
'''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     :							str       						=     {
    '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 					A							(				__snake_case		):
     __magic_name__          =						'''blip_text_model'''





     def __init__(				self		,     SCREAMING_SNAKE_CASE=30524		,     SCREAMING_SNAKE_CASE=768		,     SCREAMING_SNAKE_CASE=768		,     SCREAMING_SNAKE_CASE=3072		,     SCREAMING_SNAKE_CASE=768		,     SCREAMING_SNAKE_CASE=12		,     SCREAMING_SNAKE_CASE=8		,     SCREAMING_SNAKE_CASE=512		,     SCREAMING_SNAKE_CASE="gelu"		,     SCREAMING_SNAKE_CASE=1e-12		,     SCREAMING_SNAKE_CASE=0.0		,     SCREAMING_SNAKE_CASE=0.0		,     SCREAMING_SNAKE_CASE=0.02		,     SCREAMING_SNAKE_CASE=30522		,     SCREAMING_SNAKE_CASE=2		,     SCREAMING_SNAKE_CASE=0		,     SCREAMING_SNAKE_CASE=102		,     SCREAMING_SNAKE_CASE=True		,     SCREAMING_SNAKE_CASE=True		,     **SCREAMING_SNAKE_CASE		,     )					->							Dict:






         """simple docstring"""






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

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





     @classmethod
     def 							__lowerCAmelCase				(				cls		,     SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )					->							"PretrainedConfig":






         """simple docstring"""






         cls._set_token_in_kwargs(SCREAMING_SNAKE_CASE      )

         A,    A			:  Optional[Any]   =		cls.get_config_dict(SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )

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





class 					A							(				__snake_case		):
     __magic_name__          =						'''blip_vision_model'''





     def __init__(				self		,     SCREAMING_SNAKE_CASE=768		,     SCREAMING_SNAKE_CASE=3072		,     SCREAMING_SNAKE_CASE=512		,     SCREAMING_SNAKE_CASE=12		,     SCREAMING_SNAKE_CASE=12		,     SCREAMING_SNAKE_CASE=384		,     SCREAMING_SNAKE_CASE=16		,     SCREAMING_SNAKE_CASE="gelu"		,     SCREAMING_SNAKE_CASE=1e-5		,     SCREAMING_SNAKE_CASE=0.0		,     SCREAMING_SNAKE_CASE=1e-10		,     **SCREAMING_SNAKE_CASE		,     )					->							Optional[Any]:






         """simple docstring"""






         super().__init__(**SCREAMING_SNAKE_CASE      )

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





     @classmethod
     def 							__lowerCAmelCase				(				cls		,     SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )					->							"PretrainedConfig":






         """simple docstring"""






         cls._set_token_in_kwargs(SCREAMING_SNAKE_CASE      )

         A,    A			:  Union[str, Any]   =		cls.get_config_dict(SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )

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





class 					A							(				__snake_case		):
     __magic_name__          =						'''blip'''
     __magic_name__          =						True





     def __init__(				self		,     SCREAMING_SNAKE_CASE=None		,     SCREAMING_SNAKE_CASE=None		,     SCREAMING_SNAKE_CASE=512		,     SCREAMING_SNAKE_CASE=2.6_592		,     SCREAMING_SNAKE_CASE=256		,     **SCREAMING_SNAKE_CASE		,     )					->							Union[str, Any]:






         """simple docstring"""






         super().__init__(**SCREAMING_SNAKE_CASE      )

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

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

         A			:  Optional[Any]   =		BlipTextConfig(**SCREAMING_SNAKE_CASE      )
         A			:  Tuple   =		BlipVisionConfig(**SCREAMING_SNAKE_CASE      )

         A			:  Tuple   =		self.vision_config.hidden_size

         A			:  Optional[int]   =		projection_dim
         A			:  Optional[Any]   =		logit_scale_init_value
         A			:  int   =		1.0
         A			:  List[str]   =		0.02
         A			:  List[str]   =		image_text_hidden_size





     @classmethod
     def 							__lowerCAmelCase				(				cls		,     SCREAMING_SNAKE_CASE		,     SCREAMING_SNAKE_CASE		,     **SCREAMING_SNAKE_CASE      )					->							List[str]:






         """simple docstring"""






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





     def 							__lowerCAmelCase				(				self      )					->							Dict:






         """simple docstring"""






         A			:  Optional[int]   =		copy.deepcopy(self.__dict__      )
         A			:  Any   =		self.text_config.to_dict()
         A			:  str   =		self.vision_config.to_dict()
         A			:  Any   =		self.__class__.model_type
         return output






'''simple docstring'''




import math
from collections.abc import Callable







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__						,							snake_case__		):




    '''simple docstring'''



    A			:  float   =		xa
    A			:  float   =		xa
    while True:
        if x_n == x_na or function(snake_case__		) == function(snake_case__		):
            raise ZeroDivisionError('''float division by zero, could not find root'''		)
        A			:  float   =		x_na - (
            function(snake_case__		) / ((function(snake_case__		) - function(snake_case__		)) / (x_na - x_n))
        )
        if abs(x_na - x_na		) < 10**-5:
            return x_na
        A			:  Any   =		x_na
        A			:  Any   =		x_na







def 						lowerCAmelCase_							(  snake_case__		):




    '''simple docstring'''



    return math.pow(snake_case__						,							3		) - (2 * x) - 5


if __name__ == "__main__":
      print(intersection(f, 3, 3.5))




