Source code for sourcefinder.utility.uncertain
#
# LOFAR Transients Key Project
#
# Uncertain quantities.
# Based on:
# (c) Robert Jordens <jordens@debian.org>
# Made available freely under the Python license
# http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/535164
import math
from sourcefinder.utility.coordinates import cmp
[docs]
class Uncertain(object):
"""Represents a numeric value with a known small uncertainty (error,
standard deviation...).
Numeric operators are overloaded to work with other Uncertain or
numeric objects. The uncertainty (error) must be small. Otherwise
the linearization employed here becomes wrong.
"""
def __init__(self, value=0., error=0., *a, **t):
[docs]
self.error = abs(error)
super(Uncertain, self).__init__(*a, **t)
def __str__(self):
return "%g+-%g" % (self.value, self.error)
def __repr__(self):
return "Uncertain(%s, %s)" % (self.value, self.error)
def __float__(self):
return float(self.value)
[docs]
def assign(self, other):
if isinstance(other, Uncertain):
self.value = other.value
self.error = other.error
else:
self.value = other
self.error = 0.
def __abs__(self):
return Uncertain(abs(self.value), self.error)
def __add__(self, other):
if isinstance(other, Uncertain):
v = self.value + other.value
e = (self.error ** 2 + other.error ** 2) ** .5
return Uncertain(v, e)
else:
return Uncertain(self.value + other, self.error)
def __radd__(self, other):
return self + other # __add__
def __sub__(self, other):
return self + (-other) # other.__neg__ and __add__
def __rsub__(self, other):
return -self + other # __neg__ and __add__
def __mul__(self, other):
if isinstance(other, Uncertain):
v = self.value * other.value
e = ((self.error * other.value) ** 2 +
(other.error * self.value) ** 2) ** .5
return Uncertain(v, e)
else:
return Uncertain(self.value * other, self.error * other)
def __rmul__(self, other):
return self * other # __mul__
def __neg__(self):
return self * -1 # __mul__
def __pos__(self):
return self
def __round__(self, pos):
return round(self.value, pos)
def __truediv__(self, other):
return self * (1. / other)
def __rdiv__(self, other):
return (self / other) ** -1. # __pow__ and __div__
def __pow__(self, other):
if isinstance(other, Uncertain):
v = self.value ** other.value
e = ((self.error * other.value *
self.value ** (other.value - 1.0)) ** 2 +
(other.error * math.log(self.value) *
self.value ** other.value) ** 2
) ** .5
return Uncertain(v, e)
else:
return Uncertain(self.value ** other,
self.error * other * self.value ** (other - 1))
def __rpow__(self, other):
assert not isinstance(other, Uncertain)
# otherwise other.__pow__ would have been called
return Uncertain(other ** self.value,
self.error * math.log(other) * other ** self.value)
def __lt__(self, compare):
try:
return self.value < compare.value
except AttributeError:
return self.value < compare
def __gt__(self, compare):
try:
return self.value > compare.value
except AttributeError:
return self.value > compare
[docs]
def exp(self):
return math.e ** self
[docs]
def log(self):
return Uncertain(math.log(self.value), self.error / self.value)
[docs]
def max(self):
return self.value + self.error
[docs]
def min(self):
return self.value - self.error