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GXrlRxqXLcqBz6yqHXrla7Wu1qHbuL2tU6PpeOz6Xl81mpHMzpfWnFfFblYYl6ABHenDuE2iHUwsFcZ+0Q6tKV3FRr16N2tXXllBfM5/OT8W9u0NpxoLYcsI28ka0ddpFlUVGYoh306t2FgcjWkKDZJ+dv0fqcmxaFx1RHRYPUbT5QLH2xioqmrfTTklkElaboMXjbefH2ylswofwslJ+FMwpQlFFHu9MKt/65KHyT85N3Hi59UZmiHzH3IxZ+RL8AReEHKXJfLKIitX399vKlk6/waiqcnpJlcw084lK54bzWikpGRdOgqkL7Tduy2ZB9c+2baz+K11/hFVjoKirabtpDrX7SgGg1PA1e6akYNDsBrfM6V8tw0m1/iqqFLxqB1XnY6fnFmzdgwQHl+NXFi5NdcDDgp383SuXXl3AL7NXp5eXp+W9+AxFugbkqu3v79Sb9epNZ7qFlVBS+KI1/gLsLs8uOJ7Nqa/O1xECl9hjtlA2aeJumammKTpWl8FP2q046P4Q310sc+N3J6W8vrQOlovpfjy+vtuoNcbkfwC09M0HyoDz3/FKSfinJ0s+q9CwrKw+1Cmj9Loew8kNXXhyVH6byw1TKQ1UElb6oTNEL1O0NXLRtC9+g8A0K38ATVXmi3KrCjQaEffHGwL2M3boCV9EtXemWwmtkaHulyNrTVnvaak9F7alwuw+4m9IXncIorzBKiFie5xenl8bBdEEHFAtftMgvfvEugXLbwYuT88vTq3+ML5+DUoWA1xfvTmxjPylpqb548eLSd4IKN/jxm99OvF+jZB5VUD/n+FOt8EVpikW4N15tdSp8p8J3chJTzmt/dQx+kJeqcm47Fw0Sv1yoaKGe/95jVM5lxGDSkOgXkfKLSDmPEDxQXKgeqnyRHLa/jZ8DlZbbhee2d/iU8/j+BnvmcdBU+WLuiwU3fXX6wsNKX6x8UZuiVx6/e1KR94qLt3ZMr1redVTed1TeKVSliIqmgd9Pld9PlfcHVRUUi6ho2lZ+YL9XqjqLiqatX4jKrz7lVx8VpS8aftYBXj9w7dUNi7Zt6duWvm3p25a+rZ967XlWV75t5dt6jXZbIxelL9q2nut17dvWvm1t2+Z+y8z9lklFaYrCN5C+qHwx98XCF0tfJDI7ics7pkfp4n5I+cyD92KY9dNsKPBBpSzL4EXji7YQcOh0XvpnPy0L07wq+mk1LJqeqPC1UP20GKo9rzVgrofCvpY1IBrWrrbGWveqpcYpSG0BWSEQG3Yvqb0usIN2g0t4ymHl2kOr0jYWsp+KoXR15pG7RzWU9IAWmiph6sr2VjAS2BvqAhwr+OmaSl1U4HG7JzbmISTOOCoJIIyf3L2k0flJ3M/NhKiLn3BGFEiuyXUOb/g03XCydno4O5grvQG3dQ6VNf6xQyBeywJgqcjMS4kMhYetg7fC1hEz7UuNGL1YsZv2OmB5K9yDRi58RRb+KR3lNcoTZ+7/sWSoAWoDD6EjQrKtDsIMhZzkHjtblfxHMZ8yWTSDDNrWUIra5a3Z40M6snxt6SarDUqk0aMQyuGIHpkRwtYEt0Hff4h9j5B5MlI3827UyKj8DinKXe8i6IqvwhJE2ujgKniC7iCHA/GT7REhpD3DQEwib5Mti3ARyzZF2/wBKnPwysuqrkWtcgj2UJAtUMAEViYdqgxbjqDNLvVS8QPNG9s3Y+DCdb9THP4halAtlWmdwfYF8X5OBqQuIxjMWTJ5rX9ojVpAM/c9YD/HnbSrslQaeVgL8NHA4iGiFqwKdC1UHa2VhOkWWkDQWut8B0yxWdwjku9Jyu5IsAgtdJdCky0tkSAmq62isbqCMkNbxa22ni2DwHL802aBe4PV0dFib639QHOzcGNmbG1jtQu4h7gaRi6x9V4jI4dkFGF6MsaoHYm+hLxCi5vtNFtmh9pRZfc7kbXsVYtRcmvHEnvtpNizHv1+onY8QBSoen7LqmSrSI+88J5D4U1i5iQuWjLb5W60NEdskbmlA9lOw75jA5DaA7i8ZWWMokr/zHwxXBiZL0YuYSj4PCZva9H/mceon95uHu+bI/BMzUF6B4+hT+fzhw2dnZpD0p/8gWaKh80NnVfO183sM55jzr5MHtfpzXLe2MP2YfLu+AW4vFliziuhLBJzYAllmQQJA3jPk/YRJQDLxB1NwptO3IkkIssSfxKJ7zJxJ5D4SgjtySMCyiQ8cUSITtonjTixLGmdMCJQJq2TRQTmiT8axPcy2TpJRLBOWieIAFRZYk8O8U0mrRNDBOZJ66QQgWViTwjxTSetk0HkJDBm60QQ4TIxJ4H4kifmBBBfyqR18odAnfgTP3gvEG140ocwmdgTPnyzLMfsH747jluATuKTPBQxs9u+sRDdyR2C8sSe2OEbq4R900l4QgeQyhIftKpkEp/IIQzotydx+Fom2ydwCNfJ9skbqmKW4IkblmRycY4odJHEZ2gIq5PoxAxAtUzi8zGEFUl4GoYQnYRnX6TuIgmOtQhSJuZsiNS/TKKjG4SpKolOamhdAMPfXVCpSHacvFBNlbiDD1o6WeLOM+i9SNzhBb2DipsTBXyt6sQcH9Aqk4nP/xOgTqL8PMJqC7PJeFqJpmdsKWSWJ7vS7FSlk92ZdqqskzCtjiAwGkE6nSB50s6H0/oXSZwHJ6BK2klvApfJVgIb4bDKtxLXBHdDutQ0gcHe+dwy2ZsicTlasjcqaadeCayTMDWKINBjk/wkgwTmJkx6EixPorwnwYrEJzkJgDbBJjcRUGdJK6lJUJm005YEBtvlspFkA0VCOUQq14nJEuKbUIlNCdJrmXDSj2xlllBaj8qgChdvCaxEkvwfukd123xIx/fLLwdXL/vph8nNZrnqp83X+86PSQr/+KYWdLl6+R6GHBHwy90UNjtolD5DOC7uETfHf9MPeD3oAHGk/zsVviLA1z0yY7lKft1RgcMc0e2wId02Q8TpIY4LK3PUMbPcPKwWBnlEGezKi1uibdJPr/vpF0MXTPI6fXaUTvz0DJJJ2ksPrgeTTvdLEoEH6cFkcI3gaICJwT9/6Kef++ls2U/vpmaUv6SXy9n0drp5tDfl8HLXwee0C36cKjvpZplOFvY2VR+9BKLiZjIDR+H6EVoJPSRU61vkwgP0JFYwHqZ+krF8SA4MEVsQ2Ybg1azf8TLZarL42BxUnUiCv6c/pyoWHYnhYXCAnEdFHA1+73RhWtAa5vUs3apoZuvG6A2q6siLFCp24e4d/D5wSBCFa/OFZ2/VfMRTPAJN5lEOqBKV3lfJlCiEUh42gsXg2wjXpginO+p03NC3U7wXeNPADGbLwT12vQfmzJYG6f3gbsrAZyB4h4UY7bF8g+4W0yEzDZ5++cT9XLfZ9FMzm94tl7d+CR4emEIP/uKCHnW/db91Al7BIvIdHRzUpHeUfvHvgt67955UGGRyvQaS5g+dw/mDbyq56W2X0c2xoTicZEnYbR52Wzc3ywXVSNvOrKR531QOAB0xgps+S/Hd8sHZ7lHLUq3Bq56CGQjW3PJ6DTjvl5s+3gEdc+l6SjcFP4FVm67WAFiD0VpgxcMjvnxrvCkA/T062mHKEE6IbcPPIPlocr7tZ5ZQMG8S4BLAdlJdK7kBTI4FBhrj651kBzDvjh2Tph8tTqaEtQeb05VMi2SnTeZVN7lfN2RGposDyw1o294WA7VlwnpEWeBQjboHBtvALpioC8kFBtpnHZPv4WYNG9Md0hnZBYJ89pDPEWv+mHqLrB8i+e7cADfeV22x/kODVgBkR9vHwyMrK8gqFA42okk4p7Alh8VyNZ/MjGJ5lYB+Ha8AUf9ONF7cLW54GKFr77zT2wcaGBcrz6K90Hl+03XDyhx6RqOexdC1hajbJxTM4cHnHvVvj00rP9iNkec8hX76qQP89xTh65YhtLaDRRVVN4YisAIhOZvlZjIboxZ+RkNpPDrugta46TaHpg1bsWaxxo36yLtDWwb32yGUIm9wxJONvEGzGJa3t2u0+oy3izicfzg69Lu4mYRTPDRNrEHefQxUiNB2j3y9cxtHyR77sLNz2+kcBW5G28P4Mr3d3OG16rvpYLZ0LI63RjCWbEqDzRH8Bd4dyUPYvT1+o5WI2N0GiWI0u/98skYu0gwOD+hPz/h+4CB0AtkQmi7/ccyk7mSzvTcdWgbGHld76R0eUQsC3K+W19AU4X5QfOOxPo0nq2taAqFSzQ20pfm0YVEP7jxvwAuMWzmTRSj6NDw3vm42X5pmYTddrB7Y5k40nyerqREN9uyG64vG7bl3wty1lrFHzVuVZkj71+2GdpBndufD3SPYEv0kgvrIFwDC+64dUxnt9zdLMOz485SDS1xo/fRr1k8fM+dfH6/RhbVeNnB2MXuMfs5Cv7Cg3w6AIKcfF/h7FHCvZ/hbA/rNzCX715fvsxHP0yZpRgYu9sDVqBUWXb4vEPSYHX7NkD3w3OHgxXkP27M0yKIMiK2sWpWcC7G1eqvrP/3ci1YlxumOAPW9nrZya2uGuhzrkNxQliGL+jHDtiQ6+QBenBXpu346XY/JLZvMlw+LzfirKwFsM503YBfm9/3U/GYK623x0agCOACfx7g1H5EoPQy2Z4IJ45BN1pvxZk0gOTJmbNXc4K9gCKhMwHSzodfcoLqbbEKaQZXmEwKUFu+cXitb/62hdz0yu9HXcWN61Ay6QQJ5ama++DsrBphRH2BRrPCnNLQvkVAMdjLwR543A0sX6J0DgvpZ8HZ4sWi+jMGXvg+x+A7OCzKtfkxabuQYf5u2YwLJbncz6EW6sdvdnD/MWvuvS2mDShkcndDb8rJ7drS93bWla832gQM6/7ULY38nQL1uZkuk1xlGhyHuuWfEAfdHN44KPzvXfXfch9rXjTnh0vm7OEHq1urgE/67eliFbHVypwJ7+M1KG5g13LpDldgXfUwXpNuoC4TjsK0RPn/eCiZ4ZcGz61vxFHuINHKFo2qPJl5HOIcA0g83J9/HLs84aUIBx5GtbNVSAHLkTdOhs1fIOv/S3hXQuNgFx4ZmVzBqTJALRzkacXYP025kRQ1OY/uo6cfJnGxPEBzYUOV7mghNTM9d88Gf3U1pgbspxesmbtBlVK1pUthLNd6w3UAohxmw1vYaxXv7XdyPUYBr13ffubw25T/qtLNLxJp4BQXHAYDiY7DgeK+Qoygu380o296JmdQLjck6dLRYjp2edy8HVoidzqHxedvaELiMCOmnN5jjDOzCTn4OAuKC04yRT3ka79KIcIC4O4c0ptXR7+auJjNoY/wHd5w38iK0PbaOAEdx8sgF4ST0cNU5tVhP5kjZrxNAyZ77/f0SIq4Y6NJMXiwPuPVZHX3WEs+t4A03FjBA/9deCfM8DrCnm2EHyw/3UcNgfkge9ouUCN5jzDuZSWejoz05Ipq4FzctuphQJwGnVB8nNKX55OsBOTdobVtHqryK7JGqWUA8O9hGIl3zKHfWkDncpD8fUZstG4d//NKgETo9Q0GXXi0Wx0zUD8pY8DnxaOdGtG/RAL8EE+f670u/8dpAAwMl0+WqZU+sc+j4GByuYxol3rPCyu3sExG2I6dEcDapuyiNk0zU7nvJpbZJ3ptf8qa6LS7X8OLsxajH43vg+ck7EyxMvsCWD94RWhjj47t98jHcJx+/b2LQWe6n0T4Oce3YhOmtRPGOxkadbOKYjHnfbad9t4Fu5Y9trOIo6UQhUzBIFC7hFAwHmHrSIYuDna/4XoHXBu7yjPek+OJHqN0P6zuHFzp0jf8c3JRgJbfHz6PItWO69jvPiNe993Aw56HHuLa95xCNd71pvrEPzzTs94mP8Nk13nBwwQRWFVEcqm27SctbPqI/Xeso/wGyrTZb2Njn+Na4tGHHBn5mL0U9+7c3Uu6OuKHkPHTPbx9XmlLXNInogbqImnYDc4rKEawobQRsw9PK7TME+zktq3z4YyAYAPaOUjH0aFbz3oGZ0WA17xxiG7scKNexmttXym64euw0m1I2bMJmejXvW+KIAQMZ0P6v7zUUpqF15V3w0Yu8wuiijk3erqYf8bseYxd9xOBAhSxvMLfjrm7s3n9WvMdSXsafKkBAOPbJAJX7KkyPjV0qQanIGWFk+9wRM9TO1I/NjXrs+7CEE9iZKNqbJmjFfJ7Iw+DkKbrZMto6M8CvxZDNCJ3y+OYLiLB1mtW+BBOe5QaMwT9dN0YrknTwuGskqS379KWZfrwLrkoM3Ha05fY655W1c4X2D0Jhh4ELIYMtYa1rPCMjut33eNrCnK7X+JUZI5GGjF94ycf6d+6OT0ske2fqXQszRmeXdveOtjD4g+5mslrw5EJD1RJ2p9vqFupnmD234H5qdleLvxP6yJQcRUUIgIo3azfrsIr2d4c7dAkn09k4VCx/duYuRo3a7QMTEkrYXZoahcuSVceNHQzgblMFtwbIZgX8AEA/nGa/Zay2NrOgr2Gjn/PuzsQx0xtzNY5DH64n9jjRJYR7zu2liXfJUe4FSSCCAppexBUGu5EY/ZxyvjRKz26P1M7sJBborklyzb/42TOOAleAc+GR9swxWXgZ0kzV4g4yv+GGEWaAox3DZqXX64dVE/pCQfbSHEZ+jlylIJBz3UNj4tORPPanxuQ07M3OURdQ9gzAUwPArtkyXQLK4Pe2g7PqyJMeIvb7PmXWET6gAdHMIeOe8fjbzkzsGPruMVo/3J9Eu95AWDmOQ5GtO4WjHjrgviq4Vhhi8f6Wc9kc+s6hK+7wxNZ30w/G+seXakFnLGr2qzabFfuy1MVPKbyC7M9y6VLDkScylkvPYGlxFZ4DOw66bQB85gb+M4LZwstSgWeI95rEsh/vZEYnbmjUTYRJuTtDEvnCeAHrAKPddoOfud55nowqoH65XBt+t651j7pk9CP/JAqnueuz4IaDu0va2jKDQbZa/lHsZMRDKL4TGxlu+2bQb7yeLe+N0dy+ar3bDGxfvTYyWH/ag842+yN0dlh3cXJqbq65S+GjtrGIKnsHqDYRqNN1VDoBk47uwcpa3cKKSt7C6ohN/FxwMWNWi6J6k7+iZAa/8Q8ubDKLxrE9KPr/gx47L2gxLTg8qZvl174bQY5nvkGgMH6dAVbE5zi1D5/jVgvffkzB3eldXA+rEzerPVTuxuVo3MIFmN7h4fuzNAuCyq/8C/Bmfr95PDg/9R7K4s6a+WxYsVHPhsr343N83qbx10nDgYlLuZZO89FBka0KObIpgWKrEzl+NsDers5HJjGxXUUupt/HozqKg3mPWdx1Dhd31D9oUBn/dLqkmnaibuCrgk50HcCGHltU1lgrhq2QpMWirJXH6oqmbDUhNoaRlx52DnXURI5sOmGLL3/BgBHCw/uHzTo9oBNAuvoM+wh9NnLy4QP8TTFfjDEB/UrqXeik8qUSSou4A2gYSo/o92HB/UJzJBdmQcVwQL/125P4dNWtXOcqVMjSD7FihXOZvKCCmBRHESvWM5tmDODKwcMLhStWLqI4AJJaHXwOdMcHXLChTv297rIT2wYQjOpNacbvp6Puu/eiR4Aels5P+SW0ZWZtimGMB7gNuuSzPn9yeO4qM5xCj+ewq74M6rtRo+gU0EXYaDuKrQnSUnAKso9DYFxaaYsPwKUpEp0Pt2dPVUdQ1bpca3v9nA6+020Q9MMksOjJ7vmpA91h7vrd+2Xv/CWA4YnVLz31dA60Vd8To4i4u4C4ly3ivkUI7kbfE94WZxhBjzHcIQIQz9e2DIET34AN2XBX56M028G5b3uY/W2b08CiXosHd6Put7jNZKtNu9mWb9C7uwY7N8jxJ6Ed+sl/p7URBm5B726ys7G5RWZXtrk8Zhf0JS/+WCPp4CE8RDc3y+KI7tJtMuFVM3dkaS6Q0a4XXhqzwai5JeZi0EveCMLQ79LYfW+vzL0ue5E+Sc5P6ddnyflL+oHp+TunwC19lNGNL5OetXf9Zg8N3vn90d8iBAjGA9hg6+c4COwdUJsBljvdT+5HB4RyQHUWHPQa0J2IW9BEul5JJh50D/6dYyLiSOkCvzfz8vjo3/3SjNSlUKIqRa3rso6+NJOLItdCC5WLPMMvywTfnSllUUtVZ6KoVCXyIvrsTF4XZaVLVVZSVjV+dSb8Jk0my6LIpFBFJQR+myX4Qg1CRKaFzKoqE1vfqynyShaVLKUooXP89RolKwmzrHQuyrwQ7U/ZaKWkrGWZ53Upc936sI0uKl1kdaZh7KpsfeWmqGG4oiyELmVZFXn80Zsc+hYKmKSErmtZh9/AEZXOClGKUupCAn//4JM4BVBRKslUavx8Rfh9HFmoAnhTFVqWqi6qKvxejoLZF1Uuy7qGYum/noPU5VqrTGa1BL5U6n/yWzoKBiqkADZVRZVVZeF+rQ7CzIqiqoWCaiXwMyLht3aA6xLUCPRNiSLLa/8JlFLWeSkzoLwG0nHU8DM8hchBa5WoFQyASN1XeQBVhd+ukCIDlanCj/ToISDKc1AxGLESWBd/rweVBCRdAVuLmgTuPt8DMynzDBQhp4nq6HM+oCoaNEXmoP2kvMG3fUrQOyGkzMsKOJGHn/opNCwXJL/Mq1LjR5vcl3+qHGaWgfJmNdSrPPoOUIWcgmoBaxEwq6evAj19Fejpq0BPXwV6+irQ01eBnr4K9PRVoH/7q0DkxYDjI2rwO0ohcqXJXVSVKkqwcrqswVGppWN2sFUYdyb+I7ZBgUFtLRjTAJwgcInQfaOha/Cc0YiBC1YK8B8FlvVQkKtImgvOJDqassrRD84xUhkQwu8/vcD21BkAjgtEI1aYtsLwg6Bg8zN0l6kIUVTBRam0EMa+VZWkrbUSumI/vQJXlbuDbyjQqMkhuMUSv/EJ6CGiIlcV6tGy0khiiEEWG3KYRo0u+CDH70wWNVWXRSkynkgNQ8mSixB6FRwaVarUmpqCb17hXg1cg2CJS+Cml7o0dECgV/Pw4LBWJAEIxWBro6+LasTJHxbVWtC3Lytwv9E0g4Nf6JySCLmqaZL4wVGI9TThAz+7LhWbjqyuGYjhlJS8XdZZXRnCIW5gGcJmRqEchlKaHFPCBFCeJDr3ij4OqjMMSJnZ4CtL45lqnngFWyKZFIqeatrAagjaBAu5yijYgtgMwpZacIST1/g9TjmEiFGRmGGvV1LnPBxEsJowlhD6ZVyNnn/BQVWVQdDCsoOgiidb5cBmZpBQVclTLHWWUViYQ/QmalICCB1qlgfEF+DZEx6oF4oZgGEW2niCChAeYYKosOR6CMgryaNLEjhBIfbKeHgIfQRzqMghVC74g6ugDhy8Q8Ra5CyTjIJ3wAORlMhZZhAiytx84rXUFWMEiQgjZwxeSa0zjNoEkw4RlWTpljVGO6RDuVa8UjDyrsmDBA6p3DQEdtJSwFUBoTXzGPwfXiuoZjlwmYsQNVeG81KwigLvcs0LEULPnFdviWEY61NZldwZtJsSAqCOsLg0I1eYLsDABmiDYMgwvkCN4tUjCkGKAgF7lfMyrYpCaP5ULXhTSCQMSctUoMYVsNBMCgDCY8HIgXBeNBpU0zAbrJwWhjBYH2ZBgodJQ6KXl5dZzp/71WXBqgJmW5mikqrQvMh1VqHCkgRzyqcg0kLJjPHDkixy1jpJUsfUQEUmAjmjlNZGe8pCYIAJ1qoGc0RkZJiSMHoG8a2iJVSrkgQk0IBlpVkEMF5B7MphVym5BKuKBgS/Mzc2MdNgzFmzFQTekq2AQs2mdQwePkkXNR80omSbCAIozcoB/5VkpYagcXlBhqlEfZdYAiMtjcWuM5BraZRT04d40d7AuuBlDQasEsTDCkyeMVcCAvCamACLTpV2R5A106EqazxB8StOr8CWVUi2lCATyWTCyJWx3bCoaS2DIcnBKHByBuyXMPYaplmRuUfzZ+QHS4AIwnpQQyWM7Qaryr1gvdSIH4MsLUwJ9ZBXgUBPn4AScGaFyUFQdmGA/CooJsCJwhanjJEUWWG+w6xg5UnO1sF+URvbB0EDL1HYH4Fm0ngwOZxCk7IUhsOaM1alynLev0HiNW/1sCLRmBFPYe8c9bc/UXiFl73PX5y+OL46OaKM5/Bmef94wDW/HT19aPvpQ9tPH9p+Sqk9pdSeUmpPKbWnlNpTSu0ppfb/PKWGORkwagLDMfAvSRLgesN6r8DnlKWi9M1TSu3fSqlpSuRgYCPoUBuRVooO4CFIhfARfXJOqdUmYyDyirIllFKDgJVO8iWYd8wSQYwlMbfAcUoJszP5gVphOGeixlxyIk9XWpqsj9Qmh5UriGlK49DrzESXVS1NRkOAoCVHzpWuOQFUFDYrA45spUuOFBXFUphT0yb/lcPcOOYvMW9iMyB1ZUiHzVIqHlHqvMp5k8CDao4OMR6tmTQQeG5SZSBf0x+Cw6IwWQ6RlZnx5LNSG3aXFLXQCXhZCk4UY/aJ20E17ZY5xLUmG5ZpMo2k6RkHFjrXklOepaotp2vwMaTiapnx9QTYdCnHgOzF4JyZCqvHhJiw+llmmFWTdF0AE1egEyY+ymtOUmMSwKhZCauPOQgkCJtVA+QmQZkJkUlpsmpKclYmK5SoKhO0Z5mZk4Rd2mQgC6YceakrxUkZWO45pStA3OACsJLWOacTAFK6pFphiADGKMnRnBJ1bbJ0LpWbo45xYAyEGV0E9ovc6JgAQXBeFjSCY/MC70RoyqnVqpDa5NSqPDeZZuitlFkLJaU1B6RmNgOWF0XFeUAI+ElCmFPLi8okLmFVcNIF5GLygQJm6XNqvCgkpp1MVqSuq5rIgBWbmwwXCE1yhiIHyrVLBBhJVxWoKCWWsjpTgvOBoMzkuwCRpWbTienajFIzIC/gNd80gvkaEjWIwpAIkyjM2IUQJkeUlxVrUaFg3RsO61qZPBlMvTS521yJ3MxNWPmBmkmjRmA2Kpv6K0EnTAq9FLWxUXgvyuhOrYTIzQlAUXL2DTROSZNHyUz3GpZLZXJqBVk4JCnLi4wzaQVmZ7kkaIEBC7WqTN4ZlnORm6SaFJxZxGyVNllPUWW6MEk1MCdsQEH/KyPfAkwVLRc1lArNJjEMdIKzkboqKCmKtBd5ZhUA8AuTeQSbUHJOjZY3VEJJ5tYmZpwuLquMTQJqOcrDZFdzzYyTAiwLZ1dUoaVkSwk84rFzWL4ZL8+yrrLSJOczxWYLL0cZew2Wo+AjlAovBtmcmuD0KWYWZZWZXDeYIZtTg63DpEzw8plijQVplCzrDGgyObXSHJdkBWztJefUgDaTUpM18whTamCSOeMCdkialBpsXMw32MNkkRtVUJxCBr5pFhosNZNcBSstBR+3gEeRcU4tA37UvJbwKhbbDgn6uiepdvWUOXvKnD1lzp4yZ0+Zs6fM2VPm7Clz9pQ5e8qc/f+SOcueMmdPmbOnzNlT5uwpc/aUOXvKnD1lzv5vZs7eXEq8iHZl7qH9xKD39LvcgfyR/o6OxDD4FfF6s5ps7P8E8rr/Neu7/wXE/u9C4f8V8vq9wWJabmGy/wPF6775nqv7ryfc/zzh/+MJ//9OtP/biWhsh9MN/ppp+nH03x0l+S+gwkeY","port_sha256":"d84cb433945405514683e3a2f653219a572e3ed011925dbad87e1d8be1d05f2a","notes":["All numerical evaluation results measured locally; source hashes verified before use. Kit unit tests: 9 passed.","Gate A compares CA core with CG weights and T constants against original CG code. Gate C compares frozen rounded policy against emitted Solidity on 50x2000 callbacks.","Replica uses distribution-matched independent RNG streams; market paths differ from Rust.","over_IB is defined as over_T minus the brief reference 1.7690; no IB arm was run.","Retail and arb deltas use kit constant-k reconstruction; arb volume cross-check error reported.","No leaderboard submission or top-10 ranking claim.","Candidate engine seeds 8128000..8128063 were consumed but excluded because kit decomposition assumed initial fee 0.0004. The run returned, but telemetry was not persisted before decomposition raised. They were never rerun. Confirmation instead uses fresh 8128064..8129087; CG extended to 8129087.","Arb reconstruction corrected to initialize fees from frozen BASE_FEE, as afterInitialize returns BASE_FEE. Frozen strategy itself was unchanged.","Frozen port is self-contained except numpy and numba; code uses upstream AMMStrategyBase.sol and IAMMStrategy.sol. Runtime installation remains in deleted scratch; no executable dependency bundle is delivered.","Decode code_zb64 and port_zb64 with base64 then zlib. Frozen port TH_CANDIDATE and TH_HA are candidate; TH_CG is original CG; TH_T is original T. All use packed constants followed by the 217-entry W vector."]}
