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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 list_comprehensions module."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib.autograph.converters import list_comprehensions
from tensorflow.contrib.autograph.core import converter_testing
from tensorflow.python.platform import test
class ListCompTest(converter_testing.TestCase):
def assertTransformedEquivalent(self, test_fn, *inputs):
with self.converted(test_fn, list_comprehensions, {}) as result:
self.assertEqual(test_fn(*inputs), result.test_fn(*inputs))
def test_basic(self):
def test_fn(l):
s = [e * e for e in l]
return s
self.assertTransformedEquivalent(test_fn, [])
self.assertTransformedEquivalent(test_fn, [1, 2, 3])
def test_multiple_generators(self):
def test_fn(l):
s = [e * e for sublist in l for e in sublist]
return s
self.assertTransformedEquivalent(test_fn, [])
self.assertTransformedEquivalent(test_fn, [[1], [2], [3]])
def test_cond(self):
def test_fn(l):
s = [e * e for e in l if e > 1]
return s
self.assertTransformedEquivalent(test_fn, [])
self.assertTransformedEquivalent(test_fn, [1, 2, 3])
if __name__ == '__main__':
test.main()
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