The following shows running a simple steady-state diffusion benchmark running on 2 cores.
import os
prj_name = "square_1e1_neumann"
data_dir = os.environ.get("OGS_DATA_DIR", "../../../Data")
prj_file = f"{data_dir}/EllipticPETSc/{prj_name}.prj"
from pathlib import Path
out_dir = Path(os.environ.get("OGS_TESTRUNNER_OUT_DIR", "_out"))
if not out_dir.exists():
out_dir.mkdir(parents=True)
print(f"mpirun -np 2 ogs {prj_file} > out.txt")
! mpirun -np 2 ogs {prj_file} > out.txt
from datetime import datetime
print(datetime.now())
mpirun -np 2 ogs /var/lib/gitlab-runner/builds/vZ6vnZiU/1/ogs/ogs/Tests/Data/EllipticPETSc/square_1e1_neumann.prj > out.txt
2024-05-08 18:22:49.746696
import vtuIO
pvdfile = vtuIO.PVDIO(f"{prj_name}.pvd", dim=2)
time = pvdfile.timesteps
points = {"pt0": (0.3, 0.5, 0.0), "pt1": (0.24, 0.21, 0.0)}
pressure_linear = pvdfile.read_time_series("pressure", points)
import matplotlib.pyplot as plt
plt.plot(time, pressure_linear["pt0"], "b-", label="pt0 linear interpolated")
plt.plot(time, pressure_linear["pt1"], "r-", label="pt1 linear interpolated")
plt.legend()
plt.xlabel("t")
plt.ylabel("p")
WARNING: Default interpolation backend changed to VTK. This might result in
slight changes of interpolated values if defaults are/were used.
Text(0, 0.5, 'p')
This article was written by Lars Bilke. If you are missing something or you find an error please let us know.
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Last revision: November 9, 2021