code: def test_GraphConvolution_config():
      _, _, a = get_timeseries_graph_data()
  
      gc_layer = FixedAdjacencyGraphConvolution(
          units=10, A=a, activation="relu"
      )
      conf = gc_layer.get_config()
  
      assert conf["units"] == 10
      assert conf["activation"] == "relu"
      assert conf["use_bias"] == True
      assert conf["kernel_initializer"]["class_name"] == "GlorotUniform"
      assert conf["bias_initializer"]["class_name"] == "Zeros"
      assert conf["kernel_regularizer"] == None
      assert conf["bias_regularizer"] == None
      assert conf["kernel_constraint"] == None
      assert conf["bias_constraint"] == None
  
imports: import numpy
  import pandas
  import pytest
  from tensorflow.keras import Model
  from stellargraph import StellarGraph, IndexedArray
  from stellargraph.layer import GCN_LSTM
  from stellargraph.layer import FixedAdjacencyGraphConvolution
  from stellargraph.mapper import SlidingFeaturesNodeGenerator
  from ..None import test_utils
label_desc: Use image node_id 2 for calling a global function with example usage: test_GraphConvolution_config() without return types