





import math
import sys






def 		lowerCAmelCase  (	UpperCamelCase__   :   str					)      ->    str:

						"""simple docstring"""





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






def 		lowerCAmelCase  (	UpperCamelCase__   :   str					)      ->    str:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Dict           =   {'''0''': '''0''', '''1''': '''1'''}
						__SCREAMING_SNAKE_CASE       ,__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   '''''', ''''''
						__SCREAMING_SNAKE_CASE:				Dict           =   len(UpperCamelCase__					)

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

												__SCREAMING_SNAKE_CASE:				Any           =   lexicon[curr_string]
												result += last_match_id
												__SCREAMING_SNAKE_CASE:				Optional[Any]           =   last_match_id + '''0'''

												if math.loga(UpperCamelCase__					).is_integer():
																		__SCREAMING_SNAKE_CASE:				Tuple           =   {}
																		for curr_key in list(UpperCamelCase__					):
																								__SCREAMING_SNAKE_CASE:				Tuple           =   lexicon.pop(UpperCamelCase__					)
																		__SCREAMING_SNAKE_CASE:				Dict           =   new_lex

												__SCREAMING_SNAKE_CASE:				List[str]           =   last_match_id + '''1'''
												index += 1
												__SCREAMING_SNAKE_CASE:				Optional[Any]           =   ''''''
						return result






def 		lowerCAmelCase  (	UpperCamelCase__   :   str       ,			UpperCamelCase__   :   str					)      ->    None:

						"""simple docstring"""





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

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






def 		lowerCAmelCase  (	UpperCamelCase__   :   str					)      ->    str:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Tuple           =   0
						for letter in data_bits:
												if letter == "1":
																		break
												counter += 1

						__SCREAMING_SNAKE_CASE:				str           =   data_bits[counter:]
						__SCREAMING_SNAKE_CASE:				Tuple           =   data_bits[counter + 1 :]
						return data_bits






def 		lowerCAmelCase  (	UpperCamelCase__   :   str       ,			UpperCamelCase__   :   str					)      ->    None:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Any           =   read_file_binary(UpperCamelCase__					)
						__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   remove_prefix(UpperCamelCase__					)
						__SCREAMING_SNAKE_CASE:				Tuple           =   decompress_data(UpperCamelCase__					)
						write_file_binary(UpperCamelCase__       ,			UpperCamelCase__					)


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










import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict





@dataclass
class 				a			(      __lowercase			):
				SCREAMING_SNAKE_CASE__     :   Any		      =     ComputeEnvironment.AMAZON_SAGEMAKER
				SCREAMING_SNAKE_CASE__     :   Optional[int]		      =     True
				SCREAMING_SNAKE_CASE__     :   int		      =     '''ml.p3.2xlarge'''
				SCREAMING_SNAKE_CASE__     :   Union[str, Any]		      =     '''accelerate_sagemaker_execution_role'''
				SCREAMING_SNAKE_CASE__     :   List[Any]		      =     '''hf-sm'''
				SCREAMING_SNAKE_CASE__     :   Any		      =     '''us-east-1'''
				SCREAMING_SNAKE_CASE__     :   Any		      =     1
				SCREAMING_SNAKE_CASE__     :   Dict		      =     '''accelerate-sagemaker-1'''
				SCREAMING_SNAKE_CASE__     :   Dict		      =     '''1.6'''
				SCREAMING_SNAKE_CASE__     :   int		      =     '''4.4'''
				SCREAMING_SNAKE_CASE__     :   int		      =     '''train.py'''
				SCREAMING_SNAKE_CASE__     :   Tuple		      =     [
				    '''--model_name_or_path''',
				    '''bert''',
				    '''--do_train''',
				    '''False''',
				    '''--epochs''',
				    '''3''',
				    '''--learning_rate''',
				    '''5e-5''',
				    '''--max_steps''',
				    '''50.5''',
				]
				SCREAMING_SNAKE_CASE__     :   List[str]		      =     [
				    '''--model_name_or_path''',
				    '''bert''',
				    '''--do_train''',
				    '''--do_test''',
				    '''False''',
				    '''--do_predict''',
				    '''--epochs''',
				    '''3''',
				    '''--learning_rate''',
				    '''5e-5''',
				    '''--max_steps''',
				    '''50.5''',
				]





class 				a			(      unittest.TestCase			):






				def 			snake_case_    (  self					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Optional[Any]           =   _convert_nargs_to_dict(MockLaunchConfig.success_training_script_args					)
										assert isinstance(converted_args['''model_name_or_path''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''do_train''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''epochs''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''learning_rate''']			, _lowerCAmelCase					)
										assert isinstance(converted_args['''max_steps''']			, _lowerCAmelCase					)

										with pytest.raises(_lowerCAmelCase					):
																_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args					)



