From 92ccb517f3ecb8ceaf0a6a58c97d27ae055cd40a Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 4 Dec 2023 11:20:38 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 config/test/config.myopic.yaml  | 2 +-
 config/test/config.perfect.yaml | 2 +-
 scripts/make_summary_perfect.py | 9 +++++----
 3 files changed, 7 insertions(+), 6 deletions(-)

diff --git a/config/test/config.myopic.yaml b/config/test/config.myopic.yaml
index cc228fc2..d566c6cb 100644
--- a/config/test/config.myopic.yaml
+++ b/config/test/config.myopic.yaml
@@ -29,7 +29,7 @@ countries: ['BE']
 snapshots:
   start: "2013-03-01"
   end: "2013-03-08"
-  
+
 sector:
   central_heat_vent: true
 
diff --git a/config/test/config.perfect.yaml b/config/test/config.perfect.yaml
index 9fc51c5c..49886b26 100644
--- a/config/test/config.perfect.yaml
+++ b/config/test/config.perfect.yaml
@@ -44,7 +44,7 @@ electricity:
 sector:
   min_part_load_fischer_tropsch: 0
   min_part_load_methanolisation: 0
-  
+
 atlite:
   default_cutout: be-03-2013-era5
   cutouts:
diff --git a/scripts/make_summary_perfect.py b/scripts/make_summary_perfect.py
index 81f57c67..c387c6cf 100644
--- a/scripts/make_summary_perfect.py
+++ b/scripts/make_summary_perfect.py
@@ -30,13 +30,14 @@ opt_name = {"Store": "e", "Line": "s", "Transformer": "s"}
 
 def reindex_columns(df, cols):
     investments = cols.levels[3]
-    if len(cols.names)!=len(df.columns.levels):
+    if len(cols.names) != len(df.columns.levels):
         df = pd.concat([df] * len(investments), axis=1)
-        df.columns = cols        
+        df.columns = cols
     df = df.reindex(cols, axis=1)
-    
+
     return df
 
+
 def calculate_costs(n, label, costs):
     investments = n.investment_periods
     cols = pd.MultiIndex.from_product(
@@ -48,7 +49,7 @@ def calculate_costs(n, label, costs):
         ],
         names=costs.columns.names[:3] + ["year"],
     )
-        
+
     costs = reindex_columns(costs, cols)
 
     for c in n.iterate_components(