code: def __intlogspace(start, end, count):
      return np.unique(
          np.round(
              start
              + (end - start)
              * (np.logspace(0, 1, count, endpoint=True) - 1)
              / 9
          ).astype(int)
      )
  
imports: import hashlib
  import os
  import time
  import numpy
  import sklearn
  from ..None import __version__
  from .None import measures, methods
label_desc: Use image node_id 41 for calling a global function with example usage: __intlogspace(start, end, count) and returns: np