"""Test the covtype loader, if the data is available,
or if specifically requested via environment variable
(e.g. for CI jobs)."""
from functools import partial
import pytest
from sklearn.datasets.tests.test_common import check_return_X_y


def test_fetch(fetch_covtype_fxt):
    data1 = fetch_covtype_fxt(shuffle=True, random_state=42)
    data2 = fetch_covtype_fxt(shuffle=True, random_state=37)

    X1, X2 = data1["data"], data2["data"]
    assert (581012, 54) == X1.shape
    assert X1.shape == X2.shape

    assert X1.sum() == X2.sum()

    y1, y2 = data1["target"], data2["target"]
    assert (X1.shape[0],) == y1.shape
    assert (X1.shape[0],) == y2.shape

    descr_prefix = ".. _covtype_dataset:"
    assert data1.DESCR.startswith(descr_prefix)
    assert data2.DESCR.startswith(descr_prefix)

    # test return_X_y option
    fetch_func = partial(fetch_covtype_fxt)
    check_return_X_y(data1, fetch_func)


def test_fetch_asframe(fetch_covtype_fxt):
    pytest.importorskip("pandas")

    bunch = fetch_covtype_fxt(as_frame=True)
    assert hasattr(bunch, "frame")
    frame = bunch.frame
    assert frame.shape == (581012, 55)
    assert bunch.data.shape == (581012, 54)
    assert bunch.target.shape == (581012,)

    column_names = set(frame.columns)

    # enumerated names are added correctly
    assert set(f"Wilderness_Area_{i}" for i in range(4)) < column_names
    assert set(f"Soil_Type_{i}" for i in range(40)) < column_names


def test_pandas_dependency_message(fetch_covtype_fxt, hide_available_pandas):
    expected_msg = "fetch_covtype with as_frame=True requires pandas"
    with pytest.raises(ImportError, match=expected_msg):
        fetch_covtype_fxt(as_frame=True)