def do_get_input(self, channel, average=True,
minvol = -10.0, maxvol = 10.0,
trigger=False,
trig_slope='POS',
pre_trigger_samples=2,):
'''Read the specified number of samples from the input.'''
# Gabriele added the average parameter
devchan = '%s/%s' % (self._id, channel)
#Jan added samples=self._samples and freq=self._fraq
self._pre_trigger_samples = pre_trigger_samples
if self._pre_trigger_samples < 2 :
raise ValueError('The number of pre_trigger samples has to be ' +
'larger than 1.')
if self._samples < (self._pre_trigger_samples + 2):
raise ValueError('The total number of samples has to be larger ' +
'than the number of pre trigger samples + 1')
values = nidaq.read(devchan,
config=self._chan_config,
samples=self._samples,
freq=self._freq,
averaging=average,
minv=minvol,
maxv=maxvol,
triggered=trigger,
trigger_slope=trig_slope,
pre_trig_samples=pre_trigger_samples)
return (values * 1000.0)
def do_get_input(
self,
channel,
average=True,
minvol=-10.0,
maxvol=10.0,
trigger=False,
trig_slope='POS',
pre_trigger_samples=2,
):
'''Read the specified number of samples from the input.'''
# Gabriele added the average parameter
devchan = '%s/%s' % (self._id, channel)
#Jan added samples=self._samples and freq=self._fraq
self._pre_trigger_samples = pre_trigger_samples
if self._pre_trigger_samples < 2:
raise ValueError('The number of pre_trigger samples has to be ' +
'larger than 1.')
if self._samples < (self._pre_trigger_samples + 2):
raise ValueError('The total number of samples has to be larger ' +
'than the number of pre trigger samples + 1')
values = nidaq.read(devchan,
config=self._chan_config,
samples=self._samples,
freq=self._freq,
averaging=average,
minv=minvol,
maxv=maxvol,
triggered=trigger,
trigger_slope=trig_slope,
pre_trig_samples=pre_trigger_samples)
return (values * 1000.0)
def do_get_input(self, channel):
devchan = '%s/%s' % (self._id, channel)
#Jan added samples=self._samples and freq=self._fraq
return nidaq.read(devchan,
config=self._chan_config,
samples=self._samples,
freq=self._freq)
def do_get_input(self, channel):
devchan = '%s/%s' % (self._id, channel)
return nidaq.read(devchan, config=self._chan_config)
def do_get_input(self, channel):
devchan = '%s/%s' % (self._id, channel)
#Jan added samples=self._samples and freq=self._fraq
return nidaq.read(devchan, config=self._chan_config, samples=self._samples, freq=self._freq)
def do_get_input(self, channel):
devchan = '%s/%s' % (self._id, channel)
return nidaq.read(devchan, config=self._chan_config)
