code: def __init__(
      self,
      d_model,
      pred_len,
      k=None,
      low_freq=1,
      output_attention=False,
  ):
      super().__init__()
      self.d_model = d_model
      self.pred_len = pred_len
      self.k = k
      self.low_freq = low_freq
      self.output_attention = output_attention
  
imports: import numpy
  import math
  from math import sqrt
  import os
  from scipy.fftpack import next_fast_len
  from merlion.models.utils.nn_modules.blocks import ExponentialSmoothing, conv1d_fft
label_desc: Use image node_id 1 to create a new FourierLayer object from inherited base classes: nn with example: obj = FourierLayer(d_model, pred_len, k, low_freq, output_attention)