BUG: IntervalIndex.get_indexer fails for homogeneous Period targets
#### Code Sample, a copy-pastable example if possible
```python
In [1]: import pandas as pd; pd.__version__
Out[1]: '0.26.0.dev0+1256.g52f5fdf10'

In [2]: ii = pd.interval_range(pd.Timestamp('2018-01-01'), freq='3D', periods=3)

In [3]: pi = pd.period_range('2018-01-01', freq='D', periods=3)

In [4]: ii.get_indexer(pi)
---------------------------------------------------------------------------
TypeError: No matching signature found

In [5]: ii.get_indexer(pd.array(pi))
---------------------------------------------------------------------------
TypeError: No matching signature found

In [6]: ii.get_indexer(list(pi))
---------------------------------------------------------------------------
TypeError: No matching signature found
```

Note that heterogeneous targets containing `Period` objects are okay, as they get coerced to `object` dtype:
```python
In [7]: ii.get_indexer(list(pi) + [10])
Out[7]: array([-1, -1, -1, -1])
```
xref https://github.com/pandas-dev/pandas/issues/30063#issuecomment-563808294
#### Problem description
Homogeneous `Period` targets incorrectly raise a `TypeError` for `IntervalIndex.get_indexer`.

#### Expected Output
I'd expect `IntervalIndex.get_indexer` to return an array indicating all values are missing (-1) for homogeneous `Period` targets.

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

<details>

INSTALLED VERSIONS
------------------
commit           : 52f5fdf10d7ce7d85759cf37f1af554474d6d9db
python           : 3.7.4.final.0
python-bits      : 64
OS               : Linux
OS-release       : 4.19.14-041914-generic
machine          : x86_64
processor        : x86_64
byteorder        : little
LC_ALL           : None
LANG             : en_US.UTF-8
LOCALE           : en_US.UTF-8

pandas           : 0.26.0.dev0+1256.g52f5fdf10
numpy            : 1.17.2
pytz             : 2019.2
dateutil         : 2.8.0
pip              : 19.2.3
setuptools       : 41.6.0.post20191030
Cython           : 0.29.13
pytest           : 5.2.0
hypothesis       : 4.36.2
sphinx           : 1.8.5
blosc            : None
feather          : None
xlsxwriter       : 1.2.1
lxml.etree       : 4.4.1
html5lib         : 1.0.1
pymysql          : None
psycopg2         : None
jinja2           : 2.10.1
IPython          : 7.8.0
pandas_datareader: None
bs4              : 4.8.0
bottleneck       : 1.2.1
fastparquet      : 0.3.2
gcsfs            : None
lxml.etree       : 4.4.1
matplotlib       : 3.1.1
numexpr          : 2.7.0
odfpy            : None
openpyxl         : 3.0.0
pandas_gbq       : None
pyarrow          : 0.15.0
pytables         : None
pytest           : 5.2.0
s3fs             : 0.3.4
scipy            : 1.3.1
sqlalchemy       : 1.3.8
tables           : 3.5.1
xarray           : 0.13.0
xlrd             : 1.2.0
xlwt             : 1.3.0
xlsxwriter       : 1.2.1

</details>