__init__(self, data, dimension): 

LLM Docstring

Store the core surface data and its dimension.

• data: Any

  the surface’s backing data (interpreted by the subclass)

• dimension: int | None

  the dimensionality of the surface’s input space

evaluate(self, points, **kwargs): 

Evaluates the function at the points based off of “data”

• points: Any

• :returns: _

check_dimension(self, gridpoints, target=None, raise_exception=True): 

LLM Docstring

Check that a set of grid points matches the surface’s expected dimension, optionally raising on a mismatch.

• gridpoints: np.ndarray

  the points to check

• target: int | None

  the expected dimension (defaults to the surface’s)

• raise_exception: bool

  raise (rather than return False) on a mismatch

• :returns: bool

  whether the dimension matches

__call__(self, gridpoints, **kwargs): 

• gridpoints: np.ndarray

• kwargs: Any

• :returns: _