

from math import factorial, pi
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	float    ,			SCREAMING_SNAKE_CASE__			:	int = 30      )							->      float:





    '''simple docstring'''






    if not isinstance(SCREAMING_SNAKE_CASE__    ,			(int, float)      ):
        raise ValueError('maclaurin_sin() requires either an int or float for theta'      )

    if not isinstance(SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__      ) or accuracy <= 0:
        raise ValueError('maclaurin_sin() requires a positive int for accuracy'      )

    A__          =   float(SCREAMING_SNAKE_CASE__      )
    A__          =   theta // (2 * pi)
    theta -= 2 * div * pi
    return sum(
        (-1) ** r * theta ** (2 * r + 1) / factorial(2 * r + 1      ) for r in range(SCREAMING_SNAKE_CASE__      )      )
def 						_snake_case(    SCREAMING_SNAKE_CASE__			:	float    ,			SCREAMING_SNAKE_CASE__			:	int = 30      )							->      float:





    '''simple docstring'''






    if not isinstance(SCREAMING_SNAKE_CASE__    ,			(int, float)      ):
        raise ValueError('maclaurin_cos() requires either an int or float for theta'      )

    if not isinstance(SCREAMING_SNAKE_CASE__    ,			SCREAMING_SNAKE_CASE__      ) or accuracy <= 0:
        raise ValueError('maclaurin_cos() requires a positive int for accuracy'      )

    A__          =   float(SCREAMING_SNAKE_CASE__      )
    A__          =   theta // (2 * pi)
    theta -= 2 * div * pi
    return sum((-1) ** r * theta ** (2 * r) / factorial(2 * r      ) for r in range(SCREAMING_SNAKE_CASE__      )      )


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     print(maclaurin_sin(10))
     print(maclaurin_sin(-10))
     print(maclaurin_sin(10, 15))
     print(maclaurin_sin(-10, 15))

     print(maclaurin_cos(5))
     print(maclaurin_cos(-5))
     print(maclaurin_cos(10, 15))
     print(maclaurin_cos(-10, 15))





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


_UpperCAmelCase	:     Optional[Any]   =logging.get_logger(__name__)

_UpperCAmelCase	:     str   ={
    """facebook/vit-mae-base""": """https://huggingface.co/facebook/vit-mae-base/resolve/main/config.json""",
    # See all ViT MAE models at https://huggingface.co/models?filter=vit-mae
}







class  snake_case__(							UpperCAmelCase__							):







						'''simple docstring'''




						SCREAMING_SNAKE_CASE__					:     Optional[Any]    =							"""vit_mae"""




						def __init__( self      ,  __lowercase=7_6_8      ,  __lowercase=1_2      ,  __lowercase=1_2      ,  __lowercase=3_0_7_2      ,  __lowercase="gelu"      ,  __lowercase=0.0      ,  __lowercase=0.0      ,  __lowercase=0.02      ,  __lowercase=1e-12      ,  __lowercase=2_2_4      ,  __lowercase=1_6      ,  __lowercase=3      ,  __lowercase=True      ,  __lowercase=1_6      ,  __lowercase=5_1_2      ,  __lowercase=8      ,  __lowercase=2_0_4_8      ,  __lowercase=0.75      ,  __lowercase=False      ,  **__lowercase      ,  )    ->			str:
										super().__init__(**__lowercase							)

										lowerCAmelCase_       :					Dict			 = hidden_size
										lowerCAmelCase_       :					Any			 = num_hidden_layers
										lowerCAmelCase_       :					Any			 = num_attention_heads
										lowerCAmelCase_       :					int			 = intermediate_size
										lowerCAmelCase_       :					Dict			 = hidden_act
										lowerCAmelCase_       :					int			 = hidden_dropout_prob
										lowerCAmelCase_       :					str			 = attention_probs_dropout_prob
										lowerCAmelCase_       :					List[str]			 = initializer_range
										lowerCAmelCase_       :					Dict			 = layer_norm_eps
										lowerCAmelCase_       :					Union[str, Any]			 = image_size
										lowerCAmelCase_       :					Optional[int]			 = patch_size
										lowerCAmelCase_       :					Tuple			 = num_channels
										lowerCAmelCase_       :					List[str]			 = qkv_bias
										lowerCAmelCase_       :					List[Any]			 = decoder_num_attention_heads
										lowerCAmelCase_       :					int			 = decoder_hidden_size
										lowerCAmelCase_       :					Optional[int]			 = decoder_num_hidden_layers
										lowerCAmelCase_       :					Tuple			 = decoder_intermediate_size
										lowerCAmelCase_       :					Tuple			 = mask_ratio
										lowerCAmelCase_       :					Any			 = norm_pix_loss