`scipy.interpolate._bsplines:_handle_lhs_derivatives`

Signature

   def     _handle_lhs_derivatives (    t    ,    k    ,    xval    ,    ab    ,    kl    ,    ku    ,    deriv_ords    ,    offset    =  0     )

Fill in the entries of the colocation matrix corresponding to known derivatives at xval.

The colocation matrix is in the banded storage, as prepared by _coloc. No error checking.

t : ndarray, shape (nt + k + 1,): knots
k : integer: B-spline order
xval : float: The value at which to evaluate the derivatives at.
ab : ndarray, shape(2*kl + ku + 1, nt), Fortran order: B-spline colocation matrix. This argument is modified in-place.
kl : integer: Number of lower diagonals of ab.
ku : integer: Number of upper diagonals of ab.
deriv_ords : 1D ndarray: Orders of derivatives known at xval
offset : integer, optional: Skip this many rows of the matrix ab.