code: def get_float_at(key, index, sequence, prefix=""):
      return (
          sequence.feature_lists.feature_list[merge_prefix(prefix, key)]
          .feature[index]
          .float_list.value[0]
      )
  
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 27 for calling a global function with example usage: get_float_at(key, index, sequence, prefix) and returns: sequence