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BUG: drop_duplicates raises unexpected error for bool[pyarrow] with null value #54667

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@rohanjain101

Description

@rohanjain101

Pandas version checks

  • I have checked that this issue has not already been reported.

  • I have confirmed this bug exists on the latest version of pandas.

  • I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

>>> dd = pd.DataFrame({"A": pd.Series([True, False, None], dtype="bool[pyarrow]")})
>>> dd.drop_duplicates()
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "E:\pd_dev_0814\Lib\site-packages\pandas\core\frame.py", line 6568, in drop_duplicates
    result = self[-self.duplicated(subset, keep=keep)]
                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\pd_dev_0814\Lib\site-packages\pandas\core\frame.py", line 6704, in duplicated
    result = self[subset[0]].duplicated(keep)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\pd_dev_0814\Lib\site-packages\pandas\core\series.py", line 2484, in duplicated
    res = self._duplicated(keep=keep)
          ^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\pd_dev_0814\Lib\site-packages\pandas\core\base.py", line 1368, in _duplicated
    return algorithms.duplicated(self._values, keep=keep)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "E:\pd_dev_0814\Lib\site-packages\pandas\core\algorithms.py", line 1003, in duplicated
    values = _ensure_data(values)
             ^^^^^^^^^^^^^^^^^^^^
  File "E:\pd_dev_0814\Lib\site-packages\pandas\core\algorithms.py", line 155, in _ensure_data
    return np.asarray(values).astype("uint8", copy=False)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NAType'
>>>

Issue Description

The error is not expected, the call to drop_duplicates should succeed.

Expected Behavior

I expect this example to succeed. If the null value is removed, the call succeeds.

>>> dd = pd.DataFrame({"A": pd.Series([True, False], dtype="bool[pyarrow]")})
>>> dd.drop_duplicates()
       A
0   True
1  False
>>>

Installed Versions

INSTALLED VERSIONS

commit : 6e194cf
python : 3.11.2.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : Intel64 Family 6 Model 85 Stepping 7, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : English_United States.1252

pandas : 2.1.0rc0
numpy : 1.25.2
pytz : 2023.3
dateutil : 2.8.2
setuptools : 68.0.0
pip : 23.2.1
Cython : None
pytest : 7.0.1
hypothesis : None
sphinx : 4.2.0
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.14.0
pandas_datareader : None
bs4 : 4.12.2
bottleneck : None
brotli : None
dataframe-api-compat: None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 12.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : 0.8.9
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None

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    Arrowpyarrow functionalityBugduplicatedduplicated, drop_duplicates

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