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[skip ci] Update .po files
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‎extending/newtypes_tutorial.po‎

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# Osamu NAKAMURA, 2019
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# tomo, 2019
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# Yuta Kanzawa, 2019
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# samuel300z <samuel300z@gmail.com>, 2020
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#
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#, fuzzy
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msgid ""
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"Report-Msgid-Bugs-To: \n"
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"POT-Creation-Date: 2020-02-09 12:40+0000\n"
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"PO-Revision-Date: 2018-04-08 04:04+0000\n"
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"Last-Translator: Yuta Kanzawa, 2019\n"
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"Last-Translator: samuel300z <samuel300z@gmail.com>, 2020\n"
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"Language-Team: Japanese (https://www.transifex.com/python-doc/teams/5390/ja/)\n"
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"MIME-Version: 1.0\n"
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"Content-Type: text/plain; charset=UTF-8\n"
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"but there are some details that you need to understand before you can get "
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"started. This document is a gentle introduction to the topic."
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msgstr ""
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"Python では、組み込みの :class:`str` 型や :class:`list` 型のような Python コードから走査できる新しい型を C 拡張モジュールの作者が定義できます。\n"
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"Python では、組み込みの :class:`str` 型や :class:`list` 型のような Python コードから操作できる新しい型を C 拡張モジュールの作者が定義できます。\n"
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"全ての拡張の型のコードはあるパターンに従うのですが、書き始める前に理解しておくべき細かいことがあります。\n"
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"このドキュメントはその話題についてのやさしい入門です。"
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"Now that's quite a bit to take in at once, but hopefully bits will seem "
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"familiar from the previous chapter. This file defines three things:"
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msgstr ""
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"一度に把握するにはちょっと量が多いですが、前の章よりはとっつきやすくなっていることと重います。このファイルでは、3つの要素が定義されています:"
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"一度に把握するにはちょっと量が多いですが、前の章よりはとっつきやすくなっていることと思います。このファイルでは、3つの要素が定義されています:"
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#: ../../extending/newtypes_tutorial.rst:53
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msgid ""

‎library/decimal.po‎

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msgstr ""
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"Project-Id-Version: Python 3.8\n"
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"Report-Msgid-Bugs-To: \n"
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"POT-Creation-Date: 2020-02-09 12:40+0000\n"
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"POT-Creation-Date: 2020-02-22 12:45+0000\n"
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"PO-Revision-Date: 2017-02-16 23:06+0000\n"
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"Last-Translator: tomo, 2019\n"
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"Language-Team: Japanese (https://www.transifex.com/python-doc/teams/5390/ja/)\n"
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"A. Yes. In the CPython and PyPy3 implementations, the C/CFFI versions of "
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"the decimal module integrate the high speed `libmpdec "
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"<https://www.bytereef.org/mpdecimal/doc/libmpdec/index.html>`_ library for "
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"arbitrary precision correctly-rounded decimal floating point arithmetic. "
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"``libmpdec`` uses `Karatsuba multiplication "
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"arbitrary precision correctly-rounded decimal floating point arithmetic "
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"[#]_. ``libmpdec`` uses `Karatsuba multiplication "
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"<https://en.wikipedia.org/wiki/Karatsuba_algorithm>`_ for medium-sized "
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"numbers and the `Number Theoretic Transform "
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"<https://en.wikipedia.org/wiki/Discrete_Fourier_transform_(general)#Number-"
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"theoretic_transform>`_ for very large numbers. However, to realize this "
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"performance gain, the context needs to be set for unrounded calculations."
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"theoretic_transform>`_ for very large numbers."
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msgstr ""
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#: ../../library/decimal.rst:2131
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msgid ""
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"The context must be adapted for exact arbitrary precision arithmetic. "
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":attr:`Emin` and :attr:`Emax` should always be set to the maximum values, "
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":attr:`clamp` should always be 0 (the default). Setting :attr:`prec` "
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"requires some care."
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msgstr ""
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#: ../../library/decimal.rst:2135
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msgid ""
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"The easiest approach for trying out bignum arithmetic is to use the maximum "
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"value for :attr:`prec` as well [#]_::"
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msgstr ""
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#: ../../library/decimal.rst:2144
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msgid ""
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"For inexact results, :attr:`MAX_PREC` is far too large on 64-bit platforms "
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"and the available memory will be insufficient::"
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msgstr ""
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#: ../../library/decimal.rst:2152
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msgid ""
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"On systems with overallocation (e.g. Linux), a more sophisticated approach "
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"is to adjust :attr:`prec` to the amount of available RAM. Suppose that you "
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"have 8GB of RAM and expect 10 simultaneous operands using a maximum of 500MB"
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" each::"
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msgstr ""
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#: ../../library/decimal.rst:2176
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msgid ""
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"In general (and especially on systems without overallocation), it is "
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"recommended to estimate even tighter bounds and set the :attr:`Inexact` trap"
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" if all calculations are expected to be exact."
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msgstr ""
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#: ../../library/decimal.rst:2185
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msgid ""
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"This approach now works for all exact results except for non-integer powers."
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" Also backported to 3.7 and 3.8."
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msgstr ""
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"A. はい。\n"
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"CPython 実装と PyPy3 実装では、 C/CFFI 版の decimal モジュールは、任意精度の正しい丸めを行う 10 進浮動小数点演算のための高速な `libmpdec <https://www.bytereef.org/mpdecimal/doc/libmpdec/index.html>`_ ライブラリを統合しています。\n"
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"``libmpdec`` は `Karatsuba multiplication <https://en.wikipedia.org/wiki/Karatsuba_algorithm>`_ を中程度のサイズの数に対して使い、 `Number Theoretic Transform <https://en.wikipedia.org/wiki/Discrete_Fourier_transform_(general)#Number-theoretic_transform>`_ を非常に大きな数に対して使います。\n"
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"ただし、このパフォーマンス向上を得るためには、計算で丸めが発生しないように context を設定する必要があります。"

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