[pre-commit.ci] auto fixes from pre-commit hooks

Author: pre-commit-ci[bot]

tests/test_diffraction_objects.py

@@ -372,83 +372,89 @@ def test_dump(tmp_path, mocker):
     assert actual == expected
 
 
-
-@pytest.mark.parametrize("init_args, expected_do_dict", [
-    (  # instantiate just array attributes
-        {
-            "xarray": np.array([0.0, 90.0, 180.0]),
-            "yarray": np.array([1.0, 2.0, 3.0]),
-            "xtype": "tth",
-            "wavelength": 4.0 * np.pi,
-        },
-        {
-            "_all_arrays": np.array(
-                [
-                    [1.0, 0.0, 0.0, np.float64(np.inf)],
-                    [2.0, 1.0 / np.sqrt(2), 90.0, np.sqrt(2) * 2 * np.pi],
-                    [3.0, 1.0, 180.0, 1.0 * 2 * np.pi],
-                ]
-            ),
-            "metadata": {},
-            "_input_xtype": "tth",
-            "name": "",
-            "scat_quantity": "",
-            "qmin": np.float64(0.0),
-            "qmax": np.float64(1.0),
-            "tthmin": np.float64(0.0),
-            "tthmax": np.float64(180.0),
-            "dmin": np.float64(2 * np.pi),
-            "dmax": np.float64(np.inf),
-            "wavelength": 4.0 * np.pi,
-        },
-    ),
-    (  # instantiate just array attributes
-        {
-            "xarray": np.array([np.inf, 2 * np.sqrt(2) * np.pi, 2 * np.pi]),
-            "yarray": np.array([1.0, 2.0, 3.0]),
-            "xtype": "d",
-            "wavelength": 4.0 * np.pi,
-            "scat_quantity": "x-ray",
-        },
-        {
-            "_all_arrays": np.array(
-                [
-                    [1.0, 0.0, 0.0, np.float64(np.inf)],
-                    [2.0, 1.0 / np.sqrt(2), 90.0, np.sqrt(2) * 2 * np.pi],
-                    [3.0, 1.0, 180.0, 1.0 * 2 * np.pi],
-                ]
-            ),
-            "metadata": {},
-            "_input_xtype": "d",
-            "name": "",
-            "scat_quantity": "x-ray",
-            "qmin": np.float64(0.0),
-            "qmax": np.float64(1.0),
-            "tthmin": np.float64(0.0),
-            "tthmax": np.float64(180.0),
-            "dmin": np.float64(2 * np.pi),
-            "dmax": np.float64(np.inf),
-            "wavelength": 4.0 * np.pi,
-        },
-    ),
-])
+@pytest.mark.parametrize(
+    "init_args, expected_do_dict",
+    [
+        (  # instantiate just array attributes
+            {
+                "xarray": np.array([0.0, 90.0, 180.0]),
+                "yarray": np.array([1.0, 2.0, 3.0]),
+                "xtype": "tth",
+                "wavelength": 4.0 * np.pi,
+            },
+            {
+                "_all_arrays": np.array(
+                    [
+                        [1.0, 0.0, 0.0, np.float64(np.inf)],
+                        [2.0, 1.0 / np.sqrt(2), 90.0, np.sqrt(2) * 2 * np.pi],
+                        [3.0, 1.0, 180.0, 1.0 * 2 * np.pi],
+                    ]
+                ),
+                "metadata": {},
+                "_input_xtype": "tth",
+                "name": "",
+                "scat_quantity": "",
+                "qmin": np.float64(0.0),
+                "qmax": np.float64(1.0),
+                "tthmin": np.float64(0.0),
+                "tthmax": np.float64(180.0),
+                "dmin": np.float64(2 * np.pi),
+                "dmax": np.float64(np.inf),
+                "wavelength": 4.0 * np.pi,
+            },
+        ),
+        (  # instantiate just array attributes
+            {
+                "xarray": np.array([np.inf, 2 * np.sqrt(2) * np.pi, 2 * np.pi]),
+                "yarray": np.array([1.0, 2.0, 3.0]),
+                "xtype": "d",
+                "wavelength": 4.0 * np.pi,
+                "scat_quantity": "x-ray",
+            },
+            {
+                "_all_arrays": np.array(
+                    [
+                        [1.0, 0.0, 0.0, np.float64(np.inf)],
+                        [2.0, 1.0 / np.sqrt(2), 90.0, np.sqrt(2) * 2 * np.pi],
+                        [3.0, 1.0, 180.0, 1.0 * 2 * np.pi],
+                    ]
+                ),
+                "metadata": {},
+                "_input_xtype": "d",
+                "name": "",
+                "scat_quantity": "x-ray",
+                "qmin": np.float64(0.0),
+                "qmax": np.float64(1.0),
+                "tthmin": np.float64(0.0),
+                "tthmax": np.float64(180.0),
+                "dmin": np.float64(2 * np.pi),
+                "dmax": np.float64(np.inf),
+                "wavelength": 4.0 * np.pi,
+            },
+        ),
+    ],
+)
 def test_init_valid(init_args, expected_do_dict):
     actual_do_dict = DiffractionObject(**init_args).__dict__
-    diff = DeepDiff(actual_do_dict, expected_do_dict, ignore_order=True, significant_digits=13, exclude_paths="root['_id']")
+    diff = DeepDiff(
+        actual_do_dict, expected_do_dict, ignore_order=True, significant_digits=13, exclude_paths="root['_id']"
+    )
     assert diff == {}
 
 
-
-@pytest.mark.parametrize("init_args, error_message", [
-    (  # UC1: no arguments provided
-        {},
-        "missing 3 required positional arguments: 'xarray', 'yarray', and 'xtype'",
-    ),
-    (  # UC2: only xarray and yarray provided
-        {"xarray": np.array([0.0, 90.0]), "yarray": np.array([0.0, 90.0])},
-        "missing 1 required positional argument: 'xtype'",
-    ),
-])
+@pytest.mark.parametrize(
+    "init_args, error_message",
+    [
+        (  # UC1: no arguments provided
+            {},
+            "missing 3 required positional arguments: 'xarray', 'yarray', and 'xtype'",
+        ),
+        (  # UC2: only xarray and yarray provided
+            {"xarray": np.array([0.0, 90.0]), "yarray": np.array([0.0, 90.0])},
+            "missing 1 required positional argument: 'xtype'",
+        ),
+    ],
+)
 def test_init_invalid_args(init_args, error_message):
     with pytest.raises(TypeError, match=error_message):
         DiffractionObject(**init_args)