





"""simple docstring"""





import copy
import os
from typing import Union

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


SCREAMING_SNAKE_CASE__					=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__					=   {
    "microsoft/git-base": "https://huggingface.co/microsoft/git-base/resolve/main/config.json",
}

class 		lowercase					(					_UpperCAmelCase					):
      _SCREAMING_SNAKE_CASE					=      'git_vision_model'





      def __init__(       self      ,						lowercase=768      ,						lowercase=3_072      ,						lowercase=12      ,						lowercase=12      ,						lowercase=3      ,						lowercase=224      ,						lowercase=16      ,						lowercase="quick_gelu"      ,						lowercase=1e-5      ,						lowercase=0.0      ,						lowercase=0.02      ,						**lowercase      ,						)		->     Any:
            super().__init__(**A_ )

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





      @classmethod
      def     _snake_case			(       cls      ,						lowercase      ,						**lowercase )		->     "PretrainedConfig":
            cls._set_token_in_kwargs(A_ )

            lowerCAmelCase  						=       cls.get_config_dict(A_      ,						**A_ )

            # get the vision config dict if we are loading from GITConfig
            if config_dict.get("""model_type""" ) == "git":
                  lowerCAmelCase  						=       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(A_      ,						**A_ )







class 		lowercase					(					_UpperCAmelCase					):
      _SCREAMING_SNAKE_CASE					=      'git'





      def __init__(       self      ,						lowercase=None      ,						lowercase=30_522      ,						lowercase=768      ,						lowercase=6      ,						lowercase=12      ,						lowercase=3_072      ,						lowercase="gelu"      ,						lowercase=0.1      ,						lowercase=0.1      ,						lowercase=1_024      ,						lowercase=0.02      ,						lowercase=1e-12      ,						lowercase=0      ,						lowercase="absolute"      ,						lowercase=True      ,						lowercase=False      ,						lowercase=101      ,						lowercase=102      ,						lowercase=None      ,						**lowercase      ,						)		->     Optional[int]:
            super().__init__(bos_token_id=A_      ,						eos_token_id=A_      ,						pad_token_id=A_      ,						**A_ )

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

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

            lowerCAmelCase  						=       bos_token_id
            lowerCAmelCase  						=       eos_token_id





      def     _snake_case			(       self )		->     List[str]:
            lowerCAmelCase  						=       copy.deepcopy(self.__dict__ )
            lowerCAmelCase  						=       self.vision_config.to_dict()
            lowerCAmelCase  						=       self.__class__.model_type
            return output









def 		_lowercase (     lowercase__   ,	lowercase__						):

      if density <= 0:
            raise ValueError('''Impossible fluid density'''						)
      if bulk_modulus <= 0:
            raise ValueError('''Impossible bulk modulus'''						)

      return (bulk_modulus / density) ** 0.5


if __name__ == "__main__":
 import doctest

 doctest.testmod()


