code: def _check_all_data_available(target: Path) -> bool:
      return (
          (target / "config.json").exists()
          and (target / "performance.json").exists()
          and (target / "forecasts").exists()
          and len(os.listdir(target / "forecasts")) in (1, 11)
      )
  
imports: from __future__ import annotations
  import json
  import math
  import os
  import shutil
  from pathlib import Path
  from typing import Any, cast, Dict, List, Optional, Union
  import numpy
  from tsbench.config import MODEL_REGISTRY
  from tsbench.evaluations.aws import Analysis, TrainingJob
  from tsbench.evaluations.metrics import Metric, Performance
  from tsbench.forecasts import QuantileForecasts
label_desc: Use image node_id 5 for calling a global function with example usage: _check_all_data_available(target) and returns: unknown