code: def add_float(key, value, sequence, prefix=""):
      sequence.feature_lists.feature_list[
          merge_prefix(prefix, key)
      ].feature.add().float_list.value[:] = (value,)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import types
  import tensorflow.compat.v1
label_desc: Use image node_id 30 for calling a global function with example usage: add_float(key, value, sequence, prefix) without return types