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/dqfd/agent_test.py
imports: import acme
  from acme import specs
  from acme.agents.tf.dqfd import agent
  from acme.agents.tf.dqfd import bsuite_demonstrations
  from acme.testing import fakes
  import dm_env
  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