from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__		:					str						=					logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__		:					Any						=					{
    "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json",
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}

class       snake_case					(      UpperCamelCase_						):
  lowercase_			=     'gpt_neox'




  def __init__(      self     :	Any     , a_     :	Optional[int]=5_0432     , a_     :	int=6144     , a_     :	List[str]=44     , a_     :	int=64     , a_     :	str=2_4576     , a_     :	Dict="gelu"     , a_     :	Any=0.25     , a_     :	Any=1_0000     , a_     :	Tuple=0.0     , a_     :	str=0.0     , a_     :	int=0.1     , a_     :	List[Any]=2048     , a_     :	List[Any]=0.02     , a_     :	Dict=1e-5     , a_     :	Optional[int]=True     , a_     :	Optional[int]=0     , a_     :	Any=2     , a_     :	int=False     , a_     :	Tuple=True     , a_     :	Dict=None     , **a_     :	List[Any]     , )->       Tuple:




       """simple docstring"""
       super().__init__(bos_token_id=a_     , eos_token_id=a_     , **a_				)
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		vocab_size
       SCREAMING_SNAKE_CASE__				:				List[str]			=		max_position_embeddings
       SCREAMING_SNAKE_CASE__				:				int			=		hidden_size
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		num_hidden_layers
       SCREAMING_SNAKE_CASE__				:				Union[str, Any]			=		num_attention_heads
       SCREAMING_SNAKE_CASE__				:				Tuple			=		intermediate_size
       SCREAMING_SNAKE_CASE__				:				int			=		hidden_act
       SCREAMING_SNAKE_CASE__				:				Any			=		rotary_pct
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		rotary_emb_base
       SCREAMING_SNAKE_CASE__				:				Any			=		attention_dropout
       SCREAMING_SNAKE_CASE__				:				List[str]			=		hidden_dropout
       SCREAMING_SNAKE_CASE__				:				Optional[int]			=		classifier_dropout
       SCREAMING_SNAKE_CASE__				:				Dict			=		initializer_range
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		layer_norm_eps
       SCREAMING_SNAKE_CASE__				:				int			=		use_cache
       SCREAMING_SNAKE_CASE__				:				Tuple			=		tie_word_embeddings
       SCREAMING_SNAKE_CASE__				:				List[str]			=		use_parallel_residual
       SCREAMING_SNAKE_CASE__				:				List[Any]			=		rope_scaling
       self._rope_scaling_validation()

       if self.hidden_size % self.num_attention_heads != 0:
            raise ValueError(
                'The hidden size is not divisble by the number of attention heads! Make sure to update them!'				)




  def 	__lowercase(      self     :	str				)->       Optional[Any]:




       """simple docstring"""
       if self.rope_scaling is None:
            return

       if not isinstance(self.rope_scaling     , a_				) or len(self.rope_scaling				) != 2:
            raise ValueError(
                '`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '
                F'''got {self.rope_scaling}'''				)
       SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		self.rope_scaling.get('type'     , a_				)
       SCREAMING_SNAKE_CASE__				:				List[str]			=		self.rope_scaling.get('factor'     , a_				)
       if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
            raise ValueError(
                F'''`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'''				)
       if rope_scaling_factor is None or not isinstance(a_     , a_				) or rope_scaling_factor <= 1.0:
            raise ValueError(F'''`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'''				)




import math
import sys







def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


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







def     _a				(      lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				List[str]			=		{'0': '0', '1': '1'}
     SCREAMING_SNAKE_CASE__			,							SCREAMING_SNAKE_CASE__				:				int			=		'', ''
     SCREAMING_SNAKE_CASE__				:				Tuple			=		len(lowercase__ )

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

          SCREAMING_SNAKE_CASE__				:				int			=		lexicon[curr_string]
          result += last_match_id
          SCREAMING_SNAKE_CASE__				:				str			=		last_match_id + '0'

          if math.loga(lowercase__ ).is_integer():
               SCREAMING_SNAKE_CASE__				:				List[str]			=		{}
               for curr_key in list(lowercase__ ):
                    SCREAMING_SNAKE_CASE__				:				Optional[int]			=		lexicon.pop(lowercase__ )
               SCREAMING_SNAKE_CASE__				:				Optional[int]			=		new_lex

          SCREAMING_SNAKE_CASE__				:				Any			=		last_match_id + '1'
          index += 1
          SCREAMING_SNAKE_CASE__				:				Tuple			=		''
     return result







def     _a				(      lowercase__  :			str     ,  lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				str			=		8
     try:
          with open(lowercase__     ,  'wb' ) as opened_file:
               SCREAMING_SNAKE_CASE__				:				Dict			=		[
                   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__  :			str ):







     '''simple docstring'''


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

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







def     _a				(      lowercase__  :			str     ,  lowercase__  :			str ):







     '''simple docstring'''


     SCREAMING_SNAKE_CASE__				:				Optional[Any]			=		read_file_binary(lowercase__ )
     SCREAMING_SNAKE_CASE__				:				Dict			=		remove_prefix(lowercase__ )
     SCREAMING_SNAKE_CASE__				:				Tuple			=		decompress_data(lowercase__ )
     write_file_binary(lowercase__     ,  lowercase__ )


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



