code: def log_likelihood_ratio_grow(model: Model, proposal: TreeMutation):
      return log_grow_ratio(
          proposal.existing_node,
          proposal.updated_node.left_child,
          proposal.updated_node.right_child,
          model.sigma,
          model.sigma_m,
      )
  
imports: from typing import List
  import numpy
  from ...model import Model
  from ...mutation import TreeMutation, GrowMutation, PruneMutation
  from ...node import LeafNode, TreeNode
  from ...samplers.treemutation import TreeMutationLikelihoodRatio
  from ...sigma import Sigma
  from ...tree import Tree
label_desc: Use image node_id 5 for calling the UniformTreeMutationLikelihoodRatio obj's underlying member method code with example usage: obj.log_likelihood_ratio_grow(model, proposal) and returns: log_grow_ratio