diff --git a/src/pymatlib/data/alloys/SS316L/SS316L.py b/src/pymatlib/data/alloys/SS316L/SS316L.py index 7c09cc9ea58eecdc2ee277b86df806a414a25a0d..c26da76560f50190bcc603758a72fc10240ed52d 100644 --- a/src/pymatlib/data/alloys/SS316L/SS316L.py +++ b/src/pymatlib/data/alloys/SS316L/SS316L.py @@ -8,8 +8,7 @@ from pymatlib.core.alloy import Alloy from pymatlib.data.element_data import Fe, Cr, Ni, Mo, Mn from pymatlib.core.models import thermal_diffusivity_by_heat_conductivity, density_by_thermal_expansion, energy_density, energy_density_total_enthalpy from pymatlib.core.data_handler import read_data_from_txt, celsius_to_kelvin, thousand_times, read_data_from_excel, read_data_from_file, plot_arrays -from pymatlib.core.interpolators import interpolate_property, prepare_interpolation_arrays#, interpolate_binary_search -from pymatlib.core.cpp.fast_interpolation import interpolate_binary_search, interpolate_double_lookup +from pymatlib.core.interpolators import interpolate_property, prepare_interpolation_arrays, interpolate_binary_search, interpolate_double_lookup def create_SS316L(T: Union[float, sp.Symbol]) -> Alloy: @@ -270,7 +269,7 @@ def create_SS316L(T: Union[float, sp.Symbol]) -> Alloy: print(f"Average execution time per iteration (array loop): {np.mean(all_execution_times) / len(SS316L.energy_density_array):.8f} seconds") # Run the performance test - measure_performance(iterations=100000) + measure_performance(iterations=10) quit()