


from typing import List

import numpy as np

def 			_a  (				SCREAMING_SNAKE_CASE	:				dict     ):







 """simple docstring"""



 UpperCamelCase__					:    Dict          =   {key: len(SCREAMING_SNAKE_CASE     ) for key, value in gen_kwargs.items() if isinstance(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )}
 if len(set(lists_lengths.values()     )     ) > 1:
  raise RuntimeError(
      (
          '''Sharding is ambiguous for this dataset: '''
          + '''we found several data sources lists of different lengths, and we don\'t know over which list we should parallelize:\n'''
          + '''\n'''.join(F"\t- key {key} has length {length}" for key, length in lists_lengths.items()     )
          + '''\nTo fix this, check the \'gen_kwargs\' and make sure to use lists only for data sources, '''
          + '''and use tuples otherwise. In the end there should only be one single list, or several lists with the same length.'''
      )     )
 UpperCamelCase__					:    str          =   max(lists_lengths.values()    , default=0     )
 return max(1    , SCREAMING_SNAKE_CASE     )

def 			_a  (				SCREAMING_SNAKE_CASE	:				int    , SCREAMING_SNAKE_CASE	:				int     ):







 """simple docstring"""



 UpperCamelCase__					:    Optional[int]          =   []
 for group_idx in range(SCREAMING_SNAKE_CASE     ):
  UpperCamelCase__					:    Tuple          =   num_shards // max_num_jobs + (group_idx < (num_shards % max_num_jobs))
  if num_shards_to_add == 0:
   break
  UpperCamelCase__					:    Tuple          =   shards_indices_per_group[-1].stop if shards_indices_per_group else 0
  UpperCamelCase__					:    List[str]          =   range(SCREAMING_SNAKE_CASE    , start + num_shards_to_add     )
  shards_indices_per_group.append(SCREAMING_SNAKE_CASE     )
 return shards_indices_per_group

def 			_a  (				SCREAMING_SNAKE_CASE	:				dict    , SCREAMING_SNAKE_CASE	:				int     ):







 """simple docstring"""



 UpperCamelCase__					:    Tuple          =   _number_of_shards_in_gen_kwargs(SCREAMING_SNAKE_CASE     )
 if num_shards == 1:
  return [dict(SCREAMING_SNAKE_CASE     )]
 else:
  UpperCamelCase__					:    Union[str, Any]          =   _distribute_shards(num_shards=SCREAMING_SNAKE_CASE    , max_num_jobs=SCREAMING_SNAKE_CASE     )
  return [
      {
          key: [value[shard_idx] for shard_idx in shard_indices_per_group[group_idx]]
          if isinstance(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )
          else value
          for key, value in gen_kwargs.items()
      }
      for group_idx in range(len(SCREAMING_SNAKE_CASE     )     )
  ]

def 			_a  (				SCREAMING_SNAKE_CASE	:				List[dict]     ):







 """simple docstring"""



 return {
     key: [value for gen_kwargs in gen_kwargs_list for value in gen_kwargs[key]]
     if isinstance(gen_kwargs_list[0][key]    , SCREAMING_SNAKE_CASE     )
     else gen_kwargs_list[0][key]
     for key in gen_kwargs_list[0]
 }






def 			_a  (				SCREAMING_SNAKE_CASE	:				np.random.Generator    , SCREAMING_SNAKE_CASE	:				dict     ):







 """simple docstring"""



 UpperCamelCase__					:    str          =   {len(SCREAMING_SNAKE_CASE     ) for value in gen_kwargs.values() if isinstance(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )}
 UpperCamelCase__					:    Any          =   {}
 for size in list_sizes:
  UpperCamelCase__					:    Union[str, Any]          =   list(range(SCREAMING_SNAKE_CASE     )     )
  rng.shuffle(indices_per_size[size]     )
 # Now let's copy the gen_kwargs and shuffle the lists based on their sizes
 UpperCamelCase__					:    Optional[Any]          =   dict(SCREAMING_SNAKE_CASE     )
 for key, value in shuffled_kwargs.items():
  if isinstance(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     ):
   UpperCamelCase__					:    Any          =   [value[i] for i in indices_per_size[len(SCREAMING_SNAKE_CASE     )]]
 return shuffled_kwargs






import math
import os
import sys

def 			_a  (				SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    Any          =   ''''''
 try:
  with open(SCREAMING_SNAKE_CASE    , '''rb'''     ) as binary_file:
   UpperCamelCase__					:    int          =   binary_file.read()
  for dat in data:
   UpperCamelCase__					:    Dict          =   F"{dat:08b}"
   result += curr_byte
  return result
 except OSError:
  print('''File not accessible'''     )
  sys.exit()

def 			_a  (				SCREAMING_SNAKE_CASE	:				dict[str, str]    , SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				int    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 lexicon.pop(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    str          =   last_match_id

 if math.loga(SCREAMING_SNAKE_CASE     ).is_integer():
  for curr_key in lexicon:
   UpperCamelCase__					:    Any          =   '''0''' + lexicon[curr_key]

 UpperCamelCase__					:    Dict          =   bin(SCREAMING_SNAKE_CASE     )[2:]

def 			_a  (				SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    Any          =   {'''0''': '''0''', '''1''': '''1'''}
 UpperCamelCase__       ,				UpperCamelCase__					:    Any          =   '''''', ''''''
 UpperCamelCase__					:    List[Any]          =   len(SCREAMING_SNAKE_CASE     )

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

  UpperCamelCase__					:    List[str]          =   lexicon[curr_string]
  result += last_match_id
  add_key_to_lexicon(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )
  index += 1
  UpperCamelCase__					:    Dict          =   ''''''

 while curr_string != "" and curr_string not in lexicon:
  curr_string += "0"

 if curr_string != "":
  UpperCamelCase__					:    Union[str, Any]          =   lexicon[curr_string]
  result += last_match_id

 return result

def 			_a  (				SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    int          =   os.path.getsize(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    Optional[Any]          =   bin(SCREAMING_SNAKE_CASE     )[2:]
 UpperCamelCase__					:    Tuple          =   len(SCREAMING_SNAKE_CASE     )

 return "0" * (length_length - 1) + file_length_binary + compressed

def 			_a  (				SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    Dict          =   8
 try:
  with open(SCREAMING_SNAKE_CASE    , '''wb'''     ) as opened_file:
   UpperCamelCase__					:    Optional[Any]          =   [
       to_write[i : i + byte_length]
       for i in range(0    , len(SCREAMING_SNAKE_CASE     )    , SCREAMING_SNAKE_CASE     )
   ]

   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:
    opened_file.write(int(SCREAMING_SNAKE_CASE    , 2     ).to_bytes(1    , byteorder='''big'''     )     )
 except OSError:
  print('''File not accessible'''     )
  sys.exit()

def 			_a  (				SCREAMING_SNAKE_CASE	:				str    , SCREAMING_SNAKE_CASE	:				str     ):







 """simple docstring"""



 UpperCamelCase__					:    Optional[Any]          =   read_file_binary(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    Any          =   compress_data(SCREAMING_SNAKE_CASE     )
 UpperCamelCase__					:    Any          =   add_file_length(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )
 write_file_binary(SCREAMING_SNAKE_CASE    , SCREAMING_SNAKE_CASE     )


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


