def test_load_chain():
config, ops = load_chain(load_operations('test/test01.json'))
data = load('test/demo_data_100x3.npy')
rows = [row for row in data]
ops = train_transforms(ops, rows)
data = apply_transforms(ops, rows)
default="127.0.0.1",
help="Host IP or domain for the interface; defaults to 127.0.0.1 (localhost).",
)
parser.add_argument(
"--port", dest="port", type=int, default=7199, help="Host port for the interface; defaults to 7199."
)
# parser.add_argument('-s', '--save', dest = 'save', action = 'store_true', help = 'Save the data to --data_out after transformation (--do). Also available through the interface.')
# todo: extra data transformations (comma-separated python import path)
args = parser.parse_args()
opsstr = raw = config = var_names = transformations = None # todo: remove
if exists(args.trans):
try:
opsstr = load_operations(args.trans)
except IOError:
stderr.write('transformation file "{0:s}" couldn\'\t be loaded\n'.format(args.trans))
exit(1)
try:
config, transformations = load_chain(opsstr)
except ValueError as err:
stderr.write('there is an error in transformation file "{0:s}" (it should be valid json)\n'.format(args.trans))
stderr.write("{0:s}\n".format(str(err)))
exit(2)
else:
stdout.write('transformation file "{0:s}" doesn\'t exist; using empty transformations\n'.format(args.trans))
config = {"input_vars": None}
transformations = OrderedDict()
if args.trans_out is None:
