chore(deps): Bump syn from 2.0.60 to 2.0.61

[dependabot]

Bumps syn from 2.0.60 to 2.0.61.

Release notes

Sourced from syn's releases.

2.0.61

• Check for legal binding name in the ident of Pat::Ident (#1627)
• Resolve unexpected_cfgs warning (#1635)

Commits

• e2abd39 Release 2.0.61
• 884ac0c Merge pull request #1635 from dtolnay/checkcfg
• 05c4cd2 Resolve unexpected_cfgs warning
• 45844d8 Update test suite to nightly-2024-05-01
• 79a80eb Update test suite to nightly-2024-04-28
• b70a8e7 Update test suite to nightly-2024-04-26
• 128b141 Update test suite to nightly-2024-04-25
• 19756f4 Resolve duplicated_attributes clippy lint in test
• 76beaff Raise stack size for tests in debug mode
• a9057f7 Update test suite to nightly-2024-04-19
• Additional commits viewable in compare view

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[github-actions]

Regression Detector Results

Run ID: 6c8c010b-95f4-4e7a-93f2-cccb50b4d4c2
Baseline: 0bf39b1
Comparison: fc6147a
Total CPUs: 7

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
✅	syslog_splunk_hec_logs	ingress throughput	+6.83	[+6.72, +6.93]
❌	otlp_http_to_blackhole	ingress throughput	-5.76	[-5.90, -5.61]

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI
✅	syslog_splunk_hec_logs	ingress throughput	+6.83	[+6.72, +6.93]
➖	syslog_log2metric_tag_cardinality_limit_blackhole	ingress throughput	+4.59	[+4.43, +4.76]
➖	syslog_loki	ingress throughput	+3.72	[+3.59, +3.85]
➖	splunk_hec_route_s3	ingress throughput	+3.36	[+2.85, +3.86]
➖	syslog_log2metric_splunk_hec_metrics	ingress throughput	+1.87	[+1.69, +2.05]
➖	file_to_blackhole	egress throughput	+1.56	[-0.95, +4.07]
➖	http_elasticsearch	ingress throughput	+0.66	[+0.58, +0.73]
➖	syslog_humio_logs	ingress throughput	+0.48	[+0.34, +0.62]
➖	syslog_regex_logs2metric_ddmetrics	ingress throughput	+0.35	[+0.15, +0.55]
➖	datadog_agent_remap_datadog_logs	ingress throughput	+0.17	[+0.06, +0.28]
➖	http_to_s3	ingress throughput	+0.17	[-0.11, +0.45]
➖	http_to_http_noack	ingress throughput	+0.17	[+0.08, +0.26]
➖	http_to_http_json	ingress throughput	+0.05	[-0.02, +0.13]
➖	splunk_hec_to_splunk_hec_logs_acks	ingress throughput	-0.00	[-0.14, +0.14]
➖	splunk_hec_indexer_ack_blackhole	ingress throughput	-0.00	[-0.15, +0.14]
➖	splunk_hec_to_splunk_hec_logs_noack	ingress throughput	-0.05	[-0.17, +0.06]
➖	enterprise_http_to_http	ingress throughput	-0.09	[-0.16, -0.02]
➖	datadog_agent_remap_datadog_logs_acks	ingress throughput	-0.54	[-0.64, -0.45]
➖	fluent_elasticsearch	ingress throughput	-0.61	[-1.10, -0.12]
➖	otlp_grpc_to_blackhole	ingress throughput	-1.07	[-1.16, -0.98]
➖	http_to_http_acks	ingress throughput	-1.23	[-2.59, +0.13]
➖	datadog_agent_remap_blackhole_acks	ingress throughput	-1.49	[-1.63, -1.35]
➖	datadog_agent_remap_blackhole	ingress throughput	-2.36	[-2.48, -2.24]
➖	socket_to_socket_blackhole	ingress throughput	-2.61	[-2.70, -2.53]
➖	syslog_log2metric_humio_metrics	ingress throughput	-2.87	[-3.04, -2.71]
➖	http_text_to_http_json	ingress throughput	-2.93	[-3.10, -2.76]
❌	otlp_http_to_blackhole	ingress throughput	-5.76	[-5.90, -5.61]

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: d258d2ea-5e2c-4522-9237-2f6ca1ab9eb4
Baseline: d16af77
Comparison: d2e14a8
Total CPUs: 7

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
✅	splunk_hec_route_s3	ingress throughput	+5.66	[+5.15, +6.17]
❌	syslog_log2metric_humio_metrics	ingress throughput	-6.32	[-6.47, -6.17]

Fine details of change detection per experiment

perf	experiment	goal	Δ mean %	Δ mean % CI
✅	splunk_hec_route_s3	ingress throughput	+5.66	[+5.15, +6.17]
➖	otlp_http_to_blackhole	ingress throughput	+1.88	[+1.75, +2.00]
➖	file_to_blackhole	egress throughput	+1.34	[-1.19, +3.87]
➖	datadog_agent_remap_blackhole	ingress throughput	+1.18	[+1.03, +1.33]
➖	http_text_to_http_json	ingress throughput	+1.11	[+0.93, +1.30]
➖	socket_to_socket_blackhole	ingress throughput	+0.93	[+0.85, +1.00]
➖	http_elasticsearch	ingress throughput	+0.85	[+0.75, +0.94]
➖	otlp_grpc_to_blackhole	ingress throughput	+0.83	[+0.73, +0.93]
➖	fluent_elasticsearch	ingress throughput	+0.82	[+0.33, +1.32]
➖	datadog_agent_remap_blackhole_acks	ingress throughput	+0.48	[+0.36, +0.59]
➖	http_to_http_noack	ingress throughput	+0.21	[+0.11, +0.31]
➖	http_to_http_json	ingress throughput	+0.03	[-0.04, +0.10]
➖	splunk_hec_to_splunk_hec_logs_acks	ingress throughput	+0.00	[-0.13, +0.14]
➖	splunk_hec_indexer_ack_blackhole	ingress throughput	-0.00	[-0.15, +0.14]
➖	splunk_hec_to_splunk_hec_logs_noack	ingress throughput	-0.02	[-0.14, +0.09]
➖	http_to_http_acks	ingress throughput	-0.05	[-1.42, +1.31]
➖	syslog_log2metric_tag_cardinality_limit_blackhole	ingress throughput	-0.06	[-0.19, +0.08]
➖	syslog_regex_logs2metric_ddmetrics	ingress throughput	-0.10	[-0.24, +0.05]
➖	enterprise_http_to_http	ingress throughput	-0.10	[-0.17, -0.03]
➖	syslog_humio_logs	ingress throughput	-0.27	[-0.41, -0.14]
➖	http_to_s3	ingress throughput	-0.29	[-0.57, -0.01]
➖	datadog_agent_remap_datadog_logs_acks	ingress throughput	-0.49	[-0.62, -0.36]
➖	syslog_log2metric_splunk_hec_metrics	ingress throughput	-0.97	[-1.17, -0.78]
➖	syslog_loki	ingress throughput	-1.06	[-1.12, -1.00]
➖	datadog_agent_remap_datadog_logs	ingress throughput	-1.44	[-1.57, -1.31]
➖	syslog_splunk_hec_logs	ingress throughput	-1.48	[-1.65, -1.32]
❌	syslog_log2metric_humio_metrics	ingress throughput	-6.32	[-6.47, -6.17]

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: 2e5356bf-2b6d-48b4-a2ad-8c30a038f669
Baseline: a7b9f9e
Comparison: e5dbc0d
Total CPUs: 7

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
➖	otlp_http_to_blackhole	ingress throughput	+2.92	[+2.78, +3.05]
➖	datadog_agent_remap_blackhole_acks	ingress throughput	+1.44	[+1.32, +1.55]
➖	datadog_agent_remap_datadog_logs	ingress throughput	+1.03	[+0.91, +1.15]
➖	fluent_elasticsearch	ingress throughput	+0.85	[+0.36, +1.33]
➖	otlp_grpc_to_blackhole	ingress throughput	+0.77	[+0.68, +0.86]
➖	http_text_to_http_json	ingress throughput	+0.76	[+0.61, +0.92]
➖	splunk_hec_route_s3	ingress throughput	+0.60	[+0.13, +1.07]
➖	socket_to_socket_blackhole	ingress throughput	+0.59	[+0.52, +0.67]
➖	http_to_s3	ingress throughput	+0.51	[+0.23, +0.79]
➖	http_elasticsearch	ingress throughput	+0.42	[+0.34, +0.50]
➖	http_to_http_acks	ingress throughput	+0.31	[-1.04, +1.66]
➖	http_to_http_noack	ingress throughput	+0.19	[+0.10, +0.29]
➖	http_to_http_json	ingress throughput	+0.07	[-0.01, +0.15]
➖	datadog_agent_remap_datadog_logs_acks	ingress throughput	+0.04	[-0.05, +0.12]
➖	splunk_hec_indexer_ack_blackhole	ingress throughput	+0.01	[-0.14, +0.15]
➖	splunk_hec_to_splunk_hec_logs_acks	ingress throughput	+0.00	[-0.14, +0.14]
➖	splunk_hec_to_splunk_hec_logs_noack	ingress throughput	-0.04	[-0.15, +0.07]
➖	enterprise_http_to_http	ingress throughput	-0.05	[-0.10, +0.00]
➖	file_to_blackhole	egress throughput	-0.29	[-2.77, +2.20]
➖	syslog_log2metric_humio_metrics	ingress throughput	-0.47	[-0.56, -0.39]
➖	syslog_log2metric_splunk_hec_metrics	ingress throughput	-0.98	[-1.15, -0.82]
➖	syslog_loki	ingress throughput	-2.25	[-2.34, -2.16]
➖	syslog_humio_logs	ingress throughput	-3.11	[-3.22, -3.00]
➖	syslog_log2metric_tag_cardinality_limit_blackhole	ingress throughput	-4.09	[-4.24, -3.94]
➖	syslog_splunk_hec_logs	ingress throughput	-4.45	[-4.52, -4.38]
➖	syslog_regex_logs2metric_ddmetrics	ingress throughput	-4.66	[-4.82, -4.49]
➖	datadog_agent_remap_blackhole	ingress throughput	-4.84	[-4.99, -4.70]

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".

[dependabot]

Dependabot attempted to update this pull request, but because the branch dependabot/cargo/syn-2.0.61 is protected it was unable to do so.

[github-actions]

Regression Detector Results

Run ID: 43faa0ae-6f25-4733-b6fa-50a127e4e592
Baseline: f2be33e
Comparison: 911e63d
Total CPUs: 7

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
➖	syslog_log2metric_humio_metrics	ingress throughput	+4.91	[+4.77, +5.05]
➖	http_elasticsearch	ingress throughput	+2.62	[+2.54, +2.69]
➖	otlp_http_to_blackhole	ingress throughput	+2.02	[+1.89, +2.16]
➖	socket_to_socket_blackhole	ingress throughput	+1.81	[+1.73, +1.89]
➖	datadog_agent_remap_datadog_logs_acks	ingress throughput	+0.64	[+0.55, +0.73]
➖	http_to_s3	ingress throughput	+0.41	[+0.13, +0.69]
➖	datadog_agent_remap_blackhole	ingress throughput	+0.38	[+0.30, +0.47]
➖	splunk_hec_route_s3	ingress throughput	+0.31	[-0.15, +0.77]
➖	file_to_blackhole	egress throughput	+0.26	[-2.10, +2.62]
➖	http_to_http_acks	ingress throughput	+0.18	[-1.17, +1.53]
➖	http_to_http_noack	ingress throughput	+0.13	[+0.03, +0.24]
➖	http_to_http_json	ingress throughput	+0.02	[-0.05, +0.10]
➖	splunk_hec_to_splunk_hec_logs_acks	ingress throughput	+0.00	[-0.14, +0.14]
➖	splunk_hec_indexer_ack_blackhole	ingress throughput	+0.00	[-0.15, +0.15]
➖	splunk_hec_to_splunk_hec_logs_noack	ingress throughput	-0.04	[-0.16, +0.07]
➖	enterprise_http_to_http	ingress throughput	-0.07	[-0.15, -0.00]
➖	syslog_splunk_hec_logs	ingress throughput	-0.16	[-0.24, -0.08]
➖	otlp_grpc_to_blackhole	ingress throughput	-0.43	[-0.52, -0.34]
➖	datadog_agent_remap_blackhole_acks	ingress throughput	-0.68	[-0.78, -0.57]
➖	syslog_loki	ingress throughput	-0.93	[-0.99, -0.88]
➖	datadog_agent_remap_datadog_logs	ingress throughput	-1.31	[-1.43, -1.20]
➖	http_text_to_http_json	ingress throughput	-1.32	[-1.43, -1.20]
➖	syslog_humio_logs	ingress throughput	-1.54	[-1.68, -1.41]
➖	fluent_elasticsearch	ingress throughput	-1.54	[-2.02, -1.06]
➖	syslog_regex_logs2metric_ddmetrics	ingress throughput	-2.53	[-2.63, -2.43]
➖	syslog_log2metric_tag_cardinality_limit_blackhole	ingress throughput	-3.92	[-4.05, -3.80]
➖	syslog_log2metric_splunk_hec_metrics	ingress throughput	-4.56	[-4.73, -4.38]

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".