class_docstr: Represents execution state for a step, including the current status and
  the time of the last status update.
docstr: Creates a ``StepExecutionState`` instance from the specified execution state dictionary.
docstr_tok: ["Creates","a","``","StepExecutionState","``","instance","from","the","specified","execution","state","dictionary","."]
code: def from_dict(cls, state_dict) -> "StepExecutionState":
      """
      Creates a ``StepExecutionState`` instance from the specified execution state dictionary.
      """
      return cls(
          status=StepStatus[state_dict[StepExecutionState._KEY_STATUS]],
          last_updated_timestamp=state_dict[
              StepExecutionState._KEY_LAST_UPDATED_TIMESTAMP
          ],
          stack_trace=state_dict[StepExecutionState._KEY_STACK_TRACE],
      )
  
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 3 for calling the StepExecutionState obj's underlying member method code with example usage: obj.from_dict(cls, state_dict) and returns: cls