


import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...models.auto.modeling_auto import MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
from ...utils import logging
from ..auto import CONFIG_MAPPING


a       	=  logging.get_logger(__name__)

a       	=  {
    'salesforce/blip2-opt-2.7b': 'https://huggingface.co/salesforce/blip2-opt-2.7b/resolve/main/config.json',
}







class 							UpperCamelCase__ (						__UpperCamelCase ):
					__SCREAMING_SNAKE_CASE							:	str            = 'blip_2_vision_model'

					def __init__(  self							: Union[str, Any]				,       UpperCamelCase__							: List[Any]=1_408				,       UpperCamelCase__							: List[Any]=6_144				,       UpperCamelCase__							: Any=39				,       UpperCamelCase__							: Any=16				,       UpperCamelCase__							: List[str]=224				,       UpperCamelCase__							: Union[str, Any]=14				,       UpperCamelCase__							: Tuple="gelu"				,       UpperCamelCase__							: Dict=0.00_001				,       UpperCamelCase__							: Tuple=0.0				,       UpperCamelCase__							: List[str]=1e-10				,       UpperCamelCase__							: Optional[int]=True				,       **UpperCamelCase__							: Tuple				,       ):






										'''simple docstring'''






										super().__init__(**__UpperCAmelCase							)

										lowercase_					=      hidden_size
										lowercase_					=      intermediate_size
										lowercase_					=      num_hidden_layers
										lowercase_					=      num_attention_heads
										lowercase_					=      patch_size
										lowercase_					=      image_size
										lowercase_					=      initializer_range
										lowercase_					=      attention_dropout
										lowercase_					=      layer_norm_eps
										lowercase_					=      hidden_act
										lowercase_					=      qkv_bias







					@classmethod
					def 	UpperCAmelCase__							(  cls							: Dict				,       UpperCamelCase__							: Union[str, os.PathLike]				,       **UpperCamelCase__							: int							):






										'''simple docstring'''






										cls._set_token_in_kwargs(__UpperCAmelCase							)

										lowercase_					=      cls.get_config_dict(__UpperCAmelCase				,       **__UpperCAmelCase							)

										# get the vision config dict if we are loading from Blip2Config
										if config_dict.get("""model_type"""							) == "blip-2":
															lowercase_					=      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 ):
					__SCREAMING_SNAKE_CASE							:	int            = 'blip_2_qformer'

					def __init__(  self							: Any				,       UpperCamelCase__							: Optional[Any]=30_522				,       UpperCamelCase__							: Tuple=768				,       UpperCamelCase__							: List[str]=12				,       UpperCamelCase__							: int=12				,       UpperCamelCase__							: str=3_072				,       UpperCamelCase__							: Optional[Any]="gelu"				,       UpperCamelCase__							: str=0.1				,       UpperCamelCase__							: Tuple=0.1				,       UpperCamelCase__							: Any=512				,       UpperCamelCase__							: Tuple=0.02				,       UpperCamelCase__							: Tuple=1e-12				,       UpperCamelCase__							: List[Any]=0				,       UpperCamelCase__							: Optional[Any]="absolute"				,       UpperCamelCase__							: List[str]=2				,       UpperCamelCase__							: Optional[Any]=1_408				,       **UpperCamelCase__							: Any				,       ):






										'''simple docstring'''






										super().__init__(pad_token_id=__UpperCAmelCase				,       **__UpperCAmelCase							)

										lowercase_					=      vocab_size
										lowercase_					=      hidden_size
										lowercase_					=      num_hidden_layers
										lowercase_					=      num_attention_heads
										lowercase_					=      hidden_act
										lowercase_					=      intermediate_size
										lowercase_					=      hidden_dropout_prob
										lowercase_					=      attention_probs_dropout_prob
										lowercase_					=      max_position_embeddings
										lowercase_					=      initializer_range
										lowercase_					=      layer_norm_eps
										lowercase_					=      position_embedding_type
										lowercase_					=      cross_attention_frequency
										lowercase_					=      encoder_hidden_size







					@classmethod
					def 	UpperCAmelCase__							(  cls							: Optional[Any]				,       UpperCamelCase__							: Union[str, os.PathLike]				,       **UpperCamelCase__							: Union[str, Any]							):






										'''simple docstring'''






										cls._set_token_in_kwargs(__UpperCAmelCase							)

										lowercase_					=      cls.get_config_dict(__UpperCAmelCase				,       **__UpperCAmelCase							)

										# get the qformer config dict if we are loading from Blip2Config
										if config_dict.get("""model_type"""							) == "blip-2":
															lowercase_					=      config_dict["qformer_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 ):
					__SCREAMING_SNAKE_CASE							:	int            = 'blip-2'
					__SCREAMING_SNAKE_CASE							:	List[Any]            = True

					def __init__(  self							: Union[str, Any]				,       UpperCamelCase__							: Union[str, Any]=None				,       UpperCamelCase__							: List[str]=None				,       UpperCamelCase__							: List[str]=None				,       UpperCamelCase__							: Dict=32				,       **UpperCamelCase__							: str							):






										'''simple docstring'''






										super().__init__(**__UpperCAmelCase							)

										if vision_config is None:
															lowercase_					=      {}
															logger.info("""vision_config is None. initializing the Blip2VisionConfig with default values."""							)

										if qformer_config is None:
															lowercase_					=      {}
															logger.info("""qformer_config is None. Initializing the Blip2QFormerConfig with default values."""							)

										if text_config is None:
															lowercase_					=      {}
															logger.info("""text_config is None. Initializing the text config with default values (`OPTConfig`)."""							)

										lowercase_					=      BlipaVisionConfig(**__UpperCAmelCase							)
										lowercase_					=      BlipaQFormerConfig(**__UpperCAmelCase							)
										lowercase_					=      text_config["model_type"] if "model_type" in text_config else "opt"
										lowercase_					=      CONFIG_MAPPING[text_model_type](**__UpperCAmelCase							)

										lowercase_					=      self.text_config.tie_word_embeddings
										lowercase_					=      self.text_config.is_encoder_decoder

										lowercase_					=      num_query_tokens
										lowercase_					=      self.vision_config.hidden_size
										lowercase_					=      self.text_config.model_type in MODEL_FOR_CAUSAL_LM_MAPPING_NAMES
										lowercase_					=      1.0
										lowercase_					=      0.02

					@classmethod
					def 	UpperCAmelCase__							(  cls							: List[str]				,       UpperCamelCase__							: BlipaVisionConfig				,       UpperCamelCase__							: BlipaQFormerConfig				,       UpperCamelCase__							: PretrainedConfig				,       **UpperCamelCase__							: List[str]				,       ):






										'''simple docstring'''






										return cls(
										    vision_config=vision_config.to_dict()				,       qformer_config=qformer_config.to_dict()				,       text_config=text_config.to_dict()				,       **__UpperCAmelCase				,       )







					def 	UpperCAmelCase__							(  self							: Optional[Any]							):






										'''simple docstring'''






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










from __future__ import annotations







def     a_   (__A      )				->						int:



					"""simple docstring"""
					__a					:						List[Any]      =					len(__A      ) // 2

					# choose the middle 3 elements
					__a					:						Any      =					lst[m - 1 : m + 2]

					# if middle element is peak
					if three[1] > three[0] and three[1] > three[2]:
										return three[1]

					# if increasing, recurse on right
					elif three[0] < three[2]:
										if len(lst[:m]      ) == 2:
															m -= 1
										return peak(lst[m:]      )

					# decreasing
					else:
										if len(lst[:m]      ) == 2:
															m += 1
										return peak(lst[:m]      )


if __name__ == "__main__":
			import doctest

			doctest.testmod()





