code: def __init__(self):
      assert "numpy" in sys.modules
      # This class provides a shim that matches the numpy to stdlib random,
      # and lets us avoid importing Numpy until it's already in use.
      import numpy.random
  
      self.seed = numpy.random.seed
      self.getstate = numpy.random.get_state
      self.setstate = numpy.random.set_state
  
file_path: catboost/contrib/python/hypothesis/py2/hypothesis/internal/entropy.py
imports: from __future__ import absolute_import, division, print_function
  import contextlib
  import random
  import sys
  from hypothesis.errors import InvalidArgument
  from hypothesis.internal.compat import integer_types
label_desc: Use image node_id 1 to create a new NumpyRandomWrapper object from inherited base classes: object with example: obj = NumpyRandomWrapper()