code: def set_context_float(
      key: str, value: float, sequence: tf.train.SequenceExample
  ):
      sequence.context.feature[key].float_list.value[:] = (value,)
  
file_path: scenic/scenic/projects/vid2seq/generate_from_file.py
imports: import contextlib
  import math
  import os
  from typing import Optional, Sequence
  from absl import app
  from absl import flags
  import numpy
  import pandas
  import tensorflow
  from tqdm import tqdm
label_desc: Use image node_id 7 for calling a global function with example usage: set_context_float(key, value, sequence) without return types