Examples for Heisenbug 2019
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Updated
Apr 18, 2019 - Jupyter Notebook
Examples for Heisenbug 2019
📈 Implémentation d’un algorithme de machine learning : régression linéaire avec descente de gradient. Le projet prédit le prix d’une voiture selon son kilométrage, avec entraînement (θ0, θ1) sauvegardé en JSON, prédiction en CLI, visualisation, tests, CI/CD et outils qualité.
One function that makes the string matchable
Fork of Mutmut, mutation testing system for Python projects. API mutmut-compatible. Faster using --parallelize option (about 4x). Installable using poetry. Type-checked with mypy. Work in progress but it should work fine. Force push risks!
Hermes Agent plugin that runs mutation testing on Python code by wrapping mutmut. Exposes the mutation_test tool and returns a structured JSON with mutation score, breakdown by category (killed/survived/timeout/...) and a bounded sample of surviving mutants.
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