


"""simple docstring"""







import math
from typing import Optional

import numpy as np

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


__lowercase    					=      logging.get_logger(__name__)

__lowercase    					=      {
    """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  (  _a  ):







    """simple docstring"""




    UpperCAmelCase       :							Optional[Any]	=       """encodec"""






    def __init__(					self				:    Any				, __UpperCAmelCase				:    List[Any]=[1.5, 3.0, 6.0, 12.0, 24.0]				, __UpperCAmelCase				:    str=24000				, __UpperCAmelCase				:    List[Any]=1				, __UpperCAmelCase				:    Union[str, Any]=False				, __UpperCAmelCase				:    List[str]=None				, __UpperCAmelCase				:    Dict=None				, __UpperCAmelCase				:    Optional[Any]=128				, __UpperCAmelCase				:    Any=32				, __UpperCAmelCase				:    str=1				, __UpperCAmelCase				:    str=[8, 5, 4, 2]				, __UpperCAmelCase				:    Union[str, Any]="weight_norm"				, __UpperCAmelCase				:    Tuple=7				, __UpperCAmelCase				:    Tuple=7				, __UpperCAmelCase				:    Tuple=3				, __UpperCAmelCase				:    Optional[int]=2				, __UpperCAmelCase				:    Any=True				, __UpperCAmelCase				:    str="reflect"				, __UpperCAmelCase				:    Any=2				, __UpperCAmelCase				:    int=2				, __UpperCAmelCase				:    str=1.0				, __UpperCAmelCase				:    str=1024				, __UpperCAmelCase				:    Any=None				, __UpperCAmelCase				:    Union[str, Any]=True				, **__UpperCAmelCase				:    Dict				, ):
      a						:		Any      							=			target_bandwidths
      a						:		str      							=			sampling_rate
      a						:		Union[str, Any]      							=			audio_channels
      a						:		Optional[int]      							=			normalize
      a						:		Optional[Any]      							=			chunk_length_s
      a						:		str      							=			overlap
      a						:		List[str]      							=			hidden_size
      a						:		List[str]      							=			num_filters
      a						:		Union[str, Any]      							=			num_residual_layers
      a						:		Tuple      							=			upsampling_ratios
      a						:		Tuple      							=			norm_type
      a						:		List[str]      							=			kernel_size
      a						:		Tuple      							=			last_kernel_size
      a						:		Union[str, Any]      							=			residual_kernel_size
      a						:		Union[str, Any]      							=			dilation_growth_rate
      a						:		Any      							=			use_causal_conv
      a						:		str      							=			pad_mode
      a						:		Dict      							=			compress
      a						:		Union[str, Any]      							=			num_lstm_layers
      a						:		List[Any]      							=			trim_right_ratio
      a						:		str      							=			codebook_size
      a						:		Optional[int]      							=			codebook_dim if codebook_dim is not None else hidden_size
      a						:		int      							=			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 	__snake_case							(					self				:    Union[str, Any]):
      if self.chunk_length_s is None:
        return None
      else:
        return int(self.chunk_length_s * self.sampling_rate)






    @property
    def 	__snake_case							(					self				:    Union[str, Any]):
      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				:    List[str]):
      a						:		Optional[int]      							=			np.prod(self.upsampling_ratios)
      return math.ceil(self.sampling_rate / hop_length)






    @property
    def 	__snake_case							(					self				:    List[str]):
      return int(1000 * self.target_bandwidths[-1] // (self.frame_rate * 10))










"""simple docstring"""







import unittest

from knapsack import knapsack as k






class 						_A  (  unittest.TestCase  ):







    """simple docstring"""




    def 	__snake_case							(					self				:    List[Any]):
      a						:		str      							=			0
      a						:		Optional[int]      							=			[0]
      a						:		Union[str, Any]      							=			[0]
      a						:		Any      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 0)

      a						:		List[str]      							=			[60]
      a						:		str      							=			[10]
      a						:		Optional[int]      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 0)






    def 	__snake_case							(					self				:    Optional[int]):
      a						:		Any      							=			3
      a						:		str      							=			[1, 2, 3]
      a						:		Tuple      							=			[3, 2, 1]
      a						:		Any      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 5)






    def 	__snake_case							(					self				:    Tuple):
      a						:		int      							=			50
      a						:		List[Any]      							=			[60, 100, 120]
      a						:		Optional[int]      							=			[10, 20, 30]
      a						:		str      							=			len(__UpperCAmelCase)
      self.assertEqual(k.knapsack(__UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase)				, 220)


if __name__ == "__main__":
 unittest.main()






