

'''simple docstring'''



import math
import os
import sys
def 						__lowerCamelCase	(       __snake_case					:		str	)	->							str:






						"""simple docstring"""





						A__					:       List[Any]     =""""""
						try:
												with open(__snake_case,		"""rb"""	) as binary_file:
																		A__					:       str     =binary_file.read()
												for dat in data:
																		A__					:       Optional[Any]     =f"{dat:08b}"
																		result += curr_byte
												return result
						except OSError:
												print("""File not accessible"""	)
												sys.exit()
def 						__lowerCamelCase	(       __snake_case					:		dict[str, str],		__snake_case					:		str,		__snake_case					:		int,		__snake_case					:		str	)	->							None:






						"""simple docstring"""





						lexicon.pop(__snake_case	)
						A__					:       Optional[Any]     =last_match_id

						if math.loga(__snake_case	).is_integer():
												for curr_key in lexicon:
																		A__					:       str     ="""0""" + lexicon[curr_key]

						A__					:       Dict     =bin(__snake_case	)[2:]
def 						__lowerCamelCase	(       __snake_case					:		str	)	->							str:






						"""simple docstring"""





						A__					:       Union[str, Any]     ={"""0""": """0""", """1""": """1"""}
						A__   ,						A__					:       Union[str, Any]     ="""""", """"""
						A__					:       Any     =len(__snake_case	)

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

												A__					:       Tuple     =lexicon[curr_string]
												result += last_match_id
												add_key_to_lexicon(__snake_case,		__snake_case,		__snake_case,		__snake_case	)
												index += 1
												A__					:       Any     =""""""

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

						if curr_string != "":
												A__					:       int     =lexicon[curr_string]
												result += last_match_id

						return result
def 						__lowerCamelCase	(       __snake_case					:		str,		__snake_case					:		str	)	->							str:






						"""simple docstring"""





						A__					:       Dict     =os.path.getsize(__snake_case	)
						A__					:       Union[str, Any]     =bin(__snake_case	)[2:]
						A__					:       Optional[Any]     =len(__snake_case	)

						return "0" * (length_length - 1) + file_length_binary + compressed
def 						__lowerCamelCase	(       __snake_case					:		str,		__snake_case					:		str	)	->							None:






						"""simple docstring"""





						A__					:       Optional[Any]     =8
						try:
												with open(__snake_case,		"""wb"""	) as opened_file:
																		A__					:       str     =[
																		    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 						__lowerCamelCase	(       __snake_case					:		str,		__snake_case					:		str	)	->							None:






						"""simple docstring"""





						A__					:       str     =read_file_binary(__snake_case	)
						A__					:       str     =compress_data(__snake_case	)
						A__					:       str     =add_file_length(__snake_case,		__snake_case	)
						write_file_binary(__snake_case,		__snake_case	)


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




'''simple docstring'''



from typing import Dict

from .base import GenericTensor, Pipeline



class lowerCamelCase			(  lowercase_						):



			'''simple docstring'''






			def lowercase__						(				self	:						List[str]		,      lowerCAmelCase_	:						Tuple=None		,      lowerCAmelCase_	:						Dict=None		,      lowerCAmelCase_	:						Any=None		,      **lowerCAmelCase_	:						Union[str, Any]			)      ->		Optional[Any]:





									'''simple docstring'''
									if tokenize_kwargs is None:
															A__					:       List[Any]     ={}

									if truncation is not None:
															if "truncation" in tokenize_kwargs:
																					raise ValueError(
																					    """truncation parameter defined twice (given as keyword argument as well as in tokenize_kwargs)"""			)
															A__					:       str     =truncation

									A__					:       Optional[int]     =tokenize_kwargs

									A__					:       List[Any]     ={}
									if return_tensors is not None:
															A__					:       Any     =return_tensors

									return preprocess_params, {}, postprocess_params


			def lowercase__						(				self	:						int		,      lowerCAmelCase_	:						Union[str, Any]		,      **lowerCAmelCase_	:						Dict			)      ->		Dict[str, GenericTensor]:





									'''simple docstring'''
									A__					:       List[str]     =self.framework
									A__					:       Union[str, Any]     =self.tokenizer(lowerCAmelCase_		,      return_tensors=lowerCAmelCase_		,      **lowerCAmelCase_			)
									return model_inputs


			def lowercase__						(				self	:						Optional[int]		,      lowerCAmelCase_	:						Dict			)      ->		Optional[Any]:





									'''simple docstring'''
									A__					:       Union[str, Any]     =self.model(**lowerCAmelCase_			)
									return model_outputs


			def lowercase__						(				self	:						Tuple		,      lowerCAmelCase_	:						Tuple		,      lowerCAmelCase_	:						Any=False			)      ->		List[Any]:





									'''simple docstring'''
									# [0] is the first available tensor, logits or last_hidden_state.
									if return_tensors:
															return model_outputs[0]
									if self.framework == "pt":
															return model_outputs[0].tolist()
									elif self.framework == "tf":
															return model_outputs[0].numpy().tolist()



			def __call__(				self	:						int		,      *lowerCAmelCase_	:						Any		,      **lowerCAmelCase_	:						Union[str, Any]			)      ->		List[str]:





									'''simple docstring'''
									return super().__call__(*lowerCAmelCase_		,      **lowerCAmelCase_			)

