{"id":115700,"date":"2024-05-12T07:52:13","date_gmt":"2024-05-12T05:52:13","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-nuitka-2-2-kompilyatora-dlya-yazyka-python"},"modified":"2024-05-12T07:52:13","modified_gmt":"2024-05-12T05:52:13","slug":"vypusk-nuitka-2-2-kompilyatora-dlya-yazyka-python","status":"publish","type":"post","link":"https:\/\/prohoster.info\/de\/blog\/novosti-interneta\/vypusk-nuitka-2-2-kompilyatora-dlya-yazyka-python","title":{"rendered":"Ver\u00f6ffentlichung von Nuitka 2.2, einem Compiler f\u00fcr die Programmiersprache Python","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Die Ver\u00f6ffentlichung von Nuitka 2.2 ist verf\u00fcgbar. Dieses Projekt entwickelt einen Compiler, der Python-Skripte in C-Code \u00fcbersetzt, der dann in eine ausf\u00fchrbare Datei kompiliert werden kann, die libpython verwendet, um maximale Kompatibilit\u00e4t mit CPython zu gew\u00e4hrleisten (die Standardwerkzeuge von CPython werden zur Verwaltung von Objekten verwendet). Vollst\u00e4ndige Kompatibilit\u00e4t mit den aktuellen Versionen von Python 2.6, 2.7 und 3.3 bis 3.11 ist gegeben. Im Vergleich zu CPython zeigen die kompilierten Skripte in pystone-Tests eine Leistungssteigerung von 335 %. Der Quellcode des Projekts wird unter der Apache-Lizenz ver\u00f6ffentlicht. <\/p>\n

Die neue Version bietet experimentelle Unterst\u00fctzung f\u00fcr Python 3.12. Unterst\u00fctzung f\u00fcr das JIT-Modul tensorflow wurde hinzugef\u00fcgt. Ein neuer Handler change_class wurde in die Konfiguration aufgenommen, der analog zu change_function es erm\u00f6glicht, die Klassendefinition vollst\u00e4ndig zu ersetzen oder einzelne Platzhalter hinzuzuf\u00fcgen. Die Codegenerierung wurde durch effektiveres Caching beschleunigt. Die M\u00f6glichkeiten des Anti-Bloat-Plugins wurden erweitert, das nun verwendet werden kann, um die Anzahl der Pakete bei Verwendung der Bibliotheken antlr, celery, transformers, tensorflow, deepspeed, imgui_bundle, tf_keras, bokeh zu reduzieren.
\n
Quelle: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u0414\u043e\u0441\u0442\u0443\u043f\u0435\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u043f\u0440\u043e\u0435\u043a\u0442\u0430 Nuitka 2.2, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u043a\u043e\u043c\u043f\u0438\u043b\u044f\u0442\u043e\u0440 \u0434\u043b\u044f \u0442\u0440\u0430\u043d\u0441\u043b\u044f\u0446\u0438\u0438 \u0441\u043a\u0440\u0438\u043f\u0442\u043e\u0432 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0432 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 C, \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0437\u0430\u0442\u0435\u043c \u043c\u043e\u0436\u043d\u043e \u0441\u043a\u043e\u043c\u043f\u0438\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432 \u0438\u0441\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0439 \u0444\u0430\u0439\u043b, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0439 libpython \u0434\u043b\u044f \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u0438 \u0441 CPython (\u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442\u0441\u044f \u0448\u0442\u0430\u0442\u043d\u044b\u0435 \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430 CPython \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u0430\u043c\u0438). \u041e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0430 \u043f\u043e\u043b\u043d\u0430\u044f \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u044c \u0441 \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u043c\u0438 Python 2.6, 2.7, 3.3 — 3.11. \u041f\u043e \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044e \u0441 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-115700","post","type-post","status-publish","format-standard","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Nuitka 2.2 Release, Compiler f\u00fcr Python | ProHoster","description":"Die Version 2.2 des Projekts Nuitka ist verf\u00fcgbar. Nuitka ist ein Compiler, der Skripte in Python in C-Code \u00fcbersetzt, der dann in eine ausf\u00fchrbare Datei kompiliert werden kann, wobei libpython verwendet wird, um maximale Kompatibilit\u00e4t mit CPython zu gew\u00e4hrleisten (die integrierten Werkzeuge von CPython werden zur Verwaltung von Objekten verwendet). Vollst\u00e4ndige Kompatibilit\u00e4t mit den aktuellen Versionen von Python 2.6, 2.7, 3.3 - 3.11 ist sichergestellt. Im Vergleich zu","canonical_url":"https:\/\/prohoster.info\/de\/blog\/novosti-interneta\/vypusk-nuitka-2-2-kompilyatora-dlya-yazyka-python","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"de_DE","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47\u0412\u044b\u043f\u0443\u0441\u043a Nuitka 2.2, \u043a\u043e\u043c\u043f\u0438\u043b\u044f\u0442\u043e\u0440\u0430 \u0434\u043b\u044f \u044f\u0437\u044b\u043a\u0430 Python | ProHoster","og:description":"\u0414\u043e\u0441\u0442\u0443\u043f\u0435\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u043f\u0440\u043e\u0435\u043a\u0442\u0430 Nuitka 2.2, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0435\u0433\u043e \u043a\u043e\u043c\u043f\u0438\u043b\u044f\u0442\u043e\u0440 \u0434\u043b\u044f \u0442\u0440\u0430\u043d\u0441\u043b\u044f\u0446\u0438\u0438 \u0441\u043a\u0440\u0438\u043f\u0442\u043e\u0432 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0432 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 C, \u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0437\u0430\u0442\u0435\u043c \u043c\u043e\u0436\u043d\u043e \u0441\u043a\u043e\u043c\u043f\u0438\u043b\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432 \u0438\u0441\u043f\u043e\u043b\u043d\u044f\u0435\u043c\u044b\u0439 \u0444\u0430\u0439\u043b, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0439 libpython \u0434\u043b\u044f \u043e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0438\u044f \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e\u0439 \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u0438 \u0441 CPython (\u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0442\u0441\u044f \u0448\u0442\u0430\u0442\u043d\u044b\u0435 \u0441\u0440\u0435\u0434\u0441\u0442\u0432\u0430 CPython \u0434\u043b\u044f \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u0430\u043c\u0438). \u041e\u0431\u0435\u0441\u043f\u0435\u0447\u0435\u043d\u0430 \u043f\u043e\u043b\u043d\u0430\u044f \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u0438\u043c\u043e\u0441\u0442\u044c \u0441 \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u043c\u0438 \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u043c\u0438 Python 2.6, 2.7, 3.3 - 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