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[AST] Add 'SixList' #5818

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[AST] Add 'SixList' #5818

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Another one of those.

@effectfully effectfully added Evaluation AST Performance EXPERIMENT Experiments that we probably don't want to merge labels Mar 4, 2024
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/benchmark marlowe

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github-actions bot commented Mar 4, 2024

Click here to check the status of your benchmark.

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github-actions bot commented Mar 4, 2024

Comparing benchmark results of 'marlowe' on '1f9b73f94' (base) and '2242f728c' (PR)

Results table
Script 1f9b73f 2242f72 Change
semantics/ffdd68a33afd86f8844c9f5e45b2bda5b035aa02274161b23d57709c0f8b8de6 913.0 μs 922.0 μs +1.0%
semantics/f339f59bdf92495ed2b14e2e4d3705972b4dda59aa929cffe0f1ff5355db8d79 4.505 ms 4.402 ms -2.3%
semantics/f2a8fd2014922f0d8e01541205d47e9bb2d4e54333bdd408cbe7c47c55e73ae4 696.1 μs 701.1 μs +0.7%
semantics/ecb5e8308b57724e0f8533921693f111eba942123cf8660aac2b5bac21ec28f0 635.0 μs 641.7 μs +1.1%
semantics/eb4a605ed3a64961e9e66ad9631c2813dadf7131740212762ae4483ec749fe1d 287.1 μs 291.4 μs +1.5%
semantics/e9234d2671760874f3f660aae5d3416d18ce6dfd7af4231bdd41b9ec268bc7e1 911.5 μs 902.4 μs -1.0%
semantics/e3afd22d01ff12f381cf915fd32358634e6c413f979f2492cf3339319d8cc079 291.3 μs 294.0 μs +0.9%
semantics/e34b48f80d49360e88c612f4016f7d68cb5678dd8cd5ddb981375a028b3a40a5 388.0 μs 390.5 μs +0.6%
semantics/e26c1cddba16e05fd10c34cbdb16ea6acdbac7c8323256c31c90c520ee6a1080 364.3 μs 365.2 μs +0.2%
semantics/dd11ae574eaeab0e9925319768989313a93913fdc347c704ddaa27042757d990 731.5 μs 738.8 μs +1.0%
semantics/dc241ac6ad1e04fb056d555d6a4f2d08a45d054c6f7f34355fcfeefebef479f3 447.7 μs 452.9 μs +1.2%
semantics/d64607eb8a1448595081547ea8780886fcbd9e06036460eea3705c88ea867e33 289.5 μs 290.6 μs +0.4%
semantics/d1c03759810747b7cab38c4296593b38567e11195d161b5bb0a2b58f89b2c65a 965.3 μs 981.4 μs +1.7%
semantics/d1ab832dfab25688f8845bec9387e46ee3f00ba5822197ade7dd540489ec5e95 37.86 ms 37.04 ms -2.2%
semantics/cf542b7df466b228ca2197c2aaa89238a8122f3330fe5b77b3222f570395d9f5 474.3 μs 481.0 μs +1.4%
semantics/ced1ea04649e093a501e43f8568ac3e6b37cd3eccec8cac9c70a4857b88a5eb8 811.0 μs 819.8 μs +1.1%
semantics/cdb9d5c233b288a5a9dcfbd8d5c1831a0bb46eec7a26fa31b80ae69d44805efc 847.0 μs 861.4 μs +1.7%
semantics/ccab11ce1a8774135d0e3c9e635631b68af9e276b5dabc66ff669d5650d0be1c 973.7 μs 955.0 μs -1.9%
semantics/c9efcb705ee057791f7c18a1de79c49f6e40ba143ce0579f1602fd780cabf153 782.9 μs 793.9 μs +1.4%
semantics/c4bb185380df6e9b66fc1ee0564f09a8d1253a51a0c0c7890f2214df9ac19274 704.1 μs 713.3 μs +1.3%
semantics/bb5345bfbbc460af84e784b900ec270df1948bb1d1e29eacecd022eeb168b315 922.6 μs 932.7 μs +1.1%
semantics/b50170cea48ee84b80558c02b15c6df52faf884e504d2c410ad63ba46d8ca35c 735.2 μs 747.3 μs +1.6%
semantics/b21a4df3b0266ad3481a26d3e3d848aad2fcde89510b29cccce81971e38e0835 1.290 ms 1.304 ms +1.1%
semantics/ad6db94ed69b7161c7604568f44358e1cc11e81fea90e41afebd669e51bb60c8 570.2 μs 576.2 μs +1.1%
semantics/acce04815e8fd51be93322888250060da173eccf3df3a605bd6bc6a456cde871 281.3 μs 282.6 μs +0.5%
semantics/acb9c83c2b78dabef8674319ad69ba54912cd9997bdf2d8b2998c6bfeef3b122 636.1 μs 644.7 μs +1.4%
semantics/a9a853b6d083551f4ed2995551af287880ef42aee239a2d9bc5314d127cce592 493.0 μs 494.6 μs +0.3%
semantics/a85173a832db3ea944fafc406dfe3fa3235254897d6d1d0e21bc380147687bd5 354.1 μs 357.5 μs +1.0%
semantics/9fabc4fc3440cdb776b28c9bb1dd49c9a5b1605fe1490aa3f4f64a3fa8881b25 968.5 μs 975.7 μs +0.7%
semantics/96e1a2fa3ceb9a402f2a5841a0b645f87b4e8e75beb636692478ec39f74ee221 293.3 μs 292.9 μs -0.1%
semantics/8d9ae67656a2911ab15a8e5301c960c69aa2517055197aff6b60a87ff718d66c 355.8 μs 359.0 μs +0.9%
semantics/8c7fdc3da6822b5112074380003524f50fb3a1ce6db4e501df1086773c6c0201 1.106 ms 1.117 ms +1.0%
semantics/82213dfdb6a812b40446438767c61a388d2c0cfd0cbf7fd4a372b0dc59fa17e1 1.209 ms 1.207 ms -0.2%
semantics/7cbc5644b745f4ea635aca42cce5e4a4b9d2e61afdb3ac18128e1688c07071ba 470.2 μs 476.1 μs +1.3%
semantics/7a758e17486d1a30462c32a5d5309bd1e98322a9dcbe277c143ed3aede9d265f 492.9 μs 493.3 μs +0.1%
semantics/75a8bb183688bce447e00f435a144c835435e40a5defc6f3b9be68b70b4a3db6 658.7 μs 665.7 μs +1.1%
semantics/7529b206a78becb793da74b78c04d9d33a2540a1abd79718e681228f4057403a 770.9 μs 784.2 μs +1.7%
semantics/74c67f2f182b9a0a66c62b95d6fac5ace3f7e71ea3abfc52ffbe3ecb93436ea2 764.5 μs 775.0 μs +1.4%
semantics/71965c9ccae31f1ffc1d85aa20a356d4ed97a420954018d8301ec4f9783be0d7 457.0 μs 461.6 μs +1.0%
semantics/70f65b21b77ddb451f3df9d9fb403ced3d10e1e953867cc4900cc25e5b9dec47 743.5 μs 745.4 μs +0.3%
semantics/6d88f7294dd2b5ce02c3dc609bc7715bd508009738401d264bf9b3eb7c6f49c1 472.7 μs 477.4 μs +1.0%
semantics/67ba5a9a0245ee3aff4f34852b9889b8c810fccd3dce2a23910bddd35c503b71 5.698 ms 5.623 ms -1.3%
semantics/675d63836cad11b547d1b4cddd498f04c919d4342612accf40913f9ae9419fac 986.8 μs 999.3 μs +1.3%
semantics/66af9e473d75e3f464971f6879cc0f2ef84bafcb38fbfa1dbc31ac2053628a38 1.267 ms 1.275 ms +0.6%
semantics/65bc4b69b46d18fdff0fadbf00dd5ec2b3e03805fac9d5fb4ff2d3066e53fc7e 2.307 ms 2.269 ms -1.6%
semantics/64c3d5b43f005855ffc4d0950a02fd159aa1575294ea39061b81a194ebb9eaae 645.9 μs 650.5 μs +0.7%
semantics/5f3d46c57a56cef6764f96c9de9677ac6e494dd7a4e368d1c8dd9c1f7a4309a5 472.6 μs 476.9 μs +0.9%
semantics/5f306b4b24ff2b39dab6cdc9ac6ca9bb442c1dc6f4e7e412eeb5a3ced42fb642 732.6 μs 739.7 μs +1.0%
semantics/5f130d19918807b60eab4c03119d67878fb6c6712c28c54f5a25792049294acc 292.3 μs 294.3 μs +0.7%
semantics/5e2c68ac9f62580d626636679679b97109109df7ac1a8ce86d3e43dfb5e4f6bc 497.3 μs 503.0 μs +1.1%
semantics/5e274e0f593511543d41570a4b03646c1d7539062b5728182e073e5760561a66 959.3 μs 971.3 μs +1.3%
semantics/5d0a88250f13c49c20e146819357a808911c878a0e0a7d6f7fe1d4a619e06112 994.7 μs 1.001 ms +0.6%
semantics/5abae75af26f45658beccbe48f7c88e74efdfc0b8409ba1e98f95fa5b6caf999 470.8 μs 475.4 μs +1.0%
semantics/57728d8b19b0e06412786f3dfed9e1894cd0ad1d2bc2bd497ec0ecb68f989d2b 288.7 μs 290.5 μs +0.6%
semantics/56333d4e413dbf1a665463bf68067f63c118f38f7539b7ba7167d577c0c8b8ce 747.1 μs 760.3 μs +1.8%
semantics/55dfe42688ad683b638df1fa7700219f00f53b335a85a2825502ab1e0687197e 289.1 μs 291.1 μs +0.7%
semantics/53ed4db7ab33d6f907eec91a861d1188269be5ae1892d07ee71161bfb55a7cb7 355.1 μs 358.0 μs +0.8%
semantics/52df7c8dfaa5f801cd837faa65f2fd333665fff00a555ce8c55e36ddc003007a 348.0 μs 351.9 μs +1.1%
semantics/4f9e8d361b85e62db2350dd3ae77463540e7af0d28e1eb68faeecc45f4655f57 393.0 μs 397.0 μs +1.0%
semantics/4d7adf91bfc93cebe95a7e054ec17cfbb912b32bd8aecb48a228b50e02b055c8 660.3 μs 670.0 μs +1.5%
semantics/4c3efd13b6c69112a8a888372d56c86e60c232125976f29b1c3e21d9f537845c 973.8 μs 982.7 μs +0.9%
semantics/44a9e339fa25948b48637fe7e10dcfc6d1256319a7b5ce4202cb54dfef8e37e7 288.4 μs 291.0 μs +0.9%
semantics/3db496e6cd39a8b888a89d0de07dace4397878958cab3b9d9353978b08c36d8a 779.4 μs 786.9 μs +1.0%
semantics/3bb75b2e53eb13f718eacd3263ab4535f9137fabffc9de499a0de7cabb335479 289.3 μs 290.5 μs +0.4%
semantics/383683bfcecdab0f4df507f59631c702bd11a81ca3841f47f37633e8aacbb5de 734.9 μs 739.3 μs +0.6%
semantics/33c3efd79d9234a78262b52bc6bbf8124cb321a467dedb278328215167eca455 605.1 μs 611.4 μs +1.0%
semantics/331e4a1bb30f28d7073c54f9a13c10ae19e2e396c299a0ce101ee6bf4b2020db 445.1 μs 450.1 μs +1.1%
semantics/322acde099bc34a929182d5b894214fc87ec88446e2d10625119a9d17fa3ec3d 292.3 μs 294.2 μs +0.7%
semantics/30aa34dfbe89e0c43f569929a96c0d2b74c321d13fec0375606325eee9a34a6a 1.105 ms 1.117 ms +1.1%
semantics/2f58c9d884813042bce9cf7c66048767dff166785e8b5183c8139db2aa7312d1 743.4 μs 746.3 μs +0.4%
semantics/2cb21612178a2d9336b59d06cbf80488577463d209a453048a66c6eee624a695 741.6 μs 748.7 μs +1.0%
semantics/28fdce478e179db0e38fb5f3f4105e940ece450b9ce8a0f42a6e313b752e6f2c 880.0 μs 876.3 μs -0.4%
semantics/2797d7ac77c1b6aff8e42cf9a47fa86b1e60f22719a996871ad412cbe4de78b5 1.785 ms 1.731 ms -3.0%
semantics/26e24ee631a6d927ea4fb4fac530cfd82ff7636986014de2d2aaa460ddde0bc3 545.9 μs 546.0 μs +0.0%
semantics/238b21364ab5bdae3ddb514d7001c8feba128b4ddcf426852b441f9a9d02c882 289.4 μs 291.5 μs +0.7%
semantics/21953bf8798b28df60cb459db24843fb46782b19ba72dc4951941fb4c20d2263 356.0 μs 357.2 μs +0.3%
semantics/202d273721330b31193405101e0637202e2a0f1140211c3e3f171e26312b0220 5.633 ms 5.565 ms -1.2%
semantics/1f0f02191604101e1f201016171604060d010d1d1c150e110a110e1006160a0d 985.0 μs 963.3 μs -2.2%
semantics/1d6e3c137149a440f35e0efc685b16bfb8052ebcf66ec4ad77e51c11501381c7 292.6 μs 294.1 μs +0.5%
semantics/1d56060c3b271226064c672a282663643b1b0823471c67737f0b076870331260 742.3 μs 748.9 μs +0.9%
semantics/1a573aed5c46d637919ccb5548dfc22a55c9fc38298d567d15ee9f2eea69d89e 873.6 μs 881.5 μs +0.9%
semantics/1a2f2540121f09321216090b2b1f211e3f020c2c133a1a3c3f3c232a26153a04 291.9 μs 293.3 μs +0.5%
semantics/18cefc240debc0fcab14efdd451adfd02793093efe7bc76d6322aed6ddb582ad 709.9 μs 717.5 μs +1.1%
semantics/12910f24d994d451ff379b12c9d1ecdb9239c9b87e5d7bea570087ec506935d5 475.0 μs 478.7 μs +0.8%
semantics/119fbea4164e2bf21d2b53aa6c2c4e79414fe55e4096f5ce2e804735a7fbaf91 713.9 μs 719.0 μs +0.7%
semantics/0f1d0110001b121d051e15140c0c05141d151c1f1d201c040f10091b020a0e1a 457.3 μs 459.6 μs +0.5%
semantics/0be82588e4e4bf2ef428d2f44b7687bbb703031d8de696d90ec789e70d6bc1d8 1.311 ms 1.326 ms +1.1%
semantics/0bcfd9487614104ec48de2ea0b2c0979866a95115748c026f9ec129384c262c4 1.067 ms 1.075 ms +0.7%
semantics/07070c070510030509010e050d00040907050e0a0d06030f1006030701020607 968.8 μs 983.0 μs +1.5%
semantics/0705030002040601010206030604080208020207000101060706050502040301 1.030 ms 1.038 ms +0.8%
semantics/0543a00ba1f63076c1db6bf94c6ff13ae7d266dd7544678743890b0e8e1add63 964.9 μs 969.4 μs +0.5%
semantics/04000f0b04051006000e060f09080d0b090d0104050a0b0f0506070f0a070008 707.5 μs 712.9 μs +0.8%
semantics/0104010200020000040103020102020004040300030304040400010301040303 733.7 μs 744.7 μs +1.5%
semantics/0101080808040600020306010000000302050807010208060100070207080202 742.4 μs 749.6 μs +1.0%
semantics/0101020201010201010200010102000201000201010102000102010201010000 288.9 μs 291.0 μs +0.7%
semantics/0101010001010101010101000100010100000001010000010001000001000101 889.4 μs 876.6 μs -1.4%
semantics/004025fd712d6c325ffa12c16d157064192992faf62e0b991d7310a2f91666b8 759.0 μs 762.7 μs +0.5%
semantics/0003040402030103010203030303000200000104030002040304020400000102 992.0 μs 1.007 ms +1.5%
semantics/0001000101000000010101000001000001010101010100000001000001010000 438.9 μs 438.0 μs -0.2%
semantics/0000020002010200020101020201000100010001020101020201010000020102 310.5 μs 310.9 μs +0.1%
role-payout/ff38b1ec89952d0247630f107a90cbbeb92ecbfcd19b284f60255718e4ec7548 180.6 μs 183.6 μs +1.7%
role-payout/fc8c5f45ffcdb024c21e0f34b22c23de8045a94d5e1a5bda1555c45ddb059f82 155.5 μs 157.3 μs +1.2%
role-payout/f7275afb60e33a550df13a132102e7e925dd28965a4efbe510a89b077ff9417f 149.7 μs 151.4 μs +1.1%
role-payout/f53e8cafe26647ccce51e4c31db13608aea1f39034c0f52dee2e5634ef66e747 164.7 μs 167.2 μs +1.5%
role-payout/f2932e4ca4bbb94b0a9ffbe95fcb7bd5639d9751d75d56d5e14efa5bbed981df 147.1 μs 147.3 μs +0.1%
role-payout/f1a1e6a487f91feca5606f72bbb1e948c71abf043c6a0ea83bfea9ec6a0f08d8 148.8 μs 151.1 μs +1.5%
role-payout/ee3962fbd7373360f46decef3c9bda536a0b1daf6cda3b8a4bcfd6deeb5b4c53 174.8 μs 176.2 μs +0.8%
role-payout/ec4712ee820eb959a43ebedfab6735f2325fa52994747526ffd2a4f4f84dd58e 171.6 μs 173.8 μs +1.3%
role-payout/eabeeae18131af89fa57936c0e9eb8d2c7adba534f7e1a517d75410028fa0d6c 150.0 μs 151.6 μs +1.1%
role-payout/df487b2fd5c1583fa33644423849bc1ab5f02f37edc0c235f34ef01cb12604f6 155.9 μs 158.2 μs +1.5%
role-payout/dc45c5f1b700b1334db99f50823321daaef0e6925b9b2fabbc9df7cde65af62e 154.3 μs 156.8 μs +1.6%
role-payout/da353bf9219801fa1bf703fc161497570954e9af7e10ffe95c911a9ef97e77bd 155.3 μs 156.7 μs +0.9%
role-payout/d6bc8ac4155e22300085784148bbc9d9bbfea896e1009dd396610a90e3943032 174.5 μs 176.9 μs +1.4%
role-payout/d5cda74eb0947e025e02fb8ed365df39d0a43e4b42cd3573ac2d8fcb29115997 165.6 μs 168.1 μs +1.5%
role-payout/cc1e82927f6c65b3e912200ae30588793d2066e1d4a6627c21955944ac9bd528 172.4 μs 173.1 μs +0.4%
role-payout/cb2ab8e22d1f64e8d204dece092e90e9bf1fa8b2a6e9cba5012dbe4978065832 149.0 μs 150.6 μs +1.1%
role-payout/caa409c40e39aed9b0f59214b4baa178c375526dea6026b4552b88d2cc729716 140.6 μs 141.9 μs +0.9%
role-payout/c99ecc2146ce2066ba6dffc734923264f8794815acbc2ec74c2c2c42ba272e4d 189.6 μs 193.7 μs +2.2%
role-payout/c78eeba7681d2ab51b4758efa4c812cc041928837c6e7563d8283cce67ce2e02 161.4 μs 162.1 μs +0.4%
role-payout/c4d4c88c5fe378a25a034025994a0d0b1642f10c8e6e513f872327fa895bfc7e 162.5 μs 164.7 μs +1.4%
role-payout/c11490431db3a92efdda70933ba411a0423935e73a75c856e326dbcf6672f3bf 149.8 μs 150.4 μs +0.4%
role-payout/bd79f4a84db23b7c4cd219d498bd581e085cbc3437957e74a8862281a700700b 173.4 μs 175.3 μs +1.1%
role-payout/bd460b7549b70c52e37b312a4242041eac18fe4a266f018bcea0c78a9085a271 174.1 μs 176.0 μs +1.1%
role-payout/bcdbc576d63b0454100ad06893812edafc2e7e4934fec1b44e2d06eb34f36eb8 149.2 μs 150.3 μs +0.7%
role-payout/b869f3928200061abb1c3060425b9354b0e08cbf4400b340b8707c14b34317cd 224.1 μs 230.4 μs +2.8%
role-payout/b6243a5b4c353ce4852aa41705111d57867d2783eeef76f6d59beb2360da6e90 208.2 μs 209.9 μs +0.8%
role-payout/b43564af5f13cc5208b92b1ad6d45369446f378d3891e5cb3e353b30d4f3fb10 150.1 μs 151.4 μs +0.9%
role-payout/af2e072b5adfaa7211e0b341e1f7319c4f4e7364a4247c9247132a927e914753 178.3 μs 179.5 μs +0.7%
role-payout/a92b4072cb8601fa697e1150c08463b14ffced54eb963df08d322216e27373cb 150.0 μs 150.8 μs +0.5%
role-payout/a7cb09f417c3f089619fe25b7624392026382b458486129efcff18f8912bf302 148.2 μs 149.2 μs +0.7%
role-payout/a6f064b83b31032ea7f25921364727224707268e472a569f584cc6b1d8c017e8 149.8 μs 151.4 μs +1.1%
role-payout/a6664a2d2a82f370a34a36a45234f6b33120a39372331678a3b3690312560ce9 188.7 μs 192.6 μs +2.1%
role-payout/a27524cfad019df45e4e8316f927346d4cc39da6bdd294fb2c33c3f58e6a8994 148.5 μs 149.8 μs +0.9%
role-payout/a1b25347409c3993feca1a60b6fcaf93d1d4bbaae19ab06fdf50cedc26cee68d 143.9 μs 145.3 μs +1.0%
role-payout/a0fba5740174b5cd24036c8b008cb1efde73f1edae097b9325c6117a0ff40d3b 167.5 μs 169.9 μs +1.4%
role-payout/a004a989c005d59043f996500e110fa756ad1b85800b889d5815a0106388e1d7 159.3 μs 160.1 μs +0.5%
role-payout/996804e90f2c75fe68886fc8511304b8ab9b36785f8858f5cb098e91c159dde9 153.8 μs 155.8 μs +1.3%
role-payout/962c2c658b19904372984a56409707401e64e9b03c1986647134cfd329ec5139 163.6 μs 165.7 μs +1.3%
role-payout/8c0fa5d9d6724c5c72c67e055d4bfc36a385ded7c3c81c08cdbd8705829af6e6 181.4 μs 183.1 μs +0.9%
role-payout/87167fc5469adac97c1be749326fa79a6b7862ce68aa4abcb438e3c034bd0899 182.0 μs 184.8 μs +1.5%
role-payout/803eae94d62e2afc0e835c204af8362170301bc329e2d849d5f5a47dddf479ec 172.7 μs 175.6 μs +1.7%
role-payout/7b1dd76edc27f00eb382bf996378155baf74d6a7c6f3d5ec837c39d29784aade 149.7 μs 151.2 μs +1.0%
role-payout/73f044f34a30f26639c58bafe952047f74c7bf1eafebab5aadf5b73cfb9024ed 148.8 μs 150.1 μs +0.9%
role-payout/6d66bddb4269bdf77392d3894da5341cf019d39787522af4f83f01285991e93c 149.7 μs 151.9 μs +1.5%
role-payout/6c364699767a84059ffd99cf718562a8c09d96e343f23dc481e8ffda13af424f 149.2 μs 151.0 μs +1.2%
role-payout/6b7bc2b9002a71b33cfd535d43f26334a283d0b9ad189b7cd74baac232c3b9fc 141.0 μs 142.1 μs +0.8%
role-payout/674b0577409957172ad85223c765d17e94c27714276c49c38dfae0a47a561a1e 144.6 μs 147.4 μs +1.9%
role-payout/6621a69217f09d91f42876a9c0cecf79de0e29bdd5b16c82c6c52cf959092ec4 167.7 μs 170.3 μs +1.6%
role-payout/622a7f3bc611b5149253c9189da022a9ff296f60a5b7c172a6dc286faa7284fa 182.3 μs 185.4 μs +1.7%
role-payout/5efe992e306e31cc857c64a62436ad2f9325acc5b4a74a8cebccdfd853ce63d2 154.6 μs 156.9 μs +1.5%
role-payout/5d4c62a0671c65a14f6a15093e3efc4f1816d95a5a58fd92486bedaae8d9526b 175.1 μs 179.1 μs +2.3%
role-payout/5ade103e9530dd0d572fe1b053ea65ad925c6ebbe321e873ace8b804363fa82c 213.2 μs 218.4 μs +2.4%
role-payout/5a2aae344e569a2c644dd9fa8c7b1f129850937eb562b7748c275f9e40bed596 148.5 μs 150.8 μs +1.5%
role-payout/5a0725d49c733130eda8bc6ed5234f7f6ff8c9dd2d201e8806125e5fbcc081f9 159.3 μs 160.7 μs +0.9%
role-payout/4fbcfdb577a56b842d6f6938187a783f71d9da7519353e3da3ef0c564e1eb344 187.5 μs 190.5 μs +1.6%
role-payout/4dd7755b6ca1f0c9747c1fc0ee4da799f6f1c07108e980bd9f820911ad711ff2 202.0 μs 206.0 μs +2.0%
role-payout/49b8275d0cb817be40865694ab05e3cfe5fc35fb43b78e7de68c1f3519b536bd 155.0 μs 156.9 μs +1.2%
role-payout/47364cfaf2c00f7d633283dce6cf84e4fd4e8228c0a0aa50e7c55f35c3ecaa1c 148.7 μs 151.3 μs +1.7%
role-payout/46f8d00030436e4da490a86b331fa6c3251425fb8c19556080e124d75bad7bd6 148.7 μs 151.2 μs +1.7%
role-payout/452e17d16222a427707fa83f63ffb79f606cc25c755a18b1e3274c964ed5ec99 181.6 μs 184.1 μs +1.4%
role-payout/4299c7fcf093a5dbfe114c188e32ca199b571a7c25cb7f766bf49f12dab308be 162.7 μs 166.1 μs +2.1%
role-payout/4121d88f14387d33ac5e1329618068e3848445cdd66b29e5ba382be2e02a174a 177.5 μs 181.0 μs +2.0%
role-payout/3897ef714bba3e6821495b706c75f8d64264c3fdaa58a3826c808b5a768c303d 151.8 μs 155.0 μs +2.1%
role-payout/371c10d2526fc0f09dbe9ed59e44dcd949270b27dc42035addd7ff9f7e0d05e7 181.2 μs 183.3 μs +1.2%
role-payout/36866914aa07cf62ef36cf2cd64c7f240e3371e27bb9fff5464301678e809c40 146.5 μs 148.5 μs +1.4%
role-payout/3569299fc986f5354d02e627a9eaa48ab46d5af52722307a0af72bae87e256dc 146.7 μs 149.0 μs +1.6%
role-payout/3565ee025317e065e8555eef288080276716366769aad89e03389f5ec4ce26d7 158.8 μs 161.2 μs +1.5%
role-payout/332c2b1c11383d1b373e1315201f1128010e0e1518332f273f141b23243f2a07 144.4 μs 146.0 μs +1.1%
role-payout/224ce46046fab9a17be4197622825f45cc0c59a6bd1604405148e43768c487ef 147.1 μs 149.1 μs +1.4%
role-payout/21a1426fb3fb3019d5dc93f210152e90b0a6e740ef509b1cdd423395f010e0ca 166.6 μs 168.7 μs +1.3%
role-payout/211e1b6c10260c4620074d2e372c260d38643a3d605f63772524034f0a4a7632 155.9 μs 157.4 μs +1.0%
role-payout/1a20b465d48a585ffd622bd8dc26a498a3c12f930ab4feab3a5064cfb3bc536a 164.5 μs 167.0 μs +1.5%
role-payout/195f522b596360690d04586a2563470f2214163435331a6622311f7323433f1c 144.8 μs 146.4 μs +1.1%
role-payout/159e5a1bf16fe984b5569be7011b61b5e98f5d2839ca7e1b34c7f2afc7ffb58e 149.8 μs 151.1 μs +0.9%
role-payout/121a0a1b12030616111f02121a0e070716090a0e031c071419121f141409031d 147.8 μs 149.0 μs +0.8%
role-payout/1138a04a83edc0579053f9ffa9394b41df38230121fbecebee8c039776a88c0c 147.8 μs 147.8 μs 0.0%
role-payout/0f010d040810040b10020e040f0e030b0a0d100f0c080c0c05000d04100c100f 174.0 μs 175.8 μs +1.0%
role-payout/0e97c9d9417354d9460f2eb35018d3904b7b035af16ab299258adab93be0911a 163.1 μs 165.7 μs +1.6%
role-payout/0e72f62b0f922e31a2340baccc768104025400cf7fdd7dae62fbba5fc770936d 168.8 μs 171.6 μs +1.7%
role-payout/0e00171d0f1e1f14070d0a00091f07101808021d081e1b120219081312081e15 150.8 μs 152.8 μs +1.3%
role-payout/0dbb692d2bf22d25eeceac461cfebf616f54003077a8473abc0457f18e025960 181.7 μs 184.7 μs +1.7%
role-payout/0d0f01050a0a0a0b0b050d0404090e0d0506000d0a041003040e0f100e0a0408 156.8 μs 159.3 μs +1.6%
role-payout/0c9d3634aeae7038f839a1262d1a8bc724dc77af9426459417a56ec73240f0e0 156.7 μs 157.9 μs +0.8%
role-payout/0bdca1cb8fa7e38e09062557b82490714052e84e2054e913092cd84ac071b961 175.6 μs 179.0 μs +1.9%
role-payout/07658a6c898ad6d624c37df1e49e909c2e9349ba7f4c0a6be5f166fe239bfcae 140.9 μs 142.6 μs +1.2%
role-payout/06317060a8e488b1219c9dae427f9ce27918a9e09ee8ac424afa33ca923f7954 158.3 μs 160.4 μs +1.3%
role-payout/057ebc80922f16a5f4bf13e985bf586b8cff37a2f6fe0f3ce842178c16981027 147.2 μs 147.5 μs +0.2%
role-payout/04f592afc6e57c633b9c55246e7c82e87258f04e2fb910c37d8e2417e9db46e5 213.1 μs 217.4 μs +2.0%
role-payout/041a2c3b111139201a3a2c173c392b170e16370d300f2d28342d0f2f0e182e01 180.0 μs 181.8 μs +1.0%
role-payout/0405010105020401010304080005050800040301010800080207080704020206 175.1 μs 177.6 μs +1.4%
role-payout/0403020000030204010000030001000202010101000304030001040404030100 158.6 μs 161.2 μs +1.6%
role-payout/03d730a62332c51c7b70c16c64da72dd1c3ea36c26b41cd1a1e00d39fda3d6cc 173.1 μs 175.0 μs +1.1%
role-payout/031d56d71454e2c4216ffaa275c4a8b3eb631109559d0e56f44ea8489f57ba97 184.7 μs 187.1 μs +1.3%
role-payout/0303020000020001010201060303040208070100050401080304020801030001 148.1 μs 148.9 μs +0.5%
role-payout/0202010002010100020102020102020001010101020102010001010101000100 150.0 μs 150.5 μs +0.3%
role-payout/0201020201020000020000010201020001020200000002010200000101010100 159.8 μs 163.1 μs +2.1%
role-payout/01dcc372ea619cb9f23c45b17b9a0a8a16b7ca0e04093ef8ecce291667a99a4c 142.9 μs 145.2 μs +1.6%
role-payout/0101000100000101010000010101000100010101000001000001000000010101 176.1 μs 178.2 μs +1.2%
role-payout/0100000100010000000001000100010101000101000001000000010000010000 237.9 μs 242.7 μs +2.0%
role-payout/0004000402010401030101030100040000010104020201030001000204020401 164.0 μs 166.2 μs +1.3%

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I hate programming.

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/benchmark nofib

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github-actions bot commented Mar 4, 2024

Click here to check the status of your benchmark.

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github-actions bot commented Mar 4, 2024

Comparing benchmark results of 'nofib' on '1f9b73f94' (base) and '2242f728c' (PR)

Results table
Script 1f9b73f 2242f72 Change
clausify/formula1 3.904 ms 2.837 ms -27.3%
clausify/formula2 5.144 ms 3.803 ms -26.1%
clausify/formula3 13.91 ms 10.34 ms -25.7%
clausify/formula4 28.63 ms 23.00 ms -19.7%
clausify/formula5 67.21 ms 49.80 ms -25.9%
knights/4x4 18.26 ms 15.67 ms -14.2%
knights/6x6 48.50 ms 39.77 ms -18.0%
knights/8x8 85.33 ms 69.21 ms -18.9%
primetest/05digits 9.133 ms 8.756 ms -4.1%
primetest/08digits 14.67 ms 14.11 ms -3.8%
primetest/10digits 17.57 ms 16.75 ms -4.7%
primetest/20digits 35.07 ms 33.71 ms -3.9%
primetest/30digits 53.88 ms 51.98 ms -3.5%
primetest/40digits 72.66 ms 70.55 ms -2.9%
primetest/50digits 88.65 ms 85.75 ms -3.3%
queens4x4/bt 5.669 ms 4.876 ms -14.0%
queens4x4/bm 7.385 ms 6.419 ms -13.1%
queens4x4/bjbt1 7.002 ms 6.042 ms -13.7%
queens4x4/bjbt2 6.492 ms 5.586 ms -14.0%
queens4x4/fc 15.20 ms 13.01 ms -14.4%
queens5x5/bt 75.99 ms 64.97 ms -14.5%
queens5x5/bm 83.06 ms 72.13 ms -13.2%
queens5x5/bjbt1 89.67 ms 76.85 ms -14.3%
queens5x5/bjbt2 86.68 ms 74.21 ms -14.4%
queens5x5/fc 193.7 ms 163.9 ms -15.4%

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^ about the same as #5816.

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/benchmark marlowe

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github-actions bot commented Mar 4, 2024

Click here to check the status of your benchmark.

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github-actions bot commented Mar 4, 2024

Comparing benchmark results of 'marlowe' on '1f9b73f94' (base) and '621af7092' (PR)

Results table
Script 1f9b73f 621af70 Change
semantics/ffdd68a33afd86f8844c9f5e45b2bda5b035aa02274161b23d57709c0f8b8de6 907.7 μs 900.0 μs -0.8%
semantics/f339f59bdf92495ed2b14e2e4d3705972b4dda59aa929cffe0f1ff5355db8d79 4.519 ms 4.563 ms +1.0%
semantics/f2a8fd2014922f0d8e01541205d47e9bb2d4e54333bdd408cbe7c47c55e73ae4 690.6 μs 689.1 μs -0.2%
semantics/ecb5e8308b57724e0f8533921693f111eba942123cf8660aac2b5bac21ec28f0 630.0 μs 627.8 μs -0.3%
semantics/eb4a605ed3a64961e9e66ad9631c2813dadf7131740212762ae4483ec749fe1d 286.2 μs 282.8 μs -1.2%
semantics/e9234d2671760874f3f660aae5d3416d18ce6dfd7af4231bdd41b9ec268bc7e1 902.3 μs 922.8 μs +2.3%
semantics/e3afd22d01ff12f381cf915fd32358634e6c413f979f2492cf3339319d8cc079 290.0 μs 287.1 μs -1.0%
semantics/e34b48f80d49360e88c612f4016f7d68cb5678dd8cd5ddb981375a028b3a40a5 384.8 μs 381.0 μs -1.0%
semantics/e26c1cddba16e05fd10c34cbdb16ea6acdbac7c8323256c31c90c520ee6a1080 361.3 μs 360.2 μs -0.3%
semantics/dd11ae574eaeab0e9925319768989313a93913fdc347c704ddaa27042757d990 727.8 μs 718.4 μs -1.3%
semantics/dc241ac6ad1e04fb056d555d6a4f2d08a45d054c6f7f34355fcfeefebef479f3 444.7 μs 440.7 μs -0.9%
semantics/d64607eb8a1448595081547ea8780886fcbd9e06036460eea3705c88ea867e33 287.0 μs 283.5 μs -1.2%
semantics/d1c03759810747b7cab38c4296593b38567e11195d161b5bb0a2b58f89b2c65a 958.8 μs 954.2 μs -0.5%
semantics/d1ab832dfab25688f8845bec9387e46ee3f00ba5822197ade7dd540489ec5e95 37.80 ms 38.46 ms +1.7%
semantics/cf542b7df466b228ca2197c2aaa89238a8122f3330fe5b77b3222f570395d9f5 472.6 μs 464.9 μs -1.6%
semantics/ced1ea04649e093a501e43f8568ac3e6b37cd3eccec8cac9c70a4857b88a5eb8 806.6 μs 799.3 μs -0.9%
semantics/cdb9d5c233b288a5a9dcfbd8d5c1831a0bb46eec7a26fa31b80ae69d44805efc 840.7 μs 838.2 μs -0.3%
semantics/ccab11ce1a8774135d0e3c9e635631b68af9e276b5dabc66ff669d5650d0be1c 975.3 μs 1.010 ms +3.6%
semantics/c9efcb705ee057791f7c18a1de79c49f6e40ba143ce0579f1602fd780cabf153 777.2 μs 773.9 μs -0.4%
semantics/c4bb185380df6e9b66fc1ee0564f09a8d1253a51a0c0c7890f2214df9ac19274 698.5 μs 691.0 μs -1.1%
semantics/bb5345bfbbc460af84e784b900ec270df1948bb1d1e29eacecd022eeb168b315 917.5 μs 908.6 μs -1.0%
semantics/b50170cea48ee84b80558c02b15c6df52faf884e504d2c410ad63ba46d8ca35c 731.8 μs 726.0 μs -0.8%
semantics/b21a4df3b0266ad3481a26d3e3d848aad2fcde89510b29cccce81971e38e0835 1.282 ms 1.273 ms -0.7%
semantics/ad6db94ed69b7161c7604568f44358e1cc11e81fea90e41afebd669e51bb60c8 564.4 μs 561.5 μs -0.5%
semantics/acce04815e8fd51be93322888250060da173eccf3df3a605bd6bc6a456cde871 278.6 μs 275.5 μs -1.1%
semantics/acb9c83c2b78dabef8674319ad69ba54912cd9997bdf2d8b2998c6bfeef3b122 631.3 μs 624.9 μs -1.0%
semantics/a9a853b6d083551f4ed2995551af287880ef42aee239a2d9bc5314d127cce592 488.7 μs 483.4 μs -1.1%
semantics/a85173a832db3ea944fafc406dfe3fa3235254897d6d1d0e21bc380147687bd5 351.8 μs 348.1 μs -1.1%
semantics/9fabc4fc3440cdb776b28c9bb1dd49c9a5b1605fe1490aa3f4f64a3fa8881b25 960.2 μs 949.4 μs -1.1%
semantics/96e1a2fa3ceb9a402f2a5841a0b645f87b4e8e75beb636692478ec39f74ee221 290.4 μs 286.8 μs -1.2%
semantics/8d9ae67656a2911ab15a8e5301c960c69aa2517055197aff6b60a87ff718d66c 353.1 μs 350.0 μs -0.9%
semantics/8c7fdc3da6822b5112074380003524f50fb3a1ce6db4e501df1086773c6c0201 1.101 ms 1.093 ms -0.7%
semantics/82213dfdb6a812b40446438767c61a388d2c0cfd0cbf7fd4a372b0dc59fa17e1 1.195 ms 1.193 ms -0.2%
semantics/7cbc5644b745f4ea635aca42cce5e4a4b9d2e61afdb3ac18128e1688c07071ba 467.9 μs 466.1 μs -0.4%
semantics/7a758e17486d1a30462c32a5d5309bd1e98322a9dcbe277c143ed3aede9d265f 487.5 μs 484.5 μs -0.6%
semantics/75a8bb183688bce447e00f435a144c835435e40a5defc6f3b9be68b70b4a3db6 654.7 μs 647.5 μs -1.1%
semantics/7529b206a78becb793da74b78c04d9d33a2540a1abd79718e681228f4057403a 765.2 μs 759.4 μs -0.8%
semantics/74c67f2f182b9a0a66c62b95d6fac5ace3f7e71ea3abfc52ffbe3ecb93436ea2 757.8 μs 755.3 μs -0.3%
semantics/71965c9ccae31f1ffc1d85aa20a356d4ed97a420954018d8301ec4f9783be0d7 453.6 μs 449.9 μs -0.8%
semantics/70f65b21b77ddb451f3df9d9fb403ced3d10e1e953867cc4900cc25e5b9dec47 734.8 μs 728.5 μs -0.9%
semantics/6d88f7294dd2b5ce02c3dc609bc7715bd508009738401d264bf9b3eb7c6f49c1 470.1 μs 465.6 μs -1.0%
semantics/67ba5a9a0245ee3aff4f34852b9889b8c810fccd3dce2a23910bddd35c503b71 5.632 ms 5.807 ms +3.1%
semantics/675d63836cad11b547d1b4cddd498f04c919d4342612accf40913f9ae9419fac 981.9 μs 969.1 μs -1.3%
semantics/66af9e473d75e3f464971f6879cc0f2ef84bafcb38fbfa1dbc31ac2053628a38 1.255 ms 1.249 ms -0.5%
semantics/65bc4b69b46d18fdff0fadbf00dd5ec2b3e03805fac9d5fb4ff2d3066e53fc7e 2.268 ms 2.405 ms +6.0%
semantics/64c3d5b43f005855ffc4d0950a02fd159aa1575294ea39061b81a194ebb9eaae 640.0 μs 636.1 μs -0.6%
semantics/5f3d46c57a56cef6764f96c9de9677ac6e494dd7a4e368d1c8dd9c1f7a4309a5 468.3 μs 463.5 μs -1.0%
semantics/5f306b4b24ff2b39dab6cdc9ac6ca9bb442c1dc6f4e7e412eeb5a3ced42fb642 727.7 μs 720.0 μs -1.1%
semantics/5f130d19918807b60eab4c03119d67878fb6c6712c28c54f5a25792049294acc 290.2 μs 286.9 μs -1.1%
semantics/5e2c68ac9f62580d626636679679b97109109df7ac1a8ce86d3e43dfb5e4f6bc 494.3 μs 488.9 μs -1.1%
semantics/5e274e0f593511543d41570a4b03646c1d7539062b5728182e073e5760561a66 952.7 μs 945.6 μs -0.7%
semantics/5d0a88250f13c49c20e146819357a808911c878a0e0a7d6f7fe1d4a619e06112 986.4 μs 977.4 μs -0.9%
semantics/5abae75af26f45658beccbe48f7c88e74efdfc0b8409ba1e98f95fa5b6caf999 467.3 μs 460.4 μs -1.5%
semantics/57728d8b19b0e06412786f3dfed9e1894cd0ad1d2bc2bd497ec0ecb68f989d2b 286.9 μs 283.8 μs -1.1%
semantics/56333d4e413dbf1a665463bf68067f63c118f38f7539b7ba7167d577c0c8b8ce 739.7 μs 737.8 μs -0.3%
semantics/55dfe42688ad683b638df1fa7700219f00f53b335a85a2825502ab1e0687197e 287.4 μs 283.7 μs -1.3%
semantics/53ed4db7ab33d6f907eec91a861d1188269be5ae1892d07ee71161bfb55a7cb7 350.6 μs 347.5 μs -0.9%
semantics/52df7c8dfaa5f801cd837faa65f2fd333665fff00a555ce8c55e36ddc003007a 345.2 μs 343.3 μs -0.6%
semantics/4f9e8d361b85e62db2350dd3ae77463540e7af0d28e1eb68faeecc45f4655f57 390.9 μs 389.7 μs -0.3%
semantics/4d7adf91bfc93cebe95a7e054ec17cfbb912b32bd8aecb48a228b50e02b055c8 655.8 μs 650.7 μs -0.8%
semantics/4c3efd13b6c69112a8a888372d56c86e60c232125976f29b1c3e21d9f537845c 966.9 μs 962.0 μs -0.5%
semantics/44a9e339fa25948b48637fe7e10dcfc6d1256319a7b5ce4202cb54dfef8e37e7 287.1 μs 284.0 μs -1.1%
semantics/3db496e6cd39a8b888a89d0de07dace4397878958cab3b9d9353978b08c36d8a 773.0 μs 769.4 μs -0.5%
semantics/3bb75b2e53eb13f718eacd3263ab4535f9137fabffc9de499a0de7cabb335479 287.2 μs 283.9 μs -1.1%
semantics/383683bfcecdab0f4df507f59631c702bd11a81ca3841f47f37633e8aacbb5de 729.1 μs 726.1 μs -0.4%
semantics/33c3efd79d9234a78262b52bc6bbf8124cb321a467dedb278328215167eca455 601.9 μs 596.9 μs -0.8%
semantics/331e4a1bb30f28d7073c54f9a13c10ae19e2e396c299a0ce101ee6bf4b2020db 441.9 μs 438.1 μs -0.9%
semantics/322acde099bc34a929182d5b894214fc87ec88446e2d10625119a9d17fa3ec3d 290.3 μs 286.5 μs -1.3%
semantics/30aa34dfbe89e0c43f569929a96c0d2b74c321d13fec0375606325eee9a34a6a 1.097 ms 1.086 ms -1.0%
semantics/2f58c9d884813042bce9cf7c66048767dff166785e8b5183c8139db2aa7312d1 735.1 μs 734.3 μs -0.1%
semantics/2cb21612178a2d9336b59d06cbf80488577463d209a453048a66c6eee624a695 735.8 μs 729.3 μs -0.9%
semantics/28fdce478e179db0e38fb5f3f4105e940ece450b9ce8a0f42a6e313b752e6f2c 871.2 μs 873.0 μs +0.2%
semantics/2797d7ac77c1b6aff8e42cf9a47fa86b1e60f22719a996871ad412cbe4de78b5 1.772 ms 1.859 ms +4.9%
semantics/26e24ee631a6d927ea4fb4fac530cfd82ff7636986014de2d2aaa460ddde0bc3 541.5 μs 537.4 μs -0.8%
semantics/238b21364ab5bdae3ddb514d7001c8feba128b4ddcf426852b441f9a9d02c882 286.6 μs 284.3 μs -0.8%
semantics/21953bf8798b28df60cb459db24843fb46782b19ba72dc4951941fb4c20d2263 352.7 μs 350.3 μs -0.7%
semantics/202d273721330b31193405101e0637202e2a0f1140211c3e3f171e26312b0220 5.574 ms 5.788 ms +3.8%
semantics/1f0f02191604101e1f201016171604060d010d1d1c150e110a110e1006160a0d 977.4 μs 1.024 ms +4.8%
semantics/1d6e3c137149a440f35e0efc685b16bfb8052ebcf66ec4ad77e51c11501381c7 291.1 μs 287.5 μs -1.2%
semantics/1d56060c3b271226064c672a282663643b1b0823471c67737f0b076870331260 738.9 μs 734.2 μs -0.6%
semantics/1a573aed5c46d637919ccb5548dfc22a55c9fc38298d567d15ee9f2eea69d89e 867.6 μs 863.4 μs -0.5%
semantics/1a2f2540121f09321216090b2b1f211e3f020c2c133a1a3c3f3c232a26153a04 290.8 μs 287.4 μs -1.2%
semantics/18cefc240debc0fcab14efdd451adfd02793093efe7bc76d6322aed6ddb582ad 707.5 μs 699.6 μs -1.1%
semantics/12910f24d994d451ff379b12c9d1ecdb9239c9b87e5d7bea570087ec506935d5 471.1 μs 464.2 μs -1.5%
semantics/119fbea4164e2bf21d2b53aa6c2c4e79414fe55e4096f5ce2e804735a7fbaf91 706.1 μs 701.6 μs -0.6%
semantics/0f1d0110001b121d051e15140c0c05141d151c1f1d201c040f10091b020a0e1a 452.5 μs 446.9 μs -1.2%
semantics/0be82588e4e4bf2ef428d2f44b7687bbb703031d8de696d90ec789e70d6bc1d8 1.300 ms 1.291 ms -0.7%
semantics/0bcfd9487614104ec48de2ea0b2c0979866a95115748c026f9ec129384c262c4 1.061 ms 1.048 ms -1.2%
semantics/07070c070510030509010e050d00040907050e0a0d06030f1006030701020607 959.9 μs 950.9 μs -0.9%
semantics/0705030002040601010206030604080208020207000101060706050502040301 1.021 ms 1.014 ms -0.7%
semantics/0543a00ba1f63076c1db6bf94c6ff13ae7d266dd7544678743890b0e8e1add63 956.1 μs 942.5 μs -1.4%
semantics/04000f0b04051006000e060f09080d0b090d0104050a0b0f0506070f0a070008 701.8 μs 695.0 μs -1.0%
semantics/0104010200020000040103020102020004040300030304040400010301040303 727.7 μs 719.7 μs -1.1%
semantics/0101080808040600020306010000000302050807010208060100070207080202 736.5 μs 731.3 μs -0.7%
semantics/0101020201010201010200010102000201000201010102000102010201010000 286.9 μs 283.6 μs -1.2%
semantics/0101010001010101010101000100010100000001010000010001000001000101 879.6 μs 892.5 μs +1.5%
semantics/004025fd712d6c325ffa12c16d157064192992faf62e0b991d7310a2f91666b8 750.1 μs 748.6 μs -0.2%
semantics/0003040402030103010203030303000200000104030002040304020400000102 985.8 μs 975.3 μs -1.1%
semantics/0001000101000000010101000001000001010101010100000001000001010000 433.1 μs 434.1 μs +0.2%
semantics/0000020002010200020101020201000100010001020101020201010000020102 307.8 μs 304.2 μs -1.2%
role-payout/ff38b1ec89952d0247630f107a90cbbeb92ecbfcd19b284f60255718e4ec7548 178.4 μs 177.7 μs -0.4%
role-payout/fc8c5f45ffcdb024c21e0f34b22c23de8045a94d5e1a5bda1555c45ddb059f82 153.6 μs 152.6 μs -0.7%
role-payout/f7275afb60e33a550df13a132102e7e925dd28965a4efbe510a89b077ff9417f 148.0 μs 147.4 μs -0.4%
role-payout/f53e8cafe26647ccce51e4c31db13608aea1f39034c0f52dee2e5634ef66e747 163.4 μs 161.8 μs -1.0%
role-payout/f2932e4ca4bbb94b0a9ffbe95fcb7bd5639d9751d75d56d5e14efa5bbed981df 145.5 μs 144.3 μs -0.8%
role-payout/f1a1e6a487f91feca5606f72bbb1e948c71abf043c6a0ea83bfea9ec6a0f08d8 147.2 μs 146.3 μs -0.6%
role-payout/ee3962fbd7373360f46decef3c9bda536a0b1daf6cda3b8a4bcfd6deeb5b4c53 172.6 μs 171.3 μs -0.8%
role-payout/ec4712ee820eb959a43ebedfab6735f2325fa52994747526ffd2a4f4f84dd58e 170.0 μs 168.3 μs -1.0%
role-payout/eabeeae18131af89fa57936c0e9eb8d2c7adba534f7e1a517d75410028fa0d6c 148.2 μs 147.2 μs -0.7%
role-payout/df487b2fd5c1583fa33644423849bc1ab5f02f37edc0c235f34ef01cb12604f6 154.1 μs 153.2 μs -0.6%
role-payout/dc45c5f1b700b1334db99f50823321daaef0e6925b9b2fabbc9df7cde65af62e 152.8 μs 151.5 μs -0.9%
role-payout/da353bf9219801fa1bf703fc161497570954e9af7e10ffe95c911a9ef97e77bd 153.3 μs 152.3 μs -0.7%
role-payout/d6bc8ac4155e22300085784148bbc9d9bbfea896e1009dd396610a90e3943032 172.1 μs 170.1 μs -1.2%
role-payout/d5cda74eb0947e025e02fb8ed365df39d0a43e4b42cd3573ac2d8fcb29115997 163.5 μs 163.6 μs +0.1%
role-payout/cc1e82927f6c65b3e912200ae30588793d2066e1d4a6627c21955944ac9bd528 170.1 μs 168.7 μs -0.8%
role-payout/cb2ab8e22d1f64e8d204dece092e90e9bf1fa8b2a6e9cba5012dbe4978065832 147.2 μs 146.9 μs -0.2%
role-payout/caa409c40e39aed9b0f59214b4baa178c375526dea6026b4552b88d2cc729716 139.6 μs 138.0 μs -1.1%
role-payout/c99ecc2146ce2066ba6dffc734923264f8794815acbc2ec74c2c2c42ba272e4d 188.1 μs 187.0 μs -0.6%
role-payout/c78eeba7681d2ab51b4758efa4c812cc041928837c6e7563d8283cce67ce2e02 159.4 μs 158.9 μs -0.3%
role-payout/c4d4c88c5fe378a25a034025994a0d0b1642f10c8e6e513f872327fa895bfc7e 161.2 μs 160.1 μs -0.7%
role-payout/c11490431db3a92efdda70933ba411a0423935e73a75c856e326dbcf6672f3bf 147.7 μs 146.0 μs -1.2%
role-payout/bd79f4a84db23b7c4cd219d498bd581e085cbc3437957e74a8862281a700700b 172.2 μs 170.8 μs -0.8%
role-payout/bd460b7549b70c52e37b312a4242041eac18fe4a266f018bcea0c78a9085a271 172.3 μs 169.7 μs -1.5%
role-payout/bcdbc576d63b0454100ad06893812edafc2e7e4934fec1b44e2d06eb34f36eb8 147.8 μs 147.5 μs -0.2%
role-payout/b869f3928200061abb1c3060425b9354b0e08cbf4400b340b8707c14b34317cd 222.7 μs 221.4 μs -0.6%
role-payout/b6243a5b4c353ce4852aa41705111d57867d2783eeef76f6d59beb2360da6e90 205.4 μs 203.8 μs -0.8%
role-payout/b43564af5f13cc5208b92b1ad6d45369446f378d3891e5cb3e353b30d4f3fb10 148.0 μs 147.1 μs -0.6%
role-payout/af2e072b5adfaa7211e0b341e1f7319c4f4e7364a4247c9247132a927e914753 176.3 μs 175.1 μs -0.7%
role-payout/a92b4072cb8601fa697e1150c08463b14ffced54eb963df08d322216e27373cb 147.9 μs 147.5 μs -0.3%
role-payout/a7cb09f417c3f089619fe25b7624392026382b458486129efcff18f8912bf302 147.2 μs 146.3 μs -0.6%
role-payout/a6f064b83b31032ea7f25921364727224707268e472a569f584cc6b1d8c017e8 147.7 μs 147.6 μs -0.1%
role-payout/a6664a2d2a82f370a34a36a45234f6b33120a39372331678a3b3690312560ce9 187.2 μs 185.6 μs -0.9%
role-payout/a27524cfad019df45e4e8316f927346d4cc39da6bdd294fb2c33c3f58e6a8994 147.0 μs 146.0 μs -0.7%
role-payout/a1b25347409c3993feca1a60b6fcaf93d1d4bbaae19ab06fdf50cedc26cee68d 142.4 μs 141.0 μs -1.0%
role-payout/a0fba5740174b5cd24036c8b008cb1efde73f1edae097b9325c6117a0ff40d3b 165.1 μs 165.2 μs +0.1%
role-payout/a004a989c005d59043f996500e110fa756ad1b85800b889d5815a0106388e1d7 157.0 μs 156.1 μs -0.6%
role-payout/996804e90f2c75fe68886fc8511304b8ab9b36785f8858f5cb098e91c159dde9 151.7 μs 150.7 μs -0.7%
role-payout/962c2c658b19904372984a56409707401e64e9b03c1986647134cfd329ec5139 162.0 μs 160.7 μs -0.8%
role-payout/8c0fa5d9d6724c5c72c67e055d4bfc36a385ded7c3c81c08cdbd8705829af6e6 179.8 μs 179.2 μs -0.3%
role-payout/87167fc5469adac97c1be749326fa79a6b7862ce68aa4abcb438e3c034bd0899 180.4 μs 178.7 μs -0.9%
role-payout/803eae94d62e2afc0e835c204af8362170301bc329e2d849d5f5a47dddf479ec 171.5 μs 169.9 μs -0.9%
role-payout/7b1dd76edc27f00eb382bf996378155baf74d6a7c6f3d5ec837c39d29784aade 147.9 μs 147.5 μs -0.3%
role-payout/73f044f34a30f26639c58bafe952047f74c7bf1eafebab5aadf5b73cfb9024ed 147.5 μs 146.9 μs -0.4%
role-payout/6d66bddb4269bdf77392d3894da5341cf019d39787522af4f83f01285991e93c 148.0 μs 147.4 μs -0.4%
role-payout/6c364699767a84059ffd99cf718562a8c09d96e343f23dc481e8ffda13af424f 147.4 μs 146.3 μs -0.7%
role-payout/6b7bc2b9002a71b33cfd535d43f26334a283d0b9ad189b7cd74baac232c3b9fc 139.3 μs 138.5 μs -0.6%
role-payout/674b0577409957172ad85223c765d17e94c27714276c49c38dfae0a47a561a1e 143.1 μs 143.0 μs -0.1%
role-payout/6621a69217f09d91f42876a9c0cecf79de0e29bdd5b16c82c6c52cf959092ec4 165.9 μs 164.9 μs -0.6%
role-payout/622a7f3bc611b5149253c9189da022a9ff296f60a5b7c172a6dc286faa7284fa 180.9 μs 180.1 μs -0.4%
role-payout/5efe992e306e31cc857c64a62436ad2f9325acc5b4a74a8cebccdfd853ce63d2 152.8 μs 152.7 μs -0.1%
role-payout/5d4c62a0671c65a14f6a15093e3efc4f1816d95a5a58fd92486bedaae8d9526b 174.6 μs 172.6 μs -1.1%
role-payout/5ade103e9530dd0d572fe1b053ea65ad925c6ebbe321e873ace8b804363fa82c 212.2 μs 211.1 μs -0.5%
role-payout/5a2aae344e569a2c644dd9fa8c7b1f129850937eb562b7748c275f9e40bed596 147.5 μs 146.2 μs -0.9%
role-payout/5a0725d49c733130eda8bc6ed5234f7f6ff8c9dd2d201e8806125e5fbcc081f9 158.1 μs 155.9 μs -1.4%
role-payout/4fbcfdb577a56b842d6f6938187a783f71d9da7519353e3da3ef0c564e1eb344 186.5 μs 185.5 μs -0.5%
role-payout/4dd7755b6ca1f0c9747c1fc0ee4da799f6f1c07108e980bd9f820911ad711ff2 200.0 μs 198.2 μs -0.9%
role-payout/49b8275d0cb817be40865694ab05e3cfe5fc35fb43b78e7de68c1f3519b536bd 153.5 μs 152.9 μs -0.4%
role-payout/47364cfaf2c00f7d633283dce6cf84e4fd4e8228c0a0aa50e7c55f35c3ecaa1c 147.2 μs 146.4 μs -0.5%
role-payout/46f8d00030436e4da490a86b331fa6c3251425fb8c19556080e124d75bad7bd6 147.5 μs 147.0 μs -0.3%
role-payout/452e17d16222a427707fa83f63ffb79f606cc25c755a18b1e3274c964ed5ec99 180.5 μs 178.0 μs -1.4%
role-payout/4299c7fcf093a5dbfe114c188e32ca199b571a7c25cb7f766bf49f12dab308be 162.0 μs 160.4 μs -1.0%
role-payout/4121d88f14387d33ac5e1329618068e3848445cdd66b29e5ba382be2e02a174a 176.8 μs 175.9 μs -0.5%
role-payout/3897ef714bba3e6821495b706c75f8d64264c3fdaa58a3826c808b5a768c303d 151.3 μs 150.0 μs -0.9%
role-payout/371c10d2526fc0f09dbe9ed59e44dcd949270b27dc42035addd7ff9f7e0d05e7 180.1 μs 177.9 μs -1.2%
role-payout/36866914aa07cf62ef36cf2cd64c7f240e3371e27bb9fff5464301678e809c40 144.9 μs 143.6 μs -0.9%
role-payout/3569299fc986f5354d02e627a9eaa48ab46d5af52722307a0af72bae87e256dc 145.0 μs 143.6 μs -1.0%
role-payout/3565ee025317e065e8555eef288080276716366769aad89e03389f5ec4ce26d7 157.3 μs 156.6 μs -0.4%
role-payout/332c2b1c11383d1b373e1315201f1128010e0e1518332f273f141b23243f2a07 142.8 μs 141.7 μs -0.8%
role-payout/224ce46046fab9a17be4197622825f45cc0c59a6bd1604405148e43768c487ef 145.4 μs 145.2 μs -0.1%
role-payout/21a1426fb3fb3019d5dc93f210152e90b0a6e740ef509b1cdd423395f010e0ca 165.4 μs 163.6 μs -1.1%
role-payout/211e1b6c10260c4620074d2e372c260d38643a3d605f63772524034f0a4a7632 154.2 μs 153.1 μs -0.7%
role-payout/1a20b465d48a585ffd622bd8dc26a498a3c12f930ab4feab3a5064cfb3bc536a 163.0 μs 161.2 μs -1.1%
role-payout/195f522b596360690d04586a2563470f2214163435331a6622311f7323433f1c 143.9 μs 142.2 μs -1.2%
role-payout/159e5a1bf16fe984b5569be7011b61b5e98f5d2839ca7e1b34c7f2afc7ffb58e 148.2 μs 146.9 μs -0.9%
role-payout/121a0a1b12030616111f02121a0e070716090a0e031c071419121f141409031d 146.6 μs 145.8 μs -0.5%
role-payout/1138a04a83edc0579053f9ffa9394b41df38230121fbecebee8c039776a88c0c 145.4 μs 145.2 μs -0.1%
role-payout/0f010d040810040b10020e040f0e030b0a0d100f0c080c0c05000d04100c100f 172.6 μs 171.1 μs -0.9%
role-payout/0e97c9d9417354d9460f2eb35018d3904b7b035af16ab299258adab93be0911a 161.7 μs 160.7 μs -0.6%
role-payout/0e72f62b0f922e31a2340baccc768104025400cf7fdd7dae62fbba5fc770936d 167.0 μs 165.5 μs -0.9%
role-payout/0e00171d0f1e1f14070d0a00091f07101808021d081e1b120219081312081e15 148.8 μs 147.7 μs -0.7%
role-payout/0dbb692d2bf22d25eeceac461cfebf616f54003077a8473abc0457f18e025960 180.9 μs 178.9 μs -1.1%
role-payout/0d0f01050a0a0a0b0b050d0404090e0d0506000d0a041003040e0f100e0a0408 155.8 μs 154.6 μs -0.8%
role-payout/0c9d3634aeae7038f839a1262d1a8bc724dc77af9426459417a56ec73240f0e0 155.0 μs 153.8 μs -0.8%
role-payout/0bdca1cb8fa7e38e09062557b82490714052e84e2054e913092cd84ac071b961 174.8 μs 173.5 μs -0.7%
role-payout/07658a6c898ad6d624c37df1e49e909c2e9349ba7f4c0a6be5f166fe239bfcae 139.5 μs 138.6 μs -0.6%
role-payout/06317060a8e488b1219c9dae427f9ce27918a9e09ee8ac424afa33ca923f7954 157.0 μs 155.7 μs -0.8%
role-payout/057ebc80922f16a5f4bf13e985bf586b8cff37a2f6fe0f3ce842178c16981027 145.8 μs 144.0 μs -1.2%
role-payout/04f592afc6e57c633b9c55246e7c82e87258f04e2fb910c37d8e2417e9db46e5 211.3 μs 209.2 μs -1.0%
role-payout/041a2c3b111139201a3a2c173c392b170e16370d300f2d28342d0f2f0e182e01 178.6 μs 176.9 μs -1.0%
role-payout/0405010105020401010304080005050800040301010800080207080704020206 174.3 μs 172.4 μs -1.1%
role-payout/0403020000030204010000030001000202010101000304030001040404030100 157.7 μs 156.8 μs -0.6%
role-payout/03d730a62332c51c7b70c16c64da72dd1c3ea36c26b41cd1a1e00d39fda3d6cc 172.0 μs 170.9 μs -0.6%
role-payout/031d56d71454e2c4216ffaa275c4a8b3eb631109559d0e56f44ea8489f57ba97 182.9 μs 181.9 μs -0.5%
role-payout/0303020000020001010201060303040208070100050401080304020801030001 145.8 μs 144.2 μs -1.1%
role-payout/0202010002010100020102020102020001010101020102010001010101000100 148.1 μs 147.0 μs -0.7%
role-payout/0201020201020000020000010201020001020200000002010200000101010100 158.2 μs 156.8 μs -0.9%
role-payout/01dcc372ea619cb9f23c45b17b9a0a8a16b7ca0e04093ef8ecce291667a99a4c 141.3 μs 140.7 μs -0.4%
role-payout/0101000100000101010000010101000100010101000001000001000000010101 174.2 μs 173.8 μs -0.2%
role-payout/0100000100010000000001000100010101000101000001000000010000010000 237.0 μs 235.3 μs -0.7%
role-payout/0004000402010401030101030100040000010104020201030001000204020401 162.0 μs 160.9 μs -0.7%

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/benchmark lists

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github-actions bot commented Mar 5, 2024

Comparing benchmark results of 'lists' on '1f9b73f94' (base) and '621af7092' (PR)

Results table
Script 1f9b73f 621af70 Change
sort/ghcSort/10 38.60 μs 35.24 μs -8.7%
sort/ghcSort/20 89.23 μs 79.69 μs -10.7%
sort/ghcSort/30 136.7 μs 123.1 μs -9.9%
sort/ghcSort/40 203.2 μs 180.0 μs -11.4%
sort/ghcSort/50 243.1 μs 223.1 μs -8.2%
sort/ghcSort/60 312.5 μs 277.1 μs -11.3%
sort/ghcSort/70 404.8 μs 358.5 μs -11.4%
sort/ghcSort/80 460.1 μs 407.7 μs -11.4%
sort/ghcSort/90 507.0 μs 448.8 μs -11.5%
sort/ghcSort/100 572.4 μs 507.1 μs -11.4%
sort/ghcSort/110 627.6 μs 561.2 μs -10.6%
sort/ghcSort/120 712.1 μs 629.1 μs -11.7%
sort/ghcSort/130 879.3 μs 775.8 μs -11.8%
sort/ghcSort/140 933.3 μs 817.6 μs -12.4%
sort/ghcSort/150 995.0 μs 876.3 μs -11.9%
sort/ghcSort/160 1.062 ms 939.4 μs -11.5%
sort/ghcSort/170 1.121 ms 995.5 μs -11.2%
sort/ghcSort/180 1.182 ms 1.045 ms -11.6%
sort/ghcSort/190 1.249 ms 1.109 ms -11.2%
sort/ghcSort/200 1.343 ms 1.193 ms -11.2%
sort/ghcSort/210 1.407 ms 1.249 ms -11.2%
sort/ghcSort/220 1.471 ms 1.306 ms -11.2%
sort/ghcSort/230 1.573 ms 1.392 ms -11.5%
sort/ghcSort/240 1.665 ms 1.476 ms -11.4%
sort/ghcSort/250 1.747 ms 1.552 ms -11.2%
sort/ghcSort/260 2.009 ms 1.783 ms -11.2%
sort/ghcSort/270 2.069 ms 1.834 ms -11.4%
sort/ghcSort/280 2.141 ms 1.898 ms -11.3%
sort/ghcSort/290 2.208 ms 1.956 ms -11.4%
sort/ghcSort/300 2.284 ms 2.028 ms -11.2%
sort/ghcSort/310 2.361 ms 2.099 ms -11.1%
sort/ghcSort/320 2.441 ms 2.164 ms -11.3%
sort/ghcSort/330 2.508 ms 2.226 ms -11.2%
sort/ghcSort/340 2.603 ms 2.285 ms -12.2%
sort/ghcSort/350 2.640 ms 2.352 ms -10.9%
sort/ghcSort/360 2.720 ms 2.419 ms -11.1%
sort/ghcSort/370 2.789 ms 2.493 ms -10.6%
sort/ghcSort/380 2.885 ms 2.561 ms -11.2%
sort/ghcSort/390 3.012 ms 2.689 ms -10.7%
sort/ghcSort/400 3.088 ms 2.759 ms -10.7%
sort/ghcSort/410 3.130 ms 2.791 ms -10.8%
sort/ghcSort/420 3.233 ms 2.881 ms -10.9%
sort/ghcSort/430 3.282 ms 2.940 ms -10.4%
sort/ghcSort/440 3.383 ms 3.022 ms -10.7%
sort/ghcSort/450 3.576 ms 3.178 ms -11.1%
sort/ghcSort/460 3.624 ms 3.224 ms -11.0%
sort/ghcSort/470 3.705 ms 3.316 ms -10.5%
sort/ghcSort/480 3.844 ms 3.411 ms -11.3%
sort/ghcSort/490 3.921 ms 3.499 ms -10.8%
sort/ghcSort/500 4.029 ms 3.584 ms -11.0%
sort/insertionSort/10 36.35 μs 32.82 μs -9.7%
sort/insertionSort/20 130.5 μs 117.3 μs -10.1%
sort/insertionSort/30 284.9 μs 253.8 μs -10.9%
sort/insertionSort/40 496.4 μs 446.1 μs -10.1%
sort/insertionSort/50 768.6 μs 696.2 μs -9.4%
sort/insertionSort/60 1.106 ms 991.0 μs -10.4%
sort/insertionSort/70 1.501 ms 1.345 ms -10.4%
sort/insertionSort/80 1.950 ms 1.760 ms -9.7%
sort/insertionSort/90 2.458 ms 2.227 ms -9.4%
sort/insertionSort/100 3.036 ms 2.749 ms -9.5%
sort/insertionSort/110 3.664 ms 3.314 ms -9.6%
sort/insertionSort/120 4.369 ms 3.932 ms -10.0%
sort/insertionSort/130 5.110 ms 4.592 ms -10.1%
sort/insertionSort/140 5.933 ms 5.345 ms -9.9%
sort/insertionSort/150 6.795 ms 6.119 ms -9.9%
sort/insertionSort/160 7.765 ms 7.107 ms -8.5%
sort/insertionSort/170 8.762 ms 7.874 ms -10.1%
sort/insertionSort/180 9.823 ms 8.826 ms -10.1%
sort/insertionSort/190 10.92 ms 9.962 ms -8.8%
sort/insertionSort/200 12.18 ms 10.87 ms -10.8%
sort/insertionSort/210 13.41 ms 12.02 ms -10.4%
sort/insertionSort/220 14.71 ms 13.18 ms -10.4%
sort/insertionSort/230 16.14 ms 14.41 ms -10.7%
sort/insertionSort/240 17.60 ms 15.85 ms -9.9%
sort/insertionSort/250 19.11 ms 17.05 ms -10.8%
sort/insertionSort/260 20.62 ms 18.63 ms -9.7%
sort/insertionSort/270 22.32 ms 19.96 ms -10.6%
sort/insertionSort/280 23.92 ms 21.59 ms -9.7%
sort/insertionSort/290 25.61 ms 23.17 ms -9.5%
sort/insertionSort/300 27.52 ms 24.91 ms -9.5%
sort/insertionSort/310 29.37 ms 26.68 ms -9.2%
sort/insertionSort/320 31.24 ms 28.50 ms -8.8%
sort/insertionSort/330 33.29 ms 30.23 ms -9.2%
sort/insertionSort/340 35.40 ms 31.92 ms -9.8%
sort/insertionSort/350 37.61 ms 33.75 ms -10.3%
sort/insertionSort/360 39.87 ms 36.17 ms -9.3%
sort/insertionSort/370 41.98 ms 37.89 ms -9.7%
sort/insertionSort/380 44.65 ms 40.03 ms -10.3%
sort/insertionSort/390 46.78 ms 42.14 ms -9.9%
sort/insertionSort/400 49.38 ms 44.54 ms -9.8%
sort/insertionSort/410 51.97 ms 47.05 ms -9.5%
sort/insertionSort/420 54.52 ms 49.21 ms -9.7%
sort/insertionSort/430 57.36 ms 51.55 ms -10.1%
sort/insertionSort/440 60.15 ms 54.01 ms -10.2%
sort/insertionSort/450 63.13 ms 56.81 ms -10.0%
sort/insertionSort/460 65.65 ms 59.46 ms -9.4%
sort/insertionSort/470 68.52 ms 62.31 ms -9.1%
sort/insertionSort/480 71.83 ms 64.64 ms -10.0%
sort/insertionSort/490 74.68 ms 67.24 ms -10.0%
sort/insertionSort/500 77.95 ms 70.29 ms -9.8%
sort/mergeSort/10 93.93 μs 85.68 μs -8.8%
sort/mergeSort/20 225.4 μs 207.2 μs -8.1%
sort/mergeSort/30 373.6 μs 341.2 μs -8.7%
sort/mergeSort/40 528.8 μs 483.2 μs -8.6%
sort/mergeSort/50 690.4 μs 631.4 μs -8.5%
sort/mergeSort/60 865.3 μs 789.4 μs -8.8%
sort/mergeSort/70 1.037 ms 947.6 μs -8.6%
sort/mergeSort/80 1.220 ms 1.114 ms -8.7%
sort/mergeSort/90 1.406 ms 1.285 ms -8.6%
sort/mergeSort/100 1.586 ms 1.452 ms -8.4%
sort/mergeSort/110 1.777 ms 1.619 ms -8.9%
sort/mergeSort/120 1.978 ms 1.811 ms -8.4%
sort/mergeSort/130 2.203 ms 2.009 ms -8.8%
sort/mergeSort/140 2.366 ms 2.156 ms -8.9%
sort/mergeSort/150 2.552 ms 2.325 ms -8.9%
sort/mergeSort/160 2.769 ms 2.519 ms -9.0%
sort/mergeSort/170 2.962 ms 2.695 ms -9.0%
sort/mergeSort/180 3.174 ms 2.900 ms -8.6%
sort/mergeSort/190 3.381 ms 3.090 ms -8.6%
sort/mergeSort/200 3.576 ms 3.263 ms -8.8%
sort/mergeSort/210 3.796 ms 3.437 ms -9.5%
sort/mergeSort/220 3.986 ms 3.630 ms -8.9%
sort/mergeSort/230 4.213 ms 3.845 ms -8.7%
sort/mergeSort/240 4.437 ms 4.033 ms -9.1%
sort/mergeSort/250 4.677 ms 4.264 ms -8.8%
sort/mergeSort/260 4.911 ms 4.474 ms -8.9%
sort/mergeSort/270 5.087 ms 4.620 ms -9.2%
sort/mergeSort/280 5.288 ms 4.826 ms -8.7%
sort/mergeSort/290 5.494 ms 5.002 ms -9.0%
sort/mergeSort/300 5.706 ms 5.191 ms -9.0%
sort/mergeSort/310 5.926 ms 5.392 ms -9.0%
sort/mergeSort/320 6.190 ms 5.604 ms -9.5%
sort/mergeSort/330 6.380 ms 5.792 ms -9.2%
sort/mergeSort/340 6.602 ms 5.999 ms -9.1%
sort/mergeSort/350 6.829 ms 6.245 ms -8.6%
sort/mergeSort/360 7.069 ms 6.416 ms -9.2%
sort/mergeSort/370 7.304 ms 6.622 ms -9.3%
sort/mergeSort/380 7.545 ms 6.806 ms -9.8%
sort/mergeSort/390 7.773 ms 7.021 ms -9.7%
sort/mergeSort/400 7.972 ms 7.236 ms -9.2%
sort/mergeSort/410 8.208 ms 7.431 ms -9.5%
sort/mergeSort/420 8.456 ms 7.660 ms -9.4%
sort/mergeSort/430 8.715 ms 7.919 ms -9.1%
sort/mergeSort/440 8.902 ms 8.070 ms -9.3%
sort/mergeSort/450 9.122 ms 8.296 ms -9.1%
sort/mergeSort/460 9.385 ms 8.522 ms -9.2%
sort/mergeSort/470 9.637 ms 8.750 ms -9.2%
sort/mergeSort/480 9.867 ms 8.932 ms -9.5%
sort/mergeSort/490 10.16 ms 9.216 ms -9.3%
sort/mergeSort/500 10.42 ms 9.411 ms -9.7%
sort/quickSort/10 83.80 μs 75.96 μs -9.4%
sort/quickSort/20 306.7 μs 280.4 μs -8.6%
sort/quickSort/30 674.8 μs 612.4 μs -9.2%
sort/quickSort/40 1.205 ms 1.096 ms -9.0%
sort/quickSort/50 1.896 ms 1.731 ms -8.7%
sort/quickSort/60 2.732 ms 2.489 ms -8.9%
sort/quickSort/70 3.722 ms 3.401 ms -8.6%
sort/quickSort/80 4.880 ms 4.455 ms -8.7%
sort/quickSort/90 6.213 ms 5.633 ms -9.3%
sort/quickSort/100 7.580 ms 6.898 ms -9.0%
sort/quickSort/110 9.231 ms 8.438 ms -8.6%
sort/quickSort/120 10.95 ms 9.991 ms -8.8%
sort/quickSort/130 12.84 ms 11.81 ms -8.0%
sort/quickSort/140 14.77 ms 13.55 ms -8.3%
sort/quickSort/150 17.03 ms 15.55 ms -8.7%
sort/quickSort/160 19.30 ms 17.55 ms -9.1%
sort/quickSort/170 21.76 ms 19.80 ms -9.0%
sort/quickSort/180 24.39 ms 22.36 ms -8.3%
sort/quickSort/190 27.21 ms 24.72 ms -9.2%
sort/quickSort/200 29.94 ms 27.36 ms -8.6%
sort/quickSort/210 33.17 ms 30.38 ms -8.4%
sort/quickSort/220 36.37 ms 33.33 ms -8.4%
sort/quickSort/230 39.85 ms 36.24 ms -9.1%
sort/quickSort/240 43.40 ms 39.73 ms -8.5%
sort/quickSort/250 47.00 ms 42.92 ms -8.7%
sort/quickSort/260 50.53 ms 46.60 ms -7.8%
sort/quickSort/270 54.65 ms 49.88 ms -8.7%
sort/quickSort/280 58.75 ms 53.76 ms -8.5%
sort/quickSort/290 63.07 ms 57.97 ms -8.1%
sort/quickSort/300 67.61 ms 61.78 ms -8.6%
sort/quickSort/310 72.33 ms 66.53 ms -8.0%
sort/quickSort/320 76.84 ms 70.76 ms -7.9%
sort/quickSort/330 81.58 ms 75.65 ms -7.3%
sort/quickSort/340 87.15 ms 80.19 ms -8.0%
sort/quickSort/350 92.33 ms 84.52 ms -8.5%
sort/quickSort/360 97.88 ms 89.54 ms -8.5%
sort/quickSort/370 103.6 ms 94.95 ms -8.3%
sort/quickSort/380 109.2 ms 100.0 ms -8.4%
sort/quickSort/390 115.3 ms 105.5 ms -8.5%
sort/quickSort/400 121.4 ms 112.0 ms -7.7%
sort/quickSort/410 126.8 ms 117.2 ms -7.6%
sort/quickSort/420 133.3 ms 123.2 ms -7.6%
sort/quickSort/430 139.9 ms 129.3 ms -7.6%
sort/quickSort/440 146.9 ms 134.6 ms -8.4%
sort/quickSort/450 153.6 ms 141.4 ms -7.9%
sort/quickSort/460 160.2 ms 147.1 ms -8.2%
sort/quickSort/470 167.6 ms 154.5 ms -7.8%
sort/quickSort/480 175.4 ms 162.0 ms -7.6%
sort/quickSort/490 182.9 ms 168.2 ms -8.0%
sort/quickSort/500 190.5 ms 175.8 ms -7.7%
sum/compiled-from-Haskell/sum-right-builtin/10 9.135 μs 9.121 μs -0.2%
sum/compiled-from-Haskell/sum-right-builtin/50 42.23 μs 42.06 μs -0.4%
sum/compiled-from-Haskell/sum-right-builtin/100 85.91 μs 85.05 μs -1.0%
sum/compiled-from-Haskell/sum-right-builtin/500 463.3 μs 465.1 μs +0.4%
sum/compiled-from-Haskell/sum-right-builtin/1000 1.032 ms 1.032 ms 0.0%
sum/compiled-from-Haskell/sum-right-builtin/5000 7.249 ms 7.101 ms -2.0%
sum/compiled-from-Haskell/sum-right-builtin/10000 16.07 ms 15.77 ms -1.9%
sum/compiled-from-Haskell/sum-right-Scott/10 7.353 μs 6.662 μs -9.4%
sum/compiled-from-Haskell/sum-right-Scott/50 33.78 μs 31.48 μs -6.8%
sum/compiled-from-Haskell/sum-right-Scott/100 67.45 μs 63.53 μs -5.8%
sum/compiled-from-Haskell/sum-right-Scott/500 359.0 μs 336.8 μs -6.2%
sum/compiled-from-Haskell/sum-right-Scott/1000 792.2 μs 741.9 μs -6.3%
sum/compiled-from-Haskell/sum-right-Scott/5000 6.029 ms 5.909 ms -2.0%
sum/compiled-from-Haskell/sum-right-Scott/10000 14.69 ms 14.00 ms -4.7%
sum/compiled-from-Haskell/sum-right-data/10 21.13 μs 21.83 μs +3.3%
sum/compiled-from-Haskell/sum-right-data/50 101.7 μs 105.3 μs +3.5%
sum/compiled-from-Haskell/sum-right-data/100 204.1 μs 208.8 μs +2.3%
sum/compiled-from-Haskell/sum-right-data/500 1.150 ms 1.167 ms +1.5%
sum/compiled-from-Haskell/sum-right-data/1000 2.671 ms 2.703 ms +1.2%
sum/compiled-from-Haskell/sum-right-data/5000 15.50 ms 15.44 ms -0.4%
sum/compiled-from-Haskell/sum-right-data/10000 32.67 ms 32.60 ms -0.2%
sum/compiled-from-Haskell/sum-left-builtin/10 8.852 μs 8.735 μs -1.3%
sum/compiled-from-Haskell/sum-left-builtin/50 42.24 μs 42.04 μs -0.5%
sum/compiled-from-Haskell/sum-left-builtin/100 84.80 μs 83.84 μs -1.1%
sum/compiled-from-Haskell/sum-left-builtin/500 455.4 μs 449.9 μs -1.2%
sum/compiled-from-Haskell/sum-left-builtin/1000 1.012 ms 996.5 μs -1.5%
sum/compiled-from-Haskell/sum-left-builtin/5000 7.176 ms 7.011 ms -2.3%
sum/compiled-from-Haskell/sum-left-builtin/10000 15.55 ms 15.27 ms -1.8%
sum/compiled-from-Haskell/sum-left-Scott/10 7.046 μs 6.635 μs -5.8%
sum/compiled-from-Haskell/sum-left-Scott/50 32.57 μs 30.41 μs -6.6%
sum/compiled-from-Haskell/sum-left-Scott/100 65.82 μs 60.96 μs -7.4%
sum/compiled-from-Haskell/sum-left-Scott/500 349.1 μs 324.9 μs -6.9%
sum/compiled-from-Haskell/sum-left-Scott/1000 762.6 μs 703.8 μs -7.7%
sum/compiled-from-Haskell/sum-left-Scott/5000 6.131 ms 5.794 ms -5.5%
sum/compiled-from-Haskell/sum-left-Scott/10000 13.87 ms 13.55 ms -2.3%
sum/compiled-from-Haskell/sum-left-data/10 21.75 μs 22.18 μs +2.0%
sum/compiled-from-Haskell/sum-left-data/50 102.7 μs 104.4 μs +1.7%
sum/compiled-from-Haskell/sum-left-data/100 209.3 μs 213.6 μs +2.1%
sum/compiled-from-Haskell/sum-left-data/500 1.183 ms 1.192 ms +0.8%
sum/compiled-from-Haskell/sum-left-data/1000 2.748 ms 2.769 ms +0.8%
sum/compiled-from-Haskell/sum-left-data/5000 15.82 ms 15.74 ms -0.5%
sum/compiled-from-Haskell/sum-left-data/10000 32.85 ms 32.70 ms -0.5%
sum/hand-written-PLC/sum-right-builtin/10 8.927 μs 9.090 μs +1.8%
sum/hand-written-PLC/sum-right-builtin/50 40.08 μs 40.55 μs +1.2%
sum/hand-written-PLC/sum-right-builtin/100 80.74 μs 80.66 μs -0.1%
sum/hand-written-PLC/sum-right-builtin/500 401.4 μs 408.7 μs +1.8%
sum/hand-written-PLC/sum-right-builtin/1000 837.8 μs 842.1 μs +0.5%
sum/hand-written-PLC/sum-right-builtin/5000 4.957 ms 4.999 ms +0.8%
sum/hand-written-PLC/sum-right-builtin/10000 10.20 ms 10.15 ms -0.5%
sum/hand-written-PLC/sum-right-Scott/10 6.012 μs 5.988 μs -0.4%
sum/hand-written-PLC/sum-right-Scott/50 26.30 μs 26.50 μs +0.8%
sum/hand-written-PLC/sum-right-Scott/100 51.01 μs 51.27 μs +0.5%
sum/hand-written-PLC/sum-right-Scott/500 262.6 μs 257.3 μs -2.0%
sum/hand-written-PLC/sum-right-Scott/1000 542.5 μs 551.8 μs +1.7%
sum/hand-written-PLC/sum-right-Scott/5000 3.874 ms 3.855 ms -0.5%
sum/hand-written-PLC/sum-right-Scott/10000 8.580 ms 8.596 ms +0.2%
sum/hand-written-PLC/sum-left-builtin/10 9.632 μs 9.483 μs -1.5%
sum/hand-written-PLC/sum-left-builtin/50 44.09 μs 43.94 μs -0.3%
sum/hand-written-PLC/sum-left-builtin/100 86.28 μs 86.48 μs +0.2%
sum/hand-written-PLC/sum-left-builtin/500 419.5 μs 419.6 μs +0.0%
sum/hand-written-PLC/sum-left-builtin/1000 823.7 μs 820.2 μs -0.4%
sum/hand-written-PLC/sum-left-builtin/5000 4.067 ms 4.070 ms +0.1%
sum/hand-written-PLC/sum-left-builtin/10000 8.093 ms 8.118 ms +0.3%
sum/hand-written-PLC/sum-left-Scott/10 6.397 μs 6.253 μs -2.3%
sum/hand-written-PLC/sum-left-Scott/50 28.79 μs 27.90 μs -3.1%
sum/hand-written-PLC/sum-left-Scott/100 56.70 μs 55.33 μs -2.4%
sum/hand-written-PLC/sum-left-Scott/500 285.6 μs 281.4 μs -1.5%
sum/hand-written-PLC/sum-left-Scott/1000 579.8 μs 573.0 μs -1.2%
sum/hand-written-PLC/sum-left-Scott/5000 3.508 ms 3.476 ms -0.9%
sum/hand-written-PLC/sum-left-Scott/10000 7.255 ms 7.208 ms -0.6%

@effectfully effectfully mentioned this pull request Mar 13, 2024
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@effectfully effectfully mentioned this pull request Mar 28, 2024
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@effectfully effectfully mentioned this pull request May 30, 2024
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CPU performance isn't that big of a deal anymore and what we can get here should be fairly insignificant, so I added it to the epic and let's close it for now.

@effectfully effectfully deleted the effectfully/AST/add-SixList branch May 30, 2024 13:26
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