code: def _dummy_result(num_samples: int = 4, max_run_sec: int = 10):
      return RunnerResult(
          list(np.random.rand(num_samples) * max_run_sec + 1e-6), None
      )
  
imports: import os
  import re
  import shutil
  import tempfile
  import unittest
  from functools import partial
  from typing import List
  import numpy
  import tvm
  import tvm.testing
  from tvm.meta_schedule.cost_model import PyCostModel, RandomModel, XGBModel
  from tvm.meta_schedule.cost_model.xgb_model import PackSum, _get_custom_call_back
  from tvm.meta_schedule.feature_extractor import RandomFeatureExtractor
  from tvm.meta_schedule.runner import RunnerResult
  from tvm.meta_schedule.search_strategy import MeasureCandidate
  from tvm.meta_schedule.tune_context import TuneContext
  from tvm.meta_schedule.utils import derived_object
  from tvm.script import tir
  from tvm.tir.schedule.schedule import Schedule
label_desc: Use image node_id 7 for calling a global function with example usage: _dummy_result(num_samples, max_run_sec) and returns: RunnerResult