CorellanStoma · January 9, 2022 16:20 · Jan 9, 2022 · Jan 9, 2022 · Jan 9, 2022
diff --git a/classfinder.py b/classfinder.py
@@ -15,7 +15,7 @@ def best_similarity(master, candidates, originalcandidates):
     # returns a map
     return max(candidate_scores, key=itemgetter(0))[1]
 
-# sorts a list alphabetically and adds padding so it can be used in the best_similarity function
+# sorts a list alphabetically and adds padding (empty strings) so it can be used in the best_similarity function
 def list_sort(list, padding):
     return sorted(list) + [''] * (padding - len(list))
 

diff --git a/classfinder.py b/classfinder.py
@@ -42,7 +42,7 @@ def main():
             else:
                 try:
                     # splits elements with multiple classes into multiple lines
-                    for substring in zip(match[element].split(' '), element_map[element].split(' ')):
+                    for substring in zip(element_map[element].split(' '), match[element].split(' ')):
                         output.write(f"{substring[0]} = {substring[1]}\n")
                     print(f"Found {element_map[element]}")
                 except:

diff --git a/classfinder.py b/classfinder.py
@@ -0,0 +1,54 @@
+import json
+import re
+from operator import itemgetter
+
+# finds the most similar list
+# master = [] with n items
+# candidates = [[],[],[],...] each nested list with n items
+# original_candidates = [{}, {}, {},...]
+def best_similarity(master, candidates, originalcandidates):
+    counts = [0] * len(candidates)
+    for i, masterval in enumerate(master):
+        for ci, c in enumerate(candidates):
+            counts[ci] += masterval == c[i] #True is numerically 1
+    candidate_scores = zip(counts, originalcandidates)
+    # returns a map
+    return max(candidate_scores, key=itemgetter(0))[1]
+
+# sorts a list alphabetically and adds padding so it can be used in the best_similarity function
+def list_sort(list, padding):
+    return sorted(list) + [''] * (padding - len(list))
+
+def main():
+
+    old = json.loads(open("old_classes.json").read())
+    new = json.loads(open("new_classes.json").read())
+    output = open("output.md", "w+")
+
+    # turns the new element map into a nested list
+    new_as_list = [list_sort(list(new_element_map), 100) for new_element_map in new]
+
+    for element_map in old:
+
+        element_list = list_sort(list(element_map.keys()), 100)
+        match = best_similarity(element_list, new_as_list, new)
+
+        for element in list(element_map.keys()):
+
+            # checks if element contains a number as the first character, or a parenthesis
+            # -> gets rid of elements such as "calc(...)" or "24px"
+            if element in match and re.search(r"^\d|\(|\)", match[element]):
+                print(f"Discarding {element}")
+            else:
+                try:
+                    # splits elements with multiple classes into multiple lines
+                    for substring in zip(match[element].split(' '), element_map[element].split(' ')):
+                        output.write(f"{substring[0]} = {substring[1]}\n")
+                    print(f"Found {element_map[element]}")
+                except:
+                    print(f"Couldn't find {element}")
+
+    print("Finished")
+    output.close()
+
+main()
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