Online PHP editor | perf for qUpZE

<?php //#Xtream-Codes SoftWare //#www.xtream-codes.com eval(base64_decode("aWYoICEgZXh0ZW5zaW9uX2xvYWRlZCgieHRyZWFtX2NvZGVzIikgKSBleGl0KCJZb3UgTmVlZCB0aGUgeHRyZWFtX2NvZGVzIFBIUCBleHRlbnNpb24uIFBsZWFzZSBmb2xsb3cgdGhlIGluc3RydWN0aW9ucyBsb2NhdGVkIGF0IHd3dy54dHJlYW0tY29kZXMuY29tLyIpOw==")); if(function_exists("xtream_codes_exec")) xtream_codes_exec("8XmU1NWxXTqQbd_f8Wa4uLjWJ7VitNTWxw0xIAN4kZul2ZCumwfYQ2J2H1bm0oFgM6kmpAHrHBagyCQxX8otW5LlPV1hfHJr3C1uDq7wAXYpnQUq5FB32DFs6grmV6Jwilh4uvg6QHcKVlY4l0EAkDd:SsnYiamq3AwwtU0ZLiDhRZ9Uexsxqj6bqnSA50vIooaIYa_68bWKI6gzs2y8M7H4SUuEc23MSDYsSGqORfEGnIdiycikC7E4mzQCweB944RhZb6UOJMSgS2dYDY-T1e87vOJXQG2bKVSSy7xc-VsORtO5i9STS0dN82CQZCHtiBCb0xQ7eV0WNJRl9NLb2ubDK8c-aZjjEEvHzuerP8MyjUelR9lUQg0goYH8IiLgMxDojxlgRmkunspGmbfkdXykous0WjuHtFGkkMejmLTexNS1:UlNfMnOiM0SmOPG0TedNxel4Sv_oXCM0L3_PxbDdVA086tgue5boDaBW_vAN8NDk9QRjvedFQDdEedF0o9bZTShme0sCIkwnH5w_p6ncq0nGjpb_OnhgvJm3AoQhgdhWgH6JglZk590X0h62vHMGmpVOZUFOIOhkF-f7F9-pQDbfMFWHs74JYoBGGQczBsLgwyAyoUC2WUAzEVmWit_001kuzRw6NHs7B_uVaLwoyHxaxXUIjqgV29gOavZfhC3lrCfEU0aorFCBHoUluHTRZ6UsgL0uMCW7xtgWU66F8l36taC7jJQUV84D5FoO9dfyu6wkG1kAQ8J9VrQS2sv0cW_kgS6QSpsV8NnXP6_E-acf75Zte9dv6YiPbeDx7uZMlO0RfK9uYgfzyC9EZSZszHqWXQadSYrAetGBGTu4r8fCS_d9j_hrm8VnV2qzbVPerQQ1LVhPOkZJPKs9ZTZL8B1cTjuuRPgsoepajwjp9SM1f_8WqKjRN0uACrULWh9c79Ko2MWBOnVxTlSmouqxBCQ6_q6B1oWa5qXCd9I2DaycbvprhNwuHvDt3jC7tS1JWKkwfNq2LaTprDGkvUVoyVADeDAggsNzy3X0Jgq2iCNODEfWiExGuhVNXEojnM_gA1Is1AaXsgqC-lhnHOQwgF-81Cvk2LV8gqDEj9BaDWaU8JYDHe7fqNx-OnwNnFB1WYBEwL2paszSQs8JpbqotlIw03BcaaA86hdmwNYSUYlGm72n48fpzL3lSJgma9OE9drNJdiGi-zjNaQodN5qBYYfj0qin8N7rSdGsGaRnTq0xmqU2vn05fA7tr8TyJulvM6scxPP4agSZvU9oLuEnY1qW4tM56l8LksFU6CYQHx9O_sKylTpNhPlSMxqL7dETbaW2KnJeMV_qFm94nKNKc25AbDtplXiDptGsuOQcnrHjaNuxPHfUp9Nncz-kP8YcfuDViiZPNUGfpLFoz4NGIqtAAmqVeFYE3g568QMxRAMrzHcBqjAuRwSDuWnm79zBHhA3Z8dpujDct6rwlM9Pw5D7jouUrdEFF67ZS2FAronFZcsI-MBrQ3_-4N6e-zXWle3nioR0NxzArPUMucaE70Oh5i0aD6jq5-NkWDaekViVGUDw4tUwg03PrgxeSJLn2HPvf5Muym94wxgUJJA6UBUT-4ju88OtXcypV0Yfq7Z6H6W2xmeP_IUZ3lkA03NctIixsZnRmW25k3PaPIQ8NRySovjBAlzVzps1OTtt86aoLQZRNeYmIPbgKDTDgshnwR6upyhstEoh5E4:RHfv83ioYBBoilK75T6L45t2koNPsr5_IelfuduA_hNRdcQPUyc4jeNG-ezAmVvm2p9aqg_CllZgEwwFO-QMOYx_nOb6D5goDnWEiYBgJTkURAxdCUrwf8-x9MzTaJTNDgmw-bzGiM7dZM5vJrHPhswFlAoHj25e62gmXaQ6KhoG2v1bXw_TJtqBqshLIneQCRyH3OMWXxearSbhgsFjWTLTSmWK1E_0JcR3vzl7VJ93Dc4LAVxBFgFPehr0cDJlbqVsP1K6k1CVkafoj5CUtNB_59JVscRAs9NyiPRRQgEqdK-HQ-zlHr8bxj_3To8u2MKmP269hPn4RiuYDpieau0iEK2Y5kOqqR0hn8wGWam2Kd7IGZGNuE7IVXpcQLZ7gPHDxGAoZvk8n8hYHXm5x9NN38bIj_9iyvexAlEQyjHZ1N5j_0-4gFMSBbKhlg2wC-TMNT5k_0Sv1diYYLPZrGuGSxA63np8fgBXEKQ_XP1Yrm0Din08iXz3u4w_2Eg1Q3fix81-goSNqBVAGSWrET80BAvibw-klIX08xYcdNPAHC1KIz6uL6ZIga7ROwNQKmSHiHTZ5seL5I0NwxyJgwoQOBO45Csp6wAVh78yhpG1kIiAYgdyd87Q4kMEW5mBIu55r7I2ftoI3Uj9D:HQs28cxnmQmSsThGOM0YdDigLQWIwfpTEOmiBoVqXj2tcwQAVZS1E4DFPkiSlM6sfF0WuAk-9VCJau-ZH40qfTkESzNI2od1XEModbbmgsVbQGeQ18lFPKLgbuBadTiHMFDVA-tWCPEKp_SLHnLUYOuaoMCepYKF4i1Ncs4s8MTRWG7bZ1IYoFzQ9Qr_eUUV7nIY-Tss3TiSHpagGch8YzfJLsZUWsMFpGFsB1XhauUaP1qOzLYQdobXC0DexJSMRv328CMRl4aTzPROK-_wsDYXhwjZ-qs8-bj_oHG7tVFsiC3uFqLxZ0DKECK1CUvVy-sxQ_mDTk2k7tC2RPEOpbKV5YOOUjwMAbrubT-p7ywzgSdxFeSSelY1xaQ8FPrmM593UJtDCtYcIZnJlS73wRns2G17A2biqWbi0pFjoFLM5eb6snHguMMcrFdCEAuEtODJs8xwNak25B2WVa-11DWIUjzLVfGJimE-G00inSm0StLw4ZdCZuR9TP_t-aTlQGSICqAb2agP1UAK6c2jx26UPS-kr_VMfLIbfXoyEkaGnMN65DC9PmeEL007oJdQO4Zg72vh3feuHbcsA-l8mraf5Wn35Fq0ImdotEpYaIuI_pjsBwzMVHTJYFInHpCVkFZ0EcrPqn1P5lcnzOxi4RVZ0r_qupTrQORlFXlxJXarmoiuLG-uhS13TsSt2YB5a-isi4pyEaGiT0OKQWHsCtXEOYlvh_RqEXU2iU_iNYJDzHYVzIWRItRmjySNg55Nfdk6vtt-ars8Ekdw5hF5ZDkMmQm4K1cT1lazHVyjhUyqsNzDGIsOaBpWjg12cyJmf6mP-ULjLgWmUWeA0nppvB3QYTxaaoOHPrqsEfnTBy7qUL4bBdfO4QBIppdyLePpjH1U7RxgtT2KNGA1c74ERiFr9NlTWJLU9RBXmTXD6rLOdGbrP8v8sCmDSUuhGwtf0HOtskiTJvW2U9B4:2lQ8EHn_6GvWAVm8sLHSOUYdzRHGm40FrFfP_PkD2Bziv5lKXv27yFTugvHuXQU_7Wksw1YeNs3adXBCMcKIpuS_Eo7uRikfPojwYI85iab1mT_OtFeG9fs2yn6DPc4ziXrYUpHDAJCoVEisy-Y0zvdbpq1gDyYHLnn2AuylwW8GlRO62Qa7rCzQt5VH2ZEhlgzzMmkZPFlj4eLdHTux8icuo_Rzdz_Enw592fiVOI6h5BEIwcKWuQALmxfEmSfBKshwa0dLveq2cWQMF7ZQzYtESU8OnZ9Oka5ExR5COAZ2U9mvP3QaIA1rU7DMF3q-GmB1nBycK_Tx2K7ztg2I7AZ7LVY7cFQ7MvWGPP1EWdRxN4RZ0Ddhxw2X04X4NLbos4ACcwG0xuXuYZtpC0VIsQ2HBxsgRVKoxHeOyJUwn:MLvVC-u1s4yh29Zsp51lKUv5LyhOME5gSjBpwvdxosBM5jHATYsF_dyuzc5fc4AL_zrYaCmf24Q83YXb22vX0P-twxvXhQVPyGvl0fBs_ytZNpgi4Iwm669ovv3IrozzGUAiAIt5Mhyg8xwrfMBUlrYgdMwXjBTkBPF7Gr7PLSxJWsievM2RmTIXyJ8H96asiMzufYDsRwUt01t8u53lLotGxQ:2hcp-FNnp_xYmVK26gp4YOo_3_WK3evvTdyLJjcZiuxee1fb4EcomBNThUnyzzILTRbacsuY8_Q1MG3mqdgtMQhFPgWIJ_fcYF7VItgJnn4amXkLWaRbxZkxr3fYY3BPFSaMfStUo0WazWQHDjfFWQTLQsRDb_KWXk81uG98cnLczt8xkL4PB1UGsZhqqzSaNvol2Sy2Ge60dB4TaULL9OiuzIQ5pGQyOpUg0xXnf6JNBtdmGQw2WtSgqDiIPM-cB478xWh_UewLrWv_PioKtTV-EkPZ0Rs8Vbgdp8v39lxgKz40Pn7ErDjF1L1cVEG10hp67xRvKrshe13BguVLWa9E2T6lcV7h1zDWcLL6yWZGDGnPwbB1BO5bAfW8X20rGDLmJrn-HG1R7UqU6WZevmKxyBXyyub3hoWbc9Zul49vbkB6iKK0AqoWwIJp7IcSvrmYZjK9zdYLPOZnOVjsPhjQPPqU:HBfJCT2kXgoAupfSn0UA2P4vBLfb_oicCXU-MK-T2ElX-jn8ifKSG45pEH-32rh2hV-R9W8_bqZCz8L5L03nRpFIxNjzl99oaHOiTQyFvTqt2v-xhK6HZmxo70RpxV_KNQ-cv8iNN3HygpJCKBdB6IZVYZAwKHZLZ7gERcnwjM4tAFebxYXonSzpyERpkweOKXxf_JCJz-NcTD20dUvijD3dZwtlgGqbGOhhtCJ11WvGsvwdzjpGd6_cHr29iHU8nK50rCHpAwaWFEN0gQIxxTkkTnA3oFTyK1kI4ie--wUdzwV4zLrjfb-K9OyM96OJowm7DZ6GZAc2LqeyBTijY3goYUA2SjDc4YIgMH8p7FGlbhTPAtHEC8H941Mxr6CJyhDl5ZIU3sY4q0JhOxD_h-JI1UhX-OugwzhUZgTtzhP8CFOlsiqOpp2meCklNbFn6YuTkeQZ8pkAo__9MPTy4XdBC87y6md_ePwpBzGDLbW6aXK0IxHWxVlxQK9ySqgAQP92ceZZ6c9Sseadzx8CWvhKO2IgafZUPCYDnwvj52gwOUdZJEdp2VMTihJwbclpjofpIhuhe4eBRUlfhCXnsJLKMDw8qTp5NpfOaYlmRtjAAeIXAxu0W3dEVLAKQNEVjoEGVXh:3c0kxF8BYbMT11EjA_3x1MA3QXo7ysk_ZptYjpXUQfzgFHPAjB1QMBaVefhJueUudM2UkNqlPKD2pMIvDluJFrRAjPlModcH1TIzFxeufYgqnHjeRs1a8gEyr:cusos92367NjCp3lmCDiR8KyNU2nfy_05MRhYT1GnUQADpxj_R2mlcPefq9C035uyFQYzIHMbc090cVQhK2VV-Z5mBd7VOKZ4oq15dCBoVTBATmIMjjK0VakJtIomyH7QHpW49O5JBH7oRXFlMeqIrxBrEb0aCnphT5Jtte2Ym25MuBUSA8k6RtFvSxCPRoFidum1tZxNnKtghkYxhCbKbiFaso8W6SbGS5GurBoH6ehCKEe9iVFNnq0qZr6KbbiJye6lDomk5KIgcRHCf:XCDQBu_MbVa2A6ZXq3i755RbTYUqy259jf-gL-NfQItTuT293F0ingrnS-7osNgJP-HTYdMfqF0sVvWWsLfgz68Dl7K0C6dCkHOdPRly8O_2I69HRkKCvSQMncOHv0zWHqQ_QOKKFBPb0YgiDTgsS8YoJHds97svpADpSubUu1ilTbNEyxziKL_zIh6fqV-pp6UdxWFXfWklgy0xyHXOaqulqykLaIF7has4vBFJvNiCvBQYfIV3ZufEGclAFtjqF6oOccbV_NY6VuxeehLKR1pqJcby7UNBJ5SCbr7n0zohvpZ2tTKdpOR9AfWytl0fX1GqDrnOzwjlAlvxnN13n3sZLZsBOO5Fi4eQ8hF:mw1E9dwao9AqQfgY85jDieOTj6-ecemj7F7t-xf7bm7REyiN1hsxBRigZgLHu2bg4qffjkOe_VtCVs8V4OY0iZP4EHBeFHJBf51WU40L6vT9tEyrQpjFJ0rzQSadRtjb6eHxPoRrl-FWEf6ewR9aNcvTHwDR16WCyHEu4iUOong3AtrcEUjzOgBXZPrmGNf8CJ6QFTrP0ewGcnf3tylu5O56yP1WlehvXa9T6SM6VMEmXvFSYi8WQabWeOVshtal:2zXOsQ6b20PSH4RRUKFVkZcyoJr3IwJkU4-zz98xUzSzmMEnYDBh8NSA9VRwlDg4BBMHSoiIiKDyvQ-_8ecpGGL47ytKrgnSxVzFMyfKUjiZYMr-SrGKwz1iDPkrYiOXCL0pr8C7ysYMfq8fOYiLldm8Pewayncl8GBSkimcjd_Bgb-LuHc8Vj-9aP9fO83RTI12k-Gu9prDxr-I63m-f_rF4Cq1SkrOOcTJOapv0Guo86kf3mYKs3VFG20Ph7CVorDkOIjIb5Qa0a04r2_AGg45KA9z-tbN6FKhs6glnae2kZrkEZF94IOFJiX__jpxqo72pGeDh786y0A8PAmYhKOme0rBTE8WizoivbmWgo0W1EErdo_mbP78gbONwptbzqsJ0E7qfEsndyVtBEbrphck13ZTPwlraxQvGSM5Sto_XQYh6k51EwVSnUTU96Mrqv9NY3atFc0neNWAz8z-hqLNa51x6dI4BDCr2bPvr3criUSzxz5LfIOD_iNcwIrLd89orl4oq_6XZtWotncd8dWh1oVpTgjYYnOvZ5NHSu_9_iI03n1UCOO2f9L25CAJcdyGBNy_Isw43IKF2PUoCedng8A18q5GfadrkUvR5yVXGYDlwPBwEmEaEoaWEXrusDf7rWcU6O_pGZ6bfToLaOk6125AxMpa_y1QZFz5dXy31qN-kbP08_6Z1civ_l_u6XxiEs8UtKJraLXW94OKc1gMpNAtBsYZIiXWlNUFq4OT46oKISuCoxwOsteMPIlSO5rPsVuB0MeBBqRswBqqWtDmzgmrUUHa6XsL_vypAB50OSvOjr5ddcaZX2V1e-rIjLntiyoG4YABjjqtnYC3h1VO6mUwZ4J1Y5hlCyrpfVwYBS7NLLKodfHqHZt5oguyzsK5VpWjIfj0QbHwsVCUSyqADHulFfTWstbdCdZJ:eEyd-GZUf1109IQmtXXwn1OidXCncVJtv8TyhChCzMBGzq036WIV5y7O-4ahVAZYkg74YXaCX00AmDS5XmHsOw-USnmWTsy1C8p3EG6lC9gKHMviqgmmXPStWnQAk6sV9VlE0jOmfu0iA8embf1pirYZEYBDMuJbgnY84KEW2CcPo9bBktrKPTXxq1x1:zl96vrZBOJh1pelOE4L4xIuypyeYqe9GeaxngJHgs2kiun_wkVvgCr3fXMj1ANio7c8P11cSNVVKY9LEZjXcYAPsDgIMEe1bdY5hJycdgJrSdoMWLT9uJjUzog0QUSk9k1PfkpN63VTbbFJIdCINqI331MTlxYhMc29IucX2PJghBP9nUqI6d7978xZs9nW:3W0RsL7xZsQfbveTG5yBbqNIiro4Zh9IIiiO--ZE6ZwimHK9uV4smXEOOnCfcFZ4H8t80JNRQ4wFrbdyCzD5widzRfgNt5NR27hBkOWlARkiEantlKREcautG7I5GI7zM1:QkIKE9bsmwC7lRwOXKvOqxUDkSNEVI11e9yTZQ21rf2sHUSAUiG1zLc86qbBwWiS4CDZOT0eGy59VyUY-_N4TkM4zQj1RUTdxuEgqDiAg2bBBTmxPwdlMLaMMQAH2CYleoVqZ4sreWkxpgfGc8BqllHu75et67nJc1DCohD5JP2uzQZUxtHGZhceBOwBYKG3QXBmVCnVGkmJa94Jfoxqu5tFf1Ix7VtWvxRsCNCpeJc5Bgg3ndqMEJV_0ZHqPqVX7N7DeYTvZI7-m6gaWlop3fkgG6OKMUcid7rwuXE5K9-typR2mtKqPzSBReObHVxIz7y5yUErq7fMy0okjVDt1YMebmLIclB5Y00KEZOlZC81Yg0mzplPq0fYKSoRjO719fLNCw2nSkaZfTsS2175mcF7bUyE6mHFtyZZYqPrGOGuMdjKbsSyXPXK7igoM_T975QHdOtCKLJdijFdrtzWDNkjtVDeyJH_y1QRFlISsx-3-3ZDIBKxz1l4okO0mF7rPQKY-SRFwWkAB1nILR9300iqxX2ZzPTfCPLWtWRyR3vDMo8G59GNaleM8yIgMnuZR8VGfaXcZV61Gm7CUgjp7Fm8sFTK41dR5PsEirG:pOAmEvyIYT2-K6gRsl-1Nsx9z55udv5Ngp8_lNeVPsXSAT5JDPC0FSe2wFiYOQ5jfAjGuXSvh0kYC_spKsboRHah7Ve0MtszLOuJYpFoDifIPdRiaWPxuH87WwssemTn_6fY1w5x3Rh-cpQ0qpNDRDWPMUapCR7yWwdvJjFwQ6Ke8PXmHrJhRgtH62h9qDBQ3isKX1wX8Jl3fbFtIMA3l1PTbYGUK0pySrMwWUq-ey9b3oh4i_ojmaO9nsjPDVw9-URtUIw5I5tQ_-guA7IChvkTSuWAz7ruc986IJr9fPerQaZR1IZSyQcUaChNTsFZhFHp3d5kRyEtrUV--hrgEBsmBzHmxBc32NVffFqYQxL3juzhWjoA6dJrrbzcHv7nwbn2DPDzhqMZ1W2WiTHecwZLfXQmXZIEkuy5f8AcIcORZtXw3iF3FsaTFb8PqPPSSYt2nKyn-zGo8f2NqyMdnfmtTYGUr-1wlqMlC6_He4ieTb6OOmN3wNIUFpvPttpznfZuUznY9_B5TbJlSoJXrvWCmjgGUa-Mfh0bSIYJvCpC0dCYtszs5LCcXg7KNXBiaeUfpa3-zuZ1pwrGPJbdwEReFpqeId9XB9ca1BrjtdCCoF-i5ZOZK3UIW9dLNojPe9XPYy_ecCy4FxehZ9rr8PDSp8UamN7frb5TWzb_lD-no09tAdycPY_dQvJfa4FkyQputQa-qOSumFiTiSTcIsvXgLRJVhNBGyriXynIvlupqI02K0PxkbR9e3YoUdBPeRxTDF3vqEaoVakcxWFvPaMLZO:VSkb8PRXQgB5iq7Iq8KoHTuZw3LzkNxZ_lPHjxXyXdOfAdcQu3Gi1L16BH0rx8OF-0u7mjKC-4R9BQuS_1PSRomcXvHFq6aLp0PzpjdINqYxK5nIT9nU9sWvU83OR5wH4KqapNXyX0DL0IsgF8yrJV8M2nIWYeWSl9M5cbFu7V5nvN9brdVJaIXZVITr:jQXWZpYoQvvIzPCrSwV-3hAg_WhbhN7Uy4e4VxuvOrPU8KQrqu49Z6oMtuFzLCSwLeEfS-QT1KOo-MB0VCBs5O1ghpnkv27Z4BFx_-PGzCTirRj6SmHGnO7g6FPFMz9_A-6sIiGZ2UP6CuJ4MjNc6nsXUOfbbqU_jCD6kUgKRdLBDh57SttCGOGBhXYEw3CVmDRQBflp1n1HpgzjBYxXejP2yUoMpm6ZQQGTKAGfMpKZ_BewcSVpa59Ik3AjF3gQb4Ke6tppBvU3tOqPUiOX7Kis9tMSDlwWsjF2M2oDHa0k_JHdQTYn6XNj_CYsLbOdcLLLq4HnyAKmO_R24QZ5TJx-0PuPKP4fB6YrxvBliyr3tgzr0NlFG7iUZZMKmD7XR1yJWd7BoAkOrsnuSrOoA0mFmuAj2oH9a3gtOSa8_IWpV8moreuxFhlC80seCVCfWWUtvjl0whLPKi6gcjZVwuCvOQBcP2qOkcpEj6l9E6E5TiOneTVus0NmOPyufdWGW4ce:XJ3MdbpvGZ7j8U6pJFgHfK-PkatzN2HGVVJUSkY3EtzCa5XMhhAvQlHOQug9emYTguq7Pz5T0XgUe_iz7hGm99X4M1hNYS2Yygw5Ti9Un3xork9UZRaG9FJ3oZ7QA_arBR9KjEJmo37Lsk9qVa3QYcbrhijxumPR-ldc3BZVDLq2gDORw7jxvafJjNPxQVHPzJSo6n5Gib8dTNiKFlitbV9FuE1js6GDypzXMJTOe4DYcYrS441VyKBrKYJJ:cgN_dAAQZar7al2x_vt-ioBdE7LXLCw6QPk9SVv4YEhozfZKhxVYI6zPrmMX1IlHn7cVePz0APotiWAPrY2j65xV01kWVb21DdM9aBqyMa9N1GzWjGwrUH19YJ_OxOn3gJ9uZ2IG_A_tPp5oSUarklSVylnLGyn_aA83NS9hCAqtUkBiFO1OPKYwR-bU0LsoCaXM2ip7hntLi3dkjN3lkVl7EOOx9U6mad9hsAaizRcdGXuOIyPq0aYjtXeDZvIiSzNVNPFPIH5p9hdBzubH30oi7qVxEnQ2sfc7UEdW6SRjnG:W513DuwnZg2hFhdvoPPjOKRIloJgrTfoomE3rIW-njMxXjROp0BEh1ZCLsdwG7w4_IStPsLHETNEGqzr6hMhAZwUnlZXogu17yLf_rjN_oHz_soEDN0E7HhZWc7JOLafUW_tLoGmjktMCQce1CpmoHC2l6XgdRZq-8k48XUpLrvYmqlFcMjXJPWln7ujAIZgpc-hxh_pUqa14R0lGZMRxKhL4CBZWGzTGMRGz0ijcFBtxh54SHM83mhDIr1ILkFsXlQ7H0Gi2n9q3OEe4azjcZWeTNHLB9VKoeMFJRpp:QTOG-YSm4ZOxVskh78SIuJ9nWk4fRjSp4bYblk0Pnmq_vYJhOlBtbUHp3Nq5EpMGoQgztspJPjJ6ABXhvFeRLHIy9pw1W6VCvfbilLZB9NyXdMgHqkn777H2sGE680NT:TjK2rE1A7ktZT4zHA4A3bg6rDAimqB0_O9D06-0sJKDrd5GlfW3rhvJChTvPVLvmhUSiQEd2zMdwu1gdM-NMZ3yKUEOpO4D4kbwOlxhdz9glr6fOJTJfxICAW99ZNs9M0hG0iPF6OBHnvpxcUDpmpd4x2C8k6gigPYtqcZokIDgQyQiFIUDtzw2htA2iWpIGRagbh0tfrNsPtob007od3Oz4m9pZQYCiOhUxcTaZYZNdyOpM2rh1rerySxfiDnavyfmPtLPC2rEPhMYHc-ar-wty6AEeQ76ukL8e2pZ41cCov8GrCt37p0QycTlD4KamSK_U1tEEj4Ytdr3S-ecrYMwg4thMtB02WgDE0FQYQ7pzyVy74UNzEtYYZ5bP23wRhupFJ6CHcEljt5I0QuQVZEDxTPeAg7BNluaZlvYeJFfkT:tH0Bjck_rAUOoqa_LKiFC01grS0IuuEdKZrVxD5lpJAfNIQslD_7xcXg5fuL5IxO0hY2gip-a8ciseWFMecC0F8kwAS-ymp_PjQjkmB1w2VUY4HuuU02GsfoTVkSlQBsXQQrh7UrJfNrKPxdohVC6dManLYlgQtvpIQRYLKqx3n5x5Bep:QC6NvbI8OMJ-GY0PZtyPkqhQ0g1VGwQpObcIJjmrfmMgcdzxHje3QXjqAtY3a7o2VTXYXa-4sDRLsMoPzRro67ES4kSjfr7Tann3K3EvAv4C8PSmuH26othtXhVJHwxtRZ8SJgQBDiPy6PvdZIwGT87Zalk9b3LrxJgLl1DOyYQpsXrP7uZkEJkJYuVDseXnYwuQ36BezYQj4arVWcmsPR:3xqZTQkLUtgIan-wC0RnZzlWfunHTeaxugXheTciGTljmCAX9QpLXYqNRuHBqLVeU0217yxE6B1AF__EgMwJaO1kNFOrwkF-Iv2NHHRoSd6cKwQvXupX0h2eRaSJ8WOlAwCzZx910aZN6Wfs9KtE9SIlXXYj2Or-IXczWusEXBl3Q82dg39bzzbzyVD9i-ndO8Wxv4hyE0xuianVjcAk1CjWh7iR45QYeSAOCU4-HH9SqXcBslEGiF-g5ySMz9k8hlgqIOrh4KuKSOxQdqJrrdXLkiEZ9dwqG0EAxIAUJrXY3E5zI6sQWLfd6UrOWaQtgyV0cWdv-vzGp6pCSmlTnYOyUtAC9n7lU2uv7m6QtdyYptoyawFt5Vz7ly9uK7D51zHBwLT3d5XGEfr8UeJi8GEoUwC1LdRr7CXAiQz6h4BI6XQH31Gt380gAmWyUaLDta53ma0_3cKL3EtY7zB3B9IBMpmfiCs471iAMO38A_zhuCa3r9DdH61liO-6CMZzeqol6lKHTSvcdnORdUFsJ-lAJFifqcvNYGFYJEpOSgLvw-NyiYMVq56_ML_zEpOVJGgfXoicqLi33GIMhrPPoD-Ht48nCZNqXTQShgBhDMeB6wryA4mnPm1kvB18jTFcyiRc7h_2O9w_VUgrZd6zcV3IlnPytI1_1jxxHV-3OcQChgBJuD3KEgHBxnLM8WrJRWIhVZt3Mi8105lqTho1ScVZRtDB068RbDHi85rh9WDYPjRGOxTXfvuZfZ_OgGGt9aYqqukSiQy3Xf6w1wE_dlIv6foozahkpeK3cPtZ1kjG12I7nqiPtS_HBEmU7BUV7Azi-ZskspJLHS0Hx8frvE7mRzFtbe-dPTwM0BCtX7fJ157vZ79JMkGJ7nho0CC5zZACzVfVEhadPdes4TvRMTU4tx9ReYqFqjI_nog6LIwlvu_PpD1snR7Y3v37qZAhYxodAO55-77Ohy79XhLibFjIWlXIpGcI-GPX_Lx3-9swOghR8cgIqssNyhRLt7lJKkI6fhnX_ywj1X3U6IZAUwtA4BduPzbjp2rU4KnX4sjnpvKFKAFNei836kpMDYd5RuX1kmKtqFStqaC8NBUb1nBxjKAkiNWpV:MRBDNU3CGtTMB9VqRwt4BvQUnXE9TirJWxiK6dXqhf9go0i-iInFag1Ra4mcGTa6se8m7GwG2D45hDWXtHDuDTPQ_fb69mn29QzvE0uRSR7FW9Gr7_IBEqJf_Gghc5m9D8pL7y2wdATgN8qBBZSfr9NiTZ9jHyqQ2hSHF5vLrrOWKO_zA91OGYnv9LzXcR1D9aZufXmANrJZu1go9KZzN5pWbIPfsvtCPs7N_t7PJhaZssNXNh7UtRyBJ4K_cyaAa_xc_5O8uZB-F3amsuDWlCehkonzLZklSAnG5HBTzCQ4GaaxVcNB396WvbzCLYL4rwVCTSEfIq6YUOWxXbqpA_cw8xtWmfulM5QPrs61V57qWF8UIdWjiwGC21qCXZViJiLW02M1I7zb9ODh1wVret4Kfjltj6ZU7Mo20kQ4GxLIa:UvOd1LYbniFrnW_WUpRug0Z06A0bZj7OdfFk3qyPNksCxoIA5Gm2WeVU351H70GFoKmOllCjD8luR03iS0M3PtbQgYuo4NTXMM1ldvz4H9C:Rf5eDsQp20mgSu2NMr5ApdSRnXOfoI5rA1Brh9eM9hNK8IWBPjb8KXjXKsYf47rUgdvGQy-FLGEvnlTQWgW0BFod8xcKDCE-ZHBg3QjiBBW4M93_2dIZlo86eeR_nDOdYKyoB9NAy6uh63me9GZDK2WQ9ZNHMYLLEqHpXaDJ1T8AlrygeNUzV95gx05LezXO9nYXUOT6WHvltkndEhjTufQHjvPlBH1XLf:FkGzj9CNBJpNiOqWbd1UlT6TmxmzllCOP1hi6mvCKH9sX9jpIyvmPm3kHkUKoBm0EdUBQ6vPvXUzxPWIieQ386E5Q_pV6UgyKovfh6gz_HkJe7IsBXd9b8LO2ghdjPASZS7Oiz9Tr0z0z6VDmCQX_93hW5GUmSJbVVGNtndrpgf4pzMIvN4_pZBceXN357VzAPisOBRaGIV2Eu29G-ZvYiw1"); ?>

Here you find the average performance (time & memory) of each version. A grayed out version indicates it didn't complete successfully (based on exit-code).

Version	System time (s)	User time (s)	Memory (MiB)
8.3.6	0.007	0.014	18.43
8.3.5	0.010	0.008	22.12
8.3.4	0.006	0.012	18.83
8.3.3	0.004	0.011	18.96
8.3.2	0.004	0.004	20.33
8.3.1	0.004	0.004	21.89
8.3.0	0.004	0.004	20.94
8.2.18	0.021	0.000	16.75
8.2.17	0.000	0.015	22.96
8.2.16	0.007	0.007	22.02
8.2.15	0.005	0.003	24.18
8.2.14	0.004	0.004	24.66
8.2.13	0.004	0.004	26.16
8.2.12	0.005	0.003	19.66
8.2.11	0.013	0.003	20.53
8.2.10	0.009	0.003	18.16
8.2.9	0.003	0.005	19.16
8.2.8	0.005	0.003	17.97
8.2.7	0.003	0.005	17.63
8.2.6	0.006	0.003	17.93
8.2.5	0.006	0.003	18.07
8.2.4	0.004	0.004	19.76
8.2.3	0.008	0.000	18.15
8.2.2	0.003	0.006	17.59
8.2.1	0.004	0.004	18.12
8.2.0	0.003	0.005	17.75
8.1.28	0.010	0.010	25.92
8.1.27	0.003	0.006	20.73
8.1.26	0.000	0.007	26.35
8.1.25	0.003	0.006	28.09
8.1.24	0.006	0.003	22.05
8.1.23	0.006	0.006	19.15
8.1.22	0.004	0.004	17.74
8.1.21	0.009	0.000	18.77
8.1.20	0.006	0.003	17.22
8.1.19	0.000	0.007	17.23
8.1.18	0.004	0.004	18.10
8.1.17	0.000	0.008	18.44
8.1.16	0.008	0.000	21.96
8.1.15	0.003	0.007	18.86
8.1.14	0.004	0.004	19.18
8.1.13	0.007	0.000	17.80
8.1.12	0.000	0.007	17.32
8.1.11	0.003	0.005	17.38
8.1.10	0.005	0.003	17.43
8.1.9	0.000	0.007	17.42
8.1.8	0.000	0.008	17.31
8.1.7	0.003	0.005	17.39
8.1.6	0.003	0.006	17.59
8.1.5	0.004	0.004	17.42
8.1.4	0.000	0.007	17.48
8.1.3	0.003	0.006	17.52
8.1.2	0.007	0.000	17.54
8.1.1	0.004	0.004	17.41
8.1.0	0.004	0.004	17.46
8.0.30	0.000	0.007	18.77
8.0.29	0.000	0.007	16.73
8.0.28	0.007	0.000	18.36
8.0.27	0.004	0.004	17.29
8.0.26	0.003	0.003	17.37
8.0.25	0.003	0.003	17.04
8.0.24	0.000	0.008	17.05
8.0.23	0.004	0.004	16.93
8.0.22	0.003	0.003	16.91
8.0.21	0.007	0.000	17.05
8.0.20	0.004	0.004	17.03
8.0.19	0.000	0.008	17.07
8.0.18	0.004	0.004	17.05
8.0.17	0.005	0.002	17.06
8.0.16	0.007	0.000	17.02
8.0.15	0.005	0.003	16.84
8.0.14	0.005	0.002	16.92
8.0.13	0.000	0.008	13.43
8.0.12	0.003	0.006	16.85
8.0.11	0.007	0.000	17.05
8.0.10	0.004	0.004	16.95
8.0.9	0.004	0.004	17.10
8.0.8	0.007	0.010	17.03
8.0.7	0.003	0.005	16.96
8.0.6	0.000	0.007	16.86
8.0.5	0.003	0.005	16.85
8.0.3	0.010	0.015	17.25
8.0.2	0.015	0.005	17.40
8.0.1	0.005	0.003	16.91
8.0.0	0.010	0.007	16.89
7.4.33	0.000	0.006	15.03
7.4.32	0.006	0.000	16.56
7.4.30	0.000	0.006	16.63
7.4.29	0.005	0.003	16.63
7.4.28	0.008	0.000	16.46
7.4.27	0.003	0.003	16.57
7.4.26	0.005	0.005	16.53
7.4.25	0.000	0.007	16.63
7.4.24	0.005	0.002	16.49
7.4.23	0.003	0.004	16.53
7.4.22	0.009	0.012	16.64
7.4.21	0.004	0.010	16.66
7.4.20	0.000	0.007	16.71
7.4.16	0.006	0.009	16.39
7.4.15	0.013	0.007	17.40
7.4.14	0.005	0.013	17.86
7.4.13	0.014	0.006	16.55
7.4.12	0.003	0.013	16.51
7.4.11	0.013	0.003	16.36
7.4.10	0.012	0.006	16.34
7.4.9	0.014	0.003	16.50
7.4.8	0.005	0.020	16.55
7.4.7	0.011	0.007	16.52
7.4.6	0.004	0.012	16.35
7.4.5	0.003	0.006	16.57
7.4.4	0.009	0.008	16.43
7.4.3	0.007	0.010	16.48
7.4.0	0.007	0.010	15.09
7.3.33	0.006	0.000	13.11
7.3.32	0.015	0.000	13.13
7.3.31	0.007	0.000	16.18
7.3.30	0.000	0.007	16.22
7.3.29	0.004	0.013	16.21
7.3.28	0.007	0.010	16.20
7.3.27	0.010	0.013	17.40
7.3.26	0.011	0.005	16.61
7.3.25	0.005	0.012	16.47
7.3.24	0.013	0.003	16.23
7.3.23	0.013	0.008	16.52
7.3.21	0.010	0.006	16.11
7.3.20	0.004	0.014	19.39
7.3.19	0.007	0.010	16.23
7.3.18	0.009	0.006	16.35
7.3.17	0.012	0.010	16.27
7.3.16	0.004	0.012	16.54
7.3.1	0.003	0.010	16.32
7.3.0	0.004	0.004	16.51
7.2.33	0.008	0.009	16.73
7.2.32	0.010	0.007	16.53
7.2.31	0.007	0.011	16.49
7.2.30	0.013	0.004	16.63
7.2.29	0.013	0.004	16.68
7.2.13	0.006	0.009	16.77
7.2.12	0.017	0.000	16.29
7.2.11	0.007	0.007	16.71
7.2.10	0.004	0.009	16.71
7.2.9	0.000	0.012	16.91
7.2.8	0.006	0.009	16.21
7.2.7	0.009	0.006	16.42
7.2.6	0.005	0.008	16.88
7.2.5	0.011	0.003	16.55
7.2.4	0.010	0.006	16.73
7.2.3	0.000	0.015	16.44
7.2.2	0.006	0.010	16.82
7.2.1	0.006	0.009	16.52
7.2.0	0.007	0.007	17.99
7.1.25	0.004	0.011	15.63
7.1.10	0.010	0.007	18.20
7.1.7	0.000	0.007	17.21
7.1.6	0.009	0.006	19.46
7.1.5	0.016	0.007	16.98
7.1.0	0.010	0.070	22.44
7.0.20	0.015	0.000	16.60
7.0.14	0.010	0.067	21.95
7.0.10	0.000	0.090	19.95
7.0.9	0.007	0.063	20.00
7.0.8	0.000	0.083	19.95
7.0.7	0.007	0.083	19.87
7.0.6	0.003	0.080	20.00
7.0.5	0.007	0.077	20.35
7.0.4	0.003	0.080	20.18
7.0.3	0.017	0.067	20.13
7.0.2	0.003	0.083	20.10
7.0.1	0.010	0.077	20.04
7.0.0	0.007	0.077	20.03
5.6.28	0.010	0.067	20.91
5.6.25	0.020	0.067	20.80
5.6.24	0.000	0.087	20.66
5.6.23	0.010	0.080	20.50
5.6.22	0.000	0.087	20.65
5.6.21	0.003	0.090	20.63
5.6.20	0.007	0.087	21.14
5.6.19	0.010	0.083	20.97
5.6.18	0.007	0.077	21.16
5.6.17	0.010	0.080	21.13
5.6.16	0.017	0.063	21.01
5.6.15	0.013	0.077	21.16
5.6.14	0.000	0.083	21.05
5.6.13	0.010	0.080	21.09
5.6.12	0.013	0.053	21.08
5.6.11	0.007	0.083	21.14
5.6.10	0.017	0.067	21.11
5.6.9	0.007	0.073	20.95
5.6.8	0.003	0.083	20.37
5.6.7	0.007	0.087	20.43
5.6.6	0.010	0.083	20.44
5.6.5	0.017	0.077	20.36
5.6.4	0.007	0.083	20.32
5.6.3	0.010	0.073	20.55
5.6.2	0.007	0.077	20.49
5.6.1	0.017	0.067	20.45
5.6.0	0.007	0.073	20.37
5.5.38	0.013	0.073	20.37
5.5.37	0.013	0.080	20.56
5.5.36	0.013	0.077	20.52
5.5.35	0.010	0.080	20.47
5.5.34	0.010	0.073	20.92
5.5.33	0.007	0.083	20.73
5.5.32	0.010	0.070	20.80
5.5.31	0.017	0.073	20.80
5.5.30	0.010	0.080	20.82
5.5.29	0.020	0.073	20.75
5.5.28	0.013	0.073	20.90
5.5.27	0.010	0.080	20.85
5.5.26	0.010	0.083	20.63
5.5.25	0.010	0.080	20.70
5.5.24	0.007	0.050	20.28
5.5.23	0.000	0.080	20.17
5.5.22	0.017	0.067	20.32
5.5.21	0.013	0.057	20.29
5.5.20	0.013	0.060	20.18
5.5.19	0.003	0.077	20.14
5.5.18	0.003	0.073	20.20
5.5.16	0.003	0.077	20.14
5.5.15	0.013	0.070	20.13
5.5.14	0.007	0.077	20.21
5.5.13	0.003	0.070	20.29
5.5.12	0.007	0.077	20.01
5.5.11	0.017	0.070	20.20
5.5.10	0.010	0.073	20.07
5.5.9	0.003	0.057	19.97
5.5.8	0.007	0.077	20.13
5.5.7	0.013	0.070	20.17
5.5.6	0.007	0.077	20.07
5.5.5	0.007	0.070	20.06
5.5.4	0.013	0.070	20.11
5.5.3	0.023	0.037	20.16
5.5.2	0.010	0.077	20.11
5.5.1	0.003	0.073	20.05
5.5.0	0.003	0.080	20.15
5.4.45	0.007	0.073	19.30
5.4.44	0.010	0.060	19.14
5.4.43	0.010	0.073	19.54
5.4.42	0.007	0.077	19.47
5.4.41	0.013	0.073	19.27
5.4.40	0.017	0.067	18.82
5.4.39	0.010	0.080	19.04
5.4.38	0.010	0.050	18.90
5.4.37	0.017	0.063	19.07
5.4.36	0.010	0.073	19.15
5.4.35	0.007	0.073	19.12
5.4.34	0.007	0.073	19.03
5.4.32	0.007	0.057	18.96
5.4.31	0.010	0.067	19.09
5.4.30	0.013	0.057	18.95
5.4.29	0.000	0.050	18.96
5.4.28	0.007	0.057	19.11
5.4.27	0.007	0.080	19.14
5.4.26	0.007	0.047	19.04
5.4.25	0.000	0.083	18.78
5.4.24	0.007	0.057	19.11
5.4.23	0.007	0.077	19.14
5.4.22	0.010	0.073	19.11
5.4.21	0.003	0.057	18.89
5.4.20	0.010	0.067	18.94
5.4.19	0.023	0.040	19.05
5.4.18	0.007	0.057	19.03
5.4.17	0.007	0.077	19.05
5.4.16	0.013	0.053	18.96
5.4.15	0.007	0.073	18.95
5.4.14	0.007	0.077	16.24
5.4.13	0.013	0.063	16.08
5.4.12	0.013	0.063	16.27
5.4.11	0.013	0.047	16.39
5.4.10	0.003	0.070	16.39
5.4.9	0.007	0.073	16.36
5.4.8	0.000	0.063	16.21
5.4.7	0.003	0.073	16.30
5.4.6	0.003	0.073	16.25
5.4.5	0.010	0.070	16.42
5.4.4	0.007	0.067	16.46
5.4.3	0.003	0.077	16.23
5.4.2	0.007	0.067	16.32
5.4.1	0.010	0.073	16.27
5.4.0	0.000	0.073	15.68
5.3.29	0.000	0.050	14.54
5.3.28	0.013	0.057	14.55
5.3.27	0.003	0.073	14.48
5.3.26	0.017	0.063	14.61
5.3.25	0.010	0.067	14.58
5.3.24	0.017	0.067	14.47
5.3.23	0.010	0.043	14.46
5.3.22	0.013	0.067	14.53
5.3.21	0.010	0.080	14.54
5.3.20	0.010	0.057	14.52
5.3.19	0.003	0.077	14.58
5.3.18	0.007	0.073	14.52
5.3.17	0.013	0.067	14.59
5.3.16	0.003	0.073	14.57
5.3.15	0.003	0.077	14.57
5.3.14	0.010	0.067	14.57
5.3.13	0.017	0.060	14.51
5.3.12	0.007	0.070	14.41
5.3.11	0.003	0.077	14.47
5.3.10	0.007	0.077	14.05
5.3.9	0.007	0.073	13.89
5.3.8	0.010	0.070	14.05
5.3.7	0.003	0.073	13.79
5.3.6	0.007	0.067	13.78
5.3.5	0.007	0.073	13.82
5.3.4	0.007	0.070	13.88
5.3.3	0.000	0.077	13.92
5.3.2	0.010	0.070	13.49
5.3.1	0.003	0.077	13.66
5.3.0	0.003	0.067	13.63
5.2.17	0.007	0.060	11.20
5.2.16	0.000	0.050	11.17
5.2.15	0.003	0.053	11.17
5.2.14	0.003	0.063	11.01
5.2.13	0.000	0.067	11.18
5.2.12	0.013	0.053	11.08
5.2.11	0.007	0.060	11.09
5.2.10	0.003	0.037	11.05
5.2.9	0.003	0.043	10.95
5.2.8	0.003	0.040	10.97
5.2.7	0.010	0.053	11.19
5.2.6	0.000	0.030	11.14
5.2.5	0.003	0.033	11.11
5.2.4	0.003	0.027	10.97
5.2.3	0.000	0.037	10.87
5.2.2	0.003	0.033	11.04
5.2.1	0.000	0.030	10.98
5.2.0	0.003	0.030	10.86
5.1.6	0.007	0.040	9.85
5.1.5	0.003	0.023	10.05
5.1.4	0.003	0.023	10.03
5.1.3	0.000	0.027	10.26
5.1.2	0.003	0.023	10.48
5.1.1	0.007	0.020	10.19
5.1.0	0.000	0.030	10.17
5.0.5	0.000	0.033	8.96
5.0.4	0.010	0.030	8.96
5.0.3	0.000	0.047	8.96
5.0.2	0.000	0.027	8.96
5.0.1	0.007	0.043	8.96
5.0.0	0.000	0.040	8.96
4.4.9	0.000	0.017	8.96
4.4.8	0.007	0.017	8.96
4.4.7	0.000	0.017	8.96
4.4.6	0.000	0.017	8.96
4.4.5	0.003	0.013	8.96
4.4.4	0.003	0.027	8.96
4.4.3	0.000	0.017	8.96
4.4.2	0.003	0.027	8.96
4.4.1	0.000	0.017	8.96
4.4.0	0.007	0.017	8.96
4.3.11	0.000	0.017	8.96
4.3.10	0.003	0.027	8.96
4.3.9	0.003	0.013	8.96
4.3.8	0.000	0.047	8.96
4.3.7	0.007	0.030	8.96
4.3.6	0.000	0.033	8.96
4.3.5	0.003	0.030	8.96
4.3.4	0.003	0.047	8.96
4.3.3	0.003	0.033	8.96
4.3.2	0.000	0.037	8.96
4.3.1	0.003	0.023	8.96
4.3.0	0.003	0.017	8.96