(* Content-type: application/mathematica *) (*** Wolfram Notebook File ***) (* http://www.wolfram.com/nb *) (* CreatedBy='Mathematica 6.0' *) (*CacheID: 234*) (* Internal cache information: NotebookFileLineBreakTest NotebookFileLineBreakTest NotebookDataPosition[ 145, 7] NotebookDataLength[ 85145, 1561] NotebookOptionsPosition[ 84288, 1528] NotebookOutlinePosition[ 84630, 1543] CellTagsIndexPosition[ 84587, 1540] WindowFrame->Normal ContainsDynamic->False*) (* Beginning of Notebook Content *) Notebook[{ Cell[BoxData[ StyleBox[ RowBox[{ RowBox[{ RowBox[{"f", "[", RowBox[{"x_", ",", "y_"}], "]"}], ":=", " ", RowBox[{ RowBox[{"x", "^", "2"}], "+", RowBox[{"y", "^", "2"}], "+", "x"}]}], ";", " ", RowBox[{"a", "=", RowBox[{"-", "1"}]}], ";", " ", RowBox[{"b", "=", "1"}], ";", " ", "\"\\"", ";", " ", RowBox[{"c", "=", RowBox[{"-", "1"}]}], ";", " ", RowBox[{"d", "=", "1"}], ";", " ", "\"\\"", ";"}], FontColor->RGBColor[0, 0, 1]]], "Input"], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{ RowBox[{ RowBox[{"Df", "[", RowBox[{"x_", ",", "y_"}], "]"}], ":=", RowBox[{ RowBox[{ RowBox[{"D", "[", " ", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", " ", "x", ",", "x"}], "]"}], " ", "*", RowBox[{"D", "[", " ", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", " ", "y", ",", "y"}], "]"}]}], " ", "-", " ", RowBox[{ RowBox[{"(", RowBox[{"D", "[", " ", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", " ", "x", ",", "y"}], "]"}], ")"}], "^", "2"}]}]}], ";"}], "\[IndentingNewLine]", StyleBox[ RowBox[{"Solve", "[", " ", RowBox[{ RowBox[{ StyleBox["{", FontColor->GrayLevel[0]], RowBox[{ RowBox[{ RowBox[{"D", "[", " ", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", " ", "x"}], "]"}], " ", "\[Equal]", "0"}], " ", ",", " ", RowBox[{ RowBox[{"D", "[", " ", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", " ", "y"}], "]"}], " ", "\[Equal]", "0"}]}], "}"}], ",", " ", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], " ", "]"}], FontColor->GrayLevel[0]]}], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{"{", RowBox[{ RowBox[{"x", "\[Rule]", RowBox[{"-", FractionBox["1", "2"]}]}], ",", RowBox[{"y", "\[Rule]", "0"}]}], "}"}], "}"}]], "Output", CellChangeTimes->{3.41169648440625*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"Df", "[", RowBox[{"x", ",", "y"}], "]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"x", "\[Rule]", RowBox[{ RowBox[{"-", "1"}], "/", "2"}]}], ",", RowBox[{"y", "\[Rule]", "0"}]}], "}"}]}]], "Input"], Cell[BoxData["4"], "Output", CellChangeTimes->{3.411696494140625*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[ RowBox[{ RowBox[{"D", "[", " ", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", " ", "x", ",", "x"}], "]"}], "/.", RowBox[{"{", RowBox[{ RowBox[{"x", "\[Rule]", RowBox[{ RowBox[{"-", "1"}], "/", "2"}]}], ",", RowBox[{"y", "\[Rule]", "0"}]}], "}"}]}]], "Input"], Cell[BoxData["2"], "Output", CellChangeTimes->{3.411696496984375*^9}] }, Open ]], Cell[CellGroupData[{ Cell[BoxData[{ RowBox[{"M", "=", RowBox[{"Maximize", "[", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", RowBox[{ RowBox[{"a", "\[LessEqual]", "x", "\[LessEqual]", "b"}], "&&", RowBox[{"c", "\[LessEqual]", "y", "\[LessEqual]", "d"}]}], ",", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], "]"}]}], "\n", RowBox[{ RowBox[{"A", "=", RowBox[{ RowBox[{ RowBox[{"M", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ";", RowBox[{"B", "=", RowBox[{ RowBox[{ RowBox[{"M", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ";"}], "\n", RowBox[{"NMaximize", "[", RowBox[{ RowBox[{"{", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", RowBox[{ RowBox[{"a", "\[LessEqual]", "x", "\[LessEqual]", "b"}], "&&", RowBox[{"c", "\[LessEqual]", "y", "\[LessEqual]", "d"}]}]}], "}"}], ",", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], "]"}], "\n", RowBox[{"m", "=", RowBox[{"Minimize", "[", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", RowBox[{ RowBox[{"a", "\[LessEqual]", "x", "\[LessEqual]", "b"}], "&&", RowBox[{"c", "\[LessEqual]", "y", "\[LessEqual]", "d"}]}], ",", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], "]"}]}], "\n", RowBox[{ RowBox[{"G", "=", RowBox[{ RowBox[{ RowBox[{"m", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], "\[LeftDoubleBracket]", "1", "\[RightDoubleBracket]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ";", RowBox[{"F", "=", RowBox[{ RowBox[{ RowBox[{"m", "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}], "\[LeftDoubleBracket]", "2", "\[RightDoubleBracket]"}]}], ";"}], "\n", RowBox[{"NMinimize", "[", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "y"}], "}"}]}], "]"}], "\n", RowBox[{ RowBox[{"Surf", "=", RowBox[{"Plot3D", "[", RowBox[{ RowBox[{"f", "[", RowBox[{"x", ",", "y"}], "]"}], ",", RowBox[{"{", RowBox[{"x", ",", "a", ",", "b"}], "}"}], ",", RowBox[{"{", RowBox[{"y", ",", "c", ",", "d"}], "}"}], ",", RowBox[{"DisplayFunction", "\[Rule]", "Identity"}]}], "]"}]}], ";"}], "\n", RowBox[{"Show", "[", RowBox[{"Surf", ",", RowBox[{"Graphics3D", "[", RowBox[{"{", RowBox[{ RowBox[{"RGBColor", "[", RowBox[{"1", ",", "0", ",", "0"}], "]"}], ",", RowBox[{"PointSize", "[", "0.03`", "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{"A", ",", "B", ",", RowBox[{"f", "[", RowBox[{"A", ",", "B"}], "]"}]}], "}"}], "]"}]}], "}"}], "]"}], ",", RowBox[{"Graphics3D", "[", RowBox[{"{", RowBox[{ RowBox[{"RGBColor", "[", RowBox[{"0", ",", "0", ",", "1"}], "]"}], ",", RowBox[{"PointSize", "[", "0.03`", "]"}], ",", RowBox[{"Point", "[", RowBox[{"{", RowBox[{"G", ",", "F", ",", RowBox[{"f", "[", RowBox[{"G", ",", "F"}], "]"}]}], "}"}], "]"}]}], "}"}], "]"}], ",", RowBox[{"DisplayFunction", "\[Rule]", "$DisplayFunction"}]}], "]"}]}], "Input"], Cell[BoxData[ RowBox[{"{", RowBox[{"3", ",", RowBox[{"{", RowBox[{ RowBox[{"x", "\[Rule]", "1"}], ",", RowBox[{"y", "\[Rule]", RowBox[{"-", "1"}]}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.411696499921875*^9}], Cell[BoxData[ RowBox[{"{", RowBox[{"3.`", ",", RowBox[{"{", RowBox[{ RowBox[{"x", "\[Rule]", "1.`"}], ",", RowBox[{"y", "\[Rule]", "1.`"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.41169650059375*^9}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", FractionBox["1", "4"]}], ",", RowBox[{"{", RowBox[{ RowBox[{"x", "\[Rule]", RowBox[{"-", FractionBox["1", "2"]}]}], ",", RowBox[{"y", "\[Rule]", "0"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.411696500609375*^9}], Cell[BoxData[ RowBox[{"{", RowBox[{ RowBox[{"-", "0.25`"}], ",", RowBox[{"{", RowBox[{ RowBox[{"x", "\[Rule]", RowBox[{"-", "0.5`"}]}], ",", RowBox[{"y", "\[Rule]", "0.`"}]}], "}"}]}], "}"}]], "Output", CellChangeTimes->{3.411696500671875*^9}], Cell[BoxData[ Graphics3DBox[{GraphicsComplex3DBox[CompressedData[" 1:eJx1XHtcj2f/z3myYWQOD9LWY2uG5vjLrE/WHnMY24NnsmcMDbG1TRjmnENm zkObYtim8eQQliiu+k6R0jdRIVbSUSGSQw79vve3+/253de6/HO/vF3u7+d+ 35/z9blul/FfDZtQ28HBwbGeg0Md29XlypCDVVW3BK7nfixubbvSxOn7f4r0 L2G8W92hrfKdSml3o+YL/bMKGF+5KbeN26xiurljxkTXgbmM53wQ5pLkVkQT 7PfJYryre+gbGl69Po3xWb3j3jLuY2E8esJLH2i/66D/AV55NGSiJqe+noBv DnktLjr0Du7PeDf/f5zdmVMBeRgfNKzjtdikh5Cf8b8GDbzfcMxTPC/jszpZ 6scl1fLS+WHcK7pkvVNMXS/974wnjHDZVlXVALgArzND9j8NCSxknnHNqN/i yaLga8wzcPefdlXFV+Ywz8Cf++3y86k+2cwz8J0TEl7WcPAMvG2f5R0S+D4W xj/1u9I90Pa74Bn41mPjB4fa5ATPwDM9Wk1yiillnoEvuTnfu2L7beYZeOi5 7/7TZFUF88zPlRw+2ce5knkG/s6FwgWpPlX4O+NFc9olR4fWZp6Bf9li+MWd OfWYZ/DXIj6scNPwHF4HvGhsq+SHqReYZ1xDl/Y7uyj4HPMM/N0Hp/+Kr0xl noHnRh26q+HgGfj0k0+bBfJ9LIw/fmWXR6Xtd8Ez8L6Fo3oED+f3wnLN8G3y YZNV+cwz8N/rV3yl2QV4Bv65X73TKytuM8/Aq8a+9ld60D3mGfiL/r53h8Q9 Yp6Bf9j/v8sqUx2YZ+AZ2Wt/yHdiPRfg6eNOW3dl559nnoG71015f6Tzaf7/ jId47U3xEcwzrqkTJub9lX+IeQbe3++Fvtk2HDwDX7uj5x9Wvo+F8ZErbr3q Y/td8Az8969qe+fY5ATPwNv4+X/7jL0w7jWy7WjPHgXMM3B/l26LAhxvMs/A BzeMGREYXM48Ax/d4v6UytQHzDPw0h6DFm+PeAp/wfjjg5dSntFzAT4cem5u FRJ4knkGXvbdvgHJPvuYZ+A52xq3LczfwLwAd4+Odjnns4//jqtXpH9Amg0H z8B9FvdxuMb3sTBezf8+5hn4FrvfOMk88/3tfGYwz8DPpUwbWrH9KvMMvNZP 3wU8E18Yd4qfdGb00NvMM/COZ3dc0/QcPAOPLKt4NNfvMfPM/Kxz/95tVi1J n9PE12OmXrli0zezPqcJ91UZY/LyfxVmfU4Tpw4mtEnzEcKsz2liw/QP7+Tk nxBmfU4To8rnJmi4WZ/ThF/42eZn+T4W6T6/CrM+p+n6fEjS5zRx+LWRa1N9 rJI+pwnLpXtBTjGXJX1OE2t6v+in6blZn3GfW5I+p4kvt00ck5N/V9LnNPFY HPkmKKFS0uc0sWT2+lNdwhwkni0i9vXj4Rn5GySeLcKnzZ5xHzsflXi2iBPe SzpuCTwp8WwR08dMbdQiJlni2SJ6X9mS7WTDzTxbhFNsw19C+T4Wvj7XeMr/ fGy/a+bZovO8QeLZIi549ppp6Hka42kTJs7R/LyZZ4to+eTUuAjPPIlni82B NV7h7XtD4tkiui1+J6t1SbnEs423HRvLtbzFzLNFFExxCEpyM3h24D+x3y1/ Y/Fx8Ay02t4F8ww8al1el1HOp5ln4NX6aTX8kf6nc6enhTZ9Y56BV/N5mvkF fmfX6zGptt91UPwBz/j7tbL0L232wjwDr+Y/k3kGvrl4/6daPgOegVfrP+ex jE+b3etjzW+DZ+C17f7H4Bl44+S7K6uqqkjSZ1LoMyn0mRT6TAp9JoU+k0Kf SaHPpNBnUugzKfSZFPpMCn0mhT6TQp9J1mfIpfDPpPDPpPDPpPDPpPDPpPDP pPDPpPDPpPDPpPDPpPDPpPDPpPDPpPDPJPtntqea8w1S5BukyDdIkW+QIt8g Rb5BinyDFPkGKfINUuQbpMg3SJFvkCLfIEW+QTXnG7mkyJ9JkT+TIn8mRf5M ivyZFPkzKfJnUuTPpMifSZE/kyJ/JkX+TIr8mRT5M8n5M+6nqAdJUQ+Soh4k RT1IinqQFPUgKepBUtSDpKgHSVEPkqIeJEU9SIp6kBT1IMn1IP6for9Biv4G KfobpOhvkKK/QYr+Bin6G6Tob5Civ0GK/gYp+huk6G+Qor9Biv4Gyf0N/Lui X0eKfh0p+nWk6NeRol9Hin4dKfp1pOjXkaJfR4p+HSn6daTo15GiX0eKfh2h X3fitQUdsyJvCFxb9Z/mqD0v+Af+XouTSYuCS6iDHc9mPLT37Faavul/x1UU TbicPtOD3yPjuQd/fD8nv74X7lP93Eki54NXb2j5M/Dq5z4gTpcUPtHybfx/ 4F+ffJp53hZP3x/5bvmA9XmMN3P+r0sLzhtzGS/98ciLOyJS5PWE9dV8ZvD6 zW0PJWr5pyQPQR5pPWE9eMB9lncTC5xiHpMkP0F+SU6CnOa4doD2tSzI327D Jd4IvEm/S/Lv4t8V75cU75cU75fwfvF3vOek+hPcgofXZ73C7/yauNFnZ84N vj/w16I1eykk6T4C9zHzbxEjIn6+7+17RpjzigPC4ZPbxUfypxPeL+xydbdp r7xrWy/xKWQ+sX5AlfbHeL/AW7knJz3zu/x+PQtDIgMc5bz9AEEeSX6S5Of3 hftIvJGCNwJvkn0R7OtOYMEX/lk3Ba51/Uve7BJWSvrfcRVH2958JzD4b+tJ sZ6wHs+L/3c+PTJwSNwNXod///bM0d+7vNqA7w9567i3T8zO53X8/+r/OqLP 8K//tl4o1gusl+QhhTwEeea55MVUVRn7EVNmD3g73ymPLk74NsHGK//uvalv t/Fxvs441m+eXrfqri2v7rm7aWpV1TVeP25Fu0+7hBUxjvX1VuV5J7nl6HL8 Xf+BY/3IpWdbanG/+nczef31ZoMCtPsDx/rVLV4cadzfyusbLt7kpckPHOv3 LB39T60uqMYFr/dt2mD9gPWljGN9g+Yp32j86Di/3wxvf3IdeIdxrP9wxXZf LT7qv8vrk6PavxDepIJxrG/fJ3BBZWoZnovXj+s7vm3w8AeMY/3BY/Gr853u gjdevyGlt3++02PGsb7gg5Ds7hn38V54/cHD1gVa3Q0c6w+X1Q7Q7qO/d14/ ZU1ycXpQbS/gWN/8w6cvz/NzgF7x+pcbr/i/Cpd6jGN9q64nOnvUq8N6iPyl af8F78cmXWR9A/5V3/tWrW6CXgH/l//hUSsrzrL+AP/hgijW8nPoCfBR85su NNZbGd80Zldbrd7Bewc+ePYKocmD98v1md3P5PF7BJ615VHhrYDr/L6ALx7W r47vvDJ+L8D/yHtpRITnXX4vwJctnV8wft4D5h94RY9ZR2d6PCHwCXzhw1pF Mz1qMZ+IqwtSQobkOSUzn8A9o78f8YrNH4NP4OkerVIfpEYxn8AbFXo01epK 8Ml55fy5kx/yeivj31fduvEK539GP+ZejwPd823ygE/gzzdcOC3A8S/mE/i0 my+n2+IZ8wl8S8Wu8vZtSphP4LVW7T6t1e/gE3ha52ajtbwdfALvd6XRm64D K5lP4ENCgvuHBlYB5/i5aVT5PxcGH2Q+jf5obEqyZe5x8Mn7FM19Bv0cGCbA J/CoKKfTWj8EfAJfsWJNy628/pn+68Dc75a/4XscfAJf1rHDnUU2ecAn8G4P unxk6LOV8Rfs/Uz2q4y7+9fKTw8qYD6Bb1wXvkyr38En8JDiY+nXvcuZT+CO Px3eVVV1n/kE3nKkt3hGb7kPVHDS8/BY583CrJ9pYu6FW85aH9Wsn2li3YqZ j4eXWYRZP9PEvYMTL2t9PLN+ponP/eL3GeuNvvVVe954VJj1M028ueH7ZaNs 8pj1M02ETJkbaMtvJf1ME24N685ym3VR0s80cbzRd5eue1+T9DNNuLr3mBuU cF3SzzRxLWrRh1q9adbPNDHMb46r45h7kn6midEdG/QJDH4k8WkRR5e+ONar R6TEp0W0z2jldtXGj5lPi5g6/ccWyxNOS7xZxKBhBaeCbLiZN4tIXXdojcaz mTeLOB2V94On7XfNvFlEzML/Ttb6+WbeLMJjw7TPm6xKl3iziP5nvc6PHnpV 4s0iwitKZlSmFkm8WURYyOgzXcLKJN4s4qXBI7d7+1ZIvNn0oOG1yOhQtnfO b3e4pH0d5R/NvAFv5jr7Ta1vD96A1z274tOwnDPMD/D4bKcftf48+AF+aMRv v0ba7g9+gJ/s9misUSdbGSd/70kRnueZH+CJx15L6xLGeRTjXXLPTdPqd/AD vGjdv98PHm7wA3xkv8EdtDwE/AD3rcro+Yw/5LxdoVek0CtS6BUp9IoUekUK vSKFXpFCr0ihV6TQK1LoFSn0imS9Qp9D4d9I4d9I4d9I4d9I4d9I4d9I4d9I 4d9I4d9I4d9I4d9I4d9I4d9I9m/oDyniLyniLyniLyniLyniLyniLyniLyni LyniLyniLyniLyniLyniL9Ucf3NJkR+SIj8kRX5IivyQFPkhKfJDUuSHpMgP SZEfkiI/JEV+SIr8kBT5Icn5IfqRivqFFPULKeoXUtQvpKhfSFG/kKJ+IUX9 Qor6hRT1CynqF1LUL6SoX0iuX9DHlfsSwOX+A3C5zwBc7icAl/sGwOX+AHC5 DwBcrveBy3U9cLl+By7X6cDlehy4XHcDl+tr9H9WV3zqlx5UKvd5CH0eqZ9D 6OdIfRhCH0bqt5C538J9FZL6KtyPMvdPuE9C6JNI/RBCP0TqexD6HlJ/g9Df kPoYhD4G+MH1t01fxP6vST7zszGlZY5NblF2MC1+SNw15mfPnMF11rveEM+V tv4y1eca85OVfmCg68Cbouig0wC3WfnMD/p1B7xPzTbkEMLRvc3aSP9b4nDZ z11CA0uYH8jzaNdzJ9e53mB+IE/iqOLcnTm3mZ9wXZ4e/jmv+IVXMD9/6v3U t9dM3rmy4iHzc0mXM08smeIU85T1CnJuqGoVVVVl2GNcVP9fIv0LRdicfusX BWcxP7huC5vz3/HzLjA/t5vtLR6wvkg0bfz09VSfTLbH52KvPr/etVjc23vK IcntAvPWwb+Fe1ZksRixIuvysLJLzFvvNgOHuw68Lty29RKTwrOZtw9Ozv3G P+u6eOtB6bm6Xa8xb5DzaMrsW7FJzD/LO/3csc4RnqXMW5ku56HK9fe7Z9xm 3iDn0DYXfwpwvMe8OetyLh0QMc8pppJ5g5wfL/3HL61LOC4Q5JxY1KheXJKh b/U+3PWdf1aueLPjc5m96xnytXtyOTzS/5rYOeWzSafdTjGfuDZ0/XfdmR7x zCf6/SOHpex5u0cC8/lZ3VkvrXfNF8EVWb7t2yQxn3Mi/ueRFZkvcuu//YMR R4T4YUz2J64DC0TAkPOVm4ZfYD4hZ0GPXv8XGpjNfELOIXZ+CpjPHrqcvr2j N48eeoP5hJxZUWPXBCXcYT59dTl35FWs9/a9z3xCzuec210YP+8x8wk56/X4 fF+Ao6GfP9jt4rJwyA3pkegWxXxW6/8VcTlowI4OA3cwn+V2Pf9LBD668EWU zwKpL50tUu3zXUuYz99DLj0esD5HRCfWm9O3x07mUwxo3GG961XheXP18T/8 o5nPzIp+3lmRV0Vs2ejw2KRE5nODLmc1bxnMp0WX8+Xlro62+zGft3U5R21b OCjCs4j5xH5Ivn1uqoz5DNPlfHvDsN3bI+4yn5Cze3KvJlmRD5lPyJnQbM8f Mz2MfKat/f2eE0OXHG0z2XkF23n1ezwvfmxR5bgk+CDr5Vz7+0oXp8uWXixw imEesY/kmluyukVMDOfbuG4udu/UdNUfnG9X291FkdR2xJGPjTpF9LLb1yXh ZJ/r2M98ttPlHBES1cBxTArzCTlzPbyetG+TxXx+q8s50P2bp+Pn5TGfu3Q5 L4/9utY8v1LmM1OX86ORJ//sEnaH+Wygy3l5pd+AwGAj3+6ty+lwNqSxRz0j 3x5kl+eE8B6cOOqg5yHms5qfBLEzJPXlEbY6ju3cfv9EcaztGyt7ZJxkvqr3 uc4I59g3PcJy4pk3XFNPHH4Y4Hiceat+72dFA8qwJlRu47rvfV2eB1sWlO7M iWfedunyzIgIvpkelMG81dfl6W7fp8tl3j7T968LmzV9GJtUzLzF6XKWdh6R fd3bqPs66HLWHndgsY+zUffF6nJG7tgx2W2WUff9Zc+314vtUn+mOg/fITY2 Hdf1S5u84M3fLs//xCTLg3bv+hr9meq8KFoM+S15XZNV8cwPru8lP97on2X0 GUr1313Wt0FudKjRnynVf/fJNx8U2fSL+Rmr/26r+NsBOflGf6ZU3ye9UZJ9 d/w8o8+w085zpKhq+fBxepDRZ5igy7lzgFPc6KHcZxCuulwHwvt9tjXwMPOg r7fVg5odxTMP+v3p+t6cf2j7++BBl5+qnzeBn19/Xurdb9WOoATuG7CdVT+v 0W/R+aRvV0y6PtPD6LeE6797P3Fm9/AmRr+lTN/nlXnQ3xetbRHZtixA7rfs oATv1Q7rXQ0edD2hqxe6+p226TN40PWKvhiy8I3pNv0HD7oeUv/ca0s1e4Ed 6fpMwZWzSbMv8KPrP40a+cV3Rl9F6H7vBA2fH7oqwma/4EW3L/p0iE/VkDiO s3ytfl7Oc/R96jN0tqLzg/Qgw44m6vMMRZId6X6Atnb83tOjnmFHut+gz4Z1 eKdiu9GP0v0MnVr5XpCWn4A33S/Rqw++/cdGm/8Eb7ofIy/6ZsmnNn8L3nS/ R6WdN54w/HO2zk8G/VPy57pfpcBwFy/D/1sRL+jJyl4XAm3xAnzqfpvS7H5+ BfOp+3lKt8+bGf0TPS5QtZ//i/nEtdpe8plPPe6Q7M/1OEWvDZ41PsLT8OeQ c+H000uDEgy/pMdBmh6+93pskuGX9LhJg1a8lyBs8R186nGWdkxI+P6QzT7A px6Xyanf2wPe4vwhG/MX9LuUb+hxn25QuzoWzk+sQs8TqPlPFxu8YrMP8Knn FXTHnldHsd1CztsF6V1z8i8zn5DTJ3nWOlsexzzqeQ5Nt7y+2tu3mPnEtUDK N/Q8itwXz1vu42zkG3reRa12r0wasP6Bkb/pcm7N7vxhaKARH/W8zhY/E4O0 /BN86nkgReet6K/lq+BTzxvpi3NuLY38lvNh+o+UD+t5KXXqX+ffRv5sRb5N 5XbeTjGfet5Lu1e2P/Z/9azMJ+SstfXtKUluRv8EctYO+NcrCZVcL5OehxP5 Tv00KOEm8wg55XwY18iUzfu7hN1jPiFnl/KJzT3qsR4iPyfvjvGHd+YY+Zte d9DWMZM2a/UR+NTrFKo9f0mAVk+BT72uIc/ZgZFG/cX1Gt2V6jW9biIX55H/ Nuo7K/wxJSR2/l3ze+BTr8sob+/79QKDs5hPyLnkq9jYul1LmE/I+avnO0e6 Z9xiPvU6kQJbTN/sFHOH+YSccr2m16F0pHPqpe4ZD5lPXOM+GDXax/kp8wk5 u3sdbVoWYNQXep1O4SMynbT+CvjEfM3Wbl8N1+4HPvX6mkZ3Kuqh9QHAm16n 09rp/RdpfQPwptf1VCe+U6nWZwBvkOtAt56X1rnmM2+Qp9ahIy8MjbvNvPG8 j70PXM686X0JyrHHhXvMG+am5P6A3t8gj23tGviFP2G+IGdxdsSI4WUOMj8C /EB/MM+1RZ+jk/EQHcdz4j7X88N8/bPqcl8LvzOp16qU6951vHCfSXr+ma3P AQL31fGrEn5Hz8cS9TlG4NeleUsp7xLIu6T8SiC/MvfJD4jlxwJGz/I4w/eX 5zmlfJWQr5r7vZEibmUXqzZXCdxXzzNpW/+zxhwdy8/zmdLzEp5Xug/hPtLv En4X/IOHiPrbMtKDjH448nN531DHCXm7xA8p+GH5zfsIB+jTkNimz67X3y/J 71fXB4I+SHKSJCeei6Tn4v+HfqCktxRSsz7TFkmfcYXeSnpOsp6jPynNTaGP KtC/NfNmzIVKvAmZN3nOE+uBX9l7oZmxr62a2/z7HCbmuiDvoo5zx3YJQ3y8 xfh1j3tT04OKeG4JeFZUU1+trsT8DfCuAemTnWJyeI4E+Pxhp6drOOYhgJ8c dWuxcR8L447L3w3W5MFzAh94JXGvFh/wnMADRy04HZt0g/cjgY+a321Gktsd 3lcDPtX37aB8p3u8P8R9vk/GhnQJM84FAG/pFxKhxWv064Gf876ftzOnNubY ub5pnRw6cq7fZeYT+N7KyZ19nI3z/8DPlMV/UrerMS8FfIbvB1O0PBd8Am/u 6rFQw8En8N+6Ld5q3MfC+BtrOsdr8oBP4Ofbtv1Wkwd8Am/809mNqT7Gvi9w r76H/9Dme8En5ymLtTh2h/kEnjSn4aJI//vMJ/ArQdr7fcx8Ao88l5R53ZvP YTHe177fWpd55jx96Xd3X5t1lnkGXrw39v4nQy8yz8APj5hQPm7eKeYZeIM+ sxpf9/6TeQb+TvTgPhoOnoFPupD9zXi+j9EHih7QZrybTR7wDLx3ueu60TZ5 wDPw9Ir3bPpzlXkG/txPnevO8+NzH4yHRLhs8HEuY56Bd9397u9a/xA8A+8X ueB465KHzDPw1PS0jNgkPifL+Jd1f56V5FaHeYb/GFk+t2t8ZSzzbPibis2b hqdK51myxeM7fQtHOO9mnoGXdXh5aLqtbjKfZ8kWv/f4uNEFGw6egR+v9WrF R3wfY85i/uytjgk2ecznWbL173WkMs/A92af+Dwo4RLzDNyx+an01iXGPj3w 3leuPBwSZ+wfA3cvfPHFsoA70nmWbPFO+fuv+oXfZ56Bn222jZqsesI8G7zV 2xPgKPuNTLEm8GjzDYHBkt/IFBk78pcfDbVIfiNTtPrpYvIMx73C7DcyRWmt 9/a/PuuIMPuNTDGj6mcfDTf7jUzx0Ypbx6fxfSyMJx9MKN1sk8fsNzLFtE57 o7U+m9lvZIpOjd9pMTTunOQ3MsWA3cten+eXI/mNTPHN9NChWp/c7DcyhbXb 1OjtEWWS38gUVz3Dz7YuqZD8Rqb4ekxVsVbvm/1Gpjg+oGdgklstSZ+tosnM +zNbxYQLsz5bxcLinNQ/K/dL+mwVn2z4X/N72+OEWZ+t4vl9Pz7Q+nJmfbaK 1M7xyRpu1merCG/65toKvo8xBxRgP1ceLsz6bBVHKqf2SrDJY9Znq/5dgjOS PlvFsmNpdYfGZUn6bBW37flOvqTPVtG6TfxQrf4w67NVOP+05ViXsLuSPlvF nqiydC3vMuuzVVyx98ccJJ6FSO8c7/tdgnG+HnjgkLVhWh/PzKcQzfzrDNHy HzOftvuUdHXRcDOfQqQltnA17mP0/5a6BO7R+qJmPoU46LKjj5ZXmvkUonXP 1+/V7XpS4lOI8rE5R7uEXZD4FCKscukirZ9g5lMIa0nSLm0fzcynEJW1XEp2 5pRLfAqx3GV6naFxDyU+hXg8sHBYhcvf+CTwadZbQal/dN4WU7lW0ltBZp6Z N1LwRgreSMEbKXgjBW+k4I0UvJGCNwJvkl2Twq5JYdeksGtS2DUp7JoUdk0K uyaFXZPCrklh16Swa1LYNSnsmhR2TbJdoz+hiFOkiFOkiFOkiFOkiFOkiFOk iFOkiFOkiFOkiFOkiFOkiFOkiFOkiFNUc5zKJkXeRYq8ixR5FynyLlLkXaTI u0iRd5Ei7yJF3kWKvIsUeRcp8i5S5F2kyLtIzrt4H77mOoIUdQQp6ghS1BGk qCNIUUeQoo4gRR1BijqCFHUEKeoIUtQRpKgjSFFHkFxHoB+pqItJUReToi4m RV1MirqYFHUxKepiUtTFpKiLSVEXk6IuJkVdTIq6mBR1Mcl1MfpS6OdIfRtS 9G1I0bchRd+GFH0bUvRtSNG3IUXfhhR9G1L0bUjRtyFF34bQtwGfwBvNc+1V 4VLfC3Np6POs6Xg8t+GYXJ6vAl436/Fr2vwA5pkYP/TaD9q5D8zlcJ81ytGi 2SnmS4C/k3vRKXh4Hl3V+7PAt3e7+Hm+UxHmLbjv1NG1R3NtHwH7xMCt9R+/ GxhcwfuIwMsfZ83Kd6rk/TDgm+qf36vNEWFfB/ilFwOmhQbW9kLfE/iqyTNa ZUXW88I8Gfd56t+YqM0VYH4LeOnB499q9oj5HuAO+8o2afMqmKcB3uhBYLQ2 /4O5DeBLT/a5u871KuZ4uC90O9G3SJurxP4o8J3HHPq6DrzH+3zAL574Y12q zyPerwJ+4qu4u1qeg/0Y4Fn1D7lkRdbxwvwZ+iRnplx20/z5HH0+CfisIa+N TQ9KIEd9/gZ4k+QeYdq+5BR9PwD4gPKFVQ3HZGAOjPsw91ce9kqovIN5O8aP rHOLXFlxH3ONjFfuOtg5MPgJ5kQZz7q+e/jwslpemOtC/6Fg9ZP7yT4/E/Zj gN/wKDoZEniY0I8GXmn/Hs4p3gcF/n/+Xdtqc7/YzwPecPE3B7XzNX+avpOQ LTplTOmozT//qc8boU5fWpyz8aWYULFH30fh/bfwuFoV2yMw98l1feSUJJt/ foA5WsY3rivsHuH5VH8unN+yinvNoj7WztFgPwz410u//yTJ7THPoaK+2L/p 0u8ZQQk89wk8JKWkqbZ/hLlA4JfHuhdq/XbMtwHvOfJQuI03zKMwnvhBZqy3 7zHM8TCeY/9O1Gc8pwK844OCbh71MnneAvj4fnWeaPvFsHfguzv/+VmSWynb O/BZ20YVzfQoZ3sHvunY5A4e9R7yPgfwR198PSXSv4rtAXUB5nbgB4CP9Rtd pc1rYT4SeKhL2kXtnB38APC7LT/6WZvbwRwb8LhGvuHa/MkN3Q8A/3ZbSmNt zgjzJcAnRM5uNzTuGvsBrte2HDyhvW/4AeD/yGgclepTzn4AeGJZVpPwJg+l 7zBY6V77uMkaD5iXRd5erM/bYO4T+Lht82dr9QvmF3kuL6vg+RFlBzDPxPiC K1dKM30WiHG6fwD+xshkd7dZR3jOA3jXTqfCVlbc4HkF4B+3+ShxZUU577sD D+mW4xUY/JD3lYGPHBN4VIuP5u91ZNMpfb5ll9lv0HXdb/ia/Qbd1v3GDbPf oEc1+w3yqNlvkKPuN8zfV8mmN3S/gflO5Jlv6vMhmF8EfmZL9g9z/ZLpF92f AA8fcLx8rt95njMA3jJ36yQf58e8jw58zpLRa32ca3mN1/0J8q4Uj7LUhmP+ 4v114C37tA7Jd+K4yXHcuf/2fs+eZwCOfEOyFwF7kfyMgJ/B/YHH+g8Ouno+ 8Lh5/1GI/fo+OOawgQdXevzzkc0vSTgBl/yYgB8z73sa+8uS3xDwG5KctFCX U+r7kaLvR+j7Sb9L0u/yv0s8M459TClPI+RpUp5DyHPMdiHEbaHN8Rrf8wGO /pu0nqT1LD/6ezgfAv86ZdMUH02vdH1jv1vlkbdam9vHORY+99Pz+Ixn9Jnx N2cvuzXH0H/OB+annDzYPSMb9sL4+Tm9o1ZW5GN+2pjb0s8FmL/zk619b6rb Q5td49wF8Jfc35+82eYHcH4AeI858X1O2/yG7h84H5hu/25eOvwJ41/3S4/X 3gvmF4F3eJBW2D0Dc8k858Zz9TjPg3wgKejB86/a/CfOqwDPXNKn5y2bv8W5 C+Brt7VP0/wzzg/wfvs4vzWaP9f9M+cbCRM8828FnMa8NePrBnTZo/U/MWcJ vLU97lzDOQHG8/dGtvMLL0F8Yfw/+hy7+ftCVrFg4fAQZ1scxDkW4Oc2pfXS 5vxxHgP4c/a4Y+F5feDLO247psVrPc5yXvR6+WV/Tf8wXwv8yIDK89pcH+Yv gW/ZceUlv/BsnItg/K3f1u5/dh4O+Isf3g53ijHmh4FjzhzncGBfc0Lcx/3L li9hPp79W7fP22h5GuahgQ+yf6/yF8zNM36wfrv6Zbb3hXlW4PPP5f8ZHXoJ 5z0YT45anaDNqWJuD/j5vR/viw69yfNnwEsndEqJDr1Lkh8m+GHYO/KKNgOb XdPOm+v5KucbzwWM+lKbb8Q5McTrpWPiGpYb+TDjXzbeHfUPI3/m+F47t9zB L9yq5+FnjP5nG5djrUuy+LwZ4uyPNds1tajZrslDt+ubZrsm2PUks13TVN2u d5vtmlx0u8Y5N8Tfr6u+/0arj3COC/j5gtul2jksnEcCfmjKyifnbfUXztXw HPGKwvZavabXXxzfxze98dtMjyuo14w57uae7lo9rtd3xjk8e/1YwnO0wM+l 7H2knUeDnUKvl7aos0erW2GnwPu3KPTR6lzYKfCZ9voxg8//AA89l/iVZm84 xwI8KiwpSKu7cU4AeK69v4TzvQmMX6qV1E6bd4X9Ak/eG3Ncm9vEHDDwT/rd itDmEmG/wFM9f1zmFPOA7RRxMzkqJWeTjTfkFcbca/EvWt8D5214zqp8by+t f4LzJMBXV42q7zgmF/0QjsupK70OzPQo5rl54EUvzF2t2SPmv4E/vjTtsOY/ MccMfLElbpc2rwu7Bh507NWto4c+YrvmPKFg2OnRQ235p37+Cvad2Oj2Ck2f 8b7gx/rkRt/S8jesh39IrNXkOW1uUKorBepKnJsC3tT/lUvaXJ90H8J9pPWE 9ZI8JMuD54L8yDPwXO9u+Hz89ghjvgT4vvDBYTM9+JwI44XZz68x7pPJuEdP 7fw412OM+/x2Yrl2fzwncPPcrNXoXyX2jEj1Mc7PAl8+ZHas5m/hR4DHZA99 0XHMA7ZP7l8tjPwlOtQ4lw38acsLb/mF83fVOB/75sJb+Y1tfgzPy/0i73dn PHOeiPEVxRsaNeH1PF8tTkrz1cDn5DUe7O17hZ8L+Af+L+/09jXOtwIPrLp/ b51rBT8X8OHbPv3O2/dv89JCnpcGXrAswMMvvBbP5eK5f6sc56r5STwXzxdJ c/j8XYT6PVcY8/yCccet2ncJjP0e4Pmdu7ef5/e3+Xkhz88D/+f8DUu8fY35 eeCt2jc9o9kj5MRzxE2dHD3CeTPLCXzSlbe3v8LxSTDeznXcS8PLjH0U4Icb +bWe52ecjwDeMXrcjXWuxnlM4N1m36jtOOap9N4zxaCzm6cuDv5FmN97pvCt ++Vvi2z5ifl9ZYr4+nHB2rla8/vKFGdPvL9H01uz/FZRYf/OzK9SfWQVjZ09 f9L6nOa+jaDL2a67Z3kY586A3wza3/LwM31AuX4x8yzo5ISnp43638r4avv8 6t/O65H5vJ5xPuPjNTd2e/sa59GAZ6Q8KX/GzzDet/z3jU4xRdL7EvRVm75X okPlfFLQX3a/USHxYKXPpXNnwBvGi9pX+btG2YyX1DqZp/lPMw9WurbjhUjj O0h8rpPOSuc6gd/X35f5ea3U4cm9H4MScqXntdIy+9zFdel5rbQhImqf5h+k /JnqSOc0gUMfzP4tkwqk82LA9y+ctkSrd8z+LZPk87/AB9as5zRO13OzH8sk R38xvjK1VPJjmSSf2wWusAsy28Xf+1eSf6DYmv0DKfwDKfwDKfwDKfwDwT9I fpXca/arpPCr1Ej3q5KfJIWfJPhJKe7QfD3uSHGBEBcQF2E3/SLqXHjHF3Wd YHsKKv54/fYIYz8J+mWdUjb9GTkZH21JLWtnPBfr49D+Z3OeyRMYf8v+fSpj rgL4Z3pfwlxnZYudxwa5DyuzSPaeLRJHzPjyZdv7Ndt7tlg+9sJ/hrE+CNaj nxdmfqZ9R8vsr7KF5+6UIc/Of3B8ifjPF9p3ycz2a/QlzHxmal/xeGG+4f8Z X5TbKXOpzY4kOxVFNdupiNDt1PxeMkW7fSMalwUY80PAHwS2+VeTVXK+kSnk 85jAG9Vsp3y+3sy/VaQNiZ2ex/6N/a2Qz/kCV/hbofC3wuxvBdvNK3Y9OS29 L6uQz/MCV/hbofC3QuFvuV8hxVmhiLMCcVaKp0IRT4UUT9kfyOe7gSviqVDE U6GIp0IRTwXiqfTe6Zz+3qX3Qngvkv7T0pr1nxbo+i/pMyn0maDPkh8ghR+g pJr9AK2r2Q+Qwg/Q2zX7AZqo+wHJH5LCHxL8ofTdGJK/GwP8Vz0/l/wnDanZ f5LCf9IE6XsvwJGfS/6f4P/N76uQ5O8IAVfUTaSom8hcN3F8oWV6fDG/90Ka Jn0XCLiibiJF3UTDzHUT59H/qrn+pf0117+kqH9JUf/SSHP9y3FY/n4U8Ls1 17+kqH8puub6l1bWXP8S6l95/wjnKFX7PnKfU7Ge92uk+oL3U/4fnCjDaw== "], {{ {EdgeForm[None], GraphicsGroup3DBox[{Polygon3DBox[CompressedData[" 1:eJwtmXn8D1UXx+fO3F9KZcnW8qS0l7KnhyJJtApFkiJaZIksrUiRSotCq/Y9 1NNCElq0KTsplJ0sJZVSiJ735/W5f5zv+cyZO/Oduffccz7nTLUuvdtcn2dZ NpGfAr2In7Exyy7l+IGQZRehh2G/H9wGPBQ8AtwKfAd4NngY+CvwBq79H9cO 57gW+hKOH8M+hzF3YfsafB+4NfhOcHXGrEAu5Hgk9rbo4dhrYluDXMHx2ehd yEjwieiVSDvwg4y/GH0X4+8BtwTfDq6t8/zv4+Dh2M/HPgh8N/gC8GBwHca0 Z8wT4Nuwn4L9BvBA8H/BfXWtnh8Zz/Ezwf+pez4LviT3tXrOC7nPQ+CTwC3A 94JrgFuCR4LXoMdxfCPX1NM7cfws9ie4TydsD4MX6Fmi3/927KeiB2AfBG4A 7geeyphhjDmd4xrgX5HbsA9mTENs/fUM2P5AbgHXZezl4GfAQxhzGmNuBN8B bgS+CXwaY67XmoEfxd5R8wp+BHyZ1j/NyZlpfvQ8zdL8PAnuDB6VnuGs9Jxr wJ+Dy6f/bZHeRe/VPD3nWPCV4NHgp8BdwGPAp/M8vyN3cNwI/SsyMPdzbkVu AzdEb0FuAb/PtYPR73BtY2y/IUNyr2lTdB/sTbBtQ+7keAr229HvYi8F/hN9 c5qTs9P83Ao+A9wbPAx8LvhW8F3g83LP+VfM2WnI/eAx2DvkxqOD9819um/w WvVIvrEq2m9GYW+PHpH8ZLXWieNXkbeRn7FrQ17J/d8Gf4iuWdhvtyG/6Dxy LNd9H72ux6CXRfvN0eil0T5Rneu2Idcx/jhsP0Sv/Qno5cg5aZ57M+YtxqxF j+f4JuzTeM7+mmPs7cAHgJuDLwFXALcAtwWXB58Fbg+uqP0Kfpf7DOQ+ldN/ NUg++ZY0x2X1ruBbweXAE7m2Z24//FY+G+2Lig+nczwE+0L0k9FzN0j+yPEn 2F9N++h58HfaW9F+OTnFFMWTV4JjyXPgl4PnW3vwDL1r4Xd8TjZkg8brfshG 8J+F48BA8O/gUiVZ9ibnjse2N7ix/AmZgGxlTCvuvx+4Cbg1eH/wGeCP0a8h WzKvc5O01pMY0yv3/P+P+9/Mfctw/Kb2uHxfewQ9FlkHfgb9NLJeezD3fluj 9wKfjGwGN+UeN3P9FPDh6LaKO+A3wFsZcyr4HcUP7JU4Xgl+VX4A/ix4z33M mM+D51rzXJ/z1zDuFfB/wdeCXwOfAr5a12eO8bcWjvMNsHcDvw4+Gdyp8Pwr hp8NviftzRvBk8Ef8F99uf498Gpdx7kbOP4G/FT0HpvOmAG53+tUbL0492aK G/0LX6s4MAA8KXOs6Al+A7xKz8txH/1H8B7T/poK7pf7GSan95Vde+pYrrk6 7Z3jwdeCvw6OJV+CPw2OSR+BZwbHns/B1RhflfEdwUeAjwB3Bh8GPlj+BF6v 54qOXz/qPaJjk/b1cRxfo7UDHwJuD57B/W/l/IfyE+XP4BguP1TM/y3z3j8G fBV4HXqC/EDrFxwvpyt2BcfXL8BHcv4oxnUBHwU+GtxVvsH5cbljjfbIH8hQ vWfK4x9g3x/bh9F7fj/09Oi4sC96WnS8OD84BjRkfLNgv64Drsz5L5EjOT4v 2AcbYK+E7QvNl2JKcJyoi715cJyoB67I+c+Rarn3fevCe78Cts+Qw7GVRX+M HAQug/4IORB8Gfc5Gn0u40tjmxodvy7AXiXtC835QqQ2x9dhr4O+FPsJ6Er8 15Xggzj/tdYJ24Hor+Qr4CromVoDcAeuPQp9jp6N635CWoH/w/m5yEmcOxg9 W76leB/8H60ZUw7bJ/IVjg9Fz0NqgKtxj5+RToz5F9mEdE/+tgipx5j/ICWF 7/NS7riwOfneAqQWx1XR85GauePTnylGyU9/S756COfnICdy7gD0p8hh4L2I eb8w5kXwbPSYaO41Czw6mmM9FszpxIu+xj4qmofNBT8azSPngB+J5oKPJz4p LvSxOFR0/v5IcSI6H7+R4qxi7D48w1+FY7z42TvJV5VzNQc9wS/kjuOK4VsZ exhyOXi+uGE0d3w9d1zekvJ+/dycYZ54azT3HQ7eicxUzEFfGp3fZwXvCdnP wfYP8hDHU5FdjNuBfahyS4oJ5Tk/Q/uZ4/uROzi3APtF3OdQjpuC2wSvn9bi YnBV8Jngh4Jztbjl51z3YDRf+VIcM5qjzADfF83DPgGPiOZq9yb+Jq4+U1w1 msd8Bn4gmp+N1jiOlymmiddEc7UuXFsd3SbFsW+j5+jMlNdqp/i/OTqGKi/8 FM0blC82Rcf014NzywspL/wcHcdfS3FY+/etYI48Djw+OPa/BB4XHLNfTDFq STQn1jvVKfxeBbaJyG7G5uh3tR7gk5F/kSMYUw+9B6mW8tHG6LyrGPhdNO/v nWoB7XFx9Q3RvET1wnrlv9z1xTrlPHAz9F/IPYpX6L+Re8HN0TuQEeAW6J3y GflacG00lfufiW07crdicbBPKM9+CX5A6wmuDd4l/0j57pfoHPA0tq7oRzLX WWuRqzh+O5i7jcf+PPha8JPgF8HXgZ/SvgB3A49VnA/ODxMUK8Ddde/MtcOP SA+Oj8W+HTkQe3X038jB4JPQO5BDFBvRPyH7KleiNyOlwaNZn6+4R0XwwdjW BdeYB6LXaq3EB9A/izOBq6LXIyXKTeg/lD/ke+gNSCnFMfTvwfesgd4iXwTv zfNOQfZVPsL2Y2aOlGF7W3OH7SBka3Btcgj6V/FaxU/0NuWhzHHojMKx6FBs v4nvZuZUf0bXuofr/she8kn0RmRv8RD0Ppw/URxJ7wc+WnsEHMBHgb+J5mOK zf+keK4YJb9TLladVZPxOxULwPXRmqgjxUnAm/Qf4FLc432kNOca6//R1RUb sX0QzUED+h09N+ePR/7SHDCmBNt7SFQ8R09GSsARPQkpwI003+gTGH+a3hV8 PHhAcG7sBp7A8/6SO7+PB/ePHtcOvTia71aQX+j9tU+DY61qqy2F84hy2EOF Y+bCzLHonsQhL9b7lZiL6wbiy4rt0zh/VzSH1p5en2KR/mdXZj5cJZgba62P TmskH74lmCf3An+B3sS9yikvB3PsmP5XvFmc+SbsdXPXcWXTu6zVkgSvm2qx WsGcvExm/rND8S8zL9oJPgV8HvhfZBTH56L3IA/n5lG7FDsTJ/kbfHJax23g WuDHxdGi99Vj4iDRfjA3eL40V621hszVE9rnjNmMVM2MVTNoL+zJXN+IP1zE +FnRNY9y1siUjzRPc3LP1e7Me0nXrk3zq7ndqHoxOk5pPy3OHVf3l4+ht2ee mxA8P6ptNe+9Ul7+JM2//KRa4jMzctdQGi++ovXWWmvsuDR+OmP3FM714n6t 0j5dh/yTOW48jO2y6PhyAFJGsQj5QDkP+TYzh5Avyg/FAWak/xW3vaUwv1U9 +FFuH5Cv7tZ9M/93nt5LMec3xtQELwte26XgH8BjwN+D5wXH+NmZY/yQVLeu Dl6rVZnj6w/g48ALg/PGPPD84NwyB7woOIfMVwxJ+ULr9X3yAeXuBcH5Zy54 STAf0fsuBz8C/gG8AvwoeDl4abAPLgGvAj8OXgleKT8DrwB/F9x7W5w5V3dO fLsD735X4TroV4XZ4F6K4slP6V0UTzaBj8m8DlqP1clPyiOLkk+VTfHhee7X PTru9w3mvKq/+gVzVdVEzzHmuuh4Ld8sp+uxV05rrfs/o1otOnY/HM3ZJqW8 UDHlBv1vhRQvSqdrxdn2Dn4++XD/YL6suq9Ssi9KOaJJ4h5vBHMB1cJvBnME 1bzfiyNH5+AVqpuj8+sy8AvR+VvB5pvc8Wep5jW6F3Y3un005xXPqZ3ywmL0 09G9uSWqp6P7aHquSmnvvRuct1UXTwjmBarNxYvWgg+Tf3LtS9E8QHnnyFTX LEe/HM0VxKnWKNdljh/iIuIhyinLOK6SeS73S/P/LNd2i87NT6t+jc6vmlet zc7M9VE5zp2fuW4qC74gcz1VHtwSPFY1d3ReV31UIdVNqo0qprrmZfT10Tny JXCvaC7yCrh3NGdSDSiy0Vh7HN03OgefHx0otD/FtWNhvt0Se17ivXGBxpZ4 z7RSnizx3nhC9XE017lQebLE+0S5+Hd0jcy5dbN4E7hJMA9VfFBtW7pw3+wF dI/ofNwweP9rvzQIztW6tm5wbFVcrRPMX7QWTYNznvLdk6r1o/nTwtzrpDVS fb1v4V6c6uK9C/foXkX3iebEZwTzZeUX1SZF4Z6Vas8cfHrm2jmAG4FfRPeM 5n+qwfcp3A9UbVgK3CxzTfBHysXqZW3PXdeUT3tHe+sPxYjgnrzm9oHCsU7z eX/h2KX8ODzVXNcG9wnap9w0OzfXUm5X7lY+Uv01rHBPY1rKZ9rLivlTkL/T +t5XOJbKZ1YmvqT67MHc+13vuCJxHuXruwt/15iMHhJdz+t7hOo61XTykxGF Y7v8SjXUrMx1wcDC/ZbLwW2ie3ji/Ldhn5a5n68+vvrJnYN9Ub6t+uvkwt9c VKPVL/yNQ3XfKYX7mW/l5iXiJJ2Ca0rtEdXj6peOTHtkVW4uqnpkcOE+leqR 2wv39yahB0fXn+IPDxbOL6plBhXuNak31Q/5NHNdWbfwtxvV5rUKf3NRza4Y NSRzHVqv8Hei9xUjo3suU3RddD05Efwv+rzMPckbo/nruML5QvxHe3k1+KTM fOPOxA/VNxZHkr+9Bt6Qu0fUMiQuLF8KrgPkwy2C+Wz9FAc25u4jqRf9V+76 Wtx1S+4e1DnBXFh8TN+zbktrenYwXxaX0/MPiu4ZaU/9mLuvpZ7tTdE1gLjx gGgOfXlwL6pl8jf1CuU/ykn67qY9oRjwfeJdvYJ7Qp0z7/V1iV9dHxwHFau7 B/eZ1GNUL3d37l5Tn+CeTdfMffg9uftd2wvnFO07xZVFublxz+A+lnhOx+A+ mWLyFcH9pwvBPYL7W+qfvFd4v1+U1rcM0iEznzyg8Hj51V6F+wbaO/sX7qF9 oXVH7s7cL2pc+HuT+hLqraivou+P5xWuTxcH72XxHPX/zy1czyq3dijcK9C3 s+bIo5l7ou/l7ouqz3NW4RpZefOCwrWt+snnF66F1edpVvjb0z7BceK79Jzq L+n7UJmUuxRP1FPtmfavvpX0KFzL65uFvvfpW5ty62WFa3DlfX2DU/9Zvt0v uib8NK37wOTDNygn5e499yncfxbX1ZppvR5Bd4quOdXz/zB37Vwu5V/x9DGM uSK6fn4U3Dm6ZlZfuCS4T6hvkd0L81vVUPq2oWcYGvwdQ9+5RmHrGF2r3xj8 raNbiqvTc/NVcZi2yMuZecvFhXs1M3PHOtXL+hbTpnDPR1zlosI9HPHG3THF ZWw7kM80h8Fx+JvMPHBZ4o3Klctz155dg3uQF2eOJ5UL964/QB9a+DuX+pLa G9oX1wT3ktVvF29cmrsevyq4T9w2M1f5NnePSP20hoW/zcnPb4/uwem7j76j ieeqvvgyd99APcymhb+Bqqd6ELhdZv75Xe6aXbxoSe7aX73QRoW/q14d3MNu l9Z3Vu5ehzjG/Nx9FfGxjoX7M6oB5+XuvagnfGDh51c/uUrhOdE3jq6Fv29q bt9PeU293Mppz+pbT5fC30xvCO5DX5X5m8tVyMTMHGxh4hLyB61rheRjX+fu k4h7LMjdo5C/zU6cUPXp3Nx9Bn3j6Fu4l6Xe75mFv/lqvYZG99b/D7L1/Ss= "]], Polygon3DBox[CompressedData[" 1:eJwtmnfAltMfxu/7nPO2ZM+EJFHZNEhFg1SihcpIWSURsjIz0iCVQkIlo7JH SJpUVlGUkfVLRPZMiN/1cZ0/7t77c5+n93me+z7n+l7f67y1+1zQ5fxQFMWZ +ifpZ4NYFJUriuIJ8WXiM8TTNTCrLIpnxLuJK2l8qsZPEf8gflfjD4jXixvp 54M6vtH5AB23aXy2+CUdn4m/Ff+t4x+d99Jxkv7vUB0va/wq8e0aO1V8j3it +Hf9vELcVe/fSrxBPFjcTdxa/Jv4cnEXcUvxd+JLxB3Eh4m/F18qPlbcVDxX v/9m8WO6/gOfRz8Hidtr/FDxr+LNdXQWHyn+W+dXaryH+BjxJj6nuKe4Hd+f +yTuKD5c/Kj4GR2/6Px8HdeXvpc/6vxyHUP0/k/q9St1fbl4sPgJ8TLx6+JX 9NoXdfyh86q6Nkzjt4tX6/wDXQvi+Xr98eIjxNeJb9H4u+K3xXPyvd6o8z/5 vjq/W8canf+lYyXfW6+toWMb8WX6+aSu/aTzc3W8pt83Rr9/pq79Kp6hn0/r +Dk/z6U6/0r/Z08dVcUfiX/X+d78TvFqXq//X1e8k/gd8VPiHcVbi78SXyw+ WtxQ/I/4avHJ4vbieeLJOtYVniOr8+9vynvk9+uv1x8urif+WHyeuJm4vvgT 8QBxc3ED8VviM8T7iHcWfyo+X9xCvI/4M/EF4iPE+4rXiv9hruk4UPy+uJ/G m/Cdxe+J+4obi+vk78f9PETH7uJl4j4ar5/vB/f7bHFDcW3x2+IzxfuJa4qX i88SHyDeRfyB+FzxoeK6+X73Tr6/3M838/3n/u4ofl3cS+O1xduLK/T8rhH3 FncWJ/Eues3p4k7iSuJrNd5H3EVcXXyduK+4u3h78fXiC8S9xZuLh4j7iXuI txM34B6KTxdH8QKNd8rrZZ3GLhIfxT0RfyEeKG4tPkj8Bp9FXEe8A/NNfJq4 lng78ZfiC8VtxAeLuyTrwa7ibcWLNH5y8vxlPn2t919Ten5tJV6CLmm8Zp7f TTReVXr1vK4PLfjAmmMaP07jLVgTuj5H3C6v/34anyGeK54l7i1+WPy8+Clx H/E08Qvip1kz4kfE88QvivuLHxXPF88WtxHfhZ6Jx4l/FN8kvkl8pXhf8Y3i G8WDxXXETdAc8UDxUeIJGr9XPF68UGPTdXzHV9G1izT+uMaX6Hyhri3Q2P3M EbRC1/6J1tdHdO17XdtFfIP4Uo31FR8SrAGs/a91dE/Wx6G6drX4Qr3+MfFi 8QLx6WIKxnPohvgU8UMaf1r8qLib+H7eT/yAuKf4AfGT4hniHuKp4ifE0/P3 r1JhDeovPln8oMaf0vgj4q7iKeIZ4qnMB/Fk8XTx/eLO4kniaeIp4k7iXvpd D4snizuK76M+ie8VDxRfrfFF4vniY8X3anyq+B5xe/FE8RTx3eIO4nvE94sn ituJ7xZPFk8QHygeLh4mvlbcHL0WjxffKm4hHie+QzxKvIb6ID446wV682yy ftTO6wX9QS/2EH/DvU7Wv3q5Xj2f9Q+9Wy+eKT4s6+Of6L/4GHETcRW9/8vi E8RHUVPEr4hPFB+d69vcXP8Oy3qxMLn+UU9/y/WwdV6PFVlPqLfU483Ei/X6 7rk+VhMvEp8kbpv1ZUmun9RL6uuLyfqKHvwiniVumfX2J/EL4iPFBzBfkuvR 7eKR4lb6fXeI7xaPFTcVjxaPFY8QtxbfKZ4ovl3cUjxePEE8RnykuJPe4y7x aHEz8ViNjxPfIt6osdnituLG4kM1fhufQTxcfLB4hHiEeIj4Ctaz/s9S8Wvi RuJbNX6r+EbWl3ikeKT4enFj8SjxKPFN4gPEw1hz4mvEB4lb6/cNF18nbkh9 1/gt4huy/qF31HR829Yafw2N1LXjxKt08Rxxozx/mCvMGbStIs8V5gzfLQbP 9Xei5zZznrWwMnqt/LcmxO9Grw3WAGtpFWuq8Jr6Rudv6FqvXF/wexUV9iP4 m6dYi8HeAQ8xSuNJ4++U9ivUCmoGtbXUz7+yX8QfrdC177PfRKfQp4eyvvH7 8Jis/feiteA/DRB/EK09aAbP9vXotcgzRps+RGMKaxRr802eceE1ytxaFj13 mGOs5Tei1y5rmrW/Ilob0ADmxpLoucccYa7ioZhLzFm06v1o7UKzmKuvRs9l 5izavpw5XVjjmbtvRdcK5jC14+1o7aeG3KrzqPuxQudv6dot4iBeLl4mHiku xW+LlxaeC8wJaudPpb0LHoZa+3Npr4HnoBb/Kt6Q6+VzuvZbYe+DB8Jb/MKc 1vhffEedLy7sbfA41NofS3sZPM3m4u9Keys81q7U2tJeDE+2Gc+vtHfDw+HN /ijt7fB4eKcNpb0Dmshc/pc1Q//AM9X5EvROvIlnJH5VfDO9Bc80r8fBeX3O y/V4RGQh6DOI39TpVeLf9foF4jniq8UbxAvFc8XXiP8QvyyeJ75M/Iv4JfEL 4svFv4rnlPYL6MFv2T/gB4Zn/46/f6Own/83WS/w+0Oyf1+c6zd+/s/k+kS9 vVa8UfxKrldo2dJo7UPTqKWro2srNZXa+XF0LaaG4sXLZK9YNz//SdHrDQ/L 850c7TXxuGjXK9HahIbRWz0RrfVoPr3UY9G9Dj0VXual6N4NT8N8uDf6eVHD 7tN3u0e8G9qW58fE6PmA52V+3hftpdEsvPHd0V4Yj0wv92h079Yhz58J0d4Z T49XoadDO/EsaOm86FqMplKb50drKTWaXu1xcbPCPRu95ZPRvSQ9Jr3dM9G9 CD0evcmz4g6FexS89cxo74zHphd9StymcE9Kr/h0dK2j5uGdXxD3LOyh8Xqz o70fno/asDBa26kR1JYF0bWCGoNXe1Hcr7Bnw5vPEvcp7NFZv1PEexXuGeht 6HG4f3/m9XR/tFfAM9B7zRA3KtyD0Xuui56bzFF606+itRcNxlt+iYco7DHx wp9Ge1888ZY6f1XXTtF5x8Je8BNde6ywJ6T+VEr2Lrw/vSBBA14dz44XCjpq FfZE1P7KOvYv7AHwRjHZK+GR8EIVyV4HT0Q9S8nfHw+E1/wo2jviOcku/id+ tnCGgVf/PFoL0AR6jWnRvUqbrDcPR3sdPA/1aXp0r0pPQ1bwSLRXwjPRaz4Q 3Us2z3r3kHi/wj0lz+PB6N6SnpNa/nK0N6Cm02usidYKNAOv/UW0FqAJ9BJr xS8V7inwSlWSvRGeCS+xKLq3GZX1dGp079ssfz56YtbLxry+6EGri78t3avS s1YTr8/Pf0h+/1uD633HXP9Oyb08PS/P4/v8fPCweLdN+Xnicfl8f2f9oYfn ef1WuveslNfbbsG9Z/W8XvYMXp9kKtyvqsHrrSLrz67B+kOmw/2uEry+Ns/r tW7w+tg+r899gudr7+wPLgien6dkf3Nu8Pw4I/uFC4Pv/4V5fl8TvD4G5/ky NPh59M/6ennw8+uX9ffS4Pl1bp5/lwX7jW65fp8R7E+65vreJ9i/dM56fnpw b9kn+4WBwXp+cvZf/YLnNz0Vfq1vsP73yH7knGC/0SX7l97B+kkmxnyoHLye 6RnJ8q4N1jcyGPR8x2C9x/Mz/7cInq940EHoRbBe4WkvZj0Ezz887aXiY4L9 zFF5Pp4Q7F/a5HrSLdg/tct+qXuwvtGTki0cHKyP9IT0gkcE1xd65m/Rg2B9 xINfxHoN7m3pcSuVzhDRe3oyeudWwfUAj30B6yXYX7XO669rsL+lx8Ov9cx+ uH32Zz2C9Z3MkfW/VbA/pmfET54cXD/IKNGPLYP1n54Kfdg+uJ6QGVK/dgj2 my1yfTou2J/Sg9BrHxvsN5vnetYx2I+2yvWhS3D9b5nrQ+dgP9k015MOwX6U noUsoX1wPacnuUTcNli/6AeoB5Xy+ns+3/++uT6Q0eEHgn6eqLHPde0+vGjh /umT5P5kSGGfSMZJtolfvKK03+d5FaWfFf3MVaWfGfnyR/r/l5TOHwaJf6LG oe2FP/vH4htKf4edxW+LzxafxBwVL2XNiruJ64tXiwfhJcQ1xG+JzxKfKK4p Xi4+p3S+tZN4mfhM8QmsWfHP4tnUqsLZ0qLcW31eOksiU9LLirWl822+I9+N vPtetE/nm3T+ReFsu1qFc0zyy/nBeQ1ZcFk6TyWjIZshjyHbI+MjS/1a1yZS u/Xz78L5N3kymQ9ZD3k1WRmZWQXvVzr7IwOsJP6ydLZGxlZZvI76oPNV+llF x++69mzwOmG9kO/W0+f9UP/nYrxb4XpIBocf4yaQ972ZnB+SJ7JWVyTPFebM +eLvxc/iJcQDxN+Jn8E7oLniH8QzS+dF5C8/JudH5GloLXkMXgLNRUu/Tfay aCpa8Vlyb4VmHC/+n/jO0v072knegxdGQ9uKP9X46NL9Otr4RXKvhkaSD61J 7v/JA7qL14onlc5z+oq/ET9eOp86R7xe/Jh4WuH866vkfGkKNUf8nngg3pQa Fp3f4c3waLXE71AzxKeK9xK/T42hFov3Fn+AJuONC+d/q5Lz1d7in8QrxQNK 560nJO+3nCc+TdxL4+vwHKXzrtPEX+I5xJMK1z7yOnpjauBZ4q81/ijrtLCW kIfgNdEUaif5Lt6WGkq9fk7XuhbOjKlPn+X6QQZKVlIt2U+SmZAtkTGxtnYP zobIiFi7ewRnQ2RErM3awVkTmRPZQc3grIrMirVdK9hb4jHZa9oreG2zxrlX +wevZdY093K/4CyETIR7vXdw9oS/YO3XEb8u3ib63tULngvMif/unXh9dL/C Wv6ycK9Gz8bey9jg3pIe833xmODekx6U/ZpZwdkGGcen4ruCsxAykc/EE4Ln A3tmaMd5hbOwqsn+iUxsE+snOuv4t3C+vVj/7/PCezisffbI0AY0gNq4f/Tv QnPRRjSSubhvcDZDRsN+yqTgtcSaYq6fFKzlaDpr6fjgtcUaY+6cGryWWFNo /4nB2oxGs7baBc/9urkeHxo8V5mz5NPTgudynVyPGwfP/b2yfzgsWEvQFGrB QcFag+Yw1+sHaz81AG06IDirJ7MnW9w2+P6RKR4prh6s9Wg+teDA4L0J9iiO p5YE9xdkjGT/1YL9NBkke2mbBe+tscdGllYjOBulnpNtbhc838kIyVK3Dt5L oDjQ++wUnL2SwZKtbhO89mvl59MwOJsho/lIPD44yyHT+UR8Z3B2QIZAdnFj cLZAxkC2cUNwVkFmQXZxc7BWoplkD5cEaxmahladFax9aCBadnawNqARaHP/ YK1D88gyBgXXemo+2sCeMNkHGQjZ0vBg7UBDqNUXBWclZCZkTcOCswoyC7Kp EcHaTw0gO7kyWPupAfPFVwWvRdbkaaWfEbWYmky2NCS4llBTyGauCK411Byy mcHB9e6O6HyDPSWyGTIasqHrg70FHmOR+LrgbIWMhexxZPAiIhNardNxwVqP 5uMFLg7WejSf2jUgOJ8cTY0vvceKXxgTnX/VyH5hbHTexh4U3nROtL/7r+bq fD8dFaX3XPGm5BfUdjwqWR6Z3sc6vyM46yLzWiUeHby29oh+LWvsF53voyOV 3mOmFlATqMXnBfuFcdH5HXts7L/XjvYi7BHhPckr8QJ8xo1oWbRX2FA46yPz W6nz2/T7/uXZRHu9yniK/P3wMux587cDP0d/Fva98UJ4It5rSrBWDqVmFtZM 9n7qJ98L9oDY60PfyCfZ86M2UiPpP5oGa9m20X87gKbh/fCA9B/Nst51TZ5L ZNLMrRrJ65k5hr7snFxv8DTUlx11HFs4w0A/aybXOzwm9WbX5HqGp6S+7JS8 3sncmR+NkusHngD975Q8/8m4eR4Nk/WUGk096Jw8/8jIWU+Nqd+FazJ52Qod WxT2ltSfDsl6QGZIvdsluT7iYamv2yfrYfdcf7dN1if2eNC/rZL1jT1a6us2 yXkVe0Lo7+7J9RFPh37WSq7XeGbq5w7J+keeRb3eOllv2SNCn3dLrud4dOr7 dsn6xx4Qerplst7yNwvo5RY6mhfeg0XPqyfvVbEHi95unrxfQb6CXnZM1jsy bdbHccl6Q+aNfh6frE9k4szXY5LXOxk166ddsp6QGaOvrZL1cm7WiyOT1zuZ LnrbMlkPyXTRn6bJeRaeFv1tnZzHkBmjJ22T9YzMFv3fLHl/hT24F4LX0yvi V0vrZZtkPSNjRi+PTtZHMl709qhkfSNzRt8PS9ZvPDF6fWiyvuNR8R89k/WO DJz1RP9M79QieD02yPX18eBsnz1x/raH3o29Ff6mh36bPRZ6AXoC+sXDsz4e m5wPkpnjf9on1yMydvSySXK9wCOjz4cn1xd6AvS+ebJ+4vmpB82S9YmeAL0/ Irme0IOh1y10zCzcE+JH9k/en8Hz41/2S/YfY/L9vUGf993CvQ5+Zp/kvJce Ff+xR7KfwFPjP/ZM9kd4cHrResl+gZ4Ub/1D9o94bOp37WT/iYfH79RJ9vZ4 fu7XXsl+9OKsV3WT/ehF+fc3yPe7eXC/Nj56v4W/2cBf7atjWOGehX7wzuj9 D/7mg7yTPWDWR8r+6sRk/aMnQP/2TvZH9MDobbdkf0sPSr53V/T+Cn+Tgt89 INnv0QNR7w/kPQv3+PiDQ5L39+gh8BMHJfs/eiT8XwMdVxTu0fEXByf7SXqs /wO2aAU7 "]], Polygon3DBox[CompressedData[" 1:eJwt12W8VVUaB+BzL53SKd1KClwaVLodWnKGlJIOBQEllTIoBxERUCwMQEBx DFAYQEqkJHXGHB0VR4xxnOf1nA//31rvs9bZZ+99197r3HKDx3W7Mz2RSLwk WSQ9UyKRL3MiUQIOTEskurAB7KKMYpvY4+ycfpp5/1E3ksrsO5ad5dJ2Zc3Z r/p5WCFtH9aWFXes0qwWm8SGsTSWlxVj/Vkn9r1+NpZT24U1Y/3NuyAj2Ua2 jl2nLmZeFTaa9Wct2RHpxpaweexkXKh536hvkjLK7uackb8YW8tWsKv6OczL rb2NtWA9zDkrg9ljbCXrqT4nQ9g6top9qZ/FZzNr27EM9pV+VpZF2541YK18 7qh0Z0vZfFZQXcK8amwsG8R+0c/NCmp7szYsm3kFWBk2hHVnOVlhVp4NZ71Y DlaIlWPDWE82mF2ScewZtpF1Udc0bwDbnPr7ZmcFWVk2lPVgB/Qf5v9Ql0j7 41Ymuqpr6Qw09hRbz4awyzKePcs2sYT6OvOKswGscxDLz0qyQawrK8quZzXY BDaE5WNFWWU2ivVjzdhB6cQWsFksv7q4eVXZGDaAFWElWXU2ng1m5VgvtoW9 FeuYN2EHpKN6vnqmeUPVV2QCe45tZrnURXy2AhvBerOf9XOxAtperDUrZl4p VpNNZENZa3ZMerBlbAEbE/dTprNX2AusjvotuZXNYBNYJXVFx2vE7mETWUVW gTVkM1PzqrDKrAmbzSaz0qwcq8ems9GsJCvL6rApbASrzCqxxmwWm8Rqszfl FnY3G8/Kq8ubl5Gycawaq8qasXvZVFaXvS2tUuccx5uo/qfMYrvYNjZJ/anM ZrvZdlZfvVfapK5jCqunfkdap84vrq2quorvbcrmpOb9wKqx5mwuu4vlZbvi +lg/1pGVUr8mN7GRrC/LUO+TtqnjxXXUVL8uLVL3bwwbpf5YprKX2HOss/pD 6cdWsmWshfpG59KVrWbLWV/2kYxgG9ha1k99Xu5gT7LH2Gj1JzKNvcyeZwf1 V8Q9VJeWrKyEuozvqG1sMhvOGrEbWHv2IFvEZrDPZEGse7Yn9eyfkv5sVer8 rqq/l61sKhvJ2qprOF5vtp6tYe1YddaLPc5Ws5/0c7L82p6sFfvGvK8zJZ/b eH43Guuo/kBu13+ELTHWQX1C+sR7hi1mbdTHpSdbzhayTuqT0jfuBVvKDsU9 j3WkLivZ2FG2hn2priq52H72UNxXdbG0P15LiWmxvp3zXGOH2H42ld3M7mMH 2XtscqwBdi/7O3s3dU9bsoXsKDvE7ok1yu5nx9n7bHo8z2weO8wOsC/0M7NM 2rasPpsZzwtbxI6xw2wKa87msANsH7uDNWJT2BtsFxvGGrBJ7HX2KsvKdsS7 iHVnLdlwdYZ5E9lrbEdqnR6WLmwRm8N6q2ubN5Q9z55it7L35U9sMZvLRqgb mjeZ7WE7WS9Whw1jL7CnWZ941thwtpVtYQViD2Tr2RPxmyP1zt4dz416cGp/ 65Y5uf/EnrM29mC5Fs9e7Cva1ubVM/aj/ossr7YVq8v+HefAsmubs+qxJuOa WDZtM3Yj+zre8yyrtim7IbWeX2b5tG1Sf6OesS+yr/Q3803ybVwTy6FtYV4N Y9fU72VKrtlYuzuN/S7bYz/TdmZNjf1Pf1vsK9pOsRexPOqd8c5nfVmH1F7R 2Hffxd5OPb93sqZsBtvL/sbGsibsbvYOe4ONY83YTLaPvRn3lJ2WP7O/skfY b7EPscLxjLLGqXX6LEvXNkxL/taL6+/heBti309P3ove8Xsw3h36r8S9jPut PiSd9Rf67GxjD0Rt7kp2gX3EGrP90oHNYzPY8Tgv9q/4m0kedp/6c1lqbD/b y67EObBf1XXivcgWx1r2HauMXWTn2e2Zk/t87O3b+Q75WDLx38y5RWoZ+5Q9 bd7v8feWCux+dSfzVhg7z86xY/qPxjqItSK52ZF4z7Mv4j5JTrYsnheffdTY FXaJLWW3sTXsMrvIlrCubDW7xC6wBXFP2EPsLDudSP7+e1VKsx6pd+xcdTvz lrPT7CSbx9qzB9kZ9iG7rL+Z/xLXKqXY5+wZlqZtwCqxz/S3xMtRm8EqJpL/ B9R1vNGxXlO/VQayemxMrGu2lQ1i9dnYuMfsxURyXeyJd2o8T+nJNdLHnB/Z Vf1t8YzGvq5uwx/QP+GzR4w1YO/G9aUnf1tMY/Pj/W/e7niHySk2O/Zttlj9 gXlH2Sf66ey/6pulJjsb75r4XnU5KcIuxL7LrqmrSQl2kW1kP8X7QUqyS/G8 s5/jGZfr2eHYO2NvVZeX7Ox07Insu7jHUoidYGtjL4zzkLzsFFvHvo3jS8FE 8n+rDeyHWHtSlJ2JfTeeLXUZKcwWqju6toeNnWNn2P8B3Jybkg== "]]}]}, {}, {}, {}}, { Line3DBox[{275, 1, 271, 227, 710, 16, 724, 31, 739, 46, 754, 61, 769, 76, 784, 91, 1021, 255, 106, 261, 813, 121, 825, 136, 840, 151, 855, 166, 870, 181, 885, 196, 1017, 247, 277, 211, 273, 264, 470, 212, 471, 213, 472, 214, 708, 265, 215, 473, 216, 474, 217, 475, 218, 476, 219, 477, 220, 478, 221, 479, 222, 480, 223, 481, 224, 701, 250, 278, 225, 274, 266, 912, 210, 898, 195, 883, 180, 868, 165, 853, 150, 838, 135, 1023, 263, 120, 260, 811, 105, 797, 90, 782, 75, 767, 60, 752, 45, 737, 30, 1002, 230, 276, 15, 272, 253, 304, 14, 302, 13, 300, 12, 298, 11, 296, 10, 294, 9, 292, 8, 290, 7, 288, 6, 286, 5, 252, 284, 4, 282, 3, 280, 2, 702, 251, 275}], { Line3DBox[{710, 1001, 482, 709, 1115, 913, 711, 1116, 914, 712, 1106, 1117, 915, 713, 1118, 916, 714, 1119, 917, 715, 1120, 918, 716, 488, 717, 1121, 919, 718, 1122, 920, 719, 1123, 921, 720, 1124, 922, 721, 1125, 923, 722, 670, 924, 1002}], Line3DBox[{724, 1024, 1201, 723, 495, 725, 1126, 925, 726, 1127, 926, 727, 1128, 927, 728, 1129, 928, 729, 1130, 929, 730, 1025, 1202, 731, 502, 732, 1131, 930, 733, 1132, 931, 734, 1133, 932, 735, 1134, 933, 736, 1135, 934, 737}], Line3DBox[{739, 1026, 1203, 738, 1027, 1204, 740, 510, 741, 1136, 935, 742, 1137, 936, 743, 1138, 937, 744, 1139, 938, 745, 1028, 1205, 746, 1029, 1206, 747, 1030, 1207, 748, 1140, 939, 749, 1141, 940, 750, 1142, 941, 751, 1143, 942, 752}], Line3DBox[{754, 1031, 1208, 753, 1032, 1209, 755, 1033, 1210, 756, 525, 757, 1144, 943, 758, 1145, 944, 759, 1146, 945, 760, 1034, 1211, 761, 1035, 1212, 762, 1036, 1213, 763, 1037, 1214, 764, 1147, 946, 765, 1148, 947, 766, 1149, 948, 767}], Line3DBox[{769, 1038, 1215, 768, 1039, 1216, 770, 1040, 1217, 771, 1041, 1218, 772, 540, 773, 1150, 949, 774, 1151, 950, 775, 1042, 1219, 776, 1043, 1220, 777, 1044, 1221, 778, 1045, 1222, 779, 1046, 1223, 780, 1152, 951, 781, 1153, 952, 782}], Line3DBox[{784, 1047, 1224, 783, 1048, 1225, 785, 1049, 1226, 786, 1107, 1227, 1003, 787, 1050, 1228, 788, 554, 789, 1154, 953, 790, 1051, 1229, 791, 1052, 1230, 792, 1053, 1231, 793, 1054, 1232, 794, 1055, 1233, 795, 1056, 1234, 796, 1155, 954, 797}], Line3DBox[{106, 375, 107, 376, 108, 256, 377, 109, 705, 258, 110, 706, 259, 111, 378, 112, 379, 113, 380, 114, 381, 115, 382, 116, 383, 117, 384, 118, 385, 119, 386, 120}], Line3DBox[{811, 1011, 1010, 1287, 810, 1244, 1064, 809, 1243, 1063, 808, 1242, 1062, 807, 1241, 1061, 806, 1240, 1060, 805, 1239, 1059, 804, 567, 803, 1238, 1058, 802, 1009, 1237, 1110, 801, 1004, 1020, 1290, 1108, 800, 1109, 1236, 1007, 799, 1235, 1057, 798, 1286, 1006, 1005, 1021}], Line3DBox[{813, 1012, 1065, 1288, 812, 1156, 955, 814, 1008, 1157, 956, 1013, 1111, 1158, 1022, 957, 1014, 1112, 1159, 958, 815, 1160, 959, 816, 1161, 960, 817, 579, 818, 1162, 961, 819, 1163, 962, 820, 1164, 963, 821, 1165, 964, 822, 1166, 965, 823, 1289, 1015, 966, 1023}], Line3DBox[{825, 1066, 1245, 824, 1167, 967, 826, 1168, 968, 827, 1113, 1169, 969, 828, 1170, 970, 829, 1171, 971, 830, 1172, 972, 831, 1067, 1246, 832, 592, 833, 1173, 973, 834, 1174, 974, 835, 1175, 975, 836, 1176, 976, 837, 1177, 977, 838}], Line3DBox[{840, 1068, 1247, 839, 1069, 1248, 841, 1178, 978, 842, 1179, 979, 843, 1180, 980, 844, 1181, 981, 845, 1182, 982, 846, 1070, 1249, 847, 1071, 1250, 848, 607, 849, 1183, 983, 850, 1184, 984, 851, 1185, 985, 852, 1186, 986, 853}], Line3DBox[{855, 1072, 1251, 854, 1073, 1252, 856, 1074, 1253, 857, 1187, 987, 858, 1188, 988, 859, 1189, 989, 860, 1190, 990, 861, 1075, 1254, 862, 1076, 1255, 863, 1077, 1256, 864, 622, 865, 1191, 991, 866, 1192, 992, 867, 1193, 993, 868}], Line3DBox[{870, 1078, 1257, 869, 1079, 1258, 871, 1080, 1259, 872, 1081, 1260, 873, 1194, 994, 874, 1195, 995, 875, 1196, 996, 876, 1082, 1261, 877, 1083, 1262, 878, 1084, 1263, 879, 1085, 1264, 880, 637, 881, 1197, 997, 882, 1198, 998, 883}], Line3DBox[{885, 1086, 1265, 884, 1087, 1266, 886, 1088, 1267, 887, 1089, 1268, 888, 1090, 1269, 889, 645, 890, 1199, 999, 891, 1091, 1270, 892, 1092, 1271, 893, 1093, 1272, 894, 1094, 1273, 895, 1095, 1274, 896, 652, 897, 1200, 1000, 898}], Line3DBox[{912, 1019, 699, 911, 1285, 1105, 910, 1284, 1104, 909, 1283, 1103, 908, 1282, 1102, 907, 1281, 1101, 906, 1280, 1100, 905, 659, 904, 1279, 1099, 903, 1278, 1098, 902, 1018, 1277, 1114, 901, 1276, 1097, 900, 1275, 1096, 899, 696, 1016, 1017}]}, { Line3DBox[{280, 483, 1115, 281, 495, 307, 1204, 509, 321, 1209, 523, 335, 1216, 537, 349, 1225, 551, 363, 1235, 564, 376, 575, 1156, 388, 586, 1167, 401, 1248, 599, 415, 1252, 613, 429, 1258, 627, 443, 1266, 641, 457, 1275, 655, 471}], Line3DBox[{282, 484, 1116, 283, 496, 1126, 308, 510, 322, 1210, 524, 336, 1217, 538, 350, 1226, 552, 364, 1236, 676, 677, 565, 377, 679, 689, 576, 1157, 389, 587, 1168, 402, 600, 1178, 416, 1253, 614, 430, 1259, 628, 444, 1267, 642, 458, 1276, 656, 472}], Line3DBox[{284, 667, 668, 1117, 285, 497, 1127, 309, 511, 1136, 323, 525, 337, 1218, 539, 351, 1227, 671, 672, 703, 1290, 673, 678, 674, 705, 682, 690, 683, 1158, 707, 692, 693, 1169, 403, 601, 1179, 417, 615, 1187, 431, 1260, 629, 445, 1268, 643, 459, 1277, 697, 698, 708}], Line3DBox[{286, 485, 1118, 287, 498, 1128, 310, 512, 1137, 324, 526, 1144, 338, 540, 352, 1228, 553, 365, 1237, 680, 704, 681, 706, 684, 691, 685, 1159, 390, 588, 1170, 404, 602, 1180, 418, 616, 1188, 432, 630, 1194, 446, 1269, 644, 460, 1278, 657, 473}], Line3DBox[{288, 486, 1119, 289, 499, 1129, 311, 513, 1138, 325, 527, 1145, 339, 541, 1150, 353, 554, 366, 1238, 566, 378, 577, 1160, 391, 589, 1171, 405, 603, 1181, 419, 617, 1189, 433, 631, 1195, 447, 645, 461, 1279, 658, 474}], Line3DBox[{290, 487, 1120, 291, 500, 1130, 312, 514, 1139, 326, 528, 1146, 340, 542, 1151, 354, 555, 1154, 367, 567, 379, 578, 1161, 392, 590, 1172, 406, 604, 1182, 420, 618, 1190, 434, 632, 1196, 448, 646, 1199, 462, 659, 475}], Line3DBox[{8, 716, 23, 730, 38, 745, 53, 760, 68, 775, 83, 790, 98, 804, 113, 817, 128, 831, 143, 846, 158, 861, 173, 876, 188, 891, 203, 905, 218}], Line3DBox[{292, 488, 293, 1202, 501, 313, 1205, 515, 327, 1211, 529, 341, 1219, 543, 355, 1229, 556, 368, 1239, 568, 380, 579, 393, 1246, 591, 407, 1249, 605, 421, 1254, 619, 435, 1261, 633, 449, 1270, 647, 463, 1280, 660, 476}], Line3DBox[{294, 489, 1121, 295, 502, 314, 1206, 516, 328, 1212, 530, 342, 1220, 544, 356, 1230, 557, 369, 1240, 569, 381, 580, 1162, 394, 592, 408, 1250, 606, 422, 1255, 620, 436, 1262, 634, 450, 1271, 648, 464, 1281, 661, 477}], Line3DBox[{296, 490, 1122, 297, 503, 1131, 315, 1207, 517, 329, 1213, 531, 343, 1221, 545, 357, 1231, 558, 370, 1241, 570, 382, 581, 1163, 395, 593, 1173, 409, 607, 423, 1256, 621, 437, 1263, 635, 451, 1272, 649, 465, 1282, 662, 478}], Line3DBox[{298, 491, 1123, 299, 504, 1132, 316, 518, 1140, 330, 1214, 532, 344, 1222, 546, 358, 1232, 559, 371, 1242, 571, 383, 582, 1164, 396, 594, 1174, 410, 608, 1183, 424, 622, 438, 1264, 636, 452, 1273, 650, 466, 1283, 663, 479}], Line3DBox[{300, 492, 1124, 301, 505, 1133, 317, 519, 1141, 331, 533, 1147, 345, 1223, 547, 359, 1233, 560, 372, 1243, 572, 384, 583, 1165, 397, 595, 1175, 411, 609, 1184, 425, 623, 1191, 439, 637, 453, 1274, 651, 467, 1284, 664, 480}], Line3DBox[{302, 493, 1125, 303, 506, 1134, 318, 520, 1142, 332, 534, 1148, 346, 548, 1152, 360, 1234, 561, 373, 1244, 573, 385, 584, 1166, 398, 596, 1176, 412, 610, 1185, 426, 624, 1192, 440, 638, 1197, 454, 652, 468, 1285, 665, 481}], Line3DBox[{304, 669, 670, 305, 507, 1135, 319, 521, 1143, 333, 535, 1149, 347, 549, 1153, 361, 562, 1155, 374, 686, 1287, 687, 386, 694, 1289, 695, 399, 597, 1177, 413, 611, 1186, 427, 625, 1193, 441, 639, 1198, 455, 653, 1200, 469, 699, 700, 701}], Line3DBox[{470, 654, 696, 456, 640, 1265, 442, 626, 1257, 428, 612, 1251, 414, 598, 1247, 400, 585, 1245, 387, 574, 1288, 688, 375, 563, 1286, 675, 362, 550, 1224, 348, 536, 1215, 334, 522, 1208, 320, 508, 1203, 306, 494, 1201, 279, 482, 666, 702}]}, {}, {}}}, VertexNormals->CompressedData[" 1:eJx0enk4lVH3NplCEsqcJCQyRiKsQiNCSUkhhSSKUIoSiZBQVKIoGZMGVMjO PGWeZ87hHM45KEQUvmfX+/vnvd6vf/a117WvtW/73Hvt+149G+0vHnZYwcTE xMXGxMRCjFTzfKUvkt2waeuqS18kaWDDbvMOz+vEBcv9fFog9/GWa28N6BDV fLjorUEPOL1wfrlJuArqab/15MUZIHZUP0hevBd8l7zXuBx+C5sCG4/pRjJA db3Wc93IXtjS1uPgevgtCpYKP4LjoYUzcTh+bI34V2nhKuRrX6WG82R8W+2D 8zjprzl4w6cFtbvJO+F9A9OOZOJ9X9/nTCJwIYM7ylYY5x67W3EY57EPvHva KAPIPoZtxe+GUQi4y7Prd0Mn1LCF9mk7khD0F51pP0+FmtkDz9rPd8AfpVrN JfdhlLYxyO8pKwXoKZE5T1nbYaxUZMtKaQqy46p+tSVjGJY9PLq2ZLTCmydW 06GhVNSnEja58gwZsipXSHKeaYGs7BfRZe9H0YrPW58NqZHg5nhm7ZBaM1hK S1hvTxtDeS5yXfWiQ7DLnc7SINoESka6Ohe+9cJDngq3HdmjoOCy8xueS+xG Oodft4G7y8fUP8w0KI/J5k891g9CthrByay1QJMtlnvFSoeNtcavXYIGQM/f Nlr99HvIEBWvb4yiQ4FOpTHvukEglx2X1zz9Hj3gnK7CcceEsgM4bq9zsfQV ay1iFl0hivNoRwk/xXmSnKXqiH3RQteeKLxvrYv/rxRi38LAphwCF6IkhFhg nFHnnmVhnPuTlaz4HYfQE5EHjBI1KjxY43siYk0PoB9eoWZ9ZOSY7H8rIXME hqz2cezY3wUW7gVwqG8E7bzXvrtIaRhESLXq/WEdYLU/grz7GhVpKxrHq1eR wHmT82T0WBvYwl1Fk8pR5Gq1q+653xD4mRiajji1Qm7v4diu1jFkyjJ49K7Z INjy97kmrmyBqjj96wZvaeiDAse8sX8/bGFSK+moaYI/cc5SQe0DEDIQw173 hQJlmnHFeJ7vJuZtqd8JqW76DZb6oxCtu+K7zu9BoEhsfpscXg/ZMoK31L3G YPbUqqPczUNA2RTr/IeSA8N+Wqcw31Z9+GopcZAENZmh1suUHGSnT7HE8VCd I4dxnP+K4bqU8Ho06Sh+EecRl7myH+d5X+zKf0y/E01OceTiff+IpPThffuO qSUSuJDyD86xbwTOK3k6jzHOmcIWzuuLJNRhUT6XLDIChUs/UkxC+2DkWOVH rgsjyPVn5KyfDxm2cTs+x/dCKl2wYfkIFZl8SbHu/DEEQxB3wn5DF6TtToD5 plG083280++wQdB5J7bNTr4Dfty2eXRwaQxpVaa2P3jYDyv0T5swn2uDn2ef x2gwaGjGiYcxY0ncw0APt6vtLVDkErXCI4OOcsKf3FO26oYny1VeSe7NYLH3 WqzNkyGoNDoQvSQ+DH8kfSbwfL1lDM1Ptwf4NcUu19aMwN753+oefGQ43ZI+ uMK+CWaK7+VZKVLhupNizpt9w7CwVsObaeEjnEveIbdigQrVzB4iJQvDcELr 2QDLwke09YefJI6Tk9/w4/j8YGoqi30TivntkoTzfO7KTsJ5LCRFHt7Q7UG9 EGuB9515eFgM72tfHtZO4EJvtVguY5xvXGWaMc6yJsEPJ7OG0YOK0m8ap0lg Fj+4E9+XQirNuH4FFRnqHmvaUTgI0d5vCs4c6IPmwzMJReWj6HVrv4KWXz+c N2szjs7qBpLRSp8aMRo60pRjZdfVAwqvt4ar23SC8BDVoWcjHYWE7e/Ye7cL 7t2ZUJc43g7UfK9dsuN09Ip7cfno7Q5QChLwrH3QCnrCRt7fwxkIlS+u//i1 DTQrYtwwzw2HIlXLrMjgcyidXTB2ECQ/mUfjeXT39K3SgH7wOcwd4XWIBMxx l+3uWo9AA3Vnycu6Fnja9FUjuY4MBatpcjGiVGiIfPOKHlcADeovldVyhuG1 eqZ05OZR2JYYcn8yrgCFLWZsxvFovngRHBduYHqeXNeC0is0NuA8NZTxVThP 51HnbWUB/UjR6uZFvK/L89078b7nlxLdCVxovXoOdR2B0/RezQWMU/fJDRGn ExTUnx4Z0l/XB4Y63/8U2w8B51xUhOOdUbS18H7nluJuOO3asvnd9gFYqz+p v1mUhtT2BK6TFu6Esi0m9vhd0Dmp77HegI6CTZWfHWxog0lG95EO9y6gCEOQ wkYGCqivT1PsaYGLPmbKmOdOglo+MjUMJO5XtKNVqRmshqy8X2xvg/7Hcs+n jceRDk1sendRI9iyngt+EdICGaNXSosJflntHdNasdABIR9ObcV84+Q+Qb7f NwibEjVqRP50w2BoX1NsPBWGqPPb6szbwftBZIJTSR9sMLr2Q5SLBmY/l8Vo AQjchWtMGAED4Eeh8t+PpsNCws3IiQCETA7o6eA4f9Q9Fhz/vrdBtt68HfEX 7XPDeRgZ0zU4j/+6NIjsG0Qyg4X38b65+S8T8b522QErCFwoKmT9CoxzaMlg EeOWM1NtKW+joskPKWu/KbeB1IxAZfNdEiTumhY+2jCGRC0OMh8tbwajYqHI jAuDwGrc6turSkdmAT9qdxQ2AnhfysU871viFihVZqCPD2eHG9bUg6zmW5W8 Q93AMMkx+jbGQF92Xa9y2F4LhkUUsycNHUDVqY1S8BpH597PO3jVV4HuPvpM Sk4bRFiTjxQPjKOuV1oWvSUVMHDkCtMtWgucXan7kaJIAYdz1d0cVtUgFS4l SyXm54aZdOrXk6D0+oMgvz/f4IzBZ5mJk2MwR9pUdMi+E/ZT6xVCdzdC/Otj m997MKDhS92jzS7FcJg7qUrOpQluPzT4Gnx9AqQV1q2SdylG5ZYVhThu3Hk7 E8e36vV/NbXvRPbcO7lxnrUrImbeEXnEQ/c+IfZFjfq7dPC+jXGWo+PEvh/2 N04TONEJg97HGOevesMJjDv0yFOejUOjSGDpspfH+gpodo9yxDwPmOK7aZtN Q1mdMbDnXCkUD19rwnVew2doQxidjv5cUe7yVSqGmDO0nhN8/eCZwaHfXc1A B0rc2rbmFoG4tmNkcH83hPHqd4ecH0cXY1w/3s8ugANHJVieaXVCmqJ76Juh caS0pVuyfctnOPH4/musWww2WlHW6Uygars3f9Q5PwK9/dvH1XKt8OvNuOKz RAqsrVrz/Fni3qJ/IwVS5RRD/Z8Q765S7aIo18GifyMNkj9YPfil0QX0Ux8W XzibFP0bx+EUhYksKFoCmcZx8RlZpkX/xknY2vbDTUS0BK15bx6E4//GSdAa P/V0XqML3VWULMd5/o3jwPrwLJXYF9mQNArwvv9GGjw2PeJM4ELLmzPPYJz/ Rgokbb0fZas/hj6lGdc5vjIo+jeSAfF9PrF3mYbOpE+FrVPaXfRvHIJ15/lz mrYykISI4WDKMb2if2M/zHN/LLm8zEDr3ZhMItbsLPo39kBGpIv/bOw4sslJ uatus6Po39gJn3t+bxhln0BrDbb7cEpuL/o3toMMI2F1gvUEYvr3z/+F+Yab Arqt4G77MRfzwoTsxLbSqhrJkeOlMZ+rsuy0MZ9ZnD7kErxC3pEemzCfpcTP FGA++yOXvQQP0baLG6Uxn6c+hMVgPnPd7R4meIu+rzArxLwFezEuzOfPyVfb cHzqE28ajp+zKf+C+Xz5hsIWnEdg8ft3zGffIymPMJ/TFe0u4H1nqLwUzOey 5wenMJ8HvlwrJfiMOGURA+O2iD+0CvM5pnI5juAzupgR4YD53FjW64f5LLaX dpbgMyqTzmvEfM4XYfrL54mNebMEn9GfrLluzOc1wod2Yz5PDjhwKeYWoUb2 z/cxn12XZrown/sybBoIPqPKvv4VmM+b5bPvYj5/jzO0J/iM9F4y/eWzT4Xf CObz6uupxhqcH9HZOO2/fH54bPgrrnOielNGRN1DDlI1W3B9Fr2QP4jr8+Kz 531EnUSDe1TrcZ28T/uqjOvzzZPz74i6ilw23WNgvrnVmq3D9VnGL8ueqMPI Jmk1D67Dipcb7+L6/CdrozmO/zHKWYwg4n4HYqVwfeYNfhuA8xwKZK/Aee55 r9TF9Xm0X/Yl3rfOay4e72sqMblM4EQ7/GXXYpyNrm8XMG6V7aONuD6/vCgn Q9RnNDFgXI7r8+ZxZiFcn+NMTNYQ9Rmd2NsTgevzIPXpdVyf19VsbSfqM3Lg kszB9ZkpJZsP12f6p6ZFoj4jRyEXZVyfpx7cP4jrs9pxzQGiPqMXr3+a4vr8 3aklEtdnjpS+a0R9RmYZ6n/rs08J79/6rDAZ4ETUZyRrQFv2J+qzYFiIEv79 D5YU8hB6A5FOH7iP5730zGtYb+hsZX9EvPtIqeuENX73ryvlFGK9cSo3XY/Q CeiXnbcU1glBmiLPsN4I8LirSegKtOLOSgmsK+it2+9ivTGnsksJx7n9167F 8Z8sPXFYb/i6D8vgPHelhVbiPGX204pYb/j77vTG+5JWX9TE+yYpVrthvZF1 yXKC0BsouHDKGeOkpdkKYb2xr7EimtAbaMP0gd9Yb6wbdw/DemNAJn2U0Bto s1rXJqw3fMbMdmO9wbC+L0HoDZT/I8IO6w1VVb+LWG84WPNkE3oDsXLuMcd6 Y/jhYADWGzleAZ8IvYFSF08qYr2h9SDsKtYbAfef6RJ6A7lydHthveGa3hSP 9YagySE2/aJGxJffGYT1RlzUxQdYhwqtjH9E6FK07YIbHc+FN1+iYP3s1vDd m9CxSEhmnRrWsSyKW/uwfq6KKc8ndC+iN4i+xbpXeZrHHevnLZqwldDJqLt0 ci2+Fx2CV7qxfp4MvC2N478ct67G8Wva8slYP7s1vHyF82zTT0jAeQTWGtzH +vmFO68V3rdmalII77vLidSC9fO1Z5lXMM5wXt8GjDOhpest1s8Jx+sbCf2M 1k1LaWP9XMwmfxDr594faQRvB9G0peInzFsD7aE4rJ9PPSzZQehnJP466ADW z7zx/d5YP6sejjlD6GfEGNkciuvwI0HWs1g/e+/JGiT0M2IRt9uG9fPA+QY9 rJ8zTMkrLW93oKxjvR5YPz962+WJ9fOFF+dkCf2MxG89/+sTzXuqxLGvKnS4 w0X4QbR4Zb4Azxe1tN2xHzTp7G8mfBkqr33EwPVN8IN9OvaDK32tbxM+DsVV i5hjH5fyIPcs9oOmnXvsCN+HfNV9//q+PtEMS+wH6+OncF8CLX1ZfQjHF7n8 V2M/eOjLaQ+cpzrytiHOMxgezoP9YMLJ5E94X+20nd14X4XHUXHYD56/ssAg /CCqnH0ajXHGTE2yYz+4QPvxm/CDKEfj8gvsB6c9mHKxHxRN6Fkg/CAaMex7 iv3gtVNB37Af1J2fsSX8ILp3tv0Y9oMSLw7qYj84PtDtQvhBxMj9roJ5+7zq YAz2g881aP2EH0TPrDON/ocfRP8fP4j+zw/6UBc1cJ+gnMPFY0f2KDrG8acc zy8JBGvi/kaow2TGH2Ya0p2048b9jWf5yv5/+xvbYhResdLRfKhYMu5LnFB2 vIf7GycOfmhsjKKjJ+tc92NemVy2lcH9jT1aobU4vtf7/B4cT3zkXIj7Gys3 t4vjPJLm1Gic5+ZyfwXubxQ8l4rB+65KLpjEemBhQ/Qb3N/Y8FjxOMbZyGqb inE+pQRa4v7Gb1rVZIkacV/YLC2xTsgMlQnC/Q2hrOMhCZkjaGo8kAn3Ny4d Gd+J+xtGTZv3FSkNo9i29yq4v6HkxjqI+xv167KT1KtISCxLjIH7G43SxvK4 v+HP+6z5ud8QogQ8Mcb9jXWq56JxfyOCl37yrtkgWm2wcB7zVsX+8xXc30j2 qWQ38e9H64LaEe5vaGt7K+C+15LmG3fMt6QJkTd4LhZysQT361z2Rl5/S9Qt 0Yb4fMyHM2rjz3G/7gibyi55cQZ6tln1Fq5vlyvZV+N+naAS9bhuJAOF/6cv p/t251ncr2sd22OB4xK+4o9xXDHxeSHu17H6/dmG86g9X/TEefh8g/fifl1d 5kpnvK/BvF0K3nf2SnkC7tdJRTedwDgj9+s+wjivT6br436dtYY+y++GUcQr r6KH+3WsLgI9uF93fdHbsf08FR232/wU9+uCPthq4H6dsKyL/1NWCnK+/fMd 1gnFHTWyuF9XxvMtbUvGMBqlH+zA/brjcSo/cL/uYGj81MozZFRvs1Pif/Tr 0P+nX4f+r1+3TlN4ehPhPzeYJwDxPsAWF6lw/PdWsz8/U3O+B+LuJK+87DUG 5xZzGHjeYcz/NGjschHtuWEGoUNhSuENK+Z56GJ9UHzRGJJbtTFzpGAQJhSs XruyNcPB0z1HzivSkNShDTk31AfhNdO6w/GXmyDIQEdBNiSwyKfcdxWho+HC piIy1s+8ncuGRziDiqRGxjmFCT0+3sYXjfW2peYZLuzbP4ufujlOvLcqAZt0 8HvKwtuohf2PzPN7H+UIXRn5+UwN1o1/zpxKc2MUQ06+f81FYozUClYuOzUJ tVWOO/D6Y1utVmwh9Gb0DXolXk8qj3DYQuhOrTyuVJynP0Yu8a+fWso1wHg4 53fvIvCg0xIbIzEen6Gos3i9yrJDD7EebWN3e4bXBz651uWnMIHW3LlSUyOV BldiVBvdJdogOOYoJ8bv6VIwS+BHPN9HtTH+CxUtKRjn9eDTQpcYxSjeoX0r xvll+9hWd2I+sCT4m8CP1q+oEMTxwe3ScvjcDvRqS2H/8dFp3QA+N5Ybkn/3 /S5K2V8rlYa2B0w14H0bDlZO4N/3i/Xc3/ff6ZhIMP59875P2eDf81a0HDfx +yI96spRPJe2ocXi31dcfD4T+4yF78eXcD1RD2YNwL/vutnX74jfF63tepeO f9/aspnHqtvGUE3xvv62l0Po2JlfbO0vm0Bem0I/PNoOM9+nzuR9pkGMVmlK 3uduGGiznLxU5VH08cSljzLPGZCrtbQk87wXWHv743CekF6NHiIPPL1syoHz jOhKFrx1u13kqPoolyOmCb5Nx1LqyiZgd6Bo/oFACgRzdlxOyP8MgrMZ8geJ +dmNV5XwOs2Q4fm6skNF/8YJqCz6o4jPM/Pi3nLMhzUqacL4PHOWiX8QVBSB x2XT/4yTYDiQd3JlTBOqXs6rx3n+jRMg7JjK/v7IBDJ5xvZJVSwVnhiVSn3T bAXnZrHPGI+QsyGZwIO097zegvGYcAl9wvi5Gx+1EbjQyoesJJznd96Ov3ny My5aqYmloju3fP7m4d9LHcXnlvfb24E4N7TGw/AlPrePUUEMfG4nNwR+Is4N qWz+sIDPLXtJ1wzfr6pd8fnE/UL6a1+b4vt1eW2H7N3NXSAlFC+0fQMNGkVO ryQLEvf3wMJjpw9j6Nqex3srGYNw4dzi0133mmB1zA0pvP7ZnX4RYj16zf6B Ba8XkFj/CK9/ZFV8gFiP5kI+xuH1oYEvNXpLuqE7R5BNpX4MtrW4F+C5a6Km 8OqLY4iulcKIthmC1HR+4Qc2TVASGN0TFNYJV3xf7BxwoyG9oZKrA27dkLb/ sQ03fQzZLpu/t08fRI2Sweyn9jXBFee8frye4sarTayHhARp3/+xHv5vvZW3 pCref89zVw4CD6KXT+Th+W3u44IYT6VV3iSBBxVI1wpiPC769hkLD9vh2zE9 4dneMfBpV/3qubUf3nqVNlzqrAU/X3emzEk6vE7bvzdzsgdUShcDm2QbgJot RzdvoIFv9CYtjX0DsN3nIteKI4XAf2b80BbCl3LWcsVu8eiFJ6x7KuVaEDSv uOGq7EqHrHN8R+yXB4A5b/1f/n/6D//z/sP/RV6hSyF1nkWP9VgfCiTTQZL3 6K68DYNAf3TCkvVIIXIRjt+H85v6f47A+ZP29FkotCCkFJVyFuc/8vnrfpy/ /J7IqHtnLcpruzqVQeAvYTbbgfFrriz73CzbgHpKbbsxfsqNCBmM36eN1Ylh 3oqYBZx5OKTpYCxjYM4h3QPfHzdr/n7YjqRNNJjx+bjNmL/C52ObmNIRrjaA IMCyIH1xFJQzG+fTFzvhpfLtuYGVQ+jJ8asyMo5U8Deun/I37oGfG38c4q4b QjzvRwqaq6jgXWw911zVAdn2oYPpBmRUdraFLM9PgTq3Awu9qAv8djKJOL8j o0DNVEeL+xRYE8bz3OJ+O9ytpyY/3ziCInc+maovHoYDqxvfumt2gli/Wdrl QyNoJ0OSs+3ECBxjvq3XdqINinsTP/llU5Clxp7b6TfIYPJmMONSUTtU+OVy S2VRUHX3/bwe1WG4779qrEe1FYz4rYJG56mog8Qqe/wQCU7mv1ztZN0GF30k 9h9tp6J09qhP9sJkmFw0GbUXbgGxLQ6PXVeNIcZR1qWwbUPQRT/Ud5WvFeZC Zi5DyygSWUnRPctLAunAVS5neZuh6memicCPMcQ71Br6R2kQPlRoKfgONYMb T6Iy084u6L7+IeqF0ChAnKbNccLn77ZZuzYoogm+kPaXv9UYg8/LlrdjXg1B 2eeo68lcJXDMcIZZdmYMHmaEx1LlSVDewCXZ9fJKkcGYWIWMJg0OxAS31FmR 4E6t9MQrrhKUySs7J0Osdzv8JwKvX/vKvJjIj6wyud7h/M4eCt44v0fQpioC D2oRonpjPFwWXkYYz7ErOvcTn5FQ1CxbxrrDI5B3/EareVcf5HqtKtneNoxG +MU9JClk4HtBNqns6YEhyibWL0kUNO7w5vnDEBIMlMtPOk91QanbBaYewVFk 89n/fPbuIehXWJ9YItcJ59hMX5/YM4a67dMKRAm9G0AduTwV2A5vnYw/XN5J Q+OfFwqFOfpBd00RY461DSAjmvsLoYPZ2xtrWYR7Qc22X9c5owX43NSzVA17 galw9sSOpyMgY/X2ZhOVBJUU/b31Iy3wUyNY+SGZAvqd6/s2cgyD6vanORNP y2ADWeJHZhkVLKpL0gS/DYNxVZO/1PnrRSXlbgli60bhyFs9u6v8I+C+ACe/ Py1DKeISw3j9PTH7BLw+8pwye8NIC7rrVCGE889yP67C+WfUbpqrGfYiwZ2b dDAeFaMAB4wn8MnywtyhYZSiaMfjEU+C2OvcP8n7B2H9z4sGLR4UdHN0WjBm yxBUv3i8vXxlPxSeob2M3ziKEhR/Tf5IGgDFDt7fH7J64JyVAeWF5xjaTmo3 KFTug5NXvBfL7nZBxpfxp3n+NCTeShbiXOoGC6a3KvufdYDMlQP1OpZ09L3J qOoKZxeEmeWxHxhtg5Q7W858Y2ag5y57v7sbd8BLpVMUsn0rmJ8rNdnwYABy BF63Ga8ngVep4zZlqRE4qk36NBzeDtuvhImd9iND8i+Luz8KKdBy+P2zhseV sMBYkB29Mgyvq66VaQ1RwfHPpohmv5tFvDXxJvtbhoGJ/Vp8q9EovI9xvNn0 uBIF1yuI4PXoU+J7vH4mdX3YSHg70qt+ugLnP0d5eB7nX8qf/EXgQUfvdORh PO8ODvNgPA+/1VJXLY+gy6beHnK7+sGcKUrMleBzzAi6IMM8ijaXpoVMhPbA 8cgnZtx8gzD2KCapIHgMXc/Uo7uKd4HP+OXBNqM+SJoXmD/ynvCD0Yzy4Vni fbis3pVb0w2ZJ81bGh/T0bFMJZ6n69oAlVnLaTzpBH6bxRffjBmI47U2g8u9 BdqchH+Hv2mHKld+lXU9DHRJp/7GBuZm2Lh51XNT5jagKuqvdnMagq+lk5In X3VD6rvJ3rdmVBCvyPi4zrAL1iZvcPPd2gcFBRGy43fGoKXurNHH4hqYSc8w l+MZgLlH/A8DFehAkyTNTs/cKjLQUDb88nUAODjF6K+q6JAU/vHc5+Ia1C3P qY7XX3bfcR2vfySqGC9o2IXKGqR34vxrQx/+YRD533vUOBJ4kN7hExRrAo9x eGwmxvNgN8ebiJtUdH/YqLn+XhuIHO1TXNdLAuaGEKEqyzHE/Hui/PzZFjDr yk3omxuE6zVlaTnvaEhDja5VFdAER6UX8vuT+0H0LZfN9hw6KlL9FhRc1QCX 1e4NeTf0gEudXtbbKwzEZWf4Xpy5DtpuVZyet+uC4SvWnJ084+jIbpXSwIQa oOi1hbYc6AA96tjoYsA4Wlb0vXThXhU0/vRfj663wVWp/JGWFBLQFURWf4v+ BmGeHL0eTGNQeliZMurVA20OItFGpQ2wQLtwlVRDhycpHv2vHepgm2qE6Ufx Jmhmy5LfPTUOczefbc12qEN0DuWdOO7gaceJ45yNs+1jXj1o4nmUCc7Ds71z N86TveuLXmsKCTHvlSyvJfbN2tf+DO9r0KUuvy5yFH31Ibk33K2AEaNHZTGf yPBmhvoiYjcNfZi3CZsVKYM1dIufH2OHYNgtpzLAh47Gcz3lNnKUgMl7Gbdr 4YROCN9U03SKgdQ9I0Us9n6FOJGgYIHrhA9ltdnJs3IcmZRmdq+K+QIZB/rv uZC6QPxN0nr7u+Mo9Zi/tShvAexuWTyqmdUB1DH3rPPj4+hlyWygBOUT8Oil sFpXt4Gzztyt7I1ksBOoYf+QcqDo3zgGzWqmS7kWvaCUnhz28p1x0b+RAeUp qWcGp+shUypaeXCVadG/cRLYmmam8ix60UmL3aZ4/b+RATb8Jd1EfuT8MLLs PZH/3zgGguzFEvemR9HLk7M6mzgNi/6Nw6B1OUzocwwNecnunMtr2F30bxyC Zss8D9mvdKQY8JzJuR+K/o0DoNGori/9hIEe8SoYbvioU/Rv7AXGtzlpSe1x NE4aum7Bq130b+wGet91yZ8fxtHPVz2lVxs0i/6NHSBreH2MyjeBnnr2MRmf 3Fb0NHb5wBy5DUb1xYcxryTV4nQJXqHZyI4u/PuKW+0jY16lOUAFwQd0XcLF C/Ph9JqRbswrhePWLgR/0LQQQxbzR0zzlxzmlc0aFkscF00qY8NxQ7H6Fsyr T3qFd3CerORQPZxH8vQGXcyrRqOkGYJXSO5sSjzeN6pzUA7zaju3yGOCV4if 7XYp5pWN/OskzCuDtdVvCV4h9a3+M5hXjT9yKjCvTvRO7Cd4heJ+/L6AeSXg ZVmNecVJf6hB8AqdDs69g3m17NCgjXnFqCxn5Yn5gmJ3n/zLK2cujb+8Sh+o 9yN4hfgS0v7ySsHk9WvMq4n0bZUEr1DufcG/vPpg+YIb17cHh7apE/UNHVc5 24XryeEMmQ+4vq14ZRFA1B+0goe6Ede3AFWuvbi+qRS4ORL1CvULXI3A9eoq Y8M0rm8sPButiPqGYtduGMH1bXzy5Blc31br1O3H68+PJ3jh9e+XUh/h+vay 0coU5/foYczh+ub7VP4srm/zvQnzRH1DAtzcaRiPnklOJq5vrgoryER9Q/d3 /VHA9a0n9tY6XN/4Hh1tI+ob+oEs43F9o4YeTMX17fDizz1EfUOZQXqfcX3r 1y06ietbeKJXPFHf0G/LXYO4vhWXzWXi+rbZ0LKGqG9I0zTJDte35wb6K3F9 exF+pYuob+gdx/RdXN/UvsxScX3L3asYRNQ3pJ7cII7r28UrSXvx+6uX6tpP vHfoout9JfzecfH1v8fvL5OTjzTxPqIIL4VA/D62Rgs8xu9vir6uMvGeIlH5 hi/4PdXb+njrUvDNoqTYNgvi/UV5lgdi8fvreUn3Gn5/ubmrNuD1qGVfFl7f FxJ3B7+/grqHOHF++bKfDjh/VJvbNH5/3W5EfcF4cu8rcWE8Qp9iR/D72x3I 70e8v+ijUbkIfn8X4jqd8furwbrnEfH+ItiQdQi/v1+3uj3H7y8PZX6WeH/R ch+1D7+/P+W6ZvH7+4ba00y8v4jbjLkDv7/HrD804ve3bvrZeuL9RUJ2LLL4 /eW9z5eE31/hKL154v1FbUzB8/j91XimoIzf3xgFyyDi/UXWtk7P8PvLrV6b hvUhzWfehtBjSJ212BfrsT/JsfpYH3ZeSdlG6Dd0yda8C+u3WVuLt1gf+t1V +0noPaTUfSoZ670Hk4vXsD58peCWROhDdEIoyxrrw+FN88ewPlxZqjqK11/c uvgYr9eesliB9WHfrVXiOD9HWkYZzs9vHWuM9aHpjhe7MJ6oDHV7jCd8U+4v rA9j6m/yEfoQ/TyvMo31Ycp07S6sD5VOT4kR+hDd8RXYhvVhotxUItaHciTm P4Q+ROnC6XNYH167lkbG+rB3J5gS+hDVVzUsYH3oG9n/BOtDZcdHGwl9iEIH O5SwPnxk6vUN68PUb1FNhD5EP+m6bFgfXpq/exrrQ+6k9fOEPkSZWkojWB/O Ml7KY/+yGG8VQ/gFtO5C/4m/fmHGeA32LwlfE6sIf4F8pv39sb+4/e7qFexf WOJ42Qj/grxiTkVjP5Lx/qEo9i9XbSSrCf+CvPh3NGD/8rOEm4b9i7XD7gXC vyAL3bpQvJ5zZ+gX7F/grn0Ozq/qeNQD56ec3VyK/cufHfeuYTw0GfH9GA/T uFU49i+2axTeEP4FTV3oasD+xUZXF2H/kl5q6034FxQ2KHYQ+5cXo37M2L+8 kf3zkvAvqO20OAP7l4TDC4vdhH/xral0I/wLMnnyKgH7lycCazOwf2E+3YsI /4JejVHcsX+pKip7h/1LgI5GKeFfENn6Ov1/+Bf0f/5F9Tj7K9yXGEkKECN8 N/ppzPwZ++7tnGt9cf/Bt5BvgvDv6KT/RlXs30mi7UW4zxC2XuaSsisdGey+ eRD3ARTGrp/H/YT7Wg9iBZLpyFZnaifuJ+hbuxnjvgE908QJr5+KUtqF12ex mb/D/QFFiYt9OH/tPoX1OH/y4j1V3AcIuMDNhvEURfbEYzwnRmpmsN9XNvki R/h9FKHqMIH9/pGgzh7s6yM6P40Rvh5t6ZCYwb7eac29ROzfhfYG/iL8O8qf Ksj8698PzuRgnx6jlHiX8OlIuG1rKvbpWd30W9iPv0p1VCD8OOqWesCN/fix k/MPse+WyKplCd82hHyvPejGvnvwUd0B7K9jJ7qjCH+N3v1yksP++rkG11yF ZSuoGsdTjDfR0aOJUzImm3og5md9Le7zXJJ6y5w5SUc+Ngf1cZ/ktPxedtzP gXxusy0eDHQ6vyUK91vGyO8P4z6M0KOb+3F88KtDGI5bXn9Hxv0Wr3Ut0xlE niVxJnWc57f87TO4r3Js/y5eDmk6MnsZZIz7KlJtMm24f7J+JLEwfXEU1fFW zuH+yXPBSmPcJ6mW0i5qrqKi0OTbM7hPYpBzXxD3Q86s93W2uE9BZU/14nE/ JEly+hXuexwrWbeq7cQIkpCS0sF9D9VwT07c37B79vhzj+ow2ly3kor7G2Lk oL24j6GmQ863FyYjdptFCu5j1DYkXXi/vx343rIde8tJA6tI591vavogUPpU XD5nPawIp/j8FqfDu/NRui9u9IPS6U0cRc++wJhXltjzVjrUfutlnMjtByaf wqMr7xehZ1MKjFk+BlDZFgNjS/uAw7dr79Dvb2jq3fNTR9PoYGDKYutb1AvH d6jbr37dilZ89LBs/U0DpVgeh+ybPQAPjrsWDA2inrm4mfNPqCBCZnUt+9MN rzeIJfFMkFDRTaGVXAEUkIw7nCOi1QV1YXwjes+GEcsXwzKXyyMg+Vk2muV+ B9xjXrPtNQsFFfIXP1v0GAavoFHeZNZ2WLPCVK9zKxVVnX1ppxlIhmambSUJ T1sh5dyZ2csyoyjtowl0JpNAlDfMRPRIC4TU0EivOzrB6uMX4R9HRiH7h6DH 8cxBqA7uFqmiNELcWL3KzxdjkPtqaFOU8hDUdn+N7cn9ChHbt8ZuvksDUzOP EyVnhiBFM6+IU98THSedGfCdpsF6j5Ulp3YNQcLd5U+2e4qRH1l9iz+ZBvVW 8QHZdYMgf6jpRsuuRhRizNH5woUGb5L/yGkR9zco23lx92I7auDc+/0qoacF tIevsj/qB7tTPQyFyySk5GcGTrEjEJzok2nu3welfRlhS1eHUfSEhTJ4D4Pa UvPhLQcJ/bqs9mqPMAV9S3Rr0nUkw9FHNaTB3V0wqarBiZyoqMWkoHPleRI8 KIsb1nHpAA0mKxD3GUXWXRdZQwKGQF2ni6+7rA1OlzZw9VuNoeOrXtF3Zg/C tGB8F4tRK3jtZVgar6WhhVm1MnLfAMh7rGbVmG8GjTGuoK/tPfDxyDY5pokR sAkf2lLzlgTqr/uaGqVbYPazyd2Sm1SI91QXuXGTDN9aa0ay2UrhVOBodnTi KCjUe+XJDpBBJrfFpv7zVWTE+9oiWnkMuNOu3NP9QobJLyMvzrwpRY8c3P02 y48BKrdzXi9DrG+r3cRyohmt3leyii1tFBycLZSSNEnwadLnoNC7LkR6LX5d uo4KtodWr90gOgSejw99jJEcRg/t7/k8nSOBmNeT/Wwig9Bw+7NroQAFCR7O +GFDGoKNPVsd5t37wMqf3nXkMRVlFVbIypMHYWthb9sSwdsLMdnToTWjaN5K +eyD2QEoWQy+4t3UCTLRHWqDRWOI3/Mq+xqLfng1byjeOtoOq+9xF6jepqHu bkFaXE8vKJNOK4jvbINXSW9EbWXoiNz4i/3wXUJfGmv/cf3aAiYnlcm3pAbA 1L7i/boIEryOLFjXODYM81OpRr/zCT2+vfSg5qlhGBz4qMUuT4Fh66RBtupy 2EuaV8r+OgL12m8ltrVSoGpi6sKHXX4osvr9L+lACrhlh9umfKEA/6vZa9fu VKDj3Burnj+iQHisg/WL6RFQy2zqcqttRQYz2k++C1NA9lJpw9usYQhyXDYf Lu1FvRu7Dr/UGAEvhtWQjjwZVnu2cso2jSBJv/QDKSqEnl0Wpfp6DcHPhg23 7VOo6EPFJk/hU33QfMtrt27UAKyu7o5uXjmGCvt7Nyjn9UDJL+HV31N7YcNc PrOKCA3N/unpkdjZDbxu8tU3pbvBUzXy5uQ4DdEON9r+Gu2Ear1HhyTnO+AF s55Oeiwd7crenz5S0AEuAvWhx4TbweJ8yvwpCQYqv/H+YH12O3D6aP/Y7t0K o87NavwaQzDjF8DEgvsUMePvZiWo8DHz6dlV1zuhTPGz/c1nAzBqNLSS788o 2JqtEWuhVgHfD56ggfNDENAnJ1gvToNxuh+/btxNdMpn97XzF0lwVpITMjfT QPxIzzfm1Gq0a29IfWg+CWbiKLuNpMdg/Xu3oWmfDjRw+5fxKjsSmPpoeY26 UMEk9/mP8JWDiMrvwNccMwS+EfkKVWdHQF/7jsnZ41SU6GSoxlzcDvPiQdNH 3pOg2+SxZTT3GNqS/ZHnckIbPMwtu6deMAgm2ac9ZY1oaO5UUa5QdCtQt0Zs eLehH/htEH+XNh3dfrliaFViC0TM5F4/bdQDnjupPqpTdNR50EhruKIZfl0J Ci8hd4LZcobRoj8DdQSdo3GwNcMNvzsF8W3t8N2lYyPvFAPp6PBN7j3eBDJf t+0ZW9MGKq4ldIE7xN85bHN99FIDzJx8k5k6NArkbH5jS2o3PAgqZLHhawHP gaJ11At0yLlJOSE1WwvZz9vXWpu1g32YMOst+XEIad/w5vO9b4ivkds6Yms3 NGftn6wxY0CE12ODJZ5u5K1lvfHqtm4YLKxSK5CkQdWTV88Mng6hsttiO88d 6gIVl5oOjrtUSP18+KPx1VE03a4zxOJaDfLOYv0jCWTg9toW9kyAhky/hIlQ oRoYEs4ROZeGYOlQimsFcT6U5BjVjNEq4FbM2jilNQBXk+0yHQQYaJd1zWYT 3yqYWFz5I3JLLyhYiIW35zLQ+ZLcJ10rq0B0d6C8UEwX5LU3WGxQG0c1V05e OhtbCd4HpSplHDog2PSs/p/oceSfefSh6JZKGPgm6frmThtku1+2X7+FDKfb 62dbUp9C6fiHFJeEMXC9vavGWqsXfrn+Oj+wKws+9AcJeKcz4MqONc8TS+rB 73eIAt+OfIj/pGUVTp6AgS5ZrtTBHhRBY+nufVkF5y1Hgs5tYsD5rKTshhIS 0pK8IfTrajX4aNzK5dk4Bs17Xq6fmxpF/OeqmMMuPAHyZWPHNrZhKK4Q8wyN pCG9fS9uKqilwOOfifXx1UNwJOvLvjO5dHQ6TtbASCOL4EPeBrP6AdDOMKew 3WWgkR6OO3u138GCHc/gveReWLfm2HGQGUcZtm+8qrU/QGbPyAOz310golH4 ei5uHCl2iTRp1+SAjkuTeW5+B4g8Y7e1riOBteMUr4heNZqzfyNOEh+Dx5VP BFMGe8Be5Zx+38sq9D7kViH+u6b1LThKY+uhiBDoTl3l6FJJ4YOy2AnQvxpY dFKrFyklf2Ue3JWFAvhr2r2Ic9sfk8Tfsp6MklSPN7259ASVfr4VcYF4V8+9 Vd/5KW0U3V2wpa11LEUV7+KZtjUQv0fmm0N252hIRzGo85vaF3STIzTmxIch WP3mOrtlCsETww4lzbu5aAeT8eW3pQMQqS9bFhTGQFsCimsTK96gguaLPFaZ vRC6eELgy7ZxtLgl8L3pt2TkbSgYUc7VDdvlDp29924cPR14dj5c5Ql6BN/T Zeo7INd82IDgMxxL5gom+Izag/ZwrCT4zON9z2qRpxvkhP+cJfiPQhQVT2L+ b9uRef3jvW/ALGQWStwXdMeigaOWuC9ndpvFSc/WIqdcXT7ifqHdhw6R/In7 xX+vY8cxajdK3jA2e4qvBfUkjfZRiPtovfGIwdo7JHSBU9CauL+IxZzLFd/f 7/tDJ9szqSiKr+D0N7lWdJXzh40mBxlOVn3hdXwxhsKdl9UODTWiWAG92SLV IWilqGzZz0tHPw9QFk7t/oZyT6WV1IoOQMye2z3fRRjo1uxi4HJ6JVI1fHHs tE4v2C6Z3zQYYKBjnxz33GgpRRv3ruA+XtwFQbYPXa5dHkfFv9JZlh5/RSwO T0zPJ3SAkUj+ttDhcdQRKGCh9qkABUR1jj8pbQN6cchjon4CTzCvFlE/kanl sAmun6Ive9mJegt6eiQ3ot6i45FnonC9fchl1LycUg03ufaMEPUZUdUMzXF9 fst57sT8k5swfToqgKjnaE+Upzau5/e0yFJt1CpU+0nrJlH/UbI77+86ov47 vSnT57neieJKLu0m3gv04+Fi7xrivZDw7Qwh3hd0e31Zx4qGHhR3Su4Gfl9E +Vasv6NBQdepsiXp4n2IO8P+lUfPECxfCijqOzOKWk052Dsdu1Cr8OY5l1OD cETziGY3Bw15M6aWTm9sR13X/V0PT/TBYsGDrZIGdLTlou1Av1EL4m8/02/k 2AMOx68e3aRK+BnvKpfQnkYUvllsjdrmLkiny8vEUhho0ZG9hyWoDmU5bSiT VOyAwBvpAnc8xlE3qdPWlFKNkgc5VEiX2qDMiCOdXNoLJ8aWvIj3HX050DOP 3/cRlfv8hB6A2lnLPEIPoIhjX0lYD7Szl+dfvVMByucEewj9gH4LJJ3F+qGH 7dvBq7v8IIpn/RKhN9DXeDtrrDcmpGRec1SXo+HZH7KEPkFIdJIL65MnuY5C f/LbUKx1nSahZ5AexzYRrGfe76eGBEgNoGAl+zhC/6D739+NNxD652iFgZpp 8DCK55QRzlMgodl0wRqlW4PQ9sCurbyfgnJyX0hqGQ0i5euaWpFv+8FP7tDr /TmjKFTC5KyERB862Tfjpn2uFzhf3/uZK0lDdIps25WlLvTSSG3tjH43mHkL nD++k478+uxquLU6kPoz5oUzxp3QerrosL8QA/H/LkierGxFS59l/zgFt4Pl gTBW3TIGUqXKJqi+aEbF/ElrN0+1ArnszGvBd12wyGCOI/QnerjCTRrrz/pz ay6uONEMDRy2MoReRYNFIdpYr6b0nBOzf1MKibb3wwl9i2w0092wvhWYe7vz 6eerEL1sdZzQw+gGR8VdrIdv/3rp846tFJ1NvJlK6GdkGv4pDetnu1deoU3S LShkJsKb0NuINcp3BdbbFfOC0sXtPWhpiH01oc+R4fQpHqzPVzzvLa9oISH+ NhsOtcVh5MoeMDBg0A+TWwKDdHaNoMo4fU/adjIKuxpidj2gF+LlGn5HalHR UDZJqNR/CEnzVPh+/dANyZd3ekY1jKKZYxddrRoGkESKzIMPk53gKTw12U68 v9lTP+ls5F6kpTcxnWrYAVevdVR9FKQjpihzSYpeN0plCjoT/LkNWpWeqXBS 6ChqA6vf4kAHCjsv5XnerBWsvnQ7E/4Icn25uH1SxlDgY+YI7I9O5L3ubd7V COMTyQzCT6Gek3wq2E+5rOg7ZbOnGOQ0SjQI/4Uebmy5jf1X1Mobhn27PeHz CgcS4dfQvurNRdivWW4K+tmb+xUNyejeJ/wdujj50xT7O+lLXYjwg2j0R6sk 4QcRUy2FH/vB53NZXlkdnehT2wIz4R+RTFHiSewfJ4a2nUncMYROc97bniNL RcFGu51Pve6BPespLlOpZPT+SLb67N0RNLNKamz7yW64teXaLp/cEZSzz3NB bZyM9Hs4b7RPdwKftShLmDMVCeSoRtJtSKi+X6ideqcDMt+G6DI3Euf8c6Dw N3UQ3R4rD9Lf1A7XhASE3H+Oody5/d8DRAYQaPbp2ja1ggtP4Vj4CA1ZCEps YUnoRQeauAeex7TA7mShDp/kVjgdIX8gZZGGWgI7f++80QMJcrNSg7+/wd2x OVfC16O0qmxn7OvN1bRobPeLQFmS9HOWj4HCxMWCcR+gmkbx/vrsC6rvTVz3 vJWOmuRU+nDfgP33xtICznpkfdX7wm9xOtonsk8a9xkyBZ8d+qLbjh4my08p cdLQ/cKbkkmtfTCw7Ml28M4AUhvfybu6fhTlPbEx/2reBWopO1155EhI4ciS vKYtFe08FnW/1LIT5H3u0AR1hpFV+YUlnZERVNXwuUxwVwfU5fFKm66goA9T HyrnXYeRnXDkeLp4O7DSHZI/3qKi1dnZTidZyGhsUlvH4lcr3LBb4axQOoq+ feXQSc0cQgt6qzk8elqg5dbWbnw+X2dD9xHnAz3bR5fx+TBt7Yr7X99JMv1q +p/x8d6dmklzo4SvUT58o30IWMNJ+RS5ZlAzXzgf0TCGrul5fAlzGYS6lpCD bFXNsCzB9vf7yav/+X7y/H++n2QyXpbH8Sv/9V0l82DJ3+8qN//nu8qJ/3xX yez79W98w3/FzfzC7bDuGrcf7BXWq4ZLbUgC667qOikurK8uPnC5RegrcBfM icX6SmuDV8Xe9HpoLhx5oPigGGoEtEwiiyeAWbz4b/5N/5Xf0n9FAtarhZ1z BYReRQ48l45hvRpg+Ol8eWw9MtpLdsP5Z8JuuOP8zMm32V6W1KO1Tpf4sb69 +cBsG17P/ML77/eZ7P/5PtP+P99nMrH7/I3z/Nd3m1mPZllwHq6YBX+8bynn lCrOI8/76RzeVzI78wXWjTeKD13E+3IG8rhozo4judpJXxjJhcdjiZwx39og 83B4YBffBJrW7A/fKR0Ce6IltaYG26CKpvFXt++hX01tS32KDii4/tXtCpE/ SvH5XL1gOUCcD+q9mH3w7/noX/mLk+u/8HeGPZI7kF6P9i2Q8/H6TXcaZfB6 Jj3qZvz77vuv7z+Z+Mf/xg/+V/xt17W/OH/mj67VlQ5BE9fW/sWZIul4Hv9d QlebvxB/F/JzlP37d60/+MIJ9wNNz7KdeEvcu/3FGdq4H8jMlfH3u9D1//ku 9Pd/vgtl1nv3P+N3Dgs5Yd4mnDpVRvAW+STk7MO8dbuktR3zXLer8gjBc2S2 Q/Evz4fErvz9bmrhXJreWV4ScniRcx5/NyV4pXIe92/n05RGjDfRYWCMfQvu 3zLtJef/r+9CczhPyONzkxdZdwfzMH3Po81/zy356//8znNMmfKNNF2Pvu1b z4n/X/vfSPCHv/vj//puk8nD+H9+h6mxaLrs49QGUvK6t7i30kD6wmfJPXN9 YMQjJ8Dj1QvXmu+syiZ082Vz9yQ8XzbJXypLq4G+TWpBh7bQYa2GjLoOoYfj D67+6SL5HkKTSqh6H+iwzBR8HX0agGW93ttuku9R73QeCcd/VuV74XjXZlHN irQa5FxT4Y3zmKU+2ITzFPAfibjm1Ib+zO90wXg0XnhwYDwWfQ0TW3x6kUxx ZrfFwCj0RL+jEnN4ovXdTEZrCG0y0xA7co4KBxeEezNrukEgQ4l9zVsysjy5 I+/oyAgEj04LJ67ugvWNkTbp70bQA8d1DtIuw1C6KmOg72QHqKf/iTcxp6IQ 7a3K39nI8OCNUbwVocPT8qf2BiWNolWj2YZPC4bgzhcxzar9rbC0Rsnb6v0Y OmRc/Hj23iA0m1uHq082A/L2nTVM6oAvtk4/yHmjUHrg8DW/0EGw6w9ZKUH8 fT7brqwv0KNCzBXuZDxndhG1bcuug+9p/daxfWPgzCWxStd8CJgNxcqG9+fA ZwW/4jO3CF/kXRlXjYagYIY7kbo/BxkJeRfguHlVbiyOZ301yG/PrkPUDx8P 4jxBR0OZcJ66DT/v70nqQGWTGzoxntmGfc4Yj7OWZBCxP2JPKWDCeGreWflh PALrfa4dfkpCn2T8jXckj8C2qyWV8T96wSzXiOayagTJfT6WQ+YcBtfnwlWL 1d3QupJpT+ACBTWJ2Ma63ybBvsCNz1hQJxh01E5v9R9F0rJedxnrh6ArJ4XB 0d8OJ96To/1zxlDQzZ9ukh8GILVhtFFHoQ2YSdWbhTJo6K4ST/oj1z5QLpA9 8vVVC8hZPFg4cZGOxDdx2Z8n/IBvYU2ZzsFmuFawzYBtSze8tZ6o4vtKAR6/ 4WCaKQnKZJqFji4Nwurd2cn8G0eA3Fh9Ac+/LtocSEloBP6rR1+y8o3C6LrF 34/sySD+58gJencePOJwf72naRQOOH4Nv79MBn2G8OOJ7jzksE3vFY4rreu/ g+Nz/H9WpiY0IhkLu/s4z5uMHDrOYy/BNUrgQSH+zK8xnmcSPy9hPMLdgceI /ZFvx+8gjKfU0PAIxnPt2kOBy/zD6GnIZn8VVzLcKxBoldYaALr2QbNQdwoK iixBP6sIfx4+GXkrshfqtWekVfRHUfF6lY2xewfBcF5UcWRDN0wvrE/+RujF 0sVKz6TOPoipfGDD8qMDLKOFhd/l09DNpYYr3Zd7YLySOUyOpR3ufH3z0CWa joTZ0iZ9j3dB9pTQmh+E/pwNC2QI6TJQGXlJRfJGB5izf3JyaGmGcAF9HpOp XljkEK3VExkGgaOH3bYbDENc1cg2C+L39ryZ5ql9lgSuF69H4vnWxNQ9v142 g4PkSauQsBFQihznNkEjcPziJNflns9gD2eNmxwokMOR6MeeSIHkxz/yvHs+ o/eVfoY43r+Y5onjknUcwvMvm5G4h4sBzpN/LmbGmMjDPshRQOBB8kcdXmM8 USkfD2E8R3o5PIn90Yqhs0cxHs1Kx4sYz3D/vs1r74+gOR7eSwWvB+HUNmd6 QtkgMO9p2ubYQEWCV+cMrsv3Q6Jq0HylST8Mtmc7jPmMIbmOBlbboz1gEbxr 8fHFHvgz777e9RMNsXivG3zT2wnaF9ZMO3zvhHPrdi3cSKejUwssDVWf2qGU nyzUXNkOnyvKFfPsifO8LZ9W0d8KHlzlji60VtAqyAxTmWYg5BSinWzQAhQn c9la4xawP8Ra8bF1AA5JsvkY3x+EwSv81aL7KVDmpDH0mm0Yxk7bGt1s7IMN NeZ7soh5mbvObf1Wwjc8SD2ozkGC9/1B6+aNR2H1mswDEqpfwOOsvpPjOOF/ 5gYj/4SOwSZXmouU6hc0mv7DBse9UqVv43jBm43nDVpbkYbp/W04j/irsz9/ EXmUfz669ql1AHGkfj2B8STsEXiO8WxZ/12S2B/ZSFvzYjzkdxNiGI/Vu1TP 8DkKqpx2Rd0vu0F5L4/f794hOKG6zkWedwyFyG496NPQASOU2tzi4QGYce/f Ux1BQyvcC4YkbNvg7qMO+fInvbBPaTXfihQ6Ovo+WarWqAX23jBVlK7vgolF cp6sFwMVeaXzPQhpgisGF5zvXuyA33zhyy1842jakWWv9MpGiFVbR73s0gbB UvxmYaHj6LAjI+eCXx20z9EPv3/XAiWbVaqNYQjOFDVwqv7sAC2xBcELMqMQ d8InffH4CMybn7ZY0GyDZbPta5eIudrThAvqU+2g4CRR2hPQDU7q8rx65TTg Uaq9sln/K7iaOiQEb+oFli96NpWXGZB89mnpFv2v6N4Mxz0cb9czNsHxsq9m ZzWm2hFH8XQszvPOnm1El8iT59kiYwJDaNZOpVWFwKPyWozkQuAZJ9VQCTwo I79lI8bj+dKThPHpsYiJyMgRdcCc1nDvQzOMnAtdJFeTwH6NcfaDtTSkxvB/ ceFuI3jwXZIoeDwIJS/e77B3oaMVtCXnQfc62L9DU9UyuA8emwY6PrRloOvP rp8ac6mBhPP5rseud0PYi/zH34jzTIx101cYqYTxRs9bod+J90zROYQeO44k JL2Yp8rKYXFqQS+org0EP5G8b/wh1lcemOGdKwWO5Acl6YstsC3IriZMmwRr Lu/57XmxGgp3tObLB41BXs7YC9sHnbCadCLyZ/g3uLTp5t3vmQw43cV3eSuh e0Q0Ckb2EXqTO+blHqx/CpI+MJQIHZkteqMZx5lAQwXHP0oOptg96ESMno+W OM9Ikt1RnOfQ5uTN4dok5HsqIh/vW7dNzxfv+5thHRO/n4LMhx2sdbUroKO8 +j4xh8eGenfqCV2362Kk5uTpUvgW7VLm5EKGeVcvJY4SGuJ5NO1fxFQMRTEr h8U4hkDZkkGuXaCjIM2F/t/CRcDuvmGpcmM/3GQrD7JvZ6DDYeJ+c+R8CLdp +KFF64Yp9pUnxz0JHb7miOIT3U/wfsqUVVG/E/bckfc4SxtHwRaN8JgjDxhT kqXs3O3AGfe9ytNgAm2M0Xbfr5ADf1S0kn9tbYXL/d+r8HlGcLJu9bpYjS4F NH3Cf1d3Gt/CZeLvUInwljSGCjQ2cd3Zk5hvivFJxOe888blCuJ8UMBSyh18 PiKiW5Pxub2U/hCN48OGWodxPMJfXRafW8S0MZ04NxTpt/Mazs8ayPoQn5v9 sNsd4tzQkLVHBD63DfdEgvC5+SmeOUWcG0qhBpfic5OIdVbE51Y+MvuKODeU usmGjM/Nzk/277nZHT8o+ke4CG22O7iIz21xh9Tfcztnb/CeODfkc0Hz77mt nC6wxufGMXFiP3FuKNeI7++50WOD3fG5sQm9vEGcG4LhtBJ8bqkbyivwvV6z +YIEca+RqvcjAXyvOx9LpuJ70xtj6ETcI6R2v48P3+uN3q/P4Xsds0usi7iP 6Fh/JBe+1+1Krzzxve6Jlsoh7i/6oVt4HN/fQv3or/heyxTOvMDxVoM/+3A8 lVPHDt/rKuaPWTjPxnv6g/hex104twnf66Dqb6PEvUa7OD7343uttNFjBN9r t6U8dYwnb0hsEOOb5OIWwvf64U3WIeJeI/Wyyd/4Xpu23MzC95plzaX3xL1G jipG/6+OMw+ncv3ifqKkyZSxUoZIGkhoXkKaSIoOTSRDA5VCozFTQkpIhuaQ kkyhWKlMmcdttge2be9NiOZ4n/tc5/ee6+p9z5/u67key36etb7fz/e+t/mk r51n+euRvpawy/Gh+hrtDgyvIH39k2XqQPr6VHexB9XXWHw31pn0dW1QSwzp 68m0q3upvsaP8fk+pK+Ftc4Ekb4WjN8mR/U1Oo0Z/d3XP4O+uZO+/tKWM1Ps 63scu/K1iPS11obLSHRK3tfMj9IFtJzi84HoAr3FtIvoVLLij32ULuDSdccN iC58rNbwJjrVrCFlQekLHlqYIEp0SnPzHgOiU/In5p6m9Ah/qriFED0SqN3h QHQqLZznSNYtuqy9yLpVYZsD0Skb94B15D6Oek5DRKfglYw70amcd5F2pJ40 nzVxpB79FmUFolPyW48okHp+OCvJkXrKn9ifITp1L3ekgtIpfMDZfonoVOat E0eJTtnF8qwpnUILh6MZRKeq1Y4YEZ0adljHo3QKdywEdaJT63Z0zSY6tewS R4vSKUwcNNIgOtVRJJxNdEr8QvkCSqfwt3iPE9GpOTZZ40SnZPVGTSidwu8G HmyiUwsSDu8kOlUzVbCB0insTawwJzq13d9amPiuNDHHOsrn4I6QFceJzxGw atAkvkZSvuUi5XPw/fjRMPKzxKKpm4jvao2qtaH8Etr5BE4lvqtO10WI+K4b Mw13U/4Ky6QGzxF/NfOIwkviu469LtxG1reviDhF1uNbVecQ35UT3LCV3OfA 19lDxHcdCa/KJr7r2dOvL0k9tIbZO0g9yg3rXYnvupoptJ/UM60wzpnUc1Vz ziLiu6pz7rlRvgtXlmX0E98VGVurSXzX77nbzCnfheKsjDHiu+omjhwhvsu9 o02U8l1oeb70B/FduxPZ8sR3PXd3GqB8F4p5pg8R3zVcP+sb8V3LIbCd8l24 UmSONPFdHtVPlhLfZZci84LyXciMHnYgvutD7Iurf/uutR+3UL4LeU/GVYjv sp5etpFwhJPly0rKt2O5aaU/8e0JjbQ5xKern7uQQvl2TPOuOUZ+FuD2bSYc 0a2lmUT5f3RUH/lK/H9s/SZLwhGXhGXSKV7AWN9dwYQXpr2bGkk4Yod2TzJZ 99M86UfWpSf8pxCO+DprXSS5j25hSh+5z4OxJSzCEb/zVdNJPVlzQ11IPSqX yi0IR8Rp2YSQemp7r+4i9Sy9KS9OOMI4z8Cf4gj0T1pTSzhCKdzPlHDE8r/S P1AcgcdKHcIIRyQeEVYiHJHfVqNKcQQ+CxpVJxyhPM64TzhC9p6SF8URmMb3 PEA4Yor3QmnCEVnCZT4UR+DnZLurhCP6NG9GEo7YtUt1jOIIvLzZWJRwRK5i CI9whMVf2roUR+BlFP+bIxpC/IcJF5fu4I1SHIoWwzQPwqEf23Ey4c4rk/Yq UhyKTDeDRPKzyHQjK8LFfo3CNhTPou2vhdMIz6Zv0kbCxWuUnD9Q/IsNZy// zb9vhpXjCBdXzXIoJOujxcdvknUXG5dMwsVe3XRTcp+ALWG/1lP3ka4pCCFc PD+ntp3Uc1HmvgOpp1z3L2/CxTJn7wiRejReRJwj9Wi8u3eOcHGCpssuiotR 4ILle8LFO6v4bMLFnhrmeRQXY4dt9XvCxbXflA0IFzvxR+5QXIz6yrPiCBdv 1tIcJlz8gj8pnOJiPHxDj0u4+EtgSAThYr2ZXecoLsZv+d+rCRe/ncVRJVzc 9S7tGcXFmGbhs5tw8dV1Zd8JFw9/uuFAcTG+2Wv4NxfvZDj8IHnOyHVd/xlL qecm3iJH8pMoMcVvJLeJ/FwVtFOdhxouZ5aSvOWz5JEhktu4PlvE3ZjJwxe2 +8+SfKZLb7sPyW20FWb1kvVv61+7kPXFXB9NktssumN3gdzHrZs+l9ynxccu mOQ28bqNJ8nvndysOGFE/d5KcS6H5DZbhmd0WXRzcHdpBYPkNnFqrjtJbpM8 oaaw52gf7uzSbSG5jf60lQIkt1GTC3hj2duLYfJxEiS3eRTN3Udym4/FUsdV TvTgxi+v20lu86E0KpbkNn3L9FcNTWHh4g6FWJLb9PEaDEluoxdZtC3uNQMl 2FdXkdwG7maeIbnNTFlW4pcwOrK0K66S3Ca3wjXJJIKLV668drP62YXbvbVC grPrwGg4puNTUCXcnP+4KFCcBx9GR77SJnfDg5ZMk6+KOWCwxCxN9CkP6s0P yyqmd4PTrXgnwehUPDLNi1/yhgdxWoXPzfO7ITois6kqvQzrq149WKvPg5lf vfwnreyG2zb0pBzvRtR2+3mo2owL681rLMfmdsGcljV3Hz9rx4vHlyY0zuiH 0fs49vBJB4hWfsx66MjCaT0Ze7kylH+tvWvRt6kVhrT1zJvdetF/1oYHpfE9 sGT5Ebdf4TRIPbHl7pYFfTj9vet+BR0WnP6Cmd0jTSA42/7qhfMcPLKWJRDc xwCzW5li39waIfOh08L7Ef349qW6954cOgTkJLuVyzTAyJkZGSXu1Bz+60r5 GX2qH0rGu8rb6mDtYGDcJoMCCK76XtFxlAt37Z/lrc1gQNLr4uwAzSf4zG3l jsgILoT0i6fcKGfAlfBmu0dbynHIaVjjvQQXvjGYKttcGaDTJOop/qgJV098 nZUh0g/LMP5j92s6mE0sHnts34lFN3O+5z/sg1alb2XqN7sBrp7v/HiFjWmW /vJT+UyoWP80dXB1KxTx67UEFTmY6lxVJuTFgM2q2c51O2lwfYNGg/rRfhQW HAtU0KLD+rCXta03mqADk8xinLnY33bB4sqMLmCDGK6f3AhT2szQawMPRwaj KmRG22HHY18v3YR6uLrmwQrVR/F4hqd0OZDDgQK9KqvX4j0gkXm3e25JOV4Y dQjnOHPgXPXFZ/WPWIBb++5tpzdjpkDeW4udfdDPlPexzGbClUPJKRkG3Xjt hfru3+W94PLDK2+/BwM0rOUjHJX6sdKkxO3R5y54uW5SvlJuC5yoFg77tZuL 3apTF4+d6oDjqj53V2c1g5umamSwPg/dlafeDtZrA0/PHEvPgUa4w2/8Uf2T hy8/bPYWMWyB8dWLdscdbACOifLpzRPlqKFlZc2dwwaVoG8DH9eyITnrrORB pRbcl7hQqJHXA8tzBr7KjvdAPTNx0OcOHYMtM2hFlixIO7sr6Zc1C7LrV0P+ Ch563i1Kn8alQfiUgrCoBhrM93VkuAjxUVqBO9TT1wRTzjm4F9c3wSfFQFG9 FD6u3T6qtGRJI7x2PLK1XroRUk9XxAdtbsVLyjNeSd+l3kO7pxFhwX0QvNWz 4/Q1aj4em3PMXZIObJemjQoOvfC6P6dxTRofzWZrH5aXrYMXD5b8FElpBs+A 3HrvDQNY8FnYX3FXDayfEXRG+V0jzFwm1i9vwcT29HBfqRga5FZOfj7i0gdr tloHOr0YwF0apV+d/IqBn7xbKPmvJtjTl1mrp9YGRRqZtRhbiW0lwq5G5nx4 WbWwULijGB6Ecu/q3KrGp67znGqiByFDLp0huTofDZbm0e+/q8Y9OLGO7MvY SL1aWJbVjCK/u4Ze11XiYK8w96XIAIROGG2W82cgRNmr55wvx/LFl7MXCXJB SjRoYHdNL1pItrPm6peg57MlbYLIhoUfD8jcCONiRZ+rDU+gCE12dj5ztGLA 81Lbs5I0Hi5+W/laW64QU99NaEw86oJ81fHQPQV8DO715t6geMr74NPxhxbt sMkhUqLJbgAxgPd2CcVTFdFz6TaxLXDo6DLBHx0D+GxZwSlLiqeUHu2dYbWn GVIHU66dWkNxqHvpdEOTLLyr/NbtqSP1ef5zbkf9j3M7u6XOl6BlGaUvNfVj Ah24/UXT1CML+BAw9M3o4t0XOEdx/KmiRweqdkVbsWP4cDVriY6rZAPmT86c uby/Ddf6+AvKOPMgZ6GczsHYbtQPMUFh9xZM+xierT7BgUP9Nw+J7u/Bp43e LraZTXgy6drbzmVsyEnODcubx8Ovciy3K5OqUbrTd2GdbxdIiv+SG1Tj49uE axJW9I/okuxzIWhrO3wdal92sJ+Pr04e89XZXIYb7cLf9lOfg3JpnmLV+QHc tkBVYL5UCZ48IG1ZtK8ZxITrN4f1DqB/6KhP2doPePDU8ugsak6G/XPexuef 8zbsf87bpNq9i8zIi8KVZ+e4VU9nobOHrPbR7H7YpTmv/RSrGrNtp+o3nqR8 e2B22eBvDmzsH3bwi2nHZt8NofMVGKhSd1MrWL8Prh/LN97nycRO2k/tg9+6 UF1tPFhzWi9kRIesLzTi4amIH8OcgQb8xJmtVEbxck7Msv2ey/gIwUuE94nV o9Th4Y0ih1rg9+DkW6x2Pn4tqxVKu1iLT+r2XoxZ1QwrtyWlLzw8gKERNLW9 +tXo/X3x0uwDjeD7H+dbwncedRk+Xoazk6dIi0iwcfJQVt7qfWwo3LY+rziB hk8ebkxax+xB7+vjyxYt64WpjJipQhfoWOSpZ+loyMJD+XDvZTAL9MbyTX30 eMjevsE8Kp2GudUCn0/100D2isHnOzP4qGG8UXYB9XwtTG+tvsNsAumzkV3+ L/jIwBIdrx8N2HQg9c4ZpUYI/uN8yM5/zod45Ho8R8FGFBrYMuXV4z5csTNf 6pYsCxr894g6CnWi8a69Gw9oUryzsUY0h8eAMuM11rfEeGhh/FxwaWwbSvcu uPnhWBNsXLLBv6iZh9q6M767RrdgcrLt4Y6yBnioojD104lWdNKYI3HcnoNV h93w3j46hMYNz0zq4mJp49N99cwOnB7+fXGsRQO4inpomD9qh7nxGw3dZvfD UQg75fu4A+ZHTEolfqOPvdSJ8hvQ9ywilPiN4GmZO0i/mJ9PjKL6BbZNYxwk /fJobXoPmTPGFz8/p+YMlAQrAJkzUZ1R7LbmXjinI2JR4FkCVSd/+vzOZIP5 P/vgvH/2wV3/2Qe3tx+WKqV0o9rYik/NJWjc66GQQc2lIJmTkmR9dZGg2htq Xkmf2TWXrG+YbqhM5ljR79Qccr3RPZUBMsf+t7+s+sf+sgfdNpTMjfrN3woN TLIgoW6tO5kbN34u7CV1Hooe9KPqxIKKi96kziQZ/mmS+61W26K8NaUac30Z m0i+F/75E5fkfrM0RKeQdYdqhWVk/X/7v1J/7P/mJ6UuIp9zgm2oMfU5o92N W8fI56ybvH0W2bd0c2SIvmBwEPiRceTnx4GKtsSnJQ+1DFI+Def3xD0mPq1y j2sa8TkiivI0yueg8qfrHcTnZNgqN4Ym+hcaWJ05z/hcDa72exTIfmvcGp+f JH+7GXtjZAeUwEtv7nGSv8Usj6oj1ytY6uZQ16Oy/kV5cv1Hfc2/873s845F WzWy0HMs9yHJ93imwucHT7RCidHwYuq9goDlNxvJe/VJq+TASjYDpdc/6vYU Y4P9lhYppzOd0DT7yiUHoU5w4sRbUe8zGO2bp0He58fXD/woFGwEzkuaLPX+ g87IyaXk/T/3Ls1+xy8mWvltEJGb1wP4uuWwvBwdhu8KbLkU04tiS6RufXZl wqpHDRxdn06w+ud7AWl/fC/gPEeyQPACHYKffDtJ9TUIhLZ8IH39/KL3jw8J NDgb/vkNNQfATfWDKZkD2zrUX3w6XgZWOrMXUnMD5B2NqsncSJXnbPsi14Np oj2rMuIZsNTnDdc3lgEHFjyd9TuHjbqtV68YcLrBf6JUX6+lG2QUkmm2SRw0 fdH/Xb+nA1YHNX9yrvn3XP3XP87Vh/YvnLD2ZMLlLcvtqPkJ93YO5pD5ebKW cc83ph22xX2/R81bmD+9+ACZtx9qBkddWNVwcKvxdmo+g419FpvMZ+EjX0fv 50WB+ttdJ6l5DnlH6GvJPG+cmLbHfGkvsq7TaY/bqTqe6ZxJ0GBBQN7kkxrF fdjp/umQXXkrxJ/dliU+jwHPmoINp9/rx0NCkufM59DgsPWn1WviukBJKMa+ 4AsXHRsTyrWLGgH/ml6Qd+Xfc+xtf5xj39rwXp7SQZDp4oRROghWM9u+EB3s vV198kBsNwhAQhelm/DcI4JPdPP2Zs2VpyWpueUitYDSWZB/P2Mp0dlHazJ+ F1mWobTZvieUXkOc+trPdpRe//ZQf8aUZKOJhs7J0LZGaGKmPdj6ogcUmzmz eh5z0O9lavObw/WQMOev5RGrmcAIuBxdcJyLyhX81GyjWsiXl1pEvq+nWtke +imJ4slNM9o+TVSCQpXjX+OFHdA6kGK8+Rof2T/TXF1nfYSeU2ozWI3/njOv +OOcOf3zox5ZfwZ87mtbTfkl2BtwZ4z4paOKO6tWq7VhqqPkYcqnweeHbzcQ n3Zvl9bphQ/YKBtZuYC3vgRSFIWY3gO9UOu56XLbyn4sCTY7s8LuPdS1hgoG KbAg0mzHRG8/F4NDSvWtJxVBxYfxzOZSOnQ8a7rhL83H1IGfN9RlC2Gu5Sqt b3md8KYne/c6Lh87hOUkvFj5UF+RKBJ2qw2iV6SlBF4ZwIs2rnrBG3Lhl5NA 58cf/54Dt/rjHHga3esm5UuhTVe3gvKl2CSi1UV8aerSQ5deevWha+yS1iyF BlxV5h5n7MeCswkyIZQfhs0aMRGUH0ZpRo498cPz491LAje3gqDq9DbKP+OS pEnpxD/bj08Ju0nxs7qB8kTqy3YMdT992K6MCYHb9iqs2EU9x5GHT8VfteAr heY3nDd00BX1uE/5fBhQffCL8vkYfz3+A/H5ddkbdh1QagHX2V0qFBeg4m8n UTmKC47tmHhuOFEOTkHvTlIcgYduxH4nHLFzspbfmVk9WCnhdsCM8rmTfCZN G0MGfPTqP5lK9bXRQZP1QWnduPJ48v4tInS4EnAwq+wZB61ULqtKJnWg7ZWQ dtb3DhgtostSfAS467kbxUeYmrSmhvCRcYPYp230ZrgWuL2L4imkmz24QXjK lplhLl9SDsufUNTvzMHG6ZbZhL+iOCJqco/iwTD2tS/Fa7giwHcv4bX1uSG1 71SYGJPwqsjCrweX1sxsHQ+nw17r23tTvvdg79O+hfermTgY9na1674u0D67 bJfhIspPPJw3ZKnNQEkdZ4c9he3w16GtBdVVHJyspL4z81I3JmfZWDFsWoH/ psuZ4lYwLDgn9/phH8YPIIdw6+ya+e1ij5qAJfhmMcW5+M6Q30w4d7LYyK8H W8qh5V7iBoqLUbGIsYRw8dXAujFvzScQcWm7OcXRGLNLJYlwdNeP+ceMDAqw q2RVCcXdaNBa+IJwd6lQx25pUzoGroxZa9/NxpQvR9qLnnaB8JjRr996LOwJ kUn7rN+LMc++t7t6dkC1k0WiR0gvykeMHn+dzEL/PV8t1llRc34286WNTR/G qYS3tC5m4ofTdmnFe1pgkU3/48FaDo4zm7ne5XScxGwf1bnUDA3MFIkcb0p3 1GedqzbjorCuoRPJMaIkG29VppdBeOrTjLUUp4ZYGoSS3GPLqHzjd8UcVHx9 9anoUx62Fm8TIfmJ5FjMjOGgSjT+OZIVKM7DDX5RXSRvuZ+YL2G2shPDs+v3 XczmYGWF3MBOsw6oUat4pBrEwIKmHc3q6/owWW+prENCG8xRzgsuGmJhdLyq e+qrXgw7vS6/kt4CZxfX13Wwe/F0hkx008YelLUpkLbXpMF5Tas4/uU+lNyk EyfewUSbWd8X7IltgrnfHJLNizn484lyRsYtBo7lCk8rUGyEQe31RuNRqaDR v3uI5Dy3PupmEP/gqrhg4PTdFxDUXJFI/FvBvDEH4t84hzwYs1fnw31ribfE v1nmTDYj/m3kr/tvCVdeEXlvR3ElVP6oO0648l37ixXTO4rR/MgtE7IuWG+7 i6zzv0p0kftcf77yG+FN2U/Xd5D7PA5IX0auP4bdXoRP9fX2mJLrFWc4sEk9 Jt4aWYS/okae2pJ6LqoVrSf1n6x7PkL8j6TnnKek/l2qvguiblfDHI6ujfMX LtysiQpdx+qCnZKrR6NkEAwVRM2XRPBgjJ1OG7nRDc+fW82eG+VWqB1xfkCk lAeTfVxuHirpBn1bE72jkYhnhDpkJK7zwEvjTZN0eDdMmzA597qiGvdaTyrM GeWC34pzLp4dXVAW0+51eVczjiynvfMX5oIB3SrhVGUniBVp3Zkjx8JRaZXa A9vZECD/TKf0civkLbtP3/OlB2P6joT4/e6Byx43wrsmaCBqs1x+TwAbh+4r 7j/1hgVxk7Ofl0Y0w7BGh9aXuj6Mbv89PBLKhJW1B+6P6zSBslrpiY19HFQ0 SOkXPMOALTNuOFSMNMByqUcRo2pF8OnXy9+brLhQoy3jmfyEASKm3xQ3Gdrj +LXvnI/RXPA+uuWhRDU1l29UlegWFGGeQc2pOXu5ID95XW/aPQYk7b0+vkOx Dq9r8CsE7vVDYEIO7fwiBgTAdpdPd1owh2/qfTqMA78LLuTNc6GD+xfNIzXG bCwNyZ/8bR4LLmW4fwnxbIXXo6uSCt/2YfCdssLhZgZsC9k840wFDZrjVvq9 H+PgQGWge1oyHSJka2/ZrWmGVX7TYvkj/ThUcG65s1o3aL6g1SuUN4KzrEOT 2nsu7n5/W9Z2RSdsXvvbcObFBmhwWiORGXqG4rQoXh6XAydueft8l+yBdLul lgZiH1Da1P5aciIHZJm0IIU6FlzvdzeXU2nAOYP3HQUq+sB62vo7N5RZ8FHi nlODVjsKTDWTKL7Jhmttbaf3qzFhqvhCvaAvHOzzCAzJMO6G8ofdvyYJtMLy tc8FlUS5WPtTz/SSQCcoX3RxatKmgU/ZBfbnIS7OeyOca/ylDY7RnHvSbzXB Atm8vS2UrzhhFZzipdgKQnrC/aELG2Fk/cqJBUUluK7p3omI5WyYiIlwFqN8 5rJt/ae2Hm3C69mPfzts6oUdvRfmn7PvpeZDx9CeqV3o8eG+wiUeCzRPG9ek z+iB6q62+UckqPvDzicL1Vqg/sYaXY25LZC9KG6lA42H9M+/eU27mkE3oFvs gWkz8N0frbjuxkf/tMXin182wntTUc7L7EaYcqnwztFqGh5uaAt2/8CAoUNF o7SqPpCK3/eszIOOBe25IHiUDouu//RIGe+FiPiFgo5xfNz9Trz+7YY6aPmw tsGC1wxL8nN2X1k4gPu+OWvE1tbAuPyxU3O1m6Dgmtjjxx8Z+Eiqu/dxKQ02 nTwr1v+xD8ZSRBpWPxxAbbGVRtUPi6F5c+m0uzebIHwimaOe1g5TjsUsCtCt xMYNRwdEf/DAN/7bw9yGKpg7iSfdoViNSR4b717TGgTxuVb/X35Z2Sf/Pb+h CjX7BAbbqevfBg5cJte/q45pYCa341KFtpBb7yrQfsr7Q/GT+bDrtVt27Hsm CmQf+1IjUI4yc4SahtT64dWgTVrYXi76JNzUzd9XhD/Hg87JUf31dLjPVeAa D1WtD5cpr0V8VPHervZ+N6xZfuHlXmc+yjjtk3bc/AbZeask9UM6oC7lk7/a nAE0fu9m0laUh/NKb77yHGiF+Wd+mYZFDmCYiYrXzPhXaCLbZuyZTfu/3zv7 M7/i6norrPhRAaunPX0UWN+O2a1d5xpHefA0z2aLfYlfYSxvxqrNQR14u2FW tfxjPqxSjbSX3VWBTbm8cyn329HWrU3KeQYfFJOkQnb1tqJSfIh6FKsVC3jT y9M2cuHCXf39kWUMdIy/ZXDxDg1tGbG56bQ+GKpgL7cZ4WKGrV+LdUA1Kqlb fJ/7pQu+SPxyaeXy8Oj4bk3Bggrcz7wslyPSAfEDhep1j/lor2TFPGFdjvzK j7+zr7WCvUrYxi+rBvBL7W2rtu2lWGt9sJp1jAb1Je+i7B8NoNImTU2rK8Uo 2yLlbEr1UeR/5FfzfqmqROWeg7sdt9V9Z7IwcUV65+acfpicMmnqEecyTC8u r9qfykTNg5Gusob90EQ7tNrmJg2vSesVKrxk4KpER/X5vD6Yt+Ta7h2udNyx 9IqL0X46NvuYJ22cyYbs0QL6HkUeipWsunZ8dSPaCq0br9nUDtVXbVrMv/Hw nIfyItnr9VjCniUsPtICdWaSmt8T+XhMLO7V4Lw6NNiRkSAx0gwLnq+YOl1p AJuvmea+yqxBwRjflmBqnjf9R351M2eMeziiGFed0vEL02Bj+rvcCz2n2NBj kjjdf1ETVjBVxO6u68U1l7pXvbvYC/zva3KGxjqR7nibtZHNQov6hnEBmR7I 7Bjw2yHLw/nOQdNEf9HQz6/GLlajBTwcvKvk2nkYkyNba67bjG6zj49GWzZD 5pYhi9UefMyryKroetyIzGVCR+7mNv4/32/6X371yd4vxp5Vj4vxqOaDij40 +3mR3bSSBX2t5nXpCu2Ym3T5QckNNvZ7LGUUrGCCXF3Tcxjl4vPMDe8tmW14 IPe7h1xCExQtSdziksLD4YKRxT9lWnFD1AG/POVG0JctrjMLasHoyY8lHMIp H2UneljoLB02pFzf5vWBi0OtUYV7FndivClfXN+zAeSex+hT14PeMtZi6nqw rvzuTq6vVZ8QXreJiY3SKi4Nbb2grcONeb6yE2bbOOpQdcKy8zWvqTpBhdn9 k9SJ+daMI6x6eJ/UZkD9XcDQdP5F/q5Iztrln3JYuN6EcWFfMgsETbbtrg7r hruCxVlCjF40XinXYbqWCSO/ZbJPaf37/wr+zCUCX0hJUs8LUuq//aKeF6jO 91eaTD0vS+dewyuLmmBSwT5l6vnCK9WK3eT5vnq5Ss02ohjKc8+EUO8DXD74 KpS8Dytunxjja/fiSivl9bR+igcEb5ju+Enp6mbLfYs396GiRYbZlRmUHzX2 db8s1Q019sw1Qp0cXO50MifftwNe3+hclnb+v3OJ8eq149td6TBNUsef6gtI hQNNpC9OXxKyO3STBp4exTVUH4HopLXmpI+er5EVPexcBh0n9RqpvgObMN1r pO/mi8kU0nLPYc2rcEWqT8FU8wWT9Knp7fj0ukQ2fh2KNiuSaYfe6QNsOSUm HJM6dNCYet4uiysKFsS3wLc8r+/HT9BhbEqC6G0BLq6Vqng34dgMR0u/qK2v 7YTpsaP52fI8LOwU6zE81whlJcWdOsv+zSVa/8glfmCbEDXf4Oyht0eo+QYq Vk1DZL51HTjx2Ky3FTaMvDGg5iGMzV3/k8zDZFHnddK7KqC0rMKLmp+w82Sj DpmfolurtpN52+OdokDNW5jTadtA5q2yq6yJ1o8K7Jxr5EbNZzBfK3KYzOct F5+5n27oQ+UWg3gn8QYwP5Q4s2A+C07k6u10SezHeLOG/UWL66j5/uP7V8p3 yT15y5sY4KKK66C4yaQaeD0pr7GY3QWzBouG29g8rFL/Ms9rUSU8jd4YEjnR Dh1hN3KdHvBxUppmrnRGOchPvL/f4f/feUXxpOAeRjL19wjsDad0ELKMI2KJ DkZctE4iOqv11qGN0k145lLzgOim93qtX0RP96ezc8k6M2umD1m3NtrdsSSt HR/9/Jzlr1sJuXfW5xK9znp0YcOiJA4OrZo/Z7TyPSzQiYms+MgC37OrZjZb cFF5yRJpjZdFkBcI00weMmBR+Nnwy1epuVo/WhxWhsD5JSe0IbEbEk8YWEmf 4KPGK+6q8Pw3oCQasIhPfd7brEJnqkoOoPPdxuXtSvkQaJvg+olH+c/MSx54 cwAXcn8tURx4BW8WhtScyKJBtLDxdsqHgJk+c8WTUhoePdq6ifiQPdYvDBc0 9uGC/Yt83vfX436VBcfyVFlwcOHV3ZT/gbXyVk6U/8EBuZR44n/Kb3kWOFXT gMOcm0r5JZyb7CvRQvklL+oFvpPAxoflWfeDJtpwuocR+8FSJix+mbK9MIKD 72+Kd1Udb0F6+Fj03It0WPXlqiHl60BqIN+Q8nXofcGMR3xdV/WLB1uONsG1 +r/mOW7qxb5E85XEB4rbdegqFJWASY22N+UbccatpR7ENyZbTzeI0+xFwe4t 3zV66Lhpfv0N8SkM8KXVs1uM+nDK4k3SXwe7UKRc+1I9xbPx+h8NJjM42JOh z3m7pwMlJA67hd7ugGWvDd7Xa7XDoTMXtSk/jPt3LwkgfvhxokKUrEoD7F/I 8KH8M3pNz0gm/nneQ3qhvtgHCPfaHkf5bYzoqAwjfpufKz/hFXoGNmpZfaL8 OT65HXWZ+HORnqgN4y9Z2CQvGtHxhIUK9/eGtiZ0Q3ZUmGd5Zy9Ol59b/VGb 4vc1q8f37OiEEs0b21Vjqd/3Q7JTqJmO0llbAjjy7SArRY9W/sFBKz4zTEK9 G9NMotcHybSCwUf/+sE7LSBhnBlPcQrGfPMqJZxiG3x0N8U1YO3mx6S4Br23 jdIJ11R8mbJfp6AI5Kct86Q4CLNnqXAIBwXP+bqv18AeTi39zaO4CYdDVtwl 3NQ4P310TK0I99/0+0JxFtZHrjhDOCtkvtCeA+uYmFvRG3C7vRefGRVengad EBF7/avz2R6cube2K8utB2c8NhE7a9MOZglPLhhuZqNMj63hN1kWHmkQluKG t0LlaZr41aI+vFWbOntnHQOFnMPuLm2lgVORydL3Xzl4aq/dHIUHdPy8oytQ 1KgZIg82bcivqAbDJoU6ik+xam7XecKnku7PUhwiEWbf/6VE8SyK3CmgEZ6l 35UVIfzbR6/+RPEv5ptvCiH82/F0+5nbMoi/dLjbKV7GV4e7iwkvh/+6vj36 djVC4X1ziq9RQmDUlfB1jdpIaUA7Hfd81qvXjevDbqvw8klT2+HZK/lJQVIs 9HxYFTmxnY3MVbQMrYBWCH8U2PZytAfHs+w+SfzuwWSRH4tlhVvAXcf+4md/ Nj5WXyam9pqFVTzLn2+jm8H3/LU7VvV9KKop0SZxjYmr/IY0G9Y2QUSdUs90 DvVc5c/vLD7FwOyMwbNJXxr+7/4R/4/9o//a9/lfzmn9R875X/s1vqbsBsIX m/7YT/k/bebjBg== "]], {RGBColor[1, 0, 0], PointSize[0.03], Point3DBox[{1, -1, 3}]}, {RGBColor[0, 0, 1], PointSize[0.03], Point3DBox[ NCache[{Rational[-1, 2], 0, Rational[-1, 4]}, {-0.5, 0, -0.25}]]}}, Axes->True, BoxRatios->{1, 1, 0.4}, DisplayFunction->Identity, ImageSize->{360., 296.067755776446}, Method->{"RotationControl" -> "Globe"}, PlotRange->{{-1, 1}, {-1, 1}, {-0.2499999999999949, 2.9999992857143267`}}, PlotRangePadding->{ Scaled[0.02], Scaled[0.02], Scaled[0.02]}, ViewPoint->{1.579482738691944, -2.6184405229220036`, 1.448793810759191}, ViewVertical->{0., 0., 1.}]], "Output", CellChangeTimes->{3.411696500796875*^9}] }, Open ]] }, WindowSize->{987, 760}, WindowMargins->{{17, Automatic}, {Automatic, 40}}, FrontEndVersion->"6.0 for Microsoft Windows (32-bit) (April 20, 2007)", StyleDefinitions->"Default.nb" ] (* End of Notebook Content *) (* Internal cache information *) (*CellTagsOutline CellTagsIndex->{} *) (*CellTagsIndex CellTagsIndex->{} *) (*NotebookFileOutline Notebook[{ Cell[568, 21, 520, 15, 31, "Input"], Cell[CellGroupData[{ Cell[1113, 40, 1352, 45, 52, "Input"], Cell[2468, 87, 246, 8, 45, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[2751, 100, 260, 9, 31, "Input"], Cell[3014, 111, 70, 1, 30, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[3121, 117, 335, 11, 31, "Input"], Cell[3459, 130, 70, 1, 30, "Output"] }, Open ]], Cell[CellGroupData[{ Cell[3566, 136, 3614, 104, 192, "Input"], Cell[7183, 242, 250, 8, 30, "Output"], Cell[7436, 252, 233, 7, 30, "Output"], Cell[7672, 261, 318, 11, 45, "Output"], Cell[7993, 274, 278, 9, 30, "Output"], Cell[8274, 285, 75998, 1240, 311, "Output"] }, Open ]] } ] *) (* End of internal cache information *)