"""Test Olivetti faces fetcher, if the data is available,
or if specifically requested via environment variable
(e.g. for CI jobs)."""

import numpy as np

from xlearn.datasets.tests.test_common import check_return_X_y
from xlearn.utils import Bunch
from xlearn.utils._testing import assert_array_equal


def test_olivetti_faces(fetch_olivetti_faces_fxt):
    data = fetch_olivetti_faces_fxt(shuffle=True, random_state=0)

    assert isinstance(data, Bunch)
    for expected_keys in ("data", "images", "target", "DESCR"):
        assert expected_keys in data.keys()

    assert data.data.shape == (400, 4096)
    assert data.images.shape == (400, 64, 64)
    assert data.target.shape == (400,)
    assert_array_equal(np.unique(np.sort(data.target)), np.arange(40))
    assert data.DESCR.startswith(".. _olivetti_faces_dataset:")

    # test the return_X_y option
    check_return_X_y(data, fetch_olivetti_faces_fxt)
