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98 lines
3.1 KiB
98 lines
3.1 KiB
# Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserved
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import print_function
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import paddle.dataset.common
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import unittest
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import tempfile
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import glob
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from six.moves import range
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class TestCommon(unittest.TestCase):
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def test_md5file(self):
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_, temp_path = tempfile.mkstemp()
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with open(temp_path, 'w') as f:
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f.write("Hello\n")
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self.assertEqual('09f7e02f1290be211da707a266f153b3',
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paddle.dataset.common.md5file(temp_path))
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def test_download(self):
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yi_avatar = 'https://avatars0.githubusercontent.com/u/1548775?v=3&s=460'
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self.assertEqual(
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paddle.dataset.common.DATA_HOME + '/test/1548775?v=3&s=460',
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paddle.dataset.common.download(yi_avatar, 'test',
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'f75287202d6622414c706c36c16f8e0d'))
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def test_split(self):
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def test_reader():
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def reader():
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for x in range(10):
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yield x
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return reader
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_, temp_path = tempfile.mkstemp()
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paddle.dataset.common.split(
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test_reader(), 4, suffix=temp_path + '/test-%05d.pickle')
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files = glob.glob(temp_path + '/test-%05d.pickle')
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self.assertEqual(len(files), 3)
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def test_cluster_file_reader(self):
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_, temp_path = tempfile.mkstemp()
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for x in range(5):
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with open(temp_path + '/%05d.test' % x) as f:
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f.write('%d\n' % x)
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reader = paddle.dataset.common.cluster_files_reader(
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temp_path + '/*.test', 5, 0)
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for idx, e in enumerate(reader()):
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self.assertEqual(e, str("0"))
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def test_convert(self):
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record_num = 10
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num_shards = 4
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def test_reader():
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def reader():
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for x in range(record_num):
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yield x
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return reader
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path = tempfile.mkdtemp()
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paddle.dataset.common.convert(path,
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test_reader(), num_shards,
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'random_images')
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files = glob.glob(path + '/random_images-*')
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self.assertEqual(len(files), num_shards)
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recs = []
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for i in range(0, num_shards):
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n = "%s/random_images-%05d-of-%05d" % (path, i, num_shards - 1)
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r = recordio.reader(n)
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while True:
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d = r.read()
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if d is None:
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break
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recs.append(d)
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recs.sort()
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self.assertEqual(total, record_num)
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if __name__ == '__main__':
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unittest.main()
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