blck

Author: Jammy2211

autoarray/inversion/inversion/abstract.py

@@ -19,7 +19,6 @@
 from autoarray.structures.arrays.uniform_2d import Array2D
 from autoarray.structures.visibilities import Visibilities
 
-from autoarray import exc
 from autoarray.util import misc_util
 from autoarray.inversion.inversion import inversion_util
 
@@ -639,14 +638,9 @@ def log_det_curvature_reg_matrix_term(self) -> float:
         if not self.has(cls=AbstractRegularization):
             return 0.0
 
-        try:
-            return 2.0 * np.sum(
-                jnp.log(
-                    jnp.diag(jnp.linalg.cholesky(self.curvature_reg_matrix_reduced))
-                )
-            )
-        except np.linalg.LinAlgError as e:
-            raise exc.InversionException() from e
+        return 2.0 * jnp.sum(
+            jnp.log(jnp.diag(jnp.linalg.cholesky(self.curvature_reg_matrix_reduced)))
+        )
 
     @cached_property
     def log_det_regularization_matrix_term(self) -> float:
@@ -665,14 +659,9 @@ def log_det_regularization_matrix_term(self) -> float:
         if not self.has(cls=AbstractRegularization):
             return 0.0
 
-        try:
-            return 2.0 * np.sum(
-                jnp.log(
-                    jnp.diag(jnp.linalg.cholesky(self.regularization_matrix_reduced))
-                )
-            )
-        except np.linalg.LinAlgError as e:
-            raise exc.InversionException() from e
+        return 2.0 * jnp.sum(
+            jnp.log(jnp.diag(jnp.linalg.cholesky(self.regularization_matrix_reduced)))
+        )
 
     @property
     def reconstruction_noise_map_with_covariance(self) -> np.ndarray:

autoarray/inversion/pixelization/mappers/mapper_util.py

@@ -4,10 +4,6 @@
 import numpy as np
 from typing import Tuple
 
-from autoconf import conf
-
-from autoarray import exc
-
 
 def forward_interp(xp, yp, x):
     return jax.vmap(jnp.interp, in_axes=(1, 1, None, None, None))(x, xp, yp, 0, 1).T

test_autoarray/conftest.py

@@ -156,6 +156,11 @@ def make_masked_imaging_7x7_no_blur():
     return fixtures.make_masked_imaging_7x7_no_blur()
 
 
+@pytest.fixture(name="masked_imaging_7x7_no_blur_sub_2")
+def make_masked_imaging_7x7_no_blur_sub_2():
+    return fixtures.make_masked_imaging_7x7_no_blur_sub_2()
+
+
 @pytest.fixture(name="model_image_7x7")
 def make_model_image_7x7():
     return fixtures.make_model_image_7x7()