python
diff --git a/‎library/decimal.po‎
Lines changed: 21 additions & 3 deletions b/‎library/decimal.po‎
Lines changed: 21 additions & 3 deletions
@@ -1,5 +1,5 @@
 # SOME DESCRIPTIVE TITLE.
-# Copyright (C) 2001-2018, Python Software Foundation
+# Copyright (C) 2001-2019, Python Software Foundation
 # This file is distributed under the same license as the Python package.
 # FIRST AUTHOR <EMAIL@ADDRESS>, YEAR.
 # 
@@ -8,8 +8,8 @@ msgid ""
 msgstr ""
 "Project-Id-Version: Python 3.7\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2018-06-30 05:56+0900\n"
-"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
+"POT-Creation-Date: 2019-02-03 10:33+0900\n"
+"PO-Revision-Date: 2017-02-16 23:06+0000\n"
 "Language-Team: Chinese (China) (https://www.transifex.com/python-doc/teams/5390/zh_CN/)\n"
 "MIME-Version: 1.0\n"
 "Content-Type: text/plain; charset=UTF-8\n"
@@ -1951,3 +1951,21 @@ msgid ""
 "Alternatively, inputs can be rounded upon creation using the "
 ":meth:`Context.create_decimal` method:"
 msgstr ""
+
+#: ../../library/decimal.rst:2119
+msgid "Q. Is the CPython implementation fast for large numbers?"
+msgstr ""
+
+#: ../../library/decimal.rst:2121
+msgid ""
+"A. Yes.  In the CPython and PyPy3 implementations, the C/CFFI versions of "
+"the decimal module integrate the high speed `libmpdec "
+"<https://www.bytereef.org/mpdecimal/doc/libmpdec/index.html>`_ library for "
+"arbitrary precision correctly-rounded decimal floating point arithmetic. "
+"``libmpdec`` uses `Karatsuba multiplication "
+"<https://en.wikipedia.org/wiki/Karatsuba_algorithm>`_ for medium-sized "
+"numbers and the `Number Theoretic Transform "
+"<https://en.wikipedia.org/wiki/Discrete_Fourier_transform_(general)#Number-"
+"theoretic_transform>`_ for very large numbers.  However, to realize this "
+"performance gain, the context needs to be set for unrounded calculations."
+msgstr ""