HDF store not closed on AssertionError
#### Code Sample, a copy-pastable example if possible

Code adapted from https://github.com/ToucanToco/peakina/blob/master/peakina/cache.py#L84

```python
        try:
            metadata = pd.read_hdf(filepath)
        except Exception:  # catch all, on purpose
            metadata = pd.DataFrame(columns=['key', 'mtime', 'created_at'])
            metadata.to_hdf(filepath, key, mode='w')

        return metadata
        
```

#### Problem description

In `read_hdf`, if the `store.select()` call throws either a `ValueError`, a `TypeError` or a `KeyError` then the store is closed.

However, if any other exception is thrown (e.g. an `AssertionError` if there are gaps in blocks ref_loc) , the store is not closed and some client code could end up trying to reopen the store and hit an error like: `the file XXX is already opened. Please close it before
reopening in write mode`. 


#### Expected Output

No reentrant exception.

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

<details>
INSTALLED VERSIONS
------------------
commit           : None
python           : 3.6.8.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.19.0-5-amd64
machine          : x86_64
processor        : 
byteorder        : little
LC_ALL           : None
LANG             : fr_FR.UTF-8
LOCALE           : fr_FR.UTF-8

pandas           : 0.25.1
numpy            : 1.17.2
pytz             : 2019.2
dateutil         : 2.8.0
pip              : 19.2.3
setuptools       : 41.2.0
Cython           : None
pytest           : 5.1.2
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : None
html5lib         : None
pymysql          : None
psycopg2         : None
jinja2           : None
IPython          : None
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : None
matplotlib       : None
numexpr          : 2.7.0
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : 0.14.1
pytables         : None
s3fs             : 0.3.4
scipy            : None
sqlalchemy       : None
tables           : 3.5.2
xarray           : None
xlrd             : 1.2.0
xlwt             : None
xlsxwriter       : None

</details>
