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Or one can add "--start" to the seqprogram command.

A hutch-python scan in "burst mode" (using the finite sequences generated by traingenerator.py/burstgenerator.py):

In [4]: daq.configure(motors=[sim.fast_motor1],group_mask=36, events=0, detname='andor_dir_0', seq_ctl=['DAQ:NEH:XPM:3:SeqReset',9,'DAQ:NEH:XPM:3:SeqDone'])
INFO     configure - configure: 1 motors
INFO     configure - Found readout group 5 for andor_dir_0.
Out[4]: ({}, {})
In [5]: RE(bp.scan([daq], sim.fast_motor1, -10, 10, 5))

Infinite Sequence With 2 Different Slow Andor Rates

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python psdaq/psdaq/control/rix_bluesky_scan.py -p 2 -C drp-srcf-cmp004 -g 36 --detname andor_vls_0 --seqctl DAQ:NEH:XPM:3:SeqReset 9 DAQ:NEH:XPM:3:SeqDone

A hutch-python scan in "burst mode" (need to use finite sequences generated by traingenerator.py/burstgenerator.py):

In [4]: daq.configure(motors=[sim.fast_motor1],group_mask=36, events=0, detname='andor_dir_0', seq_ctl=['DAQ:NEH:XPM:3:SeqReset',9,'DAQ:NEH:XPM:3:SeqDone'])
INFO     configure - configure: 1 motors
INFO     configure - Found readout group 5 for andor_dir_0.
Out[4]: ({}, {})
In [5]: RE(bp.scan([daq], sim.fast_motor1, -10, 10, 5))

A hutch-python scan where the sequence runs continuously, recording 1 slow-andor event per step.  In this case the start of the DAQ acquisition in each step is asynchronous to the running sequence.

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