feat(counter): distinguish transient vs impulsive anomalies

[ahmadtourei]

This PR extends the counter module to report:

• Impulsive events: isolated single detections.
• Transient events: consecutive/overlapping detections grouped into one event (configurable via max_gap_seconds).
• Raw hits: total matching lines (unchanged from before).

Details

• Adds classify_types=True to output counts and representative lines for impulsive and transient groups.
• Preserves existing behavior; set collapse_transients=True to get a single collapsed count if classification isn’t needed.
• Sorting is based on timestamps parsed from filenames (fallback to basename order when parsing fails).

Example

from das_anomaly.count.counter import CounterConfig, AnomalyCounter

cfg = CounterConfig(keyword="anomaly", classify_types=True, max_gap_seconds=0)
print(AnomalyCounter(cfg).run())

[codecov]

Codecov Report

❌ Patch coverage is 33.33333% with 82 lines in your changes missing coverage. Please review.
✅ Project coverage is 83.18%. Comparing base (913e3d3) to head (0f77c7d).
⚠️ Report is 7 commits behind head on main.

Files with missing lines	Patch %	Lines
das_anomaly/count/counter.py	31.37%	70 Missing ⚠️
das_anomaly/detect/detector.py	36.84%	12 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #18      +/-   ##
==========================================
- Coverage   92.40%   83.18%   -9.23%     
==========================================
  Files          13       13              
  Lines         685      791     +106     
==========================================
+ Hits          633      658      +25     
- Misses         52      133      +81     

Flag	Coverage Δ
python-3.10	83.18% <33.33%> (-9.23%)	⬇️
python-3.11	83.18% <33.33%> (-9.23%)	⬇️
python-3.12	83.18% <33.33%> (-9.23%)	⬇️

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