NI_DAQmx: Uniformity in how AO and DO tables are checked for being all zero.

not np.any(A) is more memory efficient than np.all(A==0), as it doesn't have to
construct the intermediate array of bools.

Author: chrisjbillington

NI_DAQmx/blacs_workers.py

@@ -277,7 +277,7 @@ def program_buffered_AO(self, AO_table):
         # Check if AOs are all zero for the whole shot. If they are this triggers a
         # bug in NI-DAQmx that throws a cryptic error for buffered output. In this
         # case, run it as a non-buffered task.
-        self.AO_all_zero = all(AO_table.flatten() == 0)
+        self.AO_all_zero = not np.any(AO_table)
         if self.AO_all_zero:
             AO_table = AO_table[0:1]