

from typing import Optional, Union

import numpy as np

from ...image_processing_utils import BaseImageProcessor, BatchFeature
from ...image_transforms import get_image_size, pad, rescale, to_channel_dimension_format
from ...image_utils import ChannelDimension, ImageInput, make_list_of_images, to_numpy_array, valid_images
from ...utils import TensorType, logging


lowerCamelCase           =					logging.get_logger(__name__)







class 						__magic_name__			(							__a							):

   '''simple docstring'''




   lowerCamelCase__ :	List[str]    =   ['''pixel_values''']



   def __init__(				self,    lowercase_ = True,    lowercase_ = 1 / 255,    lowercase_ = True,    lowercase_ = 8,    **lowercase_,    )							->    None:






     """simple docstring"""






     super().__init__(**__a       )

     a__  =do_rescale
     a__  =rescale_factor
     a__  =do_pad
     a__  =pad_size



   def  _UpperCAmelCase (				self,    lowercase_,    lowercase_,    lowercase_ = None,    **lowercase_       )							->    np.ndarray:






     """simple docstring"""






     return rescale(__a,    scale=__a,    data_format=__a,    **__a       )



   def  _UpperCAmelCase (				self,    lowercase_,    lowercase_,    lowercase_ = None       )							->    Dict:






     """simple docstring"""






     a__  =get_image_size(__a       )
     a__  =(old_height // size + 1) * size - old_height
     a__  =(old_width // size + 1) * size - old_width

     return pad(__a,    ((0, pad_height), (0, pad_width)),    mode='''symmetric''',    data_format=__a       )



   def  _UpperCAmelCase (				self,    lowercase_,    lowercase_ = None,    lowercase_ = None,    lowercase_ = None,    lowercase_ = None,    lowercase_ = None,    lowercase_ = ChannelDimension.FIRST,    **lowercase_,    )							->    Union[str, Any]:






     """simple docstring"""






     a__  =do_rescale if do_rescale is not None else self.do_rescale
     a__  =rescale_factor if rescale_factor is not None else self.rescale_factor
     a__  =do_pad if do_pad is not None else self.do_pad
     a__  =pad_size if pad_size is not None else self.pad_size

     a__  =make_list_of_images(__a       )

     if not valid_images(__a       ):
       raise ValueError(
           '''Invalid image type. Must be of type PIL.Image.Image, numpy.ndarray, '''
           '''torch.Tensor, tf.Tensor or jax.ndarray.'''       )

     if do_rescale and rescale_factor is None:
       raise ValueError('''Rescale factor must be specified if do_rescale is True.'''       )

     # All transformations expect numpy arrays.
     a__  =[to_numpy_array(__a       ) for image in images]

     if do_rescale:
       a__  =[self.rescale(image=__a,    scale=__a       ) for image in images]

     if do_pad:
       a__  =[self.pad(__a,    size=__a       ) for image in images]

     a__  =[to_channel_dimension_format(__a,    __a       ) for image in images]

     a__  ={"""pixel_values""": images}
     return BatchFeature(data=__a,    tensor_type=__a       )








lowerCamelCase       :       Optional[Any]        =				'''ABCDEFGHIJKLMNOPQRSTUVWXYZ'''
def 					snake_case_						(   ):
							__lowercase					:							List[str]			=   input("""Enter message: """					)
							__lowercase					:							int			=   input("""Enter key [alphanumeric]: """					)
							__lowercase					:							Optional[Any]			=   input("""Encrypt/Decrypt [e/d]: """					)

							if mode.lower().startswith("""e"""					):
														__lowercase					:							Optional[int]			=   """encrypt"""
														__lowercase					:							Dict			=   encrypt_message(lowerCAmelCase_				,				lowerCAmelCase_					)
							elif mode.lower().startswith("""d"""					):
														__lowercase					:							Union[str, Any]			=   """decrypt"""
														__lowercase					:							Optional[int]			=   decrypt_message(lowerCAmelCase_				,				lowerCAmelCase_					)

							print(F"\n{mode.title()}ed message:"					)
							print(lowerCAmelCase_					)
def 					snake_case_						(   lowerCAmelCase_				:  str				,				lowerCAmelCase_				:  str					):
							return translate_message(lowerCAmelCase_				,				lowerCAmelCase_				,				"""encrypt"""					)
def 					snake_case_						(   lowerCAmelCase_				:  str				,				lowerCAmelCase_				:  str					):
							return translate_message(lowerCAmelCase_				,				lowerCAmelCase_				,				"""decrypt"""					)
def 					snake_case_						(   lowerCAmelCase_				:  str				,				lowerCAmelCase_				:  str				,				lowerCAmelCase_				:  str					):
							__lowercase					:							Union[str, Any]			=   []
							__lowercase					:							Tuple			=   0
							__lowercase					:							Dict			=   key.upper()

							for symbol in message:
														__lowercase					:							Optional[Any]			=   LETTERS.find(symbol.upper()					)
														if num != -1:
																					if mode == "encrypt":
																												num += LETTERS.find(key[key_index]					)
																					elif mode == "decrypt":
																												num -= LETTERS.find(key[key_index]					)

																					num %= len(lowerCAmelCase_					)

																					if symbol.isupper():
																												translated.append(LETTERS[num]					)
																					elif symbol.islower():
																												translated.append(LETTERS[num].lower()					)

																					key_index += 1
																					if key_index == len(lowerCAmelCase_					):
																												__lowercase					:							str			=   0
														else:
																					translated.append(lowerCAmelCase_					)
							return "".join(lowerCAmelCase_					)


if __name__ == "__main__":
	main()