JIT Cleanup

uxarray/constants.py

@@ -16,9 +16,6 @@
 # error tolerance, mainly in the intersection calculations.
 MACHINE_EPSILON = np.float64(np.finfo(float).eps)
 
-ENABLE_JIT_CACHE = True
-ENABLE_JIT = True
-
 ENABLE_FMA = False
 
 GRID_DIMS = ["n_node", "n_edge", "n_face"]

uxarray/grid/arcs.py

@@ -27,7 +27,7 @@ def _to_list(obj):
     return obj
 
 
-@njit
+@njit(cache=True)
 def _point_within_gca_body(
     angle, gca_cart, pt, GCRv0_lonlat, GCRv1_lonlat, pt_lonlat, is_directed
 ):
@@ -244,7 +244,7 @@ def point_within_gca(pt, gca_cart, is_directed=False):
     return out
 
 
-@njit
+@njit(cache=True)
 def in_between(p, q, r) -> bool:
     """Determines whether the number q is between p and r.
 
@@ -266,7 +266,7 @@ def in_between(p, q, r) -> bool:
     return p <= q <= r or r <= q <= p
 
 
-@njit
+@njit(cache=True)
 def _decide_pole_latitude(lat1, lat2):
     """Determine the pole latitude based on the latitudes of two points on a
     Great Circle Arc (GCA).

uxarray/grid/area.py

@@ -2,13 +2,10 @@
 
 from uxarray.grid.coordinates import _lonlat_rad_to_xyz
 
-from numba import njit, config
-from uxarray.constants import ENABLE_JIT_CACHE, ENABLE_JIT
+from numba import njit
 
-config.DISABLE_JIT = not ENABLE_JIT
 
-
-@njit(cache=ENABLE_JIT_CACHE)
+@njit(cache=True)
 def calculate_face_area(
     x, y, z, quadrature_rule="gaussian", order=4, coords_type="spherical"
 ):
@@ -98,7 +95,7 @@ def calculate_face_area(
     return area, jacobian
 
 
-@njit(cache=ENABLE_JIT_CACHE)
+@njit(cache=True)
 def get_all_face_area_from_coords(
     x,
     y,
@@ -173,7 +170,7 @@ def get_all_face_area_from_coords(
     return area, jacobian
 
 
-@njit(cache=ENABLE_JIT_CACHE)
+@njit(cache=True)
 def calculate_spherical_triangle_jacobian(node1, node2, node3, dA, dB):
     """Calculate Jacobian of a spherical triangle. This is a helper function
     for calculating face area.
@@ -263,7 +260,7 @@ def calculate_spherical_triangle_jacobian(node1, node2, node3, dA, dB):
     return dJacobian
 
 
-@njit(cache=ENABLE_JIT_CACHE)
+@njit(cache=True)
 def calculate_spherical_triangle_jacobian_barycentric(node1, node2, node3, dA, dB):
     """Calculate Jacobian of a spherical triangle. This is a helper function
     for calculating face area.
@@ -342,7 +339,7 @@ def calculate_spherical_triangle_jacobian_barycentric(node1, node2, node3, dA, d
     return 0.5 * dJacobian
 
 
-@njit(cache=ENABLE_JIT_CACHE)
+@njit(cache=True)
 def get_gauss_quadratureDG(nCount):
     """Gauss Quadrature Points for integration.
 
@@ -587,7 +584,7 @@ def get_gauss_quadratureDG(nCount):
     return dG, dW
 
 
-@njit(cache=ENABLE_JIT_CACHE)
+@njit(cache=True)
 def get_tri_quadratureDG(nOrder):
     """Triangular Quadrature Points for integration.
 

uxarray/grid/connectivity.py

@@ -142,7 +142,7 @@ def _populate_n_nodes_per_face(grid):
     )
 
 
-@njit()
+@njit(cache=True)
 def _build_n_nodes_per_face(face_nodes, n_face, n_max_face_nodes):
     """Constructs ``n_nodes_per_face``, which contains the number of non-fill-
     value nodes for each face in ``face_node_connectivity``"""
@@ -251,7 +251,7 @@ def _populate_edge_face_connectivity(grid):
     )
 
 
-@njit
+@njit(cache=True)
 def _build_edge_face_connectivity(face_edges, n_nodes_per_face, n_edge):
     """Helper for (``edge_face_connectivity``) construction."""
     edge_faces = np.ones(shape=(n_edge, 2), dtype=face_edges.dtype) * INT_FILL_VALUE

uxarray/grid/coordinates.py

@@ -26,7 +26,7 @@ def _lonlat_rad_to_xyz(
     return x, y, z
 
 
-@njit
+@njit(cache=True)
 def _xyz_to_lonlat_rad_no_norm(
     x: Union[np.ndarray, float],
     y: Union[np.ndarray, float],
@@ -67,7 +67,7 @@ def _xyz_to_lonlat_rad_no_norm(
     return lon, lat
 
 
-@njit
+@njit(cache=True)
 def _xyz_to_lonlat_rad_scalar(
     x: Union[np.ndarray, float],
     y: Union[np.ndarray, float],
@@ -217,7 +217,7 @@ def _normalize_xyz(
     return x_norm, y_norm, z_norm
 
 
-@njit
+@njit(cache=True)
 def _normalize_xyz_scalar(x: float, y: float, z: float):
     denom = np.linalg.norm(np.asarray(np.array([x, y, z]), dtype=np.float64), ord=2)
     x_norm = x / denom
@@ -430,7 +430,7 @@ def _smallest_enclosing_circle(points):
     return _welzl_recursive(points, np.empty((0, 2)), None)
 
 
-@njit
+@njit(cache=True)
 def _circle_from_two_points(p1, p2):
     """Calculate the smallest circle that encloses two points on a unit sphere.
 
@@ -459,7 +459,7 @@ def _circle_from_two_points(p1, p2):
     return center, radius
 
 
-@njit
+@njit(cache=True)
 def _circle_from_three_points(p1, p2, p3):
     """Calculate the smallest circle that encloses three points on a unit
     sphere. This is a placeholder implementation.
@@ -499,7 +499,7 @@ def _circle_from_three_points(p1, p2, p3):
     return center, radius
 
 
-@njit
+@njit(cache=True)
 def _is_inside_circle(circle, point):
     """Check if a point is inside a given circle on a unit sphere.
 
@@ -763,7 +763,7 @@ def _xyz_to_lonlat_rad(
     return lon, lat
 
 
-@njit
+@njit(cache=True)
 def _xyz_to_lonlat_rad_no_norm(
     x: Union[np.ndarray, float],
     y: Union[np.ndarray, float],
@@ -870,7 +870,7 @@ def _xyz_to_lonlat_deg(
     return lon, lat
 
 
-@njit
+@njit(cache=True)
 def _normalize_xyz_scalar(x: float, y: float, z: float):
     denom = np.linalg.norm(np.asarray(np.array([x, y, z]), dtype=np.float64), ord=2)
     x_norm = x / denom

uxarray/grid/dual.py

@@ -2,7 +2,6 @@
 from uxarray.constants import INT_FILL_VALUE, INT_DTYPE
 
 from numba import njit
-from uxarray.constants import ENABLE_JIT_CACHE
 
 
 def construct_dual(grid):
@@ -53,7 +52,7 @@ def construct_dual(grid):
     return new_node_face_connectivity
 
 
-@njit(cache=ENABLE_JIT_CACHE)
+@njit(cache=True)
 def construct_faces(
     n_node,
     n_edges,
@@ -146,7 +145,7 @@ def construct_faces(
     return construct_node_face_connectivity
 
 
-@njit(cache=ENABLE_JIT_CACHE)
+@njit(cache=True)
 def _order_nodes(
     temp_face,
     node_0,

uxarray/grid/geometry.py

@@ -12,7 +12,11 @@
 from spatialpandas.geometry import MultiPolygonArray, PolygonArray
 import xarray as xr
 
-from uxarray.constants import ERROR_TOLERANCE, INT_DTYPE, INT_FILL_VALUE
+from uxarray.constants import (
+    ERROR_TOLERANCE,
+    INT_DTYPE,
+    INT_FILL_VALUE,
+)
 from uxarray.grid.arcs import extreme_gca_latitude, point_within_gca
 from uxarray.grid.intersections import gca_gca_intersection
 from uxarray.grid.utils import (
@@ -80,7 +84,7 @@ def error_radius(p1, p2):
     return unique_points
 
 
-@njit
+@njit(cache=True)
 def _pad_closed_face_nodes(
     face_node_connectivity, n_face, n_max_face_nodes, n_nodes_per_face
 ):

uxarray/grid/neighbors.py

@@ -855,7 +855,7 @@ def _populate_edge_node_distances(grid):
     )
 
 
-@njit
+@njit(cache=True)
 def _construct_edge_node_distances(node_lon, node_lat, edge_nodes):
     """Helper for computing the arc-distance between nodes compose each
     edge."""
@@ -890,7 +890,7 @@ def _populate_edge_face_distances(grid):
     )
 
 
-@njit
+@njit(cache=True)
 def _construct_edge_face_distances(node_lon, node_lat, edge_faces):
     """Helper for computing the arc-distance between faces that saddle a given
     edge."""

uxarray/grid/utils.py

@@ -6,7 +6,7 @@
 from numba import njit
 
 
-@njit
+@njit(cache=True)
 def _angle_of_2_vectors(u, v):
     """Calculate the angle between two 3D vectors u and v in radians. Can be
     used to calcualte the span of a GCR.

uxarray/utils/computing.py

@@ -4,7 +4,7 @@
 from numba import njit
 
 
-@njit
+@njit(cache=True)
 def all(a):
     """Numba decorated implementation of ``np.all()``
 
@@ -16,7 +16,7 @@ def all(a):
     return np.all(a)
 
 
-@njit
+@njit(cache=True)
 def isclose(a, b, rtol=1e-05, atol=1e-08):
     """Numba decorated implementation of ``np.isclose()``
 
@@ -28,7 +28,7 @@ def isclose(a, b, rtol=1e-05, atol=1e-08):
     return np.isclose(a, b, rtol=rtol, atol=atol)
 
 
-@njit
+@njit(cache=True)
 def allclose(a, b, rtol=1e-05, atol=1e-08):
     """Numba decorated implementation of ``np.allclose()``
 
@@ -39,7 +39,7 @@ def allclose(a, b, rtol=1e-05, atol=1e-08):
     return np.allclose(a, b, rtol=rtol, atol=atol)
 
 
-@njit
+@njit(cache=True)
 def cross(a, b):
     """Numba decorated implementation of ``np.cross()``
 
@@ -50,7 +50,7 @@ def cross(a, b):
     return np.cross(a, b)
 
 
-@njit
+@njit(cache=True)
 def dot(a, b):
     """Numba decorated implementation of ``np.dot()``
 
@@ -61,7 +61,7 @@ def dot(a, b):
     return np.dot(a, b)
 
 
-@njit
+@njit(cache=True)
 def norm(x):
     """Numba decorated implementation of ``np.linalg.norm()``