diff options
| -rw-r--r-- | Code/merge_edges.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/Code/merge_edges.py b/Code/merge_edges.py index 842b27f..bf3bf5b 100644 --- a/Code/merge_edges.py +++ b/Code/merge_edges.py @@ -128,7 +128,7 @@ def get_unique_cids(lst): return ' '.join(result) -def make_new_edge2(d): +def make_new_edge(d): best_edge = list(d['best_edge']) S = 365 * 10 curr_date = datetime.datetime.now().strftime('%Y%m%d') @@ -209,7 +209,7 @@ if not os.path.isdir(folder_path): write_log_file('[merge_edges.py]: Make text edge file %s ...' % (MERGED_EDGE_FILE), UPDATE_NETWORK_LOG_FILE) fout = open(MERGED_EDGE_FILE, 'w') for k in d: - lst = make_new_edge2(d[k]) + lst = make_new_edge(d[k]) fout.write('\t'.join(lst) + '\n') fout.close() @@ -225,7 +225,7 @@ conn = sqlite3.connect(db_fname) c = conn.cursor() c.execute('CREATE TABLE IF NOT EXISTS edge (target_id text, target_name text, tf_id text, tf_name text, strength text, date text, method text, evidence text)') for k in d: - lst = make_new_edge2(d[k]) + lst = make_new_edge(d[k]) # Make an html page for each edge (taking Big disk space). This will take about 5GB disk space # for 1.3 million edges, not very disk space friendly. So I use a database-driven dynamic method # to save space. |