def test_duplicated_first(self, dtype, writable):
N = 100
values = np.repeat(np.arange(N).astype(dtype), 5)
values.flags.writeable = writable
result = ht.duplicated(values)
expected = np.ones_like(values, dtype=np.bool_)
expected[::5] = False
tm.assert_numpy_array_equal(result, expected)
def test_duplicated_large(keep):
# GH 9125
n, k = 200, 5000
levels = [np.arange(n), tm.makeStringIndex(n), 1000 + np.arange(n)]
codes = [np.random.choice(n, k * n) for lev in levels]
mi = MultiIndex(levels=levels, codes=codes)
result = mi.duplicated(keep=keep)
expected = hashtable.duplicated(mi.values, keep=keep)
tm.assert_numpy_array_equal(result, expected)
def test_duplicated_first(self, dtype):
values = np.array([np.nan, np.nan, np.nan], dtype=dtype)
result = ht.duplicated(values)
expected = np.array([False, True, True])
tm.assert_numpy_array_equal(result, expected)
