code: def spalde(x, tck):
      """
      Evaluate all derivatives of a B-spline.
  
      Given the knots and coefficients of a cubic B-spline compute all
      derivatives up to order k at a point (or set of points).
  
      Parameters
      ----------
      x : array_like
          A point or a set of points at which to evaluate the derivatives.
          Note that ``t(k) <= x <= t(n-k+1)`` must hold for each `x`.
      tck : tuple
          A tuple (t,c,k) containing the vector of knots,
          the B-spline coefficients, and the degree of the spline.
  
      Returns
      -------
      results : {ndarray, list of ndarrays}
          An array (or a list of arrays) containing all derivatives
          up to order k inclusive for each point `x`.
  
      See Also
      --------
      splprep, splrep, splint, sproot, splev, bisplrep, bisplev,
      UnivariateSpline, BivariateSpline
  
      References
      ----------
      .. [1] de Boor C : On calculating with b-splines, J. Approximation Theory
         6 (1972) 50-62.
      .. [2] Cox M.G. : The numerical evaluation of b-splines, J. Inst. Maths
         applics 10 (1972) 134-149.
      .. [3] Dierckx P. : Curve and surface fitting with splines, Monographs on
         Numerical Analysis, Oxford University Press, 1993.
  
      """
      t, c, k = tck
      try:
          c[0][0]
          parametric = True
      except Exception:
          parametric = False
      if parametric:
          return list(
              map(lambda c, x=x, t=t, k=k: spalde(x, [t, c, k]), c)
          )
      else:
          x = atleast_1d(x)
          if len(x) > 1:
              return list(map(lambda x, tck=tck: spalde(x, tck), x))
          d, ier = _fitpack._spalde(t, c, k, x[0])
          if ier == 0:
              return d
          if ier == 10:
              raise TypeError(
                  "Invalid input data. t(k)<=x<=t(n-k+1) must hold."
              )
          raise TypeError("Unknown error")
  
file_path: catboost/contrib/python/scipy/py3/scipy/interpolate/_fitpack_impl.py
imports: import warnings
  import numpy
  from .None import _fitpack
  from numpy import atleast_1d, array, ones, zeros, sqrt, ravel, transpose, empty, iinfo, asarray
  from .None import dfitpack
label_desc: Use image node_id 7 for calling a global function with example usage: spalde(x, tck) and returns: list, list, d