addressing tempfile problem on windows

tests/test_datamodule.py

@@ -17,9 +17,7 @@
 import torch
 import pandas as pd
 import tempfile
-import pytest
 
-import graphium
 from graphium.utils.fs import rm, exists, get_size
 from graphium.data import GraphOGBDataModule, MultitaskFromSmilesDataModule
 
@@ -29,10 +27,6 @@
 
 class test_DataModule(ut.TestCase):
 
-    @pytest.fixture
-    def _setup_tmp_path(self, tmp_path):
-        self.tmp_path = tmp_path
-
     def test_ogb_datamodule(self):
         # other datasets are too large to be tested
         dataset_names = ["ogbg-molhiv", "ogbg-molpcba", "ogbg-moltox21", "ogbg-molfreesolv"]
@@ -386,7 +380,6 @@ def test_datamodule_multiple_data_files(self):
 
         self.assertEqual(len(ds.train_ds), 20)
 
-    @pytest.mark.usefixtures("_setup_tmp_path")
     def test_splits_file(self):
         # Test single CSV files
         csv_file = "tests/data/micro_ZINC_shard_1.csv"
@@ -432,7 +425,7 @@ def test_splits_file(self):
 
         try: 
             # Create a TemporaryFile to save the splits, and test the datamodule
-            temp_file = tempfile.NamedTemporaryFile(suffix=".pt", dir=self.tmp_path)
+            temp_file = tempfile.NamedTemporaryFile(suffix=".pt", delete=False)
 
             # Save the splits
             torch.save(splits, temp_file)
@@ -479,7 +472,8 @@ def test_splits_file(self):
             np.testing.assert_array_equal(ds.test_ds.smiles_offsets_tensor, ds2.test_ds.smiles_offsets_tensor)
 
         finally:
-                temp_file.close()
+            temp_file.close()
+            os.unlink(temp_file.name)
 
 
 if __name__ == "__main__":