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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def cdate_range(start=None, end=None, periods=None, freq='C', tz=None, normalize=True, name=None, closed=None, **kwargs):
 """ Return a fixed frequency DatetimeIndex, with CustomBusinessDay as the default frequency .. deprecated:: 0.21.0 Parameters start : string or datetime-like, default None Left bound for generating dates end : string or datetime-like, default None Right bound for generating dates periods : integer, default None Number of periods to generate freq : string or DateOffset, default 'C' (CustomBusinessDay) Frequency strings can have multiples, e.g. '5H' tz : string, default None Time zone name for returning localized DatetimeIndex, for example Asia/Beijing normalize : bool, default False Normalize start/end dates to midnight before generating date range name : string, default None Name of the resulting DatetimeIndex weekmask : string, Default 'Mon Tue Wed Thu Fri' weekmask of valid business days, passed to ``numpy.busdaycalendar`` holidays : list list/array of dates to exclude from the set of valid business days, passed to ``numpy.busdaycalendar`` closed : string, default None Make the interval closed with respect to the given frequency to the 'left', 'right', or both sides (None) Notes ----- Of the three parameters: ``start``, ``end``, and ``periods``, exactly two must be specified. To learn more about the frequency strings, please see `this link <http://pandas.pydata.org/pandas-docs/stable/timeseries.html#offset-aliases>`__. Returns ------- rng : DatetimeIndex """

    warnings.warn("cdate_range is deprecated and will be removed in a future "
                  "version, instead use pd.bdate_range(..., freq='{freq}')"
                  .format(freq=freq), FutureWarning, stacklevel=2)

    if freq == 'C':
        holidays = kwargs.pop('holidays', [])
        weekmask = kwargs.pop('weekmask', 'Mon Tue Wed Thu Fri')
        freq = CDay(holidays=holidays, weekmask=weekmask)

    return date_range(start=start, end=end, periods=periods, freq=freq,
                      tz=tz, normalize=normalize, name=name,
                      closed=closed, **kwargs)