diff --git a/src/gflownet/data/qm9.py b/src/gflownet/data/qm9.py
index e1dcaa5f..83373411 100644
--- a/src/gflownet/data/qm9.py
+++ b/src/gflownet/data/qm9.py
@@ -53,7 +53,7 @@ def load_tar(xyz_file):
     f = tarfile.TarFile(xyz_file, "r")
     all_mols = []
     for pt in f:
-        pt = f.extractfile(pt)  # type: ignore3
+        pt = f.extractfile(pt)  # type: ignore
         data = pt.read().decode().splitlines()  # type: ignore
         all_mols.append(data[-2].split()[:1] + list(map(float, data[1].split()[2:])))
     df = pd.DataFrame(all_mols, columns=["SMILES"] + labels)
diff --git a/src/gflownet/models/bengio2021flow.py b/src/gflownet/models/bengio2021flow.py
index 77c9be32..ae71d74d 100644
--- a/src/gflownet/models/bengio2021flow.py
+++ b/src/gflownet/models/bengio2021flow.py
@@ -106,9 +106,9 @@
     ["c1ncc2nc[nH]c2n1", [2, 6]],
 ]
 
-"""
-18 fragments from "Towards Understanding and Improving GFlowNet Training" by Shen et al. (https://arxiv.org/abs/2305.07170)
-"""
+# 18 fragments from "Towards Understanding and Improving GFlowNet Training"
+# by Shen et al. (https://arxiv.org/abs/2305.07170)
+
 FRAGMENTS_18 = [
     ["CO", [1, 0]],
     ["O=c1[nH]cnc2[nH]cnc12", [3, 6]],