





import math
from typing import Optional

import numpy as np

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


_snake_case  :    Union[str, Any]						    =  logging.get_logger(__name__)

_snake_case  :    Optional[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 				_UpperCAmelCase    (    _UpperCamelCase    ):

  """simple docstring"""


  a_        = """encodec"""






  def __init__(				self :		Dict					,  lowerCAmelCase_ :		Optional[int]=[1.5, 3.0, 6.0, 12.0, 24.0]					,  lowerCAmelCase_ :		int=2_4_0_0_0					,  lowerCAmelCase_ :		Union[str, Any]=1					,  lowerCAmelCase_ :		Optional[Any]=False					,  lowerCAmelCase_ :		Dict=None					,  lowerCAmelCase_ :		Optional[int]=None					,  lowerCAmelCase_ :		List[str]=1_2_8					,  lowerCAmelCase_ :		Optional[int]=3_2					,  lowerCAmelCase_ :		int=1					,  lowerCAmelCase_ :		Tuple=[8, 5, 4, 2]					,  lowerCAmelCase_ :		List[str]="weight_norm"					,  lowerCAmelCase_ :		Optional[Any]=7					,  lowerCAmelCase_ :		Dict=7					,  lowerCAmelCase_ :		Dict=3					,  lowerCAmelCase_ :		List[Any]=2					,  lowerCAmelCase_ :		Tuple=True					,  lowerCAmelCase_ :		Optional[Any]="reflect"					,  lowerCAmelCase_ :		List[Any]=2					,  lowerCAmelCase_ :		Any=2					,  lowerCAmelCase_ :		Any=1.0					,  lowerCAmelCase_ :		List[Any]=1_0_2_4					,  lowerCAmelCase_ :		int=None					,  lowerCAmelCase_ :		str=True					,  **lowerCAmelCase_ :		int					,  )							->						int:
     __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__(**lowerCAmelCase_     )






  @property
  def 				lowercase		(				self :		str     )							->						Optional[int]:
     if self.chunk_length_s is None:
        return None
     else:
        return int(self.chunk_length_s * self.sampling_rate     )






  @property
  def 				lowercase		(				self :		Union[str, Any]     )							->						Optional[int]:
     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 :		Any     )							->						int:
     __lowerCAmelCase								=	np.prod(self.upsampling_ratios     )
     return math.ceil(self.sampling_rate / hop_length     )






  @property
  def 				lowercase		(				self :		Optional[Any]     )							->						int:
     return int(1_0_0_0 * self.target_bandwidths[-1] // (self.frame_rate * 1_0)     )








from timeit import timeit

def   a_    ( lowerCAmelCase_      :			int	):
   if number < 0:
      raise ValueError('the value of input must not be negative'	)
   __lowerCAmelCase								=	0
   while number:
      number &= number - 1
      result += 1
   return result

def   a_    ( lowerCAmelCase_      :			int	):
   if number < 0:
      raise ValueError('the value of input must not be negative'	)
   __lowerCAmelCase								=	0
   while number:
      if number % 2 == 1:
         result += 1
      number >>= 1
   return result

def   a_    ( ):

   def do_benchmark(lowerCAmelCase_      :			int	) -> None:
      __lowerCAmelCase								=	'import __main__ as z'
      print(F"""Benchmark when {number = }:"""	)
      print(F"""{get_set_bits_count_using_modulo_operator(lowerCAmelCase_	) = }"""	)
      __lowerCAmelCase								=	timeit('z.get_set_bits_count_using_modulo_operator(25)',	setup=lowerCAmelCase_	)
      print(F"""timeit() runs in {timing} seconds"""	)
      print(F"""{get_set_bits_count_using_brian_kernighans_algorithm(lowerCAmelCase_	) = }"""	)
      __lowerCAmelCase								=	timeit(
          'z.get_set_bits_count_using_brian_kernighans_algorithm(25)',	setup=lowerCAmelCase_,	)
      print(F"""timeit() runs in {timing} seconds"""	)

   for number in (25, 37, 58, 0):
      do_benchmark(lowerCAmelCase_	)
      print()


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     benchmark()

