Fix tests

.github/workflows/tests.yml

@@ -13,7 +13,7 @@ jobs:
       matrix:
         include:
           - os: ubuntu-22.04
-            python-version: "3.8"
+            python-version: "3.9"
           - os: ubuntu-22.04
             python-version: "3.12"
           - os: macos-11

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "metatensor-models"
 dynamic = ["version"]
-requires-python = ">=3.8"
+requires-python = ">=3.9"
 
 readme = "README.md"
 license = {text = "BSD-3-Clause"}

src/metatensor/models/utils/omegaconf.py

@@ -254,7 +254,7 @@ def check_options_list(dataset_config: ListConfig) -> None:
     # loop over ALL configs because we have check units for all elements in
     # `dataset_config`
     for actual_config in dataset_config:
-        # Perform consistentcy checks between config elements
+        # Perform consistency checks between config elements
         actual_length_unit = actual_config["systems"]["length_unit"]
         if actual_length_unit != desired_length_unit:
             raise ValueError(

tests/utils/data/targets/test_targets_ase.py

@@ -123,7 +123,9 @@ def test_read_virial_warn(monkeypatch, tmp_path):
     ase.io.write(filename, systems)
 
     with pytest.warns(match="Found 9-long numerical vector"):
-        results = read_virial_ase(filename=filename, key="stress-9")
+        results = read_virial_ase(
+            filename=filename, key="stress-9", dtype=torch.get_default_dtype()
+        )
 
     expected = -torch.tensor(systems.info["stress-9"])
     expected = expected.reshape(-1, 3, 3, 1)

tests/utils/test_compute_loss.py

@@ -36,7 +36,9 @@ def test_compute_model_loss():
     model = soap_bpnn.Model(capabilities)
     # model = torch.jit.script(model)  # jit the model for good measure
 
-    systems = read_systems(RESOURCES_PATH / "alchemical_reduced_10.xyz")[:2]
+    systems = read_systems(
+        RESOURCES_PATH / "alchemical_reduced_10.xyz", dtype=torch.get_default_dtype()
+    )[:2]
 
     gradient_samples = Labels(
         names=["sample", "atom"],