def _barnes(self, pos):
        """Creates a barnes interpolant & calculates its values"""
        b_in = self.b_in
        dist = lambda x: np.sqrt(np.dot(x,x))
        #we take a filter size as the max distance between the grids along
        #x or y:
        sz = self.npts[1]
        coeffs = self.get_values(self.barnes_params)

        b = BarnesInterpolationND(
            b_in, coeffs, filter_size=self.filtsize, damp=0.9, iterations=3,
            clip=self.local_updates, clipsize=self.barnes_clip_size,
            blocksize=100  # FIXME magic blocksize
        )
        return b(pos)
def _barnes(self, pos):
        """Creates a barnes interpolant & calculates its values"""
        b_in = self.b_in
        dist = lambda x: np.sqrt(np.dot(x,x))
        #we take a filter size as the max distance between the grids along
        #x or y:
        sz = self.npts[1]
        coeffs = self.get_values(self.barnes_params)

        b = BarnesInterpolationND(
            b_in, coeffs, filter_size=self.filtsize, damp=0.9, iterations=3,
            clip=self.local_updates, clipsize=self.barnes_clip_size,
            blocksize=100  # FIXME magic blocksize
        )
        return b(pos)
def _barnes ( self , pos ) : b_in = self . b_in dist = lambda x : np . sqrt ( np . dot ( x , x ) ) #we take a filter size as the max distance between the grids along #x or y: sz = self . npts [ 1 ] coeffs = self . get_values ( self . barnes_params ) b = BarnesInterpolationND ( b_in , coeffs , filter_size = self . filtsize , damp = 0.9 , iterations = 3 , clip = self . local_updates , clipsize = self . barnes_clip_size , blocksize = 100 # FIXME magic blocksize ) return b ( pos )
Creates a barnes interpolant & calculates its values
Creates a barnes interpolant & calculates its values