text: # Licensed to the Apache Software Foundation (ASF) under one
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  # to you under the Apache License, Version 2.0 (the
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  #
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  #
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  """test the correctness of dump and load of data log"""
  import time
  
  import tvm
  from tvm import te
  from tvm.contrib import utils
  
  from tvm import autotvm
  from tvm.autotvm.measure import MeasureInput, MeasureResult, MeasureErrorNo
  from tvm.autotvm.record import encode, decode, ApplyHistoryBest, measure_str_key
  
  from tvm.testing.autotvm import get_sample_task
  
  
  def test_load_dump():
      task, target = get_sample_task()
  
      inp = MeasureInput(target, task, task.config_space.get(0))
      result = MeasureResult(
          (2.0, 2.23, 0.23, 0.123, 0.234, 0.123), MeasureErrorNo.NO_ERROR, 2.3, time.time()
      )
  
      for protocol in ["json", "pickle"]:
          row = encode(inp, result, protocol=protocol)
          inp_2, result_2 = decode(row, protocol=protocol)
  
          assert measure_str_key(inp) == measure_str_key(inp_2), "%s vs %s" % (
              measure_str_key(inp),
              measure_str_key(inp_2),
          )
          assert result.costs == result_2.costs
          assert result.error_no == result_2.error_no
          assert result.timestamp == result_2.timestamp
  
  
  def test_file_io():
      temp = utils.tempdir()
      file_path = temp.relpath("temp.log")
  
      tsk, target = get_sample_task()
      inputs = [MeasureInput(target, tsk, tsk.config_space.get(i)) for i in range(0, 10)]
      results = [MeasureResult((i,), 0, 0, 0) for i in range(0, 10)]
  
      invalid_inp = MeasureInput(target, tsk, tsk.config_space.get(10))
      invalid_res = MeasureResult((10,), 0, 0, 0)
  
      # Erase the entity map to test if it will be ignored when loading back.
      invalid_inp.config._entity_map = {}
  
      with open(file_path, "w") as fo:
          cb = autotvm.callback.log_to_file(fo)
          cb(None, inputs, results)
          cb(None, [invalid_inp], [invalid_res])
  
      ref = zip(inputs, results)
      for x, y in zip(ref, autotvm.record.load_from_file(file_path)):
          assert x[1] == y[1]
  
      # Confirm functionality of multiple file loads
      hist_best = ApplyHistoryBest([file_path, file_path])
      x = hist_best.query(target, tsk.workload)
      assert str(x) == str(inputs[0][2])
  
  
  def test_apply_history_best():
      tsk, target = get_sample_task()
  
      records = [
          (MeasureInput(target, tsk, tsk.config_space.get(0)), MeasureResult((0.1,), 0, 2.3, 0)),
          (MeasureInput(target, tsk, tsk.config_space.get(1)), MeasureResult((0.3,), 0, 2.3, 0)),
          (MeasureInput(target, tsk, tsk.config_space.get(2)), MeasureResult((0.01,), 0, 2.3, 0)),
          (MeasureInput(target, tsk, tsk.config_space.get(4)), MeasureResult((0.4,), 0, 2.3, 0)),
      ]
      hist_best = ApplyHistoryBest(records)
      x = hist_best.query(target, tsk.workload)
      assert str(x) == str(tsk.config_space.get(2))
  
  
  if __name__ == "__main__":
      test_load_dump()
      test_apply_history_best()
      test_file_io()
  