code: def sigmoid(x: np.ndarray, derivative: bool = False) -> np.ndarray:
      """
      Returns the sigmoid function applied to x.
      Alternatively, can return the derivative or the sigmoid function.
  
      Args:
          x: The input to the sigmoid function.
          derivative: Whether to return the derivative or not.
              Default: False.
  
      Returns:
          The sigmoid function (or its derivative) applied to x.
      """
      if derivative:
          return x * (1 - x)
      else:
          return 1 / (1 + np.exp(-x))
  
imports: from collections import OrderedDict
  from gymnasium.spaces import Discrete, MultiDiscrete
  import numpy
  import tree
  from types import MappingProxyType
  from typing import List, Optional
  from ray.rllib.utils.annotations import PublicAPI
  from ray.rllib.utils.deprecation import Deprecated
  from ray.rllib.utils.framework import try_import_tf, try_import_torch
  from ray.rllib.utils.typing import SpaceStruct, TensorType, TensorStructType, Union
label_desc: Use image node_id 13 for calling a global function with example usage: sigmoid(x, derivative) and returns: unknown, unknown