code: def __init__(
      self,
      rule_name,
      output_lines_of_make: List[str],
      recipe_step_names: List[str],
  ):
      steps_to_run = self._parse_output_lines(output_lines_of_make)
      self.steps_cached = self._infer_cached_steps(
          rule_name, steps_to_run, recipe_step_names
      )
  
imports: import hashlib
  import logging
  import os
  import pathlib
  import re
  import shutil
  from typing import Dict, List
  from mlflow.environment_variables import MLFLOW_RECIPES_EXECUTION_DIRECTORY, MLFLOW_RECIPES_EXECUTION_TARGET_STEP_NAME
  from mlflow.recipes.step import BaseStep, StepStatus
  from mlflow.utils.file_utils import read_yaml, write_yaml
  from mlflow.utils.process import _exec_cmd
label_desc: Use image node_id 1 to create a new _ExecutionPlan object  with example: obj = _ExecutionPlan(rule_name, output_lines_of_make, recipe_step_names)