code: def create_task_instance(dag_maker, create_dummy_dag):
      """Create a TaskInstance, and associated DB rows (DagRun, DagModel, etc).
  
      Uses ``create_dummy_dag`` to create the dag structure.
      """
  
      def maker(
          execution_date=None,
          dagrun_state=None,
          state=None,
          run_id=None,
          run_type=None,
          data_interval=None,
          map_index=-1,
          **kwargs,
      ) -> TaskInstance:
          if execution_date is None:
              from airflow.utils import timezone
  
              execution_date = timezone.utcnow()
          _, task = create_dummy_dag(with_dagrun_type=None, **kwargs)
  
          dagrun_kwargs = {
              "execution_date": execution_date,
              "state": dagrun_state,
          }
          if run_id is not None:
              dagrun_kwargs["run_id"] = run_id
          if run_type is not None:
              dagrun_kwargs["run_type"] = run_type
          if data_interval is not None:
              dagrun_kwargs["data_interval"] = data_interval
          dagrun = dag_maker.create_dagrun(**dagrun_kwargs)
          (ti,) = dagrun.task_instances
          ti.task = task
          ti.state = state
          ti.map_index = map_index
  
          dag_maker.session.flush()
          return ti
  
      return maker
  
imports: from __future__ import annotations
  import json
  import os
  import platform
  import subprocess
  import sys
  import warnings
  from contextlib import ExitStack, suppress
  from datetime import datetime, timedelta
  from pathlib import Path
  from typing import TYPE_CHECKING
  import pytest
  import time_machine
  from itsdangerous import URLSafeSerializer
label_desc: Use image node_id 29 for calling a global function with example usage: create_task_instance(dag_maker, create_dummy_dag) and returns: maker, ti