




import copy
import os
from typing import Union

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


__lowercase       :int       =  logging.get_logger(__name__)

__lowercase       :str       =  {
    "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    _a     (				__lowerCamelCase							):






							"""simple docstring"""

							snake_case_							 =						'''bridgetower_vision_model'''

							def __init__(      self				:     Any							,	a				:     Any=7_68							,	a				:     Dict=12							,	a				:     List[Any]=3							,	a				:     int=16							,	a				:     Tuple=2_88							,	a				:     Any=1							,	a				:     int=1E-05							,	a				:     Optional[int]=False							,	a				:     Any=True							,	a				:     List[str]=False							,	**a				:     Any							,	)	->List[str]:
													super().__init__(**a_    )
													SCREAMING_SNAKE_CASE__     :				Optional[int]   =					hidden_size
													SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					num_hidden_layers
													SCREAMING_SNAKE_CASE__     :				List[str]   =					num_channels
													SCREAMING_SNAKE_CASE__     :				Tuple   =					patch_size
													SCREAMING_SNAKE_CASE__     :				List[str]   =					image_size
													SCREAMING_SNAKE_CASE__     :				Any   =					initializer_factor
													SCREAMING_SNAKE_CASE__     :				Any   =					layer_norm_eps
													SCREAMING_SNAKE_CASE__     :				Dict   =					stop_gradient
													SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					share_layernorm
													SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					remove_last_layer






							@classmethod
							def      A_  (      cls				:     int							,	a				:     List[Any]							,	**a				:     Union[str, Any]    )	->str:
													SCREAMING_SNAKE_CASE__     :				str   =					cls.get_config_dict(a_							,	**a_    )

													if config_dict.get("model_type"    ) == "bridgetower":
																			SCREAMING_SNAKE_CASE__     :				Union[str, 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(a_							,	**a_    )







class    _a     (				__lowerCamelCase							):






							"""simple docstring"""

							snake_case_							 =						'''bridgetower_text_model'''

							def __init__(      self				:     List[Any]							,	a				:     Union[str, Any]=5_02_65							,	a				:     Any=7_68							,	a				:     Tuple=12							,	a				:     List[Any]=12							,	a				:     Optional[Any]=1							,	a				:     int=30_72							,	a				:     Any="gelu"							,	a				:     List[str]=0.1							,	a				:     Any=0.1							,	a				:     Any=5_14							,	a				:     Union[str, Any]=1							,	a				:     Tuple=1E-05							,	a				:     Optional[Any]=1							,	a				:     str=0							,	a				:     Optional[Any]=2							,	a				:     Optional[Any]="absolute"							,	a				:     List[str]=True							,	**a				:     Optional[int]							,	)	->Any:
													super().__init__(**a_    )

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






							@classmethod
							def      A_  (      cls				:     Tuple							,	a				:     List[str]							,	**a				:     List[str]    )	->Optional[Any]:
													SCREAMING_SNAKE_CASE__     :				int   =					cls.get_config_dict(a_							,	**a_    )

													if config_dict.get("model_type"    ) == "bridgetower":
																			SCREAMING_SNAKE_CASE__     :				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(a_							,	**a_    )







class    _a     (				__lowerCamelCase							):






							"""simple docstring"""

							snake_case_							 =						'''bridgetower'''

							def __init__(      self				:     Any							,	a				:     List[Any]=True							,	a				:     Tuple="gelu"							,	a				:     str=7_68							,	a				:     Dict=1							,	a				:     Dict=1E-05							,	a				:     List[str]=False							,	a				:     Union[str, Any]="add"							,	a				:     List[Any]=12							,	a				:     int=6							,	a				:     Union[str, Any]=False							,	a				:     int=False							,	a				:     Tuple=None							,	a				:     List[str]=None							,	**a				:     str							,	)	->Tuple:
													# TODO: remove this once the Hub files are updated.
													SCREAMING_SNAKE_CASE__     :				Tuple   =					kwargs.pop("text_config_dict"							,	a_    )
													SCREAMING_SNAKE_CASE__     :				Optional[int]   =					kwargs.pop("vision_config_dict"							,	a_    )

													super().__init__(**a_    )
													SCREAMING_SNAKE_CASE__     :				List[Any]   =					share_cross_modal_transformer_layers
													SCREAMING_SNAKE_CASE__     :				List[Any]   =					hidden_act
													SCREAMING_SNAKE_CASE__     :				List[Any]   =					hidden_size
													SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					initializer_factor
													SCREAMING_SNAKE_CASE__     :				Any   =					layer_norm_eps
													SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					share_link_tower_layers
													SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					link_tower_type
													SCREAMING_SNAKE_CASE__     :				Any   =					num_attention_heads
													SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					num_hidden_layers
													SCREAMING_SNAKE_CASE__     :				int   =					tie_word_embeddings
													SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					init_layernorm_from_vision_encoder

													if text_config is None:
																			SCREAMING_SNAKE_CASE__     :				int   =					{}
																			logger.info("`text_config` is `None`. Initializing the `BridgeTowerTextConfig` with default values."    )

													if vision_config is None:
																			SCREAMING_SNAKE_CASE__     :				Tuple   =					{}
																			logger.info("`vision_config` is `None`. Initializing the `BridgeTowerVisionConfig` with default values."    )

													SCREAMING_SNAKE_CASE__     :				Tuple   =					BridgeTowerTextConfig(**a_    )
													SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					BridgeTowerVisionConfig(**a_    )

							@classmethod
							def      A_  (      cls				:     List[Any]							,	a				:     Dict							,	a				:     List[Any]							,	**a				:     Optional[Any]    )	->Optional[int]:
													return cls(text_config=text_config.to_dict()							,	vision_config=vision_config.to_dict()							,	**a_    )






							def      A_  (      self				:     str    )	->List[str]:
													SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					copy.deepcopy(self.__dict__    )
													SCREAMING_SNAKE_CASE__     :				List[str]   =					self.text_config.to_dict()
													SCREAMING_SNAKE_CASE__     :				Dict   =					self.vision_config.to_dict()
													SCREAMING_SNAKE_CASE__     :				str   =					self.__class__.model_type
													return output






def       UpperCAmelCase							(     _lowerCamelCase      :  int			,   _lowerCamelCase      :  bool = False     ):





						'''simple docstring'''


						if n == 2:
												return True
						if not n % 2 or n < 2:
												return False
						if n > 5 and n % 10 not in (1, 3, 7, 9):  # can quickly check last digit
												return False
						if n > 3_317_044_064_679_887_385_961_981 and not allow_probable:
												raise ValueError(
												    "Warning: upper bound of deterministic test is exceeded. "
												    "Pass allow_probable=True to allow probabilistic test. "
												    "A return value of True indicates a probable prime."     )
						# array bounds provided by analysis
						SCREAMING_SNAKE_CASE__     :				List[str]   =					[
						    2_047,
						    1_373_653,
						    25_326_001,
						    3_215_031_751,
						    2_152_302_898_747,
						    3_474_749_660_383,
						    341_550_071_728_321,
						    1,
						    3_825_123_056_546_413_051,
						    1,
						    1,
						    318_665_857_834_031_151_167_461,
						    3_317_044_064_679_887_385_961_981,
						]

						SCREAMING_SNAKE_CASE__     :				Union[str, Any]   =					[2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41]
						for idx, _p in enumerate(_lowerCamelCase			,   1     ):
												if n < _p:
																		# then we have our last prime to check
																		SCREAMING_SNAKE_CASE__     :				Dict   =					primes[:idx]
																		break
						SCREAMING_SNAKE_CASE__,							SCREAMING_SNAKE_CASE__     :				Dict   =					n - 1, 0
						# break up n -1 into a power of 2 (s) and
						# remaining odd component
						# essentially, solve for d * 2 ** s == n - 1
						while d % 2 == 0:
												d //= 2
												s += 1
						for prime in plist:
												SCREAMING_SNAKE_CASE__     :				str   =					False
												for r in range(_lowerCamelCase     ):
																		SCREAMING_SNAKE_CASE__     :				Optional[Any]   =					pow(_lowerCamelCase			,   d * 2**r			,   _lowerCamelCase     )
																		# see article for analysis explanation for m
																		if (r == 0 and m == 1) or ((m + 1) % n == 0):
																								SCREAMING_SNAKE_CASE__     :				str   =					True
																								# this loop will not determine compositeness
																								break
												if pr:
																		continue
												# if pr is False, then the above loop never evaluated to true,
												# and the n MUST be composite
												return False
						return True







def       UpperCAmelCase							(     ):





						'''simple docstring'''


						assert not miller_rabin(561     )
						assert miller_rabin(563     )
						# 2047

						assert not miller_rabin(838_201     )
						assert miller_rabin(838_207     )
						# 1_373_653

						assert not miller_rabin(17_316_001     )
						assert miller_rabin(17_316_017     )
						# 25_326_001

						assert not miller_rabin(3_078_386_641     )
						assert miller_rabin(3_078_386_653     )
						# 3_215_031_751

						assert not miller_rabin(1_713_045_574_801     )
						assert miller_rabin(1_713_045_574_819     )
						# 2_152_302_898_747

						assert not miller_rabin(2_779_799_728_307     )
						assert miller_rabin(2_779_799_728_327     )
						# 3_474_749_660_383

						assert not miller_rabin(113_850_023_909_441     )
						assert miller_rabin(113_850_023_909_527     )
						# 341_550_071_728_321

						assert not miller_rabin(1_275_041_018_848_804_351     )
						assert miller_rabin(1_275_041_018_848_804_391     )
						# 3_825_123_056_546_413_051

						assert not miller_rabin(79_666_464_458_507_787_791_867     )
						assert miller_rabin(79_666_464_458_507_787_791_951     )
						# 318_665_857_834_031_151_167_461

						assert not miller_rabin(552_840_677_446_647_897_660_333     )
						assert miller_rabin(552_840_677_446_647_897_660_359     )
						# 3_317_044_064_679_887_385_961_981
						# upper limit for probabilistic test


if __name__ == "__main__":
				test_miller_rabin()