#!/usr/bin/env python
#coding=utf-8
import onelab
modelName = 'coin'
OL = onelab.client()
print('\nStarting METAMODEL - Action = %s' % (OL.getString('python/Action')))
print __file__
A = OL.defineNumber('A', value=10)
B = OL.defineNumber('Group/B', value=0, min=-10, max=10, step=1)
C = OL.defineNumber('Group/C',
value=2,
choices=[0, 1, 2, 3],
attributes={'Highlight': 'Pink'})
D = OL.defineNumber('Group/D',
value=3,
labels={
0: 'zero',
1: 'un',
2: 'deux',
3: 'trois'
},
attributes={'Highlight': 'Blue'})
OL.reloadGeometry(modelName + '.geo')
OL.preProcess(modelName + '.txt.ol')
if OL.action == 'compute':
#!/usr/bin/env python
# coding=utf-8
import onelab
OL = onelab.client()
A = OL.getNumber("A")
print "A= %f" % (A)
OL.setNumber("Group/B", value=20)
#!/bin/python
## Imports
import onelab
import numpy
## ONELAB
ol = onelab.client()
## Gmsh geometry
ol.openProject('cavity_haroche_2D.geo')
freq = float(ol.getNumber(name = 'Input/00Haroche/00Frequency'))
target = (freq * 2 * numpy.pi) ** 2
## For remote mesh
S_PML = int(ol.getNumber(name = 'Input/01Geometry/00PML size'))
D_PML = int(ol.getNumber(name = 'Input/01Geometry/01PML distance'))
MSH_A = int(ol.getNumber(name = 'Input/02Mesh/00Size Air'))
MSH_P = int(ol.getNumber(name = 'Input/02Mesh/00Size PML'))
MSH_M = int(ol.getNumber(name = 'Input/02Mesh/00Size Mirror'))
ORDER = int(ol.getNumber(name = 'Input/02Mesh/01Order'))
TYPE = int(ol.getNumber(name = 'Input/02Mesh/02Type'))
## Get SmallFEM data
femOrder = ol.defineNumber(name = 'Input/03FEM/00Order', value = 1)
nEig = ol.defineNumber(name = 'Input/03FEM/01Eigenvalue', value = 4)
sym = ol.defineNumber(name = 'Input/03FEM/02Symmetry', choices = {0,1})
nProc = ol.defineNumber(name = 'Input/04Solver/00Process', value = 12)
tol = ol.defineNumber(name = 'Input/04Solver/01Tolerance', value = 1e-6)
maxit = ol.defineNumber(name = 'Input/04Solver/02Iteration', value = 10000)
postpro = ol.defineNumber(name = 'Input/05Post-Pro/00Draw', choices = {0,1})
#!/usr/bin/env python
#coding=utf-8
# 1) Launch "gmsh pend.py", or open "pend.py" with Gmsh's File->Open menu
# 2) Click on "Run" in the left Gmsh panel
# 3) there is no number 3... :-)
# To interact with ONELAB, the script must first import the onelab.py module:
import onelab
import math, os
# The script then creates a ONELAB client with:
c = onelab.client(__file__)
# Creating the client connects the script to the onelab server, through a
# socket. The __file__ argument is a python variable. It tells ONELAB in which
# directory the script being executed is located.
def exportMsh(le1, le2):
mshFile = open(c.getPath("pend.msh"), 'w')
mshFile.write('$MeshFormat\n2.2 0 8\n$EndMeshFormat\n')
mshFile.write('$Nodes\n3\n1 0 0 0\n2 0 %s 0\n3 0 %s 0\n$EndNodes\n' %
(-le1, -le1 - le2))
mshFile.write(
'$Elements\n3\n1 1 2 0 1 1 2\n2 1 2 0 1 2 3\n3 15 2 0 2 3\n$EndElements\n'
)
mshFile.close()
def exportMshOpt():
#!/usr/bin/env python
#coding=utf-8
# 1) launch "gmsh pend.py"
# 2) there is no 2... :-)
import onelab
import math, os
c = onelab.client(__file__)
def exportMsh(le1,le2):
mshFile = open(c.getPath("pend.msh"), 'w')
mshFile.write('$MeshFormat\n2.2 0 8\n$EndMeshFormat\n')
mshFile.write('$Nodes\n3\n1 0 0 0\n2 0 %s 0\n3 0 %s 0\n$EndNodes\n' %(-le1, -le1-le2))
mshFile.write('$Elements\n3\n1 1 2 0 1 1 2\n2 1 2 0 1 2 3\n3 15 2 0 2 3\n$EndElements\n')
mshFile.close()
def exportMshOpt():
optFile = open(c.getPath("pend.msh.opt"),'w')
optFile.write('n = PostProcessing.NbViews - 1;\n')
optFile.write('If(n >= 0)\nView[n].ShowScale = 0;\nView[n].VectorType = 5;\n')
optFile.write('View[n].ExternalView = 0;\nView[n].DisplacementFactor = 1 ;\n')
optFile.write('View[n].PointType = 1;\nView[n].PointSize = 5;\n')
optFile.write('View[n].LineWidth = 2;\nEndIf\n')
optFile.close()
def exportIter(iter,t,x1,y1,x2,y2):
mshFile = open(c.checkPath("pend.msh"),'a')
mshFile.write('$NodeData\n1\n"motion"\n1\n\t%f\n3\n\t%d\n3\n' % (t, iter))
mshFile.write('\t3\n\t1 0 0 0\n\t2 %f %f 0\n\t3 %f %f 0\n$EndNodeData\n' %(x1,y1,x2,y2))
printCurrIterate(clientOnelab, printTerminal, xval, fval, change, loop,
opt)
printCurrIterate(clientOnelab, printGmsh, xval, fval, change, loop, opt)
# output data
xopt = np.copy(xval)
objOpt = np.copy(fval[0])
constrOpt = np.copy(fval[1:])
return xopt, objOpt, constrOpt
if __name__ == "__main__":
# Create a onelab client
clientOnelab = onelab.client(__file__)
if clientOnelab.action == 'check': exit(0)
# Set options for both optimization problem and CAD/FEM model
options = setOptions(
clientOnelab, {
'CADFEMOptions': {
'Input/Geometry/00Mesh size factor': 1,
'Input/0Type of analysis': 0,
'Optimization/Desired fundamental frequency [Hz]': 2.5e05
},
'file': clientOnelab.getPath('magnetometer'),
'structuredGrid': 1,
'resolution': 'Analysis',
'objective': 'Output/diffEigenFreqNorm',
'constraints': [],