import time
from multiprocessing import Process, Pipe
from rq.timeouts import JobTimeoutException
from .util import get_args
from pyvotune.log import logger
log = logger()
def rq_runner(candidates, args):
log.debug("Runner process called")
timeout_val = args.setdefault('rq_timeout_fitness', 0)
try:
rq_timeout = args['rq_timeout']
pickled_args = get_args(args)
parent_conn, child_conn = Pipe()
proc = Process(
target=_child_runner, args=(child_conn, candidates, get_args(args)))
try:
proc.start()
res = parent_conn.poll(rq_timeout)
import inspyred
from pyvotune.log import logger
log = logger()
def stats_observer(population, num_generations, num_evaluations, args):
"""Print the statistics of the evolutionary computation to the screen.
This function displays the statistics of the evolutionary computation
to the screen. The output includes the generation number, the current
number of evaluations, the maximum fitness, the minimum fitness,
the average fitness, and the standard deviation.
.. note::
This function makes use of the ``inspyred.ec.analysis.fitness_statistics``
function, so it is subject to the same requirements.
.. Arguments:
population -- the population of Individuals
num_generations -- the number of elapsed generations
num_evaluations -- the number of candidate solution evaluations
args -- a dictionary of keyword arguments
"""
stats = inspyred.ec.analysis.fitness_statistics(population)
worst_fit = '{0:>10}'.format(stats['worst'])[:10]
best_fit = '{0:>10}'.format(stats['best'])[:10]
avg_fit = '{0:>10}'.format(stats['mean'])[:10]
med_fit = '{0:>10}'.format(stats['median'])[:10]