style: reformat assertion blocks in test files

tests/common/test_property_tests.py

@@ -82,9 +82,9 @@ def _test_positive_values(component, W, component_name="Component"):
         f"W range: [{W_arr.min():.3f}, {W_arr.max():.3f}], "
         f"result range: [{np.nanmin(result):.6f}, {np.nanmax(result):.6f}]"
     )
-    assert not np.any(
+    assert not np.any(np.isinf(result)), (
-        np.isinf(result)
+        f"{component_name}: Inf values found in output."
-    ), f"{component_name}: Inf values found in output."
+    )
     assert np.all(result > 0), (
         f"{component_name}: non-positive values found. "
         f"Min = {np.min(result):.10f} at W = {W_arr[np.argmin(result)][0]:.4f}"
@@ -108,21 +108,20 @@ def _test_non_negative_values(
     W_arr = np.asarray(W, dtype=float)
     result = component(W_arr)
 
-    assert not np.any(
+    assert not np.any(np.isnan(result)), (
-        np.isnan(result)
+        f"{component_name}: NaN values found in output."
-    ), f"{component_name}: NaN values found in output."
+    )
-    assert not np.any(
+    assert not np.any(np.isinf(result)), (
-        np.isinf(result)
+        f"{component_name}: Inf values found in output."
-    ), f"{component_name}: Inf values found in output."
+    )
 
     if allow_zero:
         assert np.all(result >= 0), (
-            f"{component_name}: negative values found. " f"Min = {np.min(result):.10f}"
+            f"{component_name}: negative values found. Min = {np.min(result):.10f}"
         )
     else:
         assert np.all(result > 0), (
-            f"{component_name}: non-positive values found. "
+            f"{component_name}: non-positive values found. Min = {np.min(result):.10f}"
-            f"Min = {np.min(result):.10f}"
         )
 
 
@@ -137,12 +136,11 @@ def _test_output_shape_preserved(component, W, component_name="Component"):
     W_arr = np.asarray(W, dtype=float)
     result = component(W_arr)
 
-    assert isinstance(
+    assert isinstance(result, np.ndarray), (
-        result, np.ndarray
+        f"{component_name}: output is {type(result)}, expected np.ndarray"
-    ), f"{component_name}: output is {type(result)}, expected np.ndarray"
+    )
     assert result.shape == W_arr.shape, (
-        f"{component_name}: shape mismatch. "
+        f"{component_name}: shape mismatch. Input {W_arr.shape} → Output {result.shape}"
-        f"Input {W_arr.shape} → Output {result.shape}"
     )
 
 
@@ -217,8 +215,7 @@ def _test_output_is_ndarray(component, W, component_name="Component"):
     result = component(W_arr)
 
     assert isinstance(result, np.ndarray), (
-        f"{component_name}: output type is {type(result).__name__}, "
+        f"{component_name}: output type is {type(result).__name__}, expected np.ndarray"
-        f"expected np.ndarray"
     )
 
 

tests/integration/test_spectrum_pipeline.py

@@ -179,6 +179,7 @@ class TestDeclarativeDetectorResponse:
         detector = BetaSpectrum.create_detector_from_config(config)
 
         from beta_spectrum.components.detector_response import DetectorResponse
+
         assert isinstance(detector, DetectorResponse)
         assert detector.n_channels == 512
         assert detector._mode == "analytical"
@@ -278,9 +279,9 @@ class TestDeclarativeDetectorResponse:
         assert convolved.shape == (256,)
         # Normalized spectrum should integrate to ~1 over channel energies
         integral = np.trapezoid(convolved, detector.channel_energies)
-        assert np.isclose(
+        assert np.isclose(integral, 1.0, rtol=0.05), (
-            integral, 1.0, rtol=0.05
+            f"Integral should be ~1.0, got {integral}"
-        ), f"Integral should be ~1.0, got {integral}"
+        )
 
     @pytest.mark.skip(reason="DetectorResponse not yet implemented")
     def test_detector_range_extends_to_endpoint(self):