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1# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#     http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14# ==============================================================================
15"""Tests for logical_expressions module."""
16
17from tensorflow.python.autograph.converters import logical_expressions
18from tensorflow.python.autograph.core import converter_testing
19from tensorflow.python.framework import constant_op
20from tensorflow.python.framework import test_util
21from tensorflow.python.platform import test
22
23
24class LogicalExpressionTest(converter_testing.TestCase):
25
26  def test_equals(self):
27
28    def f(a, b):
29      return a == b
30
31    tr = self.transform(f, logical_expressions)
32
33    self.assertTrue(self.evaluate(tr(constant_op.constant(1), 1)))
34    self.assertFalse(self.evaluate(tr(constant_op.constant(1), 2)))
35
36  @test_util.run_deprecated_v1
37  def test_bool_ops(self):
38
39    def f(a, b, c):
40      return (a or b) and (a or b or c) and not c
41
42    tr = self.transform(f, logical_expressions)
43
44    self.assertTrue(self.evaluate(tr(constant_op.constant(True), False, False)))
45    self.assertFalse(self.evaluate(tr(constant_op.constant(True), False, True)))
46
47  def test_comparison(self):
48
49    def f(a, b, c, d):
50      return a < b == c > d
51
52    tr = self.transform(f, logical_expressions)
53
54    # Note: having just the first constant a tensor tests that the
55    # operations execute in the correct order. If anything other than
56    # a < b executed first, the result would be a Python scalar and not a
57    # Tensor. This is valid as long as the dispat is automatic based on
58    # type.
59    self.assertTrue(self.evaluate(tr(constant_op.constant(1), 2, 2, 1)))
60    self.assertFalse(self.evaluate(tr(constant_op.constant(1), 2, 2, 3)))
61
62  def test_default_ops(self):
63
64    def f(a, b):
65      return a in b
66
67    tr = self.transform(f, logical_expressions)
68
69    self.assertTrue(tr('a', ('a',)))
70
71  def test_unary_ops(self):
72
73    def f(a):
74      return ~a, -a, +a
75
76    tr = self.transform(f, logical_expressions)
77
78    self.assertEqual(tr(1), (-2, -1, 1))
79
80
81if __name__ == '__main__':
82  test.main()
83