code: def alpha(returns,
            factor_returns,
            risk_free=0.0,
            period=DAILY,
            annualization=None,
            out=None,
            _beta=None):
      
      if not (isinstance(returns, np.ndarray) and
              isinstance(factor_returns, np.ndarray)):
          returns, factor_returns = _aligned_series(returns, factor_returns)
  
      return alpha_aligned(
          returns,
          factor_returns,
          risk_free=risk_free,
          period=period,
          annualization=annualization,
          out=out,
          _beta=_beta
      )
docs: Calculates annualized alpha.
  
      Parameters
      ----------
      returns : pd.Series
          Daily returns of the strategy, noncumulative.
          - See full explanation in :func:`~empyrical.stats.cum_returns`.
      factor_returns : pd.Series
          Daily noncumulative returns of the factor to which beta is
          computed. Usually a benchmark such as the market.
          - This is in the same style as returns.
      risk_free : int, float, optional
          Constant risk-free return throughout the period. For example, the
          interest rate on a three month us treasury bill.
      period : str, optional
          Defines the periodicity of the 'returns' data for purposes of
          annualizing. Value ignored if `annualization` parameter is specified.
          Defaults are::
  
              'monthly':12
              'weekly': 52
              'daily': 252
  
      annualization : int, optional
          Used to suppress default values available in `period` to convert
          returns into annual returns. Value should be the annual frequency of
          `returns`.
          - See full explanation in :func:`~empyrical.stats.annual_return`.
      _beta : float, optional
          The beta for the given inputs, if already known. Will be calculated
          internally if not provided.
      out : array-like, optional
          Array to use as output buffer.
          If not passed, a new array will be created.
  
      Returns
      -------
      float
          Alpha.