





from __future__ import annotations

from pprint import pformat
from typing import Generic, TypeVar

UpperCAmelCase_							=				TypeVar("""T""")
class     UpperCamelCase__					(     Generic[T]				):






		'''simple docstring'''






		def __init__(							self,   snake_case__ = True  )       -> Dict:






									"""simple docstring"""
									lowercase_	:   dict[T, list[T]]  				=     {}  # dictionary of lists
									lowercase_	:   Any  				=     directed






		def 						snake_case__				(							self,   snake_case__,   snake_case__  )       -> str:






									"""simple docstring"""

									if not self.directed:  # For undirected graphs
																# if both source vertex and destination vertex are both present in the
																# adjacency list, add destination vertex to source vertex list of adjacent
																# vertices and add source vertex to destination vertex list of adjacent
																# vertices.
																if source_vertex in self.adj_list and destination_vertex in self.adj_list:
																							self.adj_list[source_vertex].append(lowerCAmelCase_  )
																							self.adj_list[destination_vertex].append(lowerCAmelCase_  )
																# if only source vertex is present in adjacency list, add destination vertex
																# to source vertex list of adjacent vertices, then create a new vertex with
																# destination vertex as key and assign a list containing the source vertex
																# as it's first adjacent vertex.
																elif source_vertex in self.adj_list:
																							self.adj_list[source_vertex].append(lowerCAmelCase_  )
																							lowercase_	:   Tuple  				=     [source_vertex]
																# if only destination vertex is present in adjacency list, add source vertex
																# to destination vertex list of adjacent vertices, then create a new vertex
																# with source vertex as key and assign a list containing the source vertex
																# as it's first adjacent vertex.
																elif destination_vertex in self.adj_list:
																							self.adj_list[destination_vertex].append(lowerCAmelCase_  )
																							lowercase_	:   Any  				=     [destination_vertex]
																# if both source vertex and destination vertex are not present in adjacency
																# list, create a new vertex with source vertex as key and assign a list
																# containing the destination vertex as it's first adjacent vertex also
																# create a new vertex with destination vertex as key and assign a list
																# containing the source vertex as it's first adjacent vertex.
																else:
																							lowercase_	:   Optional[Any]  				=     [destination_vertex]
																							lowercase_	:   Optional[Any]  				=     [source_vertex]
									else:  # For directed graphs
																# if both source vertex and destination vertex are present in adjacency
																# list, add destination vertex to source vertex list of adjacent vertices.
																if source_vertex in self.adj_list and destination_vertex in self.adj_list:
																							self.adj_list[source_vertex].append(lowerCAmelCase_  )
																# if only source vertex is present in adjacency list, add destination
																# vertex to source vertex list of adjacent vertices and create a new vertex
																# with destination vertex as key, which has no adjacent vertex
																elif source_vertex in self.adj_list:
																							self.adj_list[source_vertex].append(lowerCAmelCase_  )
																							lowercase_	:   int  				=     []
																# if only destination vertex is present in adjacency list, create a new
																# vertex with source vertex as key and assign a list containing destination
																# vertex as first adjacent vertex
																elif destination_vertex in self.adj_list:
																							lowercase_	:   int  				=     [destination_vertex]
																# if both source vertex and destination vertex are not present in adjacency
																# list, create a new vertex with source vertex as key and a list containing
																# destination vertex as it's first adjacent vertex. Then create a new vertex
																# with destination vertex as key, which has no adjacent vertex
																else:
																							lowercase_	:   str  				=     [destination_vertex]
																							lowercase_	:   Optional[Any]  				=     []

									return self






		def __repr__(							self  )       -> Union[str, Any]:






									"""simple docstring"""
									return pformat(self.adj_list  )







"""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])

