





"""simple docstring"""




import math
import sys





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





def 	a_    (							_lowercase       ):
						_UpperCamelCase      : Tuple         =   {'''0''': '''0''', '''1''': '''1'''}
						_UpperCamelCase       ,							_UpperCamelCase      : Optional[Any]         =   '''''', ''''''
						_UpperCamelCase      : Any         =   len(_lowercase       )

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

												_UpperCamelCase      : Tuple         =   lexicon[curr_string]
												result += last_match_id
												_UpperCamelCase      : Dict         =   last_match_id + '''0'''

												if math.loga(_lowercase       ).is_integer():
																		_UpperCamelCase      : Optional[int]         =   {}
																		for curr_key in list(_lowercase       ):
																								_UpperCamelCase      : Optional[Any]         =   lexicon.pop(_lowercase       )
																		_UpperCamelCase      : Optional[int]         =   new_lex

												_UpperCamelCase      : Optional[int]         =   last_match_id + '''1'''
												index += 1
												_UpperCamelCase      : List[Any]         =   ''''''
						return result





def 	a_    (							_lowercase	,						_lowercase       ):
						_UpperCamelCase      : Any         =   8
						try:
												with open(_lowercase	,						'''wb'''       ) as opened_file:
																		_UpperCamelCase      : List[Any]         =   [
																		    to_write[i : i + byte_length]
																		    for i in range(0	,						len(_lowercase       )	,						_lowercase       )
																		]

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





def 	a_    (							_lowercase       ):
						_UpperCamelCase      : List[Any]         =   0
						for letter in data_bits:
												if letter == "1":
																		break
												counter += 1

						_UpperCamelCase      : List[Any]         =   data_bits[counter:]
						_UpperCamelCase      : List[Any]         =   data_bits[counter + 1 :]
						return data_bits





def 	a_    (							_lowercase	,						_lowercase       ):
						_UpperCamelCase      : str         =   read_file_binary(_lowercase       )
						_UpperCamelCase      : str         =   remove_prefix(_lowercase       )
						_UpperCamelCase      : Tuple         =   decompress_data(_lowercase       )
						write_file_binary(_lowercase	,						_lowercase       )


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










"""simple docstring"""




from ..utils import is_flax_available, is_torch_available


if is_torch_available():
						from .autoencoder_kl import AutoencoderKL
						from .controlnet import ControlNetModel
						from .dual_transformer_ad import DualTransformeraDModel
						from .modeling_utils import ModelMixin
						from .prior_transformer import PriorTransformer
						from .ta_film_transformer import TaFilmDecoder
						from .transformer_ad import TransformeraDModel
						from .unet_ad import UNetaDModel
						from .unet_ad import UNetaDModel
						from .unet_ad_condition import UNetaDConditionModel
						from .unet_ad_condition import UNetaDConditionModel
						from .vq_model import VQModel

if is_flax_available():
						from .controlnet_flax import FlaxControlNetModel
						from .unet_ad_condition_flax import FlaxUNetaDConditionModel
						from .vae_flax import FlaxAutoencoderKL



