code: def lr_schedule(epoch, lr):
      """Helper function to retrieve the scheduled learning rate based on epoch."""
      if epoch < LR_SCHEDULE[0][0] or epoch > LR_SCHEDULE[-1][0]:
          return lr
      for i in range(len(LR_SCHEDULE)):
          if epoch == LR_SCHEDULE[i][0]:
              return LR_SCHEDULE[i][1]
      return lr
  
imports: import numpy
  import keras
label_desc: Use image node_id 2 for calling a global function with example usage: lr_schedule(epoch, lr) and returns: lr, lr, LR_SCHEDULE