Example #1
0
  def test_rank_should_fail_wrong_expectation_structure(self):
    with self.assertRaisesRegex(  # pylint: disable=g-error-prone-assert-raises
        ValueError, 'Expected ranks should be integers or sets of integers'):
      asserts.assert_rank(rank_array(2), [[1, 2]])  # pytype: disable=wrong-arg-types

    with self.assertRaisesRegex(  # pylint: disable=g-error-prone-assert-raises
        ValueError, 'Expected ranks should be integers or sets of integers'):
      asserts.assert_rank([rank_array(1), rank_array(2)], [[1], [2]])  # pytype: disable=wrong-arg-types
Example #2
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 def test_rank_should_pass_multiple_options(self, arrays, ranks):
   arrays = as_arrays(arrays)
   asserts.assert_rank(arrays, ranks)
Example #3
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 def test_rank_should_pass_repeated_input(self, array, rank):
   arrays = as_arrays([array] * 3)
   asserts.assert_rank(arrays, rank)
Example #4
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 def test_rank_should_pass_single_input(self, array, rank):
   array = np.asarray(array)
   asserts.assert_rank(array, rank)
Example #5
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 def test_rank_should_fail_wrong_length(self, array, rank):
   array = np.asarray(array)
   with self.assertRaisesRegex(
       AssertionError, 'Length of inputs and expected_ranks must match.'):
     asserts.assert_rank(array, rank)
Example #6
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 def test_assert_rank_should_fail_sequence(self, arrays, ranks):
   arrays = as_arrays(arrays)
   with self.assertRaisesRegex(AssertionError,
                               'input .+ has rank .+ but expected .+'):
     asserts.assert_rank(arrays, ranks)
Example #7
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 def test_rank_should_fail_single(self, array, rank):
   array = np.asarray(array)
   with self.assertRaisesRegex(AssertionError,
                               'input .+ has rank .+ but expected .+'):
     asserts.assert_rank(array, rank)
Example #8
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 def test_rank_should_fail_array_expectations(self):
   with self.assertRaisesRegex(  # pylint: disable=g-error-prone-assert-raises
       ValueError,
       'expected ranks should be a collection of integers but was an array'):
     asserts.assert_rank(rank_array(2), np.array([2]))