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Bump github.com/itchyny/gojq from 0.12.16 to 0.12.17 #31677

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@dependabot dependabot bot commented on behalf of github Dec 2, 2024

Bumps github.com/itchyny/gojq from 0.12.16 to 0.12.17.

Release notes

Sourced from github.com/itchyny/gojq's releases.

Release v0.12.17

  • implement add/1, skip/2 functions
  • implement --library-path option as the alias of -L option
  • fix reduce syntax to emit results for each initial value
  • fix last/1 to yield no values when the argument yields no values
  • fix limit/2 to emit an error on negative count
  • fix @uri and @urid formats not to convert space between plus sign
  • fix resolving search paths of import statements in the query
  • improve time functions to accept fewer element arrays
Changelog

Sourced from github.com/itchyny/gojq's changelog.

v0.12.17 (2024-12-01)

  • implement add/1, skip/2 functions
  • implement --library-path option as the alias of -L option
  • fix reduce syntax to emit results for each initial value
  • fix last/1 to yield no values when the argument yields no values
  • fix limit/2 to emit an error on negative count
  • fix @uri and @urid formats not to convert space between plus sign
  • fix resolving search paths of import statements in the query
  • improve time functions to accept fewer element arrays
Commits
  • f4c2cfe bump up version to 0.12.17
  • f561d02 update CHANGELOG.md for v0.12.17
  • 5fbda3f implement --library-path option as the alias of -L option
  • af0c3da use strings.Repeat to repeat a space in formatting flags
  • 8a09826 fix reduce syntax to emit results for each initial value
  • b685aac avoid repeating the same return type
  • 8f6a146 refactor stream input iterator to use jsonInputIter
  • 9de339f refactor color parsing and environ loader using strings.Cut
  • b144489 handle error of setting environment variables in tests
  • 086bd2b implement skip/2, fix limit/2 to emit error on negative count
  • Additional commits viewable in compare view

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Bumps [github.com/itchyny/gojq](https://github.com/itchyny/gojq) from 0.12.16 to 0.12.17.
- [Release notes](https://github.com/itchyny/gojq/releases)
- [Changelog](https://github.com/itchyny/gojq/blob/main/CHANGELOG.md)
- [Commits](itchyny/gojq@v0.12.16...v0.12.17)

---
updated-dependencies:
- dependency-name: github.com/itchyny/gojq
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <[email protected]>
@dependabot dependabot bot added changelog/no-changelog dependencies PRs that bump a dependency dependencies-go PRs that bump a go dependency team/triage labels Dec 2, 2024
@github-actions github-actions bot added the short review PR is simple enough to be reviewed quickly label Dec 2, 2024
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Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: 64f7e61e-1d13-469b-be64-904f18f40b82

Baseline: be4b703
Comparison: 8695ee9
Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

perf experiment goal Δ mean % Δ mean % CI trials links
basic_py_check % cpu utilization +1.30 [-2.65, +5.24] 1 Logs
file_to_blackhole_300ms_latency egress throughput +0.19 [-0.45, +0.82] 1 Logs
quality_gate_idle_all_features memory utilization +0.18 [+0.08, +0.28] 1 Logs bounds checks dashboard
file_tree memory utilization +0.08 [-0.07, +0.23] 1 Logs
file_to_blackhole_500ms_latency egress throughput +0.06 [-0.71, +0.83] 1 Logs
uds_dogstatsd_to_api ingress throughput +0.03 [-0.06, +0.13] 1 Logs
file_to_blackhole_1000ms_latency_linear_load egress throughput +0.02 [-0.44, +0.48] 1 Logs
tcp_dd_logs_filter_exclude ingress throughput -0.00 [-0.01, +0.01] 1 Logs
file_to_blackhole_100ms_latency egress throughput -0.01 [-0.73, +0.72] 1 Logs
file_to_blackhole_0ms_latency egress throughput -0.03 [-0.83, +0.77] 1 Logs
uds_dogstatsd_to_api_cpu % cpu utilization -0.16 [-0.89, +0.58] 1 Logs
file_to_blackhole_1000ms_latency egress throughput -0.31 [-1.10, +0.48] 1 Logs
tcp_syslog_to_blackhole ingress throughput -0.45 [-0.51, -0.39] 1 Logs
quality_gate_idle memory utilization -0.52 [-0.56, -0.47] 1 Logs bounds checks dashboard
otel_to_otel_logs ingress throughput -0.85 [-1.53, -0.17] 1 Logs
pycheck_lots_of_tags % cpu utilization -1.49 [-4.89, +1.91] 1 Logs
quality_gate_logs % cpu utilization -1.93 [-4.88, +1.02] 1 Logs

Bounds Checks: ❌ Failed

perf experiment bounds_check_name replicates_passed links
file_to_blackhole_300ms_latency lost_bytes 9/10
file_to_blackhole_0ms_latency lost_bytes 10/10
file_to_blackhole_0ms_latency memory_usage 10/10
file_to_blackhole_1000ms_latency memory_usage 10/10
file_to_blackhole_1000ms_latency_linear_load memory_usage 10/10
file_to_blackhole_100ms_latency lost_bytes 10/10
file_to_blackhole_100ms_latency memory_usage 10/10
file_to_blackhole_300ms_latency memory_usage 10/10
file_to_blackhole_500ms_latency lost_bytes 10/10
file_to_blackhole_500ms_latency memory_usage 10/10
quality_gate_idle memory_usage 10/10 bounds checks dashboard
quality_gate_idle_all_features memory_usage 10/10 bounds checks dashboard
quality_gate_logs lost_bytes 10/10
quality_gate_logs memory_usage 10/10

Explanation

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

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

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".

CI Pass/Fail Decision

Passed. All Quality Gates passed.

  • quality_gate_logs, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_logs, bounds check lost_bytes: 10/10 replicas passed. Gate passed.
  • quality_gate_idle_all_features, bounds check memory_usage: 10/10 replicas passed. Gate passed.
  • quality_gate_idle, bounds check memory_usage: 10/10 replicas passed. Gate passed.

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