class_docstr: A fake discrete environement with constant reward of 1.
class_docstr_tok: ["A","fake","discrete","environement","with","constant","reward","of","1","."]
code: def _generate_fake_reward(self) -> Any:
      return tree.map_structure(
          lambda s: s.generate_value() + 1.0, self._spec.rewards
      )
  
file_path: acme/acme/wrappers/delayed_reward_test.py
imports: from typing import Any
  from acme import wrappers
  from acme.testing import fakes
  from dm_env import specs
  import numpy
  import tree
  from absl.testing import absltest
  from absl.testing import parameterized
label_desc: Use image node_id 1 for calling the _DiscreteEnvironmentOneReward obj's underlying member method code with example usage: obj._generate_fake_reward() and returns: tree