def K(self, X, X2=None, presliced=False):
        """
        Calculates the kernel matrix K(X, X2) (or K(X, X) if X2 is None).
        Handles the slicing as well as scaling and computes k(x, x') = k(r),
        where r² = ((x - x')/lengthscales)².

        Internally, this calls self.K_r2(r²), which in turn computes the
        square-root and calls self.K_r(r). Classes implementing stationary
        kernels can either overwrite `K_r2(r2)` if they only depend on the
        squared distance, or `K_r(r)` if they need the actual radial distance.
        """
        if not presliced:
            X, X2 = self._slice(X, X2)
        return self.K_r2(self.scaled_square_dist(X, X2))
def K ( self , X , X2 = None , presliced = False ) : if not presliced : X , X2 = self . _slice ( X , X2 ) return self . K_r2 ( self . scaled_square_dist ( X , X2 ) )
Calculates the kernel matrix K(X, X2) (or K(X, X) if X2 is None).
        Handles the slicing as well as scaling and computes k(x, x') = k(r),
        where r² = ((x - x')/lengthscales)².

        Internally, this calls self.K_r2(r²), which in turn computes the
        square-root and calls self.K_r(r). Classes implementing stationary
        kernels can either overwrite `K_r2(r2)` if they only depend on the
        squared distance, or `K_r(r)` if they need the actual radial distance.