class_docstr: Base class representing a step in an MLflow Recipe
docstr: Returns environment variables associated with step that should be set when the
  step is executed.
docstr_tok: ["Returns","environment","variables","associated","with","step","that","should","be","set","when","the","step","is","executed","."]
code: def environment(self) -> Dict[str, str]:
      """
      Returns environment variables associated with step that should be set when the
      step is executed.
      """
      return {}
  
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 10 for calling the BaseStep obj's underlying member method code with example usage: obj.environment() and returns: dict