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p.cpu_affinity(all_cpus)
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# Set up logging
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root_logger = logging.getLogger()
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root_logger.setLevel(logging.DEBUG)
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form = logging.Formatter("[%(levelname)s/%(processName)s] %(asctime)s %(message)s")
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# Handler for logging to stderr
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sh = logging.StreamHandler(stream=sys.stdout)
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sh.setLevel(logging.WARN) # set level here
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# sh.addFilter(ProcessFilter()) # filter to show only logs from manager
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sh.setFormatter(form)
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root_logger.addHandler(sh)
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# Handler for logging to file
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util.move_make_file(constants.LOGFILE)
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fh = logging.handlers.RotatingFileHandler(constants.LOGFILE, maxBytes=512*1024*1024)
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fh.setLevel(logging.DEBUG)
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fh.setFormatter(form)
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root_logger.addHandler(fh)
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# Make output dir
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util.move_make(exp['output_dir'])
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# Make score dir and learning curve
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if exp['score_dir'] is not None:
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util.move_make(exp['score_dir'])
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with open(os.path.join(exp['score_dir'],
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'learning_curve.csv'), 'w') as score_file:
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score_file.write('Time,Score\n')
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# Record start time
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open(os.path.join(exp['output_dir'], exp['basename'] + '.firstpost'), 'wb').close()
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# Plotting?
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if plot_override is not None:
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exp['plot'] = plot_override
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# Start manager
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mgr = FixedLearnersStackingManager(exp['input_dir'], exp['output_dir'], exp['basename'],
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exp['time_budget'],
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compute_quantum=exp['compute_quantum'], plot=exp['plot'],
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overhead_memory=constants.OVERHEAD,
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cgroup_soft_limit=constants.CGROUP_SOFT_LIMIT,
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cgroup_hard_limit=constants.CGROUP_HARD_LIMIT,
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exp=exp)
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if separate_process:
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# Create process
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p = Process(target=agent.start_communication, kwargs=dict(agent=mgr))
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p.name = 'manager'
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p.start()
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print('\nPress enter to terminate at any time.\n')
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while True:
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if not p.is_alive():
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break
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# Wait for one second to see if any keyboard input
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i, o, e = select.select([sys.stdin], [], [], 1)
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if i:
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print('\n\nTerminating')
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try:
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ps = psutil.Process(pid=p.pid)
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ps.send_signal(signal.SIGTERM)
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p.join(timeout=5)
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if p.is_alive():
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print("Didn't respond to SIGTERM")
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util.murder_family(pid=p.pid, killall=True, sig=signal.SIGKILL)
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except psutil.NoSuchProcess:
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pass # already dead
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break
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else:
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mgr.communicate()
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def exp_param_defaults(exp_params):
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"""Sets all missing parameters to their default values"""
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defaults = dict(subset_algos=False,
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error_metric=None,
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compute_quantum_fixed=False,
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score_dir=None,
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slowdown_factor=1,
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plot=False,
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movie=False,
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use_db=False,
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strategy='stack-meta',
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super_fast_subset=1000,
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super_fast_timeout=np.inf,
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one_shot_timeout=0.333,
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anytime_timeout=1,
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use_data_subsets=True,
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super_fast_learners='''[
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('LR-100-subset', CrossValidationAgent, dict(learner=LogisticRegression,
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learner_kwargs=dict(C=100),
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agent=OneShotLearnerAgent,
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agent_kwargs=dict(),
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