code: def normal_generator(
      sample_shape, n_timesteps, mean, stddev, method="linear"
  ):
      """Linearly interpolates between a fixed number of uniform samples."""
      signal = np.random.normal(mean, stddev, sample_shape)
      return ddsp.core.resample(signal, n_timesteps, method=method)
  
file_path: ddsp/ddsp/training/data_preparation/synthetic_data.py
imports: import warnings
  import ddsp
  import gin
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 5 for calling a global function with example usage: normal_generator(sample_shape, n_timesteps, mean, stddev, method) and returns: ddsp