mirror of
https://github.com/saymrwulf/pytorch.git
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8286ce1e3a
Summary: Closes https://github.com/caffe2/caffe2/pull/1260 Differential Revision: D5906739 Pulled By: Yangqing fbshipit-source-id: e482ba9ba60b5337d9165f28f7ec68d4518a0902
133 lines
4 KiB
Python
133 lines
4 KiB
Python
# Copyright (c) 2016-present, Facebook, Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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##############################################################################
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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from __future__ import unicode_literals
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from caffe2.python import core
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from hypothesis import given
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import caffe2.python.hypothesis_test_util as hu
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import hypothesis.strategies as st
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import numpy as np
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def _string_lists(alphabet=None):
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return st.lists(
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elements=st.text(alphabet=alphabet, average_size=3),
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min_size=0,
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max_size=3)
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class TestStringOps(hu.HypothesisTestCase):
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@given(strings=_string_lists())
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def test_string_prefix(self, strings):
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length = 3
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# although we are utf-8 encoding below to avoid python exceptions,
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# StringPrefix op deals with byte-length prefixes, which may produce
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# an invalid utf-8 string. The goal here is just to avoid python
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# complaining about the unicode -> str conversion.
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strings = np.array(
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[a.encode('utf-8') for a in strings], dtype=np.object
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)
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def string_prefix_ref(strings):
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return (
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np.array([a[:length] for a in strings], dtype=object),
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)
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op = core.CreateOperator(
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'StringPrefix',
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['strings'],
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['stripped'],
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length=length)
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self.assertReferenceChecks(
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hu.cpu_do,
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op,
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[strings],
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string_prefix_ref)
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@given(strings=_string_lists())
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def test_string_suffix(self, strings):
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length = 3
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strings = np.array(
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[a.encode('utf-8') for a in strings], dtype=np.object
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)
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def string_suffix_ref(strings):
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return (
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np.array([a[-length:] for a in strings], dtype=object),
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)
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op = core.CreateOperator(
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'StringSuffix',
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['strings'],
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['stripped'],
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length=length)
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self.assertReferenceChecks(
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hu.cpu_do,
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op,
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[strings],
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string_suffix_ref)
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@given(strings=st.text(alphabet=['a', 'b'], average_size=3))
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def test_string_starts_with(self, strings):
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prefix = 'a'
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strings = np.array(
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[str(a) for a in strings], dtype=np.object
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)
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def string_starts_with_ref(strings):
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return (
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np.array([a.startswith(prefix) for a in strings], dtype=bool),
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)
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op = core.CreateOperator(
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'StringStartsWith',
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['strings'],
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['bools'],
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prefix=prefix)
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self.assertReferenceChecks(
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hu.cpu_do,
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op,
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[strings],
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string_starts_with_ref)
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@given(strings=st.text(alphabet=['a', 'b'], average_size=3))
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def test_string_ends_with(self, strings):
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suffix = 'a'
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strings = np.array(
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[str(a) for a in strings], dtype=np.object
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)
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def string_ends_with_ref(strings):
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return (
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np.array([a.endswith(suffix) for a in strings], dtype=bool),
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)
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op = core.CreateOperator(
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'StringEndsWith',
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['strings'],
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['bools'],
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suffix=suffix)
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self.assertReferenceChecks(
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hu.cpu_do,
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op,
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[strings],
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string_ends_with_ref)
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if __name__ == "__main__":
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import unittest
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unittest.main()
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