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Commitce5ce5f

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author
Autobuild bot on TravisCI
committed
[skip ci] Update .po files
1 parenta252b3e commitce5ce5f

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6 files changed

+5234
-5201
lines changed

6 files changed

+5234
-5201
lines changed

‎library/enum.po

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@@ -18,7 +18,7 @@ msgid ""
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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:2020-01-01 12:19+0000\n"
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"POT-Creation-Date:2020-01-26 12:31+0000\n"
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"PO-Revision-Date:2017-02-16 23:09+0000\n"
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"Last-Translator:Nozomu Kaneko <nozom.kaneko@gmail.com>, 2017\n"
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"Language-Team:Japanese (https://www.transifex.com/python-doc/teams/5390/ja/)\n"
@@ -91,8 +91,10 @@ msgid ""
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msgstr"一つの名前だけがひとつの値に束縛されていることを保証する Enum クラスのデコレーターです。"
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/enum.rst:58
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msgid"Instances are replaced with an appropriate value for Enum members."
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msgstr"このインスタンスは列挙型のメンバーのための適切な値に置き換えられます。"
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msgid""
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"Instances are replaced with an appropriate value for Enum members. Initial "
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"value starts at 1."
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/enum.rst:60
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msgid"``Flag``, ``IntFlag``, ``auto``"

‎library/statistics.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:2020-01-01 12:19+0000\n"
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"POT-Creation-Date:2020-01-26 12:31+0000\n"
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"PO-Revision-Date:2017-02-16 23:27+0000\n"
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"Last-Translator:yuji takesue <taketakeyyy@gmail.com>, 2018\n"
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"Language-Team:Japanese (https://www.transifex.com/python-doc/teams/5390/ja/)\n"
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:775
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msgid""
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"Normal distributions can be used to approximate `Binomial distributions "
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"<http://mathworld.wolfram.com/BinomialDistribution.html>`_ when the sample "
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"size is large and when the probability of a successful trial is near 50%."
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:780
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msgid""
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"For example, an open source conference has 750 attendees and two rooms with "
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"a 500 person capacity. There is a talk about Python and another about Ruby."
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" In previous conferences, 65% of the attendees preferred to listen to Python"
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" talks. Assuming the population preferences haven't changed, what is the "
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"probability that the rooms will stay within their capacity limits?"
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:811
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msgid"Normal distributions commonly arise in machine learning problems."
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:777
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:813
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msgid""
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"Wikipedia has a `nice example of a Naive Bayesian Classifier "
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"<https://en.wikipedia.org/wiki/Naive_Bayes_classifier#Sex_classification>`_."
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" The challenge is to predict a person's gender from measurements of normally"
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" distributed features including height, weight, and foot size."
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:782
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:818
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msgid""
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"We're given a training dataset with measurements for eight people. The "
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"measurements are assumed to be normally distributed, so we summarize the "
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"data with :class:`NormalDist`:"
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:795
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:831
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msgid""
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"Next, we encounter a new person whose feature measurements are known but "
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"whose gender is unknown:"
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:804
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:840
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msgid""
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"Starting with a 50% `prior probability "
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"<https://en.wikipedia.org/wiki/Prior_probability>`_ of being male or female,"
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" we compute the posterior as the prior times the product of likelihoods for "
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"the feature measurements given the gender:"
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:819
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/statistics.rst:855
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msgid""
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"The final prediction goes to the largest posterior. This is known as the "
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"`maximum a posteriori "

‎library/tokenize.po

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@@ -14,7 +14,7 @@ msgid ""
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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:2020-01-01 12:19+0000\n"
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"POT-Creation-Date:2020-01-26 12:31+0000\n"
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"PO-Revision-Date:2017-02-16 23:31+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"
@@ -281,3 +281,13 @@ msgstr ""
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msgid""
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"The exact token type names can be displayed using the :option:`-e` option:"
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/tokenize.rst:282
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msgid""
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"Example of tokenizing a file programmatically, reading unicode strings "
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"instead of bytes with :func:`generate_tokens`::"
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msgstr""
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#:/home/travis/build/python/cpython-doc-catalog/Doc/library/tokenize.rst:292
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msgid"Or reading bytes directly with :func:`.tokenize`::"
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msgstr""

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