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from mirgecom.mpi import mpi_entry_point | |
from mirgecom.array_context import initialize_actx, actx_class_is_profiling | |
from mirgecom.array_context import get_reasonable_array_context_class | |
@mpi_entry_point | |
def main(actx_class): | |
from mpi4py import MPI | |
comm = MPI.COMM_WORLD | |
actx = initialize_actx(actx_class, comm=comm, | |
use_axis_tag_inference_fallback=True, | |
use_einsum_inference_fallback=True) | |
def test_function(temperature): | |
return actx.np.where(actx.np.greater(temperature, 1000.), | |
2000., actx.np.where(actx.np.greater(temperature, 500.), | |
750., actx.np.where(actx.np.greater(temperature, 50.), 250., | |
25))) | |
def test_function2(temperature): | |
return actx.np.where(actx.np.greater(temperature, 6000.0), 15.857914857900802 + -8484.010667579607 / temperature, actx.np.where(actx.np.greater(temperature, 1000.0), 6.21785087461938 + 0.00334301651978085*temperature + -5.984523426438233e-07*temperature**2 + 5.47163492659835e-11*temperature**3 + -2.02441466271074e-15*temperature**4 + 3102.94429958825 / temperature, actx.np.where(actx.np.greater(temperature, 50.0), 3.73312012902641 + -0.001125805440573445*temperature + 7.8480817078594e-06*temperature**2 + -3.427121040364425e-09*temperature**3 + 5089.77593 / temperature, 3.6776866372578287 + 5090.692681693975 / temperature))) | |
print(f"{test_function(25.)}") | |
print(f"{test_function(75.)}") | |
print(f"{test_function(525.)}") | |
print(f"{test_function(1005.)}") | |
print(f"{test_function(1820.)}") | |
import numpy as np | |
temp = np.float64(25.) | |
print(f"{test_function(temp)}") | |
actx_class = get_reasonable_array_context_class( | |
lazy=False, distributed=True, profiling=False, numpy=False) | |
main(actx_class) |
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