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pypipkg:pypi/python-levenshtein@0.27.x
tile.json

tessl/pypi-python-levenshtein

tessl install tessl/pypi-python-levenshtein@0.27.0

Python compatibility wrapper for computing string edit distances and similarities using fast Levenshtein algorithms.

Agent Success

Agent success rate when using this tile

88%

Improvement

Agent success rate improvement when using this tile compared to baseline

1.38x

Baseline

Agent success rate without this tile

64%

rubric.jsonevals/scenario-9/

{
  "context": "This criteria evaluates how effectively an engineer uses the Levenshtein package's inverse edit operations capability to implement bidirectional string transformations. It focuses on correct usage of editops(), inverse(), and apply_edit() functions to transform strings and reverse those transformations.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Use editops function",
      "description": "Uses Levenshtein.editops() to compute edit operations from source to target string",
      "max_score": 25
    },
    {
      "name": "Use inverse function",
      "description": "Uses Levenshtein.inverse() to generate inverse edit operations that reverse the transformation",
      "max_score": 30
    },
    {
      "name": "Apply forward transformation",
      "description": "Uses Levenshtein.apply_edit() to apply the forward edit operations to transform source to target",
      "max_score": 20
    },
    {
      "name": "Apply inverse transformation",
      "description": "Uses Levenshtein.apply_edit() with inverse operations to transform target back to source",
      "max_score": 20
    },
    {
      "name": "Validate correctness",
      "description": "Verifies that applying inverse transformation returns the original source string",
      "max_score": 5
    }
  ]
}