Description
Pandas version checks
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I have checked that this issue has not already been reported.
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
pd.Timestamp('10 june 3000')
>>>
Timestamp('3000-06-10 00:00:00')
pd.Timestamp.min, pd.Timestamp.max, pd.Timestamp.resolution
>>>
(Timestamp('1677-09-21 00:12:43.145224193'),
Timestamp('2262-04-11 23:47:16.854775807'),
Timedelta('0 days 00:00:00.000000001'))Issue Description
A Timestamp object is supposed to raise an OutOfBoundsDatetime when constructed with a date outside of [pd.Timestamp.min, pd.Timestamp.max].
I have this exception on pandas 1.5.3, but no more on pandas 2.0.0rc1
The documentation still specifies that OutOfBoundsDatetime must be raised
https://pandas.pydata.org/docs/dev/user_guide/timeseries.html#timestamp-limitations
Expected Behavior
raise an OutOfBoundsDatetime exception
Installed Versions
INSTALLED VERSIONS
commit : c2a7f1a
python : 3.11.0.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19044
machine : AMD64
processor : Intel64 Family 6 Model 140 Stepping 1, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : fr_FR.cp1252
pandas : 2.0.0rc1
numpy : 1.23.5
pytz : 2022.7
dateutil : 2.8.2
setuptools : 65.6.3
pip : 23.0.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.2
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.10.0
pandas_datareader: None
bs4 : 4.11.1
bottleneck : 1.3.5
brotli :
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.7.1
numba : None
numexpr : 2.8.4
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : None
qtpy : None
pyqt5 : None