code: def test_reports_after_fit_3d_data_with_mask(
      masker_class, input_parameters, data_img_3d, mask
  ):
      """Tests report generation after fitting on 3D data with mask_img."""
      input_parameters["mask_img"] = mask
      masker = masker_class(**input_parameters)
      masker.fit(data_img_3d)
      assert masker._report_content["warning_message"] is None
      html = masker.generate_report()
      _check_html(html)
  
imports: from collections import Counter
  import numpy
  import pytest
  from nibabel import Nifti1Image
  from numpy.testing import assert_almost_equal
  from nilearn._utils.data_gen import generate_fake_fmri, generate_labeled_regions, generate_maps, generate_random_img
  from nilearn.image import get_data, new_img_like
  from nilearn.maskers import MultiNiftiLabelsMasker, MultiNiftiMapsMasker, MultiNiftiMasker, NiftiLabelsMasker, NiftiMapsMasker, NiftiMasker, NiftiSpheresMasker
label_desc: Use image node_id 9 for calling a global function with example usage: test_reports_after_fit_3d_data_with_mask(masker_class, input_parameters, data_img_3d, mask) without return types