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# Authors: The MNE-Python contributors.
# License: BSD-3-Clause
# Copyright the MNE-Python contributors.
from functools import partial
from ...utils import get_config, verbose
from ..utils import (
_data_path_doc_accept,
_download_mne_dataset,
_get_version,
_version_doc,
has_dataset,
)
has_brainstorm_data = partial(has_dataset, name="bst_raw")
_description = """
URL: http://neuroimage.usc.edu/brainstorm/DatasetMedianNerveCtf
- One subject, one acquisition run of 6 minutes
- Subject stimulated using Digitimer Constant Current Stimulator
(model DS7A)
- The run contains 200 electric stimulations randomly distributed between
left and right:
- 102 stimulations of the left hand
- 98 stimulations of the right hand
- Inter-stimulus interval: jittered between [1500, 2000]ms
- Stimuli generated using PsychToolBox on Windows PC (TTL pulse generated
with the parallel port connected to the Digitimer via the rear panel BNC)
"""
@verbose
def data_path(
path=None,
force_update=False,
update_path=True,
download=True,
accept=False,
*,
verbose=None,
): # noqa: D103
return _download_mne_dataset(
name="bst_raw",
processor="nested_untar",
path=path,
force_update=force_update,
update_path=update_path,
download=download,
accept=accept,
)
_data_path_doc = _data_path_doc_accept.format(
name="brainstorm", conf="MNE_DATASETS_BRAINSTORM_DATA_PATH"
)
_data_path_doc = _data_path_doc.replace(
"brainstorm dataset", "brainstorm (bst_raw) dataset"
)
data_path.__doc__ = _data_path_doc
def get_version(): # noqa: D103
return _get_version("bst_raw")
get_version.__doc__ = _version_doc.format(name="brainstorm")
def description(): # noqa: D103
"""Get description of brainstorm (bst_raw) dataset."""
for desc in _description.splitlines():
print(desc)
def _skip_bstraw_data():
skip_testing = get_config("MNE_SKIP_TESTING_DATASET_TESTS", "false") == "true"
skip = skip_testing or not has_brainstorm_data()
return skip
def requires_bstraw_data(func):
"""Skip testing data test."""
import pytest
return pytest.mark.skipif(
_skip_bstraw_data(), reason="Requires brainstorm dataset"
)(func)
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