Physics-Simulations / UncValue

Simple python class to evaluate the uncertainty for complex or very long calculations given the initial values together with its uncertainty.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

python codecov PyPI version Documentation Status

Uncertainty-Value

Simple python class to evaluate the uncertainty for complex or very long calculations given the initial values together with its uncertainty.

Installation

Easy instal using pip: pip install uncvalue

How-To

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.

Contributors

License

  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.
  You may obtain a copy of the License at

      http://www.apache.org/licenses/LICENSE-2.0

  Unless required by applicable law or agreed to in writing, software
  distributed under the License is distributed on an "AS IS" BASIS,
  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  See the License for the specific language governing permissions and
  limitations under the License.

About

Simple python class to evaluate the uncertainty for complex or very long calculations given the initial values together with its uncertainty.

License:Apache License 2.0


Languages

Language:Python 100.0%