
"""simple docstring"""





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(    lowerCamelCase	):
		lowercase__						=      'blip_text_model'



		def __init__(					self				,		__a=3_05_24				,		__a=7_68				,		__a=7_68				,		__a=30_72				,		__a=7_68				,		__a=12				,		__a=8				,		__a=5_12				,		__a="gelu"				,		__a=1e-12				,		__a=0.0				,		__a=0.0				,		__a=0.02				,		__a=3_05_22				,		__a=2				,		__a=0				,		__a=1_02				,		__a=True				,		__a=True				,		**__a				,		)       ->       List[str]:






							'''simple docstring'''
							super().__init__(
							    pad_token_id=__a				,		bos_token_id=__a				,		eos_token_id=__a				,		sep_token_id=__a				,		**__a				,		)

							_UpperCamelCase							 =  vocab_size
							_UpperCamelCase							 =  hidden_size
							_UpperCamelCase							 =  encoder_hidden_size
							_UpperCamelCase							 =  intermediate_size
							_UpperCamelCase							 =  projection_dim
							_UpperCamelCase							 =  hidden_dropout_prob
							_UpperCamelCase							 =  num_hidden_layers
							_UpperCamelCase							 =  num_attention_heads
							_UpperCamelCase							 =  max_position_embeddings
							_UpperCamelCase							 =  layer_norm_eps
							_UpperCamelCase							 =  hidden_act
							_UpperCamelCase							 =  initializer_range
							_UpperCamelCase							 =  attention_probs_dropout_prob
							_UpperCamelCase							 =  is_decoder
							_UpperCamelCase							 =  use_cache




		@classmethod
		def 						UpperCAmelCase							(					cls				,		__a				,		**__a)       ->       "PretrainedConfig":






							'''simple docstring'''
							cls._set_token_in_kwargs(__a)

							_UpperCamelCase							 =  cls.get_config_dict(__a				,		**__a)

							# get the text config dict if we are loading from BlipConfig
							if config_dict.get('''model_type''') == "blip":
												_UpperCamelCase							 =  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(    lowerCamelCase	):
		lowercase__						=      'blip_vision_model'



		def __init__(					self				,		__a=7_68				,		__a=30_72				,		__a=5_12				,		__a=12				,		__a=12				,		__a=3_84				,		__a=16				,		__a="gelu"				,		__a=1e-5				,		__a=0.0				,		__a=1e-10				,		**__a				,		)       ->       Union[str, Any]:






							'''simple docstring'''
							super().__init__(**__a)

							_UpperCamelCase							 =  hidden_size
							_UpperCamelCase							 =  intermediate_size
							_UpperCamelCase							 =  projection_dim
							_UpperCamelCase							 =  num_hidden_layers
							_UpperCamelCase							 =  num_attention_heads
							_UpperCamelCase							 =  patch_size
							_UpperCamelCase							 =  image_size
							_UpperCamelCase							 =  initializer_range
							_UpperCamelCase							 =  attention_dropout
							_UpperCamelCase							 =  layer_norm_eps
							_UpperCamelCase							 =  hidden_act




		@classmethod
		def 						UpperCAmelCase							(					cls				,		__a				,		**__a)       ->       "PretrainedConfig":






							'''simple docstring'''
							cls._set_token_in_kwargs(__a)

							_UpperCamelCase							 =  cls.get_config_dict(__a				,		**__a)

							# get the vision config dict if we are loading from BlipConfig
							if config_dict.get('''model_type''') == "blip":
												_UpperCamelCase							 =  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(    lowerCamelCase	):
		lowercase__						=      'blip'
		lowercase__						=      True



		def __init__(					self				,		__a=None				,		__a=None				,		__a=5_12				,		__a=2.6592				,		__a=2_56				,		**__a				,		)       ->       Dict:






							'''simple docstring'''
							super().__init__(**__a)

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

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

							_UpperCamelCase							 =  BlipTextConfig(**__a)
							_UpperCamelCase							 =  BlipVisionConfig(**__a)

							_UpperCamelCase							 =  self.vision_config.hidden_size

							_UpperCamelCase							 =  projection_dim
							_UpperCamelCase							 =  logit_scale_init_value
							_UpperCamelCase							 =  1.0
							_UpperCamelCase							 =  0.02
							_UpperCamelCase							 =  image_text_hidden_size



		@classmethod
		def 						UpperCAmelCase							(					cls				,		__a				,		__a				,		**__a)       ->       List[Any]:






							'''simple docstring'''
							return cls(text_config=text_config.to_dict()				,		vision_config=vision_config.to_dict()				,		**__a)




		def 						UpperCAmelCase							(					self)       ->       int:






							'''simple docstring'''
							_UpperCamelCase							 =  copy.deepcopy(self.__dict__)
							_UpperCamelCase							 =  self.text_config.to_dict()
							_UpperCamelCase							 =  self.vision_config.to_dict()
							_UpperCamelCase							 =  self.__class__.model_type
							return output











"""simple docstring"""
import math

from numpy import inf
from scipy.integrate import quad





def  lowerCamelCase_						(UpperCamelCase__		:		float							):
    if num <= 0:
        raise ValueError('''math domain error'''							)

    return quad(UpperCamelCase__     ,       0     ,       UpperCamelCase__     ,       args=(UpperCamelCase__)							)[0]





def  lowerCamelCase_						(UpperCamelCase__		:		float     ,       UpperCamelCase__		:		float							):
    return math.pow(UpperCamelCase__     ,       z - 1							) * math.exp(-x							)


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

  testmod()


