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# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Tests for RegexReplace op from string_ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from absl.testing import parameterized
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import gen_string_ops
from tensorflow.python.ops import string_ops
from tensorflow.python.platform import test
@parameterized.parameters(
(gen_string_ops.regex_replace),
(gen_string_ops.static_regex_replace))
class RegexReplaceOpVariantsTest(test.TestCase, parameterized.TestCase):
def testForwarding(self, op):
with self.cached_session():
# Generate an input that is uniquely consumed by the regex op.
# This exercises code paths which are optimized for this case
# (e.g., using forwarding).
inp = string_ops.substr(
constant_op.constant(["AbCdEfG",
"HiJkLmN"], dtypes.string),
pos=0,
len=5)
stripped = op(inp, "\\p{Ll}", ".").eval()
self.assertAllEqual([b"A.C.E", b"H.J.L"], stripped)
def testRemovePrefix(self, op):
values = ["a:foo", "a:bar", "a:foo", "b:baz", "b:qux", "ca:b"]
with self.cached_session():
input_vector = constant_op.constant(values, dtypes.string)
stripped = op(input_vector, "^(a:|b:)", "", replace_global=False).eval()
self.assertAllEqual([b"foo", b"bar", b"foo", b"baz", b"qux", b"ca:b"],
stripped)
def testRegexReplace(self, op):
values = ["aba\naba", "abcdabcde"]
with self.cached_session():
input_vector = constant_op.constant(values, dtypes.string)
stripped = op(input_vector, "a.*a", "(\\0)").eval()
self.assertAllEqual([b"(aba)\n(aba)", b"(abcda)bcde"], stripped)
def testEmptyMatch(self, op):
values = ["abc", "1"]
with self.cached_session():
input_vector = constant_op.constant(values, dtypes.string)
stripped = op(input_vector, "", "x").eval()
self.assertAllEqual([b"xaxbxcx", b"x1x"], stripped)
def testInvalidPattern(self, op):
values = ["abc", "1"]
with self.cached_session():
input_vector = constant_op.constant(values, dtypes.string)
invalid_pattern = "A["
replace = op(input_vector, invalid_pattern, "x")
with self.assertRaisesOpError("Invalid pattern"):
replace.eval()
def testGlobal(self, op):
values = ["ababababab", "abcabcabc", ""]
with self.cached_session():
input_vector = constant_op.constant(values, dtypes.string)
stripped = op(input_vector, "ab", "abc", True).eval()
self.assertAllEqual([b"abcabcabcabcabc", b"abccabccabcc", b""], stripped)
def as_string(s):
return s
def as_tensor(s):
return constant_op.constant(s, dtypes.string)
class RegexReplaceTest(test.TestCase, parameterized.TestCase):
@parameterized.parameters(
(as_string, as_tensor),
(as_tensor, as_string),
(as_tensor, as_tensor))
def testRegexReplaceDelegation(self, pattern_fn, rewrite_fn):
with self.cached_session():
input_vector = constant_op.constant("foo", dtypes.string)
pattern = pattern_fn("[a-z]")
replace = rewrite_fn(".")
op = string_ops.regex_replace(input_vector, pattern, replace)
self.assertTrue(op.name.startswith("RegexReplace"))
def testStaticRegexReplaceDelegation(self):
with self.cached_session():
input_vector = constant_op.constant("foo", dtypes.string)
pattern = "[a-z]"
replace = "."
op = string_ops.regex_replace(input_vector, pattern, replace)
self.assertTrue(op.name.startswith("StaticRegexReplace"))
if __name__ == "__main__":
test.main()
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