code: def indices(dimensions, dtype=int, sparse=False):
      dimensions = tuple(dimensions)
      N = len(dimensions)
      shape = (1,) * N
      if sparse:
          res = ()
      else:
          res = ivy.empty((N,) + dimensions, dtype=dtype)
      for i, dim in enumerate(dimensions):
          idx = ivy.arange(dim, dtype=dtype).reshape(
              shape[:i] + (dim,) + shape[i + 1 :]
          )
          if sparse:
              res = res + (idx,)
          else:
              res[i] = idx
      return res
  
file_path: ivy/ivy/functional/frontends/numpy/indexing_routines/indexing_like_operations.py
imports: import ivy
  from ivy.functional.frontends.numpy.func_wrapper import to_ivy_arrays_and_back, inputs_to_ivy_arrays, handle_numpy_out
label_desc: Use image node_id 5 for calling a global function with example usage: indices(dimensions, dtype, sparse) and returns: res