chore(deps): Bump libc from 0.2.144 to 0.2.145 #17598
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Regression Detector ResultsRun ID: eab3f9cf-3bb6-4071-8c04-e613b6b862a4 ExplanationA regression test is an integrated performance test for Because a target's optimization goal performance in each experiment will vary somewhat each time it is run, we can only estimate mean differences in optimization goal relative to the baseline target. We express these differences as a percentage change relative to the baseline target, denoted "Δ mean %". These estimates are made to a precision that balances accuracy and cost control. We represent this precision as a 90.00% confidence interval denoted "Δ mean % CI": there is a 90.00% chance that the true value of "Δ mean %" is in that interval. We decide whether a change in performance is a "regression" -- a change worth investigating further -- if both of the following two criteria are true:
The table below, if present, lists those experiments that have experienced a statistically significant change in mean optimization goal performance between baseline and comparison SHAs with 90.00% confidence OR have been detected as newly erratic. Negative values of "Δ mean %" mean that baseline is faster, whereas positive values of "Δ mean %" mean that comparison is faster. Results that do not exhibit more than a ±5.00% change in their mean optimization goal are discarded. An experiment is erratic if its coefficient of variation is greater than 0.1. The abbreviated table will be omitted if no interesting change is observed. Changes in experiment optimization goals with confidence ≥ 90.00% and |Δ mean %| ≥ 5.00%:
Fine details of change detection per experiment.
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Regression Detector ResultsRun ID: b7c61786-99be-464a-92f2-d8dc7022271e ExplanationA regression test is an integrated performance test for Because a target's optimization goal performance in each experiment will vary somewhat each time it is run, we can only estimate mean differences in optimization goal relative to the baseline target. We express these differences as a percentage change relative to the baseline target, denoted "Δ mean %". These estimates are made to a precision that balances accuracy and cost control. We represent this precision as a 90.00% confidence interval denoted "Δ mean % CI": there is a 90.00% chance that the true value of "Δ mean %" is in that interval. We decide whether a change in performance is a "regression" -- a change worth investigating further -- if both of the following two criteria are true:
The table below, if present, lists those experiments that have experienced a statistically significant change in mean optimization goal performance between baseline and comparison SHAs with 90.00% confidence OR have been detected as newly erratic. Negative values of "Δ mean %" mean that baseline is faster, whereas positive values of "Δ mean %" mean that comparison is faster. Results that do not exhibit more than a ±5.00% change in their mean optimization goal are discarded. An experiment is erratic if its coefficient of variation is greater than 0.1. The abbreviated table will be omitted if no interesting change is observed. Changes in experiment optimization goals with confidence ≥ 90.00% and |Δ mean %| ≥ 5.00%:
Fine details of change detection per experiment.
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@dependabot rebase |
Bumps [libc](https://github.com/rust-lang/libc) from 0.2.144 to 0.2.145. - [Release notes](https://github.com/rust-lang/libc/releases) - [Commits](rust-lang/libc@0.2.144...0.2.145) --- updated-dependencies: - dependency-name: libc dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com>
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Regression Detector ResultsRun ID: 4226aa86-13f4-4459-8580-0793fba16c70 ExplanationA regression test is an integrated performance test for Because a target's optimization goal performance in each experiment will vary somewhat each time it is run, we can only estimate mean differences in optimization goal relative to the baseline target. We express these differences as a percentage change relative to the baseline target, denoted "Δ mean %". These estimates are made to a precision that balances accuracy and cost control. We represent this precision as a 90.00% confidence interval denoted "Δ mean % CI": there is a 90.00% chance that the true value of "Δ mean %" is in that interval. We decide whether a change in performance is a "regression" -- a change worth investigating further -- if both of the following two criteria are true:
The table below, if present, lists those experiments that have experienced a statistically significant change in mean optimization goal performance between baseline and comparison SHAs with 90.00% confidence OR have been detected as newly erratic. Negative values of "Δ mean %" mean that baseline is faster, whereas positive values of "Δ mean %" mean that comparison is faster. Results that do not exhibit more than a ±5.00% change in their mean optimization goal are discarded. An experiment is erratic if its coefficient of variation is greater than 0.1. The abbreviated table will be omitted if no interesting change is observed. No interesting changes in experiment optimization goals with confidence ≥ 90.00% and |Δ mean %| ≥ 5.00%. Fine details of change detection per experiment.
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Regression Detector ResultsRun ID: 87fa49a1-0ac6-4053-8a8a-65a79a037a75 ExplanationA regression test is an integrated performance test for Because a target's optimization goal performance in each experiment will vary somewhat each time it is run, we can only estimate mean differences in optimization goal relative to the baseline target. We express these differences as a percentage change relative to the baseline target, denoted "Δ mean %". These estimates are made to a precision that balances accuracy and cost control. We represent this precision as a 90.00% confidence interval denoted "Δ mean % CI": there is a 90.00% chance that the true value of "Δ mean %" is in that interval. We decide whether a change in performance is a "regression" -- a change worth investigating further -- if both of the following two criteria are true:
The table below, if present, lists those experiments that have experienced a statistically significant change in mean optimization goal performance between baseline and comparison SHAs with 90.00% confidence OR have been detected as newly erratic. Negative values of "Δ mean %" mean that baseline is faster, whereas positive values of "Δ mean %" mean that comparison is faster. Results that do not exhibit more than a ±5.00% change in their mean optimization goal are discarded. An experiment is erratic if its coefficient of variation is greater than 0.1. The abbreviated table will be omitted if no interesting change is observed. No interesting changes in experiment optimization goals with confidence ≥ 90.00% and |Δ mean %| ≥ 5.00%. Fine details of change detection per experiment.
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github-merge-queue
bot
removed this pull request from the merge queue due to failed status checks
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Superseded by #17615. |
Bumps libc from 0.2.144 to 0.2.145.
Release notes
Sourced from libc's releases.
Commits
e0dfb3fAuto merge of #3259 - vita-rust:update, r=JohnTitorc2bfe30Auto merge of #3263 - tzneal:add-msg-nosignal, r=JohnTitor3b808cfAuto merge of #3262 - nekopsykose:s390x-largefile, r=JohnTitorbe93cdaadd MSG_NEEDSA and MSG_NOSIGNAL for macos4d473b2s390x-musl: define O_LARGEFILE constant9469613Auto merge of #3257 - superwhiskers:add-putpwent, r=JohnTitorafce856Auto merge of #3253 - devnexen:dflybsd_malloc_usable_size, r=JohnTitor972b91cAuto merge of #3258 - tzneal:add-vsock-address-type, r=JohnTitor5234f34add constants and structs for vsock on macos9f786e0Update crate version to 0.2.145Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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