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Fix haddock dropdown element in haddock index (#6556)
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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
.validation-auction_2-5
272.9
μs242.4
μs1.13
validation-ping-pong-1
469.5
μs447.1
μs1.05
validation-ping-pong-2
470.3
μs390.8
μs1.20
validation-stablecoin_1-3
1490
μs1398
μs1.07
validation-uniswap-1
593.5
μs416.5
μs1.42
validation-uniswap-2
315.9
μs220.3
μs1.43
validation-uniswap-3
2490
μs1752
μs1.42
validation-uniswap-4
478.1
μs335
μs1.43
validation-uniswap-5
1637
μs1154
μs1.42
validation-uniswap-6
456.9
μs319.7
μs1.43
validation-vesting-1
500.2
μs351.7
μs1.42
validation-decode-stablecoin_2-2
182.5
μs162.4
μs1.12
validation-decode-stablecoin_2-3
1064
μs844.4
μs1.26
validation-decode-uniswap-2
327.9
μs306.7
μs1.07
validation-decode-uniswap-3
1032
μs719.8
μs1.43
validation-decode-uniswap-4
253.8
μs178.3
μs1.42
validation-decode-uniswap-5
1029
μs720
μs1.43
validation-decode-uniswap-6
254.6
μs194.1
μs1.31
nofib-primetest/50digits
147600
μs127400
μs1.16
nofib-queens4x4/bt
7599
μs5328
μs1.43
nofib-queens4x4/bm
9639
μs6796
μs1.42
nofib-queens4x4/bjbt1
9222
μs6509
μs1.42
nofib-queens4x4/bjbt2
8650
μs6098
μs1.42
nofib-queens4x4/fc
14910
μs13850
μs1.08
nofib-queens5x5/bt
88310
μs72920
μs1.21
nofib-queens5x5/bm
85330
μs77890
μs1.10
nofib-queens5x5/bjbt1
121300
μs85630
μs1.42
nofib-queens5x5/bjbt2
117300
μs99280
μs1.18
marlowe-semantics/004025fd712d6c325ffa12c16d157064192992faf62e0b991d7310a2f91666b8
1189
μs858.3
μs1.39
marlowe-semantics/0104010200020000040103020102020004040300030304040400010301040303
1146
μs1016
μs1.13
marlowe-semantics/12910f24d994d451ff379b12c9d1ecdb9239c9b87e5d7bea570087ec506935d5
723.4
μs505.5
μs1.43
marlowe-semantics/18cefc240debc0fcab14efdd451adfd02793093efe7bc76d6322aed6ddb582ad
1098
μs768.3
μs1.43
marlowe-semantics/1a2f2540121f09321216090b2b1f211e3f020c2c133a1a3c3f3c232a26153a04
445.2
μs310.2
μs1.44
marlowe-semantics/1a573aed5c46d637919ccb5548dfc22a55c9fc38298d567d15ee9f2eea69d89e
1322
μs923.6
μs1.43
marlowe-semantics/1d56060c3b271226064c672a282663643b1b0823471c67737f0b076870331260
1140
μs793.4
μs1.44
marlowe-semantics/1d6e3c137149a440f35e0efc685b16bfb8052ebcf66ec4ad77e51c11501381c7
442.6
μs309.1
μs1.43
marlowe-semantics/1f0f02191604101e1f201016171604060d010d1d1c150e110a110e1006160a0d
1472
μs1040
μs1.42
marlowe-semantics/202d273721330b31193405101e0637202e2a0f1140211c3e3f171e26312b0220
8303
μs6014
μs1.38
marlowe-semantics/21953bf8798b28df60cb459db24843fb46782b19ba72dc4951941fb4c20d2263
524.7
μs365.5
μs1.44
marlowe-semantics/238b21364ab5bdae3ddb514d7001c8feba128b4ddcf426852b441f9a9d02c882
438.7
μs306.8
μs1.43
marlowe-semantics/26e24ee631a6d927ea4fb4fac530cfd82ff7636986014de2d2aaa460ddde0bc3
823.7
μs573.6
μs1.44
marlowe-semantics/2797d7ac77c1b6aff8e42cf9a47fa86b1e60f22719a996871ad412cbe4de78b5
2667
μs1888
μs1.41
marlowe-semantics/28fdce478e179db0e38fb5f3f4105e940ece450b9ce8a0f42a6e313b752e6f2c
1365
μs952.5
μs1.43
marlowe-semantics/2cb21612178a2d9336b59d06cbf80488577463d209a453048a66c6eee624a695
1153
μs801
μs1.44
marlowe-semantics/2f58c9d884813042bce9cf7c66048767dff166785e8b5183c8139db2aa7312d1
1122
μs785.4
μs1.43
marlowe-semantics/30aa34dfbe89e0c43f569929a96c0d2b74c321d13fec0375606325eee9a34a6a
1683
μs1174
μs1.43
marlowe-semantics/322acde099bc34a929182d5b894214fc87ec88446e2d10625119a9d17fa3ec3d
443.7
μs310.9
μs1.43
marlowe-semantics/331e4a1bb30f28d7073c54f9a13c10ae19e2e396c299a0ce101ee6bf4b2020db
679.9
μs476.5
μs1.43
marlowe-semantics/33c3efd79d9234a78262b52bc6bbf8124cb321a467dedb278328215167eca455
920.1
μs641.8
μs1.43
marlowe-semantics/383683bfcecdab0f4df507f59631c702bd11a81ca3841f47f37633e8aacbb5de
1117
μs778.1
μs1.44
marlowe-semantics/3bb75b2e53eb13f718eacd3263ab4535f9137fabffc9de499a0de7cabb335479
436.9
μs306
μs1.43
marlowe-semantics/3db496e6cd39a8b888a89d0de07dace4397878958cab3b9d9353978b08c36d8a
1217
μs846.8
μs1.44
marlowe-semantics/44a9e339fa25948b48637fe7e10dcfc6d1256319a7b5ce4202cb54dfef8e37e7
436
μs304.8
μs1.43
marlowe-semantics/4c3efd13b6c69112a8a888372d56c86e60c232125976f29b1c3e21d9f537845c
1505
μs1045
μs1.44
marlowe-semantics/4d7adf91bfc93cebe95a7e054ec17cfbb912b32bd8aecb48a228b50e02b055c8
1020
μs713.6
μs1.43
marlowe-semantics/4f9e8d361b85e62db2350dd3ae77463540e7af0d28e1eb68faeecc45f4655f57
581.9
μs405.7
μs1.43
marlowe-semantics/52df7c8dfaa5f801cd837faa65f2fd333665fff00a555ce8c55e36ddc003007a
534.4
μs371.1
μs1.44
marlowe-semantics/53ed4db7ab33d6f907eec91a861d1188269be5ae1892d07ee71161bfb55a7cb7
543
μs378.7
μs1.43
marlowe-semantics/55dfe42688ad683b638df1fa7700219f00f53b335a85a2825502ab1e0687197e
439.4
μs304.5
μs1.44
marlowe-semantics/56333d4e413dbf1a665463bf68067f63c118f38f7539b7ba7167d577c0c8b8ce
1133
μs795.3
μs1.42
marlowe-semantics/57728d8b19b0e06412786f3dfed9e1894cd0ad1d2bc2bd497ec0ecb68f989d2b
436.8
μs304.2
μs1.44
marlowe-semantics/5abae75af26f45658beccbe48f7c88e74efdfc0b8409ba1e98f95fa5b6caf999
714.1
μs499.4
μs1.43
marlowe-semantics/5d0a88250f13c49c20e146819357a808911c878a0e0a7d6f7fe1d4a619e06112
1527
μs1066
μs1.43
marlowe-semantics/5e274e0f593511543d41570a4b03646c1d7539062b5728182e073e5760561a66
1474
μs1033
μs1.43
marlowe-semantics/5e2c68ac9f62580d626636679679b97109109df7ac1a8ce86d3e43dfb5e4f6bc
756.7
μs526.7
μs1.44
marlowe-semantics/5f130d19918807b60eab4c03119d67878fb6c6712c28c54f5a25792049294acc
445.8
μs310.4
μs1.44
marlowe-semantics/5f306b4b24ff2b39dab6cdc9ac6ca9bb442c1dc6f4e7e412eeb5a3ced42fb642
1106
μs773.5
μs1.43
marlowe-semantics/5f3d46c57a56cef6764f96c9de9677ac6e494dd7a4e368d1c8dd9c1f7a4309a5
718.5
μs500.6
μs1.44
marlowe-semantics/64c3d5b43f005855ffc4d0950a02fd159aa1575294ea39061b81a194ebb9eaae
973.5
μs677.4
μs1.44
marlowe-semantics/65bc4b69b46d18fdff0fadbf00dd5ec2b3e03805fac9d5fb4ff2d3066e53fc7e
3513
μs2475
μs1.42
marlowe-semantics/66af9e473d75e3f464971f6879cc0f2ef84bafcb38fbfa1dbc31ac2053628a38
1840
μs1277
μs1.44
marlowe-semantics/675d63836cad11b547d1b4cddd498f04c919d4342612accf40913f9ae9419fac
1524
μs1055
μs1.44
marlowe-semantics/67ba5a9a0245ee3aff4f34852b9889b8c810fccd3dce2a23910bddd35c503b71
7983
μs5895
μs1.35
marlowe-semantics/6d88f7294dd2b5ce02c3dc609bc7715bd508009738401d264bf9b3eb7c6f49c1
714.3
μs500.2
μs1.43
marlowe-semantics/70f65b21b77ddb451f3df9d9fb403ced3d10e1e953867cc4900cc25e5b9dec47
1153
μs808.8
μs1.43
marlowe-semantics/7a758e17486d1a30462c32a5d5309bd1e98322a9dcbe277c143ed3aede9d265f
753
μs679.2
μs1.11
marlowe-semantics/7cbc5644b745f4ea635aca42cce5e4a4b9d2e61afdb3ac18128e1688c07071ba
692.1
μs484.7
μs1.43
This comment was automatically generated by workflow using github-action-benchmark.
CC: @IntersectMBO/plutus-core