code: def tf_pick_value_from_range(
      value_range, clock=None, double_precision=False
  ):
      import tensorflow as tf  # pylint: disable=import-outside-toplevel
  
      clock = (
          tf.random.stateless_uniform(
              [], seed=(-1, 1), dtype=tf.float64
          )
          if clock is None
          else tf.maximum(
              tf.constant(0.0, dtype=tf.float64),
              tf.minimum(tf.constant(1.0, dtype=tf.float64), clock),
          )
      )
      value = value_range.start + clock * (
          value_range.end - value_range.start
      )
      value = tf.random.stateless_uniform(
          [],
          minval=value - value_range.r,
          maxval=value + value_range.r,
          seed=(clock * tf.int32.min, clock * tf.int32.max),
          dtype=tf.float64,
      )
      if isinstance(value_range.start, int):
          return tf.cast(
              tf.math.round(value),
              tf.int64 if double_precision else tf.int32,
          )
      return tf.cast(
          value, tf.float64 if double_precision else tf.float32
      )
  
imports: import os
  import sys
  import time
  import heapq
  import semver
  import random
  from multiprocessing import Pool
  from collections import namedtuple
label_desc: Use image node_id 10 for calling a global function with example usage: tf_pick_value_from_range(value_range, clock, double_precision) and returns: tf, tf