. . . "PyPy\uB294 \uC720\uC5F0\uD568\uACFC \uC26C\uC6B4 \uC2E4\uD5D8\uC744 \uC704\uD574 \uD30C\uC774\uC36C \uD504\uB85C\uADF8\uB798\uBC0D \uC5B8\uC5B4 \uC790\uCCB4\uB85C \uC791\uC131\uB41C \uD30C\uC774\uC36C \uAD6C\uD604\uCCB4\uC774\uB2E4. \uC774 \uD504\uB85C\uC81D\uD2B8\uC758 \uBAA9\uC801 \uC911 \uD558\uB098\uB294 \uCD5C\uC801\uD654\uB41C PyPy\uC758 \uD30C\uC774\uC36C \uAD6C\uD604\uC774 \uD604\uC7AC\uC758 C \uAD6C\uD604\uBCF4\uB2E4 \uBE60\uB974\uB3C4\uB85D \uD558\uB294 \uAC83\uC774\uB2E4. PyPy \uC790\uCCB4\uB294 \uD30C\uC774\uC36C \uC5B8\uC5B4\uC758 \uBD80\uBD84\uC9D1\uD569\uC778 RPython\uC73C\uB85C \uAD6C\uD604\uB418\uC5B4 \uC788\uB2E4. PyPy\uB294 \uD30C\uC774\uC36C \uCF54\uB4DC\uB97C \uAE30\uACC4\uC5B4\uB098 \uB2E4\uB978 \uC800\uAE09 \uC5B8\uC5B4\uB85C \uC790\uB3D9 \uBC88\uC5ED\uD558\uB294 \uC800\uC2A4\uD2B8 \uC778 \uD0C0\uC784 \uCEF4\uD30C\uC77C\uB7EC \uAE30\uB2A5\uC744 \uD3EC\uD568\uD558\uACE0 \uC788\uB294\uB370, \uD2B9\uC774\uD55C \uC810\uC740 JIT \uCEF4\uD30C\uC77C\uB7EC \uC790\uCCB4\uAC00 JIT \uCEF4\uD30C\uC77C\uB7EC \uC0DD\uC131\uAE30\uB85C\uBD80\uD130 \u2014 PyPy RPython \uCF54\uB4DC\uB97C \uBD84\uC11D\uD558\uC5EC \u2014 \uC790\uB3D9\uC0DD\uC131\uB41C\uB2E4\uB294 \uC810\uC774\uB2E4. \uBCA4\uCE58\uB9C8\uD06C \uB300\uC0C1\uC5D0 \uB530\uB77C \uB2E4\uB974\uAE34 \uD558\uC9C0\uB9CC PyPy 1.4 \uBC84\uC804\uBD80\uD130 CPython\uBCF4\uB2E4 \uB098\uC740 \uC131\uB2A5\uC744 \uBCF4\uC778\uB2E4. \uC608\uB97C \uB4E4\uC5B4, PyPy 1.4\uB294 PyPy \uC790\uCCB4\uB97C \uCEF4\uD30C\uC77C \uD558\uB294 \uCF54\uB4DC\uAC00 CPython\uBCF4\uB2E4 PyPy\uC5D0\uC11C \uB354 \uBE60\uB974\uAC8C \uB3CC\uC544\uAC00\uB294 \uCCAB \uBC88\uC9F8 \uBC84\uC804\uC774\uB2E4."@ko . . "PyPy"@en . . . . . "PyPy\uFF08/\u02C8pa\u026Apa\u026A/\uFF09\u662F\u4E00\u79CDPython\u7F16\u7A0B\u8BED\u8A00\u5B9E\u73B0\uFF0C\u53EF\u7528\u4E8E\u66FF\u4EE3CPython\uFF08\u5B83\u662F\u6807\u51C6\u5B9E\u73B0\uFF09\u3002PyPy\u901A\u5E38\u8FD0\u884C\u5F97\u6BD4CPython\u66F4\u5FEB\uFF0C\u56E0\u4E3APyPy\u662F\u4E00\u79CD\u5373\u65F6\u7F16\u8BD1\u5668\uFF0C\u800CCPython\u662F\u4E00\u79CD\u89E3\u91CA\u5668\u3002\u591A\u6570Python\u4EE3\u7801\u53EF\u4EE5\u5F88\u597D\u7684\u8FD0\u884C\u5728PyPy\u4E4B\u4E0A\uFF0C\u9664\u975E\u4EE3\u7801\u4F9D\u8D56\u4E8ECPython\u6269\u5C55\uFF0C\u5B83\u4EEC\u5728\u8FD0\u884C\u4E8EPyPy\u7684\u65F6\u5019\uFF0C\u8981\u4E48\u4E0D\u5DE5\u4F5C\u8981\u4E48\u62DB\u81F4\u4E00\u4E9B\u5F00\u9500\u3002PyPy\u5728\u5185\u90E8\u4F7F\u7528\u53EB\u505A\u5143\u8DDF\u8E2A\u7684\u6280\u672F\uFF0C\u5B83\u5C06\u89E3\u91CA\u5668\u53D8\u6362\u6210\u3002\u56E0\u4E3A\u89E3\u91CA\u901A\u5E38\u6BD4\u7F16\u8BD1\u5668\u8981\u5BB9\u6613\u5199\uFF0C\u4F46\u8FD0\u884C\u5F97\u66F4\u6162\uFF0C\u8FD9\u79CD\u6280\u672F\u53EF\u4EE5\u66F4\u5BB9\u6613\u7684\u4EA7\u751F\u51FA\u7F16\u7A0B\u8BED\u8A00\u7684\u9AD8\u6548\u5B9E\u73B0\u3002PyPy\u7684\u5143\u8DDF\u8E2A\u5DE5\u5177\u94FE\u53EB\u505A\u3002 PyPy\u4E0D\u5B8C\u5168\u517C\u5BB9\u4E8EPython\uFF08\u81F3\u5C11\u6700\u8FD1\u7248\u672C\u7684\uFF09\u751F\u6001\u7CFB\u7EDF\uFF1A\u5B83\u7684\u6700\u65B0\u53D1\u884C\u7248\u672CPyPy 2.7\u30013.7\u30013.8\u548Cbeta\u7248\u76843.9\uFF0C\u5206\u522B\u517C\u5BB9\u4E8E\u76F8\u5E94\u7684CPython\u7248\u672C\u3002"@zh . "PyPy"@en . "16059"^^ . . . "2564605"^^ . . "PyPy ist ein Just-in-time-Compiler f\u00FCr die Programmiersprache Python, der selbst in Python geschrieben ist. Da die Programmierer mit einer Python-Implementierung in Python selbst (und nicht in C, wie dies bei der Referenzimplementierung CPython der Fall ist) experimentieren k\u00F6nnen, macht PyPy es einfacher, Bereiche zu finden, in denen die Python-Implementierung verbessert werden kann. Dar\u00FCber hinaus erlaubt PyPy den Entwicklern durch seine Flexibilit\u00E4t, mit mehreren Implementierungen eines speziellen Features zu experimentieren. Eines der Ziele des Projektes war es, einen Python-Interpreter zu entwickeln, der schneller als CPython ist, was im M\u00E4rz 2008 erstmals gelang. Mittlerweile ist PyPy in einer \u00FCberwiegenden Zahl von Benchmarks schneller als CPython \u2013 und in Sonderf\u00E4llen sogar schnell"@de . . . . . . . . . . . . . . "PyPy \u00E9s un int\u00E8rpret i per al llenguatge Python, enfocat a la velocitat i l'efici\u00E8ncia, i \u00E9s 100% compatible amb l'int\u00E8rpret original CPython."@ca . . . . . . . . "PyPy\uB294 \uC720\uC5F0\uD568\uACFC \uC26C\uC6B4 \uC2E4\uD5D8\uC744 \uC704\uD574 \uD30C\uC774\uC36C \uD504\uB85C\uADF8\uB798\uBC0D \uC5B8\uC5B4 \uC790\uCCB4\uB85C \uC791\uC131\uB41C \uD30C\uC774\uC36C \uAD6C\uD604\uCCB4\uC774\uB2E4. \uC774 \uD504\uB85C\uC81D\uD2B8\uC758 \uBAA9\uC801 \uC911 \uD558\uB098\uB294 \uCD5C\uC801\uD654\uB41C PyPy\uC758 \uD30C\uC774\uC36C \uAD6C\uD604\uC774 \uD604\uC7AC\uC758 C \uAD6C\uD604\uBCF4\uB2E4 \uBE60\uB974\uB3C4\uB85D \uD558\uB294 \uAC83\uC774\uB2E4. PyPy \uC790\uCCB4\uB294 \uD30C\uC774\uC36C \uC5B8\uC5B4\uC758 \uBD80\uBD84\uC9D1\uD569\uC778 RPython\uC73C\uB85C \uAD6C\uD604\uB418\uC5B4 \uC788\uB2E4. PyPy\uB294 \uD30C\uC774\uC36C \uCF54\uB4DC\uB97C \uAE30\uACC4\uC5B4\uB098 \uB2E4\uB978 \uC800\uAE09 \uC5B8\uC5B4\uB85C \uC790\uB3D9 \uBC88\uC5ED\uD558\uB294 \uC800\uC2A4\uD2B8 \uC778 \uD0C0\uC784 \uCEF4\uD30C\uC77C\uB7EC \uAE30\uB2A5\uC744 \uD3EC\uD568\uD558\uACE0 \uC788\uB294\uB370, \uD2B9\uC774\uD55C \uC810\uC740 JIT \uCEF4\uD30C\uC77C\uB7EC \uC790\uCCB4\uAC00 JIT \uCEF4\uD30C\uC77C\uB7EC \uC0DD\uC131\uAE30\uB85C\uBD80\uD130 \u2014 PyPy RPython \uCF54\uB4DC\uB97C \uBD84\uC11D\uD558\uC5EC \u2014 \uC790\uB3D9\uC0DD\uC131\uB41C\uB2E4\uB294 \uC810\uC774\uB2E4. \uBCA4\uCE58\uB9C8\uD06C \uB300\uC0C1\uC5D0 \uB530\uB77C \uB2E4\uB974\uAE34 \uD558\uC9C0\uB9CC PyPy 1.4 \uBC84\uC804\uBD80\uD130 CPython\uBCF4\uB2E4 \uB098\uC740 \uC131\uB2A5\uC744 \uBCF4\uC778\uB2E4. \uC608\uB97C \uB4E4\uC5B4, PyPy 1.4\uB294 PyPy \uC790\uCCB4\uB97C \uCEF4\uD30C\uC77C \uD558\uB294 \uCF54\uB4DC\uAC00 CPython\uBCF4\uB2E4 PyPy\uC5D0\uC11C \uB354 \uBE60\uB974\uAC8C \uB3CC\uC544\uAC00\uB294 \uCCAB \uBC88\uC9F8 \uBC84\uC804\uC774\uB2E4."@ko . . . . . . "PyPy"@pt . "PyPy is een alternatieve implementatie van de programmeertaal Python. In tegenstelling tot de standaardimplementatie van Python, , die gebruik maakt van een interpreter, gebruikt PyPy just-in-time-compilatie. In veel gevallen zorgt dit voor een snellere uitvoering. Net zoals Python zelf, is PyPy een opensourceproject."@nl . . "PyPy"@pl . "PyPy\uFF08/\u02C8pa\u026Apa\u026A/\uFF09\u662F\u4E00\u79CDPython\u7F16\u7A0B\u8BED\u8A00\u5B9E\u73B0\uFF0C\u53EF\u7528\u4E8E\u66FF\u4EE3CPython\uFF08\u5B83\u662F\u6807\u51C6\u5B9E\u73B0\uFF09\u3002PyPy\u901A\u5E38\u8FD0\u884C\u5F97\u6BD4CPython\u66F4\u5FEB\uFF0C\u56E0\u4E3APyPy\u662F\u4E00\u79CD\u5373\u65F6\u7F16\u8BD1\u5668\uFF0C\u800CCPython\u662F\u4E00\u79CD\u89E3\u91CA\u5668\u3002\u591A\u6570Python\u4EE3\u7801\u53EF\u4EE5\u5F88\u597D\u7684\u8FD0\u884C\u5728PyPy\u4E4B\u4E0A\uFF0C\u9664\u975E\u4EE3\u7801\u4F9D\u8D56\u4E8ECPython\u6269\u5C55\uFF0C\u5B83\u4EEC\u5728\u8FD0\u884C\u4E8EPyPy\u7684\u65F6\u5019\uFF0C\u8981\u4E48\u4E0D\u5DE5\u4F5C\u8981\u4E48\u62DB\u81F4\u4E00\u4E9B\u5F00\u9500\u3002PyPy\u5728\u5185\u90E8\u4F7F\u7528\u53EB\u505A\u5143\u8DDF\u8E2A\u7684\u6280\u672F\uFF0C\u5B83\u5C06\u89E3\u91CA\u5668\u53D8\u6362\u6210\u3002\u56E0\u4E3A\u89E3\u91CA\u901A\u5E38\u6BD4\u7F16\u8BD1\u5668\u8981\u5BB9\u6613\u5199\uFF0C\u4F46\u8FD0\u884C\u5F97\u66F4\u6162\uFF0C\u8FD9\u79CD\u6280\u672F\u53EF\u4EE5\u66F4\u5BB9\u6613\u7684\u4EA7\u751F\u51FA\u7F16\u7A0B\u8BED\u8A00\u7684\u9AD8\u6548\u5B9E\u73B0\u3002PyPy\u7684\u5143\u8DDF\u8E2A\u5DE5\u5177\u94FE\u53EB\u505A\u3002 PyPy\u4E0D\u5B8C\u5168\u517C\u5BB9\u4E8EPython\uFF08\u81F3\u5C11\u6700\u8FD1\u7248\u672C\u7684\uFF09\u751F\u6001\u7CFB\u7EDF\uFF1A\u5B83\u7684\u6700\u65B0\u53D1\u884C\u7248\u672CPyPy 2.7\u30013.7\u30013.8\u548Cbeta\u7248\u76843.9\uFF0C\u5206\u522B\u517C\u5BB9\u4E8E\u76F8\u5E94\u7684CPython\u7248\u672C\u3002"@zh . "PyPy"@ru . "May 2013"@en . . . . . . . . . . . . . "Pypy logo .png"@en . . . . . . "PyPy \u00E8 un interprete Python e un compilatore JIT. \u00C8 compatibile con l'interprete . PyPy \u00E8 stato finanziato dall'Unione europea come Progetto obiettivo di Ricerca. PyPy \u00E8 iniziato come un interprete Python scritto nello stesso linguaggio Python. Attualmente, le versioni di PyPy vengono tradotte da RPython in codice C e compilate. Il compiler JIT di PyPy \u00E8 capace di trasformare codice Python in codice macchina a runtime."@it . "PyPy adalah interpreter bahasa pemrograman python yang ditulis dengan Python dan dilengkapi dengan kompiler JIT (just in time). Pengembangan PyPy berfokus pada kecepatan unjuk kerja program, efisiensi, serta menjaga kompatibilitas dengan interpreter CPython. Dengan menggunakan Python dalam pengembangan PyPy, para pengembang PyPy memungkinkan melakukan hacking atas implementasinya serta mengidentifikasi area mana saja yang memerlukan perbaikan. Faktanya saat ini PyPy diimplementasikan sebagai bahasa tingkat tinggi membuatnya lebih fleksibel dan lebih mudah dalam bereksperimen bila dibandingkan dengan CPython, dan juga memungkinkan pengembangnya bereksperimen atas beberapa bentuk implementasi atas fitur-fitur spesifik tertentu."@in . . "PyPy"@nl . . "PyPy \u00E9 uma implementa\u00E7\u00E3o alternativa da linguagem Python a CPython, que \u00E9 a implementa\u00E7\u00E3o padr\u00E3o de Python. PyPy frequentemente roda mais r\u00E1pido que que CPython, por usar uma JIT (Just In Time), enquanto CPython \u00E9 interpretada. A maior parte do c\u00F3digo Python roda bem na PyPy, com exce\u00E7\u00E3o de c\u00F3digo que depende de extens\u00F5es da CPython, que ou n\u00E3o funcionam ou causam algum overhead quando rodam na PyPy. Funcionalmente, PyPy \u00E9 projetada em torno de uma t\u00E9cnica conhecida como meta-tracing, que transforma um interpretador num JIT. J\u00E1 que interpretadores s\u00E3o mais f\u00E1ceis de escrever que compiladores, mas rodam mais lentamente, essa t\u00E9cnica torna mais f\u00E1cil produzir uma implementa\u00E7\u00E3o eficiente de linguagens de programa\u00E7\u00E3o. O toolchain meta-tracing usado pelo PyPy \u00E9 chamado de ."@pt . . . "PyPy"@zh . . . "PyPy \u2014 \u0440\u0435\u0430\u043B\u0456\u0437\u0430\u0446\u0456\u044F \u043C\u043E\u0432\u0438 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u0443\u0432\u0430\u043D\u043D\u044F Python, \u0456\u043D\u0442\u0435\u0440\u043F\u0440\u0435\u0442\u0430\u0442\u043E\u0440 \u0442\u0430 JIT-\u043A\u043E\u043C\u043F\u0456\u043B\u044F\u0442\u043E\u0440, \u043D\u0430\u043F\u0438\u0441\u0430\u043D\u0456 \u043D\u0430 \u043C\u043E\u0432\u0456 Python (\u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u043E\u0432\u0443\u0454\u0442\u044C\u0441\u044F \u0441\u0442\u0430\u0442\u0438\u0447\u043D\u043E \u0442\u0438\u043F\u0456\u0437\u043E\u0432\u0430\u043D\u0430 \u043F\u0456\u0434\u043C\u043D\u043E\u0436\u0438\u043D\u0430 RPython, Restricted Python). \u041F\u0440\u043E\u0435\u043A\u0442 \u043C\u0430\u0454 \u0437\u0430 \u043C\u0435\u0442\u0443 \u0448\u0432\u0438\u0434\u043A\u043E\u0434\u0456\u044E, \u0435\u0444\u0435\u043A\u0442\u0438\u0432\u043D\u0456\u0441\u0442\u044C \u0442\u0430 100 % \u0441\u0443\u043C\u0456\u0441\u043D\u0456\u0441\u0442\u044C \u0437 \u043A\u043B\u0430\u0441\u0438\u0447\u043D\u043E\u044E \u0440\u0435\u0430\u043B\u0456\u0437\u0430\u0446\u0456\u0454\u044E Python \u043D\u0430 \u043C\u043E\u0432\u0456 \u0421\u0456 \u2014 CPython."@uk . . . . . . "PyPy"@de . . "PyPy"@uk . "PyPy es un int\u00E9rprete y compilador JIT para el lenguaje Python, que se enfoca en la velocidad y eficiencia, y es 100% compatible con el int\u00E9rprete original CPython."@es . . . "PyPy \u2014 \u0438\u043D\u0442\u0435\u0440\u043F\u0440\u0435\u0442\u0430\u0442\u043E\u0440 \u044F\u0437\u044B\u043A\u0430 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u0438\u0440\u043E\u0432\u0430\u043D\u0438\u044F Python. PyPy \u0432 \u043D\u0430\u0447\u0430\u043B\u0435 \u0441\u0432\u043E\u0435\u0433\u043E \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u043E\u0432\u0430\u043D\u0438\u044F \u0431\u044B\u043B \u0438\u043D\u0442\u0435\u0440\u043F\u0440\u0435\u0442\u0430\u0442\u043E\u0440\u043E\u043C Python, \u043D\u0430\u043F\u0438\u0441\u0430\u043D\u043D\u044B\u043C \u043D\u0430 Python. \u0422\u0435\u043A\u0443\u0449\u0438\u0435 \u0432\u0435\u0440\u0441\u0438\u0438 PyPy \u0442\u0440\u0430\u043D\u0441\u043B\u0438\u0440\u0443\u044E\u0442\u0441\u044F \u0438\u0437 RPython \u0432 \u0421\u0438 \u0438 \u043A\u043E\u043C\u043F\u0438\u043B\u0438\u0440\u0443\u044E\u0442\u0441\u044F. \u0412 PyPy \u0432\u0441\u0442\u0440\u043E\u0435\u043D JIT-\u043A\u043E\u043C\u043F\u0438\u043B\u044F\u0442\u043E\u0440, \u043A\u043E\u0442\u043E\u0440\u044B\u0439 \u043C\u043E\u0436\u0435\u0442 \u043F\u0440\u0435\u0432\u0440\u0430\u0449\u0430\u0442\u044C \u043A\u043E\u0434 \u043D\u0430 Python \u0432 \u043C\u0430\u0448\u0438\u043D\u043D\u044B\u0439 \u043A\u043E\u0434 \u0432\u043E \u0432\u0440\u0435\u043C\u044F \u0432\u044B\u043F\u043E\u043B\u043D\u0435\u043D\u0438\u044F \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u044B."@ru . "\u0628\u0627\u064A \u0628\u0627\u064A"@ar . "\u0628\u0627\u064A \u0628\u0627\u064A (\u0628\u0627\u0644\u0625\u0646\u062C\u0644\u064A\u0632\u064A\u0629: PyPy)\u200F \u0647\u0648 \u062A\u0637\u0628\u064A\u0642 \u0644\u0644\u063A\u0629 \u0628\u0627\u064A\u062B\u0648\u0646 \u0645\u0643\u062A\u0648\u0628 \u0647\u0648 \u0646\u0641\u0633\u0647 \u0628\u0644\u063A\u0629 \u0628\u0627\u064A\u062B\u0648\u0646\u060C \u0628\u0628\u0646\u064A\u0629 \u0645\u0631\u0646\u0629."@ar . "PyPy \u00E9s un int\u00E8rpret i per al llenguatge Python, enfocat a la velocitat i l'efici\u00E8ncia, i \u00E9s 100% compatible amb l'int\u00E8rpret original CPython."@ca . . "PyPy ist ein Just-in-time-Compiler f\u00FCr die Programmiersprache Python, der selbst in Python geschrieben ist. Da die Programmierer mit einer Python-Implementierung in Python selbst (und nicht in C, wie dies bei der Referenzimplementierung CPython der Fall ist) experimentieren k\u00F6nnen, macht PyPy es einfacher, Bereiche zu finden, in denen die Python-Implementierung verbessert werden kann. Dar\u00FCber hinaus erlaubt PyPy den Entwicklern durch seine Flexibilit\u00E4t, mit mehreren Implementierungen eines speziellen Features zu experimentieren. Eines der Ziele des Projektes war es, einen Python-Interpreter zu entwickeln, der schneller als CPython ist, was im M\u00E4rz 2008 erstmals gelang. Mittlerweile ist PyPy in einer \u00FCberwiegenden Zahl von Benchmarks schneller als CPython \u2013 und in Sonderf\u00E4llen sogar schneller als C. Streng genommen akzeptiert PyPy keine Programme in Python, sondern eine reduzierte Sprache namens RPython. W\u00E4hrend alle RPython-Programme ohne Umwandlungen als Python-Programme lauff\u00E4hig sind, ist dies umgekehrt nicht immer der Fall. Die Reduktion auf RPython wurde notwendig, damit PyPy eine statische Typisierung von Python-Objekten durchf\u00FChren kann. PyPy ist von Vorteil, wenn die Laufzeit von Python-Programmen reduziert werden soll. Nachteilig ist, dass nicht alle f\u00FCr Python entwickelten Programmbibliotheken unterst\u00FCtzt werden. So gibt es etwa von NumPy eine RPython-Variante, die etwa 80 % der Geschwindigkeit des in C implementierten Originals erreicht, aber nicht voll kompatibel ist, und die Alternative, das Original \u00FCber eine Zwischenschicht zu nutzen, was aber sehr langsam ist."@de . . . . . . "PyPy \u00E9 uma implementa\u00E7\u00E3o alternativa da linguagem Python a CPython, que \u00E9 a implementa\u00E7\u00E3o padr\u00E3o de Python. PyPy frequentemente roda mais r\u00E1pido que que CPython, por usar uma JIT (Just In Time), enquanto CPython \u00E9 interpretada. A maior parte do c\u00F3digo Python roda bem na PyPy, com exce\u00E7\u00E3o de c\u00F3digo que depende de extens\u00F5es da CPython, que ou n\u00E3o funcionam ou causam algum overhead quando rodam na PyPy. Funcionalmente, PyPy \u00E9 projetada em torno de uma t\u00E9cnica conhecida como meta-tracing, que transforma um interpretador num JIT. J\u00E1 que interpretadores s\u00E3o mais f\u00E1ceis de escrever que compiladores, mas rodam mais lentamente, essa t\u00E9cnica torna mais f\u00E1cil produzir uma implementa\u00E7\u00E3o eficiente de linguagens de programa\u00E7\u00E3o. O toolchain meta-tracing usado pelo PyPy \u00E9 chamado de ."@pt . . "PyPy\uFF08\u30D1\u30A4\u30D1\u30A4\uFF09\u306F\u3001\u30D7\u30ED\u30B0\u30E9\u30DF\u30F3\u30B0\u8A00\u8A9EPython\u306E\u5B9F\u88C5\u306E1\u3064\u3067\u3042\u308A\u3001Python\u3067\u8A18\u8FF0\u3055\u308C\u305FPython\u306E\u51E6\u7406\u7CFB\u3067\u3042\u308B\u3053\u3068\u304C\u7279\u5FB4\u306E1\u3064\u3067\u3042\u308B\uFF08\u30BB\u30EB\u30D5\u30DB\u30B9\u30C6\u30A3\u30F3\u30B0\uFF09\u3002PyPy\u306F\u3001\u5B9F\u884C\u901F\u5EA6\u3068\u52B9\u7387\u3001\u304A\u3088\u3073\u30AA\u30EA\u30B8\u30CA\u30EB\u306EPython\u5B9F\u88C5\u3067\u3042\u308BCPython\u3068\u306E\u4E92\u63DB\u6027\u306B\u91CD\u70B9\u3092\u7F6E\u3044\u3066\u3044\u308B\u3002 PyPy\u306FJIT\u30B3\u30F3\u30D1\u30A4\u30EB\u6A5F\u80FD\u3092\u6301\u3063\u3066\u304A\u308A\u3001\u5B9F\u884C\u6642\u306B\uFF08\u5FC5\u8981\u306B\u5FDC\u3058\u3066\uFF09\u30B3\u30FC\u30C9\u3092\u6A5F\u68B0\u8A9E\u306B\u30B3\u30F3\u30D1\u30A4\u30EB\u3057\u3066\u52B9\u7387\u7684\u306B\u5B9F\u884C\u3055\u305B\u308B\u80FD\u529B\u3092\u6301\u3064\u3002 PyPy\u306F\u3001Python\u306B\u3044\u304F\u3064\u304B\u306E\u5236\u7D04\u3092\u52A0\u3048\u305F\u8A00\u8A9E\u3067\u3042\u308BRPython\u3067\u8A18\u8FF0\u3055\u308C\u3066\u3044\u308B\u3002RPython\u3067\u66F8\u304B\u308C\u305F\u30B3\u30FC\u30C9\u3092\u30C8\u30E9\u30F3\u30B9\u30EC\u30FC\u30BF\u3067C\u8A00\u8A9E\u306A\u3069\u306B\u5909\u63DB\u3057\u3066\u304B\u3089\u30B3\u30F3\u30D1\u30A4\u30EB\u3059\u308B\u3053\u3068\u3067PyPy\u306E\u5B9F\u884C\u53EF\u80FD\u30D0\u30A4\u30CA\u30EA\u304C\u4F5C\u6210\u3067\u304D\u308B\u3002\u307E\u305F\u3001RPython\u306E\u8A00\u8A9E\u4ED5\u69D8\u306FPython\u306E\u8A00\u8A9E\u4ED5\u69D8\u306E\u30B5\u30D6\u30BB\u30C3\u30C8\u3067\u3042\u308B\u305F\u3081\u3001\uFF08\u5B9F\u884C\u901F\u5EA6\u306F\u4F4E\u4E0B\u3059\u308B\u304C\uFF09PyPy\u3092CPython\u4E0A\u3067\u5B9F\u884C\u3057\u305F\u308A\u3001PyPy\u3092PyPy\u4E0A\u3067\u5B9F\u884C\u3059\u308B\u3053\u3068\u3082\u3067\u304D\u308B\u3002 PyPy\u306F\u3001Python\u4EE5\u5916\u306E\u52D5\u7684\u8A00\u8A9E\u3092\u5B9F\u88C5\u3059\u308B\u305F\u3081\u306E\u57FA\u76E4\u3068\u3057\u3066\u3082\u4F7F\u7528\u3067\u304D\u308B\u3002"@ja . . . "PyPy"@es . . . . . "PyPy"@ko . . . "PyPy \u2014 \u0440\u0435\u0430\u043B\u0456\u0437\u0430\u0446\u0456\u044F \u043C\u043E\u0432\u0438 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u0443\u0432\u0430\u043D\u043D\u044F Python, \u0456\u043D\u0442\u0435\u0440\u043F\u0440\u0435\u0442\u0430\u0442\u043E\u0440 \u0442\u0430 JIT-\u043A\u043E\u043C\u043F\u0456\u043B\u044F\u0442\u043E\u0440, \u043D\u0430\u043F\u0438\u0441\u0430\u043D\u0456 \u043D\u0430 \u043C\u043E\u0432\u0456 Python (\u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u043E\u0432\u0443\u0454\u0442\u044C\u0441\u044F \u0441\u0442\u0430\u0442\u0438\u0447\u043D\u043E \u0442\u0438\u043F\u0456\u0437\u043E\u0432\u0430\u043D\u0430 \u043F\u0456\u0434\u043C\u043D\u043E\u0436\u0438\u043D\u0430 RPython, Restricted Python). \u041F\u0440\u043E\u0435\u043A\u0442 \u043C\u0430\u0454 \u0437\u0430 \u043C\u0435\u0442\u0443 \u0448\u0432\u0438\u0434\u043A\u043E\u0434\u0456\u044E, \u0435\u0444\u0435\u043A\u0442\u0438\u0432\u043D\u0456\u0441\u0442\u044C \u0442\u0430 100 % \u0441\u0443\u043C\u0456\u0441\u043D\u0456\u0441\u0442\u044C \u0437 \u043A\u043B\u0430\u0441\u0438\u0447\u043D\u043E\u044E \u0440\u0435\u0430\u043B\u0456\u0437\u0430\u0446\u0456\u0454\u044E Python \u043D\u0430 \u043C\u043E\u0432\u0456 \u0421\u0456 \u2014 CPython. \u0417\u0430\u0432\u0434\u044F\u043A\u0438 \u0437\u0430\u043B\u0443\u0447\u0435\u043D\u043D\u044E JIT-\u043A\u043E\u043C\u043F\u0456\u043B\u044F\u0442\u043E\u0440\u0430, \u043A\u043E\u0442\u0440\u0438\u0439 \u043D\u0430 \u043B\u044C\u043E\u0442\u0443 \u0442\u0440\u0430\u043D\u0441\u043B\u044E\u0454 \u0434\u0435\u044F\u043A\u0456 \u0435\u043B\u0435\u043C\u0435\u043D\u0442\u0438 \u0432 \u043C\u0430\u0448\u0438\u043D\u043D\u0438\u0439 \u043A\u043E\u0434, PyPy \u043F\u0440\u0438 \u0432\u0438\u043A\u043E\u043D\u0430\u043D\u043D\u0456 \u0434\u0435\u044F\u043A\u0438\u0445 \u043E\u043F\u0435\u0440\u0430\u0446\u0456\u0439 \u0432 \u043A\u0456\u043B\u044C\u043A\u0430 \u0440\u0430\u0437\u0456\u0432 \u043E\u0431\u0433\u0430\u043D\u044F\u0454 \u0443 \u043F\u0440\u043E\u0434\u0443\u043A\u0442\u0438\u0432\u043D\u043E\u0441\u0442\u0456 \u043E\u0440\u0438\u0433\u0456\u043D\u0430\u043B\u044C\u043D\u0438\u0439 \u0456\u043D\u0442\u0435\u0440\u043F\u0440\u0435\u0442\u0430\u0442\u043E\u0440 CPython. \u0426\u0456\u043D\u043E\u044E \u0432\u0438\u0441\u043E\u043A\u043E\u0457 \u043F\u0440\u043E\u0434\u0443\u043A\u0442\u0438\u0432\u043D\u043E\u0441\u0442\u0456 \u0442\u0430 \u0432\u0438\u043A\u043E\u0440\u0438\u0441\u0442\u0430\u043D\u043D\u044F JIT-\u043A\u043E\u043C\u043F\u0456\u043B\u044F\u0446\u0456\u0457 \u0454 \u0431\u0456\u043B\u044C\u0448\u0435 \u0441\u043F\u043E\u0436\u0438\u0432\u0430\u043D\u043D\u044F \u043F\u0430\u043C'\u044F\u0442\u0456 \u2014 \u0437\u0430\u0433\u0430\u043B\u044C\u043D\u0435 \u0441\u043F\u043E\u0436\u0438\u0432\u0430\u043D\u043D\u044F \u043F\u0430\u043C'\u044F\u0442\u0456 \u0432 \u0441\u043A\u043B\u0430\u0434\u043D\u0438\u0445 \u0456 \u0442\u0440\u0438\u0432\u0430\u043B\u043E \u043F\u0440\u0430\u0446\u044E\u044E\u0447\u0438\u0445 \u043F\u0440\u043E\u0446\u0435\u0441\u0430\u0445 (\u043D\u0430\u043F\u0440\u0438\u043A\u043B\u0430\u0434, \u043F\u0440\u0438 \u0442\u0440\u0430\u043D\u0441\u043B\u044F\u0446\u0456\u0457 PyPy \u0441\u0438\u043B\u0430\u043C\u0438 \u0441\u0430\u043C\u043E\u0433\u043E PyPy) \u043F\u0435\u0440\u0435\u0432\u0438\u0449\u0443\u0454 \u0441\u043F\u043E\u0436\u0438\u0432\u0430\u043D\u043D\u044F CPython \u0432 \u043F\u0456\u0432\u0442\u043E\u0440\u0430-\u0434\u0432\u0430 \u0440\u0430\u0437\u0438."@uk . "1119873668"^^ . . "Python interpreter and compiler toolchain"@en . . . . "PyPy"@ja . "PyPy es un int\u00E9rprete y compilador JIT para el lenguaje Python, que se enfoca en la velocidad y eficiencia, y es 100% compatible con el int\u00E9rprete original CPython."@es . "PyPy (/\u02C8pa\u026Apa\u026A/) is an implementation of the Python programming language. PyPy often runs faster than the standard implementation CPython because PyPy uses a just-in-time compiler. Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when run in PyPy. Internally, PyPy uses a technique known as meta-tracing, which transforms an interpreter into a tracing just-in-time compiler. Since interpreters are usually easier to write than compilers, but run slower, this technique can make it easier to produce efficient implementations of programming languages. PyPy's meta-tracing toolchain is called ."@en . "PyPy est une mise en \u0153uvre du langage Python \u00E9crite elle-m\u00EAme en Python, avec une architecture flexible."@fr . "PyPy adalah interpreter bahasa pemrograman python yang ditulis dengan Python dan dilengkapi dengan kompiler JIT (just in time). Pengembangan PyPy berfokus pada kecepatan unjuk kerja program, efisiensi, serta menjaga kompatibilitas dengan interpreter CPython. Dengan menggunakan Python dalam pengembangan PyPy, para pengembang PyPy memungkinkan melakukan hacking atas implementasinya serta mengidentifikasi area mana saja yang memerlukan perbaikan. Faktanya saat ini PyPy diimplementasikan sebagai bahasa tingkat tinggi membuatnya lebih fleksibel dan lebih mudah dalam bereksperimen bila dibandingkan dengan CPython, dan juga memungkinkan pengembangnya bereksperimen atas beberapa bentuk implementasi atas fitur-fitur spesifik tertentu. PyPy juga menyediakan model penerjemahan umum dan mendukung bentuk kerangka pengembangan untuk membuat bahasa pemrograman dinamis, menyediakan pemisahan yang jelas antara spesifikasi suatu bahasa pemrograman dengan aspek maupun bentuk implementasinya. Selain itu, PyPy menyediakan satu bahasa pemrograman Python yang kompatibel dengan CPython dengan fleksibilitas serta tingkat unjuk kerja yang lebih baik."@in . "PyPy"@ca . . . . "\u0628\u0627\u064A \u0628\u0627\u064A (\u0628\u0627\u0644\u0625\u0646\u062C\u0644\u064A\u0632\u064A\u0629: PyPy)\u200F \u0647\u0648 \u062A\u0637\u0628\u064A\u0642 \u0644\u0644\u063A\u0629 \u0628\u0627\u064A\u062B\u0648\u0646 \u0645\u0643\u062A\u0648\u0628 \u0647\u0648 \u0646\u0641\u0633\u0647 \u0628\u0644\u063A\u0629 \u0628\u0627\u064A\u062B\u0648\u0646\u060C \u0628\u0628\u0646\u064A\u0629 \u0645\u0631\u0646\u0629."@ar . . . . "PyPy"@en . . . . "PyPy \u2013 implementacja j\u0119zyka Python napisana w j\u0119zyku RPython (Restricted Python) \u2013 statycznym podzbiorze Pythona, kt\u00F3ry mo\u017Cna skompilowa\u0107 do kodu bajtowego Javy, CLR czy C. Umo\u017Cliwia te\u017C tworzenie kompilator\u00F3w JIT poprzez napisanie interpretera. PyPy u\u017Cywa si\u0119 w celu przyspieszenia wykonania kodu, co daje (przy pewnym ograniczaniu swobody programowania) szybszy do kilkudziesi\u0119ciu razy kod. Innym przy\u015Bpieszaczem jest eksperymentalny , kt\u00F3ry kompiluje kod Pythona do C++."@pl . "PyPy \u2014 \u0438\u043D\u0442\u0435\u0440\u043F\u0440\u0435\u0442\u0430\u0442\u043E\u0440 \u044F\u0437\u044B\u043A\u0430 \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u0438\u0440\u043E\u0432\u0430\u043D\u0438\u044F Python. PyPy \u0432 \u043D\u0430\u0447\u0430\u043B\u0435 \u0441\u0432\u043E\u0435\u0433\u043E \u0441\u0443\u0449\u0435\u0441\u0442\u0432\u043E\u0432\u0430\u043D\u0438\u044F \u0431\u044B\u043B \u0438\u043D\u0442\u0435\u0440\u043F\u0440\u0435\u0442\u0430\u0442\u043E\u0440\u043E\u043C Python, \u043D\u0430\u043F\u0438\u0441\u0430\u043D\u043D\u044B\u043C \u043D\u0430 Python. \u0422\u0435\u043A\u0443\u0449\u0438\u0435 \u0432\u0435\u0440\u0441\u0438\u0438 PyPy \u0442\u0440\u0430\u043D\u0441\u043B\u0438\u0440\u0443\u044E\u0442\u0441\u044F \u0438\u0437 RPython \u0432 \u0421\u0438 \u0438 \u043A\u043E\u043C\u043F\u0438\u043B\u0438\u0440\u0443\u044E\u0442\u0441\u044F. \u0412 PyPy \u0432\u0441\u0442\u0440\u043E\u0435\u043D JIT-\u043A\u043E\u043C\u043F\u0438\u043B\u044F\u0442\u043E\u0440, \u043A\u043E\u0442\u043E\u0440\u044B\u0439 \u043C\u043E\u0436\u0435\u0442 \u043F\u0440\u0435\u0432\u0440\u0430\u0449\u0430\u0442\u044C \u043A\u043E\u0434 \u043D\u0430 Python \u0432 \u043C\u0430\u0448\u0438\u043D\u043D\u044B\u0439 \u043A\u043E\u0434 \u0432\u043E \u0432\u0440\u0435\u043C\u044F \u0432\u044B\u043F\u043E\u043B\u043D\u0435\u043D\u0438\u044F \u043F\u0440\u043E\u0433\u0440\u0430\u043C\u043C\u044B."@ru . . . . "PyPy est une mise en \u0153uvre du langage Python \u00E9crite elle-m\u00EAme en Python, avec une architecture flexible."@fr . . . . . . "PyPy"@fr . . . . . . . . . "mid"@en . "what does \"with scope\" mean?"@en . . . . "PyPy"@it . "RPython"@en . . . . . . . . . . . . "PyPy"@in . . . . . . "PyPy \u00E8 un interprete Python e un compilatore JIT. \u00C8 compatibile con l'interprete . PyPy \u00E8 stato finanziato dall'Unione europea come Progetto obiettivo di Ricerca. PyPy \u00E8 iniziato come un interprete Python scritto nello stesso linguaggio Python. Attualmente, le versioni di PyPy vengono tradotte da RPython in codice C e compilate. Il compiler JIT di PyPy \u00E8 capace di trasformare codice Python in codice macchina a runtime."@it . . . . . "PyPy (/\u02C8pa\u026Apa\u026A/) is an implementation of the Python programming language. PyPy often runs faster than the standard implementation CPython because PyPy uses a just-in-time compiler. Most Python code runs well on PyPy except for code that depends on CPython extensions, which either does not work or incurs some overhead when run in PyPy. Internally, PyPy uses a technique known as meta-tracing, which transforms an interpreter into a tracing just-in-time compiler. Since interpreters are usually easier to write than compilers, but run slower, this technique can make it easier to produce efficient implementations of programming languages. PyPy's meta-tracing toolchain is called . PyPy does not have full compatibility with more recent versions of the CPython ecosystem. While it claims compatibility with Python 2.7, 3.7, 3.8 and 3.9 (\"a drop-in replacement for CPython\"), it loses out on newer features and syntax in Python 3.10, such as syntax for pattern matching."@en . . . . "PyPy \u2013 implementacja j\u0119zyka Python napisana w j\u0119zyku RPython (Restricted Python) \u2013 statycznym podzbiorze Pythona, kt\u00F3ry mo\u017Cna skompilowa\u0107 do kodu bajtowego Javy, CLR czy C. Umo\u017Cliwia te\u017C tworzenie kompilator\u00F3w JIT poprzez napisanie interpretera. PyPy u\u017Cywa si\u0119 w celu przyspieszenia wykonania kodu, co daje (przy pewnym ograniczaniu swobody programowania) szybszy do kilkudziesi\u0119ciu razy kod. Innym przy\u015Bpieszaczem jest eksperymentalny , kt\u00F3ry kompiluje kod Pythona do C++."@pl . . . . "PyPy\uFF08\u30D1\u30A4\u30D1\u30A4\uFF09\u306F\u3001\u30D7\u30ED\u30B0\u30E9\u30DF\u30F3\u30B0\u8A00\u8A9EPython\u306E\u5B9F\u88C5\u306E1\u3064\u3067\u3042\u308A\u3001Python\u3067\u8A18\u8FF0\u3055\u308C\u305FPython\u306E\u51E6\u7406\u7CFB\u3067\u3042\u308B\u3053\u3068\u304C\u7279\u5FB4\u306E1\u3064\u3067\u3042\u308B\uFF08\u30BB\u30EB\u30D5\u30DB\u30B9\u30C6\u30A3\u30F3\u30B0\uFF09\u3002PyPy\u306F\u3001\u5B9F\u884C\u901F\u5EA6\u3068\u52B9\u7387\u3001\u304A\u3088\u3073\u30AA\u30EA\u30B8\u30CA\u30EB\u306EPython\u5B9F\u88C5\u3067\u3042\u308BCPython\u3068\u306E\u4E92\u63DB\u6027\u306B\u91CD\u70B9\u3092\u7F6E\u3044\u3066\u3044\u308B\u3002 PyPy\u306FJIT\u30B3\u30F3\u30D1\u30A4\u30EB\u6A5F\u80FD\u3092\u6301\u3063\u3066\u304A\u308A\u3001\u5B9F\u884C\u6642\u306B\uFF08\u5FC5\u8981\u306B\u5FDC\u3058\u3066\uFF09\u30B3\u30FC\u30C9\u3092\u6A5F\u68B0\u8A9E\u306B\u30B3\u30F3\u30D1\u30A4\u30EB\u3057\u3066\u52B9\u7387\u7684\u306B\u5B9F\u884C\u3055\u305B\u308B\u80FD\u529B\u3092\u6301\u3064\u3002 PyPy\u306F\u3001Python\u306B\u3044\u304F\u3064\u304B\u306E\u5236\u7D04\u3092\u52A0\u3048\u305F\u8A00\u8A9E\u3067\u3042\u308BRPython\u3067\u8A18\u8FF0\u3055\u308C\u3066\u3044\u308B\u3002RPython\u3067\u66F8\u304B\u308C\u305F\u30B3\u30FC\u30C9\u3092\u30C8\u30E9\u30F3\u30B9\u30EC\u30FC\u30BF\u3067C\u8A00\u8A9E\u306A\u3069\u306B\u5909\u63DB\u3057\u3066\u304B\u3089\u30B3\u30F3\u30D1\u30A4\u30EB\u3059\u308B\u3053\u3068\u3067PyPy\u306E\u5B9F\u884C\u53EF\u80FD\u30D0\u30A4\u30CA\u30EA\u304C\u4F5C\u6210\u3067\u304D\u308B\u3002\u307E\u305F\u3001RPython\u306E\u8A00\u8A9E\u4ED5\u69D8\u306FPython\u306E\u8A00\u8A9E\u4ED5\u69D8\u306E\u30B5\u30D6\u30BB\u30C3\u30C8\u3067\u3042\u308B\u305F\u3081\u3001\uFF08\u5B9F\u884C\u901F\u5EA6\u306F\u4F4E\u4E0B\u3059\u308B\u304C\uFF09PyPy\u3092CPython\u4E0A\u3067\u5B9F\u884C\u3057\u305F\u308A\u3001PyPy\u3092PyPy\u4E0A\u3067\u5B9F\u884C\u3059\u308B\u3053\u3068\u3082\u3067\u304D\u308B\u3002 PyPy\u306F\u3001Python\u4EE5\u5916\u306E\u52D5\u7684\u8A00\u8A9E\u3092\u5B9F\u88C5\u3059\u308B\u305F\u3081\u306E\u57FA\u76E4\u3068\u3057\u3066\u3082\u4F7F\u7528\u3067\u304D\u308B\u3002"@ja . . "PyPy is een alternatieve implementatie van de programmeertaal Python. In tegenstelling tot de standaardimplementatie van Python, , die gebruik maakt van een interpreter, gebruikt PyPy just-in-time-compilatie. In veel gevallen zorgt dit voor een snellere uitvoering. Net zoals Python zelf, is PyPy een opensourceproject."@nl . . . . . . . . . . .