def test_any_dataset(self):
dataset_1 = dataset_ops.DatasetV2.from_tensor_slices([False, True, False])
dataset_2 = dataset_ops.DatasetV2.from_tensor_slices([False, False, False])
self.assertEqual(self.evaluate(py_builtins.any_(dataset_1)), True)
self.assertEqual(self.evaluate(py_builtins.any_(dataset_2)), False)
dataset_3 = dataset_ops.DatasetV2.from_tensor_slices([0, 1, 2])
with self.assertRaises(ValueError):
py_builtins.any_(dataset_3)
dataset_4 = dataset_ops.DatasetV2.from_tensor_slices([False, True, False])
dataset_zipped = dataset_ops.DatasetV2.zip((dataset_4, dataset_4))
with self.assertRaises(ValueError):
py_builtins.any_(dataset_zipped)
dataset_mixed = dataset_ops.DatasetV2.zip((dataset_3, dataset_4))
with self.assertRaises(ValueError):
py_builtins.any_(dataset_mixed)
def test_any(self):
self.assertEqual(py_builtins.any_([False, True, False]), True)
self.assertEqual(py_builtins.any_([False, False, False]), False)