Source: python-simanneal Section: python Maintainer: Steffen Moeller Build-Depends: debhelper-compat (= 13), dh-sequence-python3, python3-all, python3-pytest , python3-setuptools, Testsuite: autopkgtest-pkg-pybuild Standards-Version: 4.7.4 Homepage: https://github.com/perrygeo/simanneal Vcs-Browser: https://salsa.debian.org/science-team/python-simanneal Vcs-Git: https://salsa.debian.org/science-team/python-simanneal.git Package: python3-simanneal Architecture: all Depends: ${python3:Depends}, ${misc:Depends}, Description: simulated annealing optimization library for Python 3 simanneal is a pure Python implementation of simulated annealing, a probabilistic technique for finding close-to-optimal solutions in large, finite search spaces. It is particularly useful for combinatorial optimization problems with complex objective functions. . The library provides an extensible Annealer base class with customizable state transitions, objective functions, cooling schedules, state copying, automatic schedule estimation, and progress reporting.