code: def test_FerminetElectronFeature():
      "Test for FerminetElectronFeature layer."
      electron_layer = (
          dc.models.torch_models.layers.FerminetElectronFeature(
              [32, 32, 32], [16, 16, 16], 4, 8, 10, [5, 5]
          )
      )
      one_electron_test = torch.randn(8, 10, 4 * 4)
      two_electron_test = torch.randn(8, 10, 10, 4)
      one, two = electron_layer.forward(
          one_electron_test, two_electron_test
      )
      assert one.size() == torch.Size([8, 10, 32])
      assert two.size() == torch.Size([8, 10, 10, 16])
  
imports: import deepchem
  import numpy
  import pytest
  import os
label_desc: Use image node_id 59 for calling a global function with example usage: test_FerminetElectronFeature() without return types