



import copy
import os
from typing import Union

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


a_   :Any        =      logging.get_logger(__name__)

a_   :List[Any]        =      {
    "Salesforce/blip-vqa-base": "https://huggingface.co/Salesforce/blip-vqa-base/resolve/main/config.json",
    "Salesforce/blip-vqa-capfit-large": (
        "https://huggingface.co/Salesforce/blip-vqa-base-capfit/resolve/main/config.json"
    ),
    "Salesforce/blip-image-captioning-base": (
        "https://huggingface.co/Salesforce/blip-image-captioning-base/resolve/main/config.json"
    ),
    "Salesforce/blip-image-captioning-large": (
        "https://huggingface.co/Salesforce/blip-image-captioning-large/resolve/main/config.json"
    ),
    "Salesforce/blip-itm-base-coco": "https://huggingface.co/Salesforce/blip-itm-base-coco/resolve/main/config.json",
    "Salesforce/blip-itm-large-coco": "https://huggingface.co/Salesforce/blip-itm-large-coco/resolve/main/config.json",
    "Salesforce/blip-itm-base-flikr": "https://huggingface.co/Salesforce/blip-itm-base-flikr/resolve/main/config.json",
    "Salesforce/blip-itm-large-flikr": (
        "https://huggingface.co/Salesforce/blip-itm-large-flikr/resolve/main/config.json"
    ),
}




class 					snake_case__						(       lowerCAmelCase_     ):






     """simple docstring"""


     _SCREAMING_SNAKE_CASE						=	"""blip_text_model"""






     def __init__(       self  :  Optional[int], _snake_case  :  int=3_0_5_2_4, _snake_case  :  Tuple=7_6_8, _snake_case  :  str=7_6_8, _snake_case  :  Tuple=3_0_7_2, _snake_case  :  str=7_6_8, _snake_case  :  Any=1_2, _snake_case  :  Optional[Any]=8, _snake_case  :  Dict=5_1_2, _snake_case  :  Union[str, Any]="gelu", _snake_case  :  int=1e-12, _snake_case  :  Any=0.0, _snake_case  :  Dict=0.0, _snake_case  :  List[str]=0.0_2, _snake_case  :  Optional[Any]=3_0_5_2_2, _snake_case  :  Dict=2, _snake_case  :  Dict=0, _snake_case  :  int=1_0_2, _snake_case  :  str=True, _snake_case  :  int=True, **_snake_case  :  Any, )   ->Union[str, Any]:
            super().__init__(
                pad_token_id=_snake_case, bos_token_id=_snake_case, eos_token_id=_snake_case, sep_token_id=_snake_case, **_snake_case, )

            snake_case__							:	List[str]   	=	vocab_size
            snake_case__							:	Tuple   	=	hidden_size
            snake_case__							:	Optional[int]   	=	encoder_hidden_size
            snake_case__							:	List[Any]   	=	intermediate_size
            snake_case__							:	Optional[Any]   	=	projection_dim
            snake_case__							:	Tuple   	=	hidden_dropout_prob
            snake_case__							:	Tuple   	=	num_hidden_layers
            snake_case__							:	int   	=	num_attention_heads
            snake_case__							:	Optional[Any]   	=	max_position_embeddings
            snake_case__							:	Optional[int]   	=	layer_norm_eps
            snake_case__							:	List[Any]   	=	hidden_act
            snake_case__							:	Tuple   	=	initializer_range
            snake_case__							:	int   	=	attention_probs_dropout_prob
            snake_case__							:	List[str]   	=	is_decoder
            snake_case__							:	Optional[Any]   	=	use_cache






     @classmethod
     def    lowercase_   (       cls  :  str, _snake_case  :  str, **_snake_case  :  int					)   ->Any:
            cls._set_token_in_kwargs(_snake_case					)

            snake_case__							:	int   	=	cls.get_config_dict(_snake_case, **_snake_case					)

            # get the text config dict if we are loading from BlipConfig
            if config_dict.get('model_type'					) == "blip":
                   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(_snake_case, **_snake_case					)




class 					snake_case__						(       lowerCAmelCase_     ):






     """simple docstring"""


     _SCREAMING_SNAKE_CASE						=	"""blip_vision_model"""






     def __init__(       self  :  str, _snake_case  :  Union[str, Any]=7_6_8, _snake_case  :  List[str]=3_0_7_2, _snake_case  :  Union[str, Any]=5_1_2, _snake_case  :  Union[str, Any]=1_2, _snake_case  :  int=1_2, _snake_case  :  Union[str, Any]=3_8_4, _snake_case  :  Union[str, Any]=1_6, _snake_case  :  Tuple="gelu", _snake_case  :  Optional[Any]=1e-5, _snake_case  :  Tuple=0.0, _snake_case  :  Any=1e-10, **_snake_case  :  Dict, )   ->Union[str, Any]:
            super().__init__(**_snake_case					)

            snake_case__							:	Union[str, Any]   	=	hidden_size
            snake_case__							:	List[str]   	=	intermediate_size
            snake_case__							:	Any   	=	projection_dim
            snake_case__							:	List[Any]   	=	num_hidden_layers
            snake_case__							:	Any   	=	num_attention_heads
            snake_case__							:	List[Any]   	=	patch_size
            snake_case__							:	Union[str, Any]   	=	image_size
            snake_case__							:	Optional[int]   	=	initializer_range
            snake_case__							:	Optional[int]   	=	attention_dropout
            snake_case__							:	List[Any]   	=	layer_norm_eps
            snake_case__							:	Tuple   	=	hidden_act






     @classmethod
     def    lowercase_   (       cls  :  int, _snake_case  :  List[Any], **_snake_case  :  str					)   ->Tuple:
            cls._set_token_in_kwargs(_snake_case					)

            snake_case__							:	List[Any]   	=	cls.get_config_dict(_snake_case, **_snake_case					)

            # get the vision config dict if we are loading from BlipConfig
            if config_dict.get('model_type'					) == "blip":
                   snake_case__							:	List[Any]   	=	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__						(       lowerCAmelCase_     ):






     """simple docstring"""


     _SCREAMING_SNAKE_CASE						=	"""blip"""
     _SCREAMING_SNAKE_CASE						=	True






     def __init__(       self  :  Union[str, Any], _snake_case  :  str=None, _snake_case  :  List[str]=None, _snake_case  :  int=5_1_2, _snake_case  :  Optional[Any]=2.6_5_9_2, _snake_case  :  Union[str, Any]=2_5_6, **_snake_case  :  int, )   ->List[str]:
            super().__init__(**_snake_case					)

            if text_config is None:
                   snake_case__							:	int   	=	{}
                   logger.info('`text_config` is `None`. Initializing the `BlipTextConfig` with default values.'					)

            if vision_config is None:
                   snake_case__							:	Tuple   	=	{}
                   logger.info('`vision_config` is `None`. Initializing the `BlipVisionConfig` with default values.'					)

            snake_case__							:	Dict   	=	BlipTextConfig(**_snake_case					)
            snake_case__							:	Optional[Any]   	=	BlipVisionConfig(**_snake_case					)

            snake_case__							:	int   	=	self.vision_config.hidden_size

            snake_case__							:	List[str]   	=	projection_dim
            snake_case__							:	List[Any]   	=	logit_scale_init_value
            snake_case__							:	str   	=	1.0
            snake_case__							:	List[Any]   	=	0.0_2
            snake_case__							:	List[Any]   	=	image_text_hidden_size






     @classmethod
     def    lowercase_   (       cls  :  Optional[Any], _snake_case  :  Optional[int], _snake_case  :  Optional[Any], **_snake_case  :  str					)   ->List[str]:
            return cls(text_config=text_config.to_dict(), vision_config=vision_config.to_dict(), **_snake_case					)






     def    lowercase_   (       self  :  Dict					)   ->Union[str, Any]:
            snake_case__							:	Dict   	=	copy.deepcopy(self.__dict__					)
            snake_case__							:	Optional[Any]   	=	self.text_config.to_dict()
            snake_case__							:	str   	=	self.vision_config.to_dict()
            snake_case__							:	Optional[Any]   	=	self.__class__.model_type
            return output












"""simple docstring"""






def      _snake_case			(				lowercase__							,    lowercase__		):
				# "extended trapezoidal rule"
				# int(f) = dx/2 * (f1 + 2f2 + ... + fn)
				_lowerCamelCase     :			List[Any]    =    (boundary[1] - boundary[0]) / steps
				_lowerCamelCase     :			Tuple    =    boundary[0]
				_lowerCamelCase     :			Dict    =    boundary[1]
				_lowerCamelCase     :			List[Any]    =    make_points(lowercase__							,    lowercase__							,    lowercase__		)
				_lowerCamelCase     :			List[Any]    =    0.0
				y += (h / 2.0) * f(lowercase__		)
				for i in x_i:
								# print(i)
								y += h * f(lowercase__		)
				y += (h / 2.0) * f(lowercase__		)
				return y







def      _snake_case			(				lowercase__							,    lowercase__							,    lowercase__		):
				_lowerCamelCase     :			str    =    a + h
				while x < (b - h):
								yield x
								_lowerCamelCase     :			int    =    x + h







def      _snake_case			(				lowercase__		):  # enter your function here
				_lowerCamelCase     :			Optional[Any]    =    (x - 0) * (x - 0)
				return y







def      _snake_case			(				):
				_lowerCamelCase     :			int    =    0.0  # Lower bound of integration
				_lowerCamelCase     :			Optional[int]    =    1.0  # Upper bound of integration
				_lowerCamelCase     :			List[str]    =    1_0.0  # define number of steps or resolution
				_lowerCamelCase     :			List[Any]    =    [a, b]  # define boundary of integration
				_lowerCamelCase     :			Optional[Any]    =    method_a(lowercase__							,    lowercase__		)
				print(f'''y = {y}'''		)


if __name__ == "__main__":
			main()