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import numpy as np
import pytest
from pandas._libs import lib
import pandas.util._test_decorators as td
import pandas as pd
import pandas._testing as tm
def assert_block_lengths(x):
assert len(x) == len(x._mgr.blocks[0].mgr_locs)
return 0
def cumsum_max(x):
x.cumsum().max()
return 0
@pytest.mark.parametrize(
"func",
[
cumsum_max,
pytest.param(assert_block_lengths, marks=td.skip_array_manager_invalid_test),
],
)
def test_mgr_locs_updated(func):
# https://github.com/pandas-dev/pandas/issues/31802
# Some operations may require creating new blocks, which requires
# valid mgr_locs
df = pd.DataFrame({"A": ["a", "a", "a"], "B": ["a", "b", "b"], "C": [1, 1, 1]})
result = df.groupby(["A", "B"]).agg(func)
expected = pd.DataFrame(
{"C": [0, 0]},
index=pd.MultiIndex.from_product([["a"], ["a", "b"]], names=["A", "B"]),
)
tm.assert_frame_equal(result, expected)
@pytest.mark.parametrize(
"binner,closed,expected",
[
(
np.array([0, 3, 6, 9], dtype=np.int64),
"left",
np.array([2, 5, 6], dtype=np.int64),
),
(
np.array([0, 3, 6, 9], dtype=np.int64),
"right",
np.array([3, 6, 6], dtype=np.int64),
),
(np.array([0, 3, 6], dtype=np.int64), "left", np.array([2, 5], dtype=np.int64)),
(
np.array([0, 3, 6], dtype=np.int64),
"right",
np.array([3, 6], dtype=np.int64),
),
],
)
def test_generate_bins(binner, closed, expected):
values = np.array([1, 2, 3, 4, 5, 6], dtype=np.int64)
result = lib.generate_bins_dt64(values, binner, closed=closed)
tm.assert_numpy_array_equal(result, expected)