From ad9da6118757ccfc44dc92cac00b7748fe7f383a Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Thu, 14 Mar 2024 13:34:15 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 doc/configtables/load.csv                          | 2 +-
 scripts/build_hydro_profile.py                     | 4 +---
 scripts/build_population_weighted_energy_totals.py | 2 +-
 3 files changed, 3 insertions(+), 5 deletions(-)

diff --git a/doc/configtables/load.csv b/doc/configtables/load.csv
index b245268f..02e7b97b 100644
--- a/doc/configtables/load.csv
+++ b/doc/configtables/load.csv
@@ -4,4 +4,4 @@ time_shift_for_large_gaps,string,string,"Periods which are used for copying time
 manual_adjustments,bool,"{true, false}","Whether to adjust the load data manually according to the function in :func:`manual_adjustment`."
 scaling_factor,--,float,"Global correction factor for the load time series."
 fixed_year,--,Year or False,"To specify a fixed year for the load time series that deviates from the snapshots' year"
-supplement_missing_data_artificially,bool,"{true, false}","Whether to supplement missing data for selected time period should be supplemented by artificial data from https://zenodo.org/record/7070438/files/demand_hourly.csv."
\ No newline at end of file
+supplement_missing_data_artificially,bool,"{true, false}","Whether to supplement missing data for selected time period should be supplemented by artificial data from https://zenodo.org/record/7070438/files/demand_hourly.csv."
diff --git a/scripts/build_hydro_profile.py b/scripts/build_hydro_profile.py
index 510bc6fa..76ffc496 100644
--- a/scripts/build_hydro_profile.py
+++ b/scripts/build_hydro_profile.py
@@ -73,9 +73,7 @@ cc = coco.CountryConverter()
 
 def get_eia_annual_hydro_generation(fn, countries, capacities=False):
     # in billion kWh/a = TWh/a
-    df = pd.read_csv(
-        fn, skiprows=2, index_col=1, na_values=[" ", "--"]
-    ).iloc[1:, 1:]
+    df = pd.read_csv(fn, skiprows=2, index_col=1, na_values=[" ", "--"]).iloc[1:, 1:]
     df.index = df.index.str.strip()
     df.columns = df.columns.astype(int)
 
diff --git a/scripts/build_population_weighted_energy_totals.py b/scripts/build_population_weighted_energy_totals.py
index c2be19a9..70105a06 100644
--- a/scripts/build_population_weighted_energy_totals.py
+++ b/scripts/build_population_weighted_energy_totals.py
@@ -15,7 +15,7 @@ if __name__ == "__main__":
 
         snakemake = mock_snakemake(
             "build_population_weighted_energy_totals",
-            kind='energy',
+            kind="energy",
             simpl="",
             clusters=60,
         )