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 uncertainty
• A is a list of values, each one with each own uncertainty
• M 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.

• Adrià Labay Mora
• Àlex Giménez Romero

  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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