Package gmisclib :: Module mcmc_pypar

Module mcmc_pypar

This is a helper module to make use of mcmc.py and mcmc_big.py. It allows you to conveniently run a Monte-Carlo simulation of any kind until it converges (stepper.run_to_bottom) or until it has explored a large chunk of parameter space (stepper.run_to_ergodic).

It also helps you with logging the process.

Classes
	stepper

Functions

Reduce(x, root)

source code

precompute_logp(lop)
Does a parallel evaluation of logp for all items in lop.

source code

is_root()

source code

size()

source code

test_opt()

source code

Imports: sys, mpi, operator, random, die, Num, mcmc, MCH, TooManyLoops, warnevery, test, logger_template