search

DataDog / datadog-agent

Main repository for Datadog Agent
https://docs.datadoghq.com/
Apache License 2.0
2.9k stars 1.21k forks source link

Bump github.com/stretchr/testify from 1.9.0 to 1.10.0 in /pkg/obfuscate #31460

Open dependabot[bot] opened 3 days ago

dependabot[bot] commented 3 days ago

Bumps github.com/stretchr/testify from 1.9.0 to 1.10.0.

Release notes

Sourced from github.com/stretchr/testify's releases.

v1.10.0

What's Changed

Functional Changes

Fixes

Documantation, Build & CI

New Contributors

... (truncated)

Commits
  • 89cbdd9 Merge pull request #1626 from arjun-1/fix-functional-options-diff-indirect-calls
  • 07bac60 Merge pull request #1667 from sikehish/flaky
  • 716de8d Increase timeouts in Test_Mock_Called_blocks to reduce flakiness in CI
  • 118fb83 NotSame should fail if args are not pointers #1661 (#1664)
  • 7d99b2b attempt 2
  • 05f87c0 more similar
  • ea7129e better fmt
  • a1b9c9e Merge pull request #1663 from ybrustin/master
  • 8302de9 Merge branch 'master' into master
  • 89352f7 Merge pull request #1518 from hendrywiranto/adjust-readme-remove-v2
  • Additional commits viewable in compare view


Dependabot compatibility score

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

Dependabot commands and options
You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)
cit-pr-commenter[bot] commented 3 days ago

Go Package Import Differences

Baseline: df19dfb89a243db3cf101d521a2f5e3b619e3b70 Comparison: 7706d43b410bbd79d3b05da40f1ca69e8f598e5d

binaryosarchchange
agentlinuxamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
agentlinuxarm64
+1, -0 
+github.com/stretchr/testify/assert/yaml
agentwindowsamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
agentdarwinamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
agentdarwinarm64
+1, -0 
+github.com/stretchr/testify/assert/yaml
iot-agentlinuxamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
iot-agentlinuxarm64
+1, -0 
+github.com/stretchr/testify/assert/yaml
heroku-agentlinuxamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
serverlesslinuxamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
serverlesslinuxarm64
+1, -0 
+github.com/stretchr/testify/assert/yaml
system-probelinuxamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
system-probelinuxarm64
+1, -0 
+github.com/stretchr/testify/assert/yaml
trace-agentlinuxamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
trace-agentlinuxarm64
+1, -0 
+github.com/stretchr/testify/assert/yaml
trace-agentwindowsamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
trace-agentdarwinamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
trace-agentdarwinarm64
+1, -0 
+github.com/stretchr/testify/assert/yaml
heroku-trace-agentlinuxamd64
+1, -0 
+github.com/stretchr/testify/assert/yaml
cit-pr-commenter[bot] commented 3 days ago

Regression Detector

Regression Detector Results

Metrics dashboard
Target profiles
Run ID: ba271fb7-2a51-44b4-93dc-8e338e4c61a4

Baseline: df19dfb89a243db3cf101d521a2f5e3b619e3b70 Comparison: 7706d43b410bbd79d3b05da40f1ca69e8f598e5d Diff

Optimization Goals: ✅ No significant changes detected

Fine details of change detection per experiment

| perf | experiment | goal | Δ mean % | Δ mean % CI | trials | links | |------|----------------------------------------------|--------------------|----------|----------------|--------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | ➖ | pycheck_lots_of_tags | % cpu utilization | +2.08 | [-1.46, +5.61] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Apycheck_lots_of_tags%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | file_tree | memory utilization | +1.85 | [+1.72, +1.97] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_tree%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | tcp_syslog_to_blackhole | ingress throughput | +0.94 | [+0.87, +1.01] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Atcp_syslog_to_blackhole%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | quality_gate_idle | memory utilization | +0.93 | [+0.87, +1.00] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aquality_gate_idle%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) [bounds checks dashboard](https://app.datadoghq.com/dashboard/vz3-jd5-bdi?fromUser=true&refresh_mode=paused&tpl_var_experiment%5B0%5D=quality_gate_idle&tpl_var_job_id%5B0%5D=ba271fb7-2a51-44b4-93dc-8e338e4c61a4&tpl_var_run-id%5B0%5D=ba271fb7-2a51-44b4-93dc-8e338e4c61a4&view=spans&from_ts=1732570798000&to_ts=1732571398000&live=false) | | ➖ | otel_to_otel_logs | ingress throughput | +0.41 | [-0.27, +1.08] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aotel_to_otel_logs%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | quality_gate_idle_all_features | memory utilization | +0.29 | [+0.15, +0.43] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Aquality_gate_idle_all_features%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) [bounds checks dashboard](https://app.datadoghq.com/dashboard/vz3-jd5-bdi?fromUser=true&refresh_mode=paused&tpl_var_experiment%5B0%5D=quality_gate_idle_all_features&tpl_var_job_id%5B0%5D=ba271fb7-2a51-44b4-93dc-8e338e4c61a4&tpl_var_run-id%5B0%5D=ba271fb7-2a51-44b4-93dc-8e338e4c61a4&view=spans&from_ts=1732570798000&to_ts=1732571398000&live=false) | | ➖ | file_to_blackhole_300ms_latency | egress throughput | +0.01 | [-0.61, +0.64] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_to_blackhole_300ms_latency%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | uds_dogstatsd_to_api | ingress throughput | +0.01 | [-0.09, +0.11] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Auds_dogstatsd_to_api%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | tcp_dd_logs_filter_exclude | ingress throughput | -0.00 | [-0.01, +0.01] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Atcp_dd_logs_filter_exclude%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | file_to_blackhole_100ms_latency | egress throughput | -0.00 | [-0.69, +0.69] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_to_blackhole_100ms_latency%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | file_to_blackhole_0ms_latency | egress throughput | -0.01 | [-0.72, +0.70] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_to_blackhole_0ms_latency%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | file_to_blackhole_500ms_latency | egress throughput | -0.10 | [-0.87, +0.68] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_to_blackhole_500ms_latency%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | file_to_blackhole_1000ms_latency | egress throughput | -0.23 | [-1.01, +0.55] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_to_blackhole_1000ms_latency%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | file_to_blackhole_1000ms_latency_linear_load | egress throughput | -0.24 | [-0.71, +0.23] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Afile_to_blackhole_1000ms_latency_linear_load%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | basic_py_check | % cpu utilization | -0.47 | [-4.31, +3.37] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Abasic_py_check%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) | | ➖ | uds_dogstatsd_to_api_cpu | % cpu utilization | -1.26 | [-2.00, -0.52] | 1 | [Logs](https://app.datadoghq.com/logs?query=experiment%3Auds_dogstatsd_to_api_cpu%20run_id%3Aba271fb7-2a51-44b4-93dc-8e338e4c61a4&agg_m=count&agg_m_source=base&agg_q=%40span.url&agg_q_source=base&agg_t=count&fromUser=true&index=single-machine-performance-target-logs&messageDisplay=inline&refresh_mode=paused&storage=hot&stream_sort=time%2Cdesc&top_n=100&top_o=top&viz=stream&x_missing=true&from_ts=1732563598000&to_ts=1732574998000&live=false) |

Bounds Checks: ✅ Passed

| perf | experiment | bounds_check_name | replicates_passed | links | |------|----------------------------------------------|-------------------|-------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | ✅ | 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 | lost_bytes | 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](https://app.datadoghq.com/dashboard/vz3-jd5-bdi?fromUser=true&refresh_mode=paused&tpl_var_experiment%5B0%5D=quality_gate_idle&tpl_var_job_id%5B0%5D=ba271fb7-2a51-44b4-93dc-8e338e4c61a4&tpl_var_run-id%5B0%5D=ba271fb7-2a51-44b4-93dc-8e338e4c61a4&view=spans&from_ts=1732570798000&to_ts=1732571398000&live=false) | | ✅ | quality_gate_idle_all_features | memory_usage | 10/10 | [bounds checks dashboard](https://app.datadoghq.com/dashboard/vz3-jd5-bdi?fromUser=true&refresh_mode=paused&tpl_var_experiment%5B0%5D=quality_gate_idle_all_features&tpl_var_job_id%5B0%5D=ba271fb7-2a51-44b4-93dc-8e338e4c61a4&tpl_var_run-id%5B0%5D=ba271fb7-2a51-44b4-93dc-8e338e4c61a4&view=spans&from_ts=1732570798000&to_ts=1732571398000&live=false) |

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.