class_docstr: Base class representing a step in an MLflow Recipe
docstr: This function is responsible for validating and loading the step config for
  a particular step. It is invoked by the internal step runner.
docstr_tok: ["This","function","is","responsible","for","validating","and","loading","the","step","config","for","a","particular","step",".","It","is","invoked","by","the","internal","step","runner","."]
code: def _validate_and_apply_step_config(self) -> None:
      """
      This function is responsible for validating and loading the step config for
      a particular step. It is invoked by the internal step runner.
      """
      pass
  
imports: import abc
  import json
  import logging
  import os
  import time
  import traceback
  from enum import Enum
  from typing import Any, Dict, List, Optional
  import yaml
  from mlflow.recipes.cards import CARD_HTML_NAME, CARD_PICKLE_NAME, BaseCard, FailureCard
  from mlflow.recipes.utils import get_recipe_name
  from mlflow.recipes.utils.step import display_html
  from mlflow.tracking import MlflowClient
  from mlflow.utils.databricks_utils import is_in_databricks_runtime
label_desc: Use image node_id 6 for calling the BaseStep obj's underlying member method code with example usage: obj._validate_and_apply_step_config() without return types