




import math
import sys







def lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				List[str]  =     ''''''
     try:
          with open(_lowercase					,		'''rb''' ) as binary_file:
               UpperCAmelCase_     :				Dict  =     binary_file.read()
          for dat in data:
               UpperCAmelCase_     :				Union[str, Any]  =     f'''{dat:08b}'''
               result += curr_byte
          return result
     except OSError:
          print('''File not accessible''' )
          sys.exit()







def lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				Optional[int]  =     {'''0''': '''0''', '''1''': '''1'''}
     UpperCAmelCase_,       UpperCAmelCase_     :				str  =     '''''', ''''''
     UpperCAmelCase_     :				Any  =     len(_lowercase )

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

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

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

          UpperCAmelCase_     :				Any  =     last_match_id + '''1'''
          index += 1
          UpperCAmelCase_     :				List[Any]  =     ''''''
     return result







def lowerCamelCase__  (     _lowercase					,		_lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				str  =     8
     try:
          with open(_lowercase					,		'''wb''' ) as opened_file:
               UpperCAmelCase_     :				List[str]  =     [
                   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 lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				Dict  =     0
     for letter in data_bits:
          if letter == "1":
               break
          counter += 1

     UpperCAmelCase_     :				Optional[int]  =     data_bits[counter:]
     UpperCAmelCase_     :				Dict  =     data_bits[counter + 1 :]
     return data_bits







def lowerCamelCase__  (     _lowercase					,		_lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				List[Any]  =     read_file_binary(_lowercase )
     UpperCAmelCase_     :				Optional[Any]  =     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 ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase__			=		logging.get_logger(__name__)

lowercase__			=		{"""openai-gpt""": """https://huggingface.co/openai-gpt/resolve/main/config.json"""}






class lowerCAmelCase__      (	lowercase		):






			'''simple docstring'''



			lowerCamelCase__ =     """openai-gpt"""
			lowerCamelCase__ =     {
			    """max_position_embeddings""": """n_positions""",
			    """hidden_size""": """n_embd""",
			    """num_attention_heads""": """n_head""",
			    """num_hidden_layers""": """n_layer""",
			}
			def __init__(    self    , lowercase=40478    , lowercase=512    , lowercase=768    , lowercase=12    , lowercase=12    , lowercase="gelu"    , lowercase=0.1    , lowercase=0.1    , lowercase=0.1    , lowercase=1E-5    , lowercase=0.02    , lowercase="cls_index"    , lowercase=True    , lowercase=None    , lowercase=True    , lowercase=0.1    , **lowercase    , ):
							_lowerCamelCase	:     Tuple       =       vocab_size
							_lowerCamelCase	:     List[str]       =       n_positions
							_lowerCamelCase	:     Tuple       =       n_embd
							_lowerCamelCase	:     Optional[int]       =       n_layer
							_lowerCamelCase	:     List[Any]       =       n_head
							_lowerCamelCase	:     Dict       =       afn
							_lowerCamelCase	:     Union[str, Any]       =       resid_pdrop
							_lowerCamelCase	:     Dict       =       embd_pdrop
							_lowerCamelCase	:     List[Any]       =       attn_pdrop
							_lowerCamelCase	:     Any       =       layer_norm_epsilon
							_lowerCamelCase	:     List[Any]       =       initializer_range
							_lowerCamelCase	:     List[Any]       =       summary_type
							_lowerCamelCase	:     List[str]       =       summary_use_proj
							_lowerCamelCase	:     Tuple       =       summary_activation
							_lowerCamelCase	:     int       =       summary_first_dropout
							_lowerCamelCase	:     str       =       summary_proj_to_labels
							super().__init__(**lowercase    )