code: def is_overlapped(end1, start2):
      """Returns True if segments are overlapping.
  
      Arguments
      ---------
      end1 : float
          End time of the first segment.
      start2 : float
          Start time of the second segment.
  
      Returns
      -------
      overlapped : bool
          True of segments overlapped else False.
  
      Example
      -------
      >>> from speechbrain.processing import diarization as diar
      >>> diar.is_overlapped(5.5, 3.4)
      True
      >>> diar.is_overlapped(5.5, 6.4)
      False
      """
  
      if start2 > end1:
          return False
      else:
          return True
  
imports: import csv
  import numbers
  import warnings
  import scipy
  import pytest
  import numpy
  from scipy import sparse
  from scipy.sparse.linalg import eigsh
  from scipy.sparse.csgraph import connected_components
  from scipy.sparse.csgraph import laplacian
label_desc: Use image node_id 4 for calling a global function with example usage: is_overlapped(end1, start2) and returns: False, True