def test_generator_does_not_raise(self):
generator_of_stuff = (tf.constant([11, 22]), tf.constant([1, 2]))
tf.assert_proper_iterable(generator_of_stuff)
def test_non_iterable_object_raises(self):
non_iterable = 1234
with self.assertRaisesRegexp(TypeError, "to be iterable"):
tf.assert_proper_iterable(non_iterable)
def test_list_does_not_raise(self):
list_of_stuff = [tf.constant([11, 22]), tf.constant([1, 2])]
tf.assert_proper_iterable(list_of_stuff)
def test_single_ndarray_raises(self):
array = np.array([1, 2, 3])
with self.assertRaisesRegexp(TypeError, "proper"):
tf.assert_proper_iterable(array)
def test_single_string_raises(self):
mystr = "hello"
with self.assertRaisesRegexp(TypeError, "proper"):
tf.assert_proper_iterable(mystr)
def test_single_tensor_raises(self):
tensor = tf.constant(1)
with self.assertRaisesRegexp(TypeError, "proper"):
tf.assert_proper_iterable(tensor)
def test_single_sparse_tensor_raises(self):
ten = tf.SparseTensor(indices=[[0, 0], [1, 2]],
values=[1, 2],
shape=[3, 4])
with self.assertRaisesRegexp(TypeError, "proper"):
tf.assert_proper_iterable(ten)
def test_list_does_not_raise(self): list_of_stuff = [tf.constant([11, 22]), tf.constant([1, 2])] tf.assert_proper_iterable(list_of_stuff)
def test_generator_does_not_raise(self): generator_of_stuff = (tf.constant([11, 22]), tf.constant([1, 2])) tf.assert_proper_iterable(generator_of_stuff)
def test_non_iterable_object_raises(self):
non_iterable = 1234
with self.assertRaisesRegexp(TypeError, "to be iterable"):
tf.assert_proper_iterable(non_iterable)
def test_single_string_raises(self):
mystr = "hello"
with self.assertRaisesRegexp(TypeError, "proper"):
tf.assert_proper_iterable(mystr)
def test_single_ndarray_raises(self):
array = np.array([1, 2, 3])
with self.assertRaisesRegexp(TypeError, "proper"):
tf.assert_proper_iterable(array)
def test_single_sparse_tensor_raises(self):
ten = tf.SparseTensor(indices=[[0, 0], [1, 2]], values=[1, 2], shape=[3, 4])
with self.assertRaisesRegexp(TypeError, "proper"):
tf.assert_proper_iterable(ten)
def test_single_tensor_raises(self):
tensor = tf.constant(1)
with self.assertRaisesRegexp(TypeError, "proper"):
tf.assert_proper_iterable(tensor)
