Increasing error tolerances by facter 1e3 (since values of P have also increased by 1e3)

Author: erikvansebille

docs/examples/example_peninsula.py

@@ -185,7 +185,7 @@ def test_peninsula_fieldset(mode, mesh, tmpdir):
     pset = peninsula_example(fieldset, outfile, 5, mode=mode, degree=1)
     # Test advection accuracy by comparing streamline values
     err_adv = np.abs(pset.p_start - pset.p)
-    assert (err_adv <= 1.0e-3).all()
+    assert (err_adv <= 1.0).all()
     # Test Field sampling accuracy by comparing kernel against Field sampling
     err_smpl = np.array(
         [
@@ -196,7 +196,7 @@ def test_peninsula_fieldset(mode, mesh, tmpdir):
             for i in range(pset.size)
         ]
     )
-    assert (err_smpl <= 1.0e-3).all()
+    assert (err_smpl <= 1.0).all()
 
 
 @pytest.mark.parametrize(
@@ -213,7 +213,7 @@ def test_peninsula_fieldset_AnalyticalAdvection(mode, mesh, tmpdir):
     # Test advection accuracy by comparing streamline values
     err_adv = np.array([abs(p.p_start - p.p) for p in pset])
 
-    tol = {"scipy": 3.0e-1, "jit": 1.0e-1}.get(mode)
+    tol = {"scipy": 3.0e2, "jit": 1.0e2}.get(mode)
     assert (err_adv <= tol).all()
 
 
@@ -239,7 +239,7 @@ def test_peninsula_file(mode, mesh, tmpdir):
     pset = peninsula_example(fieldset, outfile, 5, mode=mode, degree=1)
     # Test advection accuracy by comparing streamline values
     err_adv = np.abs(pset.p_start - pset.p)
-    assert (err_adv <= 1.0e-3).all()
+    assert (err_adv <= 1.0).all()
     # Test Field sampling accuracy by comparing kernel against Field sampling
     err_smpl = np.array(
         [
@@ -250,7 +250,7 @@ def test_peninsula_file(mode, mesh, tmpdir):
             for i in range(pset.size)
         ]
     )
-    assert (err_smpl <= 1.0e-3).all()
+    assert (err_smpl <= 1.0).all()
 
 
 def main(args=None):