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Reproducible Example

from pandas.core.window.indexers import BaseIndexer
from typing import Union, Tuple, Optional

import numpy as np
import pandas as pd


class RollingFixedOffsetVariableWindowIndexer(BaseIndexer):

    def get_window_bounds(self, num_values: int = 0, min_periods: Optional[int] = None, center: Optional[bool] = None,
                          closed: Optional[str] = None) -> Tuple[np.ndarray, np.ndarray]:
        # Every hour
        start = np.arange(0, num_values, 60 * 60)
        # Every hour + day
        end = start + 60 * 60 * 24

        return start, end


ser = pd.Series(np.arange(100000), index=pd.date_range(start='2020', freq='1s', periods=100000))
idxr = RollingFixedOffsetVariableWindowIndexer(window_size=60 * 60 * 24)
out = ser.rolling(idxr, min_periods=10).mean()

Issue Description

(Maybe related to #43267 ? Couldn't tell.)

I'm trying to create a custom BaseIndexer for a .rolling operation. The extraction of the window is quick and efficient, yet when I attempt to perform various operations on it I get the seg-fault error:

Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)

I have created an MWE for this behavior using a fixed-indexer (that carries the same name). The original indexer was supposed to produce a rolling-operation with overlaps, so the above indexer is similar in the sense that it creates a 1-day windows 1-hour apart for a one-second index.

Expected Behavior

Hmmm... Not to have a seg-fault error?

Installed Versions

INSTALLED VERSIONS

commit : 945c9ed
python : 3.8.9.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.0-77-generic
Version : #86~18.04.1-Ubuntu SMP Fri Jun 18 01:23:22 UTC 2021
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8

pandas : 1.3.4
numpy : 1.18.5
pytz : 2018.3
dateutil : 2.8.1
pip : 21.1.3
setuptools : 57.4.0
Cython : None
pytest : 6.2.2
hypothesis : None
sphinx : 3.5.3
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : 0.999999999
pymysql : None
psycopg2 : None
jinja2 : 2.11.3
IPython : None
pandas_datareader: None
bs4 : 4.6.0
bottleneck : None
fsspec : 0.8.7
fastparquet : None
gcsfs : None
matplotlib : 3.1.3
numexpr : 2.7.3
odfpy : None
openpyxl : 3.0.7
pandas_gbq : None
pyarrow : None
pyxlsb : None
s3fs : None
scipy : 1.4.1
sqlalchemy : None
tables : 3.6.1
tabulate : 0.8.9
xarray : None
xlrd : 1.2.0
xlwt : None
numba : None
None

Process finished with exit code 139 (interrupted by signal 11: SIGSEGV)