code: 
  
  
  '''simple docstring'''
  
  from collections import OrderedDict
  from typing import Mapping
  
  from ...configuration_utils import PretrainedConfig
  from ...onnx import OnnxConfig
  from ...utils import logging
  
  
  lowerCamelCase							:     Optional[int]								=			logging.get_logger(__name__)
  
  lowerCamelCase							:     List[str]								=			{
      'nghuyong/ernie-1.0-base-zh': 'https://huggingface.co/nghuyong/ernie-1.0-base-zh/resolve/main/config.json',
      'nghuyong/ernie-2.0-base-en': 'https://huggingface.co/nghuyong/ernie-2.0-base-en/resolve/main/config.json',
      'nghuyong/ernie-2.0-large-en': 'https://huggingface.co/nghuyong/ernie-2.0-large-en/resolve/main/config.json',
      'nghuyong/ernie-3.0-base-zh': 'https://huggingface.co/nghuyong/ernie-3.0-base-zh/resolve/main/config.json',
      'nghuyong/ernie-3.0-medium-zh': 'https://huggingface.co/nghuyong/ernie-3.0-medium-zh/resolve/main/config.json',
      'nghuyong/ernie-3.0-mini-zh': 'https://huggingface.co/nghuyong/ernie-3.0-mini-zh/resolve/main/config.json',
      'nghuyong/ernie-3.0-micro-zh': 'https://huggingface.co/nghuyong/ernie-3.0-micro-zh/resolve/main/config.json',
      'nghuyong/ernie-3.0-nano-zh': 'https://huggingface.co/nghuyong/ernie-3.0-nano-zh/resolve/main/config.json',
      'nghuyong/ernie-gram-zh': 'https://huggingface.co/nghuyong/ernie-gram-zh/resolve/main/config.json',
      'nghuyong/ernie-health-zh': 'https://huggingface.co/nghuyong/ernie-health-zh/resolve/main/config.json',
  }
  class 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        lowerCAmelCase__      :  List[str]						      =							"""ernie"""
  
  
  
        def __init__(self					:					List[Any]     ,		UpperCamelCase					:					List[str]=30522     ,		UpperCamelCase					:					Dict=768     ,		UpperCamelCase					:					List[str]=12     ,		UpperCamelCase					:					Tuple=12     ,		UpperCamelCase					:					Dict=3072     ,		UpperCamelCase					:					Tuple="gelu"     ,		UpperCamelCase					:					Any=0.1     ,		UpperCamelCase					:					Optional[Any]=0.1     ,		UpperCamelCase					:					Union[str, Any]=512     ,		UpperCamelCase					:					int=2     ,		UpperCamelCase					:					Optional[int]=3     ,		UpperCamelCase					:					Any=False     ,		UpperCamelCase					:					List[str]=0.02     ,		UpperCamelCase					:					int=1E-12     ,		UpperCamelCase					:					List[str]=0     ,		UpperCamelCase					:					List[Any]="absolute"     ,		UpperCamelCase					:					int=True     ,		UpperCamelCase					:					List[Any]=None     ,		**UpperCamelCase					:					List[str]     ,		):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               super().__init__(pad_token_id=UpperCamelCase     ,		**UpperCamelCase				)
  
               lowercase__       =				vocab_size
               lowercase__       =				hidden_size
               lowercase__       =				num_hidden_layers
               lowercase__       =				num_attention_heads
               lowercase__       =				hidden_act
               lowercase__       =				intermediate_size
               lowercase__       =				hidden_dropout_prob
               lowercase__       =				attention_probs_dropout_prob
               lowercase__       =				max_position_embeddings
               lowercase__       =				type_vocab_size
               lowercase__       =				task_type_vocab_size
               lowercase__       =				use_task_id
               lowercase__       =				initializer_range
               lowercase__       =				layer_norm_eps
               lowercase__       =				position_embedding_type
               lowercase__       =				use_cache
               lowercase__       =				classifier_dropout
  
  
  
  
  
  
  class 						__lowerCAmelCase		(lowercase_  ):
  
  
  
  
  
        '''simple docstring'''
  
  
  
  
  
  
        @property
        def    UpperCamelCase__	(self					:					Dict				):
  
               '''simple docstring'''
  
  
  
  
  
  
  
               if self.task == "multiple-choice":
                      lowercase__       =				{0: '''batch''', 1: '''choice''', 2: '''sequence'''}
               else:
                      lowercase__       =				{0: '''batch''', 1: '''sequence'''}
               return OrderedDict(
                   [
                       ('''input_ids''', dynamic_axis),
                       ('''attention_mask''', dynamic_axis),
                       ('''token_type_ids''', dynamic_axis),
                       ('''task_type_ids''', dynamic_axis),
                   ]				)
  
  
  
  
  
style_context: 
  
  
  '''simple docstring'''
  
  from __future__ import annotations
  
  from collections import Counter
  
  def _SCREAMING_SNAKE_CASE   (A ) -> list[int]:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         lowercase__       =				[True] * n
         lowercase__       =				False
         lowercase__       =				False
         lowercase__       =				True
  
         for i in range(3						,				int(n**0.5 + 1 )						,				2 ):
                lowercase__       =				i * 2
                while index < n:
                       lowercase__       =				False
                       lowercase__       =				index + i
  
         lowercase__       =				[2]
  
         for i in range(3						,				A						,				2 ):
                if is_prime[i]:
                       primes.append(A )
  
         return primes
  
  def _SCREAMING_SNAKE_CASE   (A ) -> list[list[int]]:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         lowercase__       =				str(A )
         lowercase__       =				[]
         lowercase__       =				['''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''']
  
         for duplicate in Counter(A ) - Counter(set(A ) ):
                lowercase__       =				[int(number_str.replace(A						,				A ) ) for digit in digits]
                replacements.append(A )
  
         return replacements
  
  def _SCREAMING_SNAKE_CASE   (A = 8 ) -> int:
  
  
  
  
  
  
         """simple docstring"""
  
  
  
  
  
  
  
         lowercase__       =				set()
  
         # Filter primes with less than 3 replaceable digits
         lowercase__       =				{
             x for x in set(prime_sieve(1_000_000 ) ) if len(str(A ) ) - len(set(str(A ) ) ) >= 3
         }
  
         for prime in primes:
                if prime in numbers_checked:
                       continue
  
                lowercase__       =				digit_replacements(A )
  
                for family in replacements:
                       numbers_checked.update(A )
                       lowercase__       =				primes.intersection(A )
  
                       if len(A ) != family_length:
                              continue
  
                       return min(A )
  
         return -1
  
  
  if __name__ == "__main__":
   print(solution())
  
  
  
  
  