code: def uniform_weights(objects: list) -> List[float]:
      """
      Return uniform weights for a list of objects.
  
      >>> uniform_weights(["a", "b", "c", "d"])
      [0.25, 0.25, 0.25, 0.25]
  
      Parameters
      ----------
      objects
          Objects that need to be weighted.
  
      Returns
      -------
      List[float]
          List of weights.
      """
      return [1.0 / len(objects)] * len(objects)
  
imports: from typing import List, Optional
  from mxnet.gluon import nn
  from mxnet.gluon.loss import Loss
  from gluonts.core.component import validated
  from gluonts.mx import Tensor
label_desc: Use image node_id 1 for calling a global function with example usage: uniform_weights(objects) and returns: unknown