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


SCREAMING_SNAKE_CASE__		:					List[str]						=					logging.get_logger(__name__)

class       snake_case					(      UpperCamelCase_						):
  lowercase_			=     ['pixel_values']




  def __init__(      self     :	Optional[Any]     , a_     :	bool = True     , a_     :	Union[int, float] = 1 / 255     , a_     :	bool = True     , a_     :	int = 8     , **a_     :	List[str]     , )->       None:




       """simple docstring"""
       super().__init__(**a_				)

       SCREAMING_SNAKE_CASE__				:				str			=		do_rescale
       SCREAMING_SNAKE_CASE__				:				Any			=		rescale_factor
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		do_pad
       SCREAMING_SNAKE_CASE__				:				int			=		pad_size




  def 	__lowercase(      self     :	List[Any]     , a_     :	np.ndarray     , a_     :	float     , a_     :	Optional[Union[str, ChannelDimension]] = None     , **a_     :	Tuple				)->       np.ndarray:




       """simple docstring"""
       return rescale(a_     , scale=a_     , data_format=a_     , **a_				)




  def 	__lowercase(      self     :	List[str]     , a_     :	np.ndarray     , a_     :	int     , a_     :	Optional[Union[str, ChannelDimension]] = None				)->       Tuple:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		get_image_size(a_				)
       SCREAMING_SNAKE_CASE__				:				Tuple			=		(old_height // size + 1) * size - old_height
       SCREAMING_SNAKE_CASE__				:				int			=		(old_width // size + 1) * size - old_width

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




  def 	__lowercase(      self     :	List[str]     , a_     :	ImageInput     , a_     :	Optional[bool] = None     , a_     :	Optional[float] = None     , a_     :	Optional[bool] = None     , a_     :	Optional[int] = None     , a_     :	Optional[Union[str, TensorType]] = None     , a_     :	Union[str, ChannelDimension] = ChannelDimension.FIRST     , **a_     :	Any     , )->       Any:




       """simple docstring"""
       SCREAMING_SNAKE_CASE__				:				List[str]			=		do_rescale if do_rescale is not None else self.do_rescale
       SCREAMING_SNAKE_CASE__				:				Dict			=		rescale_factor if rescale_factor is not None else self.rescale_factor
       SCREAMING_SNAKE_CASE__				:				Tuple			=		do_pad if do_pad is not None else self.do_pad
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		pad_size if pad_size is not None else self.pad_size

       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		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.
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		[to_numpy_array(a_				) for image in images]

       if do_rescale:
            SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		[self.rescale(image=a_     , scale=a_				) for image in images]

       if do_pad:
            SCREAMING_SNAKE_CASE__				:				Optional[int]			=		[self.pad(a_     , size=a_				) for image in images]

       SCREAMING_SNAKE_CASE__				:				Tuple			=		[to_channel_dimension_format(a_     , a_				) for image in images]

       SCREAMING_SNAKE_CASE__				:				Dict			=		{'pixel_values': images}
       return BatchFeature(data=a_     , tensor_type=a_				)




import math
import sys







def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		''
     try:
          with open(lowercase__     ,  'rb' ) as binary_file:
               SCREAMING_SNAKE_CASE__				:				Tuple			=		binary_file.read()
          for dat in data:
               SCREAMING_SNAKE_CASE__				:				Tuple			=		f'''{dat:08b}'''
               result += curr_byte
          return result
     except OSError:
          print('File not accessible' )
          sys.exit()







def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				List[str]			=		{'0': '0', '1': '1'}
     SCREAMING_SNAKE_CASE__			,							SCREAMING_SNAKE_CASE__				:				int			=		'', ''
     SCREAMING_SNAKE_CASE__				:				Tuple			=		len(lowercase__ )

     for i in range(len(lowercase__ ) ):
          curr_string += data_bits[i]
          if curr_string not in lexicon:
               continue

          SCREAMING_SNAKE_CASE__				:				int			=		lexicon[curr_string]
          result += last_match_id
          SCREAMING_SNAKE_CASE__				:				str			=		last_match_id + '0'

          if math.loga(lowercase__ ).is_integer():
               SCREAMING_SNAKE_CASE__				:				List[str]			=		{}
               for curr_key in list(lowercase__ ):
                    SCREAMING_SNAKE_CASE__				:				Optional[int]			=		lexicon.pop(lowercase__ )
               SCREAMING_SNAKE_CASE__				:				Optional[int]			=		new_lex

          SCREAMING_SNAKE_CASE__				:				Any			=		last_match_id + '1'
          index += 1
          SCREAMING_SNAKE_CASE__				:				Tuple			=		''
     return result







def     _a				(      lowercase__  :			str     ,  lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				str			=		8
     try:
          with open(lowercase__     ,  'wb' ) as opened_file:
               SCREAMING_SNAKE_CASE__				:				Dict			=		[
                   to_write[i : i + byte_length]
                   for i in range(0     ,  len(lowercase__ )     ,  lowercase__ )
               ]

               if len(result_byte_array[-1] ) % byte_length == 0:
                    result_byte_array.append('10000000' )
               else:
                    result_byte_array[-1] += "1" + "0" * (
                        byte_length - len(result_byte_array[-1] ) - 1
                    )

               for elem in result_byte_array[:-1]:
                    opened_file.write(int(lowercase__     ,  2 ).to_bytes(1     ,  byteorder='big' ) )
     except OSError:
          print('File not accessible' )
          sys.exit()







def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Dict			=		0
     for letter in data_bits:
          if letter == "1":
               break
          counter += 1

     SCREAMING_SNAKE_CASE__				:				Optional[int]			=		data_bits[counter:]
     SCREAMING_SNAKE_CASE__				:				int			=		data_bits[counter + 1 :]
     return data_bits







def     _a				(      lowercase__  :			str     ,  lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		read_file_binary(lowercase__ )
     SCREAMING_SNAKE_CASE__				:				Dict			=		remove_prefix(lowercase__ )
     SCREAMING_SNAKE_CASE__				:				Tuple			=		decompress_data(lowercase__ )
     write_file_binary(lowercase__     ,  lowercase__ )


if __name__ == "__main__":
      compress(sys.argv[1], sys.argv[2])



