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oss-aspen · Oct 9, 2024 · 9d2d0b1 · 9d2d0b1
1 parent bd1facd
commit 9d2d0b1
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Showing 2 changed files with 4 additions and 15 deletions.
diff --git a/8Knot/pages/repo_overview/visualizations/ossf_scorecard.py b/8Knot/pages/repo_overview/visualizations/ossf_scorecard.py
@@ -45,10 +45,8 @@
                                     dbc.Row(
                                         [
                                             dbc.Label(
-                                                [
-                                                    "Last Updated:",
-                                                    html.Span(id=f"{PAGE}-{VIZ_ID}-updated")
-                                                ], className="mr-2"
+                                                ["Last Updated:", html.Span(id=f"{PAGE}-{VIZ_ID}-updated")],
+                                                className="mr-2",
                                             )
                                         ]
                                     ),

diff --git a/8Knot/pages/repo_overview/visualizations/repo_general_info.py b/8Knot/pages/repo_overview/visualizations/repo_general_info.py
@@ -32,16 +32,7 @@
                 dcc.Loading(
                     html.Div(id=f"{PAGE}-{VIZ_ID}"),
                 ),
-                dbc.Row(
-                    [
-                        dbc.Label(
-                            [
-                                "Last Updated:",
-                                html.Span(id=f"{PAGE}-{VIZ_ID}-updated")
-                            ], className="mr-2"
-                        )
-                    ]
-                ),
+                dbc.Row([dbc.Label(["Last Updated:", html.Span(id=f"{PAGE}-{VIZ_ID}-updated")], className="mr-2")]),
             ]
         )
     ],
@@ -90,7 +81,7 @@ def repo_general_info(repo):
 
 
 def process_data(df_repo_files, df_repo_info, df_releases):
-   
+
     updated_times_repo_info = pd.to_datetime(df_repo_info["data_collection_date"])
 
     unique_updated_times = updated_times_repo_info.drop_duplicates().to_numpy().flatten()