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.gitattributes

@@ -108,3 +108,4 @@ Danbooru[[:space:]]Prompt[[:space:]]Selector/csv2023_safeimage.csv filter=lfs di
 Danbooru[[:space:]]Prompt[[:space:]]Selector/csv2023_sensitive.csv filter=lfs diff=lfs merge=lfs -text
 Danbooru[[:space:]]Prompt[[:space:]]Selector/TEST2024/NAIA_1231_console_testv1.exe filter=lfs diff=lfs merge=lfs -text
 Danbooru[[:space:]]Prompt[[:space:]]Selector/TEST2024/NAIA_0101_console_testv2.exe filter=lfs diff=lfs merge=lfs -text
+Danbooru[[:space:]]Prompt[[:space:]]Selector/TEST2024/NAIA_0102_testv2.exe filter=lfs diff=lfs merge=lfs -text

Danbooru Prompt Selector/TEST2024/NAIA_0102_testv2.exe

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7dde535d3240708b49f6e9d56db6ec71c9d875b06ae02a7ae4cf86146c03d862
+size 837865691

Danbooru Prompt Selector/TEST2024/NAIA_search.py

@@ -80,7 +80,8 @@ def process_perfect_negative_group(df, perfect_negative_group):
             keyword = re.escape(keyword)
             request_regex = True
         if request_regex: keyword_mask = df['search_string'].str.contains(keyword, na=False, regex=True)
-        else: df['search_string'].str.contains(keyword, na=False)
+        else: 
+            keyword_mask = df['search_string'].str.contains(keyword, na=False)
         combined_mask &= ~keyword_mask
 
     # 최종적으로 일치하지 않는 행만 필터링