code: def normed_ds():
      np.random.seed(seed=0)
      ds = np.random.normal(size=(100, 2)).astype("float32")
      return ds / np.linalg.norm(ds, axis=1, keepdims=True)
  
imports: import pytest
  import numpy
  import torch.nn
  import torch
  import tensorflow
  from tensorflow import keras
  from alibi.explainers.similarity.grad import GradientSimilarity
label_desc: Use image node_id 4 for calling a global function with example usage: normed_ds() and returns: unknown