pp

benchmarks/magnetometer/magnetometer.geo

 Include "magnetometer_data.geo";
 
 Solver.AutoShowLastStep=0;
-View.DisplacementFactor = 20 * b;
 
 DefineConstant[ s = {1, Name "Input/Geometry/00Mesh size factor",
                      Min 0.1, Max 2, Step 0.1} ];
@@ -48,8 +47,8 @@ Physical Volume(CONDUCTOR_RIGHT) = {8, 9};
 Physical Surface(VOLTAGE_LEFT) = {168, 190};
 Physical Surface(VOLTAGE_RIGHT) = {234, 212};
 
-/* FIXME: show how we could select the mode ti visuzalize interactively without going through
-the whole option menu
+/* FIXME: show how we could select the mode ti visuzalize interactively without
+   going through the whole option menu
 DefineConstant[
   ts = { View.TimeStep, Name "Selected mode", Choices {0="Eigen mode 0", 1="Eigen mode 1"},
     AutoCheck 0, GmshOption "View.TimeStep"
@@ -72,4 +71,3 @@ DefineConstant[
     Name StrCat(pInOpt,"Structured grid?"),Visible 0}
 ];
 Merge "perturb.geo";
-

benchmarks/magnetometer/optdriver.py

@@ -171,14 +171,16 @@ def printOptProblem(xval,xmin,xmax,fmax,opt):
                      opt['optimization']['iterMax']))
         print('='*80)
 
-def printCurrIterate(xval,fval,change,loop,opt):
+def printCurrIterate(client,xval,fval,change,loop,opt):
     if opt['printLevel'] >= 1:
-        print('It. {:4d},'.format(loop)),
+        client.sendInfo('='*60)
+        client.sendInfo('It. {:4d},'.format(loop))
         for k,xk in enumerate(xval):
-            print('x{}: {:.3e},'.format(k,xk)),
+            client.sendInfo('x{}: {:.3e},'.format(k,xk))
         for k,fk in enumerate(fval):
-            print('f{}: {:.3e},'.format(k,fk)),
-        print('change: {:.3e}'.format(change))
+            client.sendInfo('f{}: {:.3e},'.format(k,fk))
+        client.sendInfo('change: {:.3e}'.format(change))
+        client.sendInfo('='*60)
         
 def optimLoop(clientOnelab, clientOpt, xval, xmin, xmax, fmax, opt):
     # Summary of the optimization problem
@@ -221,7 +223,7 @@ def optimLoop(clientOnelab, clientOpt, xval, xmin, xmax, fmax, opt):
         change = np.linalg.norm(xmma-xval,np.inf)
         
         # Print the current iterate
-        printCurrIterate(xval,fval,change,loop,opt['optimization'])
+        printCurrIterate(clientOnelab,xval,fval,change,loop,opt['optimization'])
 
         # update design variables
         xold2 = np.copy(xold1)
@@ -230,7 +232,7 @@ def optimLoop(clientOnelab, clientOpt, xval, xmin, xmax, fmax, opt):
         loop = loop + 1
 
     # print the final iteration
-    printCurrIterate(xval,fval,change,loop,opt['optimization'])
+    printCurrIterate(clientOnelab,xval,fval,change,loop,opt['optimization'])
     
     # output data
     xopt = np.copy(xval)

doc/VERSIONS.txt

+2.9.1: small improvements and bug fixes.
+
 2.9.0: new ONELAB 1.2 protocol with native support for lists; simple C++ and
 Python API for exchanging (lists of) numbers and strings; extended .pro language
 for the construction of extensible problem definitions ("Append"); new