



import copy
import os
from typing import Union

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


lowerCAmelCase__					  =  logging.get_logger(__name__)

lowerCAmelCase__					  =  {
    '''BridgeTower/bridgetower-base''': '''https://huggingface.co/BridgeTower/bridgetower-base/blob/main/config.json''',
    '''BridgeTower/bridgetower-base-itm-mlm''': (
        '''https://huggingface.co/BridgeTower/bridgetower-base-itm-mlm/blob/main/config.json'''
    ),
}

class 				snake_case__(_UpperCamelCase      ):

					"""simple docstring"""






					lowercase_								=		"""bridgetower_vision_model"""







					def __init__(							self :     str				,       SCREAMING_SNAKE_CASE :     Dict=768				,       SCREAMING_SNAKE_CASE :     Union[str, Any]=12				,       SCREAMING_SNAKE_CASE :     Dict=3				,       SCREAMING_SNAKE_CASE :     Dict=16				,       SCREAMING_SNAKE_CASE :     List[Any]=288				,       SCREAMING_SNAKE_CASE :     List[Any]=1				,       SCREAMING_SNAKE_CASE :     List[str]=1E-0_5				,       SCREAMING_SNAKE_CASE :     str=False				,       SCREAMING_SNAKE_CASE :     Any=True				,       SCREAMING_SNAKE_CASE :     Tuple=False				,       **SCREAMING_SNAKE_CASE :     List[str]				,       ):
									super().__init__(**SCREAMING_SNAKE_CASE					)
									lowercase__					:   Union[str, Any]													=					hidden_size
									lowercase__					:   str													=					num_hidden_layers
									lowercase__					:   str													=					num_channels
									lowercase__					:   Optional[int]													=					patch_size
									lowercase__					:   Dict													=					image_size
									lowercase__					:   List[Any]													=					initializer_factor
									lowercase__					:   int													=					layer_norm_eps
									lowercase__					:   List[str]													=					stop_gradient
									lowercase__					:   Optional[int]													=					share_layernorm
									lowercase__					:   Optional[int]													=					remove_last_layer







					@classmethod
					def 			snake_case					(							cls :     Tuple				,       SCREAMING_SNAKE_CASE :     Union[str, os.PathLike]				,       **SCREAMING_SNAKE_CASE :     str					):
									lowercase__							,							lowercase__					:   Optional[Any]													=					cls.get_config_dict(SCREAMING_SNAKE_CASE				,       **SCREAMING_SNAKE_CASE					)

									if config_dict.get("model_type"					) == "bridgetower":
													lowercase__					:   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(SCREAMING_SNAKE_CASE				,       **SCREAMING_SNAKE_CASE					)






class 				snake_case__(_UpperCamelCase      ):

					"""simple docstring"""






					lowercase_								=		"""bridgetower_text_model"""







					def __init__(							self :     Tuple				,       SCREAMING_SNAKE_CASE :     Union[str, Any]=50_265				,       SCREAMING_SNAKE_CASE :     Optional[int]=768				,       SCREAMING_SNAKE_CASE :     List[str]=12				,       SCREAMING_SNAKE_CASE :     Union[str, Any]=12				,       SCREAMING_SNAKE_CASE :     List[Any]=1				,       SCREAMING_SNAKE_CASE :     Any=3_072				,       SCREAMING_SNAKE_CASE :     Union[str, Any]="gelu"				,       SCREAMING_SNAKE_CASE :     Optional[int]=0.1				,       SCREAMING_SNAKE_CASE :     List[str]=0.1				,       SCREAMING_SNAKE_CASE :     Tuple=514				,       SCREAMING_SNAKE_CASE :     List[str]=1				,       SCREAMING_SNAKE_CASE :     Dict=1E-0_5				,       SCREAMING_SNAKE_CASE :     List[str]=1				,       SCREAMING_SNAKE_CASE :     str=0				,       SCREAMING_SNAKE_CASE :     List[Any]=2				,       SCREAMING_SNAKE_CASE :     Optional[Any]="absolute"				,       SCREAMING_SNAKE_CASE :     int=True				,       **SCREAMING_SNAKE_CASE :     int				,       ):
									super().__init__(**SCREAMING_SNAKE_CASE					)

									lowercase__					:   Any													=					vocab_size
									lowercase__					:   Optional[Any]													=					hidden_size
									lowercase__					:   Optional[int]													=					num_hidden_layers
									lowercase__					:   Optional[int]													=					num_attention_heads
									lowercase__					:   int													=					hidden_act
									lowercase__					:   Optional[Any]													=					initializer_factor
									lowercase__					:   Dict													=					intermediate_size
									lowercase__					:   Tuple													=					hidden_dropout_prob
									lowercase__					:   List[Any]													=					attention_probs_dropout_prob
									lowercase__					:   Optional[int]													=					max_position_embeddings
									lowercase__					:   str													=					type_vocab_size
									lowercase__					:   str													=					layer_norm_eps
									lowercase__					:   Dict													=					position_embedding_type
									lowercase__					:   Optional[Any]													=					use_cache
									lowercase__					:   List[str]													=					pad_token_id
									lowercase__					:   Optional[Any]													=					bos_token_id
									lowercase__					:   Optional[Any]													=					eos_token_id







					@classmethod
					def 			snake_case					(							cls :     Optional[int]				,       SCREAMING_SNAKE_CASE :     Union[str, os.PathLike]				,       **SCREAMING_SNAKE_CASE :     str					):
									lowercase__							,							lowercase__					:   Optional[Any]													=					cls.get_config_dict(SCREAMING_SNAKE_CASE				,       **SCREAMING_SNAKE_CASE					)

									if config_dict.get("model_type"					) == "bridgetower":
													lowercase__					:   List[Any]													=					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(SCREAMING_SNAKE_CASE				,       **SCREAMING_SNAKE_CASE					)






class 				snake_case__(_UpperCamelCase      ):

					"""simple docstring"""






					lowercase_								=		"""bridgetower"""







					def __init__(							self :     Tuple				,       SCREAMING_SNAKE_CASE :     Optional[int]=True				,       SCREAMING_SNAKE_CASE :     Dict="gelu"				,       SCREAMING_SNAKE_CASE :     Any=768				,       SCREAMING_SNAKE_CASE :     Dict=1				,       SCREAMING_SNAKE_CASE :     Union[str, Any]=1E-0_5				,       SCREAMING_SNAKE_CASE :     Tuple=False				,       SCREAMING_SNAKE_CASE :     List[Any]="add"				,       SCREAMING_SNAKE_CASE :     Any=12				,       SCREAMING_SNAKE_CASE :     Any=6				,       SCREAMING_SNAKE_CASE :     Any=False				,       SCREAMING_SNAKE_CASE :     List[Any]=False				,       SCREAMING_SNAKE_CASE :     str=None				,       SCREAMING_SNAKE_CASE :     Dict=None				,       **SCREAMING_SNAKE_CASE :     List[Any]				,       ):
									# TODO: remove this once the Hub files are updated.
									lowercase__					:   int													=					kwargs.pop("text_config_dict"				,       SCREAMING_SNAKE_CASE					)
									lowercase__					:   int													=					kwargs.pop("vision_config_dict"				,       SCREAMING_SNAKE_CASE					)

									super().__init__(**SCREAMING_SNAKE_CASE					)
									lowercase__					:   Dict													=					share_cross_modal_transformer_layers
									lowercase__					:   int													=					hidden_act
									lowercase__					:   int													=					hidden_size
									lowercase__					:   Optional[int]													=					initializer_factor
									lowercase__					:   Optional[int]													=					layer_norm_eps
									lowercase__					:   str													=					share_link_tower_layers
									lowercase__					:   Optional[int]													=					link_tower_type
									lowercase__					:   List[Any]													=					num_attention_heads
									lowercase__					:   Dict													=					num_hidden_layers
									lowercase__					:   Dict													=					tie_word_embeddings
									lowercase__					:   Optional[Any]													=					init_layernorm_from_vision_encoder

									if text_config is None:
													lowercase__					:   Optional[Any]													=					{}
													logger.info("`text_config` is `None`. Initializing the `BridgeTowerTextConfig` with default values."					)

									if vision_config is None:
													lowercase__					:   List[Any]													=					{}
													logger.info("`vision_config` is `None`. Initializing the `BridgeTowerVisionConfig` with default values."					)

									lowercase__					:   Any													=					BridgeTowerTextConfig(**SCREAMING_SNAKE_CASE					)
									lowercase__					:   Dict													=					BridgeTowerVisionConfig(**SCREAMING_SNAKE_CASE					)







					@classmethod
					def 			snake_case					(							cls :     Optional[int]				,       SCREAMING_SNAKE_CASE :     BridgeTowerTextConfig				,       SCREAMING_SNAKE_CASE :     BridgeTowerVisionConfig				,       **SCREAMING_SNAKE_CASE :     List[str]					):
									return cls(text_config=text_config.to_dict()				,       vision_config=vision_config.to_dict()				,       **SCREAMING_SNAKE_CASE					)







					def 			snake_case					(							self :     Optional[int]					):
									lowercase__					:   List[str]													=					copy.deepcopy(self.__dict__					)
									lowercase__					:   Dict													=					self.text_config.to_dict()
									lowercase__					:   Tuple													=					self.vision_config.to_dict()
									lowercase__					:   Optional[Any]													=					self.__class__.model_type
									return output









from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

lowerCAmelCase__					  =  TypeVar('''KEY''')
lowerCAmelCase__					  =  TypeVar('''VAL''')

@dataclass(frozen=_UpperCamelCase    ,      slots=_UpperCamelCase      )
class 				snake_case__(Generic[KEY, VAL]      ):

					"""simple docstring"""






					lowercase_								=		42
					lowercase_								=		42






class 				snake_case__(_Item      ):

					"""simple docstring"""






					def __init__(							self :     List[str]					):
									super().__init__(SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE					)







					def __bool__(							self :     Tuple					):
									return False






lowerCAmelCase__					  =  _DeletedItem()

class 				snake_case__(MutableMapping[KEY, VAL]      ):

					"""simple docstring"""






					def __init__(							self :     Any				,       SCREAMING_SNAKE_CASE :     int = 8				,       SCREAMING_SNAKE_CASE :     float = 0.75					):
									lowercase__					:   Any													=					initial_block_size
									lowercase__					:   list[_Item | None]													=					[None] * initial_block_size
									assert 0.0 < capacity_factor < 1.0
									lowercase__					:   Dict													=					capacity_factor
									lowercase__					:   Optional[int]													=					0







					def 			snake_case					(							self :     Optional[Any]				,       SCREAMING_SNAKE_CASE :     KEY					):
									return hash(SCREAMING_SNAKE_CASE					) % len(self._buckets					)







					def 			snake_case					(							self :     Optional[int]				,       SCREAMING_SNAKE_CASE :     int					):
									return (ind + 1) % len(self._buckets					)







					def 			snake_case					(							self :     Tuple				,       SCREAMING_SNAKE_CASE :     int				,       SCREAMING_SNAKE_CASE :     KEY				,       SCREAMING_SNAKE_CASE :     VAL					):
									lowercase__					:   Tuple													=					self._buckets[ind]
									if not stored:
													lowercase__					:   int													=					_Item(SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE					)
													self._len += 1
													return True
									elif stored.key == key:
													lowercase__					:   str													=					_Item(SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE					)
													return True
									else:
													return False







					def 			snake_case					(							self :     str					):
									lowercase__					:   str													=					len(self._buckets					) * self._capacity_factor
									return len(self					) >= int(SCREAMING_SNAKE_CASE					)







					def 			snake_case					(							self :     List[str]					):
									if len(self._buckets					) <= self._initial_block_size:
													return False
									lowercase__					:   Optional[Any]													=					len(self._buckets					) * self._capacity_factor / 2
									return len(self					) < limit







					def 			snake_case					(							self :     List[Any]				,       SCREAMING_SNAKE_CASE :     int					):
									lowercase__					:   Tuple													=					self._buckets
									lowercase__					:   Optional[int]													=					[None] * new_size
									lowercase__					:   int													=					0
									for item in old_buckets:
													if item:
																	self._add_item(item.key				,       item.val					)







					def 			snake_case					(							self :     int					):
									self._resize(len(self._buckets					) * 2					)







					def 			snake_case					(							self :     Optional[Any]					):
									self._resize(len(self._buckets					) // 2					)







					def 			snake_case					(							self :     List[Any]				,       SCREAMING_SNAKE_CASE :     KEY					):
									lowercase__					:   Tuple													=					self._get_bucket_index(SCREAMING_SNAKE_CASE					)
									for _ in range(len(self._buckets					)					):
													yield ind
													lowercase__					:   Union[str, Any]													=					self._get_next_ind(SCREAMING_SNAKE_CASE					)







					def 			snake_case					(							self :     str				,       SCREAMING_SNAKE_CASE :     KEY				,       SCREAMING_SNAKE_CASE :     VAL					):
									for ind in self._iterate_buckets(SCREAMING_SNAKE_CASE					):
													if self._try_set(SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE					):
																	break







					def __setitem__(							self :     List[str]				,       SCREAMING_SNAKE_CASE :     KEY				,       SCREAMING_SNAKE_CASE :     VAL					):
									if self._is_full():
													self._size_up()

									self._add_item(SCREAMING_SNAKE_CASE				,       SCREAMING_SNAKE_CASE					)







					def __delitem__(							self :     int				,       SCREAMING_SNAKE_CASE :     KEY					):
									for ind in self._iterate_buckets(SCREAMING_SNAKE_CASE					):
													lowercase__					:   Union[str, Any]													=					self._buckets[ind]
													if item is None:
																	raise KeyError(SCREAMING_SNAKE_CASE					)
													if item is _deleted:
																	continue
													if item.key == key:
																	lowercase__					:   Optional[int]													=					_deleted
																	self._len -= 1
																	break
									if self._is_sparse():
													self._size_down()







					def __getitem__(							self :     Tuple				,       SCREAMING_SNAKE_CASE :     KEY					):
									for ind in self._iterate_buckets(SCREAMING_SNAKE_CASE					):
													lowercase__					:   Any													=					self._buckets[ind]
													if item is None:
																	break
													if item is _deleted:
																	continue
													if item.key == key:
																	return item.val
									raise KeyError(SCREAMING_SNAKE_CASE					)







					def __len__(							self :     Optional[Any]					):
									return self._len







					def __iter__(							self :     List[str]					):
									yield from (item.key for item in self._buckets if item)







					def __repr__(							self :     str					):
									lowercase__					:   int													=					" ,".join(
									    f"""{item.key}: {item.val}""" for item in self._buckets if item					)
									return f"""HashMap({val_string})"""




