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%
Generated
Agent Codex
Scenario 1
Jaro similarity metric
Scenario 2
Levenshtein distance calculation
Scenario 3
Sequence similarity (order-sensitive)
Scenario 4
Apply edit operations to strings
Scenario 5
Set-based median computation
Scenario 6
Hamming distance for equal-length strings
Scenario 7
Find matching blocks between strings
Scenario 8
String similarity ratio
Scenario 9
Inverse edit operations
Scenario 10
Custom edit costs (insertion, deletion, substitution)