code: def _make_network(action_spec: specs.DiscreteArray) -> snt.Module:
      return snt.Sequential(
          [
              snt.Flatten(),
              snt.nets.MLP([50, 50, action_spec.num_values]),
          ]
      )
  
file_path: acme/acme/agents/tf/bcq/discrete_learning_test.py
imports: from acme import specs
  from acme.agents.tf import bcq
  from acme.testing import fakes
  from acme.tf import utils
  from acme.tf.networks import discrete
  from acme.utils import counting
  import numpy
  import sonnet
  from absl.testing import absltest
label_desc: Use image node_id 1 for calling a global function with example usage: _make_network(action_spec) and returns: snt