




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


SCREAMING_SNAKE_CASE:    List[str]											=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE:    Union[str, Any]											=   {
    '''ZinengTang/tvlt-base''': '''https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json''',
}



class       lowercase_		(lowerCAmelCase__   ):
						lowerCAmelCase__ 			="tvlt"



						def __init__( self  :      str				,       snake_case__  :      str=2_24				,       snake_case__  :      str=20_48				,       snake_case__  :      Optional[Any]=1_28				,       snake_case__  :      Dict=[16, 16]				,       snake_case__  :      Dict=[16, 16]				,       snake_case__  :      Optional[Any]=3				,       snake_case__  :      Tuple=1				,       snake_case__  :      List[str]=8				,       snake_case__  :      Dict=7_68				,       snake_case__  :      int=12				,       snake_case__  :      Union[str, Any]=12				,       snake_case__  :      str=30_72				,       snake_case__  :      int="gelu"				,       snake_case__  :      Tuple=0.0				,       snake_case__  :      Tuple=0.0				,       snake_case__  :      List[str]=0.02				,       snake_case__  :      List[str]=1e-6				,       snake_case__  :      Dict=True				,       snake_case__  :      Tuple=False				,       snake_case__  :      str=16				,       snake_case__  :      Tuple=5_12				,       snake_case__  :      Optional[int]=8				,       snake_case__  :      Any=20_48				,       snake_case__  :      List[str]=0.75				,       snake_case__  :      str=0.15				,       snake_case__  :      Union[str, Any]="frame-level"				,       snake_case__  :      Optional[int]=True				,       snake_case__  :      Any=True				,       snake_case__  :      Any="classification"				,       **snake_case__  :      Optional[Any]				,       ):

								"""simple docstring"""

								super().__init__(**_lowerCamelCase     )

								if audio_mask_type not in ("frame-level", "patch_level"):
										raise ValueError(
										    'audio_mask_type must be one of two acceptable strategies - {\'frame_level\', \'patch-level\') '
										    f'''got {audio_mask_type}'''     )

								SCREAMING_SNAKE_CASE_							=       image_size
								SCREAMING_SNAKE_CASE_							=       spectrogram_length
								SCREAMING_SNAKE_CASE_							=       frequency_length
								SCREAMING_SNAKE_CASE_							=       image_patch_size
								SCREAMING_SNAKE_CASE_							=       audio_patch_size
								SCREAMING_SNAKE_CASE_							=       num_image_channels
								SCREAMING_SNAKE_CASE_							=       num_audio_channels
								SCREAMING_SNAKE_CASE_							=       num_frames

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

								SCREAMING_SNAKE_CASE_							=       decoder_num_attention_heads
								SCREAMING_SNAKE_CASE_							=       decoder_hidden_size
								SCREAMING_SNAKE_CASE_							=       decoder_num_hidden_layers
								SCREAMING_SNAKE_CASE_							=       decoder_intermediate_size
								SCREAMING_SNAKE_CASE_							=       pixel_mask_ratio
								SCREAMING_SNAKE_CASE_							=       audio_mask_ratio
								SCREAMING_SNAKE_CASE_							=       audio_mask_type

								SCREAMING_SNAKE_CASE_							=       task_matching
								SCREAMING_SNAKE_CASE_							=       task_mae
								SCREAMING_SNAKE_CASE_							=       loss_type





from __future__ import annotations

import sys


def 				_a       (				lowerCAmelCase   )->  int:
		if n < 0:
				raise ValueError('Negative arguments are not supported'   )
		return _fib(lowerCAmelCase   )[0]


def 				_a       (				lowerCAmelCase   )->  tuple[int, int]:
		if n == 0:  # (F(0), F(1))
				return (0, 1)

		# F(2n) = F(n)[2F(n+1) − F(n)]
		# F(2n+1) = F(n+1)^2+F(n)^2
		SCREAMING_SNAKE_CASE_			,							SCREAMING_SNAKE_CASE_							=       _fib(n // 2   )
		SCREAMING_SNAKE_CASE_							=       a * (b * 2 - a)
		SCREAMING_SNAKE_CASE_							=       a * a + b * b
		return (d, c + d) if n % 2 else (c, d)


if __name__ == "__main__":
						SCREAMING_SNAKE_CASE:    Optional[int]											=   int(sys.argv[1])
						print(f"""fibonacci({n}) is {fibonacci(n)}""")