November 2024
Intermediate to advanced
270 pages
7h 37m
French
Content preview from Outillage Python hypermoderne
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Chapitre 9. La mise en place de la charpie avec Ruffet pre-commit
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En 1978, Stephen C. Johnson, chercheur aux laboratoires Bell, a écrit un programme capable de détecter un certain nombre de bogues et d'obscurités dans le code C. Il a nommé le programme d'après les peluches de ton pull-over lorsque tu le sors de la machine à laver : Lint. Ce programme allait devenir le premier d'une longue lignée de linters, des programmes qui analysent le code source et signalent les constructions problématiques.
Les linters n'exécutent pas un programme pour en découvrir les problèmes sur ; ils lisent et analysent son code source. Ce processus est connu sous le nom d'analyse statique, par opposition à l'analyse dynamique. Il rend les linters à la fois rapides et sûrs - tu n'as pas à t'inquiéter des effets secondaires, tels que les demandes adressées aux systèmes de production. Les vérifications statiques peuvent être intelligentes et assez complètes - il n'est pas nécessaire de trouver la bonne combinaison de cas limites pour déterrer un bogue latent.
Note
L'analyse statique est puissante, mais tu dois quand même écrire des tests pour tes programmes. Là où les vérifications statiques utilisent la déduction, les tests utilisent l'observation. Les linters vérifient un ensemble limité de propriétés génériques du code, tandis que les tests peuvent valider qu'un programme ...
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