domain.set_boundary({'left': Br, 'right': Br, 'top': Br, 'bottom': Br})
#------------------------------------------------------------------------------
# Evolve system through time
#------------------------------------------------------------------------------
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()
def test_rate_operator_rate_from_file(self):
from anuga.config import rho_a, rho_w, eta_w
from math import pi, cos, sin
a = [0.0, 0.0]
b = [0.0, 2.0]
c = [2.0, 0.0]
d = [0.0, 4.0]
e = [2.0, 2.0]
f = [4.0, 0.0]
points = [a, b, c, d, e, f]
# bac, bce, ecf, dbe
vertices = [[1, 0, 2], [1, 2, 4], [4, 2, 5], [3, 1, 4]]
#---------------------------------
#Typical ASCII file
#---------------------------------
finaltime = 1200
filename = 'test_file_function'
fid = open(filename + '.txt', 'w')
start = time.mktime(time.strptime('2000', '%Y'))
dt = 60 #One minute intervals
t = 0.0
while t <= finaltime:
t_string = time.strftime(time_format, time.gmtime(t + start))
fid.write('%s, %f %f %f\n' %
(t_string, 2 * t, t**2, sin(t * pi / 600)))
t += dt
fid.close()
#Convert ASCII file to NetCDF (Which is what we really like!)
timefile2netcdf(filename + '.txt')
#Create file function from time series
F = file_function(
filename + '.tms',
quantities=['Attribute0', 'Attribute1', 'Attribute2'])
#Now try interpolation
for i in range(20):
t = i * 10
q = F(t)
#Exact linear intpolation
assert num.allclose(q[0], 2 * t)
if i % 6 == 0:
assert num.allclose(q[1], t**2)
assert num.allclose(q[2], sin(t * pi / 600))
#Check non-exact
t = 90 #Halfway between 60 and 120
q = F(t)
assert num.allclose((120**2 + 60**2) / 2, q[1])
assert num.allclose((sin(120 * pi / 600) + sin(60 * pi / 600)) / 2,
q[2])
t = 100 #Two thirds of the way between between 60 and 120
q = F(t)
assert num.allclose(2 * 120**2 / 3 + 60**2 / 3, q[1])
assert num.allclose(
2 * sin(120 * pi / 600) / 3 + sin(60 * pi / 600) / 3, q[2])
#os.remove(filename + '.txt')
#os.remove(filename + '.tms')
domain = Domain(points, vertices)
#Flat surface with 1m of water
domain.set_quantity('elevation', 0)
domain.set_quantity('stage', 1.0)
domain.set_quantity('friction', 0)
Br = Reflective_boundary(domain)
domain.set_boundary({'exterior': Br})
# print domain.quantities['elevation'].centroid_values
# print domain.quantities['stage'].centroid_values
# print domain.quantities['xmomentum'].centroid_values
# print domain.quantities['ymomentum'].centroid_values
# Apply operator to these triangles
indices = [0, 1, 3]
rate = file_function('test_file_function.tms',
quantities=['Attribute1'])
factor = 1000.0
default_rate = 17.7
operator = Rate_operator(domain, rate=rate, factor=factor, \
indices=indices, default_rate = default_rate)
# Apply Operator
domain.set_starttime(360.0)
domain.timestep = 1.0
operator()
d = domain.get_time()**2 * factor + 1.0
stage_ex0 = [d, d, 1., d]
# print d, domain.get_time(), F(360.0)
# print domain.quantities['elevation'].centroid_values
# print domain.quantities['stage'].centroid_values
# print domain.quantities['xmomentum'].centroid_values
# print domain.quantities['ymomentum'].centroid_values
assert num.allclose(domain.quantities['stage'].centroid_values,
stage_ex0)
assert num.allclose(domain.quantities['xmomentum'].centroid_values,
0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values,
0.0)
assert num.allclose(domain.fractional_step_volume_integral,
((d - 1.) * domain.areas[indices]).sum())
domain.set_starttime(-10.0)
domain.timestep = 1.0
try:
operator()
except:
pass
else:
raise Exception('Should have raised an exception, time too early')
domain.set_starttime(1300.0)
domain.timestep = 1.0
operator()
d = default_rate * factor + d
stage_ex1 = [d, d, 1., d]
# print domain.quantities['elevation'].centroid_values
# print domain.quantities['stage'].centroid_values
# print domain.quantities['xmomentum'].centroid_values
# print domain.quantities['ymomentum'].centroid_values
assert num.allclose(domain.quantities['stage'].centroid_values,
stage_ex1)
assert num.allclose(domain.quantities['xmomentum'].centroid_values,
0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values,
0.0)
assert num.allclose(domain.fractional_step_volume_integral,
((d - 1.) * domain.areas[indices]).sum())
def test_rate_operator_functions_rate_default_rate(self):
from anuga.config import rho_a, rho_w, eta_w
from math import pi, cos, sin
a = [0.0, 0.0]
b = [0.0, 2.0]
c = [2.0, 0.0]
d = [0.0, 4.0]
e = [2.0, 2.0]
f = [4.0, 0.0]
points = [a, b, c, d, e, f]
# bac, bce, ecf, dbe
vertices = [[1, 0, 2], [1, 2, 4], [4, 2, 5], [3, 1, 4]]
domain = Domain(points, vertices)
#Flat surface with 1m of water
domain.set_quantity('elevation', 0)
domain.set_quantity('stage', 1.0)
domain.set_quantity('friction', 0)
Br = Reflective_boundary(domain)
domain.set_boundary({'exterior': Br})
verbose = False
if verbose:
print domain.quantities['elevation'].centroid_values
print domain.quantities['stage'].centroid_values
print domain.quantities['xmomentum'].centroid_values
print domain.quantities['ymomentum'].centroid_values
# Apply operator to these triangles
indices = [0, 1, 3]
factor = 10.0
def main_rate(t):
if t > 20:
msg = 'Model time exceeded.'
raise Modeltime_too_late, msg
else:
return 3.0 * t + 7.0
default_rate = lambda t: 3 * t + 7
operator = Rate_operator(domain, rate=main_rate, factor=factor, \
indices=indices, default_rate = default_rate)
# Apply Operator
domain.timestep = 2.0
operator()
t = operator.get_time()
d = operator.get_timestep() * main_rate(t) * factor + 1
stage_ex = [d, d, 1., d]
if verbose:
print domain.quantities['elevation'].centroid_values
print domain.quantities['stage'].centroid_values
print domain.quantities['xmomentum'].centroid_values
print domain.quantities['ymomentum'].centroid_values
assert num.allclose(domain.quantities['stage'].centroid_values,
stage_ex)
assert num.allclose(domain.quantities['xmomentum'].centroid_values,
0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values,
0.0)
assert num.allclose(domain.fractional_step_volume_integral,
((d - 1.) * domain.areas[indices]).sum())
domain.set_starttime(30.0)
domain.timestep = 1.0
operator()
t = operator.get_time()
d = operator.get_timestep() * default_rate(t) * factor + d
stage_ex = [d, d, 1., d]
if verbose:
print domain.quantities['elevation'].centroid_values
print domain.quantities['stage'].centroid_values
print domain.quantities['xmomentum'].centroid_values
print domain.quantities['ymomentum'].centroid_values
assert num.allclose(domain.quantities['stage'].centroid_values,
stage_ex)
assert num.allclose(domain.quantities['xmomentum'].centroid_values,
0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values,
0.0)
def test_rate_operator_functions_rate_default_rate(self):
from anuga.config import rho_a, rho_w, eta_w
from math import pi, cos, sin
a = [0.0, 0.0]
b = [0.0, 2.0]
c = [2.0, 0.0]
d = [0.0, 4.0]
e = [2.0, 2.0]
f = [4.0, 0.0]
points = [a, b, c, d, e, f]
# bac, bce, ecf, dbe
vertices = [[1,0,2], [1,2,4], [4,2,5], [3,1,4]]
domain = Domain(points, vertices)
#Flat surface with 1m of water
domain.set_quantity('elevation', 0)
domain.set_quantity('stage', 1.0)
domain.set_quantity('friction', 0)
Br = Reflective_boundary(domain)
domain.set_boundary({'exterior': Br})
verbose = False
if verbose:
print domain.quantities['elevation'].centroid_values
print domain.quantities['stage'].centroid_values
print domain.quantities['xmomentum'].centroid_values
print domain.quantities['ymomentum'].centroid_values
# Apply operator to these triangles
indices = [0,1,3]
factor = 10.0
def main_rate(t):
if t > 20:
msg = 'Model time exceeded.'
raise Modeltime_too_late, msg
else:
return 3.0 * t + 7.0
default_rate = lambda t: 3*t + 7
operator = Rate_operator(domain, rate=main_rate, factor=factor, \
indices=indices, default_rate = default_rate)
# Apply Operator
domain.timestep = 2.0
operator()
t = operator.get_time()
d = operator.get_timestep()*main_rate(t)*factor + 1
stage_ex = [ d, d, 1., d]
if verbose:
print domain.quantities['elevation'].centroid_values
print domain.quantities['stage'].centroid_values
print domain.quantities['xmomentum'].centroid_values
print domain.quantities['ymomentum'].centroid_values
assert num.allclose(domain.quantities['stage'].centroid_values, stage_ex)
assert num.allclose(domain.quantities['xmomentum'].centroid_values, 0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values, 0.0)
assert num.allclose(domain.fractional_step_volume_integral, ((d-1.)*domain.areas[indices]).sum())
domain.set_starttime(30.0)
domain.timestep = 1.0
operator()
t = operator.get_time()
d = operator.get_timestep()*default_rate(t)*factor + d
stage_ex = [ d, d, 1., d]
if verbose:
print domain.quantities['elevation'].centroid_values
print domain.quantities['stage'].centroid_values
print domain.quantities['xmomentum'].centroid_values
print domain.quantities['ymomentum'].centroid_values
assert num.allclose(domain.quantities['stage'].centroid_values, stage_ex)
assert num.allclose(domain.quantities['xmomentum'].centroid_values, 0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values, 0.0)
def test_rate_operator_rate_from_file(self):
from anuga.config import rho_a, rho_w, eta_w
from math import pi, cos, sin
a = [0.0, 0.0]
b = [0.0, 2.0]
c = [2.0, 0.0]
d = [0.0, 4.0]
e = [2.0, 2.0]
f = [4.0, 0.0]
points = [a, b, c, d, e, f]
# bac, bce, ecf, dbe
vertices = [[1, 0, 2], [1, 2, 4], [4, 2, 5], [3, 1, 4]]
#---------------------------------
#Typical ASCII file
#---------------------------------
finaltime = 1200
filename = 'test_file_function'
fid = open(filename + '.txt', 'w')
start = time.mktime(time.strptime('2000', '%Y'))
dt = 60 #One minute intervals
t = 0.0
while t <= finaltime:
t_string = time.strftime(time_format, time.gmtime(t + start))
fid.write('%s, %f %f %f\n' %
(t_string, 2 * t, t**2, sin(old_div(t * pi, 600))))
t += dt
fid.close()
#Convert ASCII file to NetCDF (Which is what we really like!)
timefile2netcdf(filename + '.txt')
#Create file function from time series
F = file_function(
filename + '.tms',
quantities=['Attribute0', 'Attribute1', 'Attribute2'])
#Now try interpolation
for i in range(20):
t = i * 10
q = F(t)
#Exact linear intpolation
assert num.allclose(q[0], 2 * t)
if i % 6 == 0:
assert num.allclose(q[1], t**2)
assert num.allclose(q[2], sin(old_div(t * pi, 600)))
#Check non-exact
t = 90 #Halfway between 60 and 120
q = F(t)
assert num.allclose(old_div((120**2 + 60**2), 2), q[1])
assert num.allclose(
old_div((sin(old_div(120 * pi, 600)) + sin(old_div(60 * pi, 600))),
2), q[2])
t = 100 #Two thirds of the way between between 60 and 120
q = F(t)
assert num.allclose(old_div(2 * 120**2, 3) + old_div(60**2, 3), q[1])
assert num.allclose(
old_div(2 * sin(old_div(120 * pi, 600)), 3) +
old_div(sin(old_div(60 * pi, 600)), 3), q[2])
#os.remove(filename + '.txt')
#os.remove(filename + '.tms')
domain = Domain(points, vertices)
#Flat surface with 1m of water
domain.set_quantity('elevation', 0)
domain.set_quantity('stage', 1.0)
domain.set_quantity('friction', 0)
Br = Reflective_boundary(domain)
domain.set_boundary({'exterior': Br})
# print domain.quantities['elevation'].centroid_values
# print domain.quantities['stage'].centroid_values
# print domain.quantities['xmomentum'].centroid_values
# print domain.quantities['ymomentum'].centroid_values
# Apply operator to these triangles
indices = [0, 1, 3]
rate = file_function(filename + '.tms', quantities=['Attribute1'])
# Make starttime of domain consistent with tms file starttime
domain.set_starttime(rate.starttime)
factor = 1000.0
default_rate = 17.7
operator = Rate_operator(domain, rate=rate, factor=factor, \
indices=indices, default_rate = default_rate)
# Apply Operator
domain.set_time(360.0)
domain.timestep = 1.0
operator()
d = domain.get_time()**2 * factor + 1.0
stage_ex0 = [d, d, 1., d]
# print d, domain.get_time(), F(360.0)
# print domain.quantities['elevation'].centroid_values
# print domain.quantities['stage'].centroid_values
# print domain.quantities['xmomentum'].centroid_values
# print domain.quantities['ymomentum'].centroid_values
assert num.allclose(domain.quantities['stage'].centroid_values,
stage_ex0)
assert num.allclose(domain.quantities['xmomentum'].centroid_values,
0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values,
0.0)
assert num.allclose(domain.fractional_step_volume_integral,
((d - 1.) * domain.areas[indices]).sum())
domain.set_time(1300.0)
domain.timestep = 1.0
operator()
d = default_rate * factor + d
stage_ex1 = [d, d, 1., d]
# print domain.quantities['elevation'].centroid_values
# print domain.quantities['stage'].centroid_values
# print domain.quantities['xmomentum'].centroid_values
# print domain.quantities['ymomentum'].centroid_values
assert num.allclose(domain.quantities['stage'].centroid_values,
stage_ex1)
assert num.allclose(domain.quantities['xmomentum'].centroid_values,
0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values,
0.0)
assert num.allclose(domain.fractional_step_volume_integral,
((d - 1.) * domain.areas[indices]).sum())
tmp = numpy.zeros_like(domain.quantities['stage'].centroid_values)
tmp[:] = domain.quantities['stage'].centroid_values
d0 = domain.fractional_step_volume_integral
domain.set_time(-10.0)
domain.timestep = 1.0
operator()
d = default_rate * factor
stage_ex2 = numpy.array([d, d, 0., d]) + numpy.array(stage_ex1)
assert num.allclose(domain.quantities['stage'].centroid_values,
stage_ex2)
assert num.allclose(domain.quantities['xmomentum'].centroid_values,
0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values,
0.0)
assert num.allclose(domain.fractional_step_volume_integral,
d0 + (d * domain.areas[indices]).sum())
# test timestepping_statistics
stats = operator.timestepping_statistics()
import re
rr = re.findall("[-+]?[.]?[\d]+(?:,\d\d\d)*[\.]?\d*(?:[eE][-+]?\d+)?",
stats)
assert num.allclose(float(rr[1]), 17.7)
assert num.allclose(float(rr[2]), 106200.0)
def test_rate_operator_rate_from_file(self):
from anuga.config import rho_a, rho_w, eta_w
from math import pi, cos, sin
a = [0.0, 0.0]
b = [0.0, 2.0]
c = [2.0, 0.0]
d = [0.0, 4.0]
e = [2.0, 2.0]
f = [4.0, 0.0]
points = [a, b, c, d, e, f]
# bac, bce, ecf, dbe
vertices = [[1,0,2], [1,2,4], [4,2,5], [3,1,4]]
#---------------------------------
#Typical ASCII file
#---------------------------------
finaltime = 1200
filename = 'test_file_function'
fid = open(filename + '.txt', 'w')
start = time.mktime(time.strptime('2000', '%Y'))
dt = 60 #One minute intervals
t = 0.0
while t <= finaltime:
t_string = time.strftime(time_format, time.gmtime(t+start))
fid.write('%s, %f %f %f\n' %(t_string, 2*t, t**2, sin(t*pi/600)))
t += dt
fid.close()
#Convert ASCII file to NetCDF (Which is what we really like!)
timefile2netcdf(filename+'.txt')
#Create file function from time series
F = file_function(filename + '.tms',
quantities = ['Attribute0',
'Attribute1',
'Attribute2'])
#Now try interpolation
for i in range(20):
t = i*10
q = F(t)
#Exact linear intpolation
assert num.allclose(q[0], 2*t)
if i%6 == 0:
assert num.allclose(q[1], t**2)
assert num.allclose(q[2], sin(t*pi/600))
#Check non-exact
t = 90 #Halfway between 60 and 120
q = F(t)
assert num.allclose( (120**2 + 60**2)/2, q[1] )
assert num.allclose( (sin(120*pi/600) + sin(60*pi/600))/2, q[2] )
t = 100 #Two thirds of the way between between 60 and 120
q = F(t)
assert num.allclose( 2*120**2/3 + 60**2/3, q[1] )
assert num.allclose( 2*sin(120*pi/600)/3 + sin(60*pi/600)/3, q[2] )
#os.remove(filename + '.txt')
#os.remove(filename + '.tms')
domain = Domain(points, vertices)
#Flat surface with 1m of water
domain.set_quantity('elevation', 0)
domain.set_quantity('stage', 1.0)
domain.set_quantity('friction', 0)
Br = Reflective_boundary(domain)
domain.set_boundary({'exterior': Br})
# print domain.quantities['elevation'].centroid_values
# print domain.quantities['stage'].centroid_values
# print domain.quantities['xmomentum'].centroid_values
# print domain.quantities['ymomentum'].centroid_values
# Apply operator to these triangles
indices = [0,1,3]
rate = file_function(filename + '.tms', quantities=['Attribute1'])
# Make starttime of domain consistent with tms file starttime
domain.set_starttime(rate.starttime)
factor = 1000.0
default_rate= 17.7
operator = Rate_operator(domain, rate=rate, factor=factor, \
indices=indices, default_rate = default_rate)
# Apply Operator
domain.set_time(360.0)
domain.timestep = 1.0
operator()
d = domain.get_time()**2 * factor + 1.0
stage_ex0 = [ d, d, 1., d]
# print d, domain.get_time(), F(360.0)
# print domain.quantities['elevation'].centroid_values
# print domain.quantities['stage'].centroid_values
# print domain.quantities['xmomentum'].centroid_values
# print domain.quantities['ymomentum'].centroid_values
assert num.allclose(domain.quantities['stage'].centroid_values, stage_ex0)
assert num.allclose(domain.quantities['xmomentum'].centroid_values, 0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values, 0.0)
assert num.allclose(domain.fractional_step_volume_integral, ((d-1.)*domain.areas[indices]).sum())
domain.set_time(-10.0)
domain.timestep = 1.0
try:
operator()
except:
pass
else:
raise Exception('Should have raised an exception, time too early')
domain.set_time(1300.0)
domain.timestep = 1.0
operator()
d = default_rate*factor + d
stage_ex1 = [ d, d, 1., d]
# print domain.quantities['elevation'].centroid_values
# print domain.quantities['stage'].centroid_values
# print domain.quantities['xmomentum'].centroid_values
# print domain.quantities['ymomentum'].centroid_values
assert num.allclose(domain.quantities['stage'].centroid_values, stage_ex1)
assert num.allclose(domain.quantities['xmomentum'].centroid_values, 0.0)
assert num.allclose(domain.quantities['ymomentum'].centroid_values, 0.0)
assert num.allclose(domain.fractional_step_volume_integral, ((d-1.)*domain.areas[indices]).sum())
def sequential_time_varying_file_boundary_sts(self):
"""sequential_ltest_time_varying_file_boundary_sts_sequential(self):
Read correct points from ordering file and apply sts to boundary. The boundary is time varying. FIXME add to test_urs2sts.
"""
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., num.float(time_step_count * time_step),
time_step)
for i in range(n):
#ha[i]+=num.sin(times)
ha[i] += times / finaltime
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()
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 = 1000000
meshname = 'urs_test_mesh' + '.tsh'
interior_regions = None
boundary_tags = {'ocean': [0, 1], 'otherocean': [2, 3, 4]}
# have to change boundary tags from last example because now bounding
# polygon starts in different place.
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)
if verbose: print "Creating file boundary condition"
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})
temp_fbound = num.zeros(int(finaltime / yieldstep) + 1, num.float)
if verbose: print "Evolving domain with file boundary condition"
for i, t in enumerate(
domain_fbound.evolve(yieldstep=yieldstep,
finaltime=finaltime,
skip_initial_step=False)):
temp_fbound[i] = domain_fbound.quantities['stage'].centroid_values[
2]
if verbose: domain_fbound.write_time()
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,
f=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,f=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})
temp_drchlt = num.zeros(int(finaltime / yieldstep) + 1, num.float)
for i, t in enumerate(
domain_drchlt.evolve(yieldstep=yieldstep,
finaltime=finaltime,
skip_initial_step=False)):
temp_drchlt[i] = domain_drchlt.quantities['stage'].centroid_values[
2]
#domain_drchlt.write_time()
#print domain_fbound.quantities['stage'].vertex_values
#print domain_drchlt.quantities['stage'].vertex_values
assert num.allclose(temp_fbound,
temp_drchlt), temp_fbound - temp_drchlt
assert num.allclose(domain_fbound.quantities['stage'].vertex_values,
domain_drchlt.quantities['stage'].vertex_values)
assert num.allclose(
domain_fbound.quantities['xmomentum'].vertex_values,
domain_drchlt.quantities['xmomentum'].vertex_values)
assert num.allclose(
domain_fbound.quantities['ymomentum'].vertex_values,
domain_drchlt.quantities['ymomentum'].vertex_values)
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)
def sequential_time_varying_file_boundary_sts(self):
"""sequential_ltest_time_varying_file_boundary_sts_sequential(self):
Read correct points from ordering file and apply sts to boundary. The boundary is time varying. FIXME add to test_urs2sts.
"""
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., num.float(time_step_count*time_step), time_step)
for i in range(n):
#ha[i]+=num.sin(times)
ha[i]+=times/finaltime
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()
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=1000000
meshname = 'urs_test_mesh' + '.tsh'
interior_regions=None
boundary_tags={'ocean': [0,1], 'otherocean': [2,3,4]}
# have to change boundary tags from last example because now bounding
# polygon starts in different place.
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)
if verbose: print "Creating file boundary condition"
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})
temp_fbound=num.zeros(int(finaltime/yieldstep)+1,num.float)
if verbose: print "Evolving domain with file boundary condition"
for i, t in enumerate(domain_fbound.evolve(yieldstep=yieldstep,
finaltime=finaltime,
skip_initial_step = False)):
temp_fbound[i]=domain_fbound.quantities['stage'].centroid_values[2]
if verbose: domain_fbound.write_time()
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, f=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,f=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})
temp_drchlt=num.zeros(int(finaltime/yieldstep)+1,num.float)
for i, t in enumerate(domain_drchlt.evolve(yieldstep=yieldstep,
finaltime=finaltime,
skip_initial_step = False)):
temp_drchlt[i]=domain_drchlt.quantities['stage'].centroid_values[2]
#domain_drchlt.write_time()
#print domain_fbound.quantities['stage'].vertex_values
#print domain_drchlt.quantities['stage'].vertex_values
assert num.allclose(temp_fbound,temp_drchlt),temp_fbound-temp_drchlt
assert num.allclose(domain_fbound.quantities['stage'].vertex_values,
domain_drchlt.quantities['stage'].vertex_values)
assert num.allclose(domain_fbound.quantities['xmomentum'].vertex_values,
domain_drchlt.quantities['xmomentum'].vertex_values)
assert num.allclose(domain_fbound.quantities['ymomentum'].vertex_values,
domain_drchlt.quantities['ymomentum'].vertex_values)
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)