code: def _make_fake_env() -> dm_env.Environment:
      env_spec = specs.EnvironmentSpec(
          observations=specs.Array(shape=(10, 5), dtype=np.float32),
          actions=specs.BoundedArray(
              shape=(1,), dtype=np.float32, minimum=-10.0, maximum=10.0
          ),
          rewards=specs.Array(shape=(), dtype=np.float32),
          discounts=specs.BoundedArray(
              shape=(), dtype=np.float32, minimum=0.0, maximum=1.0
          ),
      )
      return fakes.Environment(env_spec, episode_length=10)
  
file_path: acme/acme/utils/observers/action_norm_test.py
imports: from acme import specs
  from acme.testing import fakes
  from acme.utils.observers import action_norm
  import dm_env
  import numpy
  from absl.testing import absltest
label_desc: Use image node_id 1 for calling a global function with example usage: _make_fake_env() and returns: fakes