def extract_nodes(dataset_id):
dataset = helpers.datasets[dataset_id]
start = time.time()
rdf_graph = rdf.read_graph(dataset["files"])
end = time.time()
print ("Reading graph took: {0} s.").format(end - start)
rdf.extract_subjects_by_types(rdf_graph, "../output/stats/{0}/".format(dataset_id))
def extract_nodes(dataset_id):
dataset = helpers.datasets[dataset_id]
start = time.time()
rdf_graph = rdf.read_graph(dataset["files"])
end = time.time()
print("Reading graph took: {0} s.").format(end - start)
rdf.extract_subjects_by_types(rdf_graph,
"../output/stats/{0}/".format(dataset_id))
in_files_dir = "../output/stats/{0}/".format(dataset_id)
stats = {}
for i in files_range:
i_str = str(i)
stats[i_str] = {}
stats[i_str]["class"], nodes = read_class_and_nodes_from_file(
in_files_dir + str(i_str))
stats[i_str]["len"] = len(nodes)
total = sum(map(lambda x: stats[x]["len"], stats))
stats["all"] = {}
stats["all"]["len"] = total
return stats
if __name__ == '__main__':
# print compute_stats("jamendo", range(10))
dataset_id = "opencyc"
dataset = helpers.datasets[dataset_id]
start = time.time()
rdf_graph = rdf.read_graph(dataset["files"])
end = time.time()
print("Reading graph took: {0} s.").format(end - start)
print "Blank nodes:", len(set(rdf.get_blank_nodes(rdf_graph)))
in_files_dir = "../output/stats/{0}/".format(dataset_id)
stats = {}
for i in files_range:
i_str = str(i)
stats[i_str] = {}
stats[i_str]["class"], nodes = read_class_and_nodes_from_file(in_files_dir + str(i_str))
stats[i_str]["len"] = len(nodes)
total = sum(map(lambda x: stats[x]["len"], stats))
stats["all"] = {}
stats["all"]["len"] = total
return stats
if __name__ == '__main__':
# print compute_stats("jamendo", range(10))
dataset_id = "opencyc"
dataset = helpers.datasets[dataset_id]
start = time.time()
rdf_graph = rdf.read_graph(dataset["files"])
end = time.time()
print ("Reading graph took: {0} s.").format(end - start)
print "Blank nodes:", len(set(rdf.get_blank_nodes(rdf_graph)))
