code: def train_data_store(cls, value):
      value = value.upper()
      import re
  
      assert (
          value == "DRAM"
          or value == "PMEM"
          or re.match("DISK_\d+", value)
      ), "train_data_store must be either DRAM or PMEM or DIRECT or DISK_n"
      cls._train_data_store = value
  
imports: import os
  from zoo import ZooContext
label_desc: Use image node_id 10 for calling the OrcaContextMeta obj's underlying member method code with example usage: obj.train_data_store(cls, value) without return types