BUG: np.select function does not work with BooleanDtype
- [x] I have checked that this issue has not already been reported.

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

---

#### Code Sample

```python
import numpy as np
import pandas as pd

df = pd.DataFrame({"col1": list("ABBC"), "col2": list("ZZXY")}).astype("string")
conditions = [
    (df["col2"] == "Z") & (df["col1"] == "A"),
    (df["col2"] == "Z") & (df["col1"] == "B"),
    (df["col1"] == "B"),
]
print((df["col2"] == "Z").dtype) #BooleanDtype
choices = ['yellow', 'blue', 'purple']
df['color'] = np.select(conditions, choices, default='black')
# TypeError: invalid entry 0 in condlist: should be boolean ndarray
```

#### Problem description
When this string dataframe is cast to dtype "string", it seems subsequent columns created from it default to pandas built in types. For instance, now a boolean field created from one of these columns is of type `BooleanDtype`, pandas nullable boolean type.  
```python
print((df["col2"] == "Z").dtype) #BooleanDtype
```
However for some reason numpy is not seeing it as a boolean.

If all of the conditions are first cast to type `bool` then it works.
```python
conditions = [i.astype(bool) for i in conditions]
df['color'] = np.select(conditions, choices, default='black')
```

#### Expected Output
I would expect the `np.select` function to work, even with  `BooleanDtype` columns.

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

<details>

INSTALLED VERSIONS
------------------
commit           : 5f648bf1706dd75a9ca0d29f26eadfbb595fe52b
python           : 3.8.11.final.0
python-bits      : 64
OS               : Windows
OS-release       : 10
Version          : 10.0.19042
machine          : AMD64
processor        : Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder        : little
LC_ALL           : None
LANG             : None
LOCALE           : English_United States.1252

pandas           : 1.3.2
numpy            : 1.21.2
pytz             : 2021.1
dateutil         : 2.8.2
pip              : 21.0.1
setuptools       : 52.0.0.post20210125
Cython           : None
pytest           : None
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : 3.0.1
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : 7.26.0
pandas_datareader: None
bs4              : None
bottleneck       : None
fsspec           : None
fastparquet      : None
gcsfs            : None
matplotlib       : 3.4.3
numexpr          : None
odfpy            : None
openpyxl         : 3.0.7
pandas_gbq       : None
pyarrow          : None
pyxlsb           : None
s3fs             : None
scipy            : 1.7.1
sqlalchemy       : None
tables           : None
tabulate         : None
xarray           : None
xlrd             : None
xlwt             : None
numba            : None

</details>
