class_docstr: Dask-Array version of ``DaskBackendEntrypoint``
  
  See Also
  --------
  NumpyBackendEntrypoint
class_docstr_tok: ["Dask-Array","version","of","``","DaskBackendEntrypoint","``","See","Also","--","--","--","--","NumpyBackendEntrypoint"]
docstr: Create an array of ones
  
  Returns a new array having a specified shape and filled
  with ones.
docstr_tok: ["Create","an","array","of","ones","Returns","a","new","array","having","a","specified","shape","and","filled","with","ones","."]
code: def ones(shape, *, dtype=None, meta=None, **kwargs):
      """Create an array of ones
  
      Returns a new array having a specified shape and filled
      with ones.
      """
      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 3 for calling the ArrayBackendEntrypoint obj's underlying member method code with example usage: obj.ones(shape) without return types