code: def test_forecast_predict():
      # check anisotropic tensor
      with warnings.catch_warnings():
          warnings.filterwarnings(
              "ignore",
              message=descoteaux07_legacy_msg,
              category=PendingDeprecationWarning,
          )
          fm = ForecastModel(
              data.gtab, sh_order=8, dec_alg="CSD", sphere=data.sphere
          )
      f_fit = fm.fit(data.S)
  
      with warnings.catch_warnings():
          warnings.filterwarnings(
              "ignore",
              message=descoteaux07_legacy_msg,
              category=PendingDeprecationWarning,
          )
          S = f_fit.predict(S0=1.0)
  
      mse = np.sum((S - data.S / 100.0) ** 2) / len(S)
  
      assert_almost_equal(mse, 0.0, 3)
  
file_path: dipy/dipy/reconst/tests/test_forecast.py
imports: import warnings
  import numpy
  from dipy.data import get_sphere, default_sphere, get_3shell_gtab
  from dipy.reconst.forecast import ForecastModel
  from dipy.reconst.shm import descoteaux07_legacy_msg
  from dipy.sims.voxel import multi_tensor
  from numpy.testing import assert_almost_equal, assert_equal
  import pytest
  from dipy.direction.peaks import peak_directions
  from dipy.core.sphere_stats import angular_similarity
  from dipy.utils.optpkg import optional_package
label_desc: Use image node_id 6 for calling a global function with example usage: test_forecast_predict() without return types