






import copy
import os
from typing import Union

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


snake_case     					=		logging.get_logger(__name__)

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


class 			SCREAMING_SNAKE_CASE      (      SCREAMING_SNAKE_CASE__       ):
     '''simple docstring'''


     UpperCamelCase_				:		List[Any]								=						'''git_vision_model'''


     def __init__(					self							:						List[str]       ,			UpperCAmelCase_							:						Union[str, Any]=768       ,			UpperCAmelCase_							:						Tuple=3072       ,			UpperCAmelCase_							:						Optional[Any]=12       ,			UpperCAmelCase_							:						Union[str, Any]=12       ,			UpperCAmelCase_							:						List[Any]=3       ,			UpperCAmelCase_							:						Optional[Any]=224       ,			UpperCAmelCase_							:						Dict=16       ,			UpperCAmelCase_							:						int="quick_gelu"       ,			UpperCAmelCase_							:						List[Any]=1E-5       ,			UpperCAmelCase_							:						Dict=0.0       ,			UpperCAmelCase_							:						List[str]=0.02       ,			**UpperCAmelCase_							:						int       ,			):
       super().__init__(**A_   )

       SCREAMING_SNAKE_CASE							:   Dict						    =     hidden_size
       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     intermediate_size
       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     num_hidden_layers
       SCREAMING_SNAKE_CASE							:   str						    =     num_attention_heads
       SCREAMING_SNAKE_CASE							:   Any						    =     num_channels
       SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     patch_size
       SCREAMING_SNAKE_CASE							:   int						    =     image_size
       SCREAMING_SNAKE_CASE							:   List[Any]						    =     initializer_range
       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     attention_dropout
       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     layer_norm_eps
       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     hidden_act






     @classmethod
     def 					_A							(					cls							:						Optional[int]       ,			UpperCAmelCase_							:						int       ,			**UpperCAmelCase_							:						Dict   ):
       cls._set_token_in_kwargs(A_   )

       SCREAMING_SNAKE_CASE							:   List[Any]						    =     cls.get_config_dict(A_       ,			**A_   )

       # get the vision config dict if we are loading from GITConfig
       if config_dict.get("model_type"   ) == "git":
         SCREAMING_SNAKE_CASE							:   List[Any]						    =     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 			SCREAMING_SNAKE_CASE      (      SCREAMING_SNAKE_CASE__       ):
     '''simple docstring'''


     UpperCamelCase_				:		str								=						'''git'''


     def __init__(					self							:						List[Any]       ,			UpperCAmelCase_							:						Union[str, Any]=None       ,			UpperCAmelCase_							:						str=3_0522       ,			UpperCAmelCase_							:						Dict=768       ,			UpperCAmelCase_							:						Any=6       ,			UpperCAmelCase_							:						List[Any]=12       ,			UpperCAmelCase_							:						Any=3072       ,			UpperCAmelCase_							:						Optional[int]="gelu"       ,			UpperCAmelCase_							:						Any=0.1       ,			UpperCAmelCase_							:						List[Any]=0.1       ,			UpperCAmelCase_							:						Tuple=1024       ,			UpperCAmelCase_							:						List[Any]=0.02       ,			UpperCAmelCase_							:						Optional[Any]=1E-12       ,			UpperCAmelCase_							:						int=0       ,			UpperCAmelCase_							:						int="absolute"       ,			UpperCAmelCase_							:						Tuple=True       ,			UpperCAmelCase_							:						List[str]=False       ,			UpperCAmelCase_							:						int=101       ,			UpperCAmelCase_							:						str=102       ,			UpperCAmelCase_							:						Any=None       ,			**UpperCAmelCase_							:						List[Any]       ,			):
       super().__init__(bos_token_id=A_       ,			eos_token_id=A_       ,			pad_token_id=A_       ,			**A_   )

       if vision_config is None:
         SCREAMING_SNAKE_CASE							:   List[Any]						    =     {}
         logger.info("vision_config is None. initializing the GitVisionConfig with default values."   )

       SCREAMING_SNAKE_CASE							:   List[Any]						    =     GitVisionConfig(**A_   )
       SCREAMING_SNAKE_CASE							:   Dict						    =     vocab_size
       SCREAMING_SNAKE_CASE							:   Any						    =     hidden_size
       SCREAMING_SNAKE_CASE							:   int						    =     num_hidden_layers
       SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     num_attention_heads
       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     hidden_act
       SCREAMING_SNAKE_CASE							:   Dict						    =     intermediate_size
       SCREAMING_SNAKE_CASE							:   int						    =     hidden_dropout_prob
       SCREAMING_SNAKE_CASE							:   Any						    =     attention_probs_dropout_prob
       SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     max_position_embeddings
       SCREAMING_SNAKE_CASE							:   List[Any]						    =     initializer_range
       SCREAMING_SNAKE_CASE							:   Any						    =     layer_norm_eps
       SCREAMING_SNAKE_CASE							:   str						    =     position_embedding_type
       SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     use_cache
       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     tie_word_embeddings
       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     num_image_with_embedding

       SCREAMING_SNAKE_CASE							:   str						    =     bos_token_id
       SCREAMING_SNAKE_CASE							:   int						    =     eos_token_id






     def 					_A							(					self							:						str   ):
       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     copy.deepcopy(self.__dict__   )
       SCREAMING_SNAKE_CASE							:   Tuple						    =     self.vision_config.to_dict()
       SCREAMING_SNAKE_CASE							:   List[str]						    =     self.__class__.model_type
       return output








"""simple docstring"""




from cva import destroyAllWindows, imread, imshow, waitKey




def 			_lowerCAmelCase		(		_UpperCamelCase    ):






  """simple docstring"""



  _lowercase			,					_lowercase:      Union[str, Any]   			=  img.shape[0], img.shape[1]

  # converting each pixel's color to its negative
  for i in range(_UpperCamelCase    ):
    for j in range(_UpperCamelCase    ):
      _lowercase:      Dict   			=  [255, 255, 255] - img[i][j]

  return img


if __name__ == "__main__":
  # read original image
  A__ :       Optional[Any]				= imread('image_data/lena.jpg', 1)

  # convert to its negative
  A__ :       Dict				= convert_to_negative(img)

  # show result image
  imshow('negative of original image', img)
  waitKey(0)
  destroyAllWindows()
