parameters: (signal, lamb=0.0)
docstring: Compute quadratic spline coefficients for rank-1 array.
  
      Find the quadratic spline coefficients for a 1-D signal assuming
      mirror-symmetric boundary conditions.   To obtain the signal back from the
      spline representation mirror-symmetric-convolve these coefficients with a
      length 3 FIR window [1.0, 6.0, 1.0]/ 8.0 .
  
      Parameters
      ----------
      signal : ndarray
          A rank-1 array representing samples of a signal.
      lamb : float, optional
          Smoothing coefficient (must be zero for now).
  
      Returns
      -------
      c : ndarray
          Cubic spline coefficients.
docstring_summary: Compute quadratic spline coefficients for rank-1 array.
docstring_tokens: Compute quadratic spline coefficients for rank - 1 array .
function: def qspline1d(signal, lamb=0.0):
      """Compute quadratic spline coefficients for rank-1 array.
  
      Find the quadratic spline coefficients for a 1-D signal assuming
      mirror-symmetric boundary conditions.   To obtain the signal back from the
      spline representation mirror-symmetric-convolve these coefficients with a
      length 3 FIR window [1.0, 6.0, 1.0]/ 8.0 .
  
      Parameters
      ----------
      signal : ndarray
          A rank-1 array representing samples of a signal.
      lamb : float, optional
          Smoothing coefficient (must be zero for now).
  
      Returns
      -------
      c : ndarray
          Cubic spline coefficients.
  
      """
      if lamb != 0.0:
          raise ValueError("Smoothing quadratic splines not supported yet.")
      else:
          return _quadratic_coeff(signal)
function_tokens: def qspline1d ( signal , lamb = 0.0 ) : if lamb != 0.0 : raise ValueError ( "Smoothing quadratic splines not supported yet." ) else : return _quadratic_coeff ( signal )