code: def _sort_input_dataframe(second_level_input):
      """Sort the pandas dataframe by subject_label to \
      avoid inconsistencies with the design matrix row order when \
      automatically extracting maps."""
      columns = second_level_input.columns.tolist()
      column_index = columns.index("subject_label")
      sorted_matrix = sorted(
          second_level_input.values, key=lambda x: x[column_index]
      )
      return pd.DataFrame(sorted_matrix, columns=columns)
  
imports: import sys
  import time
  from warnings import warn
  import numpy
  import pandas
  from joblib import Memory
  from nibabel import Nifti1Image
  from sklearn.base import clone
  from nilearn._utils import fill_doc, stringify_path
  from nilearn._utils.niimg_conversions import check_niimg
  from nilearn.glm._base import BaseGLM
  from nilearn.glm.contrasts import compute_contrast, expression_to_contrast_vector
  from nilearn.glm.first_level import FirstLevelModel, run_glm
  from nilearn.glm.first_level.design_matrix import make_second_level_design_matrix
  from nilearn.glm.regression import RegressionResults, SimpleRegressionResults
  from nilearn.image import mean_img
  from nilearn.maskers import NiftiMasker
  from nilearn.mass_univariate import permuted_ols
label_desc: Use image node_id 19 for calling a global function with example usage: _sort_input_dataframe(second_level_input) and returns: pd