code: def _shaped_arange(*shape):
      """Runs np.arange, converts to float and reshapes."""
      return np.arange(int(np.prod(shape)), dtype=np.float32).reshape(
          *shape
      )
  
file_path: maze/maze/test/train/impala/test_vtrace.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import gym
  import numpy
  from maze.distributions.distribution_mapper import DistributionMapper
  from maze.perception.perception_utils import convert_to_torch
  from maze.train.trainers.impala import impala_vtrace
label_desc: Use image node_id 1 for calling a global function with example usage: _shaped_arange() and returns: np