

import copy
import os
from typing import Union

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


a_						     =    logging.get_logger(__name__)

a_						     =    {
    '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 _UpperCamelCase							(							__A   ):
			'''simple docstring'''







			lowerCamelCase__           ='blip_text_model'
			def __init__(			self							: Any      ,      a							: Any=3_0524      ,      a							: List[Any]=768      ,      a							: List[Any]=768      ,      a							: Optional[int]=3072      ,      a							: Dict=768      ,      a							: Optional[Any]=12      ,      a							: str=8      ,      a							: Tuple=512      ,      a							: Dict="gelu"      ,      a							: List[Any]=1e-12      ,      a							: Union[str, Any]=0.0      ,      a							: List[str]=0.0      ,      a							: Optional[Any]=0.02      ,      a							: Optional[int]=3_0522      ,      a							: Tuple=2      ,      a							: Tuple=0      ,      a							: Union[str, Any]=102      ,      a							: Optional[int]=True      ,      a							: Any=True      ,      **a							: str      ,      )							->       str:

				"""simple docstring"""

				super().__init__(
				    pad_token_id=a      ,      bos_token_id=a      ,      eos_token_id=a      ,      sep_token_id=a      ,      **a      ,      )

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






			@classmethod
			def 							__UpperCamelCase (			cls							: str      ,      a							: Union[str, os.PathLike]      ,      **a							: List[str]	)							->       "PretrainedConfig":

				"""simple docstring"""

				cls._set_token_in_kwargs(a	)

				SCREAMING_SNAKE_CASE     ,SCREAMING_SNAKE_CASE   :      int				     =       cls.get_config_dict(a      ,      **a	)

				# get the text config dict if we are loading from BlipConfig
				if config_dict.get("model_type"	) == "blip":
					SCREAMING_SNAKE_CASE   :      Optional[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 _UpperCamelCase							(							__A   ):
			'''simple docstring'''







			lowerCamelCase__           ='blip_vision_model'
			def __init__(			self							: Union[str, Any]      ,      a							: Any=768      ,      a							: Tuple=3072      ,      a							: Dict=512      ,      a							: Any=12      ,      a							: Optional[Any]=12      ,      a							: Any=384      ,      a							: Tuple=16      ,      a							: Dict="gelu"      ,      a							: Dict=1e-5      ,      a							: Union[str, Any]=0.0      ,      a							: Tuple=1e-10      ,      **a							: Dict      ,      )							->       Any:

				"""simple docstring"""

				super().__init__(**a	)

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






			@classmethod
			def 							__UpperCamelCase (			cls							: int      ,      a							: Union[str, os.PathLike]      ,      **a							: List[Any]	)							->       "PretrainedConfig":

				"""simple docstring"""

				cls._set_token_in_kwargs(a	)

				SCREAMING_SNAKE_CASE     ,SCREAMING_SNAKE_CASE   :      List[str]				     =       cls.get_config_dict(a      ,      **a	)

				# get the vision config dict if we are loading from BlipConfig
				if config_dict.get("model_type"	) == "blip":
					SCREAMING_SNAKE_CASE   :      List[str]				     =       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(a      ,      **a	)






class _UpperCamelCase							(							__A   ):
			'''simple docstring'''







			lowerCamelCase__           ='blip'
			lowerCamelCase__           =True
			def __init__(			self							: List[Any]      ,      a							: Any=None      ,      a							: List[Any]=None      ,      a							: Any=512      ,      a							: List[str]=2.6592      ,      a							: str=256      ,      **a							: List[str]      ,      )							->       Dict:

				"""simple docstring"""

				super().__init__(**a	)

				if text_config is None:
					SCREAMING_SNAKE_CASE   :      str				     =       {}
					logger.info("`text_config` is `None`. Initializing the `BlipTextConfig` with default values."	)

				if vision_config is None:
					SCREAMING_SNAKE_CASE   :      List[str]				     =       {}
					logger.info("`vision_config` is `None`. Initializing the `BlipVisionConfig` with default values."	)

				SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       BlipTextConfig(**a	)
				SCREAMING_SNAKE_CASE   :      Dict				     =       BlipVisionConfig(**a	)

				SCREAMING_SNAKE_CASE   :      Any				     =       self.vision_config.hidden_size

				SCREAMING_SNAKE_CASE   :      List[Any]				     =       projection_dim
				SCREAMING_SNAKE_CASE   :      Dict				     =       logit_scale_init_value
				SCREAMING_SNAKE_CASE   :      str				     =       1.0
				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       0.02
				SCREAMING_SNAKE_CASE   :      str				     =       image_text_hidden_size
			@classmethod
			def 							__UpperCamelCase (			cls							: Optional[int]      ,      a							: BlipTextConfig      ,      a							: BlipVisionConfig      ,      **a							: str	)							->       List[Any]:

				"""simple docstring"""

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






			def 							__UpperCamelCase (			self							: Union[str, Any]	)							->       Any:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       copy.deepcopy(self.__dict__	)
				SCREAMING_SNAKE_CASE   :      List[Any]				     =       self.text_config.to_dict()
				SCREAMING_SNAKE_CASE   :      int				     =       self.vision_config.to_dict()
				SCREAMING_SNAKE_CASE   :      Dict				     =       self.__class__.model_type
				return output


class _UpperCamelCase							:
			'''simple docstring'''







			def __init__(			self							: Optional[Any]      ,      a							: int	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Tuple				     =       size
				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       [0] * size
				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       [0] * size
			@staticmethod
			def 							__UpperCamelCase (			a							: int	)							->       int:

				"""simple docstring"""

				return index | (index + 1)
			@staticmethod
			def 							__UpperCamelCase (			a							: int	)							->       int:

				"""simple docstring"""

				return (index & (index + 1)) - 1
			def 							__UpperCamelCase (			self							: Any      ,      a							: int      ,      a							: int	)							->       None:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE   :      Union[str, Any]				     =       value
				while index < self.size:
					SCREAMING_SNAKE_CASE   :      Dict				     =       self.get_prev(a	) + 1
					if current_left_border == index:
						SCREAMING_SNAKE_CASE   :      Optional[int]				     =       value
					else:
						SCREAMING_SNAKE_CASE   :      Tuple				     =       max(a      ,      a      ,      a	)
					SCREAMING_SNAKE_CASE   :      Optional[Any]				     =       self.get_next(a	)






			def 							__UpperCamelCase (			self							: Optional[int]      ,      a							: int      ,      a							: int	)							->       int:

				"""simple docstring"""

				right -= 1  # Because of right is exclusive
				SCREAMING_SNAKE_CASE   :      Optional[int]				     =       0
				while left <= right:
					SCREAMING_SNAKE_CASE   :      List[Any]				     =       self.get_prev(a	)
					if left <= current_left:
						SCREAMING_SNAKE_CASE   :      List[Any]				     =       max(a      ,      self.tree[right]	)
						SCREAMING_SNAKE_CASE   :      str				     =       current_left
					else:
						SCREAMING_SNAKE_CASE   :      List[str]				     =       max(a      ,      self.arr[right]	)
						right -= 1
				return result


if __name__ == "__main__":
			import doctest

			doctest.testmod()