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Fix all dependabot alerts in doc/docusaurus/yarn.lock (#6629)
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@zeme-wana
zeme-wana authored Nov 4, 2024
1 parent d270077 commit 0d962de
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17 changes: 10 additions & 7 deletions doc/docusaurus/package.json
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Expand Up @@ -15,23 +15,26 @@
"typecheck": "tsc"
},
"dependencies": {
"http-proxy-middleware": "^2.0.7",
"mermaid": "^10.9.3",
"cookie": "^0.7.0",
"path-to-regexp": "^1.9.0",
"@cmfcmf/docusaurus-search-local": "^1.1.0",
"@docusaurus/core": "3.3.0",
"@docusaurus/plugin-google-gtag": "3.3.0",
"@docusaurus/preset-classic": "3.3.0",
"@docusaurus/theme-mermaid": "3.3.0",
"@mdx-js/react": "^3.0.0",
"body-parser": "1.20.3",
"body-parser": "^1.20.3",
"clsx": "^2.0.0",
"express": "4.20.0",
"micromatch": "4.0.8",
"path-to-regexp": "3.3.0",
"express": "^4.20.0",
"micromatch": "^4.0.8",
"prism-react-renderer": "^2.3.0",
"react": "^18.0.0",
"react-dom": "^18.0.0",
"send": "0.19.0",
"serve-static": "1.16.0",
"webpack": "5.94.0"
"send": "^0.19.0",
"serve-static": "^1.16.0",
"webpack": "^5.94.0"
},
"devDependencies": {
"@docusaurus/module-type-aliases": "3.2.1",
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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: 0d962de Previous: d270077 Ratio
validation-auction_1-2 900.8 μs 797.8 μs 1.13
validation-crowdfunding-success-3 228.7 μs 210.4 μs 1.09
validation-currency-1 355.6 μs 250.9 μs 1.42
validation-escrow-redeem_1-1 488.4 μs 350.9 μs 1.39
validation-escrow-redeem_2-1 543.1 μs 410.7 μs 1.32
validation-escrow-redeem_2-3 584.4 μs 411.7 μs 1.42
validation-escrow-refund-1 224.5 μs 158.6 μs 1.42
validation-future-increase-margin-1 356.5 μs 311.1 μs 1.15
validation-future-increase-margin-5 1153 μs 926.1 μs 1.25
validation-future-pay-out-1 356.9 μs 250.8 μs 1.42
validation-future-pay-out-2 767.9 μs 545.3 μs 1.41
validation-game-sm-success_2-2 288.2 μs 203.7 μs 1.41
validation-game-sm-success_2-3 907.1 μs 679.7 μs 1.33
validation-game-sm-success_2-4 335.3 μs 288.6 μs 1.16
validation-multisig-sm-7 546.2 μs 396.2 μs 1.38
validation-multisig-sm-8 537.4 μs 389 μs 1.38
validation-decode-auction_1-3 709.4 μs 531.1 μs 1.34
validation-decode-auction_2-1 258 μs 197.5 μs 1.31
validation-decode-auction_2-2 594.2 μs 543.6 μs 1.09
validation-decode-auction_2-3 747.7 μs 543.6 μs 1.38
validation-decode-auction_2-4 764.3 μs 544.7 μs 1.40
validation-decode-auction_2-5 275.3 μs 193.8 μs 1.42
validation-decode-crowdfunding-success-1 330.4 μs 236.4 μs 1.40
validation-decode-crowdfunding-success-2 335.8 μs 236.9 μs 1.42
validation-decode-crowdfunding-success-3 333.9 μs 236.8 μs 1.41
validation-decode-currency-1 325.2 μs 239.8 μs 1.36
validation-decode-escrow-redeem_1-1 422.9 μs 317.9 μs 1.33
validation-decode-future-pay-out-2 450.1 μs 318.9 μs 1.41
validation-decode-future-pay-out-3 444.8 μs 319.3 μs 1.39
validation-decode-future-pay-out-4 980.9 μs 692 μs 1.42
validation-decode-future-settle-early-1 339.1 μs 239.8 μs 1.41
validation-decode-future-settle-early-2 445.8 μs 319 μs 1.40
validation-decode-future-settle-early-3 450.1 μs 319.8 μs 1.41
validation-decode-future-settle-early-4 968.6 μs 691.7 μs 1.40
validation-decode-game-sm-success_1-1 736.9 μs 529.9 μs 1.39
validation-decode-game-sm-success_1-2 233 μs 164.6 μs 1.42
validation-decode-game-sm-success_1-3 750.7 μs 647.7 μs 1.16
validation-decode-game-sm-success_2-3 749.8 μs 667.5 μs 1.12
validation-decode-game-sm-success_2-4 232.4 μs 187.5 μs 1.24
validation-decode-multisig-sm-3 831.8 μs 578.7 μs 1.44
validation-decode-multisig-sm-4 818.1 μs 593.9 μs 1.38
validation-decode-multisig-sm-6 830.6 μs 630.6 μs 1.32
validation-decode-multisig-sm-7 821 μs 589.2 μs 1.39
validation-decode-multisig-sm-8 832.6 μs 590.5 μs 1.41
validation-decode-multisig-sm-9 818.6 μs 587.7 μs 1.39
validation-decode-multisig-sm-10 807.9 μs 583.3 μs 1.39
validation-decode-ping-pong-1 693.2 μs 480.5 μs 1.44
validation-decode-ping-pong-2 690.6 μs 497 μs 1.39
validation-decode-ping-pong_2-1 697.4 μs 495.9 μs 1.41
validation-decode-prism-1 228.3 μs 161.7 μs 1.41
validation-decode-prism-2 748.3 μs 530.1 μs 1.41
nofib-clausify/formula2 5850 μs 4116 μs 1.42
nofib-clausify/formula3 16010.000000000002 μs 11710 μs 1.37
marlowe-semantics/4d7adf91bfc93cebe95a7e054ec17cfbb912b32bd8aecb48a228b50e02b055c8 898.4 μs 684 μs 1.31
marlowe-semantics/4f9e8d361b85e62db2350dd3ae77463540e7af0d28e1eb68faeecc45f4655f57 555.8 μs 395.1 μs 1.41
marlowe-semantics/52df7c8dfaa5f801cd837faa65f2fd333665fff00a555ce8c55e36ddc003007a 497.6 μs 351.1 μs 1.42
marlowe-semantics/53ed4db7ab33d6f907eec91a861d1188269be5ae1892d07ee71161bfb55a7cb7 506 μs 356.9 μs 1.42
marlowe-semantics/55dfe42688ad683b638df1fa7700219f00f53b335a85a2825502ab1e0687197e 419.8 μs 297.7 μs 1.41
marlowe-semantics/56333d4e413dbf1a665463bf68067f63c118f38f7539b7ba7167d577c0c8b8ce 1083 μs 767.1 μs 1.41
marlowe-semantics/57728d8b19b0e06412786f3dfed9e1894cd0ad1d2bc2bd497ec0ecb68f989d2b 420.3 μs 297.6 μs 1.41
marlowe-semantics/5abae75af26f45658beccbe48f7c88e74efdfc0b8409ba1e98f95fa5b6caf999 672.7 μs 477.4 μs 1.41
marlowe-semantics/5d0a88250f13c49c20e146819357a808911c878a0e0a7d6f7fe1d4a619e06112 1433 μs 1014 μs 1.41
marlowe-semantics/5e274e0f593511543d41570a4b03646c1d7539062b5728182e073e5760561a66 1408 μs 994.4 μs 1.42
marlowe-semantics/5e2c68ac9f62580d626636679679b97109109df7ac1a8ce86d3e43dfb5e4f6bc 596.1 μs 512.6 μs 1.16
marlowe-semantics/cf542b7df466b228ca2197c2aaa89238a8122f3330fe5b77b3222f570395d9f5 674.6 μs 476.9 μs 1.41
marlowe-semantics/d1ab832dfab25688f8845bec9387e46ee3f00ba5822197ade7dd540489ec5e95 48330 μs 36480 μs 1.32
marlowe-semantics/d1c03759810747b7cab38c4296593b38567e11195d161b5bb0a2b58f89b2c65a 1419 μs 999.4 μs 1.42
marlowe-semantics/d64607eb8a1448595081547ea8780886fcbd9e06036460eea3705c88ea867e33 420.7 μs 309.5 μs 1.36
marlowe-semantics/dc241ac6ad1e04fb056d555d6a4f2d08a45d054c6f7f34355fcfeefebef479f3 646.5 μs 573.4 μs 1.13
marlowe-semantics/dd11ae574eaeab0e9925319768989313a93913fdc347c704ddaa27042757d990 1052 μs 740 μs 1.42
marlowe-semantics/e26c1cddba16e05fd10c34cbdb16ea6acdbac7c8323256c31c90c520ee6a1080 514.8 μs 364.8 μs 1.41
marlowe-semantics/e34b48f80d49360e88c612f4016f7d68cb5678dd8cd5ddb981375a028b3a40a5 538.6 μs 380.8 μs 1.41
marlowe-semantics/e3afd22d01ff12f381cf915fd32358634e6c413f979f2492cf3339319d8cc079 419.6 μs 297.6 μs 1.41
marlowe-semantics/e9234d2671760874f3f660aae5d3416d18ce6dfd7af4231bdd41b9ec268bc7e1 1326 μs 944.7 μs 1.40
marlowe-semantics/eb4a605ed3a64961e9e66ad9631c2813dadf7131740212762ae4483ec749fe1d 421 μs 297.9 μs 1.41
marlowe-semantics/ecb5e8308b57724e0f8533921693f111eba942123cf8660aac2b5bac21ec28f0 917.7 μs 649.9 μs 1.41
marlowe-semantics/f2a8fd2014922f0d8e01541205d47e9bb2d4e54333bdd408cbe7c47c55e73ae4 1022 μs 725 μs 1.41
marlowe-semantics/f339f59bdf92495ed2b14e2e4d3705972b4dda59aa929cffe0f1ff5355db8d79 6316 μs 4579 μs 1.38
marlowe-semantics/ffdd68a33afd86f8844c9f5e45b2bda5b035aa02274161b23d57709c0f8b8de6 1324 μs 940.6 μs 1.41
marlowe-role-payout/0004000402010401030101030100040000010104020201030001000204020401 260.4 μs 184 μs 1.42
marlowe-role-payout/0100000100010000000001000100010101000101000001000000010000010000 355.7 μs 250.6 μs 1.42
marlowe-role-payout/0101000100000101010000010101000100010101000001000001000000010101 269.1 μs 189.8 μs 1.42
marlowe-role-payout/01dcc372ea619cb9f23c45b17b9a0a8a16b7ca0e04093ef8ecce291667a99a4c 225.3 μs 159.2 μs 1.42
marlowe-role-payout/0201020201020000020000010201020001020200000002010200000101010100 255.6 μs 180.7 μs 1.41
marlowe-role-payout/0202010002010100020102020102020001010101020102010001010101000100 239.3 μs 169.2 μs 1.41
marlowe-role-payout/0303020000020001010201060303040208070100050401080304020801030001 239.5 μs 169.7 μs 1.41
marlowe-role-payout/031d56d71454e2c4216ffaa275c4a8b3eb631109559d0e56f44ea8489f57ba97 283.7 μs 200.4 μs 1.42
marlowe-role-payout/03d730a62332c51c7b70c16c64da72dd1c3ea36c26b41cd1a1e00d39fda3d6cc 266.7 μs 189.1 μs 1.41
marlowe-role-payout/0403020000030204010000030001000202010101000304030001040404030100 247.9 μs 175 μs 1.42
marlowe-role-payout/0405010105020401010304080005050800040301010800080207080704020206 272.7 μs 193.3 μs 1.41
marlowe-role-payout/041a2c3b111139201a3a2c173c392b170e16370d300f2d28342d0f2f0e182e01 272.3 μs 192.7 μs 1.41
marlowe-role-payout/04f592afc6e57c633b9c55246e7c82e87258f04e2fb910c37d8e2417e9db46e5 317.1 μs 223.9 μs 1.42
marlowe-role-payout/057ebc80922f16a5f4bf13e985bf586b8cff37a2f6fe0f3ce842178c16981027 234.1 μs 166.5 μs 1.41
marlowe-role-payout/06317060a8e488b1219c9dae427f9ce27918a9e09ee8ac424afa33ca923f7954 247 μs 181.6 μs 1.36
marlowe-role-payout/0d0f01050a0a0a0b0b050d0404090e0d0506000d0a041003040e0f100e0a0408 241.8 μs 229.6 μs 1.05
marlowe-role-payout/0dbb692d2bf22d25eeceac461cfebf616f54003077a8473abc0457f18e025960 274.7 μs 199.2 μs 1.38
marlowe-role-payout/4299c7fcf093a5dbfe114c188e32ca199b571a7c25cb7f766bf49f12dab308be 260.5 μs 183 μs 1.42
marlowe-role-payout/452e17d16222a427707fa83f63ffb79f606cc25c755a18b1e3274c964ed5ec99 281.9 μs 198.5 μs 1.42
marlowe-role-payout/46f8d00030436e4da490a86b331fa6c3251425fb8c19556080e124d75bad7bd6 237.8 μs 168 μs 1.42
marlowe-role-payout/47364cfaf2c00f7d633283dce6cf84e4fd4e8228c0a0aa50e7c55f35c3ecaa1c 238.6 μs 168.1 μs 1.42
marlowe-role-payout/49b8275d0cb817be40865694ab05e3cfe5fc35fb43b78e7de68c1f3519b536bd 244.8 μs 172.6 μs 1.42
marlowe-role-payout/4dd7755b6ca1f0c9747c1fc0ee4da799f6f1c07108e980bd9f820911ad711ff2 306.2 μs 215.7 μs 1.42
marlowe-role-payout/4fbcfdb577a56b842d6f6938187a783f71d9da7519353e3da3ef0c564e1eb344 283.7 μs 201.1 μs 1.41
marlowe-role-payout/5a0725d49c733130eda8bc6ed5234f7f6ff8c9dd2d201e8806125e5fbcc081f9 248.8 μs 175.7 μs 1.42
marlowe-role-payout/5a2aae344e569a2c644dd9fa8c7b1f129850937eb562b7748c275f9e40bed596 238.8 μs 168.2 μs 1.42
marlowe-role-payout/5ade103e9530dd0d572fe1b053ea65ad925c6ebbe321e873ace8b804363fa82c 321.4 μs 227.1 μs 1.42
marlowe-role-payout/5d4c62a0671c65a14f6a15093e3efc4f1816d95a5a58fd92486bedaae8d9526b 272.6 μs 193.4 μs 1.41
marlowe-role-payout/5efe992e306e31cc857c64a62436ad2f9325acc5b4a74a8cebccdfd853ce63d2 247.3 μs 174.5 μs 1.42
marlowe-role-payout/622a7f3bc611b5149253c9189da022a9ff296f60a5b7c172a6dc286faa7284fa 282.7 μs 231.5 μs 1.22
marlowe-role-payout/73f044f34a30f26639c58bafe952047f74c7bf1eafebab5aadf5b73cfb9024ed 239 μs 168.4 μs 1.42
marlowe-role-payout/7b1dd76edc27f00eb382bf996378155baf74d6a7c6f3d5ec837c39d29784aade 236.4 μs 166.5 μs 1.42
marlowe-role-payout/803eae94d62e2afc0e835c204af8362170301bc329e2d849d5f5a47dddf479ec 265.1 μs 186.6 μs 1.42
marlowe-role-payout/87167fc5469adac97c1be749326fa79a6b7862ce68aa4abcb438e3c034bd0899 278 μs 195.1 μs 1.42
marlowe-role-payout/8c0fa5d9d6724c5c72c67e055d4bfc36a385ded7c3c81c08cdbd8705829af6e6 276.6 μs 194.4 μs 1.42
marlowe-role-payout/962c2c658b19904372984a56409707401e64e9b03c1986647134cfd329ec5139 257.3 μs 181.3 μs 1.42
marlowe-role-payout/996804e90f2c75fe68886fc8511304b8ab9b36785f8858f5cb098e91c159dde9 243.6 μs 171.8 μs 1.42
marlowe-role-payout/a004a989c005d59043f996500e110fa756ad1b85800b889d5815a0106388e1d7 248.6 μs 175.1 μs 1.42
marlowe-role-payout/a0fba5740174b5cd24036c8b008cb1efde73f1edae097b9325c6117a0ff40d3b 262.9 μs 185.9 μs 1.41
marlowe-role-payout/a1b25347409c3993feca1a60b6fcaf93d1d4bbaae19ab06fdf50cedc26cee68d 227 μs 160.4 μs 1.42
marlowe-role-payout/a27524cfad019df45e4e8316f927346d4cc39da6bdd294fb2c33c3f58e6a8994 238.3 μs 168.2 μs 1.42
marlowe-role-payout/a6664a2d2a82f370a34a36a45234f6b33120a39372331678a3b3690312560ce9 286.4 μs 202.4 μs 1.42
marlowe-role-payout/a6f064b83b31032ea7f25921364727224707268e472a569f584cc6b1d8c017e8 236.2 μs 166.6 μs 1.42
marlowe-role-payout/a7cb09f417c3f089619fe25b7624392026382b458486129efcff18f8912bf302 238.5 μs 168.5 μs 1.42
marlowe-role-payout/a92b4072cb8601fa697e1150c08463b14ffced54eb963df08d322216e27373cb 236.6 μs 166.4 μs 1.42
marlowe-role-payout/af2e072b5adfaa7211e0b341e1f7319c4f4e7364a4247c9247132a927e914753 278.4 μs 211.3 μs 1.32

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

CC: @IntersectMBO/plutus-core

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