code: def test_softmax_binary(self):
      df = np.array(
          [
              -40.00643897,
              34.69754581,
              23.71181359,
              -29.89724287,
              27.06071791,
              -37.78334103,
              -40.15812461,
              40.16139229,
              -27.85887801,
              42.67404756,
              -36.89753589,
              -36.45148009,
              54.68976306,
              19.47886562,
              -49.99821027,
              -35.70205302,
              -40.59639267,
              32.96343916,
              -39.23777841,
              -37.86535019,
              -33.10196906,
              26.84144377,
              -36.8569686,
          ]
      )
      probas = softmax(df)
      expected = [[1.0, 0.0] if d < 0.0 else [0.0, 1.0] for d in df]
      np.testing.assert_array_almost_equal(expected, probas)
  
imports: import numpy
  from autosklearn.pipeline.implementations.util import softmax
  import unittest
label_desc: Use image node_id 1 for calling the UtilTest obj's underlying member method code with example usage: obj.test_softmax_binary() without return types