class_docstr: Executor class to execute CreateModelStep locally
class_docstr_tok: ["Executor","class","to","execute","CreateModelStep","locally"]
code: def execute(self):
      model_name = unique_name_from_base(self.step.name)
      step_arguments = self.pipline_executor.evaluate_step_arguments(
          self.step
      )
      try:
          self.pipline_executor.local_sagemaker_client.create_model(
              model_name, **step_arguments
          )
          return self.pipline_executor.local_sagemaker_client.describe_model(
              model_name
          )
      except Exception as e:  # pylint: disable=W0703
          self.pipline_executor.execution.update_step_failure(
              self.step.name, f"{type(e).__name__}: {str(e)}"
          )
  
imports: from __future__ import absolute_import
  from abc import ABC, abstractmethod
  import json
  from datetime import datetime
  from typing import Dict, List, Union
  from botocore.exceptions import ClientError
  from sagemaker.workflow.conditions import ConditionTypeEnum
  from sagemaker.workflow.function_step import DelayedReturn
  from sagemaker.workflow.steps import StepTypeEnum, Step
  from sagemaker.workflow.step_collections import StepCollection
  from sagemaker.workflow.entities import PipelineVariable
  from sagemaker.workflow.parameters import Parameter
  from sagemaker.workflow.functions import Join, JsonGet, PropertyFile
  from sagemaker.workflow.properties import Properties
  from sagemaker.workflow.execution_variables import ExecutionVariable, ExecutionVariables
  from sagemaker.workflow.pipeline import PipelineGraph
  from sagemaker.local.exceptions import StepExecutionException
  from sagemaker.local.utils import get_using_dot_notation
  from sagemaker.utils import unique_name_from_base
  from sagemaker.s3 import parse_s3_url, s3_path_join
label_desc: Use image node_id 1 for calling the _CreateModelStepExecutor obj's underlying member method code with example usage: obj.execute() and returns: self