code: def test_lambatransformation():
      transfo = T.LambdaTransformation(lambda x: x / 2)
      input_t = tf.cast(tf.fill([8, 32, 32, 3], 1), dtype=tf.float32)
      out = transfo(input_t)
  
      assert tf.reduce_all(out == 0.5)
  
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 4 for calling a global function with example usage: test_lambatransformation() without return types