code: def insert_input(self, new_input: TestInput):
      new_input_hash = hash(str(new_input))
      if new_input_hash in self.seed_hash:
          return
      self.seed_pool.append(new_input)
      self.seed_pool.sort(key=lambda x: x.fluctuate_ratio)
      self.seed_hash.add(new_input_hash)
  
      if len(self.seed_pool) > MAX_SEED_POOL:
          self.seed_pool.sort(key=lambda x: x.fluctuate_ratio)
          for i in range(len(self.seed_pool)):
              self.seed_pool[i].rank_sd = i + 1
          self.seed_pool.sort(key=lambda x: -x.sz)
          for i in range(len(self.seed_pool)):
              self.seed_pool[i].rank_sz = i + 1
          self.seed_pool.sort(key=lambda x: x.rank)
          seed_deleted = self.seed_pool[-1]
          self.seed_hash.remove(hash(str(seed_deleted)))
          self.seed_pool = self.seed_pool[:-1]
  
imports: import copy
  import math
  import random
  import string
  from typing import Any, Dict, List, Optional, Set, Tuple
  from multipledispatch import dispatch
  from rich.progress import track
  from evalplus._experimental.evaluate_runtime import MAX_WARMUP_LIMIT, RUN_REPEAT, execute_for_runtime
  from evalplus.gen.mut_gen import MutateGen
label_desc: Use image node_id 2 for calling the TypedMutEffGen obj's underlying member method code with example usage: obj.insert_input(new_input) without return types