chore(pyamber): remove dead duplicate TimedBuffer

[Ma77Ball]

What changes were proposed in this PR?

• Deleted amber/src/main/python/core/util/console_message/timed_buffer.py, a dead, unreferenced near-duplicate of the live core/util/buffer/timed_buffer.py.
• No other files change: the only live TimedBuffer user, console_message_manager.py, already imports the buffer/ version, and the sibling files in the console_message/ directory (error_message, replace_print, timestamp) remain in use and are untouched.

Any related issues, documentation, discussions?

Closes: #5980

How was this PR tested?

• Pure deletion of unreferenced code, so no test was added or changed. Confirmed dead three ways: grep -rn "console_message.timed_buffer" amber/src returns no importers, there is no __init__ re-export of the module, and no test references it.
• Reviewer can verify with cd amber/src/main/python && grep -rn "console_message.timed_buffer\|console_message import timed_buffer" ., expect zero matches outside the deleted file itself.

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

Co-authored with Claude Opus 4.8 in compliance with ASF

[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 56.62%. Comparing base (24b587f) to head (7ceeeee).

Additional details and impacted files

@@             Coverage Diff              @@
##               main    #5981      +/-   ##
============================================
- Coverage     56.89%   56.62%   -0.27%     
+ Complexity     3058     3040      -18     
============================================
  Files          1129     1129              
  Lines         43802    43802              
  Branches       4743     4743              
============================================
- Hits          24922    24804     -118     
- Misses        17449    17548      +99     
- Partials       1431     1450      +19     

Flag	Coverage Δ		*Carryforward flag
access-control-service	70.00% <ø> (ø)		Carriedforward from 3d7486b
agent-service	44.59% <ø> (ø)		Carriedforward from 3d7486b
amber	58.00% <ø> (-0.66%)	⬇️	Carriedforward from 3d7486b
computing-unit-managing-service	0.00% <ø> (ø)		Carriedforward from 3d7486b
config-service	52.30% <ø> (ø)		Carriedforward from 3d7486b
file-service	62.81% <ø> (ø)		Carriedforward from 3d7486b
frontend	50.09% <ø> (-0.04%)	⬇️	Carriedforward from 3d7486b
notebook-migration-service	78.57% <ø> (ø)		Carriedforward from 3d7486b
pyamber	91.10% <ø> (-0.05%)	⬇️
python	90.69% <ø> (ø)		Carriedforward from 3d7486b
workflow-compiling-service	55.14% <ø> (ø)		Carriedforward from 3d7486b

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

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[github-actions]

✅ No material benchmark regressions detected

🟢 4 better · 🔴 0 worse · ⚪ 11 noise (<±5%) · 0 without baseline

Compared against main 24b587f 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	457	0.279	21,925/27,187/27,187 us	🟢 -5.1% / 🔴 +77.9%
🟢	bs=100 sw=10 sl=64	945	0.577	102,925/132,603/132,603 us	🟢 -6.5% / 🔴 +22.3%
⚪	bs=1000 sw=10 sl=64	1,128	0.688	886,470/941,537/941,537 us	⚪ within ±5% / 🟢 -12.0%

Baseline details

Latest main 24b587f from same runner

config	metric	PR	latest main	7d avg	Δ latest	Δ 7d
bs=10 sw=10 sl=64	throughput	457 tuples/sec	457 tuples/sec	770.95 tuples/sec	0.0%	-40.7%
bs=10 sw=10 sl=64	MB/s	0.279 MB/s	0.279 MB/s	0.471 MB/s	0.0%	-40.7%
bs=10 sw=10 sl=64	p50	21,925 us	21,666 us	12,775 us	+1.2%	+71.6%
bs=10 sw=10 sl=64	p95	27,187 us	28,662 us	15,286 us	-5.1%	+77.9%
bs=10 sw=10 sl=64	p99	27,187 us	28,662 us	18,795 us	-5.1%	+44.7%
bs=100 sw=10 sl=64	throughput	945 tuples/sec	947 tuples/sec	976.93 tuples/sec	-0.2%	-3.3%
bs=100 sw=10 sl=64	MB/s	0.577 MB/s	0.578 MB/s	0.596 MB/s	-0.2%	-3.2%
bs=100 sw=10 sl=64	p50	102,925 us	99,681 us	102,557 us	+3.3%	+0.4%
bs=100 sw=10 sl=64	p95	132,603 us	141,768 us	108,383 us	-6.5%	+22.3%
bs=100 sw=10 sl=64	p99	132,603 us	141,768 us	115,249 us	-6.5%	+15.1%
bs=1000 sw=10 sl=64	throughput	1,128 tuples/sec	1,127 tuples/sec	1,009 tuples/sec	+0.1%	+11.8%
bs=1000 sw=10 sl=64	MB/s	0.688 MB/s	0.688 MB/s	0.616 MB/s	0.0%	+11.7%
bs=1000 sw=10 sl=64	p50	886,470 us	883,386 us	997,695 us	+0.3%	-11.1%
bs=1000 sw=10 sl=64	p95	941,537 us	926,248 us	1,036,731 us	+1.7%	-9.2%
bs=1000 sw=10 sl=64	p99	941,537 us	926,248 us	1,069,334 us	+1.7%	-12.0%

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
0,10,10,64,20,437.27,200,128000,457,0.279,21925.13,27187.10,27187.10
1,100,10,64,20,2115.75,2000,1280000,945,0.577,102924.56,132602.58,132602.58
2,1000,10,64,20,17735.41,20000,12800000,1128,0.688,886470.11,941537.41,941537.41