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# Copyright 2017 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 DecodeBmpOp."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.ops import array_ops
from tensorflow.python.ops import image_ops
from tensorflow.python.platform import test
class DecodeBmpOpTest(test.TestCase):
def testex1(self):
img_bytes = [[[0, 0, 255], [0, 255, 0]], [[255, 0, 0], [255, 255, 255]]]
# Encoded BMP bytes from Wikipedia
encoded_bytes = [
0x42,
0x40,
0x46,
0,
0,
0,
0,
0,
0,
0,
0x36,
0,
0,
0,
0x28,
0,
0,
0,
0x2,
0,
0,
0,
0x2,
0,
0,
0,
0x1,
0,
0x18,
0,
0,
0,
0,
0,
0x10,
0,
0,
0,
0x13,
0xb,
0,
0,
0x13,
0xb,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0xff,
0xff,
0xff,
0xff,
0,
0,
0xff,
0,
0,
0,
0xff,
0,
0,
0,
]
byte_string = bytes(bytearray(encoded_bytes))
img_in = constant_op.constant(byte_string, dtype=dtypes.string)
decode = array_ops.squeeze(image_ops.decode_bmp(img_in))
with self.test_session():
decoded = decode.eval()
self.assertAllEqual(decoded, img_bytes)
if __name__ == "__main__":
test.main()
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