95959f713c
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
39 lines
938 B
Markdown
39 lines
938 B
Markdown
---
|
|
name: levenshtein_distance
|
|
kind: function
|
|
lang: py
|
|
domain: cybersecurity
|
|
version: "1.0.0"
|
|
purity: pure
|
|
signature: "def levenshtein_distance(a: str, b: str) -> int"
|
|
description: "Calcula la distancia de Levenshtein (edit distance) entre dos strings. Util para deteccion de typosquatting en dominios."
|
|
tags: [levenshtein, distance, fuzzy, typosquatting, python]
|
|
uses_functions: []
|
|
uses_types: []
|
|
returns: []
|
|
returns_optional: false
|
|
error_type: ""
|
|
imports: []
|
|
tested: false
|
|
tests: []
|
|
test_file_path: ""
|
|
file_path: "python/functions/cybersecurity/cybersecurity.py"
|
|
---
|
|
|
|
## Ejemplo
|
|
|
|
```python
|
|
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.
|