code: def setup(self, batch_size, n_atoms, v_range):
      self.batch_size = batch_size
      self.n_atoms = n_atoms
      self.v_range = v_range
  
imports: import unittest
  import basetest_dqn_like
  import numpy
  import pytest
  import torch
  from basetest_training import _TestBatchTrainingMixin
  import pfrl
  from pfrl.agents import CategoricalDQN, categorical_dqn
  from pfrl.agents.categorical_dqn import compute_value_loss, compute_weighted_value_loss
label_desc: Use image node_id 1 for calling the TestApplyCategoricalProjectionToRandomCases obj's underlying member method code with example usage: obj.setup(batch_size, n_atoms, v_range) without return types