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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def runExperiment5B(dirName):
 """ This runs the second experiment in the section "Simulations with Sensorimotor Sequences". It averages over many parameter combinations. This experiment could take several hours. You can run faster versions by reducing the number of trials. """

  # Results are put into a pkl file which can be used to generate the plots.
  # dirName is the absolute path where the pkl file will be placed.
  resultsName = os.path.join(dirName, "sensorimotor_batch_results_more_objects.pkl")

  # We run 10 trials for each column number and then analyze results
  numTrials = 10
  featureRange = [10, 50, 100, 150, 500]
  objectRange = [110, 130, 200, 300]
  locationRange = [100]

  # Comment this out if you  are re-running analysis on already saved results.
  # Very useful for debugging the plots
  runExperimentPool(
    numSequences=[0],
    numObjects=objectRange,
    numFeatures=featureRange,
    numLocations=locationRange,
    nTrials=numTrials,
    numWorkers=cpu_count() - 1,
    numRepetitions=10,
    resultsName=resultsName)