Simple python class to evaluate the uncertainty for complex or very long calculations given the initial values together with its uncertainty.
Easy instal using pip: pip install uncvalue
The way it works is simple, first import the script as
from uncvalue import *
then initialise your Value
variables (numbers, lists, matrices...) as
pi = Value(3.14159, 0.00011) # number variable 3.14159 +/- 0.00011
A = np.array([pi, Value(2.718, 0.036), Value(1.61803398875, 29e-11)]) # numpy array with 3 elements
M = Value(np.random.rand(3,5), np.random.rand(3,5)*0.056) # 3x5 matrix
pi
is just a number variable with uncertaintyA
is a list of values, each one with each own uncertaintyM
is a 3x5 value matrix (not a matrix of values) where the uncertainty is separated from the value, so this class only works as a container for keeping them together but some operations will not work properly (like multiplication). To initialize the matrix of values correctly we should do it as the list (an example of this is inside the samples folder).
Perform any operation you want between Value(s):
- Binary operators:
+
,-
,*
,/
,**
- Unary operators (all with numpy):
abs
,exp
,log
,sqrt
,sin(h)
,cos(h)
,tan(h)
,arcsin(h)
,arccos(h)
,arctan(h)
- Comparison:
>=
,>
,=
,<
,<=
It's important that, for the unary operators, you use numpy
as your base class for math. Operations made with the built-in math
python library will result in terrible errors that for sure will end up destroying our and other universes.
For more examples take a look at test.py.
Copyright 2020 Physics-Simulations
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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