Backport PR #12661 on branch maint/1.7 (Fix EDF/BDF filter warning bug) (#12666)

Co-authored-by: Clemens Brunner <[email protected]>
Co-authored-by: Eric Larson <[email protected]>

Author: 3 people

.github/workflows/release.yml

@@ -5,11 +5,9 @@ on:  # yamllint disable-line rule:truthy
   release:
     types: [published]
   push:
-    branches:
-      - main
+    branches: ["main", "maint/*"]
   pull_request:
-    branches:
-      - main
+    branches: ["main", "maint/*"]
 
 permissions:
   contents: read

CITATION.cff

@@ -1,9 +1,9 @@
 cff-version: 1.2.0
 title: "MNE-Python"
 message: "If you use this software, please cite both the software itself, and the paper listed in the preferred-citation field."
-version: 1.7.0
-date-released: "2024-04-19"
-commit: a3743420a8eef774dafd2908f0de89c4d37fcd01
+version: 1.7.1
+date-released: "2024-06-14"
+commit: 7c00b56d077eaf6a2ca691eadd567d974865a03c
 doi: 10.5281/zenodo.592483
 keywords:
   - MEG

azure-pipelines.yml

@@ -193,7 +193,7 @@ stages:
             displayName: 'PyQt6'
           - bash: |
               set -e
-              python -m pip install "PySide6!=6.7.0"
+              python -m pip install "PySide6!=6.7.0,!=6.7.1"
               mne sys_info -pd
               mne sys_info -pd | grep "qtpy .* (PySide6=.*)$"
               PYTEST_QT_API=PySide6 pytest -m "not slowtest" ${TEST_OPTIONS}

codemeta.json

@@ -5,11 +5,11 @@
     "codeRepository": "git+https://github.com/mne-tools/mne-python.git",
     "dateCreated": "2010-12-26",
     "datePublished": "2014-08-04",
-    "dateModified": "2024-04-19",
-    "downloadUrl": "https://github.com/mne-tools/mne-python/archive/v1.7.0.zip",
+    "dateModified": "2024-06-14",
+    "downloadUrl": "https://github.com/mne-tools/mne-python/archive/v1.7.1.zip",
     "issueTracker": "https://github.com/mne-tools/mne-python/issues",
     "name": "MNE-Python",
-    "version": "1.7.0",
+    "version": "1.7.1",
     "description": "MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data. It provides methods for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, and statistics.",
     "applicationCategory": "Neuroscience",
     "developmentStatus": "active",

doc/changes/devel/12633.bugfix.rst

@@ -1,3 +1,20 @@
+.. _changes_1_7_1:
+
+1.7.1 (2024-06-14)
+==================
+
+Bugfixes
+--------
+
+- Fix bug where :func:`mne.time_frequency.csd_multitaper`, :func:`mne.time_frequency.csd_fourier`, :func:`mne.time_frequency.csd_array_multitaper`, and :func:`mne.time_frequency.csd_array_fourier` would return cross-spectral densities with the ``fmin`` and ``fmax`` frequencies missing, by `Thomas Binns`_ (`#12633 <https://github.com/mne-tools/mne-python/pulls/12633>`__)
+- Fix incorrect RuntimeWarning (different channel filter settings) in EDF/BDF import, by `Clemens Brunner`_. (`#12661 <https://github.com/mne-tools/mne-python/pulls/12661>`__)
+
+Authors
+-------
+
+* Clemens Brunner
+* Thomas Binns
+
 .. _changes_1_7_0:
 
 1.7.0 (2024-04-19)

doc/changes/v1.7.rst

@@ -200,6 +200,8 @@ def pytest_configure(config):
     ignore:np\.find_common_type is deprecated.*:DeprecationWarning
     # pyvista <-> NumPy 2.0
     ignore:__array_wrap__ must accept context and return_scalar arguments.*:DeprecationWarning
+    # sklearn
+    ignore:'multi_class' was deprecated.*:FutureWarning
     """  # noqa: E501
     for warning_line in warning_lines.split("\n"):
         warning_line = warning_line.strip()

mne/conftest.py

@@ -706,7 +706,7 @@ def _get_info(
         info["subject_info"]["weight"] = float(edf_info["subject_info"]["weight"])
 
     # Filter settings
-    if filt_ch_idxs := [x for x in sel if x not in stim_channel_idxs]:
+    if filt_ch_idxs := [x for x in range(len(sel)) if x not in stim_channel_idxs]:
         _set_prefilter(info, edf_info, filt_ch_idxs, "highpass")
         _set_prefilter(info, edf_info, filt_ch_idxs, "lowpass")
 
@@ -951,6 +951,7 @@ def _read_edf_header(
         edf_info["units"] = np.array(edf_info["units"], float)
 
         ch_names = [ch_names[idx] for idx in sel]
+        ch_types = [ch_types[idx] for idx in sel]
         units = [units[idx] for idx in sel]
 
         if not exclude_after_unique:

mne/io/edf/edf.py

@@ -175,26 +175,24 @@ def test_bdf_data():
     # XXX BDF data for these is around 0.01 when it should be in the uV range,
     # probably some bug
     test_scaling = False
-    with pytest.warns(RuntimeWarning, match="Channels contain different"):
-        raw_py = _test_raw_reader(
-            read_raw_bdf,
-            input_fname=bdf_path,
-            eog=eog,
-            misc=misc,
-            exclude=["M2", "IEOG"],
-            test_scaling=test_scaling,
-        )
+    raw_py = _test_raw_reader(
+        read_raw_bdf,
+        input_fname=bdf_path,
+        eog=eog,
+        misc=misc,
+        exclude=["M2", "IEOG"],
+        test_scaling=test_scaling,
+    )
     assert len(raw_py.ch_names) == 71
-    with pytest.warns(RuntimeWarning, match="Channels contain different"):
-        raw_py = _test_raw_reader(
-            read_raw_bdf,
-            input_fname=bdf_path,
-            montage="biosemi64",
-            eog=eog,
-            misc=misc,
-            exclude=["M2", "IEOG"],
-            test_scaling=test_scaling,
-        )
+    raw_py = _test_raw_reader(
+        read_raw_bdf,
+        input_fname=bdf_path,
+        montage="biosemi64",
+        eog=eog,
+        misc=misc,
+        exclude=["M2", "IEOG"],
+        test_scaling=test_scaling,
+    )
     assert len(raw_py.ch_names) == 71
     assert "RawEDF" in repr(raw_py)
     picks = pick_types(raw_py.info, meg=False, eeg=True, exclude="bads")

mne/io/edf/tests/test_edf.py

@@ -60,7 +60,6 @@
 fif_bad_marked_fname = base_dir / "test_withbads_raw.fif"
 bad_file_works = base_dir / "test_bads.txt"
 bad_file_wrong = base_dir / "test_wrong_bads.txt"
-hp_fname = base_dir / "test_chpi_raw_hp.txt"
 hp_fif_fname = base_dir / "test_chpi_raw_sss.fif"
 
 
@@ -695,12 +694,14 @@ def test_bids_split_files(tmp_path):
     with pytest.raises(ValueError, match="Passing a BIDSPath"):
         raw.save(bids_path, **save_kwargs)
     bids_path.split = None
-    want_paths = [Path(bids_path.copy().update(split=ii).fpath) for ii in range(1, 3)]
+    want_paths = [
+        Path(bids_path.copy().update(split=f"{ii:02d}").fpath) for ii in range(1, 3)
+    ]
     for want_path in want_paths:
         assert not want_path.is_file()
     raw.save(bids_path, **save_kwargs)
     for want_path in want_paths:
-        assert want_path.is_file()
+        assert want_path.is_file(), want_path
 
 
 def _err(*args, **kwargs):

mne/io/fiff/tests/test_raw_fiff.py

@@ -5,7 +5,7 @@ build-backend = "hatchling.build"
 [project]
 name = "mne"
 description = "MNE-Python project for MEG and EEG data analysis."
-version = "1.7.0"
+version = "1.7.1"
 authors = [
     { name = "Alexandre Gramfort", email = "[email protected]" },
 ]

pyproject.toml

@@ -98,7 +98,8 @@ def parse_name(name):
 args = ["git", "shortlog", "-nse"]
 result = subprocess.run(args, capture_output=True, text=True)
 lines = result.stdout.strip().split("\n")
-all_names = [parse_name(line) for line in lines if "[bot]" not in line]
+exclude = ["[bot]", "Lumberbot (aka Jack)"]
+all_names = [parse_name(line) for line in lines if not any(x in line for x in exclude)]
 
 
 # CONSTRUCT JSON AUTHORS LIST