chore(deps): bump pin-project from 1.1.6 to 1.1.7

[dependabot]

Bumps pin-project from 1.1.6 to 1.1.7.

Release notes

Sourced from pin-project's releases.

1.1.7

• Work around an issue on negative_impls that allows unsound overlapping Unpin implementations. (#357)

Changelog

Sourced from pin-project's changelog.

[1.1.7] - 2024-10-24

• Work around an issue on negative_impls that allows unsound overlapping Unpin implementations. (#357)

Commits

• 31fb40c Release 1.1.7
• 0e79b89 Update changelog
• f6c7504 Work around negative_impls that allows unsound overlapping Unpin impls
• 0009800 ci: Auto-update cspell dictionary
• 43839a9 tests: Update ui test output to nightly-2024-10-17
• f875d22 tests: Update lint test
• See full diff in compare view

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[pr-commenter]

Regression Detector (DogStatsD)

Regression Detector Results

Run ID: e73b4603-c5ef-46e7-81cb-b17e23509c48

Baseline: 7.58.0
Comparison: 7.58.0

Performance changes are noted in the perf column of each table:

• ✅ = significantly better comparison variant performance
• ❌ = significantly worse comparison variant performance
• ➖ = no significant change in performance

No significant changes in experiment optimization goals

Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%

There were no significant changes in experiment optimization goals at this confidence level and effect size tolerance.

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
➖	dsd_uds_100mb_3k_contexts_distributions_only	memory utilization	+0.80	[+0.62, +0.97]	1
➖	dsd_uds_10mb_3k_contexts	ingress throughput	+0.02	[-0.01, +0.04]	1
➖	dsd_uds_1mb_3k_contexts	ingress throughput	+0.02	[-0.01, +0.04]	1
➖	dsd_uds_100mb_250k_contexts	ingress throughput	+0.01	[-0.03, +0.05]	1
➖	dsd_uds_100mb_3k_contexts	ingress throughput	+0.01	[-0.02, +0.03]	1
➖	dsd_uds_1mb_50k_contexts_memlimit	ingress throughput	-0.00	[-0.03, +0.03]	1
➖	dsd_uds_500mb_3k_contexts	ingress throughput	-0.00	[-0.01, +0.01]	1
➖	dsd_uds_1mb_50k_contexts	ingress throughput	-0.03	[-0.06, -0.01]	1
➖	dsd_uds_512kb_3k_contexts	ingress throughput	-0.05	[-0.09, -0.01]	1

Explanation

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".

For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:

1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

2. Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.

3. Its configuration does not mark it "erratic".

[pr-commenter]

Regression Detector (Saluki)

Regression Detector Results

Run ID: 3d88d7af-d1e7-42b0-af80-f1adcd0d89e1

Baseline: c3acd1d
Comparison: 9b10bdb

Performance changes are noted in the perf column of each table:

• ✅ = significantly better comparison variant performance
• ❌ = significantly worse comparison variant performance
• ➖ = no significant change in performance

Significant changes in experiment optimization goals

Confidence level: 90.00%
Effect size tolerance: |Δ mean %| ≥ 5.00%

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
❌	dsd_uds_100mb_3k_contexts_distributions_only	memory utilization	+7.63	[+7.44, +7.83]	1

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	trials	links
❌	dsd_uds_100mb_3k_contexts_distributions_only	memory utilization	+7.63	[+7.44, +7.83]	1
➖	dsd_uds_500mb_3k_contexts	ingress throughput	+0.97	[+0.88, +1.06]	1
➖	dsd_uds_1mb_50k_contexts_memlimit	ingress throughput	+0.84	[-2.99, +4.67]	1
➖	dsd_uds_1mb_3k_contexts	ingress throughput	+0.10	[+0.06, +0.13]	1
➖	dsd_uds_10mb_3k_contexts	ingress throughput	+0.01	[-0.02, +0.05]	1
➖	dsd_uds_50mb_10k_contexts_no_inlining	ingress throughput	+0.00	[-0.01, +0.02]	1
➖	dsd_uds_100mb_250k_contexts	ingress throughput	+0.00	[-0.01, +0.01]	1
➖	dsd_uds_50mb_10k_contexts_no_inlining_no_allocs	ingress throughput	+0.00	[-0.00, +0.00]	1
➖	dsd_uds_1mb_50k_contexts	ingress throughput	-0.00	[-0.00, +0.00]	1
➖	dsd_uds_100mb_3k_contexts	ingress throughput	-0.00	[-0.02, +0.01]	1
➖	dsd_uds_512kb_3k_contexts	ingress throughput	-0.03	[-0.07, +0.01]	1

Explanation

A regression test is an A/B test of target performance in a repeatable rig, where "performance" is measured as "comparison variant minus baseline variant" for an optimization goal (e.g., ingress throughput). Due to intrinsic variability in measuring that goal, we can only estimate its mean value for each experiment; we report uncertainty in that value as a 90.00% confidence interval denoted "Δ mean % CI".

For each experiment, we decide whether a change in performance is a "regression" -- a change worth investigating further -- if all of the following criteria are true:

1. Its estimated |Δ mean %| ≥ 5.00%, indicating the change is big enough to merit a closer look.

2. Its 90.00% confidence interval "Δ mean % CI" does not contain zero, indicating that if our statistical model is accurate, there is at least a 90.00% chance there is a difference in performance between baseline and comparison variants.

3. Its configuration does not mark it "erratic".

[pr-commenter]

Regression Detector Links

Experiment Result Links

experiment	link(s)
dsd_uds_100mb_250k_contexts	[Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_100mb_3k_contexts	[Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_100mb_3k_contexts_distributions_only	[Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_10mb_3k_contexts	[Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_1mb_3k_contexts	[Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_1mb_50k_contexts	[Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_1mb_50k_contexts_memlimit	[Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_500mb_3k_contexts	[Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_512kb_3k_contexts	[Profiling (ADP)] [Profiling (DSD)] [SMP Dashboard]
dsd_uds_50mb_10k_contexts_no_inlining (ADP only)	[Profiling (ADP)] [SMP Dashboard]
dsd_uds_50mb_10k_contexts_no_inlining_no_allocs (ADP only)	[Profiling (ADP)] [SMP Dashboard]