
'''simple docstring'''







import math
import sys





def 					UpperCAmelCase_		(__a      :    Optional[int] ):






   """simple docstring"""

   _a				:	Optional[Any]			=   ''''''
   try:
      with open(__lowerCAmelCase ,	'rb' ) as binary_file:
         _a				:	int			=   binary_file.read()
      for dat in data:
         _a				:	Any			=   f"""{dat:08b}"""
         result += curr_byte
      return result
   except OSError:
      print('File not accessible' )
      sys.exit()





def 					UpperCAmelCase_		(__a      :    int ):






   """simple docstring"""

   _a				:	List[str]			=   {'''0''': '''0''', '''1''': '''1'''}
   _a				:	List[Any]			=   '''''', ''''''
   _a				:	Tuple			=   len(__lowerCAmelCase )

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

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

      if math.loga(__lowerCAmelCase ).is_integer():
         _a				:	Tuple			=   {}
         for curr_key in list(__lowerCAmelCase ):
            _a				:	Union[str, Any]			=   lexicon.pop(__lowerCAmelCase )
         _a				:	Optional[Any]			=   new_lex

      _a				:	Tuple			=   last_match_id + '''1'''
      index += 1
      _a				:	Dict			=   ''''''
   return result





def 					UpperCAmelCase_		(__a      :    str ,	__a      :    Tuple ):






   """simple docstring"""

   _a				:	Dict			=   8
   try:
      with open(__lowerCAmelCase ,	'wb' ) as opened_file:
         _a				:	Union[str, Any]			=   [
             to_write[i : i + byte_length]
             for i in range(0 ,	len(__lowerCAmelCase ) ,	__lowerCAmelCase )
         ]

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





def 					UpperCAmelCase_		(__a      :    int ):






   """simple docstring"""

   _a				:	Any			=   0
   for letter in data_bits:
      if letter == "1":
         break
      counter += 1

   _a				:	Optional[int]			=   data_bits[counter:]
   _a				:	int			=   data_bits[counter + 1 :]
   return data_bits





def 					UpperCAmelCase_		(__a      :    Union[str, Any] ,	__a      :    Optional[int] ):






   """simple docstring"""

   _a				:	Union[str, Any]			=   read_file_binary(__lowerCAmelCase )
   _a				:	List[str]			=   remove_prefix(__lowerCAmelCase )
   _a				:	Any			=   decompress_data(__lowerCAmelCase )
   write_file_binary(__lowerCAmelCase ,	__lowerCAmelCase )


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








from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A__								=						logging.get_logger(__name__)

A__								=						{
    '''distilbert-base-uncased''': '''https://huggingface.co/distilbert-base-uncased/resolve/main/config.json''',
    '''distilbert-base-uncased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-cased''': '''https://huggingface.co/distilbert-base-cased/resolve/main/config.json''',
    '''distilbert-base-cased-distilled-squad''': (
        '''https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/config.json'''
    ),
    '''distilbert-base-german-cased''': '''https://huggingface.co/distilbert-base-german-cased/resolve/main/config.json''',
    '''distilbert-base-multilingual-cased''': (
        '''https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/config.json'''
    ),
    '''distilbert-base-uncased-finetuned-sst-2-english''': (
        '''https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english/resolve/main/config.json'''
    ),
}


class       a							(			__lowerCamelCase				):
		__lowerCAmelCase	:    str											=					"""distilbert"""
		__lowerCAmelCase	:    str											=					{
		    """hidden_size""": """dim""",
		    """num_attention_heads""": """n_heads""",
		    """num_hidden_layers""": """n_layers""",
		}



		def __init__(     self     :Dict   ,__lowercase     :Tuple=3_0_5_2_2   ,__lowercase     :Optional[Any]=5_1_2   ,__lowercase     :List[str]=False   ,__lowercase     :List[str]=6   ,__lowercase     :Optional[Any]=1_2   ,__lowercase     :Tuple=7_6_8   ,__lowercase     :int=4 * 7_6_8   ,__lowercase     :List[Any]=0.1   ,__lowercase     :List[str]=0.1   ,__lowercase     :Union[str, Any]="gelu"   ,__lowercase     :List[str]=0.02   ,__lowercase     :Optional[int]=0.1   ,__lowercase     :Dict=0.2   ,__lowercase     :Union[str, Any]=0   ,**__lowercase     :Optional[Any]   ,):
						snake_case__	:      List[str]     		=	vocab_size
						snake_case__	:      Tuple     		=	max_position_embeddings
						snake_case__	:      Optional[int]     		=	sinusoidal_pos_embds
						snake_case__	:      str     		=	n_layers
						snake_case__	:      List[Any]     		=	n_heads
						snake_case__	:      Tuple     		=	dim
						snake_case__	:      str     		=	hidden_dim
						snake_case__	:      int     		=	dropout
						snake_case__	:      Dict     		=	attention_dropout
						snake_case__	:      Tuple     		=	activation
						snake_case__	:      int     		=	initializer_range
						snake_case__	:      Optional[Any]     		=	qa_dropout
						snake_case__	:      Union[str, Any]     		=	seq_classif_dropout
						super().__init__(**__lowercase   ,pad_token_id=__lowercase  )


class       a							(			__lowerCamelCase				):



		@property
		def 	__lowerCamelCase			(     self     :Union[str, Any]  ):
						if self.task == "multiple-choice":
										snake_case__	:      str     		=	{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
						else:
										snake_case__	:      Optional[int]     		=	{0: '''batch''', 1: '''sequence'''}
						return OrderedDict(
						    [
						        ('''input_ids''', dynamic_axis),
						        ('''attention_mask''', dynamic_axis),
						    ]  )

