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The untrain method had zero test coverage, which was identified in the coverage audit (#48). This adds 11 tests covering: - Basic untrain functionality - Dynamic untrain_* method calls - Effect on classification results - Category count decrements - Word removal when count reaches zero - Partial word removal (multiple occurrences) - Edge case: untraining more than trained - Edge case: untraining non-existent words - Invalid category handling - Category word count updates Coverage improved from 88% to 91% line, 68% to 73% branch. Fixes #50
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Pull request overview
This PR adds comprehensive test coverage for the previously untested Bayes#untrain method, improving line coverage by 3.33% and branch coverage by 4.72%.
Key Changes:
- Added 11 new test cases covering basic functionality, edge cases, and error handling
- Tests verify word count decrements, category updates, and classification impact
- Includes edge case handling for over-untraining and non-existent words
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Re: Copilot's suggestion to change This is incorrect. The Porter stemmer keeps require 'fast-stemmer'
'word'.stem # => "word"
'unique'.stem # => "uniqu"
'apple'.stem # => "appl"The test is correct as written. |
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Summary
Add comprehensive test coverage for the
Bayes#untrainmethod, which previously had zero coverage.Tests Added (11 total)
untrain_*method callsCoverage Improvement
Fixes #50