def randomise(self, value):
TruncationAndFoldingMixin.check_inputs(self, value)
noisy_value = super().randomise(value)
return self._fold(noisy_value)
def __repr__(self):
output = super().__repr__()
output += TruncationAndFoldingMixin.__repr__(self)
return output
def check_inputs(self, value):
super().check_inputs(value)
TruncationAndFoldingMixin.check_inputs(self, value)
return True
def __init__(self):
super().__init__()
TruncationAndFoldingMixin.__init__(self)
def _check_all(self, value):
super()._check_all(value)
TruncationAndFoldingMixin._check_all(self, value)
return True
def __init__(self, *, epsilon, delta=0.0, sensitivity, lower, upper):
super().__init__(epsilon=epsilon, delta=delta, sensitivity=sensitivity)
TruncationAndFoldingMixin.__init__(self, lower=lower, upper=upper)
def _check_all(self, value):
Laplace._check_all(self, value)
TruncationAndFoldingMixin._check_all(self, value)
return True
def randomise(self, value):
TruncationAndFoldingMixin.check_inputs(self, value)
noisy_value = super().randomise(value)
return int(np.round(self._truncate(noisy_value)))
