(* Content-type: application/vnd.wolfram.mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 12.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 158, 7] NotebookDataLength[ 1474290, 26991] NotebookOptionsPosition[ 1456858, 26736] NotebookOutlinePosition[ 1457286, 26753] CellTagsIndexPosition[ 1457243, 26750] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"Mp", "=", "938.272"}], ";"}], " ", RowBox[{"(*", RowBox[{ RowBox[{"mass", " ", "of", " ", "proton"}], ",", " ", "MeV"}], "*)"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Mn", "=", "939.565"}], ";"}], RowBox[{"(*", RowBox[{ RowBox[{"mass", " ", "of", " ", "neutron"}], ",", " ", "MeV"}], "*)"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Ebind", "=", "7.718"}], " ", ";"}], RowBox[{"(*", RowBox[{ RowBox[{"binding", " ", "energy", " ", SuperscriptBox[ RowBox[{"of", " "}], "3"], "He"}], ",", " ", "MeV"}], "*)"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Esep", "=", "5.49351"}], ";"}], " ", RowBox[{"(*", RowBox[{ RowBox[{"1", "p", " ", "separation", " ", "energy", " ", SuperscriptBox[ RowBox[{"for", " "}], "3"], "He"}], ",", " ", "MeV"}], "*)"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"p", "=", "197.327"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"mass", "=", "625.411"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"range", "=", "1.6"}], ";"}]}], "Input", CellChangeTimes->{{3.8762198970264225`*^9, 3.8762199052580624`*^9}, { 3.8771827496672716`*^9, 3.8771827824193807`*^9}, {3.878286651057734*^9, 3.8782866641181517`*^9}, 3.87828681545533*^9, {3.878287607680107*^9, 3.8782876162121983`*^9}, {3.878288500983369*^9, 3.878288503593914*^9}, { 3.878288562531385*^9, 3.878288589887306*^9}, {3.8782886404025097`*^9, 3.8782886526954603`*^9}, {3.879567012355792*^9, 3.879567019384864*^9}, { 3.879568558358831*^9, 3.879568558418344*^9}, {3.87956872817546*^9, 3.879568728576707*^9}, {3.879571401760208*^9, 3.87957144648076*^9}, { 3.87957152299862*^9, 3.8795715245943327`*^9}, 3.880085368016633*^9, { 3.880086070054988*^9, 3.880086097201236*^9}, {3.8800861558228188`*^9, 3.880086188062545*^9}, 3.880086260893177*^9, {3.880086310836638*^9, 3.8800863244282427`*^9}, {3.880086371096949*^9, 3.8800865058217907`*^9}, { 3.880087577450821*^9, 3.8800876498236017`*^9}, {3.880095497014333*^9, 3.880095545116588*^9}, {3.880535317453936*^9, 3.8805353221622753`*^9}, { 3.883645073234694*^9, 3.883645082508847*^9}}, CellLabel->"In[1]:=",ExpressionUUID->"ad6df89e-d3d8-490c-ae91-dac6d80d1b5a"], Cell[BoxData[{ RowBox[{ RowBox[{"fIn", "[", RowBox[{"q_", ",", "r_", ",", "ang_"}], "]"}], ":=", RowBox[{"q", " ", "r", " ", RowBox[{"SphericalBesselJ", "[", RowBox[{"ang", ",", RowBox[{"q", " ", "r"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"fOut", "[", RowBox[{"k_", ",", "r_", ",", "ang_"}], "]"}], ":=", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ FractionBox["2", "Pi"], "k", " ", "r"}], ")"}], FractionBox["1", "2"]], " ", RowBox[{"BesselK", "[", RowBox[{ RowBox[{"ang", "+", FractionBox["1", "2"]}], ",", RowBox[{"k", " ", "r"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"dfInR", "[", RowBox[{"q_", ",", "r_", ",", "ang_"}], "]"}], ":=", RowBox[{"D", "[", RowBox[{ RowBox[{"fIn", "[", RowBox[{"q", ",", "r", ",", "ang"}], "]"}], ",", "r"}], "]"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"dfIn", "[", RowBox[{"q_", ",", "ang_"}], "]"}], ":=", RowBox[{"Simplify", "[", RowBox[{ RowBox[{"dfInR", "[", RowBox[{"q", ",", "r", ",", "ang"}], "]"}], "/.", RowBox[{"r", "->", "range"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"dfOutR", "[", RowBox[{"k_", ",", "r_", ",", "ang_"}], "]"}], ":=", RowBox[{"D", "[", RowBox[{ RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ FractionBox["2", "Pi"], "k", " ", "r"}], ")"}], FractionBox["1", "2"]], " ", RowBox[{"BesselK", "[", RowBox[{ RowBox[{"ang", "+", FractionBox["1", "2"]}], ",", RowBox[{"k", " ", "r"}]}], "]"}]}], ",", "r"}], "]"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"dfOut", "[", RowBox[{"q_", ",", "ang_"}], "]"}], ":=", RowBox[{"Simplify", "[", RowBox[{ RowBox[{"dfOutR", "[", RowBox[{"q", ",", "r", ",", "ang"}], "]"}], "/.", RowBox[{"r", "->", "range"}]}], "]"}]}]}], "Input", CellChangeTimes->{{3.876220044319666*^9, 3.87622004450217*^9}, { 3.8765038952022886`*^9, 3.8765039216405926`*^9}, 3.876505041667235*^9, 3.8765050912134867`*^9, {3.876505234788604*^9, 3.876505237898678*^9}, { 3.8765054584182944`*^9, 3.876505476330624*^9}, {3.876505721940834*^9, 3.8765057522605066`*^9}, 3.8765058613666496`*^9, 3.8769000872264614`*^9, 3.876912136986064*^9, 3.8771829534368153`*^9, {3.8771829917988296`*^9, 3.8771830129482393`*^9}, {3.8782869289935923`*^9, 3.878286953801031*^9}, { 3.87828729637827*^9, 3.878287488606941*^9}, {3.878287533404892*^9, 3.8782876443143806`*^9}, {3.878288596072308*^9, 3.8782886055224047`*^9}, { 3.878288683259207*^9, 3.8782887288588037`*^9}, {3.878288791621035*^9, 3.8782888301901093`*^9}}, CellLabel->"In[8]:=",ExpressionUUID->"2fc4ef7c-d275-441b-9d3d-7d7239f74130"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{ FractionBox[ RowBox[{"fIn", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "U"}], ")"}]}]], "p"], ",", "range", ",", "0"}], "]"}], RowBox[{"dfIn", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "U"}], ")"}]}]], "p"], ",", "0"}], "]"}]], "-", FractionBox[ RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "range", ",", "0"}], "]"}], RowBox[{"dfOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "0"}], "]"}]]}], ",", RowBox[{"{", RowBox[{"U", ",", "0", ",", "100"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.8762201382091026`*^9, 3.8762201688017263`*^9}, { 3.8762202544209175`*^9, 3.876220291312565*^9}, {3.8762203214092555`*^9, 3.8762203787933655`*^9}, {3.876220573416912*^9, 3.8762206019928536`*^9}, { 3.8765051098111005`*^9, 3.8765051099810953`*^9}, {3.8765051569651012`*^9, 3.8765051650170374`*^9}, {3.876505811152088*^9, 3.8765058192839603`*^9}, { 3.8768987217644353`*^9, 3.876898731622919*^9}, {3.876901070970166*^9, 3.8769010836795783`*^9}, {3.876902823818077*^9, 3.876902840384226*^9}, { 3.8771829609304247`*^9, 3.8771829704376745`*^9}, {3.87828765248904*^9, 3.878287675426609*^9}, {3.878288507460178*^9, 3.8782885088455267`*^9}, { 3.878288638199546*^9, 3.878288679533744*^9}, {3.878288714552636*^9, 3.878288714697687*^9}, {3.878288777693362*^9, 3.87828878780177*^9}, { 3.878288877525551*^9, 3.8782889008012238`*^9}, {3.878288973320475*^9, 3.878289061721037*^9}, {3.8795689049227552`*^9, 3.87956893336374*^9}, { 3.879568964437098*^9, 3.879568981740798*^9}, {3.879569036636216*^9, 3.879569049028247*^9}, {3.879571489450306*^9, 3.879571489673706*^9}, { 3.879571536098033*^9, 3.879571540253443*^9}, 3.880086196183363*^9, 3.8800862894777327`*^9, {3.880086334717277*^9, 3.880086336693862*^9}, { 3.880086380215939*^9, 3.8800863803996*^9}, {3.88053533924759*^9, 3.880535339536429*^9}}, CellLabel->"In[14]:=",ExpressionUUID->"c2ad0be7-22ee-4300-8ad8-45a6e113c1b0"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVymk4FIoCh/E5Ci2WMZulsY1thkkzGNss/iUlZSpJGoUKMyUZUqZljjok qUhcTWWp0HYKnXjqUMpSosiNtKgI2VIuSctJTvfD+7xffuYbo/3C1QgEwoFf /f+M9MmCPJNq0c7CSbdxng5uzGCZRsnyPUov5RJHXHRQrSguZMpKPC72f60d ctPBfU6MVEN2x4P50K62V6iDB0eeeH+WPvYIGLvs2OOlgwb3xL+HpZ0eXxOn QmYF6KAxoyNmQDri8Twz1lAjXgc+tzXFfdIpj752zcT2Sh00aTvPnL6eiJR3 Xj6ZIbpYkO5198JyAzixFJ61GkSEz/uuzdU2Q3VzWSVFRoQvK3yUttgSo9kv ytd2E/FXm3JHgysT00VVKfYyPVw8ELaxewkTxdpNswq36CHPeenyfyRMhBB2 B8yJ0kOqyoA1V8lESku6n26sHjatu/7qWDUTyqcKqvZePVB6BzwDfVi4ZRmf tuGYHnZ+WkXqD7LFp6d/Oigr9MAn2ZZMT2Bj44/CK79RSWj+TdLQlM5GgMs6 wQd9EkJHD/Vkn2HjZ8xcgw4jEpJaBvVZNWzcMNW7c9vsl0+7tM9XfS7qLXfp 57N/+dksv+zDcxEWHL6tbeEvP5352UZlD57P7EMm8SRI/zmeWxTIAd+rmzvQ Q0KWeLh2VygHAd/vp83vJ+HuWa8hXxkHORrF53OHSDDw/uo8Ec/BovoflOBR Eh5krW9ZdIKDgcfMpYQpElj2zGkDTzk4ONLDbjIi433obZntKi5U5oo95/zJ MCijpf+UcJHIqLKXBJKxUFNe/mQjFy0zxBTqOjJyrjLU9sRy8fvEcHLWJjKW fT94+mEGF/6GzH0VsWRczfRr3trCBSeJdvh8BhnR9/sdS3wdwPFZ3WvyhIy7 uBLJDnAAhrxX5LeTQayUF1wKdoBZLmGuZQcZpSXfSIXRDlBcFK7i95Ixppo9 pspwwNi5UN0zE2TsjJxX+sdTB1S3vgpYQqdgLzGeHbDeERGVzCJxJAWPUvlh reGOsB5x0YqUU2CsTshZsc0Rm6d6Wo/soKDqW8rspQmOqLDzvdCVQAGh59SQ x1lH+Eh/rmzMoiCxvOoi650jsqxbM67eoSBVomE1udUJQc0vb04YUiHiaE0M xjmhuPVAXJQpFaPqpPr2vU5Y0H5oZNCSisBrxptLjzihdNDOe3weFVYzeFc3 XXFCXMSMlOWLqLhbvonX+N4JR0fHiphxVEwQq71ObOEheJl/35U2Ki733acl xfIg+J9p88eXVKy/9ahfvpuHIkJ3jctbKuqkzw/5pPLQ3r9yWucHKjKqRpom L/EgWWXunKRJA3urSUDYIA/Lwg22Owlo2FS/J4Irc0YgM0Dn8J80hAmsxRPR zjBKVyUU/EVDxLUWXmW8M5ifMkPr/qZBdtpK3eugM+oYa4tNH9CwLfpxQeB5 Z+icO8USvaNht77F24ReZxBVL/OZ5vo4Lm0Mag51gd/7hz/szugj61WcZ6bM Bd5Od6/FXtTHf1aa2gXKXcD4XD+zrlQfKn7c97cJLli97sbn5Gp95OmanPyc 54Lv9dGzj/Xo4/KNmHb6axdMq+hdW8MyQLWm4crIta5Q22cb4XvHAH0F9j4v NrjC/5aZeKjBAFpY6Ll4iyv+GLDxO9FmgEBFNM9ijyuOfVi5gDFkgJGBe4Yd Oa6YCt3fP0U1hHFjbLdPlyvqZE6ffsgNsevIo+22UjfYZ+wosucZIY/ZvVUV 7QZSGolotsAIdXVfwjUUbjDh1TjYLDcCcZIR2J3ihhZZx974zUa4ELVLcOqy GySdb/yt843wVGytPuujG47fV7cd1ZkDrt6+7ME4d5hp2+fPVKOjYsYzZv1e d/TOXGyqr0fHAoJ9ZWGSO97UyMdFZnT4j3R0hmS5IyL3fNkbER07m1xY7dfd 0V4+tiFCScetQyOVNWPuSHY7uef5FB1e+xeJz3x3h2qGM7GYaIxmRW6XUo0P iTCj6Zy5MTqlS9XdSHzIGpNN33saQ23RBXEJl49HUa8+EVKN4a0W8va0nA/K wUJFFt0E//1Wvn2Xgg/5SfdlKfNMIBnV0lizjw/L+Gvrzy4wQWRXhS3pGB/u mvi8cLMJ0qpocSklfIwZy3YE3zRB2+5mjR0f+Yg787huYbApQj8J2eKtAgit vt4RR5hBm0RoaYsTwPpLjUPhdjNUcGq2BykFaJC06BrtNwNl26JKWZoA4SV7 +mQ5ZngwIPZJLBWAnr3z5Jk2M3DehMhujgsQEBP0Y3ipOV7/MNfymBRgS/Ep XnKQOVLn9JbcUxei8EDnbu9Ic/QGyr48oQmh2dF00+ewOVSt8uQPrkJIj4pL A5vMQWjYX8hQCqHeaRMpkDBwtd/T+9IBIWLMd3VXbGVAoqExPC9NCC2+96Zt CQyUeaY6CvOFeNH1ga4oYkBWdbxmTbUQ/ROc15xxBlquF3QdURfhWUX7fJNc CyifhCeRdURYPueeIvy6BWxHbZinaCJY2Z/rGmuwQJL9legLNiLQiwIS332x gOulsp/VS0Q4fIR9Y8UaS5zNu0f/clQE3ffnWZlWVshZx362OlsEA62vq6Jg BZVRZkZZnghDMcqcgiArpGWHasSWiPBxvGsWO9MKu9P+GRluEeHLdKeuHg1r 7Fi28fLSFyJ8zXG3a7e0hnxWQ9jltyLU2inVeZ7WiEjOfiEdE2Fj8Zva+fut 4fc7t7ab7AHl5NOmV2o28BWolPPpHrjFWpKqsLRBVli3ldzUA5Ju52o51wb/ Ao9CgpE= "]], LineBox[CompressedData[" 1:eJwVj3s4lHkbx+dBZEyOScIma0O9ZEu0m/xueuZkhhB6qq0sOaSyOUdWI0Kx WAkhVLKS7U0YSTwPSuggM4nKbqOIVFLkbLzz/nFf9/W5Pt/7vq7vGu/f3Hzl aDRahmz+v+fac7ZEDW4HlmZQU4i/LpW0W7vplowTfqp5UeyjSzG2fmubfb8d jHTsFOb0dCltaXXv2a/bIfFivM5E+krKNMFqulweh1zWRiY/QYfakbHJ5sMP ONC7jjxvuKBNPQvWQpvW4SCdiIzd5qVNETvHWScscBBY5QclmWhT3iuqPFVs cPCW21d56PZyKqJgY8R6Dg4RdzQKZ99oUQVlP9YcDsRBPaLfwIbQpNpe+LQV BeHgeMH/bPQ6TWqCnv1KHIJDufWwI39Bg+IdncVsT+AwZl2RkFGiQc3+2OLM SMWh4wDz4K4ZdWp3vftwxd84bOKMOYtC1aiEj4lzkkoc7AtPhk+ZqFE3DepU tYU4GHTVVY33qVJLBQabf2/E4bWctqsPV5W6jb+Lc+rEQcwW4tT6ZdSKJ5F6 o2Myn7J7a42WCuWweM3C6BsOe20Fxu1iOhVk2WfvOYODycTZ0/FZdKo1EwIa MSboHaMX9uvQqfBdyjVpmkxov9R3fPEHZeqZJM95gxUTpg5kj3XsU6L+HG+I OxbJBJ0O+TapuQIVJMr49ZcTTBjP67kxhSlQ/Eofe85JJixR6M7mP5enFH9T xgyTmGCgWjq2RCBPxYy4CzqzmeCjOx2Z2yNH+fV/iLUQMuHhMwMukY1Rtp26 MR8nmEAP/DvmUY6U1L3xcW/vNBMcVOwKsZ1ScjKV3HpvngmNM+XdNapSstLR dy5fgQWrVLjLspMWyLWtN6N5y1ngt2WPv/rJeVKjgR1VvokFikdnfhXFz5Lv ysMjAkJYQFMscDjfN0l6Gkj/LYtgQYYvueF28SR5Pz2R/T5a9k9LMYblO0mW hOWsDIxngaXrhuriz99Ib7u6O4ezWNBRXqZmrvyN/LdrXhokZEGeb+jqBudx sns6Pil8lgW50ckrzAzGSPwwY6xGyoItWufdCl58Jqv/ySIm5diQe/Oax6mo z2Rm81WzSBU2FPS+XKFfP0q6pD54eFyfDRBpFr2f+Yl8tFpFPcaODfqXBWMf w0bIe6zM3FOn2HAwaiYz3GaQHPSrfxydyAbLCqPq2Y8DpGLSgFzoWTb8kjab P3h5gOQ8sD7qk8kGRiz95Hu1AfIR+5U9fpkNpv5izrnRN6SYY/xhSTMbDEOX x7c0SMg3jsJtZzAOuDwyS3LY9oKUP/w6JG4JB3prAy0HGntJ45SlZVHKMp/y tNPYvpf0e7hHM1CDA2V1WQ6x7B5yhLf4znGNjGd6uoP3dpNf+ZwMhj0HcjdO iHyKukhsx8s36QIOjG0xiIwyvE+2NXp8H5bAgWM5HuG5vHtkhkWXD5HMAa8s 9ZLyyBbSULVtwDCDA8UdquqXRU0kPK55V1nEAcraotbLpIEU8P4cETfK/AQR LIm7SdI4nK86CxwQuMTW4hqFqK22ZeM8jQsCrUmpyegllGGCQiUKXIBOYXPO 0xJkqGQ9UcbgAhXecIibWo6g9fvJn/S5UGzgm974+RYS4Isze7dyQaIc+MPl +QZEsxdixVFcUFfezHJPbEd78KGO3t+54KUx/F8lmw5UzV6ZpXGKC4ZDTR/m 3nWgAOfotfFnuWB5YEfNdfwR6tprx/PLl+V7Ihe4U0/Q5YjWrP80cMHF+/V2 BwMRwiuem9TRHEHSWmrDNuxByTpTTqIkR1jlncYAQwnKamt725ziCCWZCro/ gwQVReVFVaU7Qtjbhvs6XhIkfLXtalaOI8TcJXNiiyRosChh3vMvR0hQqtss 1e9HDqaa11+1OoLV1mkY1HyD5reYLx1cwgNc8b4e88NbdGyPT/NUPA8ijHk3 TD2GkGrRiMQ2mQd3R8YXfw4eQhVvgxfjUnngVXNaZ/MfQ2joiMCWcZ4Hp3j1 K/rvDaH9Jy8KDUt5kP36bYPepmHEL+kp57bxwNbuCW6t8h6ZjvLO5TP4ILcz 5I+O8hHUH2d1EJ3nQyZ7A9f8709o7QrVtGMX+JD3nFlQ3PIJBZYP1V66yAe8 56NI7uUnNCHKU1Eo5QPNbu6nLMVRtNQYq2oT8iFZ+E7j0/5RZNH6GHPr5UN2 e1phEuMziqb7Fx3Uc4INa6aVxszH0PJzF16eueQE3ZvUgg/6f0Gl6uuiHuQ7 Q6Ft6aD4yDhqClnNNLm+A66l2R6xcPqGCg2L9be5u4CpSlu/WdckaoiZpQU8 dQHzK8+XVayeRmt4SvPf73IFnwGpUbTXDKruNEt58cwVJAJRWH/gLEptlVoa 7nMDq2vJ9BtH59C50PeBXn1uwO/wjDvBnkcx2t+pGe3eCY8hARtRXkDXzJZ0 hEl2gs1dh6t+HQtIcQLTbdrvDl8iPZPUfpOivywrYwuH3KFafMbdSWsRmXmX Oy8c9YBztuNnpH8tolfculseHzxAPGjAOLKcBqIr0eYo1BP+KQyjkjxoMF3l amv01RPqWS3i3Wk0WLwdUpMYtAumfO8M3W2mAc+SxYz5tguiquS90TQNHuzb cOhwKAFBpf66B0ww0PQJqL8YTkCdT1P7elMM9gdcWvY0koDnr9K50zKeDNG6 ZRUjyzPe1Gasw8A4eWp2IYGAYXTHlTTHQHCLTM3IJuBLvPIfWlYY/KzkcrOm jgCuYKswFzBIZJyRG64n4CI9OvaAPQZdGs3uqxoJkE/tXLnWAYMAfauZ2GYC hC3q925txyDnx5UOnIey+ydGU+0sDCb2SsQv+whYKdHp/8zHAH7VXbvsNQEJ V6yfVTlhkOLndhz1E3ClsiIv0hkDo+B7+iWDBBznf7ok3YGBa2KZ79FRAm6f Hsin78SgIKW/tmiMgO++9q9/LOPhjFV00VcCFrpF6enusj75qTespwhQ8egT a3li8Kj4Pu3QDAHjsXrV3TLWKZW65c8RIN6WH5CzCwPv6zZXHy8QEEgGfSEI DG7cPDa1uEgAx+Sa86rdGPwPGOM7RQ== "]], LineBox[{{35.51863317699764, 11.596563375425081`}, { 35.5187070404136, -6.351023695319389}}]}, Annotation[#, "Charting`Private`Tag$4194#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 100}, {-6.351023695319389, 11.596563375425081`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.8762203703057337`*^9, 3.876220379980977*^9}, 3.8765050131761856`*^9, 3.8765050505154057`*^9, 3.876505166733531*^9, 3.876505253203033*^9, 3.8765054682425213`*^9, {3.876505736001601*^9, 3.876505760106862*^9}, 3.8765058280963507`*^9, 3.876505866424039*^9, 3.8768987397838306`*^9, 3.8769000954185047`*^9, 3.8769010854667377`*^9, 3.8769028434196196`*^9, 3.8769121476361966`*^9, {3.8771829651953516`*^9, 3.877182971722556*^9}, 3.877183021959716*^9, {3.8782890252122993`*^9, 3.878289063704639*^9}, 3.878292725117619*^9, 3.879568890539933*^9, 3.8795689360093517`*^9, {3.87956897106921*^9, 3.879568983881357*^9}, { 3.879569032952899*^9, 3.8795690542179728`*^9}, {3.879571487079197*^9, 3.8795714913553343`*^9}, {3.879571532521268*^9, 3.8795715419674997`*^9}, 3.880084507024222*^9, 3.8800853736383677`*^9, 3.8800860259425*^9, { 3.8800860771259003`*^9, 3.88008610210466*^9}, {3.88008616318576*^9, 3.880086198003504*^9}, 3.8800862293413563`*^9, {3.880086266837357*^9, 3.8800863385534143`*^9}, {3.880086376964778*^9, 3.880086509882822*^9}, { 3.880087582924012*^9, 3.8800876543745813`*^9}, 3.880094554518929*^9, { 3.88009550172042*^9, 3.880095549656839*^9}, 3.880450030900723*^9, { 3.8805353288921747`*^9, 3.880535341553361*^9}, 3.880612842330372*^9, 3.880950027979465*^9, 3.881033736935156*^9, 3.8811977022974987`*^9, 3.8812013937018147`*^9, 3.881204995602592*^9, 3.881205746877109*^9, 3.881297072559223*^9, 3.882090675664824*^9, 3.882090736401456*^9, 3.882329813363209*^9, 3.882420972729521*^9, 3.882867302484498*^9, 3.88310580593391*^9, 3.883108710657278*^9, 3.8834686984704847`*^9, 3.883472605286237*^9, 3.88347925568016*^9, 3.8834809731872*^9, 3.8836374523846283`*^9, 3.883637494948988*^9, 3.8836441585217752`*^9, 3.883708392503702*^9, 3.883810143515602*^9, 3.884769131612815*^9, 3.8848443323945837`*^9}, CellLabel->"Out[14]=",ExpressionUUID->"adac3eb3-351b-4931-9575-e2c0f789a3f1"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"myU", "=", RowBox[{"U", "/.", RowBox[{"FindRoot", "[", RowBox[{ RowBox[{ RowBox[{ FractionBox[ RowBox[{"fIn", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "U"}], ")"}]}]], "p"], ",", "range", ",", "0"}], "]"}], RowBox[{"dfIn", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "U"}], ")"}]}]], "p"], ",", "0"}], "]"}]], "-", FractionBox[ RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "range", ",", "0"}], "]"}], RowBox[{"dfOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "0"}], "]"}]]}], "\[Equal]", "0"}], ",", RowBox[{"{", RowBox[{"U", ",", "60"}], "}"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.876220514856612*^9, 3.8762205364843173`*^9}, { 3.87641380286448*^9, 3.876413813776764*^9}, 3.8765050174731894`*^9, 3.876505834830249*^9, {3.8768987485820503`*^9, 3.876898765145231*^9}, { 3.876901089974984*^9, 3.876901108003067*^9}, {3.8769028508117027`*^9, 3.876902864692957*^9}, {3.876912179610631*^9, 3.876912183976046*^9}, { 3.8771829776133184`*^9, 3.8771829780132623`*^9}, {3.8782890831225157`*^9, 3.878289091001782*^9}, {3.878289430122672*^9, 3.878289446396935*^9}, 3.87957154916846*^9, {3.8800857093214073`*^9, 3.880085717549158*^9}, { 3.8800858670665894`*^9, 3.8800858795038633`*^9}, 3.8800861705593033`*^9, 3.880086201872179*^9, 3.8800862943082933`*^9, {3.880086341393777*^9, 3.8800863417389393`*^9}, 3.8800863843913307`*^9, 3.880087663509973*^9, { 3.880095506086014*^9, 3.880095529013947*^9}}, CellLabel->"In[15]:=",ExpressionUUID->"22f1491b-05f8-4461-9d8a-7023940b0eba"], Cell[BoxData["49.82150997759732`"], "Output", CellChangeTimes->{ 3.8762205374997587`*^9, 3.8764138310515523`*^9, 3.8765050188080196`*^9, 3.8765050618099136`*^9, 3.8765058364421587`*^9, 3.8765058704783134`*^9, { 3.876898758684599*^9, 3.8768987659384336`*^9}, 3.876900107897892*^9, { 3.876901091009881*^9, 3.8769011091519423`*^9}, {3.8769028519905815`*^9, 3.8769028659018292`*^9}, 3.8769121525485616`*^9, 3.876912185418889*^9, { 3.877182978736745*^9, 3.877183025647654*^9}, 3.878289092820195*^9, 3.878292505137838*^9, 3.8795690844906807`*^9, 3.879570642631118*^9, 3.879571550250393*^9, 3.880084507942923*^9, 3.88008537507251*^9, 3.880085724042804*^9, {3.880085881510993*^9, 3.880085919139512*^9}, 3.880086027259701*^9, {3.8800860790573597`*^9, 3.880086104048421*^9}, 3.8800861718601227`*^9, {3.880086203223221*^9, 3.88008623091987*^9}, { 3.8800862683749933`*^9, 3.880086295540452*^9}, 3.880086343066498*^9, { 3.880086385464319*^9, 3.8800865107303*^9}, {3.8800875839389973`*^9, 3.880087671218701*^9}, 3.880094555917272*^9, {3.880095507297576*^9, 3.88009555113643*^9}, 3.880450032982963*^9, 3.880535343801962*^9, 3.880612844013884*^9, 3.8809500300512943`*^9, 3.8810337399875727`*^9, 3.881197703701296*^9, 3.8812013954517117`*^9, 3.881204996400365*^9, 3.881205750095643*^9, 3.8812970735405416`*^9, 3.882090676633381*^9, 3.88209073737057*^9, 3.882329815144743*^9, 3.882420973479946*^9, 3.8828673212577467`*^9, 3.883105806840324*^9, 3.883468700460279*^9, 3.883472606105728*^9, 3.8834792569402533`*^9, 3.883480975539918*^9, 3.8836374617939367`*^9, 3.883644159544923*^9, 3.883708393705941*^9, 3.883810144934224*^9, 3.884769133085472*^9, 3.8848443564823027`*^9}, CellLabel->"Out[15]=",ExpressionUUID->"fa75ed66-267b-4eeb-bd38-cb3311c36088"] }, Open ]], Cell[BoxData[ RowBox[{"(*", RowBox[{"0.6401531831830206", " ", "2.5426173021971623", " ", RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "r", ",", "0"}], "]"}]}], "*)"}]], "Input", CellChangeTimes->{{3.8800859130397387`*^9, 3.88008591646206*^9}}, CellLabel->"In[70]:=",ExpressionUUID->"0b790137-d050-4e54-820e-ce3bbd34ede5"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"myCoeff", "=", RowBox[{"coeff", "/.", RowBox[{"FindRoot", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"fIn", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], ",", "range", ",", "0"}], "]"}], "-", RowBox[{"coeff", " ", "*", RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "range", ",", "0"}], "]"}]}]}], "\[Equal]", "0"}], ",", RowBox[{"{", RowBox[{"coeff", ",", "1"}], "}"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.878289683612082*^9, 3.8782897289455433`*^9}, { 3.878289801822311*^9, 3.87828982476785*^9}, 3.879569118948894*^9, { 3.879571556146941*^9, 3.87957155754856*^9}, {3.880085925692211*^9, 3.8800859424236307`*^9}}, CellLabel->"In[16]:=",ExpressionUUID->"444da03a-39cf-4c3d-bb1b-9d322299f630"], Cell[BoxData["1.8472893558629866`"], "Output", CellChangeTimes->{ 3.879570442808729*^9, 3.87957064413636*^9, 3.8795715629434137`*^9, 3.880084509531536*^9, 3.8800853767467327`*^9, {3.880085901406917*^9, 3.880085945613738*^9}, {3.88008606422783*^9, 3.880086105861314*^9}, 3.8800861742475863`*^9, 3.880086206862755*^9, {3.8800862701325703`*^9, 3.880086297423738*^9}, 3.8800863450137033`*^9, {3.8800863867709208`*^9, 3.880086511995571*^9}, {3.8800875856465683`*^9, 3.880087672538249*^9}, 3.880094557765129*^9, {3.880095510469705*^9, 3.880095552895302*^9}, 3.88045003501324*^9, 3.8805353471630363`*^9, 3.880612846206691*^9, 3.880950033016953*^9, 3.881033742237726*^9, 3.881197705328814*^9, 3.88120139709656*^9, 3.881204997887946*^9, 3.8812057515020113`*^9, 3.881297075361709*^9, {3.882090678142344*^9, 3.882090681139223*^9}, 3.882090738766762*^9, 3.882329817009076*^9, 3.882420975683346*^9, 3.8828673235243196`*^9, 3.883105808436598*^9, 3.883468702242282*^9, 3.883472608076454*^9, 3.883479259019322*^9, 3.8834809778288403`*^9, 3.883637636267747*^9, 3.88364416115516*^9, 3.8837083958289337`*^9, 3.883810147008175*^9, 3.884769134720018*^9, 3.884844358422347*^9}, CellLabel->"Out[16]=",ExpressionUUID->"387de70c-0df1-4af5-ab2f-038dd3f17d3e"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"myNorm", "=", RowBox[{"A", "/.", RowBox[{"FindRoot", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["A", "2"], " ", RowBox[{"Integrate", "[", RowBox[{ SuperscriptBox[ RowBox[{"fIn", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], ",", "r", ",", "0"}], "]"}], "2"], ",", " ", RowBox[{"{", RowBox[{"r", ",", "0", ",", "range"}], "}"}]}], "]"}]}], "+", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"myCoeff", "*", "A"}], ")"}], "2"], " ", RowBox[{"Integrate", "[", RowBox[{ SuperscriptBox[ RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "r", ",", "0"}], "]"}], "2"], ",", " ", RowBox[{"{", RowBox[{"r", ",", "range", ",", "Infinity"}], "}"}]}], "]"}]}]}], "\[Equal]", "1"}], ",", " ", RowBox[{"{", RowBox[{"A", ",", "0.5"}], "}"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.878289888090169*^9, 3.87828992516182*^9}, 3.878290001694314*^9, {3.878290037135365*^9, 3.878290114624291*^9}, { 3.878290154622223*^9, 3.878290162835559*^9}, {3.8782925361300364`*^9, 3.87829257237002*^9}, 3.879569178546549*^9, {3.879569241919948*^9, 3.879569245267922*^9}, {3.879569277686201*^9, 3.879569279300724*^9}, 3.879569335601615*^9, {3.879570630856184*^9, 3.879570632038727*^9}, { 3.879571567743319*^9, 3.879571576536313*^9}, {3.880085952401537*^9, 3.8800859833274717`*^9}, {3.883637751241373*^9, 3.883637752391686*^9}, { 3.883637811004653*^9, 3.883637814302787*^9}}, CellLabel->"In[17]:=",ExpressionUUID->"7835cc6b-0406-456f-a3a3-ab6f89b509c7"], Cell[BoxData["0.7088388229648961`"], "Output", CellChangeTimes->{ 3.879569148123713*^9, 3.8795692505602217`*^9, 3.879569281919847*^9, { 3.879570637910142*^9, 3.879570646893675*^9}, 3.879571580819501*^9, 3.880084514207199*^9, {3.880085965594881*^9, 3.880085985349716*^9}, { 3.880086066066136*^9, 3.880086107886919*^9}, 3.880086176698345*^9, 3.8800862093348007`*^9, {3.880086271816217*^9, 3.880086299605596*^9}, 3.8800863471623774`*^9, {3.880086388564464*^9, 3.8800865137393713`*^9}, { 3.880087588111286*^9, 3.88008767445716*^9}, 3.880094560272614*^9, { 3.8800955121968946`*^9, 3.8800955547288637`*^9}, 3.880450039503292*^9, 3.880535349939876*^9, 3.880612851865893*^9, 3.880950035526105*^9, 3.8810337446842613`*^9, 3.881197707984967*^9, 3.8812013995845327`*^9, 3.881204999998212*^9, 3.881205753650358*^9, 3.881297078072654*^9, 3.882090683114286*^9, 3.8820907493071747`*^9, 3.882329819263648*^9, 3.882421007609671*^9, 3.882867325941373*^9, 3.883105810961122*^9, 3.883468704658401*^9, 3.883472610201914*^9, 3.883479261565939*^9, 3.8834809805222692`*^9, 3.8836378190031*^9, 3.8836441641011047`*^9, 3.88370839836441*^9, 3.883810150001431*^9, 3.884769137781955*^9, 3.88484436548046*^9}, CellLabel->"Out[17]=",ExpressionUUID->"decc104e-e4ab-4417-a933-fcf86b815057"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"Piecewise", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"myNorm", " ", RowBox[{"fIn", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], ",", "r", ",", "0"}], "]"}]}], ",", RowBox[{"r", "<", "range"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"myNorm", " ", "myCoeff", " ", RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "r", ",", "0"}], "]"}]}], ",", RowBox[{"r", ">", "range"}]}], "}"}]}], "}"}], "]"}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "10"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.8771831750308676`*^9, 3.877183283833062*^9}, { 3.879570725415313*^9, 3.87957082556467*^9}, {3.879571586117661*^9, 3.87957160585564*^9}, {3.880085993645627*^9, 3.880086011757999*^9}, 3.880086091143783*^9, {3.880086514826668*^9, 3.8800865176568737`*^9}, { 3.883637849552927*^9, 3.883637864492828*^9}}, CellLabel->"In[18]:=",ExpressionUUID->"fc251146-842e-4797-bd33-46971b36a427"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVlnk81Nsbx2UpF92yXJJtNNV0IxSlBZ9vVBJtSFIpYy0ibiqSFkWSksYS IVskhKiopChkSVnKvszMt2xdzIxlcuv3/f1xXuf1/u85n+f9nHM0mT7WrqIi IiKfqfX/PSmYOXe1S4TJ56Tfj621wkyqmmlW+2nHULWV3dFGuOL3+/IQGi0A Ld0b9VIIfyRVRGpI0MLx7/TWEiZxFV7G/iemNO7CNBTsN4hB808P1pjGQ3BD 6wh340zM6xxgjGqUIjth+zU5gxKkfkjxHdaoRcKPOpuBP98h/3F4p5dOBzy9 nG0bt7ViSG7oxg6nDhgoXS+t8moF4/QOkxWsDtzMW9ueFd2K+0bSqeyZDrxa 3PVav6cV0bU33BzedULq6qVTjqfacJp9a9z8UDeczPhzB+59QYp0XYjs1j54 nggUK+tuhzs+3R3xY2PzGvPhAqUeiKRNlnVGsJHNKkw3MOxBvLhq14cMNu7o 5Bkl2/WgptZN/WEbGwLPhvQlMT1YYTub5rqRg6elAzajC3vx3YOR2zOHC+kF 5mdL5/ThePT58qYoEouvuDZWDfZBVJDW+/ohifM5cdvqpvqQsL9G5PFbEkpq TPlKiX58UJU3i+ST+NAdHBiq2Q+trOxqC/tvcLbp1D1o34+RF81NbzW+41R9 +ODqyn54c/9mF+cP4oJKTveWyAH0ObZLvqkdhGiklItrwgBsvl7TaeAMoskq 7j+/rAGsr/sWwF08BJ8tWmv3vRmAWGHmQsWwIZyb1jU34A8gPkjT5MyRYUz9 si7fa8eG1GSTc0jgMJx/sDyMmWyc97kYfitmGNoZJQ5/ebPBZPa2ZNUN41qd Pxl+lQ3t7UmeXw1HMHL/+u4rT9h4I698d8PCUbzM+ce8WJoDg8ia8q1ao9jO o006KnLwYO5Zzt5to9i848RaAY2DGzNtuseDRnHWjr2Rs5YDu17W+4TvoxAx /rK+zpGDoZyF/J8VP5DS7ChanMuBlOYVRu/6MbjX1urnreeixui2bvDWMcxd arNAh+Ai1D7ZUM16DJJ3riveM+dCNOq5+UHPMaQvfx0JOy6Ev0bcvySNIWGL pGe6HxfDXfuyP4qO4xb78un2LC5yppkF3gvGIWqWobIynwsPhZPP56uOo6Pu 93X3Yi44ltdrLNeOw6/Yvii7gouusvLv1e7jWJHLv2H2lYv6eMbfFfXjaDum KGgTI3G92GD1kfZx+NRX141LktjetHnDL+44Ku6Zqc7MJ1E175CF0e9xXLNs X9SgROLl6ahjz1dPwPjNr3nXV5IIjE7y3W8ygcO+MgaSuiTW5+cETO6YQLnG sud++iSKuVXhBi4TuK8w8FzGiESe7czDgtgJyARv1be1IuF1cm7R7vQJVB4f KTHYQ2LlDfmyH48nMD9gwz9zbEk8qFz1Qbt2Au3sI1FHDpJIXsMcyv45gWVp g8JVx0gc2uUzYS7Jw/JX1tM+XpTXx4OEpAIPmWsclZJ9SMSmxkot0+HBxWHF 43J/EjcX1q1MPcqD/ocZ4cJLJEoN1Up2efNgR7+xZziEBMfRB7PneOCV/DTM DyWxKU/edn8cDzYeMoWjESTcWlx7xDN5CD5jaHz8Jonon888iop4iMuw2fOR mqvvFofOz2/kob31whybGBIKvvnzXnTyULimO8E3jgTiRaI9Bnl46fy+8Oxd qj4y40GlOB+RIpzdRBKJN/On9Hzl+AgN+rtZJIXEiIHFC3UaH6vGVesf3idh FjL6MWATH1d2GS8qSSfhnQMHhgUfrgQ8lDJJJHy6zWmx4yOduMtgPiDxbprt fdmFj80aPNuYLBJjGutmdP34CNGf/29BNglV82sh3Rf4kDtcwS+m7gFz7475 EZF8MCV+uaTmkPCL0Y5fn8jHfVqTyelHVP4vg5eQ2XzU6hy4pJ9LopbdlHvn KR9hRi1a7RTzpeiGm6v4kOGwjN3zSNDW+L/58YmPJzvnPe2m2PJAteW9Xj5S 9QpYRvkkTl9UbrMY5cO6Wbs9hOK0LM+jU0I+vknrhzyhuKHx1VCGpAAhxO3o OoqnBQv8rRUFuOyuM6+eYroa8/dvugDh86T6iynetaU4PG+1ADcMjWihFAd6 zlU4CAGeJAuqQHFmtH2y5E4BGKcufOyn6mkqzVnx1EGA98GbCC+KZ/tmi5w9 BKhSyFDqpc7DkNxtLHtaABUVK7uNFFvrplaXhwggJdE7e57KI9iOt9frtgDm zTSZHCqvh+e3dimnCLBL/seVcirPlow4t+pcAY71bPJ4QeUtUj84dqpMgKdf lZ7dp/qhxdt0bkmNAAv0sv28qX7ZLb4p0dQqQF+C1r2lVD/zPNYs1hoXwJRx yWRHGomvt65kfP0lgJatZVkp5YP4szadUJlJKGdPP5SlfHGQOGfWz5iExD/C 4cBEEqHaDQ03107C+D8p0xuUb4U2GvZGZpPQ+HRaPpTyUTKt0ivOcRJDFVw9 /Tsk9Gv/mtriNYmWUo9LJOWz45j7pYmASRQWbrO7TPleYiITuzNmEvfX0+L+ CSfB7LR9LVY/CfqqmQqjYBJSif0nfNsnsadCpdv0HIkiB2/VXnISSYfueK05 S0KsIyygbM4U7CPY4w2+JDK+lun7Gk5BbSJzfNKZhFW8+UDPlino3TkpZnGU 8ml/S5SV9RQWCJPTrxwisfXL6CjjxBQOvXVIfk7dD2QrLbsnbQpKrWkj8luo +Y7Js7MqmIJ2uGlfEUis27dRouzVFMycBJc3bSIR1mLDjPk6Ba9lsd/+WENi RXOoqtWf03CSe1KQqE7ieNNIVGnANAy+89PieFzIRQWAETaNdReWfm4e5aJs 99wfLNY0NuVeFRV+o97VjxqWJx9P46yuV7B4Fxe5DdYSDO40+sNDb8hVcvHj w/MA1p4ZrG76FLcokgvfd1eYPgwhBl9v2btekQt1zra5k/pCfHxQs2THAi7q RP/ICSKEsBN33+QoycUyInI8/IAQnz7yTSKFHLSXxVzMiBCiaIl34NxeDjYX PEhu/1eIBmVfVddsDmQTazrMnv9E42ZTssGIg8KTMjaLLP7DHFnl5cu82Eg9 5zmkt1+EOPpYo0S6qh+XU2b38kfmEJ10fes2+z6INPcRLwPFiGdxdXFszR4s P+V21nalBOEwcOSVPasTHEGcnfSrucS0mCDvtks7dnCPn4/2lSTylUv/aDT8 gl2cKC11dSnCTDjSn2pG/ZcqmRdr8qSJJ5b/1GjFNUNHtk3N7Mh84raEqeeF kU+QgsCpi/cnoRsRDNkLTTAfdZhasm8hEfPJ1bqC0Yivb13mOGjLEmNcp7Nu iXUouVblSBPIEoG/1DYke9XCTcK/r7FRjjhKHlCIJarh7HeuRCZBnrhDnx1y c3kHXXetRisnBcIlu1Hl9tNKfJTTlvbf8Bexu0DOwUbqLV7kX07UFlMkLK2y xMMTK3Buzso99d2KRCD7/qPMw+WQ6grc7l2sRFwOCWL4Nr4A94EmKyVoEcHN W1uul1QK1gpl8dJ9yoSSocRiX+9niEpwq3aiLSZCJX4yv98qgQPrcKPMt8VE RPHAld7eJ5jekjmTUq5CNKfUrzNeXQQ21/Ts2zBV4nD59hGnigKkGa9WaXBS I5amvXjESctH3lV/WfdV6sTTpFztEzq5CNvnbCkmUCfaSvK+rJ56iLVdqQ/D GjSI28KgVxvfZiH+78S8BksacYadqnWgJxMXKiLjLUtphInog0r7/9KxU2Vf 5oelmsTh5y02djvTsNm7+qBsuCYhczRP36LzPlJUmUvrBZrErLOG1c/WZCyt zIrddXAJIafTSTKO3EPUqrcrP5cvIS6KsaQLlyXAjSf+qXYlnZAI0ukw+hEH ZuEELfwWndAI9unRl4yF12Wb2R236cSZUKVYeZFY+NsUf5G5Qyc+npHYOTkV g2sC/5tRsXQiLsS8uOpbDPI3zPyMS6ITHguvW1ytjsHMm99tDx7Rie5/I+6y wmIQ9VkmsqqaTlhkF6zn/BGDhPQTHqG1dKJLPOGlpmgM0k81mm2voxNBn/XU mEIWnipGCesa6cR1A52Tw0MsdDnIezS30okSsQnQ6llgsJXNBth0Yp3jmnuy t1jQKw5Uz+DSiWsFGieCwljYeLVzxvUbnUhWlZAausCCFSOpYHCIOq9DfHrD SRb8PGnq4+N0Inq/4oan1iwEGV2aKeLRiRVlU1aGlixcnT/QckpAJ0jTxKUv zFiIf5weMT1NJ+4KFVTqDFhIuyjuXiakE3IGA4b7V7HwaK+radAsnTiefUSB XMZC8ZL3aia/6MS7+vDHZ9RZKOctn6EePGLR6cOSMkos/A9M949z "]]}, Annotation[#, "Charting`Private`Tag$6378#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 10}, {0., 0.7088375225314254}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.879570843622718*^9, 3.879570853774201*^9}, 3.879571608345409*^9, 3.880084516269706*^9, 3.880086015267064*^9, { 3.8800860676554127`*^9, 3.8800861091655207`*^9}, 3.880086178702873*^9, 3.880086211051835*^9, {3.880086273266088*^9, 3.880086300605966*^9}, 3.88008634841398*^9, {3.880086390133037*^9, 3.8800865180731173`*^9}, { 3.880087591163252*^9, 3.880087675790471*^9}, 3.88009456141636*^9, { 3.880095513424275*^9, 3.880095556137561*^9}, 3.88045004068221*^9, 3.880535351094419*^9, 3.8806128530849047`*^9, 3.880950036573413*^9, 3.881033746188324*^9, 3.881197709406109*^9, 3.881201401065322*^9, 3.881205006577002*^9, 3.8812057546359453`*^9, 3.8812970790113373`*^9, 3.882090684242483*^9, 3.8820907505636683`*^9, 3.882329820155367*^9, 3.882421008343701*^9, 3.882867333813284*^9, 3.883105812233966*^9, 3.883468706133246*^9, 3.883472611067889*^9, 3.8834792628799133`*^9, 3.883480982442588*^9, {3.883637822666875*^9, 3.8836378656838903`*^9}, 3.8836441657272778`*^9, 3.883708402250855*^9, 3.883810152138495*^9, 3.8847691387752037`*^9, 3.8848443667753*^9}, CellLabel->"Out[18]=",ExpressionUUID->"cbf0ca72-c6a2-402d-87f9-4bf3c9ee4130"] }, Open ]], Cell[BoxData[ RowBox[{"(*", RowBox[{ RowBox[{ "R", " ", "\:0434\:043b\:044f", " ", "\:0433\:0435\:043b\:0438\:044f3"}], " ", "==", " ", RowBox[{"1.561", " ", "\:0444\:043c"}]}], " ", "*)"}]], "Input", CellChangeTimes->{{3.8800865535980377`*^9, 3.8800865699855547`*^9}, { 3.880087570285039*^9, 3.880087570627646*^9}},ExpressionUUID->"700162e1-a626-4c8d-a329-\ bbb787d8421f"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ FractionBox["2", "3"], RowBox[{"Sqrt", "[", RowBox[{ RowBox[{"Integrate", "[", RowBox[{ RowBox[{ SuperscriptBox["myNorm", "2"], SuperscriptBox[ RowBox[{"fIn", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], ",", "r", ",", "0"}], "]"}], "2"], SuperscriptBox["r", "2"]}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "range"}], "}"}]}], "]"}], "+", RowBox[{"Integrate", "[", RowBox[{ RowBox[{ SuperscriptBox["myNorm", "2"], " ", SuperscriptBox["myCoeff", "2"], " ", SuperscriptBox[ RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "r", ",", "0"}], "]"}], "2"], SuperscriptBox["r", "2"]}], ",", RowBox[{"{", RowBox[{"r", ",", "range", ",", "Infinity"}], "}"}]}], "]"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.880095066018161*^9, 3.8800950760469503`*^9}, { 3.880095479252779*^9, 3.880095482250162*^9}}, CellLabel->"In[19]:=",ExpressionUUID->"c32958ba-7ddc-4867-b2dd-1fa3dd43d8ea"], Cell[BoxData["1.5627722778696047`"], "Output", CellChangeTimes->{ 3.880095484411269*^9, {3.8800955177242403`*^9, 3.8800955604897947`*^9}, 3.880450045304723*^9, 3.880535359224338*^9, 3.880612865473521*^9, 3.8809500412555923`*^9, 3.88103375582927*^9, 3.881197712175845*^9, 3.88120140445477*^9, 3.8812050093948936`*^9, 3.881205757259108*^9, 3.881297081513501*^9, 3.882090687117221*^9, 3.8820907525847673`*^9, 3.882329822535872*^9, 3.882421010397458*^9, 3.882867336399544*^9, 3.8831058147939863`*^9, 3.883468708544591*^9, 3.883472613558511*^9, 3.883479265279602*^9, 3.88348098966891*^9, 3.8836379760830593`*^9, 3.883644168601171*^9, 3.88370843401479*^9, 3.8838101548530397`*^9, 3.884769141109425*^9, 3.884844369181579*^9}, CellLabel->"Out[19]=",ExpressionUUID->"0fa21feb-777f-458b-ab6c-cb7e09ed4493"] }, Open ]], Cell[BoxData[{ RowBox[{ RowBox[{"PsiR", "[", "r_", "]"}], ":=", RowBox[{"Piecewise", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"myNorm", " ", RowBox[{"fIn", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], ",", "r", ",", "0"}], "]"}]}], ",", RowBox[{"r", "<", "range"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"myNorm", " ", "myCoeff", " ", RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "r", ",", "0"}], "]"}]}], ",", RowBox[{"r", ">", "range"}]}], "}"}]}], "}"}], "]"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"PsiR1", "[", "r_", "]"}], ":=", RowBox[{"myNorm", " ", "myCoeff", " ", RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ",", "r", ",", "0"}], "]"}]}]}]}], "Input", CellChangeTimes->{{3.880450259849861*^9, 3.88045026245728*^9}, { 3.880450342004263*^9, 3.880450428007826*^9}, {3.8804505083503447`*^9, 3.88045054654538*^9}, {3.8804509533799887`*^9, 3.880450954981093*^9}, { 3.884774116037643*^9, 3.8847741478580513`*^9}, {3.884774184233035*^9, 3.884774193651902*^9}}, CellLabel->"In[20]:=",ExpressionUUID->"75241ed7-817c-4778-b63c-fc8ddf258a79"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"PsiR", "[", "r", "]"}], ",", RowBox[{"PsiR1", "[", "r", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "10"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.880450434981985*^9, 3.880450437069388*^9}, { 3.880450467622654*^9, 3.880450475414855*^9}, 3.880450957309256*^9, { 3.884774153822421*^9, 3.884774162978874*^9}, {3.884774206642138*^9, 3.884774255445444*^9}}, CellLabel->"In[22]:=",ExpressionUUID->"0c53d04a-d321-40e7-bd01-78ab6fb12897"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVlnk81Nsbx2UpF92yXJJtNNV0IxSlBZ9vVBJtSFIpYy0ibiqSFkWSksYS IVskhKiopChkSVnKvszMt2xdzIxlcuv3/f1xXuf1/u85n+f9nHM0mT7WrqIi IiKfqfX/PSmYOXe1S4TJ56Tfj621wkyqmmlW+2nHULWV3dFGuOL3+/IQGi0A Ld0b9VIIfyRVRGpI0MLx7/TWEiZxFV7G/iemNO7CNBTsN4hB808P1pjGQ3BD 6wh340zM6xxgjGqUIjth+zU5gxKkfkjxHdaoRcKPOpuBP98h/3F4p5dOBzy9 nG0bt7ViSG7oxg6nDhgoXS+t8moF4/QOkxWsDtzMW9ueFd2K+0bSqeyZDrxa 3PVav6cV0bU33BzedULq6qVTjqfacJp9a9z8UDeczPhzB+59QYp0XYjs1j54 nggUK+tuhzs+3R3xY2PzGvPhAqUeiKRNlnVGsJHNKkw3MOxBvLhq14cMNu7o 5Bkl2/WgptZN/WEbGwLPhvQlMT1YYTub5rqRg6elAzajC3vx3YOR2zOHC+kF 5mdL5/ThePT58qYoEouvuDZWDfZBVJDW+/ohifM5cdvqpvqQsL9G5PFbEkpq TPlKiX58UJU3i+ST+NAdHBiq2Q+trOxqC/tvcLbp1D1o34+RF81NbzW+41R9 +ODqyn54c/9mF+cP4oJKTveWyAH0ObZLvqkdhGiklItrwgBsvl7TaeAMoskq 7j+/rAGsr/sWwF08BJ8tWmv3vRmAWGHmQsWwIZyb1jU34A8gPkjT5MyRYUz9 si7fa8eG1GSTc0jgMJx/sDyMmWyc97kYfitmGNoZJQ5/ebPBZPa2ZNUN41qd Pxl+lQ3t7UmeXw1HMHL/+u4rT9h4I698d8PCUbzM+ce8WJoDg8ia8q1ao9jO o006KnLwYO5Zzt5to9i848RaAY2DGzNtuseDRnHWjr2Rs5YDu17W+4TvoxAx /rK+zpGDoZyF/J8VP5DS7ChanMuBlOYVRu/6MbjX1urnreeixui2bvDWMcxd arNAh+Ai1D7ZUM16DJJ3riveM+dCNOq5+UHPMaQvfx0JOy6Ev0bcvySNIWGL pGe6HxfDXfuyP4qO4xb78un2LC5yppkF3gvGIWqWobIynwsPhZPP56uOo6Pu 93X3Yi44ltdrLNeOw6/Yvii7gouusvLv1e7jWJHLv2H2lYv6eMbfFfXjaDum KGgTI3G92GD1kfZx+NRX141LktjetHnDL+44Ku6Zqc7MJ1E175CF0e9xXLNs X9SgROLl6ahjz1dPwPjNr3nXV5IIjE7y3W8ygcO+MgaSuiTW5+cETO6YQLnG sud++iSKuVXhBi4TuK8w8FzGiESe7czDgtgJyARv1be1IuF1cm7R7vQJVB4f KTHYQ2LlDfmyH48nMD9gwz9zbEk8qFz1Qbt2Au3sI1FHDpJIXsMcyv45gWVp g8JVx0gc2uUzYS7Jw/JX1tM+XpTXx4OEpAIPmWsclZJ9SMSmxkot0+HBxWHF 43J/EjcX1q1MPcqD/ocZ4cJLJEoN1Up2efNgR7+xZziEBMfRB7PneOCV/DTM DyWxKU/edn8cDzYeMoWjESTcWlx7xDN5CD5jaHz8Jonon888iop4iMuw2fOR mqvvFofOz2/kob31whybGBIKvvnzXnTyULimO8E3jgTiRaI9Bnl46fy+8Oxd qj4y40GlOB+RIpzdRBKJN/On9Hzl+AgN+rtZJIXEiIHFC3UaH6vGVesf3idh FjL6MWATH1d2GS8qSSfhnQMHhgUfrgQ8lDJJJHy6zWmx4yOduMtgPiDxbprt fdmFj80aPNuYLBJjGutmdP34CNGf/29BNglV82sh3Rf4kDtcwS+m7gFz7475 EZF8MCV+uaTmkPCL0Y5fn8jHfVqTyelHVP4vg5eQ2XzU6hy4pJ9LopbdlHvn KR9hRi1a7RTzpeiGm6v4kOGwjN3zSNDW+L/58YmPJzvnPe2m2PJAteW9Xj5S 9QpYRvkkTl9UbrMY5cO6Wbs9hOK0LM+jU0I+vknrhzyhuKHx1VCGpAAhxO3o OoqnBQv8rRUFuOyuM6+eYroa8/dvugDh86T6iynetaU4PG+1ADcMjWihFAd6 zlU4CAGeJAuqQHFmtH2y5E4BGKcufOyn6mkqzVnx1EGA98GbCC+KZ/tmi5w9 BKhSyFDqpc7DkNxtLHtaABUVK7uNFFvrplaXhwggJdE7e57KI9iOt9frtgDm zTSZHCqvh+e3dimnCLBL/seVcirPlow4t+pcAY71bPJ4QeUtUj84dqpMgKdf lZ7dp/qhxdt0bkmNAAv0sv28qX7ZLb4p0dQqQF+C1r2lVD/zPNYs1hoXwJRx yWRHGomvt65kfP0lgJatZVkp5YP4szadUJlJKGdPP5SlfHGQOGfWz5iExD/C 4cBEEqHaDQ03107C+D8p0xuUb4U2GvZGZpPQ+HRaPpTyUTKt0ivOcRJDFVw9 /Tsk9Gv/mtriNYmWUo9LJOWz45j7pYmASRQWbrO7TPleYiITuzNmEvfX0+L+ CSfB7LR9LVY/CfqqmQqjYBJSif0nfNsnsadCpdv0HIkiB2/VXnISSYfueK05 S0KsIyygbM4U7CPY4w2+JDK+lun7Gk5BbSJzfNKZhFW8+UDPlino3TkpZnGU 8ml/S5SV9RQWCJPTrxwisfXL6CjjxBQOvXVIfk7dD2QrLbsnbQpKrWkj8luo +Y7Js7MqmIJ2uGlfEUis27dRouzVFMycBJc3bSIR1mLDjPk6Ba9lsd/+WENi RXOoqtWf03CSe1KQqE7ieNNIVGnANAy+89PieFzIRQWAETaNdReWfm4e5aJs 99wfLNY0NuVeFRV+o97VjxqWJx9P46yuV7B4Fxe5DdYSDO40+sNDb8hVcvHj w/MA1p4ZrG76FLcokgvfd1eYPgwhBl9v2btekQt1zra5k/pCfHxQs2THAi7q RP/ICSKEsBN33+QoycUyInI8/IAQnz7yTSKFHLSXxVzMiBCiaIl34NxeDjYX PEhu/1eIBmVfVddsDmQTazrMnv9E42ZTssGIg8KTMjaLLP7DHFnl5cu82Eg9 5zmkt1+EOPpYo0S6qh+XU2b38kfmEJ10fes2+z6INPcRLwPFiGdxdXFszR4s P+V21nalBOEwcOSVPasTHEGcnfSrucS0mCDvtks7dnCPn4/2lSTylUv/aDT8 gl2cKC11dSnCTDjSn2pG/ZcqmRdr8qSJJ5b/1GjFNUNHtk3N7Mh84raEqeeF kU+QgsCpi/cnoRsRDNkLTTAfdZhasm8hEfPJ1bqC0Yivb13mOGjLEmNcp7Nu iXUouVblSBPIEoG/1DYke9XCTcK/r7FRjjhKHlCIJarh7HeuRCZBnrhDnx1y c3kHXXetRisnBcIlu1Hl9tNKfJTTlvbf8Bexu0DOwUbqLV7kX07UFlMkLK2y xMMTK3Buzso99d2KRCD7/qPMw+WQ6grc7l2sRFwOCWL4Nr4A94EmKyVoEcHN W1uul1QK1gpl8dJ9yoSSocRiX+9niEpwq3aiLSZCJX4yv98qgQPrcKPMt8VE RPHAld7eJ5jekjmTUq5CNKfUrzNeXQQ21/Ts2zBV4nD59hGnigKkGa9WaXBS I5amvXjESctH3lV/WfdV6sTTpFztEzq5CNvnbCkmUCfaSvK+rJ56iLVdqQ/D GjSI28KgVxvfZiH+78S8BksacYadqnWgJxMXKiLjLUtphInog0r7/9KxU2Vf 5oelmsTh5y02djvTsNm7+qBsuCYhczRP36LzPlJUmUvrBZrErLOG1c/WZCyt zIrddXAJIafTSTKO3EPUqrcrP5cvIS6KsaQLlyXAjSf+qXYlnZAI0ukw+hEH ZuEELfwWndAI9unRl4yF12Wb2R236cSZUKVYeZFY+NsUf5G5Qyc+npHYOTkV g2sC/5tRsXQiLsS8uOpbDPI3zPyMS6ITHguvW1ytjsHMm99tDx7Rie5/I+6y wmIQ9VkmsqqaTlhkF6zn/BGDhPQTHqG1dKJLPOGlpmgM0k81mm2voxNBn/XU mEIWnipGCesa6cR1A52Tw0MsdDnIezS30okSsQnQ6llgsJXNBth0Yp3jmnuy t1jQKw5Uz+DSiWsFGieCwljYeLVzxvUbnUhWlZAausCCFSOpYHCIOq9DfHrD SRb8PGnq4+N0Inq/4oan1iwEGV2aKeLRiRVlU1aGlixcnT/QckpAJ0jTxKUv zFiIf5weMT1NJ+4KFVTqDFhIuyjuXiakE3IGA4b7V7HwaK+radAsnTiefUSB XMZC8ZL3aia/6MS7+vDHZ9RZKOctn6EePGLR6cOSMkos/A9M949z "]]}, Annotation[#, "Charting`Private`Tag$8166#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVz2s0lAkYwHEa02VMexqsa8yMl6aQ2C7SKc+zdE4J7UZSWmFy29zbZrXM phVJVlHvuCYhqVwTWqnJuiQN00pRDSVjyKVdNTNhKLv74X9+n/9sbqR74CI1 NTW3//rf/BPcxbYBqQ4//C5aFy5XQGsPy9WL9SNslUa5J00qYOGh8BSL9Qvs 0O9qLJApIL8pjUllpYC99k1fSZ8CwrbxwqeZOVAzQOkLv6eAnrkQcop5A9Im oge+JClgiWSI857ZAPTqQWanoQIKHxdETzA7gCqnqcZ3yaGyKkUSZv0Kym+W Prtw9QMEQ3fO5FEp8Bx8moa2TEGEbI20tnIMGC9f1Lx89x5o7ETOm81TEGd+ MDLm0AScWyGyKPSTQx6tLTHUdgy4kr0PKJ2foFw433FlyShEtyVyIzkqGHuw fc9mXRnciqJ76Dt/BnWGwSrzMCkUxoWO23ipoV8Vs06z9S0kFMzvUUyqo4RY 7967fxDUegbxXiwF72SJsqTs17DqWNDxvRZU9B7yvb+flMCwMmuf5v3FOENR VmQEvIRdsiO/XoheipUGDcvEdn2wezjd0sSEhk6qybeFTs9hvIV78lGFJt52 +emRZVYPWDN6jZ18l2MG1TE0frIbaKD075d/hetSTwAj/i/Y8d572tRzBQq6 A92bOGJ40Ryg7m3FwCmZ//GgPBHUnWk9xFIyMPaLsf3lsA4IovIGxWIt9Bs5 oJOJ7XD4aFwdPVcbLxLz40EBbbAu2FLs6q+DAdfFRhn1LfBEy0qTZ/81flet 5e1Ba4bGyoQ8K4ouuriWaqTkNUGcusX3nQO6GCu9UlbiIwRaf+zOiFo9TDjF 50SLG0F2jU0W8PVRVrFRaJPfAORqA40GTwPUs6MaRkfcgfTcoHZ/liGeps5x 352vA2/SR0wfNcTU2qHEN29uw8z2ktkCoRH2FHRu2mZbA1KZ4/Hm5JXoI9w5 6d9UDUXbbI26/I3RrKixbLioEiqSeIzgtSZYn19uFW5dDsmeh10oShPsravo s52+ARv7C28kdzExQ8W/v6W5FLLX5FV0ubAwRlpoeeB1CcQ3pWW7NLDQYdG1 lv2fi8HNyLPksRkbff545rHPrQi+jWg/yEhhI92vYr2z5AoUrOSadSrZOH+Y 6Tr3/DKYtZRm7j5oilrWkhGO7yVIX9ts8VRoiicppOYt81wIkmt0d1gQSOVb v9r6dxZwb31kpZwnkHki8vX6pZkQluAxvyuDwJjTepnaapnA86jto18k8EkM 1e3TtADOKHnn0jMJzDq1o7Z1VACV9rNzWfkEhqw465zULoDZPxd6r5UROPBP ag6ZLID0p/S01nYCna9Xbx5eJoDc4vCQ0x0E9mvk3mMvEkDxMbHTThGB/Kc2 xlwVCfW66SqRmMCzG6yjJsZJ6PfWDul5TmAd5SOwOkngSA2chqQEbjr0zSXG eRJsamNNrsoIPFPNDOcnk7AlSTIbOErg5ZVU2ng8Ca6c/Oqx8f9+vbOLu6JI OBrKMvnwgcALXrr29e4k8Lf+NlsjJ3D13WlXOxcSkpYPPTumJHDEMc+s0YmE 7Kri1JkZAnNUOkaiDSQUndQIvqsiUGvDkJ3XWhLK9gQ68ucJPHLdV2fEnIRa 04fGDl8IbOtMqYoxIUEoXzW7sECg/s8+S+l6JPwLrWpD2A== "]]}, Annotation[#, "Charting`Private`Tag$8166#2"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{0, 10}, {0., 1.3094303004261496`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.880450477448555*^9, {3.8804505437974977`*^9, 3.880450549561881*^9}, 3.880450904266193*^9, 3.880450960572151*^9, 3.8805353762901163`*^9, 3.880613017272277*^9, 3.8810337608134823`*^9, 3.881197746915187*^9, 3.881201407868651*^9, 3.882090691817799*^9, 3.8820907561724977`*^9, 3.882329825014078*^9, 3.882421014122815*^9, 3.882867339202798*^9, 3.8831058180657253`*^9, 3.883479269905888*^9, 3.883708437838564*^9, 3.883709942612533*^9, 3.884769144379784*^9, {3.8847741578122663`*^9, 3.884774256192465*^9}, 3.88484437278259*^9}, CellLabel->"Out[22]=",ExpressionUUID->"62074ccc-b8c4-4c81-84c2-596dd900eaa9"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "\:0441\:0442\:0440\:043e\:044e", " ", "\:0444\:0443\:0443\:043d\:043a\:0446\:0438\:044e", " ", "\:0444\:0435\:0440\:043c\:0438"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{ RowBox[{"funcFermi", "[", RowBox[{"x_", ",", "par_", ",", "disp_"}], "]"}], ":=", " ", FractionBox["1", RowBox[{ RowBox[{"Exp", "[", FractionBox[ RowBox[{"par", "-", "x"}], "disp"], "]"}], "+", "1"}]]}], ";"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"funcFermi", "[", RowBox[{"x", ",", "2", ",", "0.3"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "3"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.883708607441079*^9, 3.8837086099331303`*^9}, { 3.8837087412116117`*^9, 3.883708774272184*^9}, 3.8837088179574213`*^9, { 3.883709003426889*^9, 3.8837090138726997`*^9}, {3.8837090905220137`*^9, 3.883709132535977*^9}, {3.88370917863596*^9, 3.8837091884886093`*^9}, { 3.88370922072269*^9, 3.883709296948432*^9}, {3.883709583092265*^9, 3.883709583170985*^9}, {3.883709634187237*^9, 3.883709670147719*^9}, { 3.884778654983848*^9, 3.884778670453229*^9}, {3.8847829928264303`*^9, 3.884783001867096*^9}}, CellLabel->"In[23]:=",ExpressionUUID->"a7903930-b537-4744-afa4-508c0f6775c1"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVVmk4lI3fFZlb6CEhpfpHUag8hfY6t0S0PFHWRDT2ZAuJ1CAeZMhIWUb2 LeVhaKNIiy1LIhNFdqG5bUVI3t4P5zrX7zrnyzlffkfunOtJW34+Pj7uH/w/ /zzqkqTv6nYgG8fiiWZDhNhs3NSo+A8MNjvrn+s1RD3V58RUtATvh8WnmklD jBVpRTgrukBsUe+tckkjBEpPrj6jeBX0+jOFOiZGeFt1pP+UYiR62gwC6jqN 4JriXXNC8S6ehzrmL0wboyIiovS4Yj46lyvvcTQyQ9lwW51Ibj6uXMhfP+tk hme6GztrVP7DEtWn1kkMM5jzW/OlyxQgpixypex9MxiVzcn/b20hGIEnt/4Q OI0jO7Y5rFAqQuTA1eptj09DTZE9QeAxzJbdsj+w+QwEaR7EkFM5Fr9Rr7Yy PIuvetfEJrPLMVNf3XPowlnUMiNWzPeVI/+5Ssm+kLOoCm+OCVV9gZ1iVR32 T87ihgSVzs59ASXfUW7rX1aQlF//+nVSBWruH+Lwe1tBUZO5WCrkFQzM79mp HLOG3jXr4IfGVVBW/rg/aSUd26MqdFI9q5AWTopf2UTH6mQ5ISarCiHxDFe7 nXSMlXWH2zRUob9Y+6eFER23f1vfXK5TjXtesVvbouno8z+X6K5RgwOHmfJC S23AuEIv3CL5FklLv+8NE7XF48u2HZlNDThx8ErTru32yDpwnrtqogF13q/4 G7TtcVvAvSlKohH+x9QLLprZw5t55c3lU40QeNnwaIxhjx2pMQ+Of2gET1vk J+edPcz7usp8nd9BPfNJvM1FB7SLiEXJuzVhwKFkf/cbR7SdPq/qcakZ9ql+ tlFpzgjvOex8J6QZ0QYRN1Y9dcYepw25z2KbMesmYv240Rnsyx3yRHEz3OiX DRTnnWEVd0KaPdaMU6U2de2mFzD4QW3+jWMLRILXuN1b7oIf+r9qV575gA9u dh9177hi2WGmXQXJBf2jvHa/szsO5T6DigEX0SEGTS/83OEj8k0m1poLT9m7 sznh7uhqPPLWIZCLOA3xE8k57igwFfpb/PUff0W5skK/O/SdgmYsD3+Efkex QrKVB24yL0f8Ot6GNojXxFtfhHiLLWen+Sf0bh7P0oj0AsnTHDY8/wlBHUsl 9qV4wY22Vt7D7xMk0rT9DDheaNrVGn0/8RMc9ztczm31AitJx13u8x+/qCFD bJ03pOw3/i1i8RluhawnZQ+9sWr264NOyw6Mdt0aFuBdwvp1zrnB575A/Kn6 +OpIX0R0yqUy3b/gZtdHn7o0X0yxuXGxjC/waL7EH/HYF9UrtUIz735BwsaY Y3u7feG8fJX9m/YvmPZ+InlGww/mAjasQKUurG5PNy7s8kPm1DL9l6ld+Hjl RILAIX/s6rjwVpPVDRGe7vEV6xjIV/KQckjoxjz7VVXhFgY2eHufjUz7o+uz M0z2MiAudm2yndONiGPf7r0xZmCIvCnr2dyNuyv1JlQiGUjI4JzPkuxBscTb SqUFBn6dnxYRudMD/bnKsa3DAaiYZRxrSeyFzt5fHPZAEFpWeky5pvcC9RlL NaeCMLCLniKS14sS/Yxb44LXIXpJ+/vBkl5U6b47dknhOownl7ALP/bih577 eWnb6xgeYY1ESvXh08ivjLyB65DsyAjXi+qDb357lNdkMBzKq6vLAvsh52u0 tFQjFDO7xeXVw/tx26nyuKluKMKLTfxyo/uRNTZXKGAeirzcgS23UvphKpou FswIBRWzOMaxrB/HbPkPq9WFwtOBtJCc7UeP2flpHbswMJY9GXd0H8Cnpiav O5nhiKdnr5KyGsTUD6eVJqeYcD4q83KzwyDENz3mlp1n4oBamOMht0EM1PjE 77nORA//+ScXGYMY37vc3uUhE5vTthq/TxlEl9b+kWqZSJR1PYyO6h6E1hD9 lUlvJHotXgsJ079in6mo7qZDN7HFtHvqt+0QgtYpapcKs8CWwO8bF4agQd91 oVCGBeF6tuBKryEYszS2cRRZ+KppKql2fQj8dxbymg+ykKHSuM0+bQjdLMvD d/xYWLXwzLmxcwj06YHZjaMs0LLiepJNhvG+0DQ+uzMGnZMnGki9ESxOOVUy 2RWLSFnuejeDEYhYNvrvm4zFAS3Ly8lmI8BSabVbgreRzHLe8NtxBGJ1Oalu yrdhtS3MtzR8BAU5m7mdnrfR6/JScUfdCKjmAb5E0Tv4OqR+TeXENxiM7eQN HI7DxJeVf0sb8dC6rn5R5FgC1tGn1f9nwcOOqUdHb9AScWKgZfcmWx7oqSyR hNWJuP8tSmuPFw/iTs5y33QTYTcjaGIZywM/O1nKJi0R7RIT/lkfeMhi5Jfm m7JRoV37docxhVA2M3lpcxJu5vnam5iMomLrijeLAlJgvki77oPlKI6I1whf ZaZA0URsm6HdKHYev+IukJCCZ/wZs/peo7A7wylRKkrBV7N65pGYUVwzKBju 608BhNYV728cRXarAGSPp+IS5xwfa/0Y5kwqrYvl06AoJnTcJ3EMsd2tnku+ peP+WEBWaPIYWK+352n/Ssf293MLceljmNdisyJFM4DYUc7TvDEQH6vidLZk wFSWKzNXOgapz4MMfdcMhG/M6vP/PIYX5dSr5h8ZoHDoStCacUz/e3Z3m2gW Hrkx8iKTx+GuXOw5Y5OD8NKxYrP0cfCF2X4xv5SDszTrsg3Z45BcEeDxNiwH QmzNppL8cew1clN7n5+D01X80wPPx6HQf1Lk2kwOfq8JPojP46jI8/CxiM6F 9tuwtlGZCZx5sqDm+PYeWhRiCAPWxJ9/KueV7fQAehtldl24PYHBd0d1XQIf oGxTkkNYwgSu6V1ROJzwALkq2TUVaROQWiaxRbX2Aa5uK72xvWgCzd2/StuU 87Fpf6+YZMsEUpSWIn30z04wVJPhSk1CP9l19oFWATYENW+yiJ9EWu4uuyUz hTDlCGyzS5qEsm7J6CqCg4hutd2uqZNgFezO2iHFwQ/c0gvInUTjE1tOxDYO Kn8ZOmU+nYRnzPbxIicOHL1b83htk7g85m3+vZODfMe2rVdXfceIxI2X9o1F 2K3/RT058TvsrUVbLjY9RIdb8AFmxA+sEn74QUG8BJzdZkvfRE+BG3g2cpdv OaSNq9pygqdBp3fvCyl4CfTwRb/0/Imvt/Q3XBOoRLy0w1JFnxnQxAtexcrV IvCu478aTrNor7ua5nKpAUkNcZWRbnMIuSd3gGhrgr9LzNgaj1+4UU5aud5r wYj1Jhmzc/NQXzyq7evPxY354cWddr+xUcH85H9P2lHy7fDoX6cX4DT1TLOI 24FWhV09ezbwkbUhtSdLfbrgoERXjcnkI1lSMQ/iN/SgwtjcT3PtInKOm19y JLcXaqbDuZKpi8iVhSNTe/b2wzlIh7tflp/8fFrOwihhAKF2QrOLYvjJOt9P ubXcQTxfY70wLClA9poMdXiLDeHp7xAB5UgBcnh6f2ahxDAairSGmcsWk70t p72uLxnBm3V2lRGsxWSNE/vx9/YRXH9slNotLEgKbDmyfHXQN5yR/2xpzhQk NY4YSUSv5WHukaqsCkEjRXRVivfF87CVPfVGaAmN9NmusnMqgQergOduA8I0 smj1vdv5bB5eHz1amfoXjRx+F8OTTeEhosvOXUaaRgpulxEdyuJhtfDdKkEF GsmODIs5XszDPgtRz66DNPKnPp3/UAMPVwSG6mKv0sh/DPwTiAUefmvtEWEz aKQrZ5rN5qMQcP2GXlogjVx0c9Dzb34KIYJbK/NDaORU7bIcQ0EKUcTF8qpI Gvnv7a+qUSIU0kTmC2fu0khbjUj7+hUUapYvu2NRTiOrVtz1uahKQXrDbmsF PoJ8Fjf2D9OcAhkfPC3ET5BbxFe8rzxDwfGv98xvAgQZvU3YZ8GCwrOfTiVF BEG+YPltdbGicK6evfygGEH2KQYaatpSyPfmq7RcS5BCZ1f/KnOhoFNTpRy3 jyDNrJi2sgEULrkYfxe+TJCEL5+mVzqF1TtsqhX9CJLRUc6XkEHhxbw7+6A/ QQYKXvrwPJOCMJN5yDeAIGvUvV/w51C4m/f61lAYQQ4W6PwXcJ9C5dftGtUJ BPnXq4tBhg8pSNLFvIOfEaSJKo15spLCU+U1R1LLCDL2G7+qeRUFywnltc9f EOTPLNbsuWoKOQE6ld9fE2SuyoC4Wy2FvSn+0jb1BCnZk3WU0fAnX8fIo4Od BMndlxd4uZUCkTkTbtlFkMr/BBNeXAr3nYmzvj0EOddbXO76kcLUnDzBGfjT X7ZP3bl2CuGrTpvIjRJkccUeB3RSUO2xV9k/TpCqBefj1L9QaMn1WjCdJMh9 Xwv4lLoorN0dnX1zmiAN69/5ifVQeMWX7Hd/hiAte1qjFvVScKi+f6J6jiAV l+l2Tvy5RW+WrO+bJ8hWpaf2vX0UCk2qpxcWCDIjtWxzcz+F/wOCGHdY "]]}, Annotation[#, "Charting`Private`Tag$8222#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.883709244549595*^9, 3.883709297337487*^9}, 3.883709583707026*^9, {3.883709635758346*^9, 3.883709670568365*^9}, 3.8837099473258133`*^9, 3.883810158679089*^9, 3.884769146410893*^9, 3.884774461281509*^9, 3.884778671151897*^9, {3.884782993750296*^9, 3.8847830022973347`*^9}, 3.884844377928602*^9}, CellLabel->"Out[24]=",ExpressionUUID->"36cc1f20-ad7c-44e2-b367-b72d476bffe4"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "\:0440\:0435\:0436\:0443", " ", "\:0412\:0424", " ", "\:0432", " ", "\:0440\:0430\:0434\:0438\:0430\:043b\:044c\:043d\:043e\:043c", " ", "\:043f\:0440\:0435\:0434\:0441\:0442\:0430\:0432\:043b\:0435\:043d\:0438\ \:0438", " ", "\:0441", " ", "\:043f\:043e\:043c\:043e\:0449\:044c\:044e", " ", "\:0444\:0443\:043d\:043a\:0446\:0438\:0438", " ", "\:0444\:0435\:0440\:043c\:0438"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"PsiRCut", "[", RowBox[{"r_", ",", "cuval_", ",", "disp_"}], "]"}], ":=", " ", RowBox[{ RowBox[{"PsiR", "[", "r", "]"}], " ", RowBox[{"funcFermi", "[", RowBox[{"r", ",", "cuval", ",", "disp"}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"PsiR1Cut", "[", RowBox[{"r_", ",", "cuval_", ",", "disp_"}], "]"}], ":=", " ", RowBox[{ RowBox[{"PsiR1", "[", "r", "]"}], " ", RowBox[{"funcFermi", "[", RowBox[{"r", ",", "cuval", ",", "disp"}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"PsiR", "[", "r", "]"}], ",", RowBox[{"PsiR1", "[", "r", "]"}], ",", RowBox[{"PsiRCut", "[", RowBox[{"r", ",", "7", ",", "0.03"}], "]"}], ",", RowBox[{"PsiR1Cut", "[", RowBox[{"r", ",", "7", ",", "0.03"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.88370978236176*^9, 3.8837098757304697`*^9}, { 3.88370991928649*^9, 3.883709930485785*^9}, 3.883721878173161*^9, { 3.8838142442419043`*^9, 3.883814263199909*^9}, {3.883814546023432*^9, 3.8838145631924677`*^9}, {3.8847744698634768`*^9, 3.884774506177053*^9}, { 3.884778677923297*^9, 3.88477871050943*^9}}, CellLabel->"In[25]:=",ExpressionUUID->"41107c73-e600-4079-9938-9536a9f8a8eb"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVlnk81Nsbx2UpF92yXJJtNNV0IxSlBZ9vVBJtSFIpYy0ibiqSFkWSksYS IVskhKiopChkSVnKvszMt2xdzIxlcuv3/f1xXuf1/u85n+f9nHM0mT7WrqIi IiKfqfX/PSmYOXe1S4TJ56Tfj621wkyqmmlW+2nHULWV3dFGuOL3+/IQGi0A Ld0b9VIIfyRVRGpI0MLx7/TWEiZxFV7G/iemNO7CNBTsN4hB808P1pjGQ3BD 6wh340zM6xxgjGqUIjth+zU5gxKkfkjxHdaoRcKPOpuBP98h/3F4p5dOBzy9 nG0bt7ViSG7oxg6nDhgoXS+t8moF4/QOkxWsDtzMW9ueFd2K+0bSqeyZDrxa 3PVav6cV0bU33BzedULq6qVTjqfacJp9a9z8UDeczPhzB+59QYp0XYjs1j54 nggUK+tuhzs+3R3xY2PzGvPhAqUeiKRNlnVGsJHNKkw3MOxBvLhq14cMNu7o 5Bkl2/WgptZN/WEbGwLPhvQlMT1YYTub5rqRg6elAzajC3vx3YOR2zOHC+kF 5mdL5/ThePT58qYoEouvuDZWDfZBVJDW+/ohifM5cdvqpvqQsL9G5PFbEkpq TPlKiX58UJU3i+ST+NAdHBiq2Q+trOxqC/tvcLbp1D1o34+RF81NbzW+41R9 +ODqyn54c/9mF+cP4oJKTveWyAH0ObZLvqkdhGiklItrwgBsvl7TaeAMoskq 7j+/rAGsr/sWwF08BJ8tWmv3vRmAWGHmQsWwIZyb1jU34A8gPkjT5MyRYUz9 si7fa8eG1GSTc0jgMJx/sDyMmWyc97kYfitmGNoZJQ5/ebPBZPa2ZNUN41qd Pxl+lQ3t7UmeXw1HMHL/+u4rT9h4I698d8PCUbzM+ce8WJoDg8ia8q1ao9jO o006KnLwYO5Zzt5to9i848RaAY2DGzNtuseDRnHWjr2Rs5YDu17W+4TvoxAx /rK+zpGDoZyF/J8VP5DS7ChanMuBlOYVRu/6MbjX1urnreeixui2bvDWMcxd arNAh+Ai1D7ZUM16DJJ3riveM+dCNOq5+UHPMaQvfx0JOy6Ev0bcvySNIWGL pGe6HxfDXfuyP4qO4xb78un2LC5yppkF3gvGIWqWobIynwsPhZPP56uOo6Pu 93X3Yi44ltdrLNeOw6/Yvii7gouusvLv1e7jWJHLv2H2lYv6eMbfFfXjaDum KGgTI3G92GD1kfZx+NRX141LktjetHnDL+44Ku6Zqc7MJ1E175CF0e9xXLNs X9SgROLl6ahjz1dPwPjNr3nXV5IIjE7y3W8ygcO+MgaSuiTW5+cETO6YQLnG sud++iSKuVXhBi4TuK8w8FzGiESe7czDgtgJyARv1be1IuF1cm7R7vQJVB4f KTHYQ2LlDfmyH48nMD9gwz9zbEk8qFz1Qbt2Au3sI1FHDpJIXsMcyv45gWVp g8JVx0gc2uUzYS7Jw/JX1tM+XpTXx4OEpAIPmWsclZJ9SMSmxkot0+HBxWHF 43J/EjcX1q1MPcqD/ocZ4cJLJEoN1Up2efNgR7+xZziEBMfRB7PneOCV/DTM DyWxKU/edn8cDzYeMoWjESTcWlx7xDN5CD5jaHz8Jonon888iop4iMuw2fOR mqvvFofOz2/kob31whybGBIKvvnzXnTyULimO8E3jgTiRaI9Bnl46fy+8Oxd qj4y40GlOB+RIpzdRBKJN/On9Hzl+AgN+rtZJIXEiIHFC3UaH6vGVesf3idh FjL6MWATH1d2GS8qSSfhnQMHhgUfrgQ8lDJJJHy6zWmx4yOduMtgPiDxbprt fdmFj80aPNuYLBJjGutmdP34CNGf/29BNglV82sh3Rf4kDtcwS+m7gFz7475 EZF8MCV+uaTmkPCL0Y5fn8jHfVqTyelHVP4vg5eQ2XzU6hy4pJ9LopbdlHvn KR9hRi1a7RTzpeiGm6v4kOGwjN3zSNDW+L/58YmPJzvnPe2m2PJAteW9Xj5S 9QpYRvkkTl9UbrMY5cO6Wbs9hOK0LM+jU0I+vknrhzyhuKHx1VCGpAAhxO3o OoqnBQv8rRUFuOyuM6+eYroa8/dvugDh86T6iynetaU4PG+1ADcMjWihFAd6 zlU4CAGeJAuqQHFmtH2y5E4BGKcufOyn6mkqzVnx1EGA98GbCC+KZ/tmi5w9 BKhSyFDqpc7DkNxtLHtaABUVK7uNFFvrplaXhwggJdE7e57KI9iOt9frtgDm zTSZHCqvh+e3dimnCLBL/seVcirPlow4t+pcAY71bPJ4QeUtUj84dqpMgKdf lZ7dp/qhxdt0bkmNAAv0sv28qX7ZLb4p0dQqQF+C1r2lVD/zPNYs1hoXwJRx yWRHGomvt65kfP0lgJatZVkp5YP4szadUJlJKGdPP5SlfHGQOGfWz5iExD/C 4cBEEqHaDQ03107C+D8p0xuUb4U2GvZGZpPQ+HRaPpTyUTKt0ivOcRJDFVw9 /Tsk9Gv/mtriNYmWUo9LJOWz45j7pYmASRQWbrO7TPleYiITuzNmEvfX0+L+ CSfB7LR9LVY/CfqqmQqjYBJSif0nfNsnsadCpdv0HIkiB2/VXnISSYfueK05 S0KsIyygbM4U7CPY4w2+JDK+lun7Gk5BbSJzfNKZhFW8+UDPlino3TkpZnGU 8ml/S5SV9RQWCJPTrxwisfXL6CjjxBQOvXVIfk7dD2QrLbsnbQpKrWkj8luo +Y7Js7MqmIJ2uGlfEUis27dRouzVFMycBJc3bSIR1mLDjPk6Ba9lsd/+WENi RXOoqtWf03CSe1KQqE7ieNNIVGnANAy+89PieFzIRQWAETaNdReWfm4e5aJs 99wfLNY0NuVeFRV+o97VjxqWJx9P46yuV7B4Fxe5DdYSDO40+sNDb8hVcvHj w/MA1p4ZrG76FLcokgvfd1eYPgwhBl9v2btekQt1zra5k/pCfHxQs2THAi7q RP/ICSKEsBN33+QoycUyInI8/IAQnz7yTSKFHLSXxVzMiBCiaIl34NxeDjYX PEhu/1eIBmVfVddsDmQTazrMnv9E42ZTssGIg8KTMjaLLP7DHFnl5cu82Eg9 5zmkt1+EOPpYo0S6qh+XU2b38kfmEJ10fes2+z6INPcRLwPFiGdxdXFszR4s P+V21nalBOEwcOSVPasTHEGcnfSrucS0mCDvtks7dnCPn4/2lSTylUv/aDT8 gl2cKC11dSnCTDjSn2pG/ZcqmRdr8qSJJ5b/1GjFNUNHtk3N7Mh84raEqeeF kU+QgsCpi/cnoRsRDNkLTTAfdZhasm8hEfPJ1bqC0Yivb13mOGjLEmNcp7Nu iXUouVblSBPIEoG/1DYke9XCTcK/r7FRjjhKHlCIJarh7HeuRCZBnrhDnx1y c3kHXXetRisnBcIlu1Hl9tNKfJTTlvbf8Bexu0DOwUbqLV7kX07UFlMkLK2y xMMTK3Buzso99d2KRCD7/qPMw+WQ6grc7l2sRFwOCWL4Nr4A94EmKyVoEcHN W1uul1QK1gpl8dJ9yoSSocRiX+9niEpwq3aiLSZCJX4yv98qgQPrcKPMt8VE RPHAld7eJ5jekjmTUq5CNKfUrzNeXQQ21/Ts2zBV4nD59hGnigKkGa9WaXBS I5amvXjESctH3lV/WfdV6sTTpFztEzq5CNvnbCkmUCfaSvK+rJ56iLVdqQ/D GjSI28KgVxvfZiH+78S8BksacYadqnWgJxMXKiLjLUtphInog0r7/9KxU2Vf 5oelmsTh5y02djvTsNm7+qBsuCYhczRP36LzPlJUmUvrBZrErLOG1c/WZCyt zIrddXAJIafTSTKO3EPUqrcrP5cvIS6KsaQLlyXAjSf+qXYlnZAI0ukw+hEH ZuEELfwWndAI9unRl4yF12Wb2R236cSZUKVYeZFY+NsUf5G5Qyc+npHYOTkV g2sC/5tRsXQiLsS8uOpbDPI3zPyMS6ITHguvW1ytjsHMm99tDx7Rie5/I+6y wmIQ9VkmsqqaTlhkF6zn/BGDhPQTHqG1dKJLPOGlpmgM0k81mm2voxNBn/XU mEIWnipGCesa6cR1A52Tw0MsdDnIezS30okSsQnQ6llgsJXNBth0Yp3jmnuy t1jQKw5Uz+DSiWsFGieCwljYeLVzxvUbnUhWlZAausCCFSOpYHCIOq9DfHrD SRb8PGnq4+N0Inq/4oan1iwEGV2aKeLRiRVlU1aGlixcnT/QckpAJ0jTxKUv zFiIf5weMT1NJ+4KFVTqDFhIuyjuXiakE3IGA4b7V7HwaK+radAsnTiefUSB XMZC8ZL3aia/6MS7+vDHZ9RZKOctn6EePGLR6cOSMkos/A9M949z "]]}, Annotation[#, "Charting`Private`Tag$8295#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVz2s0lAkYwHEa02VMexqsa8yMl6aQ2C7SKc+zdE4J7UZSWmFy29zbZrXM phVJVlHvuCYhqVwTWqnJuiQN00pRDSVjyKVdNTNhKLv74X9+n/9sbqR74CI1 NTW3//rf/BPcxbYBqQ4//C5aFy5XQGsPy9WL9SNslUa5J00qYOGh8BSL9Qvs 0O9qLJApIL8pjUllpYC99k1fSZ8CwrbxwqeZOVAzQOkLv6eAnrkQcop5A9Im oge+JClgiWSI857ZAPTqQWanoQIKHxdETzA7gCqnqcZ3yaGyKkUSZv0Kym+W Prtw9QMEQ3fO5FEp8Bx8moa2TEGEbI20tnIMGC9f1Lx89x5o7ETOm81TEGd+ MDLm0AScWyGyKPSTQx6tLTHUdgy4kr0PKJ2foFw433FlyShEtyVyIzkqGHuw fc9mXRnciqJ76Dt/BnWGwSrzMCkUxoWO23ipoV8Vs06z9S0kFMzvUUyqo4RY 7967fxDUegbxXiwF72SJsqTs17DqWNDxvRZU9B7yvb+flMCwMmuf5v3FOENR VmQEvIRdsiO/XoheipUGDcvEdn2wezjd0sSEhk6qybeFTs9hvIV78lGFJt52 +emRZVYPWDN6jZ18l2MG1TE0frIbaKD075d/hetSTwAj/i/Y8d572tRzBQq6 A92bOGJ40Ryg7m3FwCmZ//GgPBHUnWk9xFIyMPaLsf3lsA4IovIGxWIt9Bs5 oJOJ7XD4aFwdPVcbLxLz40EBbbAu2FLs6q+DAdfFRhn1LfBEy0qTZ/81flet 5e1Ba4bGyoQ8K4ouuriWaqTkNUGcusX3nQO6GCu9UlbiIwRaf+zOiFo9TDjF 50SLG0F2jU0W8PVRVrFRaJPfAORqA40GTwPUs6MaRkfcgfTcoHZ/liGeps5x 352vA2/SR0wfNcTU2qHEN29uw8z2ktkCoRH2FHRu2mZbA1KZ4/Hm5JXoI9w5 6d9UDUXbbI26/I3RrKixbLioEiqSeIzgtSZYn19uFW5dDsmeh10oShPsravo s52+ARv7C28kdzExQ8W/v6W5FLLX5FV0ubAwRlpoeeB1CcQ3pWW7NLDQYdG1 lv2fi8HNyLPksRkbff545rHPrQi+jWg/yEhhI92vYr2z5AoUrOSadSrZOH+Y 6Tr3/DKYtZRm7j5oilrWkhGO7yVIX9ts8VRoiicppOYt81wIkmt0d1gQSOVb v9r6dxZwb31kpZwnkHki8vX6pZkQluAxvyuDwJjTepnaapnA86jto18k8EkM 1e3TtADOKHnn0jMJzDq1o7Z1VACV9rNzWfkEhqw465zULoDZPxd6r5UROPBP ag6ZLID0p/S01nYCna9Xbx5eJoDc4vCQ0x0E9mvk3mMvEkDxMbHTThGB/Kc2 xlwVCfW66SqRmMCzG6yjJsZJ6PfWDul5TmAd5SOwOkngSA2chqQEbjr0zSXG eRJsamNNrsoIPFPNDOcnk7AlSTIbOErg5ZVU2ng8Ca6c/Oqx8f9+vbOLu6JI OBrKMvnwgcALXrr29e4k8Lf+NlsjJ3D13WlXOxcSkpYPPTumJHDEMc+s0YmE 7Kri1JkZAnNUOkaiDSQUndQIvqsiUGvDkJ3XWhLK9gQ68ucJPHLdV2fEnIRa 04fGDl8IbOtMqYoxIUEoXzW7sECg/s8+S+l6JPwLrWpD2A== "]]}, Annotation[#, "Charting`Private`Tag$8295#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVVXk4VV8bJYUMhcQ5517jFUIihNxz9kspGUtJJHOSocwURTJEEbkkytSk TFc/U4kyhUSRUlJCktKAZCj57vfXft7n2Xu9e613rb3lXI9ZH1rGxcVVx83F 9f/16ilXXk33c5RP3b/0lNmT65tfyJrbyh5BvDVtJ28HOKosPa4/Iyt7HAmp VrYWDfipXH2UJLNCNgF9vLyZu7EsRsWHDPadlbmMipxyanfK56q8+OPJ+ilz Gz0R4A+LzmtQ4Xs7rPRN5h7KbfK6N876rZL/JNf/q0w7Oh3YG3c81Fq1tCzh rY96P3qjanlP5ccKtcOo+/JEwAg68+8uq/fJTbWjo+tHKkrH0QtF9F+BnNEG AbkYpUG9nyjxt5hPttbYhmSRDpV852k0vrlJOFnrtLrr270PeZ7+Rm4Kn8Vs +hQ2+rfEuB5TWkAXXnc1uj9t3ljuJ7QH27mI5ndNZ209aaeRH+79RcOWC046 x8l8+bigEZ37d/evCW44UsUnvPAqVZPrxQd4cIIH3Mu6PJy7FTYpBnmE7VVZ AexrRbb6X5o3fZy5tE+wjhfW37CvS/O21zId9Tp50Z8f4moHLNtq/2pZfkxR lZYWgCAbh7LyiGztL02uUW0lgiB2Siz2W7yGjrroK6mtTsKwca8a5irdrSOA ZlwGpleB8lShOsPUY/OOb/az8jYi0BneOXHhL7/u60Z3bns1UfDadP+N/rVC 3cqzzY6yM6JQutYq4u45Ss9jRfCHri4xOIx559tafNBzCwivFMpaA5+H3BP5 hoL1Nx5W7TJ3EYen/2UaYr0rtzwTUxMM1l8LcY5DGTpwZ0ttaXS2Go8EuOWu jJtsAYNwbpVdT99JAKYqkUoFDRsIDJwwOVohCW74u46Rt6eZm0NvC1+oloT/ MOmhgIdnmC5ir3vK7ktC+cu5NUqvYpk1JjoHJx9JglZQ4FXt/xKZHpU//IM6 JeGy5urFiJk0ZkOye/aJT5JgGjWlZ2F5kzmxPs05e1wSDvNwXdp2p5CJtTSs ezAhCZf2hJpKbS9iHv0jzV6ckoQ3jDK5zGI2k+75pjlqSRI+tdJ9m77VME14 +BPzl2FQ8lmp+GFKLTMwZ7NV4woMmLGHtWXD65lPetPe8AhhkDEf6xxf0MiU E5x0MxbDYHmNdyB/+2NmmKHl9zgMgwfMPzvVBzqYz0KLwtqkMbj5pKFjH383 U7GUn0dgHQYGWWuwiBe9zN07ddtUlDGIv+/s4crXx4z4eCjJTBUDXoU1at9C 3jALI1nWPuoYDCW+sPZWHmC+IJokkzQxELiffvGV/CDzX+XkQIk2Bqu26jZM bR5iquyWLejSxaBz08721StHmDYTlod/bMGAdu9K6nGhUWZU/Ek1EQoDL+rZ nMf2MWaxfPGkhiEGj4Y2CF95MM7sq+uv2r0NAxmf83/CgieYy+xWRgTswOD1 Hf+LAmE/mOq/dA3TTDE4m6RutMpjkml/wYO3wgIDm3Hdp4rkNDNWJb2jdxcG RyOH/oltn2GyW5pSZvZg4LM6d1EybpY54DxlI2GLAd+B71dX8iww+f/K0nTt MVitIxhp1/SXqXXJ6oPtQQz0PMzuK3UtMR03nboR5ozBQnlJ0Z10bjKxs9jr shsGHqlr7J/685BVnm833vfAQFD/uoBp1ApyiEdgpv8IBrbXK81DH/ORQrl6 9//4YNB9gPFZ11SA1NtyOJLuh0FWgJX0ajFh0u1l+jYykIPXKb4tU0yETPZr XukYgkHs82DH9hZR8r7gdNep4xiMFU3Mcd9aQ47elGPlRmBAcOm6y9auJSdi huZ5ojCYeta/8o8BRk655jt5nsHA5JV1ZSEvjZwHl5ancRgs5j86fYchTXLJ yKlqJnL0fvlbheqSJXkXP6SkJ2Hg5KL28XWdPCn8Nu/3fAoGzz/lq577pECK 33N2cGRhsP1ZYNFnSyWSuCTb2HgJgyU8n3vHv/WkXPAHJaVsDLjutUr2/lUj lffkJZ3LweAD10hc33oNUl3TefpHPgZsJRZ3NO8mUme1rN3eGxi0yy1PXEto k8xvg/U1hRi8ujkUOOq1mTTqyFWQKsYgh/fw1aUlPXLnbafE02UYHDOOnTAc MiB3xcv8HL2Lwfuix8YBkoi0PTRoY1qFgVL5rwK1fYak49bc2tJ7HD3vdfL5 2Wwl3eWc5NbUYWBmINqcecGY9F6Sjg99hMG+vZIVxwRNyIB37yfeNmHQ4DXU FvvclAyrzbGGVgwsrZPFzcYsyMjLjjXXn3DqSCPEKt5FxoVKS6/swkD/QPdm y0xrMsnm/Rnfbo4+JwadSh7sJVlaOePdvRhYiU7r6snaklmijlabX3P8hk0V 6TyxI/N/SFVmvcUgZJfU1qZGB7Kw8x2x9J7jr20fv4asdCZLi65GuQ1jEJx5 geUx7EJWJhz81DqKwffYOfPuSTfywWEpc7VxDLB+ybpF0oNsMn5XnjLB8Xtj a/7XTk/yCeOq5MwPDE65jkgfue1NPuc+eNJuGoPdx5XjVN4cJfsG6SN1vzFI rrzuG6DlT76vGzCRX+DkcX7hbqV6IPkx+0pp3CJH37BZG0/3YPLrcQfxr1w4 KNA7s43fhpJTtvQTVstxyO1MtniWdYKc1xkY/I8Ph6c7wzLci06SXOJXjDFB HBZnLBo3nIsieacOFEWswsHlWc+DVYHRpPBzmuiQKA6Na1T9GWkxpHjp2xDj tThggXdMRyfjSOJ89sBtDIfl7ecKzmckkHJeB4xW0XEQCo6pV0w4Tyqb0AoD ZHBo9py1Le25QG5UfCvcJ4/DLTEIT6tPJTcvzw40UMShqIBV8649jWQO27/J XY+DR8fV+WOiGeTWRwRavgEHRjbjt8GVTNI0p/+6pwYO21ZFbOQKyCZ3RWQJ dGrhsHuyI94pO4e0tbf309TFQaf9ZNuiSD7pqEe8St+Cg8P7hkkT/mvkIYl+ gwUSh6rT+t7J+jdIn1+X8x0NOfjhqv/Ci26RAT12fE3bcNCWwrxiDt0hj7Nx XyUTHKIMtNb+PlZCRiW/6TlnhoM0/k9NwItNxvlc1vtpicNH05hB3PIumWRq l7PXGoeHrPDqiSMVJEsZX37PBgeRN1rKP5qqSAdHxVsj+3H4dD/80l7te6QC S8t0lQMOjgOS+bljteREO3zTc+L0c3sh/udjPVmxZJHi5opDYZydqirRQEbo HNBKPoTDyqNWuuSPRnKbt+erGk8cbpa/KU753UwK5QcfH/Hm9FO88C1ep5Xs fRVNX3UMh+cpsfz43XbyilDKQ70AHCTc68+/C3hKuhtddXULxmG17Vlhhchn pFrYnRXJYTgIS95pOn2sm/xVUl1YE44DD93Ap8biBflgpNls5BQOAhOeW1Wd XpIxeM934Wgc1Jubztre7iPNrQZT9WJx2KcIArs39ZNrYie03c7i8O1hhnEP 1zuy//58X9I5HMpM+eSVVn0gC37yhtck49D9XlAj+vEQ6aUoLj2SioNrfKa4 YOkIuclBrkE4neMnEn/+rH2UXEhVd9fLxIGrUIn3iMxnsrHVgM8tG4fhvzyv +Su/kImLJneScnDwXfLfdy71G2mttc+iJh+Hkz+sDmxz/EkSR9x+Dl/H4dWQ dp22zBQ5nOOXJlyIQz2jzpkS+UXe6T25Wa8IB9M6w8izm3+TAQLn3riW4hBv K3a79dIcuQUyI5LKcaicE/xivuUPuSzkhkxNBQ7e92KSJNb9I58U3W0crsZh Ym6F7WQZF3Vx6OEh4VocfnvJDeUfX0bZS3by69XjELm/uPRA0HJK3qK/yLUB B6u5x2VON3ipL9FjlknNOFy593TilNhK6m7Nr8nqVo5e10/8Xt8oSJ34zp0+ /AQHO8aZxdO1qygjhdV6wl2cPDuEDOrwiFIC9vS3ut04HK+9b9DzUozqubD+ lGsvx99kR6JPvziV1bJZLqmPw59nYNpJQpJy/bO1ubofh6Ucp9isCzilorn7 8PA7HI7O6UwVm9OpKQ9HAeEhHEKDE/693StD3b/iXaL7EYcuSYtRfL8cFd0T tst1jHP+hc2lLi0GZcofN33+C0fvIVf2CaN1lCiVllH9DYfgA3GirAQl6nVg nv7wTxxEz0s4K65WofJulwwI/cIBRR4SHXmjRnkO3o/UncXB6b8Uda3JjZTG 2jZ51wUcdrW1Rt4o1aTmTF+2nF/EYYbs/5ybpkU9ihr2rOYi4KhE1cqUYh3q bNUPwWEeAjIFrizjW9Kldk38LRXiI0Dr5cFr6qlbKExewFpXgICainWtb46Q 1AdbyRkXYQKejgXpmZkAVZikkHlehIC9RZYTH3iNKL8mTYPqNQRUvFS1sprZ SunNU++HJAj4VqdeVoVtp7g2mp8WIghgjF+bbgoxodrc7RR0pQh4Im9Y8nCt GZWS5dHqIkvAFbVzTTl/LajQkOjACAYB9f42ovypuyhH6xyZS4oEeDJyn3Nb WlPG6vc7ytcTYODflVKkv5dSE3gV+lSNAPrVYNuv+/dRaz5NMsY2EhA9tqxO pXw/tdAg/JxbiwDj+o777iYHqOGr6yPomwkg9Ee+aq9zpNqPGyvr6hOw61K3 VtAtZ4pt49K7m0mAk3iARpuHK5WpeTLKBxHwPLDcQdDGnYoUvqwWb0QA7ecn R5VQD8pjvOJ1vjEB/HsN5DN6PCmLlucxD0wI8NV3qN7t601p509o9JkRwHr1 /Ta35VGKdpL/3aQlAUbz38P+1flRy+wUEoSsCZANH3hZFhlAjWuDjpINATfN J0cu+AVRz0Uchgz3E1Aye2sqNT2EqpkITXI4QEDpfyI71X+FUbltafqhjgRY 2lC438VwKu562WiqCwESyzy/LA89RR2N6kgtdieAWRH//GZvFGXjMEa2HiaA jLUorMmMpph6PF+GvAho3avJo38+hmKIy2T89SUg2yRrSK4ijhL4ucVI0p+A g5Yz36fWJlCTHfu+awYRgOJH4x9Wn6Ne3wrIMg8lIKlHSp/KS6YenknefvgE AVHhWj98vqZQN53uTJ0+ScB/gXXbh8svUskGj3OuRBHwcSKM4i1kUcGSw6bV ZwiIjNzO+TkyKIfpxd/dcQSs6/1gPqJ7mdr2DL82kUDAKo0n/OhdNqVapGPF l0RAnsSLA8XtOZRY/O4/cikE1M6Fiuxalk/Nu/reYqYR8KFe+oFqRwH1gUrY Y5tBwHjNK/ffTdepVuLGkv9lAgL7fp2snrxJlf5+VHT+CgGpj82TFu1uU+k9 A7a3cglYubVi38SyYiqidI6nsYAzr3s8MebTpZR7ojh74AYBUq0PwizxcsrM Q8NhtpDDv23n6MWPd6lNRub8YsUEBMjz9/J+qKAIac8KtTICXG/6B9SIVFPc C2ecd9wlIN+q5S4ZcY/6/DJXyLWSgKX0yoRG5QfUs/LamogaDj/fg3cwqYdU VVKf+6VaAi7uMA5y12igrh6ZFrlbT4C+cdfmNf8aqRjj1XVPGwh4FOszp/m3 mfKWUz0y1kyAu/Bl1suNrZT14va1y9oIUB5fbZ+d005teePaQO8gIJev0q7a 8iklV3nKV7eLAM3HVjrLdzyj+FOzcOtuAs7MMswSd3RTP32qWnx6CYBOJ+Y1 yRdUn0mPf3wfAYItyygf7CVVr/BdqqCfAG5pg2ouqz7qBpfAkwfvOPloM1Re 0fCGOj+wLqTvAwEizZ5nK4MGqMAaQ/mpEQKGorB1M36DlD3rYJfQGMcfgr/E 2Y5DFP0/AZr3FwIWEnJN1hwYoQa7qw+3f+PU5U4yrNRRquCne4XSJOd9+pz5 4hX/Z8p9tRh33C9OnjOudRm2faEU1R9afJwlYI99d9ea19+ocXOfLKM/BIi5 qu2sz/tJFXvjY3n/CDjxlE/ZIX6KOpr4WGuJmwbBPJFKl278ojRuB0YdXEGD a74+4e3cs9R0q2xnLT8NRnyr3vNem6eqPnXihBANxNavZGum/qXCVoR7hK2m gasIM0Ds5RK1RUH5v1diNPjhe2hB7wE3WjR6uaQtQQPNvdJ6tCYe9Mgl2jwN p4HX0rYZwxW8KDpq4+VJOg0+b7CU9UvgR9tyB0atZGlQsnfu6gZbQcRXn7Cp lEEDj8F1ae9CVqEnA5sjhZRoYB9rm/F1TgSd/zPS4aVCg4kRy3QYF0OWRCrW voEGaw6UkXpia5GoPnVISZMG5gfTpIxPSKJe26/lsdo04DITvc9SJlBGSOa/ EV0aVEhHRSusk0L7043NjAxosEUZ4n2YsohWMXUpj6JBzo+Hkx0S8uh9T+7H f4ac8ynfuDcpKaC8SXPNg8Ycvi4VrfWBishVZOFkrQkNJIxTXIx41iOFjbee 4OY06Ip4bLPrnSr6ZLFXMsyKBgY+7yf3CmxEt3243V9Z0+CCv5jfq52ayOdc KVt7Hw1e3/x4cdBQC6nfObB40Y4GQWcsBoUCddDPNn7TSQcaYHyVcW0juuju WGWGlTMNiLxiNc3sLSiI122kxI0G7b3ObWr5JNJdJ6IhdJgGDga7C6hIQAtb 6yK8vGjgiU5EeDsaoQeuXu1tvjRYqdCYEBG4DZ06LSmh5E8D/zNzPO7N25Fh XrNrbBANnD4H8lfa7kTLH/qXjYTSIOqlxuhdbXP0+J30X8NwGrw0yDzm4maF zv7tMMk7RQNnjeANZiG7kRntePq/0zTIsHGrW+G7B63aojjsEMu5/yPxcb1s G/R8/wv12rM0SNThzmvk3Y8uhkaF4+dpIKPQt1Wkyh7ZZGxoC71Ag+Z3FqXK 7IMIq+wXf3WRBvGfFZfsTzmj/hfxLtoZNEgWeOnHZ+2Krkxpl168TINHstdO 5dq6IyfR4YWfVzjzT0hb4mV5IHmNCzus8mjQEmjmES10BH20ZLJKrtHAT11f tOaxN7rpO/5B8BaHD/Puj7K2o+jI+YwNXndo8C9ANMZTyB+pFW090VZCg4dr BjZ8fx+Avrf/fKxYToNiwQrTgMEgxP58dU1sBQ1qD6tP54mGokA+M+eRahq8 0WdWwvHjaLPiXLFhLQd/fVG1EhGB5rbdmM+tp0EIfz+X+twpFFGbe6a5geOP LS3SD39EIa5NWcLjzTSIW/X2LeN0NIopZF0SbqPBoK5aRZFmDOKTuSC3qYMG qQ8v6OQsi0OJ6QlF+7pooDAbl4PPxKNVQjE64d2c+af1FvAJJCKJ+bCdzX2c /P1rUmNdTUZZxwJffO6ngd2Npu6dySlI6pPvQeH3NOhtXy+6fzAVKbxw9d/3 kQYWb6yvm1SwkFaJ+eXPP2nwe+vnKNnV2aiKsYMh/IsGfdT0uFPjFbQly7BE c5YGM4d+V5uczEFG8ZsbTizSoCq5symTKx/tcpEdFxKgg/K6F/IBkddRbx8R qClMh5O/uK8i2xtov+XaRRsROmyYP5pau/4mcjIQEM2VoAMtvlxEqfYWGi5f nt2E0yHIP8KeFVaIPJSXFD7T6aBlqe1XtuE2Orr2l54mgw70xDvG5ifvoKlz 3xttFDn7w6r2m0kWoeBl4+Yn1tMhemr0wI9bRWgubORVjhodHrV4NDM3FqOI H++cmzbSwZJ/SdiqpBhxebz+MraJDoSmfK6NfAmKGegJEtpMhxqJt7kpySXo XHvrWRsmHVyaJkdHLUrRKmgUO4HocNhv/8Z7+aXoYtWDKzlGdHiedbR2w/dS JLGhWrHJmA5fvk69LtYqQ1nXytljJnQYvOVrmB9QhqSJ4i1C5hz+31xPBReV ofyUm80aVnT4tMkr/eL7MqTAl29pY00H50GB8I28bFR4Mvv1cRs6LFIN3TkE G6n9SnfN2U+HuDO+7Y/V2IjtlTLReIAO2/3ns3uZbKQ9lBgy5kiHntRr9GlT Nqq2jeUScqVDzof4AlNbNtrSFZmocYgOF51bubhd2ah+2wlxG086nOkvS9D3 ZiOj2qCc4950CKlOI9YGstFjzWPKOUc5epO71O8eZyPTwiN3G/05eK4dv9Qi 2ahT2p05FkSHz7xzvrln2GhXuuNjwTA6tB9Rj5eLZ6NeQbtdGuF0yPr4Xr89 gY32R+/p33uKDs0/Xt65c46NBuYs3I+fpsOujoCdr8+zkfMxk+9XY+hQIb7v u2sSG42MGoU1xtNhb4vqvB2nNsrtKlA5R4dhwr7lHmd/3n77zovJdEh70Pvw PAdvSfTT7EIqHZh+WrFDnH6OHf7ybul0WLu427CFc5+6mEXzjkw6MC58er41 lo3oVEKo1hU66Ftf/nA4mo3CZ8ULsnPpsG13yUoDDr9+dt5Tnmt0CAuwnmgJ ZyN9L7VZ75t0CK6q2yESxkaZjBq53tt02K2vLCIXxEb7Mp6FXGfTofv0Lr1S jp494f9kjevpYFNkF8Vlx0aaOolmJQ106LvrJSW8l41Svq8NWdvC8V+04lYe KzaydNnQMdpBhwYXd6pqGxs92e4QHPeGDmIlgd3HNrJRo+j99tZfdPDPGUh0 52EjuQ7jXxvn6LDmikF3/p8yFBXTLZ35hw6ZoQ6BIT/LEDX7OdBzmRQIK/i2 SfSXofsDktIrRaRAIeBp9vaSMnT3VnCAqaoUtO1PONi2pwwVkJq0ThcpYAdf Kn5eUIpKYoNFD2+Qhhte/oq+6sUo3sbNjGdGGgZOFfVpzt5GOgP5t+M7ZUBq IaJuS+MtlLk+u6TTTBZCR/JV7d7fQJGPkjLN7skCtexm0/7Fa8iCZnPjiYIc HKzp3bPPogAZHm09IJogB0LOJVo73+ahXLqrwtMZOfjrJmP+52UOUmi6lWF5 QB7E1N9+UnK6glI2NKr01MtDFA9LsHxdFvKYXt7drsKAFRHq/czvl5Br+ZRs wgUGyJw69l6LPwP5RO/5a5rKgNA4yYw1XBkoeE9Fn1AaA56FrrD4PZuOzs4E J6dkMODSmR0VzWPpqFR//s+lqwzwFEncGduajuYbll7dLGLAux/nLrPi01FK j1BScysDdhay9T6uTOfk29czrp0BA8uzHsgtS0fXgrq2mnQwIKJHQ8p1gYWq JFIWOroYkKit7vf1CwsN2K/xfPGSAZU8U0j2KQspjeBbh0cYsNlx0xXRCyyk UXFC+vooA86yZXwj4lloS+zb+UNjDMihrxD4EslC5kpX2eNfOHztM691+rFQ gLes9OQkAy7aSuhXWbNQBPP0/N1pBijfnzXXNWOhWOHh3qAZBnwyylao3cpC mWXXzs3NMeDygjitQ5uFCqKWH76/wAAx7WFd2w0sVLT7kFHEXwZ4FTqJf1rH QhXyj6WofwxoeZpQFirNQvXTivNLSwzAQg7yC0my0P8AI95Dnw== "]]}, Annotation[#, "Charting`Private`Tag$8295#3"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVVXk4VV8bJYUMhcQ5517jFUIihNxz9kspmVMSyXBJMlRmRZEMUUQuiSKN ynT1M5UoU8hQpJSUkEppMBVKvvv9tZ/3efZe717rXWtvBdZhu/1LeHh4anl5 eP6/Xj7B4tf2PEPxBBTvFcG/qjU9l7d0kD+IMnMXs97OfVNbfFx3Sl7+KBLG VnaHs3+qXX6ULLdMPhE1tiwXXmI+reZHhvj/lruI5o1+jL11/6f2/I83+6fc bSRpm5RjKSiuLvBmWOWb3D2Ef/fnOB3UU89/khfwVa4N/d3Q1yr/NVq9pDTx jZ9mPxrPv7lTU0tR4wDqvjgeOILI4eZtQxnVGodG146Ul4wh1TkjHzsjq3VC CrEqgwY/kb3g3Cga/7YuRaxdLd9tCsXXESYVxqc0WW92PeTr+IVmM9qn8nev WR/QHMs6rDKPzr3qavDsaFpfdkRkJ7Z9Ac3ZTmVvPu6olR/h+0XLgQeOu8XL ffkwrxWT93fH9DgvHKwUEJ1/mabN8/w9PDjGB56lXV5u3UoblIO9wnepLQPO tUIHwy9NGz7MXNgtXMsPa2841ab7OumYj/ocPx8gCPE1A9atNX91rD+kqsvK CkGwvXNpWWSO7pdGVnRrsTBInJCI+5agpacp/lJms6sorN+lgbFku/WE0Iz7 wNQKUJ0s0GSYe23c9s3pt6K9GHRGdI6f+yuo/6rBk9dJQxx8Ntx/bXitQL/i dJOL/Iw4lKy2ibx7hjLwWhbyvqtLAg5gvvkOVu8NPAIjKkSyV8HnIc8kgaEQ w/UH1Lss3SWh478sY6x3+aanEhrCIYarId5lKFMP7myqKYnJ0eCTAo+85fET zWAUwatm2/FWCjB1qTQqeNhIaOCY2aFyafDA37aPvDnJ3Bh2W/RclTT8h8kO BT48xXSXeNVTel8ayl7MrlJ5GcesNtPbN/FIGnSCgy7r/pfE9Kr4ERDcKQ0X tVcuRM6kM+tTPHOOfZQG8+hJAyvrm8zxteluOWPScICP58KWOwVMrLl+zYNx abiwM8xcZmsh89AfWc7CpDS8ZpQqZBVxmHTv103Ri9LwsYXu3/itmmnGJ5iU vwSD4s8qRQ9Ta5hBuRttGpZhwIw7oCsfUcd80pv+mk8Eg8y5OLeEqw1MBeEJ D1MJDJZW+wYJtj1mhhtbf4/HMHjA/LNdc6Cd+TSsMLxVFoObT+rbdwt2M5VL BPmE1mBglL0Ki3zey9yxXb9VTRWDhPtuXiyBPmbkh/3JFuoY8Cut0vgW+ppZ EMW289PEYCjpuZ2v6gDzOdEonayNgdD9jPMvFQeZ/yomBop1MVixWb9+cuMQ U22H/NUufQw6N2xvW7l8hGk/bn3gxyYMaPcupR0VGWVGJxzXEKMw8KGeznpt /cQsUiya0DLG4NHQOtFLD8aYfbX9lTu2YCDnd/ZPeMg4c4nj8sjAbRi8uhNw Xij8B1NzWt843RyD08maJiu8JphO57z4y60wsB/T71Amp5hxahntvbYYHIoa +iexdYbJaW5MndmJgd/KvAXp+N/MAbdJeykHDAT2fr+8nG+eKfhXnqbvhMFK PeEox8a/TJ0LNu8d9mFg4GVxX6Vrkemy4cSNcDcM5suKC+9k8JJJnUU+Fz0w 8Epb5dQRwEdWer9Zf98LA2HD60Lm0cvIIT6hmf6DGDhcr7AMeyxAiuQZ3P/j h0H3XsZnfXMh0mDTgSj6EQyyA21kV0qIkh4vMraQQVy8TsktWRJiZMqRpuUu oRjEPQtxaWsWJ+8LT3WdOIrBp8LxWd5bq8jRmwrsvEgMCB59T/ma1eR47NAc XzQGk0/7l/8xwshJVr6r9ykMzF7aVRTw08g5cG/uiMdgIf/RyTsMWZJHTkFd O4mr94tfalSXPMm/8D41IxkDV3eND69qFUnRN1d+zaVi8OxjvvqZj0qk5D03 Zxc2BlufBhV+tlYhiQvyDQ0XMFjE83m3/VtLKoS8V1HJwYDnXot0718NUnXn leQzuRi85xmJ71urRWpqu039yMeAo8LmjeHfQOqtlHfcdQODNoWlSasJXZL5 bbCuugCDlzeHgkZ9NpIm7XlKMkUY5PIfuLy4aEBuv+2adLIUg8OmcePGQ0ak bYLcz9G7GLwrfGwaKI1Ih/2D9uaVGKiUTV/V2G1MumzOqym5x9XzXqfAEfvN pKeCq8KqWgwsjMSbss6Zkr6LsglhjzDYvUu6/LCwGRn49t34m0YM6n2GWuOe mZPhNbl20IKBtV2KpMUnKzLqokv19SfcOsoEsYtsyfgwWdnlXRgY7u3eaJ1l Rybbvzvl383V59iga/GDXSRbJ3esuxcDG/EpfQN5BzJb3MVm4yuu37DJQr0n jmT+D5mK7DcYhNrKbG5scCYLOt8Si++4/try4WvocjeypPBytMcwBiFZ59he w+5kReK+jy2jGHyPm7XsnvAgHxyQsdQYwwDrl65dIL3IRtO3ZanjXL83tOR/ 7fQmnzAuS8/8wOAEa0T24G1f8hnvvuOOUxjsOKoar/b6ENk3SB+p/YVBSsV1 /0CdAPJd7YCZ4jw3j3Pzdys0g8gPOZdK4he4+ob/tvf2DCG/HnWW/MqDgxK9 M8f0TRg56UA/ZrMUh7zOFKun2cfIOb2Bwf8EcOjYHp7pWXic5JG8ZIoJ47Aw Y9Ww7kw0yT+5tzByBQ7uT3serAiKIUWf0cSHxHFoWKUewEiPJSVL3oSarsYB C7pjPjoRTxJncwZuYzgsbTtz9WxmIqngs9dkBR0HkZDYOuXEs6SqGa0gUA6H Ju/fDiU958j1ym9E+xRxuCUBEel1aeTGpTlBRso4FF5lV79tSyeZw06v89bi 4NV+ee6weCa5+RGBlq7DgZHD+GV0KYs0z+2/7q2Fw5YVket5AnNI28hsoU4d HHZMtCe45uSSDk5OR7T1cdBrO966IJZPuhgQLzM24eD8rn7CTPAauV+q32ie xKHypKFviuEN0m/6Yr6LMRc/Qv1fROEtMrDHUaBxCw66MphP7P475FEO7q9i hkO0kc7qX4eLyeiU1z1nLHCQxf9pCPlwyHi/iwY/rXH4YB47iFvfJZPNHXN3 2eHwkB1RNX6wnGSr4kvv2eMg9lpH9UdjJensonxrZA8OH+9HXNile49UYuuY r3DGwWVAOj/vUw053gbfDFy5/TyeS/75UEeWL1qlerBwKIh3VFcn6slIvb06 KftxWH7IRp/80UBu8fV+We2Nw82y10Wpv5pIkfyQoyO+3H7K574l6LWQvS9j 6CsO4/AsNU4Qv9tGXhJJfWgQiIOUZ93Zt4EdpKfJZZZHCA4rHU6LKkU9JTXC 7yxLCcdBVPpO48nD3eR0cVVBdQQOfHQjv2qr5+SDkSaLkRM4CI17b1Z3fUHG 4j3fRWNw0GxqPO1wu4+0tBlMM4jDYbcyCO3Y0E+uihvX9TiNw7eHmaY9PG/J /vtzfclncCg1F1BUWfGevPqTP6I6BYfud8JaMY+HSB9lSdmRNBxYCVmSwiUj 5AZnhXrRDK6fSPzZ07ZRcj5N09MgCweeAhX+g3KfyYYWIwGPHByG//K9Eqz4 QiYtmN1JzsXBfzFg95m0b6Sdzm6r6nwcjv+w2bvF5SdJHPT4OXwdh5dDurW6 cpPkcO6RdNECHOoYtW6U2DR5p/f4RoNCHMxrjaNOb/xFBgqdec0qwSHBQeJ2 y4VZchNkRSaX4VAxK/zFctMfcknoDbnqchx878UmS635Rz4pvNswXIXD+Owy h4lSHur80MP9ojU4/PJRGMo/uoRyku4UNKjDIWpPUcne4KWUolV/IaseB5vZ x6WuN/ipLzGfrJObcLh0r2P8hMRy6m719ERVC1ev68d+rW0Qpo59580YfoKD I+PUwsmaFZSJ0koD0S5unp1DB/X4xCkhJ/ob/W4cjtbcN+p5IUH1nFt7gtXL 9TfZnuTXL0llN29USO7j8ucbmHKVkqZYfzY3VfXjsJjrGpd9DqfUtHccGH6L w6FZvckiSzo16eUiJDqEQ1hI4r83u+So+5d8i/U/4NAlbTWK71GgYnrCbVmf uOef21/o0mFQ5oLxU2e/cPUeYnGOmayhxKn0zKpvOITsjRdnJ6pQr4KuGA7/ xEH8rJSb8ko16srt4gGRaRxQ1H7xkdcalPfg/Sj93zi4/peqqTOxntJa3arI msfBtrUl6kaJNjVr/qL57AIOM2T/57x0HepR9LB3FQ8Bh6Qql6cW6VGnK38I D/MRkCV0aYnAoj5lO/63RESAAJ0X+65ppm2iMEUhO30hAqrL17S8PkhS7x2k Z9xFCej4FGxgYQZUQbJS1lkxAnYVWo+/5zehjjRqG1WtIqD8hbqNzcxmymCO ejckRcC3Ws3SSmwrxbPe8qQIQQBj7NpUY6gZ1erpqKQvQ8ATRePih6stqNRs rxZ3eQIuaZxpzP1rRYWFxgRFMgioC7AXF0yzpVzscuUuKBPgzch7xmttR5lq 3m8vW0uAUUBXaqHhLkpD6GVYhwYB9MshDl/37KZWfZxgfFpPQMynJbVqZXuo +XrRZ7w6BJjWtd/3NNtLDV9eG0nfSABhOPJVd40L1XbUVFXfkADbC906wbfc KI69e+8OJgGukoFarV4sKkv7eLQfIuBZUJmzsL0nFSV6USPBhADaz48uamFe lNdY+at8UwIEdxkpZvZ4U1bNz2IfmBHgb+hctcPfl9LNH9fqsyCA/fL7bV7r QxTtuODbCWsCTOa+h/+rPUItcVRKFLEjQD5i4EVpVCA1pgt6KvYE3LScGDl3 JJh6JuY8ZLyHgOLftybTMkKp6vGwZOe9BJT8J7ZdczqcymtNNwxzIcDansKP nI+g4q+Xjqa5EyC1xPvL0rAT1KHo9rQiTwKY5QnPbvZGU/bOn8iWAwSQcVYF 1VkxFNOA78uQDwEtu7T5DM/GUgxJucy//gTkmGUPKZTHU0I/N5lIBxCwz3rm ++TqRGqiffd37WACUMJowsOqM9SrW4HZlmEEJPfIGFJXUqiHp1K2HjhGQHSE zg+/r6nUTdc7kyePE/BfUO3W4bLzVIrR49xL0QR8GA+n+AvYVIj0sHnVKQKi orZyf45Mynlq4Vd3PAFret9bjuhfpLY8xa+NJxKwQuuJIHqbQ6kX6tkIJBNw Rer53qK2XEoiYccfhVQCambDxGyX5FNzLP9bzHQC3tfJPlBvv0q9pxJ3OmQS MFb90vNX43WqhbixGHCRgKC+6eNVEzepkl+PCs9eIiDtsWXyguNtKqNnwOFW HgHLN5fvHl9SREWWzPI1XOXO6x5frOVUCeWZJMkZuEGATMuDcGu8jLLw0nL+ XcDl37p99PyHu9QGE0tBiSICAhUFe/nfl1OErHe5RikBrJsBgdViVRTv/Cm3 bXcJyLdpvktG3qM+v8gTYVUQsJhRkdig+oB6WlZTHVnN5ee/7w4m85CqTO7z vFBDwPltpsGeWvXU5YNTYnfrCDA07dq46l8DFWu6srajnoBHcX6z2n+bKF8F 9YOfmgjwFL3IfrG+hbJb2Lp6SSsBqmMrnXJy26hNr1n19HYC8gQqHKusOyiF ihP++l0EaD+20Vu67SklmJaN23UTcOo3wyJpWzf106+y2a+XAOh0ZV6Tfk71 mfUEJPQRINy8hPLDXlB1St9lrvYTwCtrVMVj00fd4BF68uAtNx+txqrL6l9T ZwfWhPa9J0Csyft0RfAAFVRtrDg5QsBQNLZm5sgg5cTe1yXyiesP4WlJjssQ Rf9PiOb7hYD5xDyzVXtHqMHuqgNt37h1mascO22UuvrTs1xlgvs+fc56/lLw M+W5UoI3fpqb58xrXcatXyhlzYdWH34TsNOpu2vVq2/UmKVftskfAiRYGtvr rvykinzxT1f+EXCsQ0DVOWGSOpT0WGeRlwYhfFEqF25MU1q3g6L3LaPBNX+/ iDbe39RUi3xnjSANRvwr3/Ffm6MqP3bihAgNJNYu52in/aXCl0V4ha+kAUuM GSjxYpHapKT630sJGvzw3z9v8IAXLZi8WNSVooH2LlkDWiMfeuQeY5mO08Bn ccuM8TJ+FBO9/uIEnQaf11nLH0kURFvyBkZt5GlQvGv28joHYSRQl7ihhEED r8E16W9DV6AnAxujRFRo4BTnkPl1Vgyd/TPS7qNGg/ER6wwYk0DWRBrWto4G q/aWkgYSq5G4IbVfRZsGlvvSZUyPSaNeh69lcbo04LEQv89WJVBmaNa/EX0a lMtGxyitkUF7MkwtTIxosEkVEvyY8ohWPnnhCkWD3B8PJ9qlFNG7nrwP/4y5 51O/8W5QUUJXJiy195ly+bqXt9QFKSOW2PzxGjMaSJmmupvwrUVK6289wS1p 0BX52N72rTr6aLVLOtyGBkZ+7yZ2Ca1Ht/14PV/a0eBcgMSRl9u1kd+ZEo7u bhq8uvnh/KCxDtK8s3fhvCMNgk9ZDYoE6aGfrYLmE840wAQq4ltH9NHdTxWZ Nm40IK4UaWjnbELB/B4jxR40aOt1a9XIJ5H+GjEtkQM0cDbacZWKAjS/uTbS x4cG3uhYpK+LCXrA8mlr9afBcqWGxMigLejESWkplQAaBJya5fNs2oqMrzSx 4oJp4Po5SLDCYTta+jCgdCSMBtEvtEbv6lqix29l/xpH0OCFUdZhdw8bdPpv u9mVEzRw0wpZZxG6A1nQjmb8O0mDTHuP2mX+O9GKTcrDznHc+z+SHDPIsUfP 9jzXrDlNgyQ93isN/HvQ+bDoCPwsDeSU+jaLVToh+8x1rWHnaND01qpElbMP YRX9ki/P0yDhs/Ki0wk31P88wV03kwYpQi+OCNix0KVJ3ZLzF2nwSP7aiTwH T+QqPjz/8xJ3/onpi/xsL6SodW6bzRUaNAdZeMWIHEQfrJns4ms0OKJpKF79 2Bfd9B97L3yLy4d590dp6yF08GzmOp87NPgXKB7rLRKANAo3H2stpsHDVQPr vr8LRN/bfj5WLqNBkXC5eeBgMOJ8vrwqrpwGNQc0p66Ih6EgAQu3kSoavDZk VsDRo2ij8myRcQ0Xf21hlQoRiWa33JjLq6NBqGA/j+bsCRRZk3eqqZ7rj03N sg9/RCOeDdmiY000iF/x5g3jZAyKLWBfEG2lwaC+RnmhdiwSkDunsKGdBmkP z+nlLolHSRmJhbu7aKD0Oz4Xn0lAK0Ri9SK6ufNP770qIJSEpObCtzf1cfP3 r1GDfTkFZR8Oev65nwaONxq7t6ekIpmP/vtE39Ggt22t+J7BNKT0nBWw+wMN rF7bXTcrZyOdYsuLn3/S4Nfmz9HyK3NQJWMbQ3SaBn3U1JhrwyW0Kdu4WPs3 DWb2/6oyO56LTBI21h9boEFlSmdjFk8+snWXHxMRooPqmueKgVHXUW8fEaQt Sofj07yXkcMNtMd69YK9GB3WzR1Kq1l7E7kaCYnnSdGBllAmplJzCw2XLc1p xOkQHBDpxA4vQF6qi0qf6XTQsdY9UrruNjq0etpAm0EHetIdU8vjd9Dkme8N 9src/eGVeyykC1HIkjHLY2vpEDM5uvfHrUI0Gz7yMleDDo+avZqY64tQ5I+3 bo3r6WAtuChqU1yEeLxeffm0gQ6EtmKevWIxih3oCRbZSIdqqTd5qSnF6Exb y2l7Jh3cGydGR61K0ApokDiG6HDgyJ719/JL0PnKB5dyTejwLPtQzbrvJUhq XZVyoykdvnydfFWkU4qyr5VxPpnRYfCWv3F+YCmSJYo2iVhy+X9jnQgpLEX5 qTebtGzo8HGDT8b5d6VISSDf2t6ODm6DQhHr+Tmo4HjOq6P2dFig6rtzCQ7S mM5g5e6hQ/wp/7bHGhzE8Ukdb9hLh60Bczm9TA7SHUoK/eRCh560a/Qpcw6q cojjEWHRIfd9wlVzBw7a1BWVpLWfDufdWnh4WRxUt+WYpL03HU71lyYa+nKQ SU1w7lFfOoRWpROrgzjosfZh1dxDXL1JW827RznIvODg3YYALh6rfVojioM6 ZT2Zn4Lp8Jl/1j/vFAfZZrg8Fg6nQ9tBzQSFBA7qFXa01YqgQ/aHd4ZtiRy0 J2Zn/64TdGj68eLOnTMcNDBr5Xn0JB1s2wO3vzrLQW6Hzb5fjqVDueTu76xk DhoZNQlvSKDDrmb1OUdubZLXdVXtDB2GCafme9z9V/Y4dZ5PoUP6g96HZ7l4 i+Iff8+n0YF5RCduiNvPpT1A0SODDqsXdhg3c+9TG7tg2Z5FB8a5j882x3EQ nUoM07lEB0O7i+8PxHBQxG/Jqzl5dNiyo3i5EZdfP+dKB981OoQH2o03R3CQ oY/Gb9+bdAiprN0mFs5BWYxqhd7bdNhhqCqmEMxBuzOfhl7n0KH7pK1BCVfP noh/8qZ1dLAvdIzmceQgbb0ki+J6OvTd9ZER3cVBqd9Xh65u5vovRnkznw0H Wbuvax9tp0O9uydVuYWDnmx1Dol/TQeJ4qDuw+s5qEH8flvLNB0CcgeSPPk4 SKHddHr9LB1WXTLqzv9TiqJju2Wz/tAhK8w5KPRnKaJ+fw7yXiIDokr+rVL9 pej+gLTscjEZUArsyNlaXIru3goJNFeXgdY9iftad5aiq6Q2rdNdBjghF4qe XS1BxXEh4gfWycINnwBlf80ilGDvYcE3IwsDJwr7tH/fRnoD+bcTOuVAZj6y dlPDLZS1Nqe400Iewkby1R3f3UBRj5KzLO7JA7XkZuOehWvIimZ/44mSAuyr 7t252+oqMj7Uslc8UQFE3Ip1tr+5gvLoLKWOGQX46yFn+edFLlJqvJVpvVcR JDTffFRxvYRS1zWo9dQpQjQfW7hsTTbymlra3abGgGWRmv3M7xcQq2xSPvEc A+ROHH6nI5iJ/GJ2/jVPY0BYvHTmKp5MFLKzvE8knQFPw5ZZ/fqdgU7PhKSk ZjLgwqlt5U2fMlCJ4dyfC5cZ4C2WtD2uJQPN1S++vFnIgLc/zlxkJ2Sg1B6R 5KYWBmwv4Bh8WJ7Bzbe/d3wbAwaWZj9QWJKBrgV3bTZrZ0Bkj5YMa56NKqVS 59u7GJCkq3nk6xc2GnBa5f38BQMq+CaRfAcbqYzgm4dHGLDRZcMl8XNspFV+ TPb6KANOc+T8IxPYaFPcm7n9nxiQS18m9CWKjSxVLnPGvnD5OmVd6zzCRoG+ 8rITEww47yBlWGnHRpHMk3N3pxigev+3pb4FG8WJDvcGzzDgo0mOUs1mNsoq vXZmdpYBF+clae26bHQ1eumB+/MMkNAd1ndYx0aFO/abRP5lgE+Bq+THNWxU rvhYhvrHgOaOxNIwWTaqm1KeW1xkABa6T1BEmo3+B0pWQn8= "]]}, Annotation[#, "Charting`Private`Tag$8295#4"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.883709869951499*^9, {3.883709931548687*^9, 3.8837099535027523`*^9}, 3.883711640492401*^9, 3.883712120004285*^9, 3.883721879279222*^9, 3.883810163021236*^9, {3.8838142471447573`*^9, 3.883814264108591*^9}, 3.883814563883505*^9, 3.884769148895431*^9, {3.884774475709745*^9, 3.884774506497497*^9}, 3.8847787111468678`*^9, 3.8847796307462378`*^9, 3.8848443806110764`*^9}, CellLabel->"Out[27]=",ExpressionUUID->"23580ef2-7be4-4f5b-806e-abe050ffb5b4"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "\:0424\:043e\:0440\:043c", " ", "\:0444\:0430\:043a\:0442\:043e\:0440", " ", "\:043f\:0440\:043e\:0442\:043e\:043d\:0430", " ", "\:0432", " ", "3", RowBox[{"He", ".", " ", "\:0414\:043e\:043b\:0436\:043d\:043e"}], " ", "\:0431\:044b\:0442\:044c", " ", RowBox[{ RowBox[{ SuperscriptBox["\:0424\:043c", "1.5"], ".", " ", SuperscriptBox["\:0424\:043c", "0.5"]}], "/", SuperscriptBox["MeV", "0.5"]}]}], " ", "*)"}], "\n", RowBox[{"(*", RowBox[{ RowBox[{"PsiP3He", "[", "q_", "]"}], ":=", " ", RowBox[{ FractionBox["1", "q"], SqrtBox[ FractionBox["1", RowBox[{"p", " "}]]], "myNorm", RowBox[{"(", RowBox[{ FractionBox[ RowBox[{"Sin", "[", RowBox[{ RowBox[{"(", RowBox[{ FractionBox["q", "p"], "-", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"]}], ")"}], " ", "range"}], "]"}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ FractionBox["q", "p"], "-", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"]}], ")"}]}]], "-", FractionBox[ RowBox[{"Sin", "[", RowBox[{ RowBox[{"(", RowBox[{ FractionBox["q", "p"], "+", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"]}], ")"}], " ", "range"}], "]"}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ FractionBox["q", "p"], "+", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"]}], ")"}]}]], "+", RowBox[{"myCoeff", FractionBox[ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"]}], " ", "range"}]], " ", RowBox[{"(", RowBox[{ RowBox[{ FractionBox["q", "p"], " ", RowBox[{"Cos", "[", RowBox[{ FractionBox["q", "p"], " ", "range"}], "]"}]}], "+", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], " ", RowBox[{"Sin", "[", RowBox[{ FractionBox["q", "p"], " ", "range"}], "]"}]}]}], ")"}]}], RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox["q", "p"], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ")"}], "2"]}]]}]}], ")"}]}]}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"PsiP3He", "[", "q_", "]"}], ":=", " ", RowBox[{ FractionBox["1", "q"], " ", "myNorm", RowBox[{"(", RowBox[{ FractionBox[ RowBox[{ RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], " ", RowBox[{"Cos", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], " ", "range"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{"q", " ", "range"}], "]"}]}], "-", RowBox[{"q", " ", RowBox[{"Cos", "[", RowBox[{"q", " ", "range"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], " ", "range"}], "]"}]}]}], RowBox[{ SuperscriptBox[ RowBox[{"(", "q", ")"}], "2"], "-", SuperscriptBox[ RowBox[{"(", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], ")"}], "2"]}]], "+", RowBox[{"myCoeff", FractionBox[ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"]}], " ", "range"}]], " ", RowBox[{"(", RowBox[{ RowBox[{"q", " ", RowBox[{"Cos", "[", RowBox[{"q", " ", "range"}], "]"}]}], "+", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], " ", RowBox[{"Sin", "[", RowBox[{"q", " ", "range"}], "]"}]}]}], ")"}]}], RowBox[{ SuperscriptBox[ RowBox[{"(", "q", ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ")"}], "2"]}]]}]}], ")"}]}]}]}]], "Input", CellChangeTimes->{{3.883472650234065*^9, 3.883472707765132*^9}, { 3.883472768374175*^9, 3.8834727730285788`*^9}, {3.8834763893753567`*^9, 3.883476393819928*^9}, {3.883476594380974*^9, 3.8834766301142273`*^9}, 3.883479515801772*^9, {3.883481194077519*^9, 3.8834811948040333`*^9}, { 3.883481372281888*^9, 3.8834813891601*^9}, {3.883481631881057*^9, 3.883481670046994*^9}, {3.883481795462813*^9, 3.883481798335828*^9}, { 3.8834821201661377`*^9, 3.883482156692244*^9}, {3.883482198555661*^9, 3.883482201313931*^9}, 3.8835521525026007`*^9, {3.8835527323712263`*^9, 3.883552805972075*^9}, 3.883553233902478*^9, {3.883553370765657*^9, 3.88355348918934*^9}, {3.883555231506804*^9, 3.883555258874123*^9}, { 3.8835553235529633`*^9, 3.883555356549965*^9}}, CellLabel->"In[28]:=",ExpressionUUID->"2d742f3b-e2e0-47c6-baf7-86eb7d257d8e"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "\:0424\:043e\:0440\:043c", " ", "\:0444\:0430\:043a\:0442\:043e\:0440", " ", "\:0438\:0437", " ", "\:043e\:0431\:0440\:0435\:0437\:0430\:043d\:043d\:043e\:0439", " ", "\:0412\:0424"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"PsiP3HeCut", "[", RowBox[{"q_", ",", "cutVal_", ",", "disp_"}], "]"}], ":=", " ", RowBox[{ FractionBox["p", "q"], " ", RowBox[{"NIntegrate", "[", RowBox[{ RowBox[{ RowBox[{"PsiR1Cut", "[", RowBox[{"r", ",", "cutVal", ",", "disp"}], "]"}], RowBox[{"Sin", "[", FractionBox[ RowBox[{"q", " ", "r"}], "p"], "]"}]}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "500"}], "}"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"PsiP3HeCut", "[", RowBox[{"500", ",", "7", ",", "0.03"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.883712189119072*^9, 3.883712228166119*^9}, { 3.883712362962804*^9, 3.8837123842519484`*^9}, {3.883712416510069*^9, 3.883712498909937*^9}, {3.883712612951358*^9, 3.883712643109139*^9}, { 3.883714107348063*^9, 3.883714113312005*^9}, {3.88371457739816*^9, 3.883714579261568*^9}, {3.8837147888832903`*^9, 3.883714789001294*^9}, { 3.883714834851016*^9, 3.883714848633318*^9}, {3.883714887754726*^9, 3.8837149765658712`*^9}, {3.883715546733477*^9, 3.8837155632869997`*^9}, { 3.883715811036685*^9, 3.883715878917733*^9}, {3.883716635269021*^9, 3.883716635618628*^9}, {3.883717037674549*^9, 3.8837170662076807`*^9}, { 3.8837176367784433`*^9, 3.88371763688974*^9}, {3.883717721450417*^9, 3.8837177217422457`*^9}, {3.8837179369425077`*^9, 3.883717956506605*^9}, { 3.883719301080915*^9, 3.883719305227438*^9}, {3.8837194648559837`*^9, 3.883719490480385*^9}, 3.88371958155225*^9, {3.883812433272991*^9, 3.883812436322926*^9}, {3.8838125983193398`*^9, 3.883812601707273*^9}, { 3.883812811939013*^9, 3.883812836349537*^9}, {3.883812882942279*^9, 3.883812903565971*^9}, {3.8838145735474977`*^9, 3.88381457724702*^9}, { 3.883814668437303*^9, 3.883814685118195*^9}, {3.8847745235898438`*^9, 3.8847745560991993`*^9}, {3.8847798331798162`*^9, 3.884779843366188*^9}}, CellLabel->"In[29]:=",ExpressionUUID->"c4aefd0e-3506-41fc-bf66-96c712b2ce79"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"7.043641751400051`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.007653649747153992`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"8.809638700281074`*^-8\\\"}]\\) for the integral and \ error estimates.\"", 2, 30, 1, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{ 3.883721888925*^9, 3.883810169474214*^9, {3.8838124370058317`*^9, 3.883812439169436*^9}, 3.883812602653808*^9, 3.883812640655221*^9, { 3.883812832071782*^9, 3.8838128381350803`*^9}, 3.8838129048860483`*^9, { 3.8838142741990013`*^9, 3.883814288185184*^9}, 3.883814686293971*^9, 3.884769158604759*^9, {3.8847745263522253`*^9, 3.88477455670166*^9}, 3.884774671068194*^9, 3.884775015627852*^9, 3.884779844028769*^9, 3.8848443940741453`*^9}, CellLabel-> "During evaluation of \ In[29]:=",ExpressionUUID->"1e70674e-2d95-453b-8923-d24882c03633"], Cell[BoxData["0.0030205434873133113`"], "Output", CellChangeTimes->{3.8847746710834627`*^9, 3.884775015643466*^9, 3.884779844038706*^9, 3.88484439408729*^9}, CellLabel->"Out[30]=",ExpressionUUID->"92824ba5-dd87-46df-8448-fb20f88b5db8"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"NIntegrate", "[", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"q", " ", RowBox[{"PsiP3He", "[", "q", "]"}]}], ")"}], "2"], ",", RowBox[{"{", RowBox[{"q", ",", "0", ",", "Infinity"}], "}"}], ",", RowBox[{"AccuracyGoal", "\[Rule]", "5"}]}], "]"}]], "Input", CellChangeTimes->{{3.8847747087981586`*^9, 3.8847747426101522`*^9}, { 3.8847747982444067`*^9, 3.88477480261311*^9}, {3.884774879671093*^9, 3.88477489967276*^9}, {3.884775002554412*^9, 3.8847750061597137`*^9}}, CellLabel->"In[31]:=",ExpressionUUID->"ccada756-7348-46c1-b563-ab963b6bc06c"], Cell[BoxData["1.5707974356954326`"], "Output", CellChangeTimes->{ 3.884774737163644*^9, 3.884774825153105*^9, {3.884774882331399*^9, 3.8847749050795603`*^9}, 3.884775008642324*^9, 3.8847798515657053`*^9, 3.884844396410514*^9}, CellLabel->"Out[31]=",ExpressionUUID->"f69a6221-fe1a-417f-8943-118659662b7d"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"PsiP3HeCut", "[", RowBox[{"q", ",", "7", ",", "0.03"}], "]"}], ",", RowBox[{"{", RowBox[{"q", ",", "0", ",", "2000"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{{3.8847746263797607`*^9, 3.884774646217277*^9}, { 3.884774749850868*^9, 3.884774750895873*^9}, {3.884775021237714*^9, 3.884775023547864*^9}, {3.8847798567088413`*^9, 3.884779857457473*^9}}, CellLabel->"In[32]:=",ExpressionUUID->"944ca04b-356e-4d0c-8a5f-3da8872641bc"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "slwcon", "\"Numerical integration converging too slowly; suspect one of the \ following: singularity, value of the integration is 0, highly oscillatory \ integrand, or WorkingPrecision too small.\"", 2, 32, 2, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.8847747527875423`*^9, 3.8847750239682083`*^9, 3.884779859188314*^9, 3.8848443997326393`*^9}, CellLabel-> "During evaluation of \ In[32]:=",ExpressionUUID->"1b26f97f-a919-4e65-b802-c0e84e48f164"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"7.2407683631478355`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.00031992616436338195`\\\"}]\\) and \\!\\(\\*RowBox[{\\\ \"2.7816518705436625`*^-7\\\"}]\\) for the integral and error estimates.\"", 2, 32, 3, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.8847747527875423`*^9, 3.8847750239682083`*^9, 3.884779859188314*^9, 3.8848443998027973`*^9}, CellLabel-> "During evaluation of \ In[32]:=",ExpressionUUID->"6baa4477-4702-4e22-b710-e08fe861a39d"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwUV3c81e8XR9EgSkRCRQOphIzCc4wys7L33uPam+te6xrXvUJJVlZFhJSQ p7KlqOSLhJBEScus/Pz++rzO6zyv9znn/T7P5zznsIOvoTMTAwPDcxYGhv9/ 53/80bnowow6/jEXfmpYQf6lYVJqRVPo++VXEi8frqBQ1q8u+4t+orEaHznS /RUkqyZwn+b3F006fo7cWr2CIlrKGLYWbYG7cd/UTcpX0MiIUjmibAeDKEWX sLwVdG558FKE3y6oePbyGIG+gl5QZMPfie8Bw8ABc0XyCvp7lXxptXAvGFT5 6037ryDxsr5DPNz7IC/5wqCb3Qqyun/glzSFF0bXquT7tFdQ6jPXTsO/fHCs dwHxn11Bzf111wl+AiCqxyJizL+CvoxteFM/HoQwNffyGMYVRF0qPTQofhgW XkV9KppeRi1bf/z8WSgM09e6SLMly2iQ9dp7pndH4O5eouUB0jJa4FTq3MN9 DOY/3//sYL2MBA8nXz9NEQGe79NpBuzLSEZEIk6pVRQkxazVd04vId3Tg96X /opBhcPy77WHSyhKUUjZ0+8kbOWy0KiwWEKZal1i4RWn4O9MBcSILqFKbR8u ysfToH9vd1/d0m+0IP4+4I34GbCWbgvySP2NBM+Lqn8vlAKx68dfXSr7he4o /WlaUZSGnQSqqZP7LySj0ifB8E4aCi5Otcid+IV0NYP4OLhlYFzposilip8o 2vTpV3GKHLz682l7Uv4P9D7APNPNTxFWBk1M0q0Wke5g2+K3QlUoP+7l7iX4 CcWMW5uzL6nCvw8PnSdCZtC92aWn4tpqENVQ4vL11Ue0Z13kivtvNWjr43ko lTSNBg6mnZ3SvAii8+WXyBsfkIW7cfjgDw3Ict67PcFyBKX4L0z+UteEhOJL imlnh1FzRKL23jxNuCFT0Xhm7xASoD7i11fXguzvLk+ah9+iiVoB3J2rDbpG ih3B2a+Q65+PWx6r6YLjsTlD8ZZWdI05xutdji54lr4ytVx9irrYed+uLuiC 2yRfyRfFJ0jssFaZTI4e7LK0Vn3X8QgtC5keGQrWh49KTpyL5DuIVl5s5lqk D2ieVBFVVIJExBdTl57rA7134QjL8zxkdpbym+uwAVR9ubqbeVsMalRv6jB4 bgCWBvNs+6wLsWHvtvWJ3wYQdk4PZe0qxfP6RqcJhwwhJKVI1P3abcxv8fUq NcgQ2sK+KX0XrMH3x+R7BQoNocb27b4Y8Tqs45jAcLfHEL7p1NnePV6Po7wO uj8/eBmyqcyyEZ8a8L7vnnkWWpdhROyr3eWKRlwV1PDqc+BlEHxvdT/RphmP RRuc295zGYxaqiQMaBgHb8n3ufrrMkzsaIwrSnyCOZLmbh47aASqoad9M5We YqCTWS8EGsFQmerQpSvPcOfYPiWmG0ZwfIzLZ8/xVqwrfoeAW42gf+98w5O6 Vmzd2f9Wfq8xjOhT2hQb2vA0l9P25XPG8Gngv0vnJNqxl8PyufsOxpDVILKb WNSOw/8KFJ6qNYbBlzCvF9CBGbVrXs8PG4PXLkV2//4OnHRNjfk2owlo7419 rnK8E++e+U/WRdQELrsc/u9dSCe+KuXpIWxgAtZdbT6ZnZ1YMPbfjYlQExAb 4lt6ydKFy17S+/IKTeDgPqNC6wtd+CT/USbLLhOYm73CQw7swvfdG6R5F03g hc4xklhNFz7/UNv1LY8pyFl2BuePdeFnW8dzMpApFHQeHs9k6cZahv69eq6m 8FBy96qIaDd+VcC8wZZuCpNbCwSCL3Zjs6/XzvQ8MIXVmo36YIduPHFO3Clx zBSc81T1mYK7sWsSzlZjMYPEvU32V+O68cJbw27GU2YQXjUSY0DtxkHCM+st xmbwNkPvos6VbvyHEHYqMsoMztoIXi7etONa2OzlS82gu+fAz8GkbszKVnhl qdcMas4fP9ob040zzKU66n6ZAbXDmebv3435yjtWCPzmUK1q2/TRrhsX/TI/ cUrNHL7FMgsoa3djEZWv1vOem/avsP2FZ7pxdTqRduuKOaylff0nwNWNZd7v bXVuMgftC9eZBn904Rax8t9CU+ZgO/JWcepFF74Qek5kYqcF/DJQrLAr7cK9 7S8s8iQt4Bn94O1pchc22mufZmFhAcLcLys/G3Xhd3a/MA/JAqj3ztZVCnVh h6rEHwO3LaDlxNRBja+d+PM639GMVxag+4/3xOD9TkzQrDLVW7UAB7/4cUJY J46ZHmju1rAEFouaKKm1DnyDTyix5ZMlzHNc6Lo/2o6F3eofRXBYwZVI9hxC eju+U6/xRU7WCv6KrG1jgnb8SN/XoC7BCl7Fq7xjzm3DgwnNB24dtQY57uKL Zeda8Z6fJvfojjagpfi78Z3MEyxofdgoMdkGPI8RLquXYyzeOb8cWWMDyUzg YDjegjVyichtwwZucKmtems/xtGqd14q5dpCe2acle+BRrzUHb0U5G4Hkus6 vR2FdfjvP8euxUg72E23fsr8uhZvlda87kmzA20vf86OLbV4T/5eJfuHdnD6 WxMb2fkeFve/Fa/DbA9jL10tRILvYEe+11zCRfYg5Xrlm1nWDeyh93Am7749 OKQG+t25lYMJcTcaeLvsoUHh+XptazaOXnCxYv9mD8IajspMnHR8/dl68aqC A6jK8XQJWYbiouWJoEB9B+j9UVObHuqJb4l3qH9zdACy756RY4e1cH02bX46 2QFY3dJ966X9UL/HUan+IQcopKh8mNyfiv4r2Mms/cUBLqyzWc3b09DYwLfB 9g0HCBzmPvGiIgN9UWoMbzrmCHVd9ZJNAlfRtr16z8oCHWFfpkzTQHABYteQ zjyc5AicUfGJ3Q8LEVfUfpcbuY7w30CHpGhVERL6NLUj45kjzEhVFD1LKkZK TaEGUbud4O/UcYmoX2Xo0OvPL/OPOsFtr/6vi/3liPGzhc6Tc04QeIEey1l2 C7XtU1Tf4uwEtxaerpmcu4PKTla1HQl3AosLeyaDVu+gRLWDKhfTneCYm4y3 Qk0F0vJnVKQ8coKmM8W/n+28i8Qp/o13XjoBC31IjVJ5F+0qnJLtnXICyRKF bAb1KtT/ol2Sg90ZOhXDJ/e5VKPaaZl7EsLOsL10981nc9Xoynr5SUM5ZzBN JfrxS99DJqLJIlkOzrBbPdR5oOwekoP10gchzhDnLmfwbuQe2m/qJTyU6gxl rt9uWbLWoDXv94WrRc7wkhGnWsrVoNE4XcEDD52BlNvYnGpfg1pyca5CrzOc DspirUmsQQW1EvttPjiD3Ie3+e53ahCxuyg7ZskZzl5PONHSXYMcJji5ilhd YFh2rv3BxxqktkymPzvkAmcs341Z/qtBR9l/s0+fdQHCpZPKD/bWIpajLqnM 2i5gr7OLo+9oLZo9/9+O43Yu8KPFCVdL16IeQ41EjSAXEE1ROOAAtajS/dFW j2QXqOo4fH5RoxZRiWKklAIXqF5NiXPSrUW+V3M3Ku+7wNUTF8q79WuRfhVb 1MtuFxib8XM5aFCLJNuj1r6NuYB5ct/cu0u1iGt0IWTPLxeIue0qe0e9Fi39 sP0tucMVrh+VYspWqkVDO175Gwm6AiW4X6lCshY9OqSyGCTlCv756weWhGvR ddk676sarqCblWlTwFGLInWPzDdYu8KJ9TnKifUaZOOc5Tbi7wrpOx8f5Zqu QSiSZWY90RWSTyUouPTUoENXQhwF8lzBNEdx2+mqGsR0Z3ZCqdYVTpOn5iLS a9D0E3Mbu05XqG/kDLbwqUHt//W8ix11Ba66bJshrRqUxHx3sI3FDWRy/df8 mGqQB7+g0cwBN8jQN+V1HbqHtKXSX2074wY2Z2zjJCvvIXZ7v14tSzdoD9XK j790D2U2n33WX+0G+sde0Vy+V6HgN2XoR5sbBLu/m5+IqkKmczyP9464Qdnd 1+7fWaoQH+/aQ5Ot7rBOb2rS5riLCgNa7o6aucNt2dl6kT930OqCoViWlzv4 oKtc62F3kKHHp7JLRHcYEKda3/x9G221313YUu4O7zpCPPtnbiE3XYeMwiV3 sGBulXDML0MSoiwhTpkeUBY9dM5/oQjhsUvwpc8TLqbHx3RZ0BCvxWRzyZQn WGndu8qvRUWEt8Hy1sueICH8ZmTPhxQk1Fsg+VLQCzSl3j+24UlECY++H7nn 7QVPFN/pUCwikG5m1o5AVm/4K1pFPXLQHpdziCWIH/SGF/yxoSp17pghpYXp o6Q3DL39G/J2nx+ujf20bmzhDRt55EM73MPwPl/5Bdnb3pDjmcPy/l4cHtN8 /3r9og/cviZmkpdFx5zlf9csrHwA8xyb9IzIwBe3Cgo3+vnA13Thjo+WV/Dd FpuA0Bs+4G3z4B6NLQtPHIjJ/a/GByxG157mj2ZhrrCCVplOH4jJz0Sc5dk4 Umpi7+/vPlAnyhO1IHYN36MxKBht8wWxDRFJhelreOrrIac6fl8Qjpo+/+hq Dta6ZX/fT90XKi35l7m/Xsf7BaaMFm74QqjXNg9H/TysE74l6lKtLzCh9pAT I3mY+J9waWWnL5i2vGH9aJ2PZ+lOvz1++IL7w891By8XYGrIM/aPWwjQ8i0u /kZbARYpe30zk50ACclsYoy8hdhyy8+en8IEyDbKPXAhvBD/OrPFtvgUAZo0 tej/lRViqt3en4byBPCmVpvb9xdikXThRCY1AoTKyytMLxXiZ4+lDtTqEkDg mrGnA18RtvqiWm1vTgBNEiN57FwRXuIzUt3jRADCvE6ipVkRpmk6/ffEhwCC 5MHJUf8iLBYa6EkII4BZ7Hlnl+Qi3FYWt3EwjgDjsWTlP/lF2OZt5pU+KgFq /kSzFd8rwitbSo/H5BAgPv9gky0uwhmS9U2nSgigdbCrUPZ5ERa3b9cbq9rE 08n0lhgowh3pb6fSHhHAi5ojrj9ShO1aPoYothGAevaQSt77Irz65Tfr15cE ePLmrbvg2CbeAZbCG8MEsDrEVT/ybhNPa5+0zjQBprfnJw0PbuKFHutaXyCA aIZRrlDfJl65jFXFKgFaeb//fNxWhNfeXly02OoHxounP9U9LMKZW03jdnL4 wWGhce5dt4rwKSlX3sb9fuCjNOvxOqsId9mHVLof8QP/ZOP9u2KLsAMtEfaf 9oPOH9nXO9yL8J+WqwNd8pt27Mc72/WLcPbXcrdQNT8olvil9V6qCJ/mb/hz XM8PjlIqH+lyb+JpddH+M/cD7caIQNdfhdghbOhIopMfcJo9lpZ8VYizB1d0 ZsL8oItJrmdHXCGWYN7xISvODx5s4Tlx0qIQ90jtD7qQ7gfWu8klp08V4n80 +bySEj9wfBisy1RYgJ21w7869PnBsgxPhMlKHj6kPJQ3MewHea8rj5sm5uFR GRldm2k/6D3nfW2dMw8bCv2oMl/1A03+5uSMQzcwrLoT9IX9gelVfsFDnuuY v9z8p2KIPwja52lZpmbhoRsPi5ti/aFPJTkg/nsmvpLBbSSf6g/OpL9934wy 8c7oV/eli/xhfrS0dWHfFbxipBl84rk/rHAo5YQk0/AbJvlV3oMBMLdObN2f loCpK9m3s0U37ZzGg2uy8Vhr4Zc5l3QA3Fq0zsueJOMnw/caOTQD4Hnf1y3d srG46p5IJEtAAPTW/dfT9DIEJ9vwbvzsCIAddc5uq0oa+KJRcLXfqwAYP1Rp +V3kEGbUGrD99i4ALq5Z9yszAgo9S3sytxgAx9p8y5W6LZEL23bSB75AyP3i lq+TQkDKjctb+3wCId/poX+bSCySc/gkfS00EA6H85KXD5KQxM7/nOxJgQDF 67s49pKRoMWDtp9ZgbCYZOFy5UscWlsNjON9HAii6le+3PVIQt+LnO5/6AiE VYn335uVKGhW02j6Tn8gCBK2ju1hT0b/5UipKU4HQo8vuqSdn4Luy//Y4sAa BNHkrWLGZCqq+PBB6gR3ECC+PqFPp9PRTcorx1+CQSBg4yN06b90RBu+15og GQSVqTFj0ik0lBhb+FNPIQiOhT6QYPmPhqJFacL7LwZBJlN5+slDdOQd5kuu MA+CbtOX9j536MjpsG1doGMQeD6uvEucpyOrbt0pRe8g2MHK83BENANp7T+l 2k8MglD2QaplfgZSfioQkJMcBOYDi4zRAxlIzn1XsUNmEHTwW0SMb7uCjj36 wvS7fDO/PoOsTUaQgP2oZEtNEGChU9f96VcQ145eh8SmIGDt/+DV8egKYq1p ytBvDwJDcS0ek/EriMm84tn+viDIiQhZOcyUiVYZcn9MDgVB66utbWJCmWjx VrJQ5WQQFNW6xvqhTDSrH24Y9CUIznjIpiybZ6LxFXeS0tImX8iL2uKXiQYL zWu3MQTD0dJsSldCJnqpoTnZvyMYAs7v7uXJyUTti3Kc1/cGw4dP/L+rbmWi 5msiKo4CwTBhy/WTVp+J6oDXX/x4MORcD2R6ijPRndltN39LBMOrkl+VKp2Z qIi2/KrlXDDUDlK79vdmomtynxiT1IIhe3dcsNbLTJQ+MXjGQDcYrEXMhIZf ZKKEpA57PrNgOFTdSezpyUTREg/oU/bBUC37kCrcnomChkqfVnoGw5k/vLTP zZnIi5j1PSgoGGyqRtmFajORk0j8YRQTDLyzDcOvSzKRZX+gwXZKMKjqGm1h yspEhqFOsa8ygkGHZetEPSkTaR4yqrl+IxjeJRxl+e2diaBL9YNj2Wb8pQ/a HSaZSJYgtefkvWC4df1Uh4RiJjrFK6y89GjTf5jSef5wJjr6hNMPtwaDHmf1 2MKmHvxuTEVJL4Jhd4n+W4PJTf0aPjAc+LDJT/WucvXrV9Ci/tWEh/PB8PpE dnCM7xU08FmHzWgpGNS0hA8eV7mC8g408KSxhkDVT1baz/EMRLrvnSe6LwRK if/1n97cN1wuCQt3HAqB9x5GgzsDM9DpGOqpjbMh8PNi4+eX/+iIi1ftfi6E QHn3vOerJ3S0cm9VXk47BKhVa9mlRDp6Oul0wc8uBHblxcuvrNLQ5YvnraaS Q+CsVP6btNvpSG588UNMVgh8ERtqvLMrHfGHlrnyF4YAj6nSJ00fKvp4e0+A cX0IWJn11cYdTUMhu2YpneMhYGselHbGNxnlDmQ+rJAOhZui6wIyyXGI6K2l qIFC4fj2D3/vtpGREwtD67RmKDQwSXVd+UtCJ+U8XwrYhsKJU4Zcxz1jEc5V /phOCQUc1ib5yC8STTkscAaOhYLYbqG63zM+6MR3dR+FpDDg1zu6XyvMEeso pAccyQiDq4KPr9spuGCvxMFQthth8I+J96vjihuuFHAmj1aHQcEt9Z0b5j6b 85B0LfK/MFBYf8jTbB2IdbK685w+hIGpSmfIQn4Q9prYXawzHwYc1oHLIe+C 8d3ggrv8G2Fg1Ty6yn4xDJ8qbn7WfCwcch1kpRffR2HdhS1dJRLhUPUk0Cxs KRr7yGu/SD0XDnKeJ3/XbyXi6r7h/6x0wyGdleH4Xo5YLPFn6cufoHCwLMI5 xxnIWF9d6cd0TDh4PtCMbAkkY0JG/HIvJRzq39+zPjVDxjUiXEx5eeFwbtfY rQAchyWNz/AotoeDhWCgf7lWAjYsDOU/2hcOh15fVdhXmoD95/HhXcPh8Muc Z1zwTwKui9UVf/8lHMwTzzyeKUjEA71ZZ9qXwkEl5m5J7pdE/IvnvcxdhgjI mhRpfns2CUtXeSpHcUUA052zb7sfJ2Gj1dqLzoIRsH7G/FjUnyQcqLamfUkk AiyvcV+8JUvBmenKBmclI2DglMdfDV8Krh9JMhFQiIDzD8yTrIspePBovyXz xQgQEgvOmn5DwUsEHvuvehGQs83+wnuGZLyv2cblrXkEsL07L6YuloxltpV5 PnaMgIKtHOpC+snYxPArodR783yEEIevfzIOzpMOTguJgLlALedT9GScPRsR ERQbAcbdx3PtK5PxQ6lWonVKBAyqWhF2tiXjoeidCReyIiCNoW7PiaFkvNJt kHKyIAJSPgJvx2wy5uXOoXHfjoBSb5eksd/JWM5uIutvbQR8LprvD9lIxmYV x3M/NkeAXcd8dxZzCg5d8il80REB16W76hS2p+Bryg9K6/sjQOExm4zfthT8 KPXvnbyRCOg117SR25KCR/5Tuxc/HQEj1h/yr64n4zWh1HrvhQi4YdvzInMx GfP5vGk0XomAngYbYZnJZHzuEd8TRaZIOA/zcqT+ZBz5vPrDT9ZI0Nw7+f17 UzJuea+25Q53JFi/RxfOlyRjhsXhI3YHI0H4Z6S/MyUZKzP5XtwnGgm6Yam7 Qj2TMYlrq1uvZCTsCyL/DddKxm3HcigkhUiYkpWLCD6WjDW0W3sX9CIhZkEq M+wtBSdbmy2UmEfCpepw8Su3KLjX9yuHpWMk7DkzrNUdSsH6mTyXO4Mj4fbp AsPa3RScUVYZGEWMhPqVA2lhQ0l4oEE5Wyo5Eh7tu/8lPi8Jm773HC7Ii4Qr U1L1OQeT8LVvDOvG5ZHgZC5CfziaiEcYs/nZaiLB5hJ/gPrVRGxz7IltaFsk IAef91+2JmIXX64Z/flI+PJh165brfH4Vuztbdt+R8JF7zMHq7zj8dwVJdHH /yLhDE/k7hTueOzd4OYlyhkFlhEBPRs2cTiQ8fEPRvkoCCT5YvMREn6w15Cr QSUKtlwozroeSMIrRz+d9dGJAs36F0tCu0g4UmtP2IhtFPzjb3e+IB+LyVec N2oTosBNN1Lg879onHGUnc1pIArmPr77114Ugqs1bY92+EYDGyfLys0KWzym 03hDLzwa3sdtWwu3tsTs+txcw3HRkGbmsMt8jyn2MnnO9CUnGmTVJHt3b7mE RRxlJ/a0RYNWYuMPJ1thdDOSI9eaNwZUvt0dYSPao1cxHpyfhGJgx+V2w6eB joiB3E4hnIyBYXYBo51OzsiGEhFKVokBeR/+7fZn3NGB7E/Gt71i4KF2Rqkm EFBmNd79+0kMaPU4NTwaD0attXxJ0c9jwO+MzjVcFIJ+1AdtbBuMAcbOuq/O tqHIoPnEAt98DPxi0uFUfhGGiDjBueR3DDRx3VTVjQpHZh8IC/sYiLAQoFRb KRKBEqefOxfuJALHw3blfZv/a0GXsMMfOYhAfnepfWNXFHrw6dh7UW4inA9d vLRcGoVm5mKN6g4SoSDjfNnbjmgU7XV698oRIizRMpiK9GIQ98LocwUxIkgf 5o1RfROD1L7LqnZIE4H6pKrD15mIRv0//tt5jgiEqfIV+wIiCviV0aiHNvGI xml3Bono5vLXM8OaRMCmdjtOKcaic2G5XwX0iLBF7iLZ3isWvVrTuO1gRITf J77GjV6LRQz/ig99sSGCaM2u/PzPsehajMGohBMRTi/L+H3YRUKnGTeuBrkT oWmMXdXxNAl1kCovN/oQIang8RchXRKy2WrBsRFAhAlsVXHQg4SW4rc9Vw0j wsXS9IPmZBKibqtPSIomQtpBjkt9OSR0jOKg8oJMhM9sItdJd0no8c7d//ZQ iHDh3Mm+gBYS8ndOCPuTRgTXu4ip8zkJiTz582smgwjKrhp19YMk9J4vgPDq KhEC5La6K4+TUEbQ5/mmG0Tw8Iv74fmRhDT6bV3LioggIV7oIvuZhP6KDU7S yogQ/thauGyOhGrjdWwiKohg7W70onHT7zbxbNj5HhFKgln0QmdISPC8vLF+ PRF+NEsNfZggoTdZ1f3nGong8vzI+7UhEkpaPKpzFBMhs32Bu/MlCSlp3+jk aCPCCte9KK1nJPSrlFN1rYsI8hwdBpQ6ErrNQGmZfkGE+er13Uk3N/my3JDv e02EoMSacO10EuJ6EFT/6D8ibGz8SxsKI6Ge3V8kSkY39eZ7kSTtQEIxng6V 1A+benfMzThpkJB0x9DxsBkiOC7x2fuKk9DcIb1ix3kicF/l/2LOTkKFEe2C uoub/ZRc+VBsIRYZD56/LvebCOP9sSdnn8eiJyki9F0bm/VwRo6oxsai4Jl8 tpUtsXDvJPHvN7NYdEKZO2lyeyz03jYvLDkVi7KXGGMecsZC3N/AxAsDRORl /87L/lgszJ381am6g4iEmg1mtU/EwnW3jcZDJTHov31djjISsbD3PZ/VJckY pNJ734L1XCwIH3vIeFstGvHKUjXqL8XCzdTjGQGqkaiVTfnIjqBYILTu30tv DEGhrg8LfobFQuZr9m5PwRB06tnJA2PRsZD3QPjvfmIwuhbCx1mXFAtGRtfS NBSDkM/kzw2rG7Gw48+hU1ZF/oivoezdvdZYMHcpqNDX8EAXWRmYmLtjIf6l 5e3DT92Qv425iPnLWHj4qJ56Ws4V9WxlC2IcjoXUJ+f++3LYCUUY+LEbLsRC 8p5L2uUDlmh07rzyT14SZHvwZRzdJ4K2K2W5qguSYCmJJ6tW/3mLNH0hLVeY BLlv2o7XvRHBqbJFI6qnSDD+xjyOTU8FK8axBGaqkmAWO2183mKM8wVelZ31 IQF/6rzo4ANn3EMQe0EJIMEE/VyvwE5XvNRK/vk+lARtdv984szcsK6HDCSQ SbBjme8X84wH3niQOzx4jQQCg2enCdgXi+/8vSGWTwK0PaG0MICAzax1j8UU k2Dh4YXViK1++N4WxoDjVZv5fXqj3cnvj+30XdhCW0lA0Xhs8PVoIE4txpK9 XSSw+8B+u7wgEDcs8ZofekmCE0W4cpg7CO/Oe17aNUQCd49Oot9yEFZYPNLL P0YCmSATIewQjN1Uo38QpkjQuPGSy6gnGD/9LIH2L5Dgs++dL6LUELygkOzs /ZMEyfafNUznQjAfbSrl6cpm/MNnP5aohGJ/mewh9y1kWNJk1iZ+CsX5lG// Hm8nA/XsY/UNqTDcM6pxlJOdDNpMpfPEyDAsRF73a+QlQ2Hr5cNBjOF4/FFE 2W8BMnDTOs73KoTjG4vrIxLCZBD8RXkqGxiOzY9HcniJkGFjYMTyfnk43mfz R7X8JBnUyvepoP/C8ZvMyNBJSTKsZkfLDzJFYNrzP5UCcmRIaP+UGSIWgS8x RX0wUyTDnqdm0kK6EXin/F/uTBUy3DTMjHvrHYE7faO0+tTJcOY5PZpOicBx ZX+jd14iA+vPyTKTogis/D6q7oIhGTTat+06Vh+B/+3994loSoYx4XtajO0R uEkrmr/Zigzku/Okuf4IHBr7T3/Zngy9n9Xtp4cisHRDdLykKxnuLo/y/hiN wN8X/j3y9iLD8pKGI8/7CFx1NGbhlh8Zumyux5gNR2APqw2h6WAyxISJnml8 FYGPX4kxPRhJhsMq9i3KHRF4unsjxSJ2M/67kG+/HkTgIgbik6wEMphP7ts1 UhyBbWQZfvenkOHlm59jy6kR+IAPUZSNToYbb8zuGPtH4KESBhv1bDI835kv sX45Ame9I2aQcslwaO7K3cUzEdiQk7HzcSEZPmaOvVVii8AcmrHrK6VkyGxW ebswGY57YxglpCvIYCA7rbPzQTimPIh18r1HBtW8YIPc+HB88Stjzp16MtTL 2blXGoTjJxZMTIefkGH3/rb9EeNhOIpOkrFqJ4NRyY4ZvaIwfK6LyfNqDxkS 94uIvrENw/fPbhnY9ZYMct+Z/vG8CcV+XuTtmiObeq4qMvxKDN3cX7Yoxo2T YdFl1LhOPhTf2r21bO0zGRyfH/3HlRmCndXjRs5+I4MCZerBgEIIForeyuH3 a5O/MKfk2slgfGN+a+inf2Rgp77btu1YME7vYNYa2BsHrtYHMkZSN/epv/HR HPvjwONbyDe9Q4F4uzRLnZZgHIgevKvtVhOASUUs/E9FNv1B7be6e/1xcOS2 hbuKcUDhJ0QYzBGwjeSOjETXOEgIUP5mddMdy6sYJrh5xYG6i9Lp2SI3zGWY G67pFwdNrnn23gWuuNvvpCNrRBxURVrvn8t0xtI1BtLp1DgIumzwR9/bHrNK XB/Mro8DLwtOODZpgGfQVE9IYxxorw51B8To4Sd64tgMx0FU8CuLwXPaONi3 pZyvOw7SQrKkLO6r4MmqydD80c3812u5JXew4YaTJw6UbYmHayv1c9KX9dAV xUCOxO3x4DppqiZfaYB8Lj3e4rYrHnL/e3X29Z3LSNhb74soTzwcoET6s+Wa ImplwOO7YvGwKz79ZqyyLXJvbq6hno6H4ZO9u2aodkitl7nMVzoetN3NL4uH 26PV+avUM0rxEBavOFKv7oicTjTb1hvEwzPda7WszS4InWc2yjaJh1/DPzni aa6IT1tXI8QyHnZ/c/aztXdDfR4TEvLO8TB2437pxLI7OndnK9Pj0HiQPi+i NfDbC3E3XlrKi4qHvRaN9/ZUeKPF7uy5aFI89Ck5zu628kFln0XeQGo8vEj8 2MNR44v2iF4qaSuIB9anI4llnH7I4UyYKkdpPEwm8RYH2fuh+/Klk+Z34uGg vDx31F0/ZKL199C3+/GwHFfhyq3oj24Zij6Rb4wHvlYn6lWiP1q1MLaNw/Gw n5n5uvRTf3TD827e/p544D4kdLdMPgAtBAwrOPVt+hkY/Al+AQhFMo9WDcSD UYHCVaWyAESLOxOxOhwPec2vr7ANBaDJVGs+tfF4eNh4UW+QJRBJZ1EeUafj IXy5+/A1yUAUn1dvNvx5k29L3QFdy0A0WPphWfhbPCicSS5cJgYikapdV31+ xUOj1hcJWnEgCn8gL/NoNR5GrxAL97UGouctzm+3bMSDCU97OGU8EPF30gN1 tyZAbYZv06eVQOTT93hvzo4EEKgWfinBEYSe/Pe5doo9AY4u7ac6CQWhPRPc hqe4EsC/8OEFsmQQcphV/h66PwF+mPFUpaEgdH/Rm9YqmADJ3OSFOM0gxLKa c5r9SAJEHxnP9dAPQqaMHS/NRBPgXgZLAxgFoVs7fngXn0oADY79NTuMg9Da HsFdC1IJkOPfaNdlGIR0+LQq5eQT4MYeNVbipSCUJxSsTVZKgFvbZm2kLwSh BbGbcy9UE6DoZof/Z/kgBFIvKbyaCcB/cKm9+EQQyji/JuKomwBS05FKbnxB aEr1WNfdywmw4KskosAShKR1DF1XzBKA6/g7qaPfAlGCUTSLqk0C5CqQg0Tf BqIhqzulaY4J8GKm2VGvIRCJOg+qDbklQNd+wcG8a4GoN+gU2TsgAT67M5Ff 6QciwWgLoYbQBNge/P5Ch0gg8k1IeMoUnQBZpdXXmf4FIM6rYxtXkxLg95Yz PwMLA5BTwc6CybQEeC8wrvvYOwDVl8sonbySAMqhmp/95AKQWQM18lleAljq fRHX6PBHd540HthVnABrOZo90RR/tN4102h6KwEGfginaGv5o/xhpdUvtQlg Q6LUD7T5oem1hSCergS4yP5N40c+AclsOcDt8CIBvl+9HHpEn4ASWdXvV75O AE7/xvEb/3yRGH/BD+X3CUD/vL0lutoH+Srq+Xr9SADXOV4HyY+eaExQ7aXV cgI8Pux4/ZaMJ9JlkD956U8C6DlPyZjGeyDxVqH5kyyJ8PVeGAvmc0dzGksu 3/Yngk9l/29fERfkZJRn46+cCBlSxAv2z22Rhef8pVBaIih9VYjW2XIWdetM VLplJYLkvutu9tXiSO7UW1bz64lwXvnckXEsiHi+t3TLlySC/V9lQzuVfXgg OOPC+sNEMPx9K2wOI6xHkleMHk+ECpHza6XJRrjF8dQNn+lEuO29bFfCboJP XRBet/mcCMJ1Iyw3qaaYbfuuR+hnIlhV5X+bj7XAPWkT0ozbkuDg6ix7Cq8d VstJFI87lQS1s8qhcerOWCzAVmZMKgm2Nc2R6F+c8e5LsiAnnwRNlJK4kTQX PMrw6fIX1SSQLxrQe9Xmip+NtFhf1EyCLzndB8wt3PCt+9muhbpJYLLGN9s/ 74YD3S5GGJknQTnOydFm8sAWKoLxVTZJcH7/jnsnEz0w8C9RtzslwVrwO/GW bZ6Yrb/0ZrNPEhDurAveW/fEP25HVe4LTII5WoD4ko8XHiIbPyCEJUHQpNGb uvdeuESWuedIXBK4ORS3uNz1xsl73r+JpiTBf1yqJy+y+2DC/P33Q9QkGJpI T/Hz8MEm7amfJDOTYNcJ6fvjT32wQoHT99ScJIhRy5FL4vLFQmEK6zP5SaB7 Ncze0cEXb7/MxaxckgRw1uy0R4UvHmBp4/1dlQRlaWlifjwE3DiRK6R3Pwlq HIaKS6QJuLAxQPz2oyQo8fdJdtQj4IRMbZktOAnWOR+eqHQlYC8fYbBuSwIW Y90zUVEEbKixrvmwOwm6XaYL39IIWE7ozeU9fUlw4ifH6P0iAhb8c8facyAJ /DP2FvLdI+CtgyTX9uEkOG6bzbytmYDnqi38Do4nAW7TI4a3E3A/RTIibDoJ BAvKxoJ6CfiB4874N583821V1VzrJ+AbipPUk9+SoJD9msqONwRM4mm8lvhr k9/dJmUlrwnY7Tv95ofVJDgQOX7rZR8B6z53rzy/kQS9nmWDlB4Cli5VfpC1 lQK5VaS9w88ImC9m/5NvOyjw+PR6Dm4gYAbz792aHBSoLyOvQSUBz0h2vynm ooB2bRWffR4B97IVvf+7nwJqCUbSR1IJuHYm9JPpQQpYG1UNUEMJ+NoT/e81 RyggkuvyrtSBgKOvi6yzilGgLz4/zEeLgJ0CGZhdTlNgT/KsxMJpAtbSHWJ/ Ik0BtgC512J7CVhC5B4v3zkK0HdnrBrN+uJ9TElCgYgCiVu+yX8q9cV/3tmK v1SjgICfe3b3BV88WS8rI6JFAcPRmHOZaz64K50DSHoUIArqFRys8MGZqviy jAUFnmlqfqrf8MbhAletabYUWL9a2TFR7I3tln1c55wocGKjxpxNzRuLVwhG 5PtSIFlT1LIi1Au3cUbfZImngInpwV62eg98vj+yUT2ZAiMfqk5GKXrg2rSI 10npFPiz96956TN3XLA9jIn1OgXmRb8webe64fB/AQ4c1RR4tKh1T6DIBZ+Z cxfiHd48j7amy07Y41vlbufMxzbzyc3tl1ayx4LOrobXpygQcN6BqHvdDrNN OJH4FyjwENEZ/a/b4Nm3tpOHtiTDTr/QE6BsjvOfGt8UPZkM4qwMtox6Opg7 xqjRQzIZ/m79p74YqYlTFS6/rpBNhpySymd5ty/isIf6TKdUkiFfnZrxnEEZ G93VdpA0TYYHstrlPB3H8M4cZaHzscnQE+66ZpkKKNYEzkUmJMNM+C+1PFVV tLIXGT5OSYaPA7zqq78voI9UBRLKToZVVb1MupY2ehInO6lakQxXK4p3NgwY ohDCyZs6b5Oh//l28aIwK8S27XeY1EgyHN15+dmVBGtUmNdswDe+GX+l//eR dBvU06PNODubDPpyBXpmmnaI/6iHHflPMuSe/3pZVsIB1TSdkfNgTAGVB0ef 3y52QBcNVzkMWFKAINTgF8vliHxjkrDg7hT4HOxSfWbBET0bLhNsFE6ByzEt dY5EZ2RC8FkqFEmBxbKKjZ73zmieReZl4skUKNGIq1GVc0Fc0u1RxrIp4H6u POzitAu63ZNqrKCQArsDbh18ctYVKdkbnRRWToGUOx46YnGuyJU6NbqolQJS YtoldTxu6M+Rivv/6aWAQcbJ2HYrN0Rr8k9tMUqBnwetNe/mu6HGWUaFVJsU sOpPtp/ldUe6Md17AxxTQOfx1awzBu5oips+b+6WAl/uV0UpJLgjNtVDucf9 U+BGdFJx4ow7Khz+5M8ekgIiT3MYn+7xQGcJ1Vq/IzbzLUw1qpL3QD0sIUKj xBTYsi1a4pKNB7LJU1p7Fp8CXE/S6bkxHuinFMvr28kp4Lt75N3VPA+U1PPi Ni09BTo+6r+DBg/Eb58VG5KZAg/Kb7Rm9XmgmmUrc5ucFIh4NHM6e8oDXaQe OXMhPwV2NeYIqfzyQCNHvmwXL06BH1e4ma8zeiLfproJzlspUO9jWp7P6om2 GkY0rFamgElWFjLg9ETXZlVoEzUpUOXc517H7YlOxux063ywWY+dwfHOTfsZ 92tU1bSZv8/JMermeZPKHJ6sJymQH1JutovNE82r2H+LaE+BSKfstgtMnog4 LNLp0JMCwYWPas//9kBchMV8zb4UYFLdsu/ntAe6zdIQLDGQAhxLgyqEVx5I KS9Gl2c4BQ40Ky48bPRAr6XUj/17nwLW9ewn+wo9kGsP+7/pyRSYYtkV0ET2 QH/sBt8+/5QCo1vW6SRHD0Rbzrtb+yUF7j652SAGHugo1Tk+53sKXJAc8Gvc 74Eaj5y0Ji6lAInBvFhucVPfpl/SruspECI1llrZuqmvQTObLkMqdH180yGQ 6Y5CZ8nT0syp0HNIVTnT3h0Vce/NZOJIBbcuH5fan26osuTxvstcqXAig8Vb p84NNUi55RTvTwW7898Yab5u6KXB43y1I6lgK9+jcWHMFY1MuB7OEk0F7FnW 1r+5r3z05Sz5eCoVJItMbeTBFf1Jc72dIJ8KLCiJYSTLBW0T4BT/TykVjG6p s59WcEGclc1Vx9VSYfhNKcodd0aiPXvud+mmwlDbL8llgc37w9LcstMpFfRe pL4nhzsihywXZUv3VDCZvTdtzOqIvI/saavwSYUyYwbethwHFKfi0q0TlgqR +7wcH1fbo5ro3QNUaipMyqp8M4+zRWzLTp85H6WC3JaFVe4jpog3gcPLsWWz ftX+cQlWEyTM3bhQ15oKq2epemvfjNA5KY5fRi9TwWbrj2DlOkPk6vvoX/ZU Kpg5X7meqqWDnn3axXWAPQ0MVAQs7f2lUMjQAyVhxzRoNeL/aRKjhQtBLHa/ WxpssAqZvYvSwT238lo5vNOg+/GxvYQQXcwfFqfxJzgNVigvf/ucNMBP9hsa vk1Og5vH0qmwYIQ/x7ZnPk9Pg59llwJuDBpjzjm5/55mpkHwlABzQZMJdm48 uPlUS4PoZnUpiQgzvNPyq3NibRr09PHrd76wxFKtdreiHqZBfGjbaM41K2x1 YmAuoDkNvvUk3tK3tcbV642+dh1psHCXT4JrwgYb3UgKkx9Jg7iNJQGLQTsc tfVP0+nxNFDWjt4mJWaPy7x8/x2dTgPeoRym6gh7vKpgQuZc2MTrFCT58Djg /PfCafOMVGiA8q2SZxxx54WrfR9YqND9jlqm7ueIF+/u5BxipUJhSlJ4e5Uj Vo3+nt3GTYVJ5QPXJw87Ya8Zp+FGPiqMw0GJEFMnnK07dKDmIBXyLs+k2SQ7 4VlBXJgnuon/V+3P3lknvCdRcurKKSqk/WbiHeF0xue+lR5NlqKC+qnLnFPn nLGj6X43ohwVNnIV+07YOeNUnHonWJEKtspcqTUkZ1x/nOGrlwoVXLLSxv1u OuOx9IDTjupU+Dr85pEHdsbbV2b8zHWo4O9Kcbo+7IzP2Fnc1zOggtLSU9LG ojO26HqxdMGECqPzi7tzmF1wnISyvIIlFT4/7HVy4XHBd6/dj5C0o0KB5vGT rsdc8CCDSIuIM3VzXjX55Uq64A23XIaDHlQ48WYxY4uCCxZ5xa7K7UsF/nt0 zUIVF2wgT4pnDaQCnRZe5n/RBYcX/e5kDKNC9cx5zkh1F1y8w33nShR1cx+v 1Wm54IJ7/UZ1FkhU6HTM8jqv7IKXhvXSpxOpEM2yOvZb3gUfVGl9NZJKhenM LpfF0y5Y444M1ys6Fd4+keY/JeyC/TnvmHRmU+Ennderdq8Lzg0XyHmcS4WI 00Y8sYwuuG2S9q6ukAoH2gQk8zff+9GnTojTS6lwCMWIpLx1xnLh7ZE+d6hw XdaWba7JGf9ot32hXU2Fyo3H13GBM67csyYgep8KFwJbRnbHOmMX60wflkdU 0KWN8k/ZOuNDt0/hqcdUcB45sHZewRlngqNdficVMiVpejlfnbBu6t97Eb1U GGYvsbrzzAlvH7rKaP6KCvpuzeKWWU440rf35t53VDjZdkyyQcoJyzS5/Fwc p0LUu+UDARub/cfCqPZymgozAg9Oz3c5Yqf8sx+TFqjAamq1RcrYEQvO9Z11 +UmFnfF7gvfyOuKhsx4JqitUWBdmCn495IB1XuQf/8eYDjbfO/btNnLA0n+2 eQRwp4P/5dJ9GZL2eEH9ZqM+XzoYZrAmeH+0w7euKLCeOpgOAQ/9OIOy7TD/ Cb/KWZF0+CxdoOoyY4u3WowsWCukg45N8wF0xhq3lAai88rp8Gnj9DeBSCsc +p2dxnsxHZToKaTtbZb4S5LqmTd66SAtm33PTtsCDzysDNBwTAf5N7nFPedM cQl3zIpkcjp4h/Ra1dTqY7VXwkzbh9Ihf82l3JbxGA7iLvqr+z4dcgWIV0zq +XGZueBq1mQ65Ak+yWwd3Ym3TfIuCn9Nh9bFo8UVW/Yg51WWbwcZaSCpHqZt oyeFRHb+GT2/jwb8Xi8H6o5rIKhstBjnpUGbrXFd0kdNZKYbNkQ6QINHFdTj lHxtRMlYetN9iAZbRpeOCjPqoTm+7z2mJ2jwQlhkTu2pIWJ6XK2xfpIG6WOt 259RLqMDtj4d+RI0qKiR1V/WNUI6xfNPP56lgTVXE8vRPmN098RMQwDQICZd 9NlMsRnqeFEiw6NKg9mbObIReuZozNfxfuMFGmgt1n5iXTZH7Pcnqhm1aVCZ lm3YJ2+JjpkUnCy9RAPz55f1RgYsEVqxrtDQp8GXTgOODE8rRFB4V5ZuTAPd nF4STrFGSWM5R6TMaPAqYLyek9sGFRLNbg5a0CB5v1b1ixwb9KrtbZ6AHQ3G LnAHKGbZojmXzANPHWjgZltxY47ZDjHtuJzj5EyDc29d7V4o2SHJS/2ZFR40 cM0vdVO6bYe0vlE59bxp0M4swvR0xA450i/RfvjSIOiMz/HWHfYoUoqNPduf Bozf/80hGXuU+bYnRT6IBns8dz6WtLNHlSGUHe9DaMAa99LzaqI9atuvkUgM p4HE7Fdhj0p79Nu6ndQZQ4Mfr70VdBbsETtDHIMniQaf2237jVkd0LGbKtHs 8TS4a3ro7dOjDkhJjfFPTSINtJ+kG1IVHZDJDA4zTqbBaMp09SNDB+STFL28 kkoDOcnSOhVnB5Qophh0I50G/3lnkkWCHFBh7/oPlEGDOCtaiQfJATX4NBKm MmlAD3Fa257mgGyjrF+aX6WBo/kLS1qmA2JJZRDvz6HBg/b2788353fV9WLK xRs0oLBOkptvOCDj2xc/NefTIPxa/yHHPAf05+FnNakiGtzk2CX4NNcBlXSk 3rxdTINra8k8Q1cdkPbb0wyHymiwftjs2226A/ox9do6+xYNthfJvJCjOKCc H0FNbBU04Hx6SjAx2gEB4/795Ls0wPd5M6/6OaBZjubg1WoaxCsLHvV2cEDp grYDvrWb9fhIs7IaOCCZk0ySM/dpcOhSWmvgJj9j50vTrR7S4PJ3Rvaq4w4o Xkvj6+tHNPhVHfilkcMBiZvPa2k2b/Zj84mbBb/t0RtX6i3cQgNQOFJnN2yP woPPsMg8pcG2r9ZTTE32qPtKyFOhDhosBEl9/Rdijwg3+Q7mdNHgeYpgkuNl e8Rb8ziS4/lmPCXd1hZxe+Tycovcnz4aHF4ql/UbtkO73pdl+b+mweBdIufb Sjt0f17z5+zAZjwpsT6NaDu0ZQet6u0wDVZP55VEHLBDhar8R6unaLB2MV3/ UYwNUjfEpKMzNEgxlX/Js8MGLdg5TOTObvbfWmETR7o1Uoy+lZv0lQZnn7nI 7KZboZEGaU6HZRqwNRWPX/C1QFynLm1wsdLhZMerHSKlxqhJYdEqZRcd/D4H TvYxGCMH7SuNjLvpsPidkK5uYYRq3IaDFrjosLrWbviX5TLSLXb+0ilIh/Gk 9OGvmvqIwhs9HC5Jh8bZsk8Jey8gr+IMtmNn6fAqluWTSLgq0j1Vjl7J0iF6 6Wwf87gy4lLrLz2uSId3w5OXnmkoonxfIf8BdTo4MhdOeGhIoNqOjp2nrOmw lboQ+EBHGGcavFMctqXDDYOQktVaURwy+o0Q50CHSTIHU8N2Cazwg/e/EddN v/zQaI25DO4U8CxO9KdD0NlVh/tWyng0kEPhQyIdZHzuSFdtv4RbNoR9U5Pp UL38OsLVXRcXJcvdlE2jA9ef8pMTbXrYpdB+OzWDDq8n1lQqzhrg78/rBs7l 0YEhVrWiueEyHjDp2jZTQIdyubxjpQZG+MGH0XP0m3T49jrkEnwywpHLzEWf yung/EIqR3m7CWYRNvPOrKUDx5ywUcBBMzx716sQ1dPhdLJL82KuGX4uF/tm 7iEdtNxS9mdxmWOa7h155cd02MHc08CzZo4Dhlu8vmA6JEzo/h12scAmTm8K rj6jQ6Bdj1JKnwU+EP6HeaGTDr/Io0GUTEv8b+se+ZweOux2VjPDi5Z4Iv2o l9oLOnyv7tr7QMMKl5Xqvr7+mg797EyTLfNWOEnCkfniWzp81Bb81SJjjT2b QuS+/0eH532fxy2jrLHEq8J89fd0IFbus9X7a43fvegymxmngy/+XnH1rA1O 6FnkjJ+kw1+XU4Op7jb4TCfvC+GPdDB3cDAWy7HBo62Q+OwTHT6wuSl6tdng xCduyvZzdEjOS1LSm7fBko9p6xtf6FDTQyvt32WL3z9qqM//Rgf6VJ/lwglb nPRgwlfxBx0UHBg/lV2wxVJ128VGf9FBlvOw+6qFLR6rlpgOX6YD61vRwo+e tphSaZa/f22zHw7hj56htlj6NtGs4c+mHjpPT6URbfF46S1O0w06LLzo3akd Z4uTb/b3/mbMAEJkSXE52RafLVhJyNyaAUNbE5tLo23xRO4hZaltGZBZ4Vuj EWSLU65prL/akQHecSrBma62WCaLUE9gy4AIvemsNGNb/IF+zZeDIwNy+JXO yCNbnEp9Ilq1JwMefBf/d+OILZZNmZ3S4coAg2vWFzGzLZ5M3J0/vy8D/vVz zZRN2uC0ODmz5P0Z8JRvWsuyyQbLxdpxivJngLq+tv90ug2eikrq7RTMAH5d 9VktOxtMDb+X4HI4A7I/vmi/Km6D5UOGgPlIBmhZyVYP/LLG0wEM68XHMkDu UdZr1kfWOJ0gUq8imgF8R9Y+qodZ43Pe+r4fTmQAc8mto5lnrTHNpXBK8EwG 5KdUV6XetMLnHbvyHktlQFmnzz+Dy1Z4xnbR1EomA04GyJDNGaywgjn05pzP gE9Pm/Nc9CzxJ2O3BDmlDIh7pniA8t0CZxhuzh7IgNM2LdeO0yzwrPbEfa6L GSCvOuHM02qOr2hs963TyAAZh4GzFFNzrHRBQtRQOwNecnszNsya4UwlYl66 fgb08+oLZTCaYThzKGGnZQZ4bn8adZbDBM+f1IDb1hnQbJElSkkxxtlihDV1 uwzQl+5/cYrZGH8RfuIT75wB7ycaeJ8uXsbX9tmZMhAy4MnnL9JaFQZ4cb1A ZCkuA1a9Nu4fIGliMefKZ66JGaBUE7lsrqeBnV42/K/h6o6nwovipIESlZAQ kbIS2ese3sOzPZvQUEJLQkKKCknW25NISUsZqZ9chYg0VNJSyUqoyB793p/f z7n3nHO/3+/93HMD35/PA5U6FQ9PeXvcWfAqpyYrD/7YCXmuKiXiOluR6RRm HrSInnUcDUc4Ozv0qeSNPDg6yd49EqGOm6eiQpJv5cFQxP4V9b4qeNGeU/Oj ZXkwdvdPKjVDDscaMPU6KvOAvXd58Jz6n9rg909ZXJwH3QqyvF9TKmirqk6E xus8MLg5y/yQa4HCMk0Xc94K9o/dS5UftUKF47b8FZ158PPcbMK1K4BkmoPb f33KA9lrdwNbp23QwsEcs6q+PIiP2LV7LsEemXRw32z+kQffNp/ZRaCSUBS6 dpj1Mw/UDFSWzpY4oL5VjwsTf+dB60CKE2pyQm1VY+KEGYH/v/Ruff7aDS1V FiqumMuDgcHKe2qh7gjOr0Dq//JgVV/DTbWv7qhix6ZjYospcI9zUtSojYy4 Qr4fX0hQgHLducUkwxN1hIfEWEtRoMCLE6gy5omkXh+RLF9NgeLfxz3D/b3Q 2eJ0Al1WsH7DSaMhRW900PHB9UAVCvB9Ix4XnvNB33RN1ouoUSDotlcE8YsP 8llblXFNnQKRz/cFHzP0RdZf74RPaFFAvk131P2dL6pq1H3P3UoBUtnTuqGN fkj7+k0SQY8C35L9zH9H+CGZ2Gubc4woEL9pxm/lbz90YcdmhpEpBTzXv94j r+OPhKyLl342p4CECa8/MtQfxaqrxp6xogA5iTS6nOuPfi6/1KthTYH0q0Zy fW3+aNcfJe+XBArUit46MTPrjzo6uA2xdhS4X2TymKgegJxq5A0UHShgfvDX lkfOAajuErOo3okCUzV3Ig8K3mfDNJk1Ea4U+CXiMEDICkClB6kpUmQK+F2J i7C9FoCUPVaPVnlSoG/rTNCRugBEM87ZHeRDgReN+yrrXgcgccWVr0T8KfBI ctkvk+8B6PSiTCjdQQHjOL5050gAGu8XK3MPpsDDRZL/8ScCUERb2obJXRSI q54SzpoJQF/uLsnmhVDg/VNEuSrAXswzC4RQCmQkny4cFqxvOSl8eDBMoI9G 5NCeXwEIhZz6nHOAAsv+aVaJ9wSgCtK8s/FhCjTuOPJs4E0A0tyaUPM5kgIP LJ+kCD8OQPlrprXOHhPwR2bd9b8umEemYzmasRTQu2H0YCInAJ3v+iv+Kk6g Z+jjhK6oALRQHxV/PIEC4TYygbLkABR97fcPxSQKIEa2dYlWAPqRddi/4TQF XG635jEXBaDg6KHmiDMUoHZ4GP5+64/e+EeYrEoVxMn6mfeK/VGtWqhs8AUK pG0Zcblv5o+2i/ekLs6igPXcXM9SIX9U8mv3RGmOgG/D8+cGH/khyoOgt5M0 CriOn/DKN/dDogUfiXymYP81zR1pY74o6Zx/BZFDAfzOQG57iS8Kc/em5BYI 6mcf3Coq6os+G75eZFJEgTvh9i+dyn2Qx3pyVFcxBW6pXa1M2+GDLPucyVrX BXpluDmqFHmj1YlEycZKChjSdT6ckvJC6bsfJx2oFui1M3pevdgTzdvByKr/ KJBAjpi1NvZEA6ss2oLrKGA5GPRB1ssDPby6/cJUCwV69m70049yR4+naR+O tgn8tZ6QcmXaDT1xmtL4+YICpUe1P0Uud0PPf9U0f35DAZHQhkCFTS6oy9hu aX2XQB/HI7kuBg5IqNkv+eIoBUT38DmzXYCIAyePb5SnQuQT+bfnCeO1JLOv TzgKVEjo6L8os3UFds60kVm7gQpTn1yW9nTIYO9tyyqXqVGB+SPwxJ0Najg0 Lmd0SIcKMZFvWtKK9XGaaNGhe9ZUkE/TfXQ9yxpnBix5uI1IhXD9Sy7eF2xw zo39K0rtqPBK+1y23jkCZrprX+c6USFf7aGmRKQtLmFWDiR7UyHqTF6p4QYH 3LKlOcQ5nArjaxqmFlrdMH3I0uz+ASo8zAD/Qlt3HFJWLqV+mApHXJ5Hqhe5 4znj/If/oqgQt5iRXupLxk9npakHY6iwmujkw7hFxnScEfH+OBXOb+LPWol4 YF37WNnyRCr0mZakc4o98Jz40PCGU1SwTa1NR2MeuPn57obMZCqsjO7NS7Ty xHt8XI6GplKBpaNjWdTmian71FrX5VCBGh7p2tXmhXdpsC+l5lFh2wvRkTPL vLHOsGTcGJUKp3oOXbxo5Y2fRM+qtbGoENRvalN92RtTTI7OmnKpoJm45NuL 195411zfqyt8KuTF6lNMhHzw9Jn2pNNFVOiIC3837O6Dn9iTvIeLBfWHX1/c HuOD85bXagWUUOGc6KeCGroP3vli+6KmUiqErDWLSa30wdqUa53bb1Jhpm5L Q9YrHzzls+F2wW0qTJSc4rwe9MGN8rRzEnep8PFHfZCnsC/O6xIPjK+gwr4r Wx+vWOuLgwtP6/dXUeH7xWtvFjb5Ys3QCVGv+1RQiHg0vsXAF09qHPxS9x8V BquyPmQgX9ww/K1Sp5YKz92omWokX5xzxzeTXUeFo8bU8AkXXxwU07ZnWT0V 6GkBqsJkQT5Tgml0IxWUcpOwrQBPzFVLfmuiwj1zeUajqy+ur9va59JChaFb x31SHAT5zl6uefCMCv4+lXMnrX1xIEmesvkFFbRcd318YOSLNVbkhFNfUWG/ 0xK6uYYg34slIPyGCpUS1Soi63zxY0qCzOEOAX9RuQ3SS31xtu+foQ+dVFhh qrY2+rcPDly/v97+IxV+ZA1Mq3X64C1fPrEqPlOh5wS/ROuhD/5b6BGp8pUK RcZXizPzffCj0Ga7rG4q7L3mXe98ygdnaVopzvZQgddrqHI00AcHjJSP7e+n Qpm4s9Y/Ix+sflej5c0PKlw94MiaW+mDx2LyC6yHqCBniA8d6fHGmfMZLuv/ CPSbDm18nuaN/R4JqaWPCe6X2uaaZm9vvOlc7MzfcSqsP81a8FDxxrUr9lx9 PkOFY89D/I3ueOE/602FUxbT4FuBw7hcpSee2qF8U3UZDcptIrNTIjyxEHeZ f6MYDfK5t6yDFD2xlEJHmagkDdKtVjyhJ3jgbQrHdmWvo8G9Vp2x5PVkbBIY sEJPgQYvmnDu+4fuGLjW1e1KNPD69Gx6ebA7dleQkpJRo8HpGqPvsdvccKTC TczdSoN3LInAjkEnHBdIPWClRwP0V+FqvJQTPs1NkP26nQYttQakFn1HnKPg eETVlAYSIhr3Rg6RcJlCv1IpgQZpSdb0iUdE/EtBJemeHw1K2zt/8BdM8USg qKb/DhpQC9THdvwzxgvcX29ngmgQ/77VrXXeEK9UrNWxCqGB579/3J6/enir 4o7PDYdocJRiXPHvqio+rEizaE+hgZOTfa7jtXUoNihx4Ng5GqhvfeqQ1amM kngh1LXpNCja0NIi0qmGshT1h/wu0uDGI7OIkCZtdEvxBecLgwahcFfqkLYR GlYUmx26QYPxNuG05GgbdLblTeru2zR4q7CXs9iWgOSPF6zuuEOD1CyH4pbV RER6aayJq2hwsfm6x6NiW3Q5JdQ/t44GV+tvHf14hYTMdfV7l9TTwDz2yex4 sANq/zgfGd9Ig5gaPvXSGkckZEhLD2kR4Ge+tjuinNCO/vp7hm9ooMPsC7YS cUWjlGxCaQcNBh9em6znuaJ02PFC6b2AD/l7z2wN3FAVa7RvWRcNOhdqryZp uiMXu9qoxK80qHBJ/X3+iDvqGT2/8LubBhHPBiyi77qj1c4qMh/6aRDiMl/z VI+Mrk0NXXIdpMFx+5zszYfJCIqrdeqHaKC69uNlhxIyOrzgZnvjDw2yDRqH Hq/1QEuur3+l/FfAD6tHSNLBA3F9+wNpE4J6Hs/Xi8V7oKdlSdFJszT4eHDe 7+8bD7QryFFobJ4Glxjnyj4teKAJMZnM/UJ0aNqgHr9b3RNdrPom+2kRHV5S JyVOOXkitZCbRe5L6NB9/oiU/mFP9J/kCd3GZXTwX3s56niWJ/KoIf5nKk6H rpFzUc43PNGPMCn7WyvoELBpFedWkyc6vfZT+0ZJOngfim7gfPVEso+vBjNW 0cFkma706klPdOvwscHl0nTIsNg0L7ncC9muR7GnZQT4xHVEVfBCn5rEF43L 0cFWJP0HT8sLHYvuuBi+ng6y7j+9tU28kLhK4bouRTq0Ld2pg2y8UEHboWIP ZTqU3ri+r8PBCxnHm+o1baQDY1ml9airF3quvuSh+SY6KCEXMoXshfa+fkkq 20yHfY0LkQ8EePYU942aJh2mV7c9DXPzQnnaYbtY2nSYgaGX+Y5eSOP99iEJ XTpMZh+x303wQnXn/h1P0aMDDIyY3jb1Qr76rSKT2+mwf6+qUKaOFxrpomcf MKLD17F4ixklL3Tuwp71X03o8Eej6OOchBdSMNl61cucDmsclkszZjxRec+0 /lNLOgTlB+171uOJHHMbay2BDpb2vxkFzzzRN8tcx7s2dAgO0amRveuJ4gYD O9Rt6XB+cFTDiOaJigl/hyUd6WBX3lGY4CWIH9Rzu+9Mh3SRVaXZOoJ8tMNl e9zosFBQ+mtaxBON9A1EVXrRgeJz9MlIiQeqk1R/E+xLh3q55CXnj3ugPJMQ Q9EAOrRoK3xiEjyQUcbnyYCddJDO4yZbvCEj0XJ5/8V76LDzns+jbiYZffjo ++DmXjro3XY5rrqDjE7ptCcKRdBB/UbMQ26nO2p++UT4SjQd+hb/ohsddUPs aZEQt+N0SC1NlTzV4YoObrRumDpBB/s2b5Fbxq5oVfR/qU6nBP3PE/s3jjij ANmy5X/O0+F+N63OcqsjGgpirbXIp0OCyt+EnWuIqDa1I7b3Eh1yLROL7xAI KOf2ms6sy3SoHJJYceOoDTIUzmJ/uybwe9myGJkmQEmXUzakVdDh3v01sVFV Zkjy5wGN9qd0YGs8cFeV1kD6cVaWYX/pkEQN3/xxSBdTJHYl9UzQIS7a3N0w V0/wXiXjXdOC+lLpyyQ0tuOqtgZr/wXB/ZApC9jsZoTNVZ3sHEUZ0MKI21F3 xAJzqw+mPRFnwHjQqesPhy3xgktWs40EAyQDtemu+xGui3vlaL6aAV7lLFkL dWtMfO7rpq3AgLbQlv1rhwm4OORETokSA7KUv54RYhLx0mn2KzUVBnAyNx9a Dra4WbXLU1GdAbInfOr00+ywy4m9fiu3MSBpA5Z/+IuEb61MZWXoMyA18g+P leyApS5f/bDUkAFOi5sklkg54vbng4H/TBlw4PZYMWmjE/ZRO7r7N4EBK+9M 4U/yLvje/bzCg3YMeLeFdi4t2wXLuVV8HyAx4G01znIRcsUfTkzu++bCgOp7 W+Zn3rpic8l1V4PcGXB2cuRYq5kb5l42G3jvwYA143c8z3PcBPPUyYh2XwZc tDrO9Njijuv25l93DWDAfka9aZyHO944UzfUEsiAaHfm2+R4d3wmu1vHficD IrsVww8UuOMetcVH6nczgDXwx0ivwR3bPthUhvYyoHXiZNOLXnd8xc3+z3+h DLh1yfYHYQkZh8VnHKs4wIDKM7fiL1kK5lfJGxXbDjPgTcL6gXM+ZKxZ3DZ+ I5IBC3fudxseIuNMs19GGscYsO/GT/btZDIefiEVVxzDgDBrUvofChm77tO/ rxLHgNes0vCZIjIum/Gc4cUzoMnb1PbpHTJelRNjLn+SAcc694YFPSTjqE2M RPopBiTWftpf9YSMXz+ofrg6hQEKZxM3vGkjYwP3DwtZZxlgsUf3blU7GdN6 Z9HyNAbIhLeeD35LxhPxislp5xmQ9+27zzMB9pVCj0UyGVCzkCcl/IaMq4t3 iZzOYoDOoNnf+RdkLG+eQpzLEfjL2Opcw1MyTnhZdC6OwoBTzbczfR6R8eV3 nS4DNAboW0i/+l1Fxs+7JGT8mAzQ3MEqiCwl46lem64mNgOCS4QOdHLIeOPw 8SvGPAaUrJzr0rxAxs5/bxy+ms8Auyb8IyKOjGNmvxnJFjIA/cus4oSQMX+R 7L/UywK9nQ1v1TmTcbOYc9PEFQaIizBiP28n41Gp5OzQaww4cXb16LgcGa+X q/LtuM6A39lTVivn3PFhdeWByjIGjPwNHnGrccdMHe+yTeUCvW6Xl6ew3PEj g4w4WiUDJn42r2yOdsfShL+iMQ8YwCPvqMvf5I6tHDVe9dQI9HmrnxQ/4Yb3 k4NZXljAt+pm22V8N/xgZ7OGQQMDlms0H7fvdsW7ErmOY20MkMsvV28HF5xx 5tXqkJcMiCKba4q+dMblGUs/trcL+rcU+Ta3wxkvZUUeuPuOASJ5SZK7Ipzw jUpi5tFvDAgZCot6uccBd9Sc8Pr2nQHPhyPjat6T8L/6WwrkPsH9nj9i/9OF hD3a5W5u+8mArf299v5b7fHUyFDbr78MmGqdLkp6RcTELTTJw6JMaDy6T3Y+ BOHP7N68CF0m2L5zze6pVsE2SpnbJPWZoLHsiMPYJkV85ZL+83IDJgwd11X9 1ymDI0tOic2bMmHXlX0DeUmL8eKqdaeziUxQ0sbJmpUSSOuVy6EKfyZ0SVNl zozqohyvv+L+gUwY9P7wLiZWD/19xy6ZD2ZC4sGwpNO/9VFtV/93u71MyBS/ wXf8YIg8hpID3h9mwsA+i++6p8zRiWVV9gtnmJB78FuP/qgN6soI7C1MZcKI ObtMLpOAbFaKnLE/z4R/yqv9xzcS0Yq17rU5WUzITuw8S7S3RQUbBw1UWUyw L48z2xpmj5ZcyWlv4jCBkpR7679+exShYRx5kM8E/eLuXbdDSMhg29nrlUVM 6HN8uvSCuwNqslTaSLrFhJYl9Z8S5xyR9qMGPFTGBGdW26rCICeUQzwQlFvO hBufU2XxAycU4FTN/FDNBON8LZeKMGeEnwcbnfpPkJ+3tuP4fWek5rHkjWot Ex5LiPSILXVBI34ekofqmXDxP7ve2DwX5Plp6saqJ0wQkzVZbtPugqp35jtW NTNhskdUsUbCFSl+tx0IaGWCJxLCXURXlBI6dO5fGxPaz2QbXD7uivp/5Kle fsmEIL+OXcuuuCLnQ6aPSK+ZMCUh1STy0hWV/f4SPPxWoHfQYAZt3BWtjU6d y+1kQltCY+R9GTckundVvNhHgR7hNjZX9NzQnCd38vRnJqyu5aaUk9zQb8Lm mKkvAv2P+K74usMN9Wy/O3qkmwlv1y9s1zrghjpVLSP7e5ggsW5JMzXWDT1b 0zwc3M+E09fZUopJbqhOxPNAxw+BX2LCXzQku6GKsc8DLkNM6FB3RhcFuOR7 WGjjCBNepI6uiTvphrivx75b/GFC2fvjJ9Ji3FBOfdLuijGBvk8G19SGu6Ez 5WJftCaYQGx8sqAU4IZii6iBRVNMuK6/89lNOzcUQdnwQX6WCXMbLM4d1nVD wWdKffPmmeA0FXZ1n7Qb8jhm+FZMiAXPZCs3MQV82IXUeSQvYkHcsb7Q5a9d kZmn08upxSzYc6iL2HjDFW0ldLhELmPBgZmy5c9SXJHK9t2t/WIsSDS6Fafu 7YqkVYdIO1ewgJ0TfP+jqisSXXP8ScdKFiy+czRibMQF/R7NfNS4hgX21acr I+JdUE+3LLKUYcGnw26lH81cUGd7YU2FHAu0J689fjXpjOruVt8rUmTBilMH C6L3O6OKQoLhemUWZLp/ETWSd0Ylec/v5m1kQdoP6c7ip04oO6rnZvJmFoix 3qJaJSeUsueI1rQGC2yj6mhJDY4o1mOmJFKbBQmSY08V9juiYH2pyzv1BLhM iaxe5IC2jpqzLc1ZQGp+umhw0h5t7H4iW2nJgmpmyMfVqfZIpp1M0wYWOIfc iz2/yh7N39mfs96WBe5GXsJ8ZTv07CglddqVBavqEnvVVYiobrfS4qNkFuxK DFRJ4hBQBfla8oAnC74plcZfWUNAHD2c+M6PBSfGH665M2+NIv4MRlXuYcFV xTPm7jEIiR212Xk0lgV/Dl8oUn5liEw+W91VPMGCGsf6guhYAxTmYL6kJYEF 6455OMSs246eqBhc35jMAjfOgoij/zaU0r5p8vUFFrwb1zjTfmETmtsulm10 iQVy+/8OyX/+UqtVsKS7u4gFGifeTydFLtQGrFhkmH2FBaJui2tSD4nj6p6Z D/3XWbCvW131fZAcjqENqbOqWIApytuyt27GIxMvamdbWaCg27BjSsEIK4Y8 W1XynAVTkb3XLwUbY+cXzXu9XrHgkI5NfQDXBJdefSR+s4MFY4ojxi7LzfF+ v3Kf4G8s6I9oPJ9zF2F6w+1r4j0scJKjpoiGAX6y7cZcVR8LzI9qD2j+Bawm VlwoOSTop6DyuuNiG/z1Pn2kboIFvR73b84LE7GkOsX60DQLYgrDx16fIGKr vGzqujkWNK1b/u70CBFzI9LNooTZMPbq4DmV57a4tePsRaXFbPjukLV6ysQO z9gkf21ZygZ2h+qTiAI77L8+PlV1BRtOD3g++LXXHqenxb5/sZIN55T13g48 ssfVY1HaiavYEMbVeu60noRlnh1ofyPDBt47xZ8b60nY1iRsU/I6NmyvPLw9 ZZUDjr68N05HgQ36q6SKVQIdcHtikFKqClvwfu3fM9/rgFsCDk1tUmPDiV9N u5erOeJHJifbG9XZQH7uWx4Y7IirZS7e2KfBBthn0T9IdcRlf7mpS7TZcD9z cG1ZkyMuab+xq3grG5QVar5emXDE+WU1ZrZ6bHh262hUi4oTpmc9k+7dzgY1 7UunZByccNbBTyNnjdiwYdUq+7SDTjjVcahZzZQNzdFCeesynfDJLXOFDeZs uPlkR0XLVSccvXTFyb1WbFAndWUysRM+2LPed7E1G6xslc8lv3bCex9r6V0m sGFidV7u2e9OOLDAfDnRjg0tH0P0Lv1ywl5JTr3fSWwwsQ84/G7SCTsF7sBn nNjgI57zafOcE7YxO8BSdRWcL0qNTRFgM7mEY/XubFg81+GqMO2E9ScyXEI8 2aAlmaPV8McJa75hbxbxYYPtVMePi31OeOPdUuEiPzYgY8PWxHdOeF3Og482 O9hQYJvGpDY4YanDLZXdQWzoHTW79P6mExZ1/pCdsosND08kPHCnOGEhzcHw jSFs0ItysvoX7YQnl80QHu9jQ1FLpvhPDyc80iumtCdM4I/RiVPyOk64r37d lPABNhgFz56mijjhrksa7ZcOsaGPxYzc1eGI354yvWEdyYZ/Mgp6qcWOuMHc f1dyDBuE71zbKGzqiGvWhZupxLHB7PV/6WHzDrh8Mk76UTwb7u1sV3etdcCF 5cxmodNsoAYqXnto6IDZuSWFBSlsII5/SgkaIuHcI9WJcI4No+J2iVfzSfi0 Vue20xkC/aO0iyLm7HGc2IC48kU2nPx2y22+2B4f6Z/swdlsuNY/t/aQsz0O LpJl/aOyobj07pn1OXbYYr2v8Kl8NriSk1e6/SVig+nQj0qFbPD/d+vRnlQi 1noXW1l7mQ1Hd2nef7aWiOUp9PCFawK/Up/39mkT8JR4x6uTFYL+/Oyclays ceWMV2HiUzZERtej+9Om2MLWIfBXKxsqvopyNg6b4MfZljJ7nrPBT+Je5Phn Y/xcTT3D/rWg/yCtH8HVhnjAdfLo6s9sSPra7yzspYcViljWJb/ZoLFX+v3W DGVcOHxxVn6MDSn6c9M7TypgDZOUyovjAj86rEx72iOLjdoiNI7NsOELlyEh v0cCu0+ar7JazIEvu9cXPksftjrr1PX1tSwHrscI6USMqiJxejvbTp4DUWc3 PqBrqKPcr0+87itwABd23tcP2oL4Mbeb+Soc2NJiY3i7WhtV558uC9figFzB N9NWrj6yGoyO+KTDgWV/2souXNmOGg3C1dy2cWD368cGKTcNUPtTMtPAkAOs xGk7xl0jNDS28fQ/Kw6cLbzTpUI3Q1FWsmZR1hwo/dZ90D3VHE2nL//bQ+CA y4nCwdYoC7RU6e/+FhIHou1eDVmCFVImNbrRPDhwJvGbmsJbQFfy7ouJenPg 9mFj7oyFNdL5fLM+3pcDTUoFTHahNTKLohvvCuQAaTtn6E+oDfLk7t+gFcqB wikxx/Z2ApIOabvVHsYBY9Xn4vStRNShsd0q/gAHatJHjnulEVHAvYXAp5Ec 6GbN8Km6tkghae9Q5DEOaCjsUBY+ZYu6iC0JcrEcUD3N/2LZaov2tNPY+xME /NWZNC4KsENqrFkNySQBX0FzR09w7VDfzt33q05zoDf+4gHeRztUot5ECj7D gUW6uzX2y9qj8GHtziWpHCDkdeS/cLNHmhV5+2+mc8CTLmT98qw9GoqfmvC6 IOCrJmh+T5U9ihRtWHs5hwP8NdQlGpIkpP9Co9iJwoFNATO3PYxI6C8t22CM xgFyLG/7rD8JVQWO17OZAn7PBQhviCeh46o7PG04HEhIIy3/j05CJoN13T94 Ar4bfzU8u01CM2XqUbkFHAhrO6zq0UhCNcczhU2LODAiepHn8I6EkqxGc74W c8Bg7IHW3V4SgiV+yuklHOgf/Wd/4TcJLXr28LbudQ509r0dfjNJQg15qujd TQ4IR46ysmdJKNX//POkMg7wxBccagSYpPwrSL2cA7HCpomBUyQk3u813FbJ gSs7VupG/SGhZzcfJMZUc0C/nfr1Xx8JXYxWXqH4HwfOD85fFH1PQq7mqZyG hxzY6jF2N7uJhKQWDWkerOOAFLubxLpLQu3N5Adr6jmgFGX8RINNQtTsew7/ NXJgQ8ZZRbskEvLxUXy/p5kDqSacmrFgEpJTPBMm3irwj1zeBRMLEvrwfWDy Tpsg/vDBT3kZEuKWuqb5v+RA8P3UqktD9ij4aIWM8GsOTEgGWrzB9kjZRP5K yVsOCAX7Ex5k26Oixt6GyQ8cqPAV03+8yR7tzXTyyv/MgV/NzL7xn3ZI3fPO d7uvHGDObywXum2HSr8mLqL3CvyS4Dtdr2WHDl7tzrUc4ICjTHJFbq8t2nqY pNI7KKi303bZbq4tujO7Bgx+C/x2LPfEdmFbVC1z/WT7DAf28Z4VLb1GQPGf pSTi5zmg5mNGsnQmIIvLsVwVIS4IPVmb/HnIBtXp2fwXuYQL56+IZtDUbVCT 8/uplVJc0BneqJV3EpDcadWw86u5oD0R32a1FlBY+aF3Imu58NKis0jHByFx +UVVU+u44C2mbipcZImc+zWPdatyIXp+rT99rRlqT04crjQWxD8vTcmN00dd VRu6A3dywXOLGpphCSHdwXDyu91ceLp33QGvC7+tTitW1JH3ciF/+NpXRkdc rcpZUr5dOBf+C/NWaisWwnvJRwO3HePC+nUJobHNcnjw5+MOkTQuEMWkra0C tLH5Bgm7pPOC/F+ibzqStuJMD9/KqQtcuKtSWvJTbhvWuf+TMpzDBdUNZTsI s3o4MlWa/I7NhVt7XuP5fEM8oRzaWnqLCx8OPrjzmWyBJZ/UP5K7w4XH2VvZ MtKWeMsBlerUci483G2umtNuiQMqP13eU80Fmv6a8t8EhLGDZ5L8Y0F/tsf2 ys8C7hwpi05v4MLmb28NlZyt8Shl5YGJJ1y4J/3jzF+2NVbreurb3sqFd/t1 b07o2eD0KNDLeMuFb1G+kceIBHxJlr956h0XTjD9krXOEPCDmlnF0A9cEAdd 6glMwENL74nbfBHkd1q3FG8j4iU3pIXLvnHh1duI5tJ9RKxEjppU7BGcr9vA ay2TiMkcnZ7pAS4E7/vb5zFOxBFw4cP+n1wg7wx7rKBsi8/2Drx8O8yF713a qzxJtpiXYddE+M2FgZvxi0cP2eIq3csP74xygaXWqDiRY4tfvBGu2DDOhaWi S3UD79jigRM7Sy9OciGt4V+AygtbLLzhYcHsNBeK/8asJQzaYvkGeUb4HBfW WgWq4kV2eHt43MV3C1woi51lU+TssPPKjjO2wjxIXy/RU6tlh/eVb48vF+HB 71Vt95CFHU7yy41UWcoDnWphlbWOdpgxPxKaLcoDJdJMgpW3HS4rdA6aF+dB W86Z2P+C7HCLfannAQkehC19LZkZYoe/Dy1zfC/JAyuTMGZZqB2ey90H9qt5 IFvac0djvx2WMa43qpTmCf4vH1yn9tph3U/KOqqyPFALzr6ruMsOk5KTVHPX 8eDIyf8iOX52eLf6p3X/1vPg/T3jQ8dc7XB8q6nUISUeSPVe/XjV2g5TIhlL PyrzYBFzHTLXt8M31o7PkVR5YDrDCt+mbIcbH3iMVW3iQc2hxwkZy+1w186y H2pbBPtXWvQ4/7XFU4tXfs3T5MEmObOdCR9s8arSAx1COjx46ftzfF2tLdZ0 e/rssC4Pxq92z2vn22LiX/X6T3o8OMaJlbt/0hbHWnXfrjYS4I2Fye7bbXH2 d3RF3VTQfzw3LVTcFpek87hUcx7MDSRILP9CxB/a/c5HAg+W9F1Ql0sm4rHj Vae6bHjQKjp256IrEa9QlI51tuWBt+vw9evriBjtf7FniyMPfpQEv50vIWBq On9rqzMPRI9r3FsTRsAD1w7NHHLjAWvxMdNMNQLOGVqeV+7Fg5TpilMvaDa4 +yjpkdVOAT/l6lkfAqyxEUX24rfdPEiIqD1itdQaX6jo8zu7lwfJISVWe24D Npg8+/tpOA9cdCYDLSYQTk18tME7mgfyJ6rj2sYs8Adezs/JWB68kVMqyNKw wLp45z32CUH9FQ2vbu8wx53CC65fk3jQP3ih40KlKdZMM0s6cJ4HrxtONEoT jPDz3PJPyXwe9OppvPher4M3lqeUqF0S8Kt4bSzmvRY+/oYc3VQk8Eczsbrv pwZWlv29XOIaD/Rzft84KaqOo7ja5sxyHvzZ+X7DWXcFLHO1mHWrmQe30Y+U RxM/rYJrGD4fR3nQ0HlLTHnDNmTj6LSIPM6DesoXIdWxbWhT58LNJ5M8cF91 W+NJg55gftq35O4cD5pWBjZk7NqOTmgZVKQv5cNBn3fJkceNUOD9/p0LonwY NpU37DA0RmDPWR69nA9Z0f8+K/8xRktDFoXslOLDrfSV7SuDTRGV/XKVkTwf jJrdaGKSFihuy9mH1xX4EHj263H3uxZoR5VxuMoGPmz6OQEfyZZoYzu/boUa Hww3LH8Wfc4KLd3lcTBFnQ+M3o8/d61D6MfwErmpLXyYD7xzx+kaQmVih458 1+HDnOCvcTgYEJWhvN5/Gx8OZAXP6xcAOr7pzZPn+nyoL9u+pPMLICtrc6UH xnzYUZDaUeJnjVRejDzVNeND6s8Xp5tyrdHioMKYYgs+9Pm8u3ej2Rq1xom1 5VjzwazsMrdc1wbdWvowbimRDyIF9ftbdtqgPGqkWqIdH+K0ImdzL9qgmI1q L/+Q+KCm85W35L4N8it7l7DfiQ/5N6lflLttkIXVhc2fXfhwiN/M+SJKQBue Wb32cOeDtG/HlKUOAfX1F2taefOh62RxSethAmqJ8e8o9+XDu4mmx38vENBN EYkUjQA+KMpKSdy5QkA5uXU6+YF8sP+morlQS0DRG6LfS+/kg9CfILEPbwjI 7+bmcxm7BfkylvTbDBCQufnHbUJ7BfrZeTsbTxOQ0tOsTzGhfFD2pktWLSOi Rb426T/D+JAYpO5Vu4aI+nrGt+8+wAcH4dgMN0Uiehp17UvHIT7YTM8fCVcj ohtCQRecI/mQ8UVTcoUGEeVkSRk/juLDoyKEjbWI6JhCQ7dxDB9Q+Va1YU0i 8ik9nnXzOB/gc/hWnS1EZGaiZaYaL/DXbIn89EYiUnzS1ctMFPB58OpRj/VE JOSVl7vyFB/S9nYuM19FRD3fbC3PJvOhXHP1fMViImo6Mj0wfYYPNPttNY/H Cah0/gb1SCofXB/cmAntIaCsC7ugN50Pay23VV9+SUBH10kPBVzgA6d8ndWp BwTkdbWJ8fIiH/SezSnNXCIgE8MEgl0OH8g/ZI3WpRFQR4KN5hIKH7T7Gb88 Qwko5rHYqgYaH/jPfZjXbATzvdiryRQmHz7EzDUrKxDQXTdmlzWHD2tSB1Lr Rm2QO31noxCfD3aF4zY5T2zQr0/qN3ABH440ancyGDZIO6LyhOUVPuiHDi2O 1LNBLWWJu+ZK+ODJ6fHzmLFG4ZME+/+u88HKtns2u84aXTnbLm16R3A/jE/9 IdpaI+X8X7cNagT1pk2e1W0DVNtbRR+r5YNP3oKkcytCQdpJJ+8+4sOnU7/U Tm1DiH1/hdO2JgF+8sL63LAlkn6j0afVzgexD6/mFgzMkZjYXgXVAYFfnv60 /7vaEJW4aYl0D/Lh515Xi2gwQHb00R8Fw3zQ0BxoNzywHZ1VTb6nNMaH7bMX tRbf10MLlnwP+QU+jAc/npc5po1GozrTV0nng2SGepR2xXqUcz//yEuZfCD4 LelvmJVFukL7fbLX5UMZvTXZxFoaHbw4riqxIR/65ZuP/c4WQ31XV2NRzXxw Nzur+9T/W+3ZkffFTdr54Fp1N/kwZbJW1fBSZqpuPphW277QNxHBux7rBiw2 zAfpwyOtGsKr8ILoJNQb58PtOMfiLzelMc+tdnOKWT44WJ87POkthy3o51Za W+aDwWb8o2dqPf7wyXn8H8qHA6clPyjQN+D/AcFH/ys= "]]}, Annotation[#, "Charting`Private`Tag$8560#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.8837176480580683`*^9, {3.883717692050766*^9, 3.883717722110422*^9}, { 3.883717949566876*^9, 3.8837179569436073`*^9}, {3.8837193022389402`*^9, 3.883719305670232*^9}, {3.883719468726447*^9, 3.883719490908146*^9}, 3.883719601662781*^9, 3.883721888939764*^9, 3.883810169483489*^9, { 3.8838124370208*^9, 3.883812439178928*^9}, 3.883812602672359*^9, 3.8838126406661654`*^9, {3.883812832086575*^9, 3.883812838151223*^9}, 3.883812904902255*^9, {3.883814274211401*^9, 3.883814288199401*^9}, 3.883814686310783*^9, 3.884769158613853*^9, {3.8847745263666162`*^9, 3.88477455671101*^9}, 3.884774651458539*^9, 3.884774790970067*^9, 3.884775064853197*^9, 3.8847799008108797`*^9, 3.884844433934519*^9}, CellLabel->"Out[32]=",ExpressionUUID->"c72ffc59-be8f-4100-b372-149385c4c24c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"data3He1", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP3HeCut", "[", RowBox[{"q", ",", "20.6", ",", "0.03"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data3He2", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP3HeCut", "[", RowBox[{"q", ",", "20.6", ",", "0.43"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data3He3", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP3HeCut", "[", RowBox[{"q", ",", "20.6", ",", "0.83"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data3He4", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP3HeCut", "[", RowBox[{"q", ",", "20.6", ",", "1.23"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data3He5", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP3HeCut", "[", RowBox[{"q", ",", "20.6", ",", "1.63"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data3He6", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP3HeCut", "[", RowBox[{"q", ",", "20.6", ",", "2.03"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data3He10", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP3HeCut", "[", RowBox[{"q", ",", "10", ",", "0.03"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}]}], "Input", CellChangeTimes->{{3.883719850800653*^9, 3.883719902989337*^9}, { 3.883720134128413*^9, 3.883720135586239*^9}, {3.883814502128789*^9, 3.883814504255754*^9}, {3.883814691243874*^9, 3.8838147196798973`*^9}, { 3.884769169786854*^9, 3.884769171964299*^9}, {3.8847702801149282`*^9, 3.884770327360165*^9}, {3.8847745728459187`*^9, 3.88477461279918*^9}, { 3.8847799141990757`*^9, 3.8847799163431463`*^9}, {3.8847800875174103`*^9, 3.884780145716983*^9}, {3.8847802976815434`*^9, 3.884780307389687*^9}, { 3.884782230900197*^9, 3.884782294847342*^9}, {3.8847830571073627`*^9, 3.884783129757496*^9}, {3.884844442876685*^9, 3.8848444636675253`*^9}, { 3.884844664741947*^9, 3.884844677344377*^9}}, CellLabel->"In[52]:=",ExpressionUUID->"63a117cb-1305-4d2e-b025-0ad6c987fd15"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"21.125362051570516`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.000063204226483691`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"1.4208604462618098`*^-7\\\"}]\\) for the integral and \ error estimates.\"", 2, 52, 16, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.8848446829065647`*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"acaa67c8-da85-4329-9d60-3ef3e169e14b"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"21.125362051570516`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.00012552304813424716`\\\"}]\\) and \\!\\(\\*RowBox[{\\\ \"2.8264282143555806`*^-7\\\"}]\\) for the integral and error estimates.\"", 2, 52, 17, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.884844682922104*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"75f496c9-8be4-428c-8d7a-c312e1eb1bdb"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"21.125362051570516`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.0001860842161417684`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"4.20157462053777`*^-7\\\"}]\\) for the integral and \ error estimates.\"", 2, 52, 18, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.884844682959469*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"df80c598-6667-46a6-b3fa-e0b3f24f3318"], Cell[BoxData[ TemplateBox[{ "General", "stop", "\"Further output of \\!\\(\\*StyleBox[RowBox[{\\\"NIntegrate\\\", \ \\\"::\\\", \\\"ncvb\\\"}], \\\"MessageName\\\"]\\) will be suppressed during \ this calculation.\"", 2, 52, 19, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.8848446829693213`*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"d22b1946-3532-49d3-8853-906c004939b9"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "slwcon", "\"Numerical integration converging too slowly; suspect one of the \ following: singularity, value of the integration is 0, highly oscillatory \ integrand, or WorkingPrecision too small.\"", 2, 52, 20, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.884844683460519*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"bc1925f6-6acb-4fdb-9a4e-be151fa8aa8c"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "slwcon", "\"Numerical integration converging too slowly; suspect one of the \ following: singularity, value of the integration is 0, highly oscillatory \ integrand, or WorkingPrecision too small.\"", 2, 52, 21, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.8848446834964867`*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"b3b6984a-bda6-4380-8bb1-40faee5c742c"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "slwcon", "\"Numerical integration converging too slowly; suspect one of the \ following: singularity, value of the integration is 0, highly oscillatory \ integrand, or WorkingPrecision too small.\"", 2, 52, 22, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.884844683507338*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"30e991dc-8491-4a32-a8ce-7c38f95fce67"], Cell[BoxData[ TemplateBox[{ "General", "stop", "\"Further output of \\!\\(\\*StyleBox[RowBox[{\\\"NIntegrate\\\", \ \\\"::\\\", \\\"slwcon\\\"}], \\\"MessageName\\\"]\\) will be suppressed \ during this calculation.\"", 2, 52, 23, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.884844683516286*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"d3eac43d-3663-4397-b98a-e9825915d1c8"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"21.120275676099617`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \\!\\(\\*RowBox[{\\\"-\\\", \ \\\"0.000058775552471031365`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"5.887392200598234`*^-11\\\"}]\\) for the integral and \ error estimates.\"", 2, 53, 24, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.8848447060304403`*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"238e443b-7056-4cac-aeec-d217b810de1e"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"21.47660417973381`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"4.361906017626626`*^-6\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"8.17475684297471`*^-12\\\"}]\\) for the integral and \ error estimates.\"", 2, 53, 25, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.8848447066291227`*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"66f7af3d-ad01-4c24-a5aa-bd50ccc04b9c"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"21.47660417973381`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"4.0169802053430355`*^-6\\\"}]\\) and \\!\\(\\*RowBox[{\\\ \"5.703276400937746`*^-12\\\"}]\\) for the integral and error estimates.\"", 2, 53, 26, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.884844707220252*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"4c17cac6-d72f-4bd8-b09f-f5e1660e0924"], Cell[BoxData[ TemplateBox[{ "General", "stop", "\"Further output of \\!\\(\\*StyleBox[RowBox[{\\\"NIntegrate\\\", \ \\\"::\\\", \\\"ncvb\\\"}], \\\"MessageName\\\"]\\) will be suppressed during \ this calculation.\"", 2, 53, 27, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.8848447072290697`*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"00cce1d0-5c2b-4234-bd8e-5d86460a49d2"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"10.058349427430215`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.0029284941220377057`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"1.0120381711844385`*^-7\\\"}]\\) for the integral and \ error estimates.\"", 2, 58, 28, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.884844797226623*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"c5982aae-b0bd-4b58-a390-47edc2e99c5b"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"10.058349427430215`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.005844028038736068`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"2.021301193550879`*^-7\\\"}]\\) for the integral and \ error estimates.\"", 2, 58, 29, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.8848447972676363`*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"3cbdaeb6-aec8-48c0-8142-35c9a3701759"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"10.058349427430215`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.008733713325490966`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"3.0250212869381533`*^-7\\\"}]\\) for the integral and \ error estimates.\"", 2, 58, 30, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.884844797278644*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"ba052ba5-effb-4ee5-8a3d-b326d543b16a"], Cell[BoxData[ TemplateBox[{ "General", "stop", "\"Further output of \\!\\(\\*StyleBox[RowBox[{\\\"NIntegrate\\\", \ \\\"::\\\", \\\"ncvb\\\"}], \\\"MessageName\\\"]\\) will be suppressed during \ this calculation.\"", 2, 58, 31, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883719910539632*^9, 3.883721892681364*^9, 3.883810183675187*^9, 3.883812456027113*^9, 3.8838126456031446`*^9, 3.8838142911177483`*^9, 3.883814727194667*^9, 3.884769161759054*^9, 3.884769431068512*^9, 3.88477032793221*^9, 3.884775162823778*^9, 3.884780147162554*^9, 3.884780309327629*^9, 3.884782305365546*^9, 3.884783131376543*^9, 3.8848444683746567`*^9, 3.884844797288834*^9}, CellLabel-> "During evaluation of \ In[52]:=",ExpressionUUID->"19f2f973-6bbf-4a88-b834-2d1c1b31e304"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"{", "data3He4", "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{{3.8837190138043747`*^9, 3.883719031090042*^9}, { 3.883719077405293*^9, 3.883719083901246*^9}, {3.883719146512808*^9, 3.883719147083137*^9}, {3.883719324105036*^9, 3.8837193242313643`*^9}, { 3.883719560527952*^9, 3.883719573051358*^9}, 3.8837201251772203`*^9, { 3.8837204903826857`*^9, 3.883720492897325*^9}, {3.883720790657291*^9, 3.883720790924884*^9}, 3.8838145127332573`*^9, 3.8838154136877127`*^9, 3.884775491644857*^9, 3.884780453590612*^9, 3.884782447603668*^9, 3.884783270744548*^9}, CellLabel->"In[39]:=",ExpressionUUID->"763b3918-bc83-44af-84f4-82b8d9fdad84"], Cell[BoxData[ GraphicsBox[{{}, {RGBColor[0.368417, 0.506779, 0.709798], PointSize[0.0055000000000000005`], AbsoluteThickness[1.6], PointBox[CompressedData[" 1:eJw92Hk81N3bB/CpVJIKUW5aECWltBCV+kRFJSlkaZN9zdh3hlkZM2hDlrRr UVJJSo1WLaSVaCElrbTSpt88L9c89z/3691xvudc5/qcLzPa7sFrvPozGIyO AQzG//2/77+uhS+miFpPBG1dSP+An39Hn7+3WmZ5sFXxoXCCzEqYPmRTe0Rb FlkVn7qXhj3Jklkdc0Ju2gRPl3kM2L2nHHsvZJK1UDfNOzZwnsw66HyxkxXt lEHWxWio/qc6TkyeCHv3uWtVatPJ+miZuwP9fIRkA2w9168w41MqeSpGasr3 cr0F5GlIfGSVf+kej2wEVU3v6RNmcckzUJqVXZknYpNnwnHov2jlV8nkWfhV 4P7N3YxFno2AxRsuXtBKIBvj153hnMiGGLIJOOM2jZmcH0megxoMtboeFkY2 xfrt40o/uzPJZgjuOj+tq9mfPBeVRx0XZ8zwIs+DU+euHQfyNpHno3bt4+qu IEeyOT6cedfFuWlFXoBUuaaoWmt98kIcKllx2zZq9iVqL7TGTf4zU21Zn1lA WtfySVlm9jS+CFr55ZPv6bvQ+CIcKf6pr+W8kcYt4GzlrBTquZnGLaT1rvo7 aKEHjVuiNzb/O+OiJ41boshUMWHBKy8aXwxrtQ8j5p/xpvHF8Ft9tUzO2IfG l6BYxe+cti+ZtQQ6d6/+TrWXjS9F9IS7JZl/ZPOXwjnkyfCHvmSGFdbte6M9 tZDWY1nh6pELhbl7aT8Ma6xqfGZlHE/7ZVljj/K+uvEz3Gl8GeQUTvqH3nCj 8WU4uiIj3S1NVv9yJJXHngtxW0fjyzGzOqEmcowzja9AxugVJ9bedKDxFbj1 pmFzYMhqGrfBnStTUt7Ot6FxG7jGbZvUW7aExldCL3ycFevoAhpfif6rX8kX +s6kcVtobQ/34rVq0LgteiZl375mrEz9XgXDpWctG/QN+8xahcAFwd/ChprS uB2u644477YGfYYdVCpVLNsNFtPP22Gi8mezfCHlSWKHqdkOCutCl9P81bAK OdaP+dyG5q/GtfVnigT1tjR/NTrN91et1LOj+auxZE8x+80hMmMN5tmJNkz/ QsYaaM6YEXRp0GqavwbDhn05tLtDNn8NTE1Nuk3yZPPt0bafbzpfRzbfHrs3 fRTZDlhF8+3BCRnnvzhuJc23h8Dzy9nvp1fQfAf4Vb+4PPncMprvgAV3zQ5W ZFK9LAe0/V70OmTxEprvgH0I2i73zILmO+L8g+b5b91l5+cI5vk5pnkX5tF8 R2StflUud9yE5jtC4LHw4KPiGTR/LYbfkys8HzGZ5q9FTKTB/Ogr42n+WkQJ Lz7bf0qB5q9Fk8bQrkm7uy72zXeCY0vTk735qn39hxOG6K7ME3zRpjw4oYBf GmP1Vb/PEidsqPx2vWnJdMqPMxoP7qwcGkJ5gjN8NbYsnthK7weWM9YPXhSX /dmE5jtj0cbdA1v2mNJ8F6xoHhyb/cWM5rvgMkOl1/X1XJrvguHj3gyvjJ9H 811Q0hhWrX2BzHBFaDOv5vohMlxxeoaSWLyYzHJFQ8m3I93Z9DyJK1ZqRw/q X0zrMdbhdrpR26g42g/WIdjooebn0XNo/jqwGtTquFxjmr8OPQlzSj7emkXz 1yPMQm3Gqs4ZNH896vmRe7d9pfNhrUfQdM8PV19OofnrYbcZwpfnJtH8DfjY E1mvzZtA8zcg5UOk0Lx4HM3fgHGC8y4pm0bR/A1oOLLz4LZMRZq/EYc1a82m P/3Z109sRNaJM19GaNQv6Ju/EeOtRrpZ6DCo/xuh95vx4e7qYZSfTfBYrr6P fUGV8rMJOZ7ikn2LNCg/mxDF8otSN6I8STZhYJMwu12iTfPdUK4zVG1j7oQ+ a7mh6oitSrCWHj3PDZWGFwIV1k7ss5sbYgU/zsjPm0TPd4PZPYsszXvkIjd8 rEyKrdKg3zcSNzSaVplqaZJb3DDZ/OQCjcf084zNOP3u0tyRdmStzThvN2Z0 l4jWw2bUVJYX926n/bhtxt9TK5a1+uvS+puh+J6xM1aN9l+0GR4H9wie7KL6 JJshCbg1dmI/LVp/M2a6hgeOLRhD67tDz3F+ZaDKf7S+O5hr9WdYb1Gj9d3x 9fXZm94X6H3q5o4/a1c1jFZSpPXdcWF/rWPzWTla3x1e4WxBlPzvvv5J3HHA VXdi2fh3fW5xh/iHrTy/ZwfdXw9sCPvv14Hx7/qs5YHjZ1/Nz/3TQ3nwgGvv 2cnmA/r35cXNA3lnrvtUKg6mfHngXcC08fu3Du1zkQesHgapnROPoLx5IGvo dmPrROU+t3hgb2RV/xsfVCh/nojXk/f0U6H3h5YnkHJ03vZO2fvEE/aNxgMi uGq0vie0Ny0K/PaIzPLERK+JokNt5CJPOEZ2d106SZZ4otbM6cIvS3KLJ1JP yk3IKKTnM7zAzjvtM+b6SFrfC+fb5hRmX6L9wQvbku57mWXS/t28EKWodDfA XInW90Kv8eW5IbnDaH0v3I15pMPkK9D6XggflXSLYUfn1eIFTTXBwqm9A2h9 b+RMOSapzGfQ+t6oYHX/NQr8RefvjcpxI8Njir/22c0btqqS2JX9qV8sb+y1 TZy7fHxTn4u8kb/K9k6u4bY+S7wR3CB6dIX7mPrvjSbNyLZv/u19Zvig24Cr 8NKjq89aPlCsG3Luoc73PsMHc6f5D57j/7PPbj5ovduaeHDWX3o/+OCBsc6o eeb0fijygf/gJ3hQ0I/y7wNlm+7QD5X9Kf8+UBvwff/u7QMo/77Y292ufHUK 5VfLF9UfJ+1qSybDF7tfpV8yzCW7+cJy/3umXziZ5YtETljz61Gy/PtCwa2Y 6c+h50t8UZJlmDGxWra+Lz492LOp6B7tj+EHraxR//ZV0v61/DCxzpfv1f8f 1e+Hqg0hjq8c/lD9fqjMSE6YE0XnwfLDQoukgqawH30u8sOQzJG3Zjl+pfvn hyh9C4MoPTrfFj/Y6U/rVn/2ls7fH5fbKjw+hrXR+fvjamV7WLdFE63vjx1P W841N92m9f2RpVtRNdG4iNb3x8NrXzIDD1+m/vvjUErF4RcKD6n//kgY4e6l M/B5n1v8gS0ra39mt9H9D8Ci9jcHkqve0P0PAMvr8eE9ge8pfwGo1FIOCC36 RPkLQJXl78kPjtDvf1YA/nM/ULfw2mdaPwDLVH4abN79hdYPwDCXbX73zCi/ LQH4KOoKbdxBZgTCwzlI0+0MWSsQgd0/R73ZRUYgkvndr0OXyfIfiFre1E7W VXo+KxDi7vxfP0aQiwKhcdgdI41oP5JA3GkOMF8/mfbbEoiuqwf/aPWjehhB GPP70hjDCKpXKwj7jzsHNlV00PpB2DNzgpfp49e0fhDe5TNVVjS8pPWDcDb7 fehz4QtaPwjnVDbEspye0PpB8Hvt/PrfhAe0fhAM/N4s7z/oFq2/BZeP5Afx VS/Q+luQP+hb7aYCur/YAkVuVVSjxUnq/xYkhTc4Bmleof5LfTR2f3HbHcrf Fpwqfjlk3tf7lL8tWBKV/2vfkAbK3xZELDEUuR6nfDGCkZOndnv+02eUv2C8 LRLub7ZqofwF40fJm6CNHq20fjBK025O34CXtH4wDi40CrV8QS4Kxq6DGcv1 F1GeJcHw8Vix7ooPuSUY1a6zM9wcyQwmJlfyL99XJCsxMcHjqNAri56nxcTT twpr69ppfSMmco8q9RurTAYT9oFWs4+p0n7tmDj/imc04QPV48bESufxi8eE N/eZyUTh97Fmf2810v6l46VTZ+T+etTnTCZGjlZ8cEnxAdXDREzStT3aQ+nv oVImfKZVvQjovUn1MfH9vc/yJa+oH/VMDL7eXyOn7DzVy8RVhfBpahUn+tzF xOi3V8qeiLOo/hBsUPzPcLjvrr5+K4XgnbXiU78BJykPISiJ5kdtr67ss1EI WjkW/ktbqikfIQgr36Zd1n2tz3Yh8A6Y7KhVdJPyGoLA2uY/0x/e6TMzBBHT AlyGZN6l/IYg2as36WhHfZ8zQ2BSUxRdcPse5TkEWx8lyGmF3O9zaQi695xW 1G0iS0LwaOwT7jx5ynd9CDov+Z0U/aXxlhDof72PWxfIXSFIkLMSai4jM0Lx UjhSXv0gracUirHWnQtONdB+tEJxdNGQi+uv0n6NQrHDK81ZeXst1R+KI23X W19Muk31h8Jbz8vcPbWG6g/F4j2u29ZcpvNhhkKtWWPxlqf0vmSFQpL8afHp y5eo/lD8ifrppXTmHNUfCnmTN2sW7D1F9YfCx/rq2ow5R6n+UGTs/btM72Yh 1R8K1ozjXz85JFH9oZh/890qH+906n8oxOPYrG7RHup/GBxGNVXorDtK+Q9D 7waNQY4mZZT/MGjI9T4XOZdT/sOg/vpoiMKwSsq/dDwkYMcE2yrKfxgiJLP8 nw2VUP7DUL5DbemuWdWU/zDMbPwmd3bsZcp/GJg583443SJnhqHffr7Ydi7l uSgMYRkD1o0IJpeGIaTuUO5Bf7IkDFevjjl4dLos/9LnyU8InFVNz2sJQ8bf 30qXdchdYfg+1G7gfGfaDyMcutb80sdetF+lcOzV/nVLuegi1R+OFTUvCn6Y XKD6w1GsOpXxJfcc1R+OFsPqg5L7dD524UgWRibovz9F9YdDQV+T/fRDKdUf DmXnO8ZXL9N5s8Lxr2bLmK59B6j+cGh37675O3Y31R8OOVfjsF2Tt1H94diQ V/PKc3Ii1R+OMnbWxaaRQdT/cFQFtq6z56RT/8Oh2b/8+9n5OZT/cNRtOsMS XCyi/EdA6YLS8Yye/ZT/CMj/y3PsvFpM+Y/AhVK/2pNjj1H+I8Cc/sUhqPc4 5T8C/cNGZo4vK6X8R0BS4T+h9SC9P9wi8O7+bGbyhjLKfwR0DF7Ulj8msyKQ fVao+nwk5TszAqPX3vDtHEUuisCbnuzakJf086UREGg8LwmKIUuk8xNrxBtf 0Hr1Eej8azVWV53cEgG1RqWaL5Nof10RaAkqNBRMpP0zIvGxJK9ZVEX3SSkS XXtfPt497jDVHwnNgqVq2+0PUv2RSLKx8FrlvY/qj0SOns2pYjc6T7tItDzd FpqXQ+9Tt0i8XDv66Bqv7VR/JK5Uu/+dFkb9YUWi4cm9sfYrWVR/JOIPTC+T a99M9UeiPsczvLQ4gPov/fkTTioGl5Op/9L9VgnYJ74LKf+RcJgxfcyWs1sp /9L6th6bEzAsm/IfiZHWquj8tovyH4XtGrUBx3wKKf9RcMiafSislP6+04rC l8p8l3Of6H1hFIXKXTcKH3zcS/mPwn2te2lHS/ZR/qNwN2hbz/Np+yn/UbBO qmwvDyUzo/AicuO6MXFkVhSuTR/RK1xOzpRauSZX/hU9r0i6fu2sc4oryKVR MJzamxHHpvUlUagVlXtkZdH+6qNw+OnfAw9iaP8tUZgw7llLvxSqr0s6X1Cv 3b8xj+qPxhkbjwNH/uVQ/dGwCM9arzJgJ9UfjT9M4TCrD3SeRtGw/1i72T0t g+qPhnfh75dfpqVS/dG4MeXAiJbGFKo/Gpv5wYLGWTFUfzRYvXOVbYb6U/3R kOsI4+V7zqb6o3GBMfHExmYP6n803A8tmZIcH075j0aNdluo66pEyn80koZ0 hi84zKb8R4PjMCz/cCWf8h+N7Q94CQschZT/aOT/6Z/bESam/MegU+TwdEdq JuU/Brn6W9TEOVmU/xjos1eGHPbeSvmPge3jK+1bvpERg6OG3a6jLOnvRbsY LPmcxUtwILvFIMrheJLmFDIzBqdcbmp8vUnzWTHQeK63ljObnCkd9+AOqNpC 6xfFYKHXgFcd8bS/0hjwK33uW9yg/UtisObbq12xq+g+1cegZdYcH1Z+KtUf g4K4+J7tFTyqX/q8XbxuleN0XoxYfBs7MdyOT/dPKRZG2r/ZAwpiqf5Y3L53 6MM8TTp/o1gcMvUeqmYWQPXH4njASfkVteup/liUzpIzGDFuGtUvfb7IeUKF nwP1Pxan1/l23rvkRf2PxZz8nCcKa5jU/1j87N6s98IzgvIfi/dJbQcHDI+l /MdiK6/y2OnFsvd/LFK9zyq+Y9D7oD4Wda2Xqr7vpvy1xMJsT+bx7X/ZlP9Y OP18P6BEnUv5j4OfwLTfpy6yUhzqzJk2NTwe5T8Otv4l7p7NZKM4dAy2CMzu IiMO9yqb9jyuIdvFYc+t8ZGTfchucXilKq7QuEvPZ8ZhUuXr9mI5MisOV0U7 Xxorcqj+OFxb1rsg8h3tvygO808brXfbT/WVxuHzLFeW5kIW1R+Hrl/rFj5P SqD645BRHM/wcqbzaonD33GONTEqUVR/HGYOSbx8rCKM6o+HxyfNkfaOdP5K 8Xhx75ZK4ys/qj8eevWnHynN8qD645HQ5Ta63taF6o9H/pRD+4atWEb1x6Mz O/v116n9qP54BLiamOy5v4TyL52fdnV9bK4j5T8eWWNLFkwO2UT5j0fp7/vM tmmelP943OXa7VHW96X8x+PTp3Gu5oWUP0k8An+GfDUVbaH8S72sS9Mihkn5 j0fH0C/ZRd4hlP94fAyscVcZEUr5T0Bg/ak7J8PISgmYbDDs9MqdZK0E8H9s PLU+hmyUgGD5Xf8+jScjAd2fLkzdLaLn2yUg1G6kUsp1Wt8tAferyz9NKQym +hNQP351g7sz/b3CSoCNcFdA2zV/qj8B+pX/Std89qH6EzBYf7dnwWs6j9IE bJv9/OOjEvr9KEnAk47wkxOP0P2rT8CkPZ4O++7Q+bYkYHHBPJ9VJ1dS/QnI e7mrwDx9IdWfCGWermX3rxFUfyImP9zBXdBjQv1PxAIX6zPPUq2p/4no7jmj HMBZQ/1PROP2rs8Hgpyp/4mID95xyenrBup/Ig4nfHz1mbOZ8p8IS43EolMP KE+sRGw+8HdJayu9DzIT8T3uXq7tMR/KfyIGDt+1ssyI8liaiPpDxS/2BtHv D0kidp0q1c5yp78P6hNhurQsQzIikPIv3W8zf795JLkrESmtlhvuZ5MZSdg1 8MD4n7JxpSRYGsyZWzeKrJWEJ0s9TBhx9HyjJGhxjxhfOkTrIwkFDdxtR/fQ /uySELZr9MCrQb5UfxK+bXu4xV6Z6mEmSf/+qz74PEv2/ktCzZCbTirf6Twy k1C5ZqzpSbhT/Uk4eTupOiXWjepPwt+2T4ZcOzpfSRLeRNkmae+m+1ifhGmP 3p++9t6R6k+CeW/Xgw+gfnUlwf9FsL3y6pVUPwtJe3sPPnZa2md5Fg6EX3Wp s11I58GCb8N+SWfhzD6rs9BlutTnZpcGnQ8Ln3OXPfzZX7kvP/os5K299mwX dyrdFxbu6EwozDSd02dTFh4FZ4y3V6X8gYV+I/XkFdot+mzNwqKymsSqY/S+ sGOhfVSlWetTqz47s8C58+zQnchldL9YOGj+42ZC/PI++7KwsHydJPkzmcmC zf3db580kaNZKIk1H/B8AZnFgm7YwmpNPXqegIVy5+EOs3fSepnS8/D3c6jI o/3ksPDScIioPyzpfrKwLjR3tIoYfS6WngcjNqlGZx7dVxYujXwzu+Do7D5X sMCtYX/yLphC95eFmw42a99kavS5hoXDsxUsZsa8Me/rJwu2JxaOjgrT6jvv Run6yhY7HRKmU39ZmK3CDuTPntPnDhYGDo77sp63gPrNQuYvX86Ceos+97Aw brrRwLWm1G9GMuraS1x1wuj9LZ+Mj/YPpkyJsaH+J8NnbyjzueUq6n8ylJ5l VNxpt6P+J0Pxzoo1DfKUL/1kDFSv9p49yJ7uSzJ+2V9I4j4jmybj4oe9/9pF 9PcAkvE85Ajr4yjKq3UyWgq//9oTTbZLxuoHbrfiT5Gdk6HiuKdkUw3ZLRkr m3uaxBVk32TMXNtqdZhLZiZjm9MUi6IZ5OhkPAw7EXP8Iq3PSsbkUX9zbaeT BclIuuW+bQaP9puZjNaNA8pmX6f6cpIhqT+zx+nLarqfyWh+Lh9XNoxcLD1P Ye33AE06n9JkfFO0Lt9kbtvnCun6TIXdK4zpfCXJcMk9Muae7vI+1yTjb+x7 o9/K9L6tT8b+1vWGef2pX43JeIZdKXP/WFL/k2E27ZvScDnqb0cyCvjN796N A/U/GS9nCRfE7J1P/U/G08Xe036Zm1H/U5AWqfPf+tH0vpdPwfPy/XOKZ8+i /qdg1xE0te8yov6n4N8vm/I5+VOp/ylgjK2bmb5Xn/qfAo5PwvkrNnrU/xQs Spsz6Gm+DvU/BR07c4PebKU8IwXfp6qGW7iOo/6noDHG8LRi/Rjqfwo+vNK9 3hZPdk5BVLDv8lj7sdT/FFg/UJ17zXI89V+6H7XMtfvGalP/U3Ars9PsuMoE 6n8KgrVGX6yJoP2xUjD3l3FSz1zavyAFekvEJiWOU6j/KTht1lr8rmIa9V9a T4jwR8WUGdT/FLBL5d9+U6bzKpaOv0x5myJvTP1PAT855cAjebqfFSkIPTvF Kk2Rzl+SgjenV9RFD5tH/U/BzZClqlcGmlP/UzDVJWXjy066z40pOHJ0zGkX D+pvSwq03/30lVgsov5L+7Nk5PeBqpSHrhScm/agbdkj2f1Pwa9nT1w+cig/ DDZMgg2/btdeTP1nQ/6bTt3kI2QlNqbWddY8GbuE+s+G79RjP0fFk7XYWJPK 8995lazPhnL7Dj3bbrIRG7f+qBaEqlJ+TdlYPMUqMWwMGWzcWz+xt3sE2ZqN 5Uv6lTZ10nw7Nmac2PdDt4rszEaKbby2QgzZjY3DR24tealL9mUj7NTqDt3L tH8mG79aD3A81pCj2biYLD9ocQPVz2Ljw7/HiFtDFrDx9mR4/I1rdF6ZbBg6 zhvzfiY5h42h9ZmRh/LovIuk9Z+saDvbj1zMhuXPmaq13tSfUjbq35wMUM6l 36cVbDzqHvDqiy/1U8KGRu2JnGmgftewUadxt46lTfe1no3nSv5bAkdQPhrZ KOjaCRPFudR/NjY976fS+h/lqYONRQePVBnMNaX+s6HyfrRK2hbKXw8bI+JP 7TWsoPvO4CB7+W+33/9//zlYc/4/zSwx5VeJg61XLM8sGUNW58Asf4rOlGr6 vK7FQX+vf0OVE8j6HKgY8zUFq8hGHBz5xr37eg7ZlIN1k+c/sDYmg4OvV9Iv FywlW3PwrijYer8/2Y6D2JkJqd92k52l60e7VMu9Jrtx8JflOmi6Ke3Pl4OS niTds9lkJgfp1zOC6/tRfdEcnGsMztgXTmZx8Ge8+WSHT2QBB9UpHusGBdF5 ZXKwcMey3rZP5BwOnhnpFGiH0vkWcXDt+g3NAd/JxdL5gqf/XkRQP0o58Lny 0mHSV3IFB1XWIboeAdQ/CQfji6YkzHtGruHA6YlALsaK+l3PwRNTOeXBh2X9 56DH/+SK7wzKRwsHt/SFT6JtyR0cKBxOU/uYSe7igGsxsezBDdn7n4PzhS5n Hn4hM7gYvPzHpSplyp88F1da6tWSdclKXMj56S6aPYWszkXhBDu34RPJWlw0 e6+Z6K1G1uciL+3qzhM/6flGXIQ8rODFPCCbctH64tl7/31kcOF379AA+JOt ubA3t1h/Q59sx0Xvh5qa5y+ofmcu9mtFLGdmkt24yPzzvHvLPLIvF9fUxr5/ 0ErnyeTiJ9NlYR6HHM1FhFOOXrUumcXFYjlF9YVXqD8CLsysymcO2UzO5MLE wPLs0H/U3xwuOL6rq/ULZf3n4s7Tu9NNFsr6z0XxPpUbv19SXkq5kPzLFM9I k73/uZi2LzUw0Zgs4WLK+g+MqNeUvxouApPHSvJ3keu5mKmj7rzBkdzIBeNO qJrKKHILF/fWlk9gPKO8d3Dxx+u2ifMRchcX3pIBQ+ckknu4SPtX1HzAmczg 4Xv1O7U8M7I8D9cZBnN/a8nuPw8+l6zbc4fL7j8P8Z0rBs7rT9biQSWuedz2 37L7z4Mv+3b1yl+y+89DkUGk3MBe2f3nIfzwK7WVg2g+eDi3e15TqQrZmofF R76IT+uQ7Xh4WWm0pcGY7MxDCSdr9Y4VZDce9t5WtvH1kN1/HoYJeaa34mX3 n4cXQ7PnmMjeB9E82Izv0DQoI7N4iE2fdXFSLVkgnV94yLT8DTmTBwUn60Ee svdHjrT+y1y5K/+Ri3hYqzPVMcyIXMxDpNae8RpLyKXS+u8cN/JxIlfwIDdw VbSqD1nCQ2aH2Ks9TNZ/Hv4c+aV1LEHWfx421eseXMiR9Z8H77K4Ki5f1n8e 4tSqGoJk7uDBLrD0zmc2uYuHhg7VJDXZ83p4uJr+0Kc9VPb+5yPlTKtCnJfs /c/HbTtV5y8OZCU+vPQu/gpdRFbnQ9WVt8tgiuz7AT6eqTsprVQh6/OxF3Jb R3bT+Rnx8WD0oYbzT8imfBSmes3nV8r6z0fbLP6Lc7my/vOhx/a4lhsl67/0 57+//hPkIOs/H1lzztxKMJL1n49E8a2nIxRl/ecj2+8e3+8N5Y3JR9OdFKW6 y+RoPo4MtOyfWEhm8THQy2t7eSxZwIdJ5tLxJ51k30fzEXB85N69st9XOXxE H7zvcl6VXMSHiqWN/8Tvsr//+NA5+CdnSAO5lI+X3L//cSvJFXx4drRvObWb LOFDLcDI6TCPXMPH987YexHB5Ho+kkbONtRxJTfycUeSPqVsKbmFj2WBLdN0 jckdfCxe4B0Vokfu4mNOXleAeDS5h4+pT8M/+g8lMwRImvjn1BcGWV6Ad2HC U8N66PO+kgAxFaf4RV2yz/8C8L+/bEt/R9YS4OewjsFlr8n6AvR3GmnysZVs JEDKszoDjRdkUwGYwWe2jnxGhgBjr19OOtVMthZIPy90NT1oItsJoNPvxj1b mZ0FWPJ274J/T8huApiPb1ColtlXgG6vu6khMjMFULwVcKezkRwtXe/Pv/dj ZGYJMJy30+bpY7JAgBlFHY9GPiJnCmC1uUXn2H1yjgBt77MPZd4lFwngdXxP 7Ynb5GIBPONuDfp9nVwqPb/37Mfe1eQKAXb3M7v/rpIsEeDq59ac5FPkGgG+ 7l93Wf8ouV6Azq3/rrfsITcKwHo1vOVYNrlFAPd5Ba1b08kd0vmx+4fnschd 0v0s6ddxN4zcI0B6skq3uTeZkYprzle2f3Uiy6fi2PIfJYxlsv6n4qriD06k maz/qTCu3x7mM1nW/1Q4t1w70q4u638q/sVHfx0sL+t/KgbETmS++EGfl0xT cWBRx6bk12SkwnBsWVu/h2TrVHzT8boefplsl4raqh6rj6Vk51S414Z8SNhN dkvFbtX3tqZism8q3nJ+9ExNIDNT4e92eUFAIDk6Fdt2j9bqt57MSsXsMr9p v1eQBam4M+t3lOd8cmYq9gfqRi81JOek4uCYG4qHx8k+/6ViUkwJc6sSuTgV /dUb5g4eQC5Nxb2/oe4KP+jzc0UqPjhZWBW8JUtSsWfIzIuXnpFrUnFpRI02 8z65PhW8A5reR2+QG1Px59HX6UFV5JZUFKsUfzpxityRil9PfHsCj5C7UhE1 KLw4fw+5JxWbNF4mmuSSGWkIyGEvmpFFlk+DKFE8lp1KVkrDNwXRTe0U2ef/ NFjazD3UP46slYb4mb9faYST9dNgXskv3BRENkrDmiivP9e8yaZpmL9PZY2l Gxlp4P12n1vrQrZOw1S/3ydd7Ml2aRi+bvv0FzZk5zTse/33nMNSslsazoeK f59cSPaV1lM2z77TlMxMQ4HP09aBM8nRabB/Pji704DMSoNq9V3TQxPIgjQ0 Te710x9DzkzDiC6XkmBVck4aHr5f5R2rSC5Kg3Xd+IalcuTiNExbZWpW3E3f z5WmISx2w6rF7eQKaX3uGX4eD8mSNFwUXk6Rv0yuScN4vZJ/c06Q69NwJ8B5 W3ceuVF6njematsKZN//peHD3kf5luHkjjT8Egd1tGwid6Xh0fyNJ6evIPek 4alxos1cEzJDiOARF7OGapPlhSio6Dh7fChZSYjqCRVG03/Q9x/qQuxTqOPm tJC1hJhxs9nkxy2yvhCnd0/MtT9DNhIiq/xzxfndZFMhQvv/nG+WRoYQzqtG 2zwOJ1sL8TkhKSJ/E9lOOj7ieN725WRnIUb7vWq9bkx2E+Jj+8X8udpkXyG+ jti95IcimSnEFqefzH89htR/ISY5Hrrh+prMEiLBX2WA4n2yQLrfHxM/qF0i ZwphnCu/IfYYOUcIp+DVS+buIhcJcdnsRqmjgFwsxNQYi/rbkeRSIQ6OLJPL 8yJXCJGf+fO9xIEsEYKTFxA8dzG5Rij9vNTxYMBscr0Q9gv0bqnrkhuFsFzY mhyuSm4RYqvi8/PKA8kdQsyZuujZu+/0/VyXEKpbfvb/1U7uEcLLe5GaWSOZ kY4JksdNe26S5dMxfdb1odPOk5XS8VC/wqPhGFk9HTumbjiVXSj7/i8d5jof u3wzyfrpeFtUaLUkhWyUjkkfX+pNCiebpqNcwWT5EG8y0rFl+4W6dieydTqC CqfPOr+MbJeOm+YbvVLmkZ3TYTRwXI2pIdktHYwLeabN48i+6dC5oK3io0Rm pqNkq5NRUz9ydDrU537qnPmVvt9jpaOT/9aQ+YosSMeKjIglWY9k3/+lI3ZF rOLO6+ScdOhzu+oSz5KL0vHnpPoym2JycToMXpYU/cshl6bj/fL5G3alkivS scHg6KZxsWSJ9PxDdJ+I/Mk16TgxPGLRe1dyfToWyimsNFtBbkyHr2PZy9h5 5Bap+xkon5pC7pCeR1ep3GtNclc60FT+Z6QiuUe6n0tliyz/GFD/RVgQ5KAZ +YEsL0LPkHE3TjwlK4nw6zcz+OsdsroIyzrmT1hcRdYSoZ/N4rr9JWR9EZ64 6c5ULyQbiXDIbVBLkZhsKp1ft2DWoiQyRDjNz7D5HUy2FsFaL3z4PTeynQjq w+I1rq4mO4sQ9bGw9pEF2U0El2TXRYNnk31F2Dwgf5mLHpkpwpfupIg7o8jR Imzv76y0WZ7MEuHGsoQJo39Npv6LsIF9MvrTe3KmCGOiFxS0PyPniDDyfejr 3rvkIhGS1t1hmlwmF4ug/cprWvppcqkIaSpPW3sPkitEWLHPS1+US5aIEPnM ONE4nVwjQtHvbssfieR66f4NfK7WhpAbRbDR6zCr9CS3iHCuXO3hOSdyhwjj Js+rurWc3CVCs2Dn+Pfm5B4R3nhEGvw3g8wQ4792xmh7XbK8GOV3b0zNHk1W EsP4Usu1NgWyuhieK2+vmdNL35dridHxXbIh87Ps+38xQh9cEX18RTaS/ryu yuGVjWRTMbb+55J94jYZYpg+tvJQuUS2FsO5qGJeRBnZToz4ycnhDQfIzmI8 O3+NZ5pLdhOjIpOllJNO9hVDoMd9+D2JzBTjRMn8c6vDyNFibHwYdOOoN5kl xu20k/pyrrLv/8UwuB6vt24lOVOMG8H9J5wEOUeM1m+3igbNJheJYa821mT9 JHKxGIfXLMwo0yCXSuufWeCvMJxcIcaZ/Ac7PPuRJWIE9jv2rvrbJOq/1KwJ NhM6yPViKOS470ttJjeK8bXl4dPvdeQWMQw7lr72vUzuEOND16xDbWfIXWKM jVeT9zlM7hHD9tGQ9q/5ZEYGcm5HqgkzyfIZmPlg2CZDDlkpA0vutyY0R5HV MzDk2v2xOwPIWhlQfa3ZtGETWT8DfuNnzZ9lTzbKQPnizspRVmTTDBS4Vp2T n0dGBg7vWysYMn3Sgv8B12QXsQ== "]]}, {{}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "OptimizePlotMarkers" -> True, "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& )}}, PlotRange->{{0, 1000.}, {-0.002857271068281559, 0.017996547833984407`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.8837190332791157`*^9, 3.883719085713951*^9, 3.8837192435752783`*^9, 3.883719426358539*^9, 3.883719727998137*^9, {3.883720126901369*^9, 3.883720140188383*^9}, 3.8837204441223392`*^9, 3.88372049409147*^9, 3.883720792625421*^9, 3.883721999865437*^9, 3.883810282500098*^9, 3.8838125764798803`*^9, 3.883812748735682*^9, 3.883812908933188*^9, 3.8838143920562887`*^9, 3.883815414726983*^9, 3.884769522900024*^9, 3.884770970679729*^9, 3.884775492538864*^9, 3.884780455601738*^9, 3.884782448626782*^9, 3.8847832715012093`*^9, 3.884844589111847*^9}, CellLabel->"Out[39]=",ExpressionUUID->"a557a8f4-eb86-4eb7-956b-9843fd84d56e"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{"Data", " ", "interpolation"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"factor3He1", "=", RowBox[{"Interpolation", "[", RowBox[{"data3He1", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor3He2", "=", RowBox[{"Interpolation", "[", RowBox[{"data3He2", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor3He3", "=", RowBox[{"Interpolation", "[", RowBox[{"data3He3", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor3He4", "=", RowBox[{"Interpolation", "[", RowBox[{"data3He4", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor3He5", "=", RowBox[{"Interpolation", "[", RowBox[{"data3He5", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor3He6", "=", RowBox[{"Interpolation", "[", RowBox[{"data3He6", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor3He10", "=", RowBox[{"Interpolation", "[", RowBox[{"data3He10", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"factor3He10", "[", "q", "]"}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "500"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.8837198033492517`*^9, 3.8837198142666893`*^9}, 3.8837201466788797`*^9, {3.8837202350374317`*^9, 3.8837203071630087`*^9}, { 3.8837204509451942`*^9, 3.883720459114644*^9}, {3.883720840342484*^9, 3.883720845315361*^9}, {3.883720903692583*^9, 3.883720903859585*^9}, { 3.883721122463702*^9, 3.8837212045718317`*^9}, {3.883722118084847*^9, 3.88372216127608*^9}, 3.883812589139306*^9, {3.883812774473237*^9, 3.88381277530464*^9}, 3.883814519532838*^9, {3.883815420044084*^9, 3.883815479915234*^9}, {3.884769528098181*^9, 3.884769534388286*^9}, { 3.884770992856086*^9, 3.884771033872036*^9}, {3.88477550216118*^9, 3.884775538379278*^9}, {3.884779937502994*^9, 3.884779942646675*^9}, { 3.884780060851905*^9, 3.884780077228714*^9}, {3.884780463582588*^9, 3.884780507041526*^9}, {3.884782458767555*^9, 3.884782507317051*^9}, { 3.8847832826058683`*^9, 3.88478330753891*^9}, {3.884844835638824*^9, 3.8848448450596533`*^9}}, CellLabel->"In[67]:=",ExpressionUUID->"f395d881-914c-4fc7-9c61-ed68156165b5"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{135.798282093093, 0.00017667838859122942`}, { 136.62145931312745`, 0.00016643522773614943`}, { 147.90574806087213`, -0.00017454873267488198`}}], LineBox[{{160.57452957426486`, -0.00017454873267488198`}, { 170.46784494870712`, 0.000017420399424024084`}, { 183.03759877219323`, 0.00017667838859122942`}}], LineBox[CompressedData[" 1:eJwBIQPe/CFib1JlAgAAADEAAAACAAAAvUGY8BGxZ0At/EPNVygnP5CCM8ip YGlAAKfRMx2jE79taNOXK5BrQGni+KgLmyG/8kn33zyabUB2OUnqubQcPx+Q QOsj0G9A6GbzrYvMDT/Pz6Hu2P1wQDCk3OK6jh2/Y1Xlo+cAckDIyMDB2hLY vkuNuzrhGXNArvweZxVuFz8Hw9ONIiB0QAYXXGy5yP++F6t+wk48dUBUNosK s54Ov9B3hmpOU3ZAD8OwGclxDD9dQtDOlVd3QA3m3oa/Rv8+Pr+sFMhxeEAH WKDJSe4Mv/I5yxZCeXlAKsAQWlLmzL5QmUaMj3t6QIGjEHOLSQk/AqtU48eT e0AxAAE48njtvoe6pPZHmXxArZZM/v92A79gfIfrsrR9QFa9YCNGavs+4yLH U/HKfkC/RmYMk1z0PjnHSHh3zn9A4rmeKHPF/77xji4/9HOAQJJ6sJhD4Na+ MLlZoFD3gECwa9bcxu3+PsRVM7sWeIFANJKfziFDxL6CS9ZG0gOCQASH+FXJ 1Pm+KkCasDGGgkCIdqBcL9/nPvyNJ4uGE4NA6+3YhBrO8T632tVDf5eDQG6i +JxVTfK+x5kytuEYhEDqn/q/baTmvgGyWJk5pYRAOZd0fz4R9D4lyZ9aNSiF QAwoy/sbWsU+czmwjCa2hUDvQYqgG6HyvhYcb3iBQYZA0qHYu5zp2z6i/U5C gMOGQNycLqBqku0+WDj4fHRQh0CHtR2v3l/nvvhxwpUM1IdA8PVKcIA04r7t HTtoDlWIQOzk68ytHuo+DCN9qwXhiEBitSR0eVTMPhUn4MygY4lAzlib8RhB 675IhAxfMfGJQEMy4Il1Q8E+z1Pnqit8ikBe2AGHFRTnPkAi49TJ/YpAy6mF DUSR2L7bSahvXYqLQAaltnvUOOC+YHCO6JQNjEDVj1oGgBLiPg/wPdLBm4xA HMZVJ973zD4T4pt1WCeNQFEqwo1OlOS+AdMa95KpjUC4Pi5SE5CYPhkdY+nC No5AprvGWntG4j4bZsy5lrqOQMY6ygzqitC+7GUf9/8/j0A1NLf2XdzcviTe jEU= "]], LineBox[{{29.452085551381217`, 0.00017667838859122942`}, { 30.254473170486477`, -0.00017454873267488198`}}], LineBox[{{55.360013124887594`, -0.00017454873267488198`}, { 58.43387332000294, 0.00017667838859122942`}}], LineBox[{{80.24971304491409, 0.00017667838859122942`}, { 84.50138186215766, -0.00017454873267488198`}}], LineBox[{{109.0743119046838, -0.00017454873267488198`}, { 115.46067524658542`, 0.00017667838859122942`}}]}, Annotation[#, "Charting`Private`Tag$852518#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.00017454873267488198`, 0.00017667838859122942`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{135.798282093093, 0.00017667838859122942`}, { 136.62145931312745`, 0.00016643522773614943`}, { 147.90574806087213`, -0.00017454873267488198`}}], LineBox[{{160.57452957426486`, -0.00017454873267488198`}, { 170.46784494870712`, 0.000017420399424024084`}, { 183.03759877219323`, 0.00017667838859122942`}}], LineBox[CompressedData[" 1:eJwBIQPe/CFib1JlAgAAADEAAAACAAAAvUGY8BGxZ0At/EPNVygnP5CCM8ip YGlAAKfRMx2jE79taNOXK5BrQGni+KgLmyG/8kn33zyabUB2OUnqubQcPx+Q QOsj0G9A6GbzrYvMDT/Pz6Hu2P1wQDCk3OK6jh2/Y1Xlo+cAckDIyMDB2hLY vkuNuzrhGXNArvweZxVuFz8Hw9ONIiB0QAYXXGy5yP++F6t+wk48dUBUNosK s54Ov9B3hmpOU3ZAD8OwGclxDD9dQtDOlVd3QA3m3oa/Rv8+Pr+sFMhxeEAH WKDJSe4Mv/I5yxZCeXlAKsAQWlLmzL5QmUaMj3t6QIGjEHOLSQk/AqtU48eT e0AxAAE48njtvoe6pPZHmXxArZZM/v92A79gfIfrsrR9QFa9YCNGavs+4yLH U/HKfkC/RmYMk1z0PjnHSHh3zn9A4rmeKHPF/77xji4/9HOAQJJ6sJhD4Na+ MLlZoFD3gECwa9bcxu3+PsRVM7sWeIFANJKfziFDxL6CS9ZG0gOCQASH+FXJ 1Pm+KkCasDGGgkCIdqBcL9/nPvyNJ4uGE4NA6+3YhBrO8T632tVDf5eDQG6i +JxVTfK+x5kytuEYhEDqn/q/baTmvgGyWJk5pYRAOZd0fz4R9D4lyZ9aNSiF QAwoy/sbWsU+czmwjCa2hUDvQYqgG6HyvhYcb3iBQYZA0qHYu5zp2z6i/U5C gMOGQNycLqBqku0+WDj4fHRQh0CHtR2v3l/nvvhxwpUM1IdA8PVKcIA04r7t HTtoDlWIQOzk68ytHuo+DCN9qwXhiEBitSR0eVTMPhUn4MygY4lAzlib8RhB 675IhAxfMfGJQEMy4Il1Q8E+z1Pnqit8ikBe2AGHFRTnPkAi49TJ/YpAy6mF DUSR2L7bSahvXYqLQAaltnvUOOC+YHCO6JQNjEDVj1oGgBLiPg/wPdLBm4xA HMZVJ973zD4T4pt1WCeNQFEqwo1OlOS+AdMa95KpjUC4Pi5SE5CYPhkdY+nC No5AprvGWntG4j4bZsy5lrqOQMY6ygzqitC+7GUf9/8/j0A1NLf2XdzcviTe jEU= "]], LineBox[{{29.452085551381217`, 0.00017667838859122942`}, { 30.254473170486477`, -0.00017454873267488198`}}], LineBox[{{55.360013124887594`, -0.00017454873267488198`}, { 58.43387332000294, 0.00017667838859122942`}}], LineBox[{{80.24971304491409, 0.00017667838859122942`}, { 84.50138186215766, -0.00017454873267488198`}}], LineBox[{{109.0743119046838, -0.00017454873267488198`}, { 115.46067524658542`, 0.00017667838859122942`}}]}, Annotation[#, "Charting`Private`Tag$852518#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.00017454873267488198`, 0.00017667838859122942`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNl3c8FW4Uxu11kZW9VQplhoz3RUZGGSUZISNFIrIqNChFJKEfUlHIrIgi 7xsykpmV7eJa17w20a8/z/nrfD7f8zznORIuPlbu1FRUVFO0VFRHnfIlhx49 hNxLKnqc5x/CK+oyS/KcD+G8V/jfiewo+LqJIWG/ZBR0uOl0WfDOA8hTreei UHcfzp2+58iyHAlpcx3vhjFHwmKFVvITQgTs17Be8N6+C8en9i+49t+Bumpd xIGC2zA/AWsVzYTBpqfDjNWXbkEx/QJpwf4QeGRkQ3rEMAiuRlPS5T9ch+1u zjwsYn6wySJ49pmMD3zAnhympOgJTST+Eqvt3KF0aMifmCJn+PJ8FY331XNQ 0ITo2zZqDgPdU6eH2yGcA/cPfz5FBS0ua1AyvI/hvR/1H2hoGmNDvlc5NsAK i08b2ocfs8FmcI7xfYw93ubQuqeo5oS/0tK9WhW+gNVJ+c3vTF3wy++puQWH XDHTp67G3C+uOMfAzW9+1xVf62Kosttxxb3XK2vP/usrpt8rrlRzxfQvl32b Q13wgPGRrzzxF7BFlYXQhSBnzM3N9crW2xFPenDQC+baY7rwK7k6H87h0q/X RP/EWuPAhRMcZuZWOG8wdLZ2+yQONS1+zG1mhKMLlP8S3urg3R9jeUyqKtj9 Lv3AE0ZRHFwza1tXyQWti95Q2wIFKCaveD+bXRPK/DzezxOhBw+95EoJYjGC MoKdD29wmcKTvRUVhomnoPaXoUTmegsoNFG3vvbHErL58Hn3kK2gtlH+ICXh NJSgXT/psnYaSh9pkafdewYSy9KEL1NOw77uKsWW+NNwEOgZ06xbwSekGGPb A1aw/jV7/fN9lvDAtKVr45w5dHeofXze4CSMb0V/texNoN27b04MmkYw8WMm S9jicbj5OkLd64EOjFD1UyXzasAOQu0jZg5laPLBNuK++EH4m3j3TftHHth5 N6WAxmsDiZSsZmkOiuGmrYhhvoNyOIzFKM67WRkfjtjrwcN7DH+f2BZhImpj A1qGjAIuXexq0iBqOaeH+TaeVjmH6uOWVVm/hm8GOLmF3sez1BBbXzVzFnA0 wit/rv2J+2yEm5Z+X7lYb4RvOt99S//YCJtx6k08ZzXCV7NH03eMDfFX5b6l D8YGeEKqhKuaQx+LqMuikjd6eNJJgCWIoIvfF3YkxiUBnP/UIMmgSwNTuIfF zo2oYsOHX+pUa5VwnsnOpdeSh7G9o67kQOY+fP5sXKqcBT/uDrp5z/b4Lsrn lbN+FUMNpx9L76eK4odfK/e0M9VKwYc9JNWmDhnY5Kglc7NQAapZPv7UnqMM tUgECtlKFTZ3MjxZyFKHNwyD5O+80oAs3r23vLW0YIJ+8Jl3wdqwxuzU21Nn AJx3GT2a1AogyBq53kIGUD5vONI8D8BmvvjEPVwAFtxIUxGT0oYz8mMJQuOa kI04HTFgpwHLz/z0n3isDt/Jsi9aRajCI3PtOp8NVGDHk9xTHH2K0E/rpB1I OAKhGRIoPnYInnU5Wp70WQrmUwnd39YVhotJUavxjJzwGklCqCx6HSzadt89 rrCCpvWi+ZdP7vnHi4aZv10AU8pkGAfLJHD/l81S1aMHsEvhm0Op1jI41TL5 P8c9R7BWqhezSIECfjN3bDifTwl/kNS+UKyvjM89s3IwVFLBPUxrbtrDKrg6 Sl9fwfQoBjPBZ/0Dj2LNOUDhdDmKV0M2Vur2HMVyEe7Plu+o4EVf6pRnFco4 R7NdXvWbEnbbNLg8kaCI2RQ1Px3QVMC33KdbPwccxpD+reAdBRn88H3ApfQP B3BGxlrDFTopLHUu6Bv3ZVFMV5ym657Ki83s4siRV9mwAOdMr6f5NuIquEWI oW8FTysX/AYPU0PJyU1ewuQeSH2Qh1Nrixem/elS//ZcBO6TeaAgPSwBCxny ieSCfbBi1yyDU0kaLrT6q624H4Jv6naPUvRl4fEfMtev/5SD1/s2vChrh6FT w+WE5dojkDn5SxmbujzcfyzDd+SkPHxyULqBjVke8kT5aChcOQLP+H1Ua7lx GH7ykjxnekwOts6yBvXky8C8kd15+/6D8O3uWxWPnwfgoqsVJ1/EPrjD5/GN mk0SHnO+cFlrQBT+EtlJsnESgElZOxeVS7jh/lFm5S89BFhssMBXcYQKRu41 feKvNQqKHmq/rH9ORuOmf23tOWlw67TN7FoHK55eGRjNi+LGe7Q1rTxt+DE0 dXWnaxTGiuYKNjWe4njjSWGBjLokfsrWdlb8hxQWpFKOMRHcj0m7vMHchw7g j+Se1vzlA5ijhFOJM0Qa//fWwZz2izS+rBE6w1IijVNOx1b7eEnjrC+EcCXi AVzkkF1Oy38AZ1v6nTrGvR8zWHDQVndL4R4953Y+D0nMFac6rPBDHDfYD7cM 0Yli+dbQUAlFQTwIzlioSfHiZ0rALm2SExd5ED/J8RL+zRdxVewoDc4rf1Xd GE1BP4bGlV7dzUFj7Gclp8oXga8duOM1QgXLbw7b1OxhhgsJdOW/PTlgREtH 0QY7D9wajdDa9uSDpOxkEBMoCKdb9zKdlxGBTGphISq3xaA5+dhM6Bdx2P7M md8tXAKe+T173JdDEorPG8uMeEnCagZJj+h4SRh9utGDeEcScmbLVpG0JSGB SLUpUy8B9RZhz08xCfghQOWcq4k4vHf8YinDM1Eo3PnW9oy+MNRouSV8tUAA ztUPlFf08MLvY+OMKk3cUK4yM0v3GQcczuIaOOnPAi0axJ9Wx9DCnDmVeEWu TYB6vjXKUkhAe3VVXOxUA+rb/LQq07qIgrFqq6LiLvI9hXJ/RNJj5Utqw0zp BPyJ+31KcQ4HnpANDsg6wY2pDdzLTuXsxVcCbeTJVXxYOTCg+dkTAbwmayVi zCGEP9JJiFC0hXGeoP5FLz4RvL3OmhmRKoJ9nOitqRtFcPfulbXETBE8gsqi Rg+J4PdbeTmeTsKYCakaRRsJYemVvXJXJwSwnDmD97YOP/50TJr5hwMv3pdb OsCkw4PXZfn2ByxxYu6HQa+CFtmx7TXJ3PYyZhz1PCbn5Qk6/Jsql7HLfQfl 2Cy6DLJRUNJ8zY1r2X2oaZvn6mTyL8BDy+OnHLEAhs/YrK1GbwFplsMlB/1p 4HTMQeo6O0Z41mjo0OoCAbaZUz4GcHPAQ3dbmB5scUIq5lL++znckLKaS3dD YC9sOm53UtKEF2bSdfntqPHBoBfMV04S+eDE3OaCgAE/XJXA8Qqu/NDY6lKp pBY//LSQeE23nQ869FraJ+/jgy/An8ARdV7Y5yBz4jbnXggEN1UDP3LDUZq4 yxbiXDCBcFJLxJkDXl4jsZTNs8Lb4sHZHT1MUO20bfH0Azpozz9wrZFABaXY XkQpE9dAOy8t5TU7GdSfi3YMeNoGVF91GTZ/6ET253sOjmfOIs/8i98rlNaR LOeFqK+lf9Hyr5225DFa3O1xw807mxHb0SfqSooQcGWrfQhFkx1zj4ke4gnj wCzbrSA5jxN3P88Nac3kwqnfJWWy3bjxyfya4Xez3Hj++IsHDJo8uKBLF8WZ 8+Do41u25TI8OCexWDWlmRs3Heu3HDzGjYlFAydqr3HhW0nylmLBnJii1/Vd w4IDxw+H1XzdZsO39XMrglkIOIBBZ6qxixHTth7cF+hBh3Xry1KrflBhm7T9 Op/Yt5DX1Thfr7MU1Dj9R6ySmoQOOW5rV0vWIpaRPzlybzqBxs06PpXMacB8 t8rthM4KuOCQWz3lvA1k3a+sK3BQQ6ejC/d8Vekg0XcT0woxQqUlVsNHpczQ PVarNYKGFa5l3m9022SDZNrvMv8l7YEyGZ3SZl4c0HvH6qZ/Pwe8o3WFh12I EyYVDHEuHeKEV35aSNxg4oQbLo+2Y8o44DqXsX+cOgcc69Q0bRDcA3c1q77W +7LB7Xtmj/OCCbBd7NFskzozlHAOYdL6zAAliNmXcndpYXpR2ffTPNQQsYod /Un7B5zuTE36+WoV8Prxibvsmweur/MvJHeNAIvUe19HeiqAlws4NxTdgYRt ew6ebZhAVkX3+jVKlpD36lf93ap1lHAg1185dAc9Jt4Ssvaixm6qmvjoCC2+ UEC+Pc/LgK8+7nVaZGbChxUP0gWXMGPhzsSZ51wE/N2/R8RQghUz/W33OjfE is9xCbA+PcGGOf4Yl7x0YsMWnbsifPvY8GSiCLN/Miu2OyrWxPqVgF973X7E nciCR2pa5e8cYMbRkrmn2QIYcbPBBQXR+/RYf2Gxr8yJFj/SPr5wmYkaM5zm bA1i30E1d3g/KNSvo222b+lXTShoezddQ9xiGkl1+Ft3fOtHLRWlEVSKxajo 8q0Nrp120LYyHTJ7eBzEXaz5ZsC8AMKevbkZ8WUFvGM9Sk7O3gSv9S+oVuvu AgP9To9NbWo49Hrn5Ov9tPBijMcXxg46ON7/dZpZjwEe3Cox1fZhhHk92hrr Nkzw/PvTyVZbTPBSppGSsjUzVCG4rRteYoYHshjJdCrM0GDRfePdFybYyUrI UN5mhNsaf7LPbTPAyPqar+GV9LDLus+jxIAOnmh+rZ7ynAbKMN665lhBBW+z /cy38NgBwYrFqRx7NsFHWiVC040VYL1WpVXmswA4O49kr2aTQMWVuvB713sA o1C22EHZfKBv+eporEEbuqlW/Kygj4iSraMd9EzI6P72otGkLAVVCITyXg9Y Q07n4yJsA7fQi0xPH/Z9uyhPRn4topwKv774usZbgQYD5yFRcV9a3BdgQpMS SIfpfbR7wnXpsZfb2iOJVnpc+fRURagoA06hLV3Tk2fAHnGuHK3UDHgjdSlW LpkeWyZ06LAv0WErOz7GH5x0uCCkhGz6hwbH3ld+wVtCjdXyiryPaFNhoobo vJT6DrImPeC2ydtElpy9wpFDq+iJ3XWW3wNLiMHFSWfalYxSxv1/f+gYRUxp SuFTep0oWatS+7hDFjLpKepPFmoGNaOX/UefD4PRckOxi9xTIDz+jX0yzSJg PnGn9lDdMiAlPgu2M1kH37WaeUYit8CnUZd+c98d0KqrlS5ATQVJEd+NHgtS w410N7duahpISlSi7Suhgc/+1F3hVqKFq+ymwsnBtNDK5wITTxQtLDVe0exw poUSja9qPtHSwlEK26aCHw1MubdwzLjwn1/8+CwcXU4F1+Z5/RhU/gKJXhfN y6/+gGtX6yWFqzcBV3lw6NfXa6BPvGfg8YllcFE0oLPy9gIQ2vdkqffAFNir 2aH9+PkI+MnNn1/a3Q56ktQZBMwzgawHQ/XZzh+oTThzcXCrH60xVbudMyeh yZrDVr/OzqKy3NkKz9tLiPtvyFL1ixUk+PTlPsWb6ygyFKeqcW6hZ7rS3Uds /6DRn1WOZ0/uonelnlujU3/Rl+wlRvpnVLhksYiPno4aq3ZOnX5+nBp3myhw XLWixtpGvoJIgRrfdpdjNxqmwm523iqmTlT4cXf7Op/7X1T45qliVOkOulW2 H+l83kZ01mwDV303UazIVjTVxBryVKFujBNfQSPcA5xmB5dQwqv14e+EWcRn HvKjIYKElLcJD8rSBpG9Yoe99XwrInpWH/Pefo0IckxuMg11IPaOVERg829A H/pRc5A8Crp/Gs2nyE8DpoxC/3XxBXC37ojorg0FzA2FVi1NrIDs885xL1XX wfAlcjab7iYoBX5J7NTbIFS3S+mU3x+gMMXN7hC/A4QekSyL7XdBJ5UjzbfW XUAxpX9OnN0FdGzqi57FuyD+GNt/L/ftAn4Lo8hCvR1Q3byomcvxB9gAgfSw p1vgUVG263jTBkBy5oFWtWvAWtrKZu7OCkBP+6uuM1OA6HTAbae6+X/cfAcK D0+DthmSKbXtGKBc1jnP/bEPXNeJcLTabgL0xR7H7n15Dd5KVOUv7NSglZeR MoM03eiavEhPXu8I+uTr4aIUPIG8aVYIuJmM2LhfrWy5L6L7Zp3m3z9SkLg+ 4Ztc/QpKqah62PxiDdnXpo2tKm6gXPbIL6Xhm4invA/O3ttCWb/36RhobaOe q/x7TmRvo7bWK5LW37fRsn/q8eyEbRRdetLVkncbDbc38Gmc2kLFi2w9PGAT NRHjaG2n15Gcku6U6pk19NxPv+7RvRV0/U6WUMstCrrorWTOaLiIlJqlx3x+ klEyr2xcQu0EonuRmLMaRUT1Hy5fkzT+jZ6yMZC70xtR9EJOERLJQO5c147z BlaBWoGZ8yaxHaDem+qWBP8QmFrpcusWGQfbVLGrefNTQL624tCza3Mgy4L+ o07zImgMutusUUQBXW05Ma22KyDN/cH454ZVcL2P1t1xYw2IUr1kHyKtg4eE ryLccRsgrIvzawplA+TbD8R2//PT0w6uonMTGyCz/pJAQ/AGkJHavcVRvw6q P7MUHexcAxfj3V/uy1wFE1WI6ZvaClBdSluwSqKA0XXnu99rFoEYgUC7+WgO qA/rlmbpTYMKE1oLmopxQGXJE8RHPQKE31RPtOp3A7qTabp7ixsARcJtf/po BvgV8Ge/vz1Cbh2Ham3d2tGA6DoX21IfosFc3Bc4R1HScccKVd8JZFHgI6X+ cAb1xCRQXbGcRyGTHRIXhxfREYXpowpuFNTUzuMsU7yMzpoECDL+WEGyUMtd JHMVRYkAMR+4hgzgRnBB2hp6Pd4arFm+hh7izzFHnq8hwtSwzEm1NWRcey6K 8N8q2mRi97uPV1Blo5XtrYJlJGtsmat/kYK6KhUe1M4tIi8BWfa2J/OI8S6f Ou/aDIr0JsbM7J1E254s4Y+2R9F2V7HIA/dBdPXzKndmXCdK5CzRWBCuR3vH BUzE+jPRowvFLEinHDiP5YjKr7WAsMxBrXy53+CHx4zafcMR0HA+/lmR3jiY 3Z2pYKKaAk1CsyDqOhkQ3E4G/k2aBzzHeOz/K1oEsSG/7NdHl0Baetvtx6MU sFS1/mQ8bxl87F88Ia69ArbWZBNpE1cAW1Y6y/LHFSAjLJKymrQCvodLhhfr roA7HN99/EuWgZixHT/vEgVo9+6l7NlaAjsZ8lEXfi0CQ3HtB8Lb88ALXfgo 9ZcMVN4TlnO+TIFtn1M/NVVIQFqoUmhPCBHQl5tGl+3vBxuNo4QIgQ7QKswT nt1QCzw1iqjlZ94AzzD2/uH4UpTieBB3JvxEksjl14OvXcg5taEo8OIg6nP5 csfNdhTF+8gU9tWR0PvsAI6LlCk04Gx/6VkHGRELJM61usyjtPJMwc9mi4gv 6syTKfUldEfK7kXB8hJirzwxdeImBVUGjio/bqGgDH2rnyOzFPSmNdQCdFNQ 5GT6rPK/v7QpoX1yhJWCWF/kv19yWEL87scvpIQuIvNSwSyxsXn03kGucDdo Flns7p5lqZpG0io+icfrJtB4wEsPhydjSN9tT1r6wRHEKFgqn6HYi1y/6rSr dbejSutvtQXZ3xE/yfm4ws5bJJzedOS+fjEolxWPGnraACQC56MTn3WAF3yM jXfT+8DL/5hk/7wbAUlpby87tY+BLVmZD+SvE0DHRDSh020anPLusNxbTQaS 6/cN77XMgbCXRi2D//6sxg8hjd6+i+Ava3JsysI//ocYVLvBElDRyBiLOr8E ZA+EoAzTJZCnL26XyrwE4p30s32eL4JsYtKU1vK/fGeVwW3kOA9IqwdIo4Gz YKj6L22n3gyw9ptwymuYBLp7yuqK95DA86mQJwNio+DnFw8dA9ohIAli1xdu 9oDF7IA7Z762AdI5ni3xohqQy1DA7suUDT5ZPDz189R7ZHv3SfSbiVrU78Ff XJfbjrTeMvLHS/9G4Wdu1S7YDKHTMaXOD/aOIj81reyUhnEUnrqyZ0N7EmXX Vo8L+Uwj2uSmu8Znycj4MUkzZX4WsbUdamNWmUe+G0HOt6UWUIvUu6re8gX0 U6hdbGZjAVm4Ok6FDy4gTs24TZfLC+j0JSMRy/R5NCvRMrAeNod8JY2qyeyz iCWlSuqF1QwaD7yUYmI+ha6zZZ9aYplAfk2jRpoxY6i0r3DZq28EedXyaiT9 yw/vEpLFRba60Mchz0KWh63otyHxRkN3Nbq8eXuynS4HQQZD0tapPBC7+YPZ MqIGSIveljw31wr8t07rWKx1gdTCv+/evu8Hk4VCBJboEcDnaOtMwzoGLO9+ /RlxhgSEJd9E3nacBEF2Acyp+6aB7lozA8iYAT7X9EUzO8ig14BgNvhpFuxU ekwPG84Bnz+VKvci54Ca4/TZ+//83s8sfSyWMAdm7RJ791vPAsqA7JGPFmTQ 8WVqzZd6Bqx87jP28poCU7s7y5cTJkDX3vcyk2Hj4OzUG5dd5VHAaXljvcRv GGxy0JP15foA05Ev9T8yO/+lAaqbzL+aQbtndI4DfzUY/njF2mA+B2St2g4F xmQhibZHC6kuVei8OXff2dEm9N0ghsmMuhM5e8QrXrXqRVEyH5O4zw6h8pdF emfCiUiopU6n8+UY4tpTMjh8n4SYz7JEXpefRD+L4zS0X0yh+0L/7WmvmEYb JsZYLX4GOczGkG8JkdFwuMlSuC0ZLYdtbq3+y+l9GZ2VlxdnUO9hF5K66Qzi ngpRizs/jXYa1O84yUwhnnk3V7tP/3jiJ4JjNCT0wq/ajYZ/DKXFBebZbI2g geAJDU7nQcRnT9/mGP4bFSpHRMY5d6CyoAGOK/uaUNFrkeECwyp0ujxynSLw Dj1wmJC3Wc0AyEqcXcYMA6eBRocw60bQd748nMXmF2AbMrvzxbgHzE+X3TVd 7QcRp8kXow+MgCPW97w+SY6Ca1aFdT3TY6CMnFehE0QCK8fXD5LqJoA918KG Z9ck4C1aeK74agpoxDdfOLd/GsQF+o5Wu07/46JPK2T/rz6j9beNMA2SbQ4f FQiaAo7WoG8yfRIYNzCmzUROAL6iN4a35UnAbdAlqvDlGFD/O7C0t58Ijmpz 5zc0D4Pl/wzcouP7ASHK4Wk2Ww8I28zSZzb/BYSd5X2d6xrBexcpSe733wA5 8m6S/tA70HeBUsWtko7mrOWOK/RXoFexmSL3iPVo352zVa41bWjMJXTe70IX Wg3MGrREvcj2gM/hgy2DSNv8yBHqmhG05/FK0rr3KFKUKWV/PDaGsLu/2ZIY CREtwsfWxSZQYNN7K3HiBJotfCqbduEf/4vf9U6/mkQWVcdHSGmT6O4KhZxv M4keLpryf26fQC2VNVyNrBNoZqS7zopAQvHWtHUebWMoRplxttxpFEm9um8f VzmCmisuTtoODqLBwxb1bxZ70fTHfEazb/90G6CtZ3quHf1ISH5p/egHWpqo Cfss/Q1xSgg8L4zJRSH8XwIPGSSDyey+fcrVn8GxAJXrE3m14GXG8rRjUQuQ qEgPOP+uAwxP2KUfxj2AtPVjii62H0wn6G2lEIbB9X0eJBM+IkhjNDexDBoF L5xnxg0yxsArhUfk/YnjoDBbUTf2JAkoPWt3qvpBAlkL5Kt5TBNg+YJr6Djz BHhd5df3vpkEfvfQx/395wcv/Ed2Lr4eBxdzhEvFPo2BgaWwqJ2no4BXlbhy ERBBdvg8V1LgMKCPasiUFR4AdbrkBcOg32CnKyPQ7WknuJNJbssKbgPmjfRT 3l4NIPbz1KOYsxg0PqA5N7k/DxRUqBOSmeKRve8069+1T+jZNyRxtKAGXSm/ oykj2oRIhx2ePBX6hfJtDzfvLHYhyXOwZDKiF939fuVqZvMAmjv/K9S5ehg5 81Xvf32YiP7YLYaUnxhFzjUXH7+UH0OMtJ1mTCNjSNiza9Hw3DiibvPeNk0e RzI4MTgnbRwdYPgvNPbSOIqI6J9s3R5DuRahzv02Y0hJXLyoLGwUvX9a5rnj R0RTQvVCrWojqITzfOvL14PI5pFmlWJEHxq4N6RkJ96DGpsnYW94BzrwIJZV 0K4ViRVFqeS416P7G89+l19DyGIycnw9Nw/tF0Ti5O77gFolai/yLQZMpXZ6 TMNVgH7jneRQ4w9gQ2h5zVTcBm7IygaRTnaCeW96euX8HrAjUaL563sf2IkX 3O8bNwj2PFfgO0UzApZSk5fm2IngSZTs8uAMEZRXT+zMJ4yCiB9sVHeZxsAf X97eaKMxsGOak55sMQaa78lr10uNgW4ezuu/qv7th4y4Ep3cKAil87dXdSOC pgu8DE1XRoCc/buwM/FDgGshZshxrR8oyx+fsuLoBfGiLvsSJ7vAb3XqDxqR v8D8KbnrQ6RmIF1zpftjQB1oizr4ZuNFJWAddRXlE8kHGlMhl2Suh6CYp7qk GukPaJy+0bBP8xtS0yr8bFtYj+DtaM/+7hbEM9R3crjtF1q95i8DdrsQ8bkj aXbmN2IdmQgkxPUjvTQ/65ixQfR2x/io0egw0ulTSaX7p2+pUk5ZS3ciEm5n oQ7uJqKwfk5bv393/GFRhWadxCgyr4jVfLBNRE5an7KtM4koi2VZzUGQiEjr G8fMXEbQMeX05++3hlCrBcdV+4EB9D+k69z6 "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.883720849774865*^9, 3.8837209042718687`*^9, {3.883721147029759*^9, 3.883721206057273*^9}, 3.88372200428364*^9, {3.883722130758728*^9, 3.883722161815539*^9}, 3.883810284796789*^9, 3.8838125900189657`*^9, { 3.883812751688027*^9, 3.883812775823365*^9}, 3.8838129122125807`*^9, { 3.883814393937422*^9, 3.883814417980858*^9}, 3.8838144827763453`*^9, 3.883815422969491*^9, 3.8838154838757772`*^9, 3.8847695351040497`*^9, 3.884770981625286*^9, 3.884771036181451*^9, 3.88477553993146*^9, 3.884779943163752*^9, {3.884780499717718*^9, 3.8847805075371227`*^9}, 3.884782509121031*^9, 3.8847833091445704`*^9, 3.884844593421431*^9, { 3.884844840639995*^9, 3.8848448454133043`*^9}}, CellLabel->"Out[67]=",ExpressionUUID->"738a5454-8067-4a07-a08f-c395fbbe6a7c"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{167.04915198352606`, -0.00007785918302204422}, { 170.46784494870712`, -0.00003256479031650178}, { 178.3478553976775, 0.00007261778261466917}}], LineBox[{{195.6896765410651, 0.00007261778261466917}, { 203.020725346189, -0.00002272409894427845}, { 213.59390761162396`, -0.00007785918302204422}}], LineBox[CompressedData[" 1:eJwBAQP+/CFib1JlAgAAAC8AAAACAAAAKOiq4c3/a0DGXD+UCmkUv/JJ9988 mm1AZsbuc5WmDD8fkEDrI9BvQADo9gTYrA0/z8+h7tj9cEBRtwcJ+lYQv2NV 5aPnAHJA5/8QiH3U9b5Ljbs64RlzQPIzBKYa1wk/B8PTjSIgdEA4Cq7uPOLB vherfsJOPHVAl6CR6tdlAb/Qd4ZqTlN2QMJnS7rqP/E+XULQzpVXd0BU4BSy 9Ar0Pj6/rBTIcXhAtI19K4TI8r7yOcsWQnl5QNHF7OL0LOC+UJlGjI97ekBJ eSVyDobvPgKrVOPHk3tAE09Y4mj7qj6HuqT2R5l8QHZd+FNqSui+YHyH67K0 fUD/84rW99/MPuMix1Pxyn5AzoCHmtxc3T45x0h4d85/QOrbfT5SYdS+8Y4u P/RzgEAajWL1+AzNvjC5WaBQ94BAkUXDdq621D7EVTO7FniBQFjRWP7Kvrk+ gkvWRtIDgkDGDviXOBPRvipAmrAxhoJAQoFjqha/iT78jSeLhhODQPlfVSII Rcg+t9rVQ3+Xg0DTckIbTYy0vseZMrbhGIRAFKDzCO4XwL4BsliZOaWEQMbF WqgYZbk+JcmfWjUohUBwnnjp6N+vPnM5sIwmtoVAzw/suWA0uL4WHG94gUGG QICjf2u5DnC+ov1OQoDDhkBP9+qTdhezPlg4+Hx0UIdAcPrCXX+glr74ccKV DNSHQIpwTqZxgam+7R07aA5ViEDELrByrQKdPgwjfasF4YhAxOPFTm6rnD4V J+DMoGOJQE2LfkxNOaC+SIQMXzHxiUDedP2zy6aDvs9T56orfIpAYlO/8kMY nT5AIuPUyf2KQAWsDhVt61q+20mob12Ki0DqLaoTkAqVvmBwjuiUDYxAdUUe vem0gT4P8D3SwZuMQIFRBcg/qog+E+KbdVgnjUDWrG7pMe2IvgHTGveSqY1A QQziV/7odb4ZHWPpwjaOQGXSxbX8Q4Y+G2bMuZa6jkBc0PE6Rt8iPuxlH/f/ P49AUiadjXsugb4FyX1j "]], LineBox[{{29.896721232215036`, 0.00007261778261466917}, { 30.225003168743285`, -0.00007785918302204422}}], LineBox[{{56.96750263758899, -0.00007785918302204422}, { 58.193645842009175`, 0.00007261778261466917}}], LineBox[{{82.49100119581398, 0.00007261778261466917}, { 84.43612742165216, -0.00007785918302204422}}], LineBox[{{111.74735446021448`, -0.00007785918302204422}, { 114.65686386341311`, 0.00007261778261466917}}], LineBox[{{141.2111486757842, 0.00007261778261466917}, { 146.3898258290117, -0.00007785918302204422}}]}, Annotation[#, "Charting`Private`Tag$852579#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.00007785918302204422, 0.00007261778261466917}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{167.04915198352606`, -0.00007785918302204422}, { 170.46784494870712`, -0.00003256479031650178}, { 178.3478553976775, 0.00007261778261466917}}], LineBox[{{195.6896765410651, 0.00007261778261466917}, { 203.020725346189, -0.00002272409894427845}, { 213.59390761162396`, -0.00007785918302204422}}], LineBox[CompressedData[" 1:eJwBAQP+/CFib1JlAgAAAC8AAAACAAAAKOiq4c3/a0DGXD+UCmkUv/JJ9988 mm1AZsbuc5WmDD8fkEDrI9BvQADo9gTYrA0/z8+h7tj9cEBRtwcJ+lYQv2NV 5aPnAHJA5/8QiH3U9b5Ljbs64RlzQPIzBKYa1wk/B8PTjSIgdEA4Cq7uPOLB vherfsJOPHVAl6CR6tdlAb/Qd4ZqTlN2QMJnS7rqP/E+XULQzpVXd0BU4BSy 9Ar0Pj6/rBTIcXhAtI19K4TI8r7yOcsWQnl5QNHF7OL0LOC+UJlGjI97ekBJ eSVyDobvPgKrVOPHk3tAE09Y4mj7qj6HuqT2R5l8QHZd+FNqSui+YHyH67K0 fUD/84rW99/MPuMix1Pxyn5AzoCHmtxc3T45x0h4d85/QOrbfT5SYdS+8Y4u P/RzgEAajWL1+AzNvjC5WaBQ94BAkUXDdq621D7EVTO7FniBQFjRWP7Kvrk+ gkvWRtIDgkDGDviXOBPRvipAmrAxhoJAQoFjqha/iT78jSeLhhODQPlfVSII Rcg+t9rVQ3+Xg0DTckIbTYy0vseZMrbhGIRAFKDzCO4XwL4BsliZOaWEQMbF WqgYZbk+JcmfWjUohUBwnnjp6N+vPnM5sIwmtoVAzw/suWA0uL4WHG94gUGG QICjf2u5DnC+ov1OQoDDhkBP9+qTdhezPlg4+Hx0UIdAcPrCXX+glr74ccKV DNSHQIpwTqZxgam+7R07aA5ViEDELrByrQKdPgwjfasF4YhAxOPFTm6rnD4V J+DMoGOJQE2LfkxNOaC+SIQMXzHxiUDedP2zy6aDvs9T56orfIpAYlO/8kMY nT5AIuPUyf2KQAWsDhVt61q+20mob12Ki0DqLaoTkAqVvmBwjuiUDYxAdUUe vem0gT4P8D3SwZuMQIFRBcg/qog+E+KbdVgnjUDWrG7pMe2IvgHTGveSqY1A QQziV/7odb4ZHWPpwjaOQGXSxbX8Q4Y+G2bMuZa6jkBc0PE6Rt8iPuxlH/f/ P49AUiadjXsugb4FyX1j "]], LineBox[{{29.896721232215036`, 0.00007261778261466917}, { 30.225003168743285`, -0.00007785918302204422}}], LineBox[{{56.96750263758899, -0.00007785918302204422}, { 58.193645842009175`, 0.00007261778261466917}}], LineBox[{{82.49100119581398, 0.00007261778261466917}, { 84.43612742165216, -0.00007785918302204422}}], LineBox[{{111.74735446021448`, -0.00007785918302204422}, { 114.65686386341311`, 0.00007261778261466917}}], LineBox[{{141.2111486757842, 0.00007261778261466917}, { 146.3898258290117, -0.00007785918302204422}}]}, Annotation[#, "Charting`Private`Tag$852579#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.00007785918302204422, 0.00007261778261466917}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNlHc00H0Uxq3MBiJC9kohikr6/rLLKNkjKVnZr0QZ2ZtQRmSTvfe8P9kz eysjCckImeXtr+fce557zj33+ZzLYWSrZkJIQECwSExAYEuecyIsMwhzkas8 kfoiCDvdUPZ5ViAIY4yKVv4DgVhg8pk7C2KBGOcPdo7e8ADM2H6BnK/fHwuP +r4dteuHNRxETu2Q+2Femlcea5P4Yiq1bicXV7yxz9PTPAQtXhhFqTsrbZgn 1rMzuvhBxQOzs89mSid9hZVkdb14auKCZXrEdI/XvcA4bfJmeGkdsejSuWtP LZ5ho9/trd922mHn+mKtu22sMLOlvehOCzPMXi1PPy7CCAtI9jjOP6KPmYyJ 88GhGqYovfk3QkEOi3fna7xWxovFHAi4V/qK4CafA6P1duXwm5uNNX6bqvjI kuAfYhktvAbzlF/4rofb0nxJZJ19iHtGuq8kMzzG85yzBCUtjPAtghRyMYsn uGNGwX+nmYzxg8CjE6RuxvimEeWbwWhjnKg6m7jL0hgP3hxhLCUwxmlP3l+p 0nuCMz/iknroboTnyv8OMXN4jHPUGB11YI/wQ95nDpd7DXBXVxhd/6qH63wR 2CTv1MYXaqEtIlQDlynXOvNA4j7Or5E0kV+phHdL9Cwv78niQ97r9Q+SJfHg krEH0VeF8U+qOeROquT4KyETwouLHNiPGbM/mNQVbLBGaS2iCWHfY4WSzEVl MX7WMrsbgbex4HK9momHyhg9Kal5Tf49rLIy4zv19ftYLKvC/ClNNcxc8oR4 vYA6FqNgYdJTo45N2E6G1pBqYJk8yoMV1BqY9NGDVwmT6ti0zNjPOQt1DLu6 GOvdqIaVUdU9/rVwHxOq5X9A+lkVEwxRaOlTv4fhoa6MhBnKGLMx97u22juY 4dxkm3eyPDYTRVCSaSiDCV3sOB9NcgtTJ6YyOyZ2HdMYFirO0BHF9u1Z3tDS 8mGfvF8ReJifxnryXl62pt+Hc+XdsGjIhtu6JhsPPruA97eJC3y9dhmPpyIz 1rt9DWcv9j4f/FkSZyfg/NjodAu/X+PJH3dDGt8ifn2jsFIGt9gy1bu/LIvz JGjIVg7I4douxYK7dvK46i2NTKJWefxdyJJfxKA8PkzPSswWL4+T3pG9PsIp j08xSml4W8rh/KdJXns5y+KMOylyBRoyuO1tfWPlIyn8QrCt0oH7LfyTuBTZ zeqb+FXBgK5ocQm83Ff3q6WPOK6y531cslAUP+5gm7PlJ4jHJTaoDcXx4OXU eOnuE2achKzCrCOUDG8W+jA5kP8DPRhjkc/gp8UE97Nju+nZMYcl+66ufF6M tTWI9H33RWxrZb30iqgIdl1380NR2WXssqf0talFMcwhzmx5qvMqFpLjVz2v fR37u99LIPJaAjvOUepMan0DSzg87Z+zdQP7Olg9o8sriQ2E1m1IkkhiwVdc DnQjbmDPpqoUffslsMdZX0vvdVzHGAI5ojfdrmEMDdkfbm2LY67cTLifmBi2 67F0zEPuMkbGPxomcVEEq56OrCOeE8QoXu51hIufxygHdCo4TbgxNdNP8lZ7 rJhiDjM9PyM95mW1S5jpR4pxK3/+ZGo1jlL0hgI/Kh3BBJnQdNcMNS7+vIE8 2OUsPj334M6vVnacGV9s0PXixgswYfT6Ox/u90G7T3NNAK80rjYufyuIFx7r Zt3tFcZ3Jp466fZdwqX1zt6c8xTBmxTGqvgPRfCaSZv6h5gorhqzZaWqLIpP C+oHGHCL4kn0D1781yGCL+Dfn+7dFMENeY4/m/C5hC+scZ3tlhbGPc3bReOE BPH6CR+cd1gAb5dOKCXG+PE+gdEIkec8uGDYe35iT058t5TQimiMFX+j3OIV 786In968uUJ/nBa3jC5j+8lOhp9giOY1cduCIFEx1/sag4jwqQBLr90f1Gwp v2wXRIl1MDIciM3SYlvU4rN3ORmx0xWpnsSHLFg+yZ/2D8Xs2MnSaUfNTE6s QT6qmV2fG3vKvXDrRwcP1rdCzm+78Y+HwDU61MeHzViF6+Im/JjvmWTaiyX8 2NH5AerACn5M2ma9ItGBH/uiMby+usqHPViKsszm58OyyKYkEnl4seucMUzC y9wY66+aV5gLF2Z+vD6d6wsHps/2dfI1Izs2qOfkQPSYBdstfr/4VIcRu06H mBi46TBh0RCVlZRT2B2DcJfVUVKshTXrMJvsEP3N/t27uD+Prl8vxN13J2CM QzbSzXUH3nA2UHW0E+MXrASes1hQ4UyykpMZCjS4Y1ipYcpbOpziUoGzZQQD Lh0hFuoqwYSffmFo8DiQBZd8p+zT/JIV/61m3H6dhB1vCnaxL4plxy/zsQv3 H7Lj73pDbSsEOfDlTC5r0n96UCpOvHrAjmucO3aFKZ4dlw3oti86xY5be/on BZew4nr3hBRzdljwRzGk3ebbTHjtgpsJbSkj7mnJl/Py2hn8fvibyOnQ0/hs Svvf8VpqvPqo7s2zaCr805j61mzgMfwJ8QXz+ba/oCDlob9o9QvO9eXWssaM geezWO4LBaPovJp1ysuMDeRAe0mHbeUQ6aTucnT0EmO1GsfT6AbJsZTbHtpT z05g4cdMK4oHqbHBW2/IhEpoMTn5oueu9+mwh4TRNG4F9JiAm8jwROsZLJsx IeBELAO2Tp9losvNiDUVzvl3m//jRHRbUsKMEfPesLh7hYMRKypjeEL0z9c7 3R0X038G4/I6H+z3iR7LnJtv23xLh/k+PeLy5z2NzYQ3T+oH02Bn1FdKpsNO YRkGmWHczVSYks2qchpOhn2ssOQffE2MJb/RPtHo+hep3WEQOFOxjaJ8XrNv tSyhS95+BRb/9aG6u6ojHGcGoEHvoV71yBJ4E8wM7/zdgle/656E5R5Cjv80 2l4lxGeyFzUUpI/huaoi2psK5PgWzYVCkT1KvE9FhkpJ9QSe/ODek9Tbp3Bz K9MpA1tq/MseXwcbOQ1u81Ey4Y81Da5M1rS0mkyDl160u/gyhQaXWCbWybWj wc+G1O8yUNPgnlJhxz95UuP0wlXqKeGncImH/tzMPSdwM7Hc1A84Fe5l/ovG 35YC9/vSfO7dPCnucPnckQAfCa4Zszu6gRHiGR88WDtsD4FsZ2dN+dJvEBKy Ei/KXIMezFXMZ3wOQGaGd9O8HX7RLUekdnWglaJW1u3cOXR7OO9dmN0qSs4w P8nXv4XKF2J33Wn3kaCg+7EXa3/R5tqnPoUCQuznxsTzz5nEmBvp4G+JR8ew 4rq/Z5YHSbFXNnNNcgTkWJlrJYfbV3LsWrmvZKQrBSbaom5u1EWBicSffPy6 jwJr6Em7FRBKgRE0Kpp5klBgACedjK6RY46lygH4RTIsaXa3ofPbMQxUz7rK mZNgTIo/ROyqiTAv50T1vS8EmNjlscSR+j8ok4Jr4bL7HrqXXNnKemob9T49 hA3ndfSAOOTs3eTvqPD0/XeddlPoP+UDsUWjJrT2KEid9O1HcNbwDfjbMwH7 ZU5a9GcW4EPslLKL/ioM9zNlsNNsAqgdkKbk/ob3ahE2mVt74D3dlZIzfwjq YounsOdHIBpS6BLRR4C3GygGcZUQ4lqVa0tLBkR4fCOzL/0gEU6sUsr+jIYY J9f5MmJ+lhgP9Kb6vfGDCG+1SNeODSLCT2QOyNnvEOLn6K9TUYsR4nPX8hVd 5QnwAh8fd52Hf8FSPPvM8rcD8BS2NPp7YQ/CrglP2l//DTfGB09HM2yCfCiY MCSvQb0WK+Oj8UWAcnXNndVZgAo+m/ilYYAbUhJbWziM+mVf1iaqRCaVQ3Le AoPIaalU0+LkDBKiOn5jUWIB6VcTHJFSrSAhZ2HFS1XryObtHd0joU2UsVQ0 fsN4GzGO4UrE6jvIpK6F+N7OLnpg2sl0oLKPJN1IOjo1DhDwlQlYUB4idhdR J2ubQ7Szv1Kl4nmInnYmMz+RPUT+xhYrU9UH6NpVeuvK+X3k9cghpbB9D024 m0qLWeyiag1bUv1Pv5Fjkuezlv0tRCaRZvdu+xcyk3Dve9KyjjbuP2djnVtB Fu9WjgUefUdMexmPqzbm0NR3dVWmsEnkFqBM8oWtH6kTpnuf6alBspxTuhM9 eWBdf7LpvFYXmBEWes2bjMIv4Z+TD3RmoIGycmG5eh4oOoKbS7oXYeP1yo0J vxXgOe5ekje9BmYyO99HzDbA13tHVCPrFzCHkzdNFWwC98/AqdyXWyCmyHch l2wb7ijKetnrbIOPNmGdnNU25I5BC7XsNvwn2Prz8ewWNC5dCTKS34KM48b0 n55vQnRGw/R3+1/QcNbA2VZqA6bvtBDwd62BeO9ib3fbCowLklJGey1BohLB 0NCxBYhlTsiQeTAHSbT7Aj0cn0HLR+7jiMEwHBiWZPKSdoF0YYHQuaQKSNIP l/PbSEaCLzPnxJ41oW2C8UqGM/3oRjBxmhb7GGrvfzAg3/oFDRl/S0hxmUM0 6ZJ059S+oR8sE93fp78jxCbJd5NtGdGNaMSq/OPARz4vQCH5J5ojJpUwmFxF TLc6htpq1pABcyv+lXUd2acG3FcVXUdk1epXlBjXURcRb/hc2hpS8whvyPm4 ivKzWlw3Q3+iJ+OPfoSfWEHJ2ucy6OWX0ZOLQR34zUVkFpLjaXzwDdWsiqrr +X1FM6XmT4wWZtCmvRsJp8IUcjh21dEyZATlLoQ+9svvQ5rFchxTji2Infb4 BRqWUlRTSX3UtxEBkbf5eWXe14JWkstZTsIOuHOy7k3S534wNDy5JbA+AtV6 KtV2uZPQGF289pNwBhKTzFrCdmZBZKZ7jLfkK7S3LrdtCX6D83QeX/fNFmAz PIzyyOA7sD33uvv65CLM7Tcb/XmxCBSRfTOmCYugnmprm+m6CPI872e1GReB wzXKtMX+O+xPty99f70A/vvmLVp23+CH2cTqDeZ5cKE3b5OLnIOcyR6ImZkB q3HetWdUX0DunCCiPj0B5PVLOtj8MNyi8nN4H9wPil8z635d6ASeevt0f/aP UHrlwtqDc0WQ7GqzZkP+Ch2nS2uV8i9F88sxzBnqjcgtLbO7IrATOc2aNSrx 9yPCESOh+51D6KkyL+8BxxhK7aw1VOWbRAfZFYGPBj+j4XIi6/PUMyiiIzu7 imQWhdzQ0nnXMotEkOqLuPtzSFxNXep81hziZjCgke+YQwRmDHV+5XOokCxT kcZmDvF8rkTRW7OIpNLc9o7SLMJvicaNO8wgL+rjQT2LX9A9AUWutbgpVNZD f2eSbAKljzj7/7o6ivY+FmcwXhlCvo1B+bHH+hHdn8wXLFZd6Jh9PJt7YjPq 7Zb6KWhVixaXXTA5plw0autTdTVbGbblo0M+eOVCGFvQW+2FGhCtW/Jqb2yC 5zGhKWx4ByQiYQoi3V7oKLjIpiQ1AKkG/LZ1MUNQHld8wypnBCSZC2RbHcZg WPpY4+nNcch1FR7y5PzHw88sQx7CKXD24NQ4DJ2C0g/WZivtU2DsS6mOl0yB hufXbBaVKVBdozTyjJuE1s5LV8QSJ+C86drOzQfjEM24yX9/fBSaGbRamphG QLNbrvoF7xDQ8HOe+kQ0ALQWL27QWvfChrT8jHdEJ3CbnlWI92wBrfX8dS3l Brg4Gq+UTVgBlsEK0k1VGbB1rsJkcdgcHLuLRYJk09BmOqan2liKAke0B16/ qkdc+iuJQw+b0MvlGk7Ksjb0Rb15i7usC0mZ/jn/SrMXpZ4TMu9T6Ee8wu+o C/IHEMFE3Zr5+CBi0s4yaWj/d3cP3TAe52FE0PM+sG5lGIUSRNfrs4+gdd9M qUD6ETRsp/bQsWcYOXT3K+3dGUaFR6+lfEOHUP/luS3294MovOhhlr7jABJR 1Fi/xdWPZv/KZkUr9yKbgG8rueTdiH+4f4bJtx2Z+CQyNXQ3IwMnK4HJ5Qb0 Lb5Ec3K4Gm3kuGpdKS5GVpwF6MTfVEQzIHzWzuQ5OkNzb169Iw4e5axNmFLm w+HUqrntiQrQrLn29uHVepCt79bW3f0I/d3pmDpdC0zeffKJdrENVu2qXXas OuFqYsGgTkI3/N7cXY9w+ASL+m1bFGu9cLF5oIrFtw8ISOeeaM31gd2xqjrC U/3gFGUm40jVD9TTO5thY33g/Xk5JcepDw6b7lFeG+4FX+59Fl2zT5DbPHad Nbcb8oTuGhZmdMJvylmTuUftcOvbJWqe2Rb4eSJzyES4CWy0BzMO1Bvgb+zv U0yFNUCgoHP3p28ZMAk4Gre55sEl84/O49lJIH0gliKEvwQDYq9HwzZv0Jps kt017Q/o+gk/9Na7CA0SyXio0FUg/YM0Fb97tejnNoUgLV0Dynfr8Lt4pxHx aF2Z+izVjOr1uq4W7bUg3eYS0W2rNpR/pNHb/a4dpRMZ75136UBs24tZQ7Sd yD0zO++pYScaz4zj1XnciY4iFLumznYia2m2g/2gDuS43df/rLIdsaTXqtSm tiESCp3yH6qt6OJZc5PK1mbkQkkvrkvRhB5cNMzyZv2IUjVi2BIZATU815tS KalGGjR2/1kzlCMPlWDXPM0i5E9P+350OwOd0qVh0tGIQ7vKzGkhbC7Ie4hx j5wsECaufzhzXzcJZpV7sl83ZYGjxMePSpVFUP5BlrauqwxGrbmej0ZWwbv3 9OZ6FHXA5SspRseBg/pRTYjrcgOk2LQ7vTvVCD2hSlwRfxqBsmV6qa6kCWwL nc8xCDUD3+/ws7dsm0FQtizIxbEZ4rvO7ubJNoMW69lktckmMJKmrn8l2QQk NOeVey0aATtz+Znx049gYsicMXyjATblNx8qddfDOoGaj+V4DTjGTTrZZlXC fTdnX0ymDIb8cz4JlBUBXUDzbARVDqyvXGyv8E2F4qzYhNqxKHCa3jwznOkM p9VZDNzzPdBAwfuvdgQxiD1QinQhKhUxspGkNOpmo1blV4d6NYXIa7P8V/dg CVq0LQt2CixHfKwvE6t2KlFvpIzxH8YaZPLMoCJ5sRa92XpOsmVUj1RJxV7I +QJSGNu59VUFR+FxKZQsdTgSPCuRI9mHo3vbabTBwThqd9/IQeuASk9U8joS AmIqZiK70FSHGgtvbHBK1KJVxQGqactqZJUWGhf4sBJZMBfRzDGWo1XGkmm+ 1BJk8OeWIAlREYqt8sr95pGDWu8xVWp2paPwhm4rpsUEdMrFl6KI4Q1aYpl5 rcr8Eo2NNu04ZDwHoQbnpbzxcCAj6whMWH4Pm/n3VhOwNBAmri2iQ1lQgTkq Us/nwQu28ujjb4tA48nH7b+uJfDDtIHu+YUy8Pk6WFoXVw4db0Zgrq0CYkYW dauKKmHzZWflsHoV5LH8VxtXVAVTzMZWgm1V8FH5vpLjuypgNt+PZeKtAp03 +wUO9pWASSzaB3lUwMPybX4ijXL4MPQwm36jFFgKUq76PCiBqkv5HN7vi8A0 JbVQzywfdrQSHs5rZsNGcvMxslMfQC+Uv8svKRne/rK0beV/B/2tXJHty6Gw IJW8P3rgCN6ZLz4PkFqi8LNNl5hSA9DuyJ+ksL1I1JrwxtJFJgGdI8gwzwpJ RavMrI+jL2egt5SERa6h2YjFIVFL+U0e6o8yDCG5UYjYqivnZxqKkDTB2fr5 omKU9seLu8OyBGniHc7G6yWopv7eZ35UilLYn/FyaZai+DAjmV2xUlTiVbw6 M1uCXGxuzqXp/fOVLUW/Ti1GvokGeVZ1RciU3/nioVYhWmHyezi2kIfaE3Vy XC7loCStA+MoyUzkblFbrU+Xjsx8F6dtPyYjEsQp7v0+DhlwphfO+71FWnUC QzMlAcjLlamQMtEBgbEhD2W+IYgnKZEubXoCe0iJ10m/MGD389umko0GpqW2 r4xW8ZB+yftnA30K8B6d1j2qTgOeTwaRpiwZMPPxL5HZ1SxQev8s9i5pDtzl jldV882FvDuK65HFeeAXdvz8hcB80I09PGShKoDmW0OvjK8WQDTZwPbSyQK4 y7Ht4vY2H3ozGkQ/teUBlvbrkmFhLtgLGN53vpsDj589oObIyQKJc8PZB20Z 8F6VvUC+IB16KzkV8CepYPh7dpBlOgkGfA1NTUvigOOpk/64ahTkEGycDI0M g5mI+Ie3DXzgmqlorM9Ve3D2eaLk5KOKBLv2GOZpnJGQ+r5MfaE/cg0KpVLb CkfG03dUPbqjEHvBUwmqf39u9eTCaKZ7IpIj7CmO50xBv3KNsK2eVMR0Tl+K GaWjmIpAI1K7D0jxwuuJJ48zkL0C7VwidSZaS62lmnXNRLk2zX40GZkI0/mm ORCSiTia6oJcRDORfvm593SxGahUMnFZqekDSq1TzrQqS0cBbO9Z1O3S0Ftf mTTDgxTEJcitY66XjA5/hoeq8yQgo+dU1tbqsagQt4v6pBiF8tyC74UxRCCZ OVnJsyGBiN9N3DewxQPlanwNT+63RY3LRJsOg9fh2E+7WBixB9YppobQTk9g Oegj/TwcCAfMJN+56sJB6SSXNce9SFDuOnL8HRcDK8Irq/ExcSDxWbiTCiVA viaHv3xAEjg39TaUVSUDWlD3GXdOge9pYZGyFKkQ6pRAj/7lUUAZOZ8akAqc Aooxcy9TwaC1aOXgaipcizsOTs0pcGfnpq8RRwrEmMyFyd5PBqUfvVsiBYkg w36D0/8fZ/4quC3Vt1hYH3j4e54tBp7eDP/SxBMJ+so3SduPwiE3MqGwyyYY JqYEHaPyfAB3TK8hiXUB1z9EetkBlkCkFUJw8hrUV5YXZxZQW6KDGzyf3pc7 oyG7MunHxd5Iejbni1JlIGq7ZX+c0SAMXZKT4VVRfIN6jE/3BmZFouyWI7/M pmiU3nT6zufod4h71ND5JmscKq0i16zXeo/it8fgOopHNQeWAS8H49GJCIWz gmcS0G9jlcgfpAlITbbVTzAzHlXW9kvI7f3zUwp3axC8R6/GTnJLN8Qi97mJ Y9k33yHSukj9LrdolFAYvOXuF4nOV+wusT18g77Wqv+ypwpH5t3m/4ldCEZm iTtKB2R+iPQJZmVU54G4uNbehhc6osoGYxu5DDM0fjf2QSvbJXT9MPT+ntIT eJXu2/aJzAHu5swyVZO9Ao1r7LP1Ld4w/lRGW+VmADTr9txSMQwBxxyP6h7q cGD78PpFen0EBB+KrGuJvoVvB/S9dZaR4P7Cz8LQLAqqaU4MuHFFA69XUM3J pGiwkCLxbhiPhpbbAwI7g9HgKF6v1/46Gjg4w8K3qaIh4E+Yz7xKFOyX+C9E aUfC6quM8LiLbyGNqk+TrD8ClEnI35rdCYdxmxB9A7FQSKo6rnM/MhBIJEjP D9X4gqp5SuirMk/wFD++Zs3kAoRBP5xZU+3BlnXZI/CSMfxny8mgc/c6OK/c WaiQ0kfj1oxJeYQ26FeEvrTJgiMKcUkz0rB6hdyoP+Un4F7oAw/zyWRSP0T0 bomOgzgQiVCZSBIUBKMwi+laFsLXaHeO2c9oJwx1LAjTWbSGI/X5+vrbhhHI h8w/3LolAoE1m3ngbgQapSHEpv7ppFOthGjbv3o6Ek0bRyBnos9nqgfDER93 nxr1mX/zdTbd9wxeIxnrBQNtqRDkuuW2rzQdiBpt3d0XkT9SJUxaeW7ugxxu DbOVGHuieYUmY8uXrojVhdOvZPM54naSXHoabYPuGWCqJLyPkZDqlLL/zE0U lVJ/2ZVEHWYaDEpb7ExB2qmE8anjf3BCxW+jzsIJ1LzLC3aPuUFURinnbxZP GBcs/DXt6g2h7RnsFAm+QPTsLm/gC38w4y5kUaQKBAfHlDZqtSAYELjN4aUY DPgtsUe8m8Egc2fz5VOlECB+nikQqx4C7a43I2aOh0BwBYWj1MtgcDbb1A5+ HwRMGb8eqzoFAg3s2Y5RB4C8Cdc9Wms/6BqVfOod4QO6NkanxH28gPSFZVyG kgdMD/teMfzsAi9mCROXFx0BG1G7l9L+b/8kbarFM08hY7DEOInQAATehYo2 mWLAxVNi8IxVEYn4XbQ4xB8hrRR6g+5kC7Sp8Fpgn8weNdXcVfBwdkQ/tDsT C+OdETPB9S9Kxq8Q902ZRtZ5DxT8cuu2+iMvJPW3CF6meaM3tw/4tnJ8UI6I xuKQgy+if1mtP3vki2JsjB3eKPmhH6eIn5zW8UOE5X80EK8fYrPx0o2p9EV0 qotecid90XDv24eUgj6IbbNs9iqDN1IOOf4zvc8TOU3LhiYbeCD/J4W32n3d kCzdKD0FlTNi+0mo2aLpiLqDTE3E/7NHFLdH3oz1WyEz+dvSOhHG6K34A1eJ /3RQvH5258oeQqEuXGJXXktBbPisyp1fOlB0k5WnSckY+i06k0pbLaFOQLhP xvI/8Eu8S5pe5gC0Z8MTVCudIFaT4RuJlTP0NBFs/NftCjl6nHeVB1+BkjCp 9gXkAQSqU3VX5jygdvNcSq2GJ9QN9pMpRHkCBWbdtZzmCe1Xty/Lef7r4+QM LkKe8D9xSLbo "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.883720849774865*^9, 3.8837209042718687`*^9, {3.883721147029759*^9, 3.883721206057273*^9}, 3.88372200428364*^9, {3.883722130758728*^9, 3.883722161815539*^9}, 3.883810284796789*^9, 3.8838125900189657`*^9, { 3.883812751688027*^9, 3.883812775823365*^9}, 3.8838129122125807`*^9, { 3.883814393937422*^9, 3.883814417980858*^9}, 3.8838144827763453`*^9, 3.883815422969491*^9, 3.8838154838757772`*^9, 3.8847695351040497`*^9, 3.884770981625286*^9, 3.884771036181451*^9, 3.88477553993146*^9, 3.884779943163752*^9, {3.884780499717718*^9, 3.8847805075371227`*^9}, 3.884782509121031*^9, 3.8847833091445704`*^9, 3.884844593421431*^9, { 3.884844840639995*^9, 3.884844845450876*^9}}, CellLabel->"Out[68]=",ExpressionUUID->"ef047b77-c9e1-48b0-9176-4d18d3e7b454"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{233.01500939856194`, -0.000011310656830454757`}, { 236.81993101404765`, 2.775412741180304*^-6}, { 244.18690655422648`, 0.000014172990016110852`}}], LineBox[CompressedData[" 1:eJwBwQI+/SFib1JlAgAAACsAAAACAAAATfHDO3odckA4533WXLjnvkuNuzrh GXNAzzaRQ1Fb5z4Hw9ONIiB0QCgK7bqHh9M+F6t+wk48dUAsGbVCewPgvtB3 hmpOU3ZAhul9QrNXmj5dQtDOlVd3QNIz0iCDn9I+Pr+sFMhxeECACQbCBr+5 vvI5yxZCeXlA+YNkU30gwr5QmUaMj3t6QISYYUTA6rY+AqtU48eTe0BcHa+S JwKtPoe6pPZHmXxA+z2wQxddsr5gfIfrsrR9QKqWFImEOYW+4yLHU/HKfkAx dt+ySMKnPjnHSHh3zn9AuzqNfVjufL7xji4/9HOAQEzACrKYipm+MLlZoFD3 gECTNlzdIU6JPsRVM7sWeIFAKc9Fp1hrij6CS9ZG0gOCQCrOgX9CJoa+KkCa sDGGgkCgN8OdaT9zvvyNJ4uGE4NAMSh7Sn7Nfz632tVDf5eDQNTNE/fk0jM+ x5kytuEYhEDXbChqY/RzvgGyWJk5pYRA93keq8v8Uz4lyZ9aNSiFQE7ZOGPF qmU+czmwjCa2hUA5UJ9uX31ZvhYcb3iBQYZAaVrSk9Z5T76i/U5CgMOGQFm+ IMsXnlQ+WDj4fHRQh0DfibOazUwpPvhxwpUM1IdA/sfdiAbYS77tHTtoDlWI QJzAXAAVFAw+DCN9qwXhiEB6/9ju2ylAPhUn4MygY4lAgevYDrVpKL5IhAxf MfGJQMWWwojVwy6+z1Pnqit8ikAOkexfzzsrPkAi49TJ/YpAmWKE1C0MFz7b SahvXYqLQNOrGYr8qSO+YHCO6JQNjEDSESdhJ5vcvQ/wPdLBm4xAB/FJOJX6 Fz4T4pt1WCeNQAaeOcVAnAG+AdMa95KpjUDU7XhX5uwIvhkdY+nCNo5AafJX Y1E3Aj4bZsy5lrqOQFgYeoLGW/M97GUf9/8/j0B9yrqBZGX7vRwoTDk= "]], LineBox[{{30.659237352726315`, 0.000014172990016110852`}, { 30.708317805058126`, -0.000011310656830454757`}}], LineBox[{{59.39089240200147, -0.000011310656830454757`}, { 59.56899791870505, 0.000014172990016110852`}}], LineBox[{{87.6028822062097, 0.000014172990016110852`}, { 88.19627386626881, -0.000011310656830454757`}}], LineBox[{{115.78707025604874`, -0.000011310656830454757`}, { 116.42602977811055`, 0.000014172990016110852`}}], LineBox[{{146.3626269480561, 0.000014172990016110852`}, { 147.49676633164464`, -0.000011310656830454757`}}], LineBox[{{176.8730055291821, -0.000011310656830454757`}, { 179.25689733956483`, 0.000014172990016110852`}}], LineBox[{{205.35281979318822`, 0.000014172990016110852`}, { 210.73117775696645`, -0.000011310656830454757`}}], LineBox[{{260.9170409362822, 0.000014172990016110852`}, { 271.1547472989479, -0.000011310656830454757`}}]}, Annotation[#, "Charting`Private`Tag$852640#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.000011310656830454757`, 0.000014172990016110852`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{233.01500939856194`, -0.000011310656830454757`}, { 236.81993101404765`, 2.775412741180304*^-6}, { 244.18690655422648`, 0.000014172990016110852`}}], LineBox[CompressedData[" 1:eJwBwQI+/SFib1JlAgAAACsAAAACAAAATfHDO3odckA4533WXLjnvkuNuzrh GXNAzzaRQ1Fb5z4Hw9ONIiB0QCgK7bqHh9M+F6t+wk48dUAsGbVCewPgvtB3 hmpOU3ZAhul9QrNXmj5dQtDOlVd3QNIz0iCDn9I+Pr+sFMhxeECACQbCBr+5 vvI5yxZCeXlA+YNkU30gwr5QmUaMj3t6QISYYUTA6rY+AqtU48eTe0BcHa+S JwKtPoe6pPZHmXxA+z2wQxddsr5gfIfrsrR9QKqWFImEOYW+4yLHU/HKfkAx dt+ySMKnPjnHSHh3zn9AuzqNfVjufL7xji4/9HOAQEzACrKYipm+MLlZoFD3 gECTNlzdIU6JPsRVM7sWeIFAKc9Fp1hrij6CS9ZG0gOCQCrOgX9CJoa+KkCa sDGGgkCgN8OdaT9zvvyNJ4uGE4NAMSh7Sn7Nfz632tVDf5eDQNTNE/fk0jM+ x5kytuEYhEDXbChqY/RzvgGyWJk5pYRA93keq8v8Uz4lyZ9aNSiFQE7ZOGPF qmU+czmwjCa2hUA5UJ9uX31ZvhYcb3iBQYZAaVrSk9Z5T76i/U5CgMOGQFm+ IMsXnlQ+WDj4fHRQh0DfibOazUwpPvhxwpUM1IdA/sfdiAbYS77tHTtoDlWI QJzAXAAVFAw+DCN9qwXhiEB6/9ju2ylAPhUn4MygY4lAgevYDrVpKL5IhAxf MfGJQMWWwojVwy6+z1Pnqit8ikAOkexfzzsrPkAi49TJ/YpAmWKE1C0MFz7b SahvXYqLQNOrGYr8qSO+YHCO6JQNjEDSESdhJ5vcvQ/wPdLBm4xAB/FJOJX6 Fz4T4pt1WCeNQAaeOcVAnAG+AdMa95KpjUDU7XhX5uwIvhkdY+nCNo5AafJX Y1E3Aj4bZsy5lrqOQFgYeoLGW/M97GUf9/8/j0B9yrqBZGX7vRwoTDk= "]], LineBox[{{30.659237352726315`, 0.000014172990016110852`}, { 30.708317805058126`, -0.000011310656830454757`}}], LineBox[{{59.39089240200147, -0.000011310656830454757`}, { 59.56899791870505, 0.000014172990016110852`}}], LineBox[{{87.6028822062097, 0.000014172990016110852`}, { 88.19627386626881, -0.000011310656830454757`}}], LineBox[{{115.78707025604874`, -0.000011310656830454757`}, { 116.42602977811055`, 0.000014172990016110852`}}], LineBox[{{146.3626269480561, 0.000014172990016110852`}, { 147.49676633164464`, -0.000011310656830454757`}}], LineBox[{{176.8730055291821, -0.000011310656830454757`}, { 179.25689733956483`, 0.000014172990016110852`}}], LineBox[{{205.35281979318822`, 0.000014172990016110852`}, { 210.73117775696645`, -0.000011310656830454757`}}], LineBox[{{260.9170409362822, 0.000014172990016110852`}, { 271.1547472989479, -0.000011310656830454757`}}]}, Annotation[#, "Charting`Private`Tag$852640#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.000011310656830454757`, 0.000014172990016110852`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNV2c41g8UJdlbZslOtuxU7/0ZGSFbhCSjIZKRSFZl76xURHapjGS+92dE NNBQ/lGIiEiSyuzfp/M8555v557n3iPu5mvtSUtDQ/OFjobG20fzxAHWFCJG h2NQ+r9kYu8F3c3cMcnEC/k3O1t4kol8r8IO8cgkoslX821YXyKhIOHjaLop kdjSxSeoszWB2KJkMmAkFE8MKfEuh9PGEUTWYLXCQAxhNutX25IdTbx7xH67 wfgKcfHPA6Jt7hIhzdDkHxsXReQt/9jbuS2SaJCq8/CxDSOGjdk1pH0uEIYv J53ZYs8T1SrCNjZlgcSyYsuhjVd+xGeRgwx3tp8h6II7CqvxJGHdab7nfLo7 8f7vB60je48Qm3jy066/sSESIwL1V5YMiGEZ24iinh2E1R/dJZ5baqTu0HTj sTYj8sQDC6EtCtYkJcLhP8Uue/KQsULKWqUzGaD+OJL3rCvJGM6qFb7Ljfyp etxROtednP7SQq9W6UGmK//oCPb2JD9dMw/2/uBJ9qlrivHSHSdnK7+X/Brz JE3z2tdYIjzJJaZdWDriQepXukZ4M3uQL9hXtuzZ5E6qZWUu8PcfI59y7puQ CHEl109HX2JhdCGL3+leaZxxJOmuhDi6VtiTLXllw6S5LXnY6NN5lUlL8u96 QeL2JRNSvVRTRUthP7n2ic73KfNe8s3d4wwl+gqkC9/ZlAqONYSfF9jv/pYk pFK7dj1eUSeKusR/tewgiNm5muv8GvuJbhMnItHZmDDLfXrrMp0ZUek1KEYv bUHc2Xf9+PioJcEZLHOG66sVcWzzd+u1amsiZ7tRzRtNG2KK00DgXKgNocp8 qcvhkg1R4nI1JdHchrAJTnqVO25NuEZ60kUaWBP9wRPNucFWhFTt0eq0KEvi UtKCdc5TcyJD3sCg2cqMUI2dfzhz+wBB4x9Se73bkJiKDD6k/UKfCM4OaeRq 1iHaN+lW2O/eS0h2vKu48FOdCA28elXigiKh8i5JQMNInDAYYCg/0EFPxLlV q324y0gGDSbNfa4SI2vij/fc65Yj216pTydxqJLqNPlDXOaaJMtUA1/otj3k UM/0IK0fhazPYuLbu0OHLIgjVfKtdcnURA83MR09ktd1cOfPOT2yOpsq+ddZ nzRmvXqoL0WftPB1ZE2N1ieVXV0Lf+vrk3OcVp76L/TIggMmd0V26JGLM2JO 1yx0yZe/TojyWOmQOgTrC1dnIGWJX12Z7/aS2VpfAx5u1yYfrVauv9+tSaYb mp5QUFMjp3e3tjbw7yLZhN0ftL2XJQftxykhUZLktoPGa+wnt5IfYx3f13Gy kbDQ+rhNaBTFKHuUn3HQEXQpZktKF3kJmxV7Hrl2EULCffB9pbgUIR5pw+MT JEOMvDAXvWCvQEzEKEVloDIh9HL2R7yNCmH22uf0rxhVYsXijGBfsBqhEi0+ wCurTiyf63KMuqZOzO40jA/rVieC1tPU+JvVifTLWvnz/urEC1+zUa1FNYJa VGx/jVAjZm1o3aSdVYlHf/KTbA6qEP3jHKc/COwiXkq4JlyIUiT6n8lnKV+X I1L9A+YPX9lJ5F//ey/NRIrQcX4X7/5bjPD0zfYNldtGlD0ZuJ3pzEv8VueX 91JhJeQH0ox9u1ZhqHTO1wYQOK6k3h3e9BuDtMQO3nZgJKM7XzRK7uMmo2Jp 6Zg9+EnlRuGwYKFtpMrZNolMG1FSpZVD+1q0OOkpGFZ/erskafY0+Li7rxTZ 7VvQHHhhB7krW8jpOEiTXz4/yetuliaDJsbUZhelyYMnzLnefZEm8/Tlnmvl SZNb/BQf2vNKk+c9j9WyWu8gcXejRbGjFCnEcntuWFWSXL2ckfp0RJxMp2U1 fHpcjPwe7MMwcn07aeA3zvhZdSvZJaawSinkJ2vrjUJjFnjI2L3GWREuHGTB t/Bbx54xkCXMueclIzawoKLfWEpnHj/QLHMr89WgcsbzNeqDafjW3ZomJrsC yfOmtVmH6YgKv6l7jIrMhBV1wLbqEgdB032uhL+cm/BRHLof1rWFCGQNMIRc PoLu6CWzte0CRB7/4x1mNoIE+3P/oXu7hYjer+7D0b1ChPb1E/Fb+LcSN28W NHtybyWGolzOH+wQIt5+V6S1UP6n4zmYnH5YkJARvdjxwlCAKLpGsd67xkeE 87C8CIvgJQ4c7ORKf8tDSBTNnqxj5CaCVXiO1KtyEGXBk8qSUixEctDc0PB3 eiL/xsADmlJawlINa6cLVuD40e+vUpYXIKMx74f28CeYieGucDpcDS0rt5qy podQr1C/KtppDo/PaB+W+7GE735QH4nVr+HNamkrnvO0JHeB3w03g82kGX/r b4c2BrK3wW/Lp0km8i2hK0Zby0Ke2pxv1yvJRvooU8P9d7OTkWr7WkQX2Mma uSuljBYcJKx30lnYcpA9/poH/tJxkJayFyV/HWMnXf3dDV77s5FhW4twYi8r uVVJVoSng5nMvO5Z3MXBRLZv2vf0/Q4GMkCyxTWMczN551dEkvBrWjJVcn9z 3vcNLAw/Fh3CvoLhbKQkH9sSHurZG8n+ex4P+Ud6bBn4jKbV3/Xd8t5h+7XH f2DhAZp7D1WG0fTCSzIzkyFnFDhUragPlafBV1jPQPnGd3gMXAdIs5/wq1pY crn4NxxkuF4Qm7cCof8ZhzmorIPRfsfIW85/oVN6dtkrhYb4OfjN1Gk3LbHu Qd2+rZKWUBQKz943Q0vMfJb58GmRlhhq0aNpekpL6J0kyubO0hI/ot5Xi0zT EGuKAV/tNWmIOoaARbqGDchSSz9yr3kNTBopvWURK1CyJUvLme0PRGQrFEZ7 LYFazHYW/qIfQHctVUsrfB6K3g1Nm6VOg8ZIeKFL4jh407BKrjMOgTSNnNMT mV6YjHc95TRxBxSXq/pdaFuR+4qwSNDkK2TjS7ijuecDCgizac75jaPGocP8 K5NTWDBmk/vjx1d8YclatJY8j+vm570+Oizg/TaB7nuVP5D2jMiz9tZFrDf0 0lDP/IlbM0atB6SXkFeWWXNXyBI+e/ZIJjxpCXcqLgbmuy2hf0nPPdaNnzh+ 0PN237GfyGajLxOUvoiNwb9nNtJ+4GCDkl+vxwKWieyLzef+jiljEhHDu+eQ YiLjP847g/Iu1x/StU8idyibi6DpOBoGSVqyBY1ge07NKW3tQVxLn5H68bMf RRlGmcpCO5DlOZubMaUEv1V33eL4WgWM0/F99x50gpTMm90moi/BNVGw2HzT OxgNTXtaETAMkw9GXk7WjoK2srPnuZlPEDi47274fxPQsCNEciZsEjb/zuiL H5iCWJvzFYIjX0AxaiRP8/o0CEUpyLkxzsDVxV/t8ztngI73keLf9WkQlBJY O5M0DTUGtk69b78AV8mw98GxKbgo8PtoZdUkbJ+rjpY1+Qw3B31zz9SOgwdv XXDYjzEo4Ii5cpN9FBjXfZ9F8w+DrLjAIPPEOyifLg2lTX8N2ZLaikp2vXCH WfJdWGgnTNZ+rLd2bgTd7ASJ//gKgGlKYoojvxDNt5w+JcnQiPzdNGn82o/R 42MNRfP8M5ywy7UK43+J2+R6aJZ3vEHBRNrj4+NvMRozvGRM/8NuHb75Pvsh rHXr7/vL8AHPNkk1rxz6iIza7L+3GY0g+49re/rfjWBeTOK4Af0ochf//kEd G8Gi8ckj7a4j+Mbfg6U/8SMq/WXMmzzxAYWDWjc3rQyhtVjxy5sm73E1zznq lMsg3r31gek05S3e6Z79tH/+NZ4N3DLzPvQlata/jPZ/+wLXJ5NVlxO6UXXs 58i5HR3oOLdl9eHpZvS8PeV8MqcKjY3tRQWrclDtLn2901Q6nJJt0r+wUQls lWKtEqwNEPowmdX8civsUMgxiL7/GCbY21+Lh3eDI/c0k8PMM8j31lGunu2F K+hwhrm1H9K77MSO9b8EcSW+NpXSV5C1v7psRec1PDnN6DlR8BrMfnNuau56 Dfe1dYona19Dm6Rdo5vXawiSXeitnX0FfNMMlGHKKwj+KvDc4thLaKK8j5p0 7AfOrNaIvCO9EMv/rHW9/RnEPh5YMZvvBi2Dum3EbCeEczAykh3toGgUd/D2 X4SXqdnEnG0DxKUnf5W4UQ2RIbNpO5+VgHC50ZmKbenQxpRFiARHIen0xbf9 bQE2V1kk/22pxAQnM+nV5VqUKa8eeburEUs7GX1zflOx/m+uirxEGy7qXmw6 ydiBo2MvjfaUP0bDL5neypu6UDAs6VT1lieYnxfxgWb4CTZLnFVScerGa4LU p+JXu/HMScHj5y51o/BCi2OsUjdGbyGcjuY+waOSxcVFXV2oeEtsPL6pE5cY 59e7Qh5jebUYTThzB7bbCNop+bbh2YhtovrHSHT3UR2vLmvGhhKGt0vU+n++ 3bkSVVWLRPHf41cFHmDx7pUNoqEUjfdEtxx+dBNbHpbLvHWJQ5rcetHMFl+4 e9A7wDozA1qaqTyVRCGQ5W7FO03KgdVhVE/hv/vguBCaxONbA13bvOS0peug U300FpPqISJH+5xbfiPYX6p/uGjfDK55dDmW9S1Qo3X7pkczFUw/cGlLeiC0 sxSORNT8e9NpHlxyL0eIy7V7dMsYwT1VvmokmwrKr3KdcnJaoI7Fvv27RTNw KT1lbuhshDAvQ2PDv/VAG6ATdJruEci70bXa/1cLn75yXbwSVw0SKZd59qjc ByPez3f7JCqANlMl/+hSESxuh+eNZ/PgwW5t2qGlq6DNL1DIrBwF9YY07dQx B7S838tc0RqDbJ7P1BS6MjFsQWLkRnkefnR68uro8m30qB42pukpRd+/aLdt 7x1MdC/LHTO+h7t/94W9nH2AbF55e1y4q1Eiq3rXxGI1FrJfvK6ZV4OyhtoX tdhrcYz5rpLX/lr0585mmdOvRYE9hzP9/vGyPiIH1IpqUM9pUWWOsQb5q065 90I1FtSpXfUxrcJdq5wvzrvfR+7l937fvt7Ftoy3XVraFfj++2xRpW0pTjS2 /fliVIRRfQyT94ULUKyuMiezMRcP20+ozEhm4EOWlPgf/PGoteqsrMcajLco vosanNowmbJjD4f7BciGow39fPEQ6bdNb7PCVWjTH1R4fCYHAgOsf+sb3QQX cV7zq3YFwFMlh73Gt6F66pzD4+UiUCh5p1HnWQLDwSwtjQmloLojP4w8UQY/ lCZ7o9fKYMOdW/7agXJ4OD0db2hZDtYyUc9u8JRDbJOBu3XGP11jke+TgVIY Qqczsx9KYPqIbKtWVTGI14vsyrQqgkPJxg8tnhQC7YmWPGaBAlARMxvWSb4J kl4pXETDNfDStRw53JwJE4KrGd9up4Eup4pJ+q84GOBOePi3IBLSj4sJuTae hVdxXJVW3GKw4GKh8/XCGXxRqnpO0yEchTd/2CNtF4PqhgeUepmSceHXoNGX G+l42ozu3CmvTHQwK36+byYbvbX7pVr4c1H2hco289nrWGcpKnLy5E1MYdnl lxyfh5YsUkamFvk4OW/Oo9qUj8WuEWrPn+VjV+oVjasx+Wgd/qV7eC4P5erU G97Q52HRPS7uY69vYNyd1rYtztex/P7SLG/pNZz5FqnF3pCNTRZ2tpy5mahk bLslyvIqOvn6+DA9T8VO5dXb2J6Ar2RiPr7IjMalZ0IxvVaRqOfw4sgeniB8 Ut78sFP6BJa4+GweAXXsm2XhcIw6BtTdAxK5rv5wd29ly8jlUDDXfFVgznIJ 6NVfWef8jYaHNx5ek8+Nh3mnRcqDviTQ0PbYuyUvFQzFFd3NN9Jgs3esduBS OjQvVZE/a67CddqkGn/NDMjduu2bRmQGCN7zJnekZ4Dj9ZmiNq8MSIjTyRbk zIAX6lQ6MvIq2MyUtne0p8Om5fiaosE0CGlsag9JSoUH6eMnokSTgcnqfptp QALEv/qZrpYeC6OOv3PGL12B3RNhMtrWUdAj4aRkznMRsjbGI1Tdz0FIPs+c u50PuHq2bc2ePwpnNF0dKjI0IZ7fc/O3bzboJC9uPLz/ONKIW229sHoWz4Wo kT3BQfjJlTetJjkUPwqUL8QIRKKzx07bUtlLKHvHn1N/+TIGRoe06VyOxvdT JU5HOmMwndV2swrGos2oVI68Txwy5W/7kPoqDtMqBG54z8fh7l/Hrmd0xqHq 4M3XKfZxeIjP+0tGeSwmt2VtC2qJwVRfuZXsnGi88t17ZuDf1WslG9+G11/C 1pB0+d2MUejm7dw6eiIcvS57RGXHXsBjP7e6ilwIwrEEP4UdZv54anNAXSmv N6o0vD5vc8kdH0jvawhftMP9h7OuqGSqY8ZIMZvCv8ojsUlY5/26I9xL4Z/g ovGEi1oBZqwc3iCeXsEMZn7AyL6x+bxxIKx4+KUHLwUBEaHKLGAeAlPOj0ht 81D45tV04uOPi7D/yzk7oT3hoBneW8sjGQE60frPaO5HQFBObKTocAQM6Xpr lTyIAMY4qlmdfAQIMU+7WNqGA2Q9L9RTCoOEv/VhXGQoUAwzW8bYLkCti1rC aZFgCPHkSflv5RzYvzfxfFQRAJN92zteq/pBjc/wisc+H6gmjqUPTJ2AC2lV 3bLBbjD8p/htz8phuObBcLhL2Bxe55VNdexQgbOa9/JUhnejX8Hgj0p7S7wq 61U/tnEYk/ru7c9JOIa3a8a23m/3xP3m3IFW+af+5WZZ9zifDwYYldRmcJ3F /6RP2Qu4+CE46A3s8/PHV8KVBnXGAbj/+UDMp/EA9NBi7H+tF4hJ5FCIzvFA PHPeRCDKIhD1ztj/jaEJxLcKj7xehQagsEKu6YnH/ljR5cjU9sEP1bmu6Xc+ O4u5kpeaT+/wRfbTdE37z3hjp2rKy+rQU5hxYDPbffvjmAfWUYFs7niLLa6+ w/gouq+PtlfaOKBPjXaJirkVurAYFU5f24/X85JSOjjl8UXCyNMbP+VAJNcs b6NLH+44Xew1ELaETq1fpdXLduA0FAIbPk5g8kyqLUTTFSo1Jo03zrmBxuar 2cJ+HiCbePvbfqnj0HzHw+dZ0gl4w3Rr/Ev5SaDfc0Cx8fwpENZ7JKS1fAr6 l2o2aSp5gXxEncZhQS9oHLGwZ246BaCZPneC/988cVRXV+UkyA0I9K5xnADR Vyqnkx56Am3VsxDHnR4Q6DxP0fJxg/e3VcoNklzhjK1GUh/fEdBOl5U+NOIA lXfLO05dsoWHE9EyLmyW8I7y3W6A1wiEYou1BKX3wbWWkNdiNVLwMS1R9K66 MOpXj3kMf9TC2gb1kZt/9PExDMkeTzHFrKL6z34WVujgshrKm2yLv9z5ZXaF 2CNvwu7kBXZHdN/CMFRs6IzrioalTaIuKH2Nxbsn+ygq8o9NG9i5osTlzEmf e66Yxhxsb/fGFfdUyeiuPnXFe47K9h+vuuLlsf+2Lym6YoWV7bcDlKP4PqLu /Nm+I/iQ/iRDmaAzPjrvHvpG1BFPcJSkeM7ao130I0X1GDvk8S91ObNkjWIk LFzUs8S170bJb76aIL362ZmruwyQPeyEUnA3IJvucDePshomFU4a9w6I4OnC QY9IWTZYy3YQ9O9SgGvzht8+d+8GPvV5qwPmuvCIEDgUPG4A+woFkm8ImcDN l92cJVMH4fzC+Yhfty0hpoHOUkTAGla8J1NnDtr8y9MnukYDW9CVekIWrdvC D4/PEH7ODvTMvRL779mB4kBIWn+ZHRR6Ktcf9rQD0/zUH5++2EKQXeuxAA1b KHvZUJNlbgPa4u/9THZbQ2XwrcDlX5YgQB+2vVPEAmI+uF7exm4GLY4uikEd xhCHMSXFZgbwTJ/nREmtLuRGhMayMu4DYUlhgegUdfCU3rOzTFoOQlzecMxX 8AN987xD3cVlalE5hZKtI45PfA1yfjcq4eIXLlElqgbqG15Sr6reiwVTn+OC snXw3WPDE5e59ZGtpDJnab8BvrvDZF2tYISXXY++Seo0xk6NP6bW7CZY723K QG4yxaALC38jSkzxQXnCN/lfprjb+uGXPf+w+/Psm9UyU/zYp/oilsMUjd7f rqhVNMGEbs4vf5kPoENkumxsuRF2jTlHfeUwRDepwZd6+vsx6XPNuU1metj/ iDtgRlkHGf4Uzo5+3Yu7tf0L7Uy0UCS95vT5eFXcOKiNi2fkcdLt83LVY3HE bzPtj124sC78pdX46XEKr6TCp3MVvPBckideZIskiCQYfZJzloeo3uS7m1NU wP3PiMQFMQ0wvzAzUHlkNxiXiZutwl7Y3lZctYQU6EdfM4//COBz2Kpe0qkD bl5Cb/xP6YJkQ8/Gm3e6sOvAK5nt3HoQcbGcVZlfD/ZTj66GfNEFo0Fy8nu8 Lige7BCnXdeBSXq+7XH7deBMt7FL2hOAtFd/ZBtb9oH5Ne3iw2f3wKZ+fyVy RgvMreceXFfXgPWuQ2c+H1KFV1yTPYl1SuCjZdAyfVUGehZkjAwdJKB18htT pLIgbD97Uo0xiRGi5TPdH55roh6/b7BPKYIJOc6Fa96/KYDmrZFdLqriyPe6 Qe8rSCPPcdebDl/k0Ep/TdRHShnLap681DingmudiulpQmrYrpb9OuiiOspe kTOauKGBvIJ1WwuCNHH/psS8PWxa6EO3F5mOaCFfoMKV7V7/UEW6RFdDCzn5 6JynWzVxSau9QoZLE0kLI8VS6X975TfdmsSkjhdoFzkuNqliousji2BdFZQM Lu2pMVBG+9UZloBueWStSXJ5wi+DQk+Pbr+yTwqPJXGL5RqIoWlug9RIqCCO pGwqSnfjQuGBL5UXKmlQI8BppUSvmfr3EI7FcK5Trn+8uahmxQ776JVrs+/z gZooZd/ofmH4eL/TW0hJHDwZHGNTFiXhfSL7BquPNCxRqO+eZ8lAU8X3B1xe crCnOrlPZEoePu2/d9CQVREoGjcODg0oAjC8C1IxUoKihpaeDFclyHbeSbNH SgneDAbd3JulCGYBh+Yi6xVga9Y21ZpUeYi2qRDfISkH93P28fScl4Hy8y10 PJnSMJ4l1/cpXAo4a4+TQYQEVG39UJDVJAqNF2iesbduBaexJMPefD5wu9UT aHqcC9weprpkmTJA/qpzxnjVbwpDVvb+0zQ9FJ+SD9bqE9+pehvcdV+3bEKY bKdVo7Cim20Zx9BXbqRpYR6qm+LDgR09xVbxQsiuVtXD0yOMIYtwq7RAFJ/O 5U5G04uj6rrhMdNNEnhRKUQ6pFMCfQ51aKaYS+IWP5anD/Ik8XlD8a7iWknU VFLe9jxdEikNMse27pHEDwYDXiwPJJBz6pZb1qI4QuKqrTSrOJKHb/ZtXRTF lBrrsono7ZjczpGZ9G4rdlcZf/FaEMDLh1pP7/rAi7E3PMjuYm5Uner/HFLM ho7bb2srjtBj2vskZs5tG9Rjo2+Ozkd/p8qYvojpkOqhvud29lvsGadc6rv8 63HgL4pYB8u3OA1aUA47MXVkgAHI3L71ejY2eBOmVPLnBBcIqEnEhCfwgIb0 120tp3jB0Dc9wHETP8gMpTiMWgkAy2PH9ZpDgtDCIqvCyyUEHTrR2iLhQsAw esubWigExUNK98suCsFdHc1fVtxCUMDLyD7hJgiedO135c4JgMPmWrU4M36Q nrupMjHHC5vXcsZzXbbAY8xa9izmhhvT+lfLEjjBEuYO26aywrUNj7Qqd0ZQ MfV88piXDka0d3jtO7pO4Zp3FbW99JOy62euwgGHKcq8hD5tW8UTylpF/huq /Fvq3YWoi9IXv1L98n2NvFOXqFGVV0WHvq5R5T+l1jCN0WIi90yiIy09miz+ K+P9jHiweTRVypgFmwumlrI92PCwc9VLHQkOlFp2M/gWzomU6jWHzn1cWNhB /5o9ngvvXqU9M1zMheqpjxp10rmQV93P9IkFF1qEuD8Zf8yJGbTPmY7kcOBi wYrKDWF2TOkuLPrmyIrTX9nu6xxmxhvCxXOrIozo1Hfqy2LtZpTXOqdhJrYJ o8FgHgc3qL8GJybMdJepw3xma5C4SKWtlg18n/KVuhw+0drINkrlM6F3K25t pzLNTV86WdBDcdQipr6JjFE8lwXD+A9/pWy4Ryc0hv+geOCRw7dWflEYqGns 2/lXKYns2XmnujcoTS3VHVz0tPCcm76h3GsTiP5h3I1X6eAvTwl7X+hm4JZd V+LdQQ/tKTfKw1Po4S6L/42aBnp49CrzFE0JPZidfKDqbEcPbzNMOmyeb4aD 7DtF6dg3w63WR32M2+igUpJJKmCFFrL7z6c2P6CBT/M37jlGbFC6qsaD6lxW KRXvT1YIMP2hcGrsSnaO+UnRbmZjTpj4TlnouKJxzGmGsj6/qnjtv0+UUzE1 XNk1bymJt2fveYaSFHbLMxdkIpqo+e5UdZmiN9Q3csLtJN0YVS3o/L5Juynq hqH+DJP2HFXMkK3ps8UC9WmRyiNDcpEqvalQhfy8RL1RkSF/iPxN3Sqdostw YJm6iWfDnIxcoQ7edbby9Fyl/g+0BxfY "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.883720849774865*^9, 3.8837209042718687`*^9, {3.883721147029759*^9, 3.883721206057273*^9}, 3.88372200428364*^9, {3.883722130758728*^9, 3.883722161815539*^9}, 3.883810284796789*^9, 3.8838125900189657`*^9, { 3.883812751688027*^9, 3.883812775823365*^9}, 3.8838129122125807`*^9, { 3.883814393937422*^9, 3.883814417980858*^9}, 3.8838144827763453`*^9, 3.883815422969491*^9, 3.8838154838757772`*^9, 3.8847695351040497`*^9, 3.884770981625286*^9, 3.884771036181451*^9, 3.88477553993146*^9, 3.884779943163752*^9, {3.884780499717718*^9, 3.8847805075371227`*^9}, 3.884782509121031*^9, 3.8847833091445704`*^9, 3.884844593421431*^9, { 3.884844840639995*^9, 3.8848448454921103`*^9}}, CellLabel->"Out[69]=",ExpressionUUID->"1df5165b-5b12-4644-914b-d98b7bd14019"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{267.40222338094014`, 2.1492949438627394`*^-6}, { 271.86546195228306`, -3.073587980042735*^-7}, { 279.5348937198072, -2.150241040285264*^-6}}], LineBox[CompressedData[" 1:eJwBwQI+/SFib1JlAgAAACsAAAACAAAAnlZQjbFqckChSF6DmwnCvkuNuzrh GXNA6tuRErvQtD4Hw9ONIiB0QC422/F+Mbw+F6t+wk48dUAvMbVa0HCwvtB3 hmpOU3ZAAul2AvxPmb5dQtDOlVd3QPrfa9pxVqQ+Pr+sFMhxeECQDghXx19n PvI5yxZCeXlAQD1IXGB5kr5QmUaMj3t6QAY1wjGTsW0+AqtU48eTe0BrPbKr OKCCPoe6pPZHmXxAtTnRNeGMZr5gfIfrsrR9QJurXJmAtGC+4yLHU/HKfkDh fHcep+BrPjnHSHh3zn9A7u8g+zBGVj7xji4/9HOAQK+1E2R5nUq+MLlZoFD3 gECF3uo5bu9FPsRVM7sWeIFAlfNiQDu9VD6CS9ZG0gOCQHissXxmrTQ+KkCa sDGGgkDSoEtq8ZsqPvyNJ4uGE4NAFiK+kQ9KRT632tVDf5eDQH/Lq7s9pUE+ x5kytuEYhEC87Vdxjrg0PgGyWJk5pYRA1YlW5pRJOT4lyZ9aNSiFQEiM17nQ +Dw+czmwjCa2hUDz/zLOqEg3PhYcb3iBQYZAvHQTcHcVNT6i/U5CgMOGQIBX 4ueReDY+WDj4fHRQh0Dr9P0PZlI1PvhxwpUM1IdAHG40Wg9QMz7tHTtoDlWI QDsnW4Ea2jI+DCN9qwXhiED7clYyF4syPhUn4MygY4lAIWVdWHSGMT5IhAxf MfGJQGNltedVoDA+z1Pnqit8ikAYJ0VyKicwPkAi49TJ/YpAwpPdSusmLz7b SahvXYqLQIN7ZC6MuS0+YHCO6JQNjEBhFLySKrEsPg/wPdLBm4xAobW7616w Kz4T4pt1WCeNQL6bqwldnyo+AdMa95KpjUBxubNh37EpPhkdY+nCNo5AfdkA pKPNKD4bZsy5lrqOQB8fGWpN/Sc+7GUf9/8/j0C9bZ6VCS8nPnvQPz8= "]], LineBox[{{32.032556150499886`, 2.1492949438627394`*^-6}, { 32.039363850319035`, -2.150241040285264*^-6}}], LineBox[{{62.346777975974554`, -2.150241040285264*^-6}, { 62.37315098470403, 2.1492949438627394`*^-6}}], LineBox[{{93.24405174358257, 2.1492949438627394`*^-6}, { 93.32887434798602, -2.150241040285264*^-6}}], LineBox[{{122.80201244686147`, -2.150241040285264*^-6}, { 123.13844559996579`, 2.1492949438627394`*^-6}}], LineBox[{{150.84304965881668`, 2.1492949438627394`*^-6}, { 151.19791204966984`, -2.150241040285264*^-6}}], LineBox[{{181.61562533569466`, -2.150241040285264*^-6}, { 182.38199198625117`, 2.1492949438627394`*^-6}}], LineBox[{{212.29689030032586`, 2.1492949438627394`*^-6}, { 214.10334571584798`, -2.150241040285264*^-6}}], LineBox[{{241.54664432299342`, -2.150241040285264*^-6}, { 246.43421788653194`, 2.1492949438627394`*^-6}}]}, Annotation[#, "Charting`Private`Tag$852701#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-2.150241040285264*^-6, 2.1492949438627394`*^-6}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{267.40222338094014`, 2.1492949438627394`*^-6}, { 271.86546195228306`, -3.073587980042735*^-7}, { 279.5348937198072, -2.150241040285264*^-6}}], LineBox[CompressedData[" 1:eJwBwQI+/SFib1JlAgAAACsAAAACAAAAnlZQjbFqckChSF6DmwnCvkuNuzrh GXNA6tuRErvQtD4Hw9ONIiB0QC422/F+Mbw+F6t+wk48dUAvMbVa0HCwvtB3 hmpOU3ZAAul2AvxPmb5dQtDOlVd3QPrfa9pxVqQ+Pr+sFMhxeECQDghXx19n PvI5yxZCeXlAQD1IXGB5kr5QmUaMj3t6QAY1wjGTsW0+AqtU48eTe0BrPbKr OKCCPoe6pPZHmXxAtTnRNeGMZr5gfIfrsrR9QJurXJmAtGC+4yLHU/HKfkDh fHcep+BrPjnHSHh3zn9A7u8g+zBGVj7xji4/9HOAQK+1E2R5nUq+MLlZoFD3 gECF3uo5bu9FPsRVM7sWeIFAlfNiQDu9VD6CS9ZG0gOCQHissXxmrTQ+KkCa sDGGgkDSoEtq8ZsqPvyNJ4uGE4NAFiK+kQ9KRT632tVDf5eDQH/Lq7s9pUE+ x5kytuEYhEC87Vdxjrg0PgGyWJk5pYRA1YlW5pRJOT4lyZ9aNSiFQEiM17nQ +Dw+czmwjCa2hUDz/zLOqEg3PhYcb3iBQYZAvHQTcHcVNT6i/U5CgMOGQIBX 4ueReDY+WDj4fHRQh0Dr9P0PZlI1PvhxwpUM1IdAHG40Wg9QMz7tHTtoDlWI QDsnW4Ea2jI+DCN9qwXhiED7clYyF4syPhUn4MygY4lAIWVdWHSGMT5IhAxf MfGJQGNltedVoDA+z1Pnqit8ikAYJ0VyKicwPkAi49TJ/YpAwpPdSusmLz7b SahvXYqLQIN7ZC6MuS0+YHCO6JQNjEBhFLySKrEsPg/wPdLBm4xAobW7616w Kz4T4pt1WCeNQL6bqwldnyo+AdMa95KpjUBxubNh37EpPhkdY+nCNo5AfdkA pKPNKD4bZsy5lrqOQB8fGWpN/Sc+7GUf9/8/j0C9bZ6VCS8nPnvQPz8= "]], LineBox[{{32.032556150499886`, 2.1492949438627394`*^-6}, { 32.039363850319035`, -2.150241040285264*^-6}}], LineBox[{{62.346777975974554`, -2.150241040285264*^-6}, { 62.37315098470403, 2.1492949438627394`*^-6}}], LineBox[{{93.24405174358257, 2.1492949438627394`*^-6}, { 93.32887434798602, -2.150241040285264*^-6}}], LineBox[{{122.80201244686147`, -2.150241040285264*^-6}, { 123.13844559996579`, 2.1492949438627394`*^-6}}], LineBox[{{150.84304965881668`, 2.1492949438627394`*^-6}, { 151.19791204966984`, -2.150241040285264*^-6}}], LineBox[{{181.61562533569466`, -2.150241040285264*^-6}, { 182.38199198625117`, 2.1492949438627394`*^-6}}], LineBox[{{212.29689030032586`, 2.1492949438627394`*^-6}, { 214.10334571584798`, -2.150241040285264*^-6}}], LineBox[{{241.54664432299342`, -2.150241040285264*^-6}, { 246.43421788653194`, 2.1492949438627394`*^-6}}]}, Annotation[#, "Charting`Private`Tag$852701#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-2.150241040285264*^-6, 2.1492949438627394`*^-6}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNlnc81l8Ux61KaFjpR/Z67MfD89jnayYjlZHRNrMyIyJ7lMyU7JmZCiUp 95tVEjKSkGzJiIxkxM9f79e5n3PPua/XOed1Lr+1m7EdNRUV1TQtFdWwROzo U9ckbP0fx+uuM0lYGJv6XJZgEiaz/9LU9fFE7Nfaca/+xERMweODoZtMIha2 XWW2/SYB65C293dRScAWhh8E3zCPxzjU2f5j44nDTKyVz7K038VGlO+rUzvE YEmvqLPif93GWLnotyPso7FbvboZeFckxsZlLyMoF4E9S0ypTY8Nw8wYd24w T4RgG5nWK9ZKwZiz9gX0hi8Q22g7GO7T54eF81w6Jpbhg7WoM+q+8/LCzifz PPtt7Y65Lb6WXhx0wmrLzLTjZe0w84W0+4/SL2HtZ7/UL7qaYXMvZhbDP+hi t+kGfNtPELCicoOPRr7yOB+P2BaJXQ+/s6gvmqhkgvNlVIt1ESzx0uJ1Ap/F RdxC1+Kwp+0VPJzn1L+9mA2+7Z+xSoVs8RxFpkCYsMNPsM8dUn1hjzueaaqk IzvgxSyOr/ivOuACn5o2b5s44DcEP5UnbNnjFh79Bz9ftcfP5f/gl8yyw5tK 32Sl5tnip74O6ZIDbPBc5vwOXllrnI6hwsnz/WW8zCD+7uU7F/Ggav9XHpfP 4aT6wBafYxZ4PIfB07MfTPHWH31XXDzO4G2NEqE/VQ1xq5v3RLcrdXBhbx7d 4DLAac5M0GddJeF8yd52kaOc+F/RlI/NZGZM6vhLrT6CFOYCbitejIrYO6FD ry8bq2MstSxaU+LamAjzb6WMGF1MMsWU4ZynPqbr8Zja/bsh1nz+RU50pxG2 oFZQd1L4NKaTWxz2o+g0pnI69oLM0mmMS1bWFd97BjtwYKkoe/o0pqhIWaOk n8bGC6IUVQVOY9mX5mONaE9h4R48Tto3T2LRtksvV58bYI71ww1ir/Qw+KRU WJOgi41vakx6aOtg+equyXRDmtjrnkHVn9bqmPtrBcX0NypY4pmJaronFCza BivsLZbFDnbRZb2+Lob5+Yir3mjkxXxj0FBBFQM2wMm4KJq9iMxGBvrzMtjw /UIn06OX+PHMqGd+ussE/ELtyrsBHRn8a+GDWkYPEn6V85q2yKg8fn6fxs2U 3xRc42L2npFcRdxgcJ9/ypIS3kDFsm01qYwf5PlxsDZABS//6lXP/0YF9xyM bHlXpII/lz0cF6etgveVr5SupSjjJ/lv7KUpVsI/3iWOH7mpiLsRP3P95lDA g/vYOyIiyPjfQIXy+VY53EuTXfbUgizeGeWTd29ZBneVsZ1rGpPAT19Rjxl7 JYrP//Xp5I8UxEPnfGLUinlwnujXlqGXjuB9pQ8K7yUw4SVc7Uoy39ZR4tMX S4c4O4FXl/WypgAVJrxJNffpzAHMRv9oftgbNuyhbVx5vgYn5hvs6HuUyIvt GYhJmXrLj1ULMLJfTBXE6kqNWNz4hLFaqTcuDGdFMP/oPy/oVUQxpS7NRK4u UWy+Nsi/jpOAfVWsU+TjImBiahXA+UUUez6DK7OeFsVenz7GsRgrgrXUVhdv Jwtj/6oM9EadhDCmWaoH/uyCmE1hbnR/Gj/21rmVW4SaDyNZebtwZx7DhM1U a11Y/sPczxJkT1xjx5YnX36wf8OMbZ091cdxmAl7U9BuNviSDrPzDov2pd+E R1ZCIpW8MxD3x4g+6u99dMHrv41HvDPoycsJ1dStv8hq+6WYGi0Nnv7inUMt 0z58xlmatyCJEdf97Mr+Ku4QnsiYTD5xixnP86mjeT/HggcI09s6srDh6qFl KskLbLjJVzLt9Qh2nP+ShstKLzsuYicSWzTOjpv5rC3iFex4u5L5mw0tdvx2 BZ1gfBYbHpb+3OHYO1b89bhCVgrOgt8L6rZTSmDGfZkOf3JWO4xvkxuUPVIP 4J/8egXcoxhw7yNBrVSn9+Fc7NGY5DYt/lDi8dvaDCq8JnjtH9FlA9XysHr7 FS8jI7a3/idpZlCe0S1lfd4BlHHKqC1V6h5y64vtbYz4AgNcPuMrTlOwJh7B MGazCEwd+199FlgFZWmnfQpO6zD6afRWodw/6CELHFFRo8Kc9vWr92RSY8yG a55ztTQYO+1qQXYyLZa3NsXcJEGH1c+Lpo2H0GHZE3dxqVQ6TKtg1t3Rmw67 Fe41OHmEDmO4XOzuFE6LlSdKxYvU02C/enIv5XRRY3yJR3bya6kwkY6rUXY0 O1B3wcNswnQLauNDAhV81wHTDMoc8PoD+xNYW+XMlsGXoCnuK7wIpwnSa0eH fkLDeI3NvNc4NNVOea1pDsD9byOvBgc+QqJQTZ0IOQc+Ny8luJQ0oKLQmpJh hs8o8JC1ncCe70j92sn29ZRxpDH141FI3Q8UbPelJNdlFtXyMTt75vxCdVqb Yj2li+g/60cdWPNvpMeyLn4lewkdsLzn2KW0jOZjFz2/3l9GNhauXJdfLCOX tfUjP9KWUUjU2qSn3jJqj5RcCG5aQnFrGRt/Di0hzhJrdVbib9Q26Kx2XmwR LTYVbvFR/0LHNvFjUtdnUcETC5eBmmmUSxK0U/wyiWYy3FkM+sbQy5RZz+8x w+gVywX/YPN+5DhpMbkj2IPEHX/o0+xtRQ2lGa5RbG9Qxt6V9kuZ9xBTRJ3v V80KCPLuM3PlaoSgMv+C4vE2qCoe26+y3A06vhkb+fv74LqOVKzVkwF4mM7+ UfXbEPzMiSkY1B2BP+U/XC/ajMKzOx9kLqiPQSFG9NQaHoO0wnh9gsY4ONgY nGt0GId6K/n4y2bjIFYb1dDNNA6CNmUxdolj8O0nw9mOqVFILTtMzc08CiYu uvKP2Ubg9UQkUXBuCE5a8Gof8x6ErFVupX+tX+HkM0nZ1I1eYOVg6sGZesAv qDmXn7ETHKTrhp23P8DqrIO+zkQj7HtHw/mw8jU0MXhLs9c8BY6fjZX9cYlw gek/qYNX09DMCaZvjrQVqPxGlG9yfS0aDdd0Oj5Sj7yq7/FXrjUje2cxM76c D8ilfXBL5nMbui7tbLk/4RMKsdsOKpvuRJSWnBuZH7tQUm8gHZ9HN1rLfc4k NNCNern7I1Toe9AC7lgR+68bEZa71VvfdKNAOt0YLr1uNBbDSn+0sAtxn1iA qr5OVKaxH51v+oTu292xYE5uR6Xj70aHRT8ie2E7NevbLUg71+qecUMzYh/k 1L72rQG9Dfml/bwBR1u+63aHX7xC9JQfxpBXhRxONJ2NVyhD8Xn/9IQ/ZKFg 2SfLv0yDkOqHmVMO9nchjicseC02F0yPDNQInCuD7Quce80olcBJt/091qIa jk6WeTAcqAVOD+f7gkZ1cP2tnNMQ41uovs9+PE2uHkhfV+hecjeA+0OVP+at DUBdEBVnpNwIXvG05w65NYJHR1FqoVMjNDUdKyyTaQR3ekEXufoGiP+3ebhB oAFWGU/vUbWoB6ETUc++2L2FPP6NVuYcBAYtw5l/KG+gmE2Sain1FYxI1Re+ 7a6GkBifQMJsFTAQuMK+zT0DZos2clNDGey0XDu2mP8I+NeyW/5xZwOdFdkr TeweXEhvmbAVuwWVYYlogNUV1bmMnjMJv4u4aKpXX6o+RB2XXgRHoxx0+M3h J/F/CxD9TrrZQlMxevPMsb2C+zFyl1kydd1+gmi8WBN4K5+htzVOgqOFFWim W9495EIlEhAfbq/+UolSXsawfWetQhxn319dOFKFfvxNafcYq0TRnN/LXf12 9VstcReHK9DCP11uoaMViP3r4ZYl0WdoxDVLKlrkCZovTx+MrStDi3ljX7J5 ShBX5nH2ZJNCFGSoaXfKPh89FDasKr6cg0a+3fNMf5iGxs5ylBnbJaPGeut/ 0l53UV9/F7fJyWAU8Eimkm7qCup8aOv9rNgZ+p6as4g3hMBiXXTY09UYMJWV OXbtZRLMJz1WcD6QAqwn2NQXVtIgmbPd+bFDFpgmyhd5PcuBpdoMy1e/cqE2 7X1Wz3wedPN13Skrz4dPrvf+fpcugBNBtVPVngUw7HPx3LGbBdAsc2g7Rn+X zC2p9BP5sNQu94rJIB+kJLfjb4blQXtstU1iYi6UfPv3qMcvBwR5hkaoQ7NA KrqTn+ZrOrwwtHlUuvMQNL0Tz7PQPoAt95gDunNJYDLffsX6TjzYZ22OLUnf hvcSjw6NfA2FK1Fu0V/l/CB4W5nZkNEJ6Ka9IjNs5eENlcjTi4M2yLpIRyIk wBu18I97Wp26hYL2L3hDSRgKNz2QUVIbhZJ7IgPBLAZlbNGkTnvFoYVY02/3 byegVMI19riHiYgQdtKjxD4JGX1pnLq2koTKpNasjmjdQzq/EyMDTe8hX9Mn QVwS91CV5QfO5Q9JiPO78Nlw+SRUZRNBW3ctEWF2tBPTAQkoqtahW/N9HDJe mUjzP3UXjcgpOARn3EaZNwP+JtdEIiwtco3lSRha4RbxPh0VjIj8m2G0mf7o Y1fRnAqXNypStGdkV3JGT5wr6A3az6NncnTih3ik0UqshWCNoyk8P3d1oQu3 A4WMh/0Mxu6wvnZFeNj2OswGjRfSHvSHpMjax8+1b8Ft+5dMM1Qh0DGK161m h4JSbsKT5H9hYL4+S1t+NAIcoxWpfy1GQIeau2FLZCQYOZVb2w5GwvQ+TZeU xUjoqh3I/dISCbmtvD5iDpEwwRZXw/kpAkRrJ6eK6SKgKfbBGJkpHJr1tsFn JhRUnxPPXy4Igd9yVsFcWDAsbpzDvgcFQnxxAJWdhT/84zFr8WPxBdL+Ww2P a7zA5hcXq4mZOwx3tbJ8nXAE4c7nvYflbCBw8TJHp5ElZEgU5R8w0IOFlJTJ ZUlqcLaiUHK7dVDgnabz/qlmKJG7HMQ8LqFnm93u49K26FPE6VxmwlX06xeP lVqWM3JZ91hWjL2GXPQWuTT93NE041JKjr0HmndpsWY55IlcOqvaKrw8kZj4 gecnH3iiqD8Xq877eSI3+rSdX7yeaO3XG8nsWA/keZr1cOg7d9RdX/1LIssN dfKe6bO2cEWGMWnO481OiFC788z4twPaR8i2zZy0Rffkv8/3ll9B/dPeFSKl 55Forq1pfpsZ0s5UcThVcRKlj6Vlqt3FEHOkkNbaxiEk9vl+BPylAFieeDF0 +wSs/X3B7BxuDF+TF38/crWAALf7uPnyBSgJnJ/4HX4FtDhv5VT12MCVR/90 RkftYPVmV6rRYwfYczDtZCXRETqLiofzXJ0greoZf6K1Myger4x/e8gF1gaj CtR8XCB0VOtCd4oLpO15xLu+a2uJKyh3HHGB/uM2FKqbzsAXUUrGi5wgsy/i XlmuI3ilcexpcr0KK/c+XzNhdgAB8frC74l20LL/gznLqg3UGnMrVqhbQ8XH oPpQ/8vwb/yXVMTpC/DD1yiIP9sSpHtnnzfPmoHa9mLPnLoxOA27mTCfOQlB eduFX8yPwyPvJssOIwyu9hW8XcgiwaLicYcPi5zwO1Xv8zoNM0o/2zyUFiGJ 2gQEsxIUFVCvWzyvCRuGqFmF6RmmNJFGZcutusc6aOpIrdLoN10U3jZU1Oaj hwrV/nwIDNBHWPW5tyG/9ZFhd/bP/gF9VO6vRvsd9JGQF1bPJayHqi0Omso/ 0EWPnBxNa9J10JjU/lgadS10zjOVgyVOHf2m8g9qEVBBOOsP+cwyeRTREvbL PlMCfTA1PPsjgROVyDNokvx+qBk9xTh8vfhgjFnzgWmgDMizhLlEySvAnn03 l85HAiRsXA2HTk3gkSHuOat4HDqmyq0EvPRg3qRHQsLPEBzyPN2/a52Cw0Px NW1Tp4GpzcC4j94Y9hytt5ffawIbJm+CIoZMAM3l7UzFmsJ3j9Lg+SNmMJK1 upF7wwzO9FxuDagyAxaz3PJLLWZwcvDvQFyNGZDOjuqWRJjBPXMJzRxZM/js 9dTvCTIFsSP/Uo1kTCGo1fqebKQJjF6krZR/ZwxvO1/kmi+dgcHv9DcrD5yB jpj2VWeu07DCdKL6kpoRfHZnyDYgG4JlaumxLiF9+Oc/S9xkPgEFo+el0mmO w5B6WqjylhYoSa8cPkinCZlRgzMzPOowJhcDfnmq8E3bXnpDTQnu+Aj8d56D At+rCxSK5eUgrVR9YCqNCDsbhtUKGZJAxd1BuptHgHCHwNeNhsKgcUdh77cM AZh+kOr6I4kPViXZvDWteOCrn9Rzps5jMDch9G484Bj4ul3V9zfhhhM9bMrN WrxAxZ5wNp+bH1oTFpSesAiCGx8HarkuDMob5KC/ygQQ1omjlJtJwHOl0eKZ GmnQ8Ij5UyMhC2HP6H+uMMuBxljoz1B6MkSFhD7qpVcAz5cSuneYlODHc4OO GwdU4IPHcbbGPWogaRl6cWwBoLTs2HNLG3Xgn1m/+lZTA3Z0WFf3sGnCK+me cb1eTdgY6recD9cCipvUcjK/NtCvCHSIlWqDZMdCSz+3DlyVfLx+JEAHjG9H Oj1o0gHmqfvCRms60LrFlunJdhy0JXRveR07Dl3nRbbXDh0HfR3qZwMLOiD7 NP+PUJ0OhBoF8DP46UBJaavOmJAOeFWdmRZq0IaN0UfhNsbagELo92r3acHc zhf1m8Za8LPCO+B9syZImakcmyVpAmNngk9RugYYV9SMv6TWAK11Elu7vTp0 /qhwZk7FoHeNdmLpKgBn+9OH0upq0MH5qSOYXxW+H3a65nJIBTIXH6hTmJTh 0ndqltH/lECjsLROXFkRWGY5WO5cU4BDAVV5UjUUSNHfvLy5W3/j1/9xJcaR IalR64XOMTIoZUgISNTLA43dDiNzoDywkKO4ok/JQ+lKxKdJBXk4J6bac4Is D8uNdxsyj8vDTI7biQInefAnBd5eyZYHpRuW9XST8vAv2GqvjCIZyv8GCb1M IcPdd/FundQUePXVLT7fmwJbvGpipr8oUB9qc26vqwJg9/W2x38pwBBRIJPf UxGa373nol1VhProbzvD15XAoXHMVHRZCepOeAjZOCsDb45EoMqQMpj3R9P5 6apAvyId874SFfjrVGGwSqUKrYSY/htGqsBQcod9PkEVIjRFKnveq8LrLMsX n5dUYZ/+H7yOWQ0aRzrZQ4TUgM5RSENeQg2yBE9fPiiiBoP2xiL27GqQfqfp wdN1VfD4XBPp16MKo8NDs075quDYVUSr7qQKJmqa598TVGF7rqXl+7AKFPBd 13dPUIGEre9r11RUoJmde7ZnVBnW3S2x9HBluG7+ULheSBm06ZiOYo1KoKRb Tdp/RQko4lovGXcUIfzqmXpCliK0ffskQ8EUoTif5f3mmAK83UmIk72jANL5 t11ukRVA4vwcle8kBVxCuN9mpFGAJHDU4oIZBajaPNlZjlCg62y1INUQGbbs PlIsSslg/5aWUeEWGe7s5Aw+siDDav0Me7oSGd5RiStv8pHBAT8xlXqQDAEL BntUaMjAcnOQJ3lTHq6Gfaw/uSEPOeI+dHu25cG7ZIL95F4yvMpWGXjGQgbt 0qW45wJkGKslXusj79Y7PPHMfQMy5H1kNrxqQ4YDMZGKrQFkGGZMUaDs9oEh 7zSXeCUZ/O/KIdH2XT2rSLH6BxkYzE/stdntj4CGCLrG/yhwVkDSzItIAR++ XF5OHQrktD0hOphTgG7PqRtsDhRImI6zm/La7aPSDb7HgRS41ClUiIVTwL7y Zl1EFAVustf1ue7ytMuztt9hFOibZgti3/VruvvZYcqTAqEvRhlu2lHg42k2 iyVTCtgJow1PDQqwWUWmiUtQYOio+eGTLBTIU6dLYl0jQw9HUd/rfjJk3bZT jaolw7hc1PCrVDIIh9k0p/runq9ObrmakiFR4UVrIJEMt+Javx1iIkOKY1eU 4w95GGgLPdzRsDtHe7RobmXJwx47u+Rqf3mgJBznrTCXB+cnrHl5u3N1o7Db 8jXb7txpGTqJrMqBQOHWw/19cjAW8e+/iFo5sJ2eulaVLQfszkTzkkg5WF3w 77ruJgdBrPJSAlZy0Pb2rkTlcTnQcxmRFiLLgTbY+3oIy4FC+qJzHIccSH7z nndi3PUX2apaopKDGa+YqgN/SeBXUxWVs0iCqNWx8bszJFg/ML2vcpIENOas lPlREoQOdYhzDpPA3e1FEusQCbjfNQRVDZJ298LiQM8ACQSo33cZ7VLnZx7s 9JNAjbePoX6Xa3afbnvskqnVuW3h6+69rZ3ZY7s8GPnA8NsXEsjmTPey9pJA 98qIwONuEozPphQlfCKB3ZPc9qcfSWB7s3Xv5rvd982GfbGvJ0E2tVL3TC0J mn6PPgypIsFywbkGQhkJFpJ23o3kkiB44uDI4xQSWKtkjibd3dX9Cw6mB+/G 0aGe/uRFgrshLGtq9iRotmhMXjYnwWP9P+VUervxmP6E+yiRgNyZ7OUgRgKL kebSqaMk2Am4sbyPngS0/iLuw39k4ZHG9KWQSVmQ4q4cp/4sCysCdu+8G2Sh ve6v7vwzWbBu95gLzJaFbLZZI8U4WfgZ/uevZKAsOF1uAGcXWbiXzcFHfV4W 5CsdpTcNZKFNbtPXVlUWClyEbhyXkoXCY++ZSnhkQdSv3D3psCzQHO1T3kcr C13/PK0Z/hBhzlxTN/MnEXL3kxA+RAT8UAu/ezcRIh9x2Ze9J8JW77KMax0R ilmKfz2tIsJG/9W/LqVE8N3rXZyRS4RLnGO3KKlEcH4YpiGbSITYW3HcYbeJ sMIQ+4E/lAhahspFNDeJEEDanOD0JoJabVTWJVciGPvabTXbE0E1n8VY6/Ju vk1r5XZLIkg6blZYmhDh4LlkmWFDIuRP/ntlepwIrz3jNiuw3TyVKiYLikTI dPg2uodEBJPv+1IWxInAVv9JsUiQCANi246EY0Q4tGhZ7sZGhM+zp+z9mYhw ooO37zgdEaRPKSoVr8mAl/+FU9pTMiBpHe9o81kGUExDKH2DDPAKl+8oPJWB NmeLe2vpMmD8XpLfKFoG5vJ6M7S8ZWAjznV65JIM9KperJAxkIFv5FuGyhQZ cDuEEhn5ZSCzZvrlE0YZqBesIcr8kYZ8ho6IhyPSIPthkPKnVRqeZ4ukmryQ hsTq3zWvs6XBk2ZdVemONFic4jD84i0NvwODrmdc2rUPPUlP1pcGDseJ0Xdk aZifQhnK/NKwfChb5w+TNFwzX3ff+SsFomZF760mpSDQiYWWqVsKEv+IzLHj UkBOpb/g/1gKzN3O6CinSUGD0vtnZtFSIOmn2fnRRwoKWSvp0u2kICNhffat qRSEpzu7KWtL7e6l6R5aeSkwAeHWo0JSoIWNhnizSUES0/fXzHukQEFSY2hm VRLYrq3TbExJgp29BrvSV0kQfPtlIPeDJMjIvWOUfi0Jnwk1Nn2PJeG+5IWq lCxJUBOYX7yaIAk/c7J0dUIlQXR+TFjUWxKqGSj6++0l4Vrym44pc0lwzZKR e60nCR/ULtqFqkgCcQ9Pi6LU7v/xTbriII8kCLzhZ3E4LAnlSebEAWpJOKr8 a4G0LAELUT+l3CckwCD+uk5irwT4G/gzPXgnAYSIxY5bLyVgq+KonmGxBIiP lefsPJSAWX3VC2m3JeCCeNklHn8JEPQQ6o91koCnB69rzFpJAEbHcFLJQAKu mlWO+avsklqcuUpCAqgWn9FNckmA+kD1FivTbhy8UkNrSxzA1ZTLZ04c/u7n ef/0mzhsbLq7LbeJg960qqB2nThQG2p3FJSLQ/9lIdLRLHEourx3JCduV+8A OY0gcXgeFW+46SYOJ4S9D3ZdFoejBwI4m86Ig+98VnuvpjhYhlhp7JMXhyu0 GXqWwuKwtBZ0ve2IOCTTWBy+Qi8O7/UCBTk2xOBCWMWNX7NicOwGZE4NiQHr rOfk9icxCDrX5k5pEAP+CTvpu8/F4A7Lt9HtQjEwyLcjxKaKgc8Q+Rb5rhjk bK5p/bklBkviDk3tHmJgKDytVGsrBq+q2T+/MhcDHjGVulZ9MRiMfsA7qyYG P2x8xP+TFYP/pqg4TITEoPrTe8kUDjEg4yPN4wxiYHvyo7HCNgGmV99eSPhN AM+extj5CQLYCrGUnPxKgKT/LFOefiSA4hddGxacABY5NSrXKwkQIBbi3feI AEOvmyMVUwlQkxB8+OFdAkQLR3xeDSLA03LVV2e8CHDxs+v7MnsCfLxTQaCz IoD4uwDhcycJ8N6NRrBCnQCjK605e+UJYMLOTTkvSoASYyy+knM3PynTieEg AV5k9Ny3pSaAC/XjmfoVUXAJFjQUnBYFhofW+bcHRWF55PO31Q5RkJo+Pnm1 QRTmFuWKxl+IAncAO71DiSgY9e6fWs4QhYcffdhjEkSB1HPgklS4KOh0jwYO +orC/uZu7gfOosA2yTVw4ZIoOPLKqcqZiEK19kLtEV1RyLSqe0WvIgol+Wej 98uIwv/+M5GN "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.883720849774865*^9, 3.8837209042718687`*^9, {3.883721147029759*^9, 3.883721206057273*^9}, 3.88372200428364*^9, {3.883722130758728*^9, 3.883722161815539*^9}, 3.883810284796789*^9, 3.8838125900189657`*^9, { 3.883812751688027*^9, 3.883812775823365*^9}, 3.8838129122125807`*^9, { 3.883814393937422*^9, 3.883814417980858*^9}, 3.8838144827763453`*^9, 3.883815422969491*^9, 3.8838154838757772`*^9, 3.8847695351040497`*^9, 3.884770981625286*^9, 3.884771036181451*^9, 3.88477553993146*^9, 3.884779943163752*^9, {3.884780499717718*^9, 3.8847805075371227`*^9}, 3.884782509121031*^9, 3.8847833091445704`*^9, 3.884844593421431*^9, { 3.884844840639995*^9, 3.8848448455119762`*^9}}, CellLabel->"Out[70]=",ExpressionUUID->"f85d8381-8392-4276-aedc-81a22985fe64"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBEQPu/CFib1JlAgAAADAAAAACAAAANbC1qO33akBiX7yFGpLSPm1o05cr kGtAHip+Yq2Ilj7ySfffPJptQASE2kx3r6S+H5BA6yPQb0C3p+LVTEPSPs/P oe7Y/XBA8jsXMlkGyD5jVeWj5wByQNR607EzlrI+S427OuEZc0B7S+cxbHG8 PgfD040iIHRAKlpIjr8GwD4Xq37CTjx1QLhwYYzGprY+0HeGak5TdkDIDfxl U8+zPl1C0M6VV3dA7DZl92eJtD4+v6wUyHF4QMALai+xabI+8jnLFkJ5eUAN kHWI5yGwPlCZRoyPe3pAh9fiIFx8rj4Cq1Tjx5N7QI+gLxu3r6w+h7qk9keZ fEC97BX+VFOqPmB8h+uytH1AN9JrJJhKqD7jIsdT8cp+QJBEfTiayqY+OcdI eHfOf0CJ9mqTx12lPvGOLj/0c4BAjdCW+Nrmoz4wuVmgUPeAQFVT5mQ9vaI+ xFUzuxZ4gUCrJ8nF17OhPoJL1kbSA4JAG6DUJpyjoD4qQJqwMYaCQExgpa78 d58+/I0ni4YTg0C0EK6BZbGdPrfa1UN/l4NAkbAXuI4onD7HmTK24RiEQANM CziAwpo+AbJYmTmlhEBD7LTfyVyZPiXJn1o1KIVAihwr8QcomD5zObCMJraF QMKM3Bn88JY+FhxveIFBhkBbb30H3dWVPqL9TkKAw4ZAsUbbOgnglD5YOPh8 dFCHQL3c66dJ55M++HHClQzUh0CJD3OkUA6TPu0dO2gOVYhA08I5vNFGkj4M I32rBeGIQEJURkPse5E+FSfgzKBjiUAlQzSUPMqQPkiEDF8x8YlAJDV+ElIV kD7PU+eqK3yKQCm92dkz3Y4+QCLj1Mn9ikBxtLfJILiNPttJqG9diotA2rNz yVCMjD5gcI7olA2MQL5nM+wqhIs+D/A90sGbjEA237ZhzHWKPhPim3VYJ41A Mm0PITR7iT4B0xr3kqmNQLgzCme8nYg+GR1j6cI2jkCjkqS4IbqHPhtmzLmW uo5ARY6f5Y/whj7sZR/3/z+PQIp6bYOcLoY+czBzLw== "]], LineBox[{{34.61271534950711, 4.427604007671426*^-6}, { 34.62108944029491, -2.361271562371293*^-6}}], LineBox[{{65.7623751365271, -2.361271562371293*^-6}, { 65.80599682840372, 4.427604007671426*^-6}}], LineBox[{{97.54282118227196, 4.427604007671426*^-6}, { 97.69756667061588, -2.361271562371293*^-6}}], LineBox[{{127.99803761389978`, -2.361271562371293*^-6}, { 128.5942765076128, 4.427604007671426*^-6}}], LineBox[{{159.8702899466049, 4.427604007671426*^-6}, { 162.16102105616403`, -2.361271562371293*^-6}}], LineBox[{{182.68800802132458`, -2.361271562371293*^-6}, { 186.05790102452877`, 4.427604007671426*^-6}}]}, Annotation[#, "Charting`Private`Tag$852762#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-2.361271562371293*^-6, 4.427604007671426*^-6}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBEQPu/CFib1JlAgAAADAAAAACAAAANbC1qO33akBiX7yFGpLSPm1o05cr kGtAHip+Yq2Ilj7ySfffPJptQASE2kx3r6S+H5BA6yPQb0C3p+LVTEPSPs/P oe7Y/XBA8jsXMlkGyD5jVeWj5wByQNR607EzlrI+S427OuEZc0B7S+cxbHG8 PgfD040iIHRAKlpIjr8GwD4Xq37CTjx1QLhwYYzGprY+0HeGak5TdkDIDfxl U8+zPl1C0M6VV3dA7DZl92eJtD4+v6wUyHF4QMALai+xabI+8jnLFkJ5eUAN kHWI5yGwPlCZRoyPe3pAh9fiIFx8rj4Cq1Tjx5N7QI+gLxu3r6w+h7qk9keZ fEC97BX+VFOqPmB8h+uytH1AN9JrJJhKqD7jIsdT8cp+QJBEfTiayqY+OcdI eHfOf0CJ9mqTx12lPvGOLj/0c4BAjdCW+Nrmoz4wuVmgUPeAQFVT5mQ9vaI+ xFUzuxZ4gUCrJ8nF17OhPoJL1kbSA4JAG6DUJpyjoD4qQJqwMYaCQExgpa78 d58+/I0ni4YTg0C0EK6BZbGdPrfa1UN/l4NAkbAXuI4onD7HmTK24RiEQANM CziAwpo+AbJYmTmlhEBD7LTfyVyZPiXJn1o1KIVAihwr8QcomD5zObCMJraF QMKM3Bn88JY+FhxveIFBhkBbb30H3dWVPqL9TkKAw4ZAsUbbOgnglD5YOPh8 dFCHQL3c66dJ55M++HHClQzUh0CJD3OkUA6TPu0dO2gOVYhA08I5vNFGkj4M I32rBeGIQEJURkPse5E+FSfgzKBjiUAlQzSUPMqQPkiEDF8x8YlAJDV+ElIV kD7PU+eqK3yKQCm92dkz3Y4+QCLj1Mn9ikBxtLfJILiNPttJqG9diotA2rNz yVCMjD5gcI7olA2MQL5nM+wqhIs+D/A90sGbjEA237ZhzHWKPhPim3VYJ41A Mm0PITR7iT4B0xr3kqmNQLgzCme8nYg+GR1j6cI2jkCjkqS4IbqHPhtmzLmW uo5ARY6f5Y/whj7sZR/3/z+PQIp6bYOcLoY+czBzLw== "]], LineBox[{{34.61271534950711, 4.427604007671426*^-6}, { 34.62108944029491, -2.361271562371293*^-6}}], LineBox[{{65.7623751365271, -2.361271562371293*^-6}, { 65.80599682840372, 4.427604007671426*^-6}}], LineBox[{{97.54282118227196, 4.427604007671426*^-6}, { 97.69756667061588, -2.361271562371293*^-6}}], LineBox[{{127.99803761389978`, -2.361271562371293*^-6}, { 128.5942765076128, 4.427604007671426*^-6}}], LineBox[{{159.8702899466049, 4.427604007671426*^-6}, { 162.16102105616403`, -2.361271562371293*^-6}}], LineBox[{{182.68800802132458`, -2.361271562371293*^-6}, { 186.05790102452877`, 4.427604007671426*^-6}}]}, Annotation[#, "Charting`Private`Tag$852762#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-2.361271562371293*^-6, 4.427604007671426*^-6}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNl3c41X8UxyWSKKNINg2KSIr00/uLEEUpM4QkJcooiVAk6xr32ptr760U 3UvJyigjKjQIpYyMUPTz1+c55/N6zvs5z/mc53OOmLXjucvrGBgYxtczMBQG GzpfbYwj9gUdCjbLjiOe680vyjvHEb6vWb8bSsQRZneUJXRaYgk6h3Jeo3Es IWD5uTmuO4a4YHCa9/GxGEKQT3rwUGw0EedoYKH6OYrwfM7bvEsoijD5uOG3 sk4kQaP2sy47RhDiygrd74MoRPdu2iG7RDKxzb17wEEnnKjr3fyh2DiU2L7B Uue5GYnIfuO3vtUsiEiRK+1/bxpAeH5dxzNv9pBgDcohVi8+IN6ofjWrcfQh WOWGTsZy3CPawvoLT5y/S7jzdjJsq3cjUkbNV3eeukVsqbHgOfzHiXBQts2T yrMnep7pS2lUXiYkS+a6/AWtiBZe9w1FrwwJ79RFnec6WoSuoSSl8No+wn1a T/zQ3EF6tTtNYvf0CXoX9+/kPJtz9D2BvtynmU3oOqtxjDOD5vQ/UpnTk+5W dAn1J+0de6zpjdLjy/bul+iB9bfbdty2of8cCYtPELtM3+YVvYnD5zK9ofKS 4df4y3T/1cPdzc6X6YKmo/bkLZfpcqnfNsut8a92/BkvKL5EL76p+4eBZk03 99z5TzT/Ir2KudPn0x0rutvT7IU+Swt6Z1fTtHueGT3goHSj6DsTeszeo+M1 i4b0E4jPoHLp0+NFRR/4SOvRr/caDdSln6S7Ty2bsHJo0EUfyzPMGhJ0nsuz jCZMh+l7LlVd++qxh64jKn8hNpKBztD+9Fj1kx3EdZ2pHdU3pYmHemyGeicO ExZ3rtvPkf8jfK/lztCDVIjyC9fmN46pESYHfiau/6xOpK13uWfrrkmUbmJs 7y8/QWSUtNe9I2sR86Rb8TnbtYmshxU6e3S0Ca6JT8cb5bUJlzR2a/seLcKA nUo2OKRFPJ3btonJ9ATxe7w8SlJHk3C7+eJdAJcGQaHG/PtWepyoGuXM2SCn RnT6hF+5GadCZETdr5X4cIzQn/hRx3v9KHHC8dQjq18KhJI0TwvjbXnioJIx wxHGAwSzwZnjPSp7iY6TLfRT5eKEaE3slNZrPoKxufepMZ2VuOw0tuSZ+h4H r3LbZnmsoy/fz7Ww1OSmM14THpsZ4adTeXyidmmJ0VNWv+p4UXfRnwzy37rk JUFX23vL/NDAXnq/yeLhEroUXW6h8Hvfvv10eRaHK/1iMnSH61N1n/Jk6JNT 99I2tMjQ6/cnWuzyl6EzuLNKV4/vp3f8ssh4sShN38s/yFNIk6KvsCl9FDi+ j94YsIHpa5gknas91Ohr/h764zNPDH+k7qLLU3Jn0m+L02nctuddFUXpZ75m vF/pEaBbSRM90zLb6Zs5ysv0SNz01NuCu42n2Oi6ki8M5xnW04t3Khw+3jBH S/hv+V3vkTc0QRbVlkvuo2gLlpn69mwJHZz3zRdD1xMH/WSlRKmsRDbn6e2J nByElUBZ4N0JLuLXwIksv8WtRD/766zxYh6C1Mv3WYpjO8HiodjTwM9HZE3m H97Yw0c8MaX1b8UOgrqkUVptvoN46qJ0zObQDiIhz6GctZWPUI3r5GbbyUd8 lThOEtfYTohwaanrKPAS3z7kfSn9u43wzBoaJ6dsJSY/Ke6WE+cm6vWO6zeH chImPz6KDXRsJoY/+vrxXttEvDQ/ORO7uIHYurv9/e6H64k7DMUHB3cwEFHh 6k+J+0uInDZ+s2ndLB58xXpl0jdU6ZDOzd34gH0V/0p3LFSCqHdrM8rvoDUZ 3Bgb3PqZFtLhemQp/Btt35D17pzgaZrB+oBNvR2ztES2ibLNkQs056+DmZf6 FmmnNDMqzZKXaXovNvq9GftDu+Lt+fPd07+0x0YitRkCK7TfndVSxpwrND3V +tS51L+0vpT1Kwe7/tDcuuhsFiXLNJ9tfaqHVZZoL8t8dV+F/qZpJ/qU2VLn ad7/5dRc8pul/Vy8xMunMkMbjCg3dar5SQvUmxD1ahun7fzvkkRBwzDtlOzF 4+x2gzR1lbAiU+Nu2r1BBufuL89pyt731NTnbKHadELAZuA51q3Tk05W6kIf 2c7nn+d7/BJS/zK79TNmGo+6no0ZwdVoOS/BujG4rsMZudDvINkdu1iz/ANX rrKd2ssyhdNT9T1bzk/D4N92uszqNDz59fYP3ZxBiiJx/kHNDIb+xRjPv52B YaTOlGPzDHbcMdwUEDGDRvOVbzuOzEBeW+mEZu00fkZJPjQTn8ZIxbeDSR8m YWDKEmuk/hO7XOZf8/tP4FnC4max3G9ob4weCS8bw0ttp/SreV+RHj0i7xoz DPYPX+sU733GpSlFyeruIdDk69MNq9+jRXj33ZVHb7Gb05rb7V0XHtxTdxM4 24F3Svan2E2aUH/V/KNMbx2oPt+bUnKqIGC5iWRxKwu/mc5LH2a+gR2dN6VG y1JowvVlzH5SxbTdr6TUQ7SraGejaP2G2k9purtX2Bn5aTS+/iCZtot1NBWf obfekvW0b9+yq3qu1NNe1Fp0FUjU01Yp5+MGnOpoJVb6n8QTaLTdb2YfKYfW 0NjFCY7y149pGUpLD4c9KmhOXqTPChpFtOyHpZKkZ+k0HdHyNkO5MFpS/5kE D//70Pr8tbFeNA22MReDpE8UwuZeJ/d9hUp8EeR5cUHhKW6sGxD/vLEOQbN7 jM6v1bdPUM7eMuwlWKMJgWC+Zmzkmrqq4dqKJeYmw7epbThuEfjDLKoDd0pI X0YlXkPm4irP37HXEEj6trkm6A3eX1RP7mHvgp9ANIuJcxf2qnrrFz3uwjvP v9Nhn7pwrKCkk/FnF8xo99fpD3VhUi2FecOjLtjx7ul769qFuxbf3xWKdCGS L54WWfUGX21lb1covUHsF+5TWsWv8bHi5qFEntdwrrj/c264Ax8OMKhfJrVj 0er5EseeNlRxXO2yqm5FyruRuETNFkhcKGPt6mkC6jcMv7dtxM7YPztPMrxE 8ecb965lvgCfjtuyotFznLtROW3GV4+t4yeL9d/TYevx6OB/Rc/QYBMVVVVY g+PbLThNPzxBHwerCfd/1VDoHOMUaX8E5btGH4QiquDbcGOIM7gSC53/5Vyp rMA5rzMyrJwV+OH6sdcisRyzgZcPWhmUw3TfDqfUI+UQH3GWNNIoR9WCrKeL Wzm2OItqZb4qR+2RbzrXUIH93ZG7RNoqIFCoMszsXAn582bHjfZWwXupUUVr pgqjw89YRV4+QnjWXVl56mNIPJNn+utTjeMF6tv5bJ4gMH31hYH6U0wsF7RW itTA7WbzpOtsDbItnON4ntUi0pvDw8DjGZ6VMEJpLw2k/EI17mYabMyirt82 pCO8yVNU4zUdhfExxV0CdTift3urr0Yd1Fr8eFkv12H9Os0bVh510NYSu5n6 sA4FzMkrS/51CFRWsqR51yH09eeP567X4ZPIJOT16xAZVMw8eaAO46Gl7OIs dfjTsTC6UEiHu+rCUWuCjnsr0hPrm2jQ0niRZKNBQ4zymTLu2mfwSmD3SJZ+ BuZdbFfIcbU4V87I77iuFuvCv6Psag3mVeVGaJ1P8Wn7vMVPxacwmDji5Jn+ BBbhce8iOZ8gjO5mqvqgGoxW8Txufx6DNP/xwiaPxxCI+jRW/u8RXtZNmW8K fYSPLbanQsQfoZ/C4RhTVwXTrqlTdlfW+juQi2fv9ipM4Er/UGclikIejrtT KiHYRPV8Y1YJqVKee9kyldDqI/tmsVbip6/Y26s/KtDtalTq8bYCn/TH7Iyb KvDxIaXOkVaBAW9JAamaCuwYUWr+VluB9Rrb5FheVOB+m/ufD2v1vm3Rtq3u XQU+fGJLZ/9WgS5hymuh5QoEiDP5GbBX4uVUxtB2kUrsXyRR38pVIivuyKWN 6mvvI1YoUcawEvUxxT69NpWY461riHKphKRVDiendyUevF248du/Epmu4p4s oZUQuVrrykquRP8D/Z3d4ZVwF9VJ0gyphMDHMz/PPqxE0gfJtEmPSgRf37RX 7HoluBuuKS+u5WvknssZcqIS1i3Pw1ZkK7Fcf93VlacS/rINzjsXK2Do2nzg WH8FYnTaHVaqKlARRltKp1TASkug29G+AuzpGjK5xyuQlZgQSeGvQNDtUAaX 6XJ8cW7eFv6yHDE1fDr7E8qxLqFQM/xGOUZ+T4jOq5Ujz2TuQ+L2cmSy+/bV /ihDi1T3hdDnZRBY7FFFfBnilsrD/ziVwawq98wP7TKwvX5henBXGUjcPKrf /5VCNytDRWqwFA2Dp3VYaktRUZArRkoqhQ9PlQPNuxQqh6wXM6xL8XXzne9K WqWY1y5l9ZAtRWtPArspXymCfCenXjGWgjzVkOU5WAKLWstSpeoS8NXWb6NG lyDvrqLffdcSaJ3Q4U83LkGsS9/e9v9KIGLUvqFJrAQso9Wt+qwlQM40l+Kv YkRpt5YcGiiGpK6aCVdTMRiP1h+LLC9Gi+kQ1TelGOGx8ib5wcW4qxR6tP92 MVwDZkMHrYuRsrbyhJ8uxsd4oexGpWKo/Aqtt9pVjKXzYueJLcWYIxvFaf0u Qv+WTLkrH4uwd+G9aXBjEYJYimuzCoswqadqVEYpwtnaZ4Z5rkUgc86PhpoU YYu23JL10SLoihisyAoUIcXUOfnfciE0s7kcP74rxHySNvXj40LE/deewx1d iOV0kZEQ50IU7Z/XtdEtxNmA1wKlkoVoKulxCFxfiKdKlXPMQwVwvxiZr1pd AGmVlLsGEQVgv/xvnbFDAeKPtqlc1CxAx7Lt5WDRAshW0MLGl/Ph/5aWQO7N B5PDvuXo0nzY9bOQNoXkQ+N4sfvqlXxcEnKWvK+eDy/WbqEksXxUifAtmf/L g2/sP4dXg3l4suOCymRtHhZ0YdCalAd7T+USa6885EtTQqst8uCZ4un6SiUP 86L+Z+J35kFEi99XmCUPt1ZZOI0mcmEdZ/ZE6XUuYma3Cz+vykV92+kvo4m5 aL4l2J3im4ubiRzsn+xy0V4XLJh2Nhcs3hXSPUq5yJoOFnMWzwXWBjJ7tlzs un+1vXouByuqXQd0h3KwGFi6Rbg5Bw6nx0ZEy3Ng3qWdcSopB2Fy2fVR/jlI i+TRn3XKgcfWe7yWZjkIDVD3e62Rg5+3drxTOZADeQV24Xz+HKQyv9nPwpwD Zx3bx/pT2Wj9LYOQd9mwdcneXvwiGx573to+LsqGams1T05sNrZ117R5+mRD vpQyfsQ+G7+Dg24MGGRD9krGv6vIhsRSTOsniWzsG2Hy0uTKRlrIxkPJy1nY UmrpMD6chdVWs19S7Vkwu9jxxv5RFr4vCmsWpmahovtR/kxgFjrdvturuGRh P7f/YpJZFp4WClWyaWSBfe7Yd7JM1tr/FPP8AF8WSvfLK0yty4L14hvm1xOZ SBy3LXvbm4k9O984bajLhEF+837r/ExUnmK69yMqE1WS0Zk59zLRpu38MPpa JiJYdhU/NszEqnycHodqJprYfqonS2fikIkGmzXfmr/Eq+MCUyYu3ay6Qp7O wLhQtPXSQAas3x9ljGvJQJ7aI037RxnobvvzyzkjA82tipH55AxoD9k92Oqd gUdRcgv59hnQfVz158b5DAyoUgIvnMjAmEKZ563DGeCx4swv25mBzDjiAzd3 BjaO5r2LZsiAXKL/zSNT6dBWcPBZHEwHt7T7RHdbOnQTWYuba9LxgfXXYE9+ OtJZjxYuxKdjKP+cnXRQOswDGwNu3UmHpeillPYr6bCWHrBTME7HmaaJ9iLN dJC5ZnsPKqxx50SrGnan4/ykaKM1Tzp0lG2D2ZnT4avEnFc/R8WLaaWfPiNU 8D6NVdftoSJYdLp2ZwMVAo7LPsyVVNwUbnz/K4OKf4aMEj8iqRCr2jUw84AK A293X6ZbVPxJ31O+y4aKSEKKU9+ACgU9m1NkdSq2TKTsGDxExd92+qGju6no NGQxyeWhwkLizjHJDWu2nm3i04U0nPSXF7caS8O9ZWWPHf1p2EFbUR1rTkOo +VX21idpeJXubvk8Pw0M6swVrxPT4MP/zHE+JA0R11wmD3inoUCY7PbAMQ3S 1Da1n1Zp2C3G5XbjXBouuUbuY1Ff4/+KXHp8OA26ceG89yTSsPGSrZTFjjTs ZYh1N2BLgym5LebFcio2K7+tZfuYiujPp1ruv0hF/zsjNvHcVJTsr6VPhqRC Mdhm66hzKrZ1TO9mMU7FltFz7GeVU/FX9FL3c7FUqA9f8zVjSYVUQbIQ/88U TNh75K50pcDNlUOS+UkKFpYFsmRTU1Axv0nG82EKCp1f9H+zT4EZ/VSD27kU aDcp8+9WSsFhRSbOGZEUVO6cG3u/IQUeIqK/Pv9MRlI/SyhzbzIYJzn2aNQm Y5N6q1JaRjIM/3AY8JKSYZE5yZHjkoz0cvvt50yTQZcX27ldLRksdo+W5vcm o8/3iOMkVzJEzhvZMCwn4eCJBy+lviTBQ5w52Kk1CW6Pp8s7ypNQPsh3UjMx CUZH5qz6HiQhtMiTw9chCdzD7Dc1Ddf4EBTtQhJE2Nq/CEokocP53lFZziSI XRYcMFtKxLDbtan0L4mItSYSmdoSsSE/lcmnKhHpudO6fKmJWJFGTGtgIozK ohZjXRJBZ3Em3TdPXJtnNaz8NBPR7739QcaBROyT3788yJ+I9RP9L+WZE+GT of8pcyoBFKfiY3LvE/CZq+9Vf0MChl8UuySWJCDs9sFt7gkJEPcvD3F+mICU Kb4KP6cEdB1TPl9ulgCy5TGdZc0EcAhPGZgfTICYocaRfqEEWKxvfXydNQFF QtsjBOfjUfv23IORT/EgzIs0XrbFo8doiEKrXjvd00ReZ8aj03Zf9hI5Hh+R MXDUKx46LykekXbxcPbVOLLeKB5st490BqnFY5jNbnmPbDzUXxbcfi8Qj9CY WcbMjfEYO0yxejAfh+yhq/p3vsQh2kg43bczDj+9FXnTa+MgqnrY821eHLwM MjJEYuNwfEzY0ssvDqRxA78p5ziMblmccLWMw0bLEmdO3ThkNK3M0o7Gwfj8 TgMfyTiEfV50NeaNQ21RI6HKFIdXY7wJ+BWLryV+jmc+xcLbILDwZkcsDgeq EgW1sbh4TWX7Qn4s9j7S3W0QHwtmNXmzlwGxOM3wsED7dixeCtqzfraJRYD8 jask/VgMhmjUaqnFwp0ld5FPLhZPnUS5/orEQqh0ZHFmSyzqDpelL6/EoH0h h4H3Zwz6g+SZ1AdikBAwmez3KgYHmMKf9T2NQbTK27PH8mNwNtdPqyo+Br6F Z8OIoBjkjoxtGbgTg7dhI5XBV2OwZfK93SmTGNTNmfIKa8VgenyZyngkBk6b bGYXJWKg5XhxmoEvBg4XZrz4N8bgmK3JfY3FaKxsV/jgMx4N6rcE587+aMju Ftkj0xKNfYbL75OfRIMiJOAinB8N8Q1Ee0lCNAz5NnWcJUXjwJiQEZNnNLaN y55ocoiGXZfwg4QL0ejv3fDD63Q0rG0MbJyJaOxq7u24dSAa3u2tWwLFonF1 +RdLAXc0hPviUwbXR+PzfepjkfkoVNiQjjiPRoG04R5LV18UbPaeYVNricLJ Fk+p+qdRiPh1RO9MYRTuX7Sx/pEchfT20FNx4VE4/mRy/pxPFKambXUEb0Zh 1Of20TmbKOgIKha+N4rCumn9sE6tKJisMnR0HY2C86MZkxHpKER/OC3EJBKF B+KFrAe5ovD44Qr7jfVR4D0Xwls9Hwkn4x88nOOROMo3s+z6PhKyBzOqvrVF QmKvgoI9PRJnvFYdlssi8c7m6snYzEgcZJiiqcZGIlZxW81SUCTyjM7L0j0j EWx8hD3CMRKe/4TUXKwj8fOFTb2l4Vo8Lz0PU601nalNF6z/i4TJNup5N5lI yJmvs4oXW9MxW7Zs3hYJ57ij2kwbI/HktR6b7p8IzHwtjE6fjMBKMrWP6UsE Difa1t3sjYDONgFiqjkCKrPNam61EeA8cvUpW2kEonq/RBVmRCCogq/+fGwE vg0M799KisDArGBrv3cEFjNT/fJdIvBp9bROoG0EWlj4OV1MI1C6+I925fSa P3Sblp1aBNqZ/RJuK0RA8WdMVvi+CPg1V5lUCkeg3NghY4Q7AnvDHVxFWSIg a06hXflDwYevn248naKgOiXsNt8IBVZf/r706adg8xGa7kIbBSynYlZd6ylw vufRwvCIgrrdEakx+RRIuiu4KKZSsPfAr4PDkRTQ3t7vjg+koP1du4aZFwX7 LGbvSrhQENx95OqqLQWGZlwrH80oMOPi39+mRwEXJ9/Ecw0KNH0W9jYcpSDS qWGgU5aC03nlC193UXCUxGW/gZ8COv30fjkOCpZEZw/YMlEwdifNLmuJjBQn jleTk2T8Cd2srTZCxgfNu32p78iQYT95jaWTjOUmj/k7DWSMHBS8PveEjMEz 2i/dS8ho1Jf8tTGLjDOO38aoCWScbXqZoE4mw+PF6ur0QzJe2Q1uzLlLxs66 skJbZzI6UrqGZK+QseVaciTjBTJcVlzpQ+fIqOtuNGrQIsNVat3pCpAxbZwc X3CIDAkpAZmifWT8smFkqBYlY+ja8Po2XjL6q41lvrGTYf6E8RbHejLye3dF ev0KxwXT+ycmh8Kh8jd90ulVOOpD5VyYq8PRZPajpiAzHL+iS6suUcLhMOCu vd87HAMNly5utA+HLlfB2JxxOLRYShp/qYdjPPLX+LqD4ShyEVISFwmH18Rf qj57OFLK/LbELIXhWFmn3bfRMHzXEU3V7QmDCdPn+Of1YYhOyNTQKglDBu+e sKGkMBj0aVk+DA6DZiBflvKdMPBkNJ9isg1DonQlMaAfBk79C9cbVMNwIdqh vlY2DPO3SyVfCoVhp4kgeZAtDPzczSPMy6G4Uze5FeOheMs6ucn/bShYFTQe DzaEwps3aoNGRSgShBNGa6ihCHA8rKFGDoVL40XOfu9QBAcpKnhdD8We398z 5cxD0fGn9eT8yVAMeKjwNiuFouxK+3yeZChY/rL1J2wPxcRsUUHChlAYDN+1 zJsPwdlggy+NIyEY1pfeOdsdglN0di6ZFyGI/LM10a08BMxht0o7qSGoXL6l okAJgctNx6MF90PA2PgmVMYpBOp7hPbVWYZAftPoquWZtXinev5sJkKgMZLO 2SoTgp+HRPdHCYdgnkNG1WFLCOwq6pXPrZLQvn2EQ3OShI8jZfknhkjgemO2 YtRBwmLNnsWbNBL+NtiTUopJkK+Iy3mbQsLMlgPHBMNJ2KLZoux4j4S4Cc7Y TkcSFlhalI9ZkcC+rkW4Wo8EFtbV/SqqJDBvszfrlSNBgmtvnJs4CU8HbHv3 bCUh0s+OaXg9CT8UQngL54KhdlRlxedrMJTZNufbvA3GAxXyFoOmYOjbewnq VQdDUTjlpUleME7Q3vy5nhCMZyaby8JJwWgJNut75hkMF5UBq8XrwcjJaCAI yzXuiYVthF4wXFVYm2ZUg9F5R9HggnwwUgadGHp3BcNqUI9mwhuMNwn+98dZ gqFZ06PktxQEOiPXoNREEGz4d134OBCExQusRSkdQVh60EG3qwvCL83IQJXy IEwbBC2LZwahbmh2I1dMEGYNJHI2BQZB/U5QM4dHEFRyyFaiDkFg5WywVrYI gq9wzfNLekEQ6RS6FaMWhF0DGdd6DgVhPw9PgpBEEAw2ay847whCbN+em2/Y gnByTxaT8mog7rK0ppRNByJmKP/wweFAvBd1ePasNxDmVNV9Bs2BWLfphtP8 07V7ieN+1KJAZBaJmZqkBSL2qPvojshAxCs3C40+DETTSuJc7Z1AbA0kW6bY B2IwQ08/2CIQtT3RDffPBuKZimSuj3ogrjYM/QpRDERLb0p8+r41/QBzynOh QFh78Hf+4AyEwd9vJ8SYAnGh4Pu05e8AfPh4kp77PQD7lU/k/hkMgAqjFNXk TQD+hZ1JpTcEYNdrwbgD1QEYXNnoU1AQgB6tuDMHUgOwdObCEi0iAE+oizeN /QPW9nO+qiX3AJzR8SjPuh6AYdLYRbOLAXjjfeQJv2EANEfPFQ9rBaCMZZ/i I+UAnCTRtCMOBIDlofCA264AVKpdHrHlC0Aiakws2QMwNWEoe5EhAI+b3Cwc 5vzRxu80cH/cH1KTCakpA/5wmLJKefnaHx7nFDvnG/yRVJoqKfvEH285JanO Rf5A2DXZZ1R/vA/c3MoV44++/15ccQz2h/mU9r9eb3+op9gHaNz0B5Pg6sKz K/74/viLOmHuj3m9DVdb9PzxyvKisbmGP4jg36yLSv5Q/NR3O0nGH/8D62oQ BA== "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.883720849774865*^9, 3.8837209042718687`*^9, {3.883721147029759*^9, 3.883721206057273*^9}, 3.88372200428364*^9, {3.883722130758728*^9, 3.883722161815539*^9}, 3.883810284796789*^9, 3.8838125900189657`*^9, { 3.883812751688027*^9, 3.883812775823365*^9}, 3.8838129122125807`*^9, { 3.883814393937422*^9, 3.883814417980858*^9}, 3.8838144827763453`*^9, 3.883815422969491*^9, 3.8838154838757772`*^9, 3.8847695351040497`*^9, 3.884770981625286*^9, 3.884771036181451*^9, 3.88477553993146*^9, 3.884779943163752*^9, {3.884780499717718*^9, 3.8847805075371227`*^9}, 3.884782509121031*^9, 3.8847833091445704`*^9, 3.884844593421431*^9, { 3.884844840639995*^9, 3.884844845532288*^9}}, CellLabel->"Out[71]=",ExpressionUUID->"f98fc3e0-6cee-402d-8d1b-4f309effcae4"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{65.49609330287632, -0.00006943723261011846}, { 67.58800283614919, 0.00010996179617448761`}, { 67.97310161050598, 0.0001229077092058894}}], LineBox[{{108.5747638904637, 0.0001229077092058894}, { 119.21320203105091`, 0.00004205723643971493}, { 134.51413478553678`, 0.0001229077092058894}}], LineBox[CompressedData[" 1:eJwBUQOu/CFib1JlAgAAADQAAAACAAAAdnpHgZzbYUBak9QuGRwgPz2Nu+iC G2NAlsf/eUuLGz94SfiV+E5lQHVF4oHI0w0/WwG5u/1cZ0DFeD7JHiMMP5CC M8ipYGlA1p4qhIpBCz9taNOXK5BrQM+7wPX6hgU/8kn33zyabUAwsS+CwP4B Px+QQOsj0G9Azk3JDZY2AD/Pz6Hu2P1wQJyrf7DQiPw+Y1Xlo+cAckDoLfUz vgz5PkuNuzrhGXNAPdx2AeRO9j4Hw9ONIiB0QLZWaH3RM/Q+F6t+wk48dUCF EwyfIxzyPtB3hmpOU3ZAW8UA7rdd8D5dQtDOlVd3QNMpdHnq+u0+Pr+sFMhx eEAspG3HvVjrPvI5yxZCeXlA5DMkkDgs6T5QmUaMj3t6QFh3XgI0S+c+AqtU 48eTe0B5Lxe8o3zlPoe6pPZHmXxA+ldSZ9z64z5gfIfrsrR9QGqw9ArQhOI+ 4yLHU/HKfkAw/G9edDzhPjnHSHh3zn9Aj94lJusn4D7xji4/9HOAQLjZTPCl MN4+MLlZoFD3gEBBRM+KiWTcPsRVM7sWeIFAMGzAGEXI2j6CS9ZG0gOCQJva VnZWL9k+KkCasDGGgkAfeP5N59HXPvyNJ4uGE4NAVxfhu0B21j632tVDf5eD QBJamQbIS9U+x5kytuEYhEC5NZEHKD3UPgGyWJk5pYRAxDfaysYt0z4lyZ9a NSiFQN0hcO1HQ9I+czmwjCa2hUATOAZqo1fRPhYcb3iBQYZAnDCn1zOB0D6i /U5CgMOGQJIcF2q+jc8+WDj4fHRQh0AGWwD52RTOPvhxwpUM1IdA8b5WoEvM zD7tHTtoDlWIQLerzeIwnss+DCN9qwXhiEAgt2N69GrKPhUn4MygY4lA8ii8 bPldyT5IhAxfMfGJQEdB5iwnTMg+z1Pnqit8ikCxiltG10/HPkAi49TJ/YpA prho7Rpyxj7bSahvXYqLQA08raFOj8U+YHCO6JQNjEDZu8DBgsfEPg/wPdLB m4xA9mkC7gf7wz4T4pt1WCeNQM5x0aWHPcM+AdMa95KpjUCQliqPEpbCPhkd Y+nCNo5AbFd10/3pwT4bZsy5lrqOQCAqM8mbUcE+7GUf9/8/j0BSz5CT/77A Pt5GlN8= "]], LineBox[{{47.19734363517302, 0.0001229077092058894}, { 47.77875343478326, -0.00006943723261011846}}]}, Annotation[#, "Charting`Private`Tag$852823#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.00006943723261011846, 0.0001229077092058894}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{65.49609330287632, -0.00006943723261011846}, { 67.58800283614919, 0.00010996179617448761`}, { 67.97310161050598, 0.0001229077092058894}}], LineBox[{{108.5747638904637, 0.0001229077092058894}, { 119.21320203105091`, 0.00004205723643971493}, { 134.51413478553678`, 0.0001229077092058894}}], LineBox[CompressedData[" 1:eJwBUQOu/CFib1JlAgAAADQAAAACAAAAdnpHgZzbYUBak9QuGRwgPz2Nu+iC G2NAlsf/eUuLGz94SfiV+E5lQHVF4oHI0w0/WwG5u/1cZ0DFeD7JHiMMP5CC M8ipYGlA1p4qhIpBCz9taNOXK5BrQM+7wPX6hgU/8kn33zyabUAwsS+CwP4B Px+QQOsj0G9Azk3JDZY2AD/Pz6Hu2P1wQJyrf7DQiPw+Y1Xlo+cAckDoLfUz vgz5PkuNuzrhGXNAPdx2AeRO9j4Hw9ONIiB0QLZWaH3RM/Q+F6t+wk48dUCF EwyfIxzyPtB3hmpOU3ZAW8UA7rdd8D5dQtDOlVd3QNMpdHnq+u0+Pr+sFMhx eEAspG3HvVjrPvI5yxZCeXlA5DMkkDgs6T5QmUaMj3t6QFh3XgI0S+c+AqtU 48eTe0B5Lxe8o3zlPoe6pPZHmXxA+ldSZ9z64z5gfIfrsrR9QGqw9ArQhOI+ 4yLHU/HKfkAw/G9edDzhPjnHSHh3zn9Aj94lJusn4D7xji4/9HOAQLjZTPCl MN4+MLlZoFD3gEBBRM+KiWTcPsRVM7sWeIFAMGzAGEXI2j6CS9ZG0gOCQJva VnZWL9k+KkCasDGGgkAfeP5N59HXPvyNJ4uGE4NAVxfhu0B21j632tVDf5eD QBJamQbIS9U+x5kytuEYhEC5NZEHKD3UPgGyWJk5pYRAxDfaysYt0z4lyZ9a NSiFQN0hcO1HQ9I+czmwjCa2hUATOAZqo1fRPhYcb3iBQYZAnDCn1zOB0D6i /U5CgMOGQJIcF2q+jc8+WDj4fHRQh0AGWwD52RTOPvhxwpUM1IdA8b5WoEvM zD7tHTtoDlWIQLerzeIwnss+DCN9qwXhiEAgt2N69GrKPhUn4MygY4lA8ii8 bPldyT5IhAxfMfGJQEdB5iwnTMg+z1Pnqit8ikCxiltG10/HPkAi49TJ/YpA prho7Rpyxj7bSahvXYqLQA08raFOj8U+YHCO6JQNjEDZu8DBgsfEPg/wPdLB m4xA9mkC7gf7wz4T4pt1WCeNQM5x0aWHPcM+AdMa95KpjUCQliqPEpbCPhkd Y+nCNo5AbFd10/3pwT4bZsy5lrqOQCAqM8mbUcE+7GUf9/8/j0BSz5CT/77A Pt5GlN8= "]], LineBox[{{47.19734363517302, 0.0001229077092058894}, { 47.77875343478326, -0.00006943723261011846}}]}, Annotation[#, "Charting`Private`Tag$852823#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.00006943723261011846, 0.0001229077092058894}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNlGc0FnwYxm3pwZskI0KSFikz4/pnpVIRKkmJREKLZCSUzDKSEEkZhXZS Wnjw2PuxR/beW8jbp+v87vM717k/3OcWt7xieIGRgYGhn5mBYc9Wm8tNrC+I hFzL1NLkc+KX9vvHu5rnhN9w/ODWV8/J0I20vPdXn5Nt1MM6L6WfE0d3/r5b v+PJebWMt+m+8SS4RHZ/p0Q8yS9SkDx25RmpLuExuHovjtiVNmnEBD0lTB0G 383vxpJWv3Qrs8sx5CnH7jXqR58Qs5XU0YzN0eRTPSfVZyqSFI0xCZz/8ZgI dL6P5PSOIFnWF+wVtR6RFOvUuvss4eT79IHhd7Qw0inEEiIbFErsdZ9rbHgZ TNoTsmctNe+TaaZs89+DAeTkqnoJtgQ/En9kQELA4R5x4npctlHvLpnQWLNm EN6ke1quQ+TRbfLT/opHWbMbGRMQzBQ5eZM0mF5Ur2Z3Ilz73tvuHbtK2uhc xmeF7Yl8ae8tjWJrcsb0/rdN/RbkkwiP1e1BUzL08yZNut2QcPDWFfWd0iUf el9PZOxUIJGX/baRxclfhfwLcmle8lmh0a/1vZ00s5rSVO4Y6R7MspP3+c5d djSLxejqtNeDY1kDq9VHEiWMsgSyDx44JG+clfvLy36q2Djr9j0jkz1Txlnm T6asg78aZ12wnaTbbTHOmnrzSmpG1yjLjn40nG2rYVZSiI3ThiqDrJCppAz3 J0eztN+/XTOhp5d1e1GYKaJQN4vPZ7pURVw7K6Dre4jbhX1ZTw59az2suzdr qvbqc5+q3Vl232WHVhgls6TEfbr7jShZG3MUru9YWU2yVf+0qjyVIHHnbYt1 U3aR4+npQuY2CiR05/kT/rdVSPvNORrXOkJWjSrFzodpEBa2L2vXntAiK1t3 NMrWaRPIZz5g5t1PZoUr7s9w6ZI9ZRNEqEiXhE/cGhbQPUCqj396wR90gFw3 OJbxMuoA0VQtsPjgeIAEuufNWogdILtYVKQFE3SJrT8HTBh0ieSm910f1PYT 7eOVnt/NdMgTiprzipU2Mf74smj8lBYpCO1hbCeaRC/I03xCSIP0Um5mbm0j xHBKZmLeU53k10kGKm5SJXFC184qlSiTpLmAgR9eiiSOlfP6mK48YTFQP3Za cg8JbfLkGBeWJebMf8+zWO0k26y0eKLLtxJt9orsIQ9Jsk80hrrjxibidkSE PmYvStpEmza13BMiKQJfQl0U1pNzbPhs7baWqDLmuNsmcJNmpQgWzsscRL/m 3qLLQVbC0fLmoM5WJiLoO3rOeHYFnFKGDO8sl9GsbPXY79oSPp+Lfz+1tASn Kz4m+a1/oR166gllloHMnPjZ0bfCREyUjjg+cGElWgnhYfaHV5E3P8bX3LlI IfppIzw+37jJzuLtYT4CPOTLf9Ed9Na1hKV/WDY4aR2R5X44nnRxPZEweXU5 XUyAaD4pGftTIEgKOs9Z2pzaQA5K6pRHVAqTwDchqRXbNhIVH3ltDktRcq/0 8YfLqmLEbuPLt1qfxIiHpG3XCL84cXzvOy9qK04Wn76Xq0wWJxJK44flqsSJ 4MvqkvR+cZLiuo1raUScBKfL9VV2iBNXoWfyO/LFSY9VweZN0eLErXzGu/+s OPlbvjRJ+9dX8eSu/fp8MeKyJ7lN5aIY2cE1vC2OSYwshfUXndghSgaxa+aR zkYykmR85OsJEWKdsZxmbyFMovY/b9S4uIHsSHw3mOQgRE4kDju0OwqS0eJL l7g9BMhF45PbRIP4Sd7gz/yqZ+tJ7blot08/+EiU2GjSxq51pNtKz1ll3Tqy 8HxAcdGAl1Cy3khLPFlL7j+OX9Ya5yEI6vXMNuIhyQkTLBV5a8ilGN8xd601 5JznFcVTz/4jzhdOMuhUc5Ouzp+cyxu5iY/f2ll/Hy4iVlup+JORixz/QTum GcFJrJjuzsaoc5LgoPVcsgsUUha5+fERGoVoyW8+KpdAIdeKUljWB1NIw6eg J1vuUYiiwceYSF8KEXloZvci9B9vDFsMek4hrhlGq1O+UEjaI+YOiyoKMahd ClcYoZAl7z3UHxycxLxjujZNkpPMJDoX0QknGTbsuL71JCcp7Og2+3KJk/xh ebn7oysnEZgu+WV7l5Ps9mN5ctSPk7ybF7487sNJxPfPzC+5cxLTvYK5sOck zgIt0THHOclY0DB9rTInCTA/dPU7Lyf5dvs8M7WfQrC986n1v30OK1k//ONJ IVxPGZTaNCnEcWPdi9sMFPJqoOyKUeZqMk5J9m1xWE2u98stPtu4mrztXlqW KuUgaw9/7mO4yUGi1cItv4hykKEtuel1tFXEfO61TJ/9KnJjWCTLfu0qIixW +7bnCzsZZbfwKTrDTrZtTF/jz8JO4lVPJvq/ZiOmKyn2206wkV2BCvO/GNnI adP09vB3rITfd0N0vzkr8T2YfGZqLSsJyUzUai9kIXoR0dZV3izES5FD9rc6 C9nrovZFYJmZzF6VVPTJYiZ3S/xDRe8xk/gn9wfbjzCTT6DrfRFkJn1h5oeD +pnIbkvXQvKNiUTeEIn+GMxE9qmeO/rzAhOJZgsYUCBMROfOt0djQkxkXkTu xPd5RlLVav7zYgMjST0l40/LZCR/1EASYv/NvWgFZV6M5I2B4iCfNSOpdSwt PXyYkTB+CLPQkWMkUpcNC+hCjITByuJpNRMjWVQVOCQ4xEAYV8vJ+9YwkGbv A2ML3xlI+mnqaZNEBrL3Sv03//sM5OpdiS83nBiIUWSIJZcZA+EOM9iuocXw 7x6rcli3M5BFF3tWozUMJHfwTZru8AqcNlxvGspYgevE+zPhXisQ3BbdrXXw X0oeeczOs4K1FwZihuv/4vrQcjJL3F+wl29ytjr/Fzc2Kp+S2PoXMZa0DNPh ZbhdrA+XfL+M3VOeovGOyxga263Vp7iMe+plygJ/lvC4SlPK4OcSGKrcaWle Szgvv46iq72EGZuTTWqrlhAoXEZLLl1Exut7tbFhi6DvUT6scHIRn9i3+fuI LIJt6nNrbPcfvBM+6hX8+g9u1ftet7nxB5+LhzzkyB/IVAvsWeL4AxbZuMHC 2gVMWW9ujnuxAENhNXHvqwsIqSfNV8kCCv5L0XL4bwHDZUqVju3zsBjRM/b6 OI8D3yslH9ybhya3qHb4qXmkrMArUGYeS1/nk2xZ5tFyfUfSluY5JFoMfsv4 OIeDvf3R3EFzSAspCttkNYdAw9H0XvU5dPk6Lh0VmMPM29WX9KdmsffeDamW 8llwwyFhIHUWPnJlafZ+s9gk2uVjajWLjOCq5Vcas3hsuOh9VHQWdykuUprL MwhuevLNvXkGILG0qcwZTDzwjEmImoH7qOGxezdnEBY5Whh+YgbJv81SixVm wF8vYLGFbwaDl4zXJ05P43GQa4oGfRos9ze8XP40jeXhYNSHTyOF56xiueM0 3jNU/e40mkah2U+O9fLTIPuqJy+um8bD+DDV1ukpDDhuaXCqnYLCvBbTnowp zJgp7eCPnAJnwrHRLS5TSBwvYbY6NYXAQm35KpUpFNLGD18TngI1NGKd7t9J cJVYaBxvn0Qox4crcdRJBPbTBCWTJjHa4R865DeJ7gWVmalLkyhfvU9+39FJ ODs3M1TvnsQB8bGqVL5JZPO8/V2yMAGB9L2bFNsmgByRY4PUCXQvxnb1v5zA R/8snj0PJiB4dm1d/vUJfL/MNp5gMoH7Lq29JZiAG9NaLnXJCTz4LeUzS5mA d2L1vrnJcYj+MP8PTeO4om0YVZQzDhlX0QtRKeOw017sfhU2DmaXpGsLruPg 2rfN2N9yHKN3vIuM9MbhIrye3VR+HC1b2Um0yDjcu9QS/2MfB/+QTYtzxxh6 S/5+Vfg8hkmrGUeTgDGM/tTPaj4zhmo5h8s/9oxh/uoFtzn2MYwzfWINbB1F adBO82ufRvEqTp8lLWAUiYKdL+TPjcLXa1yQU2kUuhq73XZxj6JVso71ac8I THbW7TL6OYLZv9+eGESM4Fn98vpHDiOgKTM8F94/gsZNb84ObBwBz8uK2IW5 Ydi+2lF6uGoYo74XbnemDuO2cL7lN59h0FnbNelnhxH0VXFl195hCGlWBJXx DkOjun749egQRG6aypUXDUEudLXb7qR/+Uaus85rCKYRlaG/zIYQc7wyrV95 CG9Vg08e5xuCHdUrnWVyEBF3N7XOlg/CxYq/e8frQWw2C6lOCBgEg0Vf8lmb QRQc9Dcy0xlE/jemX7ESg1h6aP1LlGkQrR9rNva0DyDOVSNmOGsAH+tdOxSe DUDtpnZY9u0BXJL+pXb/7AAaIhouRmEABc+WH3RvHAD3i2qBqyv9UHddb6fS 3o/IfY9bNHP60Scr/8P/RT+qtZYMKD79+HlTs7noQj86H9IicnX7QX3emDG3 rR8zEd7XLnD2wzMhcpYy1ofvVm03Bqv6oL/MKcrwuQ+mBaWbDkf1odD75acy 9z64inWz+Zj34XmjwfHLWn1g0V5oDpLqw+5XBS3NlD7kUnienRnvRZFT15U1 tb04frr/xVRmL6QEhR+yPesFqT4Yd8CnFxSuzbsybXsRrmn86aR+LwwPuMRL KPSCrZTbUXhDLzx2Gr/VYOzFEUGelod9Pah3Nrv/X3kPvrMbHv+S3gNVx6zq gJgehO4qSvK904MHff5Ob2x74NiSPLBs0IOF3LFPN5V74HG//56QWA9EL1jw 9bL34LUBx4amsW48vMJsOFvfjQXPEy4q2d045LFyKPlVN8osnwfuDevGtgLn hSnXbljIe5jUWnZDUzXNtlWvGy9N/o5SFLoRO6Kaem5jN2j5mWbN7N2o3C9T 4D7RhQVt/xSN5i50XSyn7szvQuBqtiq1d11YLSsedi26CyM3p34V3+3CuLc0 34HLXVBzOntkwKQLrNsXRd9qdWHC75L2Y5kuaDutv/ZcsAsSY16nK1i64PLR 7KvoeCfEG1+pPmzuhO98edSWgk50bcq90/KxExX6kq8/xXVCO+F8QVpgJxg2 tPrmOXdCUJrl6bJlJ8QGvX6c0O+EOzGMqlDtRNvKSJfN1k5ctTA3EuXrxMdX 52NmGDuxptDn2uBoB/K+776/3NwBey/6C5miDize6XHwyOiA2PWl5IGEDizY t61yDOtAsV+AvqBnBxRT1ZVb7DuwoeWO93fTDpzjkB7KONCBnZZnFMsVO2B7 zVuSUbIDspwGt/R5//Xp5q18ZezAvefrndXH2+F2Kz25pa0dn5UVTR+XtYOD wdj00o92VAQ0XjNJa0c5Y7T9uSftCFc/w38noB0dt5rJT5d2tDQkpvNcbEdp ML+O58l2WJkY5LDqtkN7ZMOfRMV2pDb0Z5ttaYdpXmbfzvX/eo4KaPCxtWN8 A8++HcO/0Rf/593p0t/IOvPE9fvr3+hZMdA59OA3dtuJ/WC//Bs6Z2L8po7+ xqulumNcsr/Ba34235jnN1wWpB4UTbbBeva+sR29De62mgV7M9oQqWEcJh/V htIpcfPTbm14nmHW+sasDY6K7Jk7SBt2vHV+Rhdvw/s9x/GKpQ3y65K0kvta sUjyz5QXt6LQ2llV7G0rJpvbg2LCWiG99OQvudGKpJl3WlynWmHUk0xhVm9F ydpAdnHxVrTIjfZbs7Zib9qCBX2gBc2+dpK25S24c+RF7+ZPLdh+8cUp9qgW PBAVllvj0YJ5qWtbiWULZCIyx8J1W1CrWUi4pVvwJF6m8s3aFhyik1PX55vB S3gfnW5rRq6+r4ptXjPup6uzx6Q2Q70/6fN4aDO8haYYL91sRqm3WArb2Wb8 FRi7SNNuRl5V18qrHc0YOqgj/XZtM6JXCX6oXWiCr6HYYdGOJoTE07MCC5tg l3e+nP99E/iK0lRokU2oiFQsjPBsguJNBVVfmyacPX/LJFK/CTdOePQUKjUh 2F/rlZBYEx6+vWxzf9U/1pUZFJlohOGK2nx5YyOEpVtOPaM2Ism9oj44rREi 6SaqTx814nqB3NFij0bksoU38dk0Iu/RhjRPg0bEi3QGsqs0Io5qo/NGohGC RpHJV7kawZhLdTs21wCbtvhg/Y4G3NDSe3eppAFST9VSX3xugDWP/pG5Zw3I m/tmfTGwAcuZfPkzTg3YNW6g9My8AXJpmfetDjUgt3/ukY5CAzJkucU0xRqQ fPzU31OUBvQZhDI8mK2HolreXFNHPebNzn3WKqtHkOZ2SsHXfzyuUWKVWA+5 tZsKhUPrIS8TTx91r4dhx3Buk009Wnke2bYb1ePpRo/oFVKPS6xDUso763HT 89ZAgEA9pDl3fppmqUf4pL6py0QdXKSfpK9rq0PpAYGoouI6ULbJNT/+Uofk 7LfGtxL/5aeUZtewOgj0xOqG3K6Dypjp1R92deAP/U+G8VQdIv/g1Jn9ddgt lF9cKVcH62L66dPidbgzM9uzxF0H4Q8cWp+XarFZmxzxGazFLkmR37YNtWCY dqu5QKvFJWtvVpf0WvzamWIQ/6IWvk2ZoW2htfiWU/h8j2ctvGuVzsU61GLO N/3VBrNanE9UNHl/qBbP1Ff0TPfWoiMg0kJway1uV1U4j6yvBZ/lL9s61lqk 3v0lQJ+mo9n1imVvFx3Xgj5JctXQIb72ncYBKh2FjwoiIj/QsX7wBeNiPB2e F7ZcuB5KhzCXc/yyJx1OTVPhsVfocGAmYvrmdKgfkdvCp0+H4qV+31HQsdbs g0SzDB0h3RvamjbSIT83FjnCTYeO8i453pUadHqte6g3VoMCa97Ix79rMFRa v3m6oga73HQ2WmXXIPXtTeve9zW4m5/d7va8Bm5VKVfFH9ZgXGNyofFODSoD Q84lOtbAnfba38uqBgmWqScuH6+BUZHIO4f9NdjEXuV8W6kG3K7Uh/FbayBw fXN/jWANvnSamQlQauDJylrrsFSNbyv9SvSRamj7s9vp/a5GaFCYcU1lNTqL B5rsqNWIuZ3YvS69Gk6TviblSdXQkPATiYqshq1JidD1gGp8+pWiZOZeDd6V l6dPOFSDUut2+Zx5NfYlspq4HavGBk5ThkStaki6f9FvVaiGDjVQZsvWalxK crh3W6gaLy5vUe/lrMZ+z5c4s1KFR+3cjl0TVVioT8p16a6Co3O7oEh9Fa7K nDGvLKoC5WK3x8MfVRjkuWh+/l0VRlSZRzVfVKHo9QLv7ogqWLt8+S7tX4Xu +MoKZfcq/EphUDW8/M9X3d7valEFztwT1HfGVdjKlZE+pVsFh/GnqTqqVUgY DQhJkqlCUpOQPu+mKkzdXV8bzFcF3TM2XAIcVeCXEe5+u1SJ1O82Okbjlbjl Fi/C2l0JcY19p/LqKxG60NUdWlKJpZN6by5lVUIr2OTZsU+V+MGy5pXOy0o8 441K3x9TiUs/lD8ah1Si1up08JW7lVgOD1SMvFmJt2+vRZXYVWLyc8tzznOV GGD9us/UuBLP+dacTz9QCQElnjkh9UqcNGEferC7Ekr5Z6S5tlTiwkDc6yih SgSscTop+18lTKSThOnMlQjevbuOfaICZu+Tzns2VYD/13AWd14Frrz0Lfr8 pgKxKTLmTpEVMHJuMj/kXYGCvMxUJbsKiJUriKodr0By33jsSVKBkyw05sBt FegghXI1vBXIsdPkkvtbDpVnGVdT+suR/aUVijXlcJxNNmn8WY7H3krPHr4q h9/swJRFeDnSF48o694uh2WJ1FFN23J40q7wGxmXg2mVobMrKQfPlPSRz9vL 4V8YcZtt/T9P9eiIPWM5hpmP3uofLoOUy09u14Yy7Beb9duYV4ZjBndKGt6V gZcq/PNlTBn0pN/vC/IrA1/PCZW7jmWQdDQNDjEvg5iinPh7vTIcZ/Cv71Yq g8MX6cfSm8uwY3aLZuCaf/w6IfvPUinsChnmbg+UYraqoHh9XSlGI9+KU6ml 6Kt53OH1rhRt5Q/GDWNLYb62VF45oBRKHJ8fyTqXYtebulnV86VIVBjQMDUo hXhWuVmQeimClx/KVGwvRVr/pThJgVLcvZgeHsxaikiO2RmOqRKMv217Hdle gghVnXil8hL4HNn6deB7CT4Pvml5k1KC+L0Ss3cjS+C6Z2nY7l4JDI1rUi44 luDvaVu+axYlGFtIFAjWL0G+78PYH+ol0Mg6H7i0owT7bl4pOSJUgiMndh98 v6oEIiEHRyTmihEXeev5q55iXOz9qA96MWTT5ju6qcW4FuChGfuhGF4nHp22 ii9GQc1HfvWQYkTZX7PYcrsYdyYDJcQciiFm1nJgu1kxQu5Y/dDWKwb5rWV7 RaUYQ0d/qKRuK8arElnhGYFicMlJLuivKsY9Jvz8NlcEIrTPWKGvCO1ea1Kz 6opAFU9PPUUrwsdH+prMGUXgbN1y5kdSEVp2Pe3ziSjC1y/y5Wb3itBqFrys daMIhndsLVUuFOFiXcIAOV6Ea+v2ehnrFIFSoMnrolAEEcH5kFTJIthEv+ka 4iuCyQp9UZWtCMELS/lPZgvhNl+5a1VfIeLGBaR86gthLZMZzV1YCEvhjzde fi0EJ5dYytGUQjBxqm5ieVKI9uQTFQWBhXj9vSMu2r0Qm3WsPV3tC8G6NcDc 5kwhfrKtljl/tBBX2HMb7Ukh2NNeHfORLcT9qCKfFPFCjFw+atmythBOj1wb hVkKkcv+svHSTAE+7zlsSOstQHDm3J5dDQUIOHLMLqmoAHfuCA5t/V6Aj7Hb XmS+LsCStaPXybgCZLAwOjOFFsClaPr6N+8C3GAPsPF0LEBL73/axy4UQA9T 87tOFkDrXLrzhoMFsJgfesOrWoDytoMhAtIF0B56RNkuWoDI8lTeAzwF6Bz2 jLrOXIBpadGglBkaPBpSWob7aNjmcPK2WhMNjDdvWESV0uDpYHOTIYuG+J1c cU4faHDxCuyfTqDhb7bZKe/HNIxm7E4VDKBBftN/vT/dadj/teGvw2UaSlb7 9W6zoKH7vFTIhBENlLjmwbz9NHAxNg0l7KXBXNzBJ3gnDe2fp5J9RGkodmnX 8V1LQyjzN6NwVhqM04Ry0+bzEXb2vW/FUD567qiF/W3Lh151eK1ydT6sVeL2 387Ph0nmifryr/nYoV7itv11Pj7eFd4c9iwfwgseNKbwfDyIUDju6ZsPmeyY XDa3fGRIb2CNdsjHiV+yXIoW//zzdhWtxvlgW7QjoQfyobOnx+CIWj78LsXM rZPNR3CElVSfRD4KNmyl5/LnI/9r20QqJR/15x86xa7kIXrXWYOoqTw4bLvs GteXhyLNla63zXnYsNvcp6giD+v1h4+O5ubh7R0+ZZGveXCTMJU/8ToPqxoO KkfH54HD20e591EeQgS/bVMPyAP1aSpDnEceHg5Lflx1PQ82HyhyHtZ5ENDV c1k0zYNeTJfzXf08xAl0SfBp54Er0MbpvXIeJleenjkunQfeTCqdeVMe/NjF K76vz8NeJV5ND0oeft5gkjjAkAfpr9Y2wjO5mE6ksfwZyEXbzS/j7W25CB1q EauqycVx8YHA4sJcFAfEbi77mfvvNeR3NXzMhUKKxq+Rl7nYMfUnhfI0F7gw GLvnYS6+PVr/wNIvF0LN4VdjbuWiXM1HvfVaLqoN+AelbHKxUzbQ3t0sF8Gn pL7XH8vF69j9pWq6udBffeRxqlouXtBf/ye+Jxc1Gj0y8VK5yAi5MyglkouK AZG9X9fmQkXnDM+xVbkwODFlO7lMxWG3Z3tjp6hoeip98+gAFeXSzoIcv6nw YDzLX0qn4phOnU1kMRVSF1oY7bKpSF9xbdmfQUVOYd7o9tdUjN9q28X/gopv JdOPKVFUyGlrbFgVTMUFDY50Th8qqhqemgi6UaFLO80gc5X6b++0F4esqdCx YlC6YkaF0Jam9BhDKrar5fJWHqCi+cExPU5CxSWVLUYGClRE+o1sit1Bxeeq sx/HxKmodFRbOCRARcYvo7E33FRsa791X4CVioH6J4WBizlQPxsTwzKZA7tm 5+V7/Tm4ayzby/07B2NGtUee1eYgtctjp1JpDtbdOOxWR82BWZXDLo/MHHRR BLV3vM+BxfWQ9+3JOWhxFnZ4+jQHX5L5rls8ykFkVNOXnUE5uNNIV1zxzsGe zpt9DS450GDRoGZeycEDsy9Zz63/+dl2DaFnckBLn2fxM87BBxMm+OjlwPOU 4i1/zX9+t97X8L05uBrBPJQkmwP7S1JcWVI5iP4cyP97Yw6uUVYzs63PQaly UKEcVw52yS6fu8iSg7aVk/kJi9nYlx072jOZjQMBtbUyg9lYOsfndLsjG067 XKj0hmxopG/6trsyG1evaxpHFGRD9RVX4MqvbPwPxn9f1Q== "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.883720849774865*^9, 3.8837209042718687`*^9, {3.883721147029759*^9, 3.883721206057273*^9}, 3.88372200428364*^9, {3.883722130758728*^9, 3.883722161815539*^9}, 3.883810284796789*^9, 3.8838125900189657`*^9, { 3.883812751688027*^9, 3.883812775823365*^9}, 3.8838129122125807`*^9, { 3.883814393937422*^9, 3.883814417980858*^9}, 3.8838144827763453`*^9, 3.883815422969491*^9, 3.8838154838757772`*^9, 3.8847695351040497`*^9, 3.884770981625286*^9, 3.884771036181451*^9, 3.88477553993146*^9, 3.884779943163752*^9, {3.884780499717718*^9, 3.8847805075371227`*^9}, 3.884782509121031*^9, 3.8847833091445704`*^9, 3.884844593421431*^9, { 3.884844840639995*^9, 3.884844845578847*^9}}, CellLabel->"Out[72]=",ExpressionUUID->"65bfed5e-1669-4a32-b452-d77b64066c1c"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{50.120840949365984`, 0.013166567853342812`}, { 51.42607082444942, -0.00296916685367661}, { 53.30761859360051, -0.01275309051724601}}], LineBox[{{155.1882644074061, 0.013166567853342812`}, { 170.46784494870712`, -0.007681151479441772}, { 178.09898397558794`, -0.01275309051724601}}], LineBox[CompressedData[" 1:eJwBEQPu/CFib1JlAgAAADAAAAACAAAAT1HgZUPPaUCrVY7VSh6Kv21o05cr kGtAwpfwVRrDZb/ySfffPJptQFqVDqtnRYA/H5BA6yPQb0AjAt2dyeKGP8/P oe7Y/XBAuuMep2iReD9jVeWj5wByQDzhMk+hEFq/S427OuEZc0AaowPdJn18 vwfD040iIHRAdaAwvkg3e78Xq37CTjx1QCwJ6wUgyF6/0HeGak5TdkBQE5k1 X69qP11C0M6VV3dAutJ+/RGLdT8+v6wUyHF4QFXHaNb9tGw/8jnLFkJ5eUBq sbh4V8Ykv1CZRoyPe3pAXVty56u7ab8Cq1Tjx5N7QF83cLmSxW6/h7qk9keZ fEDjZgcURHpev2B8h+uytH1AFqe0sXi2Uj/jIsdT8cp+QMqDyVMlymc/OcdI eHfOf0D5HhA+XLZkP/GOLj/0c4BAdiRR+EHrPj8wuVmgUPeAQFAtescDaVm/ xFUzuxZ4gUDdSIhI9XNjv4JL1kbSA4JARXNhITSaWb8qQJqwMYaCQAwuK1ta OSA//I0ni4YTg0AMyPhiiMVaP7fa1UN/l4NAMxt3qs85Xj/HmTK24RiEQAA3 LgE9WE0/AbJYmTmlhECbIY6a+z5EvyXJn1o1KIVA66GibDvKWL9zObCMJraF QLRLGAG+q1W/FhxveIFBhkCVuKnR14ssv6L9TkKAw4ZAbprwoEurTD9YOPh8 dFCHQNOl73HuzVU/+HHClQzUh0DLEkMKiOpLP+0dO2gOVYhAX0DW8vOUG78M I32rBeGIQKOEcO3Mn0+/FSfgzKBjiUAYDQlJ4e9Rv0iEDF8x8YlA9sLYGKtq Pr/PU+eqK3yKQIrgE/APgjw/QCLj1Mn9ikDXR35kKulOP9tJqG9diotAYob9 Z3MRSj9gcI7olA2MQJ3MzdVX3iI/D/A90sGbjEDMpzQIXIhDvxPim3VYJ41A yeSN4CWuS78B0xr3kqmNQFLk8KCs7UC/GR1j6cI2jkC7palpypIlPxtmzLmW uo5ASVEEwRuMRT/sZR/3/z+PQL3e+KNxyUY/3RhxeQ== "]], LineBox[{{102.19024723745444`, -0.01275309051724601}, { 112.72891228177318`, 0.013166567853342812`}}]}, Annotation[#, "Charting`Private`Tag$852884#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.01275309051724601, 0.013166567853342812`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{50.120840949365984`, 0.013166567853342812`}, { 51.42607082444942, -0.00296916685367661}, { 53.30761859360051, -0.01275309051724601}}], LineBox[{{155.1882644074061, 0.013166567853342812`}, { 170.46784494870712`, -0.007681151479441772}, { 178.09898397558794`, -0.01275309051724601}}], LineBox[CompressedData[" 1:eJwBEQPu/CFib1JlAgAAADAAAAACAAAAT1HgZUPPaUCrVY7VSh6Kv21o05cr kGtAwpfwVRrDZb/ySfffPJptQFqVDqtnRYA/H5BA6yPQb0AjAt2dyeKGP8/P oe7Y/XBAuuMep2iReD9jVeWj5wByQDzhMk+hEFq/S427OuEZc0AaowPdJn18 vwfD040iIHRAdaAwvkg3e78Xq37CTjx1QCwJ6wUgyF6/0HeGak5TdkBQE5k1 X69qP11C0M6VV3dAutJ+/RGLdT8+v6wUyHF4QFXHaNb9tGw/8jnLFkJ5eUBq sbh4V8Ykv1CZRoyPe3pAXVty56u7ab8Cq1Tjx5N7QF83cLmSxW6/h7qk9keZ fEDjZgcURHpev2B8h+uytH1AFqe0sXi2Uj/jIsdT8cp+QMqDyVMlymc/OcdI eHfOf0D5HhA+XLZkP/GOLj/0c4BAdiRR+EHrPj8wuVmgUPeAQFAtescDaVm/ xFUzuxZ4gUDdSIhI9XNjv4JL1kbSA4JARXNhITSaWb8qQJqwMYaCQAwuK1ta OSA//I0ni4YTg0AMyPhiiMVaP7fa1UN/l4NAMxt3qs85Xj/HmTK24RiEQAA3 LgE9WE0/AbJYmTmlhECbIY6a+z5EvyXJn1o1KIVA66GibDvKWL9zObCMJraF QLRLGAG+q1W/FhxveIFBhkCVuKnR14ssv6L9TkKAw4ZAbprwoEurTD9YOPh8 dFCHQNOl73HuzVU/+HHClQzUh0DLEkMKiOpLP+0dO2gOVYhAX0DW8vOUG78M I32rBeGIQKOEcO3Mn0+/FSfgzKBjiUAYDQlJ4e9Rv0iEDF8x8YlA9sLYGKtq Pr/PU+eqK3yKQIrgE/APgjw/QCLj1Mn9ikDXR35kKulOP9tJqG9diotAYob9 Z3MRSj9gcI7olA2MQJ3MzdVX3iI/D/A90sGbjEDMpzQIXIhDvxPim3VYJ41A yeSN4CWuS78B0xr3kqmNQFLk8KCs7UC/GR1j6cI2jkC7palpypIlPxtmzLmW uo5ASVEEwRuMRT/sZR/3/z+PQL3e+KNxyUY/3RhxeQ== "]], LineBox[{{102.19024723745444`, -0.01275309051724601}, { 112.72891228177318`, 0.013166567853342812`}}]}, Annotation[#, "Charting`Private`Tag$852884#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.01275309051724601, 0.013166567853342812`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNV3c0Fw4Qp7JVhKhIhIzIzj7b1+Zr7733puwdshVS9oxkR3FSKqkI0baK VD+SlUK//rr3Pu/eu7t397n7HIejH9GFlISE5Mt+EpIjqyfkv0XNQYZ7S0lA 0Bx41A9zkjvOwbEg0WtdmnNw7e3RsmL+OWiKuBk1dGAOaAapDjm/noWNO62X s6pnIZ1I6RHqPQtmjgL7CYKzILnXESr1ZQY+MEwaxF6fgUo5Ew1r3RmwG1Cb OPZjGkImt8obZafhhUVp+t+oj+CbS/mmpusDuJVefCm79B5yFvMPWDO8hz+D tTl1ku+Ar2Hed9DoLShoeLSYe72BDh3/Karo1zA+kMkUlzEFXq846lyvTkLb /EM+x9JX0BTVvHKsegJUYnu9RevHofb7i2u6jWMg6nE0kLr5JWyfnLI40DoK ukW/vKq9RuAtdd8HutDn8DzvJ51b4jCYWjkmdl8dAmb/mthDLY8hIzUu2v7l IAgtppdd334A1nc3oJZ/AAYI1BmGLv0Q2U0R/si4F3xtiNX8G91wzU14gbup EzZ0ODJ+RrXB/Ld9H2+534ZThaDY874BtPgF5OvZq6GRe8Nz73wpWLIf7Fuv zgfB9/HH6JiTQCuM5bmYsS6I9jQEhIfGYqeZX+Dap2y8t/XF7zF9EYo/oFpu tC/DY7YzjePblfjsL//+eONaVJeX/kYT0ICr5FOe83pNeKF/uOTJajMGpfEx tAq04JfI0bFxxVasuPB857lUG2ZZ3hY7z9iO7FnMHxvG2/EKSOCbsA7UVI9k jibtRK+0PXabgE5k/7RFo/6kE8mqaQ7RU3QhZ9mUww2hLiR+C7J8BV1YS/jp VSnbhRzS2r5/OLvwWRFz3MRmJ/bd3bLgu9OJ08ND7ltunbh3dIJWgaITyQ39 X+5e6cCmUbfW8ywdyMp7xv17ejt+qlq4e2KtDWdIP8w/0GtDrfVLizOlregr xE7rvdiCuj8pNK14WrDO5NLDMpvbWNszfduYtRl3BILlBwKa0CLKlJbYexO/ LVl86CdpQCqOR8UoX4cPVipu/wypweqGhx/fNFQh5+K1eKGPFfiKYfiUMX05 nqifCPRLv4HlusxdvtvFWMI+Ua7idxW/0Ew3eq/koX2p3QAhMhuj2172Cgqn YYbdSMG3Swl4OM6tIYvhAh7kn2fbfu6J9xN6KSQNRbCErsfGv8sF3EaLeoJc QoHH1qrJ9H4s+I3u/jnEnAxdk+TSpKLp0LCZmkBKmQ0HRs0nG8xygY5sx1I2 JR+SeFfcD1+5ApL3RLTLEgpBjTr6SoJ+MVisBwV7bl8D47noT6firkOFiNxa xsIN6EvJXZ9kLAPPtFMdutVlYLO0azHAVQ5f3QROmueVg3bMXp3sajlw007w 1ChUANOnp15vLlZAX9g7F4b6CpCY5cgfeVQBx2b5UOVVBVhfZ/ecnaiAHefR TMZ/OM/QLJXBPz9hqw2WgzEVIDVA/uapRgWM1xEGDx6ogOyOAUm79nII8Pzx SceiHJw8b7i5r5XBQVDqUU8ogw69vf4YqjIoSpQptTpYCms6Ai5vN68DQXwi uGu0BNTu/80VLrkGKrYKQ4mWxfCYOSNjjbYIhvm+Lt1tvwrLJJLdJ4yugCMx flJvKR/Gv4o4ZobnwYupQ5R0+3IhsSBPlywlG5jXBEck6DNh2PDguR+H02Gd 7tapSNpUaIkveHSIKgnWTGyXXlDEA+Vw4VwtUzQM3lOf0eQNh6Lh3lA/7UC4 7p1i1U/mAUU22nFbBCt42LqnKDEqBiO4ILX+2QBV5WwHxFmd0DwmJKfxog8y V5pPfRgMQnEtLqO0ynBM8iZ552AchX+32DdpvsUiT0fFJ3WGBDxE/cJ+iSMJ SY4eFDpyNAWb6iZEtpZTcfNSxutPN9OQqXTRRFEnAzmDX/snjlxGBR77diWJ LAxQ/muWrZCNsPH7id94NpbTWQvyWeSgU8c9+ZaRHJSPnBWnOJ+LTxiV8sWz cpEyPG1e53UunreG6z5H8lBB+CZ7r3weHggZSvCyzMMdCsu0Fvc8ZJ4KPXD3 n307I31n6x8ebtpAXwd5GKjq2M3FnId815P2r8/m4rtISUaxslxkuaS550/M xdwv49Kntv/FvXHr9p38HDzTfca4izsH81oftlxvzEZGPsuUVb5sZAoIbwqX y8JE+byfTIyZOG7D7fb2XQbOXunK/ZqfjpE+QVx+imnYQk91Mn86FUe275Ck BqXgR571nQu7Sdgfto/7RnQiZtYdr+T8FY/tzUZrUl5xyHOmRuVUawyuSJw7 0ZAUiYa9ofZORhGYkkkxWcgWiuPvOdsyFwLxw431+j17P9R83PBL7I87Ko0T hfeXOeI71eRQoVpzLLE29t9yI6DhW+rx8faXCtUfb4vlqBIgSKpdxGvTDCaK F76nPnCAd7WHLNHVDSL/0M6Vz3rD3rKEVw5LANz/5aMrVB8EbFZtznocoXD4 sTT5zZhwGMxezWV6cAHm0xMrwr5GQlz6m80X69FAel6Sv9g/FkxdFEu9zOLg 9EZYcYxQPOSJX5pN2ogHnweVINOYAPSct6KciYnwnvOQ0evFRNgiPacf4p0E U6mrd3lmkiDlpGTEvHIyaNG1v2zKT4bJl0aaea+Sgem/P48byVIg5lf3OCt3 CsiHSufTi6cA6RcKygeiKWCaXx3lfyIFbreHmjZvJ4N8Muli7pNk+PBmWCQi NRkY2ATankgnA8U7352V90lwbzhJ2yUwCag6vNhrfifCHHvzkGRoIjAH2u6W f06AaqtGq3DNBFhru7anXxEPTrP79j38EQelnZI0wRJxIG/YOLI/IBYqNu5L SBBiQLKhsXbwRhQwe88cYFi8CIePkTZc5LwA2+8KdRyI4RDHXkfJGx4K+WPa /hIFwSDMRXFjpSEQzBRltO71+IOp59Unf9N9oOYQrb10iQfckNAdma9zgY3V s4862h1A/dY+hu5EK6j2H29ZrzOCioTdpLxODShNHFllSxCG95ndeYcPnkXV MUEtwiF1pKv4ys3kRcSfAuY/V+ssUOyMiq+wrT3qOfN9Lhp1QqMUOd4OPjf0 OpwxUeTmibLBfsrhqT7ITZEtqKvmjzXzlwRFOwPQhC+gn/9oEBrVqhknOgfj 4VOxHsVlIZiw9OPZ5FAo5jN0Pm6ZDkMFOl211tlwPDYztOIzEoG/b6koX6q7 gNPFGTld3hcx56ABzd0Tkeh7/c5N545IrBp5wJcvHYWxRn5vz9dFobHDjzQd 0mj8+Iyf+EE1GnPpKiz2B0VjxLHTNz6nR2PQd4+6O1nRWGZErdAXHY15tQvU ahbRSO6doFLHHo2fP19S1B+LQk2SEYamgChUfSLJrLgXiYoXRkJywiPxVnZc s/jsRVwLbWd+LHURuUM19VdiLmAjp0GPdVcEyu97s/poOhwT9XRE/9sOw981 Nx8VkIehpCBPwGXyUDRYc31Z8zsYo56SDXXPB6GjV/zHioFAVCwWKVUuDMAE 4wSSKBd/lE6liw8w9cVDeufzeie8MJxd4GSbhgdWDY4s8ba4YnPQQcfNI86o Orzh+NPXAR9nfT/86bIN7h4t+pspbY6fV6aG4z4R8YnW75QSLm38cK9Aai1D EZezvTTHTvMii/Ryo0E8BwTcNZrfR5SHieoe9akhAtzvfRLrZGsIfPd6/d7I m4JdmlWXOYkVBB0dcKWstIPvRn98r9A7Qh1VVykjOIMVzbBzv7krXOX7RONt 4w5ESXruP9qecOvvIpXTaW+gOt9qdnPOB/q+RVgvp/pB4abn3cY0f3BOOdd+ RSUANNbsdKeXA+C/gsabMhmBoNjY98v1RBCYaNQGnC0JAivyel+bQ8FwTdvT eTIgGN6Uln+MehQM6R8Mg1VpQ6A0s7mDSyUEfl17xnDaKwQoqAQGdBNDoO6H Ze69zBDYMR4eyk4LgXOZv1bXw0IgQ46nktUsBFZzX2mq8oZA1XWBxdvfgsHt WdSz5vJgCE2UJ17RCgbOl1Fp9xeCIM/fYKUgNAhqwqQPxvwOhMCC33wrgYHQ WfFr0XYmAN5di1nQ+VdHrje/nXyJP6Qe8YwLmvKD7QiSrDJnX+C9epL3zL99 6MGdHSOu5wVWjlEzO40e8OPlzbGePTewnv0td0vVFS4E30o+EesMJ9tY7mi1 OsIHa7Frye/tgYfUr/s8iS1oBsVZ35azhGPkhyaOBJiCSZFfwHYpEXzkXi5u XtUFOdsZNF1Rg2wpjz3iFTloeHiD9st9fmDXyTcPDP/T9/lN6rZdvTCePD1K Qu0FOK/ip1O4rY40HUbytqx6uHg/XqUzg4iKfOIOCpsmKFtf7NtFsEARq+gO 7nhrTJui+VZRZof8U++vnTN0QG2hg8wvBxwx05fhtQuXM2bQ6Trwh7hgMB3p Gfd2VySdvLYQMuuGsiZR613/7spWlkJs2T5PDPlqMdK84YnhR3l9g//NNV8x n1n6DW+MPX+NrszIB3lrLPq913zwmAi7ZE+UL6aNCHy3++mLySq+eyqGfhhZ pMViVeyH90+csqh77ods1p3n5L/5oZhT31npNT8MMSt+NvTZDw+RVUrxP/jn f/UMSWW6HzJmuQ9dAj+kiRz/rTjti3wWQ9bnvXwxNVC+fXHeB9XKok1fa/rg GenYzuLr3vg27s+3p9Ne+DVyUPwwvRde/9Dlzyz6L++ozMISFQ/soWYTtld3 R+hTbheQdcOXLfvJRjld8fdf4Wdce87IzUg9S/HCCXvzleut8xzxOdmbMBp9 B7Tu4P9Kss8eXWydUiwtbTCvszWHotISlU40iq5Pm+Fd80nGwwwmWGXKtF9T gYiBCx8UzjzWw296OlL9VJpYzbO2IktQwUQB2e0FWlnMXL5o//HUOfwQllka kEaHj44ECcVMsMK9SsLjQD9R6DbNtxFMkgeNgpesVedV4TZL0uHgPE0IjBon bRnTgwwZvf7D24YQWslJYRBmDK+ZyMML50yB2E73M0zaAho5RqYvX7ACkeL7 22lVNhCrsfNHpNMO3vRonDk7ZQ+h98UM1gYdwPO9UM/3GkfIMD45WhbhBDYM A7YV8s7wSWl2MPOnM/zhEeE8VOgCI41f/cYFXSGxl6KmpM0Vst15noryucFq JOOuR6YblK5Sx3LMu4H90epWlTPuwMJURfXI0h26H+ft1UW5wwtNz19bWe6g vw2CQznuQPNEKUo+wR32xvZrxDq7Qw6nrcRjCXfw0SClIG65QZ/wur5nvRu4 HBOWcNJxg5XBXM6iGVeQuuB4McDVFWiPVKhZfnQBicjQ0SGCC1yLmjVRqHEG b2aWQvktJ3AX6r1gLOcE0ZzahUdDHUFy7tc4W7UDhN9y/0L11B4avWYW/j61 g8zXBXtGP2xgHws9gw+ZNez8YqS7TWMJrT8evU49YA6W1m+1PVZNALNG1J6M G8GL4OXyU02GcIyOEDKzqwca4mPjPgVa8PbdLcZvp9XBXpxjzaJRCXxX7QKD nWQg/Ozv4sO+IpD8d55tfucUfC8N8JVxfNNHlrOtedafE6fHj8kkrIngrgJL 1vlcGSyVZTljnaKEluvZM69a1LA5TY6wPKiJu3oBgSfv6+K31nOWF0YNMF2F jjq9hYhM/5WOl8YbY4x35EqlsilqNN+byfphhsfV+yk80y2wmmaWX+OIFQZM 3l/XSrRGNpUdt7oZG/z0fVOjgscON1wt7w7y22PVr55Kp057HMk6MP9JwgGF Xltu09Q7oOkJ0+3Kw46owHahONbDEeksvqpFdzqi8jlbtvhNR2RSsdqJ4HPC 4u8YZK3vhJwyN5HX3QnfJ453LQQ5YcER+56aQCcMrrDJiXN2ws+Hl4iFmk6o 6iMkx8j5789gsk3hWXZEO/F7cpS3HPGe4M+9bQdHnKJ5NqZC7Yjhw5lz4rUO OP/uqPxpaQeUzfiR7dVvj39sb8z7y9sjX01ympSDHfppjpF2i9siVZ1Unvam NbKi6NBcjRVKSGWXX9CwxJcDyVPMb8wxZMKc77G1Ge6PZiwuGTdBxtrvza0K xtimcbuZr5SIx3g/veLZNMD5MkrW2kt6mHD8s0E3izauPxFin7+mgXKvgreT mVRx1eKsJVWqIlY737S98U0aSTPUcsIHRDFpIYLrsegZVCZP/+o8QY/ddLq5 /YJkIHFW7NGM82mIEE7hjmsUhojHFvv9s87DYiRL0xtTBciL9yHIxCgDufaz Xqr7arA32Uo/sUyA9Qs5zyrIdf7pTBaDHHJ90H/R8dt10wDm6+Iyn1sRoU3x LXNdqxEoJp8iCP42hoshkQqlIqbwvD/8h7a5GdzfL5522ccceiK2Bp/6W8DU ESrZMAdLCO/Mr2QAK/gSk3lMiMoa6J6EaDmiNfB+Xii3cLCB5MsrnsPLNnBr jv1LpJstVJ8xd1QatoVufguh38fswM3gdP0VIztQYJIUYAy3g89Fj39GpdgB RxI92X9xdnCScZI81c0ObtWp0SZI2UF8UKA9+4YtSB9IUr153RamLy3VxIna gpBD6xhVuw24SQUwd3HaAHfcMw/KGGtQ5TuxmzJkBd2lxpNP91lB01aNub+A JdDkUz7jULWA7pMnP+bomgOxZpQtkmAGUtd+BlRJmALftnH6JJMJDCvdJn5e MoK0v4+IDa1EmDDgYycLMITU5H133nIbQIhM5yRflS5sNQe7q/ynBWtzPMKf eQlAkfuK7Je5GvzlAzWPf/1ooz9OYSQHQGNAlmbqKw1X7/92fVAoBkvRrpa7 0QLwJTsmsKaIHcIeXj24nUYCx2djJUI+HsTepeMPWn5zYpfHRDetnRCyU/F9 bXohjtM6kg1SZjIo8OeEVtUgoNGKwVXldGXcGnmlrnpaDZ8dppaRrddATlbP d0UntHCGjW9xNlwHrfucdKtRD1O8hBJVwgzwKHKvscUbYpspd+VgDBEXP5J+ qvUzwrOs7zZlDY1x0J3LfD+XCfIlZexLWzRBDfWqBtdrphhTyLsmA2Z4UOFN UduYGbaVPy1JNTHH2GM85lGPzfHtokGJPa8FlhPC7tGGW2Da46gCt04L1KW0 v+w4b4FdZFTpv/cscLykY+E8lSW2rG0ShfZZ4pNN376dJQvManERet5vgen3 LXMnki1QNKgnmyhngSvmczo5s+Y4KlHN8znUHKdp4oMad8zQ5fOgiH6QGean j3covDPF2rERww1xU0x3Xd/aiDXBF8dfTA2jMS6V39qk+mmErqolD7RYjDDx Jm3tOTHiv/vbk2mvYohf0z6FpGsa4OfeyonHGXroafOQVS1EBwsfsYpQ6Wlh lYlh+RUWArbY+x4Nm1TDi7GJ6jKXVND0z8fPwaJKeFifTjCmVh5RtbTJ64MU cjykmV6iEkcnhpg0L3sh9KB64cVUy4UP/qz/l/ieCSmuFNaVDs73XYv5qVkw Sgcl0nakztscgLvxHf3+AmB78UM1l7Mo3GEdpd63KwmM5C4htLGykMdyzNXz K4BKb7zlTVZlgIYITnoJVTCdHRo7Lq8ObAd+Gl4SI4By8NI8P7MWKI5xTb9b 0AbdGGezlHJd6M/63ntGXR+6413vznsYwEe74JZ+LkNQuinVrDhuCGd2n1rs CyHCAyxQbKIyguzvl6l/ZhsBEaWvp1EbQ/n9EHmZUGPg6/xW/3zcGNhYxM6d OG0CrrRXO/Y5m0Dco7gnPldMoDg556p+jwk4+9itVo2YwKrPAangSROwrPPW f/7CBJadLicN3TEBhf6C4PR8E+D8JTGt4GgCjI9YU1g4TSCe9sWuyYQxTDlv +8lHGANmXvBiozcGnl3hMp0SI/B59fEa3wkjMLqtHHc8kwj1chU9GRuGcDFn r3bd0BBuRQtqPq80gAFagSfnpvRhtLFQr8tID2Yl2nK1+nSA2PxA8yCLNkhK 71aeddSElj6mCx+vawAZk1mo/TM18HzdI721rAKi7NVR/5Erg2PSuGgekyJw yAjJRUjJQdzUzEK8lBSsD2jObAmKQwvH0y9ZJ4Shu90jmJKSF25Y5a1J1rGD 33b3n2MJh8D5yAlvhtyXfWrfZ+1O2tAj2wVhwhKeQm22XRKXu7xYdCh5ZVlX GDXOeFNyCYnjsB/Fizd/ziPvf0o9te2yeDLQWV7SFHChlYvllJ8SEnK0WbW4 VTD/+NHD6c9U0Z8YQTnjpI55KoIrhl81kOzLPPWmrSZa3ay+vNyvhaNNZIxe h3XwtfHCiXpNXWQUvhyw7quH12eGc2uj9TFRiuzAUTkDfCaaYBHVZIAhNtlU egyGyEWaCcY+hljkfYzf+a4hviSRPWi5a4iD0uL6x//xZ9v5W0yONRFb5Lcs 2yP+8YnV4GFMGhEjZpvxVyYR5842OZ5NIWKeKI+RyT+8/O7OO1lvIsr+pZLh VCZidTLHDTFaIk5dEXtU8dQQ+2/rjtVHGaKc+F/GNG5DFGLTmE4fMECFbFHC nrEB6pM3zfj06KNbfkX86S49pHcmN5ot08VVUru60H97jvJu4L1eBW2k2nY6 fG1dE9dvfny4U0xA2tAnf96IamCo05dTor1qeKViV45WVhW/UqFCaJMyHrIG pUQmJdx76Haj9IsChkxKaSwXyCJHdtGolIQUhpq3fB56Io6y1o9IVoki+FNZ 9wFpowDatfdQlNRxId3YpGm74gl0nyOmpttRo+jVqmxx6mEFqULOtIGSgxCt sDihX88KxTs7JXTC3CDdcvP03roASLb6MmfoiwDlQnXPoQJxIN9LF157ch52 RiwmxJZkQO0+hcfbNXnQKSuvjQ1ShOu2CWaeM0oQkUv3dAhU4MtAXPSTbFWI iyv2KR5Tg45+r/joAxpQv2pOg9wE6KhjP90qoQmH2Wrpe8S0YNjNsUqNXRsy hY9Gj25pwxXV1zbz93SAMpHbhtFXFy7E/+CioNEDT/WcYz55evCqKDGKjEIf HP1X0q676MPyzkwCXbM+xDAbd2vM64OfwUVVNlID+PFglneLzABq9/rPyZIY ALey8vO1aX2QFN20LWjQB3U7TeJVe32Ypp3jUdmnD3YvpG1XsvTg9QMlsb9U emCXQaM1568LGdvtZoyDOnBR9c0AK4UO6HKMyGWe14YFm79G5GZa8PRT5d+z rprA/kWZu92FAN4V8ixmphqgVvac4a2UOkiXv2imOqQGvmc7DXomVaAqizXv cZ4ytEbKtzGoK8GIZMvswQ8AJ2PvTLOxysOudMZZOW0ZoOfSGzHxPg+V8f69 tnHiENo+k2aQIQJKfziEiScF4ZFOXNQY8xloez6ww0PFAYXMs5UN35mAmb8z LfHyfnDLZcpyvzvXR789HrU4TIsGk+W3NqyP/9OJQ51mx0/jmvxUdu9PXvwV FNzxtU0I/TY+X2IRFMX2CBf1nR/ieIdALJ6pPI+f5X/0H1GVQU4xffHlETmc 53G8/UEN0DosjEloTBHp7s5M/15XQv1vWoQqahVMrjz+LP6IKp5w4L7zi0YN SR/0JQZuqiHJxXZ+t5fqeLqAKsC8RAMHK9XFxk0JyOIuXeZHoonltfsDXhZq 4hClLUsduxYW7tteupWvhfz836SbtrTwkjtHcChBG2mWngp8TdZG72fIud6q jSvLC4SMZ9pYKlfV1jmujW/kbC8nPPmnby8J7R66qY1vSSfJ4y5qYzvxiNNB GW28HB5msLaghWft162j4rWw7YoQL+lBLXxl+vnkdLImSpRln4v/QUAmyZBw Oy0CKth5rmzka2DU6dz9L0bV0d+JIB2xp4Y3arP7c06qYfAjXfIeEVWkzMtR LJFSQdZ6k80lMWXsJVmNt+JSQjvfsoJmakVcvrVuaTIij6z39LkEw2UxcS06 L4FeGpc+ybHslUiifj+4a7KKo1Efhy1LjghyG1HdVPstiEOlztSaD3mRku9X c1fCaWxR82M8Hc6KQju2lbdm6fH9btmc0tndvnau3J4DPF8V3IaP3G67TAP0 prLCDuIs8Jxt8BFBhQMYxvpu2FnxQPpMDouQnQCcEOelRm5hWDbaL3IlUxTy SB/ZFHwRh9lu+SlF0fNAIZkrw+cpDc+/1Nl+z5SF1QdfBCVL5SE25m3I/SKA G2aMpo19inBXTs3Yq0oJLHoK6vOilOH31YLTVZoq0JDq1c5FqQpVk1VdNXdU oas0R3jQUg2KXtPs415Wg8e96ewhgeoQNunf5buoDgISXqavdDTASHpjf1iF BoxUjZmd/aIBfpGZqa/ZCKDWuRHooUIAYduc4ilzAviZnjnNY0uAYn/dB45G BBAjZ79dLUUAvQa+ePpDBPCaq2cYH9eAb0wS5hxpGsDA+FNQXkQDbl9N4g0Y Uof/AZJJC1M= "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.883720849774865*^9, 3.8837209042718687`*^9, {3.883721147029759*^9, 3.883721206057273*^9}, 3.88372200428364*^9, {3.883722130758728*^9, 3.883722161815539*^9}, 3.883810284796789*^9, 3.8838125900189657`*^9, { 3.883812751688027*^9, 3.883812775823365*^9}, 3.8838129122125807`*^9, { 3.883814393937422*^9, 3.883814417980858*^9}, 3.8838144827763453`*^9, 3.883815422969491*^9, 3.8838154838757772`*^9, 3.8847695351040497`*^9, 3.884770981625286*^9, 3.884771036181451*^9, 3.88477553993146*^9, 3.884779943163752*^9, {3.884780499717718*^9, 3.8847805075371227`*^9}, 3.884782509121031*^9, 3.8847833091445704`*^9, 3.884844593421431*^9, { 3.884844840639995*^9, 3.884844845597372*^9}}, CellLabel->"Out[73]=",ExpressionUUID->"756296af-56fa-4651-8938-2bd637947076"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwUV3k8lO8XrUSRhGzRQouyy5ZKnmuX7Pu+M2MdDIYZBmUpIVuW7BMqUdl9 S56SVCopskS2hEpChaL6ze+v+ZzP8z73nnvOufN5XzF3krnXpg0bNuzbvGHD /38Nmq7XcGxYQC+iSapfoicRh2LE7HTIEupommTviJpEXbf1Djz6+ANVL9kd I9MmUbK0oHOJ7QpKOPr2wWrkJDpzYzqP9vwXMiFbVlpGTCJO8aZeG/V1xNEy MJMYPoleMBK4lGr/osZ/zgmXQieRuDGvZvjzjSDQMZu8P2gSJXJSXaY2s0DB Pc5nNQGTaLprIspcfTNwnZq7t8NvElXq1TbL1rJB6/v32MZrErGx7Xpb+HkL rKx/6znlPom8O2KXOA6yQ89pM8tfzsz6GqYyMznb4I/WsYafNsz6/5oNrHo4 YYhxqVrFkln//j7iI3YuOJEn9dbYdBJZFFFem6hzQ7dqzzKL/iQ6FyU1zjbM DR8y806Uak2ieoex+fsUHhh7ZG7IhybRTmE9TulaXrhUVTh0TnkSaf36LfzB aCdoukpbxchPIvLgLYkrn3fC+7maYnOpSdSbI6C39SA/nNf1cowWnURZO6fj pnIE4Zc+2+PVrZOoYyk/vUBRCKRDvEUaNk2iH6+NSsx7hODDZFK77voEskxv bH3ALgx2I+5Wq/MTiG97wkph1G545rHzdPKbCaQ9p8pmuWsP5N38+43z+QQK fT7Ht61pD1TSaRt9H02gvguWCpHf9kJcp4Rnff0EMmDJbJKsFYWMuw+eR2dO oMmlL6cS/4nC0r2AY70XJhB1UufxhJEYXI7vltgcN4GqHv7qzfssBgy/m4zV wAnEEeu2yHbwAOSNxJ89dHoCda3LS3/IOQT+QSvKI8vjaCRn14b+L4fgM9Y7 wPllHH2V39T3FMQhb4v+W+6xccTt1Uu79VkcBqtU9lV0jiPrl2HPI9WPwH+1 Cp3/ssbRRNFdX+5pSXDZ5ivHODyOovYx+oqF5WFYw+E+9hlFCf456kI68jBT djdY8/QoSvsv+XoGSR7SLQjaKUdGUYkFOSq+Qx4abl7XDpt+j9qTtA/6Bh4F JLnJ+YLLe7R1YZqs3K4AGXtmMgr0RlD2A6mdL3yUASgce0x+DCH7Bp6voRnK 0B2SzmHSM4REr6907vlPGV5uMluRrx5C1ZceUUlbVeC3UZBonscQ6nB2mOS9 pgIXPcvdv/cMoh/rybV2U8cg1Lkj4FHlALI8/tlkxvkEZE0//fZM8y3aWXc9 ZZMlgi61B992ufQg/6NLp6aoCF62n/rXqdqDOu6c/Pa4DIH46IxtFG8PCr3d bXbhG4LaG+fe/rv4CvlZU7ed1wF4/OZfb619N3ppUdrDNQHwjmVLCVp/jtKN 5+x3C2lCtxnXdSHrJ0iNK0MxVUoTfq2nOv/kfIJmXypz/lXXBMlXuwc3dHQi DaOY+2NemlA4S+ArV+hES2d4Ra/Wa8LOrrKsDbyPkeVp1Y8SJlpANB9WP/yu HQlqx5OOJWrDG8NPRacl7yP3W4YixgXaoK34ayrjSiuqFuJ/4nlHG4zWHgrR t7Uiza8VezPfacNGebqu5re7yD/nycs5WR2gR3moWbW1oAezHNKMAR1Ipcy6 noxqQD6pGbOcEnowPVS+avXvOmpYscs+oK4H44uVNu6c19Fft/1wwkIPvkoK 5f0RvoayVepzCdF6sGGD/v1xtQrUNtan2/5aD7rdpSaVssoQr4JQBYWqDxPC 74tDhC6je/3FbpPPTzMF9Ds8rhmCPflcH6ePnYbflxUyoZ+CuczFJND300A/ fdvlg1M0dn15daFA2ACk6spFBQ/F480d12OsfAwgnnio7FZXGjaurSt6ynYG xsukhxSi8/HKPHkjRfgMSH96pzdSdwWXSit7HZI9A+5zlsmXPhbg79eapc9a nYEr4tXJOzWLcV5x672T5WegfmyB0uFXhicudg7d0jAEvmxHR9W7FTj5WdIp JytD0LGWm/U4VYmVtpwu2+ZjCJ+mmmwFcSVOPPucSEw3BIOB1/172q5hycie FbExQziw7bNBTNUNHOr9jv9ylBHULIhG71CrwXvKCyK10o2gRCFqif16De6c cHy/eNUINi/V387nvYV3OY2VGz83AnGBBEfXD7dwm8WU4lZhY7jaIyRUe/wO 3qIxb0ZrNoalse3/vK7VYmOJ3vOvXhjD27UDLDFva3EOTws+MGkM1o25XU83 1WHxyTiZF5wmIKeXOTJjX4e1z/Gz73E3gTdZMizhG+txit9vFEwxgVPHhD/v kajHvRZj4Y9TTGBNjfb0u0k9dj94Yyqg2QQq0yePQUE9fuC+19WFzRQUPkwb xB5pwFP96TR2HlP4/pYmPHi6AW89w5JbL2IKSqMa/IG+DdhEcfbllqOmcFTO LcXyRgMeZak7ecfBFBTP81T82NOIN0UctLH3NoWqLx8M1Y83YvG5nJDNwaZw Ofj1mecWjTigj3bDNtEUYkK/xVQmNuL1ch3BjbWmsFkl+b/UD41YdFeLws17 puBFDs38s9qItVMlja06TWGuOu9f9fYmfDFsR8KNYVPQuVmVM6vUhG99iiu1 mDYFNuqCWpReE37j9OPenwVTGIhmD3O2a8LCukNLZmxmwOb2bG0zrQmr3z3D tc5tBgroWNiT5CbsLtsmUSliBuoSKG40vwnfELjq+lveDJZE95hxNDXhF8n8 UeUnzaBA9jvfvkdNeOFvUq6xrhnQ3lSG0V81YdUZ/26Ggxnsq+cxPjXdhB0d xj4ZepvBRPbmr+ULTTj2lRnrSpAZaLWH2RJ+N+FyrQ7RMpoZaJ/0So9nacZP mlXUziSagYOAucXStmb8WeqGzc90M+Domh5t2dmMuUpFyCUFZiD4SvfquHAz VuBLSztdaQZnD4WU+og1Y+vzG6q+3zGDMy+J/RaHmzF1PeRx0T0zCO6U1CmR bsbFQR/H9TrNQJFw3VfjaDNun7JZX+wxA7XNjnc0lZvxtG2XYOGwGUSltXTe VG3GHC/VFHWnzWCRta0m6mQzltW4bbywYAaFvv5ejaeasXmjmO+VNTOIbn30 1Qo14zCJ7ARtNnMYtW9PsYBmTI8d62/lNocTowbGTUycOCB5RFnEHPx/24yn MHGabHhkzSFzCLv9SXOAeT8n4WHXIXlzsPzzL+yyOpPvCOfu4hPmwD51JfKJ WjO+pmgbIKBjDjfr+LU8TzTjO8lX29JMzIFnP1IJOtaMWybmd2yxNwfFaxy5 y4rN+IHqCbcYT3Pg1ozwWpFrxs8uJdStBJrD9aWkshCpZvxmuoclKNIc1lqO nyGKN+N3p3ZbzZ4zh4PhIwqvRZvxZDah0jXNHHJdxnlqmHp//lK3MphnDpkX lfk4+JrxWv7pK89qzGH/zd6zeqzNePNi9heNFnNoLt797fCfJsypP652t90c 9qgdsIj/0YR3L4ePVQ2Yg5xTZ0zdRBM+aNQuf2DSHHycSymXB5qwTPn2swVz 5tBeJemw4SUzn+blB1M2WsCgId+kLzN/uje+hW3mtIC9Uld4naqasMmGk0+i BCwgODl482hRE3a99donQMoC4AWfdMq5JhzH8e+WsZUFjB514oo+3YST3Qw2 PHGxgIWu440Tx5twZstlM+RrAadZeNaGJZoww1v6h1yMBbwwu+2RsbUJd7Tb Hee5YQFaN0L2TD5oxC92VSRfqLcAg41aYn9qGvHboIXhjW0W8N3vv/KGK414 em8SfemNBVxtdPEdDWnEW2gNj3rXLcB8+8ChN3sbMfebf3yGWyzBzCj38rut jVhI4ox3B48ljAW0ZScuNeAjAxNbG8UtweDzn2PvOxqwgeIO4xxTS1AJu17l 79WAU7/4DNqWW8JmL7otT2491q6uZd1zyxJiRq+/fRhdj9f9fylMNFtCtYBP hKJnPfafP5/q89wSLjTUf9GTr8cGi9c0qUuWsFCyJ7/0cR3euvKxugCsoJak cKPkYy0+t8k9bnTECo527IKODXdw5C57SU9+G4i/yv2xo+Iajr2tqLG2zwZe VZsEetpfw4k6220zJW3g49DRkTmuazg7+EHCA2QDZiVjXi2USnznmfjEbl8b mFBsT9qqX4FnIr/nvm2zAbEpnqHMaQa2epfCqke0hWKXxU7jM4XYMch792iI LawYaJ+xaSjA7mygGBZtC/1fjt3N2VOAgxS+u17NtIVKpS3kiIV8nJJs1/qv 1RYKeRjGifm5+NEJcXILjx0MDH4d9/6ViY8W4HGJe3awlBrIcYI9Hs9eudzL +dgOJCMGPvGznsPFV/w6v3XbgSbXh6KujWcxxxXB6sZJO6jnERX0Xo/Bk3kk igaHPVToBuw+zxqBs3P2cdnZ2UP2vbDx8B+ueCUj5uT5FXtga3yvMzYVim5l WMn6bXSAnEXaiYcV4cgzQ0rMeJsDNKrR9M08I1BP+gAb3z4HGDDS4jEcoqHr l+TelOg6AF/kjbP+ZnHIPnWM2HzZAVjejKQ4DiWh++dRzrSiI3zmfcWi+zkD 2frNt+WecoRj5s/D/2pkoiWjohl9PUcgXIe7m/Iz0ZGda6o37R2h/N4R7tfa WSi7qGmYFOcIxQn9H/2zspFvnYzYr25H0NssuJLCmYtYL4+crhp0hG/eqnza trmolHIxxGHSEdrfWkQoX81Fb9U+Pbr/0xHeD0TwP1HJQ/Ck3Pvsbid4c1fT 9bZlPhIYEane5usESaKXN0r5FaDatq6+VrITBOU2bgyvKkCGZZF/AqKdoCnm uv7qbAGK8x4w7kl3AkdpP9kKj0I0t5C5mN3sBDZFO06lmxShpF4NYd2HTlAZ VNOUdb4I7W9a0FzpcgKFROXZlw+KkA3NONtu1AnOE7YZTMsWo3ZWjmN7WZ1h TURKsnJjCXKabXF5xeUM54QWnjgplaDVLsL5WCFnSFFtv2LoXYJk0h8PTUo5 g8iH1LFXT0pQnnBc1DVzZyDInt3UAKWIJLf6UL7UGTouJKzGz5Qi2xnVvoYq Z+Ah5Lw8vl6KNEsip1UbnUFM/+ZWKncZEtixxqHR5Qzzff2384+Vobb5PxZm P5h8vItCCbFl6Hqluvfbv86QW0EkUjPKUKZzTIQduwsY8S54CTDKkHf3hiK3 vS7wGTraVx6WIa5bLNPB+i7A09Yb5bpehla9tFd/mrvAtsLID8PsDDS5J4GD 6sS87zulMiPAQE2pbHJnQ1ygcmBreY0cA5Xq6GmwRbtAW3j7feJJBkr+k2SR nOQCJBu7lDu6DOQcwB6RWegCdW4XFxYdGEj/kEGywDUX6FHt3/LVi4EU3icX Xql1AVica44kMRCbEedDRiez36ngQ5pxDLSw2ahX/LUL7FBZQtEXGOhda+rH qmEXKLN5rm+UwUC3pHdw1C+4gAJ/4qHqEgbKnTLZfWzNBY7WEn6dqGQgMNbP fb/JFVJk7ZMdqxlIuYpYum+rK+RdVrHkrWMgSbYLN9y2u0JMxcFY52YG2ud+ o+4qryuA80EujVYG4mt7du+joCuMYOW//z1gIHbhzx2H97iCeZet6bMOBvob xtHts98VrhYE7vB7ykDfX0sO3DzsCo+z6tpLnzPQrMyZ8a/SrlAgkDVL6mag 9xf8PskpuMLhg9xxgz0M9ObjxaXgY65AaJVIefeGgZ5oVK/Vq7mC09gYe3gf A7UWvdi8rOEKSg77x669ZaDaX3PbVfVcoXewcJ7Uz0CVVtsFqYauMH/5t30f ExfUyoi2mrlCYubJg2+ZOH27scRfa2b/bheDECZO8AlUAEdXkDYgvLzJrEd9 nHbyrJsrrA6/EYph9iOJ3dbu8HYFzcgr1p+ZfDyjXxmx+bvCptUD234y+doN fbPWD3YFVVuSSglzHmNlbtfkcFeYyo8anGXOq5Uh7/OC5gps988svmbqofrV NIQrzhVqREMybB8zkMzpYJppoitkb1D8GvGQgfZXZMRnXnSF70+rWNXuM5Dg xrrUvnRXeB459K6shYE4nd7kCOS4gshO7F9Vz0DLfDtvXCl1BQd+43zGdQZq rzhaerbCFapmbiovMxjokopprm8VE//6U7BWyEBHbFMTTjS4QvsIvVMknYF+ zt6M2v+fKwzV1CSrMPPUHtlF5mhzBUZbjxDLWQZyKNji/u6JK8Qm1BpXhDDv S4vbtb9whQ47WtE5Xwb60aptWvXaFe4+C+gVcGegtNE4deqwKzRGvfjhYMpA D8TWhYW/uQLLrSMLJhIMlFInzLvpB7NejQy9fy9TP63j7J9Xmfz8B2X4+Rho yTN85b9NbnB5l55/458ydOj6Qq+dgBuc89y4P/9lGUqW/ZiSf8oN+F+vNMS5 liFrzBIfp+kG+ruEeu6YlaEDpvtpPnpuoP662LBQswy1Brv4HDdzg1qxR4F3 D5Shbw1DOkOebqD3cSSL/UMpsjzZ/VcohYkfHxc3si5FYi/mfm7IcINjU/75 tVqlaN5x29fZy27wUcOcMSZfipLo+sMtJW4Q959iWB5HKbr7sL3Ztt4N2EP3 T/SFl6B9+s1Bee/c4Cj+h9fFi1H2o+KRT2NuMMLuH166UoS2okT9kx/d4DF/ 5Bx+UoQWlK1ER7+5gU4RJ37hXYQeHPj+6gCrO5hU7J3fVlqI3P/Jyt2Wc4eN WwVzWTYUoMqmyq+P492BFnvPNy42F8kcyvH9LusBc0MZuzVuXEJ8vL6LUkoe EJmi+pgkfQn9/nsqwvO4B7QInpaKvZ2Gng5+THir5QHIev324cZU5J6iXNZs y3z+eqemEr6Icr73DdDOeoBxxXh/Uk8S+vtwp87mfg94fPhHTvFiDJq6NfNc bdgDbh8Kt7+0SkfPC+6Zh417wOrWxcHuf9EoL8zDdfqzB2wS2/LmO1cUUpCo pz395wEfOodE4xUikHe6eV2KhCc8MpI1EroUhF45Z+zjj/aE++NnnzSPn0Rp sR7Z3+M8YTDU/dixQWlkyFBmf5PoCbEpRsoZQgvqTz8OLaWle8L6CS38veY4 fuC/v3NruSe4vHz/62SxBa6j1vuvd3nC7/Syrp4Gb3w55+1/H4S8IH5Lzd2S TAq2bLkm277HCxyHny61GUVg3neRV0v3e8GVhStXP2+JxGl79qY6SXuByfjd A0ciqTix3Nt1AHnB59tT0heNo3FE3Qrbc28vuOi8cMHXPQ47dO+yrGvwAg6b 2pBzxET84F3Dqd//eUFEpVUT691ELD5jclgTewG/6ufJZxxJeOlfwu/Xz5j1 7wpxS1Ul4eSjS6WLo15gfrtu5uXYedyS3fVVnt0bqnI3XQgTv4j3lnkNRHB5 wxnCUu5zv4s4vmbDwwc7vUHh5b1e6zsXsUmnSrbpXm945jD8mvNYCp5eYZwI UvSGzAcqCptPpmI+B1rSbSdveO92q8N99yVMJQgEr7h7Q/l5ds0vlpfwOLnW HhG9YTKeTbs85RK+mTIj8yrEG7aKtMuU/rqENdss+uaTvOHT1IGhCc90fL1r /r5KqjdEE0SHxqLTMdfAhWv0TG8oCXI8GZqTjoe+YSpXkTckCmSJu3am4yAx aTHZOm8oGlH8rSOWgftlnnCEN3tDuqRnx7JKBlY74f7jfqs3qHMfZZwyzMBb LPKeGD3xhu3l/26khmXg4vjNgQEj3vC2sZiq8igDb84osWmc8Ab75cns3LcZ 2LfohMafaW/omLtBTJvJwMpNQXypi94Qw2jfiDgy8YuZkbvVbAQIsw51qjLI xBwS4ZlXthHgCuvy1zbbTKznu8P3PDcBVqVKJinembh9TmOXpzAB/EYJq/2x mXiD7PCC2T4CxPom7YpOzcSnSKFP0UECZCkazT3Oz8Qti5UUEVkC9Ew3KurW ZuJlBTBhVyRA44Lq7+jWTKwYOiS+cowAIkELA/ZPMvGt5W39bzQIMPiW+/Wm kUx8dS1IKdmKALZnl1q4NmbhcTUOzgh7AgxtSakPYs/Ce+lXP3i5EMD0r9et CJ4snLehP1PDhwBKAZL1YaJZuF+D5CsXSAADwYO1gYez8M5zWzX3kAlwLvRs L5dsFk5jPbm4GkUAT/2ABO0TWfiFbt/T6TgCCJGW6YMoC7OfDyjtSyQAr+Rp Vl6dLKz7jC2i/SIBLPWat/44nYXjOUpN7qQTYKITLtCNs3D7meOHiy8ToPn6 x8Ra8yz8L+XN34tXCPB2rmJjqnUWVuv2648sIYBaVtwvbvssTN3BeotQToC6 gLq+E05ZuMW0OMHqBgFmTj0Z2u6ahX9mHHPSukWAOXcR72T3LKzQ26N0tJ4A eORW5B3PLBzE58u5r4UAHjfj+GK9s/AtK5YpzvsE6O/OUvlFyMJfcgrv/X5I gJLsijIhnyx8ZFA5a7aTAKX/XbgyysTeu1759j8nwKL35Yemvlm43J6o2dFD gPTCpwIkJp4o2Chc95YA0fYHrhxn4r3vryyWvCPAf6UVZ+4w7zvuVXqWOkYA bZKJVC8xC+e7vCylTRFgjaPDppjZv7/UO8LnEwHGHu96LMDkxzf5z8RmngD/ Lk7OqDH5mx3IP6zznQDOTnsfcDPnS/NU+Kewyrx//KVRpgvTj4rn/aJ/CNAn 9i39oSPTjxnPW1ybiGB76vVogR3TjyN/E9bZiHDz+1ClGFPfeJ9cp8/biLDq NaBuw9T/YZW88iA3ESD7WaUa0x81GY+pemEi3D2YMi3A9JMauH6vbB8R5hMd 27ZBFm6+fTnr0kEisIS8kL/OzIOCwlNNP1ki9Er8jV9l5iWI7CZsp0iEffsn ZGuOZOGaht+LuqpEcJApHeTbz9T3mEzZfk0iSCQTtdZ3ZuHtHpe+RuoRIfrm e8uBbVl4KW3x+GtDIqCIcy9tWbJw63TjmxgbInDzuf0wXszEZbxC+wYcibD3 Qx7j0UwmTlSn+sm6E6E19770u/eZ2DRHffN7fyJUWP39uPw0Eyu3l5oqhRBB 7syXgc1tmVh4flPRRQoRdle4ytyvy8RTOk+UT5wlgvcsi7FEQSaO+GlCyM0l gov7rMZfQiZ2Equrny8kgk1BdpCXfSbWNOLboMsggrz8QfVww0zMWTGY96Oa CAd6Lm8slsvEpZZuXWbtRNDqmLdTWsrAz+pDZDi/EsHnxuuvNcQMfGusL9Jj iQilQYm3Ja0zcPa2Y513V4hg4a5OdtHKwM4ea84+m3zgmv9rm7ndGXiJNz69 U9AHbDYNBV57kY6FQy5/j9X0gfuG/Clm+9Lxv6IVNKjnA2ko7iF1azqeemaX ImfkA1MfG2a6Jy/hW2J7D43a+MCsyo1igQTm//HrSuuTAT7w9o/gx/5HadhX vuW/n7k+cH4gv/i2VCp++JJNTKnIB7J/7iH/t5KChfyszocwfOCNxo0Wi0cp +EnFkvW3ah8wOsJ6z9IuBR8Ukfkx+9AHFmTYlxdiL+IxVobsyBcfGJfi3Lfc dgFbDl+82o58Ye8OvjLTDYkYJbqkXprxhTblKLaKDhoOtK2eJM/5ggndWPma Hg0XSv46ZrvoC3FHnztmd1Hx7+7MSdE1X9AfeHRZricSNwl2Hqvj8oOORP5y sXcULHtDerJP2Q/UeWXK176Q8d4Xv1SE4/3AZS8h+7EEERsV66b8Pe8HUpm8 gvbyBBwVlDUxmeoHdiT/n7rHvPE7PpmUm7l+MOol9VhC1xPnOLlOqN30A3kD h/Aigivm+tZ50eWNHygkPTCuoJnhPzzZ4+Wi/qC174N5F9ZHfd03qpYO+YP+ nYb1iAZDVHURh4KUP8Qo/Tv+n7kpsmX9snVE2R8KJaM/7le3RHWrGkd3nvGH dxtP2lL/OSDvsW9xcWH+wEf9engmwwu9qj5zwLnLH/72lmSufwtGlT5uX2++ 8of0DsMtCk4hKEqc0vyrzx/2tojr3HsWgiRLGWcuj/lDznW33c9KySg+6xf5 xQ9/mN+61X1FNwypUq91nNgXAE7o0UP34AhUpsfiLRgaAKZXCfe/KNOR6XHB vdsiA+Ar9x3yywQ6+isp1f83OgAkXKuzV/royJ7LQnc6KQCGDuhHqAbHIN63 DPHGggB4SSUURJjGonh3zRnzRwEg3Tq1GhcYhxQsrUt0nwZAxPiqzuX0ODSu 42tz4mUArHl9OaxbF4dOSWQ+ERsIgOpsv6rYH3Fo+dvEtYXPAXCALGHtGnoW EaPjiGm8gTArtkkmyu0cEiBdFj0rGAjR8+0KDtHnUIfrjcGw3YGg4Zj/pi/v HBLTfq3vJB4IG/ZWEQq6z6F3HGIS0icCgYGr4lyV49H5daWJfSgQRg1uMHiM 45HKvH7+Tu1A0JftF3H2jkdZr4PY14wCIYy7Q7P9cjwyzHvw6ZlbIJy7KXO6 4Vs8+n2hr+y+dyD8pG9qk2NNQNdps3a1foFw3y+HoiWcgFhduLvywgLBLGOt RVErAbUdcq0iXAiEhndiBNX0BOQvGOrukBYIjcYR8uGMBCTMfl7YJCsQ/n0u YDNsSEDhc7eTVYoCwa/QYAj3JyC5+n++rLWBwEo++eqJQCIyFdigPt4YCGrb CTdohxJRUOQGnnt3A4HX9fH154qJqA5tbA7qCIQYRSd9ZJKI3jA2Jp95Fgh3 sxPFPBwT0XfWTU7i3YEgjRJIB3wSkdKLTSwjA4FQQ9rkGxmXiCzlWPqbRgKh 9WeswI7URBSWyXIjYyIQ6N/lrkJeImqy3Wyi9yUQHnz32hhRk4j6723ev38h ECa0Jk7GNCeilb2sP9d/BELt3qXoAw8TkepH1oK6v4FgHtonpNWbiGz12QJT WUjwp+D8/dbhRBR5k02DuJUEI8F81N4Piehu8JaZPbwk4FaQ93+3lIje9W25 uypAAs/dD8q6fiWitWNbU3tFSDDpblZluyEJqf3dqnjhEAlCS9RmDDiTkKMb O5unJAlObyupvMOThKI72IfU5ZjnQSv6jQJJqPgwR/UuJRL87NbpthVJQm3J HDE/VEnQJZ6sUrAvCY1+5TB/dYp5TumIizqQhP6ZbjtUpUmCgL39Kb/Fk5Bo w7bVeD0S3K2raRGQTEIgyPncxZAEfHU+PL3SSciVyll8wowEtN0cuXJySSju PWcwvzUJvi2mnZY+moQYsF17wZ4EQQqrR54pJKH2q9sFn7uQ4O97HWU2pSQ0 ycb1ucKTBJwPVd+pKychFl+u+7E+JJBbWrv0m4kPvuRKdwgkwfn3R1OVVJKQ tvwODxUyCQTPvXs9xzz3zNqhwhNBgveTP50OMHHC8g72uSgSDK2fOzqomIQq 7bhHOuNIoKmtdvE+k09nK/ftskQSjEXdF3wmm4Sm9/GcjbpIgsI0D+lcqSS0 5RyPlU06CSIjZZ8dPpKE9E/zrnFeIUHuO4WCdNEkRKzm7Z4pJsGgqX8PcXcS urBjZ1n7VRJsmyJ/0RZKQlUhO0OLrpPgJkti/8jOJNT1dqdeRA0JWB9c1hHe kYQ+q/IJW9Qx+e+6qvqHPQltK+T7KtPM5MN163bC5iRk6M6f9eEBCXYdvj+V sJqI/B/ze7c9JsGl0TT4tZiIUo8IHM/vIoF+yRkDvi+JqHteYMy4j6mPWiJB YyQRfTMTrJMYIgHXrs00i75ExN0omLB5lKnHX3+17S8SkRlNSOruDAnUicre gXcTkfCziZC/cyQAH/9vRncS0aTAzbuaS0y/DIKMnlYkopC6UwbP10lgXjOa lHopET0LrVWa3xoETTnslobOiahGJMc2fVsQfCR/52E1S0QZ7dQoBa4gGHhB uOqglYjsuLU7wncGAbXnxvFB8UT06Wa/xb89QTD/69RX408JqNv8HqVMNAjO DRa+WB9MQHW/Sgq0DgRBsHyClu7TBETV8/mQdCQIQstLqJ0VCYjjw1oIt2IQ ZFw4/yrYMQFJCotliukHwXBjhMT7lnjE9ZC16ZFBEIQYyo9NMuLREuHzkJdR ELAuc9tnp8Sju431YlXmQXD9QsvlBed4ZGCmW6vgFAQpKqE/n/07h/zO+/Vo hQQBo0gmMEjhHDKVM/3xMTQISqxcLL0FzyGlfiWh85QgeOovK8e3fhatH/jr 8iIqCKJayttzO86iFJz+zTIpCLrzv1ySND+LqpcbubwLg2BcQ/4v0TUOrTfn SwwXB8EylA0c0opDhpHR2qZlQXC0uUy34lAcmlvTpp6oDIIZGf++P59ikdTG vo9cd4JgdUT/qn5QLKrattTa/CgIlLfrOpVO09F1UVk/9i9BUCCy0idyh4oq DCqfVB8PhmsiB2RIMcFIP26+0FotGGoeuEXVSgejuWaVkA0oGOLf65T0DgUh pUNPdltqB0N0oqRftmIQav83E7xmHAzbx3Vjp54HoPEGid0GnsFwNWB0UDqV iET21QTNpAXDJ537nENcjqjN6qdORkYw3LYKM2PB9sg95ZTIyexgsKqPlXEj 2aGqXy8fp+UHg/uQwnf919ZItW9eWKU8GHiOf91zJt8MWV+Qfxz/XzBUXXg6 4vhHDWV8r9+1fyoYTtw2/805cxrPu4dE4elgaMjkj/CzMMQGb+THHD8Fw8by Ms2H943x5tqa8tz5YLCr4nCR6DTDEYHX5Lb/CoZAa82wHRessfOnKzqr20Ng 2OE2y54hFyw9FhfcfSwE9O50m5xqJ+ILxtDndyIEPqYdrD9/2gdP3/+rwn4q BOTH2Cu29/jg0kLaupZmCMj9ce4bfeeLd9qHJf1nGAI9Z8/c3DLjj3/3EYvK 3ULgb0Ze0LJfEH7SZfKMejEEch4WcM1uCcXpltsPfEkNgechpi3bT4Ri29Gu KIf0ENh6scjjqV8o/ryoI692OQQ2uVoEsXSHYs5darl/ikPArmQ/l2pqGDYn HPGKrQuBWrdV3tzlcCy8+LFtoSEEuF0tmx6IUfAH6lUht+YQEMov1gw1pODQ tL0vNFqZ8979wx9ZSsG5jXyKLJ0hcLilWJRNKwKPsGzcmDgUAgGOx1luB0fi itQ2++VhZv0aep/b5UgcKBjV4D0aAg6D/T/zWyLxP8kVgt4Hpl5a9wilfyLx fvOv3Vu/hsBUiMau8Tgq/jxcdSTyWwhYjNwfaimj4nov4tlPiyGw4+CSu9BD KtaO/KDctRwCVF3qoMtfKiaUDhVe3EAGl6bzNVvJNCwvmbu8tokMk7tY//ud RsOr9Zam/qxkkH4o8zigioaTn7xiMeIgg97wubH+MRqunn/sy8VHBqxgKdmi HYXDIs510AXIsHqwgafeMQqrb9LY+02IDOwezcdlQ6PwK/7W16/2kKGm/dqZ irIovKRWp5pxmAzE8dmqvOUozKXWZ6giSQZbSm4z4ozGUieXXYelySC6wZDT VCwaex4/ceGQAhlEEq3uV5+OxrGqjkVdSmTI2RjE/csxGhcdo9eSjpHhyYD8 5VukaNyv3D70nxoZpLIrFK2yovGS0tRXZ0QGZ6qdkW55NN6hxLZpsyYZmpeI 6yUN0VhfwUDSWI8MCs+lPC/1Mvsd9Vf/fpoM7YmT1ocmo3GcfJp5niEZpsXe PD24EI3vyr6hTpqRocyhatiZg477ZX6kJVmSoVbWKCVfgI6/SwtclbYhQ56T tL/6fjrmllZtfm1HBvNZPZqRDB1LS9k/D3ckw3B3yX+dx+hYXzJqTMSFDMd4 lA5XadCxl0Tx9wduZOB/tD7y04COiw9PimwjkGGCJ+/+Cwc6viu+Wf6ODxle O/Zvt/Og44FD4tpW/mQQ8+UoNvWl4x8H9W1/B5Kh+7hSYH0Qs/9BX/+SYDJc +xCzKyac2f9ASqx2KBl6ZNVvNtKY/fffyv4UToYp/8A521g69hTruZ4WycxD Efd7Yjwdx4kutSpGkeHFw4PRH5OYfPbxvR6kk6FksOpFdzKTz16Vj9FxZPiQ McmyP5Wpxx7bX/vjyXDrm4L0RBodL+2mbn+aSIbIXxw9XOl0zLW7UCzgAhl0 bvt+q2JiKZE2Zd4UMvDwmCc3MrG+8Pjp5jQyvN/7sFSWiT13bXJ2zGDma4vI gZ2X6DhW6GDIxmwymNqbj3oy+xUJ6iZW5pDhsbbHycMXmXwEiFfO5DPz9MTo hP15Jh/+5FsLBWTgmOQZ/sOcZ4mvuv1yMRneZd/ewxtHxzv4uvtPlJHBsunp 46wopj47Fz6PXSXD7uXfEvEUJh9e3n/xlWTQqmK9NRPM5MOjtFPyBhk638ya tfkx9eG2PvzqJhkYpHL+rV5MfXZEnAy9xfQ3VvVXhxOTD9cVk121ZCD3Jt5a tGLy2d7q0VZPhnjfxZE0I2ZeOEcpHk1kqDQV+1umzey/bX9pzT0ySHC8FpI8 yuzPod1g3kaGi+9NeUvEmflg93668oAMr/Sp/yWKMPttqVrQ6CTDvu0f1upZ mH5vVtDo7yFDzAsireVlNM7bY2Fo3MvcXzV3rUkcjUWPhdp0vmX6W3Cfnl8b jY/6NgU0vSPDBckrJneY+2Lec+JKzhRznw70mwebR+N3nxwquGbI4NWU1Mei EY09WKLvJH4iwy7L/7YflovGoSq4M3yeOe+dwsp9HNH4cqHWd+tVMuRPz3I8 uRuF9zZ5/u3+zdR3y0DCREUUrnyVwK73hwyOMk4n09OjcNOmp/uObQqFyqnN P0o9o/Ag0dBQkDMUTojyP27fEoWFla0qBvaFgsviYY/4EzTMMA6/Y7I/FKq5 yyw499GwJDH33pODoWDSInpOkYWGTxYMvW6WCIVOVb1T7szvd8eNzn9zFUPB a8BB7KglFRe/9Lax1QuF+3YDppLWkfiAdwT7UGAokJ5xup0XomDPlh0M7eBQ WEyJHvxvKRxXclw7cYccCnmWo9eLXoTjI7ff+iVFhIIG8WhLdkw4ll1V6FY+ y6wfatysOBmGTyR/zcy8HAqe1ct916+EYrNb7rsNW0OBS9aWyjUajGOWDeUw exh0H3zLsqmRgLuH1ed7a8PANFlIm/caQq/uH1fVawiDY/Qy3ufuGqinROns 3aYwUChQDvi1oIneeEgKlN0Lg6+x9q4iHLqo/wu/euDjMLhbz+g8IG+Ixtbm UrcOhYFglY4E7LdECyIFMqc2hEP/znR8rsEFLf65TLmzKRwuHfK6Uq7oipbG 0h8eYA2HMd1HT3NTXNGPq4lWHBzhcPZKe6zcKTe0KhUSPbAzHIqWnXw08t3R RrXTL4MPh8M4x8rzkZNeiNdxxb/SOBzuiXsTxA/4IkK9dbCxWTg0h+uZu5J9 UStHU9iyRTjInXzovtbui7z/C6Xr2oXDNvnIUQVXP/SfwNKlaY9wkB07GdCa 6Y9cX8/ViUeGg42yznHbgUDUeMSwuZsWDm/nHPOf7iYhjtib98Lp4SCSE1hy 1o2EGmR9OzrPhYO4Xsrw1CwJbUmZeeudFg6VsQp/IihB6Jbu5Grl1XCQSfrZ 88kvGLEUa/wxrgwH1V2sms/OByPbn6UbV66HQ7LPg0DdimC0qdyFQ+9WOLDq nFjb9T4YWW18LzLTEg7z1Uc3yOqHoCpbNdFL98JhZwrl6S+3EPT3dsHBY23h EMkYobnRQtB1Z3uZpEfh4PnjVSB7TQhavzegfrg7HEoa494UbiMjs53HtF71 hEOsiG2L9n4yqvTN0aP0hoPijW23zquSkckuK9Mng+GgvZt1ddiDjBjhb9wI H8Lh+uqpDfWNZLTy8qj3jmkmP5rkliPPyMjwUIZv82w4fPrySkF5hIyWe03I W+bDQT9fZ1VwYyg6ffRl/LXVcFiSWfLcpBuKOK5Kxe5fC4ejZkLhR6xCURdf Mq3oTzi0uZk5fvcIRYaruiFZmyiw+My/LiI2FHH6VgRwsVIgXLCrWSEtFL0c ZvG5sIUCVTp+ihkFocgYP3CJ4aQAl3Zk6snGULTj6D6H31wU0OSb9kt6GIp6 GNHWYTwUGLuo9pvyMhSZJZ4w8hOggJvwEll3KhRZGjWcsBGlwB1+U6vc7WGI H/OqvNlPgWDzhT1sgmGoXz74qNEhCujoNlrvEg1DNnyyR7QkKbDfokZI5mgY EkpMOdAmTQFZ//EymeNhaHDl897jchQwUFMteANhyH74Gr+cEgVSagxjtpqE IWEjNp4qFQoEVloHXrEKQ8NtnpyHjlNgu+3UwdcOYahQ/tGW0pMUILb/ZFS7 hSFHhhiLiDoFaB+TZ6UJYWgPX+zfy0Bh6smfbOYfhkYTRn9xa1FA5sLi4q7g MFS8ovbzog4FVoVH6pPCwpCLT8ECmz4FrD70vboSGYZEh399iTOggNbksI5F dBgaN7SdWTekwAPBRf7a2DBU1tY0STGhQM85Pmg4F4bc5flHl8wo8OtD+7p9 YhjazyAPBVhSYCtp1eja+TD0YeebvllrCrAx5h/nJ4eh8gT5Hg87Jr+oCk+F lDDkuZL2fNSBAs//7ZYMTg1Dh3y+dto5UyBb0krAOi0MTb87097nSgHnQpk9 40xcaVh138SDeb7D5SPXpTBEaNv6X5cXBaYdWd9NMc+PyBMadIjMeeJF19yY eLbs8e0HvhSYTLijn8isf2PnwZsnAyhw0a2x3YzZ3zfhbGUTiQJmgnI+HUx+ UivjZUdDKFCdeV92mMl/joiKqkMpkGHw8mM+c77qd0V5hykUkNz+gG1jfBgK MFzPYkRSgPzucgZ3XBiSbbO/tCeKAqQ648SnTP3m5f5LzqNTYO/lz1NHqGHo dplg4s44Csw+E38qFx6GgnaGx6Wdo4B4elPle6Y/8gl9UeyJFHD1/eSuHBCG FpcVIuLPUyDTFq+rEMNQyLtvgdRUCnwOsnx2zCkMKRoa+/68xMx3wc51FZsw 9ON+tVdQJgWObNDJHTYNQ2FlPo7euRRQ1/NXOKzF5HNG/WNfPgXCju5c/X4y DBGXeQO1CinAqAm5SFJi5ulMa4xoGXP+Mo+soIPMfP9M33rpKgUavmgTf4iE IdNSr4w/Fcx86wv2HdkZhrR/cl19V0UBRdVLQVc3hKG2kg9Sp2so8Pa5Utmn 5VCkatDS0HybuV/Bz4njc6FIqsStM7uBuQ9PEjYPDIQi3tMNn4zbKFDSK0kS qwpFKd/Ph9x/QAHjEm+PhaJQxFbstCb1iAK3Lg8WBmaEot9LbNvZn1LA/1XH 0QuUUDRRaCf/6DUFxkdEVo5CKLqz8Df82EcKdMSVmdAfkZFkQe+/ihkKiKTU u5TUkVG5zvXzfJ8pwM76/XtkGRnlXTG7sjhPgQrN39cd6GQUo11+/+YqBZoZ RwQeKZGRcd7pzaKcEVA7VWLamR2CnmruTU3jioA1oaq5wpgQpPl1if8PdwQM KwR3y/qGIGXNwsPv+COg8U1ny0X1ELR7bt4ge18ECP27sOwwFYy+oOyMrYoR 8GAdB9kfDEYtLi/7bipHwC/7waeS7MEoMYZNyEQ1AqLWb9v/9zUI7ccRxZdP RcBZ9iIpnqYgZKvudHO/fgQUi8i35msFoU418cdqThGw/LZj72BFICo93rIa lBQBBO6nWc9SfVGg3eJJvuQI2L/b4cSMvi86GSkZ05wSAYHpYoeqWHxRf0sh 69+MCEivirHhivBB21XjeC8WRoCmaaP4bUcioqoYSFfURoAKkXg4U8AbWSqO uAwNR8CXZGMNdhs3VPfw81dCZCRUfaub/cF5CKPgpEneqEgw3f17kY1NEr8Q PThwnx4Jy5Nx+/3WZfFMjNODnfGRsET6+ZgSrIR3q/dk4rRIcEnjG83RUceJ dxuPCZZHwo7ILMeTPfrYvj42rrM7Evzb01MUG6zwjPue8ODXkXAm49rampY1 DuW967u7LxLqUjeIHO61xpeCv1uEDEVCTuvdKu9vNrhDzlt871Qk7DyxLem/ ffZYtvrM87BfkdD4SVmu1ckZs1QI8B86SIU3QeYDbKIe2CBVIveROBWcacdd be09cHqY2i53CSp80PqSoZLtgXfruu8pkaXCvh23v+WxeWKVmZpDu45TYeOg 0Oq2aU/sK6Gjst2YCgtna1ji0rzxHR7blpumVJiTfj5IeOiNV375njCwoIL1 H1OXwe/eOL4rXT3Jlgonsp9cUbEh4CK/Ed2NHlRosT5duCRIxD01ZJufFCoU Uq6fWI31wQI5iUNZVCrY3D38Hd/0wU70fAeFaCp8TN529t9bH/zZGLuQzlLB Y6w19OsRX8yywEH8lEKF5Px0PfunvthgcM/npEtUWL12gTo074vTH8j7i2dS 4af3r5O9fH54d4Z1kEcuFSxatCRFXfywigIj4n0ZFWiWosJCX/1wlHDjb1o5 FRRUnJNUdvjjR5ueRglfo8IOvs9vO+T9sWnv11ibaiqwdXwROBrij31Dj194 3USFnMPC9abz/rioqSf/8XMqnNryn9Hp5wHY9L9J3mPdVPAX/zx3YzIAb2r9 cfF6DxWG9pqyXvwVgL0fCtEvvqVC7T6if/ehQCz7wtXdbIwKvpNhv3UiAvF4 d8hw+wQVZM+q/yy7GIgzX8dbKk1R4YVu4NWo4kC80n9dV/ATFeTvC7tWtwfi BxMLku+XqLCd+5nc8mYSDpnaVG78kwobytmltPlI+OAM354HK1RQa3ywifsA CV+YU91xdZ0KuSaZemKIhNW+GZzn+0eFhsHqBm9DEp5fdNyYuJEG81teDUvY kbD5Sux3IhsN5laedUoEk/Dm35n+77bSgPFtnuEdRcJN6+Ufz2yjAV1NNlAs iYRFNj0bkOWmwde2hy3cBSTcvXnYtJSXBkoDXqra5SQcu+XrMx5+Gpg9Udqx XE3CU5w8rT920WCXnEV7XysJ5+w4oOy9mwaPKhnFGztIzO9B5VsDe2mgt7z7 TXUXCf/m0zt8WowGGmJSCm97SLhG0K707gEa/PZ086f1k7CrsN8uaXEaZAvJ 3y0dJmHePdGZRUdowKWWK6IzTsId+y5t2yFFA59XOenEKRIO318WHytDg2tv ZHdtmyXhI4fq/yzK0aBTx6VR+gsJvzv8ONxDgQZO4Q/iur6ScIrkwLc+JRqY /9Zxmv1GwkjmE1H3GA0WFz47JC6S8JLc2kTzcRqcsL8dXb5EwuUK2x0k1Ggg rZLVrvmdhK2V9/VdUafB0/gcSTcm3qp61IhTgwYVx2Sn/zCfv3tCqzNaiwa+ /AdtdzGx/ykr9E2HBsnOHsZNCyS8Fwgtrvo0YNk597RvnoRfa0YefWNAg7cK bU9C50g4XudilZYRDTa0DRnkfCJhFf2iA40mNEhqUDc/Pk3Cswa3C8XNadC1 hCrsJkn4itFD/jxLGtQ79ceuvydhQ9PeNHYbpp9nhjP2D5HwX/OPW2h2TP6t xoPPe0n4jtVK7JwDDVpvy1uuviRhD1v2307ONJASj2O9/oSEBRxEyK9cabCt Zd/7wQck/NRJZg48aFA16SOU/B8JS3uYjR4g0qBE+4BM1A0SVhh+wtPlS4NC jqTK3yUkrGqhrhMUQANWa6mHs5dJWFtLqro1hAYHqErjnLEkbHCvbMw9jAbF U1+HdUJJ2FRRaCd7BNPP4XNSiwQSdjzASrWKpsFCgE5nsREJuxfQatZiaFDN HsxTxsw7cefSeNlZGmjdsdvJdZSEQ1nG9OaTmPMsW/Po8zL9/dDCn5RJgzy+ CC2lbub+OcidlrnMnMeGNeb1vUCc11sR1ZvLzGtobtjM9UBc/ijzw74iGmxV 78qKjgvErVf9a1uu0WBUd7lbQzoQt4t8mHKuooGmx4J1JX8gfpplJ8RaQwPT 0lb9pL8BuO+cboxZHQ02j3MRGrsD8FcPUaPPrcz5q9xNl4kB+MdwTmw6psGO UpOLesYB+LfF9gaVduZ+nGQZ26EYgNm0fwufe8L0RzRRUXLNH+892Dcr8obJ X133XGqCPzaeSoo3mqGBykLKo5BzftjS8W/z90/MenJiI7vd/LB9X+iX/Dka XBpcZrFS98PeHW7m04s0SHvK2ee14ovp5SdFY9aZ/I+ru5/y9MW3PL/du8MT BYnqvKnxEj5YdMVzWoIvCp6O6KRwsfjgzAvvuK8KREFvz1NBrREiDr/12Ouy SBScutvaezOViE+tFuygHooC/mdajp5zBPzior6H1vEocFH+L9Thijf+XFfG 0e8aBRvO3k/qve+BD220tFu7HQU69929e6/a4+nnupYSZ6JhR+F413tTLuTF mdvZZRQNXL/yWevzBNCU4Yyqv2k02FctlB1m24smXibtuW0VDVv7rNPe+Yuj kVdPp5Vco2ED58cI12wF1NtrEAlh0SDIFfR24RKgB8PGxTYl0SBUyhe6q9AY od0l3L/KokEayzadDjdBbY7fzl4pj4ZZP1rNi8Om6N77S4T3N6LhW83l1tp/ pqhprEfeoyEaAo/596zcMEc1H8wfBT6LhgIbu+3j01boyhfr2YTv0eBqjW+U LjugeN1Ks98/o+Fpia+Am6EjIpX9vBu4yqxf4ziaVuaItG2yU23+REOHIH+s goET+tb+WkFiCx3+jLf8aMt2RtpXDKNfCNNBOpWX606iK5L9WTANe+hgbiO8 Y6jaFe0y/WLSuI8OY62FC7VvXNE8a/L+4oN0MOtur4zd44byg588IcnSochq 1OHEbTc0r6/Ju1OTDnLbf9fwPnJHg1czaEnadIibPtS4Y8odPfo7PrWmSwd0 2E+6YbMHymuIaZ46Q4fnoxp+37U9kJbofccmKzoQRPijrB8yz1eOXbPzoUO6 xpk7ajc80TnzJO5uPzqcFrNaK+zwRIE1/ZGagXTgeJFrXjrmibQ8wgylyHSg 2udp5fB5ofnuusX1KDoEhRzVEKZ6Ia1KGbXSdDowymuUnBS90dbjvPecsujw LL/GyeyMN3rxfPm4SA4d2NrkPzx3Z77fLeJjOQV0GM96wGKZ7o081cwVUyrp 4NJxbbbxozc68kql7vQNOlz6d/XfyC9vNOcmcnRLNR3U6pskLmwnoNCkKdmz tXSg5XLsCVEkoPg34ZIRrXSIONeVFBNJQPpeDjeUMR1abeKkXl4gIM5VdOT7 Qzo8lK3iK80noOw97OKBT+jw/iw5/HUzAdne+Vou1UWH2oosF7lOAtqt9ebA pxd0YN+V+Ii7j4AqiAVinm/ooJpOuuY8T0C+azGlYm/p8Pe36XLXbwKSTfPc NzZAh46rg0F32YioqV5mj/17Ojjefje7fw/z/VaXt1BwnOnfp7WPBYeJSH1o WfjtJB2O8Bew5R0los6/WMh0lg5nxelvd2kTUXJGee72L3SY3NZ+rsSQiIwP XhB4/pUOd4fU3K5bEhFvc8Dl8wt0OCT7QV2J+f7cf9qcT/c7HcLPmbVqehDR lRGVLJZlOrwozW7r8yEiZ5II78NVOognVut8JhHR/k0bMuhrdIhXzDc7F0ZE M9lTO9T+0uHTdfvJEioRVR9+lvZrQwzMF+taoRgiCrpbs72ZJQZGA+Ny3c4R kZJRZkooWwzY3LNl3ZpERKtj4dsU2GPAPv5FsUIyEbWGOCR/2xYDH5+NeEyk EFEsK7DXcMXAr4sXLPkuEZF23sHzvjwxoMBlvacrnYi2SrFvOcIXA6HhFy+x ZBLRi/tfEz4KxMB/VaoH25k43fTN5qu7YmDDTadh1iwisvzQdM51dwycofxu 6GaeC4UXbNq7Lwbyduz43zbKAPl3OBoabysC3dvzY+pboPkLZqcwzFSpd1Dx vzTfGWh/ip5nfZh6vcOfC6cEFXoz7DUP6v4T1qp3SBN69LoJ6P53wUK1F3Xq HZKEJfRygP7b9Ozb7z79eodPl3Nu3Ab6v6zydpWPUb2D3tFdc88Bw8eK58BP TtN6B9FtMbM9qjPs/81bUnHcvN7hb4v4FK+yDPtDhp3fW6zqHZ4bvm6/UpBh 33Ykt8zJtt7h8p7rZc+yMuy9woO+/revdzigejehISXDHgBCv2dY "]]}, Annotation[#, "Charting`Private`Tag$852945#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, ImageSize->{612.2727272727277, Automatic}, 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->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.883720849774865*^9, 3.8837209042718687`*^9, {3.883721147029759*^9, 3.883721206057273*^9}, 3.88372200428364*^9, {3.883722130758728*^9, 3.883722161815539*^9}, 3.883810284796789*^9, 3.8838125900189657`*^9, { 3.883812751688027*^9, 3.883812775823365*^9}, 3.8838129122125807`*^9, { 3.883814393937422*^9, 3.883814417980858*^9}, 3.8838144827763453`*^9, 3.883815422969491*^9, 3.8838154838757772`*^9, 3.8847695351040497`*^9, 3.884770981625286*^9, 3.884771036181451*^9, 3.88477553993146*^9, 3.884779943163752*^9, {3.884780499717718*^9, 3.8847805075371227`*^9}, 3.884782509121031*^9, 3.8847833091445704`*^9, 3.884844593421431*^9, { 3.884844840639995*^9, 3.88484484566367*^9}}, CellLabel->"Out[74]=",ExpressionUUID->"b5fae811-db23-49b6-bd05-0d864af742fc"] }, Open ]], Cell[BoxData[""], "Input", CellChangeTimes->{3.883815422919569*^9, 3.884780512761602*^9},ExpressionUUID->"4110d7b4-eea5-4a31-bb44-\ 0cfe6630cd3c"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"NIntegrate", "[", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"q", " ", RowBox[{"PsiP3He", "[", "q", "]"}]}], ")"}], "2"], ",", RowBox[{"{", RowBox[{"q", ",", "0", ",", "Infinity"}], "}"}], ",", RowBox[{"AccuracyGoal", "\[Rule]", "5"}]}], "]"}], " ", RowBox[{"(*", " ", RowBox[{ "\:043d\:043e\:0440\:043c\:0438\:0440\:043e\:0432\:043a\:0430", " ", "\:043d\:0430", " ", FractionBox["Pi", "2"]}], "*)"}]}]], "Input", CellChangeTimes->{{3.8834727230390043`*^9, 3.883472778461499*^9}, { 3.883472906019311*^9, 3.8834729185553007`*^9}, 3.8834795181208553`*^9, { 3.883482126787499*^9, 3.883482144273522*^9}, {3.883482217276063*^9, 3.8834822215965557`*^9}, {3.883553556768044*^9, 3.8835535750728827`*^9}}, CellLabel->"In[75]:=",ExpressionUUID->"745956bd-cee1-4b9e-be2b-5f3aa5cbb78f"], Cell[BoxData["1.5707974356954326`"], "Output", CellChangeTimes->{{3.883472908023087*^9, 3.883472918894421*^9}, 3.883473756965157*^9, 3.8834757830588627`*^9, 3.8834792781630487`*^9, 3.883479533577456*^9, {3.883482128229415*^9, 3.8834821479579477`*^9}, { 3.883482213433366*^9, 3.8834822220822163`*^9}, 3.883482304860508*^9, 3.883552155575693*^9, 3.883552817559989*^9, {3.883553485870138*^9, 3.883553491492589*^9}, {3.883553566280285*^9, 3.8835535819873037`*^9}, 3.883555220826889*^9, 3.883555267047039*^9, 3.883555362002153*^9, 3.88363813017135*^9, 3.883644174744585*^9, 3.883708442549859*^9, 3.883722006966009*^9, 3.883810298337451*^9, 3.883812786670486*^9, 3.8838129141849327`*^9, 3.8847695385839157`*^9, 3.884771039644198*^9, 3.8847755443882933`*^9, 3.88478051636689*^9, 3.884782513938888*^9, 3.8847833135619593`*^9, 3.884844597061494*^9, 3.884844849793303*^9}, CellLabel->"Out[75]=",ExpressionUUID->"07cc0b00-fefa-4a4b-bbdb-ac3ae446b746"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"PsiP3He", "[", FractionBox["q", "p"], "]"}], ",", RowBox[{"{", RowBox[{"q", ",", "0", ",", "500"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{ 3.883472743984514*^9, 3.883472924970978*^9, {3.88347309426296*^9, 3.883473122916423*^9}, {3.883473518202753*^9, 3.883473535921042*^9}, { 3.883475379960205*^9, 3.883475413817233*^9}, 3.883479540293125*^9, { 3.883482628916453*^9, 3.883482639204176*^9}, {3.88348280564531*^9, 3.883482805868981*^9}, {3.883551977573111*^9, 3.8835519778662252`*^9}, { 3.883553499627589*^9, 3.883553501936421*^9}, {3.883553534820649*^9, 3.883553539257779*^9}, {3.8835535897178802`*^9, 3.883553606156753*^9}, { 3.883555297363455*^9, 3.883555297498726*^9}, {3.883555364375175*^9, 3.883555364607202*^9}, {3.883638118282078*^9, 3.883638143800375*^9}}, CellLabel->"In[76]:=",ExpressionUUID->"84ddf410-1206-4db4-8163-fea78d05a9fa"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV1Hk81PkfB3BJ/Rybm8bM1zkdYpZJo7bDfN6uRK5sKTlLrhImDA1mUiEq IRtDMqNFUdJBkiPHomxI7kFFtsK4DVbY+f3xfrwfz3/er9dfb83TgQ5eoiIi InHC+f8em/lpfdB7hJpY6J7NiMDgQu7FXWbcOqT3TWYxWOhwKb63CvcjqkrK E/UQeo+Z6osk2gBK9HGqpgodUZUnIsYdRryVaD1Zofv6qPko/jsKK82y72Bg sG+hyyaCxkf+NTbbrgv9Pn4Pg0eaRp2bjxdThF5Ju2KzxJlFOfScybaLGJDy WjU2KwkQ88SBEXehXV4Q5ijxi6h54mjKl3AMbtT6NDqs/IvYKrB4TOiKtucZ QbQVVOcWiqsMw2B8cO184sgakv58a05Z6ERBrkYXaR3429smetIxqBKbmZ3l rIfkE56inSEYdEmlD4jyxKC/8vvnpWAMJuSpjXJKG4GSHBgjJ7SaZkKGfrw4 DPZ46qjQMNitTb5KrZOAURaeLBGEga1+13mbFUlQ6j6zcTwAgygjLeNztE3g 1dBETvDHINWsSYdRKA1pb0yvm5/D4NHhAMX4ERkIFlOqm/UT5pEGgj+S5CDF d7lH20eYt3+HxTRHAUZ7dSQEHhgUUH++XjRSBOeSl2WH3IX5Jq1kEZ4irPuW 4ZXoKsy3DMXLKCmDp9H42xknDJjHa/ikeByMi7w313DAQNI59TRlmwokdZF9 pewxuOPm072/TgWWtp8q/mGDQZHXphqrFTxkRHc3sSwxGAh2SvWlqYJ+kOQb ecDAN4wkESStBmRuX0maEQZzjLWosEI1UJ/WEJXdj8Evl3N9YkfUAXOrK+sz FPZvCldtJ2mCzlfMo1dH2K+rfmqSQ4RugycSl+UxYH1ydZIWEKHd/PsvS9IY FH8X1JAOb4GinIWKU1IYyC1r3/ab3wLi6sZ24mIYdKjfNBy23AaM4RR64RwB TvodY3TNaEP3yAPs6EcCXL8wMTRnsQM2jWY4jbUQoCIi7rBC1g6ws1m/PvQd AVQTX2H2FjowaiLS5l5DgM/PVKvfZuoCTy6oObWIAD4/R9ZXmumBZFlw2LVY AqRvYPnz2HrwWMxywjqaAE3SuM6lCT1IMNB8LhZJAB1Nq7zdbH0wlbL1tKUR YEHr+JYeOhkKfxRJWjsToNzidcOR5p3AefDUYJVEAEi+ImUeQgEXxa23ixvx 0DioTBW9SwEtw8DOwBo82JIKgqrrKBCslPBh62s8uDa2de5VMISGST6ZXoQH xooqR++ZIYxRh7QKUvHwwq+MgpvaDd15HXnn3PGgbcJ3HTu3FybLX/pUTqiA 3KxjcbInFR7L9h8YX8CBmqvm0bgEKnhU6kYvTuKA1Di2EPmUCh/nHC+ufcPB ocxLyHeNCs4K7ytXunHANC1ooWYi+Mrla1a+xIHgLVMQ6gcwPZ/K/p2OA098 uyKRawzjqs9n0NRmoL4OPxIlawbsveLya73KwAmuetx/whISvkSxRf0UYdBy oH35oC0YTdGq1XXkweswg3+69Qg4D9YqSzXIgHH5glhrwFG4OfFjA65SCqTK vogQvjiC4ro0Yry3OOhOWwQcuOYEIgvm9z/v3wD7XuHfGIm6gP4CfTS0UBSe WLpvbQh0g2QXQ80PESJQKSm7KhfvATD6P4dDAz8RviyPV1x3CsYfhcnvTFxC WleWaeU4T9AvUbxVEixAbgYSKXE+Z6D00j2OVfssktth82d9thfgzi+4azyZ RoFGdoH+M95gjw07phyZRGbsONJVPV8gS1J9c0THUb08M2djjB+YUj5u2Tkg /HtBv+ZYd56F6Bt/9Fdv/wdxlRRSRWX8oTKGEJo2NozCekqpRM/zwHSs9s/9 6wuqH0riPecEgFFl6CB1+RMy+0AUFe8JhMgYc/pGXj8qCygPGk4Ngiux+XP/ tveieByzl2FAg4PLdEaFVTcif+DcsxigQaL1r0NDHR1oajlbW3D1AhTnN5v4 FrYjf6vyQhfNYJAMuvPVu68NVebvur74Lhist1D4odtb0DvtJk9rvxBQmL+Z 8WxHM5om7F13WSwU6H/bqhVdakJ8VYnl8UehsLHWJfXF8F8o13SOL2NFh3C0 axu3qA4ZhFONfOfo4DarOzV9pQZFtN2PCb8dBoqHEwtU3KrRQMZIyln9cCC+ KcztValASiGxP5N7wmGKKDKNDZchCZqJO41+Efpef0pQ1y1F7ZGuarGaDOCn 5ZDHWM9Ryb9HcyLfMuDJTsVSP62n6Pe7Puq63hGwSi8M0TIvQo3WvYvSspFg //BOpO+JAiTQ8G4uKIqEnWm63x6K5yPk03pa2yoK7NTHW8aU/0RuFWmOvJko mA6XOOlJ4aLfDCNMDyYxQZLVEvcsMQt1RZjobLjNhIS/4zI1GVkotFZCrv4P JmSrL0tmeGWhZ3bpg8aZTOBGVU3kHchCpLMlF43ymNB+osWLPHYXaWRPPqFU MEGX47uwankXSUicwYjfmSCovYtdkM5ED+x01w+NMuHhsar2DcsZ6OCdmR8c PhP2lLwKyfmWga4So1+qzQrvP84KELzJQKtG9xzwq0zQsBHjiYdkoJkLPdfk FFnAcVzidvDYKOlVdmCbMgvSrUpY801spC/i43hLhQWteWcU1EvZyP/mPHGT OgsqcA52N5LY6J98+WpxHRZM/capaDFno6sTvbmNJBY03NvGp+xiI6Ih90as PgsO6eq+uq/BRh61+ifFDFmgz7mhnLmcjlbFF6BuDwt8njpziT/SUZZd1fbL +1jQtPdm+YuudHTgToy0sRELVlgDbrb16aiv33p+DbGgQ1by+tTTdPQfYhHR pA== "]]}, Annotation[#, "Charting`Private`Tag$853066#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.8834729258228273`*^9, {3.883473095599835*^9, 3.883473123190859*^9}, { 3.88347351932442*^9, 3.8834735366214542`*^9}, 3.8834737585433073`*^9, { 3.883475383272345*^9, 3.8834754141793947`*^9}, 3.883475785600163*^9, 3.88347928049052*^9, {3.8834795360621023`*^9, 3.8834795409546947`*^9}, 3.883481049015133*^9, {3.88348213000602*^9, 3.883482149808962*^9}, 3.8834823076685038`*^9, {3.88348262594995*^9, 3.8834826395791683`*^9}, 3.8834828067191467`*^9, 3.883551979062615*^9, 3.883552157232203*^9, 3.883552820474572*^9, {3.883553495490841*^9, 3.883553502250049*^9}, { 3.883553535849196*^9, 3.883553539582345*^9}, {3.883553583678729*^9, 3.883553606637355*^9}, 3.883555222558572*^9, {3.8835552924387417`*^9, 3.883555298109735*^9}, 3.883555365107902*^9, {3.8836381245192842`*^9, 3.8836381448521357`*^9}, 3.8836441765580606`*^9, 3.883708444251793*^9, 3.883722009072154*^9, 3.883810300105698*^9, 3.883812915718704*^9, 3.884769540098538*^9, 3.88477104144629*^9, 3.884775546470796*^9, 3.884780518778693*^9, 3.8847825153977118`*^9, 3.8847833153629847`*^9, 3.88484459858636*^9, 3.88484485147725*^9}, CellLabel->"Out[76]=",ExpressionUUID->"c01d882c-7bc5-41b2-abc1-c061674a0b59"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "\:0447\:0438\:0441\:043b\:0435\:043d\:043d\:0430\:044f", " ", "\:043e\:0446\:0435\:043d\:043a\:0430", " ", "\:0432", " ", "\:043d\:0443\:043b\:0435"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{"myNorm", RowBox[{"(", RowBox[{ FractionBox[ RowBox[{ RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], " ", RowBox[{"Cos", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], " ", "range"}], "]"}], "range"}], "-", RowBox[{"Sin", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], " ", "range"}], "]"}]}], RowBox[{"-", SuperscriptBox[ RowBox[{"(", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], ")"}], "2"]}]], "+", RowBox[{"myCoeff", FractionBox[ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"]}], " ", "range"}]], " ", RowBox[{"(", RowBox[{"1", "+", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], " ", "range"}]}], ")"}]}], SuperscriptBox[ RowBox[{"(", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", "Esep"}]], "p"], ")"}], "2"]]}]}], ")"}]}]}]], "Input", CellChangeTimes->{{3.883553088487125*^9, 3.883553204351302*^9}, { 3.88355330604659*^9, 3.883553336624708*^9}, {3.883554701880843*^9, 3.883554702178334*^9}, 3.8835547380022697`*^9, {3.8835549196871843`*^9, 3.883554920825925*^9}, {3.8835554152361717`*^9, 3.883555450852108*^9}}, CellLabel->"In[77]:=",ExpressionUUID->"dbfa69a4-38ff-4a4c-96a5-19b8ca17951b"], Cell[BoxData["7.120584955419883`"], "Output", CellChangeTimes->{3.88355320708495*^9, 3.883553338644999*^9, 3.883554702930024*^9, 3.883554738336375*^9, 3.88355492156914*^9, 3.883555224381851*^9, 3.883555367634069*^9, 3.883555455167295*^9, 3.883641230673229*^9, 3.8836441782104187`*^9, 3.8837084461065474`*^9, 3.8837220105114594`*^9, 3.8838103037971277`*^9, 3.884769546016932*^9, 3.884771043152464*^9, 3.884775549246008*^9, 3.884780520821107*^9, 3.88478251701832*^9, 3.8847833173302794`*^9, 3.884844600573591*^9, 3.884844853765616*^9}, CellLabel->"Out[77]=",ExpressionUUID->"5c648bfa-22f7-42ba-8232-df618452e3d3"] }, Open ]], Cell[BoxData[ RowBox[{"(*", " ", RowBox[{ RowBox[{ "\:0418\:043c\:043f\:0443\:043b\:044c\:0441", " ", "\:043f\:0440\:043e\:0442\:043e\:043d\:0430", " ", "\:0432", " ", "3", "He", " ", "\:043e\:043f\:0440\:0435\:0434\:0435\:043b\:044f\:0435\:0442\:0441\:044f\ ", " ", "\:044d\:043d\:0435\:0440\:0433\:0438\:0435\:0439", " ", "\:0441\:0432\:044f\:0437\:0438"}], ";", " ", RowBox[{ "\:0442\:043e", " ", "\:0435\:0441\:0442\:044c", " ", "\:043c\:044b", " ", "\:0435\:0433\:043e", " ", "\:0437\:043d\:0430\:0435\:043c", " ", "\:043f\:0440\:0438", " ", "\:043f\:043e\:0441\:0442\:0430\:043d\:043e\:0432\:043a\:0435", " ", "\:0437\:0430\:0434\:0430\:0447\:0438"}]}], " ", "*)"}]], "Input", CellChangeTimes->{{3.881200608210786*^9, 3.8812006318545837`*^9}},ExpressionUUID->"93967aaa-fb32-46f7-b27c-\ 892da0b16278"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"mom3He", " ", "=", " ", RowBox[{"Sqrt", "[", RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{"-", "Esep"}], ")"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.881200816587983*^9, 3.881200826759004*^9}, { 3.881200881516077*^9, 3.881200923308035*^9}, {3.881297678198907*^9, 3.881297685451997*^9}, {3.882421016135722*^9, 3.8824210170180607`*^9}}, CellLabel->"In[50]:=",ExpressionUUID->"fd99e280-b87a-49dd-a288-5fe39a52e19d"], Cell[BoxData[ RowBox[{"0.`", "\[VeryThinSpace]", "+", RowBox[{"82.89392719144146`", " ", "\[ImaginaryI]"}]}]], "Output", CellChangeTimes->{ 3.881205023432626*^9, 3.881205761610588*^9, 3.881297109064865*^9, 3.881297734940659*^9, {3.882090705797106*^9, 3.882090717899979*^9}, 3.88209075798248*^9, 3.882329826488744*^9, 3.8824210175629473`*^9, 3.8828673410587*^9, 3.883105819927225*^9, 3.8834687129164677`*^9, 3.883472616774363*^9, 3.8834729296089363`*^9, 3.8834792828777*^9, 3.883479566953698*^9, 3.8836412327415657`*^9, 3.883644180105177*^9, 3.883708447794322*^9, 3.8837220122198153`*^9, 3.883810641024633*^9, 3.884769548126718*^9, 3.884771044735566*^9, 3.884775550936934*^9, 3.884780523198308*^9, 3.884782519027088*^9, 3.8847833192167587`*^9, 3.88484460253866*^9}, CellLabel->"Out[50]=",ExpressionUUID->"5727cbd4-0e99-4a16-80b9-f12c8b39d2c0"] }, Open ]], Cell[BoxData[ RowBox[{"(*", RowBox[{ "\:041c", " ", "\:043c\:0430\:0442\:0440\:0438\:0446\:0430", " ", "\:0434\:043b\:044f", " ", "\:043f\:0440\:043e\:0442\:043e\:043d\:0430", " ", "\:0432", " ", "\:043f\:0440\:044f\:043c\:043e\:0443\:0433\:043e\:043b\:044c\:043d\:043e\ \:0439", " ", "\:044f\:043c\:0435", " ", "3", "He"}], "*)"}]], "Input", CellChangeTimes->{{3.881033769215639*^9, 3.881033785832822*^9}, 3.881033912603038*^9},ExpressionUUID->"79a457e4-2694-4aff-b91a-\ 36c1c1457a0a"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Integrate", "[", RowBox[{ RowBox[{ RowBox[{"Sin", "[", RowBox[{"a", " ", "x"}], "]"}], RowBox[{"Exp", "[", RowBox[{ RowBox[{"-", " ", "b"}], " ", "x"}], "]"}]}], ",", RowBox[{"{", RowBox[{"x", ",", "myRan", ",", "Infinity"}], "}"}], ",", RowBox[{"Assumptions", "\[Rule]", RowBox[{ RowBox[{"a", ">", "0"}], " ", "&&", " ", RowBox[{"b", ">", "0"}]}]}]}], "]"}], " ", RowBox[{"(*", " ", RowBox[{ "\:0438\:043d\:0442\:0435\:0433\:0440\:0430\:043b", " ", "\:0432", " ", "\:043e\:0431\:0449\:0435\:043c", " ", "\:0432\:0438\:0434\:0435"}], " ", "*)"}]}]], "Input", CellChangeTimes->{{3.8810339163716393`*^9, 3.881033972483519*^9}, { 3.8835525860221863`*^9, 3.883552651904613*^9}}, CellLabel->"In[51]:=",ExpressionUUID->"21c7637c-3a09-41a5-b3ab-b8f8756d6a35"], Cell[BoxData[ FractionBox[ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", "b"}], " ", "myRan"}]], " ", RowBox[{"(", RowBox[{ RowBox[{"a", " ", RowBox[{"Cos", "[", RowBox[{"a", " ", "myRan"}], "]"}]}], "+", RowBox[{"b", " ", RowBox[{"Sin", "[", RowBox[{"a", " ", "myRan"}], "]"}]}]}], ")"}]}], RowBox[{ SuperscriptBox["a", "2"], "+", SuperscriptBox["b", "2"]}]]], "Output", CellChangeTimes->{ 3.881297096239375*^9, 3.882329828068823*^9, 3.882421019139493*^9, 3.882867342790469*^9, 3.8831058221678753`*^9, 3.883468715045041*^9, 3.883472630074232*^9, 3.8834729322842073`*^9, 3.883479285022437*^9, { 3.883552617360506*^9, 3.883552660978874*^9}, 3.883641242649755*^9, 3.8836441901028337`*^9, 3.883708458176134*^9, 3.883722021639851*^9, 3.883810324676392*^9, 3.884769557826625*^9, 3.884771053774629*^9, 3.884775559993281*^9, 3.884780532288571*^9, 3.884782527425642*^9, 3.8848446133952837`*^9}, CellLabel->"Out[51]=",ExpressionUUID->"45f265b0-7fad-44c5-a170-d9c74ce16fb9"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Integrate", "[", RowBox[{ RowBox[{ RowBox[{"Sin", "[", RowBox[{"a", " ", "x"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{"b", " ", "x"}], "]"}]}], ",", RowBox[{"{", RowBox[{"x", ",", "0", ",", "myRan"}], "}"}], ",", RowBox[{"Assumptions", "\[Rule]", RowBox[{ RowBox[{"a", ">", "0"}], " ", "&&", " ", RowBox[{"b", ">", "0"}]}]}]}], "]"}]], "Input", CellChangeTimes->{{3.881200495133235*^9, 3.8812004979799643`*^9}, { 3.881200554925774*^9, 3.881200564433354*^9}, {3.883552698903925*^9, 3.883552710055686*^9}}, CellLabel->"In[78]:=",ExpressionUUID->"2a836ba1-d54a-4276-b9f3-4a104a1093f6"], Cell[BoxData[ FractionBox[ RowBox[{ RowBox[{"b", " ", RowBox[{"Cos", "[", RowBox[{"b", " ", "myRan"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{"a", " ", "myRan"}], "]"}]}], "-", RowBox[{"a", " ", RowBox[{"Cos", "[", RowBox[{"a", " ", "myRan"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{"b", " ", "myRan"}], "]"}]}]}], RowBox[{ SuperscriptBox["a", "2"], "-", SuperscriptBox["b", "2"]}]]], "Output", CellChangeTimes->{3.881200566098689*^9, 3.881205766859289*^9, 3.881297104639103*^9, 3.882329829671001*^9, 3.882421020938382*^9, 3.882867344672193*^9, 3.883105824494817*^9, 3.883472631849029*^9, 3.883472933666597*^9, 3.88347928700062*^9, 3.88355271284999*^9, 3.883644191905717*^9, 3.883708460019032*^9, 3.883722022458856*^9, 3.883810648191587*^9, 3.884769559704506*^9, 3.884771055479411*^9, 3.8847755641952887`*^9, 3.8847805386122313`*^9, 3.8847825313769407`*^9, 3.884844860721278*^9}, CellLabel->"Out[78]=",ExpressionUUID->"cf6e18ab-f129-463a-b5ec-c286dc6be2fa"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"(*", RowBox[{ RowBox[{"TMatrix3He", "[", "k_", "]"}], ":=", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"p", " ", "myNorm", " ", "myU"}], RowBox[{"k", " ", RowBox[{"Abs", "[", "mom3He", "]"}]}]]}], " ", RowBox[{"(", RowBox[{ FractionBox[ RowBox[{"Sin", "[", RowBox[{ RowBox[{"(", RowBox[{ FractionBox["k", "p"], "-", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"]}], ")"}], " ", "range"}], "]"}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ FractionBox["k", "p"], "-", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"]}], ")"}]}]], "-", FractionBox[ RowBox[{"Sin", "[", RowBox[{ RowBox[{"(", RowBox[{ FractionBox["k", "p"], "+", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"]}], ")"}], " ", "range"}], "]"}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ FractionBox["k", "p"], "+", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"]}], ")"}]}]]}], ")"}]}]}], " ", RowBox[{"(*", " ", RowBox[{ SuperscriptBox["Fm", "2"], " ", ",", " ", RowBox[{"\:043d\:0430\:0434\:043e", " ", "\:0432", " ", SuperscriptBox["Fm", RowBox[{"3", " "}]], "MeV"}]}], "*)"}], "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"TMatrix3He", "[", "k_", "]"}], ":=", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"p", " ", "myNorm", " ", "myU"}], RowBox[{"k", " ", RowBox[{"Abs", "[", "mom3He", "]"}]}]]}], " ", RowBox[{"(", FractionBox[ RowBox[{ RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], " ", RowBox[{"Cos", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], " ", "range"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{ FractionBox["k", "p"], " ", "range"}], "]"}]}], "-", RowBox[{ FractionBox["k", "p"], " ", RowBox[{"Cos", "[", RowBox[{ FractionBox["k", "p"], " ", "range"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], " ", "range"}], "]"}]}]}], RowBox[{ SuperscriptBox[ RowBox[{"(", FractionBox["k", "p"], ")"}], "2"], "-", SuperscriptBox[ RowBox[{"(", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], ")"}], "2"]}]], ")"}], " ", RowBox[{"(*", " ", RowBox[{ SuperscriptBox["Fm", "2"], " ", ",", " ", RowBox[{"\:043d\:0430\:0434\:043e", " ", "\:0432", " ", SuperscriptBox["Fm", RowBox[{"3", " "}]], "MeV"}]}], "*)"}]}]}]}]], "Input", CellChangeTimes->{{3.881033977845848*^9, 3.8810339795737133`*^9}, { 3.881034299194148*^9, 3.8810343272795763`*^9}, {3.881034608568304*^9, 3.881034692687162*^9}, {3.881034784166951*^9, 3.8810347952400923`*^9}, { 3.8810348409016333`*^9, 3.881034881737472*^9}, {3.881034935763405*^9, 3.88103495049362*^9}, {3.881035061115604*^9, 3.881035092839991*^9}, { 3.881035468416505*^9, 3.881035481765575*^9}, {3.881037944040091*^9, 3.8810379482351933`*^9}, {3.881037981288925*^9, 3.8810379843458767`*^9}, 3.881038021731368*^9, {3.881200578723695*^9, 3.88120059045376*^9}, { 3.881200948721171*^9, 3.8812009940828753`*^9}, {3.881201567326044*^9, 3.881201588162565*^9}, {3.881201755288425*^9, 3.881201780770088*^9}, 3.88120234175987*^9, {3.881297769505846*^9, 3.881297778077227*^9}, { 3.882090823944269*^9, 3.882090825369204*^9}, {3.8820909020622263`*^9, 3.8820909232220993`*^9}, {3.88242290969197*^9, 3.882422920378888*^9}, 3.883473253871093*^9, {3.883482453547862*^9, 3.883482478458909*^9}, { 3.883482510803965*^9, 3.8834825189751062`*^9}, {3.8834827231464853`*^9, 3.883482723661664*^9}, {3.8834827542344427`*^9, 3.883482754813789*^9}, { 3.8835543507923527`*^9, 3.883554361931973*^9}, {3.883554415089562*^9, 3.883554418297936*^9}, {3.883554453655249*^9, 3.88355448079436*^9}, { 3.883555120149898*^9, 3.883555136186659*^9}}, CellLabel->"In[79]:=",ExpressionUUID->"3dbd2157-139e-479f-a496-5c8a60d09330"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "\:0447\:0438\:0441\:043b\:0435\:043d\:043d\:0430\:044f", " ", "\:043e\:0446\:0435\:043d\:043a\:0430", " ", "\:0432", " ", "\:043d\:0443\:043b\:0435"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"myNorm", " ", "myU"}], RowBox[{"Abs", "[", "mom3He", "]"}]]}], RowBox[{"(", FractionBox[ RowBox[{ RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], RowBox[{"Cos", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], "range"}], "]"}], "range"}], "-", RowBox[{"Sin", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], "range"}], "]"}]}], RowBox[{"-", SuperscriptBox[ RowBox[{"(", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep"}], "+", "myU"}], ")"}]}]], "p"], ")"}], "2"]}]], ")"}]}]}]], "Input", CellChangeTimes->{{3.883554585129315*^9, 3.88355459015775*^9}, { 3.883554759551602*^9, 3.883554764717204*^9}, 3.883554794748934*^9, { 3.883554831789584*^9, 3.883554865191403*^9}, 3.883554906168315*^9}, CellLabel->"In[80]:=",ExpressionUUID->"b024508b-6d27-4ffa-ab07-de4ed8a4b834"], Cell[BoxData[ RowBox[{"-", "0.4718922843178722`"}]], "Output", CellChangeTimes->{{3.883554853046928*^9, 3.883554865596673*^9}, 3.883554964408291*^9, {3.883555153142915*^9, 3.883555160597527*^9}, 3.883641242822588*^9, 3.883644196431122*^9, 3.883708469410604*^9, 3.883721104568775*^9, 3.883722033276618*^9, 3.8838106545924997`*^9, 3.8847695683439903`*^9, 3.8847710590365877`*^9, 3.884775624079982*^9, 3.884780543215971*^9, 3.884782535286302*^9, 3.884844867552917*^9}, CellLabel->"Out[80]=",ExpressionUUID->"ab524278-5280-4533-bdb0-719f22f75b42"] }, Open ]], Cell[BoxData[""], "Input",ExpressionUUID->"bf441233-f9c9-4a42-9b46-8f57bbd8708a"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"TMatrix3He", "[", "k", "]"}], ",", RowBox[{"{", RowBox[{"k", ",", "0", ",", "50"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{{3.8812015487577887`*^9, 3.881201561277553*^9}, 3.881205988917266*^9, {3.882421421644279*^9, 3.8824214264649963`*^9}, { 3.882422925136129*^9, 3.8824229409038754`*^9}, {3.8834732509337378`*^9, 3.883473251891506*^9}, {3.883555002964867*^9, 3.883555024582602*^9}}, CellLabel->"In[81]:=",ExpressionUUID->"5f437c91-8022-415a-8eed-7828551b0fce"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwd1Xk0V08bAPAvP1uiJFvllaWIZImEME/WG5WUivwsiVCybyFbElmjopKl RNH52pLKm0u2tCcl6V4SRSVLlhDfd+77x5w5nzPnzMzznHmekXP13evOzWKx ruHBzPLpCzfyZCqN3tlIVUVo0WStgPLaE57p6LmXSyXjxjB20QbPfGRYr1vO OEtn4F/htBK01rqwjHGrhr8Hn2c5ipW+Usw4Upxzn1NQjewUFQoYX8o0M/qb WouKvQ1yGJcvT2n6E16HfEYH0xg/SekgpjxIVM1eG894LF7oW1hpIwopHQ5l fKqpXHmmoAlV9JscYyzIvc87OLsF+RxUc/j//jDN/p3ahsoEblsyVoi+PO4f 346OTVfrMq54ZKA9Fv4Mlcpar2fcrn/6wU+PV6hJRWcuHLvMYGXUlvLXqFAw rp/xeI9bflDpG8Sv5NTOOGq1QP9EwVuUIt6Wybj5gf0/m3M7EfvbvmDGgvZl 6/yz3yH3ab8DjLOzd3uMpnahO+0OYoxpnYJEtaQPyCRNefwk9rr347dPxHej 2PSzzxlXiF38+SO8B3EsJqMYPz3f4z/k0Yuizmd0hGEn5lxqz9LsQw3b+m4w VvVEh7TK+9Az+YZAxgH85yMCSj+jPSUayxkvmmnXjxV8QfXnOrVDsQvFqd0Z MgNocE3xXAi26eCZXvXcAcT9nZ9knBzfxfLNHkTbDCNNGEs1hZuMpH5Ddg1K 24Kx6zIVOlOWDqEJvYipIGwn1+duqklDqGrMic24iEsm4Xj8MOoT71rDWBMa nwyH/0AV6NxgALblI/7dXz1GUbLUXy0/Zp3jOiUxNooaXENf+WKnyDq/VDAY Qx4Bxl6Mg1wfBts2jyHr/rZsH+a+X/2aazrH0RfejD5v7P4R6nDY1G9k7Sku 54X9Pi25JkNvEu0SSS30ZPKnrrfk9qlJVBxlK8u4yv9CRTfvFLrO7pDywI6d suToS0wjtmPKlBu27EJt7oLOHyTHP+Xogi2W5z4mHvEHNUl7NTljC6CVpmrk H9Q9q6rEeDTG54eTxSwqEywadsSu51mv33BwDm1Jsj7kgO0olNkVF/YXtS3N /b4f+4WwzhIeRxY0Pl7atgO7w0o052UkCwyq7HgYf0j6pXg5lwU1L1WBwB7g LTFV+8SCibRj1ebYfxckY+wcuIBX3SDRBFvl1+z0HXtumGXp/jBg3sfLRwP7 D/CAQEbmJTXsNKErgbIhPBBv1VK0CfuCZQj3j4s8MKkTXamKnd+qJhvzjgdW 5yW2qmDfq893KLXlheiKcVoRe5Ad27G4lw88FqTbZbCN080aSqwFIIjzIU4Y O8by7u0OHwFoPljgIcTEz6uQtZAqAHTCguVSbP1I1tF9zwWgz+uk8BJsLa+6 pRxiCfiZh8byMO/fRPPgAWNB8A5KXj+/mSb5ZqR/8WwRAvdYCadv2KZVyV3q tkKwajRH/Ct23Im5hkOBQpC6tfLZAPbil66sikohcLS/odWPPfM6U+9fNWHQ Hkid+IQ9VCpwplppGdzfEqnage2uPiesKSwCvq31GXXYO3vO3pSSEYGqY0bz D7C1z4obstRFIHF8pdt9bJ5eDe9Xe0TgfkmDRg329TSPpycuiEB5new9Nnbv SGdC6ZoVUMye9yvEtr9TzlFQEQVnTZmSM9i7lN3HJSzEoKlbTnwH9lxycB11 QAzuXLLdaoF969eZM0VHxcDcQMzOjDnvbvGqzQliYG2sf3E79kOjoe27WsTA G8kt6mEr2h7PPG0iDpobHc6pYLOi/bXGkAS8NoxJEcSu6jwV3K4rBY0hV7e2 atLkNlGVcp5oaeA66aQjg+0xn3ntpp0sKNKrnzhp0KRv6zet8l3ycLFqOv2C Ok2eO8S3fsF7HfTeHonMV6PJI20RRzU9FeH3UG/49U24//OvsjluvwGiHUIa s1Rx/a6IuTQcpAJvrepzbTfSpMtvQ9Xd3qpgJ2r1V1QF95u8FumZVDXY3Nbi lLuBJqvT9Hs69mrA/t6kvaJKuL4fGu65tlMT3khmOievp0ny6c2JJIfNEOd7 uLldgSa9LPQeedlpga3B1Jpl8jSZe0uz5vgxbbhXfEt3pSxNnv/9KNYvdAuY 3bT+D78MTX4tDQ7xDNABH8ewdD5p3J/NM3Pi4raCzWDhmsZVNMll/bE/PUYX 2AfGV5yTxPnbfo+r4KQe6NuEJFmI4/qRnNnVcVYfbDfVZz8UpUm/Q0cez5ze BgkRZae3i9Dk51htN3TRABZqT0efFMb9Ievyx6RCQ5jvofYUCdJksYjKybar RgAuLllD/DhfAWvNlMoQKFd8tvzAQ5N5sgXShrYAyw6U7xzgoslHkXMsz9cA 2xJN3w8tUqScFf9fhYPbwdfIzjVrniLvvlJO7u7cDldrUm44/6HIlNZFDVlH YyADlX1eTFJkVuDwMZdPxmDoPfTEeZzC/63Mcnl7E9hE/Pz8c4QibyvzPg3q M4G4wH4xie8UyTfJtarRyRQeVqiaeX2lyBKNyqi8b6bQzT8sZdtPkcqupbsX TpjBxgt9Qro0RfbseFC1/4cZkHpJSVYfKbLjRvgmFGgOadq31o+/o8g/1TYG 8hPmEMjXvbb9DUVy7gfUJPhYANQLDua/oEgrDXOzyCkLkA/55fNPO0W2Oap7 HQ8kYIzbrTavmSJFj3jWXQsmYN4o4us5bCfPQuHXoQRk5nSuDMWeDlhZpR1J wCB7l5c19rrEmbmFeAKOV9pzOE0UGVNFpmRcImCTfU+XC7Y+/56KmgcEzORk 68s9psgEoSTuoToC6NwZTWHsNyse266uJyBK9IrSbCNFekprz0Y9JiDIsVj4 DXa2ppQx8YwA5/9+ao7BnnToe/vxEwFNo497exsoEg6vUhTuJeD3Tqu6Z9jJ R/eGoc8EmJtLXKzFlvdvli4aJGBCMsgkHdsm4Zb7iV8ETMdaJxth5yZ/rs0f I6BGcMROBXsoY7VgxwSOz/TFOgnsmKspbJ0ZAvQ/7K8dISnyeUELy2uWgEqd xVPd2JLFi3uvzuPzbIaNW7Bdy7befLFAwFUVSb5KbHaF3wyHQ4Bby9m2XOz/ Ac18+H4= "]]}, Annotation[#, "Charting`Private`Tag$854264#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, -0.46442719450540115`}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, ImageSize->{559.7727272727277, Automatic}, 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->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.8812015630303907`*^9, 3.881201591546351*^9}, 3.8812018022929296`*^9, 3.8812023460460243`*^9, 3.8812050330769033`*^9, 3.881205775010165*^9, 3.88120599045111*^9, 3.881297111623495*^9, { 3.882090700825438*^9, 3.882090722076212*^9}, 3.88209076758456*^9, { 3.882090806567244*^9, 3.882090827735465*^9}, 3.882090926856447*^9, 3.882329834861843*^9, 3.8824210246961184`*^9, {3.882421424311038*^9, 3.882421427395227*^9}, 3.882422942256439*^9, 3.8828673483991213`*^9, 3.88310582824716*^9, 3.883468719240418*^9, 3.883472635429822*^9, 3.883472937376811*^9, 3.883473261103238*^9, 3.883479290650078*^9, 3.883479572045383*^9, {3.883482514947854*^9, 3.8834825219709063`*^9}, 3.883482727811558*^9, {3.883555003820224*^9, 3.883555034254137*^9}, { 3.8835551555269527`*^9, 3.88355516211535*^9}, 3.883641244931951*^9, 3.883644199397297*^9, 3.883708471353747*^9, 3.8837211081075697`*^9, 3.883722035374963*^9, 3.883810670141837*^9, 3.883814402300542*^9, 3.884769571462653*^9, 3.8847710607538357`*^9, 3.884775625849698*^9, 3.8847805452396383`*^9, 3.8847825371915703`*^9, 3.8848448692110987`*^9}, CellLabel->"Out[81]=",ExpressionUUID->"a1617e8a-367e-413c-a3a3-f91c30c4809f"] }, Open ]], Cell[BoxData[ RowBox[{"(*", " ", RowBox[{ "\:0424\:043e\:0440\:043c", " ", "\:0444\:0430\:043a\:0442\:043e\:0440", " ", "\:043f\:0440\:043e\:0442\:043e\:043d\:0430", " ", "\:0432", " ", "8", "He"}], " ", "*)"}]], "Input", CellChangeTimes->{{3.881038328963751*^9, 3.8810383435032663`*^9}, 3.8812010317751303`*^9},ExpressionUUID->"5afa8d22-b29c-4441-90a8-\ 81bd28869b4d"], Cell[BoxData[{ RowBox[{ RowBox[{"myNorm1", " ", "=", " ", "0.6514573663189586`"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"myCoeff1", " ", "=", " ", "25.351749791847226`"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"myU1", "=", "35.89034438287419`"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"mass1", " ", "=", " ", "821"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"range1", "=", "3.735"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Esep1", "=", "24.81432"}], ";"}], " ", RowBox[{"(*", RowBox[{ RowBox[{"1", "p", " ", "separation", " ", "energy", " ", SuperscriptBox[ RowBox[{"for", " "}], "8"], "He"}], ",", " ", "MeV"}], "*)"}]}], "\[IndentingNewLine]"}], "Input", CellChangeTimes->{{3.881038361675716*^9, 3.881038510654389*^9}, 3.881038542239026*^9, {3.8810385811464567`*^9, 3.881038582638068*^9}, 3.881202373054678*^9, {3.881204956477566*^9, 3.8812049617064857`*^9}, { 3.8812051557204742`*^9, 3.88120519865994*^9}, 3.881205241019328*^9, { 3.881205781955861*^9, 3.881205790558261*^9}, {3.881205869160103*^9, 3.881205874137602*^9}, {3.8824212226474*^9, 3.882421226902269*^9}, 3.882421273134424*^9, {3.882421312846766*^9, 3.8824213351452217`*^9}, { 3.8824229615522623`*^9, 3.8824230104073553`*^9}, {3.882423141890733*^9, 3.8824231435749474`*^9}, {3.88242332196012*^9, 3.882423328788576*^9}, 3.882423489257834*^9, 3.88347327550917*^9, 3.883479579677216*^9, { 3.883553641142914*^9, 3.8835537245189447`*^9}, {3.8835540039421*^9, 3.883554031665704*^9}, {3.883554073329533*^9, 3.8835540897355003`*^9}, { 3.883722935484701*^9, 3.8837229451382933`*^9}}, CellLabel->"In[82]:=",ExpressionUUID->"61d6b91a-da6f-40e2-b99d-e31866f61d8d"], Cell[BoxData[{ RowBox[{ RowBox[{"PsiR8He", "[", "r_", "]"}], ":=", RowBox[{"Piecewise", "[", RowBox[{"{", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"myNorm1", " ", RowBox[{"fIn", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep1"}], "+", "myU1"}], ")"}]}]], "p"], ",", "r", ",", "0"}], "]"}]}], ",", RowBox[{"r", "<", "range1"}]}], "}"}], ",", RowBox[{"{", RowBox[{ RowBox[{"myNorm1", " ", "myCoeff1", " ", RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", "Esep1"}]], "p"], ",", "r", ",", "0"}], "]"}]}], ",", RowBox[{"r", ">", "range1"}]}], "}"}]}], "}"}], "]"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"PsiR8He1", "[", "r_", "]"}], ":=", RowBox[{"myNorm1", " ", "myCoeff1", " ", RowBox[{"fOut", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", "Esep1"}]], "p"], ",", "r", ",", "0"}], "]"}]}]}]}], "Input", CellChangeTimes->{{3.8837230413164587`*^9, 3.883723061116477*^9}, { 3.884775643754422*^9, 3.8847756614859943`*^9}}, CellLabel->"In[88]:=",ExpressionUUID->"fe2e92bd-99ee-4847-8c87-958f9c8e2ae0"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"PsiR8He", "[", "r", "]"}], ",", RowBox[{"PsiR8He1", "[", "r", "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "10"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{{3.883723094703141*^9, 3.883723098630258*^9}, { 3.884775666884411*^9, 3.884775682862565*^9}}, CellLabel->"In[90]:=",ExpressionUUID->"11a1b2f9-f071-4cbb-8745-8b989c037646"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV13c8ld8fAPA7kJW9173ulT0qpaF8PmWkrAjJzAqVrVIJyUiIZCYjKlpI 0ygjI1vIV2WU+1BpKSqj8ru/v57X+3We57ye1/mMc46iR6CNN4VEIlWTSaT/ P/MjPbjWeCUZUPLesZY8ww2aB+jme+l+0PLe26HUzR6WW5+eodOPw7OI13tD 3Q5AfkMKjZOeCMGfyoUt3Y7C4a1H/H/TcmH0p/1eAbd4GFjyzZih3QCrU6r0 za5ZsOLNhMoXWjXcuGjx/J/jdbjSURj8idYOyilrxhQsH0J5ReKbw9qvIeZ3 nNwDShv4wIvczyEsaDIT2yE60AcBk2qs++UfQbE74fS2Jy+BVzFWZXzjDHwv LtzLW/wazgt1ql/ZPws61qd1r98bg+oN8g8sA2YhWlyZLNc8BoRrIPw5OQty Tl6WCYNjoH9H1HZv9izErDSxNvg5Bh92Op9a2TML/yQznLX0xsHwzJfe4/pz cCPm633eh+Mw/1PwiI3ET7ht9tGox/4teLyxrad2/YLAmjrSqa3vgDfvnX/w q19g1kOT0TV6B1WOAXLjU78gJ9IojrXrHVBfJxyvIf+GWJ4VproO7+DqcI1u 8IbfECBuuv18yDuYekkvGyv+DRvSi5VXX38HB/s+p1UfnwcIb14Q45kAkbTj oJIwD65JoZrCghNQY8X1NSNjHvK+rwpYIT4BfL00s6CKeThIeyoxQZ+A2902 nCqT8/A7y6zVauMEfO14fDxj9wIIxnV95z0wAcEtsR6BKotgIM93YrZuAhQI E65fuovgvzDKHGycgE4Kz80IXIQH2bKBFa0TsApTvifuY49TdhJ2fRPwqiYz +mrSInxVfsvwYE3AtsrrBa++LcLZLeWNR7lZIJz3/LXh4yWAvcPOCZYseFp9 LrKjeQnMR44WVduw4NCwOcP6xRII3uJ0nrJnQYv4Cz/X6SX4tKilp+PGguNp r+bD5f7AZr5su8hAFryLm5Yoj/4DaziDtgqnsuBuEP8eqZ1/4YSg5TS5gwVd l0SP37H/C9GlXpu6ulkw1SxTuN3rL6hGk8ZSX7BARlrt0+GovyDb9JhBfcWC 2EbjM40P/gKdE47lvmeBvUjUvYOMfxBvVbwllkpA0Jb4V8s6/6Bn9dfdLC4C zh1IWc7Y+g8aPyeU6vMSUF+TZ1bv8A9kDJUlh4UIUPV8zBJN/Qc67RLv6uUJ WLz3XfTJ0j+QjI3R2aVHgNjY/CYbnmUw0k+c2rKJAG1u0v73Esugue5Tj+oW AjydBW4Lr12Ga1sGdT5vI6CLQ8PogO8ysOy3SypaEFBg5xUm+HIZChzsb2/3 IOBx1KFLVyeWwVFQgvu5FwEDN0IaNs0sg/zM2XgTHwI4opCripOETkPaH7QP E7BxwNJmhE7C9TuSVO4cIeDKyUPTq/eSUP1l0ZRrAgGrG3jmE1xIKHfzyQOb RAIaOMo4xz1JqCSWF4lJBLxNIegpQSS8RbFf4kklQKHIZe/HRBLm9ntesM0i oJxY8sI0EmqdFKJJ5RCwVe1SSHYWCe8Hqha/zCXAuWooxbiEhC+2Xog3yCfg UrNV85U6Eh5tPVjTVkKAOs/XF/NNJByoT5x0vEZAtUXyuFU7CW+qrKZ8uE7A 8NDzxb8vSbhByFBg5gYBEh+3rXH8RkLrIF3vRxUEpK9cVyDCIONH7+t3GTUE MGz6b/mpkpGpFddkW0vA3ayg6gZtMj7lOv40uo6APtqdwQB9MrY/3na09SkB AmuV+TptyWgbozLC/Yy93kebpRhOZBTqCNnC20yAVq2H8nF3Mp5XMI7jbCHA 3Khwm0oAGY3f7Ov92MrOD3up8DMJZAw0uLrVr4MAmbyHca9TyPiFI+L1pk4C bozbXlyTQUaD1fUuHF0EPPe9UD5eREbVsTyJhG4CHO7o1OmVkrHo6zMz6CHg /ffu9pQ7ZOyKCjvwnW2uk7yT+jVk9P1eaGbYR0BWfdmP9AYyJlc9EmexvYpj B2m6lYyvHlxojnhBgFHKGdmcATJ6zb/qze8nYPCFotq3V2T8enhWY9UAO98k GvRM3pJx//lVh6+zHVP4x3ruMxn75rfmZA0SsHv142CNWTKOvd/rRX3Jjndj 6AWPBTJiw8zug2x/tta5m7tMxrJTn1w62a6ZmO7r46Rg5TPNJOUhAs6GXp9Z wU/Bj6OXhk+ybc/hIQQiFGyvlzfpZFspU371USkKDnMUDoj9R8CPVa+s7ihQ MGuG57QD2w0PMwIJJQqmBphZZrF9fsfuVFkNCrqJ2Oj3sO08zFdhs4aCDyQF TEnD7Pzxa+tJ3EBBV4/gME225xdivjZspaB+ZGCDDdut5wwE5g0paFv4VyOU 7QzZRS2dXez/uSLyKIVtj9sPLA7spuAMT6l7Mdurtwb759tTEDkeaNxl+1+3 ZsqgMwUtvTeK17Dd5frhNp8nBb/d0FZ4wvalbyVd2/0oKPA7y+T/477Rbp+P B1LwhXTI+f9/rycsy3/3CAVjEpp+/n9+juIhjQ8nKZjukhxxnu3+telmtBgK 3nB/yQhju+iZxSH7sxRMJl/7sIftAFuepJTzFFTaw9GjxfaWyeabzRkUjBP7 109mm/dodMfSJQqO3ir43cten2GuLdNrr1DwhMqcfg7b17N/8xwspWDLVoEi R7bDVO+pXblDwTUW/5iSbG+rDtg5fI+CVs7/tXWz4yOwS91PsIaCt6XLkyLZ Hnk9edakgYJv3+QEqrEd/sf5+f0uCtKF+XP82fE3SZH68KmfgrrH20e42BZT GFzBfEVBWh/H9kvsfKoEsx0XJikYdig4oIKdb5F9XD7PP7H/l0WsX8O2uXtT /PJ3Ckrfc1S4w87XDzGbWv3/UdBjlmVzkZ3P9FYV412SVEyde28p3UvAV3uW 12l5Kp6JH2UcZtdH3fuC2MdMKppXaElX/7+eeCSalVdTcfOeG/7b2PWWZs5h SN1JxcF9S7V87QS4jtZ7bLaiom5saZnOcwI0A07GBNux33cKqrZoY9dn6o/G cXcqqkc5mIaz65008BbrTlBReNUEI6GRgNiPT6+cOE1F0ePa270bCOAh5VM2 naVieujeyC31BIho7Wt+kEnFnIJOyyF2v1mV8GJHRSUVjdLTnR49IuBmfkWZ /yMqbh3j8Xd9yN4P7qfwaD6lYkr13YJ/99n9+t3OzrJOKt4I9vVSryJgl36T ZfEUFa1ZrfE6twnosS6q2P+Firm3VpQW3iRgj2+kEG2OigbfXD9xs/ujc+bm /jwyB65RDpxoZffTgG9VdplyHMjt55c7U0DAxZIS57M2HGgnNHB7id3PpWpO PzHZx4G/Ltfa/Esh4HKfmwLnfg4M1NFXXmT3/+t/Zd+e9ufAk9PlDqPs/eLx 3gzPk2c5cDvv/X/WUez84Is7GPCUA5WCFmbm2PvNfoZnp2YLBx5tvtBy7iAB kxu3aX7q5MCADXED0r7s+Hn//eLzigOf7H9SwPQkgNxwJNh9jgPFpip4phwI UA47EG6rzoliBqwfyobs/rt5fE/hak7srxpIO40ErCM56EzrceK8z3Xboa0E bE/eORVlyIm6izzWARvZ8b2qaXvLmRMjlbvWOmix++XgDx1KKifK+g9biUkQ wLk+6n3FLCf+/qL2U5fFAv6l302LC5wokh37dXCcBSKNQQXGJC58NF6pFjTC ArqFh90bfi6spR/2y3zJgi3exs+4lLmQ/mGXel4bC8Iy+QpdHLiQ1E7JyrjJ AuJntj3fEy4MKcg4b3KYBcXbdENHn3Hh8mui+5UPC9xSelIrOrjQT/vM0QOe LHitxNm+Z5jtG494Djuy4MWeEP3Ls1x47OMbD1VT9vnprjldS30FklLAwIfB gmx/8rRl9gqUuSmxzN0/AbbVl7kUC1ag7bey6K4u9nmRcyNz9uoKHOPTLkps m4DzlwOcs6tWYCJjY8MM+7wX2/mmZ7x7BfoZDT8MKZ2AILWH94I4uDEbnkrv ODkBuyYPnkoP5kaXx4oUUJgAk1PM20bh3HjhibSCvdQEbBcfef0rkhsNd5ta +ohMwGZji41OydxY8Udg9hjXBKhf05lllnJjUr1knM3Xd8DnPef7YIQbQyaF z36tewddxCnb4R08mEe9Z9dn9w4siTQNBQVePObpnH3v6Fvo0iAGnZV4UVwR u8YC34JZ6IbIPHVebBG7uIfT7y2YUsb6pDbw4hdZW3cjp7ewna5xVHQ3L8b7 alSeg7ew3rmlgTuGF883tw9tWvEW5AYX7GYneZH45da/X3kcpp95RD+/w4c8 i3+fvtcfBW3hIXlDt5W4pywo58nVYZhKmYrJ9F6Jz5lk27T0Ycjn/f3+/aGV qJbdSThFDwM/h1RVcvhK1K+1yBt1GobpX/tMhi6sRL8qve9JIsNwbWQ0wK95 Jf7JfT2TE/kfyJVN1qeqCaCux/m3tL1DwAs/3UdmBVBSJrQtfM0ghG9T5X64 KIDe7etO9NEGYcrQqTyVLIjiBfn5GwQGocm0cXG7oCCy7zGkdZ8G4IRNysUb 6oIoWT7zlHVtAD55r2o56i6IsqlxyaIKA9CVbKcq3CuIRS1UNUfpftjxxfE3 w04IOyTCNr7c2AcFYmcGohyE0Fvk2OR79T6Y079VMeIkhCsjfBO45Pug6NyS T5aHECoNCp72IffBosrlYZ4gITyk5OgckNkLtz1Gq2fOCWHxkrART30PCA27 RTxtEMIlx7uxysxuGG7yIjtqCmOELl/sR/UOmNn2WuaUjjBS0qyzZ8U7YEWj 1bqitcJYe6c1TIDcAXr1m32mNgpjh02Ew9H/2iGjVqg7xFgYZ+6qWqyMawer +3U5Sa7C2K/F4WbOeg6t18RWP0kTRju39cT9W23w4GyzK/2nMBp0mDtH+rVA 2a5OqYR5YRzM8Yqasm+BS/z9/V+WhDHM5HGbq1ELRKeNm9RSRHAbJ19aFK0F zHMWte2FRJD/R+fx6KFmmChdvZykIYKPDZNvh+5oBoG2y4W/3UVweT69p3Hd MzjAeeRtT48IRvUf+qu7uRFkaO3/Lb0QQbvlNM4tmo3Qs1G+V/WlCMrWgLuV QiPoHW55EvNGBHkF4r5mUxqBa0A8T++DCK60dnGv6GyAa0UP7QrIopj44kXL N7cGIPTnO/zXiaKFMNe77/R68Aw5+YD/kija7kyNukOrA721Yw/U8kVRO7JY 04anDnh/4EOTIlGsYB4q5J6thcpgrkfR10Wxcv5q/s3WWvgTdOHxXJUoJpm/ D20MqIWswNLakU5RDPU56K3dVAPthwcab/8VRavM4LjrR6pBx0ejx9xdDJ/s 3rJPn/8RjPnRAu94iaHIj/q7TvMPIfmwqJCArxiWXQatFOIhfAxesu4NEEPt FCUb5pOHUBLR+dI6Qgx1T0w9lgl8CJLph0bts8XQViTNUm3oASzX3fq8v1sM 1/FlN3lU3odeEU2+I5vE0UXQoN0+vQoM/P0/5m0RR2ro6uteZ6qgvK28rQnY 46Y7z0WGVcH5iDWxQibiOC1isG3IvgrMp/T+3rIRR+1UcRcxuSroqN72beKQ OH4Ra/zTVHYXWvbvHdhdII4v+FdMl3VUQm15TJ4mVQIbXQqDrVzKgcvcTiab SwLtrQR2D24vB+uPKrlkXgmsG802CVIth/fM7qwhIQn8dCZC48vsHRDNlUyP VpBAQdrnq/NJd+DQmdtnBzdJIGeKnohxw22QdRg6EhEkgXRRmo7Wpltwkqy+ u2tUAludElM3+5bBlBHfsPI7CTyxR7DFdk8Z7D772e00IYHmmbTxaIMyUBKs CNT7JIGfT1w9IyBeBl1y61KL5iVwV0wM8bepFBQ2GvSEiUqieLf4BI1RCk0B NubyOyVRZe7rTt4v14B35IRpwH1JPHLzat7hqhLQO3ZjZeojSfTZuwh3i0vA XWS4v6JGEgt3fQ+jXCyBx6brXb43SGJq3nXfjtASOPDgW3BYtyTWnVHZ/219 CTSe98o7MSWJTRe3fI+tK2b3K8uv8VJSKJL3AfP6r8DkdcWMwggpTCwzwBB6 EXyOfbdAjZbChw4v350QKYIfHlfcfM9IoUtLT14qRxGQaIoaa85J4Vt9adea F4Ugk01vasqWwsxNRm6CXoWwO4E2M1nFnu/nL31GSgHU+ciba36UQr4WYrvb zGXIUJXmqLaTRl0z7nb+37ng7KpcynKQxoMhmTECE7mglKG7S8BZGh9lOaxX 7M6F+8sWaZ4e0silUWp1vCQXBodi5AQCpZG5YfTVj925IBr3eZ3nWWnsFXSI WC7PgfR39d4ra6UxrjdvmnEsG9IuHWhzp8ugo5TG8MC6TDh2NCY0gimDRN7c Sw6lTHC1KaBlK8tgINVH2VA0EzR5h451acqgoa9w5vvvGdB+3Fh1wyYZ5F83 cqanIgMo+5QS+W1kMHiLZyafdgYckZzY9eiMDLZeOlu8pHsRHDNcevjfy+AP LfUXmZ4XQO4er+yhaRlU3UUvumJ7AcZfPPJp/yKDkwY6ZjXGF8BLUIQcPyeD tlNePCKqFyDgXKvuMlkWQ73Gfuz7kgYx0Tq53+VkcSjR9N+2E2lw4zDZa8hG FvWPrv5lvTkV5o2uLRQ+lcWgjfw6wJsMEbWFZ5obZTH5Zje1fjYJSGsvrfzY LIvmTp1Tu0eTYAUtVXFtpyzmV6Tn36xMAomF8J3N/8niRHmE/jqHJNC9Y577 YUYWr400tF28eQ4CxOc2rmHKoWP8rw8M50RgTW4Pb0qQw4e95/nzvsXD9sKe YvUkOTznbMFR9iYeihwcu9PPyyFXopB9a1s8uHYGMzwz5ZAasadTrygeXlcW dVFL5FAkPnDfpHU89J/8Rzd+KoctxzJEDz+Ogybhmva2OTlUXXNCvPZCLBRv XSPb7S6PUPp7zC0kBposec8secljiqUq1cszBibcWNNqvvIY9VluT5htDDBj MmviA+Qx6WaPZbVeDFxtXdiHJ+VxrC2ieGDpNFyzasq5lyGPRw6bGmw7exrK 3PdIXGqTR7WLlQtPbkTDnbgjwj5aCsixOVstQSYSPm9xiYlbrYAbrveNp1Ai QXPOaLZEVwErKgvvlE6fgpseYi/fblLASNtNe8RqT0EZ3MtxNFHAytpcWp/z Kbi6MEOzdFNA6V1by5tLIuCS/2Ht9RcUcHPZ34v6cBIS7DzNqD8VcEuBrIDd jXAothpx9p5XwO1yX5S4M8KhbqddQNsSez7/qCvdkeHwY+uOC0kUGmo0eiWn 2oaDs7LGf6JCNOS8VhL4hRQOa3//8FDSoKFPPtFJdTkGYzkxJ4zdaSjGbEhf zTgK60eu3EjopmEJV1WH+2goCGn7zlf00VBwtG3WpTsUPkdp7xgeoKEijxqX z5NQuMqsJVRf03Dw1donhfmhIHZokNYxRcPd0ss2N11DYTGCasZFouP4sQgt WVYIvOLTazSVpmPVp5jnq34GQ45a3p1uMzpGhgmmtOsHwdysybUzFnTkPZls nacVBFZPf1zeZEVHjgKt48dpQcC1Z1fyNRs6XjTIb3WkBsGRiIWDp/bRsVVD 2Gl/diDY9O5V1fKhY9iXivZNTwKA/4hYSXIMHb3k1IwPyfhDVENKjlk1HfV7 nldGSByE6dGGjIUaOpZqd32TIx0E+6XZtNI6Oj77rOnW99EPNPUcE6kNdJzw w5SgJ34wfEv5RG0rHfOjHVwyvP1gbXa9k8YgHd96Y6VTtS9M+X9X4PtGx0tj 6zhOBviAhazdtQ4lRdznnHTwIZ835BDaDU7Kimhwej5lfNELiDvcbz6rKKLN sxJ1iWkviMA6IUENRTw3lX/11nMvuO3NjNizRhFTlD0Dj8Z7AW/ld5uRrYo4 VbtOIYbDC9qMzpO+2iuiYX5IghqvJ2wLaHMSTlTE8p/R0mmb3GFx+KNJ8zlF XHX/1FyBujvcN+RfeyxZEVUXylpqZN1BWdqaezRVEfXW58lL/9sP/M2v75dl KeKFkqhDgc/2w7D015V4VRHTBd3ehO/eD0EtYg0B9Yp4UUP0gc97VyiU81Dq +qmIGVl9E3LVTrBZV0Pb47cijrDsU8qKnWBw59yG+XlFTO6q9zFJdgLuY/Fm Sn8UsVd1X/BjNycIenEzJILCwA4lhkHYCifA+NkGTUEGxvYGShk4OsLEt1iX FFUGdketJT/m3wdKz0qzLJ0YWPnH47JNsT30aM5fHXFm4HX5zJx9afYQnmV6 76ArAy+d2fo6INIeOv0+9sa7M7DtwzVSs6M9hAhp8NT7MDBovq5AUswe6l3K T+qEMXClgK+XY6IdOM7f3y+UwsCXlO0USqQtpGk1qfc/ZSBHEik4I8UGyjY6 8cQ0MHBn1HOt3FM2UG84935NEwN7oxvLb/nbwNd9ytcutDAwhTzRvWBhA2bx 52jWXQz2/dR+wyZBG+AatxHre8XArhAiaXOGNZxMY/3tnmPgAQ3ND79Ld8OB WY4X7epMTL135Sn1gwW43jTqcdZkohctZsNCrwXYu8d2ftNi4l79SSrlsQWY 9FJbxdcwcV5Fdp/FWQtQvkWpdd/ARNc4W+N2NQuY9CBdWzBkotg2ots0yBy8 +pfC1VyYaPjQxv0frxl43P1BT0xl4suE2ecqYaZwOGbPn10XmBg2qKWwwdUU juy5/x//RSYeXaxhOJqawtmfR86nZTFxg8vG2ddyplC+aWEpO5+JXKnybS2t O2ChcXno+i0mOu59KrVGYQek9fOnNLcxsW7sy9EPr43hUom/b3w7E1+b994w bzOGkrAeQ9NOJnapR4c13TOGhxJpi509TNw4szl9ItkYRhxFfQdeMrGSK2vj LBiDCkvacILFxOSpRzdNbxjB6vsnFK5OMjE+nFe0PssINse9WfB+z8SQB8ry JrFGYK6SX/lxmonXRaXfxLkZQcghusL370wsrXF065AwgogtpxeqZplYUyC8 oZnDCOJWTgyG/WRiRtC1zT0/DCGnoiRpfp6JLjk+SSK9hlAczeFTs8jEQ2aP a82fGMIta+/tEX+YKJ2qPpZ1yxDuM1rlDf4xkT4aSMzkGsLTWeWF5WUm2sWZ NDieNYT/AXAvkZQ= "]]}, Annotation[#, "Charting`Private`Tag$854327#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVl3c4FY4bxXGRbK697r2ubKWS2df7lkgidY2yM4rIikoSQiRkZMsmUiFp ISuSrahkllVEEbIqv35/nec853nOn5/3vBQHT9opBjo6Omd6Orr/a2agA/NO pyjtvONvhf6EKmNTL9nwOPkMsIR/vVd7QRk3X9WGksmX4KJqy/CNM8qYWR9D YiJHwoZC38Z+Y2U8+9959xVSGlRwOKnsFFXG3g2XxHnSXegePXvz95kduGVw TGaO9BxspgUydD4pYW5btvc3UivUeafwVzIp4FLqY/nR6FZ4SLu5rPpdHvWc 28ffrrUCz25L7Hovj7OEFbOq3jbg+BnSrVEsj+r/HdGMjOiAhycXpxgM5bGn 7DeDzI9ucHzN+dIoRQ6D2hQNdtr1wonQv6HGe2WxtCxy8Oz2AZji1SwIqNmG M7wz0Qb2A0DpnOj8ULINZS4YaMsmDoCE099D+9K2Yc5ettzxtQHoYt3CBhe2 YUJr9GnL5kFoUNFyn1DehhfGYxcOWg/D3S6ppx3FUpjN1h7Ko/sJ+jg5XJrz qOgMb9Jmz43DX+N2PcYXFKTL+1U1GDUOzDaTLlOlFExlFBtqKxiHJmNCS28O BV+3npa4+34cBl7eJPaEUVDW9HfeKc0JUFA0XDYyouBXF5n7I/SToOdTqnT8 ExldE67U9sRNQYCQgocjJxk9JuXGK0ungfrEOmcnjzh+sv3I0tA6DSrpjfki q2Jo0n99e+fENPQd0zEWHhVD9fYvlyZFZkDec9Tk+AMxJDws5BaImIF2U072 PgMxTA2gaF+0+waqiR+V6yNFsYEonKbBPQdBFhX7pwREkJUSJjOqPg9alDt6 Fa6C+Hpv/I5A3XnojFrL6TsuiOEnstTEafOQ7EHbzqwriAxxzw5auc2Djzr1 YTJJENf/zjp/yJyHdwOdDGffCeC3IbPiboYF2BWaSxvWEcCOVBm5+o4FEEyz DriuwI83udvlc08uAuO62VAMlYjP1cQfH/H451sN0vt5iThh6wm/Ly+CbC58 38lARK0HRNPjKYvwI0F3G/dnXvx6yPoKR9ci0L4uul/K5kWd0LnuS1pLcO2y ZdCSBC+uLnOdpwksg8ON9KtqsjzoMGhaR+j4BVUiSsG9jZzImvHZ3fvjL2Ai vGO+UMyJFZYeYqNTv+BZnrv0jpucSBiIuFRFvwKzxSzjExacWNBftdtbbQXg 6V01658cOPWOXDyStwKe989WnJHhQNee2bjnl1aBlWJhHpjLht7NYQ6eMuuw et5ZoPINC0pM6DH/2r0O/8W0tw6+YMF2hq0lAbgOxKrDVsQSFtyGMQuRFuuw cn1m8mEIC36sSgouiFqHpdpR9XsqLLiv/E7Wxx/rIC7qPR+asQV5Ml4P6Dzb gEYh9mA/X2Z86MVuInToD3T+XlwYP8qIHenESw/M/4Bv4/NdB4ERp5pEsvc7 /YHuLNVnz5UYUURY7tvZoD9Q8MPDuoOVEcMadEMbHv+BJyVs6XeaCWjOG/TI VfIv0MnkxVG1Cbj+aIH4YuMvrO3Qm5rSYMDcy24zysfpcJubyPSCBR0q129d jbChwzG2xpbHhnRYz1jMNOpIh99dW63DgA4/xUyQY7zoUDzXOGLfNjqUyLE5 Ph1Jh2115gPnxzYhvcm4KbeGDs3M2/h0BTYhgUMli1eSHo8tKL7kj/kDIdm/ jy3N0uPE1ttHWCrX4ajyM2+FRXrcMi419CFrHSQafOId1uhR259J81nkOlSN zfT0MDFghoX/znt26/Bz20fjBxIMyE7VuH2CfR0c7j82On2UAfeIRnxrdlmD fc89DvU/YsDIFf/ROKVVoOv9hDX+BPQX/zqnNbEMYdO1uf5XCbj4SPeG45tl 2EqXyaBxnYDK1Ed2GbXLwKtk0fQ4iYB2v2avaKUtw7aINwfLyglIorUQ9hov g4FW45G8KQK6zdG0dtUuwa38fOvrNEZc15WeSypaBGnf036m8kwYZ7AW4lO4 AEqaoybZykxo/OTSFb2UBVChO7FjRpUJGdYNBqUiF2B/9KGpIB0mvBRkfJvg vgC2BYqm96yZ0Jc+Yo/+ngVI7vu5gyGWCeNNyqcnW+aBaU/Ql7JFJsxNapt1 m/kBE8sp5mwvmNFiKIxQPDQLeft2+wy/ZEZdLubv4S9nwS6mK7asjRlTKrKf Xy6ZhQEpplaTfma8y7ZedMdvFt6YnNO6vciMnmur3Zv8s1D70JCsJL8Fx5f3 rJaafoMUd/qZIylbkLFk2uDq52kwmHS9kuDNgjHUNUelPV9A7wr1/gE/FjR4 /45wnPIF9vMPDfwKZMFA0YTUeI4voKlrpG4VzYInB6tPa0xNgXzhjkVqEQuG SGwl0FKngO3UksvjIRa8KKrfmb45CR0TV0z7D27FlabwErmBCTgyEacgIcGK k+vX9S1rxqBDYaLPWooV0+1MzV0fjMFhH7XADHlWtB7rMgzPGgN9hpEeITVW HPQc6fwcPAb7yQoXiEdZUTjYVUhabwz2WDfXs4Sw4tvfPUWDbz+DWN+a2eIk KyYbuC9XLX2CmZcOwa8fsOG37AKNlvIRIMX3u96sZMOC1tD92skjYGp7xMy0 +h8XLibu7bg8ArWrGvKfXv/zZYTHigdHIEGJp29lnA2Tv32J/TMyDFopdTIy Iuw4dOPxt07eYYh2Feu+Fs6O09JKcQU3BmE7z3txHTsOVK46eUz9aT9MxUyF JJ3iwDnjkke6+f2Qybry5YsbB3684LnDMbYf2BmFKqL9OHD05BXocu6HmV8W eu/jOdDSy/mEo3A/FA4Ne5xp4sCHQi66gUEfQKx4si5WjhN3O9z8RDr+Hlhh 2X5okRMFRXxa/Hb2gd8+WZYn65x4qlXFv4fUB1M6VqWx9FzIn5WZqcbZB436 Dev7ubj+z3E6lW+94E+LuXVXngsFS+drxwt74dupbc0X7LlQNPZaNFGiFzqi zWR5urkwp5kgZyn8Fg7OWa5ImnFjm4Cv+jv1HsjiC+0NOsGNp3gvTn6R74El rXtlQ1bcyBHgEsEs3gM5Nzackx24UaqP66ozfQ+sy9zu3+rFjW5SltYeSd1w 32H4+fwNbszb4Dmwta4LuPvtAmrruXHD8mGYNLUT+hud6C0VeTBgN1vYtHwb zO8bELmyg+ffnTuWssjfBlsajFVydvFg9YNXvpz0baBap+k8pc6DbbSAExc+ tEJiNXfnOV0enH8oa8RxrRWMK2tSo2x58K0So53h+Gt4Vcin/CKOB83s9kxU 3muBx9ebbMnLPKjdZmgdeKYZig3ahSJWebAv1SloyrwZ0tnfvp3b4EFfvWct tgeaIThuVK+agRf3MbHFBZGawTB1fbs5Ny+y/2y/FPy+CcaKlDejFHjxmU70 fZ+DTcDZcjt7xZ4XN1cTuhpUXsJppvOfurp4Meit25/dmg0gQmr9sPGGF802 45j2KjZAl7p4t+w7XhStAntjiQZQPdv8ImSQF1k5r31PYWgA5l7+DNWvvMhx zMa+rL0eCnOemGXREzHyzZvmH3b1MKG12uauQkQjHubPC+Q6cDx3+TF7OhFN D8UGPSDVgOqukcdymUTcHpinSNtaA6w/8YleDhHLqG7ZLIvVUO7N/DT4DhHL VwsyS15Vw2+v+GdLFUSMMvzi0+BRDcmeRdVD7UT0cXY9tb2xClrP9jbc/0NE 4yTva3fOP4cdzgpdhvZ8+OLoXgst9qcwcobk+cCJD3l/1j20Wn0C0WeJ3Jwu fFh8G5RiJp7AtPfGsW4PPtweI0WjvngC+QHt744F8OFu/6lnIp5PQDDBbdg8 hQ9NeeOOyL1/DJs192ZPdvKhCltKo0N5JXTzKrKd1+BHGy7tVvOECtB2d5/O 2MuPBB/lO06hFVDaUtrSCP9y/UM3An0r4GbAzjBuPf5/O1V733vzCjCcUv1z j8aP22P5bfjEKqDt+b4fY278OMfX8Lux+CE0nzzeezSLH9+wb5kpbiuH6tKQ DEWCADbYZHsb25QCs6GZSAqzAJobcx7t218Kx6Zl0uhZBbBmOEXPS7YUvlA7 k99z/9thoQEKc4sPgJgmmBAsIYBcpNmC1agH4BZ6/3qfhgAyxajy6tbfB9ET 788HeAkgmUjaoaRxDy7Tyx/tGBbAV1aRsZouxTB1gK1f+rMA+ptwNZuaFMPR 67N2VycE0DCJNBqsXQxSXGWeqt8EcNa/IJSTvxg6xFRic1YF0CAkZOJPYxFI qGt3+RIFkb+Tf4wkWQSNHjRD8UOCKLP0/RDrXCGwDvnre1QK4vmSgoyzFfmg evEuR+xTQXQ+vg4P8/LBnrf/bVmVIGYbLPgy3MqHZ/p7bBbqBTE2445Lm08+ nH78w9u3UxBrQmVO/tiTDw03nTL8pwSx8dbehbCavH+8OvI9XEgIeTO+Ysbb XJi8Q0nMDhDCyGJtPEfOgdmwz2uEYCF8cuLdZ3/eHPjpkGvnEiqENs1dGbGM OUBHoijsvCGEn7SEbaveZINICrmxMUUIkzQO2HE5ZcPRCNL8ZMW/vuVfWpIx WVDjLG6oOC2EbM0T++3mb0OirDDjczNh3H2YpZV9JQ2sbaWLxk8Io+u5pBDO sTSQStxtwGktjE+TT+yhdKZB5aZRnKODMDIrFBlfyk+DvvchYpyewkhVG/74 82gaEK/NqjheF8ZurhMBm6WpkPC57hRHtTBe686YkbyYAnHpp1vsySJoKaTQ 36uSBBcvhPgEUEVwImPpHaNUEtjSskgp0iLoSXCW1iEmgSLr+4sdiiKo48KT 9GUhEVov6cqqaYggu8pQaFdZIjBYSEWy00TQe69jEtv2RDgvOGbwNFQEX6Vf z9vYfQssE2262L+I4E8l+TdJjvEg9ohV1G1GBGUNyDm5pvEw+uapc+ucCE5q 7zhcpRsPTly89OFLImg65bSVVzYePG682r1JL4o+TiM/LebiICR4R9qCmCi+ j9T/u88/Du6epXd6TxNFrQvKv45pxsLqgcK17FpR9FJn3wGs0RBQnR3a1CCK 0SWdhLrFKKDblc4x3SSKhlbtU0eHo2ALKZayq10UM8sSMkvKo0Bgze9Q0wdR HCsN0FI5EQW7HximfZ0XxcKh+pZbJTfAg39JfSdVDC3Df32VtI6E8cn9fo0R Yvik+yZ7xo9w2J/dlScfJYY3rI0YiwfDIeeEZWfCTTFkjuQ2f9USDrbt3pKO Sf/+sACTdtWccBgoz+kg5Ishb7inxeSxcHh7+S9Zt1YMmy8mEs8+uwaNPFWt LUtiKLvTn786Pgzy/tsp2mkvjlC0MmJ3LgQaj7CGbjiJY8wRWYKTYwiM2Y3P yLmIY9CsmImvaQhQQ5Kqwj3EMaqk68hz1RAoeLVmgZfFcaQlIK934yoUGjem PkoUx/Nn9bX3Xb8KxfYmAukt4ih3q3ztxd1geHDtPI+zkgQyaqbIRYgEwuxe m5BryhKodqdnNIYhEBSXDizm75bAsvLsB0UzV6DEge/dJw0JDDTVMOGrvgLF 8CjVUk8Cy6vTSD3WV6BgbZ50xE4ChQ3+K23KD4B097Pb98RLoGbxn1tacBki zBwPE5YlcG+WKKfZXT/IMx6yPrUqgfvF5qRYEv2g5pCZR8vGvz73oNzOQD/4 +d/B+CgGEio0OEXHmvqBtbTCByI3CZkK8z3n6Pxg18pPBykFEjpnTrQTbC7C SGqIv649Cfmo9QnKkhdgz1Du3YhOEuYzV7TZD/sA93aX1bIeEnINtyzadPrA bND2g/29JKRslWN2fuEDBdTqCdkBEvZ93PUiO9MH+Nz6SG1TJDwqvEkrsfWB 9QDCYWY6Mo5eDFASHT8HH9lUG/SFyVjxLeT1tmVvSJXLeNB5mIyBvlwxrVpe sLSoVxhqREbWy9HHMpS8wLj2520NYzIyZildukTyAmYTg+hCGhlvaWe+siR4 wfmANdcrFmR8pcBjdTLFE2jdx2WVnMnoO1fWqvHCA9jP8+VHh5DRSUxO103E HYLqY1IPPyejVtfr8gABV5gZrk9cqyJj0faOH2J0rmC+sRhXVEPGl7OKdj3T Z0BR1TKSUE/GsTMY4/XiDPTfk/avfkXGzOATNomnzsCulDorhT4yfjqF5VbP XWDKfUGC7QcZ00dUGC97OIORqFlhmxQFLayjXJ+wnYLUie31VtIU1L66GjO6 7gQTD1gGZ2UoSHuZLy8w4wQBWMPNpUDBG1OZBfdeO8H9U9QAk50UjJF29LwQ 7gSs5Qu0of8oOFWtIhHC6AQtB27SfTenoE7muQg5VkfY59FixRNJwdLlYOE4 DXtY75/Wa7pBwW2VV5ay5O2hUod918VoCsquFTdXidqDtPAxluFYCqruyRAX /nsS2JsGKouTKRifH+Tm+fIk9At/58ACCiZw2Q36HT0JXs189R51FLylQHzs /MUWssUcpDqWKZiY3DMm9twKNHcrbHdYoeDQuHlMcZ4V9B1aUltdpWB0R52z XrQVsFwMPyz1m4Ldshbez+yswOtNybkABklsk5LU9t1iBRi+WK/IJYlh3Z5C 2paWMPYjzCZGVhI7g3bRP2O3AKmXRclHrCSx/LfDbVqeOXQprhYMWUviHfGk VIs4c/BL1n/kaiuJ6aH/DXgEmkP7menucHtJbPlaSNdkaQ7nuBW21jlLotdq TZYgnznU2ZRe3uEriRycLk6WkWZguVp5kjtGEt8x7GdgCDSFOKVG+be1ksgY ReedGEODYnWrrSH1kngo6LVS2hUa1OksfdnZKIndwQ2l99xp8N1CujC+WRJj 6Mc614xocDj8BulYhySKupuraXDRgHmUxtfzURI7zk1EaSYeg8tx4386lyTx tILi15Wio3B6kfFNqzwVYx/l1hK+GoFtyYEua0UqOpFC1Na6jcDcPqz9hxIV j2tNEhieGYFeN+EV/04qrsqIWhhdNwLpewzV9mpUtL1mqtsqZwSTDnSFazpU 5Ns30anvZQhObzf85GyoqPOEZv+X9TA4PPxJjoyl4ruIxdcyvvpwNsTkt0E8 FX37lCTUbPXhvEnlB/ZbVLywXiVpqa8P15fP34xLpqKajfrigJg+lGqsbaRk UpE5Vryl+dVBWGvYfH/nHhUtj9cK7ZQ4CHFv2WOaWqhYMzJ34euALqTnu7uE t1JxwLD7rmGLLuT7dunot1OxQz7Yt/GRLjwRiFtv76Ki+rxmwli0LgxZEl16 31GxnDlZfRF0QWZcWGdsnIrRU09L9O8eAOVKf4mCSSqG+7ES65IPgOa1wbVT X6h47rG0uF7YATCUySyfnqHiHaLw4DW7A3DOjSyxsEDFoipLuzaBAxCw9+pa xSIVq7J41JoYD8A1jrE+32UqJnoVanb91IHUsvyo1VUq2qQ6R/F260BeMKNz 1ToV3Q4/qzZ8oQP3jp3aH/CbisKx8iPJ93SgUvKVuPZfKpKHPSfm03SgdlF6 bXOTimbX9Ootr+vA/wBRdxJW "]]}, Annotation[#, "Charting`Private`Tag$854327#2"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.8837231004454937`*^9, 3.883810676838584*^9, 3.884769578140485*^9, 3.8847710668265333`*^9, 3.884775635158951*^9, {3.884775677484971*^9, 3.884775683376411*^9}, 3.884780650180135*^9, 3.884844889407133*^9}, CellLabel->"Out[90]=",ExpressionUUID->"568992e3-4056-41ce-b4b2-0548ecfaea44"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "\:0440\:0435\:0436\:0443", " ", "\:0412\:0424", " ", "\:0432", " ", "\:0440\:0430\:0434\:0438\:0430\:043b\:044c\:043d\:043e\:043c", " ", "\:043f\:0440\:0435\:0434\:0441\:0442\:0430\:0432\:043b\:0435\:043d\:0438\ \:0438", " ", "\:0441", " ", "\:043f\:043e\:043c\:043e\:0449\:044c\:044e", " ", "\:0444\:0443\:043d\:043a\:0446\:0438\:0438", " ", "\:0444\:0435\:0440\:043c\:0438"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"PsiR8HeCut", "[", RowBox[{"r_", ",", "cutVal_", ",", "disp_"}], "]"}], ":=", " ", RowBox[{ RowBox[{"PsiR8He", "[", "r", "]"}], " ", RowBox[{"funcFermi", "[", RowBox[{"r", ",", "cutVal", ",", "disp"}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"PsiR8HeCut1", "[", RowBox[{"r_", ",", "cutVal_", ",", "disp_"}], "]"}], ":=", " ", RowBox[{ RowBox[{"PsiR8He1", "[", "r", "]"}], " ", RowBox[{"funcFermi", "[", RowBox[{"r", ",", "cutVal", ",", "disp"}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"PsiR8He", "[", "r", "]"}], ",", RowBox[{"PsiR8He1", "[", "r", "]"}], ",", RowBox[{"PsiR8HeCut", "[", RowBox[{"r", ",", "5", ",", "0.03"}], "]"}], ",", RowBox[{"PsiR8HeCut1", "[", RowBox[{"r", ",", "5", ",", "0.03"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "15"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.8837231463016157`*^9, 3.883723168424961*^9}, { 3.883724248255582*^9, 3.883724248801641*^9}, {3.883810683590686*^9, 3.883810689266737*^9}, {3.883815507574993*^9, 3.883815529342301*^9}, { 3.8838170810815372`*^9, 3.883817088629632*^9}, {3.884775691890417*^9, 3.8847757379627247`*^9}, {3.884780653606538*^9, 3.884780695341119*^9}}, CellLabel->"In[91]:=",ExpressionUUID->"e4b1105f-d069-4328-b182-1cb800c3aa9c"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVl3c8V+8XwG0le+/5sX0ipJTuOVJkfJOKUCI7SqLIKCNESVZJQ0hCJaMy Uomyk73J+BBCZCv8Pr9/7n29X+d57j37OY+U/YWjTnQ0NDRXqI//v5cGar+Q biUSKpoTk/+MQom2FEE/3S4vaA28G1xWbQfI991esCsUPtDIBMRXe4LPkZxO +q54cLx01cutOhi4ZgTiVzvTodrI8QRLdSz8KDt8YaGzAFx6b6xmf00FfdJk /1xnBaQwk7Zrl+fBaueuu7OdLXCOEIuLzCmHSr3nGc3pIxDy0eEHx1oTiP4o GbNXmYYi/5sFmse7gGb+4v1as2koM8l8sftCF1CYlIzUfKdhsuMJG/lmF7za /uDV+udpuLzgVj32qQuIa/6X7p+YgbKjxhqPlLrBVmwvXWPob4iOGOalWe+G ZvJAzKOpWRhdtXfddbcXvuwq/Wm6OQueEWZ/5HN74Z3uPaTnngP1B7MtTNW9 8MD88J+zu+bgvGyL5Z2VXrC/+tF8V+gc7Bl78KHWug/+NKSItgj8gSbMPtAh 0g+852xzmPXmIf9Tvf/InQFQYn5adeTEPDzjeFfnljUAmD42nOw+Dw31Ivy9 5QNwruu8iEriPLhrMFn4zA3AlwOB0UdG5yFPtT/wrtkPuCSW7JF8YwF2Gqtb FzINQmtji7pywyJs/8zhdb5kEMbP8pteGlwEc93Vd6pfBmGDwdr9w8IiHEBr p9HGQVDaO/TUVGwJtK7aDyhRBiH0+W/eSx5L4K740V6MfQjUg1mXyziXQebe o/5k2yGI36H//rD5Cvz2eDn0fmUIVHutDPa5rkCwRs0K0g5DQ9j5VuWAFfju X21YunUYmLoSf21JWwHmjf+uRwkPQ8C1EZHKqRUIi9J+n7x3GBzrgwN3ha1C 1BOamMCAYdByer9PsnAN4godO+X/DEMr+/da9qo1UO1uZlRaHQbP4mHz9a41 qGdjbJCgGYGcbSwePRtrUKwcxzbGNgISBZYpiUZ/4dndpp99CiOwZXNxY8vw X+jhQgXPUyPQfV+tfI5zHXI1xBk4S0fgQesLDh/ZdSg8oPpy9tMIWLPL265p r4N4wn7Fiq8j0HddbIPOYR1cWx/G7moegUEPFh3et+uA8j3J7j9HYPwApUjL agNIEXS/FjgpkB1ky/z+/AbkZiVTBvko4FbaYwGhG/CmTP3iB2EKTKk2Lxq8 2AA9kxuah0gUmBX+qGG1vgHWZcIbT7UosDKb9DogbRNizmzeu2hJgRJlns3N t5tQSbwWdjpFAX/nmMNhdZvwoHv330N2FPjXGzYdPb8JtnNzVUMuFAgeKeb7 Lk2DUU2Gu0/4UGAw2GcfF5kGvT59NvvmRwFdcU2nY7to8Mbbq/kaVylAZ/X6 TacxDQ6un9Ruvk6BsMZnxwYv0eC4xB2SaSwFKO4OAdJBNFgw+VrRIIECB7dK PXWMokH7qetnVO9RgOnAoz/jj6lyXwe7pocUiCyJj5urokE+8Lc9nkmBcYsj JRrNNDjtavXxWxYFDBfYhi730qBemgPsekEBFtUotbXfNPjl4qPUntcUuJUR 9J1OiBYlaD/n2hdTwEjzLDefDC0eKijqOFZKgS1fjprLk2lRa/1V5s4yqr4j sr3GurT4nyC3dv0nCuz35hA/bUyL8Kpr5dpnCtDQr9p5mtPidZcjJ2UqKRAo 3TCWeJYWOyZD6IkqCuwpeKv43JsWr13+rf+mmup/3SfnSq7Sok3OZQWRWgpc PuP1pz+OFu80530uraeA5tzJnbMPaTH48SXf+QYK/Ak+eIUukxatajyqRRsp 4JEquCFXSovbjdLUdZsooKJGp6v9hRbrs/VMdJopMPnp13XjRlqs9Z/9J99C gSzT9iqbLlpkPriqx9BKAZcfH7d6DlPtXy2VbKay3IUsk9ApWpyYfRwf00aN x0bcncQlWhz/zZes006B9JiAlkwaOsyTSdfopbKduBNfCQsd6pO+nXHroIB4 7mHLel469FpQkZmkct++3Q/7xelQnM7B17qTAg++SQ38VqDD23Kip99T2dJm mxSdBh0mZXJ2snZRgH96wYF3Hx3+VGcYPkzltsCBTDkDOlQY/3othMrxrDUT u83oUNhU7VUGlc0e5asYn6TD6lOK54upzKny8IKNEx0Ge6V/LKNy4/uwggsX 6HDe5n5aPpWjjT0WQ/zoUMaKhz+Jyka9J3YnXqfDyyzyouepvMVdNyDzNh3G h/0p1KBy1ZrSx+IkOjyqn9o/SdU37CYvbX0aHT7a45wcT+X9wht6/S/oULc4 /KcSlWlyfkb8fkuHbSHGNYVU+z9qN9fSltOh7VcOHTKVA2tLWXnr6FBFVEsv ieq/vVYZpnJtVH1vkgfmqP5eG78dv3uADvcFebLto3LxFd92o3E6jGkNa75C jY/mfaOTF/7RYT6nl3AFNb5/5DVTQpjoMe39ndTv1PjnFYkNJXDSo5fhlo/f vlOA3DnrXEyixxw2roqH36j9wLknu247Pcro6+a4U/MpZ6lyqm83PTo7spJV qPkmx5/kRfsfPWYUqzEF1VDj/yz4Lc8JerQTCz/NRc3X9J1uK7Jn6HG50s08 8Ss13ub7rhldpkceXxuZcxUUEEgciUp4TI8hHDfOOLyngKDy27CVTHoUFRuX fFRCAeGKiCCbPHp8WboRUV1E3T+reFm+kh6Zb7CaLBVSQNbE0+79OD1qFNT1 FVLrVW5E96TkH3o0PlG2EJJNAQV/Hovwv/QIyRUf9j+n5nvWO2NTdgYkBfxw fZROAQ2Gda0RDQZUYfj3X959qr8eNu44tI8B37YvC/JS+4eWeqrKK30GZBm6 leZG7S977PSkfa0Y0H7Y7s/v29R+VRbFti2IAZs2u7+cDKWA6SV+inodAw5u 7+gucaXAkW3jA0mtDLjpU3zayIkCR9NLuv/1MaBnwJPyb2coYNF06nvVbwbU HQ4ivbKmgI3K01JrPkYk+wS/ajSmgDtFNS7UjhFtlvp+pihT4FwAbfTPs4yY 7L1x6rQ8tZ65WyNMvBmRvoGpk1OGAl7oE8gfwYhFxycph6n93O9RmUvOC0ZM EssoUt1CgRvHDYmWJUa8tuV8c8TQCAi/aRSmo2VCA0d5aZa+EcjlOb68YxsT VoyEuV7rGIGOltN5cRJMKH+H9qd2/QiQzC5Jmx1iwm19LjLrhSNQ8d8TpqZk JmRf3x9aHDoCFq9II5tPmVDIcmPff4EjMMma80k1lwkVAwZ2tV4eAa6GN1fu VDDh1S1FqwWuI2BnVDd5+BcTNjD90K34bwTW9Rcbv+kw41Yu0lkS3wjEZvq/ WNdnxopr/Oe+U89PEhNNJNmMGVWqe2nOMY2AyVcW3dtOzJibZrzktzwMD/Qk C01iqPxWJG+iaxh2o3FS/Q9mDLw9cVUseRi8tdNsa0O34Dc/+mxajmEwSmVf MI7egndiAh6GMw2DNHNgZOPdLThGr5K1vj4ETW0W+a1ZW7BsrFKubmoItnuy 0g80bsG0m86W7bVDMJ7pm/lHeCvetS18WhIyBKd4D0+LFG7FXz+SJSjjg3Dg 95q/xwgLnjm7rcZC5Qf4HUpU+jzFgh/yHJqB/wfkppF7eJZYkO39PWk+mh8g eNxOu2TLNnRn6moLax2AqeKvy/Tbt2FqVDSjv98AJITGXkq+sg0lvE/I1Xzu h2E+OY8vbKyYKJVnbn2gD0J0zM4I72ZDs486Um94u+HQ6ZQ/u/azYU3G9erh 5S5gD/513dyEDbdLpNRs9HTBo8rwzFg7NszPfr5jM7ULio1KfzFFsaFcfsSG jEoXzFrK+Mx3syGTR98LTuiE05cXbzYEsKPm/rnXS57tIJu0X3QynB1rTKQn TMzbqfreecUcy44XNyVaq7Tbwf+fYtP+DHb8JBNNK0vfDnevn+YraWDHY5xn voUntUFDXPWTZ2IcyLTybGtBVSvsyU1+c+0TB/Z+X5y4sa8FDnQ2rs/UcODL H1U34+Rb4DANg4FtCwdeXtB5/JarBRyOenTDKAfmug0nmYw1g36AVFAwIyfG MM5fLIhtBk+Jpae6ypyYsCPs6f7JJvji8mS60ocTK2f/JRnYfgfDf9rcgQGc eEhz4GqI9ndojG3T0gzmREZmvh/jPN+hu2RrcEYUJz73KN4NtY0ws+0Sd/gj Tny6nnGSQasRBPMO7dKv4KSOljl1nwW+wbmVueAaNi4cahsITVurgz0XnfnH uLmQVRP5z3fWwZbJnhf0glwY+ImS7PymDp71VnYQ0lyotXo1dNijDgY+3lV5 q8WFePGZzfJoLZiGa3el2XIh//bnp+z7akCdO0Q1IJ8LdZuuvX87XgU0txa/ 3H/HhSZK+T+b6qqgkd7N+t17Lnx5iJGf51UVuC8eDZ/7yoVT3SWvtnlVQUYX qdeFOmz2q1sfqln/CvxPaiKO03OjgMvfZT3Rr7CqzDlANufGzArz+yvelbD0 WDhEw5obw7dRallPVsIChyxJ25YbS2/Ej+P+SpiZ13Y7cJYbbU9NGm7hqoTh 9w5L1le50WaQpMaRVwF1xkXskc+48dw+kaae+c/wwP00DC9yoxubY5lNXDkk 9bsO/1zjRtXm13KkwHJINPUOn97kRmmhic+MLuUQoxFZv7KVB7W81zaF9pVD 6N/8ExziPDimaP6Ssf0TuN9i9NTR58FuA7dXnokfQefFy9R793iQxPLN8/Hu MuiVfPHk4EOqfI3uCIW/DPzvZacsPOFBmiLfgGOL76EoJPPR0WwebBIsWcou eA/qlqn32ct4sCzR4ZC66ntQZEyMjRjiQaMbH2xvqJYCv21AsI8KL/IatHYy mRTD2za/INkdvNgtfUVhY3sxHDe6cq1tJ1XuOagkyF0M8TsvB6oDL567duJJ YVcRsLFeuDJjRuUsct11lyJgKLH3dPblRcbNo0NOt97BHLeRnUUFL/Zz7oiX /PUGus5JN7lV8yK5ecsZxqY3UE69awQ18CLNqzembG/fQKz/C4msDl5UkXzb ER70BtSGWX+sTvKi14jTE17+N+CR/93mMQ8fBiWd8Qs1LIRJU/OTFEc+lHh0 pfhyTT60ZJPrV87yoZpKXqpbfj6U0jPtZbvAh1kHVhyvPsiHqKJ3wlp+fOhi J//z77l8UJAQ7Llxmw8N6MfTLXnywWWmx1L5HR92NGhJejrlASXazsKLmR+H zOzcNXVywWNSRVqNlR/52U8dShPIhWWD1elpTn5M9Sp02DP/Cljo48PPCvPj Q+60oNmcV6DmV/nGjsyP1dqVIc6ir+CqkxyP6TF+zEitUDRhfgn8xNR35Sf8 +ODTUkjK32xIfVj8cOIpP0a9adJU68sGxdUwl+dZ/Bj+gXf6Z1k26LwR25Qu 4Ef5e0Lvaq5lg4OS6Xbhr/zYIT/x2oghG/L4C6K3/OJHy47tJEX+LDD87Ws4 qiWAWyX/rEgdzwTRHeIRW3QEUKFmx/iAVibMeH2pUNYVwKScRLUKoUxIXOLU 8TIWwJmtNAx/fzyDgfXs7Zu2AniRwVlfzeMZeLH28QhFCWCRWHHitbgMeKCI Aya9Avh3JobG/k86nHMfE/YcFMCYduvrt7vTAV5Fn0gYFUBhv7Ox3eXpQFHr bur+LYD71edTWu6kw/bdXpXODIJ4KNt2Tk81HSr1M7KCyYJ46/ARnU3vNJhy 2OL9JkgQF487Nn7mSYWZlAMfPoUJYttxHSbSxhP43R3MXB8liMaddC9X257A H9PVh0MJgkj7eOiB3vUnsLx38gt7FpW/hj82Gk4BOt4G/rNNgpjjcYf9V/Zj EPpyp1RMSgg1u1Yj39o8BOHNegZFOSGU4PDXDNrzEET3bDHVVBbCMtbW7T4C D0E8L3jEaKcQbgwoyP9qfgCkRxdZrxgKoayUW9fkoQegdunY6ZaLQvj52KWP HJAM+iQBuhsVQuh0d5+Ol1ESTNgbZO2tFsK/q+/aA7YnQXSa7+HZeiHsWj5P +5w7CVrFux5YtQthwbdojzO998BOKFlDZVwIhc/+2G/vcQ/82EWcmtmE8ZkQ z82LD+7CyxXxGhErYbwtbVz8YWsimO4y9WiyEcb2wy9YX88lwJ/LQbzh9sIo f4BZ70N3AmjP/7CbcRdGzz75etWcBKiaTl0tvyaM/P5mkWdNEuDHsLSyc4Yw cqQ4anHfiwfub3Ixeb+F8eRXk7Dj++Jg47fas7oFYUzJPjdBkYuDSe69ZZRV YTyl6BISzxkHFZamk4IMInj+lVjBAUoseFN89UMERXCIIW+N5nYstP2t2TDT FcEJfd+mi9V3IEnJ/cJ8vAhW1NRknDS6DWH/XY5guy+CAmH3xPaRboOnZ9Bj +cciGN9prX5kIxoOvUuoP/lcBEexl8xSGE29P5bJf3kvgitnYi9WiUeDtRXb YCJFBFuaLewUN2+CaOTrI1paopjmqNX1ZygScnJfVa7uEUVKZMSVt5WRsLv9 hdYHEEUN17GuR88i4bh0lugBQ1F8Y+Ik3302EqLLUsfNToli2S1JOfqFG/B3 Ni74fKgorsUqvl5ivwE9VpfyMhpF8WQz4yut0+HgGuwl49oqiiozEp+IA+Gw lOl5T7lLFH0mzts5K4UD98K5wIIhUQxNPlvEsxwGRjFOh8oXRFE4wT52OC4M SiosBnuFxXCXu80RtW/X4b6yNiePixieKt7cEWsVCubG32I/uoth+XSfaKFe KHC7n+Fy8xTDYJEE3llyKNzKieL+7CeGxzZu5BbRhcI1xR7eC9Fi+DQhVs3/ VQg4ygcI1eeLoZ4UHUMBcwjskPkgff2fGKY9ES7UfRQEM/vNnm6nFcdDpIHh JJ8gyLEflelhFMe714r/CJsFASmdTXYHhzj2f+Pqz2QKAkGp0/I/pMTx9J0O 7ibva7Ahvqm810Acsz0yru+xuAp1wro75+PEsfkh9yLHngBoEn8tx5Akjgk9 hccH+QOgQ1pMkO+ROC57KpEH5v1hSGl1TStTHKet22zO5PrDyp78cv9ScWSM MXYIkvUHuZNSJnQj4ujuoys6LuIHoQ9pHbg0JXBrf/bqL3lfiHxy4bi0tgQe /pgqs7nVF2Ke9h/UICTQyHh6dfeUDyS/KFEwPySB5sv9IxL5PpD3/uLM/VMS yLv/5sG3Oj4w0DvkJxkugXufzba0Wl+GPaIVsaodEpj0eoBIzveGYRnSwESP BF4tt+LoSvaGKOUI5YwfEqi+sRyhEeoNXXuMqgQnJHCcI2oIjnmDr1XLX9p/ Evg3/FpEzpIXWBtf1JjklERunR7FnP1ecC8yJKVMSxJfRtyvvzDjCW7R6l+F tCVRYnnxHn2PJxCxI7989kpid999hryvnjCadFB7B0pi8bEV06OPPUHz+da2 Z4aS6J42daHkP09o+Rq39c4pSRwf7xKdc7oA7PTpl86ESiJeNpOfET0PTKuf js2FSaKHlNqPwaVzsDHTrx5yQxJrPx8+xth8Dn73CM2lRksiW/yDc8Ph56Cp IO784D1J1N3BdWpszh3i7UOcbV9I4t7KEIaBFjfgr7CztGmTRIcM1YKRd67A Xnxt13SHJP6dWN9x754rMOU+4r/aLYlDpacnvXxcYTm5q+3RANUeeQeFHC1X 6Lp4xKxvnKr/9PLQ1hIXeCCFRifXJbFwZt3H9qsziIdI6FjJSWHKHe3ba2uO kOu9RbpfQQqLpWZN2AcdgXCeYz6jLIUZ3BzJB746go1xZaurmhS6r7vKCsY6 wiM+F/cre6SwzVlGz0LeEYRych8kHZbCVQ3VmS2nHIC3dd9quw91/clfc7L9 ZyDjq9wPKz8pZJW3DNauOgMaxRxf+wOkMJ3Hwc/t9Rk4+ngodjRYCvXPhvOS Qs9AnEu4wuJNKTRvGe2eUzgD7P8aTvA+kcIn+5kSOwPsYKvsqXdHq6Vwp9Tm vWzqrOgmBEYvaqXw50epKcLgNNSxSQ/QN0jhN+bg7k3p0xC99JPxbZMU8gl6 vKTvtQH2Gm9zgR4p9OiSuM32nw213m8t9E5R5d8sW9d3nwLR/FJ1J25ppJdL 9l7dbg2Bzx5XfeCVRmP5zINpHNbQnxxszS8gjS9/Bj/2mLWClFD90GoRaRx8 q6DsV2AFksdbmhVlpZGW/G7o0G4rkF2e8JzZJY31hp5hL40sYfs+ode+NtLI 9fa3s02UBRTKnP1LZyeNJjlV7GLnLGA3S4lBjL00CnWK5NKZWsD+TsvBDBdp NFNwYAc+C7C4eJ+r5aI0fnioS+v71ByCnglcUomQxmqbuL6SquPQxMavPZQr jeErq/sM5Y+B+YJT+Ll8ady8qMF0nv0Y9PS8bV4ulEaJyV7u/MWjQHlu7sZe Io138xWPJn85Su3/dx/urZRG/dOnhkYdjoKUD+/G3U5pZM3temucZQZeA9yV RjQyqLQ1zXW3wRGoqTr1IYdOBiPzCf9rGkdA/HVmEQujDGZyB3j3SRyBuqA9 L+u2yiA/h/zRT3OmIC1lf9eIRwb3coT82zxhCs0O+S5GcjJYZPnZWoJ8GNQm TFmNTGTQRI+73GrFGCKak5lyDssgs7X2q0sdxtBXMkLDYiaDBIv3q+I3xhB5 03ex1lwGo6dR8v1FYxhUfjJgaCtDrd+T5zKmjSDWYybP0EsGlaX2GA5MGcLv +Whzw/syeL16ekcW8yHo60qzePxABqcaDOdFfhlA3Yd3J+YeyaBk60xKfqMB ZNwYtEpOk0FhYSHe/fcMwFpE8/REjgy13wQJzcsZwNf9vc5RH6j2+EkYeB/W h4dxildqh2XwiO+izsibAxDpQ/iJjcrg6VcNRYaPDoDPyWP+F39S9WVXOfft +gE4Ins1UGhKBk8s1i8pHzsATCVNwWcXZVB2+kaz7rweXBz0jdq6hUSdv125 CnfrgYFq1QNDMgm1fip5VHfqgiXToeNNqiT0KVzcWVOuC279tWwn1EkYzHcr bSxbF2JufQt23EVC02tX6gMCdaHjZ5tzkC4JhwJqD9HL6IJj6oj6W3MSDpg1 +jtfRgjloq2XvEZCzQ+cZcw2BCSOh4Y9DyZhkNpd59GdBGR+YiC2Xyeh/bRp yCI7AXXnt+TvjSThX9o39C8/7wOuOo4ki3gS/tIJ13RX3AepoeIO0ZkkTBCb 5vtLqwMf5/f+XW4koXnBm6dF7dqQ1lBkf6yZhBUHGqSfvdOGsGcadbmtJOzK 2qApTtIGwxPKyU5dJOy7JCH/n7U2tJUK72odIuHO7cz71IZ2w2TIqlfuAnU9 zbZjhYu7gJ+zaNJRWBaVAjtaw3drweq4+tFyUVn8bd3N2yCmBX2fc0tEJGSR tzHFX51eC9K8MyNbZGSRReifkG3jTlDpvCuHZFk0uzp5RcN5J+xPuWQvgrLo ZBDU9vyhJnioqPc0O8kiWpRvlItqwOVl4TVbV1mk0LAvdtBrQGAFvfCMmywy 3Yt1YvulDrcs261YPGVRVI6HtbdEHbLCrnTv95fFvwflexcs1WG472NXYYws fne5n7DxaAdY3DbuvFski4dKjUrN96qBjaXmskypLH5t1F5WkVMDRxkxgYIy WbwsYVArwaUG3iUzFo2fZbH1yo49rxtVIXY0roOpgcrh6SiopAp1+7rafQdl 8VJHt3TbJBn2zTi2WW2VQ/W9PIRYvDLwvzdIL9smh2r3FRyjPZVh5oaSpwS7 HK4YRLuQTJUhRWp22yi3HGoxBkAjqzJsHA/Q8xSVw5veDc30N5Xg0/u4gghV ObQ7WLGj4ZYi6EZ9jC00l8PG7Ip9t17Ig7BF2ml+SzkMuZwpUBojD3+kw1T8 rOWQYU8DE6uXPKSXGdYQtnIoQqPtL6gtD3SzbZu1rnK4Y8yV/3uNHFRa/PIY DJDDu3VTzTEzsnCQJPgfW7oc4rHjk3CUBG+mv0o5Zsjhw3OyFhvaJCAVeS+V Zsrh/vNTb7ulSMBg9P2J6ws59PxwqHpsTgYqLkT8qXwjhxoCud4WCTJAvF9I 8q+WQ9OC0FsevdKgdbR5+OeUHE7Qu0elBElBpkhQEfFbDiMjQ66/d5MCvlGV 6Ltzclj6Ys19zlwKFnwjd+otyeHns6pxz1WkoOAxRKZsUv01L7ig3SsJqhOv yObc8vi2fby2X0cSFIJvXqnYJY/ty3oqZdLiULb3GaPJHnlMJHanlvwVgyPL n+LbdeRxIvRGwkSbGFzxWHw5riuPqmvc8z9uiEHNKbshdhN5fMdgEiYxKwqu 2lpGJ+3kkfHLTa+CWhHI/jMkshApj91FLzgCnwgBkfsv6+otefzGmLB45JoQ tJwV0GKOoe5PoK8/YiMEa4MmR4QT5HFql69zkwj1MP1eFIaP5fFmFadN7QNB mHxxezo6Xx6j1N1FvFMFQMlJ+5Nsjzxmw5cLe2r54I704bXrffJ45zdJ42cu Hyz8sN85PCCPuxoHvhYm8sFH6+gXKSPyqBne8OmFHR8cPfIjSWBaHu3v5Pdx r/GC395wz600CthWILj1sTov1HA1S03LKmCp01h+Rgk3kL+PnjJWUEC3/sP/ MTzlhvjotaRsJQUMdP0DQdHccIqZxO6sqoDx96cyq2y54fc/n7WB3QpoEOI+ nsTMDfzjoq1Nxgq4FvNbQuEUFzh9dA17c1EBLULjbOUEOWHm/KTvwUvU7y8L Huel54QrYufcO3wUMI1xsGxvHwfcDLxwdCVAAcV8Yg4xRXFA3h4fSZ0IBbT9 tSokO8oO/95dL6t8oIAn8sesTZ6zQfzrlIWWSgVMx3qXs2bbQNRWctyhSgEZ T8aXPCNvg2fs6b0LNQq4OtDZz8myDYrPP6vgb1TAJsV/WV6VLNCv/DLWuksB 7RTns2x2s4BCVonK8BTVHs0048dKW+FTapvjHJ8izk9kJamrMsOgiZStj6Ai dj3ameDExQw0q+et/gorou7Yv76P80yw34z5MKOkIhbY37g3UswEVbR7dgkp KeJCoMvh2QNM0GD/ZKsuoYgZDeH00w6M0ENyy411VkTKnUrnHWX08LfpXRbf WUX0isi1b02nB9Gr9E8fuCtixcrE6t0oerBpf5SU4amIpuLDRwNP0MNg+Pfg Yn9FfNAVJFe7QAc/xzSPDcYoYtZg7UfYSQcLWZvLqkWKqF0gcT2mgQbGLPRT o0oUEXfIsJ0tpoEuhtuHRt4r4hLr/vKTGTTw3k44+V65IpZGsW+PCqSBUMGd e9ZrFfG+qigj7XYa4Ix0C6zrU0QN84OLSUqbhIpLO40TnRJKp2doSE38I8T5 RLM/Mijh5/lYm8tV/wjOSnszQWYlTM36ITL/9B8xLz6bVr9NCQ98dItxs/1H lHaw6KnzKaHKkZxRva6/xCF9DN+UV8IbiXWzl5vXCAfZF1sf/KeEVs5z1XcG Vwj/r6fd5I4ooeCzfJbd5StErBN3fcFRJSztHLViSV0hyp75RdefUEK+0YN6 KnYrBK/cIY71M0r4UvKJpe3wMlElN8pr56OE/2Ja5Y/PLBFKChKSck+UsPD1 wj9umUUCa1qCC9KUMMLgL/d95kXCwjViiMhQwo1ArhGcWiCuZ02nn8hWwlaJ geV/bxeIPoUy2ahCJZxw05oRMl4gYhStlKeqldDBoD7tU8A8MaeUoFUwS+Wq k9dvLs4RXQ14kGdeCclXjPZ9+DFHlHvMHLu0qISDfUUeLHVzREyB4UWtNSV8 Up1XNJ8yRyjtoXlZSq+M6cbMrhuGc4S94XmpSn5lFDQT/92VMUu0uRiwtuko 46koZa0n3TPE+62LwjtBGdXM3n1QfjNDpL9IV7ynq4y/VeXKRmNmCM/f6/qW +sq4KqehO3RghmDzfRPSZ6qMIttYvGcLpgn9CKllir0yEsqe4Zg0RRRn/B1a jFRGnuTpZZ2gSUJL79Ky0S1lPN90tr3QdpJ4OzTFmnpbGSVMd+09gpNEgfjA LqN4ZWS++9/0Cu0k8fJ++e2Uh8qYXZ7Lx3hjgkiNDtc2yFXGxJW4S8NJ40TU JY64+63K6OA+W3yrdYzYwhOZOd2ujL73slbsiseIiHyasv1dyjix8vS2xeMx ImxmbmyqTxkHZZ6JpbuMEddc23R0x5RRQPXOi3fro4TXqeTxiRVl/BtytPyN 6ihhfYA6K4qr4D0/w3rmnBFivW0Le6WkCj5LyenIiB0hUp1meo1kVLB/WjvL 3neEGIso8bVWUMHTqT0LcHCE8Ko1fe2nroKWdN9SA4eHiZuHA8WL9VUwe4+W ZY/0MFFq2f5P84IKKu16Hc1dOkjYTJTWlV1UwbzzjHb+GYMEjX/q/QOXVNDu oi7vRswgof/QXfO4nwom6KffsXQcJFr6ac95X1fB26PPp805B4lJ++29+Ukq OKYh4vW8Z4AQOX+jZHu5CrKrovngpT4iZtN5560KFXwZXbp872gfQRevn//z iwpezWuf8FHrIybfMWan1qpgDBPXUv5UL1FKE3afu1UFB0sfG3O49BLWicG+ S6MqWJPImqjj0EPcf++38+M2MvIIPLwvfKWLYD1slS/MTkbMNJJ+Yt1FBA/u JvtykvF1U8kOg31dhCvjCkmNj4yDWp1atPRdxC5TH950cTKKHzHaLRjbSXQM e82H7yAjP3vX61d5HQQfy7n8/06Q8SqZY78NSzuRoXfVf9aKjAGh4fHcM22E +tUYvYRTZIys+TA93dxGHJ7Na+86Q8bPBaIrfA/aiIiOxVWHc2QUcpRvl1Vp I1bSg/b7h5BROuS7mdCJVqJnb0Jr5gsyyoYPv6etbiZcL2c8Mswl45UAPRPh 183EUu5bp6k86v8vsdAeS2omuKW7lne8I2NMq4wyybWZMN4iJvqhnIwyDg/b cVszUdaW6djaTkbB0f4B4kQTYcReTPbpIqNB54HZg7pNRJdB7ZJgLxlbEkm3 3ZSbiIXSX5GnB8no7/ewbhtNE0FOU3s1MUnG/97pcR83/06U9ej6RE+T8Vei 5DF15e+EEe8xUJ0lo3lu/x5D2u+E843LzZcWyXi9NqdRIreRWCiPeCCwQkYp z4SRgbBGInQtyaF0jYz6kawX2082Epya2So262TUDQtSoddoJFLOly5ubpLR Tqq03oWlkfgfYrUCbA== "]]}, Annotation[#, "Charting`Private`Tag$854390#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVVnk01d8XNYtknudn5r1nTpE+56DI8E0qQonIECUiosEsIhFFkxBCpVBC KlFCkrHMmUPGzCQ/v3/uXXvtc+85+651zt0kx7MHneloaGiObC7/3xd7az/K xCQRRqSRtb9hqtiaKhig134OFqrfHpb2UkXk++Yo2B4Kb+wMok8cU0W/A3k/ 6NtvQvPRz9yy21WRa0rg5sqPDKhhDxCO+aaCP8v3n53/UQjy9EJ+jzOU0VBm vGf2RyUop5mJN52iYOaB/dYFnlXwNrAtJ8+IgrSXC5u9GD/CrdUN4pksBcvb Aj9Pq3+C2hOStZQBMqpd3Vowef0zxC9+XOewI6PoOCV8zKAenlRzzuraKuHK jx23Zn40gy9BaZ/wUsAS9S0OjxVb4I/Kjiw+CwX0u96udPxiC5C0dk66qing H/2Aii/irSAQv4s/6o88jj8r+53t3AZVmj7zL/zksTtst77d3A8ouS/J6B8p hxUqBtO17D3Ayy6w16dSBq9c4ykLdugBZ8vBPtfHMqg7PBi+o7AHcs9JlATF ymDp3XDhLMte8Ki4dkLwiAwWMlbvDb7/Ezok8nJHJ6Wx+YzMfhG+fuASWBfu JUljlcHjzKaMQXBK0w6bSSehatzzsaWaQbg+x19xKZaEqe2vlcWnB6Em+yi/ tD8JL5ypKXHfNQQ8jUT8WzMSKieP1dO3DsGj0gZjuRVJvDtOXtjOOAKnfd1b nlhJolfCi713XUeh7OyNmDNG4tjbVXKt4vooUP8urN6WEkdTuQ/fRopG4Xro 112T62Io96bJRoNmDO57LB6ReCWGXUN/ztSnjMF4bAFPkqwYGu7cfvtf7TiM 2+zSSWAXRdGfpSOOlEmYtdqp77shhDRz3im1FpPAoe4c490nhENMSiaq/pPQ 677SlPhBCJ8p3322/mESXPI4HhuGCyFxJdA35cgU5PR45jlsFUJ7sV10DaHT MMRGiUFJQWyi9sbdn5iBg/Gd2ded+PHjjrJf5hszcF89YbV9Hz8W691Geu5Z EHwur7hHmR/vWu7/c2rHLNAnyAQFrPCh4+V3ljtCZyGxIm72aAIf/qlPFW0W +AO7OELu/azmRd7T9nnMBnOQemNIe9SIB5WYH1UfODIHM6F5nYvKPIgZIwN3 POZAn2nivSw/D55uPyNCSZqDgAbxgsEhbvy451LsgeE5GCl6ntcVxo2+Ync8 71ydh31rNjEpn7mwpaFZnVy/AMVuQ1u3O3Pi6Cl+c9++Bcg8G222Yc6J/xhs Pd7OL8DngVPrQzqcqLSr/5G52CIkUjmk6Lg4MfTxNK+v5yKcC0jAjUscqB7M tlTOuQSiwl8eNOuy4001wzf7LZehdDTjufjAVlTpsjHa7bYMgXPXNXwqtmJ9 +JkW8sVliDr/3n4mdSsytSf93pK+DD/Xv004HduKF68MilRNLEO+ZmS0Ugcr nvwSfGlH+ArIuy2wsnWyoJbzm92SRatQ9Hcjv2eJGVvYv9WyV6/Cp3/0PhOd zOhVMmC53r6JV4YUxd8xY95WVs/Of6tQfjbj81g4M0oUWqcmmaxB+rtBNTFe ZtyysfBvy8Aa2MapdTfuZMKOFNWKWc51MNjNb2F1lwHvtjzh8JNdBwdqZOyJ IAa0ZZe3X9Veh0G/Qrb4kwyb/Sn2j85pHSp6RqWsVBiwz5NVl/fVOlDF43JD qulxdM/Qay2bf8AZkrOkvEaHyzPJzy+mbwDdHm/eV5dosZTMs7HxagOW6qN/ tTjTYqBL3P7wug3Q7VjK5TSnxb9d4ZOxcxvA+tvOYZBEi8GDJXzfpGjw/brO kbEaGgxvyDrU50uDwdk8alaiNBiTGfSNTogWT9N9sXJ9vg4mmqe4+aRpUSqp 2HVv9Dps+XjQUp5Ki7drA30Pb9YdPijbZapHi4oTlEgGwXW4JFU/knSKFh+6 KJdnhf0FzzTBf3JltGh2iIXptdMaWNwvoJgepcPr425uAXtXgJNy76ydMx22 Le2fpZNdgYY34YVnz9Kh688YajHDCph0HdmZFEaHFBvW8ZSPy6Av/M+g5wkd ejfz5hgbLoNmisnRs3/pMMzZ5K2SxRIIJA1GJz6gx5EtX9tjwxZAkPwqfDmb HsXaeE99PLUAwpWRQXYv6JF3PPan8IEFEJ9RPC9fRY+Ff4R/S4stgKyZl8Ob UXqs21EUmFEyDxoM61qDGgzIMFy5qrYwB+a+/EPqdQyoI7Gd9DjsDxzYOtqb 3MKASs3lS35n/sDBjNKOv90MaOmc4HziyB+wajz2rXqaAS8tNFyNIP8BO8qj Mls+RpRaeOrD3DYLHkMqCaEOjPjc+nj9d8osXD1sTDQvMqLtwQLZzJ5pEH7Z IExHy4SVPH3iu19OQz7P4SW1rUw4qSg+uDVmGr43H3+RIMGE/WEJr4y1p0HG wlfKYh8TenxJmSNSpqDyv4dMjXc2+ZWlkFb7SVg3XGj4qsuMwScsaAd5fkN8 duCTdUNmnDU5fvPlzDjIMNFEUS2YMbNUv6Po6ziYfWLVu+7MjPnp5vd0osbh roFkkVkcMzaY+YQ7bozBTjRN/vKTGfWXroWOLYyCj3a6fW3oFoy0jpsyp/sF Jmns86axW1CPLknYZWQEpJgvRTXc2oIs3nHSqXUj0NhqVdCSswWvBqOCT+II KHux0fc2bMHm/2KuPZUbgdFs/+w/wiwo53+nUvvQMBzj3T8pUsSC5L0eOi+q BkHj4puQ1HIWtJ+R4S5+MgisAwr8pGoWzBw+TtOROAilz+lBroMFe1OPJJ4/ OQj8pqXxqhssGNpX+4GReRAaQ2Q095qy4nRj0+6TFgOwZ3o10HOQFR8E8y6p rfZBwL4kpQ8TrCg/rd9DM9IH+enUTp5FVkxf1/v8q6kPBA87aJdu2YonU5I0 13P7YKLk0xK98lYsS5K2MzjaB4mh8b53LmxFrrkJFePwnzDAJ+f5cRsbmkU/ blzHHhA4+15MQIANWTp/d6uL94BZjfXXU5JsWHEn0SRhrRuKA2MoHBpsuOzs EVFb3A3Xfs6M21izod5QrKyUSjeo575xnc5gw46r/som8l0QomtxQnjnNnQ0 3FenptkB+46n/tmhvw0HbZL2POPpAPbg32GWZtswUJGt6OBcO9yvisiOd9iG 9ff0koSL2qHEpOw3U/Q2JPYYX0/RbIcZa2m/uY5tGPnkgIsE/IDj5xeu1V9k R0392eeLXm0gm6wvOh7BjjVmUmNmlm2b+m88Y45nR+8NiZZq7TYI/KvYqJ/J ju+lY2ll6dvgVthxvtJ6djzEeeJrRHIr1Cd8fpglxoFMy1kshdUtoJN/5+WV 9xzY9W1h7OruZtjzo2F9qoYDn/6svpYg3wz7aRiM7Js58Py87oNXXM3gdNCz A4Y5MN99INlspAkML5KCghk5MY5xzrswvgm8JBYf6ZE5MVEt/JH+eCN8dH04 WeXHiVUzf5ON7L+B8V9t7ksXOXGfZu/lEO1v0BDfqqUZzImMzHw/R3m+QUcp S3BmNCc+9izZCbUNMLXVlzviPic+Ws88yqDVAIIv9u0wrORE2oG8ug8CX+H0 8mxwzTYu7G/tDU1frQMdbxf+EW4uZNNE/jM/6mDLeOcTekEuvPR+6I7LyzrI 6qr6TkhxodbK5dABzzrofXeL8kqLC9E7y25puBbMI7Tb0+25kF/58THH7hpQ 5w5RuVjAhXqNV968Gq0GmpiFjynFXGimVPCrsa4aGujdbYvfcOHTfYz8PM+q wWPhYMTsJy6c6Ch9tvVcNWS2y3S5dnJhj7rtvpr1T8D/sCbyMD03CriuLRmI foIVMmcv1ZIbsystU5Z9qmDxgXCIhi03RmwdqmU7WgXzHLIy2vbcWHb15ijq V8HUnLb7nlPcaH9s3HgLVxUMvHFatL3MjXZ9MqocLyqhzvQ1e1QWN57eLdLY OfcB7noch4EFbnTfdrLcLqECknvcBn6tcqNK03M5mUsVkGTuEzG5wY1SQmMf GF0rIE4j6ssyCw9q+axuCO2ugNC1giMc4jw4omj5lLHtPXjEMHrpGvJgh5H7 M6+kd6D75Gna7ds8KMP61evBznLoknzycO+9TX6V7sAQfzkE3s5NnX/IgzSv /S8eWngDr0Oy7x/M5cFGwdLF3MI3oG6dlsJezoPlSU771FXegCJjUnxkPw+a XH1rf1WlDPjtLwb7UTZ9llHLDyazEnjVGhAkq8aLHVIXFP4pl8BhkwtXWrdv 8l59SoLcJXBz+/lL6sCLp68ceVjU/hq2sZ29MGWxiXOodWGur4Gh1NHLxZ8X GTcO9jvHFMMst4mDVSUv9nCq3ZT8/RLaT0s1un/mRWrTlhOMjS+hYtOrBNXz Is2zl+bbXr2E+MAnEjnfeZEi+ep7RNBLUB1g+7kyzovnBp0f8vK/BM+Cb3YP ePgwKPlEQKhxEYybWx4dOsmHEvcvlJyvKYDmXOqX5VN8qEp5keZeUABl9Ey7 tp3lw5w9yycv3y2A6NfFwloBfOjqIP9r7XQBKEgIdl69zodG9KMZ1jwF4DrV aU0u5sPv9VqSXs4vYCjWweocMz/2Wzh4aOrmg+c4RUqVjR/52Y/tSxfIhyWj lclJTn5MO1fkpDP3DFjpb0acEubHe9zpQTN5z0A1oOqlA5UfP2tXhbiIPoPL znI85of4MTOtUtGM+SnwExPfyA83ffH7xZDUtVxIu1dyb+wRP0a/bNRU7c4F xZVw18c5/BjxlnfyV3ku6L4U25Aq5Ef520LFNVdywUnJXFn4Ez9+lx97bsKQ Cy/4C2O3/OZH6+/KMor8OWA87W88rCWALJJ/lkmHs0FUTTxyi64AKtSojfZq ZcPUuY+VZD0BTM5LUq0UyoakRU7dc6YCOMVCw7D2Mwt613OVN+wF0JvBxVDV MwvOsXXzCEUL4GuxkqQrCZlwVxF7zboEcG0qjsbxTwac9hgR9uoTwLg227Dr HRkAz2KPJA4LoHDAqfiOigwYUu1o7JgWQH31udTmGxmgvPNclQuDIO7LtZ81 UMmAKsPMnGCqIMbsP6C74ZMOE05bfF4GCeLC4ZMNH3jSYCp1z9v34YLYeliX SebfQ5juCGb+Ei2Ipj/onq60PoQ/5iv3+hMFkfZB/12DsIewtGv8I3vOJv4U 8cBkIBXoeOv5TzUKYp7nDfbfuQ9A6OONMjGSEGq2r0S9srsHwhtfGBTlhFCC I1AzSOceiOpsMdckC2E5W4uyn8A9EH8RPGiyXQj/9SrI/266CzL3vdkuGAuh LMm9fXzfXVD1PXS82VsIPxzyfccBd8BQRoDuaqUQOt/arXvOJBnGHI1ydn0W wrWV4raLyskQm+6/f+aLELYvnaF9zJ0MLeLtd23ahLDwa6znia7b4CB0R4My KoTCp37qO3rehgB2EeembcKYJcRzzfvuLXi6LF4jYiOM16VMS96yJIH5DnPP RjthbNv/hO35bCL8OR/EG+EojPJ7mA3ediSC9txPhykPYfTqlv+ikpcI1ZNp KxVXhJE/0CLqlFki/ByQIrtkCiNH6kkt7ts3gfurXNyLaWE8+sks/PDuBPg3 rZpVNy+Mqbmnx4bkEmCce1f50IowHlN0DbnJmQCV1ubjggwieOaZWOGeoXjw GfI3DBEUwX6GF6s01+Ohda3mn4WeCI4Z+jd6f74ByUoeZ+duimBlTU3mUZPr EP7f+chtKSIoEH5bbLfMdfDyCnog/0AEb/6wVT/wLxb2FSd+OfpYBIexi8pa FAvLeuXyH9+I4PKJeO9q8ViwtdnWlzQkgs1NVg6KG9dANOr5AS0tUUw/qdX+ pz8K8vKfVa3oiOJQVOSFV1VRsLPtidZbEEUNt5H2+1lRcFgqR3SPsSi+NHOW 7zgVBbHlaaMWx0SxPEZSjn7+KqzNJASfCRXF1XjF54vsV6HTxvdFZoMoHm1i fKZ1PALcgs9Ju7WIImVK4j2xJwIWs71uk9tF0W/sjIOLUgRwz5++VNgviqF3 Tr3mWQoHkzjnfRXzoiic6Bg/kBAOpZVWfV3CYrjDw+6A6tcwSCFrc/K4iuGx kg21eJtQsDT9Gv/OQwwrJrtFiwxCgdvjBJe7lxgGiyTyzlBDISYvmvtDgBge +nc1/zVdKFxR7OQ9GyuGjxLjVQOfhcBJ+YtCXwrE0IBEx1DIHAJq0m+lwv6K YfpD4SK9+0EwpW/xSJlWHPfJ9A4k+wVBnuOwdCejON66UvJH2CIIZDK2yapx iGPPV66ebKYgECQdl/9JEsfjN75zN/pcgX/iG+RdRuKY65kZpmN1GeqE9bbP JYhj0z3uBQ6di9Ao/lyOIVkcEzuLDvfxX4TvUmKCfPfFcclLido7Fwj9Siur WtniOGnbanciPxCWdQoqAsvEkTHO1ClINhDkjpLM6AbF0cNPT3RUJABC79E6 cWlKIEtP7spveX+Ienj2sJS2BO5/lya9weIPcY969moQEmhiOrmyc8IP7jwp VbDcJ4GWSz2DEgV+8OKN91TKMQnk1b+295WuH/R29QdIRkjgrqyZ5hbb86Aj Whmv8l0Ck5/3EncKfGBAWqZ3rFMCL1fYcLTf8YFociQ586cEqv9bitQI9YF2 HZNqwTEJHOWI7odDPuBv07xG+1cC1yKuROYtngNbU2+NcU5J5NbtVMzTPwe3 ozbtvpYkPo1M+XJ2ygvcY9U/CWlLosTSwm36Ti8g4gd/++2SxI7uFIYXn7xg OHmvthpKYsmhZfODD7xA8zFLa5axJHqkT5wt/c8Lmj8lsNw4Jomjo+2is85n gZ0+w/dEqCTieQv5KdEzwLTy/tBsuCR6klR/9i2ehn9TPeohVyWx9sP+Q4xN p2G6U2g2LVYSt928e3og4jQ0Fiac6bstiXpqXMdGZj3gpmOIi/0TSdxVFcLQ 2+wO/JUO1natkuiUqVI4WOwG7CVXdkx+l8S1sXW127fdgCn/Pv/lDknsLzs+ fs7PDZbutLfe793UI++kkKflBu3eByy6Rzfrn1zqZyl1hbskNDm6LolFU+t+ 9p9cQDxEQtdGjoSpN7Svr66ehHyfLVI9CiQsIc2YsfedBMJllvkEmYSZ3Bx3 9nw6CXamVS1uqiT0WHeTFYw/Cff5XD0u6JCw1UXawEr+JAjl5d9N3k/CFQ2V qS3HnIC3ZfdKm99m/NHfs7I9JyDzk9xPmwASsslbB2tXnwCNEo5PPRdJmMHj FOD+/AQcfNAfPxxMQsNTEbwyoScgwTVCYeEaCS2bhztmFU4A+9/6I7wPSfhQ nynpx0UHYJE9VnzwMwm3kzZu5256RXchMHlSS8Jf70gThNFxqNsm1UtfT8Kv zMEdG1LHIXbxF+OrRhLyCXo+pe+yA/YaH0uBThJ6tktc3/af3Wa/x8x3TWzy X61b1nceA9GCMnVnbimkl7vjs6JsC5eyHlS/5ZVCU/nsvekcttBzJ9iWX0AK n/4KfuA5YwOpoYahn0WksO+VAjmg0AYkDzc3KcpKIS21uH/fThuQXRrzmtoh hV+MvcKfmliD8m6h5/52Usj1atrFLtoKiqRPrdE5SKFZXjW72Gkr2MlaahTn KIVCP0Ty6cytQP+HdV+mqxRaKDixA58VWHmncDV7S+Hbe3q0/o8sIShLwJcS KYWf7RK6S6sPQ+M2fu3+fCmMWF7ZbSx/CCznnSNOF0jhhrcG0xn2Q9DZ+app qUgKJca7uAsWDsLQY0t39lIpvFWgePDOx4Ob8//WvV1VUmh4/Fj/sNNBIPnx /rv1QwrZ8ttfmeZYwLle7ioTGmlUYkl322l0AGqqj73No5PGqAIi8IrGARB/ nv2alVEas7kv+nRLHIC6IJ2ndSzSyM8hf/D9rDlIkRxvmfBI4y6OkL8bR8yh yanA1UROGl9bf7CVoO4H1TFzNhMzaTQz4K6wWTaFyKY7THn7pZHZVvuZ73dT 6C4dpGG1kEaC1edZyUtTiLrmv1BrKY2xkyj5xtsU+sgPe43tpTf79+jpzEkT iPecemF8ThrJJB3j3gljmJ6LtTROkcawz5NqOcz7oLs93erBXWmcqDeeE/lt BHVvi4/M3pdGyZap1IIGI8i82mdzJ10ahYWFePVvG4GtiObxsTzpzXkTJDQn ZwSf9Ltcot9u6gmQMPLZbwj3EhQv1A5I4wH/Bd3Bl3sgyo8IEBuWxuPP6l8b 398DfkcPBXr/2qyXnXL6a9geOCB7+ZLQhDQeWfiySD60B5hKG4NPLUij7OTV Jr05A/Du849m2SKz6b/duIp2GoCRSvVdY6oMav1S8vz8Qw+smfYdblSRQb+i he01FXrg3lO77Yi6DAbzxaSP5OpBXMzX4JM7ZND8yoUvFy/pwfdfrS5BejLY f7F2H720HpxMG1R/ZSmDvRYNgS7nEUK5aL9IXpFBzbec5cx2BCSNhoY/DpbB INVbLsPbCch+z0Aoh8mg46R5yAI7AXVnthTsipLBNdqX9E8/7AauOo5kq5sy +Fs3QtNDcTekhYo7xWbLYKLYJN8arS68m9u1ttQgg5aFLx+9btOG9PrXjoea ZLByT71UVrE2hGdp1OW3yGB7zj+akmRtMD5CvuPcLoPdvhLy/9lqQ2uZ8I6W fhncrsy8W7V/J4yHrJzLn9+Mp9l6qGhhB/Bzvh4/KSyLSpe+t0Ts1IKVUfWD FaKyOG3bwVsvpgXdH/JLRSRkkbchNVCdXgvSfbKjmqVlkVXor5B9w3ag/Lgl h1RZtLg8fkHDZTvop/o6iqAsOhsFtT6+pwmeFPXOJmdZRKuKfxWiGnB+SXjV 3k0Wh2jYF77Ta8ClSnrhKXdZZLod77zttzrEWLfZsHrJoqgcD1tXqTrkhF/o 0A+UxbW98l3z1uow0P2uvShOFr+5piT+u68GVtdNf9x6LYv7ykzKLHepgp21 5pJ0mSx+atBeosipwklpMYHCclk8L2FUK8GlCj6lU1YNH2Sx5YKazvMGFYgf TvjOVL+JIzJQUEkF6na3t/n3yaLv9w6p1nEq7J462WrDIofqu3gIsZtk4H9j lFG+VQ5VUxROxnqRYeqqkpcEuxwuG8W6ypiTIZU0s3WYWw61GC9CAxsZ/h2+ aOAlKofXfOqb6K8pwfs3CYWRKnLosLdSrT5GEfSi38UXWcphQ27l7pgn8iBs lX6c31oOQ85nC5TFycMfqXBKgK0cMujUM7Gdk4eMcuMawl4ORWi0AwW15YFu pnWj1k0O1Ubc+L/VyEGV1W/PvotyeKtuoiluShb2ygj+ty1DDvHQ4XE4KAMv Jz+RTmbK4b3Tslb/tGVA5rXPYlm2HOqfmXjVQZIBBpNvD92eyKHX232fR2al ofJs5J+ql3KoIZDvY5UoDcSb+eTAz3JoXhga49klBVoHmwZ+TcjhGL1HdGoQ CbJFgl4T03IYFRUS9sadBHzDlNhbs3JY9mTVY9aSBPP+UdsNFuXwwymVhMcU EhQ+gKjUjc33mhOc1+6SBJWxZ1RLbnl81TZa26MrCQrB1y5U7pDHtiUDSrmU OJTvymI005HHJGJnWumaGBxYen+zTVcex0KvJo61isEFz4Wno3ryqLLKPffz qhjUHHPoZzeTx2IGs3CJGVFw09YyOeogj4wfr50rrBWB3D/9IvNR8tjx+gnH pYdCQOT/zbkcI49fGRMXDlwRguZTAlrMcZvnE+m/HLATgtU+swPCifI4scPf pVFk8zP99jocH8jjtWpOu9q7gjD+5PpkbIE8Rqt7iPikCYCSs/Z72U55zIWP Z3Vq+eCG1P7VsG55vDEto/Ernw/mfzpuH+iVxx0NvZ+KkvjgnW3sk9RBedSM qH//xIEPDh74mSwwKY+ONwq6uVd5IWBXhBcLjQK2FgqyPFDnhRquJtKkrAKW OY8UZJZyA/Xb8DFTBQV079n/H8MjbrgZu5qcq6SAl9z+QFAsNxxjlmF3UVHA mykT2dX23DD912+1d6cCGoV4jCYzcwP/qGhLo6kCrsZNSygc4wLnd27hL70V 0Co0wV5OkBOmzoz77/XdvH9J8DAvPSdcEDvt8d1PAdMZ+8p3dXPAtUtnDy5f VEAxv7h9TNEc8ELHT1I3UgHtf68IyQ6zw9/isPKquwp4pGDE1uzxNrj5PHW+ uUoBM/CL6ymLrSBqLznqVK2AjEdvlmZRt0IWe0bXfI0CrvT+6OFk3QolZ7Iq +RsUsFHxb865KlboIT+Nt21XQAfFuRy7naygkFNKGZjY1KOZbvpAiQXep7We nOVTxLmxnGR1FWboMyPZ+wkqYvv97YnOXMxAs3LGZk1YEfVG/na/m2MCfQvm /YySiljoePX2YAkTVNPq7BBSUsT5S677Z/YwQb3jQxY9QhEz6yPoJ50YoVPG PT/eRRGHblS5qJXTw1pjcQ7fKUU8F5nv2JJBD6KX6R/d9VDEyuWxlVvR9GDX dj8500sRzcUHDl46Qg99Ed+CSwIV8W57kFztPB38GtE81BeniDl9te9gOx3M 52wsqbxWRO1CibC4ehoYsTJMiy5VRFST3naqhAbaGa7vG3yjiIts+hVHM2ng jYPwndsVilgWza4cfYkGQgW366zXKmKKiigjrTINcEa5X6rrVkQNy70LyUob BMW1jcaZTgmlMjI1SGN/CXE+0dx3DEr4YS7e7nz1X4KzytFCkFkJ03J+isw9 +kvMic+kf9mqhHveuce52/8lyr6zGqjzKSHlQN6wQfsasc8QIzbklfBqUt3M +aZVwkn2Ccvd/5TQxmX2842+ZSLw03F3uQNKKJhVwLqzYpmId+b+UnhQCct+ DNuwpi0T5VkBsV+OKCHf8F4DisMywSu3j2P9hBI+lXxobT+wRFTLDfM6+Cnh 37gW+cNTi4SSgoSk3EMlLHo+/5dbeoHAmubgwnQljDRa405hXiCs3CL7iUwl /HeJaxAn5omwnMmMI7lK2CLRu/T31TzRrVAuG12khGPuWlNCpvNEnKINeeKz EjoZfUl/f3GOmFVK1Cqc2cTVR8OuLcwS7fW4l2dOCakXTHa//TlLVHhOHfJd UMK+7teerHWzRFyhsbfWqhI+/Pzi9VzqLKGkQ/O0jJ6MGabMbv+MZwlH4zOk Kn4yClqIT7dnzhCtrkZsrbpkPBZN1nrYMUW8YVkQ3g5kVLUofkt+OUVkPMlQ vK1HxmkVufLhuCnCa3rd0NqQjCtyGnr9e6aIbf4vQ7rNySiyldVnpnCSMIwk LQ05kpEge0Vg8gRRkrnWvxBFRp47k0u6QeOEloHvkkkMGc80nmorsh8nXvVP sKVdJ6OE+Y5dB3CcKBTv3WFyk4zMt/6bXKYdJ56mVFxPvUfG3Ip8PsarY0Ra bIS2UT4Zk5YTfAeSR4loX46ElBYyOnnMlMS0jBBbeKKyJ9vI6H87Z9mhZISI LKAp128n49jyo+tWD0aI8KnZkYluMvZJZ4lluI4QV9xadfVGyCigcuNJ8fow ce7YndGxZTKuhRyseKkyTNju2fSK4hS8HWD8hTlvkFhv3cJeJUnBrNS875nx g0Sa81SXiTQFeya1cxz9B4mRyFJ/WwUKHk/rnIe9g8S5WvPnAeoUtKb7mnZp YIC4tv+SeIkhBXN1tKw7pQaIMuu2v5pnKai043ksd1kfYTdWVlfuTcEXZxgd AjP7CJrAtJQ9vhR08Nbj/RfXRxje89A8HEDBRMOMG9Yn+4jmHtrTPmEUvD78 eNKSs48Yd1TuKkim4IiGyLnHnb2EyJmrpcoVFGRXQcs+324ibsNle0wlBZ/G li3dPthN0N00LPj1kYKXX7SN+al2E+PFjLlptRSMY+JaLJjoIspowlO4WyjY V/bAlMO1i7BNCvZfHKZgTRJbkq5TJ5HyJmD7u61U5BG4lyJ8oZ1g229TIMxO Rcw2kXpo204E9+2k+nNS8XljqZrR7nbCjXFZRpWPin1aP7Ro6duJHeZ+vBni VBQ/YLJTMP4H8X3g3FyEGhX52dufP3vxneBjPV3w3xEqXqZy6NuxthGZBpcD Z2yoeDE04ib3VCuhfjnOIPEYFaNq3k5ONrUS+2detLWfoOKHQtFlvrutROT3 hRWn01QUOinfJktpJZYzgvQDQ6goFfLNQuhIC9G5K7El+wkVZSMG3tB+biLc zmfeN86n4oWLBmbCz5uIxfxXzhMvNvP7stIeSm4iuKXal9SKqRjXIk2WcWsi TLeIib6toKK007023NpElLdmn2xpo6LgcE8vcaSRMGEvofq1U9Hox56ZvXqN RLtR7aJgFxWbk2Suu5Mbifmy31HH+6gYGHCvbitNI0FNV302Nk7F/4oNuA9b fiPKO/X8Yiep+DtJ8pA6+RthwnsIVGaoaJnfo2NM+41wuXq+yXeBimG1eQ0S +Q3EfEXkXYFlKpK8Egd7wxuI0NVkp7JVKhpGsXm3HW0gODVzKXbrVNQLD6LQ azQQqWfKFjY2qOhAKvviytpA/A8LX+DJ "]]}, Annotation[#, "Charting`Private`Tag$854390#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVV3c8lt8bVopUeJe993jJSIT3fc5tZGdTtuwiibJS9irJKEQJISQrFCXK NyvJzkooihDZGn5+/zzP5/4857mv67rHuc8RcLpg6rqXhoamaPfx//f6ePt/ wjduYzOlmf76ncEy/dnsQWpDvmjuiRJp+ZGtLLB8cGIfikDzF1ILqp/6yPob l3ykHUpBvccKxaWqYmTxi2wpWx/zEKE73t1sNV/280vDC6sfq9Dmnzt626M9 slrCc5+WP75BRuPj/QyLHHJbH5XuLH3sRXntoic71LPkmjUe5ffkfUEO0Vp3 oqty5bk/1804SS2g6zardprLt46SvBxK6DVWkG/o+v2gd5cUUuS0XhhabCIb Rx7XnJ9ex4YzZJuWcX+RjTFDmlSyqeKN/NAPezn2QFpBcpQwvZ4S2+0v8an3 acHhvMS4dibleKy5Lta7vh849Hq9fP7jUfZTznVojzgAf3u1lp414lQ0f24H e385CMVDJ2fOVi2rhFNMznAeZwTh2kQf9opOVR377F9K6oywrGJV2jnQrcoU 9iPSwoARXhFYLcTe9Knea44uTHJkhJxYIKQpjqo+16v/QRfPCI0Fcqn072dV l04L+a8MM0LoYoj6JTF6iv3lteudV5jgBRfk92SoU0TS1bnnopkg7WDGfHL3 Ccr881tP6JOY4Hx2mspImi4l+I9Et3o+E1x6ePjqeqYJ5U6kPUtdJxPYZPum 5pc4UjqTWx8U8DBDuVqLf8znq5TUpyS5ZjFm6FgbyneMDqdYD5x5MyHHDO8M O9QDb0ZRvrP/+cqlxQyTZKeUV9oJFNocWckUb2Y4ZZzDVPM2k9Lx+uqL8kBm UL/x+NUd9weUpC8dBu8jmMH8sKCnmWcehVfM9cKBdGbwYBPmVjtdTJnWqaIR zWWGLVd14kz9E0rpuZ1kjcfMIORbozF9oZKiUna3+lojM5w2FWnU/feMYkiz T9uhlxkC7/1dTRFvojibeg+jaWbYF3I7NLv5LcX7ykPBikVm6DY5wkFVb6cE 5g958m8yg4LttHK48XvK65kY6zYaHAT3v2xq2NtD0boiEBq2Hwcf+sFss6GP 8o755cPjB3FgmzM7FDg7SDHOt2xbYsIBNbTeQit9hDJ4fHm+iIgDYcf5XoOx cYrN+xv4M+w4iHO0kz73fZIycUZUkYMHBwa5UbHRbV8pbutN1j0COEhNYq/t 5f1O+XHdJjReFAdybOVCBv9+UHz41h+qkXFgnJ0oGYItUdaeJrVtyeCgMefz naMjvyjBOuSFSgUc+OG08gQm1yg0n97izynj4KTTqVNXXbYo0RcdFQUxHCTT 3LJVC/xLOUj323pEHQcft490dnHsoSZl3glN0cYBptIf0zBES2WRkc3XM8CB Fn+X7/UD9NTM5o62vSY4WNXipLN4cZDKd9p1od4CB1a+jUUidMzU/PkdvJ81 Ds4f2iqqoiFQJcMzFckOOPj7+o9U9VcStZzlmM0XZxyw/hB9F4vYqQolH0Kz PHCwwstSoibMTa3HzuWbncfBkIoqa6Q5PxX17Ws/5IuDrA9pi80rgtT/3B8s NPvjIIn9TXvnPxGq7h9lQsgVHLQqnaCfj5GgdiX1KyqE4aBsht1NKUeaai5y wWY+CgcKQl95d2TlqMN1DGH58ThgH7Snf7RylGpvmJ9vm4iD2SMfpFvElKhf p7B2UioOln6aZt3+rEI9GzC80JmOAxsWJaqSLKIuHrpEiL6HA0NHMQI3hzrV L4dJiZqLgzdL1xkY9pygbioU26wV4IAkLaRy1lGHeq1dI+xJCQ58G4OLz+kZ UGntx/Ndy3Fw/OTJiUfnjKlxvwLbeapx8ELBf9mf0YzKFEtcHHiOA5PLBlI5 3JbUVK4yQmIDDi6f+OUeX2xFZa/QUdJ6g4OB45kPnNvsqPc1v9j8a9nlg9P6 Yqhzhio4fDWs9h0OFt9z0NUwuVCLzrMXeHfjoAAxakhpu1Ol9z5tFx3YrR/W ylP793lSq9JOLo4P46CD5cSncOsL1OPk74T0cRw0FCTeKZTzpTY0RigZfcFB fgONSRTPZaq6OY8t/XccsAzLooDwQGrr92dhjfO7/eH62L3VJ4RqcNW0IGAZ B1srmpVzYWHUXvxCu8w6DiZyr703EIukniqMXfy2jYPuhYs091RiqGMqgsSc HRyMXXry3KIznur04aXS6X14GNm6YdqydJP6zfmULY4BDzqyGxqvHJKpXpvL YW2MeFj8HFr9TeI2VeWiG+sMAQ8rdef0uavSqQfmRh7TsuNBatrNpXooizro ZKQmwIOHVIlq82e2OdSC0eZBTBAP/rf9NnxVHlIvmR/3shXDg66MREpNRiFV /X3pnmApPJQFdT3fm1hCxWkJpKfL4SG7+kfGB4Vy6virO1I1inj4x1Iyy2FZ RS1VOvimVxUP6vNKRbYJNdTgimunlgAP+vQCWJFpHVVHYmWeUQsPH7WtC5Te NFBZ89wjyPp4WLtZnHM65DX1K+cYm64xHpoZUmP9E/6jVqUaP3GzwMOtkIyW RZE2atjht+pR1ngwAJ9n3Y6dVKNo5aFcBzw0jt8wriztpvL+e3K+0QUPR2MV bC5k9FHn/QVpP53Fw13v7+ni9B+p9T/TMra98ZBvZFvYxTxKjfM4dIT9Eh4q zB7SnX7/mWo5Gdp8LAgPobylEvXlU1Rh69XTZtd2+TR+pqtYm6b+6vVY9Inc xWPpfO3dNUtt0v8UmRiHB3FdsUelZovUxP9MOEpv7uoxLI3s7lmm2lJbytpT 8LDTWMH2bWmVKlmrovktHQ/x2hfObGRtUreOlA/vu4+HZFyfecyPP9S2R0IX BPPwUJdpqyj/jwZL48/YB4/w4C3xSFBpkxZzuXs4064UD3telQU9C6DH5Anh Mlcq8XAt/BUNy+1DGM2Ntf8yavHwNUx9j6sCDuuiPWdd+wIPwQdYruIOEbF7 IeM/+5rw8M7J8hjdGVbMc800evktHloSHqqnGHBiKt6tnMzv8LB/SPTB92+8 2IFvqhVS3Xjo4wDROXFBbNCh4oTewK5/4nKq+ikRLH9IeNR9BA/rJRwzQJLA fE3u+kR/xgMwRcxOBkpj0MFI9/ArHg4/YwtUM5HDmDQisppm8SDNn3q4z0oB +/RiXXZ8EQ/Oz/dc9ZpTwkoVPFt+r+zWrxfP0CQnBQt+8tmGYwsPDnIBo3cj AdMRNV9W/Lebz3vtCiIeGhjrg7YYc1oCvGZqXffo0sK+slG5fQ8QoI3h5zHe 93pYVVJl5S1GAoxU2uxsXjPCwhhEtZ8QCLCnxMLzSbgpZhSROdbBRoCoe/sp KY0WGO9vJt/v3AQo0lKRGky0wub9IunpBAngojIlsXTAHquf37gnJEaAq47U mJmCM1icq5e8mhQBBH5tv9dvcMEsxyda7eUI0CBW223i4IEJn7KwC1EkgOag O0Et3wv79aH9111VAuhdiIg06ffBmnSwuGew6096yIOm1Q9LfF3FM3CCAFk/ 39ROUgMwWxWxp7/0CEB4LHCTx/gKJvk0SwdnTICH5k6qlw+HYVtk3Li0BQHO lPo9EhiLwNbvc4YftSbAgk7+IxGOGGyVWURY2YEA1PSBExFf47HlcJlWzIUA 8Z5DMUWWidjiivI5zbME0D5c+5WnJRn74arJqOdNgEK5b7yufbex7x8NK4z8 CFD7+klUr1sGNq1rZWYRuMuXX6DZO/0eNvXCed36KgFGq5JCuZpysM/S3ncd IwgweG3IwjXnITb2IJDiFkuAyzF297h2CrFhfORnzwQCdFyat11ZLsEGI29G XEwmwOeI8Tc2KeVY31q6SEAaAXTaCtZwoVVYt3teW0gWAYxEJM+xl9Zg74dL PSNyCGB7PJqvzqUO69B/xhRXsMtfrprlR1MD1trwuvJmCQEOGId9OeP9GvtP ptM8tZwATwd9w+54/Ye9zh3cyKgmANf+486nFluxV8TJzOw6Aog6+7RSD3Zi L6J/UPNfEeAoWb7V4Xw39nxjbaK4mQA8/K2GF1AfVnOWJqq8jQAevp4vAm4O YlWjB8Vq3hNAlUs55rXXCFZ+kqWjvpcAGRPllpT1cay0ke9800cC0FA2624J TWHFcpK4ljECOOY1jvTCNFb4UOHpu0kC1LGV9a3OfMcesiDLnhkCNP88UOkn vYDlxOpuDf4gQLJXSe4c2zJ2f8vs3tgSARpP+m+R6VexTE97NLW2qy92+Ztj wAaW/slj6ts2AZysg8KLr/3Gbhv5RS/sECBRwtMjkIsGJb++Kr6yjwhMl3yD dT/vRYlH495tMhDhUV/Tf7e46dCNghTvf0xEuEXOSuL9zoDi2O7j95GIsHqX Um5lzYSi4x9VM3AQgZVmb/z3VjyK+F15ipmXCNx7mU7/7ieh0PMvt0lCRBAr G7u+5c6OQj633OcUJ8LIvvb+rnRuFGTSA/zSRBDXSnvwqJEf+TePfhGRJ8LF zBDOpWwh5HdsJoasRISods5W3j+iyOfRkoQchQg3mrIjy+clkTfH705FNSJs XItMex0vgzxv7PehaBHBQCrd1ipQHnn8ZSaq6xPh3nj/5dncY8jtAmettjER lP/0mmRaKCPnSWGrkxZEMLyUnddVQkWOZjJ/TK2JULsgf93NXg3ZvVV+cNqB CFYqOk/KLTSRtZKmur0LET5ce8j033ttdKrYcNr5LBFe3S49JDGmj8y5rOLO ehPhwsJE7qKBMTK56Uy+4EcEV4sEqUW8GTLcOd91KZAI9qI640MnLZH+xcCL wVeJELhAUmYkWSOdLxGksAgi4JTsvUaC7dEJi5vPomOJQE7dz/jz/Rmk3ppu fSOBCFXuFlvyHS4IKef9TUomwtNww5/f1T0Q5XFpTloaEWKH/37e1PNCo/yP H5zIIsJe2ZXfFcY+KDitOHv1AREo77Pa2d77IvbDRfcf5hOB/2GFiWbBZfQs vPCeafGuHtWdpYavgchyIz9rTxkRym5LeS6nh6BVr4eZFVVEWE9zrWVwC0Op U7l3HZ4RYU3w9a+A1ggkfzong+klEbQYj88ZB0SjnvfZ6Q1NRAAVw4fpIXHI R+N+mtdbInzTnqalHb+BmOuy7nB1EMGs+Ffi49xbqOxI5u2OLiI8ufnMz3wm GZ3Mz0gN6tutp+3MKmO522ieIz1FfIgIszJcmkVVaUhi/+2kmMldPDeXxSKL e6gtOOXWsZndfKYEZCj6PkBuS0mJX+d29azg3xrZ5aL80ZsJ6qtEOCnKLyc6 nI80TBJuLG8SofQxF13to0I01XL9es7fXX+mioPWwUWIvyo27h8dCbrozZ4f YSlFjWIxsU8OkYDLcZPvWO8TZH8/KsYWRwJuNbofoVfL0R9CZPQhFhKMJP0Z dIivQFlx4VH1HCQQybRFqtqVSOVfaORZXhJY4kxH929UoiG/axHsQiQQDhi8 /y29CgXMhoS3ipGA5vyeIwESTxGrw5UwfykSVBzbbCx7/BTV9AeFisiRwIz+ CPrEW43M9QKv9R8jQabUkcI7kdVopdH/aqQKCU6WZPJkj1SjlGOXQ+QRCd5x 5HBOCNcgucd+VyY1SJCyMq1v7VyDuvl9g5N0dvlMVjST0muQd5pPEDpJgovX 9oWxva5BjIcvBC6akMCV4qjsPFWDSsPPB9y3JAGBKkWd/12D9DY8/Q1sSKBO SaNLZ6pFs17nLv92IIE2QUBDkasWxU15XCpxIYHVXb2VeMFaJHba3c/qLAly b044IJFa1PLe1feANwk0g5QeLQvVIlcNl4vPfEnw50N2hSRfLdpX5+TjFkAC +qd/7V3YatHDI2cusISQYEtk/CsDYy1Sz3fw/i9sF08TJxxEU4smOOzP+0WT wNM/gGHfrxoUesvWS/A6CWp3o7E8WYN499t49iSSQPROjHdYdw16GWx1LiyV BPwVjIbTDTVo29XSY/weCTIiMjK+3qlBd0fN3W/mkmA4NetEe1gNOm5i5kYp JEFTzIARp2cN8qcYu2SWk+Cr0dUAZ6wGLRP0HC3fkGAqNdw2abIaDXkJdp9r 3Y3PvVBstbUaNbVso9DO3XyosDmhsmqUFPyYr2iQBD4wd68suBrJTh3+vDVH Avd21excYjXyrvxgd5/IAlMPdA5P6TxFc0YWNl9dWECd0VfZs60S9RZLv9s8 ywL0hOctZyorUT0tnSrjBRbQ3iYuXs6sRPHPajkVg1ggYE4xY92rEonzsY/E 3mSBj1/yViyIlch9ceQ0uZYFfv0873PBtQJ9TXC09KVnBZogR3MFShnynpMS lD3MCppCrxRy2crQhvbWwgKOFaK5Nk1VVp6gg7Qp0Wc5WYH075LfUskTJBvU XO0ozQrDBNMrbtxP0FVXUaKRGSvk1ayKGdCXIlZs/gP5AStciegNz/5djHKy nmfNPmSFD+8qFWTHipHEVpT7oyJWiHHcnv/2shhRqnl2BKtYwdKDrrbtWjFy ljQ6wvmWFez3fC7X21eMKlirEg78YIW4f2RhCdYipPszQHdakQ2WZpY3BcwL Ebccb8wBChtwZMh9H1csRIu+/70hq7GBUMRt2Tcchej2Oo7iq88G2gs7tL8/ F6Dxv8VHdhzYALfuqiXrXYB8D48ROeLZgJ3z+e1ryfkoUwLGDUbZoGkxkcbp Vx7y8pzh9JlgA7sB68ibw3kIPUk4lTq9ix94Nmm4KQ99lR3uHv7JBiLyK9m9 t/LQkeO+zW772EG52GFZQyYPNWvlF4VJs0OcoTFlxy8XzTsf8KsOZYc1c5eu 18QctJit2dAYxQ795hQ64X8P0M/hMPp38eyg/3Fv6Vb/A/TLaCtrMpUd9tyf zNSIfIA2VOf+Yyratd9G39ebykZ7SZ2sZ7vZocT7FtOP4vuI479b9TwCHKAw tBVXY5eFOHfe7ZMQ5QA+5mCFUJUsxK1ywEiBzAEvD/cd8WfLQrwVYV/0jnHA v3FxsR89mUj43sXDgbocICJwbmhOJxPJXjKz773IAa/NLr1iRneRljDb3tg3 HOB6h0rx1UtHs07aRaqtHPB7q3bgypF0lJAbYLj0jgOGNs7veURIR328Q5lW AxxQ9T7B+8xoGnLkuHtU6jsHcJ79rO7knYaCmLhcexg5oYCDeP1i5h1Uusnb xmXFCTcF9Z83MNxGRkpG3t12nDBg+Phw+XIq+nU5lBTtxAlimvQaDcOpSHnl s+OiJyf4jIm9kylJRS0LOVtN1ziBNdgk7qxBKvo8JUh2y+cE5mwXRUJaCiK8 F02s+MkJNm8NosypyejfT9mCjlVOyC72mv0qmozmCKovv25xgq2Ee3gKLhm9 OW00x76PC84/4anS/JqE/L4GaIWzc8HkvoptmptJqP932z8TNS6Y1Qrovth6 C6VLel5YSeGCN21t+TZ6N1HUycsxjBlcwBaVxkMVvol8fELvi93ngpSP1vLG /xKQTm3qO5tHXDANo9IHnyagTbWXYv+94ILNM0kXW3gTkLUV48Ttr1zQ22Pp KLFzHXHHlRsrKnJDrovi0K/JOFRS9qR5S4UbvsbFBNY0x6HjA48VGxA3HPWY GbpXEIfMBYu4NXW5odrAVWz4bBxKeJnz3cSWG17e4BelXY1Fv5eSw85HcMN2 kkT5OlMsGrG6VJHfxQ02PfufKNpHI48wXyGPPm6QWuRrxDSj0XqhTxp5iBv8 Z887uklGI8KqV0jVJDdE3D37jLgRhfQSXXWaVrmBM9UpaSo5CtW9sZwY5eQB JU87Y9n3kSiDrIwjuvOA7fMduSSrCGSh/z7plScPNC2McT/ViEAEzzP4cz48 EMaVSlqSjkA3SuIJr4N4wOxfbNmzvRHomsQI6UICDzxMTZINfhKOXMSucLyr 5AENgb37qujDkZxQg2DkHx7IfcD5VO1eKFpUN3l4ZA8v6AiPT6X7h6ISp2mh kf28cOfa81+cJqFIOI9RRI6ZFz69x38qpAtF7AL2Yp8FeMH+1iCh2+8a+se7 Q1bV5oVi7/xIFcurqINT7dhKMi/0ZBHWmFWuoG7ectF96byQOvLUfIL1ChoU 5GFnuccLGz6S0uMrwWhScmtbsZAXFqz77c6UBaNNlcqm4Hpe2J+o7xwqEoxE bQQM9n7h3Z1natzfuYJQRNYeZ7wCHzB8Kt76IRaA4h5cMBdU5gPDVzlCOwwB KPHhpxNHMT7Q01/YOj7vj+4+rhO30OEDi41PX/gq/VHFi4uLGbZ8QFK/fqKG 4o/GRyeD+KP5QLVgqbfP+jJS4X6TJDPIB+nl49jdSj80JSQ8PjvCB1ebrJiH 7vqheHIMOf8zH8j/24g5GuGHhlT0Wthn+eA7c/wkMvNDAVa9v/f84YPf0ddi StZ9kbX+xaNzOH4gUEYkStR9UVpcePZLRX4ojcl4d2HRB51LkH/LocwPfBtr abQjPghL+vLDX5Ufhscy9lW89UHT6SeU5YAfnpttGpne90EKjxj6C3T5wTN3 /kLdSR/U+zaZ4ZYtP3z/PsS97HoBMdHmXToTwQ9w2URskfs8ottqNFuO4gdv AdnPE+te6N/iJ/nwWH5of21otr/HC/0c4VjOSeAHxpRMr6loL9RdlXx+Io0f 1OTwtjPLnijFKdzN4TE/qDaH7xvvPYdY3zietuvnB+d8maovtR6I6fk1pYVB fvg9+1cuLc0D0ZXdY706zA+T9fZzvv4eaOPuUP+98V09Ys7iJYoeaOiiscnY 913+CxuTDHXuKFMA9Gz+8sPTxb/+Dm/dEG84H8VKVACybynf3N52QWV+BwQ/ iQvAc4ElA6YJF4S5LdOfIQtAPoH5ruZbF2Sn39znISsAnn89RNiTXNA9FnfP QBUB6HcT0rAUc0EcJWWZ6YYCsHVUZvGArTMi9VG3Bvx319v8WBb5dAblvxX9 bBUkAIfFTocpt5xBR58zv/10RQDyiM5B58rPINP7k0nTYQKgdTaaJBxxBiW7 R4uvXRcAi97p4WXxM4jpT+cp0gMBeKBOd/vjFUfEIGJba9oqAMcEdtKKd++i 5ziQ3uN2Afj2SmAe07ZHHYyC47SdAvCePmx4R9AeJax/21/TLQAs7N6ltKN2 iKnNz4JtRAC8h/huMp602+33G6uj87vf35/u+3vcFnFX1su7EgSBVvSu39YR axRScL+lgSQI+mKFJ3KZrdGnu2HWrGyCUPot7L73khXKjtCKaOUShIkacXJQ lRXiN+/tkRARhD3StZM6x62QyMasz6KSILzT9Ykq1TuNjlA5ygPsBAFf89PN Lt4SPRU6+3uvoyAYlLQw8XhZouMH67QTnQSB4yNX2V4jS6T+8fREvrsgmIg7 MyEWS2R5MQPfe1EQGrLU9gQ8tEChBWyXpGIEodUueayuxRx1M7IqT5YJQvTm FlVXzAxZrLpGe1UKws7Fo3TnmczQyEhNz8ZTQeCbGyVUrpmir48szjHVCcKd SgnTu/+Z7u7/d7JUmwVBy952ctrZFAn4k/7d+SgIh8uGavSLTJDvOKFZj0YI JBlyPY5rG6O2FtuGkr1CEFeJBV87aox4ywufHdwvBIWEK35jfMaoI1SltINB CFiZxUwbl42QoIDTHT2iEKgyh//ZOWWEepwr3fVEheDZ6dfWfNKGSHbW6LCe gRAYaBCarDb1UUzPXboSQyGgt1Z+cmlQH43VfaE5aCIE2EG/J8+r9VHc9YC1 dgshSFgA/hcX9dEE+cG4roPQbv/aeOUv6KEk78UKXV8hIAuo6I7P66KfKwkW uhlCENm6IFdEr4PGhnIt72cKwXyn7grXD23U0VB7avmeEPD3LWZXdmmj/NgJ q7u5QsDJyUFST9NG1lwK9rMlQrv7TSjHiqg2eqs+6hbfsKsniE/bz1ALZSVL BLZPCYFxwBrlS7UmivPHgnimhcD+Secz3XuayN/GLPjit12+TFJe7yM1kbHI 1RCOeSE4tfZunWymiejqusPOrgmByEJsj9qKBro4ERDPcEAYZKU88E+PayBt mZZMXWlhUPwm6d36UQ2dptMx75YRBv+na8famtTQuU/tjKfkhSGM5UbuTLEa SrzxPsxFSRiMrgW+uxKihga/9buFqgnD5JV2HVohNeSS80W+xkIYxk26gt0u A4rA73nHf00YFBpwL+ntMHT7e0TUozBhCJW94zZ9DEOFjfuwI5HC4LRgFL7G hKGO8wcqVeOE4feeatrS11SE72BOt0wRhh+UaAVPCSrKieB1TigUhlSeBZbf eyjo1Yrq740uYbCoqn74bEAZ5XY+czLrEYY3mp2CBbXKKKrgaEdZnzAMFf2j eZ6ujHRPke+6DgnD2CU+sZPWyqi/nlOpb1IYjh2hp8pOHkdz4Vu+Zau762kO mT1dU0KsuGdzLpwiIBky2Bd9XBFtfZc3beIWgZ/Ww6ROHkU09rqsjotPBEhd 2cHytIoo168wrldIBA5y/OFw6DqGpD7eEQVpETC5Ohd41O0YUs++5MQFIuCq Hdr/KEsBeUvJj/S4igBYNv1r4j6KLm9wbjt4iMBXGqa1QdqjKOQNLefiORGg S0tyZfwhj26cHrA66CMC3KLEw6N18qgoKnBYPVgEfp8QG109LY+mxl4NPU0U gQ/uGan/7skhy5v6H+88EwGder16C1VZZHdaYUOoXgTedilvSInKIhchHraq lyJwmU+7nQ8vi/zqFi27XotAX6CcSnmXDEqaTh6k69y1o/OAXVIGdVCHBgIm RODS4LBg/5w0oi669FsxiIK8KhHjSSEj1hfaeS8PiYJshrhLgg8ZLcZK+vAx icKmdoK7sBEZZQssHZomiILi/iuo6zAZ/TO/ouHDLQrX/Tp7aK9LosYXyVUx MqLgeOKNXOcNCaQW/yrpqYUodBW/od54LIY4LXPtWU+LQvjlQrb6RDH0SzBK KshaFPapdNId9hVDeS912zAHUeCiUQ5mVxZDe5f6d9o9REFuxoP1Q5soarb8 4T1xRRTudMz3JC6KoBPC7CcZ80QBzMznkKkwql54K+CSLwpZXiKW/5SFkfAz v/X6QlFQPz9fMywgjPbpfXjg8VgUfBp0WmeWhdCbCzG/mqtF4ShbmZ9lqhDC XqymB7eKglFVxA3vUUGkaNoz9W1eFGZpPeOzQwVQIVfoM+ynKMTFhUe+OCeA WKalEu4si0L9423PZQsBtBoQd0xjXRRen5VJfiQlgKruo7jsnd14rbCvKo/y I5nZJ9IWBDGoGfje/onCj8TDrge+URKDgQ0NqZeCvOilasF+AxUxuI0dz6n7 zYOMNxpTBihiMBsRmzrbz4MCvddKv6uJgcw2YeVzLA9qs3WcZDIQg9p9BlF8 S9zIQ1lRz8ZRDPb/d923qp0LFf+a5FqNE4PhZ4+ZQx5wIKzsT9HVG2Lwfn/q mvE1DtR7lk2RPnH3/1Tad8Z2HGh7wsCYM1UM5pUC3Lq5dofph2dRcF8Mrrfg 7Noz2dHc45sLCZViEC/vyeWXw4YkXZUbRUbEoBj9d0GlnQXdEjTcjhwTg1s/ hY9+K2NBq5+djk2Ni4FS1/jbp7dZ0CvrhMfZX8RAIbqz8bEjCzI1/pzOtiAG TrcqxwjbJBSkGu3DQCMO/VXsDPflSagN3yOwICIO9a4zlfl1BCT9YdpWX1wc zn0yPLnvIQGlJGynF0uKQ4jHLxSaQEC29MJMbjLikJIxX9jiQEA///hvjx8X B+1wz+/p9ATE+p27r1tfHLYTf/KJ2+KR6yuPqOqL4mAZkewgyo5Di+fnAk5c 2vW/wW5OosWhQB4vz0F/ccjdP/FSdYwZXQ+5YLp5RRx4/BN16OKZUYWKPz8l RhwcfmxxiEwzoT+1kS+bM8XhVOWMtcEjRpRSnr3a2ywOefDO/azJIcTtwP/d uUUc9tuk1BVIH0IFTHmjq23isDX+8RPu4CH0/HzBG9YuceiW+FPk23wQfSKX JlkPiYOjxEqR3fGDSLyoTmpqflePQq7+fUkG1JjT77LMIgErs0Xp8jL0aMJA wMGfXQKG7h1LdcXTI5qt81a/OSVAbebP2KsVOqRuQm+4n18Cqpxi0748p0Mt e1SUOCQlYDXE3XBJkw51Oj1gUMMkIL8zmnbBeT8aET5XluQmAV9vNbvJvaRF v7tri1jOSoBvTJlTXx4t4r5K+zDTUwLebM5u3YmnRXYD99LzfSTAiHfKNOQU LZqI/hD2PFgCModCRdtX96JvMwpmE4kSUDTR/god24tWi3Y2ZJ5JgHIVX2Ri Jw2asdTKia+TAJATYjz7nAYN7bup8+WFBKwfVm+yyadBLxw576Y1SUB9PNOR +BAaFMF+TOVvuwRkyHDv33OEBuHizoV0jEnAUYsTa+mSO5iU+wCN615JEMzL Pyow+wfjZeEufrVPEl6vJNldbvmD4ZqdTNjpJSGn6DPXysM/2ArvUu67Q5Kg +epc4jmHP1j94EENeRZJkDIumdYY+o3paEH0jpgkxN7uWLrcs405izxmyDwp CVZuy623Jjax4Lf250SNJYG9oPLg8aZNLMmV8K7KVBLqP05bHczZxF4WBCW8 OyUJLNMnNKQcNzGSqA7z3zOSUMr/4LTD1AbWIjpNcvSXhD+JfWLmi+uYpDgf v+gDSXhavvqHILSGQVtvWFWuJMRo/yZk0K9hlh4xk1i+JPwLwX+B+VUssmgh 71SxJPTxjW/8qVnFxsRfisQ/lYTZc4qLHPqrWKKEFXm+VRKctd/lNl5ZwZYl UxWrlnbtFpvI62vL2FAnnCCuSIJ0oB614fMy1uS9aHZpTRImxp55H+xYxhKr dC8qbkvCg9aKZyvZy5ikCk1pPS0Z8vTpPf7pLmNOuucFmlnJwG7C+3Mofwnr d9c+3E8hg208WfHB8CL2gmGN8xgig6xJbQO5ehHLe5wnkaZGhp8yoi+nExcx n59/tU5rkWFL9KjapOYixhhQHT5mRAauQwf9lqoWMK0YgY2vTmTAyD7RkD6P Pc//PbkWRwbi3YUNSugcpqhxaUPvBhnOd58deOowh9VMzh/OuUkGPiMlVWOY w6p4x5X0UshAf+fkwuaeOaw0o+lmdhYZipvKWPbHzmI5CdHK2mVkuL2ZfGkq /TsWf4k5OaOPDM6eS89v9M1gB4hxhQsDZAhIK9p0fD6DxVTSvFQfIsPs5sOb lvdnsKjF5Zn5MTJMCBXw5LnPYNc8+ilqM2Rgk7n1uPbvNOZre/f77CYZfoeb NlXLTGPWmrtnRV4pSAvSfUdf8gX723+AqZlfCgqySwbzk75gOa6Lo3pCUvBp QbnIKeALNhNTF2AtLgX2OSOr6MQXzLfdqDxIXgpO732fEzI1hV03DOF9riUF xSqKp0cEp7D60wN/FC5IgaRSeQKhfgKzm63veHlRCirO73cMzp/AaIJzMjQv SYHjRTXSv8QJTCvLU8E8SApStfJunXaZwHo/7fHyi5SCm9OPFixwE9ic05HR ynQpmDnK5ftoZBzjOh9bd6RJCphkwGLi0hiWuON27MYbKShNqN9IMx3D9qZo VX77TwquVgzM+suOYXO1+4tz2qUgkQ6/Xjk/itXTRGUQ+qRgov6+PrP7KGZ9 OyxgfVoK2m4fvk1xHsEyXgQde3VIGohsWRmcgUPYYUOrSk4maYBCPcEH1kNY 2MRx6QCcNJR318lpU4cwj/2bwrIs0jCh+FFxD+0QpmTkT8rjlQZeY73j7Ekf scEp35VoOWlgZRoqf1IxiLEc9Ko8eUoarkozq9sdHMDyNa4GL1lJw5WI6BTC Yj8mfzVRI9VWGuLaGhYWevoxw6WKgaEz0vC6inuTJbMfixlc23L2kgYOF7EB Eal+bDMvVD04XBoEwz+YcJzqw0ZUU/sKH0uDSPTUiz2tPZjH5fx7umXSEHhF w4CzvAdbL6txna/Yxb90cI9Zeg9GEBzakKuVhsQ+IbKwRw+mf4CHu6FJGoSc swbgUA/2sr/QpW9AGtinP41jp7oxPabn0v5D0qD9UXPphFo3NqTdvs4+Kg29 t4VvniN3Y6v1P+LsJ6QhOCir4xBNNyadK/tkdk4aTtZqEMwtPmAvR9T8Exak 4cdtfjN58gdMj2SGZJakwaLsk4rung+YW+zlnktr0hDZXtLFV9aFrTbFZLJt SoOAT+qX8aguLGI73bl+Wxq04g5fHLDpwnAKxVJ2f6VBLSpUivZoF5Z9vn5t Z0caHAXq37kf7ML+B8z92vI= "]]}, Annotation[#, "Charting`Private`Tag$854390#3"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVV3c8lt8bVkIqvMvee7xkJML7Puc2srMpErKLJMpK2auQEEJWCMkKRYny zWjIzkooQogQGvz8/nmez/15znNf13WPc58j6HjRzGUvDQ1Nye7j/+9f453/ idxMxa5z5zs1y0vI9+dwBKoP+SDDgCB6a4K0PLB+cOQYCkcv7Lez9+rJyfuZ lH2kHUpGby8vjJkuHJXHL7Enb30sQAfv0G8EfNKU//zc6OLaxxq0JFCaEGbs IK8tMv9p5eMr5HPvRHHvvzvyWx+V7yx/7EU3urJ+Uv/RKrRqPijsKfiCvtGm 6kSf/anA87lhxlF6EfnTDNHy4HuOkDztyxg0V1HuF0baOUqZYrK89jMjy03k M3iQO9Yn7ehwhlzLCu4f8rwwl6Dp7Kt0szDkw17OPTAQfXSdrshRmT31S1zK PVrIO86X6VVx4liMhR7W+4sOhmL2XhYcFVfxVcm37wzfD1cCD2TwnGRV1frx O8jrywFwYhnPLtReVQ2jmJ7lOsYE7V9Ngnn736np2uX8VNZggulgXE3cbLca c+j3CEtDJvjhact9faBPLbs1qjjJgQncaUkj6fqjak/1G7/TxzHB3ydLa0yD c2rLp4T9VoeZwD7lz2K4OAPF7sr6jXdXmeEZNxT2ZGhQRNM1eOajmCHtQMbC 7e7jlIWntx4xJDHDhZw01ZE0PUrQX8lujUJmuHz/0LVfmaaUOxF2rA3vmOF0 jk9KYZkD5d3t9twiXhaoVG/zi/58jZLymCTfKs4Cb9aHCh2iwig2A2dfTciz wFujNxoBCZGUWY6/X7m1WWCS7Jj8QieeQpsnJ5XsxQInTfKY615nUt68vPas MoAFNG4+fHHHLZeS9OWN4ftwFrA4JORh7lFA4RN3ubg/nQXc2UV41E+VUqZ1 a2jE8llgy0WDONP4iFJ+fue25kMWEPap05y+WE1Rrbhbe72ZBU6ZiTbrbT+h GNHs07HvZYGA7H9ryRItFCczr2E0zQL7glNDclpfU7yu3heqWmKBbtPDnFSN TkpA4ZCHwCYLKNpOq4SZvKe8nIm26aDBQVD/85amvT0U7auCIaF0OPjQD+ab TX2UtyzP7x87gAPbvLmhgLlBikmhVccyMw6oIY2W2ukjlMFjKwslRByIOCz0 Go6NU06/v4k/y4GDWIczMudnJykTZ8WUOHlxYJgfGRPV8ZXi+qvFpkcQBylJ HPW9fLOU7zdOh8SJ4UCevVLYcPs7xZv/1311Mg5MchKlgrFlyvrjpI4tWRw0 532+c2TkJyVIl7xYrYgDX5x2geDkOoXm02v8eRUcnHA8efKa8xYl6pKDkhCG g9s0t2zVA/5RDtD/sRnRwMHH34ffdXHuoSZl3glJ1sEBptof3TRES2WVlSvU N8SBtkCXz439DNTM1jcde01xsKbNRW/57ACV/5TLYqMlDqx9mktE6VmohQs7 eF8bHFw4uFVSQ0OgSoVlKpHtcfDv5V/p2q8kaiXr0dNfnHDA9l3sbQzioCqW fQjJcsfBKh9rmboID7URO19ofgEHQ6pqbBEWAlTUt6/zoA8Osj6kLbWuClH/ c8tdbPXDQRLHq85326JUvb8qhOCrOGhXPs6wEC1J7UrqV1IMxUHFDIercp4M 1UL04umFSBwoCn/l25GTpw43MIYWxuGAY9CO4cHqEaqdUWGhbSIO5g5/kGkT V6Z+ncI6SSk4WP5hlpX6WZV6zn948V06Dk6zKlOV5RB16eBlQlQ2DowcxAk8 nBpU3zxmZWo+Dl4t32Bk3HOcuqlYenq9CAckGWHVcw661OudmqGPynDg0xxU el7fkEprN17oUomDYydOTDw4b0KN/RnQyVuLg2eKfit+TOZU5hji0sBTHJhe MZTO47GipnBXEBKbcHDl+E+3uFJrKkeVrrL2KxwMHMvMdeo4Q72n9eX0dtsu H5z2FyPds1Sh4Wuh9W9xsPSek76O2ZlacoGjyKsbB0WISVNax40qs/dxp9jA bv2wVZ+k2+dBrUk7sTQ+jIM3rMc/hdlcpB4jzxLSx3HQVJR4p1jeh9rUHK5s /AUHhU00ppG8V6gaFry2DLM4YB2WQ/5hAdT22SehzQu7/eHy0K3dO5hqeM2s yH8FB1urWtXzoaHUXvxip+wvHEzkX39vKB5BPVkcs/TtNw66Fy/RZKtGU8dU hYh5OzgYu/zoqeW7OKrjh+fKp/bhYWTrplnbcgL1m9NJWxwjHnTlNjRf2N+m em6uhHYw4WHpc0jtN8lUquolV7YZAh5WG84b8NSkU/fPjzyk5cCD9LSrc+1Q FnXQ0VhdkBcPKZK1Fk9s86hFo62DmBAe/FJ9N3xU71MvWxzztBXHg56sZHJd RjFV4335niBpPFQEdj3dm1hGxWkLpqfL4yGn9nvGB8VK6viLO9J1SnjYZi2b 47SqoZYrH3jVq4YHjQXlEtv4OmpQ1fWTy4AHAwZBrMSsgaorubrApI2Hjzo2 RcqvmqhsBW7hZAM8rCeU5p0Kfkn9yjXGrmeCh1bGlBi/+P+oNSkmj1wt8XAr OKNtSbSDGnrotUakDR4MwftJt8M7qnGUylC+PR6ax2+aVJd3U/m2H11odsbD kRjF0xcz+qgLfkK0n87h4a7XbLoEw0dq44+0jN9eeCg0ti3uYhmlxrofPMxx GQ9V5vfpT73/TLWaDGk9GoiHEL5yycbKKaqIzdop8+u7fJo/01etT1N/9rov eUfs4rG+e+nVNUdtMfgUkRiLBwk98Qfl5kvUxP9MOcsTdvUYlUd096xQbalt FZ3JeNhprmL/trxGlapX1fqWjoc4nYtnN7I2qVuHK4f33cPDbVyfRfT3v9SO B8IXhQrw0JBpq6SwTYOlCWTsgwd48JJ8IKS8SYs53z2UeaYcD3teVAQ+8WfA FAhhsler8XA97AUNa+pBjObm+n8Z9Xj4Gqqxx0URh3XRnrepf4aHoP2s13AH iVh28PiPvhY8vHW0Okp/lg3zWDeLWnmNh7b4+xrJhlyYqlc7F8tbPNANieXO fuPD9n9Tq5LuxkMfJ4jNSwhhg/ZVx/UHdv0TV1I0TopihUMio24jePhVxjkD JEnMx/Sud9RnPABz+NxkgAwGb5jo73/Fw6En7AHqpvIYs2Z4VsscHmQEUg71 WStin579khtfwoPT0z3XPOeVsXJFj7Y/q7v168k7NMlFwYIefT7NuYUHe3n/ 0bsRgOmKWawobe/mM7tTUdRdE2PL7Yi2oCXAS+b2X+5d2thXdiqPz34CdDD+ OMr3Xh+rSaquvsVEgJHq0zub142xUEYxnUcEAuwps/R4FGaGGYdnjr1hJ0Bk Nh0ludkS4/vD7DPLQ4ASbVXpwURrbME3goFeiADOqlOSy/vtsMaFjWxhcQJc c6BGzxSdxWJdPBXUpQkg+PP3e4MmZ8xqfKLdTp4ATeL13ab27pjIScszwUoE 0Bp0I6gXemI/P3T+vKtGAP2L4RGm/d5Yiy4W+wR2/ckMudO0+2KJL2t4B44T IOvHq/pJqj9mqyr++Kc+AQgPBRN4Ta5iUo+zdHEmBLhv4ah25VAotkXGjctY EuBsue8DwbFw7Nc9rrAjNgRY1C18IMoZja2xiIqo2BOAmj5wPPxrHLYSJtuO ORMgzmMousQqEVtaVTmvdY4AOofqv/K23ca+u2gx6XsRoFj+G59LXyo2+9Go ytiXAPUvH0X2umZg03rW5pYBu3wFBFu90rOxqWdOv2yuEWC0JimEuyUP+yzj ddchnACD14csXfLuY2O5ARTXGAJciT6Tzb1TjA3jIz57xBPgzeUF29WVMmww IiH80m0CfA4ff3U6uRLrW08X9U8jgG5H0ToupAbrdivoCM4igLGo1HmO8jrs /XC5R3geAWyPRfE3ODdgbwyeMMcW7fKXr2X93tKEtTe9rE4oI8B+k9AvZ71e Yv/JvrNIqSTA40Gf0Due/2Ev8wc3MmoJwE13zOnkUjv2gjiZmdNAADEn73bq gXfYs6jv1MIXBDhCVmi3v9CNPd1YnyhtJQCvQLvRRdSH1Z2jiazsIIC7j8cz /4RBrGb0gHjdewKocatEv/QcwSpPsL5p7CVAxkSlFeXXOFbezH+h5SMBaCib DbeEp7BSeSlc2xgBHAqaR3phGiu+r/j47SQBGtgr+tZmZrH7rMiqZ4YArT/2 V/vKLGJ5MXpbg98JcNuzLH+efQW7t2WePbZMgOYTfltkhjUs08MOTa3v6otZ +ebgv4Glf3Kf+vabAI42gWGl1/9gqca+UYs7BEiU9HAP4KZBt19ek1jdRwTm yz5Bep/3osQjsW83GYnwoK/lv1s89OhmUbLXNjMRbpGzkvhmGVEs+z38PhIR 1u5SKq1tmFFU3INaRk4isNHsjZttx6PwP9UnWfiIwLOX+dSffhIKufD8N0mY COIVYze23DhQ8Oe2e1wSRBjZ19nflc6DAk17QECGCBLaabkPmgWQX+voF1EF IlzKDOZazhFGvkdnosnKRIjs5Grn+yuGvB8sS8pTiHCzJSeickEKeXH+eaek ToSN6xFpL+NkkcdNOm+KNhEMpdNtrQMUkPs/FqKGARGyx/uvzOUfRa4Xuep1 TIig8rfXNNNSBTlNilifsCSC0eWcgq4yKnIwl/1rZkOE+kWFG6526ujMa5Xc U/ZEsFbVfVRpqYVslLU07JyJ8OH6feb/3uugk6VG007niPAitfyg5JgBsuC2 jj3nRYSLixP5S4YmyDTBiXzRlwgulvHSS3hzZLRzoetyABHsxHTHh05YIYNL AZeCrhEhYJGkwkSyQbpfwkmh4UTAKdt5jgTZoeOWCU+iYohATqFj+vH+LNJo T7e5GU+EGjfLLYU3zgipFPxLuk2Ex2FGP2Y13BHlYXleWhoRYob/fd7U90Sj Ag9zj2cRYa/c6p8qE28UlFaas5ZLBMr7rE729z6I41DJvfuFRBC4X2WqVXQF PQkrzjYr3dWjtrPc9DUAWW0UZu2pIEJFqrTHSnowWvO8n1lVQ4RfaS71jK6h KGUq/679EyKsC7386d8ejhRO5WUwPyeCNtOxeRP/KNTzPie9qYUIoGp0Pz04 Fnlr3kvzfE2EbzrTtLTjNxFLQ9Yd7jdEMC/9mfgw/xaqOJyZ+qaLCI8Snvha zNxGJwozUgL7duvpd2aNiXwqWuBMT5YYIsKcLLdWSU0akqRLTYqe3MVzdV4q scxGHUHJt47O7OYz2T9DyScXuS4nJX6d39Wzin9tfCYfFY4mxGusEeGEmIC8 2HAh0jSNv7mySYTyh9z09Q+K0VTbjRt5/3b9mSkN2gSVIIGamNhtehJ0MZg/ PcxajprFo2MeHSQBt8Mm/9HeR8juXmS0LY4EPOr030OuVaK/hIiog6wkGEn6 O2gfV4WyYsMiGzlJIJppi9R0qpHqdkjEOT4SWOHMRuk2qtGQ7/VwDmESiPgP 3vuWXoP854LD2sVJQHNhz2F/yceIzf5qqJ80CaqObjZXPHyM6voDQ0TlSWDO cBh94qtFFvoB1/uPkiBT+nDxnYhatNrsdy1ClQQnyjJ5c0ZqUfLRK8EKiARv OfO4JkTqkPxD36uTmiRIXp02sHGqQ90CPkFJurt8JqtaSel1yCvNOxCdIMGl 6/tC2V/WIaZDFwOWTEngQnFQcZqqQ+VhF/zvWZGAQJWmLvypQ/obHn6Gp0mg QUmjT2euR3Oe56/8sSeBDkFQU4m7HsVOuV8ucyaB9V391TiheiR+ys3X+hwJ 8hMm7JFoPWp77+Kz34sEWoHKD1aE65GLpvOlJz4k+Pshp0qKvx7ta3D0dvUn AcPjf3bO7PXo/uGzF1mDSbAlOv6VkakeaRTae/0XuounhRMJpKlHE5x2F3yj SODh58+472cdCrll6yl0gwT1u9FYmaxDfHSnPXoSSSB2J9ortLsOPQ+yPh+a QgKBKiaj6aY69NvFyn08mwQZ4RkZX+/UobujFm4J+SQYTsk63hlah46ZmrtS iknQEj1gzOVRh/woJs6ZlST4anzN3wmrQysEfQerVySYSgmzTZqsRUOeQt3n 23fjkx2CrbXXopa23yjk3W4+VNkdUUUtSgp6yF8ySAJvmM+uCKpFclOHPm/N k8CtUy0nn1iLvKo/nLlHZIWpXN1DU7qP0byx5emvzqygweSj4tFRjXpLZd5u nmMFBsLTtrPV1aiRll6N6SIr6PwmLl3JrEZxT+q5lAJZwX9eKeOXZzWS4OcY iUlghY9fClYtidXIbWnkFLmeFX7+uOB90aUKfY13sPJhYAOaQAcLRUoF8pqX FpI7xAZawi8U89kr0IbO1uIijg2iuDfNVFcfoQO0yVHnuNiAtH3Zd7nsEZIL bK11kGGDYYLZVVeeR+iaixjR2JwNCurWxA0ZyhEbtvCBnMsGV8N7w3L+lKK8 rKdZc/fZ4MPbakW5sVIkuRXp9qCEDaIdfi98e16KKLW8O0I1bGDlTl/fcb0U OUkZH+Z6zQZ2ez5X6u8rRVVsNfH7v7NB7DZZRJKtBOn98NebVmKH5ZmVTUGL YsQjzxe9n8IOnBnys+NKxWjJ579XZHV2EA5PlXvFWYxSf+EoPgbsoLO4Q/vn cxEa/1d6eMeeHXC/XLTlvIqQz6ExImccO3BwPU29frsQZUrCuOEoO7QsJdI4 /ixAnh4zXN4T7HBmwCYiYbgAoUfxJ1Omd/EDziUNtxSgr3LD3cM/2EFUYTWn 91YBOnzMp9V1HweolNqvaMoWoFbtwpJQGQ6INTKh7PjmowWn/b61IRywbuHc 9ZKYh5ZytJqaIzmg34JCL7Kdi34MhzK8jeMAg497y7f6c9FP462syRQO2HNv MlMzIhdtqM3/x1yya7+Ouqc/lYP2kt6xnevmgDKvW8zfS+8hzv9uNfIKcoLi 0FZs3ZksxLXzdp+kGCfwswQphqhmIR7V/caKZE54fqjvsB97FuKrCv2if5QT tsclxL/3ZCKR7EuHAvQ4QVTw/NC8biaSu2xu13uJE16aX37Bgu4ibRH2vTGv OMHlDpXio5+O5hx1StTaOeHPVv3A1cPpKD7f32j5LScMbVzY84CQjvr4hjKt Bzih5n2819nRNOTAefeI9CwncJ37rOHolYYCmbldepi4oIiTeONS5h1UvsnX wW3NBQlCBk+bGFORsbKxV/cZLhgweniociUF/bwSQopy5AJxLQbNpuEUpLL6 2WHJgwu8x8TfypaloLbFvK2W61zAFmQae84wBX2eEiK7FnIBS46zEiEtGRHe iyVW/eCC068NIy2ot9H2D7miN2tckFPqOfdV7DaaJ6g9/7rFBbaSbmHJuNvo 1SnjeY593HDhEW+N1tck5PvVXzuMgxsm91X9pklIQv1/OrZN1blhTtu/+1L7 LZQu5XFxNZkbXnV0FJ7WT0CRJ65EM2VwA3tkGi9VJAF5e4fcE7/HDckfbRRM tuORbn3K29MPuGEaRmUOPI5Hm+rPxf97xg2bZ5MutfHFIxtrponUr9zQ22Pl ILlzA/HEVpooKfFAvrPS0M/JWFRW8ah1S5UHvsZGB9S1xqJjAw+VmhAPHHGf GcouikUWQiU8Wno8UGvoIj58LhbFP8+bNbXlgec3BcRo12LQn+XboRfCeeB3 kmTlL+YYNGJ9uaqwiwdO99A9UrKLQu6hPsLufTwgvcTfjGlFoV/F3mnkIR7w m7vg4CoVhQhrnsE1kzwQfvfcE+JGJNJPdNFtWeMBrhTHpKnbkajhldXEKBcv KHucMZF7H4EyyCo4ohsv2D7dkU+yDkeWBu+TXnjwQsviGM9jzXBE8DiLP+/N C6HcKaRlmXB0syyO8DKQF8y3Yyqe7A1H1yVHSBfjeeF+SpJc0KMw5Cx+lfNt NS9oCu7dV8MQhuSFm4Qi/vJCfi7XY/XsELSkYXr/8B4+0BUZn0r3C0FljtPC I3R8cOf6059cpiFIpIBJVJ6FDz69x38qpg9BHIJ24p8F+cDu1iCh2/c62ubb Iavp8EGpV2GEqtU19IZL/ejqbT7oySKss6heRd18lWL70vkgZeSxxQTbVTQo xMvBms0HG95SMuOrQWhSauu3UjEfLNr0nzlbEYQ2Vatbghr5gC7RwClENAiJ nRY03PuFb3eeqfPMcgei8Kw9TnhFfmD8VLr1XdwfxeZetBBS4QejF3nCO4z+ KPH+p+NHMH7QN1jcOrbgh+4+bJCw1OUHy41PX/ir/VDVs0tLGbb8QNK4cbyO 4ofGRycDBaL4Qa1oubfP5gpS5XmVJDvID+mV49jdal80JSwyPjfCD9darFmG 7vqiOHI0ufAzPyhsb0QfCfdFQ6r6bRxz/DDLEjeJzH2Rv3Xvnz1/+eFP1PXo sl8+yMbg0pF5nAAQKCOSZRo+KC02LOe5kgCUR2e8vbjkjc7HK7zmVBEA/o31 NNoRb4QlffnupyYAw2MZ+6pee6Pp9OMq8iAAT803jc3ueSPFB4z9RXoC4JG/ cLHhhDfqfX2b8ZatAMzODvGsuFxEzLQFl8+GCwBcMRVf4rmA6LeazVciBcBL UO7zxC9PtL30SSEsRgA6XxqZ0/V4oh8jnCt58QLAlJzpORXlibprbl+YSBMA dXm87cyKB0p2DHO1fygAaq1h+8Z7zyO2Vw6nzvQLgFOhbM2XenfE/PS68uKg APyZ+yefluaO6Cuy2a4NC8Bko928j5872rg71J89vqtH3EmiTMkdDV0yMR2b 3eW/uDHJ2OCGMgVB//Q/AXi89M/P/rUr4gvjp1iLCULOLZWE37+dUYXvfqFP EoLwVHDZkHnCGWGuKwxnyYJQSGC5q/XaGZ0xaO1zlxMEj3/uohxJziib1c0j QFUQ+l2FNa3EnRFnWUVmupEgbB2RXdpv64RIfdStAb/d9ae/r4h+OosKX4t9 tg4UhEPip0JV2s6iI09ZXn+6KggFRKfA85Vnkdm9yaTpUEHQPhdFEgk/i267 RUms3xAEy97p4RWJs4j577uTpFxByNWgT/141QExitrWm7ULwlHBnbTS3bvo eU6k/7BTEL69EFzAdOzQGyahcdp3gvCeIXR4R8gOxf/6RlfXLQisHF7ltKNn EHOHryX7iCB4DfEnMJ04s9vvN9dGF3a/vz/V9++YLeKpblRwIQgBrdhd363D Nii46F5bE0kIDMSLj+ez2KBPd0Nt2NiFoPxb6D2vZWuUE64d3s4tBBN1EuTA GmskYNHbIykqBHtk6id1j1kj0Y057yVlIXir5x1Zrn8KHaZyVvqfEQJ83Q/X M3FW6LHwuT97HYTAsKyNmdfTCh070KCT6CgEnB+5K/YaWyGNj6cmCt2EwFTC iRmxWiGrSxn43ktC0JSlvsf/viUKKWK/LB0tBO1nbo81tFmgbiY2lckKIYja 3KLqiZsjyzWXKM9qIdi5dIT+ArM5Ghmp69l4LAT886OE6nUz9PWB5XnmBiG4 Uy1pdvc/s939/06WWqsQaNvZTk47mSFBP9L2nY9CcKhiqM6gxBT5jBNa9WmE QYox3/2YjgnqaLNtKtsrDLHVWND1IyaIr7L4yQE6YSgmXPUd4zdBb0JUy98w CgMbi7hZ84oxEhJ0vKNPFAY1lrC/OyeNUY9TtZu+mDA8OfXShl/GCMnNGR/S NxQGQ01Ci/WmAYruuUtfZiQMDDYqjy4PGqCxhi80B0yFATvg++hprQGKveG/ 3mkpDPGLIPDskgGaIOeO69kL7/bvac/CRX2U5LVUpecjDGRBVb3xBT30YzXe Ui9DGCLaF+VLGHTR2FC+1b1MYVh4p7fK/V0HvWmqP7mSLQwCfUs51V06qDBm wvpuvjBwcXGSNNJ0kA23ot1cmfDufhPCuSqmg15rjLrGNe3qCeTX8TXSRlm3 JQM6p4TBxH+d8qVWC8X6YYG808Jg9+jdE71sLeR32jzo0rddvszSnu8jtJCJ 6LVgzgVhOLn+9hfZXAvRN3SHnlsXBtHFmB71VU10acI/jnG/CMhJu+MfH9NE OrJtmXoyIqD0Tcqr/aM6OkWva9EtKwJ+j9ePdrSoo/OfOplOKohAKOvN/JlS dZR4832os7IIGF8PeHs1WB0Nfut3DVEXgcmrnbq0wurIOe+LQp2lCIybdgW5 XgEUjt/zVuC6CCg24Z4znMFQ6mx45INQEQiRu+M6fRRDxc37sMMRIuC4aBy2 zoyhNxf2V6vFisCfPbW05S+pCP+GJd0qWQS+U6IUPSSpKC+czym+WARSeBdZ /+yhoBeran82ukTAsqb2/pMBFZT/7omjeY8IvNJ6J1RUr4Iii468qegTgaGS bZqn6SpI7yT5rsuQCIxd5hc/YaOC+hu5lPsmReDoYQaq3OQxNB+25VOxtrue 5qD543VlxIZ7Mu/MJQpSwYN9UceU0NasglkLjyj8sBkmveNVQmMvKxq4+UWB 1JUTpECrhPJ9i2N7hUXhAOdfTvuuo0j64x0xkBEF02vzAUdcjyKNnMuO3CAK Ljoh/Q+yFJGXtMJIj4sogFXLdgvPEXRlg+u3vbsofKVhXh+kPYKCX9FyLZ0X Bfq0JBem7wro5qkB6wPeosAjRjw02qCASiIDhjWCROHPcfHRtVMKaGrsxdDj RFH44JaRsp0tj6wSDD7eeSIKuo36jZZqcujMKcUN4UZReN2lsiEtJoechXnZ a56LwhV+nU5+vBzybViy6nopCn0B8qqVXbIoafr2IP27XTuqADikZNEb6tCA /4QoXB4cFuqfl0HUJed+a0YxUFAjYrzJZMT2TKfg+UExkMuQcI73JqOlGClv fmYx2NSJdxMxJqMcweWD0wQxUKK7iroOkdG2xVVNbx4xuOH7rof2hhRqfna7 JlpWDByOv5J/d1MSqce9SHpsKQZdpa+oNx+KIy6rfDu2U2IQdqWYvTFRHP0U ipQOtBGDfarv6A/5iKOC53odmL0YcNOoBHGoiKO9y/07ne5iID/jzvahQwy1 Wn33mrgqBnfeLPQkLomi4yIcJ5gKxADMLeaRmQiqXXwt6FwoBlmeolbbKiJI 5Invr8ZiMdC4sFA3LCiC9ul/yHV/KAbeTbrtMyvC6NXF6J+ttWJwhL3C1ypF GGHP1tKD2sXAuCb8pteoEFIy65n6tiAGc7QecTkhgqiYO+QJ9kMMYmPDIp6d F0Ss09Lxd1bEoPHhb48VS0G05h97VPOXGLw8J3v7gbQgqrmHYnN2duO1yrGm MiqAZOceyVgSxKFuYLbzE0UASYTeCHilLA4DG5rSz4X40HO1IjpDVXFIxY7l NfzhRSYbzckDFHGYC49JmevnRQFe6+Wz6uIg+5uw+jmGF3XYOkwyG4pD/T7D SP5lHuSuoqR/2kEc6P674VPTyY1Kf05yr8WKw/CThyzBuZwIq/hbcu2mOLyn S1k3uc6Jes+xKzEk7v6fQvvW5Awn+j1haMKVIg4Lyv6u3dy7w/TDk0i4Jw43 2nBnOjM50PzDhMX4anGIU/Dg9s1jR1IuKs2iI+JQiv67qNrJim4JGf2OGBOH Wz9EjnyrYEVrnx2PTo2Lg3LX+OvHqazohU38w5wv4qAY9a75oQMrMjP5nM6+ KA6Ot6rHCL9JKFAtypuRRgL6azgY7ymQUAe+R3BRVAIaXWaqCxsISObDtK2B hASc/2R0Yt99AkqO/51eKiUBwe4/UUg8AdkyiDC7ykpAcsZCcZs9Af346/d7 /JgE6IR5zKYzEBDbLE9ft4EE/E78wS9hi0cuL9wjay9JgFX4bXsxDhxaujDv f/zyrv8NDgsSLQ4F8Hp6DPpJQD7dxHO1MRZ0I/ii2eZVCeD1S9Slj2NBVap+ ApRoCbD/vsUpOs2M/tZHPG/NlICT1TM2hg+YUHJlzlpvqwQUwFu3c6YHEY+9 wKxTmwTQnU5uKJI5iIqYC0bXOiRga/zjJ9yBg+jphaJXbF0S0C35t8Sn9QD6 RC5PshmSAAfJ1ZIzxw4giZIG6amFXT2K+Qb3pBhRc16/8wqrJKzOlaQryDKg CUNBez8OSRjKPprigmdANFsXrP9wSYL6zN+xF6v0SMOUwYhOQBJqHGPSvjyl R217VJU5pSRhLdjNaFmLHr1zzGVUxySh8F0U7aITHRoROV+R5CoJX2+1uso/ p0V/uutLWM9Jgk90hWNfAS3iuUZ7P9NDEl5tzm3diaNFZway0wu9JcGYb8os +CQtmoj6EPo0SBIyh0LEOtf2om8ziuYTiZJQMtH5Ah3di9ZKdjZkn0iCSg1/ ROI7GjRjpZ0X1yAJIC/MdO4pDRral6D75Zkk/Dqk0XK6kAY9c+C6m9YiCY1x zIfjgmlQOMdR1X+dkpAhy0O35zANwsWeD34zJglHLI+vp0vtYNJuAzQue6VA qKDwiODcX4yPlaf0xT4peLmadOZK218M1+poysEgBXkln7lX7//FVvmW898e lAKtF+cTz9v/xRoHD2gqsEqBtEnZtObQH0xXG6J2xKUgJvXN8pWe35iT6EPG zBNSYO260n5rYhMLem13XsxECjiKqg8ca9nEklwIb2vMpKDx47T1gbxN7HlR YPzbk1LAOn1cU9phEyOJ6bL8OysF5QK5p+ynNrA2sWmSg58U/E3sE7dY+oVJ SfALiOVKwePKtb8E4XUMOnpDa/KlIFrnDyGDYR2zco+exAqlYDsY/wUW1rCI ksWCk6VS0Mc/vvG3bg0bk3guGvdYCubOKy1xGqxhiZLW5IV2KXDSeZvffHUV W5FKUapZ3rXbTkfcWF/Bht7BceKqFMgE6FObPq9gLV5L5pfXpWBi7InXgTcr WGKN3iWl31KQ2171ZDVnBZNSpSlvpCVDgQGD+7beCuaod0GwlY0MHKZ8P4YK l7F+N51D/RQy2MaRlXKHl7BnjOtcRxEZ5Ezrm8i1S1jBwwLJNHUy/JAVez6d uIR5//infUqbDFtiR9QntZYwJv/asDFjMnAfPOC7XLOIaUcLbnx1JANG9o6C 9AXsaeGfyfVYMhDvLm5QQuYxJc3LG/o3yXCh+9zAY/t5rG5y4VBeAhn4jZXV TGAeq+EbV9ZPJgPDnROLm3vmsfKMloScLDKUtlSw0sXMYXnxUSo6FWRI3bx9 eSp9Fou7zHI7o48MTh7LT2/2zWD7ibHFiwNk8E8r2XR4OoNFV9M81xgiw9zm /QSrezNY5NLKzMIYGSaEi3gL3Gaw6+79FPUZMrDL3npY/28a87G9Ozu3SYY/ YWYttbLTmI3W7lmRTxrSAvXeMpR9wf7172duFZCGopyywcKkL1iey9KovrA0 fFpUKXH0/4LNRDf420hIg13eyBo6/gXz6TSuDFSQhlN73+cFT01hN4yC+Z5q S0OpqtKpEaEprPHUwF/Fi9IgpVwZT2icwM7MNb55fkkaqi7QOQQVTmA0QXkZ WpelweGSOmk7cQLTzvJQtAiUhhTtglunnCew3k97PH0jpCFh+sGiJW4Cm3c8 PFqdLg0zR7h9HoyMY9wXYhoOt0gDsyxYTlwewxJ3XI/efCUN5fGNG2lmY9je ZO3qb/9Jw7WqgTk/uTFsvp6uNK9TGhLp8b+qF0axRprIDEKfNEw03jNgcRvF bFJD/X9NS0NH6qFUitMIlvEs8OiLgzJAZM/K4AoYwg4ZWVdzMcsAFOsL5doM YaETx2T8cTJQ2d0gr0MdwtzpNkXkWGVgQumj0h7aIUzZ2I9UwCcDfCb6xziS PmKDUz6rUfIywMY8VPmoahBjPeBZfeKkDFyTYdE4c2AAK9S8FrRsLQNXw6OS CUv9mMK1RM0UWxmI7WhaXOzpx4yWqwaGzsrAyxqeTdbMfix6cH3LyVMGOJ3F B0Sl+7HNghCNoDAZEAr7YMp5sg8bUUvpK34oA6JRU8/2tPdg7lcKs/UqZCDg qqYhV2UP9quizmWhahf/8oE95uk9GEFoaEO+XgYS+4TJIu49mMF+Xp6mFhkQ dsoagIM92PP+Yue+ARngmP40jp3sxvSZn8r4DcmAzket5ePq3diQTucvjlEZ 6E0VSThP7sbWGr/H2k3IQFBg1puDNN2YTL7co7l5GThRr0mwsPyAPR9R94tf lIHvqQLmCuQPmD7JHMkuy4BlxSdVvT0fMNeYKz2X12UgorOsi7+iC1tric5k 35QBQe+UL+ORXVj473Snxt8yoB176NLA6S4Mp1gqfeafDKhHhkjTHunCci40 ru/syICDYONbtwNd2P8APXrVnA== "]]}, Annotation[#, "Charting`Private`Tag$854390#4"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.883723169543371*^9, 3.883723187493306*^9}, 3.883724249554368*^9, {3.8838106789301033`*^9, 3.88381068998208*^9}, 3.883815530570366*^9, {3.883817081645289*^9, 3.8838170890039873`*^9}, 3.884769587923189*^9, 3.88477106902424*^9, {3.884775721982883*^9, 3.884775744540283*^9}, 3.884775779742097*^9, {3.8847806894308357`*^9, 3.884780699233755*^9}, 3.8848448922981052`*^9}, CellLabel->"Out[93]=",ExpressionUUID->"4e0e9a87-dae9-4701-bc4f-08a903ba276f"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "\:0424\:043e\:0440\:043c", " ", "\:0444\:0430\:043a\:0442\:043e\:0440", " ", "\:0438\:0437", " ", "\:043e\:0431\:0440\:0435\:0437\:0430\:043d\:043d\:043e\:0439", " ", "\:0412\:0424"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"PsiP8HeCut", "[", RowBox[{"q_", ",", "cutVal_", ",", "disp_"}], "]"}], ":=", " ", RowBox[{ FractionBox["p", "q"], RowBox[{"NIntegrate", "[", RowBox[{ RowBox[{ RowBox[{"PsiR8HeCut1", "[", RowBox[{"r", ",", "cutVal", ",", "disp"}], "]"}], RowBox[{"Sin", "[", FractionBox[ RowBox[{"q", " ", "r"}], "p"], "]"}]}], ",", RowBox[{"{", RowBox[{"r", ",", "0", ",", "500"}], "}"}]}], "]"}]}]}], "\[IndentingNewLine]", RowBox[{"PsiP8HeCut", "[", RowBox[{"500", ",", "5", ",", "0.03"}], "]"}]}]}]], "Input", CellChangeTimes->{{3.8837232791240273`*^9, 3.8837233426423063`*^9}, { 3.883815540588266*^9, 3.883815556769533*^9}, {3.884775765382184*^9, 3.884775803884544*^9}, {3.8847812735539217`*^9, 3.884781282579073*^9}}, CellLabel->"In[94]:=",ExpressionUUID->"12b6b67b-c03b-421d-97ea-f2051e4c3776"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"5.1204957357633205`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \\!\\(\\*RowBox[{\\\"0.03453515120386369`\ \\\"}]\\) and \\!\\(\\*RowBox[{\\\"7.751185290254582`*^-8\\\"}]\\) for the \ integral and error estimates.\"", 2, 95, 32, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.8847758042913113`*^9, 3.884781285143569*^9, 3.884844894147637*^9}, CellLabel-> "During evaluation of \ In[94]:=",ExpressionUUID->"8df1bdc9-b19b-478a-9e84-d2a3c35814f7"], Cell[BoxData["0.01362943556320962`"], "Output", CellChangeTimes->{ 3.883723346036049*^9, 3.883724252996694*^9, 3.883810694126998*^9, 3.883815557634583*^9, 3.884769590420074*^9, 3.884771133868091*^9, { 3.884775772036948*^9, 3.884775804301284*^9}, 3.884781285160314*^9, 3.884844894157247*^9}, CellLabel->"Out[95]=",ExpressionUUID->"fba92c56-feaf-4a99-9da1-29983ca33278"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"PsiP8HeCut", "[", RowBox[{"q", ",", "7", ",", "0.03"}], "]"}], ",", RowBox[{"{", RowBox[{"q", ",", "0", ",", "1000"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{{3.8847758191611023`*^9, 3.884775850314929*^9}, { 3.884775934702807*^9, 3.884775934774704*^9}, {3.884775968473261*^9, 3.884775968630706*^9}, {3.8847812915924463`*^9, 3.884781292532815*^9}}, CellLabel->"In[96]:=",ExpressionUUID->"aa907d73-e27d-4992-8b65-eac5ef728757"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"7.243497567102194`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.000010367282964010612`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"1.1978699364575958`*^-8\\\"}]\\) for the integral and \ error estimates.\"", 2, 96, 33, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.8847758555043697`*^9, 3.8847759351644783`*^9, 3.884775969149082*^9, 3.884781295817816*^9, 3.884844896841216*^9}, CellLabel-> "During evaluation of \ In[96]:=",ExpressionUUID->"33b303cb-ac5f-4705-bd17-6ddffec387a6"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwUV3c81e8Xt1KopCgJFSo7ISPxHHuT7dp7r8u11x1cI9m+JZKdihZZ4REN qSiVUVJRKLNEKtXv/v76vN6v55z3Oed9znlen+egR6ilNwsTExPbJiam/3/n vm2Y6PmsalTuznJ6W9mGwmtiFXQqXqDMYvGTNxg4hmvBZ2/FFMruM3gnzsDK OkJNucQFdNa0wFC/og3Fd9UysVWsoPK7QhSu8jb0+rXGJZSxjmxJQdmRZW3o xI9h03jiH/RQMDwhtbQNPc1QjnsjzQyDETn2aufb0J+zNNOf5axwsSVf/uzZ NiRdO3hgDx877NvbIlhc2IacmvZ9V8zYAgY7q6U089pQVo/vQ8s/nFBYGxSV c6YNdTxrPB9G3AaxWdm7UzLa0PzEv+DsT9zwFL4e2Z/ahrLXag4MS/PAJdZP fW7kNtTF9m1lpXwX3B6+rzEa2YaGuc69ZXnDC4Qpa6ftYW1ocafGQx6+3eBu 03x+zr8NCR/MPH80gx9eV8QcKnVqQ0ricikavXvhh1j201CbNmR2dDjY9I8A tG4dN50zbUOJ6iKagUQhYPqeVvdavQ0V6vRJxl0VBm+JmK9mx9tQvXEIb8an /aB/9O5SoDQjnvTbiBfSB2FwlyRrxV5GPDUJ/a/lojCtpfXg71IruqKxcWdd XQx+dtO/4I+tSElrUI7pjRhc2528IDXWiswMIwW4+Q7DcqX74Ka7rSjJ7u6C dIY48K1Ha/RntSJOx0IPxcMS4LmTO2UuqRX95+I7otYrAZ8Hs9zbw1rRNe9t d43+SELGV7UAD6tW9DaCUOhHlIHvOVYvpnlbkV+0NEfYdln4wfb+czJbK/oe 9y8x+qosuA4KvHm00oK2Umt86Z+OwuYjervDn7cg4b4YoSHpYzBlozV+IKMF mQ3fW14qVwDrEwfCvb80o+R3zoTtawrw60XJ5fgXzejG7NpdaWNFkNX9Z63R 0Yx4fosX+K8qwjl5i9nHWc3o5f4zx6cMlWCP0YsrgpLNyMHfJm74mwoEXnOz 1rS9jXw3PrF26mjAYPRip19cIzq3KTnoTbEG1JdOfj3v0Ij6tvO/+rmoATaZ nlmFJxqR5EGjWqViBJ1TBfc+/LyFfojYiY1GAYh7KSn+i7yF2vXvPLB4rAkC nOY2B71vIsijcemSdEB+hhS/2+QaejixW4OllIHT+MZ3br6GzKSvhOFeHejF Omc+3m1Azg+fvVLdpQsbahcrtys3oLg/QuWyt3ShKm9oqn5/PWryb1XkX9aD LXsmz56eu4zEtRac5wINYdd+F1JabA26nkPOrSswhKMX12nB8jVI6e2uXu87 hrAOJdtc5qqRbswJ8fecRvAouWDZy7kaeVxL+/byshFcrO/WU9KqQqUCImld M8YQ8e8Di86OCsSzYnsjz9MMbshI1u3IK0bCzget0zLNQOqw+lOm7cVI+uHc j4SbZqB3W3nU9fQ5ZFBCRn7/zKAxkD+HlHYWJWlfGdAoMYeWlTuTJ1OL0Nqj pLVI/1PQP35C06E4D3kKDPGKVljA/e4+PS2fFBRg3jJ9ockCrJtOil9KoaGw lNJW/j4LmMzfNxxeTUVJiz5O25cs4KbKfZLJLBmd7/ld9fOkJXgt8D98yhKP ngUcUng2agn6XOFTq0uBSONOjEXiDmugfLagvfP1xAeGPg+UHbIGwXjKfztd fTDzZweT7hPWoPmfzbigmT++t1tdn9XbGh6HC14v2BWKjcKZ1TParEHXdc+h fKFIbCuRKV7kYQMNIlnld2KTsQr8rmmOtoEe6cEfcgQy3msXJDqaZQPKlgcc XFfIeDzFTHhfiw1kdeQPGh6kYo/3O3kruGyBh6vnk7pnCg49W/KvvskWeO+y ogPJ6fjUta2JA49sAZooAsPr6Vj+fuKvpQlbEKlwu+4aloHXvrmuynPYwaLg 3kuL9pk4wUxsrtXZDgwcieOz3FnYxbvI73W4HRwXkc9Si8nCKIF9+neaHXzY y8XnPZGFWa7Mvte4ZQdb05tTUPUZnL6pYfgeuz1ciPxkLbE7BwcICltP77MH 4UdqTw2Dc7CxQs7zzcfsQSWoL9agJwdvdyc+MXK0B2WB9Kvf5HPxcvSkYVCY PXQ6zPJoO+Ti59lWD8+k2sNBXkPZVHIuLuw43vPsuj1knYeED49ycdSLWvTt nj1UHV888Wc+F9t92dO567U92AjWPdrGnYcF+H+12LIRoDO24/6OU3m4PKKr YdyeAN+sPr9vuZ+Hfy5aShYFEeCtusTzZxN52DJgptaUzLBfUS/d/CMPs7nv KO+6RIBXHV/1h8TysfN4tWD0HQIs+pis+57Ix812qsVHBwlg9WdEZL95PvYz 88gvXyPAnyffulYj8/HdR2vbCZwOEG7hK7EnPR8L6J4+zSPsAH1Rd/45F+fj J2pNKVRdB7jm48Xv1paPD7UYMKsRHOCmDGe8UF8+TpJ/m7gS5AAq87yZbMP5 WE6CPdqr0AG6D+wXsV7KxxnV51cE6xygUZXna9evfDy5/2jYqzsOoKUpt263 qQCrlfTOnxl0ANGjvd4HuAtw4W57f70pB1B4HB+0l78AL+TNf/q7xojf46ut c6AA622jeLRwOgLx6odDlUcK8MV0vnehwo7waZVipShbgNdZrziKyzsCdYB7 x4ZCAbZI1hh9r+sIwkvEql8qBfjKryHrYoIjfHC7SDimXoBZo3yfWwQ7gvvR XGoFFGCnr79NOSmO0LxNNtxEuwDfDsrt7yl0hOsLOmQF3QK8fVZMP77OERwy I7bY6xVgH8+2XoUOR/j6aV/AHQbGE6YwP+gI+zustrgyML/DZEf1lCNwfn5p qMPwD3sVper8wxGG7y+cC2LwPzrF1czH5QS88UTPMUZ8kScX5QeEnWDSsE4g i5FfvL7idbq8E6g+QQp01QL8sqdPCuk5AZuM2qFHigVYRsO57gfBCbLtpwJt jxZgettXsRvBTvD5UEvqUYkC/E6RXuFHcYLlWMfvNiIFWOWGgPDBIicw8Dp9 8rFAAc6Tun5+rM4J5JS3TOfuLMBfarX35Hc4Qfz5jPg6jgKsLTJaYPTMCYLO N2TuYirApReCdrB+dAKOxtmqF6v52KywiIPE5QyN8Xo6hHf5+BK3JF16vzOc y/328+CLfMx0uovlk7wziGTX7dZ7kI9vUWZ+2zg4w+auhL+1V/Ix15/4mO0h zuBKsd86U5KPvWJ2rD6gOEOOVTF7RlY+3h2quqh82Rn+2qm7/gzMx6FfngYs dzgDZ0X+zscO+bjP22Om7pkzMJ/gcdpkmI/jnE6/37vO8N8mHt4umo8nDN8O /dZzgc3LZwi2Q3l456U/vxycXGC0Miv0Xnse1mMTFm0nusApVpaK3Mo83NDl EhFT6gJ6W8/2mYbl4QSF97tWv7owlvn0sbNseXiv0JT1YqkrUMot/Nx25mKT ONZE01uucDfp4J/UqRxMHhGtqX/oCjeGDwefqsjBs3leqwHfXOFBkmXyZoEc 7Mi60r8i6gaJ8h4xyUzZWDKGFBgW6wZX09rzy2tO43u1Kf/2p7jBtnSy0ZTt aezyqrBgMNsNjp/x54rcfBrny9++I1vtBkZhT9nP+WTin/OrXAsDbrDjj7OA k1AG7nOPrvcXc4cSjnqnkTA69jaOW/AYdAdDf9OmgQEyPqA5euH9mDsMFz84 ZUNi3NdKSmYuH91BqSbGq20vGVuKfLtG+OkOyz36vFZ9SRh++oedEvWAE+cH U6SW47HgJcKKerQHbOJsNX+pEYVfsKj+5N/vCWeOdrZo8frg7PX/Lv8n4QmG /0TjEm57YaPF7wReRU+IqYg9sGjnibvHbrRzG3pC6Hbbm5fL3fC1G+IJ7BGe cLHRcOhCqi3OdOH/t/LAE8Sq8uXqYwSwZvsPtsEQLxgXuVx1NdsDqXjMKJ6L 8QLb6Lsjqxc8kRzniJc71QsOKR/5tOeqFxJ2aL63UuQFK23bbPq7fNCvn6QU /k4vuFPKLqvxOAA1qX5j9eDyhqi2z1duqxLR1Q8fFKT4vOH1aFpcxzUiqsx4 7vld2BtWGh9L0kTCUe7YjV66vDcEDqvz67NHoODYUNpVgjeMGvJcDuoiocNt 8yyrl7xhoi97KGYpGgm5j8t33fSGpCd8VpnmMYiX44lH2h0Gn+/5DvVrMYiF cLVn76A3dOoebUrxjUXv1v2pGmve4Gk3vDf0URwaLifc2szkA05qDd6BwvFo wMBw8hmHD+w2a3v+jxiPOs6Ja3kK+UAju4H4Am8COqcyw5yu4wPCDy1z7hom opz3w8cszHzAKIFZw6cgEdHTH7gL2PvAb8a+lr5JRJGjNXfrA31A6JCUU4dv ErKM8aI8z/cBX2GtB+0hycjwgPXN86U+UNKuKvC+PhlBn/YHz1ofOG/owFr4 ORnJ8otqrrX5wFioT7zVUTLiav3AtO+DD9RrKG4qKSWj5VNn6S1zPvDmqLnW 1lYyevnZZKv1mg/ciSVqVw+R0YV9rXvOcPky+nVOynATBVGbgi9I7PaF7h8q JFshCvIxFRV9cMAXbn7Y0D6tSEFHk7Nl/x33hYNu3P8FuVEQL79OUwn4QjrM yoxEUND6jZ+qKsa+8NdlOqYyjYLuTnrpEt18odM50OJ2PQXVxgs83hboC3dl fe7+6aSgTN5np65E+kLZi5aRsAEKstJTc5rK9IVLI0M7xuYpSOXd8ofkIkY+ 0qpWg78oSDCm1lew3BdsHm2P/7aZiph4nBZar/gC+1SbpDYvFX26zBNhc5sR 7/VXrp79VNSv9XD9K/YF6c8Ng6GSVHTtTUJSdr8vNF06pWaqSEX5JHk2qVe+ kKkzs+KgTkXR22YzHr7zBX+z5ifFulTkVHuB2+uLL9z5zFrAaUpFgKyKmFZ9 YY3vj8A1KyoSG92y78I/X9gXX4tSCVTEQewqV+X0A4tH7ZO5LlS0yEE6PMzr B2UNzfPPPahoqFKiPny/H+y6dsnE0IeKmtXeHeOW9IPPpeLrP/yoqORlYctV RT/4UW48NxFAReRgI3UD5AfVkmni/wKpyIudqfejoR/8VHSsIwRRkcHF2wYU az+w9DxwfolxLqMSOCDk6gd/r/1m6WH473x+wLrd3w/i3yn8fc7gX/MfHrMl +QHrtl0NBxjxX7Nkua4k+cHpmSGl64z8cInmp5wMP1iaSu9LYuRfrfgjQLrQ D9hO7SzKZdSX/rR+ua/MDzTMmF59YtQf5OMR5X3ZDzjbaQ+SGfpY/Nuzwdzk B2ar9g2uelSkdO4ppazLD4LLG4foGlQkcIy2We2RH+xVl0xdO05FUx6LO0kT fiD8V2W6SYSK+n5Xndvx2Q9U5RVN2PmpqL6QINyw4gfryrMNNVupKPLBPYnp Lf6gc6SG8+UKBTm4xl2n7vKH63bLH72nKUhj/ejx/cL+ICFuHms8SkGbJUvA XsEfxgZKeva0U9B8z6kH39X9Ybc5dwLzFQp65shukmfgD75l0es6xRRUfIZo 1+/sDyb3PSPeRVKQ1Ff9kJPp/rD5R+xc9hEKMjmZEyGW7w9fX8wuTOyioKC0 4Zitpf4gJOghdfkfGdULedPGr/vD8OXnT26+IiNpI+q5hBF/eHHhKqk9noxM ih5d8PrgD8dK0thZvcgo6P2OKpM5f3ha85D5uTEZNURdbBD85w+CZmy/WATI SLaqo6fjcAAcPnq1dtA9GZktsvZVywVAVKYyK4dUMgpRNX6adSIAxFWDW7xW ktD1wbERJ7MAqP/Kp5hDSUJyG2vzG5EBMCZoULqpMBHJ2xzbo34/ABRu35CV KoxHluUxgocGA4Dz1YcDv07Fo/A5fHDbWAD0XhHaENwWjxopZtJv5xn8xZmH AmlxSPFaoGYibyCYLv6opvrFIqXNtYGdnoEwJ61LCt4TjU60CXSrswSBg+BV iUfC4Sjh8fUPK1xBsD+KrL30lIi63uqwXuELgqibaGAogYg0WUL1dksEwdRg t8LEWBgyMO59smgeBN6PRasaRUKR3dvAsYsXguDC63cpq8v+iMTc+Y1ZNRiu lXiJOyy6oOZdlrytWsHwFrew6JQ7o/VDM8dDTILhhi+2yrN0QglGPLGvXYMh fbdHF7mVgGgF3v9u0YNhZKxnaSTTGuUf2r7V62UwHAraatRUrYOuG7oeehAa Aj6mnX/myrTwhEl7qXlcCNxu7BbZclQXbz/FxzuWEgL76aq3A+/o4yDbxyzz xSFAFWtsud1ngsU9ld/z3AuBs9tsyGcIVrgygbvEmT8UXKSf3uZ744SfJwfs nBEJhe0+t1Y6mVwwE+1+RphMKDxgF6n5KuqKXTLiY2haodD578RC0E03vO+/ GZvLQaFg7a8q+em9By68jnesdoeCQvmC6oO/Prj3lkB60uNQGDri3yyS4Iu/ 3Y78t3k4FG4/ONvGse6LLTqkFgXmQmGM79hywJwfTvv42LucMwzOTBSZHOkO wMI+sQc/cYfB2oT6jZRjgbh55vBbCb4wuFQUWG1TEYinv1CsG/eHAZOsP79B QhDW+aqs/UAxDHaeSeWT3h+Cx8M//eU8EQbCAn+9J2khOOJ7frs5CoOkmROD P6dDcOWPhWNjhmFwKFaQXacuFDP9rTow7xIGVkX8Nhmnw3An546/PBlhoKAt Zys4RMTh3vTYjTNh4Pjis8Pl70Qs3r3xfTqfEb/UIjt6dzjOj/w8d6c0DOQM Z3cP24Vjv/c9Y943wqD6SbBqwfNwLKymanPqdhhc+C7NfXAxHL8ouv7sRHsY 2DBbfVngiMAaxqUPue+FwZSpGb8OisC8zZG320bCoOTX1tx35RG4f8e8XPV4 GNQ8ryz3aInAyYEe9dkfwuD6U1FpsacR+MsB8yrPuTDYXfxgxmMtApfH3xc2 Ww6D3y+UNN9zkLDNsNp5ldUwCGg38isVJOHu0+J52/6Fgc8HnubniISjpsu2 rrMSwTeeqGx8ioSlNPnSJ7cQId2tU43NjYT/W2NObtlJBGNmmfvHE0nYxCLm V8UeIkg11L66lknCzPWLkVmCRNh5+22S31kSDnJ/E+R+mAha4/e+lV0jYZEO i1ljKSJsqZyPFmwj4ZHdfZ5KckSwuLjEOd5DwllEjXcHjhPB9cLuPROPSVjr SZMD1wkiGFF7tom+JOH1w1LDqxpEUFDY5HP1DQk3UCos3msT4WXn2dLoSRL2 GN/ztN+ACP6uzxTSZ0mYXznb4LYpEa4HnGt8u0DCA3ls9y5aEiFhq8flmG8k TJuPQ5l2RKhfEqojrJGwiv7XdpITEUTvyhlQfpLwYoWvkqs7ESYL/I4s/ybh qo23Nw19iIAPfZut/UPC9nbWMoqBRCjYZHa89i8Jb7/VXyccRoRX53XbFxm4 d6umGEckEZS530tSGDjGt+XiSiwRxPbZIReGv2yPzL6JJCI8a+K6TWfwTwlW /9dHI8LRqjiz3+skfC5aYGdjOhFCvsu96FglYbOh3DMXzjD0JnRzP/lKwqwy mznS84kQ6tX4SoJRX2taYkr4WSJcu0H5PTxDwiGTK/+cSokgMEdzevmBhMXU A+L1K4gwdm9mVISh39jZ92vHaonwrb/KpvcFCWd/sw0XvEqEG4cCO5oZ+uuY Pl1gv0EEP1Tx+w+jP78uaft/bSICzcqU/Tyjf9dZ2j++aSOC+fS2l6evk7BA a+2bG71EMJFfaiAVk7AeFxPLpkdEOKP7otYzi4TDXQjihAEieHmJknKSSLif bWsk8xgRblcQVioZ87Vm511iM0GEmq2lvmcY8ydytevu5SkiaF99o9jOmM94 C+J2y0UiLJVsL3u/j4TrqvsVa1eIsD36icTbLST88oeo4691ItxV/r5wcDUC S5cNX6pkDYfXq9UnMh9H4PEvapor/OEwMjvzgDksAm/RKPLVFw6HCEf554F2 EVgxb/FMiWg4MFE4BiU1InCWcsVrbdlwmPk07nqNsZ/qKeykQu1wIJMNFn+f C8dlQs9rj4eEw6aOgtPoPBH3h0k+zYgIh9o7MnWPo4l4rZe28jYmHNTPXcl6 ZE3EZgFKQKeFg+Nhqo/INiL+11wyNnwuHHx6Xh9Ijg7Dbqd8tsb0hkN0y+9m A/8QLEL7TWznj4D2sZYGuS4//K4tvnZVKAIeE8bjXF39cOny79dyohFQsaeF aeOfL97tsqF9SSYCBkXMa7ORL+ZU/cNXqBUBel2i5860euOvi3/bgoMiwDgu yuFMkQfudmBhOdgdAR1KlkqX5OxxYh5Vyel+BJjix0QnFzt8oo8l8Gx/BFSX H7T+dtoWNx1nfbntVQTwFsvVv5u2xnU72Gp/fY6AssDqkNJSC5zzYJPRy10k aC4RcbonqIdd5Dny03xJ8Hjk0TMRLkGkqmVJ9wsiAb6+lkoeFkW8liVxhkQS FPeovJ+tkECPiDKeXPEkWGDfcqizQB4p3rRQzMkmAd0jsZ/6XR1xyZ0f/u82 CVRY+AxoW4zQNJrqj24nAZmCRgbcjVG3uTS2xyTYZLj8cE+bCYoK7bok8IgE B09oPUxwN0eT1yZjysZJcOZLWreRiSVqlZHaV8saCVpGBwcVTOxQgTqJO21L JHDMU+Map+1QiGknq9+2SGi75Fe0kGyPRIPN5yX2RMIhvT1jlGsElF0f0dkg GQkatpbDPb8dkZdUh+tti0jg/S2g+ljCDSG1Tdb/2UbCaFCTxJYgNyRgbGYQ 7RgJX+8PbdAb3NBgwHs5Ve9IODWRGKoj645OXGFj6YyJhJNTAwfPHvZAPBKm 1fcuRsKuus13Yr56Io9jsdrcNZEgbEYMvS3lxXif1kwSrkSCzLmx3l9eXsjW 6M+BpSbGuc5BpfMvvVBpYMOFvf2RkNObOcNZ540WI8ZOeg1GAut/Qb8CXnsj lLBp/NrLSCj/t3qmn8sHTWY5C+i8i4SDf1KDUgJ9kPi1bWdDvjP0Cebq7Rf2 RXHNqkptPyOhgPLWdLuhL3rc5f2K9V8kpBgOPjcK90Uhg527ijmiYEdNs279 XV/UPfL51tT2KBBr6uB+NuOLeN7zWcryRsG1vm/0L1v9UNNycG6vcBT4685V MFv7IfafxUe3i0XBr6VG4p9IP2TH/GDAXoLhn3ZDb/E/P/SLR3jbokIUOGxW 72t45YdAYSCD3zAKmIS9Ry7o+aN8tV/inmZRYDF1XFnNzR9NaR/ua7CKglWl nfJPYvwR3TqJXdslCv5pXmJ+VOuPRp2u1JzxjIKknrAVxQ5/JOE9rDPqFwV1 nsbthc/80ZNIWVpwRBRE6m0PllvzR8JJDiKtMVGAH0nfC9ocgELp9LssSVGg aNH44MKeANSdfcvNlBYFecvWPb2HA9DOsxP/zqZHAd3Lavs7xQDkdZHz4uSZ KBg8HsG1rBmAbl9S0pApiAJa7pLoD9MAxH7D4230uShQex78+Lt9ALJvzU7o uRAFyzeIyZ89AtCV7vZ926qiYCre4v6rwAD0u2+63a4uCnqz98u0RwQgk+c7 HSobouDbk0vmZ+MCUNmYxs/5W1Ew3vt2IJgcgJY/BJxTbo2Co2kDNhqpAUjz y3/K1M4oUNHPP8eREYDyv/UMP+mJgvxKdetnpwPQx1+LkXv6GPW+jDEvOBOA lFj38Xk8jQK918fsrLIDUBqXflP9UBQ81uHU5WHg0V0RVj9GokBHsX/9aVYA khS8+E3zbRTcinrlkJkZgOLFHudlTUaB1LCti35aAHoi/UNuZCYKns9PbWyi BSDh46LPDi5EwYsNHdWHiQx91c1Dg75FgcKva8JZ0QFoQlhnwOlHFIQ+9soe DQtAZkyqMqYbUVDs0PzXyD8AdX6QyVJnjoZkw1inj24BSLpXZE6GPRqqKprO 19gFoNLqPUbCXNFgxVZ4K4ehNxd96+XtO6JBtsmhqkorAH0xWPNZ2hsNz32H JE0lAxBBcu7+O+FoMAvhmPgoGID6uN6LPRONBrZx/qor2wPQpYFHkzdkomH/ I/Pxe0v+aPeNLs0K+WiY/1tRsu8dY97yGsvzlKPh4hZ21pqn/sjL+oJLuGY0 WJ+PLrOu80cvj+d3euhFQ2JZoVFioT/S3pMmaGUcDdsC72e/TfZHIq/DXivY RMOLg4e4jKz90TtXHdtVv2j4fUlTZn3FD5lpqt7+FBwNLnFaT1le+6EuEVne 4fBooPrxfTTHfqj0056h5oRoeMtno9uS5occAudMY3Kj4eNVk6yP3H7okcn7 er+iaDBgEo6SXvZFKrKvuAjno2HzdOVSz6Av2vO165FqdTSMoJLvH7J80cuo fN3fLdHggYc/8/3zQeZUVfWkd9Ew+YLwe/CeN+rylC0N+RgNxR7Kf/vOeyNZ XdHfLp+jwfnYlSWpMG+0dcu2NrQSDe9Nbq4p7fVG/WfeKzJvjoGepH+NRYz7 S6c4TTpFNgYq4+i3D0x6IMkIV6UJhRi4kLrjt9NVD7TDVBlUVGPg4F8hi20k DzTONGM1rx0DlDdZfi9ZPRDJTy/emhAD0b/843SE3FG18qZ+sZQYWGyedp2P cEFsw1Tf+2MxUPtiSuaSgy26tzOpkj01FrqeX+ddKVVEas8S2vUzY8Er6rzx b7I8unUmfig9JxZ06vii5r3l0MUtsSxc52PhVbda/RVvcRT3N8KD+3osbNak kIOHt6NjX/xF+MdiwX7gdcbxvRK47K5NpYRMHHSaxmbrv9PFfMnW7QHycWAq OmIW8FQPZ520GrqqHAd7sxWF2dv1cWzLKRZZrTjIihk+djrbEFs3GHvI28XB +BOngn+ippizWFNEjRIHDxIvJJz8Y4EptnAigR4HpfnGzCE+lnh9F7LsPB0H ApIOLjUDlvhT9kkq+i8OXizaRO4ttcLdKcqT2lfjQKS3xeuepA2ODpOpNHkV B8V8uoeaee3x1s2rsQqv46Brc/ybbb72uPxCh4XAuzjYfNQW+bTa4/5+Y+bZ 2ThQXtQr5LEnYMFDAW60jTgwyr4sfOC0A75555hKAHM8cEydrjd65YD1LH9y W7DHQ6J/6idfYUccmpyOhXfEg17fPS5SgyPuGasVbheNB0/vxCOXu5ywbVjI Wrl4PDRfCn6kweSM59iVBtJk4oHN0zLqDjhjXsX7iTbK8RBz2XrUq8sZ+2ZP jS8bxUP7+f/kbOtd8IbY1aYR83iIdr5DYPnkgnPvhGd1WceDwPgpQpagK26f ZT6Z5RIPImm1v46nu+Kt2gdKjoTHw75idbcpcTdcPjYTvj06HgqfXpaoBjd8 POy60Wp8PHh5bkl4ZueGXS5o/OpJjYfsr4d9A1Lc8IoC+9DlzHhgeTzqPlLs htP7n17OzYmHF09cLl+75oZv/nAiuBTHA899Xf6SYTesly12TLcsHsYGovqu f3bDr8Xmt0hXxYP7XsERmQ03zGYZ3/qzPh7cINvWe787tq0v3lPUHQ8vKWtv Ol3c8ZyW+1L8fUb9UoWOe4PdMXlM/KFHfzzYLhJ03sa548vsrVFyL+PBg1pw rKzQHWtcSDbbMxYPm83/HCspd8dDCvqH/76Nh7VGUgFTvTvecBt+9XgmHqTY 7WrY7rrj3B8XGm7Nx8NwkU90Vb87PpTtnVr8NR7Et3QuXHnhjtvFZJzJa/Ew qDsktm/cHZvd+a7o+5uRT2S3+vcpdzxl0bHVjCkBNHqQi9KcO46ZpX1U3JQA 08yVNz58dcdbk4079nEmwGvVAc+1H+64gm9XIQt3AnCwnbxK+uOO66s7d1vx JgBFjfUqZvHArQp+xVV7E0DpGoufw2YP3NuzU/C7cAJwrr8+rsvlgQcsOst0 xBKgaqdrCHm7B3793vdgkUQCsEdnEbfyeOBPoTurP8kmwNxWWs3nnR54+W/H YSXFBLCcTYji5/XAG2d8L9NVEyDj1X3bYgbeLLRTekQjAeSbbnUFMfDO+o5r R3QSoK3inHTBLg/G+933WIxhAiQFGBzaxuCT6Odp6jNLgFCbH8fecHtgRUKH 0l7rBIhY1Jn6s9UDw6xPmz8hAT4oSw1Gcnhg42iek+0uCSCUFJmnvckD27J3 dHF6JYCcX/NjXyYP7FHko+nonwBlb9QPTf1yx8FiPPeuhiTA/sbtxs3fGXo2 3tHbiEiAtMyI5Q8L7jhFy+eRSWwCxLwaeewz7Y5znu8wuZCUAJurVkt1J9zx ebc7Awu0BODanX84+ZU7vpm042V2dgJ82aqRtanHHXdsu2P7roBh31PBYd3i jvtKvceOFieAg/aJlP/Px0R7+8SzqgT4mNO2EFXgjr8YersfvMzol4fIZS26 O14d5f5IvJYAPYd+/AyNYfT3h9fnnW0JsC5yWmbFwR3z07mDPLsSgPlE5yZj Y3csyte+2NjL0INyxGWLmjs+ocD93XogAXR9mG628Ltj39C2v/9NJcD98LVX 7E/dcPhfT8rMbAIospqm1LW64aQz29lUFhMgqOA4sbXKDRde9eQYW08AYlZG 55EYN9wzs4133/ZEmBx25fMRcMNPo1r/C9yVCKv3M86UMLvh0U2eezv4E8Hz uKNO/jNXvCTaKuwsmggKIX87Rf1csaCbh8RFlURYLL0U8DfTBUePNmuIeibC w7tLO9gqnXA5SFL2+iXCJpYbrvzeTri/7kIvd3Ai3CV68fgeccKCsSkGG1GJ UOR0JL/zsiPu3mtp+SozEWQuJTUW1ThgTscF77RbiXDm0Ju04wn2uOyt6Jk5 5iQQmG8b5mi1wg91zw5+YE8ClogeL7qvFV5u4Nw5ypUEX5h2zhTstsLaSV// u8eXBOcXZYyDIyzxrDDjipZIApKtQHSAuAU+5ubQZG6RBIIvVd7Is5nie5O5 bxrLk0BL68sHGo8WTpKVks6rSYLW10vVSZ6aWCXufkLIlSQ4tYnvkN1twPU8 v4QkmpLgnLuqZchNDVwInm5lD5NAMj2P+p+6KvYqO/4pfTEJ3C5o2X9qlMZs Dq8XnU8mA760fHHeVBB11ZCQmmYy+Im8H2V7eADFfN2ey6+XDHNRiq+YvUXR fLr2sRfmyZB2OK8p9rw4etlSH2HgmQz3nvBUVJOOoWq+5HX5zGRwOS6zxk5T QzrPRVm2jCZDoEom634FfRTJV/HH7G0ySN+aMOIf0Ee1BOGfRZPJ4Kr65Ppz XwO0eZJ/WXQhGUiKbkPEs4bI+yf70n5mMux7drL907QxEufcGFfbTYbMFxw8 bgdPIahvd3jHT4Z3EG7xzPMUsjeLHaXuI8MNF8G9STWnUEb+2otHB8jwe9uH W5mHLdAXga/9dlJkiHKv4zm+3xI1SE23RgAZuK7uU7T8bIUePK1W2qPNOFer Wn8kbI0mQj2b2nXJIPavYc7Lyhptb3p/ndmYDGSXm6t/26xR2Mk3tTk2ZIAn txsvJtig9IliMQV7MtB3HHm09aoNKifbVw47MPhtK8QKRm3Q83uvLgi5kSHj zH7PGTlbJG/6rPBqABn0Suzn84ZtkdFS9k7zYDI0cgZ8qP9jizzzTHO/hZKh w+oBcUzUDhW+6j+tGkkGQtHQCa9gO1QfncHxNpoM9V/9Vrtz7dC9vQZp5Dgy nP7Eby7daIdWne9THyaToU7WX1961Q5tZ0phCqSSQTHmzA3Ma48OV2olbU8l Q+/lIVNXBXtkO41jbTLJ8M31vNDdYHvUGtIeNlVIhrKusjcsI/bINdF5gHCW DPOlheCwYI/Ys5iknxWT4djoqbLXLARkc1lvpqOMDHe7XqfaSBHQRstnHYUK Mly9k3fXXIOAqh9kVV6uIoPg7nFC+CkC+jY15PxfHRnOjrWYyYUTUPG3yDtb r5Jh9VNcwWMKAQHz3r20BjIcdpDZlJNLQLPcHVE/r5NhJqenLq6MgHKEXV+G 3iLDp4SPGdlXCUhJhkV+uokMsV5L7f0tBDShVpPj1MKo127B+mgvAaUaGSwM tZGBn5IX3fGUgKQJc0aGHWRw11MwDB8hoBe+2XW4i4GPPlo79Z6A4qKOsSvd JUNy1VSj/SwBiaS+9KzvJYN3xKX2jCUCelQQfVfkARkuK/QZf1wloLBKgf3F fWR470O95vebgPhvdiZwPyaDekyR3B4mB4Sx2+vUpwx7uvrhZVYH5DPAqrIx SAZzZpkvK+wOaNvb2qLwITJc4KW/FeFwQE1zhiuzL8mg8/mFbyKnA3L6NX/K dYQM6DbrD1YuB8TKkXvt1RgZtMqc/zUzzq/sUdhqMk6G+NDE3/8x/C0PD/v3 TDDm7aBxUPVmB/RTMfahygcysCutjL5jc0Dl2oKHrk+R4ceniQFDZgekb4mp h6bJUCVW/2Fyg4AW3Tzel8wy5jvq0NWrPwjov9BNGjvnyCBSovq4+isBqSfV laQvkOEM98rMwBcC+phl/PPvEkN/99AGySkCyipZtI38RoYPDsNPW18TkMKV vKa572R4zGLBHPecgF63Ku70+EEGURITe+hDAqI8HAkd/UkG2unvF891EJD4 cNxTsw0yfA0UKf5xg4CiV7rT1Zgp8D4CFu3PEpAwi9f0TVYKfL6t/tspg4Ae 7NisI85OgbzpuEfFcQTEK2v6j5eLAr0OT43uOhDQnZPLTqe3UeD6euZ4gyEB eRgXtDPvoMDiau/8sDIB3fQbi1zkpcCy3BHaJA8B2UcnvPDaQwGlEeB9+Mce MdH3H3uzl2GvWaY6P2uPzKq85x8KUyDXwyB/o8Merd3cYqRxkAJDE16/P9fY owvdVy81iVKA87Cpl2C2PZp/+9WjQpwC/Pxer62d7FEGf9JYnDwFpDb81o4v 26Ggqvyth49TgLshRfT3MztkJnsJPVemgHlTv9HyDTvEq/Os5og6BRL+EDWI IXaoLFQk/KU+BcY2HT34950tIv9Sqkk2okDE+Um7iHbG/ZFqPCppSoFNCXtL DhfaIvESkgbFkgLSr8fumenaolsPHnDKOlNAz+Sjw5syG1Ro8UZ9zJUCZr7n yFERNih6fCksxYMCrkK1Wq76NujkN/6R174UWDnW8/jggjV6KBRYlRZOgVgX DbcaOWs0TuI++SGNAnNhpA8ZxZao659oaFYmBU5mn8r762mJKjJVKpXPUKCY LerhlIwl8il335KdT4E2Y/c9HN0W6OvjxpcnLlBA7K6OAfPEKcQuah9ceIsC 2TP2fPRNZkjueXmZ/lsK/Fm49mieWQ+9edpnP/2OAtSdUTqTSbqI3r+8M3WS AsqjZX+dfuug8V5I65lh8Jk2rqx+00bpze9D1b8xzq0FifBWE70vOaCpsJkK aix/OAV11VCuT/mU8DEqHE/U3sgwEkNqnn0XOhWo4P+rfEP/iAiadl22c1Ki Qsq1jBs5bAfQSQI8KVajQvOc8fMd1D1o1vh9E68eFWTjzR7RhX5pwLEDdE5H KnxwZRWr+SeAl39fFF9LocK/94umEsNKWNK7vsc3jQpX9vprTncoY6+BVqex DCq8Pi13lFipgkfLn+d2ZFOh73y+8oj/Cdyty/qTeo4Khs8ImfKf1XFOjs8j 7noqhDTW1HtaauG+9XBPyjUqVBDqcjrbtRi/4Ml/vt2gQjQqZTcT0cZRiueO Dd+mAjuvRuHmJW3sMvaouBRTQUF8YV9eki6WFZUJkHhBBW9uZv+WCAPsl6XK VvKKCjI3cbn6gAGuXNUt2zpKhZ2uLSXPjxji3X0uQ0vjVMj30uvfO2qI/wbl nmiepsLdYIfYBWljrDJc+vLIZ0b8jtS/VcnGOBxdDimeo8KssP4Wu+fGeJqn pzJhmQrGPK9uXSGa4KfNK5zav6jwxvlY+VCNKWY/wFTTtEGFGf0CfeVlUwwZ W9Hhfwx7ydbwDFUz3OR4KIKDjQbvtJuoS31muJTJ7s3gNhrIMZWNFb42x0FG 7VedDtKAba574dfUKfzhqMo+VjEaGK8sfz/HYoFt+ZozLx+mQb4smTn9gAXW fH/Tf02KBqxMbQRbBwu8O+rykVwlGrTwKD2suG+BTzseOaukSoPgXSqnb09Y YCbNGva3ajT4xqrlzvfDAs9xVXyS0KRBMrHHsOWQJe6uOFfVa0yDDTm2xug4 S3w8bfeuADMavCjOS3p3xhJfCSqk7rCggaookT+33BIXKee6O9vSYETjfFF/ ryXmFNr+nJVAgzWOn+tWLy0xmSULrjgy+E8/lzz00RIHPE3b/8ONBtYuYjpl zFb43a1NORc8aTA1TP2gy22Frc/R/mr70MC1WLhNUdAK9ycyh3zxo0F0Yl1z gLgVRp7Jb3MDaaD7N+nJjIIVbjL4Y6IcQgPB7VdXrmpYYUnZ+I63YTQ4eX1c qsXACvP+jCqRjKJBzG/1pUoHK5wx8Z3zeQwNfKWXztM8rPDf3vC46HgarBeV n7vqb4VJl5c/CyXR4HEOJ8e+MCv8OTuEcI9Mg8N2EbuGIq2wC2m+L4BGA2W+ K5+exVnhl4QAFR46Da7VMzftSbbChmj2Uks6DU6YG7fVUq1wl5jPHpfTNPB8 80wpKdUKK3B+pLNl04CJ1ZxUlmaF65bc167k0mDLiSW8OcMKC796521RQAP2 UM2QdgYuaHd+9aOIBk+yjr9uZuAt5W90ys7RQOoBr/efdCuclEpo0imhQfPV uKhsBt9KwIjo3AUacG01SwhgxPM7ZVOQV04DrYttX/IY+bw9/oJFpYoGToli Jzcx8rXcZxE+UUODTjfJr/cY9fQxDX5IqaPBtqaC3OeMetWnTSykrtLALdj0 khRDj1uP+7ufN9Ag6rZb3wuGXuI3DeRibtDgutOXrH6Gnhf+e3BRuJFhL7Sz cIejFd6ZoMN9/zYNTOuZabWWVjjdvScpsJUGjWffsJ0xtMJ/9GCR5w4Ntq/e 7L+HrPAsz8mnLt00+NK1g01K0go7/2g7uamXBm1hvD8chK3w0Lhy/dX7jPwk f0i/47HCnZcUTq/30+BGTc/FmTVL3POz6DXxKQ08ooIN/D9b4gfG6xJzgzQ4 6KAqYf/GEg8sdfS9fUmDnQ2jieROSzykuZ/fboQGaSGxxDsNlni4gOL7bIwG y/33S30uWOIJZT323gkaXCgJeLgj3hJPZtTZnPxAg1sdYb48/pZ4+g1nze0p Gux9EUROtbXES8mD2nWzNChiK8t8fNQSM/XZU858Y+zH3f2jM28sMJvAnWfs qzQoVVz/XcrYzy1BQgfIP2hwqodp9Mk1C8yzY7IrfIMGzn5TF8uTLbCIfeCG HXsKGO/SylLcZ4F1ZhOjRQRSIOngUZVfJ05hgxPvH5QIpgDBJ0F7RPAUNsnS 2s23PwVeSDgHkTfMsY3c5tubxVLg2P4+4chkc+wTk/ttXiYFUvIDn36KM8Np W6qCWzRTQOputRqvkQnuF+/zNPFPAYPzR4hyTvr4v3n1E22BKbCvwWbyNIc+ 9rzRuONwSApcyrnm7dCshzeUL3b+C08B23M5dxy36+Gj+lF7GhNSINXozBf1 Vh1c6C32eG9uChypWC/9taqJXSrJ8jPNKdDNKVCwx1EFf92nykxlSwW2Tede Ft0a7Vp3PNAgujkVuCe33K2Zfq3BVLqZcJ8jFVLElCr9i1c0dggO39jCnQpv /oRm3qlgR3KCEW45e1PhlsuYk9M2fhQm2IBLZVOhhVss6F+qOIpxKgzUOJYK p8/4XRTjlkTk0vg97xVSoXKPp1vpf1IoV9AoVFQ1FXh83lual8uiG4Izwle0 U2GkplamwUweLQkeTGqxT4Xe1t+70vaqoDWnLZIEx1QoalkVanmqgv6WLr36 5ZwKPc9PhjWQVdF2oS4ZDc9U2Lnr+tqryRNIVsjx7b3gVIid/vs55qw6ChEq OjlETQXv5y/+VbtooijnhNmI1FRYGd/KUtugiZIueBbypadC33GZkne/NVG2 kPy8/ZlUSD1qwrJSpIWuCQ2WvDubCrJFHhmEbm20IMTxe74+FbKDVrpV5nVR Sv9Luvv1VBhqJms4SOghgejyncM3U2F/ZjzhhrceMnimLImbGfWLDfp+f6OH qqk+hLzuVBjgZwlt7NJHakflP23qTQWngjo5i1V9NPTmT1jcfYa/9w59fikD xHS8KN2zPxWcpWVshAoNkONMb8vxl6nQvFvp7ntHQ/StIEf7ynAqbHtjf7f2 tCFKB8dB4bFUkG9SLc5qN0TNxd+mN08w+l33ubSRzwjtNDm4+/VMKsQ1fJay umuELq/PV5h9SQWNCdfF35+NENS0yvTOp8K9kcNTHTzGKOSvuW7911QIkZ4U TnExRo9uJJGSfqeCWhxr1c4FY+TmbMS08icVYj4npvluN0FrHLuzfJnoEHKw dnRA1gSJeTZUndpEhzPU7uChIBN0hzv26P3NdOD+j60kONMEWXbo3FHlpEPH asnmvZdMEJlvfEiEmw4l9kP3yt6aoD09l1zO8tChnT1ULeaHCboWEvGFi5cO vDIO6m47TNH4Q06WVX46WPygUR2QKYogDZ/x30eHbh9/8SAbU8R5sHLvhBAd HnyaFT4dYIqU41SPPRShA8cro93LeaZo4PCmTrVDdNBWcW4+Xm2KvF48M7hx hA7x2PtT2m1T9Du59KWYJB3Kf46mTt83RfnSfm7F0nTgv3qLYvHKFEmMKcxv O0qHpn0R/X1Tpqg79V809RgdBKUECSZfTdHixH85gUp0mMyotojhMEOppz32 vVehQ5LMt6EDvGZIUEX2krUaHRKb/vS9EjJDjR9/yj9Sp8MePyHLs4fNkFHe /S51oEPvv52F3rJm6IN6ntEtLTrUS27ugONmKOaL0/BhXTrUTKb8FVczQ9vP inuU6NPBMI10VhjMUI329wVuI0Y+Pbv7D+ow7IOOmbeZ0MHT/daYvz6Dvyjk hoc5oz+bBp8UGTLy6brKs9WSDkwKMrtrjczQ4vRs+G1rOtiW5cmXMHA39+GX LnZ0QO/u1EUy7PNVPI9vcaCD7lMnDiUGn5d7+X83nehwlr51aVzbDCllvv3h 4MrI/wD8DUBmaEujAIHNgw6VbOjTe1Uz9PqNXXuDFx1erO5xQgpmqJ6taJ+d Lx18HhSJpUmZoWSZoQSmADqQmxU420TMkKUt98TlIDqwUXkmX/GbIbFkE2QV SgeTfTOZE9vM0NqljPINIh3O8a7Pv2A2Q33PHjDXkugg18r+q/m7KTr/k9XT PJoOjs/0GtKnTVGQiOa99Vg6aOw/xWU0Yop4SHfoxsl0ODrTuaWc0f+Ppesz 3yl0uFn58J1SlSlqvn/csCyFDvKfHj67m2OKHPbc4PqawahnPudlq7cpkoaF oPNZdIj6Oup7xNwU/fWTHNDOoYOE/2++HGVTVNVenftfIR2spdoPmW8yRfPO xXwnL9LB7GbWjbZCE9RFH476VMGYr9a0WP4oE5R7fddodjWDf/MxtgRbE3Sc Ofv8h8sM/aPHhux4TVBSNXV/WhMdCC6rJnkpxujUU0yWa6FD56Vd73UY+yqy tvFhrI0ORsNZS5zKxuiBfnS1NKZDIS1+7dUnI8Q9Fygx9IgO0dRNoRdUjNDk rsuZ8U8Y8T/KxgpwGaGmk9NzYoN0cHERuNQ2bojss92uRb+kw36pbY99Eg1R +TEbBaF3dPi4JKPe2mSA5GM01P2+02HsaGu1zB89VLDNLenjGmP+k/WiWh/o oe+VFOz2kw4pXvnBFTl6qPnpPU3CXzq0yQi+K9qvh9REjfWMtqTBwaP2sloq ukhnwM5cWjAN6KfWDpDNtJGtGNF9WTsNbA+/PsV8UgPFP6tKjSlIA/7ilz2x 8kdQ9cio6WxRGswwJwh/ZT2MBia27bY/lwYhUtoOKq/EkMhCdK3yhTQocDyS 4Bgtgvo4TB6u1aaBorj1rsXIfYhX+/uWyPY0UFpJ4D0qzIzqb+tkET+kwc+W KoJrkSAe7oi1/jCVBj7j0wX6b4Txv95rghbTaaD58uCfyzkHsOUQf4PcXBpY yRZvevxMBK8vzj9d+p4G+xd6GqL0jmAd8SLukC3poPlXvNNq/Sh+e/5TfsDR dBirpfDM7VfBWsJZctzy6UBivCaUalRwbYX8QKNiOlib3LniI6GKw+qSOf6o psNFDXdxD9kTmK15LzlHJx0ONR+lWEuexFLPTYObCOkgbqVPbZpGONf6OyfB KR1u/WxMPCYN+PvI+bo/Lukwu9b+zdELcNfEzJSeVzqkfCA1Vw0BtpynOIyF pEMB99fEZ7WaOHZzs/5fWjr0ut/U0JXWxhOZTp8q6elwTuq4Uz5BG2ttZ6Xp Z6RD2g3tmwJ0bbyV71RXbnY6HJWvZh0d18blIl8URYvTIXvh/t8psg7eVJs7 9LCEUZ+3BeHzJR0cIKEcFlSWDi3D6PaBAR2sKJdy9XZVOlRtqfc7yK+LH6oL ixhcS4fS2AGlU5W6WPruPTx/Ix0+J2i+6+/Rxbk6gc55jekguBavHTapix2M W8+9bk2HzEdS8ir79TAecFFKvpMOHkOzhoSTeljMctNL0a508JlkUam018OL 9pbcwb3pYPrLneNyth62Gl+v53mQDtEBFW3edXq41fWiUXNfOrCVK73Wv6uH qT7zqf+epkMr9wmXuGU9zEeib+SNpsPUudqB0zr6eIsXTxzHm3RQnQ0VkLbV xxtWpT/Ib9Phy93rEly++vijwq1voZPpUL/E1pRC18ejouphMx/T4Wza3wHh In38ZFffgstMOjhrH19Yq9THTStvZ03n08Eiov+2W4c+rpvy87m/mA5zEmS5 bw/1cemLlamTX9NBRVTY/O6QPs7tTXJvWmH4H5rZMjCuj2mNHO+k1tJBnS7q yD+tj6OqCp2q1tNh4ZWwYfmiPg4o2P9a4Hc6RDocGvde08cutCt2+X/SgduF Iur/Rx9bRhx/xcGUAXzmMYpXWA2wnme3JYUlA0i39CUlOAzwCSvjZ+tsGUCe PXh4epsBltUeNg3bnAHS9yTNP/AY4IMK7o9nODLg0mrEkACfAeYVnTdw3ZoB R/V/TubvMcBbdkU/GN6eAWkNpW2Gew3wBguLjhlPBiRLiRQhAQO8/C3r7v1d GRCUIdVOYuCPk3uQ+u4MuPNOIeIzw350qLKjiT8DuNcyd5TxG+AnPTInpPdl gFnUqdn83Qa4+1ZrS5VQBvSvhNj27TLATZXax/cdyAC3h/91aOwwwHX5A7fy RTLAqluFusZlgEupBDnOQxkwdJnMu8xugHPCPzZQjmRASK35tBSzAaZ6hEr9 lMiAHDelsCu/GHpa/qoLk86Amh2hckErDD21Ug/PymbAG8LIFeIcQ0/5HdWu xxjxNj773Zlk6ClScnBEIQNuurT+NBzTx3o7D180U8qA+oWpr0KD+lj2m9p5 dbUMqExJpp9r1ccikw/23FbPgMK6e75Qr493D1kUSUMGdLxkOSF3UR9z9ozv rNbKgF6T3neRyfr4z03f3H26GXCBe1fDahhjnogF9J9mDD12bTyZPqqPu92F 2YgWGbBr82T0lBBjviwuU2atMuDH9tNtslz6uOQYThixzwDfPzqhTVN6OODr l/DbHhnQbjXZW5Slh10+RC5Le2fAOU6+Awci9fD/Gq7yeCqXMKxFl0qlJCQd a7Zk3515z/mQQigh6SpxhZTsSdaSc75zvqMsoaJSWslOKSPZSYWLFmXnUqmQ tHDPn89vZt555nmemd87u18JHLvhzQKnusOBAgcssXGhuE/yURbES0wta1C1 xMInmO4nQlmwyERrP6vKAhv20os2nWRBEb0uMSjbAh/ZYSLYfIoFc4fYxlej LXC9rO49uVgWeF7rEmsws8Bx7YqzHSQLdtxd8AgpNMe/dYR5+tdY4DG9q/ZJ GIHVrgoODOSwQGWz4CLKlsCuKxfr8XJZIJLRtq5SjsAVQz/fjN5jgfLhtDU6 LUwckvpRKaOMBWKaIu1tYkz8+fuLql8tLHBJOOh7hAN40+FW0dttLDByjvo+ 4QLY5kWjp+Mrvr/BpW0TCoDv3nq6PK+Lz3+mN+9VKMLeLsVOf/ezgN4+Gq1c Z4b7HqZ9rv7OgmTiqr6BgTFujzwgkyDLhrO7bkviJG3c7Or/Q1GBDeU6XpKd 67TxU8PT7XVKbCju+mQVnqaFC6YvJwiqs6HK/jorJlMTU0fffT6jz4Z/i3/9 I2e6FVu77cfx1mxIPjWTEK6hiGtN9h2MDWGDt5BN04mkJfixpI+xbDgbhoKm XL0X5quKZ8PFnkawYcPsBWp13/eq68XpjQIxbED3TW6W5rypilHr0Yxhs+Hy d/Y+6+w5uulG50XR2WxobcyU93USR6U/Ha9HNrHBTUexuilQFZla7HCbbGGD rupf0m9t1VANz0zco40NExNpE3Vb1FGbghJ7ewcbRMYThFf3bEVju2ZPrO1l w6i20WB/iiaSzslg3P7ChpXeBXmMeh10/RP3l9QUGzZd5iRsVdFFKoZxpdwZ NiwotGxxJnWR/nNflaCfbAg75fnRxVYP2c+aiNKXkuB70Ua5tUEfnbF+39ex gYRPovty9FOM0PK09kxLKRKq4EN9439G6HxfveNDaRLatGZvBdCNUVbIg8Ys WRIOopD7P4aMUUV2TIGPGgnrEv+ru69kiujjwb7vtpLgEN5780GwKarT9VGw 0yTB6dc61fKnpqi9ySFdV48E0YzX21pdzNDHKbmYBTofv0yP7omgo0D6BuNA BgnKiSvTmqvpaC5xxfQQQcLKmHK7IkGElslMezdbkdAhFP9yPwchmlWdXepu EtL8jMKDLQHlXngoLLSXhEq/DSPqXoC29uY9i3AmYYqR9HhfPCDjwDSDg24k jKkNPhOpArTnsvdmtX9IuDsdKNOqzkBih5/ntx8hwaw4W8NiBwN1qejQI/xI aGlLf7vOi4Fcy+fdmgJI2L/tIe1BJgNJR3l+DAgiIfiYzZ6IEgZ6b958SiKU BNUc0jn9OQN5tKdmep8iYcXUY/vmPwykkPFLZXUUCSemCtb1ijHRiPuhh2Ux JHBPupqDGhP5fFLvEUwg4UWkRvvMXiYKEKpdfyOJhGPvxczX5DCR9guVm9bJ JBRmxkyklzDRdCpPdyqVhLXVrwOO1TFRmPz+PcxLJGxfzG6aH2Iiw/Hqgf+u kNC/0vmvh1NM9LNAKfD8VT7/hD+zVYsIFEX/ltR3kwSPgYpVeRsJBIIutMTb JGwIu9iRsoVAi1ufPNh2jwTpbf2JDdoEqr0gj7rz+P472q2yMCNQwj5WW1QB CWorZHeKbCeQFW3ygFIx37/7kio0ewItH3X89LyUBMmhqKzTLgRqzXsUGVJB wtIM8RuKBwnEDaat3FRJQlKqgrGEN4F2mSRcqn1Cwsict/defwKtWfxR9Wg1 CSpBEka9gQRqb3R4tO4ZCUuMBmsehBEohVe+o7KOhM5XozLPT/H7W6dNrz0a Sai/UuKvF00giU3xR5a3kBChTHSNxRLozeDYbOFzEgKY02dH4wl0+e6uc/te kmDQTxZonSXQ3ydKxBd1kDDRoJ7UwMc0Q6nc2/+S0Ph9j9cdPh6Yj9az7+HX H+wI7T5DoJy64drZN/zxiBeiu/n1PDnWjtm9JMyNlLAk+fsp7SkctOzj81Mw NNSIItCY5IagzwMk+BywPZ0UQaC7fZGL04b5eqyQxxBKoKO3Bs6bjZHQMLrR F50gkMYxK9nhcRJMchu/cPwI9EU3v4DziYRdwf0tKl4EKvy1DnS/kJBuhSLE /yZQYM3JF2+/kWD1qzNmjxOBdFkf/o6fIeG1ym3fflsCVYjfO93+kwSmnp32 N2MCRfSuEYn4Q8Jm+x3moZoEMr0RellWgANX8ZNrtooEqtZiVgYIciDSsXrs x0oCxf24tVNCiAMTvzr12haYyByLvMHLOWBZ654695WJGmxe/1i1hgNBuc8v 7O1kIokY+SOstRyIuF+ZnsHP55Fi/+4l6zmwqK5c26aMiZZLLS77IcmB/dGe /QupTGQzqho0IM8BUQ13m9JdTHRFKmTATYkDa/fumY01YaLPttihW5kD135l 0p5tYSJeyR7N1q0c0M1J0cqdZ6D22MhPpQYc+HH+y9K/chlIvrTeTdOYA5qd V8x4FAMFj61pvWvKga00j4ELoQy03u7m3WwGB3zzUzXXWDCQi3SbN8uaA1Nn jab+vAX0vmzzgJs7Bz4fXbFu/TBC28Z9HLoPcWD9FEM7PhehmE0l1Q6eHPA6 dMFf2Bsh2TNW2ZY+HAhYXx7qPUxHng4n3DSDOGDxTW7oXrcZGp+o6VpyjgMy xZRDRIoJ+k77p+VuPgcICUnqaKw+Wl3/7KlEIQfilRSjTqrrI2U/2YqEYg4c LQhO/tGlh1xL393wqOCAQ3eFoYuqHsI79kRJ1XBgPP34kYlmHZQYCFrsfzkw 7Xsq9s2MJpKqlbro85sDspJGY0arlBDyfuGhvJMLeZM7ZRU0pqtSErM0Wmy4 wHIprutt/lk1dsf/p78dF+xS997eVCSAkz6uuFDsyIWIHsldvy3+wgMnrJ7S 3bmwUyo4aIfqWpwQ+XTz3mAuHBZcJir5Uwa/uZI0MRvKBed23iWeJQ1vw+7l mSe5QM9LFtBfLYt7Fs3v6oviwl2uXtmrK3JY9ZxxlB+LC00vyA+sB4q47Xzx u9gsLqivDl5jna2G5Yrjbitc4/MrT7KbdFbHYZ0OwQ05XBgqTv9it3orpm34 skLkDhfM/sp20ojQwIGX1U3Si7mwr5V07c3WxOK3bmbkN3JheumOlxymDvZt 5P+cWrggfLKx40iyDsb/EVrTz/n7b/zXOXRQBx9RH2g06uBCeElE/cZYXfyo UOZHbS9/vtfEHusiPfz344tOb79xwdy2XFh73AAzd1ovdpjhgopNyPBFZUOs 2DOfVz/LheU15Raq/xjij1NegkW/ueC3UKvQ9t4Qn1TTLUlcRoFzlsbASJ0R dns46j4vREGmPtI/+8cIw/ZLK4JXUFDG6RkndI3xssOLD7uvoSBsJuyTdLYx Tsl8KaovRUHtjLaZhK8JDlc+8+SeNAUKhXrbUzJN8P4yAx/ZzRTQJs95KDWb YLn2rOqVChR0uUvpJiqZ4gJh/+ODWym4oeFZJd9pilMu0jbu06TA6/npDK0/ pjhMsbO+TZuCtRHnpWwVzTCdYSLzyICCJ3eYfncCzXBLuPDzJAYFp0c5cR8W 0XH+sifhy8wpOPlOKpkpT8cXUgIUIi0pWPk1+vl9go5dCrpPeVtTYHyMJZ4S S8emdHJLry0FTXuNhlZn0/HmVnrHbnv++fvf7kuqpOOR0Zuq9L0UxJzrFr3y lY6bQ/Z1FTtTMFh4aLfyCoTzlojEqbhSoGdAGJTJIxy8Ofi1mDsFrU9CGD0O CLvkbTnLPkTBz0rLG37eCJuYvNUU8KTgcclxJYFIhBc7MxMnjlDw9v2wq9p1 hEeGZnQO+VHQ47yS/bQY4abAOx+6/ClwX2va7lyL8H2BA6RNAAVD5+4Ifu5A OIlaY1ATSIHi44D5+AGEg6RrBwxCKFj6LDlL8gvCTnfDqLwwCqKF5l7k/0bY 2FDNWD6CAo183RrZpfz+uP79cHokH/fVv/ETBizgeOH8qmgKPE+HFumtAjzU b2F2JpaCKyHTttFrATccnxubi6dAsr231Eqc3z//uZ9yPIGvn/yj7+clAVPk QRhOpEC/c462XxrwCUmxj64kBanO01Y3ZAA73mq4+JJLwSPGSII/DbCh3inC MokCwmzye5ks4K5TTFXBZAqyvnWP8uQAh9QIi9amUnA9ZdeXJj4WE341G5fO z8u9c1ZefFxkl/6ecYmCtrRCDQ/+evs09zqBLApSZidHqjcDnnyndB9fpWDT sFNl7CY+P/nPF6JyKOCNDv+6IQVY3bf0pFkuBbOVcfOqGwA3F0Qe/H2bgqi+ KRmxdYB9Zontlff4eR5/U3WQr4cQfYVGRD4FUjn5FqJ8vXLPtIsZFVKwbKqE prQEsHlLxq/ZYgq2y82dRXMID4oeGigro0BLIG/nn3GEadmTD3QfU/Bvkr3j u2aEq4bL0qaqKDiw5WrpQgXCB9SjThc9pUBUq/zF15sIZz5caa3ZQMGEpeCg JT8vhgKdWpNNFLScj9993wvhbstLEvmtfP8yDLyHbREW61QZUWunIE6NNtIt hXCR1NfW8U4K+ugxMikLdOxwqKL4Tjf/vjfuSFcZpGPqs2Xsll4K2JdrPEZy 6VhY2FNafowC195oxU4aHd+2U1syME7BUbGOyYTfZtgy7dt/Vz9RMLLRVIvW bYbPyMeWy0xR8IBUCBNhmeF5s6zdUvMUfLBKbhHqM8WXz3gZvRbggXlGyjOF YlNs0qJOS1/CA5Xh5E/6Z01xuEvlp/XCPCgw/+JryX8PvgX2JIqK8cDe12W9 vZsJTnqYffylOA8+Lyh47d9igrcJeDvxJHkwvPHG3LGvxvgod0ZeZDMP3vcf vlYRZ4xHbq3FQqo8YLmXpW7MNMJnPr++2aDOg+hSgfD8A0ZYXu8aJ2EbD9T7 JroO0IzwwZptrkv1ePDCZuCJdI4hnheahWcGPDgkF1akddgQX7Gr2hJnzIP+ rLO//eUMsWna2VUMMx4I33vo2dlngN+8s5lZQDzItxl55J1lgP8HV5rOnQ== "]]}, Annotation[#, "Charting`Private`Tag$854541#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{3.884775895569441*^9, 3.884775937683197*^9, 3.884775997518841*^9, 3.8847813225833*^9, 3.8848449226020403`*^9}, CellLabel->"Out[96]=",ExpressionUUID->"562691d6-9525-46b6-9020-08ec1d6523b4"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"data8He1", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP8HeCut", "[", RowBox[{"q", ",", "8.2", ",", "0.03"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data8He2", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP8HeCut", "[", RowBox[{"q", ",", "8.2", ",", "0.43"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data8He3", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP8HeCut", "[", RowBox[{"q", ",", "8.2", ",", "0.83"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data8He4", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP8HeCut", "[", RowBox[{"q", ",", "8.2", ",", "1.23"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data8He5", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP8HeCut", "[", RowBox[{"q", ",", "8.2", ",", "1.63"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data8He6", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP8HeCut", "[", RowBox[{"q", ",", "8.2", ",", "2.03"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"data8He10", " ", "=", RowBox[{"Table", "[", RowBox[{ RowBox[{"{", RowBox[{"q", ",", RowBox[{"PsiP8HeCut", "[", RowBox[{"q", ",", "10", ",", "0.03"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "1000"}], "}"}]}], "]"}]}], ";"}]}], "Input", CellChangeTimes->{{3.883723310084149*^9, 3.8837233122758293`*^9}, 3.883723350497587*^9, {3.883815582683811*^9, 3.883815584554695*^9}, { 3.88381561947631*^9, 3.883815640181409*^9}, {3.884771080246582*^9, 3.884771125002054*^9}, {3.884775912540292*^9, 3.884775918988637*^9}, { 3.88477602788308*^9, 3.884776049317663*^9}, {3.8847813495055037`*^9, 3.8847814242823467`*^9}, {3.8847834769201508`*^9, 3.884783486400226*^9}, { 3.884783523414976*^9, 3.884783565538747*^9}, {3.8848449016126957`*^9, 3.8848449574228077`*^9}}, CellLabel->"In[97]:=",ExpressionUUID->"bb3960f3-8cb7-4917-b64f-e3364369e663"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "slwcon", "\"Numerical integration converging too slowly; suspect one of the \ following: singularity, value of the integration is 0, highly oscillatory \ integrand, or WorkingPrecision too small.\"", 2, 97, 34, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884844965222085*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"f57396df-5e49-4116-94db-f802fa009a5a"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"8.633546135846363`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.00017091698528062772`\\\"}]\\) and \\!\\(\\*RowBox[{\\\ \"1.3389910838261461`*^-6\\\"}]\\) for the integral and error estimates.\"", 2, 97, 35, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884844965238183*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"a09633a1-57c2-4510-b1f7-dd86b2355f40"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "slwcon", "\"Numerical integration converging too slowly; suspect one of the \ following: singularity, value of the integration is 0, highly oscillatory \ integrand, or WorkingPrecision too small.\"", 2, 97, 36, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884844965248095*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"f7a6b6d4-64e3-478c-b750-2900cae7b20d"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"8.633546135846363`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.0003414510208695747`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"2.6756793764451368`*^-6\\\"}]\\) for the integral and \ error estimates.\"", 2, 97, 37, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.88484496525765*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"8f190cdf-7eed-49e6-b40c-f37074e69401"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "slwcon", "\"Numerical integration converging too slowly; suspect one of the \ following: singularity, value of the integration is 0, highly oscillatory \ integrand, or WorkingPrecision too small.\"", 2, 97, 38, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884844965267007*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"bbef7e88-2729-4aad-8695-a47a02e152f5"], Cell[BoxData[ TemplateBox[{ "General", "stop", "\"Further output of \\!\\(\\*StyleBox[RowBox[{\\\"NIntegrate\\\", \ \\\"::\\\", \\\"slwcon\\\"}], \\\"MessageName\\\"]\\) will be suppressed \ during this calculation.\"", 2, 97, 39, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884844965275897*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"9222386d-483c-46ec-99d8-175ec13380e2"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"8.633546135846363`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.0005112200709371867`\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"4.007765512339999`*^-6\\\"}]\\) for the integral and \ error estimates.\"", 2, 97, 40, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884844965285614*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"dc2f8bf5-cfbb-4626-8e99-f637876fd1f8"], Cell[BoxData[ TemplateBox[{ "General", "stop", "\"Further output of \\!\\(\\*StyleBox[RowBox[{\\\"NIntegrate\\\", \ \\\"::\\\", \\\"ncvb\\\"}], \\\"MessageName\\\"]\\) will be suppressed during \ this calculation.\"", 2, 97, 41, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884844965294875*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"457b94fd-e389-4058-9d69-e9d798d8d0e0"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"8.627935021309929`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.00009115485819681521`\\\"}]\\) and \\!\\(\\*RowBox[{\\\ \"1.7822739206150853`*^-9\\\"}]\\) for the integral and error estimates.\"", 2, 98, 42, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.8848449896678543`*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"17667830-2870-428f-ac96-33e640a1924b"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"8.78129167973381`\\\", \\\"}\ \\\"}]\\). NIntegrate obtained \\!\\(\\*RowBox[{\\\"-\\\", \ \\\"7.914670811966769`*^-8\\\"}]\\) and \ \\!\\(\\*RowBox[{\\\"1.4762479835414078`*^-10\\\"}]\\) for the integral and \ error estimates.\"", 2, 98, 43, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884844995234572*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"89d2ee98-4f03-44d7-94a3-5e4e3fdba85d"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"10.058349427430215`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.00003244163117705136`\\\"}]\\) and \\!\\(\\*RowBox[{\\\ \"2.1107264096092235`*^-9\\\"}]\\) for the integral and error estimates.\"", 2, 103, 44, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.8848450755786257`*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"a947bb62-ce6a-4dec-b2ba-29219b0d80ef"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"10.058349427430215`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.00006478040864222055`\\\"}]\\) and \\!\\(\\*RowBox[{\\\ \"4.215328477365909`*^-9\\\"}]\\) for the integral and error estimates.\"", 2, 103, 45, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884845075616284*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"2b153c83-4502-4c60-ae35-edc15770dcb0"], Cell[BoxData[ TemplateBox[{ "NIntegrate", "ncvb", "\"NIntegrate failed to converge to prescribed accuracy after \ \\!\\(\\*RowBox[{\\\"9\\\"}]\\) recursive bisections in \ \\!\\(\\*RowBox[{\\\"r\\\"}]\\) near \\!\\(\\*RowBox[{\\\"{\\\", \\\"r\\\", \ \\\"}\\\"}]\\) = \\!\\(\\*RowBox[{\\\"{\\\", \\\"10.058349427430215`\\\", \ \\\"}\\\"}]\\). NIntegrate obtained \ \\!\\(\\*RowBox[{\\\"0.00009691381890169087`\\\"}]\\) and \\!\\(\\*RowBox[{\\\ \"6.307699538453014`*^-9\\\"}]\\) for the integral and error estimates.\"", 2, 103, 46, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884845075627623*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"d2fdd3c3-a591-4232-a92c-c2a4a41c5130"], Cell[BoxData[ TemplateBox[{ "General", "stop", "\"Further output of \\!\\(\\*StyleBox[RowBox[{\\\"NIntegrate\\\", \ \\\"::\\\", \\\"ncvb\\\"}], \\\"MessageName\\\"]\\) will be suppressed during \ this calculation.\"", 2, 103, 47, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{3.883810722292903*^9, 3.883815642588806*^9, 3.8847695952470903`*^9, 3.884771149801505*^9, 3.884776053817601*^9, 3.88478143252708*^9, 3.884783568439426*^9, 3.884845075637065*^9}, CellLabel-> "During evaluation of \ In[97]:=",ExpressionUUID->"0800c2ba-8f86-4b71-a93f-2fa508494711"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"PsiP8He", "[", "q_", "]"}], ":=", " ", RowBox[{ FractionBox["1", "q"], "myNorm1", RowBox[{"(", RowBox[{ FractionBox[ RowBox[{ RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep1"}], "+", "myU1"}], ")"}]}]], "p"], " ", RowBox[{"Cos", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep1"}], "+", "myU1"}], ")"}]}]], "p"], " ", "range1"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{"q", " ", "range1"}], "]"}]}], "-", RowBox[{"q", " ", RowBox[{"Cos", "[", RowBox[{"q", " ", "range1"}], "]"}], " ", RowBox[{"Sin", "[", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep1"}], "+", "myU1"}], ")"}]}]], "p"], " ", "range1"}], "]"}]}]}], RowBox[{ SuperscriptBox[ RowBox[{"(", "q", ")"}], "2"], "-", SuperscriptBox[ RowBox[{"(", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep1"}], "+", "myU1"}], ")"}]}]], "p"], ")"}], "2"]}]], "+", RowBox[{"myCoeff1", FractionBox[ RowBox[{ SuperscriptBox["\[ExponentialE]", RowBox[{ RowBox[{"-", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", "Esep1"}]], "p"]}], " ", "range1"}]], " ", RowBox[{"(", RowBox[{ RowBox[{"q", " ", RowBox[{"Cos", "[", RowBox[{"q", " ", "range1"}], "]"}]}], "+", RowBox[{ FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", "Esep1"}]], "p"], " ", RowBox[{"Sin", "[", RowBox[{"q", " ", "range1"}], "]"}]}]}], ")"}]}], RowBox[{ SuperscriptBox[ RowBox[{"(", "q", ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", "Esep1"}]], "p"], ")"}], "2"]}]]}]}], ")"}]}]}]], "Input", CellChangeTimes->{3.8837229434769993`*^9}, CellLabel-> "In[104]:=",ExpressionUUID->"d559092d-edc7-4d06-a702-6eff5ba0a662"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ListPlot", "[", RowBox[{ RowBox[{"{", "data8He10", "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{{3.883723371354705*^9, 3.883723373426491*^9}, 3.884770051716117*^9, {3.884776222617082*^9, 3.8847762227081413`*^9}, 3.884781587092922*^9, 3.8848451057275*^9}, CellLabel-> "In[105]:=",ExpressionUUID->"6e0c70ae-f2e7-4846-95d3-a013dc639521"], Cell[BoxData[ GraphicsBox[{{}, {RGBColor[0.368417, 0.506779, 0.709798], PointSize[0.004583333333333334], AbsoluteThickness[1.6], PointBox[CompressedData[" 1:eJw9mnlcDF73x0dZkjBCimTKVoiyJuRDlqLNklJo2vea9mmftplpmjZr9uEr skSWFmtjLZVkSxHGluwJaZOn36szv+ef5/X+3u7cufec8/ncc4e2S+BadwUG g9GkyGD83//3/q95sYvgqNI2o6jF9B+wjVnW/k1fzkrYHl71xkhTzkzY6Lne iFSU8wgsfjFP99rbSGJ1jLb7Ok3tqpw10ZBZ47kjU84sbGxZ+2ato5x1wNJa P9CbJecJeGeyYt/vl1ziSfCWzN+jsUvOuhhf+GJau5mcp8B4pSD78q8I4ml4 9M+CkbZHztOh9MQie7uxnA3AWjadpfQknNgQL3it+uo+cp4J41/Lrre3hxHP QmHi0OXvkuU8G2zNP+7DBsl5DgSDrb5dEYcSz4WuxyfJBGU5z4PTrleqwqQQ YiPEjlqQrNseTDwfx7myYjNfORtjsuxQxbRnQcQLcGbeuYGjV8h5IUxuZZRv OMMhXgSJUtzcKWpyNgGnNcmz5HcA8WJsxjxLn8v+xIDjyBhJZ6xfL/OAaUv3 m3Yv8qXxJXBIZo3v2+VN40swdnK+7ECJF40vRempK3FOoZ40vhQxRlaDa2d4 0LgpXix+bJf92Y3GTfHjzNbtWnmuNL4M52YdHjnQw4XGl2HRocrO+onONL4c y7Lra2fUONH4cix6M1WQ7rCZxlfgd8roM9WfHWh8BTqc7th+S7an8ZVQXp7A lk3aQOMroXFuilr2w3U0boZzBdvz3gnX0LgZDPWP/Fmxw4rGzXF+1YIL2Yar aNwcDckLQw2altP4KlQ8reU6X1pC46tgOnnvXvd1C2h8Ncp/rk1tDZhF46uR +CZGoWXbZBq3wNg27/Lhe4fRuAVGD9WyvH+zX2nvuCUm2fC2pY4f38s8S1Q1 rY9YNd6Axq3w9afSPU/fuTRuhZEa15XzvBbSuDUGu4s2v1VZQuPWUJccWfT4 mimN20Djwd2dF8xX9DJsYGB+tm1Svhn9fc/47vQv75tW9bLUBh/Xu4++2WVB 89dg9gx229EmK5q/BnMOHAg222BD89eg7VbCxNUT1tD8NdBOcVwd9JKYsRZM OwPH58lraf5aVEx9a31h1DqavxbWF/LdDXcRS9di+/TWB9mK62n+OjT2LQvT 2kyMdXjjPCNN7wgxbx3qObWWQ+qJpevgYjf4oEGXfP56rB5wOrdrsC3NX48p 9Wo+jUOIeevBDNge4P1PPn89Cg+LlynJ5PNtEeV1TcvirHx9W3wZ95l9K0S+ vi3qd5no99eVz7eFo0bl95PVtB/GBlxrDmha70WMDRh+knv+yG86D94GbK3c 8mBpBLF0A6w2KE1/9lV+fnbghyocU3cghh0K7DZtO31Ffv52WHzebJWVGrHU Dk9z/TfY3ad4Mewhch5n+cfFkubbw3f03OwPTatpvj10qvO9gl3k8bdHbreu 6ooHlB+MjUhZmX70+NyVNH8jdngFpWpvX07zN8K4r2bEk0+Ub9KNuH+f+c90 4VKa74DMgqwF5amg+Q74obY9MvD4IprvgEMn+u+6udCY5jsg5vR8j7E1lO8M R5RO5E/qdp9F8x3R+tQspJZB9cFzRE7Q06HKK/RoviPUVaZPOblfh+ZvguE1 tQPdGuo0fxPQf/0Afef+NH8TgvqcmD407alJ7/xN2BI/S9jvwiCq383wXXX2 vtoXjV7uUddjaqHr8x7pUD1vxruJPka3E3V7WboZp5TncSczptP8Lcifsudb 4BFDmr8Fn1ZftxmtP5vmb4HRgst9H+TMpflbUB5mc8G/0YjmO+FuhPmdxhGk N3BCndrmOrPxi2i+E9x23t12i7mY5jshYu93qU0AaD4bN4cYPGOZkn6x2LBZ bd21tf9S+jw2llteRWgJMZuNZET4HbQ3pc9n44Lm++yuRmIJG7Mku57zXJfR emyoaLlZT68mlrHh7qcnGj5Zrp/OWFklDl0dQMxyxotGxo+u/4jhDG6Hb5JD OTHbGXcH3G459JyY5wxDE4X3Y14SS5xhpVIYNqaGWOqMs+rnyv6eJZY5Q+/v hK16yfL1XfD3K+f4kJXy9V1QHofkiZ30feGCPO7kq98kxGwX8AyNs1uMiHk9 f6/S7Si9Kd+/C27fUBv2bQmx1AVvrw2/MOoCnZ/MBdV20uqXo4kZrphQb9/4 MVx+/q7YatGv+W05xQeu0MxvvxU9jJjtCpnLLP2ywya0vivWWLbflqhSvCWu mFpr97glhPJB6grTziazGeXzaX1XnNpmGlrBlOePG8qufWqfb035xXKD0qKN ZT+TKf/ghid6t4f6n59J67vBPHempUaDAa3vBqv9lRkP5fkscUNaV/TS7aZT aH03XOjTWW+WNInWd0Opx6/MohtUHwx3JIw726Y/UIvWd8eBHxPqpuxSo/Xd kaidrjvHewit746wusFPl+3511uPPHdENoxIOrz4Ti9L3DG341G7a3b7td71 3bH+Vc6UkjPKvfUsc0dL3Y8lWhNGUP17oK4637Xh1uheZnnAelT3gf57WaQH Hjjr/sz0y0XyX7YH8j6gyPLqJNIHD0zziWGG/Uf6IvHAmUdaueU+00hvPCB6 mLSvctgMWt8Di3UYJpmVcv/2xCxjt8rSLkNa3xO+z9deeD9GrmeeiFNY4x+n O5vW98SFg7NHjdKZQ+t74tmjXcNXK5EeSjwxYFbs/DvPiKWeOMln2Jnunkfr e+Lc7UvRYlMjWt8L/s/KoqPqiVleOPk5fVWrw3xa3wtVD72ErWXEbC9cef2z gsciPeZ5QSiJ7shzI5Z4oTzDcEDPBZvW90KQ09idXgXEMi/8OTjpqF8JMcMb si079D+cImZ5o+Kyb8H0DGJ4Y/X6v/dzNxGzvWG3YNrjS+ry9b1xf0fh9A83 6PtJvNExvKPttCOx1BtO1gV+kre0P5k3IrY3261zlO/fB1sfKqd73aTzYflg xpocq1RNYvigwHlBiYcnnSfbB0uy4ydcPCI/fx/4vLLIWvyE4iPxwYU57K5r 7RQ/qQ9EVcb3+gwnlvmgaE273lPtmbS+L8xTEx1UJ8vj74vi69ETRfL7HXzh mPdqk4HBdFrfF8bDJx83GET5xfOF11LWxJp6ef75QvtSaGnl/sm0vi/ca2dN em0/kdb3hVrEsux7KpTPDD8UFP/OtrhM+c7yQ+DEuzX6VZq0vh9SLCuv3RhL /sj2Q/2BuU7FAcNpfT/43Hc9fjV5MK3vB2uHjrV9jPrS+n6w7Cuu1+/83VuP Mj8oHc0I4l2518sMf1RWV7hg/5fe+mX5o/Z155Kyfgyqf394bppV+uiiEtW/ P4T2FT9aDzBJf/wxIXGXo9OdEaQ//lBZ0v/vthp10h9/5LiN9R5/WZP0xx/S rW+yXyxhkf4EoLh2gOuIEaRHrADsGLs8Wf/ReFo/AIriIxsN4ybS+gGwD7x4 cf4Iur/zAmD7jrk6eDv5uyQADi+XPFbv1qP1A3D14u64WJuptH4Agob6DVJM m0brByLrlmqXVr4+rR+IsBXvvRyKSE8RCPFNj3HWR2fQ+oF4duCf4gYTuf4G 4k3LN7Xd+4glgZg9fPvmyU3E0kBEFNieL5hK9wtZICrNpt7QdyFmcHDl3P7Q I2nETA5Yl57mjs8jZnEw5snXPzeKiQ04GDbu4ZHDl+T3FQ4ejZi86nMBsQ0H WdMnFdzbQ8zm4PynB2mJXGIOBzMn5S9ctYqYx8Hoy7P4fkziLA6url673KhS vh8OWmWaOorRxAUcvM7qZ6LHku+PA23Ryasa4XQ+NRzsue+oPy2Hzk/GwZwE yUO3Y3S+zRw0zW5/kXdEfv5BWPdy+afGLIoPMwirxJ7Gav7kX6wgvA888XOO McXTIAgX5gtsLdop/gjC/Dzz7+4nyd9sgrBhu97j7Wvk+RKExe9dqr9/oXzi BKHPrqfZ2XHy+2EP+9/+tmuANu0/COcHTVdeoTqO9h8E8wMnf+QpUf4WBOFx XrzN/l/y/A7Caz3Fcs+6kbT/IIS/116/ukiV9h+ENmlaxlDtobT/INw1ubun 4CHVEyMYf0dP/PY2RYH2H4yqZ2/mDIxro3oMRlSWAi9wYFMvGwTDlBuTcLN5 R2/9IhhrRrZ+stP62Ms2wSjMPd0Stbutl9k9nyf26s+Zp9CrB5xg1D6ybXur qET6EYxw3jc9zmnSj6xgqOzdPaBs9zDSk2Dwv7Fqv64kvy4IhlHg1aIhMjXS l2AEWfZrPsjW6OWaYISdVsmdVj6G9C4Y/yr+ZtmO1Orl5mA0/vxV5zWe9I4R grnPVwcV62v3MjMEt25kGg7Uo/6AFYLfl9XzGkaQXhqE4OWr8OQrzcQIge6S Q9cXX5nQyzYhGGrtWTYwgvSWHYLH7XpJFSy6L3BCcEP0IcLkovz+EIKaYydu TwfpdVYIlLyCdYMKiSUhmJZ3+tsHdV3afwiEnZwPCT7E0hDsy4kwMz5BXBMC t/iFYvU6YlkI7CvmmRn8Im4OQfZhYaekm5gRis25C2t3/CFmhmLw2aDI5a+I WaEY02drwY9CYoNQmC3+Nv5DNDFCUVjY1TfWkNgmFHM1hRdGPKXvzw7F7Ywx rhr+xJxQtA7vOvnvp3z/oRAUKkxd7kecFYrY9FODObV0fpJQuJmXHBwyi7gg FAOEJx4VJdJ5S0OxS317Wb87FI+aUGQlh684+JfiJwvF26AjK/SnEDeH4qVl jLuTBcWbEYZC2wb2JzfKB2YYvL5uGTv0I+ULKwx+q97nNv0hPzQIg7fHBL23 f+i+iDCkF3S58D+RP9qEYaX6yXdbHlB+ssPgO6RfV1c+5S8nDDE+tnt/JqjS /sNgYJm99KkVk/YfBtHqmU8ip6nQ/sMwxta/Mej8ANp/GLbsHKh3ZY4i7T8M aa3H1/zw+9tbbzVhyPk9U5EX9Iv8Ngwf7C5yU7obe7k5DPbhZ+YqvblF/hsO du6za+w7db31zQxHbG7+1l/lX6n+w/G1r2p6Sfgfqv9wjNQo2Fv5hu7fCEex bJDziWF9Sf/C4Zd/cVuWhtyvwyE+et5nZ38V0r9w7HZ0rlpbS3rEC0ekrUXA gpv0/pUVjtcauYc8RcNJ/8Jh+uXs6cOLSd8KwlHUlD+1+TX1B9JwRAWFqLty SA9rwtFtVrRe6xP147JwrF0SoGxrNYb0LxzTrCxUVu8jPWVEoL1zjK7to7Gk fxFoSOz0q2+R9yMRaH66yd26g/TYIAIK49x1JKF0f0AEhgWVJP/3itgmAvqK 18yUTEjP2RHIEOk9zM8k5kTgqt2niJjHxLwIuOnXxbirkB9kRYD1LUnBdR6x JALrli1rjbAlLojAti+72854EEsj8Oac8uJxvsQ1EVgTv4PzxoVYFoGtne9i tKyImyOwyMM7gKEv77+42DsiZd7Vf/R9mFzs+NAelX2HmMVF1d5y6+sJxAZc DN5QyMgxJAYXo7WPlXnWyvfPxYMFo1NSOcRsLlijXoVsYhBzuHgbfPNcmgqd J48Lk/v+7s796LyzuOC/c7w6+gvFR8JF8xkr0eHrFL8CLpZPevvnC3807Z8L wfWGh60LKd41XGjNElTcejeK9s9FV27RaZd4ypdmLjY3fDvxZjDlEyMSkzrm x2/KpnxjRoLTNq/4izL5JysS0ZnfX52PpvumQSTybz6IPHl3MO0/Esa5Mzua M5Rp/5FgG5bNF5gPoP1H4j9uwwNppyLtPxL7fET8b8fofsuLxFkp+5BU0tFb T1k9n7e+w+nOt5/Uz0bi1Xl3SXfMp14uiETn/lPjb6x5Ru9RkXiSfts76JU7 1X8kDudtP/rT7xnVf2SPn+z6amnwieo/EmZa4tbQ2J9U/1F49Tfx1oAy6peZ UShnfkppaP7Xy6woGMfvEQk6yb8NovBJ9bbet0/0Po0oeB/wnPHwFvm5TRQK V6bZhgsGkf5FYeK+yf8MDIeQ/vXwTIttc9mkd7wonLHXPPBE7vdZPeNDHTuk t0gfJVH4E7I5yVpG/UZBFIb8V/X57WfSU2kUjk6xG/S1cSTpfxSm+x0c31hD +iuLwjymlabd8VGk/z3rFc0pehxIes2IhtOw6ELGBLo/MKMxP+uSgug2MSsa n65MuTltPem9QTROrpB6nrsv1/9oTNqx5fyPeXTfsIlGGXdiSbWYmB2Ngnkt lcbVxJxotFyfETq7i5gXDbOVo8zL1MhfsqLBOCeoGaRFLImG+PxBm8mqxAXR 6Keyes/qnzRfGo1GUVtl0XXimmgc+nxO5Xys/P4TjXWTny/eOZm4ORqqo8rO Xi+l78+IwVibtKuHVhAzYxDUYeyXf0W+/xjodH8e7KFDbBCDrWYPqjZw5e+l MSgZLDUeUUrna9PzeY8j6hf8kftfDCpKBxwI0SbmxKCsPT/Q24TixYvB5blZ hx9aUTyzYvB16ekA33UUb0kMwkYHubZaUD4UxIAVZFy3YCHlizQGekc3OgzU oXyqiUHEl12GLt10n5TFgLF70z7V45SPzT1/X5Gx9unygbT/WLi1aHt719J7 LzMW2V8tovibqH9lxeLRju7g7/V9aP+x4LK8rldLuun+G4tNb1t4bklUPzax CCotPDjZifyXHYvwrRMT5wd+62VOLL4y7l3ls971Mi8W+9U3M6zOPerlrFjc WLKVb6ogpPqPxeGgPhNTlZ5Q/cfi2tvlNW/E76j+YxE1JHKTY8i3Xq6JxRm1 Oo1c9V+9LIvF5YTkp/NldJ9vjoXHlyFT3dL/9jIjDhY6X3X2DOlD+hcHu583 +vqsIL1ixSFnTovDLb9+pH9xCD18HA480jfEgdtlPvhL/EDSvziUap0auMqH 3sfZcQg/4Kxha0J6yYmDr3S33b8Oes/jxeFU7ul1R61JX7PiMMc2YK/eSLoP SOLA96no2H+PuCAObFNx3CEu6bM0DucWTml9PpL0uyYOuia7Rv87QiyLw27j 2afvTKT3geY4+Jc27GjbRcyIR5KJyme3TmJmPDjLtQY0WpM/sOKxfF2BgL2D 2CAe1/wNLG5WEiMel1qP+Q34SWwTD25mrZ7BIPIbdjzGDymsXTWCmBOPX8dj LgcMIebFY2HK2pYr7TQ/Kx4PjlxexK4llsTDcVqfevER+f0nHm83FSzluRFL 49Fp694nQU3e/8Uj84+q68tLtB9ZPIZH/J3bvEa+/3isMJMkqjXQ+TB42P3s kuHFjcRKPCxxvnF9ZSWdL5OHUW7tTUaGxOo8zJjOma8spniwePhoN0u6uIHi p8vDRcl3iauO3C958GPlbRp0jeJtxIPwQXt32ES5f/JwINej34IYyhczHuqO 7B+z66Y8n3iYPHpwfXUX5Zs9D8rWCs/09frT+fJwfez7J/1W0f3Ti4f7p6ef z2dTP8vh4U3Xpd28APJbLg9ZM/SULn3sovdjHs5POi9Z+YnqQ8iDjumZwwGv qX6yeLjc+Uf660FzL+fwMNKn/Nai2I9UnzxEZU7evWX9617O6/m8o6+sMzc/ pHrlYcTqmpWJWod6uYSHTYI/LxJ/VtL7NA+d5lcXZTS/6OVyHrqv72eqPaf7 eg0PFXEfDs2UkH7U8eCb7pxjrU3+LeNhm16+SenL1l5u4uHrA8X1g/gd5Pc8 nEqaNfDTCNKrNh667gcobbvFIP1LwIqFy9qsOeTvSgkINvaSHFMh/WMmQL9N 4duhHPJ79QQkvTaLXTec+hFWAvxvmWq9jCb/102A5oiv1kEPSF8NEnDV3eHs quGkv0YJuGd4y6sI1N8gActa5/CGbiS9NkvAiC9X50kd6b5gk4AFRe0WS82G 9rJ9AnzXtOwdOpT0np0Ayzzv6dwAYq8EMN+W7Z5xg5iTgECt8rOqyuQX3ATc 6J/r038FMa9n/SPrG/6EEQsTkGC2BQ3/fx9JQO5r208FZ4lzEnDCbdCC6Kvy 94kEtDnyMszknJcATkvJhOnyvy9IQMDAhH7m8s8rSYDfwCWvrsrXkyZANLHP 6xL59ylPwKFLVzL9VYhrEmCyYsoutTLaT10C3uuN2/k7nFiWgNoBFxvXahI3 JSDv349bHQF0Xs095/Wke9n2bDrPtgR8rDHk6h6i82Ykgm1x8Cf3AMVDKRE6 m3111oooXsxENF9edFLkTr+fqCdC7NmvRsGQ4stKRIl7fPl/XykfdBMx+Hjr KKd95KcGidgYUPhS34TyxygRNh6HJzMfU/+Kns87kjJTxYnyzywRy44FX9aX UX7aJOLk9pPxymcpf+0TUWVtlmS1tZP8NRFeKQ6qdh703uSVCIWiMVX2M+i9 mZOIUGX+q7TvP3qZm4gBrwI1bNd+Jf9NhGgjy/rVFao3Yc/3VWo1mjJeRn6c iFmjdr02H07+nJOId4/zLIpzi3tZkoiVEz+EjLp0heo/EQ2buv/9mPqY6j8R H86eqJ6aJKP6T4S5udPp088ayb8TceKPpqePOvXb5YkYaDnl7Yx9P8jPE2H9 599g272kR3WJ4LoyHkgF1I/LEvG9e2rjASfqH5oSEWbgK52qTf7enIgJw+P2 FFZQv96WCNejs65Y6ZPfM5Jg8sJp8ClP0kulJBwIKAwq3kb+z0zC7dm7bKUF pK/qSZg/6IWp9jW6D7CS8KzhOXCZ9Fg3CR8CTMdmHiO9NkiCwpTj0rREeg8w SoL7432+0tWk70iCpF3vx00F6p/MknCBf/rD/GPyfioJ19t+1Tw0In+wT4KF JX++RbH8fpEEvSv69zk69L7glYQy5dMB6lHy94YkGKie1tW9RsxNwpWbHxZt /UbMS4LxoROqGwaRHwmTMFq/XIM3gjgrCafW9i/WUybOScK/8fM1Ir/QfEkS /qROUTl0mTgvCTb/Rd+QRRAXJGGjoGBXkjZxSRKW/9hbISuh7y9NgrKCu4Gj CXF5Er5ccZexz9H+a5Kgrj+x3mckcV0S1s+/cKDLk85PloQNA0se/neCzrcp CUXpnDt/XtD5NyfhhN7gAbsViNuS0Hn+yDsDDYoXIxkD/+n+4uhQPJWSMbim QKw6juLNTEbFiTDUDqV8UE+G35D3a5J+U/6wkjHsyqSJH2rIX3WTkStp3XR8 OeWbQTJeNpy5vLKO/NYoGaHV5kwXR8pXJOOqk8r+khrKZ7NkeJhOUVI1/t3L NsmoLW6cYLy7pZftkzHxZ1R4H9n3XmYnY92vkv0cHvXHXsmoWR5T5T3qfS9z kjFX/c6qqWte9TI3GX8GcZrmBFJ98pLxTvGLRhDrJvl/MmbxJAVW5tup/pMR o/d6ogaznOo/GZmiDJVx52up/pOxZjuU/A6SXuQl4/P4mgDDh+97uSAZ7Q2b Vwi+Uf9dktzTL//V0fvxnfw/Gd1q62xDfVvI/5NhUlt3x66a+oeaZGTdXVAk HfeH/D8ZU9Dz5bdQvyFLxtNY72yOkPSwKRmejdbfFffTe2BzMt5bjl5VvIf6 +bZk2PY9MFBfKvf/FIxtDZV6HKX+RikFnCyrnMR40mNmCr7fW/RScTXptXoK +GNOHYpQkvdHKVAqT/wRWkysm4IfOmzV/Xak9wYpcFlVmr+3Sa7/KZAEdbdP 8iF/QApiDGc///ec2CwFu5be7fqxiPzEJgW5VTVvH2US26dg2RKtDv4DYnYK OriaW/8o0P3DKwV6/IC3mhOIOSnQ3ejJaJ9NzE2Baov3rZw58t8fUlDpYnZ5 +CRiYQoctlzpI+5PnJWCCi/1cdOf0no5KVDoY1tnkEMsScH4pYe6HpsT56VA LebwVPcvtJ+CFCyevHXHHB5xSQpa1/oX/tePWJqC5uV+/dRi6XzKU+AX0pXf 2UjnWdPzfadFzagyJa5Lwe+kT/0HbKd4yFIQVNNmOauO4tWUgoVPYje8YhI3 p+DfgvolEhOKb1sK+i3z2j7MRR5/Pl543xMd/0P+qsSH00DVXdoalD9MPory YPlWj/JLnY8S6ex71lMp/1h8jElxZtdoUX7q8lH3cl78k37kvwZ8+FiZPHry mvLbiI+Pm/lzLS80U//Mx01Fe5eIv1962YyPuwtHfTZLaaJ+mg+DoKJiDUXq l+35GG20OuLrz5fk/3z01Vlg8az+Cfk/H6pbCsK1Y+6S//PREuT199/sfPJ/ PvZFDr9fs7uQ6p8PwUPn+YF3qqj++ag0c1p615z+vVcWH6EfdA/MUCb/zuHD mDVpZu4W6r8lfFQsLmmLOUi/j+XxcT5QPfbfXfo9u4CP4OLLrTf9qX8o4SNq fdWrG16kZ1I+1F836JSuJ38v52NWnLeGwKCV/J+Prswj/N8dpI91fHyeuXdl y7l28n8+bNOvtQfbdZL/82G2MHhX9AfS22Y+Nk1eqTzOpZv8nw9Ny+xz8XdI nxkCaC8d0PIhlfRbSQDLV/lTj0+QvwcIYK78b6X+eWJ1ARLXeuydNIfuCywB bmibzbY5QawrQOp3hy5/VfILAwEMzboeWfgTGwmgosM9duMSMQS43mdR3OkO YrOevw/oTGqbJv89QYCNc88P2rqG2F6A0O4L4jAvYrYAwqjDu48Gyfs/AUp2 Rz8w9CfmCMC8VFExzZGYK8DdK/3aCxcQ8wQ4wlsk/jWEWCjAxZdGq9Wf0PfJ EuD+nTFeGzOIcwRwi71m3WZMLBFg5MqGkEXPaf95Aiz7Y8qMDCQuEEDr3bzP Cm10fiUCtBzXH2YcRiwV4OxXljj5A51/uQBO30+rWVsT1wiwyctjp4YDxauu Z79liw/4K1A8ZQLcnLP/964cineTANveMrskYykfmgXYmzFIce9Wypc2AQSD bNIOtVE+MYS4PcYlts6G8k1JiKXcqM2++ygfmUK8MxRHixsoX9WF2LLx47hQ VbqfsoRwLZzmUxpH70+6QmDkxZfad8mPDYQIXurwfnf/D+T/Qgywq/pWNP8t +b8QF9unXhpV8ZL8X4hatX45DmpUfzZCnJmg7lt6qZr8X4iZUyxKZ2VfI/8X Yltu2LZFsdZU/0Lct5vVUNx4jepfCJXjK/r+zKum+hfisnvRminPyb95QnSy ztm8MCM9EQoxJXeLoWvVG/J/Ifw/zinRcKX+IEcI4SGdMysb6fduSc95LHAL P7eO+ok8IZq+fXTKWU/6VtDz98WHW2xbqP8oEaJMLSCHmUj9u1SIcy9WpD1Q IL0sF+JJjsqM/BDq52uE6OA5H7j5SO7/QqxpVZ+xREfu/0JcOPDp65Yt1O83 CfHTccIwVwHpdbMQT7PHuBza10X+3xOfXRP2R8vvB4xUbD31osw5Va7/qdgT eCj2oRPdF5ipYBf9zdFnkl+o94yP4s22cCdmpWJ6dEnL6DPEuqn43s/SI+Ir sUEqrEubX61gkf8YpaI9oE94+EpipCL1xN/+nS7EZqnYvjBLJE0ltkmFnXbD 4XOZxPapqDqVkvJbPs5OheKLz+V7ucReqeg67Z1T6kjMScWgGq/dibOIualQ Nz5ZOZhBzEuF56lGt+zr9H2Fqah5ff/YMi5xVipCFxYVuU8gzknFyOKjN4PF dD6SVJz0+/hm5BU6v7xU+F2wrrOro/MtSIX4rO65D6/p/EtSYe7v/De+nuIj TcXoYsWFjaUUv/JUXBqsb/tpB8W3JhXFXu+63TdRf1uXiuPG83UWjqB8kKWi /xwNY/trlD9NqeiwsszPd6T7Y3MqrCYOmzDvK/lvWyoujL1U/zuE8pEhAjO0 8snr13QfVRIhK8BmiXcF+TFThNCXvsH//Uf5ri7CZ2b/zRcDqR5YIoxxOdla b/CW/F+ESFet2KCHr8j/RVgruCdUn1tP/i+Ch+OULRrZD8n/RZinnMC8e7+M /F8ETuZEwcHOC+T/IvweaWuw3G4n1b8IKiW390j6SKn+RdgcFzL1zNh7dP8X oWoP96HpIHov54gwN2GC8FXQc7r/i3BTI8J92Svyc54I0juDmne3kh4JRVD2 vt7Y2kX9eZYI+25/9Alspve+HBFKxJWBk+6Tv0tE6OL9fWO1i/qRvJ7zeODt tnM86WOBCOvGa0xKCyD9LBGhD3Mr+9JJ+n1PKsKJ21VVLs/k/i/CyCuy3Hvt 1P/UiDBA4/II64Fy/+9Zz1d7+woleq+UiaAYUW4xrpW4qWf9eRbeNg9J75tF SHv73HnzPuq32kTQsgleXLuO/IGRhtFV3Fq7NmKlNHh4lrSlpZKfMNNwY2PS Ab0B9J6gnob9Ov0H/OYQs9Lg+6zwfukdYt00YNBTBW8l8ieDNDxbojX2xRxi ozSs3BykrGZNjDSoetdqjFlPbJaGYOHhJsZyYps0jNLss/yjNrF9z+e/aB6g +JnWY6fhiOazxlQJsVcaUo43LryzlJiThupx5lUqD2k/3DR89Dwacc1K/v6b hkkT63+uvEj7F6ZhiGh1sLYqcVYaXkt0l1VvpPPLSYNb5Inwhiw6X0kaKp5V e70rpvPPS4ONptRBeJ/iVZCGU3Gmf0LqyF9L0iBsS3jq+IjiK03DyZNJff5K 5fFPQ6zNRWfNw5QfNWnILP6xmB9B+VOXBt5AzYLBSym/ZGkYVjb/X5oC3S+b 0hCuXTlfGkLvSc1p8O97UrHhAflxWxpefkicvFCb7qsMMbZu1h9y0ZX6ZSUx TmqVxRrufUPxFyNcb3e+6jbqn9XF+LHz+AGb1/UUfzESghMdfkygflpXDKu+ jYycm3SfNhAj+tLEoMB51yn+YpxmOTuZXzhK8Rdj1FDD1njrY1T/Yhz/YIan ptep/sVIN69Wtttb1cv2YuhvmdsQ+5He49hicOuyt5UGkb54icGaurzg5Rvy c44YeReLzU9rkp9zxXDrX6feVCL//U2MluoKzdBlH8j/xXhb1LWt6CrpXZYY g3Xjj2iPJz3MEaNz1cK1c0PoPV7Scz4NEwqXbiC/zxPD9ru7YZ0H6WuBGEtG B48q9CH9LRHjsZea4kJnuf+LkW17dGi9Oel1uRg6m/dNV5hAel4jRoHUKWLe d+I6Me58UuAonqT7gUwM4+KHVp0byA+axMi5tm12aQtxsxj+pdZOHbHkH21i 8I332Lq2ETPSEeZtpHzFmfxGKR1Od8a2Pbgo//cA6WgOOz83jkH+pJ4OTqc7 P3cOMSsdgYWRtkYbiXXTUZM/9epMX2KDdCxepxexT85G6Xh3JKBS6ECMdFwx PxiuZkRslg6/hp/CwL7ENj3rR9cvultK38c+HaL1HlWuPsTsdIxzrjAQ9SX2 SsfsEU3fsjNof5x0THu1rPqZEjE3HUWXUjKrQ+h8eOl4U31mr+w+nacwHYNn e+enjyXOSocaJzLUcTOdf046uu9XzarLpHhJ0tE6bInDnkKKZ146bjQmq+E+ xbsgHetubWgMeCG//6VDeUaw9iMZ5Ys0HSFLOxiLL5D/lqfjYMtWaGyn+2RN OkKreYpnXT5T/NMRN+vgYLE25acsHYnqrvVGD8mPm9J78vOpwDKc8rs5Hbot l6s8hlL+t6XjS1C/M5Ym5M+MDHgE3QrxsqJ/L6KUgQGTubuD1lI/zcyA7XMd 3euWNRT/DIyY3C/NRXCH4p+B0nmbWwNfllD8M6B6x/lZ1r2tFP8MDBxY6KFT cZrqPwOaVyv/vTxNeoAMPDqksv3u9krS/wx0X1C0+3yafj+zyYDDUZt1TxOo H7DPwGzh1l+D0ED6n4H/bihfNgkhP/fKgPPvn0kaF0m/OBkQzDxvN6GZ+nVu BqpO9Be3qVE/wsuAdU7x8QXTyN+FGeAwDphKpn8m/c+AX5berUZN0tOcDJi9 bzF4+Zv6HUkGdlZ9D5q5ifQ3r+f83Ar3XTCU+3/P/vKeaPzuIC7JQHxEg1JM sbz/79nvHrH/Mw/S+/IMzPgeHHhCifygJgOj/87clinvx+oy8HxqwNe5OuQf sgwc+z3F2m43cVMGDn/N9T3bh/ymOQPZ1VF/hjoSt2Xg5Fz16ytziRmZyJ4e dmOeTN7/ZeJt/77T7g4i/2JmomDbG6/vk4nVM/FoloVm3mxiViYs4zaodxoS 62bC9W4/q45x8n8vmAmjoZVF17vp840yIf3JmxdRTYxM1NT1iV2V2WryPxq5 uPM= "]]}, {{}, {}}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], Method->{ "OptimizePlotMarkers" -> True, "OptimizePlotMarkers" -> True, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ Identity[ Part[#, 1]], Identity[ Part[#, 2]]}& )}}, PlotRange->{{0, 1000.}, {-0.0012852907315000308`, 0.006401609755274014}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.8837234819851418`*^9, {3.8837243863887672`*^9, 3.883724400306735*^9}, 3.88381087004075*^9, {3.884770045203422*^9, 3.884770053092277*^9}, 3.884771730532537*^9, 3.884776223195973*^9, 3.8847815879605*^9, 3.8848451065848846`*^9}, CellLabel-> "Out[105]=",ExpressionUUID->"5829d168-784a-4a4c-9a6d-a4db4d3e5291"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{"Data", " ", "interpolation"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"factor8He1", "=", RowBox[{"Interpolation", "[", RowBox[{"data8He1", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor8He2", "=", RowBox[{"Interpolation", "[", RowBox[{"data8He2", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor8He3", "=", RowBox[{"Interpolation", "[", RowBox[{"data8He3", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor8He4", "=", RowBox[{"Interpolation", "[", RowBox[{"data8He4", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor8He5", "=", RowBox[{"Interpolation", "[", RowBox[{"data8He5", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor8He6", "=", RowBox[{"Interpolation", "[", RowBox[{"data8He6", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"factor8He10", "=", RowBox[{"Interpolation", "[", RowBox[{"data8He10", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"factor8He6", "[", "q", "]"}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "1", ",", "500"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}]}]], "Input", CellChangeTimes->{{3.883723386297536*^9, 3.883723396212397*^9}, { 3.883724406369341*^9, 3.88372442875569*^9}, {3.883816192397832*^9, 3.883816239365567*^9}, {3.884771748738398*^9, 3.884771806320818*^9}, { 3.884776232857641*^9, 3.8847762959635353`*^9}, {3.884781594633648*^9, 3.884781650080517*^9}, {3.884783690690524*^9, 3.8847837141024933`*^9}, { 3.88484511179346*^9, 3.884845117084985*^9}, {3.8848452001142073`*^9, 3.884845200391734*^9}}, CellLabel-> "In[135]:=",ExpressionUUID->"d9505bf0-29d1-406a-8f06-1985e55de13f"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{64.11881371394016, 0.00209813761797115}, { 67.58800283614919, 0.00010881287184887725`}, { 74.09095589271112, -0.002007952341721797}}], LineBox[{{127.41819436478873`, -0.002007952341721797}, { 136.62145931312745`, -0.00005679532627852413}, { 150.41687586786549`, 0.00209813761797115}}], LineBox[CompressedData[" 1:eJwBIQPe/CFib1JlAgAAADEAAAACAAAAGfdEFP+KZ0DIRXQOHTBhP5CCM8ip YGlAOJncwQyiQD9taNOXK5BrQF4Zvj1HdFO/8kn33zyabUA5q6MB+CBfvx+Q QOsj0G9A0bgW93yHWb/Pz6Hu2P1wQHlOpW41+UC/Y1Xlo+cAckClqoRbmNdA P0uNuzrhGXNAastE7jsuUz8Hw9ONIiB0QIEz1IyyzVI/F6t+wk48dUDRBXsh e4lCP9B3hmpOU3ZA8DfuQJlFKb9dQtDOlVd3QKqZ2PnlUEe/Pr+sFMhxeED4 rSfUMIdLv/I5yxZCeXlA4DvQfxBUQr9QmUaMj3t6QCxtM5EuJhW/AqtU48eT e0CpVVy6jDI6P4e6pPZHmXxAAlK6jccYRD9gfIfrsrR9QAqiLyKH5UA/4yLH U/HKfkBzH8Yk1GonPznHSHh3zn9AFX5yF1egJ7/xji4/9HOAQD8b0wqiXDy/ MLlZoFD3gEBpWr6NO1U9v8RVM7sWeIFAweAduna1Mb+CS9ZG0gOCQKg/4QRD JPs+KkCasDGGgkA9c5TuxU4xP/yNJ4uGE4NA4i/vJSjwNz+32tVDf5eDQJfC /FITnzI/x5kytuEYhEDysDo/96IXPwGyWJk5pYRAsjv0qX5VIr8lyZ9aNSiF QKfaQl9H6jG/czmwjCa2hUDg8iUTmrUxvxYcb3iBQYZArgWDktSaIb+i/U5C gMOGQP0uLBs4LQY/WDj4fHRQh0BFeJHhTHkpP/hxwpUM1IdAPsJdqHIWLz/t HTtoDlWIQC6CMDO54yY/DCN9qwXhiEBq4RgbsyUAPxUn4MygY4lAdr9MTFhV G79IhAxfMfGJQHza30P+HSm/z1Pnqit8ikAzEmEKxSsnv0Ai49TJ/YpAEFJO ESd1Fr/bSahvXYqLQELbD9zJrQc/YHCO6JQNjEDZJtXC4joiPw/wPdLBm4xA KGVf4SCMJT8T4pt1WCeNQNeHZg+10hs/AdMa95KpjUCg7/oUBwTgPhkdY+nC No5ABBBGaHOiGL8bZsy5lrqOQOrOT0JyZyK/7GUf9/8/j0CWX+HJrtEfv8cb aiA= "]]}, Annotation[#, "Charting`Private`Tag$1319664#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.002007952341721797, 0.00209813761797115}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{64.11881371394016, 0.00209813761797115}, { 67.58800283614919, 0.00010881287184887725`}, { 74.09095589271112, -0.002007952341721797}}], LineBox[{{127.41819436478873`, -0.002007952341721797}, { 136.62145931312745`, -0.00005679532627852413}, { 150.41687586786549`, 0.00209813761797115}}], LineBox[CompressedData[" 1:eJwBIQPe/CFib1JlAgAAADEAAAACAAAAGfdEFP+KZ0DIRXQOHTBhP5CCM8ip YGlAOJncwQyiQD9taNOXK5BrQF4Zvj1HdFO/8kn33zyabUA5q6MB+CBfvx+Q QOsj0G9A0bgW93yHWb/Pz6Hu2P1wQHlOpW41+UC/Y1Xlo+cAckClqoRbmNdA P0uNuzrhGXNAastE7jsuUz8Hw9ONIiB0QIEz1IyyzVI/F6t+wk48dUDRBXsh e4lCP9B3hmpOU3ZA8DfuQJlFKb9dQtDOlVd3QKqZ2PnlUEe/Pr+sFMhxeED4 rSfUMIdLv/I5yxZCeXlA4DvQfxBUQr9QmUaMj3t6QCxtM5EuJhW/AqtU48eT e0CpVVy6jDI6P4e6pPZHmXxAAlK6jccYRD9gfIfrsrR9QAqiLyKH5UA/4yLH U/HKfkBzH8Yk1GonPznHSHh3zn9AFX5yF1egJ7/xji4/9HOAQD8b0wqiXDy/ MLlZoFD3gEBpWr6NO1U9v8RVM7sWeIFAweAduna1Mb+CS9ZG0gOCQKg/4QRD JPs+KkCasDGGgkA9c5TuxU4xP/yNJ4uGE4NA4i/vJSjwNz+32tVDf5eDQJfC /FITnzI/x5kytuEYhEDysDo/96IXPwGyWJk5pYRAsjv0qX5VIr8lyZ9aNSiF QKfaQl9H6jG/czmwjCa2hUDg8iUTmrUxvxYcb3iBQYZArgWDktSaIb+i/U5C gMOGQP0uLBs4LQY/WDj4fHRQh0BFeJHhTHkpP/hxwpUM1IdAPsJdqHIWLz/t HTtoDlWIQC6CMDO54yY/DCN9qwXhiEBq4RgbsyUAPxUn4MygY4lAdr9MTFhV G79IhAxfMfGJQHza30P+HSm/z1Pnqit8ikAzEmEKxSsnv0Ai49TJ/YpAEFJO ESd1Fr/bSahvXYqLQELbD9zJrQc/YHCO6JQNjEDZJtXC4joiPw/wPdLBm4xA KGVf4SCMJT8T4pt1WCeNQNeHZg+10hs/AdMa95KpjUCg7/oUBwTgPhkdY+nC No5ABBBGaHOiGL8bZsy5lrqOQOrOT0JyZyK/7GUf9/8/j0CWX+HJrtEfv8cb aiA= "]]}, Annotation[#, "Charting`Private`Tag$1319664#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.002007952341721797, 0.00209813761797115}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNl3c4FwwQx+0Vyl7ZfvYmsn5nZpWdvWVERjaFsipUMsoelRbpTSjEhcoI ESJRyKhkVkYZb399n+ee++Oeu+f7uTtBz2Arb1ISEpKv5CQkxzkmWgv0yyHG i2LjDpRD9/eiXV/VcigdEf00KVUOvTeT+9h4y0HBdlONfl85aLZfbej+XQYs 8qTMDhNlsGrxR+5FaxlI1X8RprtVBoViPLy658vAuO7uiXDnMtDJ8rerVi6D ds5+t13aMmDUpv00/6wUrAQ9F4j2pTDVn/pMZK0EDmpc/d2cWgICvJUCCuwl wPFGIfxOWTH4sa8MGooWQ+tqS4P23SJweBso2CJcBJV09OFLhYXgsFsUSnqg EGSqdAXEzxUA38GFypwf+TDck+EQezwfRFt2/Rma8sCoPZomiTcPHs53ijPF 3QCx1yYxSx+ug0LLQwMr5evgtHHdLTwjF37ySVNdns4BTczuHVLJgRt/o1KT L2VDm3seYXgsCy7aRFXuSWZBWbIcvVbsNeBOjON43ZkJz87SegyyZ0LwzS1L 9a4rwFE1can+xGV4SOvHnEaSASvXlb2FitOgf0GtfEH9EjBeVHa3GLsAznXi lxvOpMLhhwyaV/hTAJ4+SVR6nQTOzOtW9CGJYJ9lZBvDex7MRt1yHxcnQLe/ dxs9bRw46ZRp1MfFQggFU6jjdhTEGVFSlaVEQMvHR5li3GGwVyVwOr0xBJid 7NWw7xT896t01lPXDyazoySOjnqBxi5L+x0KN8jeLKmdTrWFz7mEvOVbR2F9 SuJRy0k1aN+Tks6fZsN5/4fj3VU6OGjco/6T3gLdSRPNy0jsUEbeT8z+Pxek PLx9M4vBE4tJe3bZBbwxnC8z13m/H6YlTe6wfvRHIHjpkiUForuM9GIMeQiK hm6rn1A6jekGjx6pWIbimJak2LJzGJbGsRdm2YbjM+9ZKhliBEYHUhsPsETi sXNBpPkjkVgOkYG3L0VhQOgxHW7JaJxq344Xa4hG8adipnsqMTjpU4Fjt/6p /v7nm3sx2J13orbYNBbPrk3FsVyIxUkJae77NbE4Prx0rqYvFms8Gf0ufozF Ep4rdBc/xGJDrskSc1csnlu9d+/Kg1h85eZ080R8LM5pOI2RGsQiyZfD997v xmCe8lScbVUMOrpt3ts4FoPvdb+xKM1Eo7xRJ1VycDS+Oij+1XclCrUO7+64 +EZhU2qt7PxQJCr8Sm5LUYvE0iV1QnNuBNroRt5j+h6O99cvHaFRDUfxfUw+ onFhWEewKll9Horp/mlnl9dP45P3KiYVUqcx6Gro0A2nEGy23fO7zhiMEox8 SimugSh/tk6M5F4A1nSZttH8OIkZmj4RxVJ+mGiYYtzg64NNRWYJ1uUnUN+M 7JDbB0+caPVw/83ugY1NzsrjRa6YQNV+W4zRCYU0mSUykuyQ5IrV0PNdaxyW 0wzyOG+BfZwrMpLcJrj12YSm54geDvt+VLPhUMM8b0H1B9ViWHD4aDR37xqx Y/ss/eXPUhCw4WwacEodeAnUwstmerDnVnqvGYyBI1zUNYjKHGSN1iiiLKyA Na+45jbVcXg6/eS/97ft4EmIfbWSpCMMqV0uW8t1hgqp5FHHeVcg8e7dmbri DgaPtMlMizzgq7t00e1CT3CyaqN9kuEFvyQ783WDT8ARr3MFYnre0MJmZEik 8QGtpUM1/i0+wEbe+iDP2xfufPUpb9rxBXsIuNiX6ge8fW8eD5KcBIet5AdD ASehRFCPZbrjJFRRlkSysPlD3czfgxes/YEzV/2TR5I/wGGt1b7b/lCaE9ew 99QfHE6/yJJq9oeaTPrCq7X+YMFNcSaoxB9o/F9IHzjjD7ePWbS2mviDZfum yDCDP8zp2k+XvTwJHRcyZhKCT8LEw9jDA4wnIcXAoXfjph8YvSxUdpT2g4IQ Vw/PSl84lnnaN07AF+R1hNR5Mnwga/2Tf/WSN6zzDc9XGnnD3s/bjWkFJ0Di m2FH+4wX0BcYpA+IeQFltNWE3AlPeNwf+tCpwANK2J6/etft/q9PhRxiP9xA TF4xVU3NFUIYRMvG4pxBf7t1k7rJEfjvqkW3rNpD4fQ25x8hO/g1UPqk1vw4 DDtLPJuLtgbTtuTtlFJL4DaTpd93yRxUdxeNHgyYgnRXCV8btxF8GefaL+yj D32unzdy6rTBwSrkZRWbOrysoq1TfasIjPQ3NLRUxGBbja/yzBoTGH0QO0Fv TIHUejzKUnNCmDRh2WJMlMeOa6m8s/MqWCdQcUIyUAutxKtOPp/VwcmB60yi JAbI2X/WpJTCCGdIa60o1kwwmZtlWbvjGPILiNve07HApD9sGaVZliiTcniL 5b0Vyn/+/qBwnw1SP/P5MaR4HKNfy1r7mNoiC6Z07NrY4WPl3YvHze3R0kBB TlLdAfckzZ/qszkiB72AZMSkI0YLrqvmFDohX5d2cuIRZ5QdODwvPuWM8dVH jaIDXNBncCLl5KwLgnW7w46ZK9a+fKCuec8VY01Oq6usuuKVzKtTZJJuaO5V S91q5YZ7Zg/uXw9wQ83giuf/hbthlA7Hnm6QGy7Ni3ZcsHdDntEffajkhoqn ru0qkLhhh1aQslSLK65dsdq3G+iKPnb7SskOuOJgj7n59dsuOBesdJ5H2gVt e4huW3ec0UfOIq+QzRkjbnnzhkY7oXFSG9YXOGLmgZHvPnMOeG3tYcsbMQdU 7i+s93Kzx/jPpLL/XbbD1q5j3Iee2OKz+p6X0f3HsYb1dDL5nA0KGDyIcvtl jYIfThE5t60wLeVSbeOOJb7yCqka2rLAqPU/Nt+mzPH3u2Ed639zOHWLxoGy whTnqANv8541xsfcUmcajhliqcIsyW9uA7wSqnz3+4wuWjRWPK6p0sbfyl3R r+Y0MbfvXDp3+GFcWfWPSCRXxtq0dG5RWTlc6TPNr/EQxa+KIz89THlQbVjH xXSTHAuX2W56p20T3SRImI7TcsLT/itfne1FwGzCYmjoojRcLU29Z26sCNWD 2RZKaiogOW1SF8OsDgYNs7PXB7Vg/OPTGxeatcH7flV3U5Iu9EmcEWjS0IcS 1u9hUzMG0EYSmJMdbwgHiawhQGMMftEfDjufNwEFMaMU/2+m0DiQeOoXHAM5 qXvFl5PNYG6nKHSw3hzOzwgkqARYQFQAY3rKqgUM17ZKKQdZwqayWI7IlCWQ n8j5oGViBaGN7csB962AQ7f6ZumuFVyzPnqlz9garCYNWX+mWUOAf6U5fZs1 3EvNp+JbtobnUVwF8sw2YMRL9ctCygbo2GTCMtVtYP1i1TCFtg2wPisR7NSw gbQhoYxNGRswtxl0fcZuA71HGz/KrFvD45kh/qQea+iwUKWYy7cGPsUvOxdc rWE3yXO7mNsaruSpGbr3WcGRb7qOdLFWoILUrWO8VmDwQ3yVudES9v/9Lrxh ZgkubluyfeMWwHY03HnKywLaehqSNzvN4ZXsvOKHZjMQOndYjOLuMUhlf+Z1 MOUoNLHTKnfamwJDGIz+J2QCMgXucolfjOBFxBOP74WGsLNFmZ5/9AjMcDF6 66zrw8eYfWs5+XoQXN0nZqSqCxVaJoX7+7VBf77cQbuLCCn9Rv4uCxpgc3fB 5zO1GuxQ/t6UEVCBlX6/4epDSmDUcFDglbE8vPv64FZ5kyScZKLRc54TgdNy oe2D0nzg47a+OlnEDM3wYcf+4jax4M0v6WdbKy1WA1rK5nuM6B3vQF9dxI2+ tOYhTp1CWJPhdTddShx5P7NR34qQwdYECl1VKwXU3gpsnhtTQv9bLuofrFXw Ke2tFabnh/EEb5dnCbMGLiYd+O+6rRZSavdO8l4APNCRxv54QBtzVT+UmA3r IF/KTSW6Pl0ssH0TnNGkh2yLKetJxfpYXs99sSLMAJVetLBUaR1BV6Ho1/Z/ j2DXGyaOsCpDrDcTfNtpYYRR2UJMsl+NcCm92iku1BirVQYv3Vg2RoOgnH4v NxOcFytpeNtqgjuzCjxv2U3xnbojg7OrKb43DRmPzDNF6WMkW4RXppi9wj0b MWOKTE1C/DHrpmhLINAZ/TVFVsv+QZKfpsjyl92+Y8IUjUVzyV41meKf9s6H 4pdNUcVV8ZyolSlejQvt2KAzRYJMzMDYUxNML5toZ3YwwZvXwk/PLxljbpSm bEWMMaYoPy0v2jJCFtOuG0LBRtjNotp/dcwQqV6P9mhrGqJQdElJbs4RrEiI e7z6xQBPDbrfaJI0wDktlXfOJ/Vx2VKxWKdMDy9LeNeNvtXFANJGwexNHfR4 debPF24dfJgTLa+tqo32Hs/vahYRMe7Yu7ofqIlONSQDiWPqyFpdRfj54zA+ cbW2UdpUwdgjsXtqO8rofUHbcXdbEflsW59GbcrjK88lFfUpGexkLs7t6pHA M1xSLy7UEfBy4UKzU7Eg6npelrSk58EHT6s38r4wYwZtsOS5i5S4ShPrZ3d1 tqXlWN81HfhNLP4tyjkSSweV+f+FnGZhg50A7fyEvoMQnVvQfuuQEJydCiAz +kmA0dYrSoUlElBdrT/FoSIDi22VyULO8hDpsGPzkUkRqLf6hC80KcFCfntd nP0h6LNLZeD7qgKPP1fc6jt5GAydSwp2xtWg6jX5soCOBkxav7hVn6sJFcnO 3/XHtGBR0cjQkRHg5xTjh9ec2nBea9Eey7XB1yG58bugDhgYLoYK5utABnK7 aFPrgonTKIqf0oVtpVeWLzp0IfzJUY1VLj1QVi1nf+CpB1GkzYsT5Xrwpi1I JXlED9reR/XkkeuDDXv7Nx5RfQj82nSQGfQhfrNXM9lMH2rr2F0SbP75OtSq mdVSH35V7W9w0NeHF/eV6nxl9SFEe3yf8359KNKsXLeb14P37hejztXrQXjR POye1YPf18qv76jrgQFtoGb1ii5cOkFjrleiCxGlQlI/9XQho4vl2MaUDuRa RMhnROtAWecD2VVqHehVPOXsl6kNLIxePirM2hAQP/JBnwegUJ67ZYGSCP5r wfc3ZzSBwrGtn6pBA65l7xeoS1QHsZnwhQpdNdDqdyqN31KF6LGl4Pm7KkDe /4c63ewQ1Kd7qLIvKcH2X91y1QuKYEdL6l/KrQD251K6dyzlIKjy0MUDPtLQ m/g9dTxUAnITP9V1xIjCc/2YUdWzwlBsEDN37YwADLWf+xi6xg1DxXQ/+BdZ 4d3byoKBQQaodfjVRDtCCs/ekDPxV8wT454sU+e/mG/Rke+movqPFN8f2RZW smTAG03SpRa+rHj52vy+R0zcyPJrqdO4gh+tqSd9p68KYeBqGK0/EHD8TbUi 36QYrogbSX8PkcSQplMX21akUfUyxcUKVzlM7Tnd3Dsujw+MPS87kShiA0/0 ShqXEp75qy61IqaMT9uC5AhSh3DjTnFLl9C/raDTfSmJURVz6XTMdhdVcd0k cXnhxWHUaSNeobighqWPPIuotNXRkiC9VL+gjtELJp2TlzTQ+jztwnFuTdTj OlewVKSJ/bWDty4xaSFTb7IbfbQW2iu9+8+zXwuT2VXIEriJSGFBAY62ROQ1 V+z+mUTEZFGrUMtbRPTwfeOZUEvEoWwX5synRJxg2JItqiJiR8R2als2ET2j ZpfFAonISp4iuXGYiKvfOl66b2hh+gvCVsE9LbR415k+dVQLhd8kVkTMaGJo +s2q4mBNDPd+wVOxpIGijddtxz00kLl852xelzo6fxfQVBJVR9cTNCV00WpY M5k2cg4Po9/aS9btbVU8OSGtPyevildyXSarnFTQnvHJsxdxh7A++N2z3BvK yLtP7dHN+0ooLL7I7FGriBbLAZ1Hnyng2sfl2S918vgwwHbpqJMcHtAUOS+t LYNVwaUUgTxSOD9CHsmxJI4/LaqHVBpE8UWT1d2ROBF8keF5nlpLCMfknzDd X+bHAyePbuW78qCyflvUTic7Pt1kKlqUZ8Yvbv2PyRX24Y2gSuUicjJU5ZuI vdC02uIum/W26nAJkc/5ptz65TUiQb6i6LMWGdwbpO5V5t0HF/Qt/2auMEHx DYPaFV122FFwJJlK4gbdxlbbnMd88KypOVrEWxCqPz95IeIjDMODPYvrjgSg aHv3tldXDIi37AK+HJQA0poEg5ivknDC8Ffl6G1pIJWc27SylIVBVZpBnUU5 2CurryV/Lg8eqwXHL0QrwNuU+OZZKUVwIfsTNDGsCLdNLLIVIpXAiSqf4QG9 MsyuPk5nyVcGLsefOcBzCH7wV1ynyD4EWRWKS1okKsBKxrv6xlMFYkcq17Ib VeCGqKvhOWpVuBbCe+ScsSrEn1YxvHhOFSYe85Rfq1KF7YMbNwt6VeHLswOX 73xRha5EpgvNS6qQ4iCZ8+Ofkj4XSzGYUQWS3TNfP/WpQqSvyeZgtSqMJMan 6ierQk/F3zkbc1V4cm51ROaAKvhqefltv1aBEd/l8dUwFdC/OJ+lx6ECpX9e T0k+PgTFUlx/Z3QOgfzW586aLmVIT0jvHjVShjSB3JUSVAKq/f2RFrJKEM6Z 2KyRqwgzg3aCNb8UgLHJ8B31MQWgp4++n10iD3eJUdsug3Lw+Ej4L38XWXAc /u8D7bg0CNgvaPwxlwLaGIL2XoME/Bhe0fvMLQ7W0TMJXmGicL/M+77dSxGI SFzKvsQoDIbndwY6rQThWEt1ZY8wP3RoXRbxy+eBZGkKVVoaThh52pl5/DQr 8N9Rv7f2/gC4n+cmo4ugAzMphllXDXI4XnCtxZhmk9hGdyfd0eQL8dAic+ur /9617MXfloifXWu5a5dVqXmOBNOR2zXuDDUmnSeniPVgxHntjpGiG8x4R4k5 4tsKGwYeIA9X0eDCj7ecHQQiDiKn/ITIsWJ+vKKrE6TiIIgjAzq0xR+E0CZn TlHLXARlDvvFJzQQ0IFTM+4dhxg202esPzgpjs1/bvAkV0tgyselZ59nJfFA QNCJI/ulsUT9z11DSRn09R4Xj1WRRYq69jdnlOTws+GD79EH5HHmbXmSfoI8 9tltjf+Zlcf9X/W3YvQV8KLqy8ZbBQro3z373eWrApIwUGhnyShiUa6zh6y/ IvYn6X4TLlFE3qeXvf26FDHF3tj294IiemzcluykVMIiZWnNaXYlbKo17jTi V8Ij3dxfKf6p805+qvC/+FtDseN1FEr4+1JES993RdznPTtyoVMRLxy1tdwu VsR7EOVlGqCIwSrlz2/IK2LttMEp6iUFjPu909N+SwGP39IN3LJUwDcVn9ZH /t0tHyOE2bLy5NHi17KDi4I8gpG03kyqHLYzOC+wl8jiNF/nRO89Gaz8eUvq 0l1plHWfTuktkEJRj1N/hZMkMedEVx2XhwRa0TnUwiFxbHxNTJUkEUM3VQHy 0DYC8pmNkD0+K4IUjWqsKXLCqCfDoXTloyCyG2bGBZ0XwHN7bwey9fgwY3t6 IT2WBxPCo7uZ73Mia6j2+6h+NjzLl9exb40Z5/V+MArsP4A/Uo3P0FvR4anb dZ/5EimQPOXUuKznTsubX/1cou2rLZqr1KRWj0dbSh086hPCh4kVXgGBfEMr xIzG89XFStvE/7YubVs1kcPdKdcKiaO0oKFe9GShixHycgQ2+LiYocPcb9ev lRW4YnsfPnHmgLdUhiJz37ggQZLDZtn3IIQbyJ1+PcwH96XuPTyULwD7iz6f D2sRhFN/FOcJY0Jw6DffxtiCMLyBkE+EnyIwevwqVekyATYWtTVnJkXhVGbv YN5rMbhEmdztXSYOvUnps1uBEmD26m8vrZwknA9RlLT4Igk/ol1rL6dJwf1T GmaXRKSBbGKD6cBjabB10XP/LScDXEPnF5jLZUCGX/iFEYUsKFjwm8Q5yMJ5 iny74jJZcCi+x1n0QRbe2docDKOQg/WwRhMhQTmIXwwbfyQnB+Pqqubi8nJw geSlXYmQHMhfEhyQpJYDFm6N+z8mZEFad66b5q4sXHRxp3zgKQsdGZarJEyy IO99YlCvRga4CxPPVh+RAbbRDrHEvn+cHte0pTSRBsnZwHtJDVLwTWWl7hiv FHB7LEw/i5CEqUdNSvztEmDxpZ3vM6UEZO4mOzsRxaGyhKX+zykxMJ0leyeW JQoJVyf2LKoJUGh+hOxrqwhc2R4d8egVBuUrc4kqA0LgCKL9k72CQJ8QefBT uwDQH7mm5OzLD8IUFaIVGrxAd0fXs4SSB56mWUVaveaE5DdjT/vi2cG4u/6V kDwr2D1apHf/yAQPXzXnK5LvB7Nn6yovDelgMSt5sCiVEizCgphmWkmg8j7v 83MbG8RL1wq27T78ILZP0zMplAwSLce9MzPN3rUMHlEtO0n6o4XMZJj6vNNG CyGSrmPTnAQX3jLI781QYGaWuMqoPy127ysrvfaZAV/6pd0vF2BCJedyJhpD Frye/Ych6zgr1g9yUweeYkfKZaYXRZGc+CTho45RGDcy/7B+WOxxEBNVla++ 0+bDTBUZTmYaAXxHI7AaMC+AsV9e3OJtEcT1Mtmj79KF/vkp9bSahTCmvvop TL1PBLeNCzl/NYlg9A3L9mbPf9wb4w4S3SOgd5if2e9MURxW25+3/o+Dw60r l/9mi6GsqnXmGIU43jw1Ix7sL44WHd6sBS/Fcbt+z1iHRQKPxmqSWNhKYNji g0f1lyVQSkGKJaBBAgXW5wl+HyTQFEj4qxcl8K7vnL/uugQqH469KfdTAiX7 ZxJSZiTwKhtxwL5bAiVsKE6235ZAzoJg+pkwCZQ9Uun2SVUC7Q6S9o+tiOMN erKzVKXiGFHZwJWt+68O8T9j9R//8cTyrXmVvxgK/hQzrFkWRbv8Vw/3BYji A/ekgL1xArYoU8KoAQELgqZuzFSIYKCrXXDkjjCe+VDB/+WoMFKeYFNPyhHC UYZup5ohQbRLPk36lkEQTxlOO6hrC+BUVqLcf6N8aC57IfkggRenP+rRpfnw IHP/vb2eYi4UVnYQb37DgVIWXX6HVtnQaTfMg2U/KxJmbWhVRZmRkX3YMFH1 AHacfnTw8QV6TLgv/kUzjwZd/EZTQm9SoLVevzXvPRLsGZXZPGC71ZIUfDt5 22G1xd780OBBnG7J3LJJla6ob6kmJrO104wR0w6IBey8/EFca/ywX1hpneg7 vP6tdmWH2EX2bGnhDRkQl9YbS7Ko4NfXz6aDJnQwfWs9aG2NAYZ2+//WvzwA HPsia9xTmeH6Fo9OgxYr5H47Tkr7nQ2aqC7tK0njgNnIP/E9fFzAFPnp9VIF N9xuOTbuzX8QknupU/LTeGFS5vuVzTk+SFUhT97mEoC/JOVqGc8EYDKpfnvR TBC2Rd1Mv44LQkCs1U0DTyForFu5OvRJCPKfnHrlayUMyQyMou+fCwPrSOrQ H14RiHdwINZFiAAZrSnhW7sIsA1M34mnIUDvo1UdTz0CfIokjCWHE4Da907D x0ICvFJszXRvIMDuu9Iwpl4CrAewvl95T4CbjrEplCMEMLGoKXP8Fxc9BFf2 /uUx2KatUBcTYFLMNi89kgBXa3wj7hwhQNrp4JRoBgL0HdJoJbwRAU0TDZr3 CSLA9Mabrk5KBLJ7k+TX+oThbv6vxBcnhWHy/c8rtttC4EwIMVlKFQI/+XPr L2mFgL4/mYQnRRCs7KinlbYE4Mwdr73jPgLwVrCILjefHzLE0tMaHfig8SyV UAMDL2SJrEgo1vPA8clhrzfW3KC2nlkpO88JPhpBd2lPc4ACkTyKYY0NFPqG 3Zf8WaEw6W+81zgz1EmN+IsaMkF2kHL/rN3+f/+mOx8DBz348MUsaffSQF7d dSQ9SwnzPV21AyJk0NWS1O+btUO82pwTZze8TvyEPVHRbCtEzw8OTsWV08Tl FwoMw90viVqPRvJLw/pbqsOWnalyZlsICU97aAJWW/aeWi8x72y00OprXTeI 2235amuw4BtOhq0hHecjSyhx3pdrJbSJBs8lpU3RdO/DZaa/HxY6GfGqOEwG fDyA6s9HaoyMmfFuTWti2EMWnLVQ8LSnZsOTS1XZfrbs+Ck3r527gAMJ8Xyw MMCJUzRu4s47XKioNXT3Nw/PPz++5z4icxC/ksvCtDwvNlg/cPIW5cPupnLv 0wz8WLTuKPxolh+P7VYQfO0EcNGRpV+3VgCbeYeTjWkFcbaQc9jFVhAJdWc2 vQsFkffbxSHTUUGMUE8n26EXwkXOhkF/NSGMMai3TnMRQj/3QGObGCFUvKSr 8ipDCHMUyq0nbgghx/b8lbICIfw3tCT2XCH8wVQabnJBCM2mDHVNTwuhvde6 u5S1EOr/zu0hkRHCMqL635ldQQwhF+v71SmIQQbe5y3SBTH4zFI+zxFB3NaI end2SwA9Tb5QlVQI4Fh8IF+VyT9uc/F+ezjAj/8DpYO+KA== "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.8837234962591963`*^9, {3.883724390909018*^9, 3.8837244220350122`*^9}, 3.883810880164082*^9, 3.883812928206394*^9, 3.883816240328163*^9, 3.88477005606642*^9, 3.8847718077663813`*^9, {3.884776288180044*^9, 3.884776296428225*^9}, 3.884781651288433*^9, 3.884783715413142*^9, 3.884783866733839*^9, 3.8848451181350594`*^9, 3.884845201870772*^9}, CellLabel-> "Out[135]=",ExpressionUUID->"a55a4e1c-d928-4ab3-b8a1-ad4588b2ea17"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{141.24418067346144`, -0.0013650232969090797`}, { 152.859730116188, 0.0008887595388339414}, { 160.255286837242, 0.0016671451129141905`}}], LineBox[CompressedData[" 1:eJwBEQPu/CFib1JlAgAAADAAAAACAAAAwq52Q+FsaUCRszVvg1BbP21o05cr kGtAkKrTi1abJj/ySfffPJptQIsda757eU2/H5BA6yPQb0CTUBJ4PVJVv8/P oe7Y/XBA4DfVDr1EUL9jVeWj5wByQDYw9hvOEzm/S427OuEZc0D8mUGKR00w PwfD040iIHRA0hBAIsW0Qj8Xq37CTjx1QISSGRWsckI/0HeGak5TdkDWrdCy WNkzP11C0M6VV3dAQP+6TE3Poz4+v6wUyHF4QCTJ/4aQtS6/8jnLFkJ5eUBS h4TBoHozv1CZRoyPe3pAiAgGCaOJLb8Cq1Tjx5N7QJJT21nDiBK/h7qk9keZ fEBLADZ11k0RP2B8h+uytH1AUJHMqW/lIj/jIsdT8cp+QCGBKGB1uiE/OcdI eHfOf0D3yhRTg0YTP/GOLj/0c4BA4CRUMrx94L4wuVmgUPeAQLatxgQcKxC/ xFUzuxZ4gUBHsRu0Pz0Uv4JL1kbSA4JAWmmA07piDb8qQJqwMYaCQDyrMd5d uvK+/I0ni4YTg0B0giRrsKX1Prfa1UN/l4NA77cGLd2DBD/HmTK24RiEQBgI A/LJjwM/AbJYmTmlhEBM3qPX42X0PiXJn1o1KIVAdx0qpfdRt75zObCMJraF QJs1qXWNYvK+FhxveIFBhkAyfxrB+HX2vqL9TkKAw4ZAcHXprqUV8L5YOPh8 dFCHQG6DdhclSM6++HHClQzUh0DLyYNCZW/aPu0dO2gOVYhA4kUTdEmi5z4M I32rBeGIQLaPPDr2wuU+FSfgzKBjiUDjB2kYuazWPkiEDF8x8YlA9dVZN3CX sb7PU+eqK3yKQFx+XiaMf9a+QCLj1Mn9ikB53yvjZkPavttJqG9diotARW/j qPe20b5gcI7olA2MQMmSCPWiWbC+D/A90sGbjEBvbphEnbfBPhPim3VYJ41A 5WVyktPjzD4B0xr3kqmNQHftD8S/9cg+GR1j6cI2jkBffYGCBT+1PhtmzLmW uo5AIlYSpz7voL7sZR/3/z+PQKxyPNW1Cby+kKJ1vg== "]], LineBox[{{71.2158977308091, 0.0016671451129141905`}, { 77.70811409777427, -0.0013650232969090797`}}]}, Annotation[#, "Charting`Private`Tag$1319725#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.0013650232969090797`, 0.0016671451129141905`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{141.24418067346144`, -0.0013650232969090797`}, { 152.859730116188, 0.0008887595388339414}, { 160.255286837242, 0.0016671451129141905`}}], LineBox[CompressedData[" 1:eJwBEQPu/CFib1JlAgAAADAAAAACAAAAwq52Q+FsaUCRszVvg1BbP21o05cr kGtAkKrTi1abJj/ySfffPJptQIsda757eU2/H5BA6yPQb0CTUBJ4PVJVv8/P oe7Y/XBA4DfVDr1EUL9jVeWj5wByQDYw9hvOEzm/S427OuEZc0D8mUGKR00w PwfD040iIHRA0hBAIsW0Qj8Xq37CTjx1QISSGRWsckI/0HeGak5TdkDWrdCy WNkzP11C0M6VV3dAQP+6TE3Poz4+v6wUyHF4QCTJ/4aQtS6/8jnLFkJ5eUBS h4TBoHozv1CZRoyPe3pAiAgGCaOJLb8Cq1Tjx5N7QJJT21nDiBK/h7qk9keZ fEBLADZ11k0RP2B8h+uytH1AUJHMqW/lIj/jIsdT8cp+QCGBKGB1uiE/OcdI eHfOf0D3yhRTg0YTP/GOLj/0c4BA4CRUMrx94L4wuVmgUPeAQLatxgQcKxC/ xFUzuxZ4gUBHsRu0Pz0Uv4JL1kbSA4JAWmmA07piDb8qQJqwMYaCQDyrMd5d uvK+/I0ni4YTg0B0giRrsKX1Prfa1UN/l4NA77cGLd2DBD/HmTK24RiEQBgI A/LJjwM/AbJYmTmlhEBM3qPX42X0PiXJn1o1KIVAdx0qpfdRt75zObCMJraF QJs1qXWNYvK+FhxveIFBhkAyfxrB+HX2vqL9TkKAw4ZAcHXprqUV8L5YOPh8 dFCHQG6DdhclSM6++HHClQzUh0DLyYNCZW/aPu0dO2gOVYhA4kUTdEmi5z4M I32rBeGIQLaPPDr2wuU+FSfgzKBjiUDjB2kYuazWPkiEDF8x8YlA9dVZN3CX sb7PU+eqK3yKQFx+XiaMf9a+QCLj1Mn9ikB53yvjZkPavttJqG9diotARW/j qPe20b5gcI7olA2MQMmSCPWiWbC+D/A90sGbjEBvbphEnbfBPhPim3VYJ41A 5WVyktPjzD4B0xr3kqmNQHftD8S/9cg+GR1j6cI2jkBffYGCBT+1PhtmzLmW uo5AIlYSpz7voL7sZR/3/z+PQKxyPNW1Cby+kKJ1vg== "]], LineBox[{{71.2158977308091, 0.0016671451129141905`}, { 77.70811409777427, -0.0013650232969090797`}}]}, Annotation[#, "Charting`Private`Tag$1319725#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.0013650232969090797`, 0.0016671451129141905`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNlnc0EGwUxm3JXp9V2SGSmZX3tRpI2SszWxLZMgohSYREItmSaMh8XyMz KXvvmb0T4uuv3zn3Puc5zz/3OZf75h1dO0ICAoJ5YgICqYzPcgFWOZBRZOxy m2kObDq4PaCnkwOVfqnz/aeWAxW96LNZJHOgRhPNSYtTOfCFWPLTNdIceNg0 Dfp+ZUO1JeU8jtZsmNTVHtyckw3Z0169/RWcDeeKdUC0QTZMcZZxRwLZMOrJ wKunO1nwFzGrDF1dFlyfra/VicqCGdtf2+yvZ8HB2bb5m/RZ8AF8lW76MxO+ j5l2tonOhIMCZQXxFzOhXfb7l0QHb2BPYe7V5vdv4NAL8YS/Vm9gSvdn0ira N1BX7NrsyaoM+EDwJjewz4CpHoSKsjQZ8Byguyb46TU0D1FeOmP8Gjq87dKs 2EqHN8at5sqk02EnUjd+4pEGL5YFr3gUvYIFt96G5s+mQvlwwpu3TqTCMR8m 4d/XX8J7+e9R1IMUqFPXzG1bkgwXzOPtasdeQH3b+phxqheQ+C9F4JFsEgzo 7e+8Yfscbp/3GZF4mggDDj0Ca8sTYKZ7MK3adDwUuvrFYIcmHpJ03rFmlH8G D7jvB/bYxcG5HV4272exsL5tzP7G/aew5kJXjMPoE8hzMs49EEZDUof2EPKs KOir0Y9uUz2CGadsIpn9IqCVz2SE9cJDSPnJK7rEKgyumnq43hwOgV9iUze/ mz+AqyuEzomtwTDNU4raeDYAulJq1obS+kNXm/uJJZd84A5fUpxHtCeUfS4T rz/hDlk6v5kXP3aF7b1CQtueTpC5rmDVKtgWlp0PXnlpZAm7vAbDaXYM4IWt niXuL+rwgnl58Qq/GPSttAwe2xfHzd9Nblv4qeMsdzxaVKSPHbNbNNj1zbA+ U8UIW681ZnlwSCF6ww7zTTPqUJQ7YsbGKRf/1Vt4+iIbkeWhK45c/VvWseGG U25f1cvQvYtdij4vvUnzwF2epmcmez2xC9NIkvu+F3ZPpQp1pvLBd5Vle5Yo fPFfocsLp7Z88bpFid3Zb3648IwPqeZTfxybL+VRrHQPn/90hzF17B42fQW6 dFwC8JCj/Rb7XAD+s0jbf1E7EH+NE2/mzwvEF+PaMcNqIA4zE5Jw4g/CBY3H Oh5pBuHYN6K6A9ZBuCvglFSNYxD+26EbUmAVhNV/Hr4g1/g31/efV/+nZ3fy Kpvd+OdDSbdo8DEQK0ZsYHqHQHzEHJL0nCYQP+fTLL1ZEICVaBuP7cgHYAkW 77mOmnv4q3PakO+Fe/iVzmNb1yJ/LLfzrPo8iz+W2R3IMvTxw68yyXn1fvhi 3SsTeiWcvliqeOfcjqMPHl1wNsp5642p+hZHLs57YeWaBRZjTi+MyE87Wep4 Yne9eKaRIA/M9rmMWifvLs7XC/km1+6OKUpen2Bad8NJtAF/TendMKV59BiN pSueHXHK5Xrhgt8KDj/sbnfGZnlGgzQkTpi9UXm5SNYBG3uqFsfctsMm9edC QjJt8B8QvmM8ZI2jiJJeDzJbYRbt5K/xuWZ44teFwAZhE/yqytDyc7kBZnqz R1Crq4sZ/9Tnu61pYZOXf/srDC9juvXIkOZBJZwxbc3U+lcKK/a1tu8zcePP NMeJwwmp4Ttz8cyPB6JQXPRATptKAeYNyVHr8KrCgDVHN6rEKzCmayRzeEAL Mrnp/BDz1YG2NDIuhYt68CKb2rP2S4ZwUzhAifGRMeSU4F8m+WAKm6p4b16o NYNkBofxVqUW8Ap3n1z8FSsYqtBjnidoDZsfdg8Z7VtD7+8KYbE1N6EBg2/J ZV8bmD/jx+/HYwstiSVmTmNbmK4gwmByzQ52F9vUnfxpB2fSb/VGqtnDjePH 2j++tYf/leq8rCZ1gD6r9z1bdR3gnWT/LOJ4Bzg6Km+a1OgAg8dkfcqWHWBk wKhZ2jFHaHHhXHkYiyPkICzXfcvuCAXIf3UZMDhCJ52xxG+HDlC4v9fZaNwB enzWdrz8xQF+9V0oXgp1gLlfhMDLSw5wgFGvIP/IHt5Old5ze28P1ybFHK4a 2kPc6COUvGUHRw/zVEqj7KA06rpCwmYHY5n3xGfSbeHTAUGuKk5b6GMkLbr8 wgaSPJRSHKG0gfc8q+vWfW/CjD9kL2LHraHk280WTlVrqEXM6kyaYQUT4l7U Xtu2hAnqRfd7X1vA1cIACZeL5lD9b3x6/9QN6JUcPTMZYAp93nIIaNObQB2v n2AqwwjWfI30NDtnCFU+FEv7VejD6pUbPzdV9eBEzSXx0DYdeHK2NWtQX/tf H+VJ61VqQXK1sqHzPzTgVOuiSdHsZbiXNNVxSHQRChhJU9jyq0DIp8HFlQYg pRUcMSCSg3aya0VZfpJQfTwxwo5KBJLL7vFx63NDSv6PovVylDCU/dF7LvID RJMdNBYhwoF3x2KLVF0FsGmxQ0ZXiBi+G1BCXiIijde9E15rfpTDstSF5FrM AL8N1vKrFFTG2b3Wr3QkVXFtAeXKhNBFHGaR6rlOeRkzyCbL0w9cwVMZD+RG YzXwQH7mRULJq3iahndLFGvhyxHGAQLS1/E8tbHGDQ1tPKCelD2woo0LvKeW jiJ0cPmCfuVXZl0sv25Gx/dCF/PSCEpx0uphhxCQUuWvh3c8/OrIh/RwubkN K72YPu5/xd6x7KePDfi+N30p08fW1tPGT5b0cVXurkIcswE2U8k0W5A0wLYp u6X1lw1wfm41x1UdA5yWQM1Tqm2AgwqvLshcMsB//SV+H5cwwJzh5YQuTAa4 yCCmLWVZH3MdMf4eqNbHn/iYfro+1McxpGKCGWr6WHRWgK9yXw/vlVHTUrzV w0mRPiIDuno4rbwh6t6mLlZujO1RfqKLZ1/pCAZz6eIEPaOJiHc6eF/lhFeJ lA5uV6dS0S3Vxs8EvtvWSmjjk0SS7O/0r2PzyYCcLvlreHch8UQuqxZu6zgy 6F/RxCxyJ8lZkQam/mvv9l+EOp4X8aAP1biCczdnzKkoLuNcCxtPy/qLmDUt qU/AXw3/OXQSohVVxVfkYmarxpQxt5OMaO9TJez05MzqXiDA+ffjUNaQAg67 Itg/KSeHY5T6i+eSz+NrP85Xjx5I4t0ZEtolG3FMvLu8avT6LNa3yLGxeyiI IwUnWFj9ePHR7n3fpb0TWL2ThWRekBHzdHBZth0R4SnCIMJDHhc0bnBY8SSO CHoKpyUWWjPA+iXt02RqHLBzkXfJeYcbJtPLfcwUOQ2NxKdkjFXPwERCGucr cqKwb5MZZ5GJw4FrT4h5xyRgne0RUXq2FFSX8biXaXIeWr0f7W/Yk4Fu4QWq OZFyUMOdNmKVSAHu3KcgNXK6ANN8JN+kVipChRsm76L+AEhn5j7hT68EI9g4 DEdfKkHOuNST0xzKUNiTPO5hnDL0Mk+bqjlQhg8LhSmTzVVgW1BxDvOnf/ek GjylQqAK+St7rMRVVGHoneMMO36qsHLTmrMgVxUy3nrd4PxNFQrv3pIymVGF 1gMJt1K2VWE0mTGL0YEqrBUvuVX5RxV+puo43FlWhWmFbW8uDKjCpt4UUFep ClNnPHJqElXhQneeh4eDKpwdJB1mFVeFwbg7cn1DBaosPbut9E4Fdi26pmlY qcBrLa9PG1GpQFPX4tGiEmVo1Fqlkqr9L79o75Vbv5Tg9YVAGacAJRjWZBYw TaEEncRDyUz4IHSSWGfnFQbwVwkjfYugIky5Kt69fPICdLvkTy5NqQAdxx4i lXU5+PbmMbHKn7LQ45nkLZUCGVjZ8JwmIOg8nCpLIqC8Jg35Vl4KxbFJwYsq f869n5CA/YL10iS54jC/KfLFWWcxWDh81v6JkShcvpqu0tEvDNkrr1PpmwjB 4bpPuYqDp2H1jSqRYjM+eCXE5H7TBDcM/vF0RrznFGxjOd9gt8YGe3wNWmRZ mOGlsf6JfE06aLTEpqPNSQ7ziIGCesI+uP6A5l3x7UkQx/4q+kH2BCK5nmPe /2AP/VBJXiObJ8Xv6Gsrsm/Q4N61tp/uVxkxK62O0INrLPhXc5jmZwkOnP6D 27r39ymcTXxe1eoaNw6ECzvidLx492AvYLKGD+MhMoFDy9OYyvqxM8eyAObM CPw+6CCEVSM6hOd+nMGEgbflt/lEcNgjvqZ6+7OY+pTSM45EUdxhNSHz4/05 fPfzhyjzG2K4PcMrcbJbDCs0PAlwVRPHBvb57/7mi2NFJcFzcaQS+Gd94yNR Iwls9ruoeCxNAkeKEc5/GJbAjfJz+RV0kvhui1oUtYIkvmDMytZ4QxKT9KXX E3lI4oxC/U8z9yXx8cbOkoSHktj+PjqQfSCJGw2qRY7+7fMVEqlYLCRxU3a4 10coiT3Zt4WOs0liDem77/UWJLDfMBD89lECE+kYihR5SeD2hP/eXBCTwMY+ yc/LpsRxsGUHs32sOBbKDyB6fF4cy4oQrbj2iuECcfU1UzcxHNOcFpxMIoap znnGLZ0+h6dqJqgD5EXxdQ7T8gC1s/iPtYPx44sieL4nZeIiEMYE24tsmufO 4OU2+mx5NiFMv2l/7tOBAA7r5Q4xGjyNmc1SeL9+4Md+FQl0yeF8uEyO0cfT kBf3Rzbe3eThwUlA8lvJEheeG1Z1iHfkxGMUw2y5Wydww59o3W9B7JjPa5pX 8Bgr/mSmkzYex4xvXz1hy3CSEcvN1Sv3FNBhssB3iV6+VNjf5+vOyyxyTMDO UsU/TIS1ghKGWFUOkAiRapvnwgaa5NleFHSeQpHP3iU/LslC14gp1awfjANP 6nIN3b01cLMnZlA47A+wLTlwSVkmgOqk7XNqhyRwqe/i3dKNY3CsfEIus4UK vjrytf6lRAcXThrT0FEzwJgTHaTVzYww10M80d2DGaYa+RCUU7FAP2qNR4IJ rNCzwtDdkoId3izi3yVz4YBhPYH6nZUnoM3T2/lBuyfhyxL6353cnNDXO4X4 JwcXTElaPzOeygUTNsj2KZm4oeadP/IaD7jhGNIzfD7NDX8UehuuKfJA2uMZ X82e8MDfSTWJ0508cO/8JYZEGl7oOOJdFazEC8XeaUpXOPLCu+2bnBYRvPD0 0XGSR6m8MIrohahZHi/MEGZJOijghc0dB/nPsnjhRjGXmkYiL6zKvhWgG8gL KwQfh42Y8cK+W/JhXFK80FJ8xEOPmBee4b+/U9zKA+lcdCW9o3hgGFFh0aQK DzS98YlHdosbUkVUGVWkcUPvDcuDIhVuaJMQFGg+zgUV2XhHaXy5IKWRw1Pq 41wwa7cjVuMsJ0w6X1N18cIp6JveIZenfBLqfOFWpAUnoJu5hyabBAf0fl+9 aHeKHT7+9do0kZgNEthNgCuTLFB2jtSSs/I/qO0ubVwZwwzrc+8YVpkzQbUp ufZaQcZ/f+eAjPMaPSRvlW7T/UwHXZbGw0XXaKC8dNGZzLtUUP23k4/kJgUk VlFaPu5BDp1mMvi1N0kgzdYZWz4vIvjoJzK6tHkESFo/ldQT74NGGqbA0ZM7 4OeLU4k5quuAh86sRH5lHtzuWqbtnh8FDdkUfve9m0GTdefudnwZstCRJh0X 60dPsx2HutamkWNNLo/ri2UUfrkrkZFsE7E+2bsSzvcbdYYkrwme3kcxAWsv 8iiOUHoF89KkPSEWY9sKLZAlxs5LLvLpf0jwBJe2Cswnw65NO/MMl4/hdd7o 9MJOChy89+ooT5MS7x2RfSsqocLum5fnXEloMMFbO/0sVVpssl9CGyVDh09a KuRdqqfDh7whzltq9PiGf+uHsCp6vEs+93FZiAGTXte0P/OEAWtzqHrJzzLg oieWZ3ikGbHPxxT1BT9GrGnsKPH6EyNWaopwMZhhxKasd75xUjHh/byHymxC TPi3qXqd5QUmzP5TiJf5EhMmUjq7b/GPDeV3H9grMuGPk9nOxsJM2G8t6Ist HROe8a1sQEuM+Pd/aaOpNYw49vcZZdloRjx7++Ra23VGvPujMCqZkhHTX//J N4YZsHkvM+eECwN++Y3zcJqBATvajihLfKDHosfjLjBo0mNlkrJfP0bo8Ceb 2a9fnOlwe5ae8rlpWvxbknI/YJ4Gn6+WrNudpMbdcrQ31LqpcKfaxQ2iakrM 4EPyvf/Vcez/jXDP2YcCP672IrbUOIY/f5d+Y8pCjhdpj90lHiPFxl5auYcZ JNhE+VTjmhUx7hfaNA08QYTpLLc+XeohwGwy1GpDLEfoq7apCU/IAVrmevcl deEP2trU/hWs+xvtjlcGHFRsobviCbGK/BvIVFqp+SffKnIPDOyXIV9Ab4a6 h8Y3p9GfB2y2wwNjqPVhef3sfA8SWDkV2SHejFa+CBhed81EB4Zd4Vi3CkwO HgZMOP8Ek7RS8ZpxA0D1P5Xv6ioTYKo50bzu9Qzo3/FUj5z8BS69eEQoSLYC nmdHb3CRroNUD/FLDTsbgAeFh9r1bYG/8YKRbjk74IO5T6qlzS5gehwRWkq9 B/5rZQwnzt4HLfohvmOCf4FOB23V8otDYCghpTC8dQT2+98Wi6cRQNXF32SZ MoQwl/xpbV4jIZR/sJ0rqkkEG1JOvuRvIIIvE7TCQ6WIoasA4TXVZGLY9q23 ynaTGK7XJLsuqZDAPVP/8qkIEggywhON60jgs69eIeYbJLDQZuAWBSsp9N1v euwjSQp9FJmuNqmRwtINF+4TV0nheu+Y/yt1Uug/lBvprUgKCTbv8fcKkEK2 qcWilWOksEfj2dj2OAmU8SQq4ysmge/ZzNi/eJPA5RDq/UUpEriqZXZIskgM zbZ/m136l6ufi6NiBxLDGVL1PxZjRLA9vJKx1YcIuvo/Xw6jIIKGDltnRhMI 4YnEcZLT7IRwi0f3VFEyAezzUTBpYSSAa38eGCXRHwGGEL1Fxo2/YFpLtvBj ywF40uJGzJu8D0RF1SRorffAjCUjwWmePyBFLNqJeeQ3iAo4ofP42Q5ISasX k1bdBheTLb/j1U1AxfJssffFBpC6akzGD9fBY94xmpzGVfBUBxDTUS2DGeG/ Ax3XF8BT9letYvFzQOvyRrdL3zSQjU6+VHNyEljO00ah9lFA9v5P5YrzACAe oheyYOgGG5FGNM9jvoPp4R9dTSz14ANTvOiJRyVgzS1Iu+1OOJpO5fau/16K 9Ir4jK/JNKBrZ8MGE7vbUVbxqVPJJ7tRkZpv/OTHfnT21rJjtPAIapj1l4is HUdWMX/ygoYnkbOLQM7+zDQqW+sjMhuZRe7Tb4PI6+bRY7rRXrf4BSTvXtHH rLOEIuLInIP3llHmfbpE5aerKCZtvz4wYg1FSZU3v72wjvppPaJJ59YRu1fB lVvhG2gqqvFjHfsmQo292zuZm4hknfblLvcWeu7MGFadsIVqmOm7lQ62kPRK 93CI8TZqYOg89ih/G4k+Vaw3X91GvJ2aFnRndtDSRdffn0x2kEHomqlt0A4q Mi6fUnixg+K7mm+Y5+4gnb/0gytvdxDvzLl09pwdNELZvkbzfAdxnhzc/Htv B31lTHx40ngH3TuWwpj7z+8y5frdvs1tpO6iVrrycRudW71GLHZrG7VrJjtM sG2jIKtXhZo1W2jazE64wmILqRNXp/tvbyKto+P7w2GbSJZ5/rwk9SZiKHok 0BGzgYaJma9RHd9AIxOrBQrB66j3GW/sl5U1RHZh1mPAeA1tHlaF/763ir6k ON3avLCC6kqPQ4vtJWQeHfVkLXsRkaSauNpcX0Deum6ibhvziC8vff/H0zlU dFcnTkFwFll87Zt1rppG7lNOY0xaU4g+YXF/ZXAC8Vel0LyzH0dOOvcmCCdH kKhlr6fU9iCSqDr2R/NYP5J3XvqTeqIHdWQXL3hJdqJEuvXriqntSPL14d/3 Q82I6kKTR6lAPXIcnvxqT1qJrLNbWKYq3yNTmdNzst7xSOdd5r2UkSTAqpGr XJpaDKRUJRh1aCqBFa/UhEBWHeDyTzjvn9kEalTfdRiEtoG8UEED4oyf4H53 gdPvlU7AqURwu/5MDwh2Gqd6r9cHQqS4Q6idBoBQ3VaRovMQcJqzkykwHAFb +lwJLWfHgG57C+1Tn3GQwVNLw6E1AazDIkcNWCbB3urnKIbeSaDsFE1z5tEU CFWjuHZPbBpoXLShWvw2DVqtj4/b3JgB9ocyfL2jM4BdgGtexnAWCIn0DIXV /uPPVXnENQcm+mg+L3jMAYlwZf3/KufAS053a92dOVCmMHrpM/88mKJtcjNV nwdOoVdFblrPg5nThWHrt+dB+NuZUxJ35sGXiklGXbt5kOck2xKqPQ+6qpOb /4rNA5JVhud7ZPNAV5n/YVnnHGC/NRTtlzAHfJ6tsIdenQPe24yzJ/dnAc3V xzjx9SxoXiC1lVOcBTuPDzVNO2ZAZFzyvavmM4Bbn1/XfmIasCzqmBBYTIPA NBkmr64pEN2g0s6lMgWamjicrQsmQZRGhthzqkmwduf4a06nCXA84pKCZc04 6Kd9b/KFYRy8llJeYa791yOlJyju6Y+AroXLd+3Gh4CxG11zqt0gqHXICZyf 7gfXLj97QGvZB+5U9M70dfeAnqPRR2SXu4Ghg0mjRWknCBvk4HjD2wE+61kg Ts4fIMhVdrZl+xtI+SG0WNrWDBQlebb1sxvAUNTSI8oHdeDN/UBK7zoEOqut JXxjykCWwINk5PgBsCYfE/yQmwesqU9fZVZPBtGhKdThL03AfwPD4YafE9FU NOuncK0cJHYpufFdfTGS51R1+atciuTZbimVpFeih70RyXdu1yDdYjmjwd06 pHKa9qGCewM6IfBqt7anCUktC4zm8bcilt7zYzJWbehT1KxKfVg7EmckIjFU /4na7wYfvFfrQJzu48MiUp3I632NQyxLF9L5oduRtdKF6tdtquXLu1EfbbC8 kE8PSpAFFVqCvcjwXj9ZdFsv+t14IN1u04d4zY4nk6z0oazNsgL+W/3/dKp7 Z4f6ERW3ABMXGEDTYbGOJAkDKHw/5Nyv4QHE39avMck6iFbFzp6muDKIOilb EgKcBxE0zH9ndX8QFXt/yR59NIgel2jm8UUMIqU0hiI730GkU+yqO2A+iM6L 3cmtlBlEDkbex7TIBpG9Tt5iR8sA+sCi+OFZyACqk/nhMyQ2gIxia8f3u/vR Cmfv3KU7/Wh/jvYtA0E/kun8I1MW0YduO7gYxZP1odWVRWOiwF6UYVY2YrfY g4SF8zK5dHuQzc7s9aSSbkSjWiwndrwbKb45Ja1n1oXa8GkLp7xORPquZ2p4 pQPx0v3qYhXrQMMBfbORLj9RBqh+IaH+A13zN153KfmOlMxuTycztCH+oWKl Z7dbEZ9rmLRofTO6M/d2U42pCSn37V4vtG5AKIbaUbawHvHoGatXbtUiLTH7 FJILNWjP0uBJHWk1MnhaYnI+oRxl5Lanr/OVouqyj8z+5R9QPUXCyZc5RUjY iHa0bi4XnSipuKQml4Hu/KSMa1VIRJpODZ8sre8j92af61I5d8GUWSrBiFYc 6CRTSDL/8goUPhnzeLeWBW6FsNvlTRUAF4NlSgWTYuC44EcfevYjSM+xmS5e /gw4vEjlel+UgcOmcWoG0Urg3l8xFFtYDYzU3CwbKWpASUtb22nxWtC6spjE dLUOJMawpimb1gNZCXZsf+Mr2JZgnVC93gB8opXW06UbgZQQnLhC0wSmouIz GAeagLNGN+twYjNw81hjeajWAh6Y3tfcnW4Bv6/Knjnt0wq0ymPHSfdbweGp MrlEt29g5/j0w/6+b6AqjSVoUKwNWEp48xfeawPbvPJ5tmVtoPy4oyz3XBuI sDWaJzn2HUzdOhMqy/EdEEpet1ng+g7iPvBdvsb2HaDSUd5XJN8Bo8bXHaap NtAuNZ2w+6kNxD+64ffU/x9jNJ7xS7WBfoUEKsrJb2D9R9iphLBvQHnrXgfr iW/g1GZp61ZeK+C0MGKMEG4Fj2LrxsSzWkCwsLehKWMLkHty29DRrxksE0gp NvY2gY8cuHBcuAmcsRbROe3XCPQ3A3LIcQMgzXBCO3+/gjVBJzKH81/BEx4i mu+O9eCx2QOttMQ64LQisqxdXQtEWiif3BivAZtmJezOhxjosbu+z5NCIK0z SNfKtgq8SV6rCIypANsT6Z5LH8sAn76+//OeUiCvfKbTZusTUJ+9LSJP/xHc LKd4eCBSAjYv6z5ljisCz3JNl0NaCkC8F2/BBkkuILxnL0BzMRN49P49Wvwv HYgT354J+ZgEvM86J+/fjAXhVlu+X7RDwCVrGtMkKStw53LLNuuhB7r7/vUJ i/YIRCOUloXfPUODOW8q8rWTUcKRvJPf93Tk9B0sL9BlogKPwp0a/hwU4sxh J8qXjyJ9liTFKQsRdctNwt6BIlQw9YsrtakYvZjekFZm/oCWHVJofAw+oi8b DRyTEZ9QZJb1PdHCz0i7/u0RbV0pcjaek1Bp+YIkQ0KNImvLUKztV9t3BeWo xe/wKDSsAvFWetydvVaJvlbPvCylqEL/A6i5eyQ= "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.8837234962591963`*^9, {3.883724390909018*^9, 3.8837244220350122`*^9}, 3.883810880164082*^9, 3.883812928206394*^9, 3.883816240328163*^9, 3.88477005606642*^9, 3.8847718077663813`*^9, {3.884776288180044*^9, 3.884776296428225*^9}, 3.884781651288433*^9, 3.884783715413142*^9, 3.884783866733839*^9, 3.8848451181350594`*^9, 3.884845201915539*^9}, CellLabel-> "Out[136]=",ExpressionUUID->"1efa135f-0f84-4ed3-ab9c-ccc98c11fc70"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBQQO+/CFib1JlAgAAADMAAAACAAAAV8LX7G5QY0AgidVSwUFWv3hJ+JX4 TmVACKXRvo2dOj9bAbm7/VxnQDqRedBz7Vk/kIIzyKlgaUA+zrZARV5fP21o 05crkGtAfInFfoQSWj/ySfffPJptQKf28eSgwlA/H5BA6yPQb0ACKmoBXsA+ P8/Poe7Y/XBA7iRzIc5nJT9jVeWj5wByQAtBRal7xxg/S427OuEZc0CPlJnM rJclPwfD040iIHRAZXUpp5t0MT8Xq37CTjx1QMVv0WYALjY/0HeGak5TdkB+ w4xsppg2P11C0M6VV3dAvLxUVDoDND8+v6wUyHF4QGJ76LYT2i8/8jnLFkJ5 eUCIQsnKFAgpP1CZRoyPe3pAcI7+KDKvJD8Cq1Tjx5N7QH0gBKq6pyI/h7qk 9keZfEAyyd4dGWMiP2B8h+uytH1AvcyP/dScIj/jIsdT8cp+QOnpJgyvdSI/ OcdIeHfOf0BJeSD9TLMhP/GOLj/0c4BAiF5s8nVbID8wuVmgUPeAQGzx5bt7 4R0/xFUzuxZ4gUC0+uuMoFobP4JL1kbSA4JAnwI+U783GT8qQJqwMYaCQNf3 bkk3zRc//I0ni4YTg0AMRC4lJ7EWP7fa1UN/l4NAv3LE6SnSFT/HmTK24RiE QLUzBDwn9hQ/AbJYmTmlhEB+GsiOc/QTPyXJn1o1KIVApAxVxk73Ej9zObCM JraFQGD6yejH6BE/FhxveIFBhkDxR5CFofMQP6L9TkKAw4ZA+0wsbJEoED9Y OPh8dFCHQDgk9LOszg4/+HHClQzUh0AGxZBOhYwNP+0dO2gOVYhAoE2lLMVn DD8MI32rBeGIQO+hiDsxOQs/FSfgzKBjiUC7zvnNgygKP0iEDF8x8YlAbmhm TNILCT/PU+eqK3yKQBLw1HYzAgg/QCLj1Mn9ikDV8RV0MxkHP9tJqG9diotA TSkPBGMtBj9gcI7olA2MQD9nvPgsYAU/D/A90sGbjECcyXdI2I8EPxPim3VY J41A+16YyxXPAz8B0xr3kqmNQEKNBJ8hJAM/GR1j6cI2jkB6i/GzeHMCPxtm zLmWuo5AbEnsUE/WAT/sZR/3/z+PQLj3n2rOPgE/LLxyZA== "]], LineBox[{{101.78881388766646`, 0.002373762547132736}, { 114.93512005421191`, -0.0013584506917472886`}}]}, Annotation[#, "Charting`Private`Tag$1319786#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.0013584506917472886`, 0.002373762547132736}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBQQO+/CFib1JlAgAAADMAAAACAAAAV8LX7G5QY0AgidVSwUFWv3hJ+JX4 TmVACKXRvo2dOj9bAbm7/VxnQDqRedBz7Vk/kIIzyKlgaUA+zrZARV5fP21o 05crkGtAfInFfoQSWj/ySfffPJptQKf28eSgwlA/H5BA6yPQb0ACKmoBXsA+ P8/Poe7Y/XBA7iRzIc5nJT9jVeWj5wByQAtBRal7xxg/S427OuEZc0CPlJnM rJclPwfD040iIHRAZXUpp5t0MT8Xq37CTjx1QMVv0WYALjY/0HeGak5TdkB+ w4xsppg2P11C0M6VV3dAvLxUVDoDND8+v6wUyHF4QGJ76LYT2i8/8jnLFkJ5 eUCIQsnKFAgpP1CZRoyPe3pAcI7+KDKvJD8Cq1Tjx5N7QH0gBKq6pyI/h7qk 9keZfEAyyd4dGWMiP2B8h+uytH1AvcyP/dScIj/jIsdT8cp+QOnpJgyvdSI/ OcdIeHfOf0BJeSD9TLMhP/GOLj/0c4BAiF5s8nVbID8wuVmgUPeAQGzx5bt7 4R0/xFUzuxZ4gUC0+uuMoFobP4JL1kbSA4JAnwI+U783GT8qQJqwMYaCQNf3 bkk3zRc//I0ni4YTg0AMRC4lJ7EWP7fa1UN/l4NAv3LE6SnSFT/HmTK24RiE QLUzBDwn9hQ/AbJYmTmlhEB+GsiOc/QTPyXJn1o1KIVApAxVxk73Ej9zObCM JraFQGD6yejH6BE/FhxveIFBhkDxR5CFofMQP6L9TkKAw4ZA+0wsbJEoED9Y OPh8dFCHQDgk9LOszg4/+HHClQzUh0AGxZBOhYwNP+0dO2gOVYhAoE2lLMVn DD8MI32rBeGIQO+hiDsxOQs/FSfgzKBjiUC7zvnNgygKP0iEDF8x8YlAbmhm TNILCT/PU+eqK3yKQBLw1HYzAgg/QCLj1Mn9ikDV8RV0MxkHP9tJqG9diotA TSkPBGMtBj9gcI7olA2MQD9nvPgsYAU/D/A90sGbjECcyXdI2I8EPxPim3VY J41A+16YyxXPAz8B0xr3kqmNQEKNBJ8hJAM/GR1j6cI2jkB6i/GzeHMCPxtm zLmWuo5AbEnsUE/WAT/sZR/3/z+PQLj3n2rOPgE/LLxyZA== "]], LineBox[{{101.78881388766646`, 0.002373762547132736}, { 114.93512005421191`, -0.0013584506917472886`}}]}, Annotation[#, "Charting`Private`Tag$1319786#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.0013584506917472886`, 0.002373762547132736}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwVVnc4Ff4X5l7X3ntzr1X2vCXykq3I3qOMrCIZaaCIFBJlaxjZhIQGtyJ9 JVJGIipFUomkSOPn99f7nPE5433O5zyH7BtuH0BPR0c3R6Sji2Dznj3e0IZm wVGJxJo2RLk5eL8ta4OEindccWEbdsUbsrWea4Pk1592Gifa4DM54cAb3oaP rKu9Xh5t8HsqThExbYPRu2vHrZTbELC+Wr3K3QbRix0KSsutqAt/KjH/vBU3 Ir64GzS2wqlc3k4jrRWZzky8/X6t+OKXaiW+rRUrIw8MFDlbIawS8pDw5ibm 7nAZN1+/CbFCjWumcTfR3i/k9djiJiL3JLrb8N5EubIS45uXLcgzlNQ/d6UF LL2fTIP8WiCf1DocJ9cCrm7y+tTMDYypURSKy28gwbhFrGfvDchNHps/IHED Z5Z3fyl/0QzXppu04+ebka9os5XJohnbpnV9nf82IdAhOub4jSYQGjRG0gKb cPer8r9c0SaIHGPPbHzSiCnjDs1PcY0gXnpV7qbaiFlrt10Sd6/jSpHqgq7o ddiGJZeqHm6AxMvIB9JD9Ti95npCR7UeeyMyJ7JS6/BJx/Wi+3QtMssI0i16 tah67HzpwcUaNJNNe6u/VON40bvldLNq0LjbVs5dqcJuop3c89VK+NUYW8fa V4LO82BpaV0FblY03Y5gqsDzi3NJJL9r6JUM0YujlcPMbSjgp3g5nPlNH2Ud K8PAJhbP4IlShGuX2RXql+KJmQ2d4ZUSWPbPvY8iloAuYXeRffBVZMXZNb8r uYJrMobPh6Mug8tTzrpi5yVUjbotJ8kXI+T3YmUeqQhCeq3uLB8LcHudhfhv MB8X64uLijvyID1LkmK4notIWZ1kp2s5qLl3637D1YsgS049UCq5AIfKCxGz Fdmw/qXY/KMpC9OhwwGHHpxH1vh/L8cbM8EbXe+w/CEDb+yFWW0U00HVOzLN GHsW1BMab3WepcI0frPOV53TUG+sNzGuSMYujtN3DCinkHrHsHC+OhFG65lm u7afhJznZd2+9gTMSdGTQjjj8Go5eznk2FHsl2sO7fh3GJzXXfdYFUUj98uO uO/WkZC8n++YLxSBB3lrYiKLB2C7+ljFZCoYD1TMqyzWAiBA/l7VbOiL5yV1 3MxBXtAOTkgOvuYMpyXJh/u22mLvgvH1HJigsd/QzCBYA2x8v3hEcnloMrom xre/baWVnTEVFaaY0bosLg2squ2mNQiGvucccqAVnP3ydKrLhfaL78ll3v0e NEOJHD6Pfm8a0earxq3ve2jqbTXXOfb60prN/Xedr/OjrQ13/Ld5zJ+muZiy /PB9AK1wQXKHw9A+muLpoJAH5YG0Fy4H/5Lcg2hN/2ZYeL8H0cw7kpsmIoNp xuGZw67jwbQ6qn9jwqYQmiN1X4qZTwit6qSqSVlCCC3ipKZq2tkQ2reAD+nf ToTQqHPxnk/8QmiWesb/WLRDaDWTld8KvwXTAsYkTu+/GkwTedJQGGwQTKud iXQ+2h9E2xfwcSHJJojWsLQpMOhBIG3/Qy4XRsVA2veXji1bU/bRLDqyLo++ CKDZ7oXqDakA2oHhCrNL3v40z6TuEJ8cP1qpp1gOrduXJvwtkjfhy16aZlKi jzv3XtpIywEWFtU9NOkdXpRj57xpFc1JZVa3PGnbPuD54KQ7jdlr1tzhjytN 5sbfF+wiLrQHbl6HVDSdaNPGB1nHLR1odp1Xk5T32tHqaJ6mgd9saBfJvUyz cjtpVAlB5R5vc5qB0Vut6cvGNNvk9oLfT0FTIP1+cP7wVpoZv6p/4xYNWukp +rEOeVlac3SZ5dVQZprjdcEyqTuc2Cs15LpbQw71Hq3qdNoa6OoaOWpYuQUO OT+G/Re3w3g+TKyXcQd+rd7rO/vXBG8yfhQ0TZnjlzFx9myFFdZEl+ZjnKwR xCrmODe/G0KVsh80tOxQ9y3+Mc3PHq9OS8UvpThg2D93vbTYEcmNo9bt5U6Q Feu0k7jiDG6HQ9EP01wQstAeUxviCq6UA9LP9NywzKrLhH9uOH+tzpThpjtK K99uoXp5IGOj5cWfHqiQY3RwSPbEzV2G3CkkL1x2b5FqifXC69hYMc7XXpC/ e9+od6s3IkTT1KVSvHFocrDb8JE36qdPK+T+9saVFYP57fI+UE5/FJBh4oN4 mdZNgy4+UItcu+C4xwezV84VhXr7oHR1R2qQvQ9EbXNuX9X3wVJ8b1iohA94 N2slkle8sbfvg65EtzdytBtYb5/1Rif7QV9HS29skxKJtKTzxoMnP//+uO6F SLlq+TuuXjAqzt/6/ZcnEgPEEunyPEE4rEoxUPGEs/rkJGunBwh9Tj+6LD3Q 3nudrmfQHX8LNmbQwR2k9ew/vM/dwJD7JJTX2g3sHJPxXd2uGN8sbhun6wrx nPSEnFoX2Cc1Cu0Rc0GeFl+k2hlnPChIkXFccULqXZ4J8T1OyDt5xnm01xGP vJ9Z9mk6orW9w9qkyAElRtlPTxMdcPq3AGE81B4srNTB48N22PlF7dn17Xbw P6Vn0FhpixgJhbAyXlvo3SSFM/y1gfWuLtVTL62hGd71z6V9FzL1IkbfFu5E TLdtTfxJK1D2eEWl7LeE5MQztV2eFlhMMJ2UsDPH2ghzqslOM6wl1Fgz7DRF zNvswGJbExyTLqSaexqD+l+K7bawHciu98ysSDHCzsVgSvs1Q2SeeGikkgcc tw3Qf7wxn9nvqQmnXPVh55tZcX5gGzwWTZ6JOuiiZrlryGx2C7Z89TqgnkqF sE1FwqetOugcbzI/taqFeipnwb8eTdQYmIt6lGugYmUwMeO8OjzPurdwCKlh zWbnwb2KKlDc8o5t0l0JNhbmJ/SqNsN4KuyQMu8mqETr3nLMlwftM/W9zTY5 8PtOPqj9KYPYmo+fvj2lQLiu2qTsARlD00untZ5Kg2pLLJCbl4LA0hYB+0BJ HDqra3SdXwJzOjV1y4ti2J+50vH4lyj0Rr43j6iLYiXx16W6LBFsyfjs/VpM BF/8RfJ/9Atj0Sr2clSFMKj7WANGy4Sxq0DQ72K3MJTH/kbJMImgyeBQ20qw CMQnujyPfRJBZZzmcZmzomi78G3c00QMS2ZPG3KFxZFWqO9uRJKA8cF28lNm SfA1eI63kKXwZW+3hY7CRr2xPYKtPdJ411VKvBRGRoz2rk5lSQqWTWY6aoYp +JQ1lOSTJQPp4W3juQ6yMEh5zXlVVA4pCpGKAzNyoLtuLRvbIg9R8wLetWQF LH374dzotgk88uWP6NU2w/yO4ogTSRHfiRV1Iq8UgaUqZ1qzEjROPn/ekaqM pXuS6lleKijuJpbeVlcFaTUk+x69Gt6I5zeqDqphTDD172NrdRzKswzuaVJH oLdkzAs+DTh8Cm8ZiNTAXPLLgIRnGrAI0IijKWviHKNtcWCyJoh8JdwOE5pI 2XdmwEdVC/w/60PD4rWwN1lB2LdPC70S13OlBbShlvZUK9tDG56LCndLLmtj prcvQn9KG2+vPqGzF9VBTdvaoWF7HSiuvKW0n9bBnKVsw3K7Dt61iX5ImNXB G77PD124qVg4yu0WS6Wizd3x5htXKny7A2ayDlNBuPxz7Fw2FSZCKQ6vqqmI Lno0fqKDCh7DkfJT/VTcTBBIWXpJxYdny1PPp6ngjgk/ozNHhURyWo/CPBX3 xWqUbm3I+ZtfZf56R8UJJbW1PxNUJP9Hf3Z0kIrNxKCw/AdUuPhU9ro2UUHl GSpTuUSFxkrmC5UUKlq7megi9lPhWc4byGVLhc/4pWWyBhWRFGfhB1xUjDws esDyWQd3THos+Xp0UMLT4b12SQd7E+bXRyN1YH07w+mRuQ5iLA4+nhHRAb0h ccR6XhtJrHO/RW9pI81g7r+gFG2oP/RpsrfXBru2ON93cW1cXbxBCZrVwqcQ lze9DVqQDJFk147RwgHykOh9fS3ci9JXSiNoQSJrbr32kSaWbsS+1U/XxOvb YR3OtpogDx5f4eHXhIalS2jKCw2wnmeO7ivUQGRDz8hPLw2YTlm2kckakDcu K/N+r46d97MTuirVId7gnuwfqo7l91yGTmrqcNPr5bT7oAabgLGfbw6qgdRS yxS3rornblvPm51W3fgHNv5e/KqIn7s79LpUBWwOdlXzmiqgl6+TKehWxvDL mT8MrsrYM/7H3+yLEoxrOP5EnlLC7hXdt6USSqjS8bg2266IrEAXVztnRYgp yp9eXtkMzbRYw1d5m6Fd9UdYRH8zJrW3q7dOb0LDPB21M20T/MZMD27bsgl/ jzbc15xRwMfUsMb6HAU8cqo+0GihAM4mvUmDv/IwUp+/5NEqD63hzzzMEfKY ZHoWaKIqj60stWVcC3IQGMmsCmzcwP9sd1hGy+GO4SG1Rn055Bc6K+UxyqGI KW/153NZPB9LCu0rkcW7pYdRLJGyuGMqplxtJgs9u00TV8Vl8azDlXn2uwy0 Y3pPHni68d/zqUFKdTKg//hBly9NBsEZuZNC+2VQsGpWr7RbBoNbeE8aasvA 4/3LW+ZiMrDSm96pySADKodN7+ICBW/dY/dHTlDwql2BUtNLwevGvAunblFw L9dR/VsNBaaHZ7dMX6LA7qt5l3E2BVo/5AZIqRRkj85AKIGChbaw7/sOUzDt 2dL97iAFHRN0mcdDKYjavW4gHUiBclPwSIcfBZfU6sJN9m7YsxZtynwouOMj /rrXm4Lh6/s7Kjdwoelxp/KG/pzq8IrFHgoCAvLaP2/4i0zQVzD7U9AwQF+b sY8CH6o704FgCjKsN9vn76dAd5wcT7+RNyn+8GRhJAVrSfFyLhv1GLT8i9h8 jIL8FUML0kadurFdBVOJFHQFtPdUp1DgLKVy1eMsBTbKi8EfMygbe0z9lUUW BVktI7IHL2687yucc8qj4FnQa+OlAgqYGg36dIspCDaeSVO4TEHcVA3bjSsb PH1etBi5SgFWzW+fLqGgdnjSunsDjx1pDUrewMmUppmHG/aWY978Jzf8z1SX tDVv8Fm9rsTgUkRBXu2jyyH5FMTSHS+c38j7Uv9szPB5CjymTMXl0ykgOTx+ NblR789d58N+naDAafj9/NGjFPRtN+nz3uh3O6Vo9toG3xzR4WG2Gzxb9S9/ 8nanIPwH4/bnthSsDJCzas0oIMfp7PusR8HhxWPJueoU9FTo09XJUvCx+LSy mvAGfxZzJRQ2CiIiealn/pCxfu/sWsBXMrbm79K++4YMM+Vw38xnZNigT/3d fTImUHbkThMZ2Ra7jcRLyAiPW2hmOU+GwTYpidR4MkwjaAtF+8moO9N6w9Kd DCHmxzy55mQcV41/mKxNRi+NeEWCTIbiL60EXw4ytg8WObqtScPGPU+YaUYa qcHxTw4OSmMn77uYojvS8KJ7J51eIY1P5ulD5lnSYAx0zhk6Jo0AnsZA7X3S 0HAuNQm3lYZsyRnxM9ukkcwyM5QiK4323fpGBzilceWxrnPiohT2J3qmc3ZL 4ejJO/tS86SwJ9Hk92qIFAIp13WCDaSQVe73+C2PFHaXZW0PnZHEvfKYCY5b krBLGG59li6Jc7vzKjr3SMKjs8b4lbYkHuj+ndVgkUTVtbbKnkkJVHFddCtp lsDTe9Fp/53euCc4pVJ2eEngq5rITgEtCby16rlgxiKBmPlLgxOvxXFvOXvT eKs49ORKY83OiaNJIdVBbp84MmQv0x8zEMel/yZO7BQSR3/xn1OFG3fJ01MD h0Mfi8FY78KR++ViUM7M3XslQQxsm0c6mTzEMJj+aOw3VQzCFMvGE3xiEB8v pMtZFEWQwQlDvQFRZKZEl0XViaLJ74/ojjRRvFEkuZaHiCKHzftJkZUoVpct 6zYpicJuVHTRil0US4vTToQFEdAPaPvZDIrgYsXSPtUbIigflz1WkisCka2f UiqOimC1x99Q30cEl19dV91rIoIe6udaPkURdH02+WDHLQLD3/9mRX4KQ8I5 +2zwlDDIW9vSDXqEwdN5Jjm3QRg7C698DssTxoMXMmIPTwjjZsuidW6IMM4l VVa+dhQGR/1DzcsQRv+rm+8GFIXBdPxVYZigMMwvXpY/ShCGl4ev6cKCEA6f Tq18NCGE0R6vJUKvEGQyiB3FrULoKt5dnFUuhDNXS0SnsoUQr9/QGX9SCG/Y wX7woBD6SB+SG3yEQOqsaaDuFsIO5WI2EoTQHhUsJ6gmhLdeU2f2SQnBRdK1 /xuXEPi1ldLb6IRwY/VXaNOSIHT/I0hMTgvi9UFbjy3DgiCPf/1696EgzGqY mkPaBFHydvb09mpBbHMgBmkWCeL4lzk3swxBXHkpcjgmQRDjYa8/0SIEIcjG virlL4j0N/VfLzgLwu1Fs56IpSAmCuPc6/UEMcC4/421qiBieHbHrkoLYj1i +F0NnyBuaU6v+zIK4u7B942SawKwPs3B9uqTAB4upioWTAnglGyJueMzAZh1 jTWzdQvA3f/ncEerAN47s6oFVwvgRaubO3uxAMoV7ZkrzgnAuNGPoHNSAC9H Rja3RwrgbXfWYdV9AhBPmV7PdRUA9b3S1KKVAAJc8z31tgvALqSzL1pNADVf t+deIQvAKs9Jv51PAI+UIxxoJAFEEpqSW37y4+hCSFbeR36oWVyzCJrgB51j +nn5fn58Pj2953knP6qE93eFNvJDTtt56FsJPyrdC+8GXuDHu63edx6f4kdD mK2YeAw/8q8RtngG8qPVy+hwmis/qp8G29dY8iPHqnPnrW38WPe99a1daUPv sme6WpwfF4g599I5+EFtCNzu+5cPPuLBvEpf+XBG5g/93Gs+fJdqGC0Y5INq xklfo/t8WOWxiX/dxAcxCz6W6FI+SMU7fCBc4EPwnXDC2SQ+uBoyWrBF8eHQ fYfq0/58CMjKE6Vz4kPRj6PZ0aZ8KBw9xvJRhw+tH92PeMjzQbo641W/IB8K eFpUjJj48DiKN7D1Jy/m93Elqs7xAr9vxtSM8ULVX19PqZcXo6TMrqZbvJhS eUOHGl7YhOq/HSrkhcBlmd0Raby4NCavIXycF6HsacG9+3mRXrQ4kuzFi5z+ fzY2NrxYURCtkgEvStu4rzOqb8Q1eK20Ks2LDvP9b1Z5eHFEyiaVhcgLpcsX xxS/8yDoYV6C1wwP2KT7ZEtHeaAwmhO09ogH4gFq7/1u8SD764nN0zU8qGVi 64oq5gHL56da4ud4MMe34+dYAg/CflNP1kbwoEN0avtFPx7sG76TdcGJB6kh VS+rzXkQdeN5yAtdHkyf6ckWV+bBocGYvCOSPKj5ZNW2wM2DPefVNh8n8sDq vxpxyg9uRDMt33ozx40QbRZK+wQ3WuJGwqoGuJEyYXaj6T439ESi14dauHHF 5OEuripu6HpzV/gVceOLwpN/g+e4Ibmgs8slkRtMmxIO/4je0D9eD2wI5kaz mv3feC9uFPjVCQTZcWO9Zz4p2JQbds9fiCTpcsP8vWdZiwo3bFfaPvwhc2Oc s7naW5AbFSGjlaOs3GhQcNTt+8uFxOlHcYJzXDilapV07hkXXFJ8qzXvcMG3 38aScI0LehZRrb/PcUHFdNCAfIQLFfpBSuF+/8db92asuXDSVx6ntnLhl/m+ d5YyXHCX/Dqrw8mFnj17T5ivcSJ9bvFd3HtOaBs9MR57ygkvwcRBpzucULjo f2ulghN1V+eV27I5cbiH060gnhMRd2tDi0I44b5nNPuuMydOyej8Wd/BifBm x3FXNU4wvF9zfy7GicGOg02BzJwIvDDGI7zCATX5A83Tbzmg0fqkr2eAA/30 egVddziQKv3WdayKA7xbWHcx5HLg1i/PNrMkDtAz8L67fJAD4TPyYuzeHHjF ce56xk4OhER7fKfocmAv24JRnzwHJP8JrCTzcyD0yZZwewIHwlT3C6ovsmNw tthJcoodddGXi8WfsOMfzWyP4m12pLefEDWvYkcsu5fVoVx2WC9JRdWeYscR nl3kb4fY8bS55o3pXnY8kLUzq9jNjicnyj7xGrDjyivH8DRldjAu+UdzibFj zkms8jILO3740N3YusqG221DuyZn2fCq44RK+ggb5oa4+Uy72ZBaXHSP6QYb /uzS+TtUwgZeuYn86vNscKF4+6YmsKGFdZfGwTA2pLwefbPHiw2yo7dt3Xex gfSREuCpx4Z2sXTGQEU2GJ+uJB8VYYO+uV5lDjMbjnkT0m/9ZIVzTdp/M7Os WPkl5CY6yorqwMPbXR6yYvOPmdjiFlZMVX3gmS9jhRa7LK/hBVY8cTJKuZzI CnsVWhzpECsU1J6xRu9lRaax7o4vthvxRsh6YYasaKNf5VxVYwXxuenLs1Ks YM9Kb5PnYgWDhVRv318W/Ez8o3p0gQX3XRvYNKdYMDwilrTcz4K+52G3OztY 4G/y6cWFehYM8PUTIi+xQDxDzs8zgwX6EbfItnEs8K5/HWhzgAW1Y3t8XLw2 cJ+LZqg1C1abuNnObmeB6LMFvhYVFgy67Dz8UYIF27+5+yhyssDiK8+PmL/M qH/EEvB0gRnK2YEjWq+ZsX60K7z8KTP6THg8yfeYse3hmfs1jcywi8zpMSxh xkn69vPvspghxxxnciGRGUy3Aki2kcygu/FiRcSfGeNj7FuWHJlBNWP4OGLK jBSrKMX/qMzoSewQ/k+BGYe+Tz0dEWbGB/3QkCUWZsg+jqcXW2dCslhbnf1n JijSKyXmTzJBYMYv9/MAE+ZYXX/b3GPCtu6Ah7QmJhwv3U2PMiY0pel2PrnI BMnOCubgFCZsvhn7iS+WCc2fFsL7g5nw4VDlpRwPJhS7Xz2635oJZjO6bPZg gs1RXXszDSbUOPfbWsow4e3SeUYPASa4c2VHHGNiAjXa+VzNGiPkdky7zH1i ROLLzkfaU4w44EkYzRxkRH69y5G1B4zoXGSsjLjJiNKkv/arlYxQ2PcqPKOQ EedZVxfUMxhhnLz/3nQCI54IyAyVHmIEF90Uf0QAI7IbjA9ZuzJCV2h+dMtO Rpxx9VVRN2CET5qJD1WDEUb39JysZBnxTpL3Z6gQI+zkO5SKWBnBSAh5+eIP CQFfz8yQl0i4VzulfeQ9CcofU2onX5Dge5tVZXcfCXd/BRb3d5KgViH5yrWZ hFLR7QOL10gI3rHfMaeABP/i9d1mGSQMyn0pIZ4koZ6PXqk/igRev/t9pUEk 9G7L8D/lSdrYE+UjEbYkvMhQ/xdiQkKsu8P98K0kHDmo8jtBmYQTjvOZRdIk RK/2ej7gJ6HJUdH4OzMJJ1vOy2j8YcCh5uap2CUGlH+Md+qbYYCBhVzwpnEG nHHhW88cYIAinfoX+i4GdJpkkOPbGEBSqj/KUMeA2rbDExevMmCvlpGCWg4D IDJoNHSGAdW1vlwn4xnwQrYlamskA75fpHdZC2SAzh7O4i5PBlD9Nynm2TGA SFOaizRjgKhhSoeb3sa7E9uyLdQZoHZl2sZQbiNfVfMrQ1EGbK87KmfFxYCI mCo+TwYG9P62yI5ZIyLkCEtGwQIRc5pbF7vfESH8q7tqdYyIUE+jcu0BIs6m vhmM7SLiy9cYiYftRFRcOXJEpIEIZvc/w9FlREwF3ZQezydCaMs3a7NzRBTU XbG5nUQEt42xAPUIEU6bfl28FUZEbkrMfRN/Ioai/px74UbEFn7/bxG7iUjs Yn/LZ0pEm8h7245tRMSGf9oSpk5EvwzhnLw8Ebp3FK1mxYiQuuLmX89DhOWO 38PHmIh47bxy0e4PAWc/5V9SXSbgbmTVHO9HAk6u5x38O0WA4T0vtaVhArLX t0l/ekyAY32cwed7Gxj1JPl7KwEl5pRvxHoCahQfJ4iWEZD62l1pawEBp/Ka lzwzCWCs+PY0NZmAJzrHuu4cI6CR4UPvSsSGLM/0lhpEQNbgFGOCNwFKald0 BxwJaLIqOyy7k4DzP0JpJ40I4Bou4prdQkCF3/I+O1UCLm+y7u6SJaByukB+ uxgB5ROv0jt4CKi13PTDhJkAuycFe4f+0qPnr/NA0Ao9MuTO6pE+0+P7sndV 1TQ97A/+43N4SY/uxfNxDIP0eKOl8f5uDz3GCpfNjnfQg3xsqnxHCz36suZ+ c9XSQy/nh/X7EnpUvhvLpeVvrJDdlqMlmfT4yPWRNS2FHr96DbSOxW343W2x PhRFD3a2PNeDofSwVOC1j/alxx43ja0n3eihGzDJfNGWHl/tJ+7Xm9Pjm23f ngEDevwPnSt8kw== "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.8837234962591963`*^9, {3.883724390909018*^9, 3.8837244220350122`*^9}, 3.883810880164082*^9, 3.883812928206394*^9, 3.883816240328163*^9, 3.88477005606642*^9, 3.8847718077663813`*^9, {3.884776288180044*^9, 3.884776296428225*^9}, 3.884781651288433*^9, 3.884783715413142*^9, 3.884783866733839*^9, 3.8848451181350594`*^9, 3.884845201935985*^9}, CellLabel-> "Out[137]=",ExpressionUUID->"192eb4ee-0e49-46ea-a75c-d7531d9aab82"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBcQOO/CFib1JlAgAAADYAAAACAAAAcd4X8QCFXECX90cd1c6uP3yzIRql zV1Ayn7WwseXqz+qNaT+4hNhQLcH2tbCUqQ/PY276IIbY0D8xFWqH/ifP3hJ +JX4TmVAHfYUMwn8mT9bAbm7/VxnQCHgTlhdNpY/kIIzyKlgaUB2TeNym2CT P21o05crkGtAMIKHlfXMkD/ySfffPJptQBCabrs1aY0/H5BA6yPQb0AU5t4P x3qJP8/Poe7Y/XBALvKSnr09hj9jVeWj5wByQAnlX6+yvoM/S427OuEZc0BU jXsDsYaBPwfD040iIHRAEsi8kjaifz8Xq37CTjx1QBZosfuHg3w/0HeGak5T dkCX2NfsCuN5P11C0M6VV3dAbJS4TmS8dz8+v6wUyHF4QD4h7dBPrHU/8jnL FkJ5eUAI39CjpvdzP1CZRoyPe3pAPFMwEYZ6cj8Cq1Tjx5N7QMbn44OJC3E/ h7qk9keZfECsCMJHHrZvP2B8h+uytH1AJJ/zE/FobT/jIsdT8cp+QPi1llOB Y2s/OcdIeHfOf0DdYb6nd69pP/GOLj/0c4BAbSaOFJ4CaD8wuVmgUPeAQLKP 7taglmY/xFUzuxZ4gUCZh2ukCFBlP4JL1kbSA4JAkDbOPNwLZD8qQJqwMYaC QJORIQLD9mI//I0ni4YTg0CSafzmBuNhP7fa1UN/l4NAISeUqkL2YD/HmTK2 4RiEQHmBLXuHH2A/AbJYmTmlhEBhwe0aO5BePyXJn1o1KIVAoLmfT8sbXT9z ObCMJraFQI/p6dhgpVs/FhxveIFBhkAZ/JnZh1BaP6L9TkKAw4ZAPoE490Qo WT9YOPh8dFCHQDrqJU2S/Fc/+HHClQzUh0AfEjPDQPdWP+0dO2gOVYhAgKZk 2ewGVj8MI32rBeGIQATP/Dh3ElU/FSfgzKBjiUDFRlfaZjxUP0iEDF8x8YlA i+04WnFiUz/PU+eqK3yKQHlhcwqRmVI/QCLj1Mn9ikCBFmHqAOlRP9tJqG9d iotAFxoymGE0UT9gcI7olA2MQFezT1c9lVA/D/A90sGbjECpTIugsORPPxPi m3VYJ41AbYOjgrm2Tj8B0xr3kqmNQMhq5Tnaq00/GR1j6cI2jkApaL1HlJlM PxtmzLmWuo5AwlWzn6ymSz/sZR/3/z+PQM4Opm3yvEo/bd2ZYQ== "]]}, Annotation[#, "Charting`Private`Tag$1319847#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {0., 0.06017175657687728}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBcQOO/CFib1JlAgAAADYAAAACAAAAcd4X8QCFXECX90cd1c6uP3yzIRql zV1Ayn7WwseXqz+qNaT+4hNhQLcH2tbCUqQ/PY276IIbY0D8xFWqH/ifP3hJ +JX4TmVAHfYUMwn8mT9bAbm7/VxnQCHgTlhdNpY/kIIzyKlgaUB2TeNym2CT P21o05crkGtAMIKHlfXMkD/ySfffPJptQBCabrs1aY0/H5BA6yPQb0AU5t4P x3qJP8/Poe7Y/XBALvKSnr09hj9jVeWj5wByQAnlX6+yvoM/S427OuEZc0BU jXsDsYaBPwfD040iIHRAEsi8kjaifz8Xq37CTjx1QBZosfuHg3w/0HeGak5T dkCX2NfsCuN5P11C0M6VV3dAbJS4TmS8dz8+v6wUyHF4QD4h7dBPrHU/8jnL FkJ5eUAI39CjpvdzP1CZRoyPe3pAPFMwEYZ6cj8Cq1Tjx5N7QMbn44OJC3E/ h7qk9keZfECsCMJHHrZvP2B8h+uytH1AJJ/zE/FobT/jIsdT8cp+QPi1llOB Y2s/OcdIeHfOf0DdYb6nd69pP/GOLj/0c4BAbSaOFJ4CaD8wuVmgUPeAQLKP 7taglmY/xFUzuxZ4gUCZh2ukCFBlP4JL1kbSA4JAkDbOPNwLZD8qQJqwMYaC QJORIQLD9mI//I0ni4YTg0CSafzmBuNhP7fa1UN/l4NAISeUqkL2YD/HmTK2 4RiEQHmBLXuHH2A/AbJYmTmlhEBhwe0aO5BePyXJn1o1KIVAoLmfT8sbXT9z ObCMJraFQI/p6dhgpVs/FhxveIFBhkAZ/JnZh1BaP6L9TkKAw4ZAPoE490Qo WT9YOPh8dFCHQDrqJU2S/Fc/+HHClQzUh0AfEjPDQPdWP+0dO2gOVYhAgKZk 2ewGVj8MI32rBeGIQATP/Dh3ElU/FSfgzKBjiUDFRlfaZjxUP0iEDF8x8YlA i+04WnFiUz/PU+eqK3yKQHlhcwqRmVI/QCLj1Mn9ikCBFmHqAOlRP9tJqG9d iotAFxoymGE0UT9gcI7olA2MQFezT1c9lVA/D/A90sGbjECpTIugsORPPxPi m3VYJ41AbYOjgrm2Tj8B0xr3kqmNQMhq5Tnaq00/GR1j6cI2jkApaL1HlJlM PxtmzLmWuo5AwlWzn6ymSz/sZR/3/z+PQM4Opm3yvEo/bd2ZYQ== "]]}, Annotation[#, "Charting`Private`Tag$1319847#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {0., 0.06017175657687728}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNl3c8FV4YxoWGEKKUaFAp0pIWeigq+97rujaXa2fvvZW9ZY/sVGZSoexN Zql+QhSKKEWF/Pz1/Zxz3ud5/3nO57znkKENyXgTHR3dNAMdnasAsckspQfH Shj3Oyf24FlpNWdEbA8cSf6VxWE9kMkt8vnPvwddjtJae1x7QKzTTjK61YNr pyWXG3V6wM+nkX5JsQehSYJ72y/1oHrPpL7zkR78s+PskmXrwdWRn/sklrvB OdJuozfSDfrJ1Rvl9d2QLj0aIJnbjQHqovaWoG4waUybcBp14zcrS/Qt6W4w Mtrt2c3XjaPceXE8y13Y6rnlk++rLkTnLUgR87vwh+nE7niPLjxwNT5LUunC c+KLxPhDXTggaRph9KMTP1IDkjrrOyF8f851IKoTHLNfj9zW6cTziLcdc4Kd yDrS2Mj1owN1cX+SN1d3wNMnja7TvwO9O/f32ch1QCu4fuv6jg7sPrS7LmCg HU2ctmeYEtsxxGjwIEWzHQFRUhxX97XjiYWuNtt/bShO5AxlSmsDt0jNA0nt NhzmDCJX7W2D47Hlff5vWkE8lpB8P74VxgVBBpeIrci1ldskydoKbT+f1Zdt LdB/U9XeHdACvYuUV3ZXWrDMcpta9bsZjTpSz++XN8P6qxEd2bIZB8ynLtcf aQYhhUN19UMTNim9Z2dPakLyR409W4lN0N1bnzHL1AS5A2H9bQ2N2G5+mLHQ oxECz+pc4841onOxYS1+rgFFSlKnnuQ3QHiQz5mO2gDxRze3eO1twIoK08i5 gXrwz9i9PB1Rj0K26YtuN+ohN9aevJu+HhLBJ5fYa+vgeLnhsK1rHXi8amvF z9UhiDovujT2EnNDx3IttF5CXyXZ4+PgC7QIZH+2ILxAqWNEBHt3LSbP2ez4 JF8LZ45diRPtNWBedysRlK9BWmWR9ZPOakyMC48lK1cj1M0q5H3/c3yU4rMI 1HgOkbm81bTRZ/D8+Pa8iNkzBEi3hUr8eIqFuedTfV5PUS6kU724/SlOUukX C5KroJN4cG3xeBWuiLzr+K/6CbxWq/pMVJ5A6Ks3693JSpDy+OmtPSrxY+BN 7XfOShTFSr0XKH6MUc7Np1nlH+O9ZZJd6lQFRFrHf0zcrsDih7ivY4IViPQ1 Go7tKIdfj0XfH+tyWD0ZDd+1qxyp5+cMPtWUYdPXUAUzkzIw6Zl8TeMoQ27G ULjfi1I05vQLclmV4jPzPxqJrxTr6SoXHDJK8J7uWW3E5hKMR36dnbMpxrKb Zk/4yCPMdWvOGCo/wv4jSnJmDQ8RXfYiIP7SQ9ybvxE4WfEAwvufVkqeeQBm 8cX6grIiaF3h/rBTrAjvm8iPHKvvo4/C4Ncgcx8R+yz1vvcWYle8L+OSfiGK Zo0Xmr4XoPPteVPS7QKUepCcYvkK0LtcsOxalY+Tuv8y/6jmo2UP19+ti3l4 3JFlmxifB7LTRVLqxTy07GJ7vWU0F986Ug9238lFVDPPzfGzuWAgzmmcH8vB Z403mi+jckCc3Euwkc7B150W1y79ykareJM0+4NsBI/x0KYMs7H58nhXGW82 DonZVRoO34Nmm6LpXMI9lKZclpFVuwfTzVfadHffA0+IRbjQ2yyIfYiVy0zP Qu7rgXcltCwcV1sBQTgLJyiJmJnOxAfHC/H83pkQCS90ENudifH2BBHmsgzk n1qyjlDOwIk9ErL539IxJX7tkFRMOlit/72VPZ8OO63PxdkjaficJiR/9U4a jifmN7CLpuGNe2r637FUhDCe6Z2NTkWt/Yu6waupICmO3MhaSsGLmBtlkg9T cGPNvyaVlgKJFa30+7wp4NsuvEp5kwyG8yu/4uKSkWhiy0skJoNwKdbJhz0Z 5gJmHux9SficaLNvKTYJHXOzlfyUJCzX7+EL4dlYRwrH844loui0XE9vfiKy WJTnkq0TYR3i42t5IREswYcCJDclghTwQ4u+6y76f0e9Lk28C/2qJmEY3cV6 YcOvnDN3MZcvJ/p6PQHsozUy3T0JyJA/9sU3IwGTDy9Iz1gn4ErIwcZ/SMBP J9+rzzkSUH3szAzXZDxORXOe31YVj0fXBv5GhMYjISRHM0svHmrHlxsuicZj /Ny5RfK2eFR9MVqYHYkDe+vnrWsVcTDu3dPlGxqHrYe273Q0iIN/7vH5/otx UP21/CSZPQ5pEjW/m6Zj0f9FwotYHwv23V4yEimx2CnlE+DvEAsD8R3Zh5Ri wTISfpFbMBY/+LpZDTbFIldmnmvtfQw68uVuzTyJgdIdTcrh2Bj0htdKP7SK gc/Vy7U+cjHYzdLunn4kZiPfZYqM9DGQdCkVqPgQjY/nD7Per46G5aDimU9J 0Zg7H9tn4hwNxcHh6yLkaPTrf1y/cDYad1ef+9xmj4bGEZOnpz9EIba20/Vd ahS+pyQXM2lFwV/j5WTtng2aB9QtvYlEwNjSv4rESCS+8bf/pR4JV/0ouuo9 kaDvu5bJ+C4CV0hU1f7UCJhQTp88rBcB3uEEhb8HI/CBQaSXPBmOWbrgKdHC cKT6+DckWoaj5eHDBN8z4cgV6E78thSGFVs3uo81YXCtbNqiHRAGp3mGMU35 MDTbFLz4wBGG+d/H+mbehoLIuEPaIzsUCnlrZ+JuhULcZ6bujFgonkjJMaiv h2Abl9kWho4QfLJv7BFLCMHmDnf1eWoIMtRfxZwSCUF0SYXR0p9gOCtbPLzW Goy8vLOXuROCIc7EOGhLC8aFL2rnCGeDMdnyk6lyUzDGJSaWM/ruILvwegJr 9h141+lZ0TncQXfynXVnmTvYGiL70nb3HZipaHHNTd/GXuYJra/Vt6FJ9Z6w iLoNfTX3RQvabczpMDV/uXAbo6zed2ZYbiOOKULf5GMQZBLiTalPg/DRaqbk dWQQflKPoc04CMSL4TvPSQahNuTG/r27gtD1b1zJeS4QKw+TAuVbAiG4tz49 PjMQ2kEnrVTdArFdOPllkGogGrdu1RY6GYiKT2LrYArEF8UtJs2TAfjHOnXt WV0AeHikb/KkB+AYdYJvyi0A4hbWt/arB2DE7eXAi3MBcP6ktdSyMwAynkM2 Yt/98eWZxLttvf5oTPDqRok/KmvbR4cj/SHEtpLXb+0PqcO/KoRV/CHTw5j+ 8ZQ/wjQlf/5i98ei24Ci0Q8/vK93unxi0A8hwdlExSd+SBNcEWxM8sNbt3hy lIcfdgTL2Jbo+aFMdW4X/1U/dJY2ffx0xA8FAsnOf5j8YPuU01H7my/iupd8 tw/4wqdT8/rmp75Ibxm3lU/3xW+m5dJhf1+Ihi0/LzbzxXZ5kxudyr44lMnN KSLmi2YfrdH+fb4wqd1vX03vi/bY0yc6B3xwkvWlWFa2D5JN+YoW7XygtvRU olHaB9qmpg9YdvqApSX6RfdHb7TxkeUYH3vD8n3+8eIgb6iz2dxsV/dGZnlS sqqQN/i5jvIqrHkhJFb83aNeL+S2H51xy/XCMy0D80euXjB1ibp9XckL5zXc Xa7xe6G3dYt39rInImcFpwy6PRHn3rPdN8cTR10HFVbcPMHw8hN3P8ETuUbG U/THPNEiSpAMX/cAxYC3wPKNB6Ty79Zkl3hgYqrmgEiwB7iS7npuN/DAtV/b Qy5d9sAwqZLxGacHTsVUPb0z5w7O2VCX3FZ3NMi+4t2R7Y4azr0RjZ7u+MPx orJR3R1iY1nhrKLuYHy4wpa1wx0JTELX3b+4gZfXXjK1xQ3VIt3M9DluGB0q 6Xnk44ZfnX1F6TpuUAz41dl7yQ1sD0uMrnO7Ia/iZPHaT1e81aOf/tXvCpWE CfWTZa645+wplx/litWe0zt0rV3hRze1SlRyRbNTn13gCVdcLr3Ys8jsilLG 666ZX11QtPvVu9udLjDi5ze+/2CDhwdCt4S7QGA2pDHd0gWlR/tCrZVcsGD5 Wd/1pMtGjsOan7O5gD9I75zYd2cUZM4pTvU746FoaEzvY2ewcsrFLNx1Bqlv ZuS6mzPujBczD2g7w27xfFn8FWdExKmbhh1yxiD7n7YnjM5QKlq03z3thNLN 3xiKOp0wPS/Ba1fiBKJpk+6tOCecmX97K8nFCXNCx74uazvB4WWcX4iUE4Rd D71WPOKEpw9HoqW3O2F5oknLdN4RlqWPRmoHHTFYL9ok89wRdIK5z1YyHfHt +Rfzj0GOiKry9ft9yxGOZjqPJEmOkF8eTym76IgQhaFl1QOOGF9StD+8xRGa gvlP+eccsJTo5qY86IBh1xhaQbUDflwfOyKS4wDucFeb0VAHWPkEzdfaO8DV W0atTcsB45R1lX9XN6ixNUpf2AGWQmX1XzkdME8iJmav2iPP5dLLgE/2sJd6 Mh3ZYw+lEdbGxip7bD/ss3bonj1+X5G+cT/UHgyTASqajvb4j8W2+YyePaKP Hdc4e9MeUS96nmidtQe3p3d0Ea89YnMp8Ye22sNsxNXu5Xc7tCizvgn4zw4j HNcdrVvtIPLZ8Ld3uR1kBSt3VqbbIXA1x549xA5mNaWt0Y52mPDyqBej2kGs r5VtXcEOSPUznL1gB1XWBvM1ATu4PR4cOsNuB4FUCfWQVVtccX2WwTBjC5Yp Rd2sIVsY5EBGv8EW1c1HN0uV2CJqZZp4Nc0W9lWN/xmH2KJVjaBR5GwLi7Mh LmxGttj6sGcunmiLJY5Z68uwxSZ33pL1E7bY7MFGm+SxhXrHHKa3bfjaVy/t +maDxwfZEpM6bDAZJdqjXmADcdGU7aqBNqh73VsdYmCDLYdDSCtXbODWnylV wGsDZn+BP+F/rREsqb3wYNgaMjldqQxV1ogql7aPS7AGQbLnq5ajNc6vDvpp qlrjnSxLSeRZa2SY+s//4bDGRNa9upTvVqDWid6z7bMCk5Exh0eZFRT/a4t9 FmOFpXKNQmF7K4i+cXvdS7KCp81adqGoFV6S+BPKuaygJXRX7NsvSxCuOO/Q fmOJwDmVB7+fWmJ94GByS4olKrIoJk2elvBO78n+rmeJX18GR5WkLZFvL1A6 LGCJrpixgpgtlhD1SddxnbkFD2uycXjXLdx0MNHqLrmFw4LJQ5fjbsGQi8t+ 0PkWKqd1u5K1bkHVXtM/9MotCFlcFc3nv4V01iKf2S23MB/qwKT71QKFV3sd ll9ZoHNMnFb92AKWBFevwmQLeISHmL/wtoAAoezVKs0CFvctNGlyFhiyNS77 ftICFwv9Agq4LGDb2OEZ+NccViP2CsFj5nj+vjujvMUcVwMUBRkemUPI1+Wu W5w5jtO+ZOxyN0fFXeWfr6nmqFOiKNTeMIeNdZVm20lzeLsffb28yxzKLkRX hTUzFL5597th0gypZmQOvS4zuF+77Mn72AwWLXM/11LNIJ9QeoE+0AwMuZmb jluaQUaxmN2ebAaKzT2BEQkzcOZv/2t+xAyqPtfIe3aYoarHbHFqyRR2LJTk 4VFTcLVmbfvSZgqLY/GMvOWmQOQJonWqKdIvcFaMBZrCZWvKvL21KQx1q7oO a5iijJGeY0naFO8vPwr4LGwK5e7A2V+7THFKZYbzMJ0pwk27Gmy/mODbhUcN 7wdN0P8+fsTopQkubOL8wFxkgp/Jl6N6401QlJ9RU+5jAi8elbPlFiZQGx6q 6VEzwe820ePbpE2gv/2DjN4JEzy4UD3Sy22CPR0HG/QZTMAR21u3fd4Y928u Ffa9MwbdpSPyj1uMwbOJ4lheboy9FpPLnRnGuKoekUcXZgzHTktlgosxnjGu Nj6nGUPrEdswCMbg43+tMyphDKHuocPJxzd8Er7SW+3e8NGX69BiMEZCnqOy 4YIR/A/I0gJGjLDNY+K/2g4jHDzeFsXx1AgMl58TvPOMwCTf85Mhzgj7vY2J 2b5GMI86IaFpbbQxt/CEHdMxgvoLOy52eSMcMKouZrtoBFGbjtOCR43QzfXM jsJlhD1+0zfT6Y3gJUEXubJAw4nUuT12ozSsn5+oX+umwdhew+BeDQ1XGZl6 tR/QoBz+8/OJFBpmT+r5cIXQUHixy36nKw28bVtTj5rSYO/N20+g0OAgpvEj WpYGkWr515/P0cAf26xBOkyDyZP35AFOGs6YjOeZM9AQ/e2W4K5FQ0y6EyuH PhrCZqpQ+EG/IUTvtpskNBjij6zCtfhyQ2z+ujmjINsQ0iEc5FexhvBha7nK HGAIB9HqG9oOhqApt0m9pBli8BIjywWyIbRPNN9pkDHEzbtZsQZihnBas2Dm OmqI6eELfW93G4L9lmZj+VZDUFKp9Rm/DcDXw/sgfcYAsdWp1JJ3BhiUOd4w 0GkA6g2V0u21Bmi2HmImFxtAl7G+siTTAOy15Ci+GAO8DWR3T/c3gMbNMvVT jhu66tPbB4wNIHuw2SFY3QCtm8edVeQM0McsuiQoboDPGXmDHCIGWKnQ+8Vy wAAUv5fiezkMwC1mFHaewQCi9wXajH5RIbTxz86ZooJSa5e8+JaKuszeJdUu Kkb2f+lvekFF+/3KndfLqHA1pKW+yaEit16b5HaXipiL4BMOoWK699P4rAcV dh16t19YU7F8fmEh04AKpfjd22LIVEQaBZbH3KCisOnQm3uXqVDfxKJbL0JF tFCC8MJBKnzzrgmd5KLidG2flMdWKvppWsXFv/RRFzlXFPifPvpyGG66NuqD IaiAElKkDy2jG4VVMfoIG67YweCmj8SF/Tq3qPoYk91HW7ihDypr6lLMqQ2d 4PyMCrc+DM60sAut68E9WhgHp/RwN/C23NlXeqg7l8xIrdJDR62P7P1MPYhL l4yzButhfvFncYStHopEnAKOaerhj2uR2AfpDeYYpRUL6WFff2tkMueGPlJh MmNVF+fGnzm++KSLcYOTe3736IKJuKtA4akuZoqF/j69p4s6NbcvCNOF1y4t 4pijLi722W9L0duoy6ycsbypC6cZ/VcaZ3XhHfcnTpdXF8H7yTs9tuiCbSDk SNmCDhS/rhauv9NBdR3F1aRZB10rt20+lejgXkuDhWeKDqY2BV4XDtLBomfw 6HcbHew/3bezV0sHcL9X2yyrgw9U79r+0zpgHRBZWNqnA8/5StGzW3XApaRj EvhDGxXX80zmRrSRI6fKadWuDXFBEwWGSm1wmfN8K8nShlfh9Dv7cG3kTgd+ V3DVRubiCIe4kTayn/PyShG0kfU0Z0FLYkOnscM27Jg2Lumc9ujj0sa4/K7F E5u0cf2/9afpc1qgv2VeLPBOC4xmmypftGjhWe/DYusKLRwrDPISzdKCjf07 BtYIrY13VeTwipsWdlqJ1a+ZaOFKwbtaLrIWHixcXIO0FuRm0g19TmqBvSu4 r3+fFppW7otcZtLC45iPWpVLmvj+7ZqkzKQmPFXYnn3u00SmfmV52ktNqAwM 7TB5pImI9SvlV1M1UeI053c2ZOM8i5km5qK5kbvvlxWMNSFYIzDvoKoJI0Oy cYm0JhxsDALWTmlCnF7tlN5+TdBPGan0sWhCR+pHO2VFA3fPhAR9m9GAV+iY WdKwBjId32qRWzXw9JDPVf4nGgj32LKVPk8D7we7oxbjNJCWqtO05K8BWRZa OLO9BhQ/P3t1xkADNocMnc0JGqDlBpqVQwPsq3aRLKc0sIMru9dlvwYa5iu4 f7JqIMLIStFvTR33B5+rH5hTR8OXYv6e/9ThQPG/G9GljqshcWm6NeoodDTZ f+WhOnhu5m4+laYO79P7JE6Hq8OZ+8UDaU91tNByr9As1THxjGk0XkcdcrVK Lq8V1XGkf/G7oKQ6XEazL4WIqOMpx5FLf/nU8S7d9L37DnVUB7ozM69T8JkS /bhonoKx32v1mmMU3DG9fGBPHwWbvD5UfaqnYLUy16WhnIKVJTP54hwKDEjH eO/HU4AeurflQRQsCp2x6nSmIOr+nuYfphSM9J/vPqZJAfXKxlQlT8GUZmVW nTgFc6cfy/KLUFB07qhy7H4KNjMeL2Bnp2BW9I9k+iYK5rl/rF9YVMN/oRHv xibV8LGKVp34Wg3ZE0LROm1qqBCrun7quRqE/f92sT1Uwx1ORo5/6WqocaTb 9DdKDT7il8IY/NXQ2s+VweOoBn/Z3cdgooZkphFuOw01cHce1imVV0P8heaJ VYmNPu1l6ZRTaviU8Me19pAa+rlajc5wqcH8uz6hfIsaqgYPC0v9IePt2ZjJ d1/JkN0jbun/gYyty/1l5/vI8HUUyFtuJMPgAsf55idkNFSmkDPvk1HOMLwQ lEbG73t//7pGkcGjpERz9SejqUuUJ9CJDEqjEHuaGRnfvFrF6rTJCG2q8lhQ JqO0qL7/xFUyRKmNwk5iZHjQV7i0HyNjxCqj4DgvGUlsDx4msJHxX9UuV1YG MuQsz65EL6mi+bKl4MEvqkhlkf32fEQVM25q0gZ9qriTrriTs1kVQjPzpN6n quj4w/Mr6aEqiixffrHMUoX+48kjivGqCP1WkHQ+WBX+z8TFTniqYnj79NwJ W1V0bd5eedFIFRf7Ob1UNFTB6Rh+0U5RFd+z2d6lS6liR7YSeeicKt7vYU7h Pq6KqK8HM4z4VKHG5alaw6GKak++R/u3qCL5zd6MsL+kjXkkeS/DPAlC4sM7 gyZIeC9zxItjmASGPx8VCrs22HbbXq6ehBHW5MmflSRQvj1OKCoi4c6ZYDeL TBK+HRwIOBdPQpWRWeG2EBJkxk+8/+y1wQRu9lf2JDC6nhGvNyXhk3oCoVaH hNhnNjKNRBI4qv5tH7hOQvhoTNKsOAkHuEPH2c6QcNxF853EURKGTwa4OOwj 4R8t9VEFOwkKXDfs1jaTUL8kXkVYIcJNV8rx0QIRldzC6ZyfiZAjTxwNeE/E yUDqltVeIm5LFp32biGie/9wClMNEWrlHJczyohgI0UySBQQcZc5YfZjGhHe gZ5fYmOJmPpQ9EMheKMuI+EvqzcRL8Lrl4cdiJjObBh9aE4E3ah4YYg+ERY3 R6/bqBExUmVVpqtARG7XkxGyNBEXe5PqyReI+JdGp6orQsTNoJk71gIbfS7r UoL3ErH02OFxERsRbTyqSUObifAoPPV72yoBXUkKHTI/CPjMsswYMk3A8s+o jKEPhI177xchNETAboPrbXc6Cahcp8nO1RNQsddmRespAbcJTOO9xQSkh43P KucRIPaxYtdQKgG+QXIkWuzGfpFr8p9gAvicDn9M9CHAY1xC4IozAW0lL1Rn LQkIUq6wyKYR8Lj5tD5ViwDGbM1jR4kEHBrTqV28QcDhYadd7VcIcDw+K5gv RsDVfM7Z0BMEPIeiposAAVt+bDK9xUNAdOlDFlMOAjRJvdIW2wi4uPZ7Zeaf Cl6dTbbbMaeCcuqrAen3Ksh8RbczsF0FRq/u7xuqUsHLGN2xc/kqGGZsUcmJ VwGpOEfzYIAKfG93zz2wU0HBwOlVWaoKRLb0OX5TVsHW+NYbeZIqUBm6Zmxx QgV1Y6G1kvtUwGO2LHVguwpoCX9Gd/xRxpbp3WEs08oQ3vnl7J43yjB4zd92 pkUZlZ+CxDUrlRFbO+sVmasMsduyvn1xyjj/PVaUP0AZiXtmg33tlaGt62k3 a6AM/hsBH4yJyvCmketnpZRx/4g6s99pZVBbthTzH9zwP/wjpY9NGT451Y0R 60pwZNvLoz6vBC/3gSiRUSWoH2jdzfFKCdevTmRteqkE551CB9eLlZAWVnqb KVMJleoZLQejlLCjTKRfxkcJsTIPUp1slMDG5byrQl8JfzTWz6ypKOGAaceE qpQS+qIs+apOK2GBMaLv6CElBNZM/sjmUMIp8hVHYXolHP/ldLPuhyJYLroZ Gkwo4grTjcodg4o4HjEv2takiEXG+L6ISkUcrDDx089XRH5d0XnJREXQ8z+e PBqsiETPKW9eN0WcZHn+m89CEc+Dy2SFtRUhwGKkKaOoCPPfLoLmkopg+JCT k3xSEYyGxfVDBxTBfcTaiY9DEcxF7eW29IqYkKiyerWogJW3EimXPinAcpft iZLXCgijd95zuk0BZvsCSDXPFLDt+Pse1QcK2C3c57eUpoCrUq36uZEKuBN5 UlfXVwFzwnesD9kr4L8t1OAFmgKMX1EyO9QUwD3GXVhyQwH7BPUSMy8pYJht 0SBFWAHXLItXM/kUkKfnrFPKpgDra3Du3KQAYiozvi/KQ+nX1weHPsuD/e2/ Mp1heTiW2V7P7pCHRJWH3o8aefwPCKF0Ag== "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.8837234962591963`*^9, {3.883724390909018*^9, 3.8837244220350122`*^9}, 3.883810880164082*^9, 3.883812928206394*^9, 3.883816240328163*^9, 3.88477005606642*^9, 3.8847718077663813`*^9, {3.884776288180044*^9, 3.884776296428225*^9}, 3.884781651288433*^9, 3.884783715413142*^9, 3.884783866733839*^9, 3.8848451181350594`*^9, 3.8848452019532146`*^9}, CellLabel-> "Out[138]=",ExpressionUUID->"7ebe831a-752e-4921-a44d-666230555ab1"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBgQN+/CFib1JlAgAAADcAAAACAAAAeRfg4OU3V0DWB3UhRLjRP0mObgTS XllAL4KKmEME0D98syEapc1dQNuiBXJsEco/qjWk/uITYUBZIS8z8FzFPz2N u+iCG2NAbbGYKd/nwT94SfiV+E5lQGeIX6Se9r0/WwG5u/1cZ0AigLX1B7C5 P5CCM8ipYGlAJaMRD4dRtj9taNOXK5BrQMmfqLqYWLM/8kn33zyabUCiGxIA 6A6xPx+QQOsj0G9AH7Etowb6rT/Pz6Hu2P1wQBE2Aufxkqo/Y1Xlo+cAckB/ a6OMKuGnP0uNuzrhGXNA6Mnv4X1ipT8Hw9ONIiB0QCwLIV4SY6M/F6t+wk48 dUDKbrk5w4ShP9B3hmpOU3ZAawJeCSTdnz9dQtDOlVd3QDmq4fOCRZ0/Pr+s FMhxeEBEhKqqSMyaP/I5yxZCeXlAXUykdNrBmD9QmUaMj3t6QPpFC5/Q+JY/ AqtU48eTe0CA7TZ4Hz6VP4e6pPZHmXxAPq94yibMkz9gfIfrsrR9QC/6UDTf Y5I/4yLHU/HKfkBbq2D0+iWRPznHSHh3zn9AQpO/nWcZkD/xji4/9HOAQMbY pqnCIY4/MLlZoFD3gEDan/62O2CMP8RVM7sWeIFAGAK8LGTMij+CS9ZG0gOC QDxvqcbkOok/KkCasDGGgkDE0mUCD+OHP/yNJ4uGE4NAoD5TMkWMhj+32tVD f5eDQETYf2drZYU/x5kytuEYhEBS4BM1o1mEPwGyWJk5pYRAryKOrK5Mgz8l yZ9aNSiFQOiZXMDvY4I/czmwjCa2hUA/ecMxu3mBPxYcb3iBQYZA74ZmnVKk gD+i/U5CgMOGQIgwzzVV1X8/WDj4fHRQh0CHHbxgZF1+P/hxwpUM1IdAns1z uFMVfT/tHTtoDlWIQDj6mh5l53s/DCN9qwXhiEB96/Q8D7R6PxUn4MygY4lA u2YdicOmeT9IhAxfMfGJQNMnoDxnlHg/z1Pnqit8ikCw3H4MZpd3P0Ai49TJ /YpA/LE7Uua4dj/bSahvXYqLQEJ7RcYr1XU/YHCO6JQNjEBGuGe7bQx1Pw/w PdLBm4xA8dbkyds+dD8T4pt1WCeNQKbvmIA8gHM/AdMa95KpjUAllXYvs9dy PxkdY+nCNo5AouKqdWwqcj8bZsy5lrqOQO/mOazokHE/7GUf9/8/j0ChpQ4A Jf1wP/Omo6s= "]]}, Annotation[#, "Charting`Private`Tag$1319908#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {0., 0.27687171237277874`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwBgQN+/CFib1JlAgAAADcAAAACAAAAeRfg4OU3V0DWB3UhRLjRP0mObgTS XllAL4KKmEME0D98syEapc1dQNuiBXJsEco/qjWk/uITYUBZIS8z8FzFPz2N u+iCG2NAbbGYKd/nwT94SfiV+E5lQGeIX6Se9r0/WwG5u/1cZ0AigLX1B7C5 P5CCM8ipYGlAJaMRD4dRtj9taNOXK5BrQMmfqLqYWLM/8kn33zyabUCiGxIA 6A6xPx+QQOsj0G9AH7Etowb6rT/Pz6Hu2P1wQBE2Aufxkqo/Y1Xlo+cAckB/ a6OMKuGnP0uNuzrhGXNA6Mnv4X1ipT8Hw9ONIiB0QCwLIV4SY6M/F6t+wk48 dUDKbrk5w4ShP9B3hmpOU3ZAawJeCSTdnz9dQtDOlVd3QDmq4fOCRZ0/Pr+s FMhxeEBEhKqqSMyaP/I5yxZCeXlAXUykdNrBmD9QmUaMj3t6QPpFC5/Q+JY/ AqtU48eTe0CA7TZ4Hz6VP4e6pPZHmXxAPq94yibMkz9gfIfrsrR9QC/6UDTf Y5I/4yLHU/HKfkBbq2D0+iWRPznHSHh3zn9AQpO/nWcZkD/xji4/9HOAQMbY pqnCIY4/MLlZoFD3gEDan/62O2CMP8RVM7sWeIFAGAK8LGTMij+CS9ZG0gOC QDxvqcbkOok/KkCasDGGgkDE0mUCD+OHP/yNJ4uGE4NAoD5TMkWMhj+32tVD f5eDQETYf2drZYU/x5kytuEYhEBS4BM1o1mEPwGyWJk5pYRAryKOrK5Mgz8l yZ9aNSiFQOiZXMDvY4I/czmwjCa2hUA/ecMxu3mBPxYcb3iBQYZA74ZmnVKk gD+i/U5CgMOGQIgwzzVV1X8/WDj4fHRQh0CHHbxgZF1+P/hxwpUM1IdAns1z uFMVfT/tHTtoDlWIQDj6mh5l53s/DCN9qwXhiEB96/Q8D7R6PxUn4MygY4lA u2YdicOmeT9IhAxfMfGJQNMnoDxnlHg/z1Pnqit8ikCw3H4MZpd3P0Ai49TJ /YpA/LE7Uua4dj/bSahvXYqLQEJ7RcYr1XU/YHCO6JQNjEBGuGe7bQx1Pw/w PdLBm4xA8dbkyds+dD8T4pt1WCeNQKbvmIA8gHM/AdMa95KpjUAllXYvs9dy PxkdY+nCNo5AouKqdWwqcj8bZsy5lrqOQO/mOazokHE/7GUf9/8/j0ChpQ4A Jf1wP/Omo6s= "]]}, Annotation[#, "Charting`Private`Tag$1319908#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {0., 0.27687171237277874`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNV2c4FgwUtRpGIbTIqlQySopUTpEIIaNIKWWWxjvw2nvvvffee2WPyt5E WYmICF/SUH1+neeee59z74/73OdcvofP1Q2pqaio5mmpqAbC/0raa02hSz6s 3VxzClNXTlyrVZ9C5eCun5pqU+BMeKB66cYUmgZmByyuTyHc750ojdwU6gxr BLeqMZu8M5tVagpex1cKI85MociD5gFJaArOFj3f0o5MYQedQ9sprimQqh9o crBNoXWZcEyLfgoX2sonP/6ZRLx618K7uUnQ+g+fCemdRI+2SRFL5SR6D1T7 3I6fhCDrbU4zl0nEvCuZUzeehHJ7exqL4iQk+mPPZZ+chEVybtoRpknUVD89 5rY4gY8iWfv62iaw+GZkY1fGBOiMrJ5ecZlA/VWtywS9CZzefK2dIjmBg1Tf a8dZJ2Domu8jsDAO7zZjNtfGcWw3VkrdjBjHlGRyfvjTcQQ/elypLTOOw2Q7 3et7x9FHKZN9/nkMzQOswn3VYyj3Gvtg7jcG9bZeSQO9MVQZybKliIzBjVpF 9/zf93jk9YdapOs9Wntc/3jEvId0H0lexXSLv/vtnce59ygrZyq5QPseve/m W1/0vMOHGcE9IjHvICst62Bt9A5fmPt+3j39Dl8dGR+N/R7F9wviwf9ejYK/ hE2jK2AUtoEOBso6o7hSs2jhwj8Kd53tJ60WRzDAdp9FvHQE6SwHU1/ajsC5 N1+VTW4EKldLjK/uGsGqRomg5tBbdDNxNCjEvYVlOr3EccO3SHbzcfsh9BbM eqYe9d+GsdNP749zzTD06iV9FVyHwf2VoYZDeRgv6p5ufGUbRq1Il/fY+yFw 5zWnTKUMIc7IWY3abAgWfdccZMWHQKs+/idncxBp46es8GoQ9pZztjT+g5jT YyT9vDWI3U0NKcd5B0HXtONs6OcB3ArxFrxcMoBXDpaGp+wG8N3bKNVEfgC2 FEWXL6wD2LlsZlM/1o9npuYfZzL6wVpv/fU+qR/iA9xFZ9CPpUul+x4x9kPC 4+nKyts+0GaEfZpM7cMxUp+LGLEPAymmpxbRh3qOuDNMu/tQ8/VXScRYL7LU WyoCcnrRcFbr6HfrXpzYG9rcqdgLGi4TKQ7OXrCVPBZIftuDmYBaIq11DyqU Y9bVDvUgpe43i19jN3zFuZerjLoRcKnUfpSpGwUP2O2XSrqQwUEmbuh2IV3t eP4Pui7s+L6otpbfCU6/k9dndTrB6Kel1b+tE/eTRLa9LO7AjPyJ6tgHHVgQ asizZu4Ac0H/vEZ9Ozw2aFSPv2iH136OmA2+dhAzVPQbB9uwojzM4ubZhk9t e9avXGoD1ndKbKy1wkqqciIlqxVfjpoPXtNvRV7wlemJA61Y2s1f9njgDf5j fzEx7/cG3ZXHh25ffwMXgsRG2bY3yMis8aZufo3XDar1kk6vESh/sUDn8msw 73754CHVa6jM8rxRa3yF0GaWFn6XV/h2IOX4sNwrmBxzLjehfwXKQXq+ka4W 3H97ezd/SAv+u6i//6pOC869Wuu6wNuCYcOyku3zzSgNPSaXXNiMFt3AdUbr ZpwyXTx15WozbuzqvgvmZrw/KDdK+74Jrkk51L4ZTViwsxYeIjeBr5alaEym CQJD5IkE1iaslO3ezvWhEZwv71iqFDVCyDHMSdy5ESaVD8gdGo04t/4gkUWg ER7+g7epfzYgK/vw1+jOBhx1Mq19l9gAluXvXHXmDeB91v1ERqkB+nEHmAz5 GvAz81TbtZV6XKRha1qPr0d2Iedsn0o9PLfR8w7/q0Pr62azP0V1yDxL3S9j WIdzQ6OPkg7UYYek1lX2nlpoHks/H+FWi/f7+NSPXKpFTdlNy4r1GrDdj9yh XFCDYwMGhHHTGqR7uJ8xPlqDCm7y+MyHarxV8mZWT6iGsLmMTfa9anDf1//4 masaHqLcXEzjL9HKIcO4K/4lbs9czpy//xJZc4qb0fwvQX1Nm5/3UxVSxUTk ydlVWLmklxXyvApsjJejrM9WYX/JLOXoZiWMOBlrApsrIeFGNV/pU4niqMCQ aM1KuJ6dNhLjrkSv+C1Ou/kKPHfQt7EsqUBCyKOH3A4VmO2wqnmmVAGhGFV3 w/0VqPix2Plvthxvz9jmSZWWw9OQS4vNpRwppXFUHurlCE1Q3AzmL0eFbVaK +H9l+P7gkr5pSxk8ouXyRcLLULVos8fZpAyVhX2H9S+UwWS/kHvb7jKwRvIs Vk6XYrAum1W4ohT0fiuvDvuWgkxYm4rWL8Uck6JCoEQpbN9PL1HvLoXNVEnP 0kwJDhGsNm7WlOCC5HNrodASMPgyWNmYlUBMuIz7klwJ+Nw8k55zlyCAQi/D +qMYjB9mFHn7izFXn8sSk1uMDqnwVQePYtQSJLW6HhaDcFE510m6GIJjZi9i DhbjT97o4QMbRTg4L3nz50ARuMx0faSKijBUTv30vX8RHqwnRb4zK4LCNdHK c0pFiBCatl0+UYS28zQJVPRFKForHH8yX4j3a2V/RVoL8VZNuVshsxCycqvc lZ6F+Mwh3mZjWghtOY+cYMVCtG5ny/59shDt6575ZbsKEcS7puowWYD6aVWO 06kFiAjtTLA3LcBvkYFFQ9EC+HIq/5tZz4ejlcbnnzX5CG9ZbUx2zUfg0HDW uHI+zM7sa8/kyMfFnEUNmsk8dB8hOc5n5uFwlkWgDikP6QGinRrSeeh6zewy RJ8HRiFfxvGhXHDPzTeZJOcCNTt2WT7PRZaCpOb2S7mI5mKg52DMBXU6b3LS aA7qJnbGZmfmQLaIxUqEkoOC7byNJxVy8O1FCHXS/hwcMtjf5fs5G3dWvauX XmaDeWPQtMk3G8mV3Vb097PxtI83uPF0NubNj+l9pstGzvdhP4eRLLhQkoac c7MwM3RvedUxC+xxomEdWllI4nnhs/tkFogekeFVVFnomhVy7BjOhM/pTA7Z vExonDA9zuOaicvMiX56upnIPnOJm+pMJgavTpXTMGaiTadVwvBjBprzW1wF ajKwQC/gJheWAdX6wsONzzIQpxSgEqmQgRVbuY02/gwM86Xu0fqTjsfnaiMl R9Jxx3PElVSSDsl2kyG6gHToMFP7Lj5Oh1uWYp6AfDq+6f++XHY4HdE7Om+G U6WjX/n5Uut4GkaWPY8oV6chly+NgScqDZoXTpVftkxDT9Szy4VaaZiqI78y E09DZByPgTlbGkw5dkm3raWCLiLU0rg/Fee+1kuoFqfCTvxqpkNwKnYOWq9v EFOhXH1HpUIjFbtiCDM14qmouzK+uGNvKuQZ5GIiNlJw697AySejKWCQFR11 qk7BIo3Fh3dxKejoFXczd0yBj+vDHTcfpaBaVyfP7FoKLJt7696cSEHgibdu +rtS0DXQoXJ+NRkWNdomKkPJuEwyO5xYlYwDNOIDwvHJ6B9k7/runIxPKekm v4yTwaCf90/iRjImj7It54sl4/GR6SC9/cn4FimtdO1vEjRqH9gaziShs9bf q7o9CccL9o7KFyXBxl1hgD4yCWF7XkxTOSThzEY3UcgoCQ+zw9d8biThBHm6 j/tsEv57UeQ8w5WEwfApyhhdEq7XHRHcvpSI6Hy63fpDibAXGYj7UpuIYwey NDPTE0Gh3C8ICUiEb6qXUD4lEYqmz5U39BMhIbYj6JlSIs5fWrFjO5uItEGz yFnuRHAH3TWe2ZkIHfmnn7g/JUDu5k7fzpcJuL2jbLg3IAG7fXKmBA0TkCEh 8GZUKgEL4beyx1gS8PnJnTyxuXgcGTz1/V1tPAScCvIGQ+Nxk57yj9ssHlXq SweqZONxa98JkWTOeHS7rD4f/S8OQav5HHqdcbCu0dcWTYsDzdlIkrJ9HK4W GKSV3o6DVYGGiPHpOMiKP7z5iDEOT3m+aWTOxkKttt3ubEMsHj75vZ8hJhZi ep8IRy1iwe0h/Nb9Ziy2R+dECQvHQvjME6YD9LGIPBTvqjAbgw9VoTrVjTF4 41Y28yI+BtYtZCcTmxiUyCv7JWnHIF+nxJjzXAxW3+wlDrHFYGx3H3PPajQ+ p/Gn7+iNRr6ZYKx9fvTWvZ24c8YvGlOOtDeOmkVD8tTxSQ2laDAExDjUCUaD VcM43oAhGgqdCnlyC1G4fzqbR789CtcZYx+XZ0fBvL6bTs4nCkaSvkZMZlGQ zC2iZ7oRBSanLFNZkSiEqhjSFjNHIWfzttbt1UjY/X0+KTYQif4s1sNXyyJB k82a4h0RCSv/go/brCOxSQp8XHY3EmKtVXWRiET6MV+TAv5IMGnVrf7YFomS 69qz5M8RqNXL7+HvisBD/7vSNEUREOy60rAnLALS1jazGlYRyPr0AK/uReD7 mv0DI5kIRDWFjJ07FoEFV2+Fc0wRoNewlDJYDYcYf8j1huFwXGuX2K1YE45+ njE+6uRwKPCx8Mx6hOPbOauk9afh4HTrlhPTDAeX2lBWtFQ4hgj3zET4wkE7 dUl4aUc41GRv+g0vh+F5PFFkYSgMi3TWJcdqw0DRP9/gnxoGZiWrn9y+YSib X6cbIYXh8UddryrdMMwbyok0y4bh0wmJ2G8nw/AkOM72BnsYPve3WXVthqKa /6s0eTYU/zZ5KFe6Q+H9RKlfvCIUMnpSv28khmKcyS/J1ysUM48qySvEUHDa 0h61uhsKFS63RwLXQrFLjm96QzQU0q/dNZYOhOLohNCT7XShyPqgNi6zHIL4 pf/0kkdC8C5xJO1IcwgGJxxN2vJC4B19Ui8wMgQ5Wf3SVi4hsE043uzyLARh BeGpBToh4ImUitu8GgKDkBnjx6dC4KfG0fCDMwQm//3Wz9gRgtWDZAaL/4KR vExraTAZDBGxd4bEjmCU3O8MS6gIxt5WzdeLKcEIqwqsuBUYDKFcacEp22Bs kGomPUyDcdpqW/SNW8H4s17IeVo2GEbnV46JnQrGvhVfZ7VDwThJnPvqwxAM ib3r4jMbQfDykt6nMxsEWeGJuwv9QQil2HdGNAQh9r62sH5+EM7Vn5a/FhsE vS7d6WveQbjpX/TmISUIe1XCG6KMgpDJ/S18UTMIxnekOLRlg8B+8u72ydNB mGXvOevIG4RVN6/nF5iDMGNK7cjyNxDJjYLi/74Egg8WOjvGAqE621N7vCMQ wzlxoo9eBoLm45hteVYgBsKcLfijAqHzO2Yx3TMQJxNNc2UpgfhCSvD6YRwI TtdHmq9uByLupfJElnwgvibo/0yTCMQ07z5K1bFA7NFWFZ7ZF4imO9pfju4M RMKeYdY/KwE4+1oj/31fAJqrcXuuOAAMTvblPKEBUKRptHA1D8DNG86yHLe3 eN1tbX2SAcidVC+tOhgAAp9ESeemPwqHQGaY9MczupfpxEZ/nF8r+EWX6o9z LHO8je7+cFkbb0839UeLcnt2mbI/Qr6Fk5ZE/XFx4cPIDTZ/yBv/8h/+7odf axOKHu/88Mb2QtP9Oj88sjXOuZ/sh7Z9BrXu7n5oUnlXMPjYD+JCBy5cV/XD +ibb/pkzftjn+4Aqbb8fGgzO5vv88cXNAyZjEdO+oAl8cq3tjS/yNFUyefJ8 8fFrZV10sC8g++WaFMUXMQv1f//c80VGcmLqrKwvJEr9N1ZO+OKNAVcFD4sv jsuczCd894F06yuPT2M+0KXZxWLf7AOv9x07JbN90Ft5W5w9yAdi2wO09lB8 INH6VlTsvg+oxbg9SNd88AYDPMPCPijUWqzT4fAB08exE383vdFOnyDQPOON Q4qZNpmd3ngmtvQ1r9QbQmyTigOx3vha/lhzv5s3DLg3Bm2feuNlc28g1S1v bLIz6qZIe8PE/eYPg2PeUDKaE5Nj8QYVp+uQ7E8vrK3fzHkw7QVxhiWHmA4v JGx/yPOt1AsFbMK3HsdvYank6h8PLxjnjtXmE7xwY3bMy1bXC/N3TQ4by3kh bs9+nWeiXmj/ufQz6IAXJpc1hvpot3QLDlYLL3tCcYRikzbiiS8T9HOSzZ5b Pr2rey7PE8+qj9AVR3rCb35QO8LFE+mlNAkRz7by585kFet4wjNcUXH+qifG +H20JE95YrtBaHwypycEzj38KbDDE0MflaRerXmA9yrtObsJD/S8C2lUafeA zW/94vPlHvizfGLiUrIHnnP+O6jr74EIESUEWXugT7GLb8rIA7LnoqLkNbby vnvt38Bja//+pd8X8sC60sMvzAc88GM9RmBkmwdk/umKVK6547pR0ljBpDsE tV8y1He6I54gGzxb5Q4izbEbhzPcUacey0EJdce9BYHXH53cofQu7LzRc3cw 7qRV+nfXHbtt+ofyFd3xN6eojCzpjoWh8NdqAu6wuN4wI8PujpbGki+KNO64 Vn2p2mTFDZqdL4RjJ9yQ+y+Vd7bTDd4nRu/IVrvBfzD0c3mWG0q4qUIQ6Qb2 F85nx93dUGfzqiDA3A2k1NKpWwZuWH5omyGm4YZPeV4f+WXckPHIi3zstBuu lBlLXeZ1g0KIKsdTZjec4sqezfvriqNM3L40y64wEgn4/HjcFZd7D01+6nSF 6lkBFYuaLX7X5f0Hcl0xvHiJpyfGFQINQnKRPq4QVtMwI9u4Iq7ktOWjJ65Y 63VUMNR1Rc77081WSq5YHnjannjBFdY7wq68O+mK6RBpJgEuV5xckNjtyuQK fw3Xk982XZBleVfBYskFrz4KX2eYcIFLSPSewm4XhFlTvIzrXTDF3Bd8qtAF QaNTbIxJLoj5tXfte5ALTjWys31zdoHHuby7NGQXxBbMlPIZuuDM/RVq9Vsu eD9/VjBE3gUPvgTRzUq64O6iVLi8oAsOxZpXvOR0gVi7oar0LheIxt6T6//r jAShcUeLFWfsPBL8WXDaGXSat42/Djjjsob4dPMrZwQdvCeTWeGM1eTTL2Kz nLd87yXNxBhnxIRLvC3xc8aTQOrpYQdnCOZk3KMnbuldfXBGyWCr3tlHOfaW M2R+FgdvKjiD74bX1ycXnEE7/ll5QdgZTsYjoZa8znAscSxiY3PGmfPn/Oq2 bfXvJO2h/HCClNz7k5cXnRAmerZl74QTYkkvXv/udcIUXfKhr81OWAygK1sp d8K+Ez8sqbKdwLtJrc4d5wSbzQ4RxUAneIcf+eXi4rTlB/4mdFg4Ya7vORPf YyfoLhWfdL3nhLt/jyx8U3OCyfVr4qSrTiDfXWL4J+GEALP005EnndDpcStb mscJ7NE7Hq7t2dLnm5Ur2e6EI7MXZJ1+OYKj2Er+7rIjElmFL1+ddkTPtm2c 54cdodTS+0qq3RFyRAeR63WO+D3FI2tQ7IgfilOrPumOaGPdfaIh2hGuthxv qQIc0WzhtHDDxRFqar9vZlg64omd4iaTmSPybmuO2D9whPkk59CmpiP+2jV+ cL/uCKpW5yUuaUf8ufxyrk7MEevck/Vmxxwxs9vNUIDLEdk/dVsXWRwR3SY6 UrPNEYf0e+nPrDvg4DiLHe2kA2jE9BYWWh3ws+Wk2OdiB1C/5j/7N9YBpY18 gyc8tmLxiytPCA74xfnycYuuA9oC9x09c80B9rfpqCtPOeCQ9aMpdU4HhE0q ptFud0DLDI1Y+4o9HL5vM01/bw9PISrhyNf2yJrtfpBQZI9YA8e56lh77H6m kbrkYQ+PuXJrcZI9VC2vqwTq2ePM0VEaakV7aG4+tHU/a4+6vD0JvHz2oBeX Ue1hsseApRUh+IcdGNefLpjO2EFGnyZBq9cOlerXyFo1drg1b65qmmkHAvEn R1CoHVy4DPM6He1gH0H5zfnUDgKvuD/Z69iB0+CpxrqcHYprUk84iNnBTUVU lYvHDsv2SdmdjHbgUqjiD/xhi4/z9+KNZm1hH5ZAp9Zvi5fHKy4q19uCY3ib iG6uLZ6OsTfYRm3h+bB3he62CL1333CDZAvWD0QFNX1b0Jz//qRaxRaBT89V Sl60RWxvOkfrCVv8LJ0yM91nC32BlHSubbZ4n9Sf82HNBtPdFMPKKRswnG+p Sey2gTDDzpjoGhtcf1X9OS3bBm3UNsFNkTYwOrbNYcXdBpmCl6JEzW1Qdv1E h8MjGyy1rf2dummD7rJZbo3LNrCPecExLGKDaqUjXaaHbKAfVXJqN5MN7h74 T7D5lzX2fRxJ9/xsDZObtgF6I9agbeHovfrGGpf0/2pcKLfG45GC7TJp1kg7 0jKgHWqNbWrr6Q4u1pCTOGRWTrTG6o2zzH/0rTH/8Jatxk1r3DGsTKi6bA11 wWJD0VPWMBerelnKYw2DF/o+15mtYcd8r2XprxX+StmqJy1bIXE2l99gwgqp Qb/4znVbQeGA/6V9dVZIt8x7uCPfClTB1fbb460QRC3pwO5vhe8bXsqn7a1w imNm8u4zK+imj/BG6FnhxZdbfyZVtvgB00cSsEJOncSVOFEr/NSmcWPltQL5 gcChUBYrPLbg/HGE2gosyyS6llUKaGPHThGmKeBP5zITGqCgRYMjbb2ZAp2J xvbOUgrsZCQ6i9Io0GRNjUwNp0BPRo0nzYOCmG1xqiUUCs4rPWfqMaWAxaP/ 3o87FCw8ij0mqkwBT0mQDukSBfSBAR9bRCjYJu5TdpiXgv72oPoAVgrI8q2r O2kpMDz/5GLAN0vIJHcH8H+yxFDHvbGmt5aI4I7Z86LNEm4/eA4LVlvC0DX2 70quJSyC3oa1xFuC+CR/NDXQEjtK2KuDnC2Rc479pA/ZEq87Og8GGVni2nGy TYq2JQJqtKSbFC3R4devuXTREr4s+oVHRC3RTusnY8JnCVnljc0KNksc7dXq Y9u+padBKrL5YYFH6qIBXxcswDptd/f5uAX0vIwZf/dY4AYvvX9wkwV480KG z5ZZQEFG+e1MhgUsx3ycE6ItwH+lvt3QzwLHx42SJRwtMJyyd5OdZIGDy+bt fwwtsKEDqjVtC2hkXw5cVbLAVPqdp5vSW/Gmo/ceMQt0c718d+aoBQJ4eW4+ 2G+BV+nvpyIYLZBWLmz37q85qhINDxxfM4fK1Gym46w5+P/w88yMmEP1acpz 9U5zKFj+8+uoNwcn+4enqiXm6OujpZ1INwdTufgVy2hztPGqc3H6m0OyQMmz zckcn7j5rZzNzfHl1Ny0nKk57vjVVrHdM0dX+sjqopo5eOJtHbqvmkNK4O+t asktNGkyKxYyh9WcdFkJrzn0P3nw1LObw5BWPWdwpznyhhPlv22S4T9w4vOh VTL0zxS73pwlQ/D9buaAUTKeXDliN9xFhqzmp+ZjTWSk3NcecS4no+U/34K5 bDLaO9KkbyWQkVw6YN0dQt76x2/pqHmS4VFg2/PelgztwZT+FwQyrP5KaDMb kZE3VaJVcYeMF7mJDSaqZDD8CvM/fJWMvsLzZXOSZPw+ZHy0TJiMILblcR9+ MnRIZr1P9m3NI9a4pslEhinnqJQ8NRmxVfnxMt9JOABFdvlFEpieNwZpTpHg 7y6x68kQCdQC47be7SRESa0MF9eTcHy+mnWmlIRtpMjD3NkkXBVcpNFPIIFV XSA9N5SEi7vbaKm9SeC+cX+PngMJVsVOrc1kElqch7jEHpPg68+0Pev+Vj/u WevjWiRcHj9BLFQkwfRN0fTlyyR0sT1oHj1Lwhe+I4w2J0k4ZvSz8AgfCXG3 5nKG95K2fCj1f4FMJJTkGNlp0JBA0pWR4f5BRMrxDsnVJSJuWMlqd34kQuDa z4iCUSIad177Gt1DxGiWv5b/KyLan8s2eVUTcWZpUsiviIiKrwu+kRlEUD3/ PpoTR0SLTQLjmxAi9or6H1jwIiIvyvw3uyMRPiVsWfIWRFgqnT7obEbE7Pek ay0PieigviqwW4eIJD2qovuqRHiFt09UyhFhUZWYceAiEbEqPrTOYkTUXo1b WD2+Nc/0f5qmPERoVpZLzXMQ4em/L/QZExFp2uo6mzRE0BzNcw76ScDXXZSd IisElAru+tj3iYBEx14Gu3ECRL6JUkQHCRCSSjn8uZ0A6racbdmNBPxoG9xL rCQglqFE9UoBAVzLM5n70glo1dvDuR5LQHD9l/jREALCx0WEX3kT8PDU2MsK JwIYS2UViigEePC5thc9J4Dnkp1UlREBWh/3Bb25R8DmL7k3Y5oEkI1phn8o EfDnl1o5pywB9KbS+nJSBIxLTvWYnyaAoVLzd+5xAoSXmsYWeAgo9L7zVHQf AVkfNNKtdxPQOfjVsXMbAQ4dlt+P/HmB/wGd+dTr "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.8837234962591963`*^9, {3.883724390909018*^9, 3.8837244220350122`*^9}, 3.883810880164082*^9, 3.883812928206394*^9, 3.883816240328163*^9, 3.88477005606642*^9, 3.8847718077663813`*^9, {3.884776288180044*^9, 3.884776296428225*^9}, 3.884781651288433*^9, 3.884783715413142*^9, 3.884783866733839*^9, 3.8848451181350594`*^9, 3.884845202004087*^9}, CellLabel-> "Out[139]=",ExpressionUUID->"31380ae5-13ec-462f-8ead-71e7a7dbd604"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAALSg0wREA8D8cx9p7zwbsP4FiUGkU STFAU2gSu5aD6z/hU9znanhBQErYGMtnBOo/H2UgfYm2SUANR7f3vfLnP9PN pdah5VBA018lYdmM5T9nMgZ1qkdVQE7MwPsi0uI/SY5uBNJeWUCFfm27tl3g P3yzIRqlzV1AWT9ppFzq2z+qNaT+4hNhQGS4zkTK1Nc/PY276IIbY0DgWVNJ hZvUP3hJ+JX4TmVATY0FxkCx0T9bAbm7/VxnQK51ND2F384/kIIzyKlgaUBv ZU9IpCvLP21o05crkGtAc9FijxLPxz/ySfffPJptQBbGcgTXK8U/H5BA6yPQ b0D8refFhsDCP8/Poe7Y/XBA3E7MdF29wD9jVeWj5wByQOhqgrfWQb4/S427 OuEZc0A71eB9zD27PwfD040iIHRARG6cB0TNuD8Xq37CTjx1QNl7wsjlf7Y/ 0HeGak5TdkBAJ6Vtd4e0P11C0M6VV3dAddMQktfosj8+v6wUyHF4QC+RGfYl W7E/8jnLFkJ5eUDsil89ixGwP1CZRoyPe3pAzQ35TCbgrT8Cq1Tjx5N7QLm+ R1lXras/h7qk9keZfED/8C3aZ9WpP2B8h+uytH1AXqMe120IqD/jIsdT8cp+ QHK5lOmHcKY/OcdIeHfOf0DiTvFTERelP/GOLj/0c4BAyGw9zQ/Coz8wuVmg UPeAQDuAzem5n6I/xFUzuxZ4gUB18tP4b5qhP4JL1kbSA4JAKduXkTuWoD8q QJqwMYaCQF9WTZcbbp8//I0ni4YTg0AxhqphebCdP7fa1UN/l4NAMk5CD6cw nD/HmTK24RiEQLRpvKmo05o/AbJYmTmlhEC3AOmRvnSZPyXJn1o1KIVAIB2y 2sFEmD9zObCMJraFQAO41/aQEpc/FhxveIFBhkAy61TaTfuVP6L9TkKAw4ZA hmFSFSgIlT9YOPh8dFCHQIgF6l7JEZQ/+HHClQzUh0BgO/g6ojqTP+0dO2gO VYhAn5TXSn10kj8MI32rBeGIQLNcUtCrqpE/FSfgzKBjiUBH2gnzufmQP0iE DF8x8YlAGBlR+VlFkD/PU+eqK3yKQKoz8sjZPY8/QCLj1Mn9ikDG86xy/BiO P9tJqG9diotAQgc61BjtjD9gcI7olA2MQPz94KKg5Is/D/A90sGbjEDIETrJ rtWKPxPim3VYJ41A29k7A1baiT8B0xr3kqmNQAH9qPEG/Ig/GR1j6cI2jkAW DulnYheIPxtmzLmWuo5ACPGWmL9Mhz/sZR/3/z+PQDqv/kmkiYY/Zt/Uzw== "]]}, Annotation[#, "Charting`Private`Tag$1319969#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {0., 0.8758313578639192}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[CompressedData[" 1:eJwB0QMu/CFib1JlAgAAADwAAAACAAAALSg0wREA8D8cx9p7zwbsP4FiUGkU STFAU2gSu5aD6z/hU9znanhBQErYGMtnBOo/H2UgfYm2SUANR7f3vfLnP9PN pdah5VBA018lYdmM5T9nMgZ1qkdVQE7MwPsi0uI/SY5uBNJeWUCFfm27tl3g P3yzIRqlzV1AWT9ppFzq2z+qNaT+4hNhQGS4zkTK1Nc/PY276IIbY0DgWVNJ hZvUP3hJ+JX4TmVATY0FxkCx0T9bAbm7/VxnQK51ND2F384/kIIzyKlgaUBv ZU9IpCvLP21o05crkGtAc9FijxLPxz/ySfffPJptQBbGcgTXK8U/H5BA6yPQ b0D8refFhsDCP8/Poe7Y/XBA3E7MdF29wD9jVeWj5wByQOhqgrfWQb4/S427 OuEZc0A71eB9zD27PwfD040iIHRARG6cB0TNuD8Xq37CTjx1QNl7wsjlf7Y/ 0HeGak5TdkBAJ6Vtd4e0P11C0M6VV3dAddMQktfosj8+v6wUyHF4QC+RGfYl W7E/8jnLFkJ5eUDsil89ixGwP1CZRoyPe3pAzQ35TCbgrT8Cq1Tjx5N7QLm+ R1lXras/h7qk9keZfED/8C3aZ9WpP2B8h+uytH1AXqMe120IqD/jIsdT8cp+ QHK5lOmHcKY/OcdIeHfOf0DiTvFTERelP/GOLj/0c4BAyGw9zQ/Coz8wuVmg UPeAQDuAzem5n6I/xFUzuxZ4gUB18tP4b5qhP4JL1kbSA4JAKduXkTuWoD8q QJqwMYaCQF9WTZcbbp8//I0ni4YTg0AxhqphebCdP7fa1UN/l4NAMk5CD6cw nD/HmTK24RiEQLRpvKmo05o/AbJYmTmlhEC3AOmRvnSZPyXJn1o1KIVAIB2y 2sFEmD9zObCMJraFQAO41/aQEpc/FhxveIFBhkAy61TaTfuVP6L9TkKAw4ZA hmFSFSgIlT9YOPh8dFCHQIgF6l7JEZQ/+HHClQzUh0BgO/g6ojqTP+0dO2gO VYhAn5TXSn10kj8MI32rBeGIQLNcUtCrqpE/FSfgzKBjiUBH2gnzufmQP0iE DF8x8YlAGBlR+VlFkD/PU+eqK3yKQKoz8sjZPY8/QCLj1Mn9ikDG86xy/BiO P9tJqG9diotAQgc61BjtjD9gcI7olA2MQPz94KKg5Is/D/A90sGbjEDIETrJ rtWKPxPim3VYJ41A29k7A1baiT8B0xr3kqmNQAH9qPEG/Ig/GR1j6cI2jkAW DulnYheIPxtmzLmWuo5ACPGWmL9Mhz/sZR/3/z+PQDqv/kmkiYY/Zt/Uzw== "]]}, Annotation[#, "Charting`Private`Tag$1319969#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {0., 0.8758313578639192}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNlmc8FQwUxo2IklIpKmkgoijJKk9aViUSUqi8ZjITGVnZ617X3vva2Vv2 yszeZK8SGirj7dPz+5/nOefLOR/OyefGitqUFBQUc9QUFMFj/bbttEs45jp9 3opmCT9C34pfoV4CsV1l/SjFEqQvSY8c3lhEUgnnO4Ffi+iyDkrWWVmEb3nf mdKFRah8sabgn1zEqA+LYs3gIrY0fj9582kRgd35jooNixgobL52v2wRs6F8 Yq+yFkH3tZyvMn4RvIp9P4SCFjG2nkPoc1vErv4+ZrLVIjRe2pQk6S2Cofin S5/KIrg6iNW4vQi9IyOso4KLiFudfV1wYhFM4TQBzQyLqGJduHFifQHfql3M CicWUHI/ji2gZQHRpbnqxfkL+C7OyMwTtYCmDG2OeZcFFIZcKtwwXEAF30DD fw8W8NSgi55LdAFHfjfvuHl8AR8i1uWrqRawVcdNTJiZR/W7DpuvTfNgldjf EZ8+D9k+aZEG33nEvHZp0jCZR/ubYlMjhXmEVLg3/bowj9wkqrltpnk0Kx+q 81yZQ5BZnEZExxyOqjkViryfQ4F5ZK+WzxxEbaoaTryYg4bkwTgL6TncmR/W 0eacgwTrw9PfKefQwXYqmWt0FrXDDwy3i2ehFxYv5xw4CyWL/jsFJrM4pDhs FiE3i2Ovl0tFuWbx3kE0iEgxC2Ftu30pgzO4PGDu4pw3A/3KvAEO3xl0T/E/ IOrOwI0C083XZmDtW9fSzzqD4+KvGktXpzGkedjbqnkabjHUlfsTpuGfpUrh azsNh2et378oTYNhY5Xu8rlpSPjZZ+vTTGN83uiH18gUni8RemLyp1CddVgp zWcKJRYTaZnaU/h68w5d5tUpSBX23s9gnsLtxFyGzC+TKK04sZxbN4lhv96J qshJaFmQqwYtJvGM8roS5b1J3JmVpRXmmkSNhfZfh60JMDJ8J433TsB/xFRR 9f0EHvyMJC+4TSBzzGA19OkEIpPX7PVEJ6DC/9pLdf8EfN0VJQwXP4Nec29W Yu1nsHJpzdBGfYbaL8keouVnlHxf1pBW+IwxGhYlPt7PoG6YMQfNZ9A68xg6 j41jH73pwO/icbCKikglBIzjFiujwDvjcczL1myGyY7jT24Y/QLnOLwv2kWY UY7jtubT0RclY+hrY3toYDaGXCvv9omzY/jZx/msb3IUbOvU2zKRo1Aw0nG4 ojKK8pPi0VlMowgjpa6TW0bA/Yi8h8N9BFY2Dje4bo5gxvT11HuKEagaKZ6o Lh+GXe42g4bNMETec5HfiQ7DI7Cp8/L6ECxFJx5bFA6Bc4ri1zXLIQgvLkqG CQ/heTNqHdcHweK999uv4kEICrqc2rQZxDqzUwJRYhCc7RJp+ZSDeJi2oKpf N4C3arLl6R4D8Cx+2Gt/bwB07t2EiQMD2Pn5d2P3QD/U5LdklWP64aJa1KWj 2484NUEmWv5+JEbcjBf81Qei6fFjyxV96FD4TCHi0YdH7Wc/7nnQByW5uClj tj44qzhnq8/1QiqV0603txeSwU7ZA/a9CP9RaKZzpxd8uu7Utqy9GPnWT2Kd 7QF7P6+cRH4PbpewyMw79+BJd1Ui64Me+JjfNms71QMnt4vFtGvdmFJYfFtV 0w1KftbqzYBuKFsw2pbodGPQgDf2p0g3uuRxMnt3N5IcZmbnRrtQmjU9HJHT hQhJp6lm1y6Ul/SNvXrchd86ZzOCBLpQwSbMLUD7z5dwOHttuBM6s8FedTmd uGWoe7LCoxO0R19V8j7rxPKDk1d2iXaCm/KbziOmTsRalu5nWfgEnta1fbdq PiE2s+fiWMQnPKuOlpl+/QnK8XVcygqfwO14IkKA7xMczNhszXd+whvX+VC2 yQ4Ex4U3navowLDYk/G48A6QVjzzbKw6kMM3wVb4sAOlmSE/Hgh2IO2a4yEF pg74rd8vURtrh5DLZ/n2iHaMjKhmbqq1oy3RMGyStR3HDzKNvB1oQ5p2/I3W 0DbwCjHFtKi1QaZno9H6WBs0GkZDe0ZbcdqAY20wthUlf+RK3LVb8YJqa2CY pxUjshzXe762wNxsa9Y4rwUdopfqU61bwBQ/Pews2YIrf4su/KZrAaZn2uk+ NeOL3c3GrNBmZL+Xu7D87/goW06eqeZrxnWHiOYzvz4iQ+zW7ePVH+F1+HFt vM9HxGl2WRU8+ojmMtUIJa6PaOeSeWm71oQ7CTn8fFVNoPh679xzvyao0r7N P6bRhIQesKmda4L/IF8Fy2Yj4rde/lVubcSNyFzhA1GNKGzmHZMzbkTjsuXz 7WuN4MmJFeY70AiFR3sHO6YbcDjU8uNiUQPCJ7p9bbwbMGsW7vP2aQP2ZLLH rF1qwH6PXOEB+gZ8rx76em6sHt26R7W/5dVjdWNKgt2rHmZmXpzFz+pxdPJi Q5lIPQJ4qnq599WDqNi2e2O2DuurAaeEKutwRG9iqDOkDmS6nZtdpnUYk6uX F5arg+fS7bi/HHVYZaBuYN+uhcXTooC4gVrYaKrOOOXVosRjPazCrxbLJdWB Ki9qERw4XS4jVYsJWpetgNO1eDabeluEohZ1JcIeF0dqQO3fVeZUUgNhprGh MyE1YIn8b+rE6xqwZ9H3GyrVIFaNomyXYA1yvq6H/GaqQdjAARuRlWrQpXeZ 1ndUY1lhLyEuqxpGNlOLzYRqnBROjZI0rcbEh8laKsVqKFoKvmUUrAb51L0v WgerISD1VZjqZxVITQ2uc31V2FNqQ3OopAoJj70nPCKqcO++gvwN+yoMMCzZ Sz6vgr7plTTnW1U4F96zi56nCgJzq4MdDFVwPvdSbfBbJQLZsz5y9FSCd+m9 8fviSkjQjPm9iaqE3jGOV07OlTh6r0O3Sa8SKzaBRXfvVcKrx7aA8dK/ut9I 7u4jlThS94DmJkUlzrMYUxu1VkBXlXtHY1gF1BlRE6BXAU4Frb+dlytQvGn1 wpHmH1u79UZ1f0BCQwr12YQPODuxVX7y1QeMvwjrfnfzAyLiLI4oMn8Ae9RT HfeZcnD2rPlzFZVjatbxLa9nOQwy6XcHPSnHGQ/u49r85Ti7yhAbTFWOtLv6 Dny9ZWBZ10k/lVoGf0Ioy5u3Zfhtt1p6/kEZbDPyCNe5y0DpoReQu1kKEY6O BoeuUkxGDZ1PSSnF/tLIDl6HUlAlXSvcqVIKp9U/y+LnS6FTs8OrgaYURzl9 wlNGSkAb+F74c34JkvP1rV76lsDkPPHNXd0S/MpveuRwrQT0t23EaI6UYLdV I4bWivGVzoVA2VaMFWc+ZcvkYizvHygTdy6Gp7nY2l2NYuju8zmbIVqMV1eJ QarMxSAFOb2UXylCh/3eOUJrEV7U35c8llqErWdVBd9ci/Bb6bL7nv+KMJnW +8tUsghZYQdk2diLoFoYU8e4WYhMBcPcW0OFeDcTrFFVXIh9WSYHHUMKkSSv x/HOshASpD3jTcr/WIkmXOFyIW6ZUacdOVQIps81uhw/C8DdR81r1FsAT0ab +78KCvCBvUeoIrgAxWupYnVWBei6Y1tJp1YAQZ2Usx7iBQhIMRy9xVaAHuvu 6xLb+dhgKa80/ZwP64CP1WM1+RAYfJ7vlpSPg11kWn2PfIwEm3I5G+ajrUja tUc+H39DnoZqCuZjbZjYfeJwPt4sKWWy/M0DhVtZ1O2xPHw0MGFPrckDN2Ny 2vXkPHw14Kzc65OH0CH+oX1meaDd5Wd7SyUPxGUXzowreRCaaVWVOpWH2I/E sAN0edjHr2/C9DUXjFEPnl3rzkXZ19wf0SW5eEuWK+SPzUWN6eULy265WIqY Xh4xykV51lHHvw9zcWbvnLnU1VxQJsapVnHkojdltlKPIRdCRiRc/Z6DEpEP ehLDOVC8UPTpRW0OMtVomOrSc9AS+uiDTGAOrjYHmP22y4HAzIeGLp0cdPHt eNQvn4MLBtnVtKI5OH5VIE7jVA4um1AHje3OQbRGzVWPH9lw0z4i9ngsG8ef V/E9bMrGmrht0evcbLyxOeRYEZmNlCVNXn73bNje5VGvM8vGGTrJckf1bEyv G69pSWdDEa+TXwhmY+wInWvI8WwQOz9eXqDPRglZQefpjyyYdx2p+jOehe++ 3t+LWrLwkGs1M6woC93Mb6KjE7KgeeH86wZCFiR6/0wy2WWhiisu7K1+Fhrl P9zZo5wF1v7yjPLrWbj0e9zUjz8LuZTC95yOZWG7Mnw9kD4L4uv68gFf3sOq b4zzauN7mLtuTnHGv8c3+/Stu2/fQ/+d8kzeo/dIHhrfpyb0HoVk8vcrTO9h I/2GXv1LJizbiY3FTZk4/S4oXTEpEy2WxAtnnDOhxfOl+/LTTHSJmDA7Xs2E LI+oOc3RTIxeLDGuWc/A5Kl8n5LeDETKCiss5GUgxzYQiqQM2LPoja2YZsDg tFtR4/0M7DahVerlz0BK54UrR/ZmQF7LY4P0NR1lLeUnb7SlwyI5XfRMZjoM Z590wTcdOlJ/33obpcOgu7eVQT4dea/VFSv506HvzRKTtC8d5/xS5CpW0qBS V79A35UG7y3hg655aWh63KUpGJSGG6esdZis0mAdylzNrpaGzjXSHo0raXC6 Pj3VfDwN7GbrU3qUaaBSKkq7NJWKj+/p+s83pKJSs4ZeJTUVg6/zP6f7pMLU JIJSwDQV7vqnGcaVUqGnNZ5QJpIKkp+CSd2xVNQmDB74Q5GKmSvVQmrTKVgX 57ebbkoBCVz+4Zkp2HnYjc2WlAKqm7uaXK1S8MxZAqXqKTDUcOVlvZGCpRpm sRjuFOinLB++z5gC7rxJM+7vyVie9/rNPZiM2/qyjxUqk2HDIyUdm5SM5qqX piw+yVgSfuFeYJ6Mnp402Kglw5H2kayOZDKKRVWeWHIno7DtxtnMvcnwpTHX 3/WLjAe/vrR7jZKRFmBy8GI9GYfSdL9uZJCh/e0r81IgGcEH229s25GxMmBz 4bIOGScF94cS7pHhoqssxChMhszVnKpMdjJe8Qj+MaUjI9fFPVxlJQl/mim1 NAeTYNHnzehR80958550pyfhPiIZJIOSINJBO9pmn4ReYSminX4SbBtlZ+88 SILxef/YK1eTIN4r4HTnTBL2qTbL2TIl4fhcYFXz30SMNyuSxWYSsaf7flVj RyKchvS7LUoTkSdLmSSZlIjBaKoNXmIiwv6ORVyyTcTVHIL8Y91EqH72G4pW TEQr/RAdlUQiODK/RTvyJIL3R5v+ceZE1N9f5e+nSMQ0t1JZ5lICYjz1B2L7 E3B16KRidm0CtP2mV4azEsAwE/COIzIBZmTXXjePBPTNuubRvk7ARmvPYszz BBirc8kqyyfA4GZkJNeVf5rRnsfEk4BHB6s1Dh9KwFn2WQNh6gQcsT6eYvot HjcKc+frRuJBvqC+Kdgcj/trYvmlRfHwj+6ZeJIUD3VNNtXDAfGo+KQ3u+AY D95tc60+43j8kteMHlb/py6ZRn/k4nG6WCpRQCweMipmh+2545HN1Rs6fSge ZXLWlP/RxENbofb0n7U4xF6y7CVPxMHfLGfZ8FMc/FhXbslUxmFymC7ryvs4 3ODloZGKisMu6cFjej5xoNDdaIu2jUPbx/q1Ly/iwDRTr6X4+F/+7divFtk4 UPVIeaiLxUHro+cK9dk43GR03VXJGodUWf1MIn0cBJXyC61+x8LgiTilxXws ZLmO6bgOxILzakNVelMsOs/9WZ4tjsXu6ooW4dRYHJIwvhQRFouAmDRqZq9Y vJl6fjjOJhZ8t1rv3DCMRdk7Q8f1J7EQu7SbVHU3Fvu2SjWjJGLxfLW/zpc/ Fu96qBL8T8RCxuTEQApTLHQn1G92U8Wi6idvHdP3GDi8gfjz6RhcJBBc63pj UHtAzU28MQbcSyzHa4tj8POlF69mWgzairMIDJExeMXWeL7FNwYFr+/PRjrE gDZkZ4SjWQzaM+fPW/4XA9M0Aae3yjFYSH1gFSwdA/7ntN+rxGKw20ukf5Mv BnmKzHRy7DEYaqLSTWGKwQvl2H6WHTHQuxvkePFLNPTvnNn5sDMaCbM+u0IL oyGX26m0FRENGe+X7985RSPd5+YUr140RunSytfuRiPU4SntsGA0ppP8PKZY oxGs3rp/D0U0cosPGz2ciYIvfY9ueUsU1Ec6W27mRqF6/y2DxdAoRE7U7sl2 iELGirxLoG4UfLSkokPuRcH0m9HZEqEoMGwu/vh9LAoy+Tc/qeyIAj2PpnfX YiTSXjj8MuyKRFa+3OTp0khUuFedWI+LxMFeCcd5z0hwnLHt/WUWCZNG79VT j//5P0fIBjcioc14uamNNxKfynJ55A9GQuRSa8TiRgSkn8n/jJ+OAN9p9V1W bRGwcDHK0C2MwOkN+TyzmAgkxZ78HuIRASpL5euDZhFoTMx9dflJBE7Uyj/L uBWB6CP+oxL8EZBZulCzwBIBnkqhmSyqCHxJXz1OXAqHVdLuW1694dhuMRGI rgzH7Q8axS2p4dCYUy86EBgOxVFJ2lf24fDJ5Lb9oh+OOTHrNXulcLzxn73F i3Dsvmtwd5knHHfnbkw1HwyHP9fmVOV2GKSNtc+2LYRhRcDfb60nDB9vji4L VIVh/cE8l2t6GG5KBO9bCw6DkdNeD0vnMIyRywwPGIeBNVUupF4tDDraaXOE 22E4SMMgbnYxDFLmo4YGx8Ow3dT1+M2uMOTUDU9H/QzFbVGe+cGJUGg7n7l5 rj0U52ne9QSWhuJhGLftweRQEPZfOZwSEArJ9JOuDxxDEUqwSj5gFIqp+0c1 5tVCcU2b3a1b6l9/ejd1z6VQLCzV5i2cDEWESq41895QnN4dcfnhRgg6Q3Kb UuZDUO6pw3ygLwRLC6p/CbUhyGvWVj+dE4Knn6LYPkaHoLtM7riLTwiMfs1L KtmE4As73wth/RBEhfy2Pa8SAvNDRmqit0L+/V0DMyqCIdD/UU7jeTIEJIvO sPa9Ifiose3BvRWMbG/NwoClYFBHY+fBoWCIEdg0kpqCsX0nOUauKBhtdypy qcnBMOE1s20LDMarGxTjae+CUSfTXxNuHoy1+eA9Uc+Dkaa1Oz5HIRg/uc8Z DFwLhqUdp8x+gWAEHJLlUmcPhnUZ21wxYzAYl+QtuLeC0PSmLC/5SxAeC73w ERsJgqKv38xISxCMRd3J/mVB2OodLVRND8JiqNQ2f0QQipZjtFm8gyDCs9bJ ZBsEfg4T/mOGQcj4YaYl/CQIVwPtVbTuBGHY/fr36CtBKCUSTn3hC0LdI51m WbYgjJyc6yvaE4QNk2cXhLcCMVFzs6ruayByr/Ka/jcWiDOPus8e6AiETxhn /6fKQDheP6sVkx2Ih5QHCt7GBYIrTajUkBSItCUGdYN3gSinEHG1tAiEg471 yQCdQPCHlLJWqgQir5pW7a90IJrsPFtviQWi5V2IZjRvIMRNEv/uZAtEr7G0 jz1jIORoxCloKQKRXaF6LXwlAIa/okQxGYART77+le4AeIZL0uXWB+C7HAqc igJA85bc9jQ1AHT+xyTuRgTgCtezFSnff9yn0nPfIQDp21R9umYBINm8m/T+ LwAcemxzFcoBEJ4910khE4DNz5f85MX/+S3tDOnnAvBFv0Tk0IkAuBPaKHz3 B+DlMvWDAzQB6O8yZkv6RcKD5Zv3bi+QoHm8q2ttmIQwfreIzHYSNNIWgl5X k/A9PD5bLp+EU8qvhs4lk/Doujg1WzgJ0kmrh1l9SfhplEV3ypEE/E2sFX5F wuwMu7iaLgk7e10ee6iRQC+pxlx3l4TNa2KqeyRJMHkycuD5JRIqlJhFas6Q ULTWmidwlISBAQbrVEYSeu6sWApQkRBMmxdV/cMfuTvIo0/n/QFVIe7dI/44 /HPiRVWHP7zd7oQ51/pDR/xMgkKRP2yCr1nzpvvDSvbtHqYYf1zcGrlHFeAP lbMW/Ntu/3KzJjE7bf3BX81MOmrijxi/inWx//zx7drnam1Vf4gW7ZgMv+OP h5EfZUeu/WPBhUUeIX9EnbtQ5MjjjzVX59gpNn98Uh4KVdzvj+hkaVIzrT8+ KK7Yy/8loq91n+LoMhHpDOt/LaeIuKC0x+TYABGrB1pimluJ6P9Q6+BSTYR8 QgSVbCERpKY9rKzpRLjWzBSsxhBRQtjV3htIRKO5iVKdJxHUbafFPtgT4fPn hnnVKyIceXastekTkSGelj6jQYR5FIlEp0TEnzO84ZdkiKhcWy0wkCBCGfaD qYJEuEtZ/v7OTUQpZ+BOmeNEEDIS15MOEDEr617JSE/E/vHzDxy2CFBOiEz4 u0ZAGdVissM8ASffQGnvGAEOlj1h5G4CgvHbROYjAVW1dM3fKwjY520emZJP QKF3ybBuGgGZ+0zs+GMJCAsUfkURTMBcRl3+oDcB9yfGLn9wIkCd9GQp1YoA raFTzTFGBMSZnG2M/o+ANDebfrIaARv551eK7hMw2G24s+s2AWZTRvt+XiGA fdmO8pQgAbu+rLYr8xCwQL5sGsBOAH101eAgMwH2i0epzjIQkMExMuxIRUC3 h2pV7YofKo7Z0waP+uHVeNEr62Y/jPdl/jIq8oPPjzM2rxL9ID1Lt+jp74fZ zw8Ec+z9UPyS+9qCoR+EBGs2L6r5ga/RTtVbyg+idm1Xfl7yQzevdLDJKT+E 7QhT+rvXD3Qafs+CNn3h47w3TXLRFxwubMc3+31xdGc/ubHeF8b73wgl5Pni /vTDPL84XwjVjjJ5EXxxsTlKPOitL1IrxNmzDX3hNWGROqTmC8fqM83MMr7Y YLxtrCnsC7wYe1fE6YtWyWN/Thz0xYsQifIQKl/wTMWWsa/44M9IyUz+mA8c VA6ffdzmA4V9GhZ7y31g5nWvsDPNB0emK0cTwnzAmJI46OLhg/lkmjALKx/s 7qJkeKXrgzz6LnZHZR/o/2mqjbjlg4of9xbqL/lAveGz/fZpHxj4slrcPuCD M0EJxeFUPhg9L311e8Ub19zGl00+e6PX5WnVtw5vrMR9in1b6Y2C6geOR7K8 EbeX7X5ttDd4et5s2fh5o16txVbS3hsiFd6lB429wdgtnfZDwxs2v+OvTN3z hvUf5afjEt44Ns+/c+G8N/j/Mp2iZPeGkO6PWM693nCSnLVU2fZC8iP6wKBl Lwiz+C9MjHkh/kmL/pUOL9g/PrwjvtILK7YzqYeyvWAgXiUfHOuFMKobUxz+ XkhhPKpW4eSFJDmGeB1zL1wT+pJ15D8vZBSQLYaUvDCzS3Qy+ZYXfkdkLzpd 9kLf3CVH/TNe2Pnkd+ATFi/MXpY+9oTeC6sv7Wj1/njisddOKYdFT3QTdDsS hj1BGBAI7Gn1hPcGnfv+Ck9sZZLDH2d54kdSb3VWrCeevjX9xkTyBEOQ9mH7 d57YXM8+u27hiQ3ostnpeuKBBXlizyNPlKwnvkyV9YSdFjlb8Yonpgwp42jP eyK/7cjFenZPrPC8eEhk8sToovW2LrUn9glOnpb94YHuvLsFwrMeqI57lSow 4IHHhFPfLzV7YPeji243yz0gQeunovneA+R8wUcusR6oted1KCB5wFqDWLnq 4oGVAwRGMSsPJDA91/A28ICHpkLC/BMPGDoXdivIe8BHb3OyVtIDilLh9dcv eYDfh8W0mcsDGbW7+zVYPVBid+Tbxm4P0F3+nZG45Y4oyRe0j1bcEZJ7/euh KXfsl3qqNtbrDhHpXOQ0ucPWTpTkV+aOHUzbMpbv3cFhffyRfpw7LupW5msH ukOMfPShobs7BA5a8NnZuP/bK/uFECN3FPrZqJY/c4dz7a/gJSV3FEvtm+aU dsf21D0hfXF30K7Kvi0474460ZT8Pafc4T579JMRszt0zZ7XD9C5o9Fdxuve hhu+/01lbl12w0ray8cPJ93w3NxFcbbXDZkH1r45fXQD+8laPu4PbpBa3r/R m+0Gazvah36JbtDV6jynEOqGqfIC22M+big/SiGy4uCGboOdyu2v3MA9faG1 QM8NIlvfSOQnbtC6Xx0Te//ffE/+hYSbbtit3qaTLeIGBv1rexr43DDCJ9g9 fcINdauaOXuY3bCvwitKgt4N0hJuflabrsjNPW9buuKKpln9xztnXDF1iI/j yaAr6MbNW4vbXFEjKHfvRI0rLtxoiPQrdMUxY7rcnemuuCws5uIe4wpnHtLu /YGuyP6kdDXBwxX/Az7iZ5o= "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.8837234962591963`*^9, {3.883724390909018*^9, 3.8837244220350122`*^9}, 3.883810880164082*^9, 3.883812928206394*^9, 3.883816240328163*^9, 3.88477005606642*^9, 3.8847718077663813`*^9, {3.884776288180044*^9, 3.884776296428225*^9}, 3.884781651288433*^9, 3.884783715413142*^9, 3.884783866733839*^9, 3.8848451181350594`*^9, 3.884845202021799*^9}, CellLabel-> "Out[140]=",ExpressionUUID->"5c6e8ab5-664f-406b-86c4-b5791e49c568"], Cell[BoxData[ InterpretationBox[ RowBox[{ TagBox["InterpolatingFunction", "SummaryHead"], "[", DynamicModuleBox[{Typeset`open$$ = False, Typeset`embedState$$ = "Ready"}, TemplateBox[{ PaneSelectorBox[{False -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxOpener"]], ButtonFunction :> (Typeset`open$$ = True), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{106.88800372702369`, -0.0003683728478476899}, { 119.21320203105091`, 0.00023761995354556543`}, { 126.00688174139604`, 0.00040176876494644754`}}], LineBox[{{157.1069866948938, 0.00040176876494644754`}, { 170.46784494870712`, 0.000044920259187940746`}, { 186.9059733022103, -0.0003211168940377665}, { 196.79708520207254`, -0.0003683728478476899}}], LineBox[CompressedData[" 1:eJwBEQPu/CFib1JlAgAAADAAAAACAAAAkTlFhhawaUA8xJBVRSQ4v21o05cr kGtAos2acN+5KL/ySfffPJptQGWOEJSvGBg/H5BA6yPQb0Bw53QnzUgxP8/P oe7Y/XBA2BFBz++2Kz9jVeWj5wByQDbq1am+KgI/S427OuEZc0C1g9kXirwi vwfD040iIHRAlzKY34W1KL8Xq37CTjx1QG4hfW3PZBm/0HeGak5TdkB5uVDf pesIP11C0M6VV3dAWphy61ZmIT8+v6wUyHF4QJM5A4sj8B4/8jnLFkJ5eUC+ FHurGnL9PlCZRoyPe3pA/usL6EpEEb8Cq1Tjx5N7QO/9Rn3yHBy/h7qk9keZ fEDU8lJlbbwSv2B8h+uytH1AcFvXA2t55z7jIsdT8cp+QF+GwyNOeRM/OcdI eHfOf0CNYWrxOcQUP/GOLj/0c4BACdYlsLDq/j4wuVmgUPeAQGFthi5HnwC/ xFUzuxZ4gUCMU8mSn0YRv4JL1kbSA4JAVuIq4qIcDL8qQJqwMYaCQC2OCieU oOG+/I0ni4YTg0AUeLQAeCkFP7fa1UN/l4NAziowSufuDD/HmTK24RiEQNtk hWa61QE/AbJYmTmlhEBqoJdnHwfkviXJn1o1KIVAEe6CQZZbBb9zObCMJraF QCvfqq03Iwa/FhxveIFBhkDUJ6D+3ybsvqL9TkKAw4ZAIvalkxgn9T5YOPh8 dFCHQOdyxmA9UwQ/+HHClQzUh0Au7HAWbK7+Pu0dO2gOVYhA2xQel2v2xD4M I32rBeGIQDCHnQFshfq+FSfgzKBjiUC5QAkU7mwBv0iEDF8x8YlAhuaVWpW1 8r7PU+eqK3yKQB17b7XsfeI+QCLj1Mn9ikBGBp/Ey8z7PttJqG9diotAJyCD y17d+j5gcI7olA2MQOlTyMVypOA+D/A90sGbjECzb76rloHvvhPim3VYJ41A DhwDHWNq+r4B0xr3kqmNQNjTJeiFoPK+GR1j6cI2jkALNFhyiyTAPhtmzLmW uo5AIlctgrfx8j7sZR/3/z+PQHI7XstKj/Y+lO1xNA== "]], LineBox[{{53.66062560418622, 0.00040176876494644754`}, { 61.77751290255801, -0.0003683728478476899}}]}, Annotation[#, "Charting`Private`Tag$1320030#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.0003683728478476899, 0.00040176876494644754`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}], True -> GridBox[{{ PaneBox[ ButtonBox[ DynamicBox[ FEPrivate`FrontEndResource["FEBitmaps", "SummaryBoxCloser"]], ButtonFunction :> (Typeset`open$$ = False), Appearance -> None, BaseStyle -> {}, Evaluator -> Automatic, Method -> "Preemptive"], Alignment -> {Center, Center}, ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}]], GraphicsBox[{{{{}, {}, TagBox[{ Directive[ Opacity[1.], RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1]], LineBox[{{106.88800372702369`, -0.0003683728478476899}, { 119.21320203105091`, 0.00023761995354556543`}, { 126.00688174139604`, 0.00040176876494644754`}}], LineBox[{{157.1069866948938, 0.00040176876494644754`}, { 170.46784494870712`, 0.000044920259187940746`}, { 186.9059733022103, -0.0003211168940377665}, { 196.79708520207254`, -0.0003683728478476899}}], LineBox[CompressedData[" 1:eJwBEQPu/CFib1JlAgAAADAAAAACAAAAkTlFhhawaUA8xJBVRSQ4v21o05cr kGtAos2acN+5KL/ySfffPJptQGWOEJSvGBg/H5BA6yPQb0Bw53QnzUgxP8/P oe7Y/XBA2BFBz++2Kz9jVeWj5wByQDbq1am+KgI/S427OuEZc0C1g9kXirwi vwfD040iIHRAlzKY34W1KL8Xq37CTjx1QG4hfW3PZBm/0HeGak5TdkB5uVDf pesIP11C0M6VV3dAWphy61ZmIT8+v6wUyHF4QJM5A4sj8B4/8jnLFkJ5eUC+ FHurGnL9PlCZRoyPe3pA/usL6EpEEb8Cq1Tjx5N7QO/9Rn3yHBy/h7qk9keZ fEDU8lJlbbwSv2B8h+uytH1AcFvXA2t55z7jIsdT8cp+QF+GwyNOeRM/OcdI eHfOf0CNYWrxOcQUP/GOLj/0c4BACdYlsLDq/j4wuVmgUPeAQGFthi5HnwC/ xFUzuxZ4gUCMU8mSn0YRv4JL1kbSA4JAVuIq4qIcDL8qQJqwMYaCQC2OCieU oOG+/I0ni4YTg0AUeLQAeCkFP7fa1UN/l4NAziowSufuDD/HmTK24RiEQNtk hWa61QE/AbJYmTmlhEBqoJdnHwfkviXJn1o1KIVAEe6CQZZbBb9zObCMJraF QCvfqq03Iwa/FhxveIFBhkDUJ6D+3ybsvqL9TkKAw4ZAIvalkxgn9T5YOPh8 dFCHQOdyxmA9UwQ/+HHClQzUh0Au7HAWbK7+Pu0dO2gOVYhA2xQel2v2xD4M I32rBeGIQDCHnQFshfq+FSfgzKBjiUC5QAkU7mwBv0iEDF8x8YlAhuaVWpW1 8r7PU+eqK3yKQB17b7XsfeI+QCLj1Mn9ikBGBp/Ey8z7PttJqG9diotAJyCD y17d+j5gcI7olA2MQOlTyMVypOA+D/A90sGbjECzb76rloHvvhPim3VYJ41A DhwDHWNq+r4B0xr3kqmNQNjTJeiFoPK+GR1j6cI2jkALNFhyiyTAPhtmzLmW uo5AIlctgrfx8j7sZR/3/z+PQHI7XstKj/Y+lO1xNA== "]], LineBox[{{53.66062560418622, 0.00040176876494644754`}, { 61.77751290255801, -0.0003683728478476899}}]}, Annotation[#, "Charting`Private`Tag$1320030#1"]& ]}}, {}}, { DisplayFunction -> Identity, Ticks -> {Automatic, Automatic}, AxesOrigin -> {0, 0}, FrameTicks -> {{{}, {}}, {{}, {}}}, GridLines -> {None, None}, DisplayFunction -> Identity, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, PlotRangeClipping -> True, ImagePadding -> All, DisplayFunction -> Identity, AspectRatio -> 1, Axes -> {False, False}, AxesLabel -> {None, None}, AxesOrigin -> {0, 0}, DisplayFunction :> Identity, Frame -> {{True, True}, {True, True}}, FrameLabel -> {{None, None}, {None, None}}, FrameStyle -> Directive[ Opacity[0.5], Thickness[Tiny], RGBColor[0.368417, 0.506779, 0.709798]], FrameTicks -> {{None, None}, {None, None}}, GridLines -> {None, None}, GridLinesStyle -> Directive[ GrayLevel[0.5, 0.4]], ImageSize -> Dynamic[{ Automatic, 3.5 (CurrentValue["FontCapHeight"]/AbsoluteCurrentValue[ Magnification])}], 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 -> {{1., 1000.}, {-0.0003683728478476899, 0.00040176876494644754`}}, PlotRangeClipping -> True, PlotRangePadding -> {{ Scaled[0.1], Scaled[0.1]}, { Scaled[0.1], Scaled[0.1]}}, Ticks -> {Automatic, Automatic}}], GridBox[{{ RowBox[{ TagBox["\"Domain: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox[ RowBox[{"{", RowBox[{"{", RowBox[{"1.`", ",", "1000.`"}], "}"}], "}"}], "SummaryItem"]}]}, { RowBox[{ TagBox["\"Output: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"scalar\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Order: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["2", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Method: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["\"Hermite\"", "SummaryItem"]}]}, { RowBox[{ TagBox["\"Periodic: \"", "SummaryItemAnnotation"], "\[InvisibleSpace]", TagBox["False", "SummaryItem"]}]}}, GridBoxAlignment -> { "Columns" -> {{Left}}, "Rows" -> {{Automatic}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, GridBoxSpacings -> {"Columns" -> {{2}}, "Rows" -> {{Automatic}}}, BaseStyle -> { ShowStringCharacters -> False, NumberMarks -> False, PrintPrecision -> 3, ShowSyntaxStyles -> False}]}}, GridBoxAlignment -> {"Columns" -> {{Left}}, "Rows" -> {{Top}}}, AutoDelete -> False, GridBoxItemSize -> { "Columns" -> {{Automatic}}, "Rows" -> {{Automatic}}}, BaselinePosition -> {1, 1}]}, Dynamic[Typeset`open$$], ImageSize -> Automatic]}, "SummaryPanel"], DynamicModuleValues:>{}], "]"}], InterpolatingFunction[{{1., 1000.}}, { 5, 7, 0, {1000}, {3}, 0, 0, 0, 0, Automatic, {}, {}, False}, CompressedData[" 1:eJwt1zfsw1odBeALLBkzMGRgMAihCCFkeqjv0kM3jxb65cGDUJ/poV966B4z eszoMeMdM3r8jx4zeswIIp8l6/PRT0dn9sufe+HZ518cQnjR/97bS4JnfsZH fLDgki/lii9jxVfwlXwV13w1X8PXsubr+Hq+gW/km/hmvoUbvpVv49v5Dr6T 7+IzjA8zw7tlhvfIDO+VGd4nM7xfZviAzPBBmWErM3xIZviwzPARmeGjMsPH ZIaPywyfkBmah5GZheGT7swsDM+6M7MwfMqdmYXh0+7MLAyfcWdmYfisOzML w+fcmVkYdu7MLAyfd2dmYfiCOzMLwxfdmVkYvuTOzMLwZXdmFoavuDOzMHzV nZmFIT2sGJmY2bNwYviaPiMTM3sWTgzP6TMyMbNn4cTwdX1GJmb2LJwYvqHP yMTMnoUTw/P6jEzM7Fk4MXxTn5GJmT0LJ4Zv6TMyMbNn4cSw12dkYmbPwonh 2/qMTMzsWTgxfEefkYmZPQsnhu/qMzIxs2fhxPA9fUYmZvYsnBi+r8/IxMye hRPDD/QZmZjZs3BieEGfkYmZPQsnhvbhkhVrRjZMbJnZsefAwpETZ4Yf2mfF mpENE1tmduw5sHDkxJnhR/ZZsWZkw8SWmR17DiwcOXFm+LF9VqwZ2TCxZWbH ngMLR06cGX5inxVrRjZMbJnZsefAwpETZ4af2mfFmpENE1tmduw5sHDkxJnh Z/ZZsWZkw8SWmR17DiwcOXFm+Ll9VqwZ2TCxZWbHngMLR06cGQ72WbFmZMPE lpkdew4sHDlxZviFfVasGdkwsWVmx54DC0dOnBl+aZ8Va0Y2TGyZ2bHnwMKR E2eGX9lnxZqRDRNbZnbsObBw5MSZ4df2WbFmZMPElpkdew4sHDlxZviNfVas GdkwsWVmx54DC0dOnBl+a58Va0Y2TGyZ2bHnwMKRE2eG39lnxZqRDRNbZnbs ObBw5MSZ//vx/T8LLrlixTVrbhi5ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3 zrwz/P7hgkuuWHHNmhtGbtlwx8Q9Wx6YeWTHE3ueOfDCwitHPnHijTPvDH94 uOCSK1Zcs+aGkVs23DFxz5YHZh7Z8cSeZw68sPDKkU+ceOPMO8MfHy645IoV 16y5YeSWDXdM3LPlgZlHdjyx55kDLyy8cuQTJ944887wp4cLLrlixTVrbhi5 ZcMdE/dseWDmkR1P7HnmwAsLrxz5xIk3zrwz/PnhgkuuWHHNmhtGbtlwx8Q9 Wx6YeWTHE3ueOfDCwitHPnHijTPvDH95uOCSK1Zcs+aGkVs23DFxz5YHZh7Z 8cSeZw68sPDKkU+ceOPMO8NfHy645IoV16y5YeSWDXdM3LPlgZlHdjyx55kD Lyy8cuQTJ944885wfLjgkitWXLPmhpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFP nHjjzDvD3x4uuOSKFdesuWHklg13TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO 8PeHCy65YsU1a24YuWXDHRP3bHlg5pEdT+x55sALC68c+cSJN868M/zj4YJL rlhxzZobRm7ZcMfEPVsemHlkxxN7njnwwsIrRz5x4o0z7wz/fLjgkitWXLPm hpFbNtwxcc+WB2Ye2fHEnmcOvLDwypFPnHjjzDvDvx4uuOSKFdesuWHklg13 TNyz5YGZR3Y8seeZAy8svHLkEyfeOPPO8O+HCy65YsU1a24YuWXDHRP3bHlg 5pEdT+x55sALC68c+cSJN868M/zn4YJLrlhxzZobxv/E/wKWU4iq "], {Developer`PackedArrayForm, CompressedData[" 1:eJwd1oOyIAYSBdCxbdu2bdu2bdu2bdu2bdtmMkgye9521anq+wGNxE06VukQ OFCgQK+DBvp/BfRBCIjBCE4IQhKK0IQhLOEITwQiEonIRCEq0YhODGISi9jE IS7xiE8CEpKIxCQhKclITgpSkorUpCEt6UhPBjKSicxkISvZyE4OcpKL3OQh L/nITwEKUojCFKEoxShOCUpSitKUoSzlKE8FKlKJylShKtWoTg1qUova1KEu 9ahPAxrSiMY0oSnNaE4LWtKK1rShLe1oTwc60onOdKEr3ehOD3rSi970oS/9 6M8ABjKIwQxhKMMYzghGMorRjGEs4xjPBCYyiclMYSrTmM4MZjKL2cxhLvOY zwIWsojFLGEpy1jOClayitWsYS3rWM8GNrKJzWxhK9vYzg52sovd7GEv+9jP AQ5yiMMc4SjHOM4JTnKK05zhLOc4zwUuconLXOEq17jODW5yi9vc4S73uM8D HvKIxzzhKc94zgte8orXvOEt73jPBz7yic984Svf+M5f/M0PfvKL3/zDv/zH HwKGPzBBCEowghOCkIQiNGEISzjCE4GIRCIyUYhKNKITg5jEIjZxiEs84pOA hCQiMUlISjKSk4KUpCI1aUhLOtKTgYxkIjNZyEo2spODnOQiN3nISz7yU4CC FKIwRShKMYpTgpKUojRlKEs5ylOBilSiMlWoSjWqU4Oa1KI2dahLPerTgIY0 ojFNaEozmtOClrSiNW1oSzvaE7DAO9KJznShK93oTg960ove9KEv/ejPAAYy iMEMYSjDGM4IRjKK0YxhLOMYzwQmMonJTGEq05jODGYyi9nMYS7zmM8CFrKI xSxhKctYzgpWsorVrGEt61jPBjayic1sYSvb2M4OdrKL3exhL/vYzwEOcojD HOEoxzjOCU5yitOc4SznOM8FLnKJy1zhKte4zg1ucovb3OEu97jPAx7yiMc8 4SnPeM4LXvKK17zhLe94zwc+8onPfOEr3/jOX/zND37yi9/8w7/8xx8CDn9g ghCUYAQnBCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKS kJRkJCcFKUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQ lGIUpwQlKUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCU ZjSnBS1pRWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRh DGcEIxnFaMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUs ZwUrWcVq1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxzn BCc5xWnOcJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcF L3nFa97wlne85wMf+cRnvvCVb3znL/7mBz/5xW/+4V/+4w8BT39gghCUYAQn BCEJRWjCEJZwhCcCEYlEZKIQlWhEJwYxiUVs4hCXeMQnAQlJRGKSkJRkJCcF KUlFatKQlnSkJwMZyURmspCVbGQnBznJRW7ykJd85KcABSlEYYpQlGIUpwQl KUVpylCWcpSnAhWpRGWqUJVqVKcGNalFbepQl3rUpwENaURjmtCUZjSnBS1p RWva0JZ2tKcDHelEZ7rQlW50pwc96UVv+tCXfvRnAAMZxGCGMJRhDGcEIxnF aMYwlnGMZwITmcRkpjCVaUxnBjOZxWzmMJd5zGcBC1nEYpawlGUsZwUrWcVq 1rCWdaxnAxvZxGa2sJVtbGcHO9nFbvawl33s5wAHOcRhjnCUYxznBCc5xWnO cJZznOcCF7nEZa5wlWtc5wY3ucVt7nCXe9znAQ95xGOe8JRnPOcFL3nF/wAX oPB+ "], CompressedData[" 1:eJwNV3c4F24QtzfZO/G1Z6Ss9L5myEzkF0lm9kpoKKmQlIxCShRFImVmvK9V hMyyEkJW9vjyNX/+uufuubvnxnOfuxNx8rN0JScjI5uiJCNzinpDl6h2DSay NpLm5a/BpODWUTXBa9BC2rnuKuU1CH+rSqGxq5DfZk6Ou/oqHIzruPQk7io8 t2w5aml3FQoLWdF7CF+F4+Dk87WhUOiRof6MLzkUipb8liMZhkINg6j4ytUQ 2L1nQvbgWQik+2kSn6QRAoX1FITpfgbD3+FEeV7PYKixqldLIl2BJREH9Mfv XoEXBddd2RivwChms/mq2CAo5TaTIcYQBB2Sh9mj71yGYTzH70qRAmFu6EiZ oVcglBzJbJYbCIAfVD/R858MgKDhUdPZD/4wg+6migy3P/Qn3rlUvuYL7bVU TT0rfaAd142MrTBvKKfzQnf3hBe0vSssSrXtAQ9K5o+kl7tD/L7qpkPQJXhD zYy557Ab/A1/2MT/c4FLHxKShHKc4SflV1z0bk7wRGbLVr+4I9SL7+853OEA T4zKRj20tYdr9/g/tP2zhZsOX63n7/4HGfRvXxyROAv5Pslwx3edgZ8Kk3LG o09DJfms9ZNPzGDRqePF8Uqn4OBdzSDFKX3Y3NsT6lihDXUl09JczxyHTSuW 94m+yjBi9AbFcqIkPLjh0cSRxgb5DwiZttdTYwmL8MT7oqK4dcoq5JSoIp5b oft+yUsFc/HVMuS4a2Jm1xj7MSZtzJuRdeIH0sV8nd+eFhudxIpGHzck8g0x X+rD2b9Tp/C0lSt//bYJPnr44sabKTN8LD090PCsBd5ouC1uLHYai9yzMw4Y Oo1ZbRTtft21xM2yY+bFPGeweXG+q1LyGZykQOyMp7TCE1SNV4TsrfCo4+EH 0llWuN+/x5Sl3wo72TC/VNy2wsa0BdnbzNZYpp/bc4LFGrP6Jvl67Fnhklex enQjVviaOxIy+WiFZw/9u9hwed8+GcjTSFlhO76Whby2Mxgt+k5ZuZ/BHHmh RVlrljih5UKnToglNjtLpzAwdxpHBlG85bU9jQttzicWVFlgWGR4yozbAvdm +5y1aTfDMY6HTNedTLEXv0r85JQxJrTluwc6ncLZu1LsJzsN8T2Dh29yVQzw E/eA+yJJ+liDSjDk54wubm9n3dPV1MFxhY+PN93XwkvcSVf9ck/gzHc0yfWa GvhGgbrbwQ4VjMUjJXZdlTGx1/ByD5kiTgnoPcBwUhrzMinI5L0gYCXEnb7L x4u1aKxo5R1pcAD5O4UDD3rBhVvK0dTFjNDr1Md27lk++JY7yCqnmwDHxT3V vkRIwfcMqqGSZAowX+bZvF+WEpwxrrXglz8K1Y5XUnWmqMCmKxbFPhNq8FuI 0dcJzuOwj9u+z1D0BHR5+i2xgRXCkLSFGgtfLVjPojggrKsNLYzNtxNodKC+ abVWULkOvKsV4v3yP11YLPg3fntCFypnJP8Kd9aDTEIu5gptetDVWzqGQ1If GrTGBhn76sPfE2RL26/1Yeim1x3bJn34jfbLcuYvfagEKP4KDOlDM6aSKwId +vAj76fGnY/6UHpHLEH6rj7cmfPPZTHQh003te6Kb+nBnFDJ6vkMPRiupBG/ rKYHm5h27WrqdeGXOm62eW1dOIY4inmKdWCbTU3bEL8OFOv/b2I6WBsmmFAv jjVpQcF8UsN1Ni044qQs3/gKwNOmpC8Z7CegbI/Nj+XLx6Hu1pTh4SZ1+D5R N6iZVQ02ohmSurkKpDtxrnHl7lH4U/rLAZ+iI9Ao+4gp36AiNHvR8qhrv84P tq/rJOnKwGLyrX7DOxIQu63GldYR4O1DHzfk6YVg+pJYn0wyN4wQeSh1zIMF Xulj7tV7tgeuDnLeeQW/ApXNbpJzPAlZDafIlH9gwMt9S9pCYpy4ry3febCB H5vz7KbTpAnjj64DurOfRXHOpFapabUElvO8wXrltTT+0C2U3eQph2O67jxv YTuMIYEMxLUoYmUNlxa8rYS9flkW/xVQxjcpTvvclDqKi18e5eEhHMMD3ckc xnQqmFY5TP3rgArOiySz0U1VxZ++VFyP1VXDPgON16/1q+G8fw9PEW3VcWuX ezSxUR1X/VlpDhfWwNEZ1zdzXDRw0yMl2n3AxgEOB5+6F2rg9ZcSb7zLNfDI hSfyk+81cHOlV6HCIw1sbLXTnn1eA9scl/tRwauB25+UKEzWqeNNjs2NAjt1 7GBe6J0xpoZDkhZtztip4YQuhofu9ar48OkUs/uCqrjQ8Xi52yUVrB1/S+xz 1jHsOWzyGP7cz+fYxW1EUsYxrRrfyTmUcelpknSvyBFsdD/Cll1SCZfVXheP 2cc7u5zh84qKCliDQzJXkVEOu+sIi3f0S2ORiiDc8kISu/YoS/z5Txxzh+jF f2cSxYVla/EmlcLYT/xbh3yrIL5n2oLqDvLi/nQVhzJfDuzZ7pxbfZcZm9tu WpKrUWFTqth++a01RPfmUUB41XfU0tbspPViFvT82dJupCaDl84r4+7PdDD6 v+YlYjorFItItnP4ygmZtGl2Ejt4YYrLQQ/RSkFYkzAa/1tbGJb10DpzchLg k4P6d+W7RSFlbNY5pZvi8D+/z5/VOSWh9TircWCSFLQd0v7BuysNqz+n3gyz kIUBB7wZKR/IwccN7NtC+fLwysm/7ralCjC23u2Q+ZvDcCB9j/IsUISjy/Pc qc8V4VGOJHvJKUUYUmhdVCirBFsMZevknZRg1acXQVkPlKBwRW+2aI4SFPg5 t15XpgTZDnVlvapQgt2ckqf+FSrBxwoShd+fKcGimc4HEaFK8IhEvuapU0qQ v1I50ptVCVYbW+qrtShC4ogggfK6IvzzmBpICytCkZi8ar7gw/BZu528XIoC PHY7o8vlrTycOkr6nZMlB88M6c9MPJaFp2IvaXD7yMC/fu9WjmlIw2L1KGsT kiRUzzFacM2TgGeTpH8knRaH8K9T28KsKCRP7o2Pv0mA5D5f5pNpRWARowLD SfZD0Cg9bymHThD+yLll8WKVF/6Rpmy61McFg/+KWBmXssONmgePDogcgN/A t2eFXXRwh198fuweBWwdGD1Gf3MDXHtMEe5HPwV0Q2/crl98gk5zEWdshKZR SXbB8rXUDdQa607jr0qBe7qtN8Yo6XBw+Ly0fwEzZkpLpW1MZcOR88I9cwac WM2vupRlhBsHmFIvvrzIh68UMGXLNQngveadx9ZcQnhiZbXPXVQYq/wyDiiT F8ENdXFK9NIEvFbJmzPIKYqHhoPvVi2KYintzFpYJYYPmF9qpA8Rxz9I0nea hSVwXcxkCPgsgTvevvuioCWJ6dwDpQJKJLFcTsH8JK8Ujt7yn7ztKYWfp4QY aryTwi63NGN5+6Twf82qhoqrUjj+VfRWxq4Uts/W7HmyLoWZPwZc1R+WwgLk CYVLJVLYEM6LTl6XwiUl21RhSlJYRTC6mLNXEn95JODM5yOJiRzbeXsrEjiq hEJW31sChz18z+zfI45djMpfsiiLY9rod92lEWI4mTepkfqrKH58N/jkyx0C HgvIOikvQ8BDpjdcHUxEcIn14MUZF2HsPnfh4IFpIex96m/21Log9nATkx5b 58cPC7edImd4sQFv3viFTm7sxUK9vZ3PiW94Wqet3GbHiqbxOr1mrDjG+MjP q3JMWMDaZyKgiBZfeEovXXWMEj8g5p5e8t5BKWtHKMMDVtGkzefQe7sT6L/g Dyp0ow3oYvYAuvi1D4Rl5yesNs2BOSr2h+XB64CLrzCtZXQPlI0wOr5jo4Le +Z8TH/PRwdg3RZ5PaZhgqp1jq2XPAXjV2sT3eD0b/MOXnXkphgPqzn4seAW5 YOlUvuziH254LeAyr7M/L9w1LLUSmuGDltq+DNZmAlDOzITJ+LkgJG0JSFl3 H4SDEVve/ctCcLH3vKv55iFIcciVkBEkDNkCyu++HhaG8pTIkA6IwEcx0l35 cSKw2mYm5MYPEegi33fDlYkAhefvUDirEuAZPT1iiDUBJs6mbnxwI8DRTwzw kBcBnr71xH/UiQATtsZvCJkR4Ak3D18yeQJM47ynWr0nAp9Mkq7FfxWBrWlN 5rW3RSDz2RKyFCURyC/ytvFSjzDsPM5/776/MBTmGb58nkwYjgXWf3rAdAiC dh9XR2ohGDluV80/KwgXP5jFvKoVgPoSY+uzkfwwqnawi6jJB4WUo5obxnng dnZpgdMtbmg/OP9ulJkLSmyq3zofzwH9N1TLZhnY4fW4heGi66wwv77zat43 ZqiRfWRz8REDvKjUqB5lRAtfhw521mxRwueeMZHzb8ngx5qLmTUZm0DDav/C nl8Bw0WuGbs3ZsDWi/eidacHwM+HXzwChl3Rq5ykNyveA4jOPXnOVHEGGQrF EoPCVtDwTkQDbSMJNbHO3Btc3EMat57FRG1R4Bn2L9LzM9TYI/3S4a4GOlxi 8MA6OIoRiz+X3FNUYsHiR0wSVS6y4g//Cab/3J978QN2mzUN7Hj9sv0d8xEO zPK69d/YP078RsaGcW6CCyt4vxSd6ODGqqxmgja5PPhD6bHSH3682IHtegmZ GB9Wf1xBEfOFD89UydTLWfHjvJM1lz6182OJJxeKllQFcGOoeHlbrAAuVF1u 0WgTwMu1h4OObgtgQwMeo0ZuQUz2KaqDUUgQxxa9tJBkF8TUTMbPjFcE8ETM RktprQDO/PeJqShMAJ+R/AWfSgpgdp7Gj7WYHx+0eFCdeZIfB2xqeOdX8WHC 7j9mNwIfTjDsbD0byovLmWs0ODEPPvgjpP/4OjduxrTpl0W4cSMp388DcOFK lcevusw48ZxOga/XGQ58hT/AmWjCjoUDNPqOa7Jh6TfnbOkJrDhkNlnJaZcZ k6Wef86ey4ilmx9Z9urTY5dlEQ+PHhocP2dyLfI8Fe5+shu40E+OQ4Xda9sy dtH5seVwlzskFIBLXko6rKLgBPEIdb95NEf2vTpSeBy94LUnM/vUjeq0EyJ1 KaLBqwBy8ft0PwEa0+8YjR0H11iunre7PA8+cPfxZfOugsrbd3vVRzaA2yyL rMvDHWBCmCM8YyGHNit1VJ4nKWHKsWXbBm9qGPQqV8s2nBaGbhsxz96ih1jo Pf0pT0YYnO7IZw2YoVdNqs3eJgt8n11w5o05Kzxm7ZsmzcUGIz2bN198Z4MX dWNvZoayw0+aMsRfXBxQCiTz72VxwFSNowVfxTmhDx58spHMCe8Apn8uW5zQ X1+IdsKcC+qfKYy6+IQLIh9Fk/oWLlhBfOtNu8IFQ+N6pBUZuaEoS0nPKU5u uJp7o9KXhRtq3rNcriJxwc6syhMXe7ignRx5f2wWFxw7X6gT7sIFt6xdyW9z c8G4dXbnoQpOyBGyo7J4mhOeNMyI4B7cj2egQunzOQ6o7VhXa9DCDnlcSFNq SuzwsIK/OkMsG5y2Ua6Bg6zwc8ZChjOBFXoL55xnRCwwupO0e0WcGaZnu1Ef v8EI+7JeCCTX00NJfub+tm1ayGBOMSAvTQNrD/79SX2KCrYXKBTlX6SAo9sV qeG+ZPDxYWm6iultUCRRlGEwswEIuh9e+f7Z78/Wes1q5yLg8mxqOBE2Da7F SaZesPoDit4Mm8fZdwFO4w6DCKFMcD5q/XfESgvaMqo+8WjxN9qtfcHK/WsC Nd+czDySMY+8HjqmmIusoETpfICHiGiuk9KKMXITvb+jTD/DuYu2233pEhvI 8ElNvQ1zfwocqOGe8ZaJCstvUMxnplDjO38Mw85w0GKfBl2hoet0WJBzzjyg kx5Xu9p+PMXBiL8rNbiXajFhPeKx8APnmDHnbLVqjR0LPl5KMtExPIC9Ti+n HTjAik1zPBRCfVkx61hj6uE6Vuwn1PSRnYEN19Fke9KcZMN6WVaD61fY8G3D C1qD+ziS/cd6pvAjG37nwnj8ejUb3rALf2S4T/2Xy8UU9uW+9Lepjfb1vOm1 h6v37WLEyf+U7/vJrKiK82Fiw+Dk/hfSyIr/Sh96uhbMintoP09YCrLinL2l hk3f/bh+7uolxbPg6Q6lUKlMZnzR5OVKaDoTJth7ESxjGPFi5Ym8GFcGHHuJ uoNCiR6Xu95qej1Hi5lziTwOz2nwOd+SIXlAjS3cXkmy/qDEsVn3jjA5UGC9 t4GV8iNkOC8p7xbDx13Uam54xyxhC7nfs2W3cdtAFKUCrf8dXkNBDJHDDxaW EO2wH5+15RyKOSdsPlw1gc7REdVkREeQMk/yHyOObjT+I8ekLLsMGYhPXuap qAKD53f3lmR/gMmP79pk74wAIyOHgoKBCfBuXfCSJ+8coDeVGTv8fAmYr+8x W6etglBnss6aqHWwsCs7ke6wCa4oetXIiuwAMY6bz0qa94DzG+UqM3lyCH47 ML+/RAHTfUsCyhIp4ZejydY1hVRQnfG3rgiihgODv7S0KmngpK/uwbi3tJBC JrfmQQQddP3x3KvGmB5mkKSX6ikYYHFkwaT6WwZYu7Ha0aXGCE1MI9VNyhih dJV8uz+BCTYyFPjyXmOCiuwFUlKICVbVT55ImGeCGpnv2M8yMkN++Sa+cE5m +N6SpkyagRnuiarzXZ1lguv3ZZgyK5mgxevrdSMhTPBcVGHyHREmqL+U1jxS zggZKFwV7QAjnK1yHbm4v+t55cX7PbkYoJV6cfr2JXp4lr686/U7Olj60P/r +m9a+E6amTaVghZuFWWNK/LRQPo9qVV/AjVk7iiMZT9EBZvfXdHqOUAJvVn+ nr6zRg7ZqiTEJzvIYHYG8Xyu/h4YGvxQadC3DYLajFid7DZBtQPTi/KOdeCm K0PHrrEGesomxDRSl4H4yrVg8pEFcGa1/IV/+Azo0L/R6sHzF6jwfj0le3oY rDP6Tx3z+wHGKWf5AoTrgXJ4RqGZURK6If1HnI+1CcXFPGI6VNSDTidp0Xm/ HEH/RDt8lbr+ItKg/cmo+Rnkkb5DkF5aQLvcZ6yDvJYR6On7atO2ih5/O15a c2gdyWjtO79AQr1hHvH+0Vvo0oT5AuWLHfTXlP9U2bM9ZE2VTi9fQ4YPEoNq 3N6QY//HZikRtyjwwvcTQ5TGlDhS4H1mCB0VpmuKWAoqo8JLhIvsL2yosdMp nJ82RY0zAnZJEp40+IbS0V97v2hwss637aUTtDi7tWOsO44W62kLbUZ20uLN UMGEdQo6LB3pOyYoRoelzl0iIx2lw+zLHg0px+hwi5NhJYcEHba9UEUeS0OH m915Dyn00mIKcus+xRRaLKqTuf3DiBZz33gl6zpLg6FkwpNj4TSYaOlT8pqa Bi/qe1Nzh1Fj78vb+VsTVJhd7trhVl0qvHZnhoY2iRIHdGyYKvdRYM2fYWeH WSnw3vF+7QxAjqn13JPYnMjwb4/vMbnru8iBnj1ZhG8HleZomY5Jb6HymqPf zWVJSOCe48UOoXXUN6R66yf1GvI0A90//yyjaftIFdPiRVRP+Z9TyM4s+qbJ 88/w3hRSDCgt46McR/xqxiFzK0OIinDcZKD/J2K/UBgscuMbWg5w39k7mo+e X+Vo70gtAVFdjup+X1tBi6GDzjejXhA0KZV+mGEEaAhLHMm+MA6aYfnGjZdT oMiPN2zv2ywILKsk1vssgmtWrcN17suA988gAVutAuWbHnxRikSwHZcVuba5 Dv4dSTNY/kQC1g8RKdBmCxhqBiZfn9wG5yUNGA457QJB0/hPt77uAREd2uXJ +2TQdDhfNleMHBox7BnIF5HDCEu3NIljFLBOxPCoxTsKeH/BdtuHnRIqGW53 m/hQQiZC6Nu6CkpYS37iZsHmvtx3686GHBU8p1LEmHCaCgbtFsdecaeC0dde pb4JoILlqdc7lXyoIGtFc7OcHRX8VkVNKjlOBbPCT8SuslDBz0Nqxrw/KWH7 VwH3c48ooUsYMt/QoIRcBoOXT/yigHrruqxX/Sig0LjqP4oNcricK8+mcYUc fpwTjr07SQYdFgq4zc3J4Hl3t6d8tnsguhGm+1DsgvpjL9aSU7ZB4hjrdsbB LZD2iJEyLYEEohgtHmRurIMvAk5hfRZEoBN6zd7r+SoYV4q9Hju4DC6cmz4U xL4EnEvkPPHNeaDF9XlI5NsMCNSx/ZtKMwlobVrnS9XHwGeSbAVP8xDo4aZO seXuBR/EeL1wRRs4ImOCleMRSMy+kngizBy12ygPlk0gxJR7kmolpw1Vupae lvnVg7aEP1n8NhxCMtkXlJxbR5HP9LFyPucJFJ1J+GAwMY0uHHcJ/nRmDk3N TzukWC2i6LJXy9bLS6iR2zeFNWIFffp98kEnxRr6mcJ0OP8yEW2GO6bXd6+j 00Tew9oEEipOn5m7cGETrdiJsTlHbaHeeAGnzOfbSCtZ7MX1fTxIeP+70fH+ LnrmlxnW5bCHLpbupMizkuFnPOFHTVzJsML18mX+D2R4gdrULWSODJvjxeGT wuSY5EseHGxAju+/26HZciLHSZqPY2ruk2MbkcFXn+LIcev7e/fW9nnK3/+a 0kLJ8XaBRwq2I8eMHe6pEcrkmFcjr4WZjBxfej/hEl9Lhjv+tL/VCyXDQZql pa5iZJir7E19YOweyvOeHuWq2kXexeZ9Nn07KPaj1KfJP9vIyMdx51b/FuIv o9ScwJuoglneeuYJCZW5j++6nt9AuRrqBE3OdURzjE/jP7SGNs1M8/PtVpGZ OJuY6twyKj5Y0b92eQmxBrX8/PNnAT32tdD2aJ5FQUNega9fT6N/rDT2n/0m kIBTHrFfcQxddRYKC+gaRpZR36N5VfqRm53MBb74LqTKcJv1W3sj8o8Tj3q5 VYzWuKwV9W2eAqbyL88yyGuA/c3Lsh8Ofgetz0K7dBl/ApXbYtHDAb9APV+I q97wCKj5yriYShwDDB61E8TtCfD8y7Sn3+I0KI9t8ZNonwXb4TujZskLQKDT w+Wp6BI4I8on8cB3GZCzJlysyFsB7760tjoNrAKuqpHs76Q1QMtXyWlOvw62 vUSSTtJtAMqQJpNDxA0goGriYdFFAg/GfjnaP98EQhaBsOfMFuBvDe2x2dgC bpfKNx7c3wZ15+6kS9PugBcEGto1/x3gNVDSjr/uAC3GXgoPul0woC108Pex XWBgH8DAbb4L2D16+ASsdkFg9KspMv1dwCNIrj8tsgu0fi/SUv7bAVmCAxP3 M3bAvdwJza86O6DtkFErU9c2mL70JgSZbQMJ8f4Vg89bgCXGOFCEfQv8yZDS azu3CVyuvgsefEwCzQNt7uNlG8BCsMY2un0dvL+pu365jwiiN2732nWvgby8 O+Q7NasgzOKzo+CrFRBXtgQjQ5ZBOL1gIbPOEmBrVN97QLEIgkVa1GsuzwEf qjzKwc4ZMDQZIakpMgUS7OVZPjv/BXlCjWFKaaMgWDo1nz1xGCw9zU23+NMP bgdG2C6J/QBmVBNkKfWt4HqFeICfai0oEHZ0MCp+A3gOKBFvmb9FuZOGWr26 teihURuDTVorkr+gMhg23Y1C++ITcUA/EpbVLxwaHUI5n8uMCgRHkQtNH+9U +ThabmsWDNKbRGOl24ml1dOIWepWlojoLNo6pWmpcnkeBQ+KleicXUTWC65K fW5LSJs/kKfEcxn9cOem1HRcQfHWbw70G60igv1zBQqxNVRY4xCiurCGvs5Q +FPmEZFGWZfZ1tl1lIISj+LldeSDzR02wzZQpMYza+eNDXTFQ42hypGEHL4e 3Oj8TEKLV4pUbpJtIv8t18jsY5vIr+Sqtdq5TdSRL1t9xGsTwTPSIc/36XiW b0u07SaqMnoZzK22ibwHV6L9qDbR4vX+E98wCcVYubU6e5LQIcdmxRgqEjrK OTUf/2gDyQ3rtQ3QbaDSintxbZfX0Wjbh7SRdiJiPuqR//AgEXH7Xw2ys19D u+2tyn1xq4jIpm37rGQF1U3c5dZqX0ZnGs5O+P5eQgyHA0W6RxbRZZ1NMli8 gF4uJ2jxJc2hoLZwyo9O/9BN5ZfMsSLTKILXuV+ta2K/nr1RpsHjSGq5stXt wCiaDaD+YAqGkVtAw2V3swFEKxmaGmD5E1n/IkjVmnYgTknqB05RXxFWtSf6 DZUj9q+OA4+/JyB6+hI3QnMBEKxu2RsqqAXdmUxJ35JawG4xpc2/gi5g+8bi TO/tXnA0OmGVUWsQvK5jqASXR4Dj2sodvs+jIOpIkY3Y4jhofUcTu8E9CcxT ynKPy00Df7J03QyFf8D7sXTDhOAcMPy7rDi0Ng+eti4EHDm/CGhdSp4XKy2B 7pyffGubS+BWyCDdjbJlsPss1mfAbQUcXgj0e0e3Cvh3jiTG7e+xX7K+cyqE NfB2TcbcJnUNvJrL9vpITgTxbdfWD9gRQZ4Kb61B9j6vcKVOdYQIxmio5L4x roPCxFH3Bcl10K1sIphzdB2Y3jzLu6W0Dpy/UZttHloHagdaSmt3iaBmJVw1 pI0IOvrIw07FEcH/LzAy3g== "]}, {Automatic}], Editable->False, SelectWithContents->True, Selectable->False]], "Output", CellChangeTimes->{ 3.8837234962591963`*^9, {3.883724390909018*^9, 3.8837244220350122`*^9}, 3.883810880164082*^9, 3.883812928206394*^9, 3.883816240328163*^9, 3.88477005606642*^9, 3.8847718077663813`*^9, {3.884776288180044*^9, 3.884776296428225*^9}, 3.884781651288433*^9, 3.884783715413142*^9, 3.884783866733839*^9, 3.8848451181350594`*^9, 3.884845202040873*^9}, CellLabel-> "Out[141]=",ExpressionUUID->"d9d2f208-91ba-45f6-91f1-796d024440a9"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV03k01P0XB3BFk8mSvVEJhbIVqUeW3FtIlG0aFfUopYVHKcvEYKZ68CCy pFHWpBn0WKLsyVqpUURJUYhGzXdQKurJ8pvfH/d8zuvc87nnnvM+V/OIP/XY QjExsThR/f91qCwoXiL2BZRlMLyDJIQlJiGf+AGTsCgspKVQ5KeldmtaPn4H 2pHaUqbIcQbLPHP2T8PClkXbnETeVci/Fsb7BXJZHucoIkvrVHbvs5qBiC/V 1HeLhNB+M0p2U9kcONRrdGeKrOOksJ3OW4Aar9PqpESOlmYcGpEQxxZ/1ro6 CSHwnw6FU60k0OxwgOUxkbl2ZVXry0iYvZPhXiguBBJJ9VWmYDEmYOIRa5GP t56fXKJFxkDlg1K9C0Xzt7kYjrKl8H0tuH9dIJo/X+Xg1imNRSd/zgWLzK9X P9lClsWB2TinH2JC2JN17oWzlRzuT+zlD88T8He4/iCpTw4Z1v76e0S+e2Bg vP6cPGraMtTq5whQXG4nbVCmgHNGY+QLswRY//pv+bCjIm5a4SbRN0NAYG+J brpAESeoxkUbRO5mq9hJaikjDXS+tv1HwBVF/oUR9jK8nIfP6qYJaJ28npRh QkGzlAwLYoqA7y8cc6idFHQ/EUpTFpmWVHG/kbwc02Ud/3X/ToCSTNR0ZvhK nIyvGbj5hQAb4RYSTVUNc8/IjOdPEBDEEypJVaqhYtWhmvxxAl7G0jaGTqxC G7/56DQhAQ7iKZV6ZRrorJb7zvQTAR8mia3R8xro5MPqVBglgPHB9uGQoyam RVL++fSRgNtNv7qvCTSRrBsGkcMELDnv9ZWktQbLZForwt8T8HTGyGCYrY2N Q7Upgd0E9LNVxXoIbUyhuxj3vSBgzGjhyzbUQVLPJMeykwC5Y91hJQIdrDun 7jXWTsDeZ8G8UKt1eGW41Y70iIChrFpfOb4eBj71bFapImDSNM9K3EIfc/fO DapVECDRdUlhKlEft1FQRv0uATqkP2v7zAxwQFhPX1pKgN/peXJ+giG69JdL FXIJCFe/+TJ7uRHGrB60akolIMqPbUWxNcKeofV9PikEXK6JK0j2N0LqxvkS 6SQCcvYEhke2GmF3tNYsXiKg+R8bLd/Txhh6x2j86AUCJL/wAzc3b8Sm5iAf th8BqY36iu0+mzGst0emwYoAj3vyY0HJmzGnecNevgUBGgXTj9RqNmOgl/Z7 STMCihJbGP6SfyD57KNcMBHl73ngg0L+H9g4fH0qcK0o/5m4MvcRU6Qfckz8 LSvK30zgPOppjsVrYt+lvRXAcsNO3aRoc7TbF++h/1oAgxqV4mYl5tgfeuNM bbcA/CQvVsXNmuPUpd8neO0CiHytqr4+0wKf01c5VD8QwL1g+/GgN5aIxtSY xlwBKJYXxC+kATLLeXMF3qL/xpNbRxiAEVt+OLUdFkDrHYuJh7mi/oDso+GD Aggqfe4aOwF4IUlBd6mbAP7ay5CKsUWM/cuKamorgGd7bnTKDiGqblbd2aUl gCQnocdKynac+FzgZzf0GZbZRPqbRtsgODRtFTh/hrqebK8PPHt0oyrhQ+Eo LN427hpW5YRtSSp+ARF8CNZNjbIhUfHU7fKbeW9GIIHw6d1/i4ZLFG06jpkO Q6iqh5638j6MyRtmVVcNgXFGw6BunTtqKMj3Fq8bhPoYYPNNDuKc1YFKmavv wH/DzyajG54oNkNf2b6sD6aUFAvTbxzGrAhv3racXlDfWXXm2lsvPNXq+yQt pgcMtdm+39YfRdqrvMsurJfQ4ZmsrhzhjeWdOb0xlV1w4LkqrfzeMaTEbG20 NnsB7aP9tUWkEyiZKZG6KLED1pka5q7efhITwt+dHdV+Br5G1TU/0nzw788O Ft4dTwGiDyUkjvrigRiLUY3mNpiVTx28peGH/Q2H7GckH0OunfjxZUGn8OpV 8vk494ew4e6876Ky02itvex6/FgLuIZR9GtH/dFwweBRoqAZiqYqZI9nnsFv 3f3zzSebgOPAfVxkdhY9SjnXHuxvhORvd1VXj5xF7al0h6q0B/D4qfMTxqUA vBewSzKu8j5MWpZvSV4biDEVS5YuXVEHchIbt/V0BmIF74Drrgs1sOZ4CPnN 6SBc+e9AzxXNamBN7d7QQA7GkvEOP96HSnjeZzXeXRaMg8KgTcZ5FaBwcNqP 60THGYMcY/fEe2Bv/Cwy/ycdMwWquz0YdyE41+fg8bRzqO+6RS88rhxEF5Us aRKCZ1vMG91Ky4Bm0n/oTV8Izn2U+Dj14g6UNwnGToSG4mxB90VP+TsgzlFR 1tZi4Oe0gGyjrBLIquy8/pDHwNVfBPyoLcVgcNT1/ZqTYVgTEHFmVKwISrwn 6u7Ih+OqfcfSNVpvg/YCmvvv0nCMUapj5JUUAp+3g6a7KwLDg3d0epUUQDqx 91PUtwjMiI23KS7IB2uuoeWNJCY6n2aTOc1ckDRTqPvzChP9W7KPNjzgQjtv ymwFm4m1J5yr39Zygfa1wZSdwcRnWYWuSne54G1JNYnnMnGpFmn3lTwuRHbR 9ULuM7FYZWxBYyQXHs01UFw+MVGTW+3YZceFuORbaTIEEy8JFOKkbLjgpBWr whtjYqTqqypb5EKPPVVpxzcmuh1MFN7fwoXR1JGllnNMVPYi0it1Rfvpkxev U2Lhfcmrgz1Sov3qx6I+qrBw7cWXFHVJLiS5dEnkqbIwb+/qrScluEChZyxc pc7C53Kf7WdnOKDbZDinqMfCxdKUsI3jHBjfoxDxwoCF7P1s+YsCDpTzp35f 3sDCmbYjKV18DphLN/4ib2bhaLydO32AA3PZt0Iem7Lwlo1Y+pM+DjQbx05H mrNwfsahRa2XA9Gtp+jbt7JwumLtq4CXHHDYR/0xDyxM8Gd3tHVy4H+QjiTR "]]}, Annotation[#, "Charting`Private`Tag$1320091#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0.04260852369335951}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, ImageSize->{749.3181818181827, Automatic}, 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->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.8837234962591963`*^9, {3.883724390909018*^9, 3.8837244220350122`*^9}, 3.883810880164082*^9, 3.883812928206394*^9, 3.883816240328163*^9, 3.88477005606642*^9, 3.8847718077663813`*^9, {3.884776288180044*^9, 3.884776296428225*^9}, 3.884781651288433*^9, 3.884783715413142*^9, 3.884783866733839*^9, 3.8848451181350594`*^9, 3.884845202103804*^9}, CellLabel-> "Out[142]=",ExpressionUUID->"e89eaa4a-d9c1-4ce7-b649-3804447d7473"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"NIntegrate", "[", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{"q", " ", RowBox[{"PsiP8He", "[", "q", "]"}]}], ")"}], "2"], ",", RowBox[{"{", RowBox[{"q", ",", "0", ",", "Infinity"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.881205288234173*^9, 3.8812053028843*^9}, 3.8812058315934973`*^9, {3.88242123801644*^9, 3.882421243014648*^9}, { 3.882421297853364*^9, 3.882421331195804*^9}, {3.88242334248276*^9, 3.882423344359261*^9}, {3.883473266407168*^9, 3.883473268464554*^9}, { 3.883479582290578*^9, 3.883479582437002*^9}, {3.883553687495833*^9, 3.8835536878555193`*^9}}, CellLabel-> "In[114]:=",ExpressionUUID->"73fcd4a8-f07c-4668-a074-8d6edd4e9c5c"], Cell[BoxData["1.5707961288234409`"], "Output", CellChangeTimes->{ 3.881205304037475*^9, {3.881205833323921*^9, 3.881205837282301*^9}, { 3.881205872114337*^9, 3.881205882012789*^9}, 3.881297116188105*^9, 3.882090935330817*^9, 3.882329838140649*^9, 3.8824210281342487`*^9, { 3.8824212406547403`*^9, 3.882421244266634*^9}, 3.8824212755250263`*^9, { 3.882421307427759*^9, 3.882421342072089*^9}, {3.8824229850364428`*^9, 3.882423043883869*^9}, 3.88242307529848*^9, {3.8824231463273973`*^9, 3.882423160190447*^9}, 3.882423346652607*^9, 3.882867355595727*^9, 3.88310583295991*^9, 3.8834687277985477`*^9, 3.883472941558489*^9, 3.883473278878297*^9, 3.883479294805578*^9, {3.883479582838084*^9, 3.8834795862419024`*^9}, {3.883553688800343*^9, 3.883553728335539*^9}, 3.883554093692698*^9, 3.883555173707074*^9, 3.883641249162043*^9, 3.883644205011154*^9, 3.8837084754117804`*^9, 3.883721115116543*^9, { 3.883722039492464*^9, 3.883722043643057*^9}, 3.883810884806055*^9, 3.884770059187111*^9, 3.884771812950027*^9, 3.884776300339046*^9, 3.8847816551406918`*^9, 3.884845122442842*^9}, CellLabel-> "Out[114]=",ExpressionUUID->"b292c6e4-b561-40fc-b3d8-c2d5ffcbf75c"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"PsiP8He", "[", "q", "]"}], ",", RowBox[{"{", RowBox[{"q", ",", "0", ",", "5"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.881038555156019*^9, 3.881038640793738*^9}, { 3.88120183848323*^9, 3.881201839189108*^9}, {3.881201927015479*^9, 3.8812019395020847`*^9}, {3.881205040564049*^9, 3.8812050519065933`*^9}, { 3.8812052078525248`*^9, 3.8812052105209427`*^9}, {3.8824213624532003`*^9, 3.882421379359367*^9}, {3.882423060474876*^9, 3.88242306952956*^9}, 3.8834732814449577`*^9, {3.883553735126048*^9, 3.883553735494109*^9}, { 3.8835540985421658`*^9, 3.883554102218004*^9}}, CellLabel-> "In[115]:=",ExpressionUUID->"4207567b-0a7c-4cc5-81be-75f2e42df3dc"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVlnc81d8fx3Evca+43DQoK1GRIhLR+5hFKskmSfa8aCgjSbhGIZsyomTc UvgiHLJCKaNSaZIV2Xv97u+vz+P5+Jz3fp0hZutpaM/GwsKyh8DC8v/v/UBb Djk7v6PC+snbtqYLoIYuUX1TUXP4YHRyCx+T15tqbomKOkOn3BxlJU0A8cSV PSP1eEOvRx3HZybfr40WYRe9BicfrCw8ZrLMuN2ddccbkGa6aciJyd94Hqyt fAqG64rx3UJMlnjEdWhp+TYc6ZLEtakCyE3tsvu8CB3qWhLyTJn8ovtnzoxm FHwraIn9mSKAllz1eycd7wIvW6ufJZMzWXvp89qx0Khd7fg6WQBpvY3dNfcp Dla/DplIMXko+VjdjHM8+PAW6/kmCaAou1Wr6eUE2EpK0XqZKIC6lp3iJ0RS wEnW88yWBAF0pVn4wHhxKlg2rToeiBdAgve628Y00+H45GjkkXsCyHYvIvx1 zICymRvE3bECiG35+rsZ/0ywH6s4xxUjgLp/Gu+Y0c6CQzlBb3vvCCDfQnLF 1KdscP51YNk8SgDpxQ1wTGU+BPpATg0hUgBt960zmnTOgcfRlQ8z6AKoVvPq xPhyLsRP7PtRFCqANnz9LTUm8gQq3MN9JYIEUE9t9eXRoSdgshaWez5QAOU/ Sq7/W5wPYu3rvNH+AuiU96nzI5qFwH8qoKjGVwAlclUmDjo+hXcr8sEBNAFU clXP22frMzDe/4jvhIcASh9R2jbt/wxym7+xkt0EkMd7fscp7WJweemx1dZR APGnv2ab/PQc+KrUn7qfE0DLPGVPaKovIGdG4UO7hQDqv/nQYCLzBRz9djtU 3EwAlTkGPhh3LoFkUUZ2lqEAsjiooPJvuRSWyFqu6zoCKKs1w+uvSAV8DXMd ObpPAM0kl+79EVUB340o34L2CCAdx7a+zsUK0C4Z8n+xSwCNEuaNK7sqIZr9 98jIDgF0WO2UCj2sCngfPkl8uFEAvX+6wiY1joHFWNRMe2QT4gcu642ytXBX 7eZE4p9N6IhkvEqYXS2QH/T//PxzE7oz82T6ekctmDzbunjw0yakEPvB3rag DjovSFuo1G9CN1pl9OTO1wPjWd6P1ORNKK/4P8mChHpIQk2vN9zbhDqTNQi7 3tTDu9C/HxyiNyEJR7OqrcoNQK68dm/55ibUSgiRZaE2wrvJnRI3XTahzWpf +d81NcFw1LoKl/ImxHhK/+om2wr0tmf3rr6hohH+kSi9C61QYugvVttIRVJX 9I7ujm+FuaZj2ms1VJSpSs7qW2yF7tya25bFVBTXEuVg0dgGyxrR7mkJVHSl 7+7kMau3MCYlJ65mRUUZ5LZbfNrvQWV170b33/zIETpSRr27IPDm07zmD3yI JXuu8mtkF1geulEp8JYPJRO397bmdMG1qnW7cw186HWLg/CTj12g3RSPPz/n Q7uNVrLtVbph6+Av6fC7fGjISarwO+sHOJ3FOfL6GB9yiQuoeR/zEYQkYg5q lFCQx589fSWMzyBG/iGdzsKLSGIhUj8O/4QPAc8FtkZzoTuUtr1ZNn0g9NIn MT+MiGy/GmHCmwEY3WGTXcC1DqS0X+5enwegbev7S239a/DcwmP7j4EBeMTb doeldg0IX8KuVbIOwjUfm4H8K2uQ01N50EtpEK78mjjA9mcVBj6I5n3PHgR5 vgetrY0r4PJ+NKbi2hC4PAugKiQvgVdjiK2n1AicZB1Slbw1B8L9OhxzB0eg +XHtqojDHLSxceX7oxHIoV35Ias7B7tQ9CTdfARavulvjuKdg8+VCUE5kSOw Z0cM1ro/C+rPHj34PD4CJ0iflourZoAv7fUXzfK/8NaMbS6KPA01FRGBrQ1/ 4Z6vhPOBySlw7dEXP9PxF45oxWoMf5yCRoEOZ+uRv/C5P3p3WvYUXIv5vOC7 fRSAw6ZqXWUKft0e2cwIGgV29VcBbZ6TUEzjPrtVdwx+y38daeochzep1GtF JmNwIXloyj5jHAYaBDM07MZgaG1D9yG3cRDctuev240xSEixXnfnGIeQOu1b daVjkOtNXj2g9g9M+G+8cBH/Bwey73ezlIzC0otJavXyPyhc2336ctMwbPq+ oGzIxYzz+sFxlZRhkOVksRncPA5yj0/F73cbhotWPIV88uOwLFjyO59/GN4Q pbUcnMaBQvkd9/vCEDwwtrvE+2EcjkCK+TGuQcjycx05YDoBZxQKau39+uFA LddC2LkJSDIMFmeY9EMtMY/9x8UJuL77ZIqwfD/8jO4XjaZNgOJ17qCrw30g nHnOdJg+AT0jh7Q2WPRBasPphqyqCShNCfh+R+M3xG1UeMAvPgllqP9n5YGf IG7YWeC8exIyJZQO/Kb8hOJEWkWt7CRodnS5Wf/+Ae9Firo9jkzCr7+3pS/Z /QAeeUlym9EkuD1IqRVz+w4RJlt9b4VNwvl9ke9s6L0QnLFyZmZ0Epwf/snW XOoBgwPlXtLTk+Byq9CttqEHhOt8Ym0XJ2EuOis66G4PVP4eef+efQp+aonL tO7qgaldn08XCU+B580BpUDjT2BbWHrSwWAK6tdapLTqPoB6hYduz4spONur 77K1pRN49PY681ZOgWHCWFNhWif0fvkTrlM7BUkL4Tw3PDrBd8XqdcmbKRhw 3l7Uu6kTnsGJY7F/piDXbJ/eVbsOEG2S0tbbMg1H52xm2XjfA0vXT1R1fRq+ HNn3zEe0DUKGa7Ku35yGjVGchxbetgIXy3025fBp6LKv1mT1bwX+feYNpQnT kPNyVSrjcwvsCus49vTZNPANBLmupr4GvSOvTmUPTEPJy+N3vys2wb2HD63C DWdgsuH8LGdLHWytvFmtYz4DMnsUVI6G1kH6+/PC7DYzcDuOL25Ysw4erQr9 vOk+A8F3rBiZtbVQbhp/0S98Bh75lHBx3sDQS77t4lEzA1Q315uXc1+C5CUH X6O9s1C1mYf/XlIJ7FP5cTbjwCx8BLHxboUSUGAx2z9yaBauyf33pK3zBWhE 6Q7c0JwFcaf4792UF2CdI2NUYDULXGab7DQSiiGxe2o/291ZoBAu/PwYUAT3 U13JJxNmYdf8hL5+eyHk2PQPJKXNwpHnQt82iRbC89EP9/flzYKiWGJHSnM+ tBMryOZ1s1D48TaHvmQesCveGHw6PQvmS1U8QmIPgXt5/tXS4iwY51/j2h6a Dfx1tAfaLHMA/wmzW4xmgehJW+Ov3HOg9VwiPKwqE1Tttes5JOeAq0RIgf1T OlxKIGecM5uDP2o5avfY46F/NsmEXD0HJzQxmnGmQbb6QZ9v9XMQZvd+Mvaj E5yPbr/7tHUOpPbJnTo/ZgNfJNhbzvbMQefWd2+aPHdBx1nvI+nTc/BD+Ify gyE3XFOsL7pv7zxEhflMXfe+jf1XB1XXD8xDb7x67WmJMKyse8u8Q2keel6G n77VEY5LflbEXdaeB4HuXFFR4SiczyvFXmMzD//t4/5OQ7E4yZ115FTSPAh1 LvxgUU7CRhXpHGIP5oG2h7XL4l8S5mc/vHM6Zx7YlGMlErOS8Z10D6uk5/Mw udlNuJo1FYe0fW3/8XYeyvp808SepGPanrIXNOICqL8wa/Npy8Syl8+81yAv gEfhn+2/BLLw39rR0U38C7BP94SI6fks7GC2U7JCZAF6282oF8ez8LmwmGTW IwuQZRwXtpP4EOv9cQmI81qAuIYTDDprLtYJ2Fmo5bsAN1kU7wiq5mINgd4v c4ELYPfxycGuy7lYRfvkYcuoBbih1SBUN5CL9+bun975eAGe3dRUL6l5hCXV hsQ+Fi1AY/2MQt7UIyz+IdMgvGQB0sfvurfveowF2fkZo3ULcMHY8EsZ/TEm 2884lfYuwOFD1Q+FjudhztXCJMe+BQA91+bGy3mYmGDftG1kAardMjwLs/Pw SsPHnYHzC5B30txCYSkPj0pUfNfhX4SIbUMVZzKf4Df9AUY9xxZhh/hj056W fPza/9CtiFOLICV4UPrn33zcsGm8WNV4EQJUuNUPbyzAVVo2vFm2i/AlN2H9 28kCXJij0eocsAgsv0LExZoLcJ7q8oJQyCJ0TW91edNXgHO6X0i1RyyCo7eZ V8d6AU4n7rotn7wIZ1IkXMYUC3G03Qa0/HwRkmvw9ejUQhyxgj2KKhbBO/Kh qtTzQhwa73v/fO0i+OfLL+1sKcSBDcNL9W8XwXni15TebCG+bpW950r3Iuw3 qKRdJRXhKzMWZru/LsJNW4YnWaQIe0i8KY0aWgR59s2uHjpF2KUqpP/o+CL4 HaJkg3kRdjBSo07OLoKyycF3/q5F2DqEQTMmLMG5yarLcKcIn+qPkRYWXoIA 95UHxLdF+I10f7eVxBIMPDtYfuFLET7hoxSYtncJ3ARpCdqDRfg42/f3W5WW AKLlN+euF+EmXbnrpmpLIL9n4JI4mYG1Y0N2JmouQdnOpY17NzOwhqj0FarB Ehj9Ezz3dS8D1zoGihiaLMHQLYnXoQoMDE87XsdYLYHVjvBPWI2BVY/6CvE4 L4Fz7get76cYuPJ2W4O+5xL8OBB9ptGEgQ+/FfaIvLwEo4IqNmrWDKxo1VjL GbwEk/UxPX2uDFzycKvLsfAlyOP8OkL1ZmD5v67U0DtL4PjD0qDnKgM/k8dV DfFLoMd75atcAAPLXud3IKQx6xdrPicWzMCFdfa8GllLUHpVKu9xKANLc1WU Bz1egvWL+RGNEQycb8Bti4uW4CN60O13h4F3J58nr71YgqCIKKO2WAZ+9ON5 iWrlEtxfUO4piWfgXVIc1n61zH6lPJJRTmLgHA/zDZVNS/D370Zh8xQGFi8r fLbwZgm01wauCqQxcObqurlS1xI0hfcTPdMZWET7LOHK5yW4wT17x+E+Az+I elRY8mMJKic1fqwweXv3ovH0nyVQfKxQI/+AgVOFTq7LjS4B2yu3aU4mb7uY mUebYvZTuFU7iLk+OX/6zNOFJTBhdfJLYfrfPKWzPLa2BDEqD8yNmfHjlVNz ZNiXIfcYa24JMz/qzbGTruRliLpqK1bOzD/uNZp/wrcMYrzvY20SGJhCic8c 2rIMZI+EckYcA98xHdSVEl6G/xSOmD68y8AbM1Sm7SWY7BImC1EMHDUQnZ6z dxmWcgPWgsMZmCT7S7vvwDI0yp8P9Qxh4PDLCuNiSsvArVoQwh7EwBzVYck2 asuwPiP8n7YfAxP0Zf9+012GGYcnBc00Bg6+dzN+u8EyeEt7/yEx58/ytVvN 0mQZCjc2ayzbMfCKs19Mjy1z/TPp0wOmDHy9uF15i/MyrIX0e/42YODFBbE+ Y89lgEW/pDu6DDwX9lqxy28ZhJTOflxUZuBL74R+8AUvQ/7vw+aVcgw8vdkz 3CB8GTrP6lbu28PAE7kCX9/GL4PPyMKf/VsYeKTeNuh10TJkbRO/WDpehEVi e1zulCxDzNag70r9RdjI+pSx0ctluJjZdNChpwjXLCjv/fl6GbDx7d8tuAjH 7ePrnu9bhrSiF0aNEUW4eSm0pnpkGeo4fPJr/IvwSvNK3q3JZTCP9C508WDu b9uhAN71ZbDtXid9NyjCR5KwlJTgCgil7TfU5S/CNDtF/jHRFdiWOnpgnLUI P5IrWHkutQKHdiqePDVZiClvEjuOKq7Av/IBnyPvCnE/i4eficEKTMeJlA+G FeIol+3vboeuQN2d/teHxgpwnVJcxYnoFUgPWX3R3lOA54icOXzxKyDfQgaZ hgJskzHtez9rBSpWKNJHUguwQnereGnVClA19L9XaRbgb2rXrvRPrYBJguGD iah8LMv3cYfm+VWYlZII+beShweiB4IT7FfhaP73BvP+PHyfND846LoKvz8K yeS25WFu4tbnUb6roLV/2ed7Sh4emTPX+Ri7Cju2mP0dUsjDub3fPJwbVkHu W45mm/1jvD3vD767Zw0urbVupZTlYhLMXuidXoNDVwPVandn42NjFvPixizo lqFgRGdjPH6w6VbXDTMWNFtZqKEaGY9njhQ87bVkQbEemimNBvE4M2LZMdGW BVXaXWRX7r2Hl6TSe7hoLEjspMynpzNxuND2W8VEBAuypd03VZeJxZSe8/41 tSxofumhYoFXJHZYDzMTamBBEQEFHTwckbhK8pmCbzMLenZ6v29bagR2vswy JtfOgoS3i4YZNtLxK/6sc7lfWRArd0vuE+FwfOnk76NRcyxoF9pYS+wLwT2v 7FgtZFiRjHfNozi3ADyh/kUwYD8rSqV0OGVW+uMNdacVMuVZUbOWyrwDlz8+ hFUcBw6zImGuMVGxJ9dx/EvKW29tVhR45Wi25eRVfLqkKjnSmhWxsD7cRcv1 xk25mw5Ux7Ci6/4uAsFwAX+XiND9eY8V6V883LpCtsGzD9dtCUmsaL7aFPOX nMMS2SMJuvdZ0eZi9lels2Y4+EHt8ocnrMiq/25og9ppfDTJrfnfK1ZkniiY bFG8E0rDG6xFZ1nRsUaXjz+FbCFPr21r2AIratPX0S6Ruwip3J2dY8usiGD9 kiNT2w6CYn7ovGRjQ8WPv//Ejg6gn7wka0JhQ4cpPK92JLjA78cH1iOl2ZBa XpD8Lj0v+OCsVDEly4YaHLuevW30gtfSR33M5dlQ+QbvU8HIG4qenhiUVGZD 5lm5QDnoA77/Obyr02FDbTLZo3Xcl4GnOT1j/gIbelZVNZkW5wus9Ifm1vZs KD54tEpg3Rdm9PKpjU5siMXzvPADl2vwuf2/sDhPNvTyxNO4r0evQ87HTs99 AWyI+8UpDUqvH6gMcKKLyWxoMLfjXcZwIDiwX/7Z3s6Gjnl15X/bEwyCIi2f ljvY0GcHIt9/p4Kh/fCOd7s/sKE9IUn7ZHyC4ZBbY3XwVzbkIXvLYKQyGDi6 BNIODTHrqch491L7FuRmlhk/YCWg3+V2p38fDwGzStLJNiIBvZOLYNx1DAHu bmuthQ0EtN/4omTv7RC4tGHDQUMeAsp9Tzt5ti4EtDxMKRxCBLQ017Sp7uBt 6D+y0OquQEDOypl7OzhCIdlY/1WqEgFF3CxljRYJBX3PzIpmFQJK4bnd/1cp FEqyj+eJqRNQ1raPX+85hkIIV8rtDycJ6M8lA774V6FweOeYP9sZArpr9/2V Z08ojKqqX9pvRECNK2eeTIyFghFt2JZuQUAD5iLyfVvCQOKTMlJzJKCWHxu3 3nMMg56JaCUXFwJiO3vBMPN6GESRfssmuRNQ545dG4yjw2BGLWLHpA8BkdJy SWXFYdCQ82UpJ4iAyuI1Kq3nwsC3Rnaq4xYBqedPsz/jCAeZnuDhtVACGloP lS7YHA7xZOkes2gCevNV6UimYjhc9PYr5U4loJuNRNY7nuFwSP576Z77BLSj y6tjyj8cSFOoTCeTgDbwnJHfEBEOz7w4/gt6REBjn593w8NwWKHFls88J6BH N+vnFzrC4d2BmXK+MgJSVjPN/d0bDtkTJhWyFQTUkR2nGzgYDrq07ZVOmIDI +64w3iyHQ6Ln45e9bQTEfPmGtIvSwXk/qWqxnYDOPV8MNNhDB9Vxt6rNnQT0 kEVvKFSODn0e8tUGPQQ0YZGsw69OhzLZhGr3rwTUy/DrdTxOh4h/89UR3wmo ejFY3Oc0HQ54VNc09BMQ9+mThEIrOhBkRfGvQQL6st6IvtjS4eNYMF4bIaCg DW98sBMd/N2P1x6eJKD+Izpsz3zocHpfQa3xDAGVPhBjq/Klg/jYxjrveQKy /GGCggLo0OLWVVe4SkD/XNpfyYfSIV3m0KsWFiISlCIXiUXQgTaa/GqAQERv G+PFWqPpoFm4/IqwgYjcN/zwkYmlw2Y363pREhHJu0bOH4+nw7B0Xb3aRiL6 qunEIppEh6q/OxssKES0/a3n7+IUOtwtCG24SiWiHRrNk2tpdLB1HW6I30xE 1TPVwRse0EFRWr+xeBsRcTq8GW7LoAPnX0Zj+3YiSj1/z08/iw69+XxNf0WI qHzj1yh6Nh2eulxq4txJRFgwzvvWQzoE7/3UtEuSiETb3txUyaGDyYhys8Ye IsoQbOB9yuQ9+enN52WIKPxLt9cvJq84rzf77yeil+8DVzuY/G6P7esUeSKy +HSR8yaTs4cbXpcpEpHPms7QP6b/K0+kWroOE5FNEXlaiMm6zhEtE0eI6Fdj SSAnM5/te8ZaNgIR9Tdf/FWSSYeJodOtezWI6NWcqZcYs576vOetx7SJyDFw LOTUfTokOgm02R0novjUdG9VZj+cd/u23TxBRHY1CzF/k5n6GfrS9uAUEb2v enrIKpEOvHlqb16eIaKyqfDKO/fo8Nsx802PERGxetn53IqhQ6kU4e2sKRGF 7lYpV2HOK3zQ/i2/JRGd37ztZwmdDvsdpdv1LxBRW0+64vRNOnx3FvEssiOi XdyXncyZeohyo1J4nIio21zV8BpTL8Ney2feeRDRmroT15A7HZIvjU/t9yai m4LeZUpMvelc7bsXc5mIVCVefNZg6vGhf9uHM/5EVDS3VTPamA6GN/CV5zeY +e+/4/z2FB1Ygl9sod4iokvin5taj9HhXFiaeTediDYtGAyuHabDljjXbyZJ RHT26z1u8610aIo/H/hfKhFtucd+6C4vHS4lnRXZ+oCIRpJtBUM56NCRfuTC 5xxm/9nyPv43HQ6Rj8l/LJ8T0UA9xVupLRxU8tdvV5USkVeaQfON2nAYKpyW 3FFBRCVHr5+LKg0H7edfnb5jIuJ1zeKdeRAO61UFozZviahz056fXMzzhIEz ouveE9GF8KzYINtwsHp1T1a8m4jI69Vc2DgcKpr9aH1fiChJV4mScCQcfDpP zNgPEZHcycX6YmI4DA7+XXYhsKPRx0fZKczzL3HkR3obBzuCavlWpYAw0Brr UpMhsaMtespmsu5hkDX18sYYhR0dOnUmmq4fBparkQSaMDvyyU8PJXKFwTt+ GfJlZXZ0Sp6l0P1aKBx1dx9OU2VHefdzveaZ5zmjmdH8CthR6EU5CyuTULjj LxdC0WFHf3eUz5fLM++DgUOrBYbsqNJmdkvz8G1orVAf/+3KjkzZLwqHnLkN jTamXQYP2NFdpUKfPq4QeMkITpMhcCBV8xe+NQduAoe+sWASBwcivb774dnm m3BmWCqFlcSB3IRU78WsBMHgzreJHykciLte+eW210FATdkSFyTMgTYP7fA5 Zx0ErrcKw7uVOdCoG+eBNd4bIGT28bI/jQOdnV0f8cvxAz/WvQZvvnEg1w8J l0ULLwGp9/pxj5IN6ENVmYPMwjnmu/DJxrv/bUDVzWJBbOgcXODv6XxauQFZ t2A2o3ArKD+ueG6ydgPyYVn94y5oCQ6l416X3m5Am4ww730tM+Y72S7t+sAG dO+z2/WfxYbgq37qX+hWTsTr9OHgv16AnF7/F4+FONExm/uOGhpq8O5qge9r YU70veWVH0e+CkgyOAmkXZwovfHVltEgRegSrN8SLceJPM8dLN2SIgmyM0rq 9/Q4Ub3MnQcCWmL4zyOx+Ax/TjRzZZ/dZ3QMj4b8WiQEcSJV1f1cFf7H8ZRt 1nmnW5zIrKZ+ZKpMF7OIiEnLRXAirY4dvp6S+lgwSfTVqyRO1GRZ3l7sa4AN wkQm/jznRHuiDZzYhYxxleMOfZlhTrSW3nqRUnEO12t/K44Z5UTykcK73I9Y 49ad97fMjnOinemM+f4qa/zpx/a+6jlOxAifPiVRfR5PmW6/fprIhZ6lD4y4 frbBu48L5XmLcKGNHIO99hW2OH73NmKFMRfSd1f0zBBzwFbWko/7zLiQkU/o 7E8DBywRf1CPx4oLPbiiVPbyhgMuWT8Zc9GWC51r/9Ch2uuAuz8Gb+fx5EKq kV1U9xhHTL09qnAxnAvlXy3vuv3HCX+pXPwUHcmF+kwXLlnwOOPsCQ6/8jtc SJCyy/H1IWcsbyVWtzGBC139qHCRFuqMDQ+anCzP4kKHk4zGJkVdcNwvbL/x JReyF9hW3Kzhii22vOU8XMOF/tlT/JXsXbH4yS8FtnVcaJt36h31MFf8vHxm 8r9mLnRXf/cfiVZX3Hl3T6BtNxcqn77KIn3CDfMdvZf43xgXUo70bNVXccc9 PpnKvye40MnqSWN3E3ec+aSol3uGC+UduTK+x9sdHxB4LW67xIXSbkz2XM1z xwajKwzuDSTEJz5x24XigWNSHZoviJLQxnKn/LdvPfDVK8E+/jtJKOLqfsOz fR7Y2vCBSJIkCRVwSJv7LXhgGdLHq29kSAh7/XfwhZgnbrmmvVtJmYRiHOM4 mj098TPjC91nVEnokxbbXbtgT5wsFxDkBiQkeyumPzfeEzsMl/RkaZPQdLlv xaZyT8xmLkHnNmTa1wf65y154mEFpChlTEIZWV/GFNhp+D3F6pe6GQl5feQ+ NcRNwxmv7ylftSahwLLCiGYhGlY9TBj55UJCQ8UvxlyUaHjnJpHEFXcSUt/1 e2u/Gg2TJlQ0tngx7Rsa3h/QouGex96p+ldJqNau11zbgIYvb/mt998tEir9 EcFh7UDDVtOrcx2hJEQ/z2i94krDWu+2PRylk5CfZyWnHY2G+cPOLIvFkJCU BJtH1TUaXrR1f6x6j4TuTid1SQXS8M+j9LOmiSQknt+y3ymYhhlztQVR6Uz7 BYcTThE0nNDZa/o4g4TSBkRO7L5Dw/6MBcKrbBLa78LzqjqWhk84HLCazyOh 6J5Xyc7JNCyvoc/JX0hCIjYVKkFpNCwo7FQi85SErpRr97g9oOGhDxnctqUk VK68Ifr1Qxp+V/yy3L+chM7ZoyGlRzRcFv3JLuklCeU4b24OyKPh+87TlOc1 JMR+YZt+aj4Nh2jzVr+pI6GfZnyp0YU07Com7TzYQEJFnatdpgwaNlzVEWB7 TUJ3tAV2LD6lYZXPtnXb20job0ZDslcxDYuVBrortZPQj9cMl7rnNMwZm7rN sIOEtMULy4Ze0PCEW1mjWzcJSZBaMwdLaPjT8U6vsE9Mf1Z6J2tKabhG4t+O 7C8k9G82+6dbGQ3nspBaq74x/SsE3JhmclTvriuffpKQpH/pKcP/aNinXF18 qo+EFEotfOhMtog/1849SEKHOov4U5i8/QVJyHWEhLbdu+YfwOQfHf85toyR EHWyr+Igk7Mn7EqkJknI/KHu8kumfzteftbQGaY+R3S9NjNZUhaf7J9nzr+z UV+Tmd+wvluqxjIJ3bj+o0aDmX+h67bBzDUSmjRaXNjErM8joungOisZ6XqU ylQy+3HgiU/QOXYy2ls8Eyn/jIanm0XfvuQko5W9H48HMvtZNvB2myA3GWmc KUu4z+y3L7ufgy8vGXXoyObGMOehIrH7xUd+MjITo+abMue1qvFhXWEzGXHv v/xpKpeGg4P2p0xuJ6OjvQLXHmUy9ZnR++e0KBk55Sca4fs0vKGGLs/YyeTE LVJFqcz+Lfe1uewlo90tHMGc8TR8SjB2a8s+MqJwXfK5EkPDfMpH7aXkyMho 6Nu+yigaTrySvNanREYD9v866kNo2CxB+4TGETLqr1aWjAiiYaGSqaTMo2Sk V9myVcqfhjMn9eXOaZORceDeZ3+8afiJG6vdR0Mycg8uSPSzpmG3SMYzBRMy Omh9pXXFjIZl8y1X48zJyC1B3cDkLA0/HyxNPG1DRqaBQvvvHaPhKluXltfu ZLRRkmSgIkvDgTe3bJbyIiPhlNbdIVI0rJ7ZYHv7EhntrzzLnydKw03fhFfU /chICYSXAvmZ54VZl+zLcDLKsknJ/z7kieOuBvltiyKjpdbxTyKfPbFx4r7X V++SUYXYf/9tbfHEX7rCLigkklHT0l6rg3meuP+UanzRQ6b9SPSfrRc98YJW 7mJGDRlZqbTuJL/xwP4vM2411JGR0G2/v6YVHphFPnXjcAMZqR5P2+b2yANv ELkrJt9GRiyOZOnRGx5486KvbsMnMlpWZ/3P+IAHPliknzI0QUYk3j1Xdoa5 Yw+BmcNyO7lRf21tuAmvG56K/PfKWJIbnRvlWtWfc8WX2Yb1r+/hRhzqlZu2 fHPF/uPfbOr3cyPdFw0VUvmuOLKlOdxYlRsVyKUXaDPvl7yAtJ5rxtxI6J5n VauLC+77o+H7KowbqdmzGhRlOGGNjPbsvZHc6N8JEQWjG04408zibdwdbnSe IyXwg7UTtm7zEr+YwI24ntCVnXcw779nmW8ID7mRlKbbn9/JjrjTb01Uu4Yb XT4omhZJd8Cv+Cpbmme40eP+NgaPsR3OVpMTenthI7rBE7p1j/V5XHT7Mp/j Ph70SnLvdThyAo+qngu+fYAHHRYPYjN9oYdlZrSmHx7kQVefVO/IktbD+bab PvxU5kFGXvqSHdt1cR68SLbQ4UG3nA4OVrEewzmLEyKnzvOg8DckQvZHDZzq 7iarGMuDuugm6TkOiviLhFHG2Xge9E7gmeRRRwW8rfcIxTuJB+nMKGheczqI k/XIU4z7PKg2O4Tjq5scTpDKL92dz4Pu8MXWzy/txTG/BlW31/Ogomr/8si1 zTjM+OIJwiwPevyMTBe1FIfs071W9gs8iJJL5U80lIAqXWOP5mUeZH3ygJ/Q cUmYUjsWG8nGi6IfXDp4fN9esJKU/kSl8KIvlfyX/4wfAPn5KVsJaV7k9cmq 6pTXYfieHHxd+wIvGnDZbZpsqAmLccuRj+14EZ9tkK8X1oRN0ZfucznxIhGl mqUyaS3QvelQ+9aDF204WlEWwqYNJc56HCb+vCi4T/qu4BMdiFDhj3NI4kWp JqMezz/rgmJv1pOwt7zo1KimJl/jaaDIOi08fc+L7srkdQC3AYzekD3W08WL PuhcmnmqaAA5O1/27/7Ci/4JpARUhhnAJtdukdYBpj/OvtJLu8/Akj/hBAcL BXk5+fbZWBnCUK6DdyorBR22ZjdOumkIH9tbUmQJFMTnz/ky5JEhPBeNGTLh oKAwP7m1W+OG4NKwPfQxNwXdMj9ZzRd4Fj6TD9Ud30ZB5SsmRqbRRtCkkDLU K0hB16yPRUwVGUHJuRVer+0UtD+ly12z3Qhinr6yThGhIOpMCJGDxxiOnz29 MryLgrZfPcyxMcIYylOdlCLlKehkhOexbZdM4FF9m7WIAgWNL8Rzk2JMIH5U NvSFIgV9eek+/LTABGhHZ7u/HqYgRrZqr+BvE9j9+6a3DFBQwjI4u58wheQ9 aUVvT1BQZ0u8JTvFDGamdXJvnaSgvM4HfIf2mMHpmql05dMUVBHWM8ijYQYc Z/Wicg0pKIN1cUuFtxlc9l90CTCnoOuDw4UT78zgvU6u7UFLpv2occjFATOQ 4TtjMWzFtHeg9QSumEF/bp6usQ0FiQdxKj6VMgfDd6a79zlSUMvQu+yFa+bA SCGI9jlR0JOxTtXiaHPgsnu6JcWFgi7X1/7hzzKH2gWODeweFCQUxl3d0WQO +8XL/vReoiC/DBBCPBYQMXrhW9wVCvolgms1RSxgoGzjh+O+FGT8wvTI5H4L eHDCvqHEj4Istk6I6RlYAPflTQ+jgimIS354bS7KApygNlUjhIKIgV9j9dMs oJ7LLW7hNgXZlu2e0n9iAdcf1N+0o1NQ8YJj7qkGCxhu9rZRjaGgQ4cPt5rP WYBWnLDZVCwFvVK8XMbFZgmZVq2n8+5REMj6JNtvtASzSTHYlERB3WV1P8R2 WkKTYMeO0fsUlB/AwV+sZwnif/wFsjOY/VNOUGs8awkBT3dvNMuioBU9Wmmo lSUoaAWt1OdQkPl0nAa/uyXE8MjMXHtEQY2Pukp7L1nC355Pf/fnUVBkp4Gc sb8lZLvv/5pWQEHad2yIZyIsYU3pa+eZIgo6snwSd8dYgjlbWOuGpxR0L0Ba d0OSJZS8kX9V/YyCJLP0PwylWwIl6XuFz3MKWvxVkHQt2xLcLkQU7ymhIJG0 4YaKx5bwWvrQkx+lFHRhVi/uSaEl3KiNTj5RQUEX22r+JJdawsi32vjFSgra 4qU9EFphCSbL0zGPqyhI50Iu2l1tCXVbpaKNayiolx/tDai1BJlDFnRCLQVZ SZA+3663hKSz0beL6ygo8FzELY0mS2Dzqr15vp6CpF/02Lx4bQnud6YDNjZS UOGx+3k9rZbQUyB5/WUTBcm48957/sYSNFvMrzi/pqDjj2bM1NstgTEQ5b2l lYL2Pso4ePudJQgSaz0a2yjotcG4VeB7S7gtNu3i85Y538qTvPs6LGHiqKSj 2DsKCpB6ejuWyVZW5hffvWfG54pdLmBy87Wo8wGdFPRmdaHQn8nySdhSupuC fN/6fCQw+X7JlOnnDxQk7LSpVJ3pn7Nzl1HYJ+Z+/+0deogZ/9K4mYHiZwqS 8yoI//3WEn5wR+n3faGgQadzS9rM/PX24uOxvRTUpZgveIFZX9mxKS34TkHp Fgp7FJj1i9nvUh/7QUH/OQs74EZLiAo2U0v7RUG7WEn8BGb/5jMilXX7KMis cbPHOrYE2+oaxfl+pl4sfr0sqbKE9i+TcrkDFORjE6y2kzkf5QUJ2bNDzHk7 RyueYM4vR8BsL+sIBR1Y4B2UKWbq4WCk5NO/TP16xyS8Zs57wH1SmDzOjCe5 vCj70BLOREoIVUww9UXTVl66bwlVeaZbHKcoSP/lifCgZEu411fNWz/LXL+q 746jmHpkmSR7zVPQKo9OjG+oJbgIS3CKLFJQu85s79gNS0DmESx+KxR047I2 P4+3JRRcqV7ZvUZBPTcvRFa4WMLm+ImFj+sUpPFW6rT4RUsYazeZlCfwIf4P p3plmPsnVWvn7xEuPvRay1Ra9oAlsNuafE8m86HH6sICbyQtgXaD/kVnIx8q OGaVsWeHJRyrHO/MpvCh6Bf5zRJcljCzv6reYgsfKhVo+7bzuwWcFDLObZXg Q/Ym99gj/C0guV+21lKSD9l23LgjQ7OA/iLOr6NSfChkteFc2kUL8EdVFF5p PhQsf/TLd10LKLTf6X9Wjg+d5YvIIW6yANKzScNeNT7kfkaee0OGOZhca3N3 Bz7Uf1GtKvquOWRr5IavIT7knZq+0H/DHJQ/mNWIavEhkQva+zlszMFpCe+x 1+NDDOGYk0LC5tCsdYflnwkfMkphe9Eeawb8PE5CN8z4UJnQ+ys3bpiB9Sf1 QxQLPrQk3wrs7mYw5zzrKn+OD31RPMsee8wMJO9afbpykQ+ZVrtcLF4yhZDP exnrnnzomCknh4m5Kah7NFvy0fmQVr+UsMqSMSz1DOs0RPChRGHbOclfxlCi yS1/NYoP9YZ4nB5tNgbJbWc4v93lQ8Qvv7nYEoyBu+FLSV4iH2K5uOuU3T5j 6Nn2byPK4UMj76tqzE2NgNa4qdYDM/u54RdHeZwhZGy3lXgzy4eaWqsDg66d BIn6x4mnLPkR+ZJrXKy2KrTLLOT0WvGjltAeuzdvjoBv4vEXLtb8SMJuqVLQ 6Ai0OQ+/C73Aj9Q5877P2qqAN0WaCzvyIyX7dN26m4cBn2P47b/Ej7p4Pq7c alAAi4USG0o0PxrNSNse1roXYva92ttZw/R3/dyTQvvBmrzDllzBtfzog1fj /hv80zVYc2ZQ7hU/UrzCx/HIbanmn7lkbmwjP5qYvs6xLZyIT4RGiJx5w4+i dynPPwnhwxw/DDe9/8yPuEm1fKI1Itgvpm/17Qw/kj18pkQwYB+OS/PvDZjj R9JNQUfyTsvi/EcCL/ct8KNh0iEOA7H9uKfqmG/0Mj/SKt+gO2NzAB8aLpjS Z6MinS3N5aQVOTyhfmmwjZeKxCInzscLKWKHaWJHy14qMtDO5bu/rIKt87Xa rWSoqElIWUnr9BFsciGkbXwfFdFbkr9fzj6Cdd4RmgTkmP83NBCuHlPFkgVs Ly8oUdHskJXUn0g1/MeWJXdRk4q8vqlt3LYGuHcbyo7SpqL+vffUtu9CuPv9 jQyRY1RkZOwg/k8P4Yaj6ynaelS0us+/+VMCwjmCa3diDajI84jiz+rd6tiu c9l3zzkqerey0+O5hga2oh+5UmVNRQJ3Pf912GlgI+Tnc9qGivTnHWSLQzWw FmPJ/fJFKpLmOejEaNHAEhGLtnXOVFRO/ayRqa+J+9Tn9c2vUFFhCuejYzpa 2LZ4SpR+l4oui8/UzW3QwW7BZ1f0Ypn/DZZYeyR08OWzJZ+471HRdHhfoL26 Dg6fvXwnJpGKxp9vHQi5poMZyovLSfepSLRy7n7XHx28WLf+8VEBsz56vn0u 4xhmu2fz3KmIWV/yVLtm0zHMbVcXvfcpFYl3BldFfzuGhTluaTGeUxHrxUeb JcjHsZYex/PSCipKODCZbGF7HMd0ckc3NFORYpqD2QSLLk596O4U2kJFF34/ 1DpG1cUPL7VrHm+jIpvdA390d+niss0xS23tVDREu+NteFwX91pQnbo+UNGj EXN+7whdPCB9STPhExXVdd5dk0rVxeMr3cKmn6mImmbAHfFEF7NlJH740ktF +yL/dBo262Kpvm2av/uoyONRwO7FNV18oOS6cM4fKmpOVFHi59bDKre/LtoP Mv9ni5J6tuphfan7z4ZHqKjrvds5Fzk9bLKwGlkwSkVK/OcpSmp6+HyLtaP7 PyrqnYsZfXZcD3u7igpPTlLRJKn4TqG1HvZXvbn4fJqK/nFlRMs66+HbG393 X5qlogORrVLWPno4+enDyIUFKuq7nJzXFKqHs4OIjpVLVBRpHte+flcPF5yx 1/BfoSLuoSs8g8l6uES8acfRNSoqFRyg+2fp4ZppycX1dSq6b6NzsfaJHv4f I6HSdA== "]]}, Annotation[#, "Charting`Private`Tag$1319241#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.881038575677834*^9, 3.881038641420527*^9}, 3.881197788955649*^9, 3.881201519419276*^9, 3.8812015971994333`*^9, 3.881201840735798*^9, {3.881201924988084*^9, 3.881201940399811*^9}, 3.881202351635956*^9, {3.881205038351377*^9, 3.881205052665579*^9}, { 3.881205205639812*^9, 3.881205211270877*^9}, 3.881205254962636*^9, 3.881205886979726*^9, 3.881297133253644*^9, 3.882090937645055*^9, 3.8823298400211067`*^9, 3.882421029586155*^9, {3.882421344299646*^9, 3.882421379707559*^9}, {3.882423063202887*^9, 3.8824230769352703`*^9}, 3.8824231622095547`*^9, 3.8824233533152122`*^9, {3.882423484631295*^9, 3.88242349610753*^9}, 3.882867357254532*^9, 3.883105836205462*^9, 3.8834687295907087`*^9, 3.883472943923246*^9, 3.8834732821119223`*^9, 3.883479296594655*^9, 3.883479589542738*^9, 3.883553736185631*^9, { 3.883554095989285*^9, 3.883554102616744*^9}, 3.883555175933848*^9, 3.8836412513085413`*^9, 3.883644207560411*^9, 3.8837084772159433`*^9, 3.883721117066905*^9, 3.883722045873139*^9, 3.883810886735237*^9, 3.884770060803801*^9, 3.8847718146294327`*^9, 3.884776302533823*^9, 3.884781656799004*^9, 3.884845125025659*^9}, CellLabel-> "Out[115]=",ExpressionUUID->"9e1cea23-ebdd-41ff-a932-0e63fd83a6ae"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"mom8He", " ", "=", " ", RowBox[{"Sqrt", "[", RowBox[{"2", " ", "mass1", " ", RowBox[{"(", RowBox[{"-", "Esep1"}], ")"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.883473213366879*^9, 3.883473219522561*^9}}, CellLabel-> "In[116]:=",ExpressionUUID->"cee43495-67e9-47c2-94dc-2d657d1fab18"], Cell[BoxData[ RowBox[{"0.`", "\[VeryThinSpace]", "+", RowBox[{"201.85418856194192`", " ", "\[ImaginaryI]"}]}]], "Output", CellChangeTimes->{3.8834732210776253`*^9, 3.883479298313076*^9, 3.883479593673148*^9, 3.883553741398889*^9, 3.883555177567884*^9, 3.883641253471229*^9, 3.883644214269588*^9, 3.883708479707552*^9, 3.883722048284419*^9, 3.8838108885473213`*^9, 3.883816248316956*^9, 3.884770062909734*^9, 3.884771817447282*^9, 3.884776304639183*^9, 3.884781658579685*^9, 3.8848451278474073`*^9}, CellLabel-> "Out[116]=",ExpressionUUID->"40bc411b-3dce-416d-8a82-8c2dff81180d"] }, Open ]], Cell[BoxData[ RowBox[{ RowBox[{"TMatrix8He", "[", "k_", "]"}], ":=", RowBox[{ RowBox[{"-", FractionBox[ RowBox[{"p", " ", "myNorm1", " ", "myU1"}], RowBox[{"k", " ", RowBox[{"Abs", "[", "mom8He", "]"}]}]]}], " ", RowBox[{"(", RowBox[{ FractionBox[ RowBox[{"Sin", "[", RowBox[{ RowBox[{"(", RowBox[{ FractionBox["k", "p"], "-", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep1"}], "+", "myU1"}], ")"}]}]], "p"]}], ")"}], " ", "range1"}], "]"}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ FractionBox["k", "p"], "-", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep1"}], "+", "myU1"}], ")"}]}]], "p"]}], ")"}]}]], "-", FractionBox[ RowBox[{"Sin", "[", RowBox[{ RowBox[{"(", RowBox[{ FractionBox["k", "p"], "+", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep1"}], "+", "myU1"}], ")"}]}]], "p"]}], ")"}], " ", "range1"}], "]"}], RowBox[{"2", " ", RowBox[{"(", RowBox[{ FractionBox["k", "p"], "+", FractionBox[ SqrtBox[ RowBox[{"2", " ", "mass1", " ", RowBox[{"(", RowBox[{ RowBox[{"-", "Esep1"}], "+", "myU1"}], ")"}]}]], "p"]}], ")"}]}]]}], ")"}], " "}]}]], "Input", CellChangeTimes->{{3.883473173562552*^9, 3.8834731982303343`*^9}}, CellLabel-> "In[117]:=",ExpressionUUID->"f7780dc9-ccdb-4a12-879b-505da55785a3"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"TMatrix8He", "[", "k", "]"}], ",", RowBox[{"{", RowBox[{"k", ",", "0", ",", "50"}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{{3.8834732425665007`*^9, 3.883473244893527*^9}}, CellLabel-> "In[118]:=",ExpressionUUID->"8bb8b6c3-f74e-4505-9b6f-d5978af920f2"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV1Xk01dsXAPDLMyUyRNHzzCmeZ44SzjZ/UzRpwEsSuTJkaEDmZMjYVVEh elGhFHlePE6GkvRKEqGi7vfW7adykbHwO/ePs876rL3WXnudtfc+at5HdvgK MhiMQnL4t3r2/F9Fynet3u23X3MWOLhOTFsliJmN8kViNfhujrh9bS3zClp1 RFaJ71xT+k/JrOtoftc9Kb4fGYT6iTCr0OrPBxdyiKPlF/9ZLK5BDeJqXL4v sOytfmbWoYHnI0/5rpLKaJ2JakDC2m2VfD/O6KYm/TDSUC9P4ZuXJPEporwZ OdQU7uM7prVKe7q4FdV9KNLjW1xwZ+CxvIcoouLWXDY/P0zdnshsR1+XP2nm WyPu4lhoUge6Ivf9FN93Gi1MeFGdKP7e79Z8d5ifuv/F7zkKeNhamUVcYbE8 dl1VF+o10/Tge2zQ58rR8hcom2IJ8R27SuzDePFL5AJ5VCZx2323X4wKepCz lh47g1+PW4VmaN4rdKqyO4LvvDwXv9HMPlSTbXc+nfidaXGqXtprlPRVRolv zd6xm0FJ/ejMyJfCM/z65M5/GYkaRDMtnaw04idnB0O5fkNIekTXOoU4Nf9C R67hMBKx9ytOJtZlInfjqmGkYF01d5o4TPTsybDy98hfiVmcRLxgb9LEK2aj ycCYOwnEJfJvXXKUaRTxWpMbT2zHOT2kX0CjF9z+VXynJ/UxjuRx0MmpwNBY YoXWKNuvmZ/Qfz2m7CjiBpZGT8ZSLroUuHkiktjT+6mPbhoX8SqDFiKIrwko JwckfUbaWoPCJ4gNofnx56gRlC3h3h9G7NQo6vLRbxSpaHNZ/vz4ovfkCt4o CjBvX88kzlDd/0zDgoeCFl+9PkR81Lv+mGsbDzncTBT14df7MaSttmcMqZ5T UPEk/vD17YGIyQkUfdHMbDtxb1Z6bc6G70jMQzZ+K//99DcsuRnzHcUNKbU6 E1eHnrvTLzyJeGbNZk7ECZNOi+YrptAZO8dBG2LV+bqCedMZdLR/01JjYrki X578yRnUtl9t2oBYDC2308MzaGXj2rd6xKPxwSOejrPIUaA9T4e4SWi1+YM9 c2i4z7pdjXifBKsvMeInSpgzlJIi/k/SdInQPgbk/Ctiy0Ec3L1ZNv9ZNAPE Y0qufSB+nfZN62IBAxrGdQSGiWnh63Z6bxjgLyReMUD8c35l/F4PAWB8nml+ TqzzbXaq0k0QFCUu//yHOPVZI71rtxBs5P24lkKcJXEpXPW4EJT6hPgkEZ9z Oi44cl4IVFteKicQX3mkpxr/SghKwC8pivjvpise5a7C0BDTLBtEzLmd0L2w QwQyLtlZbCe2ybZ/cH2rGFwVzW2RJ453unezO1gMQvGJCRniJmGN3PlMMShh xKosIzaPZhza+VQMFNeMMkWIjf0bli5SS8DLyqd5yor0v63hnt024iB1+HJq L7HItNI3oXUSYP9mSwiL2K46vU/fVQIKhw4JZxEnBs09cA+XgJ3VV8+nES+w +3Lv3JWAl8/irscTT3exNvypJwlSa7pygom55WKna9Ysg19COiM3Efvqz0ka SkqDT6dl6Q9LDt4ymFKqoCwNWvFbDaeITVLkLRn60hCuf72ORyw0ZBD4fJs0 VKevreEQX83yexJ0ThrGLoX7Pice+tqTXP6rDMho6NWVELtVVi1q6MjC5WUu UjbEztq+Yysc5WCifFluqAUHz6Ufa3i7Ww46b53WCiC+8e306WuH5ECsjFHr Qyx0r0zRKFkOVJIEW/cQ11txrZ0fyoG8u+lflsRargGsU7bysO3MgaNixIy4 UGMeWgHHTwy5XdpI+rsn5ljHegVIt3IxqjLn4I2yOlVCcUqgWA/qQes52O8H q7B0ryootGwtG1jHwUcefTKuclaH6OP3bDWMOfiMu8jq+UBN2CVe+PS1Pgcf bD95yJCpBTeiinzCdcn+F1XcHuC2Fmb7vE6+WEvmVyb+wuejOhCWZv8gTZOD vSYsdV0CdSHCFy0xVyX7puih0nSmHjgPiP++7lcOrskyH+zeYQAWySjsmzyZ 73rLbYVbDEF7ZtWaGmkOxk9Kx9M8jGBsfi+3SpyD/R03NPrvNYbHZjtlWoQ4 uOCGYW3AYROYXX7/9/l5Gp+daEwIObEOXOQCXi5M0fhj+bHjzDBTmJh4tVub R+M2B1Z+YqIZ5CfKuh/m0lhg68CH7Pj10F+/aeO7YRozrP8WKI7cAMxB9i3d fhqnrpx27k4xh6KQCm5cF41D3A+2TJ/aCAWTVK/CYxq/TzDxQectQDDzwrIb TTSWy704kFZiCZuSDm+TrKVxmbROZPtlK9jplh7SWUHj5jAV+zUVCBrshx2C S2hcpFqsZOkK0PqpfTA8j8aN0XMMZhcAY0+J+cFMGqttFv2psccavEu1YrQS aXzvuXZ6f4814K0eY54naJzxaMFAdZ8NiBt8StkXQOPc8M+Hvd7YwP3pQbXB /TT5b5Wl1N1sQSOWqbbZlcY3tYWfHB22hc7KyLkQRxqLfBdQbPa0A1OvLYpr N9L4usHd2KJPdrBL4HZzyh801vYud5kPsgfvM85GvSo0Htx0v3rXiD2Ef+w5 8FiWxt1/Rf2Bwh2g1iV49U4hGs/UbLdQH3cAsPMwSp9i48V/wmqTgx0hpaNW 6SGXjTcbONhHTzpChjYrNLWfjdv36fsHhFMw+oxVId7JxrIHmQ2Fxyj4n9ZS z44nbOzJLJHsOkHBu1mnpanEU2HLq02iKXBvVNstTKyZOj03n0RBWbjBrcXH bBxfjTNyLlDgFDrjNfGIjc1Ft92pvU/B+bkDw70tbJwskSbIbaCgJvO3L+eI X8i0uK5qokBWtGx8BzFTyWQ2toWCN+7KvGfNbJxnqGBDdVJgtPlu5aMHbPzd Y/jlwBsK4mKTdWub2BgOKGpJDpH8XE1OGHH6oR0R6D0FkROsfANi9dA2pWsc CrouvRutaGTj7ck3fIO+UTA2u97r6r9sXJD+vu4Kj4IOE7fR/cTcnFXi3eMU jAc7Rf5GHH8547bpNAX1OcUx+Q1s/LT4IcN/lgKVLuGZXcQryxZ2XP5BgW+T RdByYu8Ks9L/5imISLF/21XPxrfvhEwvLlLgsEeVyiL+P0QLABs= "]]}, Annotation[#, "Charting`Private`Tag$1319302#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, -0.6138779905034146}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{3.883473246442443*^9, 3.883479301851737*^9, 3.883479597643404*^9, 3.883553745331745*^9, 3.883641257948784*^9, 3.88364421837684*^9, 3.883708483353463*^9, 3.883722052005005*^9, 3.883810892094482*^9, 3.88477006605026*^9, 3.8847718205626993`*^9, 3.884776308899364*^9, 3.8847816620129642`*^9, 3.884845133715844*^9}, CellLabel-> "Out[118]=",ExpressionUUID->"82f73742-453d-47e3-bda1-ae0d720a3c57"] }, Open ]], Cell[BoxData[ RowBox[{"(*", " ", RowBox[{ "\:041c\:043e\:044f", " ", "\:0422", " ", "\:043c\:0430\:0442\:0440\:0438\:0446\:0430"}], " ", "*)"}]], "Input", CellChangeTimes->{{3.8810386865704927`*^9, 3.881038721338756*^9}},ExpressionUUID->"c6deb938-a60b-48ff-8b90-\ a74d7ae9e157"], Cell[BoxData[ RowBox[{ RowBox[{"TMat0", "[", RowBox[{"k_", ",", "q_"}], "]"}], ":=", " ", RowBox[{ RowBox[{"TMatrix3He", "[", "k", "]"}], RowBox[{"PsiP8He", "[", FractionBox["q", "p"], "]"}]}]}]], "Input", CellChangeTimes->{{3.881038727412426*^9, 3.8810387512058897`*^9}, { 3.8810410179467983`*^9, 3.881041059567087*^9}, {3.88120104363904*^9, 3.881201051536171*^9}, {3.882421387600008*^9, 3.8824213884247637`*^9}, { 3.882421456413988*^9, 3.882421457276701*^9}, {3.882423190224491*^9, 3.882423191797936*^9}, {3.883473289379211*^9, 3.88347330948389*^9}, { 3.883553762170773*^9, 3.883553762669324*^9}, {3.8835541121535673`*^9, 3.883554125291065*^9}, {3.883721220339574*^9, 3.8837212470604467`*^9}}, CellLabel-> "In[119]:=",ExpressionUUID->"6753751b-a669-450c-821a-0e2864446c1a"], Cell[BoxData[ RowBox[{"(*", " ", RowBox[{ RowBox[{ "\:0421\:0442\:0440\:043e\:0438\:043c", " ", "\:0447\:0442\:043e"}], "-", "\:0442\:043e"}], " ", "*)"}]], "Input", CellChangeTimes->{{3.8810387103434973`*^9, 3.881038713560375*^9}},ExpressionUUID->"dc4db538-b681-426a-acc4-\ ce255c7c1d15"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ContourPlot", "[", RowBox[{ SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{"TMat0", "[", RowBox[{"k", ",", "q"}], "]"}], "]"}], "2"], ",", RowBox[{"{", RowBox[{"k", ",", "0", ",", "400"}], "}"}], ",", RowBox[{"{", RowBox[{"q", ",", "0", ",", "200"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.8812016720029497`*^9, 3.881201672308652*^9}, { 3.881201811237808*^9, 3.8812018153670683`*^9}, {3.881205098173345*^9, 3.8812051287474194`*^9}, {3.8812052216359177`*^9, 3.8812052240790653`*^9}, {3.881205266459221*^9, 3.881205267755148*^9}, { 3.882090663733816*^9, 3.882090668092326*^9}, {3.882421465308873*^9, 3.882421481513883*^9}, {3.88242342662884*^9, 3.882423441925301*^9}, 3.882423472576187*^9, {3.882870627902317*^9, 3.882870630365535*^9}, { 3.8828707355146313`*^9, 3.882870743018765*^9}, 3.883473318302663*^9, { 3.8834796111372643`*^9, 3.883479616436489*^9}, {3.883553912912874*^9, 3.883553930271344*^9}}, CellLabel-> "In[120]:=",ExpressionUUID->"c96e0fd9-189c-4e48-b6f8-cbbdb9d07d41"], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJyUfXdYVccTKHaN2LBFxYICsdwooFiv3EVA2kUBAanSe+8ajV1jL9hbYjdq 7N3EEmONGk3sYhdbxBijP2yo79xzzsyeWZL3vucf3m/YPbs7s7vTdnbWKibT P76ymZnZdAszM9OvjWdRoz0zjAbp19qz6ExfrxyzfmOL9AzgvRGeO+KLjAjb OJ9qeyw9EOGMC89SBxeFI3zDYfL1vOJohM1GtPh0ID0eYdtjm9rVMEtG2Ksu 8/AtSuP9dUrebbTI4uW+2z2yi7N5+3nvr89bncv7X+Savj89H+HrUvmV7oW8 f/nfMBUGPAE/Hfwd4Ru704t3I35QHo7wHlMx4gf14xGuJPeXjLCt/JtG20P8 oL1shOUfxE/HiuX28xGWqyN+Okbxg/HqhV8jwhQ/vYCfXsBPL+CnF/DTC/jp Bfz0An56AT+9gJ9ewE8v4KcXxuWG+AEM+NHycIQBP1o/HmHAD2DAj7Qn4Ufb y0YY8AMY8AMY8AMY8KPjFefNKOAZKPw9HGE6f0Zh/ozC/BmF+TMK82cU5s8o zJ9RmD+jMH9GYf6MwrrwE/rxQ/xoeTjCgB+tH48w4Acw4Efak/Cj7WUjDPgB DPgBDPgBDPjR8Yr7zCisy0ChPFzAO1qoF48wXZ+BwvoMFNZnoLA+A4X1GSis z0BhfQYK65PzDWUcIcK6ChHGGYL4AQz40frxCAN+AAN+pD0JP9peNsKAH8CA H8CAH8CAHx0v8LVwYZ+EC3QPR/xsyTqNFurHIwz42ZLv0mh7En60vWyEAT+A AT+AAT+AAT86XuDTUcK+jxLWURTiBzDhL1g/HmHCXySY8BdoD/gLtpeNMOEv Ekz4iwQT/iLBhL/w8RpM/ydo5JjIF8V9RsvDBT4TLdSPF9ZxsjDvaQKdsoR2 shGm/CZa4DfRAr+JFvgNjtcg/Wc9dXWsIGdjEV+AKR+IRXwBpuOKRXwBBnwB BnxJexK+tL1shAFfgAFfgAFfgAFfYbwG02dbNHpJsSDnAKZ8Lh7xLRbmkdaP RxjwBRjwJe1J+NL2shEGfItJu/kIA74AA77CeA0e0s/F7omCnpSI+AJM+Xgi 4gswXVeJiC/AgC/AgC9pT8KXtpeNMOALMOALMOALMOBLx7vUYGp3+qckQQ/k egvAVE4lI74A032TjPgCDPgCDPiS9iR8aXvZCAO+AAO+AAO+AAO+dLygt1sK eqCloFdYqt+FIEz5niXzIvvEkmUQulqyuSZGcSoF4b2m9sMyaP2yLNrf4RyE Tf9bT85D2AR6+hcgLA+/xVA6PrSTHAW7x1mwYzwFO8kXYQWvQQgreA1GWMEr FGEFryG0/cMxCCt4xCGs4JGAsIJHEstYkhH5I86PZP9q5acGPxzXaeuUCzh/ UN+I9and4cjM3nT/OBznV7JviZ7F5x/qe04Jc6+L8w/th9P5Qr3Kkcn2Na6P M32p3ODrB+pnDP4jbRGuHxhPPNaH9QX1i5bHzb6H6+tMX2pf8PUH9fc+KdvV Cdffmb7U/uDrE+rL/gRcnyq+Fpr1eXD6p1tlWQJ+2VhedO/y7Cq4fs/0JfqF af3WaGPdHtfzmb5E3zCtZ5M/Atf3mb5E/6iw3o0G2N//vj6434Hu84p+CLrv K/olqL6qE/Q7Hc4rbY/7LUR5Ku4PUf6I+0WQLwZx/wj82AD7CeglwpQ/u/0n HcwEvEU8Kf/TCfxPJ/A/7j+B8dB5Mxf4lrmwj20EPmYu8DFzgY+ZC3zMXOBj 5gpfQj5mLvAxtX5ZFO0P582czSHzpPaP86K2h3iq4ylJRvimCa9NqQjL64xl 0vrjs+h4k7MpvXxyEJbXhUMuHX+TPIRlMr7Po/jcyUfYpPcUHS2g/a0vRFhe p9OHVpgfZV7sBb7YS+B7TOBrLgLfcqdy75SXIDcHCHLTl/Z32B9hZV4CaP/+ QbS9FsF0PCVczivzEoZwpqm/ggiElXmKpN+Pj6LjT+Z8X5mnGISVeRL0hiZx CCvzFEfxu8PlgjJPCbS/9VzvUOYpiZndKX7zHPcTyC9dhfmjf7fk7TbaM8MS 9xfIJzf8fo7l6FnLcX+BPPDD8uLNq6854P4C/3AIlsvyrCyKjs+C7zdZfuH+ OtOX8htzRV7h/jrTl/Ifc1bZ5A/H/XWmL+VH5kz2j+N+O9OX6mfmirxKzqbt l/H9KMsrh1yK32G+Hz1M/vT3XN4pfJ3vP5P/fN5RLu8Uvs73H91vRgOVf+L8 cT2J8tH/0nOdhe+53kT5akW9mPJZSybqUZTvWgry01Lgw5aCPLUU9MuKejfl 05ZM1LM8yToJN4j7j/JxywryV9yPRYTPW1aQx+L+tCZyAOjJ5bO4X0EeFq3e mx83G+ZD1H+l9djLzMoP503Ud6X9IO233jgvon4rrRfnU23PIt1FfdacZV54 lhqJdBX1V2W/vTkUI7Qfj+Wm8ydnxFvUT5X9NrWEn0dRfRTkN99fpvOpGeP/ S9+U5KO0v3b4/Je+KY3XdD7V5L/0TUk+LnJNL7/Nz7OovinKP1HfNKfzmUz9 Q5y/q/oY8nPFv8D5d7gB+DXsd4BRLxf0n3/Xh0T7zwb3McCwb0VY3LdQDvtU hMm+kPYplMO+FGGy78ui6PikfSjCVI7H0fFK60uEqVxPwnLQt0SYyvlUgV7D mDgfVF92FOitF+bJUdCHdAiLfFXkk0BPkV4iPUR8RXxEOUD1MR3CIO/QXiTy T4f6KJn/siysT+WhDvVTOp85dBwoH7ldRtexXljnKr0l/RHtbJluLsK5nid+ T9e9I+qXaEfLdPYSzhl98Xu6TxxR/1T2da6wfzg9gF4w3/Q8yBHpA+XiOSSh A+LrVoFOFB9+LgvlMN4iVd9Af4bKHwEGfGA8UB/mB+wHKKf2Cbej6b7Q4/hg HmC9KXKxQNgnfjhu0A8pHaIQBv2P0iERYdDvKB0yaP2yLNqftB4BhvEBTM8d PXF8ZL3huYgnjg9gGB/AMD6AYXykflkWwjAfAMP4/nV9S/YQPXf1xfGS9Y3n Qr7Ufpdgoj9LMNGXJZjwBwkm6wX3ixvyNRgPwDAewvek8QAM/QMM/ZPvpfkC GPoX2ydySmofYMAXYOgPYMCPlEvzATD0T+WiG+qrgC/AMB6AAR+AoT+xPpGb 0vgBhvEDDOMHGNonctgnB/kV3We9cN4ov4rG+nS/Wwr+B0tsX9Q/gH8BTO19 nWDv6wR7XyfY+zpq72v81NRfayPoZeUG+vdyA+qF8t8bUzpI5VRu8/pKvQ7Y vlLPSsCz3EDxLDdQvMoNFO9yA8VTLUe/RrmB+jE4TMaPfg91vOjnUPFBP4dK D/RrlBvkH/R7qP2jn6PcQP0c5YKeq+KLfo9ywc5Sx4N6MC+H8e8lenG5YHeV C3aV2h/qzWp705MqwNC+TC+0s8oNsr2Rk4yw7NcJSkHYFKNn1iaNzk+fVNp/ 1XSE5f32JJ22vz2TjudsBm3PO4uWH+CwzN9XZlP87bJp/41yKL0mclhGOzWX ztfbHNrfzVzavm8ewrJd0i2fjudIHu1vbT5tv1kBwtdN7X8ooOOZWkDXA9p5 driflH3TFWFl3/RGWNk3PXCfi+XKPnKi9csYwsq+cUVY2Tf9KL/w70/3dwsP hJV9442wsm88aX8FPggr+2YgxSfZj+I73pe27+NPx+MwiOL3PoD21ySA4nMn kLZ/NIi2Pz2Y0mM994Mr+4L75ZR9wf3iyr4Ip+PpE0b7qxqBsLIvImj72yPp eM4Ooe15Rwl6pLBeKvgtRf8/8N9BCCvrJBRhak8BP+X8htpT5QZqTwE/zKTt J/P9Ke8XB76/ZHTeC/vr6H/sB43/TlzfVC6ZC3o/7Ccm0If7hajcMad6Iu6f AUL7gZTOh/n6pP482D98vVF/nrngX4fxcj8v9a+bV/Cni/T6d/+HWm7xX/JT PP8B+TsEYSq/xPMekK//JX/E8x2QjwK/9xH4dxO+PpR9nF8BX6qnmAv6lLmg P5lTfQn5XwCd7xacH9DzDnM834B2QP+BdQD6D9CL6ENof/dC/ZDYuz4V7X+K n17A30jph+sSysMRpv5KqM/1B+qPVOV1UZqwfrKE9vj+ln9W8/1dLLcvyEv0 34vnpXpqX0kw9bfo0b4AmLbH41xF+5Tyg3Asp/Fz3H6G+jR+zlmIB+Dx1qL9 DOUwPtEPQflyOMJg30A9Gi/kKcQHeQr04vHSUE7pZxTigTwFf4YQ3432aiDC NI6Q28ti/DOU03hLX8H/4If9i/HKVE4ZBb9roFAejjDQR7SXaZxhbgV7me6b cGrPYhwwjxem9m28YE9nVbCXxfhgymf1wnmOEWEYF8BAT9FeFuN/gW+T9aSJ l6V+6HiEgX4iDPIE5DPAol+L2sfgdwH/Ty+hPUf0zxJ+iPuKxxkRu+4s+GMb M9DvASZyT9JPqX/Xk9rxWG6D+ibxn5aEUHh8FOVbFfQT8RwR+KMfwnR/Az/9 L/uQ+7dh3PR8F+zlRPq9JG9B3gB94Xt6vgvyndtfII8pXbKE8WRRfA5zeU35 icjvRf2Ox0Uo8rk30pfCFeNe/v/iXHQV5LsYvyfqX2IcjBjPR9cDj4sB+05c j2CfUHtXiA9Be8pSsH8s6fdSe9T+sESY2pdcL/13f4h4ntVYuL/hKPiH7YXz EBvER6F/B9RfYD9TOeWOfwd8qdzk5wsAE3pJ9jD11znifoP2qf2iE85/dBh3 QsY7PQlhGB+sPzJ+GM90fp4kr28HHr8nf/c2R6A3h6GcrOvpSZSeeP7SG/GH /Qz0Usq9BH+lJ+q9ZD1Jdg/AVB7aoP/n3/mF1X+e24G/gZ7b9cJ6VF/WIUz2 Q58wim9ydIV5IudkdtE4XpgvgAm/ktYz0AHsV4DBXgVY6SebwtI+B/oCPQAG +xZguVvJfgUY1h+sF+gPYGgP+BGsH4Chf7A/oD+AoT2gJ9Qn9kgT4BPVEFbm qYECV8/EcsKnDqjnHQFJKj3aod9JnpaSXgz8efB3ys94XCmsN+qnV+1vsA/h /A7sHSjHcxaVX0j2JcBgPxJ4fBatL9mHhB+gHjYA+weY6EkSX4T2AQb7k/BN GL9kz5PxSzA5RykJwfbAfifl46ME+vHzAaCf4s+MofN5PAlhufqNnH+fz019 KDzdA2G53W6BCMv+q1mhFfxm1B7V4/oW9bd/5cdlvpRvAD4BKv+0aIN8HdaX DDvAOVUzQd+zQXxhPRM7T9M+5Zf22L6oB1I7i8NUXoUgXlRfMwr83QZ/qf7u KJx/2aO8Bj5Hx8thmH+gF+BP9SArnD9YRwDD+AjfnpiD+xdg4KfEXy7NCz1n 9kU+SfQTad8CDPQl+j/uwx7COaML7j/gn0TP05y70fZ7IUz1a263wv4GeQAw zCd8R88t/ZGfAkz4hkQPUS4BvWAe6HkD3898/LePj5oFeh/GpxmoP6axWl4q /L0am1NiNt4Vz+sg3gv9SuAPEtoBu6OZYJc0YDfme148/qkntgfzBO0VVbWZ 2g33BcSf2mE5PZcoxf5hPRG74FRHwW75gtodkrwxxdPq0E8L8aZO2B89tyg1 mPJB5KOfD+JL+2F9s7/Ty2ug30+Nf8NzCb3hxtriKwfR76vih+ccegPVy0sN tqb4QvQDq/TCcw29gZ5rSPQwxROW8XhDqtdL9JsS5t4E7RK1PeS/Uv/xFrte HPLHcnoOos43noOUGuT4RvQzq/TAcw91vvDco9RgypcRiX5ONf4Wzz30BlP8 8veox6nrDc81JPq+6f5xXAm//yPrM3hOos4X2ikqPdCPrdIDz0X0ij8az0Wk +TXhb4ik+OO5iNT+4D/SWqLeqOJrh/dsDXI85XgePw3nKDj/st4Txft7UrZr i08MHR/wX8BnYgzWl+M5HWIp/d7y+nOXx81OeM/js2X76kgcn4+6zONikziK 381YTl/TP984Pr+m+NLbPH+Jct6I907V88YErC/jfzSB4j81AevL+E5PovgG JFH6rk+k9M1K5PQ1/d5LxP5M8eTOOTx+VZZ7vZJ5f6b+NyZjfRn/oBSKf8sU rH/LhG9rno8ly4Tvw1RK3z6plL6VebmMT14q9pcRuSRjEZ5Pq/Q4jflClPXQ Nx3hLBP+T3h9Wa5u5eUyvtszKb7DMil9z2ZQ+s7N4PRV9XGcrxptrFO8s+j8 dsb8JQp/Scri9DPF9x7g9eX9s4LXN903c1vJ4/NNze2ekM37N8X3duHl8v5u yMsVdp6N/cnxxo14PLG8Ht7w+nL/9jlYX44vnsjry78pqE8aTPcHUlL5/QBZ LA3AfCwG0326Nm+F+OUb/HsZn8a5lB43eXvyfviZtyf/vuP1ZfwH5lH8u+Zh fdP9hRndePzzJ9O/pvmUvkeE+Ok1/HsZn1t5lB5reXsyv5zC25P7/yUf68v4 Nyug+Jfz+qb7Ezs+8PLZpgbvFlD6ThXuC2bwchmfdQXYH5HPZSDnjYKch3PD bggrctcB68t0R/8dxNX0QVj+KRHiilr0RFiRowZsj8p9OFfm55qKXGVYn8Yz qH7O9xxW5CyHFTnqQts72h/bo3oA+Fk96HjWu2N9Gg+h0qeNkeLbx5uOJ8iL 0veJD7ZH9QqIoxlIx3N2AKV/Mvc7y+tspeCHtvOj3x/wpeOZ6I/tKfQZROmZ KsQRvOX1aTyGSs9ugXT8RwLoeHwDaHvNgrA9qreo4/0QRMczNYjSf3owxed4 MB1PQDAdzz3h3HsjnsMZqL9VjYOaFUrH0xLPbww0HkSNgwrhsCLHwuh48sJo e30jsD0aL6KOt+0QOp6tvD6NJ1HxeRpJxzMsktKnOocVOSPEgayIou2FdRb8 BeWCPCun/KSgr/p3cybyA0VPdaP0qOpD4Ub+tJ+1QjyPZn0pekcIHe/pcPp9 5yg6ngO+gj1nT+1vXEegH5UKMD9/F/2JNB4hvIK/EGC5+EaOQD9zRvmN7t/j j2aFor0OdgY9X+uglK8Ce78Z+kvAHqN8u1TIT1cq8LVSIf6gVNj3pUI8QqnK B8OF7zms8KlohGm8QqnKR+KF9jlM4xdK1X2XhjCNZ1DH+zSTjscii87vwWxh PNkUn0lcn5B/VnNYpqcfl+eyfpCeX4E+4Deh59buwvkMxIHwvFCwvpRxM0bo CX4ZTR4eEs+F9yfiEabng3p6X0Yqp+f5TMhP4kn93dL46f0h8Atm0fFDfBic UxRn/wc+vtQ/Dvc3NOfmSr0oob8oHA89v4f7IYGCv4jnKQJ6QTk9Lx+A4wN/ kVzcYij6seTuMH+ZI56fEz+W1B89t4hF/xQ93+Lx9DBu0Y9Fv+N5s8j5JebF CsH5gHKAaX6zKPyl9yGi8DwA/E30fFD1M8+F88Fm1I9bwu/dwfoBPgX8jvpv PYXzJrhfYof14Xvi/0Q/FPAbnQDDOXwbge9aCnGxsF/dEKZxRvbIf0ncgMT3 wa+mrHc/4Xs/2j7qLaVCvECpINdLhfgBlZ+lxiJM17Pa/gfuH6DxA6WqXpOC MOUHav9tM2h/YRl0PNcF/lmWRfFdlUPxO8xhhZ1we0mm12QOy/zTkdsrsrzw r2i/yL/+3QW57Ehhn34Ii3GScrs5PG6WrDfQJ7x96XrRxFUqfhyuH4txt3Jz WVzfFOMuFT8G1wdp/IHa3twhdDwYz+P47/SoECdRKoyrVIgHLhXigUuFeOBS IR64VIgHLhXigUuFeOBSIR64VIgHLhXiRTg+/3oPRXPPhPJ7K0F/shTgivdM gJ/T9RRE6a+5F0Ljc8V7H5YVxk/ilHDdlQrrqFRYF6VCPG6pkCenVIi/Vee3 JJnC4/l+pOd7pUK8bakQb8vHD/KLru//x72e/8u9HRpvC3HlfP3D+TasJ+if 3g/k59PAb8n9E0lO0Pt5dsJ5Dc/7BeOncsmT6hHoD9Cjvg3rVbwvCvMM+h+J 2wD6SusXYKAnzC+JMwZ+Ka0TuXvMT+mL59WwngGG76FfQn/pO4BhfcF80HjY QBwP7AfCDyQY1hd8D/KSxj864/k40BVgkIdU//Cl5+mgJ5Xwe4CwPmB8JB5C km9Ev8E8gqpeKe0X2L/AzwCG8VP+ys+Bqb0l3HMdz+Ni4Xt6/1S4Zzo+iuI3 PkqIb7TBdULP6YC/64X7fKXCPhX5p5Vgl5YK+7ZU2Lelwr4tFe7PgX0YhjC9 H1cq3I8rFe6/8XLQH2k8aWO0xxW8miEM55n0vlypcB+uFOMjiT6Tk4zt0/jU xhhvAe3T+3Clwn24UuG+W6lw361UuM9WKtxnKxXuq5UK99VKhftopcJ9tFLh vplaP6sQ1wnYI0TPaY75zRGG82YqX+0QFu+bwTktXX9wz6ED+nuIPNb4f+g5 L8jffrR/PJcF/7EnHU+B4C8aL+hjPoL/qIngf7zD/Uf0/hfcixT8SX0E/13V CNrfWUE/8+b+Jrk/u2iKX4W4Yj1tTxNXrPwK/uRiwZ+ruQdC7yPBvY5wYX6j BH0E8jww6hcCOaWJ16b8KBz1UBqH3ovGg2nyPtP24qkeK/FnwsdQv+H3RaCc 2sPu6B+gci9OuB8STeWxJD9E+Qt4UnudxxOK90NI/8nZFeS96M8h8rqMyxFq fxkxngz4NIlXw7ibeISBXoSvI/2MSD8oB/pROeX77/fLNfdBoBzoCzDoH+L9 DpAjME4qV4xCOc/jDvIRykE/FmHqN4un8d4S/qQ/zJcTiPSg4wlHfQbmh+ir Flzfgfkm8ZuSPAH9A+YL9FuAYT/CfFP9N1y4bxaFMNAfYKA/wESPkPYnxMsC DP4ZjAdS+TfYRyTOczq/L6HgyfMKEP0U+P0BHs9N7SU91ZcOxwj+k2iqP4O+ oIm/gnEReXKA520C/w/IY+BfAJP7EBIM46b2RAekj/J9R4SJvzwZ8i8D/+Gw op/kYP8AE38Q7DuIX5Tah/MV4BNQDu3C9wCLf1fkI78vCP3DL5TD/qPxcZ50 32OcrS/lG2W+lA+N90V9SWmHny/Q+EjHCvHEJE4S58dKuH9ghfQh8cklyTif NP+9PY3Xl9aP3E2LociPQR8CmPgbQM4dzkG60Pn1xPmn9w+yBD7JYRLPDfmS wH8llRfvVuxDgGXwPbfnYH+QcwKQF4f9Bf8+z0cD9cFfDzDIL/ge8AV+LY/P IRfLgR8BPwP5Sva3BfcnA75QDvSh4+fvgwA9wZ4k7Y/n/mfCTzHvfzjiD/Yb 8BfQrxQ9MAb3N6wHKJf7W19I+dz6QlxPNM8MP98T49VhXxB5Ic0fjI/SU49y i+o9QUJcdSDeH4H9QOfLCuUZvaeRKPBXe9TXqR+N358F/EEOUntxEMJiHlnQ q2H/w36B9oD/ETnhw2F6z4nHs4O/FeaPthdD+UEjft8a+qfnuTy+mfi/wB+E /moj+jNgPsl+hfhvSZ+Dcsqv/AR9cLBwf5i/h0P0FWk8QFdY3+R9GGl9gX4B /RG/jQST914gnhHk53qeL1xuL6sQ6UzsEFx/6vnMnUCBj6vvzmzPxO9pPrzG eN8E9Asqj8C/1gvPd6g886T8B/5+mN8vA3tZ1G/IumnB892APIL1CfsJ6CH/ 3ODn4yAHYHzU/vHEeaV/DxHkRwzC9PyMCXmq3NEeEu+3EPksrTcCw3rQnF+K 55MivyJ6hSRPRH5F7Usj4gl40/URiOVUzw7C9un5YpQgD6KovwzOhyzaUFiT rxHmA/RAeZ3k8PyGhK8h3btSfRbvxwRiu5S/2eM+JvxDc29UjHMq0uqrkG98 ZTTyM4CpX4Hnf4V4Wdgv1J+k5g1pm4Ht0fM4Mb+Sei/1Kb/vReMdxPxI5khv qE/pr+BXJYv7i+RqgzhM6CLJF+DrNP7HEssJn9DEB4n1Yb6hPp1v8wowPZ+D /OCBtD9N/BCFLYX7ieq92MphdB4qhwn7qrdwP7M36lewv4D/A0z1IH6fherX oRXsYYChfYCB/4L9CPwdxg38G/xZRI6i/121p1oKeWu9o2h99G+resCKKGG9 6nB9Knh0FPws/ggTeYn2gA1+D/Kd+Nvhniuet7vh38FfSM+/1PHAftPYA0Qu gXyU+Aa1J5xpe2K8DN5fzKL14bwN/PZlHAZ5RuI6fHKQ/5t+TPl1gR4wXiKX pe/p/bJsqp/D/daSEHofdjw/f4D1CPweYPil+88G9wX19/I8gMA/QE5DfYCh PuwTqu/Z4LqC/UjWJegpknyA+SbyXZP3B+I3oH3AB+pTvHkeM6gP+5DwDU3e IIW+fpRf4rlXY4RJ+9ODKb6bwig9NXmGZHK1Ccf64Neh+lYk5UvbI7G+/HeH WEo3h1jKJ1NjsT6cnxD96T1/vwPi76A+nK8Q+h9NoPh+SMD6cH4C9el5CsQx pmB9OF+B+vS8RZWXIWmUngeyKD3xvEW9d3c9C+sr8jgb6wNM5MLBbKwv/6Tm Yn2AyXxNyqXjwXM7O1zPxP7AuKnOWJ/60y0RJvPo313gA/2wPsCEDj796Hjw PMUSYbJP77jR8eD5iiXCZN6r+tD6TSrahWQ8GB9jKcijxozG71oK8kfdh525 P4Dg5RCL/ALsPaL/NeLxveAPAf2VxK9o7B8xnkSRE+7KernH7SeQHyI/Aj4B 8gf4JM3n1AH9Z+BfpPk5VTrdg/OOZogvfA/2AMD0fMJeyGel6rNV0+n61Ly7 Au3R+63c3gb7EmCQb/TeP4dBPwH/DMhToBP153H5ScrHV8xPTd5v9cmh9gXm a45C/wiNz+HnXCCfqH7qiDDIS6Ue95uK8lGUW8SewfjMxrguQN+H8ZJ98iGB ljfJE/ZZHp0v3zzKn97z+gBDfTg/pvs+n/IVjP9R85s0E/PbQN568GfpECb6 go8/pSfKRR3CxO+0Xs0v3SSO7ufVsYI+IOZJt0e6wjzR8bghTPQHH3/8XvSH UP2lA/VnYBx1Y1xPVL/oLcyvu0A/N4RBXyHxDBh3DO0b6feSvgL1PdV1T8cb QutL+gcZD8a5QPvh9Ps24Vgf9g3VwzgM+gddr1yfoPy6MeofUF9Zb/ECfeLp 993iKX36pGI59a81Rn2CjL9qOh1vURr9PiSNjseO6wfUX90Y9QnSfiOe74f6 PxujPkHO225yfUIezupcSv9JubQ+xkt3QBjWKT034foE8XtozmGo35jrEwqe DGFqp0FeS65PUD0b2nfD+qI+QfVsG1zXZJ9L+gTZjz7+tL7DIAG/QXR8qF/o Uf4A3jReUyfEezkKerVOOH/l72GDPILvQb7DOGh8kQ36d0C+F8t/5/wW+DGh G547+VH+oeFXRL/FvB2cPxF9H/3+nB+R7yU9UOQ/1C/jU4HfUD9MSAX+QuyH qhEV+An120RV4B/EnrhZkV9QP05F/kD9NqkV+AHp/3TF/U/8Yw2zK+x3ov+/ qbi/ib34cy6dH8zDxs+z6f1aS9yPRP9MFt41chhE93/qIMF/YYXrD/Q16btG e2ZAPNEIJ6VdnodLkRc8f5rcTHfu76Px2TrhfUSevxX4gdJ+NsI0Ptwo6Cdw zszjKKk+6ye0H0jfP9bkcyH6Idx3kvR76F/MzwnlMA7QJ6EfgKF9KgfjkR8A /Sm/MQpyNFCA44V40l7oZybxCej3z8D31wC2VvVcgOVmWyTh+RisG7AviHzo C/KxGto3Sn24/zgUYXm+AzhM+MDKaLrvG8XQfTqRw7tVPYDsk7cxFfY92We+ nC94qHoB6f9IHO1vbTxtvxn3Uyh5ExPoeKYm0P6yEmn79xJp+8eT6HgCkoT3 Cfm9IkX+9cH6cE4CsKeqJxH8NXm3i7XrGPrX8EllnybS8Wv4pJm6Lgk9YB2I 86TBS6lXWGG+Kd8wF97vNBfe6zQX3uc0x/fEQI4r42uG65H0B/fQJXtKWec8 XgPkM8g12H/KPvVCexRgkN8gZ+l56gCUz1BfoWPF/Mk0TxSPxyD+hTKe/xjK Yf+L+QDF82Cop3yXU+E8gPrvo9GeAj4B/g0SDwL8K5nnI4bxkvMDaF/iR/Q+ 5BDUP4A/Ab+C+8nEf4F6iarfdQvE82Gyzs9mVJCPih8P4gm5HwnkN/AvZZ5U f/J0yHfZg8IThfyhPvz8mNxnksYL58VKux0RJuOazs+TYX4AlqvdyKHjhfwv 0volfgYYH+jdEH8n4Qf1AIZ6RG/T5P+Syn32zBDvf5UL948aC/qjXrjf00HQ H/XC+zx64d6UXrg3pRfuTemF93T0wns6euHelF7Ih6wX3r/RC+/fqPln1gv5 iXKE/EN9UjXtT/90APnLCCeqDyr9z0NYJ7xXoxfeq9EL79Hohfdo9MJ7M3rh vRm98J6MXnhPRi+8H6MX3o/h8wf7AWDYF0SOa/KpiPlSIN6QrBdNPhMxH4nC R3j8OeHTEP8u5gMR83lo8nX8a74NMZ+GmA9je6Tgz+TxFfS8K4rqVxDvrYkv o/qYm3De6Sf6D+HcW6ZD3Gx8j0X9O9wb/p+y/qeB/CzF95KAfoSfQb5DzXk7 lMO+VfbpMEpnvN8G4wsXxh+NMI1XikYY9A+AQd8AGPQLGi+bjO0A/5DX88po 5J9gP4C9C+sZ6gMMckLRWwX9Cc5NUH/SVYDpeqv4Ln2RKseIvuIv6H8tkoS4 dzuU2zBeWA+EX4I91y0Q64t+C6intMvbB7se/AP0vFGH64TIo5JkGi9Wwt8/ oPnIbQR/lw2uNxg/XV9WOC7gH5T/WArzqZ6fNS+k9jO0C/lm+4L8ssP1AfiC P5bGU/bD8xbgUwBL7Q3+Iw38liOcTPP+5Rxx/0E+zGq4j0zwZdyncA+/kmnc ee+vW2F7pnH8yPN4yvvra+5vE/JdNsP2TVB9zb1fBZ+mpP+1in/DuBLP+ZT+ LuD9bZ383X3Mzyn3V6U+niMq8mos3hvSyfLDj7+ra+IX7UNQDij1p2jKYfyw nrRySqfJk6DI7Q4EvzeYv9OI+Tu1fGoxvwdmUPqV/RLzuuE9L2W+4vGekyJf e/N3ESX8u988iHJKoc9gTbmZ2ejM+4f6YblpXCPw/pJOllPj+buKEh6r9+bj vbERTqafungfXifj2YS/syjRx2KuDs9JRziZfo/hPSyFfmf5O43SOgqz9UO5 OcLJtK6eaMplfPAcVcUH4+x0styL5O86SuOX8DMMxPomfEZoyr2KSszGY1y+ Mr++/N0Dme4XOf+Q+i+wOYvnskr/i3g8m7zeWmI8r2k+vpzzPd6bG+Fkmp88 vMejzNcbzE9qWn/+N3ojfxvhZFpWNfi5kDRfh/e8uB1I5usg3lPTyeuqH+qL Kn6oJ6j4acqLrGt5NcF7eor/6h7el1fkcQI/Z5L0pSUZkXhvb4STiS104u86 yPt7C89br+CD9/5UfPAenbLfppaEUPqi3qLSV1Mu44P3BFV88B6eOl/cL63g 9ySC4qcpl+cH7xmq84P369T5wfypJvreKX7TJZrQ/zZ/L0GmvxX3/0n0+LEo Ae8tKvvVaBFF6DWDv4si9eezZ8uBKDKeeZpyL1NCYfQvKPhnF0cT/Hegvm+i 53zPixNjCD33a8qLrDtktHwbQ+hT5XAMmX839EPoJD0xx6wf+oVGOJnkYXvU A3SyHpnyPo7ig34nFZ/VsYS+V5rEUfoOjKP01ZTL+KAfSsUH/TjK/iu/HU/x Qz+Vit+deDo/UxPo/KAeo87P0QRKf7RfVfrz9zEU+nN/r4JPZiLFB/1K6npZ n0jpey+R0ldTPteED+aDHeFk0uOroB9KJ+v1bjnJFL+NyRQ/Tbk8P5gvVp2f kmQ6PxhfpDNkmeiP+WNHOJny8O3HfCU6OS9fOeabVfGpnErxOZWiKZfWS59U St+8VEpfTbmMD+abVfEpSqPzpbE3K5vov4XbpyY7yIrHVyr0xHyzKj35++MK Pbdn0vFh/ll1fPw9e2X++XsOynqtztuX1yspX1t8BfPTyuXPvDB/mizPnqV6 c7iSKSF3Iq9fySTANeVzrHuZWa3g5ZK+ZzF3vLbc02LXAQ4X747w3IH5bEc4 mawRW8wvYypPD3NfyeE96aetUxry+pJ87n6zLEtTXtz9YxdeXz4eMfL60s+p Sna83MyEz2tebmbCpzhbg6/Z6Flo/6v4YX5cFT9NuY2kzbml8HIbk8Lioy0v Wn2N5ysxmLTIK5gvd4RTuon+mE/HVC7RPzWX4nMjh+JzOEdTbn2q7dscSt/G uZS+mvIiEz4/8/IiEz6rc+l83cyl+L3LpfhpyuX5wfy76vxgfIs6PwM5/OnT 8/RyzMc7wunTp0+jMt9ryz+NmoX5EVR81uRRfCbnacql9XIkj9L3Vh6lr6bc pH27TeH9W5vwSc+n87U2n+L3Sz7FT1OuHMfl0/m5k0/nB/M76AyzTfTHfL8j nGab6H9UWy7R/0MBxSejgOLjry2X1svUAkrfdQWUvppy5Rfy8/J3AUxwpMav qOjtPJ8wPd9U/Hbfa/JWKX4+Xm76qavJL0ztfcWe6q3JUynbc314uen/5Xgf 1ijkG1byLr/4ROEnaJcZhXzEiv3TT+MXVfRyJ6xv+p+fzyr9J2jyPCl+QmdC n0Wa/MWK/8IVy2W9VJN3Tsmf60rav4f5jCFfrwuWm+pPXc1h0/BqYLwo5Nfl 7x7IeqjGz6vo3f0p/TF/lkL/N5/4OwmKn5yXy3q2Jj+yjD/mQ1bpqckjKs// Q2/Sfh7mSzYK+ZIV+rU8ReFFaOcZhXzKelkuJmj81jL9Cni+ZZpfWSl30+Tl UvLnDiTjP6jJv2wq5vmWFXqnaPL8yf60CX6k/SqYj9ko5GNW8L9SRuF5/D62 kK9Zwb/8EIX3ox1nFPI3K+trhiYPnNzegEFk/O01+Z3Bn6NdHzs0eV7l/fJ5 IGnfiPmejUK+Z4V+VpMpfLsJry/vp2ZBdD78KVwF87cYhfzQKv00edTk9XA3 iIw/W5M/Wjn3DKb0/MTzHMm/G4LpfGA+aaOQT1rZfyktggncHu1Wo5BvWp2P Egobc3g+app/Wi/DVpq8fXJ7uaFk/Ps1+alpPmplP7hp8vB6y38OJ+3fxnzV RiFftTr/myic3SeMzkffCDofBRSeV1XIX912CKWfJu+dfD5ZbQgZfxVN/mvl nluktv0wd02eTPl84bdIOh+YD9so5MNW599A4f1odxuFfNl6Re8bT+FM+u5I mO0Kes7VW/OujuIH4u/eKH4RgT9r3p1R7GZh/98OpPObI6wvzbsrip5uundq ehCI24cynhp70DStT0/2xnLT/5Z4n8dkbz3zWoznRLJ+Veyg8aftNflf3nP/ k2kcnTT+Jtk/1Docy2W+Svwxkj22kvsvZL6UrPUfmB4s4va1vA419rxsL4Vw +0teN2209pdknz3NJOMzauwn2d45yPV9WX9aKdgD33D9VtaXNPq3rC/7cf1O 1tc0+qkJ3emf2hP8/67gb9arfl5TnNipSjXx3E62J4qWa/ydsv8Iz+VU/5HG Hyj7j/DcTfUfafxltib/F+abVezfGjwuUqFXaiyll4PWPyLZ5x8SSPvzNP4I 2b6dye13mc8Eae1rab7bZpD+22vsX9meuM7tRRuT/n1Aa89J+vYqbu/I+vZE rb0j6dtpXL/3NOnbvlp7QLIXHLn+K9sLzUT9V6/6gfm7WYpflL9DZZqvqZp3 pxS/mSDfmwjycL0gP/oI/PbsECF+UcdkewTzuY1wameix4eK+rqif/J7yMqf o8n44vl7jor+jvq1qu+gPqrqh0VGAmfzfE8Kv0yn/KiKmSDfisK19Z95Sfwa zqvgHJfkG4f4fcDfYRDbbZrvQRx/06nLTYxX1Cl6VzTANzB/LTnv7QvxFp3x PgY5H0Z6W2J9OP8BmMR/9uXxpfIoNOcdKr6a/WKyY4zifGn2m8kOCCT1d4v+ c40/WfnlsGkdpmj8rTTuTPX/aPyRJF4S/JOfuDyg+fZVf1OR1n+mzJemPUkO Z9HxaWDTvKcWZwvj0/JXSa6u1vozrDX59mX5ZLErPZ/Od3q+0J56bm6nnFPX 15yfwT4S97dyzgbneXDer8RPfq85D4J4Ac14JLvPT+hfOD/5FEzmz0xzvmD6 303jb1foJfjfNf5oiF/Qtn9F468l96Fk/mvSG1PI/FlrYIiHhvWt6GEZtFwD m/jvtbIs2p/oXzuUQ/EV/U8af4zpf2vRP6PxV5iKPUVY4n/ieazp9xh/p17I B67alzzvoZAPXLWXzTj/Vtqn/Nxo4Uv687QQ7LXV3J6C83lte7e7c34P8Xha /t/+FNfnaT5wld/yvIpCnmg1nqehEvexWHO+TOnA17ty7i3GlSlxqi/QztcJ dNCpfgZ+nkjxVM8XNedtRQQPdb1qzqMg/lvbn5XmvIbmI1f98ZrzDBLPB/xN 4++n+cpV/mbg+h6NT1fXp8a/LI9f9Ddr/K/yehT9sRr/pEx+0V+p8d8J8fU4 P8o5N/eviXF8yjkwo/OngU3/39P4d8S4PuUckftHxDg/0/9VNHF+II/JftDY 5/KvP7XH52nsW4hHBVjWAwuIfULiBJVzgSj6vSq/L8+2FOglwgq+FzTxCdp7 T5Ga+AHKB1T5qjlfp/tcPb/VnD/TfaxT/U78fJbuU3X9HYoh/ZmJ55ma8z2F rsJ5n+b8C+KBNOtZskuzaLl4vqI5b4D4WMLfNf54ev9U5e+38+n4Nf5r4M/A T4D+pp+6aEcCf+WwEqfgQudbAyvn+Nz/p/AVL9LebY3/jMZVqfxV43+iec1U /qrx39D7q3qDco7I9XOav1PVdxn3H5D7ZQ7w7ks7jFcn8eDNeXwVydcn0Ye+ v9ML9VMF/940XliyT+B72M9Uvx5A6xf4IAzxnkJ8rHhPVsg/zvcbjQfrRdcf xifR/cnfB9ZjvnIat6oT1oFOmHedEMeqE+JWdcI60AnzrhPiWHVC3KpOyH+u E/Kf64T3b3XC+7Y6IT86yJNo2t4BQR5OjBHGx/U9mq9DJ7wfqxPehwV8Emh/ Gn8Pfd9VJ7zfqjPQ/B06IR+6Tnh/VSfkR9cJ+ap0wvtxOuG9U6AHh+X9sVJ7 Xmutea9UJ7xHCvTjsLxcNf4Z2V5onEvp+y5XoCfndzT/uk5471MnvOcJ9Nee r2nf36T+BO0724occEBY/imh/FH7bjfJV4DyUYjjb+IqtM/9FYpc4f5Gedzr uX6gnK95C+PxpO1r/JNK3LxwT8DOTxgf1Ze171zL/b/lMH0/EvCh/hPtu9cy PaZSfz9//1Ev5HvXC/ne9cL7jnrh/Ua4V0D9M9p3ren7jHrh/UWgj6C/a/zF 9P1FmN/OAr37Cvi7CeOh/mL+niLcM6D+GZ5/RS+8n6jH9xPp/TDgv70RpvcG gD9p/b1mmrh+nfD+n054708nvOenE97v0wnv9emE9/l0wnt8YL90QJjuvzbC +1/An6n9zu8t6PAeAhlfKrXH+T1DnfDelk54X0snvKelE97P0gnvZemE97EE fPA9LNhf1D+pyZ8ovG8F91Sovcrfr9IL71Xp8X0qa5O+qPG/Kb/lgv9RL/hd ANbT/jX+RuWX+xupX0Uv+MX0wvsHeuH9Az36VcCfQfLTQL4I5EdqfhM7fs8B 7Gt4H5zcX8e8flZ4X4DmUfBH/U+eB38ery//TOX3Iej7QlZ4nxDwA/0O7CmS 77mE51OC8ZNxNVTvf7SDfJH/w7h5hQ598V6w3M4U9d3E+0lYn8T5S7CyH6MR lvutmoWwTGenDNrftpwK/cv7rpcn9q/wH1+EZbwfhKI+Cvgo+JrT+WmThnjT fEhWeP8f9r+yzguxXP7pzmF5vsCegfpgB+N9Rz+EgX/Q/ByQj4a/M0Hv0Xji /Vpy3wTzMvnRez2rB2F9M3VdQH2Aob7Cr0OxPqwf8C/BOhTXh0LXUvQLUXzU +Sn4ksF+F2FYT/A9yCvy/Vo3+j3CkEfCB+sr88bfQxFhWK/wPcg3sr4tQ+j4 LHleC5B3pH6bKFq/TRTuB6APlYf8HXSyvjGOSXxfl78bTvZPGx4nQ+MwxPd1 1Xt5IeH4PcBQH/YnbS8ev5fln188fg8w1KfyWH23LT8N6wNMxlf1v97XVcd7 NpuO9+x/vbervl80PxfrA0zWpwW/5wcw3S+xWA6weI+NjO9URzo+vDfD9wPw A7I+w1rR9SnB//VOPbRP48BKBf2Dv+tO8F/pR9fTv7yDTvjzcR7X8l/vhpPx POXveVH9Rr0XOikW6wNMxoP6j7ovmydifYChPtWPypW4lB9SsD7AUB/kCZkP 1J/UffqYyx+Ayfi25fz7fGJ+JDWv6R3+niiFIV9DP8ovGvWj49DAIN/IPHX2 pe3dHITtyevmZ36/VoRBHnbMnFHutKoqa3u/+th91fk7aor6xGGqD6jnllbR eP4J+wNgcm4Icq4hzxsDMOg/IEdg/YK+A/oN7DOARf0Hxgn6D8CzTe3dhe+b 0fuPkr4D+hHA8B3Qkfqv4N57M7o+MG9WNcwzQOg+uRvdT5g3q5rgr4J70s5Y H/xTUP9f713juzv/Q/8V1BfvYUPcIhlPUCgdj+ZetYzurFCsD/4pss7Ee9Zt h2B98E8Reh6Iovv7ehQdz8QYOh70Z6nnVKtisL48Pt84rA8w2UdpcVhfpm8z nm8WYEJPxwSsD/4swqfRv6Xys5PJdD3kpdL1gP4t9V767FSsr+wznj8WYLLP Q7Mp/e1zKP3Rf6XyYwPXj02fm/xVUB9gMr/WXD7Kf3/H6wNM6Fkzj84v8Af0 P5kjTObdB+DGwvtD5ghDfVlO5fC80NQ/ZY4wmRdvnmdRntf1PG8ZwGSdZLnT +ug/MkeYzMsNf6xP/UvmCBN81wj5bNE/ZI4wmcdK3D6h/hxzhMm+KIrC/FcK 34jG/CsAw/kmwAre/H0PublB/2Gf4Hs4/oz6k4yCvaDaXfjuCn8HFuwNKFe+ D8dyRT8KFcotKd0wDwnP9wLyAMrhPICOX5XLDoJcXJ9I5+1eIpaDPIFy8L+S /aB59530j/5SyN/kTceP/lBLIS84yFc/+r2PP13/jfzp+pdg6l9W161fPo4X YMI/QW/Fd4OjhPmLx3JYT1Cu8Nc8um/T8ug+QX9TueDPVvM4OXJ6AkzkAeYd G0zpg/4kcwG2RH0CzmNhvSvlesHe7YX6DJ1vS5xvKudthHc6bLA9qh+Y0/UO 6wXzRDdGmNQ/GoT1IV8M1Kf5Y8wZnHcQPnmE5/MFGOrL5LjF5wfyxZB1u5av HziPoPqPjaBHWDKqZ6j79OwA2q5Gr6PnYpYC3iqeU3k+bWqXWCJM9kMAzwdM 879YIgz1wR8P9Wl+GEuEoT7446E+tXsshTz6al7YYZEU36oRFN+qERTf0+EU X/TvWyJM8J07hK5LK+6fU9hyNH4PMNSX14VTtJBfLIbmF8d3o5Lofpf4LLRH /JIafkjkKr7rVUnwazag+xXzi/YQ1psjwqA/Q3uEHpJ9oIyb21Gw/wn/S3bG 7xU9w1MYryftX9KnoT6cOxF8LTgM+jTUB3lD8MXzYXV/4bsx1aj8g/HMCqX4 4jqohnGupP+2Q7A+8DWy38ui6PivR2F9Rc+Jof0fjqH0XBWD9RU9J06YHw6D vg31lX2dQPv3T6D0dkyg9Mb3IKuhfAZ60vNm0KNSaP8lXF8H/RzaV/gA18/B nwkw6OdQX5ZPE7KF9ZRN6RuaTec/JYfi55ND58+Qg/XlnwFc35b3qUMunQ/r XLqfugr8vEkexb9mHtYH+xfKQb4BPen5Mrz/A/ybvz8B8WPE/tfo83Bfkshr fO+0QQV9Hu5LErlowbC+qM8r+0h4x+VofzpefH9BjSPR6PdwHxD4kahvAUzq T/Sn+OB7RA0q2AOKXsT1ffouYoMK9gDc5yL4lPC8yKI9APeHSP3xQh7koiik I+UD/B0e8ZfEzWA8jSXCRB5I64f6V6rR8eA7OzYIk/Y1+jHA8L3CB73we4CJ /NDozwAT+VwUjvVF+UrzUVqhPKXrAfxVbSrIS+IPBv7iw9+9IPorvuNQSXin pRzPWQm/1rxjr7Tbr4K8Iv7cHE8sp3ER5XguS/iF5h16+fvKYRXkC7Hv51aU J8R+QD2byw8oV/ZFRXlB8FtTUT4Qf0dGAh1fS+7fVfZFCpYDPyf+p18r8m8o l5dDYUV+Tfwh4RX5M5TL659V5MfE3rHJo+3D+VAZz7uuyBGelx34J+EX03ti OfBLIge3G7Ac+CH5/kN/2v9Ezr8Uuc7tSeBfUK7Ice7fAH4F5YpcDaHjS4qi 4yvg77+Bvkb1R+EdLwcXob7APzT8G/gD2HdUb3HE/Qkw9UdnseubfoxruVU9 jyvORljpNxdhOZ9dej7CafJ+LkRYkXPDEC66/0v6qurZ6m8061izjtnJczkI 79cFFZUuzEPY2+876wYxBWy2Cl/Pf7zbsdNQLD/i2Wf78T87sF3jEpLrVYtm h1p77/voks7aXGi+YHv36mxZ2fBumxals+d/vhvi87I6+97+4al7Urnf2r9f DA9pwO4uyV40enE6S2yw5YV7hAu7p8KbVl3ofX2MF7ujwh+alzt3v+CL5R6b 2kw9+Xowwill27c0mBLGPhrrzdh5tBp7uJVtbyHhmzitY3m/pekKv5TmIYHA RoQh/qClR/tlO6TxwfmxrfqdU0rwwCsSvnNsz3Vcb9uTua1vnmEltR8ypVW9 Agm/eU1nvn11wVZtV8fuVP5yqan/pSr+ZWPaO834wp75nzBLXCnBbi2rLJ2c 4MB2tx0S5yvBUe7NW446143d8lkz1co1ndUMv3V4Q4iBvXmddm7XpCDWofae rab2gvsvqrxdGp/T9aLUxIZ9DGMvnxqRLuGf1Gx+Df8vexhch5bYfiO11zvi zaA5J+8bAB+wI8JjfNcmSeVB198uzk9uzl69du7rLOF/42lxWs9mvXA8wbY/ L/qrdne247M2cn+A17ny1qXTpPJaaQNefn3+S9aj3rv0tqMYa3pQofc3tw4x 73Av1mKGfps83tOzzN1PDsDxzxoz/ske/wAst1b35+s+8U1M9AV6x7voZPq9 nxMd97PUX35gM5eUf/og/Ev08uip/p1YwydBbj0k+MtvohuEhLXG9WAdNyNh VHwAu9JwvYNXYRj2B/MNcQew/ooMbhdDLSOxHOR1/QsP+/7lE43fA1+A+b24 OXDY6tetWX91PThaDovpcScO6wP9IY4+aXB6YPf38UgP6E9p102A1feJpXUK 9Lip/p3C8QgD/g2bemdPjoxB/Nb1mVtlc/s4hLtH3Zz3x4t4rH9qvG371/sl u6V5t6d7pfGueRy2ufHMqux/Nsu/etdPWk8f/LoEmLsiPGpmwdCHdt4Id2n3 z/oBA4MF+joj/rDfYL2dLkwf/fuAAazTjD6Dd0nlzfdd6dn6gy9+D3YsfA/7 s0z9PnDBsy9db4Uwnfr9+Lkz1r7bEYbfw/6ton4H9JmU8sLcXtpfo9vb52ze 1Y0d3F59Ualpv9e9klTo3RfLp9n2HZs8yhn58211vl9emyPvhw2Dw8MeLxjm BP3B/nKaMvtzj00RrL06vwoeUdi/W91iu2dJMVgO5/VQPvzim96dpf4n9XJZ MfXxKeUcVFoXUL5XXbcAA/1rX4+cUO1AAOIPfj7Ab4j+V5u2m/wQv0Npd528 Gac3rM99sh6agfIC9gHtPxphiD/asWt/u+vVufyK8p74nXNNno93nu/10w4t QC/LxnKQZwCDPAMY5BnAlN7JOP+61XndLn1ng/gaD9ZcWtq6E/sz3jDfW8I3 eUWtpf1/bM2s1fX9w4pGHjWK7ZhudrX1Q98+M4SvWzbACvmR0RCfkyDzI1h/ oJ83HLY9t43UXlhM1Xf7cyJx/Q5qe7vbT/v8kb7bMy51nlUwiC2sfWP239OT 2IgJmUdM9Pr7i+mOV6T6OxddXdp5Lr+fC/Qs7b34SD3p+4Xra+YmTPkc6288 dmnsc6MFq7l/Tt6jhV2Z7q/jv52Xxne++bETsX3/Z6hpaW1XX5K/QI+1BeN0 9SR+fkClx75xPneaX+uD4+vhtsH1kE13rB+/fVGbh9J+BPrd2Liz/52/jFjf 0ntioxknB+L+K7wzyn96VgTOB9AH6AXr5pDansV3pe77avmzddk5VTc1bM8u tfqh/euq0cw/YdFTZ4l/X+m7zGN5i4Y4nuU7q4wcIO3vEtvmEwv/bMPWFoaP 3myqv23po9gzbdk1FR7l+rd+1cCmWA77BdfX6KmT+3/tzX7zzJgfX53Hn0F5 uv+f0x3vB2B5ZZVfQPm+krpXTtQIx3LYz3T9xiIM8wlweP2QlTmT7NgFFd8z U8wfjdrcgLmo8sK85Ldzz3TNUH6M/rFZ/S/nR2N/q6r+0K2gfTw7p8LHfJxC Du1PQnj7Dvd+E/v1YF+q62Fgg4wq1V8wNvOTAoN9mJz6lSJfz/z0aW8PF5TX 9Xql/bJzlTvyo5Se/xzNOOyL8uuPzdc3pJX5Y/m2X5vUrfRgMJY3d/708mPz UCx/F95n8JxakVi+48nsb09+F4XybvnrLuctmsYyS7X8qoP1Lw0c4rD8ODvy Kmx9ApaPXvhX+sCjiexh+eJ0E31cVr10qPRTBls788CMNyb9K4kdWzk7hTX9 aDmprQT7fO3wTfPiLIRvrxjezLA6B+G840c3xqbnIVztaR2nSd0LEJ5fb/D5 Hz4VIgzrGfRzgD3VeQf4uiqHAU5X14HjrO1LwvWSvEhre8c/MYp912/1gRkL Jf2407y12SNiEd4x8FbP+W7xCLvmfXF6f91EhC8vzIq4fSWJ3Q4c8q7fcml/ t6yr354cxc7ddjp/UNo/zRcX37rrGMMi71qkHZDkeaUGzybN/BjLhqjwPMfu LXaeiEfYOnTUpquzEpnH+v8Z0qX9Hd/h5bQT02IQfuOjb10aGIfw5JwJ2+q3 TkC4xYLfXBwfJ7KwrsZ37fpL9KnnE/znZ9Es6Pavsj5qrdqbjRptGL1J78fq VRsz/88a0Sx67W+nDNHBCEeo47npdLlt1xgDc5274W6TyvaoX7v6rvkjrtUX rMG7Han2Etzl2oUrJn7xi13VTbdqXDSAPp3re7V5SV5PFqrq4+Fb69drvaMX c+jmeylRav/iL3Fd/U7Y4/hAroM+MutNpasdX1sys1EWLS6a9PPFs7JeBFqz dT1fWvwxIRLHi/RLTeueNNOfjXhQu7NDYCyrr5ZDfzXf3agZ/6I2865qbl/r x3bMXcXHWvUPgf5I6aXD77/7LOze83k2bHnnb/2HP0rA/sGeA/4C46n0k/eN n6u5IvzjtpnXN17qz3YbO+i7S+vx4krrhe0nuGO5786PodusgrD8mu7Uvsxh QeyVqt/YqvO3Sy2/8+vuVm5BLqg/Vvu1xog5IQzbcx2QZRPQ0Rvhyq472zm9 88H6i/7yrbt35QAsn1U5c3Q1YzB7peovf9yoE7RtawiWZ36YNerdjhDUb/zT xv+24G4Yg/F0uNC9/6yJYdj+Pv/beT1qhrLh1+wuBV3rhetnbkadr16bxr96 bK2bYxxwf8L8Q/mBkgdnR8czYb87s7bu5tOO7nTA9sbVmCvTp/q1o31ccj45 /TH5cNxZCV449ea5tebvDbDuYX5HLayZtU8q/8PzZvPPajE+/ojixCtfeaH+ PTBcd8xmpDtbteKHwvZu6ezdobePLEMvG4AeGftuhP20LwDn6y6z+PAhOgDt 46zD+zutue+P9PPI8uqR+4Ufu63akx+TTg6c18FPwM8P8V9Xp84iw1lfbL/q lNVW7q+4fb2wlo/vX/lBEj9W8LHIzF71/KQ982rUpWju+hT0B/S/sD694aMs 9BdMeOM3c9iGDPaw0ufJP0rr98rrfz712Mr9DWmW+qLwYdzf8JFNsB7TrwDh WfG/7V5Tm/sb6P5tjPZySLt3TydU+YIZnOOe35DG1/HzIb+WtLbG+hDnd1D1 T5SN1D14V8+efVb/jFze98i02mXReU6L9yr145bWzb0xp7Eh789d6/RH3Qz7 pzsq8/mqqdURiT8MTvvUYFNmJNLL+tCzypW/jUB6Hj+7/uKSJ/5Ib9DHwZ6G 8YB+d9L51vkf2nbG9XLQpXeO8w1LZrM4q8ZBCQ58d+XU05HN8HvA/w/PpsMv muzLeQlLhuSa47oGfwWsR7CvgV767v0nPfq1F473zMngTbNCeuJ6me+/95+3 //PBct9aXaLWbB6A+IB9Rv0Delx/Rf3brXbpH4H0GWh5KuXa55G4npTfCKy/ 27vSmgG3wnC/K78ROJ6snL9a9p/O361wsPZMPC7h4//W49F1ST6ur5zayTK5 Ps7nbtXPB/wM/H4wnvf5Ybf21g5Ffx31PxiRv77q2dvj3Yj+LOTBzuVjqkWj /Q3lRzY7p9eL9cdy0HuhvLZzwu4V34RgOfgPoD+YR4DjG3ivXc8sMN4VzrXi VHuku8eT+ad7dWFbVX8byA34HvwpwH9Ab4HxbEw+9qlZUJSATzyWn90+2Dr2 cSwLVcsrq3YWlL98/8Tjh68S8XuQZ9D/8W4rMnKHuGK5r3HvgWEHeqO9AnwV 1udjt7Spnyc6Yfng+P8t3vk4hZ17b56zqjrvH+zRnyf0Ll8ZkMoudDzY03Jb FJv4c7Pfzz7OYJO2LYjqJJV3XL7yxAJ9NtvS5HTD1lL5waNPQ36qlsu2qrDv k26ld37LQ/h+nZEjqy0sQDjf4UT9jtFDEd6rjhfss+TCymm1f/VCe878N5tP CyYHINyh6d52d1sEI2xxOtF62BoX1qxsrgzfHT/n+oDXvlge8cubbSfS+7IO kSHfmmDvKC+PjpvDsNxr2B6PIcnRbLgKZx3xTF/3Pg7LKz0q+nT6aALCzhPd Umua+WB7aYEnRs5fHYiwzcTmm2wnxyM889uQVbe7hyBcuP5GWi6LxPbSPjeU 7f0yCsvvLDMrHusQi+Vzon9vXvlwLJa/f9mmbUGxG8Ju5o6hPhb+CC8Y0DW9 rl0GGzvT4v0yib7bHz090f5UOJZ/1E+adLMsGuE9G2IN3v6JCH++JPvWxr4p OD/b5N8s9VfSF/s0WuvyVQ6WX42M6JnkkofrIXH82l+nmfP5fvP98/BtlwoR pv7SZORHY7Mmf9PsXH9WpsLb5gy3T2oVJOgTbgIciPUtw+9FH+8ag/CO0Z1e /Vkei7DrmryJ9Y7Hs9cqfOXUgc+7zUxkU3Yv5vxVk09szU2LLps2c3/fs8c7 ZxS0iUV9aEydj22WPInD8roO7jsObU9A+LugWW4lw5MYa9uofeZi3n6ty/fH Nt7I7R2w7z1UewfgYpVvAJym2juAz71VLb/tZeT45Z5MsBvSOB7pWeXZliNj byVg+fwGbwPWrUtiNQ5UCY6V8P3so9NF16GSvfX75u5RY3hc/q7pYxwcXvH3 WiFec6+l05Ggx5i/mPW979Tu4PH+LOCFvopnCX+fddn3Sys5NcpHOLp7vaG7 23O/wNqazUe1bZmGsKfqnxqd86bbWD84T5f2z/D7m/73NpD9eMD/1+QDFd9f 3TVkVHh8WSCugzs17/vbDAthv17v5J5SJRz9CBDftDkjpuuHDeFYv3dIlU4R UVHs2ahVHzqOClB/XZmb+6XY5sOyWdOWgTOTS1zYEIvadZuWhqm/3izE3H7H V7ZJ7FL0qylOt71Yn9Kp8wMrZbHhl4aWfjXAyE7ds2jy3jGf3XpjWy90hzd7 Evv1d2mrotVfP7bCympcn8g05tA/pXHU937MfHnMg5l2fdi+n7/ZMco5kHkn m5vVLvRiD52M/o8eBrCyg62HTmiTxH7Pnz5IPyOADfdaf+vP92Hsh9G1b57f GczuOHZ0zCzPZAtWVSu9cSWYPT/rMmfOV+EseIPT4TDzKLZ1zr2rxa2jmcve TqlmyZEsdH61nmE/5bDoRm42W1tash5/fzP+2x9z2IB+c+cMbdWSLe/V2H3s lg6s/hBf63WrPJg+6da+vJtdWKsRQdMXz/dgg1/f2Gh7yo712dBkoPWwUHZ/ 4XPDvSWJrObPU4qWXOvKfpz/43cRx3NY8B6bF5uGhTg5Zdeo1fEzHm8M66rO pLw1t4ID2azLv9Tp6on3pXFdfGkzccGABx3YDO/d37f5LIDt+OvyjAX5DaTv XKf+vqAZi08v3Vrjti9L7bZ85slf+PvK0E/vBK/a2Ts9EJ7Sp3mvgshAVnXO h5G3F/D3tUBvXBZttXnMpBas4eovpveuksHcZ33b7U/zbuhftcpuc33vsc5s 5vaaZlWW4f1q1qtOWl1HC0/UC9c1P3K38tBgVn9Qs0spsf3YJ9tDrXX+Bazt gxmr3l53Zt5XTw7/TIJb2lcKTbrhzIbtWFDnxoQh7Pdb0/rs/laa98cOu2+V JbM1ky6454W5s2zj8NZvT2WxOkcbnCgwerCV04/GLK7fjbnvXnGrx2lfVj3y /YOBVXqwZNt4Y/ujvmx1SWLbXaF+rEetbTuvrRrI3roe3nLiJ39W60eDb0+X gezrhzf/euuawS6O67Bvw+uB7M1XF108xuexf/73/Tezavqy+/0f2JQn57Fx VUM/LPL1ZUlbf7jl+TyYjfzzq549lkr69eiFdfq0CWF/+wUfyZs7iH17rGfZ 54NSWEDXRpsmdh7EloZXt7kq2euH1yz0tHocxFyvBpzMTItjefMm/vUhI4h1 0H/TYdzkLPauWZOyqQ2CWYv+zbyajnFhsTVfbSr3CWVVs7bc6H3SnXnufjN7 nEMoO7Fi6Ngb7XzZkoNN34Q9C2Fzfm2V9Pq0xA/HTHPZ3CuUdXs+MMKnSyw7 W3/ryu3nhzCvaj5uBycnsLkLsmf4bo5gD2ePePRDljPrYr3CzjCvJ5tYo9aO Y8MGspf3DrVZYWfPqv7PfVzDa1xvhHl919522ZeXJf17Z/a3Vzfw99m+rny9 Tq5HAAs327Ps0tnHhp2VE0tWucawX1L+7tmk1hvDwk3pocNcYlj9xXPj1lt9 MlR33XjqjHUM61Ey9/Xg8qZs0atrbxztYtjWIvvt389ryBw7jZ6SsymJ3XD4 X2TEqleGaSnN136xMYnNWXz7Ud/XldjF4wNnbFmUxOJ2z6jV78smbObm6Vf3 LE1iG/tk1Fr3dSO249NgT4crGaxfQ7MN6V3fGZJu3Tqe0qCQPV/iUmJ/6K7B 7Lf4r3bXL2Q3nw3wNa9Vhb20GTPt+i/V2PHuvw6v3b0PK4wbdK/2qAZsZprX iLtd+rCgV3+5m3e2ZS9yk5/1etubDTvtPWPqJGuW+t3s+MzKfdiIuL6V3s+u xCp3cV17Y2wo+3bb2qcxOxqyqyfGRH05lt9vuOg8PqN1dCCz7eq8/Yc2AcL+ NGdl50fVXXwH8wewt829F14Y3ovNC53qOCghAf8O/MBxe9tdPRa7sR0pm+JX fopDPXfKZ8udGljHon4A/uKOj/5I2j/NlRkWNnsX1yIN64O/1rLjB99dhW7s 5afX+iY/ZWO5d9evasa8z8f2zFS5k1StNNPtSx+UJ1NzL/gt9vVkHVrt3Vqv YzKeT20xhAxp3ioR5R/4qw3r97Z0TzXie8HW1WbVOt/Ai7FJlQOvzubvBcN3 M36eubioky9rfm78sSEJA9AeBLkWvCZhU+NA/j5wWqH9sClNA3B8X1xv53qh ZgCbsrZg1w/L+Ht/XWbbJlf/JgG/g/Ftbdhk5PgGgYhv6+h9279pxO+BD/zl cuzpYYPZ8U1nRuZOqfhecOSifOPMuzyfwKWwJktt/wxl1WNsznU6m4bnhUD/ pndsLj+7zN8P7jVlrn9EL25PFYy4+s1X3SJZfpMWWx2W8feEr/YN7PfiVAab b/vQM8K+MfLdlXa2Yy8UerBHmYOnL/m6K3PJ+Er3dpwHM+7fGblX0j8M/9z/ 621DezZ388MX4yW7yW//4hMNmzgwfc2ZdlMlPW3XmweR9b2s2KEJxvDzDxLZ xbPfGd9UtWcf6xbm7D3G44NcLnZN7DnUnl0dnP/n5AW92ekhxa1+cf4S82nh +n8S/qDOfg8258LpoXPNC9lTH/tvUjybsgUfXxxpWreQ6Q+V/LkouiH7u+Xd ce9/z8DvAqqvfhFxsy0bWjCo/M6oUDZxpPO5l48GoR17rlbHp9XtMtBurfpZ aofCpRnIn+zmmJu17pfDIlvWKj4Y3otZdNwx/5V7DtuxqNP1Z7/3ZN+Mr5z6 T31Ptr1lz1UBBndm+/6rq+1e9mJjdO9+6B7swZ6aZzLfsz3Y1xsOrW2W5MGO /ZI77+kcxv75O/zBu9W+rMHOk1sXJQnvI0v75K9rOo9f17ljvKDthk8rdzl+ ycbMM968M60H8898bjavXm/W9NGOHx5Orfg+cpfPY969P9FCjePJYX6WRXu9 I5qwqU9OVZt+mL+PfMJ2zTGLqCTEF8axMW69xwOX3sxxQL3Ujdsz2NftH3e1 qGLFyuxm2PRZn8EeL70S7/2pLWu9/NPcH790YStenQyvfEeSMzm3zi7wd2V7 vh75KuWoO+vyz6EjRysx5rDo6KMt7TzYL5Nyzk1sxdjE6d7Tpll5sKOnOof6 B8WxjTeeX33m5MJ+2PL7XLuiVPZ4XOmPE9Jd2OdXJn/bojiFXfIrPXLS040t +bX5poLF2az9u5s3PW/3YyNy2ixsuj6Rfdbi0Lnzm7zZyfBO117WSmLjHN9m frs4gH0xpIO59ZMctnBAYfT1skGs0eC/a9Uamar+hjHn+r0/jvZJY8MiVuwt rRPG+t3/vHm/ngFsZS+fxsbBVVjYhsftnnUJYJvXTHH642N1tuHnhLiISgGs uE94pSHfWLDqLnUubricwTYPyje6n/toyNr/8YjjHxls2+Vsh7TK5uzqKn3d KMsGLM9wZbazxJ9DHt6b90tOEjv/wv5+jR1t2dgR3+rDk5LYZyUvS+72s2Zf LfcOWBfjwOxrz/7lmwm92S8XfbI/TenGJnTtdfPk4N7s69vf3XnQIoOtXnuq 3vRrDuzliSk5XdMzBPtCzxpsCs871c+DXVtSeUsVhwg2/a+cXgd/78tO/bSx 282P8exa1JTJ9y47sXO3x8ZsqZ3D7l47OyaokRPLiHMqrb16ABt91MWwsKA/ axTkXOPQAj826rcaU+O3ubHLi1c470uPYS0avPvbp6g/O2K/bkLA+XyWv3LQ +C/f9Gd3tl6YlLE9n5U2TfKyeubOpuw/+/HtlSB20fiP+7RyH7aosq7DxJrB bHr/hPdHJvuwSyOGFOyyTWBNL+WG9q86gH2fUqPHBtchbOjHxuzbnf7sU97t tV1nD2Hh5R9qtFzjz3p4HhxpcziXFRXXbTtXstOd9u7dHXE2Xv0NZGOrt6s5 ziyHZT8u//runkA2Mj6j9FiPIOY/ePSkGvEhLMLj0oa008HsQti8DZ7NQ9j2 kV5pGQ2S2ZUTN2btWSXZ9Uc/r/n5iCA2zPxA5t3AKOZ08kLvSS7BrMngm40T naOYj27F2NcHMiro3zGl4T9OX+bBRkcv9V+nj2E/LEv8LDjrM7bt0qqInyU7 cVrGbzff+NZi51Kinj2X9OsB8wrP+MyvzZovGbR3lsQPW12OHLAm9JPhsW/k BOP+ZmzxuC621tZ92M59myq1e9+U1drz+7Lpuz3YwSuBQ388ZMF+6/bd7Pl7 JX28y8t6j35vzswPnvx1h6SP9z03P9j6SD12dPWyjNdRgez9y9tZfzg0Zc0y AtpdGROK77n/mtzcb1hEPdb1/LRm/Vrh+9hslf58U7MRUcgH4L5DYf7CzWey Hdj1zR2ahKYnVuBX1sdGbW0wwpdNjvjuxFSJH/neKox+t9OS1Tn72Yq4JYOY ofXR+8Uelqz5kT4eiyX855wb27V4aB22slWR03yJH22416HW89DGqDfUrWrh tO2DO4sf19WyfSrDe9rOeQuXdx+aJNyDsWffW4x8EjKrN7vm/cJSsvrYrH1n Lhxp0Q3l/+Q0l2UWXl3Z6J7zUu2WD8Dvqn1wc/zOz5O+fyvJz/Kyl4HOFv1Q P5hdfdHyIbs82fy3pbU6b8mpwC+n/TJr0MPcUPZu9Zg/faV9Gbyy08UFBaFs 9cbh9ZZL+rD72szlnpE2KI/H1Dh6rFUXG5bxPGTiu3f8HlDnHXcslteOYTOW PyzJmNeaHY07u/9EtRgWsMt7wbJJbdhfz09HrLrfhtnUzAwdNzoU12GDph8u GqT5rb7leLu9X+Wwml1WvS106creXx31c6ecHPZwzY0N9by6sSpmAw92WZnD jJ5ja7nt6shappov7/FDDqtfbd11/QZb9tHK+M2YuVJ5h/Nb7Ly6sIc9QqLf zMxhT3RrfrYLs2MnO75emDLahXUs7eK4dLovG9rBoZ7bYRfW5M26dyOn+rKI Nk+WBN9zYt+YnRl57Qdf1MOe3j4Q4ljoyC7W3Fvn2ZL+6m93Nne4sfM/pR7M o4/VpqOjHdlIQ0fncfeCWEjZAsvevi7sUbNii8kDh7Cfz3v8ZTjghfT+IuvZ 1z1O+rLRtjEHqvzUmS262eGo4aIvG3M3e+veTb3ZV785RHru90V9d9aQul9d GDOQHRm3b/4t2wBmF5lVdf/NATjfByvbPNm7aBCLnmhvdW9NGHtsl3diiGR/ FW342K3Rthz2MTK407uR1izaITK+v08A6zXgV/+vjzoa3NYeWNHFPYbtnTLh je/FLgbHe9c379mcxM7opl79ekKWU2bt94e+v5rBzHQHE779EOj0c1bourkS fPFU7rUFPx4z1O6+ZYXJvl88bPo+l0J7w45Xd29fk/hB3q4ld47vLTOkbFod PEuyP1weJ7W1vZXr1OFk9G+nmrww3Bl6/OrqHz3Ymhn7vnR5XoXpenuefyTp R+Ms9rbYvvyBIbzdkh973/VlJ7es9nxQtwarZeN966wkf2okxOQvb3vVsL5a 16lrJHsiIHapg29OLeZ2e83r7hJcffOa7//+rMxw2rbmwBeS/bHgZXt/q378 HfkabeNXf7icgTDoWdNuTnq/pmsfNm7wafeMCTm4vzD/Y5OglAtr7dnU852r tXfl8e0eI9tOTtpsssdir18OvmPQdYn4NPWHJCwHvbrH8vJjZ+u5sqZtQ0NO uwRhPLNrWObBx21D2PuTXvlBHyFvcDgb87Jrx4lLvVm/529dQ3oO4fchjrR0 yjdGsfSXTboG52EebeayafmYz0Zwe+uwrtBt8dhQ5EdbvymZPXCJL1vs/vn7 KJckPNfJaL+i6hH/JDZ12hLPkPZfsLubTsSO80tiuz8uW+g/8At2P9hi62/v /VjNlasvNp3hxjbPGrzRZ4C/YF8NYm8ve3+94Y4rS2lcWqNt3zD2oZfj4v4T GVt18IsHyy6G4T2Uvc+cHui7xrPM4q9/HZbgjP69qZ5VLvW/LvFJF6vfSg7F Y33/0zvuLfNMY/VyWnVt6uXM498cPpuYH8jY8B5Os/3WpmH9i2H/nC04ncLC bQ77h+W4sYWZMxwDz6bgeGsPmPjR/Xg2q/F84qXLE53Rf7j+w+I9wScZe/XZ BKtWf2dje08eXfOxyAxhde3TcsIq+bBWhgCnlwX4LhLe14ttHR/+eaaRjTS+ trsTG81mHOjxqqS+B/LLleWF5n4p7syu3YHQwZ+ikV/D+njvvyYqoHAAG/rG 5/Sew4GYX7fscdpH2ybx7OuytjNz8gcivead+bPSYLOB7PvJDVzsH8VjfVg/ XwyPu7K+6iDW0avlwEHV1Xuih/2Zfd17G1PPFyAf6j7oRqemewtYWo2Djb9Y KtkDO642+nlLAatRNmTl5LW90H52GjvgU9JCX6RjgxXBLzZaBCJ/upEX9u73 0QEob6wP53xs1zyYQT7/J+Yrg5dnDsbyWjujk/7YFont96z72nn81iHsouMt tvpUBur3tTp+376bBDcaf7zGvV2N2ZtGXhPHH8pgDzsG/9FuSwuUYxuehi5v tNGDva3VtX50n/ZsWWDiPq+1HriPb3uO2rJgmgfrdtqjbmV7OxY1uLhx/DyJ b4+N/+v+7S+YbfBDp49fhzK332YEHbWT5ErDBftfjuD7x+vv6aPnZPRk9+8Z 7d7u6McuTpkxMe+LnqzaYv97nZu4sg73S6oP/b4HexbZ3LmvxA9PrAvcfi7w IeYvHOLy/EOexO8+bZ5q+9tPbdiOzYVnp2yT9IF/Tuzef78tS3dPHX54M8/j Eth9jEtrif/9tWlPm7Jj6ez3nlNbttrRXZKLLhMO98pgr3O++ntvgD37tajz iFDfDDzfBnkVXCfyZ39nd/aybrS+qMSDvRo0cWCRqzsL8YheXb99f6Zbbedf cy7mZ2Xr/N2s1uz0ZVeenu5q87iAsRXLoy8ftGN7Dky8tPhWAXM4Vdps+0YH luh07XJb/wKky9I911s5NC5g+7JmHg0d5spGnDhX7f34GPZPw0eJd+z9mH/e w4uXLsSwwwOX9dv2mR871853RMnoPPRfbP2uytXZ1nnsZaxvPw8LPxbWY8nN dAcn1niR0XV7r0A288E/ltbtXNnk/1PWlcdDuX5xErIrqci+r2XLMpY5MbaQ sQ0jy5CyD8ZWiRZGkiyFm2RJKBUKIbmoCCVZs1V0qdxSIffa8xv3No/P/fz+ ej9n3nmXeeYs3/M8z/meTa8Ut+12gJZN2ErRWGsIS3iidea+PaixEMoIFngQ ZFJ0vFNkD3Y7eoXP3XAFvyx3Jo9IJzDU3g9Lj91g1TZ5ufKgE9K3uhfqfgxt BNi+wniqNd0LisUstk65EiA+gCnsQ2ww7JXI4twu6IT0PSk31TDH2Bnqjbl7 To9hgbEo65qruzPsHLsvlbFsDnh2m0uRks7IHjYNv+4YfEWEU+3fzVX+tobo 5pk2hWkiGGmpZGvi7KGzUUSsKZ0IXNqvgmW07UDpw6KLSxkRnjpxRPHWuoAB 89zBgS0kAOvE4nBvd2gJHphneuYOmHz/xSdUT9BdPzK7o/ma75fVlzyCXMHh a/H1ibdHAKtVMI394greg7+51vf7QFPw0rOkeheYmvB9Ld3jDYW2xhcvK7vC PN7MVHzWHHyvcVFeF5DQ++eZnJXEnSZB46G2gG2d1iAkcA/nmUKC8qQTe68z 2MN9vpSU5EAScAf8lfKYZAeP2gYFc0NJUM3lF71sYQ8K/J/8hi8PYx1Pf5tq VvTcyNfzs961inpCxye8I7FSAHruiuyhantCaGJoZ4w2DyQ3SbcqlW3w4W3h F98hk+2Drnc7HtkkWugDlKznLUfceWBfdilGe2skshsuozXiOt6oWXLlzd2n jcWYaMnp8EaCRcie2QczrMhfvDpPNRNaxUAM60Bh2nElWJnToti+wgBHP8ui qKAo8FQPBIgK6qL7uvBtqjxPwxfYuTzP3wj6cLGfRVTWUwdaTU/MlAj9qq+k 85TT4sbTRmIuL5MO0h8TWUaNQQkt8O1mwUnrG6M6QOaOGFGjn25wtd6k+7Yx Bv6IH882fY94f9E8V5dIHltbti7ynwxTgmllmVrQdv1ry4tL7uj5xP7QF7E1 R6FHJT77czoG1Vfrmx1KfM2kv7H/OaY4rYlXC2a8yyXL5o6i63UfO6e3OhGR fdPjW7fglSWpEUD13W3wLji53xCcShQ8In0Pw+LEcY4z87hfccYTilWXA7l4 TUAt0yH4iIQXwjv0+mqNI6n2RUJGID7/Nd+N1e+/+ctYOPT/fmzfVS8T+C5T xLflDgn5NXo+93HUsa8xzwyEtJRWFrf7gibZaeGHvDmqx+zT0Di2/YwpiBKa yTJK3pBgUCozetISjQf5OzW08akVyHBp3NrzkfZ53QmqoSwe+SV7+empnB/W KH63dIgx9JyzgZTjxnuSlw6Dn0olm7EPHnaH6Ccm94ciu6HXX8t3Bnzep4H4 ZYE9E1cXbuAAoe85U4r5TUFzivqtjgn1n4SELoZY4R57qMV8su8zsoPnxxSu tDjZQ1e4/tfs/bRjhV5THsYexF0+LJyXJsBXr7GBKJodXjNp9XWrckI4jD4P u/S6tDJuxA522l6uLls+ClTlA1KJag7o93v0GI6KnHdAeCE77ZbhjTwnsOSf avV+RILMm7xbl0Yd4fRabetsmAcUmQ+5EHLo8TsYJuRuMm165ASe+tTUybPB QO9vsETB75lnCYF49s/ftjk6Ah/fg7lySz8o0voZ38fvAoLpbgRvTV+0b4f+ f8nXTwoH41zgyfjB6qeC/vDffggu8PGhtzA7BwkaFCNrRypIcL8c+2At1h0e DGQdxdzzADov/p27sf3j44dBIAFj1HjVDRSCGrlLrUkwfVAizuSwJuz+yDdC OuQNye/fp3as7YNxrdigyF51iOB6nbZ6xgz5h/uH/S5wjNDywRqhNN9cBbA9 eyosZwAPJYV9WgL6spAWMG36YWhjvWLh+BpOz9sZunZiS75xbewj8hYI+4PF wQO+a598Xhi7F3asnBwWqxSFASrrvb63eDBbzFs1aJSEjLWh7z9GNvhRMDeE tvyMcYYxXPmPS/FkhNff87cRAihkGGNVlrYfVgR4VfjmRwwZgNNij6qQAvR1 /aVqdYkM9a+gqkJKFvhi69k00sgg5TDv89JGFnyllMakTCjI3qdJS71vFSjw JGt+8nSULjTlOGbU+JLBtz1015XNyuh7et97Kvg/6sDF9Dzh2WpNqNunMhMv hQGd6DgRRhNd+OsDC5MUDS/uuBme6XUSAxd6MRZqDTrIbs1GK/ZMEPCwI+iL kvIbE9Coman9GIgH9YvkkIEHpjBUpGnW64UHVZs7Vu3bLUGC1VKwRBUPjd1q 6TcmzSFjNZeNYolHfBAsS2lDklMyQO8PoO/xfl+01j6wFs76+3MZGc1HNLzK CU2+QYY/o79dCxWSguvBtzNixXwgkMS+e6FOCXw26WYVnI8AE77B9u1WBrBZ k43rp1QIaIrXOO2XMYGMFN+MnfJBMJpU9v6a8kEo8tKImhwNgzBzbJvTVyvo 6iWPnPQhgedCTeB1VVu4pjoYdTfBC/kRur/klOOXZKDJzvViNp9d/SGauTJc PdgWxib3zU4RQuEY1jTblM0OVix3sxHEabih+OLmO7xEwNreUp1Z32810XEi 9iIRit54dg1QQ8DyYUt++QUCvBPwH/aLI0IOj/LIYXUSTIStqdlhjkCTYiA3 u5wbwvkVx3C3/rJygPOPtvUbV1PQ+BT223Qf7vZG+vrEuOVrjbIdOt/UQ0qJ HrCDC3XWXFuZd8Kj2MU5zjkPGBTuuOmdLwH6zLufZ/kEg9u0RKYh8QDoFbwL XKSGQ1zpU3N2D3OoZ2b99ncEBeyfRNUUjtjDs3slqc2cnhAtQjVV83HcmIdS LC7+3cUBTIZjOmu7yeBTXR1/bhsX0r/287sKdN1pODZEWvyuJwXyUxTZPPg1 YdfIJFE8yQf+TMJxzhwTAvttxTGxTRQgMarck4nZ4JE4XjWKD5cwg1vDcpvU aiigu8t36OJBcRhsnzPlqKfPHwohHqclKkNzjcoe8Krj/ykngfjqoZ57F8Oj KxHI7rUmzZMLIQTF+X+vD4Evhq53Jm1wQO8HdUx5PO3hktW/+ySXw8AkM49y Qt0KxbO9kocZbWZtUHwk81XsXqPp0yN3seby8FCUv+ErM1IphUS0/4Uen/1c spL13jgBR7lIsU/pL/2zJaDn8+0OLRa0I8J0cfWscnEIOk+PP4SttxcfcDuj +5W1ZH5ZliChfPPGhxfVEvxuaL/mLsIC+52rJKBqVdxuj9GEVhnqmXQLB+gp Iu+4smODt+1fXjJPiGj7a9FYXBiSesfn5Qq9Yc/BlNEbqeroewJk4deRorqg nyHwkEeXfj0nrOk6jrIW+yD5sWwex59P7H7phQCM7Jl7IJFsB/le/A0txsKw rSZaztPBDgYYQKM0Vwzxo4sXlIwkDO0HBSbOiBeREUgv6PlpTvjnoedYU7A2 0/tIWghGeCQAp32oS83nv/XltPgnw4U7fX3ZAp7PcLp8sQlG55uPfkreWxKM /B69X1LneKDcwSfmaH2UMhYdffa5NWwuD+w+uS0I5e+fZKOYLzmEo/v9czwf Bicv+BoL0fDIWE9Bac7LsP/rx1MZY2DLFm0DwpILKjMKgTAa95CIXcGj9dXL DfdPfBiyhY94QzHLr35In85X5nP6coci/PDPeKmFQq3PZ4kMgh2kciZk+stS 0DwFnb9mPHq3YIQMndePAv4G7VWGpvYQolkWo5lHQXwndDx4Ykuh7WkJR+jM klm8QyCDgnimqN8ELR+6+jidLBiCcAvdfqZSuvE1tQTkP12ZPxp7ebpB6R3H 3iPflaGKdIb3g6MD4Pi6bOKiNMB3EyYx2NoBFGszzxJv6kBYBVvuM39n+Jnv 7xRnrA3W3iV/KJCdgW8yNeKmlwh8ePx2UtLdAeIFfE+c8ZIC1kBXqqTrr9/3 kgxLQ0kFd2Eb/G7JIaTTSY8nG3xVlovs3NR3eHgCaalv3+hCV/lIdpuZGZxj 7bBkadCEPxjVL58JMkPjxc45Zxenrw0nXsYnszlREP4XySlU0VrxRvl7R+4t RQ5pHzjbJBfjaqwEh3IYk0sxPiAQrfrw56I8UKim+tvTfZD+S2XvlQtvoCD5 tWN2Y/kjMsTq1L6vqxCG7596+F2E9cEvQzFUzcAMZg/kaChOBwAB3+DVzWYA dz4P/rjZEACanOycO0Ox0GdSOsqSFwBncW1Xm2nwgprKmbc+P/zL32HZf9t5 Y33+d5eyD4t4awvWM/mdcyrKv/TQfMfmP7UE7mtv5E8Jpq7D02edUb3gaOeq 1WQZCYTcfM0TDtgg/hrp2x26XSMBEKg3E+cJNjBx70ZL2L0NXm0xy2ua1tc8 IFwvS8IhSwE0vOJbrl32AH7LW4nnDBRBtadJs4ohEsUVVz7B8cmlCFBrazkh 1isHipXjWBmaPI/Jr2XTkQche++dF1giITdr/7w8LR68q/Ln3M8cCatWj57x 2ksAK1P5s4EiJWC368Js6UR9SuBlBulgIU3Oq3i8+1IZHji/WzMGMu2Fhi+6 yqmOtjBX9r0K3GSBnVdwmoF9Yx893e6q8yssYkelEE5oTpr9A1OgAntDDl9x 9MIjfShrOH2q9bQtyNT7vb3iJ4N49D6pX1hJ/agMRnkyOabJNuDI0/j7PVdF EAt6Y1tp4Au+jIzXjMftEL7+FNq7EhVh92/d3GoEtN3eVDopJ4ueoyw1rWB7 HwOLWkXtvDyRYG+mQ/QM4wVdgeYvd60V4W3v2M6LRAdg+iK1zH5OBq4aUbLE afH6FSWS+m5gvV7/4lGVRGmA11VGCvUecAD34ugEsxzK+zKXd6Y/6zMF3N7Y GRlJQ5hJOieQNm8KlZfCmX+W4qDg0KhF2iNT0Nc8c2h9fcLmKKuG25dAAyUd nN26PLnaVphvsBsr7VV/Y10f8Q7Mz7IFDhjUZnL8s35hNZ3ivtVGHmvl8rx+ fb3Cv+G9xHNBWazO3YX89fWJm0O5SRyaMqifsQnPMNkdowtBk2SDmCNT2MTm ALc6mjzPz/bbi8YpbNylraU1NHlTp8pP1Rcm2Li9/PenHplBVveK0bm7RtiM 9FMlFu/xcEmLZ3L0wH5ssLWeUKkHyuewCzjmaq5YZ+DO0KkdYh7GHpWfm2eg yQvwW/n6+orsveuhIL0Le8qclbBuP0puRvurKFuxSn9Ly4+zRwKje2Jg45Qg RP2dXF3Bs9H/LiHV/elNVjsYLCc2cy5JQFpzyOq4nA/yt/dfmHW4cG30f0ts JHa66wbCILdm+9EqXdSfJDt4TcbcTx/4max+Xx+vX3qNPa88+8/6D13GLq0F cFfawlBeYMq0jjQoskRLfmbe6GehE3RO5QAb7X0d2lsrN4vAXTt9vyviNiCi cHeHvr4ywjPqP0mpGl6H0Htlz+Qw1o/S8Lzrs9CAiY36MJUgIzxObKNfXKfe 8sDn4gDIfRyO0x11hq1927JfKJGR3fQVV02HjJpC0CoXR+EtEtRx7Zto1sBD kBGXjupFEmz5MMQroHkAil9LdHEUkGCkSaZD0QAPo6fvrPyZRALTd5kduDZL CKuVil3JIkHIT1nh2X5jqHTFHv9SSoIDIy93JqzXm9Uxu3mdc4bnVPWU9fof wi0ekfiPeOiuP4i7nhUI8UJzWsQAbTh+ZLZjvX7ninOfbIuvLqQGdZlvyQ4E thnGkh1ZeNhFvdeiTpPvNjJEzds7Q5r38JeQSRx89fe6ub7f/n+/x2N2 "], {{ {RGBColor[0.148, 0.33, 0.54], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmnt0V9WVx2/IkPxSk3vz+1XSClQQRaCotFOJwcG2SyuDFmeUAFpbWwJF p63ykIfKS1FCAhiE8H4kPKQKKArSykMC+IhgZXzgi46dttMZETt2bGWWzPwx s+b7yf5mjWuxOfue37n7nLPfe99cMG7SyIldkiT5ZnGS6F/y00z/CZZr+IXG FsEJ4Xs0/kuaJC8Kv0ovjNU4UVBTkSRXCBrLk+QejTMEB4RPSmJNnaBac4MF CzQ/2XPjBE2CuYL7BbtF/3ei/3Ph3bX2PMGNWv+M5n+v+V9ofqnGPwtWJXGW n2dxno3CHxPekASNR7Og8wfhj3v++7kkOV/0NJV8oP92aH665n4rfEsWNP9V +DbhUzX/b8K3C5+WC9rQgg5n2ZrFeXrqjD0EtaJ7oeYvEjyi+cu6Jsmlgq8K 31Ckuwr+LLxFtB4QHNZzlWjs1vr7ND9eMEowWvAd0XtLcI1gudZ8qDXdypJk hfAlwquEN3Mn4ecI3ym8WfiXhW8qjjP0Ev3egjrBJ6LZLvil4NkknvtoTavG KyuTZK/O07MQ73AHfofvfXwXxguNn68zfUUwpjz4vicJPhwRvCF4XTDFsuVO D4r2at9/pc75iOh8Sec8pfEJPc/Q79XnaG/Re+8LWpdPkv8S34YUQlbvfCHk 9bBgjnWFdScFh0TzA40fCnqWJslpjX8UvFwasj7l+UJZrOkhfEMu3s1KkuQF 0XrGd4DOKe81x3o9yXo52XfijJyVd9HBX1pnPknDTrCRUaXx7mzB6TRkg1zm ml4HLfF8j+Q0S3c8rPWHBG+L5h+0/992CX3YrN9Lzwl5wgN4AV+4xwe+y0ei /5Ton1cW8ulj2fXS8/Vav100T2putdYs0Pw0yW2qYK9+q9LYrSLWcadh5XGv qzVXI/wKwSnjW3SG/eWx5lrBr0VzjWg2JnFezo1d/JPm12p+YRL3GoD8RPM3 ml+v+cVJ7PtdzZ9bFHr9ZBa6/b7wdcIXac2t+v0S7/vPmt+Qhfzh929t+8iw l898r2gOLA+etWk8WB7P/5GGz0JPH9Y4U88HJP+Jwr8mWGk9x89sTOJcVebJ yZLgD+es9ZqlyLc8bJ45bABb2IwPlN72EC/+JLqt2mdkFnxZ4DXNSdDobjrM ne95aOFDNiUxQn+Z8B+Ixt40ZHC78MfT0ImfCW8XXtC6ecJfF/56cdhcrf3I 13Xu/oJXkjhnD9OsQWaCYYLleu8ben+N8JvK42zwo7pL0MFH79Ka2iz0E181 Ogv9fE1wCDkL3hW8LDiKbXo8JrhY+98h+FR4Q3mcl5iyUPgXha8Q/o+CNtPa I/o3ZyH7TZLTw4IX9H6rxvmCI8Jv05pRWehVo6ChJO40SvMTstBR5FZl2d1c HnyGB9D+Whr0r/e690oibg322dCl6ypC9/AVc3LhZ6D94yz0v4/0dbbm6zX/ HLpcEbq0TLS/rjWrhV+v8Vnb1o+En0mD/4uF/4PwKXp/kfA7hE8WPlewSvTG Cu7UfEkW/GnkrlpzVPbUILwOHpWGruMb8NkLNP9DHJfmv239Q/fWmh4+YZLm j6ZxVu7OvfEP2PiHFWHvS7TmQXRM93tE+FvCc8KXCp8vvKwsYvtHgumCJs2/ qfkSzd9dEbTg21TTvNvrTleEzZ72u/Cqxv6Ffe8SnZfT0InpWcR41g9MQ0fR zydLg9+nhP9Qaw5gY3q3QT70KuFD5VPrNX8rsVz3Gip7vEx6fFZzy/S8tCR0 +gE912rNm/Kltwn/NA17vFf4e2n4tHHCDwm/RfT/Ogu5ItOxwg9iA5qvE/6/ adjvJRpX4PuSiGl3phHXyC9+lkaOQR7x0zRyCfKLn6SRYwyC33regA1mod/o 9qUaV+ITySXgBz5U+CxsoagjPUv+lEZuRPz9OI38iZxnsePPHNvwZMeecY5j PA8qjhzuriRytEmOeVMkg33288QT/AF5Aj5uN/5A8KhjJrFzh+CAYL8gkx6s 1/k+6xq+jLVPC3aWhvzQOWR4g+U4x3F9seN6k59nJREHFvoei/08yet47xVy BN1hWJfgSZvptuAP9NtMrRldGvF4ln0Mvua4YF4ubIPcaKPP+JRgaxK85G7r fLftScj+ccFjSeg/Os3atf59WxI6us3rJvqMs+33iAHoyTXS1d7i0Xc01pD3 Ca7uErkz+TJ83WK+wuse9lvwcrDz6y3eE37v85nI6cjtznNc2uiz8Pten2mv 17X6rjuT0KcnfM/mkrATbKY+Fznr+KKIU5x/s3Vggc9AztJWGvaCPt1v2eCP B2oc4jORd77kvV/280L7buJlC75VcJFghGy4r/zlxELEFXJJ4gw+DN+Ir3u/ MvKhuwpxp6Omu8x5Nbkm8iPmd+Z3jM8nEQ8HFEWMesXPxKlNjlPEK2LneNvK br93xLrMyLne17oXiyLGPu054tcAyXaxzrClKHh/zOersZ7Woye5WLPZNAY4 Th/yXdHR4RVx3x8JRorHVcjBcjtkXd7p8SD8FL2N5iP1A7GdGI/PA+dO2Aq5 GnngRc7n4ecKvfuQYH1R8K7OdcNftK5PUewzzr/1No+I568KbrfceB5WiLzz ao3VpZE/PaffluQiVuKz1lmnoNusufsFa4QvdZxd5RqJfdDTJvMS2ey3zI75 bjXWMfLNi9PwFeS5M5zrkp/2tT8nJ9jvXJFcckAafoactH8a/oW48YZjB7H0 hOMpOWm/NPwPcXi8YzEx5DXHEWLy247L5APY8orP2R62eMB29sTn5PeUbXSb bXqq9pqSRd2333O8Q00NXeLmNP3+Shr14TGNd5OTVESNe4/r3E5/hH+aZn9O nCWeP+SY3ma/CN9aS8Jv4oumO1YTR7gza/BjV+md+88JmY4pDd+Kn/2j6D2t fbvr938Xvkt4j7Kw42bBUOHH8uFfKgtxlv2OL8Q/fOtj5tNqn5s1ezvllQsc W+C9fZ5HphOcj5GDzHMeQh5LzKJW7al9r9QZ/z4f+rzT9kKeP8I1SHs+/NFf FcK2kMnTtvvd9h/k18OcY/OM/3vUv2/2M/5hk595f6Of0c37XBOR11M/LPPv tfbtzIF31hejvQbbHW375V4jvWaLaL6bRr1L72Wh9a3WfqvO9zxuO+3bJewF ev2KI78fm0RPhvjUmZM3GscmZrlew1Zmu/7ino2OU1/V/JwsYjY8a/WdGG90 DEKPb7IsOnooScQEYuxW69h9hZDFtYWIEZ26cNh87PS7u8xvcvc213cDXetR E3Em7A662P29rk+x3ZmuK8k5b3Vduccy3Go5jXGMu9l1Hfzv7vPDc2qImx3H V+kuDYJW+6tW6xa/3+I12DnxdYNteJ2fm9Lo6VDzbreN8hu1xb409PnZNGq/ GucOxH54T3wjzrUk0VdZ5niHH8WfEiezQsTwz/T+Lt1zdy5k3r8s4kTfovDH 1DDdiiLW9yuLeA+di4VfUBT1SLP98zzPkzNRhy0XPJlE3CB+dPR2qGcEz/ls KxxT8N/EO2LFGq8B3+z5fj4PcYL8bYHpEyuICcSGJUnkeEscR+Z6nnhB7KZO JEbM9L3IMb/rGo+Y9GXx5Bn99qVC5OL4KvSQXIzfewq/Ih89u3PtM/AlDyXR p9mfi5oXHabXgo7eIJ+xLxd59GT3c1rzcSfyAO5FDYAvJP/pa1+Iz2HEn+JL HzL/LyTGuublTqOcK5IzIjfkR4xvMI4c6S+SF5BvjSkEzRsqI25yBng/VPML pE9NhYjJQ73v8eLgSf/iqLHZ91dJvNdkuUzU+Frx/+fZjMTWM/mIGa/ngw/w gDpiZD5ynbMaR5cETs7zk1zsN8g5yOXFwc/P8hFv38xHLcJZ8Ev0B4m98zVM 4FzFocOHsnj+JB8+rHdx+Lz+zunIDX7s/AJ/v8vvjbUPTIvDD37seERcej6L 8/1nPuIovVfq6iH5WN+vMvS1xbkOfYkm69sp9+LoMaKrxCriFL9vcu+iuBB5 7sdZ2Fqr+xgPew10OvI3wfPCG42Ty1UVwn67FWJ+pe0LHcAHcdfjuscTubgf etHgXJCcl37km0nYL33nw7YRarSDRVGngY8oin4a56fXgY2ucY66yPu22DZX 2e89YJp1tuM1tmvutdq6NN/3JecjR6dP9A6+tBC285VCyJl+Aza33vZwofPS B+1b1to34d82eA3zrbYHbKHTNuAJ/mOBfdQq48wfsf9ifo1p4us4Y73Pic+b 670Od94TG9N4SS7qynad+aXP1ZaM5Eh9HA+IBZ2yRF7waZ55hR+d531Xmz7z y3xf9lpl34cukWON9j74iXrzZ6nPiW+cbx/azfn2LPtSfBU5Fv4Kn4f/wu+d WxZr6CEg/5nWAXwV/hF/1bMs/NdbSfjUmaZP7kvvCrteZ37CN+px/AU+gj41 /fezXeMc1C/U+4usU/DkkO/I+c/ab5xwLnZbLr6b1Fn29K/qZYft+J/K8O+z fce9Wfjv6nzYI/umlhF8wy8xjjFOz6tW+LaSkCd1LDLF/7zkNfStD7snz++H vabzuTGJXgY9De7FM/k0OR400ZU210A73feAF/gJbG6U9Yc+QYv1BHvnOwU9 FNaQo+MH8YHUFfTe/qZrQM7zyJZvC6stR97FroldVY5fnd8/oMnv4Hw7QP7o AX0T/M1Cn4FztX+Ob+3Wc/RwoPWf/tRg86TFOLUDesFZ0Q3uTh04wvIfaV7B d3DiFt9q0Ce+1wzpGjJiH36v9XrODR1iFr2F4aUR74h94OgJvYTrSuP3O5xz dNSkXYJ2veXD+bGjzj71u44X6xwzWHvU65HtTp+ffa7zXsj/EssXPXzSa077 uxPxkb4v/WhqFHwzeot/Jv4dd9+N7znoaue3LsYvVkaN9d9d475d0HnhN+bD l+PT6WsQD79ZEvFvUNfIWzgbPIR/dyZhQ4M83y0feJXGHSWxvqd9Mf0YfDM1 Fv6f2up/ZFNtWjNM62vzYdujNL6dhG/gHeIZcY3vHuSa5Jz0XPk+hY6hd8/6 m1G173TW96q2HcA3eMBafhtVEvdFt+E5MkbWxN0Jjun4cuSF3Nbk464nyO/z wZOFzuO4J+8TH18VXJuETnX0vK235DC8Tw7IfE/r5w7jG70P+96Sj1r/e/mI WVf6nO22yfmOEfAfHYPGNp+BGPy85Qdfh1hGY6z32Nq5lcGj8fmwIWiih8TG EsdH+mHURUeS8Ac5+wRynF+5rvu7fNj9xnzYdaPzCnrJg7OoNeglV2dRj9BT oddAf4Jvcd9ybYJOUI919tgY6VX8II1vQvhCbIw681XnXvtM67jn6XN85P5/ R19BtLemYffUajPcR6WOu9ffDuijX55FXUTdU+3vMtj07bZreiH3uGfKtxre 5XsItNiHupI+wTR/62Sfe/zd4SP/fQL4DMc6YhzfLKb5ewT5H3kgdSvfQ+mJ d/Qr/E2DuLwtjW886DZ7TfG7d2juhTTq0umOt+xBL4T8nPx7kfMp7oONoRNr 83HWqaZPXV7t3ut13hf+3O3vU6zhjNf4nOx/tc9A/kAPkf4edX2Ne8d8k5nq NTzTd6YGht5w02Suxt/mDngN+HDvC5+3W7exEeIMOTw6t9S2Rp9hpnNMcgZs +zPbPnra27pK/G5zfGhyvkzdQV+V3ih5/Z5c5PH9/d5l/jb5G685iR3l4+8g ripEjkR+SJ44zznvBc6xsQNyRfzASOcA5GPkgWudN863fzmvEHt3L4T83rae EB/x38Tueufy5GPjnZuS/41N4n51SXyjJrfmbxYmOE/Fn8AnYgK8os7o4R4N tdEe10f8fcAe15fDzXtk+lYW/H4xizy4t/f9VmX40M35yMNec721vDJ6V80a 5+YjHpFPDXTvBLrMpY5T9IexAfTqQ3/XQ+8u1Ts7yK8Kwfv3zX9w5EEve6V9 Dvrd7hgD75DfLtdir2bhj5/zt96B7sngx/GLR7LIhakHWhzrkRU5w6eOBwet Y8TgEY7f480HYvVw5wP4R2pRfGmvQuBb8uEf4SG8JH8hHnTkgZUhg/X54N+N JfHckg98Qz58NnXvXY5H1CHUFPj+FscUcsZ3TBNZn3EMAj9u2cPL455f5jXY EP4X/0peudN5JHfE7t5z/OLb9Uk/41PA6S3wtzyt7uWiU+RG6BUAP4Z4r2bv e1M+8qTiyrjv5dYZcplh/l4AP6FDLnHctogNDPYd2Yt6qZdz9d4e6Yttcj+F Xiy0oN1gGf7FcYI6hnqMWiBzforvOONvUpyT/Rf6DPgA5vEDZ+xzOr/vMtIv PeGa4tuVEXuJwW8Yjjge/x9z2wsx "]], PolygonBox[CompressedData[" 1:eJwtlmls1VUQxS8U2z5p/7fvAWUX/GDQyKYiskOQkhhBaSmLRlQgstOyiRQX xAIKspZ9FRGi0URQjOwIYkWQXRAF/OIWRNFEjOAHjb/j8cPknTMzd+7cufc/ 824dVl5SVjOEsAmphbyUCeF4EkIJMigdwgCkGHwMmYntBnwEeEYMoRJ+id+6 NULokxdCBbwoY/wgMi3jNVq7BL854ElIVe0QbkP6FIRQSrwjN4XQmySKwf2Q anhpdgjdsa9n7VtIe/zP30xexHkN/jK5fgsfB/4ZaZwKYWpuCGexz8LWiRgb ibUa2Qceh24VuD3SBNwa3X3gWeRTGX1mnf31tPdWDMVaA+8L74h/Y/BY/K4g jdjvafZ7OO29KvF/CDyeGOfI6wa6YfCuSPOsELoRYx64ToFt15Gh8DHE+glp SLwpxOvPnlvhd1C/s6wZAO8RfdYK9tiPbSi8CjwYn33wYdF4ELIDPhz+KLhD nmMVw89lO2YV/G74StY3YM8m5LuDfXtS/xrkVo19DPal2DP5IRTovljbGnsE t8U+Cvs+YrVEPoaPgOdwP3vhb8IfgG/Msm4C+MPEufTM99qR0b6KsRvbEPhi 9iuB74U/AV8CHwDfA38yGpciu+CPR/sWI7XIaS75NSa/LOG0a32U/edznrXw duB+6NaDhyN/UfsZ5FaOfy+kecpvYgdxe8KbpawrBSfI29SnCPvn2C+zfkiu 96wGf4KuLNdvuH/a34S+DX0z+nYORb+NTfj/CS8np23ks501DfFdAj+R5RiK 9Rs+T4FboDsO/gMZDW8DPwVulPHa2+EX0z6jzqo1+6O/WX27c8GzdXfYT2Kf gL0a3UL4sSzHPBj9VrYnvku9mT3RZ9Wd/0KsA9Hfzgb4tbRzUm7vsb6Q+J2J twu8Hd1EcGvkHfgx/C/g2wXelfj1iTMD/w1p++pOumLrhuzOdY5LC/wG9RYr WDMf/03qQcTqTH2bgpui25nrb1LfpmqgWryPrgG2dWnftWqq2qoGqoV6lnpX vYxz1x3oLtST/utN2LtkXGPVWnvcAq+fcWzVTLVTDVXL0+QzGN+VrPsxce9p wpvZhv2HxL1BPUnfwmfwonx/E0dlQ7eCml5G9wz4K3RzgntaN/AUdF9g64U8 D/5GtcC2AHkOfgn+arCuAv41/BXwXORZ+EX4vGCf6fALiW3SHQSXq2cTew/3 fQQ+GX5/vvcsy7g3q6ert6vmqr16ck3Ofxj/MvTLg2OoJ6o3qsf+jX5S9BmU u868M3EP0LdfxH6fwsfBl7G+DrrTaX8begN6C19iX4H9Cv3uMjITvgxeSC2z keE6O3wi/odz6NnwBdG2HKS3zv7/HelNjdKs0HeR4zWLVGt4gNfHv6/eZ8oz SbNpIfbZ0Tlpz0r48mjfXGSzah29t3IcCX8x+j1oz7PwxfBUynuegFfBa6fs c175IvVSvrNZ4EXRsbXmlO46uh7KYbrmbvRZpDsDXxh9Vp1BPUy9TGcYCH4k 7X2030Dw9ejerRmkWXQX/E5irAqeAf+AP1KN8jxT2ka/Ub1N3XE7eCv4GvBq 5FrimaNZox79e+Ierd6sHn4P/i0T+2qPidE9W71abyw7+g3q7ekNTAMXRs82 9ZGt4O8Tz0LN2NHKJfGsmowuYD+g95znGfUu/LvENs3Qqbq7xG9H31R7eBv4 OvBa5F7VIzHWmU6m3ds0AzvxFrpjfyzx7NUdtUCXULtq5IW0e5p6m2ZCK2xZ Bf7v0gF7CbYeBcbqWc24j7pp/9dog9QDzylwLPVI9cpS9uuQuOdpRus/gf4b aEbVxV6Y9lrNHM2eLZoR+J8h90PBdzc2elbrDlWb8dHflmq0GfxrYt8PkDfg VxPjLZpL8F8SY/Uk/WfTfzfNwN7gq9GzVTXoyP7/AtVjVrA= "]], PolygonBox[{{4735, 3863, 3704, 2233, 4155}, {4669, 2315, 3719, 3971, 4740}}]}]}, {RGBColor[ 0.47681049834781497`, 0.47127525501041423`, 0.538775937073489], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNm3mUVdWVxl+9V6+oeq+q3r0XVIQ2vVBbhkRbRhcyOKEmDkxO7YpKMxiV QYxo1FaJTAJSBc7gEBE1a8W1VBAK7TbdERUHQGZUwP7DAJoYR5BC4wD9/dgf bf6465x37jnnnrPPHr6993mdRk0cfm0+l8strM7lCirThlyuuZjLbaaxlMut LudyM/XufJWr9Hxbl8u16v0avRut8na1rdNTKUXbetXvVf/v6qL/dNWTUvS5 R/XnVH9L9TtUv7Uc8x9Q3yVqf1v1u9ReVn2t6nNVPzLRvCr7ZbnckHK0l/R+ Fd9TfRbrdv0rrafG8+xV/T9U/0T19eqzsl5z6DsjtMmOat+g9gVqX1WTy+3R c7q2O9f1Zj1naP9T1XaDnusac7nf6Bmn+rZUa9b7Oq3nOtFqop7n1fe4WrXr m3eozzqVU1RO0vPTNrlcNz3Pqk9b0wf6DSvHGjqo7ULN1UdrO11lp7qo9yvE OMaPVf3XxagzzwXq11t9eok2t2v8p5qnrDWdrPf99FxRlcs90SZ+U1+md3/V 06R5Fqj/d+r/F+19jtqGqc9dKoe2iXpvrXm++nyrPh9VBx05m0aV1frmLNXf U/tDGvOwnt5az6l6HlH9Ro2tr4nxjN2pcoF+D8n9+I0+qi8rxvhhqvcpxtir VG8RDR+tifmYmz7D1X5LFmf3vxWdkebcrbU16t101T9XfYu+tV6/e2n+y3PB YzU673rNPd/tvTTnuELQ5CeiyR3q81k51gvN+ptWn6rPDyp361mp8b31e5DG FtW3jeZcrHGFcsz/bCno8UU5aDJH9S9Vb6gJmtEfus1TfY/at6vPLPHRokqs 82TxTl89d2n+DvmgT2/TZL/m+I3qPTRHdz0fqn5WQ/ym3l/9j9farlD9dypP 1HO96j9Po/60yoHq070QfHhuGvVWlbVqL+vpqPbNbaLeQfV9el9S/Uvtvd59 6Eu9zn121ES9i+rDVW8pBI1oK7nPr8WXPdXWT+Xv9L0h6vdIGmOYr6vKcTrr terTQ88p+SiRtfPUd2kh9naRxqwVLaZlcQZ8Bx57X2ueVhV0QE77FEJWr1B5 dz7enanypELQ8DDRu7/ofoLXyhjmOVzn8pXW8YDOpVXvT2sMHpml792gepbF HtjLb1W/XGWTxk4xf8An7HeZZYvfeX3r3xuDn3rWx3mhc8boOw/WxHkh8+ig B/Xd5Zr/c71/IQnZ7+n+H1tmd6r/kzXBD1erfpLocaAmeAQd2E79R6q+Dj5X fax5hnnQIdvaBP8c0Lpf8XpoX1sb32B+vkO9We2dyjHnW5q7t8o+9bF/Sn6j Ayl7uf6G20/Lh/4/rD7swlvW0ejnr7xW1rk2Ddn+QuWHaXz/XdFss94fpbGT 1OfPqndRvb36bVCfRSr3qtyk9n+qD134geqdVT9C7wapXK7n+mKsn2+nVaEr u2r/v1T9GGyN2ttWhfwttAxC1wOmbVfr6vvUZ2EhflNfbduGXWMe9kjbCI07 pxA6Hx2DrmFOdBN6Fh27Tk9e5/qM1rJPexgvur9WCbmhDu++Vgx5QAberQ49 u4TzUr8R2CXxRg99t2c59nhMFjwD70AP3kET1nJQt2nMNdIVV+u5X7/f0rsJ mv8mtXdWeVRV6Ip3zf/3Vwc/7q0NnhytcaP03Kt+vTR3bz03FEPfFrS2TdVh W9nX2urQjehFDTlIv662U90t25NM5yet0x4x/yKD6FL0qLZxsER3gw32FKOO Dt9XF5iBNvBJ0hC6dHN1rGexvrFStLpZc9wjmmxQv4m1YYObtJY5es6uChml nqj+eiV0xr3qP7869o7uwJZsysecrdaZv1DZpDWPqA39/Lc06h+r/KueavU5 XOUzKkeqvb3KT9Oo/7ES+gU6z8sHFtpDXW13V0e9We09tY57OEed7WZ96wW1 90VHZ67rfb986BF0yMAkeGdjGrYIOkKrk5PQc+vV/s8a+0f1P1Vtf6qELW1K Qr9eXRv90K8l0XCNysFqG6LnRdFnmMa/qbYLVc7OxzvaL9bv9Wq/VOVzDUFf aIsdhG/f0Z5Sz5OYp7Hn6HZ+M8/P1X+K1rFC72o0z249v1L7l2nYf+rggbfT wA/ttI+v0ljzikrYa+w4urqb2rrWBt+vEB0uqw1dhw3E/sHn6Eb04mV6fgYG UPs1qg/NBdYDh4D7Vhn7UZ9rTLjQOpu+yPNYfWOpxm9ENxn/HJ+P/vQBU8Er 8Al4ao7r8P5T5n/ahxp3vV0MPYLMNpUC32zTd84wZhqk8ph8zEMb2LzZfZ62 rT9a9JldCvyxFV5W25Xq/1kh1v+497DIdXQK5ULXn7Js3uR2+oEvOut8X60P e7rJfdCTv/de6D/MNGLvO1Xuqgn8cCHYVN9v0RrHaY7x1ufQaZ5p+2SboOdG fasBzFYOHUJfxhyi9zj3QW88aqyIPvu919DcJvhwZj6wxuCasEfoJHAYPgX2 YZBtB/K1yXvhDDeaDtjBZbaJ72i+LW2CV8GEtGPf3yjGN6+xHbzUtg9Msl3P OVVBJ+anDz7PzrxlHPymZ04+5mvxty5Q2/CGwBXLa2N9rI05qPc1/tph2sKn +CDwxd/1/W/qw0fDP2CP+As79cwrhE1/uk3gY2wTJfKALGDDqWPHwSZrfY6r LQucUa+6GEN/eH2D5YWz5bwLhZCZVeZPfrPOLuYrzggsttDyMsIYcqf3cpX2 u6YQclk21gRTXSoMNbsx1tUkmm+0XoZn4AXs2uPmU3gbnYY+Q0d2TKP94TTs bB9jvh2i8U7btXEN8Rtb+EQx5OaTfNi9He7zYiX0yaAszhK9gR7Zpfcf6nlA fa5tiN+fw7een7mvdDt9WlRu0/NKPs60r/UP+z7O+uicNGxlTnJzVUPs9TJs Ob6k1vayfl+o9hUqf1EVvhHnwVmg4wbazi5Rn8V69tbH71Ose3lONe7F98Hv gaboUWiJ/hyUxtq+077Ptv+wvxL0XmKag/deN/7bq/FbC8Fv4MwD9im6eL/n VgX9ni3Gu5Fp2MC2ScjE3HzIC74PfAPPoB8HeZ03Gt+z9l4N4Uvt1++BDYEx wfuXqH5xQ8hXo20rdrW1Enr5jizWgy7Dvj+scfdZJo805sH+1+FXYourg87I JFi/xefGuvnWTq95onmA8x+j52/5wJmbVN+op6JnbEPw1OVq7yte7lQJ3NKg Ndyp8od86C5KbGulGGvfb11B+V9VgS0P+rfoDbUv1fO16D9Zc/6kErgPOznf fR7SPLM1zw7VF6m+oTrWh3xDk6G2I9gQ4jwvV0IO94BhVC4vBoa5SPMfWQn7 dG0SvNpH5QR9f30+ZISYRqtpCvYCgz2aBs4Cb4ENiFEQn2AdYN1DPt/EJHj4 MJ3Rm/ru14XQCWBvbNdnubBl1MHhLdbPn9pPxV/FD1uYBB92UFlfCFwBTz2k 31ugjcqfZGHX8CdWJDHu40rgIXDRbLXfn4ZMNifB01v93W/SwJMzNMeIJHyn 7lnYImzSqfZf1xrrbNXe32sTcnp3Eu3zVK6rDb2MTm4txN6Yn3gRPA4ePUk0 b2oMPQbuR18ekQVuJ8aEniHOhGyDb7dVgk67k4gDfO5YAPGu1/RMKAQuICaB jitorqc0T3UW9N5nmmMroNWsfPi6+Hz9NecRhcC1x6r9vjR4oHcS+nqNdVdW G5iPMz/J8RLk+EPrQGRkajFwMLKEbuhiuQIT4POgY/Dl8JfgLWRituXilMbg dfh8fCGwOXp1iuacUx06sUlrbi9aVCURD/zKMnDAvjP+BnbwD23C5p3lWNvN WcQaltp2rK1EvOp/KnGOyF9WFX362dY8adsODnhU6xpYiRjPVp8rZ7pctNqu +iLjXOroOLAJGAI7Uta4KxsD0+83RuB7l9qn7mk7/pVtObTGDjOWOEaL7Rr7 n2O7UNZ8JT3PN0TMo20l7CK88ZhlChtHHdvHw7vr7f8ie+ixbhp3l8YndfH9 LV5Dk/n3bNu1Gwuh58F5YIILkrA/2CFsVmt91LFH+HF7bM92GQMwhpjtXp/l D/bT8NEuzmL+iVmsd6HX/7n3Q/2A1vjLxtBt6ITdjsmMKoYuJ2ZDnI0SfDWm GPoe2zGgIUrwbX0WuhG7cXZDxNrAvsSE9jku1E17nKax25PA12cWQzdN1Zg1 jYHlp2bhf07PQk9zDmDIkjEcstZsWkLD0zR2kcbuEg2mV0Lnom9PV71zJXQ6 uLTZtAfn4neBdTs2hq1BhyOj7S2n+BDEINDv2HNkFX6t2DYR51yMf12MWFz/ LHzAO1UenkV8hjjNBvsIYAz49LhK8Cr+9ybbuE/SwPNvpjH3Jq/npFyspY+x JTYH2Vll3HrQv9GYF7SGASo/t6+HzwdWSI0l6vXNUY0ht8y/wetHhy0phu/9 un1wfHF4D/pA27rG+A0fwn+L3V7rubt6jdANPwufrIPX3D4Lv+D9NM4NXMq4 FZZj+iGP6ENksjoN23NcEu/AMsxDHJ414zOeWxP4HmwPtu1SCdoQ2+50KDeh 9g6NMQa/Z6z9IHTiM7a54MNfNYQenGm/Gx36mWUE/bPTOBYs+pQxODr5qDTq T6jcnIQtbUlCJmsbg1bgFuJHYD7a6tx+n2MOxB6mORZEDIbcSLtK+BHE79DR 5ETAPs8b/4BnnzOmhS/ZI3zCPqlDH8qObm8pRp6Ac5lnvxH5bLafAU/2a4iY IrLN2bLO58zjHU1DcBIxB2wJPI6MEuuYjl/rHAG8Mc+2jzlqPc/f1f+L2pD5 /ap/WRu4rZIFTkqy0D1dK6F/kHV0L/F8SnQxGIyYHTksMEU353MOnlFN+ELw E/4m+mlXLrDqcusf9N8E61j2stT6hLmpMz92Ef0Ehgc7nFAJW4XcHF8J2QEL LDcm72u9xDrJYXFe2FNifJwnv7HPLxg3Y69bPJb1UAcPL3cf2j8yj3LG+KD4 ovja4M5njY2JZyATnCn0hc7oMfZRts06wjoM/YH9LpmGYGziksjALY49ghUY u8x0wA9e5jMnBjPHumZ1JXzZlyphh2+3DJNT5Fx2JKFv0CHoBPAauSiwHDFp YqDwdXXZcbZc2I6Bth/4Mf0bwi/A/yDGh9/fqjXurQvZIkZHPJMYJ7EC+mN3 8GOYZ679mgENP843wH3AhuuM+Yi9bXB+kZwr3yKWyPv1bocOxAWgCbYXG4z8 4nf8UBc8jE3sZ7t4u/O3LxnPp451wzNnmw/JW7Z1O7aRdvQVZ8j+OEfyveR9 yREzL/YXH6q+FL4Zvs2/pYFzib+SizjL8/BN5sePeNXt5HfakVPQM7UqfLfM fcCTtIMpyePQjzg282TeCxicuAq4qJZ8XCnWBJ2gF+sY5hws8+Mr3VYKPwUf qMX6B/uw3PXhacTTC+KZC9Lwd4g944+jr/AlGPeC68s8z3DzPb/RX9/XxVnA S301z/NgiUro1SmliLHD48TZyV/Dm0tsr4nLvuU4FG2L3c44xiPDU7KI7ZJD Q09P85wt1vmvJPF+jXkG2Z/qsbS97Vz2JPsb4EPaV7v/ao+lD77RWreTe19i PDfFcXx4gxzFcsffWA+5BGLtxPWRiz3GI+gHbGe9bWxv6wHwPPqKPP8q43vu AnBXgPsA3A3AH5hrfwAsCSbGBoJ3wblgSOroImIGl1hmF6SRd3woDf/+EscT sLHYWmwWsQ/yKehYYs7UsWvEEI5wLm+ifR3asRnYDmzKRY5R8C349HDzLf4R Yx5wPOE617GZEz0PcYgLzcP4BsyFP0Ks8SLPiYzRD/sxQOc6THt5LA3dO8Y6 c4t46wJiu94jMoSewX72sy3ILPu8Y0/tnS9D744x3fDniG3hh0Ij9sW6Rlk/ 06dLbfSBbnybdnDLYtP0AeOBq4xhrjSeoT/fhaaHcjJHmrbg9vZu310d9IW2 0Hi669xRIV7Gb+6VcH+FuyX4kug8MEBebVWl4Cnk73vrQ2iHrsD+YnN4D02K 4KtS8BPxobnWacSr663TyPPD84sdf0L3Qxt8urtd5/4Luho9i75Fl9FvgDHw 15XIu8Lb5C/BGjO95k+MycBj5JEOt67jNzgN3qQca57BDhOjwRbDq9f6vK42 rqMPd2+IE/ENzmucZWRXGnGWLWnkOcl7kuuENheYD4lzTvCZImvwZ5Nt/3if I/hzvPuMNw6lnW/mTf/T04jlP+BcE34x+hQsBiYDq3OW2C/Od7/Pa4bb9rod XTDS+oH87yj/5hllfIgd3mdbDM+A7aaqfmw5+Ar+OrocdoIxx6Xh3/2LysFp 3AUZonJbEryHL3heGvGs89OY72vPyfzYQdZOG+8Yc77vT03WvoaWg7fQWcPL tnHk4MqBG+DjBbZzxEn43er1rxR/vtYY/hf8yBycA7lp9gGm2FcfY7D7+FPE YME4fP87rxN/4aAPK5qPk72YpDWMzUK3EM9Fz0C3Vq8Z3HVTKXK+6G3oSa6W /DC2AxvS6u+jW8ifbHa+9ZI0cAv+MXdliLnD15PF90PtO8/j/lcp3tXZ38IW YP8WGUs2l8NG8xu/aaVjXOCR13x3gtjJG45Rv+46OZqT0qBDnzTiMK+7fUw5 cmrERLFJ5BvQT6PU/ttS/Gbf7B/MCR2xt/iQxBCJObya/Pi9sc77IOPo2snl 0K38BpchA2Az4l03e058hBtKgUdvK4eMPGRacqbgTPKbr/j+xnLvF6wETrjF 58JdjxW+79HD/bs7L7rCYxm30rQCX77qO0UT/A48j+7lTgA8uM84lrNe7vsG rPcBy+9G0WCy6v+q/XROAuPgn4Fz8LNm1Af2xIdrdiwAPLnGsWNihtgm4obI GfeKiG89nkY7tuth53SOyuIOzLnOkU13vGWAyvlptD9ILiWJeYemYQ+HOCc4 2HX0TB/HtIlrgutn2B/EL2Td2A3OHh4gVzK5FLkT6j9UYj3kmvJJ+NT41uiw N43N4AN+E3u5tRRxcLAlPMI6eH+gEnkW8i3Y3VbLDngQeuIHzfB6WBt26GCs LB+xBnDS+OTHdc90/AIsxVjyC9O8F9Yy2HsnXoXsIXfEYO8sRQwB35zYEf44 d9k2O3bMnbsFjiuVs8gRcheSOzjwMLyMD0iJ/cH3usu++vY0/LoTkljXYq+t q9eJjJMfABviK3LPBVm43n2fd398MHQM/mkv30mhbZDv/uBXs1bawFDfVyL+ RV6L2DfvaOduEftl3xNsp7Bd7ZLwa8lTzShFbAWacGasj7URa6Gdew7rnVcB 4yx0fBX8g/86yPEf8pXEgKAndhh7jP0d53w4cW/uIc53To65Z3h++Iw21obO RF8uMYa60jiKu5+bnF8BGxP7nmUfHjzJfsE76JP/rApbg8+Dv4P9wQ7dURX4 eagxNHZqsLEUJb/R/xs8Fp3wpuN+DVnYruGek/cH6/YVyFngO2BPTqwNm4I9 Gew5rzZNwNVdnePAp1jl72JD3/VY9C1ld88D/h/ie8L4erTTl/ut3CEjboYP 3d8+9QdpxJ1/lgUvwNuTLDfNvj9ADJJ7q8Rdu9VHnXzAK9ar6NJ3fWcSrIhe R7+/ZEyOb48uHeq1QVtyd08778BDPIZYGXdsuceG3ND2tO+vEuNlPS+aJt2c 9znOd12o3+z8xZlZ2NnE92qGOBfD2JHlsGHoMObMnKNJfTcHu/yG7zbVaJ7R ZdvCYtxXHe07q/ASfiFYHbsIX8KTzJP5W1Ptt9IP2o933BJbjk1H/rgnxh0P 8pyHzpuz/v81EbtPQ7+fkQbfFowV4fcu3jtl53+gSWfzGGUX32/DhoJx4Xnu CI/0PWHiucR1O2i/f0giv/J0Emd4u89xnevYcO5RdvJ9bNomG7sz923G0Kv9 LbA0cnabvwttmnyO3KM4eGc771yu68gS+I7c9CHfFSw9xHelOCdyIonzGuA6 sC9yge91kf0veP9E8z848FhjQTA8v8ERxSziYV+SG3duD92cs78Brk6z4Hfy YLVZxM2InzEf8+APnuCxdyaBl8HN3Ldsm8WevlX/85LAE9dnceZF3+3BX8eP aqoOWSTvS06EeyLcVcOOHplFXpj88JpK5DYa1fbTLGJ33C3C52JO7gTgx1U7 LtdsP63JPt+Xjv2C8Y/1+kelcfdxQhZ2n7HgE+7AkqMl1/KdY7/gZHyKo+1X 4KPxe6T9hU7eO/oA2qOj0EXU0Q+cy3vG0pRbXece0FbniPGt3nN/6AXdzk9C 9+yyLjrZdgRfj3uC8M9ltpvof2wn57/NayBv8KTtDuOe9Fhi4k/4rvv7lfBP RmehI9/3/SX0yTteD/y13Wtmj5vdDl9uMbb/UxK55JeT+E0fePUx5+mQx3GW X3zAIUnkvv87ifhxF8eQ+a9GUznsKnfq55bD7qFzt1mvbvM9K+q8x2dAx0x0 rnB0Gt/f4nUyHz4D/gJx73d8p2uk9SI6AXlALkpZ2HPsPbaenOduxxaIHdY5 frhU2OniStgH+I+7KeAxbGfRsQLaerqdmBg5Tu6h0cY7YgPECoiLEr/t4f7I MvGGGs8Db8Lf8Cf2hFgXNqXO8UzkiD31dfxnmG3vAsdPKNEtvD/Zff4iun+s 9o+S8Cvmuw/zIc+p11D0t7D7+ALESYnRMxc0RG8Rx5pn+TrC8RnwQDvHuND1 DY6TsPay11y0HYB+xGjQQeifovNo5NPQqbxDlx6Wht/VLo2cPjYC/I98M3am YwL7HOtGd5IHYJ3kBL5xPJx+1NEJfJs1cBYH7x6W4vcd9p/RsXyHuwP4OeiV Oq+/0fGfedY37Av9TRvzoOv2en/wAHeZmIccHLIC/bl7UW/cjD0FW2MzkdmH 7CuyXmzpn41XiX/sd8wKv2Sy/RHosN+xEfRKD/MSe/3a+wW7vue4Eefd2fkF 8rncqybvBu6eZD+UdfdwzIfc3DavDcz6rucZbbyw3fgUOw/mRK7xUfkGsV38 E/AVPIO88318bu68Mi+6tdbyhb9TsE4mn5x4bXcaG/NtMMVs44oP/sH/YC3s hfXMtW5gz+CIKmPjfpYF4kXIWbVls8l6Av2DT00JtsefWec6/0Ei7nBtFnHs LcZFxCRutX93s+MkjIGO3JPDN5luPxhf7J1K3P3kPxD/B8D1NvI= "]], PolygonBox[CompressedData[" 1:eJwtlndsllUUxi/92s8C5XsHBQERg0RQGUqAlqYFpIwgw0IhaCNaBBRNZcUY NUYjoqioqYMwFC0YTTBxkoKJyCwKEctUIugfBogGBbRM48Lfk4c/TvKcde95 zz3j7T5jXvXcvBBCA5QPXciFUAuVXxFCXSaE7XEILa2Qg5vAlWkIJa1D6A6N Bp+MQvikIIR3C0PIwGeTELZiWwQVgC+gX4/+A/QR+hFQecZnTAG/zJm74Wej 34LtdPg94BPZEI4mJuFmZLXo9sL3w/5++LPgTcjOw38PNYBvRdYfPJSPusR5 D8aOZRDfthP+KHQW/hi0Ft0I7EuJbzb6SvBf6AfiO4j4JhPfRfgN6BuhCvR9 4eeTnzrs15KjBmTVxLcD/W369sixreP8A+Du0Crs69uEcIQErwYPR3Yc/hjU nhjque8sPmXc9wX8uYy/Sd/WgG1R5Lvu4s4ziXPVB/0ocBPnPYA+bkd+of6p c3UM2++QT+CMOdg+DE1F1w9ZW2gWNuX6TvQ9M36DpZyXQbcj57Pu5t23oT+Z cQ1sBc+HhuNXUxTC45z3Iz4H+f71nDcY3RboIvY74WvAq9A/SixV2LwFXsPZ ldyxPOscjEpdS+XQY+CpkXOk3NzIHSORTSt0zah2SjjjwwLLPsO2K/xI4pnM eavB1yO7hH8z/DLoNWJ4mvtL8H8dfACb95DPwf8ieBk0Lusa6AI+hf+n4I+h wYnfUG85HpsV8MVQkucYSsH5qWs/H5svE7+J3qYMm3/wzXDnLmx3QpPQxal7 oRM2u+CHwsd8exUxJuD3Y9emekC9MD3nN9FbVFADe/BZRSyN6Etj92peZJ16 dgOy0/if4rzDyA9CjRnXqGp1TeJclSIbhm1n9MM4Yyx8LfJqYhhIPK+2DWEA +hdU38E9sATcClknfB7Bpyu29fDN+NYRz3bkVYl7QW+it3kWm3no9iG7HX5K 4lyoJiYn9pFvE7Lx8O8oh/huRHYNvis4/9uMe1a9OyT1WXuhqfoe9EcynjkL wU+h74t/CfG9CO6JT03OtTDrck2qNo/D/4R/FpuXwD3wKQB/jn0lsdUj+w19 e/jSnHtFc6cX/jdlXSNl+j740mDZk/C9sH8+515Vjd8QORbFpJqckPhbh8GP BS/mzjbkuxnZQvAZ9T9zYjfUGdwl9myTTLolnNU7cr2obq5TvvC9l7M/ArfE fnvJeia2XZdzL8mnWDnNesa1B/+OzRtZv/FmbA9Fnh2N6k90NYlzrR66Azw3 da9qpoznrjcT9/YkaAh8u9S50/cWpZ6Zmp3aAdoFTZrJha5J1aZ6UL2oHqkG /xd5dt+Mfgz8/sS9K58LiWekZuUh5sMM+CPcuYjctEBjwMXaN3xvSZFn9DnV CPHUgreh6wadz3m3qebVQ+ol1fAr4IGxZ796QL2gmabZphmxXLsIqi10zXwF npi4l1Szedguhq7MuCZUGzn1e8ayvvD7uH9a8MydK9vUse3nvE6qhdS1+DV8 29Q7S7tLd/6q3sXniYxrfj18l9S+g/DpDO6TurZl0zv1jNasHgC/QL2U+G01 0w/CV8TW3ck9z2E7WjsOvoLz/r2cS+lko5zOTLxLtLOK8e2YePZpJnZIVJSu be3gcYlrUrWpnVaFbkHq2aIcKBeasZq1+ofQv8RM7dzWftPD2N8SexZoZmt2 z0n99kvR/xD7zfX2mhErwUdj985D2NRh+3bi2tTO0u7SrizLeRdrZ/6M7ES+ d9Zm8LWpa08ztEfqfx79+8jmF/BEfJ+JPCu/Iea/I8/6DcR4FfZlsbF2onaj Zrxm/T3IToI3Rsaqid3gq1PnWjXaDfwHNvcVesZr1u+P/G8iWQv8ysS7SG+k t1qUenZoxv4J3yF1LainO4I3XZ4V6vnT6Funri3NuELw/1MkUmA= "]], PolygonBox[{{4749, 3970, 1484, 2314, 4668}, {4636, 3703, 3861, 814, 4154}, {4626, 3700, 3882, 2320, 4670}}]}]}, {RGBColor[0.7179833325324133, 0.5560324810816788, 0.39700021346337366`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmgmQVeWZhk9v997ue2/fc66CoLKYCEZxjCwWEmsCRCWKgNFURVC2iKKI gIgaJSCCW4SJMe5J1WS0MoFmETWJmZoMOwiYRFzjDCoIjaggNDRMVVRU5nt4 X8up6lPn7+/+67e83/KfU66edvnU2iRJXq5LkvhLhsfTKwgj4j02lyQXB/Ga aB+I9/V1+v87WZIMC9r98d5cSJJp0e9ufismyduNSTKzJkm+W02S5fFbNd5f xv/74+kZYzbVJ8lTDUmyJ9a4M95/j/5TgvZJjG+J/9uDPj/GLGlOkhnxXhtr 3BXzz472gph/apPGr4n2WzH2xhj7fiVJHoz5/zWNeYK+PfrsCvrheGZ431fG MyqeUo3OAO3kaA+L/rtjnjkx56BykkwK+i+D3iPm+ifWjfUb4/1azDkt+nwY 9E+jz3reMfa9oO+OddbkdAb2Py/eK+IpR7uFdzydo/1mo84Lfw7E0xZPayL6 W+YDvPptrLM33s/Efg6VkmRnjH0yaIejPbteD/R7a7XGrJh/X41oh92/S+xt Q+ytzBlDDu1BH1Kjcx6M9sx6PQeifU+txrZ7zqHRvy3aF9bod/qvqlW7zf0X hHzODL5njTov+zhaozVfjOeWmLu2TmdB7jfFe329+Avt331G3r9ze2JO/zNu e/B9e/x/Wsj9e9H+z6CfH+8L41kR7UPx7hZn3BhrVWLs2fH/zBh3WcjlQIP2 MCbek2OO1jrxiLl/6/k755OkUzz3oevxXBRPs2WCbDrHnpOYf1ucrzHGDCzp fST6TY+5b4rnpThPr6ps4Mx4d2oWbQlyCdmV4lka7bYYV4hnTq30fnP0WQzP U/1+YrznxPxHm7RGz0y62x70GoyzVvZTE3u5Nfr8pV72SB/0+Eex7qfN4l9n z8nc10Xfa+NZF/2ujvc18aytlywmNkkez8S44SHHX8VZJ5ZkOx1ingXRpzn2 /7foc1WdZD479nB6tJ+Pp7/PSJ9Xo/1g0C6IZ06NxpR99lfKatPnljrx5Moa 6Tt8Qecvir2Ojt/ejnd7pvlfq0gW2Cw2Qv83be8z4nkixu6IOWfGvg81fm0f vNH/24Pe2qh+Jc/TCUwL+oQ44/ygDy3KHu/0WTkz+0TfsRN0fkO9+m6J9oCS +q6s1XxXem/358Uj+DO+KP1grl/5XJxvXFE0eAOv/lEvfk2uSqatqeR7W5P6 YEtgwV7LHRr8XED/kNld8b60rD1wvudDZs/Fsy+Rbo+2LMbGmndYhmtCT/8j 3ucHfUlZ9swZW0rCC/piO9jNvKAvKonG2I9jDy8WhRmXFNXeG7SD8WwsCpOw ufVF2f6yaG+I9m3R3tUoOnMvjnUbYv8tZeHS8HheqBHuDHP7JzGmvll76xJj To7nlFqNgX53tDvEnr4R735x3nJBY8G3Dxq17kH0Idqbot3eIN3fHe1C8GhH 0NcVpUc3Bv3DovxSOZ5SvfBgaqzzVOhg35j/jqLOeCDGbYvx78YzLPosi/3k o9/SeG9q0lp3eu8N3j+/5ZqFM7zpj37Oqdf/tJsKwlzwthjvSwqi3WMsRq+Y /7iQx7gG4R5tsK8l+oyPNR6KPg+FDp2BbaaSZ7UkPP5Z6MPwWs3fIdod4/lD jeSCTG6tl56j44tqhVP0Q096x+//nFNccGU856L7ifzhSSX5ROTOWujNuLL2 M6pGeniidRHcnFurdcFdfkM/4SU0dHioz8552wIHJkR7ZUVzdDZW07+D94/9 dPI88OVE9znBZ+Qc4O4JbkOjfcRyYSw6g/6MMP5j6xOMkyPgW17+q1Ot2ujb 4Djr+Aada0BeuAamrYs9P0y8FPzvHvz/pFH9FjXIR+Kfugb9o0bZFXrJvtkz skTG6M/9jq/+FmdfXJK8mYe50Tt8PWPpz/h/S7WHlfF+OMZeEDx6KNPezs0r BhoZePFO0LcF/cZ4d2uQTwG77svL3olzkCe+6eyi/MQ0P7Qn2c+zPlja5riO NnjY5vbR2Pea6H9xrNW7KF/D+M8r8t34cPxam/0sunnAsRC2g/1j44PLWpt1 f2y9Qt/X5yUbYqolMXd9SXJ+FWwzj64P+gdF6TU4MbYg2THuUo9dGn3HB71j vFfH2VflFAewl+HWh48z9flzRTYJnX0ur5N+dnPsxZroMP4NWYDV58W+vpVX LAqu7y0Kxx9vUuxI3Hh99LmupPZjTYpf6d+9Qfvs5lgZmRyzqWbFGS/HOpOj fwL+Rv+x8f+YsuwXO14Yz8jof3P02RNzNiHbaH9UlJyHxrnWxtzDM8UJRwuK B1hvhHUeX7GtXv4OXUQnV8S7R9Cfjadv0PtE31PrhAn4iP0xz+3E+HntkVjo c2LUemH8lrLo2Av6/KrlBR622xbA5p8Yn4mV2C/nB7/hERgO/qH/2M1LddoT OQt2y++cn7OCU4zfH3vb16h9nFkrudEf37jfWItf2Bft6fWSHXHQX2slo47R fjnaPaN9Q5P+755p/4+G3fUI+mjHTv8V5+hVJ7zEJ7BPzvZEJvq5qbB3Z6N8 JXkS+tS1TjEncSCihVevOHYixmlvFJ/QgS2mfxHrfR5PvwbtnTPAt5qYpzae YtDfjt+35qQP98QeNsU6D6TiAzwYFE+XOtHJ/ZDn5nj6mE8vmVcLUtHnx/uH VdE/q8ge1xkrwcbFxscung/fQTwDdoAP/xv7/06z4nB8KzHbbPtDznef9aWt IJ0hpkZ/0aWjsXZTjDs11XrgMrr6dF46Rx9iEsb+NMbtDNqOvGwH2mzr4dCc 4kziWXza6dbhFc4V2OuWTP70YLzfaxRvpzu2fcXxPXEwfSYmiouIG4mRtkff d92f3GGO8wdktN30PzdIV9ATZD7HOAZG8ttViXDgrJzwinjwqDGWuchNbq4X Bn9pelPIY2izYqZvx7n75hQ7oR/Y+7WJ8iriGLDybK/FHojzsAds4aOK/Fbv TNjZybEWPhO/i988qar9H6kIq0YYrzg3e0OHR8Rvy2M/vy7KzmZ6/lcrwpDp MUfXTHvplin+er1BOIzNHtPhRHnbl64h4EePOjbmfP18xm0x50lBu6Iq/7PK 5/2f0JWbYt5zg35y9Jkd+3mjoBgWzCKOZZ4+OdkCPhJf2SP6L4ozLYxnY/zf FPPdVZJvgpfrPD/4Cqajo328LjWTfzimhF83FLQn+l+SaWySKhb4sFF8vyjo qzlnRXOs9jyfBv33Mfcb8Z4bY05D31PtCT+KD70h/l9EPhHveZl4cka0N1VU g7gx2sMy6em6oD1R1HkHx/8LCzo/Z5+SU3xAznlmjDk+xt6dSc/QXWI4/AI+ gfiQuBh7IzamzrGhTnpyJOboG/u/ItFZ+vjsxFZXO77akaluNCoVj2mzLvKd ZxmPKSomw49PdD6LnyK+Jpcgxk4zYU0l3tVM+PV6qvVZ90eJYgjG4R8Zt8Rj p+dk86xHDYSaS7sxflKTfCu+cYPHYqeLjc/4A34nJplfVF1qk+NozrfQ+HxO 0EcmyheIO7Ed2qxF/M96y0wnP1hmOjqG3SKzc9yGn+Rt7J9azLM5xehgLHZ8 tnGDvVArw39OKqlOhc+a0qQ4ADr56HTXMYgjyIXYPzkU+RNx2EmpfODOVDnX Uudd+NhdPiP8uc51hqmp7Br7BrdaXPvam6mNPpYKynPuzauOcrP3MK8kv4XP Yn3sDVtD5tdZ7uABuECf3j7vMOMSvMV3TLbsXrTsiAWR36xMNoKt8Ptkyxe+ 3OA2NrzbNZyuDepPDgh/JntO2pssd2Lzxc7L4PcU8xb+POY65P5Y99H4/6VM udYB59fUMIlfqYNs9LzMSU0E2hzHsZwB3iKPg+YJORk6j9wXlpSrg9/k2eRj rAGtxTn8jY4VX3QsSk2BOhLx/0KPrXcNCh9EDk0Oz3rkEP3zqjVh158Z5/Cr 7+VVRyVew0f+MdpzS5IlMlpvGSxyvA9eHatlFdUHGeNHtzgmnJ8XxhIzNlgf 6EPfuaWvMXiu+7T47GMcc+HL8WXkvy2mcwbOwthTGuRTwdClTaLf5ni7m+lz vffPXX9AD9CB1ky1m/GpMADZUY96IK/aBHLBDzIXOk/d8WHnB9gquEMOzrvF beS8xDxPMsU2xDjwiP3g7053vW2U4wQcIv4fW6ixf+ScyBG9ysLGzmtWXoMf pgPDBmXCj59nqo8hsz9aFvCCeYgbuvi81L9p41vPyus3/MV3M2Hqgkz28rhr 4NTGpjhfaHZth9x6jrEEvKVOgH5SlyAPx6/gU7Y5XuJ/+AufF6eqZRBfEYux X+p5M+yLZnjsG/aPp1RVy3+/Uet9n3wuJzx8NFP7HOPTxTnlL+O8FrIlVsXf DTKP4NUrFekhegKPqEMTOyITdKyr62ZV19CQAzTa1N7vcN3oTzXKP9qcg5BT THJe8buC/Cb+k5oBtQNq2q3OEY7VZ+qEv/hW/DH77IXPLwiT+e008ra8MJna KOPQhwOu0xEPc+7v++wLLMctFfld/D5690LQp0b7h6l0EDp28XzQb6DO6BrC FNPx29McM0xxzEDs0JDJ3nKZYlF0iJgDTG0yrhJj4oPnOS/Cht/NdKaO9jWs M9Vr3RIyfp1cvqo1p3hdYgj2sTqVrXwvJ3v5BbFltB90XQQ6vphceXRZdz1g OTk22Is/GWKdGWJe0YZfQ1wHIz8lFwDvnitoXubsm1e7d6389fmmT0iFA9SH iEGJRaup4g74Sb5BHNjVOnNrqhjrtlRybylIvtgYtQJ8E1i9xLFIsao+TVXV s9/0XRI5Ef2JU3hf7zaxw2LHD+RzzxSU61H75w5gl/Pfic6B0cFd1kPiiEmu V2Bn2Nss1135/zbXh/eaTsxPjE3cv8ex7u0e+4HtFBrnL7te/VHj13n5HvfH H33g+cGT3R5LXkIeCU5Sn7/KNfo25/s/9fx7PCd3lPS5yTgFn/Cz7Pdjr0We 2Oax3E1x/0iuwV0XuXpX8wyfDt/wWfgKatfcYXI/yD0geTm6SPz2mXP0a527 gXPgH2thm+Sl+Bywgbk6uk5JnfOvoTePxfi/ZPL7j9n3c75jsVCisfuNLdRK BroGiw6io+gh2PVVvnuc64rELci0p7HoOft28o5Hcjoj8RXn5H98KzbyiOnU zdqdg5DHH3KNglrFIePeu657DEhVD6EuT51zc4zd5PGHXd+Azj0s++ccYGE3 4yH62cM6yT0fecIs8qBM2Lkn3usz+d3LU9lVq/3vswXVK6hn7EhVq5mE3aSq H7dWhAdbfYfCWTgHcTg8eMSy5p4FXwNuEstsNP7gl7APcHef69nk4/+SKQ/p lEmmHVyL5tyMhW/U0am3UuscZV7DZ+SA3qAz/N7bNVlyypq8cmX2wp7Ie9/P RH+rovrEFtcoqA1ucT0QGRNrvmwfcVlZPvQHZbUvqJEfIeZ/0PXwtc5pwBPG cdcwwpg43HlubV77Il/mbAdrld8scz6FbVJLvMn5MPV28h1kftg6Qy4DxqJf xJXoInpILYDaLPVY9si+2Sf8ec6yQGcG+/7+OfMEOv6GOhc+HbvcbH3r4fol 57grYqVTK/I17ZYNcqGO8s2K4h5om30u1hlk/STP2mz/Qa1poH0KdrHGa1FX O961MOrY9B3le+ZVXov3are3ev/oIToxuPy1TQ/y/HxrwPzwZo3H0l5uHefM g1PVVaiv/L0iOfWuygeCS2AC9yHUp8Ca11L5rk8qksOz9nfYX3ffQYB9yz0/ 9aqBrlkN9x0c8R61JWpM1Ae4n7zUeoX80QNwd1bw9sJm+XL8JnVk9sV+GU9N +Jux15Xx+zeqwkHmwa5OdW1ylDHqbNevTq1KZ/kehPW572QP+K9W5ybUKcuO o7pXZTfUjfAJ+AZ8R8+q9gH/qMGMtR5eXpXe9Av68kz3Kj0yxQhDHFORf+1y XRdMaLXfZA7Owrcn/RzDnFPVugPsj7grwO9ie1/ZJOcmTyc/pt4LD35gfpL/ Puvzoz/oEzaCn8H34Hd4f+E4pL990kjXE76wT+pnnLnCfuqI29RHz3DuAYYd sW+YYZxjj43Bu2uaVSNEZ7cai3i/7Tay5N4O2XFHf8jfsYCF71pPiDXOc+wB bZvp5NaDnV9f4ntS7mHwueRd5Fys847XoqaAzsGfE12P5p4Onl1qfnK/f8Df wBAvMx5sJJ8dZ785yfHSbuMV2AZmsWaloDtV6v7U//tUdbczzvc72EKz77KR G/c1yI53Z7e5A+F/YjlwurPvdKh3jXXNq3MmOQ2O9xup8P7NaG+t6PuPP/m7 gvH+tqDNdW9igL6pdBWdpZ4KXoAPhapyhsaq4r+hvvsY7hr+sfv0OrXJYfHh fGOBH4eX8BRZUKfK+e4bfB/mWv3WVDnMhKru38b4Do751nvOEW6zJvZxu/PQ 6TFfpaKYjlzvdud7nexDB2bCwJ2u51PD7GosAvPxGWAmctzpNvd1Tb5bp05B H2z5Pd8L0Ie+YCpt5L/DNQ30ulCRbv93qm/bro5zPVnU2uTCyLliWRetm62m g4XYY5eYo7minAcfgh/Cj1A7vcPfTvCe6buQmabDc3Su7G8b0Llmz4meF70W 97cl19PAl2N7T/R7yffp6/3d2rpUtYG0ovzqhEw4cl6mmmq9v81oqCovzVWV +za49gLmnetaEHUD6OTFYDcYDiYfw+e8fAnvvm5zLzrA99H9fTdNzQefTX0I GUAbYPr17sd5jvqel3znKdej6FOxrcEb7od/bPulvk7NndiJ2GWs70aJXZAx c07z3SD++8RMcfHjmb4FKvvbJ/K5vvZNYxxLjTS+jXabejpY+4tUa4yxj95j f09eOdr3s/TnN/5H38ATsOwF32V82zkyvuA05/LUlhe4vgzuznP8w3cr8/3t CjWwha537fE9LPnOmlS2vzZVXesuy3G77zrJQ/DhxAH48cvsX8D2Xo6biJFO T3VPkK/KfxPDgs9gJxiK34X/4/wtCva7zjVBvqP5jb+l2WU/x7k437cca/b0 eZlnof+HV/jktUXZ3rEcwXE5OdK9zrlWV5Sj/zxVjQEeUrO62XcyYDA85bfB rnGd5T7zfad5XCb/UrS9UIva7noU9oVtwfP+vmfkjC+7ZkCbu6RL/t/3UcN8 Fwi/59tPkYM/7TtKsP4p6/A79pWcHdrTnh95Up9F3uS7zElODf782tgHb+AR 8QO28IB1CdzAX4D5fDtHrfmrWiNt6palkOVicCremb/X5bvdoZ6T71ThG1gH xkIb6hgJjGAtcJWaw1D3H2Y+zDI+P+l9rvQ3KitSfWv4pPHzuKpys+Ormu9n nvMa3/OTexCPgh+/xB82K14nVqfew70RWLoq1fsDcM79iWcvTYU3xGu/z/Q9 6B8y3X8Tl2fclTXL9+B3psX75mbtDb7fZ7mzziKv1d/yOdl5I/njk6l8zTGM rhHuMhZdIjeqcX5EHrHI94k8zJt4nfvd/ze+c+HuhVgG3QPn/w/Xodyw "]], PolygonBox[CompressedData[" 1:eJwllmtslUUQhrc9PYfTIufb/QCVS6GFtkTqrRSIYlRQDBQLGDBgIkECBpNW WrHWH6ZVUH9o0IIICiZiTMQWkRYQMGqhFI3Q4rWosRAJEhTBKEUlghr1eTM/ Juedb2ZnZ3ffmTmFi2vn1GQ75zYgOciF4FxV2rkDSefuBG9BFqac60CfDs6L nWvB/lHCub7IuUbvXDt4OT57sD+D3Awuw/8K8Kf4tGJvZU1gbeDbQfR8xIOb kNvxn4D/EHAWksx17gj+E/FvJ/4j+NYhs8EvYC8j4amsWQv+nPjzybuc9c+h D0QO4VuExOAVxKjPgPG7gAxA30Lsy7EfxD4IvQ19JPon6G/jOwu/V/pzJ8ge 9jyHrQLZDT6FfMdFvYteD36ANYPJZUGecyfQG9GvQS8kx3PE6fGWi3K+hL6E /S5yvijLuWPoKfTN7D8An49Zewf7j4rsDnr43oh9BfE2c77rsC9GP4qtk9zq wVVIN/nUs381eCL7VeDfRrwa8GfEmsf97OTbJd018h6xbiCfoeB27JXY12H/ Bb0bfStrm9k7TbxqYjSjj2BNAvtp7GezLKdO9H74vInvZGJ0YTsT7CwtyFnw Jr7lIcNZX47Pb9oTfC+4I7I70l2NJ96T2E56O0sWZ7yJ2M97852OfR329ciM lJ3htmCcE/ea0X8i1jT0feD9yH/oU9HfT9qe/6CXEW9b2jiyyttdD4+Mb7rz H/nWp7fCfhrcynvMxj4iYZz4ErwjYTkolwnecpuGvIgeoz+UYxwRVwpju/th 3FkB+GHibUM2EmsK59rFmmXYa5G78X8dGcP3GvTdwb7Jdoj8Slk/k2+dnGUp PpXgrmBvpzPpbGPRFyWNY73oubG95WBy7sU211ts7am9PeeZIM5lW01MAs9D lmLPRm/Dp4HfKvQdwe5iFfaQa3ey2lsuY8FrwHXs9xb2u/B7HPwOa6pTFkOx xGFx+SI+z2KvzBjWtzeQvmCxdMfnwS8F42op+svgimBvqx6lXjUlWO9QD5is 3hCMC4/hf30wDolLW4kxhPyct96mO5yBfSVSnjIOX4Xt38h6nTgkLonz4n4+ kg2+NVivUU3dAh5F/L1p65HqlRnW12SM63nkMJ6Yxfx2IXPxvTq2t3wK/QT+ f0VmUw8aiC3Ft8KkcWCltx4obiqWw7YmWO/bzrdx2HchPfhfBt+OgF9FmuDa Yc67CVzG+j+xNbH+PvRZyH7WHifGcfV3b7YnWNMCLkUGJaxHPx2splXb+rYM 243e3uID9hxG7JHqKehfIAXgIvxzkYVp45RyVK7q8aux/x3ZWtWkanODt70X sH4j+HtvuaunqreKs+KuZk5/9jvgrTZbWH9G3I2tT6p2NTvmYD+ZMM7tDFaT qk31RPXG+bHV4jH0e8Ad3t5CNb8PvDy23qk3K0f/hj2y+vH2yA/E2qsenraZ ptlWHFss3XkROAefgqS9YVJc9tbbxDFxbVxsd7UWWYItTYzx8OXKbLszzRjN GnFqNL4l6NemLKZiD/XGZc3E18CdyMWEcUBcUI7KVW/+NbG3B6tdzWjNas08 1fki4v+s3hgZVs9X77+UsZpULaoH1KnWI1ujudngrbY0AzQLvgrGPd3RKdVb sNmvmTIpWM2odjQTizULvXFZM6UB23n033NsxvYSr1s9PmX/IfRfojjY7JdP CfhBb7NFd6K7edTbLBanxe2Zkc1wzW712EZwfmR7qo40MzU71aO/9fYfRv9l NIOTsXFK3NKd7vf2n0D/DfTmv4Lv9/Z24tiH6BH+f2SsV+oNj3rjsnqwevGY 2GpNNVICHo1/bcZ6v2ZiFOy/kM58GPw/N703pw== "]], PolygonBox[{{4626, 2222, 2321, 3884, 4744}, {4734, 3920, 3708, 2258, 4724}, {4085, 3858, 3699, 2217, 4620}}]}]}, {RGBColor[0.9094498668877016, 0.6436246672192539, 0.3192945873518749], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmguQltV5x99vv93vst/y7ft+qES0w8UlEZOFBceIF65JWdBEMw73VQLG KjZFZ2ywIhdBUTFxqi1pOiajZrjppBEFLdqKXFSQW7zEtoIBFUtkccE0lTTQ ANPnx/+/Y2f2zHv2vM97znOe81z+z3O+fjfeft1tdUmSLMsnSfwlTzUmydPR bqxPkv4NSXJBtOEx3lZQ/8IgnhiEP4pWyCXJwDrRQZPPkqQS499PRcf41TFe 7JEkpWi7Y2x1PFdFG5PTfC3+tjHGKtE669QvR1sZ/UXFJFke/bujX85EX4rn t2K8d/R7xfhDDZp/Q/B8KtYuBQ8n4zm1OUmmRGttSpKLq0kyLfpHG/XdudEG xLovVEUHTVeT+IO3ufH9ozHPzHju6KE9wP95Dfp+gPdViLYCnnOasyURH0WP TyiJZlK8/zjGh0R/eYznq1prQ/QPx7or2Xs823qIZkednm2mPxJzF6LNi34p 5vlzziP4GxTvO6JNjPl/meps7orn8NjTldF+XU6SUTG2L9rIaAtjjVMhg2LM tTHkOD/m2RTPNSHP/fF+dLSxnof5Tgbt5pijIegXNOm7/w0eTsf422X9n4u9 rAgePozxJxt0jpvqtR/GR+f0XGka+ss9fl9R+sC+dvfQ2aMDVzZpzRPWmacs qzvy0o3JOa3RaD050iQaznBtUWd3ebRiveR1VZzLD9Cf2O+ceN4S716u1xkd jH0uimctnvtjX2cVdFb/FPv6VsjwJ5Uk6Rn0v4jWN+hmp+rviHfDg8crOZfg 57wYeyYvmyjEuTdEuyd4eS/GDtaLz3L0V0cbEvxMyWtdvi14Tc768fjm5rz2 +C/1esf4zODtYPBSjP+vDpqritI39O5q9ycFzYGKvkFPsZPu9/Sxl7sy8XBr 7GNLUe8YR67IFz5viHlOB/8bY/3nQ6bros1ukC6j08htWtB8XJG+T4/+f1Z0 Jptj/uPx/EPM/zmyjTmnxPOzVLa+PeQ2I+i/i24F3Y6y9Pt70X8g5ngi+i9G f2K8n9AoGSC/jZbh0or0jLXgcZPHpwTt5Ead6xvB52Db3VlVzYEMT5XEL/x3 VOQ7+P+DougfzunZ5v62HrIx7Gt67KsraKuxj8mxp/kxx9wYnx2y+VOj9PXd GD9SL739s6A7FM8P43kizuO/YnxE7P+cqva9qk7zb43W2kO0rPXzeJ4sSQb0 aa3m55pY59vR1tfLR6w3Ta+q5t0ZdF8LPsr18r08i+5jF89FW4puxfyTorVG GxRyeMHniz3ttv/d5T72eFG8+0PsYWA8nyhqHfjnu+f97eJMdnJRqjHe3dag eXbaZrvnpb8S/xBtatAcjtbZoJiSxjxfjX4Wz+8H70ejvzDWWm56ZJ8V9c1z Qb83p2/xJwsKGmeeL1W0BvPXMsmlZzyfCZpazNGnTu+Yl/iCbb3dKPtaXNQ4 a3FWjLFfbOvHjbIv1vnUPKyzHPAr5wXNquh3xLvLg+6yaOMTrXdJ9Ecm0oUh 5mNeQXTQbMsr1hI/hxQ1/pXoPxx8j4r+W2E7L8a8I6PfD/+RaZ574tk/L5rB Qf8S8iho7O8zxYu/y+S/4AH/w/Pr5meY+2f8W4P2w36fLKrPvoir59TpW84B 2U5rkA/ZbH80qkl7v75B813iOYeGnv0wrz3iO4d5vKVJOo3PXRL8XRrPr4b+ tNVJbvht5rnUfBbj3YR491TQzsgk/yzGXqkIt+BH5tSS5DfhU26MZxbzvxbj r0Y7HDzcGnJfUCec8lq0oTHn3THPq9FfkiqmvRVtVr32u8l7/utM/UVBsyfe vxft9qCZ49hBDFkQrSt04bmg3RLt5aA/1Cw/Dy10Py3JR6Az92bi4XdB89/R vkwMjDlWhR2Pjf+PBM+v239+bkxVdCw71iy9eCtVPJ7lfSXx7MrLz/4s5rki 6EYGr0tT6daD9kVrCqLrndc4c48J+suDfnWD9PJV28hM5myQjXwa/HdajnNC 5j+J8e9Gf2us8XpZtNvj+UZZ/ryuqifxPanqPfPkm3Re4M1KpvUa43kgE7a8 IdV3R4x5NsZab8acv4q2IfpbGsVTj0x7eDvoN1V01viL9ugviOfN9bLhv6iX v94V3+8s63/w4OqqMOETqeL046nwzqZo0/Gb8f7SZsX4l5k/xl+N9s0YWxHv DjcqZr7nuJmm8kFtoXtpk/jcHO2nQXtZfHNZfHuoJL7ghzjBOnPj+UlJsqSP j/ljRZhgaqPiFnHt7KriGfHtXvxUtAMh2rdK+p9+e9jh/dE/JxHmW1IQPmXs AY8vKUpv1uWE4dAf/r8/5h7QrPMdU9Sc82wDubwwxh2Z+n3AxiXNOQl7ivH7 on9TKh7GFrU2c9znedAXdAAcCH7FztFnbAJZYBcdjrnEw67Y+/iQYzmnNdgD ewJLrjBm5v0406A7yB//z1i7x4nN0x2XD+U0/r6f0F0a53K8oNhAjB5d1P7h eX08X4w2N6/YSQxFhuDCH1c0vieVz8H38P5Z04An8XH4t8+aZZ+7UmEefBb6 vc06jT4z3z9UlF+gw+g9Oo/u00dvsBu+JUeD9memv8p+GJ/Gc4txHfbfM9pL YJyS+AMbt+W0N3TjJe+xV6LnevfREzA6Nsh3a/3tvzXqG2jwpZu9Frh7rTEG c7AGNGMtkz054c0tjhfzm7QG84MtkD8+Byy9xmdxluMKfpRcbLvzLnAWeQJn 2l6V7qK3+4qKjV3x7bpMZ3hdKtrZzitGBM3waLMKGuMd2G59Jh+OL2dPFccI 6G8t6B3xbZTjO3H8hH0pvB93TOe8uzEa+zrmvbCnE+4zBqa6yPs95j5Ycrb5 aXMuCPYDq4JjyUNvyYSHDwSf98S++zTLL2+JNiXmuT0v3o57rfYYHxutviR9 x2bwRV+vKafNxXyvRLs76DdkwqTXR7/Djf4E4wHwH9iAXGpyQfkl/EHXO6e1 4YG8hpySOYn9YHawFHgSDMMZDXbet8uY85OiMAvjXdaBM/lUg3QFPQEXHzIu rjhnJAdIMu2FPdW5FkFNoo/zLnDLauMY+nMzjfcPGf4yE8a/sCbs1N++6bhx O2e6xPqKn/yhcRt4ZmJJOdEF0Z7OJKvVmc5usPN34gA2PsNxk1hCHEE+5N7E +LQoXIsPJAak7hN7akXJE5zLOFgXP0pMxZcucP5EjkwevNq5MDqK/YCfwavM 3+mxnh4H8/Y2hq95nLWYO+f5d1jenDOYpaftAn/cbj//rH0+fo+zHVnUORKf 24rCK9jQCNsdMkmNz/l+rP0F/g18wJlDN9p++JTHwQyd+ISi6hXEF3w1sRA5 Mj4uUXyA/+WuN7AfsAd5AesSl8H4YH3GiXFX2X8iP2o01CaIF/cWFUfI66lJ kffxXOw+8y/yuZCPkPd/lHyBgTgX3t9jGnAKeOUv4/27ZfXBLX/jnJHckfrP x/Yh3wn6DyvSfeZgDeZBZu2W+adNqiWBIZg/8/mTj9AHA3O2nD2+FD9zMt49 1qh42+rcE37z5hnfz96piSEL3mGD1zYqR8XHnWhWnvnrVLIfafmD3zl34jt5 DPkMY/3ju/1F+YoL3MdX419+63HGPnAff37Qc/KEBqxM3F1WUfzCr5D/4luw Ob4l94efTvPE+16mwd/0cr5MPDnbmIo4QFzB9/7W68IDPg/f90hO3/A/OeyA kvqPOAd80r6RdddYPw+ZB/rgR2yfM6LG87j3zpzwx7fM97jnp3azzPF9rOMn NrLM2INxfBV+E1/EWp/Y7tjzIffJ15bb1rCJxHYBfsKf4G848zrr/Jay8CiY iZgD5iTuUAOcb9ssl6QfYEjOeYhtnLElHifGYu9d1p/7rEvkGMM9vjRT3NuZ 6QxYC5+J/yJmgZMZO9s8EHvR4Q7HkH3WjYtL2i9yRn/2Wba7jbnB/HOJfyXl StjTA7apd8rKD2e5BvWg61B7Y7yrpPyN+tZS17h4PuQ6FLp9hfN0dGqXaybr qA0WFNufzeT7ns+kU+gvPINFNjvXwC9j12DXFsdVcDb2VyrJ/4wvqY9sjzap 7gkmbMsk0yGZzo785YZ61Wnxm+VEsR95In9kSh/ftcc+C381riLceVdO79tN A5bD3rC1TSXlPLfl5QPwTcjwgUxyaAs/0LsiPosl1auudc1qk/eEr/2Vc3ly enzCQZ/ZsLLwJbjxmyHPb1SdS+eE2T/q9i110nkwJ/VqcOl4n2/RuomOIj90 eYtlQu6+1/n7Gp8PGOOhiP3fjrUGZzpzaG4Dr2eqfzVnitfE/tHGEOyDeFHy HQG1RGJs6jj7g5rw+cKa/CsY6WHnHeQc79ue93hf+K399l2dtt+R9nnICr1B NoeNv6nvEz+ok53REesG+TO50Grqro3Kcbv1fpxpurxvagXExHMrquc0p8rH /jGeA1PFemp7/5EqVvxVTTLlPNCllpL8ID4QXTvt+wXyHPKd36XySdSAOK+h IePfV4U9wMnXWDemOc/913rFK+IWNk4OiD5xpudXNF7J6cypYXbX+alhUOfk PXTUoKjRU28q1pQnzHWOyXeT/e0g91vdeHemDtkkueAz0XN0+J/rVQNCj0+n kuV4y7PkPnxi09ydRFdx1vVh4i3/E18Y+5NpyAOOub6KLFjv54779FmX/P+U a+953+Pgh69JhbnvTHX/cL7PFd7BOKWcakzgtgWZ6lzUdpoy1XPwe7fUSzfR MeIddf0O1/apMeHbPo85hqSaf0emOs84+wp8xjjXXDbah+CXiAltjvvgG3AJ Z8rZ7LENnpvJlv82051Ju/OUyaEjo6rCgCfi3R0x9maz+LretXvuMMD08zLV rq6tyg+S53KuYFJqeqftA7EtfA1+hjrQbteC2p1nsxdiBeM31csedpmGO7S7 SqpDYLfYLz4KXX/bNcNxzqt4d9Br9TbtMNPvdg2K+XkyP2dEjRksDg4nP0Pv Lyt/kf/f5LsgakPgQuyv3v68wTLDhxxOpV/cV6Bfj1nH2uw/4QFeD9sfgEsL vqvqGzLsEW15SfKd6PsXMAk2Di4h32mxvfM/feIsMjrkeE0NFZkg8xbnRtC8 6VjMXjpcP2qtif+CYw18NHgv7b5HYxydLbsmyd0x98vYPD4Tn4qcueOivgBu 4qxZF19KfCUGYP/tqc7w30M+02JsZ0n1CmqWO1y3xN8gf2IutRbGqbewr3d8 1vhd/C8Ynm+3W392uP4J/anQxylV5SYnfTfdL1Xdmlowvgib2e51yQPe9Zx7 XWcmBm3Ax5aFGQfXxPOgmu5uBld0zwItNoVvpHa433ryvVT1waE1zTGirNhN zoVONBpPIrPu+N5aVoz/ke0du+cubpL1gXyRtdHVYaEvj1Wl372jPy/6r8cc vYzrwHfTHY+o7870Hctm47HPHJvYI/sb4zrhVteT0Rf0Bn9Cfk6efiDWOZnJ Ht9vVo2Uuz9iB7o79//FOmIfPvkd1/bxdeTi1N3Ix8n5iOPUNqlhb/O6xFfq ZtTDptQkt8k12c07ngd6+FybEx37BifNcX7P+DbXxmdYB8kBwP9gtC3GftC+ ZnyCvUy0zax2PeGZTGd7vmMfOT7YjxyN+gD30NR+j/h3DNgg8jrS9AXWYxxf wdhRf0udZrjvrxfnlT+DS9HJo8aW/DaCugDrgD8Wm4Y7OnAR9zI8B7pPfjPH OQ74eIbvecF9o1xDnmabI2/tG3sbEXR9fG/8qOusxAZwGPcmzzg2jnCsZD10 i/tf7p7B5NtS8XZJpj2NsEz4nvjIHj/I1CdmTvI9HvrMXfRM88n5EhepJTI/ d+GvRH9U5nu1TLk0sQw7Je8A24BxyCV3+LciRfepVa5xvQL59rOO4w+/XFPN 7is11YKfdkwHU3I/BsZs9R0x8Zk8fZtz9ZuNwckT0ZGtvqfeahr6yAx/OdJ3 Adg38gfjgJ/AOeQxnBFn1dmsnIw6KHJEnm+mqitQX6AWRN65zHVv7AOdR/cv SOWfqauR94BFwNYDUtXiqMnxm4SvFVQrPmbszZnOzzTekgrXLHSO2dEo+VPr POX7ImIKeehC/x6F5wLT/8b5Gj6T/Iv50ZNHMt03DE3lE8Gd1FX4/cs81yfn ex7qe+An/B54EmxCjg12pZZ1oe8suIMd4/PkNybMzzj3rqN89wp272d7IV4N NEYll91uPQEf9fa31NOW+I4DH4l/XeWcF8w0xb7xU9d5nvcdO/ez4KsO35UT E/g9BO/QkTusJ/gP/Ahz3Wk7xUfh798z3Qv27XyLvY60zXbaLvB7Z/KbJtWg Vhong5VWGbczP7XhfbZ57jam+g6RPAPMA/0K3yFzR0d+PMv3ROwNnSNec9dz 2Lq31nk0+TRjnaah5vOGa62vuXaBLy24vgMGgC/stuK60wRjg5aaYt6Amu6r +9ju4BFewWa3Oq4QU8jdwF5gA+p/i1w/nGC/DS7aaN/BneAf46zHVZWjdf8m DBrOjP/P5E0l5T/gbfQKrItuEdOm+jct2EGHfRFY75BzRnDuYOcy4F3+J5/k vmawMTD5favzmkHOc6DZbrkhB36vg//9n1S5DBiIPZJDUKudYcyDnrGXvjXF 7H412Q8+kLyYHJTvyRGn+3dE8Jxzff6Smu4MiQH4f/zEjSXZ29FM/Q3Nmu9i z4lNIvt1rrm1GIsSQ8m1Sq59XWw/jL7B81Tfr3X53vGjVGfD/Qln+yWfL/f0 1Bjmp9LZSdZ76qXEPmyqO1dH5tf6dzjkZeTHfV0HWJWqRrA1VU45yOeCnqDj 4FhqBWBrbJ88BozN/5dn8llXZJLP/b5XpbZNDRwMSX0RvUFnxlelW5zF7HgO qQr3YNN3+m7+Qd/7VzPZM3rE99gceB2eiPPEe/BAT9eGiZXkc+DSBcZid9pX DDB+JP58EPNfF/zPqsm34gMfJZ5n/p1Kpu/4/gw/FdF3/8aLJ/Vu9HGv6yD8 BgKc8ftm8TzF+o9PARPAH/Yy1XiPO6AzsatOfpF18BX8fqLL2G+M+SXm/h/c 8lUp "]], PolygonBox[CompressedData[" 1:eJwtlmdsllUYhk/70fYr0Pd7z8sPFIyAbUGBQsHBspQhw+CIRKQR40ATRQQS lmwZiggONC4gYqJQJ4mCiSQgqCARHChoMCooCQmUIqISIwridef2x5M8+5zz zNNp/JTRk4tDCC8DLYAnYwi1MCpzITwFfhCYDD6wPISGDJ1CCGOTEO4rDaGu LIQS6HPQi6AHQ29Hfx74cmy2gPdE3g7YmQ+hDT4+B9+A7Gp0HkVeg8/dyG6B NyINYSvy8XnrSHcJOleh2xfojvwgvGr8bEWnI7bV0B2BV6An8ID56O/AthVQ jX4HoAh8OzANWQN3PQscDr7z2Mxvk0/5bo3Ox+hm8gE+FN2/gXvR3QJvA7zb wMcUhfA2eCf85+E3ArOgy4DKEmKIzqXIPsVnHWdVwStH1hVem5zvuFhnAYvR 3cv970Z2B3QTuvPhpdC9M8t032eh++DvPe5T05oYoleNfHveOVKujgK3Qi/F fif4Jmyac07uSWxfgN4PvRqd88i7YP8R+BR4h6API9+G7hGgPfgmeBPwNRf5 xuhYDAEaSxyTudFvLwcq0f+NMzpTPzcDX0DvRn5Rzjn9Bfzf1LlQzM6BvwQc AK8h/kew/Rq6jLPLgTPQ/YAXOa8P8n7A0/gYxrl55H8hewJ6MPRm7jNI9Yb9 3FLX4Dbom1LfU/ethf41dSyUk5Pg78BrLvIb3wXvxVkj8XuyZQizufMN0NdA N0F/A6xKzBPel/sMRzYMaIY+AbyKbCj05jLbNEKPgC7T+6EPF1w74yq4I7Hf yplzOPsgMVjPfUaiX4fOPnxP5J6Pwavnrn3QeTi6B9QLb6I/CbwWGADdH3gE +R/Ydik2b2l0j6nXNvL+/tE9qd7UmR+AX6CYoT8I+nHwldG9rxg/A/4G9xmF z+daUX9At9R3UU+qN/cWbKscKBcrgHrw9zlvYPQb9dajnPEgtuvgjUVeBUwH fy26VtRTr4NHdI6XuAfUC6oJ1YZqvApfn6SO1UJgJ/ge9RT2XdH/DHwdvB9z PkNn/ZT67LXIe0DPiD5bM2EqeD66N9Wz6t02ijH4KGK+HNsEehe67YAK8A7A QOR1wMXRPaneFK9jdO1cnjjXqqEIr1uJc6hcDojOhe7cFnxAwTNSs7Ee6Anv euz/Aebz3sHYNJS6RztDV0F3h26Hj/Pg9wNti82bp16I7gXN8AvBH1JNIztF LZ1Ct1d0L6jmj/3fW30LrmX1WH107lQTqo2W0bNQPhZGzzTNNsVkmfod+2sT 1+qCYsdMsVPPrwAvROdGMUg1f1PnbhGwC/xLzp6ad82odvYDQ3LmnQFvj/wt /D9P7c3OeXaPSjz7FPfxxOQH7j2Z8w/IX2rfmkG/Y9sD+Z68Z6Jm47TMtaya Xg5+hXYIftbAmw5+XcE1r1rXmerlNYlzo55+AJ1V5PUsspngDciLgKzMM7k2 8+xewR1u5y7fI5uVd02qNlUzqh3lVLmdmHpXKYfK5bfRu1A2Z8FPw1uW8xt6 Zp7Zmt3qkTu1fzLvQsVMsbsx8Y7WblaeZ6ae7QvxPwP8ktSzWjtuDvpfpa5t zYzTqgP8Necd0+9SzxTNFs1UzVbNXM1ezWjN6iy1b9nIdoL6vaV3yM+pa1S1 2h4I+PpTPlr4TXpbBf4mJZ612uF3wVuZs86H0bHtnbi2FOMrM/tSzpS7fal3 hXo2i5616xPPYs1c7UDtQv0xxqE7CxiT8xmz9T9Af0Tiv8MxdEan3nVLsNmB 7YLMtaGaUe1o1q9OvIs081UDqoVm7JuwnZf6n6Cdo90zKPEfSX8j/Zk0gzSL RmN7CPk9qc/SH0B/AfWoelU7W7v7OHCihXd2Qbsx8+zXH+Ky1Dtau1o7dK3m Veq7yEa2jalrUW8errcl7in1kv5k/wEh90Th "]], PolygonBox[{{4733, 3835, 3652, 955, 4545}}]}]}, {RGBColor[0.9479758787382764, 0.7399396968456909, 0.4387252240886568], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmnuQVdWVxk/3fXX3vZc+tyMqVTHSIEQF0arMXzMqSDdIBseZ2CJ0q5OQ wKQyWhEQaRHjTGWilTI1f0nk3Yg8FGmRpnk0DZKJQU2peWh81Yh082gwOAWY yaA8hPl+rM/Sqj519t1nP9bee61vfWvtbvz+fbf9uDpJkp9mkkR/SXNNkgyU kmRsVZLk9eHBfJKcVvnaNEmGqMGjlSTZXYkydXyf7zapfrerz3f1/cqc+meT 5HqN+Yy+r9Nzkcqd+jZD5ef1rtb3QXqOqv57bjOGeTXOZI3T2pAkOzTPI6p/ T/V9ZcmlcW/Tt/+qRP10te0pJsmv6pLksL61arwjes9Tm9Nq/w/6PUvlqdn4 /oDKW9V+ndoP6PdZtflHfZuj+rLGmq33nRq7pzZJttfGeC/QV/XL2Q99+6bm bUyjH2PQ95jKI1VfkLzbNP5G9X2+NvaJPfo7rfEitbtS5etU/qXq56h8Uut6 VmPerfIzej+n8WapXK/vG/T7+yo3a64P9PsHKt+g9/R81LOf1E13PQ/7mNWY 73o/+c0eM/6kTNRPd9/PNe6lmu+c3ms1V5vqm1RuVHmc6q/Re6jq7tBzo/q2 aq+m6flPjb+8kCTL9HRoTU256DtRbdaoT0Hf12icK/VUVFdQ3UN6rlabYaob pfdVegarb0+93up/Jo29ucr7w/tql4/l49swledJJ5bq7O7Vu7oU57hWz7Pa 62dq40w+1P4/obqs+gxXm3Eqf03lImenuUp6d2XjO/KXra+D9N6rvr9X+4y+ bcrGe4XazCjFGK+q3K02qzXX03rqJPd9qvtI7wHZzm7V3aV+PXpyar9K3/rV /g918XuH1vtn7UmX2l+lNbysPneo/Fp1yHI7tqb6k+r/V9U/pra71eZa1e/P R/tPq8KGXlJ5tr7/OY09YW/u1Tq61Xem6g/o++RsyDda5zaqHDo8Xmu5Qmf3 I7W9Sf1Oq91GtdtRjHGwn7lfnKPev9ZYIzTf19X3frX5pb5PUfvPkFfvuXpv 0rpfqI3fh2riO/UHVb5N5ftVPlcOO8QG60ths7s5P/VbUxu2ukHv5/R8R+Um zbUgF/23qm5LbfRvycR3xtyuNt2q3+z+/bmw92GcPY90pr0StjlP7/v0XK7y j/VuzLud2mzNx+/BKu/ORBsAEVtqdJstmuvFupjj/kqMf7n2/pJcYAL6PFtt FuZi3weVov0uPTurA0vApa2FwMS3NPYs29jsSujj/mzowXDbyQLVf2R9Qpdm asy91udRmut6lf81F7g9gXOsCqxCd9Fb9KrLY04sBq49rPZ/r37frgtdaSqF 3qAz6Og9uZgLPWHsGarfpPLVxfh9Vr87sVnNtVPj9eq5MxvYtT4XmAa2bXAZ P0I9GEjdc65vK0QZrMPO0EdkvqYY8iFTTybWjzzoKViMDo/WvvxCYxyUPd2e ifkfVP3N6jexLtbMeljfStU/Kd1r13w3qM8Ovefp2ZdE3YN6HlB9UhO/KS8v RT269BO9Hy6ET8TmkAm7e6sQ39pVP7wQ+4RMe3R2Z1R+We/l5WhD3wE981XO 6P1QIco3Uqe5FhTCj5zR+Fssc3MxcA0baFX557n4dqgUdb1qc1lt6BJ4fpI9 13Otyms13kE9a/S8WxXy9yWBTZw/+ogMzIvOZGriN+Ul5SgjG5h2l/d2QjH6 8rtZe9xUF3qGD8zYDx5NQ8cHpeGnx6v+FOuVzNlcYEa2ED4Df7FA9afq4tvp usARyqmeip4xkvmy6vhN+esuwyuwu4tzYZuf5sMHs/YTmvsbavdv0pEOjX+R 5L4jF2fyf2pzWu/VmcBY8PV9MBmfnAZHmGqesEp9L1bfafr9VCne6NrkNM76 wzSwYIoxB3kbLOeKUswJVl1SDDuh/+BiYBzfTqXR/rM08JX+rA/MYV34u7nF wD4wF91fkQv7PlKKug9VbiuG3n+hH7yxe2wDfVym8X9WjL6M8Wgxzo/f+0uB V3vV/luVsM+/qYSf22hbw3+OrYvfe8oxP3Y6pxjYTf+P7AeLPnd4GnvKOY93 Ga5xic9r6CCtrxDteMa5zfF8tAFLP1F5ZC7O8uM09vUVram3GH72xdr4PiIX PAHfPtJl7IB69OGlfGABvGWqxnlFOn21fOWd9q97KsEht3Eu2eA1jWqzVO/q mrAN7AL/w1m8YDu+8K0qzmGrfROcEYydp/rvadx9kv283jvMJ6epzb5y+GP2 kTG3ue9xPeslT5oJjoDfBRvBydZCYOhEydynunV657LBL8FVsL/acj6nb4fg j2nsEXvVprbjtOZvqHxTQ3AyuFlNJfgXPg/uurIcMo+rCjzBpqjHBmmP3Z3I h4zsLZjwotfLPrAOdHJoTezh41Wx7h3m0nCMHd6HV82pafMXfLqeY9XhT7CX nOp3ad079fwmHxxhnf18i9qdrYrYAf1b6/rz3vNFafhr2t+SDdvbaT8Fpu3y nrSYl+Ff+8sRY1xeE89Qy48eUB5SFe/LXcZ+Njk2ABd7vEawE51BR8ZUYuw+ ydOhsVeUI776oX7/UW2+pbP4Z5XfUPm6hlj7LssJ/wOjTqaxDrDmwhoL4avw U23lsHV4Y5c5WEs2eNpm6yo8ilhkblVgA77xNXMz4hT4FeVOlf8pGzx6vbk0 /Ta6Hr413vOeK0QZH1FVE/wDHwcv2eizJZb6oDp8bqd5HeNUm6vQD47YbL2F N8Ll4I7I3u21IM+zln+9ef6t2bCbLbZZxu40b8Q3Pmv5wdkNrn8yDXnO6Uya amIfWQvraPK6Gn3unDl+6Hbz3IztizMljoMbgs/4T74jP++5Lg94j9gfuMb5 r/ANzm6e8aPKGPKu95E9pO05tyeWJqauSPYJX4lLWPth29ti6cAidNc+dtNX eHiX95CYd733jb1iT6o9F2tnPnSHvgXbFLqGX6C+y2PuMt/DdogBX7X97k2D i/6wIeRgn/EHcETs9G81ZsG/KW93jE+sv0h7+U5V8JN3vBd9zgmQD8AfLlGb xXoOVwW3gdfAn0fZXh/3PEM8PngBL2IO4jTitW9nQw/QdXR5nH3PL7z3zJvx gxzEAnCtg6WwEWR52/VHKuE7xjSEr0ZG/NqBQpw97cAzbOBP5pzITRn9Y3/u rkSMhmzEC0MdZ6Nbb1uOwcb2ZusKtoj82NEW2zFcEWwEA5+33iED+vO2dZGx ulW/mW/4Ve3biHLwusl1wTvhyufLEafBW/EF8ET43BH1eb0m9h8dAEPBKLC2 3f6CdbAe9vljtX9T5YVay81pxLDXNARekUdAZtqu8rlMb4jyO2nEUE97Ldgy dgzXhXciDzIv0xhL9RzQ2WzLR/xGjEwsM6IQMcw6x5Xg/3JzNrjbw84TMdb7 5dgLyuANNoO9tDUEtx6r97+kka+5s+FL/4EMu70P2AL8cGUpuOPn5cgrLTHW Nxvn4MBwfbjyLd7zzfgdyd6XD56Mfsw2ZpKHolxKA1OJf/CXXZYTezxTjjwX 8U2ndQMdx88jP3EBNnHqKzZIPEa+Dp52yjYDX2CNnBfY12Kfgg0xDnbEXo+3 7Yx33uD57JdYM9fcPlMIzgcHJo6a4pwE613pWBAZiAGfyEQZ2drTiK0ebgib Rj5kG++cH/yQ/BOy4fex9xa3YYyCx4HfF7xGYrh2x3Hk4WgHX/q5c1PkqLod LxA3vKbnvOr/J42czw9KEZPDRU+YUx41H4KPPuIYkHhhkjkmsk1y/umLOJR1 822NYw8wb3gl+PEVleC95LnAErANuwVv4IMVz5fNRnxwvXMU4AS+CJl4w3s/ rg/5WUeXZB9djDj6cCliBrgZMQ35F3IvrI01dlg/F9iHYPvv2y6IWYih8Bfk bOqt5+Q24Fi3+GzBkc0uo9/g00iPAz6QtxjuPBox3wLbwip9f8p4BJ4w9zzb 5kr3xd74Tqx9OB/tqb/XuQz0izV22OYY+yGPj+zkYnbZf5Lf+5HlH2T9HGEZ wEbWPNLYyHqJDeAY8Fb4K/kxcgyTnGcgDp7gWBh+dbPrsQ/shJhrsvMt7M98 4zPcoNrxL3ISY93kOAtu2ewx+X667kvfTrlg7t1r/g12kQuDO4FL1IOX5POQ Gb69vxwcF58Jf2BdcAj4L/lJMBPeuN3cEV9DLvs29yVmaTGf3GZOSf4VbnGr Y0XGxhevMq5yRpzJYeveX6SfGbX9fRr2hF1he8RrJ50/J+YgnsfOiOc+sd1R f9L5DdbROCj4OjE2mAR/w+ccMo4RY9KmxRgCLoF34C3lib7PIIa6znHVQCa4 xnL7QewajveQ8zPEkuR+yEcRO/eXwneTOwCf3nM+Ct1BV4mTTniNxOCPOg5n /qxlAAOyxkx07Ij90wjrY7t574B94V0NsUbiPNbPOuEx5x1fsM83OHcJR6Wu w/X4CnwGvI54DUxAZ/alEacQr0yxLYHnVdnAWXgbfA+sgPN9py5ipx77vlXO j8BHz3muRZ4L30SsP9RnUe8cEbmixDwcPrza9xxPp2Erk23XcKIPfL+xNg1c 31UJHOg2n+nMh86gG9w9kLv+7/rgLH3mjZwr90ncJWFDp2xH2Cl2hy/DjrkD ACfIdexznM79AxjLfoJt+4qBb2AA9w1gPdyjy7nU0e7LeuECcAI4DDEo+SBi W3Sz320oD7U+M9YTxmb8IHX4P2x6gu16osvE3WA8897juIe8IbHSUs8LD8Fe m2zL5HU3Obc7ypjAPLz3Wx5w64NiYBf9mp2Lb/Y4jM/5c7cBfqCXZ71G/Msl zpvB9eB8cIl659OmOl8IF8KmwONLS4HJYPVg5+vggd3mgsjyM8vT6DsuuDEx ymnrM3Ne7L0Fz4Z4T+DIbeaccEJ8FrE0dov9EqdwxqN9PwKnmGaZsTvwDdvD f1OPf3/SvGuW27a6PVjBuj4zL2/1fdl8+6PP7FtW2d/trMT96a8qYafnzb3/ vRLYV1eJHCC4TCy/3eUpjvHn+j4GfTlZDJ3B1tBdcnT4PPwcPpoc1VyPg27u 8VkP890HNnPK92nYBW/w/VbneNfZT5HnmGjdO2eZsXf8+jj7r6e8RvD/Ut8d cL7o7ETnkeEf+Fd8K7Lvtc732zfjlzlP2nGm+CraT7WesDY4ScX5YrjREHMe zv1dx3HEPlf5DpG8InlLdIv4gnww9xlwxt5C5J/g4KNtC9gHsm+yfhK3Ed/C z9GdPusP8fRgc6RBzjkj/03OnYItzDnH90PsZbX5SafzaZc5zgLXiKm4o8NW iVuw7ybr8wb7SfCImG+O17LEcQc2dcrjc4bIPt7yExsxzoW7Ee8DdjA/DWx8 MA0sZg9YIzH3GvNVuC6+DX9ETq7XMXivc3TsHblT/MTjzqUscxm/sdz3xR1u h71wR3HA8XyvY2TG5L7iTd9Z9KaRH9yZRh70DT3TjPtv+v5ljceBN99oXwFW w7MOOJdC7EIMA+9CVuJz1kl8T5wPdh3wvQntGfstj/8Tl5Fruu/VmeN1y0Oe 9q5KjHm6EnEHvAROApYRk7U4h0EMjj/iXp6YATyhrtv1cyphkw9U4g5/SyFi gc8d8yLnG84J1zteIm7aXx8xAnuDLdB2mduzV5u9n2u9139yLmWH10usx90k c9LvoPeEs1rq8wIbKRNzbfG5IRsx1pPGw4M+R8bkvnKGYyjabvH58t7q8jzL gDwXcpGl4HO/9v6yRv4HAQ7A2e7JR16YHM+xNPLmx9PwT4ecqyFvutq+nn1q 8ziLHH+RK+Dusc159TU+G9q/aEwGm/c4z0O+ByxZ5L6rbRfvufyY68GKUb4n XWwuSRvw6TLHbuQJHnHMiF49Yh2Dcw2Yd3FW9O9zzpA9wh7Rl9mOM8HLmd7b Ps+F/gyY5/CbvZ/pmKvHOTdyb4u9F4x/2P9nwv+boDuvW3+4c2zzvSNncsDn kvgcsK9h/l8R/mck65gVvww/ajVHAht2GR84s50+9xnm0pOc/7vWfRf6Xgpc 2mqdQSf5/4d+/58J2Esb/D65E/IIxP5/rY//O/pjGrE+9eQZyJH2u/1C5zq+ yD8sdBk9QFfID8BdyPWAd2crkWN6pxI5IPrOTIPD9ztvM8K4DCbj+8BwbA6/ gn+BPx/Nx1zMyX0xfnqFbfl1Y9orabSfpvex+ogbyE+QGzhu/9WWxv363Q2B M+RYwBb8DeVZ5t7YIzpzIRdiGdhvYhj0hzaLzZ3Y+63+/wfiLnwS+vq7NP5P 65P6GHuF5yKGIzZgzJfzgc+cL7EC9WDamUrU9/o+HBng7vigl/y/MdgZeRli MPw6toFdME+H71DZJ/aLPO1Y/75wz+644kJMWhP4Tu7zCrdnb/8jDRz5qd61 lcin/LY+/Odu+1B873r7X/anx/HdW/ZBYP6njjHYG/zoFR6/w3vC3p9xHp79 bPV5okvoxon8l3eRrH+mdYBx8O/MAV8h/09Mdthx2T322cgDp+jwXPCORT5f dIc1YrONzoUWHHt2el541CrnbZY6JsAPkm9Ct7Bl7qPI235qn7jM+VVi3yXm FeSW2IMxxjFiP2yEObd5XvLA3eYV4Ntyx9FXOseFDq9yX+Th/9247wSf37Rf B5eYe6nl7LPtIxv3t/uNA0edO6Uev/Ab5/xPuQ+YAPbwDf3sN47QHkzh/+HI kfL9ZbeZ7np8PHgMLx/rOOsa59Oe8Vzg2Apz9rHmOTMcI4MBF/hclX27y9xv H3euD3/NPS56Am7xGx+BDVXbjtCjrNuAYdgs58//4GRsg6z1qHHwsUqM+b/1 cZ5HvV5y8NucJ+e+8Yh5ZrtlHWeM+tg4hV9a6fP9f6tVsgM= "]], PolygonBox[CompressedData[" 1:eJwllUls1VUUxm/f63ulBfru/QcCLJhaZAYJQ9iQCA6ocYUJiJUSiiBolCIi bSEBAgRNXKuJulECDsBCFqQNWtHQxoRBXCBEBMOgWKolFgFtq/L78i2+vPOd c/73numeN35149MbciGEzaAcfBf5RSiCv0oh/AxvRf4NjEauBycHhXCjGMKV FMIh+C95/MBi5GezEJ7iwNGVIdQhn0QXsY1B18N5R+A34f+DbvhgeCO2i+Ad 5F3ga2xdoA17C3dM4a5poBbbOfhR5HZieBz+EbiI7zJ0+7Ddg6dCCA/AxyH/ yRk5Yi8Dp+AHomNVDsplPJiE7wi+GUC+K+B7viyEO8hbOHMi9h50f0SfqbMV 427kavkQ+w2+X4nvWHgt9hqwCb5TPFj3GvwVEPh2LLwReUOy3I5uB759oCLv O5uwXQAniq5pK7bD8DXwJ/A5gPwxqIdXE18F9t+jazuTa7qR/wZZwTVRbZaC jfh/Bp/Ntx3wfvz7yHc/8qNgNfYG+WDfllz74dz/IrbHwPNF13wf8lHqOyz4 m1/xnQAe4ewudBew3cLnVrlnQLPQD4YXnKNyXcWMPIn9Q+alAbkebOKst7G/ gH09fEmVZ/BydI7KVT09Hd0T9UYzpdmaxv0vcf4CvvkpemY1u63Ym5B/JKaK Ms/QAL634YVyz7xmfzkYwPcO/HZ0zspdM9KcXHPVXjX/BLkG+9SiZ1SzOiPz bO7F5zlsM9AtJJ63uHM6chu6jqJ7qt6ei879Kt/M59tqdJMVP/V7A9sQ+CT4 LPge+H9gZMEzpdm6BNbknbNyP19y7XVnDXye3mjBOXVGn6GzFPNW9QpeV3TP auFfgRb4KPzbkd/FfjnnGS9FvxG9FcXwr94aaMrZZxX+n0e/Xc2YZq0P3RJ4 L+hPnjnN3kEwJ/lN6m3mQS+xH4v2VY1Uq1nRsahHe/F/P7qWyvkD5EHoEvKn oBL5ZWr4Hr1fjv8P0TVULeXzZvRMa7Y1w5rlM9F3q0aq1RD4qznHvAI+NzlW zWRd9BvXW9cdXfBF3Dem0m9Ab+Eguut8+z39XI98NnqXqqdD+bZK+6Tgng5O 3qHapafwX6ndJB28E/5M9Bk6qxvdNb315F2pGIdim8P9Z7HfoybbFTv2cUXv GO2aL5Lftnr6JfLrybtJb2Bz8oxr1rUDTiDPzDy72oEPZt6B2oXb+eY4/g/D F+c9M/uTd652r+7ciNxZ8u7RzvkH3x3Ju18570RuRteW93+G/jsaos+WrgX5 Sslv9Rtympw5Z+WuHNdh/7bkXmun9Gg+MtdOMxij35Dekv5TquBro3eJerIC 29TMtVUOykV36C7t1EPJNVQtO9BNwbYsWlZP1JuHMv+3qecLM+9s7W7ttFZi uw/UPP04 "]]}]}, {RGBColor[0.9865018905888512, 0.8362547264721281, 0.5581558608254387], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmnmQ1OWZx7t7eqa7p7tnfr9hs6ARkJCtBASTlSjKPYjrsSIwrDGmTCnu YkgMN0jMVulGBDWJ3AzDkYig68Fhkj8S8EiiVijUaJatFZBjUElSW0arssgw HAL7fOb7ndKq/tX7/p7fez7vc3yf5+1+d85smZHLZDJ7ajKZ+GXaSpnMmniu yWcyJ+ozmY54aoN+Y1Mmc2nQF0R5PGgfxxNNur7TjkaT4tsl2UymvTGT2RIf TxUzmfUx+Nfi+8moPxm0Turx5KL9+bLGORv0jSXR62KoZSWNybyj6jXOs0xW 0Xzno/4fJa0DMmNQPxcvm6N8Ip5xnmuzxzxSK3o2yvuj7w/juSLaTI81PBD1 Z2Ld2Yr6dLdhDsa/PfZ1b9T/J8lk+kc5LJ47glkzC5nMjHimxR5vbhL9hmjz TFntvxqdvxn0MVG/tUn76/R6xsT7QzHG6CifjTHWxDMpxhke30fWi3/wCL7c YF5Chw+PR7kpnmF58eNx8+pwrejw51CiMS5JM5kraRvPM/H+WEljsgbGG+4x GR9eb436ohjnKre/PMqh8TydF8/gy+VRnxC8uimegfF+Ltp/McqeWZX9Xb+k JJl5I+rHgycHYpz26Dsx9tkRtF7xHGmUzCA7n8Q4E+LbxKzkjL7F2Mf4qN8Q 9Nqo76jT+PD/z9H3fc4tvpcLmo+5bmhS/Z+j7Ih5D8a87+Yl12st2+csQ8hA W/RdG8/D0Xd4Xnz8Tsy3NfrujL6H4EdeJWe9rSw+02578OC5eKZF/b143ucg Ypw/ub416rfFGRyNeiXW/+Wy2n+7VjzNxn7W5tT2qPvujzZv1usbsrQx6gfj 29roty6eiTUaY7vHuTrGaY/yezm9b6tozPkF9aH9mijb4mmJ75M9Fu0541zM sy6nfoz5rzXiETozPeitBX2D/vNYzwv1mq9a0J5HxJp/UZZ+0edPWdHZyztB X1HvOWKM9fH8S3xrKqvOWnbUi89XxpxJWe+fZMRv6JOifL5e847Nqy/v56PN 6eDp38X3M4n4Bd/gwb7g+UsIecjAbfGMjbOeGm3KeekjutdcEr029nhNQe/U ry6p/mC0aS9K7i83j1kDa14StO2xjlFBXxptzgdtcey3b0FyjAw/jvGINbTm tNd13u/b0W95vb71KUr+kL21RckNMsN4Zz1mm+1DS9T7RNnbc/Ad3UPXpqau J2pz1nRswfyK5Bm+r491Xxu0KU2yBXdEeSLad8YzO6t6RzyHYnmzozwdz6x4 Rhb1jTanTH82K/tH3+kF0U8yd/SdUZZtxa5+ErQz8RwO+uii2tH3v7JqPzyr OU657xb3HWr7zFgrYu2LSqoz5rsxzvJ4Hx1t/jMv/9KWkx/Cf4zhXEqqI4rU l5s+t6A1sZ6vYpOj76agz4yxZ8WzslYl71tirs15tVkT4z9nenPQVpfUjjbI PHtEF5qLGn9u1G+J798oy6ZODvqF8TwS9MUl2RdknD1usR9C3qGjC9gYbA12 fnRZ8vZotHmkJDr2Z2FJfeHVypLW1+y9UF9Rkv3AjuCP7qjI1qHvY0NW2kPG B4YMNMf3X8bz02h/pCj5RrYPVcP2xHNRUWd8wrKxN9rejM7ntafPe1/Qvh7P g7XiwVnz4UBZvMC/HM1KxoZFubqgvqsKGueCeP43xj8Xz6D43iPKM/EU4/vF Uf4hK3osuctX0B5dm9c9F3srSc6xD/CLvYwwT+AH59UUundZvWSHs0UO2MvA KAfVS3eHRPmP9cItg6P8Sr1kgZL3Te77Fdex0RuNZ9j/JR4H24jfAZPgJy71 OBtKWus/Rf0t7wve7olycFbyiQ1nb9hqzuZnbv9eUfXr8jo7vs3Jir7BbRh7 g/UdeUFukKUNsYYr7NPZ3xDzIQ2efDHqP7M+gduecn2I+XBXMP4foj41yv71 qtP+3hjz4ZL8J/M85LkesrxCb41yVUk2fLRleVZWtNU+F2TvJz6vH5VUH2k7 utz4Af2kPX6Pvq2uc7YrbRPwU62eC1sBHb1Ya3w7znigzXzDNix1325bg89H Tx8sSR/xYSuMJdjXw14/PvXHXifr/dFn1g8dX8YYi4wzqS/2+GDXx4xj8TXo M7r8g1qtDT+MXVhoH0RbZAxdxk4s9trmFGTnT+RU3uP6AtfxA7Nty9E7MB04 A58JNsRPs79Hq2pHG2z8bNtqdBRdRcfBb+gregpmxTeB5ZCXfWXJDHgB3AAO +V1VfSdZ31s9DnjzgG1CfSKcOzTk6nOJZGpY1N/Myu6gFzPsZ66yn724IP/4 UlXv2IELYw+Do34BvrVB860yRp/hvpQz7cvQ+722Y53G89CxAfjpLv9dUXvG OGpfddb+cc5nfNlc+xT4Dx2fyxr7xfNKTtihagyAHEMHGxyLZ1DUr88J29AG fANtsOnsh/dcTj6iUhEuejno+4P2bzlhJ+g7HJ8RXz3mGI7YqTtuyFgewEcv 1glD4xPwDb/POQaqKHY6a/sz1zZ2vuvgx/m2S/Nsd/Hjy6p6p/6ExyGe+muc 6Ucx54dR5sFY0eZYVhgL7AWtn8+01XhsnOkfZ9V+UEblONexB8QV8PL52McL 3suysurEAuDBnsbJ4NWGgvAV+KiPcdR7/gadmGZ8PPUFPaWC/A/xR73r2PdK QTwHizEOWIu2xCH4pp5VxSC8c0a074j2v65TH9ozN3X8GOtqBEtFfXnwpFBQ jNMj2nxYJ99H7AN9RI1imi9U5Mf4/lE8PczDYRXJW22NvkFfWdUewSdF74t1 gp27+tZqftYB5j9nn0ubrL9Bv72i8eE5e2FNrGeC93Y8xv9+fB9V+bQfdfZV MS/g286Qg/+Lfi8kkl/oT2fVZmRFvJpXUf2szxdZPR3r2Vmnd+rQkOOpOWGD naa/4Trrf8Ht3zDP+9pu9KrqnDhvbNafc8KQ7Im9cEbIY1/LJO2RD+JVYtAd bgNtgunEwzd9Rn4Yu+QzgXf4WPAUNgk7uhisiQ7UCB+2GAMRK99uPqObbcZs +IZ3iPPiuStRrPKtJvklYl18U69E8cNdqeIObArYf51jL+LBaqJY41vRJi3L T+HHvpzK3nwpVbyITYG+P2LtccT5QV8d6z8c33Zit1LtYXAqLDvJMfIax5oT atS23e3xa9TBLdsdNxNXwoOaqmKcfFV1ckf4hrzrlLXx7I76b6PMxrMrJxuJ 3Wfd4K5cVfacOZibBBd+DhuAP6Jfzn3bHQ9jx4ipic9ZU4+yMCT8qrH9zVkv eke9H3qRVR2MOiX63ml9RDepcxZ3JtLnf4/ym4ns3deCVy9Xdabs95Gg3YO/ inFujjb3xfsvEukNukQeCBu+wHYb2z7PeoF+UCefgZ+nDQEPNvz71sFXq+Id fGuO91vrJG/YDzAwa4Z/F3gNm1PtbVOidV1oOnvt473PchvaXhzt6mK8zkQy s8a+aYr5gU8ZZtl/xX6qzW36VYQ5U/tZ+k5wbq3V9btjjovi+/dSnSvnt8bn mHEd//vHrPzyvui3N57v5oQfsAvYBOQO+UMOx5aFr3gfUxaWA8MS8+xz3xUx 9oGoH4j6qNDJdyrya8Q3YHtkDUxJm7tzKg+6/dKqxtlh+jtuM6KotYGv9lc0 J23wafg88g/Ej2OKiiexx1XbXrAP+wHDbLR/RwYGlBVTILf4YXjBOrvWUtEa 8e1T7N/nGNeBT66JM2sJHj+bKsZnfcRm77oPNoc4g9jwOuN81g2f0CF4sMt2 CdyMbQKfH/S8yAtyg6w05OQ/+9q3oEv4tS/Z5uQT7ftQRX5qR6Nk7f6gfyGV 7O5rlG5NsX6Rt4aOPOPH8Gf4O+wosgEm5Bz2+yzIH4DDWSt26yHb34VlxUQb HPsTX7CPIan08bJUtoc4Hj3CrhyybUGfFnsNYNvVxr1N2CbvlxwAOVX6g2HA NMd8RsxzwPuHD99J5Y9YCz4JHEUMSczSHSeDvcGTxDnEOAPCB7wU898XY/wg EXbYFmVrjeiNMc4p/E5V8g9P4e2MmGtj1H8Vbd5tVCxAHPCM40FwODpL//uj zUn7RGj4UPwu/vtp506PV8XnufbrF0V5U1Vygdwy/2qvAR5Sh48HohxY1X6X RNlRVSyyPJ7OqnAltoQ4FRkmLjpZ/dSn8E79uPuyhhPuC29fLWqPrJex+IbN PxXrezLouxoVQ55we7AT9CZjJ+ZCB1c4F9wt5/ShPW3r3B7M94ZzFEfi+9s1 4he5R/KOxPe/TCSnHyWSCfi925jnY99lLEglz+Q4tyfSnw8ahWv+4PHJOWAD wFTgjKIxaq5JuGdvKjsGH7FBv07lb24jl57KN+GjjqQ636/b/+CnwN7ox177 Z/QVnIjObimIhv8C/zEmPoIz4wywLfidV+zLwa3MRVtsBnmRXfbjv7EdP5pK Xqcl4tGiGuVBwD+cOTlSzuGUz32V65wP/CKXD25EB8EUxJgL6uTDWB84jlgR LEceAJ0iX838L9lW4GfO1Sgm+1Xw+taQm+Ym2WEwLDECcRjfwQOsD/uJfQPD dlgXsKfQxyXyva+aD9he4nJiRvw0+cgT9mW/NR/SBq0J/vzGdOr4gZWWw1Xe N3YSHr9s7IQeEW93x9rUsUU9GtQOGcuY5+y3xmfU4jwz42DzX/GaaY9+rvJc 5AuvtR3on6p+deyxb4Nyhcw7oKo6OUPKw6bPTOUPpqfChuRLun09JXE3fcDH YGPWfsA2YYPvS6gPNJ0xud/inuuw10DMT398ITk25GCg18C6wFLkGThL4lH0 Fl1HnrmHw4Z/3nlabG2nsc3JRPh3j/fPuOAOZIw4GEw913HlJ87bv+ZYDb0g DmMedAcbwZj4BvL/vYvKoQzyncDjtnFtlnn8Z5fuZaQf2GJwArELMQlxx7G8 +LDecpnk5HcO265Ocn7xLedUyb914533HQMj2+Qe8CvkH6Zalk97nEPm4Y1V 4RDo3efBWjscl9Cne5+sgW/0Yy/ksMnHPuqc36rSp3aXEpvMPSl3lJzVKONf zmuZc3ToDLltcnrk/NAfaOArcn3Nrtfab5ErYF3jq1obvGnw2sg3wgPw3gdR /neN5sJn3m9eI5sj3ebHzu+NdD6z3T6ANdxtvX7Pd2AjnCsiZwTeu882lXP/ o3NG5IvwJfhI1kguF392nf0bfg19P2lcB74lx8v3rrimInyw2Xdv4H3ag9fA bT91Lnyd88BDfa+ILp31OpAHYs0DxuFHLSfk3Gb6PqTZudDuu1D8z5tuQ56Q u5tZ1oNrvbajifzSnERyTSyL7d1szAn25Jy5h0InBxvDw5NxxsKcHecGf8AP yN5418G2K+zXwFI5nyk5CPAVGAksA07swrF5+WN8Mf8X4P4Xv4E+k8fEpoEt DzomIh4i9uvju3ViL/wa8eYg5xgv9V0AtobYqyvXVive3Oh14g+Huy/3iuD8 B21D6IcducdxG3IERlhknEAOqad1/BbfIxETD3JcA//JN2AHxjt3RXswCDK4 x/wc6RgRHeWuf6ttBXxij/Cv0TwYZP5f7fwb/8VA91gfMSWxJTqJjBy1TCYN slucL3ciT3hf2MDdBZ3JR8Y896Q67w9sh1lDh8+rl+uDfL9z3HQwyDGvebnx Bra1w2dN+xrbPvbCnDUeG9x9pf/PkPd3dJASeaFea+zWZbca1BaZucx3QODO v9WIp9xr3+w7LvZJLDjQdz1nzHd43mHd54yILS73ncuLzkeRq8R+QsNHEwf3 933KA2X5vKfsC5gfO8pdzFOuP20Zww4TN7c6piZngQ6ii8jVfOcNONte5tUA +2dsMnEc+IO98B+EBUXtER8xxn6i1jkE5Ob1gvJj8P9MqvanU9n20b4TB/Ny L44fJCbBng4JHPWXVJgKbIWcU0fWx7gv9ynE4mNcx441O/bEBhKHE9uSpxng XA007pWxvcT0xPbc6dBvrO3pWI8zxzinj30u95kjHfMS+1IHh+CT+5g/2P0R pqNfZedPu/tg27nrbHbMfoHzeOArdKDFd6NgRrAl/gcZ+Zt1HN0B8+0y7gKr gcNeS9R+dyLZStyGvCl9OSPkFHndbbyEPHXFng0aBzpj8Y4872yUvD+QCAMy L9gXvDPZuUfemQtdxjeRz8OOdcXWtYobn3M8QlyCzCF707zXyd7vIssNMgPm bPEd+s5UuPz5VPMnXgN3jMg3sk6+iFx2u/OE25zDJ+6/w7H/QOMRdIG8AfwH g83wO3V88ijLBmeKzPcyzuzt80X+WhxrTDdGnZ3K9ux2rD7LGBF8iF/FB3PH +hf/B+mp4MMtiTADsRSxNPHmvET5aeLPqcYgNxqHHDNOw2bho8k5nrcdY178 DuVrrjM3GBVfhf69bru6xtgVDA8mIScALuE/aNz7EyPyXyruRYhLX/eYx41R XzdOxfcONh5gvC0ec4dz9ftT2aWFtk3c9T3g+z7s2U7n2MmBk/vmzoSc22Hn eyvOJyMv1zc5V94kWuo8M3YL3nKG0PjG/SlYD2zH/ey3ndcgXmS9Wa8ZDIId wE5Mc5stiXQSeQCP9XSOF1mCb70tD+BHxkdelvg/ENzhgvOoYwPwueBw4m7m GeW50Ano6AX4kf/xbLVvOeMc11v2k6yTXNQ+59DIzfdwfh5smXq/xLLcB4MJ ufulzv0vbZssJ1Xn9slfo+tNthvcoeJf30703wT8MTiDe3hwDFikZGwGRnvY 9/XDndcA36HLCx37kN/lznCT/2u4yHfiV3mN5P5YJ3iK/weydv6Twrq5u57u /+8MtQxwf8kdJVjkCvcll7nRd+HfTZVznpZK5pA97ouwTWAC8AC2B/mCv73t j/jG/wWR9QlN8nfoCue7x3csvIMZJnocckVLnC/CJkx0+077BnKulzkHSG6e WABZwBdssB241nl47q7IxfzE8oPskOsdYfl50fdU+OvllmfkbqJ1AZ3AZyP7 2K6bjHXhzw8tA/ALu0JujbE6nG8h70JO44hzYcTBxMPEfcTDvBPP8h9K+Pbz RLh5lGWe/Az3WeQNO50fW+aYr69janwOOSx8FnEZd3vEG6ecHyMfQc6hj+fl 7rjrf1AF3T1xZzzZ940f+s6RmKOf7wawne3OLaxLhCH+PsoNifDf+kT5Cmwx OLDTeS3yb+SzH3XeaanPFN6D7ff43Om3133ZO33BEtucL70+EW2Z6dRXeHzs exdea1TOknwIeRH+QwueJvZuTaT/5US4ljp24MlU++L/VsQe7Atc9NdG4WFy gax3qeWQccfYBnKXznqIi9kP7cAb91qPab/E5w8du7LUe/9/iyT5QQ== "]], PolygonBox[CompressedData[" 1:eJwllElIllEUhq/+/pJDeb+vkRDBNEitCGxlizIFUytFaHBqwqEJtQElg4Im aVUtChqoKNrkotrkhKugaVeUCpWCloQWlKtKtJ63s3jhPffce+Zz0/c1VzTF Oud2gjgwkeLcPA48eOGd+xM41zbHubGoczXw9aFzHRHnNiQ4VwXPBf3I10Aj 9zu98SjvH8J79T7euYucdcFbwXx0C7DXBu8E59FV4mMc3o69smTnsrFfDt8E MuGz3K9H34J8Ocm51Zxthvfiw8VYjNPoS5GnSGQAm7fgs5xdR/dWMSJvB6cj FnMW7/ND8/0/J/hr9NGIxThJLXZxtgZ7J/C3Gz7tLfZ03HajL+UsB10OMYwg bw0t9hLeb4Gn47+S/PN5swxeBT7A69AnYOskuIK/PaAdvhb9OfgpkAt/5823 3ujtE2+6Vfjvwd9x5KfIz8ihHB6Dz1Fi6cNnLPwqZ2/QF/J+iPt5nN0mn+WJ zjXAF6F/j36Esy/wPvAzYjVVbZO81W4C/Vf4TW+17cDeGPYKkSsi1kP1Uj1X 7zcScw32B1Msd8WgWD5pRuKsR+qVYlbs/cQ7GNjMafZmuf8KXuNtdlSjbvSL vc3CjGqIXIBchG4YPED+hvw9znqoXmYGlrvuZMCTvc3yKKhG/oUcr7fgt7ec lNsFsBL9frCU2FpBGvos5CniKwYr4AcC47pzEN4U2GykITfDs0OLTTO3w1uN VWv1YCG8gTt/8XWJGszAUzkbirWe3oXXh9arDFAHHwist9oB7UIt8ueozbhm /aW32qVy51BgNmVbPb6hXoMSfN+hP3t5fziwu8pJuTVyti7RevRR/r31Mh9U a1dC2/0k9PHoykLbRe1ACbwIZCTYzmp372kmY2xG7nuroWqpP6EHf4+97Yr+ nEfa5dBmQTM8Ti+ep1hv1NNJ9MXediUP+9tC66F6qRrMlS1vOsWgWLqQf0Rs prvhR73tnmp8zFsOykV3dPeMt93STJz1NmOaNfVoibcaqBYFoAH5SGC9Vo4t 8NrQdNrhKm87o91RzRNlO7DZ0p+gv2E4xf4O/Xn6+/4B0im58w== "]]}]}, {RGBColor[1., 0.95, 0.75], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmmuUlVUZx8+ZOeM577nAmZMCFndJhTRNUC5mn1TuiCJpwAADzMAwiAIC hhhYmooXwMsHHTTMypa1Vpl5iVr1IRMw0ZIBBPPCWnlD7hcrEOv5nf9/Fq11 3rWfd5+9n/3sZz/3/faZceM182tSqdTLtalU/FIt2VTqaHT8LJ1KrQ74xVIq tTbeX4r2d/G8HPCD0b8h4IcD7hftffGcFc+9hoekT70vCaT3RLsqnh0x/vcl zb0qxpQ6CS84TxSF/3i07UWN3xrtLbXCA07GQs+4tMa9ZPhISWuAf30mleoU eP9Zo3WAoXNbwN0DbgzaZ2QFD4q5h0uaz9zvRrsnnuu9X+h70bgZc3c8p2c0 pj3GFDtpDPQvi75PS8LBHP6Db49mBDMGWjqbth7Rbi+JBtodhi+IfV0Yz7dj zNsxd0pReHbmU6mpRfX9qahxjHk15nw94M2eC/x2nOO+Gr0DL4x2UTyfx9z/ xDM/4Enx/2uBs0vATXWpVENR+MunpVLTsxpzpEZ9DV53TVb0/LZGbYNh9gI/ 4fHt8CaebdH/pZz6NgZtJ4s6e869r/fbxw/7Z2xfz4UPjP1DSbxqKaRST8Uz IxH/fu/+tUH3tsB7ftD2RVHjWWd8TvIxzniYs8Fn+6nP7oKMzp5zbws8/43x P8oIB7jAT/tfw8/H0zv++060t0W7PJ5eJc1h3EPR/+carc8ekWVkmnO/x7Iz OPrXZdT/oPGf9NwfBA2fF/X/MsvRRWnRu8w0H4j2B/Ar4B9Ge1c8LwTcFOfy /YCnBfy3ov67JOZuLGoueA6V1P+Cde1z0/b3ovAwb07guTPg6dG/pai1Lk5r 3p3GSd/33f96jLmjdGrsHaYNHsGb1rR41ds0TMlqX+jXwZJogp79Je2NufCJ c5lZI5wHvN45Gc1hPLQcNJ1fzWg+c1dEuy+e73mvh0w38/ebP3s95rkajeMd XTgzI5j+Q3npywmf1XGfV2tW9EHbDsst8vt82KjR6L3t4WjbK/g/qnRKdkaZ D9i1eywP2Mt+Ht9cI7t5Y1r4+1oXOvDyP3pF/5QazcU2nuV3aJmblg7d7rlX hlytKornDVnBo4Pe+6N9IJ4xAc/M6h14RJ3gBvSLfTM++ubFmIfQqRjzx6Js EPbnF9H+Mp7mGLO3Rv/Rv9r4wce8hz337ILGY3OwVX+07coXNIfxzAMeGfCo eNYUdXZDcpJT5BBewl/4iQzT3xhjBmT0Drwm5r4R8FkZrfkLr3uB6Wd9cLPP sUFbsaD9sua90d4Xz/CAr/IeOPfmrOYw/kHPZTw6xLrI5zNea0at1uMdHzTa Z8153hL938gIXlon+Wbu6oB7Z3TOd1jf0S/2gqwj59hnbPNPYu+5oPnZkNcj YeeXxJhKRvK2yn4LWdsa/Qei7138ZvzfN6P5d1lP4N3UeL8kJ5yP2JZhxw5k xXd4zv+DPYbzfARbW6eWd/jUqaD3Ks+y2jt8QFd62Edg6/CL2B/sJL4WHbvV to5zbbf8w4cH6uR3sYGPlW1n68XvN81zeAjM+bN3Yghs+xPBm58GTWfj98J/ /KygMZcWBN8Qfc3x/CTgtwLH83nB/WJMS6K5O6P/smifiee2RDzPFcX3RfH+ dEE+6Ll4TyzDfQN+syB7/mLABfPke4nwDIr+ntH/94CP12nMzwP+ekZ2Z0FR 9u2maG8sym8Tm9FPfIZ9Wlg8NXah+6E/b5k8kNd85hI/9LZ/by2I5oWJcDMG uViSiIZdPkdofiEvPUAfsCVnx/vWgvwe+sJav42+3+TFE8ZwjpuKOi/azYbr M3q/LuC/RvtqPJN9vozh/0E59Q+0vCH7+BrmbfRc/A56vd068rphzoBznxHw sJxkHxtL31b3zzc/kf/uGdEBDdiI160H/WMv7bG3E9gedKug+Ad+ngy4LS8f 8UXAj+clY8AnjGOL8azzePiPzNxn/iyO57Wi1l9l3mKTV5ZEDz4ImrdZhul7 zf1jKortbqqonznwa5P1Bx5xFo/Hel8K/FfFmT4RcNeAB0e7Pp5vR9/oRGO2 BS1NyGk8l0ffymhvLygmuslrba/X2bIH6Of8V1oGbok53wp4fvD5ikR4OMcJ 0V5bkK5fl2hd9ntNwD8KeHud+APcLfpnRzunIPv3ZEHvvaJ/bkHx30/Tktt5 BcV9tFU5jv7OBcnrf8IGjkKfiRfToqXJ9KCLE6yPze5nzOJEuMBDH/8hj08b PzLVlIiOKg0BlwL+LKXYGX+GjR8a7bCCbPA3C7Iv89KyMZfa5nAOQ30W8GOw eUI7pCC5uDoRPCctG3Is5PixjGzGZbYbC9DbeL6WUUx/U8DnZdQHTB43xPjB 8y3P5YygBfqwl+yj6L3gfwsF+Vx0mv5RtgPwFztPH3OIB7AN/IdNQy6Sgnwl 9g9c2MA5idaCD9cmGoOfghZowgfemgg/ZwcvzykolnjK545e0sJ/fCA4csbT Ya+h87B1kr2jpwfzsmnoJf3oJrrIf+gj/wOT+6Lf2Ed0fJdtMfuanmgcY7CD 9Fftc51ypybzh/+gHzsIPf1sG3mHtzvq5BvgCfqGfqJHHbYD3wSNj5t+/M0T pvlZ21Z0+bOc7C9616E/7OWcvGzWetuoNtO8Lyt/vTerPsaja+j2uR5/3DaO vc8KfX8cea9I7pA/9AWfgG9g7+hzj7z89zs5+TNkkvF98pJVzq83dJDLJDpj +NM9L5/HXPwocy/KSLYYM9CyfNh8uMz+FrmFP/R/7nWXey74l3suvIFH7AFa epke/l/m8dNib0sDnhrtzYn0H91HFrFlxGTYF/rJERmzxDD4+nhf9N1snuBH F1kfwX2Laf5HTv3YkFb726fdv8Dj0dkF1l/yo+XOEdpjTAndyGg9+EsOsiPa cdF/BjIQ8IiAywFfH+2keHpmpMNjA+4S8JhE44HHJ7Iv2ATw4BuwRdg77CYx Fva3IVEMin/ATyB74BjjdUfafzCe+Ig4CRleap0nlp2dCEb359LG0z/6384J PpeYJODJiew8uo2dJcad5ZgM+MpEe6w4ZrvBOGnnGw9rtXhd2tmmh3Xmegw2 q9U00AeMbk5LpOfoC3sa6f3ip+AX+rLCOSUxCb52heGZiewUNoqccoXzR+pL 5F8NzklXun9aVngmuV50q/P6qYHnxwXZiV6uLUzOKme8rXSq7zbLBjx70v5x QiLbij2cmOj9yxn5+OsMIxfIR4+A38qpH7/T4W/O9FlM8hh4gDzgH/HP15gP gx07ID/w5hrPJab8jmUPHwA9XzFtEw2z7kTT05iI732Q+UT7R96w15wF+ck3 0IlEueSI0NXGMAjDK5L5TtHfXif+78oJDzxhD9CPvFxpvUBnqAfdFTR3jfbq eLrEszvwXRBjltYqlyCnaK7Xf4yndjTe45lLbnsR+6lRnHSFdXOb6WGtDvkm 90Q2gZE9bAA6j75j87Bf2KKBtmXk9UfivC8N+HBWtoDxxKvX2w60O0673OfC ukX3L6uItnc7i3fwhPgT/g1MRDvxMPip63bEx8CsB0ycDL3QPcA44C+yTUwz 3DrIetgm4nBa+EB8Nb6sWu3NZdXpZvp8yaXQ5X7G2eh++ma5H1lo9LnThx0g 1sLvzzB8vfcbYPXMnsopNqUPXtAPnxjHufS0TFMXORh7HJpTLtvoOsINabVD DbOPds/FLmIfsXUdskuOULHNZe/YU8ZQ6+L86UcGaiqiLV2RnjEXmYdm6KUe OzXoeCctG8L5XOQzIlcmZ6ZWQJ16Szw7Y/wZOdXiqe1Mdj+1td3Oz8nN50b7 Rlb4qc+DB7n9JJ61AX+UUg2U/8jru+UEMwZ8rxvnrKz4tSuleegMc7tab4Dh BXlaS1rtxYaZd8Bz92TV/0lWtLOHB7KKRcjryOn4j/nw4f208I/zvcMa7xf9 62odhF7o7qCrm/tPzwk/46lLM3et7TD7gpcTnIsQz1CzRj6QjUcdA1XH18rX YjPWO87jLPC969x/Rln12g/KioO650/V+GnB09uxR5tjNuI15sCTT3ym73j/ 7J264t+yOkNkg7jtaEr+Yr/7uEfhfKkN7jMfGUN8xzs1mTeMp2PMfvcjM3u8 LjxcaxngfOhvcW320+ypsZ+6H/tEfIeNokZ/uvnMWR/KSndeCru5OHzAlODJ omhvjufjtGpOvFN3os6HjFPre6xW/Yxpjbn/Dro2xdy5AX8l+lui7VZWHWpW vXJx4u0TvqfA33CG1LUYzzrIDPKF/Ewzz+AtPJhmPqAvswP+V0o8n2deUdPl HRtInY9+an2vWq/QqRfrta8N9aq3UIuhPnM0q7o5tpT6Cn4Q+qg7z7Fu0rZ4 DPBs9zeZh+gcuBebJ8jGVJ8v/Ibvx1LyEUf/D89R42Lfp3sM9STieWSamhv1 NuYz7oj3js076LOj77D7X7U/gA/4iiNei/us1eYtesp6rDUm1qgLOI6qKj8N lhlq/LxX7y+ygun/Xb3OqmdZdQ/GU5feYrlDPpd7Lu/vpYUf+WEOc+dY1laY V2ODhtOyp2g5zePJJ4j58bHUnQdahi9z3olMV3PQRO9nOqciNiPuJefa5lye OHapa5D0QfO9rg1Tt6EGTHxJTRh6oAWZhhbeoWdAWv3wihya+JM5xFfkZdtd 9yUGJG4kHiRn5J16DPlam+tkxOvEjdRXsEHYtaJ9X7v3xp6oLRMTk08iq/hi 8tO3XEumpa7+luvswOQ55MDIP7E9eSjztxs3vo+7I9as3gW7VsBeHnDNnnsE cnrOgNzuYdeJOYddrqeDnzvDHr6H/aVrKeSOr6Rl3/AR/eO8x1HvifZXwbyP A8evo03KytUmRf+5HsPY9zor7hldkb1osg2nHg9ubDw1Bmw07/B3hHm+2rWL ka4zEMdyxuAe6zP9MPA/GbxIVVRvRi6oP1NvIZYmpqYORLxE3ERNhVwMnI+4 ZjLe9T/Gkhd0dYxF3Z76E7E3Z9zL+Rg1cGpj5GW8cz/GOcFD6kLElOTJ8OMf GZ37fa7XQT+24G37JmIwYjriQ+o8yAN1Cuqhfd3f5NgMGfnCMkBtosU1mOr8 omom2LoP7BO7lFVLPuDaC7q11HQhv+e45kDtEFnGL1LHPuS8nloL8f9xyyz1 D+SWe3PmcY7oCTUP9HS68wjoXhZrb4izvbWsWjj4qIff6No2+yNXIy4lpoSn 6BvnPtt1R/hNjYEaBPPRZ2J6YsZW55L9bQOutB2gNkJdCLmmXkvtgJot9Sr4 2HEHRUuNmnogMTb5K3fL8IH7ZWqQ1BzWWta22m7gz1vtpy513Y74nPokeQU1 Be42OSv0FxmZ4nyK+LeX45w5zouxB6xD7QIZanU99Xzzi9yD/AAeUJs4zznN APOBuh/7peZFjnK+xx/0HS3nRY477f9im7n2Kfi6Jvsd9KFan6iVv8U2sEd0 o8Nmc9fGGTB+uHPAUWXZmv4+H3I44m3i60Vl3cUuLOuuDZh71fXxvjPg7mXF SMRS+PT3a4WTGJl7VPKXJX6WegzfDGD3Oeuhru92dexPS/yPflMb6dhPF/eD b7fxravVeqyF3SE2xBbhx5BbfFlTvegh3+VOFlzE5MTyjCXWPWl/QT2P/e30 Hjd4DfBs9n0AeRkx3iDH4cgCco889HKNAfzECMTIfKfB3SZ8R5bWOHbHboxw jkMOREy9xXH1R7XybUF69ZyJIThrZJ67EGwFesF9BrLCXfUSn/WTzsPhEzFh W63yi3WG2ct7jhfpJ2YERi9u990g+ovfud/3bsQ2Q5zrtZknnzivwa/gU/r6 3h4+tDh+Q27hN+cGT652/Ye4YJTrQsgBvn6N79e457nEuXajaxHVu1V/w3C3 v1/Y728Qljv3R76Ja4lvu5Z1J3yW7/ehlX7ic75b6eRvVxY7RsFfYN8W+O7v kL+FIN6c55oDuoFdwWZiW/imhe9gTto+offYKO7Qe/v7BM6amJrYHpve03nS AtcusAP48Yd8j7nS9S7qYfgcZBG/w13yENdAuHMb5joGcRK59GT7YnJdfHNz RTnSsIp8O/KELCHPH/r88hn9Rz+yxhh8Me1Jw8Nd80E+J1akayPL8uETXIPi +44z7Tu4fyE/p56V850ZtfaNZeHc01m1HtZmXWoD6BPxD998Ff1tGPkIOSf+ lTvs8a7T9vHdDXqOLznP9pWYF14QD+OboYv3511fAD/nRD0Kn9rk+yjW7uRa B3EYd1vULKgHXe2aFfnzdOc77PEM52vE6/2dPyETR50LkBNQe9vh2BP6OCti /uq3XzXKm/Y7JyUnoUa6zbFwN+fm5JPUczriyp7OPx61jYMf2K6qTa+R7lM/ 32VZxMe9YT9BHrTIOR3fwfGtBnWTia6lwC98+nzfayN/g1yfofZL3IAfGuca DraYb6iw49/1/Si8hs/YRHKtna4dtZu3xParfFd7nmsz1CH3+Xsh/BvzXvZc cqfNtoH4t2b7uFdsd6iHYJ+w6dgrbEGT41tqFDNth7GrMwxj34CJjYmTZ9je NjlfZC48mO6zxnY3Oofi/Kc75z1smwyN5KbUgdHtwb5vpA5MLsdeyE34LoZc nW9j0LVN3hfv4MEn7nY/+yK3ZO0OHBvNk794/4zh3Lpb98H5F/fvtU0mzz3q OWXjecf9vV3/xi5vtm6iozPNK/j5inEedQ672fsdG3bgwtjvuIp8KLWPh12D QLfZF/4EH4NPIa/hey9qPR/aX69zfNLqmsCOevkr6p2bnNexF3SM3Jgcudnn hA8l/93jfBY9r8pp2t9Q2t4SB/ItIPEwuoQPwP5TX99uu48MTjTtDc6piUnI KaEBG7jRMnnMvBxgfhInYY9vcF4/zHVm9J+zpBYx3jXkZY6zHrEvgn/YQNZu sy/FFw9ynoE+1zlXZ61NrrPA//dcLzjmXLjOeTp26n3jed8+HviA6YGfbY4J iAF2Ox4jbiDfI59oN/9Zh3McVdGdwVUV5VZ/9fcVk3wvgMwTr6H7yBK5G98P Ede+bNmBfmLUg9axPq6dcEbU2fD1e73XYx7/PyzN+aU= "]], PolygonBox[CompressedData[" 1:eJwlkssrhGEUxs9cTDNS835vuRQbK5Qyw0b+gxmMS42VkqmZ3KJcIhb+CNko RRZWLhthtjasiZRckiElO9kov9NZPPU857znec/zfl9zYW54NiwibSAKWgKR /iqRHGiFVzmRahqpBHUvcoNOo5fRY+g4egSDVA01dBFs0/+Ji5Tgn0mRv4jI Ozjk7CO6k9kuMOStpr0PcAQPUdtjtoP+G2cz6HzYZga9zehsO3iif8uOX2Gb CdOrw2MDfQG24MfOvDWDZrkEv2I7XcF7vXmlQRZexm8xJvLN/Dk8w5lnzlbA AXzA21nNrNl7vGXVO2vRM4G9nd4xDX+l9hC1N0vAc97eUjNptlJgu26CBvpC bRe/Fe67012c8e4QeyTtjfWtNXMfvIn+Pf0TsACfZKaR/a/ZIYqeCCyL1qbg o9SWYpbxFJ1Fj0csY95bRs1aBqvOvoF+ixf0vjNP9dZ/RP+VAno9Zp5nge2o u+pOO/TqnWXTO4r0553tqm+ib6Oe6q2ZK8yuObtbPdX7H6RXWb0= "]]}]}}, {{}, {}, TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVz81KAmEUgOFjFNiqH7BahNAqu4VuoDQrE9xEFIhJaVhkENiduGrXqnJX dgPVPnKXQtSiewh8ZvHwzvnmzDCzUj0vt1IRUeZwPuKIj9mI/bmIaf3mkjbL 3DKaibjSEgN74ZlfZ3fmH02ZJ/h070KLXJN2f1cLbDG0u6df2tESeXbYZsp+ j0ce+LP3qu+80fT+M9bIscqk81NtcELW3NcXnjgwP2tVb+hwT55K8m26oZsc 21s013RJ6/pP1/VC8q9kWLdbT/apMQZwkiuj "]]}, "6"], Annotation[#, 6, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzzsvg1EcwOFjMbjE5RMoFrdFJUb3ySZBlCZIKIOWhY2Ez8DCRCztxECx G+yiAzE0EQlmtIl4zvDkd/7nvD1938RybipbE0JYZ7E1hCUem0MY1Dp9p54j /lpCSNNoPa8NuqAVqtya77ihZC7qNbXMuS/FEMOMcNUUwpvnCox7Jq8TesZp rHmTLTbIkWXPWdFvq1phx942X9aXfDh70M+45t78qz9808YB+/FdnV3oNP3u SDJAypz2jqvxW3UlfqvmtcAaZc9lNGl/V7t0Rl/tz2q3eVTPzWPaoZ2U/Oeh +UnbzQn66KVs79jZCZO80GP/WTPu+wc8RT8d "]]}, "5"], Annotation[#, 5, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0LkuRFEcwOGjGusMepGh0TAar0Cvkoi1IhES+5ZQ2N7AC4yhoFJaiyES a0OhIFMJhZ1qLN8tvvzO+Z9z585MsneodbAghDDOTXkIA5XWPFp3VoQQ1ycS rPJn1k2FdZeWa6P7nZqz79AMzWwyyRQ9HDr/0m8+SXmugQfzLO1m9fYtem2f 5zYRQto+bT3KGMNUm43ovP7yQ55k9E7zfp3R2uj9WqPTuqClWkJx9DxzvJpv 8+x9p/oSrTmxL3JeSIw6sxWWiduXcRX9Hvcu9UOXzBqtFzWl+3rADnvssmZ+ RDZ6hjaOaXJ2oe8+50zf9FxjrDvbIMMWm9H38X/l3JnVCXequKfB2Z32mf8D rDRJog== "]]}, "4"], Annotation[#, 4, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{4311, 4706, 4725, 4312, 4664, 4114, 4324, 4213, 4214, 4174, 4574, 4647, 4646, 4161, 4382, 4383, 4384, 4244, 4658, 4195, 4546, 4196, 4547, 4178, 4530, 4531, 4527, 4529, 4528, 4221, 4534, 4072, 4401, 4400, 4177, 4220, 4071, 4545, 4733, 4399, 4745}], LineBox[CompressedData[" 1:eJwVzzsvQ3EYwOG3Ohh7MSAWTdrBZalgIFH9Cl2wdpESDIxIXBK0tNj1k/gC LiGYm5BYxaqTPh2e/N7znvM/JydX3alsJyJijVo24jMdsZ6J+NIx2tzxnYrI u1+g4/6qrvRn+3HN8WHf5cWuoUuUGOGSV/srXabMKE1azPjGtd5yw59n3+y6 +q5ZuyHq5gZFHlz/cO+ZZ87MCywyzDmPPJEiTYYLZ091Sk90Wrf67/OOQf8x YT6yn9Rj/bU/0ILrAU2yad5g35zXf8I873xC53SWPQ7ZpU4PTUovhw== "]]}, "3"], Annotation[#, 3, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{4059, 4707, 4313, 4394, 4314, 4168, 4249, 4248, 4066, 4264, 4265, 4192, 4578, 4191, 4657, 4053, 4581, 4054, 4580, 4564, 4307, 4276, 4289, 4288, 4073, 4290, 4291, 4327, 4326, 4286, 4287, 4185, 4576, 4652, 4651, 4180, 4532, 4179, 4533, 4257, 4225, 4358, 4357, 4356, 4134, 4204, 4039, 4586, 4585, 4550, 4614, 4613, 4080, 4618, 4619, 4569, 4617, 4616, 4042, 4026, 4587, 4551, 4621, 4620, 4085, 4736, 4747}], LineBox[CompressedData[" 1:eJwVzb9KQmEYwOG3K0itRZtU6gbMMoIGK0ozBLsDxwTDu2iJgv6Nzi5tNSVB c4WNgVMXICW0ZFSPw8PvO+/7nXOyzaNGeyYi6hymIlq8JyLWNa1jMnTpc0+d m2TEIkt8en6bjbjTW/LezdGz2+XXbkf/tKJf7BHuVnWfGo/2p2ZnrPJi9jH9 Pq92l1pmkwxXXFNyd6hruuC/E3e3PP/oto55cD6xv3Au6rmuaJuBXcd7BeeG LuuBfpvP6TxP7o/omz2TNNsgxTH/z/wubg== "]]}, "2"], Annotation[#, 2, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzj0vg2EYhuG7qbmtj1L1kZhMjGjDQnViEZEY1axvYmKxkZDGrP6IQSIM EkkjxKh+gKFiIDo1cXQ4c9739V7P87wztWSrnoqIXbRzEQdDEbXBiBIP2/fM I7zPiWwHm/ZD3uA6f2QjjnkdR6hiFdtYQwU3OgvuWOzfhzxG8YlHDOik0dFb sn9xiWe9ccKnfIZ5vNvnOKPf0rtFR/aEnCyLP9myvcsrfIFzNJy7k32bn/v/ oJtHIh/nItryAo/hUv6g/yt7xbRsCtfmCfR8q3ITV3iz3+PH/IKy85P6KW7w P9GcLxw= "]], LineBox[{4743, 4156, 4735, 4155, 4209, 4731, 4208, 4510, 4157, 4507, 4509, 4508, 4241, 4036, 4435, 4436, 4433, 4099, 4434, 4599, 4562, 4160, 4639, 4514, 4381, 4098, 4432, 4159, 4513, 4052, 4512, 4380, 4431, 4430, 4511, 4051, 4035, 4598, 4561, 4158, 4243, 4242, 4037, 4440, 4441, 4438, 4669, 4740, 4738, 4439, 4741, 4600, 4739, 4437, 4737, 4742, 4668, 4749}]}, "1"], Annotation[#, 1, "Tooltip"]& ], {}, {}}}], {}}, AspectRatio->1, AxesLabel->{None, None}, AxesOrigin->{0., 0.}, DisplayFunction->Identity, Frame->True, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], 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"}}}}, "GridLinesInFront" -> True}, PlotRange->{{0, 400}, {0, 200}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.8812016741687727`*^9, 3.881201681426653*^9}, { 3.88120179576785*^9, 3.8812018165476017`*^9}, 3.8812019447978497`*^9, 3.881202355582611*^9, 3.881205077570566*^9, 3.8812051323915243`*^9, { 3.8812052173330383`*^9, 3.8812052281200438`*^9}, {3.88120526043569*^9, 3.881205278430188*^9}, 3.881205894002941*^9, 3.881297138875347*^9, 3.882090943711823*^9, 3.882329885496758*^9, 3.882421034632209*^9, 3.882421401528021*^9, {3.882421461734281*^9, 3.88242148255756*^9}, 3.88242320022744*^9, {3.882423423470827*^9, 3.8824235021245623`*^9}, 3.882867362506558*^9, 3.882870635149312*^9, {3.8828707388345947`*^9, 3.882870746086486*^9}, 3.883105841551421*^9, 3.883468736591202*^9, 3.8834729545325327`*^9, 3.883473321237029*^9, 3.883479308265284*^9, { 3.883479602697464*^9, 3.883479618083232*^9}, {3.883553754291521*^9, 3.883553769974609*^9}, {3.883553917370013*^9, 3.883553934357111*^9}, 3.883554131017263*^9, 3.883555193506072*^9, 3.883641264814374*^9, 3.883644226842902*^9, 3.8837084914788513`*^9, 3.883810900507043*^9, 3.8847700744883957`*^9, 3.8847718280876913`*^9, 3.8847763167833633`*^9, 3.884845144835887*^9}, CellLabel-> "Out[120]=",ExpressionUUID->"50cfca80-7df8-4250-8e2d-77fd73d0650c"] }, Open ]], Cell[BoxData[{ RowBox[{ RowBox[{"Ms", " ", "=", " ", "6567.18"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Mb", " ", "=", " ", "7482.538"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Mp", " ", "=", " ", "938.272"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Mt", " ", "=", " ", "1875.612"}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Mtp", " ", "=", " ", FractionBox[ RowBox[{"Mt", " ", "Mp"}], RowBox[{"Mt", " ", "+", " ", "Mp"}]]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Mbt", " ", "=", " ", FractionBox[ RowBox[{"Mb", " ", "Mt"}], RowBox[{"Mb", "+", "Mt"}]]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Mstp", " ", "=", " ", FractionBox[ RowBox[{"Ms", "*", RowBox[{"(", RowBox[{"Mt", "+", "Mp"}], ")"}]}], RowBox[{"Ms", "+", "Mt", "+", "Mp"}]]}], ";"}], "\[IndentingNewLine]", RowBox[{"(*", RowBox[{ RowBox[{"K", " ", "=", " ", "357.789"}], ";"}], "*)"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"Kin", " ", "=", " ", "1785.15"}], ";"}], " ", RowBox[{"(*", " ", RowBox[{"8", "He", " ", "lab", " ", "momentum"}], " ", "*)"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"K", " ", "=", " ", RowBox[{ FractionBox["Mt", RowBox[{"Mt", "+", "Mb"}]], "Kin"}]}], ";"}], " ", RowBox[{"(*", " ", RowBox[{"8", "He", " ", "CM", " ", "momentum"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{"(*", RowBox[{ RowBox[{"Q", " ", "=", " ", RowBox[{"-", "19.320"}]}], ";"}], "*)"}], "\[IndentingNewLine]", RowBox[{"(*", RowBox[{ RowBox[{"Ek", " ", "=", " ", "42.682"}], ";"}], "*)"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Ek", " ", "=", " ", RowBox[{ FractionBox[ SuperscriptBox["K", "2"], RowBox[{"2", " "}]], "*", FractionBox[ RowBox[{"(", RowBox[{"Mb", "+", "Mt"}], ")"}], RowBox[{"Mb", " ", "*", " ", "Mt"}]]}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"K1", "[", "Et_", "]"}], ":=", RowBox[{"Sqrt", "[", RowBox[{"2", " ", "Mstp", "*", RowBox[{"(", RowBox[{"Ek", "+", "Q", "-", "Et"}], ")"}]}], "]"}]}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"q1", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", RowBox[{"Sqrt", "[", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{"K1", "[", "Et", "]"}], " ", RowBox[{"Sin", "[", "thetaCM", "]"}]}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{ RowBox[{"K1", "[", "Et", "]"}], RowBox[{"Cos", "[", "thetaCM", "]"}]}], "-", RowBox[{ FractionBox["Ms", "Mb"], "K"}]}], ")"}], "2"]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"q2", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", RowBox[{"Sqrt", "[", RowBox[{ SuperscriptBox[ RowBox[{"(", RowBox[{ FractionBox["Mt", RowBox[{"Mt", "+", "Mp"}]], RowBox[{"K1", "[", "Et", "]"}], RowBox[{"Sin", "[", "thetaCM", "]"}]}], ")"}], "2"], "+", SuperscriptBox[ RowBox[{"(", RowBox[{ RowBox[{ FractionBox["Mt", RowBox[{"Mt", "+", "Mp"}]], RowBox[{"K1", "[", "Et", "]"}], RowBox[{"Cos", "[", "thetaCM", "]"}]}], "-", "K"}], ")"}], "2"]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"Q", " ", "=", " ", RowBox[{ "Mt", "+", "Mb", " ", "-", " ", "Ms", " ", "-", " ", "2808.391"}]}], ";"}]}], "Input", CellChangeTimes->{{3.882091312621718*^9, 3.882091348288534*^9}, { 3.88232991081483*^9, 3.882329919604697*^9}, {3.8823319216797667`*^9, 3.88233201456453*^9}, {3.8823484912461452`*^9, 3.88234854305412*^9}, { 3.88234898266772*^9, 3.8823489898957872`*^9}, {3.882349772876965*^9, 3.8823498106492987`*^9}, {3.882349913536356*^9, 3.882349979845536*^9}, { 3.882352244776806*^9, 3.8823524071554003`*^9}, {3.882352594851074*^9, 3.882352731832546*^9}, {3.8828688105676928`*^9, 3.882868840593659*^9}, { 3.882868887770948*^9, 3.882868888029558*^9}, 3.882871253722013*^9, 3.8828713085253267`*^9, {3.882871565786625*^9, 3.882871576449739*^9}, { 3.882871918409689*^9, 3.8828719208484297`*^9}, {3.882871973713027*^9, 3.882872001651335*^9}, {3.8828720383238163`*^9, 3.8828720426995068`*^9}, { 3.882872105260539*^9, 3.8828721107614803`*^9}, {3.882872153212983*^9, 3.88287215561561*^9}, {3.8828723524483433`*^9, 3.882872353733099*^9}, { 3.882872433267592*^9, 3.8828724360180187`*^9}, {3.88287250645798*^9, 3.882872525155952*^9}, 3.882873101207119*^9, {3.882873447844775*^9, 3.882873449878912*^9}, {3.8828735880216618`*^9, 3.882873685105521*^9}, { 3.882873806379032*^9, 3.882873813764441*^9}, {3.882873908395335*^9, 3.88287400978014*^9}, 3.8828740620249243`*^9, {3.882874508786339*^9, 3.882874547407318*^9}, {3.882874595693122*^9, 3.88287465716861*^9}, { 3.8828760380462523`*^9, 3.882876043224813*^9}, {3.883108967760708*^9, 3.883109039464776*^9}, {3.883109804553647*^9, 3.8831098760612164`*^9}, { 3.883109930009103*^9, 3.88310993701444*^9}, {3.883110127559908*^9, 3.883110192018957*^9}, {3.883110418738605*^9, 3.883110433183064*^9}, { 3.88311050393731*^9, 3.883110560164444*^9}, {3.883110867241228*^9, 3.88311086800945*^9}, {3.883468935877015*^9, 3.8834689360719337`*^9}, { 3.88355381408307*^9, 3.883553815239447*^9}, {3.883554138115094*^9, 3.883554138381898*^9}, {3.8836451071242228`*^9, 3.883645126745316*^9}, 3.883816252897749*^9}, CellLabel-> "In[121]:=",ExpressionUUID->"e57ddf1c-67e2-47a7-9bb7-4c7dc728e854"], Cell[BoxData[ RowBox[{ RowBox[{"(*", "\[IndentingNewLine]", RowBox[{"factor3He200", "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data3He200", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "factor3He202"}], "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data3He202", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "factor3He204"}], "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data3He204", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "factor3He206"}], "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data3He206", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "factor3He208"}], "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data3He208", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "factor3He21"}], "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data3He21", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "\[IndentingNewLine]", "factor8He800"}], "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data8He800", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "factor8He840"}], "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data8He840", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "factor8He880"}], "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data8He880", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "factor8He920"}], "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data8He920", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "factor8He960"}], "=", RowBox[{ RowBox[{ RowBox[{"Interpolation", "[", RowBox[{"data8He960", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}], "\[IndentingNewLine]", "factor8He10"}], "=", RowBox[{"Interpolation", "[", RowBox[{"data8He10", ",", RowBox[{"InterpolationOrder", "->", "2"}]}], "]"}]}]}]}]}]}]}]}]}]}]}]}]}], "\[IndentingNewLine]", "\[IndentingNewLine]", "*)"}], "\[IndentingNewLine]", "\[IndentingNewLine]", RowBox[{"(*", " ", RowBox[{ "\:0434\:0432\:043e\:0451\:043d\:043e\:0435", " ", "\:043e\:0431\:0440\:0435\:0437\:0430\:043d\:0438\:0435"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"dSigma", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"PsiP8He", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"PsiP3He", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigma10", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"factor8He10", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"factor3He10", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"], " "}]}]}]}]], "Input", CellChangeTimes->{{3.882090997305991*^9, 3.88209102661145*^9}, 3.882091291583541*^9, 3.882329912486802*^9, {3.8823527019837103`*^9, 3.882352892273625*^9}, {3.882353295227895*^9, 3.882353301831737*^9}, 3.882353477290258*^9, {3.8823535186184273`*^9, 3.882353550044425*^9}, { 3.882353641795863*^9, 3.882353733531116*^9}, {3.882422382967881*^9, 3.8824224035610743`*^9}, {3.882867414865664*^9, 3.8828674825331783`*^9}, { 3.882867643493663*^9, 3.8828677025473022`*^9}, {3.882867777115178*^9, 3.882867783996613*^9}, 3.88286840596602*^9, 3.882868453251996*^9, { 3.8828720610865173`*^9, 3.8828720628706512`*^9}, {3.8834793555873117`*^9, 3.883479373369842*^9}, {3.883554183332094*^9, 3.8835541842134523`*^9}, { 3.883644872973219*^9, 3.883644882406493*^9}, {3.883644922872542*^9, 3.88364496459529*^9}, {3.88364499803763*^9, 3.883645012409073*^9}, 3.8836451376497602`*^9, {3.883645322434209*^9, 3.8836453237777367`*^9}, { 3.883645393762494*^9, 3.883645396831551*^9}, {3.883645474664419*^9, 3.883645475125362*^9}, 3.883645590071661*^9, {3.8836464316198483`*^9, 3.883646433916037*^9}, {3.883646514623619*^9, 3.883646532032226*^9}, { 3.883646668153685*^9, 3.883646747837582*^9}, {3.8837212677594957`*^9, 3.883721271815209*^9}, {3.8837214164470053`*^9, 3.883721427297271*^9}, { 3.8837217956422*^9, 3.8837218164328737`*^9}, {3.883723526071858*^9, 3.883723606093458*^9}, {3.8837236376549063`*^9, 3.883723709394614*^9}, 3.883811370427373*^9, {3.883812010693878*^9, 3.883812073282518*^9}, { 3.883812115252078*^9, 3.883812134801704*^9}, {3.883812170848184*^9, 3.8838122159852*^9}, {3.883812942153407*^9, 3.883812948755904*^9}, { 3.883813620817871*^9, 3.8838136214219437`*^9}, 3.8838139573201942`*^9, { 3.883814017170335*^9, 3.883814018913117*^9}, {3.8838144598792143`*^9, 3.883814460235263*^9}, {3.883816283810004*^9, 3.883816400277882*^9}, { 3.883816470226842*^9, 3.883816524255149*^9}, {3.8847718738211718`*^9, 3.8847719515370607`*^9}, {3.88477636066495*^9, 3.8847763975566177`*^9}, { 3.884781707965879*^9, 3.8847817245184803`*^9}, 3.884782568760713*^9, { 3.884845164360931*^9, 3.884845186141962*^9}}, CellLabel-> "In[179]:=",ExpressionUUID->"7d563751-9dd5-4e27-9845-46f525c48682"], Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "\:043e\:0431\:0440\:0435\:0437\:0430\:043d\:0438\:0435", " ", "3", "He"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"dSigmaHe3Cut1", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"PsiP8He", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"factor3He1", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigmaHe3Cut2", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"PsiP8He", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"factor3He2", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigmaHe3Cut3", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"PsiP8He", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"factor3He3", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigmaHe3Cut4", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"PsiP8He", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"factor3He4", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigmaHe3Cut5", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"PsiP8He", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"factor3He5", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigmaHe3Cut6", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"PsiP8He", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"factor3He6", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"], " "}]}]}]}]], "Input", CellChangeTimes->{{3.8838165554131603`*^9, 3.883816608574444*^9}, { 3.883816662551721*^9, 3.883816721165989*^9}, {3.8838179828793907`*^9, 3.883817985064273*^9}, {3.884776389717065*^9, 3.884776413419263*^9}, 3.8847764468373833`*^9, {3.884776548950699*^9, 3.884776562316675*^9}, { 3.884776601337124*^9, 3.884776631249011*^9}, {3.884779970226635*^9, 3.884779975927022*^9}, {3.884781744711028*^9, 3.884781782884651*^9}, { 3.8847826456143827`*^9, 3.884782681919348*^9}, {3.884783339843883*^9, 3.8847833583822613`*^9}, {3.88484526074891*^9, 3.884845266753194*^9}}, CellLabel-> "In[159]:=",ExpressionUUID->"8d9835d3-d38e-4b8f-aeda-dab1a09c92c0"], Cell[BoxData[ RowBox[{ RowBox[{"(*", " ", RowBox[{ "\:043e\:0431\:0440\:0435\:0437\:0430\:043d\:0438\:0435", " ", "8", "He"}], " ", "*)"}], "\[IndentingNewLine]", RowBox[{ RowBox[{ RowBox[{"dSigmaHe8Cut1", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"factor8He1", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"PsiP3He", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigmaHe8Cut2", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"factor8He2", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"PsiP3He", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigmaHe8Cut3", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"factor8He3", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"PsiP3He", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigmaHe8Cut4", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"factor8He4", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"PsiP3He", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigmaHe8Cut5", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"factor8He5", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"PsiP3He", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]", RowBox[{ RowBox[{"dSigmaHe8Cut6", "[", RowBox[{"Et_", ",", "thetaCM_"}], "]"}], ":=", " ", RowBox[{ FractionBox["1", "100"], FractionBox[ RowBox[{"Mstp", " ", "Mbt"}], SuperscriptBox["p", "2"]], " ", FractionBox[ RowBox[{"2", " ", RowBox[{"K1", "[", "Et", "]"}]}], RowBox[{"3", " ", "K"}]], " ", SuperscriptBox[ RowBox[{"Abs", "[", RowBox[{ RowBox[{ RowBox[{"factor8He6", "[", FractionBox[ RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix3He", "[", RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}], "+", RowBox[{ RowBox[{"PsiP3He", "[", FractionBox[ RowBox[{"q2", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "p"], "]"}], RowBox[{"TMatrix8He", "[", RowBox[{"q1", "[", RowBox[{"Et", ",", "thetaCM"}], "]"}], "]"}]}]}], "]"}], "2"]}]}], " ", "\[IndentingNewLine]"}]}]], "Input", CellChangeTimes->{{3.884777045074435*^9, 3.8847771599661703`*^9}, { 3.884777215292577*^9, 3.884777245419136*^9}, {3.884781795531755*^9, 3.884781841785658*^9}, {3.884783727785571*^9, 3.8847837485958223`*^9}, { 3.884845279487853*^9, 3.88484528407304*^9}}, CellLabel-> "In[165]:=",ExpressionUUID->"913bc2a8-096a-4da1-b7be-58d029b36d1a"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"dSigma10", "[", RowBox[{"Et", ",", RowBox[{ FractionBox["thetaCM", "180"], "Pi"}]}], "]"}], ",", RowBox[{"{", RowBox[{"Et", ",", "0", ",", "18"}], "}"}], ",", RowBox[{"{", RowBox[{"thetaCM", ",", "0", ",", "35"}], "}"}], ",", RowBox[{"Contours", "\[Rule]", "20"}], ",", RowBox[{"PlotRange", "->", "All"}]}], "]"}], "\[IndentingNewLine]", RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{"dSigma10", "[", RowBox[{"2.2", ",", RowBox[{ FractionBox["thetaCM", "180"], "Pi"}]}], "]"}], "}"}], ",", RowBox[{"{", RowBox[{"thetaCM", ",", "0", ",", "35"}], "}"}], ",", RowBox[{"PlotRange", "->", "All"}]}], "]"}]}], "Input", CellChangeTimes->{{3.881038678218144*^9, 3.881038680662716*^9}, { 3.881039279562653*^9, 3.881039296173547*^9}, 3.881041219395603*^9, { 3.8823529105519114`*^9, 3.8823529134836397`*^9}, {3.882353343127562*^9, 3.8823533556969*^9}, {3.8823533902298393`*^9, 3.882353390544724*^9}, { 3.882353435880719*^9, 3.8823534363079357`*^9}, {3.882353570888076*^9, 3.882353586436214*^9}, {3.8824210727864113`*^9, 3.8824211221991568`*^9}, { 3.882423533149107*^9, 3.882423575038761*^9}, {3.882423824742895*^9, 3.8824238585635357`*^9}, {3.8828673718287573`*^9, 3.882867377573691*^9}, { 3.8828684945911217`*^9, 3.882868532676189*^9}, {3.882871786428021*^9, 3.8828717864951677`*^9}, {3.882871818799327*^9, 3.8828718490775127`*^9}, { 3.882872378262281*^9, 3.882872378276483*^9}, {3.8831099503149633`*^9, 3.88310996786453*^9}, 3.883110450535862*^9, {3.883553953533923*^9, 3.883553968210348*^9}, {3.883554198187389*^9, 3.883554227725945*^9}, { 3.88364537792879*^9, 3.88364538004762*^9}, {3.8836454653957787`*^9, 3.883645570468872*^9}, {3.883645624428377*^9, 3.8836456596437483`*^9}, { 3.883646044863072*^9, 3.883646045013956*^9}, {3.88364629695015*^9, 3.883646297124249*^9}, {3.883646497820653*^9, 3.883646507509572*^9}, { 3.8836465444485893`*^9, 3.8836465444999323`*^9}, {3.88372175612717*^9, 3.883721776578678*^9}, {3.883721821325859*^9, 3.8837218418257513`*^9}, { 3.883723611845113*^9, 3.8837236210905933`*^9}, {3.883723694374988*^9, 3.8837237339415493`*^9}, {3.883810917681551*^9, 3.883810941614428*^9}, { 3.883813327881988*^9, 3.883813337311658*^9}, {3.883813547794777*^9, 3.883813578134081*^9}, {3.883816408797614*^9, 3.883816419143138*^9}, { 3.883816485836542*^9, 3.883816488290515*^9}, 3.883817132091394*^9, 3.883817194597436*^9, {3.883817516141509*^9, 3.8838175680897617`*^9}, { 3.8838178455608997`*^9, 3.8838178483525457`*^9}, 3.884771913519845*^9, { 3.88477197204001*^9, 3.884772036298699*^9}, {3.884776568674377*^9, 3.8847765940173264`*^9}, {3.884776654245159*^9, 3.884776657299266*^9}, { 3.8847771667537203`*^9, 3.8847771687715797`*^9}, {3.884777251751307*^9, 3.884777282292418*^9}, {3.884779668312622*^9, 3.884779673901991*^9}, { 3.8847797039347754`*^9, 3.884779758284536*^9}, {3.884779980251889*^9, 3.8847799809117327`*^9}, {3.884781862767408*^9, 3.88478186332283*^9}, { 3.884781895977394*^9, 3.884781941596733*^9}, 3.884782033705146*^9, { 3.884782097332941*^9, 3.884782142972115*^9}, {3.884782582106678*^9, 3.884782612344515*^9}, {3.884782694383593*^9, 3.884782757476849*^9}, { 3.884783384297867*^9, 3.884783436158909*^9}, {3.884783756322464*^9, 3.884783792130316*^9}, {3.8848452944303417`*^9, 3.884845363571375*^9}}, CellLabel-> "In[183]:=",ExpressionUUID->"b0bf33f5-97ee-414f-b509-6dfa628674e2"], Cell[BoxData[ TemplateBox[{ "InterpolatingFunction", "dmval", "\"Input value \\!\\(\\*RowBox[{\\\"{\\\", \\\"0.007235537180867182`\\\", \ \\\"}\\\"}]\\) lies outside the range of data in the interpolating function. \ Extrapolation will be used.\"", 2, 183, 78, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{{3.88477727346978*^9, 3.8847772828622627`*^9}, { 3.884779669036487*^9, 3.884779674192841*^9}, {3.884779710854744*^9, 3.884779758610293*^9}, 3.8847799815933027`*^9, 3.884781863890913*^9, { 3.884781897325919*^9, 3.884781962745256*^9}, 3.884782059374297*^9, { 3.8847821176132803`*^9, 3.884782143681095*^9}, 3.88478262903594*^9, { 3.884782685969124*^9, 3.8847827581619997`*^9}, {3.884783405216511*^9, 3.884783436681983*^9}, 3.884783773197637*^9, 3.884783853024225*^9, 3.884845241759842*^9, {3.884845296588732*^9, 3.884845364128179*^9}}, CellLabel-> "During evaluation of \ In[183]:=",ExpressionUUID->"e62317df-4e99-4965-93f3-f40747105193"], Cell[BoxData[ TemplateBox[{ "InterpolatingFunction", "dmval", "\"Input value \\!\\(\\*RowBox[{\\\"{\\\", \\\"0.7476208117469663`\\\", \\\ \"}\\\"}]\\) lies outside the range of data in the interpolating function. \ Extrapolation will be used.\"", 2, 183, 79, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{{3.88477727346978*^9, 3.8847772828622627`*^9}, { 3.884779669036487*^9, 3.884779674192841*^9}, {3.884779710854744*^9, 3.884779758610293*^9}, 3.8847799815933027`*^9, 3.884781863890913*^9, { 3.884781897325919*^9, 3.884781962745256*^9}, 3.884782059374297*^9, { 3.8847821176132803`*^9, 3.884782143681095*^9}, 3.88478262903594*^9, { 3.884782685969124*^9, 3.8847827581619997`*^9}, {3.884783405216511*^9, 3.884783436681983*^9}, 3.884783773197637*^9, 3.884783853024225*^9, 3.884845241759842*^9, {3.884845296588732*^9, 3.884845364137617*^9}}, CellLabel-> "During evaluation of \ In[183]:=",ExpressionUUID->"2613847f-4840-4c2c-9761-2d86c484ecd9"], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJx0fWdAU8vzNk0URUBAWighhBIIIQkJSWgZ7AUFe0GxVyzYsTfsDbuCBXtD RUVFrwVRsaBiwYIVFRUbomJBFN9zNbvnv3N/b77g456zu7MzW6bsHM/ew9v2 MzEyMupmZ2T071/8826+TNx8WYWexWZAcPbQB0eGPrACttye4mH/Fh9xpvjo n+fdKf77E6H3xRS3+AN9KR7+pz4JxSv+LW4upfjYn/plqH4lwuRnBix9BBP6 zIClj5TbU8zSZwYsfaQeEXpfTDFLnxmw9JkBS58ZsPSR+pUIk589os8e0WeP 6LNH9Nkj+uwRfeQ5EXpfTDFLnz2izx7RZ4/oI/UrESY/d0SfO6LPHdHnjuhz R/S5I/rIXxF6X0wxS587os8d0eeO6CP1KxEmPzGiT4zoEyP6xIg+MaJPjOgj dIjQ+2KKWfrEiD4xok+M6CPPy1F7SoTJT4LolSB6JYheCaJXguiVIHpJv0Xo fTHFLL0SRK8E0StB9EoQveQ9JcLkJ0P0yhC9MkSvDNErQ/TKEL2kXyL0vphi ll4ZoleG6JUh+kj9SoQNv2kKlj6KDfRxmKGPlttTzNDHYYY+DjP00ffFFDP0 cZihj8MMfbRcjupXIkx+KsQ/FeKfCvFPhfinQvxTIf6pWPro+2KKWf6pEP9U iH8qJK8qxE/SnhJhw29aCOJnCOJnCOJnCOJnCOJnCOJnCEsvfV9MMcvPEMTP EJY+Wi5H9SsRJj8d4p8O8U+H+KdD/NOx/afPiylm+aVD/NIhfukQv3SIX6Q9 JcKG37QwxK8wxK8wxK8wxK8wxK8wxK8wll76vphill9hiF9haP6FIf6FIf6R 9pQIk18kmo+RiJ+RiJ+RiJ+RiJ+RaD5GsvTS98UUs/yNRPyNRPyNRPyNRPwl 7SkRNvwAWHopNtDLYYZeWm5PMUMvhxl6OczQS98XU8zQy2GGXg4z9HKYoZc+ L0ftKRE2/KZFIXmOQvIcheQ5CslzFJLnKCTPUSy99H0xxaw8RyF5jkLyHIXk OQrJM2lPSfHf9koM8svrXQT/oS+O7EOkXEkx834xGr9igzyQ9zH+T/sG/S6O 3/eYctz/YiIfhYb3S/QP/yV3L3m/RM+Uy6OAKZeT+sgPv0/aL/zf7cujUPvk R8anhP1/3D6Vn2o6/n/lxQII/vvXluK/8uBI8R/Y3BXY94Wo3Iviv+15U/yn P0P9KP6rkwdQ7POHvkAW28opZvlnheixApYesg7aUszSYwUsPeR9ISr3opil xwpYeqyApccKWHoMmNJjxconh1n6nBF9zog+so7bUszS54zoc0b0OSP6nBF9 zog+Z0SfM6LPGdHnjOhzZumb5snSx2GGPg4z9HGYoY/DDH30fSEq9wK2PW+K Gfo4zNDHYYY+ggl9pD66vngi+nwQfT6IPh9Enw+izwfR54Po80H0+SD6fBB9 Pog+H0SfD6LHB9ETgOgJQPQQubClmKUnANETgOgJQPQEIHoCED0BiJ4ARE8A 4lcAoi+ApQ/kLH0cZugDIte2FDP0cZihj74vROVewLbnTTFDH4cZ+jjM0Ecw oY/UR+jjMENfjpKlj8MMfTlkH7GlmKGPwwx99H0hKvcCtj1vihn6OMzQx2GG PoIJfaQ+Qh+HWf6pEf/UiH9qxD814p8a8U+N+KdG/FMj/qkR/9SIf2rEPzXi nxrxT434p0H80yD+aRD/NIh/GsQ/DeKfBvFPg/inQfzTIP5pEP80iH8axD8N 4l8o4l8o4l8o4l8o4l8o4l8o4l8o4l8o4l8o4l8o4l8o4l8o4l8o4l8o4l84 4l844l844l844l844l844l844l844l844l844l844l844l844pce8UuP+KVH /NIjfukRv/SIX3rELz3ilx7xR4/4g94n+gB5n8PMeHCYqY+e98/9pa8zPj8T /xDBZuh8RvxDBBM93ZaWs9gMnd+If8iRlrPnOSMjFpuh8x1pX4je90Lve9Fy 9vxH6POm5ex50MiIxWbofEh8bgG0nD0vGhmx2AydHw3lFJuh8yT2b+HzM/YH YX0B+4ew/oD9RVifwP4jrF/YI35hfxLWN+wRf+wRP7B/Cesf9mj87dF426Px tUfjif1p6Lz+H/+NMxpfrK+Q58l4YX8U1lewfwrrL+5ovLC/Cusz7mj83NF4 uaPxckfj5Y7GC/uzsH6D/HVUfzH8qH5A7DlI/8H+LqwPYf8X1o+wPwzrS9g/ hvUn7C/D+hT2n2H9CvvTsL7FlbPjj/xrWP/iyll+iBE/xGj8kT+R6leGH9Vn yPgj/Qz73+jz9sDWR8Yb+eOw/ob9c1ifw/46rN9x5ez4Iv8d1vewPw/rf1w5 O77Iv4f1QTIedHyR/3Iav84TzI5vABpPpC9ifx/WH7H/jytnxxPpk9gfiPVL 7B/E+ib2F2L9E/sPsT6K/YlYP+XK2fGVIXmWofFG/lPg90WCWXu4nB1vrL9i /yMtd6aY1deRPxLrt9g/SfsjRs970edZfV6B9HkF0ucVSH9XIP0d+V+p/mr4 Uf3QMD5UH7UCttwe2PeJ/CH/JVfOjAfWh7E/E+vH2L9J9Wtf1D9v+jwjb1h/ xv5PrE9jfyhXztjnsX6N/aNY38b+YKpPG35UXyXyqEbyqEbyp0byh/Rx7D+l 7YnQ+0L6PCt/auS/Qfo69zwrfyHIn4P0d66clccQJI/If0z1ccOP6rtEHjVI HjVIHjVI/jRI/pA+j/2ztD4xxay8If0e+2uxvo/9tVjfJ/5kKi86JC9Efzf8 qH5M5CUUyUsokpdQJC+hSD6Q/o/9t7Q+McWsfCB7APbfYnsA9t9iewD2T2P9 Gfs7aTmRj3AkH+FIPsKRfCB7AfbvUvuCCNUnRu/7UszKB/L3cuWsPCD7AfZX U3uA4cdhlv96xH894r8e8V+P+E/qF6H3xRSz/MT2A+RP7Iz8o8WA9jPkLy1G /mHsfzQq0TPnzWLk36b2iTLqP2TtLcCeV6l/u/IvTkHvY0z625es99V6trye 4f9NgODlf+i1pPgv/XYU/10fnCj+w484T4r/zgcJxWx7AtSeANUngD/NLXNj y997sZj6N1F9OSK2/xxm+s9hpj0OM+1xmKGHPE/a57Dxn3Z9KG757+tbAyhm ++OL2vdF7fui9n1R+76oPV92fDmc+O/whsgoZumXovalqD0pak+K6JWi9qWo fSmiX8q2Xyxn6eUw0z4pJ+0Vy9n+9gxmn+cw018OM/3jMNM/DjP94zAzXhxm 5geHGfkimPZfzbbPYaZ9DjPtcZjtvxb1V4v6q0X906LxCkXthaL2Qll6ikPZ /veMQO1HoPYi2PlaTNZXEyCYbU/P8g+vX3JiP31M7alMPENnvD6V6Jn1zcjC sN7WBIL/lttQ/Lf++hT//Sug+E9zW0Xs83H+FLPxFw7s+sphpj4O/3neVgjM 8yHebDmpD4RsfRQb+s9hRt45zNADRI8QUMy0z2GGPg4z/CDtkf5x+M/8vORL 8aM/z0sp/rNfWijY92n/vVnMrTcMf2i5DcUsPeRcIaCYpccb0eON+uvN8o/D f/bzaUGofdJff9QfhLn1iu0fkQsBxWz//FH//NH4+rPzi8Ns//1R//3R+Puj 8Qxi11MOs/QEof4iXCxH/Q9C/Q9C/Q9i2xcq2fERKtn6OczUJ1Sy9XGYoZ/U R+gXKln+cZiRP1IfoTed6KsCihn60lVs+xxm2k9Xse1zmBl/Uk7p1bD1CzWI Pg2iT4Po0yD6iH5I+q9D/dWh/upQ/3Ts+KTr2PWGW79Z/oSj/oaj/oWj/oWz 6396JFt/sZ6dX8V6drzSIxE9kaj/kWz7KYDWf/Sj6y/xJwrZ5/B6h+3r3PrE 6lNS5K8k88WWljPzl9oTDfpHMbKHFZN+G+YFd15gz/d6RB+Jn3uN9sMSNJ7V FDPzn9uvmP2C7ncmQMaL2e/pfulMMXvedmDPM7Q+0f+un4w3eZ/D7HndAdlr Hdjy//DLgdW3SP9JOfHf0PO+AyufZD+k+qYQrZfeSJ/E+603oscb9debHR8q fyKK2fVeiOwLuNybPT+R/bY5v/+y4+2N9GVvVO6P+u+P+u+P+k/eF1HM9M9I wp5HuXI2/tkblfuj8fRH443Lg5A+74/0edxfsh+LKGbPN/5I3/dH4+uPxtcf 2RvQ/ipUsuPJYXY8g1B/g9hyoRL1n6wvIorZ/geh/qPxwfVx+xPzvlDJvs9h hp9CZG8WKln+CZUsfznMjB/Zj8n4cTh98+9LO9Uyihl7EGmPrHdCZH8WKll5 4Ohhxi8d3RfiMENPOrofxGGGnnRkPyfjRfmpQe2h+ytk/ybrC9aHsP2O7reG XzGyb9H4ahMDJvYXK1rOru/Vejb+gMRX29Fy1l9eoWfoMSJ+TREtZ9d3Ur+Y lrPrbbWeve9RoWfXh2o9G49A4rUltJy9D1KhZ+SJK2fvh1ToGf3zP/RZof2l HvL/W6H9pB66r2KF9vN66L6KFSvvXDnbPytWPyb1E/mm9i3CTxyvje/nOiN7 GtFTRbSctacJED3OiB4Big9xRvY3AaLHGdEjQPZpdB+Wxj8Te48I+Y89kf2J 0KGk5cz+zZWz7UnQeKH7q8SfTe1Rvsjf6oPsT77oPooPy68cMo5Ktn7aP1/U Pxl7HqP+YmJvl6HxCEDjIUX9CUD9IXKopOVsf6QoHlvB9of6Y0n8NblfKqSY PY/Ikf1IjvZ3OcvvYhRPTO9/VlPM8k+FxkeF/O0qRE8IoieErY/eZ7SlmDl/ 4/uPJB6XjF8xig+m9xtJf4n/zJZitv861N8w1N8w1N8wNP5hyF8XyZbT+3vE fkTu/5gY/pag/aEE7QfEv1D//4Or9ez5H+8XhK8C+jy7X5ToWftZCdovcLmh PaL/ceXs/lGCyqvR/mHoP7XPlaD9A5dX6xn9kitn95MSVF6N6Ldg9XuMib+D 0mvB6rccZulD5cSfQvR5rpzBXDlLnwWrL3OYpQeV4/2I1E/9Nw6sPYdb79n9 x4HV3/+DBWg/cmDtPf/BArQ/OSB6HdD+hMsFrH2A9IdiAdq/8X7mgMZHwNo3 uHIWC9D9VGfWvkL3R4P9g9u/WPsc1jeFSD8SInsfwlx9TP+5ctaeiTDxR+3l 7bOsvdkb6cfeqP/IXkv8UVQf8Ub2QIS551n9yhvZLxEm9dP+ov5QfayMYra/ UtbexGF2/P3R+Puz8ss9z46vPztfiD5J+4fa5/Qxtn9ByB4mZ/tH9T0TIJi1 l8lZe2axnO0v0Q+pPh/ErkfFaP/myll5C0LyhjD3PqsPy1l+FctZeaPnA/6+ ETM/6PnAMB7UXlxGMWufDGbHg9qTDeNF7b2V9HmG3/R9G/o8s55hezWxx1H7 LdKnsf2a2u8M/aX24DKKWf6r2f5S+7SBHmKPpvxXs/QQ+zSRX6rfGspp/TYU s/ZWpN9i+zj3PEMfth+ko3gxEv9E+Y/OU5h+rC8Teznltxbxm9i/DeND7OmU 31rkf9Ag+4wGyYMWyYMGyYOGLeeeZ+VDy44Xtg9g+z/3PHOe5c6fzPgKNcg+ o0Hxdxp2/nD1sfIUiuQlFMlDKEtPug7ZU3RIPnRIPnRoPUH3o7jzLisvOiQv yN+A/QXE30D5TeKPTIBglr/hiL/oPhQ9T9vQcpa/KP6Jns/r03LW/kPqN/C7 ZwTibwTibxjibzjiL7rfRc/3ZD0g9iID/cQ/QvWPSLQeRKL1gLxvS59n+R+J +B/J9pf4a8j+Tf3z52h80N/+X/uLh2D9w8iI1T/w/SbsjyA/W1rO6iNm7Pyi PwEtZ/UPQ34Eej432K8oxvefqpF+YmTE6idm6LxuoIee583Y/ZTQT8/v1XoW 4/tR1UhfIfkm/Onz7HneyIg975ux8sOd79l4CCt0nq/HYnzficYz2ABbnw16 vj4tZ/llxc4ffN/pP/ER9ViM70PheDFyf4vy0x7pE/VQ/Aa6L0XoofyzR/pC PRTvYYX0MXtk/8P6gwOy93H6Snn4eqc6vD+K5ZcA8cuZXS+xPkHtgyWonNyn EKD4PxQ/Qtsj/ET3r6h9UfC/Mb2/RfjtzvIX+/fw/Swcj0L6T/mJ7m/heD6u Ppa/7kh/FiD+ovtdXDnLT3fEb3ekT7uz5xvsX8T6H22v7H/rfxjT+1OV9HlW HsQsP2m5DfxPjO+D4Xga7nl2/qL7YTjehtpnBfR5lt8oHofYayl/0f0x7B8l 990o/8Us/wl9VJ9EmHufkQeunJUPMbrvjOIx8f0zHD9E4kOpvKD7aTiek+b7 8KfPs/qtCMkXur/GlTPyhDG5/0blUYzkjdijKyg2+r8/7B+m5SaG+tF9N6wv c8+z8ocwfb8+LWflzQetP2TftKXP/8WC/43x/Tkcb0Xop/KH7tNhfzG5v0fl T4LkzxfJF8L4/h2Jp6XygzChn65PyH+O7+Ph+C8ynlS+0H09rpy1/yDM1c/K nwTJjxTJD59XmPTn7z9MgJSz6xvCNL8LOW/I2PWJtmdPMXM+xPf9sL0DxyfT 5wW0nMFc+4w84Hhmcj+RypMUyYcMyQeKf+beZ+VFiuRFhuRFiuQFYRJPRNc/ KZIfGbt+kfhEKi8Ic/Wx6xXC3Piy9rkgZA8LYu+vcPWz6xXC1J7El7PxwnJW 3mh8lOGH7WPFcqTfIozvNxaj+43Y/oPtaf+xr6H7jkJ0vw/Hp+P7j9h+hOPX uedZ/QvhaQqUn0LO8h9jfH+SK2fkCWN8v5LQT+VFgc63CrSeKND+pGD5i+Pb OGz0f3/YnkefN6OY2X9ouT3FrL0GYXpf0ZaWs/HtyN6HcQ6KX6X9J+uJiuU3 LReh/vDxpgz/8X2EHBQPS96n813F8hffX8hB8bNk/Oj5RcXyG993yEHxtlw5 u9+o2P0G348g9kjqr0bxutg+WqxG8x/dF8X20WJ0f5TD7P0RdJ+0WI3mO7pP iu2jGNN8u460nJnv2F6KMbnPSu1nCFP/NV/O2uvVaL4jTP3hfDlr31ej+Y/y TxUj+y2530rjqXF8kxbNZ2IPNfywvZY+b0YxO5+1LL+ovdQOvW9PMTt/tex6 TN83zMd0Hbr/o0X7swbNPxSvTezFdP7p0PzTIv1Ph+Q7FMk3ud9qGJ9idL+V w6w8I/stxvh+K61f8L8xji8oDkXxgmi8SHtU/hCm9lO+nLFP4Hg3IbqPSuPl 6v9vTO2djrScmX8cZvkfgfw14Yj/EWy8kDyK5T+HWfulGbJXmqH+kR/ZD0pQ vIAZOv8Z8iFRe4YZki8jI9beaIbWXyMj1l5ohs7zRkasvdAM+ftJnKGJ4a89 otce0WuP7Hn2yB5nj+yj9sgeivINTXNA8Qv2yL6J8g9hexrNj0T67476547s T+6oP+6oPZSvh8ST71WgcsOP2k9IPDDy51N7gx3FbP/EqH9iZN8So/EUo/ES o/6hfDbAy9Hf/iL9ntP32P5IUH+QPsphdrwkiB8S1B+U/wV4uf3bHykaPxTv zekzLP0y1B8ZK0+cfsCOD8qfgvWX/+RLIfqF4VeM86WgeG/8PQasj3LlrD6K 8o8IUf4RfN4VovwjQpR/hL4vopidjypEL/q+Acl3QfiHz2vkfEj5ifJ50PMY GS90HktH33tIR997SEf5UtJRvpN0nK9Eg+LLEcbxfCQfxV7+/MLeB0H5N4Qo /wY+rwhR/g0hyr8hRPk3hCj/BvYP4+8hUH8vOa+Fovh0HZJ/HcpfG8Lym6uP ja9H9BWjfBnp6PsNeP+n+ThEtJzll45dr0k8JJUv9L2GdJTvQ4jyWQhRPgsh ymeBzw94f8f5K4Qof4UQ5bfkzi/s/YZwdL8hHMk/+p5COvqeQjr6ngL1t5L1 PRL5x9H3EyjOov5Vdv0RsP2h+xG5b4DswThfGb7vj+1/+Ps71H5mAqSczSci RfuJjK0Pf++G2ncM9eF8U/g+P84fxZWz9jpkbzBC+iL+/gy2J+D8Tdg+gPMx kXK6XyN9lq5HhL4QxD/0PRisn+J8RljfpPHMZL9E8Ro4vw/Rj+j+gPQTmv+G 9Bd9DwXrI+T7J3T8w5C9Wo/82yh+oRhYTPOp2NJyBtPvazjSctb+D0ifQZgr 73c8I3BElhCsvgWPvfUYWH2bK2f9Qeh7COT+TRyPmfr/Ew+Nvk+A/cM4HyRX zuqPzsj+iuLrcDwdzu+drkLPo3zRQhRPlIPuI3P6EWtf1SP9E93fpfkeBBSz 9g4kD9x4M+2lALv+pqB8ukPQ907ofVjiH61GmOhn1bSceZ/GG5AfyQdbSMtZ fzvJd1qCyom/Hd3noeX2FLP3Ywz5btqS82t9JB+GeIQwOS1n+y9g1yvq7yfz GeUPxfoKvU9jTzG7notQPigRu/5xmI1PI/5eEm/li+r3RfX7ovpJfDHvL2Pz RRH/YQ1D/Wi/of4l3n/C5p+SsuOdLvt7fiwJpJidfzK2vRRiX69PMXs+kiP/ KLoPivMB4v0jR8n2J1bF8j9Wxa73gPYDnO+O2y+Y83Mxyk9H4iGTDfReD0H9 NZxX2xrqs9EiezDCOP8bd75j7zNpWPnm3mflHZ1nyfmbyFOKIR/NXsN4l6N8 B8UoPxvZr2j+DJSPnduv2PjlULTehrL0FSPMvc/m/0b5cwD1NzGcXd+o/Ymc h9B9/WKU36xYj+zXKN8ZXV+dKGbt23pkr0b50Aim9j6UHw3n6+H2d1Zf0aPx QhhwvnRcP7D2MXkU8n9Fsedn8r0ien6PYvktR5irn9UXBche4MyuDzmOcHTr /ZgL/eX0eVY/dmbnJ/c8m99Ijvypcrb+4iD4Gda2tpNOBoOnH8qSPpOz878Y 2Su4+cv6X9Xs8+U4n4kO+ZsM8b4W/Pxh/bHhaD0PR/exw1E8PPqeAImvteDl nb0/qEf3sSORvwp9P4B7no0v1yP/UiS736WT864JpZeNhyXlxH+H7P/c/GXm B46HxfZk3P/0SLY8Bdj5gvOV4PsV2P5K7V4Geuj3aMjzMrYckL6E9yOsvxej 9SkFlXP0MuU2EUi/j2TPlz0j2PW1GJD9Ddj1VYjygf4nHw7KL4P5gfVpHC9t hPiPv0+J86MZIf7h7yMWA1sfPZ/a03Jm/FPQ9wTp9yOcaDm7/gLbnxT0/QmS v5H6X/B6DGj+EHsmud8qR/eVUDwGiffYS9br+sgfWA/Fm9mD77/t3Qyiz//l Z92/WEjyF5oasJStnztvsfFwUnQeMNh3gT+fMfWlkPgJO4rZ80Uwqk/F1heL 9CPueZY+FUtfrArdX1KjeAdDvl8lf55i/U8aZJ/SoPmlRfkGtci/rmXHl5uv 7P6gZ9cjvD/K8fcYHRAW/K3vK9mvXNB9ryB0npSzz6cY9NF5MoqZ9RvfFyLj R59Xo/U+FM1/ZF9MR/sXyb9L/dXhyP8eyp5nufFjyrn9hz3vovyGxej8WBzK 0s/t/wwuDmLpK0f5SIrR92ko/0j+RfR9UA4z/UkBdN8KjRfNX2zQX+l6Re4L If26VhRaP1D9KSjfLdbPs0m5gD7H3q9F37cm9mWarwXZizl+sv4LlD9lSBRr 38HfH+X6B+PX1o9caHhfrkDxNih/Jt7/ufnCjifJ/1dJzxvs/Rt0/wnzh/jT qPyg+5R4vcL53YUoPzfXf4ZeEn/QnNdnGH4KUf5lbr9m40NRPmZsjyb5yMT8 +fqPPOcY1pcUEo9i4GesYb7eNMh7ogadn9H3d2j8RzUdX8Y+mI7yLaSjfAv4 vIvPd4DyMZP5R87v6RJ2f5Ab8l/0NdSXqWX3m1jCb1uK/7T/1dCeE7D7R08/ 6B+32PvxFYID/7YvIOszif8x5HfL1LLn6UzD/cYSAz+IPh7G+18Z+eX60+TT ug/7T/DyzepjSN8l8UNpUspP9rypY/fvTBLvQvLxhbL6SAqZxx60P0z910NY elL0bLlNMLt+EnsN2R+p//ETHS/WP4O+X07uIy4i/TKGuRDRpXQL//2Dv+Mi pvxj75/g9dEbnV+VrPwkou8rkHyRZPxiUT7JYjTexD9Lxqcc5UPk5Je1V+hZ +owq9SyuZr+PmyNC9pZglI9cjeorRPWV/f0eL/HjgIHPdP1H421kiHeh428O 7Ps2KF4T3Uf9z/cEpPD438cDSf5JKSt/iShfWQqKxzNC8zUT5VdOROc1+j1m g7zF4vgolD89E8WjkfMY2X84+WL6z603DMb357nzBXseCELjawYFdVTOeu78 ETk5wHTgfhRPSs6nZD3m5p/YoL8kd/wZNTcG+YvkUci/E8XKbzk6T9P4X7Ie YPsjls8KVn64+chgTt6Y9U0oQuVlenY9QfHJ11E8Ms1HyM9fpj/FKL8Evq9M 5fEx5S8jbzlK9vyI959MLYq3DmPX/+thhv1GQjGzvyaGs1iI7InXDeff14by 72FovCpZfxSxBxP+pahZfaRWFNs/IbIPcfrBmeGSAXe3yKHbwL0f8nF+lXQV ex4m6x3hVyaJjyZxLFbI32bBnu85zPrnkb2ZxGfQ8Qxhn+fkn81vGI7iPcPZ +cGd/9n9RofshUgfIf6XMH58WHuPy9/+BvLzj2n/OvqeTGYwy2+unD1PovUc 58frifZPm2AkD4b8ehWk/x/1rP9DzD6fLmbPa+loPsTq0P6Pvl+bombrw+s/ t34x/ckxYceTWx/YfIsG++NYA+bkn5lf19H3WEh+fCKPmei8TPwVVF51yL7r ivojYOWP5Ncn/JKHIX5ZIGzGng85+hh6EhF9QmQf5epj3zen83P4TuF2/471 4balfkhAIq9/GRl+d0SfzB0easEp7sjI2FrukLPIr8Xdmnw+y6tCqwOOJ0Lo +SnSs+EVpTdvP3OavsxKqdHBYcP+dnfJ4iv9VDqQ1PMraXGE2C0jYaFr06Tb m0m8QhSUfxtS4bpcDoMHmKxd/8IYEqbnfnuRLofPm2acTd3tBUeG7q9+uUAG 1U2avHILUUBns++d5zeRwsofB33edA+BIIeB/a6s/qx/3WvQhLqlWqgs3Jeb uMMd3gzLf+5VqYXxX5J3t7nmCd8bGlccLNBCvbqSa/PLfeDa8rbTB1+NgAk9 cl6/G+MOZ3+807cfEAUV+QFT4rl23M6bGH2d9l0/55B3TJJQAV5PN/ksvWwD Px6tavOqtgImnHpTcGCRA6yKtb10vbUc2rimGq87KIQeCXONPpvIIbfLP17r DgfAoLNlzfqc9YZ5nqWz03dqoLfHinebvntDpzf7Du9aroF3QQHNf4b5gU9b vdWOJeHQY6ubL6cSQNeG42fU+xIJE+P0O7vU57+vOT1AIRh5hMiLDMLP353z rg2vH1qtW3L36Ajy/RwVjB27eI7rKj7eP2rRy++Sh/z3qYq+TD956B/++05b lqaaXNvAf+/mxNUbLbXf5eD6fu7MHQO4k/D9iZZxvzh5qgr9NuTRS33VUMtz Y0IV8PvP77n+Ynxi0vcgGbQ5fHB5Yd9gMI+d1Dzukhw6hdz6Oaa2J4ysUSBt FCeFLdHdR2ccVMLtQostedz61GWnsFaHLQo4PGrozpDZvpD2rVXNsschIP1y 2WPkchdoVd2pVliCDl5VFUYunSSAZ12XNhvZRwdV+w4KP3LtN6zVduyl1HP6 1uWRlp6XpBD+qZufJEgJpaPPtrq0n88nG/PiVvC9UxLIuzbbqo2PGkLjH5SH H/OBu14HBlR85ORpaeWRCbt8wKeVW067ZhowGbKqnmdtX6jqdSnHx0UD/plj aofM4/XVN7YzrZfPlkO7eWbKueNsYObAEz7lCXy+SK+1D51t2soh3aX0WI0k X6in7rdveFM5KOp77m+l8IO8AR3jT6WQ+RoAXnFdFBkrn9LzRa5u/6uqApGB HwAx1YvLRsu8YMXrRhcaewJE9swq2b1ADg0HFI2S9KwD3xrFrBiZy/ujAlRe F3aXySFt/em9Ty1dwa7lqpRSbrzzXK8timsmh6EbLoy02UDsa3Jo+jVmntgm Tz/xhcgoeLcWMq40OLyn/xe9wqNUUFWmhZ+x+3J3uHrApeABjW591MLtDf22 P39tA0sa6Toq5uhgcZqrxMLaAZoNfXXu9WwdHPezajfGxwnEu9as6jZZBzPf xO8b900OH7SC1MIsUyiraPTbcrwcnjcwO5fv6QBvDPPLoUF9eeuRDtB/QZ1A SQmhxx2ES5InnD4hhxb/xF5MvuoJtwo3mnUsCYLFfR2GTTgqhb094mKi3/Dr G/x+d2//anK+CoHQOncs1Yf9YHROcdvQB2Q/qtCLJibsr3irhfmxZ1WTN4lg cIf7d4y68+e19if8shp200KtI21lrY4LIWdzfIMupjqYM7JV3L23/Hxb/kWU a/mF/5751GatLR4bS+H37MgLSXdDoHVBlbllXgBsvj76wALg4z+9fjdQzKij A13Ic9Nep/h4T7KfnBiT5Rt4JYz6C/bNe713B+jA7InLyfYF5P4pr38M++1g OaFEC3G5ebk31Xx8EtlvSkc36jxwdBCcyWjrJFzrC7YfgqtiFRGwO/pw7pX9 vD54u9RhzMhrgZAksZ42OVQFAVN+1svIDoR/nIv6n0lQwcN5GZ4WC/h4Auce zzY0NhWD2YgBxh8P6CE2t17LY1rSfoW+UebDhfcbymBr+97R3W/J4d3u0O0b JTLondWnnShYDi79vy+ouSoQfvZrN6LTKRWEH/v5PfmAEFZ+zZoqr6GDGRub DjBv6APJ3+4bZfeNhJelLdqOqSrR926/2KyvuQ5sS96bXc+uAy43K0e+naSD F8GtJdtmcevOq1MbZm0FqKh7/7qt3gsujYxucSWa2CdN4PXiZabPnAzfQ2hu CdvVzU8PjdKBR1js0PaDeH+KUR2j1ulziP0vCPzXy6dbzgiEOQctzr6/Hwwv q5Ua6BAIvjtD++0AFaS1OJLZrkUgJBh7RdXuqoKr5V2CItYGwDNBg0lV7bWw rPFW+e3RATBu39SPnedq4Z+kjnG1rvH3G+6drxFV64gMGu3YG9/gqBwK6+Z8 +jhOBksKjTOaTuXvd953uJSeFsr7Q+tETfUeWyqnuOmNE0lVzko4YDKw5cEA fj/OC6r1auwqTyhpsb5nv7VaeAl1ne/biuGl0ZCikjAtPBvQwnn5Xh/oGBpl GrMwAhZat01deS4IlHHi+y9PS8C5T2sL9zM/9XZvf4xJ4MarSXZvSdPympDX se77ScN08NtG2vBDrgSsbZ6sigwJhdUZy9o8WiiCZafOXhufDHCtMvJe2B0R tIq7oQ4bDrDX/qTT9qaEfk+YnXY470UdOWQ+7pkm8Q2g+tz0Jo4NLm/g7aE3 x4zZlNlGA9Y9/Lwf6n2g+3frvKG+GhDdky6bMZvcf9bAurEL7a9Z8N+vvzFy pVrXjrdn9t1fXhLX2hce/X49Kn1nCIwsb3f42RIZOE1tIV88VgntrPsPM/Uh 8mxF14eYgO4xM2IATsO8Vkk5vD3xadEyZfxwfj0+edr4lqWPHFqNun3Vb5AE vn89cnq9uxxqvqt7+cErCXicsl+VMygQNuzIvL67qwKOJE6ua7rBFn521baU t9PBqjPWV04fcYTEdkpT66Y6mLfw7WGviiA44TlzqUrnB/Dky/BnQ9/pu4+Z dWvuHS3UVMq7LavrCY9PDWjZOksLyeL2V17/FEPehr3zcz9o6Pm1ydYRMR1X +0HlLJOvlX7E3quCjmERke8m8OvZmfb1jc7ZS6Hiy+bndov4+PSgorv3ZK9D YeCzfSf8evrDr9E+92/ZhsK3d81MRu3/P/bEBBOrJQ+kkL6x0jpPyccXdUkt +nh0Mr9+7fGuvDRohxY+WJku+mbnCd32f/797KAWFu/cX7y4vS88ez6i646y cFgmWzdQck0KMxoF2e2NV0P7JzH+e/r4w8k7CWaH43XwNSsroW5NGRSdkdpM GCaHwy/dt7T5EgjT1ts77eH0/J7n0nbCAw94mWu996FIB6XPlZ/NjX1gzCrt 40XiSKg950eB+4HaMGVPddmtcB10EXWSFCVJ4e2C1uWmL0LoerHjk9R4yhQd 6M3DJy1pEQD3xxk3nVyLmz/Lhh0Zrw6A2OzNi02kWlDOmbXZcRzJu+gAR45s O73wE68/FLa1CfMZIIfb5Q8qX+UJwKYNt1SnyeD6cUmPU3dlMG3x2wErupfr wxcu3NrvMXe+1Z9bn82dn1OXNXw/0dEYboSJGpRPl8PYHjfcB/W1BRjgOyhC KIeFtUO8L0d6w6XxPSYOacfbJ5/uFQS5SAJhYg2R6ckuSnAaWtqrzQxvOPXP uCsRYzRQa+eIIad/e8PKj/MTYxpqYNiXUSUeR/1h2gCBu08X3l65cmLl0yA7 NXjuO9mg+3cxBG7O00Wa6uHG+mYLqlfI4fiVWRYdf1Xqq+MfvT8cwa3z5cP1 x3eL4FCzicJ1Gjk4dlp2vGiYFwT0dry97ghvfzznv7pboz2B4NGqdFnzpGDo eMPDaGErCVg83Jl9o0gNT+NkWWfnSCAx3cZPc1ANz6fIO8aulkM8eO5WXLun F0QEHhy9Sg7HgsYkbBWW6+NaVT45zeGZ6RW7rE++1fuMP9Uh96Ecppnutcz3 8YBBswZK0+/L4VnEiY4RfXn75dGLzruaBujAd3CH1Se8XGBSdNjo95x+M/dg iJd+jABabz65ZrmvDoa+nb55Ede+NKiDplLQWe/ba19a1RI5nN2eLzi+3xwi UwYWZbyQw/Zh29YZ2dpApk+zmh2589q5cZctht+3gYumQXdm/ObXC4DER8vF cjD5rMiW1POGYb38K+068vG+AtGHwsG1bCDp9Yay4JY6EL+ckuUwwQG2e96P F7bSQd0wF+8OfkGgqSObuGK3FNqed7nbcGgQNO5e2MbmaQBkpYU9uXMlCBaO Gr+he/NA8LlfbhxcSwaLLOpEJy1XQu8yD1GWSAJj79WtfsDp64sHVxT7eXpB mqr33ePTtBB1MSXCNt4HGvn3XFdvMLc+tGj/Uisj/RdDjCppm2VrEVwdJ+zh zq0/VT2bK9Wjy/WW7buGZQr4+R69XpBX8gig4Ett+8DTnpBWHWQ+OYffn3dZ jWj8qYMOmr7uPLCq2AvuDEvqqnYEeNf7kGTbND7/hF/3f36m/JDB7dvxNYpi FPDm+ZW0TvWC4NqKaPPPNrw9tUv96pkPsuSgGrA79NJvMZwb2WNP8tdIOPR5 Z+ZY7vyjOlL29t55R5go6tap6jJ3Pv1QcLf9dkeIfrzpVt/LMtBKxwyveBoE J1/alr4sk4HZnImu0Y+CIChgaZtvk/n7iL9rW0yRPPWBGsLHS8Y+DqH6dOXH rJJXNhp4bFMgqvHBBzZVXIh9cjeE6tOLaxfGNhitg6vi5e1+RgWCUmjXpXoJ /33raFH28rMpKrjb+4VvYa4/jP0c1PNSGz7fgJfzwa+FXXRwKm3cvTPceWJk inDrhEVG0CL+YfRPTn/btHh6u4cHDutbThI2jCnk9IM60sBXs4r0ZwdO91nS QA7+7kZNY2uIQP3wTueTct5+9Dx4YsJC7tz2rPaeYzWs3+oXnPb8dc86ENoX Ww83LlTA7IcjP3xKlkNnUWeLpDBv+Fh/jmspJ/9NFwd0Hr9aDOmC3HZPRsih ecNGUxt7+8DssZv7T4h6pLf55+m00Se0EG2wFx1uvah2/XIl2HRq0rzeGpGh fS00U2UY12/gB26SY/H2VWHwZF6ta0o3CdR4uMHMcz13Pi7Kyeg61w++XNW3 N4dwEL7fMrzGST94k3hhxsYa4WA1aNnepR/9QK2QfZ9+hf++74lHU6a8PKsF WR3f1MU35FBnfpNfIZ2+6d1Oes0urOLOWfsXiKUbvugPriyJ9+PKZWcPWCZv +qHvfnTQNkkN3n7aLavxnU9egeDu8Lz/0c1qOLcteo1UFQgNBs7MnJasBsXe jEktOpL4JzXoazS97pvF+9cOdTqf2FLgB6cbtbLYKebtq5ekJ95djxNA2ZTK LVd28PbD65nZj06elMPA5kNMo3QuMC+ljenNTDlMP1bgbLnUFYbfjl8bb877 E3Yd6GHdYa8c+tt0ff3msBNcr65pWhmggA4D93xa5W8Bd78OXr++2hdKB33a dzc9BIzuFK9aX1sC5ncuuo434+TzyT/j9hzxgw6XvYNsdSEQsVK3K8DEFy6G bNiZGxEBt7a3HptmHQD7lo4b58ztp5ss+02tP0QOMU6bt8WFuoD58DqvM3vJ oHa3Vw9nvVHCrFXzZrsGy+Dr4kKJplMwNG608dLIn3IIff+od/n8cv3UN14r vfbIIevsfpE4zhm8LrvOHHhFDt6jSpq1nlQDjHtb3z/Mzc+3ByfVOjy7JuzM KM379VUOJwdtyhm00wTaKKd7evbk1vtDnyM7jHWDOkNGvQm85wclya1efm0f BqtOmgRmH+Tve5W+G52Zv80XFh3foTDfEA6nr73/FipTwH7jFxvegDkEjunr dFShgEWjT286dsSExi8csk57lZ+sg4S6LpFndwfBnBCH1j7LSX4sKXR6Kstf 0pX3pyVmTZwQu0wN9w363eGjkzJmmPPfJ6hx42P/jgt5f3ZO63sHirj6L9ZP m+/x0g5O+9/bncmdBz2dsvqv7sLNh9yiLcOHcPrlmq4/BevE8GDW6J8LL/H5 a28f6torYZEOBu7enlkcLYWXh6KXbDqrhFObd570rhsAbfpN01+0VEFRa4ss 7YEASJjiPTZ6CJ9PZZPgycw1XH/297bv2qEHt/83zHycv0UFzs3zd6/4ZAsP O7V5aM3VnxOf3sgmQgo7d0W4nukbDEdL3k6Y/dIfAr7cfO6wQwV1WuTOeVjt BjZr9AvqN9RBoeCHWNmkQO/Z5sDS/NdaiJnQNeefLjaw3rz5tL1zdOCgitKZ TK4PM79Msj83XwfBGZcbRC6sAfOHfrA/15/T9zLvyJbkS2H0q0rTiZeVcOtL nX9K4sUwsv6rqS+9ufPvQ/lHSUPuvP1j+pHxX32hbPeV1yvKfunNj1snJzbS QfL7Cda9P9WCp8K82/W49bZmL2WL9Tp7GPLmkfszjt4TV7bsm+LpCS6PrKvO lGshdOll+6izYmiar/68ylQLmz8Y56kmuMEqh3CzSu48vnvxjgFF86XgmBY5 foJNMBy6dNdvzY56MO3uVt8OC3Sw54Kua9YpB8jZXTp162wdDH57uv36fG79 kfeaV7RSC492vnn7YIU/zHryct2MtypwL8ze1X21CLIbNlwbuUULnm3GHEqr LYZfc1s/W/xdA4ofJ5vnyANgVvuafaLfBcPUpue6emSaQ9udvW/3kHHnlYJd vxLM6kHDWxPqDGitA935ENf8AAeYNzDds0U0pz90qPgh7nRY/8hyR/1s7rx9 f1O3pJzjrqDK9JnU3FEHbzymP91eZQdjbOoULGirgyNjzft/Oh8I8h0H2lZy 66D9ObvunT7+1kv2NDV6bq2DwC+Rl9veCYA3A58MmNssGLrWqjftzqEX+m73 Wn+TXOLOv/Ffpk6+IYS6vU7d2XdaC7viN3Q+t1gIP46c+bT3sha2zu5xXHXI Fq43aut7mmvPQt/NbUMLW6i4tV6+JpZbTwqWfmrl7QcvO7n1SpeHQKyj+7zW w/1hlFUPr6drVWDUvHzzyGnWEOIeNm17Cx20ajCwYEYPEbglTBF8HMLtLw6t zzbqd0/fbltojG22Fl6Ntpm+vqJYn5k45KIwRwvr3loN2ucvgj2Ft5PzxnPn mwFV6fYSCQQ4bOwj+cp//3182fZhAw7ooXHic8eT3LkqPqxk+rMNashMNTlf fUwCvR22m9dtGApvG5Q+yWjnDfcOdk02O0HiR91hU4+oUQ7domDJ2yUFlxKE MKBL9qo5blEge2fdS5LnDa2XFw/42jESut3LXGat9ofA0kXzHrUMBbHN6au9 f0qge6NR29ssDYUjjybnivLFIBpmNdV0gR5gxxJpzyIh9GkwtWaKURTMOFzW uVWEJ8xzuFB6/RmA7EHwhqIKd3iQbz38qywKDp0zarPZOQDU/bxWmnXQwutv 2eczxrvCMHVi35aTomDi24XPXiW6g++ddttT9VFQp8HnCS/Hcfr66CcjyuMA 0jIKTjq0kcDzfb23HD0XClu22rVoLxXC4FY9MjqaREETX/NRUVmBMLxOk9jo rQr4JjIbf/CwHOYtHpb/aqsAyoMrvBsFkXg9c/DJuJGSmy6Hx762DZc7uoLP qbMvrUIVsKnLxhpS5Wv9a/M6ZyzCeL+F0eHEBZu58hnHnq3ev/aRft+ssD2L Lsog131w9cbHCug2NWm/X6EEmjnW9utnq4bpLhcmP8jl7QvpeW2FH3P8oG3B tqFvOHk6YuDPOcFAZadvWjCXz5nSVs3rryfPqJc4KDP1XrnjJDOKtXBtbd+Y brODQPJpjV98dBBk5HfqPNFFAfk6efrUJFuwOW+3dtAhOZi1aPQiOVkEO3Ls zh3ODwLXxxkrbicEQtClD8lD46WQdDK7YhmnD0eazE81G+ALDQLH7gjqEQEV rVqODX/nBW1C1k57f14Pc8uCn18OVsBT63pzlgw0hnYjjgoEOgWkbVpb/0O7 j/p3jRc9nrNQBrsqzSZaBCpgzP78sg9evH3XaM6Z8S5beP2exLO0vDjtvr8Z ib8r0x9WnQ+Yxc3/q40i1RXzgiBr1QGfbdIg2PPMc2nGEj7+9GWae9dlO2Tw 5h9Pz7xiOUSeuV0ZrCDxyXooWL3yVtNEOWhaHnzSJsuJ2qNMxJ8lEe7cPn9x Rv0u+Xy8QMyb+dvvt5f+9Sd4aGD+4FknB3PnFWnl2hlxD0Xwoyq+IuqBF+S8 1He2aq2l5+kC0bsXp9IioOEVv7GZ43ygrmufyV9OR4DNIWXSh0mBAMN3h+d/ Uv09/7+XQu/F43vXc1PDt2f5ebtOftFvuqJsOVGqgzjrJt+mvveHwa45jw/+ G8+xwSv5jJcXJHcLG1PeAUCf8TLH9GEQBNiNDjjrIIHsQdZPddVBMNPk7Tb7 h76QkP3B+7oz/z0Iz372B9+0CoRmTbs46FupoOGN/pk2HL3Bg55ZVbRQQd4j 5zN3qvjvm348My49+LUf/HLy2GKVrQZl9fb45GJfOHckdbJlZgj8aNrZoqSn DB5NyTn0aKcCLu3KXFm0WgZpNcyXHeqlhMZf71rZnZBB9MBhrZONlbDrZrn/ ieHuUCth4aTSMB2E5292zJco4NaYPcNfVNWGic1c6myLk8M38ffX+xv5wq3p l9s51pJD2elNR7t2DoBmBvtWdZs0l+ZTADwSIp2HDZOD04QXO/ZGO8Mdl6Ev BdVy+L60uN7CRs6we++dzkOzZHDjlkNLKxc5mNbY8/JRWBCsuJu+JmIGuY8q hFin8thfT7TwI6L5lNtSW9Dczd6l4vb32ZUtsvc05urpffzV8bE6cDUp7F54 zQmK+zt1L4/UQYd0I51fsiN0237C/twMHbye2mbbjd1e0PRcjy3iOC2YnTz/ s+8uEWRsTVoTw+HG2zIXNKvDyYvnwlqVUgBl1dCrmdy+1WRzoUfizvrw1aNm +yelQeBWeOH1hnQ/uLSp/4ebT30hRLT+jbpjCLW/i68d8hX2DYHPQ/de9vL2 hiXiTNtxjzXQdFt6QOpML7he47PLJnOA6PwT4vyTXlDnaWfX0yKA1uUBPvW4 eec4v8NVi5F+8OHzsSUvAuWw0j8+Zi13rj5c9D6jlkMgtI585Rx8QQVhxTWH 3NobAJsSPjdqNEQDr75l3DULlMKmu70n3uyrgaveber7LfGHoj3TZre4qQPn 0eauTp+lUOqR4WNuEgIHQ4YvVo+ygwe9ttst4s4bjQonjAi2d4LOddo2ljTW wYI+ApVXthPci+g44uZEHWTUqBxaP9kTRmz6UHzsoRZ+GfyfWWG/fltMrdS/ S2jjl33RF2p4p/XJqubv79yoab/nkTACfPvE+g/j9OWSO3lK9y0iGF+U1Wts nhRcJn7+8qx9CMS4+gToxkmh63SfjTtqhsC15NzVyt18/OCpNg1uP2vkD6tW XUioz/F/Wq0nd1V5/iC7kRRneVMLdm478/aNkEFff8t7/yz8P/Lz8kWhu5sO 8mtMu/DD0wPiLe/vvMSdd5rtCEl/O9YH1s/T50o0kWA0vOu1QyeNAJYH2nXk zj/3GjZZlyiwgifHLU+95eTHqpvP5HZVlgBN9ZOmcuPTpazV+JarasP8h7XG HU7Swchx18Y3TJFCVdq+c+HHQ2Bh+4CzVfPqQIuVZ/Ra4Mqd/omX3LGEf+wd ph2brKPxM/3mPZm1ebAKpMILk+7vDIBU/XvnI+FasKnTfkr/sXJ4uDiv757a jlB0OG9Cab4cfqf+7JP5xQFK7e+vWPJFDqLZX+wOvnKBxx1sTI5PloFZlM1S /Xg5DL/vNUDRUQ5JMZMq4KwHXLi0oFp0Ww4bk8wVC5VCmHzyka82g4+PJP6t uoMaNTeR8PGPs07stW7YWwe9TUXO1YkSaD7z10S78DCo0bn51p/HPeH99eE/ d68AiNk7bNnAbiKIODM+YfZygJCya70ypsnB/+fNN0O97cDJbmxway8xPK9b 8bTMGKBn1ltBuY0c8m0PBOdO8AH/i+1mBJjz36urpbDp0jslELo+CQ75eovP R7mpOPvZ9PUa2HJcvWuAjzfUFGusmq/RgNHbuo1SNT7gGTPVcf14DQTOGysf PcAPztgHqrf3DIebFwuGneDkMztnRPcxk8PhQOcxvypOe4PTLatZuwsi4dkX 1bXmlf5wZO2EueO58+GPf04XKbz5eMqnxV5bxq2UwyL/l2N///6mN+vdwefb cj5+Jrwka+UbtRwORCqapLTwgk927iknWkqgz/KRT++PU4NT3paNotXk+RL9 T3Fjv94cXpb6u8WYtdf0Z06YN9qSGAjTNAf6Nf+toPKxbFZ1dkAEnz8y7uKw t50G6mDFZ3FRu7cCWGbS/W3beO78XR47wyiZ/z5k/ZHZOwfMlcOJ5aljshxs YGDMse6pi/j4j+TRsoBLS7j1fMabpSZdzGFh/7/+4dQQn4V3NtaB3eaRX3a8 kEN6wcHzj+bZwHDY2u7DOTl0nd/b3jnaGhyu3X/veUYOm7Iej3wb4wyuHev1 bGisgEnTY6df3eoEbxfkCWN6BcEDL00nhRv//aEi5Zbjw+fpQPbyee38NtbQ r24Np7CZfLxm9D/hL89z5clj+vdPeiWHNbuMTt+MdoPGDae8s77D51+SuAvW nmgSBPZ3J6btiJXCwrOB7Z+/DQKF5dLnDadIYYnneptf1wMhe/SXrxZewQDZ 7udkjob3E5XQ6fx2M08bCbz90uSidgPJ/+gF8otdymzHaWFJveWDTyX7gM+Y lItpnTWw39Roj7u/HNQuyV0j4zi9udawQW25fqTOtbr843IwJB+pvrx0EB+P l3ynre1iByEca1TazE4ZReOb/Bpv2jrKSgXfpzaZPGHtZ/3dV00+nBHr4MHz R3PiH5qC4NDWq7/jdLC49aVWtkdMoLpWWvs8V04/W1qnfmpvT+hT0EYy9QGx d4ogfWuN0IH7+fjRa/dvzB17n9NfVCuWKj1M4dujvmWKrjrYN875zbU63Ly3 ia3vExwFLbITYyZ89II3zUZ9MLcDGu+V0HlS/ffCIPB/EmS8qB+3LuTMsclP DYL5xh/v7vXk40trWcim7w0Jgl8ODUqPrJGDRwvZsdI4bwjMSw76IdBDj0b9 SnyzeP+k8Y6t1q04+ZnWQHt6+GonuDJ8im1Zphxa3/3c8eVSR9BdmlJVxPE3 a9LRR3EXgmBvRb8xnx/8n/No68t3Ot2SwbbVjpFNrwdBz1HjkoOW/p98dC2d ywImyUE8LWTp4qMkv9snfUvfWivinmspvlT+8k6CUAdzP77qMSbUF5KmXqyu Y6qBC76d40efsoeF3iuHzeH2l/lHG2x/E+EMeS8rel4O5fZHyyVuUY4usP+M zZqwETro2OLsUm0b/jxakZuweot3IJxZ4GLZ44gCeqw9tu9GTAA8y5tnn8qd 5/anhMtKP0vA2Kebw+P+apBOaDx6ek1XmOq2WlbqoYP27740OfDBFZ62lQR+ 5c6T8W7nndNfiKGLY1XswCQ9jPrcfOGnlXz8nZvXgo6Trsrh/LX5KYPGmIBF p4JDj7/y8W7562foU3/JoXHE6eEfFE/1G99N3hZbKIdSYUirsnpX9bVP/Zhe +IuPl63r9qDx53/PH1qBdLxaBM7GmZGN5Nx+2vHYvtVdguHqSl1lw1tce8Fb es0bW65/9Mh0QMZPPp72vuetrKQnUnjbc4Wnr60Splz8YTbmqxRSF6q2e35T QP9vCcPumQTC5m+lrReUKEBzdHaUmbMvhFU28Dpnr6Hxk0OuPlx6LEQDCVHJ hXO49anIZXSozQ4xbDZLlNRM4/0F9oOVr5dMlkOnXgM9ZWnecO7Du6+eTe7o m6xoYp/7SQtXDshVj77x8bUvzubKTt8PhEvL83NHmgfDxZPBJ/oqSHxnGPx6 Naxas4mPV619Y0POzZoSMG12xtY6KwxsXmw81rbID8BEv31DaRi01u9d8O62 J5iuGLTsziItTJiqWP21vQiy97YbmHpQC6Gv+k3JrJTD9cnmFYfbVun31Tnr F/eDj6cd9WjBEl9tINxqsaiiYKoarE95vs4eFAhP9b80KU5qaJRs3r6ZjI9/ 3DTfWLbN0++vP5DrX4Ti2By3r74Q3HiG77GW4dAhK124itOXF0ZnuD+bJwDV 7eiokxvkcHHWiC4rw1yh25hZzUZuk0OXkGn7B19wgdcmoy3ac3hLE6/cCz9c wENddt+EO5/1aXI23PyXIywxWdhvWBixd4bAxUbbznbzkUD1pR33kz+r4Vyi //P5T3zgcYqbl5rTPwUTZgvaifn41tg00dWQAXJYHdAsZGSCANzXb/24cYQP DGxY5m9uq4GwprEt3szxgfm3EuckmGtg5lth9q8RMsqv3ve21Show8ef5hyU XDO5xcv/jRXBNXdV8dj3nupVLCePm+sMGfYx8ZOexJu2P2H+PLSGDoKuiVLr NirRr3o263MOp7927/5jz9bBcujct/ce3XAX6LV25OhhGbw/re+m8VVLd8nh +dKVrXfec4Ych90d7D7JYXfqhVzp2powXN4pT39NbohnM4XU5ifm1ub4PT5+ nkPtOyYwrFHfja268/FIJL6z35gOrxsmhsELk479Zi7zg5UVAx/kbQmDFUPa zzSdTfKPhMPsr213GXN6uXDdyb1hL83h3Fj7kmCu/ep/m5tqDuNnXBnqz53/ uiSbtT8TUgPefv2r7y8Y+SEpcbUxNHu3vLWHQgHb4s8Z7a40hS8F40t3RfvD uR5FCW6HVDB8c3DVnro/9bWfXpzywEQHs4bbm5rW94PGk+xXTAsl9mURJGw4 vX3ZLC08tzk9ZMXhuhBhvO9dQlMd3S9TnXe+slRoQdS/RnxFJn/f7flX8wkZ 3Pnt57jZi8YIFfBPYt3lnyeJ4X7ZwQcnCzWwLWTlhOwdbvAqZsLohNo6SDH4 o0JybmSd4/Y7N6v1Fs47g2BC/eXv7j/1hzmJF5wqplbr2893LnGrw53PCzoP F16vBW8HpS6x1+qg58IeRfvi68EKndHvFW04fie+rttsngNcORVeOamlDjSf 1hdt0wkhbEOLpb/vaam9vPKNw4kLHD1Xyzr3SL78Sn/LZ/7GN1e14LRqcLvT Rp7woEfnBZJscn9WDGkfi5tkXdHA6Io7Z5uOdwNp89cXfC3576Ht/TrBI45b v4+rupd0eRsI8cc9+61eJaf300YcK+6uqsPfT3t8RTVtjk5H44lX5q4I6XhB CeNdF2xcX20Krb/97lripYOnt4bPmrvAG37VnfG57UgN9e85yqXdRzqrwO1F h63t0l1gXNO4pWs5/UbUbKhlmpMN3FCnJ7+P1kGtd3uSY5X1Qbz9eCt1W04f Off4SgdL7nx2ZMU6J49AKPJo89B9vTFYHL84tZaTwZ+wNQAWxNW2Kp4QbPC/ +kOPfgsSpu9U0fX6wjyjz3eehwDkbTv9dpYftOw7/Mzcb2oY9060ys7DDvrF /NUvNUkBfX5G8fcVD/WfWCfoI7nPrYLaS1OMhzm6g7X/k5rHgORzKdRvadjq vvlHLaR2KTXuOMMGQu9Y1EqarYO73WZZOeyqD2ZN1vvPmaODoqegaNPYHFKe zt54YhB33rk1f8Obm3y8K7HHdm1YcXhBfe58tG/e+hcNSfyar8GeV63/0KC7 ReNmPH8a/LiTu3osN54Pr71x628Pezus+nM+aDBuv8fQxp5w1Pva47Q3Wjje +N7pr7fEEN6zaMn933y83uRTolHLuPr6bnzUq/sKKdiLGrz0tAiG8MDMmZ7C QBi7yGxuel8lzBc0V4wskEDkMnUt42lqqJkZOM3joRwqd0uGV9h4wPr3h6b7 36oH1uOO/rF/pEROCLvy2gEe/Ij8NHSmjsbD241T3Nix2x3cNVHfOxWJIG6A fnDr5VrYcXNcr3Xp/nDV0imrwXMVWE/b13P9Iwkcdk/fOW0Mf79p9vJTLTZt 0MK2JQWNB2zxgg5jVUU5jlqY0sfWvsyNv++WfevoPjdu3Vl6efnTG//GMxjO 9w2ipWPio/nzfEzViYysaHI/yMgosjA/t8ZGLUhV305XTXWFa7dz1+500cH5 uqOKdlbYQdKaBq16ttMBSBuHepzm77v2vbe0ZHv4b330p9/HrnPzZ59g4KcO uXz+eLLeO3xpmX/pgtbQHyGoNavqvTunha5bCgePnCGEd/0q99Xh5veyn6c1 VXtsoVP1DvfUdvz90IxW9yc0jtHBJaMuqV5CP/jZulnfFaoQWOOc/amqDy+v xJ/3ZdaeD8e49YPc34mqLXacMUL7N76ek9+Os1rOqTikhV4dCu2S+hXrZ1ye 97XuaS2sW3TolsBNBJdSygqjJ3HrS+CCA0s4/XP45w0zt87TcvvrFdHx+wHU vknW40Ud15sFTwc4MWlc0fKRYmi+yWVvXj+Sr0cCoXtr93vUOJTqy9p/QoYn NeLv4+bMu7rZP1oPd5IeHtCbS0A/ZNmeFsIwGh/oVZ3XpiQ/Eg6n/jMvc10g uIztN3dwajCNv3iZkvbrUCZQ+7fJhtlGLxRR0KV7tOCYuxyk2qytp6Z4Q9vm P7Z7rxGD1Mi98GBjPUxvnJmby51n5yfp5mysraf2ZMHUJm161IqChGZHQ6VW QVBwoNPNUwIFWM5puyx8HG/vLCvPHZEext8/JfeB3J/HgPtJNcwtNvXcaOoP p0KKb2yaHwpTNhUoF8+SwuwO0tI+10Ig3G9h1lJufo6a5NAuaaoeMqdOPJj9 Xgj9D21fsucHwNyNBQ/L2/D38X4tu5MsfMPfv/vYr3fdhfV5e3Zp29rnaozl 74+vd8vooTF3h4Tb48cERkdB6IsFnhs5efg5MueKZCC3PCoX/7NYz9+ntVdZ Bk884QFtvtk2PeQQBftn3/aovORC58lZR2VKxCU+//eyqFd234eKaHmzsMl9 txTz+b3bj2s0eKY5nyf5gN7p/NntfP7uvj6r5a8TDPkvjOzhxTvjw/rNVhT7 Tii8mlXXnuKFX2sWXlrD5+ce3yrobculfD7urfqZD0UJfL7tWslK6asfJgbs Dg23q2bMqudM8djLzUIWVnlR3PJ29cLid/h7Z1bQ+ume4w3D3ak/uSBzR+2W AnfYleDyadxVPh/22Y/mS0Ze5PNh//0rgoGDbl31fe8BgYOafi4dL6blxB55 RJl2dEW1B91vZ+xeoVG7uEN7kw1rmuzk9YuQJydrBJ/5b37sS8r5FqWDSL1G RokOKXW+DPGD1JPS99sFZHwl4GYc0s31jA/FxJ/vH5seH7lYDOc188ZPX8/n wyb1m5m4FVz14/mo7dIt6mNyIB2fYfqeS/YUSqAo9OuJ766EXzI6v1UZC1rI 50tg8E29w31PX1re/5jF6LQYPv81qX+kPsvKS87nV215Q+fnHc/nZ919o/2m nVNl9D6q7+iw7T9ey2DOxFblCyIN8+P/5FftGOracLlxEO3PkJsNF+Qc5dsz gS/zTNfz+aotX65v1qiIz99q/WTVZctKvr5RdqM6Jazj9McZUamrxvD5qUn9 R3pImg+8rKD8FTUKfat+pKDj3c4ya3PiXQXld5cGy5Oan1XQeJkBF67tKxco YUXT8J2XK/h81aS/bouXjDwr4u8z7XZNcrCcxa//Xw/mlD105fO/Dqy6mLy1 Ad+/mKFvWh4K4OtbF619YVbMf68idIBZ//d1+XzQR08l5t5Yx+dv/XnoZf7K VyG0vqeDhskLl4dAqy/PO02M5fM5k/LwhhZZlxz4fMleX/bMf72c33/7+0Qo 9jyPoO2neD7o8sGZz4+8e195YdNXYZQeffSqLysWhtH6S82axJy5GgZqUar1 4dt8fDiR31/ugweY1uXzbaTH7jzduibQ8RMe7La9vhefH6nhx8M3Wnny+Y5z zQdWfzCJhK37LQrnx32k34sl/MwpuajtNAgg5O3R9bU/u0Fq/r7jjZOMoGRz jPz2Sx8wPp4zrsDDBM67nIiYuksG5hZHz26daAL96zkOvfDlg/7i0RNJ6efq wYCJVltG/zIF5ezBd1sNt4OaNZ+H3DxuBY371OwZXWwHXx69qKfT24PIzlwx Od4OSjMvmHY45QSxgRE5Z1xt4bUuf2jhAU84e06pM75uC/d/jjqwMsUHio4P rTk1px706Bg+sGqVBGKHdFtZO9kO1k30SP89VgadFkS1TRxvC76OLrFdVnzQ D+xk7vspQwAn+wbviv9sCmnRTVdN7ecGp3+5jFnT2Rn6vb+++0gzN+jaqmSB x2U3iC4YnbHsnQAKtl+cPcZXDJlzU/1SerrC8rCqK8uFEkjs4uO24qgA3lwa N+xemQLmvVbELZ/gBrEWaYfmtzWBwd0THnuUiuBChdAr+EJdcI489SB7vBd8 jDWdNCrCHrz2eKybtdcLLiy4sm5XA2cwjnk+utYSL/CxqlXz9083mDf1U93T vl5gnXX81PEZYnhe8HBkzlMveHXIfLNwsQ+sKJjSKemBCKxSmoVvPhsAQ4c+ 8+j/UwQOxzyTN+6Ww9mCwE5DrnvB0ubbfA9dUsD3jv39bku9ICFHVcs4xAzm PdphJb7lB+9+GA30G2QHM+7qpMInvtDY0TFNecQJ+l/cE5Nk7gc9mubI1//j Bp/8mvvJSn0hYYfvx6Ec/wdX13ANmOMHov3tLi7JkMHXcnnm461+YNJ9nVH3 RDlclvuOfvDeFyYdih7wsE+5fubWZ5dvVXHrQuWy6E9OdaGt0R5jM+9AOD6k r6TTMHtYs9lzU91HgXB0u2u1qZcvNKmzaH7lz0BwGBbotmusBMoX9+8jnRkI 9sceP8k7FQD2XwdNqPgkBZNi2KqeW67fozl5sr2JAl6tydtgI7GCJpYNbmxr r4DRPSb2d/7gBPUqJ4a/cFeAy++Rh/tudoeXo6uaN+mrgLUTXoxqOr9c79Eh R7hyRjDUOLF24o+zdtC84rvqSFow9L0+PfzHYTew18ze2mVEMLyt+73Okyue MKTJ9/QW14LBMfXCpu0cvZ+MIl5MGhcMTt987TK+KaDzWvPV1z4Ew9CB5TX3 NPioj9PMyvjlFPL/yHrzeCij73Hcvsu+bzNjNrOYGTP25TlEIZGlEopSZEll iTapUJL2UJGKVhFClhShRQitypY1S4UiCn3n/Xk3j9/r937+O69z7n6ec885 995zIPCLofkGZwGwVc+0kPphCLKvagxXflIFo1teR+2UjGBGtR0+H8TC28r9 GpuEjeDmjelN/gOCIEujfJ99awLdtx2uOkZKg+O6rsKSWyZwa2alt0iSHjwq rPuw47UJCPnbPsRIawMSzRB5oGEOKftMSohxROgamb5K4OpDiSICdzpyqRC+ 8v1R5SEzaJKNEBByUAMKOfHdxQZL2NxxNsqSu94jc9+OfYmwBL1JsYM5kiQw XB+xv3bIEozef/8e46cPmo7jZ6OOWsKMzwQ18cQkonoiV+I2BqB9Mh4rYSYE UxfiTy0zBMAejQlMb1oC86FfrrpaAZg9a2PvjlWE0FPpFgxzgJPNP35T/dSg e6ze6hsFwETCX3s1V7/zW7GsgCMFENBxzfy8BZ5rv6jVrVljjdofvTeRpm2R 1uj7//09J5NlQqxhZ1PV48fJ/FB4PfIy7egQ8hbuSTO4cqMs8+Xb8+tGkeiP RiEun5VhWPHZnk8/JxDbDdXHcxqU4UgTaXJn5TRynH2KcbkeA+m/BVf7q/9A oH/lePZ+AoxOYTmEi2OIadjG5nc7COCX+ElQZs9vJGBux+CB/WRov13gESHx A9mV37I24RgVHKyOGO+iDCF53ynDYup0sF+nsaZj0zCS/pvU6ybHhTXOEBTe /UEMnGJ22xgyoSWN8+r9ge9IqvFn3DPkN5LeflZKO0EcHlTkeo3EicHy3azh 1dclITx+e0S5ixwEePp07nWTBM/ngm9nB5WgZ1+c4BeaOFAPH8n/EKEF/fwT gn67xGGp2aTB900YINQ3bbeNkIS90qPqV3QwgOxyTdNx4spnJ7mPgTd0Yd58 1DeLIglrJ2i+x6wJoLD61TMVd3EI0k5WarUmw8M9a9TO3pGCz9RSPTcWGYJW C38ofysD+gUt4UrrqeCW5P5BkCYJafvfEh1naNCTtvQhuInDgHhLaR+eOz7Z kROXuqTg0QOO1NkXc4ihfGla2IIK+ObdRRJGxeDZ3T9mBfVqcFf2c01xszyM Fus4y4epwE06s+BWrzIkNeDN3h3g/icXQrs81mrA+Tf7C17pqXAZRJI8P46D To3Lb+i3VUAyYInGXSYRZvr5CAeKVUDVbYnHjw8keInz8N9dpQyBdaQAxa8U WNVNfhrClXNjo45XT/ZSwFhpVn1fuBpYlHnIKwgyufbLrmcFSapQlyHXJj/H gMDLh0b3Z6pBLuvPjIFVJ6J6JUlQ0xQH56e0PeNv/EZGgqopsAcDtTtP/mgQ FAdFB4ftP8lYwJ1IEFk+JgeP6GuXvQ7FwtFg3JkePgV4si1N0yYRAyW0nPOb Z5Thy3KJKKnVWHBdeL3mcxF331F3XjnMtZtWD+oPvpPHgLIzLlvBGgMd12pm sZG6cKLV5+JWGhZYo3sg0IvA/Z/a1LQTMCDpehQnlUmGJw+2XpnWxULwjUL8 l1AKWIatWz63EQO3buWLvW+gc+X1yWQxeSxQ/95+LZfHgNTjDbevpWHgU69e u93kOySyruPsxGYClFacvk36O4/IImtHkkqI4J9twd5DlwN5uji43yfApS93 80mxypC64NfE6SJAsFTHle0HNaB9fznrfRUB8ocMs89y+U2CaDX9fh0BQhrK GimFBBC58dDkNZ0IWRcMSW1WVGCfSCK0CxPB0GW8ZguVDrm27kfGHxDAY83Z C1JqncjIDw+1a3UUMPJ5LXGT9hWxTBIaWxdJgc5grVN/H/9GfFYoeZw4QINJ HXqB210xyC494rx9gQJk6ezMuWlJKLsi3vU9kAIbfv8hq+yQA0JByd5hSRq8 vr9yeYQIEbxw0Q89aVR4xhzWuEQkA53zoK1yigLRwweXjlpw91NtHwPORwpU b414qeTPAkMnkWjTTVQYL616RIrtRCI6xDqeNjBgRDP+w1vhMYS0XFhQP50B B5aNSzh8nEWMhk0bCj8x4VqN+IeQHHGgE3/2xJszoVW+NaHkvThwquCzoAkT pE4ku2+rlQWj03yHTZwYYF/wxUL0tjLEPLtUNcHly9Tio71ZJppwuy45Q9Se u+/sfXNWO4UMMiETF6OxTFimrZM/2kGB7t003IAWE86kkQ1bwijAWXXMi9TE BAdx2/t0GzpsDHwZbNHPAAvNv0tx9xjg/vqz/o1LDHCUuWyBaLLg81o56xXH GPDtJP8jny+fkHSyxlKZdQaw8tpDBWX3MeT8Eyv3LcsNgG+9f5rZ01kke6uD eRfWANTolmavb4tB666Aen9+NlzTOV+t6S8HtuQfBg8jDED8tokLFasAyxou xIWxDSD+1Nr1YurKYGAUaHvamg1t4VMVW5ZpQPEq41MmNtz6xmz98EcwYHiK aJ1x2gDoUtqbL4nowqVTHuIFfGwwORx+jXXiE9Ij9vqH6zsO7Ps6+Ct4ehQR Stz4VqSJAx8qLZk5fr+RsuWztGvFHBh2/DEutEEUhnKMosXbDIGT1Fr6uUUO WKm7MobWGMKbpCMBvlbKcOJphYRaCwe8ygt/bQjWgNPjG8od7xrCH+rc6dW6 GGAv38c6W8AB+XWGV3K5elpbznXFKB1D8K1UvaYmxgT1rqvvWTRDKDuMX3G1 mwGyy5c8EjlsCCImXdZFij2I/LsTBwh7jCEwST1LmTiM3Dywc+pljDHcX6JR epcyh5yqvKfmFGoMEXZbvhz+zgee0vKXzDYZQ3zDYVpQkSg8w5NO7bYxhtbE tariFlLg+Y51mqFrDC9MPWkT0crQpLm6dkTBBFJdqtzZNzSgQGRfRcMOY/Cy rGhcmaIFst4bpkJwxrBaztFrfB4HH0/lnurdZQyHPrnEUT9RIFApOJCVYQxh VgPnba1ZUOqMbcamGEN7yl7vpiVcfbfm5MiChwlc3dl27e3dz0ht8o570tvM AEMKExskzSPek0favkaaQce2LmEjrqxwsrt3PXKjGcSP553SbpeD5hSPRDW6 GbTeJkr0sORBWzVgVQ3JDIbfYyoKNiiD4yPrxuZuU7DdNG8+ZacKng8yI93v m8KAgMydYhwGVsabWIm3mAHWsmrvx34c9Kg8VjzQZQpBwqp9ospkIFqdOlE9 Ygq+6fO3yD9o0Lggr7ziuimcuL7pT13LN2RZxGTzdYwFkFLPqSPSvxFk0iz3 AMUCShySBrY/4wflR4Yxj+kWQJ5su9rnKgqs8ZR6QaoF9Nh/E1dYKgVy1ZC+ G2sBveXFITudMGC/QtYhimQJCcfC1jEncXBXREZ7V4gFzPnKX3FOZYCKi/7f e4YWkPqlodzGXhfcKvac+QQIGD/FF20So0P6LIv+rdwKSn3E5VfQySCXUke+ Vw0wqGh2YQDzEHHZ/Qxzc7M1kJsyoed9I/LOYGOS0lZrMIzeOyryih+1A39P b83VEuflU1jMr3BWfDy2IlgA9bfHyy28mIgQhXeRHzBrxuTR8v/95OHTU5fJ /n4hOFkhbhzmpgy8+uQ2ftqFeY1B6UPOyy3EpmNQvO+3POSIFwGFBWYUAoUS yCg9k6pxOHUzGcXz7vNNndCyFWnkg+Uia//0Haei9Hhv0yQ+ETpKX18TGllm tBivjGcPPzl0vAKXJQNxlrZyBY7T/8a/BPLCVuhl9vb+T36IEO2B5LCHCnA/ imPis5UXv2wJhOxpqRcPUkNhXZOnW+7p8vKHKKLvuZxdV8yVuimATFmLlP0M FqXfcPPCpWDQ/f/R68Ke9g5CcaICal+7bg2oGI2VhWcx+V8Y9XpoeX/tRvkh PjJanhdPRpqtQ/VMV0Tt/+1ROl4Fu9TR8TCeSKcFf9JE13vtDHIqaVIH8rdt 0lzdwvN3qkF+mUSNWKY2CvPG883X8NJ7fQwQ033F3kTy1lMb9R+vM7nn5Y3R hDtl3UdWof4+NdBMTtvPvkNA6Xn+8Aetdc6PhjTAL23cryyTguIbTXdLr25l oPAujyRh6/nFfCp+E6Hly7n23P+B/5/8GOUvevomfHHo+OLUzdqCD+mi/Lw5 Q6FlNy8OJpd/q1x/zfcaElD/jslMnFu4PA5+rfSWLnD4946UWz/6Pu+veLHV Ah7sDXQeqaVgUXy2nEvwVB5vPvDofAyeuswu+KILSrJPqIZYAkqfdD3LqKid iMKvRTd2uywho+XJbvhXyb+pKL67jmS0JJSO4nnxmCKsRD8S+nDoepPWU68V bOL5Gfn4tDS3+RXlE9D5uHA5po+atJg/KuGN1xqJ60Q4vPrDgZpQmX/tEVH/ j7XSvQcfqCS4TmsSbr6ghOKV7lUq1i7l5V3h8aU8XPZ5NK1wjYz6q2wj9PqD l5KgWPJUbNd1dbQ877yXSAz8Uauih85/nhTXeHtLhNqEcIMihg5Kz5v/3em+ dr9wetB5tEyyqhCL4u1nVwkuPYFB+8Ob/4NVPt6J+WTQHLLJES7DoXiefzJu 4deRvfkkGCDdzzTjxWfi1nfc8fHqr856KMyTP5q3pmr1F/TAblYv1DGbgtbH i9e1+mTsmHowCV4v3aZvM6+PluetB9P0eTBTmLrob7WrtKrIosL3skn+ipB/ +UniqHBMbNv8lZ3/4tGi+bnEobx+omJ3Ho8P5MF7gh2W8VEfJm+deqE/tpg/ JSO3/DzFRhuFefN33LaTdvI/cfUOZOl6JmFRPG++Mj+PKO7/tZhvxYLhqNqZ TYPVEi1nhnjnGVx6cqx77GVFGgrz+BGHW6OOO6gPTpXFYb6zi/GOePIpj2p7 yIiPDurNRjY2aHyRRX800cf5pcw0A50frS9Y/J+ExXzvBxni+jvSF/3TO32t +ZQjmHAxm3OEeep/87vXRs9RTdB865qwNK67HxFazNdou/bnU9UtBmh7zILn TXx0Niz7vDpy+vW/+NxovnB5oLyRlzZ9ywYC3u7kyOT/5oPZnVxd9FmPDS9o SORXtf/NJx6U1P939ZPF/OEBDIfMtYEcOP0uP7Xpw//m874Rxc4s28LVd52n o5beWcznTXUJWkV78r/5u69/prx8eI8N3z9gOVOpi/m6eeM1EdujJvdp0V8+ S9iWH3HSEJ0v75Mfn69bZQQUZQfKRPH/5qP5dpMlTa03BLNX5ttad/5vvuvA u97C+ZuMIGX7Nt31mxfvK/HG8/ZNx8OmaCMYme/Rtn29GM+KFx+ww2ShP19l Mb/hBM1OgxOz6I+Pis29fcfGBL67zPmV+vDyDy2exwoTbH+6fTWGDr5yDN4f h+JT0y0i8S8X80Hnj62kCe9bzGdj02Z0zzee918t5q85E1UquOv7YjxasaM2 e8YjF/M7r/mp9JwVZobO5zWl6OZSBzNgu5frjDgu5nPmrb8X+eYmLWdzEFD/ kXW8fzEfI08eKR7sZrw5ZAYJws49J08t5rs5mujWfML6f/Mzl9Yl0m4ZLcbH e7/Md4ziYQZ1Hb180esX89/o8xeutJr+33w3a4mOofYx5pCdFvjz/cHFfDe8 /zU72vnNsjhzVH+oqhZ+4vnbEuUXk5un2RNDi/ma9T8KVQ6utYSc0nEaoWsx f2OVA/+NMNZifhCevPzwdTMuUcwSAp0yRTO0/jd+dTI7y3PEjnd+gYOMYQUH hzMIOt6cypSaRAcEhNpfdGLXLMbP5Y3vtEzQ2dWyi/GiZW2uFoxvs0bnW55y SG/1OIBL2PWvDnGL+WV4481a/zDbQhnQ/fPv8YKRk/TF+71swnPs7D5reBO9 PDKDzQRFba+zDVIzyKPc0lW7nb4gNqUXHRVVFSD4ZIGFIlsNrAtucSz4ZKHR 3cNxwxQWsHnuHwvclsCNFV1n3ebGEBrLXiLiJ1cfOh5LH3HVhtILHDd/SXX4 dudpSl0wHgL0tznmX1ADs67hie9zLMDq3uW0qXD1NfctotoG/GDEXDGliNeF jCsalgJmWPi1yc9L6AAO5uRmAnat1YVgRIP/wyUsTCfeD0u6RoQm0WD3D/tw gNvRvibgExX+XI+6678aB5P9SY3uLn+R64EX91AziFCtJKEt+JGr7wcLsSRp ZLDBHvtDBCyEF7lHTx8jwZWrRvReMT0oWVP44kEeCQ6RJEUp02RgsrOX50+T oFHkgXLAfQnA7z6cbpFAh1i+8s4+U3loURLg2JdRYWm4xePlBC1YNS9WI8xd x0MmUrlZWlhwOyY+3LacBo+c7u3/flwXwrOX5bUK0oA+lm+S2UeA8HW96SMn qSCSee9c6hcqCOfsfPLInAbHZjfnda/UBKWQgEonGybUFq+c9tutC07ulhsH wpgw7KtwDRsjD9/OGblerGdDneu5i3IcLcCfvva0MYUN7SrvNYtkiDD9fG9Z y6QBCCkeuST0iAz5n2/cl1/CBuqyqctLAqmw/YxhPQvPho3hcVZb47j7EBaZ 6ebK/9SRgwz/PBVYefglf6ylEXxzUFsyNo6BqJVXlh9fbgSD8StSmnWI8CQn LW3PIUOQiDp8dJcVEdaenzhjjzGBm7vKl+hp6MM69rbz8nYmkBTUwCx8pQl4 vYPK6VbmUPGuY/nhA0QQvmplvbvHDIJvrliIsaJCgekt66VLzUFYfPvbyDVM qNYZfJ9SZwZbY6tjLnP/5xRfjpLXAXPwn/zdnuujAod0vuZX9FtCX5w3CXt0 GKn2GNkeogZQoxO3hm/uLzJtxFSJ1gcgnr79504KFfoeaZ2ufIHAr9s7t67S o0HtRc/XExsQkCgiZZnE6IJOsdN6rSBrEFN50+ja2YsQVj/zLQ+3BpWuBPqh ze1IlVOOFXD/v5IPdxhxXPtsl/aldzUXW5FPLlVRkTFzyIbJIyl8biIgTpNN 2DjJ3c/7DK5X3RCDlE5ZrTxldSjCE0yuRgpD25YG3DkWDqS6WzIyDgpDz8eS ffYDeqCpyvJUCRIGX6vJEOVnekC4reRfe1Aajju82LJquAEZuRuvkXVNCWh/ Q2468mmCtHZUxc0URSh661fJPqADH34Ovgq3UoJTKm/aPRrxIBfTV135WRHS 6Xd2hM4VIG/Kj8prxWsDNjf7R4HnL2Tr09x5j//YuTsmBe/ML4G/96nt9lht 4Fdl5lxxVoCT1wPlVttx98U7Z4ONLihCLkZHLEZaGwSO9SRHKmJAXXaX1HNz DOAefOoNoeJAkd8svOMW1/7pkiNdrdOF2gevW0x7dECcsuXsuiQC9BRadrMQ HXhY3VdWtIwED/cOiT7g9sf5xAqtUEcavLGzeTYrpA1XdO0yTzcwIaSDupAh goUH32U+jX2aQkpuCA9pr8IDMz6hVHn7L6TRrOiqpgEJhPyzfudIioJV2pvZ z2wCFK/+0vA3VBQGynfXNWgSQDh+9aqJJAx82iQUvnotHnaqWD3W4tpZTZUz FZNlXHun+5Lts6ckSJkNFA40J8DLdaxB6yckCGqVC/FfSQCd2C2sZS/1gH+I TLpPwsONfpvYSVMGWAW+d3zxAA+Rn85knRBjwMrVlwSATAQFfKlLxs4Z5PjF 1u2T43qgFZOc6dH7B9k9TzSaL9ODpBfm164Jy0JplEzE/bNcfTz50QXrUFnI Ot98JyaaBuFnQvDXM5XAr3n66TdBCjw9v6bier8yLLmQOUew0oO3Xm5aL0bV weXDwQ5PGgU+8xXFSdzQALGyOvMzl/WglP9CSNgvHfAIPYDVUqQA4n7T8wJX nzjauJF2p0YPis3knRML8LDnWYxNo5keREdEmBoHEeFDybf9RQoUiIwTvGqy jgJ/RJVMS8wpwF5TrFTtQeH+b2eXzzlRYOcBY/qlwzTYhdtTmbdTD5qVb9Dv 04VBeYXi9uMr9EFoXHUg4aY08DekdrqNMKB1NEBS8LIsTJFHikmeDHhqy4+/ L6EOnQIRBw676sNSsmWcy0112EUzU+krZsKZ+4kKmK06ILpC9eOLo/qwrPCq xuZlOHiVZa/WzYX/SO7IS3mMB/kkoaXCnvpwqFRh8+fnwnC+oa5//0sWCNV/ wJ81EYfnv0tOF15mQZGVafIPRyWu/DmdUdfOApp3Rep7XRUQCtpS48XVr5f2 ndud7aAOHQEvOq/HGMAm9bUt/HI46Bnq7T56igWdI8o25RV40H63+8SqmyzY YmpfgXUjATZFI2rFXRZoP1aU7uzQA5/Mca8fOSzQHHX6ZTGgD3tVzw8evsMC q6JfG082MiFKIdaKzYXhXZlzrpUMXE2LntFW5YAH80l8ooY6xL7/nfGdyYGW zfTkY891IKVN4ObDRg7wNWuna93Fw1vq3XpNNQ7YTrO1SQdI8CS+qEjWkwNm AeJhGO66XCoMPaJzmgManusaltcqwqW5Zu3WNCNINE0qk9qlAx+Lbar0XhrB pWdz54Yu44GaFFhse9wIHrYEiQaWkWDjTdW4chljKBBK/FmKZ0Bv+xZVeGYE Fp/WMQty1AGXT32SEWEK+sdeTjy/ioe1Tx+dl5MxheP269oOMekg2vlaTMbX FIJKjpjPtDEhS035xW0jUzg4knaviJ6LdMgsP3N2wBKEJs3/tOr3IxJH/Z78 nLUE3/x7KkJNahCWdTi5/pg50Lan1xxowIPz7/ruG6XmoDXWdrphKQVu0zwm hMQtQC2nPYdK/4mUL1xtdpCyApHtrx5+Sm1AjFbRdzpJAZQaLlhFenYixOoA NR15AFZ89B5p12lkZfszx494APaJsLt56fNIzjh+pz8N4MU3vms/0xTh40DH +RoBK7it7+gTQyPAyvlYjtodK4izNw1q/64HwlM2XsXei/lnaMvUOrSieH5D eThVoDc/7YNF8dG3MhPm8rRBW8999PuGf/6yOCyqj83c25/ifp2I6t87c3Y8 935HA/x5Kct2j3/+jGoaaj96qGPSXcyYaHsKO/qdlFupMGpsN+c4zNOvqaj/ YmHnwMme70x4HLqK0vWLl/+Lierz2m6mBZd495b5DIC0yyHeroKN2gsBvZWK wroAHrgwqyzO4vuIDa5/g358G0CUovn0tkZZA3NASuJb0DeEkRlsnsLVJ39r 1e1tsJcAmbtul55oCMPjLlXGvIw8WG6SHKdbCcHGotStF1bxg8qHofsxb5Xg DKf6st5+Nbjlhf90VUca7X+sc4nrWLwELI88fjDvPc9fKQ5fO+9y3nWpwNYv NZX6wUrwNsuqs2oWC/uY+RNur6RRfdvgXsyqXVNS8Co/j1ahiUPL/xSiWHRU 8EH69Pc1/Ut1IPJo/QMLjip4fDdJ1RbDwCO187fbCrVhSZFClto9VdQ+SCL2 FuUJq8IpfH4dmPL8O8oQ1lfqO/FCEwY3r36+87c2uAazZy4cwHP3H9P6NQ9U 0ftOJ3e+e53wWgXccN/WDeXh0fK8fAzGeym1A7u1wVzBKWP/PFdOADt775gq 2Lkf1fCM+IG8jBbpsDbDouszmK5cqqONhQzXfUdZsRJgliy4ctCP+19aGrMO e/Dy72FgtE9K5sVjeRD7vRWiuHIscU/+1/wRFRjY+unDpWo8BE5+nfbm9j9C q/3qzX14OGI8p/vjARYU2R0Lgz8woGgULSM5hkXr63jdGqbxnQjSfS13JVSx IPubmfdBlYTiJcxVTM3xRMin5l04mYIHRhl7P16SBmsjtS7vFMWC869Tp47i aSj9Kycr9vdQQei3t1oSMEFA7dP6xst23x8QwIF4pfnga5F/9ARYV6FpG+DI B6kfn0ouD+HunxlJ66cC1WBpXuyCI5sK7Rf1tfawVaAux+bt/iV64P/mWfOO NG248JZwatCSClMXlpI01msCZlIma6uCHjzV9GFteoMF+xSXEiYapxQHPmHa IbXlBAglxjvI6ePQ9nnx8vcTda+kNeqBt8Y34a1hehBQW31B5wcBTpemvzx2 Vg+lZ0bXp/VdIkOH/ona5+v0QGllD0FuSgHKHtryE4coqH8gxHGtWuZ5Cqhu STn5hcnzB1Ggoz6V8POqPKQ29+yOzFy8TznWuf2S6V8KhBOjJjJeqaP0PH4l FgSySoWpsDtv777uOh0UT3bCchTrsXCEuX5LmDQVHe/Xx+v2556jgFoa7sEZ Mg6lN1kRPaqjiwf8iqpDH29SoJY/brehEx7Fey9jCzdw13Po1Z2vLqZU1L49 277U6VcyBc61Xu9lr6Oh9Dx5x94rdEO8kgEvVrSo+OUuAeWqF8JuxQYwdLHc 00lcAlz5Bu+In2OBx/VtdlWx3PEqHIkoyzEA4+LisX6u/b7R4SeVzN2/h0fY iV/7tKBsd1GL70kGlNxLuxjj/c9/CAyYf3NZx2peE/7UtoQcf8/VB966cBRS sfAo78GAWBEDfqUqSLV/xKL0blWjJ8sx3P1+nP6Vkc0AW2X8yqlVeBTPm/+M 0W93utMNwKhrq07CHAaIWatWVSzlQNKvKP4Hknioj855RbE0ALWJUY6I/r/y GAOYFtijJFxCBKMPddLH3Q3AuvUyq2aAiOINpX6+3+6qB9W29Ctb1hvAPskG S8U4PRQ/13huZwfXXqzo6zq2eZMB3Lrh2WYoR0Pxp3FNp+AKk2t/mtZJnjOA C6yQK2q8fBlc/CsJOQUnY0UQey/5p07BECinVJKH/6OHR1KPTCgZovyTEXnR tlvAEPxG8g+nvSZC9ltvJbsJDup/GNEyrHS9zYEU7XmFb/r//v8rHKgNjfjw 0mrxfUP6cWmJhhw1yNv9N9n4gTFaXvpX/qaUOGMQW+2W6JbNyy9gDPi1Tvle I/2I7/mrkjd+W0LV/eSKa5dH/p1vLeZb/fv50iuKkBX8/POln6TIOx/8iXCi Usg77/NBVPhembLJGcR0an2Al5IUihfS/Tt6PUcS3hj0+DjF/UG8q5h3bQUl ofXkNO76bn6YnwjOEy+WR+kLulcMUNuVUbiT1ud9JF0eDoBF/uprM0i+5jKW l7Y8iEaWnp9OEgQZTJzMLao2St9aMTQ2oaANiUbtw0kyv5HptPSrZ+owKL5L S2ki0Q+Hwuv7R4Q8azHg1mP3yOLJTyR2P5v/zbguivf8fV9+JIaAwnwiC/oy /bpwYDT50augeSRP1Wbz9c+6oFbO8aqoXECEBBNSxv8QUXqFIw9d+2aIsGEo zDrh5jSis+bEpV/7yCj+g3tH+um/eih8d7ZrrToX/5BqfLet+ycyViwiY3KE iuKblA5iq1ToKGwZPtUdydVDdr3xPmDU/AeJyZxZUbWXCpXu4SLnLfmg2+fW kpISfZQ+TuFl35v7+pArfvv7j8BpJEjJP2dKnfdeYQnMSqQ+3+KEQWE6RlvZ dkgT1hXwU3exZSF7X6Hq7FldFE96fQbRIRJQeGIUp++bqAvHlldkmXbIQMpg 7y/zIiKKj3pc4B/He5/KhVXVCp97phNBzcFliytWDuoL69PuuFNRfF/frpmr IzQU1o7a6qTiSIWbq9c/wGJkIeNGIqGUSoWnuIBagTUKcM5v7/m2E/oofdoj 2bawBH2Y/vxo9zZnWag7JrF+A44Jfjedb9J/L4Ea9da/pYpMOKLwZI3GVwVQ 32Qi5d35L/8cn9rieUrM0cArmEV4VejhrC9jGKgeRtIYFHmUfnh/pcSr+8oo HGK3sEZIRR5qZlrda2hqEFT5ICtKFYviR3fmnY/nxf/nwia7mx/t/Y2Bjz9w efMi6nCUX2zzR1Uiir8Uv297wn0SCl8QN2q7LEGEDjFJpcQHalApbBWstVIP xYtFTwXCMAWFB7XfV3zV0wNl5QC9JXgN+DBTkbjLSh/F9zLqkwz5F9/Tarcz 7pgS9EHp0ebdYeYacMj1xTELLX3uvL95dq1PA/V/Hr3ys+PNXywKaw4pF+E1 CTCxmfw8JYXn38cC5qjFrgfWFBRO+6Tq6ZFAhq4+Ba3RPCx4x+/dSeS9H+Pi j+9hL/FLY6BwvevxxtRSOsxdPvQ39SkWNgp63SxoZ6F4KxaxIKCNBfqjR4w8 WDi0P039WmvPT5FQODorfcYzm4KuZ8zvi4U1L0kobJXI6ipvpsB27I061Xye PUGEEj9cj3g6AYWrsHaGSQm6cLHGe13YFBFerH3iPkymonjJtvUJQZJ0FPZ5 tjG5U4sKK/Kxa+QriHDOc/20SeJiPomwpMfV7GgmvIwOlT8eTYIWUUZ/1w0W is93+atsf5EF1WF1+dsiSSDJyWhmc+1meTf56joDMjq+v4dCT3/l0FH4l7M8 PaCEgdpDoekiD/PsaChcMB0dzB7TR/31vS/NdVcl0FD4z62EnmNNDKCJ3hU6 zOCdV1Lh13TEbL8Qlz8ukO+2b6DBqKJvz2A1HV5EZMR7X6dD9QXs062sxfgw l2drgowoTCAPvY2V6uTaU/nOhckbWShecMZnhZcfC3zmE6yJZ6lo/9e/3mVw XZmFwqGszwe6XQ3Q/ttYsnZWP1l8r5uDed24ILV4Hvfhq8dcyNCiPYf3nR38 yd3veedRTfUVgV68ePtcOKnTYSQp0gBeP/469Ezr3/8HTOgOHtp+4i8BXvSs a9HxZ8INCzj5M5qM4i9pCbtVPaOgMP9z+ZxXEWTQ+vpw21c7Jtr/n1iX1zdP Lr5/zPn9N8j2NQft/8HDJa3nPNkofDNXl0S6zVmUPwePfcZMG6Cw4cVnqklr Oeh6qYsmJPcrsVE4XFn6VVc+Bz3fuE8MplxqM0DhiLor1jskDNH+tKS9EkIw RijcFqVXf3OPMdqfl9WGYkkCRihs9uNiu0CQMdqfr1Hpb4eqDVE476dYwAcj Y3T+5ZnmNcVuhig8GQ/BCR1GqL3cGiMS551oiMIKkpmbDT2NQTvyV86hKl5+ N0MIbjv0wfMaC6z8FnIGXhjCcInkH6czLMiK+NW1Ummxfx3Ks2OZn03Q/nRf 0t18/ZEJ2v6qGNFlTdGL78vbs4zkLwmaoOPvynrWe3q7GQofyhxbq69lgdZ/ gL9I6FOUGQrXYbcPlTMs0PZCi7yLT/uZofAmS9tAGYoFym9L7s1tD7+xeP63 JHVj4rPzlig+cQ2pr1bWEj3PWzss4+aJt4aj6seOY27zgy7M7nfz+YyEH/L8 uvyIFNxNc9Ep1uxFSBf6bvTukwLyTRH5nWcGEJuWeB3zPnnw6/RZtjXzEzIj /eWgkogKZNcsT/udnYf4HlzZ9HKvMqj8kn1xYzs/fHNMyM7J5t33+Ymc3lg9 0e6oDfHrDzlMnW5FYu1zQ9+YasMT/Y+llvrfELOtmIQUZ3UYmDl4VL6IHwRE HZOrEtThQ3LhKRWH34hZpOyppDYMgMlfGafhCmQrv9ndvhAc2AskB2uZfkRO SfqoyQXiwDF9A+zZPYrcIm+5Zv9bF/ZkEv1+xPQigY/OzOyb1YUTusvDnMIG kF7lhR1uS3Hw6vFyz00/+WFcK+vNSU8chC8NH72ycRapDNEcmT5IAMl0FbWb j94i9thA5QwhElzpopuMyD9G6qQ+tefOE6Fd47dg37UJpClE28s7kAAuBwgr THbzwYm0sC2P48lQtlZB5vHmUsTe9KFrvjAFDqfOhKSRXyPTAZePP+CnQFMJ a1hk6BsyMuuqfyqZCsE2jK2/pnoQqwETradf9WAPYfxOl4cAuIxaU0v+6EHC Ry2GAGMG8djZIbpXgw6j5srXXXs6kJEtGjd+luuD7z2L1Hi7amSd8EUbq1J9 2L8duXiyagJ5JFN+UmoJHc4FDDvMTf9FdqXuV5A7qAXCh+7Fi1eJQYNebX/s KQz0/HAcX08Rhrv746xd1DAwuWvL7VWX5ECrrbb24UNdULr0Lk7usCj8aJYV WW5HgEeS39PenxSD96Qnq7PeESFzUI1mt0EErrGjdcWeEGFwUPbaOX5JsBd9 hIv4gYeRnabNuonywD7YWmghTQC1q4Fj+C5Z2KcyRd/kTwbLQ39L160SAvUO GbEmeTJkCJzNC78sD4clnh70CaaCz1z+MmtzUXjl/5iC/02DHObVPZ5ZYpCw VtD95TV9GDaLtN5fJgzzNX1Ojuf0QcZsfe79d5Kw1vKE0r7XNLA5fJCff1AO zGrf/o5r55ZXKFwfyJIDt3qf7+9pTLjnxprXzhSGIUM+A+2t0nDh5QHlv1uV YI/Grqeb/aSg9OLmzoupyvDxLlXv0awIvF6nu91njQasPW3w5JKZAugtSClX +StDcZpkxvlfipBq4f1E1FwLXum/sVJ/qQSnrJZbW/tpgO2vPrPKDVhgFaj0 kiKUQb17kn/GBwuX/Ye5W5gyhNDyQhgWuiBZPya62UAR5s/n5U9G46C4rFkn ia4J5+5eeiN4DgfWAeu1MxEN6Ah/VankToReJ4kEj1Yl8M1OODL9mQSCHz/p 7dFRhgi39s6uI3rw9lNRVXmpIpxYF+J/yU8PvHSd6OcLVEBz+TohvgASrMf/ Jp3g1wJbB7vyR+dIcObZJnHzYnVwKq4dDS6kgNA0aySgWRPIOGbGwHGefq0G O21/Koyt0wejFR+ar/1Sgo15Ao1t/4nnolgS1vVFGfxspnaorKDB6VubfoTM aEHYUtuFw4do4Ny0oVqrWw20xhhrZToZcLlIxn1wWBM6Wm+lGmS/QkhfvJ7I 7cKBH+MQ0fOpNGTO9TP8pXXAiPGw3kpNCg7uMQ98QMYAKVbrwqH3ZBAWfX5r 2yUdGIgyt9q7mwLuse4+p4Qx8P4z20/qsx6E3Y0lT+fpwvvNCgc3YCjw8Bs7 SW8lDkwba13LJujgf+sIFhehAxT5p4VxjxngOJmcIJmkA8x9vuqHdzDgz51L CVpdXPrnrpvsdjFAKboSp5SHA327hFL9ERZ8HZDRKbytDWtnauwud7LA7fZy mRVcvbzLzslo23QLEppqjdfl2oVavSKUdsIkcuH43YXGVDzcDudviR4dRcg/ J3Iz+/FwnKK4n//TU0Qiw4Vu4UyGu0G61DDxTwh7X2XhGTx3nA9esu6tFQZr JaF3ElfI4HyiptDityg4hCoc7CSRITxyd6jTGjycy0xwyInEA2WD1r1qMTx0 38rQOBtJgOffhOJv0wmw92q89OdWEpAviBUqGhIAd0CgIfkhCUqGbPfdiaTC bNejsvZePLjo8a0286FDwb0DjZpBeGDf/8LoqqNBfvDPoFAZMuQU+4+WfaRB w5M95vKXSJDKrqp/W8yCQwune53xBDh/tD5zvIgFe7ae2OLmQYAvWMoVy51P kMRlOMuT4xQo++Io0y0wjgxuG/8MmyngLFnv+2iyBnG36FIPjKTDl72a+iur O7l2vUjTS2c6yI4qdLctmUXObTFJJafRQOh57/LZMCkwwy7/4O9GgXcDk7i0 34pwOzC6Iu0iHY5JzyWp6SlD7CaJA4e5erVnnIdRXaw+3Dt3Dk8v1gOPn8FC s976UJlw34V6lAKCflcz05yZ0HI64mDiiB7k/sCEfYtlATEtg1/umB7I95/Y 1J9ZizCOP38XOsQAkaeu57SOjCPCapuCtsQzIEb1nkqP0VPEaSDbN0OPBXdi bzateNyBxB9FZlJ1WHDKXeyKXNAs4nJu4J0KnQG5xTP2J/V+Iy696T+08Qxw Z24/aZ4mCIfsD5Al9ugD6/zYnvsC/LDSrMa7q04fiBI6uPWZs0he/f3uwf/E DXlVhlslIwv5Ujrfd7JYkPnCzilYgSvnWj6uWZBiwek17w+wzqvCQWVJtctq DIj3FD3svUkVymFJ8BSHAQ6b9vWUvNOBk9ePrW8XZkFud6uMlQYGzCWlzEq+ MEHjTuRphhoJREiZB3WV9SEOV9O18zwRtqp6Py4KYsCLg4H25FkynJUwv60r wwD6yiIpWz8KNFsMfr/fz4SbH7w1hzJo4PuVo3xanwXutAT9N29p0OljRn/2 nAmtvjI6u90YcD/OoOvhfa4dox7mOSLG09eYcHid+eFrn5nwcOkD0zYaC0aN /J++n2LCbV2XgZgKJlR+js1off4cWRcfUJzpawBKu+8IlMeNIw9ijVpDrA1A 4FqhbHhcA1LLTJQcT2dDVA/S67rhEyJ5wPVC5zk2bF5Ikc/KnkWOJDDD1+AM oGTA1s+lXQAy8eR9+qMscJRxL0kM4Ae7X1PxRb9ZwIjJbTnK1RMcNs3u3RDM BkvdoTCFhVnkh/JY4c2tbAgslKKGK4vAC6WzLE9tNvSO507gaDIgoOZL23TX AC7ERz/4skEBBOvi889RDEAm+ZSAXJUS+JXgLlq6smEhw9i+LRMLLUt1TkZ0 s2A8Ye0F7Cos7FiVbSKkZADvHy1PvnjuP3GjE5p3r2LD2ta93xTPNiAld0ln bn7ggLoy/diO6nHk7H1BHcoLDqyLG5D3oD5Hlk21UQRwRpCbdOiTyhSXHxNM N5tijWDh+M1TYT9mEBWlowOPH3Cg0Vn3shtRAK44n9p9L5UDmw1Ux4V7+UF0 ofFpaToHPrngNCrMZpCqTWl2BkuM4PvT2KYM6T+I3FWluJviRjBPvCa1bZcI 7AkKtL8bxYEuTLmnrbwYnM6dlzYL4ICJMGMn4rgEHuZLxjjocoAwQFo6PyIB 52H+Tr8jBxYml+mtnREBGW+xj8hbQ2hrdlwl+EMGpOIDfX4eNoTfC28exjKV YNLiWLnKDw5cx1zssx5QheiEwsS+LRy4bdFX+5ajCvss+QrXxXPgbtnN6dBm ddBwEXw8+MwQ7EXeDjl/+0++tze00CwOWAx/jM36qgsqZSkOw1z4sK2NRnMm A9pWlZN/zxmCy5m9Z9q+sWDF23cpAVgOZOm+YXQ0s8DG7gRE9HDnI0tV9uTa J4jlFZfY3BhjeH3hQP5Zo0lkN+3Y5NVdxjBp2Nbmq/wLMTUnF5TvNIbssrr1 NyYFQG1vg9FvL2NwNjcC6+tTyIrG/Xt7Bk1g9k/4HtbgPCIXoh5l0GsCXu+F ly7sE4F6XJtypb0xkF//tLruLgW37FceSMEZA7swmxC9Rhi+1a1Y6tpiAkfx 9dFhlWKw3Uezqu+JCSTcjrj5M1QWpldn+SrMGUExvstqQlsOxnU0aIFfjWDj 1Zc5x+0V4Y5nuMKHbCOIzTh+bcsVebh6b138TJMRCJ+48V3FVRacWuJGo09z +7M8flWYqBxgH/tMUY6YwICwWW9ulBLU/FnZd1TfBJZK+5eGv1eD1SvuWpAL jGFv1qvCtnNa0GGjXmOONYY9Ct57rvty9/FbFiteNXL7G8N0z3bCwJXTyeaV 6Saofdl2dOyH5ipjaA4vGxH3xcPyF2eb2gqNANdN4Rxq0wXbfL1Xx4WNIe3M 018GkizA9Ucc/+tvAm5bird+fFCEGO8Vit2y2QwaNsd4g+M00swwa4vm2luD 1QNh9xyFofeyQ3VrqBnYvW05/EhXEcxX/CpbKmEGIphRqrWeEtQTjtVmTJtC jpRioU6SKtwPUpx2yzOF/N29u3LEMaCwdeR5+nuzxfcVFYIaG4pNQVxfP7FN Fgci9fNq1xlmQGEPlqb540G8+rD/FropJHVRvU8+0wUv1SOtQ3tMIdh2s4BM YRsS9D1QZ6OcBTisfy6DWfYOeRutoPtE3gIml4reWMK1E7yedvYV/yceIH/i 55+bZ5Hp0jShn3oWEFse4HHcVAA6Hzk+naNbgMQYycpuWgScruZOAtUCwgcT Zd47S0HDix2xm7AWi/4M+SfS60UtwMotO0XjgiwkUa++S+K2b37k56sz7bJQ 4hX9SEfGAiq3O7tgbyrAsMrzZpdJc1jtrhnYOScPWds9r4z+NkftX3mvOoub 1ebw9VPk0glXJbjnY5FJ6TQHPn51c8JJZVhRSLbIfm4OJSc+xpumq0FVjZJE /wlz+EDnt8xIU4FDQvOTow/MQTHE7T3WQR1+SP793F9mCTUYdYfYYxqQtqer zC3bEr4dfcY336kDERpktwJLS3T+Tzv4IzRnC9i292VDwRIcPC/PvPug0AK2 /1CYUJLEA1/slmc7BS0gPbpaofGzLmwyfzIdpLhoj8+YffbdqWEFV1k+RTjB KWTPE+3eUmkrCDI00JYTW0DokSlF99SsQO1IvWaBsBC8VVvrTMNZwb5X25Ff j/8it9eTpJ5yy/PsdR8lYps90QqORvoOmROEYTt7KPyBrhVstXVUZmiLg5/M +TsaBCvwvLb9+JdVS0At9KhYLtYKghEGrnSVBChKuJC3EKzQ9copNws7rmwF LcXJpOsbZcBerhyyMFbQa//otWarHLyk6Pc0cPEmL4W6+pMVQX3N1iANQSv4 e+JQajKVa0cJ+/+iKFkBefL1e7odDmrjKEPWhxGQpzq5/tIhQKWSzR2MuTVY RZU8XrAlQP2xlZu7jawhlNWj88SkBdFND9w0stUaPpwxvr4+h3dew8enTYqT ILvx/N/iYKBg+SAxTQ6FEwlBocnO2ii9fv1X9i0Gzz8gBNT1hc8fZ2CAUTah Os4RRP0Xx6eki+Yu/0H062q3RBXxzhcWkDWfSkeH53TR+i48kzzLNMOh9bnN +byTFV58p/IKiQ9ft4UMJVLYtPFHgqDpOXusNZyM1lfg6J1UNKyHlqcP220x rlh8N7BsqzhfVegUItlyP3jTmyX/+jeLiHsaR20nS4DXVUaP4RYR6OqQ2/iz XhZOz2jN6NTw3lcs+fd/iMJmTVaoTbYMym+0qNUB25arQAnTverPfr7/0scp w3epFeWpW2VhA+lK1ashWRBtjXls/VsWrY8XX/mhZ9TBnEYZUBhl3ZvTVQKW 7OdeZw1ZNB5bR+Av/oIr4uj/GbbCNq74oQqEW57x3XVcBW3PV6I+ZkFfE+KG xwtJTQogXmS8JPMOL96VHIRNq+8Jr+Hlvfv3/kseA+tJr76c/SIHV/0Gjmy0 0QXtpq+04gEFyOUP4svdpouWV36cuEGqA4+WP5ktRIus5erRMz5rZjcuAXl5 8zrDIho06wlw0tOVwFp6TNT5Ig3uez2u21CnApynOLPG2GlkHcbXP/i7GrCI AlaM2lmEZ3/y1sPnoHx0jaAaPNiPF/1m9hnh+5P1UY2pBV4lO3T2/G35R8+L N/UGkY/qcVj/QQu9z5AqyD8ZuqAJI4+cq4Jq/t1niNMAK1G/THrm3H/LAwbO XPr6/Ol7WZA+U5goUK0BF2vnXy0h/rsPhL5XkwXlvZSK5DneOw15oH8/c8Rn gxrs9v4YpjMri9bfJmTMd2GzOrRdV6K+ceX9FxqwaflJywwfVbjqu7TwVpYi Wj9vPa/9WZgikbHw5umUGUbg33sRbv/uqhHMAyw0UXiHooPf2uMYEGdrYm97 acF7gx1e9EYM2j6f2maLd4BD6y/q+0Q7/YAAWMzaoaRILZh97uxf3U9A6R/2 Pg4adyWh9BWOJMH7jjQUXhVYkK5fO4SsXjBJWdaHhd2XTxr0VguDzd6CLFUF rv2s7CSyp+vf/xGHRf8P2WHdQMtiLCQmE+Qng+eR4dMJ1B03dCF1hYhmbjZv vfHoek/vbzq3dkEXNDYr3xwNlwV1d1OPH/tx8MQNvjm+lkPr563HYQe7LZec cVCjkGH1+boSXGdw3MaTcWDHTMqQbFRG6Xn/zzGOXnO0Dw5W+Br2Z33/Vx8Q gN3UaX8+QR3KlX42/bHHwQHfwjOhphpoed763fN1ilxVg130D5t1rPbyI8CH nAb12ZUqaH34ERP7MQ0dUOTrHb//CAv6O7Y1tRZiQOjs082caV30f1tK+FNb aoMBWbELCltENNHyvHh9uE7K92g1HMhLjXO26vLeR3Dng0M7s+UHHnQdc8te W+AW4//lGmyIw2Jhzab+BwY9OHBL9Hw/ztaF2hJi6cbLPH7Ao/Eif1u5Nizh 6sm8/ba38CMF04yFy10rgv0FddH2eP5m0+F1Pc7pBLDp0OAY/iSg/e0zX618 mkKGZw5J4dv36/43vuwLEsyJXLPlYxHQ9zwZjgpuHD0caEqvONOyiozWv2NV bsLFNj20fwFGrqe3RNLBUGTg++d6XfA2/FvwJ5WO0h9bsj/5Tg0Tlihm62A7 sfDlQrBXtQsDLa+iZ/M0NfEbYrz0RnJBCQkuJ5iLFQR9R1yT7+iV5pNQ+dBi Vk0/VkuG8mN0k4MuPHnNO2cVgBPj07smOESIip/adjtNEiYFBXaXB5Hg+5h+ D1+NHNyr/Nle/YSM8qN1i7y3+DQBUspPtSTMK8KhvQuqNl+IKP/dU4Zbd9yI KP3On58ntJbqQa0S3uwSQR3IStnI3VFe+xrg55XbdpFFBAN23jcJUR3YkVEq H3iHCAcwW6pPXMPANPPWuiMfyCg/Je79WMyJXuSfgwHSYQ9XkFA8VSbdaNOI HoS8jZN5Q+LxEwlk6+5u0ZrFQYPf2Gv/zWSUPzoxgt1Uuh7KH6qvL/UPpJLg 1oHVa1JMddHywunG7n+8SHA/zNqqcZgIfwJzp0PqefuD3r/3QXpw4LhZlmEC CZ4Jnbmj7807L6NA4+m4c2WPKVByO2ed4GEymm8W+8Oqyc6Agr7PEb4r11jq RAJltm9g9hcK2n5gZgbOdlofpAw+ERnFRFhL7L/Cd4GGtm8znvbVxmoMEUmK OvqfODm8+3y1E90WY000WPPueXxI+dR/5VE1DdTEn31yLuMDFZfNJ4oxNPjQ lfZFx1AcPKQ+HPpeTUflW/Nbe51QSyoKX8wNGb8qoY/eL3s7eDIpuZEOsuPN BlO8+y3o+0oFiMFE3+g1o0KjYKTPywHe+y8GnLDxiS9pVYG03S9FPcg0NB5t +IeC43uFaQD4qB2iVzUAp8nnecKHDiantuotnOPtMzw9RwNU//w5//cxHVgx FU6k4//kC3d8PP7Yjg0h6r2jguINAe/l2zBQXLx15bcddHB9aL12mywGrY/H PzeOzgdw5umg1q1/vPI9Bq3PMSd4xehTXXR8vPuV9Kdnr70gUOHYxZodgt+4 cvWuSFOTMx0ELnjsun8Kh9bP4zcV7EHjpo90lN+0GPfm4s7SIGzswf1XbF20 vfwMyanJWyTgnEvNDjhIg+Fu3LWQPyS0fZ78KdZwWmGgRQPqsnyDjtUESHbZ fsl+jgav9w+a6Q/i0fZ58hN3/bnDX1s6Ku/s5wbumFynQhbRjVC+jYC2b+qp sER8TA847+6PBwxRoXfi5uAtFSaKV6XZ7PmKsCDf1Gyl9Hk6aB2onLCisEA0 UELD9rE++n4xcqjx7JduKjTUWt84sJKFln+X+ljgMH4MyTxHaTWVYKH8mvFj Fa5mkgkR1LwjDwZn/suvPUz4xSqNXWnCD2OZ2M3/yWtrJn7c+xBJEP6syH5C S2dCcNLouSSvf/o8+t5VFEzevZfR2MRE7wdiWsWwGfbc9jRfzGrxKwD2GPvl 3EMmJOCNtwoPKnDtH23fqrNMVJ7ZE5kLW5lM9P4auVnxvJE7C+pNHE9cWq2J tsfj34Jt51501zBg3P/qpU1v/+2vGANo+/ZYS7ITAx/bxPCYLUw4UxmZOpyr i5bn8VNPQXGElQATLttEV+x/gQP3zbJD/YIs0CsIxA4S//FTHGsxXztfa+AR DAvlp9xdMnf8ufNBfG8c4fXzHz13/tYJjbi7bSRAhLzoN3txFuhXeOkd7cej 9fH441pO/9clBov5bJ7HrG09kMRdj8cWFJEkAlrfsyhHUdkhErxbXlOoPM+E C059q2RiSGh9PP5sVJW2Pc3tH29/lP+roT2ykgm4XM2uzHkSWt8+ralSp2k9 tDxPPuaGPKx4OcoEoZd3co7soKH42eQ9Pfdn9FF432mrhhJe/H0uLPgijYFb M4aYa5qMGR5ZvH8ed/Wz9q4YNsT8kgo7eJEf0tMfN3gsZwNRYKuH6VEBaHnz 9X2fFRuODWEJMTslwP/euVDvrwaL8q7wZbFpLBt8+1IeVnr9u0/rxwZLelVq Ybkc1AeW1bd1siF2vXhuajzP/uGg++GbJQp7q3+zYZmL3YHyGyrALqx5Z/vX AIqlz7fMButAis6PW8+E2fBSL3TZIQ5P/hig8olw67ag0WsD+CRfeQ4mNCDD jnlw2Vs2Kg+/qRs50YR58TxxYN/9y+9uPhvc11g8UdqHQ/s7Iyz97KTtv/qv cCCGkPLayEMXOGtOJdY2GMD+059Zj22JaPu8+8mVxPB3ykcMQL3hEVt1EwFa L1Q7ix9jQ2TDTi1sI0/ecFB+OlfiEBB1l43yk+uTs/RXGDYMykk9O3OGgPZn p6pIUvhfMtoebz+NiK08tP22AeTWqG+8iCODXH789dlSNspfNeZGDYdkONDo pXZgmmcfc+v7v3w2OVR4eJnmGfPcAIStJU9Gd1KgdlMgZlsXG+WvP5JXXnrH csDbKX/kh9livO5Z09lw9z8jSEuCYIm9phHKPxvc9yUcVjQCu6ffDU7m8IN1 xuVs02lDVN8ajLuM3TFgCJwrzbHeG/7FL+gxhEnz4r7kBEnAFEWeiCowhJBe G5VgT2nIVoj6LHvZEO4MyT2o1pGHzJbtUdtdDNH7wJGaKqZiPw0h4e/TqSGO OlofWWZLs8N7ZbDG7EwO8zKCEj+7BwPnefEojFD5Fds+N24dw8Xv5nvJKdKE Mu11KfIRhmCQdaeSug4HO+u1rxamGoLskc2ySd//8Qcsxlt/c2v25fMQQ1iP q8LbcfWxq9svac6FGKH8eG2/hursTSMQXxqC3RlORMvz+EVqQj+IZGgIN/fq t+X4E6D32osvxySNoN8j4OfpQjzaXx6/KLyu3GevZ4Tyy618e9PyYkOYNyIc 3ptFQMdfmRalpsPTh7nl/09/imPARxnZBRt9IzRf2Kmqq4+th0zgY1A7ya// LzLSKMlp6jZB1yu5Td0x7bUJTMR7sf9fV08eD+X2vl2kbIPsxs6MMSNjxqyP JKFIJPsWxS2hVYvI0i2ypEhCVEjX0oKkbKFCtFKikKTI7VaWSvjO9369x+/z 84/PM895z3vOc579vOc5mUPi4HE1bvdI1WL9W2//PzfKXaDD2xl+ARkrWRic ajAR9qZDSwPdZtpeFmrrelwJXnTY4eeeVJyuAJ+erT7+c4qG6o+3P8xRCHhH hxcFNiOdDDyY+/3UswE6lDUquz8rwUOFYKD+Wyk6ondFxwPDy/k0RL/trH2c ge80GPSuVsrYowPuWjuqBLPpQAgVziXUYvJmjui31wau0uvoiH5uXSu3UXjj 42Ssr2vqxuSNDmf0Xl4KHySj5//9vp5nF3RfseMSttOh9RJZJ6F4hBtjNB6A C2OAfUMqafzDN+462dbcL7sZIPWyQH2XFR/4b+fahe5hQH3Yy+cOTwTBsj7m sE4oA7xXB/CJmYpDjFjT6x3eDKT/EjkVXBcmA9lTssl7ri8/E35WfWs0eb6Q rxlggEOa3mrOpDKoj7D1aZuZUB3NbrSxwOqlYPedK8O3hPthvTuZkFJgFqYu gocet6bNUkkMOHdr9NZcsQ5EmWgf/8dhsX581POfZyXisef5+H77PtgmIcZC 8vZ6lXpkUBMbvuen/G6bloccPeVU5igbTlidPZXwFstncJB8BYjrucROsaE7 2OdalqsqFH/X1RI/zIaj3X3+IscW8oe+bLAWKbj6xw8NULq/V6x2HqtnrA1F AdSJ/essoOxJ4s/ja3SBPn2pUwpnAcSHUWEbvuuCtvKG1q/TAF2W6+3eJoov vF8IVG39hlrkZBAc1+c4pC2qgOblGvSXJeeeEvgMr3/gwh3g2q3vLiHVKIE5 ZUfUMs5HLuavyOvF+qvkiYKK9Opjo51aqL9U3Ogz71gd1J9Opvvn/bsJCF8y URIeo2KE8P6t5ZvsSP/nvqt//wTgVFaiqesqORQPUOw/VnxnyIPTuDsIrMHq o+MW/IMVsMuivSpsiyzkHjkevzVMF+Exedi8fBtfxicZFC89cnJV6zFTgLng 9F9yYtj3qPLg2JUxFKhDQM//8kjVdV66eN9XgMPBtkgcGeGx8faIGrYWnlJD 47nMqtr56YQ6xC/Zo7tFA/t+XA35e+lSIh9mc1TAutk9fXpKH+Ex+2WrGCMq E60CQs7tSlQhEsL/7z/PLjlH1tGEMDrw8S3ZfSRsspIXp4o6b6z+snThd+2F +2wkwJ2JvxwzooXoqXO+NMPKSxuNd2LDrTj6Bm3A/070X8JRRc9j47UJ0bjz Ml8LtqVUG72z1kV4jL7eXgrHU+S1eHbjxdiGLALCY/b0YXT4R3I9xicCkDAr bfIPwQAUztU1Bthg/GeAxuNINQ7xMteHZaPEuNg9KgiPjSdf47jkJgl9eCnV VM++qY/wzw6reIV7kxH8rz8fQIYGUpm9Wr4++GbbJwgdoyC8qE2+YcGTbwv5 TkNITIoXONK+kO/nwRi9dnxyedXkRkLrQ9xGPxHeQEL8tGLPnYmUBmMQWb05 8gZ2XxQvXv3dbO/eehCjBwnRw1UI/3qTuxEY7j6/M22bEWq/8sxjztUyI9Qe 8x8elrPuTnsbw/rto+M96dNcrL1cYq5Cj9/CemP+M2+9d/V7bfpzFwXCtsqK FugoIDxG38IWj6MGTAqiZwC/tn5e+WI8tdvF/kq6qQmyZ4SN9bSD100gcd1k 6pm8hfN8GiYoXjYYuZg7sdwU9jXG9N5jk2H59SyVE86mgGubEKhwxNbDFK3H wFr2G4OSRf96YFuYaF+jKfKX/UfzvlgtoYI0UeqjcwQBrK2/m81OmCH6jXdZ duo1mkHNXUrN68PY99GL/tbXIdF31/bQkL2+bow/Z+tEA1ZDz9WDFxfWV4OG 9LelSErRwwoaSIS8p1WeV0V47S0R8bXP9eHFYUcdyhZztP5e/CEODyjmkKQq EPXoEgm+GYr5jJ6goXostDFv9ioqD7YjuMV+IqH+MHmlHE3cUO/PQPO1Pf94 mY8AAxpHQn2TlyycL80zR/TdxOE/vppnT//3tCY8pmSz1pkxgO1wrLY8gwwx VUEGu/gZMBwR9Pfqm2T0PEaP/YV2Msa6LESPVdlJRwONWHB3RVVOdjNGDxZ6 343nEUpSwyz0PtahPPvdVSzIzg98ZhNrAKpe95XeJLFQfSvrCrmppD9Y4BGi Uv0Lb4j6y2DJtJLWasOHmqeZE9OL97V0loud9u7nwIPPn0g3XxZws0ZnjXP9 LYBwfLQ7sVUMqt1uxxBkFNH5KunDzDNNbdoILrLOIcQLY3IiAPeiN6w6VkxC /H1K/ZGisLExak+LDfPXEaGg9s29FSk5ExQ0X4oiR3LLMhPU/mCmifzvuJWo /Ryb7TN41hTJ162OVoUzTFP0vvvE+qCug6YoHpf9NDj66oIp6k/dqyZvTMkM 9We9rOjtpQkq0i8r7mV/GatdrO8UFPVx+AKVjfZXRbcuKYphYue9ZUC4jGG1 mQMo315cEG/kaQro++gQUQ+akxKg/cU/m3Hnn3Rzof7eD18DZUzfkOHNv+Ml ghi+lBh8jgwzRN07OUeNER7zj/vSNq/9ZUlG/l45K7o/lkNG9Y2oDhepIYJU OKl6yTmOgPGfKawXCg9IFsDqIVGBvDTnwCk3CpIHmpLDOk9TLL9Dg+hnngIV oXog/PZz4kQVG862bbunP6IHdu78taRINnyMrEj9OCQEOkaUPF44Ba3OlPYf KWLQ18JlreHRJ9tpvyTj03LIjWqt3sijj99Jj+9KP6WBeaBi7r+w6NKLxL4i HChKVmY2MgD280ed9JmSB5EZnV0tPPpR1I2s49SV4OeYV0+KLoCueH6i2h1l EMl4/uugKsCNXnPxyDl1oFIP0GK/ccEqxE9oi4YGCGafPVc5zkXr54Yf34qr ANi9dCD3sawBKBeYGa9KAQiqj45qkTaAc3CCvyEFq4/UzBWVDFpD3GoBh3xK A/03zHGtzGXDn0YIQuLnpsbsVQv5d7457mBXhOahcqxeozRUdTc5nBgd4tbp bbFkvJRF+33vZFy/4I3lkLwL77wn7NItA6WcHcWvOrH6eNJIv68luqY2VMiC nWLw+xa6FMJj+mlrWIzXYSsZOJMQM9nRhkP4bTF9G1eWGiA4xHHfa0UNAlxg nXbsPoyDn6k6MT/ECfC4vF/YZZM8tA/M9yU0YvlnHPSnJ5hZ8fypH++oV0Il cRBxoV47+U9sfspIPxsc+u2+xlYFhlc+pnfNL+hHHh6Tr70ny2vmMvGw3SlO T0xg4b4atD+zHM6+UdE319UCp50Cl3ZISiE8Nr8Sh5rglu1aEObNd8wIq0/a oIner33dgtCnqgUvXUdWJOOUEL6yY/3U641q/68/bTDPpBYIFmuBY0lwbMpT bYTH7i/pPVgisbZDE66Mu0RH3iIjfOrGNN+VyyXhWvtX+7JMXbBsCVGRyl2w tw16UPM5teshThHBaxL93nZ9UEVwyjLq+ZvqegjueRey/kcnCcH256OGtVuE wCCDX+J2JgHpr+3WHzntjwjoPKz6M6u28z+M4KdMgQr7NNYfERQ9lymMlRkg WFQpMFzDkQB/i/rJ1efw7GC9kcAOewJ8eLrCMbaIBA+ST29zLzSCGs87asJ6 JBiseBW1OUoYZHdP6eUeIMON+XOel3aKQDzLyo6+gwz9P+QFo9/gQCE6mj+V 5yfo5Px061yOnYcmL9pDJeVEtggZ6eM1xX65h7pM0HzyJ5MKRV6bwBVDZpPc 7AJ9fFdCKWN/MMMfy5ebIH29V+F1R7mzCUyQ5jpTLMjg5zApJrvaFJg+yluJ pTJIf2H6Gq96rIFoTEX+k3Xc7JCMNRV+z+D/nm/D7tuigplQwwsZeyI8Ncga 1PhOhQivpTqPPIkIj/mPd7cP9S3bSwOvkx4rSh0ISD/+GihuWLKbAqoDRu4f Ss3Q/MTzLgqXvaFB23XOWhENTagNdEvS7KdBorO0hoqZIdRPvmy9xaSD2pJG Yl8lth9EQ/mrSe4/65sU6Ehf3ad0mWmVmEOw4Qmr8CML/jTPfwj7N/4lQVqG h+2gGh0EDBULXyYYQdfHitCmH3QwWLpl2El4gb986ZDdXMGvwycJrV96T35e y4vXzYZG637gQb6sM/obneffZATF5Djogdq+zZo9wQzwsBM4vQ3bV+TF71h+ brVl1TsLFQZEfmYn3nAiAndmfHSVLQPZq7VXHWW/XDUHq5OXpepmDOHxZdvN fYeYaH6flkSoyU4zkb/567z8A9w5BkQMvukJ443nt8R4VmE1CwL/do55d1sf ijWq5paJs5G+bE8kB9ZSAa6cofLr94nBl0rj9P1MQPokqCjSzZlnT05NbQ8k ispA3Aa3IgsOIH3yVeTXHD+v/R8RuJAQNwW44OFL0lsJSJ90BPwyWmEAMHzm wp35ORWwuBIY80gWUH7Din6HdE4IwEW6zHTYDA91rSfXHrrLBZuE95YjZ/Dg MnZFX/0KF+BCZeR2O2w/gIv4+X3gLt9EGS6oGmlaXWgyBEvCC4dCTYC+2Sac mAt2/g4QvUqvW2Vk8MZvwKyTigxa4L8BLsRd9xuTN9QCGf1f6SNhFvCBq30x G7uvLdoC5Z9U3hQde33IAoQ91mu2svWAIyFw3+IzoPWUmh9nqjwHMKdPlF8V JcCyacuSJznycDG/idarQIA1NY46W3YaAygbzLj+t16iz+d2tWgm8relb+ne P/2cBemHigsfVxuBxfyNk3t0OEj+BzPuZoVZYN9pCEBhuCz39jQBwbiymr8o hWQkv8W3ivglry3qD22j9NKJTQyYOe6cbBSNh4kpy9iaLQzQXNERqHkAD25S JuGDfSxo7d0/nDFPApeGe2L6QyzU//7KkhfevXTUn7qy7caicjrSD+rsmi+h +9kgNTysfrce86+Mof3ZzMWdeAqCE3aOy4tJkMGSq6S9xUEe5H7P3EiyWA6n iWHDj9p0ITtC2xZcl8GUpN5Yq6Ae1H+QK/OhCUE2Xi+SUkKA6uIU0T1NAiDZ PSwt2E+AwkO6lk/3GEG91cjmmyLGYJoUlt3nIwiKZz7lxqeTQWLfIT7Lr7Lg 73Zq7+1TZLAotF6q404BcerqsWhVGtK3xEnDjQ0mdGBdbF2DK8NDt/bS5+5S dJgptExKv7YcLm0K7w/myefc1kfRK3IkwGKk/s42Zwa8nJY50HMF23+RB99k iX0pIRisDBdTbHsnH2L6kIz46XaNM+3OtDmCiaEqvVpxLNB1Ca7YIoPlY5gw 05yXKDeAxQEcpK8qXWkJDuXshd/5+KSW0Quc/Bbv27q65DYp9C+ePkuzfRUk YYj0V+aSeDnHmxj/M2Ary+kf0aKF9eLFM7s7jPB1xzB9x0b+cch8+GZjBxZw BU2CknUXxpPHi2/+YHfZzuvCDd/Cy43naRB7+lXpJS0sHsbuKZSBDgMVwrAh A/nzAswPTX92mkOK/bXcwg8aaHzYft36m9y2yzx5T1hnH0/xJMMqyZsNZzQM oDxhYBp/TgNy09XkPxymQ4xlcPtXfjIQ6n7v8G02gorjgbIxzRrAzupNswqh w19zpfMGWUQ4e+vRmpZkKuRHHlT4lUaERk5uPC2TCqcHhpyOpBuCyknVyt10 U5gaij9bdU8bagM2yMo95kDAxV1dwzz7tpGR75JpxUX6+dybgFFSJwflb5PX kY/MJdIhnyP/TkzeGB5oqH2u5VCg76vaEaamMUwqfdUI1aJAW4IlN5prjPjh 7X8fN+LJSa+0mhgv7rCq2E+L8+eNd/U49a9MClh/kR4SzuTJtWep+0q2DpSG yC/tTibDq/mHXZ7vdeAy+9HRHSlksJViirr36IDwtlfWO3D60Pbje/XxZjPQ 2dgX9nMU2w9QhqgU1fZZ7Dw2z992i2m7GWVMBvoxz9dp5gKg+6BCMolMhs2z pkbt3Xyg/2SeGmeAtReD2AOnXx68owGt/X+mnQ+jQ46FXd58KwnkdKM98oco ED7+0F2uD8s3mkHIR5+yrHFVGHGPEZMWMYd9bw1SjyoQ4QBjvsDN3AzWt18r Czj9nRvxV2vErhE6EPPTtlenqcEzV6LA9XE6RKpSGk+1YPKAh2O93bdtBo3B RkVh5YsYElj/M5lQ+EQPcopmy8R/m0Hl49m0uzz++XFb/NlhHv+8XVivsUhp +TAlKvL/WoQ+Zpn3saH3dV7q2bVY/GYI4bbdM91rF+8vPeb4Nu2WDxk6y/SY 6uP6C/paA+pM9yoPldCBUu23tT9VERzX4kN108zh7+THsvybiHCirABHHaXC d79hVskHRVhBq/PoOL64HzHiyX0eV8hB9tJ8Z3KwVLI5mM3Gx5dcJoOTXvwf VWu0oSN9xNMwhwy7omrj5fu0YUSymu+KysJ6kiko/hXzud5kvYsOnp6Pr7hP l3Nzm3FTYwN0KJkdv2oXrA/Sz2OZFYew+FwZRE2WvhsKMgeR5+tq7jF1YM0Z wZ3NlzkwrCydF65hDH8/Lwg/qEeBSr3XY/UiymB3vXlWltf+lKDozO5aEnh/ 6YgtnqUAbTg+FPfBAAJTy++YC1GBLtF+Wk38Jre7s10YN0iH/velfIk39CHL AR91n7fe/zz17OFk6MK68njHYWUOPBkUOnvlKxG05i2nr+KosFH62vzKDjLw E3+lTjZpwPsTT50OBn7nzsUyCAd4/GFJKdY8+UoV8vtlGlTFzMGuKMjSMkMH IinXO21iOfAfzhKW3g== "], {{ {RGBColor[0.148, 0.33, 0.54], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNVV9ozWEYfg9yfmO/s3N+J2xSiDsZuUTZlXJDKTcuFRdTXCBpduFminAU xRpjS4obMXK44sI2uTLbmD8bltSxWpQbK55nzyMu3t73+37P933v+7x/fiv3 HNx5YE5EdEPmQvZlEcdyEY1pxKV8RBV7A5AzxYiX0G9KESvmRSyHnMN6cH7E d9jPQ/oHpOb9prz2liURu3H5TTx0rijMetx/db7u4j0f8O4R4N9DD2PdB3sE +jJ9yMuXu7Yfhux7kAu5/75hvznRPjGtsO/DfgZ7ge3+kO7z/qlCxGfoa/WI GZhp+HgL6x7on3OE2ZGXr1cgSxPFxnhboAPf1iCGQl7fyV2XsYzrKfhaDfsJ 9NuSzoyV/uG6QtirxrcUxW1bQ8SSVDjmhP7Rz0b4+yKTn0XYJyEnGEe9uKpB unGmA9+3g/OTOfFO/ntzwhG/uV7rHsf4LS/cq9A5+nyU+cL+L8ht7B+HnoK0 QcZScV0qC08s3+rMyw/6MANdyYtP5qniHL3C2bU4Wyxr77wxM36Lb/L7eef3 HfDrsS4Dvw1+P4BvmzLx1mXON2aKeSiVH+SVPh/GfiPuOQL9OFWefsNelyqP WzO9R+yj0JsVv1t1XbG+iok0e6HmGPtdn52uN/rY6djJJTntyaneasbf853E V33PQ/M/ZTz55Zq54N5x729IZA85F222GdMO198k4mmH/TkV14yNcZGTX+Z5 IlXe32W6p933s0bYg/z2EZgb0BPAfOJMwP7HTP3POdBdrzuZ9y7XE+tqC+r3 YqLeY10xV6wP5obcNCWKlzysS8TzKuR1P+xxvLmwLMwC6KwszNtUeWF/0n/m kzNllmOsv0ImQ/160e+SO9b3sL8RMw5ZVBBuPFP/sI9K0E0Fza3riGMX5A72 v+DdOtY4JElkc470ez5xzRlFDo655lhbzMfeTBwwLtYD358m9/aFfr8OzUjO Q85J8k/ue50r8su6XGyf6fu0z/NsyT79nWn0rc+1WvL+39qlzRhoD7iuvrmG eLbVfnI+sc5YV4OhGnrkeTvbE+aRcYzaHvU/os48kZPTDZqLZ4u6Z9yYqu8d cB6Zwx7zM2FcxTOgap6ZQ+a0wzOGNTDieEbdg5fcX8wZc3e6oLvJJWvhUKZ3 mlOdG7DfJXOSePZ3eP7zHN8c9r+jztzWzBe54uwnX7P92KB/WXuDcjfjXqvY ZjxLCuop9takYyUXfwA+LCEZ "]], PolygonBox[CompressedData[" 1:eJwlkk1IVHEUxe/Y4Iz55jnvPcg3IZTlKnFmaKmLXAVuElwItQzaWOiiJhkc F21cKCWCQrhwaMB9EITQSndCK2vl1wyOENKmCFz3O9zFhXv+536c/713+PnC zHyPmVWxLHYcmU32mo0C1gbMzmKzWs7s2Q2zemh2UTB7mPeYE2Lb8NcUaGEd uE+B2W/q/CN/vWh2GjunGuf4HWwXXAdf4H8kfo/4EjX7E7M+LMXfgP8F36Xm Mn4D64JniR+CT8FvwE/psUi9EfQcoKdMfCvjOZfwY+Am+CU596l9Dt7Ku+Zb /OctMSViD8mvwFULrl1v4toFz53D7pG/x9s0XIh9g4t4K+f9D/rLKG+b9Kvw FsPVYtcqTa/xf8Cv0PsP9h28hobP+F3yV/FT+HrG/6S/LbODu+jZQd8D4pfA d7L+1sC/4m2b+lX6nZL7InZtqjEIngB/7fWe47HPVLMdI/4nfBp6b+2shB+F rk070C4+FP0WjuDf4/8l/0vO/3xMfpJ4b81Ys76Z+C6lSdpOCj4L5Si3mHhv zUiz0k61W92Ubutx7Lu4DQ4Sn7lmr51pd4/Q8M58BpP4+5Hv/gn3+Sr0G9Wt 6kZ0K83AtevmBkOPUaxmMhX4TDVb7VS7/Q9WuGSU "]]}]}, {RGBColor[0.2530157233879029, 0.38834206854883496`, 0.6383480584108931], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFmH2wlVUVxt97Dt733PN5z3saoGmakaQvsBLrjyZFskCzmnEQRyORwADl XlTgAtHnVAzWZCHKAIpJMJATKMJMoTWVyQVULt+CEiBocAlrHBGJvFwEen49 i/GPd9Y6e6+99t7r41lrnwF33HvTPbkkSVY0JUledG4hSS7V90KaJPXmJKmJ bumTJJOzJPmr5neKtut7Vvxu0W59/STz6UqS9E3Nb9Lc3Rr/m+ge0Xv1PSf+ ZdEz0tnT7PUnpXeY+JU6wH+avZ610yS3QXSf6AMan6/vx/q9rpgks1qSZKDO t1H7zdK69mqS/Fn8JPF/lPwEfW26S0ljm1Lvxzlu19hQyUwXv0xrjun37ZK5 LPb4tugsfSs1fgVrQ/+GzHrRP0h07yVJsqiPdS2RzGDR6+pJ8tHM5xwoOq/Z Ojlzt+YfFH+z6Gcq1s8+p5t95/WJ7w2/GT+knnta/GclN1PrrhTdpt//1fh2 0U7JvBs2XC/6B32Pip8t3RMlP0/8mzmvXZJYlrX4j/XYf4doo5wknxf9Ry1J Piz+evHviO/Ufbp0x9Gtiocm2wE9g8IOP6zZLozjh/Ym35n7ztG6GeJvEV+S n34mmVXiuyQ/V/xuyb+o859rto/P1O0LfNIWejj/Q02W/11i2feaHUPE5ocK /v289JyN8Sck26PvkPh+0vWu+N+UHVvwy8L/+O7GJsue0Xdc8lkjSUYp+AeH P8uSmaDxvGiuj+/CnfLBM18KmZna6y+iPxctSc8prX9Y+y7KmV+gvT5Y9V79 q7bZm2HP5zLzZY2PFL067zh9QHbv1e/lZfvwhrx9OyrneEJmStU+31C37t64 yw9q9sf3a7Y998L+C8XflLddt2bmp1Wtl/jhPMNl16H63o77zYn7/invs3HG 18kL2f21zHG9vo9je7x+lzTet9XnY4x4wN6MY/OVohe0pjOx33ojN4lF+J2J 589HbNwRuVzUnnfmfXdscDzz3Vpk7/t03nH6tkr3d6vOoUOa74h4Jq47wAjx I8VfpjWjpetT0rk4Z/4Zckcyk6VngOZnS9d3UscM/hub2oYXarbJG9LTrfVP av2Mqn1PDDyi8WMaX6PxWRrr3+r79xMdoTMt0/hw0RvK9h0+PFlKkn+XPDdG 2PZWyXYaGHiyVvRrNcfe10V/1WrcnCdaKfgMxPw5rTtRMn43Sf8/S7Yz2I2P yakrA086dcZai/dm35rWnND8YX1jdP/TGr9W9PeSeadku7SJv0L8AmHwRH2D xO+S/I80Pl6/hxSsm72IpU9o/KctjqdeyY7Qd6v4hYF14PwkrTul8fEF3xu/ c/cZ+jr0LZWu/dIxuGQ/t+Wdt+Q6Njse529oLivYHptTYwOx9Dg51OS9qAUb U2PfqpyxEEzl7tWCc+do5jVHK7bxylj/i6r3vr9q7N2QGk/BcuzGWnT3Bq6u znmPrYkxanPMgXsvxPk+Ivsul8xr2utwi22NnYlLYrKh+d+mPgNxuDZnvfh6 UWo7Ptbks/REXbi84tz9pWJjn/R9vOQ4fvoSYxbYdlXZ+Xys6jtgA2zxiuQ/ Jvk5Bdd88J/YGafxjUXn1/mCfY/fv5k5h+8RHR11fYro9XXv9xXRb2SuPW2i wxqudYu1/91FxyuxOkX8e7EvuUYugvknM2PowYopc+TgrVE778qMs2BsvWFc Yx3rwXnwhlr/pczYd63oUd3hSOoahl3oI7AtcddRtG/KBdetntRrWLu/4vgl 9onhdtGz+v2Tgu/DvW4UPV2wjbAPmA62d0pHb+o6fZ/2ais6H9BDvQGfWxs+ F7UP7B4ZGA9+Xq2c75HMUNGOzL3CTNFUfjlbdAyMFn+w6LgYkxlDp4t+IfO+ V5H3Le6fuHOn6Cf1+xrxc1r8+5q489zI334V938Ttfa2zDV4Kr2cZC+UXIOx DXanV6GWUFO+LJkTRWMZuTy1iDFct98u+hycAZ8Tc/gdW2DbLsnfmdmexMtd Vde+z2lsWtG4Bqbhq3zZ/pocPQy9TE/UQHKkb9X5dbjinqgtMBA7EwfwA0rG IPDn8aLtiA2pXe0X7Z93POEPbDkhtR+3Zeb3VFyXbg4ZYos92sMuD0VME6eL I44fLDh2dieu2+AI5wYXwAr6GWrOgohpZOeH/JbUmLRR/P018wfq3mNp7JlK trlg2R2p855eBVtODIzG7uviHMQ7cc+9zkQOEAvUFjCV2lkNfD0UeFcNvhH4 eTjGasGfCGxFljNsjx6gO+yPnYj3I+ELfL8g4hkbPB92IKbmRpzNjzOTu+QU Z6V3Qf/OuGeO+lew/UaFT8CBWtV6Xqp4DTagBh+Ndw5nYA4ZelX2mRN7ge3U D3qVl+Mt85jibarGpqWOyXXhI+zZETVsc/TaYPSz0duQE+ejH2cc3AbPVkRd 3J9Z798z62Ecnx7U7+niD2R+g4HZS8rG1870fX2d6ftvM+ijZfdrM6Kech7u Q53aE2+0X5ddnzbGHTlHR5yfO9EPEXvUHPJjffRr+OlizzY17HAk8Arc+kDV vRA9UXPUfmrxrqgL1AfykzylHvJmIibIVXr270UPRm3ZFHWuUXVc0n9xrvnh o71Rj6hL+IAcI6/3xVtyadn3WhjnR/fs0H+q5j7/qzXXW+ou+UW+90aMvRQ1 jlpHbhBjYOWK6FXQ/Urg5G3Rn5Yip4YExnVFzPYGhqyOXoY84h3Mndn/qaj1 9JRv8ObCX5n7CfqKbZHjXdEDPBHyzK+J9ayFrolehPm1MU5+n4kznIu+BOwB S7aEj+A5C3bYHjgyIfZfE/3T5dLzrdQYBR0b/IzMsXNL2Xs+Gfty3i1hW2J+ UsQ2+UevQQ6Sl/DkJrVxUbwfnxLGtUpuTd04wpnIa3KJOoCPR9SNAbzL0U19 Qj84CvY+ExiIHnCQdwWxxn8GB+vu/Y5U/B8GPHbYWfE9aw2fqyvOtjrsvCqw n3cQmH823qXkB9hAP0Ze8JZmbX/p+2Kr5YeJ/ivz2YoN22ltxMO6ivuANOrY 0qgj9GG8d7BhU+D0qsDeRmB0Fjw4TC+5PO5+cQ48fzXeP+xPfBMPSwIPuwMT seuLYVvme0KGerUiZ4zPRQzMjdghzzfF2XKRI/zPwhv/rYplc4HPxEMadWps 5BR3YZ9S8IczY9ermXUjT8wvjL3gsceQsAm5uzVirDve1diStyI5WddYueHz X5c57ullwDF8///+P3M92RE1izgmnnlf4oeOiNshkYPsha0ujf8ltmj9OP3e JX17K96XNyt3Hxe2OhB9LX0uMcI7iTihDxseb3B6D/5vov84khmvXhf9H/Pm 9J8= "]], PolygonBox[CompressedData[" 1:eJwtlVlsllUQhqd/sf/6/cv3KS3xxqZuCFGMXhhWN6ioiQoxQCKxRTZb6AJt NSrGJcUIKhq1RBEsEQkJIlclMSBL1YDWSNVGLQWhWJALItiGzcbUZ/J6Mck7 Z5YzM2dmTvmC+ll1MTNbBY2C8lmz1UVmC+Nm34dmx6EW8CbOrkE2nDZbljJ7 NWH2MnQ/8nYcrECnD/xjYNYKP6vYrAv+RvR/TZo9E5fND5wtBl8oMZsD3oOv m5FPcV/QMewbkTdAvciPQk1xxXAC2SH4J8Hj0T0M31swm4avvwn+zbxZf87s LvK4zP0nwaWctSHrucqsDt0D0Abk33HWCX4enVpy64C/G90zGeIEp6G5yP7i jlNF8vk0svegbaYcc9TjFWJvJIdOUw5lgXzniHExsY5AA47R341sEN0Xsbkd 3SroBPJnkT8H9SM/R70a0LkOWSs0La/Y3iHHyRmR4wH8rQEHXp8SxTxCvA9C MXAx9BC4GJ3lKfk6yB2DnFWadIbAv4Wq9Qg+ngDP4yyDbBf1qqQ+r2P/Evpv I78BucHX4+/ahGK8yNlh7B+hRheR/RyodzrQn4jsA872YPYZ8UbUa4j8alPq neqEauS1KqBfiu0y+CvgvdjUgm/lrBT5aGglfHMo/A3yJvCGjHQvYdMN/xS0 DlxDPAvAHyHfZ/L5E/yx8H9bfPwO3oh8P/ww8h74GeQ8LqacPLfyiHdPqMen w9eEuutL7wfwqpze1nvoBXAnZ2fhW6Cvib1Azq/FNFM+W0tD9X4H9kvAi0Ll 7j3ivVKblW0r+hXY38nZTHq5mbM7wGOTmhmflalQA2f/liiHevCKUG95AL4R PCaS3nnedDz+3sprVjbjfy3x3hdqVt/H/70eC/pD4DboCPr3wF/gzRZy56Pg U8T3BfqPIR8AP1BQr3jNphek47pnsakEb8ooFo/xF/xPyWk2vQdXImvBx46Y eqQ5qx7yXkpTj2r060K9jb/hcn/7vGQ+02XgXKRd4DPpsxnPKjbvWe/d0+Sw Hb4L/nH4pqx6cbffD94Zqre9ZyrA/b7DTDN5EvwnecxOar95D0wK1du+Q2bi 7zj+N3M+j5wqIu1I35V+Nhp8E/bnqcf1Ce3A0/Dn4LfEtTNugS9Paxa64Y8U 9DZbse8raAf5LvKZ9NkcxnYr1Ib9RvT+CKTrMzJAbH2B3m428YTEU41uDTQn oZ0zLq0d5LtnNTQB/S34+QebddTz4Zx2h+8U3y1fodublG4Xd+wgpnyJenIp +Q3iL5dUbXxOOgP1qs/Afux7A/WW7/wz8FO5Y1FMPj73XDO6+wo0Bn/zocnF 6rFJyNqhy8hq4Ncg+zCj2fOeuRp+Bj4/iSmH27grHyl3n7meQDvfd7/7dN8T iDeeVO3eTWmH+i5d4jbIo0hvuZ6zo9i3ozMf/U/9/Yu0o31XX/Kao/9xRtj/ IP+LUpFsfYbS4JakfLit90BZVrl6Tp6bz7jPehU+vyWX7kDY/zj/69Zmlbv3 sPfyG3nNsv+R/ld6bFVJvY3HmA60+7zGXuv/AJz1GMQ= "]], PolygonBox[{{3151, 181, 1942, 2779, 4951}, {4826, 1906, 2387, 2696, 4925}, {4935, 3052, 2526, 2153, 3704}, {4925, 2696, 2435, 2110, 4889}}]}]}, {RGBColor[0.32072417816498755`, 0.4164206376937656, 0.6305327514940648], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFmGmQldURhj9mu8vc9RswxiKuJZGJP0yZH0m5xAVFUFGMLCmxoqKyDwqK YmJcIDGjsRAFhWETkwwqqEGIoEYGiAqW26jgAqIoqKApNAaGkAXyPr5N+ePc 07e/Pn369H7OUVeMv6ilJkmSQ/VTq3lnJkku0pjULUku13yFxiLhG/KCNS7M JsnwjL9NFU1V8wiNNq2fpzFW8GzhN6SG5xWSZI7wIwU/IHxnaniO8C+n5v9G MUm+rDFfeC5uSJJWwXdr37dF0yJ4vugX5CRfY5LMEG134cZlvOeropmu+V3x GS4Zd4jmYfHYq+93aiyrkzxZw/DtmzMdNHO1brRws7TvuU1JcofojtU8WPMF Gk/pW7PWP4TMopndYNwNghfUGL9Mch4uflO0b4e+1wq+SvATWv9mav5zJf9M 8WkXPFz0r2QMDxCfVPOojPV0V8g8SvhTxevPwR8c33bX60/WeM7MvDRg5FoR sh0pGVolwyTNHTrvC4Inat0qwesDbhL8lcbHWtuVsb7QFbTQTQyd7Q29tQv3 mfhdKZp6fdsT9MvrvB64q974W0Jm6MCfp7Wva22NcFcJ3o6dBO/TXlvz1vcA 4TsFV4Q/X/9HCf4Zc2o/G615tmjeEP4+yTxD8Ft52wn5usJnRojnv4Vfqf8N otkneLp08kfBLXn7eB/Bn4iuTTrer3l7o/Hza+xvbaLfUrSNf1+R3LLfZVp7 hPbqoe/jg/a6nP0JX7pQfjNUQXS65r4Bg7tEvHflHUfH6Az9tPaJ1LbDlgs1 HwgYOx78P00yvNjg/8BLGmxf4uNlyTZM8Iup9Y2e8Y1HND+Q8Xl7S+8PxlnG S4ZrJOfX4v9MxufCr26UXCny6/8EnfFs4XpqToS7TSOvtfvLSXK7eJ2ms3xX Y65wp2g+R/hE+H6a78jbftjuMM2T9f9jfV4leTZlbS/iYaPG41nveVPe+24I PD6Pz2wI+B7R/CHnXMSaDWHn+Zrf0JinUdG5euncWeGHCf6v6B8Vfqjkmyf+ p2q+Uvi5efM8S/paL/0dJfxLwi3IO+d8k/eyzn34Hn5HjiOm8C90/qhoe4r/ Ctm1Q7jVWetzq+a1GrN13uu1Vw/Rvar/Be01UevOaDLNhxprNGbJds1ad5Lw /5FvjZL894u2S2vvE/8BWfvmWTn7Z7v+b9ZoTzxvCrgz9IDN1gT/qeK7SPP7 Wa8DtzVkG6yzbMk6hyHvB4HfU3Ae+kXq7+CJzSd1jnU56/b8WvOCfm3wXBN5 aGHkKOIBf3sycZxs05givt8Tn9uJMfyb/JO3DJxvXd5nHJHad0ZqPiC6i/Vt c+L8RR57Tnxa884j5BB01hln3xn6Id7/RI0SzTkZ57VXss5FzNjkQuGy+j5F dG+K54cZfwOPP8Fzv/A9m2wjbLU59An/SzI+F3n+6azlQzZodoZtdgQM/cH/ +P+O1LH5XtE63hL6hN/24EmMzsnbr65NnWsmaB6fuuZdk5qWNej4q5L0ItqN 4rlcOskpHk/v5nxxr/DLxf9YrdkmuLXg83LWYfq+p954YOr3Ho37BZfEc4rg 18Tz7gbrER0Sq58mtgvz5xql0P+OOHuX9vqL+J5dlX/LZ04O/uSJEzUPEji5 YvmaxX9X8IIPNXBk1MFV7CWaQzWGpM5nr6XWC/X/Hv1/pMF5Fx8bWGuZwa8V bof2m6X/M6nZmpeIf6pNpgl+W/v+TTRf1PncrUEHzaEV1+lDNN9UcT4+LXWN xdepySO11+4a81/V4L3RNX0P/JfSt1Sdf1vLlmlG2IKzcub3E9eQlqgj9BbM xA6+i97J5+tTx3SnZN6asf0uCl/FT9EpOiZ+r03s4/gzNuudOraOS91r4M/0 HuS2AZHfHq+6fp9acY1FH/Rp3WvsR9iLc+4OHZH7sCs+hFz0beTPjsiFnLVc Mn6G/O2Hqe10Quq47ZZxvHSP3o3a9JbOOaPO53gvdW2i9q4M/+FcB8qWqZj6 zMDINl17zNLct2Ddvh/++Xnomho0qNY+MDNiAhmxBbJA3zNxnB20A3X4QOS1 lYJXZF0HmzLuF7Hzmsi1nH1wrXV0f/Ry+C/95LjUa1o0P5tx3aWe00+yD7Y+ LnrOXpo/ytjG2LdHxTr5vvCFjL+B/yBqDfn5x8oVPZQb+9R7HTT0X+cLd0je PkB/x39g1uM/xOO8OAe+2lSyfWcX7CevhK90LzkntEXe2Jr5Npd+GDC59uhG ++yDoUNseobwRzTaj8F3RF3oGT1GP52rTjIOjz65Pu86TY3+n9ZeKnhx5N3N UcvGpNbv2NR1idpPbbqx5F6Lnqst57sK95QF0evMjV56dfTy6xpsD2xB/746 6he0zwb98/K/oYLXpqZ7Jmj6N7n/aNb8ZZ39AVsXM46jZXFXWBC+dHOt60xz Yl/C9/G37rXOb726ua5SX/En9E/+IZ6Hlh2DO6SzyyVDS53XPJe6T3k2ZJsW /ryv1jkBntzJvrFdjfNQW9gaX7ky+Aypdb7CD8Zk4p5S4z6B+sw94nnNu+rs 09vCh/CfMcJPrvN+9HjkXnoS7mRjI7Z3Rn4lLtBBPvRwZr3zO7m9Pu4Y5LrN qW3TR/PfY09yUVv4K/KviJ6MfuzTOscz56du0xMgz+tVy/Nq0X1ja9C/0OAz c0by1aqoy8NS2+rd1DFUiDi6uPbbGjIu5/snebw5fOD4JvfeyE4sEENjak1P ThgZ6zurrhHXlHynwgbYf3TMvaI+4MPYcVzJtah/wedjLTmLOnVx8J9Ycl67 TvPYWu+HnjkbZ8Smv6xYR7+qWK5Bsba39LJN+Bsr9iF8qaSz3FmxT99VcX4n z2Prf5Zt66/L1u/kqOUdEfO9w5/wT87ycdnwR2XXFeKiUXv+pmK7/lbzZQ2O DfxhZMn3tsekp0tLzvctgl9KHRfHaO2Q6EHplw4p+k7wV32/tWI/u61ifx8b elinb5eSy0S7veRa8knJOawr7HV80bHOnYY94D+Gfqpin/9dxT4ITIxfHr1N V8F+Tf+Af15fsv4naZ5aMX6K5kkV++ybVddCamJZe52WMZ/hUVvpVZD5lorh X2s+ucE2ImdOKNnuX5fMC54zC85b5DXy0k9Tw+9W3bfh/8TBGcKvEf7M1DpF t9+p2LbUXeoruqEXxNZ9q845Py+7p8TnWrTvRuF/Ij4bqs4zxD++QC9FDnmr ar+DZlr0buQZYpxYJ3+Bo35Tu8+LOyX3I+o4MUStwC70qeSaTMlnfCjy9t64 47dGD0H97hk1H5i6z57UBPbtF7FMzsLm5GjyM+9YextdI86qum8+p+r3hn81 uj96p2gbvCP8yLzvZvRM3BEHxj0R/81knNvYvyZk4I1hf7wnLMz5jYP3DWxI b4rN2RM/wAfoYemRZsUdDV/Hzx9r8J2f2NgSNZ+8zB0E36bvJR8uiVw9LO4n 7XGnuCRoTogerCN1L0hPuCL1usXBn1rH3vBhr8Ehw2rRDaIOFk0/KGhWpeZ9 dNHxRz9NTDyctb+tjnsrMnCvOalg3yO+D/oc/jY/7vHcD4bIJ/Ka+1Ttf6dH DfxH3HG46xzeZLsd0eR8ti56O2KlOeKlK2ox59oT8b4s+ssZUVuJP+os+uc/ MPJlwq74z8SCff2UsvuhfNCfW3b+6192vnwh3hHJbdRLcgZ5l7vBvXF/4B7B O+VTqXMXOYxaR/0m53NPII/eUHEdWB945nUBow/ud8QLsuRCHubbAz8h77cq 7ob0Mqwlxw2MPpM3zoXR+yyLPoR6RGx+Gnc8euapjX5roz4uiv6rI3yvPd4f eHuYH3dw7ut35u3/9GyL4v6LL+ATixL3uMiALOQeYOzBm8rivO8WvO+OyLse Xi389HgnvDnntzzugeQ2ajc18QdN9h3eol4vuofizlRscjxxPxiY87sAPSpv WOjqs4Lftx7Lf9vbj4n+5zrJcGvONZBc/03OT/3+90WjdcubDrmrMfV67gjU shNTx+2PUr/F8RZFLHDvfyRg3rp4y6I34f1yZs5vTLwZ0xPTD/O2sDLuHZy1 I867KfqW9ugnn46eklxM/9Mr7trEFD7K/ktiX+bFAR+pvfblbKdT4k1vU+pz wJe8erVoMpJnadhzadh0iOh3C76gYB/ojBjGVrztYi/OyDno59nz4diX2KL/ I742in5Ozvl0Zmo/4g0Sf14e9XF2vJXxHkOeRPfknTNzfksiHx6f89s0uR8d jA49rA694cOXpfY17lWjCq5Ju4q+A5PXucc1xnvdYdrritS1Y3j0R8iIP/0f EmuWwg== "]], PolygonBox[CompressedData[" 1:eJwtl2dwlVUQhg8hyXf7vfkuoOMMYi/ID+tYUCyAggUllICg0kYSQkJTmqJI UInK2ECEYBsdsYCIg3UEFFQQQUCKqH8sUWMZVATH2PB5582Pnbt79ux+e7bf o0dNqKwvCSHsAkqBI4ohTCkPYQ7Ef/kQ+mdC2Ng+hEHAlFwIefi/IDAX2JYN YX0cwpAohGntQsjA/wB6OPSz6HoY2WPSIVySDGE+Ovtw/mMqhHXQUxIhdEDn PuirwB/ibBky9ehoRPdy8DrwPfBvgvcc8o9ydg/0dOA57nwBPZw73dHzOnAm tt1XCOEJeEuxpxv2fQv/DXiTuNsde2YCg4LfmMHWvnk/XGfinQ99ArL1nH0N fgHQ2t5n4u1D51r09ywL4TrwAci8h66fuX8n396EbYuA13jrYs4/5hsPIrsI ugW8GZla9B1ARxHbzuRsBffm8/1q6Er0bYD+AX2z0fct98dz/yD3O8DvVRFC Cl5X6MXwLsvYL88jcxq6jsYHm8CHIDOd+zuwJQbewccPI7MXmQf5XYU9v3K/ BfmLsa8DZ4d4XwN3A/5OcfYJMA0bTuZ7qzieCr4N/qGEfV+Cjv18Y2B7x+w3 8M+yfus72HAx+kcDGei+wLHgrwNL4E1F92vg85CpRn4wcDN4DvsrI78pCz4Q +97n/i/YcA/fn8n3j8C+r4NzoBNnC+G9SjxGom8p/Cr496Kjhm/05OzdcufW JPTPh98/6Vw8gMxk+B3Bm7g7HPwJ+EXgXd44l7NxnFXAXwQ+BLwaKESOaRX4 deT3X8pP7r8I/IVsF6AF/A3u/QS/M3QzdBcg4uwEvnt20v4dj45Y7wUfGpun O4dDt+POXuLdA/u76v158xNtstKxC/658Kvw3zTeNxEdHZBfAn8Y+BggC/0H ciliUw9dVG7Cv1a+AQZHruH34Ddja8+kc7eFs43QDyQdL8XtGuKxvtwxn8z3 rsw7d86AfwX4qTnX9Ti+dx7xW4F8Dngz4ZzSmXg1wN/E7vPYtboRnV+Ab8Jf 5/C9XmXuEXW8b2eZa1y1fmmFY32R3oi9B5HZAt4PHQexbV3sWmiAXgu+k/v3 l9hHu8FXxs7FSs6OA5+ac+6pxlRrN+Xc61SjqtUiOkeWu+ZrwLtgX1H5V+Ke 1pmz2nL3iCngHeF3gz+m1G9o4u110Au4v7/EMVQsvwFORv/38F8BEpFlNmPT SPDRwCfwZyP7Qsr97ZoS1/KEtHWppm/Dhy2ljolisx3+rKTzU3m6E321kWNe FzvHlGvjpB98b+zcV8/8DPxTfHQ+ul6hXh7JuIZVy6qhS8B3ADWRc7Y2dmzv xJ6pbTHezVld5BycEFuHdK1TvcXOOeXeeOhd+h4wIXINTlL/Qs889K3hTiO/ SzO2tbbtLRHx+QZbD+Lbl/FPD/LpMWSyvPkt6Pe5MyzyDPoo6x6tXj0L/z2J bC1wFXgV/A3wOiF7M9/ZmnBMhxY9o5TDyuXH+X59ZBtlawL+ocg9dGbBOahc XM03elc4jqpR1a5qeBsyYyP3kBrw7VnPTtnwIfQi9P/Lt5fwzQvR3QRdHdnH 8nVvznbBuwtYHbumVduyaU/sN+ltI5SDFe5x6nWj9H74t2Ljd+TH/cjMAN8i n0T2kXy1OONZpB6sXnxHwbPnEe7PKjgHlYua+Xn4EXaMTbu3rUq4V06EXp9w zzwm69rTNzbGjpFipRncnPPM0exRT7tQ+RG7F1yKzQvBW/HbjWnrXgbsyPot qgnVxl0Fz1r14zkF99q5ac829dx7C54VyvG7wftUODaacZdVuIdLVj7eDj69 4FpUzn/Kt7pm7SvFWLF+LONcVU4rt7WryBb5WDtLR+0nademcqgFfHLKvV47 y5KMZ7dyQLkwER/0xxdr4fWDtzDj2aoeFee8w6jWX0THgKJ3KO1SDfBz8Oeg /0jtUOWeKaop1ZZm9B7e91Xeu4t6lnpXK3f/xs7nE+4Jiqliq55xO3j3oncJ 9VD10u8z3v2SwGB03RC7ty6AHhF71g1L+/2aeW/Hng2a2WvAL897Fszg/u/g r3JWmXQOK5c1mzWDNXs1o/sWHfvH0XU5+PXo/jfpWbocmIeN+0q9Y2nXOrFo W+6Gd1LROaB4/sTZXPDN6C4BXtI8Lndu3pj0LFOOno1MK7+zuXMW+NasfauY bMd/xxetWzNHs6ehYN3aybSbKaeUW7KpseBd7yn0D05452vge0cBfZKOkXqM eo1mrGatdmTtyoO0I0EfVvBuqh3mcPD9efuutm22pJFfXeoZrlm+MOk36m1X a6eD/jDlXaVfwrEezvdfSDjmX8JbkPRd2fgnvOqU7w4Anob3DPBD5DherX6Q cE9Sb1LPUe9pbfNdr9izWjtmb/DTgeXl3mHPiD1TNVvVo4+P3csbU94V1dO1 g2gX0U44Sv0f3m7tZOivTDh27YGVCcdwNPJlKe9yOvsn6RxRbuiN67P2pWyQ LdqBtAtpZ9TuqFiojygWiolyWrmtHboKvCnp/xjaN2VDc9o2yRb5pFvRuan/ CKcUXbOqXfXUW4jXigrv7orRS+D/AwaK0bU= "]], PolygonBox[{{4927, 2714, 2695, 1808, 4711}, {3514, 2317, 2458, 2128, 4894}, {4929, 856, 660, 2663, 4956}, {4895, 2128, 3063, 2386, 4789}, {4917, 2688, 2372, 1690, 4649}}]}]}, {RGBColor[0.3935121602172226, 0.4420010786705894, 0.5877436502237414], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNWGl0VdUVvi/jHXLfu+8FQelaIkMERNEAQYxQUOtCQYgCVcEWlQQBZZ6R QZlDCIgQQCtdrBZcbbWECiRCQrCtAQ1Tu7AM7SpIAAUREATrjwLt9/nttdof 5+399t3nnH32fE7LYeMGjE1zHCeGn3TAbb7jNHiO42c7zpzAcZrj/xHXcToC Pw56KfDWWY5zHvwTMY7i/+JAPOfwvwRjZMxxakFrA/5YhuPk5zrO3/H9PkAX 9PdB/xKbtcB4JdNxboD/cdAvgf4W+Oqw5wjg+aANxvge+AbQ+2P+MKy/PXSc 6ynHmQ05mgKG4NkDnmnkydJeH4DvY8BGjDMxwVMYc3GuBzCWYd9BOG8JaMUY z8UkzzDgV7F/FeDzGHPAU489Xsd6e0PNW54pnhsYW7DvSPDtgAwzgLcDngTe z3RYb/tSlmPgHwX6NdB98NwFvAj6eRF4DN82cT/ACKMOeBX27QfeFjh3H9AO gq8IctThjMNB7wFYDr7O+NYWsA++XzQd8kyz7FwXscdSwD/gLAsi2A7/5wG+ hnEW+OxIvBuM3wXtVeBNsV5ZAucF7VjSccaDNgKjHOusBBzuytajAceYzvl9 pNFnulonO0N+McLo1FGJ7cU1HsI+QwBX4UwrMdqB/0nY4jXMWQaeifi2BmMU aBtx1hKc8QT4RsQdpzdo3wA2xxp/8XSOgdDXTPB1AbwN9A9BHwf6ToxaV3P6 Y/5j6ZKrF/fGOJQp2VeanEsi6W4xYLtc+X5bwLewdhHW7JwtnVSYXoZiLDUf pO+Um/9sBX8Z8ALI0pNxhe9bMnU2nnEDeJYDXsEoBy0fdn8PPL1zHOfrNOGT AQ9Dlq3A5wJvBF6bpXmMxQkYax2daVKabHQCPDXgWYb/HVytxW8PmD/Xm38x bosxtoHnkXThX2TIzzZinQrw7MySH0yJSRbuNS+mHEC8B9ZaCnwUdNUdeCnt DbwSc9dna51OWKMzxrvA78/SeSl/PfYswP/SmM5E25N+CaNLlvYh7GT4VcB8 k60hKf2thK4OAO8I+n7AMxnad25MvJUmQ4Or2KpxpcdOJk9DKFvsS2p/rsP/ 3VKafzCpeLtq++YbTl+l7UtM5/Rh6ou6GhZJz9Q35eB+3Is27Juu/61zlIeu J7T+KvP/wcDnA28WE5xneB3WGkh7AO52lV/4bR/kn4f1dqdkqwrLD/zG+XmZ 8nP6+KoM2fydLMlNn+Ga9A367lRXeYmxuMrOwlxbCrwf8BVJ5aFK7Nk/R2ca H1cc0+8Zy4NylG+mgX7ZZDoG/hdSyovPAz4Jnk3gmQM9DQBeCXw+8IHANwMv Bf4o1spzlXcHu4od5qUVaZKPsrUzWekH1Ft7O+8Yi0nmJcrP2GPcPYfzTgD9 36BvDnUWnmkM1hnrqh4VQ+6HwXcB8Hi24oKxTB3TB+nzz7rKZf/MVn4abTnq zaTmcg3mP+ZT5sCPkqqdfwTsaTqhbnJSqpOv4tyFcdWhBzk3Uhy6yDkzzE/o L4x15jDGImP1nNXclpZryUc9cV/q6hn4Vi98fxrwbCh93Is134AcjcCz4oo3 +v0y81P6J8+5KkdxuAcyTozLXrQb47UoXTHLvMQ59HHam3b/W/J/vsW4KLU4 J/+luM7QBDK8gDMewvy94J/iyi60zxrs8SD2OJqUfJRzZVI+yjzGs29HDr4Y KLcPQY49EUjvwy1f0f/fxnm3wuY/SSo2aL/9oeJ+rtmySaSYyMqVX1EH9KVu ljuZk8vTVEPpl7QT7fV4QudaEpNeTmVIj5wfj0tv1F8qrly3GninXMVWLfCb kPOG5UfqsixN+mFummRn7AD+9fh/d67qIP2Lfjs5Ug2YAjg10t7TAJvH9X0T /SUhH/gp4H2gN4G+BueqRrI/qMZavwftcqC+h/m7LKY4LI5k1xLAMFf1Iw54 JCm7XDNdXjIdjotUb8YDfuppXa55Ryj70s43IUdP0Jpjnb8mVQsO4PvQlPRP O7C2PJGu+JoGm25lLbb+gPWJ/s5Y3Ga1lbDKcPrsRJNnYUJ2ycP6ixM6V9tQ +anKctSn1IHNrbWaQJ0ztmoNb7CegX1nrfUQxAdlS07KW2M1hX5ebutyTdIa /m9ug+3BnmuJ6Zm9WJn5Ff16stmddh5tuettV3kpL6Z8zpzPWlBvfSXxMK56 xTr2YqRYbBkqZ8+2fuNajvL3z1PyrxqTudpkZg/Jusm5zOmnrL7MtT13G858 WG157ynY6DDsc6erWDmZoXh52nLOWexZm1SPEsTVOzO/sX+mz+8xv9+drvzA OJoRSY5ZkXpT6mtupJ6V+loEuDql/msN4NpQZ+Sd4Epca30LWJdQrDHmGi02 KVtRqDrxPfirU+oFPwRcHOpusA74JynZt1WoXDXFcv6ulGz/UUq+dt76n3U4 /ztWX09h7/6MQczNT8g+n0APA3Hmo4FyGWNlmeWUIebXzOF9wbcDsv0Y64+J S0djAW8klNsHJhRPrHnMUS0SukvdkVA/0sN6kgrrw9mbFGLNKvCcjquX/eE+ wPhOKsd9Brg5Wz0S+5qbhrN3WQF5W/uqLZW8D1iOnQUYgl6MtSZ44iMPfeFN 84fzoH+A8ZKru0tHX7XWB+0eXzq6BrjZl69wn9W2DnMxc0JuJN6Ngfh/ibm/ Aj7IlS7v9aVPrv0bux91Yd4IdLc4nKO4KYR+9mPu+4Fq8smE6v3ngHtyZCPa qruvuyvze2/gewPdBxh/5OdarDP5vvRQ6Ovuxz6gBuvXB7oTPAL6nwP1CFdA T2L8wtVdZLvdR74BfCJQfL8H/F/WrzAf0M+ZHzqAngik55bAPeBdwdPK012a th9qdw7mikrQMwPdrzIAv/OV62/PlY/VwCfLItVo9mibPPGRJwCs99T/tQ/V W/H+x/rAeGU+r8b3zzz1SHwn4F2X/Rx7FPYqd4W6457zdc+dGSmXsE9cQH/w lcNot00WC69HOit7wHTQaj31AZMi5ZOJlg+4Pnvvd/H9C189HmvnGaNX+NqD 69M+learvB9vCZTfbvHkf/SlJqDPDJTX6kDb6anGMjcz5zAXNQPPdN4tQe8U yB60Be90jZ7udXznqPTlM7sBl+N/X1dzDrqy+62+YoZz49zT3ivyPPkc534N +FtPfW4Z4C5f/W8X8J+yvd4A3OOrBo4G/XP8X8K8DPwrX28dfDv50tf7Cc/d xt4HPMDZpAHfEaou8U3lHtBW+6oRLwfiI8+jubof8h2Cd+7Tvu7dvPse8pV/ 13mKScbjx4H8j77Hd6Pb7O2oe65qKu/rF1y971A2xkRRIP0MAHwqUB4dFuhN hO8hfBf5jyc84PtJoL6goycbFFiuYa5gbfvW01pcZxHwhZ56jgJP71R8r3J8 7cE1vwP9mUA9FnuNVwL1G4sCvX9Rfvr+r33dQXICxSFjcLHxkafY09sE9XMR /38H/BZXuW26p/yWRpt7yiFdPfkxfZh9S6ss1RPGGOsj4+tnoex5IqE7HGsW +X+ENV/HvsdcvXvRn+hL6Z7yKfdiP3i/vQ8cTmgdrsf7AP2MPlYI/lsD9ced A9mEvsT6fsLuPF0D+R99j3F/eyDZ6Kd3B1qHfSTfX9hX8v1jquWjf3jyLfpV +5TumwXwhQOgNwv0PsR83NRychXoTqBcS7/ubPLwDeOk1Uv2JI3W99AHF5gf 8htrGfPaNnvXoP+2CdVTz0+ozziSof8vRcKHR8rF7GX4HsU4K7Dzrrf+nP1Q /0B5nL7KOwJ7YPb5ZXY3YP/GHr8wSz3GD3edNOUQ1vPjGeLj3XSI2ZG83Yyf 76CsL9Qt+4551ldw/5tWiysNp1zsXegPl5PqIXh+nv3lSH0832Mq7P7OnuAK 9HTa096sUXm+6lSd9QzMn+zpeS7evarND9jHjox0Fr7rVFufSH0dDaWL6fje NUv6LLP7EGVgTicfayN1S/k321kiyPIY5FjL2hpJP2Mi9ebs6dkT8Q5L/6L/ tAula/by7FXLTY7hxsve6c5Qe7P33+GpHvOMS+0NlDZaGAnyjYE9wnVfa/QE fs7TOyDzSS/LKdzjWTsvc3Zoscb3hhX2dke7Hrc3Vq73lac1eb9l7/gnyNUb 8y54Oi/zCN80eE9nDDMnkU77dAtko32sXYH6ONaZruaTnNfS5t7EXts83RP6 BnpD59sv39H7GL4rqdxSl5RcD1lfRFkik2eQnZn5k+/HfW3ufwEJNjq6 "]], PolygonBox[CompressedData[" 1:eJwtl2lwleUVx58QSO77vrm5SxRQUUAJglUKlM3QEUZboQUJSrBFqzMmoGwJ EFlEZFchgAsoKsoXqx1GnYig0moSbEVQQbQuAbSK4IJLi4jF6oyi/f3nnw9n 7jnPWZ5znvdst3v1jCvq2oUQvgTaAyuzIWzm9yhEA/hr6RCWITC6MISX8yFs j0N4GChPhfBb4J1cCE8hP6QohFbw7zk7CpwKnAk8E4XwM/K14NOBSdjch+1B yL+JfFLK3dg/B/oF6FpgKDr/AsrLQriS3zXoX1aAb8UhfAx+F2eX4M9B6CPI j0G3EpstmRD24u+voPsDb8BrhR4I/hLyX3PXt8RwHfp3Y2co9hPwmsi2PgDW l4RwHH8Go/MW+is4O4DsCX7HI9cF/pVJCN8RSz34PuxXFFknj/3x+JDCl0Wc dcrbhmx9xNlcYp+HjWPABvTLielSbP0U+23uAxrQv4Pzoejsy9lH+Rqh80Da MSiWncBx8B7wLgH+iO65wOvIDED3K/wphb8OHx/h+yyGTkPPBP4S/Eb/xP5F ZX7LXbIBvidn2T7w94I3A/XQZ0NvBy8jhnuI5a0O+Az9MfaeRX8MMh+BX5P3 t5LMteDnYfO/+D6eOH8PvhL/7kT3DqAL+iuJt5fsAd3g3YT9u7F1JzZ6Q/8I PQ3ZrtxRgf0nOauEfz2xdsPebugl0Jv5PsfyvkN3neDO34E3lTg3BiknoV+E V0GsvVJ+M+WYcq2Es1HgT4AfB7+KeI8o59HvhC87kO0D/5fAFu57F7ofeN8y 48pB5WIt/n7Afc9Bj0K3C/xL4T9NDBvwtR7+IfjPwx8N/2L8Ocl9k5G5Fzgf +j182Ir8BOhvkVkWO2eVu7PQX1NgGzdmHZNik69dM45ZsStHlauqAdWCckK5 8XbOtaqcVe7W8aaVha4R1cpa9FagPxybPYFF3NFIvnzGfYvVD3LOjbHozEC3 kTt+4D2mQDdAn4uNVfi3mrOpyJ+OP8OwMwpI8v7m+vYX8r1WINuSc26NQn8q +t0yjkXvfxzeAPQXEH9HfPoT/Nc561fknFHulGOjQb2B+yZz33nQn8L7BJgP /SMyVfhfDH0SPEN8Mfa24k8NZ+vAV8fuVar1H9C5kLsWclbB3QH5bdAnuaMO mYqM67YW3UPg05FfXeBvXgfeE9m9wIKU72wCb5f4jWZx1h3/liJ/kruKsb8c nSfVf5G9FXw5NlcWuEden/Ub6C16I38773e5vi/23sduT/DewEMp12AF32It 8G/u+gVnaXhLkB2I7H7oAyn3JPWmYdh7FHwk/DNi8+4H5kEH6Eb1EmAwdALM BV8NvIStOHFN6awT+Guc3ZxyzH9Gd1Xk2aDvPAT+IPXyDo7jKHQ19PvcP0P5 jfxsYBv+1+iOrGePZsoq8PWJ31Rv2V0+gVdErifVVQT/7Mg5ozqohO6EvTfA HwS+AG8X+Zt9AnSGX6j8LrCN9bFnjGaLau72rL+FZuBt4LuRH4DMJGytA8bq vSK/t959MG/8Oe99GfrP8J5nwX8FfnXKOaNYNWM0WxSzdE+N3C9lYyZ3HGzv HFIudUC/MfJbTATqoJ+Dngm+Bp8ea3ur6ZFn7C1Z57p6+gLlv3pZ0vYWnI8G fzZy7mrmzMt6FmnGaNbMgT7c3j1FvUWz+nHkr015Zm+BPgXYCb6s2LN/VuRv oR3gc71l4nlwD3RH3mBhkWfAiRLzvkFmY8oyZ7btBtMi19shfvsnrsUGzq8C Py1xblxd4J6u3q6aHwK+K+/Zpp1kj+Yh9TGhyD16V4lrSrWlmVBNPPtznqWa KfuR/3vOu4Zmmmbbxrx7kXrEfPRLy1w7N8JvgndR3r18DfQ07B2jB43g/WdB f1XqmaHZoZpUbQ5UPRY5J5QbE9Fpbe+avw68a5lzpQb+WeD3xX6HaW3fU72i Bbw+5Z6xFXxE7NzTjLgAneaUffh1mXv1sMRvr569STsK8ofBl2J3HTEebueZ uZn4/9dW06plfeNN4F9GnqeS2Z3zLNbO8Cr4C8RfhZ3Z8PqC/xUYAz0Ruhf4 DnQLE/e2OUBz5J1Gu4xieD7tWLVjaNdYDG9E4l6jnvQo+LjYPqomlmY9a9QT l2Q94+Xbxeiv1axIexeVT9u1a/DNmoqcw7OzniGaJU9zNrLEM1azVjU2A35H 9EcWOoZt6P+Mv3MT9zr1vAWKJfHbKeezsWtQtdcC/Y+0v7121ib8GY6NliLP nJuxfyDn3aVZPRbeTYl7quyrJx1ImzcJ+3vzflO97eOc9QMfUWJcPVy9XDEo FuVQTdYzVrNWO8hnsoXOuGLHpNhuI56dseet5q56vHq9avL+tHc21aF6l2aH Zqpmq3Zu7d7atTeCV6Vcw/rG+tbK6d7ar/BnV6F3hlp0j8SuYdVuP+L8FPre 2L1CPf9gxn1X/be1xDErdr2Z3u6bUu+y2jHqS11zqj3F1AJ+AbYnR96/Byae gZqFqvlK4vlPqXNjFbwq9WLu7hNZVjqa4Zrlp3DWV/tK2nmmfLsr55pWbWtn 6QVvIXqdY/cj7QhzwBNgnnY0eIti50E1Ojnw7yL3LPWqR/SNoSckxm9JedeQ Xqpt57g88QzR+6sn/ibnOaR59IeMd0ztmnqzVuhG7c2xa1M+P6w+E3s30zfa ovtjv4HqZD70jsSzQztuObw9iXdLzRDl+pjEs1E5mdZ/j8TfTzF/mPFuo51b u/ff0o61ua33aOfT7qeaU+3dkPXupZ2lB7Knxa5x1fY+YGipd3ft/Nr9x2U8 y/UfqQp8Sta7ona4nmn3rqWJ41cPG87Z1YXuhadj6/9sXO/X "]], PolygonBox[CompressedData[" 1:eJwlkD9LQmEYxY9p5HtVTC9uLSFWlNTg5GQ4iCIuQTkWTlKRIA5NDdG/qUFI 3BzaGyKE9j6Gzn6AEgch/F2e4XCfc57znve8d7vVOblZk5QG62AWl45D0q2T 3j1mX+qiLaLSEF7YkN4w15JSKCJ9oGXxVuEx9Dq+V/gPepmzw4Tk4I/wCrst tDwYMTdj0i+7ffgZuMOTAi0KfScsM8ieO/Mf+JYZZOec3R/nznPg0auBds9u Tt/MpnRE/pdnuws8bfZ9+DP8lPmP7w55E+ZDvC/csefbm4O3P6GX0P7p0YMP QAZ+jT4OS1ecuQSfaFF2beZB2v7RA7yIb0mPXd+yp846Bd1Wov8q9A== "]]}]}, {RGBColor[0.4663001422694577, 0.46758151964741324`, 0.5449545489534179], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtWGlsVFUUvkyn07558+a9NyNWxZaSSGvBBVeUumEUEUuICyi4AFVcAAG3 xIUCRnFtQUlcI1Vxi4oKaiKLCm6AlKKtGgQ3XIDYCu0Ug0vq8n1858fLvXPu veee9TvnzoD6mRfMSDjnHurjXBHGJ9LOzfScqyh1rhe0P0A8G/QcNn2G71jQ BqWc+zbp3DOg7wqwD+P9WefG5J0bhf3XYT41cm4b9lRj/Sf8fhv0nzGuwNmt oD+NMzdjzxKMozPO1WP+Jegl4PFw7FxPsXOVmFcnxYf7q3B2E+bNmM/E/mcx 1uHsHMj0Q1K/23B2McYpWD8a+4/ENxfrDQnNeV8d5sMgzwTQCyXOJaHrMtw3 3+aLwKsd8zZ+2DMYexdiPY9zF4XOnQ7ahRjfw/cu5jtx54fYU4azcxLisxff 3fh2JyQHZTgcY6vp0j+Q3GXQcTv47MP5YRjPg+03wwd7sPcs37kzMa8D31FZ ydGalb23YQ4W7iycX4a9Q3POjYct+oHmYdyBM78U6XcGPPuAV4B9xTi/HTIt gMwLQVsN/jdBjlHYc4bdWw7GDaAdmJf/91kM0Df00QCsT0+KPhT0z3G2H3g1 4M7Xcb4lKR9UYt888LkPep0E+ZZjrQtjFda/Nj9eG2k+kPYoFf9HQG8Hz3Lw nAfaldjzKGgjodcL+D23VHvfAb8txucO7F+Grwb0N0EfkhKfJug5HHLWQ+9B tCO+AVgL8Z2DeRZjP+g1HPOxuGdmVjGyKZY/x+JrLJEv6Af6eRfs5+HcpIRo xxv9pVj0FzH2BU8Puq+GzK/gtw/6yxhHFGk+OSF/HIez15itafNDYYd1pdKD e5hnzDeuFVKaM+96MNbYfE9O8/XgvwvnduLbiK86pZhjvK2L9fsTjFOzsud7 seKPcVgRKEeYv4zV7pT282wXxoEp2XkBbNFUIvsSI2hT8qJcg03OLVj/Gl89 6DUJ/WbOMKe+wDc5qTxjnjDvxgTKs3ugRyHWvBIxs9X4kAdtTT/SVtXGk/zX 4Oxu3NsnL97tlrM9loPM5XLLJfqI/Mh3ebHyhPmxMhR/xsKD5Fkk3/AuxknW 5vRVaPMNsfTdgPs34I5ZCeXRStArQHd53VEwOSkz85d2IC5QvllOdiiYnMQR 4smQvGxUwP4a+rpIc+baxJR+D7UY+CYpjGy1kf6anZBPiYeFYuEdsa42VD7/ jTgfnZCe1GUf8r4YuXMz5l9llNvfh8LaKsuvXsj5r6ecWluksw2Mq4xk7Ybs a2HjJk851m04z/PEXcYW4yprecN7y0NhVAXGHThXi/Mf4XenJ3/Rb00YJ/ry 8eo+wj7i3jGwUQvuORrjJKyPTAsbxpfIL4zHHshWhzNTQsVCj2FywfxPm48w /ByJ8UJfclCGjqzk/BXjsaFsfhzGuVjvLlWc1CZU12hb1grqwpwv8aVDufEl f+L0NsjY7AlT3saepWlhRz3kOLNYPj3F0x3kz/MfWj4Svxj/nRhnYz1p/toK Hpd4wijqRpmoM2t13up1byT8/gHy78lKvy6M1weq8V2gr0qr9jOnZ4DfY57i eIbt+StS/JInY3hYRvFbk5cOZYaBJ4P+FsYfwX+Nr3rGmpINVbPCUHhC3B6I rz/WL8K+E4jFmA9OK5e2gfakL1zmnbcmpUszaIt87VmGsSqtnPwO80ZfmP44 7YHvXMxbfdU55iZ5N9tZ8rwzKV1ux94XfWHuz75ijvHGenK71RTyW+yLZyGU PN0Y+4fyOfH+tozs/lROMUc/7GVvk1Eehxn5jflG3x0aq6+6LxCeVZtt38A9 Fdi3AHd9n5HeI8CvE787SlXbmyPlwcugT4uEA6fh3n9C6dWL8atQsXVUXvHF vGaMnerJdrTbxLR0pr6XYb4d8+dLdYZn1+P+E9KKV/r53Vj1cy3G6ZHq06xI NX+g1X32BdPsrslY+wLzqzDeEKlPuwVjpad8Yyz+6elu3vuLJ/2pOzGv3viw N2E8MZZqMV/lq/YMTwt3iDnfhbr3y4z6pg+sZrN2VVn9Gp9WrDBORmD+qa9+ ot3qEv00Lq34Y+zt9CQT5Tk3rXhiLBFvNvnCnI9j3fFRLB+TR1uo3oVxXZlS TzLB6uZpGGenVPtYL4nXxOorIs1PhB+PSKl3ZD+5ynCSeDnHeln2KMQV1mv+ Zl3bYrWyzHoWnl0aCOsbIdshgTD90ki19x6rv8SMu60etcbC65ZYmDnfatPB gXw8AWc3ZRWrLRgTiJMO7CnKix/3M+77BapJl2H/QvDqxj2vgXZjSvHJ/HsQ 9N9AfyBWT8Hegv0ie/Naq1m5nPgRy6lPo+1hTWNtYw26OFINviRSj8QaQPxv tF6F++cbPpJXznCRmLgfH23Ovvg3q5ctpuOjgXr/W03mYVntJaYy16kP6fQP awB9vyQnHz+XU27zvtqsMJR3EXfZQzZZjzfJ4og97aexfL8xlh3azD8zLNeY c4zFJqtBv2dUyw7MCYvpw+mx3mOsla9h/fBA+ECcOL9EecZ8fxX7MhiXYqwK VK+vi1QfGRfsW5ivjLkl9uZgX8meiX0m6y/7FcrVYP0G7UW7/ReoD91le8ZF ypu+gWJ1ufGnLutNH+Is+2PahLVkjvUMzNE2T3m6EufXIvfG5fWuoG83x7qr 07CRvGhf2od+IY0Y/QbO7mXdx/6rI+HVXeBxSFa9xRkm8w7TkXnDmGCMtVhP TZt22F3Ua1osH02Ntb7TztKulIG6dBqd+1dYf3hQXvd0mGz0GX2Xj1TnR1uP dJNhJrGzxezJe/iWWmB4wjcTY4c4yzX6qdfe1fQb3zTMj5dSqn3ss9kjs9d+ xeoy6/O9FqusS6zhjD/mwvuG+cT+53OGMTnhFPHq8kj8GP/UhbHWY28TviHY C7IPJAZRr1ftrTfXZGbcddtbg+8YnmUvy3nB+DBG1plv2XMRT4gP1H+PvfX4 P8EK48P/BRiPN0K2NbHqrU8/x8LjDyDDKsz7s5YF6tfpF/qH71j2+nwDDLL3 It84xNpye8tT7gp7+5yXkYzXR6o/7NFZs2hvxjNtzjfuO1aDGFN1FleHBeqF ron0viU/vs/oW/p4ntm13bCFvn7T9O2yN/XGQPVn/zstKRutM2xpD1VHh2Ds m1PdOSCn/n20yVBmPh0bKu+5h7n5WCA6fX4FPg8yXJ5TDhXM/sT+gr1FSesx TN7/vrLawf9xSH89kO+IZ4z1IKsatygjG3SZfSaY7kMshyZZLhMPdhsmECvY s9G+J4J/F35fivF/VRaH8w== "]], PolygonBox[CompressedData[" 1:eJwtlmlsVFUUx2+Hdjoz7Zt5MwMiSxeitCwSNlEpm2jEgFUiFmUvFAUBKQQw 0VgWN0hYlUTxgxpFZV9dgrRgS4CWpaBliRYV6hKICEjBCNG6/P6efjh5595z 7tmX16Fk1ojSgHNuD5AKbIw7lxF0bkgL56ZEnXsp5lxHCEeBNp5zPTg3QrsG 9AL/nLuZGc51iTj3SNK5vtz9Ae0G0A/8Jvcnws4tCjmXi9wR8LThPAz6cPCC Zv5nkH8607mJyFoA7xvYcgq+q+Dn+a7ku4y7Ddg3KWA2bgLPgj8Hep+Q6Qhi 85gU3qU5twp6O+jrsaE3tPlAsc+X9wvgycH2JejPR/e3QCfOP/H+U+yZja4C 7HkVeh60eiDPM1kD0BcLmszfoDchqxdwFv4b0KPQZwcshiOhdwYfBL1IvMCL yJrD+9vgr4S/f9h8i3K31TPbZcOP2LIUHy5xbkBGGuci/MmFf38L87mBu8KA 8SyDtwJ590LPQdZcdI5S7Lhbke7ccuDl5nx+DdyOrsHKBXAF/h7AJeRVIXs+ 9kwG34e+Pry/E12FwFZsboJWgey20FfGzbaHgS3I+ydsOVTulMOO3H2TajFU LLuT86Mhk3EB2mreX0+znCl3sn0Q8Gi6+TCefJUhez70LPhTkP1V2HLpQd+C bdfBW4fMxmxoc+GpCVnN3I++z+DpyX0Rsk5h/4xUqznVqmpceVqvmoeWBV9m 2GRXcl8WsTvhistxzk3N9amYSdccoDpkOscirwC+TyQfebX4txbebvAeA3+l uZ5qgbb4MwvZ/ZDZRbYD6+AJw3sBnyNRi8VN4MOQxaQDb07x9iQwCX9iyDuD rnboGI2+GqAk1Xq0J7SjcdPdHTjM23PcPeDM/4aY8Yh3Em+qebsPW8rQN494 d+BNMb6Vcs4Gvwz8gk0TA2bj+rjViGrlGjl8nfNG5KHmf5s2gdep/p3pOAG+ zTPeRuA1+Bc3998xoB20H6IWO9W0ansiPi4AX4Q9udCf4vyOsxqe4ptP8u0y PB78/cn3BnyIAd3AE/D0g1aHvhnou4q+53i7inMW52lRm0U7lH/4n4X/XKrl bB74gAQzDtoZ7qZLFvyJgMWwALwv9I+DlpMS6EewZyfnMeTqALS+yPxLcwK4 K2k1plo7BP8T8PeHZ1fQeuRpzsfj5qtk3ANtKjpah80n+TYbnu/gfR/9s8AH Jmx2vcf5IWTv5zwa3Y28r8GWJOcd+LqYu/Pgq8nn0IjNBs0o2Shb5YN8eRv4 MmA+LuF9ecLqTrmv5Hw2ZrP6PmSO4zwkZrNPMW0E7x2z3VAM/824zfp0dGYF Lc6bPZsVg8FXQK+D3j7D6nmhZrjqF1/K4G+F7h74vCfFZkZP8JZJm3uaf1ei NkM1S2Xz8+BbkJkZtB2hXfEBMgamWwwUC+0o7aoqYDe23Jq02h6KzCzwlKT5 qrvdvH8sZrNbM/tv8Kq49YX6ozJuPspXzZTvod+dsFrSjtGuqcCmMLwXkd8L 2UfgvyNoNa3abgms5m0YGyfwtjc8I7GtnpgUJq2GVcvasdq1LRMWG/m0FrwJ qE+3HbMGegv4L+oMzxVoQc7X0k2HdBUlbaZplmnWq0ZUK3oTgPZr1HKjHr8I Pj5htu0kfr9rv3E+ybkOn4bztha7hkQsdx8Bo3yrbdXX4+DZnu1azfAJnK8j ozDFelK9qRmgWaAdsB3eaqAT9uQD1dD2Am86i/kX4Pme9aJmhna3Zrpm+0Js 2AU9N2a2KeY54BlRy5X+PSrilgPlQjW1F/o033a7ely9noec0cCDIdvx+zx7 q5pT7dXELbbSr9nV3rPd1FU9DW163GaNdoB2gWaMZk1XzsM4NxCv4ojVmGa6 eki9pJl9GnmHPJOlHlYv7+d9x6DNO/2Lade8gL+dQ7ZzDsYtVtop2i0HeZ8X tDcHoM30bTZoZpT69i+gna9dr3+CJ33rPcV4Mvgc32aLZuBc8Ktx2w3KuXJf jv7ByBgWsp21Imw7Q/nRnXaWdpd6cDNv34VeH7F/j5Eh29VnIoZrZ//p27+i /qFKPcuhcqmZqdmZ9O1fTDWsWtasKI/YrpTdmmmabaqphOZbpu0C9dhhZK1B /1th62/19LGo5SIfnlrw3THbnT9zVw4+zrddpBpULf7rGa9mkmZTWtj+aXOb Z8BY33a5Yq7Yj/HtX3mbagZ7toftn1D/GOuwPTtmurQTS5C3PMP+AfXvp5qb 6tu/mXaCdsMtCes99bh6vcqz/yLNZM3mVp71mu7K8fc/25mMlA== "]], PolygonBox[{{4893, 2121, 2973, 2645, 4915}, {4181, 2113, 2970, 2741, 4931}, {3823, 963, 2875, 2327, 3687}, {4940, 3033, 2646, 2113, 4891}}]}]}, {RGBColor[0.539088124321693, 0.4931619606242371, 0.5021654476830943], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFl32wVWUVxjf3nnPuPfvcc/bZ5yIjF7ERaESnKQcquQhKIEx8CWEl35gz gplKmmMKTjrWkEh5KRmjMQkwDC4fBsYVCMgswElNFLJmEMkcKCIw8p+GZqLn 57MY/9iz3v3u9a53fT5r7ctuWTjtrqYkSe7tlSTNoq/WkmSNFq+JLsmS5EHt H8iT5OOVJJlbTpLdLUnyTpok87Teo/WZRpJsFm1uT5JDrUnypp7Vem5pS5Lj knOpZPTobEPPHwpJMkBn27XuI57bJPdgMUm+Kjpa76dKSfKEdDitvQlSaobu PiHZx/Us1Pt3JGux9vaJv6F7F4v/hOhR7b+n/f9o/yrJHyH5z+nbMr1vkw5/ kS3/lvyR2l8h+TOle5f4npLck5KLA+7W+UWZaXs1SZ5usY6L9W2Fzo2pmC+V 3Hmi88W3TfIHyKaHMuuHnksl/y6dv002nKvLl632Cz4ZIr4+OndVZh+v1nOj +DfmlpdKz7zJ+9fq/Ry6aD2ol/V8thQ61Mz/rM5N0p2Fku8dJ58/Jjq/5of1 BvFs1P5/ta5k1oMYLdL5F6TnXMn7mXgmih7T86D4OvT+PenfT/S05Nyh/b3i fUE+6K3noGweK5nrdO+n5P9izbF6TPx/Eu/gJuvft+SYDizYZ/gOnW7UmW3a Gyn/PJJZl9/q7JXNtp+z5M5B0VY9k5Vby3VutO7cW3GMie8BrQdrfY3s+bRi +qSeNwre2xn7g8RzWus5Wj/QZPu57xPae0XP6wXnL/Em1g+32Ybzsvcn2lvU 5JxbK9l/Tc23UjLvb7Vdu6T3AdGLxH+5vvfoGd7quHMXen++ZtvGiw6T/K1a H6s5L8nPd4lX0fEm1lsr1g/dHpCM7orr4qV4Zz1GPtmn9y/V/b0r9vdXrAc6 kDvvhcx+uneZ3rfUXLvvpq7f8Vq/qvU/5c8/a31FxXYPFx2o5xHJGaz3GwqO x7aI5a1aT6cWYv/n8sMeyT9Zc05RC/dov1v0LT3LC65X1uTH52TvzQXrt102 DNJ7od3nTsTZsc2WxfpvsU+dEefXUsd6lfbubXVd75G+x7TfqffdWr+t9bBW U2zDrlllx5I4cnZvi/O7qd3xP6A4llqsD7XaX/sjJONi0Wdy19oa0T+W7SP8 86jeT4l/qej+gnnwT7dye5TeN4i+mdlXb4iWq/6+FhyT7T/Q/geKT7HFPH0i //Evvi2221eHMtfH+cCN9oLPLkzsO3TuqTtHyJVB4d+bQ2aub11an9Vd94ne LvnX6+zuzPH9lejeZscRHOgUfV0yh+vO3gXfx11gBTxg0C7qs+A6BT/+Hth9 4Qz82HBD8ODvfiX7/JKSce1OsD332W/nzlvyA9072yxjVs12/y9sx8f4Gtzr KNneD/O/4Hpkv29gCvX3zYLPYi/xpHbIq97Vj7B/Qs2y++vcFPnqh1o/r/WW ouWAS+OJl/a35raR+p0RvQd9h0rOgqLv467uyP2vaH1EvJNL9tmuNvujQ/zT 6vbHJ4WLq+k10QuPS+ZO8awXz67Mft4peiZz/I5KRqHhODY3bN99cS+x6op7 vys5/5BOS0RHNXtNDL+v9zNab6zaTuxdLpnXZMaMTtGLGsZDcPG5otf4Abwg jtTdQ22+50rRnQ3v9+SOKzWMn7Gnb/R3aEest+d+/2XufgI/54gP+cGaeFL3 xLRf1TMJswkxIBZduve6qv26Q/sv5541LtHePj336+ws+Xhu3b3rUu11VI3r zBTgB1hAb+1bdX+gL32m4Z4xU+f2V90LZmu9Lreet9aMhaOiFvbn5oGXHo6/ 8NWJmFXaG8a+zcWP+ju4T7zY2xL7d1T97QPR94ueh8gxKPGiNskVcob+TL2d jv0FuWt2vujIFsslNuD2yphdyG/y/F+Z/Xsy5h/mHfwGDtIvB7bantXRO+ll s7Ue0GqfovuC0P93uffw9/LACu4lf8FA5g/07Ix6YT7iPHlGbVPjt5OnNWPQ KdGb6p4XxkXP5CwymF+Y3T6cGxrW9+WqsR6MJ67g8uzgO6KaerTsuvpY1X1j Xt0xAk/xxeHMOAnWHqp45iMf1oo+qecyfRsavYCe0Bk1cli6XZxbzhLJXhsx 7t3wbAsGghNfy43V4H2/kDOJniLZP6p4jgRL4F0YWEE+47f1uWenTaLl6K/M bl/P3EfoJyuqjvcaMKRsuch8q2Ib0J+aujP66XbtTa94TqF3gd1gQv+q5445 decreftMw32bNbE9rHNXpJ7ZwaubUvuWGX9I2Tl0Vu/rKq7PzTXnM3ndqBqr v1B3D5kYM+cO8X6j7Jzb1XC9vyjeb2XWfZz4O1PzwTM1tR7o8E6b8fZ98Q6T T89pb6bokNSzFPYw4+K3Hsn8ddXyuWe6eN6ueJYbUXedMJ/SS+nH9E3wDLyj n05m7qi4x/I/tKnifyJma2K1qc09nLP0vYnMceGHSRF38mhK6jwjxyZpfTBm SuYP8pm8HhX+AVuYi+YGBhJz6pjauC71TMw8TP6WQmdsWhl2zRLPsYrx/erU /2PE6NrUMxPz0rDU8z34+JTojyu29/dln+fsyNRzFXX22dQ5RP4Q/yPRt8am nsuZvbsjb8nf61PPpsyl4BC2YcMq7d9TNqbggw3hB/6pyN8JMRsODn/i++7w /5fr7vfT68Y5ei2YQ652x5xZjFmOsxsz1xS9gvuwA6ygJ9Nb+cZcyP8APeYJ 3TOu7P+uGW2uySzzncQA/+PXx8O3xJI+cnfMOazpj2AoOYtMaGeswSCw6GrF eopyoiQ509o9y0+N+gK/wFWw7iXp8mLZ/SpvuL8z0+3MPR/30tmzmeeAcZn/ 4c4HxoGLcwLPkTk7MBwMuLzsOIJzywIr+DYg/PObsv+fseVCzdPPu6O/4Gdy jTwmdtNS4w5yjqb+56e34MufVuxPzo+Jf6iHM9OpddcK2EG97Ej9f0LtgU8T AivAntVR+/hjfcU++WLdGMe/0dKy85gc5p91aNm5zT8Q8+W5qOu9EaPOwF56 04V/BnxGLEbHv9X2qv+3n5fvN0Vvfjx3PJ+OnHmlbIwgP9Oiex898Be5/QGe rYp/DvLk/3IgQmI= "]], PolygonBox[CompressedData[" 1:eJwtlmlslFUUhi+ddtoZZjr9ZgChBQxQI/oHAgZboAqBooCIggu7QmRVQdQo W+KKssmiuEVFCmEti6IsrYKKskRQVuMPA0SNC1sR+CUm4vP68uPmO/eec957 zrln+dqMmTJocl4IYQ0rn/V24xD6J0NYAt2Wg2OZEB7m27MghCMlIdyZC+GP RAi3IdcHeghne+HPQ/5B6BeQL2e/m5VNh9AduQrwDrPfHA/hfmT2QHcvCqEM /Q3wB8Fvw9nnhexTIfwDVn2jEGrBKmUVQd8tPnS/Etsl+/pCf5Yxrz26s7Mh 5MC7FbzvOWvGHU2xYV++bXwA+cvgL4HOscaieyO+zEDnGLI1rEUpY8uWS+Bt Kg5hfiyEK9iwEXphFMIFYjGUfQH7y2nzeqMzFd3pYA0D8z30j4I3F/mzyPcn yLOht7Naxh2D+7DnFLYOR/4D5CuRL87Y/x7w10N3wIZVyD+O/mDk6zgbAG8A Zwnua83+t5hj1Ao6w/opZgxhncLGj9n3Q/8k9FnWLvaz4I+Bnog9h7GvK/yx kX2W73qPj9hfZr+z0DHfwn4xd74efCZeFTZtUSy5/wnu24Y/nViHOOuKP8Ph TwN7JvxSYjWMOytjtqkCrGHwp8OfAb+FYsl+AvaUs+8G3ofEcyB4StLV+DwJ G6YEv+Gj0D+DtyXms0rw6pC9hXgegd+tyDFRbBSzeuh96MzSW2J/A/av5ayu keNVm3Iu6A31dsqJMuQXYE/E/c2hR2DfjDxjlGFvLGesmZzlQR9P2fZfWSfA XpfxWybBWIZuLToN0OdZCyK/qd52KvJN4F1CfzHyM/E1i32/4M+JpHNZObIa nXHI7sTnNdDNc66lJznbwb4avI6qT9bmyDmp3JwEXj54n3LWAroddzyvWkV/ WpHfdCC68yLntmI6HzqD/pC4c2wM9EJiczLp9/8/D7C5NG7MrZFzUrmpHBwK 3YQ72+Pfj6ym0NXc+S+8q6w7oFeBd0Nj55zqTjWp2lQMFItd4D+GbhmYdejf hGw5ayQ2v49OL+7cSCyroJci+8g1/SascdBX0757MzJvQfe5dv+z8E+CP7LE uare1AX8RupvYE1B5wvk+5JfNyO/Cf032bdMu7cot5shmw//VJ5rfA62rIvc C5PgrYdei61f8RZLOXsanXbszxG/EdAv6t3gVbGvgG7LWohNc5EdBWYC7A6s XMw9qAxeDZj5YN+FjVuxZVvastXwV8GLZf3Wz2BjA76+xNmfBbZRtp4udu6o B5yBfgX+Gfg92I9mfx5bKlntihzjXti7O2HbVYPq+er9zTmbiHwV9A7kz8Xt 44rIvUA2rozs67KkfZPPnTOujWasTtBji6/Zjnw1/t1b4tmhnFJuHUD39qTf R++kHqZeJp9eBn9b5NzQzNHseUq5n3QvlQ/qcep1qrnXkD2CzEP5zmnl9kFk 5yasLx/UA9ULDyE/Hro3/m5PeuZp9v2F/uDgHLqYcc7INs23UdieS7uWlbOD 2Pfkjnfi7pHdVevwx4M9jvU3+y/TzjXNqHru+zpyL1TP/Aa6JuvcHs2dz4H1 LvE+gC3Ti2xzwKbfC52zdchfl3PfU/+7Pu2Zo9mjN341cs4qdxXLVvBPpJwr 8ke1+R3xqonZx37K/ZTvXoRMhC2V6J/O8wzTLLuYMk81p9pbmXXvUs2vgN4Q uRbUs2qh90SeBeqheyPXlGpLNaxa/iTr3FYNqBY642t10j4pxp3Y907aB9Wh eoh6iXp0aeQeqF6omCg264jXtwn3KvW5e0rc+0Sr9x1GP17of5zjGee0cjuu uZNzTag29IZ6S/Vs9W79A2xQ/YFXXmAMYekfRP8iOtsKr0vOc0sxU+zUk9Sb NHMnRO7R6tVXsKci55xQbmgGTgZ/R8b/Qpph9dw/B9khSfvQq8j/ZPo3U49Q rzjAWh7zGx5Ufac9u9TDWmheors84XmuHt4x41pUTRyFXgT/h4R7k/5h1DPV O4Up7OHY+EZj+yTfWqf9Lnof5d7+tGeh3ma/ZlXkWtLM1+y/kHHvVQ2oFv4D LrBc6w== "]], PolygonBox[{{4949, 2614, 2209, 144, 4941}, {4663, 1233, 2765, 2743, 4932}, {4166, 1057, 2955, 2352, 4165}}]}]}, {RGBColor[0.6118761063739279, 0.5187424016010609, 0.45937634641277086`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtVllsVVUUPbz3et8rvffde26lDDUkgiiOxB8KKY2pgLW2INYxFghgy6QM NcYPTGgbWsY4fFh/RJkkQRCsTIJUtAHjj+KAISCisSRgSQSURE38cS3W/rg5 5+6zzz57r732Pue2BSualmecc0OHOJfFWFVwbju+IznnSovOXcLi66FzU71z 4zDviSArcW4vlFuw5yvI/sM4Fl8O+s9iXAPdJxLnTsLGhNS59di/CrYnYjyF vR7yBujNycg+7dRgzy6sVWOsh2xSVra68T8I+QaMV/M4B/PxsHUW6zWwA5M3 /Xob/02YH0q03o1zp2N+DDoPJ9KvxXwU1vbEmn+IzZPLnPug1LlmxNwYOPeg 2WwLFdsNxFuJ+UTIJiC+ldg7Ejo1sNmLcTS+dU7ntwXyoRt7NsDP4fB5Pva8 CtlazP+B/BRs/otxALFtzAq3FyCbhvlKzJtt7SecMzorbB/A930iH05DPgK2 NsJ+pdc5PLsGOu3w8wxsbUPsX+RkdwXk/ZgvtTn3bSqRnyO95mtxZoTvRay/ ZPF9nFPOpiTyvxa2d1vuO7HvE+g1QOco5ANZzYnt3KH4LxOHyqDbaPLV0JuH 8S6Mc6DzW5k4NhPzHzDfGgg/4kPfqo0PWxHLSewZBt/ux5kxfFiG+cuY18XC ZjrGJ2HnbJn4S9sTSmW/APybYfMA9r0ViSvkMv2i3/SN/CYPD+CsZ+DDxaw4 RKzijM7guNFwIzcnZ8TP52B/OWQLvbC/I6NcTIXN7bB1Xyp7A2bzG9hIc9rf 6lUPS7z2sSaIEXnRUiJukAOtJeLBKC9fGDdrot58qPDCjfyqjHXerbFqgGce w/xp48RM5LMdddRhtdSfFT7k8PW81uZCb0+oWtiFvVOxZxF07oGNReYzfd+P bzhivAH5Zcjq8vKJeWM8jOU4bCzBfPkQcYo1T17tyIlnnA/CRhbf7Ixytjgj Ls4rSvZ7UR/nl4uqafpDHpCX5Cfr7Cj8mAUfjgOHq7Ewy0K2L5VvezHem8qf aYjpUCR/tnnV0DjLXbYgHIjPCZz1fiB8tqSKiVxmvAOBzub8YqB4Bk1OHPKR ekR1Iux3BKrJXuMPeUP86TNr/ya+kD+UKD/0gbwnJqwP4kIuLM0pNvaJ1Xn1 BequNv0RgfLCmidvySHyZmEsjrXEqhnKLoTC/kqgXnZ7ufrFLPgQQucc9kax ejl11uOsIFDOmI9jRZ3RFcnOoOn0ZHUu106ZH01W/8Qwhn0XiQfjE9k+af30 01D1eYR+hrLXWlR9rQrEree9aqkF43exOHs4UY8mHuyXtYkw68M5Fdg3LFDu yzGmgbCuSyQjL1gH/daHWbufW99k/iknBw555fCzSPlk3+b/OruneF/1xdZb MH6UVb8gH8iLy1a3k0Lln/2DXGBP4L9PFePdWB+T6p49XxTms+2uZJ1es3z3 esX1F3T3p8rBVq9/yt8IlZPA8sI+3RCo7yWJ7uIFsfo+ay5EXAXT51k7YSuP +WHI78yrP7IuulAjjxSEYy7VXdlmfbRge1n7FYY5a+qq9Zb6RGuPYtwB+yXQ 2W49kL2DNdgR6746CPmPll/mmf6y/xCrBVj7GvP5Xv7mLUb6Rz/Z+/7wqgne Iew/PIs1PyYUR/uA7TteuX0Nsp2x3hW7Q+Wl194h5AFrin3sivUrnkVbzBH7 2GOJaoc1xFgZM31hf+TeN0PhxTuKWM+wvsDeTE42G560McLql7zwxg1yjlx7 PNH9QMzHWj2zrv+E/S4vn38p6r5k7F+G4iCxmmw9lFw6GOleJO/fxb71XrHy HceY5hjfmD9yaZn1m2vWc26JVLN8623B3iHQeQ/jpVA5nOKle93yzlqhDs9j 7TFW4rAmFbe6UvWx68Zt9vlyq1PWDuuL/bYzVo0ehv0ZwLoTd/9TGNu98sD3 Jt8H9LcYCdcuw5a4EJ9fMb4SK5+JvQvOWP+vtrfdZi8uFEr0Jvw2Vs/lG43v R75vWEesp3P2lljslQv22qpQ9X+hqB7HXtfhdb/TDjHcW9T/Poyb8GbZXKa6 Yn9nn2d+L1rfYOx8W/1dqvfVz7F0zsfaU2UxEjvaZ+7pC/nDnns6lL2qWLq8 V4j/NHsDENN24y3z1WO41Bf1FuAbmjgw1rMWr4+EIbFk7z5h7+GmRPPySDxm L2U9p5HOYQ4bE8kbMP4PX7h8Kg== "]], PolygonBox[CompressedData[" 1:eJwtlUtsVXUQxv/tffT29t57zrmVR6khEaISEyVuoCRUAhRtbUGsJj4QgqXI Q2xxpzWxBaq8YnShbkQpFBIEC0VoAYsoUeNGcYExKBATkBoXlBgTQ+LG35eP xSTzPzPzzXvOPR3d7V2VIYStUBoaTULYXBHC8qoQzpRDaC6F0M733ZkQ6pAV iiFsQr4eo4VxCNOiEK6lQmjD+ItCCP8g/x5ZJ/qb4P/mWyv69/EtQf9J6OVK +ygjXw3mPN4/oN8B/3bRvnZBU3k3ol8H9vVsCE8Rzwa+XcgYcz18B/4T5GVo DXwPNB3+W+gusE5gMw7+SmiEd92deK9D9fADyA+Bt5oc98J3gvljxjEptnNF 1+I8+jepxRnlkzaGsErIXyGWdegvJtaT2HRXOMcR+BzyTt4vCA/7TqgJ20Hy aQLrBj77wJ+Ezk30P+PbQvAvoVMDfj4y/ytUgN+GzrPoDvPuh38OvAb4Y9Bc bGvx903aNVAt9oH/C77vhd5HNoHNzIx9yveD0H5i2Yi8OXaNVes3qMd83kO8 H0P3T2y2YlsNxvG0e7IZ/Cv4b6m0zlF0W0r2pZnR7PSjH/G+AE3Gfgs0nnFN VJs5xNyD7hDxz8D+Uk0Iq/LElCOfnGug/Bfg7wi6z9fSG3RWIGuAPwVGLuse V+NvLvozwd6I/hX4d7DZDv4K5Dnkx/Bfi/4Y8iXktxw6n3bP+iJjCls60j0d ebZriHkBvg5FjqUN+Y3EPVQvv+bbUrAeIocDWfegnfen1SHMIt7+nHHrE8/2 w/ibBv84OufQ7eLdC/YUvu1E3sh7HOxFsWdLO1fE/1py2EE+Vfg4iO6y2L4V /2vYL8JmAj9bqOFScrlccm1V88PY38LmGWzvp1/byt5R7eoudIbQ7UM+mHZP euGLkWevFZs/eD8au3aa+TeRpcD4r8I7n4Z/CZ2u4B1dlzgn5TYF+895v5h4 1zWzmt091ObpvHvdDO1BPpx2zz6CPwFNzbpHT+D7vYKx9E2y2dR3GfYDvE+j 8y7ySfCToePI746868pZuR+AslnPjGbndtGz+SrvfNk2slVPWmLnqFyFOaz7 lHg3/iKH7Yl3QruhfehG92rJu6id0G68fuceKacqfI0W3TvFoFj+Jf6Veceu mdeN1K3sQZ4Qz3cF34Zr0E9gpenpBL2bRQwj6N6G1uJ/Oj7n4S8uut4btJPI MujfQn8V+D9j/4j2RfPF+yDvoyX3fg549fjqL3s2dCN0K75E/mHKM/mWdjn2 rdTNjeFHY2MrJsV2MTKWfMr31YJnXTMygez3km+XZqQB2VjkXHRPz8IfLjg2 7bxun266brtu8hriOVn0LU1pnoi1Ff9fpX3DFmM7P/Hu6KY3wp/F3wcp36Ax +E/4VpH1DdYt/jjxbdC3vfADibHVM/VOu7u72rOpHdY/QP8C7bh2XT1X77Uz gdj2Y5/J+kbqVjbF7oVmKCr6xurWqkcJ79ll/6u000uI/3Lk26Weqre6Obo9 +iccQfZAwbOhm94Lvy/xv00+BxPfAN0C1aQN+52JZ1X/jB3wv0WeJd3IiwXP jGZHNZpR8A5oF9Rz9V47r93XP+8Utv8D3pj+eg== "]]}]}, {RGBColor[0.684664088426163, 0.5443228425778848, 0.41658724514244727`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1VktslFUUvszMP4PN/7oTo1EgtkioRBshRgZMaYGStilIIgtIm/LotAuJ AWLYUN+WtjEB2VhFg1p8MQItPmJEoCwNUUwgGhdYNCwYykbZUECj4vfxHRc3 5/73nnvuOd/5zrl/XXnHuu0Z51wVI4txI3WuN3DuJuTuonPnZjh3zTtXip2b A4UlkNsT58pYz0f4xuFjWN+A7w/yzp3MOTcIO0PYS7F3Opa9aej8CZ1u7F/D vB46U9B3GMMQb+CO+7H3LGzPgjyBsRvrV7D/N84PYd4GnyawnvJezDthv76o Nd7Ne2+Hzq3HPc/D3m2cq0KnC+MC7D4NvR+xvx+6TVmtX89q/XGne/6xu0a8 7t8D/dk53UH7b3r5txP2XsD8EvSfgzwLWYK9Dty9NSe7tDkBeQqjH/Nb8LkF chJnL8OH4znF/BG+GyE/hvwdttZjr4q45hecqw2E1Zf4Xo3vrxB7P/R6cc9B 6H6Ic3ug35ZRTK0Z7d2DvddwdhD6PyTCvCERXsTtCvIykpXOwhk6X7I87rQc LErlI30lFjVF5fQWbFbgy/mC8jnqlcf3IEctLuq3pMpjHIk7zP//d/2WUZ7I n0mMbcw1sF4AvXth5x2vfLwN+Q30mmDnL+jcB98K+D4B3U3Y+x46myFXYIxh vhLyLa9c7Q3FO+aCuLtI8e2Ajc9yyn/Z+E2ezyauiXJYhhwgzxDjAYubvj0F M5fNp8jy1sGY8X3KMJ2A/Be+XMX6nJywIdeJ+3AgLO7gAL2HMK+GyjMxZa55 dsrqYmks38mdoUB+0Adn9uj/rkT3rIVOirEP8yQVfqwf8ndeRuuM7WX4X8Xe K171WrXaOZ2TPvnP3NIf4uIj7bXD5ppIvBwAJqVQeeuEjwHWx6FTgs6DGcVF P3NYH8P64lR61O/BvZ8kwqwJ+wtT8YU1d6yofnIRunEoPM5CdxTrjbj3IOT1 VFx6JhLenLdYr6CfjJd9h1iRs0tT5Xsd5n1Z+UYflweqVdYp66jNODmdKkfs eewNm/LSuek1vwE5P9WZtbBZgR+t8G0M84exPgDdZfD9HPzeCJ1vQ2HDHBHb uwLxmRw6nkiSU39Y7Q/CzknjBjlSsTojFhXrCXf6clb26dvXkHfndXcmK5us k58RU39e+aeP7FfsReyz7D2PwN++WFx73/pZe0Y67Gfsa8wZewz7AzEaM4zJ mVlWj6zLXi9+sYbIffKYdh/DuaOBfFhg2JMbhUi9iv2sOateyXvZszN5cbtq bwr7Eeub8dBOFKnPrEzFFXLmV8jDkXrgi16D80+x9lOoXP+CuyqJ8D+UKKbv AvUh4kEcieGaVPliba1ItR5GwoYYkScvefXczVbvHQXVJN+Qccv1XORyL2JY HMr3PoufmMyz94L5IieYs4uJ+lUJcmYkXF71wsMZJsvwfRj6jV653Wf1vcXe oT7IMFG/rElUe8zZfqwvgh9HYfNCLK6dtxonTnynmA/W07T1zOVeuWv26tmM hRiw77F+eceqUHkmj5hf+sYYvygKk8+L6tPs88SZnGXtkbesSdbmE3wbQ2G2 OpVf9K/baoy1Vo/1ukB4kXM91h/YJ9jT2dsHvOqDetRpsLfv0UT9c9jeO/aG IZszrnarfWLD3JD7T6aKi/GRX0vsnWIfYi4ZY0+ic/zv4JtNn1nHfDdonzwv 2dkNhu2I9f+S8YAcIDYls088+I/C96nG8ngE9h+IFXst5NxQ+eH7wDd21N7o bKxcsg6Y11rDYUssLpFTB+zf6F2vO6r2jpSNP+RRF8YZzDu9+j77akNRHGm1 /tBl/xy9hjvjG4dOEqlmV6XCtdnqesp6AmuE7w9xb7P3/4z9P230qsduyF2h 8KsLdS//f3jXEavDScQ0M5b/r0PnP1YyUgo= "]], PolygonBox[CompressedData[" 1:eJwtlVuIVlUUx/d8t5ngnO+c8yEJqdRYeEErJfQbc9TRCY3xAkmNea2Z8UGJ DCKzUrTmYoLWSxcrs7EyNS0zkyZ1eiuiDAQjyCajh8Z8CV/Uqej2+/ufhw1r 7bXWf629bru+/bGlG3IhhM2cAqc7DmFHMYSX8yGcLofQkIRwFbqDu2tpCK9l IfwNPRrljcjegP8Xfgz8JvgHKiEMlkIYBf8Ksjc5/yFfgZOZ2H+IfFlNCEfB PAp9CR/90HM4D0Mfx/8/Rft4Hdt2MFvQfxG8FPvd3H0A3U2sr0IPoT+lxjHf CN8Fvx26hzMCfhXna+gq+A+CfzcYH2Hfjs0GsM9zdwRZlfh+gD6B/Bb0x9WG sAisH9FZj34TdyvhT3AWIjuNzW/oR/CfIr+J83jiI7qPEyM7Az+eWC+j/23i HCgXHfivRX4RjOXwLWB+TD72ZZbJx3H42zmfg9UDRnMUwhOJc3uKk2Bf5pws +E6yR+D/xH4M/q7i6y3wtmMbqEkv9LGKfalmql0pdi4UQwP6z3I3iGwB/AT4 odS1F+YV6On4uJJ3T6g3DhPTX8D3IX8P/hB487GdjXxrZgxhqeYBWRP6u0uu wQxkO+B/ztnnNvQHyMe98LvQGUusC1O/Xf21CHoyd28j64dfAP8l9qsLzu8d +H8e/ungGPJgnYNfV3DMin1v5lzkOJ8Qz14wbsB3DvnN6veyc6ceUi9dKLtX H8WsCtZi7uqL7pHrvVK2re4k+wKdVfhrBf93fB3A5+yCfcjXJOLvLblmzfAn 0a8lN59x+tCtAW+A2L9Bfw3289Tv0Lcpp9DTI+dGOVPu9oHXSD1v1XxpFonh +5xt5sI/VHYtlHPlXj2r3tXMafamcbcT2TvEMy71jGhWdCdZVTNb8ExqNrdG xpfP3op9yvf7yGdBr+WcKXpmO+Q/81sa0FkJPZIzEfwUvif2m/S2I+g06a1g zq91DVXLZ7j7pei7g+i/wN1gzjtlD7I96Dcguw/9p5D1ozOi5JmcS+xx4tyq RyPo/rJ3WzP8WPQnql9KfpPe1oV8bd68cqkeUa/IZx2yJxPvPs1khqy74lqf xUcX9JLUvXqJu1b45cT4VdE1VW3Hp851K/ptYO2KvMu0M7U7dyoG+F/h7684 Z8qddthq6CT1LlTMir06PI/aUd9F3nnafcpJZ+ydpd2lGTmL7ubMvpXTLdBp 7FnSm66/LfFb1JOjEsegWLTTXsr8Jr1NO2Vx6p2p3ak3rkDelnlW1APt0J0V 71LtwDbiq49cqwnEfArbxsy9o564iGwpd3flvZOnwj+X+W/QTjhMrPuJqbHg etZBD0bGUs1Uu43D9dEfUYj9J6ke6uEi/B+xe09/hv6OOuxbSsZ8NzGmsDWz BxPvFO0WzbRmex1nGvI12AwR27XMtHbMeXTnZO5lvUFvmZw6d53YTIK+cxhP GMKamnp3q+ZToO9Jvdu147Tr5qX+S7QztDsGEveuav4T9P8lCPdt "]]}]}, {RGBColor[0.757452070478398, 0.5699032835547085, 0.37379814387212384`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtVktsVVUUPe++964Y7+ecGxLUgUoTAUUtVAoFQZDiwEQNEmqRKqWM+BiY WKmfMAAiGp2Vn6JRFFv6SogYwaZToyFom0hQpECg/EaSEFRKIBDXytqDl7Pv Pvvs/177TVy1Ycn6yDl3HL8yfr9UnRuJnXsT9Ekw/sTvAdBTvXM9FeeewLkX 5yjknsfD94Po93Cex7sLoLsgf6kquqXk3JGSdFHPPJzNeNcB3r25+J9DZyfo leDthp5W3N/C23Z8L8B3DfSzONfm4pVT6AQ9DPpl0KOwe87s3kmc+wr+PQqd fThv0gfo6we9LJKNpYVzY+B/DNm3oHcj3n2QSI78FZD5NpWfb+P+EOQH4eeV zLlN+L4Imf247wJ9FvRGnpFiZryMkXy+Zw4umm/9hfx8B/L7K4qT8bTA/+UV xVMHXg3vXwB9AvQ+yE/E2QBeT1X3jUH8GTgPwKePcPcP4v0d9CLc98C3p7xs LIbNpqC3sxhrrtx/BnqSV50bEfsPoIfAfwlvf8R3DHoCZHtz9cA4nEehY2Yk 32Z45fQV6O8tqxcYO21ujxXb6ly5LEFnGsnPhU599GqkO/J4Vw96eVDsf2Wy R7v7cE6zWk63HuyO9b4D/owxZyXliH3S7uTXjlj1fg465+L+LnyYVKjGj0PP 96nuZ3nlgjn5DveTYXMb9GS4W5YpP68H9R/1L8S5xeJpyuTjM7B3H+Qeslz8 Af56+H0/+HOgfyBSjVnfN4Ly2BbkO2NgTljfOssteauMf8Mrvibo+8+Lvw72 r3vl7Axq1Zsq/+9CZx98aL4HdaAvVfUQ9X6Ty8dxiXLFOJkXzjvlWddpuOsD /2Sm+IasLg+C/yH4/dZra2L5FhWiS4Xui7Jiom7mj/q3JZqNA5AZH6SX+Vub SvY6zlPwbRT0jSD7zAX9IQ4xV6zB6Vi+kmYvtNjsMD7Gw7qvCMpfCX7u8cKd ual6qs5kZubK53H4tRq/a7irB6+WyR/6tRR61kF2a6Je6Kwoni/Lio32YsM1 YlpLIbz6BPJTEskdg76V0Ov51msOORv1oA/i3BkLd0YsLsbbZr3RjjPKhB/E oQ7TM9lLrsHwYRAy3fQHNuezpyrKI+vWbTVYkAh72iG7JFMO5gfpI44zzr2w 8TPetwZhAXPM3t+SqYaXE2FDbPEyL3xXn6jmozaD14web/1KHvNNDB4zHCYu 1CrCYdaJcbwGu7O9/KS/Y0G6WJ8vvGz2QE8l1TvuCtaKtmmjmmp+iW1Petnh rN+uqi60+WnQvHPuB20HMf/nbXcQNxnjgNW21bB0BOdjXnhzKBWuEN+pizN3 1nBveqLcMsfEv5rh+84gP3YF7YJFJj9i+onZrAN1MafEkkpVs8reZY8dzrXT iCf0mXGz3sw1/aA/jP+3XHvkV5ybDaM4c+wvzg9rPpyrT4Zw/pSoVlNBdwfV iLuROEU9vNsRlEP2OLGe2NroZbvNZJqsp+NUvZcZbjCv3M30e3YQHs0J4jPv rDf3NGPrDJI7aDHOs9g5xxdMnvn61xvue9nhbNLWUfvfwvnoSuTHnkI7jPUc AO9qLvm/c+Em3zWDLmeqI7Hq61w16EvUC8PW9/yfQfoY96fdbS60L9k3j2Ta W8SaU5n2DWeHM0TsOWH4U7N9zrso1Q7knuT8cXewN140ndzJ7Avy2RsPZ5oF zsTTXj3W4NXLg9YDqZcsMYwYQz7z+T8PTTpl "]], PolygonBox[CompressedData[" 1:eJwtlUlsVWUUx7/73msb4rv33e8FEnShloXMtIwtaC1Sh5AQE0hKK0NL2QmI GkXquGDhENmVyUii1aYjMbpgCFuCUbQNIQwhhpiKuNKEgFKjAf3982dx8s75 zjn/c+6ZXv32lzfsLoQQdkAl6PGU3xp+Eb6ohPBkOYQDtSEMIy/KQ7iL/iIO Q9isjCFsqIYwib4X35Xof8dnD7YfoJ+BvhP6Fj7nbRu6Sxm+xRDO8tYPViv6 bnxHkVfDD/L2NPg/I4+BfYe3ySSEm/hMwZ8nRiu6KvIisFrJ7yDxx8Bfhu4H YmyCb+ctQzfFWw/2s8C4A/89PvXgD/C2HLxx7DeXjCnsEeL/Cn8NmyK2e7G5 htxCvC7ko9hcgT8BXgu2s8nxELG+AqMZXQsx+5AHkecjX8ZnBVhtdWBjO1J2 bS+DUUfsNqghcc3+gF+sHOC7eXsN+Tn8M/z7sD8NP5+36YlznoD/Gswe5NPo v4F/i3yfwX6SnN+Bv4LPSNE5KJePVRN0f0MH0L8KRlfit77omqq2H0IPYXsV ebToHi1GXhXd+1ngrYCvLzu3ceRe+OMV16YWOon8BjZtBdewF/5d6Jca11i1 fgn7mXzL59Bd7BugncEz8jDf8z7y3mCMArk8z9tP1HcXb49RqzejZ0UYwmrI Pauq3w7kBbl7oW/Ut94i5hT8GvxfUbyKZ0s1XVgxidcM/Qj/AvhrE9dgk2Y1 86xfJ+Z70TOuWZ+N/ll0h5H/Re5QfYh9G/qo6B7fgl8CjZa8U9ot9Vi5/oPP QXzPIU8kzuEM+v1l64R5CP1/yP0l71MPtstzz/427Hch30D/ROKZ0ezMQ99e 8PcX+PYt0bX7Dryt0T7yVU5LVSvkB4Pncwj+WNW7oJkawn9V7lpr57X72jHt 2in0PWXPhGZjEPzm6Bqr1i9iU8C+KbO8Hf1fYD2KPJ445iPwTdG+S4i/PnNN VdvPoDlgLYveXd0g3aKdqbG043+C14x9WnAMxeqIvjXtxLiH/2+Zd0U7q909 Ev39nfh8Er0T2g3tYGPuHVUttPPT4N+O3i31QL1oyu2rHawhl9rUt0A12o39 ucy56+bo9gxXfQt0E3UbT5W9K+r5iYpvjG6Nbppu23DqWdPOaHeS1L3cCN5c Yg/cz+8BvvdL+GLqeVLPF6LPcs+KdiqF/7TqXVWN9mGbVN0bzegx1fq+vXZM u7av6t6qR+uwH8t8G7RDo5l7pF7pxjSWPfOafdW0lLrmqr1uege23dGzp53q gr9Q9m3Wjb9K/mui/ws0w0/B74m+DboBr8P/D3tJ2Fg= "]]}]}, {RGBColor[0.8302400525306332, 0.5954837245315324, 0.3310090426018003], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFVktsVVUUPX2v9zWae8895xrAD2iLSYMf2lJe64egAYNRJijyaWsCxIEE ohZtQR0aW01MnBRGRlHJA8pnIgnKxAmQYpsAJuCvPoGxbY3BCZ+WuJZrJw5e 9r7n7u86a+/7Wl7rX/9WyTn3PX5l/CYT565WnFvQ6NxB6A/h5YoG5+o4O4iz efi9mTu3AWfvR+eeTZ3bA78t3rmHg3OrYN9cOHcIwZbhV8XzPNi9BJtp+I3i rBlnW/C8FrEWI0cr9E+hn0lkvxf+q3DWj9gdsO/C2U48d0M/Xpae4mx/WbXV 4HsTvgM4/xXyN/x2Q/+jomfqjD1ZUvzDsB/Bu0GcX4P/x4jTwh7x7grsXoHe g5pfgBxFLee8cBiD/DpTPT9B70jVx8vQL3r1XsP7ca/aJiBvweYL9glsBiFn y+qtL1PuCzh/D7nqyLsHcp1Xz8Ne/dP2Psi5snyJ4yeovQv6auR7IKjvTthc KqlO1tRaFkbEZ1dUr8Op/E4nur8zeO5FTRO4l+YgG9r+nggLxieWrJ8YJrC7 DP8K5PIgjrwB/Wgh3gzAd0mqGp9H/Wu86vgBsga5pkl558PnGp7vheyD36uJ 8N+ei18LEbvX8FkK3x04n4/zlqC72mr2VyrKS9zJP/LwXdSw2Ysrd1DLLvzG 8P464vVHxWee6aC8O3A+mwm75VGcJT9595u88NoIuS3R/d1oEC48Zy9Die6G WJMX3cbPbblikEfHCvV+CHmejJqrbsiZXHf6HOT1oBz/QA55xfgQtbdH1cYa yYvXbR54bzPl/2enajUTs784d05yxvS/bZbIr6uGG/GiH3um7ztR8/J2FGbs lTjfhfpuwrYpV/5J65U4XTK+vdhod+rUG3t8GrKaiq8twGBrrtm6nWpm6PcE bFaitybYfx6Us8/udxPenYW+EfLHoD7OI0YlUT7mShI9U2evPY3ChDuIvOBc cm/Vbd6rQX1zb43nsj+dqqfhivoip8ntLtge96qpoRDf6oYb5yCxvG2p9t1l 2xPsnb11Re0B7oOfvXbfL14c5M4aMEyJ7RHEeLBQDe3QD+D8JPKuADY7jf/t QTgxL304U0MVcWVRIX1hoXes726nvs7aXn0qah/MZZrpBTbXI7bbiU9Pqp6a IJcG7cpyppkjJ/7bk4mwIL5tQTGeSVXjYYvzSFCPDZl2HHnJmebuqdns1G12 yQl+B3rt7nj/xJy77/FcPL4YxE3udObhnq7brp60engv+20WuYPavDhD7hAz YkJsQpTNB5l2K/P8iTx7M3G6I4rLa62eMbvXkUyzciCRHWvkTqD/Cdtp3G2d UTbLIL+yncndyW9XzfbDUa9ddgxyKqjnfYVwJ/7fwP5IIc6QO1nQnHvIUqb7 ehT6hVy8fyzXzmXf/N5O2W5ZnavWUZtx9j1n3xH21Grf0PtTYUXMpuG/AXhO QX4WxKMvEWfQvg27o+6b994ZtGe59zZH9cS7ZqyS13fko1RcJvaMxZljfGL7 bS6cT8Hmu1RzfTIXR1lXFTFjVJ38nhRRO/ceyFIhTnLHz6biAncM93PdeDWX imv8z/IvP6UT6Q== "]], PolygonBox[CompressedData[" 1:eJwtlFlszVEQxs+97a2Q/73/RWhjv5aGorpcOw+2BA8UtVVCIyJaiYbW9ihu K5F4wZudtoq+VGJ5RmwJYguqlmctEV7Ukvh9mfswycz5Zr6ZM2fOpLc2rN4V d85tQ/KR5ynnWvOc60S60Xf6zhUCnEF+e871YVfh9xf8K3pZ6NwYCC4mnKtA Lwmca8P3eIFzxZFz+zjrAfuItCWdu0HMMvAC7HnYC33j+ocs9k2kZ8EjYtdS w3Tso/BlyF8eWq5yzqrAnpHvG/rnmHM18L3hrAN7MzWW4b8X//f4L6TGCYHF KLYdKQX/Qr4Fufv0olfi/zJudzoB3xzsNuLnwj8b/SHxxfiOBn+AXo/PFvAj nF3FvgJnP3w38L8I36Lc/Zq4c49nd9bdE8gp6onRo1/43ocvHlmP1Kse2fCd I34QfK/gOI++nxr2OevpAfRGpDthb6S3OkS8F7caQ7AfSeNWjar1DzWsId8C zsaR/0Xuve+An0+aSFfP16n3gXF/ov+rqO8S+Dvwt8ge+KeBDwX/AF4VmY98 VWMGLBNa787CNx29mfxNqh+flfjuDo1LHHXU35q02nSnq+ApOI6BLYWjFvwg /tXoSwY4dw28IzJMb34FvT1pmO6kWS7wrXdF5Nzg2Uxrtmcg69HHBjbbupPu 1oX0o7dyNgmsmnx3E1ZDMrCaVfsQ7IbQ7qy774W/FPw2OZaDfYa/kNyPkY3Y Y+FYAXcsadyK3wH2BMkQ+xX/p+h14JvwrUF64XsOXzpmZ32BxShWfyyutwLf kG/xJWDjA5t1vfFfsDx8Ludbf+vBX+tNwZupeRS1n4wsl/7ACfQRSLbA+qfZ KPLtLsXgtfBVBHZXzUQlejM+ZeD1nGXRp6bsL6pm1X48aX9Ff2qa5sWz3N3Y Wc96JH7thFvYh70cFz4jI8up3NXYfcS7lMVuJ6YlZRyy9UZ6qxbP/o7+fFNo O0i7SD2YGtgOUH80Q//w/Yldm7A/2Anf45TNqnbcRPDe0HKrx498+7P6uwOQ +dwtHdluEqd6Pzi03aU/GGh/IfcSVqNqV82qXT37Dv9L7EzcfNbh2+XbrKon 19FHBPbejZwNR5/s21trpu569uaytQOnoM8MbfdpZ81Cv5ay3aQZG+bZDtIu 0p1/BDaTmk3N7E3i14f2NzQjF8BepWxXqkbVms79d/3hMeinA+uFdt5A4v8D Q4fMNw== "]]}]}, {RGBColor[0.9004837115947074, 0.6212092789867686, 0.291499505943593], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1VU1oVlcQvX5f3hc079337tNF/Ykx1Ww0JpqIoKgVCWopxRh/ECW2FIoG QVH3bU3UVnBhq5vS+CUxFourttpGNxrFoELAn6o0G0HcNabqwp9qEc/hTBaP uW/u3LkzZ87Mrf1iT9vugnNuAF8RXxac64ycmwz5eezcIyg/SJ0bhtEkfOtg Mxd7d7F+mzi3BTb3YVOCTQ59wwTnWrAe8LL/Cjbd2K+ys/1Yd5ac24l1Te7c CuinZc4drXCuC/om/FcF2X+Ns5/BPsP3An5/hM23sPkIe02w6UOcCyD/Rww9 2JsDPz9BfgeblbAJ2OuCzYFEscwoKr4ybI5YDDMLyqXdSVbb+uei9rieBb/d OFMLuQc+78PnOsS+CPd2YH8Tcr0M3d8l/U/PleO0XDk1FpXXg0hnmfPUTHmc QmzVmXTEgz5WVTo3GAmrFqzbEPO+oJz6YT89ExYzIOcC68nYv4pYZlr+n8JP N2J6CP2WRHkwnzX4/xJypKB4zubyfzoRfiMWP/FbVNR9d+Gnmdjliolr2rAe rEsz1g2xcGqFbb2X/nYszMkl1r3KavxJLqx4V1qhGCuLymE59MF8LkVM56H7 FfkNFcQD3nnYKw8H+SSIn+RpG+xWQ/8U641e8W/wup9xsO7bYNMK+Qo2c7zu LUN2QL8e+r1BeDGmMchrXnz4A3Kz4dAL/Z1Ycc734gVrx/PkVzvue8k4Mq3/ hfwmEZ/Hec1+WAqbFdhfFil3SubP3Ik742fd66x3aH+yqLPEkzVkPMz5gvUa e67ReEuM2i2v/2JhTd6T829i+d6F/dmZ9G+h2x4Ja8ZPDl6JVHPmRV2D9SB5 SxxfJpoLaRCfRiyeeuMkuemsXptgU53LpitWr5JztbnqMDxBZ7iuifTP2nUZ f9jr1eM4GLfJ8b+8uH3Piws8F+F7HStG1nwU337c9U+qPLgen1OUq1LNMvZ/ Q1C9edcx6HbEqkkOuTVRzW4h9omZsGwNwmxnSb6fZOIGOVKA7RLcdQ76g169 d8ir1g8t33Kinn+Xa45+XBLvHwedKyO2zUE5MtdLNhdYP84wrhkH+36l8ZB9 1mS16LF+ZF82VSpW9lGwfmJuBdzxGvKXWHnXGT9Zh7UVwvR4rvMnIH2QTQt8 tgX18xj0N1PZjgZxizHuD5pHjK8G2JxP5fNcqhlADpCbx4FDP/kflP+aCtVx e6r9STj7eyr9b5B/xtqfgnUSxEPy8VkmHj/PhCd9MbfeVLXoSTWDiFGcCWPq aXMmliQe7LPeSDgwp7UWD3tx2N6y6149ecP4uMz691ksznNWNQb5+SFRTRpt Di/26quLXvOD7wL5SvzJdc5T4tFnMZBnrHNnLNyIOecwa8BaDHnNpmab2Zwf 5AprQH4Nmv339h7MC5pdD+w9In/ZF+Qw3zbGcygWH4k5cexLJTmb+Q6Rbx9m 8s1ZQb7x/kFbz8cdZazrg94G5rQwCAPqGceYvQfroR/NxMkO+N4Q5LMH6/dQ 0AR1 "]], PolygonBox[CompressedData[" 1:eJwtlElszVEUxu/r63sv+L/3f/9HxFBDDRu0aEVCTBHjxtAiSFqJRKobNaxN LUFiYdoYqgQhVqgIG0KMiagIwkZiq4ZaoIaI35fP4iTnu2e8537nVq5vqdtU FkJoRMqR51EIxXQI65DthRCO5EM4kwnhFPgh+HQcQmcqhF58L+LbWQxhBPYc 9jHYL5ZCmJsL4U0WX2IrsB8n8TJimoitBJ8CLwc3gyvwr6WBt8gw9EqkA3sz +aeQfx0+cbnP/oBHEH/yf3wDtufUPEft2/TQTr0O5G7GPaiXlQXnUo1V6H+w T0/5ThOTEL6Qc0HKMfXgErg2eAYd+H+lXiO27/h8Qm8m/ht6gv0juAb/fVnf cSh4JDUP6O7g0eBqcr6g9nDkMLHzybmU/G3kTLBNQs6in0OOYr9Hvv7kf4o8 4X614P1Z33k4+bqQWRn7TMDeFnl2G+hnD7k/Y2/AXgGeCj5GPzU599yN7Wfk 2c3SvMETqH9as8B/Cf59i573Rnrsgz6IGu+xZYgZiL47795bkSKxlyJz4Tr2 s9ifETMj4x7X4rslcb051NuKfoizYWWeyTjwj8jcmA0eTOxkzhqCZ1KDHnF2 sNxvVEf+LPIq7ZqZ2JxS/Cv8W/DPkW9x1j6rI99Jd2vjrEqzTdx7NTEl9L0F z66G+kvRHyPtab+R3kp31t0X0sM19AH/8SLwdb1P4rcTp8Stq7F91YN60Q5p lx6Q/yv2l+ALad+xGvuQot9Cd+gFfyB+m+ZP/GDwSvIvTDlmld6q4F17x1k7 +tzYd1FMN/p5aszLeSe6sG8jpi7ls8tw4W/Ju3mHnuuwfco7lzjfRL3fkbkr Dmj3HpBjbNpvdh+9HpmSNifFTf0J+hs0s0fonbFnoz9Bf0NL5LuLg0epvZN6 /cqcs0D9WwVztS9nN9F35K0/RfLYuxPvgjj4MfEOahfF8S/oVQXv4kzwGmI3 4/M64z9mJPa9kbmhM9nkI19xVFwdn3g3tQNVid9I/Wrne7CPKpq7muEv7U7i 2Wk+jbE5KC5OA59B74itl+FzQruU+C66866830Rvoz9Cf4U4KW6K4/3wb428 e62cDS35T9PfppmvKJgT4oZ61GyHlOyrnPoLr8TeRXH0RmROi9viUA/4H6UR uAE= "]]}]}, {RGBColor[0.912111184765991, 0.6502779619149774, 0.32754467277457205`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1VUlIVWEU/p/3Pcu646OobIai0QaiyTZNNmlCFgRNiyBtVa1LU1sEFVS2 ydSntCgLguYoo0VzEIRkEwS5CyptwKCJou/rOy0u59xzz/nOfO7YrTsrduQ5 59rxeHhm4uUEmI3gb2Wce4X36XiKEudyeJ8COst3rgrf14bOHUrLhvrtWfFt gXOd+DYDfCFkL/Kdu5mRDSnl5FeHwn4CegZPX8q5Stj2wKYDemXwFWcVz+1Q OIv6CaMJfvfjvRI4zXh/Bj4/Lb4L/CbIWwPF0254LyEP0+KJxRhOZ4V5CnQO fCyE7GPsXCP0nhs+8Yg7AlgViOk19P9A/2ekvMcnyoO1WoocBsbyX4Q65YHf Bn6Kr/hYL9q0wVc18spCPgw6xyH/Bv5WnuTdKcXKPBnDyFj8D+iMihU7+7A2 EeYn8MWgHuIcgm9BWpj0/RhYu+kLtBG2BZA1IfbijPxRTkqf5OtD5dEDzD2e bMfD5jDq2QSbifAZWYxj8KwK5OMBMEuNvwg/qxLFXu+rt7ShfjP0noJPgY4L hX0Z+nWwrQd+BLtH+LYe8T+M5Ic8Y6uIVEefeeA5CH4A6Ds895DDZ2CsTtRj zhF7Ng6+5qf0nXGwx7d94U0E3pJQOotBvwSKsQZ8A/g24EwD3oZINfVi1XhZ WnXeHKlPoyFfY7H9svyKTaeX8wCbL6ArMEvz0urByUg6ZxDLV4uPsb2BbYnZ 7vdUN8Z9rp92gTP9NpZNVaBaP7Y+sFfkWVNiLM8XDnvJnpYjl17j2ecC1GgX dPpntd+cddaMs8sZLofOUU865fZO+VTg7IG/uYipKaud5l4Slz3h7eBOXA6F dyTQ3jCH/zeGfAn0P1l9WCfudKPNfIOnHFkT7m6H3ZBcIH+8MZzxlxnNeUug vf6NeBZkNDOcHc7WvxmL1Ff2txP5DfVV37OQdXuqO/XYW/KsW42vfZ3gK8Y+ m3nWtct0cqH2pDVUb9l79pexM4eilG4c61EGOjyrW7EPmHszqu+/+cS3ZvD3 QY95smXuH6B3ALj9Y/l8an7Z526LmXExPuoPjiS/BP3rhnUD9EqkvAZF2mP2 gPUnLvFLE9081p+zTllovVhsO3IX9JqvGl0ATruvnFvB37Fes+fcQ87ze94q u2u9gfJjvpwlzglrwhhydl9Zh+++YijkrkXKOQ36OVbtuaPnI833Veius39N zu5HdUY1Z41n2E3mXNMHZ5ffa0zHT8RXB8qP/WAMAeS14PdCPhl8C/sU6D/T bDi8DTnTJ2ZdRnkxvxaTs4e15mtlorryloSJ9GuBuSVSDdbYXeXscm65W9WG yb3mvebN2h5otngDqoyfjRq0ZhXbpET/pI02v38BwKH4MQ== "]], PolygonBox[CompressedData[" 1:eJwtlElsTWEUx7839NH23nfve0ioOSFKa1qYakO0prZoKyFpWUiUFXYSirJo goSywWu9hgSVSIihpnSBGhKRiKkSCQkrpEWIqSF+f6eLk5zznf+Zz/nGrttc vSnqnFsLxaFBgXOvY869gYbAf/edmxxxbleOc37KuVeeyTuQPeTV6Evgt4Fv TTr3GP0Y9G+gYuQIPp6gewrF4K+gL4tbDMW6CuYQ/GHoGny0Hz8bzBmwlWnn uhPObSC3UaFzpWCWwTcSM0n8PKgBftYA57aTS4NvuelNunZ8lMTNp3zvQL8T 3TjkBfi6C7XEzOd/39iUkvtNMMvhO3hrjpmNbHugzqjVrNongmmBTxCjCv+F yBnkMnz0EvsW9sdi9nYAfC0YH+xR6Cf6Zt5acyzGFbB9yHMi9jYJX/fBrwI7 F/kR9VfwdkO181aHrhi5jtyP8zYZPr+/H7uhRnydhLrhj4Afhv3g/vkuRO4g fpAyrGaqWWfJYTv68fgcB3+QtxFRqzHLLGKh5b8efRT+LJgm8F+xb4ff6duu aKaa7S7fZqWclFtRynJtEwZdAT6n4f8lNDxtNam2vdBH8lsBvhPsPuTc0Hqk XmlmXfAzoG8Ry1+7qR6pVwH6InQfkLuihtlIvKqUzeYc+9JDvHLoWcJ6mA+2 kPjpiPX8AXxfYLOtRf8bPhvYbi7G5h2+3kKLErbT59HVJG1XVdPKpO2A4k1F rkSuIN7zhPVwCbajkZuQM8gjiZ9J2y5rH7d6dlO6Lc3kOHy9b71WTe/Bf4Hq cuzmPsP/wf5FwnakEv+f8LE/bjVUB1azan8FVaO/x9vDiNV8C+ydpN2GZn4b /kJguxLDXwmxJ3jWC+10iK+Lof0V8lGOvg2aHrWYNfgfCGZLwmamW0pj3xCz G9oAfz1ptz8PnzPhC0K7DfVEvdEMNUvt2FDwPzzbZfVPt9Qbmq168En3kbRe 64Z7wJ7Cx/wB1pNW325at6230+gy+Mh19j+0wP/ybBbawTXIf9PWK9WUxb48 ZbtZj81S3Y5nvGaq2Y4OzVZ/lv4u/YH6C1VzG/yUlO2+bly3rp7+7y02J4iX F9qua2fWIscD+zu1Y9o1L7RZame1u5cCu1Xd9GX4PZ7dkm5Gt6Md0i5pBrng /wHqPrzm "]]}]}, {RGBColor[0.9237386579372745, 0.6793466448431863, 0.363589839605551], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtVUlIllEUff+s8c0RaJqSSWr9CgWa0MJKCNRfozC1CAJtWuUyLSOFpkUl VIJTLYKiaBEFDYuobBZr0bZwE0E51DYqos7hvMX77/vuu+8O5553/5XdvTsO x40xI1gJrCL85EHRgP0r35gFfFdAZqE7kzSmMWZMKtA+CVmN826sQpw3ucZM 43wesgy6Hqwi6BcT8rMePtdljGlPyb+JjDmYNuZfaEwM5zHo7+H+Cc+Y3Tge cOALawt0bcjhJvSnYHcL8pirPJfg7jB0G+G3Hna1yOsu5E/cPwSbXfA5H8j2 ZEJx4/g+DbsEZEdK+izu5JDPQ3wPIWYz9mdhk4HNJsRbBZtnkF8c1daA/UfE vI1VE5ct98Qng7u9qCsN+QP2NbCvRJ7nXeFUhv1v1DOIO38stozLOi+4wmwK /vNxfwb7I45w2ZBUXdtw/zHs2yANZJ2tOZuQnvlM+NKP+6qPOLN24kCfrJd3 6qzP7456mUPcUV84jvnqJ3uThEwHqpPYVNues09Jy4fCSNgUWf2kq1yuQ9+C fQn7G6h+3j0HXVOo2nO21nybG/tTHRcmHbCbhVzjCbPlcfV6Cjl34Pu1r/NF y7Fi+FuBVW50Tu5xz/g8Yy03ImFFLDut/5lAfWUNg+RYStxirFHsP8QV+7In XC5BOqHezCfk0hqKE3/he6mvOPcd2dGe72Ovo1xcyLWe8n2PuPtdcfEb9uMJ xW01qoM18E5XSrHYR3KCeI0j1lBavSfWjFNsa3+UErbklwmE54SrfpJPzG/B EWf3IN+rkd7RsCucWTPrveKLe5OQCV98iUEWOMqfdfBN78Qqha+vgfb7XGHW lxYn+FbJvwHoCyLlFYPtA099z4tkP2bjcq5kLc/Ix61pcfZzaPNHDr/sm+Lb emvnVSXkcVc+6Zv4Ms830Jd4qn8EcpntEXtFXhNHYtiP+EdT4mFdRt/sBWdP p62R84jcnAMGc4H0B1zh0GXnGznFO6UWX+KcC5VXv/XPuUKe1VvOD6bVp+ZQ /WuBrAiFyWrIIBKeFYhb5Yvz7wLNuXabW3ko3Fo88ZKcqSXGoerqdzUT8uxb I1+mLR8221nHmdfjal5fjNSPVfYtuJbDL33VwXqIz3Zf51Wh3tKsfbv8H2Bf yYGnnnw98TQviTsxb7QcYN+IGe+yZ7zD+cl50uppz5nK98EZy7h3fPGBvOhz 1bOxSP8n5C3PeO+a9fPc0xt74UlXbfX/AbWcvMY= "]], PolygonBox[CompressedData[" 1:eJwtlElIlVEUx+9735uE933vew8CbTAqS62nUKAFLSKFIIeoKDU3gVa20l3k EGk0LaIgCnxmLYImWkRW1CIqm6Mo2grtmhyCdpER9ftzXBw4557/Ge45/3uX dPRs744659qQGPIv61xXwrmjnnPXAucOpJ1r5ryHs2TOuXHOFhBwEDvEfplx roXARXHnGnznusFvcJbD4V+FPYh+HEw0dC6PPYR9EjuBXQLmBHqenMXoFeSb 9iznONgJJB9xro/8RfRWnrbaH8EfQr9BP8fAr6FcMfYWMA/B5jmbwf5DvkFy rSPHNvRe33L1IimwqdBq1+OfBv8Vewe+Xch+sM+JKXPW0wv0EXp8Cz6F9PuW Q7lqk/SFXaP5gG3jrAt7wDesztJgb5N/Ib5SpBHfE/DL8M0H8xi9Aky1ZzM+ jX+SnurorUpLIraARIiNgCkFP0M/N6k9gTQTm8jZrs7gv4v/b8581cSPku9V xmal+7xGv5Izn2Z2Ff0ZMSOe7bwusJ1qt+pZvX+gn8X0sxP7G/Y7ZAb8J85a wR4hphN7KfIZ7Kxvu9KZfI30+CBuM9fsz1JzddI4I+5MgX8TsZnvTtuOFT9M zHJim7K2K91Zd/dC45Zm1J6xmWv22qF2OUTNDmpXIT/I9R77smczbkYvEFND /C9xP7AaqiXOzOKrzBp31lPvEvUaA+OWOCwui2OyVUO1NHPNvp8cffRyPrBd 6U7n5PMtlzB3sFeQvxC3O2pW98gXAzuG3KL+o8C4IUx51t6k3mYL9l7wkTn+ 6v5TxG7N2Hz0puL4BgPbRTv3O4wey1hu3dcTn5FaPXzyDYMfxV4bM46Ja7qD 7iKObgxsRooV5iLYZGhvWTVVe4ge7sdtxw30+2XuPWnHneSaCu1tiUM/fduZ elfMZvB7fOOWYhS7D7s1bm/8emAz0+zE0afop/CXRG0HZVnLqdyKmST+e2iz 0h+ivyTFDoui9oaLcsZxcV1n9egJMJsSxolhelsZGLeVU9wvn/ufxPlK9KbA uCVOiVsDaZu1evqt/WRsXprxBfRCzv4K1dTfOhbaX6Cdz8P/H+evqDg= "]]}]}, {RGBColor[0.935366131108558, 0.7084153277713952, 0.39963500643653], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtVUtsTVEUPe19975K7n9AVVJeShufiYRWDZp0jMSvKQMRv6Ea9Kc+qfiM GKCf954wrZFooomYIMHkReiTGNAJbQVlolGfEs9aWWdwcvY9Z3/WXnuffXOH T+zuqjbGDGE5WF5szH7sG3xjanExidVchXPsF6DQhrs53F3KGFMF3c7AmFbX mOeQv0FvADobodPsSq7H2Xvon4X+r8iY34F8nsFZHXTuQ3ag04XvJ5Cvp8YU oFdDLDj7YP0ehV1DYswIbC7ThycMmYx8u1j7YHMR+wPodEKegl2LKzx5+NyE uzH4HIHPcdy1ws8w7kdd5UwspSrhKYayL2DfmlVc6jbCvh+xI+CsxRqEvDyV v25HtiX4yWKth7yIGC3YG4H9oK8YczgbBYYK8OSxe47iJlgmVg6fodsQ6u4G 9nc434X411LxQa7ILfOnPvM97qs+y7CbVDrkddByRX5mfNWzPVI9yN0qYFud iIcrgfJgPkuhP23jMv6OSPF+Yt8MTnpxvh06PyLFXwPfZU88kc/6RPq0W5ko /mlfsYlh2ld9ttga9fnirgjsLyGHwLEOuX/B9xB0cvBRwFneUVwP33047w2E hTI5J/e9Vnarpc8avGXPQf6EXO75qlUCLKcC2UyE6mViYi1yjuxpW5PoDQwE 4qbsiJ9bsJ+EXAnliz4nfHHAnmGerPkeTzXuCcRdIZUde5K9/ihUbo+xD2Id gnwuFJYp2xvD+O7B+Qj2mVj5vUGsY/A5D/k2zt1Yb2EnsOwNZPsVe3uoHJnr K098ska0Y33ZS8TYkRHOvO134l8IxEN/oEXZSdS/ZdsrrBX7knXMpqoj68mZ 4dm3wL1kZfLF/IuRcuVM4Lzh3CGubbgfC2U/i5w+xorBvlgbiY8m7EcCxeWc YC51dkadDBSPdSMvvKtAfuHbmRRrPtGW39lE9W4L1Y+hnWOLyOU16vUn1bun Tq3tKfLAPpz11SPnQ/FKflkDvjnOKfb9AvwfgPwd+79EeY3ZGcM3znxoy/fD /ImN+sRQH6rXirGwlG396iy3zJdnnFOsGXs/a7GxD4glG6u/ee6lqh/x94Gn q6l8cH6wF8gVvwsWH/uIOefsO3oWqU+eRpoVnOOOnUnzls9W+07uRMJN/Dft DP5re558tdgZyb7utm+qI9D/owS7JYny5Ntlj+RtT47jbgXku7F6cNLaNiWq zUM7O6nDfuYiZvL8H3Joz6Y= "]], PolygonBox[CompressedData[" 1:eJwtlEtsTGEUx890eu+QzNw7dxYelQxVaYOVhLYsimURglRZiHguWWhLg1SC jUeCPqajurVDExKxQYJNibQSC7HqI0HZECVFWr9/jsXJ/Z/v/M8533l8t/rQ iV3HK8xsO1Kpb8wXcAmZypqNI/Ups97ArCYxO5Iz+4Yepc0+5s02RmaLCNDA 2STcKeyP0KvgN4Pvw1kCDuHXwH2G9IO3kWsT+EbBbCf2JvTr4HZ8OtDbkYB8 Zc6GiRcip7F9Il4V/t/JdxT9PTlXp9wnhN/I2V/uvhYpxX4H3eUkPt3kG0B/ jH5RxRLrBZwW8O7QLEesOvQk5Wcvwa/gNMBfj7Ti28x9RkLvUZF8O+AE4HPI GP5Xct6rDRmzQbhbkLfw95EuJNZDOGniDyP38P2D/R3cbny+qFY49eAi9jdw rxKvD70HWZ64j3zV0yG4nTnvjXoyP/EaVWsb0gM+S4wR7AfRu9D3wG8MvCbV 9jrvtanmlcQuoc9Ry5BmDo6506nQZzyDfVXks1cMxdIMNcsM9s3grZHXqjuv 4D7VidemHqlXl/EZDb3m38TO5N2mHqlX17CXAr/zDHgS+4W0z3gCPED8zrT3 qCXnM9PstHMHwGeQveYz0qw+Z33Wmpd2eyzvvdXOjYN7I+/VAnyK4DtZ350R zmYjr1m16w1MYLsbe280wwfot2P3FX8Q/ASfUtp3/Kl2nTusy3iP2uGn8v62 utTTgueQ7yhi+B+Dswa4H/s0vWvCXp32GdRiK8fOnwenH1yb+NtTzjrw4oLH Vg8qyRUWfDZ6QxnwXOJv57kePfqtyN/mB87K4POR74pq1tv+mnOb7qS7/Uj8 bpqBZqEd165rppqtciq3ZhqAlyX+NnS2NPEaVat2rC/vO63d1sw1+1///z+t UH/G/g/Qv0A9bMO+MOv/Cu3ELLYOzoIK71Em8R6r1zqbxnaz4LXqn3UY/R/G XZdI "]]}]}, {RGBColor[0.9469936042798417, 0.7374840106996041, 0.4356801732675091], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtVE1IlFEUfY4z4+bN9wcqLSrNaNFKQ6FFVmjQH1Qo0V7IVRTlOApFgaus MMXKfnBZEKSGtWwVFBo0bdoEmqkt+gOF1DLTOodzFx/3fe/dd++55577qtvO tZxNOedu4CvFdzVxrhb2tHfuD9aVOLyWc+5v4FwRDuuwx0PnGkqcq46dq8s4 N1WiO104b8B/hP9W2E34X8T6QSCfJfj3IWYjfM8g/k/8F+AzhPN9iFkPnxns 5/EdgU+V1xl9JiPnLqWdq0jJbxD/ZfAZxL2TOcVnnk7cmYTPXeTJIH4a606c j+F8xelODvFagG+hRBjpQ0wfEfMY64FtRq4pnJVjfw32clqYLuC8mHXuKPFh /3xGXHTDduDbifUs8jbB/wmwDYXKvRsYvgPTYwBYg13OCSfx1mMvb/dfpsTZ ZnyvIvHbC/+iF+432EvH5p8TdsZh3qc4O4C8o6H6x57E3vqWVi20G7Z+l1U9 rOVOJH4c7l5J64z73xL5pGJZ7pMPckesxFkTi5855NqCdT/8DifqMXmtgJ31 4ona+eTVQ/acXHYYBva3kFWPqTlqbzgRJmLbCKSvFylpbDnWuh3x9ofC9TVU D8lho/V6wfRZWybM/F/H3R6cPQyk2wnWAZ+RSOuDOcWmrpiLOfj/A/sTkep+ 6xWvPat87NUu0//rSOtW02ad7TMu429D3ulSaYx5D9k+8/eYJtnTRdMoa8nG Wn9A3t/g5T3qWU0Un3XWWn/Zb/JFfMQ5HYnjLuN52Ob6unHcVyptr1rvQ5wv hepDL3w6s9J6uWmt23TehrMTWM8gfk2gOsawvhUKA98M9oxYHnndZxzqoCwW nkJOM9Rn++SA/SBX8154iKsx0N09sP2JejkAm4TicTTS3LL3NxO9GQs2R3OR 5n0WdiAjfZabDgrG23avOgPc/RKKj3+R5pXYyNN8pHftcyTdcm7J6z1g6obP fauVtfOd4RxyHp97vQV8E8a9es598sV7XaYBzhbrpY45P8R50Ss/cZAf9rxo c3s7Ur+HTLPTFoe4iZ/vKPVDTsjDRiytVhqGJnsHMolyjAfihXk5n3wnms3n mdd6BHWc8nbPS6c9ps+tsfitgl0JNc+/YHd46W5vIL7ypp+8vV8Zez/IMXFT U4xJn//KHdl0 "]], PolygonBox[CompressedData[" 1:eJwtk0tIVHEUxk/Ow82dO/deUGlRjU21aGWhiyCjFxFFEVq0d9GuwtcoFAWt isCUHmPtE1qUYS1bRFBoi1m1KNB0tEUvKPCRJSP9Po6LA9933v9zzr+563LH pTozO4akkaXYbHqT2SuUy+A4MGtBX0qZLcIb4e3wG/AafDwyK8KPEvwc/Cdv dhXcSo5T4FpoVsG3AZ/zxH7BpzNj9hv7GLZn8Bnsk/DjObPtoeMIeY1/gRoj +DfQzyr5ZvE/A9+N/SP2UfwHiB9EHoIL6E5QawieScyeEnOEftaRfeS/C683 7+keeASfFhS/yDdH7r/wD/AeanwH55HrxJ4kZhe5u8nRja1AfDv1OuF74XuQ t5HXUK0ach/eC+/D1krOcuIz0WyG0W3lbVcCx3rjNngJ/wFwL5KK/Y16q3Kk 4QPYB8FT2k/OZ6RZqYd31DuLri3jM9FsZtBtwX4a3WdwFekA57BXiN2JlLK+ sxV66yG+kvUZrCbes3qXTrYm/C+A31D/IvhA6LNRz/Wx71S7lc86vBlpgz8h x4/EZ6xZq4d58KPQd6cbKoKnIr819TwJXs777jWzOeq9DPzWpvGJsdXFvqs1 +EH4WuK1moj5l/gMNUvNTLNTz+pdOx/G/jPnt66ZaXZR3nPrJhPwrcR3qz9w E3wo77V0EwvkygR+24fhVWqVI9/9CroH4InAbcqp3PFGft3kC2xjgfuO875y 3m9c79XMqthmA397I7olbO8j353+6Dn6vZP4bvUnh8DfNvrTH/gK3h/6rfaz jx3kehz639Uf6iI+TNymmpr1J3w2p/yPLlCrH590neuyvG808duTrg/b7ZzP +hrvKWKfCP3v6Y/or8wHblNPmt1/XwuXFw== "]]}]}, {RGBColor[0.9586210774511252, 0.7665526936278131, 0.4717253400984881], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtVM9vDWEU/d6bmfcs5s03M6F9kgoaFmIhabsssUAqIpKS2Fg0DSvV1rPT Te1IUOrXP0AiQdGthV/RVBBL+oRXG7wmtaEJfSrOce5icu/cud+9555zv9k4 ONI/XHTOjeEJ8HxKnTsQOfcRdix07k3Jub2ID0Xyl5F0I0cuDp2qOPckdi5C rDNxrob8AuJbCs7tQm5Qdm4JZ7sRD83vChW/h5yZVGdZ4xWeDsTqiFUjq4n8 EfizRdWtVdSX/b959WvCtiNnBmeLBVkOQr+Ntij8rDFc0vu6RDmXYd+jbxV+ A3278d4O/yHsGsTPwL8J/12sWl3wbwP7eCAcuVef1KsGY70ofT6XPY5zm2L1 7010jufJz0rm3DHgacP3fcD/vaAzj1DjCOJ1vD8tKoffolz4NyD/BbDOIXaw oppHSzpLPsgXuTqMvLf4toK+YSZ8nJUaUlfquOTlJ7n0Wr1Kumwrq/ci/Fn0 6kHNl7ALqNOPvCbsL9sBalLA+yhyHOyfTHhasKdRexLxPnw6WRH304l2gf24 Dz8yzZsB21wqLi6gdi1Qr07TbtTmepDI3k80327kTAFnN74fCsXbiUh6kffU NJqOdY76kv+JRLuyB7h6THfqT67JFfl8bTs5lggPOfcF7UUciJ/lUDtN3vpQ ay16T9leM5/4t5alK98v5uJ3AvZsrm/nYFuh7gln+ZxprijWveM8nOWD8UOe rnr1veKlw7hhXrS9Ie75WPpS5/2Rcjj79kRaUBNyyJ7UgnzwLhHzdS8817zu Ssuw7fSqUQTGgUDasNZCrt3+DXvJuCXH3DPuAXegkUn3edg7qbh8DIw/vXIa 8J976fjM6xtzNnvpxJrNiv4fnJ2YqfOA3XPyW7P/Bn1y7k0/8sF/zBcvLOtj zTVl/w3m1k3f//tk9RkjHm+8cj86jKeqcRXYPnMHdnjN/NVrF5jH+n9TabmS qgZ1ZB3uEf+31G3S9uxuqjh3mv25m9SPvPP+Dtk+8F4yjzmDFdW9hRr/AJMX r4A= "]], PolygonBox[CompressedData[" 1:eJwtk81vjHEQx+fZfbbr8LzsPqGthISGROMgaXusl0NFRURSEhcRGj2prpQT iXDTxOu2+AOQSFTRqxOCSoijqJetC7aJXlRCdfH5ZnqYZH4z39+8fGdmbX+l byhnZj1IiFzMzHYVzLrRL6B3JGbNebNj2CqxWaNkNoi+gG1LavaB9/fAbA+2 T+i3wJ/Lu20D+j9sFXzDBP8G/mPJsRGY15HZCWLmKaCVd1gmKXIc/xS2eXx7 kXfEKuB/zt9xYkzw3t5k9hnsDNKDHhbNqvhegOlcit9O/odIC3pAvAfo3chO 0uR4b0b/mnovvdi+oO8gXyv/W5B7xLoKxpSbnFfQ67HrbZgPUv8EmJVgc9gy /hcir+0Nf/ZHXpNq66T/6+htifeiHMq1dSn/afwzkXMsrsXxX2LfT7x2cRLQ azOYAeI/xjaIPsKMNhado2fgQ2zLlzknNfCNxGv5Sb2L6GeQQ3mf6VuwN3hP 8/cA+B/g12AbanL+T6K/JGZXwTHCjlBflfcp6p2n9t/kv1P0Gf5CHwP/J3TO VoMvRx77Ef4B9MnEuVeOAvjbvOcC76lB/lrkscWJuNGOaJaqYYrY08iqwHf0 vXLx5wh/z4K5mfjMhdcOroh8hpqlZtQbO2fibhM1X8r8j/7uxn849p7Vu3ZW u3s08ltQjkVy5ZD2wHuezZxTcdtBzWOp96heNZPz+Oup777+bEt9Z7Q7fcSb JdY4OYbJn+K/iz6aeqwFZJT3tdR3R5yK2yTzXdEOr4v8RlSvZqrZTka+i7oR 3Uqt5Lcljvtjv0ndpjh8BfZy5lzIpluul7021VQF+4QY+0K/Kd3W+tRrle1p 6pyJO91YF/j/oy2OoA== "]]}]}, {RGBColor[0.9702485506224088, 0.795621376556022, 0.5077705069294672], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJwtVM9LVGEUvTOjL9A3731vdNpUC4nIFpVF4UJwVxS0svWYFdGiH47/gNRa BR3Kf0BblIK2aRmpgRDtKmcoqED7MTNCmzbRDzuHcxcf977vu/fcc+89M33X xkfu5s3sBk4BZzIx68+Z/SyaDXSatXDZwPcuznl8H4BtBLOL8OuwSzj74S/D rqVmIx1mz2OzTcRdht8HzGXiwfbiNAuK4f2FklkV/hfkvcirBvF5twd7FCeX mU0jZwW8roDT8X1mUyXh96Buzm2v+x8RvwQ7C8wfiG/BH4OdKQhnCHUPp6rz CjyruCt7bgV+l/fLOuyX8Z+AGcF2IP5JUK1zjk3Mfsci5lu814F/Ez00YOdx TsGvwU7AWl597aTqkzOYRW8TwJmDfRdU9w3sRqp5HYFt5zQj1hhFrWfwm+Dw J9P9LdytJurzaaJ3zoh9lQvaF/l+dR7fYMvIOQlKxxD/Gn43e0nUP/fOt40g HbwM2iF74R5/Jfp+FEsrnIGBy+OgfdwvCaPpONQCfe6dNVhrEXYxFg7xxnym W0Ga4W7IfxpYJ7CPGdjvmfRDrXFXlzo1G2Jw75H3w5qbwDmUiO8D+INF4R7E 3b2SuFRQvx6LP7VP7pwb36gLzpEc2DdrEL/mO/2cKZ+xcSzNll0PrMe6DxHb yoQz6nojB75RI23XPH9DnBFrz6WKIV/qgjmMP5tKO1uxcq9Hyq8lymtm6pm9 r/ue70TSHGM5L8ZzltRM2/XLmVPnV4v6DS4Ab7yofk7D/xfk8+5MohjGrrMW eK8Fafl2pDjutuK/o2635LSdiksVuR+Cdvc+aGbkwLkRg997/n+z69wWvO5v 9Djsc/gb1BM5sMZ/V7meCQ== "]], PolygonBox[CompressedData[" 1:eJwtk7lPlVEQxefjASbw8S1PHo1biAs2ioBUJHaSmFhhbUy0MHEDahqsxQgm +hdgoZAgjaUomFhop/KeWmjiytPExs4Ff8dDMck598zMneXe3rPjY1daImIY a8UuphGPODi8LWKmGvGiiBhtizgEP9MVcQF9BL9mEvEDfiuP6IYPEHwbfAf9 J3wRfQ7+q4z4njjnb/AyegLvJuc9ch/vMt6O3YX3ZREdlYhz7Zzj+yw1P41N oQ1im8QfxOpoo8TXiJ1Av4EWpbUZeAIeylyvajiaOYdydWLPib9WdW/yUW91 ajhBvhr6AL7vS/dGOfEO/Ab9ZJtrUm0PsTH0Dfg++p3FFhLPYB7tCf5H8G9o BuAG+nn8d8D3gr9gk/A++DHwbmIucdkEZx/hy9RwveL61MtS5t50dh+8B//L 7c7xOffMNDvdUYdfrXq2vcRPgxepoQf+lPtuKnfVu/4Gf124Z/WuGlTLKjn6 w/2t5faRr2bwFjyfeZbyqeG/gp1q9R0L6HPokxW/kV3gDfb1oMU70+7WU/ce nH3IvUPtUjGz8i9dq2KapWesWprYAfCn3LNSjmHw/i1dNaiW9cJvVTttgNPU s9DOvpLvMWf9W/vU2/u/o8Rnq+CXhXelP/Cq8J26Wztdg/8pfLfe5F/wzsxv X29cb/0f9ytuRA== "]]}]}, {RGBColor[0.9818760237936923, 0.8246900594842309, 0.5438156737604463], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJw1VDtMVFEQnWX3rQX73rv7sDLGQPhYsWCBiZYS4sZOaoMJUQuKpbL102oh UNgrKp9KCkuWj0tiZG1AFno1LJWJFPgp9BzPULzcuTNzz5w5M7s9k9PjtQ4z m8CXxzdVMluD42lm9gr2UMFsJjXbx1dB/Cx8x0ichv8K7m9xt5zZQjC7Bbsb 106c74CxlVOskdOddhtvPxaFxXg5kn8pKG8sNluG/Rf5K8D5VZDdhbSLid5t ID4A+xD5L3HeQ84R7EHEDhCrArOF8xrqfMrr7WJQrTc4a3nVYt3+M+LGO3ur eJ1tvB2LVIP5xOpyzklOfa4i/yZqr0ObScTvuibDBfFm/oeS/C3kNIFTgc2W n6Wy5xH/CvsqfBdgDyJ4H3nnUONLKp1b8M+mwn0NezWo1zuwD4kZiTfv9IeS 9OAcicP6nBm5kcOwcxstar7k0/A+6SevE/dzXtSXuNSDupDr+yAdBlLNgDq9 SKQ9c3j/HovDlPNhX6c4zaI4/Syorvl7vpuIlcs35F/1OdD+nWimfxLpRS6X EtW5ESmHe8OdOZ+IIzXivB5kOrmn5M1YH852GXMEn5LvLW3OmbjE30evI6n4 fsP5JFMPO0E1q16Xs6pF0vlyrN7mgvaDe1IP2v3/M0POeKx5rwXtJffzYSb9 iMnaTd9D2nvIuQ77c9BMaFMjYrddW2Js+X6uB+1GI0iz5ul8I3Fg/53+m62D 4+1YeLvI/1HWDJ5Dg03HIV6f61bn/0QqnB6cvak4HOB8lOl39TjTHLhbrMtd Iwfu1T+Qc47O "]], PolygonBox[CompressedData[" 1:eJwtkrsvrGEQxoezS/Ptt99uKafgCJ2lcEmURIiO3iUSyqXRurREXAr/ACcH 1WmUdsMhQZzGZWloEFQSCpaC35PZYpJn5nlm3rm8NSPj/dlyM2vEYth5ZNYd NxvDOQ7MlpJw4M4Ks5uU2T58Bj4sM/sHvod//WF2At+TNlsjJ4P+hNh7SC1i x3CP+L/QLhDLikPTmjA7Ql9FrQesHq6F2FvMayyij+Ab6GuSnBfez/NmQ9xz lKuaqt2Hfge/udTPKP4hfiHpeIQePlI+k2ZTTi3cKfW64p6j3AH4bRZSV2k2 Q+9n8E9lvpMLcBv9FclvwpbRF4j1wPViwwmfWbP/xz7A89TIl3uNIfirUr8Z ZroEz6b9rX34TWrliFXDPaDJg2uSjrVD7TIX+O4PsF24S3LazXu4Au9GXls3 2gP/wQxtCn8DvBr6LrXDfvr5Hfgs6rkI15XwXr7oeQv9SuS3Uo2/aK/ZYUeF 31C3/Ax9VsXEFUvz68+so59O+9uaaQpcIDYe83230P9gwm+vG8zBT+Bn4665 hc9Fflv9gZ3IZ9bsffpTvBcEjnUz3U5/UH9RO7lD+zP0WXQz3U430q10k2fw N2iqcCY= "]]}]}, {RGBColor[0.9935034969649759, 0.8537587424124398, 0.5798608405914252], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFU79Pk1EUvbWVCvl+vH4bEykhmJiO6O7kWruSMLBD/wFoRxISQB3cFYg/ FhxIQKCQtIvajZB2YoaEDUIhNVHP8Vzj8HLfd797zz333PvK8/Xa4gMzq+Hk cZ7FZp9zZmuJWSMzmyqaNTN9039eMvsEe4PYAs5Gqu+nyOvDPn5oFsHW/Pst 8l4gP8a9jNh3wSxBzDJ8LxFzBv8BfEc4T+A/pC0KpwL8aeSPgtj3yGwXRDuI /w3/q6D6a8A8gH92RPW+BuXuwTbywicO+ZI/ytpWEMejSDnEZ8wFeqvjvo6a c7CPcC5zsuRGrCUATCB2Frm/ULftmFXUrxbE7xv+jcPOpDq8nwZh93KqPUCN Lr7vEunBPOJS713HXcD/5yPC573tvTPvR15+9lgpqkYrks6TqQ7v1P4kFbdj 2NVM8XPQ/iM4Zaj9IagX3ts+W+JTX/JiLrFaiKsg5jioD/ZDzv80IodBQVzJ kzoyZjsIh33ST92pwT78w0T17mGvS5pjiFSffva4EynvvdflvJnPef7ljX8z sWq/Dppn02d67/ibkThyhuRZjbVnK5l6IiaxqXfXtWXPPZ8LZ8IZd3zH+75X rNPwWsRuuA5Xvtvccb4Zcv2Z/J9r5jtE7DHYYUk69jCjTX8jfCvrqbS4TcSx 7/vzxffvjWsbO0/ikyv14puhFieI+QOAq4OY "]], PolygonBox[CompressedData[" 1:eJwlkjtLg1EMhlM/rbfvOz12c5KCVigdxd1/ULoqHdRV+weqHQXxgg7utt7q ooPgta04iW4idXFXcFOsoKA+IUPgTfIm501yUtPF/HyHiKSxTuzBiwzGRLLd IstJkSZ+byDyRCwfiVzgP4IzXSJX4EtvuAfOiBPZcsadjIu8D4jskb/BT8I5 ABci670IfxvubEhPBGTJ18n34+eoPSE2Bd4g1kbYH9qO8JfQlKE+iz8TGke5 w9qT3ALm6DVEvgTe9/b2L5xjuKsJm/OO99fAZ+RD9I3COQeniEX4OUhN8Ka3 2kNi42iv0uOD+hr+OvlPZ73usTa44W2WFvlr8j60XeiMOmuL2GvMdnyLv0LN XGAzjtG/nLRZdGe6ux9nb+ub3+BndjoRtxqtrWDlwG6UBn8506Ic5TYSNovu VHe7S89iYDPveLuZ3q6AlZxpVu26gzr8vtB2qTUv9Kt4u4XuuOrtBnoL/RNv 6D/1tku9US6yG+utVaNq/Qd9/VRc "]]}]}, {RGBColor[1., 0.8864191044360302, 0.6307858208175567], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFUrtOQlEQXLggiXLhclsTEmJMNGCj/oBKr7G20l5L37UNmvgHBl90FhaK mgid1ITOXhM7AlpJnMlsYnGye3Znd2f2nNLmzvp20syWcAKc75xZH3YIexmZ 5dNmddgLnBD+cmiWTcsfAbeIeyNhVgO+mFGuiPhvUrUt5I6QKyM2DfsJ/Cti 1VD1N/ALsO8F9fkBpgvbRP0EbDuhnsR+hYpvZc0ixFKB8kGgnsTfJxUjvpIy G6Skawg7h3PrXDmLM1nDWnLmnLb7b4H2QG53Wek5xw4OYuFXwGUqo3nU+ILc LOqfYDcCcepReyzccSy+Xe9/FUnDNWwtL651zPnAwNUxs3H4S6F2uh+LS8N3 xZnEkCt5Vlxjy/VTO3OcV/S9c//PkfqwhvjDWDxLOdWOXO8A9w7ie7F0t3xu z3fNnZXT0ku/67vnLNaxP/FVf2vujNzZi/G1UDUP4LMQ6g/sAjPv/mROvXve l7FO8M+BOerhP+B/OPHdzqTV9yyvtz7N673pUzf9vv/zZiT8Y6QeZddCHpxH Ln/SgWL9 "]], PolygonBox[CompressedData[" 1:eJwlkbsuhFEUhdfcSOT8/39MK5FMNGQohBfAA7iUqOYBaF1rDROeAOMSlSmm cJsEHbWHMImOGSri29nFTvY+a629zjqnUltfWstLGqaK1E2U3nLSaEm6o6+n 0jPzfJ/0PigtJlLVMEQf9LfRucWC1A7ScvBdj2g64APBtS34K/STnHUxGqf2 M2mzDL/fNaadBU/YF6hjdvfw/wSbgF+Hf5B536MOo3uad4R/zvwD/yrnmm/6 i+iYZbAsc4nfrYBmG+8j8N+8a6bB7pnHSp7Rsu7CGeF+T+CnYBvMr2gvmafA K6nvWqW26IdSx/7wvw5e1lumk+iZLJtlnkl8p+3OODuL/kb2Vua5g1cjOmZ3 bII1gr/dC35feO2V/S/szxbY9wC/Ks/Qjs4xrt25S/8P669CbQ== "]]}]}, {RGBColor[1., 0.95, 0.75], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFUDtOw1AQnITiNfZzlDImSpyKFnEC4AaUlBwAWgJX4A5EkdJScADu4XQU lqBIYZEySMywI6VYe3Z29jOvuXu4uR8COGOcME4TcCAxIn7l52MAXJVAnaIm XtwvAu8z0PP/k6NPNfEd45PRMp7HQMPea855qYANNefE8xT8lJpv92wZO+OB +yfe2xsP/a/NT41VvygjfxxHr26QXrtmKe7uvE/zL8u4WV7fKVxY81VGfltE XVj8ahQ+34rINZOW/vdPfIP89d4rnfR1jlmas+RtTzl8NzneTvp1EX40t7LH 1nO2fovKuHOue+fp2NPi+P47+59Zo31/eGFAbw== "]], PolygonBox[{{3378, 1820, 1819, 4727}, {3395, 1825, 1824, 4730}, { 3617, 29, 1825, 4731}, {4727, 1819, 1821, 3379}, {4728, 1821, 241, 3828}, {3394, 446, 764, 4256}, {3396, 1826, 690, 3560}, {3611, 764, 1820, 3378}, {4730, 1824, 1826, 3396}, {4729, 690, 446, 3393}, { 3234, 241, 421, 3980}}]}]}}, {{}, {}, TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3377, 3980, 3234, 3827, 3828, 4728, 3379, 4727, 3378, 3611, 3246, 4256, 3394, 4255, 3393, 4729, 3162, 3560, 3396, 4730, 3395, 4731, 3617, 3706}]}, "0.063`"], Annotation[#, 0.063, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3708, 3621, 4283, 4284, 4282, 3409, 3563, 3171, 4743, 3408, 4279, 4281, 4280, 3260, 4260, 4261, 3726, 4583, 3082, 3163, 4732, 4733, 4257, 4259, 4258, 3247, 4241, 3380, 3724, 4572, 3831, 3830, 3829, 3982, 3981, 4240}]}, "0.06`"], Annotation[#, 0.06, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3381, 3983, 3235, 3832, 3834, 3835, 4573, 3725, 3382, 4242, 3248, 4263, 4264, 4262, 4735, 4734, 3164, 3083, 4030, 4031, 3873, 4679, 3874, 3261, 4032, 4286, 4285, 3172, 3088, 4594, 3734, 3410, 4287, 3273, 3622, 3746, 3745, 3422, 4746, 4306, 3892, 3272, 4054, 4602}]}, "0.057`"], Annotation[#, 0.057, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3440, 4067, 3286, 3893, 4069, 4680, 4068, 3102, 3633, 4311, 4312, 4310, 3424, 3567, 3178, 4747, 3423, 4307, 4309, 4308, 3274, 3875, 4056, 4055, 3092, 3623, 4289, 4290, 4288, 4292, 4291, 3878, 3876, 3262, 4033, 4584, 3084, 3165, 4736, 4737, 4265, 3397, 4266, 3249, 3612, 3383, 3985, 3237, 3833, 3236, 3984, 4574}]}, "0.054`"], Annotation[#, 0.054, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3076, 4575, 4576, 3986, 3990, 3989, 4244, 3613, 3729, 3728, 3727, 3398, 3561, 3166, 4586, 4585, 3730, 4268, 4267, 3263, 3877, 4035, 4034, 4295, 3625, 3093, 3748, 3624, 3276, 3707, 3275, 4314, 4315, 4313, 4749, 4748, 3179, 4604, 4603, 3747, 3425, 3636, 3635, 3761, 3760, 3759, 4353, 4352, 3572, 3710, 3287, 3634, 3439, 4350, 4349, 3902, 4071, 4070, 3103}]}, "0.051000000000000004`"], Annotation[#, 0.051000000000000004`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3465, 4084, 3295, 3903, 3296, 4085, 4622, 3108, 3644, 3645, 3441, 3762, 4613, 3104, 3188, 4351, 4072, 4073, 3904, 4354, 4842, 4857, 4856, 3442, 4759, 3443, 4356, 3288, 4319, 3426, 3749, 4605, 3094, 3180, 4750, 4751, 4316, 4318, 4317, 3277, 4296, 4297, 3735, 4595, 3089, 3173, 4744, 4745, 4293, 3411, 4294, 3264, 3618, 3399, 4269, 3400, 4270, 3858, 3856, 3250, 4012, 4577, 3077, 3159, 3837, 3836, 3988, 3987, 4243}]}, "0.048`"], Annotation[#, 0.048, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNzr0uw3EchfEjggVViw1NwzWwSIwGaSLcQAdba1EGd8DCQItYu3lJuAqD 3aatjVG9Jo3P8OT5/s85v+Rfqu5s1IeSVLAwnnwWki+sY7aYrE0nB/I59zy+ 5R3fFS75ftP/4ReHE8kVH3FZ17VbtevxDxd0i+6VyWRMv2c3zPvcR0PXstl1 j8gbPMrP8t5U8oq2twPZjKyGY/sTvOi66OBJ/shb3l/af9j3sS1/l22iJT/H Bcq4tb/Djf98sCvyPV/zsv2prokzRDbwpq1vupf0/59wMaM= "]]}, "0.045`"], Annotation[#, 0.045, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzzsvgwEYhuGnCS2JOk0sEiIa4j9gpIlIB0aJw1qbIBJiZnFINJj9ATMG JhK7maD/gKWuDnfu73ne922/b3Rtq1YvJKmh2JNc9iUNtHqTG75u5/5kRL7A Oc4wX06aWHVTxpO9Z1QwiVc3K+YvvMxTbt7sfckb8iev8+lgUteHWwPJrb1N /bf5u75btyt38Q437G3rS1zEnf09/RzP4hEPuEfFzQT+zI/kD3czfIgD7Mu/ ZicYs3fM41w1mzYreocF/1HiJd/UyR0Y1g2h4Llpb9Hsp/0N8pXf+Ae6TiuH "]]}, "0.042`"], Annotation[#, 0.042, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzz8vQ2EYhvGnaigpijSxGkSlsy+gk/YcUmNjMmBiNNChX4BVqrERJkHY S4KFL2AzSPyNmUj8DFeu89z3877nnPGl9YW1TEQ0UM5H9BQismgMRcwORyQj ES151XMNOd2beVGfmN/1Kf9yZyDigA8xL5v77+22BiM+OOEHpPg0l/TbznTN BWcmZU1MyL/d/4M6psz7+h2753avcI0ZVNCUX3LOTh823NHmTXm/s1uc50f5 tL0V87P/WOVX/uIXXuYj/THG7Jb5Xn7rG+5QQld+w1W7p7oan3FRNooL/Qk/ eV8vZ5HBHtrYtfsHhz8yVA== "]]}, "0.039`"], Annotation[#, 0.039, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzz0vg2EUh/HDRt9oLCo0EhOtRWIw2xrCU4NEkFhsfAIv8QnYeRqWGiX1 urP3O5irLF4iEb8OV677nPM/z3Pfkzv7yV5fRGzjKhcxOhTxlY3YKER8c0ld LkaM8496U7/svKQ3wXN69XzEGi7st7lkNoYTs5XhiAG5QWzZXVV3zBL+49RO kxtc1+vaSeSy8jX9DFf1ln23Yl7FDM7kZ/mXp/mU72Se8YJF5PWP9DN8zAX+ 5Bwf8oPMI54wjzf/6qKDD7z3LHdg1naHCjdQdN5Fx2wd5723I8UUWvZa3nCL EdzL3vCC7CVfq/u5ySm/us8/OaM0mg== "]]}, "0.036000000000000004`"], Annotation[#, 0.036000000000000004`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVz7suw3EYxvHXgMWhrUSIShSTOJYrEOaKpA0WIhIRiTpcgVAXoCaLJkw2 LsHgsBCHq9AOZjr4/Idvnvd53sP/989tlpf3WiJiC/mOiIFURBbb3RHldEQh E1GR76uH5Dns6B3wh7jujBiW/ZrZlR/Jbu3cyN+67KhH9P/01/WbdDS5I59T F82UUDP/QbPyQZzonfIVFPDDn9FA0TdK+FR/YVJvic7I8phG1b1Z2qRT9Jw+ mnnCMxaRlh/LU7QHGSx44zzq+Ea/22VUvekC9eT/7TTou3zCnVX+lV9L/pmO 2xvDg/5LcsvdBjb4Pr4X97hDu2wFbepW1HCFS3f+AZJJNDU= "]]}, "0.033`"], Annotation[#, 0.033, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVz7srxXEYx/HnHIOUe0kZlIFc4ojjfhuUUUgdk2TScR1cd/knWChyWwwu u4kiBpT8CSzMR16Gd+/zfD7P9/l1amaXJ5YSETGPvqKIg5KIk8KIfC7AXmnE gHyX+/lSdq2v5Bu+4lH5Pd+am/gRD3jypqU4okp+xqfI2v3GiixZHpHAufzH 7jc+5MPefuETFWURI/p6+T3foUOWRs6dHu5FJ7rRhXE7rfbf+BUnvnGMKd2M m8W+U4RJ87a9FKr1L3b33czIf2UZ8zuecSQ/s7OlW3Qjp691Y828ip3//2Pv 0N66eRMbmJYN6dJ2x73v4AXv27kNg7oWHtOlOKvLc6PZ7zpZIyfNc/IEN5gv +A+t7zbh "]]}, "0.03`"], Annotation[#, 0.03, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzrkuBmAQheERSxT26NFQICjwk1gbDYo/JHahkkiIiBBbQaGgsxMVsSQK ROUWqFRcAFdg6fAo3pyZc2bm+0rGp5NTKRExh8ysiNPciDNk4gLnOMmLKMqJ KEZXdsS9vpOuFUSM2cnBo7knVKIKE7zv/IgvvOqf9XU0gS/73/jApDuftN7t BNb1hXbW6LH7C/ZK8CDrwJt6nf7I28y1oxmtaEFSVmPmlb5ggNePFPUIHcUg hjGEPn6t+VJ/6PZeGR3zx1/eknwZi7jw3rV8g59q50q/wr+kq/93ea2yBvtJ c410yp0MeUJdxns3c0tvcGRnXp4ur5ff0UPeAeb4afo6/r5+D1tu99rbVc/K a2TV2NFvynpk2+oZWQW/HE38P8adPI8= "]]}, "0.027`"], Annotation[#, 0.027, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0bsrxXEcxvGPieQ4h4HEwkQuI8mlXIpyGQxKFg4zJQmD61EWf4HrYlEM KAkbs8HmsrktGBm9zvDu+T7P5/l8fqdOZXp6aConIhbRnog4TEYcFUTk0wIk 8FoUcUEv5WW0HBX4ka8XR2Tw7f1Gv+itXoP5Hb2no+4+0ge+iT7jCX+piObC iCr5Nb1CRrfEjV/6h3w3b+Qb3qXyd91W2oYWHJjvY0leg6SbKaTdn8iiM4kx pDGOEfeadF/oM07sH2PNbNpO+Fa1Gyv8MjZ1G1Gl86R/ZL4qz6Nj/Cc+cM6f 6hyYLbiTy7e4s8NvY8uNPL0z+S6/j73s75N1mw3oDtsfpPP2+2kfuszq5b3e RXbnzFK0h6+Td9MkPysvpF18rbyTJviZ7H9JO/hr+g8xIj9R "]]}, "0.024`"], Annotation[#, 0.024, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3138, 4941, 4949}], LineBox[CompressedData[" 1:eJwV0DkvpXEYxuFn4kwhxnJQDCqJSkGrMJlM5FimsXU6YiyJWFrFnJmMY2lQ 8AEMEol9OQdj+QyEFpWSBF9gLsUv93Pfz/J/81b3jXWNfoiINB6TERvFEZuf IgroFt2kXwsjTug/vpKe4wyZ0ohsSUSiLCJHr2S3+Mjf0GtZfVFElb0duo0R t94wIUvYz8Oz2Ts+RVtQ6Tuq8BnTZitoq902LPNN/BJdsZu2V4ukOum9F3W/ GwMYMjeMHxjEAHrcaDDzQO8xJfuDhHqWziGDmfe30Sv/Zr7R7W5vfKHjbud7 /6/+KlaQ5Q/1583m2znm1+Q5uv7+DbKUXr2ZbjfK5ZPulNEuvk7+ZOaSP1Xn 7PzWL+U79S9oVnaEX/IOWY3/3E4PZYtuv9k7UKf1v8vbsM8v6L3q7al/6jXL U9jlG9zowX9t+EUt "]]}, "0.021`"], Annotation[#, 0.021, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0D0vg2EUBuDTwUBoaTWRSCX+gWgiaYySDmISn+nWBAlRf8HsazQaSNDW ji7sGIiVsEgw+FqwcHW4cp+c8zznefP2l1fGK4mIWGCnM6KaiqiRJMVse0Qr p+oGOfoo66W4Vt8wwCB5vrsi7uSteUEO82t3pSPiRy7LN71786L84L25273R ZMQVl1yw7ewfq85m0xHd7LJHhifSfJrP2fEl095YsmuRkh0FvUf5wLreGi3q LXlk94asy01Z1n/lhWcO9PZpU9eb5zmkRpV5/aL9096cYYqsXQ2z82b6tjOZ yPiHeiFPZI/MkWeMXibdHZET8tiZgnqIEv8e6Tsl "]], LineBox[{4661, 4186, 3353, 3970, 4547, 4548, 3525, 4187, 3354, 3972, 4549, 4550, 3526, 4188, 3355, 3974, 4551, 4846, 4867, 4866, 3527, 4803, 3528, 4552, 3356, 4886, 3357, 4189, 4662, 4190, 3358, 4887, 3359, 4191, 4663, 4932, 4936, 4934, 3689, 4943, 4946}]}, "0.018000000000000002`"], Annotation[#, 0.018000000000000002`, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3392, 3610, 3245, 3721, 3559, 4911, 4913, 4912, 4582, 4029, 4914, 3259, 4885, 3871, 3872, 4593, 4742, 3407, 4855, 4592, 3270, 3889, 3271, 4910, 4053, 3420, 4062, 3285, 3898, 4064, 4063, 4348, 3642, 3643, 3464, 4380, 3463, 4764, 3193, 3107, 4092, 4093, 3923, 3924, 3925, 4631, 4772, 3479, 4860, 4630, 3316, 4701, 4702, 4116, 4870, 4115, 4460, 4905, 3130, 3811, 3810, 3501, 4495, 3590, 4498, 3503, 4496, 3502, 4896, 4497, 3683, 3820, 4948}], LineBox[CompressedData[" 1:eJwNzssuw0EYhvHXyoI6X4AmTht7krKWKIsurKlDKfpHuQIR1q6GOJTEpnVI 3Ijegt/iyTvvM/PNTLle1FoDSar4HU/2x5IDXI8mM6WkYV2ZSA7lrH7Dz8kj fYVvynn9ll+Qx/oqvz6cnFq3cIIzFKjyF7KNc1zhEht8MZJ8+cM3PtF1X4m7 t9fVe9h2dpq/896PvuStPnrch1xG3ZnByaTM7VjvYRdr7mm678XcK57xhg6G +Cf5bmbK7J/eRwMVfREP9jblo9yS/9jaKaI= "]]}, "0.015`"], Annotation[#, 0.015, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzTsvA1AUB/BjM2hRiZEwqYlBbFhEYhApg7m7EoN6v581ScMn8Ug8JwwU 8Wo/RokP4Gf45X/vOefe05adyuRqIiLLcF3EZDIix2cioiq/+WGGUf2VhohV lllnjYz6ptxigx22GVPfk/vsckCBcfW8/z4a7eGdL/tSakd6b+6z5vL/b+v1 3H9TEcd6Zeey2Tm9tCzoV9T69atU1EpygAUztU0RnWrzzkssMuKfabtevSvp vchnmVQr6t17++h+J5/kg2yXN/KWLroZMntIwo4kl2rXXNFs/kye00GaHjO9 nDgPylPZKlu4MN8nJ/gDxrQ7fw== "]], LineBox[{4947, 4916, 3676, 4461, 4901, 4939, 4945, 4902, 4904, 4903, 4117, 4704, 4703, 3317, 4853, 4923, 3480, 4892, 3481, 4420, 3927, 3926, 3303, 4928, 4094, 4890, 4619, 4930, 4620, 3194, 3913, 3912, 4907, 4908, 4906, 4938, 4937, 3100, 3186, 4757, 4758, 4347, 4922, 3632, 4953}]}, "0.012`"], Annotation[#, 0.012, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3153, 3699, 3700, 3556, 3603, 3225, 3720, 3701, 3702, 3557, 3604, 3226, 4815, 4713, 4714, 4696, 4816, 3227, 4817, 4715, 4716, 4697, 4818, 3228, 4819, 4717, 4718, 4698, 4820, 3229, 4821, 4719, 4720, 4699, 4822, 3230, 4823, 4721, 4722, 4700, 4824, 4825, 3549, 4236, 3372, 4889, 4925, 4826, 4827, 4676, 4677, 4897, 3704, 4935, 4944, 4929, 4956}], LineBox[CompressedData[" 1:eJwNzksrhGEYxvHbSo0ZL6awsdDwBbBzCjmEmrIZ0iwMZaRG8insp6asfAGH j8CwcCinnSVRs7Kgpqz4Lf79n+e67+d63/7S3kqlJSLW8dsZcdweUcxEfGEn HZHFWxLxjjGM40DWh2/nHyxiCcvIdEX8ccN8ldcwr3cBszjSO8dNe007G9zd EdGLHlTMiv5h1OyTP3DuTSsfygbtD+AMOWyihJSdLW7jCT2nek5Q9m5EPowh 1M0vOC2v87X7JV/xrizHt+5PfMOPnGQjqr6dmL+438mf+Z73ZTM8jSm8yhv8 gALK2MakjpqOPArO/wCjMxY= "]]}, "0.009000000000000001`"], Annotation[#, 0.009000000000000001, "Tooltip"]& ], TagBox[ TooltipBox[ {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3157, 3558, 3723, 3722, 3232, 3608, 3609, 3233, 4239, 3376, 4726, 3375, 4678, 4876}], LineBox[CompressedData[" 1:eJwVz70uhFEUheGl9P99M2G06AgXgIRWoZlCopVQCQUKQS0h1Dq3IVFR62jM jPkxElG6Ah7Fm3fvffZZOWd6+6C+P5BkAxdjyeVIsoLVIlnD6XhyhnPMVZJ7 PIwmv7yDmnqXp3jL/lOZPGJP1rqcZWdLeHH+zIV5icFq8qV/NS/U81zhJv+Y N7jU38oY5iF8m7fMq+oFnuUOz3CbJ+VOoGOvq29xG+84Md+UdaQ+xiEW7Xxy n/v8wU1vb+DKf2/85xpv+jt3azJ6drr/u+jhDw8/Lqw= "]]}, "0.006`"], Annotation[#, 0.006, "Tooltip"]& ], {}, {}}}], {}}, AspectRatio->1, AxesLabel->{None, None}, AxesOrigin->{0., 0.}, DisplayFunction->Identity, Frame->True, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImageSize->{490.22727272727315`, Automatic}, 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"}}}}, "GridLinesInFront" -> True}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.882353399904924*^9, 3.8823534398663683`*^9}, { 3.882353647633873*^9, 3.882353676356699*^9}, {3.882353716623851*^9, 3.8823537457144423`*^9}, 3.8824210398498096`*^9, {3.882421077045025*^9, 3.882421130976942*^9}, 3.882421498359668*^9, {3.882423516943931*^9, 3.882423544762652*^9}, 3.8824238627130337`*^9, {3.882867369847785*^9, 3.8828673785810738`*^9}, 3.882867789674388*^9, 3.882868457679789*^9, { 3.882868501901722*^9, 3.882868537046026*^9}, 3.882871597629115*^9, { 3.882871796046742*^9, 3.8828718459066563`*^9}, {3.882872047392091*^9, 3.882872060079914*^9}, 3.882872119085088*^9, 3.8828723702076797`*^9, 3.8828725321746187`*^9, 3.8828731175750513`*^9, 3.8828734590819807`*^9, 3.8828736561246853`*^9, 3.882873954433775*^9, 3.88287456216481*^9, { 3.882874637267109*^9, 3.882874666371213*^9}, 3.883105852540347*^9, { 3.8831099456410217`*^9, 3.88310997067447*^9}, 3.8831102017788877`*^9, { 3.8831104450617456`*^9, 3.8831104559385633`*^9}, 3.883110761739184*^9, 3.883468947545887*^9, 3.8834729621780567`*^9, 3.883473331608038*^9, 3.8834793142932043`*^9, 3.883479383393044*^9, 3.883479635710585*^9, 3.883553790022189*^9, 3.883553832771365*^9, {3.883553959810821*^9, 3.883553971165102*^9}, {3.883554191053564*^9, 3.883554231527503*^9}, 3.883641272608241*^9, 3.8836442336554947`*^9, 3.883644890056961*^9, 3.883645019112156*^9, 3.883645345502302*^9, {3.883645505438012*^9, 3.883645662312215*^9}, 3.883646046958832*^9, 3.8836462988537083`*^9, 3.883646449238927*^9, {3.8836465002949743`*^9, 3.8836465090191307`*^9}, 3.883646558778575*^9, 3.8836467423032207`*^9, 3.883708497991164*^9, { 3.883721760669757*^9, 3.883721778716421*^9}, {3.883721824346439*^9, 3.883721843470553*^9}, 3.883722064861602*^9, 3.883722205655966*^9, { 3.88372361563008*^9, 3.8837236224509163`*^9}, {3.883723690790511*^9, 3.883723736011222*^9}, {3.88372377710293*^9, 3.8837237852408237`*^9}, { 3.883810934040372*^9, 3.8838109437708883`*^9}, {3.8838133311891823`*^9, 3.883813339359695*^9}, 3.883813581669477*^9, 3.883813626072631*^9, 3.883814022179655*^9, {3.8838144259231567`*^9, 3.88381444549296*^9}, { 3.883816303560357*^9, 3.883816338769309*^9}, 3.88381642097686*^9, { 3.8838164893247766`*^9, 3.883816532283369*^9}, 3.883816634102497*^9, 3.8838167811442823`*^9, 3.883817132812429*^9, 3.883817196977854*^9, { 3.88381751923562*^9, 3.883817569995205*^9}, 3.8838178496095877`*^9, 3.8838180008730087`*^9, {3.8847700946825523`*^9, 3.884770096817354*^9}, 3.884771902380024*^9, {3.884771966375272*^9, 3.884772037453115*^9}, 3.884776332288706*^9, {3.8847765752300797`*^9, 3.8847765947127*^9}, { 3.8847766376655073`*^9, 3.8847766586662073`*^9}, 3.884777170998395*^9, { 3.884777253566815*^9, 3.884777283823307*^9}, {3.8847796700656223`*^9, 3.884779675167552*^9}, {3.884779711675523*^9, 3.8847797594265003`*^9}, 3.8847799825607758`*^9, 3.8847818647352333`*^9, {3.884781898109952*^9, 3.884781963599761*^9}, 3.884782060173778*^9, {3.8847821186783113`*^9, 3.884782144731091*^9}, 3.884782630148099*^9, {3.884782687079832*^9, 3.884782759292513*^9}, {3.8847834063423367`*^9, 3.8847834371848907`*^9}, 3.884783773724824*^9, 3.8847838535490103`*^9, 3.884845242229047*^9, { 3.884845297727296*^9, 3.884845365705917*^9}}, CellLabel-> "Out[183]=",ExpressionUUID->"3888c766-54c9-48ae-a45a-dc4c8caa44f9"], Cell[BoxData[ TemplateBox[{ "InterpolatingFunction", "dmval", "\"Input value \\!\\(\\*RowBox[{\\\"{\\\", \\\"0.06392930059687474`\\\", \ \\\"}\\\"}]\\) lies outside the range of data in the interpolating function. \ Extrapolation will be used.\"", 2, 184, 80, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{{3.88477727346978*^9, 3.8847772828622627`*^9}, { 3.884779669036487*^9, 3.884779674192841*^9}, {3.884779710854744*^9, 3.884779758610293*^9}, 3.8847799815933027`*^9, 3.884781863890913*^9, { 3.884781897325919*^9, 3.884781962745256*^9}, 3.884782059374297*^9, { 3.8847821176132803`*^9, 3.884782143681095*^9}, 3.88478262903594*^9, { 3.884782685969124*^9, 3.8847827581619997`*^9}, {3.884783405216511*^9, 3.884783436681983*^9}, 3.884783773197637*^9, 3.884783853024225*^9, 3.884845241759842*^9, {3.884845296588732*^9, 3.8848453657953997`*^9}}, CellLabel-> "During evaluation of \ In[183]:=",ExpressionUUID->"04d43607-1b52-4934-b418-1eb0e30f7594"], Cell[BoxData[ TemplateBox[{ "InterpolatingFunction", "dmval", "\"Input value \\!\\(\\*RowBox[{\\\"{\\\", \\\"0.7950559526337914`\\\", \\\ \"}\\\"}]\\) lies outside the range of data in the interpolating function. \ Extrapolation will be used.\"", 2, 184, 81, 26499122525996649125, "Local"}, "MessageTemplate"]], "Message", "MSG", CellChangeTimes->{{3.88477727346978*^9, 3.8847772828622627`*^9}, { 3.884779669036487*^9, 3.884779674192841*^9}, {3.884779710854744*^9, 3.884779758610293*^9}, 3.8847799815933027`*^9, 3.884781863890913*^9, { 3.884781897325919*^9, 3.884781962745256*^9}, 3.884782059374297*^9, { 3.8847821176132803`*^9, 3.884782143681095*^9}, 3.88478262903594*^9, { 3.884782685969124*^9, 3.8847827581619997`*^9}, {3.884783405216511*^9, 3.884783436681983*^9}, 3.884783773197637*^9, 3.884783853024225*^9, 3.884845241759842*^9, {3.884845296588732*^9, 3.884845365805237*^9}}, CellLabel-> "During evaluation of \ In[183]:=",ExpressionUUID->"6f216c43-9a76-4a78-87a8-dd0c8a60b525"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV03k41NsfwPGhSdZb2Zcsw5VIZcuez5ksyVLxUzdEsibpKlIzpiR1qVu2 bNkayVKW7whFbiJbkZI9d5I1kV32Kb9z/zjPeV5/vM95zjnPobj/ae/FTSKR 0vH4b27anTjyZCnXJHJxjAO/s8CmIs3dhnMTnnkJvPnPClMWgds4CUCyC1T9 zy2vHjjxXWHC01oKxQT7Nm9aCJmTDZat4oQx9gG75LR1ej50x9i3G2Jz2za5 /mSwYHZ75119bLfzltN04xJwqszo24v9KqEhdHmtDC5dJeq1sOVemG0JriwH g7xNpnuwGX2vmfP0Sqi9lHtsJ3YvN1XzvGEVvNKOJqlgp9374rbEqAZbtVdI Ebs5W071GbsGpIv1JGSxV5+7zAYZ14KA8kq4BLYj+9+wubV6KPU/riCAHTkl bVXs3AiFlKXDZOxykpNwQOUbUAvrF/upxAJx5Z6Hk/Rm0P9fgucktrmehF9B 7zsI7j81OYwddPCYtp/he2g8FCLIxh7THT/1g9EKZUeThN5ik6r5GtrVP0KM Wep0FbbkQVW1EvZH+FQ95VOKbel8eu68cTtou0XIZGDnhH69Pr3WCeyWhKiz 2FW8PKPv87sgO1Jd6SR2Z6yydZFzN/wTJXXIDpv8yFPEv7IHxHxXvXWwPd4M Zo3T/wWm349HC4osoNtx8zapscHP3WliGDuul3L2cS8bNprIN7Vjv55w0zlt 2Afkq02WLOyYyD8H5xj9wPO8yd4Te5ttaPxgRz9s1LO2PYKdtzXaok19AMS3 7u0zwn6VUvSkmD0Am1KtardiTxVMXggwHoI3Mrkp5RQW2H702zC1NgJ13VGh cwos6BpxNTd1/gpDN7wfdGK7rtpFJL/4Ck5mZqbl2AFK+gKmtFGgv5CRYGDH XSSLJC9+g1hS2PRPedxLpSvun/0OnwPpXuNyuN8d45l0ZAJalyYa6rFH94fn TBATcFgztoCJveznq5Z0bhKCRELIR7FlqvZqTXyfgsUl9dHnsizQ0BxVsJ6f AdvPk3Tvbfg9K/trFhRnYVGCm2KIXW7e6860nwX60BVrIWyqU8ujheJZYPNW 7noqwwL78JIdzIA5WGsqU1mUxn1nqMbC5DxwbigseEuxoIImiR58WwS7myEi E2IsiGq1MaKILQHHx9iyFNtdJUw3i7oEvxWVbGVgC3aOqeemLIFwWqc7P7ab RqUUYbMMQZpOvyiiLOAddZmvYq2AmJCU3D5hFhx3yMrpu8wBpXeJ8kq/sWBX fnemWzYHTpFj5j8L4f/HLZg++JEDXpwPJ5KxC4ige1/VfsKUnv60ADZJwOLa FPsnXOjTE50SYEFuzTfHX2gdHJYYHhl8LAiRSOKJJnOhIsqiMUFmQXVLkqmb NBf6Pqvv4YrNcyP5mqYGF9rYE60khB0zc3+13ZkLKbvEXPDdwIJHb9OmJEu4 UKlIiJUsNwvehTzseniKGzXm8b4f+kWAXH9hzrOqDSjwzuWV9HkCPBKLhiI6 NqCTgu8HBucIyLMhFBzHN6AdhS3r27G1Klgpa2JkZKqxzi6YIeBAXEkU8iej iOP3ZYlJAgLMKoKbZDYiJrKsvTtKQE1enUXfZR50W9GeVNpLAI921WhkDA+i 19awWj4RYPXyeaR2Hg/KuaR08WsPAW0fnzRFdvOgUkleQ7FuAoZXYw5p625C Z475PPNpx72ty7HI+U3oloHZ7f5m3M8ueGmd40N77oTvUPyHgHYDlZt/eQii B/z33o3dJ8BNzaQ9jSaIlqMdPdnJBExIH6WURAuiEyCl/T4Jr8e5/vJLpSAS kWm9SCQQoF/Vt6AvKoRINVpxp2MJSNuf6P29TggJ1rD0yiIJ8LbeaHlk+2aU IhfxqjyYgCtF5zfe/bEFpR3kmPgfIWAJzhwInxNBp/zGZlbmiqBeXSc4bFAc 2U4G55beKoL0wSeWCw+kUI0Ev8CQTBE4SxqnJCRvQ5ajLjGFyYXwuwQ9Ot9V HjkcWvnDWaQQmOV15Z4CFHTO+sjWrREFkJntOMZ3UxE5JorlNwzng8pS3Xff ESXkMKlS+bdZPjAjX+5y81BGM5+L9/FHPYHaRjlvp97tyPI4PK9uewxn/Y4F bNbfgZRtjSnxso+B97DMC6cSVRRo98P0nX0eqCY963QT24kYBz0yvGNyYZ/8 F42f8eooKMWewl+RA2sOAdfThXYjn2KSVelANphMd2cvn92DstRvNcqKZ0Ol pzd5IUgDZY7IfrDQewRS5Hdyzds10f17qS7rXllgs+qlo9SpiUQ03bTckh8C LabB1yJOC831XJG/W5EJ344L8zbu10YFwye9b44zwa7m9wZhbh30pqs6hi3A hOhrfqH9L3XQY6lVSX+fDNh8IT1TwH8v6rB13ln3KQ1ubUgc4tqpi+L/GMp4 q5kKFo20qKNsXfTFKP7i58L70DMQq7Pzth6qJiYvdRkkg0dawGqzhT76S4Qv 4RArETRvGao2Leqj8tf5JwKsE2BZrPnSvTID1N98RiW+4x5wd1rseeFjiB6f qOM/fz0OBsYXB9zFjVCb6IXdiftjoYLpX9rVboR2BQh02Y5HQ0fkh+ncG8aI K8GzjpNwF8a2LFuZme1DndPXjVrV/4b2aYdMd5IJir3ZuFw8EQnrpHS3PsIE +eYes5Kf+guUn+aD8jlAoZfK474M3ICGprba4c0IVefb7JwTCYeRUd+RJW+E Mh7yi5acDgPS0eHEgHqEfByYNStnQmGfcwcnSZaK2pqT6sUCGbBd+G0aRZ6K hsRPzJh7M+C3ty+N8xWoKMW6coHmyIA+3VxGlRIVfZB5HTUJDLgqTOcMq1KR +bYd09xCDKh+K8/R1KWi1M5dwl9zQ2C/vt9a8yEqGtitJv13Px3Upk+mHj1C RXYs6869HXQQznEw+mJHRYf/NXcdbqTDoIhJyJwDFZWVS/fYEHQIn96yJulM RQv2iSetr9KhLufZqpcPFRV9CDv5axsdClzyU6ZPUxH/bEv9yBY6xIsyDWln qCiTT2O+lUwHr+u36Hf8qWi9g5H5dIIGPK4nVp8GUlHEDmmU9Q8NpkTtUowv UtFpoZW2PBYNuprNDRuCqegO+aLq00c0yDHYQ/9Eo6JwSrh86x0aRM0oSXuE UJGsmk7V8DUaBOdKvphg4PPyV8v9DKKBq6uQU/BVvH9qGZLypcEBMe7V9VB8 X5ezlAxcaPB/wPCWsg== "]]}, Annotation[#, "Charting`Private`Tag$1320922#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0.006192420196582143}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, ImageSize->{490.22727272727315`, Automatic}, 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->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.882353399904924*^9, 3.8823534398663683`*^9}, { 3.882353647633873*^9, 3.882353676356699*^9}, {3.882353716623851*^9, 3.8823537457144423`*^9}, 3.8824210398498096`*^9, {3.882421077045025*^9, 3.882421130976942*^9}, 3.882421498359668*^9, {3.882423516943931*^9, 3.882423544762652*^9}, 3.8824238627130337`*^9, {3.882867369847785*^9, 3.8828673785810738`*^9}, 3.882867789674388*^9, 3.882868457679789*^9, { 3.882868501901722*^9, 3.882868537046026*^9}, 3.882871597629115*^9, { 3.882871796046742*^9, 3.8828718459066563`*^9}, {3.882872047392091*^9, 3.882872060079914*^9}, 3.882872119085088*^9, 3.8828723702076797`*^9, 3.8828725321746187`*^9, 3.8828731175750513`*^9, 3.8828734590819807`*^9, 3.8828736561246853`*^9, 3.882873954433775*^9, 3.88287456216481*^9, { 3.882874637267109*^9, 3.882874666371213*^9}, 3.883105852540347*^9, { 3.8831099456410217`*^9, 3.88310997067447*^9}, 3.8831102017788877`*^9, { 3.8831104450617456`*^9, 3.8831104559385633`*^9}, 3.883110761739184*^9, 3.883468947545887*^9, 3.8834729621780567`*^9, 3.883473331608038*^9, 3.8834793142932043`*^9, 3.883479383393044*^9, 3.883479635710585*^9, 3.883553790022189*^9, 3.883553832771365*^9, {3.883553959810821*^9, 3.883553971165102*^9}, {3.883554191053564*^9, 3.883554231527503*^9}, 3.883641272608241*^9, 3.8836442336554947`*^9, 3.883644890056961*^9, 3.883645019112156*^9, 3.883645345502302*^9, {3.883645505438012*^9, 3.883645662312215*^9}, 3.883646046958832*^9, 3.8836462988537083`*^9, 3.883646449238927*^9, {3.8836465002949743`*^9, 3.8836465090191307`*^9}, 3.883646558778575*^9, 3.8836467423032207`*^9, 3.883708497991164*^9, { 3.883721760669757*^9, 3.883721778716421*^9}, {3.883721824346439*^9, 3.883721843470553*^9}, 3.883722064861602*^9, 3.883722205655966*^9, { 3.88372361563008*^9, 3.8837236224509163`*^9}, {3.883723690790511*^9, 3.883723736011222*^9}, {3.88372377710293*^9, 3.8837237852408237`*^9}, { 3.883810934040372*^9, 3.8838109437708883`*^9}, {3.8838133311891823`*^9, 3.883813339359695*^9}, 3.883813581669477*^9, 3.883813626072631*^9, 3.883814022179655*^9, {3.8838144259231567`*^9, 3.88381444549296*^9}, { 3.883816303560357*^9, 3.883816338769309*^9}, 3.88381642097686*^9, { 3.8838164893247766`*^9, 3.883816532283369*^9}, 3.883816634102497*^9, 3.8838167811442823`*^9, 3.883817132812429*^9, 3.883817196977854*^9, { 3.88381751923562*^9, 3.883817569995205*^9}, 3.8838178496095877`*^9, 3.8838180008730087`*^9, {3.8847700946825523`*^9, 3.884770096817354*^9}, 3.884771902380024*^9, {3.884771966375272*^9, 3.884772037453115*^9}, 3.884776332288706*^9, {3.8847765752300797`*^9, 3.8847765947127*^9}, { 3.8847766376655073`*^9, 3.8847766586662073`*^9}, 3.884777170998395*^9, { 3.884777253566815*^9, 3.884777283823307*^9}, {3.8847796700656223`*^9, 3.884779675167552*^9}, {3.884779711675523*^9, 3.8847797594265003`*^9}, 3.8847799825607758`*^9, 3.8847818647352333`*^9, {3.884781898109952*^9, 3.884781963599761*^9}, 3.884782060173778*^9, {3.8847821186783113`*^9, 3.884782144731091*^9}, 3.884782630148099*^9, {3.884782687079832*^9, 3.884782759292513*^9}, {3.8847834063423367`*^9, 3.8847834371848907`*^9}, 3.884783773724824*^9, 3.8847838535490103`*^9, 3.884845242229047*^9, { 3.884845297727296*^9, 3.884845365850822*^9}}, CellLabel-> "Out[184]=",ExpressionUUID->"bf174752-48c1-410c-b26b-28be42cf0f1f"] }, Open ]], Cell[BoxData["|"], "Input", CellChangeTimes->{ 3.8847766578598747`*^9},ExpressionUUID->"04292cc5-c934-4329-a9c5-\ 85b2278343df"], Cell[BoxData[ RowBox[{"(*", RowBox[{" ", RowBox[{"1", "-", RowBox[{"Dit", " ", "Cross", " ", "section", "*"}]}], " ", ")"}]}]], "Input", CellChangeTimes->{ 3.8828685894781933`*^9, {3.882868629623494*^9, 3.882868663328025*^9}, 3.882868893434067*^9, {3.883811382175132*^9, 3.8838113971152773`*^9}},ExpressionUUID->"50a3db6b-50c1-4c63-a4b6-\ e0a5ab5b7a7c"], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"q1", "[", RowBox[{"Et", ",", RowBox[{ FractionBox["thetaCM", "180"], "Pi"}]}], "]"}], ",", RowBox[{"{", RowBox[{"Et", ",", "0", ",", "50"}], "}"}], ",", RowBox[{"{", RowBox[{"thetaCM", ",", "0", ",", "180"}], " ", "}"}], ",", RowBox[{"PlotPoints", "\[Rule]", "50"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"ContourLabels", "->", "True"}]}], "]"}]], "Input", CellChangeTimes->{{3.882869907389391*^9, 3.882869920654478*^9}, { 3.882870073759598*^9, 3.882870106317532*^9}, 3.882875871368724*^9, { 3.882875931589867*^9, 3.8828759690473146`*^9}, {3.882876164781519*^9, 3.882876168127355*^9}, {3.883109980792049*^9, 3.8831099947433577`*^9}, { 3.883110327898386*^9, 3.883110328405862*^9}, {3.8831104617016497`*^9, 3.883110461779323*^9}}, CellLabel-> "In[114]:=",ExpressionUUID->"c36da682-78eb-4479-a88a-6d8ffe69fdb8"], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxknQV0FUcXx4M7BAvWQAguIcmLAyFDgkNICO4hwV2KFC9Q3D6kSPEWChRK oRQrUCgUintxl+LuRb73NvndZQYO53B+3Nl9u/MfuTN3ZrZwQo+4dind3Nx8 crq5uf41/+TeOm/ErPqPI3R2U7BX/ntRiUPSK93uLmyZO+YSLmT9R17hojWn Of9+YVzvJTy7/uPeGVt5Cxew7ldUeIHr6XoXFy5s3b+k8A9rKwX+M6a0cAnr 98oKr7xyM9fWeeWEPazf9xM+PWbP26NN/I3ncQg3tV4owHjfQOHzG7o5/wYJ W7nZO1i4Zd2dB0oNCBEuaN0gVFj/nSwKPXR2UzB66HZ3YfSA0QNGD/16L2H0 gNEDRg8YPWD0gNEDRg8YPWD00J/HIYwe+vsGCqMHjB4wesDoAet6eBp6eBp6 eBp6eBp6eBp6eBp6eBp6eBp6eBp6eBp6eBp6eBp6eBp6eBp6eBp6eBp6eBp6 eBp6eBp6eBp6eBp6eBp6eBp6eBp6eIoeI12XZSwueujspmD00O3uwugBoweM Hvr1XsLoAaMHjB4wesDoAaMHjB4wesDooT+PQxg99PcNFEYPGD1g9IDRA9br h49RP3yM+uFj1A8fo374GPXDx6gfPkb98DHqh49RP3yM+uFj1A8fo374GPXD x6gfPkb98DHqh49RP3yM+uFj1A8fo374GPXDx6gfPkb98DHqh89n/RZ66Owm z4Ueut1dGD1g9IDRQ7/eSxg9YPSA0QNGDxg9YPSA0QNGDxg99OdxGLoEGO8b KIweMHrA6AGjh+k3JNWXYKO9Cjbaq2CjvQo22qtgo70KNtqrYKO9Cjbaq2Cj vQo22qtgo70KNtqrYKO9Cjbaq2CjvQo22qtgo70KNtqrYKO9Cjbaq2CjvQo2 2qtgo70KNtor2w/rbt0oTPTQ2U3B6KHb3YXRA0YPGD30672E0QNGDxg9YPSA 0QNGDxg9YPSA0UN/HocweujvGyiMHjB6wOgBowes9x/hRv8RbvQf4Ub/EW70 H+FG/xFu9B/hRv8RbvQf4Ub/EW70H+FG/xFu9B/hRv8RbvQf4Ub/EW70H+FG /xFutFPhRv8RbvQf4Ub/EW70H+FG/xFu9B/hoscS6z2U6KGzm4LRQ7e7C6MH jB4weujXewmjB4weMHrA6AGjB4weMHrA6AGjh/48DmH00N83UBg9YPSA0QNG D1jvzyON/jzS6M8jjf480ujPI43+PNLozyON/jzS6M8jjf480ujPI43+PNLo zyON/jzS6M8jjf480ujPI43+PFL0gPX+PNLozyON/jzS6M8jjf480ujPI0WP yS8WO9+kiuihs5uC0UO3uwujB4weMHro13sJoweMHjB6wOgBoweMHjB6wOgB o4f+PA5h9NDfN1AYPWD0gNEDRg8YPUZZ/Xs10UNnNwWjh253F0YPGD1g9NCv 9xJGDxg9YPSA0QNGDxg9YPSA0QNGD/15HMLoob9voDB6wOgBoweMHjB6DAxL 4/vjleqih85uCkYP3e4ujB4wesDooV/vJYweMHrA6AGjB4weMHrA6AGjB4we +vM4hNFDf99AYfSA0QNGDxg9YPToad2opuihs5uC0UO3uwujB4weMHro13sJ oweMHjB6wOgBoweMHjB6wOgBo4f+PA5h9NDfN1AYPWD0gNEDRg8YPdoP6bgq 26TaoofObgpGD93uLoweMHrA6KFf7yWMHjB6wOgBoweMHjB6wOgBoweMHvrz OITRQ3/fQGH0gNEDRg8YPWD0aGH9TrToobObgtFDt7sLoweMHjB66Nd7CaMH jB4wesDoAaMHjB4wesDoAaOH/jwOYfTQ3zdQGD1g9IDRA0YPGD3iXMnCYkQP nd0UjB663V0YPWD0gNFDv95LGD1g9IDRA0YPGD1g9IDRA0YPGD3053EIo4f+ voHC6AGjB4weMHrA6JH0HrGih85uCkYP3e4ujB4wesDooV/vJYweMHrA6AGj B4weMHrA6AGjB4we+vM4hNFDf99AYfSA0QNGDxg9YPRYaF1XT/TQ2U3B6KHb 3YXRA0YPGD30672E0QNGDxg9YPSA0QNGDxg9YPSA0UN/HocweujvGyiMHjB6 wOgBoweMHnOt340TPXR2UzB66HZ3YfSA0QNGD/16L2H0gNEDRg8YPWD0gNED Rg8YPWD00J/HIYwe+vsGCqMHjB4wesDoAaPHTCuj6oseOrspGD10u7swesDo AaOHfr2XMHrA6AGjB4weMHrA6AGjB4weMHroz+MQRg/9fQOF0QNGDxg9YPSA 0WOqNV5vIHro7KZg9NDt7sLoAaMHjB769V7C6AGjB4weMHrA6AGjB4weMHrA 6KE/j0MYPfT3DRRGDxg9YPSA0QNGjwmuxyjUUPTQ2U3B6KHb3YXRA0YPGD30 672E0QNGDxg9YPSA0QNGDxg9YPSA0UN/HocweujvGyiMHjB6wOgBoweMHqOt +ZNGoofObgpGD93uLoweMHrA6KFf7yWMHjB6wOgBoweMHjB6wOgBoweMHvrz OITRQ3/fQGH0gNEDRg8YPWD0+No1PHxh66Gzm4LRQ7e7C6MHjB4weujXewmj B4weMHrA6AGjB4weMHrA6AGjh/48DmH00N83UBg9YPSA0QNGDxg9BlvzWY1F D53dFIweut1dGD1g9IDRQ7/eSxg9YPSA0QNGDxg9YPSA0QNGDxg99OdxCKOH /r6BwugBoweMHjB6wOjRP2MrZ8omoofObgpGD93uLoweMHrA6KFf7yWMHjB6 wOgBoweMHjB6wOgBoweMHvrzOITRQ3/fQGH0gNEDRg8YPWD06G3dqKnoobOb gtFDt7sLoweMHjB66Nd7CaMHjB4wesDoAaMHjB4wesDoAaOH/jwOYfTQ3zdQ GD1g9IDRA0YPGD26uZqvxc1ED53dFIweut1dGD1g9IDRQ7/eSxg9YPSA0QNG Dxg9YPSA0QNGDxg99OdxCKOH/r6BwugBoweMHjB6wOjR0ZrvbS566OymYPTQ 7e7C6AGjB4we+vVewugBoweMHjB6wOgBoweMHjB6wOihP49DGD309w0URg8Y PWD0gNEDRo9EK10L0UNnNwWjh253F0YPGD1g9NCv9xJGDxg9YPSA0QNGDxg9 YPSA0QNGD/15HMLoob9voDB6wOgBoweMHjB6tLJ+p6XoobObgtFDt7sLoweM HjB66Nd7CaMHjB4wesDoAaMHjB4wesDoAaOH/jwOYfTQ3zdQGD1g9IDRA0YP GD2aun62bit7PZzGbgqW9XCa3V0YPWBZD5fMsh5Ou95LWNbDJbOsh0tmWQ+X zLIeLpllPVwyy3q4ZJb1cMks6+GSWdbDac/jEJb1cNr7BgrLerhkRg9Y1sMl s6yHS2b0aGDFQ1qLHjq7KRg9dLu7MHrA6AGjh369lzB6wOgBoweMHjB6wOgB oweMHjB66M/jEEYP/X0DhdEDRg8YPWD0gNHDeu4c8aKHzm4KRg/d7i6MHjB6 wOihX+8ljB4wesDoAaMHjB4wesDoAaMHjB768ziE0UN/30Bh9IDRA0YPGD1g PT5o66Ez8cF4Iz5o6wGjB6zHB+ON+KCtB6zHB+ON+GC8ER+09YD1+KCtB6zH B+ON+GC8ER+09YD1+KCtB6zHB+ON+GC8ER+MN+KDth7We7239dDZTcHoodvd hdEDRg8YPfTrvYTRA0YPGD1g9IDRA0YPGD1g9IDRQ38ehzB66O8bKIweMHrA 6AGjB4weSe/ZRvTQ2U3B6KHb3YXRA0YPGD30672E0QNGDxg9YPSA0QNGDxg9 YPSA0UN/HocweujvGyiMHjB6wOgBoweMHtZ737b10NlNweih292F0QNGDxg9 9Ou9hNEDRg8YPWD0gNEDRg8YPWD0gNFDfx6HMHro7xsojB4wesDoAaMHjB5J v5tgrG9PED1gfX17gugBowesr29PMNa3J4gesL6+PcFY355grG9PMNa3Jxjr 2xOM9e0Jxvr2BGN9e4Kxvj1B9ID19e0Jogesr29PMNa3Jxjr2xOM9e0JooeV LydsPXR2UzB66HZ3YfSA0QNGD/16L2H0gNEDRg8YPWD0gNEDRg8YPWD00J/H IYwe+vsGCqMHjB4wesDoAaPHNCujEkUPnd0UjB663V0YPWD0gNFDv95LGD1g 9IDRA0YPGD1g9IDRA0YPGD3053EIo4f+voHC6AGjB4weMHrA6OGaXVy73dZD ZzcFo4dudxdGDxg9YPTQr/cSRg8YPWD0gNEDRg8YPWD0gNEDRg/9eRzC6KG/ b6AwesDoAaMHjB4weky01je0FT10dlMweuh2d2H0gNEDRg/9ei9h9IDRA0YP GD1g9IDRA0YPGD1g9NCfxyGMHvr7BgqjB4weMHrA6AGjRwZXeGqFrYfObgpG D93uLoweMHrA6KFf7yWMHjB6wOgBoweMHjB6wOgBoweMHvrzOITRQ3/fQGH0 gNEDRg8YPWD0GG2tN2lnry/R2E3Bsr5Es7sLowcs60uSWdaXaNd7Ccv6kmSW 9SXJLOtLklnWlySzrC9JZllfksyyviSZZX1JMsv6Eu15HMKyvkR730BhWV+S zOgBy/qSZJb1JcmMHql8f7xyc4ath85uCkYP3e4ujB4wesDooV/vJYweMHrA 6AGjB4weMHrA6AGjB4we+vM4hNFDf99AYfSA0QNGDxg9YPQYbq3/aS966Oym YPTQ7e7C6AGjB4we+vVewugBoweMHjB6wOgBoweMHjB6wOihP49DGD309w0U Rg8YPWD0gNEDdvv0z3BbD52TzyMbbuuh292F0QNGDxg99Ou9hNED1s4jG27r AWvnkQ239YC188iG23rA2nlkw2099OdxCKOH/r6BwugBowesnUc23NZDz48r yecxvI9Iyu/Xwkm/l1rBHz66/oQq0550/oaHKma9f2Zh0ptMvsNJ50WUEk7a H+8nnLQfOFB4gLVeKUS4rRV/riBsvXZYhPB8K18qC0+3CkaU8Dir/a4qPMxa n1ZNuK+1HqdG8u86VBdr/UEtscPY21gPUEeVd+HNAGHXr+S/FyjM9TDXN7bi U3Xlepjr4aTqEyTM/czri1vz+bFyPcz18GDrvYOFMzb98XJQljA1P8e1L9ul ta/3tuS3r4e5Hub6edfLzxj2xE7/hTU/VE/Swy7V97wNEeb66eun/zrngp0+ rzV+jpP0MOnHf3P/+K97bXsOazxR37Y3qvr00DqbR5RYkP32/AaSf+mt/qOh cGqrvjQS/uDKhy6Nhd+6imejJsLPXdlfuanwY1c1KdtM+K6zVRiRp7nwLVcz kbKF8BVXdXhg8wVXO3GmpfA/Lhl2tRI+5iztada0Frb2P0bHC19z3f9Pm+Nd 5S20jX1/1++ttrmZq34XSbB/z/X7s21u4CpfWROFrWIxMlGvf29s3u96vh5t hWu4mokbNu92Faxm7YQjndm16ojNO1zVuardXrkZf8z2if/X26ssSmdPo30q bth9jPbKYaQPNtqvMOP6cKM9U8b9Io32rYow++1h9nvD7DfW9J5UW5j9lpTv WR/yNmjvHSNcPbZdzejBdv2MKLy9Y4cO9n4os/6ppx5jv46z9+OY9S1oV48f vwu394eY9c13xt97fivZwOZ2hW8dyWnXL9ZnX3aV0xFhar+zPKT7pL6xXhhm vSrMekmY9Xow68Vg1ivBrJeBWa8heiavF5DynxyvhomXwsTrYOJFMPEKmPly vXzY9Y35Qpj5Kpj5EpjxOsx4UfI7ebwC4y/Duv96JYL6R72Ctfo23Kifn/h3 1E9Z35LM+Cv0FzDlj/JIeevq1LV2ZJg65mpviqcVdvlVef7KJ+xq71pUKCq8 yVkafGaUEXa9/rB+/sLrnHL96x0k7HqO2COhwmOdF2waVFHYVfzccylhV/ZV uVtZ2OUHfbUjStil7+pvqwpnd+p1tWt14XTOG+SOqin83qlOrXy1hZ85S8PQ R3VUdVcxc/IlZ/Hu93sjq92s7uQ/XXo8ux9BelfpORyTQ653ZeOm4V7CruIz 7mwJYav5dfgKd3bWjplVA4Rd7f2HJ8HCylm62y8oL1za2bwfqVVJOJOzvH33 n50/KZzF4eixSOFXzuKZenkV4QeuVmNoNeHrTv26NqghfNbZ/ywqXUv4iPN1 T7nVEf7L+f4ZTkcL/+7UO3x1jPAZ5/WbdsYKn3SWnxOr6gkfdt7vwSy7fFnt z8j6KqtVr0JVPas/qy/23U4s3L2BWpPY9EYVJ0+f9MvkTdEN1UlXP1k5zGp/ d1VppDyd5TrKaXe1V/19G8v1vzgr7Lj8TYRXOccJP6RpKrzMWXu3P7Z5ibM8 njnfzC6fzlrydE9z4dkur3tdC+FpzscuPr+l8GTnY6mxrezy7Kxmzfq0Fq7s 1LO8b7zwNmcF2PuDzRWc5b1B/jbCG535e3WKzUFOB6F7mgRhV/P330CbXfVj 7GObf3K+f+72icIu9+D78zYvdeaHX722wkWc5XXbHpsXOn+gVsV2wq58Pr3W 5u+c+dW2RHupH7RbsEvWSmXeR8Duzv/o9S63pHc1lxkaewu73Mhza0oJu3qf hqP8hJ8469t2v0BhV/dT/GKI8F7nv1PGVRB25c+roAjhWGf58utVWbia0/9p Wz1KuKLzB2d7VhV2OPPz4LNqwiWd+ZNifw3hgs72JmhRLeFczvfr1M+uL4wP YPx9mPYYpj2GzfbY7O+vlQmZuPST+pLV6n8aSH3Av4bxp6U9SvanYfxpad+S /WkYfxrGn4bxp2H8aRh/WvqXZH8axp/+tH9x+dMw/rTcP9mfhvGn5feS/elP 21eXPw3jT3/afrv8aWmfkv1pGH9a2qdkfxrGn4Z1f/pocv/8QPoP/GWdPYXx l3W7j90eJfvLenq7/8Bf1q8Pt9u7ZH9Zv5/df+Avw/jLMP4yjL+s6TnJ7l/x l2HOx4A5n0HaH8tPsesD+9PpL85a+tr1g/3S2E9a+tr1g/27jFepL/jTMOnZ X+ry0xxOxn+G8ZdJj78M4y/D+Msw/jKMvwzjL8P4y6Jnsr8s5TvZX4bxl/X8 tRl/GcZf/tSfcvnLevmw6xP+svSHyf4yjL8M4y/D+Msw/jKMvwzr/vLRCGva L6G92PX5u9RSv5jfZH7sfPJ8njnfY573Ys7nmOeNmPM72Jk/gbFTnrGbbJ7H YM7XYIcp77C+//+1jN+T8uO5tD/kD/YkXVMq7HBSfqWV9zfPKyL/YDM/yM+D VjsfZPmTadbY+Uv/Z5WL9cGWPzrvT5svWe17vaR2eXOI1Hfqt3W/Hg2E61jt M+9/W95Xn399IPnyaXt8PjhENbf6jzj5PbicsxjmqhiqGln9h92+wNjxX9EP lvH7H5lPn+5uj8+vv5vy0x83Gkh51sdzR+U5eT7yg98jP/g9GDvtH3aY+1J/ yB/qh55fWaQ8Ydfnr7PIfLQ+v51eOGleOK2UJ8of89N6feV7CDk+m+/W1jHJ ed4exu97qruW3xKU9L676gq3s/yLWGU1u/7BwtQfyi/j4U/9NVf+m9cn+SN2 /aQ8c/2n/p3retJjN8sXTHuAvweb54OY5U8/f+R5BPnNfAD5Rf0mn/X8y5Ls F2QUu9WNrQhU5yx/LlqY+kz9pv7SXtB+Ud9h0lOeyT/aQ+ofdtoT/GHaX5j2 gvJP/pJ/3I/yT/tAPYDJr6T8ePcZkx+UZ9oPOMnfyqeWWxUrq+QfjJ3yQH7B n/ozLkZfmOdHb9o/7OQv7wsn+cEh1vjmShq7vJF/tGfwt67nXhCqQlwXPrb7 G8YTlD+Y6/db/rB9HoreXtyOMMsb+U95Iz/19anekt9J6bzkeehfeV8zP+kv eV/6xxuucUxjOz+WufRpYb8vz0n7pXOWpPxskl3S6f/a7ROM/jw/9Zn+E/7U H3Y9P/WL9yU9THren/T683rK8/L71A/qV5KfXkbel/oGW+OwEaWk/SA9THrY aucGlJD353qY9LA1jutWTOKTXA+THub9iF8mtQcewkn/5hf+0cr/gsJJ+VFY 2Bo3JhYR5nlg2jOY54HpD4mf0p/BlHeY54e5v8nEX4kvEn/FDhPPJB5Levil 67b/+El81jVP2+28vzDXw/T/xG95P5j3g3k/mPeD0QdGHxh9YPSB0QdGH5jy AlPeYMorfNtlnuUjnBRX9hUmv2Dyg/gx+QHz/tRP3h/m/WHeH+b9Yd4X/4P3 hXlfmPeFeT/8D94P5v1gygNM+aH/oL20xvsqTvKD/pXywPiZ/IDJD5j3p//g /WHen3gw78v8FXoyf8X7MX+FPsxX8XwwejBfxfvCPA/zV9Q35q+o/8xXwcxX oQfzVdhh2nvmq9CL+SrsMHbmr7DDvB/zWdhh8of5LewwejHfRXqY9Kad+TDs MHozP4Ydxs58GeURJj1MeubTSA+THsYfxJ/GP6G/k3h5sr/C9aSnf4Wfu37P wy7/9M8w5RF/Ru9Ps4j+2PX+1f6+H/0n5Yf+W09vf4+O/pP6wXyh3h/b30+j /6Q9YT5Rv7+P1G/6N5j+Sffb/GR9GKz7Q/b3rrCzXky/v5dxvbew/r0SP+N7 IHb/rO0rke9JBMr4B8a/1O3un/W/zKfC5vd76H9pP8zvy9D/0r+a30Ohv6U8 M//Ke+j98WPpf8l/vX9yU3p/nd7ov9yV3n/nEkYfGH30672M/t1bGH1gyhtM eYUp7zDr+WDW88Gs59Of57H0v+QHTHtoMv0r+QOTP/p8Vi5h8gcmf2D8FZPp j8kvmPyCyS+Y/IJpT0ymvyb/YPIPJv9gyh9M+TSZ/p/yDFP+YcZXtK+MD2H6 Y/wF9IKx4x9QnmH00u3uwvTnJuNPoB+MfjB6mYz/gX4w7afJ+CfoCdOem4z/ Qn2A6e9Nxr9BX5j2w2Tid7TfJuMPoQd2/EGTSU/909lN7PgTJhMvpHxhh7HT f5hs+mvYYfM8I9Ljb5qMf8f1MOUDpjyYjD9I/2D6i8Rn8GdJDxP/JD1MeTLZ 9Dexw8R78AdID+Of6vEK2181/VfiQ6SHsRN/xQ7TPpmMv4u/hR3W93dfiSA9 jD9MeTX9Z5OJV3F/ff/za7kfjD/N9cS3uF7fn5r6M/+b+BfXm/64vp8ytfjf +NOmv078jOth6pPpvxNf43qY62HS46+Tnngc6fX9Vjk+8++J13G96e/r+4Ny SDyP9on0MHau1/ez5JD4H+lh0uv7LXJIPJD0MOlhyq8Zf6O/ZfzA/D92+kvs zO8zv834wcqGc/Z8oxa/WhMjzPwlzHw48Qbux/y3GT8w53/5Pav5KBAqTH3S /WW3z/wl8/sqpn9jfp/D9E/M7zuY/oX5/QXTHzDPKzf7d/M8bLP/Ns9fNvtr 87xfs382z5c1+2PzPFOz/9XP97wSYZ7naPav5nmWZv9pnjdo9p/meYtm/2me h4cd/8jsH1lvQP9onjdn9ofm+WHY8Z/M/o/1CvR/5nlcZv9nnreEXfu+0if9 nXk+kdm/sd6B+m+ez2L2X+b5HNj1+mSfj6D3X48/62/M8yDM/sfsL8z95PQX lBezPzD3A5vtvbm/k/YYPYgHwbSPxK+XNVj85cqf7fbL3M9Sb9CKpj0+ac+o /7SftCfaep1dNtO+cL/3Pi8vVd1t22lf8jUb3bB5iTC19q+2PwTNrCvtH89L /Iv5Gpj2k3gmTLwYprzBtMfmegTio8wvwfyea71x/gN2PM6Mj5Lf/D735/fM 9R/EZ/Tvz76P4HmIp5Ge+SX9e84e8vy0E6Sn3urnm3hLejMex/yS/n3iUpI+ qZ0qIemZv9G/1+on6ZPmT3wlPfMz+vcrAyV90vxAgKQnfkJ6mPRDk/0A0jOf Q3qY9J0sIcpLeuZ3SA+T3qrPdStJeuZzSA+T3qrH75WkZ76D9DDprXp7IlLS s7+O9DDpM1vlvIqkZ/8d6WHSp7T6y2qSnv15pIdJ/9rqH2tIevbrkR4m/UOr nNeS9PgfpIdJf8Pqr2wmPg8TX4eTykdR4bbJ7TiclP/+wmOt/AoS7mO9X6hw K+t5KgpbcuRQwtZj37b1dLf+tfVKa/knth7vLH+juvBTy3+oKWz1A3lq6/PX D+qIP0l7RnsHk5/Mv5Ce9gc293/gH1rvMTZElXVVmFd2/IfrSQ+T3ipfZ+up Xa5qkKa06GEt7H5bQvTYZnWHxUSPpHYqp+hB+we79j34lgiU/LeKaeEAyf9b Vj75S/5b/x8XLPlB//A6/9c9R6erm9TvXU5e73knRtgq71fs/iShVqv/2q2I Fq6X3F9Z/fKKkKT1Zrns9Sb83jdWuSwj7al1X7dS0l4m1bPi0h5a5eBeUWnv GD/AxO9p3+ivaI9quZ7jhwBpb6xyvNAh7UlSufOT9oL1HdtdOky119/o44Oj EeQ/6zf4fdYPUR5Zn0F/l+T/ekl/vtHybwvLeIf8YTzlWoe/KltZGf/w/Iyn 0JvyzHoNrfx1fB7BejvW67A+Jql/zS3rA5PKUR6J//C81a14U0N53r+seFIj 0SfSlU9bGkn53WG5TY1F33BX/i1tLOX/d2vc1SRpXJLLR4W6snlqE7XPcqjK qQ2ujE/bVPQJcCUb3FTK81qXvE+aih7lXAWmQzPRw7WfZeuFZupv1/3m+ivs 1nqTLxwKO+trSln1ormsR/nR9f97m0t+Yye/sVP+ilrhjRZSX137ZR6vayHl D7t1+xH5VCHL7W6pLHknFVDzrXLXUuozTP7nd71nzlaS/7OtDVStpLxj/8qq N94qt6td/NAqeXxSxNqPU+nL1tJ+wOjnbtX31qKfVe5846W+Yad+WuW0c7y0 X5auS+NF76T2Il70tu47tY34azDl3XqOA22kvFvPnSZB4pXY0dt6T5Ugelv5 MihByhN2yr+VjxsSpPxbj/04Qeqr1Z+VSZTyZxWL9olSf615hAuJarzVQfha +9vqLk6U8mPJ4tFWyk9Jl45720r56OB68RTtkscBftb+oq0V20n5tvqR/u1k vIU/Tftrjfe/tNvj3VZ+xyZlv7vdnjMeMa+nfYFpT+CcVnmpK/2Va//dC3+7 f1iz7lFQP2f7hX78HvONtIcw9U3fj/wggvFK8MqwOoHNc8j45UmL615dRnsJ 772xokDFyyXs/ftde3pkCfUVLj/wu/Q9agQIe23/8M3p58HC2VImpFLO9h9+ UfWv4cujKwk/rJJrWHpn+w/fuvXXtorO9h++PLb/u55OfxA+XbpUhaXDqgnv P3juq7MNawhv6z5xUxanvwZvcK/0qrLTH4Nf/Xsia7izPac+4V9UsdrVIOlf +rny1Yv9KBcj0IfxHmztN+ls68d4T98fnlb0y9Lj9C3vFBmM/eL5xB6693XH AEcBYz94UbF3uxe55u6TosZ5F2XEHtUnw8rfa5U1zrvwF/uE9x3i9hzzFzv+ JPYhlQ8cKTc0SOz4l9jbfFMuelZpe387/g72uH3/2//xn4pix//BvmD02yLr K9v73/GHsE8vuSrhdh57Pzz+KfaJ+1su/uKhfV4H/ir2gV2zXYndbZ/fgf+K /cusOwt+M9feP48/i73LL71bbu5p76fHv8XeNq7ovAfV7P31+Bfy/s9PnSvs aftjJzv83H/dNXfh4f0rdGswo5DwrKi2/v95l7D1PVC67MFB5YQXrxgwve5d h/CYB+fdN34bLNzPP2Jyoajywi37Lsk09lG4ff2FEVVeH7Lzf+7QwJFlf4i0 89vr1s74gVWEx/85y21mbDX7edvWjNhXvIZw77T/DXn/zs6vzstXbfU/UVvq S1J5fxkh92u3ckaBQqkk/ez7u702nMhpP3/ktT98K+cVLvKhZKZVkYWFM6/Y eK7jV0WE33zzKM2Q70oKX/MbeirseGnhA1k2uNV97ivcvIV3x29y2+X/eK3t Q6YsCxCuveibmw92Bgr/Nrnwf6/iQoT9b9xOaNTdLv/Lj48aEP/Rzm+vknWu bM9vl/8JHrdf/P1TJeG0Xde0LLE3Qjhs9dLNecva5f1943EP9m622T+m8es6 Ke3y/uJN+bLvpthc6kn6kK/P2Hpd++5+Z7/2dvkvMn1L399+tvU7G75gRduK dvn3COq6/s4oW89Tl2Nuz85h65nhtOczz+a1hA9+naLEods2p/jqiH+cv13e txT5tV2KP2xmvZDOnsKs99HtPnb5SJ431tPb5Z31Lfr1dnln/Yp+P7u8s18Q Zr+gtB/J+wVh9gvC7BeEiT9Y45rJdv/BeJT+3/JDqtv9+SLXc3awGf+K+bPU rnbtpN2/Ew+C6b/4PcbL/J7V7N+1x3/WdO10+3riLYxPYHO9BHarG9hn38/y bzKFyvib/i/JX7X7Q+ZbGY/yvjDPy3wjdvwn4i/414yvyA/z/AgY/4j+l3gM 83Ew5Y14AnYYO+stscPY8RexM18K4+/T3xJPYb4M1tdX5ZD5MX09dhV5fuz6 +1WR58euv18VeX7s+vtVkXgJdhg78RHsMHbiIdhh7MQ/sMPYiX9gh7ET78AO Yyfeoa+fuhJBfSW+oa+3ei128ovyC+P/kV/YYey8D/EEPd5jr4fGDmMnPkd9 hKkPlBfssB6vvGKsV7oSoX+POIfEI2HilbwP8UiYeCV6E4+EiVcSvyF+COvf 40st8T2Y+CC/RzwOJn5HfcNOfYOpb4y/aS+Ir9FewLQXjJcpT6yHJt4GM562 xuEN7fUh2Lk/zP1JT34QT5Pv8SQz41/Gw8x/YZfv5yQz633N9MTfSP/peQKu 9IyftXjBGzv9p+cNuNIzvqa8sN6a+B3M+NvSYWJbKb/YiefBjMdJz/Ng53k+ Pe/A9Tzm/Ykfcn+Y+zP+5/7Yuf+n5ye47m+mJ/5I+k/PV3ClZ/6A9KwPJ/2n 5y+40rdxlbMHdnrWh5MeJj37YfXx6fsI3f/2EDvxMJh4F0w8C6a/golHwcSb YOJJMPEimP4Npr2GiefAxGtg4jEw8RaYeQ78sTp3d4QXcrfH2/+M6jZj7WZ7 fF2x1vvdK4Ls8XSO47v+GDjZHj8/L1v14tI+9njhRs/lzbJ62ePj/esznel3 0B4PbH7dveHlT8e/BTvd+f6T8W71HflLnvlkfKsSDrbP/Iftz/umHrpUzbT9 9+LLfG98+cl4tWCNq94rPhmf5r07rc3FT8ajaSdWWZT9YR2jPDyQ82yYv3C4 ipcf5eNWBPsF8B9h/LFfXMWiuO2P4X/R31gy7w+U6/X9AO8j5Htwycz8Is8H 45/RPmLX17fb5yHA+L+0QzDzKfp6e2/jexnekp54B8x8i76evpRcD5Oe+AjM fAzz+cy/MN8MW/PnszyF8a+4v6xXSR4fMf9MvIX5Z5j+l+thrmc+mvTMR8P4 P+Z+Qfxb5m+JrzB/C9N/6/stUot/zPwu6ZnP1e+XWa7X99M7ZH6X9PQvMP09 zHog2i/W+8CUZ+LrMPNdxCuYn8J/Mvcf4q8zH078ivlwnV/L9Xr+Rkr+kp78 hclPrtfzN1Lyl/Tkr36/zHK9nr+Rkr+kJ39h5s+Zj6N8w5RvmPINU35hyiMs 8Y9kJr4BE8+AaT9g1iPxfvr62kiJR/A++Fcw/hjXw1xPvIH0+BMw+jMfiJ4w +W3ux9THGxklPkn+w7RzXA9zPfqQnvgXzPiQ62GuR0/SE3+E0Zd4KfrCtDfm /lDGQ+hN/IP2B2Z8yPUw11M+SE98DKa8EK+lvMCUB3P/KeMtygfxGMoHTHng epjrKR+kp3zAxJeIF9O+wLRX5v5WxnPEL5n/ID4JU/6IL9M+mPtf9fFfSjmf gfYCpnxyPcz1lFfSU15hyiPxbMbP5v5axpuUL+LdxGNhyhvxb8oT8W7G1+Z+ XMajlA/i4cRLYcZ75v5d1tfS3hAvJz4Koz/xcdp3xr+w/v3z5xIfp72H0Yd4 N/WV8TKsfx86t8S7qb8w629ZP8v6WpjyZcbLiY+T/8S36W+Jf+Mvsb4VfwnG PzLj2cSv8f+IXzO+tnTKb4+fYcb/rF9lvA0zn2rGr4lHoy/rXVkPC9MemPFs 4tcy/5Ccnt+H+T2uh7me9oX4N+M7mPLCeJ31tzDlg/g4zHie+2GnvWM8z3wD TPk14+uM97kfduq76/zOxfXs8TVMetNOPB47TPvCeJr5BJj2hHg9zHib+2Hn foy3uR/M9d6udOtsZjxO+0565hNg2nOuh7me58HO8+jnLboL8/tWXKCEzYz3 eR7S8zwwv8/18Kfnz7meBzvlkXhAqFVP7PEe6WF9/JZF6iPjb+oz8R6YeA/r 5Rmf0J8zXoIZr9D/Y9fv7yP7LRg/0d7B7BeAZX1PMrN/Dra6h8WFhKnfjD/4 fez6+NFPxg/Ep9g/wfgBvfAv0Qc7jL/JfBZ21kvB5Dv+J/4e/jD5A5M/MPkD kz8w+QOTPzD7K2DGozDjbBh/D6Y8wPhzMPslYPprmP0SMP0FzPwDTH8NMz7D P2f/A0x+4N+SHzDPg3/J88Csj8O/ozzA9K/035Qn9o9QP9nPQf/D/g3sMO0/ +zFov9mPQXvCfgqY/WuUPxg7+9Www9jZn4YdJv5HfhBP5P1ZPw2z3nO4NT9u c2Wrv7fXAxN/xI5/TP9rrjcmPfVFP0/hqMxf6OcJ2fMbevlwk/Ue1AfKA/XB ZMYLjH8ZrzC/A1N+yS/Kr8mMD2iPGV/gz8C0F+Qv7ZjJzOexvpLxBP6ivj/+ towvqC8w7Q/+Pu2PycSb8Ffx7/FnYfIXf5/8NBl/n/xlPSz5C9P+MF6g/YHx T/Dfaa9Nxp+nvLP+lfYaZjyF/87+J5Px5xlPsZ4VfwFGD9oLWV+urXe1GTv3 Jz/x38k/k4mfkZ/49+Sn6e/TXjEeYH0q/j+Mnf1wlFfaL9pn/HP8cRg7/j3+ Me0d9ZX4F/UVxk68jPylPcSfJd6DfwZjJz7EfgfmK2jvvrXyx/7+Eoyd9mGL dfsw1c/1fF3s8z+pbzD10/UrOzPZ6z0SrHbBZj0/vY3vU3tL+8J8N/P1+GP0 XzD9G/Pb1F/aT+o77SX+EvOr6A/zPsy3Mr+Bv8R8BvsFKO/m+XGs96F8s5+A +DfxKJj1QLSH7DfQz8msbJwHZM936vO36WX+jPpNf0D/Rn/E+n/2L1Ae9fmU d9J+Ml9mni9GvJ35Dtoz/CPaP/wn2jP0Zz4D/Vn/z3iC/cKMB2HGp+wHID37 ifEv2B9Af6DPd9yW/QDkL/uBYeL95DftHeWN9ovyRvvGegDmL/DPYPw35i9o r7ATD4Apf6Tn/uwnlnhN/aT9ANwPO/4/duoj+3Xpr1lvz3ic/bm0dzDtHevt WV/A/fD/uB/tobmfV28vbxvr9V/LfmDmo5ivQG/mMygfMOVDX8+f+bP9vjD1 hfkJ7m/6q8xXcD/8V/pH5h/ob5m/oH+G6c+ZvyA97T39N/MF+N+0Z/SXpn9m +le015RP03+hvvI8pn9AeSc9/Svx3RMBE56sD7LXk7O+jnhu0u8eiijq6PvC Fe99+HpvSM1HKcWelG9uCnvJzL3+V61UXrEntcceYr+VZVjUl92KiD2p/fMW +9aZVStV3VNa7Pet+l5a7H9nHf3FhGz+Yr9q5Zef2DfG3Znz7PdAsVv53iNQ 7Au+rZOnRcdQsW9MXpeIfeK5NTN256qov9/eCmLvUzBnDp+dEWK36smXEWJ3 +P++d/+GymK3is3UymIvfaJr2o8To8S+ziqPUWLP37dg1YDEqmK3ykHFqmLP lufoyA5h1cVu1dcc1cWecfPXf36XrabYZ7j0vlND7CmaB6Q4erOW2K168Uct sT99dyMi9dY6YrfGSzPt70kSb6f/hfX5mLTGebqe0j4RP9fP0y0u8RTi48yv M/8BMz+jrxcMtP3H5HEH/ir9O+Nh9hOQjv6c8Qn7CWg/WU8Cm+v/WD8Cs36X 8R/7dRl/MF6DiT8xH8X4Cyb+Q3uGvwbjD9Df0F5Y7d64QFlfy/Oxvx7mvHSe l/O1aR/xF2DiKcRX8A9g/Anaf/pXmP4Y/4zxAM8P09+Z4wHW01H+YMof8/uU F9bH4X/ClDfm+8kP8zwL/TymoxHM9+OP4u8zPwDTfzLfTnyM9WX0XzD9D/PZ +Hv0B8xnwMxPsF+X9dOsl+b98bdg4k3UT85rgfG/6M/wp2Dz/BbsxBuJL+Ef oz9snt+CnfpHf0X94PwUGH+I+s54D+b8FMYl2PFv2Q+J/0v8CGa8yfgdO/PH xJeon5Q/vb7Gi/+MnfigWT45T4zxEOtDKX+UJ/wt/byt57K/kfaV8Rflm/EV /ifxN/w/3b+7LeUb/wt/DX8C/wl/A39JO0/K+Yfyz3or5oNpr5kvxh/Cv8aO f63Pn3mJHX9GXx+US9pr/CXOe+D3sfP72Pl97Pw+dn4fO7+PnfKGnflq7JQn 7MwXYae8YGe8hZ32CzvlBTvjMez4k9jx/7Gjv/5+j4316rcjWJ/B+BI740vs 5B/9G/mHf8vz07/x/LRntCf0b8xv6+sPHkfo52Helv3t5C/jUfKX+Dvlk/pG +aT9pz/lPCLGC9Qv1s8ynmD+l/qAnfEEdnM8wflzjA9o77keO9dj53rOM+J6 4ptcj53rTTvjE+yMT7AzP4+d+CJ25uexE+/Tz9t5L/tZ2a+n71d9GaGfX+Ih 81dJ9TuXsT81l3E+j7ekT2qXChv7UQsb56GUkvRJ6+9KGvtPSxrn+fhJ+qLJ 7Zy+39TPOF8lUNInxX8CjP2lAcb5PyGS/j+rvNrfl4f181oqSPqkemF/fx7W zwuKkPTW92t3VbK/353M+vkvlSW91S6GVtb334ba57mw3pr0Sf2RvV8WJj3t DektP/yG/f1pmPSs1ya9VQG32N+nhknPem7SB1vzSTUkPUx6/HXSW/5Sh1qS HiY983Gkt9qv8DqSHmY9NOWb8VNS+Xsj4+db3sExC+/llPFV0n6t3DL+qjGn zZJFdQuLPamZKyz2goVLzu/1Y0mxW81x5VJi/6rBq9qF3fzEbrXD0fb4uN3s ZvvGrQoQe4w1nxEg9toXtlV72iRE7FY7ujRE7BW8Cu9ulqaC2K1+IM4eHxdu O6ryrrWVxG6V/w+VxJ76ZJ/LuX0r6/MDDe3x8bu+xQrWSmOPj7+05tft8fHz PKdbDD1fRezW+oEU9vj4/uax361bW03slp91pprYrzYvf+7WmBpit74v9LM9 Pj75/l7eAq3s8bEVXxplj48PLpzfOCbQHh9b86HN6kh/Qv/Ffkjmz2HWv9P/ sf4Af4H4P/6XGV9nfh//gPgd/hjxN+IJxMfoj4lv0X8TL2K8YZ7vCTPe4DwC xluczwbL+XjJ4xHen/dlfhj/g/lf+jPmc2Hme/EHsMOMN5gv0853+cKhz38V Dvhs/RrzscSj2M8FMx5FH+ww4wlZf5Acj4IZLxCfgNGP9Wkw4wPyB/8bvfA3 0Jf+m/Eo+5nRg3gI8Q39/HqbyS/iEdyP8RfM/jjZH5E8Pse/Yrykf//R9rd4 P8abjI9g/DPGM/hn+B/MD8P4a/gj+nkvOWS+Fsa/Ih6Af8XzUp7Zr7LFyn97 v7TJ5n5qyjv3g1n/xHoBxiP4y5RH/GXGA/jLlA/8ZeajaW+o/7q/7C7zN5QX 5o/x15m/oX1gPhl/n/E55Y/6xHkmrIfAv2e+gfrO+lXGH8w3UL6J71A/iT+T P5Q/WX+VHP+gPjFe537EG3he/HXeH/+X+TzGCzDzI7S/PD/jA9LDpGe8QHrm w/T4e355P/Kb9oh4EOlh0hMfIj3zYaSHSc/8Gel5P+a/YOI9rP8x4z3Mh8HM hzH/wHwB+UE8SN/fYI+n9PYsszLj5ejFfBjtHeMf4j0w4y3pP5LHW/hrrFuC zfFJUruYR+njFXs8ktQ+FjHuZ48/kuLJpYXN8UZSPNgeT5jji0zJOunjH5ut 92wUqvTntccPVvwjZUVhc7xgTQOssccD5vggSV/b/zfHA8et/I4y8sNma96v me3fm/6+FZ/2qy5s+vfrrfpfU9j056244AXbXzf990VW+bb9c/x14gvkN+0T TPtk7m/Tv0/nLUx/z3wT7bv+/T2bWb+KP0d9IH+Id8K0N8zHMD/OfD1Mf0N/ TH9Fe0z/xPwh5UX/vm2wzJfSv8DEG+iP6V9g4g34EzwfzPMxX0v/AhMf4Pdo T2H2U9AeED+Had/4PdZTMH+M/0J/jL9trWO+GSz9L/qgP/OjpGd+ifM00N88 r9E8n5Hr6a/M8xRZP0F/xHoD9mOjJ+e7oCfrpU0m//FXrPNnN9jM/fT9sz4y P2yWf/xC5ssp75Rf4l+055RX4jc8D/nJ7xOPw05+Yae/p7yQf/gj1EfKC/nJ /B7+DuVFvjea3P9RX2mf9fNdfMQ/Nfer6vXnsTDlA/+a/KM+8bwwz4v/Rv9L /cI/gilf5veDqL/0v+bvU3/Rz/w96i/9Pffn+/F3nOnW/VVX2HU+0bPoWGHX eDtLmJ3e1S6UKBon7KoPlbPVF3bt/2v+1mbXeLvfzQbK0/m4UU52xRPHHm0o 7Kr/25Y1lvSu+nLpf02EKzlf6/XgpsKu8WOOjs2EA52vVbZ+c2HXeLF6pRbC pZ353KZUS2FX/RuUq5WwlzMXZ3602bV+cc3d1sKu573hHK/B6Zz52OuKza5x y4eGbYRTuGIhB2x29X/5KicIu+b7lm2w2aVbQNlEYVex3LHYZtd8ZXSetsKP nKXs3ESbXcWsQ8p2tp7OYvK8v82u9YZfP7DZqiWJ7VWptpsGRETZ3+87nyXu 8so39vf30lXomWONe0mJ15Pu3MQtp5dXd6h9reJf/l0/p7Ef29l+3Bs5Ze8z X5mfT4wfF9fhKx/VZM2Wgv81svc/UL8Od/CJL9DH/h7Hpaon51Wc6JB46YFl 7dfsneqQ+p523LJfLw5xqL+Hex+u4WaPf2mPDsxxezGmb3lpf443uh19uESE /G6Z5qWjJ6Wyvy9Xesxvmd03RcrvT3k3Nf2rW/b6vAkN7yy/lsP+nty8TJmf DKhgf6+tcZdGz165299ry/T0wZfH50eqvDtmdu08Ip3SzwdKr8ZNSD8gvlu0 3C+iaZE0q3ZGSzxrXdzhl2s86kp+jnhZrv7AfjGSnwfSZlr2+7EYaT96BbU/ UuhH+/tnY/cGnz98Jlbev1tLz1qvl9rr4xdnTrh2cUY9Nb7Z8NhFIz7K+T28 f70Dm6pfCLW/PzZk+q2CzwY1kPb6+YygfWUaNZTnq5PzxCv/+o3U/PDjleP/ tr8vwni274sRq37N01iFnVpa+u/spWX8RPwq25HzHj+9a6xmNDsWE7TS/r4I 77PySt40e7I3VbfHPqt7qsV92e+Ifntbj/zpqzXNJD+9nw8Ymsethbpaa3Fo mzK5Pvs+1vFVtXc+G9ZCTcw8KGb7W/t7H0NuVl5atKi9/o7xctbOPW62XdhS ylfrH+rtid3XUoX0TH2vcUCQxJ+fHfHe+jjIjjcdiag1KM/g0jLe2rLyQ+p/ egd/9r2NLi2GJt7r10aljq1ec8Cfn39vY2O6tulK9mmjBnQYuNMz/pqsr+P9 px2Zn2nNrAQ1pNS6KlP2299vmjf5SYexM8vJ+OqNY9gR3yx2POvXxve+aP5j 2s++r9ElZl+5E9GJaqtvxPSIonZ8i/JQfHT1/EsfJaoOP1WIuf63/b2lQLdr dyuG2PGsjumKl75eLqvEp64tHd2gawE7nrU2xblp3avZ8aszA9NFr69qr6cb dNXPLVOcHb+S/U4XVu0/HNtOHVlfbHL5Znb86urgvzPma23Hqx78dP6PDfEh sn+kvPfeYjH+pdXrmttiqjzPr6rXDnk8r05Jlflau1IXmhVTM+I2pZ7fNJd6 cH3p3WWxDnV1Vzr3M4Xyqjff9Hx1NoNDfajSIdWSvwqobKl+6X5uqb8qlmH2 x8YtglSP3I92fl3IoYoOHHl+vp+/2pbuUrefczv900I78xZ9VERt/WHaw3R7 o1TdxG1jO70upt70Xjnj9V9R6vvzCZXyzHgfUXzG7z9szBitRnr+fTN9WS+V Yk5E8KXcMepPrwsR1xuVVpnGV612pFesmjTjh1VpWjrUoCJei9M4+/NFXz7P +O2lnOp67Zip9dwaqvqhjkoX83mpU30fbxzwuKHaNfV/aQfU81OVU1yp9XR9 U/VoW8nrSwPSqx5h91/tGtVc5QrMvnrL3ULq5Opg91dFWqmB82v/NyShtPo5 ZG+1cZ3bqIXNnxU64ix/X53ekXDVWV4PjznWt8//yqk2LdcunlstUbXx+6ZD zaohavvI9ntvTWurpj2OXj8oyk9NGDU+f7687VSa1dvO/VIvRH3T+P7+9Fnb Ka9Lk35p4tSrboajbweOaaf+GTxj6EinXqnTzolu/rGdetqg5tHENiHqZcqM I3b0ba/+Pf93UM2iYcpz8auK6S9VUV+sqVCgtleYur0nS9Wuv1dTzzbOydWw QJhq+seaKZPn1lCewdNP58zt7O/Wps2QZnAtNfj1tp3ps4SpdSVDl/waX0fV jTq/qVPKMOXTv0DRtLXqqsKll/zX6U6o8ugVUHvgkxjVMj5l8b03QlXqiS8L 7CsdqxLzf9/6bMYwtankxqIxD2qrKZUOxJ99HKpKVd/YcaVfjLoeUjHXBJ8w FTtxdI/qx1KpbJ6nlo92ct98tZr/2zS9unw/71c9nRy28cHEPbPzOv2Sttnb Oznt9UzxMVfyq4atWi0Kd/LOt/tL7vm+iFIds6f0cfKKvrubDdpfVF3ZvaTz k7JhauiHId16vy2teh/rHHzOybMH7Ow2pFhZ1fZMDs/xTk5b5IujPiX91eOE kH1dnNzh7g/x83f4q5O/p6uRxsmj2zcusOl4oJrxqkrey2XC1Pt3xWdd6x6k NlwMX9zayXMb11IHB4eqLaPvzPVz8sFRB+vP9QxTRz8GHJpR2ulPrCkypVnx iurGDwHLmju5RZ9pHU4erKgK+v7kvrBUmCqw4FC7ukciVMCuux7NnFwqQ/kj cZWU6jm9+OV+JZ3+2R8rau/5vbJ6eu7cySJO9qzxbt0Mj0iVte7gPr0CwtSc gafaNU77b4RnxH87hzvf/+uzuyPcgrOrI/3fejdz8oYKnf749mYhtfTenb/z O9mt/+9pH9UsoWa2d9Tc6Xy/NR9/H9RmUTnll67vtNpOHpNlQcuM/znUqWIJ hzY43ydfQpk/By4NVtW6Bfl+dD7/q9pFc/SNKa+2Pq2wqZCTz1Zp3vL263A1 xzH1VHbn87+YsaHc5aNK/R3/7PTBEmFqa9+Rx+//EKkOtjs86Ufn76f+MeeZ udHvI0aEd9o+xcnph9X9NkcaD1X0VKXvWjs584gKddo291YvGv+cy8PJjese /bbK+lLqY5GDw9c6n+9d2YOVZ472U8Uicoz0dXKJtBVrZAoIVBvbp7o90fm8 WzNmXj/qcoiqcGxwz7+cz+f9pvvLFBMrqBrZU44+4Xy+kHuNfxgZGqGqFex0 aI0zP3vVfqi+6V1ZTZl4enSs83kvVe+x70CNKPWw0N0Fy4uFqVtvnufzcK1P 2ZWz8rIiYarj8SJe7V5UU543233rV9iZf4czldhyoIbKdPj5jZE+9nmrIblr 1I73sc9bLfSkcr6iPvZ5qw+qjXp1qKx93uq8He/vNi9rn7eaMCkq5EAZ+7zV kPr5A/KWsc9bLXb+aoZKpe3zVseGTGoTXMo+b/XnMZdPv/7kvNULh/5+/9Om EFW5yo1SE73t709snTRw+pfl4pzlYOvzvdcD1ZVJwUVyPbK/L5T5zmpvj3TO 8ee6doW3hpVR363ZN7B/qucRy5vePF6yQBm1fcCDtsfypVFZvN4W83oepFbv ObKi59h3EfO2ft+z/Z0gdfPvxEm/LcutWuXcuav17SAVfG/e2ZeDPdTFAdOi HQ1KqQez/l37ZENhFfbheKuHJ53+aPaAygdmF1ZVeg268/uhILX3j8eNCzQu ol7n/rvNIa8SanrUkXHNB5dUlfuNnpRtY5AqM/14sQn5S6rCB4N371nuqer2 z+bXPtFf9WxTo1VoXGE1qmvJ9S8H+ansA4ocKNm2sDo2d3+jLn38VPP2E4eV v+etcn97c+j41r5qzZp7Zx+dCFTHnucOipwUovyPbi/9YUWgiq6473imA6Hq XqbDGd7/6a8qH7zW+OGCyupq/xvLltZ/F5Gu1o7h35+LVLeerToT/jylKhmf P2fii0jV4YuKflvnp1Fr6vwv49RUUSpi04qjkY8yqenzUzTtVzRKTV5Y61qB L7Io7+ztnxcu7bSf25U5sn4OlTA5aseH6CjVMeWT3s8KeajsP/nsHtw9Sq3+ plPE4ef51OSfIifVnRClit38u0PTE55q58x3ZXd/H6Uu/5Auy9FLXqrX+KxB TzdEqUUdLpYclKuUCvL4b1/kqij1IOuBUQ2jneOV9ONjho2IUtnV3Bl9Jvio Y2tLV6pVyVne03+T/+5yH/W8Rq7FA8Oi1JzfPBYdUr6qZ7V5//z6JFLtr/Ci 38YsFyKqn3g+ufqcOur+3J5FDt17HlHL40juJ5fqqAWlHi/6Jk9O1T24+Lxb b6PV3NH3J7yM8VDjZ3/8Z1GluqptueIlqk3wUN9v7b2gc1RdtcDjj1K/vM+n 1k1p/efYiXVVuHvKTOXOF1HDwsq/WbopRk3+s+/cJ+WLqbBUl3deeRmjGmZ4 tyXH1GIqww+vPx5PGavGzt68/HFUCVVusnflfaVi1a2H7dy/T19OVfzpUrZB +2NV3J6/Ejd97av8Mm9rfPVhrNrwekpdv42+6tCrjItOPYtV6Wv2T9dnnZ+a dvR4yf951lOz16/vvv+nANWkRw+/4PX1VPDUr8cdzxSoFqWLv9FoTz3VflFY x9Q1QlT3+S3m/OaIU3O+utTtvxvnIlR3jz+7nqivxrxtcSlHisxqXpmgZX3n NFANAn5st/lqZnUn2PfB+UUN1NmnezKenp5dLbwy/ptapxuo0F0PN/W7m0+9 d/zmP6RXQzXgzyWFXpzKr3pful4wbmRDtbZetZ7jLnqqOblrX777R0N17uak LSvii6i1tzLtK/N1I5UisGWuVO+LqwavF+RbE9BYlTo55nji0hKq7c/rUu5o 1Fhd+jB64aIsZVTGUnUun/+iiUpx45vFZ9aWUYcD/Ocvq9pEBZ3P/7HkAF+V 79i9+Z4NmqqF32/uE/LubcR/KzINnP6smVrgPr/r/pyp1LAs17b/E95c7Vv6 17SIOx6qZcNU5fOeaOH063f8MvxMgCp8oXPXHW9aKPeMF5deTyioGt+bfOXk zZaqdPHXy88/D1Svm/SrV+T3VqrcsIABbdYFqWEem0b5+serD8Hv/8h8LEj9 t3HWDu/m8cprVXDa1FmCVckc/bf9+lu8ujn7X0ezFaVUvlvHWvb2baNicv4Q 1uvPYPVz1dRLo8onqPqxld938/JR3xUY+jjN0AT1ZGmTAge6+KjAfwdn/3FJ glpf7fbUjBeDVY+qD7/cNylB/bGy9zu368Eqzd2080stTlDl//JJKOQsL+eb h/0v3YsEdb3I8D6xH4OVI9uW2DcZEtWyLfXGr3mRStXaXO9+3yGJKt77rHe7 uqlVgefbLyZ8k6hGdFg7LzpPiMpya8W5LV8mqsIdjh+YN8RX3d19d1atJ4kq 689nW2ea5Ku2Rbc6V/ZDosrVrs/2a2VCVI95TQ6nvpqoik86+OzBnMxq6ppO JWZ1b6v2VB6eO/apr0qs8Ne5xy3aqrrzNj39pX92leGbi43+/K2dWhNQsO7F 1dlV70Xdaw693k6NqLKvqMfD7OpLt9a+i0Pbq5PduvjPfZVdtX/6+7o/Ytur 0LAKQ7csC1ZZ3rXI1903Tg3qX21Ns93BqvaMGSN2+dvfe4pIc8GnbKY4VXLr 484V0oeorMcyZswVaM+XDm4xdPWQgDhVIHLM151eBMk8xo3dP1VI9ThI+jvm 1weNDT2fLjazjM/KngtfXfErD5VhT7VlflNLS7yI+dVV2X9JE33ZS3X8cPDv 15fs8yqIP3RsnqfLsfVF1bSFsZUKly4l42bWA5daX3LYlnklVD/3Vd/+uNM+ 34Lxc/SCfPm+fFVKlezZOeO8acVlPpP1xwsmDtq24or93aVu37/4MKSzQ9av XqlUsNO0a36q2tb56RYHFZZ4Bf1jwukvam8p56/S/FtjathX9vkTxBf9D3QO eLovWPUfX3DV2uBAiTdFda3bodM/AdJ/E6840eLqvm2FwlXVzKFTPFoFSPyp xu5LLZb86ZD+nfn8P6ePfLW/tVI5fsz4dtKuz8+ruHfOJ2hiXKTKXfPG6vNP /SVe1etqmXFeh7NLfIrxfb+pmeu2jrfPoyjnyLjyv+H2+ROHP278feY8+7yJ YtU7LG24zj7/oeK9g9ce/Gqf99Cuxw/5M8yIkvmWzWPc1t1sHaVuPdi3588K PvL7jMendNtZ+tHeOvb5ACdmX03sV0e550hVYVyqWRHEq2R9dOdBa3Z1rat6 /K/DsrrueWS9Lfqv73rgsFeeWFXUc0iFDuHFZf0Az7s6YEdIVDV7fYDHvA4r qmWqpxyrQipnzeIn89Grlx8furdxqDpaL1e7H5z9gd+b0BE1Otvfq+d5c6zz OZB2S321NX38lvGvfpXv0zK/MmBQ9TrDdzZQHRaMKr7yfhY5f4v8rThwxJ5z Sxuq4F2dz/+5uYCsR/DLd6y5T7MiMt//25fT+/+eppTy6v+mVp3vG6sUeX6P PV3eV9YL+LZ53uaHW36q4oc+ped7NlOZG037udizoxHz56dY+LhtM5UyON/C Kv/5qy9Xbzxw7m0zmb8qPzN9u7N5m6st03skfgizv8/evty5hzfTZFUF5m2u ffhMc/Vb74fvY1451L7ZF1KEPmyusoc3CCr+S3a1O2TC9a2lWqi5Bct6zc5a UNYjrOwetf38xMJq97Yd54etaqUizp8q032T/b1z6sv3bX4p8nR5K1V76dlj U/cVUdvj04e+G95aVR48/fGcG8WUb9tle2Mc8Srtgy+qnj5XQiXm9vm346p4 Fda4zerTj+zvk9Me1b9TdOHksfEq/NjFiFdu9vfJaX+m/zY39lSRNmpY0YwL Mzr9o/5F/2lbcGsbFbFmc0KOrGXV1iyDbldMm6CeR74Jy/3v8Yj6b8bkS10x QfRenPdegVn5ElTPWX0aXT31m+zv3H9vwMvgw/Z5INuPdUn1sv5/ES83rtjw 8I39vfHsMcV+zLI5QWUP2zgg6on9vXDiLY3/zVmv6vUE9Xrmf/+bXck+P2Tr nJQhH05m/Oz73LVjr3X6rpv9vdZVN5+1uuzeVvXKEDHy6jH7/JAWv/kNWPXR Pi9kUIscZb++FKp+Pnb7/C+dYlW+qN8atdhmf391dN7z23otCFXnYzPn82tY T7XIWbfQjZ9DVZYZpf95XKqeWpM715FKs4JUX/Ws6KUscWrKiX92bL4doorl ThGaJmec8o/ePz31kVA19XiFNfd+jVV/rdt03sM/WLU6+7TAzk++T32jQ4rc RcrEqbP521e94Pj8+wcXF95f1etqPfXj1mU78uUMVTUOOq63+VBPZexx+/7I BZeM71NfiRj9q9fQca0dsp9ozMn80buiotXlU8/K/vjeS/aTEU/tXO14rfI1 Y1SOhEbhpaqV+Sy+2+90lftjJseqU08q1vqnjeOz+G6KkT9MLjzRXn8/Zmlc 4fqv7e9T9z3SfFL3vA3UwUaHN+Senlv2hxHv/TXzprJTfRuqDL+fGfF+g9dn 8d8mxZr9fLSYfV7GudyD2t5Ya3+f+sz+tR+uXbe/T5292KLLjb5prB5ndniv Sf3596p/yzMk569/2N+rnpOz46/nhjVRI7vniZ78tMxn36/uOTb3svF7mqgz +S7PbNLg8+9VX3qVY0/GIfZ+pzH+qy8O/rKZul92WEyvt/b6xNFv7gWu/J/9 /Wr2Ox3pm6bG3MvNVPWLjV/t3J9e9j9Rvjde6Tu8zy57P9SC8VWz3G7QXOXx GZPLv4D9fev/Nv581m+2/X1r9LnbcP7daf80V+X2nv47V6fPv3cdmaXSV2Uj 7PVUBd7MrnwuQ0vVt70j/MKaPJ9979rtysgCV+Ps710/950y6kqmlqrzzk4H Zvf3kvat74SDxSr0/vz71jsfftzT61UrtdP3a8/YI4Vl/eTuCRdXf+1uf+9a zhO+nHNOg6b2967/3bBkY6mdrdWB3UFrEyra37/O7LvxjHcD+/vXlA/3aj6l 7+Wx9wOmr5MvbatNrVWpbnePf9/p8+9jH5wX1Deofrxa6PvL7ftN7O9lD2iR uf2/te3vZeOP7e29eZrHdPv72aMatY2MOxOvonv2ahFUzv6e9u5OsV+lL1bm s+9lPy3/dbcyJ53t8bN73h8mfP697OpRrRZXamSfR7Lw5vs3M8ITVHC5uveH NLDPIwmu8vTg637297Mvbs756nTgK/l+NvUxdFfC9ImXE9Qp93or4vq8N/aL pVap5m97cmVMokp1qHqXLx/Y38/+37JyVVuds7+fvaH4lOvXp2aT80gyLdx0 1KuR/X3smlXHFK98P1R91/fk6nuffP96zPKQOQPexKrEhkM6jncLU9MXfekx dUJdderSxJU5XoSqj2mX5PPYXVe+x9Ji58/dB5aKU30rrV5bOU2Yuhnhd373 mWi1f1CV7N6niqnpJ8b6li5TRjV+lnbzptpOfzfHRLeMVUqr43cfzonyCFQN C95eoypUVAeyX9z39RcB6rQj5K8B6ZXqF1Wz+9dX/NQNv1Ujh9WOVHdnnfeL dwSrPe0Hej1yts/fz+tSqFKXYNWge9b8/qXj1I/Xy20s5vz90q1enL1/KVql GtX1buhd137LmnF7zseo8wXz5rq0L1TFzDvk/dPBWFXs/PGH+9KFqYHrCuco 1itapc7WcFcr5/VXx2ZZ0uR4tCr1v/b5W6QME//N80j60tvPllY//7KkavOP 7qpB1KWhHb51jifyhmecuji3yjxq5dkU3YqqCZeflBvTx0d1n5Lv1P3JQepi p0dFEuLKqQIf55TsMzhIbb0Sem9fnJ9K2LNGPejrrrK7fxfyZLBDhYx/uGtp TA71z9hMKz84/f1LMRfehg8OVLNWZS316n2Y2rqo/wX/xQGqUdFjXwRHVlJf xHb4Pt1Yhyoz4OftnU8opx8Uuy5/Dz+VLn+g79Qpkapj/p0PS44PVbk3PEnb Y2g9NferzvNPpw6V9ax+pxpUSPHTrIilD8o32VbDoeqnfLx96bNHEVnaLs0T 3tuhfooYM2xCmysRHwv415nn7K/ih1wf/7hDCpW9Q3hNj2LR6rr/svG9t6dS 19O3HJgiPFp1Lnhrc4/G6ZUjU8m7h7pEqx0zbq/Y2d1LFax9smuawjFq08Tp eQYV81ZfVF44s3XXGLW8dtCgad0LqxaV3m3IHB2jqiakLdp/eWlVcsmTNiW+ ilUpzo/N5Ne0rOrY6M7NMYtj1cPFnQp+XFhGDer4dFLzqbGqzKtMazc429sU GW7Wbejs7zI0e1XZPShABQTOD/1mXj3lkbL7qROpA1S5kBZ3hk6vpx4V3F/j 5ZxnEW4d15TySNNAvXw++HrtEy8icrQMmnElSwP1bFa9PzYEuKnFnebuPRnS QP2bYn2zJb/kUsGTv67jma2hWr/8n9ATe/KoqOk5unWt0VDtu/Y6z5uLHupd jdLvu4U0VOfnJJYa6XzfLb/mXNfwQ0PVJmWjjXfvFFarThXrsr5SI5WvfNsS Yb8XVo13Hur8e3AjtefWniZdjjv7S/cDb6/+1Uh9/KVk7+cli6mVT2+9+e6f RqpToVanDlZyjg9OXe6eKktj1frtb1ebPiqphseU+DVhQWNV0LNi/Y6tS6tv fHMuPvO0sfq3xMKwr9+VVeWXDb30/LsmqtMUn/pHvvJRB9avPJG4vYn6zn9w jROVyqlM7ZutTPWyiepeY2aqe87xxfhdPatNdfaXj+Mz5rjyw6GIBY08++9u 00xVSXfj0NNmjyLcBqZeGv1TMzUs5Ypml/r4qyWnd22YN66ZmnZr1YxH36ZX KX+Ju+47vrn6t9fW8hUruqsj3Ue0a/6+ufrrzaNRo5zlOuJwxyOLezVXS/8p sWhCXC71/vi5/fmGtFAnV5682qZLgKoccmvR+Z4t1Mf+8/oV/TKfWnq09tnt ZVqqgJtdntf6M596Xato4rFgZ//1slFWj6cFVLmq6zvFjGmp5naYMHZ4pUC1 aWbx61nGtVTLE9XL8wleatvaIxWHVW+lplTa6V9nfqBaMqGj5+mCrVTB9m/z thgaqN60GHVs2P2Wqvjqo9Fha7xVhYO3rjzK1VrdyJbVEVQ1SB3IeOr8/Zat VbYnN2efbB+k5u7e73dieWs1ttjd5kPOF1WdW/Wpc/yxM336D0fHOet3xicr j4xMFa9avqxxdsSN4irgf7t61Oger+ZnKlO1wt6S6uOGihf/uh+vnuTxOnhm eGnl5ujyZMSXbVT5oBze553+ZcZhOS++6d1G+Y3I3uNchrJq5tMVHf+XOkFV bTT51xzzg1W/pVdHjTnVRr1sdndRy2nBKk27sErnf2+jKs7dl29Y2TsRG+ss i3s1IEGdzXkk4/M/yyq/sw0deeonqGz3lpYNLvw8Yle1xb2DNiWoAX+9Gbcv 4EnEv03+9i20MEH1vxzdOF3uFKrN3k25oiolqh4Tv13Sa1Y5tXl/h7iGtRLV 7n3xVRvFpFNvx1wpteZIojqWseEFlc9XvR03uPnqJYmq27/dXq7I6aseP7vY dfWCRFV3yb6afXJnVENO/zqrlmdbNfLbQ8ULhmRQw2u/WHU3VVvls2KW3/YT WdXASxdveexuq/Y9P11wVMZsqlbNhMvND7VVa0JrZf2ppbv67bz7guCC7VTB jkdiOlX3U3f+6pniZNF2qk1xnyUv2vipme3Obuo+uZ1acafCrd7O/iznvDMD Oja390+Eb2p5079AnDrs55NlsI+9frBwm/J3yj0KVePu703xrnGMupBl7ZOs D0PVjGxp3/83OkY9bT8tcd3JUFX0Qu01338XK+M/n6bH0wx9XE+NHNl13ssD 9v79uiVjzzd8GqrWDTyRfWCWGFX/56etNz1ztreLp2bZfqOuOpNYa2+qkSFq zboa+dP7xKmj//1ZvfPUEOVzN3jiidL2+sURqTJtPVXEPn8wZGCH1fNqN1NT H1f/2qNYmCqfvt6hnI1yqAYJPxc8VzRM7X2UteXVkV7q2Q8pl33l5M6N1a9b L5RQvf6cdP1pkTD19tzOYvOCfNWmOsd/jHTya3/3tKp6gJrTpei3bb3D1P8i C/VY/yxYjb465kJc4TB1enCGBWUWlVde/ZYcSOMVpv4K6fxuaZ1Kynu1v+pT MEw13/53xmnvlHI8nrJn0hdhqvjDsvVOHI9U36efVS8qf5g6MLVTdJ4VVdTE vimjBuUJU9uGL13ealg1tSD6cWzOXGHq5Niv6q5sWEO1vDil17lsYer6pX+m /Femllp/JapLo4xhqsAlxyXPbHXUik5T4r919sflhrfqXyNlHTXQt9uqP66G qg4nTmfOER2r3oys9236HUFqzvpxeZ47x28vzkbt/OtmkKr8/dWo3fni1Lkp Eas8nOPFzTV8L83oEquWbfh3xrQz9vdWf+59xornjp6Vc2ahlBnVq95drPht hundHmb8pYDqsKaAFa99P3Jn6KhyxVT4uf5WfPZlW+9XL0eWVSHdqlnx2EuF 5rwtet9fTUvf0Iq/fj3pzrVfZgapHW3eWPHWO2NuHppYKUwF7axsxVfP7ezd bdGtiupe+P/LOvN4qP7vj1sKRWXPmuw7YxhjhDmMLfu+7/sSWSKEkrImfSqF CpEshUKKUChL2UIqSpS1LNmXLL9bj8fH/T0+3z9fj3Nn7sz73vN+n/NeznP5 73qqVwTr+JgmgLXr17/rp7qx1C4L7GqwNfsixkuIAJ3hTfL7X5Dg3HbCuy3k +eMlV0OSf5FA1Ilibh9iZw8z54mbJoFsyOqjdeR5upLnJcmnacANlv1c7oi+ 2xvmJtKhAXR1h/RvIpowfnLxar0GDK99HWhEnidWRZbB2VcLvF6duLjITYAX SrfbtR5owS92jk1HxK5terqrPFULFOnYyuLZCcA7ak1MVD0OB9krIt3YCPDl Q/QX1+TjcK9zvVwUsS+U0EdkOx4H5u2wijlGAhQ/ojleelgXEl+pDRozEMDq LnU21l8XDjv1BmUjdueSguQFSV0ocvtnKhh5/vISUyudM3rgZF5fy0VDgMI9 TbguM314Ym0XDYidvuriJP2GHohsr/xdTxZxNDtQ5kIPmLyFv+vJx8Vv+YQc 5gHdyaG/68nGweMneSaEgKtd4O96sv/imdDrJCl4nef+dz15fmG18GY3FoYp Tf6uJ/NrQDvVOXmwGRT8u54cu/7dVRyjCFmXpf6uJ8fd0D/NM6IMl9bi/q4n z50tzTnfBkDd8OvverJZg+bWnjw1uA1vjykjz4uQGlmfGaoO9U3cS9cQ/+xu pVFxPqsOg89EP9xB/O3UV2E3G01N6O6mZG/gIUBwnKGiuoMmkIoyWSSR56FF y7B8j1kbXCuHLWuQ9r1mC/7GRG3oLnPgfoD4V6qOWxHNyHH4mjfKzIq0Z5CB 8YImvw6cXvUgr6EngMRtDd6hYl1QnKEdLETaY3Qe/16De5FITnXJPhzRkQWf NLPPMMGB+IgiPUQPHI0+8+0wL4ReoJ+lQnQtb3BCUZAI5EzoZ9xH2uvG13I2 TKc0uDu99BVFtIBcjSQpTRbG60Ut/qxvKyTRSIyQ8PBqOkvrLdJe9xuvFpMt KsKFdx/HhpH22t9lNVuZqwJUlHwMTH/Ou877kcZWVMCTNt/6H2nkfU01KPM6 R4SQ752CzYg/OHPxFyWLqsKqmEi7FnK/Pe7rVQaqquCG/3nxBHK/Z5r3LqsV qsKrN08qA5H2xxh7VQhQkMAodPJCEaJ3Ph5ru0NJggia9bV2xF9oPfdN/75M gis1JjStiN678GSr+AoJeqwSfpQi/eOX2aDQ0XfqMDSpmnIB0YzdH7y0HDWA 1b4izB7Rv0d8xWd8NIA4asUzj/jHbSuKkdRsTXg2380Uizy/ZoP5dg0pLeDu GbkkjOiXH4LKj2pqwebovQh25Pk9alVaJfpqI/3bjvI1pL8c+G0ncPO3NvR1 RwxMIHYGJur7qXzH4ckqaacD8Zf6BWK9iZwOMHUoLHoi/afIU7WiR806QGNL rqbGRICyfjHbAjJdcO7Vyk6hIwBJ5rNR42U9oA9jEyhC/KWucXrs0IgeRJWT 79wWRHmmZO7R1WR8KM80Yu+8RSo3yjNl+nq6hIoN5ZmqTm2372FAeaY8rw+n LVCjPNPyrmVWkwQc3Mrl6TKmRfe7c+ZurpTJmECEbaCphiYeFJtJwy1YEzg+ 069E6YOH6aI4BTKMCQi5HDQU8sDDIxm3jwGIdmHFHZUYlYd8w57lCSx6/q4w cBv/QhY9nypNdtY9ngHlmd6nXbKLYjOB0IUj9zzm8NAvFG/DTW8CV0fsHn2I lIcTl9PrJSVMYKRVWGwTrwABidzxHaMoz1TEOMbZfN0YxuWC8iRMUZ5p1B3y K5s1eNjKn7Id5zWBDzUH3vu8wwO+3UjVH4kvUuN0Bm1GFeBh8MincawRbJZI xihPKEC49g1DZXojePRPYVBiFh56GtJ/eYsg7dG9Rn73CcrP+rtvrwgP3+0T m3FCJqD0WJ18exGtx2XA8srkN6LNg2kOdOK2if/Ox1GSehOzJFAeqUn7q8OP 3sjsnjf75PbLa1ZJBgojdE4XSKF8UY+w1FrTIzgoqfKoLJiWg6Gjti52B3AQ w8C2w52K8kZNM6R/3ElE613C3doFLwPS7nxgqQantX4gaff+3x/YbV1MJe3e /96NSJJJIWl3fjB8R+xrfQ1pd76I98nZG9dfk3bnf06XbW0TW0i78zW3rQSe l9aRducDpzlrs7juk3bnY2buUnq0RJJ251+cVcINJbP1dudPdH8duy41r7f7 +6Tro8sc0g12fx/VjQURtV8Gu/ebBb/NYimUr1lQMCao5IDyNSelMCc+C6D8 TJWPs+P2Vmg9rmvp1Jz7Ppnuthf3kcmjkWNmu/dToZzyDu5C63XyWbZwFsag /EuRMPnpU84o7/LD/vYiDSOUb6na7BJMN2cPF0o0tqTW0fpazLTbJP29OEAy 1fizgw5Q4OAQOMONQ8ata+vVtI6QEyn+no8Z5Vc28PZ/5eCTB6szivKUn5yA 63w8zXMReag6q3aBfNQJZIoXZ3Rfi+6eLzwesLZ9mlUMmLnn3zwwdoabbDTT p8xRXqVGp2yQn608zLxu0alXcwZvywzaFVmUT+mUfIH3uLEU/Nx3e8KSxxVG /9F6uZcM5VFGctPmpZHjYWOpSa+VyRW2XNlz62nx4F4h80WY6AoFPflHiewo j7KYJVl0ghsPgilN+Uw3XKGmf7yZgg8PB0IMPpcVu0KwgunTY1Ioj5I/Lici Vw4PwbeqPQZZ3ODNy09u84iWX6qYf3rYDbp+SuznuEOH8iUp7nCq36ODdnsx AZoAN9hmWO/JeXEA+Nt0T3xMd4PZTUfTS+Qoj9JXm74y8SAGXK8s1z1LQq4P MEhpP4SBTZnCpbgUN6jeRwzWJaI8yrZ1BstRZJyEUMmRpDjk88qefEexKH+y QO9IR588BhQZ8DGx825w8sTorYd6KG8ypKy2stwQ6Y/o9IdbVtzg+dl0h8sW KF+yf40/4bwVHgpaPnTbe7mDTRu+gNEe5UmK7RmqN3fAw8fTj/p0B91hgXLJ 09AJ5UeGsKdTCTjjodEisjjN0AMYFRhKmZHx9PQ2RzxDCgnooo5btCDjiTct /VmpKXUQDPu9FIpoATa6KhkTDdA6lilZi4yXd3pNtX73acLVpjCni4huiXlc PcikBWw1ZIBD4p9wSx3y0dfasCSvelAM0VJrVoYi77Th+s+S/D/5xL/nA7Ur uvdr0qM8Rw2f7AvFkijPcVv6y4HEP/v19LZarFmoIAI7GOL7Zz9bx7SpWi07 VBJwF3CIvijA/XxcXgB2vHmox5F4Yvxcw+j9VHFQS26VOoPoxDPOuZhTMvAt 9WrQAhJfzDEvFSYdxcFQx2lvbUR3zdeLjrQrwLjTyJUwJL7huZpdLBuuBG99 ojcikfimvT/y9Uukm7woYfheH4lfGn9c+T06qQqa5DvNRcj9WRdi7H7gZ4iz yfLmxZIobzHctvjvfsl5zq6nGduju7xFqaSDlVxyJnBj8gaZhQDyPg9Xyc4h 4x9v1v7FRyJ4MKLA20wg+g6xfuz2C5S3+O95YTUN4bEbf8Y3b6XLQ9Liu+OJ ynvGkg4Qh9CTX+mCRUaI5t03SxxZxOHNpuhmUwEVDCwnKbouI/mV38APHYVy YslpTHXfJMpTjG0/5UqG5NdJCwUSOScOgMyYo7/1MA4s2l9kykRxgX2IoI7t O5Sf2PFE6hD7FxzgY/e6ioQdgZTrOzbiLcj4vRKw78g3ASgRNr9b/hDlJX58 KXOkthoH0+vt1uevCYNgia4ldzYODmMPKaXtIM+r/Ns9g3uI3VSObYYoDtUV Tw+/CmcGJZPnlNEGWNhhTZrNAFaoD7r5uBaDhUb5EFWxBTboIQgv/1qSgWdO jwN/r7DDet3+1QdIP44zyGQ8ncwNMlWMAuxeKF/RrRHT9CIMA4vBqu/jeflA 08SH7ScHZrf//soi8cirQwp6D17+x7ODD+4Jf73WFC0NFXIMnnkOAtAVeYf+ eZwkLFYUvJMo4wcuSl27pFNSu+OTgUlCx+HzWOD9dqS6o/IXUeR2x8epYCzc 7HxIYfJtlbiV9M5s9hwW3rc4RUcN7RDDSiPcsMlYoA7NSGPlWycyLnNj2WPR 9cOMxgNBKv9g4RsVeSBlLRkcVPN5R52CBS5JcTeGNUp4rJYQdPcKFjILbnQ+ pqMB3vjEypeI/sJxKGF9YA9EpbJxpyKf/3c9i+fC9+3QJOTzl/a2pMzQAKti 7UYscv1YQWOlqxQd2KYORG8j9q2DDcJm0vQgqTR1uiQaC1RnGy+aL9LBPYVw 36pELOgpx8O8Pg7clZz9fJF8a+XAknKnCg7mfv8scUyWhUgdAimuFeUtpt2O GPyCvL+ez1zDKRB/03/72IHhkgwoSwdRy3ShPEXJAU+eG9lqEDaEmUgTqyaK athzWCarweesldriwI/ESbmrDoIZasCUFzvZtfOD+DvFJuNUmRpw91F43fEa I75gUJEiFKC8xZA62d9futTA9GaAYUXHIvHz8vVrko1qsCHJcD58YokopvLC yuC1GiiGns6g/rpJXOa+Ukv4jPIWrxyYPGO8pQZ7vN41J38jh8c6dV1Oc2qw llXGpHyKGoZEcjfOHCDttm+pSVZnljAJiE+aGRJt98FXs3++iBwmgUmbR+tF LD0kFEdtqymSgGee/6RLDjOwLPnd03UhgdsH2WhRCnZ4ER4rMXqBBDl2+2io LLhBoEblKuEuEm+p6c0ydRyF+z9kFyOqSEDhnfXUeJAPmMt8U6KbSEATbRyo Mc6H5E299C8RHZD3RIBpRAAKu2anniLx1/hoMr3qsgBsHVEu7UP0F50i6swF IeC7LC5q3UCCu2ZHHT3WhKCVmYFSDdFu24oZvLMi4PXxy4PbpSSgr7gq5dAn BgOCv633XkZ5i8bej7TtlZD74Qvv7/OWAk26sLQ7HKTd+AfXbjCVg7TnfYty LG5aCjDxp1fvkJNATTvwcAAfBqKTVDIvVKmBbwdZ3vF9GHhN2sK6N6nBDcY+ oZzSReKUWd9qx0eUlzjZch4CbupDv270e+5KGnihPKh7/aQ+DA42Dnl10sLi TZyzRao+5GwdFstRPwS1BeSh+yv0oVU0wyf54QEwCCukbs5FeYqVOK5PLNP6 cDVMf77HhAGkT1UVHenXh5LQRzkU9gwgURTbP4NofHSvltg7JqgX1A/U2G+w Gy9z1Oc1RqoawCbLsGXOO2ZQob9meJDHABxGb0/pd7PBooA8TWmwAZRmbS47 +nODX6XImF+/AUyuT3rw9XHDtxfj5LJfUV7iLxmu8pU8Q+B7dGB05zEfZF5v V6O5aAgD9/CuoWT8IN6mY+l21RDoyeTWZpf5IZXW9XxYHVqfdsjWJL19xxC+ pFBc6XgiAL4ZjGZbQ4bwMqPM+uQ5IUg1NZqwZTOC3/spO7JXROCgiU2TlrER kMnx9dsfFIW3zOIVcaboeVTKeZPR4RdGMMp/2s/lhwQ8LMmXOlNmBCe4Tn7b LyMJ9M+1ziw8MYK2zOyc8zgpiNJK75rrROvh4rSEfabmjaD6SG+D9LAUkCdX dNF8NQJ8xsP3Jz2Rfvf6w8vEQ8bw89O79ZYEGRDmGVB8rWUMtwfuGzc9kQHC dqX4fmOUj5ikc2L+9AtjoE2u7GHPkYUti+yvtY+N4aXOM25ZEznAqmrW+/UZ 7/rv09iDS0I2ZpCI01PPukQG1Od6DhQpmsH2VoY4zpUSPoTrZuUZm0G5YjuZ 5BUqGL/bin3uawZ3V5+aX1KhgmvdnE5HvVEeYs0VnVtaWWZg2bt5zahmHyis j6kKxJlB6a/wjOs/6CGKHypevUX5htq2U3Fnoszh4v2QdH1Ddgjs6ntZ7G4O O8GtOAkqbgh/Xb26Vmq+m6/Q0ibnnNC3hCRm3uRexD95uS6Hp8ig9WC7l6tG 0pSsIEaS0ylxnzjsw9u+6+e02u3vDhHW+Au+24BtU17A9e154r6w+5Ib1Tbw 2nPTVcF6mahWcfCKTJcNTAcMxvV7k8EhC3l9Sg60nuv+h+rPnjbZAeWFiF83 njHDW0x8snSSHQyG1a47ZrOAy9ba16YCxN7K9YqpC+UHji56Na2ly0LEwN2G s4V2IJNJZ9SbKws8LJKZ5yvtgEdI755iM8oDpAwKl6x5hIPrXZEtE1JO8ELr ccndOSQ+ic4RiIt3AimxIrJ2NXmovrxP/gCTM6Su2Ptx6suD0G2bm/zCzjD3 6ZkVVzXK+xu554ufLZWHGklMQCSlC7zdXJqIeyQPq6r8y5eoXeDpP3S0ei3I 5z0KtwjHXeBS4e+AO5aSu/WKNqfNw5jYJeEal9nBqAgXOKz9ZnvtK8rzE//o 44DvlYda6piuKD8XuCJkVf78lzz4ZlGePfHOBRqyDbJ2ZiWhOkasX3PCBYLL 6AJsVPbs5jcpDztzSM8ogPVXT9YpZ1c4xXWyMZIeD8u2Nbkkc1fgaJ947B4v vZvfsOFjz70ykwbVJeehQ91IfjWYWDYtigc3Tz16Ur8rBNn7JX7sk4aNfspX j4luwLy+YTyghAcTChq1OQM3+MhnPXJNGQ841huihWZugBkN39YSwMDN/NU5 lhduEBex41kmjoENz9V9d3qQfOR9zKC4DpJfxO+hjq53A7LImoV1XTy8G9da Kut2g+UN2oKbX1Ee387VaZrPbvTAscx6VIfXHXpZhFcTX9ND2J3KB/r67hBz 0pYviJcBFHm1teui3MGdiz/YZy8DeJaHlxz1dwdKLTLmCDM80Cg/+O4p7Q6i vsnCYUi+c3T2Z+eyjjsY6UxIb9xk2M1vjk1hlVJPMoBk9G3+mjJ3yPzGT32h kQHevNnpXlxzh0EOxlYLP5TPtyLK97zeDQOnco7P3LntDoJGuK+tvhg4VqPg 3vYKse+9y3AsGAMHSeL88pvI9y/58+BPYmDaRS2X47M7OF78ufXWFsmvbkQ8 KrrrDiFFNngbJN8K3uFsv9XkDhj1WPzkIsNufrXRc5n92yADvG50jjjM7gGk wFP+OdsMwE9fzqge4gGeNaL0Y2Eory881DdGKBQD17IwrGQcHiB55pavCGJP bTQ69FrOAyIb3t33isCAQ5LB8QR/DzAKkfbsDMeAQY/va18LDxgYzfA/guR3 LjMqA+osHiASEmA/gOhblDxHaxVRvp9b6qmR+xgT8NAU7silxIMtbdSeDSS/ OGRaK3VrWWx3P/W/9byiKcUGmbZowE/2dpq/gCC4hjfMBdlKQEtiozpTGMrn +7fesrHK3jszlRJQUj/84XgWyusb0CePLkz7X17fYhb22BNDLGjFrE6El7GC +2xGzmVh7O7+J0EdqV9zZFjo7hSc2qfOCebVcVWFlSiv70gzX8Nikgyk/Xw0 HquC8tOvM8emW2vzwOvmMXsdPhlgy95+co35KOD1bANJ6xh4uscwiPE0kl+0 eZvGFWFAvK/E/lA8yuv7N79qij91NgaJT//dT0Yv7197a1UVPi1EM7CfQHl+ ugF7vC68w4CbpEldprnabn2jxoWwqL0RamDAwt/84bsMaDzSzWU5j/L6Dj57 pOgTpwb8QkZJr3wY4WKoZ9WQAQk4/Nz3Fisww3DoUdZiBxKwtuULTfWwwnf7 z0lmp0hIvpDQrrGPDcgxFDTuUSQozzHV/SXJCcJXGGO/XyPBj2n3xpffOKFk omieN50EPvhbHlIRPLBn4QD+7UMSbE/c3f7SzAOfkuE9CxLPXdK4dfX9AC9w 306oFKknQfYF786dP/WQGe2EpP4fv4/wpWVeBIkH9xZvBPktoHy/TW4ukR+f +aF1ZbqksRnl+YU6nJt/gMSX6aST+SKTgvC4qfcMbTPK8xP3nF07+IoELW6z 9w8sC0Pds3nl5GoSHBc4cZ+HXAT8b/lT/X5GAr4S/T3m30WBnfZ4LyaHBJ3j egFnJcVgRnhfUVAmCc7fthKefSkOV4FXrvc0CWzsM2nPhUjA2zDbRjpXEgzf fTNtnPmdaPDd9IxlgR48XaUTCPn1k5iJ67m/v1YPBs9Hzlw25oRHDZ32AkUG ENotYC5bxQl0HVsDno9R3l/bOYmmuSYDyFvp38f4//h/TdlWdEItwtAsmafa hzMC71PRnUHcIlB9zds6RNkIJMRpk41aUR7gsaeiL4wOygDTBr/xd2ljYMSp 3UrhloGem9rnqrEoH3Cz2mc9UsUY/B90Ke8ooLzA8V8nTvkFovXX6mSyx4wy 0fpq/86fR1mcfFsk4QRPs51qku6h/ED3/DVKx0G0/tq/9UX6XnXWJIW5wNbX 6JGVDPLd8+b/1uWaulI+02SN8lkafhhhZAtcQSdpPTDEiX73vPeiXOYtfm2G /+EHKlwFJ1yOO/jWPB0yckX5gme0h8S6TqE8Qc12kSfZEf/LD9x/Mecoj7sR uNy865FdgPICPcnurROzFODkDw6lOnNjyDFPfDBaqwDZY+W8FDtIvHom9m3a KFrPzxyb5DeQivKZ/q2XWXHhjArRwni3PuFzq1xRSz4TeHKdQ3Jec5h4wmG5 MdQRC8mi4+MOQ7+JBK1XXkvkaL1tjqeDJ5U49EF5eA+PohAPPJG7R5vxG+X/ bZFRGJ/jMoRX2v1zUjq8EOm0PzNP0xDeWszSveoShWP5RVxH3P8f78/es0E5 1AimfGPa+s+JQ2z4oqxFihHobkaOjS3KwAQn1ZUfdii/z40kbyOP/J/G1c7w jTYs2FlqX7GKN4ZX8ksVj/XGiHG3BdfOfjOF/cqZxJ+WP4gWfT8SeaZNYbPK tJOYjfL7CnQbimn4mWC2wXcP1SLK62MWsq6l2m8O1sq0ymlKrGCWeKDqmrg5 PI18bWTqwANdEae4RodQHp+n/QeGn+vmUDbCT9siwQts0k049SMWyPiTrR/p zQ+Yn8+vtp+3gJD15odYDgGwpbqocCzPAmqzYsdf3UR5fNvvWbWyaTBwz9bb qeUCyt8L4lJvtKqyBjWOVuuFOxhwzuXji5pC+XsvTvBG1TDYQH65m6ZvEcrb ubLEEvvgw14QKPL79tIV5e/Jnd+f25ZgC5Fl3IPtRrQwRv7wlOJjWyhUTyca fUX5e6faa5dksbJQ8d2r4pUUyttL1CB8MfW0A5fW8cQtFZS/98DkqB/f/v/w 93hlIWzuyIkqLjuwemJtLXaDB3RK8vtUWFH+HolcFi6oOYCAleNy29pRoFyP 8LgejvL3jtmoDgdlOiDvWbRBphDK43vPcmS80wcHidTBbbmPHcFrtVQo5DzK 30u+4hOz6C0Bhz93SVtKuAChjUbPLeN/+Xoe911FR6lcoFoybGrxzTbxRLPi RCMnytO7WzzJGyPlCt0qH0lFMv/L1yt6kdo4vNcVsDo+GfnvDsFpKhw+7Zfb 7nmUyXOrG3wc7hAqp6UZfhjl62XUFR86vqIATZWHTj69bwBDouk1vWQEuGVW GOmeaABk9d+dxSgJkBp+v4bezACy+sfeEskJEPqe4ddoHMrPu7OqJk69aQza o+2vj6/IQeSmxsPLC8YgDnfqbDlwwJLw+VDtmjHk75SYcRnjoOOzRdExChPQ Chvo09bCQR7Z5uMSMhN4W32NJr4VGX9Ywh4U2PCAI4nL7meNMBj0ezq83hCC j1SfhPR9GWF66VTpujcWoi6fY6zbkAORwm+X65C8RbJWrodVVw4GFNNpFPiP gfGFbr4eJ6T/bm60eoAhwoYPh8p3PBb0Nb/bkKRUoe1zR/67k/Tw+T2xK0CJ BHson9BSDu8BqRKyIEdtfXiLD1ZZDlKAa+9i+k3vIf5P9eQSO+UGsciD/4PJ ETOYuSUUOZ7PB8VXC1qLHC3gRcyanEGiIOBSWlL4pizAifHpg+AKUfhC2/b5 4RtLCMqWvVeTJQkmRK/HMa1W0Bg/AEWfpcCuQW1/koA1/OP8QrJy/jtxvTwo eSreBnJuPrAlt6WHSmHaZ/NkdtDLQyn5iIIJcpmiOI+Y2sGP03U/6yo5wLa9 21nU2h4yg6iG3OnkYFbJqjcd7MGmgmAjJsENoqSJGJkqe/Dw6Xjb7S8HummH Y3l67cFpQq/WdFIMJIzxlOTpzqBRFtSwWioOx6kSHD4PO0MIpSxtQoI8jNR6 uuzkOUNA6Fn6RNcR4jWL+mC8jQsYf845lOHxizgr38WnjeRrkQe3DiY8l4R4 boOyyLcuEKRDadv4fi/otfW8FCx2hc8Tyi8HP0lBep2Dk1ioKxDs9WUqamgg wS9Qfe+KK3Tq875MaJCGvJuW6/ySbhAWW4cbMcfARz9c62Frd7i9j+HA8jjK 42J57lr1Z77/wxvRMj/ZNuKFetO/Grvza29KWzcx5/St+nRJAkh8DjCnYqYE /vxTHCcRO3t3h52QKhkoWJ076I/oGi36LztDZKDMvTQVhVx/S1JsqfYYG9C1 pWrZI3YK65wOXC8rSNooqNkh+ngnhcUYz2GI5JPM00Gub968T2gO5YfPjQ91 FBH7+QiJt55NfJDrbWhKQPRJZv/NSxN8YBkg0bolQYDyqW9m1V1iYNIa6rQX se8dLG58wi0Gx/Z+id6D6D4pBaEEFSTuurmWkYZc38bMe9yOWQYMPTOs67AE YArJLdasRfrhM5I3ahHt1qXQc+INBuL+OZR3CLmeszj/wreXcgCueYlOiD29 ZURry1sOxApLZxwRTQ+2BoQQOXiFIf7j9Wc95nkDe4CfAsxuJ5dMyxAgXDXj CxWbAijUxJL+6K5y2uhsHgXgeBmxfUuMALejQimoOJQgZmGs2QGxm479xPo3 H4M+ho7MP9p+XZPtatsx4Ji6xntPFNFVd+Lzm4lAeWaaywhDgG+adIYfA4lA 3LhpGy5CANZ8KcnCalXITGnBuUoRYGj8skRRsir0lAo9//N/FBwuXi6xR+LZ UDWSCvJ9WXK3RbqkNEDfxre2U5AAOGU31b5tTfAXSCJc50We3+j4hm+HNkhb GZRS/8IBs3dPabXNAVD5jvMITRGDPmlmqyUsK2BT2tW13otA/zxnaFAmP/Bh sm8WfpGFPTMleiUaykD+bmZWuQ8LHo1awmcDAcjAlT2d0pe4wyT79l6o3m69 o8/P3h7x/mgMP7mCWFxOy8GwJccKyyASD4jKX3S7JwfqcxvhOd+NYfJJdPDZ 5CtEO3vt/LUaU2BYtKVfaZMDhmeJj2VOOAC1v4DryhwOQpi8BckSnGBO+LFe OkEUGKyk6N8dcIaXVyS+2g7mE2cM/FesjrjAU685jv55ebieVh9Aeu8C7rqB Tx440oKCD8tilIYbXBuO72usUwB27HvLS5tGsIwPlTZ+JgM+K9yKqQ02EKhT 41FXgwW+2QfDUmW2wInz4DqhzA/8xvIlZ3UcIbDDe1rcWRC+XrHO5GRxgp22 0pgxJ2FQ/HzegTHFCQa+VXbrmYjAMzbyGwbtTkBTpXCm6/Uq8exLVfWGjy7Q PEDFZiVAgCr1Tw/9PqnDHiUFuaCjBCit+DDU+0gTGHk7FO5yIu/b9zWB8wna YNYZ1JfOQoANVbOxVCcdwP9wW3KmIYDiWJ7rGRo9yJ976zV+gADm9nLqRwl6 sCT+4VOhJMoXsCGaCgYg/vMjh3kmSW6D2HHkxV89JPOhGiezTtQj3R/5s1+R DqfyHfOJCVizJv2cELtbuELPb2UWmNOb8XZENJl644nWJWaoPD3cbv2n3krc J09zDV4YVN6TRUTs3H6HcVsrvCCHKSpUQbSCnNMZqz5e6DCyiGBCrh/83SFC nSUCl/6h2aFD7L08N8uTDERBrrqM54+OWa0b+iElCmu1JLNy5P0OijEkK1mR hn3LFAEtiH8+PXo5rcsEA+TXz5Q2I3quR7CCUQMD9m1dLHLI9RShhJXcAlno 4gg190Ps+hwJEmzbsvCpSrrmBKK3fafFaRdlAUOyL0xD/HtiP7PWpCkeRITp YzYR/5Rd1BRiK8ID9VkLlj/aKD0wwesuHmr9JeZ7EP+eE/ZPFCQ7BgxNMQeD EHs3k7VGs+kx6N94/TkQ0Z30ntl4o2NAc3ElYRzxx947YknWD1WAzNlV8yLi 31fbw3KtyIjwUOmcaRvi3z/jrtuoSqjCo/vzRzIQ/+5Mig/ot1aFiTrGiT/7 zZ7YVoYbUpDAc1wST0L+n/bMzpSKHAmUDvlV+iDfn8QYHHH1kAa889/RnUH8 /WBu7ODBaU1gOnEpPhPx95Rvd7Rp32jv8gTwMY4TQlIm4BpT/K1YnQ00vOTl Rz0NAPNS1HefjxAEljTd12E1goN9oVF0WhgQzVqUKqExhtylIsfDlPRgLrOW NvncDAqfRzc/s+ECBhcFO4+75mAyRT1yQZcMck5Ucfqy2cLzvFwBJwsR0KTq NS2MtITiqpuaMlYSoPumNc0qwAoMRR5eXZGUgR8ZzIPrJjbAq6LjXqqEhfcN e4oScLaQ1uI2icWwQVDi3l/MO3ZARhgl28vDB5kytMJaww4gc06gLdNUAHj1 qbC+zxxhLNByu8ZdCERjMOE0Rk679VwZo/mEUrD/e/7kv+vP/+2//nse+b/n Ff7b3/wfuUYnYg== "], {{ {RGBColor[0.148, 0.33, 0.54], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNl1tTllUUx7coj/CC78vzXkJ5yAMqigdQEVBsbLIZ5SAiSNlBy0wU6AOk HPwGqHCnpl3JjM0400zqV6jbpsN0ZY1ddFfN1FX9f6z/G1zs2WvvZ++1/uu8 n00XJwcnqlJKw6tSWq25M0vpSnVKL9ak9Ex029qUrmq/oZzSAdFdpZSKdSnd qUlpn9ZD2v9d84L274jeIXpDMaXnutsu+prutmreq3FJ9EudaxF9SHNZfPK6 ONeguVQX8p5mwXtM56dED2i8IvqO5tsapzVGNUY0Dmr/i5rgOSJ6m+aHWvek +D7vM4NZ3OfuvHDu17lNwvl1FvSsznxsrOBEJ+gp0ZnOF4RtjebtxTj7t/A3 i54RfTGXXNHTot8VfUY8GzV+lQ1vGutvop9kYR9wToge9/6M5rMaL0Vf813o MevepPO7Ne8yz63iMScdv9R6azEwnpPczaInRf8lbEcK4a9xrW+Yzy+6e11z Xxb+bdG80/td7MnvrdVhe/yLbbaLvlUT2NvFq1/zgRT8+o3tlnlCg73VOMeq g8Z3jzQPa3TAw74ZSHFmt88jv8vYiEFikdhkr9P7zKzByflu0QrdpbjAv2uw RRZ2x7b4fdr74JzT6M1CJrKJefww6/O7fB48+GTG8dNk+qV9ioxDlsXd9aKH HG/ot8sy4N9qn2KH+5rv2RYL9jv8+3y/37F6xhheGgc2Z49vrzoXBq0XdsH+ jdbltPFgwxb7Fx5D5tOWwgb4E52ajGHaMQZP5DZaVqPxQMNrp/Wa8F322Wux v/psY/DgozftL/KSeCI3id1ta5fz9IHjgTz+KoscOa4Yvpwirz6xjbDPiUKs yT1q02lsliLWz2DHFHVn0Ota5W6P7gwTS5rPgt25Ts6TP+QKNQselRoE788d s8hYsH+xI1iwH/akflErkYk+W6lD2N940Qs9eq0D+UVuUd9OFuLcrL+3me9R jS3m1a3xmsZmjcMaGzQ2atwVj8zr7eLTrFG07HqNdY5bfImPZh23xDl19apz mFiEB3p2mvemFPgGrDsxJRcuxRV5QxysNqZajYLvSLVUY7w1/jbtWF2qXVrX GR9yMt/ZYh58W1eO3lDUfMQy+H7DOUseUQOJoWb7ucO2GXZ+bbB97jkXMq/R ARvcz5bP3vX55kpcpojHxSz8/6Fq6ymBu5BH3d1m2f+Uond0liK/Fhwb98x/ vfk8dK0YcDxhz0XHPPvzvnvQ+B95f9R3R4zjkWNx0XRlb9HnH5on598T1reE +bzm1bLjTtHH8oj9LsfUkP3NmhwlV1c5p546Pod9Fj+Qu/SBpZz1HnFKDp1y /J6xH+DbbZ57qiM3njmn6C37nQM/N0TelYRxVPjeEM4RzZ9lUeupG7fLYfP1 xcjP5841+tKOFZiYjzpu4X3FOKkn6EHtpwc02bY3bbc+71OzugvRO8ete4/r BXlFfpFT1J4Trk1v51Gf6P/sYXPWzKypUe/nMfNegMdSrmr9WPj/rYm30ZJf CuGTo4XAMeFcbvZ57u00zfuE+9SwVQ1Rw3gL7DD/ovl1WxdscdJ1ExsfN85D fo91aG4rhY9/KkecDTr3efNRH7tLUQduO4/2liIP/9Q8XwpMvAfhjYwpx8GQ 4+JsHu8T3inHCmHbSdv4mPXl7cJedTn2Xvc+2E/ZntgdGcTdUB5nfiiGrl0+ /53foMQXcY/dvtVeoRzvzMli9AXedZOOEdb4vKMQb9xKnZ5dYb8Z+7/ed7l3 wra8bF1qzfNwId619JP6crx1Py1Gv4CuvK/BQ74t2IZVDZEzL/wOB88+9yR4 trnf9FpmJf+Yebv2GeNlx8C4ffBRHrrwhu2xnc7az9ec913e4zz2RudZ+2/c 59C71ro/dvwSh8ftc3AQQ8RSeynqxMiKWjJsGU/c58nZftsY3HscVz+WI/6u puVeNOZzh0vhg7XlwEzvoeecc10nr/8oRa5UlZd79v/vH9sMGcgilqkl/EuA iT7VY2zzrqlgfOC6C5YvXXfIUfKCtxd9lnnCdLv9gbxZn6EvXHVfBs8Wy8FO 9CHqJ/nX5F5NX5hzr4YfdQodeF9Vei3602s3e02/PW0MBcvg213LJ39b3U/p ywesP/9w5907PuBfJo88HM6jDqErNXCPYxMM3xejZg3m0cvBslFjXynqNvU7 8x768V9zxW+Ietuv8i7YugLrEccLfW20UqvzyIH+PN6l/C/xHsA2c67tyOm0 HbHfqHsr/yzIRi7n8UHlX2bK9m0xtir7aMr82Rszf87f8P51n2efnn9uhX+v 2ccX/H64lEdvoza+k4efutNy/HYZd5PjB+yHnXtLOWrMFTzIxgen8qgRvXn4 84Z1/Mb9oCePXkpPrbzPr1uXTr9h+CfutQ2Jsf8ASgd5uw== "]], PolygonBox[CompressedData[" 1:eJwlkskuRFEQhkubrqud2+fujQm6WXRMCYkxsbBo8xBDDDHs6PYGhkcgvABr Owu8AguJGMKajR0LVnyVWtTNX/XX8J+qW79emMonRCSLlWAuFokrRTrLRSa8 SDl+Ev+yTOQ9EnlLiVyDPbFkbDmae0Ps0YlUEHNw3aFIDm7XWa72rIJbJ3bA nBz8BngAy4BJk2o+o95qr+j3yqwott5dzEiBu9HQCj4PRB6caVJtGvsAd2Jp 8Bn8PXw//dKhzbh1VqO1GXK6yH3C74PrxSbJrcFvgjsiZxu8gx0H1rMjsp7a W3Pa8BNo/ATvob8IXIrGAjjkvWXgPPknge1Ed7PMjH34EeatgOe91Q7jL4Ab yM/jD+HP4L84w4PYNP6Wt90dkrPpTaNqbURDFj2ChovANJ3iF+AjZqewythM cQ89xqifwvpDm6mzS2LTrjfviewGegvtEcKNe6vVf0D/Bd2Z7k57PFP/E5m2 dub/gte8vVVvvgpe8vZW3cEiuI6av8A0q/Z6Z7W6M93dd2Rva4b+At8Rawnt pnrbRGycxorBc952pTeYBdc6u7XeUG/ZG9m/pDfX2/8D+5lNiA== "]]}]}, {RGBColor[0.4904290523370268, 0.4760613282973577, 0.5307701417571472], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmXe01MUVxwdQHuwuu/wWTawRsITyALFgV1CKXR6IR1AQ0SQniQqCKJDE FEGwxEIUuyAIGulgMBGJBXM8KoL0KioKCCoiegKJGvP9vPvd8/xj9t6Z38yd O3fu3LYtBg3udUP9lNIc/TQQvDqX0v8Et6qdWEppQcOUVhVTOqBJSj8tRP89 4YsEx2nO1EYpVVel9E/3gXcIni06J1XFvFHqvyw4UvC5fEpvCF/MnFLgnwge JdrzhffVeMdS4Mu17z3q36Q2XK0mS+klja/V+IHioXUh+r2z2Ge9xnPllMY3 Tmlj0+BlSAp+PlR/ifoH6fsMrZ2udozWzxQ/b2p8o+Z0KwW+Q/DkquAZ3ifr jC3Vn6N+e32bJbhB9M7Rt9ZqbTiLWiv3J4pmF8F+ai0LsY5+N7W2atVqXb2O /v1qt6iNUHtE7TXNfzRFWyz8sRTtdeGPC54iXv4lfLzwr9TeFr5H8M9qwyyv 8aaHzCc0ijWcZ6/O/WrD2Oc+tZu9972WMf3u5rEd96X5QwXvUitIdg9Itpua hrxehVfOoTPOyMedrlVbhB6orVF7yf3Vagvd36D2itdfqLu7TbCxaF8sfLTw vPDlgi+o/V1tXTHumftfZ9ovqw2Qjl2l9p3wbdZd9HZ4FuObtW63+YCv0yWD i3Ih0/WmAR9rTf903e01WcwZJLjC+/9DbZXaiz7DSo/R/1jtLe7Abwa4RO1U 7dUtF7Lerv47akvN5xL3+2Yx53LBFjrzJfAnHtZqTU/h+9XT2/C6ZWo7DN9V 22mInAZo/Xmi01/wtKrA0aEvLHfOf3eKe0Q/PlJ703x/luKcnOlT06O/y2dm /ef+Tr+H9aI9UPtUq3VIoePoP3p+uM5ykfi4QGdZ1TDwejrLEdyx8AtLIcen 1CZbjpPcX6n5F2pO0vzn/QYes7wnel617utrwW9F59ByzD+/FLoFvSkp7EMn jY8VfmkWeMti2AnsEraqjfqvC/5Xa9sK3yT8m1LYia5V8bYWmd7TagdJxx9p FN/aaf63GrtRtP9mHh+3vjxpXhvrDBtFq5HgNr2ZNcJbluNewRsIbtX4auHN yyEjzs/Zd2p8g/BqjW8RvkL4IcKfFw/z89GHLnOqBHdoznrhbcrRB28o+GwK G3qv39MT5m+B+aU/PYUNwmY8k8KOsIb160Rnf8Fp1iG+zdRYC8lAoqr9hr5y JuwLdgY6f/We2JjnDCt2rj86m8LWXOk+EBuKTR3h71elsF/AgWpHVoXt/VEK ezzTOneidPAEtauFX2EdhNZTktOkfPgSdLaZ2gEp7K7ElXR1qbls1xGFoLm+ adBfWgxbeIX5Yh/Oyl5tvU5irrX1JdOq9lgzvw32OZCz5cJOYaOwy/1MlzPh D7C12KMzqkKH5qewzeg9Nv7MqrifZiLeW3R+qc13S7e/UHvRtpw3z5qh+tZP c4YILm0SNujhFLYA2wfNXU1i7rwUesd7rF8v5AsvPSz7ruavv++EPrajr88w OR84NuVp4VPyERt01P7Hqp2r8evFx2XCfy04Jx/vijf1UdPQ88PKIZv+jjkG 5cKGf498tOZ84QMFr1W7WPjPBLdJ4A/oDVZp7eHF0MOzNN5T7VTNKWq8p+b0 0XhNKWIEbAF2ABsAjq0nliGmuRE5iE4nrT1PNNYUgw705lpeyGqW4Ga1mWr1 xP9s8VBfcJnmt9f8czT/gHLYiAMFV2j8OI13507Uugu/QrBPFrHRZVnIDB6Q W+ti3PUHonmG44+sHO/zL43jzaLj6DoxSe988NChKnwyc/CdG6zD6PLthfg2 xm/9/sZBj/gIHL+Lv5prfcAfzHH//aahf5ubhg9CR7BP+5pEDIFcsKfItFcW MeFmy3mCaI/T3g82DvxB88AZwLGNfOfb7SnkPcFzRheCP86yyLEmNJE7OHYb /V/YJHR7nPa+SevvykLP0LfBgmeVQp4PlYOvWaYDnG38PfF/peYPy8KvsAc+ aLP3mukYk/mtCiEb3hzy2am1Q7V2rNb+Se064bcJ/gE+hP9R8EPNuVb4SOHv Cx8o/OYseIfOQynub6Fx9oA/eNkkuLFJxF/EqjOsq+jtDMeuxGHc7yVZxLvI 7aIsbMNuy2efbcXD5v0L8w/c53uE/ibvtdE4e+31HNYuNM2Kzdnrcfhg/Z0p GjTuMv/TTadCF1uBTcI2cW5syEbPgf5S0/yqFDH316Xgb69t1hLrKTbyHUNi hKWG+OFOfiP4AnwsMRV+Fr3okwufPbYQ+ofuYU+xqxuL4WtO8Pu6IYu5+HnW sf6bFPFe31zEUMS++Fd8HTEBsQGxODEEsUQXwRpsSS5sOPkMvuiEUsTKrMM3 7nDecY7gzlLQGVqMvIj8qLPtAXE8PhYb39c+ZVMx7Cr5DXtxFmKarfY98Lul GPECccRHxbC92OCPixGffSx8azH8AfEIdvga22Ts8SDj1xrHPo/IYs4HfkP9 zE9f48iO99fLZ/+F5l8i/OeCjfJxT9wRsRf8lssROzAHu0Oe2NNnYT04soJe Ta5urMZz8J/PNIoc6T+lwPcJ/rsU99moHLEzOkLs867hC/Z51fZZwHbG2xsn vu3gb/j2CaJ5q2Ct428aePOi53pt1yzwd4vRxyeyz5JixBNnZuFzj7UcgB2N H6c5eensd6XwIR1NE3i851Tl4xvjV1tvodcjizkrbW8G+O7I0fGb5MPkPVNT xHTEj72rImbcbt+KjyU3e8b6TZxNvN21FLEzOT+5ddtyrL1Y4zcUw5+0KEa9 AJ92ssbbac6l3GspYtJeVXVxZU1VxI/Xa/7lWntEMfKxad77OvU7C/6kGDnf 0+b7xlz490p8DX1i4Q7lGMf/t5F8Wudjj2rBtvnYG1uAnuPP8A3oKL6XN8Bb +InGDtPcQ/Lxlsmh2Af6w3Lha3L1QsboMbJnbLjHf6z1h2q8u3i4M4t75D7v yGLOp8IbaM7+mlNf8Fe5yPWIofEh8Iicziv5zWp+r3z4e2wmMRf1BWIwbMkk x2Hwe7B5xv9wbmTc3zkxOjDMPH4pfGQhahPQwtbCDzH1Hs/70m8Z+8G7Zpzc m7wZX90sH/bzTNumvaVYBw+cuWk55pQEm5TDtw8pBn/M2WO5sYb5B1vm4Lwb 9Bvdho/BucjjtxdDX8mNPinG3X8qfEgu5nA2cPSjsc+51nzjq4d4zmDjzOlj W/6tZXioeUDmNfl42zxzcgbifWL/tu63KET+MMs5/rx85PfkZ+DkcSWvI3cg P6j2enIObAk5ArlCbT6dIg/hG+Pc/3zTYR3xeTfboR4/WNPD39p7LbYK+4Kd eacYNMgbvzeP840Tk891XM57QP+J8ZqZLnuSr5G3kb8dXA4feF0WPuow6xs1 NWicW4o8nHx8VBa1DPzv74QfrTmtNP+ocuT/5B2/zaJGQH3gN5ltvOtIvAvm 97Tt4I2PcWyzyzEMet7Gb5z4gHiA+IA3xHtH/1uVA7+pGPOwCbw1bBa2a7Rj t2rbB2pPxJ6DNb+h8LzG9y9H3oLuU7siZid2J27h3pEZd0QsQ0xDnNPH8cKW FG+QN8Rbmp0PWhv8Bnm/nf3W0EF0cVQh6qHQaidYXYj4YGeKPLtBvbq4hziI WH5qPuwvNhJbSd2CWJY6C/UVakes456p82B3oTXPulCpnwHp4yeXeQ94fMp8 rrMt4G1RE6I2RA2JOhG2slI32uVvK/ydPSt1K3ihJrXba/iOT4Cn5Z670/L+ yvtV6l/kIsienPNyv+8vTestyxgZLvGZKjW5rf72pr9vsey2ex4yn2KaS73P 9lQXa0KPHGqBZUMu/by/LzIflXrnmlRX71yd6mqHq1Jd7XClZUP8sdyywefh d19J4Xdfc3+ax152W+97QMb4JXw3OoJuUZfFP6O3+HzqqugF/vmUUoztV454 iLjo/Cz0ZZ3PcEw53siwYthJbCSybVuIOi/x6BSfuVJve8lnneizUQOb5DPT n+O7QfZzfR/051mu9J/0uhesN5wJnXjM8kbWT/g7d4CtwE4QExJHL/6BvJAB 72uq5cX5Zlg2zEFOc/wOX/Hc9akuLlxmXlb4bnhb0/y+iC/powvQgBaxEb6i l3009h07Tc2kvmu4lfcHRLePrcRr5hc68IEt2W79G2f58o5nOR9FruQv5IrI m9rPa67nj3HOjSzxB9CnzsR/HLP8Pwf2eLVrj9jgVbb92OCVtv9zLR/ORe2n Up/rZnqV+tAAf4M2e5DzkAe97TrPbYWoSzxhGWKnkBux+uv+X6PGMiP/pb5E fbFSqwaSS2KjkAk2drrzVHLNk37wvxN5KP/zEN9SZ7vHtDr5PyjyfXJPcldy TOph1N0e9Tze3jTvh95gR+80RN/vMOQ+KjVN9I5chVyEmid+crq/sf+zpnu3 aUP3Xq/jG35yheu9w/2NddjbiY7rzrbsqRlSQzrNZ6BOgnyRKXWeMZY1ee1Y 60GHUths4ujjS2HbiLWpGyEL5E6N7XTrEDrOPXE31NvOsIwqskA2S117Ye1U j3E+6v/Ej8Q5xGTEZu3LdbJj/WzXYdDdLlnUc6tLcYfYpSGW7zivmel6D/q/ rRj5PHV07Df+dYtlQx15uPV8hvUQewDOe8eWYFOwl9gU/M3n/j7TdgE7hy/C 1mFTmUu/i2VPvD3YcTEx5AVZ1BnOzcKP8qYrfhX4mdcNtz5Watkj/GZuMd/9 /L1SWx1m3ccXTXaMUeP8ANrkedAZ6Pc3wrSIn4ml95jufdanW7OIpX6fRWzY 3PEhMWtz171r623WJWwEvgSZEItNz4fNr60XFurqkeCjfU+8vdr7zcda7Abx y9H+T7e3cxru4UjnHZ1NB73FXrGunddy9lGOf3gLI52nsO5I/5+KL8IncddH O15Cv5kz0vRZz3hf8zPKc1r5XXG3Fbrg5I7oLbqAbFpYVm94v8XWYWqC2BNy AOwgNpK6zHjfMWeqfZPJcrKsqOeSK5EzIVfkS+3iAb9h5EGcu8H/7bTyW77d utrG5yUmXuP/XEb8wPb0cs6Hjrc2X5wTPwGtSSlq361N80HLHz6pK3KPvMHW 9i+1+/p/f/SQ2h++/CGvHWsftMD1dNb+H3p+X0U= "]], PolygonBox[CompressedData[" 1:eJwtlVlsVlUUhQ8Vesv/13t7L04BBCsUaqdfQIpMMrVAkYK2BREREHAIIpQK DqgoMjg+mVpFnzQOD0bUSHjSBxVjTHAICNIJNA4IPopTFPVbWT7sZK+zh3PO PnuvU75mU8vGohDC08hAZEcawp25EI4Xh/BTWQhFyFslIbTmQ3guCaEjDmEv +BLwBVkIq/FfgP+H+K9Avx9ZB/6XXFfi249PbWkIn2JvJP5Z8CvEHgBPBH+O zz70UVEIs4i9FVlE/Ees3YJ+EzIX/AH4BvTfibka323k/w39btZWYD8HriNX G/lbyL8d3IX9IvBQ8HBknmIT792OfRL6Z8S8Cb6cnDPJ1c99uwaHMIWcx7Bt RrpKvOd0/OfgU4etQHwteCl4Nvh9crRKR2pz9vmC2Jn4fILtDfZ/PvMe2msQ +DzwICSP/ip7/IpvUWbby+BfwKPIMSnyHkuIPQFehb4S2ZL6DDpLOTXuJnZO 4lrvI8de8ECkJvIexegvIO+gnyWmhlwF5B/0teS7j3zfxNbXIPeC68lXgv8E 8DzwOOy5ASFsBT8B/jm2vgV5HDwe/wj/ArgBfFo1RG9H9oDLwTvZ7zV8ujjL CNUI/BK4Ezyf+EPFPqPOOp+YicTWI0fx7Y5d63ru1IZtJHhZcE+pt+5g7Xp8 W5AebMNZO4J/M/6XojfqDtjGI4exD2XtMPaF2Iehv4jsz3utKXGNVevVyMnY NVFt1OPfxp4JzYZ6Tr13T2pf1VS11QxoFpRTuePMvbWbtfMz10S16UDOxK6B avEu+48jdzv25Tn3eL/ysfa25oX37lEu8EHw6/TLn+jnkDzvM4wcF2P/I7Ft OverJL6XtYpS12xC4p5R72gG68Bj8ZkWeaZXsfdo8OTIM6BZqECmROaEAcxK RHxniXtsMvFjsE+NPLPLiV+PNER+0z5sLanf7j3w8dhn0tk08+v0duRYErln 1DtXqH+5ywbwo6nvrLurZwqaf/lgr0LGZu559X4f9mpsZxPPkmqm2o3GXol9 Pfm2k68G3IOtjT1r0bel7gX1zHfEP5C6d74Cfw9+LPVbaQY0CztTn60b+2nq cWFmbtSddXfNvGb/IOepwr8h8eyJE8WNs5L/zwruA09LXJs9rE1FX0yOTvho F3gR+lOpZ01v/KTmlT2vYa+PiTmJPkMzFpnTDrHfg+JT8FHwD+Bm8DODPYML 0XchrZFrcAr7Q+DF4GPgH8FXJe5F9Yx6Z3fqWvXqf4jNWeIucZS4qi6zTW9Y QJ+betbECeKGBam5WzN9bWpOFjfrTzmDfiQ212hGNasJOYbkzcni5ptZa8q5 x9RrqplqJ46dnfgP0l8kn5XoWebat4KHZP4j9FeIQ7diX4Y05tzT6u2HU/fG 16oH+43I/Paq4UjdJ/Fs6U/R33JZ5tqqZuXom4hfSvzf7LEx9Z+lv0t73Cju z1zb61SvzH+s/tpq8lWCN+DzV3COu9A3p84lDujQ28f21UxoNtpjc4l6pDQz p4pbxQniBs2EZkN/+iOp76S7aWbG6Lyxe0s9kQM3peZacb64XxwqLlWPzQBX Ze519Uw1+pexuV5/nv6+3ti1FgeLi29TP+XMIeIS/bn6e8UZpxL/8frrm/FZ K25NrYuDxEUnytzbynF76pnQbKgnyjLXULXUTFeg/wc30Ayg "]]}]}, {RGBColor[0.7390484205617114, 0.5634355471622627, 0.38461690292857864`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNnHeYVdXVxu/IMHPuzO1jN4AIgiUiXSlGUBOKDRBpglIFUUAUsGFDQOkg vQpKVdQkxhqToMaGxho1yRcVoyY21GAsmES/98d67xP/2M9eZ5/dzi6rvHvt 03j4hD7j90ulUvnqVKqe4vb1U6nBSSp1r+ib0qnUTIWM0s6sTaVmiH5X+Vrp /c2i3xY9LR35yNOolEo1Ub6Gio/TuxNqUqkHq1KpAflUapSeD61Lpb7MpVIf KO3zQir1QCnqma+0E0UvVP7bi6nUwxWp1CLRDym+tSboV0SvUbu3pKP991Rn Z8Wvq571imen4/lKxVcpnKQ2SoqvULhc9FOFSP+P2qpTfF063jdXPYeqb6lS 9HG+2rpfbf2+EGXn6/30dHznRL3/UyHaekPxmqpoj7ZeKsQ4LFb+1RqDuaL/ qXpmJ1GW8XlaeUYq77O5aGeu21qvb54n+gulLxS9VGntRF+r+FqlT1V8XU3Q y0RfrfiqmshHzPMS8ijcWBPl1ijMEb1a8c2Kb1G4T/QNNVEX9ZDGu1+JnlYT ZZeLnl4Tz8vd/nVui/7OcZ/XULfC56IfUVhaE/O2V/3+RN+4R9+6pCbm7xXP J/TL7tdct0s8z/QbFVHn64q3aRyWi/5a9a2gvwqvKv3i6nh+1W0uc/3Ey39A L3WeqvoxF/STeJ7px9W/k/VupuJK5e2r9E8rNb+ZVOpc0Z+J3qF3JynPDYqf UnoPpX+o9O8V9zT9X62b00WvV55vS5HnNtFrXT/tHKa0MQqt9bxazz9R/Jji 75TWXeHvqucJ1d/NdBPFl6RjLzZWfLFCO/aX4rEKbUXXV5/7uZ+HKB7NvlD6 o6r330o7RuP3f6qzP9+r5yrlH2D661K0tU55Gyi+SKGNyv5Wz50UX614nsrO VzhMY3Ws3l+q0FHvmiser3Ci6N8pX2fF1yo+WmkTFDro+dlMjMlHaitTF+O5 SXlS6sMZTl+oeIFCSyW30Bz30LxeXozn+XyL4mmZyHOQ6Rsz8a5pdZQnb4es 5l303aK/0L5bwR4U/WPV+TPlW6VvXZmO9O1KH6s2+qofB5Qi//61Uf5Y5T9F +Vcqfbb3C2vyeKX3VPoUlXtC39BF3zdL8WvqyzleM6+I7i16t+h0XaRvVJ7n lX6m6I+VXk/19XGelqrzdNV5leqsqouydyh/hfKc5fyPeZ3cpHg/pfdS+idK T9VFnRuUXk/02aJvF/1iJmjy5Oti3jcX/rf/V3mP3+S9f67CBIXxCscpdFP4 mcJk8aspCttE91O41Pn6Ou84hT4Kl7AXFc5xGs8TKKt4iEITtVNPY9tA3zlQ z5crXKbQ2+XGKvRXmOg23taYvCS+MUlj8o7ol0VfUYxxGqW6DlaeN5X+otIv hV8Wg+8tUjxK35lljhWPVsiLXqP4QoWc6FWKB7h92uumOs+ribpG6l1GeZYp Plz9vVDph5C3GHkmKm6q9DE1sReaib5I9I9EHyF6tOhDRX+kvv1V9c1U/sEV MQ6TFc5zPElhmMI18G+FlpqvKxVfoNDV+QY57wKF+fQhCXqKy5M2z98xFz5q fs98wvNPVxilMFLhY9U/U+UvT2Ls57nMV1ofsz0OPZ13hMIZChe6fHeF4e7v +6pnuuoYl8T6GOo+n6UwRmG0wgfKM0PvL1Xo5bm9yN8zyXN/SRLr4jSFU71G GKczXQdtn+I0xqKH+0U/znZ9Y7xOh7kfH3rMe0vm/kPzt0XzeL3G/wPR20Tf KLpxbcwTc3RbOp6hG5SC/pHij8VDPlG4RturUW2sA9bA2nQ8Q68W3UB0VvS6 mpB/yBHK7XbZburHT7W2DlSdP3edU5V+WCnqOVTxL5yf9/vrOcN86jsOMC+C dyHvkeusldVu6zPP9TTP9/Ji7OXPVPaC6pDZyOtjFVfVBs+k3FqXrVNbBym9 pLhFPnjon0vR7oEKO6qCD9KHJSq7NYn8J1dH2gHOgw5VWRs6T0Up9vgxqu+e YrT1rfqzQOlr+BbFn+j5beX9RHPSLx99PUT86clC6E7PKO6Rj32+Wvn/ovxP Kf8YZIHqGK86G6v/0/TcSPHRyvOhytyF3qm0FsozTnkOZ42rnjP0fLby3KB3 DZXWXPR1ohuIbir6n6r/PdX/qeo4QumJyr6m9HGi+4u+RHF71XOM+tND9POF 0H17KU9rpTdX+s+U3iET64A1gO6IDnmU3nevjnpeUBubNYbZ2tCFT9G7ror/ qrxNVT6NniP6p0o/Velvim6m9BqlvyF6t/q5S3XsVvtHKb1W6X9Set+8x1Pv ixrHgRqHbcpTrfeD0Dm1v3epb+8o7BF9XjroWmSG1tx6hb/p+eIk4rGKxyi8 LXp0EvW9JbpG8V8yoUOgM6xVuTUKf9Xzbdlog/qRM+RJK16djTLkT7v88CTa Jj/t3K/xeEBhEOOr+EGFyfqeI1R2YCbsi6WKl2Vivvsr7kc/KmJ/LxG92Xoc c8D4j0qiXyMV35mO8uWyAxR2qc6XS6H/bNVYzU2irdlq9/3qyEf9K6qirWGO +7ssPOZ40UcggzIxPowzY8Qz7fPtqxT+rOc7FP9d8b8qg749G3z0jUzol+hs i5V2q8IfrCOgK1Qqfi4TNDoAPIDxgg+MT6IO+DDjRzo6f78k6jg3CZ0L3ate OuQhfaAc8T/cH9bAu6K/qIz4PdPIyQ9FT0xCHr7rNcJcr8vG+mAu+b5hSayH Nz0OlEEGwP83ZaOeL5W+RfTmbMgi0jdmI9+kJNKQTeT9yPmR25/4fSd9WwvR nSti7Ft4/O/PxnMT0X+AfzJepdCHc5nQiV8qBf1iKfSumkzoXjtLQT9bCl2r KhP61tN6TkQ/pXi7npdngp9gF1A/tsFDXqv/qgh9jPzoZOi0lZnQa39fijqf UPxYKdJ3KF6gPj+TCb3313pOiX6kFPo/NDYA7591Htpf4T7U87teScg09sVW xb9V+f1E/0bxQ9RF/0phm5COfZKrifT9zde/sHxBF/7Cei/fxLdh27KvFmWC V2403V70HaIXir49HWGB6HYVsdfoawfRs9hPmZCVa9Lx3BpZabosT8nDe/R4 9PmDU6ELtbI+NNS6ETrGVu/lEyviPelXVQT/a2WauLXLLtI4L1TYmYl25yhu o/T16bBn2laEPTHNdsTiTPAT5MRmP59QEd99q8dhUzpoxmO96zzUfVvssnwH dSJz0THmun3GiXFDV6TcXJfd6Hekb0iHnbXefHegefg5SXxHnyS+6znzBOay kea1QvEt4mXtFf9G8QyFtqJ/jU0meXGZxminZMQ0Pbdm/RbimfQ+orsWQ1d4 QWmvKPxK6T9V2ix4sdJrZXu8qPRf6PkUdOF82N6HSea8lgtcp3sx9Hzyow+g FzQ1fU423qH/ozuzhtCf+dYNphkb0hkHxpixLo/5RqcfZ13l1GLkvd1ly/PK nNJmE7fLM3lYn6+Uwu59SP09Us+rlN6sIuxR+AV8GF1+k9tibTAmzOP1GqOW er6/EHu7iM6fjn1VQOdPx/6vQ/dIBx8piW6YDtsbG3wOdl4xcLCexdAh6QM6 3yOq92vlOboYvGl/xtGyGpmNbD1G5buAd+g76uoifXsh+NEByt80HTL/YNHH pEO+HST6qHToNOg2j+RiTaEfsK7QOdA9fq30q1TXj/Xu3kLoHOgej+ZCpjNu yPE/lqLsw7nQP9BDfpMLPnug6Gbp6Bdt0Wd4WR57TfFU1dtC8S8L8Z187+xc zA3zC2/BfmI9HOq9sN50leKX2Q9J2LXYt/XhB1pXSxReygRNHmzqv2mdrAB3 K4U9jU1OHcuNUYBV3J0O/g5fpV7qGJAEr73L6fQBDPMw6/YfW4ennVfc1nKl LVN4NRNy/IVM2N2k/zETmEB1OmiwVN6/6DysPXSAJB3fwztk+Inmp/BSylD3 eUlgCWAN1HcBeKfo85Oo+zW3RV3oFrxfqT6syEY+6Desb/B91I9ehAzZZpoY XgYfw/aFf8Gr4dNrTZf5eBvrYJu9T8m7znnoJ/KS/mCvUxabHaxltdd8e/NZ eGwrywnqhi/e5nk/KRv5s5YXa1xPWTeCL67KxFxiF2Af3GsaO+BuzyNp9zgd Hr/F33iCeTfjzVizHjrSl0yUQcdAH0M/gN+yltAhmHfyUSe6CWsSPYA5BUtD loPdoYOhEyDHwQKRx+CEPdXvx9RGjyQwVfBU7Dz0OPS8fbpcJvRN9M/pCsMV kvqBFwy13XuxnqsV/mzbEMwUHbhtVWCdf2IcqgNDxe67RGk1CnsqQj8Dozm/ Ing6vP2lXNhqYNbg5AuSkAHdqgI/+0NVzMWAmsBNsGtKev5Gn7lX4a2qmFv4 a17hS6V9lYr3bym8jXxX+oEKB3neiZlTxuPKJMakUBHlvk6FfjlU4Z1U6PQj FL5NRV+oP6e8xYrISztgfPS1u3jAFPWzP/ZUVazhWdY34O3IfDBDQk+FHgpP uo/0FfmHHHwVvp1EHnDIpxR2OR/8+BnleVP0IOV5WvE9qdiv1yWxZ+n7Xpdp K3pLVeBp4Is7/Q3glU+77iFJ5OW5od7vB79irLCxwWVFHy66nugdFYFtg7mD b4+ujnMScPVFxuDBwL9Q+m6VeU30W6KHiH5cdPckvgm968LqOIt5gHVSHbj9 HyuizK8VHlX4p9I/VPqD7F3F5yPn60e+R5zvdef9jUILhf0VDvC+nmNd6Hin HWhZv8g6FdgWmA94EHgPuE9P6wnzrBdtqY3xespjdLfHfJvSt9YGXsC4D/K5 FZhRd9eFjrvkB2Wgl6aC7/dXWJYKDIw2T/c+A+cCZxrltDI2Rnym+wtWBY4F JgUWBkYFzgXWCe4FtnmSwk8qYr086TU2xOVOc96TFbp4b3dzv8G/uroN7D2w s5+63i5+N9p9oW0wa9bWqfnQFVijXfIhJ1hbz3hfvek+7PVaZs2hgy2wbo9O NzwVWBZyb0QqZB86aG+FkaKPqYi9yv472nueZ7CDCxXqRB/r9/AJ+HnnbOg9 nbKxd5srHFURNOWRVdcn0d8R3pfsvbP1fBZ2rejRxbBb3ioEdjbV87jTe/Er f9OTP9iv5fXyfDZwN/Crnt7/7AH4X0u3x74n5vvPSGL/t06FXd0Xnu1ziYNd Fp7FXjokFXjsAM/n2x7fMv/7xmN/VRLnP3wLZ4JTqgL32FsZuOwm9kdd6GZN 9K0H1YWu1Vz0gXWhmx0pemoSZ0Gs26FVIQ/g7d9UBh68USGVDf0WXeO7TMhl 5HM750d2fFsZmPBmhdsVblGYpbClItLBmrc6BoO+TWGGwkz2SHVgaCu87yl/ R0WcMdygcKPCfzIhN5Gf613u5oo4l5ymcJPL0CZ49DqF6W5jg/PSp7XOyzvO JTifWGi+s8Ftf5sJWYxMPlXvt1fF+O7WHjgF3CQfNhNyGrupfVXIRcbtYZ8X cG7wgM8LODeAl59QP/bOz31GwFnBnkzIeur6VybkO3Ie/JvzmitU530+j+Bc 4tokzvHgS99kQq9Av/gqE3oC+gJrn/O0d5R0UxL6Kvsd3J3zR+T1zUmcPSFH wE05e+YseVoSZ3Y/VvoHmpd/VMe3gf1z/shY3ZjE2R17E3nLOSFr+5okzhJZ 2/+mn6wthRuSOMdD5l6dxNkge/8/lbG+4PMPe00wty3Vj/9Wxhr+kejvKmNd bayKNfRYRdju8NarvKY4FyifdRBP8bq73O84p2BfsaZ3VwcWih4ED4Cnb08F fsQZCWPOHrrM5VlPnClxxgE2xp5hHy+xDEAW/MIY/BLzumu89+Fz8Bb4EPYB 84es+H0m9jC8AZmDTILXgMlz7g72/nQmxqvMt0aYjyFn7jG/6uG6aQu+stQ8 FrwbOfZ/ubD7mRv47oDqwDsYN/RGznnA/+83hrrvjMB7jn31gPcY+2alwvXe k+wfzmU4e/u+Mvb5Du+ti/zuQZdjLw6rjv2Mz8Ajnmf2G2f31I8PwEPOyzrg jJF+cGb6mcq+XxXtv2n+B3+e4fYvMT8gHue9Tsz5ImOJPB5l3jDBc4mOjL6M 3rzC+a73dyMLx/iZcshqxgWZOtzjMsbfyfiNcBs3OC/lpzrvCPOd8W7750ms P8aadYkMLp/pEQ92H/j2Ve7DSveRb0Y2IuPgB+O9t280tgDGcJ1tZGzla2yP Y5df5j3AGkbmls/N4E8TzRfgSRd7/4Oxj/E+P9p50R8uSqIsMhm5i+6ADtG0 InQTdBR095P9jP6GDoIuAvZ2p20ldHh0JHQq9uQ3Pkf8lfbOfdnAaVdnAqfF PuJsAV7G+cLKTNhN2E9HuV/043jXR3vN3C/6QXnOpzlznm78ChxrtseE9tnv e02DkfayfE1sJ8O74SffWr5eAK5l3bWRbSVsp01OYy/gH0I6fjvgK0emA2M5 ryrKoJe3UdzauvhgxY1Ng4XgGwEeApaDDwd4Ducgw83fwWbwkzjKtn8/81/w G3wswHCQRZMsS+7wOMNzbza+B84H5oRfCLgTuBQ+HGBTYASDLW/AovAXAY8C BxlovQE7+hzzdM4vRpnXd/R4c57PXPbzHDD3nPf39vpAz+nvuWIvDPReZL3D A/f3GsKn4ADPMc+cHyCr0BOLXo+sa2wzbELsQXgDPAJedaDXHOXRK8mPPllw Odb4WOeFh5V5ygzv9Wnel6O8J6/zXr/Bz+O9z+E9yCVkCzwWXsM6g/cssI0C XjXSdZT5BzE8o8y/aHu40+A9F7lf9GOC66O90e4X/Sjbw3znPOvg4JezbDOB jdA2tgV6PvhJLz+Du283XnSy54G5WezzAXCOfraDOStp6zqwGdo4xp45yfPJ fLd2GjZPB6+FPu4jaez/E7wW6Af6Z5OqwCOwucEC4Cvo+vAUcAF0f/R+9jdn dOgi2PR5zyH8YI7tPPqFXQhGxLfiE4RPCGuhu7EH1hfypOi1gG8OviKMJTgB awT9G6wC/w7WIDo46ZTJuc3mnut+/v6zCqE7LZKuOMnfBW5yhseFvnH2hW4E PoENn3d95TFt63Fq5TI9vH7LvLOl37HP2G/wOXTRplWBt/fyHDPG8MQWLn+W 62YtoG9jb5dtdGJscXAC0tHN8KO80Hb7r5Kw4cEJGppXgRGhp6EHgDNg04MP /MVrq537AW6B7oYOd7j5JLYD+AMYAzrgstrQGcE5WplHwlfBIsAk0BEecR/B K0paC8VsnJef43XW0eusjMmxjn/idc38dPY6Bcdb7PUxzuuz7JdEDL+6xHXx bqzXKet1oueZurtW/M8GneBytHOx81L+Io8F5eF1zVzmFJc72n1kvbPWwQ9X W85xRolcRBYie+FXx7qdTv4e5OtxnuPennO+H2xzpfc2uPRyy+BT3SZ1gd8u 9T4/2e3TP2Qt8h5bAJnc1OOGryu+rPi7fqRxn1MVZ9/YgontIM408FPkXAPe hC6DHoOe+L31eXB9fA3B9tED0fXQe9AH0TvRCdED73P527xGWAOD1F4D2wbo mA+6zMyasCfRF3+ZhO6I7tna63OH1zT2BTgY9lxX20KXus79jJGxB8iLvNxr e6Sd5T7fOcJ7DRpbhr10h/PzDD3bZ2qcrU3g3N99ftR5qH+T+0M53n/r8Xnd fWD9r/N3853YqJRnv673fmBcsI92eIxX20+HOlq6zd/6O2gHPWc/9etM22/f lPtbEToLGDDtrqoJLA/sD1sX3Lml3j+QBCYINgyuDMb8RUX4UuPHDUbY1rwc /WeidRuev/VYokfNc3/53jJGwPMMzzff/Wkm7FXs9Q3+7kc8ZuX5ucXjwvuZ HhfKT/N6Yl3N8vyQb7rrZu3c7HKUuclplAEboD/YlC28H8Hz8SnYnYnzJzD+ Nd6npPFun/2fhH7C3sEfAb8EdO2OmfAzwd8E+Yyc5mzoXx5L5ozxXOkxhY+u MC/FbwJ9nnpXOA/p85Kw30+rH1g7NGeX4P/kwxcFn3FwIs7lF+TClsenGD8O /DmwJ/DdwE9jn/9iNnRVcAv8dNAly7L2RuNy+ANwfsx6wFcFPRR5VmfegLyD h9xkvHGYsQBwAGQieTgj4HypmXEL+kc/wbL+XQpM5D+KvykFVrK3FHLhUu9T xhE9m3No6qQ+1htrjTWHbGprmrU32VgOa3VrVcgkcGzGbJbHsInrop5uTkee zkmCz00xD5juvc99Ae4KwAcftO/DZH/fJMt9cJYtxi+wETZb/p1vGrlIvMn0 RtM7nH/jD2QnNHsEnyN8j971Gc9kf9dpSeBW9PW7UmBD3yuen8Q7+jnc/Wf9 7PuuJO4UEM8xnsiaxb8G+/AK7z/wn88ysSdJw07AXkD/x4YkL/gS8aWmwWIm GFchgLGQxrkrNs21zkce8OyrXS91sjbxU8LWXeCy9AFMhHwjjSeDb4A7dbc8 4ewMbAWMZR9Gmo108KrxWvcnKh5XCJzqgHRgVWA6YDtgofhSYQ/xPD8b/aG9 xjWB/bHu8Q3BHrrGmA7fca+xXNoBE8MHA78mbKMzbFft81c3f+GbuqTjPXYT 5/X4tmF/g0fN9Pfi94S9NtPzAD9kTW3NhnzhGb85fOSwEU+2rYidiI8emAD7 sGs66sau/0k67Fts27med9YAMhvZjf3LecF0zw/zOcPzCJ/D5wrbEl5yhfu5 1d9F3y71XYUlubA/JyX/m//LnX+SadLx52pt7BMfNzCNfW0nwRveSUUf53pt c0YDf3omFePN/CLLKuoCG91P8fhinDVOUPz3XPhnXCv63VycT18t+r1c+A1c I7qyLvDf+oqr6wJ3TupCzo/w/prnPQReih472Hrw+7nwTZlaDP5DOvptTV3g 5rWKt1UF3xliDOA886jhrr+sVwx3W+hUQ827vsrFHZgtxcCkuzkP/Io86F0r LS/gBz3sCznM/OoC73fi802vdFvQDbJRlr5tcx54zvkuC79CP0GPQX7vycXd hnXFuGeFnXBHMewq7CVspRVJnCVh33DeeqrpPxbirhZ3tq4sht3F3YiLCyE/ LimErUY6thjnMvi7gv/h20o9p8m2mlwMu447Hw1rw1e2u2010rH1snVxhpGr C59rznY5g8avGv/qn+XDfhlkPampxxaev7IYOuWqYuiG5MHGaei5QwahF6yx bvBBLnwIZhTD1xkMdt9ZXVW0hQ17cj7S8U2eXYwz5jmKP83Ffaqlov+aC18H 7pewthp7nUz3XDJf+BRzzgT2i08w523gzkO8xpBrm3LBs05UPR2L4dvUqRg6 4QR/L/W3tqxBR27tb1yYxPk9aw2dsK1lIu/b/GAc2nj9o6sim9/wmtnmtYSP M2djYNVbnf5YWR6aZmyR6eio+AxxPsU5FX5FnGFxloWfEGdYnGXhh4SP0P51 4Y+Ff1GhLuTWdu8LfIzwNSrVhe80Y8SZ3S+z4b+4w/uqib+L9lu5D4xNS69z 5vxH/l7Gq4HzMPcNnM64kQc9drD5AnufPXO4x7ba81hOP8I066ih57fG/dlj 3aOpvwW+0NTp6L0t3Ycq44+UbeN6fme+0c78hHbauS30oLbOj58dug26Yv9C 6DDcg7yrGHr/9mK02d7t/jsXPur3FuPbG3mu0eeP91hhi7f33vnO6YwJcvhQ y5S52aBJ62kbEZ+WUdYv0Q/7GivF/weZBlYy3NjiKOcBgxlhXXSEy0Lj38rZ CRgu995OSgeGybsLjelwB65zOjBM9APOVzhboczZ1hnGpUNGIh+R4eBN5bZp D1wI+dPUeYiPNI3PxjDnHW76HZ/lDnU6vlSv28/qHadzzozMHu60SYXAftfk ou+jbVNcYLmI7BvpcybOgY71N5IHuxf7F7u7TS58guqrvvdsn8EfGqHDZMNm 61kbMgOfobutV6IPdM6Fn/J3+ciLnKA8OtN7rqdXbejB4AH4yOPrji88+MwH PkPkvm0rl0H/4j22yWCVPa82cCX89mcYVzhXaX1r47yEe4qd0oFvgz2RF1u4 v973q43v5M7iidYB0IfQi7DrOWuhDjBZbCzsVnAudCl0KvSX8daZGHvuL3a0 /sk9yw5et8PUztDaKI/uTR/RQ8Z4XlhflxUCJ1+RCzvpGOtaYOR9rK+28fNI n+H1tc451fN4reM+pvtaNyUP9tNR1hXxX9tpHzb89/AZAq/v5/yUZbz6me5v PRUdtVzvVJ9h9nc6Pi/neV1NLsR6XpcLv4dBTsdXE3sNP8DBzk/Zcnnqw3eU fuLzia8jZ5+cGQx0H/gWdLpmHnPi5qanFIJen4v9MMR7gb060GWp+2iPAzr6 4d7LlxfiLGNVLsZ9jOdlou+mLsuFjVu+s4Jdij8MuBp1NHY9+OLyjD8eewkc jL2Frt/Q6xAfXWj8+ogbOX2Zx5O5RZfnrGKM27jIbV7hO66358LnlnWCPy3+ m5wx9/NY8+2MPTzlgh+kne8x4azuYu934rHJ//o71m3hD4ydhc8hcRPzQ+yV I0x/ko99eqviPtxB1jo/qxT7FhwbucTe2s/7C1sSPRh7GR9ZfGXnlwK3vysJ feegUtD/zYfOdWcSOmCrXJwl3Cw5ki0E5tEpF/u7vscQnXFbEnof2Ah4E3sX HgQv6l2KfwnAp/bxqHScSzF3a/NR5oJS2MELrcMQL3Kf8b1lXVJmgfOQTj6e y3b/Aqef5rLUhzyp9rjhM8ve4xk/XHg6NhX557vsPNPYDPjtMsd85x8K0f+j 1d/PqwOvHGa++qX5JL71YBsLS5G21+kra8N2BSsf4LOGj/PhmwKm+c982Mzj vAYmFAJrvVXjfE4heO/CfNhMh3hOwUDoK3YNvH+ux7amENh7B/uPc5cPH7T+ /g/DBu6o5gP3GKJ4T3WcE8CnqwuB356QC9mDDGorulchvufsQpyR0H++g7uD 6GroZtyRfzITa+5c3/VbobYG+e7AncW45/54JrBJbPIK41F7lCfF2lRbn+dD DnDfmn8l8H39ClE3fhhgoPhd4X91sHWBs82fGRfeY8uzR481P7+yEPTGXLw/ w3naek6QiSNcF/UgJ1g76KfYt9i52MT71qPXCTg05bGdh5gvYXejl+A/hk6C HOplmvvxXcq4QT7m9LN8/NMC2wpZy9jgFwtuuw+PTAfPYIx6/uC7e7j/p/tb TrdfWnen93Qe8pfz8R77HDsd7Ad9vq2/nTFob3ql1/fAUtxFQ25VWq7Ws2zF tluehH03MRf3ipoqXu31NLgUa3+N1z+yd733FLYgdiZ2JXK70rL7M48J6527 UOiFtIfPxPjyvkgC17jC4z3OY97bGBFYEfPCnmI9oS+Rjt5CPxhjdCEwpC/9 zdzJ5Hu65mN+F5pvcLbV1fWAxbRwX/gG1gBrBLqz9+Ai33vl/msXrw/WBuPU xbbwP3Lhpz69GHoe5x6cnaOrgtuig4Czcbdht+9y3ub7d7QPNsR9PeQhNP0C ZybPHuveq30PEUyYOwno5Oit4LbIcGQx+O+++x2ZyIMugj68zPlfdfnrvAbX uX76Ac3aZH/RZ+QgNsK8bNgFYGZgcOBm2ApznQ7vAtcD62Mfk45Nge5PfvA6 9jj1/N7zz925pz02a90Wuv1a30VFJiz1fRBk4xKPG3uItsCZ0FX4dvQf0ua4 D4wR44COxvuVzsP9g5Pss8r5NTT4A1gLujRrqU827jhxv4n7iAdm45z9K839 5+gPrGH7vmadv3c27Kxyvc1sf/X2eSh+Zfg0b0+FrdfH+Ttm4x3pYLnUz/0i MDxw3X3/a8jGO9Kfy0ZZ+nZ3Ie7ncH+IO1L0mbr57tVeA6yjDV5XdxbivhB3 i7cU4i4Q/5Po7XNb+oMuwPdyL7YuGzbDobYd6mw/FJ2OPoJ9WTSNvGWcX7cc YC4e8/wv8JpBRwarRXdbmQvd7kmN62nFwCa4h32b7yC9oPS1ubA/nysFvkIe sItuxcBcuM+NDzB4AnjLvbnAVZcU4n4297N4tygXePTDqmdpLvDf34lenAu7 91HRy3OhRz4uenUudLVnSoHl0BbYzgL/m4J/VDyTDR0KPwH+Z4Gvwq5c3Fnk 7iK+fchnsKfyvQJifIfB0ciPbwy4GPgaafwjA/qtXNhI+Ebiu8Ide+prWQrd DT5L2/hMgPGB7xHA2qgPfQu9a10+/sfEXYD2pbDT8B3gfHZzMf7bs7EYcoC7 iOX5gUaXRv8Ff0evx/4YZ5t6ZSHkDP/RAT/bap9JAv6TT6VibfMPF57Zw+xf 9Fz084WuH72e+tHtiRebRi+Dpv2l/ncN/7CBv7NPwbKwGzkLxf/gHO8L1v+S YvzX6NZi8F/8mfFfOikfsgyZxvczJpxrry3GP2FWF+PfAeRvXYp6uTeBb8OG XNhR3DW/w3bCq6XA0rjDiK85/1yA5l4j+3Sn9z//S6KeDnr/bCH27k7msxD/ r9lVCH6BLw1+CNj1jcyL4D/4HHDmyfc95zp3ZcMPAb4En+DsATsbexi7mHHh TICzCmzrnS5L28i+5fbtIOYZObjC6dDrrLfnLHPJgz6B7j/Mdjf2OvVz9kq8 xTRnVdwJ57wKbA+Mb99/J7LBy+Bj9P/tbPgy4K9LHvRM/CdIw7eBb+YbSQM/ 2OqynHfQFt/HOQVtccccPW6jac4suJ/PvXjOraDf9xkaedD7enuO4G+73Q94 CG3e77FlTtjn7PFelmfoo+i2j1uXg89B/933wp6ynoy8g0Y+wv/mW96Rf7Z5 I74g+ISU75+BX3cyTTp33Lj3tsp5ueuH78idfr/KeZCrT7qtctvowgTkLXok 57HcBQNfnVeKeUY358yW9Mv8fo3pW0tR5rlc8JpnLO9YIyu9fkh71umMwRMe B3zon7AtQN/mWu4zb8wf64S7mE19H7Oz6+nktfALrxnkHmuGNc4ccW8T3250 6u61gZWBUYF5fWSbGRn1QiGwMzA0zlweNJ6GvXpGKcqOLUQ7z3vewbHAvuCP YFhgWehwq6wzJ8jMUqRPgQeUIv8VubAX+xv7op2e5bZM7zKmd7rT6TP42rvG r6A/MhbH3ue7CPCCMs9raJ4AT4W3bjev5fnuVPjOd3D6WcYN5ubDJrjdewG8 BX3gbx7XrR7bZ73OGX/wObA+ZM+5paAn58Jf+lxjgMjU571nj6+N/7mU1+rx po/HP0B0C8V98uHvPlc8tp2e28FPSrGej6uNe53ELcp0Ker5cSnWAXMOhjOk FPztSu422h6pLcTe5huxgfiPDPdfJ+XCJ4Q+cB6EjOpoeXRsKdo7RnFnhQ6i O5Xivnjz2rgD+7b5LHyAcyf6PNT29GBjpGDzlMUv5z7zNHyzmpSiniNKwU92 mdfhs/m26+TO+5G1cT+9cSnow0thq3JvAX2DtGbOw/9uuOd6eS7wGOwaMBnk EPLoLu6P+xz9XP4tU4o7wPwzCZ0O3W6fHpsPu/7rfNhyjCFjCaYAtrBJc9Ss FPdq+ffSnbnAdBZYjmHvIxP5HxZ6Iv9qQt4wBshM/iNAHrCB143zIqvRfdCF 0BHAWcBbvs9H35Bz1MV/gvhfEP9Ra1WKNcPaYS1CowuBY3F+t88n1fbphcUY d9KOtG5FPehX24xnzS/E3sZ/EvnPd4OL8M23FGNuPlbeeoVY65WF8PMabXx7 lXF8bLtZxRhP8DPKgbXR/uZcYHNzCvEvJHAS8JJ5ubCXP82HfkE6OslducCw FhZiXVAX9WA/M7fcMwCvAbdZUww+RB/us33JekTHwZ7nHbxqSy7s+bmq8yP/ t4r/V71SCL7zaiH++dfV+MnWXNjq88CE/E/Ml0XfkwtMY3Eh/u8JvgTOhN4E je50QinGcyBzVAqfqndK8Y9L7nMsVp/vzgWef2sh/KcHGf8/0nuEvdLWZyLz OU/PxVnPIuX/f+/wqbY= "]], PolygonBox[CompressedData[" 1:eJwtmHm8TuUWx7fhnPe85xz73Xu/SsOlzDIllYxJypgIIRrUvRUhoVDd3IrM U4bMUzJPkWi6zWlGqjtWqGQomckQ9/u7v/5Yn71+z1rPeob9PGt4yt7Tt/2D RYMg6F4kCIrzPZQEwY+FQVCYDoIXoyA4EAbB0PwgeBp6Lg6C12m7CtkJlF+D vwfKB18HrUb3z+AC+CbQGvBBaBh970oFQadMEMwFV0R2Hm21sXcp41UsCIKF tO2SbfDV4OHIZyB/DRwwn7OaD33rg3tjqx46DeG70acYsnrQEuTz6DOWvuOh o+DnocuQlQJfhewFcDXwBeCrwe9hIxf7RcAvITsM3g0ugc5L2J6EzhBkT0K/ ht4D7YXWpLU9hk6DnCCojv7j8Efov4/+IXgDeCh0LfLa4GHwbyBvBV8UnTfh u0CdWcu6POaB/F3wzWnP6f3Ea9Ba7mXNXdi/VyLbOsb+b4SP0TmP/pPZpkbI 24JvAu9Afwy4HbgN+AfwBPAj2OsIvhXqhOxlbNTC3lHsrYdfxPq+4CxMYszF 8N1py0N+LbSSvnWh9cjHIZ+P/BA2r2fu17HGg/CP0taasb7IDYKd6A4EtwJv BW8HHwndV/9I/2oA1BL5FuTfItvOnOqx9vrQDvgOUDvm+gzjb4s8Z839RcYs Bp5N/5eYz0jszYH/e+K9PYf+WuztR2dH7h9rRnY3OI2sMbQK+VZoLfLKzOEG +t+JPBdZQ2g5stn02UDfKYxxJfhJ5I1yvGdPwb+l/YYvzpjvwK+JfBYOs5+r 4ddBNcFHwGvh306sGzDfddofqFOBz4DOwiF09jKfbuCu4MnMaWoRn8Ep8AeQ 78r9ow/yJ8ANczzGEPi7oBR8I2gFtjeD97C2bAnOfJZ5gPfTvzv976D/oNBj 3Q51S0zi17O/aXQHh9a9G7oTWVfaimK7LrQY2XBw4xz7hBHwt0Kn6TtDZ47z 8Cf6lIWfh/wHZBFzyGUtnXVfwR/o/8LnsScfwq9ijbORz4VOY38p+Dn46dBv 4MnozMbeANYwCX5T4r5Fka9HPiWy73kI+jC0T5Fv6YF8F3gic9rFftRljrcg Wwp1SXtO27CVML8U/G36/8heiH0XpkDHZR+6GFkEroHsSvp0T9lnXQ1fmf6f sNelafuY/iugrmnb/Ep3FeoIX8g/LQlfEv08cDedR/kb7F8In6GtOvarMN+L UrYp2xORn5f2HndE/9nId7MP9D6ySZHP9oPQB/IdjDGduQX8o3Hw/6VtE3vX GJs9sT+HtleQH2U+DZHtpP+stOf4DfhTzRdcyB5/Dv8R1B6cD/4E/uPEfDH0 X0b/S/kH7FfFfnP9S3B59EsivwL8k3wMuCf4J2Tfg+eA7wV/D/4utK+QT3gE /TrY3wO+D3wNfJ/I/247eDR7MyHyXe0Fvav/G/ns94be03mJHJv6QpvAR7Gx n/lmwK8iGy//Df8A9A7yMZHP9v3Qm8LMYSBz+5Y5jIQfh7y+5g+9jXxs5NjT A3oL/CN4gfrT50dwC+bYjLmWZo8vYOwtUMj4Ocg3It8R2lfKRw7GfoPEsW0m 8hXgPOwdTNnHpeBHRfa1dRhjNPyr6LdIO0a+Dn8H4/VL+Z/q316DjZLIz4Jf AY9F3hq+FdRG+tjISXsPljGXjYl1Q8avRt8HkLcAj0D+FfzOxL55nHwM8ttp K572nixVfIRKw8f0r6n/p7YiziGmgfehv0rnFbwb2c/gNTqv4D3gEHyU+R+g Twn4+bRVRn4+8ivl3yOv/TT+9A3lGtDhlGNWPvwtic+y1tge/mH6XwJeRp8q ugusv2vKPl2+fXxs3/4Y9ifEPlM6W1rzTchnxY4to6HDoWOqYmsX9mAv8qaK f+DpnMm98NeJwNPAe+A3o9Mp7X++Fb4WtJ3/3QWdK+BHhI4NyrmUe80El0U/ y3i1GPvn0GevE/qjwLWVn+Xa58j3tGOMcsz/CuZ7udan9dI/of/l6NdMLNMe a6/bol9LulANZJ8lvtvF0d8Qek1am3zkTnT7YqMLss2M2Qu+KvIa9F2Bvb3Y O4HOYtZ6Pm3Xwn9H23RkM6Dt8N+hX7vQa+6IvHrisXUGdBZupq1mgW1WQ/Zv 2iYgmwj9B74Z8huZywrGKJU4pii2TIPGaP9i78032N/H/EeGzmWUwymX0x3T XQvwnyWyPpM6m4rZU0PvkfZKOde00HuuvVdMmgFeHDlWKWdQ7tAUeYWUc4Yt oX2afJt84izwR4qZ8H9B/mHkPdXenmU++Yzfm7as/Cd3uA38XKg5+BJ06sTO CZQbHFfOy/znIW+ZdsxV7FVOo9zmKPLTyOfT1jrtHFi5sHywfPEZ5CnGW0Bb m7TvqO6qYqRi5Sn986x9knyTfL58/2blx/n+B/oXLZjTRtZyDW2t4c8gfzTt NX6g+5bx3usM6izqjuqu6szPC53jK9dXDJkDbhk7Nsjm1+BmsXMvxYxt4AWx c135/GOhc3bl7orRC0L7ZPlmxci+jN+KMS9l/pdAFyeOgYqFqjEeiRwDFAsU gx6Wfuy1lEA/L3HMUOzQnRsQuQZQLfCbagL2Zzn6vZjPL8znJLKLEo+lmKXY tSxyrqAaSLXQqNC5uWoA1QIrI8d21USqjabHroV0hw8pv4wci1QjzIJ/Xnc0 bZ8s39w/dK6gO7CPtfZQPMD2AegY9seE9oVqO67aCPudmX8Z5nih/Fto3z0S +lq5cOS7uZJjdhmyfuh3Q7859muEvuO667LRB/6f6I9Gfz737yPVO7Tdl+89 1943EdF3GfLT8PfFrkXkA+6PHSMUK/pjs2HsMTSWfMqD4H8ofud5jH9prNC1 pWK0YvXjsWNpOcZrjf0ByMuwH0vQr5TYR8hX6E7WRD4VGg4eCm2NXOOp1lMO tpC+NyBviu5yxjyTcQ6kXKgU9rOJcwDlAvKh/SPneMr1VLNNDp2TKTdTzH0W vEg5b9o1kmqlmZFrP9UIM5Q/Qh3SzsmVm0+PXFsqZ58G/1zkWls15NTINZ3O TwFjVGGshbpjadckqk1Uo8m/5SOvFDvnUO6hnPQhZJMzXvvT0JbI/1z/fjbr HYduknitS8GnMq5JFH/S2KsQ24fLl6umVG2pHEe5jmJ6P3R7QoPynPNPCF3j qNZRDluO/m01/zznqMpVPwUPSdvn9VK+hf1BabdJVpC1b9QepeFzsvZNugPF 4KfGrr2VQyiXUM6i3EU17riM74DuguakuYVZ+3r9k0L4CvJv9K2MfkXlP6Fz YdWs++nfKbKv1hnsHLlGUq2knLtyxjFcsVxn/Hr4J2LnrpWUP4HHxo7lqjH3 y3fSVrzAPnIT9j6JXAsUo60I4/+ecSzrTFtt9OfGzi1UU6u2XhK71tgGrg/+ W+yzrjUMiR3zFPuU03+Pradi5za6E0/Cn0R+uNAx5QT8rxn/+5PQDvifod0p 14S/aG3oLCv4oyYAn4NW5fkO6S7NjP0Wo5pTtadilmKXbNwc2YfIl8iGbJVL vNfK8ZXrq2ZU7bgBm4W6q4l9gWq4Z+Efil37ywf1hz+XOPYppv2uWj5rX6wY FmS959p7vRmVVS0d+S1AOZ1yuzOJY6Ni5in4obFzFeWATyufzjo2/v9OwX8Z +W1BbySfqZ6KnQuq5p4I/0zs3FQ5k3KnYbFzV+Usyl10x3TXhkFTwF9E5pWD 3w6ulzh26M1Kb1c30VaBvuUVs8ALsTcx3zW/av+64LL5ztmVu6tmUe2iN6xB yMsk7qsaQ7WGzojOyjT6LIv9xqO3Hv3Dz1Wb0FZedxuqr/oiNq8zqrNaMbYv kU9R7qQcRLmI5rBIuXdsXySfpNimGKBYoDcZvc18GroW151+P3LNrdpbb2yD I7/Z6e1OZ/K3xDWpalPl9AMj13yq/fRm1JL5lI/ti+STlBur5lftrxjcLeMc W7m2fPiN8B2gwUWcYyrXvC3jWlF7WjfxmdPZU00xB9mJ0HulNwW9LSimKLbo jaK03m9ivz3oDUpvUdWR5xY4J2oSO2Yodqimqx46h1AuoRz4OLKVsWs3vbHo rUVvKHpLUY0yK+M7r7uvmnI0un+N/TahM6Gz0SB07TOHttXIToXm9Sait5Gq GfsS/VP9W91p3W353HaRfbp8u2qQqqHfFPW2qBpyRsYxWrFaNUu10G8yeptR TP8B/D8QVeBK "]]}]}, {RGBColor[0.9140044391032581, 0.6550110977581454, 0.3334137612201002], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNnHe4VNXVxm87c8u0M3NVlCYktsQWRQRExRJ7ASxYsQAi2I2JImhQsRfs IiBVLCCKIFWK2LEBdpMvKoqxETUWmoB874/13of8sZ+zZp99dt+rvGvtadvr 4uMuqqqoqOhbW1FRrWefpKLiaaVdlXoVKyquUv6zpYqKs0QPED1L9DjRa0Sf U1ZZ0TV1FRVtGysq9i1UVPxF+aOUf40q7at0rtK1fvZTOk+pm1J3pYf17a8q 30/lZ4quUz2/Uz37qJ7zlP+Y2rrO3/VXekxlNii/RarfSml9RcVKfXtXpqLi TqWTVWaqyiSq51vlPym6SvRFomeJrhe9QvQX+YqK5UoL89GXvZU6KF2qMuNV /3KVuU10O5XvKvoCvTtO6XilS5R6KJ2kdKHzTlC6WOlEvzvf4+Obi/yed9ep zudU/1eqs53G+L3oh0Sv03OV+t9bZeZmKyqOrAqacR+r1NXzd4x/M69H+/d/ Vedo9fNHPftUxbdHKV2tOo/Qs5dSg+Zqhspk9bxZ7WzQ2q5Pol/7KHV2/3ju 6zF18rtaffOMvq3Ts5V+VyvVKJ3jdujH6Wp7tsq8rTKXi56str/QuC7R8y3N 8fdqc0pDfPN3pQUa4zW10d/Brosx5fX9LNVTSGO9u3qvbK3fzyl/Gz2LSnNE p/RH6UXRrfU8RukX0RekMfesZ0evQUePp7X7niht62dGqaVSlcd2uNJuSrtX xfzx/JPSavX3Z41jF9ETG6LMYUpXKn9XPQ/1XOyp1M7rwHd7eJ728Du+20Jp S6VbNVdbaQ9fmEY75G3Ft2rncK1PKYk6yGumNE/l+qr8fD076Gy0UT86lmKe 2nsf76XUXKmF+7GNf7d3Xkv3hfq2dp+2drlj/A113KQ+DFTqy9kqxFnjzD2j dKbon7S+c0T3Fv0LfEB0T9E/lmOP7uU2Zyr/bOX/XI4zs5/S/u5ThVKl0rMq 00dl5qYxv2WlRqUJDUHvXBVz3Oi5m6P9c5nmPRU9VmVKev5RaaXy/qv+FlkP 7YVDlHZTauN1rvUcVHq9P9fe/ExpptJTavt09WGKnjcVYiy/19xO1e8zRE9L Y442Vka/D1C9A9TWFUq3s15KhyaxVutVZkNl9Gu1nmsqY77J+01plurqpTpn pzH35FHvR+rHDarnwiTGzXdrK2PMv+q5TunmQsz/9qXYL+TR3nTVdZbyZ6Qx T3zHN7cUYv53VPn79e4g0Q+kwaf29Xp0Mk9oVDpQfRgpQXCd0iR9/7TKP6Hn 1Pqg7xb9pOq8SWXPVj2v1AWPXVwVMgBZMEX7emht0OTfIrpS9PSq4HlTRZ+m 523aEx1EL1f5J1TnDarzTNU5WfSNos8SvUTffKP0tdJrdVEndcM3htQGP9lP ebsr1Ys+SN9ezf5KQ7bAB+GBv6uKvfD7qpA3vJugdndUO0fXaN/XBE+CF8N7 36OvSt8pLVX61v24W/VfpG920Xy+rd8r/O5dl/2P0jt+8i6jfkzTnJ2sNk/N Bi/tpTbqlb9U+acpf6nmvL/yvq0M+jmlfvzOhBxcofw+2eCNF+n3xFLkIye/ 1rtntS7f6JlTnd/reYbqHKsyfVSmo8q8rryZKvOGnl9mIv8t0T9oHLsr/0o9 P9NzmdJRmoe31f7z+Whrd58h5naJ8nor7019+7nqOUP0FNF/5TxmY433Vdsd Re+j50PaQzOVZii1TYIepbQzOobaGabUqxz8HL5+qPr6DLxZ9Dvqy9tK01V+ WCna2pu9nw1ZxvzQn/n5mM9vakMG7aB+tRD9pdLBSfCtQ5WGJiFvrvH6bpPE +r5vXsE4G0TvkMReaK40x+vKelarT/dqrD3U39nOY/2f9V6h3CilWfA8pdFV UY7fL6rPL2RjbA/5/Qz2ktraU+0epOdI53FGkGkb1c8blcZURT+oa677S3uf aEwfK+1ZE3oY+th47eeX62IdOHN99Xut5qNezyfVxqdKf1T6phy6DTrO1knU Oa8q6kCeIctaNoa+h943y2PlHCADyd/Z4yBvifkz3+7icZDH2V+rvJWZkKtj PV+M5y5km/pwoJ6vaH03qExebd2vtELfbNTzFsahMe6vd/dr7S9R2d1U9h3N 5dtK7bU3tlXqpNSxOvgQ46bd97VeicoPRZe0jvVIMfpGGeaZfqHfIsdvq4+2 OteFDju5LvbROM87/W6ZRFttlC7Mx/oMZ782hl6Kfjrec8k3o+pifev13d/T OGtX67m/+vQHvZ+qsdwr+mL0bdHNkvj2YaVWjdE3dPD1ddE/+vZZbawddbb2 uDtUh64Cr2OeWzlvb6VZ9XH2p2rvjlTbh4h+SM9hSgeLfhC5pj5sqbnopTq3 Fr2F6LNFNxPdKPos0eOU3qVNpfFK7yltq/Qw+0epjdJYpXeUWilNUPogiXM/ AHtA63WlnvsrdRbdRc8xevd2EvM6WmmpUgulLdVuCf4iegt0D9E9kU+ii6JP Fz1GczBS6QXOuNYij35ZH/vqxSTW/h6ll5XySveyzyhLvtoerT7cq2dv/Z4C P1cqqJ5cQ+g0d+jdCJUZqufjavc6vT9dc7WV6LL6cKb1sz9kQp8ZJXqJUnPG oDLNMmFLNRe9VSbaaSl6G9HnontrXU/Ren1Sjr3CPhvvfTbWvzknY/x7tnnK GJ+tGT5/7OUZPmvzXAf7Z7Xq/TGn81cOfgAfmG4Z9a55yLc+v01y7G3zNfjS S0nssaVuBx6A3KVtZPGjeveR0u+VHlP6h9J2So8ofaj0O6WJSv+XBE99XOmf Stsn0c4sjwkdblVl6EnvefxzLWuXuH/vO4/x7adzsr3W6LNyjGOOv3nH9fGb ffxUEnJmH429g8aeqwq9Crqo50at9aokZMRf6uNsIg9/U/7KJHjy5crrgO4q eoPyf0mCX12mvD2U/sse0JrmVeep1KP98ZWezyvvCtH/Yc+JHiD6O9Gviv6r 6G/Yo6IvFf2l6IWiLxP9tegXRF8uegV7l/Jqpx16tX5fovx/6/lcIWz0z5Ow 09m/n3kPJ3pXqf4cK7pOdI3o7qJrRVeL7ib6b6qvPTq86CeUPlbaiXVU/VUa Zyrec7HoL5S3QN9N0vNfSehKTyo/ozJbqMwk0TWiy40x38s8579qbX7W3luv 599U5lv2k+ppo/3zg/owQunPmdA70TnRPTvZfh+ZCRv1D16nnfTcXvn9M2EX 8XuE8t9Mgl/ybUfXA89CziHj4B2T3OcjXKZLVfCRid6TZ3r8jB0eN5nzrHSp 5mZXpe9Fj1R6Kwk5OVzpDaWtlKo0nkV6lpXuT4KmnftYZ+eXVaagdk+jvHjJ VapzEPxXvxcnoYN8qPk7Nh9zck4m9Je8+jlM715X2iIJeYQs4t0D+v1aEuPF 5tjR5ZGVN9fFfh+uOf+z2hmh5watwUqtxUY9c1qnjaILjWFr/MP2xjGmC0nY QthE6Ms3ZqIc54Y+fujyH5imz3z3kb9FX12XDz2W8v/MR90/Kf2q9KPrxu5C n1zrfPTJf7g89VP3B6bfN835vbg2dFP0UvRT6Lqq0JeXut1Zrp9xoLd+5rae BrcS35heCuwDWxS+3dt6JDpkB7dHW+jjS62Hj6sNWdq1OvTNJe7z/vmQs92U 7qsNnlUluqY6eCs8tbo68vk9pCpwDTAwsJa2VTHP1zsP3OhHrdlcrd3D6ueD xbCXapT3QxqyfEQpcJk2/n5f14Fdg/2PfQ9OA96xrct1cB74x34uu11V4CKt XY61YT2wC34Gb1Fbk9XWSuWth/cp1VaH/EBvHpCPcaJrZKrD3uHdZ8bN0DGT 6pgD3r2Wxv7fUXvvwdqYl5bVocNQD2XXuS3WEX1hserJ1UXbvMMO2tZlM9bD eNKvhcb0mBNwHL4B61nvb/mN/YAdcb/GdYPnG2zvlqrA78D2HtTeOFppS6Vb nXep5S7f3Kh0c1Xgehf7N3WABV6UD10fvfCmpjzLY9qgPuT6Ta5jvJ+8e9zY JrrkWNdLudHeH7Sd0bt1Or91jZvtTGRgtX6vVX6iZz26qOisnhVKq0VXNYZt MsR1IXtHue6L84GxYn9gm1zncjP9m3ILs2FrY3NfkA88d4TSMw2B8w73nnjP svqJYtgvbdTu2caNsSd+NS/g7PD82fQ85/+7Ms7tcp9rnl+Y7mRdnzXnvK9S WpAPe3at65nvOqlvUC7sBOwKyrGP2Rcr/S17bL3zoXsb60bvft7tLnSfOBtf 6tla+2at9vC2erZUWiW6VSlsO+YP/WrG/8xlG3iNyrQthZ7e2mNort8/K7+F ntVKH4muKcX8rDWf3Eq/v1N+s1LYOq2sz2PPY7+PLgXvaeV6f8kGfwBr+Epp dn1gA3dqjeaIXlwZ+/RG76ULvb/4/YjqHKz9vncpzsQN3if76Pe2aqtTKfjT 9d4b7AfW/sGq0E1aih6UxF6/2fWiH7VQ/sAkzsktfneJzwG/wcIzStvUhP7V vCGwCPBx3g3hTKit9UoldC714zK9f0j93VP0X0WPLoS9cZztwOvT6NMQPV9T mQrVUyqG3Yj9+IDK7y76UtEPiv6T6L+IHiF6lzRsym6FwGVpEz3wCz2XK/Wp Cb1gG/VzQBI6VCvRV3numMPRaeiMrZV/dRLryR6Fr/5dv48xbwH36lQXeuUx 1imYl5PKsY7we3S5Y/2umcrtpT29XHU9rrZW6Lla73dQO2vqAgPrbPmP/Hqy FLj7r4XA4GcZh/93fYyHsbRXmStU9wS3gz4Frxqj/K9U9mflz8jF2M9R+aPc d/hhF+tixf/hleRPy0X94EhgrgvqA3etKcT36DMttSZ3o8+hV8GXc9HeqmzI HTCsU8shB5GH6IrVhSi/Sb/IhCzYS/28XHnjC6HD0UewPHxC4D790rCrsa/v K4RPAt/EFcXA78Dx7lH+XLX/U33gUeg852ZCn7kpjTW+MY3v2Etgo/iH8BP9 pRgyCr8Sch+5ljONLoZOBnaxj3UzdLXB9UGTv1RrNwP5jo9NfZjjfqCD/r0m xnO9+jdFz/56zstFX1fWh4/rNWOh850HpkYZ+NIDNcE//gPmIPo55a8R/Zro ncG11cYsjWNr8btr4Q8a44Jc1EW5A62DY+MOKUR95xainz+7zv1E75sLzL3J z4c8wJ+DrACbPd68psmHdoHl7gmWjbzDX4CvizpOtFzl3THOwzfU3d/Bh/B3 9Pc37TSWv6mPYwvhA4S/nOT3QyzPuvm7pm+uc1/7ur/09Wj/pu+LS7EmW2h9 53p9KjTePsXw09XoORxdtC7WHH8W/i1wZ/xUYE3gjF9pH1TWxLfYrJxVzmkP 80HGOb8uMDKwG/yYW/h8HeW+NPn0eDb5B8GzwXvAqL60bQB+ub8xTPxu+xmz ZZ9+WBc67Kf1gRuCGVZovg5JAhvZPY0yu6XB6+H5f9QYW9eGTbKjMdWDXf7d +sBnwWaxo8kHKzhC9OH5wCWhaQvePiUXeeCq8Iep5ildbR9cqfqfzgUGTd8m 50ImTjem97JxvYPz0S5n8Ilc4MNgy52xi+F9YP56rjLuhn2OHEIGDYYPquwJ en5eH23Bo9Dhu1q20i8wcHjIT+bv8Hb6NsXv8CuwzgcXAusEDwULnZ0PnxD+ IPBrsN7DVOYA5XdRWqxvX9HavZwNLGZ1Gnupv87gRI3tY337uJ7XptHna/AP 6LkEPqa+XVOOMnspv1sa2OmyYryj7v56/qa8EUqH1UW7fMvYkGPgGsgy5vCg fMzdfPVlXjb60TGN+TlJfT6/HPsYvysY3/XKP786ZBbyCgzknGLohBOLgTmC pYKj4ldhT7Oft0pjrx6oOl8S3UX5b4humYbucIjoabbLsM/Oq462hig1poFD H1AIPxtzm9Xvx/T7WrV/Whq+oFfsY3pU+dco/1TlH10O+Y1/FUwEngdvvKsQ fe+axnwNsZ+rWX2UZ36Y4629Fuh68MJF+raUBmYLdovPHrsM+wwf8rz6kHXk 4dfCT8DzdKUnRU/2b2j0wXXsP9U5XOOeD49W/lP2qeBPOTgTeAV4Apj83LrA 1rfR3HfMhez/KA28+gM/b7H8Z+8381gWGaegng6WQ5zlB0qhR/ygd7/q3WHG K+AfXcxDxrk+dIme5ZDL2IXY/D8YTwO7BMM8vhjvkfXfVYZM4zxO1/PlNMqv xw9VF3IL/BBMCqwUu+GEJHQ49Ld6lTvO735JQ7acpXZutV51Sxr8gfP/obE5 8tG1Ps5G3uLqiCMhnmRGMWzzOrc7SfVfDz6URjvgzdiPxyeBQ2NfgJV1M+YD htbdWE03P7FxwN0+r4m9lS3EGPi+oRB1Ue+J6vczzAmYmfK7Wsd6NBfrzlyx Jz7LxPpPVJkhet8zjbK0D+YJDj3G+mKTfws+fG0h5PA5er6SBr62s8Z7XiH2 7G9a50Fp6KwD09Cv8WWjY2/iEUof1wZ2P+p/zh40vjv2wue1sR/A1NCP0EvO ws7Ox7slafje7i2GHMA/gSw4phz07ZYjKyxLlqZB4+dp0TTf1SGv1tgPh7yd Yfm5qBC60ofEfuQD48eXh97dx/yZer8xPrZvNvYe3+fzxvI93hHmIcQrkH9r IeTEKvvgEttn2FN8P919eC8NHnoemG4x6llRDJ0M3ewXeFghdFF00jcaQl9E TmErEFeAvYDe9JN1s9V1wa/p1zlex+WlwFXARaotq+DJ8GbsWXQO3o0qho6M v5c4COIeiHkAa0mMp5xdjvwxKvtJNs4G46nNR2zDrUnEakAT7/C7UvSTOAj8 KhuU7lSZHUoRV0B8wfBi2Jf4tIn/IA6BeIRzrR9+q7InpeGv6pEGD1lvPrJd KfYe8RRN2A1z3asQtsinel+fjzpvU7vdCyHb9iCeJ401uqsYdlVfn/carxU2 MLII/ASdE/xlo31zYITghmAI+CfQx75W+T8XQgYhi54SfbPe9UoDs+DbScWw m9Cl0KOIaQOH7an8d9LYk8eXA/tDbiFP8GVc5rWYbT8iexJ9HP2cvfJUKfrT uRD2Db77JZrT14jhqA9f/RUNEW9BrMUN2Ajo9pVhx8+2LT8+F/n49ZDzi60n jM7Ft/dURtzGtPqQP2NzwYuQTTynuQx1THf9AxriHfkTctEefRtVCFsbm3uK 6FtE92ZdrBcwfmz9s6xr4ff81TrY26XQoQdr3h4uhL2J3XlCGrIYmYysRebS f/x5I7330G/Qc75H7y7H2b+tEHxwjH1/yJZxllPEf602TzuuEPrjm6XwWdJP MILB5WjrNdWZzUdszO1JxCdBEy/zfw2BP6C7osestV91ZTbWjLiN+4rBc+B/ 3xWjz7cX4tyMdv8/KEU9xP3dUQifJH7pnUoR/0McEFjpKPtzwULm2tYAU6EM uErXbNho8K639M01ou8shi0JDX9Fn0CvQCYtzIWescg0th/v2uQjJgp+/jS6 l+p+VuOeStyF6PnlwJS6G9MGP6c8ePEB5lX0YYbKz0KvKsd8H+Y5v7EQ/Tif WB7LIGQRdhg4IpgYtvJbdSGTp+vdTNXzSjn8hUscL4KPGr8XPi/0e/KR6fg0 8L2h1/Obcwx/xuZebLsbuTrPOhVytWdtyNZnwDL03Ytqq73SXprTduUY36Ge k2nsGZVZWA45RD5zcKxjC4kxvM7jAOMDOx1hW3JmLrAS7G3o74yxVBZCv8Lv PMiYCTb1MOMgYBrY3WvNH+a4DuTs1fVhi22fCbyE8tiH4AesOboc75H76GUd bKuByaxJwr6jXXC70V4D9KDXrQs1YdBg0mB+Y1wOTHCsf7fMhU98YRLY73Db zK1z4XN/Pgks72HXdZPr4/uOPnPsp5mah9kq+yb4lug5rHc5sC2+BT86Pw2d 4o001r6d939R5bP4B5OIWcBfi6+WuB58mdhq+zmmAj2dGF/22exi+F1qLE+H FwLrA/PDt7er5TKxwuil0xwjzN5kL40sBN4I7tgtH/Yq/jv8OZRhDvtpH52b jfjQamNAfIu+Th42Imd3kM8vPm0wG2wWzkGd23vDYx9aDGw/Yz8HPhP2AXsA 3wm/d1KZynLkv55G34e6P/tkA5dAV6DPV/nbC5V/QTZ4GftnsPkGY6Hf9Jlv HrSOcWwhsFAwUfS9X3zGwcCwV7Gb8GHjy76LOMCGwBqwN8cUApMBmyE+4Guf YXz/xFUhg4lDxM/KOuAXxz9+Xxp1jHM9YADo8+hA8NTLre9/qHF8kI1ywwqB 5YLp4n+qtU+oufV67At8z/ig70a3KQb/rrcNiOxB7uBrx+d+j/IPywfvhw/j v8ePf28acSvYhxM9B497HvD34/cfmob/Hj/+nWn4zvGh35aGjx9f/x2i3ysF r99afXmjFLoicdOsW86YEj5+fP23q3wqOqc1PCUJXQpbD1uuoPwG5Z8ED9WY lil9qtQuG7L8HvtZfrQfo0c+9Af8A+1z4dMAl37Z331SGfYc+ge6x6vwUNdL G9gJ2AjoKsuxVytDX/nCv/G7QBNnuMjv+Z5z29Y2Bmf5ZNfFeOD78HzGeIrL 4bvHbw9eRAwSvnnw3TP9BJ8hD5wUjJR4Ib7Bp098zpn+Ht8u2Du+IeIzfm8Z 85LH+nFlxG+c6n48nAt9DL9Jz2z4fomr3BSbmQk/0aZ4TOPPL7qOfzHGbPiQ GfuaQpR53HGLy23Xj8tFLNbrtvcXeY7b5YKmzCh9c4vm/6FS6G2veH1OyIee xtz/VIhxjSyFjsd7xkT8A3YasuOXQmDqYPnEHoGDgIEQg0T8EfZrHz+xYYlZ 6uNyk1wf4/tvIfoPZvCk+0ufZpcj/pw49DG5wDfoL/L2c9uzzNu9DTF3qwrx nECfS2H7di5HjDQx3OjOrBdjZ2xgQuQT1w2Ogiyn/UdLUecjpYhHpq/s1VG5 0GmZj3WF8HXgA9lQCAwBLIH6qBc5gQ/tK/tliHk72/vp+0L0/55SxLZUK81V fl0+bKf5ScS/JPgZk5DbC4yZk8DPmed8Y8g4ZB069Vj3j/iaSqVnk6ivzvYY sWfYq8hZ5G3BNDKW+DbkLM+iacoWbN82NIZsRcai0+as16LbYyewb9h37L+p xqJYM2yBZfYz4m9E7zjHNj6yAJsT/ylY7dH2R6BfgV/Mc33jXSf1jXWd2A3Y D7Ntr3CumuKUobEpeE4wDW70SC72xDzT4GnT3QbnhRjFXt7f2IkNthV58ntB EnGB29vGQ/Yil8Fnucdwk+OIwNL6WV6vKYcOjC5MnGFPf/9bOfTAac7bwXKL +EPawI5knw9uiL1CnM9p5i/s1UENsV/vLAU9tBTvt7MsvK8U395birVizZ7T u3Xl0MPRx7+2zgu/Ajtv7hh1xvaVdd+MbQVkFTKr0nHL7EH2JPokmHU7+8Uq G0MHRhfGPlhou4CEjQAfACNYbL26pjH0c/T02sbQ+dH9a4yLVNivRD3o+mtc DzRrRSwYmBExkL39e3gp9ste1r3By7EvuKvAPQfuLnCngbsN/OZuA3cq+M2d Bt5zN6J3Odb3ykLckyAPXvJMKXhGl0Lsf/R82tszG3IRmdjO+v+e2DtKe4ve uxwxm08nm/lgH/PGvOqq17seScRyEm/HeIhZpE14V2fiqrARK+N+CPdbuC/C XZMW/s2dk5b+TSxCK//Oqf4Tk8BAiVlp7XebYsGSiO/iPBDLQ6wOcREzHetC 7CTtgzlwv4R7JswXd0q4W8Jv7pbQF34T00A9+GSb7kHRHu1jJ6Ov71GO+fpT Odast2UH91xGZcL3S8wjMaBNsvNUy1bi3YgHbToPp3nP9/O3h/ocnO5zSpzv JMt8Yo2JwTvL8vtMy3riv0YYc97Wtg46LXG4T7gcvPtsy76meD74FVjInl73 HdwO54Fz3tPnGhmITMR2Hmyf3/ul8M+CJ4IFdmSviD6lGPyNPQPv4tnBNHHK E10v4/jE/drHdyI6lSN++XGPnzjrJ5PNcruXzwux2E/5N/yWb+GNLzaEfg9v RvYh85B37M8eXj/0MPYB54a4MOLDOvtcEaO/i8/Vbv49wTK25HPFe/xZnMn9 /D33rcZabnIfjHzix4grwy+Lf5WYNHy6x1dtvk/I707Ow/fLfTB8t/h79/Z3 /G66p9fdbeK/7eF9zP037sadWQw5jjxvure2h89YO//mjO3l3y3cHr/Rk9Ff 8WW1dNu8G6r67sC3lIkz0NFjauPx0HfupoCjgutt6b7s5nO1h/vX1mPex+ep k+tq5fpo73OvCbxtX4/vRPcVPzf+5+3tHwZz7JWNOEfOKXgh+gwY5sn5kJGc XeQkshPe8KX5Dme9Qy74yArr5r95T6CrwrNWWaeH5661jr7Ovz91HjwVm2Gj v/+Xv1tp3XmN69rL68kYsCvgd/SDmCv4Hfoz9yUP9X5D/iJ7sY8HGgshDpMY Wu484ofa0/NxlOca7A3fIjoEdVZWbb5XeWTV5ruamzA6x/rBX4n9BL/hHAxw TAf7tof3Apggsa3gJdt7LY90XdN8vuAb433feYs0+AkYK+fveZ3navC1csQM Et9DLAzx9pfZz4sv9ELb3X3LYYMPRN/Qd425wNx5Rz4+1K2Ut2UusPLXi4FV glm+DqaBbNXzVaVa0S/r+RLYhegX9HxLKSv6De6UKeVFLy7H/Tp8tyeCMZjm 7t0E379ulobtOTgb9ifxVtyhwGfcyTgrfl/uUhA3gEwixhnfIuvVXO1skwu8 knsDxASAZ15QjnkYVIi7F2Bh4FF3K3+U8u8qh2//r747dkU5+nB5Ofy6V2TD /39JOeiLwW7VTrNcYM34i6gHvyUx0cQIERdNjDaxU2BLxG7jz9t0zykJ+xPb E7/3fMdSPJeNGA78+u9mI24Q7GMgsQn5iL/jLgs2KvYpPvxXfJ+Luw7YkMhA 7kOgCyL3uMuCLxAfF/dC8GuCSRD3jU8RPyJ3X/Ad4jfkbg18HB7O3Rp4FnuU OHd8h/gNP/C9J2IVXnAsAX0g5vQlx51eis8iH+8vdTwqGCXvX3T5l30fjXhF 4viI5yMGhvEydvAf5uM539Pm/fOOAeX9u46rBH/5wP2BNxMLhB7Cvn/Z9RMX Q13Er1AHdeF34Z4Qeg86D3HuxIeBbXIvB78ja3qiY97wTXxpzAIegw8cHgd/ w4Yjfgw77iTHkuEfwWblW2xqzhnnDXuN9+1dHhu9o+v5wjGZxGbC59Dn4HWM qbPH1dnxTuh5p9gXD84Mr6U/8ORlvvf+aTl4CfE6m+7hZyO+Db8dvjh8cuBa xPoRu4l9BuaAjwF8Cl36afuX31NdZWQ99yKJbRP9uGO0qRMZUMpFGWxVfBTU g73FOeY843vAhwnNuea5wfkrHddKfGsxF/Vjn4Jp0Dd8fmu8JuDii4xZbMIi jFWjt4BxEsuTNb+90jy3r20w+Dz75UOfr7eN40EPchn4MJjfx54f8PJBzgeL bpELv++cfMTc4NNAV8GO2M7PAaavNE1/wKtb5cJ3ONB1Ins+9XpNKUW91I9P mSftYYPDa+A5+LZ4woOwN/HpDXNsCXutnfcbPJ09B7aMPcVYsKlWOGa4pX2h 8Hl88fBN+CdYN7Z/S4+RvtJnfJ08GcMm278h6L7+Dv6L/Uh9yA8wCu7QcJeG Oy/czcJ23c58jz1JLBl4/oXG9HkSvw4PwceBbwO/BrwEeqTpS+3zuMjfQsNL LnEZeMxFzgcf7e8Ym+vtJ0TmVhg3xT/OffMhjjcYYH7b0j5sfoNNv2heRjuj HKNAfReb19HWnmnISmRm0/2QWutyC20rgc8RIw5Gx3Oe6fPto8D2Ie6bb9G1 htivS7/JW+g6wQWJQUe3udbziE8EXWuesdYq60DoIZRd4PLEp9M2mCRx6LwD VySeYo73M7FZzMcMnxHmBB83/In4S84ciVhQ/O7sKeI+VzpvnvObfg+zX4lv iTPAT4WPqo9jRGfa50SdlOM8o/uMtv6Dnvmo8Rn6RuwNvtWVxrvAGfiees8x PcdtzfTasm7LXYZ2iREmFpA8MK3UsR2cI2Kd4fmMe4DHjtwZmN88HwO9T8A3 iNsjlu9D922G2yIf+5FYP2L4KAuWQiwfcYb4F4glavpusse1zGXaOXbxaZen vmluCxu4v/15s2yPs2fOs++0u3Eb4iGxMfEd4Y/Z3nyRuEd4IzGSxEo2lT3C vgd4CZgvPJa7VMf4W/JO9PxgCyCHkEHMG/l8B86PLEQOIu+g21tm8g1yCtnF t+RhT5zsetr7e+Qsdvaxbhc/Ev2Hx2MLYhOCOxzpedihKuxTbFN0A2IK52U3 x6zOs64F1oRMw9bmvhf1c89ro+9KcGeCup/Nhs1Fe8xd05x1dX/YD+CT7AF0 dfDHyZbX+1lGUwd1YbcSH9HN5xlMsofnh3OHfwvfFnEUxE1SlphNaPxQTb+7 mffAs+BfxFFCb4qVykcsaTe/5x38Db8Z9ePba2OZhYyCH7FnsE2+9x5i/3B3 DZqYk9nmCfQN//ts0/DdC8z3wEhP8H4gNvZg8w/SQe4bdbT1t/QDGn83+Fsb 96fSGGKFn4d7H7Y1T6I89R3scXFmZhijZI9t7flkDrp43ogl4Df6IfUd5rPw lu+8cPeFfbiN994S8zx4xoGWX8SgP9IQOAW4BH4w7hjjKyJGjvuZ6PbcLXjQ 9hf3jMFzwXiINSNOoymOmSd4GvcduEeKXs0dZXxI4EMD6yOehLgS7mVw5xM7 gtg/7m2itxPfx9119Hb0rJ7WtcDCwatZk+4ePz7wpnuM2Jqs7VteX2IGuTO/ 6f5KEnfgsReIN+Q+OfbCacXQU/Ep8b8X+FSQP+B144z5HJWJc8gZ5B4wvhzw y1/9jnzu5oLDgudRlnzs7ZOLoUPjL9rJ9WzSi5LA3MGlviuEP/H2Uvx/CX4a ZCkxlMRSPpxGPC5xuWPTwFr4XwDsLGzt8ba34UM9zIuI0yVed0wa9+q5Xz8u jTvN+KjA5IiDJB5yfBrxDEd47ZbZB4Uvam0Sd26JsQDH4cl4N3o/sC/A2sDc 2A9bOI8Ye+5z838BxCFx55t77wd5D7H2xCRwR5z/ESC2kVh7YhqhazOxdqwh 90m5h8z9ZbCr9aZbeK8Q64afljlhbrBTf0si9gO/Nj7tO72WzBf6SF0m1rcJ F+aJfsJ5oH506ZZun7hZYkOGeXzEzxA/Qdwj8RLEShBTB8ZCLDA6IevP/mAP HJSJ8wYNfojMwefCfDPvYLb0d5j7/JnnvsnHu8jf4Gd+y7Ya97mP9Dyg8/xk fQsbCvsKewocYdMdhKqI7SGuh1gs4jqI6SDOc3US/91AOfDjfsaf8R3hQ4KX rzOG9bnxLvqOXret5xtd8S7t3avwa5civpp71GAF/Yz/sWfWFiIme1Ip5uJA n4WRnp8uxqkO8lw17TkwDXS5ldbzKHuQy/OfPeB36KQrC3Efb1wp9EPwLHRC 5PDJlsXM+eHe5+BYK2xf4jPnPzXAHyqNtfE942A8rCvrgN8VG4Q9xr0pxkgs +cGm0RFOsJ6AbXeybc9VxvjACAuluCdWLAVuuNzzutb44DLjf5/4929+/29j iMu8Hqtd3yfGJtkX9JvYNeLWusn22rEY8THcQ6orxR2V+lL468613bcxjTsn FaXg4cwPmF22FHc5cugOvi+xQc9X0+Dji9LYK/28vkNNs5+RH8gRcJsfCxFn +WAp/Bj4NcBwiF+EJ4BlsXd62g/N/1fh58OP2qMYWAN+8kU+Y2BixC3CWxLz DnhI3nvnfp9B9F3uqbHP4WfoL00+9ie9lvzHFv+19Wga/4fF/2I9koavFZ0H 3ecQnxH2ITGsxLJOTOO/tPhPrQlpxGsStzk5Dd8+fvOm2IEn3Pan/k1fDjNf ZSzM9xGeN3TWc21fb/Sas663+1yyLv1NM+fYDY9Yx8QXhG8IOxT+8GfzCDCM XsYxwP/7Giugnb5u69VS6JeLSrGfXnJfuTNFbBx8j732ot9hu2DDgNPu6/8M 4b9D+K8LYkrwEeGfwfePj4b/tyB2BL/TEvt+lpbi7Gzweq1L4rxx1jKZ0AGO N1+63fODn3C8+Tj/FYU//G+F6CN9hR/iZ5ng/63jviF6Afu8rfflTPP5m83r T/E5BYch5pjYY+Li4c13uF340B3mRfT3ZvMfzjbfwg/5DzLquNwYKDwFu4z/ Xdp0T7oYOjCxXOhvzYrhYyZeif2AvGBNOa/8nwW6+R2WEbT7MXxD37Yphi5K HDy6IhjjdN8X5jnD9Ezngz+kxcAFuLNb7/+tWpPGfHGvD7kKvl5hvYwY7Zn+ Flx5rfnxglLUX6s6/il6mehWxbhvRz3I/TuKIce5o3CcdTRkKPvtRvMc6Ju8 /7BT/mEbDD2ug9eM/72gPGcCfDfJhB636T/dNM9XEJeUjf8s6+dYz7szm8d0 l/tzhnVIvgETRfYj78k7w98+a3wQecFZ6W3/EM8+phfwXz+ctXLcDTw2GzoL 9xWIIQYHA0uuyoTuzNoN9f55M42YwHe5F1OOb7uXA59G10HPYB+xF9H9eJ5q +gPPC3ouZ5j+bcJJXD97s7fPOPjnXNW7EdusHBg5Z4lzxP/W8X5AIfAB9hK2 9uE+X/AW7uhPbgh/0DxiCUQnxfBLrLaeAOb8tO9jHu59Cx8jj3fcEYCe6jLT XJ78OcQnia5UnZMagsZ3hQ3yqH2lM0tB/1aIO5rU2cdn+hGXecw0Ngv9neQ+ 07811nmw/Yk1x87Cl7LOvKW6GL6gVWnYJ6wV94BYt5HJ5rtB2CTcRcI+wZ4h jpbzgc3CGWE/YlOwJ/lPoBEux/8xPOa+Nfd7YiX5ryDsDuyPGt915Z4id4qI Me5cCpwe3RodmpjcCeYj/LfQQ8nmO1LUQewlcZ7EeHLfZKLngflcb30N3eIa +yHwQVQUI2ZnZRr3OaZ5XfAD8v2u5iHP+OxT30TP7ab/MGwIrOb/Absre/M= "]], PolygonBox[CompressedData[" 1:eJwtmGeUltURx5+FfXbf92V52ioIxBYT2zmJCigW7CUfkmMhKmooCit2OiwW AoioKIgUlbo06SB16QtWFJQmtpMcjaBolGIh9Jbfn78f5jwzd8oz9965c2fu me06tehYKwiCzkVBUMy3ZRQE62sHwVd1gmBOFgQzkiB4PgyC2nWDIC0Pgpfg h9BH4S+GfzPwXSlf6BbgbwNhWRB0QeY1ZBuhfxR+f+D+2DZlexH0Fujz0iAo KwRBRT4IliN7FnRr8Bz/O5n/ncbYO7kgeBb52ciPBu5B/24Bth4H+oKXIdMD fBj8W6BHQ+8EX87YAnw5ztgK8Fvx6WLm9zn0TOg3gUWaHz6/Bf4F0BC8HT6c iy+rsHG0BF+Rnw7vQ6AO/O7ojMPWNGQexrcfkdkHvSzzvzrCHwq9GTpGvif0 ROgPoPPQ3aDHQFdBL0f+PDbhSuhroJtDb2JNNmJ7JXQR8p2QHw7/JejR8C9j foPAv8W/F/H1CHRL1upKxi6H/w7676P/F3QWYnsNY5Mzr6HW8l3oSdDDgSrw q9AfAj4BfrdS+yTfJmCzH//eiw9HoVvAbwKvMXAR9Hj4feHvgX8I+m74zeBd AjSDbg3dFXtLsd8K/CVgG/TV0O+iuxwfn4Ley/rVhncHY83gXYvN28EvzPyv +cxxJ/T/kJ9LoB6E3gveGH5T+NXQu+E3hZ5f5LGLwdtgM9La4t826PeAUvCu 2B/F2vwEfMO/2+DDa9g7BnyA/SPYOw5+HvqnwesLvR771yLfDns12B+f+Qzo LKTwP4E/Ffm+yK9mbAK8iYw9zb/288+AeJ4R+yy8BX8i/DWyEdqn98H7IN+I vbsIe/3Aq4A+8H+Bvx/+O0B16DP2LvjmxGv7AzZHYHsddG90nwLWgr8N9AC/ CRinswT0BK9C52fk5zLHzujuZg0OM7et2PxjwWNfg9+W+WzPRv4Y8ufGtl2L sQDeJPQ3FnnPL4XeANTFtx74OB57qzOfrc7Qr+h8ACvAM8Y+0b/Qb4u9Aue9 HuszHf+SMp8ZnZ3PgVPA70XmbGQvg76Uf9VA/6q5Y295aJ2P4U1m7Bnow9Al 2PuUsZPAWyH/e/Sfh38a82sG/QL4y/DHYe8A82uR+EzobOjM3ITt1xkboHyH jTz2AmxsQXcROaQF/KPwN0E/CH0b9ADoU7F/MWPPgX+GvXrotoH+A7p54D/g jYmxVsifA30fdBnzr4/9Muht0H+F3xZ+S9Z7A+t7CvyG8JcovvHnDP6xNHMM KZZG4u8NyN+B/Dzk6yPfAPlLMp/FZdj8GX8eBxqg+yfoJ8FnJd6LFNiSOWYV u72xdx32noLfEPkLkP8neA38haFz0irwj4CloXPievAn0HkU/ceAB6DvwZ+d +NMAfxrhTxXzqyC2viPefkV2Ejb7o38Q/drwr0BnV5H3uLn2H/5VyA7k/18k zsHKxcrhN6O/L3Hu0D87ZL4DdBf0ga4E7wRUgq9h7AF8+ZT/r+D/JUB96BrF aOicr9y/Dvrsgs9Ac2R7Zra1Gf1z+dcU4FndJ8iX4W8xMl/kfWf2iZwTlBv2 4VMF9s+HXxdbHZBZqXyHzMrQManYXAFdEzpGFCtj0WmLfhuglWI99V4rB0xB tgE2VuecY5RrVjK2KvQZ0VlZCywJfcesy5zTldsV40N1XyL/APiDQEVmEL4C mQzbT8LvBt1de5h5D7WXNfBPhj8bf1bnvUezwPcytqfENtsj+zT07/C3CTLP JL5zdPccRKYD/lYBFZIF2uo+Qmag8hnxUV7unKLc0g/9c5CdCv85xRv8GH5H 8XPe086Z73Dd5RNZjzeRP5D4X5rDo5nnoLm8h84Z8DZCLwudozapVkFnPv7O A1akjlHF6g5s/EN3K+txf957qL2cCAwp+EzqbL4Av33eNYxqmeH8Y2fomukN eK9CX6dcA10B3hGoD70Pf25T/gF+CJ1jZiE/CHp76Dt3GvSDyod5+7APf++C PobufmCo/IP+NvQdPFX1AfT3oc/UDO019ODQPi4DX6Q5aC6c74Xgo4Eled+Z o8C3q97B9hhgV2yf5btqsnng9wMvhs7ZC8E7AINC57DF4KuALnnP+RXwkcD1 eetI9xbm0ATbW9mvwdhfzVjXvGVeA38T6AZ+AzAK/C2gO/iNwBjl2tS1UTH6 G8AHM/Zd6Dt2OvN9InFukw/yRTWBaoMB6PwCP+WfgWpJ4EP0T4ptSzlhM/Qu 5Bci3wv5XZHvGN01o6APQo+OXDv8F+gGbwSwK3QMz4V3PHOtpJrymO6u2Llm NfAZ9oeq3sHWVuJrcOqaRrVNJWM70R+S2LbusJnQDyeuLeoBf8PeZYw9hK1q 1rCQ+E7X3a4YGQJvZmpflXOVe3snzt1aY631yNRroTtCd4XuBN0Nium96PdN XHtoD7QX/ROfZe2B9mJg4rtTNYRqiUdVk+Vc0z2i3Jj47lPNodqjWHsAbzj/ q6295p+ToNfwvxh8GGM7Qp/xOfx/KPSPoXPsbOiXY5+VQ8Df4Y1OHBuKOcVe U+BLeFeohs18h+suVw5XLlePoV5ju2QSnxmdHfl8c+KcodzxOfQFiXOEcoVy zJzYOU+57xAyk2PfAboLVGOr1v5zYl3NqUvsO0Z3TTEwD/zyxP9WTa/a/urM vs5Afh17sRuZC3PuqQart1I85LxmTSLfAboLNrF+Y2LXYKrFVFM3j5yzlbsP QE+E9xMwLvfbGQMfm/jsKAcoFyjnKvfuxt44+GuxMRHZJ5B5H/6vjI3PuccY jOygyLlAY+JN1v2Zd82n2u8x1Sc592C9kH9INSh0DlgMXh0bX689wf7c2Guz FjgLeib08VL3eKcqPySu/bUmt4I/ljj2lTOVO9cif0rOe943c0woNjRnzX0J PvUq9Z0UxO6R1Cupp9gGfWfiXklz1twvSly7yWbjxD7K1zywBPnPEtce6rHU a30YuXdRzzQscw+qXnSB8if8HbF7T+Vo5WrNUXMNgfnw6ieOJfUQ9cA/SN2r qcdcAz4odm480VOrv4LeC74M/XbQU6APl7oGeESxhD+doJdA18Xe8Ni9wA5g E/SGxHepemL1xrXK3YuohygCXxp7rtpD7eWC2L5qD7WXTRWDpY5Jxeag1LlR PaB6wdNT92LqmQaotwZalzrHvQxvLDAQvD1jzeDVV45Fvjfy/ZQvY/uqHku9 1hWqd8BPBy4HTxLPXT2petNYdxT6Fei3i2xTthciU6r6THdwwTnyRK7MXItp zR5W/5+5l+sDfIR8KfJf5V2T51LnJOWmjdCH4Z8f2xf1VEXoHmPs47x7gOPg Y1LXsprjuNQ9pnrNnxlrG9uGbKlHOAJ+b2ae9vQ+8EORey/t4RvoH1FPWuI1 WIN8VeS3BuXEHtA5bC4u+MzMAj8VnX1598TPILs/cu2iN4kZ8GoS157qedT7 LEjci6imV23/OvKVoe+wXsolid9i1MOol1GOUq7SnZnwv6WJ30ZU46nW6xk5 9lVDtGQ+36Te2z06L+p1Uu+V9vxr8D3If1/iHmACdHXi3k49r3rf11O/pWgP p6rXT9y7qWdR7zIp8luKaqzKxDWhasNawDToj1L3Zidq8tQ9lHqp7eh/mbrG VK1ZAsxBfkLkXlV3UM/Eb1x66yoGZkJXRs69ynn3qL+IfJepRrgjc0+m3kxz uov16RU5t6pGbg2/Ueq1eBUf+itfK4cUHEOKpQL8rXn3fHXUKwDf5h3jEXgu cWzrzUtvX3XK3Yuq5yqA58rd66rmLwWvRmcK9qcpRvjfL7F7fdV0qu1O9Jh1 3fOo96mTuJZQz6HeQzWIapG72Z/b9V6DvScLzgHKBapZVLtobAh4lDj3qKZX ba8eXr28ehL1JiclvptuIt+VJ66xVWsvAEqUa8rd++kNpBi8f+xa6d/wG4JX xr/VagWv3ZHMb03qQQ+r98TeTHizgVrwD2Z+K9Gb3wHwEZHfzlRTd9Zdrvgo +AzpLG1JnAvUY34MPizy251q6k7Qr0Z+u1CN2UX5OvFdqTP6XuI3Sr1VqodT LxeVuzc80WOA3xi5N6/mf6v4d2lsXD7IF62B1kJvpNN1noGvC44JxcYx9KcW vKfa25GR31ZV43dN/IagtwTp/Av+manfrrYy9mzkNdRaKscp150R+ywoxhRr YyO/RaoH6a7aI/VbpHqEBaljSLGkO/U+dK+O3DvIp8Wqn8t9ltTTqrfNyn12 9Majt56k3GdTbzR6q9GbhN4m9OZ2J/ZeSf32tg16N/xhqfE+2B+hXJ4a152i u6UInVkF77n2/sfUZ0s5cAf49ZHfLtTTrYS+JnLsSWdZ6hhRrOjNsX3sNw+9 fSgHTkb2/z4ZURQ= "]]}]}, {RGBColor[0.9537199931327605, 0.7542999828319011, 0.4565319787115574], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmnmQVFWWxtPMkiyyKvPly2IRCW2XdkVFbSMmZiZcUAoQl1EnJiYEKVZx 68YW2UEUsVsdp1sFQXsmZmx1UAQLRO0WtVWWgmJzbUAEBGRz6Rl3kUVxzo/v yyj/uHmXd5eT5557znfOvccOufmqEdlMJvNYTSaTi/zU+ClHSiMNKGYyPeoz mUHRoVfkjZEuj/Zv2ql9YFZtfPuxnb71jPJlkQ93+TrnjS5Pj3XGR5oQaVyM vyDax0d+TaTzojwg8isjvypSbV459SNqtOYFXvchzzExUv+g8/xo7xntX7VT +aIo/0es1zvKf4h8Gut57QcjjXV9aHwfEok/f0LMMzDKu2Ps/Ej9ovxs5Ce7 /aMofxfz94/yzCh/3l7zPBBpe5rJfBH1I1J97+c+TfDP818b+bBIh+WUU5+R 1/fBke6Pcpec6Dkyp/pQjz21qPJh/j7MfZ7zf3w+pzkGmc7JUX8k0sM58eM8 82SGeTYp0pmRroj2syKvRL/TInWL1CnSmZG6Ww5oQy7uqGQy99RlMiuTTKYh 6qd7TIdIZ7je0eOo312n/lMsU8xxSqSNtZnMvdE+K/7fjZHfEKkxaGsX7eOi fCB4/Fbkb0Y6OfrfUlH7pFIm8270KUb6zxi7Pug4LspT4vvqyMfXaY7ri1qb dVnnbq91bbRPjnLXaN8V+e5Ih0f7xti3T6N8avBhfYz/TZTTyC8O3vSplxyR Uz8sL1mEb51rxPs+5v/kisbeVtF6v43yHdE+IepTaA/6x1W0579KlN9Wp32E tm5F1Y+I+tmRzoJvtRp7sJ3WvNL7xX/8RVFrrIs+d9ap75Ci5O/h4OcqzlWU V0f+o2URWVoW4+dGeiZSa6TmSPMiLY30dKQ5kZb7O9865tW+JFJTjB8XaazP Neec8z4k0qRIEyO1eA7WGJaTLN4GHyI9hA6wfoA3t0ca6u+MH+/v07wO+YPw x32Za0v8zy6R5gRdmyLvFOnJKA/2+qwz0HMxx5ygszX2eFLw4PboN68Q/aL8 fVl660DkK+P7ikhrov25OMOPR58Fkc+Lsc31kpGH4tvyyGdkNQdzMs+urMai N7KJ9OPCGDvItIw37X/wmTyY1R53jvR9VueNc7OvTnS8EW1r89Ir8P3Fgtqh 7ceSdNyfUvH4Aeuzuc6ned/I0bUjYs69kQbH2GXtVW6JfGmk76K8JPLRdVqb dRvNO/b5Yu8Ne9s3p72k3iun/0a/3jnxnTpyd3xRsjegXrK3ICvd2WS9ured vtE+rKjyc1ntP7pqZk7/FXrgKfs5w3Izyd+pQzd6oynG9jGN0LEhZKEh0hN5 yTz6FF5faplDjtDbX8bY+2tkl5ABbBNnALuCjuT8Ip+0N5uXfGNfGAvf7w36 P49yzxq1feU5ab8n0mdRf75eeVO0L8tLz3SrUf4365xLTBf87WneD8hp7i8i 1eWVUx/gscgj81xX0d5OCLkYVpEeHR/lD0I+WmPcwCjXR74aWxL9C3m1941y EvmbedmCPtHvvRh7XFl6dJx16dZIR9bqDP5X9K3Uys4Pi/5jYtyHqf43/x/e NCeSo2NinuV5/Wf4k0b+bl68vaNe32i/KMZ9HXOuy0vPrLOuIV/r8pyK1r2i JP2Mbr4oaPhlrLUmyieUtd8Nbu8U9dei3Dny9yPvUCt+NkT9L9QjvyjSZ1Fu jLmPb5BNeSXma4mzlkT5nJzkomOtZOCEBumZZdHnxAbpn9VRPqUsm3RqWTp4 ivXwo3nl2LufN4i2xdH/2kiLo9y1LHyzNC99vhl6a6VX0WWdTPMl8Z+LkZ8U /adE+bPY987B8w6R/hbljql4O8M2faLlF1lFP3bxnBPcNv0n+mLOT/TFXOuS OdY5veN/ZCJtijn6gdMi9Yj075FGRroV21IS/e2Dhhvjfz0Y5SWpMBBYqEvk v49+oyKNjvRApDGRxkb6nefg2/3+zrcuMcfmSNtMa7PpG+869B4R3zfkZY8a g8bvCqq/HGlyvWx6A/ggrzN9e9D5ftBTE/RsTEUztHP+OEvIKHro50XposcS naNK8Pzl4N+Y+D46L7w47Sf48UHzjP+KTuHsD06kn9HT7PPBvPTh1Kh/E326 xvqdou39vGzvE0H7WHRKjJmW15l7Pyu5zkf6OsovJsJ9JwY9Y4vCRklOmGBt nWRsrfES5bfr1AfsRE4dvDS1KNyzN6e+a90HHfkLY47FBZXBJG/E9zV1kj9s 4M4oV2o0z51F1V8tqM832Kz4fxuwLznROaaodfjOXDPzWnOd1+1sjAPWvDna fh1pcl4262aXB8f5vDbKgyrCvGAmaAM33hRpQl54mP9wCGNH23DmD3qGVFR+ lDPXXt9ox/6xxoQonwidUf63vOwNthA7dWOMvQVsWpGdpwx+IB/p8k0VlWcl oneE7eykevFhWdDzq4r04cSS1hltOwv2ZC/S4OemyDdHeg48WFSdsSsib62T Xl5YUPm1KHcvSx8uinVXgRnM/01ZlTdm1Zfx9+XF37625+hw8No55v0l/na2 bST1sRXh5NGRL0jkTxxflgyhJ0vgrGjfGeWp0eeykvazW1nrQxNyixxd5nk5 X9h7MAF2+0bvXXfThQ0/1fYPHY6srPL/Il/tOTcbh4JV4dWkSBvj25ac8q05 8XKT29iH9y2TH3hci3UI82yqka/Sx1gGLF3V3zcnOmOlRD5Qo+nbZnzM+d1a IzxN/XTPAT46zTljtnhN+k0uiZZ/jrxX0L4uZGsutqYs3+JgWbrmqXrJ6jx0 YdDT7LbZbm+IufbFuP3Qzn+I1D3SzqivirQ60t+Vtda/xFp3x1qnoS8jdbVd x6Z/GKkVWcvpjDD/ovbCuU/XC+tu9/eVkabk1Y789+Y/e+0d/s7a4IUtxufo VnAKtp55+Q/YkV41oofx2OcNxmzYvfdt+7Dz67wX6B+wOOelZ1E8wzfgbILv oRe/oTnSM+xRpOX+b5vaayyYCTu83jhhe+THRFpgO7nZtpL/N8f/Edw5z/OC WcAu4LHZFeGE1xLh0fnuB0ajD//3Yu8JfjYyD97GroCDPi/IRkHbxoL+15GJ MMHUyH/ISj/iG/wYNuMwfMDIf0hll79PZUNox2Zip2lHrok9EL8g/oB8rSmI X2/EmDfQ15EnifDNyEQ+ZGtBeLeSSA7HRr6eNaL9iCjPz2tsDj0Z+aqC/OLV qcpp9Bkc+3JXXjGT3+SF9cH5T0VaHGlRpPdS/d8uiTDpxwXh0J8l4uvdiTDp pwXhmp2pyjvAO6n49mnkX6ey+19FfrTHbqJv/N+PCsLJ21LNvzXyJ73+65H+ Jys9+mqkWW6jDl7YW5B9/jZV+ZtUugSdjk7ekmr+4xJhDmgAt2ILmy2fyBll bCWYbpP906o/MMCYYWG9cAM+zbOWIXQouvSf4sx+Et9erBfOPrmsuMWYkLtC Khx/VCIZXFsrvd6hRvrgQE70brJNOZiTXtgV6c4Y/3H0P7esOnpijcegC7Zb p2xz/aW8dCqYYUpR7egdaOO/4NdsMH9Yi7YX/B/7loWJri8Jz4Pz19r34EyA e1mbGBbxE+wh+I21Li2r/yVlYV8wyKUl7S/zf2LMBX/AYo94ngU5tS0034gZ di0qhkkc7Mii4oScZfD/If/EvgA+wQ856TL49bDnY296lOWrNQUN35tP9ANz wk/4BE1Nxob5VGeZM03M5grHMJEN5KKb/aDP7d8NtG5GLxJXgg72DZmhvck8 6+Tv6JWOrqN/O7h+dlnxtbPK8l0o48seVSt9h66bkGiv3nX8DDuOrWQu/htr o5cbPC96uuI6MYxWn33WQ24Y8160rY/0Y06+xiCwsP0R8iGRrg6afhfrHhv5 35e1Ljhikr/jn2LD0dtbvQ7roZewgV1tB8eZHwPtFwz0epxBZLPiNbFPffyt l+vIF3J2uP1hdHRfr9/H9bdi3Tcj7Y65iqn852OCzpUF6b4ppm2F+UA/+nOe LnQsu7/j2ZSJu2L78KFOIq5cVPxigP0q/KurnW61f9XDc/RzGuVvA+w/Vf2o B+1X8f339qtG26ei3hJrTc8K6xJnpzwtq9j7NI8f4zkYs6SoeYmrYKvBIj38 n8ZU/TT7K/xXzuLzPo/4o5xPzt2dJZ394SWdx08cK2eNpyPNNq3YhidN62zX S+Y5vGd+5kSfcKZftM7sb1r43/hP+Fzw+aOisACxOuw4eAUMc2desfuZ5iNr 48sy5xemmRgGc+PTjfT3+yLtKureAZ5dU5T/AC/xfV4rSDctchlsTP6qy+Dl RS7jWy0pCHsT56WOL/NK5C/hw2blQ7/icl2iWPi+OCvfer1vzH/ik+zBqCg/ WpBcoYfxwbBTYMvGouqtxnMTjckXm4bmgmKC6EbigpQH+z/Psp1caNres52k jq1kTfAi69YmsvWvxn7dk1e8klhlayqbdW7YnDrbLGzXCPt2yOQdJenV/iXF JDkXPX0uODPIHpiUtcC9YCj6gaNmF1SmP7S3+L+wN5SZv12ifX8l1f9YaN5y jlgLOQcbgsOw3atSnfPzK9r/J80Lzsccy+62SPsj7Yu0Bd5BV6TtWcVzD0Ta 6u9825EVnuMbsWLiksSA50I3tKIrKtIr58Ref+g5WOOdoOW8OulV1uA+hrsU vhMz5u7lgop00D/E2LsS2bbNqdbmXocx0MKdDXXmZRz1naYF+gb5Dgo/mngt dOILo9sP4cAa0bLBeh47tN7t5O+5jC58y30OWjdS3uA+lEmM4XunRPp4SuQd XX43ldwgP2CfOebTUu8B+RLrDHLw5Tup+NUh5hhdVIxkT7S/lYo/8Am63jEN I4s6l5ytNY5lcJb3FBSXBLOs8L6yJyu9l9u9b1u9/9yz7PQ37qGI4RDLafH3 D7K6g9nlfsstQ4xv9dzUS/Y395elm5+xjDzoHB6gy8D287LS5c3u95DbqBPH YC3OIPqmxeedM7SoemaNT8ApxEC4+yQ2sdT0bs4qhrDQZ5/YAnz6xnqAGNUG 99vjby8l8ttH4FsUFJsDI3/g87HHe7XZ84HHN3quodzZ5cWnxf6+0f9phfnU 7Hy5//Ny78N87w39VjpOwFhiDewNPsiz3if6jUvkV++qSLc8ZZ/3r4n8weZK mw+PT7/CeA88vNK4b7v9y23GKuizZUXpHPYFu8uefFxUO7qXOAfxDuIxxBvO cL231znDGBYsC+4hdoK+Zu/A+BXj/FXGp9BBbOVs95vIuSkqrtLX61RjPGe5 H3eVvX2nubSo/tyn4ytU4yj0486ki88uZ3SX16DtSK9/0FgRv2Cv+QAWPs54 eIe/gw+520QWsT3wDB9jn3l6wPV3jEvBp/Dsr+Zbq/sxjnhKN+8NsZhTXede j/7sw3avybzEDuiDv3/QMRZ8XGwjcQRiBdjIRpeJ0Z3os8C91UlFxb+oc0bQ h7TzJqDJ9/DczROfrd7pLkykS0/2WPozlhgj+Ykuc59/isciV/h/+BoTi443 5PTfKc+zHM5zP3gJT9GPxIWZ40+J5oQeYqL8L/4TeGBURTFl7kyISS+pla9+ VFkx7zmJ4s2rrbuI90H7/EQ+yr2+zyLGAt+mOW90LOaGRLbjOfO2l9uJP/Qy DiGuhn4jRs09E3rl4rD71yXix81BYyb6tNRKF3wfaVGtMByxYe502F9wNRga G04MmDsdZP76RPHOeYnun4izEn/tWBau4a4MueJMcj7/sazzzrnHL0LG8UeH +1xx/piXcwJOwIfnbo4Y0bU+V/Tj7rNXru0utLfPN3elnHnO4uGpMEa7VHeO 3J1fbv7AG+J0+Jr446t8Npd4XWIu0PW89cMa96vKBDIyxGtebPlhz5+x7LRa lq4qKY6TCRqeSMQTeAO+/sQY+NGKzlKP6PvHivbgyURna5nP10updM0FJemP pdY59GEsZ/bPqXD5+SXhVMrgc2J8nFvie8+nuv94IdXdFHc13PfsycvvAO9l EuG8F1NhQdrxO7ZXhH2b4vt/VzTmj4m+j3Ef4mvMyX1YLhHefTkVf581v5us RxrdtspnER8I/h/yk3J6R8A9/m7/X3TmdLdxx0+skz7EVO+wDHFv+JC/c4+N PiaeR1wPn2K350EWP7K9WG1di35l/V2mYZllFvuCL7LLY5d6HvrebrlkbfD+ R9afH1nmKU+yrFTfXJBX32gM83jeleDb4uPib/P/OcsPe8xk/6dBlnd4MNB1 7Nbt5sFA87WX+dfktvnm8QrrkOmW1Xnm1wwneFZ9UzLYdM90G3Q8Ylpu95wz /B2Zn+65FpjuR7y/M11HbpHhgeb5Ap8t/jf/HywODsEfBWPi8+APzTJuedLf iDnWOX7Z6FhEk+MIQx1XQH+iO/FhX/ccjK93DIL4QxXXgvGGJTpHnMXhiXyq J6J8k+9Yj24InZfIt+Tuenkqe7Ai8oGJzgXn47BU+iUb+ZupsO/baRtuZr0+ prEaLxnseAnYGLwGhsY32GHsig+z3XX8A3AmNhF/5EN/A3uD9/BTDnoc/bCH g/wW5M+2F9gN/AB8CfBEd/OueqfRp6btnqG34zjY9k6Od63xvSK4tJdpH+j4 WWfHx8D14FOwfot5DJ4Gb+EH4Ud9aGwJhrzBd1Po3mcS2aSjy9Iv6JlyWbj4 dWPgjZaJxcbM2KDXjGtf9zf8GfwafB3sM7ihem8JH/G5wDH4atW3eOT4aMSr dvqu8HS3Qfco3wVzL4fNRE7utr5Gb3cp6/6VfcDmcv82tNiGi581Nq7i6Wbv Exh8jfdtles7jJ2pbzXuZhzYHtmFr/t8v4n/sb2Kx7PybZabv/wn/FL80TMt ++z3s8YAYIFN5uWSbBvun+e55pvuFW6bb1rm+j8UHF8mtrzFdPF9s+eDVnBn g2Oa4M4Ojm2CFzs65vmd5ZgzwF33VGNc+D3KviV7wrd93qOpvhMnXsp9GzHe Kb4rZyx6m/gR8Qn2YZjfG3BvMsTvpvg+wPFqYhjXuMxbBGIevPHhfocx8AEM N9hjeXPEuugh3mIxZz+/w2K91e4DluN+Cp10j/sz7h63T/S9KhiCnDr4AR+B O1f8BGLpvLutYrH+jqvzbZL7c6+ELsWOEGvp5z7E5Ac4poaunljF3kW9G4C3 8GyKeXtrUTxHzvEBaN9q2m4zncg548veI+apto12O/kYz0/8DfyMP8KZGeq9 YJ1b3efQ3Vx7xacarIOqsfDTHMPvYD11unXNmY7Nn2Zd1Wg91d39kP0t2bb4 0NZsWzxpm3XoEdab6IXO1r/UOff73Bc9gYwyH7pgv3Xw3d5DaEOvHci2vTEk Zy7uIqAT/cjdBHEAzgu+M2cPXYqe4+0LeAp/8Tnb9j5+AwsWHWlelbxHI803 +HqtfRPeEVCG35wl+qCLsb28k8T+8j6X96zIC34q/xke4IegW/HnGbPJ5/g7 6x34uMdt1Im7EC9F7yJ319uOH/A7T+48u1vfH+JHXr4F97xgH3A6mH6E4xgv 4/tUdO/wVqJ4M3FnYuHEnfu5Tjz5ate5u+TekjuNZaliwUuJZZXEU7Aqb/J4 g1cf7b1Ksi+PV0Q39GNTiE0Qoxjvu9eceT68oljnnrJimsQ2D+d9i+Obr6d6 X8M7G3ytNxLdx39WUfwe2vGbeJ8K/w9L9O6J9xnEcPHbj/N9EG+muDdibd4u vev/ho2d4LsX7p25c+YdReL/Dabhbpp7ad5I7G+veifj8i8dq8e3u9N7wH37 077HB9+Ac3hTxv4jB/DmwpL2DL9kvecD30MXWB+cD64ibkt8H5x1n+s9S/J7 H6soJsWd7ZKatjsq/s8P7fX2DLrBRNX3dN+113qsQWyw+laxv2PX3A3yBh2+ rUv0Rg85SLwGb1bgTyfzA5rxZcF4+FP7U8XLDqR6n/KBx3BXiZ7lboP3I1v8 bWhFce9vY90rS7rn+yHKrYnum/+vIv16jXXsWO/5ITxTo7cq1Tfg5MzNmz/W ht7d9jvwKfDHWj1maaK3Gv9b0TvBFo/Z67dP2CveJUPvwZLeuODX8g4FGUKW 8F25j8UGIH+cH/w65OLQmbD95o1ewXqJmD+YDBuy2nxFxrA5/Ypt92zMgVwN KblfqtgAugY8N9Rvs3mjTYwP3/9fS/Jxuvo9DP+T9z3Vdz1bzfce0f/coOHC iuRjm/lC3IB5iC9z/8EZyie6Z+RuGLvPm2jsMWf1lxW9b95bVuyDGMiiVHGg oY6//+j3jJyrvOMx6ED8J2IQ+M6d/aaAWERH3/Hib7I37FFLIr2KTp3lM8ZZ 4/7rL6nKF5UUT57idmJCvNsAU3xsnxSfE3+GO1fu71K/xyGe9tuSzsyxqd/Z m54j/fYHfnbwux5oRi6he0XQNtd3RrW+4+K8o/duSRQXOaPcdr/L2mCZwcYz 4D58ZWj/TUn65We8OU11Pr9M9TaOeClvh5cnelfEG97XE/2HSdG+JNF7IN7n Xl7SWwre9Yz2+7fxkb+dSDawA2sSvRPi/e9w32/yxuF5x85ujT53laQvjkqF R4njT8+2xfGpd050F7IuFbad7v8z3/9pptvAifj7Zd89czfFHJzn6v3tOPdD v8P3NxNhI/Q4OpzYxhPeL/aV/QXzP+5YG/7NryuKe46oSGZfstxmHIcDF5Hj X+AXrHadMn4p7b1LeqO3yv4YehZ9+3TShlNZF76CBYiT4ifxHoB3OActd+DY S/3muSWVj40u5374tVT0N5YUlyWuis9wq7EhOGS2+3LPjA92n+dPHDsnlg5+ mW97Otv3g9wT4hc+4H0iBsPZ5lwT/2i2PPOWcIPf1WCfaSc2wt4jAy8kihuy FnL8tGlhXt5hzXN/dAmxcvhNfJozhY92lN9ooCf/HzXQ7fo= "]], PolygonBox[CompressedData[" 1:eJwtl2dsllUUx28p9G3ft33ue9+yyypiBONecQSQLaCoxJGYqLQMGYYCYqGA jALOGOIHNdEPRBABkVUQZMhsKass2VRAJEBoInvK8PfP8cNJzrn/c89z7zn3 jCe/sKj30FrOuWqoNnQhOHc17ly9mHPn4OsmnVud6dyQhHMzvHMBeSXyVfC2 kXNLWYshb4dGppxbhZwDvwdqg+5abKzA3iooDvYQa73SnUuBPwz/ILQPPkBr wTeivwbddVA2cgsom29VQn+CVSNXwP+Dfmf2NoDWwA/jfD+C9US+hNwJuTvn KWFtAfrbsZcLfwzaGzOdF9FtC52Bb4t+B/SbgsfBN0KH+V45cl3wQ9AH8Dug xvDHoA/hX4nsLnuhB7A1l7U77F2P3B9+M9QAvlr+gR8G7YfPhTbAr/fGH4Qe Yf8g7O1n/7Us56bAvwftQb6MPBl+L2c6wF0OQg3YO5i1Q+A3wafC358033/P 2u/g7VgrjlnMFLvnkcfGLKa5yB2QJ8TMh/WRJ+ODk/Atof3sb8TaLfBxPJKG 8M0gB1aG3BQ+hs71DL4tG5wtmbS30Rrcw9cBvwZeqm+CN8nFfznOXWStAKw9 3x8FNpP7LAGfwPc/IRafQVvBu0RmewPfbIK9y9B67jod/dtgnSKzvQ68MVhT 7Odh/zL2+7L/KmsV6M9HP11nQa5EXoBcG/kK8kbkOcgOuRv2PsVeOfaa620G 83U7zjMBfCx4FXfbwp73OesY5IJa9o0BKTujzqo30Bmsgj31kY9Aj4O1grZl Ws4s8fYNfUs+7Yr+GtY8fDnfzPF2J91NMegIfj1p314OngU+hLVqsNusfRzZ G9RblI1eyF1Sliub0JmC/k4oD/k49JTOohjDH4WelG3uuxnbW6AkWIls1DIf 9cVWmjff6g2tQPdZ9pwin1uw/zn4O5HFVjFdBv4XVExhOc/+E/CvgTdVPiFP gH8zsr0noKflb29vTzlZyvf6g+9QvqM/KbIcVC7Kp5vgf0Gnmtgc5QxvgD+K jcNg9aBXkU+Cd8927jvwYvQXIZ9CP3Cmt8AHQtPgL7L2q94eOgm+dx55KfI7 yinwGuQy5Mvc4XrcclS5WsLaeLCvkUfDNwOvHzOdK/CnWevN9xtioxTbNboT chrnWa76gM4GdPOQK+HPgheAn8bni73VYNXia+hcgv8bvGu21dDh4BeDYV04 Qw+wWsj78FU5+HjOtxKdb9hfBf4T+ALkL5A3q16q3gWrNbmsNYFvHqyW6A66 ywj072bYN/XtUchpMfOpfHs7ab6Wzi34vGC1KqDTGL4HZ7jEXbbxvVnov4zc mrPtQ56LPAl7dWIWE8VGNUu1axfybORGwd6OYlTK3gbB3oJHp758A9Vk2Rvr B/56ZHc/xP557N+DvbKYvRG9FYf+wpjd4S7nrR3sLaYjp8MvDVaLLnCfRYoH dC5uNVi1WD6Sr7RWE0xHujOQy+AXB+NVc1V79cb01g6zdkDxk824vWm97Ube sCOcoU6wnFZuqwYNUL9i7QzyNuTCyO6su2vtOHwBa29j/zTyUeSW3vizimmw GqlaOZI973p703rb2qO9ipFipTOdhM8Idha9+YmR1UjVSvWIft7esN7yIeWA 5gPk3fA7dSfk5cFqaWdi3gdsO3JV3HzeO7IerF6sN5oGtjJYbe6DfqG3GCgW 2lMVLOeUe+r56v26k+6mmNcNNlNotvgKfIjO5u1s6pHqlcpp5bZ6vnq/aqpq q3JuU7AZQ7OGZpbVmm+grfH/a2CwmqHaobVtwe6ku6mHqZflB6u9jbDfAn42 +Lfg94A3Bx/L90sTNuNo1ilC/hzdYtaGpaynqreOQB6CPMsbPxwajDwOn42G L4FGIH8ETU3YDKFZQjmsXD6AjRfQ3RUsFqrJO+GfwP4k+E/RmZiyGUmzUhE0 EHlQyr6lnqjeqJxR7ihndnvLWeWuasgKbz1ZvVk19jH1C2+21bPVuzUjalYc DPXX+VM22+nM4+GLU1brVDNHpazmq/arJ6g3qAepF2nGqvLWM9U7NUNVeqvx qvWaUZ4B+5c73uW+DTnfjWA9Tb1NM99o9G9IJ8N8ODxlM5tmN/XAXZoviVGr HJth5iHfVA+Dn4T+GPTbp6wXyoft5P/IMMVUsVVMFBv1dPV2xVyx18wzx9vM p9lPPXa73h5nzEm3GbcC/g6UlrAZTrOcZibNTgNYK8T2b956i3qGescfypmY 1cx6YBuCvX3dMaFZOdisrBk2oXk5WO9XT2sGPhnKjFlPUm8amrK3qJlmPti9 SZvlVbNVu7OCzcLak6l88ta72nDHlrkWY8VaM8IPYAu99a77wPPBf/Y2K8rH 8rVyXLmuGU2zWhnytJj1PPU+H6zWaeaP4POSNksrp5RberN6u5q5ZnqLuWLv WLsdrMep18nHPSPLSeWmfHwXvmPKZn35UL5UD1IvUsyLsHcrmK1uUM+U9VT1 Vr2xm8p/9e+EzaCaRad7i5XWCsDyWfsyZj12oLeZUbOjauTuYDO+Zn39U2z0 1uPU69QTX4rsn0X/LvoHOx/Mh/KlasYibz6X7+WzZapdwXJf/1jr4f8DW735 WQ== "]]}]}, {RGBColor[0.9934355471622628, 0.8535888679056569, 0.5796501962030146], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmgmMVeUVx195AzO8mffue09NY0pEZBFbcGkrrayCWi0DNRVZpdotigLD MAxNK4u0sg9YkjZpYir7Zm0aUi2y4+CCdSnDDLtUBYwssotaqTX9/zj/CSZz cu/97nfP931n+Z/lTbufj7uvqkUqlcqmUyn9peaXp1J1oudLU6mJJanUA6KR ovtFVaKxoisKqVRO769LUqnBeh7ndxNEw0UjRENE1X63SbRUtEy0UbTEz0NF 4z2v1t+x3mbPXS4a5DXHmDdr1IjOaA+fZFKpc7p+pI231FiJedR63ud696Xm /LcQ3wwzj5zPNtLrD/W7au97qPc92M/DvCZzT2qtViWx3gyd/5/idayYSjVp jV1aq5/u39N417JU6h/F+KZONFf0SEUq9bCok3g06f1Cfftn0Ret4h3jfMO3 o3Kp1GvZVOq4qKPG326tc0gvb+n6ZHnc99P4YNE4UZWot6hDOuaP0PdbxHuN +P1IvKeI1ur5lxp/W9ertN8+nsu6P9P4Gxp/QfMf0ZoPZ2Ov95v3WFFOZ+gs ul6UiG7wM3yYe7uuB3X2ztr/38WntDTm5K3XidbNHZrbT3RWhnefdTtadF7f V+haLjqr+4yurRkvC5nsFL9P0rE2e3nK/OB7wfvLij5sHXzheU8+lfqWvn1X +/o4He9Z47Tuy3Qt9fr32dbOpGNN3jVmYq1P08Frhmi66EXRM6KFoitL436t aJ3HFok2iBbb1td7jGf8Cn7/Fu0oDb7wnG0fwu7OpUMGGdv+IPvfpiRspSIJ faLXnZrbx3aNna7T80CNv6hrpa4DRC20Tl/rAP/Ypnf9Nf6yrocyMd6PtZOw yWeL8R3f/8VzKz2/t9fBR243P9aurYh5z2pOe2SI/kQnbMPYcpXPgV81SCdP a60/lcY57hU1aP6b0t1F2fYbul6HjswLwmYytnGu5aKHsmFP52RLF1vFPXZ1 tHXYwWNa6/Hy4Hle47usG3AIe8KuVlsHC63XSsuM8+5Oh01gL+Dio1pvrq5N ktvuTNj2/4wz4M1czVsuWibaqnf7RfuYk4n7l0TH9P1R0fdsY03ms0/ft9a6 baSHtnq+TfR9ZCxetaIJote13wWaM080RM/V9v8eonbpkNku7/cUY/q+h6i7 aFRF8HlAdK3HWKPJc8G2xzRnOfhoP2v03u6WTfTTnu/Rdbr2d7vu7yqG3TeI dtj+G5GrZYysm+wvOz2vWzZk+Fk6MO8R4wy2sDUT9g32MH695lyj8x4pC39Z b36N1t9ur/Gp5PZ1fd9J++qgucdFm/S8xbLfC+Zor3205zuLoT/OhR9u9vs9 7DGJ9Z4rRsza4zW+kYRe0A++gs8QO/rkY63eut7hcfyojee/kwRmjDbGDNV6 460zYg0xYY5l8+JX5LfOmNFgXOHd9mz4En7Uyz6GH2zWGjnt4Zv5wOW+9svO 9mmekQOxdEVJ+CJ8KvTtttKYA0aDo+Dp/JLASHh1Et2juJAW/+WSSV7zu5TF PLALXMW/8N+BxqIm7x39D3LcGJOO+DmvJGIhukX36HeC1+QdOlxrW+ppW+ac d+YjphBbOvl8YN6BdOA+uL7fV2LIO+mIE7xDvmAq8t6TjriCP1/HGvaN4fat GtEwX9HTeq2X0bordPZ95g02H0yH7bAG/rxStMo6nlkSOm8v6uU1xlnPYHxH 7x0c7eBrL2PCE5LJNSWBk8ydhW16TfY91mOssdX6ZG3yoAuZwLH60uCD/VU4 XrxcCP8m1pG7nCsL3aHDffaZs8Xw/dH2f+I3Mn9Q+p+ejX1dynnEZ5Fooe2H Odg+sb5TWdjST3KBbf2kt5mat9jfVIn3ONEqzZ2l5yV+19ryQif9s4FJxOPh lhX6PpwJ/2KtX+TC7u4W/0bjFjng+5Lhe6ITup+aRL4zOYl41du8hlrePN+o tbpmI58CGzk/uDcwFz61SjIYq7ExHh/tOSPTEU8ed5zCD8m9ejkPIh8ipyK3 6uN3Gx1LwOZN6bDF3Y6P2+2P8HnN+R7xhJhRXxJ4SJ5IfjU6iTiXScLniJnE +g3mDZajY/CdGILO2/m5zDLm+fXSiC0/xpaSyCW7Sp7jxbNa9Hvs3/waHWcf zEYMJhafaRFxdmo2/J68Y4R11Zxr9DUGfSRZdhS9pDXf1loLNPdWrVUjXs+V Rs6A7g6Vh86IvW3KIv6C/W2N/3WiFY6va0oDqxkHr7kfLL3dlo/5Q3JhC4dt D8Tbk46507KxHvs+URb2T+3w7Wzo+1ca357E9Tv54HHEfIbl4tozH7Zc5flj fI/cOMf7no8sV6djnJgEL2wVHxtru0IuHb2HOenIHZamQ0fsGT0NNlaBJ8Ql 4hOxC/t9tCJiOmfm7H8tRu7YwX5F/ohPEe8rjOvgELFto3nd7/esMcTr4Cc3 mz82X+7v4PuUz8y55otWiVaK5vmKnpiz2u/At+PlgUvULk+6ljnpXIgz8v6Y dTTQ+S32PVN7mJGNedwzBzzi21OevysbWI0f/aE0fIr8cLtjJvfTktD3rGLY 3gTb363ZsHvsslIyLNeclcXITY/bN8mbRllfxDTwC2wrlkbuSN44xmMzrPca 58MrHd+Ic5vTgen4/5Z0xBWehxo/wAr2VOtvyfF6+h21Xg8/k2vXOj8nPwQb +qajXuvuecPMDwwa7ivzJnhvnJfabrbPQ/473fFrka8zbTuDjMm11is6H2+f JOetse55nuD3PBOj6nx+YtdYxzdsapTtdpVlQ16BTcEfOXe3XQ6yLQ79im0O sU+Q18z1Gku8BrFzsffOM72EOZ63NR25AnJf6rm8q/Y58L8e5n2p5+F4hZ0T m8BLbHWc5yI71hnjs42SjW2X/bTLB0aRK4Bj1J/E3NnFqGnIbdoZ96Y4dwJX 2/sdedZ517zIhjyJHI1+w5mywIZt4rlY12pdG0ojrhPT52qNP4rvHF1/kI/5 d+VDBzXmxVzmsCdyZHJEcornk6iTOuSjXmGMHGev8YZ5nI+ccE+L2G8v2yTy Jc+i59HONtjd5+np5zq/Zx/NtRw8yC3RP7U8/sp4ue11hO0XX95lf8TXucfX wfMnspfx/j1j7MtJ4NbNOkv/XHzTMX/ZH/APMGiEfac+HbkjeeVLvu73GfCr QT7DYD/jfxPtg0+7j0PcBzPADuI4uSPrsj52NN6YudoY8ax9dJgxoKd9njWo 0w96TzvKApcqLO+hnkfuQ3wmTu9yLUltRV5CvKYu7mPcBvcnGjfAGPys1r72 VhL7q00iDlY57yGGUwtQT5DfbXNPpzkPIAfo5/eMz7f/w7emGLY0ORd9D+qu T40LNZ5HDoUO0TV56zHHCGrEbq61iYXkTORQtzhGEz/xU3IZcprmfJpz/kf5 7gG9n5MEbrT3uzpjFmuPtT7RY0Hzj0lexULEqnrrf5LWnuz9jbfM0VNtMcZf SOIMw22jv9M5z4nP1eLzbiH6afTV6BPQi6OOJs8m39hvn93h+IG+kEW5ZTLJ 605ynokcp4nXQc1rVQgcAAPAo+mOp+Rwp5zn8O6DTOyBWpXY2dbY9WEmvufb KssAe6u2TXHOcR7jGf2id3Lv5hqJM0/VfvZoPy0KgdXXWh/Ei7Z+Hl+Mns7n +cilyJVeTQI/6GXQx2jjHg557YQkdPtKErgGvk0Rj4uFyIX7F8Of8ev6JOwQ OwdLUq0Dm8Al9gBec94urjfxT3ANWWKbA7LRJ0IOB+1vYDW1Bb0j6vZDZZFb rnHNgt0gM+zlqPtLV7ofTl+8GTuasaTefMGRrX5H7Nni577lgcUNrp9O2sfI 4cjlGpPId5lP7kDNgr6RC73HJvcfV5gf86gBP3K+Pce6RLc97Sv4w6+TwK1u +Yh71faNld4jvO51DkZOfrvxAyygD3Q6E2uTh3A+cIx6j1zsp7nIg8ZYXrMt M/axzOfAn9tYrsics4IR5POnJce9up+dRM9trn+PoD+w1z0C9LXG8zu430P+ fMQxgGdyswb7F7UcNR39EnoZ2N/fkoiJ5GfkKUuMMdRS3M/y3vmO+ot+xVKP Ide+xcDaXjr3gHz0Eun9k0/WuI7CB6jHqMOoo1vZN9AN9TR5LDnANMcv9Lag POqBmc5jFjlPWeoch5jIfohZ5MXwbWsfn+H7dl6zuebj2tp7YX5LX2e4tm/O +Rbax/C184WIOcQy4k6lxg9o/ItCyA/fxdemFsMmJxfDDuuM8T8sRk+iMh96 nFce8gLb63yPbc/1N78rxpzdyeVagnhCP5q+9L25qDtZl7izyu+JY6cy4Uvo m9ydfW9IIgaz/06+Pu17+hHk6djpLtfg4O1ij82yjBdazsusc/bK+gu8B2wU m/ysEHhSmQ3sgD/1M3Uxujzh+g6sAuvBq9eMdWBeS9sEc77reoR4zHmJs2Xm tdB7x0YXpy/b7BLbJjnYcue8k4oRE6bkAhPgj67BKn4DItdabXwCp7o43yQP IyfnHv2BSZ2NS3sLEcv4fYmYz28u9InBSmIZeNj8GxW5PXkAsZH7PrZv9kJd +ZhrAOJ+vfc2yza+2FiT9Rrtbb/UtXN8PvzhmGtCbL9lIfpQVydxLuyCXIvc cJr7FNzTs2i0frhHrvjeEx6f6nxyp2W8wXPROTEKvdcZM5D1Ta6RweT11g/f kYtQM1c4/8j4+QbLLG9MrfA58cWZ9kdkjw6ae7KrjFMNSeRuE3WdWQysmFEM m8RW8Efqa34v7GesWmr7wDaJidRxe4zBm41vTcY4ZE3flN7m2ULoHz8mr+zm vv0BYzF92t22P3hRL9CzAiPoJbH+JPfQyCnJJ7Fr8BFsxGcbjNPYY942CY8v zafez9Qg5FbYaN65JPtpdBwqOg4eSMLfphejH7bB+yO/aON8uMn65N3jxZDV xXz0UD9xz+2GfOD9RvG7KnFuDR7qfpPutxVC99RD1EX0K7AjbGavY/Na65a+ Mb3p9kmMnyxEfo1MyIfQPe+R+zWac0T8Dxbit1jyt1lJ4FmDsZjfm8nfZmr8 1UzsH4wCQ6h7qAnol37g3ynAdXry64z/vKcf/GEhdHC0ELaFjKn3PvZv6/zG fsGyX2V/o1e00ba/1efHVzd4DXRBboA+Lv0Gl4n8aom/22Df3WxeC70vfuPo mIRd8XsOvkLPm9738ULwPFYI/EPO9Dyxq1ssQ3KJQ84nsDEwlP5Gje2Ne3wO u6YGwXaw6UbnyDnnyfVaYwNn1vWw6Dh950L4LXtBl9gq43nrEp12SCLeIld+ e3vGZ1pr3OI3B85DHOY9z8j1gu0NzMEmwR9yF/RILMBnB7jvsNf+usX+ttRx abX5oKOJxod/JYHr4CC5WaV/nyXn+1oheqxXJBGPHrJfgNn0E8Fq/m8AnP9t ErH9xuzl99yDddgr+S55Lroe4NhX61ry9ST6vMj+zSTiALEB/v0dKzkXMRY7 xoax5bdsz/jsQ+4501enD07uQy7fxb8PEkeJp9RNnIdz/SaJvj95664k9lRp 3KPX8r77zNQlfHvpt+PyeKY2wD7IL8ktyY+R2Y4kML6rzw5WPuw9YBfoZp/j CDpEf9RG2CV7Ou/31AF7kvg/myfdG9jhuh55l7pOpL9M/3h4LvDgsH/7IDcn NyL3IUdf4Wd+jz3iOfV+j+5fLcTvqq8U4veTw8YEbHGP953xbwpbC4Ftb1om 2PKlvoLjwTuWC/a33GsTw4nlI23Tu833tL/jGbnd5DmbbbPL05d/tzvgOfAh HyDO4oPsiXqXugi5/B9Gk/yH "]], PolygonBox[CompressedData[" 1:eJwllW1ol2UUxu82df+5fO7n+auVJBN1m5ZGBIH0oXSbLzMXQiIoWYSGiIYj rCjdhtrUSoVBffKD+EFQFIqYBJmkU5crXa7m67RgLV9mTtsirGXS7+L6cOBc 9znnPuc+b/fE5XUvry0IIdRDw6BrWQj5ohDujAyhD/7zfAi9JSEc4exiDOGf NITTxWDkJeCT6ByF34W8NgnhZmbbKmzmYXs8s+4ATlaj38JZP7J29H8Gn0B+ f4TvaNNd0BD4MLgV/jA6JbkQzkJr4b/Avg/7GQT7Kv4mcPYbur9CV9BfxNl4 dC8QYyN8FfrnkN0rDKESfg40C/tq7Kt5y1xwJbgfnevYzwbPBLcS32VwP7ju 4RDexf4Uvh6BzqPbBf2EvCbvt3ah3w9ejM9S/PdAM7h/IvrX0b1BPCnyx6AU 3T7FDL8J++3Y74QuoJtAbch2o1MH/xnyHmS38L+Euz/IW7cF+QbJoUJ8nYJW wf/LnQ+UO943lLkmqk0n8inEM8DZX8j3I/8Dfhv33UJWDnVjvzCx7y7wNPSP Za5FM2fzkS1IbfsU8lr4H7A5iGwdObqTd06V26nIZ8OXjqYeo1zTNehOBk8f 5Zofic6hcqkajY3OuXJfDD0e3XPqvT7um5m6Z9Q7d8FzU/uU72by04HshdS6 ZdAlcCX4NnwF9EriHlQvKibFppqoNjehDH498t6ca/gj/HzlLOceUa+0crYM X09jX4b9nNSxfEdMW5C9CB4ET4dW4u9rzqYU+s16e1t0Lz0DLh/tnlXv9kKl 0T2j3lEPq5dngX/PuSer8X8NquW9B7jjPfUWeCH4S/w3gt+EPoGvR/9tZA3Q HnATuBF+BP6u8tYizoZr1jO/fTU1W4G/prx7oRn9rfDPp56dHeDN4PPRvHpW vascKBfycRzZlrxtFbNiL8g8iwXIH4KvzzuWKu48iv5H4E9LnGPleh14A3iQ GrUg78k8Kx3Yv0F856LfqpnQbHwITcv5jo/hX0+8G7RjtGuuRPeSdoZ2x7jo t3+jfcbdk/DZnvMM1WB7NXMttCOa0B3MPEuamT/hK3jvs7x3H/ZnkDdAnYWu gWrxfvRbVSPV6iR4L3gN+Db4Pnd0D/OM/gc/NvPbEmgMfHv03do52j1no2v9 Dvgu+EbmXaUdrV2tmdRs6g16i3pcva4ab4R/LfEsagY0C+pJ9eYA8s2JY1Js 6ukT+JqXuheU0xrtr9S7JaC/NHUMikUz34n+6ejZU06Um03RudWO1K7cBn1f 5B2tXV0GjVHu9cdk3pnanTqbjOxJfCQ5z8wTqXe+dv9I6Cv4Q9G9rR5Rr2iG NEvK8bfaJ9CEnGdYs3w5ehdox22M3pnandJ5LvVO1G7UH7OAfAyBO4q9g7WL tQO1CxXTS8jrE/em/sC35D91bJo5zV4F9Ch8N/Q3b1uVeFdqJ2g3jMuce/0B +gu2Ru8O/RH6KxoSz4ZiWM/9k6J7Qzn8Bf17mXMnH+XIlib+G/RH66/+H+ry I+g= "]]}]}, {RGBColor[1., 0.95, 0.75], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNVTlMVFEUfWE+S5jlL5UJUBBcorUClZrIZoJAFBItTIxGGCXRDmgUBgSX QqKGhK2z1yBOtLGzErAyURSwAiSIGaRQwMJzuCfR4ua9+e++u5xz7pvyyzfP 3shzzj2FxWBNnnNHYcdgg75zLVhrA+eOFDk3W+jcNfx+CcsVO5fF+iTu3OO4 nfEbzyZgzYpRCTuEu28Lbf8scq4cvz/45sPvzLGDu39g77HfxjqnPPsKnGvP d+4qLI3f/bAMbNozn1lYDfLvqp750Lkl7GuQ54XOZ2BVSecW8X0BtlJkNazF bH1VaPuRuPXDXtaLrQ/mK0etSXwbwtqZNJ8B9bWh3hqAUQ77eq0jikP/6qRh 1Is7Y7BRz874jfGHsT6EvcG3PM/qiWFdQQ+vsb+FvCuh5ayLLOdh5Z0QHoyz Bp/vqHsZ6+/Q8DyIu+M465Mfa6EP+2MtvTr7Af8tfNvvG67b/3Gxo30QGg7E ozXh3LmEccf6ryeth2XVsBpa3HZYhyyjXOyd9VJL4+KZfP7EvU3YJPa3feud GIzpnHyW+MYveU7nmz6ojV3VmRW+9J2CnQ4Mt/uR8dYpLqjztOrKqk/WsQpc K6QJaoWaqZTfGc/usU+elSpGk/RO36/yp/YXtF9SnDLh0SfciV9ad/d6lSYb C6yvd57pc1X1fPSttueR4Z/UPJJT9jUgnZOLMs3opjDh/OY0wzwnZ/T5jJiP sL8bGS6MRW30iZsx9cu47IfcVitXhW+cbYRWH7XL+tsSVl+L3pImYUetrotf ap1xS3XWIWx4r029ZXSHdXAeuhKWo1+4s/epyObwC2opkU+p3pVm7x8Xzarj RGAYEkv6dsuf/FQJt4zqYQ6e9ySs3nX1z/p7dDcmP3LJelq0Z74S5SYGB3zT 6K/QcOR35q0LbJYXfbvXqjjdykmfSXFJLELNIGeR9TNHnt6FAem9PrI73+Bz MWX4TOk95KxwLjgr29IGtdaod3ZWs8N5I6/ktyGy+ljnNPa10ifnb06+nJ2T geE3GNl5rTRMvVXpfaDWhvXWHRNG7JH6IS/Ek/rm/kLK4o5LBw80w/ciw4Ca JlbUeE68UMPkqV+9she+/0OR5b2D9ZNveY4HhnOXeKRm2CM5ZJ/cX0INV1KW K9Ibyf+brOK3C89TkfVODKY1N3vvrm+9zmM9n7J55n8g3wnyUqn6t8RFWv91 M+JhVLH4ltfF7R3+C/bbECg= "]], PolygonBox[CompressedData[" 1:eJwlkU0vQ2EQhSfcRKP09r5bLKo+wm8QEh9tlyKRsJAIe7YWIhJarY2IdOeH 2PgXFkXUriUpKRIEC8/JLE5y5p4zM3fOm9vaXdnpMbNREIGx2Oyj3+wNdBKz NujAjxBb8ONgdpY2Owd3eCfAH/oP+ER/ApeR9zzDy/hHIu+pwIfxP6I9gAZ6 hXqwz2x1gF70pazZMv6plFkBvplx/gLms+6RV54yvbN864Xn0efgteD/esG+ U/gtnmvm79HTpQ7snE75zgR+g56jboH92D3yamaDugnqzOqil5i/nvFdbTBD /cWMX25ZxFPFWw2+Wz3qrYFC2jP6TjwjZaWe8dh71KvMXxPPXNm/g3zsGSmr JhiSNzhXpgvwYtb/TTdt828nwd9GNx/iLwWfpTcpBr9Rt16hH8SeqbKdBBsZ v0m3KZM16vvYNb2Z3u4fwB9UoQ== "]]}]}}, {{}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{3965, 4838, 3966, 3964, 4052, 4782, 3672, 4156, 3673, 4783, 4055, 4159, 4158, 4056, 4848, 4057, 3968, 4743, 4058, 4740, 4742, 4741, 4160, 4675, 4676, 4569, 3867, 4568, 3868, 4059, 4785, 3677, 4162, 3680, 4787, 4061, 4166, 4165, 3973, 4840, 3974, 3873, 4368, 4369, 4370, 3683, 4167, 4168, 4062, 4744, 4746, 4745, 4169, 4678, 4582, 4583, 4581, 4585, 4584, 4679, 4680, 4589, 3875, 4588, 3876, 4590, 3976, 4599, 3877, 4598, 3878, 4600, 3977}]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0ktLVlEYhuFlkAMLNc3QieGhQkMQoqKBA7Ogvs8IigIVgiRELLQjmJqk Bf6RNEKJShtUipmaQllqVIPEMHBWWTnSCrzW4Obez/O+ax9gF9S3nGpOCSE8 Rk1mCAVozAjhIe5lhXAsPYRC3XF+uS2EMYwizfwi8rNDaOJXui28ZveKcx32 r3KxPKi/5nqIr/Ml3qVP2OmVn8nNeI4+OanfY17NE+47iXFsNR9GkWe+4BI7 pRhxfd+5E/b3yif5gdyiT8e6rk2+pW/nMnlU3+G6M/a4HL8Bxe49xuV2xvm7 2UR8f7yO720+yfvMp/iH+XT8LrzFbvM3vN98hn+av+MbmMWK/J4PmLfysnyT s5HiGzeh03uexkE7Z7jfzpx5G+YxIJ/VHzJvl+/In7iLP3I3V5hV8mF8cM+c eJZ3xD080te6x2ddnryZU3FbV4dK58/xE3sL5kfkKhyV78oLdvP5C+/kHgyZ nXdmUVcYv4m3x2fjgn6JvyE3PhPdugYk4j/HT53/6ly1nIz/nPzL3m+sYBV/ kNCv81+s4T/+IanfAMDBZec= "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV09tPz3Ecx/FPBxQ6p1L9OrCZC2PMhbFy5s4wmxtTOkoqbMrhIoQ/A5VD wiiHnOfKIec5XNiMqc1Wt4WN8PhePHt+3q/3+/35/vb7fSutatncHBdCiPen MTWEkyjNCKEE//AXu2QnUOxchHGMoUF2HDHnQoxiBPWyDhQ452MYQ6iVHUWu cw6+4guqZGmcipTo2WkhfOYK+XSehqmIyT/xNnkyJ2FK9Ax5B75nhnCMP8ry +D3n8gdu57ecza/4DV5jhZ2l6SEswzu9K+qt7l+i3sLtSDSXgJd4gc2yEH0/ Zv4i014bhu228nO9DH7G6TzIy/XKsdj8EX4mb+dBXiRbiE3uneA/+I00vX0Y MreX58sW4JFzr2yj+XnqDdyjfihPwWPPe4onKJPPNdPKbdiPgziAJrO3Meo8 wHPM3eRZWSHc4gb0Y0S/j2frX+VS/Wtcjxa9PWjGFXWJmSbnwz7Tbv6lTpbX oVu9PnqPZOu4S31ZXqSOoTfad/clTsKD6Pflh7zWfKGZNdxp76K8FgWyC1xs r4cn4575SXyfV5vPN7OKz9g7L5+pzkOj+px6FzfgpyxRXYPT6pV2cmS5OCvb KevmGep650P6dfxDnSC/G73LHPNZqjk++n5lcXwnetfMZ5nNRlf0+e12cqa6 Jvpd9Kt5XB3kA3YqudB9O/if/s3of5JvRe8UX+cbuIZ+9KFcnuGOMj7lvjN2 06P3CVXq0+odXIkx2YS5Ctk39Xb+DzAchZ4= "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1fV/V2UUwPE76S7bn1QUBIMc6X8g4UBpUOwCi7BbYmxjGyPGxgIYGylI jO4cjcRPivWDLwVGp+L7/PDZ5znnOee5d/c+z/0+OHJ02qiUJEmu+dOvSZL8 3DxJ+vM/jdE0SdqJ2yNNbkqzJDkjf0b+Obkxxs9zDXFNzFRTIO4oX0vciTP1 ZCED2ZiKzvK5PA05OCvO41Sewed4OlfH+ta8r4Xr8Uy583Jnrd0hroPO6IRZ 5vKj19wA8Vh1A7m2eJbeQcb5XFdcB13MF6gvxGxcEM/hrlzMF7mIL8U6+u53 DwO4RO6yXLU1Uq3ZBYPku3Kpublxj+YGi8epG8L1xLPVDDUu4Abi+uhmfr76 MszDFfEC7s4VfJXL+Vqso+8B9zCYF8pdl7sQa1izO3qiBxaZWxz3b26YeLy6 4dxQXKh3hPEcbixuhB7ml6q/wUv4Ji/jX9Sdxq94WtwT+8yl6Zkql40s5CIH VeZ2mMu0dhW/hbfRC72RLT+Q/469hRwcFN/rf2plnFijNbcS75XfhxS5NnLd 4pmgB9qKd5m75Xo7eQ92Y2/slXj3+EPNCT6Fk1Fjrp+1jhofw370jftXd8D4 Mb6NPBwW5/IhnsZHeCgPQ2E8Z2v9Z/xsnAn0xhRxL87gPpzOf8Wz43PoF88s engU3sFk8TNq3jT+CauNM6193Dgj9rj50+gr7hP9cv3j3OF3+XT1v8WZjL64 Ni5EHOeT/8R5VGO7nklxTUzERmxAG88zXf0Vva+LL/MbnCVXyNvwPSbgO6zH unhe+iaruaR+rfg1FMQex1Z8g2/xNSqxBq31nFK/Ud898c7Fk4wvyq02/yry 46xiC77EV/gCq7ASj+o5qX6Dvrut8Yh4YpwDuR/NvxLfIMzAZnyGz/EpVmA5 Wuo5oX69vrus8bB4gvF5uR/Mv4zpyMMmfIxP8BGWYSke0nNc/Tp9d1pjiVwL XswvRZ38tNiXPJ7ncef4NvCxOKPxzuPZiZvrWyhuxhU8Mq4R30fexeO4lDvp L+Ej+srljnKluKm+BeImXMYvYol8Du/ksVzMHfUX8UF9h3EIa8SN9DVGQ8xX +wIWy2fzDh7Dc7hDfCu5St8B7I/3Jq6vrwHqYZ7aEVgkP5W384exN7h9fGd5 j7592ItV4jr66qI25qodjoXyWbH/+IPYF9xO/6w48/p2YxdWimvqq4UaKI1v Hiridyf2Ir8fe4Kf0j+Dt+nbge2xZ8Qp+u5AgpI46yiXz4h9yO/FfuAn9efx Zn1bsQUr4lvAt/EvitUOwQL5KbEH+d34jvAT+nN5g7pNcQ6wXHyTb+EGitQO Rpl8euw/Hs05/Hj8fvLa2Lux92K/iq/xdVyN77raVHXz5btyF1TGe0Zb4/8B htQ1IA== "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0sdSE1AYQOHLzpUKYsOCIBYgCWXBDpQOIrZHYIEKCFIERJGiVB/A9hi8 BzowLGjSIQl7mLHM8GVx5tz//BfuZJKclq5nnWkhhDlEzoRQmR7C/OkQls+G sIKYtpwRQpSr7X7aVfEvruFSvY4XzLW8yPVcpjfykrmBm/AAp/yvI7tjVCDd XM7d7uWh1Z3n+O3tDWwiX//i3j33Vpxf2K/ySz6nZ+CPXYH21fm+cxxVWDNX 8l8U2n8zVzsnUIt1cw3/Q8T+u7nB+RJveXtNa/POeXMmesxJ+3pcMNfxRf7P pXaz7n7GNA7NM1zCU5zkSU7wU/efoMjfxnDorbg+Yf9Yj2oRJPUD/ZP+KPUZ tAIk9I/aOPLNfe7c5bg+po3ijrlXv80H+oj2AXnmW7iJXOzb7bs3bNfsjRzt Bvb0Pf29/lDP1q5jV9/V36W+V/2adhU7+o4+lPqu9StaFrb1bb1R+2Eudn7r zhYP8CYPchH38wb3pX4D/IZj3Mvr/Jp70I2ouZO70I5X6MBlb5wAuNBiFg== "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwNzckuA1AYhuG/NcXUlr2hxLBDEGNwAcaqea7a0boY6qZYSMRUtlwAEnae xZv3fN//n3OyhXKulIiIIjpSEfNtEbc8x3e8wDXtEUl8pSO+MYxXeYjP7XTi Sh6R753HuCqP8oXchWt5XH5wnuQJfOIDDWZTXMv1qMOP3Gt3w/+bWMeLnOce zvEzr/ETz9qfQcbdNN4zEY/6VfOU3IpLuYXfzFb0y2iWy/omruqXdItolEv6 LCrO097+wy8GdUU7ZzjBKQoY0B/xMfZxiAP063d5D1vYwTb69Al/JnHj3bx/ Khxyt9k/O3oteA== "]]}, {}, {}}, {InsetBox["100", 4904], InsetBox["200", 4905], InsetBox["300", 4906], InsetBox["400", 4907], InsetBox["500", 4908], InsetBox["600", 4909]}}], {}}, AspectRatio->1, AxesLabel->{None, None}, AxesOrigin->{0., 0.}, DisplayFunction->Identity, Frame->True, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], 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"}}}}, "GridLinesInFront" -> True}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.882869943813424*^9, 3.882870081259675*^9, 3.8828701166396313`*^9, 3.882871729377467*^9, 3.882871865813219*^9, 3.8828720659863653`*^9, 3.882872131858041*^9, 3.882873121832155*^9, 3.8828734641296663`*^9, 3.8828736620083113`*^9, 3.882875873212578*^9, 3.8828759718578873`*^9, 3.882876170985383*^9, 3.883105853929991*^9, {3.8831099767956038`*^9, 3.883109996566893*^9}, 3.883110210204383*^9, 3.8831103304892282`*^9, 3.883110463645043*^9, 3.883110763208725*^9, 3.8834689541537952`*^9, 3.883473334934162*^9, 3.8834793891091433`*^9, 3.88347964277168*^9, 3.88355384539804*^9, 3.883646077759963*^9, 3.883646562487159*^9}, CellLabel-> "Out[114]=",ExpressionUUID->"5d6b7975-54f9-4f76-9afe-74ad694852e3"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"q2", "[", RowBox[{"Et", ",", RowBox[{ FractionBox["thetaCM", "180"], "Pi"}]}], "]"}], ",", RowBox[{"{", RowBox[{"Et", ",", "0", ",", "50"}], "}"}], ",", RowBox[{"{", RowBox[{"thetaCM", ",", "0", ",", "180"}], "}"}], ",", RowBox[{"PlotPoints", "\[Rule]", "50"}], ",", RowBox[{"Contours", "\[Rule]", "10"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}], ",", RowBox[{"ContourLabels", "->", "True"}]}], "]"}]], "Input", CellChangeTimes->{{3.882869946235857*^9, 3.8828699513682823`*^9}, { 3.882870053861499*^9, 3.882870058838035*^9}, {3.882870091343609*^9, 3.8828701131764917`*^9}, {3.882875864487756*^9, 3.882875867330675*^9}, { 3.882875978035491*^9, 3.882875981124445*^9}, {3.882876107810185*^9, 3.8828761458585567`*^9}, {3.88310999739314*^9, 3.8831099975130577`*^9}, { 3.883110316326748*^9, 3.883110322401126*^9}, {3.883110467842113*^9, 3.883110468060246*^9}}, CellLabel-> "In[115]:=",ExpressionUUID->"19052f96-5012-4bb8-8d61-ab162fcff6b3"], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxsnQeYTcf7xzeiRsm1Olmusvpi73asO9au1dnVrbJ2V0m0IKIlCCFqCJJI k5CEaJFoIaIL0SXRiS4hsUL0/r/n7P28x8zv7/E8no935txz5jvlnXfmzCmb NiC5R7aAgIB/SgQEWP+af4r89OnYD1tf9+ocoGB3yX8apL+ZW+l2l7Bt7l1Y uIz9H8WFKzSe6fv7kpHfLTyn9fVBL3QtJ1zKvl4F4bnW3Q2qKFzWvn5l4a++ rxd+5J2qwpXs36suvPjspcI/fVpDuKj9+7WEj76z48HBDqHG/XiEO9oPFGY8 b7jwyTX9fH8jhO3SHBQp3KXFlj1VhkUJl7YvEC2s/05+hR46BygYPXS7Sxg9 YPSA0UPP7xZGDxg9YPSA0QNGDxg9YPSA0QNGD/1+PMLooT9vuDB6wOgBoweM HrCuR5ChR5ChR5ChR5ChR5ChR5ChR5ChR5ChR5ChR5ChR5ChR5ChR5ChR5Ch R5ChR5ChR5ChR5ChR5ChR5ChR5ChR5ChR5ChR5ChR5DoMc7K9kJF0UPnAAWj h253CaMHjB4weuj53cLoAaMHjB4wesDoAaMHjB4wesDood+PRxg99OcNF0YP GD1g9IDRA9bbR4jRPkKM9hFitI8Qo32EGO0jxGgfIUb7CDHaR4jRPkKM9hFi tI8Qo32EGO0jxGgfIUb7CDHaR4jRPkKM9hFitI8Qo32EGO0jxGgfIUb7CDHa R8j/jFvooXOA3Bd66HaXMHrA6AGjh57fLYweMHrA6AGjB4weMHrA6AGjB4we +v14DF3CjOcNF0YPGD1g9IDRw/QbstpLpNFfRRr9VaTRX0Ua/VWk0V9FGv1V pNFfRRr9VaTRX0Ua/VWk0V9FGv1VpNFfRRr9VaTRX0Ua/VWk0V9FGv1VpNFf RRr9VaTRX0Ua/VWk0V9FGv2V44f1ty8UI3roHKBg9NDtLmH0gNEDRg89v1sY PWD0gNEDRg8YPWD0gNEDRg8YPfT78Qijh/684cLoAaMHjB4wesD6+BFrjB+x xvgRa4wfscb4EWuMH7HG+BFrjB+xxvgRa4wfscb4EWuMH7HG+BFrjB+xxvgR a4wfscb4EWuMH7FGPxVrjB+xxvgRa4wfscb4EWuMH7HG+BEresy3n0OJHjoH KBg9dLtLGD1g9IDRQ8/vFkYPGD1g9IDRA0YPGD1g9IDRA0YP/X48wuihP2+4 MHrA6AGjB4wesD6exxnjeZwxnscZ43mcMZ7HGeN5nDGexxnjeZwxnscZ43mc MZ7HGeN5nDGexxnjeZwxnscZ43mcMZ7HGeN5nOgB6+N5nDGexxnjeZwxnscZ 43mcMZ7HiR7v3p7ne5J40UPnAAWjh253CaMHjB4weuj53cLoAaMHjB4wesDo AaMHjB4wesDood+PRxg99OcNF0YPGD1g9IDRA0aPt+3xvaHooXOAgtFDt7uE 0QNGDxg99PxuYfSA0QNGDxg9YPSA0QNGDxg9YPTQ78cjjB7684YLoweMHjB6 wOgBo8eImBw1F55NFD10DlAweuh2lzB6wOgBo4ee3y2MHjB6wOgBoweMHjB6 wOgBoweMHvr9eITRQ3/ecGH0gNEDRg8YPWD0eNW+UGPRQ+cABaOHbncJoweM HjB66PndwugBoweMHjB6wOgBoweMHjB6wOih349HGD305w0XRg8YPWD0gNED Ro+eb/Ze+uK0pqKHzgEKRg/d7hJGDxg9YPTQ87uF0QNGDxg9YPSA0QNGDxg9 YPSA0UO/H48weujPGy6MHjB6wOgBoweMHp3t32kueugcoGD00O0uYfSA0QNG Dz2/Wxg9YPSA0QNGDxg9YPSA0QNGDxg99PvxCKOH/rzhwugBoweMHjB6wOiR bCWLaSl66BygYPTQ7S5h9IDRA0YPPb9bGD1g9IDRA0YPGD1g9IDRA0YPGD30 +/EIo4f+vOHC6AGjB4weMHrA6JH1HK1ED50DFIweut0ljB4wesDooed3C6MH jB4wesDoAaMHjB4wesDoAaOHfj8eYfTQnzdcGD1g9IDRA0YPGD0+t/MliR46 BygYPXS7Sxg9YPSA0UPP7xZGDxg9YPSA0QNGDxg9YPSA0QNGD/1+PMLooT9v uDB6wOgBoweMHjB6fGz/brLooXOAgtFDt7uE0QNGDxg99PxuYfSA0QNGDxg9 YPSA0QNGDxg9YPTQ78cjjB7684YLoweMHjB6wOgBo8f7dkG1Fj10DlAweuh2 lzB6wOgBo4ee3y2MHjB6wOgBoweMHjB6wOgBoweMHvr9eITRQ3/ecGH0gNED Rg8YPWD0mGHP19uIHjoHKBg9dLtLGD1g9IDRQ8/vFkYPGD1g9IDRA0YPGD1g 9IDRA0YP/X48wuihP2+4MHrA6AGjB4weMHpMsW6jTFvRQ+cABaOHbncJoweM HjB66PndwugBoweMHjB6wOgBoweMHjB6wOih349HGD305w0XRg8YPWD0gNED Ro8Jdvykneihc4CC0UO3u4TRA0YPGD30/G5h9IDRA0YPGD1g9IDRA0YPGD1g 9NDvxyOMHvrzhgujB4weMHrA6AGjx1vW9PC2o4fOAQpGD93uEkYPGD1g9NDz u4XRA0YPGD1g9IDRA0YPGD1g9IDRQ78fjzB66M8bLoweMHrA6AGjB4web9jx rPaih84BCkYP3e4SRg8YPWD00PO7hdEDRg8YPWD0gNEDRg8YPWD0gNFDvx+P MHrozxsujB4wesDoAaMHjB5DX+jqS9lB9NA5QMHoodtdwugBoweMHnp+tzB6 wOgBoweMHjB6wOgBoweMHjB66PfjEUYP/XnDhdEDRg8YPWD0gNFjkH2hjqKH zgEKRg/d7hJGDxg9YPTQ87uF0QNGDxg9YPSA0QNGDxg9YPSA0UO/H48weujP Gy6MHjB6wOgBoweMHv2s7mteJ9FD5wAFo4dudwmjB4weMHro+d3C6AGjB4we MHrA6AGjB4weMHrA6KHfj0cYPfTnDRdGDxg9YPSA0QNGj952vDdF9NA5QMHo odtdwugBoweMHnp+tzB6wOgBoweMHjB6wOgBoweMHjB66PfjEUYP/XnDhdED Rg8YPWD0gNEj3U7XWfTQOUDB6KHbXcLoAaMHjB56frcwesDoAaMHjB4wesDo AaMHjB4weuj34xFGD/15w4XRA0YPGD1g9IDRo6v9O11ED50DFIweut0ljB4w esDooed3C6MHjB4wesDoAaMHjB4wesDoAaOHfj8eYfTQnzdcGD1g9IDRA0YP GD06Wj/boquzH07jAAXLfjjN7hJGD1j2w/lZ9sNp+d3Csh/Oz7Ifzs+yH87P sh/Oz7Ifzs+yH87Psh/Oz7Ifzs+yH067H4+w7IfTnjdcWPbD+Rk9YNkP52fZ D+dn9Ghjr4d0Ez10DlAweuh2lzB6wOgBo4ee3y2MHjB6wOgBoweMHjB6wOgB oweMHvr9eITRQ3/ecGH0gNEDRg8YPWD0sO87MFX00DlAweih213C6AGjB4we en63MHrA6AGjB4weMHrA6AGjB4weMHro9+MRRg/9ecOF0QNGDxg9YPSA9fVB Rw+dWR9MNdYHHT1g9ID19cFUY33Q0QPW1wdTjfXBVGN90NED1tcHHT1gfX0w 1VgfTDXWBx09YH190NED1tcHU431wVRjfTDVWB909LCf67Gjh84BCkYP3e4S Rg8YPWD00PO7hdEDRg8YPWD0gNEDRg8YPWD0gNFDvx+PMHrozxsujB4wesDo AaMHjB5Zz9ld9NA5QMHoodtdwugBoweMHnp+tzB6wOgBoweMHjB6wOgBoweM HjB66PfjEUYP/XnDhdEDRg8YPWD0gNHDfu7Ljh46BygYPXS7Sxg9YPSA0UPP 7xZGDxg9YPSA0QNGDxg9YPSA0QNGD/1+PMLooT9vuDB6wOgBoweMHjB6ZP1u mrG/PU30gPX97WmiB4wesL6/Pc3Y354mesD6/vY0Y397mrG/Pc3Y355m7G9P M/a3pxn729OM/e1pxv72NNED1ve3p4kesL6/Pc3Y355m7G9PM/a3p4kedrn8 7uihc4CC0UO3u4TRA0YPGD30/G5h9IDRA0YPGD1g9IDRA0YPGD1g9NDvxyOM HvrzhgujB4weMHrA6AGjx0y7oNJFD50DFIweut0ljB4wesDooed3C6MHjB4w esDoAaMHjB4wesDoAaOHfj8eYfTQnzdcGD1g9IDRA0YPGD2s6OL3Gx09dA5Q MHrodpcwesDoAaOHnt8tjB4wesDoAaMHjB4wesDoAaMHjB76/XiE0UN/3nBh 9IDRA0YPGD1g9Jhq72/IED10DlAweuh2lzB6wOgBo4ee3y2MHjB6wOgBoweM HjB6wOgBoweMHvr9eITRQ3/ecGH0gNEDRg8YPWD0yGMtTy1y9NA5QMHoodtd wugBoweMHnp+tzB6wOgBoweMHjB6wOgBoweMHjB66PfjEUYP/XnDhdEDRg8Y PWD0gNFjgr3fpIezv0TjAAXL/hLN7hJGD1j2l/hZ9pdo+d3Csr/Ez7K/xM+y v8TPsr/Ez7K/xM+yv8TPsr/Ez7K/xM+yv0S7H4+w7C/RnjdcWPaX+Bk9YNlf 4mfZX+Jn9Hi+5sKzl2Y7eugcoGD00O0uYfSA0QNGDz2/Wxg9YPSA0QNGDxg9 YPSA0QNGDxg99PvxCKOH/rzhwugBoweMHjB6wOgxxt7/01P00DlAweih213C 6AGjB4ween63MHrA6AGjB4weMHrA6AGjB4weMHro9+MRRg/9ecOF0QNGDxg9 YPSAA579M8bRQ2f/eWRjHD10u0sYPWD0gNFDz+8WRg9YO49sjKMHrJ1HNsbR A9bOIxvj6AFr55GNcfTQ78cjjB7684YLoweMHrB2HtkYRw/4yVPrD+cDPPbC WedpFBU75QRnne9QRTjrffZawlnv74YLD7P3F0UJZ9jrxXWE7duM8Qp/Zj9H feFZtpAN1AsdF56JyB+jhnb8eOB7uRKEBzxs+t3PfzQUTvvs8bX7KxsJt/Uu D6kxuYlwi3OpfdNSmwknjAtc8kFkC+HPAs+/1iNnK1Xbuu1LYaqcXTytlNXL l/wnXJj0n16oPXv0DSf9S3b8I0nSw1nVPUL4DXsfXKQw15u1atbKj04lyfWK 2/PFZLkezPVgrgdbqux4ECXM9SePv/rbyp3O9QJtf7u1XA/mejDXg+V67RL+ 27fCyV/A9k/aSH6Y/DD5x1aaW/DyZ449t91/txX9Tc5u1992wk+s5+jTXviB Vf3adRC+ZS331e8ofN1qRtU7Cf/ta6Vji6UI/2k122ydhc9a1T3T4VNWuz3W RfiIVYzbugr/6qvNOZZ3E7bfR2yeKnzeuv5Wh1OtBhDd3bm+9XvLHO5ktc/y ac7vWb8/x+E2VvMskC5syzouXW9f9x3ebd3fgAzhRla3ddHh7VbF6NRDOM5X XEsPOLzZaq4J9KdnvfQfdO1mf8L/6/1Nfslv9jecB6f3RxUNe4jRP3mM9JFG fxVj5I81+i9lXC/O6M/ipb7uPPRFye43nf5n8+vJHd/flSi8pnj2Obs+byz8 3Y+rjzwe0lR4budeRTzNmgt/+KR4m57lWgonturRuPkbTv/iLbuxd69eTv+g /is68a1kpz1HbBuw8JNYpz3WnP3LjtWV28j9m/vTzfbE/ugzVr0cG6N2+5Ln eqZ9sV8XZr8ozH5FmP1yMPu1YPYLwexXgdkvIXr51+ulvvvXi2HWK2HWy2DW a2DWC2Di1br+TvsiXgcTL4KJV8DMl2Hma1Le/vkCjL8K6/7jWS/tjXYEa+1r jJM+wPhD+9Lsz/gH9OfUD5Ppr/v6dG0aF6NW+Ir3r3IRwtZVWx2IFp7oe761 I+sKW9XFVVgJW48b/3d94WBfcQ7f3EAdsvq1+lnnWtVd307sth9446oXttTZ 3zJQ7NZjrB3jFrbkmXS8krDdnXlqCr/iq33vJ4QJW/3nkxuRwspXe3rOrS1c 1dddHmhSTzivrzw+eeg8z3O+4jz4a5zwXZ/82b+JF860SnFUQ+ELvnbWt00j 4eO+5/6iahPhAz55Dwc0E/7Zp1Keo82F1/taV+yylsLHfPnXbmklfMjX//++ NEl4v+96mR8mC9vte1xrVcDWOdr+vRwDHH23+36vbP82Ym9mjw8O77YLtK0K 8unSwJfe6j/iOrYVe6I9XrQVPa33v7fFt7PrtceX/gVfBRhfs73kt/qP90p2 kN9f6tP/qxwdhRf4WtPG6w7P99W3Yyc7OfXPV73/25EiPMd3u/lWdBae6but ip91EX7Xd1tqYlenvvruq9PgbsL1ffrXrpkqvMFXwXd+5XAdX31uU7K78A8+ Pc5NdzjCN0D3z5EmbHVHD0c4bNX/idcdXuLrQIr0TBe25PjypMNf+8qjVlKG cHlf/d6ww+HPfT/QpG4PYatcj37v8Ce+8sqo1FOYfgFmvIbpL6Q8/f4/jP8v evj9f8tvSPTxDV/qjbXCha3kFf+IEt7p+3f6pDrCVva7EV7hVr72XGtgfeGG vvqUkdhAfm+S3X8mCI+2xyenfQ2xxyOnffWxxx+nfXW3+z2nfbW3x5cWwhXt 8cRpT/j7MP46jH8N038uT+94MT7O8W/pr2lP4o8Z7YnxGca/lf7M79/C+LfS P/r9Wxj/Fsa/hfFvYfxbGP8Wxr+F8W9h/FsY/1au7/dvYfxb+T2/f/ts/2z5 tzD+7bP9v+XfSv/m929h/Fvp3/z+LYx/C+v+7UG/f5sp7QP/VecgYfxV3R5i tCePkd4Zf/BX9fyxRntTxvWc8Qd/Feb8Jpjzg2DOr9H0nNZUmPM7YM6PgDm/ QPoj279y2gfvb8O8Pwzz/ir1HX810WqG/vHF8k9h/FHS449yPfxRGH8Uxh+F 8Udh/FEYf1T08PujUj/9/iiMP6qXj8P4ozD+KIw/quvrtAf8URnf/P4ojD8K 44/C+KMw/iiMPwrr/uhBrx3WSjPGk2fiT2Z8wnyf3IxXmO+Xm/EL7KSnvmA3 mfrD75vnD5i/j90up1WRtj92cI6Tnv6c54Ptx1kXZftb/4xz7PjLPC9cY6Hl 2Dr9vT5fzvRSvro/f1D8ecrHzI8edrUOjVTt7P4yq32djIwS5vdNe5Ldfzp2 kxmv9tr9foSUD+XNeAhTnpQP6clPeVHeJuOPkh9GL8ZHyhcmPeXD/RAvgulP eD78VcqX9Nh/tscD5/1Xnpf6AaM/bI9jHcqKf5Xlh9QUJv4Gc38w+fHHyA8T H4S5Hsz14IV2RSkt/hzXhy9bfsKHzjnr/B7M78FcH84al0qKf8jvwVwf5now 14OzyrOo+JdcH84ap6oJc32Y68PUH5jfg7P0zS7x62A7np9POOs5A4W5P9j2 e8ZWEeb+4Kw4uEeY+4O5P5j5OvHzrPWQe8LcL2z7WcMqCXM/ML8P83uw7Yel l5f4vO2n9QsW5vrwWst8MlSY68NcH0Y/4v3UD5j6CHM/8B2rWI7UEub3YX4P pvxYT6D8YMoPRm8YvWH0hnkemPYCc78w4xHM/cLcL+sd1B+Y+g3zezDXhyk/ 5kvoCaMnTH2B+X2Y/gXm92Dun/kY5Q1T3jDlDVPeMOUNU94w9Qem/sA8P8z9 w9RX5ou0R5j0MOXNfBJ9YeojzPVhyof5J+UDUz4w5QNTPjDlA1M+MOUDUz4w 5QNTP2DqB0z9gKkfMPUTprxg+lvm2zDzbcqH+TblA1M+MOUD055grg9TXozP lBdMeZnjN0x5wZQXTHnBlBdMecGUF0x5wdQvmPoFU79g/L8Uez6dLOWJv0p5 wpQf/in1C6a8YMoLprxgygumfPDPKB+Y8oG5X/wvygemfGDKB6Z+EC/h+WCe D6b8YJ6P+ArPB/N8MM9H/IXng3ke4jGUP0x9gLlf4jXcL8z9Eb/h/mDKA6b+ w9Rf4j3YYe6X+A92mPIlHoR+MP0nTH6Y5yF+xPMQP6K/hdGbeBLjDfEkypN4 EnaY9kJ8if6B+BL3T3yJ+gCTHqY9EH8iPUx6GH2JT5Ee1vwVH1MexK/ID5Me pryJb2GHqR/Eu2hPMPlh8sPkJz5Gfpj8MPlh8hNPIz9Mfpj8MPNF+jPmZ8zX 0Bs77ZN5sT7/yi/1Cbs+H8sv9Q+7Pj/LL/UZuz5fy2/M94KUfn3ne2nm/A27 fj3n+3DMryhP8/th5vwNuz4/rGjMB53vnzHfov4Rr+R6sH6/Icb9Ot/zYj5F e9HeW5XvczjzN+z6/NL5/pI5f8PO/jDmS/RP5veVdHthYf37CM78zfxekTl/ w879mN9/Yj5FPYHZ3wazn8ycvxH/5fdgfs/8nhDzK/p383s22Ck3c/5Geq5v fk+H+ZQ+/3a+54Kdegizv82cv5Ffn48736Mx50PEtyk/fT6X25g/uZQ+vyss TP2E2Y9nzt/4PeI55vwNO/oy36J+m/M383sb5nzN/L4H8yn0NL8vgZ36A1Of YeJT5vzN/J4G8yGeB6a89flcbqXbXUqf3xUWprxh6pOe323M/8r9z3zN/J4C 8zHah3meP3b0Zf6Fvub59NhpH/p87brMzygfmPLR53O5lW53KX1+V1iY8oEp Hz2/25j/lROmvsDUD5j6AVM/YOorTP2EGW/N+RrrP7B5fjjzLcoLprz0+V1u YfxDk5nfMB6Y8z3zvGvSU74w5QtTvjDlC1O+MOULU74w5QtTvjDlC1M/Yeqj fj/O/I76r9//dZnPUd4w46HJzM8of5j6ClOeMOUJU556frcw/ZfJzPcoX5jy hSlfmP7UZOZ/zAdgysO0M99DH+zoA6MPzHhpMtejfsOUr253CeMfmcz8UvY1 +u34RyaTHn1g9IHRB0YPk5m/0v9ih7GjH4x+MP6Uycx3Gf+ww9ip3zB6wtRn k5kv0x6x48+aTHr6E+wwdvSE0RNGP5OZfzP+YIfN+Tp22DyPjvToCzP/MJn5 PfUZO/XXZDM+YJ6nhp34h8nECxifscNmfEE/f+yexB/QG8ZOPAF/GTtsxiOw y/zFv34v8xc/037JTzzGZOIX9E/Y6Y9MJj2/D/P7MPUJpv6YTHyE+osdNuMp 2GHzvB/s1C/yM980mXiM5k89E69hvwO/R3rqo8nEc8gP0x+Y8R/9PJqzXtJL /Mof/6H+YKd/M5n0zE+ww2Z8yTzvBTv9j8nEn6R9+O0wdtqfGb9iPwi/T3rq o8nEt2gP2KV9+O1cH6a/M+Nl+nkVgZIeJj4m8UAjvsZ+Fdo/dhg7v6efp1D0 f+Jv7Hfh+mY8DjvX088DKCrxNtqnGa9j/wzXg7kerK1nPhO/Y78N14O5nhnP w05+4nfkh+k/zPgf+3m4Hkx7NeOB7Pehv8AOY+f6MNeHuR77hcgPkx8mP0x+ 9heRHyY/TH6Y/HYjH+Pkh8kPk9+0s1+F/gpmP/MJe/xorppY5fRVmMQb7Wnm onBh9q+ctttvkuR3WemuOP27Ob8xv+9j+uvm9y1Mf9r8XoLpH5vfHzD9YfM8 eNO/Nc+7N/1V83xy0z81z1c3/U3z/GzT3zTP9zb9SfN8Z9OfNM/LNv1F8/xj 0z80zyc2/UPzPGfT/zPP7zX9P/N8Xd2/dP+PP2eeL2v6b+Z5t6Z/Zp5/avpn 5nmxpv9lng9q+l/m+Z16/tz/40+Z51ea/hN26hOM/2Sev2n6S+b5i6a/ZJ6f iB3/2vR/zPMCTX/LPL/Q9HfwX9DfPI+O9Pgz5vlupv9insdm+i/meXSmf2Ke T2b6J+Z5YqY/ZJ6nZvoj5vlapj+Cnfprnm9FevpP0/8wz4fS7Y6/Qf0w/RXT PzDPz8E/wD821/PM8Zvxl/prngfC+E39YvylfsLWe0c1Kznjy992v+Osd1H/ ie/iz8OMP/ns348XzmmPDwmSn3gr+WHSZ7PHA4cf2f17ouQn3kp+mPT37P7c 4f/s/rmx5CfeSn6Y9Nfs53bYbrfFmkp+M14Jk/6i3T86bI/Pmc5+FNqv9v1Q H5Peev9kaU2Hx1vV5JVUyU97JT9M+m1W9/R1ql6eZ538tFfyw6S33kfbUdJh W5+23Z31eX97JD9Meuv9pdYzuuv67XHy077ID5Pe7ndzODzcqvcqzVnf97cv 8sOkt96P6jfSYbtfWuPkpz3KecB+Jr2d7LqTf7BVv6qlS37aJ/lh0tvNsqfD 9vA0z8lPeyY/THp7H/Aph+1uqmiG5Kc9y/5sP5Peer9rXpLDdjue6uSnvZMf Jn1lqx/Y6XAvq30810Pys15Pfpj01vtjP9V1+KLVfoY6+VmvJz9M+nJWv7TC 4e5W+8h08rNeT36Y9F9YAlRymP3qvK98ZuLQR68+0z+xPgWz/gOz3gOzngPz vgrM+A4zPsOMvzDjJcz4BjM+wYw/MOMJzHgCM17AjA8w8yuY+RLM/AdmPlOi 04S2KZVi1Cz3n1tSR8Q7553795OTnvcN9PfhM72kZ3+C/ryBxvvRgcb5kuUk fdY46Dber3dLevYbkD5rHK1knBdSSdKz/k/6rPXkmsb5ITXFnnX/OY3zAHKK Pev3SxjnA5QQe9Z6bAXj/f8KYs/wj+v6eSbVxJ61XhxqnGcSqvTyd/T4/8u7 nHG/VYzydfavsz+B8oJJn7XeHCbp2W9Aepj0o/zzGtKzX4D0MOlftsfr2np/ GuPV+1Mfk97u31vUk/Ssr5MeJr3tVz5Wkp71c9LDpLf94N/jhCfa7SlCHz/2 RAt3tW+wrrB9uUAlbP/MZed+XPa/DcQ/o/7YxTavjNSXXfaEoIZwul1upaS+ ZP1uMakftp/xYnVh3s+Bs/7NKc9j+xU5qgrbv182TDhr4Kwkz5s1fyovz/uN 1RG/5BHm/nj+P20/K1Q4y7+/7KU8svbt1pLyYf8pzPNQXvw+/if+LMz94x9y ffw93sex3xfa1kLKJ8tfSpL+75PBZ5a2mnjLC8+5ut295vdCYi//pHLepXFl he+P/zfHm59UFt6Tf01Ai1s1hSf3WDy7VJnnhfMPOPpnuefyCL8ed35TzfrF haN33usd5iklnG/RDyd6Dy8v3O+fuOV/36ggfL7WqMMxv1UVbjA4z+L1TaoL p3Qu13t8kVDhKY97Je/41eFqW14o+PbEc/K8h3p9O3TFeZfYxwyt06/N7DLC HzbICH1YrpJzP3uqVt87soYw/RNM/yTl6e+fYPonmP5Jv15+g4OUfv2Khj1E 5uPMd5gfm/E3xqOs+a5bxpvJdjuoKWzX5w+DZHyx/ZCxJWT8sONmhUOEW/jf J4Ozfr+I9Kf2POCFasLEB+Gs+8om/ant9wdUEc6aZ1WU/tNut597hG0/+2w5 6S9/sR7n41Bh7p/+Masd1RImHgnzPiH9I+UD8zzMF9l/CXM/zAcpf+Z33D/z Na7P/IvyvGDPj5z9Ifx+VnykoLTnrHpQSOKplCfvJ9If8n4g98f7ivQ3vA/I 87F/lP5Jf7/vljfO6jd/bOePXzzybrbDKu2l/LHTf2KnfsRav/t1e+nfrfM6 +pXqIPUDO+MHdu4/2iqIGR3k/tdY1TdnRylv7PSf2KlfYVY1fqOjjA/fW9Xp RkfREzv9NXbKt4Z1X706Sfla53H8dKqTtA/sjG/YqW/Y6Z+xUz5VrHJNTpHy WWi1z50pUl+w0/9jp/5gp71XsISL7Zw1zzxZ1j4f5PqKzqIXdvTCbs+D/6mg ythhoy5Z8+TrweozqxzmdpH6jJ3xCTv1paRVfwt1lfoyxz6Apqu0b+yMx9ip D9iz+qkXVBFrvHzSNet+Py1gn19S77VuUn+xU3+xU59gxkuY8mc9gvInvoG+ 2NEXO/UPO/0p8RD8H+Id6Imd+ood/YiHoB/xDvSHqb+kpz8jHoJ/QryD9oSd 9oSd/hI7/g522gPxEtoD8RDqD3bqD3bqH3baG3b0Jp6C3sRLqD/YqT/Yqc8w 7Y/09KfEW+hPiafQX2CnvsPUF+It0p/44ynUH+Ij1E/iK4xPxEtoP8RD8DeJ b1CfYdoH8RLqG/EP6ivM+gD+AfF4GP/djI+a8U4zfmnGI834ohkvNON/ZjzP jM+Z8TYzfmbGw8z4lhmvMuNPZjzJjA+Z8R7iN/hjoYcyVs9slin+YOTimGbh KYFiv9H5grvPBLfwzouLStU94/iXn/Z9tWj+aMefbvb35tgyrpzCR97uN/v7 dSWE6zZ5vH1RhOMfB/62bdOId6sJ36qe8MfXg535NP0b62fMfxl/mA9hZ76L nfkRdua32JkfMd/kfUX61x62/q3EznoadsYPic/618Ow0/9L/NS//oWd/p77 e/Z8G+v+aB/Ynz3vxrLTPrA/e/6NZSceiP3Z83AsO/E+7NQP7GY8r/aIT3IP aBQm7N74ZPzRW5HCL2ZLe175/Fv4dsLPY75pXk/4Wnzh0bl9/ir8558/b6jr 8w/tuNiZ6Kx+4aJzHmPN7KO+Vu875zEerVqlztejG0p6u8P70TkftuKCmhdf 6+Oc17h774nhx9s2kvSRtn/lnB9butG5covqO+c5bug/dW1+n39L+uq2v+Oc L1v875nd/yjmnPe4xlXvbn2f/0t6e/0/tpnEhxjfsFvnXw2r4pxHyPgEMz6R 3h4XP3fsjDcw441WfoWd8wwZL2DGE9LbzWeyY2d8gBlPSB9v1Z+njp3xA2b8 IL1dn4Y4dsYPmPGF9HYc6G/HzvgCM76Q/kervFIdO+0FZrwhfbRVXocdO+0H Jp5O+lXWDTR17LQnmPg56T1WeW127LQvmHg56b+zHjjSOe+R9kZ/yDyK9Al2 +02Q/Pa4neC0hzr2/CNReJ09/3Dqf6g9P2gsvNyeHzhsx9OTmwp/bfvnDtv9 b4ZTP7+18r/lsD2fPO6w7bfeddjur1s69cn2c/o6bPtt2x22p9vnHbbdtNpO fbH9rPYO24X1ncN2v7vPYXtfR7BTH2y3Ls5h26/4xOHiVre91uHX7QMvHb0/ sNyiGg7fstrPBIcDrf7/S4dftdrLQ4dnWA9YwqkPdvsY6NQHxjfqw5v19xyo MSpCb3++8Q179/E1mn9Y1TkPl/ENe/Ku93Y/PVJX7MT/sM+d8KD8qvrOebnE +2T9ofLStMvFnPNzif9hn7q7y7yXrjk8b9GwWS3+9gi/k3nS9cMHkU58LdT7 bpkGtYW7DJmfd+K/sU7+U2Pj7+1z7u/jUeHjqn8VJ/xbk41vTl8QJtz0i/GX MreEC69+t+zDu8lRjr9z8XJau/5OeX3z29vDUp86v++u3OzsxpJOeU0pevn2 L0vqCefsu7xLpZ1e4ZhlX68rXt0pn8ftJ2XuXOdwaMv295plc8rj9v3a1R9N d5h9DHq8zCkf3gfU42dO+fB+nX49p3yePS/OGs+JX8HEq2DiU/gndvxleUth 5tcw82WY+S/Xo7+G6Y9h+luY/hQ21xeJD8O8vwSzv4f2RDwLJp4FE8+CiWfB taznyuf0X+b4bI6/5vhqjp/m+GiOf+b4Zo5f5vhkjj+UF+X37HmEFj97HqHF 1C/04/0v/FX2M2Invgfzfhj+47PnZ1rXJ74Hsx+S/OxHg9lfBpvfEzbnA8yP uD7+Avzs+XgWP3s+nsXPno9n8bPn41nMeizMeqz+Pu5jr3xv28/EO1ifJD3x dtLDpGe9ifkt6YiXw8SDWH9ivxnxevavwcR7WJ/i+ti5Psz1Sc9+L+ZXsP5+ 9Fkv8yuY+sX8nfzsl4KJHzCesR+P9UKY/o79iqwPwvR/7H/DDmPn/rHr+9ni ZP8g8QSY/pT9oeRnPxtMPIjxkf12xCNg9kOwXw47rL/Pe9ZL/AJm/wTPjx3G zvNjh7Hz/Nhh7KzDYIexs78OO4yd/XPYYezsN+T5WQ+CiS+yP439j8RrYPaL sN8QO4yd8mP8gNlfQvlhh7FTfthh7JQfdhg75Ycdxk75YYexU37YYey0F+ww dvarYoex019hh7FTf7HD2Km/2GHs7M/EDmNHD/192LNexg/0wA7r7wtnl/EI xo4e2GHs3A/nicK8P8D+T+wwdvoL7DB2+mvsMHbqM3YYO/UZO4yd/avYYeyU p/5+71kv7yNQnvr7xPfETn3jfQSY9xWob9hh7NQ37DB2ypv3FWD9fYezXv39 27PyvgPlhR3GTnvT38cNlPcZKC/sMHbul/cRYN5noL7zPgHM+wqUp/7+6T0v 7xtQn7DD2Llf3g+Aed+A8iZeCfP+gLwf549XwvhjlDf+tJyn5PfH8B+IZ+I/ wPgPxDfp34mn07/D9O+sJ6EX8Xb2v8OsH7FexHhM/J3xGGY8Jn5GfTX3f8Os fxCvwn/Bjv8C47+Y6fFPSQ+THn8Vfcz94zDrKcS36E+ws78cZr2F9NRP4r+8 vwCzvke8ivT6eeluYdITr7LjIu4Yic/D+Hcw/iHM/jEYfw/Gn2J+Y6+7dXLi XxvtauHEu1bZ6+VOPMv2g081kfUz830u83tdzFeyW/IdilSP7fqS5MRvLL0a OvO/q1b5/uSw9f2R26HOfM9e11rosP38Qc58zy6/mQ7b9S63M987Yd3Pmw5b 1a3BTYft73D0duZ/yVYFPO2wXT9bO/Nn/Ffs++z6Ei/xHBg7/ieMv6aVxxqn vPGvYPbbwuy3hdlvC7PfFma/Lcx+W5j5Hcz8DmZ+BzO/g5nfafHDZ/bbXnz1 m04F3E78bfeqvMde3+vEj9bd69/2zLPxtdIvX/nymXha4uaSlY89Ez9TaXt7 5tvUQOZ77M/Vz+N67GX+BrPeTnqY+aV+ftdjL/0xzPo++WHy6+dDPfYyv4bZ n0F+mPw8D+OQfl5ZUZmPwtw/6WHmv/r5W0Vlvg/z++SHyc/4w/4w/X3ncnI9 7VyrdVGSHjb3e7K/jOvD+vldVeT6MNcjPcz8Gv+C/XWMFzDr5exXg9k/yn4D 4sWUC/lh7b2pDgUlHsj+AZj9F8zH8U/o32Hm/+yXIZ7IfhmY8W7Us+O0b77A +AATL2D/BfFI9l/A7Bcgfs14xfiin9cXK/tR2F9HfYXxTxiP8B9gxgvSw/y+ 7Bfyx8vZXwKjj24PNM5XC5T4Bvqwvw99YO19d7nfopKf/R2kx5+BZT+QPz6B f8R+Pcqf/bvsV4HxBxmf9fPR42X/CfsL2V8CU7+Yz1N+sLY/p0+ilB9M+cA8 L8z+FBj/ingOzPhGfSJejH8DU5/ID5Nf2+/kS0/9gvFvYfpr4hsw4yvtm3g1 /Q3M/ib2T7MfCaZ8eR+O8oUpX5jyhSlfmPKFKV+Y8oMpD5j9WjD1C6Z+wdQf mPkP+3Vg/A32JxG/x/+FGY/Ir52n4stPeyA9/T1MebJ/lfKEKU+Y8oRpn+Z5 1cQbtPL1+Z+0V5j5Cvlh8mt6+NIzX4Cp7+SHya/p50tP/Yep7+SHya/p7UtP /YeZX5IfJr9WP5YlyX4+mPGB/DD5tfrkS894ATP/Jj9Mfq3++dKzHw+mPjJ/ oL7B1B8YfwamvcK0V5j9efr53ge97IemvsHEq8zzvvX4zAuyf5r9hzDjDflh 8tP+Sc/4A1N/9e/nFJX81GfSU59h6iv7ual/MPUJRm/z/HHiRejPfnD0h9Gb /DD50Z/06A+jP/vL0Yf94vQnxLPkvBV/vIr6wX50+heY+B/5YfJTn0hP/AOm fnE/xDvN89P1+Fc22d/O/leY+kR+mPzUL9JTv2DqD/vhqd8w/Zd5PjvxNeoH ++fpz2D6L/LD5Kc+kZ7+DKZ+sd+e+mSe/048j/rFfnzqF0z9Yf898UjzvHj9 vJKDXvbns78Zpr2z357+BkYP83x54oPow/589IHRh/32lL95Hj3xRPRgvz56 wOKP+/fjE7/jejDXo75q+YuFCjOfIr7JfApm/mS+P8DvM56wP5PyN8/D189D OehlPwN66O8DZP+f8/JZr6Y9sf+B9gTTfxAPxZ/DLudvGefpE29FL9a/6Y9h 9DLP3+f9aPRjvz/6wfinMP0L+/mJ97LfmfgtzP59cz+/vn//npznBhMfor6z v4L5I8z8BKY+sb+a80tgxldzvz77IZnvsR+b+R7M/M7cf8/+SMYP9m9zPgmM 3uZ+fPZLsl5DeublMP0l+WHyc//6+WnO9wy4X/LD5Gc8Zj8K83OY6xPf5vow 1yM9TPyb+SDxbs5bgaU/M94vMN8nwK7Nz++n6/Pz+87vkx7metR39tcwP4CJ v7C/mvgLzHzMfH+B/aO0N/ZfE7+H6R/ZvwOzn5T5DOmJ58P4D+SX+Yo/P/dP eu4f5n7JD5Of8ZH9RNwP6wPcD8zvkx5m/YD7IT33A/P75IfJz/2wn4n7Yf2B +4H5fdLDrE9wP6TnfmB+n/ww+ZnPsB9Xj8fmV3p8Nb+MR7CePsiwO8z7srqd 92ULSzwP/5r4H0w/gj+Onecxv69AvBD/ANa/LxEp+bHDejzwssQLOQ+K+B7+ EXaYeB/9KXbissTzGM/ZzwoT35P1S7+d9kd8TjvfKcYr4yF2mPgZ7Rk79RGm fzG/b0B8j/EL5nwuGP8ARg8YPWA9fh0nv48dZv2M9kF8j/6XeB39LXaY+B3t DTvzFZjzxIgH4g/D6A8zn4Lpz4mf4S9gh4m3Ub+I51HeMOWt2wMk/kd5w5Q3 THnr+V3C+Ft6vLKwMOMpTH2DGX/0/M736ug/sMPEA/G/sLMeTrwP/xnGH4J5 nxCmPImvUZ4w5anbAyQeR3nClCdMeer5XcLa+9+ZzvcTYC3+lel8TwHW4luZ zvcVYC1+lel8bwHW4lOZzvcXYC3+lOl8jwHW4kuZzvcZYC1+lOl8rwEmHg6z v5X9zZyHwn5b9CKeiF4weun2AIk/oheMXjC/RzyM8Qc7TPzMfs+haFTW+vuM JHke4lf0NzD+Fkz/BNO/wKwXwsxHYOo/TP2Hqf8w9R9mHITxN2H8A5jyJ/5G +cPUR+JV1EeY+ghTH2H8Cub/lDfzZezMR+kfOd+K+Q3r64wHrK/L/NO/vs58 Aia9yay/Mz6w/o4dlvNS/f42/gHr8fi7rMfjn8GkN+2s12OHsbN+jx3Gzno+ dpj+SW8vLmW2J13vADmfgv4D/eg/TCaeh79CPBF/Bab9EF+k/cDUP+J71D+T iYcxnyYex3wbpr2Qn/ZiMtejfpGf+StMf058j/4cpn3BtC+Tib+hF/E6/FGY 8id+R3mbTPyN8ideR/nD9NfE7+ivTSbeRnuivTLfhak/xOuoPzD9IUx/aDLx M+oz8TviyzDlTzyP8odpn/QnvM+AnfgaLO8f+39f/F9/fI3+y2Tia3Jej/99 IdaLYMZX4nOMryYTbyP+Sv9HfBam/RBfo/2YTHyM/oz4Gf4uTHyJ/pT2wv5B 2geM3Tw/l/6X+BXxJ+IXMHbz/Fz6Y+on8SfqI4zdPP+f/Ix/pGf8g7Gb5/vT v1O+xHfk+yt+xk58iPk2/T/tn/2ItHcYu/l9TMYD2gvxFtoHjJ14jfY+6Wxn vyD+M8x5ZDD+MUz8Usu/x2H0gylPmHib9n7nPIcZL2HKA+b55P00f7wGJl6i 7SdMc/azsd/Cfk/aFZP1vm5SvLFfLL8TjyYO7W+v7F+ifcP0B+xn0vevBYk/ x34q/f2dWuIfwfhP7G9ivoOd+RLM/ZKe+sL9wcRPqB+k19/nCZf6BJOe/VD6 /rgQ6R+5Hv408Q78bfY7cT/YaT8w7Yf0tH/uByYeQ3snPe1N30/kMO2b/Uvo QXwFJp6CvqSnPyG+QP8H0//p55FdN97Puiznk7Fexf3BxFPwz7geevF7MPEQ 6hvXRy/iB/S3MP0t7YPxRt+PU17261D+PI+uT7zowfWIH/F7MPEO6ru5H4j9 KfSPMP0j76sy/+H9JuZH7FdBL963gtmvS33gevT3/B7M/hjqJ9fHv2A+iP+B /8z4hx1mfkn5s7+C9sN+AtoP/jblhx1mvwHxO/YX0J7xv2nP+NPEE/BviTfg j9KeWP+GWf9m/oT/S3/F9WDWo4nn4L9SHvi7rKfBrMfhz5Ke9Wjmf/iv1Hf8 Xeo7THnjz1Le+LOUN/4n/RX5Ydav8Z/wd/l97LI+5LcTX+D38Ddh+lN+n3EI O8z6Nuuh+L/oib+Knviz7KfgejDXIz7P9WhfXI/2xfWYP5jfX+f9GuYb+Lvy fQa/PyvxYev/CznfW8eOfwfTv5BevpfgXy+mv8Tf5XqsTzNfYb2Z8sIfprw4 /436y/oz9Rf/GP+A93dgzt/G/2f9mPLh/R3mZ7C2X/Ks8z0wrkd953p6/Ms5 Hw5/jd8jPoIerE8zfyA//T9M/8/1mA9wPfYvcD36V/IzPsKMj1zvjWfH+Wjn fSWY9kp67pf1cuZDrIfL9/L88w/5foufiVfiv5Ke+Q3rMayX098xH8GfgBk/ 8H/ley7+9Wf8G5jxA3+Y/pv5Bf0367f4I6zv4i/CjJ/4z/gD2On/Yfp/830r Mz7F+i71mfVT/F8Y/wh/nHgF/hj9H/6Idr7hmIbiz/J+Jv7scXv+5TDva9I+ iBdR3814Doy/YMZLzHgH/TPlQ//H85nzdXO+TX/A8zGew/J9Xs+Q24lxMeqH 5Csf3VwfnnVOUq2YrHQDwsU+94NmxTr3jha7fd+losU+9cTy2dsL1xW7XY92 1hH74NKFAkO2eMVu6/CaV+ye0PU7d6+pL3Zb1hn1xV719745n05tIPYV9v6G BlJfeP+E+gDT3/H+CfWH9VzsvE+i+9shUv94H4T6y3yG+A922g/zA5h2ynjJ /AJm/kB7hRnPWd8lXsj8AGa9lv5Ov75HWNuvsida+i/8fZj5Bv0NTH7WcxkP uB/6S5j2Rnruj/mEnBfrX7+lP8efh5lPsP7AfAP/gPVW/HX8ado/8QT6V9o3 THuG8S9h9nvin+BPwvifzJfwF2H8TeoX/huM/0j54w/B+v7Es179e2Vnvfr+ wpIS74PxfxjfsOPvwfK+lb9/QX/8GeY/sOxf8PsvlD/+B/0pjL/CfjbGB/wN 9IXRV/cvznrN73Xp3yc96GX8p30R/2J+BLM/g/1S1E/stB+Y+k96/GfOR+B8 HL5fyPohTPlR/yg/xhfKx2TqJ7/H/kF+D/+Q34NpP3r8t9b/fM8OO+0R/eX7 qH5/Fza/Z4ed8mE8Qh/qC4z/S/3GLv2P3y79j58ZP/G3S/r3e+Ivw/jH6E/9 gyk/7X2V5g6b36/DTn9P/aV9UR9h/GP8I+yMJ9Rn6j/piZfwvj39O/4djH/I /EX3B7OJv0h56N9jyy7xb/k+oN/O/mT2V4o+fjv+K4x/Snr5vqDfv4SJdzM/ ws58kf2Q6MP6JvEL/FPmP8QrmI/j38D4N7QPcz0fxo6e2GHaG/qQHn1ID2NH X+ww16O/Ij3zK9LD2OnPsMP2OYdznfPQ8GeI/1LfiIfiT+AP017N7x0Q36N/ Ih5F+eK/Mh/CfyVegP+Kf8vz469y//jHMNeDmR8xn2J+Q/3G36X+MP9gviLr eX7Gf2a/JfNR1vH1/WuZXv08sfwyX5VzSvz1kfg6/TXxdfwD/E3GM/QhP3by Y6e94L8RT0A/5tu6P3jZy/u49A/6eVqPJN5L+8dOvAk77Z34K3owX+L39fOt Lnt5H5Lf18+veiR2fh87v6/nd4md58fOeI6d/gI78RTsxFOwM/4Rr6U+6u8X XjfOm7rsZTzn+fTzpB6JnefDzvPp+V1i5/mw83zYeT7sPB92ng874w922of+ +26x0z6wEw/CTnvGTnwGO+0bO/UHO/UHO/E07Mx/9fu7bpwn5d8ft8zZT6Wf F/XIa8avsWv745Y5+0uwa/vjfHbiJfhr9Df4Z/gH2OlvsOPPYmd8x048Ezvx TOzUT+zUT+z4X9jpH7HjL8GUp35+1GUv8XnKEzvliZ36RPye+kT8g/qEnfqE nfJkfkV56t+DKSzzJ+o74w33x/yH+yM+Qn7iv+Q3318iXsf8lPGF+QvxL8Y/ M/7F+SaMr7yvgD+HHX8RO/EH9ksxXrPfHjv7pbCb560SX2A9OWv/b5hx/m+Y 8b2/KEn/0J6/Rkl6WP/eXh39vJxidSQ9rH8f0Cvpf7X9+XqSHta/11dfP18n ur5+PnK08/0387yhLP+xgaSHiRf1mNNp16SlYRIvamnHG8PE3vTUhob/dYgS u63711Fir+Muu71Tjjpit+tZshPPKpvxdv1t39cTu13eT+qJPfuhwWeK1HTi WfZ43daJZz0aEly6SQ4nnvWa7d82kPbE+wHUX+I/1HfiN/SnxFfoH4iH4E+Z +7th/EtzvylMf8x+S5j1Ovor7ftMvv5T21/ma/+sl3G/+nrXZdmPxfOzf4n7 08cXpz/DznwN/9N8f5Hrweb3iJhPwsxn6U/Z/wSb7yOSn+eDGW9Y/5H9/f75 Ocz8Fb2xy/f8DDbfF2T+AeNva/vv9zjv7+E/Ux4w98v6Acz8jvqkfQ/Hp7e2 X8nH+OPUF5jyg+n/Nf+8bNj/fJ8Gf10/39iZHzGf0v3xEPGnzf0ljJv0z+Z+ EvYPMD6wf4D+mf6L8Q6mvjN/Yp5A/4W/AVNe+NvMF9ifgP8A4z9wP6wn4p/j T8GUP/464xf+MOM5TP3BPyb+gn9MucHoib9M/IT2yngPozf+HXrR3kQ/f7xH vjfojy/Sf9FeYNo/6xu0D+382eYOU39YL6S9EL8hPgETj2A9jPgf/RHpYdLj P5CeeCv1hf6K/pr6BxNPZ78G9ZH+GSYegv74g+hPf4kd/ws7/hf+KPFt+nfW r6i/+GfUX90/c0t8m/ZAfID5APFt+kviBfin+vmbl8W/o74Sr6S+0p9Tnuyn 5XrEF7ke9UniWX4794Od+QP1jf6Q9TX8TeoX/Tf1j/6VeB39J/E3yt/cDwrT XvBH6R9ZH6V/ZD8m7YX5C+0JZnxnvxP9J/4A8SXTP6D/0OJTPuZ6vA9FevZz kh7GTv+CHeZ6rN+QnvUb0sPYiU9hh7ke+6VIz35S0pvfu6U/ww5zPeYPpGc/ AOlh7MwvsMNcj/qhld+e7nr57XHsjNfYYa5H/SI94znpYeyM59hhrkd9JD3j Pelh7Izv2GGuR/9IeuK7pIex039iN9dfaB+kZz8v6WHs+BvYYa7H/I307E8g PYyd+R12mOvRXknPfmLSw9jxf7DDXI/2Tnr2I5Mexo7/hB3mesxHpf77909I /fczduar8j0KP3M95q+kZz806WHszG+xw1yP94NIz35q+f6bn/EHGL9g1l/x DxivGG8Zz2DWYxlfGb+4H8Y3mPVZ1k8Zz1g/ZryCWT+j/2c+gT9Hepj07Bcj PfFpxh8Y/4Z4Nf4N6zmsR8H4z8x/zP1TpIfN99tIT/mRHiY95Ul6yoP9VTD9 K+tL9Jf4o+yfguk/Wc+gP8QfZb0Kpj9j/kX/hH/Mei9M/0K8h/6C+QTpYdLL 93v96Zk/8D4ETHsm3mN+Tyavf1zXvvf1TPzHztcuWtiM95yzx6+6+nnHz8R3 bDdjuRO/MeM5WeXtxGvM+M1v9vM78RnmN5Qf94v/BuO/Mf/K8neLyv3jX+nf Jykk6x/4N1yP/QYw+7WIn7D+qX8PJUCY+THrJ9RHygN/EcZfNPfj8/zEb2H8 QeZ7tFf8cZj9Jqz30j/B9Gf8HnYYO/MR+iuY/o3fwx+H6c/of/DHYfabUN+J t8L439Rv5new+X0h0x81/UnTHzT9OdMfM/0p0x8y/RnTHzH9CdMfMMdzczw2 x1NzPGQ8k/fv/PuhaP9m/ID9T6yXm/EC4hWsL5rxAcqX8cOMB1De9G/m/J/y pn815/vsf6E/ZX7P+Mj98fzcH+M3THs14zHED5g/w4y3/B71m/cR4Pft67WW 9Snil7R34pXMv8zvxZvfhze/925+n5396KyXET/k+c3zbomrUP5mf8h+QPYr mf0f+Zn/kZ/+jv2B7A8x+zf29zHemv0Z9Y/xnvpH+bSz4x+t5T60+ICvPPG3 6J/pj8iPf8V6Iv0R5Y0/RTyJ/ojyJz5AvIz+CD2IB7OeSX+EPvp5cuFSf7g/ +/yHca3FX6K/5n5h7ldfz8ou5cF4o+8PfOSlfKjf1A/qN+2D9gRzP4wX+G/m 7zMeoD+/x/WZ78P8vhVPaRoXk7V+UzGnsKV/sZ9LCFv9TOc6FYStehMyu5qw dbnRr4cKW+W27APn+gV95X2ub6JwLt/9FGnQWNj63kOTEk2Fb/qeYtS/zYSv +ORe8XMLYWu8uNm8lbD1/Yf8MUnCVr9VqUKysNUO6r/YWtjqz1IetFZBvgJs 4GPrfab+l9rY/bjHx9b8YsTBtmK39n9uWNBe8lvrIaff6yBcz1f8997oKGz1 J4G9OwmH+4q/eusUYas/SazXWbiqr550r9JF2FrPGFm4q7DbV57vP3XYWn9Y /nc3Yes81YuvpGrlO/Csw1a//aRtd+HnfNV56h6HrX6hRP00YWu9cMEah615 Rlj1dGGru988z2FrPt+8WIbwvz79Tkx12KqOvbL1cPT0VdtbQx225rNvZTps Rx3Te6rgm+/H3S5eTvbn/LZk0Z2+8TVlP8/DPU8/ODgwXDj/kOBVro+ihGnv OUpuWtwsR0GVuj/OldnW2c/zr3trxrk/y8j+HPqXHWtjWhaf7VYVy377y6fF aoj953ebzh4a6uzn+aft2r6Jy0rJeoR7ecPPpz0KE2b/wI/XRh8YV6OWanOx wFunl1aTfpT+YF5UfMTXb4aoCaV3fD47zdnX/U/t0e2uJedW+nn/hVWxuXsv LjzmUaO2/d1y1soqYj82bukHJ1s654fNWX9//tiGzvcnKZcxfTvHt4uIkf6q cpt9d1JqR0n8uGqtWRklDkSJP7zjvUd/FqhbW5Ua9d3SwSWc/eLEg3/JM+Kd luW80v/We2f3oaO7YtWm0ZUqTQ529oNvPbq0wduHzsr3Aok3p6R6Cvd+ub48 X8TtXZ/kzVtf9r/MnL37x48+V+r1pUPLV8yI/J/94jmWZ6S2OxOngl9tsLLx 3QjxRz66+v2iiMIVxD/i+SZEz33n06IJMt7sPBo+sNHoeLWg3P0tc7o652NR XpOLtC19e0+izG82PM7XY/vJhvL8fV1/lN78aUN5/gLPt4tfn9xQddm7LeSL gs5+depj0JXh4dOyN1L7/yhX/ofGzvfz0H1Ih7yHG7ZtIr/ftsjx1xY+bCb3 O2VIwosrhjST+vXRnLffORTTTMpj+pLDj1debapWHh4y+9xA5/uiXO/KsLaf PBeUpN4eWqbEkl8LyfpCxolJOXI3dc4jQo+Rc3aVnzwkSfT4r8jg9r3eSZLy +LR8vQExHyVJebzbf1K7O4uTpDx2Vnh5/YyfkmQ8ffObYRfv7EuS+tW43tbs Bc8kyXpIidM5R31wKknut9Sk22OzH2mtZv67v2yfiNxK/15ablUpsmzlXhFt pD6t3tC30nvt28j979hU9YerI9rI/bdu8N6aTz9vI/fT4nDk5SoJbeV+Tg5o UPb119qqCl+9eSLSXV3GX+5n5MPk/IU3tHPeX1/4cN3GYu2k/KvO+XDS7fbt pH1d+67D9rdLtpf7vXemya7RzdqrMu6g4LS4Ysb47VEpkzKf3GzcXu53xY5S RX76r72Ud/xn4xedquX4W1/MT/yycXQHVTihS799rZz3VXm+1lM+e7+ez//i fdcF7one3892UA+iCwTu7+K8P1pzYvYvpyzOIfM/6tvzD5dXblysk+jzYZE/ Uqbs66gSk26vmVooStLzfAtynAqeuL6T6PHxyIs9H+RKUe1f/2jnyhNFZf5I eXkSkqp0zJ6i5g8K8fzY0DmvmOe/1j/HpgLfp8j61dqLNRatnO34e+dTmz3Z eaGz+rd+h6Vbdj2W/efVP33z9q6LlWS98YfF0fc+7OB87xZ9NqcMfaNfald1 Ked3t/4Kccn+cvqLljOXJe57o6vq/uC7k6OSnPczj31Rr+C/bzjfy+V5d66+ NPn32G4q/nTIg58/KCbrl+g1ZMTondNSnP388T16v7Ohbjd53hHb1p4NKpeq urkvbE1o57yPKfv50hesT9iaquodLjJ1xGdlJf7mHlZ4y/Otnfcl0Xt+yuPx 4fNTVcKwI9fqnM2U838pv7B3RpUeXK676jwo59r+58vLfJvynnOi0O6Nvus9 iRm8YMlzoWKf9rh4yeeyO/utWI9ruWVH79+HO+93rgm5/He997qr/H9VaRR6 IFjm71/0znP8boNIYdpfuReH1x1aOE29HO65tqeAR+b3iRuqLw68VUXm8zHr 652rl1Fc5vMfvP8ktt+Lzv4uynP9kdPDu2xLVyOHZT9+YmVJme//lvdmxIUl 1YSbjHu769HEMOFHC/puuTzpJYkHrJznKdU3sbow7fFe6x6/t16aoUKjfhn1 1uXSEh+IylO2U683ykh84L8lqZcmLysj8YGPO3ubTw8upy702+S5HvGCSszV KPRi+3CVb/X6t7yvvaTenZB6fk5pt4qMPVdkSdNgtSc5ZVZMbA01q8eDoM9W VFDJfVKPro8JV6Oetg7fv66Cylf8WEL/ai+p2amhndyLq6vOFR7Mvlywuqp2 Oj72js8/n+zK89WYDOv7SMHFGhTzqBlXX19fe1Bu1fvK2tH9ckSq/oNc8Znl qqq2m3ouONDGNw7++v5719uGqTLNhhYecSJCBdaf8NVR3/jQ4LnRuy6+EqFq 7f343+9ulVfN3lrz1+8z66rKVbMV+zHKo+626/R72+N11dahOV6Ze6GUern1 6Fl1Y5SKKVB6zXgVqn48MmR8qc5KdcwZHXHu+jXvh3ljz6QlxKlOhccuunLh sbdL8d/yDi8Qp+68+1Wb6UG1VNdscyb88qi++uSrzzv07e3rf7r0OP9S0zh1 /Mj+i51jq6uRJ+sNO/hXAxVVeeX0dZ0qqL9X/TDqxScJ6si0K/+UyF1RHTz0 /KymixPU95sDZ5bqEaE+f/FCjtsPEtTiB+fuvZXtmjfqr3X5PvwxUb1fL2z6 G7OfeHuua1/q5leJ6vihhMO3suVSRWNbT3prSqJKCdnRMPObAuqrRtUyjvVL VJ+eyP11nYZhamz1J20/GttYvZ7nw8GbkmqphPnb726Y1FRVzHn6Sv8yoerd kPvTfg5uqj77d+2O+Q+ueEdcTDtU+fnmauGywqNmzHns3fHw0sjovM3VrkZ/ za1aMJca0uD+z60KNleb651uV6XZiyr26ZJXaxZprh7t3r/0zoZCqkWUp9k7 RZurHPNf+nbQgWJqzYGiBZ4Ubq7a1yx179PjpdR/Ey5+WcXVXG3NeaF3t5Nl VGaOzRen5mquesR+FLL2Sln1y41Rw2c9aKbm/1d1wrTXrPWigbneq9JSDXrw X3COY4+8N2/Mu1ekbpJKr//vnIMqlzoya0vO1i2T1PlSu1dsfMGlZpXO3WFq WpLq0/X2qMa++nSmS8OT+br7xuuJg+7FF62lxt9I33a8YrJ6480CLbZVClVF in0/+WJostof9an7SrhHfVi73os5Y5LV+OD+AVvqhKnKHcvlHFk7Wb2WreTq Jr763CciI8+MsGT1cPO0lttKPfHGrYys+/GLbdR7Aat3dW1aTv0yIue9G0Xb qgUx+z0ttl/zBoe+2+7eX+1U7JFL7U82C1V/PPz2g11/t1OnK8Qv/G1kIVXk bOlqvZa0V98FhqyoXqGcigvJWfqH7zuoroWT2wx+tbKq//T7Anm+76jChz3e MaFEddWzRcWic/t0UuVm7cy2McGt7jysnXxtYGe1+qOHVRc2r6DKd9+RVKt9 F/Vt2tphPZOiVf7iM1vvrNhVfZpU5cE71cLVLwfDmn6SrZta+PrK/id948Pz I/+88ji6m5o8P3J3cMMI1Xz1ijK5X09VV3el72zsqy9bGp4+3/FRqqowc17z lKhI1ezrhxOW7euuBu6ZErE9srg60K/Chk1r0lWNkp9NyagfpnKOeX1WQHCG aj3Vc6DC2y+pPXNWDg3/JkM1K5mnQavq1dWlElUqn5iZodocb/bt2CVlVNka vx1Y7ptPNas0ZNG8YjHqZOKN9GKB97y76has0cnHh37eEhzyY2HlejG92M9F Y9SNlZsfF/+xrCrS4fddp4vEqDrd71XMKFFFnd0aumRe4Rg1olMHz4zYWsrV oumBHIVi1NW4+6nb/g1Tn38+e2RAwRiVvca1eoO+jFJ7X308aFyBGPXSqoEF Dnaoo9ZO7vvfyLwxalSvJZ3cLq+aHDMz+tdcMWreqjvu0xn11Yy4RZ3Tno9R wYVWlM7foIFqvG3/1V63o1VmoS+797odr3qXT53X6Fa0Cssc8+2A8AQ143yX d05nRqsnHV9LPflzQ3Xlh2Pvh1yNVq8F3XyuTolE1W/d5sBFF6NVt/g3fsr9 fiPVanvKgorno1XRReN/GvlcY/Vlcr9/zx6IUHuXXU/9PkeyGvVJpaprzkar bFs2Tvtpcpr6JWLYrGhf+txHIsdHLUhT61vEvbnnz2jVOSTq5ZzPp6t3Y9xX jv0VrWp/2b5/3RLpKqFf+WKH/4lWjxv/u/voiHRV9OLPN6b67mdm8dbLlkxN Vy9kFLx0899o9ePsQm97/0tXOzpMDOx/PVptebrw0PCADLXlzsHE+jd9v7e3 ZkDjl316ln/pj+k+Ltn8XpG5r2WoXL/2//agrzymfpnnyaMzGco9t2bl5+5E qwk3Tm4reCVDlX3l0brv7kar1ncvB6a166HemDfqyF4fF/c0vXegSw+1L+Zk 3qv3otWZI31zvbm3h7r53P3UBz5+sH5wu8O/9VADakw5NOl+tDr++/5iSXE9 1eFWtUPf9fH9zdnOl2nUU62tFBe+yFdf8IOnzN4wfX4+X32YP27bvL8j1YJz mSMfvxCjRpfcX+jk8Npqf9G+JbPniVFN7rjm1H2+nrp87Vrg4pwx6r30JV/e 3qrUwaijjc749H5uVO15GWPi1C9BtadWvBGtPLvKdB31XEP1xb1XPhpzOVqt 3jqpXr5TiaphrvQWUy468f1p/Xuo81ec+P7dHO5Wza89873KV7NfuXTDie/3 HFFm5qZbTnz/+luv5rtyx4nvr76yP6jfPSe+vzX71KDW9534fr/33mv1+X0n vo9/9c6lj+5UKJasXG3eDVKNne+bjn035tH4+jXV81sjc/496T9vmS8u59oR XlPdvNnh+F+Hs6u7G+IS373jVoOKNp7Q/JFbrT34SbnjLUqraVNCWy+qWkXN CPf8tvvbEHX6gFr2QnoVVfBQ5+PTKoarHV/mnFvzUiWVd/ONt149UUJla9Lx 1rtHa6qwoKHz2/wRptr0H9Ku4Mu11Mb+HWvHHgnz1ePjE8ttrqVyLg/6pWqu QHVsZ5MnBf4MU+v6nCpdLKmQylPor6JjOoapQm9/efyz4Gqq+ieDXs47Iky9 PvfXAyuq3fMe+27FuYT9UWrDhPOLlxa+761za3DBzzZGqVXtyw9Qeauo4N/X Ht2XJ0rVGt5pZvvWwerBwsDOH3apozwzap+fuSNY7Zq+PSYos7aKmtr4jwHz PWpJ/nvJRZbVVi8OHFS+jStKJVWL6bGoeh0V9/FbYa8eDPL96y3Q7oZXrfkk Y0dKvrJq+ahSPY4tr6fqvDX59R+3hKqK806e/O9UPfW4WMm2JU9Fqis5NpQ/ +Uc9NfaNtJy790SqL84cvnjggFctf2Vf8CcX8qrTvYLOxn5cXyVVeC5z/r2C qsKI8ZNbJNRX05+8uGjE3UD17ZC6dS6G1FdX33hvdcdVtdQN793pAZH1VeOE 8Fq5XwtRA7pt2xz4cgM1rOWsX0+Vr6RuVquwIqpPgnpra7HcJ+tVUZc6Pv62 y/l4Vf+FcQcm/hKhzmys8enao/Hqo68zJv33RkG15/Wuvx3tlKjeSaw8fPjt IuqNRe9NyVYjUe3blPrf7LEl1fhGrfr9fbehCgmJDBlVs7SaWOGVXhnbG6rq C4tszhZSRm27fGTIF6saqohWRxZOOedW/SMPFYyY3FDVeOXszV0XwtTsiq8c e7KzkVpYv+iND+6EqWLZb6QtXdZIuR7mb3NqT6gKP/dXvYcbmqhb5SNWdXxa Qe3NUX/+myeb+cbxp+siQyqpj5ZOqjx3fTNVx3vj5uJeVVTV0G/3vjyjmZpa 4eOOngHVVOSe2s817tJMfffFgFJtV1VT0Y3mrfq1TTNV+tXFBT6I8dXPnE1X zCvfTB2q9XTn9tgj3nJlum89XS5J7Xg9T93oTbe8459sPd8oLEmlTR0w8vwf UerFcSm/pV1opbZveOQueMKtarQ6dWLw8iS1aEPp47l2lFVNYz691P6HJHXj 1VIH/ilQXuUaF3994tYklXzjveovLy2vfn+6L8esnUkqfsTLt67GBat6kavL 1j2cpF7beeXfoFnB6ljRfB9/czRJbbvZ/8lPQyqpf0+eztnzryTVPnbi3uYj KqnUva12TfBx9bNVSuxOq6IaJe7sduBOkro1q9TSIc2qqTvugDen+8aDzBuj IzZHhSjVffzp2YWSVWoNdTwluKbq/+bsTtPdyeriG7nyN/D5zfkvz/uzzcMk ldju976pnqPeqbtWTvrpbGv1kXpt/ugOhdSPjV5JHziwjSpZNqD6/pNFVNDl HsN2v9NG1R1Vpcu+c0XVq+On5Tgxo42aMXZ96NCeJZX3/JJrzb9vo+aWvdR1 zJ9B6kjbk+l7f2ujpuxPHZNyJFilZvz+aH+Ptqr92Hx3RqVVUn1yNt4XPKWt OlRqSmiPCZXU7JnejqPebasG7tq7srmnipqfu8bAPOvaqsGB6tZ3RWuodR9n 37S9YTsV1WjK2NYzaqp1nw/91jWsner1xtHji5bUVJ8XWeCaP7KdKv7Z3w8H flpL7fl79PyHK9uphNGz4ys+n1NldvyozF9126tPH4x62Dkln6p8bF2nqxnt Va/st5ePW51PZZaKn1S+V3s16sb9apOWFVSLVasDB2f60hfu3OPubx7V9esX JvYZ2l6daXzuUsKIUmp8vswrC8t0UC/2bNn5pVGl1Zz7W1u0atlBfTur5vTg b0ur0QsetGyc3EH9OHFLpfSrblV9ZP74pxM6qMzC1eOK1whWjYPO9lhWoaMa X2nKuQ+nBqu4gCalXg7rqDpPvPaZyltJNRh96lKrQR3VopuPPiwaf9jb8LPB wa8830nVm/TzimWzL3jfezt3/IPCndQvR3b93v6dO97Mcpeufd2ok1rQ/cLe WSnVVM6q3XIvi+ukmt4u9Ffy0/zqZrGF4wZe83HVN2fE5w9U2facL7e8Sopa 8PCLcffvlVT13u/zuNKVFNV087BXF54MUjsXnA0pUKOziuzUrOe5y7XU8AV5 Vuy7kaJWjepfvNDBKNU4z6aceat0VrnPfJm4pmR59bn7gyedC3RRCyt7VnfO E60ud3quxAdnO6viHbzH4rae9EYcbD/Es7OL+i1p3J9Xep7zDj42Y1Hgr13U 2y+88k6L6Gh1sFBKjVfndVEzJua5cnVSDuX+ITAl5cuuanbxNS9PGFxF/b7/ g+DVu7uqJeVf7XrpZph6of2T+s1/6Ko2tah0f+6tQLX6w2H7y0/rpqa/m29S 1PUS6rXj/+V4rm6qGts8MOSLRSXV60WipsU1TlWlJwaufVogQu364Vynyz57 RLfFdZtsq6kKXOx67qX1qeqka+/aXkcj1KHb60/8V7276lf119OhFyJ887SC MwPrdVc1ek3++s/O973f5z4/vd/C7mr4C5l3h5aKVIm/xV5o9nF3danOhQ/7 7A9VbQZU7fJyUJrKP2fT16eOhKqSxz96mhScpvrN/ST+64QqKl/+rp0XBKSr IgVWdL870Need6YdeykwXS3vv+LLQt971Pt7bhzeUd7nj+Xpuizb5kj1zXMX rgypmK6CXm/1TczeoqrPhscLzgxPV/NXnVx16R+PypjXdPvJUelqdONNFxsf jlTxA58b0XNIujrXrEHT2ycj1Zd5V/cYMD1dvVln8bDllaqppcG3/v7mfLp6 acr9mt918/WPpfd8vez5DLXy8919t5cJU81af9Sr4B++9P1uzXrzZqTaemft nsn30lUZ14HQEz5O6DzgRJ0H6Wpv4djyC1qVUgOmPDzUr0OGmlnwhZk1L1ZT Cz8JOP5KSoZKu73r4uOcUarm0O35qvfKUP2n12vVrWiUSvl4ecK+wz5/cGqR a2/3La1e3Jhv44o2PVTljX887ju6tDr+/f6BfXz+38aAV4vn/yZM7fpp8KYb Q3qoT8NKtw4uF6WqVI/PVaBhD3Xh+8kB+6uUUaUHzf5w36YeqtnVW3cKlA1R /+xI/yDH6h7qnWOVOr8SEaLqtY9evPFSD3VqUOWY+BVhaneu2QcHrfX5j7+s jRv8Q5iKmrPi8IyLPdTYbp79bapGqaZ/TStz9YceauKD8n8smlVGHeld95+B VXqqaQ2GJ77cJEQdm77zvbNhPdXGlfV2F20ZorL3vpr5dtueasLvPzzutyFM PXy35JkcPnvTE39kO7QxTDVMbnF7T7ueKl/JaeEXa0SpvMu3n+hTrae68Pqf J6p/HKHaP/mg5luuZNkfuOLw/lXrniapN8fdHxQd7Hw/pk/31KcPk8vKehD7 NbK/0rzJ2FxBauivbYf3Twv/n/OH+r+ycuiphhXUsI8vxpz4wS1xNNb7S33w 075/Z1RWiQe+vR4ytIbYiRd5M29envt8dbXAvaRqZEBpOW+I9xF6heYc/VFm DVXwpZR23YqFyHoS+2+2Lr66eU3+qs77Ul8FbG50uabEu77o1TD2rQ211IBq 0wPOniwu57de7XA1Z/eB//u9msqePB+sOhmqbrUoGDF6YHVJL99H2ht2/tt5 HjXwzz6dolc637PZ0XFeoav9oozzYrOr6DPnjy/4MlLioV3L9zvY/71wtfDy 7PnvNywo+7eIL++JVYFV54er5WG5/ju8varYZX9kz6gLP7WNlPNVZoTdWfpj jwh1eOimzJrjne/hEH8cm5y70ubG0ap/zREJhfLe9bK/rPTwpZXH+ub7sHyP 0rVh26HiMSqsgnfqtD0e2U/B/pj4bvfe+jw0RuKZ/0fWewdiGX/940b23nuP 7M19o9zHFm657b1XhVSySShUUpQoIynJzhYiMyRJZqEiEhlZFdX3+jzP4/L7 Pc+fr/t9Xdf93u9zzvuc18ElZ+1syx2BekMyxSEBMdS/bH6zdvbb0v/Nj8Pr MPVbleIo2m92t3pMrnIfgVMMQ/xG4Uro+/v+GC1GHvJpZ7Rghb/bjnRDDf3e vr8ME4ZH6y3mKDpfWuerKe95AqjE2JZIywqi/msoX3adswReESBifYX27hNF tHw/Xmb7cFnhBVJteMwpNVlZ+7/z63zEKWhOf1xwOeATOHRs1k+nSRvEr5T6 3HvBgPoL7tuLLcpqmF0btEHoBKfnX2Re7JfnHCq52psuj97f7fs3+dxIHRay 0UHvF5y6s8xIWHVA0uOST03qQX6dQ7jE5esn/2++nMS6rggZCT04/+hii06L LOqPt7/+idYoXa+Y6aHjUXFYP3JbwgC1N/O/oBbyTtcH0v6dn5ccJVD/iH39 zqKj5V/frD46nzf8p8csvA/y0VBObbuVaB3knwmeyHyGYzIE2hvXSP0qudF4 rf35ezyMRuCOxzGYbmPubvmojMZn7c836W9W8Vbzx9D+aVXCvGd8fpBfZlg8 aDGazARqBPx+pG4povyx+/PTb6aMpPbzQX6UJ6KpMnd6DvKh4ORFMtYKTGEr PfafTqAUGu/FzD2hJn/9IB4T9W8XnyZTbDRH19crMx/hZDkCen9d+eiBSb45 AZ2fJu9WLacLD+KVupg9DnetEgAaCm4tZx5G9eP99d+pQkf+Edmf9+/T9jQO XxdiOIivd6OdPiHHdxDffk3liX7rpiVkUPBfj8zkQuPZ9/dXKnry2/+6rND/ p2TmHJgttIaNQ5d6iV4eRuPX9+drW+qK7mKuDYQYZHnY9cuj/j5Vd+ibC3mU 4KSLngpe8SA+KltTbuNnrC1w3E/9edaCDvVHF2vXiR+pVkIxytdfrqL3+6wd hKb5Hr+9xI/6BxVH3v7d2a8C1zXlDHyR8v3x4jGrDN6xs4deF0Xjd5/FUH8q l+zjCjYbkpCrVfGg/Jc9yIpQ0r/4pgqOH6XBwuAgvip62+O9urwDFDXF4e/r r+L2/a3yIgt891alUP+rQ+6nCz8yygFzlgvnl48OED/Vfe/PqBq8ofuSuWjo AN0jolsYISbUH2vOf0EgzUkeFu4EH25Wc0T7+9DWqvU2vROwy15IOEPPi/pn rTD0itu3CMGRdP9b4W1OcPt9FCUxtRL8G26f7u9wgmraru0XixiUrwqNN7IL D2ordQLzLxupA1eEUX95qd5q6ojnYqCeFSsWXuMMGfdt8+LplSH4ZsXtKxXO qF3qRv2muN99Z5AcVji8QXoYFuzedfLSuUA/9vfGYK4yev+3f37mfwhqPPvI BdE35YvIOGmQ85WPM3zFBVw+44/dcJFE48c8Xwrc1GqShrByseUjd13hkAxl 2s9bbFBD+vbm9kdXoK5XOsI5JgsJSlaqL7TcoGqQzrCnQQVkpldeHv/gCpcf 8lqXfVJB7wP3/fsKz32Ed9xusCZgo+B3BYvGo8mRPq73jhGAAZe0QvUnbrBx XfYOEak8eh+4vz/0NvNpsVW5wXHv6gD7BUF4T0R+WvSDG7zx/J2qWHeQr0YB TK4FlIzhum6pOFobuaP9JV3KqF4v6w6/e133sn60o/yuSvOXuBR5ROA0/aKG O/L8BRrSd7jnChAVJumxrnOQbyGHc2/1nIU73Bksv0v7iQwuxHmEsNF7AKw+ qycXF4NukSfs4y3ukHlz8Ap3ND1sl/srq0Z7QMi7asNXyPjIvVBLPXvUA2Zd uG7iPx6GRr5fiR4XPaBqsqcjSo0FhJ46uB/a9oCch0+rqq+zofa+ffmFulxY W9bfExmfs55MfUpo+f5+apUBxcVIeWDOVEJd70F+nTaMzE3qhYN8OqwzsYPf Vrng79fvZ1KpvdDzlWO70eST1EF+hItbA7Rhgl6gs1nvWJXDByxrMu66xN6Q ovBHKG7lIN/Ovjz4N0Cge87fGwLTCMmqZQf5dLyHpGoNtA/y6aiuFz9feHaQ T8dN5/p2EOEgn44H86TdudaDfDr78/d41Qf1l2oW6HwiuUn0rlbcAl7eeoCP zMPC4b0/Hg/u4+Ea+aMu45tYuMGyLnhFygzOQlXo02vKcOiEb/ALrAX8lBj8 /L1JGbrOEaUeQ/AKbceUVJ4KtJvN1b+TsYBg+TuiKtUqEHi+KLRJ2gJqPjc8 W01Wg4BPjxr7hgmQGrB6sukWFl7bvJnpoXCDVc3mGxlXsaD98u7fV00HfG0l NU5kBf4EVF6UumRtMidqBbW5pQ4MT4XR/OD75/V915JDZ+Ws0f7HzxM3Dvyy hst09BFGIpu4fX7Gff95SqfndhoktnCfjaT2WKAiyt+4L1/xi7K/vMxti84f 1qsin6lHbKFsl7RBuk35//jXyxGKnvFt2ALJmgMlfkr4//jXf8HTY8Vm7CA2 lXuSkK2C7u/746F+20DjzmU7WJwR+9mN6AX/2/++mtF1c3fWHv6UVMe2z6mi +/3++uL+3CB1xsQe7a/DN5cLP2U4gPb3ccU9Ktn/46/v4XFTwaED2c/Dc+lp Xqih+/3++aym7mxld84Bbf+x0yInTyQ4gttj68NP5+XQ/X5/f7nWcaaQ3NgR xJaCXjyyO8hPQ66QernISxDdv/f1J8lw//yd4gP+QYZqWx+8lhMk319g+kGs iJ4PzS7dfxyKFNH30fijnvgJ6TwnYIn+bmF1QfT/8BEm7pVgHaid4UZuRMTZ I0ro+UCafHjLqE0JfX5//Xs2iK2pxTmj56NQ7qBV4B9niH295ejIN4fb9xfe nz9SM5+0+OQO4odPfyrO2Jlzhpeb+WWJBuKof/G+/pDsnLP8UO6APzOwvZhj isoFWvcmnverKsP///uUUB0Ye/t1nwswFBOl8u5RoOfLPp9eIMkQTzypK2B7 zo2l10mh/iX78qZ6Nqk2KbKennGqZ4hTsaLnxf54Siv4XBH664rKU9spvqVB a65QWctdK712wEfhkjVKGk8vi55H+/Nnl3MrJkbBDazSHrqsI/N5//n9895S 4qzIlwA3yL1isZM/xX3Av/h6hkryMx96Pu3vfyOG/SuLGQf8n2cTmQW5A5Hz 62IIBTmrHPq+4KUE/zvWgmh8GRpPsttI9mbNDYa4E/21k1Thf/OD/lk2HP5p 8R++uTnd4X5hNN5sf33OqTmH1Nm6Q9IHOXrGcgW0fF//YTy95vzC8oBv8bJh 36n61+7wIWXAsPDGb9x+PNr5d/m2x4tIUH+V/fX4LWi+aH3PHZQ146dJZkXR +LV9/225uyFZo4MH/OQEp/QAojp32Ho0kJ1udpC/aH9+fA3RG5eX8wC56zrz K3kUKP/jcvU2EYcqLeoPg+ajx0+NkXl6QIBmXGtykTj6PJEh7aMTQYfR5/fn q19ZnEmY20G+Imp1h6vjkh6Ap1v0eOF2kA9pX97t7FozkM32AE4PgZynaoxo vN3pt0PbbIeZ0fu4/f39R6fAl5uTHjDJx1sWflgCfV5AQiC8XE/pf/FVsoLW XiaHp4AnDN3e4TRYYUH5Fvb3R5J++nUOrgN+c2errKTuFE+IW7QoeX/uIP8R 8UPt68fucaH84/vr8fIqY7VzmBcEMq8Uv3E9yHe0jhPhljnGh8br7a+X/F5/ v+JVLygzdJWMTzzIb/TYkFF/jEUFcr3OxpSqWMCZBJJ+YklVCJxINVYRtIC6 7z2XRBRVYW1Z7A+xgAXQkRrFHf1PvqOPuc9nI49B9z9WtlcTWDii02mYt3sM fs74iZ3vx0IK4w/hKDkTCA1LMoutx6L62NsH8ewrrViIvxrJ50lkCpULNebL xViwKovUwDPh4eqZlrqySixs8J++G/XOFL5UsCaV5mPR9cQqeVSmMRML7KQJ yhn8bqDHJ5cujsgDcqsi8tNHEfmQVujW8yIsUOTax1sGuwH2caNg6kMsxIxK q1W6IOtb6ncdfS32gP/0soCJdgUWwj9XfDPIdYMouE6S+RQL2PKYLP4SN7BL aH7c2YjUrzgrCPPZDcZdP4ysN2ChuGSz8sQUsr8ULnLvtiHyraMfUyuXO9w6 kyLY2YMFISdq+Qf2yPqSxzTmvcLCB4PxCfor7kCoxTAeHcYCt2fHlN07d3is PZuXNIqFVLoEM/FddxAS82Ud/IAFnnXCaRUzD1Cbo1H/OY2FC92h1xb8PSCM ev7frW0seLEqd+U80QO7xgfnfZH27cczvc4/ce12xgG/UNX7NtFXJQf8MwlY geYrLQf8M/t8VfTkd7uGydxBhp9xopBDHTiXwt/dt/6Oc3jXIhyI4BBchLiD EzNI4yluf2VXh/R5lmmSREEY6rspx4LghwGXkt/PHIajjaJki6zq4M65qFOP Rc5Znfjf6cj7Nc0Vf8bpyIG8lJ5XFcGb2odyExu4YLLAWyAJeb+Zfy2FXhXZ Z+LL2ZLZ1KE4/LvtKCIXKV58RKGEfI/c72cE/pwinFAcFfrmrgJ6o1VDQifY 4d+HN+dTPOXgjuzpqC/SIvAjG8MU7c4Bwhk8zEkuipDTFdZv8J4DTO48ut/M pQhN0bdqL/PJgOJlij0iB0WIGpBnPBqAAR8zjjNSFQrg2bjAMo6042l6tLHh PSzcScs/8bhVBMzrrmnsNB+BFCum3Xfb3LB08VfKrDVA/69Ph/89k4cXk/8G LhrqwHw/uelwgTSYscmOvBDQA9NEzthHSHu1Jl76lCr/wGFzwy75ITici5nL +AgLcGq6Tk8j7e+XiE/12xSEnB3KMjIEy+mdiVA6JgHPytsUxpH2Z4TaHfXP locsby+HHOT92uhxwWZ7YigrOrqWgWCq/ATNOONDoKDRF5qIYKs8ySt+ndQg eo076gaC6192KNa8oQDde61ueARzC150J3LggF7fr8ZH/jMem8S1uElO+Mn8 MIELwYdDLIu2uHih/vq9k7II/igXLKudwQ0E+8+ylUj9wgsWbLyJRUAvcf14 OoKrP4uTsfSKQMSklZcTgnU/fvnMcEoMevuYQqMQ/I2lpTf7vig8O/T3dDsy vmF/6G9dtpQC+1rWb3cQzPl2NShFXBrkXmonmCA4galpPrxfBtpaXo2HIzjj FcuJ1E1paAkxm4tB+uPYjVbSvCEFuMU0uaGL4O+rz8RGdRShX3hV9iOLOvCe OeOkwqEEqTZG3QJIeT77GaPAAkWQMdBcLULa86z485VS1hHcQqJg0WMEp+l2 C+vpzuNmBe58ikGw39zAkdtEjPD9b6f6OQR/vh08ShrFBENkdzMpEVyZu7F2 v4QfSo2/Dawj7SuiFMrV4RKEl0/5inQRXHVYrlzsiTjMHjuNE0SwuTZlPFnI Ybj7z3hAGmkPbzTbR+nfsuD5ChfxC6mfPpsPi+c7OdB1f9Sdh3z/v/f5P7hU sadUVgjet9d/IuL8+IxdHbW/J63oDL9BvrdvbzcI+BZ8g1UdtV+PfIoJike/ Rwejyr1mTCjmg/MXfMGcXR2N/whb6Z7UZFNH7fP7/r3ncrQr2hQsoD+raZDy lAq8kelculZKBxEyFnYlJkLQYtwdtfyCD6KnNJhomuQgljImJ+ooP4yf8Yxr /YKcPzFnRp+lyoFkWj/TiTAMcOT/iaLxlgU2wQAt9U5WiFDzWMqqVIJdJvZU 9jxleJ9cftgXkTN1mjtcGjKVYXZjvPj1OWW4xBg0P2dPAnHROOeKDTUIUsyL d/Qhgal6593X62pQ7uc3zVMkAWylIqYv0jFAzyX9hv+BOJzkc6h5SaMBNxeq iAZKlIB9MIxV8LwGxFhaMxIShcHFQm04tewoiKpFUekUccIZxY0JwXsArCxP n8s+VoOKWn/H6S8AS4XsDS331KDocVVujKQ28F4l9/MdKMGxbQzwMobqwGkz xU+g8xEn+RMjcMhVByJ6rCxNf8lBok0ik/1THSg6TPGsp0sKulxHQ/6e0oMa LlH/zQfCgFEgqQ8zMgA+LxbvbXUR0DwnzpsnbwBjaQ6F5OdUQEXFXTt3wxBe PRs/MnpXCUg8ruGMRY1htWpHq6NUCfzuqibosBqDe+pltrPbckBz0ZVlYMoE 6JhIjXud5SH/dErtyT4T1D7SaQV1z8J1gDXz0lZFGiNYJCSTP/ciwMXefs1x HDNsHpOnEEP02XRlrjdDzqzwbQm/YnOeAMkKnAl3TIjhwzSjiR2nFTQpJ1kx 95GC8MNfOH9hK/jKHqQSFEwJglkyQaBqBY9sDA8xnhIGabLftVFc1rB8//iz WGFRSLyoaj6mZQ1PSFSZflwTgQfhgh7cStbwdUl5x3VCChZG/z5/8cUaljrX 3IWcpKG2PocncNMaiPtdSugiZYDDWQ+/wGoD2ce1InHbazjiS+xvfJZtYHhR HBKT/+Lqzm19OcRqCz/c3+ITsn7h7IYoLiWR2cKtrujeu8i5sFapcdp2zQaO M1075yGgBC27cwJ1SrZwUvrWH+9frEAqXX2Wts0WiOnkvp6VYwfyC3RSWkO2 0Lct1PHuKCeMGv6j2VyxhXJ29dnIeGX47LBIUtRhC+tm0UREMioQKLNEwclh B/E6VttzbCowLkKnO01jB3cZ6Osqo4QhhGEnarvFDkK0fsikU4iCRObgvPOO HdxPkOhKLxAB6gYO6qqvdlDwRD+Vzl0VpGbNwsXH7ECR+IQXSbwE6BOZvLWs sYcZy2deJcpS8JzrtX8SuQPcO4Ubfu6rBik26u4rbfYg1yxVPJZGDBguNWGa GAfYmjna2DdJCjL9TYWH0hzg9SyrcdMQBdi43sTp1zqA0MyvdKImGUjWsSIu SHUA3cVQBwtNOZD/F/SgdMkBkvw9bk9gMBCul2k79t4BBl+LX6xUx0CDpleh 0YwDzLb8pedhYoOeyU5vAV9HONrb0Eanxg6msh1PnS44wvuiHNNUak4w4aPr /FLoCOL/VLOTzRTg3OGfctk3HUE/mDL/6RUMxNDrqHtEOUJ4/A71ip0g6NIr vW8/7wTPl3P7PygJgzdbcp3RpBP4NPzFjUYpglEz/ePntk6IfLhz/m6QKJSH HDuS4+oM19jvfCO5oQQ8BTlVxmrOwHX8XsgLy02c4alG1nZWF7hhTPHI4d4m bkagbvMcuwsEnsbwl/X+w1EHn2kddnABmpBQRppGcXjF85PE+aczuBvMjZ8G RP4nUbvVf8IFNF/9Y8ZcUgYJTVGiN/IuYEOp0F6/Tgmj85Z+xEMu8N1Arv+r ASNwkJSUWhxxhW/Hh2vvZ0uBWRkbFZ+CK8wFlj0NcFCBS3fUZwUMXOHsFZnb f6Kw8EAntGwY0Y+vfIn8cv8TK3Q6urwx6HOF5ZO3hnrEOeEJ1ZFACl43kA9T UZ9/LQMymc9ePTrkBjmHyvjWx1Sgr3to9gmVG6x8jJk15uWDmx9v3Dse5gYc eFmbOLwg1Kl/dtF64QYO5jIyzsNyUEdDkno10g2Yd7tkzJxVwe7XaBw21Q3C iqNGRciFYXeZ4CDF5A6qMdd/6lgqgOzimFkyIj9+qNJMWC1QBaHBzZ29OTfg z9XLjbujCg4qqfdPjbhBPOvjK+uJq7jcm3xev0Pcwe9c/uQfMVEQDxXOm7/o DicsY+tyhRUhO5av1fKqOxSeNVWoAkVoTI9X/vDAHbBKUpoERM5h3I680jnh Dkwpfl593Ig++Jm10QLRT9MFKhpEYhUhAO459I+6A2cQ9/oRvBocJeqNC/7l Dgn1/r+GHdXAqdgydYrTA/QbwpLkdakB72TUHq/nAR/Kad387A9DTcXCd35b RL8cMP59U1wJJN9oPCEK9YClBqrABmUleCDRVdJ1yQO0ODJecYarQd0NYyp9 Rw9YqN7iITFgAuLvW98IDR7QYaA3OlohAdTMFRePvvSAmyM6nvjTSpBJPL33 tt8DuiK6L52mZ4PsxwNW4Wqe8DLdiqtOTAqMT9lmYl094fjkgHC+O6IPSmQ5 WUQi+uHaU6LFAE64LCfgebrNEyxINZwu90lBpG+Hd2WFJ3xs+l1x2lQZeCuo shK0vKAQnz3KiOiD/ldxQUIBXnDtlDFG5xov7BRmWYcXe8Fg/xHsVxsZRA6I 3D5c7wWiyYkdMgkyUN7GE+v9yQs6w1MLFc8qg/1W6y+WAi/QkEtP0yjgg2Dm JRpDUm8wf5WdUFAnA29Uuz5JcXgDufqE5RcaVZRvdfixdaT0GhYUbE9sOjHq AxslNcXAPBZkT7Sl+S4awGxTYRe8x4LFeRMBng4jIHAzGg8j+tHVi9/WynKM UX0kjvhc+QqbKeT7FvBNdGBR+4ZS19eaiNdY1L5w9NQ9jcAxLKrfi1ixHN1B 9KV9fZzC/3fwsS9YVP+mIHbuu/YNi+rXLdxPBD+uYFH9+v5panPHH1hUn9ae lkxh3MKi+nInr9cJuh0smr/LY5c00fEnFnT+i5/BG5ZOJ7MQ/8JC23/Fs/sA LrZM1jsZCwsDn6vVHrrCk7S9PS0rDHq/f3dmrOmbOQZME/j4k16ogPj9PK0K ZQx6n3/Vvk30niwGjHLmI84herIdVwAFrRQGEqWJxWaQ/2Foo7rMRoNB79sF Vy5NXqHEwAUXPcHAIU34aWhMwWGI/R9eRHOofWw256CGhRLjTL2vhuZwmlbD WFAGwZScb085mgO13gfXhzRY1P4YXzDgm8mEhVPEPleBxBnMJ5VFp4SQ9lD9 2mEDZzAV1nLWAixqD2y5EVD3wwQLePOEj8fJkP3v7YMHZSexqD3wfvmmFEkg Ftwve0a3I/vji5CWqmwKDNrfJoqmj6KoMOAY6jP6J9QLPH+HzAkzYKCHpM3K KNcL9rCXw2k5MOh4eEVelV/lQtq/afRwfdMLTF/S89TyYmDwIv2/RjpvuLRS SnpSGIOO18l8j+3LYhj4IzuqXHfaG5JJHwpXimMgyIlg0hvjDTeD78XMSWLQ 8Rx5olJVIYMBxoWAv5FfvcHQ+1ElEzIerWLR2qHr3hAX98DkLoL3x7vGknHm mTwGfNvZK3xdfSDOcanvJYKDZmwu9Xv7wKV8/D0SenVgoJGm8TJShqEjbyLv 0qpDH3Yh3eC3Gtya+q1Fg2Apj3PYyU01cI7r9h2nVgcLNktZ/zoNqP4a8a+E EtGf+NsuGudrQIufA10Vgp8KJQaxhGgB2+7yyvVDiP72cPliM14LYjnWHrKR qwPedKDjO682dESQ5ab9w8J2gIgu53/4Wo5pXl4iUYffGEs+U2JduGl+qfAK Mq/CjzdFWA7rwGrLX1/GbWT+3PMJNerRg9kPPhJ0G1jQl9maob2tD3vLbz+K ryLrz9+n4eMFZH0v1550RtZT6QeDkROPDSAUr9A2gqy3Y0Y97xVOGUJud9M2 NbIfsBir/hW3MYLZZGG96TksZAx8Dv2QbARU2aU1NR+x4GKXQk/QPgY6/TLX 5kewwLnwS1jOxhiOlUR/+juMBb8P+JqcSGPAbtlPN7Yi77/bcww7ZApUL1gf zbYd5Bspoiq4pfgCCwLhYxfnedzB/5CFEnMnsl6r7tg+V3UHDM09k44BLNQZ wRWeO+7wcLCnEAaxYHLhvKluoTsYetXHHh3Hwqez6pmuTB5wl2usuAvBZsML 1YkcHuBZRfv+/cwB/6CO+djSY6T+mcnPriUle0BhhSEd3ewB3+DSCdnBn18O +AXXflXyJyH9kaTU0BC05wHORne7Cr4e8Ale6tUnZ1464A9MlIc7wQg2lRRN 6z7tCSAqLGn4/YAvsOTcro3B6gE/YMDLDN8kBGf4hHyLnvWEr3WvrJnXD/gA 5Zsl08t+HPD/HX+KDRtHsIE4nX2KrReE1FDLcm8e8P1pXsX8st864Peb5pRs DEZwx6/5p9/7veCE46WrgdsHfH5H3tJr2u8c8Pd5aDLt+iGYsPytIAu8ISgh SZzn5wFf32x3P6b25wE/HxdBIrEFwUHr14JTar3hukqZuMSvAz4+2mD5yOBf B/x75qaFCaEINmI4/LZbygci3vGn3v11wLcXVKpj/hZpv2hAwmn6aX3IjEnS OIG0l4J7qtmzXh+chCqrg5Dza8tvIKlB3ACkFr9+nUP6jz6W1A/vYAC24iPm sYvI+/00AS/LDAEjZAQzCA4Z04wMyzQET5J53aAFLHRVnRP+Q2sEwYa5Y6II jmQuAScxIxB3MDuFReaL/sloteNRx2BuJru5ahILYtRzb3QXj4FR2xt1nh4s 9D8rVlmKNoH5H5f5OruwwH/v3ZW+LBNQu2orOduLhYkTJaPzAe7wko1VbaQP eR8eNfuEuYOcQzOzyjss3H1vHj047Q5XOCvb+5H1o8/Y//zzD3cYEB0r2fuA nK8kMeV+5h4wy0qksI6clwKh78+m+HvA8rXs6jlkvuJfHrm/3u0BRZub5xsQ XEyUQ7XS7gEjx02EJZD523bm1kTJDCL/pBK1uCH4RqX7139zHvBuw/fCaaQ/ vixhxP5oeYLuz/EdbgQn+h7pokfkHVa9sUYzZD9oYj5/dcHCE+ZWdMefIFjp 5PLUdydkPs+2cREh+4dg2w+WzDpPUH1EKpb5n3io1y+rM554wvPAt5czkHKy otmYxG5PaA1uriFCxmeJfvBN4DtP8CMVCahGxrfC/OrpQVkv+Fi9MWCI4PI/ I3yRfF5gNhryng0ZbzOj8KKLGl4Qe1/+ZCyCTWOEf1w38QLFGwl1ech8F3w7 ql720AvGyle0jiD4wfvQnuqbXkCnkf56CsFxfNdsX5cj6yWip/MoMv+VT3fn 2LZ7gVFm8MwIMv+DzwgzqPN4w7pfoXY8grszCFEa5Mj8zZWS2EVwmndNv6+I N0R4TsQZIevhJN59cRDrDbLjHec8kPluYt56K+ymNxBdjhwWR3Cvyc0W6khv OOpIQRmK4DbmscVjmd6QFSygVopgP+pnVH/KvaHZ5CPeDJnvewLI9kDhAy+m qx/IItjm2p1koTVv6DrRbGOLYO57JlRn6XzAeXnwYxCCFRlOZH0W9QH3yWya /8QDscjflxaK9oEGw3CXe/+JD1rewUQj55eal3pOBLM65CjH0pULqEJa4B1B JgSXLn0RZ+hThVTBGUEfBK9GdaeWm6jCWlrtXVtGdZjKaKmgReS83iH13SEG deDLWw8Kj1EHB9OUHW2k/CWeTXYFGYeT92pFntGpg6WjKN+JsCPwJNrHixnB 0z6WF8pUjoKR1MLQQwSHaJLpUGcdgc/6TCXXkfMxcLA92p0ZYJVf/W0zlTqc SyqjjgoBEE6ZLYlEyp/ckY75xg8g/sTcrwk5D2/v/Fq89lUb5m5LdtSQqYOo Uob3jKUOXI4Jii5Dym98CSBLXtOG6sRaZn7kfJTtEEuoe64LXOS83O+I1GE+ 272pU0kPUqtImbmQcjFzkVrsC10oNHpY9YxFHTazJDYdHiqBq7zk1B3kvL8f IlcSrKsM2PLktAUmdchL5ruvY6wG3HeqygqR/lheYGAvWFEHr5jthK/I+c+U q8Cjf/MosEirNGci7ZEifsewlgnQ4FUWlY3U91GHgha1nw50fB1rTUO+n3ch es8GrwzjjT4000j/+7qWTUqFqYAlE9H76wgOrC8RNt1QgWAHy/oRpL+5L3hJ 6vAh+27Me44ABJ8k8qXrfIiFgudmPnbI9+Zdvh2vadME8fRt38H/9D+VLb+H 7RHoWZOwtqJRB35RVydtDxzEDt9+mo/071+/RrISMoBCcn+JKgoEb9pn98Ui /Ssh5NOL9OePpz8DT3/UhhIe/I4FqTrcSQ44LnhcF2JqqAVEkP6TF/Ixk2jW hTJr2cwBFnX0XjypZOz8HpM6yvfy9rW9VzODOurPunX+TtgfWnXUn7RRNP5F MZU66u/5YFkjo4hMHfXPnLzIwPoWGb99f8t7ITeG+dww8G3Lf+1ejRJcSnv+ r9cOAwL8meqmHcqwmev5/SQOA7eKzhQ3jarBd8tmwbtHEXmdu012hA4Djx0J 2eM8GKCKGFFpAA14HLVeM+6PnIcf7F20bI+D/1aH5IQtFnDmTNxEn47Ddf8/ KYcR+fsclnqsJtMZLmU3Ktc7Y+EOq7rpzEkXcBl2+hzshwVnU4FU1qcu0Boe Qmr4Tw34jEVk8rBeQHGyQMaeGQNCl1pUXtR5QYE3nuS4IAbGciVjMpS8YcK5 N7UAkV8Dcrh9bUq9If7y8Z4aOQyc7JdUk0bWt45SVO78VeR84Qkri/YzA3Wv 5xw1Ywf80+G7SU+HWg/4o0lTyBJkBg74n/G/89udxg74m/f5MyVGnemjz3qA 3F1v6R9CGHR8aIOUXNvpsDCNL2FYzjQHJ01VcQ32/fsoc0ibt4qKReT36pTb fibpBJQP/R3pzle5iwQ45SUUsCOJRf0fPDSW56bisSif+dv86JDvf9Sg9d6N unAFL4hciLlx868aGh9ZLdPpXcV4wGcc3FM3Hst/wEd8y/65h5rEAZ9wKg21 72/ZAz5gfSHf2Vn5Az7flGSPwXPHhFH7/C32YoYOfWGY4+C+imMgAtP3K0f0 e4RQe/0Zb6WeuMdCoEsuWUmrzQkv7szGPdZXQe33b5JzmeRABVgY71zVjxWB z/KUO5sFsqg9/8LtUO75PFloZ0zxph+RBKpGZRVZLhW0nEt02fgNowpYWI5o /luSAsnZhvBcUhXw/5TnLZgig96ncwY0bzOYq6L+BSUVBs6T7VjInRnkEWNW RvVNLcsO4w5iZaD3jJH5z7zd93ewfe0n+bQBh/qT5JiH5diK6KD+AtFPLq8u zGij/9dE+o0lOV0b9b/4rT1z+5+9LjxPAbsJBTXUn1leZWgnk18NPPwKcIHZ umAkrPD+3B9VkCF7g8nlPeCLWxeZtnDp1Ufv+z+bugSn2Oqj7TGwlMS8ajdE 63erXPnVwzJDtH705q/TTG4ZovX7UZDOJBtieJDfOPa8510LQ9TfJF1ZI7dd whD1l2ur0FIr3jGAz3+bf+/8UkH9n19/3XULQPbVjO5ci+RDhqj/RV80T/sN ExPUH+F+ZesD8RpjtL5aZI+sQ4jwaH0JIg50M5R4tL6f2nzJohjwaH31g/X6 qFnxaH0vHrcQP8KOR+tbL/3hTyUbHq1vtmWx0jYTHh0/ZvkEhQvUeNT/5Hkp b2buX1PUnyRx7Yl61HdTtL8DErNEKEZN0f62ar8+9qnOFPVfuJrQfEX/uina nrww78ABMQLantGmmQ9BmAN/ONP6OzjhYwS0PQ5bvRPTDgT0ewpssUeWdwio P9zsWw+lxxQW6Pw5lXiO2pndAvXfqv0w8SRfxALt75jcEdF3chZof7e+uc66 p2aB+kvxPsF8StSwQOu75hN10+6LJVpfloSWN4WHrND+q7TRvH+nygrtv5sJ YUw/J6zQ/rvac+GdEKk1Wn/G0VPkV19Yo9/3/P1Yp2jYBq3f1gQmLaXLBh0/ F/8gW5tsW7R+pXxkr7DRtuj3Q49nV7y7bYf2/3u+qmO4S/ZofQtDhbPJCA5o fzWQSwz64B3Q75OrCvNKKDii9Z973l9Oqe2EjvfgX4p7MQIH/N00o24KA4PI efPBio//z0G+5BtXd20UJZD9xEhWrPePC7jZ9XVH8qui/hgRjCfLxTGqENqk 65Dj7QYrCpvOD6fkUf8K8ZOxBdo8CiBxpjx9+70bxHx6UKwhpoba77SsUjgM VJFzNebRk5Bed7ClEFKsp+ZA7XMiNSmXXt7ngFm6lrjmbE/YsViybl05yG98 g4rM+fWGEtAz+iclX/MEHc38ihxyZZgUizLLLvOEv+f769lllVH7Xj6tkd13 NWX4HjW1dIrOC8SWh9VelfKg9qfV5NZB8g0eiGUmnV2N9QJv41Rns7/SaHk9 cRn7HwEZYEzJbG5O8gLa04ns01oCqL1ovWe3vdNWAAzpWPbq5ryBcmTkYamv AAxmJhnkbnhD6M3277r5Aqi9SFHjxh3WEgG4fHqeOsPdB26P2/pd5FBH7YPG Px5WEbGpo/tzsWJL+zIiD+3b+wopmlzlEHltP/5l6+fAl0JE/tmPL7nq+vie 7CF1dL9ljtRUKdrAwqiAY4NZsD7Qy35Ib1nCgn16P68ZIPvjAnkj9WcsnH13 04yY+hgcftcV0oOc/0Ivp80d94zBkd728/AbLKTuXr2b1W6M8qNjxv/IlncS YJnZTFl5QQ3N33F/Z+pDY5carC3ZxJ1tIcAVydg2KkS/NRx59rqf4A7fyD5r Xu9E9EcCGdOAhjuQMOWx9gxhgbi5tSS+3R34GPgYbiD/18thb/+i1h0aayJY lhF9Wf1is9GGsgcQxWxfS0ew3A/YHZT3AIIRbYsNUv+vEjsG74s8wJOC4brY Vyz0DMz5kgl5AjV9ZtX6MhbOl94Tasr0BEwsPfkkou8n7o7aUDN6wcZ6gck2 0j//Csgb/1z2gsOJDo/tEH1N48TPMzl/vCCjtPcJPaJvtY/YZK+e84aUqhFa YUQ/Egq+nflz0Rs08OyqWQgeaZI2bHL1gWUPx3pmRL8LbvokoZWiBylKjUnc iPzpkyB8M+K0HnAdDSEXR/CI2gMlRgRzV9ynePXhgD/6Qu9XcO8+4I82I2Wc se074I8+KjbR8evdAX/02IZ6+drUAX+0xPJevq+9MDCmP36bXHkfN3Dyqq2R iTDUNV07QmG4i7t68fpc0BF5VJ4hGTKbztSVB+xNryXQ/IKbTExMNFaUB81Q Lb9xWgowjFBwEA9SQZ93NTQWnT2jAm1GE2ccv7Xh+rqcWPyQ8jOE41U693Zx BOo8FfwpFRA4cU7qGDMdlIj1ZZEh5WfnY/d42f7h3K7/rE3LxKDfM5V0jjx9 FwOCR8NwhPFpXKbJuaeyCE61C6b607SFe68T/34Ged7tENsPuVoq6Ouy+1GS hYEaTq/q0hASyHGMeHb+rxAsj+i1vnFnAp1jNvGOK0KQUK2obDXPDH33M0lJ 9+RQ+Ww2oFzmDqs81Gh6aWQyMgMVRcrHEEZ5IDUfJlHqZYZPcQ8mR17LgW+q t+OV3zwg/5f/d9KyHExirfdIjnHChZPUj3JuYdDvaX1dHlm4gwE+gu9KQwQj cEZ5CkdnYOBO7t2pdmtWSK6S8/idhoHSY/bvhT7xgK9AMYX4bQzQtpEdHy3h gAneE+7VliowKJD99v51fviZ3vVJ0FgFhsPl/YLihcAMaz1x5xoGlR+FZN7m +t7EwI/+CYXnr/nBr+3l6rHrGOBsePag+bkQdGQHmjsmIfKvJ53q+9ticM2h cbMEeX9J71tW9bowfAX6KYUfsrCoaqQ1b34Y2hviC9vFVaD5aNzS3anDwI8t sjCKxaDy5s13lsVrlzHQ4YzLGgsWhzLBmx+5L2LgbwsTTUSIJHCePONzJgwD EaLiLuAuC1+7pR8rIu/b4+KyytYk4YUtT3L3pDLqn6KX4hcR2aoMQtT2p4aG FYG15MbttduUwDZ7+6rPP1WgJfZcx/nTwHT8039Cl1XR8y08YYgLh7w3lvRl aOgEC1wiHSinPq4Mave4ValO9OCmeN7exP9H7+7sr6FSGsatfPa0YtrCouen p+Zc4qWXGFD7cDnrRPhf3O5pzxuHPTHAXf7RlQiUYW+3idMnWQ2yui5X6yDn h2zHD58jiN6wLx95sff909TVBPkrN0682RMD0qtbw6cbNMClX+vnqXA+mKwR 33x+CNDz3P9l0apxlBYM49PDVXwFwVVIN0CKHQdtcwX6rETCMDU/etqbVgvs 0rzTwvqFgOHf0MuHilpALbzyXGxEDd3f2+o/Yx1/qMGr18kinYFH4dFnXRho R/TDw7w/omQAbuVsXRY+s44L+I4b/HZUB5wTcDj7mm2cmPqbhjwpHWDzYLQq lCGBhzXZ5nc3tKHOuzbQOJ4Edt8v7k6vaUM5PYRJplFBgXrnJbWn2mh/uxf6 fH6uqQ2tgV/begMYIWfcMUHcVxusKFjiJEtYgJ/3fU8LnzYqjwpo8HmzjgFc p64luNqzwR+lqzOamwDGqw82dK+zQVObv2vLCsCdbHK5QQwnWPJdeCj2GMD7 pN8zOVIOEMHXsbW+BBig4QvZ/SEDm+QG56Xv68JflXnmx45q8DVMvmYzUQe0 Ui3ureupQV2+D4vDtg7o8ViSPY0WhTSLUiaXHX1wseXETCqJQdemumT4iD4w XLGqiZ0UB0ru8c2UKH1U/pk6ZYg7+VoP4nmTzI9flQBFJgqZIWZ9mIzxtCqn kIKpIws9tx/rQV5pjgntISkg03lT1VykB9n3Q4/V7z7GvcGHBDH1G8KukRZ+ p+IDzj51PIer0xBct8QTc1+u4wLD4/5W1BkCU3enxOfX27i3vJ1F2EpDWMhJ EngTRQx6bYtaPTmG8NW9/tJbCVK4d7fL5lmmIRzJ3OPrlaGG+WMvijMuGIKe ScEdv3FqSDl3nEEz2hDW875P2mswQaAqJsHLGdFX2onCFv+wQlSv74U+rCGw 6z57YV/LCUnvonab6A1ReVDQ5ZbHpRYDeBkbn0T7jhfOM1QLb40ZgL9d5gmP XQE4tFDQe7TIAJ2/A0Z3HI6EG4CSoXISd48gzCdoid5JMYDvizlikX+EYEgy 4biDuwHgF/8xunQIQcGIIMHupAGsi/UnTaipQuog0yWVAAOQHae+wSqnCkZn fieSxBug8SjltyjshbuMgNX+gSBOVgWwOflU/O5GYPZ58cQzGwW4iw09ezLR BOTH1qNmGhGsy1DH6GACLS8YWG/GKULgp1+CvN+NwY2d2zde/RWOxpGOueiP KYhwxSSwPX6L+3yu3CcE0Xeu077/6Z2ygbu4+K/SiRwPUtVxnX9Nt3Cyv3cG T1Hg4QuWYMc0RAwG8UMLgXR4eBsSe/bzKgkoia0EJ9Lj4bblJdPhWSrQzJNa zGHGg/vflge/5Wmg+UXl5FUWPLwsumstTcQEZ+gd/91F9LHY0S7hriomKCGi SFRE9DWeeFGCKCsbOGoXZZEh+O6on05qDxu84O+iEkNw/Dmz8Wk5Lmh6Y/nV G/ke5vtLq7gRLuiytEs/hODRc6ORTwh80Poo0FkMqV8vI+fZ3Pd8cKg2aNeJ Fnm/qc2Do1UQDC53UySQ4OFC/2qUw7IgTJw/y1JIjIfLz1lem7wXhoZxFq7k H6bw+5iJesUXYVj+OcOhheCmn7xZShOiMEp3qiJryhSmctbnR7rEgetul1pX uyl8lznr7lQsAZyliVkF9w/yKfyrDhN7bG8KFVQLPjtXpOCqd0e93XlTqBbv SCe1kQHXimH5JW3Tg3h/hb969Wym0C+xzT01KwMLQwMaz+VMwSBDq2uEWw4c oCrlJ7Ep5OVMLDzgkoPx6cFmGRJTUJz0zLqx144L9VUyuiFAgNPM7GVXD23i PL9fzLqiRICgxFejtjvEICZsEV2vSwDK5IjaE6MkkPH4aHyNPgFOZB5PLb9O BaSva4MVrQjAv6kYJF9CA+dnLjxYsyOg+xf5252s8Bjk+9aHbWnPs8KPj1OV HecJoPn9Z0K6LjtQKkb6ZUYT4Iz5ezO8JCcQMTYVv79EgK3uk+JZxezgMz58 POQCAdUn8zkv2lrcIEBfMGGG6iMn5K1tZgsnEwBXUsNGzMANT5x1DQWvE0Bu IoLh6SYP5Lxsfu6dQQCDn11xNmw8UC/2pL87jYCu3y31QkOeBwR4d5Ji67wx HxCFmgy6ZROApPPiK9dJPpgeiYguyUXaz8NtwNgmAG6diuNrhQQQz8cOO18Q AGurHMLKIwK6vr9nK4y+rCYA5xg3zfe3giCRduaCQgUB6F6m8d7eFAJ+daIM ykYCqj/aX7v3xKSLAFeftvIoNArDEd/qo+GtBGjs/xVMKykKd7Ypf671E9Dz kqDxRCt1lADFTZxrdXmiENIWHV0wSIBVnrcPLjqJw0IUQdZ7moDquy/6k2ZD /8NvVDAQUXBZHOQlyX7mzRCgjfUD9cJ1CeBI9WR3XSNA+s8lrpFWKdCMOcVR SWwBT/CuSSIrMtDS/evDWyYLWPDa0BnglIdcH4UlgqAFTP1Lowm/qgCvjpWG tkpbgOaLDO3QPAVYF7Zr75axgPLjCuQblxXBvrHY75KKBWSlWnbulisCx9kP JtRqFsCXQJ8ddlkJkl6s4B+rW4DD7h86w0YlqLqnZn1XwwLqGFkKJ9pbcPmH aLIiJiyh9ffW0CPMJm7URjoas2cJbmeYximebOKYE6RSuP5YovYQnexX320N rOBi7d88/2RKeHijzy5L1Qp6zL+cTCGnhQWMBemOrhXw2sxHNmcwgFLdJ9kv FlYgWEkU/ciMDq713Io8fcwKPa+jjuxWsp+wAk7c7PtHNEygRX7JosjZCoj8 rIrPpDFBGnXXNJ2HFbz4J11NfZYFqj0q7O3OWqHzv3TVvI0jxQpkOaf8G/jY oC5WbObQRSt4Z7xuVmnICYckMyrrcqzg+/LNLrwkHyx8TvTu7rcCqhSrs9mV glD/vuZv1JYVYJrrOC/QCoE502Qn0R8rdD5gPnrvhTlZw9eLJ8U234iCim0r vaOZNfBORciO7YlCUpH2jIiFNeRm/iUS5hSH5i4jSip/a3R+LA886ZZPsQZr Zf/rG+XisKh/y38u3BooJX2uMDyVgDWJn1nipdbwslTnc8bpPhzHlUifnS4b qPx4UarixzvcL/VXT07026D70eQGuZ8IxgaO7p2wzHgmA3Xar0tu89rANzfv kVfHZEGAJF/klKwN/OakxzkLysFWlfRlSiMb1B6l3/pe1j3CBlKWRwt0PstB aCJLYZ2bDbSyMFx1vKwAPHFEgZVlB/kt3Lu+uYOyLehNf7+av04MKatLnkKi tnDHw1/T5xEJ6NI7hppK2EIXd/eIjRAFhD7etPiha4vOl4WPJ/mMfWxhhE+R 6pszFaSvtbWPEWxhdH02om2IEdiPDq5FJdqi+4/T+RppDyY7iMsQ67q3yAnM 8heqiH7ZwrX1/ge8U1zAQ9O6ykhhB+rL5kcPlfPAdCPD+piwHbrf6PzeHlAn 2MFkx6qyKxsfdL46XV6LtQPzdwKTE2WCUKZuwPU2xg4dX64dc/ciOXvYdbyG He8ThRuFIXM0bPaQzftAIqRbHOjIeBXnfOxRe5lbK7VVA70D2IXTC/6k6MdV bKdebdu1B6eQ0lNxWWu4oWtVeFsFB7T9nwaqd459coC/DzqMrXupYFhT8xa+ xwFSoWKg/xs1KJ48Qnd3yAEYFU4mN4wxwGun1+XSRI5of5iU/naUn3EE9rac CsmLXLDBNlYf1+MIN6MuRGvHc8GPOEvhpwg+qt9q1rbGC2Rkrj+mOJxQe57D 0wyqxS+O8Lc6HPs2QAEuO1UsFj90hMexHDnh2QqQ8Zr2zKEXjkCgpQznbMOg 8aEMZ9wbPPMxoKmWpiJV5Qj3//0SJa/AQGep3NsjQ45AtThFM/sZA/iHch+e eDgdxAOSLd3if+0MD5eONtXmd+PumujgWSud0fmU9tXNZeaWCww0js+sBhHD XJTNbmigC5itkX8xfUYCHf9oL3TEuKD7g7KSgZ5HpCuwhR//FxzJCHSuk95B Oq5A7jC9457HBIY+x5hdvFzR/jrv8t3ws4EbkHodMsec5AK2R48OnVJyg+o2 Y7ov06qof94mQemOf6cq3KL88EaUyR3VtwQYnPmoC9zBL5v6vJjbBs5SOZsw l+QOqxkPscJZm7jaOR7HrevucMxDXS2MBtFntrJVDl9wR9Z5+9jjd4qofx93 XCKjfakiWBvFs5b9cQett66DqjfUUH+/ay3KotWRakDIV6vfdfcAK+63p0uu qcG2ZGnPkRQP0PhEosiQpwY8p2TeNrd6wMO0B91VGWpAd9wu8muRB0zd0lNL 95NE/QXt0s8/KGOWBLrbbl+7lz1gYvTYpdP5Smi5miN11dJFJThOSzLTPOsB vDsd9Cw3laB1/vKOz44HaN0G5eQ2JWDW7iur1PAEycIvuQH1auj7TaufH3wq V4O9cJP5GyseUDIWNG5WqQbQUmzW9sMDHCdNjWw61BD9snPpqpIndH8JWXIZ V0Ptn4yaqzQXX6tBNrN0T52DJ5RubIwYf1GDL89v57vVe8KlOirnNDNp1P45 0fqsxYBDGuIefqBWmvAE35gwzwB+ZTDMcyKPmfQEgdKj+Y821NDnqQKX3Hy+ qoGk16uC7E5PRB6NkbkzzQ2wt6VMrOUFtNNCzERN0jCnd+nlLQQPvZKpJbqs jPrneVAXDuNClYGoaWOxt8oLNG1/K1rEKYN1Ke5J5qgXMPkN2TfcQMq5tk7N UXuDr86zMZOrylCkST55e9sLigSfhWaE8aP+e2byA46urPzAsqlMWynnDeKG 2Z2z32TQcrajmypxPTKgerI42ELaG9QFJ2pap2Ug/egm05KRN2z2DLIVEMuC Uasr9XikNzDGGd0Q3ZWB7t8TfPVnvMEhp/sU/wNl9HsPs3cO1d9TBrNHQ4Ot //HPeP3+ml2OMlSRBYTs4bxhLW4n7UGRMry8u9liE+4NlSM2G/K/+MGdwzDe NM8bmuxmF7xkZFH7MD3DwOUafln4LqmAY630hsNWr2lfachC05crTzK2vCFv M8+gqEYZfb6+Z+F5XaUycJz5bf221Bt4j2GFRRuVYaKdw4yw7Q3Je4+Zz94U gKPvZrJ/i/lA1N0+3LapLGpfTrlAtNigLwtfvXeWJnh9ILer7umcuSxs3V0K 5Q3yga94xkdTLcro8xY/vkvINyvDYGkLiRqfD4SkZHMYtSLtj/ZqzQ/0AaX8 tahr9sIHeUT+J3+bTH/sB+Y+BtB7F35L9pQKGm+Um/Ex/Axq36ODFUq+OdYO OTT+6ENMmi8mDYPiPXUy7keJGDQeae6SE3dAGAaNR9I/E7D8nZ0dPIujozRp lND8Yv3vrV4NuCoB2fkjEz80Of7H/q2I5jNf11Yge7mrhMYjK82U37xOqgam XceJMh3o4e2wufttYlUwyT39jx6HyFeKBdz4URXAF95+PRKpDL3aP42rrqmA VKvVi/7H8ziMYBnD9wwsDDx58XO4aAlXEZs3HBqEhQXtY3ZyuofhtksYJtpW HRxEb9NcWhVH78P385U9Gjk5zVipDl8sh2qiGg7/t79fPxaatm5ldOBE4PS7 G8tOIkfRfKh2nSmOFaeOovHqv5aFmBaFAaarrZiSmPn++3dmgKFuzEaEETfs 9MhdsTwFwMS+RdRtwYX6Q+zngxe5VZ1sHwewrCKh2UAlAK2FGqbX7+FQez6L bJVy5U044EfqajeQ0dGBV3MWQ2njv3GZExTVctw6aHz5eIFRNhupDrC7TZ+X oyeH1Q/pnUND2pA4+8TP5B85mN5envv6Uhv8X54MHKSng3Nvidc3r2sD9SQN JW2yGvwRyO5vuquNxivXtH4cHe/WhedEBfLThf+5b/mPX7gumMWrrl+Il4aZ CIfmAmk9NH/fYgJNMKW1HrD/u9es/VAWhPVkPHKsdFH+qPwUW9vzu/pQcEUq 5lC/GHwb/zAVXqcPNern3XdPiaP5xFT3nCJnnyDjF3U/ictUH26RPbW/nqkK R6wm8SH++rBazPGSpUoV5dPaz8/7ZKJYbktCH46kOA4fvvAZxzv3kdH3hSHa f3UrW/86Ggyhg+xjSo3jb5w0c2zBWLEh2n9JAWs8efmGIFRz5tP9ITKgaaTI 8k41ROdrfYd6JdllQ9gqLq4avk4PemtnVTUDDSEii2nrDp4BzVeeoMfRd4OP BRat5uqaTQwh3C+M51MdC5T33uoN1zcEngCZPY337PA2V/h8pKghkLdcfquk zgmKrvPnj7AaAvfcTXuOa9xAQqsvG7pjAI9LyL+y1aqA8Ta1t/8FQxhpii/6 Ha2C5l/cz9+X9IllYi/dEOUHcXP+LZXOZgiiCXQF11pV0Prt81Pdc+gXm08y gSuvFa44USlCe3ed7W8FE2gTf5Q1hVVE85s/f+cVN/NZET54B+w6VhjDk9f3 w1WYFnDxT1+zK5Pg0f49y355YPQQHiQFiP4M3d7FeUmUf+CjxqP9O8meddaL Fg+BvyQKCBNksPqy0cmQEY/2L6P1VxFyZjw09Cmxd67Rga9qsrYfK/6A729U +Mo5NjxEZA8UulOxQOpzyQhJdjwa728jdVbIBsEbNXHmGYIcUGNUmSeAPL/P n/b84/tCfeR7nKNRe5I4HnDY6svpRP5/fz1jKVI8O+jxIDLjX33bRwDGZKT6 AinxKN+Wg6ztnDIZHkgzbxO5vhIC5R1mLr1dU/QegEnE6fzotinIs02rqn0U gfySM+dzvpqChVdohdKyCLDJdd8nR/AhEa72c2/E4NLeC2KKIVOg3A54tcgq DvhqH/3eV6YQHVHVp9h4GD63E/2trDKFNx0Y94dGEjD19bbXg8emEHS13F88 SxJuZZgknL32/8k3X9p5fnXRDEp5738vuYj97/yDHWZQNdcoZ7+Jgdn/ug82 B0678QUyr3nckptUF60kAdiXPglyHP+Gi73R0swoTYCEI5wbEzZ7uKiu5MKL mgR0/CQPHRZXAQJ8qA9S5ewgA8+wHzw/TAjo+CU+vCG4QSAAmXRIRfYjDAgY BhcbixNgTXnamaIXA8L/db1kjuYLfHd4qqeGkQBOMnzvvlBi4Bb5iDM+mwBx tyS/PHwsCXP+becP/yLAC6u2u8G2UlDrbvNV5y8ByC9wJLqMScN4CXPpdyoL 0DBlzJnSlgHBNw+7y2gt4MeYIBnxITmI+EA9c5zLAoLMdx6ryskBaSnbJ3Vu C6Cro5TvpleA5yLHdv3FLdD18KyuMSNB0gJqC3o83lAqQmADw3K0ggXKrzFN 9EXZUdkCdvroBVnJlYB1nv7TY4wF6id3F9+5HqJuAQUa39suUCLn+aW8VVkN C5Qv4oou0d3XSPkbppT3ehfmcZHHP5gJLFmCSLAk9VGKb7heH2yQ14olSAqZ cMb0/cAR/kv+s4RPxBXjDXXcsHjkor1djRWEKst/lzrMC0kfdtq+vLACOuLp jzdzBWD9rxLD4KwVZI2xRro/FAB3VYUB8jkrdP6yFoc5KqxYweKntDKLKgEw /S/50AqVIzacqSSLV+zBPKjgVmt1EW4/fyavYglX1/8r68rjoVzft68lypoo FaeQaOwzjCFyWRrZwzCWYTZJkVOhyHJEJWUvHYpsUXTSgnYpWiyJkoo6ISlt U8lSqH46fXr/6Pfn8y7/PO973/d1PfdyZZkQ+km//K2MwMUu/xMH8xtu95ft NyTyn7/0PuMz1ll4vOMCeWEzDLZRiXzo7Rti9pbtWsR8j1/6spFRozlXB3nI scyYGR1JJu7bhEs29ZdRiXVPwqlLUi9JxHytX/GHfXD1unn3+MQ8IgXvAqUm 4UDcyV173+MLlai3v9QmejYsgkLUoxlN/WXaWadD1KM9Uhyo6c6hEOuHlKc9 e+V0ifq0X/rcM5VEh/UK1iAmLWTXQl9p7LblRUay3Ah/deSj9vBFvhsSzHdE yK+btAzznj/LYBaDsKflD5YVZCkwcHuuEcsqXRUic9TLnMQ9CX9yc+pmyiYl T3y1m2g1sFOHdQ1PbFLbE34uW+YlipAgeVjn1Is7nrjRbm7nOoOEPvGhQP12 T2KeyVaLELeZ/3oiR1djbHAWidCv5Siar3Gxf2757YKT26xuL8J/r5LY1ljw 2gsLFKVacxrGLfm+vaKyQkxIbvJdbPjNAMkKek8z7noR9vBxocH4LoEXZKoL Jt/UTceLMX7IQjkmTm5bs/a1EhlX/zMrJurohecYjDnYJ5vVa17BJPx1aNXU WvJ5Jv5ccFxo9wwKtiwMszZMY4I+K+uYog4FGV+LrjXmMwn7yYqkR1jUMmGY ntZ2BhRCb1e0ahe/5REFX5JfhYS9ZWLQ9M0Lw1pVMC8mOOiXeBP7yZdb5Hb2 gjeaXvZXd1mrQ76uwNmnxxvf5TW9ZZs0QdrynvEy24eY78g5aV3kUe2DiPFL 9frmy8DsexqV+sAHjvkFl640LyP0ZWvn9PbPk52y1P0a1d3G9sWo92Tu6Z4p y/gGurcy35f43mPJSrcZ4b7Yvk4441THV8tf+r/dlJAMjpQOFh3dfrUy2JfA Xzy19q7tu3wRs2hJEmWtLqIiJq6cOeeL+qaQWW+/6xL6tV7fr5W3ic1Bg0zu JSsLP3Q52M2NypwDzqJja1VW+RH7PWr0xC7cxw+hLwL3NMgqEHrDT4VW7ZnJ N4F1xJNZu0h+xPzN4deVb58z/FBzYqNF7xYT4vm7Ct1+XqsWoTunJSbNjUX4 l7wFS8VPR7BQcfv77glJVdz1HImvO8gC16PmgU+8Kkp+/GVnWFgS/Tjx8E11 sFREfNOp/gQ+jFSznV3u749XQkHa6Uoa6G5ZbXYgxZ84z8o8ctAhqNAfIm41 16KCNQj9XV5Cgq7Kq2XwD1jmLDkcAJst11IDZpIwOj9e4/5UAGEPp12Wx3Zo seFhl6pyR4YExR/+41sAQtY9t6DrauMN/+Kd7EA2kU8JjHrvlrubDSdGW4gj U5uod03ckF1t426I2oanxRWnuGjT7LvhPs1z/sNXrVzcJQ1qDvCpOLbP/9FM Eo+YP3tvpfc9PyceJvV06gc2UH/yCvBg32MsOGOvBaEka6vNR3jE/5ewQ0fC 5CwPivLqgX7T61/9Sz8blzSxcX9hp9QeHkoGj39qcSRj59sVmuLFPCIe+WxL 27tr+vlhtc60m/5k4v0Rrcx+jW0kZJks3vd9Fx8s+urrfVUkon/JzVDPeTVn mm9e2g2fjYGIdHxTErueQvQfHZs8qRCZogO3uHO3018Eolz08OaOUh2i3+hX PbJvp7WWebQ9qLkFrrtu0wg8aX38cwz/Fu0nD/Pk4uLdct3YezRi/6gbO80f PqYR+yP0R0vjvP+ZIuAzVlKptshZaKhnLGSKK1lv/yoLs0XxH+puAp4R3gwo nA+6qIizPgI7Q+dFEJM8cEZ+lSY2L3FfGZCgB+EqWcGbcVUcejK+2ExiIRZ0 tukFOOjhfcX+Yt5nCu77slg7h3RxI+7d47F4HQxXnHwus8YAje7z1pcf1kZ5 5zi3Oo6Mj/QLJyT+NMHrA4L9n4MMMLLfrZ4eIob6D6lLX8ZTcVCb/aFwGp8d qrJc2EuhIqEw/MbwVi2oN946/eSBCW6ONbHUvxli2HITaH0WSJfz0FB2WAzN pXZDQVqWcL3wZ2rzpAHkrCdTY1sBnwPxQVHcPsvo4nSnewHWONngL/XRSg7N n2+Jfl9vhbKAsX5VNz2wph62zBezgU9mqpTx6HR8/ifhnLiFLdznJ6+Zm6CO U8drs/hL6PCuDO8ZjdSCoP/Y3gqllTiyepBVxlZGrzaN1fiUDp0q54dGw2QM zZkhEvHAHllL5Dmkdn3sfqViUl/riG8tmzZvBBleSTc0ToQ6YC97rDdwJwlK h198H4t0gp8+j7siSh6c53WzJDe4odddYYq9jor6buf+/l43WJwOk3zVJ4p/ NFRyzixloDTmeM2JI0p4raB+aKSIgX12Ay2vKrVR/954SuSrJxJOaM/OzJ+L klj/I/YPmdgk5ZakH0VGMSnYP9uDieygZzTVaT5klWfeWmTjDRuX9s/N84yh LCS9KaXUG2yBh0ToUWOQI8ISA6R9IJN5z2+IRIXMghIvtUQfBLdmHgqvEUVr 6LvudXm+qMs1/5R0jARv4U0vq1V8kTP7ivaSYiqesKTDOoV9of3s1GKzmSY4 KzlsgExf6D0b3VCZLIePYk2arZJ+mHmrWZKaMRfr9jfqV+/yw+RU9YjseT2w L4lFUafvy8cX1q78pg859jXKTv40ntp67Z+RUDU057UfFXrJwh4GJ71kzoSl nEaFwg6TAAQfV//iWaqJGHpRxgezAPw1Q3p7f5c0Or0DC+UU2agsP25u8FgL lOomm9q8AJCrrqZU9M5Fj7TCkPQMDvbO3VhVsMcI54XXZ7hkstE3IPMmkrEY gnzu6fUNHGgeq1QRbFVFBXu2Mn+Mg9CjlTF7thujOPpL9akLHFhtnrh2vm7Q Uuabk/VmNhdDFfedXmepIZ3BuB+nw4XpfMmbL4vVkRfHsH4UyEVQGtdxf4oB Ji8Hb3q6iAuLKxqpNh8NMBjpNasxiAtZm5X5ukJUZO/oNrkTwoV2oaqAd3QJ fMJyhDMLubjPO6vWXawBkYCi6IYnXFgVbVNozVwKxcIEp1RlHpTMlivu/m6I DaLyvFZnHsQ/R43va1uGuCL3vXQaH3EuNhUd5PmgSqyRkR3kw//CAqWJIwvQ v/Z2xLhBIGxZy6+RjmhjbdLwbUn9aTxYZST9ar4KwhNuOK7uCsSQ4yFzmSd/ YDhb3/xm2hpCz91q5Zk4spE7gX+3rL7z+NA03zih2DtDwFBFi6uh9So7FbgG dHW0py+GsHBK6nKKOiQPdfTY2KigJywtMWSUhHpx/QFlui601d8sNF+hg+ow 2onJchIiB5o/uoQa4XD7+47ETjJGx/Nr9iabwsoxIDwujIwvn9Ps7JqW492d KeHkT1TsGSv+MOFnge6jumVJiYY4v7ZsdH+7JRzGttaV5utD4UDNXfhY43Vr bmDTAQrkrSIzYrXskazvUWwgMEFYYcH2uCQWVPxcHLLqKAhPKd1atjkApdFh f715boTIDwL32YocrOCNnH/upA9GSdbXLwc5yOXn2rXJnLA8tea6XJEhFyVa NcE1HxRx+o9Xrq1MPmp3xvd7t5NRqaVjLFjNh1NIl83FPBp6/utPdybOK84+ vf7OVccdUZPLO0ozaZD7cf0VGyP1Lu8crhtiQuWT81QqC03mu1NoHWQ0C296 Ib3ZHztcHik+dqDAmDT0rkngj9t/D5REMnRR06pvw1bloDgv5Uq06x8Io7Ns kzM5SOPdCqj30sO+pVOCOywOvsxwLb1QLAJ1R5u845+m+Um6eAlzjRRcVFeV ZHF4aHCKTaoO10QDgrZIsnnIZJ5bYGIljwdXLp/sesBDa0NLfZGGAv69Xlox oMj/GRd1jNGXbc6sW+SOw580MpyraD/rb9854W8nx1tW+TTQf+BvfQ4+vK1J 6i6n/eQt6zl4/mRLdvIpGhp/nP+WcRC4otc28ALtJy/q46DvGDe4oo6GdT1F pJ6vHLRZxzK055jCXrUv5sMZClJvxWSYSJnCNriSvnacCnKBCJk8e3pNo55P 55igySplNnOmKUTM/3ff7LgZhK8UVVyXMYXH5ShGhMxymAznht4TM8WDw6Xl tZwVKLSWmHdX0hRKj8TU/rm8ApymZ3qp0/H3zIXIrtlSVhg57whImKJ3x0b9 EmMrbCv5V81/iobXvX9+HRmyhqz4Fs4nEVOck943oiltg0VZcnnBYVogyX6a MnvvhrMnKs3esLRwj23imFjqCeEUe9OLpgZo3haoZfe3F+yS3aWnROVAT0p5 0RzLhPbqiRQftcVIcd8vYIV646JUq+Ca01IcsqI8inX3QX5EtnmXzgfLhiOL Dx/Q88VVf6+33SHKsOGqZVhLspD6oFn0JMUQ1u5R8yWWsHDOvqzjrTMZWVLx 70ymWMg1e19Hl3tn+ffdW8oVw/4YcR1NcuEtxWO3/G9Off54mxoToceQwM7B xw/TmgKQGL1G7SBdARP5clplZ9loDi2jR9N10ORzuVHtLhvivALa5+cL8X2j r24Gh4OPtvyjVnLfLBPUnwr8rnLR/W2J8sRcCcRWqpfMWMYD7dDBZzIr5aB2 42Zq+EHe/6uf/L2/5/d5Vb+fF/2uP/h7/vx3faXf9Yt+z2/+bu//B7QsTrM= "], {{ {RGBColor[0.148, 0.33, 0.54], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNVslOVFEQLRu6Hw3N+ISmaZrZiHFAw2A3hAQ1JkRlasAQEwyaIAIRo9Et MiSujUaRjThEXThs1LjQ33DpD7jxA0yMdTyH0IvKrXtv3apzq07d91qv3syv RMzsq0uRy8GoGeZpl7KEWdxl2/VT5WanXTZdv1FP/UNoViKbp75+ppx2IzGu lWp9SOs4iz3MlxAvQR3rq0bbLZdZt8kF1HFuqMBnifCsGfV7Pna47aO42bLr Ta4/dH3S9Y8hMa043iBBn/Adcf2sr3cF9IG48IN1rE27zVRsLw5wbvi4aLxT NuCZu/XUv3mcHZdBP7NVZ3bYc3jFpUH5nFNOu417PT5m3PaH6/tc74xSh+1l x348YHxgxByYduqI65bHPCGMwIRz6Rj9pOUT/tKK1SAbxAOOAZ+fdr3fx5k4 84V5dUD8bcbcDbueN8YGBuCJ17BWh2qZa9QEdaxymxz2Xf9TSl+YX4qzNvC1 bvSBfLYH3MN6RQ3zfMR9ZgJiAp4+X2tEnpT3MZdxCfZOGmNjPmG8T4tLq0vO pVnzBeB0GXXJgh/ag79e+ZqQv6xsUSfUqDPgHZfFNWDfVk6mdCdgjKh3JhW7 X3GKXaKKk5Zts9b8+P/8ZnUGuAPEEe6Y5m1ai6s/VsVV8B34llXntDC3K9/A Upwgdzdtr9+Qy66k2a8ys2NJ2kTF71iC803ZFmsdnAY3nvjY4md++tnmJOsO PSf+wOegODgnPl9X7pFv+LqueqKnEWNJ+z3KU6rSrL6S986qX3HvZdUpr1pl lONrLhdUt3XVGzHWtLegfM1rnhHf0QczKfIzUkNs0wU8RQ+i1s9SPPMy5LlJ 1TeneufFlxHhGBZf8ppfU+ydFGvzJiRnl5SHCd1tSTlaFP6GSuYC+exRjhDj bUjMwH6/hv322OsS8/UHzokDtcxfvzg1r/uvimv5Ar5j3O2n8YKeGFO8UWHZ 7aEF3aelIAdRcbpJ/O4r4Huv6ppRPOzhXQRfu8XrNuHM6e2Ji/st8htoH/Ni xYG/iOKlxRnkCzXdfXPTss0qdrPwYt4pbsK2SP4ahQW5QzzkPVW5t5aS/37N B8QXvAXgzLkkvx/nk/RXJLzI30YBN9fFzeqQ39cJt68I2XsjSeZ3TTW7mOL7 /Lfa7EVIHoKPn0N+A774+C7kO/Dex08heTvrNq9D8g28w/cJvfTdx1chfcI3 +Ax90vZ6GPfFewD/wH1b3xvEhF/4L3He/d7PuO/EO2AbEP879C4draU9cGXL +VZU6fvcrrjP69jjdzzOaJLf6bEkex7r+Af4B+O5rBk= "]], PolygonBox[CompressedData[" 1:eJwlkksrhHEUxk/TeF/vzDvD+DPvUG6hRrnuTLJANu6UkmIxWTIu8QmUlJLc yoJxCRvs7HwVX8CCrVLyO53Fqec558z/PM/zTmtxY74UE5E8FafenciAL5II RarBlTUiffCVQOQI/EJvJCUyTK3lRGL02pkvMT8E79Bb9uyNXfBPRiQD/k2I 7DP/gzfBF9k/gHfViVyK3egGv/F+P7iC+ynwXCSSDG0nzf4kPA73qDTzZvhH knvoWeVeD/wzaTf1ts/OSWA3751pVK1t8AdnntTbGL/fzJkm1dbI/JZ5B5qO 4YPcv4Z3wvfEMlhnP0HvNLAMnsBTkWnTnYC3LrIiQ55p6o0sU802oGYj86he 1ZN6O2O/4JmnFvgM5YeW6Q2zR2fa1ZN6u6oXaaiyG2VnGlWr9nS2hcYFzzLd Bt8586aePGcaVItmnIF/1eKB/Tw73+ASvxlNWU9n+s3122vvlf1nZ7uagWYx wXux0G6Ws5apZqu9cfVLJgXfPE3Dz7P231DP6v0f7lJCwQ== "]]}]}, {RGBColor[0.6932942829180384, 0.5473558182779048, 0.41151390397150467`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmOtzlVcVxre1PWkCOSfnvEneg5QS7jDVVml1RgcLqC0CgVCSEEgoUARa UUIJ9TbeZ1ou4vjBqe0YpJS7pOr0QilgKaPO0ALKpX9Aq1WsM2h11A9WEV0/ nucMzGTP3tl7v2uvvdbzrLX2GbNy/cL+G1JK59+T0nujv7MupcWFlLbFeHUx pTXRzsf4QY8vxPhjseeH9SktL2huted/E21djH8d/eZou6I9HW1bJaXPR39D RbL3xPg70bZE2+19/UV9+8cYr4j+gWgrYu+Y4Sl1Nab0p5hfW9D4XFLf7fnJ pZQmRXsuxotiz/gYb4/x0Wg7rUNPWfM/ivGygr5h/+mkb89EPz/ktTfq3B7L 58zlRem5Nem+2OJzMf9iki5no73g+3P3I7bdS9xthGz6Uqb7cc+LtiH2e946 HvV3rK+P9kisnQy9xkU7FPO9MXfzMJ2zI0n2Ye4b9+ouS5fbQuaT9fLd+mjd rEc7Zhtg5xMh778NITfGjZns9WL0XSFjbKw9FvNPWRfOOOT7cbevVlO6L2zy q9i/NXy5JM76S7P07bfvVsbcwtizqiBbzrU9G4dLD3RY0Cg5r8f4NfvutHU8 ZlssDX36yvJLQ9z7VPTPJsleYPnjbZ/t1pMxdri/LP9i27ujLcb/0aZHW+L/ p9k22OhTIas3+pnRZiSNlxiH+B680q8wDkaF7FujzY7vHg2b9IU+T4Y92ota W5eMX3/LXubhwMKYGx3jjeYIe/vBXszPizY/ZH46+llFraHjw/Ynd9jg/7nD gP9vK0nmnILkD1j/94XNe8F04GJkjJfGeH6d9ET2pmh/Df/1hc/eadYadxko iJ/cGcwfD9n/DszEXxoZ41uifbKg8zgXe32gRTHh/S3y1e+jvWV+/cH/V0KH Dvsdv1702qjhwk4tflw0j/Ax+8EDdgGfjxr35809ONplnhIr3jZe0avNdoYv Y0rCNXfibviFe3CfriR7MwYPd4UdBuu1B6x1GG/of+E6fp83R6bG/idif09B uLochvp4kr5jrPMu+3uLcb7J/+/23Fb3/fb1shHSo6EiThND4HVnnNtRkI+X 1ovz/N+ei8tw+kAmezVEf2+TeMIafG2rE95H2ofcd0K0oFgabj+dus5vp+2r OUV9B0e465Q63feeJt2T8/a3Km5tCU5Mr5PN4DP2w3b4kbh5T51sx/nVOtkM veaYh6PMLTC6J9O4LhOONxSk47sN0nl8tIOZvt0e53fEno0FYQg8g2Xu0ZYL w4+3au2MMQbewB34m9WkuLHMeQ1d0XNPq8bfjnsNlRW3icOvZMoZX4n5f5UV U2+Pc3aM0L2eivWPBB/mcd9MeqP/W8YvmD3nOEOMBAvHjHts9a2q8P2N6L8W rTPGX49+QS4dm0LmQzEeG7Zdk4sHcOCcOQUP4MObYag3osX10v6y/AYnJkeL o1NcOU20/xvhSL2wR65eUy/9N7gmWOzYgA/X2j6T/B2yiL3EbmJ6v/MY9j5V Uqwnlt+RKwc9EXbdlykuUiO8UpJfx5tD9PDobvsZnPaNEOZvqgj3t5kX073O PXZl4vQW6o6qsPrTmPtyVTnpi9HfWFFsmNQie7AHnv4vdP8EcmJ+Zi5cpoqw Qc4mp8ApOE8tcWvIbQvDrc7FUWyHjYoV7b8PX+WKxcujX5ErFj+QK9dMtP3g FmfV8tAk+4fY+7Lt8uew3aVoU+wHfLTH9+S+V8qKS8SnWj0GTsmN5NIXjHn8 sdG8OOv1Wi1DX4uvhx3frjTIX/A0qyh+fyjsc2Pc/behz9hc2FxVL1yUhov/ YLkp9v88+jtif3Psb4q17lx5CWzBafQYMK/JUX3OU+g43+ubq+L2hZDxmRHC ZEtFuGT8nySsseei5SEbmftaJWtTyKhWVDNObREnJhv/eUVceTB0K2SKTbsz xWXiMTm322NiNJgBL/DoHefQ/qq49jv7iFoLTINl7PSmOXg4E1aoDd/wPPs/ mMvHU6Ovrwhj83J9w76SY+Y06zLZ81fxEPuaw7bVkF0fc/c2qi4aqGq8IfrV 0T4a4x2ZsAmma7UwY7D9s0xcgDfkxG7fF5mvllSDwuHXXLM9HPsGo/9eRTGa WL0/+mHDxHn2TjL3qbfpT3mMf8AAPgTX3B3ukWsueQxmOfOQdWA8aN7C3x/H Wd+tKBf+LfywqaI4TDxG35PWmfgLTsAO88jCPnCFumCnOc+ZD1UV4/A59RX5 kHtw39lF1WeznW/IO4Ot4skOyxqXCwM3ZarZajEMP10y5shD5KMftKrGm+Z9 4BJ8frOq/E1e/UmmGn+HOUluuWI+kmP4f0J811fUO4H8xHuHtwE1MfmfmEW8 AlOMF7meIn9T84OB+8vX3kLEC2IFuYWcgk70Y11jraqqHhydq8anvid/rYr/ R8d4VKZYgt7oTE5APhg7YN3Qhzx1q+s/+lGWz3qP9zzjnPK8Y9QY57bOst4t 6H9LJv5Tg5y1XOIfd2QPddi+6PdGW1iWn+jxO2udnsNei/yewhZL/Qb5bC4b ED+Q0+lzuct+v8GGmRu8U9p8r7et/5DfM9T4Q6Vrb4UhvwvA1MGSOEesPeG4 8YWw85yw7yNVyWf8nDlx0m9DZOLH+a7rDrqmXZIrVhOzx5kLYJ7+VY/BRo9x gg/xJfGafNXu+glcgmNwCq6JIVPsr9H2HZyBO3fmylXkLOozenIYWAHvx53L yIG1GA//id/URawRM+HwZY/J/fQnPL/GNc/aXLEEu2CTnvg/482Ti7uLrPc/ m5WbHq+ofuaNROwgzhG3ieMdrm8GzBHiO9iDT/Bq0Dbv9bjzOhxRyz+drmEJ niKT+nWz1/EJPu6yr2d7TDwg3s20H3kHgocZLbLJh1uUO/HJl6q6F7Gplpeu fzdsSdfelOCIOWIBOhNHZ/ttuc5xbZtlHfQ7aJaxOc86bLD9eGtis06/LcHn Zcef8Y5tYITcTP5dmcv3E7y+zbL4lhpzotew3ybbrcucwn7/aNbvCN+vCDPv 1n6vSKqLat9P99m8N+D+63H+Xc6h5FJ83uO3Ibp3+e3U6/vwRqamp7Y/k0k/ 7so870f29Nov8PUx+wtfEcO7bJON1qv2+8Gg88LNmXSdYV3h6DzLmVuU3+HM kH8faPc5ex1bFjpeYaM8k568RbDTPuMPzhb928pez/Mtc6yBmzm5MEuuXmyb Tfd+zkM+vGn2+5a3WuYxPf8TR4567YhxNeSYzFkl68A7hhhCLuhz3AN79M94 P/H1gGNmk/VHTzi33zGfOhL/4btux1h4tdRy+jx3wPufzfQW4H1QzlTX8E76 e7N0Op5JJ2xy9XfJVsWNjlzv0wX+XYK6FezxBltX9Vs3+PeLTGu/JCfnivGN Fd213TFzp3Mx778m6/ByJgzNMD52tqr2mBsybm/R7wyVTFiY6zf2kUy1Pb8B LLGv+L7o3+t46xeNQXBH7XU1PkX/f4Fxj+g= "]], PolygonBox[CompressedData[" 1:eJwtlNdvz2EUxk9EVf3a/vi9bb9fq9qKi8aKmXAjZmK1VLUUrVZrj9h7JFYk EonQBqFordgxEyMxrrjiH8ANLgjBDWJ8HsfFSc55n/es9zznLaxbUba8jZk1 IG2RtJRZ73Sz2Rlm+9GLc80a0QdyloHdiMzHrsoy2xmbdcAeDFbD2QH01jyz Ve3MZoHvAj/IWR3YCO48CmYfc8xmYo/hTiv2705m5eQdn21W0dnsMmfF6Z5z Gf5DyP8TfDJnQ9EPEa8ebBrxt8SeU7kHgd/G9yKyi/uzOPtErtPYo8nVLWl2 gvi5KY+lHtTL5xzvtZQ7V7l7mPp/dDDrSYw94G2Qpegl1DcD/yR3mjL8ja6h 76aG2dTSNdNsbmR2g7MaYh3hTl/qrY0cW83ZGWKv5/494k3CZwN6BfhYYi0B j/Ddxtl0sErkGXYlOSeSexQ+f3irdbH7liAPwcvxzyZ+RyQHuz31HlX/+MzB dxP3p3C3DHkqHJlArgJyjoy8J/VWwtm54D7yVQ/q5QEyF71WZ2CTI+dCBWfZ wWem2Y3HbsF+HryXBZzVglUh5eirxS9quxXc9xj2TfRLwXNrZprdS2QN9gp8 6vGdR758eitA8sEeB+dSEjugV4EH9Jf4z0SfHvlb6I07kq8I+3UCHfs771eH XZruObrhvxi7iPvvwReh1yBdMp3D4nJD5LnfgUfEK8VOEO+aOBE5Z8Qd9ahe Czl7lfCcbcH2xD575dyLPhE8I+EzmoDeSI5f8O030oRuKZ+NdmQf+lTuDMeu JkYn4g3E/oB/MVcHoN8Jzn1xUty8h1xXbOa9lnzN1JSfdA6fATuJXZB0DlzA 7gVH43TfkXbYy2PfHe3gleCcEXe0w1/ZlUGRc1E1DEZPA3+T8J7Ve7/Id0c9 9Y98RpqVOCqu9kCA/u1YAfr22N9enN8R+5+iv0UzqAZfE3svevOTvM9K7HFZ /obNef93JMv/hG/U15Tyv0c7qd18Aj41y3dAuzAg17mis82xc1BcVMxVsf8R +iv0J51S7cRrQT9K/H749sn13dZMssHuB5+N3lxvL86Ku2+x88AXRM4dcWxh 5DukXVJMxdaOaFdeaPTYG2Pfbe3cF/rZGvtfpz9Cf0UqeC36c++inw++W5qp Zhtj52T6TlRGzilxSzNuDs4ZcWcYMRtir1G19uB+Pdjx4Jhm2hP7bPDdFofE JdWoWpVjBnj34L7aUe2q/nT97fqz9Hf9BYrtvNc= "]]}]}, {RGBColor[0.7979841525395, 0.584147785237524, 0.3499709774208691], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmWmQVdURx+9jecOTGd7Mu/PefSiLyKLMAKKsoqVRYFxSqTImAiozbDOg xqggjIMMIgxgFAbQsogxgGhwi1qJSVW2QkHMUuWSDzEaNGVS0Xwx7pqkkpRK /j/7PyUf7tx+5/bp06dP97+7z4xaesNl1/dLkuQq/emvd6eeXXp26nmyIUkW 6fmj6FFZkszKJ8nANEluLyXJ/EKSvNuYJC/r9zdqxKP3YfE9rOeRJOYt9twJ xfj9nmU+oafNv3m/r/cayd4q+pjo60RvFv0P0U2aO17PY6I31QdPkkuSicWQ j+zKYPHrW1nvDfUx9x2xvSidLpZuDw1Nkkw6f110h/ZREX2p6HaN/0Y8F4j+ gehFes4W/bTG6sVzvujLxV8sxTjfFw6RPMl+Bt1Ft+pZIn0PJTHO/ll/i/Uf oLlNmnul5s6TrIbaJFlfTZJnbadH9ZS13h7Zc3JZZyD+ceLfV0mSj2XfJRpf K/5jkjdS4/Ml57+iS6JPkbyS+C8UvUTjt9XHuhtsp9ttz576sA/08nzYn3P5 URq6fdgY9t3psx8juW/JluP0fkM8reJZIfnT2Ifm3yWeA2no857m/l70JaKX Do397LCsy2Wb3uN8otffDmhvJclfJPmPae5Yzd2vuQ9pvFHjS7LwlyftJ0+Y RucfpmGfK8T/yzR0ukn2+Z3o2aIXa7xH88+SnbdmocO6+lj70nzQ25OwTY9t wli3x+cNCZp5+BM81VzYdbNtu1JymyR/td79czE2IBd8+OjQ3Jd6v2L7s94m nw/nhG/US/5G0cXB8X2refgND7J5bzT/n/Q8bd/DlzvzEQs75QMHRJ5QCrv1 xRax8a7eLyehxwdJxNpu8X2K35XCjtgTv/tqPuiuJGJ6hXyvS2NDRb8vnc4V fVF9xAVnsSIfNn9d9I2yV0G6fOh1oAflwq+JryNem7EaPbfozL6i8ed0bt/O B42eM6XzjGKsy1kiv4H4k60/kQ6z9D5fz39ED9LcFvGNIjaT0Av/RrcLshjP lWI/n4v/Zr0vqon1wAd8eXpN+P5BPa/aTrvMj5//W/59jfZwn+SMUXxOIoak e//BocNV+n1STeiGLgtFXyv+jfnwN3x7tXj+1Rj2vFdypmZhzylZ+D08j6aB adgX/X9l327WmvP17pasRtltvPzuZNsQXAPfXhLvpHJgFFh1VPM/1vOR99R3 JtfnY/w1+9JH/tal/XytTvbR+5yawBzsgR/20zpvi342jfO5uxQ2hg+ey/S+ Wb9zudB3cSHs2qZvc/TMTQJrwXdibZHHWvAx7b9W+7ksizXPtsxWPbM9H7kn 6TkxFz7NvvO5iKlNjk10HGY+4nCEnuG5iJ/h/jZQz0h/wx+XFcJ/vyW/bdA+ yxp/sRgxn4memw8dFiaBuWAdmPe8eFLxVMTTK3stl91eSyPO8l4nsb7gAH42 0HotkIz1+YiNSbk4T9Y93W9kku+aixEvR/R+rhg+1m9w/EYfcsd485CPxhYj 96DzEfOPK8Y4uPCY+cHmpflYo2+syXLIpfgfvgc2v1AMu+Dn6MD67J3xz7DJ kMDKKyTvPtlhteywvxR2AHc4q458yMRv0AWd4Md+2Bo7r5WMW/T05GMP4O7D 5n/c+qMH5wRmgc2sC1aTe+HBBm/pDK6RfTdkMTbW43ukW6d0e0C6/U08KzgD 8Tyo8R1a8+9pnDn6fC6Zk+WPa8S/XHxv6tvVet+axfrXWQd4XzI/+qxzvsD/ 1g2Js2+wvThT6gN0BbvBkhV14Qenaq1r6gIzwM+VxtBd0u1aje8phb93DQnf Ol38N2m8Q/xzNdai57x82BAecAHZHZbfbnpULmSzxgm5iHtoYn+V12WcMbAX GvyFhpf3TI8jb7llpt4j/tBWEzpv0ry/pPH7xizy+UuOGWyKn9yZjzNfa52x DbXUAec3zo0ch+9MsP9wpq3meXNw7H+i6GWsI5nfkcwdstutev9Z699dDZ/6 axr7Y598210N/n2y7STZc2VdyMCmq0TfkQ+7Ih+sv7ca4/eL/5jWzdVGXsAH 59sPu40jZdsWbD1qzH3lOAx+1d8Wu66e4Hh63rGGnV60rdpcO5Azqd16XN9+ bNlgODUftd8LrnPBd3Ixz2HjBLkO+xGX4B6YR7yXayMXUmsfdU1xyHIPeT6+ +IF1n1kbWDpdz9TawNRpeiYbtzJjHtjXh9k5Y/MI499A+zI+zbnjn+SzQcbm gcZ24oH8eTyOM/8Mr1N1nLHG1Fz4Gn430ljfz3OIeWJ/r85wivEYHc+0jKGu 1xLTYNM81/fo9L7PkLjnfDlnfBj/Zd93Su4yyd9WDVzZlg8diVti4S6Nn6EY eE/ndqbed2o8J/p7qnNP05nN0N43aXxdFrjTnQWG9eZDX/LsQftQt9ZfPyQw C5r9s3fwaXs+9sQY35iLPuwdnaiLqCvA4/XmYS5xTczjs2u09kTp0Kn39Vlg 0w1ZnAe+A56PqY18T91Jzqcu6Odze8c+Rk9Fvv+D+8Iu1xw1zt/Y9OYsYq8r i9qZuZwvcUgckxvXZoF3t2CTLNa+Nota+DbXyFdk4cdX6j1M6w0TvTSLWCaO yatZGj0Xvdf3C1HnULsgY4Nr7MNp5MUHK1Hrnuvcz7ml/k0O7O96D59tNwb2 4Sz+Qo9HP0VfBf8R583T3E/RV9G+NutpSmI91n2gEv3SmiT674qxFV+nhqUu p27aUg2s/W4p+qjVnrPL86hvqTkZp99Bd3p21gK7qGmphenV9hfiXFa7tlhj XAVTG12jsSZ13O1at1V73FoNPIcm97VYrxZj20Hj9xzPa/Ve53oM32c/zBvg 2oL1Z5uX2mZGOfLMK7JhmoQ+E6hJ/P5CnvMe37iHoP4+z/ucY3l9c5BB7UZt dJXnN/jbSdYF/albp7u/Hes6BRzg3LCL1Poiz2PfXvs9Poj/0MdBv219U9uQ Ogpcp2a4pxB1PvPxx3rz48/Q9Hc91eDd7Z6lzWfA+XeZbvU5d9penfYBbNnP 9mRel/n2VGJ+If1yDjLKrlHwNfIZ+8aP6DUeLATWIW+h5dPLgkdg0acNkRvp h36RRn1TSgMb7i8ENvw4DRsW08g35B3y0fRyyJ9WDl/Czz+zrq3Wndp8tnMV +bFkHva2w779zSzwLE0jbyILn6R/TWpj/5wn8UWtS+yf4/4QLKS2YP4njdF7 /joN3AVPwVLulBbVRc8ywT6OHxcc88Q7MYts6mqwp2IduCe4zj3m3kLIJw+P zcKP/tcQuZdvjM/Pgr/qO4x9hcjh9ENLnAPwRfIyeZq6/Vmvy70K9OEk6ubD 5iNG8FvOqezYxiepoRa6FgUbuEdq8Pe3zH9OXfSnYOE/NalF7+fTwI9dPity CjZdbnwH58kjnH+Le0LuM9b4joKn033i5mqcKfdA/IaXeFqWBf9wrbWuGvY5 oxz1D7Y9Zvnz6mIN4mZBXcQOtsaW5KCOQmAc9RDzyj4X8BSa3I99+U69w96Q d6vWvK0a8jdUA1NaHNNgyF2FwBHyAdjaZH/sO4devzkH7qToh+nj8aftrg2e qgS9rxoxh/9g059Uwv/2a3xAGmfDnSu5vNf5/aeVyP/0LvgEvtF3jpwh+oAx A4wD4HSbsZpchO7EM/sYakwktnd6H03GJ2ravcYN8AM++MFV9rDN9Q/59Y78 l70smAGuFB37P08jrvB/7nu6q4F595Six6X3JD5nleOO8Q3fR4KV6DE6Czvv TV1vOad3uw6a4v6xx7XfI5Wo8ekDVrreJ165j2k9rqbkPdw15yaPUfdd7trv iUrIpIdgb9QkE92/078R/13uX5Bxg/jmyM5PSc+bsqgLRmiPq0Q3CxdOSQNL qIvwYernqa6RycPUScRQYxqYBLbRZyATbB5dirr7rHLEB3d/xBM2oF7EDu1Z yOdumzgDi4ktfPwSy6fXxBbU1wuy6B24P75a9GittwLd09g7NqC2Zb/s+8RS 5GXyMzHHXOKO2CV2OFdsiWzsie2Zh/25F0aHxlLcmzb7Dqvv7gMbc6cG9pwq HU5OYz7niR2x58xy1KQLXetzhtPdH9Cvr3bPjj9SRyKTfdAbjLTvUBeyHnfZ +MOwUpxte02cL731KvfX9DvT3E9U3TPg+/dXI0dwN9CWRb7uMVZ8UU8kkVP7 4mNEGmcGti3OIo9Rx2WWBx8xSv4gTre5x5hsP0VP9knN2WS7PVCNc+fOAyyh 1kcWveyN7mfhZQ62Iw9yz0asPV6I/EueH5eGD4Er7BO/xCe5O2f/rDvWeRF8 Iq8ecw05rTb4sRH5iv7zdfv2NPv3IOtN7Z/at4/o/bM0+njurde5X6EveyaN HN2p/V3sGKhNA+Pom6kxN/N/KPam8S1Z6Eh80D8tdw+G7mdZN3qadvcVF7rf xW/RlzxBfMA7y/z0HB3u8ehRltmn2NN076vFNQF54VzXnbONq+ROsPKOUtSb FJr46Ez3zNtLga8DS5GrsRk5qMtYQr+FjtQH5LSOavQh9JH8j4oe/rdp3MO0 +56H3nWKfbTR8YQ/k6+P+R6bWup11wrUMc3ewxznjWbXFkdt6767AH5vzGLv p6aBPWAFGDPDZ43dxtgXyW//B6FGI5A= "]], PolygonBox[CompressedData[" 1:eJwllltsVVUQhle1eCznFOlePd0bLdIW2mIbS0VaoRAFNAU0JlqCBQmFthx6 kVAptNzacpVLKQqC0lJ6AZWoRMUXLw/eMOqDl6ioiZpojL6YiDGixgcIfr/z sJKZ9c/Mmr3WPzM7v6GtZt01zrkBVjprU+Tc/ZnODWY4Ny3p3BfeuTr0Fax9 YEdYrch1Med+ANscOleWcO7Adc69nONcCT5HiHMPNm3Y/oLN42Dd45xrmeBc J3tzYnbGZuTtrIeQRzhvOr5dxCsn3kF8zhHvLfxnY18P/me2cz3YV8fMZ0dk MRV7Rppz+YFzW/Gfhn8v/q/gvxObpdiOjzv3DPp28JaY5VRE7DP4z7yBXNC/ QS8nh5OcdZ5veEffDl5H/HrwN9CL8P+ZWJi5QuQ/yKmEeH3ofZx/EX0S+nL0 A+jn8UnhewH9PcnEayfeWPK9MbAzdFYpOZwG20jMEvLPB9+A/Dr4MuUKfgp8 OnsXOf9O9sqRl7BXTbwyYlzOcu5H7HeDbWWvGewRbJaSTw97ed7O0FkN6O+i Pwye5Ly16LXIy8Frx9mZ57zFUKw88plIvt3cZxb2v3JeF3Ij+FrwLuw/x36I vU7uu4kzf/KWs3J/FvvX0Ds541b892P/Eu9RQMwKYlextwfsN+6vlvu/C3wU +1b2poB1oq9BbmMVo+9CP4v/Ld58Z7F2h5aDcjlNjEoe6VVvXEwDXwTewMpN GKfFbXFMXFPOJ8n9MPmswreC/N8E3xIZ98TZt9EH0DdkGse2hMZ5cb+dvf7I OCfubUQ/gT7I6sg0Tm/DfjQwTHvCPibmgphxVFxVzan25rE3Htt6fLJ57yvc 3yrk28CHwBeCe/B+VhP6YvQLxDqB3oLeSLzeyDgtbsvmb+72KHgj8nzsPwDL Rr8XOcXeU4EtyYvY+wS8mPOOZRjH08GG+b4i5PuIOSRZ9Z5hnL8K/ybgM4x+ N/pHyIP4tKK3kM8TkeWs3MW5ZXxPhF4TszduQZ9FvEr4sIK9KuSF7F3l+x14 nHhfe6sd1axqd0xgtSfOirt7Q+OCYjyGvJIV4H8ZmzrkHawK8DtYU731HPUe 5aBcesCbkQ/xfYXg3aFxuQ99iu6Xb76WeOmsQeQx4h+Yx2ayaimws1QTqo3v vdWeal61H3jrJeppZZz9obe3UM9JIufhvzpmNdKhXJPG5bOsuci5gd2N7lR3 Owmf0Qx7w8+Q+7jjlOqP9Z23nqfep5oN0TO8vV0+9vOJfwY8J241kQu2K7S7 UU2qNkcC47Y4L+6nwB/Et4MYN2N/LLBeoJ78F/y6nr1/43ZHuqt+VjW2l9Bn 41sVmnwT9leyrIepl/3O3gxkF1jvVIx56LeHhs3h/Gb1nsC4JQ6LywlvtS2O iCtPBtZr52JziXyKwSsT9uZ6e3FQXFQPWRfaHemuVDP/YP8t+ppMu0Pd5X7W yky7I93V3shmoWryOfQlodWqeny2txmkWaQzd4bWw9TL1KPVq8cG1gs1UzRb htEfJd561nFiz0xa71cOhyLrcep1mrmHI+uZ6p3yeRo9jn9lzHqWepc4KW4W sveC6je02aCZNRX5eGC9RDWxB/8C1UfMOJyO/afeal81rFpWTspNM34TtsOR 1YJqZAQ58jY7/u9h4GmBcSuN+L3Io5HVkmbuKeSDkfUmzSTNJnFAXFDP34f9 kLda0oxLYTuQY7HEIXFJHBAX1HPUe77E/oGYvZHeqomYkxPG0VB3G9q/imZi vuZRjs2+BDaLQ+sp6i3qaS96m3GadaXstYc2czR7FLMZ+X1v3FIP3sZ5NaHF 0hvoLb7y1otVk6rNid5qRTmuxvZ5b2+jnqreWuDtLM389eClSZs9+ofSv9R/ U2MgvQ== "]]}]}, {RGBColor[0.9004271600896104, 0.6210679002240261, 0.2913241962777923], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmgmQVeWVx++bVLrL6ff6db9Lv3sxiVHTNCgtiyZRQRCyyGJGGxAUkpQ2 LcreYqJCgyAKjWyyNAiKgMgiu8lUZiZ7NICpVM2Y0RjjNjpTY8wsmUmmBuKM mamZ88v/39VU9avv3O+e7/vOd/Zzbl8ys3Pywj9JkuQTH0mS+EsGZEnyXl2S tMR4XfzOBTw6xk+Xk+Sq+P1n4FxVTJIrYv5LhSTZWY2JgJ+IcVY8twZ8V4wb G4TzZwEPj3VXxu9dzqkkye21STK7f5JcGOOmC5JkTE2SDI75NYE7uilJ/iL2 2hpz34pxUeAsCJzHa7Rfq8+9LMZB8ZsY8GeCvt8FfHWMT6fa9zf94ox60Xw2 zr0z8C6vE40dBa1l7sq4y+CAbyxovNzwL2PdQO8/vKjzgN8oCwbnrbLWQM/C OHN+0NkTdLYHPC/g7oD/PtVzT54kl8Yd5wX8cNB5ScBzA54TfNheEV/7xfir VHs9G/Ob4/ko7I1xQJzzizivOcamwJkde78Y4wsx93z8/u9Pk6QU7z6MOxdj /Hrw7kzMfS3GCaWQU9Dz5VizJvYaF3v+b2OSbInn+wO/Lej/eJ3gqwO+MHBm BA2zgoaPBfzlgI/GPrsqev/xGDtz7Xl5yOuXQcfUwFkbc4PieVnsPy/geXHP AcG79QFvjDVfDfz/CLl8Nuj9TPzqCjrzAZ/LHrMDpyvoui2eH4n5W2McV9K9 4AXyRBc7A2dJjfZin0uC/ovjd0PA60L3PhnwtQF/ok53Y//bC8K5I8YjcZ+H Yv3hGNsL4uvMgvgMPL4gvEvr9P5TdYLHBfxyWecB/7ysd+Bz1xy8gNc0CP5U wD8ri45rAl4Vv7nxm8f94jfHz91xv/kxrubc4MPqoG1EoU82k2IcGb8s4OsK 2jvzWYOKui/7g3dRwJMLmrvI8y0xvlaW7n8+5PKHeP5iJh3n3YSYr6+TDp0K Pg+Kd78KeGCMw+L5/YCHx5gbjunk1yH3zqB1buhJU63wRwbd/xTz92ID/YX7 a69tLkjuA7DBRsmuiF1m2vcPMXc44Klxn2MxXpZp7eBMsoFO6McOBphm9AL9 KJpuxtOJ5rkLOjOqVnfj/dBYOyR+bwU8rCzfhF+aUyP4xUTvwcPG3k6l/3fF XWbW693bgfOO17P2RcNnYrwlaO8OuhagA4H/aPwOsXfY4nvxuxqbj7kJDX36 Cwwf7s7Fp9a4bxkfh2yRaezZ5n0/GvdYwlrbGLZ2Q+DPDbgj4OsDnhPwxICv yYTbZfyb6/0c8Ktl8REeDk1F4+mq9Ardzaw7axukS+sbBWNTS0uKAfg9dHF1 zI9Chxu0Fp1fG/iPNurdoNh/U+z/UKZ91vHO+zJOMX6313I28HX2yfhZ/PKb ZcGciy7joyeaP5OLsp0pRT3Dq4UFyQNZHMqEMyyVfjFPvDkS89MCvjKVjWKr 2NvRTO+JS9g3do79v1IWjL2/VBY+9sWe03wue081jC+B1+gvtgbNLY5dr5cV gwbZNic6RjF/o2Ppm75v7/1nOfYRh1jX5vtyd+Lu+uDb3QXF1REl2SX7veE9 2+qlD+gC/vgfQyeHBM6STHd6InRnaSa92JXLJ+Gb5nlEp1dZt3nm3FWM8dsZ Mv5kKr1+NZX/5t09gdM/lc/+mxg3xr4H4uxrmhRn9ge8It79KJWtDmvSfqxd FGu/F88d8f67Md4bOno6aF5UFd3AX6lRHCQPIbaddjxsD7g78EYH3vdjbW28 r6mTLbD3I97/TFnzdySyD2wMG8FWiaGc/T+Nyiumhh9YVxFuoaK1nMeaHzbJ j/ygSXa/xvwZyT1jPJDLpl6yzjxKjoUexjgk7n4w1p6qSl+RK7y/IuYPxPyP q9JL1uLjl5SUuyDTjUHbhkbJ/oGS8hV0CXtdZ5slFgBz/uh4P6oomsYWBI+J cWat6CH3GhE0Hwq5XNsk/3fwAvkjYhOyIz7NrxUOeQR+67d1ihUTDE/0+DvD nMPZ063bGxqks2M8Dz2tqfTor6qau974bbZjbOpE7NUTv22J8sI1tnXyD3KI 12OPLPCrRfnn3yfy2X+XKO8k/3w3cObWyxejr61F3W1VwAPNF3hCTBjmuPAD y7caa48l8vfEGuJMb/x5x3O8+8BnMkfsgIZznvvAdPGMr68v6LmhoGdo/8Br 0T/O597QS15LvDjt9+x3Z8x11MvGTnmO80ZmsgvydPJgzikVZHfYHP52oOd4 12A6OBufTv41LX7XFyQH8rLRHm+1/+f9VOc5L9l/Lg89fLAkXZru9WOcw4B7 i9ePOm+/0cabajz2RmfXWm+JFeREU7x+hPEGmXb4hvzJH//LPDhleZB3kH/U Oa6WC328PmdZzDbv4Bv2jP/AD8An1rH+uOM98kUO8LSXd2ctz2mmnbu1+N7c a4BH7olM8FH4kdutd9c69nEn8rr3bU+IkDqBeuG90L0rnBeRH13r2ocaaIzP Q57j43lS7FlMZSvoDrTjw6i38JPjnAeSD2Kn2C3nESOID1vR2/Ar7Y2iveS9 W3zfQX4mxjf7vkNt/+PjNz3W3dYoW+myvfb43cxE/O3lS4v50uznyTXCX0ou V6eRNWN9Jme3+z17c6eh3ht+/NY5J7QM9b2w43csO3QE+aPnU12LUju+fZ5d koOsdh7SbPq4I77vUuseNjfTeoBMkBm5LHlw1WeT68JHdJBakLoQHRzj+po6 +2yd7ge9xKKPOk6RT3U7H2PdWN+dmHfCPOVuVesJNRu2/VYquZXM26rxoOdK 5734slH2r+gOtRE10g2OHb052kO1ikHUKyuI1wE/HPDygJ8JeGXAK2sVv8gN lsHLgFcUVNtR4xEjlsb83hiXx/zigJ9iDpyAdwXcFfB9AT9JbRfwgwHvI28M eEnAuwNeVlBtTI38ftzxi0WtZ6/xAXf5jJnWBfh5Y1F7QesNRZ3NXtjfeOvh l4q6D3f7fMD3mw76D8SYzjj3C0XRB63keMQcYs/XYm5HjfIczt8T8IMF6Wa7 9RY7Q4/J0YkVx86LE8dsm9Q2rOOOUzLFlX1V5Y7Mwas253rkBthWj9cij9kF 1ZPbbBOcv71RdkjtP7ao+0Bru/eD53d4hOe3e1zs/dgX+RKnkQMynVQvH4F/ 4bxHjEcdu8rP3c4TyRtfNI3oK/nuct9zYlG6gozxN132D3f7TM6b5TNZg62c dS4xoSh9Qs/GFaUf8H1kUXnJ5hrFH/QbmyFWEDOmnHdneEBO3eq+EDrV43iF LPHjt57HF9Ys9D7EqE6P4JFLEsPIJ193vcJdX3Oejmxfde6PPCdbhvBnkkf4 d7NlONu0LjDeLT57wXln89zmdax5xf2hXtkychZ51nrnWjd5b3j8t65puFez a5vxPm+yz19p3F7dutlnUk+87rvN9dwk491kPGqd13xnzr/Je1HDvWkewW94 1tvvuafQl3Pc43vSS+QOra7DXjHd+BVyDc5G5viYm60rd56nO7PO09+7TAP6 12G8BYW+nKJXHtyfXOYi917mWae4wzLzlfXEZGpb+pzU069aBvSI4O/FdX11 I/JocT1IfcU8OPSRfuL6iDoJnUV3yYeHu2eAvx/iEfu+yj0w4g64y43/D6lq gN257H1lSTZ/KFcuRm91RqN6JvgEeofETvwgNWOT8wPqhfkl5STUhOjF3opy a3KsT0cu/GbA0wPekKtn3K9Wca/JI7FmU67eG71DeguzS8o51+WKoU9W5D8f LskvHckFH6jItz9akn/HZ68tyc8P6e3NJOJNh2Ph4pLqImoiar45zpu7SupZ UEfTT+gyDI3QTGx8PJMf2RHjvlw4T+eqtRd7T/qdrbXi295c83ti/Gmqs6j/ iBHdJcWJk/FuTcCHKroDMLHjn1PdeWOcdSxXvfMvqdasLinu0OteVpJebbUv w48dz4VzsCIewaujuWp1dOrpmPtGLl49654rekM+RRzcVlIsHJ6qV/IsPfNM 8W9fjP3JB0rKnx/OBf8scL8bcE/Axyuyr72Ocfz2OC7z2+2YvifTeXszPT/l +L4zU5x+IsanMsWA3TF+P/bfHvufiP1/kyrn2B/z/5oq53gmk16iW+gVvQ36 jTwTt1lLfKevTW47IpP/2OHYfSpXjvJvsd+TmeLHrhi3ZtKznkz07XLuscr9 DPY41y98Q6x9Lda+5P4GfQ5qcvKi52Pv2+rFY2Lu0VSxsS7G7fGuM2jblkt3 mCev3pHL7vdUVFuDQ25I7Dzg/Ao60AVi8QtV5SY/zBVXD/bmYwXFQGQyqkn9 WPqy1M/Qj37h9/Y5H8OfP+Ocin7fH/t+ufwUvohYQA+C/X8c89c3qZdLTxea 9jvf21KRb/pOk2yanBO7pqdOv4D8drJ91jbXVvR2qK8ujL3y4PlXgufP9Nc8 vR/sGLvFZltS9RhXBM70evGXXud97ufQ1zmTqo/bU1FuBQ78p6d12n0t8h/4 Ds/xU/irN9xjwAaRL/a62jZLLxseNseeAyuKTdfFHQdU5F/p5dDXhictFflX vk/15lWM6Bs5IzjkhzUV0c63EfoZ5BnkGANS9XCWZ/rGQ696csB/nep7EN+F VmfKabpjPO7eNfXGY5ny1E0xDk7VQ1mXSZbI9N9jbn2mGLAhU5xgHXUNNoAt HMjEs+nW3eZUvaMHsY9MfPsmvipTf+TrmXvJ7h9enOqbB995iEv4Yvzwd1Ld he9Xl6T6PnFPpv73Gccz7KDNNebhRu3X49qT/JLah7PaDOOfHi/J1vGLxF18 I7GX2ExcphajD4JObM7ki7dkipMdrtF+nqqW31lRDTitVnUgNT42zju+aeHr Bzep30KfCHkc6i+cX6SSRYfPwheS9+MLd1fVZ9xTlV232xbuzVTn8/2TuApM bOW7AvbCdzZ6APSgyFX5JjDHfZ4TZcHQQA1In26s58kD6EOcbNRIvUd9ip4T X1dm4hXfGzfHuZtKypsfi3FjSXQTY9c4zuIbiA/4B/i93TzHD1ETLbaPxFbw Twdz5R778UuZZMF3TnIlcjLyMXI8bGqR/Qf7rXTcIG8nbvwol5/H3xOjehyn 1pUUy3rrRWjET2+IufWlvrqQ90vtC7kf/nBrvN9SUo2BP3vI/vWFXDBxBr/I +xX2u9CAn9uWqVbcnqmPe8i1Lb1eer70begd0KcjVr5rmP7C+JK+uZInUEPz vQOZIl9g5M643jA6TP8WfSZPBkaf8ZGZe5jka+O9J7X5en9DOeL6bqtxZrjf sjBT3kX+hY63FOWbF2SC52fKMTY29PVigaGB9dSW1GzzSrJf+tUzfBbvOfew +zvMzXCN+Zx7Heht1fTDH/oZ8K49kXzQQ+zmyVzf8p6rKiZvtn7uzPXd5WTM P57re+uJqnKHx6y3vX6WOog8YqtlzQ+5owtP5fru8o2q+ipn3Kv/y1w0HK1I tvhD5EtP4LTli0/gGxZxDR9/r3sB9ISYpyfE/fr7jl91/vSxVDEJ39BYEe5a 70MvZ62/i307F53HKuJZh/nGN8EO94v4zXT/7TbzHD9J3s43D3IdaOaZHB4/ etj6gFyONPatO9LY19N7zn09+pAv+HtJrx8p2pced6w5aXzmyYHwgfhCfM8J /0/IA5nymR2W1cvlvpziZdc4f/xOYR27L1Of6eK4+7Gqvr11ZvJzJ+zTxrg+ 4Y7P+9sQ+QIx8Li/4XKHk+5zoR+cfX8mWf+3v+nAh+2+e6tzAnR1v33Xs7n1 v7HP/jbaHunVYFfoPDLgPPppz/lcnrFLcIh5X8jU4+F7LDqH7i3LlAsS8+jL otPo9uKAR2XqZ8zx99sP3Qf8XCb6L0jV8zjn3hH+lDqXmvezmXqcfDdmzVnj YEvYVFem/eg9kX8Q6z80PNH49MeIJ9QYY52/Ea+IiYzEG/qNj2Ty6Zelik3o KHkw/+fC+m7HDfw2PnVzLpki2xGOSfRL/zyX3z5cUQ5EbKD2x9eus5/H9212 LY9/Bx8fvyiTD700aPhWrvh1pCLbI5bjj/k2Rexb7ZgMDnGGb4zoba9NMzbb D7MnNPK/J/jKLveUNji+8N0aHz0wzn0nlU/cEuf/vp/Oog5mHbyDb+jPJvcK +J+gTveV/h/7L3l3 "]], PolygonBox[CompressedData[" 1:eJwlllls1UUUxgc1tym9t4b7771ziwsCbVkKskb2ggqUoi8UIWGLCEaRrbKv skkplq0ti6V231twAREpOyIuicuDGmNQUQGNxhiNwbg9+Ps8D5Ocb74zc2bO nDnndJ9XkL/0NufcZcYdjONx57JTnBscdi4zcO51cH/wEHAWeIJ37h/wfHTH IzekOzfgTueugq/Af89YmuTcWPT7Ij+LTm/kRRHnvgZ3izo3D35RsnNVyO0J 57bBrWDuR/hj2OvD/oNYkwEexvpfhdn/AeQ6+Ag4lVGP3MH6MtZPRr8SPjvm XDl75zF3mvVV3ri6kHMX0M+A3wffFXv/dnHuIPxE+Cr4M/AvgnPB1eCz4G3g RejuA/dmvxrwI/D14IvwdeBHwQ3gS+Cr6MxEfwH293K2Cu7Yo5NzM5j7I825 w+hPQr8G/XPovwTOA9eCz4O/CEy3kTPuYf0uRmbY9ihG/gz+MfgG+GG6K/un dLK5W+w/i/08+glGV3T3s+YJuALOcxC5B3PbsfU4c8vRvRaYvBi+DL5XYHdd yNxW+BuByRvh6+EbsLcE21vBreBacB72M3mPCnAfcCE4H/vNrD/H3KGI+agW 3M4dZ7HfFmy0IbcwNxVuB2v6sjYDPAruJvv19uZj+foge5xlr43M9UoxmxuQ jzCmsb4I3I5ciX4IPolRFbc9tfd0dNrgf06zt88lnorgipgbHbaYVGz+xH3L sVeYik+I7V/AzeCd4CXpFlOKrUmKWfnL21lHgp8CH4fPR38G+rPRH+vtr9xC ZxzycMWjs5gegXyCM5aF7Aw7vb2B3qIb/FG4RvYYzP96Bp33A/tT+ls5jBfQ 7+ftb/yAfn/kMPwUdPtxnzzwp+B1IYuRTxRb7Dcl1XTawU3goez/O3t8AF6p PcMWI8u8nUFn0R/uDt8CTqRYTN6n9ehMCdsbDgLfxUgPWwwqFgcH5nu9USs4 x5sv5IMxyFmKsRR7c739fsYE/WXwaWx14k3movsXOg/BtcYtdrLQWQIeGFis 6Qw6y0TGRmc5Khd5sTfd6fgjnb36oF8Ssj+93ZsP5ctxjGy46rjFzjr2uB39 eGC+z0F/Fdxz3nLTGt7oW7hsb77n2Vxfb2+ut9cZQqy/V+dPMp+ugE8O7C6K UcXqPPQXptobfQQXRv9GZ2wwSpH3seZh1lbAn0L/VQztjJiPyuA6lEPgiph7 Ba4naxZjbxR8IXw9Y7PyCTr92f8w+i7FfFqM7ofMFYQsBhQLteyxPmI1QLWg BbwpYjHajPwe+tecxaRi82LC9t6CjUvI3yne0F/LqAFXJcxXk4m/Ouz9Tc5N S7I3z1RtYG51kt1xr7c76q6FrDnK2pcZO5DHw5fAn1SODlnNaINripqudKSb E7NcsFw1CPkt6aC/FXwZuQX9F9AtZhwDv8N5F4SshqmW1ct/yVbDbioeEnYX 1STVJuV05Xb9Af2FBm93l4370R+NzWXYL2BuDHK73hD9EsabrH2DsTdiNaCc tV2iVjufJAbmYj8jamt1Bp1FNUu1a7/qGWuPRk0+wDgj/0QtNyrHKtdqTpxq VLU3m7KtGlPhreao9uhMJ+GOsL40YjVUtTQtarlAManY3OOtNisn9gssByoX Kscr1zd6861y5AD40oTV+uHwlfDNUYtNxaxitw28J2I+kC9UY1VrNXcCPASf /Yn9GeBt4PMJq62K4QvIWVF7W9Ug1aJjgeU61fwC+I8DW6scNIezHUZnAdw0 dD4PrOdQ76Ga+A14NzoPhi2mFFubvfU6G9jjemA9hnqNMehfDCyGFcuqQZXY K/aWO2aqBsKd5vzz2esK/3dl3GqEakU7d+oIrGardqtH6Kra5O2vKic9j5zv TVc9zlTkTd56Mf0p/a0a1kzCVk/4cvauBueCu4MPJSzHKdfpzrr70JjdXT6V bw8krBdogu8ZWM+h3kMxcApueMx6D+Ws/3NXusWmcsS76Ccxd527zVF/ErU3 1lvfg/0S1o/0VluVY0Z5y6HKpao5qj0r4uYb5TjlulJvf1s5TLlstbe7TGTP VchPs2YNa0vhv8L+bG+9jXKQclFjwnyvHNWUsB5FvYp6VvWuA2P2dvrjMfWz 8Lsj1uMd8lbjVev1Z3txnrMxy/V6wzMx63HU6yhGdqFf4O2uw9Bf6i1GFCvK mXUJ6yHVS+4CHwe3Rk2WTdlWTVNtUw56DbwM/HZn86l8u95bL6U3Xof8W5r5 Wj2FeouOmNWG2aoHyGu9xYJiYA3y3VE7m3wm341ApznZaoJqg3woX2puZMxi QLGgnuzLwHKicqN64gPebMiWzrg8bj2Oeh310Oql/wMci52W "]]}]}, {RGBColor[0.9171507814348918, 0.6628769535872296, 0.3431674224481647], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxdm3m4VcWVxe9VefDe48Gdz0XTnY4mQVFmBBEBAZl8DCLGDGoabNOdRFES UP/o1iiadkQUZXaIIgiogIgoM0SZZxk1YlABAXEiztGk94+13qdf/3G+qlun Tg27du299qq6P7jyuouvPSGVSh05KZU6MdLfNEylfhvP/nQqdWplKnVaPO/E u24VqdQPI18bdc6t1DvKe0d508hfFeU/ivTH8eyP8mb19LtNlPeL9Cfx5KPN Zkkqdag6lToz0vPi2x+4Du2RbxL5LpG2iOfdaKdFPeVvivLBUb955MdH/rxI T4/nQNQ5q57ytR7DD93mGfXULm3yvqnr0F5Lt9+pUt8w5tcyqdSeeG6McVbk oq/6qdTl8fGTUTY1nlyUD6nRb/Izi6lUsSqVOhppbaXqfBntL47fbaN8SVFl 1P/vCqXTnB9aozzttQ55vNE4lXoi2mwfZZdGWwPjmRv1psfv19JKn4rnWOTH 1Fee96QzXI7czqmUjO5ppG8o/1kD1eG7tu7rrrTk3cqyQj5nWJ6bo37jyN8f de6Ob56NflZFfm8h5hzpukjLsX6ro60mkZ4Qz7zI7w2Z1U/UX0Wkfy+lUoej ve1Rfnno1Lr49u147oqx3Rvtro38L6LunGh/TeRXR74m+v1l5NdEe7eGDBvG 7z83UNozytdHvlGl1qhJSfmTE8nslfjmrCi/J9qeHW2ujvwpJc3llETr3ty6 tKpa9c8OHSlUafy0jayXx7Mins5R98x4DsYcXnfZynia11M5Ot8v+mnmNik7 y/XJN3OdO2M8z0S9V+LbfPT1XLXmmov83GrN76sY56H47tWQVTpRnb9EPpWo zmuR/7qkfboj8t9E/r3I78xpHVZ5Lv+M8vejfHeU/yPyRyO/K/Jr4/1tVZLv hFj/z6L84xjPh/F8GvmPIu0Udd6Odw+llb7jfEeXP8v8o80+8fvxGNeKyPeK /GORXx75CyL/SORvCZ1uFflhMe/zo7+u3rNfR9mp9SUzUmwH8mnqMmTI+gx2 nr3HHpyXlyz7uf7H0U5SXzZpT+yxPjGvn0b/v4+nVeRfirLPos733MePYv7D I393jO1ozOP9eCbFXC4Nub8YY32U/VSp8Y6L+o9EOj/Kl0W+IzKIdETU7x1t fhS/50e+r/NTIn9T6PbzUf9h1rkcezjevcRaxfv34pkYdbpXK9+tWg/vnovy HtUa0zzWIeY5IdrYEvN+PcY8KOZyMOZyKN4fjmcCeyfReJpF3Z7+dpLbOeK+ zq9W/a6R7klrrXenpUdtG0nf0K92jaSH68M2rMtIL86O8jcjfTrqV0V6b9T5 Kr6vjXENr5B9q439n42xTSvKpiJj7Oo58e1b8U0H25i9tjNtqpXHznVw+2PT GhO6tyut8n1R/kxa8vurx0IZbT5oPdznPD6kVF8+BN394iTpMm3/1e0PbCJb dmIifaEutm5wE+2V4bFGo2P8S6NO+wrpSzfPBXm0d9vjKqWj6OUAvg2ZHCnK ZpDHboyzf0LP+0f52Pj+xfj2gazyj6b9O/IvpVX2oMuRc4cK7ceXC8qfkNe3 92f1Tbto8/6M7PeAan3b3/u+R4xhZYxhTEZ17o527ovvJkU790S+te08/vqt GF+fyO+LdEG82xrPlrR0enM8m+J5plJ2GRvdNNrrFW0NirLHqpTHTpH2dn5W WrbtZdtObCh693SF7CY28xcN5Uuwywvj9/Z4Xk1LFqTb4llqndhlWW3z+Ja5 Pd7dEmv2x2jnw5DPZQ1l6/Ef2ObX3feieHa4D/R4lceHbq3271cT7dvtke6I 5+bI74x0azz/E/ltiXzrdPvZVpFeEjLoWyn7gp1ZGOn5Ue/zWIOuiWwaefbD kIbydevs7/B/b0V+dlp+D3/3vOW9Ma39T7ohLTvZpUbtzcXnuZ0XvFas07Nu g/nM8Xva7RRyGYGvjfEsjt87LYuOUX5dlK+O8smhb0Pi2RJrPDjkOTPm8ptI pzTWu61R3j9+T4vyX5XkO/GhJ2PjS9KDfy/J7+J/y5F/M+SzrYG+pS558MOs ovLvF7W/jlVrj81OpBNz8G+J1vK5SDvEOK+O/MuJfP6qBvL7vaOPx6PfoZE2 j3eH8fWRvpqRDQMzLLHuMOcLo97UqP8fJdlR/O4qY4dNDYQfwHvkN8azM/Ib Ir0hyt+I/F8yKt+d0f6m/qgq+VF8KO9f9zeXVAlDrGsgO8PYsDXUW+exURd5 j3H7my2fHRnVWeu+dmWUJ2VMayJ/UczhqWj/vyL9qW3Vl7Hvtvr9FWntb/Y5 uBt/id/8uCBZYBc/iKddvLvIOLxt5PtH/quwA+2wKxn97pARBr3Iun6J61yY lTwHV2rvowOD3NaASuHhsVnlz3LZQOebG5diG9vTR6VwPT69vbHTccxufN49 0h7xrI18r0r1id26yG3SZ6v4/oLIz4nyjm4fPN8nKz25uFLYY5DrfGm7x1x4 wOuUtYi5No+nN/LLaJ9fWKmnb+W39rKvv21TT+/echv9PJ7W9dQGYz4z2miW 0fgu8FwYQ3/Xpx3kVetv+a6Xv+3pPO3z3cUur3u3JiXb3dN1PjN2wzZ2sDzB n+jDubb5vWOffBM62SuRHyMPlsI+vh/PUdva9+I5khYuxq/gU8CxnY1lb6kS Lmdf7rBOvW/7fdTfb3Ubh+MZGfv4Xdur4ZE/aHt3TeQP2N792rEmdu+qyL9j e9fe/TKXT+3bd9n+0fYh9Dnen10pPE78QkzY1PEccR06darl8APrCLrSsp7k 2N2ypY12jn3QwbaViinbWieJDZu6DvgTPQbTjnN6vte3m/O8p68u1sk2Hg/t tHA5e2K2v+fbOR4PZe08F8bDWLu5zdMz8sf8Bnt+bPw5uyzstdB4/MPGwob4 2ydqFL91zwvHnRjpx3nFJM8m8p9P1sgvry+r/pzAns+Vhf2fyslOT61Re22q NE7k91G0c0eU3VGSvl9sXWc/DbYe12F95IauLK2QruDfPnc8wO8lFdKfOWXh u+nR78ayxjY38huij8VRZ1eUtauS/u8zD9DO697J68W6E1sTY9fF2lc6vzrs w5p4ljeQXrSybmzK6h3lG7D9zo91+Zkxpgf9LWXXRnvD4uke5S2qle+RVt1V rj8vxnpevFtcUhltXpCWXrf3nmJscADZKB/RSPWoU5tRH3fEmJtUqw42gzY2 eWzsieUV2of4z2k1Wk/q34QNwu/EGOZF+fyc2qecsRGrUM56TIh0Yo10aXlZ v5eVFedNcPknjk02hs6MjHZuzqg94qPZ8fze2AveAaxG3ED+mPHP3Y75sYfo CnpyLNq8L8o2l4UJ8J3g8z80Ups3e7w3ey7Mk5gMPVoZ30yKsa2I9MJq5R+O 8sVlxUPPxHw71cgX0+6CkuKQe2P8b+Tksw8HJulcI0xSFyuS4oPA2I/UCJ8v LCuuejq+e7GsOGxWTntxkPf8FPqP55F493JZv/8cab9q5SlfGr8ng93i2+cj Py7yM3Ia+2SPH9xAXANn9ULUGR9lM3OSJTIlRpgR5XdGOjWnuPUPNYpdl8Qc u7BmMcdFkT+XOCGRb/+JfQ+6iE6OS7QG3et8U5R90ljjHFnSPl8U8llaUjw5 KerXug5xwxexdpOJVY2Xn0NP6ktnsEvEytQ/1ljzAg+gd+jw/LLGyXhp71P3 u6Qs+wWv0NffgnlJ/+Z2Tq6WfqMP2JeetuEvxjiGxjgWgyUTxaqnxBjXRVsL I/9qtL0kyn8VdVZEuip+PxpjXh1p1xr5xLoYjxRMgp/hW3zNrOhnRo30dVt8 MzPyd0Xby9wmba8qiedZG++3llV/S1n+cFGF2psX9a6I+gsS6QZzR05Hq9Qm HF0fYxPs27Sy1vfJsuQ7t0a2clFZfAu8C1wDMfOYaHN9SX3tKMueYjPp/3/r Kx4jFjseC1UoXiMWetbc1LWVqjfLdnKTbdnD9h34EOKernV+Kvq8vUbx5rNl xdzTQifXRb0L8Cvmb5ApvrJQEoYuRjoxqxiEvjIlYYsscUROfdHnnrLm+3yU /Yl9EHUfR/9jnjOI5aPOQq8764/d7+YYH5vOXmIfTSOWI4aL+gvK0mf0+qWy eJllJdkQdAy9I66aY/6QmJL4D9s232vHGuJr8bkPRP6xtMbDGD+PPiZh0xJx v2A8dJ62ZptHJaZnPHz3WdSfGPU3Rf3rKrX+9Nc85nwXfFKifT/aPMxo2wHs Kni1TUY8YP+sfpNf30Tle4vCnOz/fsa04Fuw7MCscP9Rf9svq3eUD8jqmzFZ 8Qj3wX+nlT4Z6YlFYaNDEV80LgpTvRf56qIw6JGC+HWwDji/flEY63CUr42x tSS+KorLGOO24U3PNJbr5RiTWBN8Tn14T3D1WRlxyqPMZRL73fIdnrg2q2+o f1FB8dLc6HNorO2VjcUd3Gy/BafXxDz2JU2Ew8Eu2BXaIebh94CCuMKBBeEa YgCwd9+sxsR4wD7EANii1U00zteK8g/EKthYYiniLvA/GBvOGh4K20xsRizA uM415wiv2c149cfGtcR38IeHzAd2dR6eAMz3QWPxCtjXdyPfOdKBjuWJ6eF2 dtWI37nYcSXxZW9/i3+aWZavxGeyN9gjU/CbZfGiL+RU90PXhz9dUCMs8mZZ +QU5yRc+dWSk30T5zih/Lieu5YUa8azYMPhY+EvOH0439p7mcxNwD3PY31j+ 8mBjzQu/eJrxPec8b+SFlU6L9J8FxcLvRron+hsQc3ynKH0eY34MfHVhRrit r7kFOIZ+5g3gD5DtQffVyWOAv8Gvwo3DRyJH5oW94P0Bj7Ozv4WbebxS/Cn4 8yfmWwbbD1Oftj8vaD5vF7T+HY2pvixILvsLwl3XN5Lv62G8CFYEH410OT55 sbE0dmWh/Q42aZF9AfVvMn670N/SXtuixtou0m5F6Ur3ouzurY1ke8FmtzTS 2OAX+Q3HCF77g8vxU0uM88F94D+4r6axFiPj3TVwqHn51DVlYdGlxnXwZNSH yyK2hZMmviX2OSMjvrGV9wF2Hg7ydJezX053fDTEXBbnVaRTnIefmmzuq411 rdZ7Ge4AbNrOdoiYZWJjjQHcBS870XnSSY3Fw8CfT3R+rX3f5Yl4Y7AFeIIx gRfBiowZDoXfyHVUI+E5+PFbnUem2Kl709oDf2+kGAH8Qx4MBG9cbe4YPf66 keKRoeb3mC/zJD8jLXt/tm3+FSXJi/OTv9teHywo5qj1vviiILvzjnUPXbnD fZFHZ0hrXU6/l2bk0+lzqP37VwXZ9wMFYQzqYIevdB3GubIgHn5K6MbGJhrn X2NsZ4TOjIq6w5pI3hM9XziwL8x9YH+wPcRD2JRljona2/+A5WZ7TyHTZtHm bZz5xBp1TIT/z0kUs2Nrx5trggeDbxoUa3VRVr/xvVXWAWRPHr/cslryJxbc HGM9J+q+FeOfW5a9AI/DrVHO+RxtdnB+VvT909D7pxPhfNomhuqa154F0zEf OBf4PDhLuEs4ydvra3+CPdg/212P/Q+nAzcDRwn/CPf4oduAS7kxxrDXPOaE rDAZ67UhxnFDjOe8vPRwWlp+Hz4H/gU8DOaf4n2Ljk53PdaddtC3LnnZHzD4 +XnZJeJ47BHtwBVhj+vwxac+p/rIex8ZIAs4eOQCBpsJHx3ynFUSpwS3BMcE X7rbMrkhq9/k4VD3mKet41XhTI9aNsiL96+Z7z3icSG79eZk+W6NOWL4Yfha eNtfuq895mrhteC3DnqvDTSO6paXPdxY0vkUZ12cS+yzD+Fc4m37AXh9YqWx 5hDwFegeesKZ0QM+D+JsjHOXB9LaH+DJR73fkT1rTT2wJjgT7uKheFY0UJ72 4WaJyfFha4wn+xsHri/IVq6JdHxW5ytPpbVvZhi7woU8aC7i+vh9GfY7rXX5 nfk+0t87f4Pfw1df31A6xtrBK9zYUHpF/eH/jzdEpiPcJuVrE7V5bsh1+3fW Z4t1lO/QwQnWQ/oa6faR5SDLkz6vd/lI52mfs0uwKfcx7kurDeaObcZG4weR /dleR842wUvH71QU5TsqIh0W7V1rrpPzPOzWlEj/tShecFtOZ5XEbsRO3y/K r/2joHslm302ccT4iPPizlFnBrFNUeNjnOwdYrG2HgN++Gb75YM+BwaH/FtR /u6ESEeV5evx+WBkzkGxqZwf0hYY6daSbM2qGM+oks5x1hbk/+kD/498wHes P34d/34kr/7Bf9gGzp2GWQdGp1U+0nZpjPWCmIP9gm9CHsgW3e7eUONhXuf4 /Hhsnd2rlO075HN1MDD9Ix/GBufHHMFd7EP6AGufZqz4UFn8Mzz0AdtDznU4 lyF9w3nW4Q3bB8659rocvhreGv6ad3+xnfnIceR8j4exIE/s/SD7keNnLFnF ANvcLm3uN2YHZ35gHgU8f9ScLueELXLCUz2KOgPabpvGuGhnq+09v7EH6Gtr 6zPxOLiEmBx/hS9vYa4FHgK+hZhggNcCfgZuCM5nuO9JgOk5G3jINgTdp31w C23iC8EhnIHC5cPpg6vAV8RJcFXcD8FeoNPIcL3tB2PBRvC+petMsF9aaT0b 43053nt8pfcov9mnu8vCwXBUO8vCvsTlLzeQvLA/nAVuyehscbjvfaCXbXIa 79JEdyyIww7mhS/AFvhhcAeYA18K1gC/4nux8fSL78U+cs7N+TaxznzHO8Sr nFm+Eum2jPL4Ee6hLPBdFLi0uebTrs9qfbd+5xvmcTjGdFvUmQXH6HtZ3M+q 5/tX3MMipseev1fnOzI6V59e1h2dp8riOPEf+I7pifJgLvwJtp55cB8FG/2J 8QhxBT4cf45s8ZnE2NiRQQX5fOpjVxn/Ns9xe1nfwnlwH41xwmOAIab4HOBM y5x7LpfbNrDmrazzzydat81eO9rhnB7epHVOZ+4vJeLwN1tW8AKbMvJ9xBxw ePA6+DlkRFzO+e16Y4SRcPVuf43PhNGZqS7H35Fucp219qP4UL6lX/rnTtA8 3wsiPoSbhwdCl+HZ0Fu4N85i4N84R+E85U5ixETyB6vS3hav/33mhxg/HB4c ETze8Zg1K96Ds5onfF6zrqz2OfO5zLLE9sJ9gsX/6DsZ1IWbwrdjW8GTnCc8 6TMFuMM7LLeDnANWaQ7cA2LdiX3gGPpZ3zJV4kzYKxMTxdDw2fgY7tZQf6rx A+sCz0g8CuZh/dmT7EfiXWIP7PWBvOLLJ0Imjybi+eH7H0p0VsWZFbEa7YMh v5+THboDbjaRLz4n2tiXV/kj8X58onj9OB9fIduEnC4uSD/ZT3Cc2HFs+A7b W/QZ3Ao/hp+FU9lpXuW4X8yqPm1eZpmzp8Bj7LXj93qc3+y1RVeR+yLbDnSO GIsY/+FEZxCcRUxOxP1wFkE/Y9wX49phPHRnIvs5vySMPcY8HvaVNtlb8GS1 5rjGJjp34/yNuxLYKcaELNfXrVdGvhRuGg4RnvqtlLj2fT5jh/Ml/iUO5kyp f0OdH/EdHAh1NvksjDUfliimnRHj3J1XjDsp1uXkvNqFy78nkW/h3ONPiTgn zlKwf+ADsEGTnL69JtH8rvAc70+EF+Cn0aMR5jpom3Eybu4Kcg7E2Q97qNb7 iD0+9TuYeaqxLv50sdeJebDXWSNiU2SFDr7sexmUr7BvYr8TT4Lv4fo4LxrY UGcfnP8MaKgzjisSyWpLXnE+/DH7YlxZ8fmDZfG5cMtwiaxzC/tK7kZy7sWZ 1xjvd+zXqUXFwlWR3ljS/r2h9O29LjhKfDM8GDzmiqL2/PJIf1tSXNyoqBid vc2+Ju4h/iHOggfta/5kdUGYift3f050n7x9Xj5+iO8Bc+7EGRPnCMR53PHi 7hhrcnaV1qV1XnsG/h7eFRsH98q9WWw66wJnf8x4i3Onj4yZ4CY/MGa6tiTe dUBJ68b6gYWGldRebUlr+Se/4x4amJqYl3uUh4yh8Z+P2acfqNIdb87Bl7g9 vuFeHr62v3nNo8bu15XE8Q4qaW8/5v44//nE2It9iP4x17p7EmBT7o0eMcaF L9zvWBE5tbOs4MbgvuB0fum7xNwpHuI72NzFrrtjwTpc5fvD3CNmPeDd8GOX e5yM9zLLDfn9wrJCZlf6HjL3kcFR2AtsxUrfaWZd8Kn4A77/te8kczf5ZyXp 2tWR/qfvJ//DcQYxDziaM5bLfX+OO8s7fLeK+6qjbJsou8Tl26t0x4uxvFdU W8Qu3HW9xbryQE661jDSYzmNgbFwbnCrv+UssZ3X9H3fWyPu4X4lHDLz+zSn OSGbpKTxlSLNl9ROjjPNnGSFzD7LSZ7I9W857a2fl3R2cZvHzwP+wG5f41iJ eIRYDNt9/M5nVrj8+DluVrJFxhuNNbBLa3xXgdgejv0R82LoRW/zjRckul/Y M5F+L7O+oxPET+BxcAw8RN1dRVLiR+5LPmx+bZ3L+GaDv5tn+0ZMQ1xQd6+R +AVeD9vxYk64aaPxGHhgqXFC3X0g2iOWIh4jjuE/Kb+2TKbZTjDuV3xHib7A R6vss/b6W+Kpa0qSeZ+S2viN7xuBTcDa9Escs9L2hHXOea0ZJ7oDxgOnb7Of 3mBciW2/2m0ytm3G6bzD195jG0KMMt5cBDgP7uA4b+BYrY6zIabBZhPDjPbv ZW6jbt6kcG3wBm/6jjT3o/eZV+Jc4m3zStxv5nzpkpL0erV1+/qS8qW8fNN0 9wmPAffR2mdHBx2L8v5ej4n+7/FvOLIXbQ+nWo+whfBnC/yOmA+/gA2qu++L /dth/4k9hq8hVib2BB8/Y/1bZTnxe5P1iHrwx0N9lne17UnPkjjNJR7HFrfH ODon8vFdEnGfi12PfXaNeYntHhdj2u02kH37RD61Q6QnJbJRM/3/njaW58+t Y+ja6JzOuuvnFN/D37Ef2uWF9VeX5POP3y9JC4OCRcGqLfN692QiP0Id8CEY ivPpKelv/3vA3PAvnJ+Bg7k30dN5fHgfy5z919McAncz8I2T09/+94D34Ebi NDDtokTxL3EwssOPsY5t84o3uOOQM08FX8UZFr4I/J0p6izu45z8/FDbcNay kzkN9PNc1y+Yj4KXwsdxzgjGZU49nMe/M3dwEfclap3Hb/azDJFFrTmKScaB 4EF0p4P5VbBVP39bMkcHVzfauo+O35eIczo9J44ZXMqZ2gjrPjrP2Qvl9EE8 RDxJTAQXQ3xKnMrZGrgNzDbS+5jv2XMHrDP1rSe/KymOAo+Bt7jXjl73L8hX 4bNG2Ldst5/aYy4KrqlrUTxYF2SZFx4enQj/9PJaM2bOkBjT3SXdNWmZ0z4i BiQe5S4RGPvHOcm7r/WNWIuY64c56VBv81pgrT6uQ0zK3QXi0u8VdW9xS9T/ l6Lub27NqZ+DjhnvdJy70hzmEu/J5nnp+hO+C8E4x/jsB17ig3jfIq+1nBp1 ysa0YFv2Sn/rw0OOK8/yuq6w7dxlvApXD446fg8K/Umkp/AH+33eWizKR400 vk8VdX/zlEgvNR7+rc/GwWXEY2CrX/kO6zs+O8sXhSHPd50DPgtLovwkywqZ NbCskBm2l/N7YmbOhW43577Z48EfYVOwLdh3zg/hpuFC2WOdzffSZ1e3Q3ud Pd+DPu9rUpTPYu/jtxqal4afxq93M+fMvQ3ub9Qr6u4Pd4DQXe5/cA8kXdRZ O2fu3xSEUcAq4J6Ti7qDvCknPwWHS5z5ts+7s0XZiSGW2ymW8+ac9m1Hn4lg Mzr6W+bW1Xzv8kT+vG1Od1C4i1ITbXxdUL/0z5pcZb/P3RTuqFQWhTGv8P8y /g8/5opt "]], PolygonBox[CompressedData[" 1:eJwlmGeYldURx98F9i5baO/e97534VMeExN622WlFxEIZRGikicJSSBRAwRQ FP2SQsCEEtEgIFUNUnaXDlKk913aLihNaRZ6MU/EKDZMfv/8P8xzZ94pZ86c OTNz7veGjx08pkYQBA0zgqAWvzvTQTCnThD0yQ2CPakguJkfBM9mBcELfFsB 760wCNaCrwPeh64ElmcHwWRk/o3sVWBWIgg61AuC0oIguA09H9l5wB5k20CX wZ+EfHkcBGew9wkLP1A/CKqRX8G3IXmWKQPfgA8t8aUVsBH8/SgImiHbFDiA /O60bfeFvxf+HnRGoD8KKGatBnybkBMEbesGwWV0P4q8VjFQhX4EfyL8QvjX 4O1G/3F0LxOPXeD7sf8a9kuwvx/ZT5NB0BzfZxOr6fi+BngT/mLgCLLb0BmG /iX0t4Lfwoe5dRzTXfBLgQngo7GxGPwgsJK9ToE+BN4I+aeg+0EPRf8T6IXI LwD2wV/HeqfATwPfQR/Fp+0Jn8l70AuQL4bOJf4L2V81/J3QG+Cfh18FvQN6 PfRZ6BD6L+y/kv3dxfYxvpXV8ZkWYesh+K0yg+ANZHqBnyNGLYldC6AS+1P5 Vo78bfjTwD9D5+Usf3sHW5uwuQl8M/CB8oX4Ha8ND1iOrRQ6k9A9yPpfIrsx tK8bgQvI74t9lleIZyG8ar69lGUfj4MfQ39XwmtchN6L/a/Ip3nsfwf+nUDn Ri3nTAV0Jfaext4zQEd8PaecRveP0O/G9lG+PoZ/Jdiqgl4K/XP4a5WPoWMn HenqDugu/AH+cfjLoSdBT8XfJchWQL8O/Vd8noCvJ/l2s5ZjeBB//oUPE7Oc Y8q1CmRWJZxTh7WftM++P/HZl/KZ6+xXcj7did+72LuOvcbY26/zgD8MfgPW P4PtNfj0M3xbjc1K9A8CaxLOoXvIDkjat+HEaw3662LvVTKS3RP5bq+A3h35 THQ2f0LmZOycV+7/fw3oTcBQ8I9ZfyP4IeyXgy/A/k7st8Kn0oT3vAz+Wvxf UscxVqwP8208+s8DnZGdybcx8Hpg48N870F7kc5ReMXIf0psuvOtCPw09m4T jyLicbTAd153fy0yAfxl0CH5VgK8h2wpdD74IOAs9NMp3+1W0OPAy+AnwR8B zsPvETn2L+L/o0nXDNWOddjPwP5O6CJke+o+42+Cbz+t7Tuhu9EM+gayHfH/ SfxfFLvWzmd//wTPR/9+7DfhzoXgseoddHPoFHgENIZuBp0En4lOB/Rnov8K eIHuJ/wW8NPgO+Rfjn2Sb28g0wv5eci/Dv4a0BN6LvRC8AbI3Id+Y/Tray2+ dUrY5+bgv4i9N9WohuznpvbL/tfDrwHvfmI0BVsT+TaK+H8fehz0BOiRqu+h 1+qB/Ntp3xHdlTbQ5WnXeNV61chl0KtCx0Y+b9d9C32WOkOd5bt824Ivc/Hp hHoR/DnId0Nmk2pr6L1qj1uhz4U+K525zn5y7NxSj5kCPgN4APwVvv0j9p3T 3SshH1uod0E3hG4kf8H3kwOHazsGJezvZXTawZuB/kvg02U/zzXhBvqNWL8J vPHIP4H8i7H3rpj9HbwQnxYR/+Gq58gvT3kt6Uj3POs9iO4BvsXI94Wuz152 4MOepHugeuEA1myO/mydH/Qs9GeBL4gde8VoPvi82LF6FXqu9o7OGHRHA/uh uwJ34XfBn5HE77ZykPWqWO8WeCf4vROW6Rb7Duou3oFuD74qdm9TTSvMdw1X LdcaB7RebNnO2B+h84KemuWe2Bb5B6H7g99DpnfsmqDaMAeZz8F7xeZ1RX+U +mFsnnKiC/wdsXuxevpO8Lahe/tI6L06q3zjmhk0OxwD5me5p3aH93bsWqae vgX8LeCjDNe4DeBbiUEbzRfANvCq2Lm4Ff2u6FcrxtDboLtBN4W+nus7pbu1 NHSuKWdW4n8HZMbluUepV3WCfi7PNVG1cUvk2rSaGjUD3Sc579Ic17wnwLPh F5M/V6Frg49Qf87xjPU7ycaevVSDW2P7HjnTGvlL8L9NegbQLKCZqX7KPVm9 WTNSEnoO+l2gZ+Pzq/KfNRrkuOeq9xYhfzXDezgIvw789ti/Bj8PPEP1GPqy hk3wYdhclOMe/WvwLuh8keucUm61w961DMfgCPRDwLe5zgnlxq9Snk3UA38J /htgcY577HDwx4Gl0Legfws+BOgD3ZL69hj4I9zBCuwVQf8EPFP1DP+uIF8L vDz03dCeN3A+y0LXWtWI1ZrnQt8t1eC1adc41bp5+HeN+A5ijcJMn9HglGui amM5/OvwS/jWNtM+DgRvir0XsjwDL2d//fjWJtN76g/eCZ/Ksj2T/zD0GlpL 3zpHrimqLZP5dh5eTeBr9jKdb2MLvKbWLke+K/I/AmZne6ZNhJ6JNRs/zLeP 4c1K25Z68Gzw63w7meOZLU65BqkWKYZp8CvwT+R4psyH/xxQCX4VaKZcSnr2 q4f9Rop/yrFXjj4KfiDp2lIXfkHKM6xmWe3homYF1hiY55lYs/GuyLOJ1nhe +RN5b4qhYtkRuhT6KegfQK8GxmR7JjuQ9kyi2UQz6WHWHgM9ra7veAvNesDY bM+cd1jvmZTvnu78s+AfRJ41CoEj6G7Weee65jdD/oLqA7zWwCH4p0Lnor4d LvCZ6GzusF5x6DeB3gZ/1kyU9gyrWVYz/T78O5bvt4F6xET4b8au9Xpj6K2x JG1d7Vl774M/rTN9x36suxG7l+lNpreZ3nR628ln+a6ZRrONYqBYfNOAuSPL NasJun9D5gq2KoDx4PexxnTWGkL8Hk56BtUsqjs2FH4FOmPzXBNUG1L51tVM otnkauTZSzmj3NEbS28tnXFLZE+nXTtVk8+kXeNV65Wzyt0TsWd3vXH01jmZ du1VzT0F/k7s2VxvHr19dAY6i77oX0T/UOy3gGqMas1ZvvXM9pvnTugZTbOa Zsx2sc9YZz0AmQ+RPQ/0znaMPwvdI9UrVaN6Iv/72LO4ZobR4C1Dv5WUU8qt stC1VD16fdp3TndPNeOL0GtoLdWIz6EHJv02Uc9X778QevbSjKpZdVDSZ6Ga 3C/pPWqvqiH/Cd1j1WtVYzvjT02gurZ7eq3YbwC9BTSz99dbLXQv0Qz6ddIz iWYTvTH01qgK3Ts0M96Fn0757mom0myk/wD0X4BmwCvobo/cK5VDyiXVBNUG 3UndzRuRZ23VGNWaS5Fndc08mn02h551lHPKPd0Z3R3N2INVW0L3Gs3A30BP i3339Z9EU9ZvmHLt0Z4r4Cciz9aq+Vng3yU9e6sn/lf3LXQv0Mz9FXSNyLO3 elhN8LqRe4l6XD3wnMizt3pwbuT/KPRfhXJKuaU3s97OyhnlTnXoXqiZ/0vs n4r9ttKbVm9bzWCaxXSH2uP//wCzOZsc "]]}]}, {RGBColor[0.9338744027801732, 0.704686006950433, 0.39501064861853696`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNnHeclNX1xmcH3mV3ZtvMzrwzY0EJ0ZjYxUK1a2wgHRs2sMWaZk/URFDU JLbEWFH0lxiUogK22LBiQUABQVCMXWNXQBT4Pd99zn7MH/dzz965731vOfeU 55x3exx7+tDTsplMZmR9JtNF9Qj90U+lv0ovtbV0y2R+KbpZdatKQW2PFDKZ R1V+pPZLE/fZU3WXxL/Rfn3BNGPdUPDfPUTPq2UyU9T/+/ZMZproEQ2ZzMCS 2loymbtVPlGfPzf6fTnRL9S7/0ExzqMx1p169l21V/Rsu97bTZP/VH165zKZ sv7uo7/napzzNf6ybi78Tr/5TZnMcv39lsauVF0fr/kUE/dZmPXYtG+q/ve0 en6vdvMc+Z1+x5U9/i81h0H6e6p+H6h6z2Imc4LqLyuZzK6iDxD9oeh39K5/ qs93etcpJY/XqrpZazlO44wW3Vf9f6b+Sytum6U+F+vvP6m+UmVNXSZzn+Z1 NXso+ts6/0b7ZWkm87HWP0H1DPW5Ru1r1X6v6Kt4r+iTNOajoidqzPFZ0+NU l2v+7WjN4Tn1v1Pt26q9i9qPUvshJdf/6ub1bJ81vZ3qZ+u9rm1Ez1f/maLX aY0nZz3/X6h+ud7tJ4kuJd5XzuIm7eeNKk9389neEPyztqtpeGatfp9ecNuT msejmscjek9frTXVWEM1zl3qMznO6LFmnz1nvDzOvpM/oOExznZ5tFer5oma 6qFF/z5WZ7ur1nC22l/UWTykMkb0w6ofUzlB9OOqD1T/B9X/8LLHZDzWdoXO YFvN7361P5czP9F+f6PP9eLYm7EN3p+lmvMSlSPjfE5s8Ln0CX7YV+O8p9/f bfYz8NrRDea3DaoePy35Wc6V891Fz/bWnE7XXu0ePHlQ2efGezi7L7XGr+CR ot/5Sr3fu5vaz9EaX9Iab9ffE1QuU6npHC5VfZvK3upzqfq8pT6Tsm6n33v6 +y9qf1/1vupzheh3RN+m87lV5QW9v7/2pKKzO1l78rn6TNS6ntU6+obsQG4s ST2fgua/v/pco3E+1jg3aIxL9PutcZ7cQc5seIN5A7kxU/2OUv9ZqvfQs+eJ fll0RuVgvfsd7UOd6KGi3y+bn3h2tvZwR/U/VP2n6PeBom8W/bXo3UWfK3qu 6MUqF4p+TXUvtR8i+m7Rg7SPr+j9R2rM2zS3IzRmm/4+TeMfLnqExu+nPluq 7U31X6k9uFploMpXKn9ROUClID45VP0PFv2NylUqB6msUrlGZVBi3h8Y/F+O 35F73bVn4xPL5E9UJqjsxZ3TmCtUn63ytcqVKgeqzNMe9FM9u85nMijOpT3m Ak8jG/cP+fiF6j+p7Mc8o0Ymfqn6z9GvFGPD85+rvkLl5yptUf9b/VtU75OY r1pV75uY1z6lLX77TOXy+O09ld8nnuvXkgX9Vb+uOb+v+oLEf69WuTbxvmVV dlPZHPmr+iKVXRmn4L1iz7qp7E4/ZH7Bc2buh2hPFunvPqJHiF4ourfoxar7 qv5S71+k9ktUDuV3lXEqI1U+0u9/iHd/rHJxvOMDlQtVBrAPOosFDR7rHZXz E7/rXZXfJW7/j8q5KruovK1yXuI5XBrniV5e1dXjfV1nPYzO5tzfUjlHZWeV /6pcorKHyvddvQfNenZctB0ierrm/abos4KP0uClMWr/VGsezrx1H8/R3znV v1e9Su1HMYb+Pl9/N6vuo3Km6G6qz1O9Un2OgOdEfyP6cNG/Ff216MNE3y36 ddW/5gy1J5NUn6ryK7V/pT6Hit5JY/1af3dNfQ5vxz5wPu/EvnEu78a+zdYe TES3al1P645dK3pH3bnZFevEXqKfUJ9bRbeoTyHru8o9nVnv/uu0n29VPc63 ut/P6dm/it5Jz07RXJbpPb9RmVXv9vXqf7/ov4nOYLdUTO9c9L1HR69Qn6l6 djl7oHKX6KWsVeVo0Z9oDcNEjxb9X9FDRZ8u+kvRh4g+SfTnokcmvvfcVe7+ T7Uvv9Bv30nmvIb+VzlSZYnK5SrHqByv8pmeHaFnNlP/E/T3avU/RfUXah+l 9vcLHpezR3chB6rwbcE077tIZ7SYean8UfQS+BB+F/2a6jNUpunZN1SfqbK9 3nWG/q5TvbXKqaLX6b0LQ7bVVD4smOZdF2qcRapP4+6ofYjqDVQ+Ej04+i9p ME078vvVgu/Iuq7WAcj/QZKzDchYnWFV57KVSiPzVts2os9QPSrokapT1Vuq JLxD9dYqOdEt8ewA9clHnx+LblO9Xf0PY2wbY+6oeqd6382y6p+pdE18J7mb TapbY/xd1WeH6L+9yjDpiL2l24arHlqy7kaHc26cX3c9+3i92/MhP3eMd83V 3h6bl+4R3z0neqToe0S/JPpo0fNFvyx6rOiFop8VPVz0tIp1Ejy6Z9nz6RVj MifGRz5vF2tkvQv07DOi39bertDz46X73kD3tUkGy1Z+QL8tTG27d9VallY9 B+bylfrdqP5fqL5aa72qxWN9pL+vUvsHFdsl2KDYnwPDB8D+77QjsSFf05hH aswXNeYbVa+L9S2reh/YD/Z6hziXCbEe1sJ+7xBr3DbOsbPv9tG/Mc6uZ9Zy BHnRISvqfQbsf7Fsfm1X/brm/QfNf4nqean7r6hapiCPGKOtbBlXUF0q+y6V Vadl35+K6lrWsgQZclPNftCNkj+VrG155FI165p+3bTn9SpHac2NqhtUjsnb N0jhwRiPcTufo+4cj5p+61psZ2Nj8zfP8/tkjfcvlX461/Uq61RGafw/q+9f Wiw3eceVokuqL2ryb8hUZC3ylHHwoTrsc7UnGq+rymiN80bRa2StdWrLqBya 9/uYM/vQRW1ZlcPztpnxK7CfsYPhB/hi2/BD8EHwc5gT88E/auesVHroHm1a sA/HXPAZsNWQ0/As78KO5HfsHOQ6Mp3966qzOUdnlKj+Xvflt6LXqq6WLQdr qkeWbXcfoDU1iD5P7Y2qMypnia5TPbXFvuQnMZ8psSfUU8N/mal1zsj7nhfr LdeQaavrvA72Nqf9GKM9GqN+H0k2/AQeVvs3deY1eHVlnfmPv58t2+Z+rmxf kb1hX85N3c7v2AbYBdgS6EB0WweftZg/huEfpN7nd8Xbz1a8P33bLSd7hkxj LlvEfKj5m3FZy+bsp97zj2a343sgSzertx2CbPxxve0x2jeIu9kYspjxj0vc H/lciDHZH2RqLfqMTTxOfeIxuoddVB/ylz5JjDkg5vnTmHNOdQ/4Qb+PSbwu +uajfTP1aVb9o3rblg3gBLEu7O7usZbGaEdfNEX/utBTxZAtm8cZM3/OvD1k Czojjbkhh8rRn/dWYg6vFWwTYw+jl9J41/U6q7+32HdCr+JHoFvn54y3fKX3 DxbvNqpvT2wGncXiZvsq99Tcf1jJa6/EHrLGUuxJY+hIdAF72xbrZf2FmD/9 2mM/mwM3Yo252P/dgm6LcbrHWTMO+rYaa8cmx1fBLm9I3I6+bo/58C5wJ/YH zOqdgv2oA8KeWRm2Ejb/N2HbYnt2qbf9iQ3brd52LLZqUm97FZurrt52F3Zr 13rbrtik2XrbpdhNmXrbTqy9Mc6IM2+Is0B3r0tsd2G7rU9sv8EHW8S9yAXv 0bYm8Bpk2Nqq9Tj6/HmwCdHPpD/YmpmQ4TPjnj5V8Z3t3e6/Z4XserFqXY/O Hyi5cVCb7x/82BQ8jLyfEbL6iYrH3Lnd8wBv4vfnK5aT/dvtWzXF/EuxXs4C G/b7xHbs0oJ9HvyTJQX7afhobxXsE+IHLivYX8JXertgH3L/sPe+TWznYX/i 92KD/qdg/3O/sA/XJLYRsSHx/eD31wv29/Bzlhfsg+F/rSjYn8SXzMR95ozY +1zwauc93yzuYGP06RF9aOc+NMe+4RutTewfnZLYd90nzrc5+r9ZsB+Oz4Zd /11i2/6Ngn0zfDB0KXoTrKeicxqmu/qB7ma76MHgR2XbvcVG78nsom3/0UXb 62Bh+GvY1WAH7AM+8s45+/W75EzjLyMD8D/xlX6vehu1LwgbH7sf339BzjRy A7sfHcH7Zmoem7FOvffDnMdlTHxpsFf8/W8lO36lcV8uGhMCMwKv+b/E7fgO a9Tn16LnqU+fnJ9l/v/Ub79ptE9xi/ZjQz17M/oy5370uUdz6MGd1rPTRG8C X4j+R+Ix8UFmqP3H7LfaZ4nenPtXtH39ZM5YSGtgsKeWjAWCGYInbZWzrp9X MI6DjTCkaL/nbNal9lzJONaJgV33CLuCgo0BHtKlZBk8ot1t9EHXFyr26zI6 2y5lj5lVfabqn6l9bsFY7EONxvPu0289uROaw72if8SdEJ1v9DrAc6arfVPV 76j9DLVtlgs/WvRPct7z80VvLXp+wXv805z3ua1iP3BtzGXLnNd4bqP3gn34 pejNc/bLviv5+flFzxdbiDlPLdtHWaH2BSE3OYP5IXNZw7yQoazh5ZCznOWc uBsbqp4bspX1PJ9YpmykOlsxFvOR3vNiYtnK+15IfA83Vv1SyFl44rmQEfiJ z4ZMwX98LOQI2NUrIffh6VdDH8Ar9+k9++eMSzwZ+gMefyr0Cnfu6ZBN3I9n QgZxXx4NGQfWtbP44b688aQnEusncLXZiXUbWNPjIfvA2LgvYKngq+Df0wMP /4fW/Knu8xLt7eqSz2Ou6DsS05zLqpLP/iW1b1DwvWOcReKlSs5rp43fwE65 VxtEH+oNo53zPyv4HF/8zDjf9SXT61Tfrmcnhf08GR8GG1LtmwSPP6wytWjZ sxUxkJLtx4NVH1iynz6kZNwZG3Bb1f/UOJ9pja+LvlP056KXF42TMT6Y2+2J 1whvI7/4jfal2Dg5n/UJcTe5o5wxdxG8ER0DLtct9oG1IpfAkzvjIS/I/jkI LKxs7A05DLYA1sQZfqF3zVGfA8Fx1OewwP+Yw7NqPwB5iE1V9Hlxbkeo7fCc eRusAsyCdb5SMBZNv5f07EDRb6n/0qJ/Zz/ABRkfjGt8znOAfqpoOX0s8r9i PK41Nc+xVnBUZOEWOctD9u+wmOeowClZy8U53ynwtGVF7zl7D9Y4MtrB3OjD b320Vw/ljQuCL6KbwBj/lniNQ+Iej471PlrzGc3RWVyaczu676jAqDaK+310 0NclbqfPZTm3Y0v8PTGOBd1SMR6ySvPsrfk8mHe/YwPrQg7sovYH8n4fsmFM tD+p+bRrX97SfJ6u+Y4vKXve8BD8c73K2Jx1+ptFyxhk2+ya+7xSMq8tif5P 1EwvUPtjNevgl0Q/XvPdmxsxK+Ka2MDob9q5j1fkPDfexR1dGO3Y5djn9+v9 G2n+D4VMwNe8InC3/cqOxRFjJP5EHGpg0XG66Y2O8xDvIe5DTJIYEvYFMcaO 2GKj/Wn4hXvLnYVf/hA6FL1xUehr7nv3gu88WD38BZZSrBir7SLeqy85jje2 ZLzl9pBl6L5NQiei006MGNcm4Y8jL/YoGx9dVzUWNaXRmGl7xXhxvcYvV4wp N4kuVYwpN6bWSxeGDATbAbMCx2mpOd6WKTkGsndizGwn6eN79PvLVevAP4a9 gc4f32g7ZeOC9509GRPrYn2sZ6OQmezFxtHn3LLv4/FFt3WPM2NeEwLTZF8v D5x0UsgknsXOQRY/GGNvHM+y95cF3vo71Zc22j5anDMPw7Po+QtCHoI3XNJo OwidfHGj5WVr2XZei+puZev1+rLncW7YOeDQ9MEOzJdtK+QCtxjXaD2Dnfi7 6IMdwfuwJZaEbTE/5BlyDZmA/U3MBV8B+/uPif2+XeV/3K27OVN9+4u+K299 21f0ZHDLnNfx61gL6/5NrJ25/DLmQ8zhtsT6enc9O0XP3p9zjOLWxDqdPTgj 9oGz/VWc797qP039H4695F6zn9jXiwJfxnfYPfTFblFvHv44fgH+AT4qfim+ J/7KXxM/2y/8UtrBD1oCQ8BPzwfdP/vDGPjZzeFrg1u0Bk0s6L7EPjuxrxmJ 7XriXTMTx386YmiJ7yU+xoTgc/wr4m7oQOIntyS2wfB/iKmhK/CNiT9iwxAT uCGx7YQvQJwRewbM/qbEdhpxhhsT22b4GMTakFf4Y8QEsWHwsYlXYiPhtxNn xHZCn05PrEfQa/cm1kd76iym6iwezFnv3JNYN2HXTk2sH9E10xLrRWJosxLj Vfj5xEyxo3rGnmMv4UMSi8TWIh41MbEtSizi5sT251ZxLuAZ4DCFwHB4Hoym Z9zRSSHLuJuT4s5Ob7VMxM6Y1uo7/HTINJ5ZGPYVcoK7PEprHNtqGwh/kHNq Vnk4MWaED3hcq+0i3n1g7Bn+1JLAlpdXLHN4PzITP3fX2IfOmOjs8O/6Bs9U KvYTlpWcv/N4rBP85Luu9nkHxBjgfmBK/eLZ/sFf+Hd7BU+BmePL94/34eMP iH5PhI2HrYf+RI+iO/GL94nnH0rs97LeEXF3wHMonANYEDYvti9YNL75FoGN /Dx4mf39UdwX2sEQdgs5U4q14d9vGveUM+0R9472XaMv2AV2emdcer/gX84O /6Azvo3cQg7kE+OObYE9bhc0+OTWcWdzsVbuIvpx3xj79uBJ+BFsGXt//3gf 8ZYdYhwwin3jeXyFA5If4vDwOLH442JOzAdbCZsJ2wm5g/zBJgFn4p6OjDnz DNjab0MWzg3sinsNfvVgnAtjgntxR8C+wK6QCeBXYC3YechJMA/OF7sFvAf7 DNsMbAw5Az4GzsHchsZdJ0bLfUeGwUPwD/cbfcEdPyvkOn7HeSH70SnIDGxQ 5AayAVsc+YAM4A7Auw8kltfIaOQlfAwPIyPhUfgT+YH9jQy5P/gmG3vJ/qCb wAWRFWCDYIHoF/BAdBW2PTFf5BQ+AvFN9A2+APFc7s3v417kwy//NOLzF8Yd g//HxdnBUxcHzX26IO4Rd2N8nNdx0R8aXYWPQIx+cNjfrIW7jp5gvawf7Bs9 hR4ZG+tCv4DnduBa9daP4Jk9ox08/N+JZRNyCVuJe8udxf9AXnN254T+xGYY GfKas3gkeBe+xWdC1nNezZJpTSr3hu2ADsd+aFVbi8qMnO3Z88Om5XzIe9gl +II8BmyJ2ep3Z845CuA3k3POZXlc9R05x9QfRe/nnE8A74MjoKfw+eAP9uYx /T4p5/j9E6r/kXOs+pGc7R/sIGy0c8NO436AU6D7sGXgG3gGeUgeBnuF38O9 2DDO88E4U+y+M8P2w447O2w5eAqsAbuFuwI+0jPuE7gGMpP7B1aCnoIfwVPQ X5wbmAW2Db4O9w6/Bv3PGbD/6HwwDmQXuh2cAv2OTga/QC+jt8FE0N3kjbAW ZDs6HywDvY9uuiTWWNBZtanM0jsrqlOVf4suqy6pPIQdpbpI/DfnWMv4eBaZ BBaDXEJXg30gy5j7CzH/8fG+5njnv4PGpgAfKUY7fbgfyKqHYp+5Hw9FO7IK DAgbBtkDfoRsxN4Bl0EWc1Zz4rywEcBlkLHYKWA96F2w0q9D9zWVzbvNZcc5 iVlvnXVMkthk16zv7fs59wdfh0afPp+3347PvlXgIWfKZxlUs+/9VMlx0GyM 80LefjIyk3t3STw7J+/++OOHR/+Ns76D46L9StkIO6jtQBWSei8NfIPc1B1V dso6f4W45jMVxw6JF3dT+8Hx+85Z56wQE51TsWzADkU+rGl3rP7nqmup3/t0 yXx4efjm5EKcHvqcODPzIVd0eMzp1Kxj+r1iTpukfnZJyTlD2GoNqePy6ENi 8de1ON5L3PeUwGnIUZyVd74rdsypsVZ+g5f3DP5hb4k1d886Rg6d4Jelznt7 pur4KeOAQ+ETj42829GBsZ8TORTdIs4+Jxd4dBf7mfi6zLM58qBaUudI4Yfk U+voCXGmG6Y+0+e03o1Tty8W/WLeeAd7CO98ELz0Ut4YAXr2iLz5jfNnjyfE GWNHnR77S54TsdsnK5b9Hb5L1rFBfI4Bcc4HB1+Qa0G8nzyArpFnlaTmg8HR ry5yeLKqd9HfQ+K3XnGW5Gb0Vhkav8GHnTnC1zaZH3eI8x4Uz6yRnPhO5c06 YzDkgYG1ItOR7SerHkEeQ6tj+CNStw8nx6zNPiJ5U8TEvlWfIXnr5Gmhl1e3 uv2NOuvnqaGjiYPx3mF556iS50yuCe9aE/MZFjTxdnT+lND7x8R92TRrfOXI yIfuo7+HxfrJKyDXgbgC+e/4I/iC5LSS20o+85TOPvB/1s+zf92jZo83iP1i jzeKe8m58e6+8czG0ZffyuGP4lNuGH15nrxaeAm8g7PoFedVC1t1VJwZd+sX ca7U5Nj0C94aHms7JfrdonFODN64Rmu5ockY072NzkkmNxmZfFzI52Fx73m+ Gv4W8gHbn/H7x5qGxz6ij9HLJyWe+4dxF8j3SSJvZE3Z+XA/SY09gUH1Sh1T IbaybWrMCOxol9T+DzbZ22XjR+BIu6XGj8CR+hFXbXeOOjnstzU7B3h5ndf1 ZrPX1hq5j3upfrrsuNszZesEdAP5J+BN4E5D1L6+6tj6A+SJ604eqzEfqDiP g1wZcjnIRQY3KaTORQYfLqfWG8QPwHzRCWCa4JlrI29vS/WZWjGPv1A1Hgou 2jO1LAEbBRdFfoDbgjP+p+q8ZfKXu9W8rvraD/n9+5eN0X3SbJxuS/1WT1yy 5vgY9PnxnQAxqlFlf/9A209rlp/vRY46uWCTI3fobrVNUemSdZ7Xlf8jF6CR FU+WHeN7quycI56tyxoL5NsH8EDG4jfuB+8gH54coBlaz5Ea576K+0ITR5/a 6PwGchvqas6xf7Do+7s08u0ptCMHHi87pvmE6ukVy4OXqs55+lfMJ1/zex/W OKWa96q9Zh+dMyW3e1nFNbneS6rWOfcV/d3G8U2OtX9TtMxaUfb3B3y3QBzy 0Yr7PKK6X7tj/eTagI2Ckd6j59a2+7sYvqf5umgZ94bG+bJoebpU9OjUcvKp mtcPH5KLhtx7pNmy74Oq6fdV92l3zgB5BOTmfBQ6sZTaHl9dtP4j3wy5Rd2R f5a1DqY/eMIx0Yd2MA+wD3z5lUX7L/8p+xsYvhl5V+/apd35BuQdrKrznWgL nYZ8QFZ8VbQsXlZ2Tie5nbPUNqDdOQnkJkxrdp4/dtS8ivecvSfPaVyT79zy qu2dmUXzI/n88ORdzf7eISt6QcVzf73q8+Rcwc35hob7Sz7EXu3O8SPX79WK x2RsnuHZGcWwNcLeeFt9Ltez++i5y5pMb5W1Tp/a7DkvrppeVPV3FeOjD23T os+4aIe3yOGa0OT1MSY0dim/j4tn+fbismj/edhv5G9OiHb67NfunC5yu+Bz cvzQIQenlsODUueHzw7/i3vNPST/hO9jDsn7XuArgRWCJ5B7hk7mPAerPlhl WZ2//wA7AzdDb6BDTvwf3YMuQu+ij9H75L9Acw/RO4NDN71btE9GLgB2LLlw PUJvsgbmj2+FPQMWQfwZXYCfBcYM1nxn4nw55sZ8+YZjcMzz7aJ9R+Lq+JLg nmAprHVUrBd9QG4q9gzxamTypmGTsHZ0x6pWjwmN34d9CJ6A3kRPYg/t1WY8 Gv8eHBQ89O7EunZI6N492twO9nBa6MoRoVOHht4cFTKcb7bAwsHE74rzGhSy i9g7uhK/crc29wHD2Cby1PlOBd8Tew/859QYm/fx/j1ibthWrBPdg54cGmvE thoe50X+JnzCmdA2LPqvChtrdeSXMj/mRn4p+5sNucGZcs/BFMcG3ZF/FLz3 YdHnSX4EMX/sAfw+zrZPnO9bRbeRJ0LMgdjD5MRjk0PJmOQpYAPgX7Mfu8W+ kVPckWep+oiSY2Z8q7e21XyJLG4ITJEcIb5jAwsGBx4eNg02FN9l8X0W3ywe VDI+y7ePHxf9TnJV8PHxfcCd+rU5LkJMZHjJ+Xjk5R0VOpdv9chZwIYBB8Cm agjbHpsrFzb/J0X/Ts4O6x4Qay8GJgq+TRu/gW/VwjbD1wNnwH8BI2pLjcGs KhrnZo3EznOBv24Wd3fnsEfXhR21quLvPNFTn1bMy/zeO3iqT+zR0Gjjb2JB rP1fiXMxsLXASXoX/b3GIo3zWdFt5PXQt1/058z7hm/wftE8Tr4Mec3rAtcn x+qikOfkr4HldORwtjl/GjlOPO2CnL9FwVbiGxD0JjnF5Blj490ecgxsH/9p u/gNewNdS170sZGTjT6cELIWWX1l4AelkOfIcnQTMgBZMCVxbGrvoIkLHB+x AXyRxwK/wvacE37ooSG3uTvP1Xyerxbdtj7akUPII+Tda3ljbyck9o0eDwzt mZr57pWiZRh+FPd1QPAIftC+qXG2fVJjbdDHJ8bBiE2CDzO/STH+rqllXka8 sHNqHl9XtO0HRoCc6BV1h/zO+XsqsI39U4+zn+q+qflxPTZV3ljUifj6qfM3 69ptR1ZiXPId+EYLHGVYrAX50y/uFv7m4ryxSeaPbYKeA1/FZoKPFhT9vQp6 bX3Z+Vbgj/ip+KbIghXxDe73QaMjwSp/kTivje8/ieO8WLP8XlS0/OBZdBvx anBW4gVDUz87JLUsXB/59q/njbEx5vM1y+yFRfvN4J6vhzy/P/xc/GDwTXyp Dv3Wah23LG/cDv+a74/APcE859asfxZrzKV5Y3j4X3uEzsGnZgz4Z3no9pVB 7xW6i30bHzoJvfFN2XGglWV/a0R88dvyD+fN+R8beSzEzzm37eMuwYt3xPmC h4Cp4cPyfQDfCWCzHZY3De8jO7BJ8Y8PSv3sgan9YnxwZB3fF+OT44uTd4af iA2Bfw2mgj9NXizvArvDhmBsfkeGcA+RI9iJh4We4v3QzIc7Sp/GmNuh0Qdd g/7CBmbsgbEWZCHvxO//Z7PbeT824eExJvbpEUF3YgSsk3xQYgDvlS1DWTf2 z+ap7ZQ1Rfv/3KdOPICatfwstY32nfpsk1rPf4+8TB3n+RbbSvSf4CvpnB1S 21Bri5bxG8W8+d4Mu+j7svN5+PYMrIsz51kwK3Jy+A4NjJA1ZeLssP2xRZGl 6DfyTcGcwRuT0ClpYBroVnw0/DN4A8wFPjkgzocxmRP+DHYscpjcWeIQH5aN 85H7TnxkbOCZyPyzU8vPk9sdu5kXfcAb4WEwxgPK9v8PLPt7DHL0O/LzAwvs HnoQGwDfh7vLXeWeNoV+JM5YH3pgk9A12BScGbITGXR84F7cT+5mQ+jofPAP vMP5Yo9zP08K+YocR8ZWI85LvBccHvsPG4Y4CzoV/fjn+F6nELqqHLoL/YYv 0xq6qRw6Dj2G3sMX4z4hc7mPxAKwpSaHTEe27x54MDh17+A/+HCL4CNwzOHB W/DYj1PzH3y4VWpZTnyB8Rm70PpDG3SH3dLqtbEu5BN/nxS6BJ3SO7VuQEf0 T82v8O2O4e+gb9G7+LH4s2lq/YtORjdzB7gL26W2dbB5ioHXguODw18UfiQ6 G9wa3BbMFhwX7B6Ml5gIdjx2Mr4ueoX8PuIm6HV0+sdl67n/lh2zQDayL59F vuDnqr+Ie/Wl6jnyCW8Fo1D9dNVxBPIr0em0Lw+cArt7etFtt0U7sgW5gi// Vdl38mvV12ktf20yHnht0GAyk5vtDyO7FlaN3byq+hO+aQXbbbffhv82KOob AwM8qN0+Ed//Md7fYkxswOviXWBV6OFpRX9XBD6Ajb932fbTPmXH8Llr4Ar5 inP8cqqbK84/bKoYz4ImfrS0ZJxrU74xbHdsoL5i7Iz8W2KUXSumu1Qcl8QP xEcAUwBbIH8TDAUshRxPcBnwGXJCwVPAVcgZ5Pus+2Nu/I8BcAGwpvlVv5f3 8/us6NNYcS5iQ8V4HGshJgWWRztxKNY6M/pzX1sjNkqMFJr72/k39525N0dc FbsD+wN/+cqYC9+RTIrv3MjRZY73xXcla8LuwP+6Of4nA7lnd7TYrqX/6sDI sf2wc+mDrUt9W/Sn7x2RA7MyMPiV4U/jV+NH8x3S9RG/mVc1L86tOj/u9hiz MwcX2wHfAj/q1mi7MXJzyaNnLGQybTdEn+6RL9e51knxPR0424z4boXnrotn vwm8CNwIOcd+0If/53FNPHNti/1z+Jn62vDV4XP+hufRXVcF3kt9ddj0/I+Q q2Ov+b8b6Iwu7Y4vgY9xvsjTleEHo2eY28lR/z32ChnN753f/K2u++FbRmrO F4wOOwX9guxmz1fGt338ztrYq5tiD7mP18Yd3DDywG+Obyxuif18ueT8N3JX Z0fe6v+VHY8jttf5zRfxNeJzL5acs0reK3YlcWH016sl59SRM0t8GJmIPOR3 5GCnj1OJOPLzJecJky+Mncsz6FD0WHvElLE5RofOBecjHgAmhqwtRwyattHR Tt4Bd4Q7zj3hb/QsmFxHLCHreNoR0X9+yXm85PNmI87AO4n9HRX9MxF/w95A dvFtJPbeWaljxo+VLc/Wxbe0+F+HBh6FHbsq8qzAkrHrsc8mtnj/H4z7dXPc i7Xx3SXjY1euDRpMAmwC7KLj/+K02LftjHFiY6woOa+RfGd8UHzRbmE7HhO2 B20dWG3Yj9gk2BiMPSb6g+8eHX2Y48TIcwOzvyrifK0VYy/EZF4rOfbQPXVs m5h1FZs0tb8xKrXf833IoFeq1jcLVC+KHPGN+E499ZkfF37Q5NBHfEuDLOB/ w4Ax3NZkPJBYKHgxcdjB7Y4JLE4dHz0tfsOWxRYZp/YTU/PdSaonaoxbI6a1 smJ6kMY4OrXMPSa1jDo1xgL7Wh3yDn9oZfjU6MAbYhywyolBD46/0ZnEs+AD 7P+bQ2/SB9sf2Uj7NbG36M1nSo4DbUAcOTUfH5V63RNj7ceG/TQm1nJLtOOD 3B0xl+NT348TUmN0a0K+I0OwDeDJXmEH4Jf9P9pTqV0= "]], PolygonBox[CompressedData[" 1:eJwlmHeUVUUSxu8MTOBNAO579943gIhZQcwSFCOYQJAcRMVVRMyoK4KyihmB Xde4Z4/uAfa4q0vOyYCgjGQY0gwDEiSDIEmMyP4+vz/q3Kqu6urqvtXVVXXa PY91fjQ3CILHc4KgJt/dSRC8URwEi/KDYG0cBMuAu4qC4FnGrksHwftlQXCy NAi6FAbB/EwQ9IQ/PhUEtwBHwiBYDN0T+UHIX418L+gJ8NoCR+Evhb4D/jPw r4XfFXosvC+BAeBLgNvhD4Z/Dfyp2DMVW+6Cng5+HusPYe18bGgCfhvQDPxV 5pdjz2rWmAI+Fh2/oKs18Bx0n7wguB58Cjq6w9vCfieD/xwFwf3wT4W/jbkJ OnYWsH/G+rN+KfznagXBZ9APMr8m6y3FnruxIQ98Ejq6om8z+iaC92POtnzr qJcNgk7Mn8X8lznkm9C/D/1N0TWEsSJ4/Rh7qEYQXMjYSPRXMfZEnvdwJ3Qn 1mjB/oZDVzG3M3RL6JHQ1dCNy3wWK9D3IHNvACaCj2H97vA7wm8Ofxjy66HL 0dkZe3txnpfp/OG3gd+IOWXY3wX+piL/k27gC4GO0D2RvxT5EPn+7P1ASRBk wBsyZzn8vyJ/GrJtgEro0dA3gjeIvfZSxhogW459V0B3Zs8L2PsaYBr0OPi/ Insh8Bh0T87gAvD2QDW8/zJ2G/hNOiPof8vnwLewpxDbN2BTBXhbxjbA/xD+ reA7GTsX/ElkfgE/yPq9oe8AvgffztjZ4I/D/wl8L3A+9DPQBfArsPlu9OXx /1aBb4ZfF9461lsGnmWNl5FfjEw9+PVi++IS6PrQ3yBTB/luyN8KvgidrVL+ 51+x9xtin9XnGgPPBQaAn87+d4c+M53d64ydAm8ddF/oAuxZm/if69/P43/s x9+6Qc+FfoD1+rDeSv5RhzpBMBuf/IH/14WxXoXeg/Zyc+yznAc8DP4U8h/g Dwvxn3vh5zH2JLwzsGcv9uSz5kzWnyUbwDvE/jfzgUfBF7B+C/CWutPgk9HX r3YQ1MLejujbzlgRax8k2FSF9jn5nsay4KcAy9A9Qncy9hnqLF+Dri9fBDZC fywfAm8X+19/ATyi+xKbtwB4DHwN8+9BPp/1V4N3ZP2ZrHUfZ3BHxv9M/+4V 5MsUyxL7+ibuc1Ps+x2Zgci/DpzK3PrAK+BPAwH4OYo5KZ9pV/BdjHWUb7G/ aubXhX4e2bMY+xb+4Ni+Lx94BvxQZF+sz/mOA1/OnAGKF0A96O/5ZxXwVwFD kb8GeFb+i/zV4MeR6QvdEHoLc69kbBB0b+grwFeE9m3ZLNvr8j/W5PsO6y6v Z7+j+dfzGWvNWo9g41roifjAEPjfMf/MPOvMIFsXnbeBN2OsDvhedHaBPsR+ NyG7KON/tR54EX6k/YI3Rz4TO6YqtspH5CuVGft2FfAS/BaK/8gOlA+Bf8ma 72DPDOxrztyHgMUpx5CFzD8G3KO7wZwJip3Y/A6238//vhZ7NmTsSxuAl9F3 BJk+4A2QHw8+APk3kG+MfEvkT2dsJGf1kvwRfB3zK1OOGYod2pP2djtwAPqr yL5+ABgBbzH2voe9s7D3SmxtDX8Cunpz3heEtkG2yOajkfesvcumw9DlzH+X +TOZ35L5RfAHwzsLew8wP43M0FqOWYpdhbHPSv9oP/wPmFOb+SXAZuhc6L8h /znrf4n84+z3LfZbjv5f4J2GvhHwXwRi8N+AB9HXCH3bmf808mOQX4q++5n/ HfwespX//T/wBsCrzB0M1Izss/Ldp4DfkD8H+x5Avjv6zlZ8gz8I3nCgEfiq 0LH5NeAU6Itix37FwIvl66w/rtQ++TD6DiP/fMp3qg7ylyLzhO4fcy4Bvzb2 3RjC2HW6/8ypZu9p5LeC50eO7dqz9t4EmYeR7cGcxoonjE2FN5H1eiF/EvoR vW3wd7L2K7HfOt25H3R3oSeDtweOw/8z9v6z1HesBvN7w5+kt0jy8G+Hngje DjgGnYqcC8jn5HsrE+dak4jnP6V9JjqbZ4FC8IHoH4X+OfhrO+a3in3X5SNX gR8M7SuKERG6VkI/Ucv/SP+qQjaCDwMaQs8Dmul+KoaC7wn99uhMQ+YPVEzP sczT4PtCvwVPQafhXxb77PVGXA7eFx0Hcp2j3QfePLas7nQz8NLY/+Zs6O/R NYj9fKjzYk4H6J/Z8yjOfihn8C3v2aHQssrhYtbbz5lekHJOVjtyjFKs0pqd Q8doxWrdkTDyHrXXvwDF4AszjvXrgBdi+6B88QUgA75DPpvymf0MPkcxhH9R DeSy1lroGfDH82b8FjvHVK45lbG7FBszzo0LtR/wMvZQUeycMAGfGZqnN3wz 9LTQuYVy7CroyaFzU+WUy6CnQG/Ncc56Avp6zueLfN9x3fVJoXNP5XRLxI8c azTnOvAZoXMFvYGb4E8P/RYqp6mGHqYYju17gNfAb1F8ZH5bZG7WXY+cS4yC 7q77xvy3FQvY0zz+x4XQR1lrP/OHxz4Tnc1MxTjwraHfpn7Qpch/zZqjOMsp 7OFy7P8m9NvRDX4u/BWJa4MJyPyoXDry3foEWMH5V8gfmVsJ/yS6LmL+3wsc YxVrT+q+sf6nyt/BW8E/H9tHoHM7ui+GfhP5PtAzoD8B7gWfhs5Zytci381Z yuFYb0Pk2kY5ajn0ItYcXeKcWLnxGbH31o09ng5+CfrfKrDOuejbEvnuzwGW MX971rH3I2R2gIex31LlDGmdV9Zvse7ANvAt6GiC/a+ibyt4HjCDtVsg0xn/ 2hg619AbmwPvIDChwDXKrZzf3sT/8k3m7wNvlXYuqDdqKXQc+23WG57EzumU 22kNrXVm7L2pRjpL+XRi279Gx83oOj927FSMbCr/Z2yMzhaZk+AdgNHQo4Af mNsae/vneuw49AnVh6w1WzEV/DPVUMU+Q53lp9DT8z32Ofi2jGO53mS9zaoZ VDtMh74bvCTyXVeMUKyYrfyv2P9c/74t9rwH/S7wneIJ8DZ4O2y6Bv6PiW1f yZodkZ2WuPaUj8nXJiSuncbgA4fhVyfOHV5kbCP4kcS5x/vQRxP7lHxLNsxJ vIbWkg0HoNuh4x/F/mcnwB+I7buqwVSL1Yoc+1Uzqnb8Xe8HvLnQ/cDPjf22 6s0+T76Udq6kO7oA/S3SziWUQy2EviLt3EQ5xiLob0PXvnqjayeuUVWr6g3T W9Y29N1XTaDaYHni2nwc+z+OrhvSvlvDFa/h9YkdC1UDqhZUTqTcSDnbIOU+ oXN/5ZCBzir2XpTTK7fPiZxbN1FMYr9/iv1vVfOp9lPOpdwrBsaC3xfbd1Qj qlbMi5yLqIZTLXdv7FikmlC14ftp50bKiZQbncg4V2mMzG7l78B5Kb+Rv2ac kys3n838WtjbQ/6Wco2uWr0q8VulmKTYpDdbb/dEoDLrnoF6B5rTPXZOodxC Oapy1fVZy6onot6IYp5i33hgHbx9kWOjaswOyM9MHLvUE1FvRDWjakf1YNSL UQ2nWk49F/Ve9I/0r8YCa9C3LnRs053T3VPNqNpRb1QW/JvEvqyYswl8bda2 qCej3szs0LG3CgiwZzf8z0rcM9qFfDEwt8g9CvUqlJMrN9dYCbxdyH9c4Dl7 wBvG7m2o5lPttzprW9VDUi9JPSH1htSj6IK+xaq3Cl1Tq7ZWTaXaSjXTj+Cr VJOnnPOtzfjN1ts9Gf5NkXta6m3pTc+Bly5zL0M1s2rnFcxZX+iegnoL5VnX XsqBFmbtI/IV1YQnM/ZR+apy2hqRa07VnsoJlRvOj5xb6Y3VW6uekXpHW1iz APzrjH1Ze1qScQ2rWlY5onJF1dSqrZVDKpfUmevs1eNpg+6lzElStnkleDH8 XSWucVXrVsaOZTsZK4L3SWhcMpLNL7MtynnbIl+Y2NfVM1LvqDL026s3VW+r zlBnqRyhB+ut4Ew+KnEOcARfW5n1266xVeDLEvcCc/CnY/DbZ9wLUU2r2nZW 6N6AeorqLR5D/l/FfiP0VnRCvmuhewjqJZRFrs10R3VXk8i1i3o86vUoh1Eu oxzjUNo9MPXCVOOp1rsKnU1zXQOpFlINo1pmGvurydo1EuPqKaq3qBpRteIc xooSx3zFfuUAi9lfo9i9OPXA1AvbmfXbKB+Xr2+M3PtUzrgIfTXSfruVw/2R yyXOpfTG6a1bHzpXUIxXrG8fOtdXDaZarFPoXFk1kWqjKHLuqpxVuevqjHth ugO6C4rJis0jgRtZL5V4L+opqre4I3Stpxqojt6ryL1I9TTU29gVuvZRT64u /P9EriX1T9rB35FYt85UZ9s3496RahTVKpsT5y7DgDasvzzj3pl8Vr67LTFP OZpytddj55LqMVVwfv0zrj1VI6hWkA/Jl9TTUm9LOYVyC+Ucyj30putt15uq t/XOjHs96sGWIr8ncS6kN/8W+IcTv9XyufZp1wSqDVTj7mev/wffpVuD "]]}]}, {RGBColor[0.9505980241254547, 0.7464950603136367, 0.44685387478890937`], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNm3e8lMW5x5c9bXfPOcv2c1aKMWKqN4kaMYkKKNiisSU3XqyxoBRjuRcF UbCguZ80TVRABE0UYscCKBpNMKIGBWnWK9J7kSogoHKf7/n9zkf/eD8zO+/M vDPPPPX3zB5w0ZVnXpFMJBKH1yUSNVEe25pI7K1PJH5TTCSW5xKJFfEsTSUS /fKJxLh4Lo7Ov2tMJBY1JRKnxoCh0bY0+sytUbnM9ctjzP3xbnpDIrE4pfaP UppvufsMiPf38cScfQqJxOAod7ckEgvi+3+PcdfG733Rdyffr4331UTiH9F+ QkElY6dFuTDeL4l+c2LOz6PcFb8vif5DY/yL8X5IUmsZ5PX8Mda/OtZ/c/Rf UNW3OpQ0X9u8Sa2V/TD3ifG9P0OkoM0b8f6KaHs6fr8e9auiviDq/0onEldG /c2oXx9zXhv1M2LczGgfEvWN0T67Qe3Uzwj6PhRr2Bv7vTuTSMyPNe0XfXc1 x36b9Y0hVc3/s5jnlXh3tb+VjXUm4/fTscfHG3Quj7GumGf/eHakdC7QGbpM iHcj41szgq4Loj443s+Keb6I73zerN/rot+aKBMx579j7muiviqp8W3zcIY+ P85ufZQb4ukQ/WtYT150h4YDfC7QG7o/H/O0Bu3qY9yGKOfGWubFs3/8vjr2 +FD0PTr22LVG72ivzapeF/W1MealWOfqKNMx3xfxnTHx3Yao74v66KgfG994 MObpHeWQoMHX4+kQ+zgvpfZvR/vyqK82P3dO6z3zNOZVT8RzVVVjfhn88Fq9 1nZ8jK3Na5+fxru3o88r0V4bffaLNS2IdV4a53ldvF8T86/MqVxLPfq/V6/+ dyXV1vYu9jUs+m/MifZzYo7Z8SCEs1zfF/1XpTSG/rTNcp81SdVXR7kg1n1T 9NuvRt/jbFak9DA3Z7oqp70zD/tf5TPlHBaY5oPi94xY55NJ7WWV+9+Y0vr4 LmPa9hf1UUn1vzv55Z5XmN4TfBYfBK1GRtt1Qat1DaqzTtayymdRSou34KuB phdz3htn+E7IRZd4f2Hwx2Xx/rpyIvFJjNsO/7G/6HtHlAPj3ebovyyt3/OR Z9Yb5d86JhIT4/kg2p+McZPi6Rm/L4vn7WgbGf3+GvW/xPNO/B4b374xnpvi 2RzyOTb2vqVF7+/3GOabEM/7Ub/XfW9O6j1t42POblFOguc4u1jHrVEuLolm 0A46I0OrU5Kj+2P978V+909Lv25rkI7dkdOeN0a/lnj3MTSM/luj7fq86v2D PvdG31vK4il4izk3u88m8yP8BI/w3fW5L/llnc/ulODje+Lbm1ok65wLZ3RP rO3tRsnN1ljXb6Pth/G98dH+brR3TYsHmAPeODHmuT3mWRXzlNPmY5/7cteT Qas1Idf/0yhaomufjfaPYsytMXZRlE/Hty6K9rODVl08V9dK2IP4bud41qW0 N3ihGvs9K+h7UvQ9IejQNfpXov/Xov8W9mu6dW4Rz3WO9mXx/aXN+kZD8Ori qNdVNW6dz+X9qmRgcMy9okF1ZOHO+P68WHs1+t4e9TmNOp/vRv+60F/fjvKf 8fvXKenAswqS6QFl6cXL3X5NVfWfFnRem6yLL4jv3R/v/zP6b4t1bW2WfCy1 XodeDwfdFqVkr3oHzW8Mur0X+5ta1RmNLMn2LrX9pb7YsnZtQbx5e1myuNI6 YYlL7Ol7sf5bfdajY48LYo+dom1DrGV9PJfGuz9F+9xob4U3c6LbWusS1oss nx5rezDWtivWdrzt6S/iu6VY58aYpxDlubHWkfQty24zN7abs4MuzLkixv8t 3h0VczQHDZtsA16tV/tx0b9vUTrkwzjf0fH7uSbJ27Qm1Z+K+q+iz8Los6gi WkNz+Af7/0STfADODRvPGSFDW302vyjKR/mgIv/kC+Qz+u7E94hnS9QfiTke bpIP81iTflP/PNb/aNTPLGo/m33WD7vPNUn5I4+5PzL/ifn7uvg9qUl+DfqP 7232tx712Pn2S/ATkOmNnp/vQEf4/4a8xjLHubGOD2IvC2Mv23LaI334Hu8P jfoLTaIddEP3bHOfTe5P3+fc50nT+XnXZzZoPGOvrYqml5TEJxvtP1B+7POF dz52+2c5+TLQFvpv9nfPS4pe50bZ0KpvnV2UfG/xPE82iVZ3mmb8hueedp12 5BfZ3ZaS/Tu5o3wQylPi+VGNyp/Fs6JeJb/p2yPGzsrIz0Q+3k3Lvh3h8YxF LpCJTay/pH5TggbDg9Zvxbvbi7Jn2LV+wc/PxrjFoTc24Xd0lLwi4/iH+Ib4 wd+MeWqinBbjFmWlL5FTbMVC62Z0Mvq4Pi171yvmuiUpHY7+xn86NqM14Dth Z7Gx+JRTgzaTm+SrPOM6tKJ8xu3D/A5+hJfgz8Nq5eNMdZ9d5k/aa+OMpkT7 WUXNM8VzwjvbbNeg0Q7X+4cuyUb9sigT2IXQD7+O+vUV0fy3Mc/n8bwZdDq5 qO/v8Ld6xfvZ8QyHzyuq/64o3YXe2pOSrkfnz47xz6TlQ+M/b01p3cyDXH0a 9ZOj3td6uxz7+O84vwvjXd+SyqfQU/EulZc/uhf+DRl/Itp7xrg36lW/JCkf mfesjbV8HvURtfJpGf9ZSnZ7vfl/te00Nprz3Wp/YHZSfjw+/NCq4oL+JdEC mmyM738n1rol6DykqPezrROmwB/R/la9fHzmwc/f3qL2bVFucKxCnFKf1zpZ G3EGtCIGpN7PcQc0YF58oDaaRr0vdq0oXj401nZxSracGC9T1e9zov1g6Mx3 o98hrar/oFWxysTo38fxDroe/xzdutt6D598j2k4OM73gIzWek5S3zrbftxT Xts7wQ9XBB+tadH+pzbIZ9vZonrvOK+rY46vxbMbe+/1H9Qq+aONOLRDXvVP rZuRAXTlgVXRdFBJvLM9Jf7BFyCeeTe+8WKz/KITkoot/tik+GJorG1D/P59 lH2KsmeLY10nFcVDa6N+eI14AFsMbf63Sf3QMfAufDsI2c/o9/oYc2f0WRfl 6nhOjO+sib10qJEfgw+TjfYXgyZLY+9LWzTnkhbFE/TBV8fPog/6dXJV74bE Hp9D/8TzYYP4gm+x1i7R/6VGyTR6k32hD9F/67z+4chCTnRCj09o0rl1qiqO vjTmfyapeJtYGxv7uWk6sUn9sXfE0BNdv6GqWPvXJb2nHX77WVHnvbVFczMn cfpp0T4n2ndEe8cWrXl5QTqatd4Q8xxfVBy4vEV2EnuGLetUo71AH775ruWl tao46qIY+05V/RuivicnO3NKrb6JTm7jPfMPZwc9oAt98EGGNsoPqemoOr4g +gM9g97G37wjI5+zmpFfh814jhg43k1LKmYmdl4V5eWNqsMHN8UcGessZAY5 R46Q85T11E3WS8TIgxvlp2NH8OMGu77Bcf3AstY4xGtmvjrPmXSdOSnrrev2 WIaRo3FJzT8+yoODXtlo+0bMPTDa/t4secEP+MI8MAJ9kBdP1IJHJKW3ajiX pH53jnr3GsnNo1Xp0K4lxYzEi2fU6Bx5D08uw5cgHnD5QjzfAjdoVX13UVhB Jv8l/pCx/0nZaB210L4zthndgQ5BF2Lbsdlv1WhPL3pfK1v1e0WUlzbq23yX +Ag64xMfEnNPjXHjamS/06bhiHh3ZaP0XI/YW3figFbpGM6b+WtivtebpWuP jj6HUEafqxo1th/+cDyDon5hUvHfVW7nN7b3oqR0J3X4p5DT/NTBRWp91ugI +BE/bVfMc1BKuv294I8TgkffL8umMxdx2l1R3tmoOGRPUToRTGi/jOJEYk9i kTX2c96O8ceBC5S1FnwD1oYehVfQpbmc6uydNQ5yfX5FvsUHIctvxvie+HBl rXNGs9YKv6d9vmBCja4T03OexPXvlIQlzIsyCT6VFM/Ni7l6g+Wxx6owp+dD n3wUcy9qlq2kzprZe7Kq8oXo81aMOYYYsizaE4fiV9D3I4+tc3xaWxU+BU51 HDFUTmPo/1i8SyI7JWFnyAR66RT7sOhhZIi4pd2WIUfUKTtYHm+IMdOjPjzK S6J8Oa+2zjGuU05nhuwljPu94T74BvgF/8prHD7rPsdHL7udPujCPY6VwAmn xjMwnimuE3O9ZkwDbAMaQ2tsF75tOp43Ys3TbH/AwcCswa53Bm/f5jp4NjZm r/UGdruD9wvPsQ94a0fQ8cOg/23BI/92XEx8jJ75wrSaWxI+NKskDAheADua 6/NnjcNijgPjqYv1FfPywVnnLeYd5DeP3o32mdHeEvWKf+NzcV74afjjdcZ4 oTlygt6AzjPzOhtw7D80ikbzrf/Qe/NcsqZcXvPUej2FvOrrrCuhKfHiFNMc XBEaJ0xr9CM27k+x5w6x524lxTojbcsZ39n9xuSEqfcH2zdt2PfpNdK3tO1t UDu/+X4XjwfL5Nt89xeOcYh1OhjrhLb0PcI6nRiLelf7EviE2M35aeEz+C61 ft8+7gyv5TPzA/3BmOmDrAyPc+uWEW+BYU+Op388rej5aFteqzpnlkqLxrXe B7RnDn638zFnQq7kt42K8cp5zc3Y00wPaAUPzzLee2VJ/JwvaY2fWXbgXeSN eJM4D2wHXxC/g+8i48TKn3lf0GOP6894L9hl9sNvfITupgdrwW4/4z6r6kUr dMXdOcUc2MiO5p2atGwJeh3MZIaxWTDa3fbpNhsTAH/BX9ruNvCE/hn5iB87 5ttk3/WXRcXnyZDZZ5PyCfAH8APHYJeS4rlOttfdzTvt59vF582+d1u3vFKW 3utfVHzwcqPsJz7laM+Lf7WpWTSYbPpApxfTwuXIGR1uHu9sTOBk4wDzyFPE 0xz9piaFBbPuKUnhyPzeUS96QSt02yDLWiXs0Iz45paC8hX/alQM3s+68yLL 8kDzUjn6v4JfHf1LLeq/sSDbTtx0sNfK/Ph+R7ba1pfE13wLPibGJT7YYiyH cyDunmwas+5B1sfMA00GmDc+rdecnCM5Hto5o2fNW/AVvlsbPYI+fXPKMSBn 4BtZt2NvE5kvbe5N9kWJvaY3yjf8Xqts8/dbhV+S0wKbhO8YR17jx63yb34S ZT5o8k98iYLed3OfQovmXFuQrqcd/Y7fcmNe/ul6Y+ZgZnVux5/JeG34ANiB EfY5yXWQIwHHxgaOsE1Z7nWCr65yH3BV4teb88IrO7qObh9Rlr0+qCS9MtL2 gDwee8F+drGOqTUPdrDeRpffkpc96ew2+pXcjt3p6nHoiFzQ4R8x58qCbBS8 hH3aFPU349neINmnRP6JI+mPrSZfyjrR75QdXCfXgk5v0+9xvv07SnfPDJn4 d1b90MUdbEf6O+/CmIUtykt+GGWxRbK5PtZ2vX0O/A38hX72GQ6tCMc5rCL7 hx0EV/leRRjZ9ytqe8P9j60op9I7yu4V4V9HRLkreGVb1P9YES8jn/Bzj4qw s55R/qQiXOzIiuzPW/HMSXr+en33tDjXHh2FuYA7Eyfif47NyTZDn6XEyfit 2LKq/F5wiCXOT80piceIG4gjwG6Y76dF8fXBXh86BluP/8D3Z3qPHxfkczQa P1hlH2+t14tvcuRXznad2+Z5nffkNO/RGZ0lsdHXK8pnHBjlNyrCMb9ZUe6K HNbPo9xckL3MVr70OdBRB1SUOyH3QiyCvgADKdlm4uewlnW2MS/7vDjPDZ4D /+c7FeGz341yRlp5c/yjgvkdG7Tb8TL2hhieuPrUonAfcCgwKPIHYPVg6eh8 Ynjs0egYMyon27yqoNz5vrJ4ljbscodWYcX7wIey4oHVHotdxy7WOQ4jtl1R EP7yWcyzrCA7t7ssP7S7sSD8+H7W7T1a1U7cBg4HrgcWN8D2Z7zjI3A8fL8m 7/upWuVUyHGAtd5UFJ2PivmWFJQb2xnfrbQqZ1xqVY6ffAeYIbgiZwTGiJ6r sw7cv6L8Gnk2cLdXzdf0qbE+xNenLxgmcUKN/X+wB3Jq6D2wEmThuKJwN7AX sI59rYq/iMPIDYPx8Z11BeF3dciaMbhk1B8Nmj+S1bq7VJyzA58sKMefirbG qmLk96O+p0WYz6ctih3ZC/r5dGPg7bgLv8EuwP53GJN5vCwMZUtZcTq2Cjt1 dFa6BT081XjXKvsOT9u3Yf89nAvAvjGWmJ8cFTmpZbGeIfHNB5w/5nnAeWLu PRDzrow+D7odvcDa7vJdDtoedP6aMeRKiUXxE1kPPDk0p5xB27ussDnW+R8V zXNwRTahYLswxn4Ve+iVla7D98D+T/a7sfZjJtuPmerfx2SlJ7EdxCnjHO8c XVH9qCh7ZKWrseNHZSXL2JFD4t2oqP+gItzyz8YqkafRlkfi8h7G8J9zHon8 HRjsKGOzxGF/cS4e2v7FdKP8q+tgAAOMCTxrvYdOfCEnvwRMFj+d+Ge+/Sz0 GD7PQsfcyCn8cFhe2M2hedXhjameD73A/RNwTDBMePr8pPJUyM8F/j3FfZHz h7PCIKHzy2nd9wGXnOz3yOkb6Evjxs9Zx7IH2urcTv73EeeAyTeQa9jQojbe YXt+1CobMrwoPpnodvhpovmQ8m9uH2d6sT/meMjt0JK9HG8asgawv3xOWAxY 0QT3BwPDp8a3Brd8yOsBn+yYEybThjnF75fSyhXvcDyBLf5x8MfYOOsfVZQr GWNsH/5ARxNvXF6SXeC+VV1J+Sfu5oC9Mu/ZZWEVxM/oz5qS8rvcI+Ob25xP b79PdkZZ98DIv34RNDwmvn1ffLdXRT7LePPbsJLiX+623Od27CL2ZLTjJXIJ 5BQ+iXk2lXU+75aEXdznGPOyku53cc8L3urkdZKvHJVVnrdPRjofrGBrWfcx RhrHIj8GTrgoI/uFrhid1VhynfAU9g4ZP9DySvwGPneH469a060ueKQpJ/yR OcFFWA+Y28UlxUHcUzgyK3+AmO2TjGQVOQXjButOxTzHZuV3EWtAX+4tYKtm OBYjJsPfxY8Er7q1pHiWOwtdSsJpwWvxocbaP8Gm90L3xLO5Wbx1v+XtGMsf 8tbb8neu2/jdMyvfj7iP/OdY3w07332R0W9XpIu+VdF53ue7QAOMa+APcPbo bnCcCzyuHW+Ep5EPcNG8+ZszJu7C78GeI1PY9JdMF3ieWJO4E/lGNxetnytV 0e0fBe2VuA69dHhFsvDDinKw5GLxAThz7kzAM+hizrvWd9yILfEvJzlnS+4V WSIexnd5Pq27Fm13JRv1vWnWWwMsp+DPh1rvvZ6WP4HPcmpZORbub66s6MxW VRQT4R9gG7kLhq3nLLgn8mfnxYlH4RX45PmscBAwkLXNuhcE7o3NwBZio8Ei uhuv4M7Rfc5zX1MS5sM9nU4Z+TfkTMFUptk+7v0KjnK6sQMwA769v7GdtRX5 W+sq4m/WCC6xNaNx2PekbR6x21bjAsh7tqR7kxeXdS7QGFpzPnf7jLjjOcq5 fO4N3eX7B+S6kWfw4u7GXJh3f/sdrPtu+6t8CxntF883k2rjHTRBPmhHHsgP vmr/Ct6Y5PsP0ON5Y6bIFXEF+OGJZeXCT4ryl2VhH2dFmS7pbut5ZeHNT6V1 v+8c53RPKysPPiWtPOuZZfHTz6NMWSeQB+Me3zjfM2B96C7ks6mqc36xIL0+ 07qd+1vtGDkxJO+QQWzlLt+P7VMWzcDaq1Xdm/1nQXHFEcaviHHxV9B9r5UV Aw0KO9jSKlyi2qq4Ex2BfthsPx0btNMYEm341vjYNxfFD3sd14Ar4Ovg55C/ gm+R8U8dU9JnhXGINY6ptxl7YU1djQ+D5eCHwV/gIpOMX5A34FzwRbpY74LV /LQsvL++Kh6Bp8AfrrevBM+16zuwC+5acf7cZUaOkWd8yHafhjrjGH+Dxw/z 76lp3ZPj3gS+D/4QeoA7lNylxF8gDn4i6kd3lG+Ff4BvcHpVsUHK2Az+9E7T apL9cHJQj+eUb6J8wvVJZcnzJ2XhEPiR0I7vL/E9mdFe73D7VsTqyPsa423Q HbnAfhAPTrVfjI/FPbOR5kH8XnJp5NGS9gG4G/5qQbHxzLL013m2LRuMgfGN 9rsgJ5eVByc+JzZvLil24a4ZcjbPsjbG6x1h23WO17fV91+Ym/s54AHEetDp SdPqgKrubE8vyPdc6z2Toyf3xt0nzgA6Mv8TZeXStpUlo1N8XwP6LXYu8jDr dniBXFIxpzNBxpApfAj4Gz+MGJCY5jXHhvucQyeXjj6AV7h7wT3BMb5zw73R sb57BC4ILcAxzqgqTssEb5xZld5uivpTJfF/j6psLbxKf/zNF+y3c8/xUutA 7NEXvsfOXUn8gmJVsR50g0/xi980bkM/aMjZcK/hJ1nRjnto0A/eAWNM+Hxf KQhDed3+JHTCL0JOu2S1Vnxx1gXOxj0C/CRktVdVfXpWZYfb5DstO9PZeTRi gcn2+fGzuDMKPvyw7zXAb9ONdQ23XGKTL7R8UhKnTPB9B/ipb1lx0ykF3V/m Tg6YCOeDHD/tOzvE5sTonDl8Af+Dub1sDPoC27Gh5n3wlGvddoHXcb7f8w6f d47jfeT4cesEeBn8An7+A/dxgxaXFuTL4tO+XxIWha9FzggagZkybg52MKOx yOJmY1Xc5cAeEDdxPpuMc3EHnPnBIedGuStj/zkj3A/dzT3E6WnFftvdjn3H ztMPvU3bVrePMVYGpve45QP5Ym9tOdKkaDbduGU2zntd8Nh5Jfkz1MHLiRu4 rw8Wig++0H44d2rIXYGVgiG3573hD3htjfUtcTi0vbWiO9X/V9J9Yvwm7qlh 0/pa9+JnfeT4Gt6kHRwe//a/copZ+rtOfAMfMD9xP7Z6meN67nYw33eq8rmW O365wvfz2vPw1E8yL5xv/oCHrjd/4m/c4/P9lfn4uq/wMb9vNj4Or7T9lyIl +4nftNixP7pkqX14zp4Ymlj6jrJkEf2B7lnimBGbvNb0x+da5FgJ+wpdkXPu Qu7I6F4NvjB3m8ENWU+zsfq2nENG40Y6D4jfCB4Jvgm2We88a1ueLCX6gnXz Dlx/Wa1oV7afz7iysVHOob9jSe7BotPRR+h/7CV2lj7jjaFz/tjHld4j+8P3 YI4BnmeWc9ZvlbQOxo10LrLkNQyrCP+/riKZxZZjf9GP4G/oJXRpT99ZIrbD Z8Z3vrEiGbu3qHGn2XYfn1E7cgd/47tg2+Av5hlnXYb8IEfgzcSl6GFkmPWA EaOzmRf5IhaeYz0woqL63f7u0e7Deh81tsK9LDAUdHNzi2iFT9HYIpuIbTy1 oPuR3KM8uSC9wD3lC40hcJ+Lc271WYPvbbId61eSDurku/bclScvSZxPvL8s yi3N8qWJ3+CjrHmpY1U89lJ88zdlzXlbWfYh63wAd1c/cXyNfcBOwOvcgd1u vcQZtJp/BpZ0/5B7iNDhYZ9dzjLFd3sV5Ktwj7U9F1XjnHSLeTjdIiwUTHSe 77os8J5ob/sfQUo0RE8xR848f21Juox7gmcWdAbcy0Pux1p/8h8V/KDLC1rj Iz4vcrTgAy0xx9mOL7griq5Hp8O/Q2yH0C9558qvKsmmYd/wo9jD8eY97hxR R+5uMc8jrx+U5Hvgg+yzv4Xso+9yphV24zjPA40Y117vYz5Exwy2nkEnDbFe 4h7Qse6DHh1mXcp8fTwnNq23+7xXkp+Mv4w84I/iJ3InqJfXdlBFNqNbRboU PYpfRHxEbHSzsQowC94NdH6feAiZH+C28X5P23jjHGAbH5bkg+GLPfAVvJnc Ri/z4acZ0RR6TvAdfHwUzr5gXkI2WNdU+258j/gC/XqM94JdGmTbxL0bchbo vO1l6TXsG/4tGCS4CTHsaGMc4KDgJWAUm42tgbGBC20xVgKGsdl1MMNRjpHn ej7Gk4sH/wX3JR5Axtox2in+NncaNxprwv5cbRvUzfgWcoMfAY6HLwGvwX/Q p+D/tuSrsinYE/iX9bAWzgycG4wE2pL7xs8GNyGOJ27Bv8WfIM4hPuMcOA9o ONw8wrsDjG+B52CPwaC4m4ePDK7Xz3hhc05xN35Hf/seA4ypwCuNOfUjLmEM v6lTMg/YIPE/8xB7X+Y+tC+zzUNO8alvd0yCr4R/iW/JHI1eD//xmmhsiPmY l7VdbhwNDA08H3wf3C1V1b39vxeU8+F+JHaRu28l+2TgE+BNzNWvLP1/SVn2 kf4jfabg0kO8LsYSS4PDNHv/0K9gGnauCgMBC/m986yvloWZg6eDef+4IHzk Kt/HJ2dJvhJ9THwCVgavE/8T+3erCi8CN3rI84CxP+D9kr/ARwEDAv8B5+a/ xNzzwU8ves3wHf8NJmc6yOvGn8K/Jw4gHsBfG26fjZjiPPvwYJZgl9yNZN9Z nyn4zQb/t2t5RbmZFRXllaYaT0NGqM/2dzt6nhvtP6K/brNd2+h7vDljpAPc Hx8QWYLv4fn/B4YrG0A= "]], PolygonBox[CompressedData[" 1:eJwtmHeU1dURx3/swu7btwV8+ytviYggUcFuEqMgK4YiICDFWLAkgqBRmgZE sWACxiMnIiIxQsSTY9SDiUERAiggZQUVKcsCK1KkdwVcytLJ53u+/jHnzdwp d+7vzsydeU36DO45KCcIgtZ1gqAuv3syQTC/MAguTAfBx1EQbMkGweziIOjP WmUcBMtYawPvZmA5+Hb4n8J/BH4V/KeApfAOAPdha10SBA/Du5RNvgGfVBoE K+F1ANZGBuG3ANXgp+DPKbbNHdiuYq0dvPbAavCGZUFQC29BQRDcC90N+RV5 QTAjPwiOYX8s9HJkfwOshN8/DILBqSBYiPz56O7Ap3n4cwH8j+AfgF4EfRH0 /6Dz8X8L+ETgBvAR6LxfEgQb2KMYWy2g83KDoB5rl4HnAhvxpxPnuxP+N+gM xd7bRUHQHV8myL+0z6CzvIj8l+jWwadxoX2Ur22BSvDdnLkjtuZicw/4GOQr kS9GfiLyEfRBeG8h8zvoDey3Dt+OsVYG77OMcX0jfas/Aq+j/yryHTK+I93V y/h3C77tYu0z6MbsPy3yHtrrAN/rL9BfAHvzfKcj0C3A3lZsz4DfFd589M9A nwWawnsemM1+5/Q94DWA3g9vNvI9kS8ts+/fsxaCr8NmFfb3QdeHDth/Fne5 F7oEui78zez9d+BX4CexuRJ/x0FfDD03Y13tob3qAt+BD0FmLfw86P45XssH P4V8Jbzx6LeAfyRx7CzHh658jy3w58A/H/5U/D0EXQHdDHom9FlgE/hrwBXo fwp/S7G/ib7NaehVyE+AfyX8NLAV/B9Aa/D7Qp9tD1CM/K9ZewPeTXyzvNg+ y/c3uJ8u+HOK/TbCfxVoDm8v8Br8XcTgF+x1AlgBPRZ+U3iPYT8fW1/xvfuh W62czbOPqTLvqb1H8U3u1V3D34buZOU0+FnsrS60T9dBfw+9ELop9IzId6y7 XoL9PtATgABeBWsHidcT+PxJsWvGVuhNsXNHMdKkzDVEtWQk52uL7HlljoUn WfsWXmfWliL/AXfyA3czEv5MzrMeejD+nlEMI/s6e16L/EvIfw1eDnyFL3ch s6nYOancHAN/Wdo1S7VrG/pz0W8E/SF0r8ixOQf796NbD58XgVfjw93o7kN+ AfJNkJ8eeQ/tdROwFHwce2zGv+Xcx+MZ1zjVOn2DbdhK4NeAz2WPu5CvhL6t gc94Bvvz0Pmx2DKSTfBhu2KxfhBMge4FPRrbf4CeBj0A+Um5rgmqDT2x8T7f cgpwmr1/C/0B+DzOkItuL+h/Q38KnQPdHv1hOdY5g3x7fLqPfG/OWjvw5mWu bYohxdKtrD2Qcg51Br+WtQN5PrPOfgIbQ+G9g72T4P2w/1Cua5xq3XLk16A/ Gf/nQx9PLPse0APftuq+4E+BXwF/NfRM9N+FXlTmM+lsOoPOsgl6NHgFPnwL PifjWFbNLUT+k4xr8SDoOtBV2FuH/bext1D1mjv5GP0ZwF3YO4eNqeAfAXdA z874W+jNOofsbZy5b8pn7KZaDX8633I699kFujfwKPyp8O8GvwP+zhzHrGJ3 SOjYVU1UbewR+W5U41TrvoRunXaNVa3djD8v4ss78Fthqwb6zSLvqb1/TFyr tHYYvEZvIvpb8eHHyDVdtf095E+CH2HtZ/B3wj8c2aZs6xtuRH89MAr8X6y1 VPxGfouPq8aRX9/B/zzPPm0BP5s4llSzb8f+EtmUfejF4DdjYxr8icgfTHzn unvF8DLOewiZsrTv/CD4isi9xFFgHPt9HTm3jgCvxL5j3bV83AC+AhuTsfVP bC7A9prIvUEtMB75l4Ea8MPAWPBVkd/WY6qhqm/4/Gfupzs5uAr9TvCnFbhm qHacht8vxzmqXC1B59m0a6RqZR19E/C/AdeAd+W8QzjLfGzcg60Ua8PT7iHU S3SGPwD+HPh3wC9UT5H2m6C3IUc1O22bsv1t6LuKkG8MfQ6dQWm/OXp7TiXO HeWwcrme+o2030i9lT1YewL9CvTvR/581kLw71irxvYFsW1vg14H/RQwCnwt a4OR747+0hz3POp92iL/lvop6Pqxa5JqU2PuIJYu8BL6G9Afhv7+xLX7K+6s U6lrlmpXLjK3IzsUGAm+CvmByNcm7pV0J7qbC9kjhrcLmfXIroYeoPcNmY7w c7LO1fHId8LXPYn3Gs/aPvADid9O3aHu8lDiWNQbqLdQMaXY0pvwTOyYUeyo Jx0ZOwYVi+ohnwU/xn6n8hxTtVnHkGJJPd1zsXtc9brKgUXgfYCDaef05+Bl 6FQWuWfMgvdn7ZDunzOO4PyzIn8brf01dswqdvWmPa3eAf/fzXcOtuM8OxLn 9mLoDtAtsZlL7B6Fvh78tOpR2j2DeocXsLFe9UV3xPccG7l3+C/0K+AngIfh b1DOgx8D+qWtcxS8KPFdqIYUg6cTx45qTiH4VexZy/lq2P8K8G9C1yLFXCN9 n8i9t2JKsZVKHIuqAQXgfdVjFrhmqnbuTXyX/+GM5RnXJNWmD5HpELmGq5ar Bqxir6ti91qtic8A/MbYvdYa1W90GyJTXeAYHQ1+fezeXj2Oep1HWRuWsg/N sN0mdi+0Fn7A9/1l7N5TPYd6j7ac8bqUY+IF+MPRfx66Cv0odE+s3lhvRm/o q2PXCvWE6g0/V47k+42viDyDaBbRnW3PuAdXL66c35mxTdlWjo4IPZNpNlPN 2J1xT6LeRDVgb8Y9mXoznemR0D2relfVsIMZ55xyTz4/Ab++3qAC14wBoWNS sakYVizvVE0tdM+xOOMcV67XcIZGyD8Yudccjn5P+HdGrnWHiMnfhz/1jGnX xP3wL4rdq7bkvmr19vE9r0H3ON/jeb7n7sRvt2agXeA7s56FVANUCw5DLyl2 zN+QdU+l3kpv8APsdzFrJSn3KENLPSNqVtQM2C90jVatHgh9K/6sj93rqQeL uf/2pc4t5dz2xD2hekPNUJql8qA/K3BN7wueBhYV+A14KHTNVe19DLob9m/C /pvqrdEvit0zqHdQT9VGfGw2KnEPrV5aPbR6aeXUleAhsAx8hWoavj1b6lzX N2sF75LYs1ArbJxE/7LYs82N0GegL409O2hm0uxUXubc155twJupJqY9Q2iW +FOp70IxXo79y2PPOpqZNDvpTnW3mkE1i2pm1uysN+0H+M+oX00555R7w1WD izyz7MFWs9Czbw7wHLoDQ8eOYlCx+Lhm0iLH3A7NH1nPorrTy0P3bOrd1KPX C10TVBvUw97A/l0y7sVmI5OP7j2aR8C/RD6FfO9S82apJsN/tNS9i3LySfZL ZS2rmfreUtdM1U69SU1i9/jq9XWmFlnXKNUq9RAdI/es6l3Vc64J3aOoV1EP vFJve+K3TP9x6L8O9bzqfdXzbgldQ1VLjyNzDfjVWeOKecV+deLZ6RLOeD17 XxA6FzexNgh7D4eOPcWkYlM9jnod/UdyDv6DoWNfMaxY1puvt1939rTyJ/Td 6A50F6048yTNT8RLAfgvYs9e5dC5sWc2zW6aOTR7qEdQr6CZOcbXKOv/AhTD cdYzl2YvvTlbM7Yp25oxQ+TrYKO68KeeA952YEyhZ4qKjGuyarNyqjx2Tim3 9B9OlLjmq/bL55axZ2rN1prhShPnkHJJPcgwztofuqrIb3SSdUwoNhQzip0g 6/9ONCPUAb+TtelFniE0S+g/Av1XoDdzc8ZvkN4i/adyXuIcVC7qP6cGib+Z vp3+Y8skzlnlrmbS+ol7GvU22qNu1nequ9U32Ba751LvJZ8bZl1DVUv1n0VJ 4jdcb7ly+ufI/x8NpQpv "]]}]}, {RGBColor[0.9673216454707361, 0.7883041136768401, 0.4986971009592816], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmgmUlNWZhsuqlq6296q/qv8ywiQGdUYRGpOMGicakyCLK5DFoIkCCnMU aHCX3cQZJ0aQACoQEpczoEZAQRFBFLBZAmjUcYmCLG5BmCQ4xyWCKPM9vG8f Pafvufe/dff7Le/33v7akLYBo7KZTObhXCYTf5mV1ZlMqSmTmRaVY2szmRsj LYhy/8ZMZlY0mBTpmlImc1bklxYymacbMpn2Bn0vrVMf2q+KutWR9sZ4A6Lv XztlMrOjzYRId0W6M9K5+UymOn5fV5XJTMxpfH7rF/X5qF8U9dNivNsjLYr6 86K+Luo3RH3/KNdGeXuUd3XSGnrnlK/1eh6NfEmkj2I96+tUfiOrNk+7/fLI V0RqjvK+rL4/ify4Zu3hxJz6MdZr1drTKo/Pul5r0Npof2yzxqXudde3Rl2P SFvi+7FG/cZZM+eTnndOnPcdkY+PtL9aZzws0ptl7e1bFe2JdfPdN/aei3YL Yu/lKL8fdc9G+4eiXT6+j08ymamxtll5nfuvozw1yu9F+buRZ6Lv+Oib1mcy Z8T3waifGW3u91hdo76X5+jl32dE+4NxhifE94fxvbsm7or7izStonWcFPOe FXlV9Lsj2l9ueeFut0f72+K3T+K3PvE9JNLgSH0jDfV3v0iX+XtyjDku2o+O Mc/OaSx+O79R+xjmPpzZOGSjUW3Ocf8J/u2dmHc6e6hW/4n+7a1OuoOC72K5 y3/M6a42Rv4IdxVpa8jDvMjnR3o+xnkmq/o1kQ8LXdgUcwyPfE2d2q3O6oxK cQbdq9SP+tejfka0WxzrWRr7uiTKa6PvpZG3hQx8HP0/inR8/H4gp/4tkT6L 8ueRylWq53tbJ62PtbVW6TfaDonUJ1LfSO9Eu02RNkdal5Uur4/85GbVvx3p qoLujjs8Kq99vxXpt7UaZ7DH6lGlebIhG4dFSqPcHHlTpH5RnlWrNvT5aezn qdjXoMjz8Xt1pJ5Rf0+T1km7p2L/K2K+fhWdBWfSK8q/L6me35dx17HH/4u9 vleWbF5fDB1m3w26qw9i7KpotzD29UmUD4/yxiifGns8JdKuBiX22nF2lN+x bm61Po6vVd9xtTprfn830sEYs1PUvxNjTq5VeVKt+rGOJNb6aU5zMD72j/Vw 1htjL5/Hmn9VlL5xN0MjjfO58p3EPl+IsxoRbU/Pq35sleSL+92SVb7Y5Xd9 n+j77gadD/OT7/ZZXRVzHxZrGBP5W/UqX+0zoR33e1pea2M93WINa6LdX9M4 E+s3cvu3+H4m6v8eef0RupeONY7zOhljvPfF98wq2Qp+v8PfVTHGBssAex7v 3xdWyZavr5LNWOQ+GdsP2g1K5SNmFGXvaIu/yNsP0GdAKls1Jdp8M9X6xxd1 1y3WDfrsqJK/wIfs9NyDU/mR2UXJaV/LedURkkl0EbnlPEqef6fHml0rue/t OVot2z2sM+gC+swakCn0ptV62jOVvp+Y6rw4iwU+r0X+PmCdZ96vVSR/20IP 3oi0JfbYOeoK0X9DjNMU+fay7MIxUT8g1vyDuPdX4ruBe4w2dZGvyqrv05GX K5LXLdFvseUKu1CpSB+2Rv0jrsMudIr+f46+g+KsBsb4ZzXqe7Fllblzqeb8 SbT5Q8zxcpQfivxASybzYpQHFOXjmY+x8xXJ66sx1z+i3Y5o83Hkm0JWX4jy VLBHzPW9RvXv3ix9vdN4YYnHaoxxrsMfxzj/Gbo0N+5tdsh1TV5twB7o7Bbb jd8l0t2ekc+tlb27tEp96HtrRbZtiO9yUKzhyljDzlhDVexxTchM37CdY6Pd i1G+oKC9Us9+8Qk35IUZwFSrq3UeTYnOaUicwz3N6vt21N8d5ZGR1lbrfp6r 1h3dG3VjIr0U33ti3qfiHo+IfGBB/qQ+lb/BL3G3r1TUtzYRbgH3gH+2ZXW+ nO2oRvnUkyJdHe2Hxzp/Hu1HR/2eavnQRRXZgn+L+q8mwh0jY83bs8JHjPVZ 3OlyMEKsZW6s8Ql0MOp75jQ+/pyx2T94kjbDIy2J7wezqudMuGfGmepz2IBu R7k6Vfmcgs6qDb8V38uaZYMPGK+BoVjTW9W6nzS+n4/znxBz76yWDef8PmPv 0fdT2maF94o5+X3qSpEnOeEyMAEYYX9WdbRjvnJO7ZbjO2LMliiPblY946eJ +g2Pszo66ru5b/eccA+Yk7atkXrk1L+nv9/Mah3MucPrY187XbfPa+zh8V6K Pd4Ue9wV6zimWVg18e99PV+r74HvVca9YNcR+LRqycAVjVoD59bHNhob/16d bAL6c1oieUAu7kyE/ZZVJFfIGLgamUa2sUNgIWwOMkrON/5rrespY7foi0we Fnf9cJQzkf8t+s+J+/17WXgZnI3ODyzKBmBL5oY+/rZJv/UvSoY+aZF/xk7i r1fXqYx+bazTfB97vRusF+gl86K7FxZlu7BhPy6q7mCMuTJ+f7JO+jgvq/J/ W96eq5PMXVSULcRGotPMzbzlVG1KkV9SlG5jv3dUa02sBxzJ+aDHlxVlA3eU bQM8L7KHzCNj2GZwyh+z8o0L7N9OS+VrJxQlf8jhzhinS5xT5ybZuMuLWm8S be9rkg/Dt2EDG+vly8BzTfaF4LcjjPHOTNXm5hjj9FT1NxUlL7Qf6rzZZc5+ ks+f+WcZUzLvvf5eUaf9sBfulHiPWAgsRj1YDjyFnwLjoSPsHf1FRmbb/64v KN66MvKNBdnySc7ZN/K8N+7yquh3ZkFnMtd990f9vFjHvhbZMMrI0xG2tz8r SgYoP5XVnaz0vcw07gHPdAmd+EqDfP380JH52M/QkV6JYraLUsVWf3J81SXa HtWgfmDXffWyb9itfIPkoGv0PyzKVybyKbkG+ZUdUS5HeUqUT6uo/O3I/7mi NsdFnmlQX2zf3pj7YKxrZvjGD1Lh99bIny0Jb90ae/xHfG+KNXwc+dv1wo7g xg4ceVtWuGxc1Rfx42bHkO1NimHYf01F/VYUJCMbLT+9E8X8Q1LFlGOrvogr 19UrtizWaw3gU2LGYoPixkXGRsx/SkX1J0f+1UgHov0/RX50RXq/qiAZ4UyR kw8j/6hevvXIimTq6YL2+E69/BFxGONcldc90HejdX2l7/2o6Ls/6ofFPp4v CbNOLar9ft/dQu+JtTZV5PdWxlwtFcnvUwXFBsQtxGLfjPrm2Ms3In+5RuVf xBpa47ueGLMgG19vf4TNb2hQHT6upkHy0q0imVldkL/L+N7ZO3MttP3gN2wI dR/6TLjbt30O9KMN5whmrzFuJ1Ubv+6vkewit31dz/2CrR4xVoTr2Or4COx2 ZqP8+/1ZlR/IClc+0oEFjfFuj/qRjfJPFWM2xsL+v+YyY/L7SPuwPTXCbGA9 4hviRmKcznmViYmY4y5jRmw82BicRv59l7HfYNoN9rm9GmVvflIQFwEncUOi +zkJ3BrliVHuDj+T1TjE2YzRy+PsrpMffTQn3/U9n8PU6DsDHiD6LjFWhze7 tSS7gf3Y7LPB/4KxwEiftgh3gjOzqX6bZXwLrgPDnWP8NcrlMa7/Rk48yXWR zs2pbowxH+k6t+dM2xqFDai73u1vijXdEmvbEmu+pEltGHNKIo5lG/FIIt9W jLVNi/LMqL+lorajPGZb1I+N+kkV4dRDeDUVVwSHA7cDT3OZv+GY4HLwC+D/ uyw3YG587c9K4nSGus/OGs0Llwa3NuFL8QLjMg+cJJzmZPZbFk92lWOTCW4H tqAfsvfjgtY8NOb6l0Q8G3wb4ww0v9nTWIo9nmobi60dVRRn1SX6bSiIa9td lu/qVC//C69SZV2bXpRfJ/ZlTYx9bCIZQpa483UFcXzvluUzd9XpfNoL4vve Lkt+aA9XAHYHw8MpUrfb9bOKin+Jg/FJlXrZZmx2wXqNPy/apxfs36nHNuTr v7ANedf3SzVO38j/p6RYfWZR8fZCx7evlBSHz/H86xyb7zCW6Yiz13+JI1jg /nu8fs4D3mKPy9imw7yexxyfgiv+K5GfPLUieT7Pck4OnzjMcnaeyxe4Hpmf bJm/uqR7HmCZucI2irvu73p08CLHidguctqBq8FcV7o8y31oD89wTIO4hsmu Rz7Z3//6jm4syoYtirV0tx/fa/livy3Os977DW5/Qip/DAcBJiGHc6Af+7vA XGrvitZwVuTnxT6Xhv6cX5JPB58wX4u5DPqeVVBcR+yID2BseCk4mBm+J/gz 6uFgdhrTEDPiu+obvohbyIm/bk5kg45M5AexscROcGPY2GbHXCsifQ4GLovL vr0s+eJtADmZVFZ5euTXJbqHkebhaH+Ie0pkt9pK8p95+1B4euwLtgUsw/7Z O36TmBMc2918PjaBt41bvM76RLYIPuDZGvkL1omtpA1yNMbrH+3Ycbn3gh3E tmBjiPfHuu9zNYoxaEu/5e57cSocBZ66uCgMnU8VM+J/1jsuAHNyF49Hn6WR RjRLLx5tkn/6aVFvNoenX3D93B/4tGKMOqEsTn9a5D9KNSZ49tpEMk08AQ7q Z4yGLrM2dPgM84XgPHAiHGLHe8MZrgeX0wacPrGscX5Tlr0BA2JzBhcVNzam ksd248yzHTujg/ij0fYx48rqO7Wse3vCd9fm8iifI+dJ/D3L2AF9XNwkf4wv Jn7mvYKYHfuKzcfGfr1Zd9/Nvpm+2J+Bxvc/TOXPGQdMkPc7CX3Bfos9/hS/ h/AOMt5+jrcMOI+7zQW9WpE/LRh37PK8P7f/xVfDL1CPHnVOZLeuLTmOrFaM eb39PjoGXkGnro62FxYUBzen5hqqpacTzZ2gd8gfcojtAq+AW243fuFdhTVP tb/Ffg5N9T7XN9FbYtnvidj7AXnZdTDgw03CgejFvdaFQYlih3Nj/YMT4dYL S+I34D7gPeD5GPPaWiXGATeSP+Ly5Ynw+8XR94chPw9hAwM7/cj7/feS3o8O +vzRB/QCvIf9ZS/YY3TxXvNv3CV3h45dXBCPwlvoFYnw8pCSeDhiiFXGlgN8 14cnwp1wDOebuxtcEj9IPMc7DnEYunaI+85pfWAaOLe11m3sJXEAdw3/Mddv h2CAueZD4J3ggeCDiJ3w+70tI8hKN2Mb+oNv4Is4W3gpuJFt5gmR86PNK5F/ 3XwW9q/VNhCZ2f4lvmqHsTNtu1pP6ozx4Cbnwwc1Kw64xzxAd8cOPWx7l/it 9Q3zYW+ar2ONx3hv7ehHs/jGrn6rZa79np8+rd5TB8dGntpHj7Bv5o2I9zDe hIg1Wv1We7Lfj4gjWC98NLidfLPnhSPY5HK762lbNAZGd9Ehzgg9Yt37vSdi H+YgVuLt6BSvgfjlVL9b4ZPQYfQRTAqWHe97n+O7m2MeDBno6jvivsYmsg2l RDwL/EtvcyGU4WGY81TvkXvgPni74Pcubs+e2r3HYS5zh+CINvtH1rfNcrDZ Z8U5wDu2+uzBPpw7Z55YnpDFNttj7neE2+Cz+1ou6Y/NXuZ26Cm+jNiKNzLe YtEd+CJiduJ+4vA2jwmvBr92iHs0/8xeyNkPnAYyAr/2meUXP7nTcRzvHGDI kfaf680BDvM5YKNHuj6bKMaDpySWHu7xuW/WzhycwyDv8XFz/uwFWWcv7Z5/ qddA/rjbYCfgV9kveBX/B47lHNE9ZOt849tzrdPMzbxvlYX1iEU63uAH275w 1h1v7/08Lu9OyANvT9ihPm6Hz8H3gJ/gz7qYVxzpdbJ2Ytz+tsPbvKe1PoNl Pod5fkuH83zC3D4+GjuLP/jMfmG0y8RlYC9kHl3vajnH1sKprvI9jrZPX+F3 E3zK6/6fjMTvHGDXgWF7v1sRnji9It4Q/vDmkvz5XPt0uEe4Evw2b9r45rXm /bfaJyJzj1pOyB9zmbhtlnHFmILenX5Vkp+/y76edybmGlEQn079HYlk4Q3L drv1CXnjvMjvtx3t4FQ4v3t8hnBaYHhkkHNeYx4en4pvhZ/LJ+I74K3xxYwx 1T4Un/qAZRxZR4Z/bbmH9wbn3uO3mHbfMWvFl8IDIFe86/NevDIRvlthjPeJ eTJ0k7dV4h7erzk3zvGQ/zVv+7uSfCRr573rVceMxI4vmH+Dh3vJMSaxJv4e vw/Pt8prnm/52+61cjbwvJwP3ARcweUx/rs1wjTcC1wGe7ktERaY6fjshoLW O70kbheuZl6i/03g/2eIg9bZjmy3/mKzdlqvqcdW8L8W9EUmNjk+4f8F4CmR M2QM/LjYGBJse4n1Dh94rOUfu32ffWib24CB4Rbu6+DcjZuwp8QlyC168YBt zhrL0BrLF9gKjDXN94ovRg7/0sE1+H8x2CvxKWthTcxxot+1e6TyZ8R/vGMT ixKTEsuekipW/Xbk+2p0DpwHb1PHehzK5L3tJ/FR+Eo4Debt+N8W8g6/ucv/ CwHmXOk3xg6d6ZAFcnh7bBRYEdkfbiyBvPMexLsP75LYieU1Ggu+7RW/ZQ8o 6Wzgd5/xOT5oGaPfQ186U34Dv4Jj4YDb3fYPTmttH580x4x+cefYm3X2U3Pt s5CDtR7/Qfdjfu74XvvuD8zprrd/3OK1oNOcC/2QfcZE/rFn2AH8Cxw49hS7 zDsaPDCxL+3BOqyB91Z8DfgTPvJFv9GD/+Hd0JV5thfYDfSJ/8HCNmDb0LFx jk/wUb9MJG8l250p5v3xUfgrxiWmmO43D2wLuviXGunjc36/4B0D240NH13Q ec7zXeOb7rYP7el3/9+bw+P/2LDH+BT+hw+5W2ucgzywbvwfa8aWwzXjHyaW tIauidY1xXbvqEQ49BeJ9gD+7m3ZPcr6DufHWyo6i//5irn0k/3/N7y18h4C N8SbCAlbiS++pii+69hUenW87WfvVO8xfSL/Vqo3lX9NpU/H2VbwfzEneBxs VRfbq+NT/Q8Y/ws2uShe7zup+HPWjO7BRdEGfWe9YD/4oL1l4YD3y+LaO7s9 /zeEbvP9H0Xxht9PpU/oGDrF/3zwvx/vtwhrPWZeYpo5hz+VJEe8PyFLtKXM Gx7xHDYKjDGjrLjyzyVxB3AIL5bEAcEFvVxSP8ai7+0lvWFMLek8OOfjzSXB EW0uiTuAQ5gS+dkVcRf3lcQZYYNvTMRhUI9/43+sWN/V1nlkGV27zjEq6+Qs OJNDZ+r3FvZVMla/PtH7HJj6jIriSeJK3rUYnz7sg9ictx9ii+9UNOaUkuzZ w7ZpxLfEucT3PSri0fhfM+w/vNJWc1dwbcR0cGRg0msSycahN5684l/4LPzF keboxpuL4C2KmPL/ATQUYNA= "]], PolygonBox[CompressedData[" 1:eJwll3mQz3UYxz92l/2tvezv+/39fL8TYhyVUe6QI13rKGStjHUTJXIfi103 RewalGPwRzM0XYxkJkIUYeWKspQYN7lqkKPo9Z7nj8/M83yf63M8z/t5vtX6 D88ZluCcK2UlsWr7zkUizl1Mc26051zZwLmN0F+glISsLXyQ7tyjcs5lQ0dY m5HvQZ6MfARrEvY/pTiXBX0V+Q70NyQ6NyuGbejcLfgv0e+HfDExIsnOtcdm cty5BxWd2wR/CP+dkTVG/yL0POTPQg/Ax0ToI+hkYF8T/5eJf4U1Bv1c+Br4 T0SeA32d9T18ZWzqQJ8gxsRUO1N39G/Cr4Dvy+H3Rp2rgM5uZHtZA5C30Bmx T2FNhW9AzDi+/kQ+Fv4i9guwX8v5fsQ+j/1t5ey30e+P7knkU5FvR78v+lfh l8EvZ12DLkZnEf7OY1MdujpndBnOneN+3oHPJP5ObE/A5+K/JvKT3Ec+NrWg 03S+NNPph/+f+da5gnOH0UnA/jwxioh1Ff4cdCf2t5FY59hfD+Q5nunqzv/j 7stjfxbZaOLlIf8Nm4JUe+Oe6BawbqFfj/hNiN3CN7ocNlOQXY/b2dpwn5PY 71H8dWE/x7CJoPuQGJ/jqxj/ZeBHsyZjf4g91UU3QfnCXo6i/wb+jvAtB/tf 4Mui24v9H0ZewkqBfwz5PWLvxd9A+MvEX0z8m+hfgn4Rf1nIo6xZ+BvvmUxv WFu5w9qK7VblEPRc5A7frZEXYP8333Yp35E3DiyHlEt/6Q3QPcB+siNmsx/6 LvJ96VYjbaDn46M58hL4f+Bbssfd0Ems5vB3ApN5rNn42xez2A/xXwL9FquE uynF/zBsh8bsrrLItzzudzDfDiJbQ85MCC1HlCvr4Qvh7+P/QLrVRBdoj3UK /VP4f5N4o/H3HvFu8K0Svlqx9qJbntUK3Zu81yjucxQ+b0D3RX9nisVUbO1J e9tAvMnE64FNO/wl822hZzmh3FDOK/frCT/IjTvcZ/3Aaki1pBpWLc/Ax3Z8 ZXO+npylCP44vI/PlcSaBb8zwzChqm8xFfs2++saNUwSNoXEbB8YhgnLVKMX iH+M/efgK439/apcihn2JAlzoKd5dnbVvGp/JnxmumHEDex9vp3G/358xgN7 M72dcky51p/VAX+p+FuKrNCzt05gNUV2lBgdI4Z5R2JWI6oVxXgB+TTO8y3n OUOMwLc31lvrm2TPseLQp3iDar7VsGpZNavaVU2oNu7DV4If5ButGlGtVGGN Iv6/8FVDw1BhaRl81oAf4hstDBIWCXOFvR5809AwR9iTCP9kaBgnrBOmC9uf CE2mnB3E+U7FLdcifKuD7GntEfog8iHId3C+dPgMVn1kp+N2dn2rB9+QlQV9 FP2QWI+HtnflYJ+Y2cj2CPww+Abw0yNm0wi6GWt+xO6sOXST0M7yB/r56FfB 5yXivZ7p3KfI+kYt95RjyrXpvtWGclK5KcwSdgljhbXZrJrIkso7twR/65BX gb+P/2L455E/wl8lvrWGfoW1PmI2bULrqeqtwjhh3Qz4DuiPZz9fh9ZT1VuF ocLStb5hz2XsF8OP1/uzv3fR/wo+lRzaD38CnT7k3irfaud39IuRF8BfQT4S /Q16T996Qxf4z+DHwIfCFmE2/AT4hvC94UtDwxRhi3pQBWTtAqs1YYywZgvf NhMvnft4Fd1lntVCZ74NQD7HM2wTJk7irfupxqE/oL5+iFoMxdKZJuJrNWsN 8nvcZ0tk49D5JGIYvxt6HvKF8OeQF8bsDnQXOsM4ZC+j802y9byOyF+D351s Pbo7/Nm4xVYOnIEuZY1LtR6V69kd6a50B5Pwl6IzItvG6u3ZHemuhAljkc/B 555E2/Nc6LbE2068TcTLhV/kGTYKI3oG9sZ6a73JTOy7edbr1AOTkL+N/dKI 9fBd0Nui1uvUk0Nst0ZtltJMExc+BIY1wthm0N9FbZbQDFIN+eao9XZhegS+ yDPsUw8r5OxbkC9IsDvIVP0H1vvU8xtB1w0Mu5XTzwRWM6od5Wxl9j8Q+8X4 Os15J3DeD/m2BP4y/DT4ochXwF+Bnw6f59lsoDdJVr/0bHZTD+ka2Myo2VE2 s6Erh5bbwjBhmXJWuTsVnZrEeimwXq8epl7WMrDZTT1XvdfBr0uzN9HbCDOE HcKMfORd1HMjdgc5McMoYZVmlFHIB8PvT7EZt1vUZjbNbjrjR75hgLBAM4Nm B92B7kI5rlwXhgnL1HOn+YbhwnLl8HzfMEnYJMx6X7kN/yDRMGMR9MqYzaqq sVUxq2nVtnJuJP5jgfWmM5yve9RmWM2y6vke/j6OWW1qRtGskhVY79TMGw0M U4Qtipmv2owZlqnmVHuqMdWaZtYi/M2PWW1qxr4WWI4r13WH2VGbeTX7amZL R79WYLO6/gnq+FZDqiVhVprmj9CwUhgqLN0etd6hnqHeoTPpbHoDvUUvz2Y3 1aRqc7lnvV09dgr5nM634wk2I2cENiNpVtK3TlHLQeWiaky1VoOYF1Ishxf4 llPKLX2bHLMcVi7rH+kp3/5x9K+jf5Lh0I8q2uyqHCtDvHvwq9MMg4RFdyva v42+3YceEbV/B804mnX+Byv65gc= "]]}]}, {RGBColor[0.9840452668160174, 0.8301131670400435, 0.5505403271296538], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmgmQldWVx7/idYTufv3e67e037MSpRuRpZtMFhozBCPQgGgyk0wGJka7 GxKsWJmxjKFtlig4iBg0YWlwyWYqOpkSAadSMxGJgYmsRo2OFRREkEUimSQY FTAqmTjz/3n+r5gqLve8+51777nnnv1265e/9vnrByVJ0pFJEv1LmvTfCLWL 1KZXk+SRIUnys3KSLCwmyci6JPluJUk+o/EtGv+Fxj8+JHD4duacJHlU8CzB S4R/o/ofCb8qvP8eLFzNu0fff1ufJB9Q3zUk1gFvkfC+oT2/Ldy5gicI7mVP ff+J2lv6vUTjd6m/WzizBL8owi/Qmv8kuKDxMYLHqhVySfIx9UvUjmvfq7TO A80BjxbelwpJ0p8PmgapTdH6K0XDOYKnC35QcFU4+wcHPxZq7On6+H299mrX 2Ee19lcEnxYNIwQ/q2/7df69+t0n/F3Cf25w7NundlRwu+hu0LfvqB+mlghe xXnLQT/n2K+1lml8kcbe0pw7BV+ib5/QeFHnGqe+QeOf0fjjonN2miSfEzxd +EP17c9NSXK++ve0/wbz7UA11lkmnOVqszW2QHuN1PggrXmR+lni0Rc0Pl/j S9UeFHy9xvZrneWaO1W/TwwO2toyMfaSvr2hsTat+Rf131J/s+bO1fdrNfcC n+Gb5ViX9ecUY29ouFj7turbu8IZL3hBOXgLj68uhgwgC19M47zT9P0y4V0o mqeqP51Nko0aPyO818T77wt+WPAw0wqdS6tB663luOcu33V/XcDIXofWa1cb r9/PiH/5hsCdpH071d8kWh6TvIwVPFn4f8qEXMLbzRofJThfF7I/3vK/U+tk GuLbLwUPaYj5/B5p/FF1oT/oztvnxF7T6uJ8w2j6vVt7ZNU/oX6VznK/4B+W 425bTQM8GGY+wIOs+XBjJvSsLxN6B7xC8GPVmP+w1vliJu7uSvVPa8+nciGj m6yrdwlnVDn0Dv1DBw6p5TJxno+bJ3MsP61p6Mx+4yyuhv5crzX2auygznlS OvIV6deifNw994McTbXOc+/na51PZUJ+kP/eTODMUv+65terH6L2Sa1fEc1/ XY3vbxtnWTXg2Vpvmfa5LR/69obmNmRiPnRk1TdmQmfRV2zKZfnYA13+L91d a1PYhTcHBc5J93sNc6Z9gk8JXlQNeIb2PbcQeMyjsU+D7Qn8wXYsrMbeXxV/ HoEnjUHjcZ3p1VzcMff5I8vAqfqQAWDsLbKGzGxTO6D2ktrUuhjvVduudtDf xjYFvEOtR22+2jy1bvfoxPPSqVbztst4fJ8p2q4QXw5pzwdE4/2NoTszND49 H7avS3N61LrV2k3HFOjIh3xP8z6r1VZ5P3r0EZ3bYv2ErgHjtTQFvECtvSlo X18Xto+z7le7VLLyrtZfWtL++di3Q+2U+HdS7WrBo01LV40mn+0KzT1X605T P0l0X612ldqlmdAN9OLyfPjEnOUG+9Lmu7zQvxtyYeNHYRvUJmdivX31YTOx RyM8NlFti/BfzIasIxfDvRYNub/EPniiaRnu/lMeu8r0ZY033DqyABuO7ufj LqaYlm6fbZv2PZQNXf25/NKyxri3LYXQn17jzlPr95x+25K5zbEWZ3xU+Esb 46w9grvV8rmgC1xszi79fiUb/mBlNWT4BulFbxo+7N5S3DH3+ZDam8J9V7hH MmE7f2JbOb457CV293AmcN5RO+T+bbdm4RTq4ntJfbEuxtp9/+DWxoqWEb4d zMTa2FLsKHOxpQXPw05/RPpZ1LcfqF/SGHxH37+m82wTvFy2caASdnWjcPo1 fkDj39bYPxbDn+JXD4oPq4VzBzFRfdjYFbbBjF9pm3237Ta2Fp1D9g5VY3xA c68pBl/xtyvLETsRQ6FL6+oihvmD+P/7XPiXl80jzvmXbJydcx7jjnJB645M 4MGPic1h1zl7zcZx3lW+K/Zoa4q7G/DYDtubnb4b1lrnMezTF9KIsQZKQd82 6/HHNH5K69+k8V2+Y+b/i851ns47Vv3GTPhCvuNLH7Hv2VAOGzlO/fpM7M05 xor+7eofUtur872Qi3v6vu+R+6wMCVl7wmsf8d5Z+118aH0atq1HtG3w/jtt 5+ZbT45q7SO5oBXbXLF9Bpc5Gz1nvX/jY/89H352t78/7DW7rLNbC6GT6HG3 dbjLOn+pbcAzXmdlJnSa8Suts5M856TGr9M6R20zJvob8S9xMD4XGdiUD37h k6/V+M35gOcUwkf/Rz74CO/g7XrzGb7CY+aCe43xy7n4vVDje3Ixn7l7Da/L hHwSP6HbxOw9tiFHTA/8hAZiBeR7seBb7MeJ1/oL4R/ucSxNTL3C8SRx5ZO5 sF3whzMxn3Phv9oK4cNaCwHjI4hniPPwJeg4OQCxzBrbVc6C32Yc342vxsfX 4gJg4gfiYmIP7OmA5YT5I5tDXlZlwudA/0Lte24u7gj7R5xCvEK8NcNxCzDn A14r+D3h9Qm/XBdxIjA6vdryyH6vOH44YLnebTkn/oTn6Bv+kfNOdr5zns+1 2DIAz/E3+CT8yxbnMuRQ2BRsC/aB7/jC9+MbjQ3ORz5zW2PA+An8zM89l36L Ye57SD7iftbGx+BfiIeIi2ZXYow5XZmzdh89vb0x5rI2sj7XOBPUf7I56EPG TuTivMSgxF7XVsL/4pPx3fhhzoDPxYf3mQZo5zzQz5qshaxuLoT/Iy4Y7nPX /DA9MnPCe8OnER7DhhOroiPox3KtW681vtkY+SLxJHI0uTnuhns5nQsY+URW iWeIx9gTuTvpePYNx5jgMgcZhha+Y7cXa4/U8WWpHD5lTinogIbZ5v8Dvpfj zl3hB/PO9VziQ2Ig4h964mT2zpbDTvZqzU2FiGWJo/t819wNMo49qvn5w5bN YV6Lc2DL8T/4YnJu/B86h+962XePDzvo3/BqUnPwBflFjtHdNBd6VXHeQ0yC nwWv1fpOnrWrcFaHdlmnul0fwA5D83bbz0W2HwttE262PhIXb7Y8wCPOvm9Q 0MBc6EBewMlngi/gwLc5zoNYk7FNnovt32r7jA/gN7HZEtdSqKkgV+w50jQA I2ObHJOzDncCTC7zunMb9mXsMo9jp7Z4L8691X5nVj5i9zHiyWv1Eb/hG3s8 TjyP/qHD6CBrbvK9ozOP+ryseaP5Oc92ELs8qjngVR7jN7YaWUttS3+Vi/FV xh9tnOdz4VfwKfhBxsEdI7vaobahLvwp+/ZarrCHB80zaINv2Mx2r9/ZHL4N v9br85O3UB94ohA+Z6tlY6p9X0dz+D/WAMav4ePGNJ/9PsbjrN3puITxds/F Vnd63/XGYxz/8IR9RM1Xofv4xmOON162Hya+QMbx8fh/4owByyk8J4aAH/CI s64zzZz/fRqyMbfPNKz2fPQF/SJvquUD3Zb9xZZ/cgrydHzFLR7Hd0y0bmLH yAWIcYlfZubDt+HX8IvcDzk7dgh7hD28tTH0GV2eb9rBO94StZ6+UsjbDOsL 8j/T8oY8osPI20bzYK3lkHH0h7jpGdc6GOvx+Bb7mrk1G2zbAs3/kI+9NzsX Zq/bfJa13guYWI4YC/2s5YL0+JSJ9hMjfO87bMsO+Q6JGfFb+C/yj8Mew3/X 8kDmY7+vsL6/z2Pzmdy3x7rJGhOcO0H7zP8XV8w0neQ33BN+nHUm+q7xXRPs Q6+1jeJOkbtxzUH7ePtZ1h/jfckrsNV8+5N1apxlHtzxPhd3vMD3jl4ed6zC vXPn+CzyP+qY+ALqcdQIulzDwc7i71iDtbCfT2Uj5uBeyLtYb34xYgLsE/Jw u2MRfNyebPwGHutc48fq76Suq33vUP9DtQbte18l6nvA1Pj+phr0/Fjj91bC b0yrRi3uf+sjjyQXYB180NpKjK+phC+GfuSWmJN8hlwGWwo9xELEHpyFOGp1 KfIm8qcdroPsdN9h+LmmsH3YPcY+7PFtzgXJw2Zq/nCNrygFXrvzN+IQeMhd HBVPDmcjj0D/uA9iQuQXm44M/yIbZ4B+aFxqnmOzGcdud1Tj2+GWWO+Q19yV jTVPufbGXRMb3VOKmgC1gcurwZMfVGLeYdcrcpxfcFMasRIweemXStFn06i9 sQfrF/X7l4Kb04hL8IXkc8Q96E9B8NN+p+C9gjyA3IDYAF9HrY2Yeb1rUQOu BxRcQ0CWkfWCY+GC82Xi6z845iy5HkE9gTt80Dlvs/WkVpOgB4/4nNoHdY/X WsL/nGgJGvEB1Mw+yPl1rq+WIm4iJqNe90I24DaPveBa3j7DjBPXIffI/MFs 3P0sz91rfPjQ6vyI2tU+z8X+cB/YeeIyeAsf7yxH7YLaBnE08XQtrt7vGtcB w8TY9C8aJk+CDmjgjeKAxzk/9gPbMqwp5HaDa0Vthj9bjByBGuqTgu+jdipe rSmFLlwtPs0sRsxPHXq34AHh/FY415TCXpSEUyiH3FC7TcvBI96O/lbfhmqd z6ah89QgqauSfyVNYfPIP8nl1tSF7FSaQn5uLUUMTm0Sm0h+Bv4tpbjTCdrn 4jTWuVljnWnYkJNp4L5n/AHvwfo3VKKe+HVsSDnuhvei28vmXTXeeIDnCWdW KXS1UWt2F6POznvIn9Ooa/+P+jXlqClRW7rD93iT5q4tR22KdwBq2fAnL/yv F8Ou8Rbx+TTuZob6BcWwfXdp/Dvad5zGv5xGLYyaGG8Ob6TxLvIm9Z6W4Nfp lqi9wsPp6semcfZx6k+n8XbyVhrnb3MtmDgMnnAfS83nSeWoM61zLeqAbR9j nU1R+8YeUv8GfrkuasCsMd+1q4csX9DeafyxhsH/dVN822kb2245fMk6vc00 DvP4xeXwX1N09r/3Gc5wF2nY57Wls3uwP/aPdfabzu2m6+/SeIP4nPqpacjY 8lLQdbFp430CHN4zj2UjnutzXHfMNdhXDTNO/xuPf6MUtoo63FWeQ5x2WRqx 5ztp5EjIJfZsThr7flfzLkxjnRtKIUeven3k6KhtPrEacdPoctg48r8z7k8a PmWYPOsm07O5HLkTeOSJfD9t/K25yOEnOG7EjpHDbs9FPIq/IHbud9yO3WIc 24UP/7Df+7C1rbmINX5ajn5SNfw3Z+a8+O2L/B73aX0bw97lyAuA4RF7dRge 57fazmrQBQxtl+h3VfC/am5XNfadXI23ZHz+tmLkoH3OSaGxw3SOd80LeYWW C00P+MDYDuIaYl/iHPzVPMs2cr3KPgz9WOnfyMpKxwfwCR1Er97xvT9QCfvH myjx14DXgwbiZWp2xMy1t5x5tl/QQkz0VzpXlty6HHN6bT+J4fpNx++F/59a /3f2aY83hQ+6vxLvQY9r7kjXyv9ZY6+lISMrBC8ohdx0pEELZ293PEgesdC5 BrJHrEvdZY5rL+Qv5AXgkF+Q69TqZ/TkSHc5nvs31xKpH5BjjXQOSj7E3zLc 7RoDvoX3V/a7IA0/96E0/BKxI+91Q83LQf5bg0GOCXjfPsf632lcYvi2NOKf oeo/Uo348EhLvPljL7AVjbngM7WaBc53Bhznb3TuQx3iOtcizstFbYK4lHFg eEpfNQyvqFVRSwWPeegg8ex5nsv3smV7seuy7MXfW+BDr6vEuwh19xs1dq// /oG/g4BGaKvlqfS1vJO+llOv812Qd/zGOe/7PK6PWgQ5HDkt7ysX+e8Zhqt/ rBxvBPwNC/EpdTxi1325yM+hibwcmD2oOZOvk6cwts+1hfvKEQvyflV7K+Xd EBtJToudPOE4Dd8+xnWAF7zeEe/1wXL8LUVfJfKhTudQ/G0B9/3HlsiDXnGN Apxjpoc1jnodeHDMuRK5Hu9XxBdTHJvym7+DIW94vBi2BH+K7W6vO/v2xRlq b6HYxe3O4bGp2FZqo+gV+vXHNOI1vhHX9Xpe7Z2ZHll9vSXk9rZS5DPEwuSk 36vEXXAn1FV6XFOi9nzKtcoO04W9pb5xxGcnBu22fSEP7/Id7M4F//Ff5Kyj fZ6h5Ygpef/fY9ngfrn/RusIvvfX9uNn7JcvV/9sLuQJWaJ/1vUBYs/n7NPJ XZCx066p8vc25Dv4/DbHafPNX/h0vv8m50PV8JnP21+Pdr3rV65dsR82hbeR PaYZeqGbu+TN6Enj0D9le8T8PaaZ/nnDfH/aOPzdDPZlVhr2FLvK33D1ey1s GvWQp7w+fN3tes3/Ab/BECQ= "]], PolygonBox[CompressedData[" 1:eJwllnuQzmUUx5/BbO9ebe/7e/V7XWJdily6sFQ0k0qiRC6laHbJEJV7hQrt oCVbdjeLXCZS/VGZmsmoGULFVCY1hc0l2kmYxkpZY6TU59v3jzNzznMuzznn OZenaOyUoZMbhRA+BJoAP2VCGF8YwsUrQqiIQpgP9GscwhjODsH7uVkIi3JD +CEvhAmpECYmkYO/pyCEcvgzoXdC10FXQi9Ih1CfHcLqRAhPwDuG/gL0v0Z/ HPoTOJuO/HHo9nEIa5HPyQlhC/Lz4K1Cpld+CMXAGPgr8ScH3l7sL8Z+LnQt AQzHv/3Qa9BPoP8l8g3IV6PfDbwL8Aj04/D34M9sbIzA/rPAYe4/gb1q9Kch /yu+LIdfhe3+wPf5tjEa/a3QXZHtAgxE/knsnSBXdUCkXAHfIdsBGIH8S9Dn 4X2G/ALkS7nvAvQhfJiJ7nLOTsPrSPJnw5vN/Q3c/yfQGf156J9GfhsyZcje CH0O3Tfwby14BTbq8D8D/zb4Szmb09hvqLcchY2u+fZJvlVGju0kNuahuxG6 OfRx9KsyfmO99SnufBHeAGBfvt/gMWxNxsd3sL8P+aXIbsRGU/L9DfyL8Dch /17CMSiWOt67nPc+Av0U9Fz0RxFrWv4g3wcbMbaaA2/rPs6q4F8FfyD4Os7W JxyzYt/AfbOb+A3uRbcpMrX4eiQLv7G/DZluBa6hdWnHqFhrsFEN72PlL8s5 V+7vBiLstYfuD94X+ADZIug7wY/g/1z8347/JdivSPlt2wFDuftl7P3D/buR X5RxTag25IN82QxcA/4vPlTjSw3QGN++QP8s+ndkfJfOxFsJ3VDgHClXyoly 04D+EvjlKeduAz6dw7e+8C9mWUe6j8I/CL0Xn3Kwn4TflPcawZsegD8Mmwfg 7cLeGOz1hF9EvO8CldCD0GkEv4g7HtBbpO273nQWumuQT4LXcl8F9o7iQxm+ 7CI/Y7n7Ovj13P9gU2zC7wN9AboEehP04rRj0ZtOw96Q2Hd9C1wC763+0iBS zUH3y/htlEPl8lUgaDZgbzO851OWvcz9PZBfDv814l0If0vGPaZeK0dnNPeV RcYPctYS/HZ0eiScw7KUY1AsqqlC+KnYs0o5VC5PEm9lrmM80cw9o97RDHka +yvQz0F3CDZL0W1o5reaSUx74OfGriXNLM2us/DXwv8Le7+D34W9y9muwY8i 97x6vw/2R6E/jXhqsz0TNBuGx65F9cyw2DlWrpVD5VJvoLdQTjpFnlGaVXnY vD7jGa5ZrhkWwxuMjTb5rgHVgma2Zrdi3g3eM3au1TPF4JXoZyF7HzIPQ58B zuV5JtWD3xO7l9Wz/cHn4/+pbO8M7Y4Zab+Fdox2jWakZuVD0CXwn4O/LOEe awv/GeglCc/U1tC3IJ9GvhT5cuiboAuhO0PPgi6J7ZvepAZfu0N3SngGzEl5 5mv2/98DyI+UzwnHtAz+Gd6kOOEargf/I3bvyoZsnY+9a1RDqqVu2knYK+T+ 6dibkPauaeC9x6c9MzU71UOrI/eQekk7c0rSO1O7UzP5Tfil6MwA/xH9krRn jGaNduY45P+O3TvyWb5rB2sXa0euiLwjtSs1sychP5GYDvA++4EWsXtIvaSd 8UrkmaDZoDsHI98BfqMC97h6fWrSu0c7Xbu9BTo78m2zZeyZo9nzKWe/gX+i GZjwTh6ArVVp7zqdvQ6+I+lc6U/QBf5bkXeZdoJ2w/uRZ5N6ohd4MWfJAu8U 7Zai2LVyjPvbxv4j6K/QE1hJrNvR2ZrwjhqEbl7sXfE58gXgL8BfmHBPTcWf /Ng8zUjNSv0Z9HfQDq1Kecdp16lH7o89YzRrNJNqIu9s7W71wKyU/zD6y6jH v1Lu0p4F8mk9eK+Ma1cx3az/BDqH81zji9QPKc8G1WBfbM+I3LuqMdXa1bFn w0F0WoPvTLr29Ue7AX47zn7J859Gf5srVa/gR4lvJLKtM66tS4oJvFXGuHae dt+1GdeuaqCjegv9o1m2kQSfmvLfTXforu4Z/x3Ugz3A28R+mzpgCrK3Zvy3 VM/2zvhMPPX4ksh/BP0V9Edqo1keeXdrZnSMXLOq3VpgUsp/Pv39tPPy4LeK nQvlULkcG7sW9IfTX047ULtQMaQi25At1cDcyDlRbvRH1F/xP9dFkcM= "]]}]}, {RGBColor[1., 0.8724604421161561, 0.6046133289677929], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmGmM1dUZxv861+Fehrlc7v3P5N7QOqwzaIIsJjWiw8iWtGntpsNi02hM TcXITm3FVpFWdhe0bqgMzKJoo7bYtM7GaGKMafvFDZS0qV3SD+rIIrJUbPr8 eJ8b/HDuOff8z/Ked3ne55zxN674/vLzkyT5un5qVHdkk6Sk8or+/C5NkhfU /kclSX6j9nNqP6T2MX17T+V9lT+qf5/6B9R/aTlJPh+VJEdV788kSUt9kgyp nqL6Yrfpm+L2tlKSnDciSb6p8Reqr0nlafWfzCfJZtV7VDoz0d6ist3j52vP LvdtVZmWj/nb1e7JRJt1vq1171V9WvXtxSR5SXI+LDkvsgyMWahvzWrfr7Wb GSv5W1z/123qM25/7v682k9Ijl1ac7vWXFpIkrtHqy2drFe9QaWnJvbgzMj1 S/czpqMuSVL1X4vMdSHDbrUv15qXaM3nteajaj+u9ma1r5Kc9Rrzmeou9Xer f4f655djnU2l2J+9t2n9T1TeUXlX5VmNf1bjezV+jfZYonKdykZ9W6Tx96je JRna1becM5ZD7u+qnqe5czX3W2pfLD1PUZmm/6v0fZHKYusXPXc3JMlMfZ+u 0poNm79pW/9A+t+ovg2S4Yj2O6ByUGW0+hZLhg61r9eYbfr/q0rIRf+umqgX ecylWu9tlfe05o80fofGb9T4Jsn511yS3CYZ3pAtbiuEXyAHNb7RlA2dDKt8 Az9Qf6/mjRoZcjO2dmSckzNyVsbM0dzVPiu6+7QxSb6olV2k86u1zgyNGUrD F1dmQjf45gr/36dvL2q9/krIhn7Q1+uF2IP16Zvh/gka/0+d5Q6dZZTOmq8P e83Jhn02qcwbE+sTG/3Szal8xEZdfcy5zrLWuY1e/6Y1T2jMLZL735J/rOx2 h+auU1kpnVyrslxlmcqVxEYmfOITzemTrFeo/4j2OZwPv109OvqZt6Um1tmq ekh9t6u9UO0Z9WEz7HVDOdqPav/F5YjDM+UY+zOVdo3/T238b7cs9K/wOtPt Sx/WhtzIzP79lm3N6Ggj1yPy5w61H66LNfYXYh30gV6uykQfsiLn8RGxd7vX 5MycCz/CZthltn0Av99ViPXHZyKWiZ9l2EK2u0y6blPd6rHoETmYM0HtNtuG tZ4qRP94r/mUx2Cn/ZZtr+ZOk9y96n+1EGdfpf4flqP/Yenzmpo4NzJjW3Qx S+3BTGBldyZ0Qz+66h0dtkRW7Hmlbf2M9upT/bbKgPGX+fu9BjjW/yVs/qg2 cAfMQecX1MdZwNcWY2y3MRE8XFIOXNhRivWImW1gZD5sg12662J95LhTMX65 ZHysEnpETvR6MBNnQy78YoZ97IDl5ttM9w95/HSPGXKbueDTTI9512dj/jve v9+2arPPoL/V1i2+Qc660PjOOcCZo8Y2cuTaQsQjZ6t3bM6x7Wd73UU+E/8Z Dy4w5rDxG6zcZlwBh4alq09UZoEFwoiX8f1i+PChUeHH+Nuwx+yU/j5W7Ndl Y5+JKpPYc0y00Sn54fNcYORsf5+scmsp1vtqOWKcGCLuyB23GitWFyInkjPB 439pnf9JllWl8I+JmjtB5QN9H6/6zIhoE8ebHeesOzWNfLAzDTwD18C6NsfU Vap3NgRGP94QZyL/ci5y5gXqn6r6Tc19Kx9rPdEQOvi58z9zwXb8H/1coW/j ChHDYFpvNvIBuQDucyYX+eJPxYjv9cVYmz3Qe0dD9G9Q/8ejop88tach1tmt epLWn1gIvyZ+XykEVqKnTDZ0dVdD8IId5COtd5++1xsfcpnAhOM10f+p8zY2 YC/sVJeJeadywdPGquy2nTYhj2v0jW1Heg4yD4+Ks+Az7INOmMs31sdHcp7z gPa9f3TIAlc8lgu+iN6zmYh91mNub03ICk88pNLp/fGjTnDHYzbZj/CDpnL4 8IXl4GOcCT08mIYv4VNwoo+079P4TSn8aJzGT9GYWn37tXnZ0VzwWOKWteBv Xer/TP1l1T3Z0Be6gk+dzIWczdngTyMyIeOw5dyr/hMa87b50mf5sH2bY4U9 0A06mpANLCBe4Vxv2h/R54B10VUTfBBeiNzMacrHefemsd8HldBxt3k5uhyq iXPdUozY3lIJLtDuXLO0GDpaL586Ia7ytGQ92Rh4f9SY/5axHpz/SzH+36O6 uRD5hlwDrz9/ZOhhgbBi/pjg5m1jYi38BF5z3sjQ2SMNwYvnVgKzOOegcXC/ 5QbP+v0NG/TVhD5f077j8jEfHYAl6OFIOfpYGx64xJzweDkw8smGwNpB77En DRu/XAnutdD4uqIY/npvJfYCs9jnJ8XwgwcrwQ37LB8YQU7Cd8BjcJn/E/Ih J7ZCrz3WFXqbXAidEu/0w+eRifzX43X32PZgTlMh/Ig9d/vbZOMEuefPkq1L 7eOy3RvFwLF1qi9LY//n04gz5uKf+CPrwRE7zCuIaWwF3mGvIctC7Ay7H3+g zdgrPJdcTizD/cFhuGWXY3erz0RN3ufus8F3DzACfk8OPJ0PHN9t/CCf8Q0s xI/I8XBa5EZm6hOOKfz0iHlmnXMq984dsvcXioev+T5KGyxin9PmwPgq/8kd 6Bh+0+7YvM/YBa4cMz4NOhY5E749e0zMAc/AAeSGp79uH1jvXAD2T3LeJq9y j2V/7qlVTgAGwOXJi3C2krEGnGkxB2HcsmJgMPkc/nujuR+5bZfv4+BZh9vg H7GPHbkDwMXQ598rga0dacQX7V7r56RtwX2VNZcXg4Mhw6C5zQ3m0tyluDMg A9jCfYZ9iKmt/r/a54Ob9Njv8V3sS5u9uCeRU8FA7izYBFsjy0SPgc/eVAj9 dFmWAa/Z7fhiT2Tt8jnhZcQIeEy8gyHch9Ht2mLoY8DjqjLtqcrqtbZ4vU77 7Ej7KXhG7q/mAfwADCQPwpkm2JeIwXr7NfMYh9/gP3Aq+Mg+58ac5zP3Guc7 +BNciPwFp4Lvw/vhQr9PA2vmVwILmzPn+MB479VqXyVmqVu9L7FS53xNjMIv iFNyzONVn6lEm1zxUBrcAw6yNQ15yKvVOK/GfdeXcnjnlzjFHuPXMccVe29w TgNrvlcOnnx1OXgL+H2PeQVxg8wbvQb5kRhlHWKTuxu8gHvZ/jTwYm4abwnv 5eKeBh43GZPBcfC8W2M2lIJz83bC3Ztc9VIaNsW2w45/8j+Y8KJtjq3JBU32 K95N4MfPpcFzyR3kpEtsW+yxrhRvQ7yBHW0MPnmsMew01WuyRpP3PdUYefZ0 Y/gp9xbuH10Ngbm8uzxQijsyd2ViqNVxtKAcdyLuRh82BlZ/1Bi5DXx4Mo3Y 4A5Dfmcf8hI5nrvazYWwNzZa6vbdboPh4D0yEKvvG7PAK/rmuJ83CWTgbQHM Brv5xjtG9d1lZUNgyS/SsMlYr9PvsyIf/PpZ66TVnIkzwnvgP8+kobO9tgVn aXae5S2SHPDTYrxRErO/TWOf52zTdc6b3AOITfIBOYU8SbvdOWKc+7HbOOfl VcYLsAdu2JM9xw9fsMy8C3KvaDHOkL/BK/qmuZ878SX2E7Cq7LPAUfjfmcZ9 btjcjFzT4jeoPvMkMPxqx9F3ypEXhpzH4Wgv2sfwtX1ur3FOmVKO91n6/5CG jM2Wc14l4mdOJXTKtz7jSZuxBZ/odq6/z/y/3jh90L57l2NyVUNwNLgafBfO CO6TOzamcZfkTnnQHOGI8wtjyAv4FDkDvzrg74cdo8TqIeeyBeai3OMPOofx RsD8OWm8n6LzWWlgUK1xD73C5biPw8k/9t2He/la37vBtgHztS7zgwHjHH1V vtZn3oW8+OzZWBgRmH72jlyJvL8tDQ58zGd+37jDf+x5m9+XbvLbDvj7rs8N VqHDBc6dN/uduXqvpl5ZincfsBCc5J0PGZCFHE5NHicu2QtuQo45UZUzG3OJ 1a9ozWG1x6bBm1c55y92vuc/b7jMwea8n5G3zr7fZcKW2HGh5/Gf91zk2JTG 3avTMQCuX2tsZ//jlh+7zrfPvGMdEGvzfAdBD7zjE2Mva82LynFHaylH3iBX ch/jPWOvMZf8AG6TS4fMq+BR4NUbfiuGT9XZT7hT8f8xrf9IKd6Iri9H3r7G cmPbs+8cNcHX4G3493LnSHIjsnCH4I5InL1WOCfLa84jrME7APG1wrl2s/nB RufKZV6P/9wp8CdiCH951e8J3BV6HT9HfE87bBxBBrBo0PMOmBe8Yt6FzXk3 5F2r1XEPVyG3cC8AQxnLHHgBb2DogfHIjh8i/2Sfdbb5xyTzHuRjPnOpX/W+ 6GzI/lNnu03yePSw0rGHvMTEEucHfHGa34umOsaHqrrJhS/hUzf4zZOzdfv7 YM25uzQ+MKkcZ/hxMeKbfap3QWqwencafgu/vjON9XhHz5mTked5T6d/aSne Wvv8Fj3kmMdm/wdxgsdX "]], PolygonBox[CompressedData[" 1:eJwllVtslVUQhQdaasGeU3K6z8nfRAUaoy0mXIqK4IO2VoMJXmMwxAgENV4S bkYhIhClimg1tiqUFkLBFiyINzAImKiPRn0RX7ygMWp8sKIW2wK2JH4r62GS Wf9c9uw9a+aftnzV3SvHR8R6pBw5kiLeq4wYPyniOvSnixG/TIxYUxbxInh1 TcRABb74XJ5FfMa3xnxEFf578e0GV2M7ybe22oiFyKy8feT7KPG/EX/6oohL iH8VfEUuYt/FEcOliE3gCeDt4D/ASwoRQ/h+Sw2Pk3+Ib73YLpDjX/T55JxR 6RjFLiHnbPRG5QCf4vyHJpML/5fwbSXfnnKfuQjfF/jWRvwp8k9JrkG17EdG 0C/F53div6/Cjn4nsp/4KcTfhb6RfPeAE7gFvJ3z/uKuc8n5MflOgNurqZv3 OwSemrmWn8lXh95KjXliq5AbMov0HLIZ273gevQGpB28tcZ3n0f+m1V/jc/u od5B6p2WOfcYb/YAtd2YXMsgNXVSSz32Y9RyGp8G9A7ip+d8hs7aQMz8ct9B d1mL/W983yTHHnL9xLdHJpsDr4kf2Mew/4c0Zhbpo8h6bEsz9+Jr5Bb8L8v8 luqpentl5lp0hs7aiM/11LeMM76rNYfEJdW8Qr0rmmvHqedZ8DX4j9G7d8Ef oC8kXzP6OPK3ke9avl3AfpBvb6v/xP8J7gY/VnBP1Bv5dGBbh/w40ZxYin1d wbHn+PYytibqmUo9dciHxHZyxpycOSfutdTaVkfMXOyHwIurPRMzwXdk5s4r vPHtmd9Eb6MeLAYvAH+Tc85lme+ou4rzX6I/J0zsTOz3Y2+nplFqO4DPAWK3 gs+Ae8Cr8J3Ft0HwbvBOcR37MLgXvBc8BxkB94P70d9PfstxvPE2fK8Gn8Xe pxqSd4J2w2HwR+g78JkwyTM4D9zMffPlfqObap1DubRTDmN/K/ks1azaT4Cn 41uBT3fRM65Z34LPfdR/FfYBcBe4M7kH6sU+8JPYd6knnNdAjls573iyXo8s APckc1d31t03IL+q13x7kPijyXfRHXQXzYxmRxwQF97AXoG9lR4eJd8TBb+F 3lhv3Vd0L2dz3m3Ynym6VsXU6+zkt9Yb6621Q7VLtZO0m54HLwIvB/8AHss8 69oxo+jdfDuf987S7uoCj4CbyPlJ8kxrtrWDtIuakneDdop2y5mSd8MK7F9g Hyh5t2rGPwd36E3LPNOa7bVF70LVpNoOJnNLM6ZZa04+WzPWi+8x8JFK7wDt ghng3WXmvLi/K5mL4qC4eLbk3SoOi8u6s+6uHbtFXM28O8Shf9BXFsxdzaxm 9+GC/z3qoXqpnqg3usPrxL+TPHvaudq9nyb3Rv8g/YvWFM0t7ZjV6DuSd4E4 Jq5tq/Fs9VPjOWodzryLxbGhzDtJu0n/sE349yVzUTOiWTlfcuxJ/L+i1rZk rukfWpfMSXFTnBf3NxfcG/VUvW1J3l3quXrfVfRs6I2fwvd/SQcfSw== "]]}]}, {RGBColor[1., 0.95, 0.75], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNlstP3FUUx2/KbygP6+DMdDpDodQVutGkynQwXRjTxEUtFEhc0MeiiwqD 1HbjSqXQMmiHRkuFAgVadaE1LuRRICFx3bRUwf/CYqyatNbEheeb85mUxcm9 v3vP43ue9/fi6Q86z+4IITw1qjDaG4XQYvS6UWl3CL/a4c1UCC9UhfCoOoQV +z5k+zWjovG8ZndZ239t64JRpZ2Nm9yk0X7bL9vZkt3vrAnhQJXfiedHO5/K up6hRAhfpdyWbH5h9Lvtv7WzvFGz8SzaumxrtenpMvn/KkNYte/3I9erO51/ Gg+hr8516f4QPBv2XWf7TVufpEOI7Qzhsa3jxj8Rd6y3U25X9ocjl5WP8nu2 yn2fyLqtjxKO/fka53lS6X622n7M9J03DFfjLvdntdsW9jw4W8zWftt/b+vL mRD+eC6ElzKO/7O4x3TW+C4aXYr8THfyq990l+DRetloy85HbT1b5z58nHBb 1w1vJzGS3Shy/ljk+K4ZNUWO/QD41032dm0I/1p8itjdIn57iOE1fFQuS1n3 c9p8OVfn/ss32RnFVnfcY604X+FcOIVPON9M+dkVZEv4cnmbn8IwQn6L3JfQ 84vpvaN6I/7nwHY44/oVD8kWqA3hrSOn67tCaNjleawwajRqMNrBqp4YBVeM +CmOwvOwwveS+63CV8ndMBo0GjL6jh5Rryh+yvUjq5dX6asfLAYfJv2sOeP+ Kebl2Eu2HH/VsTArd/six7MBDtmfwabqpt582mt00/Zz1JHqOk8+lGvZkOwm OjbYS64R2Qb0KD6fJL3W38AXYRZ/f8JjqlpQnrupqxO2Hifv3exlV/13xPhX bf+u+fy27S8m3PcR6ryUdNvvZNyOzmVrOuv8hw1DtelpV01G3u+1Nd63wi4e 4T+ZcVuXEh5rxfwVk/1mt/fvW7ZfY76ov4vETrG6Vet6NW/Eu04cpowGjC5E 7pP8VFymOVPuR8ihMN9KuQ/Kcx596kf1mfDLD8W/SJ1fr/WelM4j3CtW8kmx k18FYiW9mjF7qOlV8i2eL+lx9YLm6Dh5aaRmVbuaD5qRfUanY8Zr+k7GvL4i akx4xdO1rTckP88c0zyTXJPRqZiv+r4X+RxboTdj+FGuyVXucugVroOs+6hV rcLcztuU29Zvilkb71ULulQLG9IHBvmkWaU4qG9a6GnZk5/CO08eu6nVZXRo rjxMex5U+9IlmfuR15Ny80/aZ494fzZaNHqgOaq5ytkD6uKM0XvYzoF5A3sr 1I3ue6Ahzp6mvQbGk56nYfp5E7lVzvrIZYF7zQH1wzDnvZwNgUv4hF26N9Fz BqwD6Cig9xiYlZ8V3uU8eT9FXNTDqlH16AIxUKx+Svl7qTdf/A3Uht4c1V8r mHrAWM79QeIxCKYFcjaPH73gU25V683MgDXefr0Ro7yRmmH19O9j/gE+T7r9 PBikfzLy/hbv3LZYz1HL+pdZ5r3sIDYFYqn+v4H8Ivo68COPjzPw3GGdAb+w NyE3ha4VbMq23rp+3vcJ3lPJ3Ev4nPrbfGpNef3q/+sosVM+z/MuV1JrM+iN iLX6bYz+UL/fTfgM2kr7/VXmhnp9DB7Jqv80r44Rg17ys0Dec9RNuXe1thGP Du6E8Wj0rI/b+F4nfuV+WiTG5RmRI1fimcenZeI6SGynoSXkL/A9Ra21gWmA s0ny1Ak+zQN9N1Fvs9hpx9eyjh78KOd1iZzV84YW8FU6j/NWqN7+SvtsHaGv O6Jn81hrF3bakf8fdkJyUw== "]], PolygonBox[CompressedData[" 1:eJwlkstL1VEUhRdp6vWRpsdf95KCjkwwmloTowQHBoGDRjZpGFwVmokDEeIi Kk16gCI+GpRB0EP0xo3GEo36B7Rpha+BGjTwW+zBhr3O2Xuftdc63Y/GR8Yu SOojqol7eamjSfpB3E3S01bpfp200cAZ+Xyb1MndVWKY2l8FaaJF6qLmI/VL 7VJtvbQJnqT+FmcnNdJos/Se2hL9/8H93A/SP01NmXyV+d/Jt6jvgshL6r9S vw4ucD8LLoPfpXhrAfwF/BncA34OroD3iGJL9Lzlbsoz64KTuc2AK+AG8Ap4 hZqfVdJjenYLwdncX8Fnh/wZfC/WSkOcPYDvC3AOPAx+CL6dYpcc8wbIF4ll 8EFOuk4+mKLXmlk7a2btrPFcW3A29xp2/uRduD9An/1GqTcfHtiLS8x/Dd87 KXLv8C2FptbWmt1M8abfvsz9jRSczM0aVFLs7N2tubUvgQ9zwbkIPs1iN+98 Qn6chTf27Ij8DTP+VoXG1vpaPrheoedJa3hkr6zpWgqP7JV7NlJ4am/t2Tb4 XxZ/y5qeZTHDs8zJ3P5k4YX/0O8sPLJX1miV/g8ptPMf9F88B+zJZtI= "]]}]}}, {{}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVzjkvhFEchfG/r2ALpQrFUIgEDWG6USkkimn0KCQKQcSSKV4JzRhGMZbC EhJLYglRi/gOM1oqEobOT/HkyTn33Pu+LeNTI5M1ETGG1dqIF/w2RvwgXxeR bYpY0VXlb3xhXT+qX9YXmyPS9RFruowu4WEe0h00RAzyI7btluxLukV+xqe3 PpBzJ+3OvK5gN2Dfj3tsynP6Hfdm+Qnv7rxhwb0+mzObXt6yueYH+YZ7cPX/ jnzJeefn/CpfcDdOcCcf84bzQ67IR9yFfdzKe5w4L3FZ3uUZ32/13+1ow7R/ y9lMcGJTtEmhE6dyB/8BC/k7rQ== "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVz89LE2Acx/HHfyE1krS55SHoEiZ1zNkPJqRZl5RgEwvEEZuKNmo1TfNn Bc3pzPSguFt1i9Bd9N5fEIV/Q1Edog6+dnjzfr6f5/N94IkOZe9k6kIIGzjd EELzqRBG6p05zQXZ16YQnvFoYwhjmHKekd07EcK4Ocln9CNowUN78zrfdOb4 kU6EF/BCltLPye5zVD+GVmTtLet811nivE6MX2Je9kD/qWyY2/RH9c/yGK/o HOkUeUqnxJ/Nq3wO07IRe4uydfN5vMWSOS2fdZ/hV+ZN+QVs4bU5W9tzP8FF 8668AxWsmCdre+5zXDK/l19CUfaBq7KPfBnXnD9xnK+iC2W9H/7xExfxxH/a Oc97ums6j729ofcOVVlCts/dvCX7rf8HnZixd4VnOV77p07B/nXZouzXSX18 kT3Htv0dHOre1D3gHq7I/trpxS304Db68A//0Y833rzLRR7gG/ZTXDYneZ0H OSE/Bi5oWIA= "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0klIVWEYxvGvZWlWXguFBiWatbIcGmzRQk1bBKYgZuq9RRbWbbgtrjSY ZVCRCg4NC10EtQncSZuC2ggtWtYiGjeFkRatolW/b/Hnf97nPO93zrncktTZ pvSCEMIbNBSEcKwwhIeJEJL8gFNcL2/nUXMbj/ARrpW38KC5iZtxGP/QgEbU 4UA8A3/xaHkIB4tCeG63kV/wpGwCffkhvMbvFSH8woBz99u5JJs3z+En+uQ1 9qbs7+VqncuyCq5CJf7gvjPrdOpRi2ndUdkIss4ck03Jeu1u0c9yKc9jLn6X 3j6dxzo1/ITvyG7jvP1h2aSsHBMYMp+TD7jfwzP47n2/IePszTpPdTZxv844 PzPf47UYxrR5iK+4f5c/mge5BHvi92I3bpmzOtWud6EKlfjqWWc8q9j9m+Yu 73BRr51vmK/LVyIju8bvZf1chJ2uK7ADWXNap9z1K7vb+Yuzu51dGN/f3CY/ rVNg3mbO8Fa+wD3yMtcvdUr5s93jdhN+13z338kS8f8mWxozLEOr/km7LXxV J63TbT6BDeaNWI91+OTMVNyPv5e52c4SZyRluZyHxfE/KU/aP8S9eqf0u8yd WGMuxmqswgdndtrPsZej91aWyx2yhbKjvIh/YBb/AfOVar4= "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwVz9dLl2EYxvHH0tSgraY2wEoPon3U0nYUNFXcRRpGU8McWK6GRkJm5Un9 B3USVEfROIiIdqmpFJ00oCCwCNrr8zv48n2v67nv533ftLLK7IqoEMJnLBsb wuD4ED6hLymEuJQQrunieX1iCEUJIQz3XMwb5Q1Y6fyH+Z/4js3jQvjFq/R/ OFv+zTk8xF63/Sj+q8vVDXjPKN1186M525052GrmgLxanyuv4ZBsF//s5kXu 87xWH8358lAu4Bi7PXajOUZXqHvhPUm6G+bHc4E7S50ney7jIrkQ65zH2imy M4yLOc55r7lYjtOV6F66L0V303wql9gtdz7B8w6eyPG8Rb/JzEF5hLzN7iu7 afIt/ZTI+83sdjbV8x6exiN5uz7PTLNcKY/BfrTI+fpdkW/mRN+UhASUu7/G TL+Zat5nppYvy3WciIMYkOu50vkhviI3cCqO4ap8lGucT+IL8mSucP9r3/8G t727FPWRf+fjZjoj348mXTpf1GVwlb23dt7hjtmdOGJmL7ebOWemTW7FR/8x Q87ganvpXMPzdJ1mq+xM19Xp3rvvA+7qatFh/xQumc0yuxRL0KUbtDMLszET czEHX7AACzEfje5dxJnuyOQWeTEf5izO0q/gVnk5t/FX/oaTvqUDh3BCf897 7+NB5Lt0DWjXP5Qf4TE6dY2RPf0T+Sme4bSuCV36brkHvTija8Z5/XO5D/04 q/sPLkqB4g== "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV1OlzjlcYx/FDCEKSyoqxtmptS1v7XltIUIm1g7Zj62I3tqp3eMUfYga1 tmX6om0sNUNbsUVsSSSREKJ2iUT6OS+++Z7rd133Ofdz38+TXkvXFaxtEUL4 zp8RaSFcyw5hUnoIF7NCKOsUQjnq1Xe5WO86ivSa1SfMh84hTM4MYQrmZ4Sw Xj1SPlU9im+Yv4kS3MYtjJaXchnuYLL9y3mMvIKnxPN4KlfyWPkG+zaoc3DJ +RXOr8QbdZWZaXxZXiW7hxpUx7VeNa7otbDHSXu15Bz3t8D9Jlgv5OnqaRin f9/8A9Rgun1rebz8EeeqH3IeN8Xn5PpGrpPN4KvOaSVrjTZIRK598/CFczaq J9hrhnoiP3XdMzzBTNc/j89f/pJnqV/w59yMIte+5Vey2VzsrPay38x34Nn2 XOyMZOslnMKB8+U5ZjapE9TzXFvi2o7qNGQgHfPMfaWfaf01L4jvFLmu3Sxb JkvEcmxR58kX6c/krepv5En4FtvUs+Rf6ufzj+rV8lSswQ51gXy5/gpskPWX DcQAfC+r9f46oTOysdJ9d+Ess/vMZMezZIVmT+E09vhc27BKfkZ9FoXOWYIf 5Nvxl+xcnJctxXbrlbxX71frvvadiyPOmMN3cAG/q//m8/gXf6j/4VIU4U/1 Jb6IKyhUX+YynLIu56uoc8Zj/If9aOd9to3v1Mw1/a7uo6u6Gxerd/ITc09x AO31kpBv/rp+d/1u6h5cot7Fz8w9x0Ek63VAgfkb+j31u6t78U31bn5h7iVK PYefuIxTzLyyfk//XdTLevP7eC2vR7nsEN/lVPMN8fnp90GDrB/3xxt5Iypk h7mS3zHfZD1Qf0CckX3AH+KtvBlVsiN8jzuaD3qD8BEaZYP54/jbRktUy46a r+E08wmyT/EJmmRDeGj8jaI17suOmX/A6eYTZcMxLN6DbASPRBu0Ra3suPmH nGG+nWw0RsX/ibIxPBZJ8beJR7KfzddxZnwPsvEYh+A7OoE/QzJS8NjcL/G7 wVnmU2WTMDF+RvP/A86Y1Fo= "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV08d7VkUcxfEJQVBskF6woFsVlWYXsFMCBFCx0SxgSVzpxoW6sfwLsAWF Rwm9qJRAeiWECGn0IqiPUhMpwc9v8X3PPWfO3Jl737mjFpWXlmWklL7w82BW Sj/lpzQmO6XqvJTqClKqxzn+Z/lYWiNvkFXoNtI18grUypv4tfLmUNk61Mmv 8+vkA3RSbkqTMTcnpbLClB6SP8c/TDfob8R6bMYmPCLfSrdhC37FL3hUvp3u wG/YhZ2xd/luOt5eK+kEuif2Lq+mj/FV9PF4FjpOXkef4Gvpk7Q+5sfz0af4 Bvo0vYRWe75Im2TPRNfz7fNc7bjMN8ufjTny/bIO9PEt8om0Uf677AD6437y SXE/+UHZBut20r3yNjTLu/iN8m66T9aOFnkPv0neS/fLOtAqP8Rvlh+mJd7z DExBJZbZ/xZj93vnM/m1/Cw6FStku+l22R46yL6WYTl/yJzlricjE+WyCbJS vZusOxRDcMFYm3W/s4/vMVpnPc7HO4jnQivGxfum/9Jv9L5FpfV3YSc+5z/D A+auif9OtwZfyv4xZ7p1K+xhGu1FPXbwDbQWq93jb3wd55gvpsX2V0Rr4p3o ZvKDsUrvL/yJr4xXGy+kRcYKaBVfon/W+CBZr/386LqHnqF/IF8vD/2yHJqL 0/IM/W7ZD6676Cl6EtnGs9AnG05H4IQ86XfKVro+SI/HOtbPj72gEHPsZTY+ NWcO5mI2lmIJbuCAuS06R81vpsfoZdlbxsoxC6WYiQ/wPgbibOo06R/Wb6RH 6CXZm8bKUIIZmI738G583+jQadDv1a+P80Ivyt4w9gmmYhqmYDEW4Vp8I/H9 6Xfr19IeekE2z9jHeBmv4CUsxAJcRbtOjX6nfjXtoudlrxv7CC/gRTyP+XgH V+Jb1anSfzu+N3Neo6/iQ9zB3xnnwPu+nd6Gu9FmzlXZqTgXfAHuwzDcirPy W+jNuAt79a/ITsb/xudhFIZgKM7EN0MHYyRa9f+TnUAun4N746whM86XPCPO BorRot8vO45sPgv3YIC/gdO4jmsoiv9fv8/1MYzgh+Oc7H9ev/di "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0rdTlFEUhvFro42NCUUKxzEhwRxHgjOm3lZsLHQEwTH9AxZmVARUVEzA wu6CAQm77C6IUGhlqc5Y2JjDjLWNv1s88+557rnnfN/uLj10fH/TjBDCB/yb E0LZwhDKsRqVqMCRRSFskVuxGduxDUf5almDKuxELer53XIPdmEf9qKBL10Q wsy5IdQVhzA4L4S/80NoVs/CiaIQTiKjJ4sWbjZOcacxxuWQxzn1GRSZUVCP 443P3ea+lnX2LZYHZIk8KN/Ks55ho95NeK++qH4nO+wpxjF9jegzO4kUSvjD 5n7Utwxt7rSjFZ/Unc6X4Lx7FzDkzjASznvRhR50Y4e9K/Reit9z3C/L5Bf0 2vFZPna+HPXqr+pqd6qwKj4f94NLmzVqR4XPzWZ8l6m4Q09Sjji7wl+O7xKf gV+JBve/6a01rwblXEpPOvZhg7NkfCa+V65X98h1MhH/F3yjGX/U0+ZO27M2 fu/Ofssp7hWm+DXqLv6XnORexjO+Mr4j/1NOcOOY5B9xD1FQD9iTj3f4B9x9 5NT9/Jic4Du5e8iq03wmzuLvcncwqk7xI7LAd3C3MaxO8kMyz9/ibuKFuo8f lDm+nWvD8/g78s/kGN/K3cBTdYJ/IrN8C3cdA/H35vtlhr/GXUUp9x99soj4 "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0UtQjXEYx/GnadVkkwo1pEMXsmmnsrPKNmNhZ5pxGzMdJHKNFDMVwuBU p8vJYMYlYsWGTdnEhsxgMGjZNguTGZ938Z3f+3yf5//833PeVGu6pS0vIqbw tyiienVEDaqwCbXYt0ZdGrGsv6ssYqI4YrEk4vLKiH9ck5ltyKyKGEIfn4ft XIHZLDeKMeTzu+14yBei2cwKuUNOy7S76ty1Ba/U7eqXctC5QrSY24mcXZN4 ozdp32tZ70ypnMVdbkbedKYIe9Rv1WV4h3vqOXlLrwSt6vfq9fiID8jwS37n J8/39eflVneU83vVX9VXvd8D71Hp+ZD36lf3YdjMH2e/8APqz/KKbHC+Qq/d 7DEcwQa9o3Idf8DeH+obZh/bm/J8WO+7vM5lzQzKR3ppvg3X1CP8Wux3/pvZ Jvc0YiPXa+YSLmKzXk9yJ9+dfGP1+eQ7ywsyxR+0YyH5X+194Z4az116v2WO m8Bzvlp9jv8lx7kxTPNV6rP8TznK5ezMymd6Z/jTGEn28MPyKX+KO4kh9Tif kVN8J3cCd5L9/G35hD/OdaCS+w8ngmZI "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[CompressedData[" 1:eJwV0Dtrk2EYxvFbSEC6RHMWVIhCu/WQqnP9CqJGIyTNqVqHduvJU0tjqyAI IgqKoBhFJztVF4VqJ12q30OQ1sXJ/jL8uZ7rug/P876l5uy5mQMR0cW/wxEn ChGJTESJJulJ+oJ2ihFjzmWM4hTGcU0+mIv4b7ZyJKKn93c24n7aQpzVc1D2 LB/xHO+dX+p7R4fMJfRU+Q/8H3MP+CSuyDZkKXzEK36TPlQbQI3/xKcxbE9K Vpd95nftWfSuL85zdAHzGNF3SN8Fb8qqnacZ+hVbeKS2Z3bbeUn/N3qj/93m MmqX9VdRQVHtEk3LG+79wa/ofe0bC84X1W7xN/FYz197v8tv88u4g7K9RbVp vdcx1f+fuIqCvEOPm2nRY7RN8/K2+37x9+x4676jzk21n3RdtoY38oZsEnf5 p+a6tCevy2pY5Z/Ic2jZuWP+jDedxgT2ASSrRIE= "]]}, {GrayLevel[0], Opacity[0.5], CapForm["Butt"], LineBox[{4621, 5966, 5967, 5792, 6260, 6261, 5051, 5052, 4880, 5968, 4881, 5969, 4622, 5420, 5421, 5043, 6493, 4616, 4750, 6256, 5962, 5963, 5791, 6257, 6258, 5044, 5045, 4877, 5964, 4878, 5965, 4617, 5417, 6253, 5037, 6252, 5038, 6254, 5358, 5359, 5035, 5036, 4874, 5031, 6488, 4610, 4747, 5029, 6559, 5030, 4871, 5027, 6486, 4606, 4744, 5025, 6558, 5026, 4870, 5413, 5022, 6557, 5023, 5783, 5782, 5935, 5934, 4600, 4742, 5781, 5780, 5920, 5919, 6244}]}, {}, {}}, { InsetBox["190", 6626], InsetBox["228", 6627], InsetBox["266", 6628], InsetBox["304", 6629], InsetBox["342", 6630], InsetBox["380", 6631], InsetBox["418", 6632], InsetBox["456", 6633], InsetBox["494", 6634], InsetBox["532", 6635]}}], {}}, AspectRatio->1, AxesLabel->{None, None}, AxesOrigin->{0., 0.}, DisplayFunction->Identity, Frame->True, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], 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"}}}}, "GridLinesInFront" -> True}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.02], Scaled[0.02]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{ 3.882869979564643*^9, 3.882870087392771*^9, 3.88287012026623*^9, 3.882871733235313*^9, 3.882871867785903*^9, 3.882872068011827*^9, 3.8828721340849133`*^9, 3.882873124245867*^9, 3.882875875509193*^9, 3.88287598388307*^9, 3.882876148868762*^9, 3.8831058583251553`*^9, 3.883109999440978*^9, 3.883110213948126*^9, {3.88311031859422*^9, 3.883110324508835*^9}, 3.8831104697436*^9, 3.8831107648170757`*^9, 3.883468959415133*^9, 3.883473337363904*^9, 3.883479392409144*^9, 3.883479645899507*^9, 3.883553848972858*^9, 3.883646082440133*^9, 3.883646566434946*^9}, CellLabel-> "Out[115]=",ExpressionUUID->"5a40e7d1-446e-457a-9279-37c87371dec5"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"q1", "[", RowBox[{"1", ",", "thetaCM"}], "]"}], ",", RowBox[{"q1", "[", RowBox[{"2", ",", "thetaCM"}], "]"}], ",", RowBox[{"q1", "[", RowBox[{"10", ",", "thetaCM"}], "]"}], ",", RowBox[{"q1", "[", RowBox[{"15", ",", "thetaCM"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"thetaCM", ",", "0", ",", RowBox[{"Pi", " ", RowBox[{"45", "/", "180"}]}]}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{{3.882870163893723*^9, 3.882870255681621*^9}, 3.8831102234139643`*^9, {3.8831104739905663`*^9, 3.883110478122541*^9}, { 3.883553873185985*^9, 3.883553873641539*^9}}, CellLabel-> "In[116]:=",ExpressionUUID->"810cff79-47ba-476e-87f6-c3e7e8c9c39c"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVkXk41Ykeh4VbKPfSOcc6ZEl18VATg6jv17lCGGMZjC0chMPP3lgbW5Zs Yw8xDoVKDBEZQpqTJWRP1mw5p4XIlay3+8fneZ/3r/ePjzTNx8yVk4ODw+fb /k+uVr6+eVXTCxZO/+6uDSehHLtFUzJTGSLL/mVteI2EW9XKLq8zALjKB2cE I0hYswEjglV6kJXWcPhQNAkXye6b9Rk/wXL0aXP5OBImi3byVzWZw5OT1huh SSQsO2VXxFFlBaR7t/e/pJOwTe3TaXOGLXSV1ekw8kg4rnu9vTTDAWi2Xm7+ Jd968kfkw9udQG1E7JXXAxLGfz/qX9rkDB4DkwMpDSQkn2M09dW5wla05JWh ZyQs1qZzb1a6wVNT7UDNARIqXVL5UbrcAyw8nKqfzZCwyWQv24DhCUIdanc8 Vkg44pBxsjDDB2TzPgtyHyVjzVkl9XmmLyxb3pxaO07GILXMyaB2P1iof8qz rk5GbrCXK24KgMIPR+qkXMjYTW3vUn0cCOEHp+IvhpExXfekd3fdVVBck3Hz ySSjpPFq/efKINCR4n/77DkZF0wtbRPuB8Oi6BvZpVkyVlg07X9XHgJqP69W cuyRUd0+Vl+XEQbuLQWahzQoaOYlOp6bEQHUy0IK640UPKIOrTl6kZAjlCln N0nBT41+grPMSODVoPbn71Ow/snoo6vtUVBU8/D7ZH0h/A+TsfdHUwzQf9Oe fjkvhPbDKmmrlfHAndjlGKwlgmjpNqepmAAv0nr5g+kieHwsTyXufgJsSJMH BfNE8N3E3phY+Q1Y5YkXPbgpgkHzndI6jCRY7N6/kNMsiulrdrU5Gb/DeG2v zQN7cUyh5Gu18afBSljkfXquOA7WxB5TNUsDfpVw97IhcbR9Z7coOfHNJfvH bhh+h962h/3WPqTDp6bEq1UogVnn3RPyBLJg4b3c72IXjuHMAZmGJatcyOpo DBBukkZNpgEfNYABmUHZHAd0TqBvqLFTre9dqEiqbncxUkbisWsqp2w1vPNL VHXUVMFh1iXeclodvNflUVTV08BE5Q2OeuvHEMRHN975xwX0U+jMbittBue2 VqkvN7Vxy9mzasq7DYoFbF6HyOgg7YmlSdqVdghxjr1BidZF59XhtraEv8HC aYDbm3IJk083+JTFPYfsGJvCU9cMkbOtQe16aCdU8GWbdY79iILyhn0zud0g HNkp3H3WBPWLqLc/ZfRAQVce85SrKQqv9OhGNPRBsAdk7vxphvkdfx3g8ugH Le4vgjfWzVFLQntfymUAlBIMZb/KWKDCG4GFa4GDsNW7K15Ht8TKu0fdH/kP gaLb9SOGBVYYPm0/pBA3DHErq7P/XPoF/bTUDf/IGoH3R+sc3BRscKtIh/Y+ bRTWd4Pzb1nbYr9vvmNQySvYMi7hHGTYoYaezN5U8Rj0imTKLAzYY9dFjbtY 8Bpy4x6UJe5cxtKaPI25inGgfs1t4ZJyRIqsIv3yvQmgnfbqqat3xMEDPNGi zZMw6sun2mrthI94Asr6u6bAOI4Yi/nqhIoUATqNOQ0pjD5vaioNV1I3yGdH Z0AsVsFEW9kZZePjlX3ob+DL7p3k80xnnLOZGKcuvYHkidudW1YuqL849PWR 9yxw2DQ6Tm+4YLC/q7vQx1ko4gms70p0ReP6WwZCv85BbfWE6HP5K7i8Qw/n 2piDc0q8Ri9br2Dxq6g674B5oHwuFMs2dcMt9/OOIdvzUON/Ue6nFTeU2E23 9QtdgJmfozxlo93xrV5SNw/3IugeLj03LOWBz070gGTSInApcRqcbvZAOk8Z tzTvW0hwkKXWG9GxgXH8/LP0t/DSLOrXTRYd+zS1mGaCS3Ao99EZr1BP3KTf MndMXYK/m2Wc8nm8sNOkyIJfiAWJMcwXziVeSNPQKi/PYsFHI4tx3zMEenzs /e9kDgsUve7kLZ8l0LfYQedoHguoimQTrx8IjOCNmQ0vZIHVb2YlbprEt6u6 xM3KWJC8oTJpf5HA0RCrtJ0GFqSXLt7RtybQ4C//ENMJFrRI5V8XjiLQ1Ju7 M26KBb0pUSeyYgj8RSZHqHmGBfISfq0CcQS6JTbWnlhgwXCm6yhvEoHXbTiW tz+wgC8kNXc7i8CWrRRa2R4LNpdViKm7BDKrjtVMcLDBuoMaYV1BYA+tZl+A iw3MeKOEkUoCJ7qHC8IOsSH3oUlE70MCN/PFX5kIsEHB+OCBJ80E7htXysUd ZUMN93S3eiuBB7kgsInMBvv4iqS6pwSSPWmCJ0TZED5/fK3iOYHix9YdbMXZ IPnDy5snuwiUGYqtSpNgg66el8rtFwTKxwvvMo+xIcd8u0Oyj8AzmvcMt6XZ 8OfNMLP8fgL/B1JKPS0= "]]}, Annotation[#, "Charting`Private`Tag$28076#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVkXk01AsfxokWlduMN90rNy7yG4yL24ao7zdZihISZQmDMPysyRKNyq40 hhSJUVniclIYN5RXTZZcZKtMsmSZkTaVJPF6/3jOcz5/fc5zHiVGgI3nMjEx seil/L8lHq5uf7Pdevekn+dlmTwCVUUPDBTStcFd8VLKliWeu6Pt8ZID8LCx g8lZ4ooZ6KWWmwHz4pz2Fi6BY+u9Z6s5h8AllN9LzSfwglyzdHntYbhAabX9 6waBhWpOeWLl9pD+b/xN9k0CG3Q/6hzmOoJmnGu1dgGB/aaxjQUcFzDxuMX6 pWjJp7FWI6rRDf7WTP6geZvAhC19wQW17mDRtuNLcimB63dya9srPUHZ/GGE WjmB+XuYkrNlXkCs1GQuryBQa/+2g0pFPsC3iSpTqiSw1mrhsjnXFyysStSj eQT2unBo1zkBoF6U4PDpwdKerVp6b/iBYC3Qeyb1iMAw3fRXYY1BwPHslXRr IlASnFXza0MgksqiPu0ksNWosWV7zUmoHyCuD/QSmGZK82+tDIVM1g9zLQGB Cpafqj+XhYH9vnXHk8YJHLW2c0wsCQdndWOv9CkCS4/ULv5eFAHPg/P6+6cJ 1HOO22fKPQ2/bU3fpiRGQxs/uf6rHBas2vGtJW4TDdfqwcNMsxg4o6ljEqpK w4//BFGH+THwmT3pw/2ThtX1fVWhjWdBOtr1bvFuGu7lcxdya8+D6b5byyLd aUiYdVuJ9GPBue7BFSBpuLpl+c2tNbGgs4ao2R1Gw842pllzZRxEvxsNEabQ 0LlnG/tTWQK4mNxOHObREO28Rgw0E8HRSWeL7yMabn6RtS2+JBGSo1J+0jto OClYeLGxKAk+hjfdtZ6gYdibZiVjbgps+hAbsXmjGqZNO93L5FyClroe05wk Nbwom23YIM2GY3XWXRVZathVEae43YYNPbX1j8VL1NBx0mlMQcCG9PNe6w49 VUN/xzVB01NpINXVzOJQ1DFjl3diFiUDKp19d9sVqOOguDJvwv4q1AxuzMz9 ooGbc6WznXKuwgy7T15xDR29d36PejZ0FXLmdS8/VaLjdHCnUa1PFjiodZcW HqKj5OiZ9tTT2WBzZ1vysTI6ajwRjG3Py4GgIAPbI4GaaMA3X20UwgXL/OCA caoWUnoKO3TTuXAlv8D9EF0LR0eWXf7zHhd2iYvedxtrYapYraLcZy5oq5dU aoVr4YgBffvH4Hxw4FrFqwxpYeLdNa65wTfgS9vbjM5KbezLa6uaC7oFep0R nnyeDgZGWrrdCyyGmJNvB09d2oJkjWfqMpU7EJtkV887vQN7hPulihiVMLv2 8L3TKwwwWXtGrPpYDUgXMSjTvoBB9ObLDQV1oCC6iHtVjXDO3bd8wL8BTOYl XObSjJFRb2fFPtEIfs+gdHe/Kbp/6mloSHwMM7fmB/j2+/GCDi+gMP4J2FoO BmaUWeCyBp5ubGQzlEaE/GR8P4hUDYv2wautQL0xoWtmaIX78oxufuS0gcrk UPj7E9b464c2UxavHUabXjr8KLHB7Kb74hI+nWDEmthqITqMhpv2LP7h8Qy+ TqXN6MkcQfoQZTT6ZBe0fJ6yNLK1w7JiGe+q4G6YCO1Qb4yxx6jXzt30+B7Q aXL0031yFIMM9SxyM3qhx2ftjcTlDjiXZ8x4y+6Dz7USMjrajtgZmO0aduM5 dCR2yWYHOaG+mfLCQP4LcDnzx9TBXGdsMdEvxpyXoOc/9u3R4+NYUJGlP1La D2i7PG9c3BVlVTSZx28LIC2j4ZfUTFfsEl91Tq7uFfzWYU4hdd2walVIYWfL AByof5Iq1+uGmrIUJoP/Gir5x1hvvRj4IXVm/da+QZBuibkgWOGOKgkJ2gHM IXD+SSWns91xxEHQbzQxBGY7eIEv6R64b6z7e5X/MPT/h5fzuNkDw4M9vTe8 G4bVSV+9Xzt4omX1NfMNp0bAZz/LdmLWE9/PM6MkZkZgzPjhfeULJzD/+dlK /5A3EMUNF9B+98I5712uET/egHW7esIizws3/UxzDIocBSO+ZIjsfm8cN0tp XSU5BtzgmYvjY974iGgDhZQxOLqTdz6A5YPMVYWSSlLj0CE7tc7kFybyuJt3 PUobB5uCK4KqYia2GxjybagTUDT7X/1IPV+cZV477Jo6AVIDG10l+b7YbJV3 RHqDEFKVNelSzn7I0DcsKsoQwsoMh4rgST/0effv11eZQug5G6QqmvLDwHwX Y5ksIeh+HWC7fPBDltT54ajrQtA2qTx44Ivf0lUt8jaFQpgJRRfVBT/si7Bn z/OEwL9EDPdSSTS/HxxhLRDCnqRCBx19Eq39JZvjB4TwjZzgFRiQeFQ5c0Pd oBDmCz3Wyu8m0Sv5n3vEqBDcPlGuLd9LYqyD2PsfU0KoEm481H+AxAdzFxmF C0JwPmNMPedKIr9csUIgJoJ85tTwDIPENkbFIkVCBMnyj2/7epIoaO3JOb1S BCrFiwpHmCTOZss/t6KIQCI8LY92ksRFyzLVeBkRVGTkq+ecInGFBJysXS8C Vx1BCSWCxPW+DCohJwL3xibO92gS5RW/uDjKi4BDi/hOxpCo3B1Xzt4kApbI yn7kHIkaCb/+5CuKoBAs/7aLI/Evg9sWP5REkOIWONuaQOL/ALzGrJw= "]]}, Annotation[#, "Charting`Private`Tag$28076#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV03s41NkfB3C3VaRflFhZRCVh025Z5PL5LCKUfEfSmhHG3beGGWyElPuW NIRFLSN3/UbkWlJiCckqYl3KPTNdULuVqOy3P85zntdzzvOc533O+6gzA2ne YiIiIlnU+DqL35XumdInzJ5v7VaN0Cdwm/COseolPVDSfFn81UuVel5DaQCP O80ginLVe3giV2ENAy3ts9GUZ+T9FuvSDoEfN4YXSzlZqWNtRaMjOJxm+ydR LtZi5IlUOMNoYZp5CuVmg4Vdjjw6PBFM62RQHraKaylKc4OMZZ9tf3w9T1tG O7LFA966KOoVU078cYBT1OgJh4l/91dSlt/La+yp8Yaid8ucRsr5PwdILPJ9 wU1Hl3+f8k6bPQfVS/wh5mrMh37KjQ5fMmx5JJQPfiKonPjELW37H2mBoHmC MBD/icqze6fhVFsQJLdta5GnfNLg0ujJFjas65Zz3U5ZAly35TcGg0GuRush yl3mLZ36DSHwsB1SvCmnWm1nddWEQqizt38kZVX7N3X/8E/Cpp8aDvEpTxNH 6EnlYeBnNepyn/I1p8aV70rCwd/ifegkZUPX+P1WvAhQOfxhRNmAQNpxpeGs tGi4+Feqz2XKMoZwN9P6DPRe61poorxwky030XYGCia7zk1QrmsaqA1tOQu6 dpJzOoYEWrTxvuQ2xsIBO17QQ8qa1n0OQqM4SCo6ELZIWbrzm4LdDXGAYvEX txoR2NsdYN1REw8qh8JeRVN27d/DfcNPhPZXwW4WewnEI76TxrpJQA9NnvyV 8ta/s/cklCeBzIIg5BrlFyNf/t5U8hs4Ley7r2hM3d9Uh7ol7zzcjWKpf6ac +pZRnZl2EQoY9/OXTAm8sDHHpHktF4KeWExamhH4uCpeTZ/GhZdjt9y5lOkv GDOqI1xoeOCkqAMEsuhr2G9fpYL8MN0/EAlMN/VLypZNh9zACu5uCwKHhhzJ /zmlg/BOYGkqZdVfwT42Ox281ot+XqBcUqEgf0IjA37vBUa1JYG31NrycE8m DGv3LVhZETgmqlE/65wF1XG8Y2U2VL7ctTmMK1lgPbRiqGxLoN/ej5GPxrPA cLrZPoXyW06veaN/Nqz4i+uG2VH9mD7dkxKRAxmjt8pdDhKo3T4yo593BWxE 8/NdCAKN22ylzYN5kMFm8ve5ECjbX/yXwSUeeEqJcvspT0+KZXxfzYNvr7Ni vOgEpog0qin9w4PadXaZiQwCJ4119Bc4+bDKVOrk8DECk26scc/lXIXdf0lJ VHsSOJDXXbvELoTWH9ae3smi+lWhFbGQWghbPt7TGKN8pikOn1cVQuGt5D5u IIE7RkwePHpTCOv1Jo5+CCIwUoE/XsouglHH2bneYAK3XLiwxpldDCdUZrTr wgkMOmXvUR1UCj7cO6+tEwi0ZZmUruaWgl3FStXGRGo/U3ve9XopjF24HjxN ecBGMmr1XCloQfdc3G8EmirdyXIly8BBUrL5UTLVv4bve1f5lEOAh29FziUC i97JAIP+f0gze3ZDkE/giQbvFLEtlVAQLl52/N7X/0xsFt1TCS6y9F8utlD9 HzK5sWJZCSO8TVrVrQSGLG8Y+ORTCSGCebUvbQSeMmtR+VBeCe+amjj5XQQm /KnKf/ljFWw61cBR6SeQ1zv4oN/8BpiO3jMXzhLYL7CRKmHWQF25wXjLehrO Z2vti+XUwGmzPNggT0Npu1Vn3WJqQExs73mvjTRE/p+LildrwNJD/7nUtzS8 xgZB0kQN2DwIKXJToWHM0p77Ae61YB1D32SgRUM9mc3xO4/VgT52e6ab0fCc 3nuRul8aICmR4/fpBA3ZOh0ZzUW3oTb4plnCOA2XPMmKp6xmOBbl3tTk5ojM piMOXJ8WmJNp/ZA16Yieb/qbm5P+hIxq2Vc1kYcxeVd9YHFCOxxvnj+4QdEJ xZrrDeJOdYB2szDao94J5bTtesayukDsLv8Nh3UE9+eZFyykdUOCbr/TGnVn VJzvtoqu7wELbtEBmxfOmHP/lqi4fy/8oGe9ua/uKJqo/Lyy2esRtF5f9NeL +AV1xmWno0IeQ6yBtFaZkwvyS9f71XL6IM6xpNpYk46Rz1z7dBL6IVT3pH2n DAPZJoZ2uelPYFC66dC+fxi4lGfJfMkdAIZXylDWQ1fsDcpxP3l1EKyI9t3n mo6hkbXGl6f5f0N1cPRHG54bdu4zKsUrQ2CXzhgIRHcsqso2mrw2DJbWEyW+ je64cYtuwLGyESDMpb9T0/PAx6KrY5Ruj0JZpFF8GN8Da1cHF/d2PgVdnFvr os1E3Y2yAcy2ZzBmQd91Oo+J8ynv5XcPjEHEskXdDjVP3JKYqBcYMA78228z n2Z64qTLyLD57Dgs5yY9LJDxwv0zfR9rWROgf6TQfTjZC8M43n4KrydgsXzD 5l4Jb7Svu2yr8OskfN585MOORG+c+xQQKf5+EtL1ftNQE/XB/MGzNazgKSg6 63jvWZgPLvmZuocvT0H/s/bwl0s+qPI5lc4+NQ3lkoOvfUN88bn1+a7VEjPg nfMuWWPRF1s1u0H1/AzYpGwUPRvuhwGriyXUpZ6DPCdp3a63fljP22ramvoc 9BKGjCRC/bHH2KSNJjcL0qZ3122a98fFgMuO7imzsOPb9thanwDscMhzWqsg gNKLqQ0MQQAyjUxKStIFsKtEtfYnDxL9Xz98N5opgG+6u8RoniQG5btZrs8W QOX7iIMnvEmMloqdiPxDADuGZoYK/EnqqTqVacUCkLUt6JHlkDgQ7sz9VC+A 7U/VNV/EkGh7ixNOjAjggZT2mZxCEgmWREfCUwG4KQ8H1BaTeFQjU+H2mABm HzjSektJ9D13s1pzmlqvu6IoyScxzkVkbvmVAH6PIiLYtSTeWbrALP4iAGVO RZF1O4ltFWpVIyJCWBOkwmB2kNjNrFqRFReCwgvDdVFdJI509V+JWCWEcgUW eaOHxMUc5UEHWSHYtOYufzdI4oo9f1vCeiFIy8HvBkMkSopDSKO8EPjHo/Ro IyTKk0w5TSUhHFZ56JQ4RqKy2r9udGUhqI8MT+VPkKjRF1/BVRGCW1g06/YU idqJip/b1IRwVPvmu4EZEn8wLrNbVhdCpWZC+JtZEv8DxqNqBg== "]]}, Annotation[#, "Charting`Private`Tag$28076#3"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV1Hk81WkXAHBhJC1DI0bGUqSioUGlsZwnlTXGMqnhZ7sI91fi2nOL7BMZ W0JyKVtxr+1aosVLt7HckSJ72bl3klBjQtN9n/54Ps/n+9c55znnPLsoF+28 hIWEhG7j8/UWeSLRPXXI1uj5w78ZT4wItIf/WF8xQwsKibdTX71WpeU5lA7w /gavsgW7egVeSbFMIZCYFGnFnpH2+VSf/gvU3Roca8NOlmvfymq2B/EjXcef YZfsIxhCrDOQtalJqwO75cjiQfsCJ7CaLbrLxR42iW0tTneF1ZtJjJ6v8dS3 qNNb3WH/xAWVV9gJ2v204mYPMKNbag1jS/9c0NzN9oIYedW2MezCY1TRT0xv mPH5980Mtqa5rtWuUl/QF+NEz2M323y5YVFAwk/Xk1kfsF+5pu+9nX4R0m9s zBcBXI+Opt4Uxx8cdzW5b8EOPZIxGtoaAEHlnswd2KLgvKewORAsgxmj+7E7 jVs7DjUGwexlzRZd7DSTvX6d7GDIlqnVQNiK1kv1H5ihsKKVm3sWe9rWwSnx fhhI6a3f9sIuP90s+KE0HHaOWe8PxNZzjjMzKYiAgcedA39g252XG85Oj4ST 79YznmNv0YMnWaZR4Gg91D+OvfggQGqCEwUpU4WFy9j1j/rrgluvQvlvi92y iEDHOQVf8ptjID2EkuiDrWbaa8M/GgsNteESV7AlOr65q9MYC1aVNOlM7B4u 1bSdHQejSaIt/8N27tNNXWImwL7GqGCVYwRCDt6T+gcSIU9w5bAhtupgjm78 /US4GWcfeQb775EvgztLfwe75bCy69ihU+27ThQkwQ+bE84KGeP3WSZqs9L/ gI/eKpoC7Os7cg1atqbC746H7VWPE+hldZzSIbtUkDn8l6wFttPfxIziSCrs XY6IvInt57Q5YHk+DU5JpbYfPUGgTEOfxBzJTJDiCkPeSQINDdmT205nQtDz dccubMUQsI7JyQT9l2Yy69ilLBnpC7tvwJ1fX1AJEwI1KXEYSDcLTvyqn6Rm SqCxDbsb5s5kw3erJiWDZri+/K25RF42PGrtrZMyJ5DPz6v0F+PZUEQP97TE Xqb1GDf75sBqmCC/BVt0+kp3SkQu+GpdTayxIJD6s5GZQ4w8eKKduZ99ikD6 HAsJ48ACcMuOiNG0JZBkX8nzIxkFoH3rwS8h2NOTwjd+rC2AA137Sx5jpwg1 K8l9KIDp/1KWbOwINKmvcWiRVghVCwsb6PYESqzZ7JZPuwP9H9ZF508TqJ/B rVsLKII4NXuajhOeL9a+iMW0IngwWhqRjB31KBbNVhfBEC1t2yz2/hGDrhdL RTBD2/oilyAQXYY5XhZQDHzfbe0SLgRSuX5985mAEjBbNwkXdSeQ/yVr91r/ MtDIinni4k0gCz+DMvHUMnBoahp6hq1CUX/vXFkGxvZhoVo+OB9zscviC2XQ leVnKOxLIEO5x9nO5D1gsW8tM6l4/hp/7Nl47j5cFER/VvAjUPE/eOucKkDj oZu7WzCBrvDX4qovVQC38fvxQeyzr3lcsdwKCBNNmLANwfvAeepYPVgBFcXU 8ydDCUTLpIeIOTChyer3Qu1wPK8688wqGxboS81F77lMoAuNXinCKlUw7s9d OB/39X+wVd6gWwXJK1K/bojH+zRkUCM4UQVef3xrl4UdtP5d/+dzVdD2TuL7 1gQCXTJqVfj3fhWkLc91Kl8jUPxTReZb7WoIXDFrW0shUEHPQFefcQ0o5Byo U84hUB/PfFMphQ2Kj3N0tCsJ9D5n38kYGhtGhRoFY9gSlhuvukazQdbDzzql CufLfPpJ9g4bVO9EBM5X4/4FAC9xgg3d7oJhFptA0Wu6f1Ld6kDqzAuZU00E 0tqiHKfpUg/XjMJX5zgEuqa1IlT/WyOUbxPacfcNgQI02m+0FD+EztUUg+3y zmjNg2S99muBBYfgICtXZ0R55GCTeq4V5j18kspLnJHHUl9LS+JTUKQfHDz8 2RklH2y4WBL/DNydXHhh9i5IuKXhSOyldliia56vrnRBUuqW3WPZnRD8yyq5 uNMVmTGM7y6mc2H36A618DhXJPueaxLZ0A2iqb0MlsAV5f7ZtEHEtwe2TLdc 2A5uyEDhmEDZ8wV8lGTkdNHdkMa45PTloJeQtxYSdbPVDTHLtvvU0Xoh2lP3 qYmYO6K/ce7ViO+Dj32NF/Xt3FGAgZ5lfuYrUJWoULViuKM1xgnK29R+SGBf Ebbiu6Me/1y30DsDkEo3N6rSp6Cjpru/vC4cBG35jZax1yio4+TRMpQ3BOrj TcvhQxRUXJ1zdLJ8GCpi2dWzBz3QDpUDVJd7I3A7wOWwRKwHerlBPFru4Shk ZCcrNY95oDrxwJKejtewTZZTb6TviQ7skKRSOG9AbnTKZijNE71PWZHW6R+D bTvVysWXPJFKQoLWReo4KNg/EhJYeKFJx5Fh47lxaGs8rL23yAuZzfSu1vlN QLektfbcN+dQGM3LR+bdBOQce6q07n4OWdffspAJmQQXPVdN1rNzaOEzlS6y Mgkh5WUV4Xu8UeHAVbZf4BQsqk77bI/xRms+hm7h61Ng8eGQgwnfGyn8l+YU cGkaVgcGHxiZ+6BZ06ROcdEZOGLkN/Ky2ge1qXFBMWkGvuW1fhGT80VU8RLR XZtm4bl4v2pTuC9qKFA1bEubhbh75x0Fk76oW9+AYyc1B5e6mRMFJ6noE/WW vVvKHHgM8Bh5JVTUbsM4vVWGByL79CoVJUlEOWpQWprJAwlxR6VuGol83/31 z2gWD1SfK+snBJHIv9D1xPYcHsQa1juiEBJFboqZoN/mQQX3WHFNOIlb1SFv V8KDmvVk75tRJOoPP5P6uYEHZGFkvnsKiSyaaOG2IzwQ6rRr/XSPRLZ+ou3x r3nwr1qsXU05ic7uzpJ5OMaDWTmNWZJJIu9rD2rVpnlwu61bdqyKRLGOQgvr 8zyotVUu4jSQ6PHadUrJFx4Y+Ce4ZHBIxGEpVY8I8aEvskPV6k8ScSnVAkkR PmRQTy+IdZBopLMvL2IjHwz/gaRLXBJ9ypUfsJHkA3Plu3n3XhIJrJl74rfz QefDWa78KxKJiUBQszQf3iq9rHzVTyJpkiKlJscHJyOHKPNhEskrfXR1kudD dpfTBZFREu3ujWOlKvBhc8s150evSaSeIPsfR4kPrdRxm9AxEv2kf89yfRcf Tsk7mv40QaL/A7JGnxM= "]]}, Annotation[#, "Charting`Private`Tag$28076#4"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 4.8717795932537635`}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.882870181702614*^9, 3.882870257355679*^9}, 3.882871735908575*^9, 3.882871868769987*^9, 3.882872071955386*^9, 3.882872135541754*^9, 3.882873139044957*^9, 3.883105861177408*^9, { 3.883110216328271*^9, 3.8831102246314373`*^9}, {3.883110474375854*^9, 3.883110478453947*^9}, 3.883473337892284*^9, 3.883479395355332*^9, 3.883479647648616*^9, {3.8835538512286053`*^9, 3.883553874034453*^9}, 3.883646085840094*^9, 3.883646567631914*^9}, CellLabel-> "Out[116]=",ExpressionUUID->"665c9ce6-aabc-4938-9ea3-804267957125"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"q2", "[", RowBox[{"1", ",", "thetaCM"}], "]"}], ",", RowBox[{"q2", "[", RowBox[{"2", ",", "thetaCM"}], "]"}], ",", RowBox[{"q2", "[", RowBox[{"10", ",", "thetaCM"}], "]"}], ",", RowBox[{"q2", "[", RowBox[{"15", ",", "thetaCM"}], "]"}], ",", RowBox[{"q2", "[", RowBox[{"25", ",", "thetaCM"}], "]"}]}], "}"}], ",", RowBox[{"{", RowBox[{"thetaCM", ",", "0", ",", RowBox[{"Pi", " ", RowBox[{"45", "/", "180"}]}]}], "}"}], ",", RowBox[{"PlotRange", "\[Rule]", "All"}]}], "]"}]], "Input", CellChangeTimes->{{3.882870283332418*^9, 3.882870333228855*^9}, { 3.882870392731298*^9, 3.882870440219163*^9}, {3.883110242780593*^9, 3.883110248889072*^9}, 3.8831104808183107`*^9, {3.8835538798395576`*^9, 3.883553880817544*^9}}, CellLabel-> "In[117]:=",ExpressionUUID->"7a20b6d1-898d-48d7-a70e-0612fe4c9344"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV1Hk41OsXAHDblW26yBJuFBdl7Q7KMnXeXEvxu36Wn+leS2m+ljHKzGgV 3XQtqSSEUNasZc0aKYlCiCzRVLbUzM0lucSM+L398T7n+TznPM855znP826j MV39RISEhDLx+x5FH0n1Tpm57JV6tybY+ZWGtHkPrdSvG8PSmQSVX7D5lca+ o0kAL2x+DfnuqiUYkiu3B7G9yuJk7GkF+nJd0n/h1iGZoe+OU+kglTe5AcrS HDPBLtzulS1UfhBMvvzxsxl2y+7PO91yPIH62738Xdiv7aJaC5IOw44cfR/z 7/30ZPTCW49A50g71RL7Ink4pKCJgLnJiFgKtoJlTlNvjR98KfJa3Iudu48h tlwWAM82/pG5D9vogOlv24oCQXj1ZIQNdpPzWopDThD0u1Rn2WMPHU7SzUxi wnp1fJzT931MjMyn2lkwcMbAyxX79O7rb063skFL+W9/KrYYeGvnNh2HyV1t hoexu6xbO80aTsA973EegZ1opxvcVXMSHharTdCx1Z3m6xbKToPSm9mI49jv XaiesXfOQCU1Zkco9l33pvWfikJBW5VCOo9t7h293y4nDERjhGOuYLseVXmd lnQe5mpmKEXYMubwKNU+AgIcmA/LsT/fZ8tNtEdA0joprA67rnm49mTrBTC5 mFXwFPvX9py1rKZICLgv0sLD1rEfcOZZRIGItLfqArZU5w+3TRqi4HFjX8Uq dl83w76jJhqKCkXiZJdpyHvQNGG+7CL07I+WtMJG1IBJK4NY+GCaTbHD/nkk 3TTmTizYar+444L9N2dtRLXoEjwyZ5oHYp+e6thmk3MFmsvzNt/ETvziVZ2a dA0aDIgZyRUauqqYQWkhJYAle3WTKvbLqmgNM9cEoHt8i9DD9vzba1qdkwC2 ArL+f7CDPaXZX2YS4cwUtSUJO3kPPTZdNhnY/z6eMeDT0OioW9BG92Qgk9iM fdjqp8ApMj0ZbPpDDanYReVKCsc0U6CUkRwZgd2o0Z6NTFNB5EY/cwR7TFiz /uPBNBh49qd9igDvl0XK8LqVBlq5jqrl2HTLlfD+8TRY5/qQn2F/CemzbgpM h19Ffch8bLH3f/bGh2VArm88m1ilIb2nnGmz7Fvw1CHxk/U3GrJqd5CyPp4D izur2szWaUh2sPDF7us5ICO9JuqO/X5SJMWwOgeipOLOn8COF2rSUFnIAaqj v34N9qSVvtnnkFzQk5hz3yVEoNh70j5ZIXnAkdFatBUm0HB2dy2fnQ83UjVd k0QJdLd8e9jnxHxwap5Suo8d0RyFPlTlg+FivfI49g4O5Xn/fD40mVzvMRIj ULhS2XgxuwA68z9KvsDWunpV+iC7EL5apD5RFScQ66zTkWpWMbTFCYzGJAjk EEwplkgohjzS/CUZSVxP05vzriiGgLJgdUvs4QPi5yRmi6FKS7CQgr1H5WGa d1AJqAfouDhLEUiqwbBvg/8dEF7Xe/lCmkAFizLg5VkKruvZEysbCfQnjx9d dbYURodWAo1+JNDvb7nd4hmlcO1Ulj6BLdPe5lE1UgqGnEcePdghyeGnxKll IKK6g54vSyBkMlNW6VwOihXNe7zlCXSswS9eRKsSVoIet60oEvh/cNkqbFoJ 18L6Iy2VCPR5lHJv3aYSGpkr0WHYJwSbhlf9K6FWN9ptDfvs3tYtX+9UwoOt 5ps2bCZQTJt62SdyFdyV8dPUViVQTt+r54PW9yDaXYpxXZ1Ag9wDkkW0Ghh7 Xfhh93YCzaVvt40MqYGIBNZEJLaU44YLh/+qgbyb84p92KisbVk5rwb2t5IM Anfg+7GBGztRA/OOHjJZegT6i2/6jOFTC2KHMjPkDQlkLLM12uhQHaQJdEd0 yAS6bLwkVPdHAyz+dFlLQCEQW78jpaXgAdj1PyedP0ggPhFU/ja4BY6amBpE nyQQrZnqnODfCncexaX9kEIgYn6wpSW2DY7cTl/jNhIobmc9szDmKXgVnSJV TxBIpKV+d9TZDlCjyQ6NSPkiOT3H3rG0LvDsn/06ZemL9mdb3/6c1A0qy2He fQxfpDzXbXe+vhfMnDgJ4nm+KONZo7BoYB/Ya5lPMji+iLJl3/pW334IzQp/ VbHJD+mPy74/d+IlKGgm+Ka7+aGyYnl6bcgAJO4smX2d6IfC33kP6McMwiz5 2jGJET/Eppg7ZiUPwS/8zRKJGv6In21D+5QwDEY2vNo4X3/Ux8rwOZ33ClZ/ txGvqPJHFvaaa29zR8C65FpPt8AfddpaFKNbo3BOmqxDtQtABVXpFpN3X0Mv WXCOnB6AFLUMGIdKOHC/qmLQiRuAXgpL/KXy4A0o7wq3mAY6qpU4XtjX+RbM ZrJ9im7QkYGiLIPW/g46OPnLQp/oaC5+ScFkeAy6dquEztkFIq2LF42ZjHH4 IYAvp5EViCY9OK+tP46D/pWtFj3/BqL90wMrtcETsHGlyU3rfwx0JsSPrvTP BFCHVQzNyxnIqe6mg9KpSZA/dWlig1wQml1lhIsuTcIBUkmmS3AQyn11oSb4 +BRU625sLO0KQnz6Hp9QwRREtc+0dhkfRVu+JXqyz76HvsBRzW/xR9EH+ytd EmLTMH3dWGF16Sh6otMN6lemIX5am/rO+xhiSBSKbZP8AGEVHNdzD4+h+pyf 9zxJ/ABP971x5+oGo14rSrur3EdI5JdmT10ORsuMm24+8R8hcwrm6DPBqMM5 252kxAX5wBHFOioT0SwoRUXJXNhBvr3m1shEgf/0LL5J5UJ7A5TKPWAiVu5h G/l0LsTTLI+8aGai85KRE+GZXHDtokw4PGbiU3WquRbifM1mC+sOJhoOPZiw Ws+FjZttbcnDTOTQGBLqwuHCIcKpQfkLE7kEi3XEvOXCm3Abx+EFJvpdM1Xp wRgXXm4xnk5eZKKAy/erdd5z4erHQUP5FSaK8hCaFcxw4WiJ6CVxIRZ6yL9K K1zD81+5ISeygYXayzWqOEI8sLi0kDiB3U2rWpcV5UFET4XiYwkW4nQN3grb wIOoe9a6EVIstJyh9spZlgf8J/khayQWWncq046R5wHn6RDp3UYWEheFE00K PBDR9yht/pGFFIJocjoqPOgsoS6Ey7GQmsa/hz3VeMCIf37TS56FNAeiyxO2 8MCVftWesomF9C4qf2vX4IFRZsaSmgIL/WJV4ijYxoOZpPliAfb/Ab0wqW0= "]]}, Annotation[#, "Charting`Private`Tag$28139#1"]& ], TagBox[ {RGBColor[0.880722, 0.611041, 0.142051], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV1Hs81OkXB3C3UNhFLlmbO2tJKvxiqfOQS7EpFItE83UdYkZKYiXXIWlc l4nM5LoyIuNSLmuVUkmKKJI7MxvlsluTit/jj/M6r/dfz+t5nc856qQwZz8h AQGBIlwbXfivLb1TJk773V7H7aLFEUib126ukm0IwrOVv254tdbQ93UWwLiq KmvDdR/hpUyNHfydMGWQij0jF8hvzDoCHpIflzecrtQtVdPiApa3XRfTsMt1 TxQL1LjBQvAmnXTsjr2Lu1yYnsAxEMq5gj1sm9hZluUNL3i//nJ14z09Sb2Y zlNAos9sy8RO2TMYXtZCgPf3PYbZ2HK/MFt6OX5Q5SxwMRebZUkW4bMDQNA6 XjQfe+ch48PqFUEg+sTpAQO75eharj0zGPY/DW0vwn7pnfVTUVYYNPTS3Uo3 /mO003SqiwK+Gbn8CuzIvdlvIjupoGk/9/wmtgh4abNazoCXKtWAg/3YqvOR SXMEuHArbzVjZ9r+FPqYcxacJQ3IbdgqjkuNK+xIkGEr0R5iTzu5etKqzsOJ 7kvverBvHm9Z/7EiCu5Hm6S8wDb1Sjpoy4yGpr7YgLfYziFKw/lZF0GlK+sJ H1vSFP7Ks4sDFSunpXXsxTtUmYmuOOgOdj8idolAjW2DDWc7L4F6hQ1HAftA F3PteksC9J9NUjfF1rHrP8ozS4RnKqmbLbG3PNpUYtScCFcFB362x+7rIdt1 c5Lgjuz+rV7YXgPG9CV2CixauqcmYSPXgEnzHTSQLk83omNrvSowTq6iQcsh EYVr2P+MrL36oSIVIqvaE+qwI6e61a2ZlyF40EVoAjtz+UR9XtZV8JAtuGwf T6Ar8gyLDik6aJc/WHDHflGXpGriTIeCWsmsIGzPf07MqIzQQYUYY6Zih3pK UJfnM2Fs5+WhHuycfYG0AukcoP/mXOmdQKDXr12CvzueA0yZGv0z2CrnwDGh IAfOD8ovJWNX1CjIndbIhe3Cola3sO+qdhUj4zxQu3fkq1AigcYENZrm3PKB t6fxeSO21nUpxonCfLhTSJztxQ785XPM8/F8qO6Q8pzFXg7vs2oJKoCD31zm FZJwPqZjezOiGfB2a5pONLbeg5EZk+JCKM1i8Y8kE8i8y36L1RkmZCRLSejT CCQ9UP5sbzYTAkNMnh7Enp4UyjWoZ8KEzr1uf+wMgRZVpRUmsGMlQkqwJ831 TRbDWXBfyJBQTSUQ7baEz/XwG8BO4chqpBFosLinYZVaCqmmE6ed03G+anSj FzNLoeqmt0ckdlxbIpqtK4Xx1R/iCrF/HrF48nypFBRirSLnsGMU2OOV1DJA /Tvk4q4QSPPKFQk3ajnwMrTFWjMIRLngeKqeUgma3IUHJzMJZB9qUSlOr4Q0 a7vVVGxNkt4Hr1uV8KUqwrcBe/CQ6O/i7yth2cxmVDKLQPuU2vO9gv+E6lC6 Tzv2lmaDPjH/KmAdOFWtn0Ogsv8k4YRnNUggxcOGfxAolreaVHehGq5mNrud wv5tlNsjyqiGh+6f8rOxJbvue9S9qgbWqs1ffOzwnJhzoq5sMHy0wujKx3k1 mmfXHq0BdfZCehCDQKeb/TKENGth1Xjo8HDRxn1wUhM0roVv6dlfFa/jfXpt cXvduhaiyPbvjmNHfNk6+NW/Fhy1imgvsC/s79z+qaoWRkTTO3uLCZR8X4X9 bk8duJbs2d3PIhCzb+jJgNVtONZuPCtRTqAB7qHNFSQOqBWaSljcItCHAl2b hHAO6H0uCU/E3uIgdsk7ngPN1loyT7ER+z5f8QYHlITcV07W4vlRgUub4ICp 7sFfk+oIFL9q/JDs0wDbGGOH39QTyFBSLWnnyUaIayuLqW8mUJrhR4FG92aw nNTibrpHIKp+d25HWSvM6qTlHX6D7ykRXDMa2gEZDN3CRT6BSG2uR+n+nZDt 9a53XcEXEUsDHR20+0Ay5+fqm/ui9F1NYeXJD0D0emmCqY8vEupo2pt4oRue lVtGXE7xRTJ6Dr1j+Y/BS8HMJabBFx0stipZzOoBpR3KH1ynfJHihx7bi029 cD6k/KTRNj/EeHhXUDioDx58zykxPOKHLLZbrqv5PoeSQlWOepIf0h+Xnv49 4gXwywp1wzv9ELtSNrAhvB9alGPc/rfmh2LeevXrJw/A3I+f/FiW/ohqYepw PeclxDFI2f7J/mi12Jr0jj4IXWShNrxBqI/C8Im8MQTDRTHkTVsDkJmdxtoo 6xUYi9xdCfYIQI9szCpR4Ws4vvTHNtsbAaisrsBs8uYwyJ+nyRkvByB5zR3k k3+OwL/qThP0/YHohaB4vFLrG4DWSqpediBqED9T3vdoFMyO7cr4OheIdshL k0ldb8HXinst3zQIfcj4KGc0OAZP5ED3amYQ0kxJMQwjj0OfQxl3dSYITXqM DFvNjYO9AcfmPzMyOjjT/7khdAJY/IJW7zwyOh/uF6iwMAF26vyA9gUycmy8 Zq9wbhKWxmm9rMPB6P1Xcozwx0kIJY8bmVQGI9bQJU7omSk4T67YOi8YglYD 9/lEfZmC7/4+8Hm3bwja/i3Tk3phGipO9it1doSgWbvLj8VFZiDeduzcvPZp dE+nB1Quz8A5qmaLVNppRBYvF1HfPAvy7ZQVNe5p1MTU2ncvcxZMd8KzZ46h qNfcostZZg6MO7c1HrgVivjkay4+GXNwtm3O5dh3Yaj7aPFxKQUuCEk7qK+d DUMkM4uKihwumHo57NsxFIaCFp7+9yaPC7bxWYpjr8IQheVtLVvAhX6v+s+Z w2Ho4uaEiZgiLui+i3j5aTQMj+qRsnM5F3jejH/uTYehwSg3+tcmLtTE0mhe y2HI/m54lNMIFzRF3+97IkpBTqEi3cmjXHBzj9IuE6Og3zTyFFrHuLD7Zav0 RXEKCki7U68zzYVDnX7Le7ZQUKKHwPsv81xYGZeZZEhRUPvqFVL5GhdqEwKo wXIU1FWjWjciwIMl4na2jTwF9ZDq1qWFeSAbde2OqgIFjTweKIwW44F2r6X0 gCIF8RnKQ0eleRArdptroUxB645s7WRZHgxS/v5J8UcKEhWGiBY5HhjvJJGX sOWCSTI6SjyINnNaLVOhIGXVf709lXlwyLnQLk6VgjT6k2ro23kwfSw830ON gvRSFL91qfLAr+L5vLE6Be02/9PhizoPtGqbrb/XoKD/A59unis= "]]}, Annotation[#, "Charting`Private`Tag$28139#2"]& ], TagBox[ {RGBColor[0.560181, 0.691569, 0.194885], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV1Hk41dkfB3ChSJoo6SeDVBSm0YQHQ31OMtZfshTKzsjXvVxfa/ZStlLm WsfuKi4lW9a6RsJtkCRbJOpacu+ULMVIYY4/znOe11+f533O+/nIu/pYuvPz 8fHl4rNxCzwW6Z7QsDiheU72f3GmBFLgNenIpqiCZb+X8oZXKlV/H04GWBS3 cdlw1RIMiJcbwoLoaOOGpySI5brkM2DZuqYbj31Tqn17OcsKrI81cjbMPGyf z1duA4HWu0uvYzdrzh21YtjBBRWRzBvYrw2iW4qSnWCmNKs0YWOesqhyeIsL GPU+Hb+JHXds0K+I5QaP/0w8kYgt8SuD1V3jDkNf5pv+wC44SRFcLvMAW86c WxL2z8bqp+WLPeGXswlHUrBZ5mtpJgwqpJ96Ip2GPeCUfCg32QdavdbdMzfy qP2sNcEmYTVRqCUb+5JmyptLLb6Qu3ZPLw9bEBwUClj+YJrYWnUHu1OvpUOj IQAi6FoMJnaSwSFaZ00guBYaVd/FljWbr/tcdgk+NmobVmJPWljbxd8LBlru 3vZq7NJzrPUfi0PA0TDdux5byyHGyIARBtlMB8XH2JZeUq8zki+D9lHlMz3Y olrwON3wCpxeH/vSjz330Fecw74CyZwjj4ex6/4arA1siYLiwMwnE9in2Iy1 PNY16OwojPiKrWjYZ87TjoYHCoeM1rFFOjbfUWuIBqv7epqb/0+gni6KYXtN DCTV6V8Tx3boV6fPl8WByCrZq4KNrD3GdX6KB5WFhifHsA8OZarH3ouHM/9m DGhj/zOyNrS3+Dq4pO2jGmFfmmiX12ckwOdy49Me2EkL9tXpyX9AuuboTCn2 rd1Zus3b6RCp+OJTLXZvVYychiUd1Pc2723GtvvHfkp2hA4+wnmf+7Fpdtt8 Fz4mgVWi3l2+0wRKPU7EZ4qlQvfB2QPO2MPDVtQfzqWCBlT2e2HLBoHZtcxU uNlCrQzBLi6XlPDenwZ69T3cFOxHcux8pJ4OtfzGDp3Ybzftr5+2yQD6+8Kz YIbz5W3Pss/JgA9WEzVm2MSvX8NfvsuAFyGSyBF7wa9Hj+WZCY4O519FYAtO RnYnhmUBMjHY+hhb+enIlEZ+DnA8nEKNzxBIh20ioufPAJ1samKkOYHE+pkv NFMYILeo9iEJe3KcP+1INQNuKbh5F2En8rHkpD4zwNDqC6cLe1xHRWPOrwBc awcSZCwIFP9gm3Oe321Iijo6zsYezO+qXfEthODFlbRjVrhf5YfD5pIKofr4 ozwT7Ct/RaP3VYVQJ/WyyxVbaUT32cv5QrCjCWSmYIdLlr0r8S2CpRjq/BL2 gVu3ttn4MiGpqLug7SyByFAzl2qyBGDt7fcwawKZ0HRLhOklMOAiIJeBfcBV edahogRSNL/+XoM9aLwlQvhTCWwePm8/g31cqinDgXoXmIpjy842uH8NR3qE Lt6Dot0UrpktgYoWRcHe7j6Y1cvn/naBQJG8lZiqUOwiR62L2Laj3K4tWfch IuP8v7HYouy2C1VD98H9Rey7dmy/1PCgLdZloCRT6mRmh/uq9rGs0rwcrjdF iDnbE8i7wT2R/0AlmA5paeY5buwHi32b1CshWL2d9hR7blj3wbp+JRS+MOn5 hB3wbdfg94uVUNGhII6cCBR6okXm33uVsKtV8sYkdmybbNmHY1VwRm2TrYYL gRg9r5716z0Agwqm/ZIbgfq5xluLXWtgx5jbs0VPAs1mHv7tml8NLB8+K6FA wflNhaKcrtZA5A561FlsVNa2vOd2DZxgvm+vxi71BW48pwbe0BdEAqgEurqi /jfFuRZU8vPtvnkRSFV0X8zPjnXAWPt6SIEk0A3VJb668w0QIH1bdSqIQL4q 7WnNRY1wlwUeAXF4n7pRy0dpzSAkORSil0Ug17+szekXW2BIQ11nezmB3Ob7 m5vj20BmYvDCHBvv76P1PszYp8AQGUsMHyMQf3O9ZnRoO4Rk+5czlgkkrmza /TajEwpC+zMM93gio3y9O3PJXbAWNPHjmoYn2jPbZXC5vhs+n+2zTDjvibL+ frRJwLMHGkxnOBWRnkhX5uT6vt9fgtBlX0XjO55I5Z3YZERALzz/VCa987kn KivZSdT69cGq3XOV1UVPFD7m0KcS2w+v/L3NHQ5SkK+ulmle6gAsuP3hP21F QSv5+q4f6INwckBtZj2KgnrILOdLt1+B7cTyUF8tBWkb7l8bLRiCUxzJkelp Cur4TbsE5QxD8I4jNtf3UlFRVab2eOlrcHq2JVreiop2H/iJ4nh3BMwQfTXw OhX1bhK+KtX4Bk6mcfTn2VRUK+zP7OkYBUmu4x0Ovxf6abcYxZU9BuSp4BGx 415oNnFJQm3wLajyXT2cGuGFDsTFqfpQ3oGXuleOBMsLjV8Yea03/Q62PZnP iV32QkZTfV9raRwIy3Or8NX1RsF+7oTkDAfeBGfqz4Z7I7O6bBPJoHH4c1au XbDNG336TgkXWBqHyLl0K38hGip4FVVD85+A1IeVy1EmNLRCHHcO+TYBWQ+V NPRSaUhmNcnON3QSHKq27uJ7TUPvDRM6hQWnQH0f4ROj6INaFbtANmEKhp4E XE7080EUYaag/Nb3cKXyXsXJRz6onnHweGvSe2B8VLK4KEiibh1dtqX4NOQf NFCnKpFomZJt5Zw4DYYuvTe2mJGo3Tz/3HZJLpT2sim7gkjkqq1bXJzKBeHb 7rZN2STynHm++CadC3OXzJU8ckhEFjjp78zkwsv51PUduSS6vPUaJzyXC0o/ KDS65JH4qzqkLZlcCM/SDtxcQKLBEBv693ouvBVZmDrNJJHJI78QixEu+F3J qB+vJJEFTbA9dpQLIxJzR29Wkch2f7pk41suuIX7V2g8IJHHjYfVipNc6JBY ZsVXkyj6At+nbx+5oHanZ6dqHYmaVm65Mte40BsUVRfOIhG7XK5qhI8HP378 EKXYSKIu16p1MQEevI6hWvZgj3T254QJ8UDvSiH/wSb8HlnSr8zFeHBEdDD/ WTOJ1s3KFGJ38sBLriUl8AmJtghAAEuCB8o/NNyUayGRBNVVXFGKB2FvWLf8 W0kkLffFyU6aBzkfnqbJtJFof19MOV2GBzYag7f/xlaO27PKluPBSwtujS+b RL/o3DX9Js8D2+Fvz6Sfkug/JA+prg== "]]}, Annotation[#, "Charting`Private`Tag$28139#3"]& ], TagBox[ {RGBColor[0.922526, 0.385626, 0.209179], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwV1Hk81PkbAHBXyCIdWLnCKjmyLULo+awUan+uWhJip8jxNTPfIVcW5fwp 91EkRuVIzTBFOWrXzzZSyZGJ5MrkmNm2YttaV+b38cfzel7v/57r9ehQaB6B EmJiYldxrGXJ3+V63lq473PSpdzathiG9IW/2WgVmIJrfljzmpcaTE8N5wP0 r6ZNrJnzBV5uZDuCzenGbTrY01uCF+7lu8Klp5/OrvmiWpcCu+0I5Ow4ML/m agPfCjG2FwTF1ybpYrdbzn1/hOkDYo81DfWwXx9M6ajK94dJqar3a14ylDeM 7/gF9M32PfsOO/2HQUZV20nIdBF26GNv2cts62kMhJAj1bzt2JU/hkotsE7D Q7szYgbYu5zN/6NTEwLfrvc8uBO7zW216BAzDDgNTtWG2C/983dczadBfOLJ RpO1fsx2Wb3l0sH4ygWKKXa0ZcFodAcJSvFcw93YUuCnX9kWAXsY1PUW2E/t O55YNEcCP2ZM2xI77+AO6tPGM1C844SbNbaWy/y9T6xoaPIpFNlhT7l7+mTU xUBMr3MCwr71c5tIoyYWPj1WUt2PbeWX6nSQeRYytQeKnbA9CLXXl/MTYR0Y 9B7FlreC34sdk0CCE6x1DHuuhdw4yU2C2y6t6T7Y9x4ONp3pOAdWw7m1FOz9 XOZqeVsyiOrW6zGwtzsOuAmtU2Bmpd8+ClvuybrrZs0pwJe9FR+H3dcd6tjV mApLijn7krH9eOa586x0KPmqsVyEjTxP822MM4D9U8i7UuzvXpWYp9VlAOcZ 93MF9p8jq6+21vwXNBXqj9Wtze9tl44D8wIUk8irfW0+f/veLc7PgXmtnyzn sbOUS23bFXJh114TrwXsF5xUbQuPXCjLYxeJsH3+9J3WGskFi8g8quJSGKL6 fEP+/Vce9Jzi5ZhgF9oFZ5QoFQJv6/e5JPbw8JEwxZ8LIeSxVGkctlYUuCSX FAKVFt2RjF3DVtkSrlsEmhv20IqxW7W5Fci8GFJXNls9xJ4Q170/63UZ8l2N 05WWcX/lCqW+ZZfBKLM7Th07eO9ifP+by6C5IJO1HftvRp99W0gJpN10VbDD lppK6Mk+WwqHpjV+DcM27ByZtqgoA2WNc2o92DbcQ3L2EUyY5szur1sJQ0q8 6l7LAibQtQSKzdhTfIkik7tM0InP+4eLnS3Wpq32iQkO5uMb+Nh8GyOLOUYl 7L3mnab+NQxl3PkmoJxxDUrjahgF2IMV3U1L5A3w85BwvLSK74ttcHYu7wZY H+ME1WInPUxBM5wbUD8oXtmCvXPE9ln//A24apYWOIodr8J6U0tWAXuT8i49 URjSy8r6xoushgi04WETNj3O5Ze79FoYdEvs+yBGoENU21rZ3FpwpEyOSogT SI9i+NGvvhaiAwYkVLEHnaV/lf1QC9yFwCuAbaf222W/sJvg7GsnysOWazbp kwmqA9pLMs9GgkBVn+XB1+c27C7ijlVKEihBuJTKibsNJoNZ6i3Yx8YE3dKl t2FpdYTRhy3PfXSc8+o2rLBlqSJsRmF8lLQnC/hSpcUnpAiEzP5iNbixYdbK tUFnHYHCmwOzJfQaYNOeNMk2aQL/B/dt4uYNkDP6tX4Ie27Y9o7IoQEeBdPj /sGOXN48uBLUAH77HEJ2yRAobl+H5r91DRCqUsK+jp32SIv17gcOSF9KHyqQ JRCzb+gZz/4OyGSNl2fKEYgncF5fQ2kEzbcy0/2KBPpYYnAgmdEIvzMTKz9h yx2WOed/vhEunfscrbwB18t6tKB6rREC64cZ3ti3SBBkTDaCePMZJh/7/JL5 49CAJqAZXHi9qEQgU/ltqbtO3MP7zeq02UygTNMvYve8m6HDutNf4VsCkUZd Re1VDwDGezsn9Qi0dDKMPUZthwXv6oSjuwlEeejplhvUAZ+ZR1WSgEAn53nt 7RmPgEkt/lDhRqCL39+nVad1wlZRbSBQCCTRft8yJa4Lkrq2Ppc7Q6CNhod7 Ji4/Bd+Z6ruaFwjkVGF/fS6/G973Uf93oJJAqh+7Dybe74EXtJyGf1sJVPq4 VVwypA9u7Vz8d+wlgWw1fxRtO9UPA+2t+uFzBDJ6ozT1a+QL0BAZePcphiNW 7abgJsYA+N98sOG6cTiKH/cbMErjQZC3z2KySzgiba0Olxe+BI9xReejZDha qnCgvMsdBJ6DsNiwIBz10UsDoq8NwcZFT1WXlnBk7ai7Olb5CqaiFDthPBw9 OWBdi8qG4fxtU+BIUlEVp8Saf+s1dJSX7akxoSJlPePQEzdHgLwjbSnnSUUv xGXPqz0YhaNkkLNWMhU1yUZU9z0Zg6TssXM3G6jIWFkplMIdh+6Ew5v3j1LR x+wvW8wGJ+DJbH1BmzwN6aWnm9JC34BG78EyJRsa4h8feW0/+wauXYnRiA2h IafpgcUm6iQcdeXxZstoKIYRGKzyfhIKHez1J57TkMu9K4dUovjQNu5+fFWc jj6shMZLfuFD9seculZ1OqocOtdIjXgLjJhIPsWCjpaC7QJil99C3gP6KZY7 HWl+zfMh46ZgsjzveSJBRzOOF57KSk3DSePeJbFMOvpjezdoXZiGFnGVV4E1 dBQqWy2ls34G1FI//WD6Bx3dZ35n90feDHBynIruTNJRj40t12PjLKyYKsyl r9LRQuiVIwHZsyBxaoivrk6iLreKnxVUBDDFcu9i7CURxdq2pqZQAC4so3df vUgU8v7559FiAczZ28aeP0YieqW/w6YSAUQm98jLeJMocX3yZPxVAXxIjXBQ Ok7iVT1R96gWwIwa87OuL4kGY71yV+4LoE8844RzAIkOtTJi3UcEUJ/bal8a TCJ3qlRX2pgA18dL0A4h0THdYpUHEwJYd+1w+w3s05ktd7dPCWAx3fVIfSiJ Uo6LfVj+SwBluhdbHhEk+m0pi1K9KoBTMhOpc3QScdnanBExIRz41k01iiRR N4UjUpIUQpShAnsZe+Qpr+ysjBAEb4LeSUeQaKFUfchNSQgZ8bFVmmdIJHJh 6adtEsK6BKNfrmNLS0Jk2xYh9Jdv090ZRaItYZSN29WEwOrpvWseTSJ17X/8 fdSFoFydntKKrTuQys7VFEKcScJxFEMiw3TVr1xtIZg537HoxN5tc/Pwso4Q 2GO6Kj/Fkuj/mdSvRw== "]]}, Annotation[#, "Charting`Private`Tag$28139#4"]& ], TagBox[ {RGBColor[0.528488, 0.470624, 0.701351], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwd1Xs4VHkYB3CiGrdcYiRbLpVyCYUQek+W3HY1iNqkUGlQmOGkUJF7oTEh JEa5F5kalyJmSSFZ5U7K3cxGdNlWLtnf2T/Oc57P8/yec87v/X3f96h4+jue XiUgIHAHXcRdqF60fczAYZ9Br847YRKObePXmWy+qQPCW4f/90K5zql+JsC5 n3PvCbO/Q7d0mRWc8/IcJTwhS52vZB6EVcf0pwgnKDRLlNU4wbYPXjOEC3Yc yxEoOwztsz++EeYazuk6sVzhW+LMMuGBA1EN+cwTcOPJftJq4n0a4hphDR7A oH9fTzh2dw89v+YkfKwWUyEsu5dV0845DckJETqEc/f7CM+XnoGAmcNAWNtG /3eVQm84P5hEIVxD+Zlqy/KFGy5qJwl3n2Buv8P0h9yv5xMIs/W0jcaaAoAq p3uPcLDhzXfBDTQYbbSpISwMbttyawIh9EX2LOFW84YWg+ogcN04ILYGOfnA dr9WDg6BC7g64c32nyu/lgZD/fG/qITHHVxc40ouQNFowjXC951rVn4pvAj6 X0pKCRu5RVsfYIUC8zFpnrDjWYWBdOYVuPDU9s5aZHEjqE+zCof8NPFWwnNP aNIjTeGwvKQ9T7jyWU8F3hAB7mdSj5CQf21i/cyuiYSUBzx1EWQ1q04K3zgK pjvLPAiLtqy+p1cdBTcjuzMJd7T5WDVzoqElxEJaFNmtS5/xuTQWZP4sWieG jLmcGTXRigPLLYEOhLf2ZejHlMRBlFh2KuG/B3/2bSyMB/5ZOVVxon5jzSoW rOug4XPNToKoz5djj9OYN4AikDgsiZwol2nKlWBAnyMPk0J+y45WMnBkgPbn kbuEXf8+NrF5kAGbJMt9pZH9XMVoX6aToYtbJbUeOcWMGpchlQKiIUFFZOT+ fiffdc4pQLHkqMoT9T8P9pEZKTDjyMwmXFhGlj2nmgqXdqvf3oD8VKkpB9NP g+bZPws3In8QVK2aOpwOTg3Z65SI/WVLZB7LSgeL4w13CVP3/gh7M5wOA7pR RsrIX+gd5jXeGVB/fpSqQuRj/HJ7UmgmHPITGdqCrPFicMIgJwuGfhNYr45s 0mQrah7IgnGn6xX6yFJdBX8Z3mTBWPf2AAMiH6OrUnc+ZoG0+06tPchJAjVK Cl9ZcDY+sMgQedRE02COngsb5KfZe5HjHom5Z9Pvgg4lkbQfuSenrWKBlgfi AfHP7Yl8le0InUvOA2dVywcHkcOfRWGT7Dw4+sw7lYKsPmj66s3nPDAonvF1 RA4jlw4X0fLB1HhY3QV5S2Ki2GFaAWia+fPdkANC7D0eBxRBB0Mr2A/Z1s+0 iMQoAhotOcafWO+pMev2sAh4Ug63AojvsVlzifSpCHxih2vpyGYKdeluvsUg pIttCCbyV72zY61XCZw9JCgVjpz/jzgcc30A3vURQjeRL/MXotkhD6B60WRf CvKRIV7bmswHwGyjhKQS/dD0/Ci77wHsUrv2/RYyPSXs/BqXUphimKxkEXnV my4tp5QBffmWQyHyuerTSau2lIP5fa2F2v/ng4OyoH45NO/JuVxH9FO/6aMV i3LY4FoszEUOWlzfs+RVDu2no+QakUP2NWz6t6QcjG2cbVuQY55vLv24mw3G fu4CPcisjt5XXeaPYGFOPHsOuYtnI1LoyYHuZrMcDREcm83YYRlJ58Cve7hU LWRRu7URJ65yIGZrvp42Mlb6fF7+LgckQ9Ne70K+TwNe3AgHkrrIMsbIVxf0 X/q4V0C/S8KQFbKOuHK09vFKYOuYXPZCvqbzXaDyj2pQTN4+WYhM02xO5ebX wo+kW/esRdE8PelbNuTHBXPpxZIVZM9nLhSGVwMcuk95zxXDsZOfu7jcuOfA pD3tKBFH81u3yr8g5gVI1E8qZkng2CpulWFUSDO8btQVy16HY9Iadu0f0ltB pDKv6bUkjlnnmN+bY7bBv4K0yytSOCY/23bgSlU7yLa/2nRSBscyXz4VFPLu AM8nrXl963HMdNP+FeVTb8Cw4veHtnI4pjksNX4p6C2kOaswv5JxrLRIhlpB 74TjS5PKaRtQPt+7dWrGdIFUgmBo4Ea0P1Mju+yUbmj1MCC7/4L2l2Ph+ZHR Ay69IuPYZjTPAjLdg+/2Qnxs2G4PZRwztlL9OZTbB1VmroN0VRxrsTQuwrL6 gf1xu1zSVpQ/dobx6P0BUHbi7ptRwzG5LVo+x4sHgWltFm6kjuaTIOmqQu07 IMca/vZKE8cqSIEFHS1DcLvwJZ2qjWNaclI+nk3v4VpVifu0LjrvpO+yej0f IGrvV5laPdQfsbE6/j7DUGA48tJ/D+rno4MD5lPDcCFHzn6HMarfROePCr8R 0LqkGq9rimMX6Kep5JkR+PbFoFYecMy+8rYt+fwopOy37XUwx7FPSz5hQt9H 4XqEsh7VEv3/eiM4foFjIPE0KifcGtWDauZ+cXEMwt4YJc/a4dim5WRXWsg4 7FjUe29wEMcmra63koQnQEekIqfbEcca1dpg8/UJEJlUrg12wTEfUoGwisgk VJA+OE7/gWNVrK1mjcmToMF59PCZG461m5g2OUpPgWTuuR/HPXBs3ue2k3vS FLwxWLi6fArHmik5zhJkHiz1aPctUlHejE0LC1N4QNYjpzSdxTHvmdf/vEvj gYWbPasHOSD3hIVMBg9smeWlU8hXRCJHwu7wIL3uyyuRczg6qhZFxwL0vOu+ ZHvknouHGUtVPGA5bRzrQbZ9Sr/oMMgDruLLo3w/HHPwE26OGeLB8DuZhAXk I6pp5NoPPFjLia4T88exM9eePFYb50GQ5bCaNnLUUYFPi9M8eO3qtToQuW4h 0bPgJw8m43N/LCE3lSmxBwX4MBrrZLYuAMfaPNkrUkJ8oCtpXlVCHmztygpd ywfBWltJc+T5TMVeihQfgiVtDGORV+xLt8XI8KF637aodOQ1QhBUI8uHt9Zq b4uRZX09pdUU+CCflEZrQ1ZU+nbCVZEPkRmrG4eQVTujyxib+GCjnCE3i6wR K7/cpMSHGFEHbwEaju0yKbZbVOHDYWxnnTTyfyblVko= "]]}, Annotation[#, "Charting`Private`Tag$28139#5"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 151.72472953585446`}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{All, All}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.882870313200821*^9, 3.8828703337793283`*^9}, { 3.8828704032913523`*^9, 3.882870444426054*^9}, 3.882871737560042*^9, 3.882871870421131*^9, 3.882872073896041*^9, 3.882872138682444*^9, 3.882873141177374*^9, 3.8831058632850513`*^9, {3.8831102393713703`*^9, 3.88311024932015*^9}, 3.883110481063265*^9, 3.883473340117433*^9, 3.883479397192685*^9, 3.883479649608984*^9, 3.883553881259975*^9, 3.883646088236083*^9, 3.883646569533897*^9}, CellLabel-> "Out[117]=",ExpressionUUID->"87302cc8-2b37-427e-ae3f-967f24d3fca9"] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Plot", "[", RowBox[{ RowBox[{"K1", "[", "Et", "]"}], ",", RowBox[{"{", RowBox[{"Et", ",", RowBox[{"-", "5"}], ",", "50"}], "}"}]}], "]"}]], "Input", CellChangeTimes->{{3.8828708703013153`*^9, 3.8828709053868113`*^9}, { 3.883110255965941*^9, 3.88311027022156*^9}, {3.8831104853921556`*^9, 3.8831104857251253`*^9}}, CellLabel-> "In[118]:=",ExpressionUUID->"13bdecf0-e0fe-4fe7-bb03-54c065ce665b"], Cell[BoxData[ GraphicsBox[{{{}, {}, TagBox[ {RGBColor[0.368417, 0.506779, 0.709798], AbsoluteThickness[1.6], Opacity[ 1.], LineBox[CompressedData[" 1:eJwVjGk8lAkAh4eYabGZHLlSUSopcs37vhT/iMq4QjOMIU0UUTEMFcqRVGwH UYixyy4VMazVyaQUSYdqW61uZ+RIqYxd2354fs/v+fIYCHZ7hcjTaDTud/63 6d6K36en1aXL8t2KPU6JsOuc7OblYXWp1SetLc1ZIlzsdHkc/UJdqnvkqqLt SRFMbQbG+q6oS8V2sZNGx763zMjsoUhdmh/APDmZ/r0TxeeKB9WkylEHdxbF i7AiOatozbPZ0qmMoEsPBSL4qo0xGQGq0ovxi1kvV4pAcmcba9Lo0p0On/Z8 bopByUma3+fUycY93U5Zq3kxMMzKm6ff+Laxoaa2K3EsGtHhlTW5UW/tk2pT +4ISo8H8mx8emz1pn2nom502Kxoe/sbuShI6Mt2/HY7LFmJy3gd34ZAqiKWi Wfu0hPisay5MXqsBK1I41VgcBVl22cHbI9q47y3vvnluFEr/iH0jZusjXtL3 QK0wEgsMrTubWhZA7lnHobi5kah7lWlkpbsQ6T/2ysdq74beR+bpEUcjGGt3 yqfL7cJ6mTDC+OwSsDr0sOZOBIapvviwAWOwUy+N6qaFY1t7evX4rOUwvJI8 1OKyA79y6RumBKa4rpi6MbA7FLwC39SydSuh3nggMT9lO5zp+hpMkTmWXCy9 avQ+BMMZ72/IzlpgcPF59msqGNO27ikqEkscbi6xNk8VILqvOIbfZQXVDN02 h5ggeF4/svfRuDX2yw7ycw7zoZY2m6fz1RptQ8EDc2L5eOqaZ7Nlyhot1Qo7 Mrfywesql40qsFAvzujzsuNjq+xOInMOC4VHcozZ4/6IpegpHiQLxZezgjt4 /jhbl3K0PYEF1ReRBqL5PAQmKoVrJrOQP+iWCmUeDJyy2AFpLAQY9JtMTfjh tyc/q3z4iQXGGcZ1x/t+qBqXHlMRsyC/llOtmuCHJvPpLPYNFvxLbvLinvhi oDK+oFWRgPPq3FHHOC7OmLft2aVEoMwn91ZnIBfr63Q56qoEPOy4U5ucuSi/ dpkZoE2g4c1mT5omF6FtX9JGlxHYzblLqUs46O+PjtTyJCAWaNq/ebcJ/Qsj nELyCXgLbOznmvvgTNlVQyUxgRGWys56DR+sN1GmVZUQaPrhiu2yr94otzh/ 5WsFAduli/7NbvBG6Jp+s8xGApGSBS1bN3ijLzBYt7abwHC6W7kdxwu9efwR mhmJ4MCJp6edPIHYiSCOJQlW/Sp2xSJP5Hmd6LhAkHAx1NdInOEJV+VbdRyQ WMpt7spL8kBtgklCxUYSFSKdop4IdyRtnpzpG0Nimyc7bsDIFc9tT+2r3ENi pskKrepONiy1TYfkE0kQt1c/Kclko/fhlgeVaSTSf/F3nRhxgatDa86M0yTW rdS5GXphA3SMzhhWXSbRGu3wtnbIGUI5i1MKDd//lkrDz485496LNkVeE4nB JUeVRGbOSMqd7ldoI3H42juHqnAn9DK2V/G6SFzIOc1JaXcEumkG1a9JhPWU FZ0IckSeND9LsYeEZJK1d/mYA1z33hdVfyBxnC4u4Cg5oOa99Sr6NIlvduV3 GXMAlTsPKv1nULB++XQGe549QkrC5ksYFEr1BrlMhh20+YXyfCaFVjvLvPp6 WwhJIkaiQaG5vi/iaoIN7mk86qHrUCjf3eIhsKBwoF2hVWJAged2oawrmIW/ zhXZMBZTeCVXoD3ruRUsDpEV/GUUMpbLfArNLJEp6NCvMaUQL/dnTRTfHL12 EccZlhSMkgItZpaaAnp0uQCCQpitS9H5IWPkfRELa2wppC7/J+ORwSJ8fEx1 M0BBfr/QQ/WoFhY10QstHCjoJ/c8FRh8tP8PvnJXzw== "]]}, Annotation[#, "Charting`Private`Tag$28198#1"]& ]}, {}}, AspectRatio->NCache[GoldenRatio^(-1), 0.6180339887498948], Axes->{True, True}, AxesLabel->{None, None}, AxesOrigin->{0, 0}, DisplayFunction->Identity, Frame->{{False, False}, {False, False}}, FrameLabel->{{None, None}, {None, None}}, FrameTicks->{{Automatic, Automatic}, {Automatic, Automatic}}, GridLines->{None, None}, GridLinesStyle->Directive[ GrayLevel[0.5, 0.4]], ImagePadding->All, Method->{ "DefaultBoundaryStyle" -> Automatic, "DefaultGraphicsInteraction" -> { "Version" -> 1.2, "TrackMousePosition" -> {True, False}, "Effects" -> { "Highlight" -> {"ratio" -> 2}, "HighlightPoint" -> {"ratio" -> 2}, "Droplines" -> { "freeformCursorMode" -> True, "placement" -> {"x" -> "All", "y" -> "None"}}}}, "DefaultMeshStyle" -> AbsolutePointSize[6], "ScalingFunctions" -> None, "CoordinatesToolOptions" -> {"DisplayFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& ), "CopiedValueFunction" -> ({ (Identity[#]& )[ Part[#, 1]], (Identity[#]& )[ Part[#, 2]]}& )}}, PlotRange->{{-5, 50}, {0., 345.26943998635636`}}, PlotRangeClipping->True, PlotRangePadding->{{ Scaled[0.02], Scaled[0.02]}, { Scaled[0.05], Scaled[0.05]}}, Ticks->{Automatic, Automatic}]], "Output", CellChangeTimes->{{3.8828708873272448`*^9, 3.882870905891152*^9}, 3.882871740118313*^9, 3.882871872632328*^9, 3.88287214039114*^9, 3.882873144037532*^9, 3.882873467724246*^9, 3.8828736639473057`*^9, 3.8828739675576878`*^9, 3.882874555421548*^9, 3.883105865169652*^9, 3.883110007000498*^9, {3.883110253678253*^9, 3.883110270678035*^9}, 3.883110486084037*^9, 3.883468963591229*^9, 3.883473343001748*^9, 3.883479399961771*^9, 3.883479651663865*^9, 3.883553885440947*^9, 3.883646090926628*^9, 3.883646571488081*^9}, CellLabel-> "Out[118]=",ExpressionUUID->"d9074324-3e7b-49a3-815f-cb3ef58357e9"] }, Open ]] }, WindowSize->{1389.75, 768.75}, WindowMargins->{{0, Automatic}, {0, Automatic}}, Magnification:>1.1 Inherited, FrontEndVersion->"13.0 for Linux x86 (64-bit) (December 2, 2021)", StyleDefinitions->"Default.nb", ExpressionUUID->"c2226758-f5e5-41da-a1ed-c03427c0627f" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[558, 20, 2336, 54, 174, "Input",ExpressionUUID->"ad6df89e-d3d8-490c-ae91-dac6d80d1b5a"], Cell[2897, 76, 2801, 74, 200, "Input",ExpressionUUID->"2fc4ef7c-d275-441b-9d3d-7d7239f74130"], Cell[CellGroupData[{ Cell[5723, 154, 2495, 57, 79, "Input",ExpressionUUID->"c2ad0be7-22ee-4300-8ad8-45a6e113c1b0"], Cell[8221, 213, 9677, 174, 259, "Output",ExpressionUUID->"adac3eb3-351b-4931-9575-e2c0f789a3f1"] }, Open ]], Cell[CellGroupData[{ Cell[17935, 392, 2179, 53, 79, "Input",ExpressionUUID->"22f1491b-05f8-4461-9d8a-7023940b0eba"], Cell[20117, 447, 1817, 25, 37, "Output",ExpressionUUID->"fa75ed66-267b-4eeb-bd38-cb3311c36088"] }, Open ]], Cell[21949, 475, 420, 10, 42, "Input",ExpressionUUID->"0b790137-d050-4e54-820e-ce3bbd34ede5"], Cell[CellGroupData[{ Cell[22394, 489, 1091, 29, 58, "Input",ExpressionUUID->"444da03a-39cf-4c3d-bb1b-9d322299f630"], Cell[23488, 520, 1297, 18, 37, "Output",ExpressionUUID->"387de70c-0df1-4af5-ab2f-038dd3f17d3e"] }, Open ]], Cell[CellGroupData[{ Cell[24822, 543, 2053, 50, 116, "Input",ExpressionUUID->"7835cc6b-0406-456f-a3a3-ab6f89b509c7"], Cell[26878, 595, 1321, 19, 37, "Output",ExpressionUUID->"decc104e-e4ab-4417-a933-fcf86b815057"] }, Open ]], Cell[CellGroupData[{ Cell[28236, 619, 1393, 36, 58, "Input",ExpressionUUID->"fc251146-842e-4797-bd33-46971b36a427"], Cell[29632, 657, 7205, 134, 260, "Output",ExpressionUUID->"cbf0ca72-c6a2-402d-87f9-4bf3c9ee4130"] }, Open ]], Cell[36852, 794, 397, 10, 33, "Input",ExpressionUUID->"700162e1-a626-4c8d-a329-bbb787d8421f"], Cell[CellGroupData[{ Cell[37274, 808, 1356, 40, 111, "Input",ExpressionUUID->"c32958ba-7ddc-4867-b2dd-1fa3dd43d8ea"], Cell[38633, 850, 836, 12, 37, "Output",ExpressionUUID->"0fa21feb-777f-458b-ab6c-cb7e09ed4493"] }, Open ]], Cell[39484, 865, 1575, 44, 111, "Input",ExpressionUUID->"75241ed7-817c-4778-b63c-fc8ddf258a79"], Cell[CellGroupData[{ Cell[41084, 913, 575, 13, 33, "Input",ExpressionUUID->"0c53d04a-d321-40e7-bd01-78ab6fb12897"], Cell[41662, 928, 8548, 160, 260, "Output",ExpressionUUID->"62074ccc-b8c4-4c81-84c2-596dd900eaa9"] }, Open ]], Cell[CellGroupData[{ Cell[50247, 1093, 1453, 33, 116, "Input",ExpressionUUID->"a7903930-b537-4744-afa4-508c0f6775c1"], Cell[51703, 1128, 6515, 125, 261, "Output",ExpressionUUID->"36cc1f20-ad7c-44e2-b367-b72d476bffe4"] }, Open ]], Cell[CellGroupData[{ Cell[58255, 1258, 2000, 45, 104, "Input",ExpressionUUID->"41107c73-e600-4079-9938-9536a9f8a8eb"], Cell[60258, 1305, 27523, 476, 260, "Output",ExpressionUUID->"23580ef2-7be4-4f5b-806e-abe050ffb5b4"] }, Open ]], Cell[87796, 1784, 6880, 197, 339, "Input",ExpressionUUID->"2d742f3b-e2e0-47c6-baf7-86eb7d257d8e"], Cell[CellGroupData[{ Cell[94701, 1985, 2354, 45, 100, "Input",ExpressionUUID->"c4aefd0e-3506-41fc-bf66-96c712b2ce79"], Cell[97058, 2032, 1193, 22, 49, "Message",ExpressionUUID->"1e70674e-2d95-453b-8923-d24882c03633"], Cell[98254, 2056, 240, 3, 37, "Output",ExpressionUUID->"92824ba5-dd87-46df-8448-fb20f88b5db8"] }, Open ]], Cell[CellGroupData[{ Cell[98531, 2064, 612, 13, 35, "Input",ExpressionUUID->"ccada756-7348-46c1-b563-ab963b6bc06c"], Cell[99146, 2079, 316, 5, 37, "Output",ExpressionUUID->"f69a6221-fe1a-417f-8943-118659662b7d"] }, Open ]], Cell[CellGroupData[{ Cell[99499, 2089, 561, 11, 33, "Input",ExpressionUUID->"944ca04b-356e-4d0c-8a5f-3da8872641bc"], Cell[100063, 2102, 558, 12, 30, "Message",ExpressionUUID->"1b26f97f-a919-4e65-b802-c0e84e48f164"], Cell[100624, 2116, 835, 16, 49, "Message",ExpressionUUID->"6baa4477-4702-4e22-b710-e08fe861a39d"], Cell[101462, 2134, 38696, 652, 255, "Output",ExpressionUUID->"c72ffc59-be8f-4100-b372-149385c4c24c"] }, Open ]], Cell[CellGroupData[{ Cell[140195, 2791, 3213, 87, 174, "Input",ExpressionUUID->"63a117cb-1305-4d2e-b025-0ad6c987fd15"], Cell[143411, 2880, 1131, 20, 49, "Message",ExpressionUUID->"acaa67c8-da85-4329-9d60-3ef3e169e14b"], Cell[144545, 2902, 1133, 20, 49, "Message",ExpressionUUID->"75f496c9-8be4-428c-8d7a-c312e1eb1bdb"], Cell[145681, 2924, 1128, 20, 49, "Message",ExpressionUUID->"df80c598-6667-46a6-b3fa-e0b3f24f3318"], Cell[146812, 2946, 829, 15, 30, "Message",ExpressionUUID->"d22b1946-3532-49d3-8853-906c004939b9"], Cell[147644, 2963, 856, 16, 30, "Message",ExpressionUUID->"bc1925f6-6acb-4fdb-9a4e-be151fa8aa8c"], Cell[148503, 2981, 858, 16, 30, "Message",ExpressionUUID->"b3b6984a-bda6-4380-8bb1-40faee5c742c"], Cell[149364, 2999, 856, 16, 30, "Message",ExpressionUUID->"30e991dc-8491-4a32-a8ce-7c38f95fce67"], Cell[150223, 3017, 829, 15, 30, "Message",ExpressionUUID->"d3eac43d-3663-4397-b98a-e9825915d1c8"], Cell[151055, 3034, 1145, 20, 49, "Message",ExpressionUUID->"238e443b-7056-4cac-aeec-d217b810de1e"], Cell[152203, 3056, 1130, 20, 49, "Message",ExpressionUUID->"66f7af3d-ad01-4c24-a5aa-bd50ccc04b9c"], Cell[153336, 3078, 1132, 20, 49, "Message",ExpressionUUID->"4c17cac6-d72f-4bd8-b09f-f5e1660e0924"], Cell[154471, 3100, 829, 15, 30, "Message",ExpressionUUID->"00cce1d0-5c2b-4234-bd8e-5d86460a49d2"], Cell[155303, 3117, 1130, 20, 49, "Message",ExpressionUUID->"c5982aae-b0bd-4b58-a390-47edc2e99c5b"], Cell[156436, 3139, 1130, 20, 49, "Message",ExpressionUUID->"3cbdaeb6-aec8-48c0-8142-35c9a3701759"], Cell[157569, 3161, 1129, 20, 49, "Message",ExpressionUUID->"ba052ba5-effb-4ee5-8a3d-b326d543b16a"], Cell[158701, 3183, 827, 15, 30, "Message",ExpressionUUID->"19f2f973-6bbf-4a88-b834-2d1c1b31e304"] }, Open ]], Cell[CellGroupData[{ Cell[159565, 3203, 770, 13, 33, "Input",ExpressionUUID->"763b3918-bc83-44af-84f4-82b8d9fdad84"], Cell[160338, 3218, 15658, 271, 248, "Output",ExpressionUUID->"a557a8f4-eb86-4eb7-956b-9843fd84d56e"] }, Open ]], Cell[CellGroupData[{ Cell[176033, 3494, 2752, 61, 221, "Input",ExpressionUUID->"f395d881-914c-4fc7-9c61-ed68156165b5"], Cell[178788, 3557, 30347, 554, 78, "Output",ExpressionUUID->"738a5454-8067-4a07-a08f-c395fbbe6a7c"], Cell[209138, 4113, 30517, 558, 78, "Output",ExpressionUUID->"ef047b77-c9e1-48b0-9176-4d18d3e7b454"], Cell[239658, 4673, 30963, 564, 78, "Output",ExpressionUUID->"1df5165b-5b12-4644-914b-d98b7bd14019"], Cell[270624, 5239, 30822, 563, 78, "Output",ExpressionUUID->"f85d8381-8392-4276-aedc-81a22985fe64"], Cell[301449, 5804, 29807, 546, 78, "Output",ExpressionUUID->"f98fc3e0-6cee-402d-8d1b-4f309effcae4"], Cell[331259, 6352, 29274, 535, 78, "Output",ExpressionUUID->"65bfed5e-1669-4a32-b452-d77b64066c1c"], Cell[360536, 6889, 29111, 532, 78, "Output",ExpressionUUID->"756296af-56fa-4651-8938-2bd637947076"], Cell[389650, 7423, 24455, 419, 429, "Output",ExpressionUUID->"b5fae811-db23-49b6-bd05-0d864af742fc"] }, Open ]], Cell[414120, 7845, 150, 3, 33, "Input",ExpressionUUID->"4110d7b4-eea5-4a31-bb44-0cfe6630cd3c"], Cell[CellGroupData[{ Cell[414295, 7852, 888, 20, 37, "Input",ExpressionUUID->"745956bd-cee1-4b9e-be2b-5f3aa5cbb78f"], Cell[415186, 7874, 985, 13, 37, "Output",ExpressionUUID->"07cc0b00-fefa-4a4b-bbdb-ac3ae446b746"] }, Open ]], Cell[CellGroupData[{ Cell[416208, 7892, 1003, 18, 50, "Input",ExpressionUUID->"84ddf410-1206-4db4-8163-fea78d05a9fa"], Cell[417214, 7912, 5709, 111, 265, "Output",ExpressionUUID->"c01d882c-7bc5-41b2-abc1-c061674a0b59"] }, Open ]], Cell[CellGroupData[{ Cell[422960, 8028, 2494, 74, 125, "Input",ExpressionUUID->"dbfa69a4-38ff-4a4c-96a5-19b8ca17951b"], Cell[425457, 8104, 634, 9, 37, "Output",ExpressionUUID->"5c648bfa-22f7-42ba-8232-df618452e3d3"] }, Open ]], Cell[426106, 8116, 867, 18, 33, "Input",ExpressionUUID->"93967aaa-fb32-46f7-b27c-892da0b16278"], Cell[CellGroupData[{ Cell[426998, 8138, 472, 9, 33, "Input",ExpressionUUID->"fd99e280-b87a-49dd-a288-5fe39a52e19d"], Cell[427473, 8149, 886, 14, 37, "Output",ExpressionUUID->"5727cbd4-0e99-4a16-80b9-f12c8b39d2c0"] }, Open ]], Cell[428374, 8166, 509, 10, 33, "Input",ExpressionUUID->"79a457e4-2694-4aff-b91a-36c1c1457a0a"], Cell[CellGroupData[{ Cell[428908, 8180, 885, 23, 33, "Input",ExpressionUUID->"21c7637c-3a09-41a5-b3ab-b8f8756d6a35"], Cell[429796, 8205, 1090, 26, 57, "Output",ExpressionUUID->"45f265b0-7fad-44c5-a170-d9c74ce16fb9"] }, Open ]], Cell[CellGroupData[{ Cell[430923, 8236, 671, 17, 33, "Input",ExpressionUUID->"2a836ba1-d54a-4276-b9f3-4a104a1093f6"], Cell[431597, 8255, 1046, 24, 55, "Output",ExpressionUUID->"cf6e18ab-f129-463a-b5ec-c286dc6be2fa"] }, Open ]], Cell[432658, 8282, 5560, 149, 179, "Input",ExpressionUUID->"3dbd2157-139e-479f-a496-5c8a60d09330"], Cell[CellGroupData[{ Cell[438243, 8435, 1781, 53, 108, "Input",ExpressionUUID->"b024508b-6d27-4ffa-ab07-de4ed8a4b834"], Cell[440027, 8490, 566, 8, 37, "Output",ExpressionUUID->"ab524278-5280-4533-bdb0-719f22f75b42"] }, Open ]], Cell[440608, 8501, 81, 0, 33, "Input",ExpressionUUID->"bf441233-f9c9-4a42-9b46-8f57bbd8708a"], Cell[CellGroupData[{ Cell[440714, 8505, 599, 11, 33, "Input",ExpressionUUID->"5f437c91-8022-415a-8eed-7828551b0fce"], Cell[441316, 8518, 6010, 115, 385, "Output",ExpressionUUID->"a1617e8a-367e-413c-a3a3-f91c30c4809f"] }, Open ]], Cell[447341, 8636, 388, 8, 33, "Input",ExpressionUUID->"5afa8d22-b29c-4441-90a8-81bd28869b4d"], Cell[447732, 8646, 1772, 35, 174, "Input",ExpressionUUID->"61d6b91a-da6f-40e2-b99d-e31866f61d8d"], Cell[449507, 8683, 1402, 41, 111, "Input",ExpressionUUID->"fe2e92bd-99ee-4847-8c87-958f9c8e2ae0"], Cell[CellGroupData[{ Cell[450934, 8728, 508, 12, 33, "Input",ExpressionUUID->"11a1b2f9-f071-4cbb-8745-8b989c037646"], Cell[451445, 8742, 18804, 330, 262, "Output",ExpressionUUID->"568992e3-4056-41ce-b4b2-0548ecfaea44"] }, Open ]], Cell[CellGroupData[{ Cell[470286, 9077, 2049, 45, 104, "Input",ExpressionUUID->"e4b1105f-d069-4328-b182-1cb800c3aa9c"], Cell[472338, 9124, 57017, 960, 262, "Output",ExpressionUUID->"4e0e9a87-dae9-4701-bc4f-08a903ba276f"] }, Open ]], Cell[CellGroupData[{ Cell[529392, 10089, 1238, 30, 100, "Input",ExpressionUUID->"12b6b67b-c03b-421d-97ea-f2051e4c3776"], Cell[530633, 10121, 802, 15, 49, "Message",ExpressionUUID->"8df1bdc9-b19b-478a-9e84-d2a3c35814f7"], Cell[531438, 10138, 383, 6, 37, "Output",ExpressionUUID->"fba92c56-feaf-4a99-9da1-29983ca33278"] }, Open ]], Cell[CellGroupData[{ Cell[531858, 10149, 561, 11, 33, "Input",ExpressionUUID->"aa907d73-e27d-4992-8b65-eac5ef728757"], Cell[532422, 10162, 854, 16, 49, "Message",ExpressionUUID->"33b303cb-ac5f-4705-bd17-6ddffec387a6"], Cell[533279, 10180, 28588, 488, 248, "Output",ExpressionUUID->"562691d6-9525-46b6-9020-08ec1d6523b4"] }, Open ]], Cell[CellGroupData[{ Cell[561904, 10673, 3034, 85, 174, "Input",ExpressionUUID->"bb3960f3-8cb7-4917-b64f-e3364369e663"], Cell[564941, 10760, 645, 13, 30, "Message",ExpressionUUID->"f57396df-5e49-4116-94db-f802fa009a5a"], Cell[565589, 10775, 921, 17, 49, "Message",ExpressionUUID->"a09633a1-57c2-4510-b1f7-dd86b2355f40"], Cell[566513, 10794, 645, 13, 30, "Message",ExpressionUUID->"f7a6b6d4-64e3-478c-b750-2900cae7b20d"], Cell[567161, 10809, 917, 17, 49, "Message",ExpressionUUID->"8f190cdf-7eed-49e6-b40c-f37074e69401"], Cell[568081, 10828, 645, 13, 30, "Message",ExpressionUUID->"bbef7e88-2729-4aad-8695-a47a02e152f5"], Cell[568729, 10843, 618, 12, 30, "Message",ExpressionUUID->"9222386d-483c-46ec-99d8-175ec13380e2"], Cell[569350, 10857, 917, 17, 49, "Message",ExpressionUUID->"dc2f8bf5-cfbb-4626-8e99-f637876fd1f8"], Cell[570270, 10876, 616, 12, 30, "Message",ExpressionUUID->"457b94fd-e389-4058-9d69-e9d798d8d0e0"], Cell[570889, 10890, 923, 17, 49, "Message",ExpressionUUID->"17667830-2870-428f-ac96-33e640a1924b"], Cell[571815, 10909, 929, 17, 49, "Message",ExpressionUUID->"89d2ee98-4f03-44d7-94a3-5e4e3fdba85d"], Cell[572747, 10928, 925, 17, 49, "Message",ExpressionUUID->"a947bb62-ce6a-4dec-b2ba-29219b0d80ef"], Cell[573675, 10947, 922, 17, 49, "Message",ExpressionUUID->"2b153c83-4502-4c60-ae35-edc15770dcb0"], Cell[574600, 10966, 922, 17, 49, "Message",ExpressionUUID->"d2fdd3c3-a591-4232-a92c-c2a4a41c5130"], Cell[575525, 10985, 617, 12, 30, "Message",ExpressionUUID->"0800c2ba-8f86-4b71-a93f-2fa508494711"] }, Open ]], Cell[576157, 11000, 2639, 83, 223, "Input",ExpressionUUID->"d559092d-edc7-4d06-a702-6eff5ba0a662"], Cell[CellGroupData[{ Cell[578821, 11087, 425, 9, 33, "Input",ExpressionUUID->"6e0c70ae-f2e7-4846-95d3-a013dc639521"], Cell[579249, 11098, 15673, 274, 248, "Output",ExpressionUUID->"5829d168-784a-4a4c-9a6d-a4db4d3e5291"] }, Open ]], Cell[CellGroupData[{ Cell[594959, 11377, 2231, 55, 221, "Input",ExpressionUUID->"d9505bf0-29d1-406a-8f06-1985e55de13f"], Cell[597193, 11434, 28536, 524, 78, "Output",ExpressionUUID->"a55a4e1c-d928-4ab3-b8a1-ad4588b2ea17"], Cell[625732, 11960, 28488, 522, 78, "Output",ExpressionUUID->"1efa135f-0f84-4ed3-ab9c-ccc98c11fc70"], Cell[654223, 12484, 27904, 512, 78, "Output",ExpressionUUID->"192eb4ee-0e49-46ea-a75c-d7531d9aab82"], Cell[682130, 12998, 27595, 505, 78, "Output",ExpressionUUID->"7ebe831a-752e-4921-a44d-666230555ab1"], Cell[709728, 13505, 27641, 507, 78, "Output",ExpressionUUID->"31380ae5-13ec-462f-8ead-71e7a7dbd604"], Cell[737372, 14014, 27841, 511, 78, "Output",ExpressionUUID->"5c6e8ab5-664f-406b-86c4-b5791e49c568"], Cell[765216, 14527, 29082, 532, 78, "Output",ExpressionUUID->"d9d2f208-91ba-45f6-91f1-796d024440a9"], Cell[794301, 15061, 5052, 103, 531, "Output",ExpressionUUID->"e89eaa4a-d9c1-4ce7-b649-3804447d7473"] }, Open ]], Cell[CellGroupData[{ Cell[799390, 15169, 733, 16, 35, "Input",ExpressionUUID->"73fcd4a8-f07c-4668-a074-8d6edd4e9c5c"], Cell[800126, 15187, 1210, 18, 37, "Output",ExpressionUUID->"b292c6e4-b561-40fc-b3d8-c2d5ffcbf75c"] }, Open ]], Cell[CellGroupData[{ Cell[801373, 15210, 840, 16, 57, "Input",ExpressionUUID->"4207567b-0a7c-4cc5-81be-75f2e42df3dc"], Cell[802216, 15228, 19783, 342, 263, "Output",ExpressionUUID->"9e1cea23-ebdd-41ff-a932-0e63fd83a6ae"] }, Open ]], Cell[CellGroupData[{ Cell[822036, 15575, 332, 8, 33, "Input",ExpressionUUID->"cee43495-67e9-47c2-94dc-2d657d1fab18"], Cell[822371, 15585, 601, 10, 37, "Output",ExpressionUUID->"40bc411b-3dce-416d-8a82-8c2dff81180d"] }, Open ]], Cell[822987, 15598, 1890, 61, 79, "Input",ExpressionUUID->"f7780dc9-ccdb-4a12-879b-505da55785a3"], Cell[CellGroupData[{ Cell[824902, 15663, 379, 9, 33, "Input",ExpressionUUID->"8bb8b6c3-f74e-4505-9b6f-d5978af920f2"], Cell[825284, 15674, 5204, 104, 250, "Output",ExpressionUUID->"82f73742-453d-47e3-bda1-ae0d720a3c57"] }, Open ]], Cell[830503, 15781, 292, 7, 33, "Input",ExpressionUUID->"c6deb938-a60b-48ff-8b90-a74d7ae9e157"], Cell[830798, 15790, 816, 16, 50, "Input",ExpressionUUID->"6753751b-a669-450c-821a-0e2864446c1a"], Cell[831617, 15808, 307, 8, 33, "Input",ExpressionUUID->"dc4db538-b681-426a-acc4-ce255c7c1d15"], Cell[CellGroupData[{ Cell[831949, 15820, 1086, 22, 35, "Input",ExpressionUUID->"c96e0fd9-189c-4e48-b6f8-cbbdb9d07d41"], Cell[833038, 15844, 109144, 1829, 408, "Output",ExpressionUUID->"50cfca80-7df8-4250-8e2d-77fd73d0650c"] }, Open ]], Cell[942197, 17676, 5757, 147, 555, "Input",ExpressionUUID->"e57ddf1c-67e2-47a7-9bb7-4c7dc728e854"], Cell[947957, 17825, 7733, 178, 571, "Input",ExpressionUUID->"7d563751-9dd5-4e27-9845-46f525c48682"], Cell[955693, 18005, 7354, 208, 456, "Input",ExpressionUUID->"8d9835d3-d38e-4b8f-aeda-dab1a09c92c0"], Cell[963050, 18215, 7052, 204, 482, "Input",ExpressionUUID->"913bc2a8-096a-4da1-b7be-58d029b36d1a"], Cell[CellGroupData[{ Cell[970127, 18423, 3592, 61, 93, "Input",ExpressionUUID->"b0bf33f5-97ee-414f-b509-6dfa628674e2"], Cell[973722, 18486, 1022, 17, 30, "Message",ExpressionUUID->"e62317df-4e99-4965-93f3-f40747105193"], Cell[974747, 18505, 1020, 17, 30, "Message",ExpressionUUID->"2613847f-4840-4c2c-9761-2d86c484ecd9"], Cell[975770, 18524, 144597, 2463, 558, "Output",ExpressionUUID->"3888c766-54c9-48ae-a45a-dc4c8caa44f9"], Cell[1120370, 20989, 1023, 17, 30, "Message",ExpressionUUID->"04d43607-1b52-4934-b418-1eb0e30f7594"], Cell[1121396, 21008, 1020, 17, 30, "Message",ExpressionUUID->"6f216c43-9a76-4a78-87a8-dd0c8a60b525"], Cell[1122419, 21027, 8347, 148, 344, "Output",ExpressionUUID->"bf174752-48c1-410c-b26b-28be42cf0f1f"] }, Open ]], Cell[1130781, 21178, 131, 3, 33, "Input",ExpressionUUID->"04292cc5-c934-4329-a9c5-85b2278343df"], Cell[1130915, 21183, 381, 10, 33, "Input",ExpressionUUID->"50a3db6b-50c1-4c63-a4b6-e0a5ab5b7a7c"], Cell[CellGroupData[{ Cell[1131321, 21197, 964, 21, 50, "Input",ExpressionUUID->"c36da682-78eb-4479-a88a-6d8ffe69fdb8"], Cell[1132288, 21220, 118916, 1980, 409, "Output",ExpressionUUID->"5d6b7975-54f9-4f76-9afe-74ad694852e3"] }, Open ]], Cell[CellGroupData[{ Cell[1251241, 23205, 1076, 23, 50, "Input",ExpressionUUID->"19052f96-5012-4bb8-8d61-ab162fcff6b3"], Cell[1252320, 23230, 164815, 2741, 409, "Output",ExpressionUUID->"5a40e7d1-446e-457a-9279-37c87371dec5"] }, Open ]], Cell[CellGroupData[{ Cell[1417172, 25976, 858, 22, 33, "Input",ExpressionUUID->"810cff79-47ba-476e-87f6-c3e7e8c9c39c"], Cell[1418033, 26000, 14262, 259, 259, "Output",ExpressionUUID->"665c9ce6-aabc-4938-9ea3-804267957125"] }, Open ]], Cell[CellGroupData[{ Cell[1432332, 26264, 984, 25, 33, "Input",ExpressionUUID->"7a20b6d1-898d-48d7-a70e-0612fe4c9344"], Cell[1433319, 26291, 18915, 338, 256, "Output",ExpressionUUID->"87302cc8-2b37-427e-ae3f-967f24d3fca9"] }, Open ]], Cell[CellGroupData[{ Cell[1452271, 26634, 447, 11, 33, "Input",ExpressionUUID->"13bdecf0-e0fe-4fe7-bb03-54c065ce665b"], Cell[1452721, 26647, 4121, 86, 266, "Output",ExpressionUUID->"d9074324-3e7b-49a3-815f-cb3ef58357e9"] }, Open ]] } ] *)