

'''simple docstring'''



import math
from typing import Optional

import numpy as np

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


__snake_case			:     str										=      logging.get_logger(__name__)

__snake_case			:     List[Any]										=      {
    'facebook/encodec_24khz': 'https://huggingface.co/facebook/encodec_24khz/resolve/main/config.json',
    'facebook/encodec_48khz': 'https://huggingface.co/facebook/encodec_48khz/resolve/main/config.json',
}



class lowerCamelCase			(  lowercase_						):



			'''simple docstring'''






			__snake_case        =	'encodec'


			def __init__(				self	:						Union[str, Any]		,      lowerCAmelCase_	:						Any=[1.5, 3.0, 6.0, 12.0, 24.0]		,      lowerCAmelCase_	:						str=2_40_00		,      lowerCAmelCase_	:						int=1		,      lowerCAmelCase_	:						Dict=False		,      lowerCAmelCase_	:						Tuple=None		,      lowerCAmelCase_	:						int=None		,      lowerCAmelCase_	:						str=1_28		,      lowerCAmelCase_	:						Tuple=32		,      lowerCAmelCase_	:						Optional[int]=1		,      lowerCAmelCase_	:						Optional[int]=[8, 5, 4, 2]		,      lowerCAmelCase_	:						List[Any]="weight_norm"		,      lowerCAmelCase_	:						Optional[Any]=7		,      lowerCAmelCase_	:						Tuple=7		,      lowerCAmelCase_	:						List[Any]=3		,      lowerCAmelCase_	:						List[Any]=2		,      lowerCAmelCase_	:						int=True		,      lowerCAmelCase_	:						Tuple="reflect"		,      lowerCAmelCase_	:						List[Any]=2		,      lowerCAmelCase_	:						Optional[int]=2		,      lowerCAmelCase_	:						List[Any]=1.0		,      lowerCAmelCase_	:						int=10_24		,      lowerCAmelCase_	:						Optional[Any]=None		,      lowerCAmelCase_	:						str=True		,      **lowerCAmelCase_	:						Tuple		,      )      ->		Union[str, Any]:





									'''simple docstring'''
									A__					:       List[str]     =target_bandwidths
									A__					:       List[str]     =sampling_rate
									A__					:       Union[str, Any]     =audio_channels
									A__					:       Any     =normalize
									A__					:       Union[str, Any]     =chunk_length_s
									A__					:       List[Any]     =overlap
									A__					:       Tuple     =hidden_size
									A__					:       Dict     =num_filters
									A__					:       Optional[int]     =num_residual_layers
									A__					:       List[str]     =upsampling_ratios
									A__					:       Optional[int]     =norm_type
									A__					:       List[Any]     =kernel_size
									A__					:       List[Any]     =last_kernel_size
									A__					:       Any     =residual_kernel_size
									A__					:       List[Any]     =dilation_growth_rate
									A__					:       List[Any]     =use_causal_conv
									A__					:       Dict     =pad_mode
									A__					:       List[Any]     =compress
									A__					:       Tuple     =num_lstm_layers
									A__					:       List[Any]     =trim_right_ratio
									A__					:       int     =codebook_size
									A__					:       Tuple     =codebook_dim if codebook_dim is not None else hidden_size
									A__					:       List[str]     =use_conv_shortcut

									if self.norm_type not in ["weight_norm", "time_group_norm"]:
															raise ValueError(
															    f"self.norm_type must be one of `\"weight_norm\"`, `\"time_group_norm\"`), got {self.norm_type}"			)

									super().__init__(**lowerCAmelCase_			)


			@property
			def lowercase__						(				self	:						Dict			)      ->		Optional[int]:





									'''simple docstring'''
									if self.chunk_length_s is None:
															return None
									else:
															return int(self.chunk_length_s * self.sampling_rate			)


			@property
			def lowercase__						(				self	:						str			)      ->		Optional[int]:





									'''simple docstring'''
									if self.chunk_length_s is None or self.overlap is None:
															return None
									else:
															return max(1		,      int((1.0 - self.overlap) * self.chunk_length			)			)


			@property
			def lowercase__						(				self	:						Union[str, Any]			)      ->		int:





									'''simple docstring'''
									A__					:       Optional[int]     =np.prod(self.upsampling_ratios			)
									return math.ceil(self.sampling_rate / hop_length			)



			@property
			def lowercase__						(				self	:						int			)      ->		int:





									'''simple docstring'''
									return int(10_00 * self.target_bandwidths[-1] // (self.frame_rate * 10)			)




'''simple docstring'''



import math

__snake_case			:     List[Any]										=      10
__snake_case			:     Dict										=      7
__snake_case			:     str										=      BALLS_PER_COLOUR * NUM_COLOURS
def 						__lowerCamelCase	(       __snake_case					:		int = 20	)	->							str:






						"""simple docstring"""





						A__					:       Union[str, Any]     =math.comb(__snake_case,		__snake_case	)
						A__					:       str     =math.comb(NUM_BALLS - BALLS_PER_COLOUR,		__snake_case	)

						A__					:       Optional[int]     =NUM_COLOURS * (1 - missing_colour / total)

						return f"{result:.9f}"


if __name__ == "__main__":
		print(solution(20))

