import copy
import os
from typing import Union

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


_lowerCamelCase   :				List[Any]     			=						logging.get_logger(__name__)

_lowerCamelCase   :				Tuple     			=						{
    "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      (       UpperCamelCase_       ):
       lowercase__  :    Any									=							"""blip_text_model"""




       def __init__(  self				:   Dict		,							_UpperCamelCase				:   Any=30_524		,							_UpperCamelCase				:   Optional[Any]=768		,							_UpperCamelCase				:   List[Any]=768		,							_UpperCamelCase				:   List[str]=3_072		,							_UpperCamelCase				:   List[Any]=768		,							_UpperCamelCase				:   Tuple=12		,							_UpperCamelCase				:   Union[str, Any]=8		,							_UpperCamelCase				:   Optional[int]=512		,							_UpperCamelCase				:   List[str]="gelu"		,							_UpperCamelCase				:   Dict=1e-12		,							_UpperCamelCase				:   Tuple=0.0		,							_UpperCamelCase				:   int=0.0		,							_UpperCamelCase				:   Union[str, Any]=0.0_2		,							_UpperCamelCase				:   str=30_522		,							_UpperCamelCase				:   Union[str, Any]=2		,							_UpperCamelCase				:   Optional[Any]=0		,							_UpperCamelCase				:   Tuple=102		,							_UpperCamelCase				:   List[str]=True		,							_UpperCamelCase				:   Optional[int]=True		,							**_UpperCamelCase				:   Optional[int]		,							)   ->			int:



            '''simple docstring'''

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

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





       @classmethod
       def 		__snake_case(  cls				:   Optional[int]		,							_UpperCamelCase				:   List[Any]		,							**_UpperCamelCase				:   List[str] )   ->			"PretrainedConfig":



            '''simple docstring'''

            cls._set_token_in_kwargs(_a )

            SCREAMING_SNAKE_CASE           =    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           =    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   lowercase      (       UpperCamelCase_       ):
       lowercase__  :    Union[str, Any]									=							"""blip_vision_model"""




       def __init__(  self				:   Union[str, Any]		,							_UpperCamelCase				:   Optional[Any]=768		,							_UpperCamelCase				:   Any=3_072		,							_UpperCamelCase				:   Any=512		,							_UpperCamelCase				:   Optional[int]=12		,							_UpperCamelCase				:   int=12		,							_UpperCamelCase				:   Optional[int]=384		,							_UpperCamelCase				:   Any=16		,							_UpperCamelCase				:   Tuple="gelu"		,							_UpperCamelCase				:   Tuple=1e-5		,							_UpperCamelCase				:   int=0.0		,							_UpperCamelCase				:   str=1e-10		,							**_UpperCamelCase				:   int		,							)   ->			int:



            '''simple docstring'''

            super().__init__(**_a )

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





       @classmethod
       def 		__snake_case(  cls				:   int		,							_UpperCamelCase				:   int		,							**_UpperCamelCase				:   Union[str, Any] )   ->			"PretrainedConfig":



            '''simple docstring'''

            cls._set_token_in_kwargs(_a )

            SCREAMING_SNAKE_CASE           =    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           =    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   lowercase      (       UpperCamelCase_       ):
       lowercase__  :    Optional[int]									=							"""blip"""
       lowercase__  :    List[Any]									=							True




       def __init__(  self				:   Union[str, Any]		,							_UpperCamelCase				:   Any=None		,							_UpperCamelCase				:   List[Any]=None		,							_UpperCamelCase				:   int=512		,							_UpperCamelCase				:   Optional[int]=2.6_5_9_2		,							_UpperCamelCase				:   int=256		,							**_UpperCamelCase				:   List[Any]		,							)   ->			int:



            '''simple docstring'''

            super().__init__(**_a )

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

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

            SCREAMING_SNAKE_CASE           =    BlipTextConfig(**_a )
            SCREAMING_SNAKE_CASE           =    BlipVisionConfig(**_a )

            SCREAMING_SNAKE_CASE           =    self.vision_config.hidden_size

            SCREAMING_SNAKE_CASE           =    projection_dim
            SCREAMING_SNAKE_CASE           =    logit_scale_init_value
            SCREAMING_SNAKE_CASE           =    1.0
            SCREAMING_SNAKE_CASE           =    0.0_2
            SCREAMING_SNAKE_CASE           =    image_text_hidden_size




       @classmethod
       def 		__snake_case(  cls				:   Tuple		,							_UpperCamelCase				:   Tuple		,							_UpperCamelCase				:   int		,							**_UpperCamelCase				:   List[Any] )   ->			int:



            '''simple docstring'''

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





       def 		__snake_case(  self				:   List[Any] )   ->			List[Any]:



            '''simple docstring'''

            SCREAMING_SNAKE_CASE           =    copy.deepcopy(self.__dict__ )
            SCREAMING_SNAKE_CASE           =    self.text_config.to_dict()
            SCREAMING_SNAKE_CASE           =    self.vision_config.to_dict()
            SCREAMING_SNAKE_CASE           =    self.__class__.model_type
            return output





def 		__lowerCamelCase							(UpperCAmelCase__       :							int ,	UpperCAmelCase__       :							int					):
					while b:
										SCREAMING_SNAKE_CASE     ,				SCREAMING_SNAKE_CASE           =    b, a % b
					return a





def 		__lowerCamelCase							(UpperCAmelCase__       :							int ,	UpperCAmelCase__       :							int					):
					return a if b == 0 else euclidean_gcd_recursive(UpperCAmelCase__ ,	a % b					)





def 		__lowerCamelCase							():
					print(F"euclidean_gcd(3, 5) = {euclidean_gcd(3 ,	5					)}"					)
					print(F"euclidean_gcd(5, 3) = {euclidean_gcd(5 ,	3					)}"					)
					print(F"euclidean_gcd(1, 3) = {euclidean_gcd(1 ,	3					)}"					)
					print(F"euclidean_gcd(3, 6) = {euclidean_gcd(3 ,	6					)}"					)
					print(F"euclidean_gcd(6, 3) = {euclidean_gcd(6 ,	3					)}"					)

					print(F"euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3 ,	5					)}"					)
					print(F"euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5 ,	3					)}"					)
					print(F"euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1 ,	3					)}"					)
					print(F"euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3 ,	6					)}"					)
					print(F"euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6 ,	3					)}"					)


if __name__ == "__main__":
							main()




