






'''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__			=      {
    'google/pix2struct-textcaps-base': (
        'https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json'
    ),
}


class 							_UpperCAmelCase    (		snake_case      ):
    __lowerCamelCase: str									=     'pix2struct_text_model'
    __lowerCamelCase: List[str]									=     ['past_key_values']
    __lowerCamelCase: str									=     {
        'hidden_size': 'hidden_size',
        'num_attention_heads': 'num_heads',
        'num_hidden_layers': 'num_layers',
    }




    def __init__(      self	:							Union[str, Any]	,  a	:							Any=5_0_2_4_4	,  a	:							Optional[int]=7_6_8	,  a	:							str=6_4	,  a	:							Union[str, Any]=2_0_4_8	,  a	:							Optional[int]=1_2	,  a	:							Union[str, Any]=1_2	,  a	:							int=3_2	,  a	:							Optional[Any]=1_2_8	,  a	:							int=0.1	,  a	:							List[str]=1e-6	,  a	:							List[Any]=1.0	,  a	:							Union[str, Any]="gelu_new"	,  a	:							Dict=0	,  a	:							Dict=False	,  a	:							Optional[Any]=0	,  a	:							List[Any]=1	,  a	:							Dict=False	,  a	:							List[str]=True	,  **a	:							Optional[int]	,  ):






       '''simple docstring'''






       lowercase_						:     List[str]							     =  vocab_size
       lowercase_						:     Union[str, Any]							     =  hidden_size
       lowercase_						:     Tuple							     =  d_kv
       lowercase_						:     List[Any]							     =  d_ff
       lowercase_						:     List[str]							     =  num_layers
       lowercase_						:     Dict							     =  num_heads
       lowercase_						:     List[Any]							     =  relative_attention_num_buckets
       lowercase_						:     List[Any]							     =  relative_attention_max_distance
       lowercase_						:     Tuple							     =  dropout_rate
       lowercase_						:     str							     =  layer_norm_epsilon
       lowercase_						:     int							     =  initializer_factor
       lowercase_						:     Tuple							     =  use_cache

       lowercase_						:     Any							     =  eos_token_id
       lowercase_						:     Dict							     =  decoder_start_token_id

       # for backwards compatibility
       lowercase_						:     Any							     =  dense_act_fn

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





    @classmethod
    def 					lowerCAmelCase__					(      cls	:							str	,  a	:							Union[str, os.PathLike]	,  **a	:							Any      ):






       '''simple docstring'''






       cls._set_token_in_kwargs(a      )

       lowercase_     ,		lowercase_						:     Optional[Any]							     =  cls.get_config_dict(a	,  **a      )

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


class 							_UpperCAmelCase    (		snake_case      ):
    __lowerCamelCase: Tuple									=     'pix2struct_vision_model'




    def __init__(      self	:							Any	,  a	:							Union[str, Any]=7_6_8	,  a	:							Dict=7_6_8	,  a	:							str=2_0_4_8	,  a	:							List[Any]=6_4	,  a	:							int=1_2	,  a	:							Any=1_2	,  a	:							int="gelu_new"	,  a	:							Optional[int]=1e-6	,  a	:							List[Any]=0.0	,  a	:							Dict=0.0	,  a	:							List[str]=1e-10	,  a	:							int=1.0	,  a	:							Tuple=4_0_9_6	,  a	:							int=3_2	,  a	:							str=1_2_8	,  **a	:							Dict	,  ):






       '''simple docstring'''






       super().__init__(**a      )

       lowercase_						:     Optional[Any]							     =  hidden_size
       lowercase_						:     List[str]							     =  patch_embed_hidden_size
       lowercase_						:     Dict							     =  d_ff
       lowercase_						:     List[Any]							     =  dropout_rate
       lowercase_						:     str							     =  num_hidden_layers
       lowercase_						:     Union[str, Any]							     =  num_attention_heads
       lowercase_						:     List[str]							     =  initializer_range
       lowercase_						:     Any							     =  initializer_factor
       lowercase_						:     str							     =  attention_dropout
       lowercase_						:     Optional[Any]							     =  layer_norm_eps
       lowercase_						:     Optional[int]							     =  dense_act_fn
       lowercase_						:     int							     =  seq_len
       lowercase_						:     Optional[int]							     =  relative_attention_num_buckets
       lowercase_						:     Optional[Any]							     =  relative_attention_max_distance
       lowercase_						:     Union[str, Any]							     =  d_kv





    @classmethod
    def 					lowerCAmelCase__					(      cls	:							List[Any]	,  a	:							Union[str, os.PathLike]	,  **a	:							Any      ):






       '''simple docstring'''






       cls._set_token_in_kwargs(a      )

       lowercase_     ,		lowercase_						:     str							     =  cls.get_config_dict(a	,  **a      )

       # get the vision config dict if we are loading from Pix2StructConfig
       if config_dict.get("model_type"      ) == "pix2struct":
          lowercase_						:     str							     =  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 							_UpperCAmelCase    (		snake_case      ):
    __lowerCamelCase: Optional[int]									=     'pix2struct'
    __lowerCamelCase: Union[str, Any]									=     True




    def __init__(      self	:							str	,  a	:							Union[str, Any]=None	,  a	:							Any=None	,  a	:							str=1.0	,  a	:							List[str]=0.02	,  a	:							Any=False	,  a	:							List[str]=False	,  a	:							Optional[int]=True	,  **a	:							List[Any]	,  ):






       '''simple docstring'''






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

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

       if vision_config is None:
          lowercase_						:     Union[str, Any]							     =  {}
          logger.info("vision_config is None. Initializing the Pix2StructVisionConfig with default values."      )

       lowercase_						:     Optional[Any]							     =  PixaStructTextConfig(**a      )
       lowercase_						:     Dict							     =  PixaStructVisionConfig(**a      )

       lowercase_						:     int							     =  self.text_config.decoder_start_token_id
       lowercase_						:     List[Any]							     =  self.text_config.pad_token_id
       lowercase_						:     List[Any]							     =  self.text_config.eos_token_id

       lowercase_						:     List[str]							     =  initializer_factor
       lowercase_						:     List[str]							     =  initializer_range

       lowercase_						:     Tuple							     =  self.initializer_range
       lowercase_						:     Union[str, Any]							     =  self.initializer_range

       lowercase_						:     Optional[int]							     =  is_vqa




    @classmethod
    def 					lowerCAmelCase__					(      cls	:							List[Any]	,  a	:							PixaStructTextConfig	,  a	:							PixaStructVisionConfig	,  **a	:							Optional[int]      ):






       '''simple docstring'''






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





    def 					lowerCAmelCase__					(      self	:							Optional[Any]      ):






       '''simple docstring'''






       lowercase_						:     Any							     =  copy.deepcopy(self.__dict__      )
       lowercase_						:     str							     =  self.text_config.to_dict()
       lowercase_						:     int							     =  self.vision_config.to_dict()
       lowercase_						:     List[Any]							     =  self.__class__.model_type
       return output












'''simple docstring'''
def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase = 100				):


   """simple docstring"""




   lowercase_						:     Dict							     =  n * (n + 1) * (2 * n + 1) / 6
   lowercase_						:     int							     =  (n * (n + 1) / 2) ** 2
   return int(square_of_sum - sum_of_squares				)


if __name__ == "__main__":
 print(f"""{solution() = }""")




