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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.
# =============================================================================
# Python3 preparedness imports.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from tensorflow.contrib.proto.python.kernel_tests import test_base
from tensorflow.contrib.proto.python.ops import decode_proto_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import errors
from tensorflow.python.platform import test
class DecodeProtoFailTest(test_base.ProtoOpTestBase):
"""Test failure cases for DecodeToProto."""
def _TestCorruptProtobuf(self, sanitize):
"""Test failure cases for DecodeToProto."""
# The goal here is to check the error reporting.
# Testing against a variety of corrupt protobufs is
# done by fuzzing.
corrupt_proto = 'This is not a binary protobuf'
# Numpy silently truncates the strings if you don't specify dtype=object.
batch = np.array(corrupt_proto, dtype=object)
msg_type = 'tensorflow.contrib.proto.TestCase'
field_names = ['sizes']
field_types = [dtypes.int32]
with self.test_session() as sess:
ctensor, vtensor = decode_proto_op.decode_proto(
batch,
message_type=msg_type,
field_names=field_names,
output_types=field_types,
sanitize=sanitize)
with self.assertRaisesRegexp(errors.DataLossError,
'Unable to parse binary protobuf'
'|Failed to consume entire buffer'):
_ = sess.run([ctensor] + vtensor)
def testCorrupt(self):
self._TestCorruptProtobuf(sanitize=False)
def testSanitizerCorrupt(self):
self._TestCorruptProtobuf(sanitize=True)
if __name__ == '__main__':
test.main()
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