Rename test_time_delays.py tests for clarity

Consistent with test_fluxes.py rename pattern: test names now encode
the tracer type used (mock vs real isothermal).

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

Author: 2 people

test_autolens/point/fit/test_time_delays.py

@@ -1,57 +1,56 @@
-import numpy as np
-import pytest
-
-import autolens as al
-
-
-def test__one_set_of_time_delays__residuals_likelihood_correct():
-    # Mock tracer returns fixed time delays (like magnifications in original)
-    tracer = al.m.MockTracerPoint(
-        profile=al.ps.Point(),
-        time_delays=al.ArrayIrregular([2.0, 2.0]),  # Mock time delays for two positions
-    )
-
-    data = al.ArrayIrregular([1.0, 2.0])  # observed time delays
-    noise_map = al.ArrayIrregular([3.0, 1.0])
-    positions = al.Grid2DIrregular([(0.0, 0.0), (3.0, 4.0)])
-
-    fit = al.FitTimeDelays(
-        name="point_0",
-        data=data,
-        noise_map=noise_map,
-        positions=positions,
-        tracer=tracer,
-    )
-
-    assert fit.data.in_list == [1.0, 2.0]
-    assert fit.noise_map.in_list == [3.0, 1.0]
-    assert fit.model_time_delays.in_list == [2.0, 2.0]
-    assert fit.residual_map.in_list == [0.0, 1.0]
-    assert fit.normalized_residual_map.in_list == [0.0, 1.0]
-    assert fit.chi_squared_map.in_list == [0.0, 1.0]
-    assert fit.chi_squared == pytest.approx(1.0, 1.0e-4)
-    assert fit.noise_normalization == pytest.approx(5.87297, 1.0e-4)
-    assert fit.log_likelihood == pytest.approx(-3.43648935, 1.0e-4)
-
-
-def test__use_real_tracer(gal_x1_mp):
-
-    point_source = al.ps.Point(centre=(0.1, 0.1))
-    galaxy_point_source = al.Galaxy(redshift=1.0, point_0=point_source)
-    tracer = al.Tracer(galaxies=[gal_x1_mp, galaxy_point_source])
-
-    data = al.ArrayIrregular([1.0, 2.0])  # observed time delays
-    noise_map = al.ArrayIrregular([3.0, 1.0])
-    positions = al.Grid2DIrregular([(0.0, 0.0), (3.0, 4.0)])
-
-    fit = al.FitTimeDelays(
-        name="point_0",
-        data=data,
-        noise_map=noise_map,
-        positions=positions,
-        tracer=tracer,
-    )
-
-    # Replace 2.5 with expected model time delay from your tracer
-    assert fit.model_time_delays.in_list[1] == pytest.approx(-573.994580905, 1.0e-4)
-    assert fit.log_likelihood == pytest.approx(-22600.81488747, 1.0e-4)
+import numpy as np
+import pytest
+
+import autolens as al
+
+
+def test__fit_time_delays__all_residual_quantities_computed_correctly_with_mock_tracer():
+    tracer = al.m.MockTracerPoint(
+        profile=al.ps.Point(),
+        time_delays=al.ArrayIrregular([2.0, 2.0]),
+    )
+
+    data = al.ArrayIrregular([1.0, 2.0])
+    noise_map = al.ArrayIrregular([3.0, 1.0])
+    positions = al.Grid2DIrregular([(0.0, 0.0), (3.0, 4.0)])
+
+    fit = al.FitTimeDelays(
+        name="point_0",
+        data=data,
+        noise_map=noise_map,
+        positions=positions,
+        tracer=tracer,
+    )
+
+    assert fit.data.in_list == [1.0, 2.0]
+    assert fit.noise_map.in_list == [3.0, 1.0]
+    assert fit.model_time_delays.in_list == [2.0, 2.0]
+    assert fit.residual_map.in_list == [0.0, 1.0]
+    assert fit.normalized_residual_map.in_list == [0.0, 1.0]
+    assert fit.chi_squared_map.in_list == [0.0, 1.0]
+    assert fit.chi_squared == pytest.approx(1.0, 1.0e-4)
+    assert fit.noise_normalization == pytest.approx(5.87297, 1.0e-4)
+    assert fit.log_likelihood == pytest.approx(-3.43648935, 1.0e-4)
+
+
+def test__fit_time_delays__model_time_delays_correct_with_real_isothermal_tracer(
+    gal_x1_mp,
+):
+    point_source = al.ps.Point(centre=(0.1, 0.1))
+    galaxy_point_source = al.Galaxy(redshift=1.0, point_0=point_source)
+    tracer = al.Tracer(galaxies=[gal_x1_mp, galaxy_point_source])
+
+    data = al.ArrayIrregular([1.0, 2.0])
+    noise_map = al.ArrayIrregular([3.0, 1.0])
+    positions = al.Grid2DIrregular([(0.0, 0.0), (3.0, 4.0)])
+
+    fit = al.FitTimeDelays(
+        name="point_0",
+        data=data,
+        noise_map=noise_map,
+        positions=positions,
+        tracer=tracer,
+    )
+
+    assert fit.model_time_delays.in_list[1] == pytest.approx(-573.994580905, 1.0e-4)
+    assert fit.log_likelihood == pytest.approx(-22600.81488747, 1.0e-4)