code: def get_expected_length(self, input_length, frame_rate, center=False):
      sample_rate = 16000  # Features at CREPE_SAMPLE_RATE.
      frame_size = 1024  # Unused for this calculation.
      hop_size = sample_rate // frame_rate
      padding = "center" if center else "same"
      n_frames, _ = spectral_ops.get_framed_lengths(
          input_length, frame_size, hop_size, padding
      )
      return n_frames
  
imports: import os
  import sys
  from absl import flags
  from absl.testing import absltest
  from absl.testing import parameterized
  from ddsp import spectral_ops
  from ddsp.training.data_preparation import prepare_tfrecord_lib
  import numpy
  import scipy.io.wavfile
  import tensorflow.compat.v2
label_desc: Use image node_id 5 for calling the PrepareTFRecordBeamTest obj's underlying member method code with example usage: obj.get_expected_length(input_length, frame_rate, center) and returns: n_frames