





'''simple docstring'''




import copy
import os
from typing import Union

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


_SCREAMING_SNAKE_CASE							     =			logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE							     =			{
    """BridgeTower/bridgetower-base""": """https://huggingface.co/BridgeTower/bridgetower-base/blob/main/config.json""",
    """BridgeTower/bridgetower-base-itm-mlm""": (
        """https://huggingface.co/BridgeTower/bridgetower-base-itm-mlm/blob/main/config.json"""
    ),
}
class 			_lowerCAmelCase		(			__lowercase	):






     """simple docstring"""






     snake_case_						      =   '''bridgetower_vision_model'''



     def __init__(   self							:			str   ,       __snake_case							:			str=7_68   ,       __snake_case							:			str=12   ,       __snake_case							:			str=3   ,       __snake_case							:			Optional[Any]=16   ,       __snake_case							:			List[str]=2_88   ,       __snake_case							:			int=1   ,       __snake_case							:			Optional[int]=1e-05   ,       __snake_case							:			Union[str, Any]=False   ,       __snake_case							:			Tuple=True   ,       __snake_case							:			List[str]=False   ,       **__snake_case							:			str   ,       )->	Optional[Any]:
        super().__init__(**_lowerCAmelCase						)
        snake_case 						=   hidden_size
        snake_case 						=   num_hidden_layers
        snake_case 						=   num_channels
        snake_case 						=   patch_size
        snake_case 						=   image_size
        snake_case 						=   initializer_factor
        snake_case 						=   layer_norm_eps
        snake_case 						=   stop_gradient
        snake_case 						=   share_layernorm
        snake_case 						=   remove_last_layer



     @classmethod
     def      lowerCAmelCase			(   cls							:			List[Any]   ,       __snake_case							:			List[Any]   ,       **__snake_case							:			List[str]						)->	Tuple:
        snake_case 						=   cls.get_config_dict(_lowerCAmelCase   ,       **_lowerCAmelCase						)

        if config_dict.get("""model_type"""						) == "bridgetower":
           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(_lowerCAmelCase   ,       **_lowerCAmelCase						)




class 			_lowerCAmelCase		(			__lowercase	):






     """simple docstring"""






     snake_case_						      =   '''bridgetower_text_model'''



     def __init__(   self							:			Dict   ,       __snake_case							:			Optional[int]=5_02_65   ,       __snake_case							:			int=7_68   ,       __snake_case							:			Optional[Any]=12   ,       __snake_case							:			Tuple=12   ,       __snake_case							:			int=1   ,       __snake_case							:			Optional[int]=30_72   ,       __snake_case							:			List[str]="gelu"   ,       __snake_case							:			Union[str, Any]=0.1   ,       __snake_case							:			Optional[int]=0.1   ,       __snake_case							:			int=5_14   ,       __snake_case							:			str=1   ,       __snake_case							:			str=1e-05   ,       __snake_case							:			Tuple=1   ,       __snake_case							:			Union[str, Any]=0   ,       __snake_case							:			Optional[int]=2   ,       __snake_case							:			int="absolute"   ,       __snake_case							:			str=True   ,       **__snake_case							:			str   ,       )->	List[str]:
        super().__init__(**_lowerCAmelCase						)

        snake_case 						=   vocab_size
        snake_case 						=   hidden_size
        snake_case 						=   num_hidden_layers
        snake_case 						=   num_attention_heads
        snake_case 						=   hidden_act
        snake_case 						=   initializer_factor
        snake_case 						=   intermediate_size
        snake_case 						=   hidden_dropout_prob
        snake_case 						=   attention_probs_dropout_prob
        snake_case 						=   max_position_embeddings
        snake_case 						=   type_vocab_size
        snake_case 						=   layer_norm_eps
        snake_case 						=   position_embedding_type
        snake_case 						=   use_cache
        snake_case 						=   pad_token_id
        snake_case 						=   bos_token_id
        snake_case 						=   eos_token_id



     @classmethod
     def      lowerCAmelCase			(   cls							:			Optional[Any]   ,       __snake_case							:			List[Any]   ,       **__snake_case							:			str						)->	Optional[int]:
        snake_case 						=   cls.get_config_dict(_lowerCAmelCase   ,       **_lowerCAmelCase						)

        if config_dict.get("""model_type"""						) == "bridgetower":
           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(_lowerCAmelCase   ,       **_lowerCAmelCase						)




class 			_lowerCAmelCase		(			__lowercase	):






     """simple docstring"""






     snake_case_						      =   '''bridgetower'''



     def __init__(   self							:			Union[str, Any]   ,       __snake_case							:			List[str]=True   ,       __snake_case							:			Optional[int]="gelu"   ,       __snake_case							:			List[str]=7_68   ,       __snake_case							:			List[str]=1   ,       __snake_case							:			List[str]=1e-05   ,       __snake_case							:			List[Any]=False   ,       __snake_case							:			str="add"   ,       __snake_case							:			Tuple=12   ,       __snake_case							:			List[str]=6   ,       __snake_case							:			Tuple=False   ,       __snake_case							:			Dict=False   ,       __snake_case							:			List[Any]=None   ,       __snake_case							:			Union[str, Any]=None   ,       **__snake_case							:			Union[str, Any]   ,       )->	Any:
        snake_case 						=   kwargs.pop("""text_config_dict"""   ,       _lowerCAmelCase						)
        snake_case 						=   kwargs.pop("""vision_config_dict"""   ,       _lowerCAmelCase						)

        super().__init__(**_lowerCAmelCase						)
        snake_case 						=   share_cross_modal_transformer_layers
        snake_case 						=   hidden_act
        snake_case 						=   hidden_size
        snake_case 						=   initializer_factor
        snake_case 						=   layer_norm_eps
        snake_case 						=   share_link_tower_layers
        snake_case 						=   link_tower_type
        snake_case 						=   num_attention_heads
        snake_case 						=   num_hidden_layers
        snake_case 						=   tie_word_embeddings
        snake_case 						=   init_layernorm_from_vision_encoder

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

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

        snake_case 						=   BridgeTowerTextConfig(**_lowerCAmelCase						)
        snake_case 						=   BridgeTowerVisionConfig(**_lowerCAmelCase						)



     @classmethod
     def      lowerCAmelCase			(   cls							:			int   ,       __snake_case							:			Dict   ,       __snake_case							:			int   ,       **__snake_case							:			Tuple						)->	Union[str, Any]:
        return cls(text_config=text_config.to_dict()   ,       vision_config=vision_config.to_dict()   ,       **_lowerCAmelCase						)



     def      lowerCAmelCase			(   self							:			Dict						)->	Dict:
        snake_case 						=   copy.deepcopy(self.__dict__						)
        snake_case 						=   self.text_config.to_dict()
        snake_case 						=   self.vision_config.to_dict()
        snake_case 						=   self.__class__.model_type
        return output








import re






def 		lowerCAmelCase  (	UpperCamelCase__   :   str					)      ->    bool:

						"""simple docstring"""





						__SCREAMING_SNAKE_CASE:				Optional[int]           =   re.compile(
						    R'''^(?:0|94|\+94|0{2}94)''' R'''7(0|1|2|4|5|6|7|8)''' R'''(-| |)''' R'''\d{7}$'''					)

						return bool(re.search(UpperCamelCase__       ,			UpperCamelCase__					)					)


if __name__ == "__main__":
							lowerCAmelCase							:       str					 =	"""0094702343221"""

							print(is_sri_lankan_phone_number(phone))



