>>> import numpy as np
>>> import albumentations as A
>>>
# Apply sepia effect to a uint8 RGB image
>>> image = np.random.randint(0, 256, (100, 100, 3), dtype=np.uint8)
>>> transform = A.ToSepia(p=1.0)
>>> sepia_image = transform(image=image)['image']
>>> assert sepia_image.shape == image.shape
>>> assert sepia_image.dtype == np.uint8
>>>
# Apply sepia effect to a float32 RGB image
>>> image = np.random.rand(100, 100, 3).astype(np.float32)
>>> transform = A.ToSepia(p=1.0)
>>> sepia_image = transform(image=image)['image']
>>> assert sepia_image.shape == image.shape
>>> assert sepia_image.dtype == np.float32
>>> assert 0 <= sepia_image.min() <= sepia_image.max() <= 1.0
>>>
# No effect on grayscale images
>>> gray_image = np.random.randint(0, 256, (100, 100), dtype=np.uint8)
>>> transform = A.ToSepia(p=1.0)
>>> result = transform(image=gray_image)['image']
>>> assert np.array_equal(result, gray_image)