Initial

.gitattributes

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+* text=auto

.gitignore

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+__pycache__
+*.csv
+.vscode/*
+!.vscode/settings.json

.vscode/settings.json

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+{
+  "editor.tabSize": 4
+}

anixarttierlist/__init__.py

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+from anixarttierlist.group import group_by_common_part

anixarttierlist/group.py

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+from collections import Counter
+from typing import List
+
+from sklearn.feature_extraction.text import CountVectorizer
+from sklearn.metrics.pairwise import cosine_similarity
+
+
+def find_first_substring(strings: List[str]):
+    if not strings:
+        return ""
+    if len(strings) == 1:
+        return strings[0]
+    lower_strings = list(map(lambda x: x.lower(), strings))
+
+    shortest = min(lower_strings, key=len)
+    for i in range(len(shortest), 0, -1):
+        substring = shortest[:i]
+        if all(s.startswith(substring) for s in lower_strings):
+            return strings[0][:i]
+    return ""
+
+
+def group_by_common_part(strings, n=3):
+    vectorizer = CountVectorizer(analyzer='char_wb', ngram_range=(n, n))
+    X = vectorizer.fit_transform(strings)
+    similarity_matrix = cosine_similarity(X)
+
+    similarity_treshold = .5
+
+    groups = []
+    assigned = [False] * len(strings)
+
+    for i in range(len(strings)):
+        if assigned[i]:
+            continue
+
+        group = [strings[i]]
+        assigned[i] = True
+
+        for j in range(i+1, len(strings)):
+            if assigned[j] or similarity_matrix[i, j] < similarity_treshold:
+                continue
+            group.append(strings[j])
+            assigned[j] = True
+
+        common_part = find_first_substring(group)
+        groups.append(common_part)
+
+    return groups

main.py

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+import csv
+from enum import Enum
+from typing import List
+
+from anixarttierlist import group_by_common_part
+
+
+class TableColumns(Enum):
+    ID = 0
+    RUS_NAME = 1
+    JAP_NAME = 2
+    ALT_NAME = 3
+
+
+def main():
+    anime_list: List[str] = []
+    with open('./aboba.csv', 'r', newline='') as csvfile:
+        spamreader = csv.reader(csvfile, delimiter=',')
+        for row in spamreader:
+            name: str = row[TableColumns.JAP_NAME.value]
+
+
+if __name__ == '__main__':
+    main()

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+
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pyproject.toml

@@ -0,0 +1,16 @@
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+
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+
+
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