black linting

forecastlab · Jan 23, 2024 · 268183e · 268183e
1 parent 0dd21f6
commit 268183e
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Showing 3 changed files with 20 additions and 10 deletions.
diff --git a/dash/common.py b/dash/common.py
@@ -399,7 +399,7 @@ def select_best_model(data_dict, CV_score_function="MSE"):
 def get_thumbnail_figure(data_dict, lg=12):
     if data_dict == None:
         return {}
-        
+
     watermark_config = (
         watermark_information()
     )  # Grab the watermark text and fontsize information
@@ -700,7 +700,9 @@ def get_leaderboard_df(series_list, CV_score_function="MSE"):
             )
             chosen_methods.append(model_name)
         except Exception as e:
-            print(f'{[series_title]} had the following error: {e}') # Usually missing forecasts
+            print(
+                f"{[series_title]} had the following error: {e}"
+            )  # Usually missing forecasts
             pass
 
     stats_raw = pd.DataFrame({"Method": chosen_methods})

diff --git a/dash/pages/home.py b/dash/pages/home.py
@@ -110,7 +110,8 @@ def _featured_latest_news(feature_series_title):
                 dbc.Col(
                     [
                         html.H2(
-                            "US " + "inflation shows strong signs of stabilisation".title(),
+                            "US "
+                            + "inflation shows strong signs of stabilisation".title(),
                         ),
                         html.A(
                             html.H4("View all US forecasts"),
@@ -127,7 +128,9 @@ def _featured_latest_news(feature_series_title):
                             [
                                 dcc.Graph(
                                     figure=get_thumbnail_figure(
-                                        get_forecast_data("US Personal Consumption Expenditures: Chain-type Price Index (% Change, 1 Year)"),
+                                        get_forecast_data(
+                                            "US Personal Consumption Expenditures: Chain-type Price Index (% Change, 1 Year)"
+                                        ),
                                         lg=8,
                                     ),
                                     config={"displayModeBar": False},
@@ -223,7 +226,9 @@ def _uk_snapshot():
                             [
                                 dcc.Graph(
                                     figure=get_thumbnail_figure(
-                                        get_forecast_data("UK Inflation (RPI)"),
+                                        get_forecast_data(
+                                            "UK Inflation (RPI)"
+                                        ),
                                         lg=8,
                                     ),
                                     config={"displayModeBar": False},
@@ -276,14 +281,17 @@ def _link_search():
         ]
     )
 
+
 def _au_snapshot():
     return [
         dbc.Row(
             [
                 dbc.Col(
                     [
                         html.H2(
-                            "Have " + "AU" +" house prices reached the bottom?".title()
+                            "Have "
+                            + "AU"
+                            + " house prices reached the bottom?".title()
                         ),
                         html.A(
                             html.H4("View all Australian forecasts"),
@@ -300,7 +308,9 @@ def _au_snapshot():
                             [
                                 dcc.Graph(
                                     figure=get_thumbnail_figure(
-                                        get_forecast_data("Australian (Sydney) Change in House Prices"),
+                                        get_forecast_data(
+                                            "Australian (Sydney) Change in House Prices"
+                                        ),
                                         lg=8,
                                     ),
                                     config={"displayModeBar": False},

diff --git a/dash/pages/search.py b/dash/pages/search.py
@@ -391,9 +391,7 @@ def filter_results(**kwargs):
 
         for item_title in unique_series_titles[0:show_num]:
             try:
-                series_data = get_forecast_data(
-                    item_title
-                )
+                series_data = get_forecast_data(item_title)
                 if series_data == None:
                     raise FileNotFoundError