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Kwxm/conformance/two digit test names (#6627)
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* Rename files to add leading zeros

* Fix test case nesting for chooseList and nullList

* Fix names of tests excluded from agda-conformance

* Fix some bad renamings

* Fix some bad renamings

* Rename some of the constant tests as well

* Rename some of the constant tests as well

* More renaming

* More renaming for consistency
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kwxm authored Nov 4, 2024
1 parent ac8c225 commit cfcfe10
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4 changes: 2 additions & 2 deletions plutus-conformance/agda/Spec.hs
Original file line number Diff line number Diff line change
Expand Up @@ -124,8 +124,8 @@ failingBudgetTests =
-- https://github.com/IntersectMBO/plutus/pull/6368. Some of the budget tests
-- do pass, either because evaluation fails or because two different size
-- measures happen to be the same for small inputs.
[ "test-cases/uplc/evaluation/builtin/semantics/replicateByte/case-7"
, "test-cases/uplc/evaluation/builtin/semantics/replicateByte/case-9"
[ "test-cases/uplc/evaluation/builtin/semantics/replicateByte/case-07"
, "test-cases/uplc/evaluation/builtin/semantics/replicateByte/case-09"
, "test-cases/uplc/evaluation/builtin/semantics/writeBits/case-11"
, "test-cases/uplc/evaluation/builtin/semantics/writeBits/case-12"
, "test-cases/uplc/evaluation/builtin/semantics/writeBits/case-13"
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⚠️ Performance Alert ⚠️

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.

Benchmark suite Current: cfcfe10 Previous: ac8c225 Ratio
validation-auction_2-1 256.2 μs 179.8 μs 1.42
validation-auction_2-2 910.4 μs 637.8 μs 1.43
validation-auction_2-3 1189 μs 838 μs 1.42
validation-auction_2-4 900.9 μs 635.1 μs 1.42
validation-auction_2-5 330.2 μs 232.7 μs 1.42
validation-crowdfunding-success-1 298.9 μs 210.8 μs 1.42
validation-crowdfunding-success-2 298.8 μs 211.1 μs 1.42
validation-crowdfunding-success-3 299.9 μs 211.9 μs 1.42
validation-currency-1 356.9 μs 251.9 μs 1.42
validation-escrow-redeem_1-1 498.6 μs 351.6 μs 1.42
validation-escrow-redeem_1-2 499.6 μs 350.7 μs 1.42
validation-escrow-redeem_2-1 582.5 μs 410.4 μs 1.42
validation-escrow-redeem_2-2 580.9 μs 410.3 μs 1.42
validation-escrow-redeem_2-3 580.3 μs 411 μs 1.41
validation-escrow-refund-1 223.4 μs 157.8 μs 1.42
validation-future-increase-margin-1 356.3 μs 251.7 μs 1.42
validation-future-pay-out-3 572.3 μs 543.6 μs 1.05
validation-game-sm-success_1-1 413.9 μs 390.1 μs 1.06
validation-game-sm-success_1-4 250.9 μs 236 μs 1.06
validation-game-sm-success_2-4 256.8 μs 236.7 μs 1.08
validation-game-sm-success_2-5 906.9 μs 640.9 μs 1.42
validation-game-sm-success_2-6 335.6 μs 235.7 μs 1.42
validation-multisig-sm-1 559.6 μs 406.7 μs 1.38
validation-multisig-sm-2 547.6 μs 384.6 μs 1.42
validation-multisig-sm-3 450.2 μs 421.2 μs 1.07
validation-stablecoin_1-5 1908 μs 1347 μs 1.42
validation-stablecoin_1-6 368 μs 259.4 μs 1.42
validation-token-account-1 268.5 μs 249.5 μs 1.08
validation-token-account-2 422.1 μs 337.1 μs 1.25
validation-uniswap-6 456.3 μs 322.3 μs 1.42
validation-vesting-1 496.7 μs 347.9 μs 1.43
validation-decode-auction_1-1 273.3 μs 189.5 μs 1.44
validation-decode-auction_1-2 746.4 μs 531.1 μs 1.41
validation-decode-auction_1-3 773.6 μs 529 μs 1.46
validation-decode-auction_1-4 274.7 μs 192.1 μs 1.43
validation-decode-auction_2-1 275.8 μs 190 μs 1.45
validation-decode-auction_2-2 769.2 μs 531.1 μs 1.45
validation-decode-auction_2-3 771.1 μs 531.5 μs 1.45
validation-decode-auction_2-4 750.5 μs 531.3 μs 1.41
validation-decode-auction_2-5 275.1 μs 188.8 μs 1.46
validation-decode-crowdfunding-success-1 335.8 μs 230.5 μs 1.46
validation-decode-crowdfunding-success-2 335.6 μs 230 μs 1.46
validation-decode-crowdfunding-success-3 335.2 μs 242.2 μs 1.38
validation-decode-escrow-redeem_2-2 450.4 μs 378.5 μs 1.19
validation-decode-escrow-redeem_2-3 449.3 μs 308.7 μs 1.46
validation-decode-future-settle-early-4 775.6 μs 668.4 μs 1.16
validation-decode-game-sm-success_1-1 724.1 μs 515.4 μs 1.40
validation-decode-game-sm-success_1-2 168.2 μs 158.4 μs 1.06
validation-decode-game-sm-success_1-3 569.4 μs 513.9 μs 1.11
validation-decode-game-sm-success_1-4 233.2 μs 158.9 μs 1.47
validation-decode-game-sm-success_2-1 746.8 μs 514.6 μs 1.45
validation-decode-game-sm-success_2-2 232.8 μs 159.2 μs 1.46
validation-decode-game-sm-success_2-3 751.1 μs 515.2 μs 1.46
validation-decode-game-sm-success_2-4 232.5 μs 159.5 μs 1.46
validation-decode-game-sm-success_2-5 750.9 μs 515.7 μs 1.46
validation-decode-game-sm-success_2-6 232.7 μs 159.4 μs 1.46
validation-decode-multisig-sm-1 819.6 μs 560 μs 1.46
validation-decode-multisig-sm-2 703.6 μs 573 μs 1.23
validation-decode-multisig-sm-5 630.2 μs 593.2 μs 1.06
validation-decode-multisig-sm-6 832.3 μs 567 μs 1.47
validation-decode-multisig-sm-7 835.8 μs 573.9 μs 1.46
validation-decode-multisig-sm-8 836 μs 572.6 μs 1.46
validation-decode-multisig-sm-9 660.1 μs 573.9 μs 1.15
validation-decode-ping-pong-1 700.7 μs 481 μs 1.46
validation-decode-ping-pong-2 693.6 μs 473.2 μs 1.47
validation-decode-ping-pong_2-1 701.7 μs 496.7 μs 1.41
validation-decode-prism-3 342 μs 238.3 μs 1.44
validation-decode-pubkey-1 233.4 μs 160.4 μs 1.46
validation-decode-stablecoin_1-1 1226 μs 852.6 μs 1.44
validation-decode-stablecoin_1-2 231.8 μs 159.4 μs 1.45
validation-decode-stablecoin_1-3 1224 μs 849.6 μs 1.44
validation-decode-uniswap-5 1044 μs 963.3 μs 1.08
validation-decode-uniswap-6 253.5 μs 173.9 μs 1.46
validation-decode-vesting-1 440.8 μs 311.8 μs 1.41
nofib-clausify/formula1 4400 μs 3077 μs 1.43
nofib-clausify/formula2 4377 μs 4112 μs 1.06
nofib-knights/8x8 86960 μs 82590 μs 1.05
nofib-primetest/05digits 12510 μs 10340 μs 1.21
nofib-primetest/10digits 24330 μs 20250 μs 1.20
nofib-primetest/30digits 91100 μs 62470 μs 1.46
nofib-primetest/50digits 150800 μs 103300 μs 1.46
nofib-queens4x4/bt 7106 μs 5396 μs 1.32
nofib-queens4x4/fc 14700 μs 13880 μs 1.06
marlowe-semantics/0000020002010200020101020201000100010001020101020201010000020102 382.1 μs 315.5 μs 1.21
marlowe-semantics/8c7fdc3da6822b5112074380003524f50fb3a1ce6db4e501df1086773c6c0201 1620 μs 1136 μs 1.43
marlowe-semantics/8d9ae67656a2911ab15a8e5301c960c69aa2517055197aff6b60a87ff718d66c 495.3 μs 348.1 μs 1.42
marlowe-semantics/96e1a2fa3ceb9a402f2a5841a0b645f87b4e8e75beb636692478ec39f74ee221 423.5 μs 297.2 μs 1.42
marlowe-semantics/9fabc4fc3440cdb776b28c9bb1dd49c9a5b1605fe1490aa3f4f64a3fa8881b25 1426 μs 998.9 μs 1.43
marlowe-semantics/b50170cea48ee84b80558c02b15c6df52faf884e504d2c410ad63ba46d8ca35c 786.1 μs 748.4 μs 1.05
marlowe-semantics/bb5345bfbbc460af84e784b900ec270df1948bb1d1e29eacecd022eeb168b315 1342 μs 943.5 μs 1.42
marlowe-semantics/c4bb185380df6e9b66fc1ee0564f09a8d1253a51a0c0c7890f2214df9ac19274 1037 μs 727.5 μs 1.43
marlowe-semantics/c9efcb705ee057791f7c18a1de79c49f6e40ba143ce0579f1602fd780cabf153 1142 μs 800 μs 1.43
marlowe-semantics/ccab11ce1a8774135d0e3c9e635631b68af9e276b5dabc66ff669d5650d0be1c 1409 μs 981.1 μs 1.44
marlowe-semantics/cdb9d5c233b288a5a9dcfbd8d5c1831a0bb46eec7a26fa31b80ae69d44805efc 1080 μs 862.9 μs 1.25
marlowe-semantics/ced1ea04649e093a501e43f8568ac3e6b37cd3eccec8cac9c70a4857b88a5eb8 1168 μs 820.3 μs 1.42
marlowe-semantics/cf542b7df466b228ca2197c2aaa89238a8122f3330fe5b77b3222f570395d9f5 680.4 μs 477.9 μs 1.42
marlowe-semantics/d1ab832dfab25688f8845bec9387e46ee3f00ba5822197ade7dd540489ec5e95 48500 μs 36280 μs 1.34
marlowe-semantics/d1c03759810747b7cab38c4296593b38567e11195d161b5bb0a2b58f89b2c65a 1426 μs 998.9 μs 1.43
marlowe-semantics/d64607eb8a1448595081547ea8780886fcbd9e06036460eea3705c88ea867e33 423.5 μs 297.6 μs 1.42
marlowe-semantics/dc241ac6ad1e04fb056d555d6a4f2d08a45d054c6f7f34355fcfeefebef479f3 651 μs 456.9 μs 1.42
marlowe-semantics/dd11ae574eaeab0e9925319768989313a93913fdc347c704ddaa27042757d990 1058 μs 740 μs 1.43
marlowe-semantics/e26c1cddba16e05fd10c34cbdb16ea6acdbac7c8323256c31c90c520ee6a1080 518 μs 364.8 μs 1.42
marlowe-semantics/e34b48f80d49360e88c612f4016f7d68cb5678dd8cd5ddb981375a028b3a40a5 540 μs 380.9 μs 1.42
marlowe-semantics/e3afd22d01ff12f381cf915fd32358634e6c413f979f2492cf3339319d8cc079 421.5 μs 297.5 μs 1.42
marlowe-semantics/e9234d2671760874f3f660aae5d3416d18ce6dfd7af4231bdd41b9ec268bc7e1 1343 μs 1036 μs 1.30
marlowe-semantics/f339f59bdf92495ed2b14e2e4d3705972b4dda59aa929cffe0f1ff5355db8d79 6421 μs 4866 μs 1.32
marlowe-semantics/ffdd68a33afd86f8844c9f5e45b2bda5b035aa02274161b23d57709c0f8b8de6 1335 μs 938.8 μs 1.42
marlowe-role-payout/0004000402010401030101030100040000010104020201030001000204020401 262.1 μs 183.2 μs 1.43
marlowe-role-payout/0100000100010000000001000100010101000101000001000000010000010000 357.2 μs 250.1 μs 1.43
marlowe-role-payout/0101000100000101010000010101000100010101000001000001000000010101 270.5 μs 189.3 μs 1.43
marlowe-role-payout/01dcc372ea619cb9f23c45b17b9a0a8a16b7ca0e04093ef8ecce291667a99a4c 225.9 μs 158.7 μs 1.42
marlowe-role-payout/0201020201020000020000010201020001020200000002010200000101010100 256.5 μs 180 μs 1.43
marlowe-role-payout/0202010002010100020102020102020001010101020102010001010101000100 241.1 μs 168.4 μs 1.43
marlowe-role-payout/0303020000020001010201060303040208070100050401080304020801030001 241.1 μs 169.4 μs 1.42
marlowe-role-payout/031d56d71454e2c4216ffaa275c4a8b3eb631109559d0e56f44ea8489f57ba97 285.1 μs 200.4 μs 1.42
marlowe-role-payout/03d730a62332c51c7b70c16c64da72dd1c3ea36c26b41cd1a1e00d39fda3d6cc 269 μs 189.3 μs 1.42
marlowe-role-payout/0403020000030204010000030001000202010101000304030001040404030100 249.1 μs 174.4 μs 1.43
marlowe-role-payout/0405010105020401010304080005050800040301010800080207080704020206 274.8 μs 193.1 μs 1.42
marlowe-role-payout/041a2c3b111139201a3a2c173c392b170e16370d300f2d28342d0f2f0e182e01 273.7 μs 192.3 μs 1.42
marlowe-role-payout/04f592afc6e57c633b9c55246e7c82e87258f04e2fb910c37d8e2417e9db46e5 319.1 μs 223.4 μs 1.43
marlowe-role-payout/057ebc80922f16a5f4bf13e985bf586b8cff37a2f6fe0f3ce842178c16981027 234.5 μs 166 μs 1.41
marlowe-role-payout/06317060a8e488b1219c9dae427f9ce27918a9e09ee8ac424afa33ca923f7954 248.1 μs 174.1 μs 1.43
marlowe-role-payout/07658a6c898ad6d624c37df1e49e909c2e9349ba7f4c0a6be5f166fe239bfcae 227 μs 159.3 μs 1.42
marlowe-role-payout/0bdca1cb8fa7e38e09062557b82490714052e84e2054e913092cd84ac071b961 273.8 μs 192.3 μs 1.42
marlowe-role-payout/0c9d3634aeae7038f839a1262d1a8bc724dc77af9426459417a56ec73240f0e0 245 μs 171.5 μs 1.43
marlowe-role-payout/0d0f01050a0a0a0b0b050d0404090e0d0506000d0a041003040e0f100e0a0408 243.1 μs 170.1 μs 1.43
marlowe-role-payout/0dbb692d2bf22d25eeceac461cfebf616f54003077a8473abc0457f18e025960 276.8 μs 193.6 μs 1.43
marlowe-role-payout/0e00171d0f1e1f14070d0a00091f07101808021d081e1b120219081312081e15 235.4 μs 165.5 μs 1.42
marlowe-role-payout/0e72f62b0f922e31a2340baccc768104025400cf7fdd7dae62fbba5fc770936d 262.5 μs 184.1 μs 1.43
marlowe-role-payout/0e97c9d9417354d9460f2eb35018d3904b7b035af16ab299258adab93be0911a 260.4 μs 182.4 μs 1.43
marlowe-role-payout/0f010d040810040b10020e040f0e030b0a0d100f0c080c0c05000d04100c100f 272.9 μs 190.7 μs 1.43
marlowe-role-payout/1138a04a83edc0579053f9ffa9394b41df38230121fbecebee8c039776a88c0c 240.8 μs 169.2 μs 1.42
marlowe-role-payout/121a0a1b12030616111f02121a0e070716090a0e031c071419121f141409031d 232.6 μs 163.4 μs 1.42
marlowe-role-payout/159e5a1bf16fe984b5569be7011b61b5e98f5d2839ca7e1b34c7f2afc7ffb58e 237 μs 166.6 μs 1.42
marlowe-role-payout/195f522b596360690d04586a2563470f2214163435331a6622311f7323433f1c 230.9 μs 162.2 μs 1.42
marlowe-role-payout/1a20b465d48a585ffd622bd8dc26a498a3c12f930ab4feab3a5064cfb3bc536a 257 μs 180.3 μs 1.43
marlowe-role-payout/211e1b6c10260c4620074d2e372c260d38643a3d605f63772524034f0a4a7632 247.3 μs 173.3 μs 1.43
marlowe-role-payout/21a1426fb3fb3019d5dc93f210152e90b0a6e740ef509b1cdd423395f010e0ca 259.8 μs 182.2 μs 1.43
marlowe-role-payout/224ce46046fab9a17be4197622825f45cc0c59a6bd1604405148e43768c487ef 241 μs 168.8 μs 1.43
marlowe-role-payout/332c2b1c11383d1b373e1315201f1128010e0e1518332f273f141b23243f2a07 229.6 μs 160.8 μs 1.43
marlowe-role-payout/3565ee025317e065e8555eef288080276716366769aad89e03389f5ec4ce26d7 248.9 μs 174.9 μs 1.42
marlowe-role-payout/3569299fc986f5354d02e627a9eaa48ab46d5af52722307a0af72bae87e256dc 235.7 μs 165.9 μs 1.42
marlowe-role-payout/36866914aa07cf62ef36cf2cd64c7f240e3371e27bb9fff5464301678e809c40 235.4 μs 165.4 μs 1.42
marlowe-role-payout/371c10d2526fc0f09dbe9ed59e44dcd949270b27dc42035addd7ff9f7e0d05e7 278.1 μs 195.1 μs 1.43
marlowe-role-payout/3897ef714bba3e6821495b706c75f8d64264c3fdaa58a3826c808b5a768c303d 242.5 μs 170 μs 1.43
marlowe-role-payout/4121d88f14387d33ac5e1329618068e3848445cdd66b29e5ba382be2e02a174a 274.7 μs 193.6 μs 1.42
marlowe-role-payout/4299c7fcf093a5dbfe114c188e32ca199b571a7c25cb7f766bf49f12dab308be 260.9 μs 182.9 μs 1.43
marlowe-role-payout/452e17d16222a427707fa83f63ffb79f606cc25c755a18b1e3274c964ed5ec99 283.6 μs 198.1 μs 1.43
marlowe-role-payout/46f8d00030436e4da490a86b331fa6c3251425fb8c19556080e124d75bad7bd6 239.2 μs 168.3 μs 1.42
marlowe-role-payout/47364cfaf2c00f7d633283dce6cf84e4fd4e8228c0a0aa50e7c55f35c3ecaa1c 239.5 μs 168.1 μs 1.42
marlowe-role-payout/49b8275d0cb817be40865694ab05e3cfe5fc35fb43b78e7de68c1f3519b536bd 246.2 μs 172.6 μs 1.43
marlowe-role-payout/4dd7755b6ca1f0c9747c1fc0ee4da799f6f1c07108e980bd9f820911ad711ff2 308.4 μs 215.7 μs 1.43
marlowe-role-payout/4fbcfdb577a56b842d6f6938187a783f71d9da7519353e3da3ef0c564e1eb344 285.2 μs 200.6 μs 1.42
marlowe-role-payout/5a0725d49c733130eda8bc6ed5234f7f6ff8c9dd2d201e8806125e5fbcc081f9 249.7 μs 175.2 μs 1.43
marlowe-role-payout/5a2aae344e569a2c644dd9fa8c7b1f129850937eb562b7748c275f9e40bed596 239.4 μs 167.6 μs 1.43
marlowe-role-payout/5ade103e9530dd0d572fe1b053ea65ad925c6ebbe321e873ace8b804363fa82c 322.5 μs 226.1 μs 1.43
marlowe-role-payout/5d4c62a0671c65a14f6a15093e3efc4f1816d95a5a58fd92486bedaae8d9526b 274.1 μs 238.4 μs 1.15
marlowe-role-payout/674b0577409957172ad85223c765d17e94c27714276c49c38dfae0a47a561a1e 230.2 μs 161.3 μs 1.43
marlowe-role-payout/6b7bc2b9002a71b33cfd535d43f26334a283d0b9ad189b7cd74baac232c3b9fc 227.8 μs 159.9 μs 1.42
marlowe-role-payout/6c364699767a84059ffd99cf718562a8c09d96e343f23dc481e8ffda13af424f 239.4 μs 168.4 μs 1.42
marlowe-role-payout/6d66bddb4269bdf77392d3894da5341cf019d39787522af4f83f01285991e93c 236.8 μs 166.2 μs 1.42
marlowe-role-payout/87167fc5469adac97c1be749326fa79a6b7862ce68aa4abcb438e3c034bd0899 246.5 μs 195.5 μs 1.26
marlowe-role-payout/8c0fa5d9d6724c5c72c67e055d4bfc36a385ded7c3c81c08cdbd8705829af6e6 277.6 μs 194.3 μs 1.43
marlowe-role-payout/962c2c658b19904372984a56409707401e64e9b03c1986647134cfd329ec5139 258.5 μs 180.5 μs 1.43
marlowe-role-payout/996804e90f2c75fe68886fc8511304b8ab9b36785f8858f5cb098e91c159dde9 244.7 μs 171.3 μs 1.43
marlowe-role-payout/a004a989c005d59043f996500e110fa756ad1b85800b889d5815a0106388e1d7 233.3 μs 175.3 μs 1.33
marlowe-role-payout/a6664a2d2a82f370a34a36a45234f6b33120a39372331678a3b3690312560ce9 287.9 μs 201.6 μs 1.43
marlowe-role-payout/a6f064b83b31032ea7f25921364727224707268e472a569f584cc6b1d8c017e8 237.2 μs 166.2 μs 1.43
marlowe-role-payout/a7cb09f417c3f089619fe25b7624392026382b458486129efcff18f8912bf302 239.6 μs 167.7 μs 1.43
marlowe-role-payout/a92b4072cb8601fa697e1150c08463b14ffced54eb963df08d322216e27373cb 236.6 μs 166.2 μs 1.42
marlowe-role-payout/af2e072b5adfaa7211e0b341e1f7319c4f4e7364a4247c9247132a927e914753 279.2 μs 195.6 μs 1.43
marlowe-role-payout/b43564af5f13cc5208b92b1ad6d45369446f378d3891e5cb3e353b30d4f3fb10 236.7 μs 166.4 μs 1.42
marlowe-role-payout/bcdbc576d63b0454100ad06893812edafc2e7e4934fec1b44e2d06eb34f36eb8 237.1 μs 181.3 μs 1.31
marlowe-role-payout/bd460b7549b70c52e37b312a4242041eac18fe4a266f018bcea0c78a9085a271 271.8 μs 190.5 μs 1.43
marlowe-role-payout/bd79f4a84db23b7c4cd219d498bd581e085cbc3437957e74a8862281a700700b 271.7 μs 191.5 μs 1.42
marlowe-role-payout/c11490431db3a92efdda70933ba411a0423935e73a75c856e326dbcf6672f3bf 243.5 μs 192.1 μs 1.27
marlowe-role-payout/c4d4c88c5fe378a25a034025994a0d0b1642f10c8e6e513f872327fa895bfc7e 252.8 μs 177.5 μs 1.42
marlowe-role-payout/c78eeba7681d2ab51b4758efa4c812cc041928837c6e7563d8283cce67ce2e02 253.6 μs 177.4 μs 1.43
marlowe-role-payout/c99ecc2146ce2066ba6dffc734923264f8794815acbc2ec74c2c2c42ba272e4d 291.7 μs 203.8 μs 1.43
marlowe-role-payout/caa409c40e39aed9b0f59214b4baa178c375526dea6026b4552b88d2cc729716 227.3 μs 159.1 μs 1.43
marlowe-role-payout/cb2ab8e22d1f64e8d204dece092e90e9bf1fa8b2a6e9cba5012dbe4978065832 240.3 μs 168.9 μs 1.42
marlowe-role-payout/cc1e82927f6c65b3e912200ae30588793d2066e1d4a6627c21955944ac9bd528 267.3 μs 187.5 μs 1.43
marlowe-role-payout/d5cda74eb0947e025e02fb8ed365df39d0a43e4b42cd3573ac2d8fcb29115997 258.7 μs 181.2 μs 1.43
marlowe-role-payout/d6bc8ac4155e22300085784148bbc9d9bbfea896e1009dd396610a90e3943032 272 μs 190.3 μs 1.43
marlowe-role-payout/da353bf9219801fa1bf703fc161497570954e9af7e10ffe95c911a9ef97e77bd 246 μs 172.5 μs 1.43
marlowe-role-payout/dc45c5f1b700b1334db99f50823321daaef0e6925b9b2fabbc9df7cde65af62e 246.1 μs 172.8 μs 1.42
marlowe-role-payout/df487b2fd5c1583fa33644423849bc1ab5f02f37edc0c235f34ef01cb12604f6 249.5 μs 174.9 μs 1.43
marlowe-role-payout/eabeeae18131af89fa57936c0e9eb8d2c7adba534f7e1a517d75410028fa0d6c 237.6 μs 166.2 μs 1.43
marlowe-role-payout/ec4712ee820eb959a43ebedfab6735f2325fa52994747526ffd2a4f4f84dd58e 269.3 μs 189.5 μs 1.42
marlowe-role-payout/ee3962fbd7373360f46decef3c9bda536a0b1daf6cda3b8a4bcfd6deeb5b4c53 271.6 μs 190.7 μs 1.42
marlowe-role-payout/f1a1e6a487f91feca5606f72bbb1e948c71abf043c6a0ea83bfea9ec6a0f08d8 239.4 μs 168.6 μs 1.42
marlowe-role-payout/f2932e4ca4bbb94b0a9ffbe95fcb7bd5639d9751d75d56d5e14efa5bbed981df 235.3 μs 165.4 μs 1.42
marlowe-role-payout/f53e8cafe26647ccce51e4c31db13608aea1f39034c0f52dee2e5634ef66e747 258 μs 181.4 μs 1.42
marlowe-role-payout/f7275afb60e33a550df13a132102e7e925dd28965a4efbe510a89b077ff9417f 236.9 μs 166.6 μs 1.42
marlowe-role-payout/fc8c5f45ffcdb024c21e0f34b22c23de8045a94d5e1a5bda1555c45ddb059f82 247 μs 174 μs 1.42
marlowe-role-payout/ff38b1ec89952d0247630f107a90cbbeb92ecbfcd19b284f60255718e4ec7548 280 μs 196.8 μs 1.42

This comment was automatically generated by workflow using github-action-benchmark.

CC: @IntersectMBO/plutus-core

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