code: def test_variables_are_enumerated(self):
      layer = signal_conv.SignalConv2D(3, 1, use_bias=True)
      layer.build((None, None, None, 2))
      self.assertLen(layer.weights, 3)
      self.assertLen(layer.trainable_weights, 3)
      weight_names = [w.name for w in layer.weights]
      self.assertSameElements(
          weight_names, ["kernel_real:0", "kernel_imag:0", "bias:0"]
      )
  
imports: import os
  from absl.testing import parameterized
  import numpy
  import scipy.signal
  import tensorflow
  from tensorflow_compression.python.layers import initializers
  from tensorflow_compression.python.layers import parameters
  from tensorflow_compression.python.layers import signal_conv
label_desc: Use image node_id 2 for calling the SignalConvTest obj's underlying member method code with example usage: obj.test_variables_are_enumerated() without return types