QuaPy/quapy/__init__.py

from . import data
from .data import datasets
from . import functional
from . import method
from . import error
from . import evaluation
from method.aggregative import isaggregative, isprobabilistic


environ = {
    'SAMPLE_SIZE': None,
    'UNK_TOKEN': '[UNK]',
    'UNK_INDEX': 0,
    'PAD_TOKEN': '[PAD]',
    'PAD_INDEX': 1,
}


def isbinary(x):
    return data.isbinary(x) or method.aggregative.isbinary(x)