code: def permuted_ols_no_intercept(tested_var, target_var, n_perm, i):
      n_regressors = 1
      output = permuted_ols(
          tested_var,
          target_var,
          model_intercept=False,
          n_perm=n_perm,
          two_sided_test=False,
          random_state=i,
          output_type="dict",
      )
      assert_equal(output["h0_max_t"].shape, (n_regressors, n_perm))
      return output["h0_max_t"]
  
imports: import nibabel
  import numpy
  import pytest
  from numpy.testing import assert_array_almost_equal, assert_array_less, assert_equal
  from scipy import stats
  from nilearn.conftest import _rng
  from nilearn.maskers import NiftiMasker
  from nilearn.mass_univariate import permuted_ols
label_desc: Use image node_id 11 for calling a global function with example usage: permuted_ols_no_intercept(tested_var, target_var, n_perm, i) and returns: output