class_docstr: Wraps a NumPy array for storage in an object-based checkpoint.
class_docstr_tok: ["Wraps","a","NumPy","array","for","storage","in","an","object-based","checkpoint","."]
docstr: Callback to deserialize the array.
docstr_tok: ["Callback","to","deserialize","the","array","."]
code: def deserialize(self, string_value):
      """Callback to deserialize the array."""
      string_file = io.BytesIO(string_value)
      try:
          self.array = numpy.load(
              string_file, allow_pickle=False
          )  # pylint: disable=unexpected-keyword-arg
      finally:
          string_file.close()
  
imports: import io
  import os
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.client import session
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.module import module
  from tensorflow.python.platform import test
  from tensorflow.python.trackable import python_state
label_desc: Use image node_id 3 for calling the _NumpyWrapper obj's underlying member method code with example usage: obj.deserialize(string_value) without return types