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- .claude/CLAUDE.md - .claude/commands/subagentes.md - .claude/rules/INDEX.md - .mcp.json - bash/functions/cybersecurity/analyze_dns.md - bash/functions/cybersecurity/audit_http_headers.md - bash/functions/cybersecurity/audit_ssh_config.md - bash/functions/cybersecurity/check_firewall.md - bash/functions/cybersecurity/detect_suspicious_users.md - bash/functions/cybersecurity/encrypt_file.md - ... Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
45 lines
1.1 KiB
Markdown
45 lines
1.1 KiB
Markdown
---
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name: jaccard_similarity
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kind: function
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lang: py
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domain: cybersecurity
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version: "1.0.0"
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purity: pure
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signature: "def jaccard_similarity(a: list, b: list) -> float"
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description: "Calcula el coeficiente de similitud de Jaccard entre dos listas. J(A,B) = |A interseccion B| / |A union B|."
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tags: [jaccard, similarity, comparison, sets, python, pendiente-usar]
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uses_functions: []
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uses_types: []
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returns: []
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returns_optional: false
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error_type: ""
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imports: []
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params:
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- name: a
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desc: "primera lista para comparacion"
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- name: b
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desc: "segunda lista para comparacion"
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output: "coeficiente float de similitud de Jaccard entre 0.0 y 1.0"
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tested: false
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tests: []
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test_file_path: ""
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file_path: "python/functions/cybersecurity/cybersecurity.py"
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---
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## Ejemplo
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```python
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jaccard_similarity(["a", "b", "c"], ["b", "c", "d"])
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# 0.5
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jaccard_similarity(["a", "b"], ["a", "b"])
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# 1.0
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jaccard_similarity([], [])
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# 0.0
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```
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## Notas
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Convierte las listas a sets internamente. Retorna 0.0 si ambas listas son vacias. Util para comparar conjuntos de tokens, features de malware, IoCs compartidos entre muestras, o tags de vulnerabilidades.
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