
import numpy as np
import PIL
import torch
import torchvision.transforms as T
import torchvision.transforms.functional as TF
from PIL import Image





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase      ,						__lowerCAmelCase=256							):
    snake_case__  =			min(img.size							)

    if s < target_image_size:
        raise ValueError(F"""min dim for image {s} < {target_image_size}"""							)

    snake_case__  =			target_image_size / s
    snake_case__  =			(round(r * img.size[1]							), round(r * img.size[0]							))
    snake_case__  =			TF.resize(__lowerCAmelCase      ,						__lowerCAmelCase      ,						interpolation=PIL.Image.LANCZOS							)
    snake_case__  =			TF.center_crop(__lowerCAmelCase      ,						output_size=2 * [target_image_size]							)
    snake_case__  =			torch.unsqueeze(T.ToTensor()(__lowerCAmelCase							)      ,						0							)
    return img





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):
    snake_case__  =			2.0 * x - 1.0
    return x





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase      ,						__lowerCAmelCase=True      ,						__lowerCAmelCase="RGB"							):
    snake_case__  =			x.detach().cpu()
    if process:
        snake_case__  =			post_process_tensor(__lowerCAmelCase							)
    snake_case__  =			x.numpy()
    if process:
        snake_case__  =			(255 * x).astype(np.uinta							)
    snake_case__  =			Image.fromarray(__lowerCAmelCase							)
    if not x.mode == mode:
        snake_case__  =			x.convert(__lowerCAmelCase							)
    return x





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):
    snake_case__  =			torch.clamp(__lowerCAmelCase      ,						-1.0      ,						1.0							)
    snake_case__  =			(x + 1.0) / 2.0
    snake_case__  =			x.permute(1      ,						2      ,						0							)
    return x





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):
    snake_case__  =			post_process_tensor(x.squeeze()							)
    return x.permute(2      ,						0      ,						1							).unsqueeze(0							)





def 		SCREAMING_SNAKE_CASE__      ( __lowerCAmelCase							):
    if len(__lowerCAmelCase							) > 1:
        snake_case__  =			len(__lowerCAmelCase							) // 2  # Finds the middle of the array
        snake_case__  =			arr[
            :middle_length
        ]  # Creates an array of the elements in the first half.
        snake_case__  =			arr[
            middle_length:
        ]  # Creates an array of the elements in the second half.
        snake_case__  =			len(__lowerCAmelCase							)
        snake_case__  =			len(__lowerCAmelCase							)
        merge(__lowerCAmelCase							)  # Starts sorting the left.
        merge(__lowerCAmelCase							)  # Starts sorting the right
        snake_case__  =			0  # Left Counter
        snake_case__  =			0  # Right Counter
        snake_case__  =			0  # Position Counter
        while (
            left_index < left_size and right_index < right_size
        ):  # Runs until the lowers size of the left and right are sorted.
            if left_array[left_index] < right_array[right_index]:
                snake_case__  =			left_array[left_index]
                left_index += 1
            else:
                snake_case__  =			right_array[right_index]
                right_index += 1
            index += 1
        while (
            left_index < left_size
        ):  # Adds the left over elements in the left half of the array
            snake_case__  =			left_array[left_index]
            left_index += 1
            index += 1
        while (
            right_index < right_size
        ):  # Adds the left over elements in the right half of the array
            snake_case__  =			right_array[right_index]
            right_index += 1
            index += 1
    return arr


if __name__ == "__main__":
     import doctest

     doctest.testmod()



