





from string import ascii_uppercase

lowercase__						:      Tuple	=    {str(ord(c) - 55): c for c in ascii_uppercase}







def  a__    (    lowercase :					Any, lowercase :					int				)		->		Optional[int]:





     """simple docstring"""

     if isinstance(lowercase__, lowercase__				):
          raise TypeError('''int() can\'t convert non-string with explicit base'''				)
     if num < 0:
          raise ValueError('''parameter must be positive int'''				)
     if isinstance(lowercase__, lowercase__				):
          raise TypeError('''\'str\' object cannot be interpreted as an integer'''				)
     if isinstance(lowercase__, lowercase__				):
          raise TypeError('''\'float\' object cannot be interpreted as an integer'''				)
     if base in (0, 1):
          raise ValueError('''base must be >= 2'''				)
     if base > 36:
          raise ValueError('''base must be <= 36'''				)
     _UpperCamelCase       =	''
     _UpperCamelCase       =	0
     _UpperCamelCase       =	0
     while div != 1:
          _UpperCamelCase       =	divmod(lowercase__, lowercase__				)
          if base >= 11 and 9 < mod < 36:
               _UpperCamelCase       =	ALPHABET_VALUES[str(lowercase__				)]
          else:
               _UpperCamelCase       =	str(lowercase__				)
          new_value += actual_value
          _UpperCamelCase       =	num // base
          _UpperCamelCase       =	div
          if div == 0:
               return str(new_value[::-1]				)
          elif div == 1:
               new_value += str(lowercase__				)
               return str(new_value[::-1]				)

     return new_value[::-1]


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   for base in range(2, 37):
      for num in range(10_00):
         assert int(decimal_to_any(num, base), base) == num, (
             num,
             base,
             decimal_to_any(num, base),
             int(decimal_to_any(num, base), base),
         )










'''simple docstring'''

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


lowercase__						:      List[Any]	=    logging.get_logger(__name__)

lowercase__						:      Tuple	=    {
    '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     __lowerCAmelCase					(   __magic_name__			):






       """simple docstring"""
       _snake_case     :					int						    =   'trocr'
       _snake_case     :					List[str]						    =   ['past_key_values']
       _snake_case     :					Tuple						    =   {
           'num_attention_heads': 'decoder_attention_heads',
           'hidden_size': 'd_model',
           'num_hidden_layers': 'decoder_layers',
       }





       def __init__(							self       :		Tuple	,			lowerCAmelCase__       :		Union[str, Any]=50265	,			lowerCAmelCase__       :		List[Any]=1024	,			lowerCAmelCase__       :		List[str]=12	,			lowerCAmelCase__       :		int=16	,			lowerCAmelCase__       :		List[Any]=4096	,			lowerCAmelCase__       :		Optional[int]="gelu"	,			lowerCAmelCase__       :		int=512	,			lowerCAmelCase__       :		Optional[Any]=0.1	,			lowerCAmelCase__       :		Optional[int]=0.0	,			lowerCAmelCase__       :		Dict=0.0	,			lowerCAmelCase__       :		Tuple=2	,			lowerCAmelCase__       :		Dict=0.02	,			lowerCAmelCase__       :		Tuple=0.0	,			lowerCAmelCase__       :		int=True	,			lowerCAmelCase__       :		Optional[Any]=False	,			lowerCAmelCase__       :		Any=True	,			lowerCAmelCase__       :		Dict=True	,			lowerCAmelCase__       :		Optional[int]=1	,			lowerCAmelCase__       :		List[Any]=0	,			lowerCAmelCase__       :		Any=2	,			**lowerCAmelCase__       :		Optional[int]	,			)   ->					Any:

            '''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=lowerCAmelCase__	,			bos_token_id=lowerCAmelCase__	,			eos_token_id=lowerCAmelCase__	,			decoder_start_token_id=lowerCAmelCase__	,			**lowerCAmelCase__	,			)



