code: def test_infer_effect_maps_error(tmp_path):
      shapes, rk = (SHAPE, (7, 8, 7, 16)), 3
      _, fmri_data, _ = write_fake_fmri_data_and_design(
          shapes, rk, file_path=tmp_path
      )
      second_level_input = pd.DataFrame(
          {
              "map_name": ["a", "b"],
              "effects_map_path": [fmri_data[0], "bar"],
          }
      )
      with pytest.raises(ValueError, match="File not found: 'bar'"):
          _infer_effect_maps(second_level_input, "b")
  
imports: import os
  from pathlib import Path
  import numpy
  import pandas
  import pytest
  from nibabel import Nifti1Image, load
  from numpy.testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from scipy import stats
  from nilearn._utils import testing
  from nilearn._utils.data_gen import generate_fake_fmri_data_and_design, write_fake_bold_img, write_fake_fmri_data_and_design
  from nilearn.glm.first_level import FirstLevelModel, run_glm
  from nilearn.glm.second_level import SecondLevelModel, non_parametric_inference
  from nilearn.glm.second_level.second_level import _check_confounds, _check_design_matrix, _check_effect_maps, _check_first_level_contrast, _check_input_as_first_level_model, _check_output_type, _check_second_level_input, _infer_effect_maps, _process_second_level_input_as_dataframe, _process_second_level_input_as_firstlevelmodels, _sort_input_dataframe
  from nilearn.image import concat_imgs, get_data, new_img_like, smooth_img
  from nilearn.maskers import NiftiMasker
label_desc: Use image node_id 21 for calling a global function with example usage: test_infer_effect_maps_error(tmp_path) without return types