Ubuntu
uncertainties package

uncertainties 3.1.7-1 source package in Ubuntu

Changelog

uncertainties (3.1.7-1) unstable; urgency=medium

  * Team upload.
  * Fix watchfile to detect new versions on github
  * Standards-Version: 4.6.2 (routine-update)
  * Build-Depends: s/dh-python/dh-sequence-python3/ (routine-update)
  * Rules-Requires-Root: no (routine-update)

 -- Picca Frédéric-Emmanuel <email address hidden>  Fri, 15 Dec 2023 14:36:00 +0100

Upload details

Uploaded by:
Federico Ceratto
Uploaded to:
Sid
Original maintainer:
Federico Ceratto
Architectures:
all
Section:
python
Urgency:
Medium Urgency

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Builds

Noble: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
uncertainties_3.1.7-1.dsc 2.4 KiB 7c72f0f38d06ee8b29ed6899b08275c8b53344abce6338b8d8ff330f9cc9d254
uncertainties_3.1.7.orig.tar.gz 147.1 KiB e3acf18300e1f2c598d98636394a02820301e2b799df9b0ffcf9c9335c7a67f3
uncertainties_3.1.7-1.debian.tar.xz 5.8 KiB 08c9d56fa23b0e7f942f995103a8e25b25bcbacde738debdf7b50a9e9e54b48c

Available diffs

No changes file available.

Binary packages built by this source

python-uncertainties-doc: Python3 module for calculations with uncertainties: documentation

 uncertainties is a Python3 module, which allows calculations such as
 .
   (0.2 +/- 0.01) * 2 = 0.4 +/- 0.02
 .
 to be performed transparently; much more complex mathematical expressions
 involving numbers with uncertainties can also be evaluated transparently.
 .
 Correlations between expressions are correctly taken into account; x-x is
 thus exactly zero, for instance. The uncertainties produced by this module
 are what is predicted by error propagation theory.
 .
 This package contains documentation for the python3-uncertainties package

python3-uncertainties: Python3 module for calculations with uncertainties

 uncertainties is a Python3 module, which allows calculations such as
 .
   (0.2 +/- 0.01) * 2 = 0.4 +/- 0.02
 .
 to be performed transparently; much more complex mathematical expressions
 involving numbers with uncertainties can also be evaluated transparently.
 .
 Correlations between expressions are correctly taken into account; x-x is
 thus exactly zero, for instance. The uncertainties produced by this module
 are what is predicted by error propagation theory.