class_docstr: FeatureStorage that asynchronously reads features from a ``numpy.memmap`` object.
code: def __init__(self, arr):
      self.arr = arr
  
file_path: dgl/python/dgl/storages/numpy.py
imports: import numpy
  from ..None import backend
  from .base import FeatureStorage, register_storage_wrapper, ThreadedFuture
label_desc: Use image node_id 1 to create a new NumpyStorage object from inherited base classes: FeatureStorage with example: obj = NumpyStorage(arr)