




"""simple docstring"""




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


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

UpperCAmelCase__				:   Dict   							=			{
    'ZinengTang/tvlt-base': 'https://huggingface.co/ZinengTang/tvlt-base/blob/main/config.json',
}



class      lowerCAmelCase_						(lowerCAmelCase__  ):


				"""simple docstring"""



				__UpperCamelCase				:						Any 	=       """tvlt"""



				def __init__(self       ,	SCREAMING_SNAKE_CASE__=2_24       ,	SCREAMING_SNAKE_CASE__=20_48       ,	SCREAMING_SNAKE_CASE__=1_28       ,	SCREAMING_SNAKE_CASE__=[16, 16]       ,	SCREAMING_SNAKE_CASE__=[16, 16]       ,	SCREAMING_SNAKE_CASE__=3       ,	SCREAMING_SNAKE_CASE__=1       ,	SCREAMING_SNAKE_CASE__=8       ,	SCREAMING_SNAKE_CASE__=7_68       ,	SCREAMING_SNAKE_CASE__=12       ,	SCREAMING_SNAKE_CASE__=12       ,	SCREAMING_SNAKE_CASE__=30_72       ,	SCREAMING_SNAKE_CASE__="gelu"       ,	SCREAMING_SNAKE_CASE__=0.0       ,	SCREAMING_SNAKE_CASE__=0.0       ,	SCREAMING_SNAKE_CASE__=0.02       ,	SCREAMING_SNAKE_CASE__=1E-6       ,	SCREAMING_SNAKE_CASE__=True       ,	SCREAMING_SNAKE_CASE__=False       ,	SCREAMING_SNAKE_CASE__=16       ,	SCREAMING_SNAKE_CASE__=5_12       ,	SCREAMING_SNAKE_CASE__=8       ,	SCREAMING_SNAKE_CASE__=20_48       ,	SCREAMING_SNAKE_CASE__=0.75       ,	SCREAMING_SNAKE_CASE__=0.15       ,	SCREAMING_SNAKE_CASE__="frame-level"       ,	SCREAMING_SNAKE_CASE__=True       ,	SCREAMING_SNAKE_CASE__=True       ,	SCREAMING_SNAKE_CASE__="classification"       ,	**SCREAMING_SNAKE_CASE__       ,	) ->		str:



											"""simple docstring"""




											super().__init__(**UpperCamelCase__   )

											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__						:	str									=       image_size
											SCREAMING_SNAKE_CASE__						:	List[str]									=       spectrogram_length
											SCREAMING_SNAKE_CASE__						:	List[Any]									=       frequency_length
											SCREAMING_SNAKE_CASE__						:	Any									=       image_patch_size
											SCREAMING_SNAKE_CASE__						:	Dict									=       audio_patch_size
											SCREAMING_SNAKE_CASE__						:	List[Any]									=       num_image_channels
											SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       num_audio_channels
											SCREAMING_SNAKE_CASE__						:	List[Any]									=       num_frames

											SCREAMING_SNAKE_CASE__						:	Tuple									=       hidden_size
											SCREAMING_SNAKE_CASE__						:	Any									=       num_hidden_layers
											SCREAMING_SNAKE_CASE__						:	Tuple									=       num_attention_heads
											SCREAMING_SNAKE_CASE__						:	Optional[int]									=       intermediate_size
											SCREAMING_SNAKE_CASE__						:	Any									=       hidden_act
											SCREAMING_SNAKE_CASE__						:	int									=       hidden_dropout_prob
											SCREAMING_SNAKE_CASE__						:	Optional[int]									=       attention_probs_dropout_prob
											SCREAMING_SNAKE_CASE__						:	str									=       initializer_range
											SCREAMING_SNAKE_CASE__						:	List[str]									=       layer_norm_eps
											SCREAMING_SNAKE_CASE__						:	Tuple									=       qkv_bias
											SCREAMING_SNAKE_CASE__						:	int									=       use_mean_pooling

											SCREAMING_SNAKE_CASE__						:	Dict									=       decoder_num_attention_heads
											SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       decoder_hidden_size
											SCREAMING_SNAKE_CASE__						:	Any									=       decoder_num_hidden_layers
											SCREAMING_SNAKE_CASE__						:	Tuple									=       decoder_intermediate_size
											SCREAMING_SNAKE_CASE__						:	Optional[Any]									=       pixel_mask_ratio
											SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       audio_mask_ratio
											SCREAMING_SNAKE_CASE__						:	Any									=       audio_mask_type

											SCREAMING_SNAKE_CASE__						:	Optional[int]									=       task_matching
											SCREAMING_SNAKE_CASE__						:	Union[str, Any]									=       task_mae
											SCREAMING_SNAKE_CASE__						:	int									=       loss_type






"""simple docstring"""




def lowercase_  (       _snake_case       ,_snake_case       ,_snake_case						):
							SCREAMING_SNAKE_CASE__						:	Any									=       index
							SCREAMING_SNAKE_CASE__						:	List[Any]									=       2 * index + 1
							SCREAMING_SNAKE_CASE__						:	Any									=       2 * index + 2
							if left_index < heap_size and unsorted[left_index] > unsorted[largest]:
														SCREAMING_SNAKE_CASE__						:	str									=       left_index

							if right_index < heap_size and unsorted[right_index] > unsorted[largest]:
														SCREAMING_SNAKE_CASE__						:	Any									=       right_index

							if largest != index:
														SCREAMING_SNAKE_CASE__				,				SCREAMING_SNAKE_CASE__						:	Tuple									=       unsorted[index], unsorted[largest]
														heapify(_snake_case       ,_snake_case       ,_snake_case						)

def lowercase_  (       _snake_case						):
							SCREAMING_SNAKE_CASE__						:	List[Any]									=       len(_snake_case						)
							for i in range(n // 2 - 1       ,-1       ,-1						):
														heapify(_snake_case       ,_snake_case       ,_snake_case						)
							for i in range(n - 1       ,0       ,-1						):
														SCREAMING_SNAKE_CASE__				,				SCREAMING_SNAKE_CASE__						:	Any									=       unsorted[i], unsorted[0]
														heapify(_snake_case       ,0       ,_snake_case						)
							return unsorted


if __name__ == "__main__":
					UpperCAmelCase__				:   Optional[Any]   							=			input('Enter numbers separated by a comma:\n').strip()
					UpperCAmelCase__				:   Optional[int]   							=			[int(item) for item in user_input.split(',')]
					print(heap_sort(unsorted))




