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7
mne/datasets/brainstorm/__init__.py
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7
mne/datasets/brainstorm/__init__.py
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# Authors: The MNE-Python contributors.
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# License: BSD-3-Clause
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# Copyright the MNE-Python contributors.
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"""Brainstorm datasets."""
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from . import bst_raw, bst_resting, bst_auditory, bst_phantom_ctf, bst_phantom_elekta
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69
mne/datasets/brainstorm/bst_auditory.py
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69
mne/datasets/brainstorm/bst_auditory.py
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# Authors: The MNE-Python contributors.
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# License: BSD-3-Clause
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# Copyright the MNE-Python contributors.
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from ...utils import verbose
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from ..utils import (
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_data_path_doc_accept,
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_download_mne_dataset,
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_get_version,
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_version_doc,
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)
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_description = """
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URL: http://neuroimage.usc.edu/brainstorm/DatasetAuditory
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- One subject, two acquisition runs of 6 minutes each
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- Subject stimulated binaurally with intra-aural earphones
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(air tubes+transducers)
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- Each run contains:
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- 200 regular beeps (440Hz)
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- 40 easy deviant beeps (554.4Hz, 4 semitones higher)
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- Random inter-stimulus interval: between 0.7s and 1.7s seconds, uniformly
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distributed
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- The subject presses a button when detecting a deviant with the right
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index finger
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- Auditory stimuli generated with the Matlab Psychophysics toolbox
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"""
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@verbose
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def data_path(
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path=None,
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force_update=False,
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update_path=True,
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download=True,
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accept=False,
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*,
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verbose=None,
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): # noqa: D103
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return _download_mne_dataset(
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name="bst_auditory",
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processor="nested_untar",
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path=path,
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force_update=force_update,
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update_path=update_path,
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download=download,
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accept=accept,
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)
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_data_path_doc = _data_path_doc_accept.format(
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name="brainstorm", conf="MNE_DATASETS_BRAINSTORM_DATA_PATH"
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)
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_data_path_doc = _data_path_doc.replace(
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"brainstorm dataset", "brainstorm (bst_auditory) dataset"
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)
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data_path.__doc__ = _data_path_doc
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def get_version(): # noqa: D103
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return _get_version("bst_auditory")
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get_version.__doc__ = _version_doc.format(name="brainstorm")
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def description():
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"""Get description of brainstorm (bst_auditory) dataset."""
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for desc in _description.splitlines():
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print(desc)
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58
mne/datasets/brainstorm/bst_phantom_ctf.py
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mne/datasets/brainstorm/bst_phantom_ctf.py
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# Authors: The MNE-Python contributors.
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# License: BSD-3-Clause
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# Copyright the MNE-Python contributors.
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from ...utils import verbose
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from ..utils import (
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_data_path_doc_accept,
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_download_mne_dataset,
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_get_version,
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_version_doc,
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)
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_description = """
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URL: http://neuroimage.usc.edu/brainstorm/Tutorials/PhantomCtf
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"""
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@verbose
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def data_path(
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path=None,
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force_update=False,
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update_path=True,
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download=True,
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accept=False,
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*,
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verbose=None,
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): # noqa: D103
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return _download_mne_dataset(
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name="bst_phantom_ctf",
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processor="nested_untar",
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path=path,
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force_update=force_update,
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update_path=update_path,
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download=download,
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accept=accept,
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)
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_data_path_doc = _data_path_doc_accept.format(
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name="brainstorm", conf="MNE_DATASETS_BRAINSTORM_DATA_PATH"
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)
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_data_path_doc = _data_path_doc.replace(
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"brainstorm dataset", "brainstorm (bst_phantom_ctf) dataset"
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)
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data_path.__doc__ = _data_path_doc
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def get_version(): # noqa: D103
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return _get_version("bst_phantom_ctf")
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get_version.__doc__ = _version_doc.format(name="brainstorm")
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def description():
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"""Get description of brainstorm (bst_phantom_ctf) dataset."""
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for desc in _description.splitlines():
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print(desc)
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58
mne/datasets/brainstorm/bst_phantom_elekta.py
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58
mne/datasets/brainstorm/bst_phantom_elekta.py
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# Authors: The MNE-Python contributors.
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# License: BSD-3-Clause
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# Copyright the MNE-Python contributors.
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from ...utils import verbose
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from ..utils import (
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_data_path_doc_accept,
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_download_mne_dataset,
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_get_version,
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_version_doc,
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)
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_description = """
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URL: http://neuroimage.usc.edu/brainstorm/Tutorials/PhantomElekta
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"""
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@verbose
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def data_path(
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path=None,
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force_update=False,
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update_path=True,
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download=True,
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accept=False,
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*,
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verbose=None,
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): # noqa: D103
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return _download_mne_dataset(
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name="bst_phantom_elekta",
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processor="nested_untar",
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path=path,
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force_update=force_update,
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update_path=update_path,
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download=download,
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accept=accept,
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)
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_data_path_doc = _data_path_doc_accept.format(
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name="brainstorm", conf="MNE_DATASETS_BRAINSTORM_DATA_PATH"
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)
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_data_path_doc = _data_path_doc.replace(
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"brainstorm dataset", "brainstorm (bst_phantom_elekta) dataset"
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)
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data_path.__doc__ = _data_path_doc
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def get_version(): # noqa: D103
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return _get_version("bst_phantom_elekta")
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get_version.__doc__ = _version_doc.format(name="brainstorm")
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def description():
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"""Get description of brainstorm (bst_phantom_elekta) dataset."""
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for desc in _description.splitlines():
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print(desc)
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88
mne/datasets/brainstorm/bst_raw.py
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88
mne/datasets/brainstorm/bst_raw.py
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# Authors: The MNE-Python contributors.
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# License: BSD-3-Clause
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# Copyright the MNE-Python contributors.
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from functools import partial
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from ...utils import get_config, verbose
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from ..utils import (
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_data_path_doc_accept,
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_download_mne_dataset,
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_get_version,
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_version_doc,
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has_dataset,
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)
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has_brainstorm_data = partial(has_dataset, name="bst_raw")
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_description = """
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URL: http://neuroimage.usc.edu/brainstorm/DatasetMedianNerveCtf
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- One subject, one acquisition run of 6 minutes
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- Subject stimulated using Digitimer Constant Current Stimulator
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(model DS7A)
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- The run contains 200 electric stimulations randomly distributed between
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left and right:
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- 102 stimulations of the left hand
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- 98 stimulations of the right hand
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- Inter-stimulus interval: jittered between [1500, 2000]ms
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- Stimuli generated using PsychToolBox on Windows PC (TTL pulse generated
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with the parallel port connected to the Digitimer via the rear panel BNC)
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"""
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@verbose
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def data_path(
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path=None,
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force_update=False,
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update_path=True,
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download=True,
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accept=False,
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*,
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verbose=None,
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): # noqa: D103
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return _download_mne_dataset(
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name="bst_raw",
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processor="nested_untar",
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path=path,
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force_update=force_update,
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update_path=update_path,
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download=download,
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accept=accept,
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)
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_data_path_doc = _data_path_doc_accept.format(
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name="brainstorm", conf="MNE_DATASETS_BRAINSTORM_DATA_PATH"
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)
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_data_path_doc = _data_path_doc.replace(
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"brainstorm dataset", "brainstorm (bst_raw) dataset"
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)
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data_path.__doc__ = _data_path_doc
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def get_version(): # noqa: D103
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return _get_version("bst_raw")
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get_version.__doc__ = _version_doc.format(name="brainstorm")
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def description(): # noqa: D103
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"""Get description of brainstorm (bst_raw) dataset."""
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for desc in _description.splitlines():
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print(desc)
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def _skip_bstraw_data():
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skip_testing = get_config("MNE_SKIP_TESTING_DATASET_TESTS", "false") == "true"
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skip = skip_testing or not has_brainstorm_data()
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return skip
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def requires_bstraw_data(func):
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"""Skip testing data test."""
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import pytest
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return pytest.mark.skipif(
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_skip_bstraw_data(), reason="Requires brainstorm dataset"
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)(func)
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61
mne/datasets/brainstorm/bst_resting.py
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61
mne/datasets/brainstorm/bst_resting.py
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# Authors: The MNE-Python contributors.
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# License: BSD-3-Clause
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# Copyright the MNE-Python contributors.
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from ...utils import verbose
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from ..utils import (
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_data_path_doc_accept,
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_download_mne_dataset,
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_get_version,
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_version_doc,
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)
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_description = """
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URL: http://neuroimage.usc.edu/brainstorm/DatasetResting
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- One subject
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- Two runs of 10 min of resting state recordings
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- Eyes open
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"""
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@verbose
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def data_path(
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path=None,
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force_update=False,
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update_path=True,
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download=True,
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accept=False,
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*,
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verbose=None,
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): # noqa: D103
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return _download_mne_dataset(
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name="bst_resting",
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processor="nested_untar",
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path=path,
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force_update=force_update,
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update_path=update_path,
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download=download,
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accept=accept,
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)
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_data_path_doc = _data_path_doc_accept.format(
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name="brainstorm", conf="MNE_DATASETS_BRAINSTORM_DATA_PATH"
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)
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_data_path_doc = _data_path_doc.replace(
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"brainstorm dataset", "brainstorm (bst_resting) dataset"
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)
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data_path.__doc__ = _data_path_doc
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def get_version(): # noqa: D103
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return _get_version("bst_resting")
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get_version.__doc__ = _version_doc.format(name="brainstorm")
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def description():
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"""Get description of brainstorm (bst_resting) dataset."""
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for desc in _description.splitlines():
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print(desc)
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