BUG: test_equals_various failing locally with incorrect name
### 

- [X] I have checked that this issue has not already been reported.

- [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas.

- [X] I have confirmed this bug exists on the master branch of pandas.


### Reproducible Example

```python
pandas/tests/computation/test_eval.py test_equals_various has what looks like a kludge:


@pytest.mark.parametrize(
    "other",
    [
        "'x'",
        "...",
    ],
)
def test_equals_various(other):
    df = DataFrame({"A": ["a", "b", "c"]})
    result = df.eval(f"A == {other}")
    expected = Series([False, False, False], name="A")
    if USE_NUMEXPR:
        # https://github.com/pandas-dev/pandas/issues/10239
        # lose name with numexpr engine. Remove when that's fixed.
        expected.name = None
    tm.assert_series_equal(result, expected)
```

For a few weeks now this has been failing locally (both parameters) because `result.name == "A"`, i.e. what `expected` would have without the USE_NUMEXPR check.

I get this behavior when running a full (--skip-slow --skip-db) test run, but not when I run just this file or just this test.
```


### Issue Description

See above

### Expected Behavior

test_equals_various

### Installed Versions

```
INSTALLED VERSIONS
------------------
commit           : ad4e091c19623608a2a016506167e6cbc1de46e4
python           : 3.9.6.final.0
python-bits      : 64
OS               : Darwin
OS-release       : 20.3.0
Version          : Darwin Kernel Version 20.3.0: Thu Jan 21 00:07:06 PST 2021; root:xnu-7195.81.3~1/RELEASE_X86_64
machine          : x86_64
processor        : i386
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 1.4.0.dev0+804.gad4e091c19.dirty
numpy            : 1.21.1
pytz             : 2021.1
dateutil         : 2.8.1
pip              : 21.2.4
setuptools       : 57.0.0
Cython           : 0.29.24
pytest           : 6.2.5
hypothesis       : 6.8.1
sphinx           : 3.3.1
blosc            : None
feather          : None
xlsxwriter       : 3.0.1
lxml.etree       : 4.6.1
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : 2.11.2
IPython          : 7.24.0
pandas_datareader: 0.9.0
bs4              : None
bottleneck       : 1.3.2
fsspec           : 0.8.5
fastparquet      : 0.6.3
gcsfs            : None
matplotlib       : 3.4.2
numexpr          : 2.7.3
odfpy            : None
openpyxl         : 3.0.7
pandas_gbq       : None
pyarrow          : 5.0.0
pyxlsb           : None
s3fs             : None
scipy            : 1.6.3
sqlalchemy       : 1.4.0
tables           : 3.6.1
tabulate         : 0.8.7
xarray           : 0.16.1
xlrd             : 2.0.1
xlwt             : None
numba            : 0.53.1
```