Release v3.1.1

[rossarmstrong]

Bug Fixes

• Fixed IndexError in wer, wers, werp, werps, summary, and summaryp functions when processing single string inputs. The issue occurred due to incorrect handling of np.vectorize return values, which produce different array structures for single versus batch inputs (0-dimensional arrays for single strings, 1-dimensional object arrays for lists). The fix unwraps 0-dimensional arrays and uses element-type checking to distinguish between single example vectors and batch processing scenarios.

• Improved handling of ragged data structures in batch processing by implementing direct field summation instead of transpose operations. This prevents errors when processing mixed scalar and list data in the word error rate breakdown results.

Enhancements

• Added comprehensive benchmarking infrastructure to compare performance against werx and jiwer packages using the LibriSpeech evaluation dataset.

• Added optional dependencies groups in pyproject.toml for testing and benchmarking workflows, enabling easier development environment setup.

[codecov]

Codecov Report

❌ Patch coverage is 70.17544% with 51 lines in your changes missing coverage. Please review.
✅ Project coverage is 88.79%. Comparing base (7cc90e9) to head (b2c9836).

Files with missing lines	Patch %	Lines
werpy/summaryp.py	61.90%	16 Missing ⚠️
werpy/werps.py	63.15%	14 Missing ⚠️
werpy/werp.py	73.68%	10 Missing ⚠️
werpy/wer.py	80.00%	4 Missing ⚠️
werpy/wers.py	76.47%	4 Missing ⚠️
werpy/summary.py	81.25%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main      #37      +/-   ##
==========================================
- Coverage   92.21%   88.79%   -3.43%     
==========================================
  Files          16       16              
  Lines         347      464     +117     
==========================================
+ Hits          320      412      +92     
- Misses         27       52      +25     

Flag	Coverage Δ
unittests	88.79% <70.17%> (-3.43%)	⬇️

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