code: def collate_strategies(self) -> List[ShardingStrategy]:
      strategies = []
  
      if self.solver_perference == SolverPerference.STANDARD:
          strategies.extend(self.dp_strategies())
          strategies.extend(self.tp_strategies())
          strategies.extend(self.mix_strategies())
      elif self.solver_perference == SolverPerference.DP:
          strategies.extend(self.dp_strategies())
      elif self.solver_perference == SolverPerference.TP:
          strategies.extend(self.tp_strategies())
  
      return strategies
  
imports: import operator
  from functools import reduce
  from typing import List
  from colossalai.auto_parallel.tensor_shard.options import SolverPerference
  from colossalai.auto_parallel.tensor_shard.sharding_strategy import CommType, MemoryCost, ShardingStrategy, TrainCycleItem
  from colossalai.auto_parallel.tensor_shard.utils import ignore_sharding_exception
  from colossalai.tensor.shape_consistency import CollectiveCommPattern
  from .strategy_generator import StrategyGenerator
label_desc: Use image node_id 6 for calling the LinearProjectionStrategyGenerator obj's underlying member method code with example usage: obj.collate_strategies() and returns: strategies