different amtching method

functions/calc_matches.py

@@ -2,9 +2,8 @@ import pandas as pd
 import numpy as np
 from scipy.sparse import csr_matrix, lil_matrix
 
-"""
 def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
-    # matching project2 can be nay project
+    # matching project2 can be any project
     # indecies (rows) = project1
     # columns = project2
     # -> find matches
@@ -33,8 +32,8 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
     p2_df["similarity"] = top_values
 
     return p1_df, p2_df
-"""
 
+"""
 def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
     # Ensure the matrix is in a suitable format for manipulation
     if not isinstance(similarity_matrix, csr_matrix):
@@ -74,5 +73,5 @@ def calc_matches(filtered_df, project_df, similarity_matrix, top_x):
     print("finished calc matches")
 
     return p1_df, p2_df
-
+"""
 

functions/single_similar.py

@@ -24,6 +24,7 @@ def find_similar(p_index, similarity_matrix, filtered_df, top_x):
 
     return result_df
 """
+
 def find_similar(p_index, similarity_matrix, filtered_df, top_x):
     # Ensure the similarity_matrix is in a suitable sparse format like CSR
     if not isinstance(similarity_matrix, csr_matrix):