BUG: segfault when using datetime.datetime.replace on Timestamp
- [x] I have checked that this issue has not already been reported.

This seems to be similar to much older bugs 14621 and 7825, but I can't see an open one,

- [x] I have confirmed this bug exists on the latest version of pandas.

Occurs with 1.2.4 which seems to be the current one I can get.

- [ ] (optional) I have confirmed this bug exists on the master branch of pandas.

Not done.

---

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#### Code Sample, a copy-pastable example

```python -i
>>> import pandas as pd
>>> import datetime
>>> datetime.datetime.replace(pd.Timestamp('2021-01-01'), tzinfo=None)
Segmentation fault

```

#### Problem description

Unexpected segmentation fault, which shouldn't occur with basic function usage.

#### Expected Output

It's not entirely clear whether this should work, but it shouldn't crash.

#### Output of ``pd.show_versions()``

<details>

INSTALLED VERSIONS
------------------
commit           : 2cb96529396d93b46abab7bbc73a208e708c642e
python           : 3.7.9.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.18362
machine          : AMD64
processor        : Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : None.None

pandas           : 1.2.4
numpy            : 1.19.1
pytz             : 2020.1
dateutil         : 2.8.1
pip              : 20.2.3
setuptools       : 50.3.0.post20201006
Cython           : None
pytest           : 6.2.2
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : 1.3.7
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : 2.8.6 (dt dec pq3 ext lo64)
jinja2           : 2.11.2
IPython          : 7.18.1
pandas_datareader: None
bs4              : 4.9.3
bottleneck       : None
fsspec           : 0.8.4
fastparquet      : 0.4.1
gcsfs            : None
matplotlib       : None
numexpr          : None
odfpy            : None
openpyxl         : 3.0.0
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.5.2
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : 1.2.0
xlwt             : None
numba            : 0.51.2

</details>

Also occurs on python 3.8.8.