"""Optimum-Path Forest standard definitions. """ import pickle import numpy as np import opfython.math.distance as d import opfython.stream.loader as loader import opfython.utils.exception as e import opfython.utils.logging as l from opfython.core import Subgraph logger = l.get_logger(__name__) class OPF: """A basic class to define all common OPF-related methods. References: J. P. Papa, A. X. Falcão and C. T. N. Suzuki. LibOPF: A library for the design of optimum-path forest classifiers (2015). """ def __init__(self, distance='log_squared_euclidean', pre_computed_distance=None): """Initialization method. Args: distance (str): An indicator of the distance metric to be used.
def test_get_logger(): logger = logging.get_logger(__name__) assert logger.name == 'test_logging' assert logger.hasHandlers() == True