code: def track(self, data: Dict[str, SeriesModel]):
      res: Dict[str, SeriesModel] = {}
      for ind, s in data.items():
          ind_type = ind.split(".")[0]
          if ind_type == COMPUTEREnums.MEMORY:
              res[ind] = s
  
      self.memory.track(res, keep_last_24h=True)
  
imports: from typing import Dict, Any
  from fastapi import Request
  from fastapi.responses import JSONResponse
  from labml_db import Model, Index
  from labml_db.serializer.pickle import PickleSerializer
  from labml_db.serializer.yaml import YamlSerializer
  from labml_app.logger import logger
  from labml_app.enums import COMPUTEREnums
  from ..analysis import Analysis
  from ..series import SeriesModel, Series
  from ..series_collection import SeriesCollection
  from ..preferences import Preferences
  from ..None import helper
label_desc: Use image node_id 2 for calling the MemoryAnalysis obj's underlying member method code with example usage: obj.track(data) without return types