class_docstr: Serializable representation of the TaskInstance ORM SqlAlchemyModel used by internal API.
class_docstr_tok: ["Serializable","representation","of","the","TaskInstance","ORM","SqlAlchemyModel","used","by","internal","API","."]
docstr: Execute Task (optionally with a Timeout) and push Xcom results.
  
  :param context: Jinja2 context
  :param task_orig: origin task
docstr_tok: ["Execute","Task","(","optionally","with","a","Timeout",")","and","push","Xcom","results",".",":","param","context",":","Jinja2","context",":","param","task_orig",":","origin","task"]
code: def _execute_task(self, context, task_orig):
      """
      Execute Task (optionally with a Timeout) and push Xcom results.
  
      :param context: Jinja2 context
      :param task_orig: origin task
      """
      from airflow.models.taskinstance import _execute_task
  
      return _execute_task(
          task_instance=self, context=context, task_orig=task_orig
      )
  
imports: from __future__ import annotations
  from datetime import datetime
  from typing import TYPE_CHECKING, Any, Iterable, Optional
  from pydantic import BaseModel, ConfigDict, PlainSerializer, PlainValidator
  from typing_extensions import Annotated
  from airflow.models import Operator
  from airflow.models.baseoperator import BaseOperator
  from airflow.models.taskinstance import TaskInstance
  from airflow.serialization.pydantic.dag import DagModelPydantic
  from airflow.serialization.pydantic.dag_run import DagRunPydantic
  from airflow.utils.log.logging_mixin import LoggingMixin
  from airflow.utils.net import get_hostname
  from airflow.utils.session import NEW_SESSION, provide_session
  from airflow.utils.xcom import XCOM_RETURN_KEY
label_desc: Use image node_id 5 for calling the TaskInstancePydantic obj's underlying member method code with example usage: obj._execute_task(context, task_orig) and returns: _execute_task