"""
Tests oversamplers with a few samples.
"""

import logging

import pytest
import numpy as np

import smote_variants as sv

from smote_variants.datasets import load_some_min_some_maj

# disabling smote-variants logging

logger = logging.getLogger("smote_variants")
logger.setLevel(logging.CRITICAL)

dataset = load_some_min_some_maj()


@pytest.mark.parametrize("smote_class", sv.get_all_oversamplers())
def test_some_min_some_maj(smote_class):
    """
    Tests an oversampler with only a few samples.

    Args:
        smote_class (class): the oversampler class
    """
    X, y = smote_class().sample(dataset["data"], dataset["target"])

    assert np.unique(y).shape[0] == 2
    assert X.shape[0] > 0
