





from typing import List

import numpy as np





def  __magic_name__  (				lowercase				)				-> Dict:

							"""simple docstring"""



							lowercase_	:   Optional[Any]  				=     {key: len(snake_case__				) for key, value in gen_kwargs.items() if isinstance(snake_case__				,       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."""
														    )				)
							lowercase_	:   List[str]  				=     max(lists_lengths.values()				,       default=0				)
							return max(1				,       snake_case__				)





def  __magic_name__  (				lowercase				,       lowercase				)				-> int:

							"""simple docstring"""



							lowercase_	:   Union[str, Any]  				=     []
							for group_idx in range(snake_case__				):
														lowercase_	:   Tuple  				=     num_shards // max_num_jobs + (group_idx < (num_shards % max_num_jobs))
														if num_shards_to_add == 0:
																					break
														lowercase_	:   int  				=     shards_indices_per_group[-1].stop if shards_indices_per_group else 0
														lowercase_	:   Dict  				=     range(snake_case__				,       start + num_shards_to_add				)
														shards_indices_per_group.append(snake_case__				)
							return shards_indices_per_group





def  __magic_name__  (				lowercase				,       lowercase				)				-> Any:

							"""simple docstring"""



							lowercase_	:   Optional[int]  				=     _number_of_shards_in_gen_kwargs(snake_case__				)
							if num_shards == 1:
														return [dict(snake_case__				)]
							else:
														lowercase_	:   Dict  				=     _distribute_shards(num_shards=snake_case__				,       max_num_jobs=snake_case__				)
														return [
														    {
														        key: [value[shard_idx] for shard_idx in shard_indices_per_group[group_idx]]
														        if isinstance(snake_case__				,       snake_case__				)
														        else value
														        for key, value in gen_kwargs.items()
														    }
														    for group_idx in range(len(snake_case__				)				)
														]





def  __magic_name__  (				lowercase				)				-> List[Any]:

							"""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]				,       snake_case__				)
							    else gen_kwargs_list[0][key]
							    for key in gen_kwargs_list[0]
							}





def  __magic_name__  (				lowercase				,       lowercase				)				-> Optional[int]:

							"""simple docstring"""



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







"""simple docstring"""
import math
import os
import sys






def       __UpperCamelCase						(		snake_case__       ):
	A_		:    Optional[Any]						     = """"""
	try:
		with open(snake_case__ , """rb"""       ) as binary_file:
			A_		:    Union[str, Any]						     = binary_file.read()
		for dat in data:
			A_		:    Dict						     = F"""{dat:08b}"""
			result += curr_byte
		return result
	except OSError:
		print("""File not accessible"""       )
		sys.exit()






def       __UpperCamelCase						(		snake_case__ , snake_case__ , snake_case__ , snake_case__       ):
	lexicon.pop(snake_case__       )
	A_		:    List[str]						     = last_match_id

	if math.loga(snake_case__       ).is_integer():
		for curr_key in lexicon:
			A_		:    Dict						     = """0""" + lexicon[curr_key]

	A_		:    int						     = bin(snake_case__       )[2:]






def       __UpperCamelCase						(		snake_case__       ):
	A_		:    Dict						     = {"""0""": """0""", """1""": """1"""}
	A_     ,  A_		:    Optional[int]						     = """""", """"""
	A_		:    Tuple						     = len(snake_case__       )

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

		A_		:    List[str]						     = lexicon[curr_string]
		result += last_match_id
		add_key_to_lexicon(snake_case__ , snake_case__ , snake_case__ , snake_case__       )
		index += 1
		A_		:    int						     = """"""

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

	if curr_string != "":
		A_		:    Any						     = lexicon[curr_string]
		result += last_match_id

	return result






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    Optional[int]						     = os.path.getsize(snake_case__       )
	A_		:    Dict						     = bin(snake_case__       )[2:]
	A_		:    Optional[Any]						     = len(snake_case__       )

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






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    Tuple						     = 8
	try:
		with open(snake_case__ , """wb"""       ) as opened_file:
			A_		:    Dict						     = [
			    to_write[i : i + byte_length]
			    for i in range(0 , len(snake_case__       ) , 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(snake_case__ , 2       ).to_bytes(1 , byteorder="""big"""       )       )
	except OSError:
		print("""File not accessible"""       )
		sys.exit()






def       __UpperCamelCase						(		snake_case__ , snake_case__       ):
	A_		:    List[str]						     = read_file_binary(snake_case__       )
	A_		:    str						     = compress_data(snake_case__       )
	A_		:    int						     = add_file_length(snake_case__ , snake_case__       )
	write_file_binary(snake_case__ , snake_case__       )


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

