




import copy
import os
from typing import Union

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


snake_case_ : str    		=       logging.get_logger(__name__)

snake_case_ : Optional[int]    		=       {
    '''google/pix2struct-textcaps-base''': (
        '''https://huggingface.co/google/pix2struct-textcaps-base/resolve/main/config.json'''
    ),
}







class __snake_case			(			__UpperCAmelCase		):
   UpperCAmelCase__  :    Optional[int]          =  'pix2struct_text_model'
   UpperCAmelCase__  :    Any          =  ['past_key_values']
   UpperCAmelCase__  :    Dict          =  {
       'hidden_size': 'hidden_size',
       'num_attention_heads': 'num_heads',
       'num_hidden_layers': 'num_layers',
   }







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

        """simple docstring"""


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

        UpperCAmelCase_          =							eos_token_id
        UpperCAmelCase_          =							decoder_start_token_id

        # for backwards compatibility
        UpperCAmelCase_          =							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		:						Optional[Any]					,						_snake_case		:						List[Any]					,						**_snake_case		:						Tuple):

        """simple docstring"""


        cls._set_token_in_kwargs(_snake_case)

        UpperCAmelCase_          =							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":
             UpperCAmelCase_          =							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 __snake_case			(			__UpperCAmelCase		):
   UpperCAmelCase__  :    Optional[Any]          =  'pix2struct_vision_model'







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

        """simple docstring"""


        super().__init__(**_snake_case)

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







   @classmethod
   def lowerCamelCase						(      cls		:						Union[str, Any]					,						_snake_case		:						Tuple					,						**_snake_case		:						int):

        """simple docstring"""


        cls._set_token_in_kwargs(_snake_case)

        UpperCAmelCase_          =							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":
             UpperCAmelCase_          =							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 __snake_case			(			__UpperCAmelCase		):
   UpperCAmelCase__  :    List[Any]          =  'pix2struct'
   UpperCAmelCase__  :    str          =  True







   def __init__(      self		:						str					,						_snake_case		:						Optional[Any]=None					,						_snake_case		:						int=None					,						_snake_case		:						Any=1.0					,						_snake_case		:						Dict=0.0_2					,						_snake_case		:						Tuple=False					,						_snake_case		:						List[str]=False					,						_snake_case		:						Optional[int]=True					,						**_snake_case		:						Any					,						):

        """simple docstring"""


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

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

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

        UpperCAmelCase_          =							PixaStructTextConfig(**_snake_case)
        UpperCAmelCase_          =							PixaStructVisionConfig(**_snake_case)

        UpperCAmelCase_          =							self.text_config.decoder_start_token_id
        UpperCAmelCase_          =							self.text_config.pad_token_id
        UpperCAmelCase_          =							self.text_config.eos_token_id

        UpperCAmelCase_          =							initializer_factor
        UpperCAmelCase_          =							initializer_range

        UpperCAmelCase_          =							self.initializer_range
        UpperCAmelCase_          =							self.initializer_range

        UpperCAmelCase_          =							is_vqa







   @classmethod
   def lowerCamelCase						(      cls		:						List[Any]					,						_snake_case		:						Union[str, Any]					,						_snake_case		:						str					,						**_snake_case		:						List[str]):

        """simple docstring"""


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







   def lowerCamelCase						(      self		:						Optional[int]):

        """simple docstring"""


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











'''simple docstring'''




from collections import deque
from math import floor
from random import random
from time import time







class 	_lowerCAmelCase							:


	def __init__(self							):
				A_	:						int	=     {}


	def     _a	(self       ,      lowercase       ,      lowercase       ,      lowercase=1							):
				if self.graph.get(lowercase							):
							if self.graph[u].count([w, v]							) == 0:
										self.graph[u].append([w, v]							)
				else:
							A_	:						Tuple	=     [[w, v]]
				if not self.graph.get(lowercase							):
							A_	:						Union[str, Any]	=     []


	def     _a	(self							):
				return list(self.graph							)


	def     _a	(self       ,      lowercase       ,      lowercase							):
				if self.graph.get(lowercase							):
							for _ in self.graph[u]:
										if _[1] == v:
													self.graph[u].remove(lowercase							)


	def     _a	(self       ,      lowercase=-2       ,      lowercase=-1							):
				if s == d:
							return []
				A_	:						Union[str, Any]	=     []
				A_	:						Dict	=     []
				if s == -2:
							A_	:						List[Any]	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						Any	=     s

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						Tuple	=     s
										for node in self.graph[s]:
													if visited.count(node[1]							) < 1:
																if node[1] == d:
																			visited.append(lowercase							)
																			return visited
																else:
																			stack.append(node[1]							)
																			visited.append(node[1]							)
																			A_	:						List[Any]	=     node[1]
																			break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										if len(lowercase							) != 0:
													A_	:						List[str]	=     stack[len(lowercase							) - 1]
							else:
										A_	:						str	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return visited


	def     _a	(self       ,      lowercase=-1							):
				if c == -1:
							A_	:						Tuple	=     floor(random() * 10000							) + 10
				for i in range(lowercase							):
							# every vertex has max 100 edges
							for _ in range(floor(random() * 102							) + 1							):
										A_	:						List[str]	=     floor(random() * c							) + 1
										if n != i:
													self.add_pair(lowercase       ,      lowercase       ,      1							)


	def     _a	(self       ,      lowercase=-2							):
				A_	:						Union[str, Any]	=     deque()
				A_	:						Tuple	=     []
				if s == -2:
							A_	:						int	=     list(self.graph							)[0]
				d.append(lowercase							)
				visited.append(lowercase							)
				while d:
							A_	:						Any	=     d.popleft()
							if len(self.graph[s]							) != 0:
										for node in self.graph[s]:
													if visited.count(node[1]							) < 1:
																d.append(node[1]							)
																visited.append(node[1]							)
				return visited


	def     _a	(self       ,      lowercase							):
				A_	:						Dict	=     0
				for x in self.graph:
							for y in self.graph[x]:
										if y[1] == u:
													count += 1
				return count


	def     _a	(self       ,      lowercase							):
				return len(self.graph[u]							)


	def     _a	(self       ,      lowercase=-2							):
				A_	:						Dict	=     []
				A_	:						Optional[Any]	=     []
				if s == -2:
							A_	:						int	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						Optional[Any]	=     s
				A_	:						int	=     []

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						Optional[int]	=     s
										for node in self.graph[s]:
													if visited.count(node[1]							) < 1:
																stack.append(node[1]							)
																visited.append(node[1]							)
																A_	:						Optional[Any]	=     node[1]
																break

            # check if all the children are visited
							if s == ss:
										sorted_nodes.append(stack.pop()							)
										if len(lowercase							) != 0:
													A_	:						int	=     stack[len(lowercase							) - 1]
							else:
										A_	:						Optional[Any]	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return sorted_nodes


	def     _a	(self							):
				A_	:						Dict	=     []
				A_	:						Tuple	=     []
				A_	:						Any	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						Optional[int]	=     -2
				A_	:						List[Any]	=     []
				A_	:						List[str]	=     s
				A_	:						Optional[int]	=     False
				A_	:						Union[str, Any]	=     set()

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						List[Any]	=     s
										for node in self.graph[s]:
													if (
													    visited.count(node[1]							) > 0
													    and node[1] != parent
													    and indirect_parents.count(node[1]							) > 0
													    and not on_the_way_back
													):
																A_	:						Dict	=     len(lowercase							) - 1
																while len_stack >= 0:
																			if stack[len_stack] == node[1]:
																						anticipating_nodes.add(node[1]							)
																						break
																			else:
																						anticipating_nodes.add(stack[len_stack]							)
																						len_stack -= 1
													if visited.count(node[1]							) < 1:
																stack.append(node[1]							)
																visited.append(node[1]							)
																A_	:						List[str]	=     node[1]
																break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										A_	:						str	=     True
										if len(lowercase							) != 0:
													A_	:						Union[str, Any]	=     stack[len(lowercase							) - 1]
							else:
										A_	:						Tuple	=     False
										indirect_parents.append(lowercase							)
										A_	:						Tuple	=     s
										A_	:						Tuple	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return list(lowercase							)


	def     _a	(self							):
				A_	:						Union[str, Any]	=     []
				A_	:						str	=     []
				A_	:						List[Any]	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						List[Any]	=     -2
				A_	:						Tuple	=     []
				A_	:						Optional[Any]	=     s
				A_	:						Union[str, Any]	=     False
				A_	:						Optional[Any]	=     set()

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						int	=     s
										for node in self.graph[s]:
													if (
													    visited.count(node[1]							) > 0
													    and node[1] != parent
													    and indirect_parents.count(node[1]							) > 0
													    and not on_the_way_back
													):
																A_	:						Dict	=     len(lowercase							) - 1
																while len_stack_minus_one >= 0:
																			if stack[len_stack_minus_one] == node[1]:
																						anticipating_nodes.add(node[1]							)
																						break
																			else:
																						return True
													if visited.count(node[1]							) < 1:
																stack.append(node[1]							)
																visited.append(node[1]							)
																A_	:						Optional[Any]	=     node[1]
																break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										A_	:						List[str]	=     True
										if len(lowercase							) != 0:
													A_	:						Dict	=     stack[len(lowercase							) - 1]
							else:
										A_	:						int	=     False
										indirect_parents.append(lowercase							)
										A_	:						List[Any]	=     s
										A_	:						int	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return False


	def     _a	(self       ,      lowercase=-2       ,      lowercase=-1							):
				A_	:						str	=     time()
				self.dfs(lowercase       ,      lowercase							)
				A_	:						Any	=     time()
				return end - begin


	def     _a	(self       ,      lowercase=-2							):
				A_	:						Union[str, Any]	=     time()
				self.bfs(lowercase							)
				A_	:						Optional[Any]	=     time()
				return end - begin







class 	_lowerCAmelCase							:


	def __init__(self							):
				A_	:						List[str]	=     {}


	def     _a	(self       ,      lowercase       ,      lowercase       ,      lowercase=1							):
				# check if the u exists
				if self.graph.get(lowercase							):
							# if there already is a edge
							if self.graph[u].count([w, v]							) == 0:
										self.graph[u].append([w, v]							)
				else:
							# if u does not exist
							A_	:						int	=     [[w, v]]
				# add the other way
				if self.graph.get(lowercase							):
							# if there already is a edge
							if self.graph[v].count([w, u]							) == 0:
										self.graph[v].append([w, u]							)
				else:
							# if u does not exist
							A_	:						Any	=     [[w, u]]


	def     _a	(self       ,      lowercase       ,      lowercase							):
				if self.graph.get(lowercase							):
							for _ in self.graph[u]:
										if _[1] == v:
													self.graph[u].remove(lowercase							)
        # the other way round
				if self.graph.get(lowercase							):
							for _ in self.graph[v]:
										if _[1] == u:
													self.graph[v].remove(lowercase							)


	def     _a	(self       ,      lowercase=-2       ,      lowercase=-1							):
				if s == d:
							return []
				A_	:						Dict	=     []
				A_	:						List[Any]	=     []
				if s == -2:
							A_	:						str	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						List[str]	=     s

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						Union[str, Any]	=     s
										for node in self.graph[s]:
													if visited.count(node[1]							) < 1:
																if node[1] == d:
																			visited.append(lowercase							)
																			return visited
																else:
																			stack.append(node[1]							)
																			visited.append(node[1]							)
																			A_	:						Optional[Any]	=     node[1]
																			break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										if len(lowercase							) != 0:
													A_	:						Dict	=     stack[len(lowercase							) - 1]
							else:
										A_	:						List[str]	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return visited


	def     _a	(self       ,      lowercase=-1							):
				if c == -1:
							A_	:						Union[str, Any]	=     floor(random() * 10000							) + 10
				for i in range(lowercase							):
							# every vertex has max 100 edges
							for _ in range(floor(random() * 102							) + 1							):
										A_	:						Union[str, Any]	=     floor(random() * c							) + 1
										if n != i:
													self.add_pair(lowercase       ,      lowercase       ,      1							)


	def     _a	(self       ,      lowercase=-2							):
				A_	:						int	=     deque()
				A_	:						Optional[Any]	=     []
				if s == -2:
							A_	:						Optional[int]	=     list(self.graph							)[0]
				d.append(lowercase							)
				visited.append(lowercase							)
				while d:
							A_	:						Union[str, Any]	=     d.popleft()
							if len(self.graph[s]							) != 0:
										for node in self.graph[s]:
													if visited.count(node[1]							) < 1:
																d.append(node[1]							)
																visited.append(node[1]							)
				return visited


	def     _a	(self       ,      lowercase							):
				return len(self.graph[u]							)


	def     _a	(self							):
				A_	:						Optional[int]	=     []
				A_	:						Dict	=     []
				A_	:						Union[str, Any]	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						List[Any]	=     -2
				A_	:						List[str]	=     []
				A_	:						int	=     s
				A_	:						Optional[int]	=     False
				A_	:						Any	=     set()

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						Tuple	=     s
										for node in self.graph[s]:
													if (
													    visited.count(node[1]							) > 0
													    and node[1] != parent
													    and indirect_parents.count(node[1]							) > 0
													    and not on_the_way_back
													):
																A_	:						int	=     len(lowercase							) - 1
																while len_stack >= 0:
																			if stack[len_stack] == node[1]:
																						anticipating_nodes.add(node[1]							)
																						break
																			else:
																						anticipating_nodes.add(stack[len_stack]							)
																						len_stack -= 1
													if visited.count(node[1]							) < 1:
																stack.append(node[1]							)
																visited.append(node[1]							)
																A_	:						Tuple	=     node[1]
																break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										A_	:						str	=     True
										if len(lowercase							) != 0:
													A_	:						Any	=     stack[len(lowercase							) - 1]
							else:
										A_	:						str	=     False
										indirect_parents.append(lowercase							)
										A_	:						Dict	=     s
										A_	:						List[Any]	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return list(lowercase							)


	def     _a	(self							):
				A_	:						Optional[int]	=     []
				A_	:						Optional[int]	=     []
				A_	:						List[str]	=     list(self.graph							)[0]
				stack.append(lowercase							)
				visited.append(lowercase							)
				A_	:						Any	=     -2
				A_	:						Any	=     []
				A_	:						Tuple	=     s
				A_	:						str	=     False
				A_	:						str	=     set()

				while True:
							# check if there is any non isolated nodes
							if len(self.graph[s]							) != 0:
										A_	:						Dict	=     s
										for node in self.graph[s]:
													if (
													    visited.count(node[1]							) > 0
													    and node[1] != parent
													    and indirect_parents.count(node[1]							) > 0
													    and not on_the_way_back
													):
																A_	:						Any	=     len(lowercase							) - 1
																while len_stack_minus_one >= 0:
																			if stack[len_stack_minus_one] == node[1]:
																						anticipating_nodes.add(node[1]							)
																						break
																			else:
																						return True
													if visited.count(node[1]							) < 1:
																stack.append(node[1]							)
																visited.append(node[1]							)
																A_	:						Optional[Any]	=     node[1]
																break

            # check if all the children are visited
							if s == ss:
										stack.pop()
										A_	:						Union[str, Any]	=     True
										if len(lowercase							) != 0:
													A_	:						List[Any]	=     stack[len(lowercase							) - 1]
							else:
										A_	:						int	=     False
										indirect_parents.append(lowercase							)
										A_	:						int	=     s
										A_	:						int	=     ss

							# check if se have reached the starting point
							if len(lowercase							) == 0:
										return False


	def     _a	(self							):
				return list(self.graph							)


	def     _a	(self       ,      lowercase=-2       ,      lowercase=-1							):
				A_	:						Any	=     time()
				self.dfs(lowercase       ,      lowercase							)
				A_	:						Optional[Any]	=     time()
				return end - begin


	def     _a	(self       ,      lowercase=-2							):
				A_	:						List[Any]	=     time()
				self.bfs(lowercase							)
				A_	:						List[Any]	=     time()
				return end - begin