code: def test_brightness():
      transfo = T.RandomBrightness(max_delta=0.1)
      input_t = tf.cast(tf.fill([8, 32, 32, 3], 0.5), dtype=tf.float32)
      out = transfo(input_t)
  
      assert tf.reduce_all(out >= 0.4)
      assert tf.reduce_all(out <= 0.6)
  
      # FP16
      input_t = tf.cast(tf.fill([8, 32, 32, 3], 0.5), dtype=tf.float16)
      out = transfo(input_t)
      assert out.dtype == tf.float16
  
imports: import math
  import numpy
  import pytest
  import tensorflow
  from doctr import transforms
  from doctr.transforms.functional import crop_detection, rotate_sample
label_desc: Use image node_id 7 for calling a global function with example usage: test_brightness() without return types