def Read(self, filename, includeMc = False, subsample = 1):
"""
Read a .stat file
"""
def ParseRawS(s, delimiter):
newS = {}
for key1 in s.keys():
assert(not key1 in ["val", "value"])
if isinstance(s[key1], dict):
if len(s[key1].keys()) == 1 and s[key1].keys()[0] in ["val", "value"]:
newS[str(key1)] = s[key1][s[key1].keys()[0]]
else:
subS = ParseRawS(s[key1], delimiter)
newS[str(key1)] = {}
for key2 in subS.keys():
newS[str(key1)][str(key2)] = subS[key2]
else:
rank = len(s[key1].shape)
if rank > 1:
assert(rank == 2)
if includeMc:
# Add in this vector
# parser gives this in an inconvenient matrix order. Take the
# transpose here to make life easier.
newS[str(key1)] = s[key1].transpose()
# Add in the vector field components
for i in range(len(s[key1])):
newS[str(key1) + delimiter + str(i + 1)] = s[key1][i]
else:
try:
# Add in this scalar
newS[str(key1)] = s[key1]
except TypeError:
debug.deprint("Type error for data " + str(s[key1]), 0)
raise Exception("ParseRawS failure")
except ValueError:
debug.deprint("Value error for data " + str(s[key1]), 0)
raise Exception("ParseRawS failure")
return newS
debug.dprint("Reading .stat file: " + filename)
if subsample == 1:
# Handle this case separately, as it's convenient to be backwards
# compatible
statParser = statfile.parser(filename)
else:
statParser = statfile.parser(filename, subsample = subsample)
self._s = ParseRawS(statParser, self._delimiter)
if "ElapsedTime" in self.keys():
t = self["ElapsedTime"]
if t.shape[0] > 0:
debug.dprint("Time range: " + str((t[0], t[-1])))
else:
debug.dprint("Time range: No data")
return
def extract():
table0 = []
table0.append("\\begin{tabular}{c|ccccccc}\n")
table0.append(
" & $\Nu$ & $v_{rms}$ & $\max(u|_{z=1})$ & $<u|_{z=1}>$ & $<T + \\bar{T}>$ & $<\phi>$ & $<W>$ \\\\\n"
)
table0.append("\hline\n")
libspud.load_options(name + ".tfml")
ioname = libspud.get_option("/io/output_base_name")
Ra = libspud.get_option(
"/system::Stokes/coefficient::RayleighNumber/type::Constant/rank::Scalar/value::WholeMesh/constant"
)
Di = libspud.get_option(
"/system::Stokes/coefficient::DissipationNumber/type::Constant/rank::Scalar/value::WholeMesh/constant"
)
for n in ncells:
dir_name = "run_" + ` n `
chdir(dir_name)
try:
stat = parser(ioname + ".stat")
except IOError:
os.chdir("../")
continue
try:
det = parser(ioname + ".det")
except IOError:
os.chdir("../")
continue
nu = -1.0 * (
stat["Stokes"]["Temperature"]["FullTopSurfaceIntegral"][-1])
v_rms = sqrt(stat["Stokes"]["Velocity"]["L2NormSquared"][-1]) * Ra
v_surf_max = abs(det["Stokes"]["Velocity_0"]["Array"][:,
-1]).max() * Ra
v_surf_int = stat["Stokes"]["Velocity"]["TopSurfaceIntegral"][-1] * Ra
T_int = stat["Stokes"]["Temperature"]["FullIntegral"][-1]
phi_int = stat["ViscousDissipation"]["ViscousDissipation"]["Integral"][
-1] * Ra * Di
W_int = stat["WorkDone"]["WorkDone"]["Integral"][-1] * Ra
table0.append(
"{0:2d}$\\times${0:2d} & {1:.3f} & {2:.3f} & {3:.3f} & {4:.3f} & {5:.3f} & {6:.3f} & {7:.3f} \\\\\n"
.format(n, nu, v_rms, v_surf_max, v_surf_int, T_int, phi_int,
W_int))
os.chdir("../")
libspud.clear_options()
Raind = int(round(Ra))
Diind = '%d' % Di if Di == int(Di) else '%s' % Di
f = file("../../../tables.dict", 'r')
tables = pickle.load(f)
f.close()
table0.append("\hline\n")
for code, values in tables[approx][Raind][Diind].iteritems():
if len(values) > 0 and code in comparisoncodes:
line = "Benchmark (" + code + ") & "
for v in range(len(values) - 1):
line += '%.3f' % values[v] + " & "
line += '%.3f' % values[-1] + " \\\\\n"
table0.append(line)
table0.append("\\end{tabular}\n")
for line in table0:
print line[0:-1]
filename = "table0.tex"
filehandle = file(filename, 'w')
filehandle.writelines(table0)
filehandle.close()