


"""simple docstring"""
import math
from typing import Optional

import numpy as np

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


__SCREAMING_SNAKE_CASE							:    Dict		=    logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE							:    Union[str, 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      __A     (snake_case__):





							'''simple docstring'''

							__lowercase:		str							      =    """encodec"""



							def __init__(				self							:      Optional[Any]		,       UpperCAmelCase_							:      int=[1.5, 3.0, 6.0, 12.0, 24.0]		,       UpperCAmelCase_							:      Dict=24_000		,       UpperCAmelCase_							:      List[str]=1		,       UpperCAmelCase_							:      Tuple=False		,       UpperCAmelCase_							:      Tuple=None		,       UpperCAmelCase_							:      Optional[Any]=None		,       UpperCAmelCase_							:      Dict=128		,       UpperCAmelCase_							:      int=32		,       UpperCAmelCase_							:      Tuple=1		,       UpperCAmelCase_							:      Any=[8, 5, 4, 2]		,       UpperCAmelCase_							:      Union[str, Any]="weight_norm"		,       UpperCAmelCase_							:      Dict=7		,       UpperCAmelCase_							:      str=7		,       UpperCAmelCase_							:      int=3		,       UpperCAmelCase_							:      List[str]=2		,       UpperCAmelCase_							:      List[Any]=True		,       UpperCAmelCase_							:      Tuple="reflect"		,       UpperCAmelCase_							:      List[Any]=2		,       UpperCAmelCase_							:      Dict=2		,       UpperCAmelCase_							:      Union[str, Any]=1.0		,       UpperCAmelCase_							:      List[str]=1_024		,       UpperCAmelCase_							:      int=None		,       UpperCAmelCase_							:      str=True		,       **UpperCAmelCase_							:      str		,       )					->Optional[Any]:



														"""simple docstring"""



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



							@property
							def 		lowerCAmelCase       (				self							:      List[Any]       )					->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 		lowerCAmelCase       (				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 		lowerCAmelCase       (				self							:      Any       )					->int:



														"""simple docstring"""



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



							@property
							def 		lowerCAmelCase       (				self							:      Optional[Any]       )					->int:



														"""simple docstring"""



														return int(1_000 * self.target_bandwidths[-1] // (self.frame_rate * 10)       )







"""simple docstring"""
def 						_a				(      _SCREAMING_SNAKE_CASE				)    ->				list:

							# bit count represents no. of bits in the gray code
							if bit_count < 0:
														raise ValueError("""The given input must be positive"""				)

							# get the generated string sequence
							snake_case_           =		gray_code_sequence_string(_SCREAMING_SNAKE_CASE				)
							#
							# convert them to integers
							for i in range(len(_SCREAMING_SNAKE_CASE				)				):
														snake_case_           =		int(sequence[i]				, 2				)

							return sequence







def 						_a				(      _SCREAMING_SNAKE_CASE				)    ->				list:

							# The approach is a recursive one
							# Base case achieved when either n = 0 or n=1
							if bit_count == 0:
														return ["0"]

							if bit_count == 1:
														return ["0", "1"]

							snake_case_           =		1 << bit_count  # defines the length of the sequence
							# 1<< n is equivalent to 2^n

							# recursive answer will generate answer for n-1 bits
							snake_case_           =		gray_code_sequence_string(bit_count - 1				)

							snake_case_           =		[]

							# append 0 to first half of the smaller sequence generated
							for i in range(seq_len // 2				):
														snake_case_           =		"""0""" + smaller_sequence[i]
														sequence.append(_SCREAMING_SNAKE_CASE				)

							# append 1 to second half ... start from the end of the list
							for i in reversed(range(seq_len // 2				)				):
														snake_case_           =		"""1""" + smaller_sequence[i]
														sequence.append(_SCREAMING_SNAKE_CASE				)

							return sequence


if __name__ == "__main__":
				import doctest

				doctest.testmod()



