Merge pull request #158 from ickc/feature/jax_wrapper-mask_2d_circula…

…r_from

fix jit on mask_2d_circular_from

autoarray/mask/mask_2d_util.py

@@ -81,7 +81,7 @@ def total_pixels_2d_from(mask_2d: np.ndarray) -> int:
         return total_regular_pixels
 
 
-@numba_util.jit()
+@numba_util.jit(static_argnums=0)
 def mask_2d_circular_from(
     shape_native: Tuple[int, int],
     pixel_scales: ty.PixelScales,
@@ -114,24 +114,12 @@ def mask_2d_circular_from(
     mask = mask_circular_from(
         shape=(10, 10), pixel_scales=0.1, radius=0.5, centre=(0.0, 0.0))
     """
-
-    mask_2d = np.full(shape_native, True)
-
-    centres_scaled = mask_2d_centres_from(
-        shape_native=mask_2d.shape, pixel_scales=pixel_scales, centre=centre
-    )
-
-    for y in range(mask_2d.shape[0]):
-        for x in range(mask_2d.shape[1]):
-            y_scaled = (y - centres_scaled[0]) * pixel_scales[0]
-            x_scaled = (x - centres_scaled[1]) * pixel_scales[1]
-
-            r_scaled = np.sqrt(x_scaled**2 + y_scaled**2)
-
-            if r_scaled <= radius:
-                mask_2d[y, x] = False
-
-    return mask_2d
+    centres_scaled = mask_2d_centres_from(shape_native, pixel_scales, centre)
+    ys, xs = np.indices(shape_native)
+    return (radius * radius) < (
+            np.square((ys - centres_scaled[0]) * pixel_scales[0]) +
+            np.square((xs - centres_scaled[1]) * pixel_scales[1])
+        )
 
 
 @numba_util.jit()