code: def create_inducing() -> InducingPointsLike:
      Z = np.linspace(0.0, 1.0, 10)[:, None]
      iv = gpflow.inducing_variables.InducingPoints(Z)
      gpflow.set_trainable(iv.Z, False)
      return iv
  
imports: from typing import Callable
  import numpy
  import pytest
  from check_shapes import ShapeChecker
  import gpflow
  from gpflow import default_float
  from gpflow.base import AnyNDArray, RegressionData
  from gpflow.functions import Linear
  from gpflow.kernels import Kernel
  from gpflow.likelihoods import Gaussian
  from gpflow.models import GPR, GPRFITC, SGPR, SVGP, VGP, GPModel, training_loss_closure
  from gpflow.models.util import InducingPointsLike
label_desc: Use image node_id 2 for calling a global function with example usage: create_inducing() and returns: iv