chore(deps): Bump syn from 2.0.79 to 2.0.82

[dependabot]

Bumps syn from 2.0.79 to 2.0.82.

Release notes

Sourced from syn's releases.

2.0.82

• Provide Parse impls for PreciseCapture and CapturedParam (#1757, #1758)
• Support parsing unsafe attributes (#1759)
• Add Fold and VisitMut methods for Vec<Attribute> (#1762)

2.0.81

• Add TypeParamBound::PreciseCapture to represent precise capture syntax impl Trait + use<'a, T> (#1752, #1753, #1754)

2.0.80

• Add Expr::RawAddr (#1743)
• Reject precise captures and ~const in inappropriate syntax positions (#1747)
• Reject trait bound containing only precise capture (#1748)

Commits

• 76092cf Release 2.0.82
• 937dbcb Merge pull request #1762 from dtolnay/vecattr
• 386ae9d Add Fold and VisitMut methods for Vec<Attribute>
• 4c7f82e Merge pull request #1759 from dtolnay/unsafeattr
• a45af00 Parse unsafe attributes
• e011ba7 Merge pull request #1758 from dtolnay/precisecapture
• c25900d Implement Parse for CapturedParam
• fc22fce Merge pull request #1757 from dtolnay/precisecapture
• 3a45d69 Implement Parse for PreciseCapture
• c9bdfac Tweak parsing logic for TypeParamBound
• Additional commits viewable in compare view

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[github-actions]

Regression Detector Results

Run ID: 66dd6ffd-3ff9-49d2-97d2-3b9ecd895f87 Metrics dashboard

Baseline: 5f9b63a
Comparison: 8ddd982

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	-2.18	[-6.38, +2.02]

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	links
➖	syslog_loki	ingress throughput	+4.70	[+4.58, +4.82]
➖	syslog_log2metric_splunk_hec_metrics	ingress throughput	+1.89	[+1.78, +1.99]
➖	syslog_splunk_hec_logs	ingress throughput	+1.42	[+1.34, +1.51]
➖	syslog_log2metric_tag_cardinality_limit_blackhole	ingress throughput	+1.17	[+1.09, +1.26]
➖	http_text_to_http_json	ingress throughput	+0.76	[+0.64, +0.88]
➖	syslog_regex_logs2metric_ddmetrics	ingress throughput	+0.42	[+0.23, +0.60]
➖	fluent_elasticsearch	ingress throughput	+0.35	[-0.20, +0.90]
➖	datadog_agent_remap_blackhole	ingress throughput	+0.27	[+0.18, +0.36]
➖	datadog_agent_remap_blackhole_acks	ingress throughput	+0.08	[-0.01, +0.17]
➖	splunk_hec_route_s3	ingress throughput	+0.07	[-0.22, +0.37]
➖	splunk_hec_to_splunk_hec_logs_acks	ingress throughput	+0.00	[-0.03, +0.03]
➖	splunk_hec_indexer_ack_blackhole	ingress throughput	+0.00	[-0.02, +0.02]
➖	http_to_http_noack	ingress throughput	+0.00	[-0.05, +0.05]
➖	http_to_http_json	ingress throughput	-0.00	[-0.04, +0.04]
➖	splunk_hec_to_splunk_hec_logs_noack	ingress throughput	-0.00	[-0.02, +0.02]
➖	http_to_http_acks	ingress throughput	-0.02	[-0.51, +0.46]
➖	http_to_s3	ingress throughput	-0.40	[-0.57, -0.23]
➖	datadog_agent_remap_datadog_logs	ingress throughput	-0.63	[-0.83, -0.42]
➖	syslog_log2metric_humio_metrics	ingress throughput	-0.80	[-0.94, -0.65]
➖	datadog_agent_remap_datadog_logs_acks	ingress throughput	-1.32	[-1.46, -1.17]
➖	http_elasticsearch	ingress throughput	-1.51	[-1.70, -1.31]
➖	otlp_http_to_blackhole	ingress throughput	-2.00	[-2.08, -1.91]
➖	syslog_humio_logs	ingress throughput	-2.01	[-2.16, -1.86]
➖	file_to_blackhole	egress throughput	-2.18	[-6.38, +2.02]
➖	otlp_grpc_to_blackhole	ingress throughput	-2.47	[-2.65, -2.29]
➖	socket_to_socket_blackhole	ingress throughput	-2.63	[-2.69, -2.57]

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".

[github-actions]

Regression Detector Results

Run ID: c3ff2fe1-f92b-46ad-941d-fa8cb8e2afa8 Metrics dashboard

Baseline: 2c24f7e
Comparison: 2ac9243

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	+0.54	[-3.64, +4.73]

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	links
➖	syslog_splunk_hec_logs	ingress throughput	+2.49	[+2.41, +2.57]
➖	syslog_regex_logs2metric_ddmetrics	ingress throughput	+2.43	[+2.22, +2.63]
➖	syslog_log2metric_tag_cardinality_limit_blackhole	ingress throughput	+2.40	[+2.34, +2.46]
➖	syslog_log2metric_splunk_hec_metrics	ingress throughput	+2.12	[+1.96, +2.28]
➖	splunk_hec_route_s3	ingress throughput	+2.08	[+1.77, +2.39]
➖	syslog_log2metric_humio_metrics	ingress throughput	+1.60	[+1.48, +1.73]
➖	syslog_loki	ingress throughput	+1.07	[+0.97, +1.18]
➖	datadog_agent_remap_datadog_logs_acks	ingress throughput	+0.66	[+0.54, +0.77]
➖	file_to_blackhole	egress throughput	+0.54	[-3.64, +4.73]
➖	datadog_agent_remap_blackhole	ingress throughput	+0.33	[+0.21, +0.44]
➖	fluent_elasticsearch	ingress throughput	+0.07	[-0.48, +0.62]
➖	splunk_hec_to_splunk_hec_logs_noack	ingress throughput	+0.05	[+0.02, +0.07]
➖	splunk_hec_to_splunk_hec_logs_acks	ingress throughput	+0.01	[-0.02, +0.04]
➖	http_to_http_noack	ingress throughput	+0.01	[-0.05, +0.06]
➖	http_to_http_json	ingress throughput	+0.00	[-0.04, +0.05]
➖	splunk_hec_indexer_ack_blackhole	ingress throughput	+0.00	[-0.02, +0.02]
➖	http_to_http_acks	ingress throughput	+0.00	[-0.49, +0.49]
➖	socket_to_socket_blackhole	ingress throughput	-0.13	[-0.19, -0.08]
➖	http_to_s3	ingress throughput	-0.16	[-0.34, +0.02]
➖	syslog_humio_logs	ingress throughput	-0.66	[-0.84, -0.49]
➖	datadog_agent_remap_datadog_logs	ingress throughput	-0.97	[-1.22, -0.73]
➖	http_elasticsearch	ingress throughput	-1.07	[-1.20, -0.94]
➖	datadog_agent_remap_blackhole_acks	ingress throughput	-1.25	[-1.36, -1.14]
➖	otlp_grpc_to_blackhole	ingress throughput	-3.29	[-3.49, -3.08]
➖	otlp_http_to_blackhole	ingress throughput	-3.40	[-3.48, -3.31]
➖	http_text_to_http_json	ingress throughput	-3.75	[-3.94, -3.56]

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".

[github-actions]

Regression Detector Results

Run ID: c59c3f07-5cb9-4874-a8c9-4d9424862ca9 Metrics dashboard

Baseline: 25fe9b8
Comparison: 5d517b9

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	-0.76	[-4.78, +3.26]

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI	links
➖	syslog_log2metric_splunk_hec_metrics	ingress throughput	+4.02	[+3.90, +4.13]
➖	datadog_agent_remap_datadog_logs	ingress throughput	+2.66	[+2.47, +2.86]
➖	syslog_regex_logs2metric_ddmetrics	ingress throughput	+2.03	[+1.87, +2.19]
➖	datadog_agent_remap_blackhole_acks	ingress throughput	+1.82	[+1.72, +1.92]
➖	syslog_splunk_hec_logs	ingress throughput	+1.34	[+1.22, +1.45]
➖	http_to_s3	ingress throughput	+1.22	[+1.06, +1.37]
➖	syslog_loki	ingress throughput	+0.94	[+0.86, +1.03]
➖	datadog_agent_remap_datadog_logs_acks	ingress throughput	+0.84	[+0.67, +1.01]
➖	datadog_agent_remap_blackhole	ingress throughput	+0.79	[+0.70, +0.88]
➖	otlp_grpc_to_blackhole	ingress throughput	+0.55	[+0.35, +0.74]
➖	http_to_http_acks	ingress throughput	+0.02	[-0.47, +0.51]
➖	http_to_http_noack	ingress throughput	+0.01	[-0.05, +0.07]
➖	splunk_hec_to_splunk_hec_logs_acks	ingress throughput	+0.00	[-0.03, +0.03]
➖	splunk_hec_indexer_ack_blackhole	ingress throughput	-0.00	[-0.02, +0.02]
➖	splunk_hec_to_splunk_hec_logs_noack	ingress throughput	-0.00	[-0.02, +0.02]
➖	http_to_http_json	ingress throughput	-0.00	[-0.05, +0.05]
➖	fluent_elasticsearch	ingress throughput	-0.02	[-0.56, +0.51]
➖	syslog_log2metric_tag_cardinality_limit_blackhole	ingress throughput	-0.02	[-0.13, +0.08]
➖	syslog_humio_logs	ingress throughput	-0.12	[-0.24, +0.00]
➖	http_elasticsearch	ingress throughput	-0.24	[-0.40, -0.07]
➖	file_to_blackhole	egress throughput	-0.76	[-4.78, +3.26]
➖	syslog_log2metric_humio_metrics	ingress throughput	-0.87	[-1.02, -0.71]
➖	http_text_to_http_json	ingress throughput	-1.00	[-1.13, -0.87]
➖	socket_to_socket_blackhole	ingress throughput	-1.62	[-1.70, -1.55]
➖	splunk_hec_route_s3	ingress throughput	-3.03	[-3.31, -2.75]
➖	otlp_http_to_blackhole	ingress throughput	-3.90	[-3.98, -3.82]

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".