code: def test_calculate_gain_leaky_relu(self):
      for param in [None, 0, 0.01, 10]:
          gain = init.calculate_gain("leaky_relu", param)
          if param is None:  # Default slope is 0.01
              self.assertEqual(gain, 1.4141428569978354)
          elif param == 0:  # No slope = same gain as normal ReLU
              self.assertEqual(gain, 1.4142135623730951)
          elif param == 0.01:
              self.assertEqual(gain, 1.4141428569978354)
          elif param == 10:
              self.assertEqual(gain, 0.14071950894605836)
  
imports: import random
  import unittest
  import math
  import string
  from functools import reduce
  from operator import mul
  from torch.testing._internal.common_utils import TestCase, TEST_SCIPY, skipIfNoLapack, skipIfTorchDynamo, run_tests
  import torch
  import torch.nn.init
  import torch.nn.functional
label_desc: Use image node_id 9 for calling the TestNNInit obj's underlying member method code with example usage: obj.test_calculate_gain_leaky_relu() without return types