options["matrix_ratio"] = 2
options["n_cpu"] = 0
options["error_norm"] = "relative"
options["error_type"] = "nrmsd"
options["projection_qoi"] = 0
options["n_grid_gradient"] = 25
options["gradient_calculation"] = "standard_forward"
options["gradient_enhanced"] = g_e
options["fn_results"] = os.path.join(
folder, "TestBenchContinuous/{}_{}_q_{}_ge_{}".format(
algorithm.__name__, options["solver"],
options["order_max_norm"], int(g_e)))
TestBenchContinuous = pygpc.TestBenchContinuous(
algorithm=algorithm,
options=copy.deepcopy(options),
repetitions=repetitions,
n_cpu=n_cpu)
TestBenchContinuous.run()
# options["fn_results"] = os.path.join(folder, "TestBenchContinuousND/{}_{}_q_{}_ge_{}".format(
# algorithm.__name__, options["solver"], options["order_max_norm"], int(g_e)))
# TestBenchContinuousND = pygpc.TestBenchContinuousND(algorithm=algorithm,
# options=copy.deepcopy(options),
# repetitions=repetitions,
# dims=dims,
# n_cpu=n_cpu)
# TestBenchContinuousND.run()
#
# if o < 7:
# options["fn_results"] = os.path.join(folder, "TestBenchContinuousHD/{}_{}_q_{}_ge_{}".format(
options["solver"] = "Moore-Penrose"
options["order_max_norm"] = o
options["settings"] = None
options["matrix_ratio"] = 2
options["n_cpu"] = 0
options["eps"] = 1e-3
options["error_norm"] = "relative"
options["error_type"] = "nrmsd"
options["adaptive_sampling"] = a_s
options["gradient_enhanced"] = g_e
options["gradient_calculation"] = "standard_forward"
options["fn_results"] = os.path.join(folder, "TestBenchContinuous/{}_{}_q_{}_as_{}_ge_{}".format(
algorithm.__name__, options["solver"], options["order_max_norm"], int(a_s), int(g_e)))
TestBenchContinuous = pygpc.TestBenchContinuous(algorithm=algorithm,
options=options,
repetitions=repetitions,
n_cpu=n_cpu)
TestBenchContinuous.run()
# options["fn_results"] = os.path.join(folder, "TestBenchContinuousND/{}_{}_q_{}_as_{}_ge_{}".format(
# algorithm.__name__, options["solver"], options["order_max_norm"], int(a_s), int(g_e)))
# TestBenchContinuousND = pygpc.TestBenchContinuousND(algorithm=algorithm,
# options=copy.deepcopy(options),
# repetitions=repetitions,
# dims=dims,
# n_cpu=n_cpu)
# TestBenchContinuousND.run()
#
# options["fn_results"] = os.path.join(folder, "TestBenchDiscontinuous/{}_{}_q_{}_as_{}_ge_{}".format(
# algorithm.__name__, options["solver"], options["order_max_norm"], int(a_s), int(g_e)))
# TestBenchDiscontinuous = pygpc.TestBenchDiscontinuous(algorithm=algorithm,