code: def test_coerce_to_dict_with_string():
      test_input = "StopSuccess - Go"
      expected_output = {"StopSuccess - Go": "StopSuccess - Go"}
      actual_output = glmr._coerce_to_dict(test_input)
      assert actual_output == expected_output
  
imports: import numpy
  import pandas
  import pytest
  from nibabel import load
  from nilearn._utils.data_gen import write_fake_fmri_data_and_design
  from nilearn.glm.first_level import FirstLevelModel
  from nilearn.glm.first_level.design_matrix import make_first_level_design_matrix
  from nilearn.glm.second_level import SecondLevelModel
  from nilearn.maskers import NiftiMasker
  from nilearn.reporting import glm_reporter
label_desc: Use image node_id 8 for calling a global function with example usage: test_coerce_to_dict_with_string() without return types