Corrigendum to “UTypes: A library for uncertain datatypes in Python” [SoftwareX, VOLUME 26, 101676, MAY 2024]
Carlos Javier Fernández Candel, Paula Muñoz, Javier Troya, Antonio Vallecillo · SoftwareX · 2024
The authors would like to include an additional statement in the acknowledgment section, as it is a requirement to access to the University funding. The statement “Partial funding for open access charge: Universidad de Málaga / CBUA” should be added at the end of the current acknowledgments of the paper. The authors would like to apologise for any inconvenience caused. UTypes: A library for uncertain datatypes in PythonSoftwareXVol. 26PreviewExisting 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. Full-Text PDF Open Access