



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






def 			__lowercase     (				a__							,     a__=2_56     )       ->				int:
       __SCREAMING_SNAKE_CASE								=      min(img.size     )

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

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






def 			__lowercase     (				a__     )       ->				Any:
       __SCREAMING_SNAKE_CASE								=      2.0 * x - 1.0
       return x






def 			__lowercase     (				a__							,     a__=True							,     a__="RGB"     )       ->				str:
       __SCREAMING_SNAKE_CASE								=      x.detach().cpu()
       if process:
              __SCREAMING_SNAKE_CASE								=      post_process_tensor(a__     )
       __SCREAMING_SNAKE_CASE								=      x.numpy()
       if process:
              __SCREAMING_SNAKE_CASE								=      (2_55 * x).astype(np.uinta     )
       __SCREAMING_SNAKE_CASE								=      Image.fromarray(a__     )
       if not x.mode == mode:
              __SCREAMING_SNAKE_CASE								=      x.convert(a__     )
       return x






def 			__lowercase     (				a__     )       ->				Any:
       __SCREAMING_SNAKE_CASE								=      torch.clamp(a__							,     -1.0							,     1.0     )
       __SCREAMING_SNAKE_CASE								=      (x + 1.0) / 2.0
       __SCREAMING_SNAKE_CASE								=      x.permute(1							,     2							,     0     )
       return x






def 			__lowercase     (				a__     )       ->				Dict:
       __SCREAMING_SNAKE_CASE								=      post_process_tensor(x.squeeze()     )
       return x.permute(2							,     0							,     1     ).unsqueeze(0     )











from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any

class      UpperCAmelCase_						:

						'''simple docstring'''




						UpperCamelCase__    :				List[str]       						=						('''_front''', '''_back''', '''_len''')

						@dataclass
						class      UpperCAmelCase_						:

												'''simple docstring'''




												UpperCamelCase__    :				Any       						=						None
												UpperCamelCase__    :				Deque._Node | None       						=						None
												UpperCamelCase__    :				Deque._Node | None       						=						None







						class      UpperCAmelCase_						:

												'''simple docstring'''




												UpperCamelCase__    :				Optional[int]       						=						('''_cur''',)






												def __init__(					self   ,							_A	):







																			'''simple docstring'''

																			__SCREAMING_SNAKE_CASE								=      cur






												def __iter__(					self	):







																			'''simple docstring'''

																			return self






												def  _A			(					self	):







																			'''simple docstring'''

																			if self._cur is None:
																										# finished iterating
																										raise StopIteration
																			__SCREAMING_SNAKE_CASE								=      self._cur.val
																			__SCREAMING_SNAKE_CASE								=      self._cur.next_node

																			return val







						def __init__(					self   ,							_A = None	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      None
													__SCREAMING_SNAKE_CASE								=      None
													__SCREAMING_SNAKE_CASE								=      0

													if iterable is not None:
																				# append every value to the deque
																				for val in iterable:
																											self.append(_A	)






						def  _A			(					self   ,							_A	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      self._Node(_A   ,							_A   ,							_A	)
													if self.is_empty():
																				# front = back
																				__SCREAMING_SNAKE_CASE								=      __SCREAMING_SNAKE_CASE								=      node
																				__SCREAMING_SNAKE_CASE								=      1
													else:
																				# connect nodes
																				__SCREAMING_SNAKE_CASE								=      node
																				__SCREAMING_SNAKE_CASE								=      self._back
																				__SCREAMING_SNAKE_CASE								=      node  # assign new back to the new node

																				self._len += 1

																				# make sure there were no errors
																				assert not self.is_empty(), "Error on appending value."






						def  _A			(					self   ,							_A	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      self._Node(_A   ,							_A   ,							_A	)
													if self.is_empty():
																				# front = back
																				__SCREAMING_SNAKE_CASE								=      __SCREAMING_SNAKE_CASE								=      node
																				__SCREAMING_SNAKE_CASE								=      1
													else:
																				# connect nodes
																				__SCREAMING_SNAKE_CASE								=      self._front
																				__SCREAMING_SNAKE_CASE								=      node
																				__SCREAMING_SNAKE_CASE								=      node  # assign new front to the new node

																				self._len += 1

																				# make sure there were no errors
																				assert not self.is_empty(), "Error on appending value."






						def  _A			(					self   ,							_A	):







													'''simple docstring'''

													for val in iterable:
																				self.append(_A	)






						def  _A			(					self   ,							_A	):







													'''simple docstring'''

													for val in iterable:
																				self.appendleft(_A	)






						def  _A			(					self	):







													'''simple docstring'''

													assert not self.is_empty(), "Deque is empty."

													__SCREAMING_SNAKE_CASE								=      self._back
													__SCREAMING_SNAKE_CASE								=      self._back.prev_node  # set new back
													# drop the last node - python will deallocate memory automatically
													__SCREAMING_SNAKE_CASE								=      None

													self._len -= 1

													return topop.val






						def  _A			(					self	):







													'''simple docstring'''

													assert not self.is_empty(), "Deque is empty."

													__SCREAMING_SNAKE_CASE								=      self._front
													__SCREAMING_SNAKE_CASE								=      self._front.next_node  # set new front and drop the first node
													__SCREAMING_SNAKE_CASE								=      None

													self._len -= 1

													return topop.val






						def  _A			(					self	):







													'''simple docstring'''

													return self._front is None






						def __len__(					self	):







													'''simple docstring'''

													return self._len






						def __eq__(					self   ,							_A	):







													'''simple docstring'''

													if not isinstance(_A   ,							_A	):
																				return NotImplemented

													__SCREAMING_SNAKE_CASE								=      self._front
													__SCREAMING_SNAKE_CASE								=      other._front

													# if the length of the dequeues are not the same, they are not equal
													if len(self	) != len(_A	):
																				return False

													while me is not None and oth is not None:
																				# compare every value
																				if me.val != oth.val:
																											return False
																				__SCREAMING_SNAKE_CASE								=      me.next_node
																				__SCREAMING_SNAKE_CASE								=      oth.next_node

													return True






						def __iter__(					self	):







													'''simple docstring'''

													return Deque._Iterator(self._front	)






						def __repr__(					self	):







													'''simple docstring'''

													__SCREAMING_SNAKE_CASE								=      []
													__SCREAMING_SNAKE_CASE								=      self._front
													while aux is not None:
																				# append the values in a list to display
																				values_list.append(aux.val	)
																				__SCREAMING_SNAKE_CASE								=      aux.next_node

													return f"""[{", ".join(repr(_A	) for val in values_list	)}]"""


if __name__ == "__main__":
			import doctest

			doctest.testmod()






