Wrong contents when initializinga pyarrow.Table from boolean DataFrame

When initializing a Table from a boolean pandas.DataFrame that is not in Fortran order, the contents of the resulting Table is different from the contents of the DataFrame.

Sample:

import pandas as pd
import pyarrow as pa
import numpy as np
mask = np.full((3,3), False)
mask[:,1] = True
df = pd.DataFrame(mask)
print(df)
print(pa.table(df).to_pandas()) 

The output:

       0     1      2
0  False  True  False
1  False  True  False
2  False  True  False
       0      1      2
0  False   True  False
1  False  False  False
2  False  False  False

I.e., column 1 is different before and after roundtripping through pa.Table.

If I add order='F' to the np.full invocation, the result is as expected. Also, the problem seems to disappear if I use dtype=int.