



import math
from typing import Optional

import numpy as np

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


A__	      =       logging.get_logger(__name__)

A__	      =       {
    """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 (     lowerCamelCase__       ):
				__lowerCamelCase =				'''encodec'''




				def __init__(							self						,				_snake_case=[1.5, 3.0, 6.0, 12.0, 24.0]						,				_snake_case=24000						,				_snake_case=1						,				_snake_case=False						,				_snake_case=None						,				_snake_case=None						,				_snake_case=128						,				_snake_case=32						,				_snake_case=1						,				_snake_case=[8, 5, 4, 2]						,				_snake_case="weight_norm"						,				_snake_case=7						,				_snake_case=7						,				_snake_case=3						,				_snake_case=2						,				_snake_case=True						,				_snake_case="reflect"						,				_snake_case=2						,				_snake_case=2						,				_snake_case=1.0						,				_snake_case=1024						,				_snake_case=None						,				_snake_case=True						,				**_snake_case						,				):



									"""simple docstring"""





									_lowerCAmelCase						=    target_bandwidths
									_lowerCAmelCase						=    sampling_rate
									_lowerCAmelCase						=    audio_channels
									_lowerCAmelCase						=    normalize
									_lowerCAmelCase						=    chunk_length_s
									_lowerCAmelCase						=    overlap
									_lowerCAmelCase						=    hidden_size
									_lowerCAmelCase						=    num_filters
									_lowerCAmelCase						=    num_residual_layers
									_lowerCAmelCase						=    upsampling_ratios
									_lowerCAmelCase						=    norm_type
									_lowerCAmelCase						=    kernel_size
									_lowerCAmelCase						=    last_kernel_size
									_lowerCAmelCase						=    residual_kernel_size
									_lowerCAmelCase						=    dilation_growth_rate
									_lowerCAmelCase						=    use_causal_conv
									_lowerCAmelCase						=    pad_mode
									_lowerCAmelCase						=    compress
									_lowerCAmelCase						=    num_lstm_layers
									_lowerCAmelCase						=    trim_right_ratio
									_lowerCAmelCase						=    codebook_size
									_lowerCAmelCase						=    codebook_dim if codebook_dim is not None else hidden_size
									_lowerCAmelCase						=    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__(**_snake_case		)




				@property
				def 							snake_case   (							self		):



									"""simple docstring"""





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




				@property
				def 							snake_case   (							self		):



									"""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 							snake_case   (							self		):



									"""simple docstring"""





									_lowerCAmelCase						=    np.prod(self.upsampling_ratios		)
									return math.ceil(self.sampling_rate / hop_length		)




				@property
				def 							snake_case   (							self		):



									"""simple docstring"""





									return int(1000 * self.target_bandwidths[-1] // (self.frame_rate * 10)		)




def       _snake_case	(   lowerCAmelCase							:   int   , lowerCAmelCase							:   int	):
		"""simple docstring"""







		while b:
				SCREAMING_SNAKE_CASE_      ,    SCREAMING_SNAKE_CASE_  :		int				      =    b, a % b
		return a




def       _snake_case	(   lowerCAmelCase							:   int   , lowerCAmelCase							:   int	):
		"""simple docstring"""







		return a if b == 0 else euclidean_gcd_recursive(lowerCAmelCase   , a % b	)




def       _snake_case	(   ):
		"""simple docstring"""







		print(f'euclidean_gcd(3, 5) = {euclidean_gcd(3   , 5	)}'	)
		print(f'euclidean_gcd(5, 3) = {euclidean_gcd(5   , 3	)}'	)
		print(f'euclidean_gcd(1, 3) = {euclidean_gcd(1   , 3	)}'	)
		print(f'euclidean_gcd(3, 6) = {euclidean_gcd(3   , 6	)}'	)
		print(f'euclidean_gcd(6, 3) = {euclidean_gcd(6   , 3	)}'	)

		print(f'euclidean_gcd_recursive(3, 5) = {euclidean_gcd_recursive(3   , 5	)}'	)
		print(f'euclidean_gcd_recursive(5, 3) = {euclidean_gcd_recursive(5   , 3	)}'	)
		print(f'euclidean_gcd_recursive(1, 3) = {euclidean_gcd_recursive(1   , 3	)}'	)
		print(f'euclidean_gcd_recursive(3, 6) = {euclidean_gcd_recursive(3   , 6	)}'	)
		print(f'euclidean_gcd_recursive(6, 3) = {euclidean_gcd_recursive(6   , 3	)}'	)


if __name__ == "__main__":
		main()
