code: def arange_like(
      data, start=0.0, step=1.0, repeat=1, ctx=None, axis=None
  ):
      r"""Return an array with evenly spaced values. If axis is not given, the output will
      have the same shape as the input array. Otherwise, the output will be a 1-D array with size of
      the specified axis in input shape.
  
      Parameters
      ----------
      data : NDArray
          The input
      start : double, optional, default=0
          Start of interval. The interval includes this value. The default start value is 0.
      step : double, optional, default=1
          Spacing between values.
      repeat : int, optional, default='1'
          The repeating time of all elements.
          E.g repeat=3, the element a will be repeated three times --> a, a, a.
      ctx : string, optional, default=''
          Context of output, in format [cpu|gpu|cpu_pinned](n).Only used for imperative calls.
      axis : int or None, optional, default='None'
          Arange elements according to the size of a certain axis of input array.
          The negative numbers are interpreted counting from the backward.
          If not provided, will arange elements according to the input shape.
  
      Returns
      -------
      out : NDArray or list of NDArrays
          The output of this function.
  
      Example
      -------
      >>> x = np.random.uniform(0, 1, size=(3,4))
      >>> x
      array([[0.5488135 , 0.5928446 , 0.71518934, 0.84426576],
             [0.60276335, 0.8579456 , 0.5448832 , 0.8472517 ],
             [0.4236548 , 0.6235637 , 0.6458941 , 0.3843817 ]])
      >>> npx.arange_like(x, start=0)
      array([[ 0.,  1.,  2.,  3.],
             [ 4.,  5.,  6.,  7.],
             [ 8.,  9., 10., 11.]])
      >>> npx.arange_like(x, start=0, axis=-1)
      array([0., 1., 2., 3.])
      """
      return _api_internal.arange_like(
          data, start, step, repeat, ctx, axis
      )
  
imports: import numpy
  from .._internal import NDArrayBase
  from .None import _api_internal
  from ...util import set_module
  from ..ndarray import get_dtype_name
label_desc: Use image node_id 21 for calling a global function with example usage: arange_like(data, start, step, repeat, ctx, axis) and returns: _api_internal