def test_setMinMaxLength_alters_accepted_range(self):
validator = FloatArrayLengthValidator()
self.assertFalse(validator.hasMinLength())
self.assertFalse(validator.hasMaxLength())
lower = 4
upper = 7
validator.setLengthMin(lower)
self.assertTrue(validator.hasMinLength())
self.assertFalse(validator.hasMaxLength())
self.assertEqual(validator.getMinLength(), lower)
validator.setLengthMax(upper)
self.assertTrue(validator.hasMinLength())
self.assertTrue(validator.hasMaxLength())
self.assertEqual(validator.getMaxLength(), upper)
validator.clearLengthMin()
self.assertFalse(validator.hasMinLength())
self.assertTrue(validator.hasMaxLength())
validator.clearLengthMax()
self.assertFalse(validator.hasMinLength())
self.assertFalse(validator.hasMaxLength())
def test_setMinMaxLength_alters_accepted_range(self):
validator = FloatArrayLengthValidator()
self.assertFalse(validator.hasMinLength())
self.assertFalse(validator.hasMaxLength())
lower = 4
upper = 7
validator.setLengthMin(lower)
self.assertTrue(validator.hasMinLength())
self.assertFalse(validator.hasMaxLength())
self.assertEquals(validator.getMinLength(), lower)
validator.setLengthMax(upper)
self.assertTrue(validator.hasMinLength())
self.assertTrue(validator.hasMaxLength())
self.assertEquals(validator.getMaxLength(), upper)
validator.clearLengthMin()
self.assertFalse(validator.hasMinLength())
self.assertTrue(validator.hasMaxLength())
validator.clearLengthMax()
self.assertFalse(validator.hasMinLength())
self.assertFalse(validator.hasMaxLength())
def PyInit(self):
self.declareProperty(
MultipleFileProperty('CalibrationRun',
action=FileAction.Load,
extensions=['nxs']),
doc=
'File path of calibration runs (numors). Must be detector scans.')
self.declareProperty(
FileProperty('CalibrationFile',
'',
action=FileAction.OptionalLoad,
extensions=['nxs']),
doc='Optional file containing previous calibration constants.')
self.declareProperty(
name='CalibrationMethod',
defaultValue='Median',
validator=StringListValidator(['Median', 'Mean',
'MostLikelyMean']),
doc='The method of how the calibration constant of a pixel '
'is derived from the distribution of ratios.')
self.declareProperty(
name='DerivationMethod',
defaultValue='SequentialSummedReference1D',
validator=StringListValidator(
['SequentialSummedReference1D', 'GlobalSummedReference2D']),
doc=
'Choose sequential for D20 (1D detector), global for D2B (2D detector).'
)
self.declareProperty(
name='InterpolateOverlappingAngles',
defaultValue=False,
doc=
'Whether to interpolate scattering angle values in overlapping regions (D20 only).'
)
self.declareProperty(
name='NormaliseTo',
defaultValue='None',
validator=StringListValidator(['None', 'Monitor', 'ROI']),
doc=
'Normalise to monitor or ROI counts before deriving the calibration.'
)
thetaRangeValidator = FloatArrayOrderedPairsValidator()
self.declareProperty(
FloatArrayProperty(name='ROI',
values=[0, 100.],
validator=thetaRangeValidator),
doc=
'Scattering angle regions of interest for normalisation [degrees].'
)
normaliseToROI = VisibleWhenProperty('NormaliseTo',
PropertyCriterion.IsEqualTo,
'ROI')
self.setPropertySettings('ROI', normaliseToROI)
self.declareProperty(
FloatArrayProperty(name='ExcludedRange',
values=[],
validator=thetaRangeValidator),
doc='Scattering angle regions to exclude from the computation of '
'relative calibration constants; for example, the beam stop [degrees]. '
)
pixelRangeValidator = CompositeValidator()
greaterThanOne = IntArrayBoundedValidator(lower=1)
lengthTwo = IntArrayLengthValidator()
lengthTwo.setLength(2)
orderedPairsValidator = IntArrayOrderedPairsValidator()
pixelRangeValidator.add(greaterThanOne)
pixelRangeValidator.add(lengthTwo)
pixelRangeValidator.add(orderedPairsValidator)
self.declareProperty(
IntArrayProperty(name='PixelRange',
values=[1, 3072],
validator=pixelRangeValidator),
doc=
'Range of the pixel numbers to compute the calibration factors for (D20 only); '
'for the other pixels outside the range, the factor will be set to 1.'
)
self.declareProperty(
MatrixWorkspaceProperty('OutputResponseWorkspace',
'',
optional=PropertyMode.Optional,
direction=Direction.Output),
doc=
'Output workspace containing the summed diffraction patterns of all the overlapping pixels.'
)
self.declareProperty(
MatrixWorkspaceProperty('OutputWorkspace',
'',
direction=Direction.Output),
doc=
'Output workspace containing the calibration constants (inverse of efficiency) for each pixel.'
)
self.declareProperty(
name='NumberOfIterations',
defaultValue=1,
validator=IntBoundedValidator(lower=0, upper=10),
doc=
'Number of iterations to perform (D2B only): 0 means auto; that is, the '
'iterations will terminate after reaching some Chi2/NdoF.')
maskCriterionValidator = CompositeValidator()
arrayLengthTwo = FloatArrayLengthValidator()
arrayLengthTwo.setLengthMax(2)
orderedPairs = FloatArrayOrderedPairsValidator()
maskCriterionValidator.add(arrayLengthTwo)
maskCriterionValidator.add(orderedPairs)
self.declareProperty(
FloatArrayProperty(name='MaskCriterion',
values=[],
validator=maskCriterionValidator),
doc='Efficiency constants outside this range will be set to zero.')
self.declareProperty(
name='UseCalibratedData',
defaultValue=False,
doc=
'Whether or not to use the calibrated data in the NeXus files (D2B only).'
)
def PyInit(self):
self.declareProperty(MultipleFileProperty('CalibrationRun', action=FileAction.Load, extensions=['nxs']),
doc='File path of calibration runs (numors). Must be detector scans.')
self.declareProperty(FileProperty('CalibrationFile', '', action=FileAction.OptionalLoad, extensions=['nxs']),
doc='Optional file containing previous calibration constants.')
self.declareProperty(name='CalibrationMethod',
defaultValue='Median',
validator=StringListValidator(['Median', 'Mean', 'MostLikelyMean']),
doc='The method of how the calibration constant of a pixel '
'is derived from the distribution of ratios.')
self.declareProperty(name='DerivationMethod', defaultValue='SequentialSummedReference1D',
validator=StringListValidator(['SequentialSummedReference1D', 'GlobalSummedReference2D']),
doc='Choose sequential for D20 (1D detector), global for D2B (2D detector).')
self.declareProperty(name='InterpolateOverlappingAngles', defaultValue=False,
doc='Whether to interpolate scattering angle values in overlapping regions (D20 only).')
self.declareProperty(name='NormaliseTo',
defaultValue='None',
validator=StringListValidator(['None', 'Monitor', 'ROI']),
doc='Normalise to monitor or ROI counts before deriving the calibration.')
thetaRangeValidator = FloatArrayOrderedPairsValidator()
self.declareProperty(FloatArrayProperty(name='ROI', values=[0,100.], validator=thetaRangeValidator),
doc='Scattering angle regions of interest for normalisation [degrees].')
normaliseToROI = VisibleWhenProperty('NormaliseTo', PropertyCriterion.IsEqualTo, 'ROI')
self.setPropertySettings('ROI', normaliseToROI)
self.declareProperty(FloatArrayProperty(name='ExcludedRange', values=[], validator=thetaRangeValidator),
doc='Scattering angle regions to exclude from the computation of '
'relative calibration constants; for example, the beam stop [degrees]. ')
pixelRangeValidator = CompositeValidator()
greaterThanOne = IntArrayBoundedValidator()
greaterThanOne.setLower(1)
lengthTwo = IntArrayLengthValidator()
lengthTwo.setLength(2)
orderedPairsValidator = IntArrayOrderedPairsValidator()
pixelRangeValidator.add(greaterThanOne)
pixelRangeValidator.add(lengthTwo)
pixelRangeValidator.add(orderedPairsValidator)
self.declareProperty(IntArrayProperty(name='PixelRange', values=[1,3072], validator=pixelRangeValidator),
doc='Range of the pixel numbers to compute the calibration factors for (D20 only); '
'for the other pixels outside the range, the factor will be set to 1.')
self.declareProperty(MatrixWorkspaceProperty('OutputResponseWorkspace', '',
optional=PropertyMode.Optional, direction=Direction.Output),
doc='Output workspace containing the summed diffraction patterns of all the overlapping pixels.')
self.declareProperty(MatrixWorkspaceProperty('OutputWorkspace', '',
direction=Direction.Output),
doc='Output workspace containing the calibration constants (inverse of efficiency) for each pixel.')
self.declareProperty(name='NumberOfIterations',
defaultValue=1,
validator=IntBoundedValidator(lower=0, upper=10),
doc='Number of iterations to perform (D2B only): 0 means auto; that is, the '
'iterations will terminate after reaching some Chi2/NdoF.')
maskCriterionValidator = CompositeValidator()
arrayLengthTwo = FloatArrayLengthValidator()
arrayLengthTwo.setLengthMax(2)
orderedPairs = FloatArrayOrderedPairsValidator()
maskCriterionValidator.add(arrayLengthTwo)
maskCriterionValidator.add(orderedPairs)
self.declareProperty(FloatArrayProperty(name='MaskCriterion', values=[], validator=maskCriterionValidator),
doc='Efficiency constants outside this range will be set to zero.')
self.declareProperty(name='UseCalibratedData',
defaultValue=False,
doc='Whether or not to use the calibrated data in the NeXus files (D2B only).')