77msgstr ""
88"Project-Id-Version : Python 3.7\n "
99"Report-Msgid-Bugs-To : \n "
10- "POT-Creation-Date : 2021-09-13 00:11 +0000\n "
10+ "POT-Creation-Date : 2021-10-19 00:12 +0000\n "
1111"PO-Revision-Date : 2018-05-23 16:09+0000\n "
1212"
Last-Translator :
Adrian Liaw <[email protected] >\n "
1313"Language-Team : Chinese - TAIWAN (https://github.com/python/python-docs-zh- "
@@ -559,15 +559,15 @@ msgid ""
559559"Simulation of arrival times and service deliveries for a multiserver queue::"
560560msgstr ""
561561
562- #: ../../library/random.rst:531
562+ #: ../../library/random.rst:532
563563msgid ""
564564"`Statistics for Hackers <https://www.youtube.com/watch?v=Iq9DzN6mvYA>`_ a "
565565"video tutorial by `Jake Vanderplas <https://us.pycon.org/2016/speaker/"
566566"profile/295/>`_ on statistical analysis using just a few fundamental "
567567"concepts including simulation, sampling, shuffling, and cross-validation."
568568msgstr ""
569569
570- #: ../../library/random.rst:537
570+ #: ../../library/random.rst:538
571571msgid ""
572572"`Economics Simulation <http://nbviewer.jupyter.org/url/norvig.com/ipython/"
573573"Economics.ipynb>`_ a simulation of a marketplace by `Peter Norvig <http://"
@@ -576,7 +576,7 @@ msgid ""
576576"choice, triangular, and randrange)."
577577msgstr ""
578578
579- #: ../../library/random.rst:544
579+ #: ../../library/random.rst:545
580580msgid ""
581581"`A Concrete Introduction to Probability (using Python) <http://nbviewer."
582582"jupyter.org/url/norvig.com/ipython/Probability.ipynb>`_ a tutorial by `Peter "
@@ -585,11 +585,11 @@ msgid ""
585585"Python."
586586msgstr ""
587587
588- #: ../../library/random.rst:552
588+ #: ../../library/random.rst:553
589589msgid "Recipes"
590590msgstr ""
591591
592- #: ../../library/random.rst:554
592+ #: ../../library/random.rst:555
593593msgid ""
594594"The default :func:`.random` returns multiples of 2⁻⁵³ in the range *0.0 ≤ x "
595595"< 1.0*. All such numbers are evenly spaced and are exactly representable as "
@@ -598,7 +598,7 @@ msgid ""
598598"integer multiple of 2⁻⁵³."
599599msgstr ""
600600
601- #: ../../library/random.rst:560
601+ #: ../../library/random.rst:561
602602msgid ""
603603"The following recipe takes a different approach. All floats in the interval "
604604"are possible selections. The mantissa comes from a uniform distribution of "
@@ -607,13 +607,13 @@ msgid ""
607607"often as the next larger exponent."
608608msgstr ""
609609
610- #: ../../library/random.rst:582
610+ #: ../../library/random.rst:583
611611msgid ""
612612"All :ref:`real valued distributions <real-valued-distributions>` in the "
613613"class will use the new method::"
614614msgstr ""
615615
616- #: ../../library/random.rst:591
616+ #: ../../library/random.rst:592
617617msgid ""
618618"The recipe is conceptually equivalent to an algorithm that chooses from all "
619619"the multiples of 2⁻¹⁰⁷⁴ in the range *0.0 ≤ x < 1.0*. All such numbers are "
@@ -622,7 +622,7 @@ msgid ""
622622"and is equal to ``math.ulp(0.0)``.)"
623623msgstr ""
624624
625- #: ../../library/random.rst:600
625+ #: ../../library/random.rst:601
626626msgid ""
627627"`Generating Pseudo-random Floating-Point Values <https://allendowney.com/"
628628"research/rand/downey07randfloat.pdf>`_ a paper by Allen B. Downey describing "
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