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

#: mars.tensor.amin:1 of
msgid "Return the minimum of a tensor or minimum along an axis."
msgstr ""

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

#: mars.tensor.amin:3 of
msgid "Input data."
msgstr ""

#: mars.tensor.amin:5 of
msgid ""
"Axis or axes along which to operate.  By default, flattened input is "
"used.  If this is a tuple of ints, the minimum is selected over multiple "
"axes, instead of a single axis or all the axes as before."
msgstr ""

#: mars.tensor.amin:5 of
msgid "Axis or axes along which to operate.  By default, flattened input is used."
msgstr ""

#: mars.tensor.amin:8 of
msgid ""
"If this is a tuple of ints, the minimum is selected over multiple axes, "
"instead of a single axis or all the axes as before."
msgstr ""

#: mars.tensor.amin:11 of
msgid ""
"Alternative output tensor in which to place the result.  Must be of the "
"same shape and buffer length as the expected output. See `doc.ufuncs` "
"(Section \"Output arguments\") for more details."
msgstr ""

#: mars.tensor.amin:15 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 input tensor.  If the default value is passed, "
"then `keepdims` will not be passed through to the `amin` method of sub-"
"classes of `Tensor`, however any non-default value will be.  If the sub-"
"classes `sum` method does not implement `keepdims` any exceptions will be"
" raised."
msgstr ""

#: mars.tensor.amin:15 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 input tensor."
msgstr ""

#: mars.tensor.amin:19 of
msgid ""
"If the default value is passed, then `keepdims` will not be passed "
"through to the `amin` method of sub-classes of `Tensor`, however any non-"
"default value will be.  If the sub-classes `sum` method does not "
"implement `keepdims` any exceptions will be raised."
msgstr ""

#: mars.tensor.amin:25 of
msgid "The number of chunks to combine."
msgstr ""

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

#: mars.tensor.amin:28 of
msgid ""
"**amin** -- Minimum of `a`. If `axis` is None, the result is a scalar "
"value. If `axis` is given, the result is an array of dimension ``a.ndim -"
" 1``."
msgstr ""

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

#: mars.tensor.amin:36 of
msgid ":func:`amax`"
msgstr ""

#: mars.tensor.amin:36 of
msgid "The maximum value of a tensor along a given axis, propagating any NaNs."
msgstr ""

#: mars.tensor.amin:39 of
msgid ":func:`nanmin`"
msgstr ""

#: mars.tensor.amin:39 of
msgid "The minimum value of a tensor along a given axis, ignoring any NaNs."
msgstr ""

#: mars.tensor.amin:42 of
msgid ":func:`minimum`"
msgstr ""

#: mars.tensor.amin:42 of
msgid "Element-wise minimum of two tensors, propagating any NaNs."
msgstr ""

#: mars.tensor.amin:45 of
msgid ":func:`fmin`"
msgstr ""

#: mars.tensor.amin:45 of
msgid "Element-wise minimum of two tensors, ignoring any NaNs."
msgstr ""

#: mars.tensor.amin:48 of
msgid ":func:`argmin`"
msgstr ""

#: mars.tensor.amin:48 of
msgid "Return the indices of the minimum values."
msgstr ""

#: mars.tensor.amin:50 of
msgid ":func:`nanmax`, :func:`maximum`, :func:`fmax`"
msgstr ""

#: mars.tensor.amin:53 of
msgid "Notes"
msgstr ""

#: mars.tensor.amin:54 of
msgid ""
"NaN values are propagated, that is if at least one item is NaN, the "
"corresponding min value will be NaN as well. To ignore NaN values (MATLAB"
" behavior), please use nanmin."
msgstr ""

#: mars.tensor.amin:58 of
msgid ""
"Don't use `amin` for element-wise comparison of 2 tensors; when "
"``a.shape[0]`` is 2, ``minimum(a[0], a[1])`` is faster than ``amin(a, "
"axis=0)``."
msgstr ""

#: mars.tensor.amin:63 of
msgid "Examples"
msgstr ""

