PERF: Improve performance CustmBusinessDay
Closes #8236 

`CustomBusinessDay` is now fast with holiday calendar and incrementing in different ways. 
import pandas as pd
import numpy as np
import datetime as dt

date = pd.Timestamp('20120101')
cbday = pd.offsets.CustomBusinessDay()
date + cbday
%timeit date + cbday
10000 loops, best of 3: 17.2 µs per loop

hdays = [dt.datetime(2013,1,1) for ele in range(1000)]
cbdayh = pd.offsets.CustomBusinessDay.from_various(holidays=hdays)
%timeit date + cbdayh
%timeit date + 2 \* cbdayh
%timeit date - 1 \* cbdayh
%timeit date - 10 \* cbday

100000 loops, best of 3: 14.6 µs per loop
100000 loops, best of 3: 19.7 µs per loop
10000 loops, best of 3: 22.7 µs per loop
10000 loops, best of 3: 22.3 µs per loop

Please check whether you agree with the way I initialize custom offsets now (using classmethod). 

I see the tests on several python versions failing. Is there a way to run tox locally and quickly? 

I tried using `tox --develop -e py34` but I get errors related to hashtable. I guess then the c-extensions of the different python versions are in conflict. 
 replaced by #8293
