def test_slide_tsunami_domain(self):
if anuga_installed:
pass
else:
print 'Note: test_slide_tsunami_domain not tested as ANUGA '\
'is not installed'
return
length = 600.0
dep = 150.0
th = 9.0
thk = 15.0
wid = 340.0
kappa = 3.0
kappad = 0.8
x0 = 100000.
y0 = x0
from anuga.pmesh.mesh_interface import create_mesh_from_regions
polygon = [[0,0],[200000,0],[200000,200000],[0,200000]]
create_mesh_from_regions(polygon,
{'e0': [0], 'e1': [1], 'e2': [2], 'e3': [3]},
maximum_triangle_area=5000000000,
filename='test.msh',
verbose = False)
domain = Domain('test.msh', use_cache = True, verbose = False)
slide = slide_tsunami(length, dep, th, x0, y0, \
wid, thk, kappa, kappad, \
domain=domain,verbose=False)
domain.set_quantity('stage', slide)
stage = domain.get_quantity('stage')
w = stage.get_values()
## check = [[-0.0 -0.0 -0.0],
## [-.189709745 -517.877716 -0.0],
## [-0.0 -0.0 -2.7695931e-08],
## [-0.0 -2.7695931e-08 -1.897097e-01]
## [-0.0 -517.877716 -0.0],
## [-0.0 -0.0 -0.0],
## [-0.0 -0.0 -0.0],
## [-0.0 -0.0 -0.0]]
assert num.allclose(num.min(w), -517.877771593)
assert num.allclose(num.max(w), 0.0)
assert num.allclose(slide.a3D, 518.38797486)
def test_slide_tsunami_domain(self):
length = 600.0
dep = 150.0
th = 9.0
thk = 15.0
wid = 340.0
kappa = 3.0
kappad = 0.8
x0 = 100000.
y0 = x0
from anuga.pmesh.mesh_interface import create_mesh_from_regions
polygon = [[0, 0], [200000, 0], [200000, 200000], [0, 200000]]
create_mesh_from_regions(polygon, {
'e0': [0],
'e1': [1],
'e2': [2],
'e3': [3]
},
maximum_triangle_area=5000000000,
filename='test.msh',
verbose=False)
domain = Domain('test.msh', use_cache=True, verbose=False)
slide = slide_tsunami(length, dep, th, x0, y0, \
wid, thk, kappa, kappad, \
domain=domain,verbose=False)
domain.set_quantity('stage', slide)
stage = domain.get_quantity('stage')
w = stage.get_values()
## check = [[-0.0 -0.0 -0.0],
## [-.189709745 -517.877716 -0.0],
## [-0.0 -0.0 -2.7695931e-08],
## [-0.0 -2.7695931e-08 -1.897097e-01]
## [-0.0 -517.877716 -0.0],
## [-0.0 -0.0 -0.0],
## [-0.0 -0.0 -0.0],
## [-0.0 -0.0 -0.0]]
assert num.allclose(num.min(w), -517.877771593)
assert num.allclose(num.max(w), 0.0)
assert num.allclose(slide.a3D, 518.38797486)
def test_runup_sinusoid(self):
""" Run a version of the validation test runup_sinusoid
to ensure limiting solution has small velocity
"""
points, vertices, boundary = anuga.rectangular_cross(20,20, len1=1., len2=1.)
domain=Domain(points,vertices,boundary) # Create Domain
domain.set_flow_algorithm('DE0')
domain.set_name('runup_sinusoid_v2') # Output to file runup.sww
domain.set_datadir('.') # Use current folder
domain.set_quantities_to_be_stored({'stage': 2, 'xmomentum': 2, 'ymomentum': 2, 'elevation': 1})
#domain.set_store_vertices_uniquely(True)
#------------------
# Define topography
#------------------
scale_me=1.0
def topography(x,y):
return (-x/2.0 +0.05*num.sin((x+y)*50.0))*scale_me
def stagefun(x,y):
stge=-0.2*scale_me #+0.01*(x>0.9)
return stge
domain.set_quantity('elevation',topography) # Use function for elevation
domain.get_quantity('elevation').smooth_vertex_values()
domain.set_quantity('friction',0.03) # Constant friction
domain.set_quantity('stage', stagefun) # Constant negative initial stage
domain.get_quantity('stage').smooth_vertex_values()
#--------------------------
# Setup boundary conditions
#--------------------------
Br=anuga.Reflective_boundary(domain) # Solid reflective wall
Bd=anuga.Dirichlet_boundary([-0.1*scale_me,0.,0.]) # Constant boundary values -- not used in this example
#----------------------------------------------
# Associate boundary tags with boundary objects
#----------------------------------------------
domain.set_boundary({'left': Br, 'right': Bd, 'top': Br, 'bottom':Br})
#------------------------------
#Evolve the system through time
#------------------------------
for t in domain.evolve(yieldstep=7.0,finaltime=7.0):
#print domain.timestepping_statistics()
xx = domain.quantities['xmomentum'].centroid_values
yy = domain.quantities['ymomentum'].centroid_values
dd = domain.quantities['stage'].centroid_values - domain.quantities['elevation'].centroid_values
#dd_raw=1.0*dd
dd = (dd)*(dd>1.0e-03)+1.0e-03
vv = ( (xx/dd)**2 + (yy/dd)**2)**0.5
vv = vv*(dd>1.0e-03)
#print 'Peak velocity is: ', vv.max(), vv.argmax()
#print 'Volume is', sum(dd_raw*domain.areas)
#print vv.max()
assert num.all(vv<1.01e-01)
'ymomentum': 2,
'elevation': 1
})
domain.set_flow_algorithm(alg)
#------------------
# Define topography
#------------------
def topography(x, y):
return -x / 2 #Linear bed slope
def stagefun(x, y):
return -0.45 #Stage
domain.set_quantity('elevation', topography) # Use function for elevation
domain.get_quantity('elevation').smooth_vertex_values(
) # Steve's fix -- without this, substantial artificial velcities are generated everywhere in the domain. With this fix, there are artificial velocities near the coast, but not elsewhere.
domain.set_quantity('friction', 0.0) # Constant friction
domain.set_quantity('stage', stagefun) # Constant negative initial stage
else:
domain = None
#--------------------------
# create Parallel Domain
#--------------------------
domain = distribute(domain)
# Setup boundary conditions
#--------------------------
Br = anuga.Reflective_boundary(domain) # Solid reflective wall
Bt = anuga.Transmissive_boundary(
domain) # Continue all values of boundary -- not used in this example
#------------------------------------------------------------------------------
# Evolve system through time
#------------------------------------------------------------------------------
#from anuga.operators.set_elevation_operators import Circular_set_elevation_operator
#op1 = Circular_set_elevation_operator(domain, elevation=pole, radius=0.5, center = (12.0,3.0))
dam_break = False
for t in domain.evolve(yieldstep=0.1, finaltime=40.0):
domain.print_timestepping_statistics()
domain.print_operator_timestepping_statistics()
if t >= 10 and not dam_break:
print 'changing elevation'
stage_c = domain.get_quantity('stage').centroid_values
elev_c = domain.get_quantity('elevation').centroid_values
height_c = stage_c - elev_c
domain.set_quantity('elevation', topography_dam_break)
stage_c[:] = elev_c + height_c
dam_break = True
#------------------------------------------------------------------------------
polygon1 = [ [10.0, 0.0], [11.0, 0.0], [11.0, 5.0], [10.0, 5.0] ]
polygon2 = [ [12.0, 2.0], [13.0, 2.0], [13.0, 3.0], [12.0, 3.0] ]
from anuga.operators.rate_operators import Rate_operator
op1 = Rate_operator(domain, rate=lambda t: 10.0 if (t>=0.0) else 0.0, polygon=polygon2)
op2 = Rate_operator(domain, rate=lambda t: 10.0 if (t>=0.0) else 0.0, radius=0.5, center=(10.0, 3.0))
domain.set_starttime(-0.1)
for t in domain.evolve(yieldstep=0.01, finaltime=0.0):
domain.print_timestepping_statistics()
domain.print_operator_timestepping_statistics()
stage = domain.get_quantity('stage')
elev = domain.get_quantity('elevation')
height = stage - elev
print 'integral = ', height.get_integral()
for t in domain.evolve(yieldstep=0.1, duration=5.0):
domain.print_timestepping_statistics()
domain.print_operator_timestepping_statistics()
stage = domain.get_quantity('stage')
elev = domain.get_quantity('elevation')
height = stage - elev
domain.set_datadir(".") # Use current folder
domain.set_quantities_to_be_stored({"stage": 2, "xmomentum": 2, "ymomentum": 2, "elevation": 1})
domain.set_flow_algorithm(alg)
# ------------------
# Define topography
# ------------------
def topography(x, y):
return -x / 2 # Linear bed slope
def stagefun(x, y):
return -0.45 # Stage
domain.set_quantity("elevation", topography) # Use function for elevation
domain.get_quantity(
"elevation"
).smooth_vertex_values() # Steve's fix -- without this, substantial artificial velcities are generated everywhere in the domain. With this fix, there are artificial velocities near the coast, but not elsewhere.
domain.set_quantity("friction", 0.0) # Constant friction
domain.set_quantity("stage", stagefun) # Constant negative initial stage
else:
domain = None
# --------------------------
# create Parallel Domain
# --------------------------
domain = distribute(domain)
# Setup boundary conditions
# --------------------------
Br = anuga.Reflective_boundary(domain) # Solid reflective wall
Bt = anuga.Transmissive_boundary(domain) # Continue all values of boundary -- not used in this example
Bi = Dirichlet_boundary([0.4, 0, 0]) # Inflow
Br = Reflective_boundary(domain) # Solid reflective wall
Bo = Dirichlet_boundary([-5, 0, 0]) # Outflow
domain.set_boundary({'left': Bi, 'right': Bo, 'top': Br, 'bottom': Br})
#------------------------------------------------------------------------------
# Evolve system through time
#------------------------------------------------------------------------------
#from anuga.operators.set_elevation_operators import Circular_set_elevation_operator
#op1 = Circular_set_elevation_operator(domain, elevation=pole, radius=0.5, center = (12.0,3.0))
dam_break = False
for t in domain.evolve(yieldstep=0.1, finaltime=40.0):
domain.print_timestepping_statistics()
domain.print_operator_timestepping_statistics()
if t >= 10 and not dam_break:
print 'changing elevation'
stage_c = domain.get_quantity('stage').centroid_values
elev_c = domain.get_quantity('elevation').centroid_values
height_c = stage_c - elev_c
domain.set_quantity('elevation', topography_dam_break)
stage_c[:] = elev_c + height_c
dam_break = True
def parallel_time_varying_file_boundary_sts(self):
""" parallel_test_time_varying_file_boundary_sts_sequential(self):
Read correct points from ordering file and apply sts to boundary.
The boundary is time varying. Compares sequential result with
distributed result found using anuga_parallel
"""
#------------------------------------------------------------
# Define test variables
#------------------------------------------------------------
lat_long_points = [[6.01, 97.0], [6.02, 97.0], [6.05, 96.9],
[6.0, 97.0]]
bounding_polygon = [[6.0, 97.0], [6.01, 97.0], [6.02, 97.0],
[6.02, 97.02], [6.00, 97.02]]
tide = 3.0
time_step_count = 65
time_step = 2
n = len(lat_long_points)
first_tstep = num.ones(n, num.int)
last_tstep = (time_step_count) * num.ones(n, num.int)
finaltime = num.float(time_step * (time_step_count - 1))
yieldstep = num.float(time_step)
gauge_depth = 20 * num.ones(n, num.float)
ha = 2 * num.ones((n, time_step_count), num.float)
ua = 10 * num.ones((n, time_step_count), num.float)
va = -10 * num.ones((n, time_step_count), num.float)
times = num.arange(0, time_step_count * time_step, time_step)
for i in range(n):
#ha[i]+=num.sin(times)
ha[i] += times / finaltime
#------------------------------------------------------------
# Write mux data to file then convert to sts format
#------------------------------------------------------------
sts_file = "test"
if myid == 0:
base_name, files = self.write_mux2(lat_long_points,
time_step_count,
time_step,
first_tstep,
last_tstep,
depth=gauge_depth,
ha=ha,
ua=ua,
va=va)
# base name will not exist, but 3 other files are created
# Write order file
file_handle, order_base_name = tempfile.mkstemp("")
os.close(file_handle)
os.remove(order_base_name)
d = ","
order_file = order_base_name + 'order.txt'
fid = open(order_file, 'w')
# Write Header
header = 'index, longitude, latitude\n'
fid.write(header)
indices = [3, 0, 1]
for i in indices:
line=str(i)+d+str(lat_long_points[i][1])+d+\
str(lat_long_points[i][0])+"\n"
fid.write(line)
fid.close()
urs2sts(base_name,
basename_out=sts_file,
ordering_filename=order_file,
mean_stage=tide,
verbose=verbose)
self.delete_mux(files)
assert (os.access(sts_file + '.sts', os.F_OK))
os.remove(order_file)
barrier()
#------------------------------------------------------------
# Define boundary_polygon on each processor. This polygon defines the
# urs boundary and lies on a portion of the bounding_polygon
#------------------------------------------------------------
boundary_polygon = create_sts_boundary(sts_file)
# Append the remaining part of the boundary polygon to be defined by
# the user
bounding_polygon_utm = []
for point in bounding_polygon:
zone, easting, northing = redfearn(point[0], point[1])
bounding_polygon_utm.append([easting, northing])
boundary_polygon.append(bounding_polygon_utm[3])
boundary_polygon.append(bounding_polygon_utm[4])
assert num.allclose(bounding_polygon_utm, boundary_polygon)
extent_res = 10000
meshname = 'urs_test_mesh' + '.tsh'
interior_regions = None
boundary_tags = {'ocean': [0, 1], 'otherocean': [2, 3, 4]}
#------------------------------------------------------------
# Create mesh on the master processor and store in file. This file
# is read in by each slave processor when needed
#------------------------------------------------------------
if myid == 0:
create_mesh_from_regions(boundary_polygon,
boundary_tags=boundary_tags,
maximum_triangle_area=extent_res,
filename=meshname,
interior_regions=interior_regions,
verbose=verbose)
# barrier()
domain_fbound = Domain(meshname)
domain_fbound.set_quantities_to_be_stored(None)
domain_fbound.set_quantity('stage', tide)
# print domain_fbound.mesh.get_boundary_polygon()
else:
domain_fbound = None
barrier()
if (verbose and myid == 0):
print 'DISTRIBUTING PARALLEL DOMAIN'
domain_fbound = distribute(domain_fbound)
#--------------------------------------------------------------------
# Find which sub_domain in which the interpolation points are located
#
# Sometimes the interpolation points sit exactly
# between two centroids, so in the parallel run we
# reset the interpolation points to the centroids
# found in the sequential run
#--------------------------------------------------------------------
interpolation_points = [[279000, 664000], [280250, 664130],
[279280, 665400], [280500, 665000]]
interpolation_points = num.array(interpolation_points)
#if myid==0:
# import pylab as P
# boundary_polygon=num.array(boundary_polygon)
# P.plot(boundary_polygon[:,0],boundary_polygon[:,1])
# P.plot(interpolation_points[:,0],interpolation_points[:,1],'ko')
# P.show()
fbound_gauge_values = []
fbound_proc_tri_ids = []
for i, point in enumerate(interpolation_points):
fbound_gauge_values.append([]) # Empty list for timeseries
try:
k = domain_fbound.get_triangle_containing_point(point)
if domain_fbound.tri_full_flag[k] == 1:
fbound_proc_tri_ids.append(k)
else:
fbound_proc_tri_ids.append(-1)
except:
fbound_proc_tri_ids.append(-2)
if verbose: print 'P%d has points = %s' % (myid, fbound_proc_tri_ids)
#------------------------------------------------------------
# Set boundary conditions
#------------------------------------------------------------
Bf = File_boundary(sts_file + '.sts',
domain_fbound,
boundary_polygon=boundary_polygon)
Br = Reflective_boundary(domain_fbound)
domain_fbound.set_boundary({'ocean': Bf, 'otherocean': Br})
#------------------------------------------------------------
# Evolve the domain on each processor
#------------------------------------------------------------
for i, t in enumerate(
domain_fbound.evolve(yieldstep=yieldstep,
finaltime=finaltime,
skip_initial_step=False)):
stage = domain_fbound.get_quantity('stage')
for i in range(4):
if fbound_proc_tri_ids[i] > -1:
fbound_gauge_values[i].append(
stage.centroid_values[fbound_proc_tri_ids[i]])
#------------------------------------------------------------
# Create domain to be run sequntially on each processor
#------------------------------------------------------------
domain_drchlt = Domain(meshname)
domain_drchlt.set_quantities_to_be_stored(None)
domain_drchlt.set_starttime(time_step)
domain_drchlt.set_quantity('stage', tide)
Br = Reflective_boundary(domain_drchlt)
#Bd = Dirichlet_boundary([2.0+tide,220+10*tide,-220-10*tide])
Bd = Time_boundary(
domain=domain_drchlt,
function=lambda t: [
2.0 + t / finaltime + tide, 220. + 10. * tide + 10. * t /
finaltime, -220. - 10. * tide - 10. * t / finaltime
])
#Bd = Time_boundary(domain=domain_drchlt,function=lambda t: [2.0+num.sin(t)+tide,10.*(2+20.+num.sin(t)+tide),-10.*(2+20.+num.sin(t)+tide)])
domain_drchlt.set_boundary({'ocean': Bd, 'otherocean': Br})
drchlt_gauge_values = []
drchlt_proc_tri_ids = []
for i, point in enumerate(interpolation_points):
drchlt_gauge_values.append([]) # Empty list for timeseries
try:
k = domain_drchlt.get_triangle_containing_point(point)
if domain_drchlt.tri_full_flag[k] == 1:
drchlt_proc_tri_ids.append(k)
else:
drchlt_proc_tri_ids.append(-1)
except:
drchlt_proc_tri_ids.append(-2)
if verbose: print 'P%d has points = %s' % (myid, drchlt_proc_tri_ids)
#------------------------------------------------------------
# Evolve entire domain on each processor
#------------------------------------------------------------
for i, t in enumerate(
domain_drchlt.evolve(yieldstep=yieldstep,
finaltime=finaltime,
skip_initial_step=False)):
stage = domain_drchlt.get_quantity('stage')
for i in range(4):
drchlt_gauge_values[i].append(
stage.centroid_values[drchlt_proc_tri_ids[i]])
#------------------------------------------------------------
# Compare sequential values with parallel values
#------------------------------------------------------------
barrier()
success = True
for i in range(4):
if fbound_proc_tri_ids[i] > -1:
fbound_gauge_values[i] = num.array(fbound_gauge_values[i])
drchlt_gauge_values[i] = num.array(drchlt_gauge_values[i])
#print i,fbound_gauge_values[i][4]
#print i,drchlt_gauge_values[i][4]
success = success and num.allclose(fbound_gauge_values[i],
drchlt_gauge_values[i])
assert success #, (fbound_gauge_values[i]-drchlt_gauge_values[i])
#assert_(success)
if not sys.platform == 'win32':
if myid == 0: os.remove(sts_file + '.sts')
if myid == 0: os.remove(meshname)
def parallel_time_varying_file_boundary_sts(self):
""" parallel_test_time_varying_file_boundary_sts_sequential(self):
Read correct points from ordering file and apply sts to boundary.
The boundary is time varying. Compares sequential result with
distributed result found using anuga_parallel
"""
#------------------------------------------------------------
# Define test variables
#------------------------------------------------------------
lat_long_points=[[6.01,97.0],[6.02,97.0],[6.05,96.9],[6.0,97.0]]
bounding_polygon=[[6.0,97.0],[6.01,97.0],[6.02,97.0],
[6.02,97.02],[6.00,97.02]]
tide = 3.0
time_step_count = 65
time_step = 2
n=len(lat_long_points)
first_tstep=num.ones(n,num.int)
last_tstep=(time_step_count)*num.ones(n,num.int)
finaltime=num.float(time_step*(time_step_count-1))
yieldstep=num.float(time_step)
gauge_depth=20*num.ones(n,num.float)
ha=2*num.ones((n,time_step_count),num.float)
ua=10*num.ones((n,time_step_count),num.float)
va=-10*num.ones((n,time_step_count),num.float)
times=num.arange(0, time_step_count*time_step, time_step)
for i in range(n):
#ha[i]+=num.sin(times)
ha[i]+=times/finaltime
#------------------------------------------------------------
# Write mux data to file then convert to sts format
#------------------------------------------------------------
sts_file="test"
if myid==0:
base_name, files = self.write_mux2(lat_long_points,
time_step_count,
time_step,
first_tstep,
last_tstep,
depth=gauge_depth,
ha=ha,
ua=ua,
va=va)
# base name will not exist, but 3 other files are created
# Write order file
file_handle, order_base_name = tempfile.mkstemp("")
os.close(file_handle)
os.remove(order_base_name)
d=","
order_file=order_base_name+'order.txt'
fid=open(order_file,'w')
# Write Header
header='index, longitude, latitude\n'
fid.write(header)
indices=[3,0,1]
for i in indices:
line=str(i)+d+str(lat_long_points[i][1])+d+\
str(lat_long_points[i][0])+"\n"
fid.write(line)
fid.close()
urs2sts(base_name,
basename_out=sts_file,
ordering_filename=order_file,
mean_stage=tide,
verbose=verbose)
self.delete_mux(files)
assert(os.access(sts_file+'.sts', os.F_OK))
os.remove(order_file)
barrier()
#------------------------------------------------------------
# Define boundary_polygon on each processor. This polygon defines the
# urs boundary and lies on a portion of the bounding_polygon
#------------------------------------------------------------
boundary_polygon = create_sts_boundary(sts_file)
# Append the remaining part of the boundary polygon to be defined by
# the user
bounding_polygon_utm=[]
for point in bounding_polygon:
zone,easting,northing=redfearn(point[0],point[1])
bounding_polygon_utm.append([easting,northing])
boundary_polygon.append(bounding_polygon_utm[3])
boundary_polygon.append(bounding_polygon_utm[4])
assert num.allclose(bounding_polygon_utm,boundary_polygon)
extent_res=10000
meshname = 'urs_test_mesh' + '.tsh'
interior_regions=None
boundary_tags={'ocean': [0,1], 'otherocean': [2,3,4]}
#------------------------------------------------------------
# Create mesh on the master processor and store in file. This file
# is read in by each slave processor when needed
#------------------------------------------------------------
if myid==0:
create_mesh_from_regions(boundary_polygon,
boundary_tags=boundary_tags,
maximum_triangle_area=extent_res,
filename=meshname,
interior_regions=interior_regions,
verbose=verbose)
# barrier()
domain_fbound = Domain(meshname)
domain_fbound.set_quantities_to_be_stored(None)
domain_fbound.set_quantity('stage', tide)
# print domain_fbound.mesh.get_boundary_polygon()
else:
domain_fbound=None
barrier()
if ( verbose and myid == 0 ):
print 'DISTRIBUTING PARALLEL DOMAIN'
domain_fbound = distribute(domain_fbound)
#--------------------------------------------------------------------
# Find which sub_domain in which the interpolation points are located
#
# Sometimes the interpolation points sit exactly
# between two centroids, so in the parallel run we
# reset the interpolation points to the centroids
# found in the sequential run
#--------------------------------------------------------------------
interpolation_points = [[279000,664000], [280250,664130],
[279280,665400], [280500,665000]]
interpolation_points=num.array(interpolation_points)
#if myid==0:
# import pylab as P
# boundary_polygon=num.array(boundary_polygon)
# P.plot(boundary_polygon[:,0],boundary_polygon[:,1])
# P.plot(interpolation_points[:,0],interpolation_points[:,1],'ko')
# P.show()
fbound_gauge_values = []
fbound_proc_tri_ids = []
for i, point in enumerate(interpolation_points):
fbound_gauge_values.append([]) # Empty list for timeseries
try:
k = domain_fbound.get_triangle_containing_point(point)
if domain_fbound.tri_full_flag[k] == 1:
fbound_proc_tri_ids.append(k)
else:
fbound_proc_tri_ids.append(-1)
except:
fbound_proc_tri_ids.append(-2)
if verbose: print 'P%d has points = %s' %(myid, fbound_proc_tri_ids)
#------------------------------------------------------------
# Set boundary conditions
#------------------------------------------------------------
Bf = File_boundary(sts_file+'.sts',
domain_fbound,
boundary_polygon=boundary_polygon)
Br = Reflective_boundary(domain_fbound)
domain_fbound.set_boundary({'ocean': Bf,'otherocean': Br})
#------------------------------------------------------------
# Evolve the domain on each processor
#------------------------------------------------------------
for i, t in enumerate(domain_fbound.evolve(yieldstep=yieldstep,
finaltime=finaltime,
skip_initial_step = False)):
stage = domain_fbound.get_quantity('stage')
for i in range(4):
if fbound_proc_tri_ids[i] > -1:
fbound_gauge_values[i].append(stage.centroid_values[fbound_proc_tri_ids[i]])
#------------------------------------------------------------
# Create domain to be run sequntially on each processor
#------------------------------------------------------------
domain_drchlt = Domain(meshname)
domain_drchlt.set_quantities_to_be_stored(None)
domain_drchlt.set_starttime(time_step)
domain_drchlt.set_quantity('stage', tide)
Br = Reflective_boundary(domain_drchlt)
#Bd = Dirichlet_boundary([2.0+tide,220+10*tide,-220-10*tide])
Bd = Time_boundary(domain=domain_drchlt, function=lambda t: [2.0+t/finaltime+tide,220.+10.*tide+10.*t/finaltime,-220.-10.*tide-10.*t/finaltime])
#Bd = Time_boundary(domain=domain_drchlt,function=lambda t: [2.0+num.sin(t)+tide,10.*(2+20.+num.sin(t)+tide),-10.*(2+20.+num.sin(t)+tide)])
domain_drchlt.set_boundary({'ocean': Bd,'otherocean': Br})
drchlt_gauge_values = []
drchlt_proc_tri_ids = []
for i, point in enumerate(interpolation_points):
drchlt_gauge_values.append([]) # Empty list for timeseries
try:
k = domain_drchlt.get_triangle_containing_point(point)
if domain_drchlt.tri_full_flag[k] == 1:
drchlt_proc_tri_ids.append(k)
else:
drchlt_proc_tri_ids.append(-1)
except:
drchlt_proc_tri_ids.append(-2)
if verbose: print 'P%d has points = %s' %(myid, drchlt_proc_tri_ids)
#------------------------------------------------------------
# Evolve entire domain on each processor
#------------------------------------------------------------
for i, t in enumerate(domain_drchlt.evolve(yieldstep=yieldstep,
finaltime=finaltime,
skip_initial_step = False)):
stage = domain_drchlt.get_quantity('stage')
for i in range(4):
drchlt_gauge_values[i].append(stage.centroid_values[drchlt_proc_tri_ids[i]])
#------------------------------------------------------------
# Compare sequential values with parallel values
#------------------------------------------------------------
barrier()
success = True
for i in range(4):
if fbound_proc_tri_ids[i] > -1:
fbound_gauge_values[i]=num.array(fbound_gauge_values[i])
drchlt_gauge_values[i]=num.array(drchlt_gauge_values[i])
#print i,fbound_gauge_values[i][4]
#print i,drchlt_gauge_values[i][4]
success = success and num.allclose(fbound_gauge_values[i], drchlt_gauge_values[i])
assert success#, (fbound_gauge_values[i]-drchlt_gauge_values[i])
#assert_(success)
if not sys.platform == 'win32':
if myid==0: os.remove(sts_file+'.sts')
if myid==0: os.remove(meshname)
