BUG: AttributeError: 'bool' object has no attribute 'to_numpy' in "mask_missing" method of core/missing.py

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Reproducible Example

import pandas
import numpy
from qpython.qcollection import qlist

res = pandas.Series(data=qlist([True, True, False, False], qtype=1, adjust_dtype=False)).replace(False, numpy.NaN)

Issue Description

new_mask = arr == x

this expected to get an array-like object with bool elements, like [False, False, True, ...] , but when arr being an special array-like object, like the qlist object in example , the expression returns a single False, which is a bool object, thus we’ll get the exception shown above

Expected Behavior

returns an array-like object instead of a bool object

Installed Versions

1.4.1

[simonjayhawkins]

FYI this is not only related to QList.

Thanks @bcmyguest1 for this example.

It does raise a warning FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison, so I guess this issue will resolve itself in a future pandas.

However, this example did work in pandas 1.3.5, so labelling as regression pending further investigation.

import pandas as pd

# case 1
df = pd.DataFrame({"d": [pd.NA]})
print(df.replace("", pd.NA))

      d
0  <NA>

Note: the FutureWarning was also given in pandas 1.3.5, but I think that it should probably have been suppressed.

[simonjayhawkins]

removing milestone, xref https://github.com/pandas-dev/pandas/issues/47485#issuecomment-1231876960