code: def test_has_approx_support(self, m, m_hat, expected):
      result = metrics.has_approx_support(m, m_hat, 0.5)
      print(m, m_hat, result)
      assert result == expected
  
file_path: skggm/inverse_covariance/profiling/tests/metrics_test.py
imports: import numpy
  import pytest
  from inverse_covariance.profiling import metrics
label_desc: Use image node_id 6 for calling the TestMetrics obj's underlying member method code with example usage: obj.test_has_approx_support(m, m_hat, expected) without return types