chore(deps): Bump serde_json from 1.0.121 to 1.0.125

[dependabot]

Bumps serde_json from 1.0.121 to 1.0.125.

Release notes

Sourced from serde_json's releases.

1.0.125

• Speed up \uXXXX parsing and improve handling of unpaired surrogates when deserializing to bytes (#1172, #1175, thanks @​purplesyringa)

v1.0.124

• Fix a bug in processing string escapes in big-endian architectures (#1173, thanks @​purplesyringa)

v1.0.123

• Optimize string parsing by applying SIMD-within-a-register: 30.3% improvement on twitter.json from 613 MB/s to 799 MB/s (#1161, thanks @​purplesyringa)

v1.0.122

• Support using json! in no-std crates (#1166)

Commits

• 6130f9b Release 1.0.125
• cc7a160 Touch up PR 1175
• 0f942e5 Merge pull request 1175 from iex-rs/faster-backslash-u
• d8921cd Merge pull request #1172 from iex-rs/faster-hex
• b4bc643 Merge pull request #1176 from dtolnay/miriname
• 94a2aad Improve job names for miri jobs
• 8073fc1 Merge pull request #1174 from iex-rs/miri-on-ci
• 96ae604 Correct WTF-8 parsing
• 236cc82 Simplify unicode escape handling
• 2f28d10 Use the same UTF-8/WTF-8 impl for surrogates
• Additional commits viewable in compare view

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[github-actions]

Regression Detector Results

Run ID: 7650ff45-e62b-4127-8657-29438580a9f2 Metrics dashboard

Baseline: af57155
Comparison: ae3696f

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.

Experiments ignored for regressions

Regressions in experiments with settings containing erratic: true are ignored.

perf	experiment	goal	Δ mean %	Δ mean % CI	links
✅	file_to_blackhole	egress throughput	+8.16	[+0.76, +15.56]

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	links
✅	file_to_blackhole	egress throughput	+8.16	[+0.76, +15.56]
➖	syslog_loki	ingress throughput	+3.13	[+3.04, +3.21]
➖	syslog_log2metric_splunk_hec_metrics	ingress throughput	+1.86	[+1.74, +1.97]
➖	otlp_http_to_blackhole	ingress throughput	+1.67	[+1.53, +1.81]
➖	socket_to_socket_blackhole	ingress throughput	+1.55	[+1.45, +1.65]
➖	datadog_agent_remap_datadog_logs	ingress throughput	+1.33	[+1.12, +1.54]
➖	fluent_elasticsearch	ingress throughput	+0.98	[+0.48, +1.48]
➖	syslog_splunk_hec_logs	ingress throughput	+0.72	[+0.58, +0.86]
➖	datadog_agent_remap_datadog_logs_acks	ingress throughput	+0.47	[+0.32, +0.63]
➖	datadog_agent_remap_blackhole_acks	ingress throughput	+0.37	[+0.24, +0.49]
➖	http_elasticsearch	ingress throughput	+0.24	[+0.11, +0.37]
➖	splunk_hec_route_s3	ingress throughput	+0.19	[-0.12, +0.50]
➖	http_to_http_json	ingress throughput	+0.09	[+0.03, +0.15]
➖	splunk_hec_indexer_ack_blackhole	ingress throughput	+0.02	[-0.06, +0.10]
➖	splunk_hec_to_splunk_hec_logs_noack	ingress throughput	+0.02	[-0.08, +0.12]
➖	splunk_hec_to_splunk_hec_logs_acks	ingress throughput	+0.00	[-0.10, +0.10]
➖	http_to_http_noack	ingress throughput	+0.00	[-0.02, +0.02]
➖	syslog_log2metric_tag_cardinality_limit_blackhole	ingress throughput	-0.02	[-0.15, +0.10]
➖	syslog_humio_logs	ingress throughput	-0.03	[-0.19, +0.13]
➖	http_to_s3	ingress throughput	-0.15	[-0.42, +0.11]
➖	datadog_agent_remap_blackhole	ingress throughput	-1.23	[-1.33, -1.12]
➖	otlp_grpc_to_blackhole	ingress throughput	-1.24	[-1.42, -1.07]
➖	http_to_http_acks	ingress throughput	-1.84	[-3.13, -0.54]
➖	http_text_to_http_json	ingress throughput	-1.93	[-2.06, -1.79]
➖	syslog_log2metric_humio_metrics	ingress throughput	-3.02	[-3.18, -2.86]
➖	syslog_regex_logs2metric_ddmetrics	ingress throughput	-3.65	[-3.80, -3.50]

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".