



"""simple docstring"""







import copy
import os
from typing import Union

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


lowercase__		:				str          =	logging.get_logger(__name__)

lowercase__		:				Optional[int]          =	{
    """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__   (	lowercase__  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     '''blip_text_model'''



      def __init__(      self				:      Any    ,			SCREAMING_SNAKE_CASE_				:      List[Any]=3_0_5_2_4    ,			SCREAMING_SNAKE_CASE_				:      Optional[Any]=7_6_8    ,			SCREAMING_SNAKE_CASE_				:      Dict=7_6_8    ,			SCREAMING_SNAKE_CASE_				:      Optional[int]=3_0_7_2    ,			SCREAMING_SNAKE_CASE_				:      str=7_6_8    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]=1_2    ,			SCREAMING_SNAKE_CASE_				:      List[str]=8    ,			SCREAMING_SNAKE_CASE_				:      str=5_1_2    ,			SCREAMING_SNAKE_CASE_				:      List[Any]="gelu"    ,			SCREAMING_SNAKE_CASE_				:      Any=1E-12    ,			SCREAMING_SNAKE_CASE_				:      Tuple=0.0    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]=0.0    ,			SCREAMING_SNAKE_CASE_				:      Tuple=0.02    ,			SCREAMING_SNAKE_CASE_				:      Union[str, Any]=3_0_5_2_2    ,			SCREAMING_SNAKE_CASE_				:      str=2    ,			SCREAMING_SNAKE_CASE_				:      List[str]=0    ,			SCREAMING_SNAKE_CASE_				:      Tuple=1_0_2    ,			SCREAMING_SNAKE_CASE_				:      List[Any]=True    ,			SCREAMING_SNAKE_CASE_				:      Any=True    ,			**SCREAMING_SNAKE_CASE_				:      List[Any]    ,			):
        super().__init__(
            pad_token_id=_a    ,			bos_token_id=_a    ,			eos_token_id=_a    ,			sep_token_id=_a    ,			**_a    ,			)

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





      @classmethod
      def      SCREAMING_SNAKE_CASE__ (      cls				:      int    ,			SCREAMING_SNAKE_CASE_				:      Union[str, os.PathLike]    ,			**SCREAMING_SNAKE_CASE_				:      Tuple       ):
        cls._set_token_in_kwargs(_a       )

        lowerCAmelCase_   :				Any								= cls.get_config_dict(_a    ,			**_a       )

        # get the text config dict if we are loading from BlipConfig
        if config_dict.get('model_type'       ) == "blip":
          lowerCAmelCase_   :				Tuple								= 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__   (	lowercase__  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     '''blip_vision_model'''



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

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





      @classmethod
      def      SCREAMING_SNAKE_CASE__ (      cls				:      Tuple    ,			SCREAMING_SNAKE_CASE_				:      Union[str, os.PathLike]    ,			**SCREAMING_SNAKE_CASE_				:      int       ):
        cls._set_token_in_kwargs(_a       )

        lowerCAmelCase_   :				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":
          lowerCAmelCase_   :				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(_a    ,			**_a       )







class       UpperCamelCase__   (	lowercase__  ):




      """simple docstring"""




      _SCREAMING_SNAKE_CASE  				=     '''blip'''
      _SCREAMING_SNAKE_CASE  				=     True



      def __init__(      self				:      Dict    ,			SCREAMING_SNAKE_CASE_				:      Optional[Any]=None    ,			SCREAMING_SNAKE_CASE_				:      List[str]=None    ,			SCREAMING_SNAKE_CASE_				:      Any=5_1_2    ,			SCREAMING_SNAKE_CASE_				:      Optional[Any]=2.65_92    ,			SCREAMING_SNAKE_CASE_				:      Optional[int]=2_5_6    ,			**SCREAMING_SNAKE_CASE_				:      Optional[int]    ,			):
        super().__init__(**_a       )

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

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

        lowerCAmelCase_   :				Union[str, Any]								= BlipTextConfig(**_a       )
        lowerCAmelCase_   :				Union[str, Any]								= BlipVisionConfig(**_a       )

        lowerCAmelCase_   :				int								= self.vision_config.hidden_size

        lowerCAmelCase_   :				Tuple								= projection_dim
        lowerCAmelCase_   :				int								= logit_scale_init_value
        lowerCAmelCase_   :				List[Any]								= 1.0
        lowerCAmelCase_   :				Any								= 0.02
        lowerCAmelCase_   :				Optional[int]								= image_text_hidden_size



      @classmethod
      def      SCREAMING_SNAKE_CASE__ (      cls				:      str    ,			SCREAMING_SNAKE_CASE_				:      BlipTextConfig    ,			SCREAMING_SNAKE_CASE_				:      BlipVisionConfig    ,			**SCREAMING_SNAKE_CASE_				:      Optional[int]       ):
        return cls(text_config=text_config.to_dict()    ,			vision_config=vision_config.to_dict()    ,			**_a       )





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







'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

__lowerCAmelCase         =    TypeVar("""T""")







class UpperCAmelCase__	( Generic[T]	):





  """simple docstring"""

  def __init__(		self      :     Tuple							,_a      :     T       ):


     '''simple docstring'''






     _a				:	List[str]			=   data
     _a				:	Node[T] | None			=   None


  def __str__(		self      :     Dict       ):


     '''simple docstring'''






     return F"""{self.data}"""







class UpperCAmelCase__	( Generic[T]	):





  """simple docstring"""

  def __init__(		self      :     Optional[int]       ):


     '''simple docstring'''






     _a				:	Node[T] | None			=   None


  def __iter__(		self      :     str       ):


     '''simple docstring'''






     _a				:	Tuple			=   self.top
     while node:
        yield node.data
        _a				:	int			=   node.next


  def __str__(		self      :     str       ):


     '''simple docstring'''






     return "->".join([str(_a       ) for item in self]       )


  def __len__(		self      :     Optional[Any]       ):


     '''simple docstring'''






     return len(tuple(iter(self       )       )       )


  def   __lowercase		(		self      :     str       ):


     '''simple docstring'''






     return self.top is None


  def   __lowercase		(		self      :     List[Any]							,_a      :     T       ):


     '''simple docstring'''






     _a				:	int			=   Node(_a       )
     if not self.is_empty():
        _a				:	Optional[Any]			=   self.top
     _a				:	List[str]			=   node


  def   __lowercase		(		self      :     Tuple       ):


     '''simple docstring'''






     if self.is_empty():
        raise IndexError('pop from empty stack'       )
     assert isinstance(self.top							,_a       )
     _a				:	List[Any]			=   self.top
     _a				:	int			=   self.top.next
     return pop_node.data


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     if self.is_empty():
        raise IndexError('peek from empty stack'       )

     assert self.top is not None
     return self.top.data


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     _a				:	Optional[int]			=   None


if __name__ == "__main__":
  from doctest import testmod

  testmod()



