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DOC: Fix changelog [circle deploy] (#13833)
Co-authored-by: Thomas S. Binns <t.s.binns@outlook.com>
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README.rst

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@@ -74,12 +74,12 @@ The minimum required dependencies to run MNE-Python are:
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- `Python <https://www.python.org>`__ ≥ 3.10
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- `NumPy <https://numpy.org>`__ ≥ 1.26
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- `SciPy <https://scipy.org>`__ ≥ 1.11
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- `SciPy <https://scipy.org>`__ ≥ 1.13
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- `Matplotlib <https://matplotlib.org>`__ ≥ 3.8
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- `Pooch <https://www.fatiando.org/pooch/latest/>`__ ≥ 1.5
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- `tqdm <https://tqdm.github.io>`__
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- `Jinja2 <https://palletsprojects.com/p/jinja/>`__
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- `decorator <https://github.com/micheles/decorator>`__
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- `tqdm <https://tqdm.github.io>`__ ≥ 4.66
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- `Jinja2 <https://palletsprojects.com/p/jinja/>`__ ≥ 3.1
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- `decorator <https://github.com/micheles/decorator>`__ ≥ 5.1
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- `lazy-loader <https://pypi.org/project/lazy_loader>`__ ≥ 0.3
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- `packaging <https://packaging.pypa.io/en/stable/>`__
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doc/changes/v1.12.rst

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@@ -23,12 +23,12 @@ Bugfixes
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- Fix bug where :func:`mne.viz.plot_raw` would access incorrect matplotlib attributes, by :newcontrib:`Thomas Caswell`. (`#13606 <https://github.com/mne-tools/mne-python/pull/13606>`__)
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- Allow reading alternative nasion label ("Nz") in SNIRF files when parsing landmarkPos3D, by :newcontrib:`Aniket Singh Yadav`. (`#13672 <https://github.com/mne-tools/mne-python/pull/13672>`__)
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- Change default-pick 'data' for "eyegaze" to false, following existing documentation. by :newcontrib:`Benedikt Ehinger`. (`#13723 <https://github.com/mne-tools/mne-python/pull/13723>`__)
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by :newcontrib:`Christoph Huber-Huber`. (`#13759 <https://github.com/mne-tools/mne-python/pull/13759>`__)
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- Fix bug in when reading EDF/GDF files where non-positive lowpass values were not handled correctly, now mapping them to the Nyquist frequency to prevent errors during plotting, by :newcontrib:`Hansuja Budhiraja`. (`#13769 <https://github.com/mne-tools/mne-python/pull/13769>`__)
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- Clearer error message when no ECG events are found in :func:`~mne.preprocessing.find_ecg_events`, by :newcontrib:`Hansuja Budhiraja`. (`#13771 <https://github.com/mne-tools/mne-python/pull/13771>`__)
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- Fix bug in 3D overlay compositing that could produce NaN RGBA values when the resulting alpha is zero, by `Pragnya Khandelwal`_. (`#13714 <https://github.com/mne-tools/mne-python/pull/13714>`__)
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- Make :meth:`~mne.io.Raw.interpolate_bads` method flexible (ignore, warn, raise) about how to handle interpolation of channels with invalid positions, by :newcontrib:`Himanshu Mahor`. (`#13518 <https://github.com/mne-tools/mne-python/pull/13518>`__)
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- Fix bug where outdated ``seghead.mgz`` files were reused in :func:`mne.bem.make_scalp_surfaces`. Add a new parameter ``reuse_seghead`` to control whether to reuse existing ``seghead.mgz`` files, by `Victor Ferat`_. (`#13024 <https://github.com/mne-tools/mne-python/pull/13024>`__)
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- When interpolating from axial to planar gradiometers, set info fields "chs", "ch_names", and "nchan", according to the interpolated data, reset info fields "device_info", "helium_info", "gantry_angle", "ctf_head_t", "dev_ctf_t", "bads", "projs", and "comps" to [] or None, and preserve all remaining info fields. by :newcontrib:`Christoph Huber-Huber`. (`#13759 <https://github.com/mne-tools/mne-python/pull/13759>`__)
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- Clarified an internal forward-model invariant in ``mne.forward._lead_dots`` by asserting that ``rref`` is ``None`` on the current code path, by :newcontrib:`Pragnya Khandelwal`. (`#13764 <https://github.com/mne-tools/mne-python/pull/13764>`__)
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- Fix bug preventing :func:`mne.time_frequency.read_spectrum` from reading saved :class:`mne.time_frequency.Spectrum` objects created from :meth:`mne.time_frequency.EpochsSpectrum.average`, by `Thomas Binns`_. (`#13521 <https://github.com/mne-tools/mne-python/pull/13521>`__)
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- Fix bug where :func:`mne.chpi.refit_hpi` did not take ``gof_limit`` into account when fitting HPI order, by `Eric Larson`_ (`#13525 <https://github.com/mne-tools/mne-python/pull/13525>`__)
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- Fix annotation removal logic in matplotlib based figures to correctly handle non-contiguous visible annotations, by `Johannes Herforth`_. (`#13703 <https://github.com/mne-tools/mne-python/pull/13703>`__)
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- Support mixed-type concatenation of :class:`mne.Annotations` and :class:`mne.HEDAnnotations`, preserving HED strings in ``extras["HED"]``, by `Bruno Aristimunha`_. (`#13736 <https://github.com/mne-tools/mne-python/pull/13736>`__)
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- Improved handling of dropped epochs in :func:`mne.viz.plot_ica_properties` and :meth:`mne.preprocessing.ICA.plot_properties`, allowing plots to be generated even with many bad annotations, by `Clemens Brunner`_. (`#13746 <https://github.com/mne-tools/mne-python/pull/13746>`__)
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- When interpolating from axial to planar gradiometers, set info fields "chs", "ch_names", and "nchan", according to the interpolated data,
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reset info fields "device_info", "helium_info", "gantry_angle", "ctf_head_t", "dev_ctf_t", "bads", "projs", and "comps" to [] or None, and
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preserve all remaining info fields.
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- Avoid some unnecessary computations when ``n_jobs=None`` is equivalent to ``n_jobs=1``, by `Simon Kern`_. (`#13777 <https://github.com/mne-tools/mne-python/pull/13777>`__)
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- Fix clipped annotations and x-axis label in :meth:`mne.io.Raw.plot`, by `Clemens Brunner`_. (`#13787 <https://github.com/mne-tools/mne-python/pull/13787>`__)
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- Fix bug with reading large CNT files by adding ``recompute_n_samples`` to :func:`mne.io.read_raw_cnt` with stricter ``data_format`` handling by `Teon Brooks`_ and `Eric Larson`_. (`#13548 <https://github.com/mne-tools/mne-python/pull/13548>`__)
@@ -67,7 +64,7 @@ New features
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- Add support for multi-wavelength NIRS processing to :func:`mne.preprocessing.nirs.beer_lambert_law`, :func:`mne.preprocessing.nirs.scalp_coupling_index`, and SNIRF reader :func:`mne.io.read_raw_snirf`, by :newcontrib:`Tamas Fehervari`. (`#13408 <https://github.com/mne-tools/mne-python/pull/13408>`__)
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- Add an optional ``show_channel_names`` parameter to :meth:`mne.viz.plot_alignment` to overlay channel labels at sensor locations in the 3D alignment view, by :newcontrib:`Aman Srivastava`. (`#13570 <https://github.com/mne-tools/mne-python/pull/13570>`__)
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- Add support for reading BCI2000 ``.dat`` files via :func:`mne.io.read_raw_bci2k`, and an example :file:`examples/io/read_bci2k.py` for downloading and visualizing BCI2000 data, by :newcontrib:`Hansuja Budhiraja`. (`#13699 <https://github.com/mne-tools/mne-python/pull/13699>`__)
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- Add support for scalar or per-vertex ``alpha`` (shape ``(n_vertices,)``) in distributed overlays, including validation/errors for invalid shapes, tests, and a visualization example in ``examples/visualization/brain.py`` using :meth:`mne.viz.Brain.add_data`, by :newcontrib:`Pragnya Khandelwal`. (:gh:`13706`) (`#13706 <https://github.com/mne-tools/mne-python/pull/13706>`__)
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- Add support for scalar or per-vertex ``alpha`` (shape ``(n_vertices,)``) in distributed overlays, including validation/errors for invalid shapes, tests, and a visualization example in ``examples/visualization/brain.py`` using :meth:`mne.viz.Brain.add_data`, by :newcontrib:`Pragnya Khandelwal`. (`#13706 <https://github.com/mne-tools/mne-python/pull/13706>`__)
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- Added ``cmap`` parameter to ``Evoked.animate_topomap`` to allow user-specified colormaps., by :newcontrib:`Hansuja Budhiraja`. (`#13756 <https://github.com/mne-tools/mne-python/pull/13756>`__)
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- Allow per-channel color overrides in :func:`mne.viz.plot_raw` via channel name keys in the ``color`` dict, by :newcontrib:`Hansuja Budhiraja`. (`#13765 <https://github.com/mne-tools/mne-python/pull/13765>`__)
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- Add example showing how to interoperate with R using ``rpy2``, by :newcontrib:`Aman Srivastava`. (`#13729 <https://github.com/mne-tools/mne-python/pull/13729>`__)
@@ -83,7 +80,7 @@ Other changes
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- Created a quality control report tutorial :ref:`tut-qc-report`, by :newcontrib:`varshaa-1616`. (`#13532 <https://github.com/mne-tools/mne-python/pull/13532>`__)
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- Improved docs for :func:`mne.io.read_raw_nirx`, by :newcontrib:`Natneal B`. (`#13541 <https://github.com/mne-tools/mne-python/pull/13541>`__)
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- Refactor f-strings in ``mne/tests/test_import_nesting.py``, by :newcontrib:`Shruti Bhale`. (`#13551 <https://github.com/mne-tools/mne-python/pull/13551>`__)
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- Remove legacy Python-version compatibility checks in ``mne.utils.misc._empty_hash`` now that ``usedforsecurity=False`` is always supported, by :newcontrib:`Varun Kasyap Pentamaraju` (:gh:`13566`). (`#13566 <https://github.com/mne-tools/mne-python/pull/13566>`__)
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- Remove legacy Python-version compatibility checks in ``mne.utils.misc._empty_hash`` now that ``usedforsecurity=False`` is always supported, by :newcontrib:`Varun Kasyap Pentamaraju`. (`#13566 <https://github.com/mne-tools/mne-python/pull/13566>`__)
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- Add optional low-variance ("hat") regularization to :func:`mne.stats.f_oneway` via new ``sigma`` and ``method`` parameters, by :newcontrib:`Aniket Singh Yadav`. (`#13698 <https://github.com/mne-tools/mne-python/pull/13698>`__)
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- Improve documentation of return values to clarify that methods typically return the original instance type for chaining purposes, by :newcontrib:`Aniket Singh Yadav`. (`#13674 <https://github.com/mne-tools/mne-python/pull/13674>`__)
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- Examples Using <some-method> section quirk fix in documentation, by :newcontrib:`Himanshu Mahor`. (`#13596 <https://github.com/mne-tools/mne-python/pull/13596>`__)

doc/install/installers.rst

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:class-content: text-center
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:name: install-linux
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.. button-link:: https://github.com/mne-tools/mne-installers/releases/download/v1.12.0/MNE-Python-1.12.0_0-Linux.sh
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.. button-link:: https://github.com/mne-tools/mne-installers/releases/download/v1.12.0-post1/MNE-Python-1.12.0_1-Linux.sh
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:ref-type: ref
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:color: primary
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:shadow:
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:class: font-weight-bold mt-3 install-download-button
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|cloud-arrow-down| |ensp| Download for Linux
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**Supported platforms:** Ubuntu 18.04 (Bionic Beaver) and newer
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**Supported platforms:** Ubuntu 20.04 (Focal Fossa) and newer
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Run the installer in a terminal via:
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.. code-block:: console
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$ sh ./MNE-Python-1.12.0_1-Linux.sh
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.. tab-item:: macOS (Intel)
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.. button-link:: https://github.com/mne-tools/mne-installers/releases/download/v1.12.0/MNE-Python-1.12.0_0-macOS_Intel.pkg
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.. button-link:: https://github.com/mne-tools/mne-installers/releases/download/v1.12.0-post1/MNE-Python-1.12.0_1-macOS_Intel.pkg
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.. button-link:: https://github.com/mne-tools/mne-installers/releases/download/v1.12.0/MNE-Python-1.12.0_0-macOS_M1.pkg
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.. button-link:: https://github.com/mne-tools/mne-installers/releases/download/v1.12.0-post1/MNE-Python-1.12.0_1-macOS_M1.pkg
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:ref-type: ref
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.. button-link:: https://github.com/mne-tools/mne-installers/releases/download/v1.12.0/MNE-Python-1.12.0_0-Windows.exe
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.. button-link:: https://github.com/mne-tools/mne-installers/releases/download/v1.12.0-post1/MNE-Python-1.12.0_1-Windows.exe
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particularly long on Apple Silicon-based computers. Subsequent runs should
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The installer sets up a standard ``conda`` environment. If you want to activate the
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environment manually (e.g., in headless setups) you can do as you would for any other
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conda environment:
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.. code-block:: bash
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$ source /path-to-installation-dir/bin/activate
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Uninstallation
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^^^^^^^^^^^^^^
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/home/username/mne-python/1.12.0_0/bin/python
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/home/username/mne-python/1.12.0_1/bin/python
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/Users/username/Applications/MNE-Python/1.12.0_0/.mne-python/bin/python
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/Users/username/Applications/MNE-Python/1.12.0_1/.mne-python/bin/python
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$ rm -Rf /Users/$USER/Applications/MNE-Python # if user-specific
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doc/sphinxext/related_software.txt

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# cross-domain-saliency-maps requirements are onerous (torch and tensorflow)
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# so we don't add it here, and install it separately in circleci_dependencies.sh
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# related software with onerous dependencies (e.g., torch and tensorflow)
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# should be added to related_software_nodeps.txt
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alphaCSC
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autoreject
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bycycle
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pyprep
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pyriemann
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python-picard
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rsatoolbox
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sesameeg
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sleepecg
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tensorpac

mne/gui/tests/test_coreg.py

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snirf_nirsport2_raw_path = (
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data_path / "SNIRF" / "NIRx" / "NIRSport2" / "1.0.3" / "2021-05-05_001.snirf"
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)
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# PyVista <-> NumPy 2.4 dev (https://github.com/pyvista/pyvista/issues/8484)
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pytestmark = [
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pytest.mark.filterwarnings(
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"ignore:Setting the dtype on a NumPy array.*:DeprecationWarning"
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),
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]
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pytest.importorskip("nibabel")
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