@@ -8,7 +8,7 @@ msgstr ""
88"Project-Id-Version :Python 3.7\n "
99"Report-Msgid-Bugs-To :\n "
1010"POT-Creation-Date :2018-06-26 18:54+0800\n "
11- "PO-Revision-Date :2018-10-16 16:15 +0800\n "
11+ "PO-Revision-Date :2018-11-07 16:57 +0800\n "
1212"Last-Translator :Liang-Bo Wang <me@liang2.tw>\n "
1313"Language-Team :Chinese - TAIWAN (https://github.com/python/python-docs-zh- "
1414"tw)\n "
@@ -105,6 +105,10 @@ msgid ""
105105"fraction is ``3602879701896397 / 2 ** 55`` which is close to but not exactly "
106106"equal to the true value of 1/10."
107107msgstr ""
108+ "只要您停在任何有限的位數，您就只會得到近似值。而現在大多數的計算機中，浮點數"
109+ "是透過二進位分數近似的，其中分子從最高有效位元使開始用 53 個位元表示，分母則"
110+ "是以二為底的指數。在 1/10 的例子中，二進位分數為 ``3602879701896397 / 2 ** "
111+ "55``，而這樣的表示十分地接近，但不完全等同於 1/10 的真正數值。"
108112
109113#: ../../tutorial/floatingpoint.rst:62
110114msgid ""
@@ -114,18 +118,30 @@ msgid ""
114118"if Python were to print the true decimal value of the binary approximation "
115119"stored for 0.1, it would have to display ::"
116120msgstr ""
121+ "由於數值顯示的方式，很多使用者並沒有發現數值是個近似值。Python 只會印出一個十"
122+ "進位近似值，其近似了儲存在計算機中的二進位近似值的十進位數值。在大多數的計算"
123+ "機中，如果 Python 真的會印出完整的十進位數值，其表示儲存在計算機中的 0.1 的二"
124+ "進位近似值，它將顯示為：\n"
125+ "\n"
126+ "::"
117127
118128#: ../../tutorial/floatingpoint.rst:71
119129msgid ""
120130"That is more digits than most people find useful, so Python keeps the number "
121131"of digits manageable by displaying a rounded value instead ::"
122132msgstr ""
133+ "這比一般人感到有用的位數還多，所以 Python 將位數保持在可以接受的範圍，只顯示"
134+ "捨入後的數值：\n"
135+ "\n"
136+ "::"
123137
124138#: ../../tutorial/floatingpoint.rst:77
125139msgid ""
126140"Just remember, even though the printed result looks like the exact value of "
127141"1/10, the actual stored value is the nearest representable binary fraction."
128142msgstr ""
143+ "一定要記住，雖然印出的數字看起來是精準的 1/10，但真正儲存的數值是能表示的二進"
144+ "位分數中，最接近精準數值的數。"
129145
130146#: ../../tutorial/floatingpoint.rst:80
131147msgid ""
@@ -137,6 +153,11 @@ msgid ""
137153"values share the same approximation, any one of them could be displayed "
138154"while still preserving the invariant ``eval(repr(x)) == x``."
139155msgstr ""
156+ "有趣的是，有許多不同的十進位數，共用同一個最接近的二進位近似小數。例如說：數"
157+ "字 ``0.1`` 和 ``0.10000000000000001`` 和 "
158+ "``0.1000000000000000055511151231257827021181583404541015625``，都由 "
159+ "``3602879701896397 / 2 ** 55`` 近似。由於這三個數值共用同一個近似值，任何一個"
160+ "數值都可以被顯示，同時保持 ``eval(repr(x)) == x``。"
140161
141162#: ../../tutorial/floatingpoint.rst:88
142163msgid ""
@@ -145,6 +166,9 @@ msgid ""
145166"Starting with Python 3.1, Python (on most systems) is now able to choose the "
146167"shortest of these and simply display ``0.1``."
147168msgstr ""
169+ "歷史上，Python 的提示字元 (prompt) 與內建的 :func:`repr` 函式會選擇上段說明中"
170+ "有 17 個有效位元的數：``0.10000000000000001``。從 Python 3.1 版開始，"
171+ "Python（在大部分的系統上）可以選擇其中最短的數並簡單地顯示為 ``0.1``。"
148172
149173#: ../../tutorial/floatingpoint.rst:93
150174msgid ""
@@ -154,12 +178,19 @@ msgid ""
154178"arithmetic (although some languages may not *display* the difference by "
155179"default, or in all output modes)."
156180msgstr ""
181+ "注意，這是二進位浮點數理所當然的特性，並不是 Python 的錯誤 (bug)，更不是您程"
182+ "式碼的錯誤。只要有程式語言支持硬體的浮點數運算，您將會看到同樣的事情出現在其"
183+ "中（雖然某些程式語言預設不\\ *顯示*\\ 差異，或者預設全部輸出）。"
157184
158185#: ../../tutorial/floatingpoint.rst:99
159186msgid ""
160187"For more pleasant output, you may wish to use string formatting to produce a "
161188"limited number of significant digits::"
162189msgstr ""
190+ "為求更優雅的輸出，您可能想要使用字串的格式化 (string formatting) 產生限定的有"
191+ "效位數：\n"
192+ "\n"
193+ "::"
163194
164195#: ../../tutorial/floatingpoint.rst:111
165196msgid ""