# SOME DESCRIPTIVE TITLE.
# Copyright (C) 1999-2020, The Alibaba Group Holding Ltd.
# This file is distributed under the same license as the mars package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2020.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: mars 0.5.0a2\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2020-06-16 16:57+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Generated-By: Babel 2.7.0\n"

#: ../../source/user_guide/tensor/generated/mars.tensor.log1p.rst:2
msgid "mars.tensor.log1p"
msgstr ""

#: mars.tensor.log1p:1 of
msgid "Return the natural logarithm of one plus the input tensor, element-wise."
msgstr ""

#: mars.tensor.log1p:3 of
msgid "Calculates ``log(1 + x)``."
msgstr ""

#: mars.tensor.log1p of
msgid "Parameters"
msgstr ""

#: mars.tensor.log1p:5 of
msgid "Input values."
msgstr ""

#: mars.tensor.log1p:7 of
msgid ""
"A location into which the result is stored. If provided, it must have a "
"shape that the inputs broadcast to. If not provided or `None`, a freshly-"
"allocated tensor is returned. A tuple (possible only as a keyword "
"argument) must have length equal to the number of outputs."
msgstr ""

#: mars.tensor.log1p:12 of
msgid ""
"Values of True indicate to calculate the ufunc at that position, values "
"of False indicate to leave the value in the output alone."
msgstr ""

#: mars.tensor.log1p of
msgid "Returns"
msgstr ""

#: mars.tensor.log1p:17 of
msgid "**y** -- Natural logarithm of `1 + x`, element-wise."
msgstr ""

#: mars.tensor.log1p of
msgid "Return type"
msgstr ""

#: mars.tensor.log1p:22 of
msgid ":func:`expm1`"
msgstr ""

#: mars.tensor.log1p:23 of
msgid "``exp(x) - 1``, the inverse of `log1p`."
msgstr ""

#: mars.tensor.log1p:26 of
msgid "Notes"
msgstr ""

#: mars.tensor.log1p:27 of
msgid ""
"For real-valued input, `log1p` is accurate also for `x` so small that `1 "
"+ x == 1` in floating-point accuracy."
msgstr ""

#: mars.tensor.log1p:30 of
msgid ""
"Logarithm is a multivalued function: for each `x` there is an infinite "
"number of `z` such that `exp(z) = 1 + x`. The convention is to return the"
" `z` whose imaginary part lies in `[-pi, pi]`."
msgstr ""

#: mars.tensor.log1p:34 of
msgid ""
"For real-valued input data types, `log1p` always returns real output. For"
" each value that cannot be expressed as a real number or infinity, it "
"yields ``nan`` and sets the `invalid` floating point error flag."
msgstr ""

#: mars.tensor.log1p:38 of
msgid ""
"For complex-valued input, `log1p` is a complex analytical function that "
"has a branch cut `[-inf, -1]` and is continuous from above on it. `log1p`"
" handles the floating-point negative zero as an infinitesimal negative "
"number, conforming to the C99 standard."
msgstr ""

#: mars.tensor.log1p:44 of
msgid "References"
msgstr ""

#: mars.tensor.log1p:45 of
msgid ""
"M. Abramowitz and I.A. Stegun, \"Handbook of Mathematical Functions\", "
"10th printing, 1964, pp. 67. http://www.math.sfu.ca/~cbm/aands/"
msgstr ""

#: mars.tensor.log1p:47 of
msgid "Wikipedia, \"Logarithm\". http://en.wikipedia.org/wiki/Logarithm"
msgstr ""

#: mars.tensor.log1p:50 of
msgid "Examples"
msgstr ""

