





import copy

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


_SCREAMING_SNAKE_CASE   						=		logging.get_logger(__name__)
class SCREAMING_SNAKE_CASE_    (       snake_case_       ):
						__magic_name__:      List[str]			   =							"hybrid-clip"
						__magic_name__:      Optional[Any]			   =							True






						def __init__(   self   :   Union[str, Any]		, _A   :   Optional[Any]=512		, **_A   :   Optional[Any]						)				->     Any:







							"""simple docstring"""


							super().__init__(**_A						)

							if "text_config" not in kwargs:
								raise ValueError('`text_config` can not be `None`.'						)

							if "vision_config" not in kwargs:
								raise ValueError('`vision_config` can not be `None`.'						)

							snake_case_		:      List[Any]           =						kwargs.pop('text_config'						)
							snake_case_		:      int           =						kwargs.pop('vision_config'						)

							snake_case_		:      Optional[Any]           =						text_config.pop('model_type'						)
							snake_case_		:      Optional[Any]           =						vision_config.pop('model_type'						)

							from transformers import AutoConfig

							snake_case_		:      List[str]           =						AutoConfig.for_model(_A		, **_A						)

							if vision_model_type == "clip":
								snake_case_		:      Optional[Any]           =						AutoConfig.for_model(_A		, **_A						).vision_config
							elif vision_model_type == "clip_vision_model":
								from transformers import CLIPVisionConfig

								snake_case_		:      Optional[Any]           =						CLIPVisionConfig(**_A						)
							else:
								snake_case_		:      List[Any]           =						AutoConfig.for_model(_A		, **_A						)

							snake_case_		:      Tuple           =						projection_dim
							snake_case_		:      Dict           =						1.0






						@classmethod
						def UpperCAmelCase_					(   cls   :   Any		, _A   :   PretrainedConfig		, _A   :   PretrainedConfig		, **_A   :   str						)				->     Optional[Any]:







							"""simple docstring"""


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






						def UpperCAmelCase_					(   self   :   Any						)				->     Union[str, Any]:







							"""simple docstring"""


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







'''simple docstring'''







def 		snake_case_				(_a      :				Any       ,  _a      :				Union[str, Any]	):
    if n < 0:
        return 0
    # table[i] represents the number of ways to get to amount i
    UpperCAmelCase     			=						[0] * (n + 1)

    # There is exactly 1 way to get to zero(You pick no coins).
    UpperCAmelCase     			=						1

    # Pick all coins one by one and update table[] values
    # after the index greater than or equal to the value of the
    # picked coin
    for coin_val in s:
        for j in range(_a       ,  n + 1	):
            table[j] += table[j - coin_val]

    return table[n]


if __name__ == "__main__":
   import doctest

   doctest.testmod()




