code: def log_grow_transition_ratio(
      self, tree: Tree, mutation: GrowMutation
  ):
      prob_prune_selected = -np.log(n_prunable_decision_nodes(tree) + 1)
      prob_grow_selected = log_probability_split_within_tree(
          tree, mutation
      )
  
      prob_selection_ratio = prob_prune_selected - prob_grow_selected
      prune_grow_ratio = np.log(
          self.prob_method[1] / self.prob_method[0]
      )
  
      numerator = prob_prune_selected
      denominator = prob_grow_selected
  
      # return prune_grow_ratio + prob_selection_ratio
      return numerator - denominator, (numerator, denominator)
  
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 7 for calling the UniformTreeMutationLikelihoodRatio obj's underlying member method code with example usage: obj.log_grow_transition_ratio(tree, mutation) and returns: unknown,  numerator,  denominator