chore(ci): move LICENSE-binary version-drift tests into the infra job

[Yicong-Huang]

What changes were proposed in this PR?

Move bin/licensing/test_*.py — the unit tests for the per-module LICENSE-binary version-drift checker — from pyamber into infra (the project-tooling CI lane added in #5961).

Before:                                  After:
─────────────────────────────────────    ─────────────────────────────────────
pyamber (ubuntu × 3.10/3.11/3.12/3.13)   infra (ubuntu, macos)
  ├─ Unit-test licensing scripts × 4       ├─ Unit-test licensing scripts × 1
  └─ pip-licenses / amber tests            ├─ Run shell smoke tests
                                           └─ Run Python unit tests (pytest
infra (ubuntu, macos)                          covers bin/licensing/ +
  ├─ Run shell smoke tests                     bin/local-dev/tests/)
  └─ Run Python unit tests

Same stdlib unittest.TestCase tests — pytest discovers them without rewriting. Single combined pytest bin/local-dev/tests/ bin/licensing/ invocation so test failures are easy to attribute.

The infra job grows from "dev-loop tooling only" to "any project-tooling under bin/* that isn't tied to a specific service". Comment + labeler glob updated to match; bin/licensing/** now picks up the job automatically.

Any related issues, documentation, discussions?

Closes #5964.

How was this PR tested?

Locally on this checkout:

$ python -m pytest bin/local-dev/tests/ bin/licensing/ -v --tb=short
============================== 91 passed in 0.27s ==============================

$ bash bin/local-dev/tests/test_local_dev_sh.sh
9 passed, 0 failed

53 licensing tests (test_check_binary_deps.py + test_generate_notice_binary.py) + 38 local-dev TUI / dirty-detection tests, all on Python 3.12.

Was this PR authored or co-authored using generative AI tooling?

Generated-by: Claude Code (Anthropic, Claude Opus 4.7).

[github-actions]

Automated Reviewer Suggestions

Based on the git blame history of the changed files, we recommend the following reviewers:

• No candidates found from git blame history.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 55.24%. Comparing base (de6c31a) to head (1dd8a6c).

Additional details and impacted files

@@             Coverage Diff              @@
##               main    #5965      +/-   ##
============================================
- Coverage     55.27%   55.24%   -0.03%     
+ Complexity     2990     2987       -3     
============================================
  Files          1117     1117              
  Lines         43258    43258              
  Branches       4668     4668              
============================================
- Hits          23910    23899      -11     
- Misses        17938    17947       +9     
- Partials       1410     1412       +2     

Flag	Coverage Δ		*Carryforward flag
access-control-service	70.00% <ø> (ø)
agent-service	34.36% <ø> (ø)
amber	57.77% <ø> (-0.02%)	⬇️
computing-unit-managing-service	0.00% <ø> (ø)
config-service	51.56% <ø> (ø)
file-service	59.02% <ø> (ø)
frontend	48.84% <ø> (-0.04%)	⬇️
notebook-migration-service	78.57% <ø> (ø)
pyamber	90.20% <ø> (ø)
python	90.76% <ø> (ø)		Carriedforward from 73344eb
workflow-compiling-service	55.14% <ø> (ø)

*This pull request uses carry forward flags. Click here to find out more.

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[github-actions]

⚠️ Benchmark changes need a look

🟢 0 better · 🔴 1 worse · ⚪ 14 noise (<±5%) · 0 without baseline

Compared against main de6c31a benchmarked on this same runner, so the delta is largely free of cross-runner hardware noise. The "7d avg" column still reflects the gh-pages dashboard. Treat <±5% as noise unless repeated.

Dashboard · Run

	config	throughput	MB/s	latency	max Δ latest / 7d
🔴	bs=10 sw=10 sl=64	408	0.249	23,431/33,994/33,994 us	🔴 +8.3% / 🔴 +119.8%
⚪	bs=100 sw=10 sl=64	799	0.488	122,479/147,114/147,114 us	⚪ within ±5% / 🔴 +33.7%
⚪	bs=1000 sw=10 sl=64	923	0.563	1,088,760/1,107,914/1,107,914 us	⚪ within ±5% / 🔴 +7.2%

Baseline details

Latest main de6c31a from same runner

config	metric	PR	latest main	7d avg	Δ latest	Δ 7d
bs=10 sw=10 sl=64	throughput	408 tuples/sec	415 tuples/sec	756.6 tuples/sec	-1.7%	-46.1%
bs=10 sw=10 sl=64	MB/s	0.249 MB/s	0.253 MB/s	0.462 MB/s	-1.6%	-46.1%
bs=10 sw=10 sl=64	p50	23,431 us	21,642 us	13,009 us	+8.3%	+80.1%
bs=10 sw=10 sl=64	p95	33,994 us	35,100 us	15,463 us	-3.2%	+119.8%
bs=10 sw=10 sl=64	p99	33,994 us	35,100 us	18,561 us	-3.2%	+83.1%
bs=100 sw=10 sl=64	throughput	799 tuples/sec	829 tuples/sec	963.83 tuples/sec	-3.6%	-17.1%
bs=100 sw=10 sl=64	MB/s	0.488 MB/s	0.506 MB/s	0.588 MB/s	-3.6%	-17.0%
bs=100 sw=10 sl=64	p50	122,479 us	118,850 us	103,320 us	+3.1%	+18.5%
bs=100 sw=10 sl=64	p95	147,114 us	145,658 us	110,058 us	+1.0%	+33.7%
bs=100 sw=10 sl=64	p99	147,114 us	145,658 us	118,543 us	+1.0%	+24.1%
bs=1000 sw=10 sl=64	throughput	923 tuples/sec	928 tuples/sec	989.07 tuples/sec	-0.5%	-6.7%
bs=1000 sw=10 sl=64	MB/s	0.563 MB/s	0.567 MB/s	0.604 MB/s	-0.7%	-6.7%
bs=1000 sw=10 sl=64	p50	1,088,760 us	1,083,236 us	1,015,599 us	+0.5%	+7.2%
bs=1000 sw=10 sl=64	p95	1,107,914 us	1,160,830 us	1,055,944 us	-4.6%	+4.9%
bs=1000 sw=10 sl=64	p99	1,107,914 us	1,160,830 us	1,086,834 us	-4.6%	+1.9%

Raw CSV

config_idx,batch_size,schema_width,string_len,num_batches,total_ms,total_tuples,total_bytes,tuples_per_sec,mb_per_sec,lat_p50_us,lat_p95_us,lat_p99_us
0,10,10,64,20,490.52,200,128000,408,0.249,23431.22,33993.81,33993.81
1,100,10,64,20,2502.69,2000,1280000,799,0.488,122479.19,147113.70,147113.70
2,1000,10,64,20,21674.22,20000,12800000,923,0.563,1088759.57,1107914.24,1107914.24