code: def test_predict():
      """
      Test the model prediction API.
      The predict method is already used in previous tests for estimation of the
      signal. But here, we will test is separately.
      """
      assert_array_almost_equal(
          ivim_fit_single.predict(gtab), data_single
      )
      assert_array_almost_equal(
          ivim_model_trr.predict(ivim_fit_single.model_params, gtab),
          data_single,
      )
  
      ivim_fit_multi = ivim_model_trr.fit(data_multi)
      assert_array_almost_equal(
          ivim_fit_multi.predict(gtab), data_multi
      )
  
imports: import warnings
  import numpy
  from numpy.testing import assert_array_equal, assert_array_almost_equal, assert_raises, assert_array_less, assert_, assert_equal
  from dipy.testing import assert_greater_equal
  import pytest
  from dipy.reconst.ivim import ivim_prediction, IvimModel
  from dipy.core.gradients import gradient_table, generate_bvecs
  from dipy.sims.voxel import multi_tensor
  from dipy.utils.optpkg import optional_package
label_desc: Use image node_id 10 for calling a global function with example usage: test_predict() without return types