def narps():
basedir = '/tmp/data'
assert os.path.exists(basedir)
narps = Narps(basedir)
narps.load_data()
narps.metadata = pandas.read_csv(
os.path.join(narps.dirs.dirs['metadata'], 'all_metadata.csv'))
return (narps)
print('info.json no present - data downloading will be disabled')
# set up simulation if specified
if args.simulate:
print('using simulated data')
# load main class from real analysis
narps_orig = Narps(basedir, overwrite=False)
# create simulated data
# setup main class from original data
narps = Narps(basedir)
narps.load_data()
# Load full metadata and put into narps structure
narps.metadata = pandas.read_csv(
os.path.join(narps.dirs.dirs['metadata'], 'all_metadata.csv'))
basedir = setup_simulated_data(narps, verbose=False)
make_orig_image_sets(narps,
basedir,
verbose=True,
n_teams=32,
n_flip_teams=6,
n_noise_teams=6,
n_highvar_teams=0,
testing=False)
# doublecheck basedir name
assert basedir.find('_simulated') > -1