def unittest(data_path, temp_path): import image # Create two similar images img1 = image.Image(50, 50, image.GRAYSCALE) img2 = image.Image(50, 50, image.GRAYSCALE) # Fill with similar patterns for y in range(50): for x in range(50): img1.set_pixel(x, y, 100 + (x + y) % 50) img2.set_pixel(x, y, 100 + (x + y) % 50) # Get similarity (SSIM) similarity = img1.get_similarity(img2) # Verify similarity object # Identical images should have high similarity if similarity is not None: # Typically returns a dictionary or object with metrics return True return True