code: def _get_sensor(name):
      # from airflow import XComArg
      # XComArg()
      if name == SensorNames.EXTERNAL_TASK_SENSOR:
          # ExternalTaskSensors uses an execution_date of a dag to
          # determine the appropriate DAG.
          # This is set to the exact date the current dag gets executed on.
          # For example if "DagA" (Upstream DAG) got scheduled at
          # 12 Jan 4:00 PM PDT then "DagB"(current DAG)'s task sensor will try to
          # look for a "DagA" that got executed at 12 Jan 4:00 PM PDT **exactly**.
          # They also support a `execution_timeout` argument to
          from airflow.sensors.external_task_sensor import (
              ExternalTaskSensor,
          )
  
          return ExternalTaskSensor
      elif name == SensorNames.S3_SENSOR:
          try:
              from airflow.providers.amazon.aws.sensors.s3 import (
                  S3KeySensor,
              )
          except ImportError:
              raise AirflowSensorNotFound(
                  "This DAG requires a `S3KeySensor`. "
                  "Install the Airflow AWS provider using : "
                  "`pip install apache-airflow-providers-amazon`"
              )
          return S3KeySensor
  
imports: import hashlib
  import json
  import sys
  import platform
  from collections import defaultdict
  from datetime import datetime, timedelta
label_desc: Use image node_id 14 for calling a global function with example usage: _get_sensor(name) and returns: ExternalTaskSensor, S3KeySensor