Need to look at this bug:

  File "C:\Users\Spectral\Anaconda3\envs\ASLM\lib\tkinter\__init__.py", line 1885, in __call__
    return self.func(*args)
  File "C:\Users\Spectral\Documents\GitHub\ASLM\src\controller\sub_controllers\acquire_bar_controller.py", line 100, in launch_popup_window
    self.parent_controller.execute('acquire')
  File "C:\Users\Spectral\Documents\GitHub\ASLM\src\controller\aslm_controller.py", line 279, in execute
    self.threads_pool.createThread('camera', self.model.acquire_image())
  File "C:\Users\Spectral\Documents\GitHub\ASLM\src\model\aslm_model.py", line 70, in acquire_image
    self.daq.write_waveforms_to_tasks()
  File "C:\Users\Spectral\Documents\GitHub\ASLM\src\model\devices\daq\NI\NIDAQ.py", line 331, in write_waveforms_to_tasks
    self.galvo_etl_task.write(self.galvo_and_etl_waveforms)
  File "C:\Users\Spectral\Anaconda3\envs\ASLM\lib\site-packages\nidaqmx\task.py", line 1221, in write
    self._raise_invalid_write_num_chans_error(
  File "C:\Users\Spectral\Anaconda3\envs\ASLM\lib\site-packages\nidaqmx\task.py", line 1092, in _raise_invalid_write_num_chans_error
    raise DaqError(
nidaqmx.errors.DaqError: Write cannot be performed, because the number of channels in the data does not match the number of channels in the task.

When writing, supply data for all channels in the task. Alternatively, modify the task to contain the same number of channels as the data written.

Number of Channels in Task: 4
Number of Channels in Data: 1

…SW/ASLM into camera_attempt

No more errors being thrown.  Function being called properly, but the camera now hangs.  I'm not sure if we are initializing the camera in the proper mode.  Checking next.

Now consistent.

Pretty brutal on so many levels, but success.  Had to dig into the camera API, evaluate my wiring, check signals on oscilloscopes, etc.

Also tried to clean up the Hamamatsu API code to make it slightly more readable.  But not much.