code: def support_false_positive_count(m, m_hat):
      """Count the number of false positive support elements in
      m_hat in one triangle, not including the diagonal.
      """
      m_nnz, m_hat_nnz, intersection_nnz = _nonzero_intersection(
          m, m_hat
      )
      return int((m_hat_nnz - intersection_nnz) / 2.0)
  
file_path: skggm/inverse_covariance/profiling/metrics.py
imports: import numpy
label_desc: Use image node_id 2 for calling a global function with example usage: support_false_positive_count(m, m_hat) and returns: int