# 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.
#
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msgid ""
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"Project-Id-Version: mars 0.5.0a2\n"
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"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"
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#: ../../source/reference/tensor/generated/mars.tensor.nansum.rst:2
msgid "mars.tensor.nansum"
msgstr ""

#: mars.tensor.nansum:1 of
msgid ""
"Return the sum of array elements over a given axis treating Not a Numbers"
" (NaNs) as zero."
msgstr ""

#: mars.tensor.nansum:4 of
msgid "Zero is returned for slices that are all-NaN or empty."
msgstr ""

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

#: mars.tensor.nansum:7 of
msgid ""
"Tensor containing numbers whose sum is desired. If `a` is not an tensor, "
"a conversion is attempted."
msgstr ""

#: mars.tensor.nansum:10 of
msgid ""
"Axis along which the sum is computed. The default is to compute the sum "
"of the flattened array."
msgstr ""

#: mars.tensor.nansum:13 of
msgid ""
"The type of the returned tensor and of the accumulator in which the "
"elements are summed.  By default, the dtype of `a` is used.  An exception"
" is when `a` has an integer type with less precision than the platform "
"(u)intp. In that case, the default will be either (u)int32 or (u)int64 "
"depending on whether the platform is 32 or 64 bits. For inexact inputs, "
"dtype must be inexact."
msgstr ""

#: mars.tensor.nansum:20 of
msgid ""
"Alternate output tensor in which to place the result.  The default is "
"``None``. If provided, it must have the same shape as the expected "
"output, but the type will be cast if necessary.  See `doc.ufuncs` for "
"details. The casting of NaN to integer can yield unexpected results."
msgstr ""

#: mars.tensor.nansum:26 of
msgid ""
"If this is set to True, the axes which are reduced are left in the result"
" as dimensions with size one. With this option, the result will broadcast"
" correctly against the original `a`."
msgstr ""

#: mars.tensor.nansum:36 of
msgid "combine_size: int, optional"
msgstr ""

#: mars.tensor.nansum:36 of
msgid "The number of chunks to combine."
msgstr ""

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

#: mars.tensor.nansum:38 of
msgid ""
"**nansum** -- A new tensor holding the result is returned unless `out` is"
" specified, in which it is returned. The result has the same size as `a`,"
" and the same shape as `a` if `axis` is not None or `a` is a 1-d array."
msgstr ""

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

#: mars.tensor.nansum:47 of
msgid ":func:`mt.sum`"
msgstr ""

#: mars.tensor.nansum:47 of
msgid "Sum across tensor propagating NaNs."
msgstr ""

#: mars.tensor.nansum:50 of
msgid ":func:`isnan`"
msgstr ""

#: mars.tensor.nansum:50 of
msgid "Show which elements are NaN."
msgstr ""

#: mars.tensor.nansum:52 of
msgid ":func:`isfinite`"
msgstr ""

#: mars.tensor.nansum:53 of
msgid "Show which elements are not NaN or +/-inf."
msgstr ""

#: mars.tensor.nansum:56 of
msgid "Notes"
msgstr ""

#: mars.tensor.nansum:57 of
msgid ""
"If both positive and negative infinity are present, the sum will be Not A"
" Number (NaN)."
msgstr ""

#: mars.tensor.nansum:61 of
msgid "Examples"
msgstr ""

