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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _float_feature(value):
 """Wrapper for inserting float features into Example proto."""

  if not isinstance(value, list):
    value = [value]
  return tf.train.Feature(float_list=tf.train.FloatList(value=value))