Simulated annealing is a computational algorithm for optimization. It mimics the physical process of thermal annealing in which a metal is heated and then slowly cooled to settle into a highly ordered crystal structure. For common metals, the lowest energy state is already known. But the method is useful for other problems where the best state is not known and exhaustively searching all possible states is impractical. The method is applied by modeling the problem as a physical system with structure, energy, and temperature. This Python module implements simulated annealing so that it can be easily applied to a variety of problems. An example program is include to perform simulated annealing of the traveling salesman problem.
JoomlaWatch allows you to watch your Web site visitors and bots in real-time from the administration menu, particularly their IP addresses, countries they come from, geographical location on a map, which pages they are viewing, and their browser and operating system. It creates daily and all-time stats from this information plus unique, pageload, and total hits statistics. Furthermore, you can block harmful IP addresses, see blocked attempts stats, evaluate the trend charts, and create goals based on many parameters. In the frontend, it can show the top countries, user, and visit information for certain periods of time.
Pdbsql provides three samba passdb backend modules: pdb_mysql, pdb_pgsql, and pdb_multi. pdb_mysql is a MySQL passdb backend. pdb_pgsql is a PostgreSQL passdb backend. pdb_multi is a backend which loads multiple passdb backends. These are provided because support for MySQL and PostGreSQL passdb backends has been removed from the Samba source tree, due to lack of an active maintainer.