code: def test_components_img(canica_data, mask_img):
      n_components = 3
  
      canica = CanICA(n_components=n_components, mask=mask_img)
      canica.fit(canica_data)
      components_img = canica.components_img_
  
      assert isinstance(components_img, Nifti1Image)
  
      check_shape = canica_data[0].shape[:3] + (n_components,)
  
      assert components_img.shape, check_shape
  
imports: import numpy
  import pytest
  from nibabel import Nifti1Image
  from numpy.testing import assert_array_almost_equal
  from nilearn._utils.testing import write_imgs_to_path
  from nilearn.conftest import _affine_eye, _rng
  from nilearn.decomposition.canica import CanICA
  from nilearn.image import get_data, iter_img
  from nilearn.maskers import MultiNiftiMasker
label_desc: Use image node_id 14 for calling a global function with example usage: test_components_img(canica_data, mask_img) without return types