def main(args=None):
# The console script created by setuptools takes the cwd off the path.
sys.path.insert(0, os.getcwd())
scheme = Schema({'--debug': bool,
'--delim': str,
'--demo': bool,
'--help': bool,
'--float': Or(None, str),
'--from': Or(None, Use(lambda x: list(map(int, x.split(','))))),
'--nan': Or(None, str),
'--next': Or(None, str),
'--no-index-label': bool,
'--not-finished': bool,
'-o': Or(None, str),
'--skip': Or(None, Use(lambda x: x.split(','))),
'--skip-parents': bool,
'--version': bool,
'<data-file>': Or(None, str),
'<exp-file>': Or(lambda x: x is None, os.path.exists, error='Invalid <exp-file>'),
'<level>': [str],
'<n>': [And(Use(int), lambda n: n > 0)],
'export': bool,
'resume': bool,
'run': bool,
})
options = scheme.validate(docopt(__doc__, argv=args, version=__version__))
if options['--debug']:
logging.basicConfig(level=logging.DEBUG)
if options['run'] or options['resume']:
exp = Experiment.load(options['<exp-file>'])
kwargs = {'demo': options['--demo'],
'parent_callbacks': not options['--skip-parents'],
'resume': options['resume'],
'session_options': options['-o'],
'from_section': options['--from'],
}
if options['--next']:
kwargs.update(section_obj=exp.find_first_not_run(
options['--next'], by_started=not options['--not-finished']))
elif options['resume'] and not options['<n>']:
kwargs.update(section_obj=exp.find_first_partially_run(options['<level>'][0]))
else:
kwargs.update(zip(options['<level>'], options['<n>']))
run_experiment_section(exp, **kwargs)
elif options['export']:
export_experiment_data(options['<exp-file>'], options['<data-file>'],
float_format=options['--float'],
skip_columns=options['--skip'],
index_label=False if options['--no-index-label'] else None,
na_rep=options['--nan'],
sep=options['--delim'])
def main(args=None):
# The console script created by setuptools takes the cwd off the path.
sys.path.insert(0, os.getcwd())
scheme = Schema({
'--debug':
bool,
'--delim':
str,
'--demo':
bool,
'--help':
bool,
'--float':
Or(None, str),
'--from':
Or(None, Use(lambda x: list(map(int, x.split(','))))),
'--nan':
Or(None, str),
'--next':
Or(None, str),
'--no-index-label':
bool,
'--not-finished':
bool,
'-o':
Or(None, str),
'--skip':
Or(None, Use(lambda x: x.split(','))),
'--skip-parents':
bool,
'--version':
bool,
'<data-file>':
Or(None, str),
'<exp-file>':
Or(lambda x: x is None, os.path.exists, error='Invalid <exp-file>'),
'<level>': [str],
'<n>': [And(Use(int), lambda n: n > 0)],
'export':
bool,
'resume':
bool,
'run':
bool,
})
options = scheme.validate(docopt(__doc__, argv=args, version=__version__))
if options['--debug']:
logging.basicConfig(level=logging.DEBUG)
if options['run'] or options['resume']:
exp = Experiment.load(options['<exp-file>'])
kwargs = {
'demo': options['--demo'],
'parent_callbacks': not options['--skip-parents'],
'resume': options['resume'],
'session_options': options['-o'],
'from_section': options['--from'],
}
if options['--next']:
kwargs.update(section_obj=exp.find_first_not_run(
options['--next'], by_started=not options['--not-finished']))
elif options['resume'] and not options['<n>']:
kwargs.update(section_obj=exp.find_first_partially_run(
options['<level>'][0]))
else:
kwargs.update(zip(options['<level>'], options['<n>']))
run_experiment_section(exp, **kwargs)
elif options['export']:
export_experiment_data(
options['<exp-file>'],
options['<data-file>'],
float_format=options['--float'],
skip_columns=options['--skip'],
index_label=False if options['--no-index-label'] else None,
na_rep=options['--nan'],
sep=options['--delim'])
if opts['--debug']:
logging.basicConfig(level=logging.DEBUG)
logging.debug('DEMO MODE = {}.'.format(opts['--demo']))
if opts['new']:
settings = {'participant': dict(n=int(opts['--participants'])),
'block': dict(sort='random', ivs={'perception': ['haptic', 'visual']}),
'trial': dict(n=int(opts['--trials']), sort='random', ivs={'angle': list(range(1, 8))})}
levels = ('participant', 'block', 'trial')
RampExperiment(settings, levels=levels, experiment_file=opts['<experiment_file>'])
elif opts['run']:
experiment_file = opts['<experiment_file>']
by_started = not opts['--finished']
section_dict = {level: int(n) for level, n in zip(opts['<level>'], opts['<n>'])}
experiment = RampExperiment.load_experiment(experiment_file)
if section_dict:
# If section not specified, could be overwriting data
experiment.save(experiment_file + datetime.now().strftime('.%m-%d-%H-%M-backup'))
section = experiment.find_section(**section_dict)
else:
section = experiment.find_first_not_run('participant', by_started=by_started)
exp.run_experiment_section(experiment, demo=opts['--demo'], section=section)
experiment.save(experiment_file)
elif opts['export']:
exp.export_experiment_data(opts['<experiment_file>'], opts['<data_file>'])