add: add first new baseline, now that the workflow runs

tests/test_regression.py

@@ -110,7 +110,7 @@ def append_to_json(fpath, test_name, input_kwargs, runtimes):
 
 
 class compare_to_baseline:
-    def __init__(self, baseline_iters=1, test_iters=1):
+    def __init__(self, baseline_iters=3, test_iters=1):
         self.baseline_iters = baseline_iters
         self.test_iters = test_iters
 
@@ -186,13 +186,13 @@ def build_net(num_cells, artificial=True, connect=True, connection_prob=0.0):
     (
         # Test a single SWC cell with both solvers.
         pytest.param(1, False, False, 0.0, "jaxley.stone"),
-        # pytest.param(1, False, False, 0.0, "jax.sparse"),
-        # # Test a network of SWC cells with both solvers.
-        # pytest.param(10, False, True, 0.1, "jaxley.stone"),
-        # pytest.param(10, False, True, 0.1, "jax.sparse"),
-        # # Test a larger network of smaller neurons with both solvers.
-        # pytest.param(1000, True, True, 0.001, "jaxley.stone"),
-        # pytest.param(1000, True, True, 0.001, "jax.sparse"),
+        pytest.param(1, False, False, 0.0, "jax.sparse"),
+        # Test a network of SWC cells with both solvers.
+        pytest.param(10, False, True, 0.1, "jaxley.stone"),
+        pytest.param(10, False, True, 0.1, "jax.sparse"),
+        # Test a larger network of smaller neurons with both solvers.
+        pytest.param(1000, True, True, 0.001, "jaxley.stone"),
+        pytest.param(1000, True, True, 0.001, "jax.sparse"),
     ),
 )
 @compare_to_baseline(baseline_iters=3)