From 2b59d1ca4c17cffb1d896e445a3e50e6c4b0073a Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 1 Jul 2024 14:37:41 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 scripts/save_concurrent_batches.py | 10 ++++++----
 1 file changed, 6 insertions(+), 4 deletions(-)

diff --git a/scripts/save_concurrent_batches.py b/scripts/save_concurrent_batches.py
index 55bee9ee..7ee2e568 100644
--- a/scripts/save_concurrent_batches.py
+++ b/scripts/save_concurrent_batches.py
@@ -2,9 +2,9 @@
 Constructs batches where each batch includes all GSPs and only a single timestamp.
 
 Currently a slightly hacky implementation due to the way the configs are done. This script will use
-the same config file currently set to train the model. In the datamodule config file it is possible 
-to set the batch_output_dir and number of train/val batches, they can also be overriden in the command as 
-shown in the example below.  
+the same config file currently set to train the model. In the datamodule config file it is possible
+to set the batch_output_dir and number of train/val batches, they can also be overriden in the command as
+shown in the example below.
 
 use:
 ```
@@ -164,7 +164,9 @@ def main(config: DictConfig):
     with open(f"{config_dm.batch_output_dir}/datamodule.yaml", "w") as f:
         f.write(OmegaConf.to_yaml(config.datamodule))
 
-    shutil.copyfile(config_dm.configuration, f"{config_dm.batch_output_dir}/data_configuration.yaml")
+    shutil.copyfile(
+        config_dm.configuration, f"{config_dm.batch_output_dir}/data_configuration.yaml"
+    )
 
     dataloader_kwargs = dict(
         shuffle=False,