Problem:
Problem F: Marked Ancestor

You are given a tree T that consists of N nodes. Each node is numbered from 1 to N, and node 1 is always the root node of T. Consider the following two operations on T:

M v: (Mark) Mark node v.

Q v: (Query) Print the index of the nearest marked ancestor of node v which is nearest to it. Initially, only the root node is marked. Note that a node is an ancestor of itself.

Your job is to write a program that performs a sequence of these operations on a given tree and calculates
the value that each Q operation will print. To avoid too large output file, your program is requested to
print the sum of the outputs of all query operations. Note that the judges confirmed that it is possible to
calculate every output of query operations in a given sequence.

Input

The input consists of multiple datasets. Each dataset has the following format:

The first line of the input contains two integers N and Q, which denotes the number of nodes in the tree
T and the number of operations, respectively. These numbers meet the following conditions: 1 ≤ N ≤ 100000 and 1 ≤ Q ≤ 100000.

The following N - 1 lines describe the configuration of the tree T. Each line contains a single integer pi (i = 2, ... , N), which represents the index of the parent of i-th node.

The next Q lines contain operations in order. Each operation is formatted as "M v" or "Q v", where v is the index of a node.

The last dataset is followed by a line containing two zeros. This line is not a part of any dataset and should not be processed.

Output

For each dataset, print the sum of the outputs of all query operations in one line.

Sample Input

6 3
1
1
2
3
3
Q 5
M 3
Q 5
0 0

Output for the Sample Input

4

Solution in Ruby (judge verdict: Wrong Answer)

module Graphical
	require 'set'

	def reachable_from(s, max_depth = nil)
		reached = Set[s]
		queue = [s]
		depth = 0
		loop {
			break if max_depth && depth >= max_depth
			next_queue = []
			until queue.empty?
				u = queue.shift
				each_out_connection_of(u){|v, _|
					next if reached.include?(v)
					reached << v
					next_queue << v
				}
			end
			break if next_queue.empty?
			queue = next_queue
			depth += 1
		}
		return reached
	end

	def bfs(start)
		raise "start must be Enumerable" if !start.kind_of?(Enumerable)
		reached = Set[*start.to_a]
		queue = []
		start.each{|s| queue << s}
		dist = {}
		loop.with_index {|_, depth|
			next_queue = []
			until queue.empty?
				u = queue.shift
				return depth if block_given? && yield(u, depth)
				dist[u] = depth
				each_out_connection_of(u){|v, _|
					next if reached.include?(v)
					reached << v
					next_queue << v
				}
			end
			break if next_queue.empty?
			queue = next_queue
		}
		return dist
	end

	def dijkstra(start)
		raise "start must be Enumerable" if !start.kind_of?(Enumerable)
		h = Heap.new
		reached = Set[*start.to_a]
		start.each{|s| h.add(s, 0)}

		dist = {}
		until h.empty?
			u, key = h.del_min
			return key if block_given? && yield(u, key)
			dist[u] = key
			each_out_connection_of(u){|v, l|
				d = dist[u] + l
				if reached.include?(v)
					h.update_key(v, d)
				else
					h.add(v, d)
					reached << v
				end
			}
		end
		block_given? ? nil : dist
	end

	def bidir_dijkstra(s, t)
		f_dist = {}
		b_dist = {}

		f_heap = Heap.new
		b_heap = Heap.new

		f_heap.add(s, 0)
		b_heap.add(t, 0)

		f_reached = Set[s]
		b_reached = Set[t]

		f_current_dist = b_current_dist = 0
		best = Float::INFINITY

		loop {
			if !f_heap.empty?
				u, key = f_heap.del_min
				f_dist[u] = key
				f_current_dist = key
				each_out_connection_of(u){|v, l|
					d = f_dist[u] + l
					if b_dist[v]
						path_len = d + b_dist[v]
						best = path_len if path_len < best
					end
					if f_reached.include?(v)
						f_heap.update_key(v, d)
					else
						f_heap.add(v, d)
						f_reached << v
					end
				}
			end

			if !b_heap.empty?
				u, key = b_heap.del_min
				b_dist[u] = key
				b_current_dist = key
				each_in_connection_of(u){|v, l|
					d = b_dist[u] + l
					if f_dist[v]
						path_len = d + f_dist[v]
						best = path_len if path_len < best
					end
					if b_reached.include?(v)
						b_heap.update_key(v, d)
					else
						b_heap.add(v, d)
						b_reached << v
					end
				}
			end

			return best if f_current_dist + b_current_dist >= best
			return nil if f_heap.empty? && b_heap.empty?
		}
	end

	def a_star(start)
		raise "a_star need termination condition" unless block_given?
		h = Heap.new
		reached = Set[start]
		h.add(start, [a_star_heuristic(start), 0])

		dist = {}
		until h.empty?
			u, (e, d) = h.del_min
			return d if yield(u, dist)
			dist[u] = d
			each_out_connection_of(u){|v, l|
				d = dist[u] + l
				e = d + a_star_heuristic(v)
				if reached.include?(v)
					h.update_key(v, [e, d])
				else
					h.add(v, [e, d])
					reached << v
				end
			}
		end
		block_given? ? nil : dist
	end

	#make_variations :bidir_dijkstra

	def prim(start)
		h = Heap.new
		h.add(start, 0)
		reached = Set[start]
		tree_len = 0

		until h.empty?
			u, key = h.del_min
			tree_len += key

			each_connection_of(u){|v, d|
				if reached.include?(v)
					h.update_key(v, d)
				else
					h.add(v, d)
					reached << v
				end
			}
		end
		tree_len
	end

	def each_layer_from(start)
		raise "start must be Enumerable" if !start.kind_of?(Enumerable)
		return enum_for(__method__, start) unless block_given?
		reached = Set[*start]
		current_layer = start

		loop {
			yield current_layer
			next_layer = []
			current_layer.each{|u|
				each_out_connection_of(u){|v|
					next if reached.include?(v)
					reached << v
					next_layer << v
				}
			}	

			return if next_layer.empty?
			current_layer = next_layer
		}
	end
end

class Graph
	include Graphical

	def initialize(*options)
		@options = Set[*options]
	end

	def add_node(property = {})
		Node.new(property)
	end

	def add_edge(u, v, property = {})
		e = Edge.new(u, v, property)
		u.add_edge(e)
		v.add_edge(e)
		e
	end
	
	def del_edge(e)
		u, v = e.opposite.keys
		u.del_edge(e)
		v.del_edge(e)
		e
	end

	class Node
		def initialize(property)
			@property = property
			@edges = Set.new
		end

		def add_edge(e)
			@edges << e
		end

		def del_edge(e)
			@edges.delete(e)
		end

		def to_s
			@property[:name] || super
		end

		def each_edge
			@edges.each{|e| 
				yield e
			}
		end

		attr_reader :property
	end

	class Edge
		def initialize(u, v, property)
			@opposite = {u => v, v => u}
			@property = property
		end
		attr_reader :opposite, :property

		def to_s
			@property[:name] || super
		end

		def length
			@property[:length] || 1
		end
	end

	def each_out_connection_of(u)
		u.each_edge{|e|
			yield(e.opposite[u], e.length)
		}
	end

	alias :each_in_connection_of :each_out_connection_of
end

class Digraph < Graph
	def add_node(property = {})
		Node.new(property)
	end

	def add_edge(u, v, property = {})
		e = Edge.new(u, v, property)
		u.add_out_edge(e)
		v.add_in_edge(e)
		e
	end
	
	def del_edge(e)
		u, v = e.from, e.to
		u.out_edges.delete(e)
		v.in_edges.delete(e)
		e
	end

	class Node < Graph::Node
		def initialize(property)
			@property = property
			@out_edges = Set.new
			@in_edges = Set.new
		end

		def add_out_edge(e)
			@out_edges << e
		end

		def del_out_edge(e)
			@out_edges.delete(e)
		end

		def add_in_edge(e)
			@in_edges << e
		end

		def del_in_edge(e)
			@in_edges.delete(e)
		end

		attr_reader :in_edges, :out_edges
	end

	class Edge < Graph::Edge
		def initialize(u, v, property)
			@from = u	
			@to = v
			@property = property
		end

		attr_reader :from, :to
	end

	def each_out_connection_of(u)
		u.out_edges.each{|e|
			yield [e.to, e.length]
		}
	end

	def each_in_connection_of(v)
		v.in_edges.each{|e|
			yield [e.from, e.length]
		}
	end

#----------------------------------------------------------

	def get_path_bfs(s, t)
		path_edge = {}
		reached = Set[s]
		queue = [s]
		while !queue.empty? 
			u = queue.shift
			u.outgoings.each{|e|
				v = e.to
				next if reached.include?(v)	
				reached << v
				queue << v
				path_edge[v] = e

				if v == t
					path = []
					while e = path_edge[v]
						path.unshift e
						v = e.from
					end
					return path
				end
			}
		end	
		return nil
	end

	def get_path_dfs(s, t, reached = Set.new)
		reached << s	
		s.outgoings.each{|e|
			v = e.to
			next if reached.include?(v)
			return [e] if v == t
			
			path = get_path_dfs(v, t, reached) 
			return [e] + path if path
		}
		nil
	end

end

class Path
	def initialize(root)
		@nodes = [root]
		@marked = 0
		@parent = nil
		@index = {root => 0}
	end

	def add(node)
		@nodes << node	
		@index[node] = @index.size
		@marked <<= 1
	end

	def query(v)
		i = @index[v]
		x = (@marked >> @nodes.size-i-1)
		if x == 0
			p_path, p_node = @parent
			return nil if !p_path
			p_path.query(p_node)
		else
			j = (x ^ (x - 1)).to_s(2).size
			@nodes[i - j + 1]
		end
	end

	def mark(v)
		i = @index[v]
		@marked |= (1 << @nodes.size-i-1)
	end

	def to_s
		@nodes.to_s
	end

	attr_accessor :parent
	attr_reader :nodes
end

n, q = gets.split.map &:to_i
g = Digraph.new

nodes = (0..n).map{|i| g.add_node({:name => i, :tree_size => 1})}
(2..n).each{|j|
	i = gets.to_i
	g.add_edge(nodes[i], nodes[j])
}

nodes.reverse.each{|v|
	v.in_edges.each{|e|
		u = e.from
		u.property[:tree_size] += v.property[:tree_size]
	}
}

def decompose(start)
	u = start
	paths = [Path.new(u)]
	while u.out_edges.size > 0
		e0 = u.out_edges.max_by{|e| e.to.property[:tree_size]}
		u.out_edges.each{|e|
			next if e == e0
			sub_paths = decompose(e.to)
			sub_paths[0].parent = [paths[0], u] 
			paths += sub_paths
		}
		paths[0].add(e0.to)
		u = e0.to
	end
	paths
end

paths = decompose(nodes[1])
belong = {}
paths.each{|path|
	path.nodes.each{|v|
		belong[v] = path
	}
}
paths[0].mark(nodes[1])

sum = 0
q.times {
	c, i = gets.chomp.split
	i = i.to_i
	if c == ?Q
		v = belong[nodes[i]].query(nodes[i])
		sum += v.property[:name]
	else
		belong[nodes[i]].mark(nodes[i])
	end
}