code: def augment_music_info_description(
      music_info: MusicInfo,
      merge_text_p: float = 0.0,
      drop_desc_p: float = 0.0,
      drop_other_p: float = 0.0,
  ) -> MusicInfo:
      """Augment MusicInfo description with additional metadata fields and potential dropout.
      Additional textual attributes are added given probability 'merge_text_conditions_p' and
      the original textual description is dropped from the augmented description given probability drop_desc_p.
  
      Args:
          music_info (MusicInfo): The music metadata to augment.
          merge_text_p (float): Probability of merging additional metadata to the description.
              If provided value is 0, then no merging is performed.
          drop_desc_p (float): Probability of dropping the original description on text merge.
              if provided value is 0, then no drop out is performed.
          drop_other_p (float): Probability of dropping the other fields used for text augmentation.
      Returns:
          MusicInfo: The MusicInfo with augmented textual description.
      """
  
      def is_valid_field(field_name: str, field_value: tp.Any) -> bool:
          valid_field_name = field_name in [
              "key",
              "bpm",
              "genre",
              "moods",
              "instrument",
              "keywords",
          ]
          valid_field_value = field_value is not None and isinstance(
              field_value, (int, float, str, list)
          )
          keep_field = random.uniform(0, 1) < drop_other_p
          return valid_field_name and valid_field_value and keep_field
  
      def process_value(v: tp.Any) -> str:
          if isinstance(v, (int, float, str)):
              return str(v)
          if isinstance(v, list):
              return ", ".join(v)
          else:
              raise ValueError(
                  f"Unknown type for text value! ({type(v), v})"
              )
  
      description = music_info.description
  
      metadata_text = ""
      if random.uniform(0, 1) < merge_text_p:
          meta_pairs = [
              f"{_field.name}: {process_value(getattr(music_info, _field.name))}"
              for _field in fields(music_info)
              if is_valid_field(
                  _field.name, getattr(music_info, _field.name)
              )
          ]
          random.shuffle(meta_pairs)
          metadata_text = ". ".join(meta_pairs)
          description = (
              description
              if not random.uniform(0, 1) < drop_desc_p
              else None
          )
          logger.debug(
              f"Applying text augmentation on MMI info. description: {description}, metadata: {metadata_text}"
          )
  
      if description is None:
          description = (
              metadata_text if len(metadata_text) > 1 else None
          )
      else:
          description = ". ".join(
              [description.rstrip("."), metadata_text]
          )
      description = description.strip() if description else None
  
      music_info = replace(music_info)
      music_info.description = description
      return music_info
  
imports: from dataclasses import dataclass, field, fields, replace
  import gzip
  import json
  import logging
  from pathlib import Path
  import random
  import typing
  import torch
  from .info_audio_dataset import InfoAudioDataset, AudioInfo, get_keyword_list, get_keyword, get_string
  from ..modules.conditioners import ConditioningAttributes, JointEmbedCondition, WavCondition
  from ..utils.utils import warn_once
label_desc: Use image node_id 1 for calling a global function with example usage: augment_music_info_description(music_info, merge_text_p, drop_desc_p, drop_other_p) and returns: music_info, unknown, str, str