
def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  int					)     ->    int:
						return n * (2 * n - 1)




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  int					)     ->    bool:
						_lowercase									=				(1 + 24 * n) ** 0.5
						return ((1 + root) / 6) % 1 == 0




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  int = 1_44					)     ->    int:
						_lowercase									=				start
						_lowercase									=				hexagonal_num(SCREAMING_SNAKE_CASE_					)
						while not is_pentagonal(SCREAMING_SNAKE_CASE_					):
												n += 1
												_lowercase									=				hexagonal_num(SCREAMING_SNAKE_CASE_					)
						return num


if __name__ == "__main__":
		print(F'{solution()} = ')

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


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

A		:   str         =    {
    '''MCG-NJU/videomae-base''': '''https://huggingface.co/MCG-NJU/videomae-base/resolve/main/config.json''',
}



class       a_   ( _a						):
			a  : str				      =       '''videomae'''






			def __init__(			self							, __UpperCamelCase=224							, __UpperCamelCase=16							, __UpperCamelCase=3							, __UpperCamelCase=16							, __UpperCamelCase=2							, __UpperCamelCase=768							, __UpperCamelCase=12							, __UpperCamelCase=12							, __UpperCamelCase=3_072							, __UpperCamelCase="gelu"							, __UpperCamelCase=0.0							, __UpperCamelCase=0.0							, __UpperCamelCase=0.02							, __UpperCamelCase=1E-12							, __UpperCamelCase=True							, __UpperCamelCase=True							, __UpperCamelCase=6							, __UpperCamelCase=384							, __UpperCamelCase=4							, __UpperCamelCase=1_536							, __UpperCamelCase=True							, **__UpperCamelCase							, ):
									super().__init__(**__UpperCamelCase     )

									_lowercase									=				image_size
									_lowercase									=				patch_size
									_lowercase									=				num_channels
									_lowercase									=				num_frames
									_lowercase									=				tubelet_size

									_lowercase									=				hidden_size
									_lowercase									=				num_hidden_layers
									_lowercase									=				num_attention_heads
									_lowercase									=				intermediate_size
									_lowercase									=				hidden_act
									_lowercase									=				hidden_dropout_prob
									_lowercase									=				attention_probs_dropout_prob
									_lowercase									=				initializer_range
									_lowercase									=				layer_norm_eps
									_lowercase									=				qkv_bias
									_lowercase									=				use_mean_pooling

									_lowercase									=				decoder_num_attention_heads
									_lowercase									=				decoder_hidden_size
									_lowercase									=				decoder_num_hidden_layers
									_lowercase									=				decoder_intermediate_size
									_lowercase									=				norm_pix_loss