March 2025
Intermediate to advanced
270 pages
7h 17m
Italian
Content preview from Strumenti Python ipermoderni
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Capitolo 9. Linting con Ruffe pre-commit
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Nel 1978, Stephen C. Johnson, un ricercatore dei Bell Labs, scrisse un programma in grado di rilevare una serie di bug e di oscurità nel codice C. Il programma prese il nome dalla lanugine che si trova sul tuo pullover quando lo tiri fuori dalla lavatrice: Lint. Questo programma sarebbe diventato il primo di una lunga serie di linters, programmi che analizzano il codice sorgente e segnalano i costrutti problematici.
I liner non eseguono un programma per scoprire i problemi di , ma leggono e analizzano il suo codice sorgente. Questo processo è noto come analisi statica, in contrapposizione all'analisiruntime (o dinamica). Questo rende i linters veloci e sicuri: non devi preoccuparti degli effetti collaterali, come le richieste ai sistemi di produzione. I controlli statici possono essere intelligenti e anche abbastanza completi: non è necessario trovare la giusta combinazione di casi limite per scovare un bug latente.
Nota
L'analisi statica è potente, ma devi comunque scrivere dei test per i tuoi programmi. Mentre i controlli statici utilizzano la deduzione, i test utilizzano l'osservazione. I liner verificano un insieme limitato di proprietà generiche del codice, mentre i test possono convalidare che un programma soddisfi i suoi requisiti.
I linter sono anche ottimi per imporre uno stile leggibile e ...
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