




import copy
import os
from typing import Union

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


__UpperCamelCase					:       List[str]    					=      logging.get_logger(__name__)

__UpperCamelCase					:       List[str]    					=      {
    "google/pix2struct-textcaps-base": (
        "https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json"
    ),
}

class 		__lowerCAmelCase	(	__magic_name__ ):
							UpperCamelCase__					     =  '''pix2struct_text_model'''
							UpperCamelCase__					     =  ['''past_key_values''']
							UpperCamelCase__					     =  {
							    '''hidden_size''': '''hidden_size''',
							    '''num_attention_heads''': '''num_heads''',
							    '''num_hidden_layers''': '''num_layers''',
							}
							def __init__(						self						:Any		,      __magic_name__						:List[Any]=5_0244		,      __magic_name__						:List[str]=768		,      __magic_name__						:Optional[int]=64		,      __magic_name__						:int=2048		,      __magic_name__						:int=12		,      __magic_name__						:Union[str, Any]=12		,      __magic_name__						:Any=32		,      __magic_name__						:Tuple=128		,      __magic_name__						:Optional[Any]=0.1		,      __magic_name__						:Optional[int]=1E-6		,      __magic_name__						:Dict=1.0		,      __magic_name__						:Dict="gelu_new"		,      __magic_name__						:List[Any]=0		,      __magic_name__						:List[Any]=False		,      __magic_name__						:List[str]=0		,      __magic_name__						:List[Any]=1		,      __magic_name__						:Any=False		,      __magic_name__						:Optional[int]=True		,      **__magic_name__						:List[str]		,      ):







								'''simple docstring'''







								a										=							vocab_size
								a										=							hidden_size
								a										=							d_kv
								a										=							d_ff
								a										=							num_layers
								a										=							num_heads
								a										=							relative_attention_num_buckets
								a										=							relative_attention_max_distance
								a										=							dropout_rate
								a										=							layer_norm_epsilon
								a										=							initializer_factor
								a										=							use_cache

								a										=							eos_token_id
								a										=							decoder_start_token_id

								# for backwards compatibility
								a										=							dense_act_fn

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





							@classmethod
							def       lowerCamelCase__							(						cls						:Dict		,      __magic_name__						:Union[str, os.PathLike]		,      **__magic_name__						:Tuple				):







								'''simple docstring'''







								cls._set_token_in_kwargs(__magic_name__				)

								a				, a										=							cls.get_config_dict(__magic_name__		,      **__magic_name__				)

								# get the text config dict if we are loading from Pix2StructConfig
								if config_dict.get("""model_type"""				) == "pix2struct":
									a										=							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(__magic_name__		,      **__magic_name__				)







class 		__lowerCAmelCase	(	__magic_name__ ):
							UpperCamelCase__					     =  '''pix2struct_vision_model'''
							def __init__(						self						:Tuple		,      __magic_name__						:int=768		,      __magic_name__						:Union[str, Any]=768		,      __magic_name__						:Optional[int]=2048		,      __magic_name__						:Tuple=64		,      __magic_name__						:List[str]=12		,      __magic_name__						:str=12		,      __magic_name__						:Optional[Any]="gelu_new"		,      __magic_name__						:Union[str, Any]=1E-6		,      __magic_name__						:Union[str, Any]=0.0		,      __magic_name__						:Optional[Any]=0.0		,      __magic_name__						:List[Any]=1E-1_0		,      __magic_name__						:int=1.0		,      __magic_name__						:Optional[int]=4096		,      __magic_name__						:Union[str, Any]=32		,      __magic_name__						:List[str]=128		,      **__magic_name__						:Union[str, Any]		,      ):







								'''simple docstring'''







								super().__init__(**__magic_name__				)

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





							@classmethod
							def       lowerCamelCase__							(						cls						:int		,      __magic_name__						:Union[str, os.PathLike]		,      **__magic_name__						:Optional[Any]				):







								'''simple docstring'''







								cls._set_token_in_kwargs(__magic_name__				)

								a				, a										=							cls.get_config_dict(__magic_name__		,      **__magic_name__				)

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







class 		__lowerCAmelCase	(	__magic_name__ ):
							UpperCamelCase__					     =  '''pix2struct'''
							UpperCamelCase__					     =  True
							def __init__(						self						:Any		,      __magic_name__						:Optional[int]=None		,      __magic_name__						:int=None		,      __magic_name__						:Union[str, Any]=1.0		,      __magic_name__						:str=0.02		,      __magic_name__						:List[str]=False		,      __magic_name__						:List[str]=False		,      __magic_name__						:List[str]=True		,      **__magic_name__						:Optional[int]		,      ):







								'''simple docstring'''







								super().__init__(tie_word_embeddings=__magic_name__		,      is_encoder_decoder=__magic_name__		,      **__magic_name__				)

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

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

								a										=							PixaStructTextConfig(**__magic_name__				)
								a										=							PixaStructVisionConfig(**__magic_name__				)

								a										=							self.text_config.decoder_start_token_id
								a										=							self.text_config.pad_token_id
								a										=							self.text_config.eos_token_id

								a										=							initializer_factor
								a										=							initializer_range

								a										=							self.initializer_range
								a										=							self.initializer_range

								a										=							is_vqa
							@classmethod
							def       lowerCamelCase__							(						cls						:Union[str, Any]		,      __magic_name__						:PixaStructTextConfig		,      __magic_name__						:PixaStructVisionConfig		,      **__magic_name__						:Optional[int]				):







								'''simple docstring'''







								return cls(text_config=text_config.to_dict()		,      vision_config=vision_config.to_dict()		,      **__magic_name__				)





							def       lowerCamelCase__							(						self						:Optional[int]				):







								'''simple docstring'''







								a										=							copy.deepcopy(self.__dict__				)
								a										=							self.text_config.to_dict()
								a										=							self.vision_config.to_dict()
								a										=							self.__class__.model_type
								return output







from __future__ import annotations





def 		__A		(	__lowerCamelCase							,			__lowerCamelCase    )      ->       float:
	a										=							sorted(numsa + numsa    )
	a				, a										=							divmod(len(__lowerCamelCase    )							,			2    )
	if mod == 1:
		return all_numbers[div]
	else:
		return (all_numbers[div] + all_numbers[div - 1]) / 2


if __name__ == "__main__":
		import doctest

		doctest.testmod()
		__UpperCamelCase					:       Tuple    					=      [float(x) for x in input("Enter the elements of first array: ").split()]
		__UpperCamelCase					:       List[Any]    					=      [float(x) for x in input("Enter the elements of second array: ").split()]
		print(F'The median of two arrays is: {median_of_two_arrays(array_a, array_a)}')

