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Fix a broken doc link (#6503)
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zliu41 authored Sep 19, 2024
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2 changes: 1 addition & 1 deletion doc/docusaurus/docs/essential-concepts/ledger.md
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Expand Up @@ -60,7 +60,7 @@ UTXO-based ledgers typically start out with a very simple model of "ownership" o
An output will have a public key (strictly, the hash of a public key) attached to it, and in order to spend this output, the spending transaction must be signed by the corresponding private key.
We call this a "pay-to-pubkey" output.

Cardano uses an extended model called the [Extended UTXO Model](../glossary.md#extended-utxo-model) (EUTXO).
Cardano uses an extended model called the [Extended UTXO Model](../glossary.md#extended-utxo-model-eutxo) (EUTXO).
In the EUTXO model, an output can be locked by (the hash of) a *script*.
We call this a "pay-to-script" output.
A script is a *program* that decides whether or not the transaction which spends the output is
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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: 0de81d7 Previous: 59db346 Ratio
validation-crowdfunding-success-1 270.6 μs 206.7 μs 1.31
validation-crowdfunding-success-2 276.3 μs 206.8 μs 1.34
validation-crowdfunding-success-3 219 μs 207.1 μs 1.06
validation-currency-1 345.4 μs 253.5 μs 1.36
validation-escrow-redeem_1-1 486.7 μs 343.9 μs 1.42
validation-escrow-redeem_1-2 462.5 μs 343.9 μs 1.34
validation-future-increase-margin-5 1142 μs 944.6 μs 1.21
validation-future-pay-out-4 1079 μs 804.3 μs 1.34
validation-future-settle-early-2 572.2 μs 531.4 μs 1.08
validation-prism-1 233.7 μs 163.7 μs 1.43
validation-prism-2 536 μs 485.9 μs 1.10
validation-stablecoin_1-4 286.2 μs 224.3 μs 1.28
validation-stablecoin_1-5 1865 μs 1310 μs 1.42
validation-stablecoin_1-6 355.7 μs 249.5 μs 1.43
validation-stablecoin_2-1 1266 μs 892.8 μs 1.42
validation-stablecoin_2-2 261 μs 190.4 μs 1.37
validation-token-account-2 368.9 μs 331.4 μs 1.11
validation-uniswap-1 573.3 μs 404 μs 1.42
validation-uniswap-2 308.1 μs 217.5 μs 1.42
validation-uniswap-3 2454 μs 1730 μs 1.42
validation-uniswap-4 464.2 μs 367.4 μs 1.26
validation-decode-escrow-redeem_2-2 378.3 μs 327.2 μs 1.16
validation-decode-escrow-refund-1 333.5 μs 316.8 μs 1.05
validation-decode-future-increase-margin-1 302.1 μs 232.8 μs 1.30
validation-decode-future-increase-margin-5 722.4 μs 681.5 μs 1.06
validation-decode-future-pay-out-3 455.8 μs 324.4 μs 1.41
validation-decode-game-sm-success_2-4 196.4 μs 161.6 μs 1.22
validation-decode-ping-pong-1 686.9 μs 640.8 μs 1.07
validation-decode-ping-pong-2 681.5 μs 515.9 μs 1.32
validation-decode-ping-pong_2-1 687.5 μs 484.4 μs 1.42
validation-decode-prism-1 227.8 μs 161.1 μs 1.41
validation-decode-prism-2 736.1 μs 517 μs 1.42
validation-decode-prism-3 313 μs 234.7 μs 1.33
validation-decode-stablecoin_1-5 1130 μs 863 μs 1.31
nofib-queens4x4/bm 9675 μs 8013.999999999999 μs 1.21
nofib-queens4x4/bjbt1 8411 μs 6434 μs 1.31
nofib-queens5x5/bt 102700 μs 77640 μs 1.32
nofib-queens5x5/bm 108500 μs 87980 μs 1.23
marlowe-semantics/0000020002010200020101020201000100010001020101020201010000020102 454.7 μs 320.8 μs 1.42
marlowe-semantics/0001000101000000010101000001000001010101010100000001000001010000 623.4 μs 441.5 μs 1.41
marlowe-semantics/0003040402030103010203030303000200000104030002040304020400000102 1459 μs 1028 μs 1.42
marlowe-semantics/004025fd712d6c325ffa12c16d157064192992faf62e0b991d7310a2f91666b8 1149 μs 811.1 μs 1.42
marlowe-semantics/0101010001010101010101000100010100000001010000010001000001000101 1290 μs 911.6 μs 1.42
marlowe-semantics/0101020201010201010200010102000201000201010102000102010201010000 426 μs 303.3 μs 1.40
marlowe-semantics/0101080808040600020306010000000302050807010208060100070207080202 1086 μs 769 μs 1.41
marlowe-semantics/0104010200020000040103020102020004040300030304040400010301040303 1104 μs 778.5 μs 1.42
marlowe-semantics/04000f0b04051006000e060f09080d0b090d0104050a0b0f0506070f0a070008 1052 μs 744.2 μs 1.41
marlowe-semantics/0543a00ba1f63076c1db6bf94c6ff13ae7d266dd7544678743890b0e8e1add63 1477 μs 1042 μs 1.42
marlowe-semantics/0705030002040601010206030604080208020207000101060706050502040301 1433 μs 1010.9999999999999 μs 1.42
marlowe-semantics/07070c070510030509010e050d00040907050e0a0d06030f1006030701020607 1452 μs 1024 μs 1.42
marlowe-semantics/0bcfd9487614104ec48de2ea0b2c0979866a95115748c026f9ec129384c262c4 1606 μs 1135 μs 1.41
marlowe-semantics/0be82588e4e4bf2ef428d2f44b7687bbb703031d8de696d90ec789e70d6bc1d8 1932 μs 1365 μs 1.42
marlowe-semantics/0f1d0110001b121d051e15140c0c05141d151c1f1d201c040f10091b020a0e1a 668.9 μs 472.1 μs 1.42
marlowe-semantics/119fbea4164e2bf21d2b53aa6c2c4e79414fe55e4096f5ce2e804735a7fbaf91 1080 μs 763.7 μs 1.41
marlowe-semantics/12910f24d994d451ff379b12c9d1ecdb9239c9b87e5d7bea570087ec506935d5 706.6 μs 499 μs 1.42
marlowe-semantics/18cefc240debc0fcab14efdd451adfd02793093efe7bc76d6322aed6ddb582ad 1063 μs 751.6 μs 1.41
marlowe-semantics/1a2f2540121f09321216090b2b1f211e3f020c2c133a1a3c3f3c232a26153a04 433.9 μs 307.8 μs 1.41
marlowe-semantics/1a573aed5c46d637919ccb5548dfc22a55c9fc38298d567d15ee9f2eea69d89e 1276 μs 900.2 μs 1.42
marlowe-semantics/1d56060c3b271226064c672a282663643b1b0823471c67737f0b076870331260 1104 μs 780.4 μs 1.41
marlowe-semantics/1d6e3c137149a440f35e0efc685b16bfb8052ebcf66ec4ad77e51c11501381c7 434.6 μs 307.5 μs 1.41
marlowe-semantics/1f0f02191604101e1f201016171604060d010d1d1c150e110a110e1006160a0d 1374 μs 971.7 μs 1.41
marlowe-semantics/202d273721330b31193405101e0637202e2a0f1140211c3e3f171e26312b0220 7963 μs 5820 μs 1.37
marlowe-semantics/21953bf8798b28df60cb459db24843fb46782b19ba72dc4951941fb4c20d2263 504.6 μs 357.4 μs 1.41
marlowe-semantics/238b21364ab5bdae3ddb514d7001c8feba128b4ddcf426852b441f9a9d02c882 427.1 μs 301.9 μs 1.41
marlowe-semantics/26e24ee631a6d927ea4fb4fac530cfd82ff7636986014de2d2aaa460ddde0bc3 802.6 μs 569.5 μs 1.41
marlowe-semantics/2797d7ac77c1b6aff8e42cf9a47fa86b1e60f22719a996871ad412cbe4de78b5 2489 μs 1768 μs 1.41
marlowe-semantics/28fdce478e179db0e38fb5f3f4105e940ece450b9ce8a0f42a6e313b752e6f2c 1312 μs 930.3 μs 1.41
marlowe-semantics/2cb21612178a2d9336b59d06cbf80488577463d209a453048a66c6eee624a695 1119 μs 787.6 μs 1.42
marlowe-semantics/2f58c9d884813042bce9cf7c66048767dff166785e8b5183c8139db2aa7312d1 1083 μs 761.7 μs 1.42
marlowe-semantics/30aa34dfbe89e0c43f569929a96c0d2b74c321d13fec0375606325eee9a34a6a 1635 μs 1156 μs 1.41
marlowe-semantics/331e4a1bb30f28d7073c54f9a13c10ae19e2e396c299a0ce101ee6bf4b2020db 661.4 μs 578.8 μs 1.14
marlowe-semantics/33c3efd79d9234a78262b52bc6bbf8124cb321a467dedb278328215167eca455 888.3 μs 626.1 μs 1.42
marlowe-semantics/383683bfcecdab0f4df507f59631c702bd11a81ca3841f47f37633e8aacbb5de 1079 μs 763.9 μs 1.41
marlowe-semantics/3bb75b2e53eb13f718eacd3263ab4535f9137fabffc9de499a0de7cabb335479 426.5 μs 300.9 μs 1.42
marlowe-semantics/3db496e6cd39a8b888a89d0de07dace4397878958cab3b9d9353978b08c36d8a 1182 μs 835.7 μs 1.41
marlowe-semantics/44a9e339fa25948b48637fe7e10dcfc6d1256319a7b5ce4202cb54dfef8e37e7 427.1 μs 302.4 μs 1.41
marlowe-semantics/4c3efd13b6c69112a8a888372d56c86e60c232125976f29b1c3e21d9f537845c 1393 μs 1032 μs 1.35
marlowe-semantics/4d7adf91bfc93cebe95a7e054ec17cfbb912b32bd8aecb48a228b50e02b055c8 758.9 μs 701.2 μs 1.08
marlowe-semantics/4f9e8d361b85e62db2350dd3ae77463540e7af0d28e1eb68faeecc45f4655f57 531.2 μs 400.9 μs 1.33
marlowe-semantics/c4bb185380df6e9b66fc1ee0564f09a8d1253a51a0c0c7890f2214df9ac19274 1050 μs 928.6 μs 1.13
marlowe-semantics/d64607eb8a1448595081547ea8780886fcbd9e06036460eea3705c88ea867e33 430.2 μs 364.2 μs 1.18
marlowe-semantics/dc241ac6ad1e04fb056d555d6a4f2d08a45d054c6f7f34355fcfeefebef479f3 663.1 μs 468.5 μs 1.42
marlowe-semantics/dd11ae574eaeab0e9925319768989313a93913fdc347c704ddaa27042757d990 1075 μs 823 μs 1.31
marlowe-role-payout/0201020201020000020000010201020001020200000002010200000101010100 261.2 μs 184 μs 1.42
marlowe-role-payout/0202010002010100020102020102020001010101020102010001010101000100 242.9 μs 171.3 μs 1.42
marlowe-role-payout/0303020000020001010201060303040208070100050401080304020801030001 242.9 μs 170.8 μs 1.42
marlowe-role-payout/031d56d71454e2c4216ffaa275c4a8b3eb631109559d0e56f44ea8489f57ba97 292.3 μs 206.2 μs 1.42

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

CC: @IntersectMBO/plutus-core

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