code: def test_connectivity_measure_standardize(signals):
      """Check warning is raised and then suppressed with setting standardize."""
      match = "default strategy for standardize"
  
      with pytest.warns(DeprecationWarning, match=match):
          ConnectivityMeasure(kind="correlation").fit_transform(signals)
  
      with warnings.catch_warnings(record=True) as record:
          ConnectivityMeasure(
              kind="correlation", standardize="zscore_sample"
          ).fit_transform(signals)
          for m in record:
              assert match not in m.message
  
imports: import copy
  import warnings
  from math import cosh, exp, log, sinh, sqrt
  import numpy
  import pytest
  from numpy.testing import assert_array_almost_equal, assert_array_equal
  from pandas import DataFrame
  from scipy import linalg
  from sklearn.covariance import EmpiricalCovariance, LedoitWolf
  from nilearn._utils.extmath import is_spd
  from nilearn.connectome.connectivity_matrices import ConnectivityMeasure, _check_spd, _check_square, _form_symmetric, _geometric_mean, _map_eigenvalues, prec_to_partial, sym_matrix_to_vec, vec_to_sym_matrix
  from nilearn.tests.test_signal import generate_signals
label_desc: Use image node_id 42 for calling a global function with example usage: test_connectivity_measure_standardize(signals) without return types