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

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

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

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

#: mars.tensor.nanprod:6 of
msgid ""
"Tensor containing numbers whose product is desired. If `a` is not an "
"tensor, a conversion is attempted."
msgstr ""

#: mars.tensor.nanprod:9 of
msgid ""
"Axis along which the product is computed. The default is to compute the "
"product of the flattened tensor."
msgstr ""

#: mars.tensor.nanprod:12 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.nanprod:19 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.nanprod:25 of
msgid ""
"If 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 `arr`."
msgstr ""

#: mars.tensor.nanprod:29 of
msgid "The number of chunks to combine."
msgstr ""

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

#: mars.tensor.nanprod:32 of
msgid ""
"**nanprod** -- A new tensor holding the result is returned unless `out` "
"is specified, in which case it is returned."
msgstr ""

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

#: mars.tensor.nanprod:39 of
msgid ":func:`mt.prod`"
msgstr ""

#: mars.tensor.nanprod:39 of
msgid "Product across array propagating NaNs."
msgstr ""

#: mars.tensor.nanprod:41 of
msgid ":func:`isnan`"
msgstr ""

#: mars.tensor.nanprod:42 of
msgid "Show which elements are NaN."
msgstr ""

#: mars.tensor.nanprod:45 of
msgid "Examples"
msgstr ""

