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"""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, global_random_seed):
data1 = fetch_covtype_fxt(shuffle=True, random_state=global_random_seed)
data2 = fetch_covtype_fxt(shuffle=True, random_state=global_random_seed + 1)
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)
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