tadd test title output - sphere - GPU-based 3D discrete element method algorithm with optional fluid coupling
 (HTM) git clone git://src.adamsgaard.dk/sphere
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       ---
 (DIR) commit ae09532648edbaf00f952637a9af6acd7727bfd9
 (DIR) parent 83fba892f1c1133c173995fa2b80f288902d91af
 (HTM) Author: Anders Damsgaard <anders.damsgaard@geo.au.dk>
       Date:   Mon, 10 Nov 2014 12:51:49 +0100
       
       add test title output
       
       Diffstat:
         M tests/cfd_tests.py                  |       4 ++++
       
       1 file changed, 4 insertions(+), 0 deletions(-)
       ---
 (DIR) diff --git a/tests/cfd_tests.py b/tests/cfd_tests.py
       t@@ -10,6 +10,7 @@ print("### CFD tests - Dirichlet BCs ###")
        
        # Iteration and conservation of mass test
        # No gravity, no pressure gradients => no flow
       +print('# No forcing')
        orig = sphere.sim(np = 0, nd = 3, nw = 0, sid = "cfdtest", fluid = True)
        cleanup(orig)
        orig.defaultParams()
       t@@ -47,6 +48,7 @@ else:
        
        # Add pressure gradient
        # This test passes with BETA=0.0 and tolerance=1.0e-9
       +print('# Pressure gradient')
        orig.p_f[:,:,-1] = 1.1
        orig.run(verbose=False)
        #orig.run(verbose=True)
       t@@ -104,6 +106,7 @@ else:
        # Add viscosity which will limit the fluid flow. Used to test the stress tensor
        # in the fluid velocity prediction
        #print(numpy.mean(py.v_f[:,:,:,2]))
       +print('# Viscid flow')
        orig.time_file_dt[0] = 1.0e-4
        orig.time_total[0] = 1.0e-3
        orig.initFluid(mu = 8.9-4) # water at 25 deg C
       t@@ -185,6 +188,7 @@ for it in range(1,py.status()): # gradient should be smooth in all output files
        '''
        
        # Fast pressure modulation test
       +print('# Fast pressure modulation')
        orig.time_total[0] = 1.0e-2
        orig.time_file_dt[0] = 0.101*orig.time_total[0]
        orig.mu[0] = 0.0 # dont let diffusion add transient effects