Merge pull request #57 from yichung279/flaotingpoint-2

Author: adrianliaw

tutorial/floatingpoint.po

@@ -8,16 +8,16 @@ msgstr ""
 "Project-Id-Version: Python 3.7\n"
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 "POT-Creation-Date: 2018-06-26 18:54+0800\n"
-"PO-Revision-Date: 2018-11-07 16:57+0800\n"
-"Last-Translator: Liang-Bo Wang <[email protected]>\n"
+"PO-Revision-Date: 2018-11-20 14:26+0800\n"
+"Last-Translator: Adrian Liaw <[email protected]>\n"
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 "tw)\n"
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-"X-Generator: Poedit 2.2\n"
+"X-Generator: Poedit 2.1.1\n"
 
 #: ../../tutorial/floatingpoint.rst:9
 msgid "Floating Point Arithmetic:  Issues and Limitations"
@@ -197,26 +197,40 @@ msgid ""
 "It's important to realize that this is, in a real sense, an illusion: you're "
 "simply rounding the *display* of the true machine value."
 msgstr ""
+"要了解一件很重要的事，在真正意義上，浮點數的表示是一種幻覺：你基本上在捨入真"
+"正機器數值所\\ *展示的值*\\ 。"
 
 #: ../../tutorial/floatingpoint.rst:114
 msgid ""
 "One illusion may beget another.  For example, since 0.1 is not exactly 1/10, "
 "summing three values of 0.1 may not yield exactly 0.3, either::"
 msgstr ""
+"這種幻覺可能會產生下一個幻覺。舉例來說，因為 0.1 不是真正的 1/10，把三個 0.1 "
+"的值相加，也不會產生精準的 0.3：\n"
+"\n"
+"::"
 
 #: ../../tutorial/floatingpoint.rst:120
 msgid ""
 "Also, since the 0.1 cannot get any closer to the exact value of 1/10 and 0.3 "
 "cannot get any closer to the exact value of 3/10, then pre-rounding with :"
 "func:`round` function cannot help::"
 msgstr ""
+"同時，因為 0.1 不能再更接近精準的 1/10，還有 0.3 不能再更接近精準的 3/10，預"
+"先用 :func:`round` 函式捨入並不會有幫助：\n"
+"\n"
+"::"
 
 #: ../../tutorial/floatingpoint.rst:127
 msgid ""
 "Though the numbers cannot be made closer to their intended exact values, "
 "the :func:`round` function can be useful for post-rounding so that results "
 "with inexact values become comparable to one another::"
 msgstr ""
+"雖然數字不會再更接近他們的精準數值，但 :func:`round` 函式可以對事後的捨入有所"
+"幫助，如此一來，不精確的數值就變得可以互相比較：\n"
+"\n"
+"::"
 
 #: ../../tutorial/floatingpoint.rst:134
 msgid ""
@@ -226,6 +240,9 @@ msgid ""
 "www.lahey.com/float.htm>`_ for a more complete account of other common "
 "surprises."
 msgstr ""
+"二進位浮點數架構擁有很多這樣的驚喜。底下的「表示法錯誤」章節，詳細的解釋了"
+"「0.1」的問題。如果想要其他常見驚喜更完整的描述，可以參考 `The Perils of "
+"Floating Point（浮點數的風險） <http://www.lahey.com/float.htm>`_。"
 
 #: ../../tutorial/floatingpoint.rst:139
 msgid ""