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<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE pkgmetadata SYSTEM "https://www.gentoo.org/dtd/metadata.dtd">
<pkgmetadata>
  <maintainer type="project">
    <email>sci@gentoo.org</email>
    <name>Gentoo Science Project</name>
  </maintainer>
  <maintainer type="project">
    <email>python@gentoo.org</email>
    <name>Python</name>
  </maintainer>
  <longdescription lang="en">
 uncertainties is a Python 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.    
  </longdescription>
  <upstream>
    <remote-id type="github">lmfit/uncertainties</remote-id>
    <remote-id type="pypi">uncertainties</remote-id>
  </upstream>
</pkgmetadata>