




import copy
import os
from typing import Union

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


lowerCamelCase	:	List[str]				=   logging.get_logger(__name__)

lowerCamelCase	:	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 						__lowercase		(_lowerCAmelCase							):




      """simple docstring"""





      _snake_case												=						"blip_text_model"




      def __init__(				self    ,				A=3_0_5_2_4    ,				A=7_6_8    ,				A=7_6_8    ,				A=3_0_7_2    ,				A=7_6_8    ,				A=1_2    ,				A=8    ,				A=5_1_2    ,				A="gelu"    ,				A=1e-1_2    ,				A=0.0    ,				A=0.0    ,				A=0.02    ,				A=3_0_5_2_2    ,				A=2    ,				A=0    ,				A=1_0_2    ,				A=True    ,				A=True    ,				**A    ,				)		->    List[Any]:
         super().__init__(
             pad_token_id=_lowercase    ,				bos_token_id=_lowercase    ,				eos_token_id=_lowercase    ,				sep_token_id=_lowercase    ,				**_lowercase    ,				)

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




      @classmethod
      def      UpperCAmelCase				(				cls    ,				A    ,				**A     )		->    Union[str, Any]:
         cls._set_token_in_kwargs(_lowercase     )

         snake_case     , snake_case				:    Union[str, Any]           =	cls.get_config_dict(_lowercase    ,				**_lowercase     )

         # get the text config dict if we are loading from BlipConfig
         if config_dict.get("""model_type"""     ) == "blip":
            snake_case				:    Optional[int]           =	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(_lowercase    ,				**_lowercase     )




class 						__lowercase		(_lowerCAmelCase							):




      """simple docstring"""





      _snake_case												=						"blip_vision_model"




      def __init__(				self    ,				A=7_6_8    ,				A=3_0_7_2    ,				A=5_1_2    ,				A=1_2    ,				A=1_2    ,				A=3_8_4    ,				A=1_6    ,				A="gelu"    ,				A=1e-5    ,				A=0.0    ,				A=1e-1_0    ,				**A    ,				)		->    List[str]:
         super().__init__(**_lowercase     )

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




      @classmethod
      def      UpperCAmelCase				(				cls    ,				A    ,				**A     )		->    Union[str, Any]:
         cls._set_token_in_kwargs(_lowercase     )

         snake_case     , snake_case				:    Tuple           =	cls.get_config_dict(_lowercase    ,				**_lowercase     )

         # get the vision config dict if we are loading from BlipConfig
         if config_dict.get("""model_type"""     ) == "blip":
            snake_case				:    Optional[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(_lowercase    ,				**_lowercase     )




class 						__lowercase		(_lowerCAmelCase							):




      """simple docstring"""





      _snake_case												=						"blip"
      _snake_case												=						True




      def __init__(				self    ,				A=None    ,				A=None    ,				A=5_1_2    ,				A=2.65_92    ,				A=2_5_6    ,				**A    ,				)		->    Optional[int]:
         super().__init__(**_lowercase     )

         if text_config is None:
            snake_case				:    Optional[int]           =	{}
            logger.info("""`text_config` is `None`. Initializing the `BlipTextConfig` with default values."""     )

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

         snake_case				:    int           =	BlipTextConfig(**_lowercase     )
         snake_case				:    Optional[int]           =	BlipVisionConfig(**_lowercase     )

         snake_case				:    List[str]           =	self.vision_config.hidden_size

         snake_case				:    Dict           =	projection_dim
         snake_case				:    Tuple           =	logit_scale_init_value
         snake_case				:    Optional[int]           =	1.0
         snake_case				:    List[str]           =	0.02
         snake_case				:    int           =	image_text_hidden_size




      @classmethod
      def      UpperCAmelCase				(				cls    ,				A    ,				A    ,				**A     )		->    Optional[Any]:
         return cls(text_config=text_config.to_dict()    ,				vision_config=vision_config.to_dict()    ,				**_lowercase     )




      def      UpperCAmelCase				(				self     )		->    List[str]:
         snake_case				:    str           =	copy.deepcopy(self.__dict__     )
         snake_case				:    List[str]           =	self.text_config.to_dict()
         snake_case				:    str           =	self.vision_config.to_dict()
         snake_case				:    Union[str, Any]           =	self.__class__.model_type
         return output











import functools




def 						SCREAMING_SNAKE_CASE__ (   lowercase						,lowercase					)  ->       int:

   # Validation
   if not isinstance(lowercase						,lowercase					) or not all(isinstance(lowercase						,lowercase					) for day in days					):
      raise ValueError("""The parameter days should be a list of integers"""					)

   if len(lowercase					) != 3 or not all(isinstance(lowercase						,lowercase					) for cost in costs					):
      raise ValueError("""The parameter costs should be a list of three integers"""					)

   if len(lowercase					) == 0:
      return 0

   if min(lowercase					) <= 0:
      raise ValueError("""All days elements should be greater than 0"""					)

   if max(lowercase					) >= 366:
      raise ValueError("""All days elements should be less than 366"""					)

   snake_case				:    List[str]           =	set(lowercase					)

   @functools.cache
   def dynamic_programming(lowercase					) -> int:
      if index > 365:
         return 0

      if index not in days_set:
         return dynamic_programming(index + 1					)

      return min(
          costs[0] + dynamic_programming(index + 1					)						,costs[1] + dynamic_programming(index + 7					)						,costs[2] + dynamic_programming(index + 30					)						,)

   return dynamic_programming(1					)


if __name__ == "__main__":
       import doctest

       doctest.testmod()





