code: def squeeze(input_vector):
      """Ensure vector only has one axis of dimensionality."""
      if input_vector.ndim > 1:
          return np.squeeze(input_vector)
      else:
          return input_vector
  
imports: import dataclasses
  from absl import logging
  import ddsp
  import librosa
  import mir_eval
  import note_seq
  from note_seq import sequences_lib
  import numpy
  import tensorflow.compat.v2
label_desc: Use image node_id 1 for calling a global function with example usage: squeeze(input_vector) and returns: np, input_vector