From 5551bb0e152aaf2370457ee6490846022be04f06 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Wed, 12 Jun 2024 14:00:33 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 datasets.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/datasets.py b/datasets.py
index 60e9639c..5c44007a 100644
--- a/datasets.py
+++ b/datasets.py
@@ -620,11 +620,11 @@ class MalawiCropArea2020(LabeledDataset):
     def load_labels(self) -> pd.DataFrame:
         raw_folder = raw_dir / "Malawi_Crop_Area_2020"
         df1 = pd.read_csv(
-            raw_folder / "ceo-Malawi-Cropland-Area-Estimation-Reference-Sample-2020-"\
+            raw_folder / "ceo-Malawi-Cropland-Area-Estimation-Reference-Sample-2020-"
             "Sept-to-Sept---Set-1-sample-data-2024-06-11.csv"
         )
         df2 = pd.read_csv(
-            raw_folder / "ceo-Malawi-Cropland-Area-Estimation-Reference-Sample-2020-"\
+            raw_folder / "ceo-Malawi-Cropland-Area-Estimation-Reference-Sample-2020-"
             "Sept-to-Sept---Set-2-sample-data-2024-06-11.csv"
         )
         df = pd.concat([df1, df2])
@@ -652,11 +652,11 @@ class TanzaniaCropArea2019(LabeledDataset):
     def load_labels(self) -> pd.DataFrame:
         raw_folder = raw_dir / "Tanzania_Crop_Area_2019"
         df1 = pd.read_csv(
-            raw_folder / "ceo-Tanzania-Cropland-Area-Estimation-Reference-Sample-2019-Sept"\
+            raw_folder / "ceo-Tanzania-Cropland-Area-Estimation-Reference-Sample-2019-Sept"
             "-to-Sept---Set-1-sample-data-2024-06-11.csv"
         )
         df2 = pd.read_csv(
-            raw_folder / "ceo-Tanzania-Cropland-Area-Estimation-Reference-Sample-2019-Sept"\
+            raw_folder / "ceo-Tanzania-Cropland-Area-Estimation-Reference-Sample-2019-Sept"
             "-to-Sept---Set-2-sample-data-2024-06-11.csv"
         )
         df = pd.concat([df1, df2])
@@ -684,11 +684,11 @@ class FranceCropArea2020(LabeledDataset):
     def load_labels(self) -> pd.DataFrame:
         raw_folder = raw_dir / "France_Crop_Area_2020"
         df1 = pd.read_csv(
-            raw_folder / "ceo-France-Cropland-Area-Reference-Sample-2020-"\
+            raw_folder / "ceo-France-Cropland-Area-Reference-Sample-2020-"
             "(March-March)---Set-1-sample-data-2024-06-11.csv"
         )
         df2 = pd.read_csv(
-            raw_folder / "ceo-France-Cropland-Area-Reference-Sample-2020-"\
+            raw_folder / "ceo-France-Cropland-Area-Reference-Sample-2020-"
             "(March-March)---Set-2-sample-data-2024-06-11.csv"
         )
         df = pd.concat([df1, df2])