date_range returns duplicated dates when used with dateutil over a range that includes the end of daylight saving time
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd
from dateutil.tz import gettz

TZ = 'Europe/Paris'
start = '2018-10-28T01:30' # Just before the end of daylight saving time in Paris
end = '2018-10-28T03:30' # Just after the end of daylight saving time in Paris

range_str = pd.date_range(
    start=pd.Timestamp(start, tz=TZ),
    end=pd.Timestamp(end, tz=TZ),
    freq='30min'
)


range_dateutil = pd.date_range(
    start=pd.Timestamp(start, tz=gettz(TZ)),
    end=pd.Timestamp(end, tz=gettz(TZ)),
    freq='30min'
)

assert((range_str.astype('str') == range_dateutil.astype('str')).all())
```

#### Problem description

In the example above `range_dateutil` is : 

```python
# range_dateutil
DatetimeIndex([
'2018-10-28 01:30:00+02:00',
'2018-10-28 02:00:00+02:00',
'2018-10-28 02:30:00+02:00',
'2018-10-28 02:00:00+02:00', # should be +01:00
'2018-10-28 02:30:00+02:00', # should be +01:00
'2018-10-28 03:00:00+01:00',
'2018-10-28 03:30:00+01:00'
],
dtype='datetime64[ns, tzfile('/usr/share/zoneinfo/Europe/Paris')]',
freq='30T')
``` 
In the example above, range_str is correct, but range_dateutil contains duplicated datetimes: 
'2018-10-28 02:00:00+02:00' and '2018-10-28 02:30:00+02:00'.

I am not sure whether the problem is in pandas or dateutil.

#### Expected Output

```python
# range_dateutil
DatetimeIndex([
'2018-10-28 01:30:00+02:00',
'2018-10-28 02:00:00+02:00',
'2018-10-28 02:30:00+02:00',
'2018-10-28 02:00:00+01:00',
'2018-10-28 02:30:00+01:00',
'2018-10-28 03:00:00+01:00',
'2018-10-28 03:30:00+01:00'
],
dtype='datetime64[ns, tzfile('/usr/share/zoneinfo/Europe/Paris')]',
freq='30T')
``` 

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

<details>

INSTALLED VERSIONS
------------------
commit: None
python: 2.7.10.final.0
python-bits: 64
OS: Darwin
OS-release: 17.7.0
machine: x86_64
processor: i386
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None

pandas: 0.23.4
pytest: None
pip: 18.1
setuptools: 18.5
Cython: None
numpy: 1.15.4
scipy: 0.13.0b1
pyarrow: None
xarray: None
IPython: 5.8.0
sphinx: None
patsy: None
dateutil: 2.7.5
pytz: 2018.7
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 1.3.1
openpyxl: None
xlrd: 1.1.0
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

</details>
