Move more metadata and build flags from setup.py to pyproject.toml (mne-tools#12060)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Eric Larson <[email protected]>

Author: 3 people

mne/_ola.py

@@ -281,7 +281,7 @@ def __init__(
         window="hann",
         tol=1e-10,
         *,
-        verbose=None
+        verbose=None,
     ):
         n_samples = _ensure_int(n_samples, "n_samples")
         n_overlap = _ensure_int(n_overlap, "n_overlap")

mne/beamformer/_lcmv.py

@@ -207,7 +207,7 @@ def make_lcmv(
         noise_cov=noise_cov,
         rank=rank,
         pca=False,
-        **depth
+        **depth,
     )
     ch_names = list(info["ch_names"])
 

mne/datasets/brainstorm/bst_auditory.py

@@ -33,7 +33,7 @@ def data_path(
     download=True,
     accept=False,
     *,
-    verbose=None
+    verbose=None,
 ):  # noqa: D103
     return _download_mne_dataset(
         name="bst_auditory",

mne/datasets/brainstorm/bst_phantom_ctf.py

@@ -22,7 +22,7 @@ def data_path(
     download=True,
     accept=False,
     *,
-    verbose=None
+    verbose=None,
 ):  # noqa: D103
     return _download_mne_dataset(
         name="bst_phantom_ctf",

mne/datasets/brainstorm/bst_phantom_elekta.py

@@ -22,7 +22,7 @@ def data_path(
     download=True,
     accept=False,
     *,
-    verbose=None
+    verbose=None,
 ):  # noqa: D103
     return _download_mne_dataset(
         name="bst_phantom_elekta",

mne/datasets/brainstorm/bst_raw.py

@@ -38,7 +38,7 @@ def data_path(
     download=True,
     accept=False,
     *,
-    verbose=None
+    verbose=None,
 ):  # noqa: D103
     return _download_mne_dataset(
         name="bst_raw",

mne/datasets/brainstorm/bst_resting.py

@@ -25,7 +25,7 @@ def data_path(
     download=True,
     accept=False,
     *,
-    verbose=None
+    verbose=None,
 ):  # noqa: D103
     return _download_mne_dataset(
         name="bst_resting",

mne/datasets/sleep_physionet/age.py

@@ -29,7 +29,7 @@ def fetch_data(
     base_url=BASE_URL,
     on_missing="raise",
     *,
-    verbose=None
+    verbose=None,
 ):  # noqa: D301, E501
     """Get paths to local copies of PhysioNet Polysomnography dataset files.
 
@@ -134,12 +134,12 @@ def fetch_data(
                 psg_fname, pdl = _fetch_one(
                     psg_records["fname"][idx].decode(),
                     psg_records["sha"][idx].decode(),
-                    *params
+                    *params,
                 )
                 hyp_fname, hdl = _fetch_one(
                     hyp_records["fname"][idx].decode(),
                     hyp_records["sha"][idx].decode(),
-                    *params
+                    *params,
                 )
                 fnames.append([psg_fname, hyp_fname])
                 if pdl:

mne/datasets/sleep_physionet/temazepam.py

@@ -104,12 +104,12 @@ def fetch_data(
                 psg_fname, pdl = _fetch_one(
                     records["psg fname"][idx].decode(),
                     records["psg sha"][idx].decode(),
-                    *params
+                    *params,
                 )
                 hyp_fname, hdl = _fetch_one(
                     records["hyp fname"][idx].decode(),
                     records["hyp sha"][idx].decode(),
-                    *params
+                    *params,
                 )
                 fnames.append([psg_fname, hyp_fname])
                 if pdl:

mne/datasets/tests/test_datasets.py

@@ -205,7 +205,7 @@ def test_fetch_parcellations(tmp_path):
         labels,
         parc="HCPMMP1_round",
         table_name="./left.fsaverage164.label.gii",
-        **kwargs
+        **kwargs,
     )
     orig = op.join(this_subjects_dir, "fsaverage", "label", "lh.HCPMMP1.annot")
     first = hashfunc(orig)