tessl install tessl/pypi-python-levenshtein@0.27.0Python 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%
{
"context": "This criteria evaluates how well the engineer uses the Levenshtein package to implement a consensus string finder. The focus is on proper usage of the set-based median computation functionality provided by the package.",
"type": "weighted_checklist",
"checklist": [
{
"name": "Imports Levenshtein package",
"description": "The solution imports the Levenshtein package (e.g., 'import Levenshtein' or 'from Levenshtein import setmedian')",
"max_score": 15
},
{
"name": "Uses setmedian function",
"description": "The solution correctly uses the Levenshtein.setmedian() function to compute the consensus string from the input collection",
"max_score": 50
},
{
"name": "Handles empty input",
"description": "The solution properly handles empty list input, returning an empty string or appropriate value without crashing",
"max_score": 10
},
{
"name": "Handles single string",
"description": "The solution correctly handles input with a single string, returning that string as the consensus",
"max_score": 10
},
{
"name": "Correct function signature",
"description": "The function accepts a list/collection of strings as input and returns a single string as specified in the API",
"max_score": 15
}
]
}