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https://github.com/saymrwulf/pytorch.git
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db5e5781ad
Summary: Per title Test Plan: Fixes existing tests Reviewed By: robieta Differential Revision: D28690296 fbshipit-source-id: d7b5b5065517373b75d501872814c89b24ec8cfc
151 lines
4.1 KiB
Python
151 lines
4.1 KiB
Python
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from caffe2.python import core
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from hypothesis import given, settings
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import caffe2.python.hypothesis_test_util as hu
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import caffe2.python.serialized_test.serialized_test_util as serial
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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) if alphabet else st.text(),
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min_size=0,
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max_size=3)
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class TestStringOps(serial.SerializedTestCase):
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@given(strings=_string_lists())
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@settings(deadline=10000)
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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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@settings(deadline=10000)
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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']))
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@settings(deadline=10000)
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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']))
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@settings(deadline=10000)
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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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@given(strings=st.text(alphabet=['a', 'b']))
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@settings(deadline=10000)
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def test_string_equals(self, strings):
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text = ""
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if strings:
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text = strings[0]
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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_equals_ref(strings):
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return (
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np.array([a == text for a in strings], dtype=bool),
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)
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op = core.CreateOperator(
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'StringEquals',
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['strings'],
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['bools'],
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text=text)
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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_equals_ref)
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if __name__ == "__main__":
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import unittest
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unittest.main()
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