# 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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"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.nanargmax.rst:2
msgid "mars.tensor.nanargmax"
msgstr ""

#: mars.tensor.nanargmax:1 of
msgid ""
"Return the indices of the maximum values in the specified axis ignoring "
"NaNs. For all-NaN slices ``ValueError`` is raised. Warning: the results "
"cannot be trusted if a slice contains only NaNs and -Infs."
msgstr ""

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

#: mars.tensor.nanargmax:6 of
msgid "Input data."
msgstr ""

#: mars.tensor.nanargmax:8 of
msgid "Axis along which to operate.  By default flattened input is used."
msgstr ""

#: mars.tensor.nanargmax:10 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."
msgstr ""

#: mars.tensor.nanargmax:15 of
msgid "The number of chunks to combine."
msgstr ""

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

#: mars.tensor.nanargmax:18 of
msgid "**index_array** -- An tensor of indices or a single index value."
msgstr ""

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

#: mars.tensor.nanargmax:21 of
msgid ":func:`argmax`, :func:`nanargmin`"
msgstr ""

#: mars.tensor.nanargmax:24 of
msgid "Examples"
msgstr ""

