MRG: Use ruff-format instead of Black

.github/workflows/tests.yml

@@ -23,7 +23,6 @@ jobs:
       - uses: actions/setup-python@v4
         with:
           python-version: '3.11'
-      - uses: psf/black@stable
       - uses: pre-commit/[email protected]
 
   bandit:

.pre-commit-config.yaml

@@ -1,29 +1,33 @@
 repos:
-  - repo: https://github.com/psf/black
-    rev: 23.11.0
-    hooks:
-      - id: black
-        args: [--quiet]
-
   # Ruff mne
   - repo: https://github.com/astral-sh/ruff-pre-commit
     rev: v0.1.6
     hooks:
+      # lint
       - id: ruff
-        name: ruff mne
+        name: lint mne
         args: ["--fix"]
         files: ^mne/
+      # format
+      - id: ruff-format
+        name: format mne
+        files: ^mne/
 
   # Ruff tutorials and examples
   - repo: https://github.com/astral-sh/ruff-pre-commit
     rev: v0.1.6
     hooks:
+      # Lint
       - id: ruff
-        name: ruff tutorials and examples
+        name: lint tutorials and examples
         # D103: missing docstring in public function
         # D400: docstring first line must end with period
         args: ["--ignore=D103,D400", "--fix"]
         files: ^tutorials/|^examples/
+      # Format
+      - id: ruff-format
+        name: format tutorials and examples
+        files: ^tutorials/|^examples/
 
   # Codespell
   - repo: https://github.com/codespell-project/codespell

mne/_fiff/tag.py

@@ -45,7 +45,7 @@ class Tag:
         Position of Tag is the original file.
     """
 
-    def __init__(self, kind, type_, size, next, pos=None):  # noqa: D102
+    def __init__(self, kind, type_, size, next, pos=None):
         self.kind = int(kind)
         self.type = int(type_)
         self.size = int(size)

mne/_fiff/tests/test_constants.py

@@ -385,16 +385,16 @@ def test_constants(tmp_path):
     for key in fif["coil"]:
         if key not in _missing_coil_def and key not in coil_def:
             bad_list.append(("    %s," % key).ljust(10) + "  # " + fif["coil"][key][1])
-    assert (
-        len(bad_list) == 0
-    ), "\nIn fiff-constants, missing from coil_def:\n" + "\n".join(bad_list)
+    assert len(bad_list) == 0, (
+        "\nIn fiff-constants, missing from coil_def:\n" + "\n".join(bad_list)
+    )
     # Assert that enum(coil) has all `coil_def.dat` entries
     for key, desc in zip(coil_def, coil_desc):
         if key not in fif["coil"]:
             bad_list.append(("    %s," % key).ljust(10) + "  # " + desc)
-    assert (
-        len(bad_list) == 0
-    ), "In coil_def, missing  from fiff-constants:\n" + "\n".join(bad_list)
+    assert len(bad_list) == 0, (
+        "In coil_def, missing  from fiff-constants:\n" + "\n".join(bad_list)
+    )
 
 
 @pytest.mark.parametrize(

mne/annotations.py

@@ -276,9 +276,7 @@ class Annotations:
     :meth:`Raw.save() <mne.io.Raw.save>` notes for details.
     """  # noqa: E501
 
-    def __init__(
-        self, onset, duration, description, orig_time=None, ch_names=None
-    ):  # noqa: D102
+    def __init__(self, onset, duration, description, orig_time=None, ch_names=None):
         self._orig_time = _handle_meas_date(orig_time)
         self.onset, self.duration, self.description, self.ch_names = _check_o_d_s_c(
             onset, duration, description, ch_names

mne/beamformer/tests/test_rap_music.py

@@ -50,9 +50,7 @@ def simu_data(evoked, forward, noise_cov, n_dipoles, times, nave=1):
     # Generate the two dipoles data
     mu, sigma = 0.1, 0.005
     s1 = (
-        1
-        / (sigma * np.sqrt(2 * np.pi))
-        * np.exp(-((times - mu) ** 2) / (2 * sigma**2))
+        1 / (sigma * np.sqrt(2 * np.pi)) * np.exp(-((times - mu) ** 2) / (2 * sigma**2))
     )
 
     mu, sigma = 0.075, 0.008

mne/channels/channels.py

@@ -585,14 +585,16 @@ def drop_channels(self, ch_names, on_missing="raise"):
             all_str = all([isinstance(ch, str) for ch in ch_names])
         except TypeError:
             raise ValueError(
-                "'ch_names' must be iterable, got "
-                "type {} ({}).".format(type(ch_names), ch_names)
+                "'ch_names' must be iterable, got " "type {} ({}).".format(
+                    type(ch_names), ch_names
+                )
             )
 
         if not all_str:
             raise ValueError(
-                "Each element in 'ch_names' must be str, got "
-                "{}.".format([type(ch) for ch in ch_names])
+                "Each element in 'ch_names' must be str, got " "{}.".format(
+                    [type(ch) for ch in ch_names]
+                )
             )
 
         missing = [ch for ch in ch_names if ch not in self.ch_names]
@@ -1057,9 +1059,7 @@ class _BuiltinChannelAdjacency:
         name="bti248grad",
         description="BTI 248 gradiometer system",
         fname="bti248grad_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="bti248grad_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="bti248grad_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="ctf64",
@@ -1083,25 +1083,19 @@ class _BuiltinChannelAdjacency:
         name="easycap32ch-avg",
         description="",
         fname="easycap32ch-avg_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="easycap32ch-avg_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="easycap32ch-avg_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="easycap64ch-avg",
         description="",
         fname="easycap64ch-avg_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="easycap64ch-avg_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="easycap64ch-avg_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="easycap128ch-avg",
         description="",
         fname="easycap128ch-avg_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="easycap128ch-avg_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="easycap128ch-avg_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="easycapM1",
@@ -1113,25 +1107,19 @@ class _BuiltinChannelAdjacency:
         name="easycapM11",
         description="Easycap M11",
         fname="easycapM11_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="easycapM11_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="easycapM11_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="easycapM14",
         description="Easycap M14",
         fname="easycapM14_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="easycapM14_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="easycapM14_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="easycapM15",
         description="Easycap M15",
         fname="easycapM15_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="easycapM15_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="easycapM15_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="KIT-157",
@@ -1179,49 +1167,37 @@ class _BuiltinChannelAdjacency:
         name="neuromag306mag",
         description="Neuromag306, only magnetometers",
         fname="neuromag306mag_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="neuromag306mag_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="neuromag306mag_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="neuromag306planar",
         description="Neuromag306, only planar gradiometers",
         fname="neuromag306planar_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="neuromag306planar_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="neuromag306planar_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="neuromag122cmb",
         description="Neuromag122, only combined planar gradiometers",
         fname="neuromag122cmb_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="neuromag122cmb_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="neuromag122cmb_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="neuromag306cmb",
         description="Neuromag306, only combined planar gradiometers",
         fname="neuromag306cmb_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="neuromag306cmb_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="neuromag306cmb_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="ecog256",
         description="ECOG 256channels, average referenced",
         fname="ecog256_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="ecog256_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="ecog256_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="ecog256bipolar",
         description="ECOG 256channels, bipolar referenced",
         fname="ecog256bipolar_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="ecog256bipolar_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="ecog256bipolar_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="eeg1010_neighb",
@@ -1263,33 +1239,25 @@ class _BuiltinChannelAdjacency:
         name="language29ch-avg",
         description="MPI for Psycholinguistic: Averaged 29-channel cap",
         fname="language29ch-avg_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="language29ch-avg_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="language29ch-avg_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="mpi_59_channels",
         description="MPI for Psycholinguistic: 59-channel cap",
         fname="mpi_59_channels_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="mpi_59_channels_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="mpi_59_channels_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="yokogawa160",
         description="",
         fname="yokogawa160_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="yokogawa160_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="yokogawa160_neighb.mat"),  # noqa: E501
     ),
     _BuiltinChannelAdjacency(
         name="yokogawa440",
         description="",
         fname="yokogawa440_neighb.mat",
-        source_url=_ft_neighbor_url_t.substitute(
-            fname="yokogawa440_neighb.mat"
-        ),  # noqa: E501
+        source_url=_ft_neighbor_url_t.substitute(fname="yokogawa440_neighb.mat"),  # noqa: E501
     ),
 ]
 

mne/channels/interpolation.py

@@ -166,8 +166,9 @@ def _interpolate_bads_eeg(inst, origin, exclude=None, verbose=None):
     pos_good = pos[goods_idx_pos] - origin
     pos_bad = pos[bads_idx_pos] - origin
     logger.info(
-        "Computing interpolation matrix from {} sensor "
-        "positions".format(len(pos_good))
+        "Computing interpolation matrix from {} sensor " "positions".format(
+            len(pos_good)
+        )
     )
     interpolation = _make_interpolation_matrix(pos_good, pos_bad)
 

mne/channels/layout.py

@@ -58,7 +58,7 @@ class Layout:
         The type of Layout (e.g. 'Vectorview-all').
     """
 
-    def __init__(self, box, pos, names, ids, kind):  # noqa: D102
+    def __init__(self, box, pos, names, ids, kind):
         self.box = box
         self.pos = pos
         self.names = names

mne/commands/mne_freeview_bem_surfaces.py

@@ -41,8 +41,9 @@ def freeview_bem_surfaces(subject, subjects_dir, method):
 
     if not op.isdir(subject_dir):
         raise ValueError(
-            "Wrong path: '{}'. Check subjects-dir or"
-            "subject argument.".format(subject_dir)
+            "Wrong path: '{}'. Check subjects-dir or" "subject argument.".format(
+                subject_dir
+            )
         )
 
     env = os.environ.copy()

mne/coreg.py

@@ -422,8 +422,9 @@ def fit_matched_points(
     tgt_pts = np.atleast_2d(tgt_pts)
     if src_pts.shape != tgt_pts.shape:
         raise ValueError(
-            "src_pts and tgt_pts must have same shape (got "
-            "{}, {})".format(src_pts.shape, tgt_pts.shape)
+            "src_pts and tgt_pts must have same shape (got " "{}, {})".format(
+                src_pts.shape, tgt_pts.shape
+            )
         )
     if weights is not None:
         weights = np.asarray(weights, src_pts.dtype)

mne/datasets/sleep_physionet/_utils.py

@@ -20,9 +20,7 @@
 )
 TEMAZEPAM_RECORDS_URL_SHA1 = "f52fffe5c18826a2bd4c5d5cb375bb4a9008c885"
 
-AGE_RECORDS_URL = (
-    "https://physionet.org/physiobank/database/sleep-edfx/SC-subjects.xls"  # noqa: E501
-)
+AGE_RECORDS_URL = "https://physionet.org/physiobank/database/sleep-edfx/SC-subjects.xls"  # noqa: E501
 AGE_RECORDS_URL_SHA1 = "0ba6650892c5d33a8e2b3f62ce1cc9f30438c54f"
 
 sha1sums_fname = op.join(op.dirname(__file__), "SHA1SUMS")

mne/datasets/sleep_physionet/age.py

@@ -21,9 +21,7 @@
 
 data_path = _data_path  # expose _data_path(..) as data_path(..)
 
-BASE_URL = (
-    "https://physionet.org/physiobank/database/sleep-edfx/sleep-cassette/"  # noqa: E501
-)
+BASE_URL = "https://physionet.org/physiobank/database/sleep-edfx/sleep-cassette/"  # noqa: E501
 
 
 @verbose

mne/decoding/base.py

@@ -64,7 +64,7 @@ class LinearModel(BaseEstimator):
         "classes_",
     )
 
-    def __init__(self, model=None):  # noqa: D102
+    def __init__(self, model=None):
         if model is None:
             from sklearn.linear_model import LogisticRegression
 

mne/decoding/search_light.py

@@ -46,7 +46,7 @@ def __init__(
         position=0,
         allow_2d=False,
         verbose=None,
-    ):  # noqa: D102
+    ):
         _check_estimator(base_estimator)
         self.base_estimator = base_estimator
         self.n_jobs = n_jobs

mne/decoding/time_frequency.py

@@ -74,7 +74,7 @@ def __init__(
         output="complex",
         n_jobs=1,
         verbose=None,
-    ):  # noqa: D102
+    ):
         """Init TimeFrequency transformer."""
         # Check non-average output
         output = _check_option("output", output, ["complex", "power", "phase"])