Feature/unsecret interferometer

autoarray/dataset/interferometer/dataset.py

@@ -1,5 +1,7 @@
+from astropy.io import fits
 import logging
 import numpy as np
+from pathlib import Path
 from typing import Optional
 
 from autoconf import cached_property
@@ -14,6 +16,8 @@
 
 from autoarray.structures.arrays import array_2d_util
 
+from autoarray.inversion.inversion.interferometer import inversion_interferometer_util
+
 logger = logging.getLogger(__name__)
 
 
@@ -25,6 +29,7 @@ def __init__(
         uv_wavelengths: np.ndarray,
         real_space_mask,
         transformer_class=TransformerNUFFT,
+        preprocessing_directory=None,
     ):
         """
         An interferometer dataset, containing the visibilities data, noise-map, real-space msk, Fourier transformer and
@@ -86,6 +91,8 @@ def __init__(
             uv_wavelengths=uv_wavelengths, real_space_mask=real_space_mask
         )
 
+        self.preprocessing_directory = Path(preprocessing_directory) if preprocessing_directory is not None else None
+
     @cached_property
     def grids(self):
         return GridsDataset(
@@ -132,6 +139,27 @@ def from_fits(
             transformer_class=transformer_class,
         )
 
+    def w_tilde_preprocessing(self):
+
+        if self.preprocessing_directory.is_dir():
+
+            filename = "{}/curvature_preload.fits".format(self.preprocessing_directory)
+
+            if not self.preprocessing_directory.isfile(filename):
+                print(
+                    "The file {} does not exist".format(filename)
+                )
+                logger.info("INTERFEROMETER - Computing W-Tilde... May take a moment.")
+
+                curvature_preload = inversion_interferometer_util.w_tilde_curvature_preload_interferometer_from(
+                    noise_map_real=self.noise_map.real,
+                    uv_wavelengths=self.uv_wavelengths,
+                    shape_masked_pixels_2d=self.transformer.grid.mask.shape_native_masked_pixels,
+                    grid_radians_2d=self.transformer.grid.mask.unmasked_grid_sub_1.in_radians.native,
+                )
+
+                fits.writeto(filename, data=curvature_preload)
+
     @cached_property
     def w_tilde(self):
         """
@@ -152,10 +180,8 @@ def w_tilde(self):
 
         logger.info("INTERFEROMETER - Computing W-Tilde... May take a moment.")
 
-        from autoarray.inversion.inversion import inversion_util_secret
-
         curvature_preload = (
-            inversion_util_secret.w_tilde_curvature_preload_interferometer_from(
+            inversion_interferometer_util.w_tilde_curvature_preload_interferometer_from(
                 noise_map_real=np.array(self.noise_map.real),
                 uv_wavelengths=np.array(self.uv_wavelengths),
                 shape_masked_pixels_2d=np.array(
@@ -167,7 +193,7 @@ def w_tilde(self):
             )
         )
 
-        w_matrix = inversion_util_secret.w_tilde_via_preload_from(
+        w_matrix = inversion_interferometer_util.w_tilde_via_preload_from(
             w_tilde_preload=curvature_preload,
             native_index_for_slim_index=self.real_space_mask.derive_indexes.native_for_slim,
         )

autoarray/inversion/inversion/factory.py

@@ -207,11 +207,6 @@ def inversion_interferometer_from(
     -------
     An `Inversion` whose type is determined by the input `dataset` and `settings`.
     """
-    try:
-        from autoarray.inversion.inversion import inversion_util_secret
-    except ImportError:
-        settings.use_w_tilde = False
-
     if any(
         isinstance(linear_obj, AbstractLinearObjFuncList)
         for linear_obj in linear_obj_list