From 85748f17064502598838fb6ba929d4395150780e Mon Sep 17 00:00:00 2001
From: amberchen122 <csjchen@ucdavis.edu>
Date: Mon, 9 Sep 2024 23:34:33 -0700
Subject: [PATCH] fix test bugs

---
 grid_geoflow.exo           | Bin 0 -> 580356 bytes
 test/test_helpers.py       |   5 +-
 test/test_integrate.py     |  33 +++++--
 test/test_intersections.py | 178 ++++++++++++++++++++++++-------------
 4 files changed, 145 insertions(+), 71 deletions(-)
 create mode 100644 grid_geoflow.exo

diff --git a/grid_geoflow.exo b/grid_geoflow.exo
new file mode 100644
index 0000000000000000000000000000000000000000..e49b00e4f42554ed108bd0acbb18921ee0da3ca9
GIT binary patch
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literal 0
HcmV?d00001

diff --git a/test/test_helpers.py b/test/test_helpers.py
index c5b923a26..079c8c3e6 100644
--- a/test/test_helpers.py
+++ b/test/test_helpers.py
@@ -261,6 +261,9 @@ def test_get_cartesian_face_edge_nodes_pipeline(self):
         node_y = grid.node_y.values
         node_z = grid.node_z.values
 
+        # node_lat = grid.node_lat.values
+        # node_lon = grid.node_lon.values
+
         # Call the function to test
         face_edges_connectivity_cartesian = _get_cartesian_face_edge_nodes(
             face_node_conn, n_face, n_max_face_edges, node_x, node_y, node_z
@@ -268,7 +271,7 @@ def test_get_cartesian_face_edge_nodes_pipeline(self):
 
         # Check that the face_edges_connectivity_cartesian works as an input to _pole_point_inside_polygon
         result = ux.grid.geometry._pole_point_inside_polygon(
-            'North', face_edges_connectivity_cartesian[0]
+            'North', face_edges_connectivity_cartesian[0], 
         )
 
         # Assert that the result is True
diff --git a/test/test_integrate.py b/test/test_integrate.py
index 078f355cf..845758ca1 100644
--- a/test/test_integrate.py
+++ b/test/test_integrate.py
@@ -69,14 +69,22 @@ def test_get_zonal_face_interval(self):
                            [0.4 * np.pi, 0.25 * np.pi]]
         vertices = [_lonlat_rad_to_xyz(*v) for v in vertices_lonlat]
 
-        face_edge_nodes = np.array([[vertices[0], vertices[1]],
+        face_edge_nodes_cart = np.array([[vertices[0], vertices[1]],
                                     [vertices[1], vertices[2]],
                                     [vertices[2], vertices[3]],
                                     [vertices[3], vertices[0]]])
+        face_edge_nodes_rad = np.array([
+                                            [vertices_lonlat[0], vertices_lonlat[1]],
+                                            [vertices_lonlat[1], vertices_lonlat[2]],
+                                            [vertices_lonlat[2], vertices_lonlat[3]],
+                                            [vertices_lonlat[3], vertices_lonlat[0]]
+                                        ])
 
         constZ = np.sin(0.20)
         # The latlon bounds for the latitude is not necessarily correct below since we don't use the latitudes bound anyway
-        interval_df = _get_zonal_face_interval(face_edge_nodes, constZ,
+        interval_df = _get_zonal_face_interval(face_edge_nodes_cart,
+                                               face_edge_nodes_rad,
+                                               constZ,
                                                np.array([[-0.25 * np.pi, 0.25 * np.pi], [1.6 * np.pi,
                                                                                          0.4 * np.pi]]),
                                                is_directed=False)
@@ -94,6 +102,7 @@ def test_get_zonal_face_interval(self):
         # Asserting almost equal arrays
         nt.assert_array_almost_equal(actual_values_sorted, expected_values_sorted, decimal=13)
 
+    # TODO: ERROR
     def test_get_zonal_face_interval_GCA_constLat(self):
         """Test that the zonal face weights are correct."""
         vertices_lonlat = [[-0.4 * np.pi, 0.25 * np.pi],
@@ -103,13 +112,16 @@ def test_get_zonal_face_interval_GCA_constLat(self):
 
         vertices = [_lonlat_rad_to_xyz(*v) for v in vertices_lonlat]
 
-        face_edge_nodes = np.array([[vertices[0], vertices[1]],
+        face_edge_nodes_cart = np.array([[vertices[0], vertices[1]],
                                     [vertices[1], vertices[2]],
                                     [vertices[2], vertices[3]],
                                     [vertices[3], vertices[0]]])
-
+        face_edge_nodes_rad = np.array([[vertices_lonlat[0], vertices_lonlat[1]],
+                                        [vertices_lonlat[1], vertices_lonlat[2]],
+                                        [vertices_lonlat[2], vertices_lonlat[3]],
+                                        [vertices_lonlat[3], vertices_lonlat[0]]])
         constZ = np.sin(0.20 * np.pi)
-        interval_df = _get_zonal_face_interval(face_edge_nodes, constZ,
+        interval_df = _get_zonal_face_interval(face_edge_nodes_cart, face_edge_nodes_rad, constZ,
                                                np.array([[-0.25 * np.pi, 0.25 * np.pi], [1.6 * np.pi,
                                                                                          0.4 * np.pi]]),
                                                is_directed=False, is_GCA_list=np.array([True, False, True, False]))
@@ -127,6 +139,7 @@ def test_get_zonal_face_interval_GCA_constLat(self):
         # Asserting almost equal arrays
         nt.assert_array_almost_equal(actual_values_sorted, expected_values_sorted, decimal=13)
 
+    # TODO: ERROR
     def test_get_zonal_face_interval_equator(self):
         """Test that the zonal face weights are correct."""
         vertices_lonlat = [[-0.4 * np.pi, 0.25 * np.pi], [-0.4 * np.pi, 0.0],
@@ -134,12 +147,16 @@ def test_get_zonal_face_interval_equator(self):
 
         vertices = [_lonlat_rad_to_xyz(*v) for v in vertices_lonlat]
 
-        face_edge_nodes = np.array([[vertices[0], vertices[1]],
+        face_edge_nodes_cart = np.array([[vertices[0], vertices[1]],
                                     [vertices[1], vertices[2]],
                                     [vertices[2], vertices[3]],
                                     [vertices[3], vertices[0]]])
+        face_edge_nodes_rad = np.array([[vertices_lonlat[0], vertices_lonlat[1]],
+                                        [vertices_lonlat[1], vertices_lonlat[2]],
+                                        [vertices_lonlat[2], vertices_lonlat[3]],
+                                        [vertices_lonlat[3], vertices_lonlat[0]]])
 
-        interval_df = _get_zonal_face_interval(face_edge_nodes, 0.0,
+        interval_df = _get_zonal_face_interval(face_edge_nodes_cart, face_edge_nodes_rad, 0.0,
                                                np.array([[-0.25 * np.pi, 0.25 * np.pi], [1.6 * np.pi,
                                                                                          0.4 * np.pi]]),
                                                is_directed=False, is_GCA_list=np.array([True, True, True, True]))
@@ -158,7 +175,7 @@ def test_get_zonal_face_interval_equator(self):
         nt.assert_array_almost_equal(actual_values_sorted, expected_values_sorted, decimal=13)
 
         # Even if we change the is_GCA_list to False, the result should be the same
-        interval_df = _get_zonal_face_interval(face_edge_nodes, 0.0,
+        interval_df = _get_zonal_face_interval(face_edge_nodes_cart, 0.0,
                                                np.array([[-0.25 * np.pi, 0.25 * np.pi], [1.6 * np.pi,
                                                                                          0.4 * np.pi]]),
                                                is_directed=False, is_GCA_list=np.array([True, False, True, False]))
diff --git a/test/test_intersections.py b/test/test_intersections.py
index b134d9029..5a7184c2e 100644
--- a/test/test_intersections.py
+++ b/test/test_intersections.py
@@ -13,129 +13,183 @@ class TestGCAGCAIntersection(TestCase):
 
     def test_get_GCA_GCA_intersections_antimeridian(self):
         # Test the case where the two GCAs are on the antimeridian
-
-
-
-
-        GCA1 = _lonlat_rad_to_xyz(np.deg2rad(170.0), np.deg2rad(89.99))
+        GCR1_rad = np.array([
+                                [np.deg2rad(170.0), np.deg2rad(89.99)],
+                                [np.deg2rad(170.0), np.deg2rad(10.0)]
+                            ])
         GCR1_cart = np.array([
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                                    np.deg2rad(89.99)),
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                                    np.deg2rad(10.0))
+            _lonlat_rad_to_xyz(GCR1_rad[0][0], GCR1_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR1_rad[1][0], GCR1_rad[1][1])
         ])
+        GCR2_rad = np.array([
+                                [np.deg2rad(70.0), np.deg2rad(0.0)],
+                                [np.deg2rad(179.0), np.deg2rad(0.0)]
+                            ])
         GCR2_cart = np.array([
-            _lonlat_rad_to_xyz(np.deg2rad(70.0), 0.0),
-            _lonlat_rad_to_xyz(np.deg2rad(179.0), 0.0)
+            _lonlat_rad_to_xyz(GCR2_rad[0][0], GCR2_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR2_rad[1][0], GCR2_rad[1][1])
         ])
-        res_cart = gca_gca_intersection(GCR1_cart, GCR2_cart)
+        res_cart = gca_gca_intersection(GCR1_cart, GCR1_rad, GCR2_cart, GCR2_rad)
 
         # res_cart should be empty since these two GCRs are not intersecting
         self.assertTrue(np.array_equal(res_cart, np.array([])))
 
+        GCR1_rad = np.array([
+                                [np.deg2rad(170.0), np.deg2rad(89.0)],
+                                [np.deg2rad(170.0), np.deg2rad(-10.0)]
+                                ])
         GCR1_cart = np.array([
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                                    np.deg2rad(89.0)),
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                                    np.deg2rad(-10.0))
+            _lonlat_rad_to_xyz(GCR1_rad[0][0], GCR1_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR1_rad[1][0], GCR1_rad[1][1])
+        ])
+        GCR2_rad = np.array([
+            [np.deg2rad(70.0), 0.0],
+            [np.deg2rad(175.0), 0.0]
         ])
         GCR2_cart = np.array([
-            _lonlat_rad_to_xyz(np.deg2rad(70.0), 0.0),
-            _lonlat_rad_to_xyz(np.deg2rad(175.0), 0.0)
+            _lonlat_rad_to_xyz(GCR2_rad[0][0], GCR2_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR2_rad[1][0], GCR2_rad[1][1])
         ])
 
-        res_cart = gca_gca_intersection(GCR1_cart, GCR2_cart)
+        res_cart = gca_gca_intersection(GCR1_cart, GCR1_rad, GCR2_cart, GCR2_rad)
+
 
         # Test if the result is normalized
         self.assertTrue(
-            np.allclose(np.linalg.norm(res_cart, axis=0),
-                        1.0,
-                        atol=ERROR_TOLERANCE))
+                            np.allclose(    np.linalg.norm(res_cart, axis=0),
+                                            1.0,
+                                            atol=ERROR_TOLERANCE
+                                            )
+                        )
         res_lonlat_rad = _xyz_to_lonlat_rad(res_cart[0], res_cart[1], res_cart[2])
 
         # res_cart should be [170, 0]
         self.assertTrue(
-            np.array_equal(res_lonlat_rad,
-                           np.array([np.deg2rad(170.0),
-                                     np.deg2rad(0.0)])))
+                            np.array_equal( res_lonlat_rad,
+                                            np.array([np.deg2rad(170.0), np.deg2rad(0.0)])
+                                            )
+                        )
 
     def test_get_GCA_GCA_intersections_parallel(self):
         # Test the case where the two GCAs are parallel
+        GCR1_rad = np.array([
+            [0.3 * np.pi, 0.0],
+            [0.5 * np.pi, 0.0]
+        ])
         GCR1_cart = np.array([
-            _lonlat_rad_to_xyz(0.3 * np.pi, 0.0),
-            _lonlat_rad_to_xyz(0.5 * np.pi, 0.0)
+            _lonlat_rad_to_xyz(GCR1_rad[0][0], GCR1_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR1_rad[1][0], GCR1_rad[1][1])
+        ])
+        GCR2_rad = np.array([
+            [0.5 * np.pi, 0.0],
+            [-0.5 * np.pi - 0.01, 0.0]
         ])
         GCR2_cart = np.array([
-            _lonlat_rad_to_xyz(0.5 * np.pi, 0.0),
-            _lonlat_rad_to_xyz(-0.5 * np.pi - 0.01, 0.0)
+            _lonlat_rad_to_xyz(GCR2_rad[0][0], GCR2_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR2_rad[1][0], GCR2_rad[1][1])
         ])
-        res_cart = gca_gca_intersection(GCR1_cart, GCR2_cart)
+
+        # Update the function call to pass both Cartesian and lat/lon in radians
+        res_cart = gca_gca_intersection(GCR1_cart, GCR1_rad, GCR2_cart, GCR2_rad)
+
         self.assertTrue(np.array_equal(res_cart, np.array([])))
 
     def test_get_GCA_GCA_intersections_perpendicular(self):
         # Test the case where the two GCAs are perpendicular to each other
+        GCR1_rad = np.array([
+            [np.deg2rad(170.0), np.deg2rad(0.0)],
+            [np.deg2rad(170.0), np.deg2rad(10.0)]
+        ])
         GCR1_cart = np.array([
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                                    np.deg2rad(0.0)),
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                                    np.deg2rad(10.0))
+            _lonlat_rad_to_xyz(GCR1_rad[0][0], GCR1_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR1_rad[1][0], GCR1_rad[1][1])
+        ])
+        GCR2_rad = np.array([
+            [0.5 * np.pi, 0.0],
+            [-0.5 * np.pi - 0.01, 0.0]
         ])
         GCR2_cart = np.array([
-            _lonlat_rad_to_xyz(*[0.5 * np.pi, 0.0]),
-            _lonlat_rad_to_xyz(*[-0.5 * np.pi - 0.01, 0.0])
+            _lonlat_rad_to_xyz(GCR2_rad[0][0], GCR2_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR2_rad[1][0], GCR2_rad[1][1])
         ])
-        res_cart = gca_gca_intersection(GCR1_cart, GCR2_cart)
+
+        # Update the function call to pass both Cartesian and lat/lon in radians
+        res_cart = gca_gca_intersection(GCR1_cart, GCR1_rad, GCR2_cart, GCR2_rad)
 
         # Test if the result is normalized
         self.assertTrue(
-            np.allclose(np.linalg.norm(res_cart, axis=0),
-                        1.0,
-                        atol=ERROR_TOLERANCE))
+                            np.allclose(np.linalg.norm(res_cart, axis=0),
+                                        1.0,
+                                        atol=ERROR_TOLERANCE
+                                        )
+                        )
         res_lonlat_rad = _xyz_to_lonlat_rad(*res_cart)
         self.assertTrue(
-            np.allclose(res_lonlat_rad,
-                        np.array([np.deg2rad(170.0),
-                                  np.deg2rad(0.0)])))
+                            np.allclose(res_lonlat_rad,
+                                        np.array([np.deg2rad(170.0),
+                                        np.deg2rad(0.0)])
+                                        )
+                        )
 
 
 class TestGCAconstLatIntersection(TestCase):
 
     def test_GCA_constLat_intersections_antimeridian(self):
+        GCR1_rad = np.array([
+            [np.deg2rad(170.0), np.deg2rad(89.99)],
+            [np.deg2rad(170.0), np.deg2rad(10.0)]
+        ])
         GCR1_cart = np.array([
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                              np.deg2rad(89.99)),
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                              np.deg2rad(10.0))
+            _lonlat_rad_to_xyz(GCR1_rad[0][0], GCR1_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR1_rad[1][0], GCR1_rad[1][1])
         ])
 
-        res = gca_constLat_intersection(GCR1_cart, np.sin(np.deg2rad(60.0)), verbose=True)
+        # Update the function call to pass both Cartesian and lat/lon in radians
+        res = gca_constLat_intersection(GCR1_cart, GCR1_rad, np.sin(np.deg2rad(60.0)), verbose=True)
+
         res_lonlat_rad = _xyz_to_lonlat_rad(*(res[0].tolist()))
         self.assertTrue(
-            np.allclose(res_lonlat_rad,
-                        np.array([np.deg2rad(170.0),
-                                  np.deg2rad(60.0)])))
+                            np.allclose(
+                                            res_lonlat_rad,
+                                            np.array([np.deg2rad(170.0), np.deg2rad(60.0)])
+                                        )
+                        )
 
     def test_GCA_constLat_intersections_empty(self):
+        GCR1_rad = np.array([
+            [np.deg2rad(170.0), np.deg2rad(89.99)],
+            [np.deg2rad(170.0), np.deg2rad(10.0)]
+        ])
         GCR1_cart = np.array([
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                                    np.deg2rad(89.99)),
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                                    np.deg2rad(10.0))
+            _lonlat_rad_to_xyz(GCR1_rad[0][0], GCR1_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR1_rad[1][0], GCR1_rad[1][1])
         ])
 
-        res = gca_constLat_intersection(GCR1_cart, np.sin(np.deg2rad(-10.0)), verbose=False)
+        # Update the function call to pass both Cartesian and lat/lon in radians
+        res = gca_constLat_intersection(GCR1_cart, GCR1_rad, np.sin(np.deg2rad(-10.0)), verbose=False)
+
         self.assertTrue(res.size == 0)
 
+
     def test_GCA_constLat_intersections_two_pts(self):
+        GCR1_rad = np.array(
+                                [
+                                    [np.deg2rad(10.0), np.deg2rad(10.0)],
+                                    [np.deg2rad(170.0), np.deg2rad(10.0)]
+                                ]
+                            )
         GCR1_cart = np.array([
-            _lonlat_rad_to_xyz(np.deg2rad(10.0),
-                                    np.deg2rad(10)),
-            _lonlat_rad_to_xyz(np.deg2rad(170.0),
-                                    np.deg2rad(10.0))
+            _lonlat_rad_to_xyz(GCR1_rad[0][0], GCR1_rad[0][1]),
+            _lonlat_rad_to_xyz(GCR1_rad[1][0], GCR1_rad[1][1])
         ])
-        max_lat = ux.grid.arcs.extreme_gca_latitude(GCR1_cart, 'max')
 
+        # Calculate the maximum latitude and query latitude
+        max_lat = ux.grid.arcs.extreme_gca_latitude(GCR1_cart, 'max')
         query_lat = (np.deg2rad(10.0) + max_lat) / 2.0
 
-        res = gca_constLat_intersection(GCR1_cart, np.sin(query_lat), verbose=False)
+        # Update the function call to pass both Cartesian and lat/lon in radians
+        res = gca_constLat_intersection(GCR1_cart, GCR1_rad, np.sin(query_lat), verbose=False)
+
+        # Assert the expected result
         self.assertTrue(res.shape[0] == 2)
+