code: def test_infer_slice_timing_start_time_from_dataset(tmp_path):
      """Test inferring slice timing start time from the BIDS dataset.
  
      create_fake_bids_dataset does not add slice timing information
      by default so the value returned will be None.
  
      If the metadata is added to the BIDS dataset,
      then this value should be returned.
      """
      bids_path = create_fake_bids_dataset(
          base_dir=tmp_path,
          n_sub=1,
          n_ses=1,
          tasks=["main"],
          n_runs=[1],
      )
  
      StartTime = infer_slice_timing_start_time_from_dataset(
          bids_path=tmp_path / bids_path / "derivatives",
          filters=[("task", "main")],
      )
  
      expected_StartTime = None
      assert StartTime is expected_StartTime
  
      expected_StartTime = 1.0
      add_metadata_to_bids_dataset(
          bids_path=tmp_path / bids_path,
          metadata={"StartTime": expected_StartTime},
      )
  
      StartTime = infer_slice_timing_start_time_from_dataset(
          bids_path=tmp_path / bids_path / "derivatives",
          filters=[("task", "main")],
      )
  
      assert StartTime == expected_StartTime
  
imports: import json
  import os
  import numpy
  import pandas
  import pytest
  from nilearn._utils.data_gen import add_metadata_to_bids_dataset, create_fake_bids_dataset, generate_fake_fmri_data_and_design
  from nilearn.glm.first_level import FirstLevelModel
  from nilearn.glm.second_level import SecondLevelModel
  from nilearn.interfaces.bids import get_bids_files, parse_bids_filename, save_glm_to_bids
  from nilearn.interfaces.bids.query import _get_metadata_from_bids, infer_repetition_time_from_dataset, infer_slice_timing_start_time_from_dataset
  from nilearn.maskers import NiftiMasker
label_desc: Use image node_id 3 for calling a global function with example usage: test_infer_slice_timing_start_time_from_dataset(tmp_path) without return types