DI-Task, channel with grouping='for_all_lines' fails about pylibnidaqmx HOT 3 OPEN

Darn, I forgot to attach the script. Sorry. Here it is.

I wonder if you get all data with your patch?
Namely, nidaqmx docs says
"""
Each line in a channel gets one byte per sample.
"""
In your example, you specify 32 lines, meaning,
to read data with grouping for all lines, one
sample needs 32 bytes == 256 bits.
So, can you check that with 32-bit integer
you actually get all the data. Also, what is the
value of returned bytes_per_sample in your case?

Perhaps the data array needs to be expanded?
For instance, using

  data = np.zeros((number_of_channels, samples_per_channel, number_of_lines),dtype=uint8)

as a fix of the issue?

Mea culpa. You are right. I made that mistake because I did not look at your 
code closely enough. I'm so used to using ReadDigitalU32 that I did not even 
know that ReadDigitalLines exists. Yes, it gives you one byte per line, 
therefore may patch is grossly wrong!

Expansion does not work either. The format that ReadDigitalLines returns is
data = np.zeros((samples_per_channel, sum_of_lines),dtype=np.uint8)

if 'group_by_scan_number' is used. Transposed for 'group_by_channel'. If 
ReadDigitalLines is used, the argument 'per_line' or 'for_all_lines' is 
irrelevant: The format is the same. I think these are only relevant for 
ReadDigitalU(8,16,32)

I did some quick testing by reading 32 lines (as in the script) and applying 
+5V to 1 line at a time which worked as expected.