code: def test_masker_attributes_with_fit(canica_data, mask_img):
      # Test base module at sub-class
  
      # Passing mask_img
      canica = CanICA(n_components=3, mask=mask_img, random_state=0)
      canica.fit(canica_data)
  
      assert canica.mask_img_ == mask_img
      assert canica.mask_img_ == canica.masker_.mask_img_
  
      # Passing masker
      masker = MultiNiftiMasker(mask_img=mask_img)
      canica = CanICA(n_components=3, mask=masker, random_state=0)
      canica.fit(canica_data)
  
      assert canica.mask_img_ == canica.masker_.mask_img_
  
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 12 for calling a global function with example usage: test_masker_attributes_with_fit(canica_data, mask_img) without return types