code: def __init__(
      self,
      mass: float = 0.9,
      filter_value: float = -float("Inf"),
      min_tokens_to_keep: int = 1,
  ):
      self.filter_value = filter_value
      self.mass = mass
      self.min_tokens_to_keep = min_tokens_to_keep
  
imports: import functools
  import math
  import os
  import fsspec
  import torch
  import torch.nn
  import torch.nn.functional
  import torchaudio
  from transformers import LogitsWarper
  from TTS.tts.layers.tortoise.xtransformers import ContinuousTransformerWrapper, RelativePositionBias
label_desc: Use image node_id 1 to create a new TypicalLogitsWarper object from inherited base classes: LogitsWarper with example: obj = TypicalLogitsWarper(mass, filter_value, min_tokens_to_keep)