
'''simple docstring'''



import copy
import os
from typing import Union

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


_lowercase    =		logging.get_logger(__name__)

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




class   UpperCAmelCase_			(		UpperCamelCase__			):






						'''simple docstring'''






						_lowercase		:				Any									=       '''pix2struct_text_model'''
						_lowercase		:				Dict									=       ['''past_key_values''']
						_lowercase		:				Optional[Any]									=       {
						    '''hidden_size''': '''hidden_size''',
						    '''num_attention_heads''': '''num_heads''',
						    '''num_hidden_layers''': '''num_layers''',
						}




						def __init__( self   ,       _lowercase=50_244   ,       _lowercase=768   ,       _lowercase=64   ,       _lowercase=2_048   ,       _lowercase=12   ,       _lowercase=12   ,       _lowercase=32   ,       _lowercase=128   ,       _lowercase=0.1   ,       _lowercase=1e-6   ,       _lowercase=1.0   ,       _lowercase="gelu_new"   ,       _lowercase=0   ,       _lowercase=False   ,       _lowercase=0   ,       _lowercase=1   ,       _lowercase=False   ,       _lowercase=True   ,       **_lowercase   ,       ):

												"""simple docstring"""



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

												_lowerCAmelCase  						=			eos_token_id
												_lowerCAmelCase  						=			decoder_start_token_id

												# for backwards compatibility
												_lowerCAmelCase  						=			dense_act_fn

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




						@classmethod
						def  _lowercase     ( cls   ,       _lowercase   ,       **_lowercase				):

												"""simple docstring"""



												cls._set_token_in_kwargs(UpperCamelCase_				)

												_lowerCAmelCase						,   _lowerCAmelCase  						=			cls.get_config_dict(UpperCamelCase_   ,       **UpperCamelCase_				)

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






class   UpperCAmelCase_			(		UpperCamelCase__			):






						'''simple docstring'''






						_lowercase		:				Optional[int]									=       '''pix2struct_vision_model'''




						def __init__( self   ,       _lowercase=768   ,       _lowercase=768   ,       _lowercase=2_048   ,       _lowercase=64   ,       _lowercase=12   ,       _lowercase=12   ,       _lowercase="gelu_new"   ,       _lowercase=1e-6   ,       _lowercase=0.0   ,       _lowercase=0.0   ,       _lowercase=1e-10   ,       _lowercase=1.0   ,       _lowercase=4_096   ,       _lowercase=32   ,       _lowercase=128   ,       **_lowercase   ,       ):

												"""simple docstring"""



												super().__init__(**UpperCamelCase_				)

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




						@classmethod
						def  _lowercase     ( cls   ,       _lowercase   ,       **_lowercase				):

												"""simple docstring"""



												cls._set_token_in_kwargs(UpperCamelCase_				)

												_lowerCAmelCase						,   _lowerCAmelCase  						=			cls.get_config_dict(UpperCamelCase_   ,       **UpperCamelCase_				)

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






class   UpperCAmelCase_			(		UpperCamelCase__			):






						'''simple docstring'''






						_lowercase		:				List[str]									=       '''pix2struct'''
						_lowercase		:				str									=       True




						def __init__( self   ,       _lowercase=None   ,       _lowercase=None   ,       _lowercase=1.0   ,       _lowercase=0.02   ,       _lowercase=False   ,       _lowercase=False   ,       _lowercase=True   ,       **_lowercase   ,       ):

												"""simple docstring"""



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

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

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

												_lowerCAmelCase  						=			PixaStructTextConfig(**UpperCamelCase_				)
												_lowerCAmelCase  						=			PixaStructVisionConfig(**UpperCamelCase_				)

												_lowerCAmelCase  						=			self.text_config.decoder_start_token_id
												_lowerCAmelCase  						=			self.text_config.pad_token_id
												_lowerCAmelCase  						=			self.text_config.eos_token_id

												_lowerCAmelCase  						=			initializer_factor
												_lowerCAmelCase  						=			initializer_range

												_lowerCAmelCase  						=			self.initializer_range
												_lowerCAmelCase  						=			self.initializer_range

												_lowerCAmelCase  						=			is_vqa




						@classmethod
						def  _lowercase     ( cls   ,       _lowercase   ,       _lowercase   ,       **_lowercase				):

												"""simple docstring"""



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




						def  _lowercase     ( self				):

												"""simple docstring"""



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


'''simple docstring'''



import heapq as hq
import math
from collections.abc import Iterator




class   UpperCAmelCase_					:






						'''simple docstring'''






						def __init__( self   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			str(id_				)
												_lowerCAmelCase  						=			None
												_lowerCAmelCase  						=			None
												_lowerCAmelCase  						=			[]
												_lowerCAmelCase  						=			{}  # {vertex:distance}




						def __lt__( self   ,       _lowercase				):

												"""simple docstring"""



												return self.key < other.key




						def __repr__( self				):

												"""simple docstring"""



												return self.id




						def  _lowercase     ( self   ,       _lowercase				):

												"""simple docstring"""



												self.neighbors.append(_lowercase				)




						def  _lowercase     ( self   ,       _lowercase   ,       _lowercase				):

												"""simple docstring"""



												_lowerCAmelCase  						=			weight






def A				(__lowerCamelCase				:List[Any]			,     __lowerCamelCase				:Union[str, Any]			,     __lowerCamelCase				:Dict			,     __lowerCamelCase				:Optional[int]		):
						# add the neighbors:
						graph[a - 1].add_neighbor(graph[b - 1]		)
						graph[b - 1].add_neighbor(graph[a - 1]		)
						# add the edges:
						graph[a - 1].add_edge(graph[b - 1]			,     __lowerCamelCase		)
						graph[b - 1].add_edge(graph[a - 1]			,     __lowerCamelCase		)


def A				(__lowerCamelCase				:list			,     __lowerCamelCase				:Vertex		):
						_lowerCAmelCase  						=			[]
						for u in graph:
												_lowerCAmelCase  						=			math.inf
												_lowerCAmelCase  						=			None
						_lowerCAmelCase  						=			0
						_lowerCAmelCase  						=			graph[:]
						while q:
												_lowerCAmelCase  						=			min(__lowerCamelCase		)
												q.remove(__lowerCamelCase		)
												for v in u.neighbors:
																		if (v in q) and (u.edges[v.id] < v.key):
																								_lowerCAmelCase  						=			u
																								_lowerCAmelCase  						=			u.edges[v.id]
						for i in range(1			,     len(__lowerCamelCase		)		):
												a.append((int(graph[i].id		) + 1, int(graph[i].pi.id		) + 1)		)
						return a


def A				(__lowerCamelCase				:list			,     __lowerCamelCase				:Vertex		):
						for u in graph:
												_lowerCAmelCase  						=			math.inf
												_lowerCAmelCase  						=			None
						_lowerCAmelCase  						=			0

						_lowerCAmelCase  						=			list(__lowerCamelCase		)
						hq.heapify(__lowerCamelCase		)

						while h:
												_lowerCAmelCase  						=			hq.heappop(__lowerCamelCase		)
												for v in u.neighbors:
																		if (v in h) and (u.edges[v.id] < v.key):
																								_lowerCAmelCase  						=			u
																								_lowerCAmelCase  						=			u.edges[v.id]
																								hq.heapify(__lowerCamelCase		)

						for i in range(1			,     len(__lowerCamelCase		)		):
												yield (int(graph[i].id		) + 1, int(graph[i].pi.id		) + 1)


def A				():
						pass


if __name__ == "__main__":
						import doctest

						doctest.testmod()
