{"credit":"Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved","item":"fee-scale-fine","where":"replica_choose","gain_vs_base":-0.0025737371787848407,"se":0.013289357840620509,"n":256,"seeds":[64000,64255],"advance":false,"source_sha256":"8f226cdd259a9dbc216946af8a0b24850d4a103e8df2372d7d7fffbe12efe6ae","source_hash_scope":"Exact patched qlxcore.py for the headline measured arm. In the all-stopped case this is the best observed stopped arm, not a selected survivor.","selected_parameters":null,"headline_parameters":{"M":10025},"baseline":{"name":"QLX5","solidity_source_sha256":"e183e5bc3fb794b7067703b10a7da9920267aa5f4caa968e16ca101b02338f40","replica_source_sha256":"701dbfd1175fee7d129de92db21b1ddc78645796c422b29d8efba2eda501ab00"},"status":"completed","reason":"All four settings stopped under mean+2se<0.03; no report seeds opened.","choosing":{"9950":[{"n":128,"mean_diff":-0.07574771805634972,"se":0.028288367329913272,"worst5":[{"seed":64023,"diff":-1.4563750445273627},{"seed":64085,"diff":-1.1582603631622987},{"seed":64059,"diff":-0.6716461422652173},{"seed":64064,"diff":-0.6329055259052438},{"seed":64008,"diff":-0.622262443720615}],"sum_base":68479.72191329296,"sum_candidate":68470.02620538176,"sum_diff":-9.695707911212764,"sum_diff_squared":13.742994690194116,"seeds":[64000,64127],"round":1,"stop":true}],"9975":[{"n":128,"mean_diff":-0.03288606081903245,"se":0.020004355061987767,"worst5":[{"seed":64023,"diff":-1.146971424716071},{"seed":64048,"diff":-0.5948715417340509},{"seed":64090,"diff":-0.5652167216858288},{"seed":64011,"diff":-0.5602465943205743},{"seed":64085,"diff":-0.48952878609634354}],"sum_base":68479.72191329296,"sum_candidate":68475.51249750813,"sum_diff":-4.209415784836153,"sum_diff_squared":6.643663247340123,"seeds":[64000,64127],"round":1,"stop":true}],"10025":[{"n":128,"mean_diff":-0.0020823527484332693,"se":0.017302412344675742,"worst5":[{"seed":64123,"diff":-0.6525860450547043},{"seed":64084,"diff":-0.5984792221054249},{"seed":64092,"diff":-0.5373332782057787},{"seed":64121,"diff":-0.4852270055419581},{"seed":64023,"diff":-0.3993328053005598}],"sum_base":68479.72191329296,"sum_candidate":68479.45537214116,"sum_diff":-0.2665411517994585,"sum_diff_squared":4.86717020889699,"seeds":[64000,64127],"round":1,"stop":false},{"n":256,"mean_diff":-0.0025737371787848407,"se":0.013289357840620509,"worst5":[{"seed":64159,"diff":-0.7787354736640282},{"seed":64192,"diff":-0.7152180829427834},{"seed":64123,"diff":-0.6525860450547043},{"seed":64250,"diff":-0.5998911574018848},{"seed":64084,"diff":-0.5984792221054249}],"sum_base":136287.25165067613,"sum_candidate":136286.59277395837,"sum_diff":-0.6588767177689192,"sum_diff_squared":11.530602812457271,"seeds":[64000,64255],"round":2,"stop":true}],"10050":[{"n":128,"mean_diff":-0.024975328958310783,"se":0.023716308008730834,"worst5":[{"seed":64121,"diff":-0.9003669319957339},{"seed":64097,"diff":-0.7445309963783302},{"seed":64084,"diff":-0.7382888779189898},{"seed":64042,"diff":-0.6253435523915414},{"seed":64125,"diff":-0.620643702901134}],"sum_base":68479.72191329296,"sum_candidate":68476.5250711863,"sum_diff":-3.19684210666378,"sum_diff_squared":9.223245028266192,"seeds":[64000,64127],"round":1,"stop":true}]},"report_rounds":null,"freeze_record":{"status":"not_created","reason":"All choosing settings stopped; no survivor to freeze.","selected_parameters":null,"report_opened":false},"baseline_smoke":{"credit":"Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved","rows":[{"seed":10010512,"expected":606.1300985640944,"actual":606.1300985640944,"engine_hex":"4082f10a711db056","actual_hex":"4082f10a711db056","equal":true},{"seed":10010513,"expected":482.77829524211705,"actual":482.77829524211705,"engine_hex":"407e2c73e5b63867","actual_hex":"407e2c73e5b63867","equal":true},{"seed":10010514,"expected":404.7966542836623,"actual":404.7966542836623,"engine_hex":"40794cbf188fe8c4","actual_hex":"40794cbf188fe8c4","equal":true},{"seed":10010515,"expected":450.2556494695746,"actual":450.2556494695746,"engine_hex":"407c241723e5f101","actual_hex":"407c241723e5f101","equal":true}],"passed":true,"wall_s":2.883723497390747},"policy_hashes":{"9950":"5b54f89e7d08e32a396207bf54695b92d0238592a14582fa13e33b8d9026cd39","9975":"4b0930bd4c8a5325666fd565c930d1cea77aebfa87a773739a099e22951ae746","10025":"8f226cdd259a9dbc216946af8a0b24850d4a103e8df2372d7d7fffbe12efe6ae","10050":"42811e8eb049d709b7bdcbb30563ba37c312b537dd380c1051625168a1683424"},"solidity_recipe_output_hashes":{"9950":"18d997dbb6a30212c7585c4ae237846e926ae3dc6d9ea833f5bdc6b64212f28a","9975":"aad24734e75a92ee2bf7ea34f7dd6acc268060410316f35e786186206f2e4a73","10025":"d33bbc02be797411848acb4982a29495e7b5101623da2363c43bb8c5a26a0155","10050":"15b4683293702ea71a40eb855deb79462ee750288d55ca3792792aaa580c136c"},"paired_choose":{"9950":{"encoding":"base64(zlib(little-endian float64 pairs [QLX5,candidate] in ascending seed order))","n":128,"seeds":[64000,64127],"uncompressed_sha256":"cbfb0738973d57ccd6bff3dd3f30709fbba70956dbf13d9a8ab22a232ade4871","byte_offset":0,"byte_length":2048},"9975":{"encoding":"base64(zlib(little-endian float64 pairs [QLX5,candidate] in ascending seed order))","n":128,"seeds":[64000,64127],"uncompressed_sha256":"87fc927684477431b34d2c5bcaebed3feb52dad456067d7d05da3ea7612509d5","byte_offset":2048,"byte_length":2048},"10025":{"encoding":"base64(zlib(little-endian float64 pairs [QLX5,candidate] in ascending seed order))","n":256,"seeds":[64000,64255],"uncompressed_sha256":"b23be2a5ba6b8554aa6127cb52e9046b6cc2e3c744355c20e920d3fd3f43b5e4","byte_offset":4096,"byte_length":4096},"10050":{"encoding":"base64(zlib(little-endian float64 pairs [QLX5,candidate] in ascending seed order))","n":128,"seeds":[64000,64127],"uncompressed_sha256":"32ed3e75a16d83531d79faf334716132dc1c891636e8d8a52b292952c3e35a5c","byte_offset":8192,"byte_length":2048}},"paired_report":null,"runnable_patch":{"filename":"patch.py","text":"# Credit: Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved.\n# Usage: python patch.py M qlxcore.py qlx5.sol OUTPUT_DIRECTORY\n# Inputs must be the pinned originals. M is one of the four assigned settings.\nimport sys,hashlib\nfrom pathlib import Path\nm=int(sys.argv[1]);assert m in (9950,9975,10025,10050)\np=Path(sys.argv[2]).read_text();s=Path(sys.argv[3]).read_text()\nassert hashlib.sha256(p.encode()).hexdigest()=='701dbfd1175fee7d129de92db21b1ddc78645796c422b29d8efba2eda501ab00'\nassert hashlib.sha256(s.encode()).hexdigest()=='e183e5bc3fb794b7067703b10a7da9920267aa5f4caa968e16ca101b02338f40'\na='        fb = U - exp(tdiv(-xb, 10000)) if xb > 0 else 0\\n'\nb='        fb=xb>0?U-exp(-xb/10000):int256(0);fa=xa>0?U-exp(-xa/10000):int256(0);'\nassert p.count(a)==1 and s.count(b)==1\np=p.replace(a,f'        xb = tdiv(xb * {m}, 10000)\\n        xa = tdiv(xa * {m}, 10000)\\n'+a)\ns=s.replace(b,f'        xb=xb*{m}/10000;xa=xa*{m}/10000;\\n'+b)\nout=Path(sys.argv[4]);out.mkdir(parents=True,exist_ok=True)\n(out/'qlxcore.py').write_text(p);(out/'qlx5.sol').write_text(s)\n","sha256":"644760852225a44572aff4d341a7579d08aa6b33eece0dcb5fde1ec400b96857"},"configuration":{"grid":[9950,9975,10025,10050],"workers":8,"round_size":128,"choose_seeds":[64000,65023],"report_seeds":[10000,12047],"stop":"cumulative mean_diff + 2*se < 0.03","selection":"maximum completed choosing mean among survivors; grid order breaks ties","all_other_knobs":"unchanged QLX5 defaults","AGE":false,"fee_scaling":"After both surf lookups and their wq/w offsets, before exp conversion: signed truncation xb*M/10000 and xa*M/10000; initialization, tables, fee cap and guard unchanged."},"solidity_edit_recipe":{"input_sha256":"e183e5bc3fb794b7067703b10a7da9920267aa5f4caa968e16ca101b02338f40","anchor":"        fb=xb>0?U-exp(-xb/10000):int256(0);fa=xa>0?U-exp(-xa/10000):int256(0);","insert_immediately_before":"        xb=xb*M/10000;xa=xa*M/10000;\n","M":"replace with the literal assigned grid value","signed_arithmetic":"Both locals are int256; Solidity / truncates toward zero.","compiled":false},"statistics":{"implementation_url":"https://raw.githubusercontent.com/identity-md-launches/goal-3178-build-shared-evaluation-kit/45e7563d1a29ffca9d608fdf60c90bf2624d2d01/score.py","source_sha256":"7b9fa5e37695a5d1b048efe91a8b6c45d31bd4245a733261774c871fe9105a43","function":"score.summarize([(seed,candidate_edge-base_edge),...])","se":"sample stdev with n-1 denominator / sqrt(n)","stop_override":"Use 2se and +0.03 futility only; neither kit 3se rule nor above_bar success stop used.","paired_moments":"Each round includes sum_base,sum_candidate,sum_diff,sum_diff_squared, n, mean_diff, se and worst5."},"timings":{"smoke_plus_search_wall_s":125.50422596931458,"smoke_wall_s":2.883723497390747,"cap_minutes":45,"pinned_runtime_setup_wall_s":5.243,"elapsed_since_first_artifact_download_s":290.5044455528259},"provenance":{"replica":"https://api.imd.fun/artifacts/60dc237fa0a4d42f3b6e2d2bed61c1a2df08d27c31ccd95cce508ee9c8689de4","audit":"https://api.imd.fun/artifacts/362fb97f041087bf3548c302af4c0f82d2537d6a6c0157a95ac06d0cb70a5ce4","base":"https://api.imd.fun/artifacts/1ef80bfb6d6791b877b1f4048a5e63cf2ae54153e6e8763ae3f8ab13132dfb15","score":"https://raw.githubusercontent.com/identity-md-launches/goal-3178-build-shared-evaluation-kit/45e7563d1a29ffca9d608fdf60c90bf2624d2d01/score.py","setup":"https://raw.githubusercontent.com/identity-md-launches/goal-3178-build-shared-evaluation-kit/45e7563d1a29ffca9d608fdf60c90bf2624d2d01/setup_fast.sh"},"hashes":{"qlxcore.py":"701dbfd1175fee7d129de92db21b1ddc78645796c422b29d8efba2eda501ab00","enginecore_f.py":"60af56a7570fabd603c6374d38a38f88b3c35a8f1e8192f588769460a96bfcfd","qlx_tables.json":"8c6d33c5c1024bc23593f46123aad1712c0cc8af3f4a118c5875258f9d7b81a6","mktables.py":"2b373f0c821f501ea67538f9bbaf2f3be9c1c44a7152cb5f4d32622e1a8a8e6a"},"limitations":["Replica evidence only; no engine E seeds, leaderboard submission, or contract promotion.","Four-row baseline smoke checks the original integer policy and corrected-exp engine core against audit unrounded engine edges; it is not a new full engine audit.","No candidate Solidity compile, gas, OOG, deployed-size or gates P/Q/T/F/G/E certification.","Python policy uses unbounded integers, inheriting the audited reference implementation; the assigned small multipliers use signed truncation exactly.","Runtime dependencies are the pinned kit Python 3.12.16, numpy 2.5.4, numba 0.68.1 and llvmlite 0.50.0; installation state stays in scratch and is not part of this result."],"reproduction":"Decode source_bundle for unchanged core, baseline policy, production tables, RNG license and executed driver. Apply runnable_patch to the pinned original qlxcore.py and QLX5 source. Driver expects qlxcore files in replica/qlxcore, kit score.py beside driver, original qlx5.sol and audit_rows.csv from pinned inputs. Use pinned kit with explicit scratch --cache and --scratch. All custom code is embedded; upstream runtime binaries are not.","source_bundle":{"credit":"Taylor (gtmcknight), github.com/gtmcknight/amm-sim@4812a6382311624e1506aca131ca35c378f930d9 research/solved","encoding":"base64(zlib(JSON filename-to-text 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vMUnIGQ2wvMwLADz/eMdLVgH0DTNEzDcgLXcIPAMp6DCNRM3fVdD91baQJNQaSq84GNb9mea/uWAY2YeUQonRQvz3Fc1zNcVKJSlK6eVIJTaRue52AEurfbU7Ym0PF1zyJuge0a+n54JmbItU3b97zA9eyfAeQ0WJaLfx6GsyHGbjUvsIC+Y5iOQS/1ZxBtW7cNQHV80/YcM1tVolFVW1ooLk25uKSYHfTvFPOq/gb6X9rmGZNFGS+RTl9hLG4kndP7QUlLUooZ8Xt8RmkWhOtHUz4e89f9IOF+LgiVUiGIOVqxJI/FV+IxCs5od8Racaeo/EcpBYi0NHEF2YAKIeLqZSu5aSVP/8I95bdVwjMua/EGbt8s2ortX9A2yaCejuEvhIrABNUwAo5FBnA/wAhEe4AwdkrYFEegdITuStpfyZMxF63HiY1mHjj1Eh4XydQ9lsSGS/PE2QWKHCpuFPIElxSIn7EdAKDkvW4Bm9d5GMd4gXlcqMn9h3b0f/ijfeyORldcui1sgqfBdnNDMXGbF3fjuLVV1gk2q+PWAAa4O+kv7guy2vgTWz0pTB7Gon9TKF3a3ofxLhDU2C3iMmhCpe4OkeKJgiJOTfeVYkOASLoAFnsqb6uxWVdVoBcci42KO5vuvtOBkiXZDJhuxjvfopUXnqe4ZdrnsfolZvuxm6uSI3HdY8ShiyVTcCqqmG9GoEpfEy7XypNKFd4zX1H4rv2bZhRZYuRjgidj/M5Ku7RIcZN17Fc50iRc8r2kdbd8cBdxZqN4UViifIehoGo46iKJuVRk3fqvNywtLBUxM4adfNvpFpZZtlrucpC7DTqYVNqPhWq9jdS6o8EuwjRJxWdYIRlEZrAPo9kdE/B3zLRwb4WkhRGSyuajkkqGlLRMYjmjj1mVFNc5b3IDWnAzgCxRyO6l9Glyu32ukorpY3Wnnj7rVd1BPZF0EFSF5E0xY8UGk0JCZ9UX9FhyL8CLIqUmFWZ3M4DOMwblJlPjdXbwv/L4buisdjLR/OJOtgDQMMYp5ciME1aM4e12x3L3b1pB7YqIRUvBxEiuLdlVUYilcIMVW71WNSgxAqSi7rMS8y8Y3HMSk7J+DlfO/zjDbuJWMQL9eFd7JRGeYwmDShCgO9KD4n2KFrMl+RFD5LntkE4I/sVbkRepeUpN2SCinkt4I6BnJMEih7auKkHOYA2SSkDpaJEbDqycDImBaEk7zY6q0JHdKoYuocHpVvQw2lMOK32ewXGi/XNDvlgNlTZnojgrh19CyzwxlHByKh2vmENU0n2FXka0eiIaTwm02XMjSPS2WPS23IHi10Aoa1V61Bmcol52inrAKm23a4d6W8su9Opl6UV+yJFMdvyAar3/KtVUYItJPBLCxL1dMipMlWwUwH2HmhLlXdLO8xSdzTP6VgYgatm1i0kC6T6LyittnMpk4V7wKr4SLc0bI41+I5GGQV5SOE/LXKzVSnwwI1uV9/urp1lKqKucGSJbQCdLLyVtqIOBuUmuJOuDGU4ZP8MpCXh4khW0fkWfmBdEZNOWq4mvBaBIcgYInWJMmzQ7zGYeCO9J1U0FWd7dMI6khrcRunLsd+1T6rIOc5Z8QcQw3aJgRKcttjptx7gz2zOYPHRzADLiP0zEn4hHq53GgvETtcjS3FRwlbYwA/Vna9llrqYiwk0b/2QDo1rCrtiMYGSZt8I1lGRduSKryqR0xfbzeSw9u3jM5Ndsishq8Ig+TG3S7Ufq2soulO+mw5nef50uV3rPMsOpYvpE3XS7W52BEbzM0W+24gwkI9kaeSlNxqQmh9Z7tTXk9K1VLWOH0nlURKAUzyukKLGzNMmRIFGItH9qreIux+2HNpTtYytR4MxAi6dWoMp1rGIGbsKjqXxFe+ULrdIKrb0V8ngaanlhaw51QlDFrd1iQeB1MpP7h2XtUfwAdb+hukDbJslm672ztd43W+29ddt760br7cw+qfAsm61BqzXV3ToztWuo1B948IMPfmwftNdbLiysdUz4Wjn70mvhB0t+GMWfa7kOmQhQj9Dn1ncTmSCUDmOyI+Nnif6O+KrZKuhZso1A28jmHcXnVtVzINeb+msjvRIKdH9s1eFgqw7trBZkvbV4NQOgaqr5XRsq/ftDHhQGmzgomf8f+ehnO1c/6Neuf6kmf1DHr3MwfmT07i8lLq9mf3DCN3p2vb91Xs1m1me+380Lm7g7Z5w3U3Sv0fV5OokT5RvQt7+HJ3CfccfixIbT0Rg/8U4zNnTvqMcqvU3P94mFYGooi30nt8gnHkeUdZlaOX9JdEL0c2eJPXDZSwjzpG9xTPQsBsutwzNWWpVNl8UdaOJR0F97AjP1Tr0sVKicu1Vhxu34K27JT6yfWDxuYp60S1rzovJ0U2vztPJ0q2nzolE5si0+xQX0cs4Sppme4+9ng8Unbl+Qfdrpq1Evk73FIGKaMSwUJgdU0sVyvXggK0BkPglFueZOiYu48j7qapOS7JtR/dVBijp9oTEj4LjEG9mrJK+k5LYub15HkV03mw1NL2It4nJcbgNuSZhsTMBqX8Ox6o4vMdzzDYLN5ugxxXSsF3cN+Wy51d7LdJEn1cZzsau2vqmiCnJV1rtV1tkqT4XnJIIm4VTu8RBSf+Kph6H0z9aDmI2T2JxsOEt5LkJplJYCEeVnqLbzFezBIzO+mwqrfIV1BkoqCBGj0VNmbyWtEWcyb0+qPY4z9Q7Rz1YlOL4o1AKeSjC2dS2TYNZTdflaQyTJsfiVGolatmezmKs46v2FNKhXa4JXe/D+LqIOS6ZcAubDvrO/q9Qt2KK62xiKZUzByQ0acvTMqJunuVFDzrbDRjHdFDGG0HZq10JKv46kPhNQhVPRqayFkRbFmVGESAZfJMadLMY71m3SLuY0aSIWyaseXwa324edNvOJkrbOaEKgM0lHNuPIOm10ORFVPKOq6hCRx7zXj8e/PzFcafmRY+882W8WVfc5awFkjiZx8Snc8T7f9CdgM9HRUwuajJm8Kllm4e4SBy5abbnfpH6cy/toOW2eker/piz8bD7tPKg9jTfp9kKtIG9itkbTVpqGz7zNNoMmr7ydTrp5Jb/7Iht0Y2fQXoh6LckGNnmqXvuc8E1CebVH3vD5Mrr9Mr/90r7VCu2H8cNIQiMuBRguqIa/Pqg2WkRxXq8SE67X8A83u8fHvDz+Nh1MCulNZzDnW0ab+6gV82/h7o5v193dccH2xQ7u6e6ONwDO+2MOvzCddScy+DToqOKxekHtuOXanW4bgyq8+fLi+2x0h4IXt8V0ha1F9vhyuxWo7xQoVl28uM26CSMwylwZX76oBCn58mIyenFbkot5etFOLlDnRUbguMNs20/a1ygjvKPiLq9Nl/FOm7TdPNNuXtwjCswPEEvokBHkeDKXJA6uoCQkG/C0ySO16WRxzP0ad631AuxU/TJ9OeX66C13Tg8WC9mcqbaPVSgDe8CASYj04+3TRzubjoDJUT4vkf1BfKuhf/bOPQW3+2s9UjWt0s1Fm/Qlt/GYjru/DTA8jmbgmE7hcc8ASPb0Oaru1MA8pg9ZMfOUrJQ+onQVRsMK+GA0JEPM5Xou1225bsv1ZFRRjFVRvFUhe8XtaNRlHblgNfRawb+dZV7phd1W+Au+ljmqgHHxR7pJNuTcxfcRaMEnO0XCqRCIbYXtnUjIJhnTnc8KKnPQ21mciZKVzxYoHvHxtlX8MO8V4IDRkZ2ZJe5YXOD2GzTuYBxt93hQTSwlRbhxyQbwe1jnpTzlVSKfqu4Rig/S6t9YZubbf0P7b+OX8uxboqb7qt4RCjdtR7JJTE3SK0ySupvLXTu5a8td3FZ3yZS8SgQaJXRMb7fZytzOP4QbrEI1QY6UrNpo+IVEM24ZMA5z+ykzEQ8hJQnEhVIvW79HwZbV8rmWT/qMO+kunPtBdgdOuogx/DLuSMeDl9LHuLOzAKm6TIvbO2i0n0GjvReN9nNotDdofHspffwCDaqmL/ot5s3f6umM7sztWxT9OF0+81SxLvukbeNE0L5RO06XOzrm8QtVp62e8d27Wy6Eddu0hQdgiFdPa6h5TWqpG9ZMmI3JMs4+uGdkJNdSCawnGV1Mz5w3neRaQTjiU/CjVAHp2mTOTnKdVsHTpBe1pZ0EK2n67a/p9ZC62AW+nDpinl8vqk2ywFLu8gvOX0QdPH75QcX0hTs/bVw9qNdLf2STLRmC0quIN9No/5emq7fBcJCQWkiSIDnv7KjoldCZOH5HbzTGtF/zHlzZlbF9ZMgjSz16amLb09FPcBLh2OL1DXixgcxDgle7s8e4TNL+V5idFUL2NtES4nzZ8hBA3criiFr329lYtp3lL1JN4MkvBYdjVlccdw9OVOahsXloJQ/7eaOSQBPwhJRcst1ikd05NxrMuHVuzz7rKLXHkcK70Ep3gLQS85zAaY/4jqI6vCC/VR1matHtr493XgzQymrZ+sMymqWvWqRGrbQ9fGMwKaUb8WNuq994pmnmsqfdyTsKd3d8VblX0j6K17w9PiEz3a2IshZ3F4XkzIYjuUk35eez0qi8y72yb/kP+tPJluWHCQAtJ3IMRvxS+9f4hfavWixLEQW0z+bNidzxUPYetTNdvkoeHKvXFRPEdprxMISP9L1zx13sVJLTJWR4uJEjJtKbJGUv1/J62eYumre2TfiS3Wy6uZc3HJQV3NJaTqFQdF5x01t2zXOWbFWXHeyrHewkIJwU4lk64kdlj+Ramsaz5E72vcx22s/oRK6SGnIaz3qnRq+1GWOUXg2/bN9huU0aLzIdtyfZu3hNmZbgLykZ6/mAM91/rforpd1lKbQ0QcOERI9Z+vyZIvUx8eteJSpkUvgzkwnJbtb7U6nYm5f7s8eP3Abw55dJvs5k6xNt1hdTwz/ZlmdMPqo8XW9Sdn80TQw/s2BP4vc/xfYfqJ07jy9VX1kH4BknIHWw/vwymt4+oS6gqK3yaucevVGlhv/8wvdtcFvMEpxvICX0XtJxhoeKSBhzuUP/iw1TvNL4/s3Fl8ybZpiMM1WWvMNFblmkJfKaWAbR7FZIec9RNo4O87yiCDzkdkRM8YfixmuMZaPPhy/D1Ku42SH9cGdr1oKIiJJWW/w7AIXmt4oqG0CqsCgvI95ktAOTopnmIFK8YErqTLXn+3S4kjsI55J+QUE8c1VEt2eRX9y835e2WbQUubavRYKGs7YqTF9iY5GZR8cUfEraEeoKQuovMVRXkJO2kWx7m7V/ustOcChskNi+SXkrOzsg32K0chXkPcXb4nZgRmLqtrXMX4ExN2Dy+MhYhemUWsiOuJiOi+yRUww72mCRURyMDl/cflm0Mty4EnW3P0JjD0fcO6GmmEE66Io5PtKWGQitDIQNM3Cz11KBSO5+CZdgv2ccQsJly+0u/lWrpOSlqN77aO31iUSD7zSM8g2jvQ0TFSLsRQUN5r74snnlkcKhHkVPH2V1SmKMlVZR+6oJjc3iGbzMEvPXsojTWXCTAn6pl8SfUzg/ekoO0oMebncUNEyjbDqelWTYvRbZQ3Qmnsh2482jKOtVTJK9e52Fmg50kZ76keXFnZc9Jrs+sOReqBB5BslO7HSnKEAHed8286zD/RyY0SwzxM0Ic+sVaoz7hpjfdz7abDzn/nG1A3222WtezOw4l33l6Xbqv4N9J3lVZENxTnaxmPcKO9DnGGF6FsjtDiE7apo7T6d5Nkj2vCuc0QfFHHXlEJTbUnIJ6c72ONrsVk/fHPhLavIcFnLzjDvck1cQngfACqP5hkd3kFIIRXzbnVHjXCaGC24qx6EKKW3FRDHqyWaKrRbMHpeR5TtYAY6aOSAaAXX4yG2OoKo8PSbkloctDRSN0wM+dmk8Tt/jm2EGR7NikrYSDTXghO/m+TLVhRLCLybbykVxFwLYRRWMF0nN5KKYbHUbm1krxEWheWsXSXI8PNrHvFOwx2YJwIWq+ZgxtLIgSP3Hhbi+4qvMcRK3+de1RK3N1QBnXYaCyTsl6qb4REUqQVDnB2ZVn3qxGWox0X694u5mtdSz3rzKfZuoqvyD+8HOTKs3THrqDZPd7fHbiCPv++T9wuQNhB4u1IsnhmwlLyT74qg70jc/tjv1MiB62ZHK+XlqkMkRempL2iJOV+v3a/P8upyKE9T0qcDmlQqFkshGbdFUgc0rLROktF5p20ClF73SVDCSxiWvNBWOpJHJ3mgvTyuGbvNNBDZHtKTkTyKa/P5A7qBS0dC+iUiCxKczQaGvbDb0JYFZKQ3KaCRzSp32MqXqPN3ol+qL5Lyb221JekzNbWl/tj+ZiC/5I2cyALZHxNyqFx52tvCoc1wqe7btR/nVcyKchp3Z8s1An6y2/xTlXfz3nDejHNCNUtX3zMomQD+kAC12tEhGnFOuSbyYn/ovC9k3LODzjkzKj3rKiDtctEFLcghASfTIRnndP1mp5WsZT/Vkqti2Z9TsuB/trAHcOg9Uak8diKQOlV/iSOy8yLLaPxBlh9QRh7fqOFwueSf5gsPNw/TYwNs9OUTJFaRZgwzA5My/270Tq5CC2h7LWr3aLvQ8M/5c1Da7ijZdyxLm3+DMTYPvw0SeNkfe3e5JfWZSTIdqh9cmzcRzBVbPtBAKjcdPSI9Z4V7FNig+zw2KaxF710TVKUKV59vsWQu8m47Ek1QKuf20hsKEky8nE0kX6d2GImkg+MxS5yyK46dP9lj9DWFEtrgA+7+L0ObUxedwkiNrOfr9j7mIw80085fPM4p4kfBZ58nZCnRLRvPES6Krtj37iXnmSaEtLxnM6TA9N0JxnJ7t+f+PHqnQFL+KehJXoq1OgSLE7RFSt7kNwvkc5DyXhJxnspBLSZghlpf3PzOJofk8eTLPP8kGyqWsM8CMFrcMznO5rJ24eusyibcmB6VvYWQeRMU9udhxJg37mEvDZrKw81eZ1Codlm16lQ7LJp26iHP5VOW9bDOqOe8l9cRkxP9t+2vk8C51rP1PDnX/Orm7fnfJpSsuEcDQ3F2+O83cbt5hnK3v0pPDCoN0yWIw6Ze07XnL9/w1onPDq/UoOXn5nr9G9Hd4td5sBVGnO7P/L+lSHjf+y3nu0Pj3xfQFGx4eyZIRd6KtNzXWT2qsR+lyzwbO/AmcucCZb+DMn8CZb+AMVH4/HWx24aQk+drNOdSJe7z33adMXfGwW9PpKDmmurh1B9kzs345SHwbEzPCrPdAnQ/HicnATp6mezMS2Bmc+dri3+hP9j9EO3swWKR44H/wwOpkbexXbJDEDFvIcpZ8Ouuy6zU5+LrQqrwAGq79Am3Sy+JTyv0t7pMFPfzhYl60VndrtbRHVKRgrh7P1eM5Hz83YnmDe3usebKENpHMd1wx1Lmpo2k/eUCXpltJtsntLLSpBbp3k6ciiA7Slb5EVqMRD2mM+tFgwkMPt+d4qcNYBz+6c+5w44mmYvnk1L7uPM7vT3vm3PTktVclcYojX234i0fH95ONY/P1ztkn3fYxiUGeIUGKW0okf0sbvqikF8nEVyazY564FRcMtJodyywXU4rJ7wSxHo9VHGW73qJKKmdx5X1y2NDDIl1DVBjN4QjwgmaQ5wUtpEhdJVGF9KpM2n/859NtRwApH6foVDIDJskFEI+ul4XmdELu0kc7RbJRiVFphaIvVyV1mqUqUZd7vFEGEFKDFyUtDXOkKL0pyZHgSRmvJFhR97xID2STYEoVSwH9Ybkbc+vDb6Xfdr7q8f/wkyyKhb9svgjyUruc9t+qQ4jJ69fTQcwdnjybcvspEa3Qw2+o9Cm/cbEcpAdXDiY8By6ePswx1Z1WJ7LsoNfyDd1zDRP2prEji4vl9GgGTamp71CUUggcGCLAEV+t72puyw1Mo+d3bNeyDDuKvHbgmhbG2eqaTmQ6pu30PN2WzzJs9Qe/OAAprli6+uiAui4m31WgyPO1gMEI/cnR5elh5j0eCA4wAHfCfRsP8WI6VrqCsQada5BGPiewPYWdtBo/qDMeRdqUIPJEPmLED638SpuOqVbuVpsrKvT09PdSejounmd4Ny3cKPz9n1pA5w0eQasAl9ODdgcyDvmQCV9fVIf4GaZ/1FJfCpFPvsy7M9afLORgxa+TAk8nvHuQMVIZL5Nrvia+Oaueh5lK6TGUhqYObSV15fDRUdTqjlDl6wQ8NI3Bhtq7ydbmq2MDFarqXF45O1A76XYThaFKE3ylm68TOY+1PULn6gDKL3rJ0A8ODO+WrrhMBZCa8bUPNStyLthDi/li9AcKqS+fjOSYViGL4CYbk01fW6yZwrzvMnUjR3uCc0eDcUsLq+fH6qMv+P/tu4/ynRl+lAaTK6fEwkuYT1eDsYzrWLtQX1xJXhaNNy+KUhMPFnLU7bC7SPZLf52kp0RvPr4yIDZxxM+gCKEkIDvWaikjdld8OwVP5IjmubJnYMFX4IE/rkDBxy66LfcjRUW6N13Zha3mYbROjvCG5zwQEZn0Bn2tMx1HPLAlTukisqbMCUOczczAIVKHtcmk0w+C60ERj19kPv/CvTSth/aQZ/1vDgv/OpFLsRlaIWk/j5bqGwux+pJN/NBud+OYyoPf7ImLx1oIcZXPgnQGsWxKwQRE8YJFrxioLQYIUdVplOXNR3PUdxt609GIm6LfP/BzQvUu/TlMMcT8pfqaCJBS3xAp8GT99AWiREsNB4uiMHg6Ncm3SuakN4VBm3TBJ/Mh/nY7QrP3b0/hbvSncupgXE624EedaLb5WM57eVP66vwjlwmns/VcHV/P0g63CUxnJAZAAWftej791oX41rdPtOsIxKkPQF1EbleYRn4J4N2Lt91B8gml69qp2uQ0aD0spvRj5BNQ6JLsMFCHTA8m7dFDR50iLLKilHoL3DbqHj/5eAup/V/5EMv/60+swCl6SFTHVfjhwuJqzk1BX/WSn+LGAy+0oTq76e705IDRe54HutmmFumVSPs3TQFCvGTg9vVrwLN4BkFLr7QyT1sGbtOniX+O9vpBKz2kqxIZuDksLPVNvbSiUVlkQC3NymIXlCGgjMNl/lVHgkShCahGFuqzg5y1++JlFjYu9Wha4Q4+LrNUuH8PwjWqkGa25TudngtT327jj8P1qXt5wtN6ux3dMXpt1+lE6eFXk1FlND0YwxGe3FcUNUfT0nhUPGTx/eH9AA9V1R+VyeiQGw9Z97DCXYaHN4Ufv0/ScJEoVX5AxwOjyuT+VyOCICrnMhlUvHWV7dKGKTCC7xiAVNz7ZpSfO5Kl8v3gpuBarm1Yrmlavu164D3dKQJVcKdlO76u84M8punqnmllUiGrSqFQ+K5mhGdfav+ufS+qW9MrFjeTnQkNKkl1J9iBIy8SzhlR45KveRVklo/mBINLo1jcCzH+MiiXzVu+tirt2OqgMPjXDduR/nwKFNPTRkedhBn4m/Ni3qo52MwRH/yOeunbhVt+yp8i+osZe3DtLQs+BSKcmNDD54ZcQevfWZo/82kfcTDRKXFcq/hTcXiYDMAC4y0qaQaJpr6wRTSZSZCa78YYx3o50HXPCALTsT1bx99j/Wf98MUj3dh28w+tIf4ZD6SFT8CvpUx78hm3O+n6jgbpjkZ5gmcFnbm9AnfFNK4/nF++e1s2i8d5QgCnw2ewxoQfAL+DgyPHVICO9aOkwCpuk2TZSCCKteSTCS3lOohd+p98/j+1NnfdaoXcBwk38cXvJ6+zIQZvHwcRTQUXKxBOvXx5QjyZgZLPzaCDTZwin8Y64/euZCzyktF9d1V4oa+MY9fs2iZ8DDn5cHZkvAAIVL98t796ZAXdnuVAZtueOzuyLNY/f/uH+sLWngaegcl0HbPlo5fZoc53yBrX3EWFvnM/uhHoltc90o1XmBGCAz29zY9uOE5gQWGYqGKxCj8d5R67huU5rmUatgWsbMs1DAJx2I1NIOjHsaxAN03dsYGJYzi4QxWXQBxUsY8Ny4c+8gJPdzxRSjrGeaT7nMUWpkS+4JJ8cEU5g3Ttj+CwdOQ7QnHe9KuPWMZjRmWY4c70QXyX5I3qaayaa2wOmb47qSorG83n0brwRV9ZvQ7nxdp+AYdlPT0yW2aurCtVjLTsltub4H1Xttr5+HHQXRZwL3Pj0qx8vGt8khlQrI3uoQYwjVJu5sqNTbmeKzdvfyaYvdzh05I03TnRla40V81+5/GrkPLNXlj6RseqefbDfFz7Re/LMj+OqK7eRm+TqREPFADn/HbIVriUp7k9y1aOn1Zjf/nL9bV/aPdyamI6FaZW+Ofqnyw5drTRxEw72cxjftNRpjPz5d/oqJKZ4KQnCsgvu0rP2mYeKJHCA41nbheOiGjyKgAonKxlHjvZjSV7VrmGIjFPGhrZ42TyR3Wfnb9KDl1S95fvXsn7g8lG5cwZIhmi6C//Nv0Vi+sp/U0oWER1P6HJMLN9epXghoHsTX2np3Qc813tZBV0tUoOo15t38PieFcsK1B3HW6uzcy1lbm202somOJmR9patB67koO021pZK8Bk8M2VotrVLVu3czZorQ4N3x6CIhIy6lBG1iVt+DM5VPm+rYFUG5xZIZvDlqzcxry90gaSVZRTb2jtTSfHMw8VopxYRan0xB4axSPrWM/6Ww8Hf33KvQK/OVv6dz44NG43CmCVqzSoVHZ3LUcVkBChQUU/3lmaV8MTI9z6PTqI9ixSRhVFvmm/sPEeiuW/3u9ZsN5Xc+8up+jor/fE9eH3jbj89f4oyo3jrxMZ5WGBF7dHyW3xYOsq/b7RfEerg1XZzCrF1c/8PuURFOS7z7O7UTRudaJdj2jrVDALdaQqJdrzlRZenzPyQ4yrvmmsPskh7ghf6018okkFVJ+R+Flmmr3e9pqh96wyy4wN8chhJR9jTY6MnwyKG3zUBy43A2HmQn3yVoX+meSGpMriNFWX5mom6VFix9qHTQoohRb1593UINMJ48efXZsO2kCOld9kmgYTyTWtJQE4iqdpOkkyFLJXsSKIymEs2/N1OJeDeBJN+L4BwqHH38mumwlFvFcs8df2qOHXFZEew/SytVZeL/8jzVa93dL0NDoEYo9lw7cRVdm27lmeHjiO4RrucdoXIlPUOVLyC2Vz8NPam+PhStTkP/H4OWPLXbZjIJgsKanjFNQ3jGGuk++JHRw4FvU415X4naW1+qI2cYtfpbBUWm8g2bnB/GmyVeX2JN2GTkfrzJOWpF+yHr0a95IOzzMjP0yrQD6LZTWtzw48/TDlnVoey6erk2x1tCpF69KiNF+V5utSbrExjetYxiU/dWHc/tS3yhz0mAusxtGqoJe4t9zQn3ztcVn89WC+P0wX3cKsNOQnvjI6hPewPuHVFTftxNqnV5ohd3GXWxrjWbc96PHzr3hgKmnk8bio+Tmh/qoykwB4jb9psEkTkJcKXJc2Sr2Hqra8vcHuYQaSY0+/OIDTr8hgj5Ph4i+jr17m6O7+T0APK6uD7alpCfiM8po+LCrro2G5sDqMDvpPN+LK+lt00JOlOly/3uj9QtJPcQe6kT9rMHpdWe1HTRRtd1Fh50dR8Sh/WBme/GRYkg+bLqJRBfXK/Sdoy7OS/D5Cjc3qZGXFsa4zY/2vjPNZbuquuu2HDD9BAqbLSWmz+poTBPbETTSVHR7c0BEV8kNXS9k5AuydzJnkXKIjQodeR+RyWEmvjdujCgBndr+vKhH3cGxLxXF9OomEesS6M0njoPqmAyvp4OdQc16ogoanKbzo59CkJuBFW/IsJ7ltCe3NKndBESohTEltnS2qv2tak4W6IQ7pFTRfMj1ZHO1bYlLgriVKody08xwjR/OIvvsJY0TzFiZY1izS6c/rh1fy8cTKugzvPS+rLP9dWmZG26dPckSUcsKiNIAcLMYGee45MkpPZCeCIIjhVt8eLhf6BwrJndDu70CiWopKqwMelMalX7D33Ya3jVJ2gxcsY2+wqESqs6McP2YYXw2EVX/dfxrVQOhUkwwvk4SvnyOh/X9MwkKGggf9siLg0aqY1Ud/j4h5mukl+QyFohXFLaHXfxet9B1a7WnxLEPLtk7gSGMv6jVzWnH+nNmVQUYvCaurS3L7yiTbq1J1ydLeoLOqOHv1xT80eQd/VV6rr0xLcmnBxeNktXqtPpx9sNpZ01NLecdPEDK2COlbhIwtQnqKUHJ4RN9IOEYvsZgm2UxKDFWS5H6MypYhVsZB3zhY87D3yMyWmwd982BtbrU9HucmTpmuzbzNK5FRjsxXzH9W5geFtXkIAIr0RzxEtNOdVPrG4RxwUy9dnjKsUoefTqSD5CtID+Py5vsUjyK7dC8excIlM5rjisfEij7+hCnULg21vUItDJfSrUh5E1hSW4zSkyy70aTE+KIUD/rjqKKaJhn97fpLwSy5RVHELzE33O7FmJh3xq3a/JXSimXQ3PwYs6VqOMldcnp3KdraCtHfymDQEsj4NxcStPBOettcqpusuSBX5IyFXkrMRar3RHTv5pN+Jb/Q9Cr59vLTR1wdKmZbp2PuzAe9RYUYMuN1IFRTv+Hgs8LjdFRRpVuOMzLhUH/8sA31Oe8yBYCH/gSkcWzyXyKJm2i3IlnOI7aQ+VItklqdfjezWmZuO8uUFhJ+2NnwBWncHN/8D+3jmps0Rgjdtb6cSSZfx1Yf50UbhBmvkvV5tWWD+wD4Qoks+ONyNEoh9buTrgSumz0C6XeuWVUr8MNvDICTBfqkOjcC8JBQ7tQ83n6BbxFXvqRO4HP/0hNoVP3j2XRWyCwQLjIvtyo6ZJcJZSQHlU1ORGb5EFN5kOS0Nhy0Y52FkC/TPtNdpypAgqdD1BSV9iG88/7t4Cdn0Cj/VDbelFILTr/my+A2cW2evDTBJq8r+85OnA6V01TZ+MwEk+1iUWImbNd53vsCwnT4zGsBwpQAfFg5ylq6PSB+QUTGW+pmUEwuiGsxiXSBPHSS/DFyb7ZOKmmyaivlpUzSKmP7hUMpKt3xbLGGqJTM3dn59pO3o+PBj66ST5HvQ4pwwjjbrqk/YZ4raZ4q8+R3yH0eosLoyzdqW0J/tS2BxqVCyb3Tso0B/z5ZYZtKewGV2OGvmPWX5MiMQI07M4DXT3KpKpBkw/zrdCgo7zhe6lhW2YJWeeoKvVLRk5kf1dMjnwa/OPCJXoHqBCxMfHXdeIbRfylOBPG3RepXYpVx9NQe3Gh9lOTDVKxVPNhDsKfnrai2qyQMyEBYF4s/absRal79FMNfsJ/1vynVG8j5zmnrviwoLntG/3cmfIep7eLLFKZxODhwD78BMpD5tudwyqSew3q3lZREz9ZzVT01tLIaaP77UYRQmpVYv6TotzmJS/yzux6/zJrZKqN2fNW5Iy9ZGFZbR5Wpli/Ot9Z88WERg3izcjyeDrt3yvQeb2HmP8QKnwgakbn86fgYnUcPPLB30s/uvUnT65vFZDw/TjWcEWCOTTo/pWyxfuyW9hRCwnzfpK7hArNfVEu+ufcOMtuGt7uGSwel/GsI2533+WypEjn1gkLm/YRM9MRV3UE8kFbtruqTm/xLap8+88BFya+zov57hRV+Nw8OXPvIeLnn9C/59G36qe8H11a89aL4XIepx46+VDfqHlHlPuipPzfmro5WN7uIIKhm+tnsst15XeYpCgmJtyjkHydkl8f7cEqz5fKpdfWl5s6L7Otl6SsQCbvkk8jpBEOHyQ5hu7TzPOl+8/y2tHmDIj/WY9mX8C+V9DGHoh5MOoPxv1T2T5dQKSWnavfYbS+mG1LukcxKEnklW9JKuxL68zDs6csWO+9ZiJpW6lEpFqbNdt+1yD5nMk029VZmJSUVWWTVn2S/0KX6cHJ2uU4/to+tZCF3cwo1N7zCGf/rPb9ye+w6tuGYvu9Y/Maq7wUuHn3K7SixjgND5xdbncDhWoeu205pb1OW2nZger4Z+I6rB65tuyZLLVM3bduzLN8KDH7h1k5311vHpmk7nqM7pm57usmP7bKFYXu+H5h+4BieYQcBP4gAK+Pzw7wGwOmGaVm6bUsperQ8LzA813ctx7Y20M3jwPNd3TK9wPd137Z9PGMp9/rwk7em7vmODRRY6ge2YRo6B2Ratq/zk0QodTzD8j0LQzTRs2P7W+i+afoeP+/rmw4eGabDFl6gB6ZhyPdoAd5zVSkIYqPIAbZo5ziq1DJdkNAJdNv0TU933C103AWW5TpAx/AdXyhjHru+7hi2a1umbzumaTi+lDqu6Vu6hYlyHBDb8qTU4q5dK7BcPCKd9S10zBqI7Ri+7XsYlGMIPg4o7jkBSKO7AYjvG1LqBjoIC9r7JI/D2UAp5hr9OwBt2S7fPdlCdyyM3TEt4ucYbmCqFobh2PgxXNALZA+E7nZgOcAdxHdBSd11BXcb8DDxIK4bGDYGkqG77QQmeMFDMUcIdpMWtukBLnAOMArX8xR0EwD1wGcveBx4ppQaho6hY2bBW74D7ttCt0ACG2DBO7qwgdDAAgOZYCQwpO6aLiZSSl3XtDhtHgZqgP0EuuUYAZjL9Cx+0QN0NDPQLQ9dGqB6AMoZaCwtMGW6D5R8l+/c6IYrpQbMKHhL53eoHV23pNQMPA/cb/uBDobESJ0tdDCFz+/PgxL8cDL5iaVgXR0j1U3MoGkBppQ6gSurlwYqGx5GK6WQU49zGnA7LfDPUMbkN6y5jw6SKUIlFDYx/ZgJ8DYYX4e4KOiQAMd1wdYYAL+PrTDRwZyOY7uiHkCJDO4YPDD0PO4z9/hJauEZIAbsbUyn5bvgHEP6hBZxyZ46FQLYQUEHM/qGx/nHCFyKVga67YBlXKAJpQRKGpa0AOo+MAbdIFE6NJqUmrYOChuO6wMaRiEcYBgW7rkBnsxELslA1y3uO3WoLICsr/hdDzjbLniJPIKxqVIfjaHR+MsB8X3BRPdAXN2EAoO4eFArGdwxFs+FlGKKQDFQQXhPhwbWvcAyXBtsYwMpKbVtVARkiB60i6fmGnSC/kMPHkp0jiID3STWAaCTMGag9B5YEJPqWTZUk+WRRaRU90AbSCsoDTL4pJdxDO4EJ9qA4qgPcm80MJ7xA+oQF4izUIc6kqWgNeYbk+xD3Vh8yQmlnmFSAjgoD4Jg61LKT7HzK+sBILsGGmWgY0Sob4OpIW2YW0ta2NA0wAQKGGSzgqRPaC5MDvUsOBy8pvo0fTEmmDydjLCdVTwzAuBMHRwYUPW+7UkLA8Bth3OCxuB+RQOdMgG1BGUKu2dRRxq0KaCUY4KH5GvtvrGFjpFaNlkPuhByZnGmUAqOo95xTUgTihM4HikPswK1bIINLVUXEwZCQScHaA8Ms9AdG+oBmgNDhbaBOpMW1AkwSkSWGs4RCgMc2BozSok3YTE9VYpaAWggShnkzNAdwwa/O5R5MrBYUJTCbEOnwYBQUoGSK6U6ZwgkhMoC10MhsxSyD+Pp+ORWdGsEwRY6bDnmHlYIxoUBhCmj9Xxbl7lAC5PjlRGBRLCGNiZK9BBIJqVgLHAkLAhUEnwDy8pAhw6BIiAz0My5rnAH+QT/IAGwURBLw5BSG36OT5fGC6D1gkDGCZOPSvBEQEVMEPgnAx3jxxQZwk+gpqFGC5mAAPBr9o4HI22oPuHcQBGiHLJhg0wyG7RWYHKHJhgMrPsZusNFwnB9SjiGYQVqpqAKYbBcWB2L70XQR2EpNC+VWgCPCP4DaKZKYQqAGWgI5oX99LfQXQyMNhX+C5gbOkOkCRQiK8Bowez6uBEaYB6g8OgBQUTA5kGgSk3Xs8kGmHWqhwzulBmT1gaiYgG6pVpAresu7SUohx/bVaUgjIUGnEXT1BUnQRGA4x2frg50M+x9BrrBj2eBwUA3cS4UDaAh+eISOoQc85eUwlGC8YeCMBPXg6XgWvh5mGcb7iqIa2U4EuoCWolSaFLdOpbQAG3hRtAYg63hpyqphMeHScBMsUeLCk1KqfB1vqVi0PmxnQxlQBeHRhEeE5Q0p15aiO6BcoS1xFMwtJTiAh4BWcCA4winU5WaYEYUwMIDFcfJ8DtqgR6O4OfTsVFYYuJAczCkRYdR7CpLaVN1+MWgcsDRSSk4FOYB9AaDBDAAGf1Oqwr2hZKmr4t5FM4mR0PE4PsZ8GrdhCOhwWH7AI2b8g0GA1LqQzvpNjfQU9qoOTfQobjAkjpoAqJBbpQGhuoBS4I+mG1YL0fJGF8HApJQYzDj4GFd9QkphUpFe4Qd8MctPQMdku5DZcPzcOisKgrbEnuAA01Rv5gVVWrQeTGh3REM8WNtUgoehU2DsFC0YfqcDHSqDTgj5ASTDrTCB44RfA262OgRs6HgGNQPULeYEYBxk7pQXVQ9YHWYYsOxMnSHdodkU8eC3UgEkSYQC04Bpos8AmuqOAncyFcTLMoHWMA1DVVq0H0C7aEabMxcBjp9a/psmCm4nRAo1QJ9UZUgXrGp5hLojGwYUqGieNXCSYgX4OlRxbIy1FiG38mhIAckEwwFpaL0nkV1AkmHrEEHg5+Fs2mZA+FsaASoW2W1QXJyFyaIKoEzn4EO3xHTD2EieFgo4Q44rhy6J+4ZrIPyOCwSCT4IHU+Iie8qTOhqY3IYOZLyZkZHmoxWwBZwjcDJoIdwB/QimALuLqTT85WHhlIYuYCKBqafqsDyVCliFEQcYC4QC3Ay1gPBikX95ulEE8IiHAlPHTzuU1GiHLpNQYd2hQaDxMI7Qa++gg729D3aQxhD6Cw9owno+qMiHBhIOOdcwbFgfHXKFj03SKzQAJ1Ag3Oc0BSMKFSpQU/CYsQIvQe1lMUd2psOJrQfvAbDVHyAuN4QA0KLSPQFDqSCWgCS5tE/ChR/GTSlEGeG5JAw18nIKtSFzkgQ9sWHuHnK66Kv4fPUAx1ShXlUlCGtqK0hYugZkZvqEyYC8+NQRByONQudmoAhgkV0oAMVdMRCUA10tGk+fGU9MATaAMY0GCiNn5RadNigHlzqOHg8GU2AQUFGGbUyWIUaVi3g+4EMmAbGFGytShE1wAGERgE06jcpZfwNJAKxTRCHjKcHBodbSP1r02jbig90upf0EOA3OwbEOymliYVEuQE/QZlgwtiD/gc5x6dTktEEKIXWhlFnagHdKJ+ARjiQkTIUhhDYqhT+JoM+h54pJEvVtSW6MogN46Csx8G4hF47Zg7c7ZiegmN6jOLB3ZBPWLhAaAAfkbE8CMaaoKWjSvncNqiwqP7tLGUgwEAHigrRGniHtpLbqsBhLiTTpT+HsNuWUrgOcKfguQR8ictkRKkzf+SRIZnpAvLeliP5TGdSCxPmMP5yiY/OaAX0gK01xTM36WHrjFMgqtRkAEfBUX3a4nUzXqB9NqwsdMRE0DUIRCF98ExcBYfxMUhoWXI0B26klKEzrBiaSMTGWUUpgkVmGRjC0R8OvAx0XRQk5R1KzHboLemIVqCYlNvqeuIDSqkPkcaPsDoUvClU9Blcgu+YFrEZ5WRwB+d5VED0adA4UJSBy0JVxTCIrpejaOAzIQQWBZLw9CyJtVEKuwonBkzJjAuIZmagQ8UZjLQEb/RlSQuDVgYOPfQ5JsCip4BSuA4mlBHYHTOqfCj9mPEAfGuHCtZgQs7ZQoe9FUcd4hygAgystICjDoUKDKkJYAIEd0ywzajTpYvq0wOXUgwFXAc+0AHBcLe+GJ5hfphIhB6DGWWQJy2YIYEHpjOjQ0lXpVApDDsxfgi9KRoPpRA32g2DE0ji+Vvo8F+h83ymYMlQniE04D51cALdfQgJsy5S6tJ5px6EcwixVVIANqYHDV3q01sMzCx0GFaPnjTzQ7C5Ch/XoDEFy1GeqEaEBlD0cOmgcNEj/DdbYQJ8XcaFcBhgJ+CqZmbVEQ0LhKgPPGZCpIUN5jHgQUF56GRKkQJIP4NjCppoN124F04PBsOMGA0KffItdChFOl0uc6kwXjDdbMEwHX4L3BqQymWGVEoxPhAYnr7PWRRfDKWYYJ8xLJiCiV3b3UJnA9Ogrw9tBi1qymjRCRMNRsB4HkpUcQf0nCHRMFQNdKejy2xAmZmUDkbJmGlfz0B/siNfvy1tXtXcvpr510n+TVC2g4Jg5kwUsutI/0ydQxWRRPC5mXxRpSgMxBGkMbEU1wMAIqWAaVP6n2DcLFaMuG0mjKCWYR1s1YKJLmaUmVIyxZdgKQYNOsKTDZj2VdwAZ9FEgM64JBA1mtEgYB+GG0xVePQ1dQXdoI6H0gR7MY2lJ3DAIQg44SDA6JNHVanLifIp4DBK/jaa4zMaG0yZ9IB5UljC+QQvqfyrnso4HSxJ+Xp81wNjVdBN9VYwYmWHmtDK6Fbm01AK2ulMCLuOq1pAicELdxhSBNQ7qpRZqYCpB5/dGqL9dMQeIA1UZWAyVg6ylGF4DsXA9CxdwmT+qPXB/wYTZKjhqfmz6O6bzGOiokGvQUp9JogZDtnM5RsZGdf5RouLuWD2jLZPwYHX5TNE4eoN3T/Vpy2RCrjAYfTiWGqcNlPijAhAT2iGbVTBZ+AD6Ajx5UFrJW9gGCoKOKfoGOLpK+gOc6HMjzHBB7UVqFKAp621GN8wT5SBziw8cyZkYFh2V3GHQz8wEIfBsLxEzzGtwvjHJ0PR31O4u5Jig1Uk13NpKAMd3qjBeIgMCyVlKSzRpcmxw38hTyjLyySd7UiYB9mBaKlSiITHNJIuvkjgZqwOPTAIBjjMoGMaBGqmPMycMgkBJlxiFpZ6koB2qRahRhMp8CVQ4zIEzLFHvbKFDk0PzqM1wngdN6EBrAc1FjMmLumq+mQUA6VlM1/uMvxUpTCFDNVg8B2R4Qx0JkQxQbJ0AwVgKeiydsUko2hu11A0CLhQBVYBLSy6MYoDJE4x+YtunWtmpIneAtNLmEXoDVPiEJaazNsjVITKF+FUpcx8m/S2GZDpSvJUCgi40X1DLOfrWegYKCN6zKnJTKPQAOMBa4FOBpPZiAgsVQoRcMgXsKRge6XbmGgmeIeLQhbjtgx0+GU+WV7WR5xEVkXvcCWN+TGuV3qqVCJ5k7aeK3y66tNk/o/JJJMMiNnLQOfk+bSjPi2mq+TPoOxx0YSBhYkRJKUWg1v47CCwa0qMzlKHYu2BrWEVyYIZ6Bb0qc9Mt80YwlJ6z2AKxeF0gMsY1QWqlIEyI0vqFE8yTCxlqtMkY4IR4E9mZBUOBlOJNnNkwNJL6I7x6EwHwGtkGkPJDYJKi+lNQ4QWwqxwx7TQM7U9CVQdN2PtDXGM4FBhDh36TsJlhGBQECC7mGBX2TjDpXBBE9Dj85mfVKXQoySwx9nl0SIZ6FwVgh9uc73O0S3lfxo0eA7DHybTwQ1JKYLFgEkUesmwKWpEHq0xz53AD2OqLM/wTBt4ezZ5A5IfKO5gOAQyck1DMpBJKTwYWHGTphI+hqWg+7SmmCAurXPtNUv3gF4BxgQBhCLXE7mBxwjrT0PDdeXErhpwyk2uOjp0BzE0xQFMxphcKxC1ZxgZnoHHyxDCZNzKgE9Rhjkdm/zB/K7JZLcqdW2dQaekwgJTyYbJ9QRJecLCcTUpQ3fob4aEcNTIg4ijFRzyLxgeOLF7yUOzlMlCgxkAWWFT46TBDpgPtKH6DWqPDHRm47hoDWgeHTGFO08Scqm58Zhk91QpAgnbkC0QzGIofQofFYJok5XgzHHRJwPdkqyTy7lh3kbZCZPrUMxFSLRI+ZdSyBBzPU6gTK6aDdNmfkxnbsTi3PkZq01nnGRkJpepZxUVmlymZV4YtoYTrnwok16bQb0CfQTdk3ilos9crvkzK2xkozlMtiFBFFWITTMnLWCsEV1SvQMIUEpK2ZlH++tzIchVs+pyHQRm1uLKGP5k9Ds4jyaS2WJEHkFinxntSEJYlwSsn+AOwNSiwAZhDsaQlDKKp7sEOyCrOhnomAuDDhY4g0ZT+RZMfVO1U8G73FmhZgMmDp1yCZ22SXJSKGVMjEpoQRtP/LbQuewBzxO+KBcZHOV5mpQQMIzLhUy6rFIKDC2D2xmYe+MigK5KYWahOKgjfObQM9DB5lw4M7j+78g6p7Qw6Kdzodvk2TWeskIWhk/whsOVQBDDUqV8PRkKSRxKuCfZmAUCaHIZJFCep4pEweaQYChneCoet+0YqhT2gcfnUOtLdKXiG27Z4dIvd4XgKiNNEH1P1gV8i1sPkiiHQYTB+BUo0TglpeB3OpGeREkIINWIoKXhF3A5HVoZVMxwJBdbfLIMcXe4V0hagE6e+MCYKJBH8Qxn0qNzTNlxgyQfw9AsQD2ddj+g25SBTjPDJWtmMZn1UnC4lQGC5nNRFVRQepmho0NJAgtwDURFrRZTX8TGZd6B5j8bK9JWcwkeCNAPVNA9biFiTtWmI5zEASzwGepzP4PF9VNV6nCzBe7A8tyHkNEEjNmZ+YOVgJq3UyxVJtFldKDzlFjVJywK1AjYmyExV+xUKQNrUB0Ty70FbgY6118BEuDoX8H8qngZVsSg2NCU20w4SSldcZk8RDFcITZVKabVI/4214W8rDTB1ydzoGPuqGKILC0Qhls0T0wBOFZiJ2CYGNLRxgQwaY7KaTBhBv5B1yQWhDDDkcTOtulE0i+B6VFwLK6dUldDkuH8q7jJFi9H58IbgucgyV/RpUDw4pKhECjncoHMK+tMPnHlBU6Sij1ow7loyH1pah+PKuWOEF92U3H9Q3loNvODNGSUMe4/y1g+Liwx7RvIJhLfV7EHedFn8pfYcgePorDHHL3DHCYmF8ZG9clFIpspOyhi6N+s9aBKp6/vSNKe4Y208Ll2bDJg54JBkidgXsjg1jOEj2ByXfkzQFjtXWFkZnMbQQZ6wJwtd5DJthRLQXcYmVO2DKpbpgFUKTcmMGFryyKI4gCS1Obhw7LNBB1ks0YUCo/7+JgY2GSN4P/Sd+AKG5yCJPZweIoXazKZzZy2wgRo04KLv8ygITOrGBR3lOl00qi7lTZ0mCUA73FFDc6doywoU8wGNw4y22Cr9VTmr7ixhv4YkyRBYGdmlRtFoARczJEnwanwHgxxwNVQZs3BwIHypR1uSYOFsOAX2cwqKOjAigvn3PVk7kTDDi0bt5WYjuyiVD4BHH1TlhuYYyLNVD7NYy6Bu5a4aIaJUtCh0hym9QzmEaBzMx4297QwkcWMPFfLEty5O5Tb25j64sYRRXfQmot0MClUqabyCRxuvKPbBqVp0OXIyKqrS/YXdk4XXaugc5mRW1Ho1mBIlm+o/CPX66k0Ay6p+SpuAmGoarhgJkGlntHvLrPezEFzp6RaB5LSwOFuTm5LMZgqVVlSi84yCwNIGrBRdblewa1qEGWu5gSZWXVlEcmWtDhsk69iR5dbP3zZVmjLzjpXlWIGmU1wZAuNqziJ6VGPVg02Ba6a5WS8JZpOGkP8MpklTHCHOXSZLeIhiC75WZVy9UrnWZlAhAviUspZNnleCbcgGszxZ/LHzNPR+sFkczeqzBTdRHjjaGLJgoqiDKZGp/cHdUVu1YOklHtE6NLIkXh2NgvBuBDiYTNsY+CpdKRHjceNKy7XKRhDqYw4fU0GfgzYoX2SPHnAzZSM9hxf7XLNZNa55ORQRYDFuOKocvHUunAXxfN0kwwv5B3cYnMLDNcrPeWLcdcE1LHOiM+jG5LRBB4YitgwDYbAx/YUHCp2CDeQsbghU3mMnifBD7OrLqNopZOgornbi/lAlge6mV1zCCzZleSIZ+8kaw6BS2ffkq3B6FRpMXTlyz4KZqyZGNHV6ofBqIgMBm3KQDOzXmLQYeYEinPkKZ/AN5PVURBUEufpugv3X3KnE2wp9xOrNRqT6RBmc7jABtWfgU4VDN/Xp6Bwa5pa1XGpFKCs4EpIGlStJHFDEx0HXQ5cTNZLfHqK3Arpc3enm8vUyjquraI+xhTKR/GZ6+RqasCVfthytQrGZIjLPdaMbYCxWu0DNbjDCvGxL2tw2VUwOsGM+bgPkfnKIFmVkx3Elk397+tqbSzgQjOUANMC4IHAUutxXI4zZNGJy/pWdqfA38zb/1b67ftolXzo/fhbPJ389vK3//j6W1s+VPD1t5dff/u/eG7z199K6HoqZ44v7uL7CG624NAF73adVtvqtWA8W3TePN1qGXrkdaKAeWrXiyKnZ7ejCOTsGi56040WN9L6PVsXwN9noyxMZphcINIC5KgDPNt2D0Ksd91e1O3Qq2l7LbvdRrWoxeSE3TLbPQ/Oec/lVtgNzJZrC8CbP6pXVzeN6jQMT2ph2KiFy+ZJdTq4+rNe7j0etstevby6Lr8rB9/K9mN5Uj78UfbK5XW5/LEc9MpmudwrH16XnXJ5Xj4sl/1y2SqXH8vl8jIMw2YIkFdhFbDD8HNYXYbnYTgMa/3wMgyXYb0fvg+rzfC0GXZZeNUPfdb8K6zVwoswrPY/HYb3fdRtA8INflfX4Vk/7C6rfnjeCO/D2pvwXCfED+GbZjhq1v4M37TDSVjrhBdX4WxZ+x5exECjAVyuTqr99nmtOb2sX/v1i5UNFAj3PIyWVSs8W4Z99nt+E94va+fheRx+C2vX4Rtg3CT8q3AUEn4/HPdr7fCNHU6Wtfvw4jychbVRePGZ/U3Di2H4vV+bhxfLcN6sPYaX5+GiWXPCSz1c96ukyZt66Dcb788/nlRv/jxZ9f86vY/bZ+/t3nntfPjmw+fJRW34/erab5yFehj2r85AiYvwdBj2l7XGFr9pOFjW3obndvhtWQPUc+L3KXyzDCfNWje8aCR4tcPvYW2W0qFxf/XHyX378+n7aeusamOWroan/bCOuQlvmtUf4ZlO+G9k/H2OvxEO+7WP4ZubcLSs/RW+icNJv9Yj/OnymXH3a0sZd79mh5fL8HEp475sVBsfGqtm0r+MuX8+aI7eDNrTiw/TZXl59b6W4PLnsmqH5/1w0K9dco43Y2zWWuFFk2NCX3oypps/T6vD6HRlL89ApGp4VQubjSr+gWY3dVzUwv45ys5r7f5Vvdr/XA+XqLM8K38Med+W+/I14tHwHP332SasW351sjyvo/FJNbws95bh9bdQ7s/Kj7N1Y6lfXDbPG7WmXm2c6Jf15vJNEDZOasvhnx+b8Yd6c3oxWjbO6rXPh7X787f1cAoqNs5ObpofT0Jd7s/Cxvn5R7tZ7/tX9aZ+We6Hb958bF/Vl/Z1fTk9czjqtf6uvgrf1ZbxuQVxOVvHbxuh/Q7tQZnw8mQwvWqEPuDFZ+t+GJ6/n75vEH5zejZchu+cD8NL1L9i/WlYNw6X4R+N9yDSMq5/6Ncf/fL0Y63vX9eW0yvM1Lvyux8rwa+/vKz26/Hhu3B8WP726W31/F34i59af1mvNfug57nMQa95c1rrT0G/Zh1zEPabV6f1vn5WXX4+rTabjU9y75/VwjbKvv3lLc/P6qsG5LR/WesMLx6a52fgmze1fvzOuIesLXl/dV4Py+Nq8yb82Dx/03h/9a7WtS8Ar3Ya4v6+fxaEy9Nqv1l9XDYuTt5fuvVm/w3ua91+481JH7BB+2r/pvGh2ThvNOPLejh8UwUPvMF9fem/BS3O+bweNqr16tUl72vh50ZA+X1/foH7N7g/OezXTcgzaSn3mEmv/r5NfC8wphPwzOnpUkf74RuM6fSmH95chP4bad/sX0HNnVfL+jnohjpg+WZ9WO5fQe4/X9TDz+8ee75Z693Uy9efnMb7s0+/on/YbB1W++eYRvB/SNUL3cd/1766598l9OqCqh7/REc3VL1mmLSRdjUocqt2XW5TbsI+nvfDqsiVgo2fs3LYvDwM+jd/nPUbi7+WIFfzvJrInshfGNbL8q9fd2v6EPUu14c/PlerNDVS51zVuy6Xw54fho/T03cfr/3yY7ta6980w2ZTweoncFnv2j8p9+L30fX8R7V5dQaZaZRFyaNOn3BhZgjr2q85S11vltHBUtrXq2992BXBrSZ18VNe1g8PjQaIfH6mxsq6H6H5+wpHRSfCC8t6/BF1oFiuRJ/gX/1xCStB2vQTOmG8h0bzTHieeqaf4OXiSajwCPsJDYd2FXxJ/OrSj9T98EcY2jXow6rCOwwPh3iw/HwC81wT2VLjrHeBFdolfYOVfvgNkS2Rt6t6Mne10GqEdUXLutSt2Ze1Zvs007eq23z/HYbxJKE52oYPtWX/DDqzQb1aDc9TXVr/3A/fVtUcsqxbp8yIXF+l45a+q7DdjeVn5V70rxqnfcjqEvLevGkIjv0EZv/tdRj6FzIewK+tIHeQmeryBuO+UjpF9Mr5ydtm+Bn4A9WrRrU/vKz1Mfh++wQ6APASfY9/1Q+N8LSvc4y1ar//RohEHPu0C+cJnvzX/AhfpFltfjoEoheAjXqkzw1g0lYITNCleXFY9lsYa7V2rV+Vwxj9EsfP0HE36Pumyr+kk3f5qfzxfRN8pF8JM4bod0kcb0hL2A2Mn+7Wp/JVeR1DKCZe4zGuHzZvQJvNuBv1Zpv1zht//PHnquw7Tr19US8/OtXrzxjTzZn03W9izpdvqvc3Hy7qn5c+eGY27n+GqToMy3F4GOJ5EzTneDCuWv/zn28G/e9n12WjvIw75f7Hcrl57YaP38rA/5S6CzBhy9rX9XVzenV/FY6vA4P0Lffs+uHy0i33GxgL6NQkM8cnsFHDi3rjY3hxVo6g98JrqwzhCuFIepBljAd2dHlzBt0IBNqrxrJ+Xf7RBk/VD8NH77DcP3OoVBSebdAnfnP2vv1w8f6KMmXVlp8c2CM3o+0uZI6a7ava/fLT5WD44XnFOCRc6Nlh+2RtTxv952sKjs3h9cn954eL6vkv7N0U9ujzn5eD/vtfaGb4B9M/Tz6g7+bPqtW96tK+BKHGb1Y/7/uw3HwL3+cG/uIv7XL47qZ/Ct+y3vxlzTBoou9lXP11zbpf/dC/EF//Vz/XOvTSVfh3fvyLw/Bv/8AWQA4biQ3bY8dCdd+/fgfZrIluCRtbG7WpT/uG+55eM/sNym9V7EhT7FRd1Wc96NCeFUA//HE6bldF1ygbRv1QLy/R5tFG2dlhOcTcvAffXdtW2Ez0HO2t0svVclmHPbOsev3qPkTIhOdnjX4j1YdhohurYXkIcV9eXtZ+rKmnq/RZObZ+YluaDegH0LYMm7c8/366vDxUzi/tx8ceAFUTvVkVnddsvKnXP0E24wZ9BSmDXl43GZfdVIVGy6sT6P7Lxv3wbblPfQW92qShhn98acOWgGAYL+6h9z6WDz/GNegh4sF+G6HozHd/MOhL+q5D79Wrjcup6EH4aqJXZbxXjT7CKnHm0TeenVTfwz+iXg1FR9bFDyA9TAhS+PGwKjYHeqoawpcain2SvsVGcNzvER6en5YVraHPhpC/IX04+qI1aa/qNv5E6Fct+2LnYUveVpdL2AnqFdHn9YTO9epJOzwLMediA9vwF5epfUr7VnWX7y/R91n4SJjn1LWXgqPYiGZd4hOx4c3GdT+c1YRvhT5vEr9SfGMZt7Jl9eoHHaGn3WA8TZuB8bwRn7mvbImKZ/jv5nNY0y9RRvst+pnxCnA8VX3TfyBfXYEm4fc6cCgvwdiwOYBJG5r0LXQHeRtwBD+WL+GzYw7Qd4P241x8h6X4OCeK125q1ceHz2Urvqr2w9Ny81MZ40W/w3P5C1tHe4e/sKmj8vIxOK0v4av27DPQAuPos3/ABjzMU7U5Pan1O59uOpPy6T3wuPZhawkTpkNs+A0YnzgjVhqcf795/DQpB+crMFK1BphloQ1his1B35/Pa8vl47v6ZeA9+uflsuWdNMPzcrMFm0I8ae/FNp5Vq1fXbz9MTb/zowyGrdXAb+WyXYW9k7EoO96E//75Hazdw2X52315BRu3DGv0JSH73dp7/5T9097Sl6hX2/Hlh/mhf+2/Ky8/lQ+XrXL4+FgOl7Q3nxVvNBkj+O8vvt0My/T5+p+C6rUndTb2RvkkiMtgn2r9H2/Kw+c0I+Kbz6fgz/P6qjm/XF+Wn1eifaF5bRV+uqjFg3L/ZwpX5LJ5sm4/nF//XPHDb3lTX7Unl+/LP1Xoh4jHEEPdXHxo98s/t42r+rL//mRwMz/5pc2pLxvvmxMEhX/DhnjuRa39Iez/HXuzHDce9b9lmsr94cnfs2GHcf9vG7z6+2ovblWXqQ45r2VsWXUbU5034v5lUO/H9UTeE7tCv542L2nXbzSqMfTUo30tenvZrG997cYmzoAegCt30g+bE6tOn1sa8+/VicRyZTukriqXe4fQBRdvm42LYBk3Uv1Qpd6VuEyv1pqX+mG/AZ2A9iv4y+XhuaqX6Afxre0/y2/nVi2ED9ynvgbSzZ6r9B1jEcrVZ+ia8io4PD+pM8coOvjm3GmGb8til6jzUC+8ui4/luMq/HXYGAUPeNeuhuFp88yr9jGG5mfVd3hplZfwtx99+vwYN/BrTqphdQjB/qzGgX+1fm9eo66nP0Cb3KTdvDmf0tg+Mv9xQ/txUu8/RqecGMaeoJPAY99/xeHZ8tILaetQr9qf6xIPLW+oc0+SOUO7UTms6pfh9ZRtGd9wboED44hzPIf9bn6Gjbu5aC3DYb3nBWFCS/Az4Inupb0D/STPdVobT8Pz5hQuh19PYrBQ4DHGU3YHdTH2/mIU0ml79OlE4Rl8hmbzXGIO3gsdG6TH5V9h+LGB0KAs/kkTfE/egD7fzNcV49zTmjGEDZ1Ar4G+HHvPx3zcUK+yb9BMYopqdRmXESwDj7NyWflDZ/BNziR+Iswl4d6chsv+W1jEGWJbulAe7brEVrTf1Oe0z03y3s1FfeWHl/0JYg2M+3oKWqC/vsQahHlOfQmdfV67v7oOa/EF84MCc0n+oP0m797U683PjI8uaqHfhW6e1MSnvD6sXcO/6ffJl2e1so7Y+PPb2jI+q4f2p9N38/K7fh/9+qeH155PewsdDj5qX4L+8E2XbxpL+7oMjin/oH2fl/3mp6B2PcRYh6e0txg/4H2+hG/1oab/EeqPvn96/RiUe/MgfH/2/xV3LcxpK0v6r1DZOgW+yB7APJ3lVo0ePGzAEo8kxHZRPISMzSsII+xT+e/7dY/AxI84Z7d2N/dyLKSemZ6e7m+6ewZNgPYgR5pDF9L0rAbm0xb0Nn/ZvxNfN6epUhxMbrxy2U6UGDi8+oVh+21T+pQEebCffPLTS1LU8pAR5tCxQD/h52C+daxySSTOTWdQOE84SY4TAopVagV9c1qw8AEt2XFFb0IOTTujt27LNQI2u1oRwd2T3Aw7CsOqqBMGEXTPZbMmELM6ndaCcDj+OuignALG2YOT4gX1c6s7fDcWw7iIbQcxobRL24Zdeh/6SXeapp1vxvW027xd/CYYtDNQw7Il/FH1Lv/999h839GDcaYyaRgfxHiF0jj/VW/Wp7bz+7kktR32weuq3F5YH80MmabVNyb+45/MY/mttayxXX843ywutoH1R1PTZedH3PmzWcyr5f94xsO4SpVL3H3kEnan7+9RXGbT4orc5TPpnmRfgrBDEi6ZpM5JjgkDmsvw3dbvzAef9NFUeUCULY8fUkTj1HWKa4W4tcu2sLlu9jkq8+/w/Wk9h+OAcV4WrE4X+CDX3DHMcXb6e5381HF8osqZIj9dwXftnMvze9XeeCmV/+5J9uA8R8YtsgvCFqNCuTLdvk8ZHuFOp0rrXjQPl287F4xt3p0Y0Dh7/jdTcvxTNuzCAOUQDFIMAdzzulVaZMPc4DAWEr6BzzrkZY6HTeV3IoZyZIGMDx1WeScuBxltNohhKbfEuXlRpvhss0kLyiEhTkAM2EFfrbh4wpwP/AYWS8ISWxTkZpCA/wcs3AgKAQ/0ovY6B2HZL3MIuTfyLrlbBOWcg5a7uB3SHZovYnngEsXy8Hedehj/19A/S+VXKYfL49qRnMeVNc5Px6edao51AxAGuxCi8dXw7O8kT1oYJJrGrVcmSamcdF3GzQByHVob8IR5EB95V6axCFpJbo/itjvMHQHkmSVmybfq3JkOMA1z8Qw6TPOydUvrERRHXrZYN4LhFyvwOdaQ6QWNn46JpWFQPIFyLvQ0vq3a8O1UrBg00KOqZXh+PdSXCsXJkEnd4JiX9KVr2o5ZkByHcvxEMcwT5IGq+V6F9bNlYTTSPC8yT869XvXMNPlNYexFc19T2veIoTA3kU5RjAc9Nja+jIs8zaUUyyHuhctk3+s5CT+N4ib4NtCXgxH1a6/xHvHgr/iTBF8vEUG2ZQIxZlXpAuuTJeEkxcN8iMILx8zQMp7yYTmFIfQNrft2OI8u+F++XKA1R/L/YHPxR8zrroAp07hxDuWLibgs3vCpHPlSpumlYYN3hQTsgX0HOaS1uIoxPgUfFFfTmleC8utVkaMcNc3LXV5/0725WFJ73gJ0Kn9gyAsX41ehWA0xKuUoqvJ7Bx0jW1+AZkF+iXHncLlquLaEcudx8rNg/xegqbA9V6rEp4m2Ljg34Q2tLslA+hWenwOOXXOEXZRnNRR2VI02pDpOqNie8gWed37uwTgorxwQiJItU46T8h9Uh8f1GYJwbagL9re4vovTcX6R0QM9qwfqnvdjKR5PPXsstqaXp1x5zfhljjKXVejyy5mX/ZJf4iQ4iy/jPnCWDDoDnddjQkygz5Ziil1sBBsf5XXL80vh2omMB0OTcxuBp3LwzmKQe2CbqdG4k0+etweZMsfXC45PpDjNCbv7JQu9hi1SxboQCyMebO7gN8EWQUM+o6zkjRH8UaWMwPoE5easJ4f8JY98e53iE+G1MActSsw445pjwEFFPEyKXTfgSxO/0if7C6g9wrQufOLyiuzKoHyOnSb/X5ff0zI+Tlc470P+NrDvzjHz8eAeNAnoN60hNDMoZwqvS+4f5XmqetKTYgy/nnNKpIuO1QnMLeJBYKFDuQ584GLbZh5jbKpkJ8a+7cmMMxcFlQ+BXvlmGf5gZpNvxyk3EwwNY2vdyXp+mhKJad7rnkMXL4EN0DPfkvZpIU7xTBC8yJt7urF9lSduvnRAsrev/SZMvTrkbO7056U+hX8elI+wf77LER+soVYqKpaWz/qkcs08x6j54/FbSLPPM6s5rBIXmzymUsewjNKc1yR3c9WuvbEPG87lKsB4sTkHQNT1ve7Sv3EgRWvxLU4xjQc3XDbav9LAn9GtkR4MCuzrse5AHWifjLNbmzXzNWcT5zU3Zz9nFth+d/XY+YsLO1A55n3u3Eoqmv3a8Zz10qsezLvWlnPKTig7ndYcq89rv4oGE1c6xGazUKHYfrcW+syPKymxwHKs1jime85phxgOT1rvEo0Zxr9v0ZxLHXGsA5+Jc4z1Q5qwvUpWbGldE/c4T31YT7iu7dTuxSNsh3KSHufUdzQG59J5DbzyQ2x9PN/EdTsgGlNXed8y51TgX8hm4UGc5u+kh/mINr/saIDLfL2VF9XJaiwe8yWxSVtC1rKULzc4r085DOtcf6y7hrinMcU8lTeEUylwbM3rtZyXLpX0+sjYiLwIfOhbTVDeThCGq/wtx+HW1kEFuQuB2I5pRJ79YtRD8jTQPwq4B6BJieCU/MCCFDvb6qpYPqg3jK3fMUT6Lfe8pORJNIsvxvhtv55yAKC7MLb379Jwe073HDQd453YBDKooG/nBNDv0XCuBHOMqVd/05ZJeRLw0+nov8sl2ukS6vk9jTRPAcJt/cO4q9v+MB15mf/28cKbmdCDP8oVYgpqCxUnvcC7/bXuq1zgAdaF/lTom5PLXuaJ9tn+uawInveXCBH/Jnd7OkJc5PiL9gKOfYPWvwx9O1c4puxSUBxGvraEv9KkPN/C1Mdrl2l2ezRsEad8eWn7La5vRJz3dTiNLwc0OuUsrFtaLwvX4RgTzi3GMc530ppbt1YaL9T6jOoH8QEdoIxdmOcMug7vXSBb3+2LcapbhWNqb4auD3KGE+4Z2OOG5eNqt0+F1jkwl4ZrQc9rjXBmEnq4BwI63N3RhJhJa41VIHndFLyfo84+iB7s29rVBceQYh61jsh4GNSf61F12VJ3VFz0TBPWs+enTJgpKN4Bz5x/3e+F2PFTewJmmiQ/wblQEgKt7zmWkjOVtR/FFjglEiYrBnDV4HxxJ6wLcdL2KRBbWkOltSupaDgWckyVO+3W6i3UddntwMeJ054Szi0zznUNtT4ZjGry26MIAkuINHyYWo7Xs4IQD8G7Dnu/8AZZEcAfkvDD0F7OcxDnctxlKYzOD8+99kZsgYUBx+qs77rKHZd4n6iT79Rk5V5sAfjjRSnO8QdiRCdtMtah/3rT+XL+ti2X1P4PB/pedcuO9Q4edpQc9Oqw7Ly3zs/7P8r6rdN9jwa6UuZ8sm71y+9gnRA5QWt1aOtLSb6fykE8dW7o9S+Wnf4tphh6p23+Nndk5sSt1TLHH+Z4OsZHmGmnTePDnJIZF3+UdzJnmDcbbF/OO/sEaAMxfBEpD/exSXmQc9AphYE7ZbVXq6o/r6ns6VDmknIHutovFe6tAhaGmBJiZmYp5Z1Q+6+qyl4IEx3EzWM/bPs7nLqc4LV2p857W3X4l/HxPGfIELc88g9pnZDz5LxGUdgEwJFaQe0No0/DkjrFD2qfGewsT3kMEYT7HvhTj0sdsQCvT1O9tbzaK0f8hvLwnLTUCbvDvVOC1mEJi2txSfkzWkf3nJSU7CszBgqp+FYC2uFG/RG4SlhHYXCB92c5VYURal2K5LEm7VVyZ1kbIT6jnFT+pufM0Jah5gXSbcY7tca9w6jAGYFnEz5UfLdXTqf1MMINJxzDoANchb+G+CFO+we8Hf5QbMbYRWvrDQCYKWn9TwS0fg/8IUwZ8p4M9u28xQVibfT1LqdTThL3aM1A0v4rxoY6xVkG7bETgV0QtIfSI0YtnfaX4hoYZAvZfNqK7WkePKNj3+K05sPg7cgKr89scsJ4HCzEdpUTgVkQY69fIFyiHAtiePBblmIoS8Y4x/pu5w3dfhL4Gjd4zSrgfR/6ZiNAk6F5QLd9HfEi+0YG4aBab6f5U5YmtIUtgdj0fu8/6bT/C3GsaaeBk/cNa1J/2z90nAvEoBUp/Ity8518N+/1kJj/h/WK7r9jv0OSZ5Xm+8pj/Z011+qF0vFhpXT7Do7ZJACevM+rt/V3cU4433K0r7Da/M0+LBvSDaxmxfk91j0+3nfKwfAD3y/4UvY+AjIzY8mP0/HxP/IPoY+e8sP437eE8bzPqRLv7rCDcqZC1NieOX+KuXV1L9lWIadCq/PV59wpZCZW+aF36TKtNNP6V0zoi4BpxWbZMh360QTR2omO41VMR6dcqV54Gg6gazVZHqL+7teLMeU/N6IBO694Dui6ljlOL+QlbIPXlQOH9kmbiMFSXh6R/1xkbJE1xosx5ZNKm0MBmGvTe7mmgNh5778atGdL7R+mvpfhhiC84D1caP/Jk6YBH5bXDJyLAuX4hPyG2Pv+wlrRnpi7rPTGSUcfLBe05iryVonyaZ7R5JyvvKeY2haLe1qoWHY21Le0dIlFfTiRJAfvHCKsOrqXQBw8bMgn/n3KhUV7coI08JzyqpZN63GW9DEOp7msx3vY24aYi3yQ4LxpZku/l9n3O6uL7kGu7DGOaaBUDrydDy+/OtVvkI2p9sjpfekkwHmXf+Ig1rBVvV4mf1dscrkErVvJDrW5fQjaZIctPViUrPi3uTXw4ecBowL73hz7lZVjZi3ZPc8Dq+LB1xlisktTWGXhgZ/lvYw7AefRaf8ZqbwIhpAp5RXPR9JeAe/ugQfDmn7ry4I9rIoAfW12KGf7ZAa1POzcLMtVnOY44cE/a8jMoS+RCxKlw3yxV8kX1Y+f6AdiV39ff5re00VCy93g7ir8ks9o9H6WZDKt0fsm6H2cyRRdF7TkKe6f5rRkOokP7qWz+OQ1+iU2vf2D3hWWzOBeBjRZlMvibw73c0ntNJWgVoZhK7ihZbSsltPyGgrjBoqmiGI+BUWKLlZ0kaarIa5AcP1pMR7jMkPvdfjkD/tTl0gyL38y91M76Nzpi+6hCwmwlSyE3QL7p3QGJtg9RddPwf4pnqEJeiGG6mYm7GpOdZe7inoy6bC7dA9lsuhDFvezuJ9FmWxWiSCL59nCXhT0o/tkDnXnQJPDszzukdjzBS2VSL0UFTGK+lEFqEGkJYlMSyW1VErD6KAXqYyWymqpnIbeYJzQn1OSuHaa1tAfjNhpXkOn0CeMXDqlpfN7SZ/uJJ0+3Uma3igaSppOLTgQ9StJ/yrq1Eth5yCIBAk1GerOoZDzoaBJl1IHwg516lCXSMAs3J1gD4X6WreUiN6RD3p30P30XtHye0U7fVa0JL3j40+7/1LTwDANWyoTdjoXdnjX2UOtKoQdxv1M5oVGnf6BNkEwuWyoTfiex/c8ieG1cJIfKdKhFv0zFTrN7mRIr48KZci/qn6WYTLxj4RYSCoUeqUxh9pSUEJj7ciHQjl9QyvCnh7ow6/KsO8IxLNThmdboBcN/V4ZqKIgRTVdHSezCe2YkOWY3lF5nMeH7gA6jiHDY3oALo5TRJDDJ41PCp8kFdCOCyiiHeNBFmVQBCVArNH54MBOMrT0G/ipEWjneFAz3LeEhgbRLponNhjpsiwWf9Sbuht36ivppFEPlc9yYQx4+ubnJ+1TrWpYjZZ13GyUT9bb9aezTwb/wvgs8n/58+L59RwMRPqj/nLNRwT7uAYXuOpPp48R9avns+u5sVg+rqjNCJ1xErH7D9OIORneu6sXz04j7Vs30qST3uzV4s4driMmSWOxdFf+IW1seET06WOusO5OJ77fj1xGG+5kOo3056OIbZT3dfBvoCeDh/Xi11pQOH/QQGQx5jMam1R+qcpSJ213NUP9dHD6xI/cuit38BjxVv352h1pkfHKdank8La/8lyNDmDvzx+v51QjHbU+WPcn88nci/TBx/JRNYJ6/MV4HfRXLnPb9/3FcELHMl/PR4vhw8ydK5HSscx01hvxdf2pFZa5/nTEDY3c/jQ8WfJ6vnsYCTDci4c1jRe6PaRqNFANpw8j4iN8fD2fTmaTsBWqnmXCB8g/+OgHMatFZovRZEx/XeocevUwgKxvtQifS0cyBalPN4funIqhN4IO9XMxDqhi4pJYr+fUwI5BJuKD6kmw64iSFLcc3C5mkUPa6zlENX5Y4c+ty4VGC4iO2+SxxR2iHy+m00WA7l3PMdpKCf0zGj3SqP5gsXG5R2rg54s1+FVs0Fgsn0dYPbqe+7fQYXXeIAkObUPO/YNOrYgFPsdygkFYLlbc5PU8VKJdB06Yh4oVaV2W2l9l04pUWxG7efmlalomhlS2cAP+X+RrtV257LQjoGnKRrsbuSxdz2WjG7moNkwtYn2zm1arFblsRqp1u1a1cK/aMGodswob1FGwcdmO1Kr1atsy0eJlhBoNK6taKFiK1K2mUaElO71aq7a7WqRUbTeo0hJqlVB02WxXjU5NNiN2p2lftqyIbJiouFFtlJpox6pbjfYJ2sW9iPUFX6B2FVmrcWOygx40mUXj0u42q+VKO1K5rJkWbuoWmJN6zVKNNbowxJqs1rWIKeuybHGxS1TTZLqQwa8Vi2+hRYn/G+3qZeN6jq4Yl412E9+1SPuy2d6X/VptWVpENqstkkqpeYn6Sagocdm8nqMaFGxYXA9LPPLL0KAa+t5pWfsar+emJWuorUVMHFKf8PseVg/znoLFk+UjgPg/Iv8PUAxWJjNSwcjC1/xHX1tPZq5G75/Qhv5Gu+37t9PJQBv0fRez8RNdw3ofhmtt7W7Xwaq/1GYP0/UEoDd0YQeEVn5ktryej1cwyGV/TeUjYRs2vkJZivQ31usRQvV6RyfgiZiJHZ0sofdzAAw4OaGyV2eJm+IVWozZIrpylwCLvvgx3Q4XKzd6pPEDOiY+rD98Qiz82N/06RZ0pmmZ1Xbxx4m6uJ6Xm1WzeFUoYEIt0EEN9OJX/m+GTu9tNY3iG43u/mLIosR4f9QjQdDB9EBiF82FIjtRb7iIoZ4TF8gyQveOTm7d7WjiAV1jR8ViNJdIjgbjEb1oZuy6uRFCspFbSI0GqeQgORoN6QyRTK6QHaZTqQGe5d3xoJ9yR/1MItkfJBLR9xolxsFo5gRy3bE5eFy7/mse/qdv9IgS1Biw3mJ0f/DyIFKMdCLHETo/fT2abGLH24EWYUfx6IhOdN0OIv+OJHZHeV/PnztC4hrSEdsxVStYTF7PS51Gq/g3V3D248Tmw39PIDL/5+dIRbYqFp7+hMrBaGaEtjS0dCguVGgI8C9SrTSQ/aEb1quN9+xuiV1mE1f/ivw9+7nj9fr5mNttf0/Uf0UUjYfMgl6xczW7Kb4Yk5CXt5UBBeluMSS62hFP5iN3G2NW6dxk6nIsenT2zuOH5QiOAAjo9Om5D5l8phPMYztTPcFkBPOKUVNH2o+TXo8OqO31tLl/9JlkTGzP/asotRNFJWQu0wXpOL+XhvikdhZzN3a3GPA5y3yk8qyIr/jyy9gUwxpxf10kWDkJQaJHX2JHn1eofX8SdJtkEB6bq+rUVldROgE3eqO9Ufp4vTtMevQwW8bmfcAWet9npqD/dOPoJFhN1q6yUMK0E6L1Y0Sn9Wna7837c3VotOa7AJ8+OXrFWFTD/86iR0dhh2cLcqv82GoR+NzAyC9exXxteDw44nPGfW2gDfmscVBQj+EmFRl4TvyH2ay/mjy5sREd00tPTsKBwqMeIWsRF7EBV9Q7rAgAB4ohnI0J0TPZ8D0yeFtjphiFFOx3jA6e9vwfD8DXkaL610u6gwFgJy/sOnzQmBrpdX8VDmQ4gHAiR9PJHIzRo3gqnUiwEtCg0hu76e36Wvv5MG9qgXxIzA8nnrvukXdNQxMFI/fAKXuxmMbyRwTfdOAxH2vdh+u5LsJzhNr6mxM4/+smmnVXMXjecwI6puiRIE5AQYN2dZbm89f5UPTiFV9TX1dan/r6NFnGqP6TWX8Zo7PDr+hI8Fj/io/3jt4cacqyuQyX4CZwn/+Gx4sD3OBFQprqrGaUVqev8wHOvYf5Cig24uo+R/rD9UN/WlxdpdS58MzYSX+JHoxiz4dEr64Qye3r3V1oYWn1RwtbAXgUn9vEN5iJouBHapLGHDq8j0X/PYqGzxh0Ykea++O5xuK+JVYBZU9RxSIZTVRjDlVMVlSzp0biLjKNtiToHhVhTzGyWKo5eqPkTbJjoiMtwPOef6g+x6w1qs3likYg2qpfXlhR7cBUw9Lj6YN/W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"},"local_validation":{"passed":true,"checks":["JSON parses and result <=64000 bytes","All packed unrounded pairs reproduce every cumulative mean and SE and futility decision","Embedded baseline/core/table hashes match pinned inputs","Runnable patch regenerates all four replica and Solidity source hashes","All five sources re-fetched and exact quotes found"],"authority":"Local checks only; verifier certifies paths and bytes, not behavior."}}