code: def __init__(self, base: Path = Path("/opt/ml")) -> None:
      self.base = base.expanduser().resolve()
      self.input = self.base / "input"
      self.config = self.base / "input" / "config"
      self.data = self.base / "input" / "data"
      self.model = self.base / "model"
      self.output = self.base / "output"
      self.failure = self.output / "failure"
  
      self.hyperparameters = self.config / "hyperparameters.json"
      self.inputdataconfig = self.config / "inputdataconfig.json"
      self.resourceconfig = self.config / "resourceconfig.json"
  
      self.config.mkdir(parents=True, exist_ok=True)
      self.data.mkdir(parents=True, exist_ok=True)
      self.model.mkdir(parents=True, exist_ok=True)
      self.output.mkdir(parents=True, exist_ok=True)
  
imports: import json
  import shutil
  from pathlib import Path
  from typing import Dict, Optional, Tuple
  from gluonts.pydantic import BaseModel
  from .dyn import install_and_restart
  from .params import decode_sagemaker_parameters
  from .nested_params import decode_nested_parameters
label_desc: Use image node_id 1 to create a new TrainPaths object  with example: obj = TrainPaths(base)