





import copy
import os
from typing import Union

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


UpperCAmelCase_      							=     logging.get_logger(__name__)

UpperCAmelCase_      							=     {
    '''google/pix2struct-textcaps-base''': (
        '''https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json'''
    ),
}
class 			UpperCamelCase_		(  __a					):
					lowerCAmelCase_							=	'''pix2struct_text_model'''
					lowerCAmelCase_							=	['''past_key_values''']
					lowerCAmelCase_							=	{
					    '''hidden_size''': '''hidden_size''',
					    '''num_attention_heads''': '''num_heads''',
					    '''num_hidden_layers''': '''num_layers''',
					}




					def __init__(		self				,						lowerCAmelCase_=5_0244				,						lowerCAmelCase_=768				,						lowerCAmelCase_=64				,						lowerCAmelCase_=2048				,						lowerCAmelCase_=12				,						lowerCAmelCase_=12				,						lowerCAmelCase_=32				,						lowerCAmelCase_=128				,						lowerCAmelCase_=0.1				,						lowerCAmelCase_=1E-6				,						lowerCAmelCase_=1.0				,						lowerCAmelCase_="gelu_new"				,						lowerCAmelCase_=0				,						lowerCAmelCase_=False				,						lowerCAmelCase_=0				,						lowerCAmelCase_=1				,						lowerCAmelCase_=False				,						lowerCAmelCase_=True				,						**lowerCAmelCase_				,						)		->							Dict:
										_snake_case									=				vocab_size
										_snake_case									=				hidden_size
										_snake_case									=				d_kv
										_snake_case									=				d_ff
										_snake_case									=				num_layers
										_snake_case									=				num_heads
										_snake_case									=				relative_attention_num_buckets
										_snake_case									=				relative_attention_max_distance
										_snake_case									=				dropout_rate
										_snake_case									=				layer_norm_epsilon
										_snake_case									=				initializer_factor
										_snake_case									=				use_cache

										_snake_case									=				eos_token_id
										_snake_case									=				decoder_start_token_id

										# for backwards compatibility
										_snake_case									=				dense_act_fn

										super().__init__(
										    pad_token_id=snake_case__				,						eos_token_id=snake_case__				,						decoder_start_token_id=snake_case__				,						tie_word_embeddings=snake_case__				,						is_decoder=snake_case__				,						**snake_case__				,						)






					@classmethod
					def 	lowerCAmelCase			(		cls				,						lowerCAmelCase_				,						**lowerCAmelCase_  )		->							Any:
										cls._set_token_in_kwargs(snake_case__  )

										_snake_case							,     _snake_case									=				cls.get_config_dict(snake_case__				,						**snake_case__  )

										# get the text config dict if we are loading from Pix2StructConfig
										if config_dict.get('model_type'  ) == "pix2struct":
															_snake_case									=				config_dict['text_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(snake_case__				,						**snake_case__  )





class 			UpperCamelCase_		(  __a					):
					lowerCAmelCase_							=	'''pix2struct_vision_model'''




					def __init__(		self				,						lowerCAmelCase_=768				,						lowerCAmelCase_=768				,						lowerCAmelCase_=2048				,						lowerCAmelCase_=64				,						lowerCAmelCase_=12				,						lowerCAmelCase_=12				,						lowerCAmelCase_="gelu_new"				,						lowerCAmelCase_=1E-6				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=1E-10				,						lowerCAmelCase_=1.0				,						lowerCAmelCase_=4096				,						lowerCAmelCase_=32				,						lowerCAmelCase_=128				,						**lowerCAmelCase_				,						)		->							Tuple:
										super().__init__(**snake_case__  )

										_snake_case									=				hidden_size
										_snake_case									=				patch_embed_hidden_size
										_snake_case									=				d_ff
										_snake_case									=				dropout_rate
										_snake_case									=				num_hidden_layers
										_snake_case									=				num_attention_heads
										_snake_case									=				initializer_range
										_snake_case									=				initializer_factor
										_snake_case									=				attention_dropout
										_snake_case									=				layer_norm_eps
										_snake_case									=				dense_act_fn
										_snake_case									=				seq_len
										_snake_case									=				relative_attention_num_buckets
										_snake_case									=				relative_attention_max_distance
										_snake_case									=				d_kv






					@classmethod
					def 	lowerCAmelCase			(		cls				,						lowerCAmelCase_				,						**lowerCAmelCase_  )		->							int:
										cls._set_token_in_kwargs(snake_case__  )

										_snake_case							,     _snake_case									=				cls.get_config_dict(snake_case__				,						**snake_case__  )

										# get the vision config dict if we are loading from Pix2StructConfig
										if config_dict.get('model_type'  ) == "pix2struct":
															_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(snake_case__				,						**snake_case__  )





class 			UpperCamelCase_		(  __a					):
					lowerCAmelCase_							=	'''pix2struct'''
					lowerCAmelCase_							=	True




					def __init__(		self				,						lowerCAmelCase_=None				,						lowerCAmelCase_=None				,						lowerCAmelCase_=1.0				,						lowerCAmelCase_=0.02				,						lowerCAmelCase_=False				,						lowerCAmelCase_=False				,						lowerCAmelCase_=True				,						**lowerCAmelCase_				,						)		->							List[str]:
										super().__init__(tie_word_embeddings=snake_case__				,						is_encoder_decoder=snake_case__				,						**snake_case__  )

										if text_config is None:
															_snake_case									=				{}
															logger.info('text_config is None. Initializing the Pix2StructTextConfig with default values.'  )

										if vision_config is None:
															_snake_case									=				{}
															logger.info('vision_config is None. Initializing the Pix2StructVisionConfig with default values.'  )

										_snake_case									=				PixaStructTextConfig(**snake_case__  )
										_snake_case									=				PixaStructVisionConfig(**snake_case__  )

										_snake_case									=				self.text_config.decoder_start_token_id
										_snake_case									=				self.text_config.pad_token_id
										_snake_case									=				self.text_config.eos_token_id

										_snake_case									=				initializer_factor
										_snake_case									=				initializer_range

										_snake_case									=				self.initializer_range
										_snake_case									=				self.initializer_range

										_snake_case									=				is_vqa




					@classmethod
					def 	lowerCAmelCase			(		cls				,						lowerCAmelCase_				,						lowerCAmelCase_				,						**lowerCAmelCase_  )		->							Optional[Any]:
										return cls(text_config=text_config.to_dict()				,						vision_config=vision_config.to_dict()				,						**snake_case__  )






					def 	lowerCAmelCase			(		self  )		->							Any:
										_snake_case									=				copy.deepcopy(self.__dict__  )
										_snake_case									=				self.text_config.to_dict()
										_snake_case									=				self.vision_config.to_dict()
										_snake_case									=				self.__class__.model_type
										return output










from cva import destroyAllWindows, imread, imshow, waitKey





def 						lowerCamelCase__     (     UpperCamelCase__			:       Optional[int]						)			-> Optional[int]:



					'''simple docstring'''




					_snake_case							,     _snake_case									=				img.shape[0], img.shape[1]

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

					return img


if __name__ == "__main__":
					# read original image
					UpperCAmelCase_      							=     imread("""image_data/lena.jpg""", 1)

					# convert to its negative
					UpperCAmelCase_      							=     convert_to_negative(img)

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



