code: def _reshape_input_x(self, x):
      long_term = np.reshape(
          x[:, : self.time_step * self.long_num],
          [-1, self.long_num, self.time_step, x.shape[-1]],
      )
      short_term = np.reshape(
          x[:, self.time_step * self.long_num :],
          [-1, self.time_step, x.shape[-1]],
      )
      return long_term, short_term
  
imports: import pickle
  import numpy
  import time
  from tensorflow.keras.models import Model
  from tensorflow.keras.layers import *
  from tensorflow.keras.initializers import TruncatedNormal, Constant
  import tensorflow.keras.backend
  import tensorflow
  from zoo.orca.automl.metrics import Evaluator
  from zoo.orca.automl.model.abstract import BaseModel
label_desc: Use image node_id 6 for calling the MTNetKeras obj's underlying member method code with example usage: obj._reshape_input_x(x) and returns: long_term,  short_term