Help with grassmanian interpolation

[KapilKhanal]

I am trying to interpolate for the intermediate parameters using the GrassmannInterpolation() method as shown below.

parameters = np.linspace(0.1, 5, 6)
 matrices = give_snapshot(parameters)
 manifold_projection = SVDProjection(matrices, p="max") 
 projection_kernel = ProjectionKernel()
 # Compute kernel for U (left singular vectors)
 projection_kernel.calculate_kernel_matrix(x=manifold_projection.u, s=manifold_projection.u)
 kernel_psi = projection_kernel.kernel_matrix
 # Compute kernel for V (right singular vectors)
 
 projection_kernel.calculate_kernel_matrix(x=manifold_projection.v, s=manifold_projection.v)
 kernel_phi = projection_kernel.kernel_matrix

 singular_vectors = [GrassmannPoint(u.data) for u in manifold_projection.u]
 print(f"Shape of singular vectors: {[s.data.shape for s in singular_vectors]}")


 distance_metric = AsimovDistance()
 coordinates = parameters.reshape(-1, 1)

 interpolator = GrassmannInterpolation(
     interpolation_method=None,          # Default to multi-linear interpolation
     manifold_data=singular_vectors,     # Singular vectors (Grassmann points)
     coordinates=coordinates,            # Frequencies where matrix snapshots are available
     distance=distance_metric
 )

 freq_interp = np.array([[2.1]])

 interpolated_point = interpolator.interpolate_manifold(freq_interp)

The last line gives following error