code: def _check_encrypt_kit(self, ctx: Context):
      if self._encrypt_kit is None:
          # make sure cipher is initialized
          kit = ctx.cipher.phe.setup()
          self._encrypt_kit = kit
  
      if not self._encrypt_kit.can_support_negative_number:
          self._gh_pack = True
          logger.info(
              "current encrypt method cannot support neg num, gh pack is forced to be True"
          )
      if not self._encrypt_kit.can_support_squeeze:
          self._split_info_pack = False
          logger.info(
              "current encrypt method cannot support compress, split info pack is forced to be False"
          )
      if not self._encrypt_kit.can_support_pack:
          self._gh_pack = False
          self._split_info_pack = False
          logger.info(
              "current encrypt method cannot support pack, gh pack is forced to be False"
          )
      return kit
  
imports: import numpy
  import pandas
  from typing import Optional, Union
  from fate.arch import Context
  from fate.arch.dataframe import DataFrame
  from fate.ml.ensemble.algo.secureboost.hetero._base import HeteroBoostingTree
  from fate.ml.ensemble.learner.decision_tree.hetero.guest import HeteroDecisionTreeGuest
  from fate.ml.ensemble.utils.binning import binning
  from fate.ml.ensemble.learner.decision_tree.tree_core.loss import OBJECTIVE, get_task_info, MULTI_CE, BINARY_BCE, REGRESSION_L2
  from fate.ml.ensemble.algo.secureboost.common.predict import predict_leaf_guest
  from fate.ml.utils.predict_tools import compute_predict_details, PREDICT_SCORE, BINARY, MULTI, REGRESSION
  from fate.ml.ensemble.learner.decision_tree.tree_core.decision_tree import GUEST_FEAT_ONLY, ALL_FEAT
  from fate.ml.ensemble.utils.sample import goss_sample
  import logging
label_desc: Use image node_id 2 for calling the HeteroSecureBoostGuest obj's underlying member method code with example usage: obj._check_encrypt_kit(ctx) and returns: kit