def main():
config = _load_config()
session = get_session(config.url_path)
graphs = []
if config.seed is None:
seed = int(np.random.default_rng(None).integers(np.array([2**63]))[0])
config.seed = seed
else:
seed = int(config.seed)
gen = np.random.default_rng(seed)
counter = 0
assert len(config.vertex_shape) % 2 == 0
shapes = np.array(config.vertex_shape).reshape(round(len(config.vertex_shape)/2), 2)
l_shapes = len(shapes)
for n in range(config.min_n, config.max_n):
size = config.cel_min
while size <= config.cel_max:
for i in range(config.repetitions):
graphs.append(create_random_celest_graph(n,vertex_shape=shapes[counter % l_shapes], celest_bounds=(size,size+config.cel_range), seed=gen))
counter += 1
size += config.cel_step
task = Task(name=config.name, task_type="CelestialGraphInstances", status=Task.STATUS_OPTIONS.FINISHED)
# Convert the namespace config into database config
task_config_holder = ConfigHolder.fromNamespace(config, task=task, ignored_attributes=["url_path", "name", "config"])
task.jobs = [TaskJobs(graph=graph, task=task) for graph in graphs]
session.add(task)
session.commit()
print(counter, "instances were created. Corresponding task is", task.id)
def main():
config = _load_config()
session = get_session(config.url_path)
if config.seed is None:
seed = int(np.random.default_rng(None).integers(np.array([2**63]))[0])
config.seed = seed
else:
seed = int(config.seed)
gen = np.random.default_rng(seed)
if config.fixed_edges:
graphs = _fixed_generation(config, gen)
else:
graphs = _probability_generation(config, gen)
task = Task(name=config.name,
task_type="GeometricGraphInstances",
status=Task.STATUS_OPTIONS.FINISHED)
# Convert the namespace config into database config
task_config_holder = ConfigHolder.fromNamespace(
config, task=task, ignored_attributes=["url_path", "name", "config"])
task.jobs = [TaskJobs(graph=graph, task=task) for graph in graphs]
session.add(task)
session.commit()
print(len(task.jobs), "instances were created. Corresponding task is",
task.id)