code: def test_static_runner_from_json_multiple_values_regression():
      # Same as above, but with multiple repetitions
      archery_result = {
          "suites": [
              {
                  "name": "arrow-value-parsing-benchmark",
                  "benchmarks": [
                      {
                          "name": "FloatParsing<DoubleType>",
                          "unit": "items_per_second",
                          "less_is_better": False,
                          "values": [
                              93588476.22327498,
                              94873831.3818328,
                              95593675.20810866,
                              95797325.6543961,
                              96134728.05794072,
                          ],
                          "time_unit": "ns",
                          "times": [
                              10537.724568456104,
                              10575.162068480413,
                              10599.271208720838,
                              10679.028059166194,
                              10827.995119861762,
                          ],
                          "counters": {
                              "family_index": 0,
                              "per_family_instance_index": 0,
                              "run_name": "FloatParsing<DoubleType>",
                              "repetitions": 5,
                              "repetition_index": 0,
                              "threads": 1,
                              "iterations": 10656,
                          },
                      }
                  ],
              }
          ]
      }
  
      contender = StaticBenchmarkRunner.from_json(
          json.dumps(archery_result)
      )
  
      # introduce artificial regression
      values = archery_result["suites"][0]["benchmarks"][0]["values"]
      values[:] = [v * 2 for v in values]
      baseline = StaticBenchmarkRunner.from_json(
          json.dumps(archery_result)
      )
  
      [comparison] = RunnerComparator(contender, baseline).comparisons
      assert comparison.regression
  
imports: import json
  from archery.benchmark.codec import JsonEncoder
  from archery.benchmark.core import Benchmark, median
  from archery.benchmark.compare import BenchmarkComparator, RunnerComparator
  from archery.benchmark.google import GoogleBenchmark, GoogleBenchmarkObservation
  from archery.benchmark.runner import StaticBenchmarkRunner
label_desc: Use image node_id 5 for calling a global function with example usage: test_static_runner_from_json_multiple_values_regression() without return types