


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


A      = logging.get_logger(__name__)

A      = {
    "microsoft/trocr-base-handwritten": (
        "https://huggingface.co/microsoft/trocr-base-handwritten/resolve/main/config.json"
    ),
    # See all TrOCR models at https://huggingface.co/models?filter=trocr
}


class     lowercase__  (					__SCREAMING_SNAKE_CASE		):
  A__=  'trocr'
  A__=  ['past_key_values']
  A__=  {
      'num_attention_heads': 'decoder_attention_heads',
      'hidden_size': 'd_model',
      'num_hidden_layers': 'decoder_layers',
  }






  def __init__(					self      :					List[Any]		,						_lowercase      :					Optional[int]=5_02_65		,						_lowercase      :					List[str]=10_24		,						_lowercase      :					List[str]=12		,						_lowercase      :					int=16		,						_lowercase      :					Optional[int]=40_96		,						_lowercase      :					List[Any]="gelu"		,						_lowercase      :					List[str]=5_12		,						_lowercase      :					int=0.1		,						_lowercase      :					Dict=0.0		,						_lowercase      :					Dict=0.0		,						_lowercase      :					str=2		,						_lowercase      :					Any=0.0_2		,						_lowercase      :					Dict=0.0		,						_lowercase      :					Tuple=True		,						_lowercase      :					int=False		,						_lowercase      :					List[str]=True		,						_lowercase      :					int=True		,						_lowercase      :					Tuple=1		,						_lowercase      :					Any=0		,						_lowercase      :					Any=2		,						**_lowercase      :					Tuple		,						):




         """simple docstring"""







         UpperCAmelCase__										=     vocab_size
         UpperCAmelCase__										=     d_model
         UpperCAmelCase__										=     decoder_layers
         UpperCAmelCase__										=     decoder_attention_heads
         UpperCAmelCase__										=     decoder_ffn_dim
         UpperCAmelCase__										=     activation_function
         UpperCAmelCase__										=     max_position_embeddings
         UpperCAmelCase__										=     dropout
         UpperCAmelCase__										=     attention_dropout
         UpperCAmelCase__										=     activation_dropout
         UpperCAmelCase__										=     init_std
         UpperCAmelCase__										=     decoder_layerdrop
         UpperCAmelCase__										=     use_cache
         UpperCAmelCase__										=     scale_embedding
         UpperCAmelCase__										=     use_learned_position_embeddings
         UpperCAmelCase__										=     layernorm_embedding

         super().__init__(
             pad_token_id=_lowercase		,						bos_token_id=_lowercase		,						eos_token_id=_lowercase		,						decoder_start_token_id=_lowercase		,						**_lowercase		,						)









from __future__ import annotations





def __UpperCAmelCase       (		__A			)						->					list[int]:



       '''simple docstring'''





       UpperCAmelCase__										=     [True] * limit
       UpperCAmelCase__										=     False
       UpperCAmelCase__										=     False
       UpperCAmelCase__										=     True

       for i in range(3 ,						int(limit**0.5 + 1			) ,						2			):
              UpperCAmelCase__										=     i * 2
              while index < limit:
                     UpperCAmelCase__										=     False
                     UpperCAmelCase__										=     index + i

       UpperCAmelCase__										=     [2]

       for i in range(3 ,						__A ,						2			):
              if is_prime[i]:
                     primes.append(__A			)

       return primes





def __UpperCAmelCase       (		__A = 1_0_0_0_0_0_0			)						->					int:



       '''simple docstring'''





       UpperCAmelCase__										=     prime_sieve(__A			)
       UpperCAmelCase__										=     0
       UpperCAmelCase__										=     0

       for i in range(len(__A			)			):
              for j in range(i + length ,						len(__A			)			):
                     UpperCAmelCase__										=     sum(primes[i:j]			)
                     if sol >= ceiling:
                            break

                     if sol in primes:
                            UpperCAmelCase__										=     j - i
                            UpperCAmelCase__										=     sol

       return largest


if __name__ == "__main__":
    print(f"{solution() = }")





