old_contents: 
  import commons, sys, os
  import logging as log
  import pandas as pd
  import xgboost as xgb
  import numpy as np
  from sklearn.externals import joblib
  from sklearn.model_selection import train_test_split
  from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, classification_report, confusion_matrix
  
  
new_contents: 
  import commons, sys, os
  import logging as log
  import pandas as pd
  import xgboost as xgb
  import numpy as np
  from sklearn.externals import joblib
  from sklearn.model_selection import train_test_split
  from sklearn.metrics import accuracy_score, f1_score, precision_score, recall_score, classification_report, confusion_matrix
  
  def add_activations(df):
      for ind in commons.indicators:
          log.info("Adding activations for {}".format(ind))
          ind_prev = ind + "_1"
          res = df[ind].sub(df[ind_prev])
          res[res < 0] = 0
          df["act_" + ind] = res.fillna(0)
  return df
  
subject: Update 02-02_cleanse.py