def _get_results(self, hash_output=True):
"""Digest info in the statepoint and return as a string."""
# Read the statepoint file.
statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
sp = openmc.StatePoint(statepoint)
# Load the MGXS library from the statepoint
self.mgxs_lib.load_from_statepoint(sp)
# Build a string from Pandas Dataframe for each MGXS
outstr = ''
for domain in self.mgxs_lib.domains:
for mgxs_type in self.mgxs_lib.mgxs_types:
mgxs = self.mgxs_lib.get_mgxs(domain, mgxs_type)
df = mgxs.get_pandas_dataframe()
outstr += df.to_string() + '\n'
# Hash the results if necessary
if hash_output:
sha512 = hashlib.sha512()
sha512.update(outstr.encode('utf-8'))
outstr = sha512.hexdigest()
return outstr
def _get_results(self, hash_output=False):
"""Digest info in the statepoint and return as a string."""
# Read the statepoint file.
sp = openmc.StatePoint(self._sp_name)
# Load the MGXS library from the statepoint
self.mgxs_lib.load_from_statepoint(sp)
# Build a condensed 1-group MGXS Library
one_group = openmc.mgxs.EnergyGroups([0., 20.e6])
condense_lib = self.mgxs_lib.get_condensed_library(one_group)
# Build a string from Pandas Dataframe for each 1-group MGXS
outstr = ''
for domain in condense_lib.domains:
for mgxs_type in condense_lib.mgxs_types:
mgxs = condense_lib.get_mgxs(domain, mgxs_type)
df = mgxs.get_pandas_dataframe()
outstr += df.to_string() + '\n'
# Hash the results if necessary
if hash_output:
sha512 = hashlib.sha512()
sha512.update(outstr.encode('utf-8'))
outstr = sha512.hexdigest()
return outstr
def _get_results(self, hash_output=False):
"""Digest info in the statepoint and return as a string."""
# Read the statepoint file.
sp = openmc.StatePoint(self._sp_name)
# Load the MGXS library from the statepoint
self.mgxs_lib.load_from_statepoint(sp)
# Average the MGXS across distribcell subdomains
avg_lib = self.mgxs_lib.get_subdomain_avg_library()
# Build a string from Pandas Dataframe for each 1-group MGXS
outstr = ''
for domain in avg_lib.domains:
for mgxs_type in avg_lib.mgxs_types:
mgxs = avg_lib.get_mgxs(domain, mgxs_type)
df = mgxs.get_pandas_dataframe()
outstr += df.to_string() + '\n'
# Hash the results if necessary
if hash_output:
sha512 = hashlib.sha512()
sha512.update(outstr.encode('utf-8'))
outstr = sha512.hexdigest()
return outstr
def _get_results(self, hash_output=False):
"""Digest info in the statepoint and return as a string."""
# Read the statepoint file.
statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
sp = openmc.StatePoint(statepoint)
# Read the summary file.
summary = glob.glob(os.path.join(os.getcwd(), 'summary.h5'))[0]
su = openmc.Summary(summary)
sp.link_with_summary(su)
# Load the MGXS library from the statepoint
self.mgxs_lib.load_from_statepoint(sp)
# Build a condensed 1-group MGXS Library
one_group = openmc.mgxs.EnergyGroups([0., 20.])
condense_lib = self.mgxs_lib.get_condensed_library(one_group)
# Build a string from Pandas Dataframe for each 1-group MGXS
outstr = ''
for domain in condense_lib.domains:
for mgxs_type in condense_lib.mgxs_types:
mgxs = condense_lib.get_mgxs(domain, mgxs_type)
df = mgxs.get_pandas_dataframe()
outstr += df.to_string()
print(outstr)
# Hash the results if necessary
if hash_output:
sha512 = hashlib.sha512()
sha512.update(outstr.encode('utf-8'))
outstr = sha512.hexdigest()
return outstr
