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Possible performance regression was detected for benchmark 'Plutus Benchmarks'.
Benchmark result of this commit is worse than the previous benchmark result exceeding threshold
1.05
.marlowe-semantics/ffdd68a33afd86f8844c9f5e45b2bda5b035aa02274161b23d57709c0f8b8de6
1071
μs985.8
μs1.09
marlowe-semantics/f2a8fd2014922f0d8e01541205d47e9bb2d4e54333bdd408cbe7c47c55e73ae4
815.2
μs768.7
μs1.06
marlowe-semantics/ecb5e8308b57724e0f8533921693f111eba942123cf8660aac2b5bac21ec28f0
734.6
μs681.3
μs1.08
marlowe-semantics/eb4a605ed3a64961e9e66ad9631c2813dadf7131740212762ae4483ec749fe1d
332.2
μs308.3
μs1.08
marlowe-semantics/e3afd22d01ff12f381cf915fd32358634e6c413f979f2492cf3339319d8cc079
335.3
μs310.2
μs1.08
marlowe-semantics/e34b48f80d49360e88c612f4016f7d68cb5678dd8cd5ddb981375a028b3a40a5
437.4
μs404
μs1.08
marlowe-semantics/e26c1cddba16e05fd10c34cbdb16ea6acdbac7c8323256c31c90c520ee6a1080
414
μs386.3
μs1.07
marlowe-semantics/dd11ae574eaeab0e9925319768989313a93913fdc347c704ddaa27042757d990
846.3
μs758.2
μs1.12
marlowe-semantics/dc241ac6ad1e04fb056d555d6a4f2d08a45d054c6f7f34355fcfeefebef479f3
517.9
μs465.7
μs1.11
marlowe-semantics/d64607eb8a1448595081547ea8780886fcbd9e06036460eea3705c88ea867e33
332.3
μs301.5
μs1.10
marlowe-semantics/d1c03759810747b7cab38c4296593b38567e11195d161b5bb0a2b58f89b2c65a
1144
μs1022
μs1.12
marlowe-semantics/cf542b7df466b228ca2197c2aaa89238a8122f3330fe5b77b3222f570395d9f5
555.7
μs497.3
μs1.12
marlowe-semantics/ced1ea04649e093a501e43f8568ac3e6b37cd3eccec8cac9c70a4857b88a5eb8
944.4
μs841.5
μs1.12
marlowe-semantics/cdb9d5c233b288a5a9dcfbd8d5c1831a0bb46eec7a26fa31b80ae69d44805efc
993.7
μs882.3
μs1.13
marlowe-semantics/c9efcb705ee057791f7c18a1de79c49f6e40ba143ce0579f1602fd780cabf153
926.9
μs817.6
μs1.13
marlowe-semantics/c4bb185380df6e9b66fc1ee0564f09a8d1253a51a0c0c7890f2214df9ac19274
843
μs742.7
μs1.14
marlowe-semantics/bb5345bfbbc460af84e784b900ec270df1948bb1d1e29eacecd022eeb168b315
1103
μs972.7
μs1.13
marlowe-semantics/b50170cea48ee84b80558c02b15c6df52faf884e504d2c410ad63ba46d8ca35c
868.5
μs763.5
μs1.14
marlowe-semantics/b21a4df3b0266ad3481a26d3e3d848aad2fcde89510b29cccce81971e38e0835
1535
μs1354
μs1.13
marlowe-semantics/ad6db94ed69b7161c7604568f44358e1cc11e81fea90e41afebd669e51bb60c8
668
μs590.9
μs1.13
marlowe-semantics/acce04815e8fd51be93322888250060da173eccf3df3a605bd6bc6a456cde871
318.9
μs283.1
μs1.13
marlowe-semantics/acb9c83c2b78dabef8674319ad69ba54912cd9997bdf2d8b2998c6bfeef3b122
746.1
μs657.2
μs1.14
marlowe-semantics/a9a853b6d083551f4ed2995551af287880ef42aee239a2d9bc5314d127cce592
574.7
μs514
μs1.12
marlowe-semantics/a85173a832db3ea944fafc406dfe3fa3235254897d6d1d0e21bc380147687bd5
415.1
μs370.5
μs1.12
marlowe-semantics/9fabc4fc3440cdb776b28c9bb1dd49c9a5b1605fe1490aa3f4f64a3fa8881b25
1179
μs1045
μs1.13
marlowe-semantics/96e1a2fa3ceb9a402f2a5841a0b645f87b4e8e75beb636692478ec39f74ee221
342.1
μs303.4
μs1.13
marlowe-semantics/8d9ae67656a2911ab15a8e5301c960c69aa2517055197aff6b60a87ff718d66c
409
μs363.3
μs1.13
marlowe-semantics/8c7fdc3da6822b5112074380003524f50fb3a1ce6db4e501df1086773c6c0201
1317
μs1158
μs1.14
marlowe-semantics/82213dfdb6a812b40446438767c61a388d2c0cfd0cbf7fd4a372b0dc59fa17e1
1427
μs1287
μs1.11
marlowe-semantics/7cbc5644b745f4ea635aca42cce5e4a4b9d2e61afdb3ac18128e1688c07071ba
544.9
μs481.6
μs1.13
marlowe-semantics/7a758e17486d1a30462c32a5d5309bd1e98322a9dcbe277c143ed3aede9d265f
572.9
μs514.7
μs1.11
marlowe-semantics/75a8bb183688bce447e00f435a144c835435e40a5defc6f3b9be68b70b4a3db6
787.9
μs694.1
μs1.14
marlowe-semantics/7529b206a78becb793da74b78c04d9d33a2540a1abd79718e681228f4057403a
914.2
μs802.6
μs1.14
marlowe-semantics/74c67f2f182b9a0a66c62b95d6fac5ace3f7e71ea3abfc52ffbe3ecb93436ea2
905.5
μs799.6
μs1.13
marlowe-semantics/71965c9ccae31f1ffc1d85aa20a356d4ed97a420954018d8301ec4f9783be0d7
541.4
μs478.1
μs1.13
marlowe-semantics/70f65b21b77ddb451f3df9d9fb403ced3d10e1e953867cc4900cc25e5b9dec47
887
μs788.4
μs1.13
marlowe-semantics/6d88f7294dd2b5ce02c3dc609bc7715bd508009738401d264bf9b3eb7c6f49c1
558.8
μs495.9
μs1.13
marlowe-semantics/675d63836cad11b547d1b4cddd498f04c919d4342612accf40913f9ae9419fac
1180
μs1047
μs1.13
marlowe-semantics/66af9e473d75e3f464971f6879cc0f2ef84bafcb38fbfa1dbc31ac2053628a38
1387
μs1263
μs1.10
marlowe-semantics/64c3d5b43f005855ffc4d0950a02fd159aa1575294ea39061b81a194ebb9eaae
757.2
μs683.9
μs1.11
marlowe-semantics/5f3d46c57a56cef6764f96c9de9677ac6e494dd7a4e368d1c8dd9c1f7a4309a5
557.2
μs501.8
μs1.11
marlowe-semantics/5f306b4b24ff2b39dab6cdc9ac6ca9bb442c1dc6f4e7e412eeb5a3ced42fb642
860.9
μs778.1
μs1.11
marlowe-semantics/5f130d19918807b60eab4c03119d67878fb6c6712c28c54f5a25792049294acc
340.7
μs309.9
μs1.10
marlowe-semantics/5e2c68ac9f62580d626636679679b97109109df7ac1a8ce86d3e43dfb5e4f6bc
587.2
μs530.7
μs1.11
marlowe-semantics/5e274e0f593511543d41570a4b03646c1d7539062b5728182e073e5760561a66
1148
μs1032
μs1.11
marlowe-semantics/5d0a88250f13c49c20e146819357a808911c878a0e0a7d6f7fe1d4a619e06112
1174
μs1062
μs1.11
marlowe-semantics/5abae75af26f45658beccbe48f7c88e74efdfc0b8409ba1e98f95fa5b6caf999
556.6
μs502.4
μs1.11
marlowe-semantics/57728d8b19b0e06412786f3dfed9e1894cd0ad1d2bc2bd497ec0ecb68f989d2b
337.8
μs308.8
μs1.09
marlowe-semantics/56333d4e413dbf1a665463bf68067f63c118f38f7539b7ba7167d577c0c8b8ce
889.1
μs797.9
μs1.11
marlowe-semantics/55dfe42688ad683b638df1fa7700219f00f53b335a85a2825502ab1e0687197e
338.8
μs308.1
μs1.10
marlowe-semantics/53ed4db7ab33d6f907eec91a861d1188269be5ae1892d07ee71161bfb55a7cb7
415
μs377.8
μs1.10
marlowe-semantics/52df7c8dfaa5f801cd837faa65f2fd333665fff00a555ce8c55e36ddc003007a
410.9
μs374.8
μs1.10
marlowe-semantics/4f9e8d361b85e62db2350dd3ae77463540e7af0d28e1eb68faeecc45f4655f57
453.2
μs416
μs1.09
marlowe-semantics/4d7adf91bfc93cebe95a7e054ec17cfbb912b32bd8aecb48a228b50e02b055c8
786.1
μs710.3
μs1.11
marlowe-semantics/4c3efd13b6c69112a8a888372d56c86e60c232125976f29b1c3e21d9f537845c
1144
μs1042
μs1.10
marlowe-semantics/44a9e339fa25948b48637fe7e10dcfc6d1256319a7b5ce4202cb54dfef8e37e7
334.8
μs307.1
μs1.09
marlowe-semantics/3db496e6cd39a8b888a89d0de07dace4397878958cab3b9d9353978b08c36d8a
922.2
μs848.3
μs1.09
marlowe-semantics/3bb75b2e53eb13f718eacd3263ab4535f9137fabffc9de499a0de7cabb335479
333.4
μs307.2
μs1.09
marlowe-semantics/383683bfcecdab0f4df507f59631c702bd11a81ca3841f47f37633e8aacbb5de
850
μs782.6
μs1.09
marlowe-semantics/33c3efd79d9234a78262b52bc6bbf8124cb321a467dedb278328215167eca455
700.1
μs641.3
μs1.09
marlowe-semantics/331e4a1bb30f28d7073c54f9a13c10ae19e2e396c299a0ce101ee6bf4b2020db
516.3
μs473.2
μs1.09
marlowe-semantics/322acde099bc34a929182d5b894214fc87ec88446e2d10625119a9d17fa3ec3d
335.4
μs309.1
μs1.09
marlowe-semantics/30aa34dfbe89e0c43f569929a96c0d2b74c321d13fec0375606325eee9a34a6a
1297
μs1172
μs1.11
marlowe-semantics/2f58c9d884813042bce9cf7c66048767dff166785e8b5183c8139db2aa7312d1
857
μs785.2
μs1.09
marlowe-semantics/2cb21612178a2d9336b59d06cbf80488577463d209a453048a66c6eee624a695
879.7
μs802
μs1.10
marlowe-semantics/28fdce478e179db0e38fb5f3f4105e940ece450b9ce8a0f42a6e313b752e6f2c
1014.9999999999999
μs953.5
μs1.06
marlowe-semantics/26e24ee631a6d927ea4fb4fac530cfd82ff7636986014de2d2aaa460ddde0bc3
633.1
μs577.9
μs1.10
marlowe-semantics/238b21364ab5bdae3ddb514d7001c8feba128b4ddcf426852b441f9a9d02c882
332.8
μs306.8
μs1.08
marlowe-semantics/21953bf8798b28df60cb459db24843fb46782b19ba72dc4951941fb4c20d2263
403.6
μs370.4
μs1.09
marlowe-semantics/1d6e3c137149a440f35e0efc685b16bfb8052ebcf66ec4ad77e51c11501381c7
335.7
μs309.6
μs1.08
marlowe-semantics/1d56060c3b271226064c672a282663643b1b0823471c67737f0b076870331260
863.2
μs795.7
μs1.08
marlowe-semantics/1a573aed5c46d637919ccb5548dfc22a55c9fc38298d567d15ee9f2eea69d89e
1016.9999999999999
μs924.7
μs1.10
marlowe-semantics/1a2f2540121f09321216090b2b1f211e3f020c2c133a1a3c3f3c232a26153a04
336.6
μs309.4
μs1.09
marlowe-semantics/18cefc240debc0fcab14efdd451adfd02793093efe7bc76d6322aed6ddb582ad
839.3
μs765.4
μs1.10
marlowe-semantics/12910f24d994d451ff379b12c9d1ecdb9239c9b87e5d7bea570087ec506935d5
553.9
μs505.1
μs1.10
marlowe-semantics/119fbea4164e2bf21d2b53aa6c2c4e79414fe55e4096f5ce2e804735a7fbaf91
849.8
μs779.4
μs1.09
marlowe-semantics/0f1d0110001b121d051e15140c0c05141d151c1f1d201c040f10091b020a0e1a
529.8
μs480.8
μs1.10
marlowe-semantics/0be82588e4e4bf2ef428d2f44b7687bbb703031d8de696d90ec789e70d6bc1d8
1534
μs1392
μs1.10
marlowe-semantics/0bcfd9487614104ec48de2ea0b2c0979866a95115748c026f9ec129384c262c4
1267
μs1151
μs1.10
marlowe-semantics/07070c070510030509010e050d00040907050e0a0d06030f1006030701020607
1144
μs1037
μs1.10
marlowe-semantics/0705030002040601010206030604080208020207000101060706050502040301
1113
μs1028
μs1.08
marlowe-semantics/0543a00ba1f63076c1db6bf94c6ff13ae7d266dd7544678743890b0e8e1add63
1157
μs1057
μs1.09
marlowe-semantics/04000f0b04051006000e060f09080d0b090d0104050a0b0f0506070f0a070008
828.8
μs761.4
μs1.09
marlowe-semantics/0104010200020000040103020102020004040300030304040400010301040303
864.7
μs788.5
μs1.10
marlowe-semantics/0101080808040600020306010000000302050807010208060100070207080202
863.9
μs786.9
μs1.10
marlowe-semantics/0101020201010201010200010102000201000201010102000102010201010000
333.5
μs307.3
μs1.09
marlowe-semantics/004025fd712d6c325ffa12c16d157064192992faf62e0b991d7310a2f91666b8
898.9
μs828.5
μs1.08
marlowe-semantics/0003040402030103010203030303000200000104030002040304020400000102
1172
μs1058
μs1.11
marlowe-semantics/0001000101000000010101000001000001010101010100000001000001010000
489.1
μs454.4
μs1.08
marlowe-semantics/0000020002010200020101020201000100010001020101020201010000020102
357.8
μs328.5
μs1.09
marlowe-role-payout/ff38b1ec89952d0247630f107a90cbbeb92ecbfcd19b284f60255718e4ec7548
228.5
μs204.3
μs1.12
marlowe-role-payout/fc8c5f45ffcdb024c21e0f34b22c23de8045a94d5e1a5bda1555c45ddb059f82
198.9
μs178.4
μs1.11
marlowe-role-payout/f7275afb60e33a550df13a132102e7e925dd28965a4efbe510a89b077ff9417f
190.6
μs170.3
μs1.12
marlowe-role-payout/f53e8cafe26647ccce51e4c31db13608aea1f39034c0f52dee2e5634ef66e747
208.3
μs185.9
μs1.12
marlowe-role-payout/f2932e4ca4bbb94b0a9ffbe95fcb7bd5639d9751d75d56d5e14efa5bbed981df
187.9
μs168
μs1.12
marlowe-role-payout/f1a1e6a487f91feca5606f72bbb1e948c71abf043c6a0ea83bfea9ec6a0f08d8
189.6
μs169.7
μs1.12
marlowe-role-payout/ee3962fbd7373360f46decef3c9bda536a0b1daf6cda3b8a4bcfd6deeb5b4c53
220.6
μs195.9
μs1.13
marlowe-role-payout/ec4712ee820eb959a43ebedfab6735f2325fa52994747526ffd2a4f4f84dd58e
217.1
μs193.3
μs1.12
marlowe-role-payout/eabeeae18131af89fa57936c0e9eb8d2c7adba534f7e1a517d75410028fa0d6c
190.8
μs170
μs1.12
marlowe-role-payout/df487b2fd5c1583fa33644423849bc1ab5f02f37edc0c235f34ef01cb12604f6
198.2
μs177
μs1.12
marlowe-role-payout/dc45c5f1b700b1334db99f50823321daaef0e6925b9b2fabbc9df7cde65af62e
199.5
μs178.2
μs1.12
marlowe-role-payout/da353bf9219801fa1bf703fc161497570954e9af7e10ffe95c911a9ef97e77bd
198.4
μs176.4
μs1.12
marlowe-role-payout/d6bc8ac4155e22300085784148bbc9d9bbfea896e1009dd396610a90e3943032
222.3
μs196.9
μs1.13
marlowe-role-payout/d5cda74eb0947e025e02fb8ed365df39d0a43e4b42cd3573ac2d8fcb29115997
212.4
μs188.6
μs1.13
marlowe-role-payout/cc1e82927f6c65b3e912200ae30588793d2066e1d4a6627c21955944ac9bd528
218.2
μs194.6
μs1.12
marlowe-role-payout/cb2ab8e22d1f64e8d204dece092e90e9bf1fa8b2a6e9cba5012dbe4978065832
192.3
μs171.8
μs1.12
marlowe-role-payout/caa409c40e39aed9b0f59214b4baa178c375526dea6026b4552b88d2cc729716
181.9
μs163.9
μs1.11
marlowe-role-payout/c99ecc2146ce2066ba6dffc734923264f8794815acbc2ec74c2c2c42ba272e4d
237.6
μs209.4
μs1.13
marlowe-role-payout/c78eeba7681d2ab51b4758efa4c812cc041928837c6e7563d8283cce67ce2e02
204.6
μs182.1
μs1.12
marlowe-role-payout/c4d4c88c5fe378a25a034025994a0d0b1642f10c8e6e513f872327fa895bfc7e
206
μs183
μs1.13
marlowe-role-payout/c11490431db3a92efdda70933ba411a0423935e73a75c856e326dbcf6672f3bf
191.5
μs171.4
μs1.12
marlowe-role-payout/bd79f4a84db23b7c4cd219d498bd581e085cbc3437957e74a8862281a700700b
220.3
μs195.2
μs1.13
marlowe-role-payout/bd460b7549b70c52e37b312a4242041eac18fe4a266f018bcea0c78a9085a271
222.2
μs195.9
μs1.13
marlowe-role-payout/bcdbc576d63b0454100ad06893812edafc2e7e4934fec1b44e2d06eb34f36eb8
190.3
μs170.3
μs1.12
marlowe-role-payout/b869f3928200061abb1c3060425b9354b0e08cbf4400b340b8707c14b34317cd
287
μs251.7
μs1.14
marlowe-role-payout/b6243a5b4c353ce4852aa41705111d57867d2783eeef76f6d59beb2360da6e90
258.1
μs227.7
μs1.13
marlowe-role-payout/b43564af5f13cc5208b92b1ad6d45369446f378d3891e5cb3e353b30d4f3fb10
190.6
μs170.1
μs1.12
marlowe-role-payout/af2e072b5adfaa7211e0b341e1f7319c4f4e7364a4247c9247132a927e914753
228.6
μs202.4
μs1.13
marlowe-role-payout/a92b4072cb8601fa697e1150c08463b14ffced54eb963df08d322216e27373cb
190.2
μs170
μs1.12
marlowe-role-payout/a7cb09f417c3f089619fe25b7624392026382b458486129efcff18f8912bf302
189.4
μs169.1
μs1.12
marlowe-role-payout/a6f064b83b31032ea7f25921364727224707268e472a569f584cc6b1d8c017e8
190.6
μs169.9
μs1.12
marlowe-role-payout/a6664a2d2a82f370a34a36a45234f6b33120a39372331678a3b3690312560ce9
232.7
μs204.9
μs1.14
marlowe-role-payout/a27524cfad019df45e4e8316f927346d4cc39da6bdd294fb2c33c3f58e6a8994
189.6
μs169.9
μs1.12
marlowe-role-payout/a1b25347409c3993feca1a60b6fcaf93d1d4bbaae19ab06fdf50cedc26cee68d
182.8
μs163.6
μs1.12
marlowe-role-payout/a0fba5740174b5cd24036c8b008cb1efde73f1edae097b9325c6117a0ff40d3b
211
μs188.1
μs1.12
marlowe-role-payout/a004a989c005d59043f996500e110fa756ad1b85800b889d5815a0106388e1d7
202.6
μs180.8
μs1.12
marlowe-role-payout/996804e90f2c75fe68886fc8511304b8ab9b36785f8858f5cb098e91c159dde9
197.3
μs176.3
μs1.12
marlowe-role-payout/962c2c658b19904372984a56409707401e64e9b03c1986647134cfd329ec5139
206.6
μs183.6
μs1.13
marlowe-role-payout/8c0fa5d9d6724c5c72c67e055d4bfc36a385ded7c3c81c08cdbd8705829af6e6
229.6
μs203.4
μs1.13
marlowe-role-payout/87167fc5469adac97c1be749326fa79a6b7862ce68aa4abcb438e3c034bd0899
226.4
μs200.2
μs1.13
marlowe-role-payout/803eae94d62e2afc0e835c204af8362170301bc329e2d849d5f5a47dddf479ec
215.5
μs190.5
μs1.13
marlowe-role-payout/7b1dd76edc27f00eb382bf996378155baf74d6a7c6f3d5ec837c39d29784aade
190
μs169.9
μs1.12
marlowe-role-payout/73f044f34a30f26639c58bafe952047f74c7bf1eafebab5aadf5b73cfb9024ed
189.7
μs169.9
μs1.12
marlowe-role-payout/6d66bddb4269bdf77392d3894da5341cf019d39787522af4f83f01285991e93c
190.6
μs170
μs1.12
marlowe-role-payout/6c364699767a84059ffd99cf718562a8c09d96e343f23dc481e8ffda13af424f
189.7
μs170.1
μs1.12
marlowe-role-payout/6b7bc2b9002a71b33cfd535d43f26334a283d0b9ad189b7cd74baac232c3b9fc
181.6
μs163.5
μs1.11
marlowe-role-payout/674b0577409957172ad85223c765d17e94c27714276c49c38dfae0a47a561a1e
184.8
μs165.6
μs1.12
marlowe-role-payout/6621a69217f09d91f42876a9c0cecf79de0e29bdd5b16c82c6c52cf959092ec4
213.7
μs189.9
μs1.13
marlowe-role-payout/622a7f3bc611b5149253c9189da022a9ff296f60a5b7c172a6dc286faa7284fa
229
μs202.7
μs1.13
marlowe-role-payout/5efe992e306e31cc857c64a62436ad2f9325acc5b4a74a8cebccdfd853ce63d2
196.4
μs175.1
μs1.12
marlowe-role-payout/5d4c62a0671c65a14f6a15093e3efc4f1816d95a5a58fd92486bedaae8d9526b
224
μs198.5
μs1.13
marlowe-role-payout/5ade103e9530dd0d572fe1b053ea65ad925c6ebbe321e873ace8b804363fa82c
269.6
μs236.3
μs1.14
marlowe-role-payout/5a2aae344e569a2c644dd9fa8c7b1f129850937eb562b7748c275f9e40bed596
189.6
μs169.5
μs1.12
marlowe-role-payout/5a0725d49c733130eda8bc6ed5234f7f6ff8c9dd2d201e8806125e5fbcc081f9
201.5
μs178.7
μs1.13
marlowe-role-payout/4fbcfdb577a56b842d6f6938187a783f71d9da7519353e3da3ef0c564e1eb344
237.5
μs210
μs1.13
marlowe-role-payout/4dd7755b6ca1f0c9747c1fc0ee4da799f6f1c07108e980bd9f820911ad711ff2
257.3
μs226.6
μs1.14
marlowe-role-payout/49b8275d0cb817be40865694ab05e3cfe5fc35fb43b78e7de68c1f3519b536bd
197.6
μs176.1
μs1.12
marlowe-role-payout/47364cfaf2c00f7d633283dce6cf84e4fd4e8228c0a0aa50e7c55f35c3ecaa1c
189.8
μs169.5
μs1.12
marlowe-role-payout/46f8d00030436e4da490a86b331fa6c3251425fb8c19556080e124d75bad7bd6
189.9
μs169.3
μs1.12
marlowe-role-payout/452e17d16222a427707fa83f63ffb79f606cc25c755a18b1e3274c964ed5ec99
232.7
μs206.3
μs1.13
marlowe-role-payout/4299c7fcf093a5dbfe114c188e32ca199b571a7c25cb7f766bf49f12dab308be
208.6
μs185.4
μs1.13
marlowe-role-payout/4121d88f14387d33ac5e1329618068e3848445cdd66b29e5ba382be2e02a174a
227.2
μs201.3
μs1.13
marlowe-role-payout/3897ef714bba3e6821495b706c75f8d64264c3fdaa58a3826c808b5a768c303d
195.4
μs174.5
μs1.12
marlowe-role-payout/371c10d2526fc0f09dbe9ed59e44dcd949270b27dc42035addd7ff9f7e0d05e7
226.7
μs200.9
μs1.13
marlowe-role-payout/36866914aa07cf62ef36cf2cd64c7f240e3371e27bb9fff5464301678e809c40
187.9
μs168.3
μs1.12
marlowe-role-payout/3569299fc986f5354d02e627a9eaa48ab46d5af52722307a0af72bae87e256dc
188.4
μs168.4
μs1.12
marlowe-role-payout/3565ee025317e065e8555eef288080276716366769aad89e03389f5ec4ce26d7
204.3
μs182.3
μs1.12
marlowe-role-payout/332c2b1c11383d1b373e1315201f1128010e0e1518332f273f141b23243f2a07
183.2
μs163.5
μs1.12
marlowe-role-payout/224ce46046fab9a17be4197622825f45cc0c59a6bd1604405148e43768c487ef
191.6
μs171.8
μs1.12
marlowe-role-payout/21a1426fb3fb3019d5dc93f210152e90b0a6e740ef509b1cdd423395f010e0ca
212.3
μs188.6
μs1.13
marlowe-role-payout/211e1b6c10260c4620074d2e372c260d38643a3d605f63772524034f0a4a7632
200.3
μs178.9
μs1.12
marlowe-role-payout/1a20b465d48a585ffd622bd8dc26a498a3c12f930ab4feab3a5064cfb3bc536a
210
μs188
μs1.12
marlowe-role-payout/195f522b596360690d04586a2563470f2214163435331a6622311f7323433f1c
185.5
μs165.6
μs1.12
marlowe-role-payout/159e5a1bf16fe984b5569be7011b61b5e98f5d2839ca7e1b34c7f2afc7ffb58e
190.4
μs170.2
μs1.12
marlowe-role-payout/121a0a1b12030616111f02121a0e070716090a0e031c071419121f141409031d
185.1
μs165
μs1.12
marlowe-role-payout/1138a04a83edc0579053f9ffa9394b41df38230121fbecebee8c039776a88c0c
191.8
μs171.5
μs1.12
marlowe-role-payout/0f010d040810040b10020e040f0e030b0a0d100f0c080c0c05000d04100c100f
219.5
μs195
μs1.13
marlowe-role-payout/0e97c9d9417354d9460f2eb35018d3904b7b035af16ab299258adab93be0911a
208.4
μs185.1
μs1.13
marlowe-role-payout/0e72f62b0f922e31a2340baccc768104025400cf7fdd7dae62fbba5fc770936d
214.4
μs191
μs1.12
marlowe-role-payout/0e00171d0f1e1f14070d0a00091f07101808021d081e1b120219081312081e15
193.1
μs172.3
μs1.12
marlowe-role-payout/0dbb692d2bf22d25eeceac461cfebf616f54003077a8473abc0457f18e025960
230.1
μs203.2
μs1.13
marlowe-role-payout/0d0f01050a0a0a0b0b050d0404090e0d0506000d0a041003040e0f100e0a0408
198.5
μs176.4
μs1.13
marlowe-role-payout/0c9d3634aeae7038f839a1262d1a8bc724dc77af9426459417a56ec73240f0e0
199
μs177.4
μs1.12
marlowe-role-payout/0bdca1cb8fa7e38e09062557b82490714052e84e2054e913092cd84ac071b961
224.6
μs198.8
μs1.13
marlowe-role-payout/07658a6c898ad6d624c37df1e49e909c2e9349ba7f4c0a6be5f166fe239bfcae
181.7
μs163
μs1.11
marlowe-role-payout/06317060a8e488b1219c9dae427f9ce27918a9e09ee8ac424afa33ca923f7954
202.1
μs180.3
μs1.12
marlowe-role-payout/057ebc80922f16a5f4bf13e985bf586b8cff37a2f6fe0f3ce842178c16981027
187.5
μs167.6
μs1.12
marlowe-role-payout/04f592afc6e57c633b9c55246e7c82e87258f04e2fb910c37d8e2417e9db46e5
266.8
μs235
μs1.14
marlowe-role-payout/041a2c3b111139201a3a2c173c392b170e16370d300f2d28342d0f2f0e182e01
226.1
μs200.6
μs1.13
marlowe-role-payout/0405010105020401010304080005050800040301010800080207080704020206
223.1
μs197.6
μs1.13
marlowe-role-payout/0403020000030204010000030001000202010101000304030001040404030100
204
μs181.7
μs1.12
marlowe-role-payout/03d730a62332c51c7b70c16c64da72dd1c3ea36c26b41cd1a1e00d39fda3d6cc
221.8
μs197.6
μs1.12
marlowe-role-payout/031d56d71454e2c4216ffaa275c4a8b3eb631109559d0e56f44ea8489f57ba97
233.5
μs205.8
μs1.13
marlowe-role-payout/0303020000020001010201060303040208070100050401080304020801030001
191.2
μs171.1
μs1.12
marlowe-role-payout/0202010002010100020102020102020001010101020102010001010101000100
192
μs172
μs1.12
marlowe-role-payout/0201020201020000020000010201020001020200000002010200000101010100
207.2
μs184.4
μs1.12
marlowe-role-payout/01dcc372ea619cb9f23c45b17b9a0a8a16b7ca0e04093ef8ecce291667a99a4c
184.1
μs164.4
μs1.12
marlowe-role-payout/0101000100000101010000010101000100010101000001000001000000010101
226
μs200.6
μs1.13
marlowe-role-payout/0100000100010000000001000100010101000101000001000000010000010000
297
μs259.7
μs1.14
marlowe-role-payout/0004000402010401030101030100040000010104020201030001000204020401
207.8
μs185.7
μs1.12
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