class_docstr: Dask-Array version of ``DaskBackendEntrypoint``
  
  See Also
  --------
  NumpyBackendEntrypoint
class_docstr_tok: ["Dask-Array","version","of","``","DaskBackendEntrypoint","``","See","Also","--","--","--","--","NumpyBackendEntrypoint"]
docstr: Return the backend-specific RandomState class
  
  For example, the 'numpy' backend simply returns
  ``numpy.random.RandomState``.
docstr_tok: ["Return","the","backend-specific","RandomState","class","For","example",",","the","'numpy","'","backend","simply","returns","``","numpy.random.RandomState","``","."]
code: def RandomState(self):
      """Return the backend-specific RandomState class
  
      For example, the 'numpy' backend simply returns
      ``numpy.random.RandomState``.
      """
      raise NotImplementedError
  
imports: from __future__ import annotations
  import math
  import numpy
  from dask.array import chunk
  from dask.array.core import Array
  from dask.array.dispatch import concatenate_lookup, divide_lookup, einsum_lookup, empty_lookup, nannumel_lookup, numel_lookup, percentile_lookup, tensordot_lookup, to_cupy_dispatch, to_numpy_dispatch
  from dask.array.numpy_compat import divide
  from dask.array.numpy_compat import ma_divide
  from dask.array.percentile import _percentile
  from dask.backends import CreationDispatch, DaskBackendEntrypoint
label_desc: Use image node_id 1 for calling the ArrayBackendEntrypoint obj's underlying member method code with example usage: obj.RandomState() without return types