code: def roots_genlaguerre(n, alpha, mu=False):
      r"""Gauss-generalized Laguerre quadrature.
  
      Computes the sample points and weights for Gauss-generalized Laguerre
      quadrature. The sample points are the roots of the n-th degree generalized
      Laguerre polynomial, :math:`L^{\alpha}_n(x)`.  These sample points and
      weights correctly integrate polynomials of degree :math:`2n - 1` or less
      over the interval :math:`[0, \infty]` with weight function
      :math:`f(x) = x^{\alpha} e^{-x}`.
  
      Parameters
      ----------
      n : int
          quadrature order
      alpha : float
          alpha must be > -1
      mu : bool, optional
          If True, return the sum of the weights, optional.
  
      Returns
      -------
      x : ndarray
          Sample points
      w : ndarray
          Weights
      mu : float
          Sum of the weights
  
      See Also
      --------
      scipy.integrate.quadrature
      scipy.integrate.fixed_quad
      """
      m = int(n)
      if n < 1 or n != m:
          raise ValueError("n must be a positive integer.")
      if alpha < -1:
          raise ValueError("alpha must be greater than -1.")
  
      mu0 = cephes.gamma(alpha + 1)
  
      if m == 1:
          x = np.array([alpha + 1.0], "d")
          w = np.array([mu0], "d")
          if mu:
              return x, w, mu0
          else:
              return x, w
  
      an_func = lambda k: 2 * k + alpha + 1
      bn_func = lambda k: -np.sqrt(k * (k + alpha))
      f = lambda n, x: cephes.eval_genlaguerre(n, alpha, x)
      df = (
          lambda n, x: (
              n * cephes.eval_genlaguerre(n, alpha, x)
              - (n + alpha) * cephes.eval_genlaguerre(n - 1, alpha, x)
          )
          / x
      )
      return _gen_roots_and_weights(
          m, mu0, an_func, bn_func, f, df, False, mu
      )
  
imports: from __future__ import division, print_function, absolute_import
  import numpy
  from numpy import exp, inf, pi, sqrt, floor, sin, cos, around, int, hstack, arccos, arange
  from scipy import linalg
  from scipy.special import airy
  from .None import _ufuncs
  from .None import _ufuncs
  from .None import specfun
  from ._ufuncs import binom, eval_jacobi, eval_sh_jacobi, eval_gegenbauer, eval_chebyt, eval_chebyu, eval_chebys, eval_chebyc, eval_sh_chebyt, eval_sh_chebyu, eval_legendre, eval_sh_legendre, eval_genlaguerre, eval_laguerre, eval_hermite, eval_hermitenorm
label_desc: Use image node_id 6 for calling a global function with example usage: roots_genlaguerre(n, alpha, mu) and returns: _gen_roots_and_weights, x,  w,  mu0, x,  w