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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 the CsvDataset serialization."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import gzip
import os
from tensorflow.contrib.data.python.kernel_tests.serialization import dataset_serialization_test_base
from tensorflow.contrib.data.python.ops import readers
from tensorflow.python.platform import test
class CsvDatasetSerializationTest(
dataset_serialization_test_base.DatasetSerializationTestBase):
def setUp(self):
self._num_cols = 7
self._num_rows = 10
self._num_epochs = 14
self._num_outputs = self._num_rows * self._num_epochs
inputs = [
",".join(str(self._num_cols * j + i)
for i in range(self._num_cols))
for j in range(self._num_rows)
]
contents = "\n".join(inputs).encode("utf-8")
self._filename = os.path.join(self.get_temp_dir(), "file.csv")
self._compressed = os.path.join(self.get_temp_dir(),
"comp.csv") # GZip compressed
with open(self._filename, "wb") as f:
f.write(contents)
with gzip.GzipFile(self._compressed, "wb") as f:
f.write(contents)
def ds_func(self, **kwargs):
compression_type = kwargs.get("compression_type", None)
if compression_type == "GZIP":
filename = self._compressed
elif compression_type is None:
filename = self._filename
else:
raise ValueError("Invalid compression type:", compression_type)
return readers.CsvDataset(filename, **kwargs).repeat(self._num_epochs)
def testSerializationCore(self):
defs = [[0]] * self._num_cols
self.run_core_tests(
lambda: self.ds_func(record_defaults=defs, buffer_size=2),
lambda: self.ds_func(record_defaults=defs, buffer_size=12),
self._num_outputs)
if __name__ == "__main__":
test.main()
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