code: def compute_sigmoid_bias(probability: float) -> float:
      """Compute the bias value for a sigmoid activation function
      such as in multi-binary action spaces (Bernoulli distributions).
  
      :param probability: The desired selection probability.
      :return: The respective bias value.
      """
      return np.log(probability) - np.log(1.0 - probability)
  
file_path: maze/maze/perception/weight_init.py
imports: from typing import Callable
  import numpy
  import torch
  import torch.nn
  from maze.perception.blocks.feed_forward.graph_attention import GraphAttentionLayer
  from maze.perception.blocks.feed_forward.graph_conv import GraphConvLayer, GraphConvBlock
label_desc: Use image node_id 3 for calling a global function with example usage: compute_sigmoid_bias(probability) and returns: unknown