Wolfram 언어

시계열 데이터와 조작

매끄럽고 얇은 불규칙 시계열

Apple, Inc.의 일일 주가의 매끄럽고 얇은 시계열을 얻습니다.

전체 Wolfram 언어 입력 표시하기
In[1]:=
Click for copyable input
data = TimeSeries[ FinancialData["AAPL", {DateObject[{2000}], DateObject[{2016}]}]];
In[2]:=
Click for copyable input
data = TemporalData[TimeSeries, {CompressedData[" 1:eJxkXHk41N/3t2Xfx5p9Hbuxjd09RBtlSaUFUbIUiqg+SaRSSiq0oFKJopRC UURFSJLIVlFkyb7MGPvvPTQzz/P7/jHPfd7L3PXcc16vc859K3gHu/iwMDEx MWO/IgEmprBwfZP1t/jAr1b57wo5HtArFOxOP8UDMZSyi4uKXNBMcSB/3sQN B80NtVb/4IJvkh3i1+I4gf9uwd1PQhzQX9Dqdu4GFxxelybqnMgN66JXEHyi eMBvu7ePoT4vqCSr98hz8oPngIvSZCgf/Ega384lwwtMFndtwp7zAdfcr943 eD7Y5F72kVeKDwoCJVaUd3FDvMqj+LxQHng1ZBN68ww3dJJuPLdS4QZDsoqU wBYeWCewKicxkRc2DcyvNtfhB1nRxcO2PvwQQpRh/l7LR29Xh81UzauSF4oe iAlVZPADk5SgQm6EAJjJc82G6zP+d6RwTfDLYD54sv3GqL0MPwi3pMX4vuUH ubYP3JHH+KFiq3lcqCEfRLNVJOhN8cGxUykKm135IcP1Le4/SyFYNxXKPa4k CG019gv4EUEQtG7qa0oXBJUVYmVJ1oL05ykos8BfSxBi2tveTtwVhPXXFlQe 8goCV5zc7mEzRrtpHYQv8qKCIPTLky3+nCDwmikcqrcTBBO/J1aybULQFXi/ eS8OByxF7y9zPBOGUAexKbltwlB7LM3/bbgwyO3ZRhjzFYa57J0P5maF6O1d uWaUVzYlBPutcvlE7wlBewC2os2CID7yYegaEoKRixeaehIEQeTJs0L1ICF6 +54cdZLOKQIQ5FezEfXx0ucp3hp/ij+FD/b6Z/WE7BYEnU2JnXzVgkCtzpFd EPTypl8SDwlANdvcynW/BeD245iYkmnGuNfIntVqeC8ItuKNL2r9BQEX/VfO NkQQsjVv/zlKEICm5/JJUwf5wUkmJ+nWOj54npKLLx7mA8UP3wxOKfGB8L4x daYeHlDYrtkmvYYbJi4nTRIMeaBZpGpQ6z9eSP9tMhpQxA0Fs5ujRsg8IPzj ee6XBm5gEeCVj3jADXMhe1/ZdHDCXLcaiNRywEpMvLPz2cH1XaTjIwMO2EcV eHEOsDmSf/B9GztEpRG8DDU54IPu6yvdpuxAeIUX4EnmAKnS02FdxzmBtGfh i7E6J9yPIZ3gT+QEA/GXFt8ucMGHNN9BezEu8B0q5Pm0mQtUZ3v9y+Q5wbJ5 6pc8MxfYsI8Pjg9xwB7qwh3kpD+Xcng3KnSZC1aF3ly9vYabLqesw0cX8g/y gkKf32b77TzQ+zv42MkMXhh1PlHy1psH5gIdL7XU8dL3tWgOu1fQCx5wSgiU PEDkBYfylb5fnXngzatkFbN9jPdpcngtISMjVoEf2svPHmdRE4BuwvU3Nj18 4Hn00i3FWH443SBuU9fOD49Wnir6Yc8PGsSesPe/eIA8pKw4p8kHlycW0EY3 XliEosCOd1wwFKPFoxrJTS9peoY2Ptq+V04BofMS3PR5wW62v9rLBZ2+O00E hbmAuPVTqK0HF7zib0raU8JJ11Mu3s3kcE0uII2bb9hrwQU13yOUins5oaf3 TOZgPifEr7Z6ciSbC9oqbz/Yb8IDsivF7uWGcdPlgzaP2378Ne0v4YUhoYAz rnl8MP3qcON1QX6wDTojNVrED6MOflfcXAToesTrrd+WQjmG3Gs8cnVyPi0I arsjrpcM8sOGW89Scn0F6fNIu6/TlcmeksAPYWwHnh/J41+WTzF+OOPq/LrG jA/ezmIbF9sfRUTXCxMvBOAhKfKeDF4QtmjiIh8u8sG9p+fvctzigbfn+pq/ OfLSxwX31yeV/OGi338yNHS1G2bR8vinEdvvsPmTN6eQTZKunwLzNDp8u+te xbYpVFr2yCnj2BRyY006s3LFFIrin/izQoKMBh42bd1aMYnyE8udxzVI9Pe/ mR009SgnoxEzqfHPDiR6SXmoYSjIM4kyzvLmHLk3iSKOP7aPv0RC27/N71aY mUBXBrGJTWKUumVWZmH3J1BZophOzoFJZLPT9Jhv/iR6ocwxGPCMRO/vjqRW +cQLU0h7qHFn0FMyGrM79vrSRTJy9h1W+GVOQtfPvqh7405CVh8nOoe1JpGH 76qFG9GTiLiz+1ZuEAkFhlAycFwklHx8K9ui1CS9fVp/8856xer1M/pF60/4 L47eTR+wfv5QZo8WnUDSyrbTJ6+Oo11mj9vTw8cQn2SCC5fAOLLTvecW9HAM Bdt5n1y5MIaW98UwvawrN7iz7vcI0mHZfZwVN4o4jvcPfbYbRRFLG30EmbmL 4VIThtHDc1ZyPu+H0MFQDUkmjWG0dXjF3tN3h1Bf+Y9trwIZz2n/sxze8Rgn PoI+EobZv2xnlOwta7JyIxilSuIm83eujP7SrrnOrnt5KXYMuZq5LfYSxunX J3/tfMfLN0G/X7hXU3dabhydd9q/YsPHMfq80NZZqazf/bUnY91oJc9qlTCW lST6uhbr+hZqTpLpcib0u6bVvIuM+JxPo3c7yGjBrv76ukbGetLu2/nesFMj k+jl91vyeT8sJ9E5bFet/jZJv6b1hyYXtPV+PCU19NJrgi6HtPWmlbT/0eRG UHlEusZpAuEKDF/YtEzQx0eTZ5r8r6X87Eg/Tka/zSpFxTnIdHlr4WsX8ymc oI97pXObVMQdEr2/tH21K+Re1fZ3jPu0fUSbl0HfPJHqrRR0uP10jxnfFFqY MNx1yZCCqOauN3wKcT5xbzvQMoXiEhyr6nZMISvLQp+yVjKqe3srnLKPRB9X yyv0M0eMjDTvvFKuq8H2yVWrQ9YlJLSLKkCbppBZ0h2NTOEp9H1izv9e8RS6 ICgbKJ1HRn1nI665XCOhMcFKxy5ZCjqVekHjncksyji/QfN01Axdr2hs4Xv7 PWgaHVy83F+vPoNc8OnnnirMoPohlfgvxbOo8vxphZCZGXR+f+/sw4Oz6ME7 7hcRynPo2oOfK1sCZhBNT9Gu3zRMj2oxz6C1FYsyzl7T9HkwM5eUVtGlICbp Y+SdmRRU3ZN99OJZCmqXzCxsjJ5GP1kPedYNUpCUvZvU7l4KsrtZFHtqhIKW 7TwFvRjDa0hdpaALtytLpuMpqMGkceStGAXl9Al8sijC9Mm9S3u2jEyiyrO2 d3xkSCj10A5FcWky+vK3m7fiBwkdX+FfeVedjE7mHmcuGSWh7jMdG14MktGS nbhERmYrplurjEjoxBnjfaORmBw7iF5Yn01CCkiqKIibhIJmnsup38X2A9r0 ZMcpEhrUu9yw34OE7OVVwgNHyCjaUtUl5dMUeqctt25dwhTK6G4yZd8zjSLN z3EuKk6j34/OpvQ9p6CT3TdXSf6loP+yVwWdSaUg89+X+DLsp9HYC0trb/Np RIgavWN7noLYZCWA4jSFzvJHK0WzU5CMZWTwV08yCl57jwXfPoVeMt+WW101 jXaF8t/i2jCDTvF2t/7ZMY2GC9KnKi/NoI8t9Z8WmMhIWzGuWkqehEbb7vPF qpCQ5swqA8fcScQ1w2PpbTiJfFOezu+5MIFmhrdc7Xs0gajwSk1oEo0a6Ehz ck2iFNX9SLJrAnVkZdcDpp+X8NkMY79e2reqwgQx9MiXHRave5kmUczZxvzz 6pNoGzF0bYACoz2nOYnQ5oYJtPZt6U3bUxPIVjLbW6NkAhncJ71gk59AokTW nZe0J1D4wtAzz6lxdO7Zi6QJuwm0flW8zZXWcWRMNHc5njWBkkTcmDaxT6K3 TrGiQUcnEN/cgzPzP8fp5aHjcvzCdyfo+oB2/a2yhUu3fBxJ7+oxp6wbR6e8 NTHKM444H0lv3zOL6dX3AzMrzMeQwcLxytOs40hD5tFi6PVRxJtbdG/x/iiK fHjbWNR/DDUK/FU8HTKK5kwxweEcRQXGlLd7Ahgl7bmbBWltTPsI4nt490hy wQiqcS1/kFE3ip4XqsuKi46huc6Iv24qY8j9oa+12sgoSqz0k9n8aQzdODG5 IaVyHP397+7AW4EJhH97Jmsr9wT9mtZfmr4fz58r2+wxQZ/v1mHZ9Fn9CfR8 cB0mIth18tXL/zlOIo6GiszktxMo6H3ij9oH42jj4J3jj9LHUdV/AaSm5HG6 HNDmebX1KIWsM4k2O9y/faBwEvGdd25uezWJ4lfN6+z/NEEvafq2UATbTFGT qH5VoNTqcmx9phbYh5Ixe3zfJ+MnjoFHPrcFiqfkTKJoDnZBq0ZMzj51Ea4v TqJ2h9NHlG+R0TJOx/RzuJ/bhWISyrG+3l6SRkJL4nGejB6WVRMPrCEjSfNf KiYFU+hPYx2hQGUaJY+NYJJLoe8TWknTw0F3NIUelDLqv+CfeexmEgmtP/r4 1HADCSk6Xsm9YUFG7qIPKjp/kZHJKQ2jY50k+vtR2k92BqeS6fXQ9LcJ7utp t5IpxE3QOlGqPYV2mjsLCz+kIM4tTR9HJinIUIhoUSI8jWRqVcueWlCQyJXa vzLD2P725dJn+UtGmLVMNTrCGNfRna7nz3qTUQBF7Fv8FBntQefvr10gIVVZ J+Kfmim6HZl3KAkSkphCT+U/uRm6U9CECW/Pk0sM/WK52/PZWDoF3dRcz1Ue QEGhUbsuyp5g6PtMXun6hqZpFBz5zjamcQahlRtvpI7MoISgU3Z20jMouNl+ E9tLhp3Y4TXjserADBLtfPVJCj+D/jMdLN19ZAb9zB5w2sA1Q9dnEZrCuMbR KdS7+WYTyzEK3e4KRL3M2SpEQR98vjeCAdYPt5UUZ75ptGn7CXsmqyn6eCV/ u4m/+EJBuJdhxo4F03S78PSD7frnR7H6i4t3532aRmpNVjIJkjPI19Y/ePT0 DH1cz0fiOk8MTCP/CmMRq3ZMrwrcGFfwm0FGLx9rW+jO0PWmkHHWFeZdM8hp cdtE15Np+vysX41Z4kIKCmPWNdjfSEE/UjCD0kyh9/fsTfVDHl3T9P7Q9PzG yPMbr25ntONmml8VvjBNt3O0/lbxula+cWT0e5nXzKA1rg+CdKxmkd9A567g u7Noyf/RPUOfd1MqcSFP0+239WSGQ4DaNLrVUD6DYqeRK/OUxYntFLo9oI2L Zo9pcrib91EX5RcFpbKyhU5SMB5xiptft2oKyad2r5mrmUarpAd+E1Omkdzk /i3HcymofFNV8n9bptG2Ts1i0spZVGOYsvMC1qTkQWa/pFyGHNDGTZs3/Uu+ 14JLptHMdQHOQ5kzqCT7+fZdCYz+0Mrb5uULA2nT9H1zymd/315Eoe9nByoR 58Hkm+onODSF2G/3dNtlkhHu5GbS+Csy0nv+eXdSFglJX2WPdF3FsHMxug6Z 3KsZuGlv2bb1VzeREEsKp9Qt2XGUyvRuvFdqHJVI1JwLbxpDBZXpOJs146jS RdmTSxnTj3YaF7RPjaGi4IKNO/nH6faDdq0qJVDYMjSGvH4pf5JLHEcvkz1S 45sYevqWGte5/PhxdPeLzPs613G6nm4PHrJdd3YcOez72uJhP4G0GlN6ZHrH 0doLt3b0xY2iit6NTxeLRxAVjpRmj6D/XOc6hJJHkPyux21Gd4bRzxrhmz5i o6i6f2A6xWcYLfk5tg8jyQtC52w+jqAHrpjldB1FeJKPf5bqKHLNeZLL7TqC UobDXDyvDqPbT7bpSN0cQuVbuMRiDUbQl5qSskf1Iyh3782x43oMfkPrx2qq Af89jN6My1va8Y+iU19Pih8/PYokL6vlP3o1im6M2s+/7h9F/VrPOSu+jaLR eb62HIExpL+VvYm9l2E/j4ziOOqDR5HEpxqyQvAIyg9NWdEmwyiPJhdsGDMZ QfpsTB9ulQyhkSsmmnczh5HgIEVXkG0YOe5QOnnwwDC6Jn14Pce+YXTITl3B bfMwitxyQ/0xGkasS46QIeT22IFyf2EILfP0Yfr4afNzsWZDY8N3bB6sWE5Q jo7Q+6NAFfj5YaSf+EA8IoXRL/M/X+Kfqo3Q69OmbpDCYXo7xGQ7L3G7YZRz pcqq6tkQaq2b2tSlMoQ4awJnZUmDSP4LW5zb+0FU4ZbpqfhziP7/Rfahpg+r RpDbtnaRBJ5RxLlNzGHuyzD9Pdq60u7T+hN4MP7znhMjqAcECgIlRpD1q1Vx zC6MdWHD4PT+rYx1YZm4pC7HMobEsrbzPHcaQ7ZxzMIbOsdQ+sNmbZauMdRg lBhcaDpOxyGrus7J170bpfcrI+fQ4Zvxo4jqfhKKwkqW6/oHAOPNt/5eSv01 ihZr1ie6XBpFCRdzLrurM9Y5l0+0a27DGHpZZen+Y2yULg9/UgODHBxH0dOL XbHr742iZX/LKJISnnKbEWS0axUurqb+dARtGvST/js1jF6ydd52uc+Qk4HH 0Y+FtUbRWOT3yOk9o+hkjkX0U4ynYyjC49ZGxrpeHWzhfD8wgsquvY3Z2zyM rroTXvbwM+Ql80u3N++jYfp+aqrdzr322DD6a/NogfPdEKKaobCqIbq80eRp 4vf7reZxjJLWnqnq+dmE2uF/fgOG/NDGUfufXhJuaBjhjlvVnD0/jFIfv+4+ MT6MqG5yTKGgH55UgjeE9OyKDCO9GPIsfqIdp0wcQvY1P3opfUN0OabJ62v2 4/1DjoxxPLikSdLiHEGiFqd3Puwdpu9/WrtfzEUPfJ4YQjOFux7q7BqmlzIX cxt+hA2jk70/36l8GEaen5u1rvGN0NeXNk6a/NL0BU2f0PYZbb/0Lm5ec/HQ CLLfdsbkW8UIanVPzyhjGaHLNW38tOvn+ZtCi8oZ+3yAmSrAw0j6sy+USA7T 57PO9Iiq4TpGvbR+0OQkR+Fgwv0Exn1afbT1iefhsHkWNUxff5p80OTi3H/l WabTQ/T581Ngvvcx9X//R5vXn7KnoiK4GP0+oGJOZBkbQFTv43DpIPrl1WY8 tXUQHefMXv2EfRBt9aQizQH0oz7pZmT9AOLgwfsvXB+kv/+a6sYMHUSNkfvw 620GUfbX6EdZW4bockmbD9p60/pRkfMoMI5jDJ1wEldPOj2O9I4/UTDJHf8f vtAu5kOsypig8wIaT6LxNOayPN/PfyaQy/FecRW1CRQbd3BBtXEc1ee/r/Hr HkcP4h5O4jZOoCU/8O4JxH9P/kjE7ATSXSI2jP+lOznKRS+Oo8t2KUc4jowj c5OWVAkXBv+o7vKfjs4ZR4ohM/+VqmL8bTi8xLBiDDm839HbocP43/svm4tf 1Y2jkMAHEr3B4+iDd6qr4ZYJVDmd6nQWJpBaw3zaSYtJNBgn+WvIehIZFex/ rOsySeevVhxXlfZ0TtD56EM9hZ4rAQxeSnuP9rznyIq7eB8Gzy2633TpJQeJ 7l857jHWqMRHQnn7jr1SKZpE5MEihw0sJNQ9RZxvFSDReRDtf1OJela1smR0 QHGmgIQjo5FtzX6m9SSEp2T2P2cl03m7XKmDiEIBCe189KDcsJaMPK+GB+gY k9FKUZNW9mES2mz4baEunIS+Cmveu+zI8GtQaWJNCBkp1+/a1HuZhG6HU/Y9 q5xErPVq7jPiJDSbXBfrWz2JSjf+/dhQN4lsyxRcH7Zi4xN+VfhiBwmds971 p16RhNI7poI9vk+iWx7qHwVjSaj9Pl/s/WgGP8pCs5cVx8nIsF10ZpckYzw0 /kLDZTLdpF0uEVN0vkPzA3E33ztguZ6CDp+cby5Sp6D+b/v+c6qfovOD4b4T RWKPp1Dh+qcmaUenkD7zm9VXOqfQa1YL/18hFNSkePf66+gplFj98KZX9hQK lHffv91/Cm3D8UTYGVMQqagtbv7PFOrJVemO8WDwM5q/R7j9B+uh29h8WKw+ 2vOHwStp80tbB7++253eFSTE3wrFLZMYH10h9ND/2hRydPvN7JNIQcQrbL+4 /Sh0vtIy5inPKTiN3H9XsV6umEZzkj8flc9iOD1V2qrfdobOy/bdvviBV4RC r4fmD6P5tS6vbafgNlNQUQi5zm9gil567KZ62hg4fle3zwatAxg+f+SUMWtK Qdn8RZJBUQz8LF4sHP3Xk4JOvN762OEIY57pPPWffPkdXqsHdxl+RMdq07zY QjIquGeyRsadjBwV377hTGHwcJp80eSQxleT7jE5E7pI9Hnc9Jxje7QCGX25 vHNh1QyZ3l4PR+44mw2D54qyUiNIDPlpSpxe05HBaIcm1zS/nvrRsIvM20ho TZ/v3zB7hp+O5sejyTVtPx44dvJ9+NQkfRw0Pk1rP3Q9OLw9Tab7H2jXNJ69 Ye0+XjOvKeTc+jTzWd8UorozNhVR6P7N4pOB7xNlGDyMxmdo8k7jL1k9ITF3 +Bn8///LN42/0fj6o4TY0ldNU6his0+HKDOF/h6vW4jo+dsMf+PPQx/5xwQY 69etvRURuSjI47XcC8+FKaT+JLne3QWTu9XsRecJ0/T+0vrPrpNgpBSD8fRq yTjzWxQ6H6T5V2j7mLbf8qt/JW5UpqDQ1r60294UtJDyyFnAeRrVEY0z8fun 6fyedt+4c+Id550ZtDdA+LXChjm0HEecRbjh5KM5uXNI93sRocF+HjFPC2uY vJ5DabG46xs155FL4dq2+IVZ5GqMIZ9Ns8jftXOP1MtZdJf7xBljzVnU9mAj xzMPRqnqeuCI9fsZpJizwxI/P4M2/7x4YPuBOVTzzuax/605NDxQZqoUN482 n2b3br0wT79/LLb9jlfeHFrOZ5j/Z/fn0S9OF/XwQ/No5ZvR9Vd651CI0TNN baV51Nf6aGbn43l0i/O3RVrUHLqKqVUu/TnU3SyQV86yiJxj/CWsfi+g/FpF kR3MC0go8EOj+7Z5erl42Pb0373zaDyp6ZCl8zyygqk/tYVzaAb/0s05Zo4+ 7tM2bNI2m+dQXUUHmW3dLPq2aFp77dosin3XUJaQPYvGh9xjSg3nkEOGYeoH hTlUkHn0g7rZ3D88MYtSPD8xnyyaQ89VchS/d8+h2ID1z/g/zKH4CMxw3WP0 m3YtGrxHdpp1DplL5Dky2THmxfTa7+xnI3NonhzWmSa0gD5dYTIq0FpAzRuo kjX/j/cwymWctPAPZy8gYRFU+T1sATmypIaOXlhEgSy8H28LMAG+5cTNVPIi 2ha44BlmywRSJMH44c5F1JcxFf/EkgkOVhLwfpuYwXafXWrXTmbQKoqrCA5g BuUThNHvUsywd6rb6044M7zccYU1vIkZGgu9RNgSGNcE79tMcXrM8PNg3MVu fWa4q5HZ4GjCDALUiRTH3l/y0zLB96acqr5dTMt5AaJM8POx1pdtPYvo2fjH XReqFtFHIf1Lvs0LqGUyPV1kaOEfv1hEF5Ov+6oEMgP+bLEAcDPDGibj8+ID TPRr2Y27zB6/YoJlPsUEV/N/S3EjJrD5vLepN44JeD+FrfRXZ4bFfnbu1zhm OHdkYK7djhkaLkpFGssww45kW7J1IRM4v/JcQbnIBFQzlN/ABNhsFpxKYwKV p6Ycn08t/vNDM4HxUoCbCZj3NeVy+TNB3U/JwM3CTLD6yDFBFhcmkFZdmdG5 jgm27DkEwluYwO/Ic/aRj0zL+T/ABJEsaquvOjDR56VHSb3fq48Jmt8MGPge Z4aF0YmOmK0scH3K5OspbRZY9oOwwKqFG9YRwAI/rhlgiIAFlv3wLOAmtRv/ OoMFSOuGn54bZIE8p30phy1YYRk/ssD5LFn/A7MsYJSy80J0EwtscBD3Jn1g gXW6AVM56Yz3LSdCWo5nscI1md9yhZOssG79fxLbZdiA51jbryfnWMFQO09/ ZRErXOV60/j5FSuoe/gEbvrOCh4T2XUBCmxw/q1OnOwRNtijfOxUSjQb/Hi2 au5dOBvgf1ytWhHLBrriYzevN7HBL287vszoFRBuUrz+8BQbVMsQL9/IYYOt 1ryHhvaxwe2tFqS1q9hgOS69AmJn3FtSPnHAsj3nhPc7XQp+2HLB/Jlz7OoS XBDkeKllWJYLqG6zFA8uWFe8d/yTGBdMln3YVaHOBeTGvzk53lxQvzo31eUW N2yyeZrtcYsHluNvPGBdqOV5rZyRL/Byy7EWHjs+2C7gqRpXzwvzjgvDMiRe OImxYP4PvFDcvO74thReEJ7Wua8zzQs8ay6tz1vFB00qXRLVHnzQk7d3zyVz PtCpuvpnQJgP9gkcuxPFxweo6tmu3458wOe0MkBEnw86dWbDsswFQSa8Q8+C KAjCuo69ceOC8O3gnJO/iBDIdvw06pMSBqp3vaxECPKC8UK/RoTg5pqKRRlr IaiCW+6lyYLL+Ry+QhAr1lo3dU8QojSCvnuXCgLrqi0v/hsWhIs7aj/zWQqB rd5R1lotIdjF9GvVudVCsC2uWzPaVghSWW7ctLstBBx/k9YY6wvBcjxGEPAb hw+rtQlCkQTrgMlPQTDQcz/bNCIILYVqz60LBeGyRtzWbbOCwLOqe5LEKwRk Jbs9bipCkL33mwtwC8HWZ7uVBN8I/tuvgnCTb9qXXUiIPj4JasDQRRhwgokH FJAwEKiBYVEhsG5R38LnIgQiyoWvOI4Iw7LfTxgG39RtSM0TBteFgtchx4Wh fToy4HWGMHQFY8AjUxheDPc85C8SBivliJFgQRyohpRLzsngIC3LrHuvCQ5+ yo1s1kzEwSOznBVkNxHApD7tbowIDAYaiP4WEgWxOy3cKVdFIDNNl+zxXQTE Mdqm3CUCNgXl5/p8ReEZiffX9SYRwK09597+SgQOC5pv6osQhTMJZ9Uv7xED 1jqXZ2l7xKF7Ii5LtlUc7LtPGlDMxWGNpe09c4oYbPBxbrG7LAYOQSLb9rmJ Q5j8wMOmWHHgGFiU7jkvDq/GhqvcSsTBy1koK/GCOCiRudIltolD5X2NwIMy YqBXX6CbniUGCZIPLpy4LQZVqtNCb0JEwUly0aqrQQQmunS1/+JE4SvJtvm0 oyisPxaj67BFFDCWPLD4SBQevr3961ONKHAmbSh6u0MM+CpkgsdficH9Mpbr +vLikPjo3ZfN2WLw5riMie8pMfj4bUbxznEx8LgjcDUvGhvfEL86u4QYxJTV 3LHLFIOIY83punxikHF/PPzUPVEY8/Y6m1YqCrkTwdfmNcTg4orT1jf2isFM 0R11cz5x8Dsq+/2mijjAEvARg5Yif4ONiWIw/8oq9NsLUWBF2V5vXuBARbmB uJAvDMvxSGGoDDSMepGOAz0O6zU5NcJw/FNIa98jHDBLmoU7VQvDY72+U/WX cZAROHeuRhUHQpJbxlaz48B6wvTwqzph0Nh8d1BbFAf5XWc6NqzBAft6bq0o dRwMsHjsbXmAA6p3Q8sfB3e9095wFeAgYtWv52GXcHCKdIJ/wg4HkpvPHDRu EYa/7hjQExCGFJ6dsvv2CkPIL1grVi8Mm4VbObYVCsP0dy6y55QwxJmFCnB1 4OjlrV2LYUHconD0Y1PCBhZRWLTgk1DmE4Xqp3HG+gmisH2M7/TncFH6e8v+ c1GYDCx3cSeIwhJstBAB0eqtLOpCIvBJ7mub4RbcP72Mg5GHaeSkQRzsFSad dJwQBpkQg+9Ri8KwouwIOx8fDs6pOr1XzMSBqUd03zpJEWA2XH9twU4EtMai nqn34mA5Di0CSWdHdU/uFYELDmVPLieJAGdP39ixWRxM7TB3Fr6Lo6Kn8NOl OMBpH7XQRjiYsLrYU/UfDrh9X1ytdmLUH7mVbXFHNQ4ufrro2tGPA8/jFpM/ LEVgOV4tQh/P+0Gfdn97EZi+dZkz/pIoGDifahyaEwX+19uHaydFIVizhCjV LgaOlg2dhWLisPUoi1dWnxjszG4Qa14rDiVzGxMldcXpz7Vef7SLWCMO8fxr 35Zqi0PWR2/vicuM/UKrj5n85aFmhxjU7rqwViRFDG4n6P9mKROjvz/8d/Oe QwRxWOajjPa2Jgmf3OwjAcGtCgte5pJgQAWwRyWg2bduJmlCAvCEm98CoySg gOpWAwk4wpswr7VaApbzUiTgUum6r+kmEpDUTrb868m4/8f6vzhpGwlwoBLV +xLQRVxZtqNeAvYcjr7CckwC7pT6bLwWJgFvncf/Sn+VhCP427LtbyWB6tbp 3LoS4r021qvipeDD7Qf73QyklvN5u1fCk3qOjy2wEu4xv14hvGclqI0r96dI SkHn7qe/XduloDVP6GyzijSsG9/ZEZsoBbWre+dEDksBN6Z19PHSYEkNmByX hpuTpWMFa6Qht7XGfoFDCh65zWU+fSYFbRWGX0s8pIHqrdX9LA2na5OtCw5K w4UAIWeHYanl/NodUrAzdM3iRxUpePBgJrkuayV0BQk+Ft0gBQ3O/Htxgith mT9IAxWGJiYy2sPIMpfIHal/dlQG4i4V3zxeIAN7egP3hx+Sgb4NdhoX+GTB dvqkmPBTGaC8+3xCQEcWqF7P6y4yYEpNkPoqDRiLNB06KgtDkaKdrwJlIYlK e4vkQCHxQtppd3lYynvRkQdfteEjiR1yoKRnzdfxTA7SvxeOOH+WAyaqISPI Q5CYrtiZtfJwpSfBP9BGHqjoJPM/ecDQfEy0rgLE84aIewkr/LNjCnA8OWJQ h6AALRhcaLuhAMRP5hu/lCvAsxKxyZ9uinA8b+r3+SBF2D146lonmyK8/IMB wTEFOIyL+Do5pggVcnY3i4yVgApv25mUoMZJdFP/NSVILt4jrXRZCXCFty+M 3VACQ6oDJVsJjh5S0tJoUAKq2ez7pgSyxnNBxXxKQKWnVpJK8HGNS8O7ekXw aNZt4etSBGGqI1VECeoe7mF6EKIE0QNxkr+SlWDXk6edkX5KAOUVcSszsHox uOxzWAm4JKuef+xVhOk7DWdvrMDaHT9asemDEvAik9tmWHu5r45mr8pVAiPw f+BMUIbGW1dCveWUobPlea++jwpcvoEpTgNVWFcqvPbcBlVQ314kfv0+dr0W 09z+qtBT50BI+6oCDrM9C3/7lcHoWLqohKIylMs82CQbrwxU2lAgqwwm9tUh wneVoF/jh7uvEjY/KqwgKqAEmzPetti0KMFokM+5uhkloNKhgkklmN6bKvUV pwTXKt73dLEowYqMeYGndQqwHJdRgB42DGkaKtLXUVYq+oj7ZwXY2WXQiuQU gPnMn88v/mDrqzbEV+qkCL3iKn26jxTBQuj9UZMbimB8//UWmzWKECcTv2r+ pyLck737RWZOERQu2Usf7VOEvjuFfPeqFIGqNuzlFMEv8R3+5lpFYMXMj9o+ RVjyCwxgctN8d4XfJgWQPGTTl35eAdRVg6NueCqA7rnnigF/5WE3jzX/+pfy sE0k3HlyFyZPVL9YvQJseaWaYXRGAZb8AmwK8Dvhbt13KQVYiicPy8ObwsiZ z9vlAWOne1yd5SEpppVN4pscLMcd5SC/V9+IK1IOprYoqz4QkoMl2B0pD6En iaYRKfL/8KA8UMMihYny0NuBAVddedhHFdwqBeByXZS/0qoIxSUZetsPK8Ll aItXEZqKsJVKjOYVIEseSRVlKoAHeWDj4asK4BS3ZXiFqgJQYdHZ0wog+GRA fNBDAfr5vX25sXk+f/5eCK5EAdi28Gs/81GAd6NCeionFSDN6WzUKk5F+J0j U2G6XRFCsg49XbitCAM9v4OPBSj+s3+KIPr4O09tgyLMGW27J9vAkFdayZlA vOj2URGW/fWK9HqTnGZsqvoV/uFsBciNiSk5p6fwDycrgH1Syf20F/JwKHk4 97mQAhj8ZqlXq5AHahg+qUAevqwgaYe+lYcSo6ebT65QgOV4rzx4GZStaNWX B1Wzj1o2d+RAJ3z2kX6oPCTmYIrUSR7OpgdMBpTJwXJ8SQ6kvF/3bJ6XBevX uZ5PcfJwseqwetg2OejH2MmiuixYtJl4a/+UhZjvdtfvRsiC2eeWa/v3y8Ey /5eFl6FeGeJ2srAjnykwx18Waub57aJvyQIXdcFi5cA6+vB4v4IcbNzTw3LN WA6uz3arYcIPpbH2F83vy8BgbMuuX4ZywD91eUfiRllYiNTb8Sxblt7+cYxt uMfIwIHCIj1LZ5l/51NkwIC60UJlYEb9IusTdmmYpJRsOJEpBbuu1IiE1q8E KyWhleWFUtCUtEfm4oIU5EbuvyJ3Rxo4E3934VjkoaMjvWRGUP4fT5aHpbCO tzzcLL31ZFsPJv/1XHdiKuUhsvtbRvt2BeCnOqpmFaCTv1E9oVIB8j/w9I9i 69gQ7MlR568I9mY15fuFFelyyqFSmz+vhK0b1dB/lYel/I0Jeag42NkU0iz/ j6fIgzbnn+PSyQqAtu7IezOnALH6rhWuvxUgSfRdEzNFAZbiWmkKUH/t58LO boa++OWu89sc09/LecGY3JVdXGQpUoDwwOAXytcUoKohVufBCwVgsc/1HpvA +j/xZ0WLuCK4RLoMfe1XBLa+qfnUWEVQlAzZb7lKCZbyDwlKcBZ3feOAjhLd HtD038gfK1PudCWwzch0d0jFyo4fNcLxSiC3Pr977JQSfH4tHd7Rj+lx+61P 48uUwH6L3ctqJyUwvfFysyCP8nJe/jllsPEQUK0wVgaqV8x/lzIET1Su8/JQ BmxXK3yoY9iZSefVO5nGlYBqXkprlcDftH5V4D0lEHR36tB/g9kP1bdnsmKV wHwlxth3Mdo/c6X64c1WJehyesOzY0IJGs63zWs8UALpQu2a/S+x66zNk7E9 yvCC6lbCq8B1angwXgWePgl7KBSiAsECNlCapgLcbd2j696oQEuLSvaL1Sow 6vhQ2GeNCkyLMHVJHlKBg5cE//CMK0MxAWvhj/LyuYAXyhBoXG68QVwFak+s fXN8gwqcGseAa73KP/6iCvd1JD+sXVCB9rP4VzecVf/xHlWwjtlwc42lKmxf W9Y3nqkKGSHUDDxVsN+BWYZfqnC54IzLsYN4kAx7XOL4Bw/7qQEVKzWwi7a6 jM/Dwy+PGy/+rleD6l5RR0usXMaFarAcj1GDL0qrP2tLqwE1u2+LqhpwLSr6 1b7Hw1JcnwMPyV8xA7odD4tPzEIyjuFBlTkgoLVGFdoz7uaRE/Ag7k1aIxGE h7x7Bx90GOFhRUWC3uGbqvC+X3mH+zdVOPkoa4tnoCpcGK/96DWiAorOftum sPkTFhM9aHZZBTTir7f2YiXF0dipE7PPdj7vUmpCVKHjV7ifm5YqNKY6T2zO VgU28wUetmhVev1yxemlPpFqS2J1JFsd0p2LJ3W3qUP3ekseGy51QAsNd63y 1OFMJc46TU4deBMfnnS+jIeO+TGPggA8iFEBO1kViEc8k3keq0IEv9aaqlFV 0JcT7HNowHBB8ugpj2uqYPVcGTaUqELV8Zyw33dV4cSP/jrcE1VwLk0/zbZf FfyNlIfzsHIiTHLhqxFWmv2+xGeL/e/IUMOZj6pQXbtCJ+GTKuDUP/Uc5FSF LOsvFlFhqqD3RX6FI4Y3lvG+KtSmvitoO68K2sNIXwYb//dvYreuFasC59Oq J3IpeJiTyt8q9wRPH8fUobAP3vvw0LaQnKyKtbv5TrQbcbcqPPy5skWDCw/U 8OreG6rwY9eDd9zNqvD3MvuLgs2MdZJ6ZUv6thYPDdQw62o8BLQTuE9+wMPA ls/rRnbjYS91QerxgLGrGt3neHjT+Dk1Lh8P/SnVxu2YvCzzBjUo3Vu0/9A3 NUi56iYZ/10Nsvk22r4pVYPWgpIfV3aqw+4oW5yajTos5Q/kqEF7GQak6tSg 7dHMzsBkNeiVnL0S/0ENIitPsyowq8NFFtvyC2NqYKT6fqcLnzr9uYeI5aje qBo4PchKKDuhBlG8MuYP9qjBE8V7rFc68XAq/d5mbT01eE3V3H14ICa1nfcb wMN0rLZlym887Fa/8oRNWA2uXK1pF8L6R+vPFu9byflm6uAsLOwvhdeAJbV3 QAMmv9tsVfTTAKGQn4sfnDUgyTEhUPKSBjyqFP5WiZXCs2xOFx5pwJPBk+VG JzSBS3ycM6hWE352OeAK12jB4naPop97teBK7o2I5xVacOzMgdpnI1oQRg3f hDKeW1Ez+UlacMr+Q5qvtDYEPnpvoXlHGzC2f/Ybtw4sxd1+asPu67j86nXa sE5jU621oA7ME2yO5FvrgAumDlcG6i7zWU4C8FEdzK660Fr/aQH4CJDKFrz2 nhkBjqhUhx7fQYA9ubzZfAFYGdpkseYIAbYe1ipc90n3n59NF+YWPp3HiesC lU692acL3JPnLNb91oX0A+H7blwgwOU0h+8aOwlwpscsPl+EAIV64W/t9xD+ nX8k/MNlBKDSrYIHutDV4bvTRJ7wz37qwqtGznkHFQKwPmUW+s1NAPbJtzd5 vhKAzM0zzHFJD8a5bR1rovSW18lKD57kX2g8dlIPOu8m3v8Wowe3P6h9fv1a Dxykj8o/M9EH6nYxs9NfPq+4Sx84XhSc7sWul+Jep/WBtLcxIpnNAExKzk91 sRgsn8Nr0QNdqsJV04ccj8isaicD0PnY7EPhMIDqLdc2sRTqA1Oo9vaoID0Y GrMxs/iuBxkGhPFn/Fh73MefXjioB/Pre98978b6qcy5FX7oQWFA86n8Yj0Y qTz5Nv0lAZ61qIrGnyPAjGeuHU8fAajw65kf4R/v04WD8so81yk68NX+gs8M Nh+bRVee9dEkwIb11i+udRJgKe8hVg+af1g0KWzVA0y7rfPp0QMjr9lqiRN6 II1cV+p9IIBWTEAMrkQPom6x815h1wcP/lcjEi76UHUkaf0RYQMImpUlNYvr AzXt+Qo2jgs6wfzN2LjynL8Fq4rpg2KnYHbjoB68Ss0y616pDz0oo6NUVR8I 1HRKd304NzTMXOyo/8/PqQ92k/sGsm7rQ+i6pnDcJX2wKHG5qoC1s4L64i0D cKs8E0ReZQin8yvTcURD8Dr/wyrngCEsxWs3GEK338VHc7mGMCKbPhtCNoRz Nh+LT3QbQoDo/J0bOYbwgvMCiW+nEZik39dsIRKBeopE1YgI1GzAfkEi1BnV 1h8JN4J8y//eHZcnwvlAly9u4kRYitsEE5f9sG1E2BxABs1JImhmzGW0nSeC NvVgkJAxSFIDYOkmEP08SQt/wwTevdr5/rCOCew9E/8sMtgE3kpcVsuPMIFW fJT3nhIT6PZVat6gYApXdiQG2deaLOO+NhNYylu8YwKVG/gMb3uagk9l+/on 902g4GdwfhfRGKy9nDK/dBrBMWrAbqshmHcWe6+OIELP09mLv6aN4MH8t41J r43gu+bEFndWIsg63ykuemoEwmeY7XO3EKFwYr7xyDoidBZNHajOI8JuPvGi rK9E0IuwdTgnbwwhYuT8d83GcOXQp+5ULxN4+ejt3igpEzClKoqHxnCbjdjb WW0MyRrO5KtxjHFsX6dZeiffFPbntfsm55n+07cmIClV3CoHpjBlLrJiZpcp zN8LbjAkmMKNGEyx+phAWOjYC0sjE1jOPzBZ5iPvTeB27rDb/ixTqDA5gePe YAY3teXzZV3MIIhKiO3MgJotPBhsBpQD1QezDM3A4Zf184FKUzA7epmLUm0K Snevv2ZuMIalPJwoY/CIKZ0kZ2HrNpvLufDKGP6rShKwjjeGFO6xta9biHAk 0vnkQqYxtB6VSpVxJ8JSfpmsEfCyaMaKrTOC5XwBI7gon+y95prhcpxjrz6o jXT5XRzVAx7qwToDRmlkK7rA66sHnqD7vShCD9i2Y5qjD9tvG15u7cnTg5nd 21MrA/QARz0QIqMHcT3MWuNKBBgwiXxgiOmvHTzP6+tuEIBZbJq0Sl4POK5d NP18igC2+58euCKrB2vMgyg/vhMguCSTY8VxAuylOvg1COC62U/+qhemHzSm W9wxPZpxwJK7OVUXHA/fOlKXqwtjEx0xzWd0wdx105UwW0zvfmFe16KrBzWO 2cfN4gggj3eQ+LSSAL+ZfTblRjD0uRLpVo3/oi7MYGrGX4sATUp8QftydOGk lPoO5VYCtHrw/Bf8iADUMIrcEGH5XHUZAS4+sXyu/J4AHzWb2/de0QNMqkNf 4PVASEorLeOOHtziUSp5EKYPyp5cGe8zMf0QvePwBMEAqGnNPBf1IYjQ6HV6 QP+f30EfWpXR761VBuCdvs8TYgwAPTgvUsNvCCcCXh9KBEPo9PvA9+a2IWxv unIxxMTwn//XEGSphj/EEFomjD76HDb4xycMQL7RjtvnjgGEfsuSTtxsCE0Y HHHF9Eo3+SNec6MR9I8KVjoibP/vN2N5qWcELtTA5QUj8FSNu1S8jbh8nvwQ Ea5ya2RHVhNhi1CQfraaMWwLKOnwYzX+h3eMAX7mbFEdNQbuIpfPJw+YQDvx wsnOPBPYUX9sN6eaCcj0fOR5eswEvrZWd6rZmYCs4avhx90mcEDJ53wGtr8w NuPvmmECR6xtA9okTQGbvendDSYQ0PHd03K9CXyP+iygdN0Eqi3GOVgTjWE7 dePuNwaTstrDo1PGYOOe4SSWbQI+XeVirzD9c8Lf+Xb3MxOgho8fUkygHj+u 3H/LBMIzZup0z5iAxX5FA/Eok+X4n4ApwP7+L64JJsvyw25Cv16y5wPGQKAm vA4SIf9S1Jc/n4ggbfdt5XofYwirPVpZymSybI/uG4PAaMbpj8PGwIrHEBvB GAqjzZ2y+oiQIXk+8/kAEVKu67z/e9gYdtverX9mQwSJwzF+j6Ow+jAxG1Il wvOhfCNFaWNg9kvSmcfWpeTh2tN50UTYKW89tlvLGLwpZ68LlxuDamD28GU+ Y5j9mw3aHsaQNCsTx9JEhFPrxsa4mI1B5PDr6uCDRNBqWvG69jsRlvIli4mQ ZN8l7tFqBN4tXg4zi0aw8asvx85gIyi9n6ZLXsD06P2ScnFuo3/xKSPoNXYw XBtoCDVZHwp5qwxhYbw67peqESydx+PA9MaAMe5rkSFQs2Sz7AzhZvoG/ttg BF0/Lue1vTSCkYOZXO33jEC1Y3/o7iAiLDQX+RuQiRBmZWF/ycsYsFXiT31p DAFifofXFhmD3C2VKk4wBlcWb2EdQ2OYSXvlrksiwo2xwoZ9q4yBSusH+Y3B MzU++fpuYxipcgtcwPS7J9WBQCECXj80+qMUpuc4qImyROD36+cuDCTCmngu vWtzRhBKrvPLESNCmeq+xlWuRvCRVHiDG5N7mj1djtMY0vfdeH+eNqu+IWhQ AVm+ASydl7yM6UUq4Y7WB82NBWJ7+wnw0uqRcQCGJxypB1Uxe7+E77dgerKw +eRPDG/810FpM+DAnvfGudgc0gMPv9yva6cIMLbH2GCmVROonzGYEtYBvZ0y TAc7tKD+S/bVQxEaQL6+1p/4BMPzBx6Tn06pQ+bXYr6AaxjPMIjNEHuLh16T F1xT/+HhPoVyajBNHS6cubDmoZY2GHkUr+ON0wTxlAHDhr/qILV+yC6fpAFS VKJVoQ7R4bEirLwaILbvZZWlEcYPzC7vyr6D3c8rja6eV4ced1LU0SisPgxl /XZXA+bZvsbkYA0IogY6HmpCUSfvQqSXNsjzZdV+OqwF1GMXChu0AMUfm5Dy 0AZONrNE4mZNiDP/2f3CRANuqNn8DV9QB0WpteKpHuogtGU31z6cOpyPPypz sAUPxqYRDedOqdN5yQGrsEcuLniofYFNbA3+n3yrQupl62FFBxUoXxj4nt+q AkvHiq6rwXtoLo1iVwOmlfftFxXVoeGg0TPN02pQKHD0Y1MsHqifF7h9WA02 cTn2kTzVYdOztFMNumr/vpOhBnrKeNwLbw0IJqVNlh7VAKd3L54GzanT61M+ vt3uBJPGv+81qP+z+4z1WMYPDP53zTXQuBzju8txK1UYePffvS1RqmBzdQXu RL4qeI4sHHnyV5U+rk7dvfZbklWBukwyrGpgfeLOmgvs6qBWrDPXmYaNbwXG 1EXUQIqaaBKrBjls59/dmMKDclRqxfkwPNzQwhA9xk+fWHv+N5uoCj+3/rH5 I4C1Q02frlKBC9+cm9jylOH3U8PRe39VYCl/ywtPL03VvDKHXuCBGo5+y6wG 3WU5f+oG1WAKMxNnUtXgHtv8adlWPKzZ9ubGdaIaVP6Q366ZogbUtJMPZWrg i4+5131anT6PrIrvk5/LaYLhpOOBvN/q8K1ncfOaW+qgrnyjydxWA6TZJ7ZW WWjAB01BS3VWdbAubsl3oaiB1efbxOxZPLgMfR27rqAGaWWHtr9gxkPVDdX9 6Bcels9rq8GIid2akBt4EKkL0k68g41jVPdkpS0e7o7ZCvZi41k67y+H8eaO VtmSaDzdXxD/ItkjdV4F2lYKXYgJxcPfvpcrWzE5SaMErDkYqQ5pQVRPvzow ZxAPhiB1uL1NOD3TQwO+sWCI9LsG1Dy86RXQpQFUeu79C7veiGmKCEzuidUJ FG0twL+xw9tjpZgz7riVsDYkR75tfWynBd+jzf58ua8Jab/YIyLrNUFiB2eI 01stkH/+vO9mgza05dZzfHyqA7Eux4QCt+r+i3fpAFCc7qp80IHlcyC6/+Ja uqD3ef32sQ268Pne78WL8rqwL/X3QWchDIcI7PzD5Uqg88+KbUJGX6QwnkQx eL0NRwBq2ovkNQb/7Bc0EfaLYly/VqR0rL9IgD8v+vY8vE+AdpGE8wFNGB+W /2vFdFQPKqTZZB5f1FvOk8F41upjry/x4/TAhxn3Mkxcb9mOK+tBggu20cII QD390HFTF55cF/opi+Gxda8tbmrqY/zrq65QcDmGo4KKfWIxnCeWOWLElkUA Kqz4EEgA+0tCTr8MCXCVeix3gx6swMRPL0UPqKe9U3/qAef2aIWcKT142x4j eClYHwJlpAc3HNKHKC3b2LL7+uBPTbTD+KvYzz+KpUoMnho/5kV+9kufjr/m WzDAFaMPG/a+fjwpqw/uP/JaVJn1YWbsmhiJSx8Ej+xi+jWiBz/+2yDAPaMH S+cTQvXhW05VX5SWPp2/tu+zHolfob/8faQofWjxwRRBiz5gKGetQ5U+OGQX pnY260Mik1HB/j/68HV6VMv6DMYDqR/U2aIPhmvLN1X168FCIX7tfrw+nHnc WmPPrQ8Jc+VloZswfirsa9fYqA9nx1K2hjXoQ2rv2YhrQQbA8ZUQYXvKAP72 K43G4gyBQPaI+GJmCBWuM1y+PIag+Ya38uxrQxAYMX0q/csQ7k9jwFzDCHI4 jSU36xiBXsF9/nHsuqk3QJOsaQQttnt1DpwzAhEbDve3N42Ab+UM/iUbEb7f 8dL722MEe9y/r2ZtMYIh75R+jydYPdTjin+MlvO2aoyAyyBwsSbOCCizFfur fxrB6RVTrLJriXCtUvf1FYyHSudvlROQMYL2mX6075kRiFHigkoqjWDpXDcz EQoeFq8h7ibC2Ogt1o8YT7nUum1yoz8RDpOTOfpViDD8n38c0z4iLJ0vOEGE zJRt9szWRNgPp16GYO2ZYvTCu80IPDDzVcVJXP5e1lkilN5eqfujE8MRu49u tcwgLn/nqpEIhhh8rq4kQvmlpse3Zhk4a0hw8el9AQw3Rv1nEBBgAoNT7802 /4fhUWrCjJvJsn/Cz4TOE8PnT/546mwCucX8TUnyJhD/xSw7BePLrLssYs5g eNND+/Dek6dN4CfzrfwDQxh+1X76wTbcBIKpiUZpJqD96bHgFiXTf9/7MYW+ 0+biq7lNofRs4e6/+qaw8+BB1yArUyg6O/L+EfbeUhx0oynkyLMXk41Ml+OK nSZw7UPKZWtZU0haf8Tmib0ZLOWzS5vDLe8m+VoVc7DksTkqN2sGmtTE+2qM X27qup8qbQYX2UfF1h4yBemUZ18FZkz/+Q1NAJPuynQeUzqOpvVj9FxYdkSO KZw31k+YKzCFS3qHtRWyMN56X50lrc0Mtvh0iJZ3mQGZzyFIpMgMaj0VQn14 zeERcfGJ2RZzcKQCeG9zSJO4kngOmYMGdaHPmMGxjRhSCjEDM4tTY18tzAEy Okr5sf8lbDqkfI3VHJa+s3HODJbOPWLvBfM3BwgImIHGhz0HF0mmy98/W8D6 tz/h54FEU/AWYUsIXjQBJWrADZuXVX88P2pqmsHx8LKwijmMr+/vLlYvN4XZ agm5vVg95u8ar5o9NYWlvORPpv/sAfZc8Y52b5sp6AbdY35tagaJcZVtHdFm kCbSY1n32gwqf57XbcsyB6r7onvBHARsxfx/PzQH9ph9w32L5nDwQ+qc2C9z WDov62QBY35dZwt2Wix/V6vfHKjhLpbv5nB/H4aUeSxAdtNhH/Fac5BRDNqo cswcBAfit3v9NIfooxixLzBfzuexMv/nF7WAyZWvbEksFpBVhxmEM+ZwBhOf /9TNoNXyqNuDH2YQc4df8zv2fmfbuSuXosxhRnVDzF13M7gkOkd872cKqxuC JvXemUJvTvfuw/2mkFf+dl3KDrNlXo89v7157/qBdlOIpB5cyzUFjH2nZ0ya wp09IQG+9aaQ9Uxt8O5aM6Cmr8efNAP7UM1TTX1mwEQlfrVmsHTeqQVbL+qE 5ZqBBeUca1+MGbhnqpZLCZuBV/zzfs4LZnCyOl5xHyYv1HARXtgcuIxWZatl mkPJbFdJwB1zwLTT0Ud55rDNSSLJv9MccLvcFiKmsPkky7N1z1os65FoS3ht yck8XWoJJxPK4zY1WUIkMeRH0owlmFEN/k1LoGZfv8uzBOpnw65mWi7n3760 BE6qA8zXEgSTV9cOvrIEj7WxsQSiFfA7PknycbOCGUxtr56zBHLkPRnjC1bw uAxTHKVWwL73tOIPA/TPD4zgOiElecgYwcve6a+r4xGYNo68/fYUAVv8DduS RrQcbypFQA13c88jaClu5JxnB3jcnk7ewQVATV+9BABlICi/6jDA27hNj0+7 A3Ad+E98ZCvAZZ66zhFtgPd1ImZPVKyBHXdCJCzdGnr6dzqv/2sNFneab7// ag0rqQBsszUsnzO1Buq0GVZYA+eOQfI2O2vArF7b/lvWoEFNAJa2BpEhjYy5 YazevwkE3vUAjYIYcjBEy/kfnwBWUxOup2D5u3dbrKHF7gurnLj1cpysBiCe O20/6xeAzua1wqfyAPjPmD06EAhQut88MP4QgnM7D7Cf4ADYd/Ol9BMXWLbn GN1Om4HxOhUA80cHPq55CzDOfn2afwGgvzH58zhYQzj1eGmYNfDWctsV+1qD t31C5n9YP+scD0ofuQGQvW70jGEkQIiIPPdeMYBt5x2ZCVewes9GBs6/B9C3 9DrH0QDgwl1ckqFtDaN6bgezH1vDG+7RHz2z1jCfruOipmADtgR+HZkOa6CG z4NkbOAVtzp6OGi97H//aA161A+LZGCl2le/kDfWwHz6vxnOcYDM0fT/K+rK 42J633ZFsmRJlkKRlFSiZN+ulplppmaaOTPNTLOGIpGtspRdpFC2siSESpay 87WUJakQSgiFIqKEyFLyPmeO9+ev85k523Oe9b7v57quuzziIHBmYMiBe3PJ +0e2D7vkB2QNIRPbAsAwLfiNhtSv+P3W+Ru7u4Fj0HlUhCP5HlqoxdCNRq1T 7Q8DJ2emdSs4D0TQBPwDwDenyoRnMcDQe2sunZ5Eyr/nYHx8JmBOG+CknnU4 0YFu6HjJLvKlsxtm6j+VnrZ1Y/Czi9wgHxBJ2Xq44UXaQ5tq8t7GflsaqLZu GDXubcYYyo3BTYndcNhy5jxlEOk3I67Ny/J1A/vk85IQVzfoZPGEbnjsk1Ne Y+eGxJIRV/I2AolfFB0qMoCJQSPVvpH4G5cD1sQd0dYeAfQrDTrEXQFmhu15 Fk3K/+hwTHD4GtKPQxynhLoD9PRmTPp/mZumq60JUGGdfLSmcDKDH/8+GYu+ 5qo2dARjX/Ug/aXxzxHrBDD4tCzyHMHJkG6WbjDvZ5Nd3NkNbeoOimWBbkx8 YrobLKrjNhyc7QbRj9kW/Y640Wjrb1MuuWH1pg8vvpH2zX0Q33e5tzuiH9bX OYx2R/K7RhH7sjtuXOjrOeumO4739hj7oL0HaPmF1H4eTFxX6oGnFpTxZncP 7F0yti7npztYjlOfTDHwwOjf5Qk9yH2RVWOVOOEO/lDlhw1z3BleArlft+9s 5YGWlu8vz5Lj96LLfo/DPLDb6ERBdqwHbu9x2hCbS47k79SnHnhY8rzjlD8e 6NSwwOTFA8+/eHoWfFoHr/i+2BM2/S912h7niTk0QWiJJybSGyhST/zJurfn W6gnY4cEeMK8//Rhz1SeEJyv6/ZnuCcUXb4Kn73zgBkdMOnvic408WihJ4YW m9W0PemJL3dHjU7vzIKqjdJG/ssTYw6JVm0zZaFv55dDN7/zRADt2JFyzKAv /OKJgX/uDJhE3nPLPm1GpK8nckKCrg9r9MDIJUUhF196MHb9DE8k3+68bhzP k8GtXfSERX/yxtmeyLYa41Rd4okhEYVj2I/Id+qnfvv0zROfhD3emSZ64sXN 5vnN9Z7IDD72O6UTCxdq4lt3/PFk8KJDWRAkz+9zwJgFTuHRMOMJLNDu4Ctb FnrSBF9XFuwXrL8wlsOCPk28GMb6G+9h4UjXQQ39wALxUhexR7IYXoGQhRcj uqeaLGBh/fS9KvFqFnS6VDNYeOi5L8ElkoWmMze022JYGJPaTT8mmoUYWiYr mIUOG7919pGS8hl6R+jfZUFvQ8svq/cs6HSuzNiwjN2REWbKxtyUFZfqxrMx wPaVu2UGG+4LK/On72Lj8+PATZEFbDwwuv3kfgUbu08GjxvfmQMzW7HhwfVs LLmDoJaZbPi2I1+qz/6Lq2ChdkpwxAKK/Td+wEb6l4XRpTnkOsPnjS2n2ah+ NdEoibyP2R9nM/uiJWwEnrrwpyCfjcu1SRZV59l/45Psv/vaHPRp3rrJaAXn Lx6Cg9E04SqMA9niHRt+7OYwOMrr5Lrrzrf3FnMQe2bTZJGhF/rQxLPTHCb+ NZwDY9qQnc5Gxjsvpz+ZbCS9N9BMz2LDa/airveNOLiy6W68RM0B8SpDuH05 CBxwz+kFj4NfD+YVPS/g/I2ncNAxcGGvK6s4aO24y2HNeg4ym2oX3xFy4PD8 y5btH9kMT8SLA4PAd0/cpnEYXG85G3nWn7+EP2Thv6qqw88HsjHK/6DlgRcs 7HdpXZY/n43Hvn/8G7ewkXNAmV07lw16e7XoARuNkpjnxm4c6HRanDhwoxtk NAd0GP1mV1LufCfRFdI++T+GR5UXsYGmyO+3yHPOD7HsXRbChk7/QcX+u9/C RodrRyJ/DmEj7VBMatkr0i/ysurrW1gMnm8CGzpds98sdB/RPIGdycKb3Qa7 UhpZaNPwunSaPxs6Pbx0Nqx7KN1KXTjwoA1kfw5qWfXLe5LyBb7Pqls9hANV 0c+pDQ1sPHEKHeNIfhfHS178fMvGlOpfi5a158D6YJutJ/r/u64dHWAk9Tcw tNpX0spm7EULDkTP1om6/WBjjssR4+o6Np4P23fMbB0bh/MiNjoYs9EsvzbX g5S7rnfdutAoNu5dLbi9m5zXreuObNiaFY+8Y8mGa9eALdqfLJjQgEIOG0Hx b9Tf7NhMHFXEhmBqN/lYAw50OlBPST9uahtb//pfv/z/evxhdmxMWRML7u/2 e4/5xcLYhj/V0fUs7Pm9asGzeBZsj5xvd243C5fHu0iTST1anayYiJR/47gL Tdwg479+6JulJ595wokmfJDxy6ktyR0kI/OdfHSlRS0Le5e9cYtMYv3vfWt6 TFirGkrKo/Q/cJqMY12cwZWN1rLqnLIzbPBXjz4kIvXFxJ842CM4VfZmP4fx v29z/uJmOEw8dToH82hhxCwO3o3YX7nxCAezaQFNay/c55jP17/oBSt6oqj3 Aj1NPN7BZfzavVzEbZ/eOKYtD7vPEAdZxUPUoWuhodk8zIw/1uLyg4tDfkNr 7T5wmX3Zh1zcM/nplDaJB5oe9eo/LipKQryef+dCQwvaNnmhKruwz7dzXv8b f5N/z7ibcMUL2aet/tzp4gXTvfc/+F7wwvdJfmvbffICTQfOUXGRn57oPsCB i+PDuj9dYM9leGKjyPWNxw713MRBS/PGTkbbOZB+jZm+lzw/zmDZQN8qLyaO Rp7H7Pty0a+D65OHt7lMf7rDxaod5qOKwrlYe99txzxXLuThH0ZOzPHC19bJ gp2WXHQaZLd8YxAXdT6pjX1mckHTu6kfXnCc5jG62YqL/XP2Xx0/n4sekb+5 S69y//qBXNDhaNvlPDSHT5i+f5w3Ng83li/w98aBwUGUh4c3qvxXb1y5nQez e/tTV+SQo4b7RXWUh3FG96JtZ/KQY3paY+zBAy2/1VrGhU34jjz/sVz03rsj btMtLzzeP+zK74NeeDTn0n2V4b/6Zfx7L9Dw9uEXuDhGRabviOQx++y7eWhx /Xh3bltvFPUNqBn/3hsDq2okLgXeUNWE+/t89Ea1OTHcNTyEXQlNd7fl4bX3 4ZefWrjM/vpjHmj48QdfHng2xNJfwcNbMh33ucnD9gOJUasKeZgYWBSzP5/H 2AHjeDh1sSyshMtjcKWZvL9xbh4K3MPb95vPg178xCgy8TLxMxseKl+ffxcY 9a9eabnBRb1I+0yS568j3/M8UGKeH8bFotT/BNbfvTA6Xr7B964X2tMDM9gL HhbSC2/eejF4UrYXpgt23Mwz9kLNvfOG3q+8mH3ZbNLPyXQBL9L+ZJnhZnJB y4S73+KCrB7Fvn+4EH3X9wp9zkU4ujfVXybX3etqHf2YC4vCN5MPdeBhuAlZ UUm///96puHko225mPXfCFNjEy4sm/0dWaQ/uZJlfTZ5Dz3MzZ15THx4LA/c tSfXDlDzsGScbHv3LB6MjKJMPV7z8KahUjTtAA86+vsdHkwb9HwVReR8sbno 6QhvzOKd6sIh/YizdYBKP8Mb8ZNq2hh89sa67OyIzDfesNgcvWz8H2/EsozH b2z0xvTcj+FvX3iDpu/Y3CT3Jbx49rW3D+M3T/VBR3qh8PaBwI14qne9mbg0 y4fBu93zBk0zeLiBj0X7BUvCZ/Jx/tyny5IkPuwLx/VTf+ejRb+r8QAXAZSa /ypHDRXgfnKcxKyvAL/c1IeEwQLc6xbv33RCAFqW1aONL76oeWqX9b7QpycY XyFYqzOnPxIJEdkc9mDzPiF8/myVpJcLYe2kt6kkQgiHCvUMjz1CBt+TLMT5 FUFpXCPRX39QiE6si/vEPUS4679vgQ9HhA/hAz5kTiPntze1054VISVYZvXm kwg6fUgDCsMO3fAwa0+BhpdRB0SMHRorgp64XZfgTSK408L79SK4Nr7ebUCu C6/b3/2xGwWdzmgRhRmBmy+1XynG9J8Xjf+oxVhME/U1Ytwxajtu2ysxKqaY 7vqvowRzm4yKQuvFjO55iRj2Ywc33T8nZuZ1Uwno6q6gJBDQG/ehEma/10EC Y8v0ZWEPxai6k12jt1CCL+5kwb0vYdbBdAmmOmU+nfNNwth3nfwg25nzuFuh BIG3v0SYn5PAaezH7V12SdBuVaLHhrYSFHw0sDEcLoZOl9KePG+xYvlLSwno cNv7UDHuvn1eH9lIYSHdYO8oHH5jlPUlhgK9TfzRUQKdnrS5BMFJbQ9nfhbD kVOAvUIxYnd2536FGPWfiAE5RYxx2Se9JZPEjL97imJ4cmUUg4sj9dZ+UjsH QSmF88kvk9MrKdy6HD8mMIfC82C9uasWUhi729oh15sCd/q3Lue7UlAGJMRu Xy9i/NI4ERMP3UxBHiHtVDeLgodsoPA3eQ4N091H3hdIG0I7KfSrv/BqUT2F 0oqIUa8HixkcWF8x459sohh+UiaF2mTXznEpFHQ6ATUUvpn8uHGPfL+OR+Es hvqG8abBrylMd+l3b0YXMaorW9bF1lGMP/WWgsPVRcmjf1OgaZ3PtGJMLb9j lUnq8/LdvoPXkt+7A8Y8Hk7e2/X+srGnST1JqtOS816SeqUNmA8UenRI3+2v R84PaeflWkL9xbWJcY7Lmla/U8zgU0rFDE6ftIMuLkL6lW5fly/BePG7y/kW EtBw45u/xRCcObr5S7EY2YtWXJYZSJC7orEqr7sE3+W/7huS/mYuv/XZo7ME JpuHpa4WSXBnsMO6oy1iBG7dcvrEDzGDq3kpZvZR2ooRvLBCuaWNmMGXK0i/ XdfawSlLDOsnF1rVIyTAiPVd60wkUNjP5YzpI0Ha04xqZ7UEPpne+c47JKDN dUGsBPJ+xS0hKyWgaZn+eyWw2Kqw20X6Mb1tNLRewuAymyW44UlGxlcJEl6y i3pZ+8HmVNdTjjF+oOV/uptJEaR3uCq/yA8dbkrvnxkthWZvcc80AymzX2Qk BU07T5kvBS2bbxUiBa1KVKKRwqciUT28sxSiXjk5j8hzwi4bPNg2S4rU8oi5 LA8p7G/G56culGKZ8oSk924pSo4khW9vI8WHBTz4fPZDpV/XnTGTpVj6UJt9 IlsKejvEs0kKnf7AJBm2qmeaZwplGEYLgFAy0Gk91CNl4IxrYz3MTYbAk3z7 Pl+keHv4YHWIVor1Pj+7SUg53g/INtqWKkUbw8rCDDspjItfNvR+6wf2jtEx s777wamPi2UaX4qTrp8O9rGVYvq1vP6s435Qh0QvT3fxw0t73wF1ln4YVM/u 38j1w0q7nc6GFRLGHn0vQfGNDj4ZPf2Q4zK3LCLRD25deDtnzvQDLS+3v40f aPpBrpsESUa1QxZ09WNwMVrSPmF7Tw5bJmF4ppNJ+5JptVc3Caq2//eTnS9G QbuSm+n3xdj6LqjHbTsxWh0c+LxZYpxfOshmokoMqtQpfddeCmdbrvrt/UzG L62/RObPiIK789pYUHg6YNvGPeTIGaB5POy9CG4Nm6z0yPjOCyAeVrII1a3W palknPRePm9SxHky79JAAjJPRMTrl38wEaPp/iTpp6NiLJq++pVqjRi9n0wb mBZG/g+gli49Qv6n5XJiyHg7vtY/OEGMytvLFvQYLYYxLQv2SwR+dGffbHcK Ca4Xjg+9TdYJGhh0XISLjXlh57pRoOnz3i0i3B56fF3eMRFOpTRk5BuImLwI viKM1Nr0v3RfhB7EPHuTIELihfj5N4NFuFn4uwtLIgJNQ5uvFOFp36VTXCxF UG2q490eRtalV7c9TfRF+CogDvI1EXR62SIy787aZXyrF4WahcO+FyaK4Pv+ dokgSgQHeqM1RoQ95r+Dx7iJsLfjhbc/F4lw70qMd7xKxPC8c4TYfmiW7YtR QiT5R091qBZCXzR8Wsd8IX4612TZZAuZfYHHQphkzuxdaitCW4MUbnI3Ae6c +e3goOTjjeeljkMMBdDJoyYKGHzeUgFqVw6qexYkYPiFLAGSwKt7Gs1n9Cri BdDWXflxYK2A4QeE+mI23ZBVvrhwp/bUzr5CRh8i2BfcAztEjv6+eNT37PWv Il+MH5fFXlgtwPGZlfPjXgogu8dt6GslwEGrapH9Zz5jj7sLUHiLLFz/8WE6 5Uapg7UAdQferUp4zGf6YyofSUuOZnm88UH53Y3LXV18kOPcVu/WJx/s8j5y LnmrDyIMn60f/NYH12de25Dzy4ex5wL5MJiSIR95ndg90SlTy66SY8rjJzbt +YjyHqutu8XHpxz73vY7BCDW15d2qwWgt09S5ALQNM6CaQJ46D+7tl7fFzpd QUtfzKCFnr7+u06n/3SOj8R9kubwIh/40oKC5aQcI1K5U//4MLjbcz4Mbz6Y lPPN6Qld95DyrTuyk5fpAzs7lsP3SXzQtL2dg/kYWpI3/iq5X2fHOvkglBZ0 JNcX3TST3+rgDW2nyLnGIh7Dgx5F7EWWV0XxdR6ObXgWrEf8DFpmYelob0xJ Wx13ZCax/2S1H8fp+2Aocc8mv/DBimFrje5e4EOnC7yUjxF9fl6uestn4kyu Ajx6PeRobZ0AtFpddqEApHQGpwf6MviJCgFOvEn8EJosYOKqFwXoccJi45Pf fHyvGe3jSuo979QuD0rNh9L2xuelbD5KqCXjr9fz4TpjWZHzWT4elllsCC3h Q0wDxF7yoUq4/s2uh4DJe1LKR0EHU/Zp0l9pmO3UNQKE0x2dtAP7w+GQ1eEC vC+ascRSJUDUt8/3F5kKkOJ4tnLuflJv9z9unvqUj7IlkpYXGXxs2p29NWEL H1L7w4d/jeDjyqi+Ds4RfMRb6Y1p6sLHjZU2spPD+egi8Mw958hHDD+wxiDR B9aO9lXh9j7Qye1+8kZe/f0TZsQOj9h63CnD1RsJt4wl+W94GKpxNN6SzEOV 7Nirgbd5oD71WJCWTvw8vV/L/rB98FG9JufrHB9Utn3huszVBwcuVPOXd/Jh 5plYH6jjjhblhPpAp+tE2kWnz/HABxVno5fef+UDOJ8KjDfhw7r72qQIUz4s K9pviCPlvHIs1jCH9CfdfnyxD3S6ir4+DF7wBh9ZvIHNA8h4KRZbLBhxh49h h+fuKnUTYEzI2tqoVAE4Y4YufrCN9O+YEbm7n5H27Zw+5Qd88V/+jFMrLvii T6hf9/K5vgxfY5YvaBkKO6UvVl5cZdDwTgAJnZCj0Bffhp8ZNzZdyOCEG4Vw CrcxKPsoRIU7MdR6iqDTc/IU4VrVvBpZRxGz/pH/Jyn2ON/pI0JslOOydx1E GPu5LL6K/JbTgk0pQtw5NXjV3ZNCnP5QGZd3QQiPrf5XbmwRMnEfcv699aeY fd+EoOHE5WSeuxgU8yPmsxA6HbVR5LkPwjqpS4QwoyvkHvku33gDT1Mhgt3s Gqr3+mKBaOjAuBQyv30IHdHzhwD7toZN7Zrsi7dmm69UdhUiL/KgdGeRLx74 TzeJI/Opzr44IASd9mJcgBADN7h+7hJLykULq4UIGb4nmY+/39mqN3KnELM6 pzUNJPVSJCIr9DwhdLpgoULo9PmSyHfRevNKIWi3kLORzJuUG6uMXP/GNmTm nOvk/R5mkzdVCkGHBWLJd86zTe90ktTf567KSFc7EYPrEIigpAVlL4rwY6Nn cNssEeOnPRVh8tE72x+R9eVqFGdTh2oReJ/WudobUtg5jFj2W0Wg6VH3ykWI 8n1zJiOfrHO9lxnOzCbrsXbbyPe1IiZfT6UInCMNLQceEP+IHmhkXRpgd74+ qlgEGzqgTNYzv+8FNUcKRUh/aFNtdk/E5CUzofDzUcw39jcRPNr2c0+8IkJv WnD4pghWyqTs2ynkvT3NLTaXimD4qqPdw1tkffuRc0FC7AIdv3cShVlTV2W/ O0YxcUhDMQr9n5R2eUaBWGufXIid7d88/tlBsRjONKGH2N8p5Vn3jYhdotMl DRCj6NfdvHC5GKZdrty8MUKMJE3ypkRHMWxoA+Y7hcaaecebiF1R2tu9uLmZ YvyXxxTE2cq2+fso9AzrFn7mFoVKaWToKOL3fU6+zjMk9o5uHueJMb7gw7VD 5H3+tCwwed7Tqj77Com/RdPQTxE7f8AZyxyfVRQWl7WpsUom/oZn9AqTJRR0 +u07KKhpQ0dBoeTG/fevx1Eo9HNcLhZTcC5tyj52gsLbTduuX+4mRs7MX3Ur v5HnsD7lJi6nsH1dn7WDCihmHqygoMuL0k6M9K5q4YvjFFbkDJUfeUghccXQ bJVYBJ+Rp5MMrEj/MO/dJdpMBHrb41R/EXrSRIPBIuy20Q8JmfF33BG/S5dP gPjHu6I7LWlbJYKz9eWJ7V0pbD3FKpkzn8KnUXP39CBHnV9ymUJnGmh/gYJO D7CQgintqC6jGJwEh/hX5fqPe5pSDP9jMAVa5aS5SYT8w7Pql90VYcHLsgUz 7Ei5m8fNK+5LnlN+PMhlCOm3RqThyf1ZJtfGXCD2kv6PDEmsBwU/QRSvGOR/ ++as9iwKe2Zeb9q2gMLnL+FZdoso0DSSDGLntT5cXGvbhcLBSYUWowZQmELc Mg8uBR698HlROJd7emKkM4WUGXXeo6QUvr89YFVN/MRLDWaWzVeJn0cLCmwj /qWy3Z40Uu+3n6YvVpH20/EzFlMoi8x9EH+Qgk5f9SiFVFN3I3UcBTp82uRD gYYLz2hDQctiGw0ixznPvh/OnUy+41q/icvJ74tX35yc/kqEUTQBslGEWQ5N OypKyPjAuniL56Te6fRDxC595RGbNIHUg06fjPjJOt4J+a6XPciKFitm/Gni n7U+EmyPni9BXfcyZZupEoQM73yDI5Dg0q4HCesUEvSnA5eBEhweSybqLAkG 0wZ1+L/rrxWlss7JiX+XuneSgYcEdLgzaY0ES1nnNaUbJAyue6MEUevZi7oF SJC4cmd0p+MSsmIQS+2DhNkHqpMw+kG/JEy/Jf7Goz68ehb8oNNlS/fDibez km7v8IOIBmy0+KGN7bwPc4j/M5oGalz1Q+sU74T0rlLEF1a1WgulSLcPnb9p uhQdV6mqCqRShNOG9SkpzKtv1AU9lIKWgxx1WQpi5Xd4rpDio82mB+P6STGS Bmz6STGUzsxH/CkHs8SHHSRS1BSONHSBFNNsavy5hlImXq8nxe2UXQFjKv2Q oXqldqr2g4tVzdYjbaXM/MeRMrjL1VLsublhrVWGFMS7Opx+SIrS2ZYx1/Kl 2E/M+s6TZRjrMf9WspkMGQN75vfqK8Pgnya5Uw1l0Ntsaruxmwz0dtADlQx0 +Du3l4yJj32TAhVYtWijFLRMRsILKfo/c3npeE0KUosf4j5LGf83TgaKc6us YKUM11PPL158WIYgcdYnpxYZw59/KAMdvp2QL8Pl7RcD+9nJ0NMvt+Snl4zR QxksAw2vk3eUMXx3PRlKYtuK7/6R4tj8URb6pHw6fIJaxowjUs7Sg5l77xyV MTi4yzIcs7g59n05KTctxGQtR16ngVTpYjkm9GZHiqLkaDq3q+NnctTlMzwi h/ntr9555+UwoAWaEuRQemReWf9cjmcZ1c5tXsshpjcgGuW4euaw7wIbf9xz HhB1paccNE3iYJVMB8fa01sOwxDnxTs/y9B54+VjsU9luNXFfr5FErm/XZfg 2hNynJhPCpQrx6qtBp0CrsgZPscmOWhVYveLcmzxHHZQfksO3zbtuPu2kXLY 7drzdJccH7cd1BO1yEHLfD7Nk6NGTjz/UhlmPL7SM3adHF9Ob/mQrpH/77dO Z3qQnInniuQoPUAmGPw76vew9q7pIMeu1SOL02PlqO4XEa7aIQdNw+etlTNx WO9/1y0vUGYtz5EhcVUbxcU5MoZnQNpvTs88PPYi58NWfLvwWY4FLvOPDuju z+Ado/2Z/ewUf8Bs8ceJSf449jul/kGzPzJ7pjeMtFIgr/2rB/kdFYgcdXSS jKdg9mVTFVgkOI1LcxXYahPm2LBCgZ4bXvSQblNgm/lchyvpCowtMTdbkqxA cdqFI3UPFFhBA4BdlIj6mWI7IlEJPTpQ/V7J7MNVKnFjdbN+1/EqBu/TXoXZ Z/q9S52rwrYXB7alLVGhTsjnPtJTYxhl10l7VYW4Wvdjrb3VOEGnOzBVY4zX +i+GA1Wg6SFR7VSg5TjLZSp0frUzyHeCiolPWqiQHrDpdG2kEj/6yeM31yix 8euBhbkaJSzoAvOUcLwUMO9uqQKN2cQxiVAwfBlzBSwlVePycxWgVb4T4ki5 XVoy+kqUeH1xyJuze5Rwn/Su/NgaJT7WJ71eOfXfd+n4H+VKnCfm1OzVSmxJ ftVuaYsCcXTauIsKkFW1pPWnP0L7ney175c/6DDRS5kC0Y6dbFsV/57XZEc8 m7MKZrx+UeBj+wzDYU8UqNza78RRCwXIaHp3odYfOjm57QpcdCaGSIHif997 YNCgklH7lNDpr6croRnGN3mZpUCyLELayVmFoxFVCy6bqNGNmIVlh/7VN01P 62WgRpXFS26n8WpGp2qeGv3pBFPD1ci1c1uROlWNK2/e37JtVGPCs4Ojn6dr oNPP7qjF+kuRPc2dtcgtGzd/bIAW1DT3OzY7tYj1GLXZKUaLa3OenLMr1MK+ tWF9HBWANO6QdwvHBCC56MCJDXu0uFQWVhKlHwCaxnGPXL/nWXRUULYWQc2b z6uuav/m89RiEDHj/7Qjz0sIedLQXQuTl1+dKl21TLwoQYOHQc4nf+pp0JU2 TDZoGL/AT4PKsICx7kc16N9j+4FEJy3eZ8vk89Zrocu34K3FBJogVKPB6cUn h3uO1TI8fTMtitOtVyZ7aWCiHyNMW67Bwdq6wHnQ4JJXquPStlrodNfjNHA7 v8OVvUKD1RZ/DFdf10CX39BdC46fqWdFvQbj2sa37fNQA9m7NUGzu2mxuWny VYWLFnYefj5pA7UwO/HavpeeFrR7P9lSi2NtBnx8/528l04Ht1fD8CREWjRK 1TEhtlpYHhZbVmzRQkoL8pVq4Rw5J9XhFyk3u83iDZwAzEzoXfLKMAAzStLf W27TwrA5O6z0vAbyI50W70rXMnjEJC24dELflxpkxgSHG2VrMLbr4OEpLzQQ /l7jtS5ci4pzDaIVpHy6vIGk3nmsafUNXbSYkt/j2PwCLVKDKib3uqIF8X5y ZJ0C0PHRmOR4owCMKw69PpEcp9n/jh7hHIDSQz3Co/wCGLz2Fy3KT791OcsK gE5femKALl+nU5cAvMhdMn9qrwDo04JYbQOg1zrEb2CHAEaPr0qLhx6uF9ec 1TLft0KLhNlZu9/O0OLsyIFmRnmkvl9f2n7xpBZxit1KKznpR3ESM6WXFodb 3QZ5hGmhntUg9iP9U93q8as+WovMH7nW9qT/fHoedeE1Oa/Lr+urRYveoVHz Sb1VGI9+2Thbi2qzQsvUiVrGvjipAS1vJ3uv+d/9wowJF03sSb8apFQLSP3I Thf/yPmlYXjBIzV/+YFq/CdJG5o1VcPwCH9o0NGUffrUNw3o7IudSH/R8T6P af9XTx2fX0zOYAdg3s7gzQYWAeieO7Vz7woN1mrfv+WXa/Di14nKw6Td+N0i +q9012A2nbgzWMPocgg1mNH1jIHHEA0iY0/65L5RM7oAzmo81ZuNaDcVRvSs 2rJ4vgoZd8d0Fq1SYU9a4NgOu8n/tPDjITV0eZ/MVYw+ynoV099XqzCZNqjO qpA9+KJTi74aTv49X9k+UcHPSdJ6lszjvqp42YDXSpyacS8oZJgCzrTg9Xp/ PE3osWVKtj/Syid0WWOnZPDu35SMv2qswqngcePNPyiZ9eCoAkNp4OB9JVT0 xoxYCbLaN1d3VjJ6bsVKrKAT2bGUoOGCXV4oQYe59DkqfLzT9sZ/G1UQtn60 GFmkgoOoKWlBiQpcxyGL9rmqgBe9HMt6qXDJnVi661QodaEaMk1VoNPN/uSr YHts00lT8h3TNJx+p6arkLrG6dX9R0qEHVCv3a6nZPT3fMl6cHezfZyVEt5b 3/6aRNaJeXXlYbtClaDpgs4J/3470QOvnxI0XHH9dSWjo5GqhHC08GXKcSXT DlwlRtrPO9X5lJLRD1xO5vH2xJDLJNflDVxn4aDCVOf3iih7FZZvDrqWt1PF 2PdRauwfSRyDOBWWTmuvF69SwcusneN/MWoG9/hYDSmdoDdJjbRUtlUhmR95 7gNDq+Ua2Bz/se66qwZt3FYaW5hoGB3VPhpcrvFLKfulxuy7Us2X9mrQYd+G ShVm0oLo+Srsvzr+59ePSihLL1f3CFRhyTFz89eeKhif/GVtbK9Glybbda/X q3Gz7y5Oa6Ya8gKVuYSjZnRcEtQgvfWhrb8aIWndCmy81dh4ye2MNESNnNRP 5eOGkveln952rVbF6DakEXthxeMZxWT8/J4+9WK3mWqMcN3bvipIjSODGxNy clVYWxvV+VqVClZhQcLQQaQelrovrPxO1n/XwcNcliiZ+Gu2EjQd19RcyeSF ViuQOL1xjPEJBR6Jj2ZnZSpQ+mzfhnX6pD/ReWGfKzBh6OR5iQkK2Lbavb/T QQk+ncAgW4FXAXOnejkq8H/hKgPB "], CompressedData[" 1:eJxdnU2O9b53o/8N9KgnvYbegS3p6GMJATLKEnoQIKMepDeX3YX0dcoPEyDB y5R/VffIurSOKYr/5//+v3/51//xj3/849//p/7PP//bv////4b+438D/dP/ 0j/6XbXHHNf1B09v+4Pzuk8DvC/9vwD9ww+Ounlx9cWLZxu8eN3XIDwTf3fd o+Gnq7XNn+p/8YfWuG78oTXnxYvXWLx4986Lnwr+oP47jsZuk/XuXqx3j755 cbWBv7vnzdHYe7HefYr1nmt0XHzudvB3T3N9HxyL5es3sfwz/Sk+uPrA3z27 YXB0eyfqnVerxp/2jrs/r9EwGvOae/DitW5evGvx4jNw9zWPOkZj3m2j3nk/ E+eDYzZeXAOTQbV3jMa89xm8+GzW266JyTDbXZgMsz0z9IPjsPymO8yLn9/0 wVWYDLPtwcHpz2QHPCy/tzV5cZ+YDFP3j4PT18Xy+zosv+998+LnW/UHx1Uc nNFvlv/cIcLNuTH0LcTfHbM4OOPcLL+ui+XXdTg36l6cG1WN9WqQWW/Nw8mg LzAng75mHA3PJFysG8x6Z784GTRYnAxzLI7GXGTCOTeZcM5DJhQkE851LY7G 6mTCuQaZcK4iEwqSCadmBgdnHRKjLiQx6jOSGKe+65wM+7n2g5NMOJ+xANxk QsHD0Tg3mXCeRiaceobw7p9BJhQ8HI2zyITzbDKhxxWTYV0XmXBd94XRWFcn E4pvyYTrKjLhuiaZUHfswmRYmoIoX88qEuO6bxKjeI/EuO5+Y3CWn2a8eJEJ 173JhOs+N0ZjtZtMqMcgmXC1TiZcbZAJl7ico9EWmVDfZTLhaodMuJ7PBHg3 jkbvZEI9YMiEqxeZUN8pMuHqq3M0+iET6klOJlzjJhP6e8PJMJ75+8EiE64x yYRaBJAJ19hkwjXO4OA8k5uQTLi0ruFkqEEmXCWMv6slBcvXg5/l6/GM74L+ OTk39Kjj4OhnLH8OEuMSFXJuzEliXKIVDo4mNOvVLORk0FzhZHgA4CQTrrXI hIJkwrU2mVA/nByN3ciEWpqRCQXJhPo9ZMK1fw+GP7jJhGsfMuE6F5lQkEy4 zu87+QcHifH3fAWcJEZBEuM6v/pfqB+QGPd1kxhF3iRGQRLj/v2nH5wkxi22 Orx4kxj3dUiMghuDs3+f4oOdxLi19L54cZEYBQ8GZ9+bxKhnJIlRzx8S4/6V C3g4OG1wxbhbkSe1EidP7rbIk7r3FwenX+RJTSvypGYReVL9AHly94cJPjjJ k7sv8uT+3aI/qEaEozEaiVEPNhKjFogkxj2KxKiu7OZojE1i3Prqs17RBCdD 3SRG3aHG0dDymfVWkRj1rSIxbjdX+LviGI6GVvn4LqjjITFurZg5GbSQ5WT4 TecPLjKhVnVkwj0PmXD7SY8/tDqpb5v6+dMi9WkcB8s3NfDiQybUryET/tbW gI29895F6tsqibfbfxh/SFfzdp+b1CdI6vPai7db30De7vOM6wcXqW+rAWK9 Pyb44CH1aSzYO5/nSwU4SH2CpD4tiEl955rsnc91SH3nvkh9gqQ+DQapT09M 9s7nnuQ6kTe57vhRwD+02SyrkybXHX0zWG/r5DpBct2vAMBFrtNQkOu0bCXX CZLrTr/YO58fAX9wkOtOL3KdPxImgyB7Z/EvuU7LGnKdVuLkuvNjekD2zppW 5LrzzHXAxTWh/iqpT5C986mb1KcnKqlPS09S36lB6jtV7J2PHhIsvzap7/ye Tn9wXqQ+kSa5TmsRct0R83EyqHvkZJiLzbIe++S6o0UQ6103uU6XkuvO6myW 1QCR+vRFIPVpQUHqO1oVcTLoK8fR2DeZ8OipycmwO5lQE5JMeH5P8g8uMqFo g0x4njn3QXEBJ8O52Tuf36Lgg4PEeE6RGI9uAyeDBusbHP8WMGHzqu7wpw1M KNjRLDdz282LJ5hQcIEJBTeYUPDgLaLa6gYmNAQTCnYwoeAAEwoWemfBDSY0 PKz3t0T6g+0CEwre6J0Fx83yW10svxWIUXCCGAXX5OD0q7F8LcxZ/nN3Afvk aPTZWG9fN+vV2GxevMGEgmdxNEbrrHf0m/XqfnEyiFM4GX7LyQ/uznrHaay3 rouToa7DyVD35mj8VqYfrMbya96cDDUPJ0OtzcGZ12D58+4sf7abk+G3BAY8 HJw5B8ufq7P8uRsnwzwXJ4M+IwdntWL5qw+Wv0bjZFgFYhScFwdn7WL56wyW /1u2f/C+OTd2uzg4u4r17tk5GfYCEzZXx9E412S9Zy5+5rMmP/OhJiJITaSp c0b/K9jAZoIdbCZITUSQmoggNRHBTXLTmojkdv+0lw9SInFnhf5XcJDcbosk vJgSiSAlEkFKJE0fn+SmBQTJTX+W5HY3SiSClEgEJ8nt/o3cBymRCFIi0bqN EolgJ7kJkty0yCO53Z0SiSAlEsFDchM8LP/XDn6QiokgFRPBItcJkuv0HCDX 3YOKiSAVEzH7Ta7zkp7lFxUTQUokzYIZ661NcrP4xMlQlEj8302OhhZbrFfN E+udlEiaX8dzMkxKJM3vhVnvukhu96JEYkhy8+tLjsavC//gJLndixKJIcnN /QEHZ98kN78s4N3f1EQMN0dDrSbr3RRBmrsp3u5DEaR5Wc8CzyCbeYnM232o iRgeli/yRoH6F9Z1rV3URJoXDbj7ftKjfC9rJn9KEcS9EqnPrIryTSuoV19g Up+/oosXUwRpnu4YDd/Rw4s3qc+DhdvtknC7/Tk4Gq2T+jRPSH1ND7rFi6mJ CFIT0W+6yHWtUwQRpAgiSBFEsMh1rU9ynT4juc6/CHdfbWjjaIybXNf0NGa9 gyKIIEUQQYoggotc134PjQ9SBNFQUQQRpAgi2Ml1GldyXSuKIJZLyHWtqIno JlzkOkFyXZvURKyIkPra78kGSK7Tmpdcp+6IXKenU3E0ViPXCZLr1P2T69qi CCJIEURwk+vaOuQ6QXKd/ia5rm2KIIKDXNd2kesEyXVtUwQRpAjS2rm4kGvn JvW1QxHEkNTXDkUQwcmFXNMqnuUfiiCGZEINK/pffckambBrKqB8r4APL6YI IkgRpPkty82LD5lQPQ2ZsN/URAzR//q7TiZ8dhbwpxRBDNHwtqeBwMXtJhP2 RhGkPZ9rEB6Oxm+19cFFJtQnJBP2RhFEhEQRxPxEJuy9kwmFyIS9UwRp/hEm gxZfJMbeD4lRzQOJsQ+KIIIUQQQHibGPIjH2QRHE8icbXj1QyYR+bcZ6i6qH IFUPQaoegpNM2GuRCXtR9RCk6qHZS9VDsJEJ++xkwj6peghS9RCk6uHvBZmw /1bTf3BR9RCk6iFI1cMPRRJjX0Vi1PwkMfZF1UOQqoceVheJse+bxNg3RRBB iiB+0LH/7b8OAJDE2DdFEEGKIM3NMAfH71g3IYnRb0k5Nw5FEH/l2P/+loCE ZMJxUfUQpOohWGTC4YafF08y4bgogghSBGneRYF6hxuzSUgmHDc1EUFqIoKL TDi8CObF1EQMyYSjURMR7CTG4ct5cZEYR6NEIkiJRPCQGMevw/sgJRJDEqNo gb3z8PeZF08S4+iUSNyjkhhHp0SiBdRNYhyjkRjHoETi1RaJUZC98/h1pR/c JEZfy7lRlEgM2TtrHUdi9Itslq9+gHOjqJhYZ2XvrCaVPDl+M/SDVEwEqZgI UjFpftHJ8uckT45JxUSQiokgFROtTG/ypG4BeXIsKiaClEgEF4lxrE1i1JqX xKhiSYzWMTgaukWsdw8So1p2EuOvOQSkRCJ4SIzj99bhg5RImucCJ8OhRCJY JEbxHolxHGoi3sXIZlnTikxYVyMTqicl9enby+64fu9CAMmEnqG43eroyIR1 UxMRHGRCQTJh3dREBKmJCFITafUjwg9SBBGkCCJIEURwkvqqLVKfIKlPk5nU 9/uOfdCdOC7Weov1doogghRBmr/NHI0feX/wkPoESX2+Q/ju1whNpEaR62qE CFIjRBA1w2yWqy5yXf1ebn0wRBBTDu9+hQiiZRy5Tu0guU7NErlOkFxXFSJI zUau0y8m19UMEUSNJrlOkL1z/V7IffCQ60yTnAwrRBBB9s5qYcl1pRUTy1+h idQKTUSQvbOWYuS6+j2cPxiaSO3QRMwhHJw9SX21F6lPY0Hq06iT+uqEJqLv MqlPa15SX53QRNyFcm78VhAfPOQ6/RZynSYouU6rafbOejqR6+ZVXAS6LTm8 OEQQ9Tvsned9kfrm74XrB0ME8WMQk0Gswd553pNMOL2HjheHCDLvEEFmCxFk tkYmnF598+JBJpwtNJHZQhOZ6rRZbw8RZPabTDh7Y7M8e5EJBcmE+jNkwtlD QPFXnaMxaBsxJBPOEQKKGjwy4RwhoMxB24ghmVD/IZnQU4GToUJAmUUXSbP4 z/IrBJRZIaB4mcPBKbpI/AqKxChIYpwzBBQvkVjvpG3EkEw4Zygmc4ZiMhdt I/62kgl1w8iEgmTCuUIxmYu2ES/TyYRzhWIiSCacOxSTuekiEaSLRDAUE0Ey ob5U7J3npoukzUMXiWAoJvOEYuJtmhycQxeJIF0klqnIhPOEgCLI3nlddJG0 39oaMAQU3S++VBRk77wuukgE6SIRDAFF3wQS47pDQFH3TyZcdygm6w7FRGtt Nsvrpm3EPEcmXC0Uk/W+Jv+DIaB42c56G20jgiGgrF8P98HQU1anbUSwkQlX Dz1F05dMuHroKavTReJXuSRGdSkkxjVCT1kj9JQ16CIRpIvkLQ8w5BV959g7 r0EXSdMal8ToFoeToUJe0XKDvfMqukia1QWWXyGvrAp5ZVXIK1q5kBjXpItE MOSVNUNeWTPkFT+4Wf6kqUTwkBjXCrVlrVBbtE4lTwqSJ9cKtUXThjyp7pC9 89o0lfhVPXlSkDypeUOe9G4sDs6mqcTNA3lSkDy5dsgrqp3EuA5dJIYkRrew nAwn5BWtJkmMomcSo+8eJoMgiXFfIa/si6YSQZpKBENtESQx7ivUln3TVNK8 4kf5brsbLw55Zd90kQjSRSIY8sq+Q0/ZjbYRQdpGBENP2S30lN1CT9mNthFB 2kZEXqGnaGFOJvxRGyB9IoIhoOweAopfQrD8QZ+IIH0iFohIfZYSebtHCCha qJH69qBPxC+uSX17hICyKwSUXbSNCNI28gwcb3eFnrIr9JRd9Im0PUNA2TME lD1DQNE6nFy3J30igiGg7BkCyp4hoOxFn4ggfSLNb3d491cIKHuFgLIXfSKC 9IkIhoCyVwgoe4eAsjd9IoL0iQiGgLJ3CCh7h4CyN30ihuQ6/ZBct0/oKfuE nrIPfSKG5Lp9Qk/ZJ/SUfUJPORd9IoakPn1iUt+5Qk/RRybXnYvGEENy3blC QDl3CCjexIp6z01jiCG57twhoJw7BJSjyY16T6NPxJCLwNNCQDktBJTT6BMR pE9EMASU00JAOS0ElNPpExGkT0QwBJTTQ0A5PQSU0+kTEaRPRPCQCc8IPeWM 0FPOoE/EO9JJjOqcSYxnhJ5yRugpmpJkwlMhoJwKAeVUCChaApIJT9E2IhgC yqkQUH7v0wHpE7FUTuo7MxSTM0Mx8ZtdFjhpGxEMxeSsUEzOCsXkLNpGBGkb EQzF5KxQTM4KxeRs+kQEQyI5OySSs0Mi0Xed1Hc2fSKCIZGcHRLJ2SGRnEOf iLdnkPrUlJL6zgmJ5JyQSM6hbcRuDVLfOZRI+nVRIrGsjmZZkLaR/l77QUok gpRIBCmRCNI20q+bthFBSiSClEj6+6E+SNuIIZhQkIqJIBUTQSomWuXQNmJ4 WH6jYuJ3DmBCQSom3eIDy2+0jQhSMelXp2IiSMVEkD4RQ1CfICUSQbpIvFhu rHfcF+sdVEwEqZh4W+rkaAzaRgRpG+nvXADcnAyDAkq/irYRQdpGupUZToai gCJIAcX7YjrLL9pGur7MFyfDpJ4iSD1FkLaR/s7fD1JPEaSeYrg5OIu2EUHa Rnyzb06GRT2lv1+UD9I2IkjbiCD1FEHqKYaHg7PpIhGki8Rbihrnxqa80u0a 4eBsukgE6SLp16G80n/bQwEprwjSRSJIF4kg5ZVuIY5z41Be6fdFF4m3QYEn u7vfzouppwjSNmJbCInx5acPUk+xfo/uWJAukqdZmryYeoog9RRB6ineq0Vi vG+6SLxcIjHejXqKIPWU7s1JhxfTReJzEEiMd6OeouUUbSOCtI0IUkARpIDS X7b+IG0jgrSNCFJPEaSe0q2scjQGbSOGJEaNBYnRGi3v/qCeIkifiPiXAoog BRS/XS+ORtEn8pwtxXqLAspzbBPvflFA8eY7MqGP9WG9kwLKc0QO7/6kgOIT VciELoD1/h6SH6Se8pwhwrv/e5n3wUEmtGTNybCopzwHNHBwNj0m9tWT+u5N AeUxw3M0Nj0m/X2Sf5ACymN45t3fFFDsniX12S7Leg8FlMdryslwKKDYqUjq sxeR9R4KKM9DD5NBEL2zTWKkPrvCNi+mnvJYqjAZtOIn19mfg3q9ExF3v90U UB4LCkbD3rubF9NUYpsBqc9bEi7+XQoo3tFO6vOudNbbKKA8G74xGVqjgOLN xKQ+bwhevJgCyrO5FpPBe145OJ3HcD2bL1l+p4Dy7GvEZPB2Qw5Op8fk2ffG 8gcFlGcPGSfDoIDi7Upkwnd1+UEKKM9+HU6GQQHF+0jIhN7twfKLx3B5bwSZ 8F3GfpAek0dZZ/lFPeURrTk3JvWUR8VkvZMCyqMXcjJMCiiWiMiEVoxY76KA 8ogxnAyLAopfx5MJ26LlxO/QyYR+8c3JsCig+D0pmdDvSVnvpoDyvILkZNgU UPyKisToV1Qsf1NAeV4GcTIcCijP6wDWe6iYPJ027/6hYuLGjEzoTgz12jt7 82IqJk/vgdHQmphM+LY4H6Ri8qwgG/8uFRMvR8iEXnCgXj28yYR+lmMyvL3U B+lAeaif5TcqJg+NYjKY7Dg4jQ6U53vF8hsVk2fKYjI8ugf+bqcD5amQ5XcK KM+PMRn0P2ylNeYkxt7pQNH/UEDxf0pi7IMCiiAdKN44T2JUsSTGPiigCFJA EaQD5VU0AamYeEs+e+dedKAI0oHSvb+Mk6EooAhSQPF8JBNa4mK9k3qKDysk E/ZJPcXOcDLh24V/kHqKIPUU3RPqKd2GE5a/6EDxDSQx9kV5pb/t/gfpQBGk A0U3n/KKIOUVQcorgnSg+GQ0EmPflFcEKa/Ys8pW2rv8WP6hA8VrABLj7x0T IOUVQRpSDEmM/fBUru7thJgb+gFb6XHRkGJInvQ7iM6LqbYIUm0RpCGlj5uG lP6+dPkg1Ra7RthKj5uGlO5hnLyYaosg5RU7TkiMo9GBYkhiHI3yil8FsHf2 JjDW22hIEaS8YkhiVFvGVnp0GlLMIiTG0SmvGJIY31dQH6Qhxb+VxDgG5RVD EuMYlFcE6UCxO4dMaErh3R+UV0x1pL5R1FMEqacYsnceRcuJIC0n3V913u5J PcWQvbO+F6S+MSmgCFJAEaSAIkiPSfe9Z4GLAorlP1Kf1jF8izgWPSaC9Jh0 b7zl7V4UUAQpoFh6IfWNTcuJIAUUQQooghRQBGk56e/7yA/y3C09naindL9w 5OAcekz8KCPXjUMBpb9vOj9Ij4m3HpLr6qKe0r2jF3ffm5QxGnXRYyJIj4m/ ReS6uqinCFJP0fOWHhM/fsl1fp1xeDH1FEHqKd0niNy8mB4TQR7D5S8Nua4a 5RX72Mh11egxEaS8Ikh5RZDySq9Oj4khqe993/xByiv2z7GVrk6PiSA9Joak vuqUV+zVIdfVoKnEkFxXI/QUP+Y5GoOmkv6+FAck11WFnlIVekoVj+HyeorU VxV6ilV2ToYKPcXXst5Jj4lg6CmCZEJvnOfgTHpMBOkx8R0hE/pDcTLM0FO8 B5/lL3pMBHkMl2DIK4LsnWvRY6LlZOgpWl2SCQXZLIvayYRq78mEtUNPqR16 Su3QU/SZyIR1aDnpr+jxwdBT6oSeUoeWE0FaTgRDT6kTeopHApNhXnSg+Pg2 EqNPALp5cegpWtawdxYtkBjnHQLKvENA8SzDaOgXkQnnTcuJv71kwnmHgPJK QH+w0XIiSMuJYAgos4WAou6BvfNsdKAI0oFi2x6Z0N8MTAYtTdg7z04HivsS MuHsIaDMHgLK7CGgCJAJZ6cDRS1OCCh6sJEJ1QCxd56DDhRDMuEcoafMEXrK HKGn6A6RGAVJjK8Q98HQU7TaYO88iw4UQxKjXTKcGxV6ypyhp/ivsN4ZAsqc IaDMGQLKnLSc9FctBCQTzhV6ipmPo7FoOXGjSSYUJBPOFXrKK0v+wU0HiiAd KIKhpwiSCecOPWVuOlBs4CYxip5JjGZrToYT8orNSSz/0IEiGPLK720dIXtn jQWJcV10oAiGvGIXFCaDIHtn9ZkkxnXRgdL9Nqfz4pBX1hXyyrppSPG2LhLj Kw5/MOSVdYe8sm4aUp7NlJMX80SvvlqoLauF2rIaDSmCNKQIhtqyWqgtq4Xa 4l6R5XcaUnwwOnly9ZBXVqcDRZAOFL8LITGuHvLKK5X/wUEHiiCP8BIMeUV/ lMRolxtHY9CQIkhDis8YIDH6CcrJUKG2qN8jMa6iIUUw1JZVobasCrVlTTpQ uimVd3+GvLJmyCtrhoCi7zK5bs0QUNaix8SQ1PfuQfhgCChrhYAiQiLX2RHI +7tDMVk7FBPdA3KdILlOTEeuWzsUEzEf3xOuQ1NJfzdKAJLrNIvIdV4DcjQO PSZ+x0auEyTXqVxy3bsj47+gl5Mof1/0mHhvNLnOW6Vxu22mxOCIgEhuWpmS 3ARJbvsOxWTfNJX4vSDJzZ//8OJQTPYdiomPNkS9u9FUIhiKiR2fmAy7hWKy G00l3nlJctstFJPdQjHZLRST3WkqMYmQ3N6NMB8MAWX3EFB2p6lEkKYSMwoX gZq/5Lo9QkDZg6aS7naB5Y8QUPYIAWUXXST93a3zwVBMdoViokaE3bHqIbmJ F0huu0Ix8X4FToYZiol7GtY76SIRDMVkz1BM7OjlaEye2SVIU4nPUyHXuXni ZFihmNgczPIXTSWCoZjsFYrJXqGY6DORCfemqUQwFJO9QzHZOxSTvWkq8Rkw JMa9eYSXYAgo+4SAsg9NJf3djfXBUEz0+dkd78MzuwzJhOcKxUQkSib0W2CM hr6BZEL3rMWLQzE5VygmWhKyWT43PSb93UEGSCY8dygmbo4xGc5Ny4nFBxLj uUMxOXcoJu9WtQ/SciJIy4lgSCSnhURyGj0mPsWHTHh6SCTu4HH3Tw+JxA51 1tvpMREMieT0kEhOD4nkDFpOzGVkwjNCIhEkE54REokmHZnwDFpOBEMiORUS yamQSE7RciJIy8lrYgQMiUSQzfIpWk70+Wk5EQzFRA92EqMgm+UzaTnp5iOW P0MxOTMUE62P2Syr7SQxvrsaPxiKyVmhmPiFDQdn0WNiQYxMqMUWmfDdL/lB ekz8LoBMeDbP7BIMxeTsUEzOpuXE6UdkwnN4Zlf3WyVOhhMCig9RYL2HlhPB EFB+7z0BKaDoH7ScCNJyIsgzu4ZPa/gmg9VCNMuCtJzoH7ScDL8X67j4pp4i SD1FkJYTQVpOxrtr9YPUU3woF5plrTYuEKPhZvmNeor3goMYBamnCNJyYnhY fqOe4lUOiFGQesrz2oTldzpQBHmElyDlFec6FAen04FikfZi+Z3yytBHAE++ 9mZAGlIEaUgxPJwbg3rKuIoOFB9+drPeop4yvDThZCjqKVaSG+stOlAEqacY bk6Gop4y9B3rrHfSkPKIKZwMk3qKFezF0Zg0pPj8tsbyF/UUw8PJsKinCNKQ Mt6d1B+kgGK4ORqbDpThc014uzcFFMPD8jctJ8NvlFngpoAiSAHF8LD8Q8vJ eLd7f5ACiiAFlGdJwPIPPSbeGgDqE6RiMt6N5B+kx8SnjYD6BKmYDL9Cxe32 GTAYjfumx0SQHhO3A6Q+0RWp776pmAjScuLtDKS+++YhXYIUUHy2H3pnQXpM fIAmue5uVEy8UaJxNBo9Jj4mkFx3dyomglRMBKmYCNJjIkiPyXj373+QionP I+wcjUGPiSA9JoJUTASpmPi93+BkGPSYGJLr9NAg192DZ3Z54ynJ7TUZfJCK iSAVE7/0L45G0VRiSK5zIC7v/qRiMl43wwdpKvGJ8+S6e1IxEaRiMnwQEUdj 0VTicx/Jdc595GRYVEyGMxQ5OIumEkGaSgzJdfeiYjKcV8fB2TyzS5Aek+E8 M06GTcXEe3kWB2fTY+KjK8mETpbiZDhUTPyY2xycQ4+JID0m4/WUAJIJHZCD wWkXPSaC9JgM56lMXkwBxRC9s9e0ZEKnMWAytJuKiSGa5eHkg86L6TEZThGY vJiKiSHeIo5202NiwZ5M6OPdMRlao2IyXofNB+kxEaTHZLRGxUSQiok3Z6F3 Hq3TciJIy4lP6iQxtk7FZLROxWS0TsuJt32RGH1iLCZDG1RMLPiRCdugx2T4 OE7e/UGJxBvKGkdj0GPi81PJhD4YkZOhKJGMVpRIhs/RY71Fj8l4jU0fpETi g1o7RyOi3r3hlcTo48A4GSII3upC5+BE1PtD9Cx/UiLR/aJEMlrkwo8Wye/j NWN9kIqJIBWT0SIXfrhWlr9pOfG2PhJji1z40SIXfrRIfjckMbZNxcRSOImx RS68D8QlE9pXz8kQQfCjRRC8NxuSCduh5cSQTPh7vwxIxcSrODJhv2g5MSQT 9siF91Ye9M5+UUIm7DctJ8Mc0nkx9RSnlaN3dhYUifFJS+bFPLNr9MiF9+HB 6J1Hj+T358AUlt8or4weufCjRy786JH8Pp5TFnBxp7wyeuTCG7J37pH8Pl6/ 4Acpr4weufCG7J17JL+PZ/2FiwflldEjF370yIUfPZLfBelA8d53EmOPXHhv YmXv3IsOFEE6UHyEM3myR0z86BET72hV8mQvOlCGN9lwbkRMvA+HZu/cIwhe kA6U4UUu50bkwo8eye8+Z5rEaLWYkyFy4UePXPjRI/n9ecCw3kV5RZDyig+0 Zu/cI/ldkA4Uy7skRssenAwRE++zsUmM3ibD8g/VltEjF370SH4fr2n1g5RX Ro8g+DEi6t2QTOjXLsWLqaeMEUHwY0TUuyGZcFzUU57DknC7RwTBC9JU4pPC SX0jkt/ds7BZHhH1PrSwI/V52YfbPSIIfowIgh8jot4FaSoxJPWNCIL3dm/2 ziOi3v2CgtQ3OjNQBKmnjBFB8N43QK57bceA5LoRye9jRLa7k5LJdWNQQDEk 141IfvcR7OQ678ZivUUBRZACiiF75xHZ7uO1Sn+QAoogBRRD9s4jst0FaSrx pnty3Yjk9zEi+X2MyHZ39eS6MamnOF2DXDciCP49uxCQphKfXs814YggeEHq KWNE1Lu/gKS+samnCFJPEaSLRJAuEkEKKPYckOtGJL/r5tNF4iP2yXXjUEDx TCHXjUh+F+SZXYI0lYzXGf9fsCL53Wf5s3euyHYXpKnE71u5CKxIfh8Vye+O BSATeocgyneIHCZDRfK7IAUUHxROJnzd/B/kmV0+holMWJH8ru8NXSQ2gpAJ K6LeR0XU+7NNkfU2mkoEKaCMiqh3Z6jzLWJFmLshmbA6BZRREfUuSAHFbhUy YQ16TARDQKlIfhcMAaUi2927GUiMgiTGiuR3u2TYO1dkuzuwmcQoSGKsSH4X pMdEkB6T99xSQjJhRdS7ID0mwy/GWO8MxUSQTFiR/O5sCjKhn6Csd4ViUisU k4ogeM8xMuF7pMQHQzGpCII3ZO9cEfUuSMuJzUlkQvUDZMKKXHhv/yUT6rFA JqwTAkpFLrwhe+eK5Hc/BUmMdUJAqciFdzIle+cZye82VJEY5xUCyoxceB/B xt55RvK7IC0nXmqSGGfkwuuLEQLKvOkxGd4K3/lTHuElGALKjOR3QR7hNd4j Qz7II7wccsLeeUby+/BrQdbbQk+ZkQsvGHrKjOR3QVpO/NgnMc7IhRcMPWVG 8vt4jzn5II/wEgx5ZUYuvCAtJw7ZIjHOEfLKjFz490RjQFpOvFQhMc4KeWVG LvyYkQsvSMuJIYlRc4zEOCMXXjDklTnpQDEkMc7JE70EQ22ZERMvSAeKj08l T/rdPOdGxMTbXMjeeUYQvCAdKIbkyRkx8YKhtswIgh/+UCx/h9oyIxdekJYT QVpOhs+Y52SIXHhL0myWZyS/e+1JYpwn1JYZufCCobbMSH4f79E7Hwy1ZZ5Q W1bExAvSgeLHLYlR94TEuCImfqxIfvd6mUy47pBXVuTCC9JjYussqW/doaes CII3ZLO8IurdTlMyod8gH14cesqKIHhBmkoEQ0BZkfwuGALKiqh3pzCR+lYP AWVFELxgCCgrot7VatBUMt7Dkz4YAsqKIHi/gSL1rUGPiSAP6TIg9a0IgvcL VXKdloDkuhXJ789ZyRyNyHYf7wlPHwwBZUXyu3spvidcke3uPRbkujVDQFmR /D5WJL+PFdnu7tLIdWuFgLIi+X2sSH4fK7LdDcl1WsaR61YkvwuGgLIi292Q XLd26Clrh56yIghekKYSQ3Ld2qGnrAiCdxQYuW4dukgMyXUrUuMFQ0DZkQsv SBfJeA/0+mAIKDtS4/UvukgE6SIxJNftSI0fO1LjnWZGrrOxCZPB2dc3Lw4B ZUdqvCBNJeM9hOwPthBQdqTGjx2p8YI0ldiySybcLQSUHanxY0dq/NiRCy9I U4lfRpMJd6TGG7J33pELL0hTiYPgSIw7UuMN2TvvQVOJT6EiE+6IiTfkW8Qd QfCCtJzoZyGg7IiJFwwBZUcuvNPqyIQiKzLhjtR4wRBQduTCC9KBMt5D5j4Y AsqO1HhBOlCG9XyWP0NA2ZEab38Re2cvPljvCsVkR0y8G2k2yzuC4Md7Et4f 3KGY7IiJ9zsn9s47cuEFaTnxmQpkwh2p8eM9cu8PRky832aRCfcJxWRHiLxg KCY7YuIF6UBxGiGZcEeI/DgRIu+DH0iMgiRGPapIjD+HCWAoJidS4w1JjN6v gclwIlPe62H2zidS4w1JjH693nlxCCgnMuW9CCAxnkYHyngPPvxgCCgnMuWf 3YOst4ViclooJicy5R3zSCY8nQ4UQzLhiUx5wRBQTqTGj/d0xg+GnnIiU36c yJQXpAPF53yQCbU+JhOeyJQfJzLlx4nUeL9hJTGe4pldhiTGE5nygnSgCNKB 4oRMEqNHgpMhMuX9To3EeCYdKIIhr5yImDdk73wiRF73iw6U4SUv50ZEzBuy dz4RIu9bT2I8i0d4CYbaciJiXk04DSnPFhOWv0NtOREx7waevfOJEHlBGlKG o7E4NyJiXjDUlhMh8sOmZJZ/Qm05kSkvSAeKlm10oNg1AWIUpLzid/NolgVp SBGkIcVH0YAYvT4EMdYVmfKO7AUx+q0/iFGQ8sqTnjLxdyNiXpCGFEEaUhzi CmJUf0d5RZAOFHd/m/U2yiuClFcsjw2ORqTGG27W2ymv1BWZ8j6YZ3A0IjXe 8LDeTnnFCgmIUZDyiu4tLSf1HgH7QeopjrQtjkakxgvScmK4efcjU16QeorT cRvrLVpODA/vfmTK1xWZ8nVFany9x9YCHt79yJQXpLwiSAeKD0C6Wf6kvPJs L+NkiEx5lUPLiSD1FMPDux8h8m96GSAtJ04Svnn3I0Te50pvjkbExPvQps56 N/UUQeophoejETHxgrScCFJP8XFQFydDhMgL0nLi9OPB8g/lFUHKK1q3UF4R pOVEkJaTek8p/iDlFUHKK4K0nAjScmI/Bpnwjkz5uiNT3onNZEIfz1C8mPKK IOUVQcorJicy4Xuy8gcprzimhUx4R0y8IC0nPpSL1HdHiHzdESJfd8TEW/8k E96deoog9RRvFm0cjYiJ97KGTKhugUx4R4i8IPWUuiMm3geJkQnvQT1FkHqK IPWUuiMmXpCWE7/nJDHeESLvE8sGB6doOfGbejLhHanxokXqKYJ0oBiSCd+j sj9IPcVZ38XRiFx4QzKhgys5GSI1XpB6imPDyYQmDda7qKcIUk8RpJ6iYaUh pd7jvQFJjHeEyPuWTA7OpgPFkEx4R2p83ZEab9WdTHgfOlAEKaAYkgnvSI0X pAPFd5pM2C4KKIZkwhYh8tUiNd6n2ZEJ20UBpVpkyhuildbCm4YUn3hLJvSu 882LKaAYopUWpCHFKfFkQgsVmAzq/8iELSLmBWlIEaQhpd7j2z9IPUWQeoog DSnl19wsv1NP8QZIvGMUpJ7i0zZJjK3Tn+ItGCTGFhHzgtRT6j1j/oMUUKzS kQlbRMwL0pDiN3tkwjaop1SLiPk30xSQhhTvEyETtqK8Ui0i5n0OYuNoRIh8 ORqc9U7KK9UiYr5aRMwL0pDiExZJjG3yCK9qETEvSLWlWoTIV1s0pDx5ipwM ETHvoxw7BydC5AVpSBGk2uJfQ2JsETFfLULkDUmMb6TAB6m2VIuI+WoRIm9I YnTAL+dGRMwLUnyx1k+e9FlKLP9QfKkWifPVInG+emTK1xuDAEie7JE4/xjG MDg9MuV9giZ5UpA82SNi3puVSIwOUEG9/abaYkhi7BExXz1C5H3SLomxN6ot hiTGHhHz1SNEvp5IZ15MtaV6o9pSPRLnq0emfPVOf0r1TvGleiTOV4/E+XpO d8BPB9WW6hExXz0i5uvZzMWfUl6pHpny1SNTvnqkxtezdsPFRXmlemTKC1Je KZ/gxYqKekr1CJF/Jj5v96TlpN60jQ9ST6kemfLe13bzdkdqvE3XpL6+qKdU j0z56pEpXz1S471jjtTXF/WU6pEp7xNh2Tv3SI0vH5/E8jfP7KoemfLVI1Pe h8uS6/qmnlI9QuRFodRTzKjkun5oORGknuLddeS6HiHyfndJrvMRDKhXPyDX jQiRF6Se4qQ3cp3t7sWLqacIUk/xSoy984iYeENy3bh5olfZ04vJMCJTXpCW E0Nynd8o37yY8orfm7B3HpEaX28CDCCpb0SmvCA9Jj60l1w3OvWUGhEiXyNC 5L1Pk1xn3wjr7dRTakSIfI0IkVdx9JjUGPSYuNEi140IkReknlIjYuJ9/jGp bwzqKYakvhEh8oK0nNQoWk4EqacYkglHhMjXiJj48h5Blj+pp1iGJBOOCJH3 qo7E6A1YLH/yRK8aESJvyN7ZW2FY76KeUiNS4w3ZLI/IhX+836x3UU+pEanx 3lnLt4gjcuHrjSH6IPWUGpEa7w2/7J1HxMSX7zbrPdRTakSIfI0Ika8RMfHe SkxiHId6So0IkffJ2eydK2Liyy+RUX5FarwgBRS/JCUT+v3d4sUUUN4ZCUgB xZFyZMK66UApm2U3L6aA4tO+2TtXpMa7syATugBMhopMeTvT2DtXpMZ7kxCZ 8I2Z+iAFFEEKKE5JJxNWpyGlqlNAqeoUUKoiYr4qQuQNSYx6PpEYKyLmBUNP qQiRrzca64Ohp1REzFdFxHxVhMj7kHUSoyCJsSJivioi5gXpQDEkE9oMzckQ EfNVESIvyBO9DMmEFRHzgqGnVITIC9KQ4s9IJqyImBcMPaUiRF6QhpTyl5eT ISLmfQI9e+eKEHlBGlJsBSAxVkTMC4a8UhEi/5jMWf4OeaUiYt6QvXNFiLz1 EhKjnzCcDBExb8jeuSJEXpCGFE8LEuOMiHlD9s4aVlLfjEx5OyHYHc9IjRek A8Un/ZMJZ2TK14xMeS+eyYTzpgNFMPSUGZnyzhBgdzwjNV6QDhTB0FNmhMj7 3CVS32y0nJSHBrd7Roi8W2O2wzNi4r3fiNQ3ewgoM0Lk/TaH3fGMmHjHsZP6 5ggBZUaIvLOv2B3PiIkXpAOl3vy9D4aAMiNTXpAOFMFQTGaEyJsn2A7PouXE LhmS24wQ+ZoRIi9Ij0m9qYAfDMVkRoi8YCgmM2LiDcl1mpDkuhkh8jUjRF6Q phJDkttcIZHMCJF/F5eANJUYktxmhMg7O5bd8YyYeBEwTSWGJLcZIfI+FZHd 8YyYePM8yW0eHtJlSHKbESIvpqepxD4nstmK1HjBkEhW5ML7oUE2e2MeAclm K1LjBWkqEaSpxIesketWpMYbsjtekQtvbxa5brWQSFakxhuyO16RC19vNOUH eWaXuz9y3YrUeCfbketWp6nEISdc9a0eismKXHj7ych1q4dEsiI13nkpbIdX 5MJ7rxK5bo2QSFakxvs9EdvhFbnwTmIh160KiWRFarxjtNgdr8iF9xHG5LpV IZGsSI135Au74xW58II0ldiNQ+pbkRovGBLJilx4QZpK6o0e/YORGi8YEsmK XPhai6aSWiskkhWp8V4xsTtekQtfblpY/uYRXoKhmKxIja83H/WDIZGsiImv FTHxD9Gx3sMzuxy8QyZcERNfK2LibWokE65Dj4lgSCQ7YuJ93iK74x258IL0 mBiSCXekxguGRLIjF16QlhNDEuOO1HjBkEh25MI71ZLEuO+QSHbExGvNS4+J ID0mT0fTeXFoIjti4gXpMfFqmkz45t8Ckgl3pMYL0nJSu9Ny4u8nmXBHarxg aCI7cuFtWiUT7hGayI7UeEN2xzty4evN7P1gaCLiUBLjjhD52hETX7toOXEY FIlxR4h87QiRrx0x8QYkxj1DItkRIu+YKXbHO2LiBWk5EQyJZEeIvE+iYXe8 F8/scrdEJtyRGi8YmsiOXHhBWk6ehpaTYYVEsiNEXpCWE0FaTpz3QybcESIv GIrJjpj42puWk3ozmT8YismOEHlBWk4EaTmpfXhml2AIKDtC5L2YJjGei5YT +6pJjCdC5L0vgt3xuWg5qTdH+oMhoJzIlH9OgcTgnEiNNyQxnjsElBOZ8nUi U97mbxLjuWk58cQnMZ7IlK8TmfKCdKAYkhhP4xFegqGnnMiUd4oaefJ0OlCe U+QOLw495USmfJ1IjRekA8WQPHkiU97pbeydT6TGC9KBYkiePBEiL0jLid86 kBjf2HBAEuOJEHmfQkViPEUHimAIKCdC5G0XZO98Iibe5n4S45khoJwZAsqJ THlBOlDqjTr/gxEib8hm+URMvM9ZJhOeSI2vE6nxdSIX3icQkAnPDsXkRGq8 A/fYLJ/IhRekx0QwFJMTqfGCoZicQ1OJ3xuR+s4JieREarwgTSWCNJUIUiLx D0B9gpRIBGkqEaSpRJASiSAlEv2DEokgPSbzuukxme+f/SAVE0EqJrZCg+sE KZEIUiLxWzQ0y/OKIPjpDB/W2yiRCFIi8WboztGIIPhXagKkRKLHPCWSeUVM vCBNJYI0lTibEVwnSIlkXhET73MvLpY/aCrxkXPgOkFKJIK0nMwrguAND8sf VEy81XJyMkRqvAMkb5ZfNJUIUjGZV6TGC1IxEaSpRJCmEsPDuRGp8Q6unByc yIUXpKnE8HBuRGq8t2o11rvoIpnv3AfcnAwRE++P2FnvoqlkWpjiZIiYeEFK JLpfNJU85zuz3k2JxPBwMkRMvCBNJfYmNU6GQ4lEkBKJ4ebgRBD8tJjG8g/P 7BKkYjKviIn3WSxgQkFKJIKUSAzRLM87kt8FaSrxYRxkwjty4bUup0TivStk Qt17MuF9UyJ5VWdASiRe8ZMJ75umkunDRzEZ7oiJF6RE4kAUEuPd6DGZFik7 L6ZE4pbt5uBEELwPAiAxvnz8QUokgjSVTN8w1tupiQhSE/F6onE0IvldkKYS b2ElE96DZ3YJUjGZdwTBC9JU4pPvyIR3UTHxoT6doxG58NOKLidDUTERpGIy 70iN96CSCTXKZMJ7UjExeZEJ7wiRn3fExBuSCbUeJhPeESI/7wiRd9AumVCQ THgvCijzjhB5qzbFwYmYeJV3kRj9WoFzI0Lk/S6vODibphJDMuEdqfGCVEzE MDSVPITDeg8VE0Ge2SVIAUWQphKboMiEVuw5GSJEXv089RRBmkrc7ZMJ20U9 xZBM2CJEXpAek9luekycjURibBEiP1uEyAvSY+IgZRJju3lmlyDlldkiRH62 iIn3EVYkxtYorzxtCCZDixD52SImXpAeE0HKK7NFiLzh4eBETLyzoEmMrVNe mS1C5AUpr0ybGln+oOVEkEd4OWUaLxW9n/vi4ERqvKU18mQbVFt8+hd5skWm /GyRGu9sUfLku4z9INUWQaotgrScCNJyIki1xZpt42hETPx0JiTrnZRXBCmv zBYh8oK0nIgWaTkRpLxi0iQxtgiRd8whiVG9MYmxLaotz5nynAyRKe8jukiM bdNyIki1ZbYIkX93mxGSCdumvDJbpMY7cpxM2A5NJYLUU2aL1HjnoqFZ1iOS phJDMqG+RmTCHqnxjjpH72x7FalPkNTXIyZekALK7JEL7xcHpL63W/ogBRRB CiiCdJEI0kViSOrrkRo/e6TGC9JU4pPwSH02Ft+8mHqKIPWU+ZuCgBRQDMl1 PWLiZ48g+PkEPvNiCiiG5LoeMfGzRxD8fA6Dx8WDAsrsERM/e8TEzx5B8PM5 CgIXFwWU2SMmfvaIiZ89guDns/OLF1NAmT1i4mePmPjZIwh+9kkXyXweBbyY eooTI9g798iFF6SLxC/buSbskRo/ewTBT0dls95FAUWQAsrsERM/ewTBTx+i z3o3BRRBCijersJmuUcQ/HTXzXo3BRRBCiizR0y8zwIj1/VDF8l0oCYnQ8TE +9xH9s49guCnN/2x/EMBRZACyhwREz9HBMH7dpIJx0UBRf+kgOLENfbOI4Lg fdo1mdAJXpgMI2LifbQQe+dx0zbi/TZkwhG58HNELvwckfxuSCZ0SMLmxRRQ 5ohc+Dki+d2QTGim67yYAsockQs/RwTBe2cTmfB9jfRBCihzREz8HBEEP30h yx8UUCzYkxhHxMTPEUHwPiKUxOhjxzkZIib+iYdhvUVTyfSZzrz7kQvvszjZ LI9Ifp/eecp6i4qJIZlwREz8HBEE7/fJZMIxqZgYkgm9xZWjETHx0wdQcjIs KiZzRIi8IXvnETHxPgeQTOgD+zgZFhUTQ/bOI1Lj59j0mDxbWjkZIlPekL3z iNT46QOwWP6mgCKio4AyR2TKzxGp8dPdPss/FFDMmSTGEZnygvSYTB/sgvK9 0RhzoyJT3tv62Ds7Nvzwp1RM/O6STFiRKT8rUuM9b8iEPlbg4sUUUJ7gN4xG RWq8j9UmE9rRjclQkSk/KzLlZ0VqvB1iJMZq1FNmRab8rMiUnxWp8bM6PSbT TkVMhopM+VmRKT8rUuOnzWksv1NemRWZ8rMiU35WpMYbkhht1+FkiEz5WZEp P+3uYPmDHpNppwTnRkTMz4qI+VkRIm9IYnxft38w1JaKiHn/EfKkdx6z/Blq S0XEvA8MZe9cESLvo5TJk96pybkREfPPZncOToTIz1q0nBiSJysy5WdFaryT VkmM3oHEyRCZ8rMiU97nPZMYva2E9e6QVyoy5WdFpvysSI0XpOXEtEBiFCQx VkTMz4oQ+Wn1lOWfkFcqIubnjNT4OS96THykPplwvpny/wnKBqW3 "], 1, { "Continuous", 1}, {"Discrete", 1}, 1, { ValueDimensions -> 1, DateFunction -> Automatic, ResamplingMethod -> {"Interpolation", InterpolationOrder -> 1}}}, True, 314.1];

3개월 이동 평균을 계산합니다.

In[3]:=
Click for copyable input
smooth = MovingMap[Median, data, {{3, "Month"}}]
Out[3]=

이 시계열은 평활화 되어있습니다.

In[4]:=
Click for copyable input
DateListPlot[{data, smooth}, PlotTheme -> "Detailed", PlotLegends -> {"data", "smoothing"}]
Out[4]=

1개월 단위로 구분하여 3개월의 이동 중앙값을 계산합니다.

In[5]:=
Click for copyable input
thin = MovingMap[Median, data, {{3, "Month"}, Right, "Month"}]
Out[5]=

다음으로 시계열을 평활화하고 얇게합니다.

In[6]:=
Click for copyable input
{data["PathLength"], smooth["PathLength"], thin["PathLength"]}
Out[6]=

결과를 비교합니다.

In[7]:=
Click for copyable input
DateListPlot[{data, smooth, thin}, PlotTheme -> "Detailed", PlotLegends -> {"data", "smoothing only", "smoothing and thinning"}]
Out[7]=

관련 예제

de en es fr ja pt-br ru zh