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 60.09%. Comparing base (b1c4fd2) to head (7577810).
✅ All tests successful. No failed tests found.

Additional details and impacted files

@@             Coverage Diff              @@
##               main    #5981      +/-   ##
============================================
- Coverage     60.26%   60.09%   -0.18%     
- Complexity     3339     3340       +1     
============================================
  Files          1133     1131       -2     
  Lines         43979    43819     -160     
  Branches       4781     4745      -36     
============================================
- Hits          26503    26332     -171     
- Misses        16021    16067      +46     
+ Partials       1455     1420      -35     

Flag	Coverage Δ		*Carryforward flag
access-control-service	70.00% <ø> (ø)		Carriedforward from 412a76f
agent-service	44.59% <ø> (ø)		Carriedforward from 412a76f
amber	65.53% <ø> (+0.01%)	⬆️	Carriedforward from 412a76f
computing-unit-managing-service	0.00% <ø> (ø)		Carriedforward from 412a76f
config-service	52.30% <ø> (ø)		Carriedforward from 412a76f
file-service	62.81% <ø> (-1.17%)	⬇️	Carriedforward from 412a76f
frontend	51.50% <ø> (-0.48%)	⬇️	Carriedforward from 412a76f
notebook-migration-service	78.57% <ø> (ø)		Carriedforward from 412a76f
pyamber	91.18% <ø> (ø)
workflow-compiling-service	55.14% <ø> (ø)		Carriedforward from 412a76f

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

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[github-actions]

⚠️ Benchmark changes need a look

🟢 2 better · 🔴 3 worse · ⚪ 10 noise (<±5%) · 0 without baseline

Compared against main b1c4fd2 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	394	0.24	24,656/34,926/34,926 us	🔴 +19.9% / 🔴 +127.2%
⚪	bs=100 sw=10 sl=64	913	0.558	108,598/135,847/135,847 us	⚪ within ±5% / 🔴 +27.1%
⚪	bs=1000 sw=10 sl=64	1,095	0.668	918,822/946,846/946,846 us	⚪ within ±5% / 🟢 -9.8%

Baseline details

Latest main b1c4fd2 from same runner

config	metric	PR	latest main	7d avg	Δ latest	Δ 7d
bs=10 sw=10 sl=64	throughput	394 tuples/sec	417 tuples/sec	776.68 tuples/sec	-5.5%	-49.3%
bs=10 sw=10 sl=64	MB/s	0.24 MB/s	0.254 MB/s	0.474 MB/s	-5.5%	-49.4%
bs=10 sw=10 sl=64	p50	24,656 us	20,556 us	12,599 us	+19.9%	+95.7%
bs=10 sw=10 sl=64	p95	34,926 us	41,734 us	15,370 us	-16.3%	+127.2%
bs=10 sw=10 sl=64	p99	34,926 us	41,734 us	18,723 us	-16.3%	+86.5%
bs=100 sw=10 sl=64	throughput	913 tuples/sec	944 tuples/sec	994.07 tuples/sec	-3.3%	-8.2%
bs=100 sw=10 sl=64	MB/s	0.558 MB/s	0.576 MB/s	0.607 MB/s	-3.1%	-8.0%
bs=100 sw=10 sl=64	p50	108,598 us	103,994 us	100,754 us	+4.4%	+7.8%
bs=100 sw=10 sl=64	p95	135,847 us	133,045 us	106,898 us	+2.1%	+27.1%
bs=100 sw=10 sl=64	p99	135,847 us	133,045 us	113,210 us	+2.1%	+20.0%
bs=1000 sw=10 sl=64	throughput	1,095 tuples/sec	1,123 tuples/sec	1,027 tuples/sec	-2.5%	+6.6%
bs=1000 sw=10 sl=64	MB/s	0.668 MB/s	0.685 MB/s	0.627 MB/s	-2.5%	+6.6%
bs=1000 sw=10 sl=64	p50	918,822 us	890,006 us	979,814 us	+3.2%	-6.2%
bs=1000 sw=10 sl=64	p95	946,846 us	935,782 us	1,019,689 us	+1.2%	-7.1%
bs=1000 sw=10 sl=64	p99	946,846 us	935,782 us	1,049,906 us	+1.2%	-9.8%

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
0,10,10,64,20,508.08,200,128000,394,0.240,24655.64,34925.69,34925.69
1,100,10,64,20,2189.49,2000,1280000,913,0.558,108598.10,135847.17,135847.17
2,1000,10,64,20,18267.79,20000,12800000,1095,0.668,918821.54,946845.74,946845.74

[Ma77Ball]

/request-review @Yicong-Huang