snirf import - source or detector position

Describe the bug

The import of snirf data from an Artinis-portalite device cause an assert error.
The device have 3 sources but only one detector which leads to a 2D position format error.

Expected results

in RawSNIRF class code:

detPos2D = np.array(dat.get('nirs/probe/detectorPos2D'))

shape of detPos2D:

detPos2D.shape --> (2,)
len(detPos2D.shape) --> 1

Solution

1. for oxy4 file directly converted in snirf : correction of detPos2D to be able to create detPos3D

detPos2D = np.array(dat.get('nirs/probe/detectorPos2D'))
if len(detPos2D.shape) == 1:
> detPos2D = detPos2D.reshape(len(detectors), 2)

2. for oxy4 file converted in nirs then in snirf : correction of detPos3D

if len(detectors) != detPos3D.shape[0]:
> detPos3D = detPos3D.T   
> assert len(detectors) == detPos3D.shape[0]

Start by locating the RawSNIRF class and reproducing the import with Artinis Portalite SNIRF or oxy4-converted data. Check the detectorPos2D and detPos3D shapes against the detector count along both conversion paths. Done means the import handles the single-detector layout without the assertion error.