code: def __init__(
      self,
      sr: int,
      threshold: float = -40.0,
      min_length: int = 5000,
      min_interval: int = 300,
      hop_size: int = 20,
      max_sil_kept: int = 5000,
  ):
      if not min_length >= min_interval >= hop_size:
          raise ValueError(
              "The following condition must be satisfied: min_length >= min_interval >= hop_size"
          )
      if not max_sil_kept >= hop_size:
          raise ValueError(
              "The following condition must be satisfied: max_sil_kept >= hop_size"
          )
      min_interval = sr * min_interval / 1000
      self.threshold = 10 ** (threshold / 20.0)
      self.hop_size = round(sr * hop_size / 1000)
      self.win_size = min(round(min_interval), 4 * self.hop_size)
      self.min_length = round(sr * min_length / 1000 / self.hop_size)
      self.min_interval = round(min_interval / self.hop_size)
      self.max_sil_kept = round(
          sr * max_sil_kept / 1000 / self.hop_size
      )
  
imports: import math
  from typing import Optional, Tuple
  from tinygrad import Tensor, dtypes
  import librosa
  import soundfile
  import numpy
  import parselmouth
label_desc: Use image node_id 1 to create a new Slicer object  with example: obj = Slicer(sr, threshold, min_length, min_interval, hop_size, max_sil_kept)