egutierrez
eaed99e52c
Agrega funciones Python reutilizables organizadas por dominio: - core: composicion funcional (pipe, compose, map, filter, reduce, etc.) - cybersecurity: analisis de amenazas y puertos - datascience: estadisticas y deteccion de outliers - finance: indicadores tecnicos y analisis financiero
938 B
938 B
name, kind, lang, domain, version, purity, signature, description, tags, uses_functions, uses_types, returns, returns_optional, error_type, imports, tested, tests, test_file_path, file_path
| name | kind | lang | domain | version | purity | signature | description | tags | uses_functions | uses_types | returns | returns_optional | error_type | imports | tested | tests | test_file_path | file_path | |||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| levenshtein_distance | function | py | cybersecurity | 1.0.0 | pure | def levenshtein_distance(a: str, b: str) -> int | Calcula la distancia de Levenshtein (edit distance) entre dos strings. Util para deteccion de typosquatting en dominios. |
|
false | false | python/functions/cybersecurity/cybersecurity.py |
Ejemplo
levenshtein_distance("google.com", "gooogle.com")
# 1
levenshtein_distance("paypal.com", "paypa1.com")
# 1
levenshtein_distance("abc", "abc")
# 0
Notas
Implementacion O(n*m) con optimizacion de espacio (dos filas). Sin dependencias externas. Util para detectar dominios de typosquatting comparando contra dominios legitimos conocidos.