code: def test_np_array_memory_not_shared(self):
      # An arbitrarily large loop number to test memory sharing
      for _ in range(10000):
          x = np.arange(10)
          xt = constant_op.constant(x)
          x[3] = 42
          # Changing the input array after `xt` is created should not affect `xt`
          self.assertEqual(xt.numpy()[3], 3)
  
imports: from absl.testing import parameterized
  import numpy
  from google.protobuf import text_format
  from tensorflow.core.framework import graph_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import flexible_dtypes
  from tensorflow.python.framework import importer
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.framework import test_util
  from tensorflow.python.framework.weak_tensor import WeakTensor
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops import weak_tensor_ops
  from tensorflow.python.ops import weak_tensor_test_util
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 13 for calling the WeakTensorConstantOpTest obj's underlying member method code with example usage: obj.test_np_array_memory_not_shared() without return types