{"id":102282,"date":"2021-11-14T15:36:47","date_gmt":"2021-11-14T13:36:47","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/vypusk-nuitka-0-6-17-kompilyatora-dlya-yazyka-python"},"modified":"2021-11-14T15:36:47","modified_gmt":"2021-11-14T13:36:47","slug":"vypusk-nuitka-0-6-17-kompilyatora-dlya-yazyka-python","status":"publish","type":"post","link":"https:\/\/prohoster.info\/de\/blog\/novosti-interneta\/vypusk-nuitka-0-6-17-kompilyatora-dlya-yazyka-python","title":{"rendered":"Die Ver\u00f6ffentlichung von Nuitka 0.6.17, einem Compiler f\u00fcr die Programmiersprache Python.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Version 0.6.17 des Nuitka-Projekts ist verf\u00fcgbar, das einen Compiler entwickelt, um Skripte in Python in C++-Code zu \u00fcbersetzen, der anschlie\u00dfend in eine ausf\u00fchrbare Datei kompiliert werden kann, die libpython zur Gew\u00e4hrleistung maximaler Kompatibilit\u00e4t mit CPython verwendet (die Standardwerkzeuge von CPython werden zur Objektverwaltung genutzt). Vollst\u00e4ndige Kompatibilit\u00e4t mit den aktuellen Versionen von Python 2.6, 2.7, 3.3 \u2013 3.9 ist gegeben. Im Vergleich zu CPython zeigen die kompilierten Skripte in den pystone-Tests eine Leistungssteigerung von 335 %. Der Code des Projekts wird unter der Apache-Lizenz ver\u00f6ffentlicht.     <\/p>\n<p>In der neuen Version wurde experimentelle Unterst\u00fctzung f\u00fcr die Optimierung basierend auf Profilierungsergebnissen (PGO \u2013 Profile-Guided Optimization) hinzugef\u00fcgt, die es erm\u00f6glicht, zur Laufzeit ermittelte Besonderheiten zu ber\u00fccksichtigen. Die Optimierung ist derzeit nur auf Code anwendbar, der mit GCC kompiliert wird. F\u00fcr Plugins besteht die M\u00f6glichkeit, Ressourcen w\u00e4hrend der Kompilierung anzufordern (pkg_resources.require). Die M\u00f6glichkeiten des Anti-Bloat-Plugins wurden erheblich erweitert, sodass es jetzt zur Reduzierung der Anzahl der Pakete bei der Verwendung von Bibliotheken wie numpy, scipy, skimage, pywt und matplotlib eingesetzt werden kann, unter anderem durch das Ausschlie\u00dfen \u00fcberfl\u00fcssiger Funktionen und das Ersetzen erforderlicher Funktionalit\u00e4ten beim Parsen. Der Code, der mit Multithreading, der Klassenbildung, der Attribut\u00fcberpr\u00fcfung und dem Methodenaufruf verbunden ist, wurde optimiert. Die Ausf\u00fchrung von Operationen mit den Typen bytes, str und list wurde beschleunigt.<br \/>\n<br \/>Quelle: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=56152\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u0414\u043e\u0441\u0442\u0443\u043f\u0435\u043d \u0432\u044b\u043f\u0443\u0441\u043a \u043f\u0440\u043e\u0435\u043a\u0442\u0430 Nuitka 0.6.17, \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 &#8212; 3.9. \u041f\u043e \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044e \u0441 [&hellip;]<\/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-102282","post","type-post","status-publish","format-standard","hentry","category-novosti-interneta"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.10 - 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Dieses Tool entwickelt einen Compiler, der Python-Skripte in C++ \u00fcbersetzt, welches dann in eine ausf\u00fchrbare Datei kompiliert werden kann, die libpython verwendet, um maximale Kompatibilit\u00e4t mit CPython zu gew\u00e4hrleisten (es werden die Standardwerkzeuge von CPython zur Objektverwaltung genutzt). Vollst\u00e4ndige Kompatibilit\u00e4t mit den aktuellsten Versionen von Python 2.6, 2.7, 3.3 - 3.9 wurde sichergestellt. 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