code: def find_optional_packages():
      module_name = "xgboost"
      try:
          import xgboost as xgb
  
          estimator_map["XGB"] = xgb.XGBClassifier
          estimator_map["XGBM"] = xgb.XGBClassifier
          estimator_map["XGBR"] = xgb.XGBRegressor
      except:
          logger.info("Cannot load %s" % module_name)
  
      module_name = "lightgbm"
      try:
          import lightgbm as lgb
  
          estimator_map["LGB"] = lgb.LGBMClassifier
          estimator_map["LGBR"] = lgb.LGBMRegressor
      except:
          logger.info("Cannot load %s" % module_name)
  
      module_name = "catboost"
      try:
          import catboost as catb
  
          estimator_map["CATB"] = catb.CatBoostClassifier
          estimator_map["CATBR"] = catb.CatBoostRegressor
      except:
          logger.info("Cannot load %s" % module_name)
  
      return
  
imports: from alphapy.globals import ModelType
  from alphapy.globals import Objective
  from alphapy.globals import SSEP
  from keras.layers import *
  from keras.models import Sequential
  from keras.wrappers.scikit_learn import KerasClassifier
  from keras.wrappers.scikit_learn import KerasRegressor
  import logging
  import numpy
  from scipy.stats import randint
  from sklearn.ensemble import AdaBoostClassifier
  from sklearn.ensemble import ExtraTreesClassifier
  from sklearn.ensemble import ExtraTreesRegressor
  from sklearn.ensemble import GradientBoostingClassifier
  from sklearn.ensemble import GradientBoostingRegressor
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.ensemble import RandomForestRegressor
  from sklearn.linear_model import LinearRegression
  from sklearn.linear_model import LogisticRegression
  from sklearn.naive_bayes import MultinomialNB
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.neighbors import KNeighborsRegressor
  from sklearn.svm import LinearSVC
  from sklearn.svm import SVC
  import sys
  import yaml
label_desc: Use image node_id 1 for calling a global function with example usage: find_optional_packages() without return types