def check(self, test_name, tree_gen_func, **more_args):
kws = self.some_kws_of_run.copy()
kws.update(directed_params)
if more_args:
kws.update(more_args)
paths = run(
tree_gen_func,
calculate_graph=False,
print_summary=False,
# result_pkl_path_prefix=result_pickle_prefix,
**kws)
trees = pkl.load(open(paths['result']))
trees = filter(lambda t: t.number_of_edges() > 0,
trees) # remove empty trees
assert_true(len(trees) > 0)
for t in trees:
assert_true(len(t.edges()) > 0)
return trees, nx.read_gpickle(paths['meta_graph'])
def check(self, test_name, tree_gen_func, **more_args):
kws = self.some_kws_of_run.copy()
kws.update(directed_params)
if more_args:
kws.update(more_args)
paths = run(
tree_gen_func,
calculate_graph=False,
print_summary=False,
# result_pkl_path_prefix=result_pickle_prefix,
**kws)
trees = pkl.load(open(paths['result']))
trees = filter(lambda t: t.number_of_edges() > 0,
trees) # remove empty trees
assert_true(len(trees) > 0)
for t in trees:
assert_true(len(t.edges()) > 0)
return trees, nx.read_gpickle(paths['meta_graph'])
def check(self, test_name, tree_gen_func, **more_args):
kws = self.some_kws_of_run.copy()
if more_args:
kws.update(more_args)
kws['root_sampling_method'] = 'random'
paths = run(tree_gen_func,
calculate_graph=False,
print_summary=False,
**kws)
trees = pkl.load(open(paths['result']))
trees = filter(lambda t: t.number_of_edges() > 0,
trees) # remove empty trees
assert_true(len(trees) > 0)
for t in trees:
assert_true(len(t.edges()) > 0)
return trees, nx.read_gpickle(paths['meta_graph'])
def check(self, test_name, tree_gen_func, **more_args):
kws = self.some_kws_of_run.copy()
if more_args:
kws.update(more_args)
kws['root_sampling_method'] = 'random'
paths = run(tree_gen_func,
calculate_graph=False,
print_summary=False,
**kws)
trees = pkl.load(open(paths['result']))
trees = filter(lambda t: t.number_of_edges() > 0,
trees) # remove empty trees
assert_true(len(trees) > 0)
for t in trees:
assert_true(len(t.edges()) > 0)
return trees, nx.read_gpickle(paths['meta_graph'])
