code: def _write_data_to_file(file: Path, data: Tuple) -> None:
      file.parent.mkdir(parents=True, exist_ok=True)
      with file.open("w") as f:
          content = "\n".join([json.dumps(d) for d in data])
          f.write(content + "\n")
  
imports: from dataclasses import dataclass, asdict
  from typing import Optional, Literal, Tuple
  from pathlib import Path
  from tqdm.auto import tqdm
  import json
  import numpy
  import random
  import pytorch_lightning
  from gluonts.dataset.field_names import FieldName
  from gluonts.dataset.repository.datasets import get_dataset, materialize_dataset
  from torch.utils.data import DataLoader
  from sklearn.gaussian_process import GaussianProcessRegressor
  from sklearn.gaussian_process.kernels import RBF
  import warnings
  from meta.data.batch import TripletBatch
  from meta.datasets.splits import DatasetSplits
  from meta.data.sampling import TripletDataset
  from meta.datasets.registry import register_data_module
label_desc: Use image node_id 1 for calling a global function with example usage: _write_data_to_file(file, data) without return types