def from_dict()

in lm_human_preferences/utils/core.py [0:0]

• 7 lines of code
• 4 McCabe index (conditional complexity)

    def from_dict(stats):
        for k, v in stats.items():
            if v.dtype != tf.float32:
                raise ValueError('Statistic %s has dtype %r, expected %r' % (k, v.dtype, tf.float32))
        keys = tuple(sorted(stats.keys()))
        flat = tf.stack([stats[k] for k in keys])
        return FlatStats(keys, flat)