






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 							snake_case_       (    lowerCamelCase__      ):

						"""simple docstring"""



						snake_case__        =      """pix2struct_text_model"""
						snake_case__        =      ["""past_key_values"""]
						snake_case__        =      {
						    """hidden_size""": """hidden_size""",
						    """num_attention_heads""": """num_heads""",
						    """num_hidden_layers""": """num_layers""",
						}



						def __init__(self:					List[Any] ,					__UpperCAmelCase:					Any=50244 ,					__UpperCAmelCase:					List[str]=768 ,					__UpperCAmelCase:					List[Any]=64 ,					__UpperCAmelCase:					int=2048 ,					__UpperCAmelCase:					List[Any]=12 ,					__UpperCAmelCase:					int=12 ,					__UpperCAmelCase:					Tuple=32 ,					__UpperCAmelCase:					Dict=128 ,					__UpperCAmelCase:					str=0.1 ,					__UpperCAmelCase:					int=1E-6 ,					__UpperCAmelCase:					Optional[Any]=1.0 ,					__UpperCAmelCase:					Tuple="gelu_new" ,					__UpperCAmelCase:					Any=0 ,					__UpperCAmelCase:					Dict=False ,					__UpperCAmelCase:					int=0 ,					__UpperCAmelCase:					Dict=1 ,					__UpperCAmelCase:					Optional[Any]=False ,					__UpperCAmelCase:					str=True ,					**__UpperCAmelCase:					int ,					)    ->     List[str]:




											'''simple docstring'''



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

											__a					:						List[str]      =					eos_token_id
											__a					:						str      =					decoder_start_token_id

											# for backwards compatibility
											__a					:						Dict      =					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        UpperCAmelCase__					(cls:					Dict ,					__UpperCAmelCase:					List[str] ,					**__UpperCAmelCase:					Dict   )    ->     Dict:




											'''simple docstring'''



											cls._set_token_in_kwargs(a__   )

											__a					:						Union[str, 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":
																__a					:						Optional[int]      =					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 							snake_case_       (    lowerCamelCase__      ):

						"""simple docstring"""



						snake_case__        =      """pix2struct_vision_model"""



						def __init__(self:					Any ,					__UpperCAmelCase:					Union[str, Any]=768 ,					__UpperCAmelCase:					int=768 ,					__UpperCAmelCase:					str=2048 ,					__UpperCAmelCase:					Optional[int]=64 ,					__UpperCAmelCase:					Any=12 ,					__UpperCAmelCase:					int=12 ,					__UpperCAmelCase:					Dict="gelu_new" ,					__UpperCAmelCase:					List[Any]=1E-6 ,					__UpperCAmelCase:					Union[str, Any]=0.0 ,					__UpperCAmelCase:					Any=0.0 ,					__UpperCAmelCase:					Optional[Any]=1E-10 ,					__UpperCAmelCase:					Tuple=1.0 ,					__UpperCAmelCase:					List[Any]=4096 ,					__UpperCAmelCase:					List[Any]=32 ,					__UpperCAmelCase:					List[Any]=128 ,					**__UpperCAmelCase:					Any ,					)    ->     Optional[int]:




											'''simple docstring'''



											super().__init__(**a__   )

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



						@classmethod
						def        UpperCAmelCase__					(cls:					List[str] ,					__UpperCAmelCase:					int ,					**__UpperCAmelCase:					Optional[Any]   )    ->     List[str]:




											'''simple docstring'''



											cls._set_token_in_kwargs(a__   )

											__a					:						int      =					cls.get_config_dict(a__ ,					**a__   )

											# get the vision config dict if we are loading from Pix2StructConfig
											if config_dict.get("model_type"   ) == "pix2struct":
																__a					:						List[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 							snake_case_       (    lowerCamelCase__      ):

						"""simple docstring"""



						snake_case__        =      """pix2struct"""
						snake_case__        =      True



						def __init__(self:					List[str] ,					__UpperCAmelCase:					List[str]=None ,					__UpperCAmelCase:					List[Any]=None ,					__UpperCAmelCase:					Union[str, Any]=1.0 ,					__UpperCAmelCase:					Dict=0.02 ,					__UpperCAmelCase:					Optional[Any]=False ,					__UpperCAmelCase:					List[str]=False ,					__UpperCAmelCase:					Union[str, Any]=True ,					**__UpperCAmelCase:					Tuple ,					)    ->     Optional[int]:




											'''simple docstring'''



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

											if text_config is None:
																__a					:						Optional[int]      =					{}
																logger.info("text_config is None. Initializing the Pix2StructTextConfig with default values."   )

											if vision_config is None:
																__a					:						Optional[int]      =					{}
																logger.info("vision_config is None. Initializing the Pix2StructVisionConfig with default values."   )

											__a					:						List[Any]      =					PixaStructTextConfig(**a__   )
											__a					:						str      =					PixaStructVisionConfig(**a__   )

											__a					:						Union[str, Any]      =					self.text_config.decoder_start_token_id
											__a					:						Any      =					self.text_config.pad_token_id
											__a					:						Any      =					self.text_config.eos_token_id

											__a					:						Optional[int]      =					initializer_factor
											__a					:						Optional[Any]      =					initializer_range

											__a					:						str      =					self.initializer_range
											__a					:						Optional[Any]      =					self.initializer_range

											__a					:						List[str]      =					is_vqa



						@classmethod
						def        UpperCAmelCase__					(cls:					Dict ,					__UpperCAmelCase:					Dict ,					__UpperCAmelCase:					str ,					**__UpperCAmelCase:					int   )    ->     Optional[Any]:




											'''simple docstring'''



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



						def        UpperCAmelCase__					(self:					List[str]   )    ->     Dict:




											'''simple docstring'''



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












import mpmath  # for roots of unity
import numpy as np







class       __A							:




      """simple docstring"""







      def __init__(		self   ,				a__=None   ,				a__=None):



             """simple docstring"""





             _lowerCamelCase				:  List[str]						=		list(poly_a or [0])[:]
             _lowerCamelCase				:  Union[str, Any]						=		list(poly_b or [0])[:]

             # Remove leading zero coefficients
             while self.polyA[-1] == 0:
                    self.polyA.pop()
             _lowerCamelCase				:  Optional[int]						=		len(self.polyA)

             while self.polyB[-1] == 0:
                    self.polyB.pop()
             _lowerCamelCase				:  Any						=		len(self.polyB)

             # Add 0 to make lengths equal a power of 2
             _lowerCamelCase				:  Dict						=		int(
                 2 ** np.ceil(np.loga(len(self.polyA) + len(self.polyB) - 1)))

             while len(self.polyA) < self.c_max_length:
                    self.polyA.append(0)
             while len(self.polyB) < self.c_max_length:
                    self.polyB.append(0)
             # A complex root used for the fourier transform
             _lowerCamelCase				:  int						=		complex(mpmath.root(x=1   ,				n=self.c_max_length   ,				k=1))

             # The product
             _lowerCamelCase				:  Optional[int]						=		self.__multiply()


      def 					__snake_case      (		self   ,				a__):



             """simple docstring"""





             _lowerCamelCase				:  List[Any]						=		[[x] for x in self.polyA] if which == '''A''' else [[x] for x in self.polyB]
             # Corner case
             if len(a__) <= 1:
                    return dft[0]
             #
             _lowerCamelCase				:  Optional[Any]						=		self.c_max_length // 2
             while next_ncol > 0:
                    _lowerCamelCase				:  Optional[Any]						=		[[] for i in range(a__)]
                    _lowerCamelCase				:  List[str]						=		self.root**next_ncol

                    # First half of next step
                    _lowerCamelCase				:  Tuple						=		1
                    for j in range(self.c_max_length // (next_ncol * 2)):
                           for i in range(a__):
                                  new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j])
                           current_root *= root
                    # Second half of next step
                    _lowerCamelCase				:  Tuple						=		1
                    for j in range(self.c_max_length // (next_ncol * 2)):
                           for i in range(a__):
                                  new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j])
                           current_root *= root
                    # Update
                    _lowerCamelCase				:  Tuple						=		new_dft
                    _lowerCamelCase				:  Union[str, Any]						=		next_ncol // 2
             return dft[0]


      def 					__snake_case      (		self):



             """simple docstring"""





             _lowerCamelCase				:  Optional[int]						=		self.__dft('''A''')
             _lowerCamelCase				:  Optional[Any]						=		self.__dft('''B''')
             _lowerCamelCase				:  List[str]						=		[[dft_a[i] * dft_b[i] for i in range(self.c_max_length)]]
             del dft_a
             del dft_b

             # Corner Case
             if len(inverce_c[0]) <= 1:
                    return inverce_c[0]
             # Inverse DFT
             _lowerCamelCase				:  str						=		2
             while next_ncol <= self.c_max_length:
                    _lowerCamelCase				:  Optional[int]						=		[[] for i in range(a__)]
                    _lowerCamelCase				:  Dict						=		self.root ** (next_ncol // 2)
                    _lowerCamelCase				:  List[str]						=		1
                    # First half of next step
                    for j in range(self.c_max_length // next_ncol):
                           for i in range(next_ncol // 2):
                                  # Even positions
                                  new_inverse_c[i].append(
                                      (
                                          inverce_c[i][j]
                                          + inverce_c[i][j + self.c_max_length // next_ncol]
                                      )
                                      / 2)
                                  # Odd positions
                                  new_inverse_c[i + next_ncol // 2].append(
                                      (
                                          inverce_c[i][j]
                                          - inverce_c[i][j + self.c_max_length // next_ncol]
                                      )
                                      / (2 * current_root))
                           current_root *= root
                    # Update
                    _lowerCamelCase				:  Any						=		new_inverse_c
                    next_ncol *= 2
             # Unpack
             _lowerCamelCase				:  Optional[int]						=		[round(x[0].real   ,				8) + round(x[0].imag   ,				8) * 1j for x in inverce_c]

             # Remove leading 0's
             while inverce_c[-1] == 0:
                    inverce_c.pop()
             return inverce_c



      def __str__(		self):



             """simple docstring"""





             _lowerCamelCase				:  Union[str, Any]						=		'''A = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyA[: self.len_A]))
             _lowerCamelCase				:  List[str]						=		'''B = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyB[: self.len_B]))
             _lowerCamelCase				:  Tuple						=		'''A*B = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.product))

             return F"""{a}\n{b}\n{c}"""


# Unit tests
if __name__ == "__main__":
       import doctest

       doctest.testmod()

