




'''simple docstring'''


import copy
import os
from typing import Union

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


UpperCAmelCase_					=   logging.get_logger(__name__)

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





class  __lowercase    (	__SCREAMING_SNAKE_CASE			):
   _a    						=   """git_vision_model"""







   def __init__(						self   ,				UpperCamelCase=768   ,				UpperCamelCase=3072   ,				UpperCamelCase=12   ,				UpperCamelCase=12   ,				UpperCamelCase=3   ,				UpperCamelCase=224   ,				UpperCamelCase=16   ,				UpperCamelCase="quick_gelu"   ,				UpperCamelCase=1e-5   ,				UpperCamelCase=0.0   ,				UpperCamelCase=0.02   ,				**UpperCamelCase   ,				)					->     Union[str, Any]:
     super().__init__(**lowerCAmelCase__   )

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







   @classmethod
   def 		UpperCamelCase__      (						cls   ,				UpperCamelCase   ,				**UpperCamelCase   )					->     List[str]:
     cls._set_token_in_kwargs(lowerCAmelCase__   )

     __a								=       cls.get_config_dict(lowerCAmelCase__   ,				**lowerCAmelCase__   )

     # get the vision config dict if we are loading from GITConfig
     if config_dict.get('model_type'   ) == "git":
       __a								=       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  __lowercase    (	__SCREAMING_SNAKE_CASE			):
   _a    						=   """git"""







   def __init__(						self   ,				UpperCamelCase=None   ,				UpperCamelCase=3_0522   ,				UpperCamelCase=768   ,				UpperCamelCase=6   ,				UpperCamelCase=12   ,				UpperCamelCase=3072   ,				UpperCamelCase="gelu"   ,				UpperCamelCase=0.1   ,				UpperCamelCase=0.1   ,				UpperCamelCase=1024   ,				UpperCamelCase=0.02   ,				UpperCamelCase=1e-12   ,				UpperCamelCase=0   ,				UpperCamelCase="absolute"   ,				UpperCamelCase=True   ,				UpperCamelCase=False   ,				UpperCamelCase=101   ,				UpperCamelCase=102   ,				UpperCamelCase=None   ,				**UpperCamelCase   ,				)					->     List[str]:
     super().__init__(bos_token_id=lowerCAmelCase__   ,				eos_token_id=lowerCAmelCase__   ,				pad_token_id=lowerCAmelCase__   ,				**lowerCAmelCase__   )

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

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

     __a								=       bos_token_id
     __a								=       eos_token_id







   def 		UpperCamelCase__      (						self   )					->     Union[str, Any]:
     __a								=       copy.deepcopy(self.__dict__   )
     __a								=       self.vision_config.to_dict()
     __a								=       self.__class__.model_type
     return output







from __future__ import annotations






def 						a__			(				A__,      A__ = None,      A__ = None				):
			if start is None:
						SCREAMING_SNAKE_CASE_		:     List[str]					=					0

			if end is None:
						SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					len(A__				) - 1

			if start >= end:
						return

			SCREAMING_SNAKE_CASE_		:     Tuple					=					(start + end) // 2

			slowsort(A__,      A__,      A__				)
			slowsort(A__,      mid + 1,      A__				)

			if sequence[end] < sequence[mid]:
						SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		:     Optional[Any]					=					sequence[mid], sequence[end]

			slowsort(A__,      A__,      end - 1				)


if __name__ == "__main__":
				from doctest import testmod

				testmod()





