@@ -9,7 +9,7 @@ msgstr ""
99"Project-Id-Version :Python 3.10\n "
1010"Report-Msgid-Bugs-To :\n "
1111"POT-Creation-Date :2022-07-06 00:17+0000\n "
12- "PO-Revision-Date :2022-08-12 17:43 +0800\n "
12+ "PO-Revision-Date :2022-08-14 20:54 +0800\n "
1313"Last-Translator :Adrian Liaw <adrianliaw2000@gmail.com>\n "
1414"Language-Team :Chinese - TAIWAN (https://github.com/python/python-docs-zh- "
1515"tw)\n "
@@ -86,29 +86,39 @@ msgid ""
8686"brackets -- the lack of declarations and the high-level data types are also "
8787"responsible -- but the indentation-based syntax certainly helps."
8888msgstr ""
89+ "很多程式碼風格會把 begin/end 獨立放在一行。這會讓程式碼很長且浪費珍貴的螢幕空"
90+ "間，要概覽程式時也變得較為困難。理想上來說，一個函式應該要佔一個螢幕（大概 "
91+ "20 至 30 行）。20 行的 Python 程式碼比起 20 行的 C 程式碼可以做更多事。這不單"
92+ "單只是沒有 begin/end 括號 ── 也因為沒有變數宣告及高階的資料型別 ── 但縮排式的"
93+ "語法確實給了幫助。"
8994
9095#: ../../faq/design.rst:48
9196msgid "Why am I getting strange results with simple arithmetic operations?"
92- msgstr ""
97+ msgstr "為何我會從簡單的算術運算中得到奇怪的結果？ "
9398
9499#: ../../faq/design.rst:50
95100msgid "See the next question."
96101msgstr "請見下一個問題。"
97102
98103#: ../../faq/design.rst:54
99104msgid "Why are floating-point calculations so inaccurate?"
100- msgstr "為何浮點數運算如此不精確? "
105+ msgstr "為何浮點數運算如此不精確？ "
101106
102107#: ../../faq/design.rst:56
103108msgid "Users are often surprised by results like this::"
104109msgstr ""
110+ "使用者常常對這種結果感到驚訝：\n"
111+ "\n"
112+ "::"
105113
106114#: ../../faq/design.rst:61
107115msgid ""
108116"and think it is a bug in Python. It's not. This has little to do with "
109117"Python, and much more to do with how the underlying platform handles "
110118"floating-point numbers."
111119msgstr ""
120+ "然後認為這是 Python 的 bug。但這並不是。這跟 Python 幾乎沒有關係，而是和底層"
121+ "如何處理浮點數有關係。"
112122
113123#: ../../faq/design.rst:65
114124msgid ""
@@ -119,35 +129,52 @@ msgid ""
119129"point operations. This means that as far as floating-point operations are "
120130"concerned, Python behaves like many popular languages including C and Java."
121131msgstr ""
132+ "CPython 的 :class:`float` 型別使用了 C 的 ``double`` 型別來儲存。一個 class:"
133+ "`float` 物件的值會以固定的精度（通常為 53 位元）存為二進制浮點數，Python 使"
134+ "用 C 來運算浮點數，而他的結果會依處理器中的硬體實作方式來決定。這表示就浮點數"
135+ "運算來說，Python 和 C、Java 等很多受歡迎的語言有一樣的表現。"
122136
123137#: ../../faq/design.rst:72
124138msgid ""
125139"Many numbers that can be written easily in decimal notation cannot be "
126140"expressed exactly in binary floating-point. For example, after::"
127141msgstr ""
142+ "很多數字可以簡單地寫成十進位表示，但卻無法簡單地變成二進制表示。比方說，在以"
143+ "下程式碼執行後：\n"
144+ "\n"
145+ "::"
128146
129147#: ../../faq/design.rst:77
130148msgid ""
131149"the value stored for ``x`` is a (very good) approximation to the decimal "
132150"value ``1.2``, but is not exactly equal to it. On a typical machine, the "
133151"actual stored value is::"
134152msgstr ""
153+ "``x`` 裡的值是一個（很接近）1.2 的估計值，但並非精確地等於 1.2。以一般的電腦"
154+ "來說，他實際儲存的值是：\n"
155+ "\n"
156+ "::"
135157
136158#: ../../faq/design.rst:83
137159msgid "which is exactly::"
138160msgstr ""
161+ "而這個值正是：\n"
162+ "\n"
163+ "::"
139164
140165#: ../../faq/design.rst:87
141166msgid ""
142167"The typical precision of 53 bits provides Python floats with 15--16 decimal "
143168"digits of accuracy."
144- msgstr ""
169+ msgstr "53 位元的精度讓 Python 可以有 15 至 16 小數位的準確度。 "
145170
146171#: ../../faq/design.rst:90
147172msgid ""
148173"For a fuller explanation, please see the :ref:`floating point arithmetic "
149174"<tut-fp-issues>` chapter in the Python tutorial."
150175msgstr ""
176+ "要更完全的解釋可以查閱在 Python 教學的\\ :ref:`浮點運算 <tut-fp-issues>`\\ 一"
177+ "章。"
151178
152179#: ../../faq/design.rst:95
153180msgid "Why are Python strings immutable?"