Dataframe.query uses numexpr even when 'compute.use_numexpr' is False
#### Code Sample, a copy-pastable example if possible

```python
# Your code here
import pandas as pd
import io

content = io.StringIO('''
time,val
212.23, 32
''')

pd.set_option('compute.use_numexpr', False)
print("use numexpr? %d" % pd.get_option('compute.use_numexpr'))

df = pd.read_csv(
    content,
    sep=',',
    usecols=['time', 'val'],
    dtype= {'val': 'Int64'},
    # parse_dates=date_cols,
)
q = "val == 32"
# passing `engine="python"` fixes it
df_dest = df.query(q, )

```
throws with pandas 1.0
```
Traceback (most recent call last):
  File "test.py", line 21, in <module>
    df_dest = df.query(q, )
  File "/nix/store/0yyjswv58jk0fv1miyklmppvpd0p45sy-python3.7-pandas-1.0.1/lib/python3.7/sit
e-packages/pandas/core/frame.py", line 3231, in query
    res = self.eval(expr, **kwargs)
  File "/nix/store/0yyjswv58jk0fv1miyklmppvpd0p45sy-python3.7-pandas-1.0.1/lib/python3.7/sit
e-packages/pandas/core/frame.py", line 3346, in eval
    return _eval(expr, inplace=inplace, **kwargs)
  File "/nix/store/0yyjswv58jk0fv1miyklmppvpd0p45sy-python3.7-pandas-1.0.1/lib/python3.7/sit
e-packages/pandas/core/computation/eval.py", line 337, in eval
    ret = eng_inst.evaluate()
  File "/nix/store/0yyjswv58jk0fv1miyklmppvpd0p45sy-python3.7-pandas-1.0.1/lib/python3.7/sit
e-packages/pandas/core/computation/engines.py", line 73, in evaluate
    res = self._evaluate()
  File "/nix/store/0yyjswv58jk0fv1miyklmppvpd0p45sy-python3.7-pandas-1.0.1/lib/python3.7/sit
e-packages/pandas/core/computation/engines.py", line 114, in _evaluate
    return ne.evaluate(s, local_dict=scope)
  File "/nix/store/k6wr7w16q0aq9mfkf0w15wxlhx76sxqc-python3.7-numexpr-2.7.1/lib/python3.7/si
te-packages/numexpr/necompiler.py", line 822, in evaluate
    zip(names, arguments)]
  File "/nix/store/k6wr7w16q0aq9mfkf0w15wxlhx76sxqc-python3.7-numexpr-2.7.1/lib/python3.7/si
te-packages/numexpr/necompiler.py", line 821, in <listcomp>
    signature = [(name, getType(arg)) for (name, arg) in
  File "/nix/store/k6wr7w16q0aq9mfkf0w15wxlhx76sxqc-python3.7-numexpr-2.7.1/lib/python3.7/si
te-packages/numexpr/necompiler.py", line 703, in getType
    raise ValueError("unknown type %s" % a.dtype.name)
ValueError: unknown type object
```

#### Problem description

Dataframe.query fails when using UInt* dtypes see https://github.com/pandas-dev/pandas/issues/25369#issuecomment-594905994.
My first idea to solve this was to disable numexpr but this isn't enough, one has to pass  `engine="python"` to forcefully disable numexpr when calling `query`

