code: def test_transform_and_fit_errors(canica_data, mask_img):
      canica = CanICA(mask=mask_img, n_components=3)
  
      with pytest.raises(
          ValueError,
          match="Object has no components_ attribute. "
          "This is probably because fit has not been called.",
      ):
          canica.transform(canica_data)
  
      # error when empty list of provided.
      with pytest.raises(
          ValueError,
          match="Need one or more Niimg-like objects as input, "
          "an empty list was given.",
      ):
          canica.fit([])
  
      # error is raised when no data is passed.
      with pytest.raises(
          TypeError,
          match="missing 1 required positional argument: 'imgs'",
      ):
          canica.fit()
  
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 7 for calling a global function with example usage: test_transform_and_fit_errors(canica_data, mask_img) without return types