code: def _round_scores(p):
      """
      Since turicreate uses fixed threshold (100001) and scikit-learn
      uses all threshold for things like AUC, we might get slightly different
      results if some scores fall between the cracks. To make sure this does
      not happen during our unit tests, we snap numbers to the centers between
      thresholds.
      """
      return (np.round(p, decimals=5) + 0.5 / 100001).clip(max=1)
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import unittest
  import turicreate
  from turicreate.toolkits._main import ToolkitError
  import math
  from numpy import inf
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: _round_scores(p) and returns: unknown