





"""simple docstring"""





import math
from typing import Optional

import numpy as np

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


lowercase__				:str				   =       logging.get_logger(__name__)

lowercase__				: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 							snake_case							(			__a ):

						'''simple docstring'''



						_A     :       List[str]         =       '''encodec'''

						def __init__(							self       :      List[Any]						,				__lowercase       :      str=[1.5, 3.0, 6.0, 1_2.0, 2_4.0]						,				__lowercase       :      int=24_000						,				__lowercase       :      Any=1						,				__lowercase       :      Optional[int]=False						,				__lowercase       :      Tuple=None						,				__lowercase       :      Optional[int]=None						,				__lowercase       :      str=128						,				__lowercase       :      Tuple=32						,				__lowercase       :      Optional[int]=1						,				__lowercase       :      Dict=[8, 5, 4, 2]						,				__lowercase       :      List[Any]="weight_norm"						,				__lowercase       :      Union[str, Any]=7						,				__lowercase       :      Optional[int]=7						,				__lowercase       :      List[Any]=3						,				__lowercase       :      Optional[int]=2						,				__lowercase       :      List[str]=True						,				__lowercase       :      str="reflect"						,				__lowercase       :      int=2						,				__lowercase       :      Union[str, Any]=2						,				__lowercase       :      str=1.0						,				__lowercase       :      str=1_024						,				__lowercase       :      str=None						,				__lowercase       :      List[Any]=True						,				**__lowercase       :      Any						,				):


								'''simple docstring'''




								__UpperCAmelCase    :						Dict       =						target_bandwidths
								__UpperCAmelCase    :						List[str]       =						sampling_rate
								__UpperCAmelCase    :						Tuple       =						audio_channels
								__UpperCAmelCase    :						int       =						normalize
								__UpperCAmelCase    :						Optional[Any]       =						chunk_length_s
								__UpperCAmelCase    :						List[Any]       =						overlap
								__UpperCAmelCase    :						List[Any]       =						hidden_size
								__UpperCAmelCase    :						str       =						num_filters
								__UpperCAmelCase    :						Tuple       =						num_residual_layers
								__UpperCAmelCase    :						Optional[Any]       =						upsampling_ratios
								__UpperCAmelCase    :						Dict       =						norm_type
								__UpperCAmelCase    :						Optional[int]       =						kernel_size
								__UpperCAmelCase    :						int       =						last_kernel_size
								__UpperCAmelCase    :						Union[str, Any]       =						residual_kernel_size
								__UpperCAmelCase    :						Any       =						dilation_growth_rate
								__UpperCAmelCase    :						str       =						use_causal_conv
								__UpperCAmelCase    :						Optional[Any]       =						pad_mode
								__UpperCAmelCase    :						List[Any]       =						compress
								__UpperCAmelCase    :						str       =						num_lstm_layers
								__UpperCAmelCase    :						Optional[int]       =						trim_right_ratio
								__UpperCAmelCase    :						str       =						codebook_size
								__UpperCAmelCase    :						List[Any]       =						codebook_dim if codebook_dim is not None else hidden_size
								__UpperCAmelCase    :						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__(**snake_case__ )

						@property
						def       A_					(							self       :      Any ):


								'''simple docstring'''




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

						@property
						def       A_					(							self       :      str ):


								'''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       A_					(							self       :      Optional[int] ):


								'''simple docstring'''




								__UpperCAmelCase    :						Any       =						np.prod(self.upsampling_ratios )
								return math.ceil(self.sampling_rate / hop_length )







						@property
						def       A_					(							self       :      str ):


								'''simple docstring'''




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






"""simple docstring"""





from __future__ import annotations

from collections.abc import Callable
from typing import Any, Generic, TypeVar

lowercase__				:int				   =       TypeVar('T')




class 							snake_case							(			Generic[T] ):

      '''simple docstring'''



      def __init__(							self       :      Optional[Any]						,				__lowercase       :      list[T]						,				__lowercase       :      Callable[[T, T], T] ):


        '''simple docstring'''




        __UpperCAmelCase    :						Any | T       =						None

        __UpperCAmelCase    :						int       =						len(__lowercase )
        __UpperCAmelCase    :						list[T]       =						[any_type for _ in range(self.N )] + arr
        __UpperCAmelCase    :						List[Any]       =						fnc
        self.build()

      def       A_					(							self       :      str ):


        '''simple docstring'''




        for p in range(self.N - 1						,				0						,				-1 ):
          __UpperCAmelCase    :						Any       =						self.fn(self.st[p * 2]						,				self.st[p * 2 + 1] )

      def       A_					(							self       :      Union[str, Any]						,				__lowercase       :      int						,				__lowercase       :      T ):


        '''simple docstring'''




        p += self.N
        __UpperCAmelCase    :						Tuple       =						v
        while p > 1:
          __UpperCAmelCase    :						Union[str, Any]       =						p // 2
          __UpperCAmelCase    :						Any       =						self.fn(self.st[p * 2]						,				self.st[p * 2 + 1] )







      def       A_					(							self       :      str						,				__lowercase       :      int						,				__lowercase       :      int ):  # noqa: E741


        '''simple docstring'''




        __UpperCAmelCase       ,     __UpperCAmelCase    :						int       =						l + self.N, r + self.N

        __UpperCAmelCase    :						T | None       =						None
        while l <= r:
          if l % 2 == 1:
            __UpperCAmelCase    :						Any       =						self.st[l] if res is None else self.fn(__lowercase						,				self.st[l] )
          if r % 2 == 0:
            __UpperCAmelCase    :						Any       =						self.st[r] if res is None else self.fn(__lowercase						,				self.st[r] )
          __UpperCAmelCase       ,     __UpperCAmelCase    :						Any       =						(l + 1) // 2, (r - 1) // 2
        return res


if __name__ == "__main__":
  from functools import reduce

  lowercase__				:Any				   =       [1, 1_0, -2, 9, -3, 8, 4, -7, 5, 6, 1_1, -1_2]

  lowercase__				:List[Any]				   =       {
      0: 7,
      1: 2,
      2: 6,
      3: -1_4,
      4: 5,
      5: 4,
      6: 7,
      7: -1_0,
      8: 9,
      9: 1_0,
      1_0: 1_2,
      1_1: 1,
  }

  lowercase__				:List[str]				   =       SegmentTree(test_array, min)
  lowercase__				:List[str]				   =       SegmentTree(test_array, max)
  lowercase__				:Tuple				   =       SegmentTree(test_array, lambda a, b: a + b)


  def       lowerCamelCase_       (   )						->None:





    """simple docstring"""


    for i in range(len(UpperCAmelCase_  )  ):
      for j in range(UpperCAmelCase_  ,			len(UpperCAmelCase_  )  ):
        __UpperCAmelCase    :						Optional[Any]       =						reduce(UpperCAmelCase_  ,			test_array[i : j + 1]  )
        __UpperCAmelCase    :						Optional[int]       =						reduce(UpperCAmelCase_  ,			test_array[i : j + 1]  )
        __UpperCAmelCase    :						Union[str, Any]       =						reduce(lambda UpperCAmelCase_  ,			UpperCAmelCase_  : a + b  ,			test_array[i : j + 1]  )
        assert min_range == min_segment_tree.query(UpperCAmelCase_  ,			UpperCAmelCase_  )
        assert max_range == max_segment_tree.query(UpperCAmelCase_  ,			UpperCAmelCase_  )
        assert sum_range == sum_segment_tree.query(UpperCAmelCase_  ,			UpperCAmelCase_  )

  test_all_segments()

  for index, value in test_updates.items():
    lowercase__				:Optional[Any]				   =       value
    min_segment_tree.update(index, value)
    max_segment_tree.update(index, value)
    sum_segment_tree.update(index, value)
    test_all_segments()