
'''simple docstring'''



import copy
import os
from typing import Union

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


UpperCamelCase__   :		Optional[Any]											=	logging.get_logger(__name__)

UpperCamelCase__   :		Optional[Any]											=	{
    "microsoft/git-base": "https://huggingface.co/microsoft/git-base/resolve/main/config.json",
}

class  _a					(_lowerCamelCase):





       """simple docstring"""




       SCREAMING_SNAKE_CASE   =	'git_vision_model'






       def __init__(				self							,				A__=7_68							,				A__=30_72							,				A__=12							,				A__=12							,				A__=3							,				A__=2_24							,				A__=16							,				A__="quick_gelu"							,				A__=1E-5							,				A__=0.0							,				A__=0.02							,				**A__							,				)     ->      int:
          super().__init__(**lowerCamelCase__   )

          _SCREAMING_SNAKE_CASE  			=					hidden_size
          _SCREAMING_SNAKE_CASE  			=					intermediate_size
          _SCREAMING_SNAKE_CASE  			=					num_hidden_layers
          _SCREAMING_SNAKE_CASE  			=					num_attention_heads
          _SCREAMING_SNAKE_CASE  			=					num_channels
          _SCREAMING_SNAKE_CASE  			=					patch_size
          _SCREAMING_SNAKE_CASE  			=					image_size
          _SCREAMING_SNAKE_CASE  			=					initializer_range
          _SCREAMING_SNAKE_CASE  			=					attention_dropout
          _SCREAMING_SNAKE_CASE  			=					layer_norm_eps
          _SCREAMING_SNAKE_CASE  			=					hidden_act






       @classmethod
       def 							UpperCamelCase					(				cls							,				A__							,				**A__   )     ->      "PretrainedConfig":
          cls._set_token_in_kwargs(lowerCamelCase__   )

          _SCREAMING_SNAKE_CASE			,				_SCREAMING_SNAKE_CASE  			=					cls.get_config_dict(lowerCamelCase__							,				**lowerCamelCase__   )

          # get the vision config dict if we are loading from GITConfig
          if config_dict.get("""model_type"""   ) == "git":
             _SCREAMING_SNAKE_CASE  			=					config_dict["""vision_config"""]

          if "model_type" in config_dict and hasattr(cls							,				"""model_type"""   ) and config_dict["model_type"] != cls.model_type:
             logger.warning(
                 F"You are using a model of type {config_dict['model_type']} to instantiate a model of type "
                 F"{cls.model_type}. This is not supported for all configurations of models and can yield errors."   )

          return cls.from_dict(lowerCamelCase__							,				**lowerCamelCase__   )






class  _a					(_lowerCamelCase):





       """simple docstring"""




       SCREAMING_SNAKE_CASE   =	'git'






       def __init__(				self							,				A__=None							,				A__=3_05_22							,				A__=7_68							,				A__=6							,				A__=12							,				A__=30_72							,				A__="gelu"							,				A__=0.1							,				A__=0.1							,				A__=10_24							,				A__=0.02							,				A__=1E-12							,				A__=0							,				A__="absolute"							,				A__=True							,				A__=False							,				A__=1_01							,				A__=1_02							,				A__=None							,				**A__							,				)     ->      Dict:
          super().__init__(bos_token_id=lowerCamelCase__							,				eos_token_id=lowerCamelCase__							,				pad_token_id=lowerCamelCase__							,				**lowerCamelCase__   )

          if vision_config is None:
             _SCREAMING_SNAKE_CASE  			=					{}
             logger.info("""vision_config is None. initializing the GitVisionConfig with default values."""   )

          _SCREAMING_SNAKE_CASE  			=					GitVisionConfig(**lowerCamelCase__   )
          _SCREAMING_SNAKE_CASE  			=					vocab_size
          _SCREAMING_SNAKE_CASE  			=					hidden_size
          _SCREAMING_SNAKE_CASE  			=					num_hidden_layers
          _SCREAMING_SNAKE_CASE  			=					num_attention_heads
          _SCREAMING_SNAKE_CASE  			=					hidden_act
          _SCREAMING_SNAKE_CASE  			=					intermediate_size
          _SCREAMING_SNAKE_CASE  			=					hidden_dropout_prob
          _SCREAMING_SNAKE_CASE  			=					attention_probs_dropout_prob
          _SCREAMING_SNAKE_CASE  			=					max_position_embeddings
          _SCREAMING_SNAKE_CASE  			=					initializer_range
          _SCREAMING_SNAKE_CASE  			=					layer_norm_eps
          _SCREAMING_SNAKE_CASE  			=					position_embedding_type
          _SCREAMING_SNAKE_CASE  			=					use_cache
          _SCREAMING_SNAKE_CASE  			=					tie_word_embeddings
          _SCREAMING_SNAKE_CASE  			=					num_image_with_embedding

          _SCREAMING_SNAKE_CASE  			=					bos_token_id
          _SCREAMING_SNAKE_CASE  			=					eos_token_id






       def 							UpperCamelCase					(				self   )     ->      str:
          _SCREAMING_SNAKE_CASE  			=					copy.deepcopy(self.__dict__   )
          _SCREAMING_SNAKE_CASE  			=					self.vision_config.to_dict()
          _SCREAMING_SNAKE_CASE  			=					self.__class__.model_type
          return output












from string import ascii_uppercase

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







def      lowerCamelCase_						(			UpperCamelCase__							: int					,	UpperCamelCase__							: int )	->			str:





				"""simple docstring"""


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


