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Update cross-spawn@^7.0.3 (#6710)
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@zeme-wana
zeme-wana authored Nov 27, 2024
1 parent 7a66eb2 commit c469a93
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3 changes: 2 additions & 1 deletion doc/docusaurus/package.json
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Expand Up @@ -30,7 +30,8 @@
"typescript": "~5.2.2"
},
"resolutions": {
"cheerio": "1.0.0-rc.12"
"cheerio": "1.0.0-rc.12",
"cross-spawn": "7.0.5"
},
"browserslist": {
"production": [
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8 changes: 4 additions & 4 deletions doc/docusaurus/yarn.lock
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Expand Up @@ -3666,10 +3666,10 @@ cosmiconfig@^8.1.3, cosmiconfig@^8.3.5:
parse-json "^5.2.0"
path-type "^4.0.0"

cross-spawn@^7.0.3:
version "7.0.3"
resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.3.tgz#f73a85b9d5d41d045551c177e2882d4ac85728a6"
integrity sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==
cross-spawn@7.0.5, cross-spawn@^7.0.3:
version "7.0.5"
resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.5.tgz#910aac880ff5243da96b728bc6521a5f6c2f2f82"
integrity sha512-ZVJrKKYunU38/76t0RMOulHOnUcbU9GbpWKAOZ0mhjr7CX6FVrH+4FrAapSOekrgFQ3f/8gwMEuIft0aKq6Hug==
dependencies:
path-key "^3.1.0"
shebang-command "^2.0.0"
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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: c469a93 Previous: 7a66eb2 Ratio
validation-crowdfunding-success-3 229.4 μs 213.6 μs 1.07
validation-currency-1 307.4 μs 235.5 μs 1.31
validation-escrow-redeem_1-1 435.5 μs 336.2 μs 1.30
validation-escrow-redeem_1-2 428.5 μs 335.9 μs 1.28
validation-escrow-redeem_2-2 508.2 μs 401.2 μs 1.27
validation-escrow-redeem_2-3 509.7 μs 391 μs 1.30
validation-escrow-refund-1 198.4 μs 157.9 μs 1.26
validation-future-increase-margin-1 310 μs 235.3 μs 1.32
validation-future-pay-out-3 538.8 μs 489.6 μs 1.10
validation-future-settle-early-1 269.2 μs 235.5 μs 1.14
validation-game-sm-success_2-1 413.7 μs 374.1 μs 1.11
validation-ping-pong-1 330.1 μs 313.7 μs 1.05
validation-ping-pong-2 398.2 μs 313.8 μs 1.27
validation-ping-pong_2-1 252.8 μs 195.3 μs 1.29
validation-prism-1 222.8 μs 170.9 μs 1.30
validation-prism-2 511 μs 392.7 μs 1.30
validation-prism-3 460.8 μs 354.1 μs 1.30
validation-pubkey-1 189.7 μs 145.1 μs 1.31
validation-stablecoin_1-1 1132 μs 872.1 μs 1.30
validation-stablecoin_1-2 258.6 μs 198.1 μs 1.31
validation-stablecoin_1-3 1317 μs 1115 μs 1.18
validation-stablecoin_1-4 260.3 μs 211.2 μs 1.23
validation-stablecoin_1-5 1299 μs 1226 μs 1.06
validation-stablecoin_1-6 262.4 μs 241.3 μs 1.09
validation-stablecoin_2-1 880.6 μs 833.6 μs 1.06
validation-decode-auction_1-1 267 μs 202 μs 1.32
validation-decode-auction_1-2 574.1 μs 538.2 μs 1.07
validation-decode-future-increase-margin-5 867.8 μs 743.6 μs 1.17
validation-decode-future-pay-out-1 346.7 μs 259.2 μs 1.34
validation-decode-future-pay-out-2 443.5 μs 350.1 μs 1.27
validation-decode-future-pay-out-3 432.8 μs 349.9 μs 1.24
validation-decode-future-pay-out-4 868.2 μs 742.9 μs 1.17
validation-decode-future-settle-early-1 326 μs 258 μs 1.26
validation-decode-future-settle-early-2 398.4 μs 349.6 μs 1.14
validation-decode-uniswap-5 881.4 μs 797.5 μs 1.11
nofib-clausify/formula3 12630 μs 9870 μs 1.28
nofib-knights/4x4 20930 μs 16230 μs 1.29
nofib-knights/6x6 47890 μs 41890 μs 1.14
nofib-knights/8x8 100000 μs 73720 μs 1.36
nofib-primetest/05digits 13880 μs 9759 μs 1.42
nofib-primetest/10digits 27190 μs 22870 μs 1.19
nofib-primetest/30digits 83560 μs 64269.99999999999 μs 1.30
nofib-queens4x4/bt 5762 μs 5209 μs 1.11
nofib-queens4x4/bm 8430 μs 6425 μs 1.31
nofib-queens4x4/bjbt1 8154.999999999999 μs 5789 μs 1.41
nofib-queens4x4/bjbt2 7657 μs 5460 μs 1.40
nofib-queens5x5/fc 190500 μs 153700 μs 1.24
marlowe-semantics/0000020002010200020101020201000100010001020101020201010000020102 418.3 μs 326 μs 1.28
marlowe-semantics/0001000101000000010101000001000001010101010100000001000001010000 561.9 μs 439.6 μs 1.28
marlowe-semantics/0003040402030103010203030303000200000104030002040304020400000102 1284 μs 991 μs 1.30
marlowe-semantics/004025fd712d6c325ffa12c16d157064192992faf62e0b991d7310a2f91666b8 1043 μs 807.2 μs 1.29
marlowe-semantics/0101010001010101010101000100010100000001010000010001000001000101 1202 μs 940.9 μs 1.28
marlowe-semantics/0101020201010201010200010102000201000201010102000102010201010000 389.9 μs 303 μs 1.29
marlowe-semantics/0101080808040600020306010000000302050807010208060100070207080202 965.3 μs 751.6 μs 1.28
marlowe-semantics/0104010200020000040103020102020004040300030304040400010301040303 995.3 μs 773.8 μs 1.29
marlowe-semantics/04000f0b04051006000e060f09080d0b090d0104050a0b0f0506070f0a070008 948.3 μs 742.1 μs 1.28
marlowe-semantics/0543a00ba1f63076c1db6bf94c6ff13ae7d266dd7544678743890b0e8e1add63 1357 μs 1051 μs 1.29
marlowe-semantics/0705030002040601010206030604080208020207000101060706050502040301 1328 μs 1030 μs 1.29
marlowe-semantics/07070c070510030509010e050d00040907050e0a0d06030f1006030701020607 1291 μs 998.3 μs 1.29
marlowe-semantics/0bcfd9487614104ec48de2ea0b2c0979866a95115748c026f9ec129384c262c4 1439 μs 1113 μs 1.29
marlowe-semantics/0be82588e4e4bf2ef428d2f44b7687bbb703031d8de696d90ec789e70d6bc1d8 1708 μs 1320 μs 1.29
marlowe-semantics/0f1d0110001b121d051e15140c0c05141d151c1f1d201c040f10091b020a0e1a 605.4 μs 467.7 μs 1.29
marlowe-semantics/119fbea4164e2bf21d2b53aa6c2c4e79414fe55e4096f5ce2e804735a7fbaf91 982.5 μs 760.6 μs 1.29
marlowe-semantics/12910f24d994d451ff379b12c9d1ecdb9239c9b87e5d7bea570087ec506935d5 626.6 μs 486.2 μs 1.29
marlowe-semantics/18cefc240debc0fcab14efdd451adfd02793093efe7bc76d6322aed6ddb582ad 958.6 μs 743.2 μs 1.29
marlowe-semantics/1a2f2540121f09321216090b2b1f211e3f020c2c133a1a3c3f3c232a26153a04 387.8 μs 303.8 μs 1.28
marlowe-semantics/1a573aed5c46d637919ccb5548dfc22a55c9fc38298d567d15ee9f2eea69d89e 1127 μs 875.3 μs 1.29
marlowe-semantics/1d56060c3b271226064c672a282663643b1b0823471c67737f0b076870331260 1004.9999999999999 μs 933.6 μs 1.08
marlowe-semantics/1f0f02191604101e1f201016171604060d010d1d1c150e110a110e1006160a0d 1296 μs 939.3 μs 1.38
marlowe-semantics/202d273721330b31193405101e0637202e2a0f1140211c3e3f171e26312b0220 7686 μs 5680 μs 1.35
marlowe-semantics/21953bf8798b28df60cb459db24843fb46782b19ba72dc4951941fb4c20d2263 458.8 μs 325.6 μs 1.41
marlowe-semantics/238b21364ab5bdae3ddb514d7001c8feba128b4ddcf426852b441f9a9d02c882 350 μs 277.6 μs 1.26
marlowe-semantics/26e24ee631a6d927ea4fb4fac530cfd82ff7636986014de2d2aaa460ddde0bc3 579.5 μs 508.8 μs 1.14
marlowe-semantics/2797d7ac77c1b6aff8e42cf9a47fa86b1e60f22719a996871ad412cbe4de78b5 2356 μs 1723 μs 1.37
marlowe-semantics/28fdce478e179db0e38fb5f3f4105e940ece450b9ce8a0f42a6e313b752e6f2c 1216 μs 866.5 μs 1.40
marlowe-semantics/2cb21612178a2d9336b59d06cbf80488577463d209a453048a66c6eee624a695 1002 μs 709.5 μs 1.41
marlowe-semantics/2f58c9d884813042bce9cf7c66048767dff166785e8b5183c8139db2aa7312d1 963.8 μs 686.5 μs 1.40
marlowe-semantics/30aa34dfbe89e0c43f569929a96c0d2b74c321d13fec0375606325eee9a34a6a 1440 μs 1018.9999999999999 μs 1.41
marlowe-semantics/322acde099bc34a929182d5b894214fc87ec88446e2d10625119a9d17fa3ec3d 389.2 μs 275.9 μs 1.41
marlowe-semantics/331e4a1bb30f28d7073c54f9a13c10ae19e2e396c299a0ce101ee6bf4b2020db 456.8 μs 419.1 μs 1.09
marlowe-semantics/33c3efd79d9234a78262b52bc6bbf8124cb321a467dedb278328215167eca455 615.2 μs 561.6 μs 1.10
marlowe-semantics/383683bfcecdab0f4df507f59631c702bd11a81ca3841f47f37633e8aacbb5de 750.8 μs 688.9 μs 1.09
marlowe-semantics/3bb75b2e53eb13f718eacd3263ab4535f9137fabffc9de499a0de7cabb335479 302.1 μs 276.5 μs 1.09
marlowe-semantics/3db496e6cd39a8b888a89d0de07dace4397878958cab3b9d9353978b08c36d8a 841.6 μs 761.4 μs 1.11
marlowe-semantics/44a9e339fa25948b48637fe7e10dcfc6d1256319a7b5ce4202cb54dfef8e37e7 302.2 μs 278 μs 1.09
marlowe-semantics/4c3efd13b6c69112a8a888372d56c86e60c232125976f29b1c3e21d9f537845c 996.2 μs 910.6 μs 1.09

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

CC: @IntersectMBO/plutus-core

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