class_docstr: Dask-Array version of ``DaskBackendEntrypoint``
  
  See Also
  --------
  NumpyBackendEntrypoint
class_docstr_tok: ["Dask-Array","version","of","``","DaskBackendEntrypoint","``","See","Also","--","--","--","--","NumpyBackendEntrypoint"]
docstr: Create an ascending or descending array
  
  Returns evenly spaced values within the half-open interval
  ``[start, stop)`` as a one-dimensional array.
docstr_tok: ["Create","an","ascending","or","descending","array","Returns","evenly","spaced","values","within","the","half-open","interval","``","[","start",",","stop",")","``","as","a","one-dimensional","array","."]
code: def arange(
      start, /, stop=None, step=1, *, dtype=None, meta=None, **kwargs
  ):
      """Create an ascending or descending array
  
      Returns evenly spaced values within the half-open interval
      ``[start, stop)`` as a one-dimensional array.
      """
      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 7 for calling the ArrayBackendEntrypoint obj's underlying member method code with example usage: obj.arange(stop, step) without return types