2026-05-31T02:10:05Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/307952026-02-03T11:10:50Zcom_10630_2254col_10630_37953
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Fernández-Candel, Carlos Javier
author
Muñoz, Paula
author
Troya-Castilla, Javier
author
Vallecillo-Moreno, Antonio Jesús
2024-03-11T12:42:01Z
2024-03-11T12:42:01Z
2024-03-05
Carlos Javier Fernández-Candel, Paula Muñoz, Javier Troya, Antonio Vallecillo, UTypes: A library for uncertain datatypes in Python, SoftwareX, Volume 26, 2024, 101676, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2024.101676
https://hdl.handle.net/10630/30795
10.1016/j.softx.2024.101676
Existing Python uncertainty packages support the expression and propagation of uncertainty in numeric types, such as float or int. However, they do not cover the rest of the built-in types which can also be affected by uncertainty when representing physical systems. The Uncertain Datatypes (UTypes) library provides extensions of Python built-in datatypes bool, int, float, enum and str to seamlessly incorporate the data uncertainty coming from physical measurements or user estimations into Python programs, along with the set of operations defined for the values of these types. The library implements in a natural and efficient manner linear error propagation theory in Python and performs uncertainty calculations analytically.
eng
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Bases de datos
Informática
UTypes: a library for uncertain datatypes in Python
journal article
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URL
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