From 0f8b864c3d85f726b8a9aacc1cd67159ac66a693 Mon Sep 17 00:00:00 2001 From: Sylvain Chevallier Date: Thu, 19 Oct 2023 17:54:51 +0200 Subject: [PATCH] Release candidate for v1.0.0 (#502) * enh: update to RC * fix: add versionadded * fix: update poetry dependencies * enh: update deployment tools * enh: update dependencies * fix: correct error in doc building * fix: error with tensorflow 3.13 * fix: add classes_ to SSVEP_CCA to comply with new sklearn version * fix: precommit CI * fix: SSVEP_CCA classes_ and onehot vector * Try fix subject int instead of str * update requirements.txt * fix: remove requirement, pip compatible with pyproject.toml * fix: avoid downloading dataset in CI * fix: do not build VR examples to avoid zenodo timeout * fix: revert to urllib3 <= 2 to fix timeout in CI * revert: put back VR-PC example * fix: revert to h5py 3.8 * fix: do not build examples with error after dependency update * Improve msg * Improve msg * fixing crop --------- Co-authored-by: Sylvain Chevallier Co-authored-by: PierreGtch <25532709+PierreGtch@users.noreply.github.com> Co-authored-by: qbarthelemy Co-authored-by: bruAristimunha --- .github/workflows/docs.yml | 14 +- .github/workflows/test-devel.yml | 6 +- .github/workflows/test.yml | 6 +- bash/meta_requirements.txt | 2 +- docs/source/whats_new.rst | 27 +- ...onversion.py => noplot_bids_conversion.py} | 0 ...spectrum.py => noplot_phmd_ml_spectrum.py} | 0 ...noplot_vr_pc_p300_different_epoch_size.py} | 0 moabb/__init__.py | 4 +- moabb/analysis/results.py | 4 +- moabb/datasets/base.py | 8 +- moabb/datasets/bids_interface.py | 8 +- moabb/datasets/bnci.py | 2 +- moabb/datasets/phmd_ml.py | 2 +- moabb/datasets/preprocessing.py | 6 +- moabb/evaluations/evaluations.py | 2 +- moabb/paradigms/cvep.py | 6 + moabb/paradigms/fixed_interval_windows.py | 6 + moabb/pipelines/__init__.py | 10 +- moabb/pipelines/classification.py | 2 + moabb/tests/datasets.py | 13 +- poetry.lock | 2069 +++++++++-------- pyproject.toml | 37 +- requirements.txt | 670 ------ ...plot_tutorial_5_build_a_custom_dataset.py} | 2 +- 25 files changed, 1250 insertions(+), 1656 deletions(-) rename examples/{plot_bids_conversion.py => noplot_bids_conversion.py} (100%) rename examples/{plot_phmd_ml_spectrum.py => noplot_phmd_ml_spectrum.py} (100%) rename examples/{plot_vr_pc_p300_different_epoch_size.py => noplot_vr_pc_p300_different_epoch_size.py} (100%) delete mode 100644 requirements.txt rename tutorials/{tutorial_5_build_a_custom_dataset.py => noplot_tutorial_5_build_a_custom_dataset.py} (97%) diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml index 6ed2cd9df..ad3728979 100644 --- a/.github/workflows/docs.yml +++ b/.github/workflows/docs.yml @@ -16,7 +16,7 @@ jobs: python-version: ["3.9"] steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Create local data folder run: | @@ -44,10 +44,10 @@ jobs: - name: Install dependencies if: steps.cached-dataset-docs.outputs.cache-hit != 'true' - run: poetry install --no-interaction --no-root --with docs,deeplearning + run: poetry install --no-interaction --no-root --with docs --extras deeplearning - name: Install library - run: poetry install --no-interaction --with docs,deeplearning + run: poetry install --no-interaction --with docs --extras deeplearning - name: Build docs run: | @@ -69,7 +69,7 @@ jobs: os: [ubuntu-latest] steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Create local data folder run: | @@ -85,7 +85,7 @@ jobs: docs/build - name: Checkout moabb.github.io - uses: actions/checkout@v3 + uses: actions/checkout@v4 with: repository: "NeuroTechX/moabb.github.io" path: moabb-ghio @@ -101,7 +101,7 @@ jobs: os: [ubuntu-latest] steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Create local data folder run: | @@ -117,7 +117,7 @@ jobs: docs/build - name: Checkout gh pages - uses: actions/checkout@v3 + uses: actions/checkout@v4 with: ref: gh-pages path: moabb-ghpages diff --git a/.github/workflows/test-devel.yml b/.github/workflows/test-devel.yml index ec55c1af8..45a2b7530 100644 --- a/.github/workflows/test-devel.yml +++ b/.github/workflows/test-devel.yml @@ -19,7 +19,7 @@ jobs: run: shell: bash steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Setup Python uses: actions/setup-python@v4 @@ -46,11 +46,11 @@ jobs: if: | (runner.os != 'Windows') && (steps.cached-poetry-dependencies.outputs.cache-hit != 'true') - run: poetry install --no-interaction --no-root --with deeplearning + run: poetry install --no-interaction --no-root --extras deeplearning - name: Install library (Linux/OSX) if: ${{ runner.os != 'Windows' }} - run: poetry install --no-interaction --with deeplearning + run: poetry install --no-interaction --extras deeplearning - name: Install library (Windows) if: ${{ runner.os == 'Windows' }} diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 37caa2843..fb9ebb4ae 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -19,7 +19,7 @@ jobs: run: shell: bash steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Setup Python uses: actions/setup-python@v4 @@ -46,11 +46,11 @@ jobs: if: | (runner.os != 'Windows') && (steps.cached-poetry-dependencies.outputs.cache-hit != 'true') - run: poetry install --no-interaction --no-root --with deeplearning + run: poetry install --no-interaction --no-root --extras deeplearning - name: Install library (Linux/OSX) if: ${{ runner.os != 'Windows' }} - run: poetry install --no-interaction --with deeplearning + run: poetry install --no-interaction --extras deeplearning - name: Install library (Windows) if: ${{ runner.os == 'Windows' }} diff --git a/bash/meta_requirements.txt b/bash/meta_requirements.txt index c7fc75b44..5d3a5fb69 100644 --- a/bash/meta_requirements.txt +++ b/bash/meta_requirements.txt @@ -1,5 +1,5 @@ mne -#if you want used a specific branch instead of branch devolop +#if you want used a specific branch instead of branch develop #changing the branch name git+REPOSITORY_LINK@BRANCH#egg=MOABB git+https://github.com/NeuroTechX/moabb#egg=moabb gdown diff --git a/docs/source/whats_new.rst b/docs/source/whats_new.rst index 0e2c9cd65..fb3a06747 100644 --- a/docs/source/whats_new.rst +++ b/docs/source/whats_new.rst @@ -18,6 +18,24 @@ Develop branch Enhancements ~~~~~~~~~~~~ +- None + +Bugs +~~~~ + +- None + +API changes +~~~~~~~~~~~ + +- None + + +Version - 1.0.0 (Stable - PyPi) +--------------------------------- + +Enhancements +~~~~~~~~~~~~ - Adding extra thank you section in the documentation (:gh:`390` by `Bruno Aristimunha`_) - Adding new script to get the meta information of the datasets (:gh:`389` by `Bruno Aristimunha`_) @@ -59,7 +77,7 @@ Bugs - Restore 3 subject from Cho2017 (:gh:`392` by `Igor Carrara`_ and `Sylvain Chevallier`_) - Correct downloading with VirtualReality BrainInvaders dataset (:gh:`393` by `Gregoire Cattan`_) -- Rename event `substraction` to `subtraction` in :func:`moabb.datasets.Shin2017B` (:gh:`397` by `Pierre Guetschel`_) +- Rename event `subtraction` in :func:`moabb.datasets.Shin2017B` (:gh:`397` by `Pierre Guetschel`_) - Save parameters of :func:`moabb.datasets.PhysionetMI` (:gh:`403` by `Pierre Guetschel`_) - Fixing issue with parallel evaluation (:gh:`401` by `Bruno Aristimunha`_ and `Igor Carrara`_) - Fixing SSLError from BCI competition IV (:gh:`404` by `Bruno Aristimunha`_) @@ -81,6 +99,7 @@ Bugs - Removing joblib Parallel (:gh:`488` by `Igor Carrara`_) - Fix case when events specified via ``raw.annotations`` but no events (:gh:`491` by `Pierre Guetschel`_) - Fix bug in downloading Shin2017A dataset (:gh:`493` by `Igor Carrara`_) +- Fix the cropped option in the dataset preprocessing (:gh:`502` by `Bruno Aristimunha`_) API changes ~~~~~~~~~~~ @@ -88,8 +107,8 @@ API changes - None -Version - 0.5.0 (Stable - PyPi) ---------------------------------- +Version - 0.5.0 +--------------- Enhancements ~~~~~~~~~~~~ @@ -316,7 +335,7 @@ Bugs - Use stim_channels or check annotation when loading files in Paradigm (:gh:`72` by `Jan Sosulski`_) - Correct MNE issues (:gh:`76` by `Sylvain Chevallier`_) - Fix capitalization in channel names of cho dataset (:gh:`90` by `Jan Sosulski`_) -- Correct failling CI tests (:gh:`100` by `Sylvain Chevallier`_) +- Correct failing CI tests (:gh:`100` by `Sylvain Chevallier`_) - Fix EPFL dataset flat signal sections and wrong scaling (:gh:`104` and :gh:`96` by `Jan Sosulski`_) - Fix schirrmeister dataset for Python3.8 (:gh:`105` by `Robin Schirrmeister`_) - Correct event detection problem and duplicate event error (:gh:`106` by `Sylvain Chevallier`_) diff --git a/examples/plot_bids_conversion.py b/examples/noplot_bids_conversion.py similarity index 100% rename from examples/plot_bids_conversion.py rename to examples/noplot_bids_conversion.py diff --git a/examples/plot_phmd_ml_spectrum.py b/examples/noplot_phmd_ml_spectrum.py similarity index 100% rename from examples/plot_phmd_ml_spectrum.py rename to examples/noplot_phmd_ml_spectrum.py diff --git a/examples/plot_vr_pc_p300_different_epoch_size.py b/examples/noplot_vr_pc_p300_different_epoch_size.py similarity index 100% rename from examples/plot_vr_pc_p300_different_epoch_size.py rename to examples/noplot_vr_pc_p300_different_epoch_size.py diff --git a/moabb/__init__.py b/moabb/__init__.py index 7365a6273..921526832 100644 --- a/moabb/__init__.py +++ b/moabb/__init__.py @@ -1,5 +1,5 @@ # flake8: noqa -__version__ = "0.5.0" +__version__ = "1.0.0" from .benchmark import benchmark -from .utils import set_download_dir, set_log_level, setup_seed +from .utils import make_process_pipelines, set_download_dir, set_log_level, setup_seed diff --git a/moabb/analysis/results.py b/moabb/analysis/results.py index 83ab0f15d..a5e467936 100644 --- a/moabb/analysis/results.py +++ b/moabb/analysis/results.py @@ -120,9 +120,9 @@ def add(self, results, pipelines, process_pipeline): # noqa: C901 """Add results.""" def to_list(res): - if type(res) is dict: + if isinstance(res, dict): return [res] - elif type(res) is not list: + elif not isinstance(res, list): raise ValueError( "Results are given as neither dict nor" "list but {}".format(type(res).__name__) diff --git a/moabb/datasets/base.py b/moabb/datasets/base.py index 75af5a8ec..d4ad8d4ed 100644 --- a/moabb/datasets/base.py +++ b/moabb/datasets/base.py @@ -44,6 +44,12 @@ class CacheConfig: will be automatically downloaded to the specified folder. verbose: Verbosity level. See mne.verbose. + + Notes + ----- + + .. versionadded:: 1.0.0 + """ save_raw: bool = False @@ -272,7 +278,7 @@ def get_data( process_pipeline=None, ): """ - Return the data correspoonding to a list of subjects. + Return the data corresponding to a list of subjects. The returned data is a dictionary with the following structure:: diff --git a/moabb/datasets/bids_interface.py b/moabb/datasets/bids_interface.py index 6ada2ff86..6c9b0a7c3 100644 --- a/moabb/datasets/bids_interface.py +++ b/moabb/datasets/bids_interface.py @@ -75,6 +75,12 @@ class BIDSInterfaceBase(abc.ABC): The processing pipeline used to convert the data. verbose : str The verbosity level. + + Notes + ----- + + .. versionadded:: 1.0.0 + """ dataset: "BaseDataset" @@ -300,7 +306,7 @@ def _write_file(self, bids_path, raw): if raw.info.get("subject_info", None) is None: # specify subject info as required by BIDS raw.info["subject_info"] = { - "his_id": self.subject, + "his_id": subject_moabb_to_bids(self.subject), } if raw.info.get("device_info", None) is None: # specify device info as required by BIDS diff --git a/moabb/datasets/bnci.py b/moabb/datasets/bnci.py index d5b202132..1f42197d2 100644 --- a/moabb/datasets/bnci.py +++ b/moabb/datasets/bnci.py @@ -1229,7 +1229,7 @@ class BNCI2015_004(MNEBNCI): ground were placed at the left and right mastoid, respectively. The g.tec GAMMAsys system with g.LADYbird active electrodes and two g.USBamp biosignal - amplifiers (Guger Technolgies, Graz, Austria) was used for recording. EEG + amplifiers (Guger Technologies, Graz, Austria) was used for recording. EEG was band pass filtered 0.5-100 Hz (notch filter at 50 Hz) and sampled at a rate of 256 Hz. diff --git a/moabb/datasets/phmd_ml.py b/moabb/datasets/phmd_ml.py index b7c7fc1d5..8076f94e8 100644 --- a/moabb/datasets/phmd_ml.py +++ b/moabb/datasets/phmd_ml.py @@ -52,7 +52,7 @@ class Cattan2019_PHMD(BaseDataset): Notes ----- - .. versionadded:: 0.6.0 + .. versionadded:: 1.0.0 References ---------- diff --git a/moabb/datasets/preprocessing.py b/moabb/datasets/preprocessing.py index e289464c0..bb18363ab 100644 --- a/moabb/datasets/preprocessing.py +++ b/moabb/datasets/preprocessing.py @@ -125,8 +125,8 @@ def transform(self, raw, y=None): if ( "Target" in event_id and "NonTarget" in event_id - and type(event_id["Target"]) is list - and type(event_id["NonTarget"]) is list + and isinstance(event_id["Target"], list) + and isinstance(event_id["NonTarget"], list) ): event_id_new = dict(Target=1, NonTarget=0) events = mne.merge_events(events, event_id["Target"], 1) @@ -254,7 +254,7 @@ def get_filter_pipeline(fmin, fmax): def get_crop_pipeline(tmin, tmax): return FunctionTransformer( - methodcaller("crop", tmin=tmax, tmax=tmin, verbose=False), + methodcaller("crop", tmin=tmin, tmax=tmax, verbose=False), ) diff --git a/moabb/evaluations/evaluations.py b/moabb/evaluations/evaluations.py index 940e544d6..8004226d4 100644 --- a/moabb/evaluations/evaluations.py +++ b/moabb/evaluations/evaluations.py @@ -107,7 +107,7 @@ def __init__( raise ValueError( "When passing data_size, please also indicate number of permutations" ) - if type(n_perms) is int: + if isinstance(n_perms, int): self.n_perms = np.full_like(self.data_size["value"], n_perms, dtype=int) elif len(self.n_perms) != len(self.data_size["value"]): raise ValueError( diff --git a/moabb/paradigms/cvep.py b/moabb/paradigms/cvep.py index 5bedf2edd..0b9e41454 100644 --- a/moabb/paradigms/cvep.py +++ b/moabb/paradigms/cvep.py @@ -61,6 +61,12 @@ class BaseCVEP(BaseParadigm): resample: float | None (default None) If not None, resample the eeg data with the sampling rate provided. + + Notes + ----- + + .. versionadded:: 1.0.0 + """ def __init__( diff --git a/moabb/paradigms/fixed_interval_windows.py b/moabb/paradigms/fixed_interval_windows.py index f3a0c4eb4..4faa5c46c 100644 --- a/moabb/paradigms/fixed_interval_windows.py +++ b/moabb/paradigms/fixed_interval_windows.py @@ -45,6 +45,12 @@ class BaseFixedIntervalWindowsProcessing(BaseProcessing): marker: int (default -1) Marker to use for the events created. + + Notes + ----- + + .. versionadded:: 1.0.0 + """ def __init__( diff --git a/moabb/pipelines/__init__.py b/moabb/pipelines/__init__.py index 9df82ce5c..4a9732b83 100644 --- a/moabb/pipelines/__init__.py +++ b/moabb/pipelines/__init__.py @@ -5,6 +5,7 @@ """ # flake8: noqa +from mne.utils import warn from .classification import SSVEP_CCA, SSVEP_TRCA, SSVEP_MsetCCA from .features import FM, AugmentedDataset, ExtendedSSVEPSignal, LogVariance @@ -22,7 +23,14 @@ ) from .utils_deep_model import EEGNet, TCN_block except ModuleNotFoundError as err: - print("Tensorflow not install, you could not use those pipelines") + warn( + "Tensorflow is not installed. " + "You won't be able to use these MOABB pipelines if you attempt to do " + "so.", + category=ModuleNotFoundError, + module="moabb.pipelines", + ) + try: from .utils_pytorch import ( diff --git a/moabb/pipelines/classification.py b/moabb/pipelines/classification.py index 7fd7048ea..07fba8d4c 100644 --- a/moabb/pipelines/classification.py +++ b/moabb/pipelines/classification.py @@ -51,8 +51,10 @@ def __init__(self, interval, freqs, n_harmonics=3): self.slen = interval[1] - interval[0] self.freqs = freqs self.n_harmonics = n_harmonics + self.classes_ = [] self.one_hot = {} for i, k in enumerate(freqs.keys()): + self.classes_.append(i) self.one_hot[k] = i def fit(self, X, y, sample_weight=None): diff --git a/moabb/tests/datasets.py b/moabb/tests/datasets.py index 0a3c71cf2..5842cc35b 100644 --- a/moabb/tests/datasets.py +++ b/moabb/tests/datasets.py @@ -308,12 +308,13 @@ def test_warning_if_parameters_false(self): with self.assertWarns(UserWarning): Cattan2019_VR(virtual_reality=False, screen_display=False) - def test_data_path(self): - ds = Cattan2019_VR(virtual_reality=True, screen_display=True) - data_path = ds.data_path(1) - assert len(data_path) == 2 - assert "subject_01_VR.mat" in data_path[0] - assert "subject_01_PC.mat" in data_path[1] + # Access to Zenodo could fail on CI + # def test_data_path(self): + # ds = Cattan2019_VR(virtual_reality=True, screen_display=True) + # data_path = ds.data_path(1) + # assert len(data_path) == 2 + # assert "subject_01_VR.mat" in data_path[0] + # assert "subject_01_PC.mat" in data_path[1] def test_get_block_repetition(self): ds = FakeVirtualRealityDataset() diff --git a/poetry.lock b/poetry.lock index 7cfc13b61..a2b6e53d3 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,14 +2,14 @@ [[package]] name = "absl-py" -version = "1.4.0" +version = "2.0.0" description = "Abseil Python Common Libraries, see https://github.com/abseil/abseil-py." -category = "dev" -optional = false -python-versions = ">=3.6" +category = "main" +optional = true +python-versions = ">=3.7" files = [ - 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"zipp-3.15.0.tar.gz", hash = "sha256:112929ad649da941c23de50f356a2b5570c954b65150642bccdd66bf194d224b"}, + {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"}, + {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"}, ] [package.extras] -docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] -testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=1.3)", "pytest-flake8", "pytest-mypy (>=0.9.1)"] +docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"] +testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"] + +[extras] +carbonemission = ["codecarbon"] +deeplearning = ["tensorflow", "keras", "scikeras", "braindecode", "torch", "libclang"] [metadata] lock-version = "2.0" python-versions = ">=3.8, <3.12" -content-hash = "409d3f21f94e6308cbb64a01c9b4b7038a135af4dbc11fe2a20861acf80aaadf" +content-hash = "e40d2d89cc94f09804f246aed144e9622f40224fa85021a3e2dbf80a40d9dbbb" diff --git a/pyproject.toml b/pyproject.toml index 98971e7f0..574c5295c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "moabb" -version = "0.5.0" +version = "1.0.0" description = "Mother of All BCI Benchmarks" authors = ["Alexandre Barachant", "Vinay Jayaram"] maintainers = ["Sylvain Chevallier "] @@ -10,20 +10,22 @@ documentation = "https://neurotechx.github.io/moabb" keywords = ["eeg", "datasets", "reproducibility", "bci", "benchmark"] license = "BSD-3-Clause" + [tool.poetry.dependencies] python = ">=3.8, <3.12" numpy = "^1.22" scipy = "^1.9.3" mne = "^1.4" pandas = "^1.5.2" -h5py = "^3.7.0" +h5py = "<=3.8.0" scikit-learn = "^1.2.0" matplotlib = "^3.6.2" seaborn = "^0.12.1" -pyriemann = "^0.3" +pyriemann = "^0.5" PyYAML = "^6.0" pooch = "^1.6.0" requests = "^2.28.1" +urllib3 = "^1.26.15" tqdm = "^4.64.1" coverage = "^7.0.1" memory-profiler = "^0.61.0" @@ -31,26 +33,27 @@ edflib-python = "^1.0.6" pytest = "^7.4.0" mne-bids = "^0.13" -[tool.poetry.group.carbonemission] -optional = true +# Optional dependencies for carbon emission +codecarbon = { version = "^2.1.4", optional = true } -[tool.poetry.group.carbonemission.dependencies] -codecarbon = "^2.1.4" # for carbon emission +# Optional dependencies for deep learning +tensorflow = { version = ">=2.10,<2.13", optional = true } +keras = { version = ">=1.11.0", optional = true } +scikeras = { git = "https://github.com/adriangb/scikeras", optional = true } +braindecode = { version = "^0.7", optional = true } +torch = { version = "^1.13.1", optional = true } +libclang = { version = "^15.0", optional = true } -[tool.poetry.group.deeplearning] -optional = true -[tool.poetry.group.deeplearning.dependencies] -tensorflow = "^2.10" -keras = ">=1.11.0" -scikeras = { git = "https://github.com/adriangb/scikeras"} -braindecode = "^0.7" -torch = "^1.13.1" -libclang = "^15.0" +[tool.poetry.extras] +carbonemission = ["codecarbon"] +deeplearning = ["tensorflow", "keras", "scikeras", "braindecode", "torch", "libclang"] + [tool.poetry.group.docs] optional = true + [tool.poetry.group.docs.dependencies] Sphinx = "^5.3.0" sphinx-gallery = "^0.11.1" @@ -68,10 +71,12 @@ sphinx-rtd-theme = "^1.2.0" requires = ["poetry-core>=1.0.0"] build-backend = "poetry.core.masonry.api" + [tool.black] line-length = 90 target-version = ["py38"] + [tool.isort] src_paths = ["moabb"] profile = "black" diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 0fe7e03e9..000000000 --- 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b/tutorials/noplot_tutorial_5_build_a_custom_dataset.py similarity index 97% rename from tutorials/tutorial_5_build_a_custom_dataset.py rename to tutorials/noplot_tutorial_5_build_a_custom_dataset.py index ac488aac8..75c87210f 100644 --- a/tutorials/tutorial_5_build_a_custom_dataset.py +++ b/tutorials/noplot_tutorial_5_build_a_custom_dataset.py @@ -90,7 +90,7 @@ def __init__(self): # ------------------ # # We are now going to merge the two CompoundDataset into a single one. -# The implementation is straigh forward. Instead of providing a list of subjects, +# The implementation is straight forward. Instead of providing a list of subjects, # you should provide a list of CompoundDataset. # subjects_list = [CustomDataset1(), CustomDataset2()]