From 7ecb9e25b8d518781850f99fff7f82e0696a55ab Mon Sep 17 00:00:00 2001
From: Christophe Geuzaine <cgeuzaine@ulg.ac.be>
Date: Tue, 11 Sep 2018 10:28:53 +0200
Subject: [PATCH] fix print (python 3)
---
Lbracket/topo.py | 16 ++++++++--------
Team25/shape.pro | 4 ++--
Team25/shape.py | 16 ++++++++--------
3 files changed, 18 insertions(+), 18 deletions(-)
diff --git a/Lbracket/topo.py b/Lbracket/topo.py
index 1456f32..a75d9f8 100644
--- a/Lbracket/topo.py
+++ b/Lbracket/topo.py
@@ -55,7 +55,7 @@ c.runSubClient('myGmsh', mygmsh + '-2')
# initializes the density 'xe' field
# This is done with a GetDP problem named 'DensityField'
# that solves no FE equations
-# but only fills up the function space with an initial value.
+# but only fills up the function space with an initial value.
c.runSubClient('myGetDP', mygetdp + '-solve DensityField')
# read in the 'xe' field from GetDP into a python variable 'd'
@@ -68,11 +68,11 @@ elements = np.array(d[1::2]) # [ele1, ..., eleN ]
#x = np.array(d[2::2]) # [xe1, ..., xeN]
x = 0.5*np.ones(numElements)
-print 'number of elements in topology optimization:', numElements
+print('number of elements in topology optimization:', numElements)
# This function serializes the python variables 'ele' and 'var' into
# an ElementTable variable [N, ele1, xe1, ..., eleN, xeN]
-# and set it as a Onelab parameter named `var'
+# and set it as a Onelab parameter named `var'
def setElementTable(var, ele, val):
data = np.ravel(np.column_stack((ele, val)))
data = np.insert(data, 0, numElements)
@@ -175,11 +175,11 @@ while change > maxChange and it <= maxIter and c.getString('topo/Action') != 'st
objective *= fscale
grad_objective *= fscale
- print '*'*50
- print 'iteration: ', it
- print 'change: ', change
- print 'objective:', objective
- print 'constraints:', constraints
+ print('*'*50)
+ print('iteration: ', it)
+ print('change: ', change)
+ print('objective:', objective)
+ print('constraints:', constraints)
c.sendInfo('Optimization: it. {}, obj. {}, constr. {}, change {}'.format(it,objective,constraints[0], change))
# call MMA and update the current point
diff --git a/Team25/shape.pro b/Team25/shape.pro
index 61003c9..c19f236 100644
--- a/Team25/shape.pro
+++ b/Team25/shape.pro
@@ -332,8 +332,8 @@ PostOperation {
Format SimpleTable, File StrCat[Opt_ResDir,"bMag.txt"]];
Print[az, OnElementsOf Domain, Format NodeTable, File "",
SendToServer StrCat[Opt_ResDir_Onelab,"a"], Hidden 1];
- //Print[bMag, OnElementsOf Domain, File StrCat[Opt_ResDir,"az.pos"]];
- //Print[az, OnElementsOf Domain, File StrCat[Opt_ResDir,"az.pos"]];
+ Print[bMag, OnElementsOf Domain, File StrCat[Opt_ResDir,"az.pos"]];
+ Print[az, OnElementsOf Domain, File StrCat[Opt_ResDir,"az.pos"]];
Print[bTarget, OnGrid {(9.5e-3+2.25e-3)*Cos[$A],(9.5e-3+2.25e-3)*Sin[$A],0}{0:50*Pi/180:5*Pi/180,0,0},
File StrCat[Opt_ResDir,"bTarget.pos"]];
Print[b, OnGrid {(9.5e-3+2.25e-3)*Cos[$A],(9.5e-3+2.25e-3)*Sin[$A],0}{0:50*Pi/180:5*Pi/180,0,0},
diff --git a/Team25/shape.py b/Team25/shape.py
index f93f531..ecb61b9 100644
--- a/Team25/shape.py
+++ b/Team25/shape.py
@@ -1,5 +1,5 @@
-# Open this file with Gmsh (interactively with File->Open->penning.py, or on the
-# command line with 'gmsh penning.py')
+# Open this file with Gmsh (interactively with File->Open->shape.py, or on the
+# command line with 'gmsh shape.py')
#
import numpy as np
@@ -160,12 +160,12 @@ while it <= maxIter and c.getString('shape/Action') != 'stop':
objective *= fscale
grad_objective *= fscale
- print '*'*50
- print 'iteration: ', it
- print 'change: ', change
- print 'current point:', xFromMMA
- print 'objective:', objective
- print 'constraints:', constraints
+ print('*'*50)
+ print('iteration: ', it)
+ print('change: ', change)
+ print('current point:', xFromMMA)
+ print('objective:', objective)
+ print('constraints:', constraints)
c.sendInfo('Optimization: it. {}, obj. {}, constr. {}'.format(it,objective,constraints[0]))
# call MMA and update the current point
--
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