code: def get_samples(self, shape):
      x = tf.random.stateless_normal(shape, stddev=5.0, seed=(0, 1))
      indexes = tf.random.stateless_uniform(
          shape, minval=-0.4, maxval=64.4, seed=(0, 0), dtype=tf.float32
      )
      loc = tf.random.stateless_normal(shape, stddev=5.0, seed=(2, 3))
      return x, indexes, loc
  
imports: from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import uniform_noise
  from tensorflow_compression.python.entropy_models import continuous_indexed
label_desc: Use image node_id 2 for calling the LocationScaleIndexedEntropyModelTest obj's underlying member method code with example usage: obj.get_samples(shape) and returns: x,  indexes,  loc