def run(argv=None):
# Initialize
console = Console()
console.init()
programs = get_settings().get_programs()
parser = create_parser(programs)
# Parse arguments
(values, args) = parser.parse_args(argv)
# Check inputs
outputdir = values.outputdir
if not os.path.exists(outputdir):
console.print_error("The specified output directory (%s) does not exist" % outputdir)
workdir = values.workdir
if workdir is not None and not os.path.exists(workdir):
console.print_error("The specified work directory (%s) does not exist" % workdir)
if values.verbose:
logging.getLogger().setLevel(logging.DEBUG)
quiet = values.quiet
nbprocesses = values.nbprocesses
if nbprocesses <= 0:
parser.error("Number of processes must be greater than 0.")
overwrite = not values.skip
max_iterations = values.max_iterations
if max_iterations < 0:
raise ValueError, 'Maximum number of iterations must be greater or equal to 0'
convergence_limit = values.convergence_limit
if convergence_limit <= 0.0:
raise ValueError, 'Convergence limit must be greater than 0.0'
if values.linear:
iterator_class = SimpleIterator
elif values.pouchou1991:
iterator_class = Pouchou1991Iterator
elif values.wegstein1958:
iterator_class = Wegstein1958Iterator
else:
iterator_class = Heinrich1972Iterator
if values.kratio:
convergor_class = KRatioConvergor
else:
convergor_class = CompositionConvergor
if values.fluorescence:
calculator_class = FluorescenceCalculator
else:
calculator_class = SimpleCalculator
aliases = map(attrgetter('alias'), programs)
selected_programs = [alias for alias in aliases if getattr(values, alias)]
if not selected_programs:
console.print_error("Please select one Monte Carlo program")
if len(selected_programs) > 1:
console.print_error("Please select only one Monte Carlo program")
selected_program = selected_programs[0]
workers = dict(zip(aliases, map(attrgetter('worker'), programs)))
worker_class = workers[selected_program]
measurements = []
try:
load_measurements(args, measurements)
except Exception as ex:
console.print_error(str(ex))
if not measurements:
console.print_error("Please specify a measurement file")
# Setup
runner = Runner(worker_class, iterator_class, convergor_class, calculator_class,
outputdir, workdir,
overwrite, max_iterations, nbprocesses,
limit=convergence_limit)
progressbar = ProgressBar(console, len(measurements))
if not quiet: progressbar.start()
runner.start()
for measurement in measurements:
runner.put(measurement)
try:
while runner.is_alive():
counter, progress, status = runner.report()
if not quiet: progressbar.update(counter, progress, status)
time.sleep(1)
except Exception as ex:
console.print_error('%s - %s' % (ex.__class__.__name__, str(ex)))
runner.stop()
if not quiet: progressbar.close()
# Clean up
console.close()
def run(argv=None):
# Initialize
console = Console()
console.init()
programs = get_settings().get_programs()
parser = _create_parser(programs)
# Parse arguments
(values, args) = parser.parse_args(argv)
# Check inputs
outputdir = values.outputdir
if not os.path.exists(outputdir):
console.print_error("The specified output directory (%s) does not exist" % outputdir)
workdir = values.workdir
if workdir is not None and not os.path.exists(workdir):
console.print_error("The specified work directory (%s) does not exist" % workdir)
if values.verbose:
logging.getLogger().setLevel(logging.DEBUG)
quiet = values.quiet
nbprocesses = values.nbprocesses
if nbprocesses <= 0:
parser.error("Number of processes must be greater than 0.")
overwrite = not values.skip
aliases = dict(zip(map(attrgetter('alias'), programs), programs))
selected_aliases = [alias for alias in aliases if getattr(values, alias)]
if not selected_aliases:
console.print_error("Please select one Monte Carlo program")
selected_programs = list(map(aliases.get, selected_aliases))
list_options = []
try:
_load(args, list_options)
except Exception as ex:
console.print_error(str(ex))
if not list_options:
console.print_error("Please specify at least one options file")
# Setup
runner = LocalRunner(outputdir, workdir, overwrite, nbprocesses)
progressbar = ProgressBar(console)
if not quiet: progressbar.start()
# Start simulation
with runner:
for options in list_options:
options.programs.update(selected_programs)
runner.put(options)
try:
while runner.is_alive() and not runner.is_finished():
if not quiet: progressbar.update(runner.progress, runner.status)
time.sleep(1)
except Exception as ex:
console.print_exception(ex)
runner.close()
if not quiet: progressbar.close()
# Clean up
console.close()
def run(argv=None):
# Initialize
console = Console()
console.init()
console.print_message("Configuration of pyMonteCarlo")
console.print_line()
# Find settings.cfg
settings = get_settings()
# Programs
programs = []
for program_alias in settings.get_available_program_aliases():
default = program_alias in settings.get_program_aliases()
answer = \
console.prompt_boolean("Do you want to setup %s?" % program_alias, default)
if answer:
cli = settings.get_program_cli(program_alias)
try:
pass
except Exception as ex:
console.print_exception(ex)
return
cli.configure(console, settings)
programs.append(program_alias)
else:
if program_alias in settings:
delattr(settings, program_alias)
console.print_line()
settings.pymontecarlo.programs = ','.join(programs)
# Save
settings.write()
console.print_success("Settings saved")
# Finalize
console.close()
def run(argv=None):
# Initialise programs
get_settings().get_programs()
# Initialise console
console = Console()
console.init()
# Create parser
usage = "%prog [options] [OPTION_FILE.xml or RESULTS_FILE.zip or RESULTS_FILE.h5 ...]"
description = "pyMonteCarlo update tool. This script updates old version " + \
"of options or results file to the newer one."
epilog = "For more information, see http://pymontecarlo.bitbucket.org"
parser = OptionParser(usage=usage, description=description, epilog=epilog)
parser.add_option('-v',
'--verbose',
dest='verbose',
default=False,
action='store_true',
help='Debug mode')
# Parse arguments
(values, args) = parser.parse_args(argv)
if values.verbose:
logging.getLogger().setLevel(logging.DEBUG)
if not args:
console.print_error('Please specify at least one file')
for filepath in args:
if not os.path.exists(filepath):
console.print_error('File %s does not exists' % filepath)
ext = os.path.splitext(filepath)[1]
if ext == '.xml':
console.print_info("Updating options %s" % filepath)
filepath = OptionsUpdater().update(filepath)
console.print_success("Successfully updated %s" % filepath)
elif ext == '.zip' or ext == '.h5':
console.print_info("Updating results %s" % filepath)
filepath = ResultsUpdater().update(filepath)
console.print_success("Successfully results %s" % filepath)
else:
console.print_error('Unknown extension %s' % ext)
console.close()
def run(argv=None):
# Initialise programs
get_settings().get_programs()
# Initialise console
console = Console()
console.init()
# Create parser
usage = "%prog [options] [OPTION_FILE.xml or RESULTS_FILE.zip or RESULTS_FILE.h5 ...]"
description = "pyMonteCarlo update tool. This script updates old version " + \
"of options or results file to the newer one."
epilog = "For more information, see http://pymontecarlo.bitbucket.org"
parser = OptionParser(usage=usage, description=description, epilog=epilog)
parser.add_option('-v', '--verbose', dest='verbose', default=False,
action='store_true', help='Debug mode')
# Parse arguments
(values, args) = parser.parse_args(argv)
if values.verbose:
logging.getLogger().setLevel(logging.DEBUG)
if not args:
console.print_error('Please specify at least one file')
for filepath in args:
if not os.path.exists(filepath):
console.print_error('File %s does not exists' % filepath)
ext = os.path.splitext(filepath)[1]
if ext == '.xml':
console.print_info("Updating options %s" % filepath)
filepath = OptionsUpdater().update(filepath)
console.print_success("Successfully updated %s" % filepath)
elif ext == '.zip' or ext == '.h5':
console.print_info("Updating results %s" % filepath)
filepath = ResultsUpdater().update(filepath)
console.print_success("Successfully results %s" % filepath)
else:
console.print_error('Unknown extension %s' % ext)
console.close()
def run(argv=None):
# Initialize
console = Console()
console.init()
programs = get_settings().get_programs()
parser = _create_parser(programs)
# Parse arguments
(values, args) = parser.parse_args(argv)
# Check inputs
outputdir = values.outputdir
if not os.path.exists(outputdir):
console.print_error(
"The specified output directory (%s) does not exist" % outputdir)
workdir = values.workdir
if workdir is not None and not os.path.exists(workdir):
console.print_error(
"The specified work directory (%s) does not exist" % workdir)
if values.verbose:
logging.getLogger().setLevel(logging.DEBUG)
quiet = values.quiet
nbprocesses = values.nbprocesses
if nbprocesses <= 0:
parser.error("Number of processes must be greater than 0.")
overwrite = not values.skip
aliases = dict(zip(map(attrgetter('alias'), programs), programs))
selected_aliases = [alias for alias in aliases if getattr(values, alias)]
if not selected_aliases:
console.print_error("Please select one Monte Carlo program")
selected_programs = list(map(aliases.get, selected_aliases))
list_options = []
try:
_load(args, list_options)
except Exception as ex:
console.print_error(str(ex))
if not list_options:
console.print_error("Please specify at least one options file")
# Setup
runner = LocalRunner(outputdir, workdir, overwrite, nbprocesses)
progressbar = ProgressBar(console)
if not quiet: progressbar.start()
# Start simulation
with runner:
for options in list_options:
options.programs.update(selected_programs)
runner.put(options)
try:
while runner.is_alive() and not runner.is_finished():
if not quiet:
progressbar.update(runner.progress, runner.status)
time.sleep(1)
except Exception as ex:
console.print_exception(ex)
runner.close()
if not quiet: progressbar.close()
# Clean up
console.close()