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from sklearn.utils.testing import assert_array_equal
from sklearn.utils.stats import rankdata
_cases = (
# values, method, expected
([100], 'max', [1.0]),
([100, 100, 100], 'max', [3.0, 3.0, 3.0]),
([100, 300, 200], 'max', [1.0, 3.0, 2.0]),
([100, 200, 300, 200], 'max', [1.0, 3.0, 4.0, 3.0]),
([100, 200, 300, 200, 100], 'max', [2.0, 4.0, 5.0, 4.0, 2.0]),
)
def test_cases():
def check_case(values, method, expected):
r = rankdata(values, method=method)
assert_array_equal(r, expected)
for values, method, expected in _cases:
yield check_case, values, method, expected
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