code: def test_pnn_repr(self):
      pnn = algorithms.PNN(std=0.1)
  
      self.assertIn("PNN", str(pnn))
      self.assertIn("std", str(pnn))
      self.assertIn("batch_size", str(pnn))
  
file_path: neupy/tests/algorithms/rbfn/test_pnn.py
imports: from __future__ import division
  import numpy
  from sklearn import datasets
  from sklearn import metrics
  from sklearn.model_selection import StratifiedKFold, train_test_split
  from neupy import algorithms
  from neupy.exceptions import NotTrained
  from base import BaseTestCase
label_desc: Use image node_id 8 for calling the PNNTestCase obj's underlying member method code with example usage: obj.test_pnn_repr() without return types