def _fetch_template_surface_files(
template: str,
data_dir: Union[str, Path],
layer: Optional[str] = None,
) -> Tuple[str, str]:
"""Fetches surface files.
Parameters
----------
template : str
Name of the surface template. Valid values are "fslr32k", "fsaverage",
"fsaverage3", "fsaverage4", "fsaverage5", "fsaverage6", "civet41k",
"civet164k".
layer : str, optional
Name of the cortical surface of interest. Valid values are "white",
"smoothwm", "pial", "inflated", "sphere" for fsaverage surfaces;
"midthickness", "inflated", "vinflated" for "fslr32k"; "mid, "white" for
civet surfaces; and "sphere" for "civet41k" If None, defaults to "pial",
"midthickness", or "mid", by default None.
data_dir : str, optional
Directory to save the data, by default None.
Returns
-------
Tuple of str
Surface files.
"""
if template == "fslr32k":
layer = layer if layer else "midthickness"
bunch = nnt_datasets.fetch_conte69(data_dir=str(data_dir))
elif template == "civet41k" or template == "civet164k":
layer = layer if layer else "mid"
if layer == "sphere":
return _fetch_civet_spheres(template, data_dir=Path(data_dir))
else:
bunch = nnt_datasets.fetch_civet(density=template[5:],
version="v2",
data_dir=str(data_dir))
else:
layer = layer if layer else "pial"
bunch = nnt_datasets.fetch_fsaverage(version=template,
data_dir=str(data_dir))
return bunch[layer]
def test_fetch_conte69(tmpdir):
conte = datasets.fetch_conte69(data_dir=tmpdir, verbose=0)
assert all(
hasattr(conte, k)
for k in ['midthickness', 'inflated', 'vinflated', 'info'])