(* Content-type: application/mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 7.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 145, 7] NotebookDataLength[ 127495, 2389] NotebookOptionsPosition[ 126034, 2334] NotebookOutlinePosition[ 126459, 2350] CellTagsIndexPosition[ 126416, 2347] WindowFrame->Normal*) (* Beginning of Notebook Content *) Notebook[{ Cell[CellGroupData[{ Cell[TextData[{ "\:041c\:0430\:0442\:0435\:043c\:0430\:0442\:0438\:0447\:0435\:0441\:043a\ \:0438 \:0430\:043d\:0430\:043b\:0438\:0437:\n\:043e\:0431\:043b\:0430\:0441\ \:0442\:0438 \:0432 ", Cell[BoxData[ FormBox[ SuperscriptBox["\[DoubleStruckCapitalR]", "2"], TraditionalForm]], "None"], " " }], "Title", CellChangeTimes->{{3.564459572561554*^9, 3.5644595762431602`*^9}, { 3.5644625169004126`*^9, 3.564462539941653*^9}, 3.564479653504242*^9}, TextAlignment->Center, FontSize->72], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"\:0418\:0437\:043e\:0431\:0440\:0430\:0437\:044f\:0432\:0430\:043d\ \:0435", " ", "\:043d\:0430", " ", "\:043e\:0431\:043b\:0430\:0441\:0442\:0438", " ", "\:0432", " ", SuperscriptBox["\[DoubleStruckCapitalR]", "2"]}]], "Section", CellChangeTimes->{{3.5644607054688306`*^9, 3.564460713144044*^9}}, TextAlignment->Center, FontSize->36], Cell[CellGroupData[{ Cell["\:041f\:0440\:0438\:043c\:0435\:0440 1", "Subsection", CellChangeTimes->{{3.5644608694095187`*^9, 3.56446087031432*^9}}], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"a", "=", RowBox[{"RegionPlot", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{"x", "+", "y"}], "\[LessEqual]", "1"}], " ", "&&", " ", RowBox[{ RowBox[{"y", "-", RowBox[{"Sin", "[", RowBox[{"2", "x"}], "]"}]}], "<", "0.3"}], "&&", " ", RowBox[{ RowBox[{ RowBox[{"5", "y"}], "+", RowBox[{"4", "x"}]}], "<", "1"}], "&&", RowBox[{"y", "\[GreaterEqual]", RowBox[{"-", "0.8"}]}], " ", "&&", RowBox[{"y", " ", "\[LessEqual]", " ", RowBox[{"x", "+", "1"}]}]}], " ", ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"Axes", "\[Rule]", "True"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.564460411525514*^9, 3.5644606114786654`*^9}, { 3.5644606779815826`*^9, 3.564460678184383*^9}, {3.564462802599314*^9, 3.564462890411868*^9}, {3.5915980073775005`*^9, 3.591598054712208*^9}}], Cell[BoxData[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJxlmHtcVNUWx8HXR72OqdfURgtLk1GjlI8Htav3mOPren3MJW8PoskU0ByK 8tlwFa10NI3yMVgpgWOiogZGqYEjS5BBBpQAwUEQZGBm5JXAARUBmUtz+O3p c5x/9ud71tn7rLX2euw9z68I8w/u4eHh8b2nh8efo89Tr45VKx/R5ys/uMjp 71LBhe/8Zfb7jDctf7jNqBMYTxtyRm1R3WMsHa/9Om6E3lLBeOKArBobV8i4 NaV/pE5IYWwUmQePEt9nnCGuxzhcHBlPEvVhvE7Ul5faA71gDxj6gaEfGPqB oR8Y+oGhn3R9jFgfjPXBWB+M9aXzMWI+GPOlcozbXPo9JG/XezbKdq3fyLjS 9V4J4yIX1/Lgsa6xhb3nJT7nwbAfXOMas9lYID7nwR6uX6oRY474nAeXuLiN xQviFfrAHvgbo9QePEe8SO2DHPEitU/qf6ne8G+v4KNvCfI2muTSs4Y+Dym9 n2Co58NdcVdJ11zr23mdS28L4f1C8TktPP/eOZW6mcf8N5LzG8yaVsL8eJnn ToPxAc102VHORsgV4jwez9eKz/k8l3155OuyI4OGXfxT31NsjHHpf4rHOFR8 j8UL/I94AZeJ/mMMv4LhRzD8Dc4U12MMe2H/kf7fLFIkNjHeLfqTMfwGht1g +ANcfmnzVaezgZeuh3WkI/wKxnxwtKgfY8Qn1sd+gR3ifMaop2DpyOpcN0Mf MIvrbkZcSeOPrdsd/2DoD0b9lOoL+8DYZ+gPOeqDtF7ADsyX2sXqe7d9YNQJ rAeGHPkHORhy1BPIwaw/dNcjyMGQI/8hB0MO/4FhL+oF9EUe4Dm4/f1Jz2ll 95kfkKdg5CcYeQneJO43Y+S7NB6QF/geni8R6w1j1D/Mh5x9r7t/gmEPGPUF jHoJRn0Bo26C00T7GaOfgX1EOxijP7J86K6vLF+6+5FUf+wn6gviDoy8Qr2D HPoizrAfsAvzkQ+Yz+rHl8Jjs6aROl374M4XfA/+xn4hfuBnxAdG6IH34G8w 9gMj4hvxB8b68C/WR75gPTC+g/1CnEJ/2Iv6A/550Lo0eXY7SfcX6yOepX0K fsZz6Id4xX6i3uJ7YOl5FO8j7vE+WHpexfv4Pt5HPECOOIAc9kEOf0GO+IUc /mf9pzt+IUd8S/0rrZeIJ/gJ8YR4wf6D4Rf4G/Ow7t+MvxY7eQd9bxpfYpP9 wc5L6BdthsabTt59XzAVBx5XlZcSb+qbzhU2M7/LhZ7VNq6IMacZlis/6j5f YdytsAYLhwoo+dDKRwkGd1zDXyHzpqywqK4x/676dFWdue4U24/2zLyznP4S /0Xrhhwn/cFrcwNPa1ZbydTReUKjaqagLY4dhkAL6ZddTlA95x7PmlIucXMc fOr8F+22opt0L9Hvd2dsO/2Wl9RX/20N7X8r6nHCa62M20a9G2zRtVH1/DHT lV35PM2zZaK6qoXJb8f7B8h2NDHuEbdisHZxPeNFD7w+suy1M/b5JiVKc7KM 8eXJ3FLFK3mMvzsaMVeRGMd4ypDT/zPqTDx4pyNgu2FGMeO25z8OFkoqGZ8V R8ZJ1FYkn9DIeODw6BOaXc2MY00XD+gUDynYN22i0nCb5JxfqW1DPQXpmqcq k+30Vmq/12Vx7tHGp0cYM6toTfH1ZbI4Gy0Zv7ferCyhjYt2+CgNpXQ+vEeK KrWRn7tt0HHNahvt29I3QNbVP1N/2POhxWanexMi2hI8a/mEkjFJXOFtcuyL PqxLEkh6vzizOI1XNBTTqhGjC52WalbPdoX3ChG6+l/ctgFLFF3xe66obolw 6Hd69sj4HPnCTGqdHzpKK8ukzhxtOqf/kXqmDsjiQitY/Rkw+M+6pCX/2urD GkU2P++Z6TMUDaf4Nes7thj9MvhZV4VNFo88Vv9x3oO/MidsO67qqm/IG9xf IAfHfxGxy9BlL+oX5MgfMM5XYKwLRh6CkT9g5A0Y+QFG/oCRX2D4G4zzIxj5 z+K32x9LXyo7r+rql/KtiTMVI9tY/Qy9UV7o7DrfQ2/cL6rjN2U7l5ZTwGsd nQeGu8+XI/41bLUQ8GQ/zi7Urbc0WtnzmLC7GdyUSvKdPfyReWIVm3++8vpS QX6HvYc48bXqkzj9bWbPmrLev6nKrRSS/EyjzdD4xP0Q+rHzUfsUb/UBC6V6 Dwy1dPUX6X1x5Jc3R2sjb9CxpTtXC/L8J+7Bc8ZF5jqdF+nY8322G0KLWT9F P252emZy+jS2f5OV6d5q5QV+WFr9P5TaK6xuFz7yGq6VJT9xLlnyivUCpzfz WabyhbK57vib1SskxNLojtfDpl5rhNld/vTZHmkYUEUrtvs8pY0s47O8TbsM RhPllvPTFK9c56O94t+W2ffxuv+OucJNcdeHGZcaa22RzfwizxHJnK2a6qvo sC5G4PcGFu8wBN2lxZ981ZFgaaWvGz9bJSRY6fKF9SbO1kTGzNmzZS/eoaC9 KzvNEytoyq2ayeovrFTWb12YJa+QtAOfDRIO3aDAebWHdX/JZ4ezR7xKnU1N c9oz5NnJtG/3U6nc0Jv8OJdffiH75sEVtnPJFC+O/IN3bpfZ7rvzd5Gwf7oi zMjG5h7fbTMa3f8X4f49+qsF7wiHqgnzpfdh2I94BOM+LOUEv4+idL4OFpeQ g/VDPR6Y69z/V0CO+GP1pfu+LOU+YUO8tJE2kssHVtqi3P0pSJPzT+Utd/8Z olhWYrvv7j+B2sFTldMdjBdH/eCtfFTO+Iirzlaz773R0bPKfLqB8YStu++a R/5BfrE1y4U1dlqp8mswX6kmw8bonYYgB+Ut1xU4qYY29LN7JL7voGO3fVM5 Dwf1OtDpsJntdOLbp3nlX+p/6EcztUbHA/Z9x5kMvW6/m8+L/YqxWtSHsXQ8 Kerv7r8vuPohYyEmIlrn6+aDYv9kvLFik2Cuu+nu98dc/ZvZ31/0J+Nisd8z Xi76n/HlG2OVsrh7lHB9Vq58t43dh1N67i1zbq1y13vvzXEao41SOt8MN85z sPMm/CW9b7P63H2uHrto11HNagerN5CjPoBxngej/oBRz8CDNs/smdh1f0Sf wfd/Kfh0svpKPkXQr58ZjLdYHL/Q9tMOw2YL1V4b22Q+3VUv00MH6ae6+13F 1BFW59Z8dz598O81gvws45be9jdl9nT2/VXifjCuFfePcdMzdRPU2vv0k6u/ FtGn8Rl1tqebqfxgkdV2rpiGiOcbtv5usZ4x9hfPU+586eP6PuPR4vmLfe9r UV/GP4vnNcb5on2MnxXPd4xnivnGeI54HmS8TMxPxgtGN+41jGqi7D3J/RLf t7L7qqf3ySxuaAVF90l5bN7jvq8eU6oO6pJM/IfXomJ1a8/y6ZVDd+r8U9n/ wahruRsGf20wJvGIh49ddh3hM3N+WCqLusrut4PCX36YYK3jx9T1DrTk3SHd oZF3nLECef14uLf+zVIa/Pe3vbTBNn5BZ1yE8eYN6rFq9WfGeQU0o3f2u5a8 XMqfMPWKPDubxpf+PFqtvEjHZ5W/I4ur4FfseSnCYMwhVX1CBresgJ/2eN9/ BHkMbT7jN049ppq3Kj6+wBXeohNZPrlOroPmxGb012uqaf0nib9wLe7zef5a 0/cadTsdbG42aIwO2jhybJbco5XoyxWPDzjvkM3Vz8ro4NwRO3Rr71Drxkux qpgG/r0T509qqispfGdMiCXvFh+w6+K4rmMgPfQ5KdfKLtCl+R86D1hS+SyX vmcpacv6FnOOiR9ztWWSMvERvRrtnydXV1FahKVvotXKziHmsNffE1QPqF+p V4Aw+xaVhL3cYdak0db9C37i9LH8me3rVgptzbTg3oY8+cIb9H962mUB "], {{ {RGBColor[0.798413061722744, 0.824719615472648, 0.968322270542458], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNlmeM0EUQxXcpR/eoBxwghxRpUlXEAtKkKgqIgCgCCsjRjiJ2ioiIBVBp AidYsCICCihKsWui0WjsPfrBxK4xfvS9zO8CH15m/vvf3XkzOzs7rabMHTWn UkrpmpxSZclnhV1CibBTWCtME/YIzwmnCM8L+4RSYb/wgjBbOCgcEOYKLwkv CmXCy8IhYYHwuNBNaC1sFxoJzYSjQgOhqVCM3lBoJ7QVioTFQn2hifCMUC6c iv25rHlSeIQ9HhA6CC2Ec4TO+LULnwqFdfjYSjhP6IKPz+FfPXydje1DcC/C 1zJ4voh/9mcbfrTAnu0qvOlc4TTsHsWP+vAuZs129Ib43Yw9y9m3Of61YP5T +Nxe6Cecjs/r8b+jMBifCrBfAoeNwgZhoNCVOfZ3qdBDaCMMwd/awhns3VLY zH/vs0y4ju8ieJvzWUJPvvtwlv6/VdjC2e2AezE+dcDH61Ocd2PhUfzw/95C J+LZS+gOvwH4lfGjC/4OEi4RqghjUuReHdZ0h08b/C2Ea0/i3oF4mk9//G+J /TOx1Q0erYntOen4mfdmzhThbOEk7JyLrXbEqC3xPw/uFwoXCFXh0hc+5nI+ fMylHxyH4b9t7U5xh/09nLP1vZ4hTOV7BHFxTPamuNvOkZnCaGxfxFgBcepD rDalyBvvtQTezpmLhaHEdpFwKd9j4WduK+BkPuPhYQ6X47P9vQLbtrtGGJki 967CRh32HYNurqNY2wX+BZzPWOx6jyHs4/hcJlSC52TOZRyczOdaYQJ7ToBf VeIzkf0nwrWAGF4pVBNeESbBbRK86zD+ODxscwp2ryGWVTijceiuZ65rNZD7 0aenqF3mvxm9rnAD/zy+E70y+83g3KeiV8Ev+zkIX2YSy9Ho9st1fpZQXTic oh66Xt3IuP2dk6I2VmeslPH6jLu2+S2YL9TCjzn4Mg8/azDPuuvezfzz+EH0 muxRht4Q3XXmFv55/FZhIbYsF6A3QncO3wQHc3b9W0usLNcRT+fvIs7oCP67 Hm1BNmHcdcr5v5wzcPxvJ0aOwx3Ys6078c1+3QVvc76M9ZXYbwl7uqYuTVGf fJ63wfNlfKvN2ArGPXYv4z6LldhdCY/q+L0KDqvgVHEWq+GzGn4VMb+bGFre gz6Z+AzF5hrsTiOOjuGVxMJxcN24OsU7ez9xbkU8/Zb7LXAt85vlGtsRvQVy PeMDObOK89rAPpYb0aeiD8TmJsZ8Xx4kntP4LmRsM5wrzrgxe2xiz2cY97k/ nOLdck1+VTiWjr/N2+D8UIo3uzlzyllbzj/765zcniKXd6A3Q/rbb6LfPr/3 JzNm2xXvpcebwmsrnP3WuaZUIcb34Zf3eYy4Om47ieF0dMfDb5lrlOvVEPTW 2HkSDu3Ri5FPMV5OjOyj+yu/Qc7nEr4LsbGL8QHMKWH/R4mb78Ju/rvvcg1y 3lb0ZL4XpejVkHvQB6N7rnNv7wlje5lTyr4V9Wkf+z8GB/syC7ulzHH9bQDf 3fD3PXCt8V3wndrPXNewA5ype0XfVd+LBXwXEddX0vE+5BBzVuixapDjvd2c oyd3DRgheWGOWr5SsihHX7CQ/b23+8+X4DOJ/X2GvtcH4TWfOWVw9HhNvr2+ 0Ql71Tphnuf8IXTO0X+sl6yWo8cZJjk8x7nNlvyWuMyS/k2KGnet9C9T1MSZ 0r9KUROHSL88x/tdQ3JNjh6qVPLrFLVyhvRPUtRWx+NqYjJX8oMUvWdL6SU5 3vzBkr1yvGu3SS7JUTuaSP6e4t79ILTN0ZP5jA+TV01tP0cONJPclKPncm77 DvtuL2a+8+cY4875UZo7OkfeXSe5OEcdnS+5IEcNvl7yhhx1dIzkpTnO6kdh UI67e6PkTTlq6kLJRTnq9AbJk3L0ONMlp+V4KyZKDs3xXt0l+UuKvvI3oVOO 3vEv4QHpT6fwqTl+/cQZOP7/OBdz1Ic/hVNy3PX/hHtz9Lw1JcfnqKkbJRvl 6Gd9N44SE3M6Qpzm6X9ZjjfqMOP1mHuMuG1Db4o8in6R1o3M0afY/r8pOPSU 3jVHP36xY5ajf6kleUuOeuc8qk4urZUszNGnrpOsl6POjXXO5njH3hY+TFE/ 3xU65tDr5ljvtW+luJPOPdv/OwUHx/7nFPHvL/2LFP1rP+mfp+hrz5f+WYp+ d4D071L0pH2kf5yiP3ZuNs6Rn7b/NnxulV47x5vZV/LTFD30OylqgevAQMnv U/THrwkX5OhXX09RU1xPltrvHG+oz7aY8/U96MFdcO6/lyL/Pff9FPOdO/eT P/dIfiT5hNBe+psp3peGOXKiB3m0nFwqyFEvXCvaSb6RoqeqkyOnnc+/krvO W9/XZdzZu3PYs636Oc7PZ9c9x17ep02O+2z+/wMfFoH1 "]], PolygonBox[CompressedData[" 1:eJwtlfnTj1UYh8+tpEVCi0T0zphQUoRe4bWTkHqzhtKbFllDIqloIaGh6Zem GTNmmmn0ZxRNtNK+Mu3rtFFK5brmPj9cc3/O8z3f5znnPvf9OQ0tS5uXtCql 3A8nw98wPEqZSHwU2qDfJQ6GPnAq454wBH0ZjEXfBLejb4DW6B5wNboF9sMm xjuJXeEk9GiYgn4KjsFdjNcQN8A/MILxJOIseAOuZDyK2B0CvQjWoZ90zegx cD16HrRCL4YH0VvhP1gQub/Hii8oZSE8gHwC+qP7QbuSaz4OIxlPJs6Gf2EU 4+uIc+F/uJvxWuJGmBy5Ztc6Ew7Aq64ZGuE1v8OcXcQu8C10ZHwFcSqMQ98M C8wdDEBfCzPQo+Eq9Jc1t2NhWOQ7/O8E6MR4IzyH7gkXoY8Qp8Mg+AGW8mw9 sYfniP6K2Oy34Xv4CS6GJthrnpjzLLE9tEN/TbwR+sJQxtPh1vr9JehzoD/6 YZgWeSaexS0w0LOMzM0Y12QurZm6n97oMyPfPQymRJ6BuXeOtXZKZO1Zc2/C y9DP3JSsvZlwW8kabLQWYE7dn7loMqc1J849HeaX/M8Q9NTItV5jDaCbPRP0 ePMeWQOeve98HTbz7HliN5gRWfPWujn5sdZAY83pDn7rHDl3N7znuxjfWbLm 56FXwiZzCSsia8zaehzujaxZa9U5EyN7xl6xRtZE1ry1vsWco5dH/ndR/dYy eKTkN++J7HF722f29l9wacke3+BceAZ9CbS1V2A7+mlBXwgD0S9aF5E9Zm+Z sxbGqyPXshwuiMyBe+9ljtCrYDN6mWdgb8I29EpYG+kReoPP5kfWmLW1Ctah e0XW5g446r4Zv1D30A39W12ba3TtZ0TO3V7P7o+6N8/wbfPimomdYL3fivQa c3AH+hviQyXnvAWv1LXYU/bu+Mhatof3WCeMp5X0lPsiPUuvcs+HS/aQvaNn Hao1aO3piZ/XnJgLPaxPpIfqnSPg7Miebao90JXxL/W3AeYg0nP0muFwHuOf q9aTPLu+MLLm56zIHrT3Lodz0V+4xpI93aCXRp59A7xT0qP0JnuqQ2RP2ot6 2kH4s56FZ/J+SQ+w971TPijpAeZLj/+oZM/Za3qsuW4fuRZz7lpOi7xrXJPe pKfpZXrUp7WmrCU9/ZOSPWUv6dEfl+wJe8E74LNao9amd4je/GutzV117d0j vdM9fFjSU/QS7wTvsvMjvdY77buSnux5euazInNmrvQYc90l8mzMuV69r9aa nq23Dq7v12N/rzXs2XjnzUa/VPJu0LNPAD6Lyv4= "]]}]}, {}, {}, {}, {}}, {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl01VTFGAUgOFdVEwU7FbK7i7sIA1UsAM7sQs7sVCxf4+d2N3djY34MFw8 855zvtnZ2YuNzMhMnR8MBAK3uMoPGjg0JN/cU69pB00kiV/2mXpDx+sCFvLb 3ktvakdNJoU/9t7B4u/opIMZwl97H72tXXQowyiw99U72k1TGc4/+yy9qxN1 EYsptM/WezpJl7C06Ecxh/vGybqM5QSZywP3DF3BSkKYx0P3KbqKLErQj0fu 3XUEIylJfx6799A00ilFDE/cY7UdbWnECbdxmsBrc5y+0sq6jwjy7MfZbK7C G/N7dprf6RXOsNVenQ/m5npet+tnjdLa5FKLllxw36HfNFo3sol1bGA9bbjo vb225qu5vn7RA7qferSiDkeoyyfvLfScZmtNPppr6DbOmpvpab3MDPN0XprD dS+VaEoYh6jIC+9d9bnG61iOmQfqBAbRmWduA3QMoyjHaCJZSwVWU541NOGk z2zRt5qpl/QUR83TmErRn6Mqh6nGU+9ldQ9laEwoBynNde8/yTF/1126O1j8 3/oPljxnmw== "]]}}], AspectRatio->1, Axes->True, Frame->True, Method->{"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange->{{-2, 2}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{ 3.5644797336338253`*^9, {3.591598010410674*^9, 3.591598057803385*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"b", "=", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{"x", "+", "y"}], "==", "1"}], " ", ",", " ", RowBox[{ RowBox[{"y", "-", RowBox[{"Sin", "[", RowBox[{"2", "x"}], "]"}]}], "==", "0.3"}], " ", ",", " ", RowBox[{ RowBox[{ RowBox[{"5", "y"}], "+", RowBox[{"4", "x"}]}], "==", "1"}], ",", RowBox[{"y", "\[Equal]", RowBox[{"-", "0.8"}]}], ",", RowBox[{"y", "\[Equal]", RowBox[{"x", "+", "1"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"Axes", "\[Rule]", "True"}]}], "]"}]}]], "Input", CellChangeTimes->{{3.5644606426943207`*^9, 3.564460680867587*^9}, { 3.5644629008482866`*^9, 3.5644629093503017`*^9}, {3.591598069682064*^9, 3.59159809076127*^9}}], Cell[BoxData[ GraphicsBox[GraphicsComplexBox[CompressedData[" 1:eJx1mglcjdn/x5WtwSQmQqFoMJYZ28/ON0uWrIlskyZkbURI2cde9n2YpMGQ UElSxNeaEu3alOrWzW2/W7e9/t3nOd/jpdfrf1/Pq6f3vc9yznf5nHO+z2O2 wnm+o26zZs08Gv9o9+xjIe7kGPbn55A/P9eDi3YXUoKhjJ0ZhzB2YrxJ2NdB lvBDEW5knMHYiXEq4z4zzprPOFsLs7Q78wI0ZzydcaZwXA08Ee6Tj58ZP2Kc yjiQsXDajGroLVwnD2cKX1TBReF7CU5nfIbxVMbHGYv9roT6Bu0ni/VfA7li R1l/NZDGOJhxLGPhb0g5a18y658argjXT2D9U7P7J2AvxkcZi/1TsetH43nh eyVcF/avWP+UcJbxacb7GQuXM1ew34NQ9KkcxH69CG/2HZ8eXSv0swxaiL+P E/1VQueTH+n68Jkxuz+kMGbtA/H+BSD6LRqein4BT7F/EML4HOMgxl6MRfvk wWPRfuQ3SBRPZPeVsHZ8hpOMmX9Yv7L5PrfJcZ+bXIeuS/eh+1I7vJq081yT flC/qJ/Ub7LD9SZ2OtvEjmTXrO9+DwLyA/mF/ER++96PL8LJz+R3igOKC4oT ihuKI4orijOKO4pDikuKU4pbimOKa4pzinvKA8oLyhPKG8ojyivKM8o7ykPK S8pTylvKY8prynPKe9IB0gXSCdIN0hHSFdIZ0h3SIdIl0inSLdIx0jXSOdI9 0kHSSdJN0lHSVdLZ73W3mcUvbQ4dtRiXiXO36UTrxTWAb86agHODMjA/rl+Z 2cMGbreEvbqOe/Pr4beQ7c7BrVNwi1748XmZ9RCpu8RekpjM9Xmy13b/8VHJ mHjsRpdBfeu53/ImpeopaurgyeHXP8cMj+f9aqPfdeYeTQzWb73cc75rHRSx uBhgEdbNvXcd3Kj/X/+ReRG4a62RXJNcy+PIet6US/esa+H5g35rSuaH4MCJ /evsntXA1gu9nCMLzuHq1W9sP56t4XGrScq/LzlUA0tNergnDHADrueDZq+I WXIGXgf8sUAXqyE05eXDZrfDwCB4+YCJa6u/6ZFy2PO8qiro/8ubMaGqSPBd EVg5bWkV6OR2TZrtEg8tav4a6gVVPE//Gio3XzWiCrb/t13H6XQCUFx19jt+ fGePRCi2fNyqwKUS1h4Kje9wOxW2K+/JIrtWcp2oE+KzAiqv6q+fOzYD5jit WLDQvwLGPvCwXhj2BYzHBuVV6FYAevwzwqA6B/aNTl0aVqrh+tNCoX9/sEwD vw4I3OO3QgKUF1MWWBgfPC+Bi5ciCpbYaMCU6Y+j0aOMHBMNGL48qWu7XAo9 Nw9c0fdxOdejDSzPVhwdNdEzIx+6HF2V3XdOOVwr2vvrABsZ2JpEnNlqUA5T mB5RHnv1CnrsmFUI1578MLnEVQ3xl3/v0jCiCHrs9LFLdlRzvSorb+7wtLca wM5zRYJVMeyt9zB9qKeGXlNvOQbcKIbeN+/WdgpQwXqmVz+vd3l+7aIKdCe9 GHZfr5Tluwr6J3rF9D9aCiNH2tu4m6kgrFlu2cE1ZRAteX87TaYE0rdpA+R7 gnyV8KjV7eIT9nIg3fr3t15pOTlysBzkNOJQByVMY/pWN3Ko5n93vu113RTb Jl1VsPmIgh9X6qSovmOhhHS9y/5/mCqg9z/PKpRTlBA//KHG0kTB7yPaRw4R wTPf90pWgsUNLw/PU3JIeCc1DkhVwlKZLMbhuJz57Vu7Fbf+N2n6EhU8XNPB cGZBGQSvd3X8fYUK3AbYFAS9L+N2eCicVwrXoyf3d45Swaf6eiv15VI4FdnB anKWCjIOb+zY7LdSpoPf7LrFZXPnln3UsCXOu5NJnxK4PfmwW8EMNYuTYoAr Vn3ObFRDg0ublqrlxdBheYyht5sa7sYdWJ0eVcT9rizZ7HPmcBEErDI8EuL9 zc9rdcKvB19Xg83mto/yJhZB3obXI4f6qmH8rDFPF1wphOqMNqNznqhZHBeC z8Kn7gNeqSFL0f1deGYBuEv6tql7pwYd43K104UC2Hdix46Q92oed0kd+lz6 8EENFpd8GzY9lMHNqfOi0hp/72peFF2yQQZDPh9pYxGphhqh31/hbPOV3Twb r38ydex5Xf+vkPr71vRpT9Vw+T+Nh8EPX6GztOfJbnfUPA8ULvvWbr6hBg/N 7qOdXuXD4xYvx5Y39i/L3Oqq+4583v91gj2l8Njycbe7zmr48+LSpHlmUtjV y3/WWys1z7utynVRO/qq4ZbuKSP9TnncH/6266yM7+fCT4P3R87OVjH75UKN a97DCdEqqLzrZ3dXJxdmjJt7JfyGCjzWN/OscpNw/0/JWJu6004C9el2o46t VHFdOO4xz9J5mQrUG7zM72EO6Lx/UPKLqQouze0rTe+fw+PNxW9+l919c8Db YcrcyjQlWAr2zYH8O3u2ezfG574//+3Uu202j+e2WRlxHi2zQe9R+h37qUqo FMdXmGRjbbh9shKaO33Y6dHxC8+XZb/qZrT+mgkBrcznx/kpYLXwfSZYm75O fuqlgCOu1sMvj8zgeRUYazPwhy+fwaBdUfBuPQXXSac6P6epUjmEOsuXNLin 87xqM6/1f1sK0iDw8uWPBg5ysBCukwbTF3gubdVDDuYKo+KdCak8r/CErdeE Vqmgcp504tL6MvBoP+yi56QUnkf+bL42fGvgoYZTpfDTZt3iU0OS4fGS3jbv 25aCwYupQc5vPvE8MhHakQSz3r42Px9ZDDVDB/t9WZsEQxa8dqi/VQxXT1yo +2VeEs8rv1ObbPxyE2GNk0541Zhi0PV4fzjQIxHyLlr3b64sgiCXWc/TihJ4 Hk06IZlg6Z8AO3XNDvUZW8THna27K/p0lxWC+q/+18eejud5tN+jZZl+XRxE 2Ud0u/q+AK7Eh68oHhvH80Yu2CEWPE0w8UeFDO5Kf7tofisGjrfamu5qK4No Nt+0mLxKqZHmg3++x8Dhi6J5XszJyxvUe3Ak4G51e38HKR8326f45m/1loAq 4ejl059egnKU++kfVktg3LRzsgFeL3lcmmbrffkqeQGuP412vFDWGGfjDJKW pITxOAo6F24ROvEx9DNfafj55RdwYfNXlz16B+PnZsC9K11PrjoQyOOiNjd4 aMCG+zCizdCruUfToUzz+tWriv+geGSnA8/9U6Hf2tUb7ZZd5X6leULvYdpP Isxc72Fx8vgWHGA1M9r2UgJsXqc9fjeSnZdVue74adsJfOe0TbPTLh7c5eF/ T87xw9N/uLlt04kCWeASZe3KYCQ7nHzrEO/8KgzniHvQM6nUn3vxGVI/+Lpr /8wzUZfOwit/fS+rLq9Rb9KDUS/z3CFg8nkDmzOvkdpZbPh2jZXqDSbsz7r7 q/UFjNm8dH5X1ygs8ne+aT8qBGkelbLvaFX3xvukz2jvf3zDR6T7uA7V7NuR EYsDfeJHyh5H4BOjJ2005bFoYmt2b7s0AjeFjf1sbB3Pr0PzuNG/dIi9nRiD Bn+t7b7JPhHNI39pnTY0HieOu2MpMUzixz1n8/Ou+6tv/h2WjMsWWxj1L0hG swOutg8+JuMdGN3fQZXMj2t3cJ/zbvMUvjf63dFq1ptU9IzMnZZ6MA0N6yti M35LR5qPqrsuj/k3IB0TbHbLogdk8O8dTlnOevhrJvaSxS6cnv4ZXUVdwTu/ tWz56H4GTj6yNlnnxRdcHLjIP+NeJorrnmx+nNuPNjumtMrGHFyZsO3VFzQy jen81jsbt3mcPgD3s3C2qIP8vMVbnMuf2OTgu7H9Ih5sz8ZEmekHl/gcrAjv d+CBPBtp3UDn+Zi+f/rDHgmmWdzY1uzfHLTRK/OfrpBgXNrV9ZcGS1Cc1+fy 84qz/lx090AuTt82zsbtkQTPtnbwapOei1dnpFhkZUnQzLyF68maXBw/afsD pVTC2pXHrxP55MJwq5V5eGv4SwuVRy46RE/Adq55aGP/trtFaC72Y+uYqn7d kn8dl4eL1rXZslKWx79/8sDH/pWxFPHk7ODIijxMu1CTucxaiisSa1+3vfFt v1kc73DC4rG6ve9JUX5h38/nnktRaVryqHeAFItCe1z5+dO342g9FBT08WrA T/kYMnWCV999X/H5ebf4hyPysbnQDxkqE8/q5Fjn4/Hs1Wkht2RY/bT7tLN2 +UjrJVd5lxrH1fl4M/zA7C7eBbhy8q6grw75GDtt5kr7DwWoPp15xHd5PrNn IbZzm/yid+P15hflJJVFF+Kv1+cG3hqdj4c/23eOUxXi+5A3Q18NzkdaX3nF Tuk4omM+GssfZ6cHFeF9Q50tDTVSXLOgu7zVxmLenw9HLzxqOFqMnYyf1J+5 L2X2K8bpOiu6lt2RYoZmffJUv2J8NujL00xvKba85ir3mluCLYS9FHfvmbvi uU8J65cUaf3m/yCgKrmLFBcvtzXQaVuK+h+GvNuYn4dD+g1s2HKslPtJrAuU YrtVC8zu2ueh7HUXq7rVZdjux7sbp1blokHK7KCvt8swKavnL7Fvc6leg37d Rlnb7c3Fzdtm66X+IOdxE3qz5bUoazk237gg7nGxhK1L5Th/xCqHju4SHG/Y YPnsjpzH6ae1xR2dvsrxXnzqz6kxOWydrECfWwGvTOfk4IW7Z16+GaHgebD3 3N75Z10U6KQb0rGZVzZbxyow7qwf6jfmVdHZu7NyGpnybHjSha+PKhR4+PnQ hZZPvlAdAVsv7lVvapaJldnPcgZvV6Krr0VX2c8ZeCTi+FTji0quCxUVD9fU K5Q45+nhdp/2pKGx8yLj1ToqnCfOC9DsWI6fkY0K/U3auRdapqDnfbPFUxxV XJ+MOmcHP1irQt/CmyZL3iWzdbwKP0HiiLI7ySjzK1034bMK36pnfZjUkIgH j024Gm6i5nqYHTG3tOtMNf5lDGFrBsZTHQPXPavp8D4wBo1WzSu4FapGl5PL df7z+YBLvYv+fvNRzfU37cZ7Sffe5Tgzx6/A4GsE5rV7fP0383L8e5LzgcWp ETgz7ccju7aWc30X6wHl2ODbf1Oo1TOcdDLRNkBdjvnWhuYr+4TgkKO9ZmcZ ajCI1XG+1BndM1qmwc5zzD8cOXITl+5K79fxgAYHLR63L7fzRbzjH57U4YGG jz+HPmTFtnuhwVZD/q3J/2MniHUHDSZkLauXfDoHpvr99a5Mr+DjW9rhHquD D1dgZcgfg79khsH+TUGJjl8q+PioI9Zh0ORMQOUg2zeQEDDiQNzMSpw0KvTl 0PZRUOE8rtvWvEoc/49v8t3p8XDVp8Um7xZVfDy29g4znNm+Cp3V6pUTvRPA Slxv46bwtLTCaYlQ77dgxLpLVUjjfdRQVcvohCpMGT5MlhicCi7lf1cVD6xG mj/syLsbbHepGpc22+Zq/K5xvb2wZUzg2Bps6+C2vYs0BwJGrjOyXliDNH/5 mjEs8bxdDbqnhl9fu07C6jU1+CnK9MUqXwn8NzL6n8J+tWjqZDqilaMU9lQO 7/bHxVqk+ZOfw+Nj6spaHOOQvmPsIhk4tnI57jmsDml+xuo+GO5a9TZBXggL 5Aa5eTF12OZEmPzG+Mb19C2TzLLMOqT5YasvEV6zetajXviJ0ZcnFEPPE+XX zALr8R+v/f9s+bEU9v/54pqtYwN+X+9r9sI848nTOzKq9zWzWC18NIhlNc/L auph9ZKLjksulvO6E8Ux1aVYvY7Xd3oz/p1xZ8Ym7zY3brWQO+pk46Zi+VwL lFdUn8ke8Fwy4LkS3wcNjA4aWAPX+3k2bkpW16oG0gF376+NWxU4dDncuCl4 He+afqGPfqEchdOuV4Kp3v7GTc70rxJIB1O22TVuFSD2s5TXEZ9ItA0oxcPC hTUwPlY1LlZVzPStnNfhhs9ObNzU8MS/qHEr5HXMkb4HxvgeKETWTxB2uTJe B6VxkNZRwYz3Mb7CeKJBi8ZNAeJ98rjfBgvz1VzMrtidVbG7DAQzRUswnK1b SJ9Zu2FIu9eD273O5nGyWNHJXtEpC6/cWte4FYKdYIhMnMPijuun9vJZX2Gx 1v2OaTxu5+16u2jX2xRcKHyksEDYf8Jstl4l/WPtAmtDy8YtnueNVett81pv i0OhexOzQWzHe5SyPCQ9+76e/orn6SHGxxh3ZCw0c0kydNTezjoY3YQLfALS O9KN4MSJ3ZMmXkXWLtAX2nEa2whxEcfXBUJYOURCV2Hvy9c3Q+y1BnwEYjyH 83040z06TuyfD4jtiuDXvX1Z+4kCI/G6KISxewwECv15ytspnv8CE8UA+GYX bfO7J3G7iXGcwuvpZCfyQw5jCWNj8UEEsPMwS3Q097taGx72OaxfGbhZ+CcH VrH5MvmR4kobZeNic3ncuc3TOlgKCUK7c9FVuI0UerB5C8WReHspjzPKi1rP gErPABmzj4zleQGr1xfyOKa8q32uTeAinpf7tOG5qBiWCx0swT1CB0to3d9E /6g+Lue6oMO4I2N9xmK8KHheinUXBVK9gnRpsuAeBdet/YIAUZ4red6LdlOh 1oqD26m4rh4aoxUQFUwRbliOQhgYqFmdoZzrzAUhrjRoKR7Hx+N32u7vKgch rLwr8BDTMTPhvEquc6IuVWKE4OAKPn7qadNzXgV4CB2oxtZCByqpfs51lsa7 GYyLGdsyHqBN/6BaZNdhdYNaPMWen9D4dkzr7spq2CX4qY7rvhhn9XxcEMO2 HgdqhwdJDcQIBmzAtoIBa5l9Gph9avn49vGD9sPZ4oqQfwVoJ+hgAxC31w4b PvWcaTwjjmLXId4pxNk3pnYSjxDGgWrOMu3l9b8x2ZH4pvbwMZWcbQWdreBM fiPuKOhQOec3zO/EFCfE+1hcEQ8VxpFvTHFJXCrogIKzjziucqY8Ig4Vx03O Jto0mFjCmfKW+Ky456xheU9MOkG8kekKcYKgg3mcSZeIxXEmm/Pv4rjHmesk HS+Oa03s+4kz6TKxrtC/j5zPM10npnGAOGe5OG4QtxLOv8+Zxgfiw+LvSGwm jjucaTzg8SHen3MvsX2caTzgv4v947yUjevENB7wfKB5A+P5on05k/4Tp4v+ 4ewq+o8z6T1xvej/b+1tsid9JzYX44vzCzZv4/5h+s3zi80LiZVifHMm/eb5 K+YH54Ni/nAmvSaOFPOPc2cxPzmTPn9v7wrOvmL+cyY9Ji4W9YPzGFFfOJMe E+8R9YnzB1G/OJP+EhuI+sd5uaiPnElPv+dv64Z6pgcN4ofX2esZb2B18hD2 3Jj0gHT2++eItbzOnMZ09UETZs/f+XPdnuz5ymk2vpAeTGM6e4Jxk/dyOGtY 3bmePYclfXjEdDeecZP3cjjfY+tMem5KekE6TPV0el5D+kC6S+tmmk+QHpAd aR5Lzxso/9l7A3CzCd9iTHYuYXUFS2Zn0oOHzI7/0LydsVcTRlYXoedYpA/8 +TOr21D9nvQgidnp/2OyM9W1ApgdSR+OMzsSH2PM3ovhujyb1Qc/MjuTXhxk diY+wDibMflhIlvnVQoTplD+PsVm5hfSE/IL1bseML+QfvgwuxP/24TJb7Tu LWB+IT35m9md+HITJr9RvecZ8wvpSzbzCzGb/9N7MFzXqf7SnPmN9OY88wvx BcbsPRiu8+Jx1diX+Y30J5T5hTiMMXsPhus+e++FXZe/B8PrvKRP9B6MM+NM xqwewccF9h4M+56/B8PrqqRfNO//Pzle8+8= "], {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88}]}, {Hue[0.9060679774997897, 0.6, 0.6], LineBox[CompressedData[" 1:eJwl1OO/EAYYBeB7c63lWli42dbS4rLtupk3G8tetm3bbnnZri0su7bw9OvD c95/4Jw3KDikUtvAgICApKKmW4va1KEu9ahPAxoSTCMa04SmNKM5LWhJK1rT hraE0I72dKAjnehMF7rSje70oCe96E0f+vI7/ejPAAYyiMEMYSjDGM4IRjKK PxjNGMYyjvFMYCKTmMwUpjKN6cxgJrOYzRzmMo/5LGAhi1jMEpayjOWsYCWr WM0a1rKO9WxgI5vYzBa2so3t7GAnu9jNHvayj/0c4CCH+JPDHOEoxzjOCU7y F6c4zRnOco7zXOAil7jMFa5yjevc4Ca3uM0d7nKPv/mH+zzgIY/4l8c84SnP eM4LXvKK17zhLe94zwc+8h//84nPfCFAPwMJRWjCEJZwhCcCEYnED0TmR6IQ lWhEJwYxiUVs4vATcYlHfBLwMwlJRGKSEBT4fSfJSE4KUpKK1KQhLelITwYy konMZCEr2chODnKSi9z8Qh7yko/8FOBXClKIwhShKMX4jeKUoCSlKE0ZylKO 8lSgIpWoTBWqUo3q1Pi2f2pRmzrUpR71aUBDgmlEY5rQlGY0pwUtaUVr2vDt uYTQjvZ0oCOd6EwXutKN7vTgKxrSj9U= "]]}, {Hue[0.1421359549995791, 0.6, 0.6], LineBox[CompressedData[" 1:eJwNxtVRQwEAALDHKKzUERigDIBDcXeKuztFChR3d3cfg3zkLskpqaFwUhAE YdIknQwyySKbHHLJI0I+BRRSRDEllFJGORVUUkU1NdRSRz0NNNJElGZaaKWN djropItueuilj34GGGSIYUYYZYxxJphkimlmiDHLHPMsEGeRJZZJsMIqa6yz wSZbbLPDLnvsc8AhRxxzwilnnHPBJVdcc8Mtd9zzwCNPPPPCK2+888EnX3zz wy9//AN/6E7V "]]}, {Hue[0.37820393249936934`, 0.6, 0.6], LineBox[CompressedData[" 1:eJwVzdk2gmEAQNHvz0wUkcpYlAplzPwS1vICHiDPrZDKPG8Xe61zd/LXN5fN KIRwxa1o0eaOex7o8EiXHn2eeOaFV95454NPvvjmh9//QSyEiBgDDDLEMCOM MsY4E8SZZIoESaaZIcUsc6SZJ0OWHAssssQyK6ySp8Aa6xQpsUGZClU22WKb GnV22GWPfQ44pMERx5xwyhnnXPAH1dQf6w== "]]}, {Hue[0.6142719099991583, 0.6, 0.6], LineBox[CompressedData[" 1:eJwNwwlWAVAAAMCfm7hItlQkQoQ2aVEKJSqViBS3bua9ibb6pd5GCCHnZiSE mHETJk25Zdptd9w1Y9Y9c+6bt+CBRUuWPbRi1SNr1m147Imnnnlu0wtbXnrl tTe2vfXOjvc+2LVn30efHPjs0JEvvvrm2Hc//HTil1Nnfjt34Y9Lf/1z5dp/ WM8gIg== "]]}}], AspectRatio->1, Axes->True, Frame->True, PlotRange->{{-2, 2}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{ 3.564479787647915*^9, 3.591597946839038*^9, {3.591598075709409*^9, 3.591598091614319*^9}}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{"Show", "[", RowBox[{"a", ",", "b"}], "]"}]], "Input", CellChangeTimes->{{3.5644606824743905`*^9, 3.5644606852043953`*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJxlmHtcVNUWx8HXR72OqdfURgtLk1GjlI8Htav3mOPren3MJW8PoskU0ByK 8tlwFa10NI3yMVgpgWOiogZGqYEjS5BBBpQAwUEQZGBm5JXAARUBmUtz+O3p c5x/9ud71tn7rLX2euw9z68I8w/u4eHh8b2nh8efo89Tr45VKx/R5ys/uMjp 71LBhe/8Zfb7jDctf7jNqBMYTxtyRm1R3WMsHa/9Om6E3lLBeOKArBobV8i4 NaV/pE5IYWwUmQePEt9nnCGuxzhcHBlPEvVhvE7Ul5faA71gDxj6gaEfGPqB oR8Y+oGhn3R9jFgfjPXBWB+M9aXzMWI+GPOlcozbXPo9JG/XezbKdq3fyLjS 9V4J4yIX1/Lgsa6xhb3nJT7nwbAfXOMas9lYID7nwR6uX6oRY474nAeXuLiN xQviFfrAHvgbo9QePEe8SO2DHPEitU/qf6ne8G+v4KNvCfI2muTSs4Y+Dym9 n2Co58NdcVdJ11zr23mdS28L4f1C8TktPP/eOZW6mcf8N5LzG8yaVsL8eJnn ToPxAc102VHORsgV4jwez9eKz/k8l3155OuyI4OGXfxT31NsjHHpf4rHOFR8 j8UL/I94AZeJ/mMMv4LhRzD8Dc4U12MMe2H/kf7fLFIkNjHeLfqTMfwGht1g +ANcfmnzVaezgZeuh3WkI/wKxnxwtKgfY8Qn1sd+gR3ifMaop2DpyOpcN0Mf MIvrbkZcSeOPrdsd/2DoD0b9lOoL+8DYZ+gPOeqDtF7ADsyX2sXqe7d9YNQJ rAeGHPkHORhy1BPIwaw/dNcjyMGQI/8hB0MO/4FhL+oF9EUe4Dm4/f1Jz2ll 95kfkKdg5CcYeQneJO43Y+S7NB6QF/geni8R6w1j1D/Mh5x9r7t/gmEPGPUF jHoJRn0Bo26C00T7GaOfgX1EOxijP7J86K6vLF+6+5FUf+wn6gviDoy8Qr2D HPoizrAfsAvzkQ+Yz+rHl8Jjs6aROl374M4XfA/+xn4hfuBnxAdG6IH34G8w 9gMj4hvxB8b68C/WR75gPTC+g/1CnEJ/2Iv6A/550Lo0eXY7SfcX6yOepX0K fsZz6Id4xX6i3uJ7YOl5FO8j7vE+WHpexfv4Pt5HPECOOIAc9kEOf0GO+IUc /mf9pzt+IUd8S/0rrZeIJ/gJ8YR4wf6D4Rf4G/Ow7t+MvxY7eQd9bxpfYpP9 wc5L6BdthsabTt59XzAVBx5XlZcSb+qbzhU2M7/LhZ7VNq6IMacZlis/6j5f YdytsAYLhwoo+dDKRwkGd1zDXyHzpqywqK4x/676dFWdue4U24/2zLyznP4S /0Xrhhwn/cFrcwNPa1ZbydTReUKjaqagLY4dhkAL6ZddTlA95x7PmlIucXMc fOr8F+22opt0L9Hvd2dsO/2Wl9RX/20N7X8r6nHCa62M20a9G2zRtVH1/DHT lV35PM2zZaK6qoXJb8f7B8h2NDHuEbdisHZxPeNFD7w+suy1M/b5JiVKc7KM 8eXJ3FLFK3mMvzsaMVeRGMd4ypDT/zPqTDx4pyNgu2FGMeO25z8OFkoqGZ8V R8ZJ1FYkn9DIeODw6BOaXc2MY00XD+gUDynYN22i0nCb5JxfqW1DPQXpmqcq k+30Vmq/12Vx7tHGp0cYM6toTfH1ZbI4Gy0Zv7ferCyhjYt2+CgNpXQ+vEeK KrWRn7tt0HHNahvt29I3QNbVP1N/2POhxWanexMi2hI8a/mEkjFJXOFtcuyL PqxLEkh6vzizOI1XNBTTqhGjC52WalbPdoX3ChG6+l/ctgFLFF3xe66obolw 6Hd69sj4HPnCTGqdHzpKK8ukzhxtOqf/kXqmDsjiQitY/Rkw+M+6pCX/2urD GkU2P++Z6TMUDaf4Nes7thj9MvhZV4VNFo88Vv9x3oO/MidsO67qqm/IG9xf IAfHfxGxy9BlL+oX5MgfMM5XYKwLRh6CkT9g5A0Y+QFG/oCRX2D4G4zzIxj5 z+K32x9LXyo7r+rql/KtiTMVI9tY/Qy9UV7o7DrfQ2/cL6rjN2U7l5ZTwGsd nQeGu8+XI/41bLUQ8GQ/zi7Urbc0WtnzmLC7GdyUSvKdPfyReWIVm3++8vpS QX6HvYc48bXqkzj9bWbPmrLev6nKrRSS/EyjzdD4xP0Q+rHzUfsUb/UBC6V6 Dwy1dPUX6X1x5Jc3R2sjb9CxpTtXC/L8J+7Bc8ZF5jqdF+nY8322G0KLWT9F P252emZy+jS2f5OV6d5q5QV+WFr9P5TaK6xuFz7yGq6VJT9xLlnyivUCpzfz WabyhbK57vib1SskxNLojtfDpl5rhNld/vTZHmkYUEUrtvs8pY0s47O8TbsM RhPllvPTFK9c56O94t+W2ffxuv+OucJNcdeHGZcaa22RzfwizxHJnK2a6qvo sC5G4PcGFu8wBN2lxZ981ZFgaaWvGz9bJSRY6fKF9SbO1kTGzNmzZS/eoaC9 KzvNEytoyq2ayeovrFTWb12YJa+QtAOfDRIO3aDAebWHdX/JZ4ezR7xKnU1N c9oz5NnJtG/3U6nc0Jv8OJdffiH75sEVtnPJFC+O/IN3bpfZ7rvzd5Gwf7oi zMjG5h7fbTMa3f8X4f49+qsF7wiHqgnzpfdh2I94BOM+LOUEv4+idL4OFpeQ g/VDPR6Y69z/V0CO+GP1pfu+LOU+YUO8tJE2kssHVtqi3P0pSJPzT+Utd/8Z olhWYrvv7j+B2sFTldMdjBdH/eCtfFTO+Iirzlaz773R0bPKfLqB8YStu++a R/5BfrE1y4U1dlqp8mswX6kmw8bonYYgB+Ut1xU4qYY29LN7JL7voGO3fVM5 Dwf1OtDpsJntdOLbp3nlX+p/6EcztUbHA/Z9x5kMvW6/m8+L/YqxWtSHsXQ8 Kerv7r8vuPohYyEmIlrn6+aDYv9kvLFik2Cuu+nu98dc/ZvZ31/0J+Nisd8z Xi76n/HlG2OVsrh7lHB9Vq58t43dh1N67i1zbq1y13vvzXEao41SOt8MN85z sPMm/CW9b7P63H2uHrto11HNagerN5CjPoBxngej/oBRz8CDNs/smdh1f0Sf wfd/Kfh0svpKPkXQr58ZjLdYHL/Q9tMOw2YL1V4b22Q+3VUv00MH6ae6+13F 1BFW59Z8dz598O81gvws45be9jdl9nT2/VXifjCuFfePcdMzdRPU2vv0k6u/ FtGn8Rl1tqebqfxgkdV2rpiGiOcbtv5usZ4x9hfPU+586eP6PuPR4vmLfe9r UV/GP4vnNcb5on2MnxXPd4xnivnGeI54HmS8TMxPxgtGN+41jGqi7D3J/RLf t7L7qqf3ySxuaAVF90l5bN7jvq8eU6oO6pJM/IfXomJ1a8/y6ZVDd+r8U9n/ wahruRsGf20wJvGIh49ddh3hM3N+WCqLusrut4PCX36YYK3jx9T1DrTk3SHd oZF3nLECef14uLf+zVIa/Pe3vbTBNn5BZ1yE8eYN6rFq9WfGeQU0o3f2u5a8 XMqfMPWKPDubxpf+PFqtvEjHZ5W/I4ur4FfseSnCYMwhVX1CBresgJ/2eN9/ BHkMbT7jN049ppq3Kj6+wBXeohNZPrlOroPmxGb012uqaf0nib9wLe7zef5a 0/cadTsdbG42aIwO2jhybJbco5XoyxWPDzjvkM3Vz8ro4NwRO3Rr71Drxkux qpgG/r0T509qqispfGdMiCXvFh+w6+K4rmMgPfQ5KdfKLtCl+R86D1hS+SyX vmcpacv6FnOOiR9ztWWSMvERvRrtnydXV1FahKVvotXKziHmsNffE1QPqF+p V4Aw+xaVhL3cYdak0db9C37i9LH8me3rVgptzbTg3oY8+cIb9H962mUB "], {{ {RGBColor[0.798413061722744, 0.824719615472648, 0.968322270542458], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNlmeM0EUQxXcpR/eoBxwghxRpUlXEAtKkKgqIgCgCCsjRjiJ2ioiIBVBp AidYsCICCihKsWui0WjsPfrBxK4xfvS9zO8CH15m/vvf3XkzOzs7rabMHTWn UkrpmpxSZclnhV1CibBTWCtME/YIzwmnCM8L+4RSYb/wgjBbOCgcEOYKLwkv CmXCy8IhYYHwuNBNaC1sFxoJzYSjQgOhqVCM3lBoJ7QVioTFQn2hifCMUC6c iv25rHlSeIQ9HhA6CC2Ec4TO+LULnwqFdfjYSjhP6IKPz+FfPXydje1DcC/C 1zJ4voh/9mcbfrTAnu0qvOlc4TTsHsWP+vAuZs129Ib43Yw9y9m3Of61YP5T +Nxe6Cecjs/r8b+jMBifCrBfAoeNwgZhoNCVOfZ3qdBDaCMMwd/awhns3VLY zH/vs0y4ju8ieJvzWUJPvvtwlv6/VdjC2e2AezE+dcDH61Ocd2PhUfzw/95C J+LZS+gOvwH4lfGjC/4OEi4RqghjUuReHdZ0h08b/C2Ea0/i3oF4mk9//G+J /TOx1Q0erYntOen4mfdmzhThbOEk7JyLrXbEqC3xPw/uFwoXCFXh0hc+5nI+ fMylHxyH4b9t7U5xh/09nLP1vZ4hTOV7BHFxTPamuNvOkZnCaGxfxFgBcepD rDalyBvvtQTezpmLhaHEdpFwKd9j4WduK+BkPuPhYQ6X47P9vQLbtrtGGJki 967CRh32HYNurqNY2wX+BZzPWOx6jyHs4/hcJlSC52TOZRyczOdaYQJ7ToBf VeIzkf0nwrWAGF4pVBNeESbBbRK86zD+ODxscwp2ryGWVTijceiuZ65rNZD7 0aenqF3mvxm9rnAD/zy+E70y+83g3KeiV8Ev+zkIX2YSy9Ho9st1fpZQXTic oh66Xt3IuP2dk6I2VmeslPH6jLu2+S2YL9TCjzn4Mg8/azDPuuvezfzz+EH0 muxRht4Q3XXmFv55/FZhIbYsF6A3QncO3wQHc3b9W0usLNcRT+fvIs7oCP67 Hm1BNmHcdcr5v5wzcPxvJ0aOwx3Ys6078c1+3QVvc76M9ZXYbwl7uqYuTVGf fJ63wfNlfKvN2ArGPXYv4z6LldhdCY/q+L0KDqvgVHEWq+GzGn4VMb+bGFre gz6Z+AzF5hrsTiOOjuGVxMJxcN24OsU7ez9xbkU8/Zb7LXAt85vlGtsRvQVy PeMDObOK89rAPpYb0aeiD8TmJsZ8Xx4kntP4LmRsM5wrzrgxe2xiz2cY97k/ nOLdck1+VTiWjr/N2+D8UIo3uzlzyllbzj/765zcniKXd6A3Q/rbb6LfPr/3 JzNm2xXvpcebwmsrnP3WuaZUIcb34Zf3eYy4Om47ieF0dMfDb5lrlOvVEPTW 2HkSDu3Ri5FPMV5OjOyj+yu/Qc7nEr4LsbGL8QHMKWH/R4mb78Ju/rvvcg1y 3lb0ZL4XpejVkHvQB6N7rnNv7wlje5lTyr4V9Wkf+z8GB/syC7ulzHH9bQDf 3fD3PXCt8V3wndrPXNewA5ype0XfVd+LBXwXEddX0vE+5BBzVuixapDjvd2c oyd3DRgheWGOWr5SsihHX7CQ/b23+8+X4DOJ/X2GvtcH4TWfOWVw9HhNvr2+ 0Ql71Tphnuf8IXTO0X+sl6yWo8cZJjk8x7nNlvyWuMyS/k2KGnet9C9T1MSZ 0r9KUROHSL88x/tdQ3JNjh6qVPLrFLVyhvRPUtRWx+NqYjJX8oMUvWdL6SU5 3vzBkr1yvGu3SS7JUTuaSP6e4t79ILTN0ZP5jA+TV01tP0cONJPclKPncm77 DvtuL2a+8+cY4875UZo7OkfeXSe5OEcdnS+5IEcNvl7yhhx1dIzkpTnO6kdh UI67e6PkTTlq6kLJRTnq9AbJk3L0ONMlp+V4KyZKDs3xXt0l+UuKvvI3oVOO 3vEv4QHpT6fwqTl+/cQZOP7/OBdz1Ic/hVNy3PX/hHtz9Lw1JcfnqKkbJRvl 6Gd9N44SE3M6Qpzm6X9ZjjfqMOP1mHuMuG1Db4o8in6R1o3M0afY/r8pOPSU 3jVHP36xY5ajf6kleUuOeuc8qk4urZUszNGnrpOsl6POjXXO5njH3hY+TFE/ 3xU65tDr5ljvtW+luJPOPdv/OwUHx/7nFPHvL/2LFP1rP+mfp+hrz5f+WYp+ d4D071L0pH2kf5yiP3ZuNs6Rn7b/NnxulV47x5vZV/LTFD30OylqgevAQMnv U/THrwkX5OhXX09RU1xPltrvHG+oz7aY8/U96MFdcO6/lyL/Pff9FPOdO/eT P/dIfiT5hNBe+psp3peGOXKiB3m0nFwqyFEvXCvaSb6RoqeqkyOnnc+/krvO W9/XZdzZu3PYs636Oc7PZ9c9x17ep02O+2z+/wMfFoH1 "]], PolygonBox[CompressedData[" 1:eJwtlfnTj1UYh8+tpEVCi0T0zphQUoRe4bWTkHqzhtKbFllDIqloIaGh6Zem GTNmmmn0ZxRNtNK+Mu3rtFFK5brmPj9cc3/O8z3f5znnPvf9OQ0tS5uXtCql 3A8nw98wPEqZSHwU2qDfJQ6GPnAq454wBH0ZjEXfBLejb4DW6B5wNboF9sMm xjuJXeEk9GiYgn4KjsFdjNcQN8A/MILxJOIseAOuZDyK2B0CvQjWoZ90zegx cD16HrRCL4YH0VvhP1gQub/Hii8oZSE8gHwC+qP7QbuSaz4OIxlPJs6Gf2EU 4+uIc+F/uJvxWuJGmBy5Ztc6Ew7Aq64ZGuE1v8OcXcQu8C10ZHwFcSqMQ98M C8wdDEBfCzPQo+Eq9Jc1t2NhWOQ7/O8E6MR4IzyH7gkXoY8Qp8Mg+AGW8mw9 sYfniP6K2Oy34Xv4CS6GJthrnpjzLLE9tEN/TbwR+sJQxtPh1vr9JehzoD/6 YZgWeSaexS0w0LOMzM0Y12QurZm6n97oMyPfPQymRJ6BuXeOtXZKZO1Zc2/C y9DP3JSsvZlwW8kabLQWYE7dn7loMqc1J849HeaX/M8Q9NTItV5jDaCbPRP0 ePMeWQOeve98HTbz7HliN5gRWfPWujn5sdZAY83pDn7rHDl3N7znuxjfWbLm 56FXwiZzCSsia8zaehzujaxZa9U5EyN7xl6xRtZE1ry1vsWco5dH/ndR/dYy eKTkN++J7HF722f29l9wacke3+BceAZ9CbS1V2A7+mlBXwgD0S9aF5E9Zm+Z sxbGqyPXshwuiMyBe+9ljtCrYDN6mWdgb8I29EpYG+kReoPP5kfWmLW1Ctah e0XW5g446r4Zv1D30A39W12ba3TtZ0TO3V7P7o+6N8/wbfPimomdYL3fivQa c3AH+hviQyXnvAWv1LXYU/bu+Mhatof3WCeMp5X0lPsiPUuvcs+HS/aQvaNn Hao1aO3piZ/XnJgLPaxPpIfqnSPg7Miebao90JXxL/W3AeYg0nP0muFwHuOf q9aTPLu+MLLm56zIHrT3Lodz0V+4xpI93aCXRp59A7xT0qP0JnuqQ2RP2ot6 2kH4s56FZ/J+SQ+w971TPijpAeZLj/+oZM/Za3qsuW4fuRZz7lpOi7xrXJPe pKfpZXrUp7WmrCU9/ZOSPWUv6dEfl+wJe8E74LNao9amd4je/GutzV117d0j vdM9fFjSU/QS7wTvsvMjvdY77buSnux5euazInNmrvQYc90l8mzMuV69r9aa nq23Dq7v12N/rzXs2XjnzUa/VPJu0LNPAD6Lyv4= "]]}]}, {}, {}, {}, {}}, {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl01VTFGAUgOFdVEwU7FbK7i7sIA1UsAM7sQs7sVCxf4+d2N3djY34MFw8 855zvtnZ2YuNzMhMnR8MBAK3uMoPGjg0JN/cU69pB00kiV/2mXpDx+sCFvLb 3ktvakdNJoU/9t7B4u/opIMZwl97H72tXXQowyiw99U72k1TGc4/+yy9qxN1 EYsptM/WezpJl7C06Ecxh/vGybqM5QSZywP3DF3BSkKYx0P3KbqKLErQj0fu 3XUEIylJfx6799A00ilFDE/cY7UdbWnECbdxmsBrc5y+0sq6jwjy7MfZbK7C G/N7dprf6RXOsNVenQ/m5npet+tnjdLa5FKLllxw36HfNFo3sol1bGA9bbjo vb225qu5vn7RA7qferSiDkeoyyfvLfScZmtNPppr6DbOmpvpab3MDPN0XprD dS+VaEoYh6jIC+9d9bnG61iOmQfqBAbRmWduA3QMoyjHaCJZSwVWU541NOGk z2zRt5qpl/QUR83TmErRn6Mqh6nGU+9ldQ9laEwoBynNde8/yTF/1126O1j8 3/oPljxnmw== "]]}}], GraphicsComplexBox[CompressedData[" 1:eJx1mglcjdn/x5WtwSQmQqFoMJYZ28/ON0uWrIlskyZkbURI2cde9n2YpMGQ UElSxNeaEu3alOrWzW2/W7e9/t3nOd/jpdfrf1/Pq6f3vc9yznf5nHO+z2O2 wnm+o26zZs08Gv9o9+xjIe7kGPbn55A/P9eDi3YXUoKhjJ0ZhzB2YrxJ2NdB lvBDEW5knMHYiXEq4z4zzprPOFsLs7Q78wI0ZzydcaZwXA08Ee6Tj58ZP2Kc yjiQsXDajGroLVwnD2cKX1TBReF7CU5nfIbxVMbHGYv9roT6Bu0ni/VfA7li R1l/NZDGOJhxLGPhb0g5a18y658argjXT2D9U7P7J2AvxkcZi/1TsetH43nh eyVcF/avWP+UcJbxacb7GQuXM1ew34NQ9KkcxH69CG/2HZ8eXSv0swxaiL+P E/1VQueTH+n68Jkxuz+kMGbtA/H+BSD6LRqein4BT7F/EML4HOMgxl6MRfvk wWPRfuQ3SBRPZPeVsHZ8hpOMmX9Yv7L5PrfJcZ+bXIeuS/eh+1I7vJq081yT flC/qJ/Ub7LD9SZ2OtvEjmTXrO9+DwLyA/mF/ER++96PL8LJz+R3igOKC4oT ihuKI4orijOKO4pDikuKU4pbimOKa4pzinvKA8oLyhPKG8ojyivKM8o7ykPK S8pTylvKY8prynPKe9IB0gXSCdIN0hHSFdIZ0h3SIdIl0inSLdIx0jXSOdI9 0kHSSdJN0lHSVdLZ73W3mcUvbQ4dtRiXiXO36UTrxTWAb86agHODMjA/rl+Z 2cMGbreEvbqOe/Pr4beQ7c7BrVNwi1748XmZ9RCpu8RekpjM9Xmy13b/8VHJ mHjsRpdBfeu53/ImpeopaurgyeHXP8cMj+f9aqPfdeYeTQzWb73cc75rHRSx uBhgEdbNvXcd3Kj/X/+ReRG4a62RXJNcy+PIet6US/esa+H5g35rSuaH4MCJ /evsntXA1gu9nCMLzuHq1W9sP56t4XGrScq/LzlUA0tNergnDHADrueDZq+I WXIGXgf8sUAXqyE05eXDZrfDwCB4+YCJa6u/6ZFy2PO8qiro/8ubMaGqSPBd EVg5bWkV6OR2TZrtEg8tav4a6gVVPE//Gio3XzWiCrb/t13H6XQCUFx19jt+ fGePRCi2fNyqwKUS1h4Kje9wOxW2K+/JIrtWcp2oE+KzAiqv6q+fOzYD5jit WLDQvwLGPvCwXhj2BYzHBuVV6FYAevwzwqA6B/aNTl0aVqrh+tNCoX9/sEwD vw4I3OO3QgKUF1MWWBgfPC+Bi5ciCpbYaMCU6Y+j0aOMHBMNGL48qWu7XAo9 Nw9c0fdxOdejDSzPVhwdNdEzIx+6HF2V3XdOOVwr2vvrABsZ2JpEnNlqUA5T mB5RHnv1CnrsmFUI1578MLnEVQ3xl3/v0jCiCHrs9LFLdlRzvSorb+7wtLca wM5zRYJVMeyt9zB9qKeGXlNvOQbcKIbeN+/WdgpQwXqmVz+vd3l+7aIKdCe9 GHZfr5Tluwr6J3rF9D9aCiNH2tu4m6kgrFlu2cE1ZRAteX87TaYE0rdpA+R7 gnyV8KjV7eIT9nIg3fr3t15pOTlysBzkNOJQByVMY/pWN3Ko5n93vu113RTb Jl1VsPmIgh9X6qSovmOhhHS9y/5/mCqg9z/PKpRTlBA//KHG0kTB7yPaRw4R wTPf90pWgsUNLw/PU3JIeCc1DkhVwlKZLMbhuJz57Vu7Fbf+N2n6EhU8XNPB cGZBGQSvd3X8fYUK3AbYFAS9L+N2eCicVwrXoyf3d45Swaf6eiv15VI4FdnB anKWCjIOb+zY7LdSpoPf7LrFZXPnln3UsCXOu5NJnxK4PfmwW8EMNYuTYoAr Vn3ObFRDg0ublqrlxdBheYyht5sa7sYdWJ0eVcT9rizZ7HPmcBEErDI8EuL9 zc9rdcKvB19Xg83mto/yJhZB3obXI4f6qmH8rDFPF1wphOqMNqNznqhZHBeC z8Kn7gNeqSFL0f1deGYBuEv6tql7pwYd43K104UC2Hdix46Q92oed0kd+lz6 8EENFpd8GzY9lMHNqfOi0hp/72peFF2yQQZDPh9pYxGphhqh31/hbPOV3Twb r38ydex5Xf+vkPr71vRpT9Vw+T+Nh8EPX6GztOfJbnfUPA8ULvvWbr6hBg/N 7qOdXuXD4xYvx5Y39i/L3Oqq+4583v91gj2l8Njycbe7zmr48+LSpHlmUtjV y3/WWys1z7utynVRO/qq4ZbuKSP9TnncH/6266yM7+fCT4P3R87OVjH75UKN a97DCdEqqLzrZ3dXJxdmjJt7JfyGCjzWN/OscpNw/0/JWJu6004C9el2o46t VHFdOO4xz9J5mQrUG7zM72EO6Lx/UPKLqQouze0rTe+fw+PNxW9+l919c8Db YcrcyjQlWAr2zYH8O3u2ezfG574//+3Uu202j+e2WRlxHi2zQe9R+h37qUqo FMdXmGRjbbh9shKaO33Y6dHxC8+XZb/qZrT+mgkBrcznx/kpYLXwfSZYm75O fuqlgCOu1sMvj8zgeRUYazPwhy+fwaBdUfBuPQXXSac6P6epUjmEOsuXNLin 87xqM6/1f1sK0iDw8uWPBg5ysBCukwbTF3gubdVDDuYKo+KdCak8r/CErdeE Vqmgcp504tL6MvBoP+yi56QUnkf+bL42fGvgoYZTpfDTZt3iU0OS4fGS3jbv 25aCwYupQc5vPvE8MhHakQSz3r42Px9ZDDVDB/t9WZsEQxa8dqi/VQxXT1yo +2VeEs8rv1ObbPxyE2GNk0541Zhi0PV4fzjQIxHyLlr3b64sgiCXWc/TihJ4 Hk06IZlg6Z8AO3XNDvUZW8THna27K/p0lxWC+q/+18eejud5tN+jZZl+XRxE 2Ud0u/q+AK7Eh68oHhvH80Yu2CEWPE0w8UeFDO5Kf7tofisGjrfamu5qK4No Nt+0mLxKqZHmg3++x8Dhi6J5XszJyxvUe3Ak4G51e38HKR8326f45m/1loAq 4ejl059egnKU++kfVktg3LRzsgFeL3lcmmbrffkqeQGuP412vFDWGGfjDJKW pITxOAo6F24ROvEx9DNfafj55RdwYfNXlz16B+PnZsC9K11PrjoQyOOiNjd4 aMCG+zCizdCruUfToUzz+tWriv+geGSnA8/9U6Hf2tUb7ZZd5X6leULvYdpP Isxc72Fx8vgWHGA1M9r2UgJsXqc9fjeSnZdVue74adsJfOe0TbPTLh7c5eF/ T87xw9N/uLlt04kCWeASZe3KYCQ7nHzrEO/8KgzniHvQM6nUn3vxGVI/+Lpr /8wzUZfOwit/fS+rLq9Rb9KDUS/z3CFg8nkDmzOvkdpZbPh2jZXqDSbsz7r7 q/UFjNm8dH5X1ygs8ne+aT8qBGkelbLvaFX3xvukz2jvf3zDR6T7uA7V7NuR EYsDfeJHyh5H4BOjJ2005bFoYmt2b7s0AjeFjf1sbB3Pr0PzuNG/dIi9nRiD Bn+t7b7JPhHNI39pnTY0HieOu2MpMUzixz1n8/Ou+6tv/h2WjMsWWxj1L0hG swOutg8+JuMdGN3fQZXMj2t3cJ/zbvMUvjf63dFq1ptU9IzMnZZ6MA0N6yti M35LR5qPqrsuj/k3IB0TbHbLogdk8O8dTlnOevhrJvaSxS6cnv4ZXUVdwTu/ tWz56H4GTj6yNlnnxRdcHLjIP+NeJorrnmx+nNuPNjumtMrGHFyZsO3VFzQy jen81jsbt3mcPgD3s3C2qIP8vMVbnMuf2OTgu7H9Ih5sz8ZEmekHl/gcrAjv d+CBPBtp3UDn+Zi+f/rDHgmmWdzY1uzfHLTRK/OfrpBgXNrV9ZcGS1Cc1+fy 84qz/lx090AuTt82zsbtkQTPtnbwapOei1dnpFhkZUnQzLyF68maXBw/afsD pVTC2pXHrxP55MJwq5V5eGv4SwuVRy46RE/Adq55aGP/trtFaC72Y+uYqn7d kn8dl4eL1rXZslKWx79/8sDH/pWxFPHk7ODIijxMu1CTucxaiisSa1+3vfFt v1kc73DC4rG6ve9JUX5h38/nnktRaVryqHeAFItCe1z5+dO342g9FBT08WrA T/kYMnWCV999X/H5ebf4hyPysbnQDxkqE8/q5Fjn4/Hs1Wkht2RY/bT7tLN2 +UjrJVd5lxrH1fl4M/zA7C7eBbhy8q6grw75GDtt5kr7DwWoPp15xHd5PrNn IbZzm/yid+P15hflJJVFF+Kv1+cG3hqdj4c/23eOUxXi+5A3Q18NzkdaX3nF Tuk4omM+GssfZ6cHFeF9Q50tDTVSXLOgu7zVxmLenw9HLzxqOFqMnYyf1J+5 L2X2K8bpOiu6lt2RYoZmffJUv2J8NujL00xvKba85ir3mluCLYS9FHfvmbvi uU8J65cUaf3m/yCgKrmLFBcvtzXQaVuK+h+GvNuYn4dD+g1s2HKslPtJrAuU YrtVC8zu2ueh7HUXq7rVZdjux7sbp1blokHK7KCvt8swKavnL7Fvc6leg37d Rlnb7c3Fzdtm66X+IOdxE3qz5bUoazk237gg7nGxhK1L5Th/xCqHju4SHG/Y YPnsjpzH6ae1xR2dvsrxXnzqz6kxOWydrECfWwGvTOfk4IW7Z16+GaHgebD3 3N75Z10U6KQb0rGZVzZbxyow7qwf6jfmVdHZu7NyGpnybHjSha+PKhR4+PnQ hZZPvlAdAVsv7lVvapaJldnPcgZvV6Krr0VX2c8ZeCTi+FTji0quCxUVD9fU K5Q45+nhdp/2pKGx8yLj1ToqnCfOC9DsWI6fkY0K/U3auRdapqDnfbPFUxxV XJ+MOmcHP1irQt/CmyZL3iWzdbwKP0HiiLI7ySjzK1034bMK36pnfZjUkIgH j024Gm6i5nqYHTG3tOtMNf5lDGFrBsZTHQPXPavp8D4wBo1WzSu4FapGl5PL df7z+YBLvYv+fvNRzfU37cZ7Sffe5Tgzx6/A4GsE5rV7fP0383L8e5LzgcWp ETgz7ccju7aWc30X6wHl2ODbf1Oo1TOcdDLRNkBdjvnWhuYr+4TgkKO9ZmcZ ajCI1XG+1BndM1qmwc5zzD8cOXITl+5K79fxgAYHLR63L7fzRbzjH57U4YGG jz+HPmTFtnuhwVZD/q3J/2MniHUHDSZkLauXfDoHpvr99a5Mr+DjW9rhHquD D1dgZcgfg79khsH+TUGJjl8q+PioI9Zh0ORMQOUg2zeQEDDiQNzMSpw0KvTl 0PZRUOE8rtvWvEoc/49v8t3p8XDVp8Um7xZVfDy29g4znNm+Cp3V6pUTvRPA Slxv46bwtLTCaYlQ77dgxLpLVUjjfdRQVcvohCpMGT5MlhicCi7lf1cVD6xG mj/syLsbbHepGpc22+Zq/K5xvb2wZUzg2Bps6+C2vYs0BwJGrjOyXliDNH/5 mjEs8bxdDbqnhl9fu07C6jU1+CnK9MUqXwn8NzL6n8J+tWjqZDqilaMU9lQO 7/bHxVqk+ZOfw+Nj6spaHOOQvmPsIhk4tnI57jmsDml+xuo+GO5a9TZBXggL 5Aa5eTF12OZEmPzG+Mb19C2TzLLMOqT5YasvEV6zetajXviJ0ZcnFEPPE+XX zALr8R+v/f9s+bEU9v/54pqtYwN+X+9r9sI848nTOzKq9zWzWC18NIhlNc/L auph9ZKLjksulvO6E8Ux1aVYvY7Xd3oz/p1xZ8Ym7zY3brWQO+pk46Zi+VwL lFdUn8ke8Fwy4LkS3wcNjA4aWAPX+3k2bkpW16oG0gF376+NWxU4dDncuCl4 He+afqGPfqEchdOuV4Kp3v7GTc70rxJIB1O22TVuFSD2s5TXEZ9ItA0oxcPC hTUwPlY1LlZVzPStnNfhhs9ObNzU8MS/qHEr5HXMkb4HxvgeKETWTxB2uTJe B6VxkNZRwYz3Mb7CeKJBi8ZNAeJ98rjfBgvz1VzMrtidVbG7DAQzRUswnK1b SJ9Zu2FIu9eD273O5nGyWNHJXtEpC6/cWte4FYKdYIhMnMPijuun9vJZX2Gx 1v2OaTxu5+16u2jX2xRcKHyksEDYf8Jstl4l/WPtAmtDy8YtnueNVett81pv i0OhexOzQWzHe5SyPCQ9+76e/orn6SHGxxh3ZCw0c0kydNTezjoY3YQLfALS O9KN4MSJ3ZMmXkXWLtAX2nEa2whxEcfXBUJYOURCV2Hvy9c3Q+y1BnwEYjyH 83040z06TuyfD4jtiuDXvX1Z+4kCI/G6KISxewwECv15ytspnv8CE8UA+GYX bfO7J3G7iXGcwuvpZCfyQw5jCWNj8UEEsPMwS3Q097taGx72OaxfGbhZ+CcH VrH5MvmR4kobZeNic3ncuc3TOlgKCUK7c9FVuI0UerB5C8WReHspjzPKi1rP gErPABmzj4zleQGr1xfyOKa8q32uTeAinpf7tOG5qBiWCx0swT1CB0to3d9E /6g+Lue6oMO4I2N9xmK8KHheinUXBVK9gnRpsuAeBdet/YIAUZ4red6LdlOh 1oqD26m4rh4aoxUQFUwRbliOQhgYqFmdoZzrzAUhrjRoKR7Hx+N32u7vKgch rLwr8BDTMTPhvEquc6IuVWKE4OAKPn7qadNzXgV4CB2oxtZCByqpfs51lsa7 GYyLGdsyHqBN/6BaZNdhdYNaPMWen9D4dkzr7spq2CX4qY7rvhhn9XxcEMO2 HgdqhwdJDcQIBmzAtoIBa5l9Gph9avn49vGD9sPZ4oqQfwVoJ+hgAxC31w4b PvWcaTwjjmLXId4pxNk3pnYSjxDGgWrOMu3l9b8x2ZH4pvbwMZWcbQWdreBM fiPuKOhQOec3zO/EFCfE+1hcEQ8VxpFvTHFJXCrogIKzjziucqY8Ig4Vx03O Jto0mFjCmfKW+Ky456xheU9MOkG8kekKcYKgg3mcSZeIxXEmm/Pv4rjHmesk HS+Oa03s+4kz6TKxrtC/j5zPM10npnGAOGe5OG4QtxLOv8+Zxgfiw+LvSGwm jjucaTzg8SHen3MvsX2caTzgv4v947yUjevENB7wfKB5A+P5on05k/4Tp4v+ 4ewq+o8z6T1xvej/b+1tsid9JzYX44vzCzZv4/5h+s3zi80LiZVifHMm/eb5 K+YH54Ni/nAmvSaOFPOPc2cxPzmTPn9v7wrOvmL+cyY9Ji4W9YPzGFFfOJMe E+8R9YnzB1G/OJP+EhuI+sd5uaiPnElPv+dv64Z6pgcN4ofX2esZb2B18hD2 3Jj0gHT2++eItbzOnMZ09UETZs/f+XPdnuz5ymk2vpAeTGM6e4Jxk/dyOGtY 3bmePYclfXjEdDeecZP3cjjfY+tMem5KekE6TPV0el5D+kC6S+tmmk+QHpAd aR5Lzxso/9l7A3CzCd9iTHYuYXUFS2Zn0oOHzI7/0LydsVcTRlYXoedYpA/8 +TOr21D9nvQgidnp/2OyM9W1ApgdSR+OMzsSH2PM3ovhujyb1Qc/MjuTXhxk diY+wDibMflhIlvnVQoTplD+PsVm5hfSE/IL1bseML+QfvgwuxP/24TJb7Tu LWB+IT35m9md+HITJr9RvecZ8wvpSzbzCzGb/9N7MFzXqf7SnPmN9OY88wvx BcbsPRiu8+Jx1diX+Y30J5T5hTiMMXsPhus+e++FXZe/B8PrvKRP9B6MM+NM xqwewccF9h4M+56/B8PrqqRfNO//Pzle8+8= "], {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88}]}, {Hue[0.9060679774997897, 0.6, 0.6], LineBox[CompressedData[" 1:eJwl1OO/EAYYBeB7c63lWli42dbS4rLtupk3G8tetm3bbnnZri0su7bw9OvD c95/4Jw3KDikUtvAgICApKKmW4va1KEu9ahPAxoSTCMa04SmNKM5LWhJK1rT hraE0I72dKAjnehMF7rSje70oCe96E0f+vI7/ejPAAYyiMEMYSjDGM4IRjKK PxjNGMYyjvFMYCKTmMwUpjKN6cxgJrOYzRzmMo/5LGAhi1jMEpayjOWsYCWr WM0a1rKO9WxgI5vYzBa2so3t7GAnu9jNHvayj/0c4CCH+JPDHOEoxzjOCU7y F6c4zRnOco7zXOAil7jMFa5yjevc4Ca3uM0d7nKPv/mH+zzgIY/4l8c84SnP eM4LXvKK17zhLe94zwc+8h//84nPfCFAPwMJRWjCEJZwhCcCEYnED0TmR6IQ lWhEJwYxiUVs4vATcYlHfBLwMwlJRGKSEBT4fSfJSE4KUpKK1KQhLelITwYy konMZCEr2chODnKSi9z8Qh7yko/8FOBXClKIwhShKMX4jeKUoCSlKE0ZylKO 8lSgIpWoTBWqUo3q1Pi2f2pRmzrUpR71aUBDgmlEY5rQlGY0pwUtaUVr2vDt uYTQjvZ0oCOd6EwXutKN7vTgKxrSj9U= "]]}, {Hue[0.1421359549995791, 0.6, 0.6], LineBox[CompressedData[" 1:eJwNxtVRQwEAALDHKKzUERigDIBDcXeKuztFChR3d3cfg3zkLskpqaFwUhAE YdIknQwyySKbHHLJI0I+BRRSRDEllFJGORVUUkU1NdRSRz0NNNJElGZaaKWN djropItueuilj34GGGSIYUYYZYxxJphkimlmiDHLHPMsEGeRJZZJsMIqa6yz wSZbbLPDLnvsc8AhRxxzwilnnHPBJVdcc8Mtd9zzwCNPPPPCK2+888EnX3zz wy9//AN/6E7V "]]}, {Hue[0.37820393249936934`, 0.6, 0.6], LineBox[CompressedData[" 1:eJwVzdk2gmEAQNHvz0wUkcpYlAplzPwS1vICHiDPrZDKPG8Xe61zd/LXN5fN KIRwxa1o0eaOex7o8EiXHn2eeOaFV95454NPvvjmh9//QSyEiBgDDDLEMCOM MsY4E8SZZIoESaaZIcUsc6SZJ0OWHAssssQyK6ySp8Aa6xQpsUGZClU22WKb GnV22GWPfQ44pMERx5xwyhnnXPAH1dQf6w== "]]}, {Hue[0.6142719099991583, 0.6, 0.6], LineBox[CompressedData[" 1:eJwNwwlWAVAAAMCfm7hItlQkQoQ2aVEKJSqViBS3bua9ibb6pd5GCCHnZiSE mHETJk25Zdptd9w1Y9Y9c+6bt+CBRUuWPbRi1SNr1m147Imnnnlu0wtbXnrl tTe2vfXOjvc+2LVn30efHPjs0JEvvvrm2Hc//HTil1Nnfjt34Y9Lf/1z5dp/ WM8gIg== "]]}}]}, AspectRatio->1, Axes->True, Frame->True, Method->{"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange->{{-2, 2}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{ 3.5644798088491273`*^9, {3.5915980836008606`*^9, 3.5915980937434406`*^9}}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["\:041f\:0440\:0438\:043c\:0435\:0440 2", "Subsection", CellChangeTimes->{{3.5644608694095187`*^9, 3.5644608841515446`*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"a", "=", RowBox[{"RegionPlot", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "-", "y"}], "\[LessEqual]", "1"}], " ", "&&", RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "-", SuperscriptBox["y", "2"]}], "\[LessEqual]", "0.1"}], " ", "&&", " ", RowBox[{ RowBox[{ RowBox[{"5", "y"}], "+", RowBox[{"4", "x"}]}], "<", "1"}], "&&", " ", RowBox[{ RowBox[{ RowBox[{"-", "x"}], "+", "y"}], "<=", "1"}]}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"Axes", "\[Rule]", "True"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"b", "=", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "-", "y"}], "==", "1"}], " ", ",", RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "-", SuperscriptBox["y", "2"]}], "\[Equal]", "0.1"}], ",", " ", RowBox[{ RowBox[{ RowBox[{"5", "y"}], "+", RowBox[{"4", "x"}]}], "==", "1"}], ",", RowBox[{ RowBox[{"x", "+", "y"}], "==", "1"}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"Axes", "\[Rule]", "True"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"a", ",", "b"}], "]"}]}], "Input", CellChangeTimes->{{3.5644609033239784`*^9, 3.5644610931139116`*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJx1WHtUlNUWJ/RmcZ0lmZqOleJFnWu+ljHeq6Hn2iQ+L3dU0koDs0xrfBS+ wNRIZTIzBB0vioqOSVddCET4wtENSCCINCDD4IjAwEAI8nCWFj5o7vgdf4fW x5I/OOs3+5y9f3ufffY+5/NZtHL2Yk8PDw8f97/HY0HakL4Gq5m2fXzjXpLx Nr3W/fIthzpb4LZ0r+/0zhMCmzhmwC/z+QJnc30Cb/7wk/Nqg5VG9BjvG6y5 RbAHDHvAsAcMe8CwBwx7wOu5PYH/2TMx2KqtoOIze2cramsFH2DwAQYfYPAB Bh9g8AEGH2DwAR7N+Qi8buHvESZ9tRjBFxh8gcEXGHyBwRcYfIHBFxh8gcEX GHyBV/GRyfliBF9g8AUGX2DwBQZfYPAFBl9g8AUG36fxko/gBwx+wOAHDH7A 4AcMfsDgBwx+T+MhH8EHGHyAwQcYfIDBBxh8nmZHPsIeMOwBwx4w7D2Nt1yv fIR+YOgHhv6nxUHOU65XPkL/0+Io91POS65HngfyfZDHSZ7H8ryR75s8z+V5 VS3xyaexEm6moZK9ErJJvzfQLWlMF3IP6S/JBHyFyxlwMdcn8ACuj0Ef7APf lEYbRUi//0oWjhkw+APnS/5Vka+k10E5HDNg1BlgzJePsIv1+B31ChhyzMeI OIEvMEbEFRhxRDwgxz4BQ475WI+4AyPuiLdcjt8xD6PoZ0/k8EduF3LEAX7K eSI/geVxkccZcvn9AfmC8wKM8wKMcyPPL+iDPXl/R76BF+TwT95vkW/gDbk8 z5Av+H0gH5m8T8vzD3kN/fK+I88feZyBIUfcIAeGHHEEltcn7Df2H/VGnqfg L++b8GO0FNfr1HXxkXecygaqu7Ah1+WqpOOKZ742muoo8HTIKW1wjRgPeO2c qUq2M8wrkOJsYXrJXi5B3wjJTiEbI/FOExjzsK6Ej/Sj96pMZX6j+B14u5Qn 5TT3XFFLnq6eVFw/A9/NXM4gP8z50cMPRr8arqilCs6TwR/whxx+Yd10jhl+ B4YcI/yHvxO4f4IfMPyD38DrOGZmaR8yKFTKu2IRV/CGvPvSXrt1qhZCPIFR R2qk+S3U5/zj/Y8T8ngpH+IYcC++XuBMrl9g5Ckw8g0YeQmMvARGvJB38Bd+ YH+BIQcP+IP6Bww78A/xQ35gX3F+EUfsI/hg/3AOYB9+A8v7P/ggfuAr7zPQ CyzPE/yOugH+sCvvS5gHDD3reb50qtvA4v755HxAv7xuAIt32ZNzijjL9wEY cUEcEBfwRF0DD2DwR77LeSN+wIgfzhX0o74hDpBDH+od7OE8QY71iD/yEvUT /QcY/QrxghwYctiFHdgFD3nfBQ9g+AG/kIeIP/Ie5xrxRbywz9h3xA9+ggfm 4XfYRZ0KMWmGacKbRD4Agyf6DfRgP/E74oP1qOeIi/xeh30HH4ywJ7/HwW/Y x4i8hn2ca2D4Bz6Yj/1DXYIc63vO/CZSP6ajHkYEZcbo6lvIVvYYDyPUX5wL yLF/WL966/DhwZdKOn0/afX5fKoioVHkA3Drihc9DfNudvreUf987KOkonqR b8D5Zx9+7Hxg7/T94eWpP81RTK4V9x/gHfHjXjBc6rj/xNl9JmrGVYtzmPjH O+9bvSs7vfvrE7MN+l2lVNI/6rQ6yCbeaYLPE/n4DHOwM65U3H+m/6v6J+3Y kk7vvZIjmyarkiNFvGIj4nsZrKkivyM862L0Yy4z2MM6/RshmWq/NIER/9DV jzaaxmYz8Edcd8wubUu6k9/p/ZX1c8V0xeSOuvnHe2N26Y5VsgW3k7LVQcWk 3TygwBXSRCmu9CjjgmqWcc1Xo0hwv3MebLW6GkvZgIroH7X6n2l6j3GTNOEp pL0c3s/wkpmZFdOM2osVVL2kIMw0xMqOvD1Fq1Dn0sWLf99m7FXKTpQGfmhN uUKqfhMMuohm8j0Q9rxhaB7V7Yt27b7UTL04ZsBxfD7D/Lsr1/YJX35d5Df8 0Gbcbczb7873+oEndUurxHvsaOH31a5DVSx4Y12kccGvZF2ZkaVeViPuyXOV 4fv09TW094c1S52+drpVMPVza04Na+IjzeZyBvnDglMlyuoqmtioetbQ7QYN fGV+oq6sisY0GD+yttpEvrWfP3Ve6VVJv/P5DPP9wlIKXY03yBw46JjO/xpt S/nrGlPAdYr65bkLyumFtGHzx10MseWiPkZwOYN8bhfPlVZvC42uGBRm0p8R +xrN84XqdcZc5fQyUdef2RL5tmKC+z2z5vH58+/A8yTMoK8n18f67i47qfMw i/pbXN3ra/3si+I+0Mr1iz4Afy5zf1hA+uN7aRh1G7FjgmpUPjswuW+kPpQo 9Hh2o6P3NXHOqvh5YVu5v6JPIJ7DeDwZ4j2Wx0+cq1E7z6VqK0qYqi3rtiMy S6z/o/GtUqVHFT3gIwsrXb3ZlFQk+sWN0dui9MqO9574nvdGv+WmnCYKHP7Z Qqv2qnjfbeD1S9RL8Z6JjfAOv9rxfRjrJ/L1nd5/mN/G65t4/6HOD5kxOEo/ u4Fu8/zu9B6EvJDXO/EeRF8ZH5yzWz/oV9rM87/T+xDyaF7/On2H+C73fX/N uI5zsfWXmpmqL+10jZ+XTu9HzAfGfPDR9xvnr2qx0VFej0SdAR/Isf/yvtf9 HVptNRdRAa9/Yp8QD8ihF/mP/ET+H7t15Ybry87vz8OS/RNCLr6XXTn4H8We XFFXkedRn8z41Kk8LO45Xbl9Udcn7Dk4VHO/kN1VZ09T1G7vdO/c1Z44QzWq WLwTNnH/xTlNiN0SaXSf46rC19vz/vR+xfz5ATkqzawKdnzLpm1Gh0XIETcv VZDNca9cnK9yrod9yNeJuDdHTvLXTLtGCcfjC1wvNVE+r5+E+nmM10tCvUQd xDicn3eG+lXifmKrRl1lZQOOv6uojWHvOXeNU600iRH1bROvX8zxKO1h0qzr ZGgyKsKXF7Ih60f0Mrx0jUpnJiyyepez4qjX3lKtLKXRG/zHq3rcpiDejxj6 UR3nzwR/Pp9hfkCXLrOdtpuU9nXtQd1zt2gixwz4Ge/1X5n8q2n+kv5zFPtr qb2HhBlwGu93hH6HftbA+xld5pgBw5+j3B8q55gBb+P9ktAv4c+jRzGznMp4 8nKmd0125+NMqd6doESN9r/61J/ZxoI9h/ShKQzrX+Dr2dJvV51S3z3Bpkj3 imwW/sDf6jhVSF777yyxel9nihbfeU53PkVvXHtY586n9CmDax2WUmob0eqn 6lEp8s3PPiTcaGimzHMhwU5bDsW1F51XPmgW98OT5xZOUiS0UMrCiWe1FzPp L3OU55WLWujVmK+M2viL9EpN01b99haaajekqg2JtKm/r8VR20IbpyWcUxvO 0uke3ifVae774gHpvshwX/xilP2M2nCchg8elq5saCHGMQNGn4H97lw/g/4Q rp9B/xHOj4GfB+fHwE/0qSf+pnJ/GfyNkOp7x/s/lGPxvg+N3PkvzfWO76sv 8/7E0O8Hxi8idZBFnPNA3k8Z+rO19pftRkMJy9g2bY+u/qSob4FrDz3Ke83O 1nL94vf6z/2ZZp+dHkj9wv1+aVTdz/OpYd2H3Tuk96+i1c6YuYqEju8N+P7Q fKnPAkVkFTn4eob1Ks6v452wXzFZ1WKh8g3e7XmNGTT83U+/19VbyCd0y1qr OYMqOV8CX9uIO+1JijI2eMjDbgZXnng3Ve1Y3D9YU0jFXB+DPl+uj0FfaaDu W6N/x/dh70z1gPDwEkp78aDdYTlGwGEcM/BFHoDPVs6Hgf9Vbo+Bf09uT9xb Es2pzxli85g3P1fivJwN23JZmR/L3vii7E3VqFwRf/QVxN/J48cOR9TbHO53 2f9iezNNsp3tDZmeoQwtpz5R85Y4c9xxTqz3Cd5to7Pnz/xb1c3O/Ph+EfYL fRb3weB+d3zCmzq+14Tx/RR9E99vsJ/x/H0i3iH4npMbuGyF6dmbVM33h7A/ EU1HSl06K8m/T2K/3uTvE/HOA8Y7pHxo9wz13TR2NGvqFtPYTFFvIMd3j6J/ 9LW7vswU90KvXHOK2nCB9R14tc5Re0p8J2n4ps+3xmUlbEXC5gDFhds0x7Kg PemDMspa1XWk5t1GmsExA7ZdrLzh6F3ORsYcnaGw3KIjd9YusEZXkt+1wHS1 Xz3FccyAC+xL11g/szObw5as3VRHb9a9fz+vSw21xoxc5Ex10ESOGfAP8599 WxHpYI+S1bcdFned9113w5XsYGVTpu40dq8mz33VkzT9qqgnr6cUHLBxsmLW TfIo+80zWW2htlUzFlujbZT6sJZpxhXRXC5nkPsNsRQqx3bU84rlS1oda8zi XpwVkNnkuJfJ+o5uN+hDTzPsX2++fwz6T3D97MqMB69r7p+hHeZPmx17ihj4 od6f0bdmKf9U78GrlethI3OWnVOnldGKLoP7Gaa430FP/GmzSnzZR61bXjSs u0SeyoYgxZ4S5uT7Rdivar4fhP0w83gT4n2Cx5MQz2weT0I8/9gr8WWIJ3iB Z6M9Zac+NI8Nmvd9rN55lDUNG1vlchnFvcIy6aRXsvtcBAw/p1G47z9xbavr Hffc97XBrhBr9E3muXGeX/DfzCxobfYy02+P7+/SPCri69j/AStUBPc= "], {{ {RGBColor[0.798413061722744, 0.824719615472648, 0.968322270542458], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmHm8z1Uax89zXWsX17Uny7VVtkiNQfaSyJowcSXa00WlIk20SE2lpBna tJItWzXTMkUTbdSUSIySsmQpGaMsZZ736/n8Xvf+8bnP+Z5zvs853/N8ns9z fjd/5JgBhVkppRb+p4Tbtx33OkY4VjmmOS5zlLWUyjgOe/tfjvscIx2XOrw7 lXHkWvgo5zgpRTvbkef9lRyHWMdR39HAscjxgONyRyVHafnJky3ruFL9uY4q xXxXlc1xVJMtL8uaJR1LHNMdVzmqa7yC4xpHRcfJjlpq4/8UWfZST+uxTh3t qbKjrixj+Rpn/eWOGY5rHZ85Vjhm6jtZu4a+u5qeK+v7+J7R2ksjR3P5Ze5p 2lNtx6naa+a5kvZ0up7ZYxNZ9ljOYn5jRzN9D36bapznIY4BjoscTzvucAx0 fKn3WnJmFmu3cvzq+EYxPFN7Yo+tZdnL2doH6/xBlvXP0jhj5j43ub3ekeXt rW7HOdprHXyfI4vv/6i/naOjfLFOJ1nWOeY46mgjNNNZdtV7+L5R7S6Obupj nXNlOzjOk2WdHpqLj5sd4x2dHTep/3zHBRrH33ZHd8eFjls13tvRS2vgu6fm 8jzGUeho6Oij+ax5m+Iy2PGbY4d89NN6PbVOR53BBK2TiWVv+esrf7yzwbFW PgYWG++gM+ZM9zh+cPw5RUw497aOOx1TUvDlihQ5T07ud+xzTHaccOx1XJJC P9AM8h/9QCfIyakpdAW9yfAVTqAL5LvpHfK6nN7J0TP6gb6QM+gQmkE+X51C IypqT+QFOYw+jUqhA7xDvmV0JU/zWKOKxjKaUiUVaUpV+SWPyM+MjqAh16XQ kZqpSDtqpSKNqCNf9fScp75M7tbWO4e1Xkmtl693autsyCs0BR2pofVp19f3 V9deX0uhN2gJud9Ie66muflaD38ZLcGS53ABTsCd3Sl4N1TvkEPN5KOFnokb eQdnCtXPnshptOMM+SZ/W6UijeAZPWmpdevJd9NUpBf4RWPaaK0jKXRnrOa2 0Tz8kr/tUpFetNc6HfR8uvbYOhXpRUY/OmreUfXj83gKHbnB8brjbyk0I6ML 52oN8rdrKtKObvLXXfMYI+d6aKynnruojzwfr/msXVff30T+eumd3orJAL3T R323pNCY7vr+rsV899U81uun5+3yyd5+T6EpE1PoSj+tRc6T++QvOjFQ796e Qo8GaR9oAPzI9jj+z+3wFHVjiPaKj93ygzagCcMcJDcacVcKLRkqP4+n0FO+ b6HjnhT6UtlCK9CDlY53UmhKaY2Tx+gD2kLulPT5v6TI+ftT6EMpx6eO5xx3 O55PoV/4KK855PJix19SkY5gyekHU+Q8c8hz8p2ceiGF7jB3qeMhjT2cIldr aN5ovfeY2uTkiym0g/4Gmt9Q33mZvonnQo1/6JilM/prijwg315NUT+YW137 ZN0tjs0p6um2FFwmZ+bq/UL5g9dwpp3abbXGLPV3TsFR+PmPFPWPvtkp+Af3 XkrBD7jxZIqaBz+fSlGT4MsbeoZDpSwscf8uBQfh5XuOf6aoDwdTcBH+zHfM ScGvZ1PUGbg0UH3wbYHjmRScejNFrYKLP6bgGn52Oial4DrcgWPUmgMpeIFP +Mz61KYRKWpYCcVtpuJFfKYpRpz3dJ05HKTewEO4A5fgGPzifgt/1jje1ftw Bc7An5dT8Iw583S+nPvqFLxnH3BkhmL9iuNRtbljPqK9fZ6iBsA17lfYRoo3 cYczy1JwlD2vT6FxGS6gdXBgY4q7wiTtY7ZinaM7WyPF9knFmvN7Tmf4hePj YvHGDlCs5iguUxQv8v+TFPdO4gmfP0jBac7veZ0h3/eivpGxufomzu8FnSE+ 5msd4r9A65DrCxXzt1JwiH2Su4sVK7RiUbFYvaxYEJMlijP5ulRxm6EYNNRZ Lld8ZioeNRWfVzVnls6ZMyZX3tDZcN5/15k/ptjBNfJsns6eM3tT58ZvrvdT 8AxOrEzBRzhL7oxIwcdlii96uSoVcRbujVSs3tI5ML5G4/zuWy3f5DG6jCaT 60+kqDfkD7WBurBO7YtTcGVDsfF1iuk6xZg2OrZe58EZwJWn9N3/1vnxDH8m yN9G+UfPuFdwb/gqBQ+5Y8DJkyzGNmnses3drDn8vtisd9fKLz4ren8Fizsu 41s0n3jQhy5+neIe3Fbzt8oP95NtKXS1hZ6bq4/2Hx3f6pk2WrddZ7hdz+he dz2fp7m8g16Tcx/p7L/XfN5F06it5A6aRv3uL1+0e2q/7Huc+nYqLrvU7i9/ +EV/S1vo8m6N71I8M7k6WHOo6+j8Ym83s/BDja5ioZmV1M6VraT+QxrjDg4Y 595d1QevstDiGt6+ySLXq3t7rEV+E5+Kui9uVQyITTWfM9pCJ+a4vdYij1m3 svbAmnnaQ6760XPuLHn6X8QIfQNzuDtwF0fD/5uiDv3J8XOKOlGgvhIW/ZNT 3G+GyR9+s8Qd9s39dLjWM9lDxdrZWneffO6Vf9am/mWeL9H67AOtLSM/nCWa xW+hUto7be41PyhmxLSAc7LY74Nud1jo4B7WtMi9XW53WtyVdrv92GKt4W6/ 17uN3c61yJH9bvdZ/J/jTrcbLPSih9u1Fjn4Kb4tNH2y2wMWmveT2x8t6tUC tz9b6OPdxNairhzQ9xfoW/aIe+WU79SgzH1ikGJXUufAGZRVe7fmDJYtrflT df7EB63AZ2P54V3Osrz0Ae7V0tona26O9oDm5Eh/TtU7jRX/8uIA88upv6fb NRZ3uL36zmHiwH7x7Woff1r7P8qa4nZvzs9CHy50+5JF/ch2Et1qUXN+c1vb onaV8P4G6q/p7RuVXxe7nWWR+/neP8OiJozk7C3uTKMseAAHIGk9i1pX1tt3 WdSD79x+a6Hx77rtaHH3Js5TFOsTbsdZ1KXf3daxqL1XuG2v8z/mtpZFrT4O dyzqMOf0vs5qq9uBFnXhE7cXWNwFsnw/N1vU5BVuz5HPI+SjRf2o4HPut6il ud5+wOL+Yd7Ot6jtcPZ88Xaz2wEWNfADtx9a6PAgt7MttJHfMSRygThg4kPm 7oUf9CpL/NmsNppMfeD3LHWB32H8HusvPpwQ5+EgXMxwGN1HB35Se6gsz8Qr R/lP7o/K5IPGTuhdNGafODZRa1M3qGH8Bub3b0ufs92iPpL3Bcr9Kn5Wl1rc rXK83dziLrPRbT+LO8swt0MstGuH/PNdt3tfL3073D2mNcfqHFrIHtGZdNJ+ OmvucbWP6pn2BAut4Zw3uf3Kol7yjQd1ll9baAp6Aq8fFrfbuh1qcQ7k0x3K qSfcPm7xm4a69KhFbfrIbRNx/my3l1to+D0WtZBv3GKhg2gguTVV+QVffhVn JrqdZ/GN1KujyusbLHKM/OpkkQ/kAvz9RRzuZsFXuHqLRW6T1+R3ttr1LfKB XGC/5Cp7ru12msUd+RSLHCO/prtdLg63sjgXzmS+2z4Wv/nQ+0YWms/eT9P+ ieckxRQ9WKTzIf73igPk2TLl2kK3TS3uMEsseAbHDlpoGTq21G1rC26zr7O0 t7fdvmNxf32NuRb33dfZo8W99T23VS1+R6JD11jkQU23qy3uzavcrrS4R6M9 K6QVHSz0i/l1sqJGPuvtQgs9RUsfsdBKdLKuha6haV+4XW9xtz3TQl/43jEW 9xjuMOgu9xu09z6LeBCLvt7+3OI39wiLHCO/HrLYB3to6O3PLH6/nWGhZejY dRZ3IO4//S3ykBwcbJGf5OY33t5mcZ8+bHHunPmVFncvuI2+3maRi8T8S8V9 vEXNYM9dLLQb3b7IQh/Rxv8DMdbF7g== "]], PolygonBox[CompressedData[" 1:eJwtlQnMz3Ucxz8fo5rWrJojIlquEQsllnUojWm5WwmPR0wr5xxRpFCunNFQ jkpRKvd9lSPHyl2ZuxxLydDIZtbrvbfteT3P6/v//Z7f//f9ft+fz7dSYa9W PYtExLtQFN7OiHJ8cB3vC78ybgkD8FWwHv8eNuOF8DTeHybhS2Ey3hnW4Z/C MnyLwN+DVvhhmIG/Ae/gl2Al/hGUwTfAD/g2mII/DPzESHgF6Qodw599xq9e MB5fBPPwc7AHX6F3wO+DCfh3mgNeCrbiG6AufifzvYC3h0OMt8NAfCd8jt8P k/ElUB3/LX1tOtTD7+L/L+IdYC7j12As/g3Mwe+FcfhC2I9fhv34DvgJvwD7 8KnwCd4tPdevYS/eDHrj02A5vjr97gXwPn4H338OHwpjGL8Ea/HZ8BZ+C9cP 431gD+OftWb4dmiDH4OP8UHQBN+dvrZc34k31py0trAZbwRd8NHwIP4trMGH wLPpOWkuPcJz/UrvHJ7zVPxJ6K61hQ/xx7Wn2kt4Fa/I+xa7+R3K0niYG85U xfSeaC8mwp/4edirZylT6Tno3afAQfx56BfO3BG8dTp7mvMJ/Gh67rtgYzrj yrYy+C9+PH3tAPyTzpiypT07ib+oNdVeKuPab97/Bj4YTiurMCw8h7F4Ca6f D3+muXbXHoXnPACegWXhzO3Cz2pP8BGas/JcxOEfzp/5/K0KDcI1VAMvzvVT eHOoyfh2xmfxlrBGtaka1lyhX3qPtbeqYdVC4c1nqyaa4o/AF+HM6H9Vo6pN PaMFXh++DPeIUfijsACfFZ7rQ1qj8Jw74Q2ViXDPmYXPhjHhNSibrhnVij6r kK4p1ZIy0wN/QpkL11T5dI2rtj+AN/GyfOe1cM30TmdOWVOP2JrOsLL7o9ac ewels3oo/Oye6WfpO/SswZpT+Jn/4dfgF9VWeG3bpV1rrFqsxbhduCafwvum s7o4vLcD09nUHqvXDtWcwj1XtVqFce1wzd7KeEi6do/BbYyfS/fmk+GsjUzv rTKnvW+bzp4yoKxMSPcmZaZcuseot6jmXk/XoGpPPUu9rEs6a+ppf6d7vHq7 aqw9fjf3XA7vqXpNQXov1XP6pOesuarnzsBfSPeG+boHL53O3ib4Hf8jXTtt w71Z9+iaevTKdM8rwNfDY+kzRWeJzoB9+IF0L1WNl1Rtpu/VmVMtvWZaK+2h anV0OpuqWWX7gXRvVcY34feks6EzTlmune6lyvRF1XL6rFJPU/Z1JugsUA1o bV5O92KtUeV0xpQt7elCrX26NmfCDnxn2nXm/JXuaeplOsNU28qA9l41Xil9 5umsU09W1mam11aZU23VUQ2Fa2yx7k2fbfrsKn4lvdbK8Bl8UvqsVo9RFhek z3plUr1dPVC9Tz3+f9i5Gb4= "]]}]}, {}, {}, {}, {}}, {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl1GWUFQUAhuG7SEgj3d0NCtIgnQJLN5LSKiHd0kojoEh3d7OUtIIS0q2E AtIdzxx+PPvuN3Nn7p7Zc2+6Fl3CO4eFQqG4fmwhwu9JdCuJ2cRm1rORDSRi L+soxlqK0ppWFGAibYPXRgqF2ugMUvCSkkyiY/AeznfQ2aTmDZ8xma9I4nwX nUs6wuwyOoVuJLW7ajLtrmX5jzvc4l9uM5+73OM3KnCEivQiiusz6QIyE9Xu q1XoRzQ7iy6iKg8YxP8M5D5LeMhxTvAn1TnJYM4RzllqcZ6hXKQ2F7jMJR6x glzE8t71dDo/kZvYjg3X+jQmgd1IC5OPuPZobcJ1mvI33wfP2bkf9AsmBM/V Hq//cIPD3KQl8Z37RNcwljT2OP2ZFnxkf6yrWM0Y4jmWX4vQjIR2c23IKOLY ebQQI0hlj9QGXOEaV8nLSp7wlMc85xnTqEtM1+bU5XxHSnuYTqUOMewcupRl DCG6Y9n1EAc5wBlOk41PqcEpavIXn7OY/qRw/QD9kWp8aGfVhfQmud1H97OP yvxBRgpSid85xlHK05PIrsugH+i3Wo4eRLLT6zzSErK/0dJ8zdvg/8Kc4Fny muBDXYpOvAqeC7OCv40XtGcmv/BlcF/3bKcl2E1x9vArydjJLrYTwQ6Ssi3s /ffGO8XOhUw= "]]}}], GraphicsComplexBox[CompressedData[" 1:eJxtWQl4TdfaTv1cQ4pWuVpDFUnV3GoJEv3qxyVKtLRmrXD1Nm5LSHENIeVW K1VUaoqmiJlbEUMikfoQmQSNTCfznJwkZzJEqar++6z1ruX2PP9+1pOTlbP3 Gr7vHb6103XOwonzGrm5uXUyfjg/r2WcT1pybB8l9/J6rt0vDnYT18kE+XmL T3n4bvXwjeTVH/+n9Tf3HHws1i0s1m0/31zf8PP6BgdPO/DNJ7Yu0Xx/85iO +QUOjhT3n+Jf9kW/+Uaug9sPfhC3wXSat3ZuMeP1Gw6Ov1a90PzgHMc32tzm o2gHW2I+LYz59DyL4fc5uKZ9Q5Pg4czlr0cN/fILB/s0bfPjySEX+ejgU3/p vsrB4WL8y5z7ZfLDjKnGfD7L71SlJXJckPlGhLeDa/1LWxzunMw/BhYYvzn4 gnP4wmQ2FmM8YeeZQQOnBA1M4S6O2y86btu5UsyfzmK5X9r5x1kbCrYduc4v JQX3DRtlx3MZvMA5TIyNt4v5M3lqlw6WEXNtXHB1wlen72TxOOPncxVW/vXU 2L2RsdnccvWCinsHrBwv5s9lY7HGExYO+zpxe/x8E6cl+b8966yF586f7djZ IY+LxDosXLjlcb7RuKB7jNHquVT8vZDXO7fbpZ6fdn9nZNTSIp6dsC241dE6 3p23ISJvQzGP3epcWB3nXfC3dcwt4TOLcmjv5lpuJPJYxo//cF5mftTM3v3c 5jI+tTStwPOfZn7mWedVzufENDVcLfBQzs07+NVf8Knh78R+K3hOsDND1fy3 ffn8VkIF5yV1mzivSTXfOdr+7tH2lfyy87atVXx79r6hd5Mq9af6+0kRyAr+ Ylzqv8elVvHdHmvu9FhTwfV+x71/tFfpefxO+ra7l1jNvf4Re+v4a+X8bYc8 70N/qeGek/5nZUp2GRcFLDmcE1Gj99Vi0NHI1edq+PCW3aau8aV6H9kCH6W8 Imt3ScMhM89da++V1LiYm3/gdym9Z62Oq4DXllqeGrP6WJNRBTqOnZzpDc7j t3f0mxX/WR3/tMxR8tNKE1fcfHQpeX+dzqv5zfMhee/Vc0bw0qeij2bzYmN1 k5fV8/wRy1tWD8zmx7c//7ZzC4vGzaU1czaN629h/5gBDyZcu6nzPgw4+8A7 rtXpJla2pO4+cvj6dV6ZNGVV0hSrxmn0ru8OH8qzsiOq6nJlQwr/Zqzm13U2 nhfaPP5420S+cihzS9Aem+bJOx2HdXI/YuOuHnPGVba8rHE8X/DtEof4TB59 YrGdX+078sPzPc7xWP+nQmtz7JrHsWKfdl4sCBrNc/b+2yt8qIPnTij63up9 BLiCbrx1MeGP/+4bOvLn/kGtK25/um6R+g33k7r/z/2TCY//u2/Mh/XQfKyn mc3zzI4MO6n1r5H7Iy/s7xO5f1qM/fvJ+JAH4pMo40cqfo9kfGk64ntSxp8a EH/kh1R+Zsn8UQPylyfzS2OR34sy/zQP+f913Tej7za1kMLHvyR+aDLwUy3x RTnAV6XEHyn8jZX4pMvA598kfqkX8NtE4ptmAd8tJP5J4X+55AcFgB9nJH+o CPxpKvlFx8GvQsk/UvzbLflJHcHP8ZK/1Bf8Bb9J8Xud5D/dA/+7SX2gs9CH W1I3qAH6AX0hpSMjpf5QAfRnixyXPoI+VUr9InfoF/SNlC48lPpHZ6B/jwSe SrGfWs6S+kkx0M/vpb6S0oVmUn9pDvTXJONIodBnk9RvKoJ++0t9J8Xzb6T+ 01Xo/ymZR3oEf2iQ/kGt4R9XpL/QJPjLJokTmg7/+exK50Wji26Sf++uxZ+E 2JRfkeL5fuln1A1+liVxSvvhdxOkH5LywxPSL4nglxnSTykKfrpD+i2dh9+G Sp6QCX7cR/o1Kb9Oln5Oys/Tpd9TAPz+B1kP0HnUAw1eol4gVS+slTwmVU8M kfUGqXpjvqxHSNUji2W9Qqpe+f/rm1t0dfyNpUtn2Dlwz1dtG913ULcvLgZ3 m2jn6gvpnabYHSTS7Wvn31dMn5gR5aBFs2d2dG9qZxHWTx10b/S2070u2dhn 6YDA1LkOHe/P3J9rsaGrg04OW9PhYqCNJTzs5CkuGw8KCDOanQ6OLzgwvsCq 9Sj7kwP1HawWDgzp+NHRZTbKe7Z5Ze1/LPyZZ8gHywbbNH7SDs68enCmlSwp q60pq+u1vsTdWvhSm5V1vK9pqmPp/1ro8+FX38icUMcBU7s19mpv0fgd774w f0jPehrxQsG5+i61Wi+6BzbqEdhI1QN1ZBdXDRdu/j1v8++1mj85d5KbvfzQ TDtqHX8/m1DNuQ9Cox6EmmlM9vDO2cOreXJYSoSntUbzdax9lvVYVQ1tSW3t cN9QpfXltcjgNyKDq7hlcYbRqsn77CSjVXIPv99/mFHxRC/6NHO2Kgqd18lo T/SiieWvObGV5Symj6qkPhcqel+oKOOk5ebLy80VWp9SRjT3L46soG3CeEu1 Xjxf4/9ijX8Jh+9yXuV0TVxFPG7EDUNpy7U+jtnwndHKaOyBkUYr0HrRIObN 4x2LexqtlLr8Fm00E/euNWVtXVui9Xm+yG8xhc+oyHbE5fDMpX6hr3oV06AT D5s2PJuj9eN6j+BMo/GAtRse+00uJO9pfRdunJ3J+YYKvTKiUPvD985pHxTQ jM7OgN/ktJ0bjZZPj+/0/+NO/5/Z8X1b/wXT87QfybiYyNHuw9vtPkzTetNK FC5X+CNx5dKA151XIk+d4zl5jmeu9r/jTrhdzaGNTnj0uMjVE/sZLYdMAhfn +BffPQ2+e7K1394sTZu/fG42vWKsPpL382rhj9kU0XTJO02X7OV26YPbpg/O 1n4ejO+nyO8pA887FojnqQHjKx2oxPw/yfnpMNYXJNdH72P9Spf+jv29LPdH av8t5f6pJ+JTLeND9Yif0slkxLdBxpc2Iv4jZfwpC/lRutwP+Rsk80cqv9dk fmkq8j9A5p+8zUFvmoNK9LrCgKeOEk+k8HZX4o1GA4+jJB7JF3hV8+wEnlMl nskF75QMPnwr+UCXwBc1z33wScaljFz4Rr3Ax68kH8kDfFXzuIPPQySfyYXv NAZ6sEnqAU2EXqh5TkJPXpR6QlnQm21Sb4C7Wj1uK+iVVeoVuegZvQ29Gy71 juZBD9V9e6CXa6RekoueUgr0tk7qLQVCj9V9C6DXuVKvyUXPaSD0fr/Ue1J+ 4CH9gILgF1HSL8gbfqLGcfEbegQ/CpR+RFXwq2+lX5GLn5GL36k+qz7uZ3U/ xmM1HuZjNZ/0IQf/gvVgvdrH4H+s9qPOD/A/gv/xAcRD+WYu4rVQxpNNiCfi rX0O/sfwP+2LPyFfe2U+eS3yiXxrn4P/MfxP++IrwAv8j+F/lCvxpn0L/sfw PwqVeOWGLIlX4Fn7FPyP4X/aRweBD/A/hv8pPmmfgv8x/E/7agvwEf4HnS+j y5LP2qfgfwz/077aDXoA/2P4n9IT7UvwP4b/aV99DD2C/zH8T+mZ9hn4HcPv tK+aoIfwO/aBXkbnlA1pNKpQ17mrpN5yb+gt/I7hd2SReq3rWvgd34KeKx/u A72H3/Fr8AP4ha5jI6Wf8DT4CfyO4XfKj3RdCr/jntLvaJX0M24NPxMy1jlb n4fV9+/DDzPx/Fz4JfxUn7/NmN8Bvz2E9cHvlF/r834A9ucDP1f77wu/74f4 PEQ9gHpBv1+4hvg2uyvrCfgdj0C9EYv8qHpkIPL3FuoVld/nvULaeIVk8oqV m77umVvErwjcZvOHwIM36p/Fsj7ig6iPUD/pdYcDXx6or1zwx2OBTz/UZ6jf 9Dp2A983Ud+54J/TwI9w1IeoH/U8D8GvfqgvXfjH/cDPjahPUb/qeVqD38NQ 37rwn8dBH7aiPkb9/OS9GfQFfsgm6M8u1N8F0Cc1bhvo1y3U7y76xhOgf6NQ /4eJddbzsSHjV7w7vJa/nDCvZ6sXLPq5/dDTdThPKL1tnO476PGqOn5kT6oZ 0NOqx0mHPttwPvEU+7Byl+Br208b5+Ebt4devz3UpsdZBL3Px3lH+cGkf379 ZpTdwr2CmhjNzh9HjzCalS/2L/i0k59dj+sFP1HnqYCA+Lh1+Xas36bfX00v ihi/+WUbL4E/ReN8hvObntfF39T5j9X5D+dDVudDF/9kF3/VfeXDah4Bp952 mmVaYjQbB5feN5qNxmDdyk/dE199OvFVK/v8fNdoVu13q/DeKe6EJf6EpZ5/ u+AwmgV16JNz4cfhhwLCD9VxvLxP+533kXVDj6yrp/br/Z9f71/Ly38wG03V P2btl8mLOqUs6mTmwZsqjfbkHPir4EUtLREbqOb7YgNmGgrcpsIvFY7xHHmg H4N+V/SVv2a9Md5olYxxtV8te8cpmNX0+UvN1r7UrIIHOm/LqiJ5virXfuuM 1tOJZdwgAlap/Wqg0MNKYmeYfivh033ST/VJr6CPoT/Kb527TVlUxIvFL0/O gXeFXpbTChGnfMY8qJtN2m9NcuFcKgOi/cf/tnOAUhLby8rmD8SNxXQBOvoH /FbpKubFe4hMvHcopI3oK39uLPaXwRFC5/KpRMz7M0/bPs9o+XRM3HaDR4qB 8vW5cIYAkIl2OeERcJWxbvIR9z05J773vvNKYvHxfo4+F5qkr9EzjYcb7SLL vGXRVfw/R/m3WMa0GH637Sij3dTnxEnC/zLoBYG/IyzCuvwGvSUBov28lRg/ hMPlOvW5ca/Ybxq1Ed/vxTzJVN9d+nIu/Fz59C70w9Dfiv4R9JX/dxb5T9Cf 6u8ezvTfPgt8JlI753bePUP9xXKv6HmeF/tJVfvS58j3hH5HgO/XEbct1ETm T+9Lxam1/F7HsUbUlxHAdRb9FXGT/pmj4yrjkEtt5fp0HpvJ9YPHedRB7o9P A0cTVV7/hLPLGneIF5ehr3Cg3m88I8ZP4tUC+MUqH7xD3FdC6v9wiidhMn8s 41BGyC/3EPEs0zj1FwEtJ+BD83ScxI/mMeLGJeK5Ss0jMfwzVZQp8al1IgN1 mcR1NQHf8O0azVuxrHDjHABeK516T/JH695UyTceAN2MhW4oHTWp90noI678 NvpKZ2Qc6oGTYq3j06V+sEUKOUFfUKdYtc4Ng0+8Bh2U8bCRnKdc+4qsj8t5 sxMOg+0EvdPvK7dCd+PQVzpcJuZ1EOKufe11qa+6Lz9DhpzD86F4LxuI+RVf 4IeY75Q+9wLPBJ9HfM5TCeKheFmI/nb0Vbwi0Zfj1iOfyaTirXjpi34x+ipf ZvTlPmrpKfA0DvlXvIxFPwx9hY+d6Mv9VWMf2dQD+FO89EQ/Fn2FzwT0C4Fn X+g38qDf9yBPCk/6PYzyD/lcOdZRrHCi3/e4oe/m8nd1n3pOjVPqMk+hyzrU utQ61brVPhJc9hnrEgcVFxUnFTcVx50ucQ5zyYPKi8qTypvKo9klzyrvvi64 UDhRuFE4UrhSOFO4UzhUuFQ4VbhVOFa4VjhXuFc8ULxQPFG8UTxSvFI8+z9V /SMm "], {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72}], LineBox[{73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143}]}, {Hue[0.9060679774997897, 0.6, 0.6], LineBox[{144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255}], LineBox[CompressedData[" 1:eJwV0VNXAwAAgNEt2/aybdtcdi1zub/f7eGe871/oUg0/BoMBAK/BESQGGKJ I54EEkkimRRSSSOdDDLJIpsccskjnwIKKaKYEkopo5wKKqkiRDU11FJHPQ00 0kQzLbTSRjsddNJFNz300kc/AwwyxDAjjDLGOBNMMsU0M8wyxzwLLLLEMius ssY6G2yyRZhtdthlj30OOOSIY0445YxzLrgkwhXX3HDLHfc88MgTz7zwPzDK G+988MkX3/zwB7B1Hg8= "]]}, {Hue[0.1421359549995791, 0.6, 0.6], LineBox[CompressedData[" 1:eJwNxsVRAwEAAMCjFFqiBAogz+DuLsHdnWAhuLu7u/TBPnZmE5NDSSkJQRCE CEsqaaSTQSZZZJNDLnnkU0AhRRRTQilllFNBJVVUU0MtddTTQIRGmmimhVba aKeDTrropode+uhngEGGGGaEUcYYZ4JJpogyzQyzzDFPjAXiLLLEMiusssY6 G2yyxTY77LLHPgcccsQxJ5xyxjkXXHLFNTfccsc9DzzyxDMvvPLGOx988sU3 P/zyxz88I04E "]]}, {Hue[0.37820393249936934`, 0.6, 0.6], LineBox[{486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540}]}}]}, AspectRatio->1, Axes->True, Frame->True, Method->{"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange->{{-1, 1}, {-1, 1}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.5644798712616973`*^9}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["\:041f\:0440\:0438\:043c\:0435\:0440 3", "Subsection", CellChangeTimes->{{3.5644614777357874`*^9, 3.564461477766987*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"a", "=", RowBox[{"RegionPlot", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "-", SuperscriptBox["y", "2"]}], "\[LessEqual]", "0.1"}], " ", "&&", " ", RowBox[{ RowBox[{ RowBox[{"-", SuperscriptBox["x", "2"]}], "+", SuperscriptBox["y", "2"]}], "<=", " ", "0.1"}], "&&", " ", RowBox[{ RowBox[{ RowBox[{"-", "x"}], "+", "y"}], "<=", "1"}], "&&", " ", RowBox[{ RowBox[{ RowBox[{"-", "x"}], "-", "y"}], "<=", "1"}], "&&", " ", RowBox[{ RowBox[{"x", "-", "y"}], "<=", "1"}], "&&", " ", RowBox[{ RowBox[{"x", "+", "y"}], "<=", "1"}], "&&", " ", RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], "\[GreaterEqual]", "0.05"}]}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"Axes", "\[Rule]", "True"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"b", "=", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "-", SuperscriptBox["y", "2"]}], "==", "0.1"}], " ", ",", " ", RowBox[{ RowBox[{ RowBox[{"-", SuperscriptBox["x", "2"]}], "+", SuperscriptBox["y", "2"]}], "==", "0.1"}], ",", " ", RowBox[{ RowBox[{ RowBox[{"-", "x"}], "+", "y"}], "==", "1"}], ",", RowBox[{ RowBox[{ RowBox[{"-", "x"}], "-", "y"}], "==", "1"}], ",", " ", RowBox[{ RowBox[{"x", "-", "y"}], "==", "1"}], ",", RowBox[{ RowBox[{"x", "+", "y"}], "==", "1"}], ",", RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], "==", "0.05"}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "1"}], ",", "1"}], "}"}], ",", RowBox[{"Axes", "\[Rule]", "True"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"a", ",", "b"}], "]"}]}], "Input", CellChangeTimes->{{3.5644612134057226`*^9, 3.5644612336077585`*^9}, { 3.564461272654627*^9, 3.564461437144516*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJyF2Xts3lUZB/A5CBCgcSKgFARGcDYIZqIVIYMDVJYwk2UgchFtEASCjUGm 4EYQFy7Ngooo5R6QITELbgNkiIzhb4TBbqV02O7dpYxuGWSwTMaMgkxWx3v6 OU2e5o39oyff89yf85znnN95x1969bmXjx0zZszDe/59PH79oHnttWkbK+NN l131XGtXreDrM07wxDymRnJx7F444bNdtd6Cl2acYPph+hvpieMXD1z+9pbW pQV/sGj/X3fufKzgxRkn+IjMXzB/YP40soO/kV30Rn6gN/ILHY55i35Hv6If 0W60E0fxw7EO4rrFvEU9cbS+jeoq1kGUi+Pr9fjWVyvrdgfLaP4L9Xj7Cu7P Y8J3VKYXPS/n+YI318eVRc9rGaeoF367jhcVPKb+t2AxvCrTi7z1gPkHG6Mf 7Jg3/r959s2LJ2L88oNuPWD0RnGjN8oDPTD7MPmYt0Z+x5E8rL5g6xfjiH7A 1gu2XuTVlflGeYp5iXFGv2H1Gesk+gHHujYP20ew/Rj3U9yn5qOceGOeYf2K 3/oVrF/B5GL902OM9W7eesU6QZevRn6hN/ITPfod7ca6gcnD/MBnvzXyO+7L 6Hf0M9qNdqxrrIt47pt/6/kblg0NvVEZT6jTe9LET55ybHvbuqqzrndZGbuf uffcpjf7E4yPXOTbmPUWO6dmvirq78v81c8yTjA+ci0ZJxgfPeQb6Y18ceQ3 zJ74oh9RDh+6uOUhjs5bfYT8Q/V1vb/MRz7n9qHP1flKfsjB+MhFPvboMcZ4 zUc5/ZCdE+t1ubD4o55h/RH/wZm/2FHvsLjZYZcdON6b2EFnB2ZHPbxQl1tS 1hHuzWOpI/OwEZ8x7hvz6gVmDxa39Yp2yUf/4nwjO/TF/stPedKX6EPXf+I+ ivdp6yWeRnXBDrp+BtNnPclHP2HysHj5zV+Yn+qmUV3Fuov3C/KxzqJfJU+h zuDyfTOM4z1An4fx3XbFhn8tmDNQ7rNG/R7Wj/RV885peuQt3mPxwfRcf8n7 sxZ3vlbuMeX7L+sr6yB/8T7gPCMH0z8960/xO0B8sPj0X/rLd8ywn+jsxBE/ u/jZMeKDrYe4+Vu+e4bj0f/JobODrt/yg3+N8hbrxHryK9YFf+Qt6rFu9MS8 x3Mu1ol8sxO/+8RZ6mjYb3ropwdd3OjyE9fFOoiffXzs08NvdPHTg08+xA3H UVzxvIjnhr4W+yY97IoDjqN6Ke8N4h72I54D7OhD8Zy2X+UXn/4Wz1nrxj47 5OmL7xODPV/5aMWee+vgvKVdnb9bM+pdAX0gj4U+b/eF36uNG6nbO8a+9dvO E5ePegfbmvVWfYff/pfW89aPehc6c0lv+87715Rzae7bqzYM/WLkOwHWn/Hz j/6T+p7saZ4ycq6ekvlK33846ynnCswOeXbIx/ekWTnOJJ74ntSS9RQ52L4g L3/m5W/UO1q2M1JXw9h6yYP1ie9Bj2Y7xT68+cruGYsn1FJv09lzpv1tY/Xl HZMGhtLSMo5vf2Sfx8e/mCYs2t7dPOWlataHt9SGtq1JR22848lpnS9V5vG9 9kDTWS3v9qdXbhj30YptS4pedsjRg4/cadta9unad0O1q/vpvubNg9WJ78z5 QW3H+uroz108r2PtYJnHZx5f79Rj5nZM+nv11RlP9Axt21Adl+cTvq9luUTP 8syf8H+47RtrmscMpt15rN7PfMWv21/d7/nmKT3V7CcOuHbx5HUj+2y4Dva+ sPpprXd16a/08oscPRM3HjNjcecz1fl7jb26Nq6/mn3tx/1mUvWJm2/9dtOp fdXsC+o4wQdl/oT/hpuu2KvrnoGy72dl/Yl+fOwcOXjxITObbqsGZlxyZPud 3dWX3qjjBC+/u3/Tlqf/mja1/PiZ1r4V1eo8prfy/Kg63doxZ1nzlLXlHlj8 bhAHO4386M44of/nprp8ok888sBPfvMXnpr5E/4d2d9yf7Q+6kCc9PCDX9GO fN+Y852Oz/oSfaW/Du/TW/J6lXuDulSn6lKdWkd25EFexCVOfuA/IutP9Ktr dX5grtdy3vJbHPiM9oF90XnYyZNa3h15H2OH3diXLp78ckvbOSPvIpdlXN7J nDPxHQ2ffqZvso/POUDevpB39Uv+xiw/6j0bP3/je130mx/6tX4gv/E9XB06 B+J7H7o+jc4+e/yM7+nsOif4ZZ3R47nNLj93Tzxsem3aUwUPZlz2u3PZeXro 3c/u3VVbNer7kh7xwfGcJw9Hu+Rh8eq77O6T9aRol170qFc/g+O5K3/sWX91 xF96Gt0zYOsf3ynJl/vXcP/Q79VpPNfVB3/sp/jurK7tF3R1xI444/s4Onv0 2Xf2u30S/YL1I6P+5Zzs2j6naeaPetKW/y7cteCcdZW+FM9TcvjI4SP3Tr6H VO4lRvOPZrmKHveV2fm+Un0q4wQvz/JFLzl6BjJOMDl6j8n3rOS+Fe2YxxdH 9yj87Ik/+oGPHD508biviSvOw313TX9l6PfdI++iw+ek8/y4f1z3VOvB3ek7 2y/654qOPxa+KLcl4+ruzFedkuUqcnCcp5+c0Tx+8/GeEfXMH3jn+eaV86tp L555X8fcVaP62jWZntBj3zo9zxc9+gw96PSg0zP91t+c3rZu5PdT56j7re/T 2aet3rXgjBXlOxE24nM/cq85+qFLq9bz+su7m3uD+2HtzVdvm9PVl5bMPvuu jq3zq56pHb+cM2nkd7ZyHxu+z+33QutRM2f2pRmffnDTlv65Kfr1/QPmHdh1 wbLqwe9eddXO+5ck9tGPveiHf+jYuud+Nv3m62q9S4pf+NjlBzl0+dKf3Evc n7ZcMym13bcp7bxn1riZr4y8B0W5mPfrMq4+zHLV1qynzOMzj48+fOzi4w9+ 8bbkeKqB/D1Urc/fQ9X4nJfq+Jynyrq8kdepvFOvyfmpFuZ1qMbldamsCyx/ 7N2S9SX6fI+xb13YJ8dvfPzGx296+T0xfyeW78Y/5bqo1Il5fObxzcj1Verk M5k/4f9W5k/415/w3kcLmtamz0/YtW/X0IryjjP4q8sPb2/rqXx38l898l9e 5VkeG+VZH8Nvf+CXP+sgP9ZBPq2DfFoH8ZMXv+9v8dtv9jP98kaPvNEjb/Sw g58d/OzgV/f2gbq3D+RZ3uVZ3uVJ3vgtDvvGPtIX9Un7Xh9gF/8huQ7S5lwX 5feTWdsfWTPUsedekOuivNfhUz/44u+v6sm7VPx9x7uSPqwv+31i5XEnvdi8 cmXpk+re+xF570j0OoecN/R451uUcXn3w+/8wc8P/LB44jsWzK5zLdplBz3a ie90ziHnkr5h/Z07ziH7Tr3YJ+opvuNZf33BeusLU49/tq1pz321/4z5+z++ 5578Qe3fYx9v7U/tk39+VtM5r1eTMz2hr85jkRt73+Yz2g4brA564L0ra+PW lbpRR/SMWVvXW33wk29eXrtjffXnXW+mtpNXV+dnekKXT+tEjzjIP5blS1zo /Nk/+1P6ID52d2Q9iR5Y/PwSrzyIc/e9dTuJHVi89MibfJHnp7jJ0YfOX3Gz Qw+/G8UlDv5Ev/knPv6Q47c8/A8m/fco "], {{ {RGBColor[0.798413061722744, 0.824719615472648, 0.968322270542458], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxNmXfclcURhXcWFJEmIEVAukoTRcAKCLEiKIIoxdh7x4oiIlawxoK9gLEb sUSNmkSjiR27RsUW7EZjiRoUWzKP53w/8scwc/fu3XffmTNnZj567HnYhENr KWW7/KdR6tWilPdSD0zpnPbHqYemrJj2u6nZ+07KkpRBKZukNE9pi849/0jd OKV32i1TSspHqZp4330pG6VsmDIkZaWU1innpOyfMjjlkJThKS1S7kr5fco2 KaO8d9WUzVM2S2mT8lTKMN/hsJSRKauk3J7yK+9/LmXrlA4p16ZsmdIuZSzv nNIlZV7KjJRtUw5I2SClZcpfUyam7JByccrxKeNS/ptyYsqUlM98xhopM1Mm paye8kXK5ynjU9ZKX8xKPTmlfdpf4qeU2SlTU7pz71z/T+qeKV+l/DtlJ+KT 0imlB/tyz7LUuxbFB/82c0zwf9OUPVPWlvt/iSexWyFlj5TdUwY4puug8VHa 36Xug99DsVzP8Wju+BGf9R0XYniuY3ig49mq6IGtHdc/OpYj+M542Djt81MO KsLOVSlbpXR0zNv6eQ+mXOdYXeC4Ev9Fjvemju8W+NJYIM48e818zhqhmE9y TIjN9o53Z8e4i2NPzCc4XmBtjH090X7v7hh+5niNcxzY8zfHm5he5ljuXBTD Nb2PmO5I/B1P4t6XeOR641CcmqVe2fEgtsSiv+Pya8drpbTXLcqvfR2bhrwa 7Lj0yj0Rys19imLI/g4hzO3iuO3n2H2Y8kFRjm/ouJI7NzvW4H9BUS4Q31u9 jz2fFMWzqT8Psf+bO7Zg8mDbxPV+fx5mH/Wwj47wWju/w3CfMSflUH+e5viv 6rVNfeZC32mk47Sdz23t/dzr8CKc8Ns/+yx4Ya6/AzvnFXFKG8tmPuOoIq6A N/qF8ANu/pByXBFW7kmZnjI65dgirgIbxxRxDhg72nvB+ZFFmAe3F3rfWJ+x bVnOR9hg8iKfu52fOc7nw9V7FeX4Kyl/L8Jx31zok7I47TOKcA/ma4iHwDDf T7TPeMYkP/PMlBP8uW3uaWPsnlzEQ33tX+7Q08+c7DN4HjzWLeXblKVFHNXD 8eZZJ9km7l8X4ZH7/JCym8+fX8SpXVN+TvmpiLOuLOIvcuG0Io7j3cmJvYtw Dn6HOO5nFeVAY583y2fyPfiHo8gbeK0Bd2ALXD2R8ngR74B9OA78g2W4C2yT H9QJcuTRIrzCd6uHNGeC64N95iifx91eSvmLYw8WwST4BHeH2+4aOotcBC9g CPw8WcSJ/AZcgyewBE7JpYa6xtlgCQyCYzD8SBH/cic4crr3vJzyUBHOiOdM xxQMzrBNzI933MEyWASHbxbhZqZjO9uxBkNgCf4FF9RKsPF2ylved3kRJsAD PHeK4zvTZ3IGuDi1CBt7OfbEfTvft5P9PscxJLanO77k9Fz7FYyAiQb+PMfx v6II35x/tr9r4jj/piznsfMd/2n2/yj74GL7hjy7sCzP5Xn239VFdY7YkXMX +e6865V+X/x6iX2LPy6zL0/1/fral5fan1v5zIa4X+v43lCUP+C8Z6hH4TMY XlCE1bt9J+7zW6+D7dv8uZXXrvH+G31+O+vr/Cyef73v8KqfzXOf9m/Y/7uU W3wOeMamHyB3wHULf3+z91zj32DD6wt9n8dsjyyqP7d6faTtVfy+NxVhbKHf hz3kCL0COQU3U+M7ee2Oovy703Z7v9Odtsd4f0d/f7vXWbvL6y/a3sb6bq/D K/f6Xbu4vjf0aujm9tOD9iv1kfwEa+Qu/EDugvGHfD51j/4HPiEvHy7i/GFe x+f0XfAROQFO4TJ4h9oHd0zz58ftP363yL8Fvy/5+Yscy3Z+92ftK+5EbwVv PON93Ot5r3ew/UJRTaQfe9422H/Z78S9qR9wy4BQf8zn14rq2QSvY4Mr6trr RX04+o3/sxc77lNtdy/qzeAmuKRjqH+iP6ZvQa9cxEFv+Xfk3Nte45mv+rn0 VEuK+hw08w+zUifPSmG7sWck+ik0ffX7RXtWsObzQN9nic9p+A17mLk+8G/R H3qduvQn+5mcBuu87z+LZgAw1STU01e/46dF/dnH3je0LH9/3oWelvmks/d+ Yp/0D33HOrn5r6KcpV7TA8M/4/373t5Pb8R33UJ9Bj0uXEYfTP2nd6D37es9 2L289pVtegB+18/P+drno78p6hW+8WfusNTnr2XNZ+oI89FSr6O/9XoP9zP0 1vTY3xf1J1/62X29xnf9vX+Zz/nRe7jb7kU9yQDrn73/B++jXn3n7/pbf+f9 Jzp+xC48H1OnGtlv+IG+k3X60EHex57e7u2b+s7sxz/zfeYUrzVyn8dcASZ5 zLu2q/UKtpcU4ZvndPG8D/bAURPPIwjcxXpT51EjYwm7se/b0ndmralnFeZI 5klw9ZHPaeLfNvf6erYb+/tm3gN2W/p98R+z0ADHmpmKuLQO2T291tr9Kr9r 5fvwuY33o+lr+/jMNrbbhc7v4+e089yFn5mb+hl/7e1zdAev05PQiw+0bzvZ 5/i2oznnPe8J253MFbxvF/v2Y8fgI9udYzkPYA+1bzva/9RM+sMW1tTXEcZv d78v+dvVPSTY6BbL866b83Sp95MLDf3rCPumh89Z5nzAZ9RY+Ge+cbWi70nf +kBRvQWnvRy74Qm0EVXfHZBrr4Viu0muTQv1aHum3sU4nJ3r80P92oppN6nC yCu59mqot2ueay2qnnUw+R7qHe5NfUhV7Vk5dbMqzuyeerJjdHvqOVW8dlXa Oxuru+XabaG+r2/a+4X6pjdTX+58YW6iDjXUHWzqDXWPfno1a2reaPuht/Oc vhCehFevST3F95mXB18SwhGcCp9+5r39vb/hMzMatYm6SK2kZmJTp8bmObNC dfOY1MtCvczeYC3Uyz6U+mTnyGmpHw5x8+n8rso+nlyo6n2Gpz2mavbYturv hA+nvQgfVPXNF6T9cogXL8SfVXPaNmmfV9Xn7ph6YlVNPgs/VeXXlNRdqjhz aurVq84Zn3r7qr+9TbdP8efs1OOq/L8EzFT9PWON1PuEeq2pqa8N8dbZnBHq nbnLC6H7PBW6B3fYJ9fvCPWYe6e9UhX+3+edqvr+A1PfFep37kk9qmqmujPt wVVzF39IvS/UDy4M4QksXc9zquaSLUN34j70ROAE7Ew0tnivM/P7B0MzwZzU n4b6/nNSvxHiIfzXyT5ckPql0KywddozQr0i8TzN8e1cFQ/e/ZnUX5i7+uf6 BqH59uqquBLTyWm/6DPHwhOhWjY310eGZp0HUh9V1Yf9mPZPIW6YF8IBGDg/ FGPiOyv12qG5vUfaFxvzl4ZyjPwamHpb89tJubBuaIYfnPqtUC90KvEM1bg+ uWf90Bx+CjwRmt9uTP1OqL70yvV1zCePp/48xPMzc/3R0Ly1A74JcSM+ftZ+ 7omPzQ9XhLAFrrrm+qRQjW2a9qGhXrpj2meE+skOac8N1WVwfYFz5PnU54b4 tiGHmbln2SaXwcsNIczcgp9C/E+unBfy592pD6rqyxcbP93xW+pPQvPkpmAz NCPCu7eGuHdSrj8S6kd2reJWeBXfX2n/v556cehvSDuRu6E7tkx7WOjvDltU 5QO50CrtVapm081THxuaFbYI+feX3qaKU+CTkVX5Q+4cnfq70Gy5eSgHwD81 4epQXXgPnIb+VrdHFa/BafjmZvvnM34b+rsC+IJbf+HVtJ903MHFRsbG28Qk NPevTy5U9dng635jDL58IsSZYHCQcTianKqazb7Hl6EZmHp1U6hm0YfA/9TB Izg7NN8sCOEbbB+XdpsqfhsHfqtms2/TPiQ0k5N/o52DP+Dv0OwIjp4zlsjp Mc7rr1N/FZrzwT41FfxvnHqjqlnw8FANpv62TT0+9LfMHVPPqJqL2qWeEPp7 J/WKOkrNAvuXGf/UT/KEHCEX+1Xl45qp16qagcnj3n7f3UJ1Hf/sG6q11NnD 0t6wasaEJ7pVccX+aQ+omvuHph5SNeMeRF5Wzb7gYlgVNtZLPahqnt4plKvc c0uwWTVXg9/NqjAM/61dxYHr8H5V/091ZCh/yJ3pIXyD7etCXAPPwJHwLzxJ Ph1XlVOPhfgFbpkZ4k04E2yeUIXPY6s4An44JnX7Kh4gz6ZX5drTIV6Gky8K cSg++R80IcNO "]], PolygonBox[CompressedData[" 1:eJwtlnn0T1UUxe95WKSkqLTyh0VRS8lcksxDKDNJhF+ZUuYhhIoMlczzrFBE iogoKVFpkEaVJinRaiWlJPXZa3//2Ovuc+979913zzn7nNJ5/dv0y1JKr4L8 4P5IqRETQ+A3gwHYrcAkeENwF2stsCfCd4Oh2O2wH4V/CQbB6zI3CN4Y1Iaf BxrBd4BPWe8OCsEngLnwj8Ej2htMg3fk+fHwrjoD9i9gAbwcWMjaTuz28AsZ 52OvZiyMXYTxRnBT5m8NBE3gDTP/i/6xP7xxZn4AvMXzi7EvZrwKewF8LbwY vCjjPOwVjAWxz2WcjT2PUXdWQPcAuRvUxj6ub4TPqLOVwT7K2BCMgs8B2+GD WT8ILwW2YZ8Gq3Q34Ed4fTASPgvUgx8Ek+ElQRt4HTACvhm0htcGw+Ev6kzs /Tv2Evgm3S/2YuxK8HMYN4N7mfsAu0SyL2uCfsk+fQH+D1gN35fs28ZgdLKP 9ex1vP9y8jv54BnYAH8eXA8vDOqk3DM83wP7TXjd5FiSj+QbxVSwdgp7BXw9 mJz5n/Wvv4L/4GfBGvhaMET3wzOvJJ9RvvoeTEv2WTfW1mH3hU8HU/Wv2HfC T4Ov4dVBb/gUUE2xxzNH5V/Nwacw1wV+EnSGXy4fJ99hF/hK5nrBnwAzFavY rXUX4Vg5BB5PjpnK8Id55rB8A3phX419j+4K9FDcYfeBX5d8tnLYW5LPuAB7 DnbBXMw9plzSmeAnwCLsPbnYLc64KOxz+Tqfzpg5h5Q7p8BH8BnMndVdgTvg nTLz7qA569Oxz8DLgyvhZTOfTWfSu7foH5L3aBq+Y92t5qZizwrvtSh5r+nh XNaeI7DvB7fDx4KfWBuA/RF8Nmim84Jm8J3K4cw5otz4BAzHHgY6wseAcWEf 5MvdyWTG2zLv3Sl576aZ99I3JrHeIfO7OkNH7NKZtedasDd8p8VzGtMK3gDe Dr4rWSvexu6crBkXKNfBUOwmivnwmXXWz5JzfQdzXyTn/EXSmsy52xx8ztoD 0tjkHH8/7DP5SjF7GbwkGJf8zWI6W+Zcb6pvhmNWsVoWFIGfDwYna25PxULm 3NujGFfsgXeTc1S5NJQ9nkrOqb9yGiFt0NwGuAJvXXIO34A9AftYsuZWglcB W+G1wB/SF7AcvkzPs9YbvAXfDkZKa7A/TPbxkzmNlbZWxH6JMT/2xuRn+mTW JGnRO6AGds3Me9UHv7E2DKyUb8Az8PGsH1EuyafwGszdoL3Bfdgjwne3P7kW 5YHKyTXpSLhGqDbMBAeUy9L05JpUi7WB4VoozdkfjnnFunzUnPVRYd8qJtYr F5ibmqxJDeDDw7EiH+msVcPaoDOPllZiP5Rc86RNa8L/Io16LawByv0Oydr4 XLj2SCOXSuv0TLJmLZWvw7lcQrqF3TIcC3uTfdlHNSDZp9Kq5eFckGbp3/dJ w5LvYCzr1+a05VtQLXNPoF5gG7gGXjHzXdfQfYdjQrEgjW/JWuvMudQWbA1r vrReGloZngfeSI6pUvAOPFMBngfmh2twgdyceofZ4TX1EBUUb+FvS2NPhGNE saGaWJ71nmHtleYq1lQzVSsVcz+Ha3gZ+FzlhHwR5qrhLaR/oI18kVx7VbNV q1WDj4VzUrk4T/HOs5dm1qKvwC7WJobXVFPbsjYh7Evdcd1wDCr2pAnvhX1Y IleTLoG3B68na6C0SRoq7ZRGjYWf1DvJPcUPOZ/L1zNAPWlDuDdTj/dsuOcp mouBUdo/fNZDoCp233Buq6dT76GeRr2MepBCrFfP7Hv1QBvDOatclcYo93UG fVsa8HS4Z1OvViXZ14fDtVo+/zvcU6iXUE7/Ge4BVPulKdIi9QzqFaRJ/4Z7 KvVST+ufWHswHFvS3CXhmFWsKsf7wvuHteM9cAV219xZeiT3RlvC2qAeqZu0 EfRMrum62zPhb+mOlWvLwu8q56Q134R7A2nOGPigzLVAMXM8fMe62/mgSrgn US+ib6j3uzVzbKkH/C7co6g3kYao19oUPrt6rt3hPbWXNGOV8j9zb60epV3m Hl29uWJGvcTCnNaqp/gfY3d26Q== "]]}]}, {}, {}, {}, {}}, {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl1EVvVVEUgNFXBjBBE9yLOxQnUCRI0YQU10JxSNDg7loo7u6aMGDABHd3 dwgJzk9g7TD4us4+T/re6b1NzhyXPjYpkUgU8mNDjkRiM59qo+aYa7IMe7I0 e3FrPG69hW+0TZvM29lX+7XFvI/vNEgHtNBeXb5XA1UyV1ZFDTNXYUNW43BW 5QhWZyPW5EjWYG3VUmPzBw2wPsj+PMSBfMbnGqzMeI52aW68ll20Q5vNO9lP 5az7s3z8Ds7j7ng/7dF8cx1WYAZzMpeOxLnwMD+qiZaYR/GFTsQ5mY/zs0ar mXkCm3I8u8Zaqebmyq08yqtm9ltzKvMxvwoo1dyJM1mQhZRu3ULf1EYr7J2L z67vOq/t9i5wgW7EOZiv87duaqf5FleqmHVxlVBHczYfck1cM1ofZ2evr0pp nfmJ1ll35l91iOebH3C17ofm9vwVn1Gzzdc4i1f5UzOte3AGi2q5dS9e4XRO UxEtM/fkZU7lFBWO16q7Jocea6dV1pe4VD+Upix7WXyte9ptvss/cb5aa17L PiypbOvefBTXBR/H++pOXGPm2+zGJUznYl6M87RuG4/F/RBnZ14U311ntdzc iq/0Ms5Cy+y15FeNs26nNLWJ72+vLc+wFSfF354T2ZKnWY9jWCfuP6UoU1/s DeJJZvBU3Cscyk+qr8XmYxyio1pkrse3Sonrx7w3zkVlrXszmZuS/v8/+Qeu goQr "]], LineBox[CompressedData[" 1:eJwl0MkuQ1EYwPHTWxLVHU/gHQzVRRdsEBRvQCeU1pywwM7jkBLE8DjC1jwP vxOLX/7fObe3N/l65pozjVQIYZaOJIQ+eikx6UGefvMAnWRZ5Nj9grb0kw2G nDf1jVOWnM90Wbe1S7uZNhe4je8wEb/FOLvOa3qpq3qhH+zxxBffXLHu+XX8 tu5rMf43Uww737FiHmWMEXbcNfRc27SdR/MD92zxTtp9wom5rk3NaZ5B5rlx V9OiVjVDXGZFj+JSNcVr3AHPcSe88MsPhxz4TTn53/8f71AwWw== "]]}}], GraphicsComplexBox[CompressedData[" 1:eJx1mQlw1dUVxpHRQaUuKNYdFdlVVKosop5StAIKtjjutoqKFasSRXFQUcTp qMiABkWlLjRqbW2VRWVR5CjKGlwICQkJa0JIyPZcqDpUsS/vfr/byZ3Jm//w 5oT/u/fcs3zfOeeedOPYkaPbtmnTpjL7T/N3+Hxla4Z/Pn78tU2e98rjHdt+ n7HOf/loYueRTV69tPC4K5sylt9laPZp8p/uv2bkl3MydtcN1x3bvl2TVyy4 I/tk7D8XPftOr48b/dzxffJW3ZSxO3P/0ej3tD/8wCdOytjc8x4+5qO8Rs+9 XtFkXXOfRu87Zkb2abLXh5e/Nry8wW8Pv7Pi21+rO6ah3vMmHXvLP+9rtLIO B1TV/rve7+k66Y/39W+0TbmF6n3169etef26Bqtf+VDDyofqvCz83RZ/NfbE wx7Y5X9rtyoz/jf19sigNWcVXbrLx1zVed9+R9bbsNyBdvnw9mM3DuhZZ4OP Ll9Ud0Kt/zb83U7Oa9s9r22NH9qh+bPLmnKfnV4x/aey6T/V2qLcOXZ6yTcr 9u+2p8aeq83c/N6Sat/ww5Q5P0ypsSHFg44vHlTtV8xY+VLXhp3Wrdl8+Tt8 WNMfGt7csdOeWnVIpv0TO/zdsI6dWTDxrIKJO/ygzV9mn2ob+N5l2afKu4/4 6eVrK3fYMzn7V/qp+zc/O2zK6OOyT6V3DuvafvW/LFlYtd1z28+pslOXVp6y tHKbL59Qs2xCTaUFX2/zlYMPGLW5oNKe/fjhG6ddstWfCuvaUTtHddo5aovP eqH5s93W5j6b/JLBn08cv8922xoc50OeeCb7bLNhr12Qfcr9x5+bP1ttd27f Mn/u7p7ZZ6ud8N952afUT6ktXZ8/eYu9n/v5Br8t59/NNuvayuLM4hK/bvyI KWf022x9397TbneHEi8N+9hn3ScWZR/vM/mJvSOuqLCBV582duoNRb7RZk/v MbjCZub0LvIXm7f9odyuPb7Z4Ot89fNTs89G2/vN6T9/c/oXnnmx46g7rymz qty6hR7sUmqZI67/+ojrV/v8oJcdXHP+B5PKPvVbcp8N1udXzZ9P/Kobu15x Y9cNNiu33zL/V3O4rSmxqc3h0f0jrx7ZO/uUWGkuLhb5d0Nf2T30lWIryL0/ 39dtXX3bhJuKrUdW+wJ/1R9afuWDy68stpfa3fu7dvfO9iMK+3cs7F9sIQ/n Lpmo/78y/L99qd9n7sz93nZr/clhfavS/h+G/e0N6Tcu6GeXS/8pQX+7Wefr Fs5nnP+gcH7rKftUB/tYney3PtjPVsi+u4N9barsf0Gwv62Xf6YF/1hv+a9v 8J/h37XBv3aV/N8n+N8G1ow7v2bclqjXDMXTsSGejHj7NsSbXaR4vDDEow1V vLLP84rnVSGeLYl3W6F8eDrkg32sfGGf75VPwS7bLMk366V8fDzko3VRvrJP e+XzgJDPluS7DREeTAt4YCOFF+wzV3jSKeCJrRfePBvwRnFXG9c9WHjVEPDK Ejyzi4V3gwLe2WjhIe+9Irx8OOClJXhqK4W3uwLeWp7wmPfuFF5vCHhtCZ7b 2cL7VwPeG3zQJfCBjRNfzAl8YQPFJ6yT8I39KD7KC3xkO8RXTwe+soTPLOE7 ZEfW+877Ws9ZT/s5+wUeyvh30kf6Rh4T/znnWRjO6+I/E//5a7IHvLlB9hob 7OmlsqfsHXlO/Ofiv8iLH8pfs4M/fbL8KX9HnhP/ufgv8mIPxYv4z8V/tiHE W+Qt8Z+L/2xKiFffvT7Eq+I58pT4z8V/kUf7Kh/Efy7+I58iT4n/XPwXefVA 5aP4Tzi/zZaFfI48Jf5z8V/k1c7CA/Gfi//Ak8hL4j8X/0Ve3Ss8Ev+5+A88 izwjvnPxXeTVUuGh+M7PFV7OK9k2oO2FFQ6ePhjw1k8R3orvXHxn9QGvHbwW 3/lXwnN4+FThvfjOzxQfiC8cvigIfOJXi0/Edy6+g48cPhLfec/Ad/Zg4DM/ RHyWg7Hjix2+4/8vFx8W6fc3iS/Fpw6f1mj/jPj279JPfAdfO3w9Ruc7V3zO +U8T3/eWffaoHlC94NQLa2Xf/b8N9YT4zger3lgo/1CPnC3//Vr1Cv49qt+k w/pNKvL7H5j2ZM8Nm7xHLm6L/XrFw0DVP3eH+shfV32k+inqPUvx1UX1VRJ/ PkzxOUL1meq3qMdfFd/rVN8l8e+rlR+zVB+qfoz77FF+9VZ9meSf91Z+TlV9 qvo17nOI8vs81bdJ/vslwod81ceqn+M+4kMXH3qp8OcF1d/lwifWPUz49ZXq 9wTf/FLh34Wq/2fk9KzzNwcMv//3g2r9sUtH9zz46Pr4u1eFp4+qnwBv9y0c 2nfvg7v8x6blO/v0bIjrFAqfG9WfdM2do8FPmLh25jsL6vzzr8/57OtzGuM6 dwnvN6rfgQ8u+/OT589pqvde4/bLPk1+67zB2afBPzq9/I7jRjTFdfuJT+in xox5f/GjG5ukf6PDP9dsemn49G6Nfq/4aZ76M/Vvcd+E3+j/nP5P/aHTHyb8 6Qm/xm/+znv8jnVYl33YFz3QCz3Rm3Nwrm7qMzk3dsFO4tm4DnbHD/hFfWf0 I34Vz8b3iAvihLhR3xnjjLgjDnmPOCVuiWPimjgn7skD8oI8IW/II/KKPGNd 8pC8JE/JW/KYvCbP2QccABfACXADHAFXwBn2AYfAJXAK3ALHwDVwjn3AQXAR nBwk3gVXwdky9ZXsA06D2+B4WehjIs6D+/AAvABPwBvwCLwCz6AXPAQvwVPw FjwGr8Fz8B48CC/Ck/AmPAqvwrMdQ58ZeZj/h6fhbXgcXofn4X3qAOoC6gTq BuoKzkvdQR1CXUKdQt1CHUNdQ51D3VMkf1AXUScdGXg11lEnBl61e8Sz1FnU XeJVg2epy7qJZ6nbqOOo64g36j7qQOpC6kTqRupI6krinbqTOpS6lDqVupU6 lrqWfKPupQ6mLqZOpm6mjqauJt+pu6nDqcup06nbqeOp66nzqfvpA+gTwC/6 CPoK+gz6DvoQ+hL6FPCTPoa+hj6Hvoc+iL6IPgn8po+ir6LPAv/pw+jL6NPo 2+jj4Bf6PPo++kD6QvpE+Ku1vpK+M3nfkvUs2S/2ufS9ib6xT6Zvpo+mr6bP pu+mD2cd+nT69sTesc+n72cOwHvMCZgbJP6OcwbmDswheI85BXML4ou5BnMO 5h7MQZiLJPEb5yjMVZizsC5zGOYySf7EOQ5zHeY87MMciLkQ+cvciDkScyXm TOzDHIq5VIIfcY7FXIs5F/swB2MuluAXc1VjzspcjTkbczf2ZS7HnA68nR/6 mjjXY87H3I85IHjOnJC5IXNE5opRT/WZzCET/ohzS+aYzDWZcyb8FOeizEmZ mzJHhf/Ud8a5K3NY5rLMaRN+jXNd5rzMfZkDJ/wd58bMkZkrc37mzsyhk/oh zq2ZYzPXZs5NfaK+M87FmZMzN4/+Vf3DnD2pj+Kcnrk9c3zijTk/c/+kPov3 BNwbcI9AvHPPwL1DUh/GewruLbjHIN+45+DeI6lP4z0J9ybco5Dv3LNw75LU x/Gehnsb7nG414E3uffhHoh7Ie6JwDPukbhXSur/eA/FvRT3VOAp91jcayX9 R7wH416MezLwnP6GezXu2eAD7uG4l0v6p3iPB98k/Ve8B+ReMOnfLOnvIg+G 70kDFomHQx4XWJ72J6/HSp4iGf3yJXdTnxtw5wPbIvuAI5slT5OM/fIlP6O+ POTjCrtY/gHHkEsk479SySF+a31PLj++sMWKD3ATebrkWHdJDuet9pNUp3ZX PIIPyO+Al5LflRzOV+UX5vTaGPOBfA/6b4/3bOQb+Uz+kp9LhAfk2weST5b8 fiL31NwqxFu1PS88It+ek/ye5JmJvF9Ony99b06fGqsR/pE/1ZIvklyVyMuC 36R/nfB6WcyflyVvlAw+l0vOhLjReRoi3pM/QS6Qvk2K94KYP/BJ0D8jefaS n1vI/79XT2RP3o/9mdZz9qNeLWi5v89vqR95EecXsyTfITk5n/rVD7yL8kh5 EecXMyVXSE7spz52hX5Xp/cK4/xiq+ShkvHfEMlt5P9w/hryJs4j8iUvkDyz ZXxJ72Kdr5q8ifOIBZK7SCZ+Fd/SY6P0riJv4jyiQnK+5CRfZOfNOt928irO I9ok30n+xd+xzlPJPvmJHkl+R705R+fknF0SO2AX7ITdsOO7iZ0XJH7AL/gJ v+HHIYmfhyZxQFwQJ8QNcURcEWfEHXGY4HeMW+KYuCbOiXvyIOGPmDfkEXlF npF35OHeJE9b5u3sJS3zms+kAfwdnmvJe/Mj78FzY1vqGXkPnoP34Dl4D57b 3NJOkffgOXivNZ5DhufwGzwH77XGc8jwHHEDz8F7rfEcMjxH3MJr5AG8Rb7A W/AYPNUaj8Fb8Bi8BY/BU63xGLwFj8Fb8Bg81RqPwVvwGLwFj8Fb8Bi8RX7A W/BYS96K8W0Jb0Qea8lbcxPeivHcCo/F+k19W6zfYl+muDXiONHPdE8h/8X6 LfaByn/Ze5kl9tG6dfJnrN9iHyr8UT4UWuIfnaPW9gn+I25j37tQ8gzJSXzo fNU6R6zfYn/bVfJCyUl86nxV0jPWb7EfF/7rvQpL4l2/2y49Yn0X5wPinfjN 33mP37HO1mSfikSPJP+i3pxjSXLOhYkdknyPdsOOzyd2npH4IcGb6Df8WJP4 Gb8PTeKCOCFuiCPiijgj7ojDBG9j3BLHxDVxnuC3JXgf84Y8SvjCLun/yOH9 H3nHD35r3TFvrVsTee2MHZv+dOShhV7wfc01oz+Z5zed+KGV9ir0kbl57VuR f0ubu9qFk3zRoWcMO3vC2shbiyVveTH3/4Y8Ofw+4tPUsL7dqvXRv5/27xj0 s2OkX/vtHTpt77DUtkw+rWzyaav8roffvrzvcR/bUuEb9ju+eezx9XJfm5vD fGqbwrcfGv4e8e1t+eexsI4XhXWtT9jH95kw7Kk39l1t9cK/TkEP+4Xs9vmq osGzjiqMeDgqnMOWym7EQ3lxsNvCYAdb+nKwGzJ2Q14e7Brj6cCSYLdbtP4/ ZLdi7Y/dekm/4n7BbmU6TyfZjfM+Lrt1kj2wW7HsxTd/5z1+xzqsyz7six7o dU7wZ9Sbc3AuzpnaIbUTduR97Izd8cNZ2g8/4Tf8ip/xO+chLogT4oY4Iq6w C3FHHBKXxClxSxwT19iFuCcPyAvypLU8wk7kHXnI78lT8pY8jnktO5H34ID8 6CfKTpwvT3Y6ROfHTiWyD9/8nff4HeuwLvuk+PM/zlKRWg== "], {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112}], LineBox[{113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231}]}, {Hue[0.9060679774997897, 0.6, 0.6], LineBox[CompressedData[" 1:eJwNzUVCAgEAAMBF7AK7FezuTmxsxXiAD5Bv2909hzlP/DSdOgsFQZDmnAsu ueKaG265454HHnnimRdeeeOdDz754psffvkjEIXIIEwmWWSTQy555FNAIUUU EyFKCaWUUU4FlVRRTQ211FFPA400ESNOMy200kY7HXTSRTc99NJHPwMMMsQw I4wyxjgTTDLFNDPMMsc8CyRYZIllVlhljXWSbLDJFtvssMse+xyQ4pAjjjnh HyUMJ+s= "]], LineBox[CompressedData[" 1:eJwVzUVSAwEAAMHlKXyJCxA8uCZocHd3QnB3d3feRXPoqrlNcjiSUpUUBEGU VJFGOiEyyCSLbHLIJY8w+RRQSBHFlFBKGeVUUMn/JEKUamqopY56GojRSBPN tNBKG+100EkX3fTQSx/9DDDIEMOMMMoY40wwyRTTzDDLHPMsEGeRBEsss8Iq a6yzwSZbbLPDLnvsc8AhRxxzwilnnHPBJVdcc8Mtd9zzwCNPPPPCK2+888En X3zzwy9/HO1A7A== "]]}, {Hue[0.1421359549995791, 0.6, 0.6], LineBox[{455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502}]}, {Hue[0.37820393249936934`, 0.6, 0.6], LineBox[{503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562, 563, 564, 565}]}, {Hue[0.6142719099991583, 0.6, 0.6], LineBox[{566, 567, 568, 569, 570, 571, 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610}]}, {Hue[0.8503398874989481, 0.6, 0.6], LineBox[{611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662, 663, 664, 665}]}, {Hue[0.08640786499873876, 0.6, 0.6], LineBox[{666, 667, 668, 669, 670, 671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714, 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738}]}}]}, AspectRatio->1, Axes->True, Frame->True, Method->{"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange->{{-1, 1}, {-1, 1}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{3.564479985491231*^9}] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell["\:041f\:0440\:0438\:043c\:0435\:0440 4", "Subsection", CellChangeTimes->{{3.5644614777357874`*^9, 3.564461477766987*^9}, { 3.564462504779191*^9, 3.564462504794791*^9}}], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{"a", "=", RowBox[{"RegionPlot", "[", RowBox[{ RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "-", SuperscriptBox["y", "2"]}], "\[LessEqual]", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], ")"}], "2"]}], " ", "&&", " ", RowBox[{ RowBox[{ RowBox[{"-", SuperscriptBox["x", "2"]}], "+", SuperscriptBox["y", "2"]}], "<=", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], ")"}], "2"]}], "&&", RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], "\[LessEqual]", "1.2"}]}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"Axes", "\[Rule]", "True"}], ",", RowBox[{"ColorFunction", "\[Rule]", "\"\\""}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{ RowBox[{"b", "=", RowBox[{"ContourPlot", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "-", SuperscriptBox["y", "2"]}], "==", SuperscriptBox[ RowBox[{"(", RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], ")"}], "2"]}], ",", " ", RowBox[{ RowBox[{ RowBox[{"-", SuperscriptBox["x", "2"]}], "+", SuperscriptBox["y", "2"]}], "==", " ", SuperscriptBox[ RowBox[{"(", RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], ")"}], "2"]}], ",", RowBox[{ RowBox[{ SuperscriptBox["x", "2"], "+", SuperscriptBox["y", "2"]}], "\[Equal]", "1.2"}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", RowBox[{"-", "2"}], ",", "2"}], "}"}], ",", RowBox[{"Axes", "\[Rule]", "True"}]}], "]"}]}], ";"}], "\[IndentingNewLine]", RowBox[{"Show", "[", RowBox[{"a", ",", "b"}], "]"}]}], "Input", CellChangeTimes->{{3.5644618559428515`*^9, 3.5644619801346693`*^9}, { 3.5644621942138453`*^9, 3.564462302696436*^9}, {3.564462340698103*^9, 3.56446248702636*^9}, {3.564463829773627*^9, 3.564463858462077*^9}, { 3.564480056690303*^9, 3.5644801064761505`*^9}}], Cell[BoxData[ GraphicsBox[{GraphicsComplexBox[CompressedData[" 1:eJx1mnlw1dUVxzPAYEsbLJQlTRlAoBihLEaTFAZ6mYSBwhQnycBAp/YNE4q2 k47YFFRSNlmerSJFeEjFASZVOiPKUrSW5cGFBgNZwAAvCQ1LWQImQMgiVWiB VN95n8PMybz3z52z3HO/Z7n3d3/n9x7Jm5M7u0NCQkJOx4SEr8eKjwYnhWou +B91/yBQk33TD/320Ya6tIjSfYR20IdFX+mls369Ly30mY7Yg0YfulBGpbFj 50HbEXvQ2IMeKfZcPL/siH/QzIe+vbfL68HWvTqGZXTx+Ha0cbTr2pH148Xd xtXGxY7EBxr78fJi42rt2NHG3cbR+mVxPBqV1/lz0Xhd8w3RscyXRfWafbnQ Drqf6Dv0GbFzKUrXKh880MjRPym02oNGXiV8Z+0zog8NTvyIty408YNmHiP+ Q+M/+uCDLpH1VZ/6gSbu8daxo82DjZONgx3Bw3zw2jhDEw9rH78Z7TrwqUub 13hxQw+aEX1bB8QLv6hv5PiJHDt2PnlBHxp87Evs27gjt3Vk42j17L5gPyIn fjZO9rlg68Huc5tv5OCx+bXnls1vPJzIocFp421xQQej82r8yIdHDwpkNegI f1hU77zqLX3mzH+2F91wh6J4Kp3Vg49epdD+VaE9cugXZb6z644VezrCRx8+ dlgnRey0wxsPB+tau9D4BW35rAefdS0fGhzgurp/wZG2tibFz3w7kldwo2/H 1Kje4XZjDxl1PZs/cKLHiB4jOGw8GMFxXtbRedDUL/uI+oW25wB4wWnnsS56 1DXzWdf6aWn08Zu4Ydf6p/UTWw882LX47H63+w+c6CFnvvXD1o3NKzTnDjT5 s/Vln+s2PsyzfoILHMy3dQEOG5d4dYKcc5xztnDml0vCwUu6j61f1m9w2nsm 9rHL+YrdAllHz2+9L8b2LXLwoQc+9MCFX6wPbXEnRH8Hwtw7uF9D27rEP9ZF L54d+Iw8py2NPvYr/vHn3MQrV+LqQXPvZ1177mAvIva0TiyNP+SHOJMfWwfc U+w5g10bJ/UrZtfWCTR5tvVu8wCN38QBOXGwccIecnsOxIuLPcfAyaj7J5Y3 ux/j6VG33NvwC1zgxg+Lm3MAOXmxz2nixL6HZp+Rd3AyH1z2/sC9yp4b7Eu9 D8b8s/sUnODQ53TMLnEGn90XWl+xe5itF/Y5cYkXB3tOoI8c/+x5RVy0TmI4 8As/mUdciK/Nu42L2onFA5r7E3UKX+3E9KHRJ27ogxc73Jfse499z8GOvfcR F+5p0Juifm91vfZFx3Z+sT44F0Xjc9Kf/2PrvdL8B+/f8fy0cQcXdpEzDzl+ oGdxkCf07fPJnlPck/AfmvMI/xmpO9az5y8061hcek7H/LB5xh/qins2caIu 0bN1yf4dV3SqV2j9RfWP58+gbglTUua0+PEf3vxFa/IRlXNeIXdrhjaWXm/Q fE/u/v7vw8EqpQu39Eicv/9BP+6D3Dt/yU+pVjr98+295k9p0PvGH17ZuCzc +YTu7/qrDVV185oUF/z1ouc3N5cPy5q/T+U9V0y6UZr/oJ/Gvke/v+BWOfZt Hy5H7Kh924dDznrwsW/7dYMljg5/wcV6s2QdnQdNPOz7MPaIr+2/jZE8aJ43 Stwd8bfvx8jZT8zX9wipE0e+0SPf0OBDHzwZMs9Rb7a/N1zi4qg32+9DzjrY w78CiYPG84LkVeMJjb/o/7R/8+qiPhf97oXzaurW3fSFIy5EkssO+t0lmZmJ P2jyJ+5fLW9bvM29c2fVEyk1Tf5ot77N2y/+2yUdKL6/NqPJ/2l/47xwSb2O xdmp64OpVf74ir5rgt3r1S7rrDhx/ErdvGr/Uu8hvUJfXlQ95sFH79Xcqp6h R0+68Cd796eNr/Y/KSjblv+NC27gG0sOpEWq/MbHVoaCu666usVLM7LuVClu /Kjvt3VMyo69rmJa/rm6tH0eP/ALPnqZn3/RK7Ssxf3s04dq2xZv0XXBgd/E ARzgAge4sIPdA73X1baNuOLnltQsLLpx3U/74fMza7KP+dt5a1MDA1v8oF6j 1gYLjvi8hpm9QxNb/NwZUy63uUr/9O7nztRNu+E7i9whz5D5jvmd8qa+n931 X+7Nvns2BwPN/hmZ75j/sazvWJ/6pK4rtn6ckzj7qp7T6IGbemUf9/jukRmJ s0+q/m9EX/1k/1D36Rnj+wbeeXC/XiM4XQ/BrXEgLvhJXPCDuDzRYcbAQHGp 3/y7/V9sf6RCR/jsn7IhGcXJZbU+JfK348mTI3qf7yl6jnlTxb7D/i3B48CD P+zTp5LuPZZV1NiuH4x8gsi1b8Y6rPuy0A7a8vGfvBMf8k48yDN5pw4CMt8x n3gjz5B46Hs48YEm/9TNcMmf3jfIM3knbsSRuBHHTlIves8AFzgPS/2pnLoA d8c7HaYnzj6l9178QE5dUWfUa89VXZeHS5o98+13BfJIvaB/63ZUX98neO7Y vi3zOfeREyfw6L0mts9Yj/1EfPSeFDvv2Z/EBznPAfaxvp/E7JMv+z5CHLDD PiZe7Bfqw/Zz4O8VvXb9HOQ8t2wfmfW6SZzbvc+Aj7ja7yfkBfzEDXzUMfhs vwg5+xP74LXfIbAPXvs+BR7ybL+rkTfyRV61HxSTkzf7nYw8Ejfbj8cP6tP2 55GDC3vgxo/0QSX/TO5yxq2at6zf/CkRzznEecoIn33O+cM87HAucH6gxzz4 6I2Xe4Lj3vCR3Asc94RX5J7huG/w/M2W569n/QmyvvLRg49eT+E79JYI36G3 U3DoPWmD3AM89wJG+NuFdtAlgtvZexF+sS44WBcc1i4j9xFG+NxDsEcesAcf PfjogRd85IG8EA9o8kBe8NPagUaPkbhau9BJCZPulZY3+1+OylkU7hzxjzeP OdvmIv5s9boN+fW1OsLn3LJ96YQf/6+gpvKk71/x0OOBjl+dE6Nfu792+qf+ sIxuuPA9fGjLr//5lJVF4WK/IJw5MWXHYR3hZ77e+tf8+lPaj4EfED2Hfpnw 1b9p4p/Djwrxy+HfAOE77DCfET7+4RcjfPo+4CROnJPESfteMRyszwifvPQQ Pxx+QHMe562edb90aLM+H6AZ0eP+wnO/e59Ilx2Hmn2XOd37zX890s7Ovpcn D87a0+RPvzWxT6D4nDst93LPPb1e+B69u89F7Tjsosc89JjXVfQc6+M/eSEO 5G3c9HcLi8LH9F5BHWw8e21/ctkxzTt1QN6ok9rMJ/ekRY7quU4/dNjexork yZ/4AWJf5eQT+/iFn9QvdUAdUw/g5TkB3sViz4EHOXgeFjzuOxI/x/vQhxI/ Rz7Ia0DypvlhHnFmHnEm7uSZ+fiFnHWxx7rY0//fxPoE1BV1xnrEjfplX2KP utD/78Ts6boxv1gXv9hPnEP0Ydh3xDtX9qPWDXkhr+iRB+TkCTn7lnXZh+zT 25JPXYd+PPUFHz346LE+cuoAOfOpG+ZTN8xHznzk2EUPu+gRP+5f+M15xvrs E+LHPmEefSXmIWce68MnzvDRg2/76c1jo/F39lykbqlj+jDU1apVBxeH0y/7 TaF3b23PadQ+6Wu355W3+UZ9j7Hf76kfRuKCvn0Ptt+lwAuf5wF8/AJXUHA6 cNFffVPkDvkykWs/Gf/Qwz/08Mves6FPSD/FT5B+iqe/Aj2pLdrX0T6P7XNO OFgZaN1Qrf0H6ORdWSMCHS+343NfhmadeDjoC9s+qv1eWrv1W1/RXfzbgtOB mz4R9pHTr7q7O3NTMLVF65y+nv3/JH1Z1mFd5lPHvJfTT7B+Dx95LxQsqPb9 N+X5tKlXFIfiiuEEN+vTBwanXdf6kbAnSvukGX5uTeUh3+dW48ZgXoueA8jp Z5LP/06P6jv0n5a+n6MPOKRwWI9Q71P+7G/HDgjMuqb74uTyfQuL7l739Ou2 SL/O42+K+OvTJR76HlYt+g79vqLv0H9B+paOPibzqS/2D/uA70iLtr01OmtU nT4n7f9NUi+GdqWFzmqciBt+Ezdw4Re48Asc5Nl+l2C/cy48L344+rHdZb7W yU6Js6PfOqh/tI/q6asywid/fFe4MPJ7BTXZxXrOI9f6Lfvm1/Wr/xNYLfYc 9qDp37L/sEO8qCPiRd1QJ9SN/Q7Deco5y35W++znGM54uKBtX574sX6S4HPg ox64B1EPA6QeHvS7YnVG/qlT8k+dUpfUKfXAfPJM3skzedd+VkwfPeyhh5w+ OHg4R8CDHnaxg13k2MUOdrGDXb7vvSD7SeuSONvvVMQdOXEnD5wX6VfLUwMd Wxz71P7/YLTItU6geQ6y78HF/O/L+eQ4nwrf6DoskBXR753Y47ziuxT9Pr5b sY95rnK+0Aei/85z1v5fAb+4j2APP+z/F/juxb2F84M8cN7Y72QR8dNxLpeJ X+3iDM3zhPPivpwXeh/lOyF63CPRs98VkXPu2LyBj7zwfZy8gBd98Op7WCwf 9v8U5J38ERfiTh6oF/JIP5k8co8ij9hlPs9xnutTNyfeLM0v9bnlN9JTmhr9 hcsvvp3/q2t++crq0uQun+lzkXygly7ztC6Jx2SRO+TYWyD2HHZPC1/zTFzB gx3sIscO8++6nMq2tq1ud9rhSYlXtvpxMrq546J8z3cDvg+xb3kewkcPPnrg xQ/8tziheY/i/ZA4MA/cNg74hT52+T/Fe1XXn2rd0OQnJ6x+MtDxwf/tuMdy P1xyKZgUuNzkt3XatjE/5T3VmyDz9B7J/Qy9l2Se4sBf5tt1N4WOPtsabPF/ Dy1eHg7u9MOf3bE7e1GL3yB8fe4NEb5DDz56/wdGPXL4 "], {{ {RGBColor[0.798413061722744, 0.824719615472648, 0.968322270542458], EdgeForm[None], GraphicsGroupBox[{PolygonBox[CompressedData[" 1:eJxFWXW810UWnTtfpMNApeEhDU/w8YhHmHQLIhiLCGIsEoICJhggttgYiLrY CYi6YoAg2GuiYmF3BxbuOXvOfvzjcO+b7/zmO3Pj3DtfSiZMGzk1p5SOxD8F 5GrgYaAtcBowAegNfAjsDewJDAaaA42BTcBrQHugE1ADqAx0iZTKgd+g14Xc CajutXf3nBOBQ4A9gIZ4vhtkE6AF9JqQVbgP6G2AkdDfAa4HlgDrgRFAS2A3 PN8KeRewPfT9k9b6JzDEax4NDAQaAdcCffhOYBgwAGgKDAL6+lwP0SZAf2BX rLkLUAK9Aujuc34AHA70Ak72s3Lvj/vcEXgfWArsAKy03gW4DlicZPPpwJXA gd7bTXwncB5wLs8EHAFcDOwHXAYsAurZN0v8rlbYY2fIWrQx9CbAVdAfAa4B 6vD8GBtj+1wNdPP4u8BhPhvtOBZgXMwBDvI++3h/3FtHrNM0dIZrvFYdr0e9 GnCPz8nf3uezlNtmtEFNv5O/YWycABxjH0wG+tl384Gj7Kc13gf9+BnwqX30 hJ83A14Gjk2K04qQ3xt7rSH29SSvs6vfOdhzvvW7hwJXANOAA4C1fvdwr83Y Yw7car0VcDYwJSn+SvHeDqF9TfF6tPksYDTQGvjJvqffG2BufWCU9zjM+2T+ 9bJPeY5B3udov4frlCXlCu35A/Cq93wOsBfQFdg5lIelSX5jXjLvGCMdk3Ky eyiWGFPdQvHUwrnLfGXMn56US7RdSYgn+Iw5yhzmnhcAU22Xb3wWnql9KJdo w+qQ/+a5gTOTcpX+/tJn5FmX2acNbL8mtuEnSfnAXGBeNrYvyAmjrD+alC/0 76qkfGFcbUzKtdZ+zxke53rzPH88cGpSPC90DNC/D3qv/RwDC3zGG4BTkmKa sXOW5/Dc832GiUl8StsuT+IL5sLewNyk/B1hu7Wyzw+3T7nuOOvk2H/YFwXO PiMphypBn+nfdPMZ6jhGpthutTHnO//d3b9j3k2yX/s4JsjJhd9zkvfJuTO8 9uMghseAN6A/DflUFn/cALkReAH6C5DPZ3Hk2XjvqqwasRf0B7NqxgLoD0Of TV8xHrJicQ3kWuBN6E9Crs/i/kOTagb3eAXmb8iK7R6Oq0Y+/0zbjH6ebl9z 3eOS4pxccrzj6uYk3unrc8/x2Uvxz2uhuOAas7wOeZH7JTe+g38GAf+C/qf3 xj2WWTIntyWdg/6rEaor5CvG3Sq/9+4kruR7WXMe8t4ud8wxlsid9ybVgg3A bY4T5tAyzz/IaxWOq/uT6jXjijzV0rZZaftwzeX2L2P8Cq/5s3VyyAPeR33g Fuvcz9KkuOc6A7yHZh5fkVTvqoT2sKPtfnASVzCm7vN7z/K6XHOR/dHX57vV ++Ez8gPzn/lDTqzleeRu5j/5mznJ3CdXTPb8mqF38G9yJjmaOVEZ49uF1mL+ TfQ+eZajbE/yB/1PTpiXlCfUj7efOOd24I6k2PjV9m/vd9ye/o4Z1tR2HuOz NsBTHmcs5RBfM56Zh+RYxjP5YKHtQC7nHOY16/ud/u1z+OfqUK+xQ6gHGuMz 9fa5WI/WJfVRjIf1thXjkvHJmH0LeDupRtDPj9vv7Ece9dnpo8eSeo9fkvrF tt7XI94b19mc1APwLKyb7LW6eZyc86T3wJhc5/09Yd/SL+Q/9lCMIe7/GeBZ 25D23mjbMk432D6M/022/522b/Z7+D7WBsbg60k8yufsHe/yHvj+Zo4B6qxl EfxHfVVP67WT+I78S14kH7GeMt9/TKrrrOnk+C1JfSF995H9+3FSDWP9Yv5+ npQ/XJ81+K+kWrnGMcD9bfXZybnkGvJL55CtS23jtbZzrZA+3O9+L4nvycWs E+RI1qtt9v/v3n+lpL6df3fw+B/WeX7ui3n3UtJ9gNzS0j0Cz85+oLl7AuZO tdAZyWes98wX5h/rEGsQuaFqaB32XczVyfZVHfdCO4ZimvHMvGFsM3fahd63 k/uORr4/bO/5bRxnfF7Dvmd/xZhnH8R+aLuk2lHh/r6+JefUc01hz09Zz31L mfuo6l6vgecwVrgPcs7/1yrxPuv6XazftBVtOMZ75Z4be/8tkuxX4vkca+yz sx+jravaV+zh6C/29+zhyK8drTPmyz2/im1Q4h5usX/LmG3tHq+q39XQe1jj +ON52dexjyVvULZxj8f12nmf7Gsqm0sbeg7X4dqtnTsca+tx2rO963UL76GW /dLOPn3C7+O7yLXs9Vk3yYtfJPWHrFnsd1mnLmMcZXHGSsj5oXwZimJ4Ff5+ Gvp0yD7AjbQ5xt8Jcf1JGBvsOk478o4alqutb+J+C8U0e5mFIZ5p63m07QqM rwzl/v6Yey/+fiUpR5mrm51TzLHfHEscL7W/ON7BOVVu/Tc/ox8/pv0K5cZ+ kJ+HepPleM/ykB3eh7zbvqM9y7w+e7fxSRx8ivO+i/dV5r2RX1mraDfWMfIp z8i+6WDbhrzD2OF+Zjvmsp93sh2eS+odOzneOJ89SVfHJM9FLmSf2NUxvLvt /Eb6u4di3pK3mGubvfdqXrvcz8d5LnNrSxLXkfPIVax9jCsuzL87+3cV/i2f 9fJv2e+To1m/mB8dnV/cYyfozyfdq/YI+fQpyEWO7aNhgEbA+dAr4aDrQ71k B+jPhuz+KjmnEN/NwNzdgIswvifGbgz1a7dgrHshPnwF+n6O1dvwfGBWHe6N 59eH9vpwyLCsDYfg+aFZdY/cyj6ffRDr2vdJ+cte6aukXon91NdJ9zLmWalz nL9nb0GfDMDa9ziGD4I8MKt/GYznIwrVgQugnxnKgxI8b2g7HAvZFLgQ+puQ N4dqAX3R0/5g3ncz/5ATeph/h2Dtxc7ZHpBlWfvp7t/WdjyUmYcZU129Tkuv 2cJrkdvZHy7x72s7NqgzPsgjFeaiffGeJsAF0E+DbAtcCn04ZBvgkqQ7ykWh uGf9ot/Yn1yKsXVZ/dNa6EWh2lnhc3H9//G0+bkdnq8O5RvvMZeHcmFJKA4Y A90hu2V9c3kfcgTPRN9CzgvdW76BPBHP9oF+Voj7mL9/QZ+YdV+4Cvpk6D2g byPXFrLDB+TaLE6+jGfNqr2nYfztrB5vAvTts2rZ19CnQe8JvSPWGBPi5qbQ vw31xYsh9/G7fifPhfqga8m1/m055h8Z6sfLoH8S6nPvgfw1K17vh/5jqPZ9 yfgqxKsXsjaY036B3Gi/nwe5wdwSvJeF7iB/Qv4R4rzvIT90nFfGeueG7ns/ Qa5xvnfG+KRQbTkW8uAsXpqOf84P1bsZkJeEuOgvPH8o1Atvg/5A6P5UD+ts wt91uX/IL7K+bXwL+V1W7v0J+XtWz/g4OaAQ594Q4gXGVj/I/oU46DPzPjn/ PtqyECf1KFQDyP9LQxxBfvgZYz9l9VaXQC7K4oNfILdmcURg7qOhuwvjYnxW bFSDXqNQvtaEfDrUC5+J53eE+tbqheKJ83+mbQrdgWtDPhO605ADdi3EAy8z 3grdS66DXrfQ3WtdiDfJmazP9Qvx3i6QL+LvnaD/wLjI+p40OpQPzIU7yHlZ vUENyJpZ971mkFPNP60hj3f+TsmKUcbnztAnh3rF/lnxzficlJUznNM469s4 OWEmewSM7wv9ZOhVsu5Hp0O+Gborz4W+zHPaQZ9nDmkOOcucXxdyYujuc0JW DjN/74X8KNSrNuDaWd+A+2blD/fWE/o5oe+qrA/9XCNKITtkfRvuCtkl67ts OWTvrG+yvSD3ddzWhj42dF9gfh8WynHy9wBzeFVyfuiM1aFXy/r+VQfy8NBd ifxxVIhDrszqt8jb7KfmZPVU5NFTbIfd8XxU6C59Ht+TdZ+cjbGvQt8nngzl NvOaOfFYKC+OyPIHfdGwkF/p0//g+TFZ3x0uoM+z7q4Pkj+y7ouVILfL+u4y jHwA7JwUjy+FYnLvUJ4zx2djbmVz4HMYm5D1/eUm6MeZb/ntZ6jPOCTrGcc/ hv5J1r1uBOMxy1YjmaNZ3zVGQR7tGDgsi4PIP6Ohrwp9/2CsnZoVS4ypYdan hX7D+eSnCnNUZ8hxWT3XVuZ06FtLb/620B26fVZc0hdTQ7WW/hrIuSG+mkPu LHQPvxZzZ4Z6uuEYOxX6i9C/Yr5k9RN3Q54e+u5+M+2RNWcoxl5y/tLet2XZ fDXkI1n38BMw/kxW39YX658c6rWWYuz6LP2tUL1hrTkiVDNYL9pAfhG6I7Yq lM/M5YpCPQr7k9dDMcd4Yw1hj8468hn9k3WXGBn63sdvPXuGajPrcp9QDzce +v1ZdqQN2SOc4zhclmUXnpf2eznLhpsh38i667/Ks5qvyGc32iYca1BonHYa EBq/PcRr5LR3IbfYbpQHOG73J1dk/f/HLaEei/1VS+ZFoTsw689w+/Qi6Bdn fRfoFaptjBn2rQud7/05kNUzzIdckHX/YfzWcQyTP2aYQ8gfc80h40KcQp1x TY5jbJNfx9ovfaHPCtXlFaE+gD3AGaH7EvvMZpDvhb6Vvh26p/GONhByUKH+ uznkltB3jlpYu0mh7+yfhuo3a/d/AabB2eA= "]], PolygonBox[CompressedData[" 1:eJwtmHkc10MexmfmS5dE0WmPTnJtuRK1HRYdknRK1iYlWmSlg1CkSKlE5e5A lFSOVlGKTTq2RLFyVCilNtJBlOP9vJ754/l9n8/MfOc785nPNb8aPfq2vzGF ECrFEA7jeWwRwjr41fAhYBCdA0EV+DPgOvpaMeY0nh8it6XvEjAefh4YTHsb 8DV8jdoY+xVybfiJPNshP8v495E/AMNpm4e8Cn4SqAJ/j7aX4feDysirkedm +VLkdqA6/FnQHX4VeApeDsyFv5S8tvWgM3w+778AnwmeRj6bNVSnbS1yR+QO oA78eVAW/iJ9z8HvAQ0Ze07htTYBt9J/W7IumoPD4RsY/2/43aAFYy8ovPf6 tN9B/53goayfybTdCrbCmwavpRXyscFrugQ0yOtTWx3enQWfDn8Q/ARfA16C 3waupr8neAB+NPiIvufBUHhPcCH8wsJreQ+5B2N/ix4rnTanbwXyGfATdO7g YcYsC9bJDvh20Aq+E1wBf50xK+Czgvd+fPLapIM34ONoqwcfCPrB/wb+Dl8N 3hRnzGztBXSBTwTLg89oefSatJZS0i98KbybdA/+pX5wuTj4D/xkxlTkeSpy beb6H7w0GIe8imcl2kbCE/wtkBh/MNje60l3YAl8AtgKn8mYFvDtwXv/vxCs g1voOx90h98crIumzFcr6+R0xnZL1s0j4DJ412Tbqxu890WMnROsg3XI68G0 4PMeB7+S/uPgb4Or4ONpWxps83/gW89Jp8F7/BSUoX8Y8nzwHXwv+A7eRmdC f/tk254B7oU3AI/DF4Ex8FKgarAO6sMngHfhE+UT8LVgS/bXxnz/AeY8EV6T 53z67tUZyPbAYvgCnQG8K7iI8cvyWTbg+Tl9G7P/KKY0h5+X7fdc8A78YcZN hm+Uj2ityFPhU0BreA3aRsPLAwWvG5LfHQNq8L0jkn23bF7La8lr05oegTeN llfqPOBH0jYc3hZU5v1K4Jg83wD6+if7+lj5E/wC0Cj4zNrx/ubkWFIp2DYX In8cbKND4UOSfV8xoLN0leOBdH4l/Hy+V4/2R5FPk63BO8MnBff1zbFZY26n f3A+L80xm7aajDlSsQO5Fn1t4RXzeusid4pem2J0VcZWKWxrWv850l2yrTIs DOGnIfITwTa4SPoH9YP39Fd4Y1Aa/pj8Ad4v70/z38H7l0b7jmJ8Sfru0hnk /Xagr1AbvJd8GH5z8lql477wm7I/SMeKhR9l/SomXgxvk89DNnQ2fAbtTwev eQK8XGFfbyAfov9NcDr8E8UL6V52CP8MXIcck23pFdCFvi3I38CvAbuQ3wev wvuBZlpL9FjZY2/ka7M9ar1L4WNyLNI3/ol8fbItyUany2eT86N8uDVrbVk4 VymnrqLvSdAQeXPwWr5K1qfWpNz6GfK24DnuQ46FY6l8sAR9p8qHsn9dLttJ zk2ttSfkCvJZeCfwM/J/kb+AD9Z8su9ofWhPI5Fb5HwhH9XY/tFr0zvblIvA ffJFUIq1vJWs619Bd82FPAJ+PWip+bL/aP5r4L2y/2r+d6NjhmLFKcjV4McV ti3ZcNXkGkG1wCjZoPxfewiuIQ4g7wMXw78XkmOiYuG3oBtjdyHv0tlrP8iT lKeDY/oV8N3JY/uAmZorOh7IBu+K3pP2sg6UTn5HYxWDJyNPTc61qgH+QV99 +ZziVrAtf5i8F813An3HF84N5eWA9FVL3pt03pW2b5Jz77Xg0eQ9a6+KX9Po fzK6VmsWbCvTk31PNrODvr1gAPym4Fi1KTk+6PsL6RsRnasvA09p7bI5eGOw j766rK8Czy7Bvqs1aS3yYdUaH0f78lBwULYWbc/7wAfKt7TdGVxTfgt/EVwU fAa1mXsuYzrAj8q1woHo2kY1w0Pyleg+1STDeP5G24/BOWgWvLpifs7Zqq1U 80j/qrE2wYcx5nV4GfihaBuVbd4un4P3yGdTjecRyGUK15Ihr70CconoPZQv rCPp5nDa3gElaBsUXKMspq8k8i/wDcFn/2WOzbKBPjp/rQHMo20jzz8z5hZ4 7+BvDYqeW99cw/ijaTss+kxWIB+FXCBvQm6CvB5eMufMEVpbdCxfqPNi7Kjs S4eCa8nvQf/gmlJzD4yObfrGIcW+aFvZH+y7PaN9Wz68LbkGV+29Q2ce7VPy Jc35Avzr5D7p/E/M/3n03pRj9yfnaOXm3ch3J5+RzmZBcG32dvRaVaOptmsm fQTXeKoVlSOVG1Uzjo2uCVULquaUblSjqTaTjgaA1Yz/MjimLYdPzLlBNrIB eUqyryqeKtYrxk8Jjvm6WyxLrkV0x1At8ku07UwFZ9F3ZnIuVE01PjrHKLco R57FeuZl3/ljdO1eOccv1fCqnUeBxcE1tGrDRsoBwTWifGV2cqyRzyi2/ZCs O8W4VppLOS44Bz4In8Mce4Jrxle13mRfVE2hXLgk2TaVE9dnm5QtyoZUK6tG VG2omlm5/4nk2l01QJ9sI/uzf7dlf5OSY5Fi0mPRNZv0J51rbarJVYtrjRXl P9F3qVI5l7WPvqsop+1JrslUi6mGVe05NTq2qQZ9Gf6rdADvCFYily7sqxGM jq5Ra2abUWyfEn3XUozvBf+Z9/fC+4KWyNVzflaMn5O8R+1NMeyU5DuYzkY5 VbXkjdH7VQ2pu6LuELo76M7YEblmcj2jGKvcuD36W8qRf0mu2VWr6x3F5lei c7Fi9AL48GTfVYzbiVyncG5QDNbd+GB0rtYd+ZPoOTWXaizFnh+i70qKQZuj fUy+pRi5JfpOrrt4e9kLz7KFdac74LTkO/LarI9a9P2YnEvLMeYn+J78rmzs fviS6FpfMXCk5kmuZWXDqjU0h95VzaHaZmVy7FKN8wXtY5PvOqphlcubROci 5fSdyTWMahfdwXbLZqJrM8XMwNz3RP93cAA0Qj63sG3oPwCdtf6zENeZ627T KfkupDvO1ugcUC3noNei70C6+8jGdLd7I3pu3fGeSb4T6S6kHDsjuUZYm8+7 d7TPy9f1n8do5b7oWkw+/jvYtyuJ "]]}]}, {}, {}, {}, {}}, {GrayLevel[0], Opacity[0.4], LineBox[CompressedData[" 1:eJwl00lsjWEYhuG/pyuzhFpZIDU0NorSidLYSIO2phpLLQiiYi+Sas1TqWGl LGi0Yqi2ipCYqtgSUQtzLVg1RESU643Fnft53vc7X/qf83dsVXX5trQkSXqQ n0qSqViF1bhtUZSeJHfiANdym3kdt/MsXmh+Wl7AZ7jIrJP3cgfv4zS7e7xG v8sFvJ+n8VrMs6/WK+UffB8psweczgf5CUrkLv6JbszVn3I9BsvPeAAPwkD0 60N4nXvXowuP0WA+m1/wZn7JGc6d5SY9V85DiV7KF8wW8U69DJ/1Zm7hyxhj 906vkd/ybm7hXv6CMpSiFsPib7E7zvW4Kv/iPv6EYnd95BFmGzlHb+fvmCR/ 5fE8EROQ4dwWswpegWXo1JfzKWTjm57l7A25Tf7Dv1ETz2N+Tb6OAjkfrXKr XT/f5Cl8EkvRoZfzEizGJn0kb+AGPoFeOTPuje8K2XIVD7erjPv0D3wF4+T3 fNTuWLwP8lCu4F3IlWfikjyfDyATr/TRPtvEPfpFfsOvcQ6NOI/u+B7i/Yln iLt95jmPincUM5CD6fE+oxDF9jviN8LDeCZ+xEeiY7I75vB2HEKhfjh+d/x1 7hbX8Z64T96KlXJe6v//2D+JCG40 "], VertexColors->None], LineBox[CompressedData[" 1:eJwV0E1KQlEAhuGjmbWCnCThtA00K0MMgka6A38q6I8QGrQAESc1rGyUi5DK UqOGBqJriYKknjN4eO/5vHj15ipnpdNECKHM3kIIt8kQ7jgxbrJu62uTZ/u1 PumVnrNN3/mFDvc0bAW++eGTjH2sFf3TqtbIsk+dG/uRHrNGxrNXmLh+oMuG 8677Lpk6zyiwQzE+336gh6zSirvtgnH8b7oVf6vO+WXZd45sb7wyZMCS/cvn i/quKf3QtLZ1SN71QB/d3yO+zPge/wGi6Syi "], VertexColors->None], LineBox[CompressedData[" 1:eJwl0L9KglEYwOGT5tyaDaEETdkdNBiZIuZgU43uGYkOorRL7dIQBi3VnfgH Aocw0ObUriCXno+Gh9953/PxDSddva7UNkIIZR5jIQwZsBUPoeHihAPnsfZ4 4sjc1xanEXOeHG1ziZl/VDRj96EvTDk0n2vc/YUudMk3P6y4tN/UBJ/O+3rH PbfmuX5R5IwSz/Y3WmePsrnDq/Nb9J3zRAua0hpXPJizeswuXfLRg+gOSbZ5 t1vzy9jc1FHs/83+AMq2J4E= "], VertexColors->None], LineBox[CompressedData[" 1:eJwl0L1KQmEAx+H32CAFQVlDJRVO4VKbozgIhYtwFpda2lpSSDCwgi4kIYnw atKKPihzsbUyu4EecXj4/d9zXvAjc1iNj6MQQsy9UUiE0NMjjSjZGU2zxy7f nlW1RpHVmRBWeLHL3uXsZ/uJV9ac02zZdU64ce9cL8hyRpMkl7x5v63vOqez 7Nsj/eWHP8YceD6vGz7jw17XgW7qSPvs2BX9dG/I7eQ70Jn8Xq69y7vT1iuW 7Udd0gdNuJOyT+1FbTl3uWPBueH5VzT9D/8BCKcqFA== "], VertexColors->None], LineBox[CompressedData[" 1:eJwl0L1KQnEcx+H/MYggl7oDFUEyCbI7aLECE6mWlggVasjJl1qyC8i7aOuF 8ILSll7AJCqLaPAJh4fP+X3PGcTEYb18EoUQivRjITwwYMeY1CYNRu5TPWOL Ni1mybFMmmvfvdNhn6HtjRtuubAdsOC5oqszITzpPc/k3VX99f5IN9ybFLiz Hdv+9EXXba/6QY81d00XvU95/tYfPhnzRcI+r/H/3+TbFb2kyxx7tqwu0eGc K1tRt8mw637UUjT9zybgFinb "], VertexColors->None]}}, VertexColors->CompressedData[" 1:eJzFW/k31G//pk07qUiotEgqlLTQpysqJJUWtKjQQpJEEZ9WW5LSoqJNi4hS iuxrlmzJbjDGzNiZSilr9J1/4PWc8/4ez3nO6Zeuc7ne9/ba7vs1CpYnth8e JiIism24iIjwn4hcXGz/ts2JuLxh9HgzqxSMqvYWUzvExlDhNvfK080iPuCE ubuH1t1i/Fh63sNYhztk+JGMHa/3OsWi9ubWt0c/VMHvylTFHyK8/xkumx5c Ih2diJz4TLGDD7gw/BXgmntq6PCGYtbaUQEZkNzA+mjtWA+TlCun6qVpfJRH Hrt5XgGkXuw6N6a+EewIKa6iDZfEXRJv72ell6KsasOKDW3NSPS84Dq/kjNk uIwmTzX5ew06jtQorj3XCnX2snPfzrP/Z3hG8arhxy/wMVxi1a/XrW1oM0wZ PDOhesjwkws2u/eWtED//KNOub52bOyUF8v7VjlkeEZo9n7Tc3EoPul5WVIt F7+CdLyPn+LgVM7LAEP5FBRsGSepWBuMaVO+eP3cUU3ilI6tyP6k444xMLOd c8I1ohxyVTLfJ4RySf5Q6VB8Cj/gtfHhRpc4HIj99/uu5FoM05y0r2wPj8RX Bk6dOiY+DXYXtjQeFuNj2+6bzia6NH+o9Ifqu0z1KTzl/FnFI21FOIWte0Kb mpBgb/IoobyOMd6eMvFvh1MlBLMn9/pltaDgmovKQFwtY/y/rR9cvTty/TIu usKf7+xY1oZA5Y78uvU1/3X+/XPr1qmHNUJRr72z4WQ7ps/65qYwyCJxpjqG 5SYZqX/aYfNha+dONwGcszdfdairGDL+UMV9yt6HKr5T9kLFU6Z2R+lQ55aK g0z51Hmj4hpTPtO4Rp0TpvHr3swtEnumxsJURjdnvUoh2tyC9H3P1oFttd4/ rS8OCnk3/YzS67Ba0q8n6zKPxGXlvXVmmpQg2DdP38m6GZr9beNOmtTh4h9n adOoKnxb3y1urdAKEY3K8t+ytfDYoX9Qak0zYiwzO0Vi2vF+zKis004sfFNF xM7GeGzOy9TlLsnEQFLjpy22tSROjZ8fvCW4pDsWQcGHt1rE1yDX4nY6fzE9 foqf1Ws1OOV2Ch48vOJ0aBsPhYpTe/320ToUn1qf7ZdeNPlolqNVRJUfe7QF 95tkL48w4TDGqXWm+JGha+YYTWmA/0LJXzmL2+G2vGLtZ88qEqf2i+n6UPZL 6VD4NY3u8MtKH7HWcvJOq2Q+yq5O6JJTFfqBNN6UPQOF2PCz9BjrUBPkOs2l 3ZS5jNd/qHQo/MDfbc/ZVm2oCnTqXLlGAC5bY+MMq0oSZ+r/Kf9J7Qvlr/TX qhls/ZAE1y4vn26baEh0L9SbZFbDWJ/CKR1qf6n1pPZlqPIWyn9S+8WUT63z UOFM15+p/TL1h9Q+UvGX6b5TfCr/oeILNV+mdTc1HiofeO9soD9nEQed3qn/ TKtqxWH3W3ObeTWM+VSeQPlzpn6JOm9M619Kp5W3K7rhVwzkLqwSd3hXCZN3 93z+lnJxbexD2+HO2Ygda/nkWF0D9s5xO2nfyiXvYSg+Ux17l+tJztt56C64 fCznRhvyizc7skKryXyewpmuQ8eMg5ldPz7g4e4JX9zCSlEv8nCHnCuXxKl1 o/J2is+03mfq/4cKp+IFhVP3b1TcZ8qn4gjTPIGy66HSoc4zVf9SfoA650z5 lB8eqvs0pvXFUNXFTO2LaV49VDjT/JyKv1QcpPhUXKPOIVUXU3GNaRykcKb3 opR/puZF4ZSdUutA1XFM15PSYWpHq+wSKjzEstA4/9ESmwUNqOoY2RkmtAvK vqi6fp+H7Y/NR5MheOR726fqDe54DjSJsqrJ9af0h2q/qH2hdCg/zBRnWg9S 60/5Z8pfUTi1X5QfpvjUulH3M0zzYco/U+um7l0eZTM9FXmcD9/5+lfhkXmt efX9Ksb8//a76lC9Y0YYDlest0nBMparpb0eD+PMlGeU72f+7slUh8qv/j6N WmoRkoFvvxcWe7jWY2uAq0a/1NDxKfwY55x/1/QinPhqaBL0sAkc9uyNC8Tp 99mDtv3bt+sUYLpT2C3Zlkbc8Id9uBWXxCkd6rvUOTfZ4B0h2FqGvuF24/vk WlBx9V2y3QsOxBzzLGf6l8Fh9rwqI40WFB4+/vPGNbrepPiUvrd0Wsizb2xI DY63UAxpReiNpBWiq5jfY1M6a66m1Zx534DdfcMaDuq3I/1aqHKhURV5rxKZ OXj6s3wDVulMemih2o7+LEvNIDfmfOq7uyw4SX9WtiL+3W1R3XECBPdmaj8o qATLQaJ+YVMrRoi791spCTBx2VjD27donNIRjNx4rdcrEeV+Bp3fPyfhdW/8 9HrhOsweZ/ry4mAiAp4Y+M8+Fw+j2TUNavwaWBpfuqpxOwnLnPLFZ+37AL+M BjWp0zXoWxnj0zMhCZqSCToG4vG4MffercqKGmjqB1UaRMQgO3dgS2rQF3ia aS5qzKmDUXNJd6lUDBrmiyn9rS7Cu3tGw1/IcqF/5+HjIItYsEe/HvXJUhjv LVROpfRykaPydhlvZix2lZrrZZixoOC6MqOdz8VFv5KQDHYCdo7b9lDiiPD/ N3123PuXB+w5GjM3Nx4bln+SLFLgwm9QtsHQg4dPVW8KznXGY9fE1lDDRVyc CWnc0eXGA//XI5Vf2xPweZavacc6LsT0S2V/XuDh1M2kzQfUEyD+Kldvxmou 2D8O+v+4yENH9uTOefUfYbdvx8QymXq4PtL/uG0OD+VH2z+xbmQg2PZNYvWJ euzZNsnfdBoPBa7uy/ffzkW35y9rr+ONeLUk1zDzORcV4u+fvpcugP/qSIeL 3Ea4aQ6bdvgYFxn+7M3WiTkY3z6/749uI+TmHVgZFsOFRLDGc1Z9CXqkV4SP fdCMpWaXFFhz6zC3pcjXJrkayUYP3GQMWxGX/PxYdwkbbmGKs+PY1QjMq9kx c1ur0K7zRljksSF/7YAEu5oHFU/7I9eS2uDqKNE5bF81uiOf9ebiK8Ii1Axe xwlwb8+YLHXHCny8lV+4YEs8nkT+Nn9skA2DlNfvVtTUwlgJITUPUmCa3fN5 /9sH2GyrEivdXYWlVseX7mCl4GTjb938Xn+olnB8E/KqMPjXUXFCSDzSQxXl /CSzUC8Ro5p0v5bkU/oDgSxZpR3JuDE85cz4sZG4unpHvnZLNalPjT9n2e9h vU9j0VrZp9irWQAdzX83mE+l84fHPR6rdirFwPVxtsFitzKo7rbK6fflIvfn XJE8+VhY30m/v1WiEAHG8jf2OjHX+TO26V306lh4JI+0efGFBd0Llde/Cui8 8VzIaOU/6XGwlnuiNbmOg8VzFUZPEsZZHf1D/hUr0vBWb9+ho5948Hsr8/bi Fh7sv3SyfjunY31u9fNfh/m4Xqd3b4MmDykGMhf0pqTCdeWwWMuTPET2G9W6 7hbiHUllJ86k4Xp9ebBVs/DvPYxvHzPg4b22nfGz3jQYyn6ad2g+H0tVPu/V 1uHhh36r6t4LcdBO++PjXV6LebP2Rn43o+97KX1qPNS8LNbf0A3ySUdujmvM 0hN8zFSJfiW9iu5/YMpvdrz+0Cm8CPW3DvaVf2mC+c6mq9MFdSTuf8Um0li5 GKMEmglnBpogeS37zZ7UOjidbuuzW1yEPWpHWcufN8Hy2Y+2r+OE+Zj/Ls0N NsUICFCcbjClGTZhy9P6XtZBV/J+nKpUCSZzOS3B25rB57j2FdnW4W5IVbiX RgVKvVdaDtxswYLY8xOVJ3FIfYrP9D0iw/yb4cZqLiJF2hevsGnDlMGRY3Jb 6Xub95tMhk/yb8Lz2LIlVoHC+vfv+oN2b1locwl1ausS5hkr88VGh7fjWbnV 7y3XWbjoHfBQ+qoAsmN08nXvC/2Pio9y2lu6P8FuV+9HmS8CJF/UuhD7QoDS pcHbugJovvIMOc3DMu1Q9T2sKWUmjI9ValpPF9L3QhTf6eW18KSmeLwY4zGF vygT083nhekeq0XxvsuFi0RToOSul33HNgRlxhVf/a3p+6KQ2e5T4hMS8Pcu /8+S1ek4FbH/WsoXNmMdqi6g9Ck+Na/B55kOl/M/YGyB1yZjiVK8D3YIzLRl 7veY+luqTqHGQ/nJitFr5sgcSUKcdYC58ycuvEdrXVtwgoeQAS1Dw7XJmMh2 /XxhgAuv5k+u662Z+7FPix/X1z5LhLPcor8z7nEhP+5Z6c7TdB3ElE+Nk+JT 86X6T2a251xJP1qK2QPuMuV5zVDzjd3U/5uD6WdO38keKMFKy9jwTcHNkHSs n50lWwcV0dUf9ueV4lkyW8LoazP6RKTTF5bR71AUn2k/DDUeik/Ni/JXd6ap NNiF8jDp8o5b41+3wS5oYL2mC11HUHzK/5jtstZ9hWaUaGWKb4hpx30FfZlv p+l7wp1L3EdOUxHWRTsjfM057Tgaox47RpHut6H41Hcpv+dn49A0GJSIO6bJ A9Z3uWi7PmeC7Wk67lPxjopf94Pic+95VaL6QBRPMqcFB+Qn9L+LpuMLFS+o +ELVNVTdQdUpSZtdyv2iY8FdpBm2LaIajiL5WleEdb1G+KW9qafjwJaTVf7n bS2m5RalB+6m6whqPZnqU/URVdfYv7zPencqGasOP7FyGcvDLB3Dpw+P0DhV T3Fn5wdaLSqDfe+cSkOJFmwd2yhgv+PAz2jC1vv2ZWiRrnn+XKkFeg1PFP4G clA4fpddXn4pOlbm1xUL7d3jjqfz61IO+CU/ZFhBZYh8sDPzwqoWbHh7rtTp Coesayg+0+9SdRB1Dqn59k7Ju3J0ExuHOjw//r7air6aYUY5h9kkztIe+Fc3 qB4Pj8qzp01vxx/DxMYREVU4sfrBtXFdfEi9Wqz0dKANu7fIvolvpHFKJ+r7 8friya14v+7eiZEjBXj/KcpTvKqSxJfZjXm1kZ0ItfOlsqYvuBBPdTf2cORh hPMS0ULXONzr3VtxKKMWV6Pql+zdy4ODs0KN66tEzDp2Zrh2IBfRF+Tni/+H OHXjbkaIbUMSovAsKLWJi+UWPeELj/Hgyno87MGtVDiJj+8Kv8HD/p0T+88a 8zBZdknf9dvJSFsg1i0vKazbe2W7nx2mcUrnxq7jmZETP2Kzz0bNB5F86BYp iaaq8eAreenmfp2PUNesPa6ex4e53s821//QXzfiYKncRbUveP8ooKfneBP6 F66/NFpRaE8zOsYvyysES1e8LnZvE9YknIvoV+GiaNo4/IooxUNZraaF9c1Q OuJ4UZ7DgZp7VoGWfSW8nArtz2a2oPKU+/qyhFrs4DRfkc0uRcKmScF57c0w W5f/KKycQ+pT4xk/Oaf5VWUxCt/wTI21mjHF1CXonVsdlOfrP7pVVgJXm6hV 9+40wyLI7Iyach0QOTFZ+WkpGrNYQQ84zTBYfEPqHp+D0UWtGnJmldhxUoSl nd6C7gVPvXan0e/F1Pip+QbevGv6oKkdLeXbjj04L8A758jvtU0VJN6ROCvF bjAJ9u9Xzoo6+B5d02RGH1OsIXEqH6Pq4j1fl8o5HE1EaoIHv8mbC2XTtG3z nOk+NOs4J1M74yrsqdR4aCLZipuVFmPjNWrJ+64OF6NEuArHuThbzHxiDAyX JW4/crkGQT6RnKSeZPBv7T5r0xACRfddIVl21Zg0aoxpcGIsWiz61a/kVkOX v8lhcJrQ334eUJKYECe037DvYhPZ0BGTOqyjQY+fqf1Sde6GY9URf+XTkHzi tsGjBB6G/VqWMNuIuX1R+p6Tuw69/poOQZWxjPYTPpJC8xeWL/1/jKfVdmFu UyleHTivdaq7GQUPEkQ18ziM7YLKP68f3raG5V6MkevbQ2zkhXYtO3Bb7AnN P+tSe6Dm5Bc8ezfyxjOXJqiztKKMZnHJeznqXJX0lWRNT2iDY5Td84mGAuyI e3bEb1MlvqWeEA991Yoxb7y/+80QwCD17AzVkEqsXzbJ/MS8NmzvP7t3vLoA 1zv2OZmfq8RNU6n3T0rb8fjlDlmbf4X18a57f1Z9rSD1KT7T7x6TGtg88mUi ZJZYxa+vT0SFwyT9YAU2eV9H2YXokv0pD8ekwMVRQyL91wu4K+3UOGRZTdoX 9V2m9sW0P0Fj0+2bs7oSoWwTp5T8SlhnynVtjXIQ+h+VUa84s9Lg1mu/eUwS D1aCJXq/ttJxhymfirNUfGdqj/yxKw4GLEpHuvXzXU/X8qFuZcofDbqviSnf vlL55KgzRXjrsi2nPLkJixJvIH2gjuxrYspnaqdU/UjFTaMtMgUil4phs3ni GCu5Zkz+OXP+qKd1ZJ9JZqqE5XCbErANygP9TjSjcHr3yH+30nymfonpeJra u+L+WVgKTr6Xt2d0MyxHxHTUjKsj8xnK31Lvep4HP93WO5OA1nkmGXLC/Tct OaB5XqQWZpp76y3LEjChJrNZkpcG3YlKZm1JbMb2RdkF0/5Yah2Y5kUmx7V/ 502tQ9lL6c47g61QXNMQ/Pkp3UfBlF9hWC2zT7gfTm7RFoXF7fAtEFGeAhbu XLm6/LdBC0b4hV/Vqm9HUVtr3D45Fm6dqhgxo7YdOqnbM4adE2Bly5yucW0V JC7j6OHgsToVqdybWY9j3TGip2xgxaUqEqfeAcODJ8wX0UlCvsWwpC+PYvEx NnfWq8ga8l4uwSzc6MyXGETKd7oaylWi3OhFlOgnLkq7Lpf7hcXjctqI4YMy XBx8+drM0JNH4rdzvSIKt2Uh9VR6/7ItDZjoKz25p59+R2PaV6B4q8s31Ckb F3aPmrWmrgFbPPhwahXmX1/EZD40ZMJatO76omkNkIjwmVc7jB4P9Q5I+Wdq PCEPAo+cG1MAyTIx6+7aRih9+rr1uS3dV0z5E+rdgbofm1Zw6u72n1z4Lqgs /XqyDU/2TmkPENbV032uzHTTbsMffVfDrBUC/J3WubnHsZJ8T4zSqj59QuYr CsyWPV/5XoDYu9m5Ey5W4Eody98vVIBxm5EhESTAiFpV6eUhNN78NOP0wg8p WGvte8WSG4DdDaHXPBuqsOLMavb2kakYdtZm/NJuPxRrlEbHhFWRfOrcUjrU +7jvs7h1RSPj4HB05AoXVh6MnBVSZhZwUDhO44Pn3ngc87nuriqbjbpNV67Z FNfC1U9Dcn30B7wq+1jwOKoELDE31XeHuHh75F3iKfkYtGSUDVaalMFLj3VO 4wp9v81Uh3pPp+yxtmdG8Li0GDidNXct5Qj9SMnjtpB0LsLG2hXaOMRg+dr6 Cw5h5bCt5Y+LDqH7tBVFF/25rRkHg1E/Bmwz2NDdkGYsvoHOT2ZZrwlf8Ooj uPsdK2QG+ch5N9yzRpF+l3eVvxM1vCAeC/o1pnjN5uKj6/1wDQ/ab+xuMD29 eFwCQpsS1JWXciEz3yV+uRudB1J9BZQ+0z6BH6uy49WDMnBRflhel1M9ti8c ZnxCaO85ooNbXl3JwHJ/j2hD23rsawiIyp9G51dM/QP1Xao/gexLJ/yM8vkf rpl9n1EhP7E2ankTzvvGhytoc9HeeXjKz6ufMcU43uTr7Cb80NqcVWrAZZwv UeMxk1DeGC+cr0+Y/BRf4XwFv7d6mwvnq9HDl5ZfVoCACaLetxobsVxh4csW axqn9Knxk/Ml7hnS4ngOS31ZOPR8QfD4ny3Ia/MJ+mpbi4mD7j3HM8vw3q14 53XdFqjPkl8cdpaD/UXa67QulkHz0HTvFSot0NK16PHy5+CZg/omi6gyTE18 /vTM2hZ8WPAt6IkbB9rnt474HF0Gy+W37PuEOFLMTBSEOKW/2kvVcqpdLV7m zjsfmNAKvo3InbFSbJyv35UfUMxBjuu+6ODOViTc6RzhHl1D6jD9LtN5UXGK 6fipfhgq3vHWOUhdWs7FKsfiES812tDcuCb5xboaJPuIb9a+34qq3T6Jz2QF 0I57cWH460oy3lF8pc5exRjRr1AJXv5X840AYmrNVSLeFUgtqmwc2CKMf1/0 nivfEKDtacLL+gz69wsz1geOtz2SgqBsu38eFT7BoEaSnuGMahKn8nZKn4p3 VJ8tFQeZ9qNS8Yjqn6H6h6n4RX2Xqjt6z/t+/eOfAJXiC2cMdnJx017tR805 Or5QcYrSEdxaxFd4mYRpMr6Xiiu5mLQkwHLycea/X2YaR6j802hRnavJ7o8w 9871uF3Ox5Wx1dvFFtH9rm/D7VqTHhZi5K35Hfd3NKFt6pi+30vp3zU31q1r mbyxFOqtUm4LU5uRop7TbCNah87W4esufyrF6E9/HQwFzWisXLVTuZz+fQfT 331Qds30dx9UvUa921J1HKVP9cloH+2497E/AYk5b603GKfBoVH+76gnbEQE VjR3B35A7a41F4sMSiBwFsje2MslzxWbrbB88F4RerbqnVmT24Rdufr6N3/S +0Lx9/1TbTc4hY+pbKlNGl/acNJF/LT8P9WY/EPU3W1+I4ySuvsnm7VDz/mj 590FVbjNf1qVMbsRg2o9oXp72+Gj+sd78cIq/JEYP3GNcwvGbgl58KatHWbe czu8JrBIPqU/6sDIu6tHZ8HUZ+fSrAUN+KmyweSx0K6Pnjsh/XlUFhyzGtXE hXja+2y/DyJ0vxyVl1L9SJQ/nzc+WGv02Di4zF/35HxuHkLMuRZiucK4FjM2 Y9P4dJRMt1r5TI2Pj2dX2U/W5pE4dV/K9DxQ+0Wt/z6Rgvbv5kkYvoE3bebH GOgkaZ/tCawh80yqXr5/9M0awcws/Nbs2XhRowHqarYKM/9yEStZoqpm1wa9 wdMHN0IAr9Vr7v89VEnWm4sillzvNWzDCFUX6ahVApjplkTOsq8k19l6tg2+ JyThnx8Xe0aui4aHu3JBh2kNtIxTrObqpCIsxkJD8owbnD1K3aTPVQn95x73 BPVUiM6uPdIW7onrq8VSwi9XkfP9bJSlpBOdiUu+HpzFIg2w+ryvTzBS6D8z Z3vJ636FtKRaQlK8AP8kTJKaerIC/wfnZ6Vy "]], GraphicsComplexBox[CompressedData[" 1:eJyNmnd4zfcXx2OV0miFUpWq1qhSSqyax4y9uxC1V9oECUqqiFZVqBGrNYpU raIRI5qQQ0hCEjLvRUNkiYjIjVFpa/3invP+eNz+8+vjedLcfMdnnPM+5/N+ 3bfGTh0yobSTk1NYGSenpz9LfpT8l8ejmy1s/VdLCxe8P7b1qaXXefiNc6GR fhYO80o74pWWy+s/qu7U7JKF75V7Ya/7F7ns9nOzbW8+snDGb/6Huh/P4QG7 Hq6btcjKDXsH1usdmMOH2myf7rTMyr//0ehWQ88cPjfgpV5Nllq529v7G33j m8Xjfap8F/ydldfVe3pDFk8r7Na77HwrrxyUt3SKSxaHRNXcU+xl5az+o9YO 9sng0smuy2LvW7isfbwZHOzdPL3mKQtf3unZw2dBOge+6v7w6ggLXwxoNHFs pysc+1Pt9yIrWnjx9R/fdo1L4/fs40rl7CP2CfEan6jwKVNTeUqlBq5nsy9x 1cSVg11SUriid0q5VXUvcG69Lpk9VyVzhP1yK2+5uLnntunJfPKHl17Ji7Dy +rKvtd0zIZlbF3feOrRk3hvs80jmb78atejfzhbueuer5r4bksx7191PHrm5 SRLnrKjj/cG5FB70x/Qjr0Ql8qOZVw99vCSZK9jnlWieU5Ax43HO9gTu3GHv H8kxSTzi/egBHo/Oc1LXBraBpZN4nt/Bt0Y/OGfum19lws4C/3jevsUaVfrj 83zTPs84vvJiwzsfHI7nf8YdPN2yQaz5vChs7YAe1c7yqjDnn4ImnuFo+zyj ufzVanX8fozhRQ+39R9TO9p8Psn5QEzepCi+luta7Fn2FAfZxxnJZRp1oQO7 I7nLm4Ovrc87aT7fPCtu5ZqvT3KPF5t9kv8knB/Y3xvOG70avvNvRDiPcDq4 wtf12ecNElZU+PlgGJeJmDOqXcVQ3v1Gx8rb9h5hq/39R7jWvvf+Cp51hG/U 29hm84wQDrG/J4S9179zsfqYEL5/wLOfW/Nnn+/f+VGdeRVDePkd31p5/r/x rq8mbVw07Dduern6g/cGB3Gy/bogdr1c0P/NgUH8vdev1ne7Pft8SqOW/Xu3 DWK/YW5t6/YNZJf69o3kwF/6uPzSp+Tnjp4uO3o++zz2Ndu8Jt0C2b4dTieO 4Sf+fram/e/kove7yP2U8Kk+3/7eQML7V8v76XKajK+XjI8upsn4h8h11F/n N0XmR5j/KZk/DdD1scr60D5dPx+5jrC+b8n6UtZxWf8AWX/C/rjJ/lAMvzI7 qGT/bPtiO8W5hlMF3d9wuY6w/1tl/+nOuxIfbhIfdErjZ6FcR4ivyRJfdD9d 4m+WxB95anzukOvIIX6pdPTXm4NC4vnQzpE14xrG0pca/3FyHUV+nVjc7sME rtl2c/ZXNeMJ+TJP8oViNJ+mSz7RVM23DZJvhHys+8KkPxJ3JdAH7hMvPB6b zIeORc3sG59AAQtWt24fkMxFT57+l0CiLym8q0qrb3YvSaSKQZ/dPxSfwq/v bNF0TVQifVq67rTjXqnc5elu10si6MO1VnVGbf0gifxUPzqIftBM+/ZYOHpg dNCQS0k0sO1H3dNL9CZAxkWhqkerRI8IelXNNi2qqW8yHbx96/Sexhd4/q4R W8f8lEydOvpPXtH7Im+aU+DzTr0UGmQfxyUOqPvzieC5KbTnM175JOMSR84t vpxmSaHB7uuaJ7RK44CLYX5jhqcS9HOt6CcNU311lXmQZSenTehwhY/PXXIk 4iULzbKP/wo3uhBcJ6yxhc4Vf1HLbXU6+07olbzF20IXraUCfcpc5X4+KwOt yy00fUuP+bO3X+UJMm+C3re96jK6bryFbq/O/bn0tAxO6VF5zuQHFqrtPGb+ 6cgMHjTuw7rJNazU3z6fTL6/bE3NOa2sVNGlhdNAz0xu5R3R695AKw3b9uKa +dWzuMUkj7C6s6yE+tPmp57D7vhbqV7ehrsTfbI4MLfNvbzvrVT9+I8vpPTP Zle/5s47Nlrpqn3+2ez9R3qzXZusFH8mzDd1aTan9O7yndsWK+26eT+s8Isc 3h+yPfvoSiuhHg6fEBXtt9xKe/7iiafCc3h3tQVuc0qe388+3mvc/UXnX8rO tFK7KPcvX599jbt0eXD25kgrTbevwzWu1CGjc1jJ+LtOq5IZ8s81fqHcFx8G dLDSgLLlI09WyOXiWu0rb2uD+eSyR+QY7y9rW2ltwM+/Hp6Ry+N2jlnzyNlK 4xbfW7iOc7nqrm8tSwothPo+5tyV27UzLbTk3+yHR5peN+vfKNxyfMDo6/w4 +zu3SpsstOWVE5VnLrrO2e+4lB+12ELoH0ZJ/0Cfj/Xo/2rHPC5w7su+Jftf 1CbwvappeSY+Nq1p4vHyKzf4WP/tfbpNSdX532CPcr+/nPtxKt1t2OKvVcNv 8PlaM+N7N0glm2/MuRhLye/Xl29c8VuKzi+fq7WZFx3XMIUerm36ZeOV+fxJ +WoebheS6Z2u057UfZhv8uPLs+Oi/u58k8N6t5q4y5ak+3eT3T+aOajpviQ6 vPZa2N7rN/mX47aIm3cTKWCFd4uqvgUmn7vX/7FBzjcFPGpajQpfRCfofhbw weah64N+SKDYjHVeHq/e4sGvLnhSxu8cVamacX7kt7eM/sTN+7fZ3Y23uFn3 uXmvlo4jH/u63uLExF75+3xi6XoH7/ztNQr567tHd6/+7Ay95RlRtvzQQqN3 +45c2hnwfSF7rUr1y1wRReH2zws58sngrOqNT5HTowZLGxYXGj0dVt1jzd3K Nq600N3V+auT5B3bjUa723jQpuDafaMiKMM+LhuXKOlSn8BwuhhzrnjIVJvR 774z/DaMWGnjok+7/L66KJQCmly8Vrjbxr2OLh63759D1PnHD6/8G24z9eOf owMajj5r4+oFEan11wTT3IiU+c63bGzt4Ly23+xfaNbm2MCMQpupV4dHn3LL LLLx2PfnR7T5ZBtJnSzi4P6lInoO/qYDfn++jhaxd8WijgEbEo/h/jS5n/F8 1M2v9P1jO9rfz8U6vp4yPu6o40edXKzz2yzz4z46//rD7PPnpWtyc/dPtpk+ 5Qtdz/mynjxU17urrDc/eij7gTo46HbrGhcKC/kvt9CqsesiGfsXLfvHe3R/ F8r+sqvuP+oi4uWMxAvHaDx1knjiChpvqIsxGo/jJR4Z8Roi8cqdNZ6nSjyz v8Y76uIBzYc9kg+MfOkp+cI+mk8nJZ/YVfMNdfJvzcfPJB8Z+Vpd8pVvaD6n Sj5z6Xcl309IvrODHnCa6gfqpO+dJ0kj2+axc9PAM2XLWdjx/DJF9JL+PRHx Z7e+Vi6U8wq10vNKiOgdbdTzTKacd2i0nnce2PP+Ok3Q53nJ+6iKvu+KjMfU 7VWiZxQtesbdZfw0XsevekYJOr8cmT9d0vkvl/Wh2ro+d2T9aJyu3xuyvqYP 8Zb1pzO6/hdkf2io7s9e2T8K0f1bKPtr+p4Osv80X/e/jsQHpWh8nJL4oVka PxUlvkzfdVrij4Zo/HlKfNJ9jc9M0TP6RfQM8Wz6vJ0S77Re4/2g5AOVchpi z4f+ki9UsYXki+aT6StV3+glzbcpko+0V/Pxougbreps1ze+IPpm+tiekt80 RPNb9Y16av7n3kt54UmEzfTR90U/aIHqx9eiLxQr+sbN27zeZLvNZvr2Q6JP 9GEz0ac9XTf3v/7ARjgHPLTHl010r1HV46pv8nvG+WPP/f5M//T3hceev9+l o3m+nh9UH0n1kdx0fNBfjL+T6vPfOr+Bqt9dRB8J+r5M1+dOqOh/b12/N2T9 UD8I9QPr7ynrT5/r/nyt9WeU7l+qv9QnrV+E+jVQ9/+u6CUhPh5rvdut8eOv 9VDrJaFeIh4fan09o/HaVeuv1mdCfY7WeB+n9Rv5YNH6rnpJ07T+L9V8Qn+g ekmql4R8HKL9heolqV5SQ81n9CfFmu8jtX+BHrhqf6N6SaqXlK16ckX7Iwe9 ofWqRye1v7qteoX+S/WTXhI9I+jdeO3frKqHk0QPyUEvSf0faiF6SufE/6EP xf/R9cuho+L/0AHxfyhR/B9qKf4PjRP/R+ebRer/0Crxf+iw+D9kEf+HHiXZ /R/62z7eq7RX/B9KE/+HVon/QyfE/6FI8X9ouJxPzPxT5PxCK/T8MkT8H6oo /g91lvMQLdTzUHnxgyhb/CDaL+crWid+EO2V8xct0/PXa+IHmf3Fe5eJ/0OJ 4v9Qd/F/KFv8HxNPuO+S+D8UUVznzsGySTTulYhaP94/Z66brOfX2XLeNfF8 VPweShe/x3x+Qc/Lep42+ZIj522arOftGi8dOP3xvUiTj5lyfqe6en7H5/56 vi8l53+T/zvEH6BE9QdMX3lgWBenqDCyujVZP7xFKK0T34FOit9An6vfMLtv oO/kaSFGf5qIf0Gh6l/g8+nqbziL/0Hvqv+xX/wRo3ebxD+hCuqf4POb74q/ Mkf8F6OfgUF2f4YCfxV/Bp/H1RD/5j/+Dv5eXfwf9XdI/Z2SPlKfr/qP95+U 97P6O6T+DpcVf8rUkwE6v8nqX2H+Hupvqb9D6u9wlvg7pn5hnS/tFf9M/R1S f8f0/VfPi/+m/g6pv8OddH9RP7H/89TfC+gWt7xxSXxsKBez9o0bJzlb/B1T rxFnfdQ/VH+H1N/hlRqP6A8Qr1b1J+M0nm+qf6n+5jMfSPPBU/1P9XPIR/3R KuLnUG31T5FfVvVXH2r+oT/6U/Ozj/qzDvnLbTS/0Y+p/0LqvzD0Yb36xbe8 RD8uqZ/soC/8merPy+o/Q5+Wqz+t/rXpN+NV36LV345W/Vum/reDPnKa6ucT 0U9erPp6QP116O9U9d/bP6/P2l9mk5f4Hbxb9TxB/Xzofaj6/VatB4OVBzj2 4+AG4AjgBuAI4AbwTcANwBHADcARwA3g44AbgCOAG4AjgBvAVwI3AEcANwBH wLqDI4AbwAcDNwBHWKL7Cl8NHAFcARwBPh04ArgC4gpcAdwA4wA3AEdA3IIj gBvgOeAG4AjgBuAI4AZ4DvIKHAHcABwB3ADXIW/BEcANwBHADXAddAEcAdwA HAHcANdBd8ARKu8XXcpTHxrcANeBG4AjgBvA54YugiOAG4AjgBvgOugwuAE4 AbgBOAGug86DG4ATgBuAE+A6x3piOIH+HZzAcAOtN+AG4AR4PzgBuAHqDbgB OAG4ATgB5gtOAG6AevOt1GXDBcAJUF/SpK7zUq3z2A9wAnAD1BtwA3AC7Dc4 AbgB6g24ATgB4gmcANzAnAM0HsEJEK8F2hfFajyj3oAbgAsgH8AFwAnABcAJ CrVPQ76hHuVoPmodIa0ryGej56hH2jcaHx++/s/aZ0IvbmsfWl/1BL499Ebr CI1UPYJPD71CPYNvr3WEtK4Ynx6+/Xrtq2+rPqp+Gl9e6wppnTG+O3z4I9rH b1A9nq59PvRa9Zy07hhfHT77eT03HFX9P6LnCtQHrTOkdYeLpc4Y37yZnlMe aL1Rjm18b/V9SH0g42PDV6qg56Q56jth/eBrw8eGrw0fGz4WfGzja+s5Dr42 fGz4ZPCx4WsjPuBrw8eGrw0fGz4dfGz42uZcoT4ffGz42vCx4RPCx4avjfyA rw0fG742fGz4lPCx4WsjH+Frw8eGrw0fG75oup77h6hvivyHzw1fGz43fG34 3PC14XMbX0J9bvja8Lnha8Pnht7B54avDZ8bvjZ8bugrfGj42vCp/19fG7/D 18b90HXzfPW14XPD14bPDR2Hzw1fGz43fG343NBp+NzwteFzw9eGzw2dhs8N Xxs+N3xt7Cd8bfjc0G343MvUJ8zWeIHPjXiCzw3fGzoO3xs+N3xv+NyIZ/jc 8L2h6/C94XPD94bPjXyCzw3fGzoP3xs+N3xv+NzIZ/jc8L3hc8P3hs8NvTih PvI61RPUCfjg8L3hg+N7OvjeDr6nA31z7LeVy7JyWqoves8TRe9ponBZ3iqc lpTLsnJaw6NDhNNSa+Gy5tyhXJaV01If4bJcSTgttStr6xvTzso9pD5QS+Gy rJyWmgqXZXfhtNRKuKw5pyiXZeW0VEu4LJcTTmvOKTi3pAqXZeW0FCxcln8S TksewmXNOWaPcFlWTkvuwmG5iXBZc47BuSb8WKNmzq2sfLPFywcqVcwln4mb vBpUsrJzfnuXPr7POAN8NHAGcAdwBvhw4AzgDth/cAdwBfh+4ArgDOAK4Azg CvAVwRXAGRDP4AzgCuAM4ArwNcEVwBmQT+AM4ArgDOAK8FXBFcAZkM/gDOAK 4AzgCvB1wRXAGRz0xHAFcAZwBfjI4ArgDA56ZrgCOAO4AjgDuAJ8bugnOAO4 AjgDuAI4A/S5k/rs4ArgDOAK8Omh/+AM4ArgDDgngAOAKzzHCf4PrvDc741c OuJ+nDfw/LTn65vx08AZwBUwfnAFcAbU1zzlLOAK4AzgCuAMDvXbcAWsP7gC OAO4AjiDQ/9guAI4A7gC4gNcAZzBoX+hldrf5Gj8gTMgPsEZwB0c+ifDGcAd wBmQH+AM4A7o38AdwBnAHcAZkJ/gDOAO6B/BHcAZwB3AGaAP4AzgDuAM4A7g DNAfcAZwB/TH4A7gDOAO4ArgDOAK0EdwBXAGcAVwBnAF6DW4AjgDuAI4A7gC 6ge4AjgDuAI4A7gC6hm4AjgDuAI4A+YLzgCuAB8PXAGcAVwBPiC4AjgDuAJ8 RHAFcAaH8yK10e+JTZXvjRnOgHGBM4A7mO+pqe8JzoDnjtTzrfpFNF7PvxHq q4I74DmIb3AIcAdwCHAHXOdwPjfcARyin57vcR3y96T6yuAQ4BLgELgOegEu AQ4BLnFTfG5zHbgDOES6+OSGT0CvdqqvDg4BLgEOgevAIcAloI/gEuAQ4BLg ELgOegsuAQ4BLgEOgesc/SPDIfTv4BCGS2i9AJcAh8D7wSHAJVB/wCXAIcAl wCEwf3AIcAnUu33KdcAdwCHgy1VrIVzIXfwjc24DhwCXQL0FlwCHwP6DQ4BL oL6DS4BDIL7AIcAl0E+ASxgOofELDmG4xPN+qeEQyI9pwu34jHI8cAfkG/on cAhwB3CIwXadSOIZ8r1RuizfEzU+REf9nvkczX/0c+AU4BLgFOAS0Jex8r1Q niXfEyX9Xijr90QNp4BegVOAW4BTQO92lRo//0W/VP7k8cYF9xc94xbb/Vr3 6Xg2jT6Oy8tPs6Tq+C+T43mkUaW0UVtCirjd4MNVgqpauFOZlp3LtCziv3Zv /rPkHy/buKhBqzeLjP+efLndkj7Vi7heo2FOmdFpXFrP0bFnfrhc8o9D7ywY v7mxzfj93bbZgufuKGRL1Acl/5vBE9PbV12Se8vwA5w7H1xZUzp9TRanjv74 7915BRxwvvnvNU5nm3Nh0ojjlhHHr/HTv7rezWe3kr+mjM5l/4zcsZYf8s35 C+e6Ph2Dw16blMdxk/L9LVHPfuJzXIf78Bw8F++J9LhOnvHXzDjggyVsOprm 6/FsnBg35uV6JemNK0m3zLyxDlgXrBPWDeuIdcU6Y92xD9gX7BP2DfuIeDy+ s9cnXbKKeG64/+KtoXF8xWXnvIQmt5mCS9UKLhXHb1V1K/l32/gLlX9/esdt fv18+xrn24dy1jHfzGO+t/nx2OX93h+xm+cdyKnRd95t46fg9xnyd8Lvmefs 9xPuh068rM+vLu+nt/X9Y2V8lK7jQ55G6Pibyvyosc7vksyfuuj8Db/T9Xld 1o9Sdf3iZH0J64s+45iuf6LsD7nr/qBv+VzjVOPS+G2LZL/pgu63xqXxA5tI /NBwjR/0Wd9rfGn8Gb8yRuKSEjQ+0ecN1ThdKPcZ/3SoPJdaa5yiD43XONW4 NH5tkoyTVmicalwaP7izzJv+1DjVuDR+M84lBRqnSbKu9L7Gqcal8bs7y77Q ZY3Td2XfyF3jVOPS6OZl2XdarXGqcUmuGqcal6auZEpc0WCNU407Wvh8nJJD nNLfYyROcf9rcj/i0vQzGpd093eJU80bmqNxqnFp+jfNO9I8pG46/xMapxqX pj/VvCbNc8L63tI41bg0/bDqBqmOkKfEpemvcQ4qny5xqjpEqkuUqvGA/h3x EifxQqpzpLqHODXnA8TjEI1b1VHzE5/jOod4N8/Fe/BejAPjwjjNuHUemBfm aeat64B1wTo55LdZV6wz1h374KAfZt+wj9hX7DP2Pahy/tbK+UV0q+Mq/3uP 46mnff7P4gRxgzhCXDnooYlDxCXi1DGO7+y92sH67X/jHHmA+x303OQR8gp5 hrzLl/Ezxo+83KrzQ94ij5HXyHOH+mR0AToB3cD6O9Q/ozvQIeiS9glUQfbf +FHQMeiaQz02Ooj4gk5CN6Gj0FXorPH3VIehyw79hNFxxDl0HrqPOqB9A+La +J2oG6gjDv2PqTuIc9Ql1CnULcQ56hrqHOoe6iDqIuIcdRN1FHUVdVbj2tTh vhIX7KVxjjqNuo06jrqOOo84Rx+AvsCxb7grcf2fvgJ9B+5HX4I+BXGOPgZ9 Dfoc9D0Yv6fGuca16ZMc+9//AVoXeE8= "], {{}, {}, {Hue[0.67, 0.6, 0.6], LineBox[{1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205}], LineBox[CompressedData[" 1:eJwV0udaDgAAgNEvGYmESDIaZpLZMKJF9qqQkYaRlWRLQin31EXISkYohbLJ KCLHj3MB7/O8cWWVeaeCAoFAE7dp5g53ucd9HtDCQ1p5xGOe8JQ2nvGcF7TT wUs66eIVr3lDNz285R3v+cBHPvGZL3yll2985wc/6aOfX/xmgD/8ZZCAoCCG EMxQhjGcEYQwklBGMZowxhDOWMYxnggmMJFIJhHFZKKZwlSmMZ0YYokjnhnM ZBazmcNcEphHIvNJYgELWcRilrCUZFJIJY1lLGcFK0lnFavJIJMssslhDWvJ ZR3r2cBGNrGZLWxlG9vZQR75FLCTXeymkD3sZR/7KeIAxZRQShkHOcRhjlDO UY5xnBOcpIL/I1ZymirOcJZznOcCF7nEZaq5Qg1XqeUa17lBHfXcpIFGbvEP TJtT1w== "]]}, {Hue[0.9060679774997897, 0.6, 0.6], LineBox[CompressedData[" 1:eJwV0ddaiAEAgOG/JAplN4zK3gqRQvfQJbgA3Ya9V6WsjCQjRUayS4giEZGE JCujkPE6eJ/nO/+SlmdnrQgJgqCClWIVq1nDWtaxng1sZBOb2cJWtrGdHewk h1zy2EU+BexmD3vZx34KOcBBDnGYIo5QzFFKOMZxTnCSUk5RRjmnOUMFZznH eS5QyUWquMRlrnCVa1znBtXUcJNabnGbO9Rxl3vU08B9HtDIQ5p4xGOaecJT WnjGc1p5QRsvaecVr3lDB2/p5B1dvOcDH/nEZ7r5wle+8Z0eevnBT37Rx2/+ 8Pf/5NAgCCGUfoTRn3AGMJAIIhnEYIYQRTRDGcZwRjCSUYwmhljiiGcMYxnH eBJIJIkJTGQSk5nCVKYxnRnMZBazmcNckklhHvNZQCoLWUQai0kngyUsZRmZ /ANlRWbo "]], LineBox[CompressedData[" 1:eJwNw4dWSAEAANBXUXyGP2mIbGWkyMgelQilkqyibNl7k71C9pbslb1lhszs e8+5zVIzEtJDgiCoMjI0CKKMNsbmxtrClsbZyta2sa3tbG8HOxpvgp3sbBe7 mmg3k0y2uz1Msae97G0fU+1rP/s7wIEOcrBDHOow00w3w+FmOsKRZjnK0Y4x 2xzHmmue+Y6zwPEWOsGJTnKyUyyy2KlOs8RSpzvDmc5ytnOc6zzLnO8CF7rI xS5xqctc7gpXusrVrnGt61zvBje6yc2Wu8WtbnO7O9zpLne7x73us8L9HvCg lR7ysEc86jGPe8KTnvK0ZzzrOc9b5QWrveglL3vFq17zuje86S1vW+Md73rP +z7woY987BOf+sznvvCltb7ytW986zvfW+cHP/rJej/7xa9+87s/bPCnv/zt H//6zyAsCEIMNcxGNjbcCJvY1P+QNnvp "]]}, {Hue[0.1421359549995791, 0.6, 0.6], LineBox[CompressedData[" 1:eJwNw+dWiAEAANDP6V9kJXs1bKGIkF1mGVEaGqJBKVsZRUNGZa8QSmZK2p6u e8+5kUVV6ZUTgiDoNzQkCCY6yTAnO8WpTnO64c4wwpnOcrZznOs857vAhS5y sZFGGW2MS1zqMpe7wpWucrWxrnGt64wz3vVuMMGNbjLRzW5xq0luc7s73Oku d7vHZFPc6z73e8CDHjLVNA97xKMeM93jnjDDTE+aZbY55nrKPPMtsNDTFnnG sxZbYqllnvO85VZ4wUqrvOglL3vFq17zujestsab3vK2d6y1zrves94GG23y vs0+8KGPfGyLrbb5xKc+87kvfOkrX/vGt76z3fd+8KMdfvKzX+y0y692+83v /vCnv/xtj3/stc+/9vvPAQcdctgRRx3zv+Oer0g6 "]]}}]}, AspectRatio->1, Axes->True, Frame->True, Method->{"TransparentPolygonMesh" -> True, "AxesInFront" -> True}, PlotRange->{{-2, 2}, {-2, 2}}, PlotRangeClipping->True, PlotRangePadding->{ Scaled[0.02], Scaled[0.02]}]], "Output", CellChangeTimes->{{3.564480033352968*^9, 3.5644801072021923`*^9}}] }, Open ]] }, Open ]] }, Open ]] }, Open ]] }, WindowSize->{1008, 633}, WindowMargins->{{0, Automatic}, {Automatic, 0}}, FrontEndVersion->"7.0 for Microsoft Windows (64-bit) (November 10, 2008)", StyleDefinitions->FrontEnd`FileName[{"Creative"}, "NaturalColor.nb", CharacterEncoding -> "WindowsCyrillic"] ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[CellGroupData[{ Cell[567, 22, 496, 12, 211, "Title"], Cell[CellGroupData[{ Cell[1088, 38, 367, 7, 97, "Section"], Cell[CellGroupData[{ Cell[1480, 49, 127, 1, 36, "Subsection"], Cell[CellGroupData[{ Cell[1632, 54, 1049, 28, 41, "Input"], Cell[2684, 84, 8920, 155, 385, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[11641, 244, 1004, 29, 41, "Input"], Cell[12648, 275, 10212, 179, 385, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[22897, 459, 150, 3, 41, "Input"], Cell[23050, 464, 18838, 322, 385, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[41937, 792, 130, 1, 36, "Subsection"], Cell[CellGroupData[{ Cell[42092, 797, 1823, 57, 86, "Input"], Cell[43918, 856, 19393, 327, 377, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[63360, 1189, 128, 1, 36, "Subsection"], Cell[CellGroupData[{ Cell[63513, 1194, 2525, 77, 130, "Input"], Cell[66041, 1273, 20852, 350, 377, "Output"] }, Open ]] }, Open ]], Cell[CellGroupData[{ Cell[86942, 1629, 177, 2, 36, "Subsection"], Cell[CellGroupData[{ Cell[87144, 1635, 2695, 80, 123, "Input"], Cell[89842, 1717, 36140, 611, 385, "Output"] }, Open ]] }, Open ]] }, Open ]] }, Open ]] } ] *) (* End of internal cache information *)