code: def _runner(
      self,
      init,
      shape,
      target_mean=None,
      target_std=None,
      target_max=None,
      target_min=None,
  ):
      output = self.evaluate(init(shape))
      self.assertEqual(output.shape, shape)
      lim = 3e-2
      if target_std is not None:
          self.assertGreater(lim, abs(output.std() - target_std))
      if target_mean is not None:
          self.assertGreater(lim, abs(output.mean() - target_mean))
      if target_max is not None:
          self.assertGreater(lim, abs(output.max() - target_max))
      if target_min is not None:
          self.assertGreater(lim, abs(output.min() - target_min))
  
imports: import numpy
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import init_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 1 for calling the InitializersTest obj's underlying member method code with example usage: obj._runner(init, shape, target_mean, target_std, target_max, target_min) without return types