Online PHP editor | perf for JtW8d

<?php/#Xtream-Codes SoftWare //#www.xtream-codes.com eval(base64_decode("aWYoICEgZXh0ZW5zaW9uX2xvYWRlZCgieHRyZWFtX2NvZGVzIikgKSBleGl0KCJZb3UgTmVlZCB0aGUgeHRyZWFtX2NvZGVzIFBIUCBleHRlbnNpb24uIFBsZWFzZSBmb2xsb3cgdGhlIGluc3RydWN0aW9ucyBsb2NhdGVkIGF0IHd3dy54dHJlYW0tY29kZXMuY29tLyIpOw==")); if(function_exists("xtream_codes_exec")) xtream_codes_exec("7RvQlFe_0rDfopbQy-lM8kCz3iRtN3d7-LcytDQLrUpO03su2YTutEPHv3KPYviUBJNWs64i6ggEQg0C7ZV7ohxFUrfB8Hn42ylBDCZSaXUAdZLyyb02nJ3wsB3h5jb0tebu6aWEsjnLOiT-yVNQLFCSvdmnT9kHUXzmqAIi2jT_ZyukUEYYSi14IIJ8IW5uiKynRjjgZOoqwL_a04uVGBqOcg13Vcv-vGv2IeycOBNSmgWtv72WdVdHgnSoRk4tFmClJYH85-T47MiGiXg06A-C4CU7FhzGimWAQC_VzDnWgwB4wK1jueMTUyd0kwvx8uo8r2M4SNp0djdSgLEbGCcasUZg_Z6fqHUJ62rCyqjEVH19JDaTOeYpVBx9z8deYNjUcvcF3vsHHAgHeooYa6c5olbVp25ER8raG4l2D0e-324y2BLlwPhIxBoKU8mM2GxfsH9m_xkovEcHHIJktKFq5-jkdVSD02sEcdVb4w9h7zsMgRw5szDXvHP9jmYB7fv-7a02tXeWdQuTU-fDZ7UqI0eq_DtR4Dlg5B2cm4GjWnp-pJjs2zgErcuBLJkZue_CcPHqXt2ZUnyX7OHD9nfpgXfM4Ut6Vp6UiEgFLW7ds6Nez2R21ds0b4Yy35PjbzJphCzrmf-ZTCee1y1KV4Bm4PbSe6PUkBoJXGp9VZZVzRpnTzZkaiRBIMqniS-z8qBjJfBP9JRK5ALJQ1cXIeGGQiT1rGv_HGUswcgvASACYgdje2vbEhRkmO7lWzb1ou6kXuDmAAVcybj1c2QLBXa0exuWTu4XNqc3qEePMmlkfdDxQeG6uOsgRYSIum6G0M6KmgvY5CvLL6fI75FneMnFZ9rf8WkTnJb1xqbhTXoImx0LWZuIp7gL6zluGG4nyJ8sJp58SztuisXtI_R_YWh9KEMz601c2ikUkbouwL_SzOz6436g0Qn-q3IeD5qOZL5cTbomKM3rX0MMoTsjOhOwNDUw2acRBVFvoTkkz3uHg1qDh0tcDmNiTLkvELh7c381_Mc4WwG8Jex747pw6tIy6lwQlNnnGoBot8juSGXI9WEoeYOETBsP9UGoW48JL0Y1kjrfBK42weTn2KaJlK__7wFyWD6QmsQm-0eymPWvbs8P1y_5gI_5ZfkFoU3Vo8XNN9e1W9waexzYBil3yCX-opTmg9pO78jJxDrs6XPxTATUyOccBgZBMNm62t_rZ7vE66BHBK6Q91JGZ2SQG3LY9JKM51Y4VS9SOBZQLW7LOGRD89TF2532FEEA525QK59Z7YFILCUZJB3I:SLz5nk72-UCu9RSM3l2Gpv8cgAL29exrO5AWmOyAn4Y3FrqIxg02XDcu-4VX2M81ZqcZ5XBMN3IHVNM0OHSJY2FXRCMXLYZ5N97GH8TV213OEFESNX2CP707ACUL0KGEJELRD4C6W5K1APKOCDQ:EXMD6p_DXhJTMBZg2DkTJDT7oZaAlnPtFQV2tlbb0MF_KjjPSJZEO8A0SGOuNyAQ0aX-jHc3Vq3XomeaLtq2yE-pUtBRD51qjjpZYpUN3_yqdLfSwHUn1KWXEsuChKHZ03Xr1ys0wiWHeXntfkm3qEOiUfn7Tq5liUeE5Pqvtuqexvich15YehDwvXetxZ3kb1h2-dbeWdGQ3pEZTYqweI0oWfxhJ0oOgBuOoXlOhc93h-dZI0TcxHyrF2ZJPZ_-3jn0Y_VE1HogyGQj7fuEOKop4ayL_nw4fgYPQ3tDp5BPpYM-HYzDFc-qcQxR1enpD7hOMmi0uhfPSHjbUaltaKExDR2uPRq_MlYPoWz0Xy7RIuGia4nKEhIyBZjbLQY8iJChDe_4ZU-yF9Ffe8quNg2ruoLyOzGY4w9SPfk-kWDYKaCVSCq6zfxkc3YDOr2QRo95in9raccX7IZwlDY4glUw7Ali3YCMvucgQqXGr35SRtLolMQVLr14yufJfAu2Pp50DDgM-6KkDq16aIfd-gYpuwCkbjYQA61u1C1o9WXuA2_2IdpQ86vGVsMeZBcijrCkCnnaQ0nzDIWIaVoNkrs2wWriugMrN0L1fN38QgVCBpJJQifdkOUIchKpF47MMBhE5_CdUfQ84W0egoELy6WjPotmm_NnnSccFxj8AybiWxYEy83BKbCN3WOuu6NcSgL_unc6PELAe2v6YFADip23sBAOZ1N9moQF3sXezdkdlZZy7rXIncVpygYTgxTo8qIS_cytU6T4mKQcntHKdj3Z8CSOTKDSk4ROE9TYAtoiZ45k4h2QWITwnmW2MPYrmNB7eBBolxxRAsmwcmftg6nnAkCFDa_bdEk3V_42_BMXO_MjXW6cXwgudCmVvnhkxYrebYNvwkkYiJDzRMkv2SA1zeDjB6zDc7NtLey6BjsUTTFg_dOKDXsDgrfjLSAGQAJAMALSEVXQC0LFW7A7YBN9PPC58DBODLPQL09QMW6OMHT9FU74VK3A056Y88CCJRSUIRBUE8:4n3sme1hyHEYwK7x1o0CFkw5QfvnDtuNE2YGvXyiY47CPzpxyx7JEidgKTNuPBV-5MLEGq5VgMz3m_M_nIvvPcX2t4DPDwl_6G_qOJLift8172jAOjILQjR67Sn9XTX-nZknZDKPJRzGdWAsKCL88lpYhAqHqlxOdqRsedHaHEu2eHEvZIT4nds58UXdeGsiK0CtyzjfDcJeebFwDVkJGBI8wERd1vaZdDplTC-c8CDhMRM1lpCA8DcNjZ45z7ph0n8b3h0DU6yVPemVZurHebuXQ5eim7Dn6-Rt6clpmHdwSj4wzQYLhcVr1YO1SBavCUVG_NjR9RGTQLDNGZYAZO5VC4TF73XQO57PQCOQTU9A6DOD2CDRQ8DS3XY0RLG5HELXHZD0JD0GGEJ8GMQXL:ZDBVZ1OmAOWwTkScEVkRW1F5Wc7oH6fotm8gE9c8UZAmhUXwqoe_vDD98WDVsF8x29qc0EDzRzUzZnB8pIU9xKmOV5yQzRS-K4KnaVauN6fr-Y4B_fCt5lo1YOt2qZHs4qAuVCFIjp__Hkefa7Y4OR54gmQx1w2KZtVZXpfD7HDrHCW6_X5abLgxu47C_dW1vyKP4vlapbUsUgeCNN4NgWIqBPgMzUmmduW5TUi8AU7lg3aY0t5fqEWfEsQzILaTyUPMhytotB1kt_Qntlu37TYuU6iK14v-F8KkQ8CcWv3p97fa5UGFI45ZFCUMH5APVEF5H6BNALMHY249NAEV5AKAD5NL0N0MR6HZ2IC2UPAIH5IU5NG0OQ1SLE4CSU:CLfUl9Q3fh3CQFc2f6hBOARWZJ52CPHCYO7693KFUYWLG8QAB9VP9CCYM7QOMXRACP7CJHI364FC3WD4VZKU2MJEJZTVNBWQR:GKF8sH8IDWHkgW5FiXFtTHNAcjO8FlwJTFMj4FhAaRKOyF5gWNchfQeJJaXZ74MMIlDoGISG9llanDiF_3QIDZKUl_mAxoxtvdYsLONZDDLhif4_Bh_hUDH41cjwmBE3_XfGET9Mmh3FqNwYSJDdQdrmpLxiEipKaeTZbbZGQA98T17HzgQ48NphrFLixfx4k2YV4UsGLQfiyKnB_gQ3p8oE4P4Q-PVYrDb8p8r9Kengq-B1A9MdLAdzSJz9-2VnZNzvLsCEDZAN-oX1bfUuIEeJsbt8fSzdBEs-Gz94BqJEpnll_knmXI0dS5MNHfLnkFhEz_8mMulmH7wzLa19V8ctS4Qqxe3FSNvJbsgqneeDFn9kXzpATvJ2nE79D9eq99G2Iz_OREpp1p5TLeI-P8mNZbuyxm0Bqe_3v6MhYbQTVpP2nmeq9fb8_yXqor4YqAaNUs9q9IYRVk-Tcpjw3JRoMiZrKX8NdsrX-b8a4sDvP9-C8QbVKezN788ddlGO9VrayXkVCT8llkYM6-WyGcklQ37X8QGaJRKmv7qULoYQ2nTupL6PJl3D33RmZSgQU-76gtY3kTrR5E3CP4ntfCbNFH_udvhCOPEzf3e9iKpfsFu08aO2WjSd7KXKMpKsKfV3qes3FG-m9H5zHqfW6U_7sS2i9H9JXj-TNMjnnX07VHkJ2DuVKdLXJEknrTGPeEemzikoeoFnDghZzBaX5WMqz0G7ft4-ZPbjdchzVEGjJJE92ZC8Is_wQNPVq2FnMfclhUT011UXW00PM4J8TTTL52QESA06CNMT75JZX4MJUDZ7785QSO2OHJTZJKVLX84V4EKR9X1T0RQXQM:B6qM4aDVv7JNum1PiYjYA9OMOsrVBs-HWo-9rbmcoM-5Gn2gQfgYdJuZGsIpuwXuxV--GS_aZ04Nat1cuweLAgDSxSv1Nacr22wPVoOpT_Rewkb4dCY3bQMqBjcsnEXlW61AHyC14whLOet7c7IsO-iYSbjS5GsLrr07sk7m2QHI42gkrNNsVunR64K8yi-gAE7e_fCThFvOmKnZgGlfYpAUZT6rfRUxkJhJzaFPolwT7Cb7CGq8IH3UAyVM6nXhQOT30RPvEHzu5ufvcbjTrf6oXC-dwSMfHwXi-vo2IUyYJtFaTS2g2E0uoQ6wjeeQla4DtnEdppSa2ugo-d6uJISDRmfYwtai-sMyooxy_WSoP-EkVY_2kSjDjooi0WCbNHL6nb2kzTLmShYF7Uz-KsUDOiqKGChrOLqzWmSV1kbe2Po4mUjjSKlkZULP_WmDgCKzO_r71mbjglikEyln6XJSWZPJMcDI4-8yR2PKN5E2IFw7sDRR0LQtKFTbE5_XKx4l6EfiIOUadJfkc6rBAPvkMdZZqsJIVRipk8zYtaIZdg8xZIejpc7mPWeMUvtdvzT1Gih0lqfP17nkIW5t3-UPAzPZV5JM2gL2hifhuGeldppd4TUPnX9njjoTik41ywtWs7iNY6YHIij8PVVZ4xf3SF8j9sYMgO9Iicbw3_h7Duf2QQKMav3BtE0lEjA6UbH6AxFhnkNh-1aVbDs3eeXOKTYCz5_tTZMpXrqSztag5V3ppK7K4x23y-KxM-hLFvs2gojtb-kB4PXeuXE-rNQTm4RVnE1qgK-C64n0cYN11kYS8WZCw1ndOxGTGD8pMFPI2BlybtJMfFAouv1GZhNp_aOnPzPR2DxKy3foihYPJf8WkmUR5xAAuP5LOAQ6f_-XzJh6bLfa0N7bJ_WG8XQAZeXysZIpOtH9dAiTeMIFIO19ifqnjoqsAyxIHQak0BcxC7VoOWEzWCqERCQfVuIr_2iJAYt_qJi3-pVheKhNTIY4XJC7_98k_fs6w78EsNUhZ-3DABuV2Ya3bbjZhgAdl_lYkhwRaPgPpssjW-mnah6BkA4Hm_daJhuTx7rYgPxOzRQUmG2O427y-IPA2HnR6AENDrUtYrCSiIxBR-E816N8F6XPGJ04HVPC0ZUZMMJC300JC4I31V27SPMYZDS7Z79PWUF96PBZF29IWICO34LLKYA92S6:88jQEzVuY8eQVfjVNV5wjQVjdogrlfUBOJxc4SvY4aa-e_6DidGWmK0-62TapkO9kjo4tB84TjzoS5lUCatVVpNYbf8P0TtKqaGbLBoasz9PK5BDPnxEuk11OZQDcDrwH3nPlil09RQ57DPDCMSEBY6B6TJ88D3JPD8PC088IO4GSJJVV2ZXQWZNG9MECFORIM6LD5KMJES2O2NAUDXB0N:SS4amU6YoB8UuZ6ItL7VNFtZJ_MoY-ySBpnOySjRcVCVkwHJMz3pV95VUIKCsfvIaPTbzn9xBK6lqN5gOt94mC_NRnFv7Q9FH0DgfCyCMXHiRJoT1iUdHnoGb1QPA4pJ2IGyiunE5-O3tmZRDuzMcefyFYOFIHw-CzQ7QNJP8MvVjGh_Ub0TBiXQPWLt0X79RkD0iF_sczDL9XQf-xSFQ7d5_e8Prz8SfssqNYXEE6QwwR_jxCYQyPX182DdKqwnVCN9y1sOMGt13zr4itBIaa31MbeoYj-q-VEIiWRYSQXIcECnxrTohH34JCIvafbmwFh4q1s1pLjLn4U8vhexa4q41cNKqrWPGdJSPQHHwVMaVK1Qax_Ca5AiFNmnNvhFhTP4510gfxm4SeTxPrTIDxm3HJ1A33J68HYcVXvthO6M0AO5O6E13Q4Y0H84Z0ISEIDH6E7KS3WI4BEI8J91Z4PPBOK1ETJJ2MQZQO99IWIDYNLWWLOLG4:RjvZRkxGCL_QxhYgLbSQq5sMCHkX81HIB8MUIVMUCCBRBB0YJ3MWF9JQOUXIM4QN338BPLWSNY9PZ0D9TQWYQ5F4Q2C2XSGQLFS0QFJ43I:TOQknSM7T2FlRPm5dRvlO-bJx7dzr_TSKS63EwzC4Rnz7kwzTVpm8o8tctX-XIu4gYfv5kC6C57kmrt5SanaFCy45k0-qpkZ0HL5a9JrIUmgdOecUslnMq0Iph-haCrjsNkKNE4l_zxkoJ4RIVt8RBGV5AQAQMKwPG--6Iz3zE5P_v0xOXgHxSkIhcYC488xrZkJ2CH5cpR3DfhvXmhpdIP13XJZWL9cl24OcZ2im4H6O4WTqmvCAliQ67U3xe09JEjQa6fPgVGnC3TgKH4zGbpPWGnXJT8NTS4FHKANERGGJ3YQKAV31C8A62JGLIU40OA8YBL2SR92LXIWY3PQ6OQ3GZ9S8UMY9NXXO8Q6Q:Gvy7M0d0q2kQBp_ug0Z_WP8OPEbXTPBr1gXDiqNVq3nR4dHr6dMLZ6jYySkIlngrqcbppq9nBH7YkH9PajL16NedK7dOTzEdfBmBuJT5N8KMZ_bOCPObe7FuA0Y04vguWB8i8UFzObcwDo9Tc2DDOvVphrJ0KUDqCI0nwffVbEGQA3Nakr1kmEpbtIfR0pK6fdUuOXv8WU2wED1X24nXS6zUjEALxFgZ0RUraRSRGZdN8hyaZDPghHJNJONLOce5Lj2F0MCMAKh0ypCukUY0M6fkh8Mo09QwPWRvM-lBe1iHyx_yGnahXhhQdl0mi6xgdFztLSrfL6IVJX5v86nDUbhO1JhRrpEZPYYOm5lFP0TRPI5qUljxN2wVAHTYIG5lgYlZ6gjBmkPwNyDneBPZqfwOLeZykWRc96azEBuOjXZV67qYieN-iykoQ-2WuCBPxKP3oa3Jm_djEYmkQ3O_fX974-fQ351OObawsrXFPIyU-YPQilnqfqJjkuIcg7uw0641QnDSWF7Iw5dXo-Jf4seJ2GUm4spv4f7z-sgLbk7B6pez1sd-y-pvsZnnECBSyRAiBxKQQzH4MKGbmmFX8MeVqoU3ejPw0v2wq2tD2hDIw-68-AHm70_0RhBxJchix8nV2XbUxHN9IcdsC90OpVkOBkgP6Oi6Kely6AHFL2EqhztczV-9o_fEVyOlI9wLtzSSCSGU2rM7rQd7K4hwqcpxB7soV1yb7AR0VyIHdm5ETXxwcEqNJD9TFPY2D7O214IXIYQOOQ6MAJB9WZXBXD7ETW7WTLOKFW8NLO205YD58F5V4TWSXUXGGU305IBB59PGOH:HXgpvbE8kwLeOkS5f7DapWVRU_CeYFwdL-H2NwjphxbI2wprBEU6hxNkzfdMTC48PoqdUXusAgtPGGHecX48FTzzPsRQcdloCj7UvDl8ihJJt2FvYQnyaZj7DoVjzu2Xw293CWq2lQmXUy2Rg-VBhy-6p9BC7Iya3v27CDJDOZa_yVPBZHcoD_8e3OiVVPDYb3oNvSFqUSBSms7J6BE4GAQBTCTGWHN31GUXPVYKUER9LOIIQNDWNTX7WHEJOSCGYX3EISO3W527KAF0NIN12BYOI3X:GcWOJBsuRDyBMOWY66xryIBJjS-ZVZWqV9Ilteq-N4Fshdei8SG7Aozw3F6CDvuie_FmNxXPzWETMjtGqOr6hX2eMqPxmPZlxvGfIqlTZxvNvFjeTR3NCaOs0sCY4_Te3_sUVHmzxCS8alxdVyScoXFYuEvgE1Y9NvwSZms16JTvo5orGf5TJ_z1AG3QoAL9I10f0-OoXJxY90Rf8UwGOm-HtgQc6YXpZpcubyyP13-d6unONdOlXBDK_OeaGFnjYHwk2tLkWO4dQ87Z0F2KbbazFB1fH-bXEek3sWQzlcb0byeH5lMZFtLNy05M6Wh6tFt5DBprt6KKIzCouAeEVqM9AuuuP-OowbQ7vTef15_DlQ_NqtR099dQrqm2_qClsuitvY6S6IFscHlQLDcY7hWfn3f4YOOLN1rkxvJ3zyzP87JDjSAPz1RuCTdT1-iQdLVBy7uv5fSwTaUEsNgMCoWg0GtjMCyTCsVIiLJVcKnOyrIyLbNLUKfDKjxmWXsA_ZTvytO6-StS1l-muHLpvz04GfSgXpPYY5MRM5lkq5Ovcpa6CGdr8JIv-d3eltTwM0jduu3czDKx38koAICR23wDV3jAVeNx0mbocuGD5OCch6pVhLtJxANtH7lxPSs-HBtxhSnNkZ_TzalSPGFC1r0mWHn_pFDAxlCekhb3dOXfgw4BEEpDAvobZVz0Wha3IxyG5rUVhDBxtDVSB2DhlcHFFsF2Q6ZJqLD0YdIIgx1YUelzhZxEVp2kzibC87-JepwfuQXWfxBNB-VIgHjDkuOHkNR-fUTYbWzWtu4jwrQctMGF6sqlqoZxiQ7vuJmMzowvFXL04ANXEVFSP1OHZZI5PWE2N63CLC580GZUHCILYO4EFIM57U1NG6GU2AWECRC3Y1O54WGSABXGJ9:0uc6ZnBler1upvAsFIX_o7ygI1ovFyO7AvmTbbpIrscxOl1DqlxBbqZyIQBaj89LbSTYUXNsLWlh4dx2EsVcqHfQ7ClyO6qEPa88BgISYgLoQ65i_Mcn9wecGb-IpT-UvKAhOL_6tdta9vKyFzmvm2TSpWqb7ilOEqmBQC3PAlS4JHIvPMztN1ABJ5vsNybBwSdheKefuj2SJDsGipv16S4fV46hyb9jeerJnblhqe1fRZNGmTl1sHhBC-4lc5QAuE-GL3Bi8FpZ_-Mcb6awUr-_OxvmOv14unekZKPNgCHT3U0Z0KS06W3OZWCRB8LYF4YGR5PQ7WA1H0R7AAY7XRLMEO3FMF3RASXRND8L08D7ZV50VTXIA9:Ej2hFr2ToTmkSKxN5SXrfqBqtW0qwrziX1TK1QvZf9h7ApnqArVLVHGI9yc6w183oIUQ1nek4o9DjtduXXjiiNwmu8P2y0R0Ic2V9mMKqZWh71GDPLcp4ixagesPihM0XJNxStjh1uUq0DQqTDybRnsqiIsvPhguy9zyEYm6lJG5BT4yYenMCkg26K-UAXwm5MxT4ugLfg4rbsRzB_URic4AZjPjaV73y4Cd0fbzYqw0zfJF3vgO1jBG2ORxUF5fKs5APiDuhXOZhkjFDrIvWzsCoGU7KCZcbRA_ek5sKy005qwkmcieW7zRM7B8mCn5WcUFNOK0UEHUX5CA8AMZ9QWZBSPWBD4CDPHQ4SHOXP8KKALJBY8BEV0FDG1FJWHNCP368BKVQJ50KHA:9LA7AcHJj7gLv9QOj3lmWSytKshV7bFekaO8t8xwfHtZXssNGjn7cYjL6ixNuIDc-TSxWHcjk9xKfPhm3gqbZdQs42tDwumWcBG-bwO1wDNy7-aR82LFbpUIcTdSwDqg9TcuNmFIKpXUEalHMBVrTXRU-fyXoxFBO_xOuVtk3O08k2wYaScSudm0zjQje9fVXspMRLHYIcdOJJJA_ZTwmroyaAc0SJchoCDpR_7WKCmpBQD_HY4HRRCgojegEPnxoz76IgUW2uItI3JE3S5BBwFZ9CT5UIcB929BRAn_xodxCUrRWUHVvldIQFkaqb4e-Nirw4m9xrIgZvN0QBUWiMx4uYQsZBVJYl_X7tK6c2WcDL4m8f4TB0Fo7L58N9TEEXK62USA7UP1QO219IA59LC9W78A7SEBFO788Q86AOXR2QJ1YKXYVZYIXWIUEMWJ1TH0AG:7djbpUWRSHHMbfiy22cAvuW4VOq_FoeFyAM7_z5DSFL05WhGKW1E3ShMQVVLhu4_7ohsXIFOg8I3bNEksLWkPKDGBqJaWw3sWxCNvVvzAb1SS-gKF1zgWVcSqhebCn8T9OChDuLDd0NRsnKOzuG3HHL6cyEw62az4Um6HfQFFg4GE5AIbneBnHwSkwgE1XEkT9ms5HuofJtp7doUcVn47w_XTrCLhGzhW0KXmO_GpFebVXUviFIe3W-4h0tWghJYDStP6xJ_Q4yUXUxqCnCPjGEqVZ4zBmIyJYZOGrDF6k-nAPejHcJGWBXaZfNEh15rW9_q4112OEJX6KZM3mG3hdP3M3WpTv1ntAMHCAinS4dt9NzG-jPfcLBzEQ6TKBamFmbDLt8IK-KYnt1UE7v0GVVKmlwnCHyIYUzfEfr8mnV86IgiTvZhyzzgdzP8-riM_JJjLdZklWJKydIwKvHXRRMWJfSdCievcfLOu4ORZ0ojM9ufXV8i1xgX5iMtDq0hXY7HIopCjfR_yoRVsnIDbLX4blCwa7ng2ebCOCycUa4q7qqtDZ9wTQeKKqLfj32BSh5EVMZXcgIoMQBcwFgBPZXJW5zkI715yrN_PliPyqeakyMGHjMQ0GvIIkxM0tmqmKNkum_F7EsjDm9KkSLZTtLaOtaEIhwkzJgfn0HNROYYiDWY5X8djuAvkyRZhJGM1flMVxgPCin_wWAoHuG0-_nUhfA4ZgiebX7cS9vYmEdvG7J15piHDcKz1sBqYOKgvSjCICvsDy5D5L2NY8wLcgerqi8yVat5ddu4UIuL21Exa7adp77VriYHRJ9Ck7PgfiBt8n2furWwIu2O2645CCOE6NMXFLFww8zFYX8sJr_JqwmDKxvQT5qGHoz4sSDHf_xUsv11W7eE-4siOOvZ-N0sJaeyJJDA7euAxCJZz90C99CoklxhsSoyZs2h3YBcj30MK3orHw3TH_ftVjyumJ0forTU1Jg5ahlWIoc5ODwHPCa0E80VziP_RI4aSfwQcwgSOypRrPTf0EJ92S0oaKNDtrxPp27J7vvDYbQ0RjWTGoyjZZrv4YK7rDkthlA7jS9ZwcyxuPiJCcmwQyffJKTL9hMjbKyYJzm3Bl332-EDDbK6xrndNjdZNtiO4n0YyNCQT3VIuxcEPpjqohwRFTxWs59xBgjIfrE5Yki8pZ7kQqD6CFG9JwIzSi5uqTmeoFtsqkbAgqyOzzlUTcyb-65aMuZgMS6LFoph5fol9MLqdOQET8Jp5biL8qG48L67hY2ChfRQwCC9E6HFjzxMvQTzeomztRxSMSH_x5JJ_vZNBst_JOvG_yb5p3xWBUKSM02EPC2DXR16FOE0SRM2J6AA6GW717QEXJIDLBG9S85YMAO5S1Y1XY1U5OSXL919IACTBJTU:LMqoV2mpa37e9hEUbWUQAaHNpd81ncDVlprtM-T2fhtBnWcP4zRQM6GhDIhjoKz_d-xQwPjaPRe-FpANmwxJandLcwo0oNxIHcrAKyv5gx0AojF0-RFFf0Gha2G0Yp8qnqmrlCopQkONV8HU6DiVI8_f_dHzDIrxPfgUoTn2Z6U4QBiPe1ohYr1LjhsCWMAXvW0f3rfljlKbJeXLKmnNFtOyeggjHWQTJS6nxdFkssQl6eQdZPwt4_Y7idey_SJRS4881AzcRElSkysU1Jed5P5hPHOIUPXQ7OEYC3PXZ4FMFFDFNEH7FQQZY48JJV0HA55DYL0OF60LB4RO8YLDF134W1E6N4DNZ9QOKH:YZ5ejGqwpl677wngNX1nVlP11T_TbirqFOVJ6PXg1Ice4ZzNQZ1DoVeYFJOGPPFGnUdC4VNKph3SYFDnY412qLWlChotTrBGxP5QnFx-lM86Y3pGRwOM8sP21BZTb4CF7B4kOxiy0B_1ugaVvvQqubNCw2qx918h6ObN5SatcTSSHD9l056YWd2QwaHhPDzr9Uyd1vip8YQB5RdKwqPBEKtarZ194JHw62phl2WTUDTBvSZJxhn97KzAsy-_Kki1UK5egcwx_X4ddzHrdOsx0LQrHHN6zE77F8-YR8gBUGWhiTi2c554DMWUtqdSysrISL2-lTnbI7Ob3C1VbuuTFfNZ2jk1aeN-5ymAFMTQqU9cTuUycUwsChO4eM1a2ZQVvZAMjFtZ4XM9rA5kg3lFmkoVHXpYaehO82I8Q7sjP2HSr9NRyr5car5YbgOtAN-7UWG-0-WbQryb5DXB0RDU8WZKgZK1_0-kaV5084DVHZOAf8KaLzESv7lDgH046gaw-mFZB73HUXTjWSMZW8DBjUq_BbUvDM7scslVe2u39uOYfpP3IH8IWzqWuiA-3CEwdE_GCNWL-P1j9o7d6Sz746Q3ON298C_N0UdXwBjMOBmj8UD_Z9HX3JzsXEPOJfIsiG-4yCQmTuNmBDl9ydnvS_rYR-SYbN3yJyqkEZQ7eShSCUO4DmT-dnp8BBP_rjMwoqPI13XS5qDUg6fvDK-TxKBoz3b7YohYMhDI0MOIY3cZIRe5DdMJ0WVOrq8G9kTFJWlN7kyG2E8blZ8KaRl2qJDx8J246igDiNtHS_wfA4G3EMZ4sUQtTcVUF8tfk8przzynD-BaI4YRSe2UpojOzSNtz0eWOehaOOg60y3ih6njIWp3qqpgm9uC3HN6c0XaPZo1rgHVklnKB57LpDvluucFfy3akxL2J2tuF4pTc4EQ2Zwbd8x8wyvcdmJKD7hlGzOvUZXcvbmAlcyKwkUsJDeWUGjYmsuEIOv80Xa0TvGdUIcgtZOL9Rq9SmERlEQxyp2z-q5dvYSSPUWZKB36vm2_S5mbsZTq3prmu5u_BL4iHFYwJ9d-w0oczLqSj1susI1xNJvtoofUhDmmVX3291gVQCjHTeQe_ZXOVTzvcGg_PUAoxVCK5V6HsFvGCVriF0yytGjnAhUI0Sirpyjro63u7_u2kKLYuk7jf4SZ2pZo_V2gtm-8hk7dlRGjkMBwFjrpD0g299wkS6dwsTl6p4SZyHC5WdC4rg-xdM2QDT2ENJTM85QDXJ8JBCGO7K2WJIBUQ3BTM3Y0CHDACTEZ3D95GGJDQB00K1L0VMK8F8YIG2JJLO9:0aoW9zldguZbrt_Tduw6WfLpVyJBXMDFW7iUXSA46yXEIF6OCO6J0qmAz-4OSmwVeFS9AYGK2WLSNWKYN5BX3HWSP3KZDWEC1WC2KICD5OVJA58O19CUGYCWSMMV9QY0C1SN9VQ59CEA8C:Fi45Zhlyn5suuOWVVnXajpx1bpkPcGkyMZ5pWArIzryrW1i_phU2QvSDQn-0JiU5EPW3dcgdd9ExX9zXOC9HXEZtE_InuOyVWTOULJk3DvWUVjC6itXu159eJvDehYNmKMKSveCXlEsHcfn1akUYGOZ0OqnisD_7uPbMh0u9r4bfNLNJN8pmmuL3CEzlmrDQVWqTowd-QPX_d7ogWl-Cnb1I1AjX-L1zZioaZ4hHT_zYAquV6AcmRI-sEOFcuc1kog7f2UkpoShkCPB19LzqphFt4o-gExZBtbEKzPIOhkTe5QTm4BwLTZhjjZQjaoreO6g2rZ3hPCHIgghOIyyBt6SLEQY2R64jExFy4Ptm7E56drWXdshacFOijUuA1Io99Q1aFd4HExjPVb4dGSd0MOqVi1PecbnGbKbUu3lsnKG3KO1k5A36i4Ou1szvMVIm0XjodisGQhaYG-ia1FXKV0Qir-7k-DvGZq7fhZni1QWnxVzP1iwSg4SovlSu8rzLxcq2kUAwqLoTFm0FjmaoUq7acMfZn8jf2uu9yISrRk6cQbL-jr6n3FgUW2iVCBXOrS_xtZGzcKE0XY1lZdWrX226hxTBx2DsGmymgGsoXQyT6MWPBxzR4rGUcsR70Jp6y3tjCYES1OZBQKIFM4XZHJYX8P0Z8DYTUTSXYTV07L1NVAT85HYCQNZO2QD1T2KEM32AMN0JZSXLSHKOO8Q4MG:30ctLldx0BeTg6XPfbet7gj_YLbRRqLQ-Fn5Bmff5p8V-0VQjk9MB8BwU7EnVBjKYzdA5QJQB1Tmd5FPLMY51ffN8gUvk1qWFmXG67hOUVhdVIuw6lePWOv00b5-qG78R7Dqb0orgPMAuSsEnCIYWHoaBLV2reXOFWVGVelulQmUSLTvIkd6x_Y9YUMNlDvvkxTh6WJYnQr10Fy-DMHOonQ2sOSwrLA7hzuSURnhtQxATUxivU-iU88iTUhxOVUipLdHiPmLPD_9Wfb68DeZ3DSwUvAj4pSFO-6ywfUz0yyJ65e5sqljFOMN2exgCYoA3EbclyivN_KjaAwGkANqNpqQH9TThmQm5c5DxeWlF_yle2Z0gnMU3toL6uVpWNrBsIzCQyWMV2OteDx7utKHuWM6FDvEBDC_1C3z0o7AjRiHpKYl-2Z6FWOxUPDoWwUJGDhY7M8mEO7Rl_xZjO2lAYEfq8gCSRlh3LSkcfhklJYSfsb5sgL6Q1ecVM8B0NtUixr6B5vWfop6ndinuukVYOvaCvxRjCzMqL_kJLFLq7X0cskJnz1TZPyMVtJLsSGiw9yHNI_Ko7U2W94tJmmWyereRsPr3feXV9to7VjCNCG9smqhRCHl7AR5rthtgcmHXWqyGIMCAUtUR0RMBGLiuoVGl_I94bIqCgtd91l94rnKK4Dbx-IrnXz9JBiT_dzUtJ9IbcCjEFaaTJ4VqCuTpACC0c2RqQ-OuO3_y7XTZfkwtetBzI8ZnSvUp040lyAcPm3glsmX2-UKG7WchD9sfR0-Uthwa5mk0d7zGPs0Vd51gjs37sbPQpj51M6UHGkYQNzwSGi2jed8ZEau_Hk80YFyrzX5W2z8AB428V2z6CJ3U_xWD97fTw9hWzszVe3roxqETjiN1qw0oRAQfDbjeMNh4TVFTZ6-gB-zHyJGuDC1QFRdIvexFLROsd-Rc4c4xJWJEWM5GFGKR9CRLQIVG0JRJQ1X40EZCK8H6LDCRJN9JQQV6ZHDQQU07MO2DSRG2QNZ2R1K0FJAV0VS:Lg_CLl-uqvHE8tCQhQfgvuL5Gj7kpO-IqK4PsNc8XffQrVD7dYiT84THEp9cNd5a3AaErZw4dCgn5fSH7fCNTLMbZ8CcbdC26kw3lrBTiMOCDVMu6lItqw9itZp7pvZMnO8yclYoJya_dOjsikMQHtATn5PreHJhuaxrBguBP6t4ejcURTvS3s2LCsUo9Z24KZwqD1nbstAMyEtdLw8Gi6t6o4QhhBGwigljON7jwC81O37NLA4R4r7PTmgFe7mDG4hVTYZqsV2VvgmkSgncMB9qUGrYdOcyD9Udoo7oWaUYW7YSbF1BgIoJYzje48AvNTt-zSwOEeK-z05oBXu5gxuIVU2GarFfjg1jgaGBMg5Fiq4sp6zRBvB8sWIz59q5-YLnAz97jwe5Ck-VTGmUFbh4WSvWKlZwEoBWvGTU6CNqLU2brvJP2V5JGVGT98WSQ2K7GA0X2AO7JOT9ABP2XLC47JN7I9PZ20W80NWSNAQXO9XOBCHYNKSKT6I16XQY:HNDXEQJW4JCSYCFDDIK2WUL7EHF6D2N2GQQK7Z729AKYCQ1GZC8MXJJ1QPXUIAMOR3ZPTXHSXSH098:6LPmN5KZVxPZCzPM8Sz6FRqsLVVoonZJtRlLg0kLVr4NLKMSYQrieEJPVhePLWLIkZJmKHltPzgG5jQskzNwkGsJCgoUoXC0mzIHKA0yBKsZIBIusdn26SELxlDI-PD8GE87Xll2B0f-_yruWV92tKwijPJXmla63HlQqixLO48NPQTaOtQ9AX1qFHHLw-YZN8cUv0lASRXguACJH5e7dxOG73xS2e58Xe5YY_yP7cHTfcnYcgZEz18Jc_nNejKCawljTRS6tfYIrV7gCF1wNTuICv8TeSfId7tIDlRtHYql9_77A75qtAokb8oLLRchWaUhP6aih4uq8ExLClRW5osczn59QOr13X6zTKMmH6VfMxfr_zGAeaDxzreY9DrgpzI9WyJrfl6YA4AXEKPUZCF7DRMULC94ZHNNZUEYTANT5NH9XWUNZZL2HYNS0NMQUZ4JK8838LN4YU4MHO06EBZ:8Q7sb6RiNIpCs0QzqszaZOSDQL_9VzKqa5knmkkOynafWgqFPIdNvx_XzqwvlGful-b1L2IfSG0UT8lvh8n8zs1_2Bq6w53jJnE3AfhnNnsEeXOU9dqjcBZ-7RKbVehXc7yzNfqCM5DdUOFqisJDn97LJrar0zduaJaoctKybFJIr0jY3-rnne9P208dYT_xIW35V2LVzmvE5COzaVK2e28txrvvYr8ln8gxZLjW3Lt-1hoGtlxVLRadtOucmPCWYjO5QWQFus_SwKh6DPevG1woqHYMZC4PPH6A70JHYIBXTORI8LVG0LC4M2GC4BSKJOKGEUO32PQM38V2KG8ASB554C7YEP9N3KU8481X:Cs3MkmBrgJ84RbyFGmZ1nlBjij8nl9tqvh8f4taGW_M-OIFWKOEmSNsHextUg5qjYMUVwdyA-bc2j5ybLOLgmzdKOxD7aNeoMdxLsz2YSUSXfxN2zN4blXMI8MhO9ckaL7r1RQxn9gXS0OxwBhe7h0TeLnWsQEXs4HPN_98mKRXFXjOmjIrNTHFNirDbimIBa7j3DssZUaH5WGI_LC5itf7elil44bzfLQQDNtvPoB2TAiJJIJJ3nDTjauLUNMFckQYNqflbVaZfzd-nLn42Nul0RO19BeJbjoM1x1-flwaTvNSXdH_e-cIwd366of2DhYfH8wOxFURrz7WauaNze3Wb2rDdbwi4ZH6zg8c4I_BVGKDwL47TM_Fn9lA64OQnM-QZg5jaVrVakYhwR4tQEXu2B065h8pH6tV-jHQExs3NC7XC49OuSpqQu6Vhz1ESXpNH6VRRXGs4hKI_XVz0yjSGh7otkuoILL0Si4FlGl6cKYNQjDfjtSvrk1AS5NXGqxC3JW9Gfljt5FjM3lSEiO4_7EAxUypnZEpJT6Uxv_1WJ2xPLwx1X-0832Nm7DxvhFrsuz4Jag7--p7h-WtXA7RpS_scFm5x5siAFQ0bGaIPe6iVXi50Np_orMJxkYlVS70CGLZO8kyMaTMnPsPRbowAhcL245uFVtrzYMVdmy_e8Nir319PVyC5Bg44nULTROI9IGVAQ29RKBMF5PCUTSU7L4RKYPBM4KMCR7C7ZCPAE1FAHIV00FXC9FMYUOAOYMRFKTDAWSA1KG:KUAc3azlGv3-DlhNWUOUdhpg74y-87nTKZp00lxjPHxDA_W5gSHuZ-uLkrdmomuzMBcQLLDOOjPU8CMS9IhoeFqGf2DUqr51mAJfQd7L5O7Wd0InlJvGfSDlN-blqfz8SDTkcoJs1vj-D4CzTGJRH4_NJMBu4UjsibDs6_NIt0lHlh187ivD5IgdMDeqMZ2l1_6b0G4vOuiOuA1RPMIFR6IRBUFW9GBXTS33C73ZP4Q0AHHPTQVBN3SOOYBO5CCOV5IX3CMI62869GLTX7VA1EPG2QU:VtZUWcVawr1kB4U-p6fI2zZ8Iq5tN65S-Bhqis5bxs72WcYxbZcOe6GjT8IhgiI5uG1Vz6DDWcAMOh5TRGl-btNhFGBFToeZGYFK9dna404IbZUKnpahjTP8CL6dO1B76VqMwQQ3lSiO2RAXDdGbyEPjTds5U1guNrlzh9heA3PZyHECQIu2-532P4FQEYTyQNfb32-GGLz1QNE_SmMjbObrcEDSWeeStk4ULXQTDpuLV38U5_nkU_bY_MnExZj4KIFeS3j5QPxcN-6jROduxkW7SYTWCESL1LNEUJ6TF6ZRQNOBNGF3M8J6W2TZ6BAYNN27WZR1VHJCUYD84J1GHBC33WS0YTOB6H9S6R:ZsBApw8IX6alGKktZtYn_psyd4jW5Cnf3Heq5KKYdBCdPK7FqK1VLWWaJ9mP0k1Tg8tqiHscFSrgZzwprFi7SavQIkkD9sabfCHHay8uD-ivJgs2z6fhYNginF_7orofSw4dfCg6wdxeQr2TnalHR1GuHh2O9Q__X8zLZE6GvOsH2voPoSPio1Q2HYruKGhUrRpGjmHi4miIkedPAFiCdXolCtKjECwNaphnzwtSVnLHXzMTXWoD9TrPAubmZ3H_X7W9VAC7IAIGv7DZXY1v18a1nAL_Y6f6dUiQqGIq7W8CEErhVJkQm681zSbpsAUOtH6urw5DG-LmQSNO0d_YKqI7sRlBY0GrGjG4xiTWpsFnxpWtOgVmsQjGbvgJFsrYQHOp2CPlT1J4SjC3msZma86xu1tybmtIQxP8cU-RS4khfeV3OzfIp6MVMUIs8LDqhcaFKSYTUIIYHC78IE9L837RTVA8X7GXPCE0V3KGBS4JU1H25HE4ABLUXMTLJZ9Z2EPN70T9IOI3FQWBX:3zoS8JoVjrxWwrF_TwdAqgwchJvHzAWSMYDVrgL6j1ge2PDMVD941ukgQc7vnm4j20rtm7Vp9gbUpgMbYyZq_sF-HwyP_6oujm36GZbmUhDCIqfS52Dv6mmuxs9YVlBUZgecpPuDe2gP5-_dQQ0SzmqyAPvaYcYeNxxtFUWsGrV0oDWayTVfd-TE8kxDjgmg8EOvF3gu4NyPgiT_OkFRaYIjOgQ20XIqXzO__NmQFwBk5Y0v1WB42Slv6S5ljmjbmMvalKAW-e1us7PDthFHub16FGGUQq38a2n4BocZLPFkk0UTK4UtAfx93j9po9I9XCdB5tXJGLMw9EIxXMIqAn8HA-84tzsEMFMo4iHG0UUCCnRsXZ0VLcRn7"); ?>

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)
8.3.7	0.006	0.009	18.36
8.3.6	0.011	0.007	18.38
8.3.5	0.013	0.007	21.21
8.3.4	0.004	0.011	18.80
8.3.3	0.000	0.015	18.45
8.3.2	0.002	0.005	20.39
8.3.1	0.007	0.000	23.59
8.3.0	0.000	0.007	19.56
8.2.18	0.009	0.009	18.41
8.2.17	0.010	0.010	22.96
8.2.16	0.010	0.003	20.32
8.2.15	0.008	0.000	24.18
8.2.14	0.005	0.003	24.66
8.2.13	0.011	0.007	26.16
8.2.12	0.004	0.004	17.50
8.2.11	0.000	0.009	22.13
8.2.10	0.006	0.006	17.50
8.2.9	0.008	0.000	19.23
8.2.8	0.000	0.008	17.97
8.2.7	0.000	0.010	17.50
8.2.6	0.004	0.004	17.80
8.2.5	0.006	0.003	18.07
8.2.4	0.000	0.008	19.36
8.2.3	0.004	0.004	19.78
8.2.2	0.000	0.007	17.50
8.2.1	0.004	0.004	17.88
8.2.0	0.002	0.005	17.99
8.1.28	0.016	0.003	25.92
8.1.27	0.004	0.004	20.24
8.1.26	0.004	0.004	26.35
8.1.25	0.007	0.000	28.09
8.1.24	0.006	0.003	22.58
8.1.23	0.007	0.004	17.42
8.1.22	0.000	0.008	17.74
8.1.21	0.003	0.005	18.77
8.1.20	0.004	0.004	17.23
8.1.19	0.008	0.000	16.74
8.1.18	0.008	0.000	18.10
8.1.17	0.000	0.008	18.71
8.1.16	0.000	0.007	21.92
8.1.15	0.000	0.007	18.67
8.1.14	0.005	0.003	17.23
8.1.13	0.000	0.007	17.57
8.1.12	0.000	0.007	17.39
8.1.11	0.004	0.004	17.39
8.1.10	0.004	0.004	17.26
8.1.9	0.007	0.000	17.25
8.1.8	0.007	0.000	17.40
8.1.7	0.003	0.003	17.36
8.1.6	0.003	0.005	17.41
8.1.5	0.003	0.005	17.39
8.1.4	0.008	0.003	17.41
8.1.3	0.000	0.009	17.54
8.1.2	0.004	0.004	17.46
8.1.1	0.004	0.004	17.52
8.1.0	0.006	0.003	17.49
8.0.30	0.000	0.008	18.77
8.0.29	0.004	0.004	16.63
8.0.28	0.000	0.007	18.27
8.0.27	0.003	0.003	17.11
8.0.26	0.003	0.003	17.20
8.0.25	0.000	0.008	16.89
8.0.24	0.003	0.005	16.91
8.0.23	0.003	0.003	16.76
8.0.22	0.007	0.000	16.85
8.0.21	0.003	0.003	16.67
8.0.20	0.004	0.004	16.87
8.0.19	0.000	0.009	16.74
8.0.18	0.003	0.006	16.63
8.0.17	0.004	0.004	16.83
8.0.16	0.000	0.007	16.84
8.0.15	0.005	0.002	16.74
8.0.14	0.005	0.002	16.70
8.0.13	0.000	0.006	13.38
8.0.12	0.003	0.005	16.77
8.0.11	0.004	0.004	16.79
8.0.10	0.004	0.004	16.77
8.0.9	0.004	0.004	16.68
8.0.8	0.000	0.015	16.69
8.0.7	0.000	0.007	16.66
8.0.6	0.004	0.004	16.92
8.0.5	0.007	0.000	16.74
8.0.3	0.010	0.009	16.86
8.0.2	0.008	0.013	17.40
8.0.1	0.004	0.004	16.77
8.0.0	0.010	0.007	16.75
7.4.33	0.005	0.000	15.09
7.4.32	0.000	0.007	16.38
7.4.30	0.003	0.003	16.34
7.4.29	0.003	0.003	16.52
7.4.28	0.000	0.008	16.55
7.4.27	0.004	0.004	16.53
7.4.26	0.000	0.007	16.44
7.4.25	0.004	0.003	16.47
7.4.24	0.002	0.005	16.40
7.4.23	0.007	0.000	16.34
7.4.22	0.006	0.010	16.34
7.4.21	0.014	0.000	16.47
7.4.20	0.003	0.003	16.55
7.4.16	0.006	0.012	16.64
7.4.15	0.006	0.012	17.40
7.4.14	0.008	0.013	17.86
7.4.13	0.006	0.012	16.36
7.4.12	0.006	0.011	16.47
7.4.11	0.014	0.004	16.70
7.4.10	0.011	0.006	16.37
7.4.9	0.010	0.007	16.30
7.4.8	0.009	0.011	19.39
7.4.7	0.006	0.018	16.30
7.4.6	0.007	0.010	16.30
7.4.5	0.000	0.008	16.39
7.4.4	0.013	0.003	16.43
7.4.3	0.013	0.008	16.43
7.4.0	0.010	0.007	14.63
7.3.33	0.005	0.000	13.02
7.3.32	0.000	0.005	13.11
7.3.31	0.004	0.004	15.96
7.3.30	0.003	0.003	15.98
7.3.29	0.006	0.011	16.15
7.3.28	0.008	0.011	16.16
7.3.27	0.009	0.006	17.40
7.3.26	0.007	0.010	16.26
7.3.25	0.009	0.009	16.32
7.3.24	0.011	0.006	16.27
7.3.23	0.007	0.010	16.39
7.3.21	0.010	0.010	16.36
7.3.20	0.007	0.010	16.39
7.3.19	0.011	0.007	16.18
7.3.18	0.003	0.013	16.27
7.3.17	0.010	0.007	16.27
7.3.16	0.006	0.013	16.41
7.3.1	0.012	0.009	16.57
7.3.0	0.016	0.005	16.24
7.2.33	0.025	0.022	16.26
7.2.32	0.003	0.013	16.44
7.2.31	0.006	0.010	16.55
7.2.30	0.012	0.008	16.56
7.2.29	0.007	0.011	16.63
7.2.13	0.008	0.010	16.54
7.2.12	0.014	0.002	16.66
7.2.11	0.010	0.006	16.72
7.2.10	0.006	0.008	16.60
7.2.9	0.006	0.009	16.66
7.2.8	0.006	0.013	16.61
7.2.7	0.011	0.007	16.66
7.2.6	0.009	0.007	16.73
7.2.5	0.006	0.008	16.75
7.2.4	0.008	0.009	16.72
7.2.3	0.010	0.008	16.69
7.2.2	0.009	0.003	16.52
7.2.1	0.005	0.009	16.54
7.2.0	0.005	0.009	17.67
7.1.25	0.009	0.007	15.64
7.1.24	0.011	0.007	15.44
7.1.23	0.014	0.003	15.51
7.1.22	0.010	0.007	15.37
7.1.21	0.010	0.003	15.40
7.1.20	0.007	0.007	15.62
7.1.19	0.012	0.012	15.56
7.1.18	0.006	0.006	15.36
7.1.17	0.006	0.009	15.46
7.1.16	0.016	0.000	15.39
7.1.15	0.008	0.017	15.63
7.1.14	0.006	0.009	15.65
7.1.13	0.009	0.009	15.39
7.1.12	0.014	0.003	15.38
7.1.11	0.010	0.007	15.49
7.1.10	0.010	0.004	16.69
7.1.9	0.010	0.007	15.54
7.1.8	0.010	0.006	15.45
7.1.7	0.003	0.008	16.31
7.1.6	0.011	0.003	17.27
7.1.5	0.007	0.012	16.36
7.1.4	0.010	0.006	15.66
7.1.3	0.003	0.009	15.36
7.1.2	0.006	0.009	15.62
7.1.1	0.010	0.007	15.73
7.1.0	0.012	0.035	19.05
7.0.33	0.009	0.006	15.14
7.0.32	0.008	0.005	15.18
7.0.31	0.007	0.011	15.30
7.0.30	0.015	0.000	15.14
7.0.29	0.010	0.007	15.21
7.0.28	0.008	0.004	15.29
7.0.27	0.011	0.000	15.12
7.0.26	0.007	0.007	15.11
7.0.25	0.011	0.011	15.36
7.0.24	0.013	0.008	15.33
7.0.23	0.014	0.007	15.17
7.0.22	0.009	0.012	15.32
7.0.21	0.013	0.004	15.44
7.0.20	0.008	0.006	15.94
7.0.19	0.005	0.016	15.29
7.0.18	0.016	0.004	15.54
7.0.17	0.015	0.004	15.52
7.0.16	0.019	0.007	15.30
7.0.15	0.009	0.014	15.26
7.0.14	0.014	0.005	15.41
7.0.13	0.016	0.005	15.26
7.0.12	0.019	0.000	15.50
7.0.11	0.014	0.009	15.44
7.0.10	0.004	0.011	14.93
7.0.9	0.011	0.000	15.34
7.0.8	0.003	0.010	15.09
7.0.7	0.008	0.008	15.09
7.0.6	0.008	0.043	17.64
7.0.5	0.015	0.037	16.62
7.0.4	0.007	0.025	16.98
7.0.3	0.021	0.027	16.48
7.0.2	0.015	0.042	16.63
7.0.1	0.007	0.047	16.63
7.0.0	0.007	0.045	16.54
5.6.38	0.012	0.003	14.58
5.6.37	0.011	0.004	14.46
5.6.36	0.009	0.013	14.50
5.6.35	0.008	0.011	14.43
5.6.34	0.014	0.005	14.29
5.6.33	0.006	0.014	14.31
5.6.32	0.006	0.010	14.00
5.6.31	0.011	0.005	14.66
5.6.30	0.006	0.008	13.91
5.6.29	0.007	0.010	14.14
5.6.28	0.005	0.039	17.49
5.6.27	0.009	0.006	13.98
5.6.26	0.006	0.011	13.93
5.6.25	0.015	0.000	13.72
5.6.24	0.009	0.005	14.09
5.6.23	0.007	0.007	14.29
5.6.22	0.012	0.000	14.18
5.6.21	0.008	0.036	17.35
5.6.20	0.009	0.034	16.23
5.6.19	0.005	0.030	17.35
5.6.18	0.017	0.047	17.29
5.6.17	0.015	0.027	17.34
5.6.16	0.006	0.043	17.44
5.6.15	0.008	0.023	16.07
5.6.14	0.005	0.043	16.11
5.6.13	0.005	0.028	16.16
5.6.12	0.006	0.046	17.51
5.6.11	0.009	0.044	17.55
5.6.10	0.003	0.050	17.49
5.6.9	0.010	0.040	17.48
5.6.8	0.009	0.022	17.18
5.6.7	0.223	0.021	17.14
5.6.6	0.007	0.004	13.97
5.6.5	0.008	0.004	14.08
5.6.4	0.009	0.003	14.20
5.6.3	0.006	0.009	14.40
5.6.2	0.004	0.007	14.00
5.6.1	0.003	0.010	14.27
5.6.0	0.000	0.014	13.91
5.5.38	0.006	0.003	10.90
5.5.37	0.006	0.003	11.07
5.5.36	0.000	0.011	10.90
5.5.35	0.013	0.038	15.76
5.5.34	0.008	0.020	14.47
5.5.33	0.010	0.033	15.53
5.5.32	0.022	0.039	15.51
5.5.31	0.015	0.023	15.55
5.5.30	0.009	0.038	14.44
5.5.29	0.005	0.023	14.46
5.5.28	0.009	0.028	15.83
5.5.27	0.005	0.030	15.86
5.5.26	0.013	0.042	15.89
5.5.25	0.006	0.020	15.74
5.5.24	0.003	0.040	15.59
5.5.23	0.005	0.005	10.90
5.5.22	0.006	0.000	10.90
5.5.21	0.000	0.011	10.90
5.5.20	0.007	0.003	10.90
5.5.19	0.005	0.005	10.90
5.5.18	0.000	0.011	10.90
5.5.17	0.003	0.006	10.90
5.5.16	0.003	0.003	10.90
5.5.15	0.006	0.006	10.93
5.5.14	0.004	0.007	10.90
5.5.13	0.005	0.005	10.90
5.5.12	0.006	0.006	10.90
5.5.11	0.000	0.012	10.90
5.5.10	0.003	0.003	10.90
5.5.9	0.006	0.003	10.90
5.5.8	0.006	0.006	10.90
5.5.7	0.003	0.009	10.90
5.5.6	0.004	0.004	11.08
5.5.5	0.007	0.004	10.95
5.5.4	0.000	0.008	11.06
5.5.3	0.000	0.008	10.93
5.5.2	0.000	0.011	11.07
5.5.1	0.003	0.003	11.00
5.5.0	0.006	0.003	10.90
5.4.45	0.030	0.032	15.18
5.4.44	0.037	0.029	15.19
5.4.43	0.037	0.027	15.15
5.4.42	0.049	0.020	15.29
5.4.41	0.032	0.028	15.18
5.4.40	0.037	0.023	14.85
5.4.39	0.031	0.031	14.91
5.4.38	0.041	0.041	15.00
5.4.37	0.041	0.030	14.99
5.4.36	0.044	0.026	15.04
5.4.35	0.033	0.033	15.06
5.4.34	0.040	0.027	15.04
5.4.33	0.006	0.000	10.90
5.4.32	0.040	0.027	15.03
5.4.31	0.032	0.028	15.03
5.4.30	0.030	0.033	15.08
5.4.29	0.035	0.027	14.99
5.4.28	0.032	0.030	15.05
5.4.27	0.035	0.028	14.84
5.4.26	0.030	0.032	14.98
5.4.25	0.030	0.031	15.01
5.4.24	0.038	0.025	14.90
5.4.23	0.035	0.025	15.03
5.4.22	0.030	0.033	14.98
5.4.21	0.033	0.029	14.94
5.4.20	0.030	0.029	15.01
5.4.19	0.038	0.023	14.83
5.4.18	0.030	0.029	15.08
5.4.17	0.037	0.027	15.09
5.4.16	0.036	0.027	14.89
5.4.15	0.035	0.033	14.82
5.4.14	0.031	0.034	13.71
5.4.13	0.038	0.023	13.68
5.4.12	0.035	0.026	13.67
5.4.11	0.032	0.029	13.67
5.4.10	0.032	0.028	13.65
5.4.9	0.035	0.028	13.70
5.4.8	0.034	0.026	13.63
5.4.7	0.013	0.040	13.60
5.4.6	0.012	0.036	13.66
5.4.5	0.005	0.032	13.61
5.4.4	0.002	0.025	13.65
5.4.3	0.002	0.020	13.48
5.4.2	0.005	0.036	13.71
5.4.1	0.003	0.003	10.90
5.4.0	0.004	0.008	10.90