code: def test_gcn_lstm_model_parameters():
      fx, fy, a = get_timeseries_graph_data()
  
      gcn_lstm_model = GCN_LSTM(
          seq_len=fx.shape[-2],
          adj=a,
          gc_layer_sizes=[2, 2],
          gc_activations=["relu", "relu"],
          lstm_layer_sizes=[10],
          lstm_activations=["tanh"],
      )
      assert gcn_lstm_model.gc_activations == ["relu", "relu"]
      assert gcn_lstm_model.dropout == 0.5
      assert gcn_lstm_model.lstm_activations == ["tanh"]
      assert gcn_lstm_model.lstm_layer_sizes == [10]
      assert len(gcn_lstm_model.lstm_layer_sizes) == len(
          gcn_lstm_model.lstm_activations
      )
  
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 3 for calling a global function with example usage: test_gcn_lstm_model_parameters() without return types