code: def get_top_k(
      self, workload: ms.database.Workload, top_k: int
  ) -> List[TuningRecord]:
      return sorted(
          list(
              filter(
                  lambda x: tvm.ir.structural_equal(
                      workload.mod, x.workload.mod
                  ),
                  self.tuning_records_,
              )
          ),
          key=lambda x: sum(x.run_secs) / len(x.run_secs)
          if x.run_secs
          else 1e9,
      )[:top_k]
  
imports: import os.path
  import tempfile
  from typing import Callable, List, Optional
  import pytest
  import tvm
  import tvm.testing
  from tvm import meta_schedule
  from tvm import relay, tir
  from tvm.ir.module import IRModule
  from tvm.meta_schedule.database import TuningRecord, Workload
  from tvm.script import tir
  from tvm.target import Target
  from tvm.tir import Schedule
label_desc: Use image node_id 6 for calling the PyMemoryDatabaseDefault obj's underlying member method code with example usage: obj.get_top_k(workload, top_k) and returns: sorted