code: def test_he_normal(self):
      he_normal = init.HeNormal()
      weight = self.eval(he_normal.sample((40, 40)))
  
      self.assertNormalyDistributed(weight)
      self.assertAlmostEqual(weight.mean(), 0, places=1)
      self.assertAlmostEqual(
          weight.std(), math.sqrt(1.0 / 40), places=2
      )
  
imports: import math
  from scipy import stats
  import numpy
  from neupy import init
  from neupy.init import identify_fans
  from base import BaseTestCase
label_desc: Use image node_id 1 for calling the HeInitializeTestCase obj's underlying member method code with example usage: obj.test_he_normal() without return types