From 3b6cd9ef1126dd380ab30ed46653e47ac1794aa4 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 9 Feb 2026 20:48:38 +0000
Subject: [PATCH 1/2] [pre-commit.ci] pre-commit autoupdate
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Content-Type: text/plain; charset=UTF-8
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updates:
- [github.com/astral-sh/ruff-pre-commit: v0.14.11 → v0.15.0](https://github.com/astral-sh/ruff-pre-commit/compare/v0.14.11...v0.15.0)
---
 .pre-commit-config.yaml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 8705c89..3fd073d 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -17,7 +17,7 @@ repos:
     - id: check-toml
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: 'v0.14.11'
+    rev: 'v0.15.0'
     hooks:
     - id: ruff
       args: [--fix, --exit-non-zero-on-fix]

From fe098c341493403dfa6ce6fcc6c50296350c1947 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 9 Feb 2026 20:49:23 +0000
Subject: [PATCH 2/2] [pre-commit.ci] Add auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 scripts/data/oc22_s2ef_train_convert.py | 8 ++++++--
 1 file changed, 6 insertions(+), 2 deletions(-)

diff --git a/scripts/data/oc22_s2ef_train_convert.py b/scripts/data/oc22_s2ef_train_convert.py
index b378ee4..c2a6e5f 100644
--- a/scripts/data/oc22_s2ef_train_convert.py
+++ b/scripts/data/oc22_s2ef_train_convert.py
@@ -21,7 +21,9 @@ def process_data(db_path: str, output_dir: str) -> None:
         "has_formation_energy": [],
     }
     db = LmdbDataset(config={"src": db_path})
-    for j in tqdm(range(len(db)), desc=f"Processing {db_path.split('/')[-1]}"):
+    for j in tqdm(
+        range(len(db)), desc=f"Processing {db_path.rsplit('/', maxsplit=1)[-1]}"
+    ):
         dataset["input_ids"].append(db[j].atomic_numbers.short())
         dataset["coords"].append(db[j].pos)
         dataset["forces"].append(db[j].force)
@@ -29,7 +31,9 @@ def process_data(db_path: str, output_dir: str) -> None:
         dataset["total_energy"].append(np.array(db[j].y).astype("float32"))
         dataset["has_formation_energy"].append(False)
     hf_dataset = Dataset.from_dict(dataset)
-    hf_dataset.save_to_disk(f"{output_dir}/{db_path.split('/')[-1].split('.')[-2]}")
+    hf_dataset.save_to_disk(
+        f"{output_dir}/{db_path.rsplit('/', maxsplit=1)[-1].split('.')[-2]}"
+    )
 
 
 def main(args: argparse.Namespace) -> None: