feat(pyamber): reject empty tuples

[carloea2]

What changes were proposed in this PR?

Replace the removable empty-tuple assert with an explicit ValueError.

Existing coverage for empty lists, dictionaries, and pandas Series now verifies the stable exception, including optimized Python.

Any related issues, documentation, discussions?

Closes #8217

How was this PR tested?

python -c "import sys,pytest; sys.path[:0]=[r'<worktree>ambersrcmainpython',r'<main-checkout>ambersrcmainpython']; raise SystemExit(pytest.main([r'amber/src/test/python/core/models/test_tuple.py','-q','-p','no:cacheprovider','-k','not test_hash']))"
101 passed, 2 deselected

python -O -c "import sys,pytest; sys.path[:0]=[r'<worktree>ambersrcmainpython',r'<main-checkout>ambersrcmainpython']; raise SystemExit(pytest.main([r'amber/src/test/python/core/models/test_tuple.py::TestTuple::test_reject_empty_tuplelike','-q','-p','no:cacheprovider']))"
1 passed

ruff check amber/src/main/python amber/src/test/python
All checks passed

ruff format --check amber/src/main/python amber/src/test/python
213 files already formatted

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

Generated-by: Codex

[github-actions]

Backport auto-label report

This fix: PR was checked against each actively-supported release branch. release/* labels drive the post-merge backport, so add or remove one to change where this fix lands.

Release branch	Analysis
⚠️ release/v1.3	Not labeled automatically — none of the files this PR modifies exist on this branch (amber/src/main/python/core/models/tuple.py, amber/src/test/python/core/models/test_tuple.py). The fix may target code that isn't on this release, or the files were moved/renamed after the branch was cut. Please check and add release/v1.3 by hand if this fix should be backported here.
✅ release/v1.2	Change detected on this branch — label added; this fix is queued to backport here. Requested review from @xuang7.

Auto-label run.

[github-actions]

Automated Reviewer Suggestions

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

• Contributors with relevant context: @eugenegujing, @aglinxinyuan
  You can notify them by mentioning @eugenegujing, @aglinxinyuan in a comment.

[codecov-commenter]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 93.91%. Comparing base (70c2114) to head (2f821a8).
⚠️ Report is 12 commits behind head on main.

Additional details and impacted files

@@             Coverage Diff              @@
##               main    #8218      +/-   ##
============================================
- Coverage     93.94%   93.91%   -0.04%     
  Complexity     4759     4759              
============================================
  Files          1185     1185              
  Lines         48069    48813     +744     
  Branches       5359     5359              
============================================
+ Hits          45159    45841     +682     
- Misses         1480     1542      +62     
  Partials       1430     1430              

Flag	Coverage Δ		*Carryforward flag
access-control-service	81.00% <ø> (ø)		Carriedforward from 70c2114
agent-service	99.32% <ø> (ø)		Carriedforward from 70c2114
amber	89.99% <ø> (ø)		Carriedforward from 70c2114
computing-unit-managing-service	73.67% <ø> (ø)		Carriedforward from 70c2114
config-service	86.86% <ø> (ø)		Carriedforward from 70c2114
file-service	87.91% <ø> (ø)		Carriedforward from 70c2114
frontend	96.49% <ø> (ø)		Carriedforward from 70c2114
notebook-migration-service	79.31% <ø> (ø)		Carriedforward from 70c2114
pyamber	97.87% <100.00%> (-1.01%)	⬇️
workflow-compiling-service	77.19% <ø> (ø)		Carriedforward from 70c2114

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

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• 📦 JS Bundle Analysis: Save yourself from yourself by tracking and limiting bundle sizes in JS merges.

[github-actions]

✅ No material benchmark regressions detected

🟢 9 better · 🔴 0 worse · ⚪ 6 noise (<±5%) · 0 without baseline

Compared against main 70c2114 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	380	0.232	24,707/35,318/35,318 us	🟢 -41.1% / 🔴 +126.7%
🟢	bs=100 sw=10 sl=64	786	0.479	126,886/153,439/153,439 us	🟢 -20.6% / 🔴 +43.1%
🟢	bs=1000 sw=10 sl=64	902	0.55	1,109,632/1,149,802/1,149,802 us	🟢 -6.9% / 🔴 -13.5%

Baseline details

Latest main 70c2114 from same runner

config	metric	PR	latest main	7d avg	Δ latest	Δ 7d
bs=10 sw=10 sl=64	throughput	380 tuples/sec	317 tuples/sec	787.98 tuples/sec	+19.9%	-51.8%
bs=10 sw=10 sl=64	MB/s	0.232 MB/s	0.193 MB/s	0.481 MB/s	+20.2%	-51.8%
bs=10 sw=10 sl=64	p50	24,707 us	31,974 us	12,593 us	-22.7%	+96.2%
bs=10 sw=10 sl=64	p95	35,318 us	59,930 us	15,579 us	-41.1%	+126.7%
bs=10 sw=10 sl=64	p99	35,318 us	59,930 us	18,786 us	-41.1%	+88.0%
bs=100 sw=10 sl=64	throughput	786 tuples/sec	787 tuples/sec	1,008 tuples/sec	-0.1%	-22.0%
bs=100 sw=10 sl=64	MB/s	0.479 MB/s	0.48 MB/s	0.615 MB/s	-0.2%	-22.1%
bs=100 sw=10 sl=64	p50	126,886 us	121,223 us	100,701 us	+4.7%	+26.0%
bs=100 sw=10 sl=64	p95	153,439 us	193,255 us	107,244 us	-20.6%	+43.1%
bs=100 sw=10 sl=64	p99	153,439 us	193,255 us	116,122 us	-20.6%	+32.1%
bs=1000 sw=10 sl=64	throughput	902 tuples/sec	914 tuples/sec	1,042 tuples/sec	-1.3%	-13.4%
bs=1000 sw=10 sl=64	MB/s	0.55 MB/s	0.558 MB/s	0.636 MB/s	-1.4%	-13.5%
bs=1000 sw=10 sl=64	p50	1,109,632 us	1,095,694 us	981,959 us	+1.3%	+13.0%
bs=1000 sw=10 sl=64	p95	1,149,802 us	1,234,863 us	1,023,080 us	-6.9%	+12.4%
bs=1000 sw=10 sl=64	p99	1,149,802 us	1,234,863 us	1,051,697 us	-6.9%	+9.3%

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
0,10,10,64,20,526.93,200,128000,380,0.232,24707.20,35318.40,35318.40
1,100,10,64,20,2545.85,2000,1280000,786,0.479,126885.97,153439.09,153439.09
2,1000,10,64,20,22176.51,20000,12800000,902,0.550,1109631.99,1149802.10,1149802.10