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  1. gp_result = gp_minimize(func=fitness,
  2.                             dimensions=dimensions,
  3.                             n_calls=12,
  4.                             noise= 0.01,
  5.                             n_jobs=-1,
  6.                             kappa = 5,
  7.                             x0=default_parameters)
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