code: def test_masker_attributes_passing_masker_arguments_to_estimator(
      affine_eye, canica_data
  ):
      canica = CanICA(
          n_components=3,
          target_affine=affine_eye,
          target_shape=(6, 8, 10),
          mask_strategy="background",
      )
      canica.fit(canica_data)
  
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 13 for calling a global function with example usage: test_masker_attributes_passing_masker_arguments_to_estimator(affine_eye, canica_data) without return types