{"coverage":{"10000..12047":{"base":{"n":2048,"first":10000,"last":12047,"gaps":0,"duplicates":0},"FlagSell":{"n":2048,"first":10000,"last":12047,"gaps":0,"duplicates":0},"FlagBuy":{"n":2048,"first":10000,"last":12047,"gaps":0,"duplicates":0},"FlagAll":{"n":2048,"first":10000,"last":12047,"gaps":0,"duplicates":0}},"64000..65023":{"base":{"n":1024,"first":64000,"last":65023,"gaps":0,"duplicates":0},"FlagSell":{"n":1024,"first":64000,"last":65023,"gaps":0,"duplicates":0},"FlagBuy":{"n":1024,"first":64000,"last":65023,"gaps":0,"duplicates":0},"FlagAll":{"n":1024,"first":64000,"last":65023,"gaps":0,"duplicates":0}}},"paired":{"10000..12047":{"mean_edges":{"base":533.2628306665031,"FlagSell":535.2998739950199,"FlagBuy":535.281453643562,"FlagAll":536.4303409895871},"comparisons":{"FlagSell-base":{"n":2048,"mean_diff":2.0370433285168046,"se":0.018857482700314156,"worst5":[{"seed":11701,"diff":-1.8932826913702456},{"seed":10146,"diff":-1.4052865297487642},{"seed":11062,"diff":-1.289270529935834},{"seed":10476,"diff":-1.0855912484274768},{"seed":10498,"diff":-0.788584514701256}],"wins":2035},"FlagBuy-base":{"n":2048,"mean_diff":2.018622977058917,"se":0.018711825159457175,"worst5":[{"seed":11062,"diff":-1.8188211029238346},{"seed":10146,"diff":-0.9966197449285801},{"seed":10256,"diff":-0.9113130344431966},{"seed":11376,"diff":-0.9075469354098686},{"seed":11224,"diff":-0.8184560309782682}],"wins":2030},"FlagAll-base":{"n":2048,"mean_diff":3.167510323083941,"se":0.022385773867452264,"worst5":[{"seed":11062,"diff":-1.3007952811217365},{"seed":10146,"diff":-0.01615525243778393},{"seed":11519,"diff":0.09558604262929293},{"seed":11376,"diff":0.2773640732128797},{"seed":10141,"diff":0.29737815162343395}],"wins":2046},"FlagAll-FlagSell":{"n":2048,"mean_diff":1.1304669945671364,"se":0.01425803414381157,"worst5":[{"seed":10246,"diff":-1.3540694343392943},{"seed":10449,"diff":-1.1930367916326077},{"seed":10230,"diff":-1.1317107048154185},{"seed":10998,"diff":-1.0324702119490894},{"seed":11945,"diff":-0.9744495848617589}],"wins":1974}}},"64000..65023":{"mean_edges":{"base":535.720495471628,"FlagSell":537.7444658230106,"FlagBuy":537.706083593177,"FlagAll":538.8334785759946},"comparisons":{"FlagSell-base":{"n":1024,"mean_diff":2.023970351382628,"se":0.02566061618738951,"worst5":[{"seed":64672,"diff":-0.4278406660575911},{"seed":64963,"diff":-0.2961678908849308},{"seed":64703,"diff":-0.2629502402738808},{"seed":64509,"diff":-0.11887055118540957},{"seed":64088,"diff":-0.0590188480470033}],"wins":1019},"FlagBuy-base":{"n":1024,"mean_diff":1.9855881215489783,"se":0.025518290280402384,"worst5":[{"seed":64322,"diff":-2.0803388398664993},{"seed":64593,"diff":-0.8458931335030684},{"seed":64327,"diff":-0.47379880070047875},{"seed":64640,"diff":-0.10257447382610962},{"seed":64020,"diff":-0.05047477858425964}],"wins":1016},"FlagAll-base":{"n":1024,"mean_diff":3.1129831043665583,"se":0.03098738720075989,"worst5":[{"seed":64322,"diff":0.0875597774987682},{"seed":64509,"diff":0.1481829199975664},{"seed":64593,"diff":0.2083636110169209},{"seed":64109,"diff":0.5709660124865081},{"seed":64636,"diff":0.5813548952910423}],"wins":1024},"FlagAll-FlagSell":{"n":1024,"mean_diff":1.0890127529839302,"se":0.020581965728067784,"worst5":[{"seed":64322,"diff":-2.3980938386796424},{"seed":64901,"diff":-1.6497558876314997},{"seed":64434,"diff":-0.8125738062323649},{"seed":64533,"diff":-0.737048134228985},{"seed":64003,"diff":-0.64360968155097}],"wins":978}}}},"additivity":{"10000..12047":{"sum_of_one_side_gains":4.055666305575722,"all_side_gain":3.167510323083941,"sum_minus_all":{"n":2048,"mean_diff":0.8881559824917808,"se":0.01582707089251789,"worst5":[{"seed":10146,"diff":-2.3857510222395604},{"seed":10256,"diff":-1.8741716910568584},{"seed":11062,"diff":-1.8072963517379321},{"seed":10822,"diff":-1.7001870385437314},{"seed":11224,"diff":-1.4459699316997785}],"wins":1849},"definition":"Per seed: FlagSell + FlagBuy - FlagAll - base. Zero means additive."},"64000..65023":{"sum_of_one_side_gains":4.009558472931607,"all_side_gain":3.1129831043665583,"sum_minus_all":{"n":1024,"mean_diff":0.8965753685650482,"se":0.02220391461396699,"worst5":[{"seed":64494,"diff":-2.075566158215338},{"seed":64614,"diff":-1.6264902662284157},{"seed":64327,"diff":-1.5208309691370232},{"seed":64400,"diff":-0.9512746919602364},{"seed":64693,"diff":-0.8287257376741763}],"wins":927},"definition":"Per seed: FlagSell + FlagBuy - FlagAll - base. Zero means additive."}},"first_trades":{"10000..12047":{"sell":{"count":7181967,"true_arb":3921008,"errors":1242721,"false_arb":639566,"false_retail":603155,"true_arb_share":0.5459518262893717,"error_rate":0.17303351574854076},"buy":{"count":7192478,"true_arb":3935745,"errors":1245109,"false_arb":637682,"false_retail":607427,"true_arb_share":0.5472029250558709,"error_rate":0.17311266019861304}},"64000..65023":{"sell":{"count":3597915,"true_arb":1967436,"errors":619725,"false_arb":319917,"false_retail":299808,"true_arb_share":0.5468267037992838,"error_rate":0.17224559223883834},"buy":{"count":3599432,"true_arb":1972345,"errors":619636,"false_arb":317852,"false_retail":301784,"true_arb_share":0.5479600670327985,"error_rate":0.1721482722829602}}},"checkpoint_sha256":{"10000..12047":{"base":"5d5a3d120bc98bb83cfd5d2daec64123cc6d67f96697c2c7d5b01aba047364fb","FlagSell":"b49075d7489bdcafb7b19c262083e17e91d8142af0d7f786703b535ccdb6abe5","FlagBuy":"254c91764b46654d3683b85e0592ce4517bb18fbf3c6fa6d723319a60ec16521","FlagAll":"1c038561486384a32327642eaf9263126d2ec3d5680e4d8d69db305587d713fa"},"64000..65023":{"base":"da77cd8e8fd921956141c444b73a9c5faca89a6d8e75a25886a791598e330e7d","FlagSell":"9eb9901e6fa6df8946a6dc88f0cb1698a63635230e95cc67107b59abe0c39e47","FlagBuy":"b001515d01fc5cd2a517ecd676f465e75031a696f684a3fdc26257eccb347419","FlagAll":"7406ed251d888ff65b09c74220e700f9f805465928f7b4ca0323e9b633ccd5d3"}},"credit":"Taylor (gtmcknight): replica, Gaussian filter, dynamic program and qm tables; amm-sim @4812a6382311624e1506aca131ca35c378f930d9, research/solved.","gates_output":"seed   perfect-info      gaussian+plain    gaussian+qm       lattice+qm\n10000  448.261189  443.455598  443.522608  443.663520\n10001  576.779199  571.463409  571.623551  571.977293\n10002  531.886497  525.168028  525.865859  526.411631\n","hashes":{"verified_inputs":{"manifest":"d360bea6c8c982717b7b43a8069a87013169c89ee3e4da25622db4d880b936d4","combo.py":"c5b711a0b4fb4783e8879a484bf87a427171f4a11aa5eb5ec3513c24ead1a796","twocomp.py":"9d3c1833321493fb51bbde4e1b4dabc2f8978bd6d774ee2af8dc8aed13f0f0af","qmref.py":"1dfc9b7a3c2237ff7a93dd9f0af54b9bdab16f2ce0a7eb00784cb4432598db92","blob.bin":"3ac7cb8811ecfb6a17f499aa4e9b70dd55f7fb6432b3aec3b904e11a3dece38e"},"bundle_files":{"qmref.py":"1dfc9b7a3c2237ff7a93dd9f0af54b9bdab16f2ce0a7eb00784cb4432598db92","blob.bin":"3ac7cb8811ecfb6a17f499aa4e9b70dd55f7fb6432b3aec3b904e11a3dece38e","combo.py":"c5b711a0b4fb4783e8879a484bf87a427171f4a11aa5eb5ec3513c24ead1a796","twocomp.py":"9d3c1833321493fb51bbde4e1b4dabc2f8978bd6d774ee2af8dc8aed13f0f0af","replica2.py":"6e37b4e61e1ffa5ffb1e43912ddb8659105989aa986eb48fcd1d7608f8dca685","FlagSell.py":"4062ee1c7a8df6d5183dc8284aec4d523755d9540258709df060deabea783b5d","FlagBuy.py":"5f83b41455e403f95efeb0de77609c9e5fcb2b9549f1c61b0aab7d0d59864bae","FlagAll.py":"e78e9f9ad58838098d733089098f3182dfbc7bcbe5709226e6956a45acb3bdf4","ObservedBase.py":"6418b7d6420f051e9d8e21557f04ac78b85ffa12872994653d8eb43e6138aae5","check.py":"26975da5c409faed25e9ef835a742683943246c54b3766f261c263400340f2f8","screen.py":"6a74f1d00c169bee45e36aa30fb3f9a6620d96ab210c2baaade916231db0fc38","aggregate.py":"6ca7ac5cba24952e4d4cd00fab2fc7b56d301218bbf76ece33a68d481a5e58e0","README.txt":"1041f91836f17445e78e31c991eb92ae3acd978938ba661480e537f506ad5d03"},"input_urls":{"manifest":"https://api.imd.fun/artifacts/d360bea6c8c982717b7b43a8069a87013169c89ee3e4da25622db4d880b936d4","combo.py":"https://api.imd.fun/artifacts/d360bea6c8c982717b7b43a8069a87013169c89ee3e4da25622db4d880b936d4","twocomp.py":"https://api.imd.fun/artifacts/d3c849db2ac31e567b57e52b80b86e8c24c842e5b4125b9d75c78e3cb07115b9","qmref.py":"https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/31ff8ed128b463cde10ea0a71d354f8c54d4464a/reference/qt1/qmref.py","blob.bin":"https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/31ff8ed128b463cde10ea0a71d354f8c54d4464a/reference/qt1/blob.bin"}},"checks":{"QMRef":{"edges":[443.1017411146794,571.454483381923,525.908441161234],"wall_seconds":2.657999129034579},"Combo":{"edges":[444.1953300340616,572.1726816933833,526.2747600532116],"wall_seconds":3.2001708149909973},"literal_diff_check":"PASS: each oracle copy differs only in attribution, class/cache naming and the specified conditional pi override.","scrambled_inputs":{"QMRef":{"seeds":[10000,10001,10002,64000,64001,64002],"identical_fee_and_state_callbacks":62577},"FlagSell":{"seeds":[10000,10001,10002,64000,64001,64002],"identical_fee_and_state_callbacks":62176},"FlagBuy":{"seeds":[10000,10001,10002,64000,64001,64002],"identical_fee_and_state_callbacks":62206},"FlagAll":{"seeds":[10000,10001,10002,64000,64001,64002],"identical_fee_and_state_callbacks":62182}},"observation_copy_check":"Full replica output identical on 10000,10001,10002,64000","ast_check":"Base reads none of arb,p,s2,j or init args; each oracle copy reads arb exactly once and no p,s2,j or init args.","known_FlagAll_report":{"expected_mean_diff":3.16751,"expected_se":0.022386,"matches_6_decimals":true}},"method":{"source_urls":["https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md","https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/replica2.py","https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/gates.py","https://api.imd.fun/artifacts/d360bea6c8c982717b7b43a8069a87013169c89ee3e4da25622db4d880b936d4","https://api.imd.fun/artifacts/d3c849db2ac31e567b57e52b80b86e8c24c842e5b4125b9d75c78e3cb07115b9","https://raw.githubusercontent.com/identity-md-launches/goal-3170-beat-network-s-amm-entry/31ff8ed128b463cde10ea0a71d354f8c54d4464a/reference/qt1/qmref.py"],"commit":"4812a6382311624e1506aca131ca35c378f930d9","gate_P":"PASS: unmodified checkout; all twelve values match README at six decimals","scoring":"All four policies recomputed locally with replica2.run(seed, fresh_policy), default 10000 steps. No imported per-seed edges. No tuning or selection in either window.","paired_se":"sample standard deviation of per-seed differences / sqrt(n)","wins":"strictly positive per-seed difference","worst5":"five smallest per-seed differences, with seeds","side_mapping":{"sell":"is_buy False: pool sells X","buy":"is_buy True: pool buys X"},"first_trades":"Only dt>=1 on base own runs. Diagnostic observer reads true arb after policy call; never affects decisions. Errors use pi > 0.5. Counts are callback-weighted, not seed-averaged."},"runtime":{"python":"3.12.3","workers":4,"benchmark":{"policy":"FlagSell","start":10000,"stop_exclusive":10016,"ran":16,"workers":4,"wall_seconds":3.334160902071744},"scoring_commands":[{"policy":"FlagSell","start":10000,"stop_exclusive":10016,"ran":16,"workers":4,"wall_seconds":3.334160902071744},{"policy":"FlagSell","start":10000,"stop_exclusive":10512,"ran":496,"workers":4,"wall_seconds":28.920854802709073},{"policy":"FlagSell","start":10512,"stop_exclusive":12048,"ran":1536,"workers":4,"wall_seconds":81.57386326184496},{"policy":"base","start":10000,"stop_exclusive":12048,"ran":2048,"workers":4,"wall_seconds":120.08987354394048},{"policy":"FlagAll","start":10000,"stop_exclusive":12048,"ran":2048,"workers":4,"wall_seconds":105.57416331907734},{"policy":"FlagBuy","start":10000,"stop_exclusive":12048,"ran":2048,"workers":4,"wall_seconds":100.05198647640646},{"policy":"FlagSell","start":64000,"stop_exclusive":65024,"ran":1024,"workers":4,"wall_seconds":52.47952438285574},{"policy":"base","start":64000,"stop_exclusive":65024,"ran":1024,"workers":4,"wall_seconds":59.02186646917835},{"policy":"FlagAll","start":64000,"stop_exclusive":65024,"ran":1024,"workers":4,"wall_seconds":55.026168409734964},{"policy":"FlagBuy","start":64000,"stop_exclusive":65024,"ran":1024,"workers":4,"wall_seconds":54.31533395731822}],"scoring_wall_seconds_sum":660.3877955251373,"max_scoring_command_seconds":120.08987354394048,"elapsed_since_artifact_download_seconds":851.409271478653,"timing_note":"Command timings include worker startup and durable checkpoint writes. Benchmark ran concurrently with checks; timing depends on load. Elapsed timer starts at initial artifact download, shortly after clone."},"interpretation":{"10000..12047":{"sell_fraction_of_all_gain":0.643105505819948,"additional_gain_from_buy_flag_given_sell_flag":1.1304669945671364},"64000..65023":{"sell_fraction_of_all_gain":0.6501706830800398,"additional_gain_from_buy_flag_given_sell_flag":1.0890127529839302}},"limitations":["Oracle only: not a deployable policy. True flags are injected only on the specified first-trade side; no evidence here that the engine exposes them.","Replica only; absolute scores do not map to leaderboard scores. No contract, engine, Gate F, gas check, or submission.","Full windows, no tuning or selection. Statistical SE describes paired replica seeds, not uncertainty in engine equivalence.","Per-seed checkpoints remain in disposable scratch; their canonical ordered-content SHA256 values are supplied for auditing, and the bundle reproduces them except runtime fields."],"code":{"format":"base64(zlib(UTF-8 JSON object: filename -> base64(file 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hwtvll5rV7gCH/eu9e10L7XCkLN+jouzBuL8ajlB65SLuIgH0WMSMV5D/WtPjDP9NYJD9fUFuT18kdbVFPQ7W9+852n5O0Wc71jF46P+jw7n/WoYp0pZ32JV8eHbSEnidVlGmd0vpC3R5wPcSQTtdNV7q/Y1hGx+hBhH5SHYx+4H6K/nYhlLbqH0d/CvvA6+vv9Ja+i+gLGbdvor36qxXyeGy39YPvgXO9of1ey9elqQ7mTeC+383I424rcZWc/X5dtxFnFyGwjV8NrVkWNrTjHwHHthF3jOMaVTV4rwb7uvvNoz4ye10zEnGCXHtCOP3K+CwcnrwfJoj2am26Es6yol+U12Ze8WdSUxHU4NoFtjzHJsSrmtwrVpTquJEW9SfBqOYYXLry819bE+VN+Vridt+DQGSzF2UycifFdpwOZzpzJtvGeGr5e+Dj5z2ubq7+0uaK1+aHNFbXZmUR3HKBz0uc1e8Q9UePFcT9j9mxcP6LtFXwP3oNJG3HmNe4WvrELnux9uqNzOSbOP5/PawZ+vT2iWjX9hKdzJVNBH+kjj+1vH/HB3N4mlXZ5jnlBMKHzGKOOdi3jvxr+o9+X0c5S+juD6j/oG6DQeWeHzsVv1uP32VpOv9QvRW1iLs7EeAP5rcDxWNT+Cm5kUn3Ua+RjMDIxtxdO8skNpq08Xjg/+ct3DnWPwZ+87IkTfdrrg1Pl5yPm5vP8E3PG6Z2D791UxN7cPh/cKz8rksV55Ccnkx/4EX/Hq5/OigSO0vyIs9C5tsDMb/c+zgA/sK/hwI8ynOciP8NlFbG2fzoj9r6NoyJqqIbb7t+s7/jegm/r8OSf9/mv7KJGPsM8PtiP6o8a4dOZfURxqcCjhw0PNnmurX7uUVQ1MvSByg9jTfLaNHEmfqCxPZ9BP51Fz2gtYoqFwg4YnXGeg2wp1odiUUjnT6boe/N5FkDnLMsvc20+4nukboTWAH29/tPYIlE3OxTn0XQunWsK7GfbM/MzhaHeXwzzM3KhbxBjV5cbWlt6z8823207t0laA7qWfiK+XrMCdx5/E/48eAti2s9ctZ/FY8wDW3ncu59JBTvlglhLfv6TrRwxh6X3aBwp8tYS6Rl+bF/oL3zeU8V1Tfy73h363zl23u4pj91MYD/tK8Wq3C/ZMY87ZfmRtzz7lYgdcs5pRbxbJhHhiim0QO+4F4JnFPaK1+QxiuyC+ggnnrAhh+Io6U5W39cd+6T1vc/97TPfS++2IXwOx538vN7CF/58H53Rt6by95oF2z7pXkTcKe472Z+56c3Z8cJHOfJTX9hfd7ihs8qcl+FryIXvrz3llJvjP88FP3GXzvYe+Lz+4dyoQmfBtI/Oj7hKvtRZb+puzrFpPVfxZFPESSZwJX//R5z48TzINl2RQ/Re5/UjFj2uXb1c+9iX6NYWdQExj898/MHrqR6COLL9U20pqNRlgaWa3iCMyrmDmGthty7ySnGGcn2cbb7UcO52UtwL3/P4Ik4KTHvau1Twy/SVu+Be73K8LOzung+qrxhnP+1TOCj4zBBt8st1z+v7if05X3PGvix8MM9FyF5v0aQt2w8/fbR7/JnLpE97/eDXrjdammTHZNtUJxBzWuV6JbLtXMv1mv8gF3rFrs9cWvSD79v/+H+EnpKds1895f9sPSXy2WHy+fvgV0/5q6f81VP+6il/9ZS/espfPeWvnvJXT/mrp/zVU/7qKX/1lL96yl895a+e8ldP+aun/NVT/gfqKdV4svkP0lNSLfGbnpLG+O/TU+5H9V895a+e8ldP+aun/NVT/uopf/WUv3rKXz3lr57yV0/5q6f81VP+m/WUD18XehKhE+uuhCZR+eTX7UtYSQ+IQSv7Jz0b7TW+J2IbjQ3n7f6gwZzSemhQJv4nrlOFtq/8J7sOhw+9Jsaba/pdD4l7+5kvnT41gsL3Ts4q74d8+24jn3pJwd1yG6TaLNlyaypq07hPssD5IWkCDu8Uy3/SRj7sHOfeXf1J43lNn/UUP/D+P9xXJrytxN/zhXT6lF9OJ8s7rycNXOOrJlDYM+kxHxrFNOc24rXm47UnTebxWaP5pCE0A4pj3tdaQ/0Sf+prf8idCu1ioZP8jhdkw6SxjX7EDcSK9/v7newrRuvHnzW8yzXpw4SdPc3ri73f+Xxxbe3l2u7qS86dz+Nzfavbc1AZbb7Wcb7VKnLtJJ1xXYnzFvn7c76Qx6ih0FwWvmrZP9hJce8P9ZCn+sGTPyBOCU3r8/V3HeFTbLqib5/KkYo4+oLRf9JKwut1z+v7iecnwe80Y+tSzVpoOl4w/e6nj3btH+oo+dn3C6/5i3YS4/WgsG29zMZ68KnTWYPgV1/qUt/5F//f/7vQVw7mv19Y+T9cYFkmw0obRQF0iAaZ2GosipGdHc5xFRFg3OjAGteWxrsOMCBFpoLA79ZxbR/FXByTPRCEneY/KsRLo2Wo1tP5ANfTFALMt2ItdjEJM1oYqMdU9MZxG8qJDoBJ4EEFKToYtoXAMk3tQSFQ1IDEhTd3DRUk2LJz4xV3yAkol0GFn4U98ONjjrmTUmGfPjDhyio/CoL4KA5qG9ktPmigbq76RMYApOPPsvOF6PErJj5XZ+efXBUTYSo0DKOKutl2ByPv7wJQ7yiE0IUQ8/okfPsuiHwOaKp8dkWCyIXQMj/os87uECrumsSckeyuHSpipk4hhvGJ1LYEcD8cOxdqiqDx8dl+e4fXUTC5dtbe1dWsq3PzK87aqTo3qLtDIcK+i0H/TBj54UtBU4gankAlF/eQaJFELWFeDMR5bxKRIDwI2R9IL4ksBo+iI30w5JiTUEqORIHkUBQun8WXb6JwXYgcRRFM/H4PlIIgvlFgRNA9OUPrWeT6ls9PXHPKi3TN+4ccDjORQIhgnN3JXWTqZMcF8cv7EUVFJLsBiURb+TjxOkHa8DUiuvfDkFdxp8ATd5OLJNMnwUTwuYcqJfAHXrS3yn8vhJtUdGkJ0UL2LJKNTCNDInF4PfBjl1yUwOLnpJvEd9Nd+avoRiRSdz/qoD1gm+tZWdkhhp9sNWq2RVF4KhKNO37lorLNQ/xIRcxHGzskEybGh8lx+3o/rdljPypfhWqi7W3y5tKhzJBEpnF/OHKubRJaFSK2h5iBDtaIVJp1xFghuCPRmhCsiQ877IWfC+Gct2lbA72ttjMa70PcJ0SaQsypFSTC+EksaAmxILYniGNevCvaRQwVRf6M3Q9OXu81c6Eh3iPuLQ4yXu4t1kCICH8QwCy+HLbTXL8ciL2IY57nTPN93uePKCfsx6jqHYQQMxttBmrE2yR03lPRDmQ7T1Q/guwv1+6cl2ujv16bPK59KYY9hLVCGEr7ygVRzQn3x8uHZnKB4LNo4EVY2hFzw32vuI+D/PyQMz8YFMLC24vNy0+CzR/3zCZBpRC/MHl8M+5iy4wEIA+i9WlLudBYCIOvjwPE+1g+Y0D/GOAaDbeREu4jEkqmvUlEQmurN74no5wwZtgbne6iy9td3BDlRZQhHWjTQdTTNZX7NYXQCO3xSsV201uXBSnO16As7OwJ/1e4D5gYL3NBI9rQ/FOATSIG9GP0+epoNRs73FuVb8QBkTPdxZk83hlJTJyAPjhB8Ux3L3O1vJmS4KwiDpq3eD9i1PYSrqjQ3BZczRJrTx/OcPF+HIv6KQaLRbw4ncNq//Zy2FYIFd0iaSwEiRjn4EW4iD5QI3ynv++F3aci5b8ghLyLVkSswLZqQgxIB+Svvvf40Jf4IFR4PzwffD88j8WHs+BaFDFkIep7HaMQUH4Rk30VaDaEaBDtLs4F59dH0TXHi80LXmgYvzTvFS/09vnvfVAsfv0w2D9fr/yeHw4rRLH6PsepIQ6nxNzvH6R4vKfeC/Xy85r8LI4c/CiOrD0EnHnBScRSj0SYPxZr8gI2fXDE29WFOJdimP2j6JPnos1VIdr8QQAqbBHH8zX2exjPwq38Ga9fhSjPvmaOq/14XLluMa8g4QmJNvBvF/mz/LCxXCSVC53RlkjYnH+wqYp+RWKICgmJclFJsGe3J7EQiZaE+G7ygpH9o0h6/yBax781O7fnbbgfnRCzkcfl4qlcsB3HX0X/QoBInJjWSwgApyoJg2g9CzH0Mcd8uPOvh1CPcK39OOAthJBV678jhMwKIeRDuPQ3MWTwsxiyQvvtrr0X4TrFFyHurAjRW168vt8HL6LQ24+i0IqIDXdhx/Ev41LzIuvpjs8dEd8Gm38qZCMMyef0eS9xg9ldhG8evggNSRD7KtLz9l9EmlWKs+ld9JT8IHp6zOlVuMTMF07zdCDwd6Hm5nuhTc9td1x1y+FgqUZlIc66ibXT3dAWH26mD5wQz7byD6wjT0E7eYgaoy+ixhmJGnGfu5/C+/VXceNDqIXc+2Xd9tbxB1wxnoWgfUMIF9f5GNvrceVI/hz/sa/B3/fovyX2XH0KGHE8zx/ULUSq+QFplB+iGiS2pPH9sY/BvyYAnb3GvocP4hhffJoE308czPzOlZQyfXDyITYz8g9ofvI4RLaNfvEQl+aYr8TmtW6JOo9xisoKYq17mZr+OTaVRTTGuID4GJvIU6hGMSacb19i5JJTUZdAX19RjuQeMS9Lomzz+YGPfyJS+4J9ubjrNSd7FFWFANN4KXB2hbjoUySN1woBRGjnue9D7CUKjuI6vv/DWmNbr358FwwWorvHOESsap2UbzEeefYUsaKfc8i32QQO4yxKgwy5qhpdo+Jn8XdW/J0FWS7swH3bBWPM5bKl97MP67kPC0Fivu93saSwPTpoLp+OxG/dP+GVEEhOhcB6NhJ482fB6V/EjP3V5if/LYQcRkhiGZFv6vqfDl/VJyEm4hLaUzl5667k6wNvdkpV+IpuiPHmAsxy/BccZUKkzg92ID5I4zzX8v5zRJb5eB6Cyu4qFz76ldHTl1mOwjyfV1KqtYm1vPtwtryQ39svfaS8XW2vMGc9U20Rc9jjT0XzUS7ie9Q0f4WWv0LLX6Hlr9DyV2j5K7T8FVr+Ci1/hZa/QstfoeWv0PJXaPl/VWiZi+mIY+d93M+pViF9INckf9z8JG779FXxBZhC4/DjGQDlJa74kgq6Ls2Ffj/4b96unN3Fm7iG9EWU38SR4eRT/PbtiyCHJNTKvwTTFkLNF/Hk9y/FRFuLRR/LU/zlSy9/2Gfs875+4gsc/yT4xHGnlNv89EWY+Vr/QSha2O0P++8/+SJ9+dfyIYj7lisKsdmSxJl3wWJScBZ67fJ47UmgaT8LNp8EhQXef+WFeY3hLjj9jm+FkFEuRJNf/F5oL/Iv0/xRCJl/+WX+/k94+7Og91B8eWbzdV4/fVHm49rSy7Wf+3L/QlAxjx9z5vzLX/8ag0QOQ3UEk/P8CyvpPOXpiy7FuYp+H9NLXvmwk/ze9AcOIIuzRSGsfBaDCsy+vdYLc67xVGNBTFY+4gm84lPL+aNw0v4phor1/cMXXyJO5186+fllbXc//Wz3hw/n7sSXbr7UNf4ipKTYk/z1iy6/5HtPdYT8yz29Awktu2Ey/7jMYzZL5r9iy/+pYkvfLw+QaDcs6nM32v2KLH9Flr8iy1+R5a/I8ldk+Suy/BVZ/oosf0WWvyLLX5Hlr8jyV2T5K7L8FVn+iix/RZa/Isv/LJFlUcP7jxBYFmN5Fldifk41x3+DsLKoYf6KKn9Flb+iyl9R5a+o8ldU+Suq/BVV/ooqf0WVv6LKX1Hlr6jy/ztRJc7xX3uK9z125k/aWkQtoSdaxyad/dD+FL7Jf7+h8vcbKn+/ofL3Gyr/f/cNlX0dNEf/r9P19I//9Y9/s14yUXdLOW6xW3fVvEwrW3nWGq06dDYwUF70j52KcQoHZexHvsSEwYOm3NX0LBgGN9LYOUO94qz7W2fop+7OWAdD/eaM3aVzG62dW1Sbrjc3x/TqHZwf7hn6rnvoVLGf1nQ7hWMPx7em+gfOfTmt1C+I9TT2XJe4Yt0QY+J0gjGyus2fXP14OjbywopyxjEtgyo9FXd0xnmQPjKLxzUuaqbV0Qr36ZbrBWq2t6enTdHTr0nvg3aiHfh8h+u5Kq/DShnXi3Se6GvGyO+v5JqlH4dDuUb7n0akvcyE/nMb4pqS/pJq/XSuNR2Kc0NRxwn2W5n0qOqmv8XxkXZBPD37/j5yajkU8xNzpidzymG1Xbda4klYGdrhGtdEDir8gvMfxrR3ppHh/mEcaGcYA+qFprVBmIj/tnErxvlgzrobbcXTtPKa8A37z7C/fYcfB7QmUQv3Ge91MFcfDBjVWNezjHSXxdPQaC5joclIinGcaM2nKuaXe1ZG/BUYG1bapLepIDehJ4qijSrURt5eFee+Rb63us9b2YlzkgnijYn7Tk/32vVJL7ulsw16kiHOBWOh0GbiGEa415SvbPezlif8LM6fGoZ7mJ9Ph2O0Izr7HgvtJvYrnsT4pu5ZPTaXl3Dt8I6/QYxw8ZrRWdSPnj5ML2qXGqT4M3M0r0bnpV/W5haQP45rpNPN1yWvV6YO8eA1yF0V5H+hP0aal/wp4oA/rdTVOHfhmM6R1+HaYawqt/O1Hm3DldiLx9OV/rvjfPrSAjpvFn26az911t4/65POd7d0/p33F5QdzZL/pf5kIwlVqLj52lTcIWTuv7Y29LSqfz5OXIsp9Vkx5OkAx+odDWFXaD/ivO1+FmcSDhoy+jHhR2GL7EL+hn5kzOkJw7kPo42PNvS03Ah9MKqcjnS2OVVrvL8njOKfuuXCJhET8P30U9s8oPx4uozHVznKavaInv6JNk7rifZ+16ELrLj3g/fJpHcIVbYOq8hRET/CCsbmcTmjcxBaz5hwmN4XT9srziYGjPCc2sE50XnUaEO5b9zqo2+3yzkfZsspnc+oqZ3r3hTCQcS0+mYmfLRO/SKXzfXl0W5LuIQ+TVpJug9/xz4Ig3Et6Sl+K5zfhcZ9550FFl/oSaeILWlRh6W67p70XHjvbkpt43oMC3yYjvsq2ZXYc9PYTFs05zq1v8h1Rwphrngi82ysnO+4FdN5zoRec0mz9bA5T/ghrd8Icd8R576I7TSXx3jEEwQn9KTj+g1xL+eSg7LINwg3SMv5mUsQVlJ+z1akZ6E8leIHxuvlbJzS08JFzt+ZtLc4piOu4WmK8TYSsTUfN9kg1cWC8ZaezE4YSfndNm+X1kLMdxNrNcURH4q5JognhJMUv8rIyQrO4h4Iqwvd++UeF8l+87Ws52ukLvEn2gPp+SeA8WuUkQ4Zx7Sdm3f92wbjT0zaGu7TOR/aGuWcZBdF+5iPly+0Z7MxPX2RtHN1soPcbyr0ZMiUziYu+ZNhMf7gz+mevviknHOIgYjLGAsRv3eusGe0k23B01d0Hh7i+uIeFOd6KfcqCsYTzP2NfjWUMRbg+HN7FU9pPAc70txgX4PP+/E9xBH/ROeynbH4/e4nFVyX43S3pXHf0BayoELnKMYN50B774tYQVqmCnGi9PmzCcLfSHM4Mo062nDWxv3APh8+RrGKzvwtnXCrfyR7w3mj/9BnDtDeyF9J8z2Zog/h7xO0W/HZDjpDpjOGmo0cb8b5x5zPTv8XPxmD0ZiYyClqjRBBmVBhipWotnPrRUuKc3RcoxUJpfaX6JBOJ9YpR8FXZCVvF6qw3faEqEnq1dsc2eVsj7u7uubVC3O5jCpLRFQreekrPRZ9iVNXeh+tvSzGZRniNNn212WP2rANZSFWdaQs7EEdPTRnkDZaOrEI8g51U6ZPywx7o2SfR+wowRk+on47S/efz058vEcRej/xHgr4I3m2/Xim+rWIFlT1ZOfeWFTtK+jFZVxbqticeohUxIQEc0X2I1Dm6Rr1+ZMOhDrqEtupJeK6rYIoMt31xjJlocrrXtTxZ38bP7XVqbxkN2d7cK3iet1izVfGlVwRLPZJK986Zh+9I1AQDQpVg5cUqqVbsfcH8XzR73M9jm+H8mQkJ+hpmOGXhcpnrj2UTbVcbXC/b3MsFMDI4GPcC4E8B1F1JeWNVm60K66IPLje2/bt2FgM0v19re9/B+O+iFbxbivj/rzNq3KCuHeM9q58rw5H2f11jIxj9wNtDqNYf3H/5JNoayLbd1VEmF0PhbIltAs21SnYFGZxh4J9JAX7OObPlmcf08lGma7iBiKD0lnVGzNzc3Im8r57Zw+38l3pfVdcXDriRJZYOe2hruTKCVJK9sOX+ZfL4awyqk+G5caCPgWAUWycxS9+Nam6B0Spsrsi1eZpOx/J9/ZyFcpYySP4irlDuW/4hZKJVCI4tjD3P8qcDdxPfvBXzX1uW/4ebYiQ7WK3XDla0Qlisu/sjjdkXHscf66eMBSMOksZ/euu1Lrle06sq3/LFQefn7YYV9thuyoY2f7r84vDanybDGVF2GVRJcCMRg5GpxMpTHEdxDWiwkL2YqD/VhRCd7Qnfz8ZnXA/SNVD4x7FvXFu5+G6LNQ3Ys7ZJkF8yKKqp1B1WbALrYx7L187ZryMWo7iqNcNojQxO2I5t94Q8qqOqLgo6JNiDc7T1gix0inavQpfmdAeTBxFVGAG6CcTYnUGZW633oDvOyriye0g1g+xSDz32C5O9P61/S2HYk9xn/MIRllpHX/qmTsMxEducWzHzm6JUR79ujK6xSoX48f92CM2KPN8X9/EXmAEE2v3014Mnm3oKl7L1a7Cbkndsw0nzsGeCHtLe5Nc3ZVjiJ4Eq8Kf1Pjp69Bw/uJZ5f6e/KrAVmL4uDaxyC7auEf3e7wCjwucPnZUvv/MJr7i9rZQyrN0XNE/2pm8tyvtuId7MKNPKarLcK6W63ds6rQ2n89ONmkdRrdxxYg7j9/bpCBMCnsUa1jsUYosLhM2XNhcb5LsC5zGmB3n+FOR377gtGCFduvxvORTp1D5FnvzvKaEXch8yH62N2KpiFmpeA60qEClyrjKT/eMfK6SEpH87niM1GU+hnKyf8r0cI+vj9fz9RQKSdo7+tj2v96eiIvx5zplxb7RM+1pfCbujdH8b7RHe/m39ka1AF8nvIqy06oz1u/PiEcbuy6f2r2Jr8AzaXxX5C/XRTG/Alsxs0A+NZtMkaVtPveuwAl61vqkouzw3xn5A/IoxJxKjAy/fvtD7Bb92YPTSybS2ZWR3dUOVDW2i3GI7GOk7OnTqX9oKx8vYkY8Li/yagZmVNj+k/0Sc0dG7zxsskPZ3E4o7ajCorTLjLIuEXtev4YQPp6z6c69ekBVDlUuKhc1Ps6zhHv2QtkiZs3bCr63t3PbO04JE599XbzmCzvGvbvdORTNH/fwrcBOUr7KuIeN2e0oeEK0TfY5FvcXVJ2jdinm5WtVplP1FxV0HguebPeuSM25Sh47sQ/qW2RoI3ECQLiCsad9icQz0OOdyPQ+37v/fc/m9pNJrmTMs64+2aPI1MQp0hbtQmQeMdpNMSe04+f+JgOlyDzdzzGR8s/8vB5jFuJpe0Gx4WtbxXu4FvLlaQx5m2qhsPn8FNhTX5SxKxl9OqI3LD+9nmen+Qk1rlvlqS9xKj5a3DPTdqGaF3swcYu9kJX7OJ4wcIc2SZm5jHPAa50nLMxt5JnP0j3I/XcW8nNRFUV+3hvK+0kZMz209Um5uSfsput64+dKDkfuDIKXoO1i7jLaB6LKV3+P0E9JxVlUdhb4r4ZcV7ze2fXLiJ03m3iCSpVKxNW9p9zVPIip55+vRY6aV93D7SH8r3C1x2zM98tDx3MMzzM5gG8BeJbGwDdX1jXoKSWpfpOSnqRLzYZU6UkrqbSQGj3pIkkdSelJZUkKJUWSapK0l0oXqSFJN0laSCUJ/wMABoBNpqBj28A4tAA4qB7YAAloAF1gOhgAU2A1ejEDLaUrN2BZcAAwTTjocl9vtVb66qR27TZEW38wnrb7sJNWgWov4DjN3i/2ZfMer05Ox22eSkP90uMJmKlaA53j/zopLHmXOf6gomqypTQ3cTaptyfRrpFNebuZ7l11xW2mH1eDTcs+bN6tQeJgRL50b9UUtpGu8tGNxWA4MHPZJTDfvchT+5bDVCeYDiynHTuITkG7/ZbsR4N11baQqQw+ZPuYnKrDWGIO6H0YN5jvmxcxXb1lQk0/XduO1fbXJ7W/R5/Zxll4am9r+2wVVWzbOujZrm17m/fd4OjYlSQ5qUq7FyZqyxtyZjrGzfNv7CibFizWTPbbGnA9WdZq7V5t21MXug3We6aeuk7Q1Ofp2GB7vdVb4lZrm6B/XZqm6QScLQcmblawXLVxL+B92a8ZTuJP+15k9BwfQN0YBu4VwELb867hNdraNuppvAbQjrp9HuFOHVoOn/dY1mzt0tmVpQA9b/6Ge4/72JtAQ9Y0NDK2CbALzWWBrqJ5XODdV8PUOrF5oja4Q+PS0AQBDE8te/oOylwdQ6+FtgO7dOKAB3DyWjfoe+rRc0fwhh2ANoXQQlvT3mHqsy10HFhw9Z3aM2Rtm6L5tTi7glkGj2vY35XGpafuitqLuX7Dn2rKzRXsHWxHbcICrQ/vhhW1p50gsNg2xXF1ZTaj9tiitODmh1SyoJ5qOl1cAsYkbK/t6Sey55uk3MCidlQdugdGA5WUUPogD0F/segm1oTkIuMvNVC5JktXDxqXpgPiP+bS/1OpaUEPXW7R1KDXQL/SFKnZoZ8NCcciXZqqeJ3T1TgUDz7/6wk/FP9JUhP+Pf9pkpT++V2X7M8JJtFy9W7I3vQDgd7A68fLFSP7W/XHqS4n4zEzznoWjHAdbEP30f60habKPSdNO/pK91QP7Q+8Xh/Q/rpOqwzTSG0fjCEPbLK/E8yE/c29XgKVjZZx78TWB+xCfWNBhPan7mDPVQ2cLVNB0z1cOLumabTPbsK6uJOwT7UNdLu0eb20N6O1ldKWBeNUVcC+wQpzZ4A3aJLdYK9ztDOuK/CWqPvUoe3QTpzsJVEjT3dgt1FbKdot7VXa3lF7U67NYZCwI7Q/YOZje+wGUkD7f4S3qtT22kewD+qa9tXmzKJ73cVbC+yxtPLUrgdVas+A1oLWXUnlruRw9XipzWAU4v4zGTSO89U6jS7X9UtDAzPEdslsD5BdcB1bljmTZAfGH1LkgUvtyD1lRvt1XZSbYIdSP9W6UllsrA/dC7W7APdDaqXaQbpaaO9oX71hbofdvaR6WkVKD1BaNHvCmgu7UFPtTUojet2AnrDjEtkx/syklIOyQPvvLSRb2HGU2y0LoCk1B9D9kAzOetRO/dKkbYHmotmGHgYpT0ukCtkEDAtTw/arEvaL/flw7dH4PiRf2F8zMK88NqPNpN9f1wn/Fv3VKbe/LjMWzQHvRyvjIyD8Gxljwj8t1WrcTZfaTpW4Uyb866TuhPDP2pgSj1K24u1OulNxsaHB18L+ht7wAMpGr3jDDjQFeFxZVyb728Na11Svp8GB62vCq25NG5D9tVN14rUvsKxpb551ojVtpc6Afh64YcGZswN0qnC0NLG0zYRwq4pvsrFnbSEJVIdjO1agZoQJGFw7vG0D2n3M0e6wnYbXPpD9DdNugJFZnXnGHHbkF1qCGEx4akvDQFUujTlcDjAiXHYDltE6dn09vjR2MBxKezAE/kkUb2nHpNkB9o3mMjUvUqaTX0Tg7hs4PtlwFpWKNw4lHY17gZfrB4RqnYZeH4EbSYHD7IXUoXayi7KhffY9tyGtgVmSsgKH7BnmZA/Y7lySET97zRp0J1J2wXE5E0min1oEtUVzDt1QwtiRgzkHYS9vi2YXepqkccTRtw+yv0HBVzZkX2aqbSWkMj2yPzXN8dSdSCbXZlLmkx22qZ0tQjKNr+VpZ+m6gTrZbXdB7RRAq9XI7kq9HL8NAX49iYgQdJsT/cod0/ACn/GM7G/QXzp0DWfem+H4fm/Znxq2hfbHMoPVyP7G2gi6VV7JtA+5OxLxV+4OU7I/p9VNFwNWlVvTdL4h/FtANKAJo6m+M5XraIchawW02APmCDzIkIapFjozZLJ29ND+LJwk2Y1mqVNS9ya+qnNHITtmnnMmu4l4pwSBp655Z4UrS+0MYCXs2YYhV9/ArCBnIgU42h3GdWF/qbrnhg3cUT+gLex57nVGOZ7CDZYe2fMUxtQOM2FD9oevX3z44K019HQ2JjuxdXam/WgPJctrpdLNY+uUiT1SPBBx841rfalh4f6UkF9SlGXrfOfZSNrK4EjKCDpDhE56Tcb4i9tlW0goFQ26HQnx6Uj7WqN9Izy4NM+It2iyiFNKNee1PbIb7BXxjraT9rfl5dAo8ApxBzjiHdoR4s+S2isV8VfqUby+5bh05TlOFQYj4rVHeOhBhcbVWxfxW6d2xSyQB0zop/oZ11l+H41rSPZcLeLv/XV4/MR22JITrw6sJU9MNQ2063Jl6rUg7q+GplubqH3+YbLEd/teaJi632H9zHA2/om5hi47g+3S3Rphc5SwfqgNLTf05KY21d0+VGMNV9AAaa9d/R7wrKFyy23CRGJx02gD+uIwMHk6qzKvaez5oMQ6nrniu4BUr33PZrBDUEztFmw2aoXbAdxSPeODM1MPepx6ZUB82KRmAyKf1bk+heygYf7iQ5pqPYrzdUtrekyDvsyOnhmQPWrc+oD9Rr2m+BPtvOe5KtQ9VuuVTPActgTzHfqW6vH2GPaBuvXQ7tdNzQDE2wFABbQ6aDL74OYYYospoGewq6mb1K7AB6YBgHGuhniD8Q6pIyYvJlKSiNU8PSX1k+l1fThZaGeNIeYjGIqRlg8iNgZjAyFnF8/A+UZq4ul16bRGHCstQTswnoIJixQ8z1jCzGEtbpVhvbEHUvKOJFFpgykDwkONayYaA6sDUpLogKlO8MYqvmr0Kgm4HHkQUQofuKftoG3Bu4doY8lmnw8V6TiRFuhCoDfB8RBUWzKEKaKHVWP1hXRkS9koS7UO6AhhHlJcPYErop5UtmAG2pr+bqZ+C/cBqpIUSFmKcVl6l65NHKJkSlfiI0yV0lrrwnuZJFUlE7SJlKboB3myaHgYZ24ONNFGmYs+nqL94n/MI//ZSywlHmGBcml6YCwwFExkXFfiDxbxBMZznoH4OwVnLU245kqnFHGr1RR84kL8YC1pGL8xHkFZapaQakmxVMZ1C5uiPxxPk67rNiQ91RzphvnnQkmhk2i4j11YNGg8dWqvRPjfCyXT0/ZShriPpL6krJvCH4mHp1qTxpvz9ZDGf5KuOvI8dUbxoXRdTA0lmFxYPDZNf1JfzkvmUJ/1rruK8eZPOv01M7Kaf+h3Y6Mb+RlzBsYhQmLYHOoda9Do90MjTIYffV/TItkd8ytmVLLbgxNaQjSyls5F9x3nDS43zIzsK58c2HxjKN7syAZeq5HOpjAP1B53NLaptWQeymrbUU0EV1gl6jtYCVyIX/Q7zPX0gPdLrJ3oO2/QlMoek1OzCrHPJl5HJj/IeGeDPFqz064C1Y1WTztzzIvYKjUlCHU2SNGPk5r6lnZqwAPi0y0ELcmnuOxHbJ62XJj7zEDqhPmXeiG/WupazG1DSmWKDxcYyKzntTrErxm3qsRTFhR/zr52wfgkSTJ8pGjqvoehzbxBuGElr6XAGOfjdRbQWp+dtN2RMpmFHO1W46zvmWeY+Kyf2gnMLcz/xkdVvjVK3Myk6gaqHOMa+tWQm0eYoJN4NqYU3EgX8Ry2a+KnG8xTkYppPiD09LlZJ3zq8wEHeSLNoX+Tkr3kp1pZaiQQeujPgwNzOZKecdNY88MM5pc3zeusJamGdtQ8gdVEf9fQrjcYco01jGqWemkOmDVRxmB6aOesRvWWhgcxaMjafIa2dsUgDplULoG/l2KuGlKVxqfuiZfXOfH2SHfTHcbLgNkXZQuOJumcJWDtpTmGbCkjimjWwNNdnauxdEtpPAOKc+gvDbD30tRTK1T8mXtW18D49dZrutC9SSpXa1LFgmzR6ILTKPW5UZWWgVZNMcHAuKh6FN8OgPxJl6oco0CzBdOhdObqunRMGfrdBjoS5iM47oqM0aL2BodJo+8N48bcn0SXty1Rs5rUTMG9SSPOzlLVQv6YHZnTq86Zsa1GnN0uUpP8+O2C+QbyLBuJloSQ0VnUj+B/1Cc8xDgcIDovP0zQg+2SV83eJkiXS25co8luuTDMzobiYNOEmo8xrG60nWHcH5T0Yzq8LaM3Q5JHEnZqWNFodB32MO45kldeaknTXaUlplV8y0s/xurZ6y7StzfNtbo1b7RkR25sU4yDQ27Iab+rIkmfAL8xrpstWIWMN1Wfd+aUHyKp0OEt0DGVmJOC30/7HkO+vUsHXcwPwYJOgP6gdnlHhzBQzyk2dfW0I/QYNHwNQRXzyJTt0haDRcKqnr6CjaOu0o6CcVUbp24DEAffPbaFQGdzbg4J9BHnNNhydeN1zrAJtCF3atL1wNqEf4MaxkmMQxh3FU9fUDw9ox2Aoqtur2FjnoHUsdVCSsQwj/AglLFfowSbVO2mboS4oFelpo+8EWRPu0AXU4zUCGHusGbausD2oA697rvS5Gp/IW2hdQDE8R24B4xLhgp9X93xVpUx3Zzz8UVyHHyfDQiqZimG6m4N8xhjAUNH3eN8WakGlcV7AKMF4jT0iMfjUJCdpNBPW2cKIU6K8aiTWM3FZSpJnZJHdRVcl7WHlFWzWAXgnU381sSzViU10G+XSgTtvVIR/A3zZIq7usymqT5nu2op8voTCbdqcFGuVMNScJQShuAu4X5/w/bpqg/2RJmmxrtUPmDoKtWltw1wjPdSHXFOUgyIkPf0Sm2wG5SHYLyycF6wlBo6VKRSKtU5NHm7jHwH/b25p/xZ87RIKvUkjMehVP0oqbwjlxIZaVi1TvWk0kXC+HOAj0tzCcOLcvHaWamSWvyCYTZuYmqgraSrT/WnkiSnoPQaIZw0xYFw2Ww47A28s4R+jPy3TPEYKD6+HTBrqNVhFmLQHS+AfzR2no7rss/5MBU+OOJFzYP9QvFhsFD2qToHuyN1r4uTsd5MKmzhGgpM0mvMTLUZdBj3kXcGk/5yYOqbobl0J3rq+4wNXMPe+NN+b6FL/nB47ceGcfB5f8C0lu4EPC1pHrgf/NrW7BrucDXRxoEb8qqiheCu04nMRhyT1CkmDw7ynvmK+QH+nO3YCcwPLzywI6iB10a3b1Kxbkd5zdFz18gTtdjrdpE36kbaRxxJsCmrD5eUjdJOm+pHiYd+iIytxXstaKTa1MNZYdxr8NYAk1tmp5gublOMV/YFkkj94F0b0BVKXJvQdUnaCgBTtlKqv2Peg/5nK/DuaEuvewPmYFw0FzAJ2IK3DPK/Sqq7ZMx7sB2oO9qUs3dEWIyPxgRGOC4w1zDTWdnT+3Cw1I+0uwLkLR1KzVgNk6tWE3SH9VKjDEgNKp4+gktNK4ND2R3cPG0F3QgkwJ+Msx4YI8KHQ6pvEYe0cU/BmNxkvqfNMe9Eiq5hPo24muZ81oT+gZlDaUd2iVu/4mqHutwAXtfFJM0zL7CwtAXvNzHfUioE7haHoYe3mgnxpDN0ZcQHHH9a04OeEsKoJXkp5nV1nepDCzAOEHCkKoaF69bZgozjWLzJlP93OAuIb60upRLFtR26CugIbrznkT/uFs0h+U2HQqi7l0ae2kRegEvESsB1DfnaXLoG6DcYBrqhhHngmepfMuVvrT3Ske4cLh/kd2eKJwoFGfQPZNkm1cXeQRtKh4jWX+R5mOsiD5zg9awhNSLY9moSzBYNO7USaR2WpEtTp3xREnWCFvIGdG3c+RFyThqEDojbIOq8mP859JIDNuavHFaID6yDwR12vdJS1CMoTyx+9igO7jFPVj+kqgeLBfILaEJ7ySsmqwU2o/xvE3hXEj3UgvflemmUU3zdOejXw7B9deq67A1rzB7rSTLYM3urS9ZAgSTUurWOBJdMLVkYtG6R1k4dJy2/qXXHidIBY0aiz/mgxWxL76bDK1y5voFexpiHRo528r5hNY44HFmMc3sKaaBL3L/BPtUHoOtw8mHnGQnmb3qJex+wiNg11Q5QQv4GRh+6AWuCNoLgQ2qn6B/7gzpP0W/DVC1RUb7UUmagX9EvkG9ie1GAONYyId6wcdrCzQzQf6AMUSgdU8zrhhsWpXobcN/qiCVIhZjgkxi6VM/YgYk4mepvZKSYB52oropxcQ7THvIR3Pcp7gvH/VZT5lH91takkCNP7tykToq8p3GAjKvIxhGHJakLMJQ2PcmSMG9qXBBCuz2iRm3inZi/X8muMK83qa6pir/xvgVCsiPqS3pe18d4lQo7bRPuupRHXTmIooOwA6qvTpCfaRfi0VtJiYg/PUoHHuUpEdWnHMpTkOw2ye6fzg1YUccQ+UyD6riURy3XPePWDPQrb5lqNDXogF9xAnc5y6ieqjCrrCv+oNXHyO3o3TFXTtpR789YFGkNeYiOPVXriVPj50DNrF7/qp60a9RtpuOd3k87vjdEMIu0JQww6fW0mdepwzbRFPo0XnDQWdo2oJ+otxRJwsxXe6kXMuOgt3jHYOdEW2HWxgzEK5HMcgwwWgZHHXlIfwqdJhUpVTgjhfL0COZNdelhXjJKVNzGDVR0laW6DwsqPeBWThwYeQbVU1mLzrEgUhscqeg8wGQZ8RFJdJfryOMTzEvsd3o/vpR66MHIv1kXKDR4aob2i9SjjSCXsHqveYG4o1QJn2oOyAArhEDWSpmF7QDivSHNIr1xweCp16huHcHYgQ9udqQSuTrG8UGnNOOYVzaQx6NTS1ecKpXkNxrm0+qJ+DijevjNh8uiKZMX7KXmh7RLME/GVAJTIcyLLXBakk/1qbeW5GJ8kaSJZKRqQpBiUfuIt6VFo03nWPNF/UD5rdJrrilPPl8wL8BW16CPpKUDCVeF6aG9vFGeT2c6dA62k5Qp6JgvXJoZ2aO/XNVMSgTZcm62nEn7upoY2mHMl2fNOG+COXNCvbwZNlnXxqRzkvZnJzOIghG/JmarNmjAqaEtHHsDp4VmbtpXJE1UsUj7vTOSLPfCBxHUZWPjIQ45YBh88cY2uln3rIgpXL+mhg11xBfoXOGkY1A03uBDV2+eFwAmayUwA2CBGqf4+uiAm2eNqC6lcGMIFRmZpNnEdJPZmOdAlAInv186agQO5om+euGmJCUH9sbRhE2LYZJ4xrxK9Si+Sw6LL80za7eoNIL4kkAlRdMbpmyByRjx4R3XtkizpHmKKSBCnuyRaQL7oHPzDebfPWUuyRYdWSHiryUD+RvZGfI+9FtM4RbNUCpdlNtCWUpZQ/Iwj5WqKSwARrDh4HG2oDy+2sP90yK0L+SpGB+mmCciaUM/Rx6K8Q4ppS/i20JagC0pjuck0jjCPA55XYVwkdl0ztPx1J4UWWgsC4UF1VJDal7BuUiVRXNCdZ0WMB23tAxevae8AxN1nVJVGpISAEPBbdGoSprcWvWmHjs1SohrN+maQrlXMjBfhUtPqcJw2NQ9ryT5GPevETfq6aSynKdGinbRX+1MOwoGyzg0u8Ek7rcN/ZAOSn2MV9XD4IOZsT6s9W/oiPo6GPbgslGPfmfLzxd1YzkfXkXXYt2VYGNoYdCZeoMO6+maDmMMNp5upv0V61j6iE+mDGRj4nXeYBkhT+yYMApUzeu9wxnztrQdQuOgVnirDwuHVVO9A4lHdUrMuzjZUQz7pvrhmTHMIvbuGRfwIrUKrR14slpOTQbLQO1wswkjHXkcxptRgPkF5uVIXZu8g8Doq7bXqlJdT/cMBnMLfNBDmESIH8jjdglrUJ2h47AD1zBVlOGCWw5zH0273cLkEXkbi2HakjDPaYHpwxZ5CTg6UkrMB2NRMh0QzkDKZoQbzYUioR0j89ATiofyRTmCEVKdzM3rckSNMHshu62Jo8Y3SY6IF72D25L6iKNSLQC597YDeyG9LRQL7JaE11XRDmFKfKavSZy3ImmN8yL8qWyguih1QJ9IJVw6aZpgMl9ZwvSGXZF9tRD31I5U1cGXFMwiwlLFa42k9YbimkzxDuPiBNk/xl+G8b4GUQ9xrzuU2JUSt2ag9fnSZM3Avq6rRsaD3pKXTDOabvtxaqqB7y69mWFEvsO8qqFufKPvrw3bH16vvbneP4waS/dMecbcKy+0IHH3XmWoBalz4GWmnTA3Zpqv9fWuzYOELSOzD0GFrZqYjoZ7tuVmlo7WzHcQPGZlFiSkQNnBMVJPXgfB1FI7qd2DlY474IxYv2l46ahCOoQz4g/VoU/cxDzzoCVpbwrNmjZJXZU+uYZ5QkR8ZekhL5rWEIHbFdhi/s87fcQpjXtdFbKADVKEEE9mfd46wixhVtpGHPQRB+0TnDzKL26UDzRTbQu9JoReawiYL2L+v4ZtoE49pIBHB/GQTURcSrUa6BYbe1T/bjKWWu+wPqi6145hF9K+HaF9gHVRTx+lRglmAeYfrTZ4TU3jHQw6LaXttXzk7egf2h6YhfmHSfwK8bGzh06Nab26BoewtEwx62t5lH8IiDGJ3/UjzKe8lTp0WLKoYPbXhA/AkK9u4OhRnY4jJTAVXB/T9Oy1dIwIwptUx3Nxw6Blkf2vAIMx4lSZ7QPtCMjzSx/SgsOcQkMZTZjsLvbQm3wMFRDaLEL7l95c6IRU3/akawJvJIO6kQLKWEmSb3bSzpX8QqY6NvI1VdSdHcqULelGeY1SY8OIYX7NpatDeY5JeQryt/eirhXRUjs8LMFCorp3U5zzCB7n0/sBOHtpAlos7TeqL86D9nkdPb+uRDwS8Tmic87KpYaDXpSkRdMWdXTI2xH6E1eSLHR+6eRrNugazSI/x7xRexWqK1QvzQ/cEgmTu6i0/yi1RT+i7s1EHdyjc/eAzue75PcfxIeQzyr9RdtIg+DEogPl++E1sg0lCRT0cDMIxg7bJ0YGfo316jpi2on1qnozHQ2vwVpfNgfWUl8bWTroM2+tTZsu5h0dDazuJZVNVeLtGHNxfRAMdhwzMSV17TR8p3OnPQ+Qo9XMvTdXVcvRx3y4wc22btCtsJmuxp4dUT5/Rh4JHzXmcmMJb5G24+MtVB1zwCcKqAnaK9W/PXYEcwqbpq549oLOoRLeW6CfaRuO9u8AO3jmEbxAnfAO8klZraTWCZq66np9A9485lO9B/OOuYdMqe+oM4of+0B9T+0GHJvqKbVqUqNGEqcPQLsYUZ4T4xy8dgKbg3ogfcDFU2vcGFBpNEX8paA8BPQnpERyqu+AR9TOGNbDhsTZFNpNUhqVKE8Zgdmj9t64/kH4sOEdBF8feR7mJ3ZDKnnkVzW2TI0BDC019UxsV2bbtDMsJaA2enWJjvYz0OZU/+ZglGF4YG7qT1W7VX/nH1Jp7dHpU5tKFXMOAzpvG6V6A8aWsU2jAXNb1QZYKuFLo9csk1xwkiLPCTcQczuTIsfcXeQzM/clBmYsKTrIi+aO6gU81YbgWBjc+m9M3bDBpb4EZyjZgHGpgmx3UVpSHEFSXkXGr/t8dZKUGmwQicCpoh8hJdLIidU51b2OmDdAUtORai3pfCu7YD+dC/IrVac8CfO4unTdSzafbLWLOP+5kD/R4QOde60vJR26ndKZsqdSgvHfakFXkrTifAm4Whd1P3KtUbXUBvUmhTfEDcz/0N8QNzTp1iTXDumQGrt+Ky0tJ1vUTuD50OxhPEO/7YB6luoBTBf1LZyryonPjEbLZ1fSXZLegHAD+9U95H2INz3KHzpDxUgxecO80GZL5N9+sOgvTVP3gsty+W72Kf6tr0alOX1bzjEuen7G+nOqf4dsgISqNiwxfWBMA3/PRoZ+1EdD5s3Q6J2JV/vQLgd3BJWlVpP7Ha+CO7Nx5KVWRxLVvXqTGdvLhu2FGZt65szDNKoemIrn71XM83RvxdhaVnGxa3SeOk6ddyj7mFRN2pAm6BytIQYztQL9Pe4X07zOBnEe8zCMZxtMc7zumjSae4wfSIK0sddaUf1rT/XvSGdDjkHikjKZ2230ay3g6DdpD/HccOj8Z0rnVBgn96m+QP6E/dgp7BAsoS0jzyIpxRoWCYy5wSE+EJ8bUv176+H+1pEMX3B/Zk1QUoxXvQ3yLD1DXsYMaFdhp6tlblcxXsKY6uuuDPNUi6EH0PVMDSKPRdzaks5nwDE+bDrIV1oXxH8k10jGXZw96c1GKSuTblFJ1KRX+YB6Q1l4rZlUxxDEcZXRf1xohVRPRB7pMhf06DLTIJtgJiaJujb3VKTcnM7HarAPmy1vvJXaiVmTqkPpVC3JC+lK55kb5F+Y7zEd2JQpG2OetvWSH6jDBTJLaJQaFymgeLXyMDT0LJb05ARjVqlMh0EJGj/557xF/jEme19whjx1g/PYXqC1KO1TFfMPzKslOoK1IEAvIn5281RHyi5SlfimQ+dX2kKSA2gTVL4B3HrSSKpatB6Killz1sP4Q/Utykdwlg7Ga6mKSQOdoy+4qmJTpMvBeOdSHMSkY4/8ovSOfFmqXxDfnGqpAro4n009kC5SJt1w/nSOtVo3F+nwQ/KrSphO0tKFdGSkJ9sj78X+cH8OpJerrhtHr3OTKg1lx3Wht5B6VM/rSWbKrlLzABFJ9eaN0gcwnBfu7zXSkW9Oztf51lDSyblPh7PRpMYWVaMpTyzSZxh86Cydni5Zw2a/d9Vvib9bepGh6n6TuRUDDr63HHCtIztzfu1rc91ZkP7C3FAdTtVmNWQ+twCN3f1IJ0c0ckwWZi7bJKYM0xVrRmbNm27ZuobOEi4Z8k20rz00E9UEtwNpoDWEn6Qa44MV7Hz9AF0Nk0QWeNYBeFNt0fnPKtECr9MA3FQ/deZQlrUPMFQIgSnQQrz3SSdUId3ZNLWvlEdPvd4b6XoiD3lYSHwN+ez8wDRuTWHdxHhpT0TNNHUiCGSqvyiAqeGc/CB0yP9s2OrqlGP/UqQuKb/BJGOAqT6MHDYhPcc0ZVXSC2G+VeKdd7igEy+UAOIUeilSboynfY55+SRgV9Bl4I6GRoJ2iP7hwRHHj97XWgNLWR8wXnmOivnVjlkbVed6LF0idlvgPgcYjyiIYPxDl0th6GOcxLyt2ikdPGMhNRPkp5jnWsiPqV7p1DC+Yb42Cgx6RAGoVK9WI8qD0U90+H/b+7LmxJUt6/9yX90RBgFV1qMQMwibeXhDko0AMZQZRUT/92+vnZkaQLjqnHtud3zRfqhwGQsplblz5x7Xqp7JHi21DHp1svMXRskqfbw9XXGuDcjehZ9O+t2HKzY908lq1uk9X/vGAnHl5zbiAWWcKy+0qcgFRx3DqlNE3Yf52mkdERquwm4kYa936FQk///4QfuKrjsZpZ/G9oV8CKQQcziXmvDfqoY5e85mjCz2a/7nc894c42PHOzPAs5Fzt+2kec2i6ino6NwivjRtoP9IOuc6Lr880sJdVfOuUiGImxRxBvHZCQjn/aMuNET6iuqiFs9LZ8zb/DrcvpwXhvF64e53un17ZnsTfs5+4L4wS9j9vZ0/JBld2yHlg22a1/pnD6bz8/ZidH60H8h/tQszutV05hUL56JOqhXb96qWqvu3qu+l52X7qRb/ihvX7qvxbpLh1Lz9bz1zF/75hOE7vOlsZo3h6g/2JOpaXxmSC7eRnT+kNF9zRkfA9KL9V/mpPWy6Izmz78m1e3zng64crH7ppOdMjAO53Lt+XNOSrCQN4orTHZgTDbPr2djaxQt0kNP1+envOHDzzi/kF1PP5+vtG7FE/wKWkINes1EvsGC3V79Bbvb7JQ+0Y/xRItvkMv7ekb9jC3ivTS/+ullzvn6izeoNvbDrae9VBbb1/zl+bPirjqHSytP9jY5dM/t+qJem3U7T2ZhVXszNs2SMWiXT0Gu9NOqk/N/LDbnJvmBeeN9UO8j3rGam6tnvY19PDn3IQzV9bnderbntfW8snt+IftuTmcqOWs/5sXN82fuqW5UfcRXl/P6k+FenzrG6wx5m+D559H4+Pz5ca5sjfqHvkZIP4d9W/SNPhlbb/lc0Trp5HdcnqcvxvDjxxPO3fHz0TYuJ30+b7eetJdy403/fM6jbjTfMHz7ZXLu7lGkdyy+16vr1WhIfkd5YdkVz5tV26Rvjcu+oq/e9N5bng6FdlBsL8mPtBrGvmd268WNoV/NVabZNd62xmhf/NF5mxQnrefuedQ3Dgbt1/q7MUMyrtQvHpc/audBBjH4wdvTCP0Knbk5NC+lp8y8MdW3GRrXy4fRJH3xsV4Vzc3zCv0z+TfUQz0ZtXJpcyqQ/VjT3xAfJpPk5c2pFg99/cfb09awLPIjf56fje1o+bQYFsmV3RvlX8+1beVyLjs/D53O8vkwMV77en7+1niC8zqvnJ8reWN6ee9WFuWJeVlOq6P5+ND98Cr6vFPxWr9Kwb4bnPezsk/+VbdSNu15/Tj3V6Y2ebWNhW0ejUbFeJ0bp4m56TSejE2HlHEzawSdoj9/PRounYudesuYrUjJlXvG508yils12G1up7V/1sqkH6G3SC/OS1ODjt/8uUrve3ruow5X33AnEUorZ6SBEf/LvukW8mqrU6FtNDakj8hazk6K2efsh9E+PZG/9Y46skmnaD4XOqgffqN9//TWKV3Qp0SjXWH/LN70PepC/vVf/3K8d2f1v8jUmoIX4Vb9w7R3EX1bTM17AQrpytYyTclIyiwAYC6tV8PvMjaE6df1ATMAeB9jDShbw4+xYAG42tpFQ69Za4N+2+GRUety/hW/A0cBPaBgjgN7IhgHm5X6rtmJmEFjiCHN3zCjqr8DSWwBRBb1d4l6ov4e692Mron18yauYxSo6H3Dz8z1NKC5iSEw3dwLnxkSX6OsL7incD1cSQSd27HPgRATofZ0mp1llhHGuT+PmUcKi9kov2lKvALuE10L5hm7Zu2BDjmVaDiiX9STqC8Xu13qXFvL8tnqOxmrd862r+VjuzTItEvza6s0CNq9fMEqzel3IDKftwolZnTtZNpm/vLaH1ytq7Fv952A7pOzlpO8tThn6eeR2U2vkzOzFc23zCCHfmKwJbglQxdyVTjYWuHkVnVab2uLflfZ3wq8ApI9oNsMM7F+Y4mAO5eIX2fxExgD0XsKJFzubR7oCWSZDdjMxL0n2uXaLJNMDfcb7gXvMcNDiJtA65MFq47421lr9jO6Gg9dB9yPa4zZhvurMX7u1dTaeycokMwXPHtEMp/N6O+BG/ap81ygZ1ZD37Z+BYsNkNca1x0jCLXW2ROY+mhuaM/SHhl30Ie+rJcv6LsMGDFH07POuu23RowlMgdTx0Tb/2DkuRCJr8j6wwmKi+nYPwEhzmVELNIZ4yFjfGBucU8Xe1AiVjGSHOkIiVB3ctb+hv7v2aWMwKuIkLE2jPkyqqzGua7/XuvQGu4EhgF6TnuXGNJVXsrfPNEj3zLdkMYcqD8SNToNqyBxncB7SMEnyDKF+aY5RB90iD6kk/44NatYj8Fng5H1nN3d2HsFZj506Z7jan7TKpV3YIVsbVjHehNmacJ7nTdyf3KPNvBRSKb0RnCLlCvR4sH0GoCBrwyU8r2zECjI0e/MdBchgfuXYxojXiM4xOfzs3HdKrRfxRC5sDV932SEq9WO3uEOgTcN4bdxJrnVLqu3nnOHNCtYJy4eo1nzT9IzYN5iJNXw9/nbwjgrxFZmH4kjdPM8MJPxhtYk2mNKhteiP7oJJDLat9hrVk+xPshrYmsg53uPMePaGJJUU/ZK74HrQOfcfqxhf0w/5P7YjPuZzaBcIc1FugYIhWaE6CXREhn3h/TtVaI5Cpa9cTdD+4Dkj+d+X68KxqqWYuRh2WIUOy/aZ23oJIWE9RvUtzzNDen69QuzbgtEtgnrwwn+TnoGeEwOI1zSu20SKGuMvugAZVMDimYlC4Q/uu8PRmLMNWiMQOhkHASfdNLRNfNNgRvCe0JhCcgz9C/gMwGXp9alfTTQgUDL5/mm7TdNr9cKPEbIawaO1BX3GDYkD2t7mT3y79W8xDLJyznH/VzPru63AuE0RA8HQh5Y3ZdgeBN2SaEKlDDWYStgHq0kgln+yHuW5KShRWj2zJpbpfNz1L2+DQ/HFs2xxAg5CswVvmeO9Pxnszo9SvTsHeaYEd5IJmm8jLrbWvEc7qRNdXvNcZLr5uUYLeD+NKVs24vCbipYq342eK/Q3OYM6Lqrhf9r280H8DQi7AGBG3TNkD47uBJ9Gc/W33rh2im2Rbuh8AdIl0p9LHGH8O7M5q7ba+7hPz58d7G2IXIy7DIgn7IuXDAa/7EL1PQcy3WZdKKaB5rTcGw7e+1nxJyH78KMU7RGheaD+/Z5zGodb6+hta7N5fxjHTux5/orYB0IVgTnoUwJFgXIoDUfSMwrxhyqXhYTYFhBv2ptkpesYLQHdkfV2wHR0YadCeRVZsgB7gJ0Gtm4awdoewuy7V77ldUc5x7rgps9KZix8iEDWIfO+xmYU2o0tk2XdOdWV6jSzMRQ0T94vPRTMTGwDdMPWVC8txHsDs+MoXcvUj6DXajjuyHD0zqvx5ilAnoHnRnWqvqh5QNHq0t275zsvU62qcYj5EexPiUYKCZ9yeiyLh/FHM/V38H6rquxtdbiHq3+qgCZn5CesuGLjDqbVrkAJF6wiP2CXQddEbfPJrSfJ8t9jO2p3JRMaCfblxgZPYkyHSJ+X7x3k/71LpkWyQ5+p7Nw75gX2m+XX4KNAph6jQPpadiSumtG7yLZJ57e+mUhkwrFek1zTHsyZvOfnBDVPfY3iQCr5FmikAMhUqJhPvge612hMyJ0dB9sibB1GCdpVhVnBJ+5S4GqyQjjZNvRuZQRiJqSbYFkjVEw2U4uq/XwWusY28efzhnjBcXX9I/uQXsPZ3hBIJgqRPU12ZukS2aMcJohuaj4r73zZdpf7f76NSy3yl84vJKM0XUF/BQo4DeyxHPBOvCTdWBlv7Fx1uUm0McZxi1jLC2gueNzoMLj9+kC5+N0XWa97fDfFGOaCwaz8DnwHdiOUOxC6/J+Fqz0t5ELFNMMM0epeazueV3l78fmNXOJM7ZMOjuBsZSLoUFXdKWTNoxhJ21x7HXxTgfl+8V83Uvou7ZCZOQL+2z2MnPm8xk4ZQJjknF/JGryXvwsy5/1fYTZ1+HPxc+GwAirlXXWcaYH/bMT7yIw3yzSOa5ghqJnXC7syy72utMrHOn5X7/n8ID7HcdZnW0N+snYYBKvafPq75O+Yk/+XJwlMrL82ZM/feCA+SuB6kpnQUVfT8mHw54d54T9BGbE8Iwgf87eZJoxv1XYUtcQ0xA/L/Jn0JJIzmw3RWfho7mQ60X6u0dyMg5jPQHJd1bgYQ1XrVgcgX1aJRua+rzCCLU07pNT8xO2cJeRY6PnM85fjRHFgSkEn3AJfxPn2G/WfWOuJUYgnbFjiQPZIN+3kWH8uciuXTMK8gm4lHFdAoRmea7M+by47h/Z6Oy3CQTn+pxsR4/sD6D5nrDvlB1gB8Vzq2YFreqWUefFWYTvuNfWwmnCJwzxKv/z+EbOdm1vY9G9jN7urF6Yd8bVXg6MBAt8aJK8KHoHXjbX52gfMHtHFYW+SCsyXTuIjtQqWRvW19o5miuJiVvahvi5dEoleAOaPePQ6kUr3jKLtckY+Pq+R7sb2NhknTMfgi8w+y9+SrSw2ay6NEtedgKLQsuckpFJnU7yzIHueaiXjYiXQGB1k9TS6aPNTzRbe5ZaWCfjzgWRCWBVT9myN7bSy961jN3A1fQSuACAsxzOF0kpzctBWdTC63I9d+0c1PyQlFzcEWkeYDibXrs3nM8Z9Q+WJXCRy3K3j7uF/qAzl4iAczplaQ06oQVn9/LNAVv1XZKgDnDDFySVgZA6wYkg8ctpfDrzFjC+NnChSXKHZcZhpnFMwYtA1lCxBDRKgbHc/qR1SGA/N4H1PZZIb+PO0dwMr0AppRNFRA8Zs79xikUhSxzhpF0jI3XbhhbhN5Nkc+Rk0otrmwifuxlZnrvWfNvsrv09IkNy7Zc09kBgUgstKPGgw3Vp5JgrMuZhypODERmHB5Zr0ysPBxVrnGkPhxULu4dkVnjZKjLFfJYkE60c8y/g1IEGphOMPXmOaCssdXwP60PvRJ7BEGOYS7RR2vEuMLXZEiGZIDmZM+9pu2e8iIjEWXDfCKuPNcmErYb2VkQ/PPLQz4KzieTWMg1wwpxoDFc6hYFrnwHHlMDnN5gnU/wk7bGucIRgNiZrUnJP2zUDa77A2Plkj7DJYaWQlgO3TZafaY87dJ9pBtZ9TI49F1GDquA8YK4j+ucgSo5re9hbvgZtTSe+xM4vgtPi4JpAEm2Ee8R+wLeU+q+aRZSC8b6BUQ4ZEuiBA45OTyJcdsbXtuk9Zjw/eg6IxiHfJSzZQFhegj979WsiEPyYc1C8O39G9wP2eh177HM6dsmjHvxkfTS2BLcI6Qhh0erwBkkeBGokMN5nfEpUEFXB+5Ml78FDIHlllEiSt8YJsqDWGveEjLKFJiL8IppCstiik2w6NsJ5nTLiJJCegT+OyLXHHp+YkyHpbtqnYBWfR5kK5spREf9aN2drAl89QtQOMdf3kl9tXy9fyuNMRvzM0r5SfDbMaXZWvG1Nc76TnARy7wdeuB9Dbr2/ww9da2fhOQDFmywq9t7H2ZdtnPc5ja+H9m1OcjWDK3pvgxO0Z5zNeZxTUPINVfRwL33FPQs5lzJ0w3FH8+xLvuiQw6iIfyTzxlZ4OeBoumSnzC8hdYw41xCNw1l6hWUET1jJqSOsMnhLeWFt+RnSMyI79s1pm+S0VRxY0rNsaNbmhmOpSOtnJji7Q971c+yzhvgs8c7FXPjOSX7Vi+BzinE7gUM14qZFVF3xt55vxrMX/K9OEOPs295yR+Jd6dlYzxQ+M8GHGx9Xd1VX4zkk+G1LgifSEfy3e+aci75DOi3P96LPf8U+Z/7SBP8rogNpPJalOE+wTvrECpo0PvagluKZ04hzF5zkSb7t3g1HbQ0ZlRgvOssqojbbkHsLKNnNmhEw19ayHvLdTkWkP4fvzPA77w/w9NLvCe551kfgah1MbrjCk5zWMR5a5qqV3G/VCXPY8t96gi92pO2Yo5Z5bsPrHL6uyVy1QCnfSl7Y3/Dixjhvxf2KmwQPbU/x0Fa+4qEtfs1Dy2sj+WoPbpyD1611eCzMl+uHe5ifQ39L5S+bgHNrntD391Ewkf1BBg2creBq9cDVBT6Rd/xjPtfG4m0guVWAMN5nLnnaX1YQ/r+61S3zhmuW15p5KvPgynSZd64T8cdJfrobjkkR9YKsjvw89kEfnuEdvyB0X15P5V43LXpGBv5M5B/EKh8SvCEmrsv8lgv2fr9fTpJH8Y7zzjGjdYv4dtkjVHztqXyyaTyGKVyh8CpPToy/l2ySE51PjMjbpHmJc5SmjPt8N+4gfbypvIiJsVt/OmbBvYpzqbSfjxbR/0N7l8Y0yt6vg4ig0Pkv+XFnzIvW2JEPkbLukvvwj/hgJZcosq1X8DtD137NDfvgeT/+lC/2wfdnzKFLZxXpg0fvpGzp44R9h8KqaXo57P33Rcwv6N3zvuLcGnEmueK3+tY5jYc91K+Yt8p+yxzwla2ac4WSnws5grnyQnIsVTLNB/6B4Ck1Izm1Rzr7e07gwZZP5U4le+HRHOwi3tKQxQPsLnI/gF9XMIGQ7Ut+bterV1EJVST/VA9Y11+L7iM5GAfRPLJdIuUS37sfZ0fyGs+3k1Hj2rzbE8WQ75nWZC/mPnUv8jk/WjCXadBexGQwtj/BCEPyCK7fNsuisP93IvvegdwIHuAUXfE3M/X3ciR5xaSPhuuP7c6/z+Ub6lnoaMxFIPxr2oN76AjYExG3b0zWhw/kLtL9HNNxxsOT5JFT0eEfiicu9Os5PtHIRGxKzLlFcjU4kA8IdMhgNp4iOw8erx3WZsrxsszhgayeJ7dcvKR32ear1WOc2ORLmB7pDthS+n5a0a9WXK9fG9tHOs7yw/OS5dCBHlvwXPM+hU3miAoT9dnJrnY/nGt992gP0PMYgT7GDxyk8AMHcX5gVFuMYV+m6J6I57cb3vfBWROOM/XMoT2l3i2VP/3R+0g/ZJyTuk1y+srfX2C/iP+n8483E2PPh/Pz6Hlx34fvW9om5hSsMLTG0H2PdObuXYwz2gOhHj3zvTgzJtZfxENqMqsk7vt7Puo/3odz6U9JnupFmh78Ul+rjCXHNUhO7dBH/WIPP+DslvfKnjiGCLaf2HjT9N4XXNiPngmu4th+GqTsp0F8P8V4oFN0ewoftKxiayb1pah4eLw+RclD/T+1d1iHM4PRlPdIpIvCahdZcScr09S1T4lr+4/sjCQPOX+3lMorPgDbx6N5nWiIG+9h/6dw3WMdjQvPR/x69t3LatzBH/nS4l4J+1+OVWZ/2aeJ8X+zrF/j14t4l9L5l9M08K7NO38Ge5+z/q+2VvBfF9F5pjgL7Rx4eZG5reztKqq39j9iccKNymmkcI5/ze8Nm+V/i9Nb6pBHZzmqbGYjN2vnEOsX7HIqfs/c571sTnAPMy8qci9HnO1RfBxnVEFwGW8wj+Aazaes80rqutCWZ/9WVCueQz0exR27sbPSz9/rxgpyaAu2A5TuqeqnWW54BrvRdNP2ocfILrhiLknXP553qfebHL8gOyI23xb/I/+7LPzzlP3scW5kU79f+3is1fT2pF8OOG/i97+xbcPzEv4RxzUWxmXa74Cj+XbdtcTff3tOlVX16S/MHcdoQruPYyWes9zPw8pRmqvJuixzBPA/izsed7UR3OsMB3v4oZzfj2XKuQirlz/z2oi18N9rxrbV8zyOxwTy3XqZjNSLHmwEN5B6F/6tkbYP4fviHOS5js4nM7OdcBzQUeM6tKVdMoH/ZmZzMfv8/EgvpsXa7+PGylev72N+exjL6w8qk+4iGUuma3cc24MNqPIO8VgrzdlNTDVi0Vxz3tiTGe9f68/3jyjjfZfh7W8TLK/NqpuxR+1Pe80M47v0fhY6hZCx4Yxn5orvOTIrazO7cqFkI/uj4QQvomb30OrXOaKG+gPbRO23e63X0AMz9aedncxwg9ewLjIE5W6lk9HL3UFn7iCLnUO2tAAmaWa6dwLOTPetnsigQFNIPsC5pVWWba29eC3Nj61Ffvcbpvj7rC6Ni8a5jmV1RQ0I7QiZDf83srq7BjI5KpP2Juoo9shSYx65PoIsWZklyTIfLXmOHIkhr2WsZVGvqliGPRcZS/N8bpUM9tghrVapnreWlmaVJher1Lm+libZ19JK1nHccdKKk9Jkht7sJNdpmj5nwLCL4V2eUXNIu4S0VL3ZL3c/+iSZ+MnZl7jGKpXJii0HYpeesaMv7euk2RsUGkNTRaGM4LVUv7aXhmb1jYx1nWvt/rxgrljK+fSneyCrJjlnvV2zNkfWN+LVSmiIfJYjM4gC1ubspVuLfJbeXbOW86B97WiWqAMKJA9rZ1Zdbd9l35aMch/bYfR3H97fWU/oOuMEDdIulTPWsnwl+Qqsq3O1SqushUzOfNvkjFoNdYCFZVNEcXC6nWhOt6RNpcXOWksjT50zGtGzw76BvR0YL9AKfA3zpZIG6J2jCAFnt0MNKbPOE67JxOfgWWUNytkn0rwlqcFND5FQ2muZnci4wILibALPBVu16v9Kq7A1t0VEAVr3Yi23UZ1nbcvvJyypDF2DqJuKWHo7jlqxJ1vPync/IzruVGXPg3iOzKR6C/bUxTjhyeN0WYgooLQQo7ni6B/rEY0jMchSsgcBrekuojVssodeFPej5/L/2Xov/mBriqM/7J03pVycSSeQpeqxPokyt1wdZFsq8iYi+6RHvDV5VjcZW+E9yX10JHk4oz5trHE/2rZxPW8wtumavUylt04cKUMEPrs/j3vGZ/weOFUmufbufT1IfJ/nLFyPiRxbWMvG9x5dtxm6n44sRyNbaQ+uZXD08vMgL215YiLqCzkjHeXB+rI3nAGGdQa9cBSZhcaqabpmZ+XVO6s697qh9wL9gRyxXGdExvK8jTKz1cvOAcfkurNtBMNVZ+HMGz3cj6PzRxF9EfdtBD7m+Ge94gR98/67M1N8V9Z6iZM9+V0pK/QOG9artspkclS78iKi2aipRu06v2syg2JvcHIWlnjnWeKd65ukFX0Q2UdwnJoeycJ80xh1643AQKb2SLJFe7gj+Y4Py6+unQSJa69fXTuLrm0mLE5Z22qv97wGbVP1jyH7frjeZJsXTlDwUJmC3rqRVsAeonGc8f093g2R3Uk2I61GUUHkirpTnDvXpMx3oih56poZW7fCck37rWsjE45M3Oja4Ey4mtdIlnSsJb8HZ+u5MquuxnLLFf46vGaPLo19eDV090qWUXmuT1EhQYs/M0nHVCx9pE3Rc0G60kryNVfaLr0rMrKxa8IIvIi8Qx4rqAKZmm+jKfYrz8HbmOUs0v9V1Ff612b1cCTP8UrX5SOvnE7cNdekL91RAz3AZmvcRk8kajDB+wpPVPGY01x0cJ6h1zPfQuVUuXHiKq71cOnKaglZaQQbbT4VteyyymK4iqokiuwxzdDfWbOQ6Q6z0cKrMKQ1LqoDRldYynxOZUZa1uVzqDaHfqffMzKTGrO4Fd+24NqWdd5e/P6XMOrE58mcKy1IHg7WMJPce8q7ZyvXOyiuYJn9iGcguHqSzmQRVSeZsoeZmzHSXirXhd4me0hkm2/GRfqr4x84IzruSS8hpg+RdYjrC4vmu32Tce2s818+g7PbZmKv/na+5Hd+PPDY5DsWV2M+J/ndf8pMdvi3WMVJNCepkSfhRVlkb3bWBZ5HeC9kb8nvZl0+h8VZauL3+3HBBhAZDbLRTNs/HMQZhn1/4LN6aqpsfobkms/gBewDmv+DHGt8jlgWaW5vz35zdN0dx9F5faW9sKbzlXwBr5PYa6up7VayNukPjbxPd5RrnNxs1p5oZD/3lIzNcb5xr6m95r6xjMxEbBzuQyuATx37GGu1cGoWasqkLKOmGNm7g5vQkYhqsP6HLrVwlqCi9BO/zzRUkEH/oLdrSLZB1hc8uF4HXLvQKeB+TujWKiKuZ9jEnBkYVPab7gpcu5jPMnurLrI+8UohsUdwT+g1ujYhfy22s0gft5ZFrq5oY20qBw12YXvZkRlgkfmd5Rou1meULdqNTGFM45OVP/K7cY+7LM650ZX0QoUrRTL83dwEEVOtreZI8KPjfIGs2jYi1ibv5/B7cRnr5azkHit1xPe4kovGlbU2XG31cFwNkfXTpH4u8/m2C3mUk3sR8/ZKFhQ4wkmHNJY334Vt8Cv87iLx3SPkq3kjy2w7VQ5Sx3stjpDRHhA65py0SZLvtEvsWfaNIptGRk6gI/cpOhLv0Yc8pUWGu0J2bXB/N8uN60jDHmnz3HWye1GhUC0EbGeL6hvYKZ/1Kl0TPz/DZxY+m6LiLd9aKv1pJd9tbe3Gct6cm3lz0rId5QG/L40ra/e8Mu1hd6TJMa7b9syn/ay4slOe9Zs1SnBsRzZhfZeiJ6sxjAGbdGCs4o3HZjr+YTceHgKWz/LQdnxRLfXoGZgrMe7tzbixF3w1x7vEHFfCPbi72dMndxyzwcqTO1uJeajJTlF9jkOyAUnWIjsOnRA93WTO+VEblZZcVeyMstex1vVpzlbTXiFjZ3V0H+RIP2Zgp4iKfGMrcBq6stLZ0OAjTTT/gMqiZg+VuLHK05Qeyrq08RK6r8KR/RufLMxcdLAvB4l9XhjzZ6Qj+2QNM8ZFICos2PflfeWcG7JaDNf1TDd9ruleN/tYVuPxGfzzIxoHn1XvuczdGY9KStIV1Rhuhi0qPM/zxrVylT/l7w35e2NJ42O5ctZTb6INr82KkbqHOz2xh/ls43Wf2jadeWGlXlDMoZqiZRrag73AdkeXbCCS3R3rm3SdSPowlMk0XVNt9lL2r4x0doYHOttc9jc793tLzqusPJXvRPKUI9/1R6tfUc8N7JzDe4XuR+Pd/3hdZC5jtY/T9Gi5vMMaxqqzZQxPxRTCmNxN9quISO4S1ee81p0/kd3Gh+glTtptHE2OVWvDppB+lOwpK6hn/ahXZBW1ry9pD26nw0OsMtzj+VP7tlnVz1i7+L1pncluqYdYIM2bLKmq8uU9ImKY6EVj3ISRFnsH9sGNWEVr55jYZ6ramveWPKui/TC2TPU577UwU4eqYcSb1Pn6GqsUlp/X49ejAld+Xu0sYtf7Mj4gnkH/d92U9zzcVt2hTy6mPzQZKw2fJ/uKOf4YjQ19phy3/HmbScX9Wst9LDMcZZ5EdJ9jndeUsaFiEf7GOf78h5lr2TngVFGtElaRakmdUBzHqrth9yV8vWGwus2CizhkxYWvHY+D4lxLuTbP19oc16i48Vis8rXF38q7pE/3wr36Yq7J7hHXpFXny/gkqjzR43iv7+yRv4pinHuu8COb9YSYdFplyDB7OMxGXenDTn5EFaT+6lFlhRrr7TVRf7t4dpPsY/KPxmQ3nVSlPz1vOxM+l/o8vn4kg/qnOzZUr/4cMQsXXSa14hY2oaN1dq/JcS2xLpPRGbgd8wHyJhWFKVRQ94vPZT8mA32S4U+e98TedbczzrPsOWYL2RgEbDurDjNUcz69caeCrJzub9FVAX8uUQ3v1jphBguZuygOi//jPTuxjgfyIU0vuiefx22u3L6JZdFZwdnDjVW1NsK/x/wghhlVzJHuRf82uiREdbnpXmXnhKoElL3fqnvCpXM2qQ875M93Ynt2aBaKo1zXm4rzV31mys/iYzy7QVixn6zSv5uHYi7e4SDi1kpPJsdjiy6CnLXg6ld+/sy4qVqIzUVK5YroqkiMa2qq8bTG8S6Jc8DxRnQGQN5L9ahbg74TxmZLHDcPP2dfPaWa4P7sF/eV76p01150MeRl7HQYdm4Mrw0rGV9d3XQ6FHPNqFOFzg/okTriwL/CLpAq9/6e6Rl7fkbYNcF+E9aM9At+53OIrsPvCR3K+SZU/A+rN7boTYY16mYQHQ8yc77mzhz+20rI+fDwi32C6iTeobARHTwedzzgGhWv+bq7ItY5Ie83PW9v40Oy6+GLbobhl90MXHGquh5E14TK+HczPG7uuqBxBWJcTRHXTfjs8vxDRRtXLkTVl/MD8jL0WU5VPbT6HVkdS99ZFB9m3adcffnoniy/KffkuNThYZVALAcnK3biOps77kI7z9xxz/rNuasquxYxeV9zFUrZf+0NkWcLn9Hor/wB7Uf+KW1NljlbK3zIbs7wfFDVkdwhYqIrBPkyVHbM6R93jwBjRGKW0N4oZYCpcORqxWX4/19vfeMmR8XxlAL00ntpP58KPZ6JVRiJSiv6W7wK+UE1HbpMnrAuKfvl3ob6n+riQC6tx/nAqBoo0h9aSgUKfIyPpG/DehTvd+Bqm1IZOvNR9aXG1XGic5Ts55ewg+IvdSjQ9Yi/DjI+rdK9fnfM23mwYvszrDLZpVcOJiviUqsT+UxIzzGnVNPLDmJvx9VMZiK/HOWZubMh3p3wME/+8/9Apf8jTL5UG/Zxp3xaNXMmUN0CNG6sx2e4n9hW3qIS+GfafuD17rMtKs4pdC2Z/NlO1n3cV35xxRmfYwdXrH2Az0keg5T5omeqalnore2jymPZ5X9fMSgrRh99T1URplQaDm47AMKKtNDP46riMPeEambITeG1j04o1gP47BR+lqjSXf38rj7e3lZ183tE86vscfjtjJf1ZQcgV9DBV//7lcX/SCWxqqSLne2hH3ejmx5W6DbTzi2e30hn27145SbXXAh53bQvzkbhuxW06L6rVBukFf3fC+3i9OrBBetPIdvtztCr3vgtZMPcxI9CH5ifs550tqgu/Hzf+QtnpkUFhgMydqa9bOcdgNRaPgKJFmBDi+mo4HPyniE3uoWWVjnYvSxaRPdwCgCr0ylNF+3lKrBGkzwpGJ8OZCTpjs4GSbX22h5l+P/mugJgTrTYbqbjIQCZkLALEPCejuvietU6ZxYCJ4AR5QYCWC6fhJqQIKfSGFhOR/6e4WoYgmAYABQYAcPWfNfrrxwUPCLQdnACBVZaT9xvsBkCCkONHUrjVEfxBeB2AN1Say8BrULfP9i5qa+gPaa8YRnixScjrCkgiRjmRRQUaj6+c56M/ICBRRW4Ya3NIKISdOtoznfFGAjxRsCllOPl7PPJaJrhccuSdwUpwkDBEXzIGYC2tA7cAiULEbhdjwvUAA/SK3rTTdd3/HZuMjb25qZI74hy8nwM+HS6m46deZMNgAFtrsqO5hnthEu8mwxA8NxZV2M+2RSvPH7tjFL7KzmRGZSI03VrhsSRbWNIemCdSBaWEjwZcibXFOCVRZ+BlU02mvEM6cgVyAjyFrNR92O6HqLV2nO0A/+/2ctzsjeEBxGbeC+Mw+7JBk5xEAbxzlxCLIC5yMHY8YaSAcaLuSpUo8JMi8vsbRRcjSr72Xjn0xysp6QQVcEjkjT2mJxJcvLUARFuPlF0AcW8hkHAz1ZBEbHR2XCYooRZ/i6Nv3Ws0C0GbnbmotLZqA1H4whwtem4eOU2cwCn0YE0XTs6t4TDYBi1PaeU5ZaJqECuLQyPFLBKq/JC9yl+4F4y+OGHBRE1FLUNP+zR0LM5cNEO4qCCVn/FpdDWEkUpKphGc9NLudbMk2HNzqFKfl1nI/cwSb8W75Z/LdX3siAVzlJeHY4ctNemmxsolthYIfMVNkBiz1grZ1y2HCqA/uNAzosEPQ+Tc6KlXM1VoSevl+vCCX517Yr2yFq01GVIgQ84KCOfDciK3VTLevLagzvU92I+EwdPbPwc8JP3wZzV1U85x8MD3i/mBIhC2xHmXq2dwQezFXOo3+Ek1VaXKDiOllIpRyqoXJsj+V4QwSWxd7BuAhxQOfyJ9hlVRC1BTD353rE1oD001hhWaJfyfSR/SH9OtnCMIM/R7+H8+hav4SBQ+1TdB5BXlmqlx/gD3qvYjxrpnexUJMqmseKRNfSyaIPGWaKv5ecHW8P50Yknnzh4FQOkVO9KutbNTdC6ndV/ITEojclYYrfD8wwj8mZ8J3cc6WcYgezACyB+VVCjifetaOF35RqiIGCsyWCG+L93MycbK95SUS5U1X6Do3jrOKYUEIaJeKVrbgIq0KU3rbxdmstpRugPf2OPRGGvsyhsGDIvmCtZO94GVesBtw3zHNB5FqDIv8Wgxw0kp7EngrDNyfT4nBOAhgDjLqxofL4EGYTs0JkyPKL4h+yKhAEmCllXgQiq1G+NfvydjOs0GJtCXsw1t/C0hDPpcLGPI8F2uUWV9g07ZJt5qqNIhpsowHrQbsp/lwFV+v9e3G+LdS28PmwlLgTxZ9P3fvJnHNzawxkn+4o/892KXuC135ANgyKvfp0M6674jGRxnOOir431qB221jgxdE21khfvzgHHwiNoginbDbS3RPFa8zF0WhFkGBgP3h/j3fM7ABqHPmv1M+LZ8+1dC6+DBgh6ToqTlpeBJTbOe1wsI6GMuLW8wmvarHkaz0WpzgGF6bX+t9aO5pTv9y6C9B43OtDzXnn+OVDOcoPr6LOCHShZFOvxqGVezB/dd/QCJ1Hct2Y8kAU4YL5IzsniYrlmT6nwTLF/7zhnMR4hH3kuKN9gngYYI4Igga1NkvuJ2/joLOH9VL7fT71H+8mJB4nhpKTJzuZLuUnfk6xzRJF2Ra4HO9fHd+Nxe/rv1lYW7eejJAZDAuUtdvTYkd99NbeRbJTFGpb2Yg/SZz3AikDW8Zncg2IPcNCrAAfbrYnPyB7+eOdCT+ervRTKDN4L8yGSC6uvvvMX9qpxZ0fcyMslJi8/RQC8HO1htCuOJxcB79ItvAbh+Y2Gisw7J06m3lfzKYPBwsFlGQwTrnEopzDoLnRpF7ZzRqwbdA2NXwQ56G/GPnYuwN6URcvy/Je2e2iDx4G7yyEEFCcA3FqYALiwDUXPEgQsZJebQscB+slarH47x/HARuRvIChwjv/u3bYOC71YfqQXN/E2TnpGqr6bBl/pjFTdivc6i4YTDups30UCnuZbnCtfnBPQa7/VUfF9FNOx6ecd60GccWL/k2z+0Z75Iz0bjRt6nAlpOCAoZP73ukSdeUIOU8682/3C9uPhrSfGCXvDXQqIJhqvgvsUe0qezUjEYe//A/uIi66UfNPz/lC+4feKVl1Xqxzd6lb5uKGvEE+oqXuIveqf/nCv7v7S+4GIZpQ9TxcegrT7xO9J+2opINBCiKn42Xbk/QN4Bp6zRiAB9OFLJyEjNW8HIG4H5EHSX0vZj0cJ2UAyS2u6pHXf1I/KT2+mNCbMNvW7pgd7IXzRtAQffC8+K+m+8DM5rjGekv3sA551a4/J56zmhW2+SIfL4piCgGLg4LiINShoTv/HFO9YqywnYzRNciMc5Poy0SopMHEIht/PnYyVZNObF+g7/S3HZYTMwCegz8bWfIQCJRTuVR7ZyK6X1HnlB9eVLzGbQpzv+C4aV/tltvOtmN57F4UXGwFJuQrCBkncBz5dv/7gOZxA20yQqK/JezzQFy7rB2PLjZCmV2BYTOV78LxLO0Ho2JWYq868Hm82kOvRCozggQ7ORv4p67Us224R0dZWPCv825O6p9zTaLJ9AG0ykEUmLCPkLwwuX5wDWSuEZev87iwoCP3O9naW1yC0t+dxexs2Rl7Y28o/a+S/ujfk/R0NpX+mx32syVuPx0Dv5514bUg/PLCpv7DdyXaC/QWYg6/9JeVTFCyWIdhcpF+18s/QHwzPQiS+vFPcFnZS/NObdcjbwe/PY2lvcCLMFecsvodzU9qBOI+GK0Fg0Un8rs4v+t6/YWvGzj01B+vyX7KrfmPT5VEE4OL8uTnzZKzn3nas7gKZlOPY0Gyh9uDXNuo7ijDpHe7OvWgsZxmTO0GOH8FtPYC3+YP4mpEGP7NUsDKSbAdxl8mD/ZsRcQilax7ZHqT3EnAf08WD60TMTOnaPseT8F0ACHBj4ETA9srihxXrRPLfcV2ei8pEjBf3IZ+p/kj3rUR8j/WIuscDXTa5iJgBx2K30teX+r+bF8lCGhs/ryPsaNPw4kWRLpr2Huth7UYPa7d6GN9nm2rJ9j3NuZKvyeWRTLhinrA+B1z3hf7V/oL+jcc7tKT+/bvxjpj+Hf1l/SvGIGBKC6B2+Ov6d/IX9C+fMXmhfydS/9b/CV8k7lf8uf5dlkNfX/gEf6Z/6dp/SP/KOfjn/Q6NdWGK3/EP6eC/+5z/kO9RvLqj7AfP45X985/cwDbUcR/IeRgvi5L9XfKnJAFvP+uzPwAbH/9fnMM8A0iRXIakConP8I4kC1nIAz7X3kYVngfkV51rVsZmzs1H7/c2lmNbcBzrg6FBRYGLKJSgcza8ppd+zSOoRM4h9bOJXNIb57fOwp7E3+J5pVjzXHft56cjpcNEAWecnkEVcE4XAJiRRXlsu0++LC7lIpoQ0EN9LyzSWv+uYLRJ5228MUN9LyoKmcSbod4EmdOwyxB28eZpn6mMQC1znSHuUip/2iEBZAPgQ/jsIKl7uPlM5rgGA39YwbrMkIOqNXaCFiRZYxCnhGkt/qQ5MIP3UkVbnMeIz4XKC4rGGOMXyfxtQ8vZCs4q//6PwLNLm+lqLR5DsH9REC2KL+k8kcWbn7FCoN0XRc/nWBF5DFbtZe6cvy5qTll3hmkHiW28CbQHoIjgz2sxWoti0dH2EvaX7DrQr4AcOzdU+VAJ5QvqG5anxTv5My0ZM59sQCxeQH0GfG6aAz1HupDm5HCwqy/wixcz0IGo+6PxXsigqO8QlDBM6YPrJqhhYR01ZCCxyYjkk2xGxySdO8ru7SBOIfJ479ojLkrNMhRpdaXDv08v/M5yMa/ca9lor2VV0TL/ncc08nb/v8mtIyEs2TeQxYj9FQNOyQJWK4jJ5Gs3EeMpXia9qKhSXRc2mvDchUVowaR3V/CY5aYPMwJ1UgV2KJ6+aRy6TKLml5R9Ej4LYwkmi7t73jwr89WzQh2r4j7OiGOTV1mDEu5xZ1Ru/uu//rV3Pt/fNzHWOTBqVX2wDnnvJGrA00sytwlRkDyD+3QMPtraNfBtZ4Eng/DtBtyMKSxxR9MvkkmA2vZiAfy39tKatwYr5tWlY/jIDGmV4lu/7JdGvWJ/WK70hiZ+6p16xX0brA6VgW+RuVCk52ZFeVoVU1ARnLzMZXg425oPtOA79iUn519b1d0VnN1u1QcH8sk5KzYm7m8lV7keY2NiNqSmLKc7uKNLZjZGCLztO7m2YHuKroVaag6W2Q4zItHRAQas6ZCOEPTCjtsnuzb1waLEZXRktjHTEM2L6NktgMca+Elby7wwy85gQWo4wseLMP3mcswxrsfOGkxgxfBdZW+tGnuM4zO6JsZDm7iuIzhl1XPDz8w144fNY9y2yXvhM2NnkjmEMpJeK3AFtti6QdvBoXcRPOn1MnNAhox+UP0PeY2linByQzom6luayzh71SLBZZxjlGj9PWf9kLhM4rNS5tzicr8h1zu/9Q2Sx0ZA63bl/7P5G/ub/D00K/vGDV4Tc4rS+4PzFaFe1/0IuZBjYRb5DmEPDVRitVJokfn9bl7we6x35hIyrDjXus6lS4tL1Dcjy0Pexp1Dsj8mr3MvHPZpbrh3S9mrO8b+mO/+NoevSeZl1femdAwD+Z729WnCsgnGPcFwSKbQkU0pLhtkpkM1/1yaGZZb0nw5NWasI/nunlS5pEqRMF8xwgiCqU8cB1VLT65p2xbz7KQitjdyLMPc/z3J7jcTTc/aJLHj3l635GfAsZsKhjn+fLLWT7YoJRXHYRXPGAa0rwIHuCvXrGJSEthMuSKzaQpu87z3Rkc67fctI/TynBWXI9qJvJax56jeQ16rin4GrzjtYeZgDblJc8xxuojGIUJijLrLJcM8Hr7uD+63QPlQE7LFx2DMFF8Pr9Bh5qptdYbtfndIe4X2KFgLG9ediZ8t043pCudHTEfsGxnmBDbpeN+8rsL/q8+LWAP5OXiDdVnmKVyMKtgsB2Kva5fTBKyI5bY1IJOxk7n03wZqTG3bHumrKePe0N/BV96RGJzgrF0PZGki9EIxY5WyYOHzGSV+rWfIJSF5nTMPK+45kHzn0nV8xK17bg73G76mhz7+O3w3PmtIr6F0cq/c0GnV9cEzDRbCKekdcaYUDjbMV9IDs5FF+iqbIX2+no0bWC9hLo0tPV5uR3Ou9o7iOgdv704w9RU8m/TW+JrRG1n9wx6RPPj6R+MKzmCeU53PtTWdKbkpcO24v60F/MuaS/N1oH1r6fS9s+hNvfCZA05d198Hrz73n6xofD7JNunylT5YvGwEU+dg09L4GT/hgjPuG50J7/SOM41+p7GDNRXl6G9Dkb6cjr0dfffD1vaCsx4mS61L93jRR8zICSyaG5yc6sue++g5tQNsCrJDqigrZ9bPQiuQrHPB6rMRcfPu0Eczw1lD6804KyUjfQ1of7qaT2dsscN7I5qXPZ83pOvsKrnb47ouzOELy6zgHc5sWR57Z/SzeSh5xz1eI47wEBOEzkvSKQUwhZzHtJ40dlprsJZ6V5KRgHQ8yWeX1qa9JXf1U7j4mYsy6ac10u+j+DyTK0D6u1kDbpjksYYu6O03rTXbMYx/6VazZ/re1TULnCYc59rZ6Xq6ezfnm9ame3BMR+g4yXyK6+lsYOyORs7ZyPdak06PcRYznk6uVWUzG70ce7L9tk3BWkLyNmVE9Cb3+pGdMyqcQqyPGp5Z4L0GXLRmFWMjOSB9PRnDFO483ivkkqHkk+YweO9nWbc1VVirnz2AJbclmVve4B7VICPFD5K7pV0bXsnN899GkP2GZy+zAtOuqq9gdru0BjPo+Gs2R2vzCcbHFkpgqpcPmluwQK7ob6TrKmewPkZyY2x5T2yYAxvj5nki/bgL51Erx+dx3dpwewe9O68T6YfhwQGDhXq3Hsly9gI5booy3ULmi2vJJrlkHW0e7iky5w/nrbNd76Q9H4D17JY5+uK5tS6HP+heC5zl5NZluAxh1PUcgZ6vsKYzlkx3P2aLFpjN39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd39jd/6exu+OxtYGr6dwO2JRxrGQ+TsQoATXt1txTa9Q+offEZkjl4tlmGM/Gzs7h7HzYz8Rtv1H9Xz7Kx5W7w87g8tHJDgccl1IxARk7ifWcqPhJLLY2v7GP2llAdaPXJ97WF4+1JfZRKJf6gc/nyl75w0rPhPrCRZ5DPqvDdbCo78z66KeaGrE4YzV7skdcU74V972pUxHQE8g95ETtm4w5B6JVbxxwjHHJ69FJqU8aZbYu6xcvK+IZnO89hPq7l7yf23t0v9C2PdzIj4a6qtgaoLfsPBm5DOkUtjfDnr2rk5Nwo2o+4/Nr3OW+rm51eP5bdpvQKSR3BudP5R4rDwcVa5xpD4cVS7Yrc4xbvDughUrlRzYg23cxXSHhertkx0DejQct+WJe2V4J5hexP9k2SstFZeyxcZ8HjOcdgrO0faM1ewRT8Y489Rg6Z8p1Iqg5s9fWVtrOn9Keja/RA+gRrhkPa4qaNYa65Fo9eS7vmmnvgpphM5TlwM5xPFLmzRpoI+aao9S5E7UfJ7da2YuaStiC1vkxJOcqtC0TeQK5NogvzLRhgVv4R43VhGT+Vc4f+/qo0XsAYTIObuaxKr7z5+ut7OOU7zyKsdzdy+Mz363qmcnoHMqQ3Ce5lpJP3itYLwFBoSBFrKtxHqfvbZvWM/RnyM/u9wZOQkfcyts4uff/dqvx2yCCF1L9dWgXDv9f3eqW+bgNGb0x8pyP7KBNl2t+6G8YA9MRkFwIP7pzE2+rdjMc+07b80l7JBlnlf6aHTz2W1P9tj7HtWP2qvDVlM/zwGdrpkAh4yyNcjgb5M+K3lTjepMV5lnF5lP25f+En3kf3+f4Fecf4DNG/w+pN+L1Nne++418oydDDx7pPcSmwzmWNpb7CPJU+HIkQwK+F7XLoX+k6qxN+dP4O3r2q7UQ/0YCQkic9Y/eSfa7RrUKc3HG1+L+9ypdj2K+F1znfbUew6oCpofPHuh3et+ZmvMHukDCU14e6UF1NkRyuo7sHrxPqh9J8vdoXWcRVEAixy33wyMdD/qQk6jhQJ3qAzngmE48jiHlsnJIO6dVDCXf5Hpb725PRHGv1a4lauwLqXuR67W27NdZy0lMBmP7s9ph/0P0ZrAsiriFyLusIDeiXyNFVwh9s5+Ia/cM+1i9KIii8HcJ2x3GUVPk6D8T10ixrx3U2dEepHk7txDvj+Icvz1Lwx7kVP/7xhe9O6fVM//yOa1ioSdlvzUZYi7SC8l6k2Qu+ybWcb9XYuNNi1VNY/FTpkOI/M5Hz1R+vLCXqoMwrsBwJthT1UEYi4jGhzhKWlzz/3x85EvZVjUF/N1SmCPkHk34zMn6lAc2iIDpTdnffzuG8uhe/9sxld9Cwsl/27Q8A8n1v3lf0r/Yt4n4uPLvwzhOWu0N55gSOaKv4i8LnAtir/UHlUmXIYXoPOG6e85V7R744mEu61///f8AVeE2sQ==","bytes":34672,"files":["qmref.py","blob.bin","combo.py","twocomp.py","replica2.py","FlagSell.py","FlagBuy.py","FlagAll.py","ObservedBase.py","check.py","screen.py","aggregate.py","README.txt"]}}