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Merge top-level and docusaurus flakes (#6497)
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@zeme-wana
zeme-wana authored Sep 19, 2024
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2 changes: 1 addition & 1 deletion doc/docusaurus/README.md
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Expand Up @@ -6,7 +6,7 @@ This website is built using [Docusaurus](https://docusaurus.io/), a modern stati

Follow the [nix setup guide](https://github.com/input-output-hk/iogx/blob/main/doc/nix-setup-guide.md) (this is recommended) or alternatively use your local `yarn` installation.

If using nix and while inside this directory, run `nix develop` to enter the shell.
Run `nix develop` to enter the shell.

Now you can use `yarn` for development:
```bash
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Expand Up @@ -48,6 +48,7 @@ in
pkgs.scriv
pkgs.fswatch
pkgs.linkchecker
pkgs.yarn

# Needed to make building things work, not for commands
pkgs.zlib
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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: 7178ee7 Previous: 280f81d Ratio
validation-auction_2-1 252.3 μs 217.7 μs 1.16
validation-auction_2-2 894.7 μs 619.1 μs 1.45
validation-auction_2-3 1166 μs 811.3 μs 1.44
validation-auction_2-4 884.6 μs 613.3 μs 1.44
validation-auction_2-5 321.1 μs 245 μs 1.31
validation-future-increase-margin-4 680.9 μs 476 μs 1.43
validation-future-increase-margin-5 1137 μs 796.2 μs 1.43
validation-future-pay-out-1 345.3 μs 241.8 μs 1.43
validation-future-pay-out-2 754.4 μs 529.1 μs 1.43
validation-future-pay-out-3 752 μs 528.2 μs 1.42
validation-future-pay-out-4 1136 μs 855.6 μs 1.33
validation-future-settle-early-1 345.3 μs 281.5 μs 1.23
validation-future-settle-early-2 753.7 μs 559 μs 1.35
validation-game-sm-success_2-2 277.5 μs 250.6 μs 1.11
validation-game-sm-success_2-3 894.8 μs 631 μs 1.42
validation-game-sm-success_2-4 314.6 μs 221.5 μs 1.42
validation-game-sm-success_2-5 893.6 μs 631.3 μs 1.42
validation-game-sm-success_2-6 315.2 μs 221.4 μs 1.42
validation-multisig-sm-1 555.2 μs 392 μs 1.42
validation-prism-3 511.3 μs 441.2 μs 1.16
validation-pubkey-1 197.4 μs 138.8 μs 1.42
validation-stablecoin_1-1 1265 μs 891.7 μs 1.42
validation-stablecoin_1-2 271.6 μs 190.8 μs 1.42
validation-stablecoin_1-3 1451 μs 1020.9999999999999 μs 1.42
validation-stablecoin_1-4 286.1 μs 201.2 μs 1.42
validation-uniswap-1 564.2 μs 403.2 μs 1.40
validation-uniswap-2 242.3 μs 216.7 μs 1.12
validation-uniswap-3 2450 μs 1725 μs 1.42
validation-uniswap-4 464.4 μs 326.9 μs 1.42
validation-decode-auction_1-2 740 μs 599 μs 1.24
validation-decode-auction_1-3 742.4 μs 532.7 μs 1.39
validation-decode-auction_1-4 269.2 μs 193.8 μs 1.39
validation-decode-auction_2-1 269.5 μs 194.2 μs 1.39
validation-decode-auction_2-2 741.1 μs 540.5 μs 1.37
validation-decode-auction_2-3 741 μs 534.1 μs 1.39
validation-decode-auction_2-4 741.2 μs 534.1 μs 1.39
validation-decode-auction_2-5 270.7 μs 192.5 μs 1.41
validation-decode-crowdfunding-success-1 329.6 μs 305 μs 1.08
validation-decode-escrow-redeem_1-1 416.4 μs 318.5 μs 1.31
validation-decode-escrow-redeem_1-2 443.5 μs 401.6 μs 1.10
validation-decode-escrow-redeem_2-3 441.9 μs 318 μs 1.39
validation-decode-escrow-refund-1 444.8 μs 317.8 μs 1.40
validation-decode-future-increase-margin-2 447.9 μs 319.2 μs 1.40
validation-decode-future-increase-margin-3 442 μs 318.3 μs 1.39
validation-decode-future-increase-margin-4 948.2 μs 729.7 μs 1.30
validation-decode-prism-3 326.8 μs 235 μs 1.39
validation-decode-stablecoin_1-1 1181 μs 962 μs 1.23
validation-decode-stablecoin_1-2 228.5 μs 166 μs 1.38
validation-decode-stablecoin_1-3 1189 μs 855.4 μs 1.39
validation-decode-stablecoin_1-4 227.9 μs 165.4 μs 1.38
validation-decode-stablecoin_1-5 1183 μs 889.2 μs 1.33
validation-decode-uniswap-1 327.1 μs 278.8 μs 1.17
validation-decode-uniswap-2 326.7 μs 234.8 μs 1.39
validation-decode-uniswap-3 1008.9999999999999 μs 773 μs 1.31
nofib-clausify/formula1 3808 μs 3426 μs 1.11
nofib-clausify/formula3 15990 μs 14110 μs 1.13
nofib-queens5x5/bt 102400 μs 89800 μs 1.14
marlowe-semantics/004025fd712d6c325ffa12c16d157064192992faf62e0b991d7310a2f91666b8 1147 μs 809.4 μs 1.42
marlowe-semantics/0101010001010101010101000100010100000001010000010001000001000101 1274 μs 911.9 μs 1.40
marlowe-semantics/0101020201010201010200010102000201000201010102000102010201010000 427.8 μs 302 μs 1.42
marlowe-semantics/0101080808040600020306010000000302050807010208060100070207080202 1086 μs 767.8 μs 1.41
marlowe-semantics/0104010200020000040103020102020004040300030304040400010301040303 1103 μs 781.5 μs 1.41
marlowe-semantics/04000f0b04051006000e060f09080d0b090d0104050a0b0f0506070f0a070008 1053 μs 745.3 μs 1.41
marlowe-semantics/0543a00ba1f63076c1db6bf94c6ff13ae7d266dd7544678743890b0e8e1add63 1473 μs 1047 μs 1.41
marlowe-semantics/0705030002040601010206030604080208020207000101060706050502040301 1427 μs 1014 μs 1.41
marlowe-semantics/07070c070510030509010e050d00040907050e0a0d06030f1006030701020607 1450 μs 1025 μs 1.41
marlowe-semantics/0bcfd9487614104ec48de2ea0b2c0979866a95115748c026f9ec129384c262c4 1604 μs 1135 μs 1.41
marlowe-semantics/0be82588e4e4bf2ef428d2f44b7687bbb703031d8de696d90ec789e70d6bc1d8 1935 μs 1363 μs 1.42
marlowe-semantics/0f1d0110001b121d051e15140c0c05141d151c1f1d201c040f10091b020a0e1a 669 μs 472.7 μs 1.42
marlowe-semantics/119fbea4164e2bf21d2b53aa6c2c4e79414fe55e4096f5ce2e804735a7fbaf91 1078 μs 765.4 μs 1.41
marlowe-semantics/12910f24d994d451ff379b12c9d1ecdb9239c9b87e5d7bea570087ec506935d5 705.4 μs 499.5 μs 1.41
marlowe-semantics/18cefc240debc0fcab14efdd451adfd02793093efe7bc76d6322aed6ddb582ad 1066 μs 755.1 μs 1.41
marlowe-semantics/1a2f2540121f09321216090b2b1f211e3f020c2c133a1a3c3f3c232a26153a04 433.5 μs 307.5 μs 1.41
marlowe-semantics/1a573aed5c46d637919ccb5548dfc22a55c9fc38298d567d15ee9f2eea69d89e 1207 μs 899.2 μs 1.34
marlowe-semantics/1d6e3c137149a440f35e0efc685b16bfb8052ebcf66ec4ad77e51c11501381c7 356.9 μs 307.6 μs 1.16
marlowe-semantics/202d273721330b31193405101e0637202e2a0f1140211c3e3f171e26312b0220 7921 μs 5812 μs 1.36
marlowe-semantics/21953bf8798b28df60cb459db24843fb46782b19ba72dc4951941fb4c20d2263 504.3 μs 357.5 μs 1.41
marlowe-semantics/238b21364ab5bdae3ddb514d7001c8feba128b4ddcf426852b441f9a9d02c882 426.8 μs 301.1 μs 1.42
marlowe-semantics/26e24ee631a6d927ea4fb4fac530cfd82ff7636986014de2d2aaa460ddde0bc3 804.2 μs 569.4 μs 1.41
marlowe-semantics/2797d7ac77c1b6aff8e42cf9a47fa86b1e60f22719a996871ad412cbe4de78b5 2456 μs 1779 μs 1.38
marlowe-semantics/28fdce478e179db0e38fb5f3f4105e940ece450b9ce8a0f42a6e313b752e6f2c 1310 μs 929.9 μs 1.41
marlowe-semantics/2cb21612178a2d9336b59d06cbf80488577463d209a453048a66c6eee624a695 1119 μs 791.6 μs 1.41
marlowe-semantics/2f58c9d884813042bce9cf7c66048767dff166785e8b5183c8139db2aa7312d1 1082 μs 766.1 μs 1.41
marlowe-semantics/30aa34dfbe89e0c43f569929a96c0d2b74c321d13fec0375606325eee9a34a6a 1636 μs 1158 μs 1.41
marlowe-semantics/322acde099bc34a929182d5b894214fc87ec88446e2d10625119a9d17fa3ec3d 434.8 μs 307.9 μs 1.41
marlowe-semantics/331e4a1bb30f28d7073c54f9a13c10ae19e2e396c299a0ce101ee6bf4b2020db 661.9 μs 467.1 μs 1.42
marlowe-semantics/33c3efd79d9234a78262b52bc6bbf8124cb321a467dedb278328215167eca455 888.1 μs 629 μs 1.41
marlowe-semantics/383683bfcecdab0f4df507f59631c702bd11a81ca3841f47f37633e8aacbb5de 1081 μs 762.7 μs 1.42
marlowe-semantics/96e1a2fa3ceb9a402f2a5841a0b645f87b4e8e75beb636692478ec39f74ee221 435 μs 309.5 μs 1.41
marlowe-semantics/dc241ac6ad1e04fb056d555d6a4f2d08a45d054c6f7f34355fcfeefebef479f3 663.2 μs 559.6 μs 1.19
marlowe-semantics/e9234d2671760874f3f660aae5d3416d18ce6dfd7af4231bdd41b9ec268bc7e1 1321 μs 1091 μs 1.21
marlowe-semantics/eb4a605ed3a64961e9e66ad9631c2813dadf7131740212762ae4483ec749fe1d 426.7 μs 303.8 μs 1.40
marlowe-semantics/ecb5e8308b57724e0f8533921693f111eba942123cf8660aac2b5bac21ec28f0 937.8 μs 663.8 μs 1.41
marlowe-semantics/f2a8fd2014922f0d8e01541205d47e9bb2d4e54333bdd408cbe7c47c55e73ae4 1056 μs 748.3 μs 1.41
marlowe-semantics/f339f59bdf92495ed2b14e2e4d3705972b4dda59aa929cffe0f1ff5355db8d79 6177 μs 4501 μs 1.37
marlowe-semantics/ffdd68a33afd86f8844c9f5e45b2bda5b035aa02274161b23d57709c0f8b8de6 1332 μs 947.1 μs 1.41
marlowe-role-payout/0004000402010401030101030100040000010104020201030001000204020401 261.5 μs 185.3 μs 1.41
marlowe-role-payout/0100000100010000000001000100010101000101000001000000010000010000 367.2 μs 260.4 μs 1.41
marlowe-role-payout/0101000100000101010000010101000100010101000001000001000000010101 282.2 μs 200.6 μs 1.41
marlowe-role-payout/01dcc372ea619cb9f23c45b17b9a0a8a16b7ca0e04093ef8ecce291667a99a4c 232.6 μs 165 μs 1.41
marlowe-role-payout/0201020201020000020000010201020001020200000002010200000101010100 260.6 μs 184.8 μs 1.41
marlowe-role-payout/0202010002010100020102020102020001010101020102010001010101000100 242.9 μs 172.8 μs 1.41
marlowe-role-payout/0303020000020001010201060303040208070100050401080304020801030001 243 μs 172 μs 1.41
marlowe-role-payout/031d56d71454e2c4216ffaa275c4a8b3eb631109559d0e56f44ea8489f57ba97 291.8 μs 207.4 μs 1.41
marlowe-role-payout/03d730a62332c51c7b70c16c64da72dd1c3ea36c26b41cd1a1e00d39fda3d6cc 276.5 μs 196 μs 1.41
marlowe-role-payout/0403020000030204010000030001000202010101000304030001040404030100 256.7 μs 182.5 μs 1.41
marlowe-role-payout/0405010105020401010304080005050800040301010800080207080704020206 279.3 μs 198 μs 1.41
marlowe-role-payout/041a2c3b111139201a3a2c173c392b170e16370d300f2d28342d0f2f0e182e01 282.6 μs 199.9 μs 1.41
marlowe-role-payout/04f592afc6e57c633b9c55246e7c82e87258f04e2fb910c37d8e2417e9db46e5 332.1 μs 235.3 μs 1.41
marlowe-role-payout/057ebc80922f16a5f4bf13e985bf586b8cff37a2f6fe0f3ce842178c16981027 236.2 μs 168.1 μs 1.41
marlowe-role-payout/06317060a8e488b1219c9dae427f9ce27918a9e09ee8ac424afa33ca923f7954 253.5 μs 179.9 μs 1.41
marlowe-role-payout/07658a6c898ad6d624c37df1e49e909c2e9349ba7f4c0a6be5f166fe239bfcae 229.8 μs 218.7 μs 1.05
marlowe-role-payout/0dbb692d2bf22d25eeceac461cfebf616f54003077a8473abc0457f18e025960 287.2 μs 202.8 μs 1.42
marlowe-role-payout/0e00171d0f1e1f14070d0a00091f07101808021d081e1b120219081312081e15 242.7 μs 172.3 μs 1.41
marlowe-role-payout/0e72f62b0f922e31a2340baccc768104025400cf7fdd7dae62fbba5fc770936d 269.4 μs 191.2 μs 1.41
marlowe-role-payout/0e97c9d9417354d9460f2eb35018d3904b7b035af16ab299258adab93be0911a 261 μs 185.1 μs 1.41
marlowe-role-payout/0f010d040810040b10020e040f0e030b0a0d100f0c080c0c05000d04100c100f 275.3 μs 195.3 μs 1.41
marlowe-role-payout/1138a04a83edc0579053f9ffa9394b41df38230121fbecebee8c039776a88c0c 241.8 μs 171.5 μs 1.41
marlowe-role-payout/121a0a1b12030616111f02121a0e070716090a0e031c071419121f141409031d 234.1 μs 165.7 μs 1.41
marlowe-role-payout/21a1426fb3fb3019d5dc93f210152e90b0a6e740ef509b1cdd423395f010e0ca 265.3 μs 188.4 μs 1.41
marlowe-role-payout/224ce46046fab9a17be4197622825f45cc0c59a6bd1604405148e43768c487ef 241.8 μs 172.1 μs 1.40
marlowe-role-payout/332c2b1c11383d1b373e1315201f1128010e0e1518332f273f141b23243f2a07 231.2 μs 164.5 μs 1.41
marlowe-role-payout/3565ee025317e065e8555eef288080276716366769aad89e03389f5ec4ce26d7 256.3 μs 182.2 μs 1.41
marlowe-role-payout/3569299fc986f5354d02e627a9eaa48ab46d5af52722307a0af72bae87e256dc 236.9 μs 168.1 μs 1.41
marlowe-role-payout/36866914aa07cf62ef36cf2cd64c7f240e3371e27bb9fff5464301678e809c40 236.9 μs 168.2 μs 1.41
marlowe-role-payout/371c10d2526fc0f09dbe9ed59e44dcd949270b27dc42035addd7ff9f7e0d05e7 283.3 μs 201 μs 1.41
marlowe-role-payout/3897ef714bba3e6821495b706c75f8d64264c3fdaa58a3826c808b5a768c303d 244.8 μs 175.2 μs 1.40
marlowe-role-payout/4121d88f14387d33ac5e1329618068e3848445cdd66b29e5ba382be2e02a174a 284 μs 201 μs 1.41
marlowe-role-payout/4299c7fcf093a5dbfe114c188e32ca199b571a7c25cb7f766bf49f12dab308be 261.4 μs 185.9 μs 1.41
marlowe-role-payout/452e17d16222a427707fa83f63ffb79f606cc25c755a18b1e3274c964ed5ec99 291.2 μs 207.1 μs 1.41
marlowe-role-payout/47364cfaf2c00f7d633283dce6cf84e4fd4e8228c0a0aa50e7c55f35c3ecaa1c 239 μs 169.2 μs 1.41
marlowe-role-payout/49b8275d0cb817be40865694ab05e3cfe5fc35fb43b78e7de68c1f3519b536bd 246.6 μs 175.7 μs 1.40
marlowe-role-payout/4dd7755b6ca1f0c9747c1fc0ee4da799f6f1c07108e980bd9f820911ad711ff2 319.6 μs 227 μs 1.41
marlowe-role-payout/4fbcfdb577a56b842d6f6938187a783f71d9da7519353e3da3ef0c564e1eb344 295.6 μs 210.4 μs 1.40

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

CC: @IntersectMBO/plutus-core

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