def inspect_lattice(self, project_id=str(), critical_concentration=None):
info = dict()
info = json.load(open(project_id, 'r'))
lattice = Lattice()
lattice.critical_concentration = int(1e5) * critical_concentration
i = 0
while True:
if os.path.exists('Dataset/Lattices/' + project_id + '/' + str(i)):
print(str(i))
# loading state
lattice.cells = Lattice.load(cells_only=True,
project_id=project_id,
simulation_number=i)
# inspecting loaded state
lattice.update_critical()
lattice.sort_critical()
lattice.update_maximal_distances(dimension=info['dimension'])
i += 1
else:
break
json.dump(
lattice.maximal_distances,
open(
'Dataset/Maximal_distances/' + info['project_id'] + '/' +
str(critical_concentration), 'w'))
def inspect_lattice(self, critical_concentration):
info = dict()
info = json.load(open(str(self.id) + self.sub_id + 'info', 'r'))
lattice = Lattice()
lattice.critical_concentration = critical_concentration
i = 0
while True:
if os.path.exists(self.id + self.sub_id + 'Lattices/' + str(i)):
print(str(i))
lattice.cells = Lattice.load(cells_only=True,
project_id=self.id,
sub_id=self.sub_id,
simulation_number=i,
implementation=True)
lattice.update_critical()
lattice.update_maximal_distances(dimension=info['dimension'],
check_area=False)
i += 1
else:
break
json.dump(
lattice.maximal_distances['concentrated'],
open(
self.id + self.sub_id + 'Maximal_distances/' +
str(critical_concentration) + 'n2', 'w'))
