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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 __future__ import absolute_import
18from __future__ import division
19from __future__ import print_function
20
21from tensorflow.python.autograph.converters import logical_expressions
22from tensorflow.python.autograph.core import converter_testing
23from tensorflow.python.framework import constant_op
24from tensorflow.python.framework import test_util
25from tensorflow.python.platform import test
26
27
28class LogicalExpressionTest(converter_testing.TestCase):
29
30  def test_equals(self):
31
32    def f(a, b):
33      return a == b
34
35    tr = self.transform(f, logical_expressions)
36
37    self.assertTrue(self.evaluate(tr(constant_op.constant(1), 1)))
38    self.assertFalse(self.evaluate(tr(constant_op.constant(1), 2)))
39
40  @test_util.run_deprecated_v1
41  def test_bool_ops(self):
42
43    def f(a, b, c):
44      return (a or b) and (a or b or c) and not c
45
46    tr = self.transform(f, logical_expressions)
47
48    self.assertTrue(self.evaluate(tr(constant_op.constant(True), False, False)))
49    self.assertFalse(self.evaluate(tr(constant_op.constant(True), False, True)))
50
51  def test_comparison(self):
52
53    def f(a, b, c, d):
54      return a < b == c > d
55
56    tr = self.transform(f, logical_expressions)
57
58    # Note: having just the first constant a tensor tests that the
59    # operations execute in the correct order. If anything other than
60    # a < b executed first, the result would be a Python scalar and not a
61    # Tensor. This is valid as long as the dispat is automatic based on
62    # type.
63    self.assertTrue(self.evaluate(tr(constant_op.constant(1), 2, 2, 1)))
64    self.assertFalse(self.evaluate(tr(constant_op.constant(1), 2, 2, 3)))
65
66  def test_default_ops(self):
67
68    def f(a, b):
69      return a in b
70
71    tr = self.transform(f, logical_expressions)
72
73    self.assertTrue(tr('a', ('a',)))
74
75  def test_unary_ops(self):
76
77    def f(a):
78      return ~a, -a, +a
79
80    tr = self.transform(f, logical_expressions)
81
82    self.assertEqual(tr(1), (-2, -1, 1))
83
84
85if __name__ == '__main__':
86  test.main()
87