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from keras_preprocessing import image
def test_api_classes():
expected_exposed_classes = [
'DataFrameIterator',
'DirectoryIterator',
'ImageDataGenerator',
'Iterator',
'NumpyArrayIterator',
]
for _class in expected_exposed_classes:
assert hasattr(image, _class)
def test_api_functions():
expected_exposed_functions = [
'flip_axis',
'random_rotation',
'random_shift',
'random_shear',
'random_zoom',
'apply_channel_shift',
'random_channel_shift',
'apply_brightness_shift',
'random_brightness',
'transform_matrix_offset_center',
'apply_affine_transform',
'validate_filename',
'save_img',
'load_img',
'list_pictures',
'array_to_img',
'img_to_array'
]
for function in expected_exposed_functions:
assert hasattr(image, function)
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