In [1]: import pandas as pd

In [2]: s = pd.Series([1, 2, None], dtype="Int64")

In [3]: from sklearn.utils.validation import check_array

In [4]: check_array(s, ensure_2d=False)
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
Cell In [4], line 1
----> 1 check_array(s, ensure_2d=False)

File ~/Documents/packages/scikit-learn/sklearn/utils/validation.py:912, in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, estimator, input_name)
    906         raise ValueError(
    907             "Found array with dim %d. %s expected <= 2."
    908             % (array.ndim, estimator_name)
    909         )
    911     if force_all_finite:
--> 912         _assert_all_finite(
    913             array,
    914             input_name=input_name,
    915             estimator_name=estimator_name,
    916             allow_nan=force_all_finite == "allow-nan",
    917         )
    919 if ensure_min_samples > 0:
    920     n_samples = _num_samples(array)

File ~/Documents/packages/scikit-learn/sklearn/utils/validation.py:110, in _assert_all_finite(X, allow_nan, msg_dtype, estimator_name, input_name)
    108 # for object dtype data, we only check for NaNs (GH-13254)
    109 if X.dtype == np.dtype("object") and not allow_nan:
--> 110     if _object_dtype_isnan(X).any():
    111         raise ValueError("Input contains NaN")
    113 # We need only consider float arrays, hence can early return for all else.

AttributeError: 'bool' object has no attribute 'any'

In [7]: s.to_numpy() != s.to_numpy()
<ipython-input-7-e1263eaa78fa>:1: DeprecationWarning: elementwise comparison failed; this will raise an error in the future.
  s.to_numpy() != s.to_numpy()
Out[7]: True

In [5]: bool(pd.NA == pd.NA)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
Cell In [5], line 1
----> 1 bool(pd.NA == pd.NA)

File ~/mambaforge/envs/dev/lib/python3.10/site-packages/pandas/_libs/missing.pyx:382, in pandas._libs.missing.NAType.__bool__()

TypeError: boolean value of NA is ambiguous