def parameters(self):
parameterDict = super(FidelityEvaluation, self).parameters()
name='threshold'
parameterDict[name] = Parameter(name=name, dataType='magnitude',
value=self.settings[name], text=self.settings.get( (name, 'text') ),
tooltip='Threshold evaluation (the threshold value itself is excluded)')
parameterDict['invert'] = Parameter(name='invert', dataType='bool', value=self.settings['invert'])
return parameterDict
def parameters(self):
parameterDict = super(MeanEvaluation, self).parameters()
if isinstance(self.settings['errorBarType'], int): #preserve backwards compatibility -- previously errorBarType was an int, now it's a string, so we map it over
self.settings['errorBarType'] = self.errorBarTypes[self.settings['errorBarType']]
parameterDict['errorBarType'] = Parameter(name='errorBarType', dataType='select',
choices=self.errorBarTypes, value=self.settings['errorBarType'])
parameterDict['transformation'] = Parameter(name='transformation', dataType='str',
value=self.settings['transformation'], tooltip="use y for the result in a mathematical expression")
return parameterDict
def parameters(self):
parameterDict = super(RangeEvaluation, self).parameters()
tooltipLookup = SequenceDict([ ('min', 'Range minimum (inclusive)'),
('max', 'Range maximum (inclusive)') ])
for name, tooltip in tooltipLookup.items():
parameterDict[name] = Parameter(name=name, dataType='magnitude', value=self.settings[name],
text=self.settings.get( (name, 'text') ), tooltip=tooltip)
parameterDict['invert'] = Parameter(name='invert', dataType='bool', value=self.settings['invert'])
return parameterDict
def parameters(self):
parameterDict = super(TwoIonEvaluation, self).parameters()
parameterDict['Ion_1'] = Parameter(name='Ion_1', dataType='str', value=self.settings['Ion_1'], tooltip='The evaluation for ion 1')
parameterDict['Ion_2'] = Parameter(name='Ion_2', dataType='str', value=self.settings['Ion_2'], tooltip='The evaluation for ion 2')
tooltipLookup = SequenceDict([ ('dd', 'multiplier for dd'),
('db', 'multiplier for db'),
('bd', 'multiplier for bd'),
('bb', 'multiplier for bb') ])
for name, tooltip in tooltipLookup.items():
parameterDict[name] = Parameter(name=name, dataType='magnitude', value=self.settings[name],
text=self.settings.get( (name, 'text') ), tooltip=tooltip)
return parameterDict
def parameters(self):
"""return the parameter definition used by the ParameterTable to show the gui"""
parameterDict = super(Lecroy1102, self).parameters()
name = 'Open connection and configure'
parameterDict[name] = Parameter(name=name,
dataType='action',
value='open')
name = 'Close connection'
parameterDict[name] = Parameter(name=name,
dataType='action',
value='close')
return parameterDict
def parameters(self):
parameterDict = super(CounterSumThresholdEvaluation, self).parameters()
parameterDict['id'] = Parameter(name='id', dataType='magnitude', value=self.settings['id'],
text=self.settings.get( ('id', 'text') ), tooltip='id of counters to sum')
parameterDict['counters'] = Parameter(name='counters', dataType='multiselect',
value=self.settings['counters'], choices=list(map(str, range(16))),
tooltip='counters to sum')
name='threshold'
parameterDict[name] = Parameter(name=name, dataType='magnitude',
value=self.settings[name], text=self.settings.get( (name, 'text') ),
tooltip='Threshold evaluation (the threshold value itself is excluded)')
parameterDict['invert'] = Parameter(name='invert', dataType='bool', value=self.settings['invert'])
return parameterDict
def parameters(self):
parameterDict = super(CounterSumMeanEvaluation, self).parameters()
parameterDict['id'] = Parameter(name='id', dataType='magnitude', value=self.settings['id'],
text=self.settings.get( ('id', 'text') ), tooltip='id of counters to sum')
parameterDict['counters'] = Parameter(name='counters', dataType='multiselect',
value=self.settings['counters'], choices=list(map(str, range(16))),
tooltip='counters to sum')
parameterDict['errorBarType'] = Parameter(name='errorBarType', dataType='select',
choices=self.errorBarTypes, value=self.settings['errorBarType'])
parameterDict['transformation'] = Parameter(name='transformation', dataType='str',
value=self.settings['transformation'],
tooltip="use y for the result in a mathematical expression")
return parameterDict
def parameters(self):
parameterDict = super(FeedbackEvaluation, self).parameters()
if isinstance(self.settings['SetPoint'], ExpressionValue):
self.settings['SetPoint'] = self.settings['SetPoint'].value
tooltipLookup = SequenceDict([ ('SetPoint', 'Set point of PI loop'),
('P', 'Proportional gain'),
('I', 'Integral gain'),
('AveragingTime', 'Time spent accumulating data before updating the servo output') ])
for name, tooltip in tooltipLookup.items():
parameterDict[name] = Parameter(name=name, dataType='magnitude', value=self.settings[name],
text=self.settings.get( (name, 'text') ), tooltip=tooltip)
parameterDict['GlobalVariable'] = Parameter(name='GlobalVariable', dataType='select', value=self.settings['GlobalVariable'],
choices=sorted(self.globalDict.keys()), tooltip="Name of variable to which servo output value should be pushed")
parameterDict['Reset'] = Parameter(name='Reset', dataType='bool', value=self.settings['Reset'], tooltip="Reset integrator")
return parameterDict
def parameters(self):
"""return the parameter definitions used by the parameterTable to show the gui"""
return SequenceDict([
('Use Calibration',
Parameter(name='Use Calibration',
dataType='bool',
value=self.settings.deviceSettings['useCalibration'],
key='useCalibration')),
('Program on scan start',
Parameter(
name='Program on scan start',
dataType='bool',
value=self.settings.deviceSettings['programOnScanStart'],
key='programOnScanStart')),
('Program now',
Parameter(name='Program now', dataType='action',
value='program')),
('Trigger now',
Parameter(name='Trigger now', dataType='action', value='trigger'))
])
def parameters(self):
"""return the parameter definition used by the ParameterTable to show the gui"""
parameterDict = super(ChaseDA12000, self).parameters()
name = 'Run continuously'
parameterDict[name] = Parameter(
name=name,
dataType='bool',
value=self.settings.deviceSettings['continuous'],
tooltip=
"Restart sequence at sequence end, continuously (no trigger)",
key='continuous')
return parameterDict
def parameters(self):
parameterDict = super(ParityEvaluation, self).parameters()
parameterDict['Ion_1'] = Parameter(name='Ion_1', dataType='str', value=self.settings['Ion_1'], tooltip='The evaluation for ion 1')
parameterDict['Ion_2'] = Parameter(name='Ion_2', dataType='str', value=self.settings['Ion_2'], tooltip='The evaluation for ion 2')
return parameterDict