refactor: split structures tests into granular focused tests

Split monolithic test functions in the arrays and grids test files into
individual focused tests. Each test now has a name that encodes the input
condition and expected outcome, so failures identify the exact scenario.
Applied @pytest.mark.parametrize where the same logic runs over multiple
equivalent inputs (resize shapes, kernel sizes for pad/trim).

Changes per file:
- test_uniform_1d.py (arrays): 8 tests → 14 tests; from_fits and header
  tests split by file size; recursive_shape_storage split by mask presence
- test_uniform_2d.py (arrays): 17 tests → 33 tests; constructor split into
  4 cases; resized_from parametrized over 2 shapes; padded/trimmed_from
  parametrized over kernel sizes; binned and brightest tests split by scenario
- test_uniform_1d.py (grids): 8 tests → 12 tests; constructor, no_mask,
  from_mask, uniform, uniform_from_zero, and grid_2d_radial split
- test_uniform_2d.py (grids): 21 tests → 24 tests; constructor exception
  split into too-many/too-few; no_mask and uniform split by scenario;
  bounding_box tests split with/without buffer variant

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

Author: 2 people

test_autoarray/structures/arrays/test_uniform_1d.py

@@ -2,6 +2,7 @@
 from os import path
 import os
 import numpy as np
+import pytest
 import shutil
 
 import autoarray as aa
@@ -39,7 +40,7 @@ def clean_fits(fits_path):
         shutil.rmtree(fits_path)
 
 
-def test__constructor():
+def test__constructor__with_partial_mask__masked_pixels_set_to_zero_in_native():
     mask = aa.Mask1D(
         mask=[True, False, False, True, False, False],
         pixel_scales=1.0,
@@ -55,7 +56,7 @@ def test__constructor():
     assert array_1d.origin == (0.0,)
 
 
-def test__no_mask():
+def test__no_mask__4_element_array__native_slim_and_grid_radial_correct():
     array_1d = aa.Array1D.no_mask(values=[1.0, 2.0, 3.0, 4.0], pixel_scales=1.0)
 
     assert type(array_1d) == aa.Array1D
@@ -67,7 +68,7 @@ def test__no_mask():
     assert array_1d.origin == (0.0,)
 
 
-def test__full():
+def test__full__fill_value_1_shape_4__all_elements_equal_fill_value():
     array_1d = aa.Array1D.full(
         fill_value=1.0, shape_native=4, pixel_scales=1.0, origin=(4.0,)
     )
@@ -80,7 +81,7 @@ def test__full():
     assert array_1d.origin == (4.0,)
 
 
-def test__ones():
+def test__ones__shape_3_pixel_scale_3__all_native_elements_are_one():
     array_1d = aa.Array1D.ones(shape_native=3, pixel_scales=3.0, origin=(4.0,))
 
     assert type(array_1d) == aa.Array1D
@@ -91,7 +92,7 @@ def test__ones():
     assert array_1d.origin == (4.0,)
 
 
-def test__zeros():
+def test__zeros__shape_3_pixel_scale_3__all_native_elements_are_zero():
     array_1d = aa.Array1D.zeros(shape_native=3, pixel_scales=3.0, origin=(4.0,))
 
     assert type(array_1d) == aa.Array1D
@@ -102,7 +103,7 @@ def test__zeros():
     assert array_1d.origin == (4.0,)
 
 
-def test__from_fits():
+def test__from_fits__3_element_fits__native_and_slim_are_ones():
     create_fits(fits_path=fits_path)
 
     arr = aa.Array1D.from_fits(
@@ -113,6 +114,12 @@ def test__from_fits():
     assert (arr.native == np.ones((3,))).all()
     assert (arr.slim == np.ones(3)).all()
 
+    clean_fits(fits_path=fits_path)
+
+
+def test__from_fits__4_element_fits__native_slim_and_array_are_ones():
+    create_fits(fits_path=fits_path)
+
     arr = aa.Array1D.from_fits(
         file_path=path.join(fits_path, "4_ones.fits"), hdu=0, pixel_scales=1.0
     )
@@ -125,7 +132,7 @@ def test__from_fits():
     clean_fits(fits_path=fits_path)
 
 
-def test__from_fits__loads_and_stores_header_info():
+def test__from_fits__3_element_fits__header_bitpix_is_minus_64():
     create_fits(fits_path=fits_path)
 
     arr = aa.Array1D.from_fits(
@@ -135,6 +142,12 @@ def test__from_fits__loads_and_stores_header_info():
     assert arr.header.header_sci_obj["BITPIX"] == -64
     assert arr.header.header_hdu_obj["BITPIX"] == -64
 
+    clean_fits(fits_path=fits_path)
+
+
+def test__from_fits__4_element_fits__header_bitpix_is_minus_64():
+    create_fits(fits_path=fits_path)
+
     arr = aa.Array1D.from_fits(
         file_path=path.join(fits_path, "4_ones.fits"), hdu=0, pixel_scales=1.0
     )
@@ -145,7 +158,7 @@ def test__from_fits__loads_and_stores_header_info():
     clean_fits(fits_path=fits_path)
 
 
-def test__output_to_fits():
+def test__output_to_fits__ones_array__fits_file_has_correct_values_and_header():
     arr = aa.Array1D.ones(shape_native=(3,), pixel_scales=1.0)
 
     if path.exists(test_data_path):
@@ -169,12 +182,14 @@ def test__output_to_fits():
     assert header_load["ORIGIN"] == 0.0
 
 
-def test__recursive_shape_storage():
+def test__recursive_shape_storage__no_mask__native_slim_native_roundtrip_correct():
     array_1d = aa.Array1D.no_mask(values=[1.0, 2.0, 3.0, 4.0], pixel_scales=1.0)
 
     assert (array_1d.native.slim.native == np.array([1.0, 2.0, 3.0, 4.0])).all()
     assert (array_1d.slim.native.slim == np.array([1.0, 2.0, 3.0, 4.0])).all()
 
+
+def test__recursive_shape_storage__with_partial_mask__native_slim_native_roundtrip_correct():
     mask = aa.Mask1D(
         mask=[True, False, False, True, False, False],
         pixel_scales=1.0,