MAINT: Bump Python min to 3.10 (#102)

Author: larsoner

.github/workflows/main.yml

@@ -20,6 +20,13 @@ jobs:
       matrix:
         python-version: [ "3.13" ]
         numba: [ "on", "off" ]
+        include:
+          - python-version: "3.12"
+            numba: "on"
+          - python-version: "3.11"
+            numba: "on"
+          - python-version: "3.10"
+            numba: "on"
     defaults:
       run:
         shell: bash -el {0}
@@ -40,7 +47,7 @@ jobs:
       name: Install test utilities
     - run: pip install --no-deps -ve .
     - run: flake8 --count mne_features
-    - run: pytest --cov=mne_features --cov-report=xml --verbose mne_features/tests
+    - run: pytest --cov=mne_features --cov-report=xml --verbose -m "not slow" mne_features/tests
     - run: check-manifest --ignore doc,mne_features/*/tests
     - uses: codecov/codecov-action@v5
       with:

environment.yml

@@ -2,7 +2,7 @@ name: mne-features
 channels:
 - conda-forge
 dependencies:
-- python>=3.8
+- python>=3.10
 - mne
 - pip
 - numpy

mne_features/mock_numba.py

@@ -39,3 +39,6 @@ def identity(ob):
         return identity
 
     nb.jit = jit
+    HAS_NUMBA = False
+else:
+    HAS_NUMBA = True

mne_features/tests/test_feature_extraction.py

@@ -17,7 +17,7 @@
 from mne_features.feature_extraction import (extract_features,
                                              FeatureFunctionTransformer,
                                              FeatureExtractor)
-from mne_features.mock_numba import nb
+from mne_features.mock_numba import nb, HAS_NUMBA
 from mne_features.univariate import compute_svd_fisher_info
 from mne_features.utils import _idxiter
 
@@ -28,6 +28,11 @@
 n_epochs, n_channels = data.shape[:2]
 
 
+SLOW_KWARGS = {}
+if not HAS_NUMBA:
+    SLOW_KWARGS['marks'] = pytest.mark.slow
+
+
 def test_shape_output():
     sel_funcs = ['mean', 'variance', 'kurtosis', 'pow_freq_bands']
     features = extract_features(data, sfreq, sel_funcs, n_jobs=1)
@@ -231,8 +236,11 @@ def test_channel_naming_pow_freq_bands(separator):
     assert df.columns.values.tolist() == expected_col_names
 
 
-@pytest.mark.parametrize('selected_func', ['max_cross_corr', 'phase_lock_val',
-                                           'nonlin_interdep'])
+@pytest.mark.parametrize('selected_func', [
+    pytest.param('max_cross_corr', **SLOW_KWARGS),
+    'phase_lock_val',
+    'nonlin_interdep',
+])
 @pytest.mark.parametrize('include_diag', [True, False])
 @pytest.mark.parametrize('separator', ['_', '__'])
 def test_channel_naming_bivariate(selected_func, include_diag, separator):

setup.cfg

@@ -4,5 +4,7 @@ ignore = E241,E121,E123,E126,E226,E24,E704,W503,W504
 
 [tool:pytest]
 addopts =
-    --showlocals --durations=20 -ra --junit-xml=junit-results.xml
+    --showlocals --durations=20   -rfEXs --junit-xml=junit-results.xml
     --ignore=doc
+markers =
+    slow: marks tests as slow (deselect with '-m "not slow"')

setup.py

@@ -21,6 +21,7 @@
 MAINTAINER_EMAIL = 'jean.baptiste.schiratti@gmail.com'
 LICENSE = 'BSD (3-clause)'
 DOWNLOAD_URL = 'https://github.com/mne-tools/mne-features.git'
+HOMEPAGE_URL = 'https://github.com/mne-tools/mne-features'
 VERSION = version
 
 
@@ -42,6 +43,7 @@ def package_tree(pkgroot):
           license=LICENSE,
           version=VERSION,
           download_url=DOWNLOAD_URL,
+          home_page=HOMEPAGE_URL,
           long_description=open('README.rst').read(),
           long_description_content_type='text/x-rst',
           classifiers=['Intended Audience :: Science/Research',
@@ -57,13 +59,13 @@ def package_tree(pkgroot):
                        'Programming Language :: Python :: 3',
                        ],
           platforms='any',
-          python_requires='>=3.6',
+          python_requires='>=3.10',
           packages=package_tree('mne_features'),
           install_requires=['numpy', 'scipy', 'numba', 'scikit-learn', 'mne',
                             'PyWavelets', 'pandas'],
           project_urls={
               'Documentation': 'https://mne-tools.github.io/mne-features/',
               'Bug Reports': 'https://github.com/mne-tools/mne-features/issues',
               'Source': 'https://github.com/mne-tools/mne-features',
-          },          
+          },
           )