Interactive Subtree Algorithm Learning

Example Solution:

function fuzzySubtree(root, subRoot, maxDifferences = 1) {
                      if (!subRoot) return true;
                      if (!root) return false;
                      
                      // Check if current trees fuzzy match
                      if (fuzzySameTree(root, subRoot, maxDifferences)) return true;
                      
                      // Recursive search in left and right subtrees
                      return fuzzySubtree(root.left, subRoot, maxDifferences) || 
                             fuzzySubtree(root.right, subRoot, maxDifferences);
                    }
                    
                    function fuzzySameTree(p, q, maxDifferences, differences = 0) {
                      // Base cases
                      if (!p && !q) return true;
                      if (!p || !q) return false;
                      
                      // Value comparison - allow differences up to maxDifferences
                      if (p.val !== q.val) {
                        differences++;
                        if (differences > maxDifferences) return false;
                      }
                      
                      // Check both subtrees recursively, passing the current difference count
                      return fuzzySameTree(p.left, q.left, maxDifferences, differences) && 
                             fuzzySameTree(p.right, q.right, maxDifferences, differences);
                    }