Using example test data for test_learn_loop.

tests/conftest.py

@@ -12,6 +12,10 @@
 def test_data_path():
     return Path(__file__).parent.parent / "data" / "tests"
 
+@pytest.fixture
+def test_des_data_path():
+    return Path(__file__).parent.parent / "data" / "tests" / "DES_data"
+
 
 @pytest.fixture(scope="session")
 def base_temp(tmp_path_factory):

tests/test_learn_loop.py

@@ -5,13 +5,13 @@
 from resspect import fit_snpcc
 from resspect.learn_loop import learn_loop
 
-def test_can_run_learn_loop(test_data_path):
+def test_can_run_learn_loop(test_des_data_path):
     """Test that learn_loop can load data and run."""
     with tempfile.TemporaryDirectory() as dir_name:
         # Create the feature files to use for the learning loop.
         output_file = os.path.join(dir_name, "output_file.dat")
         fit_snpcc(
-            path_to_data_dir=test_data_path,
+            path_to_data_dir=test_des_data_path,
             features_file=output_file,
         )