`scipy.interpolate._rbfinterp:RBFInterpolator._chunk_evaluator`

Signature

   def     _chunk_evaluator (    self    ,    x    ,    y    ,    shift    ,    scale    ,    coeffs    ,    memory_budget    =  1000000     )

Evaluate the interpolation while controlling memory consumption. We chunk the input if we need more memory than specified.

x : (Q, N) float ndarray: array of points on which to evaluate
y: (P, N) float ndarray: array of points on which we know function values
shift: (N, ) ndarray: Domain shift used to create the polynomial matrix.
scale : (N,) float ndarray: Domain scaling used to create the polynomial matrix.
coeffs: (P+R, S) float ndarray: Coefficients in front of basis functions
memory_budget: int: Total amount of memory (in units of sizeof(float)) we wish to devote for storing the array of coefficients for interpolated points. If we need more memory than that, we chunk the input.