code: def make_numpy_compatible(s):
      return s if not isinstance(s, arrays.ndarray) else s.data.numpy()
  
file_path: trax/trax/tf_numpy/numpy_impl/tests/logic_test.py
imports: import numpy
  import tensorflow.compat.v2
  from trax.tf_numpy.numpy_impl import array_ops
  from trax.tf_numpy.numpy_impl import arrays
  from trax.tf_numpy.numpy_impl import math_ops
label_desc: Use image node_id 1 for calling a global function with example usage: make_numpy_compatible(s) and returns: unknown