code: def test_dropout(self):
      rate = 0.25
      x = basic.dropout(
          base.next_rng_key(), rate, jnp.ones([1000, 1000])
      )  # larger is less flaky test
      self.assertAlmostEqual(jnp.mean(x == 0), rate, delta=0.001)
      # The dropped out tensor is rescaled to preserve the same mean.
      self.assertAlmostEqual(jnp.mean(x), 1.0, delta=0.01)
  
imports: from absl.testing import absltest
  from absl.testing import parameterized
  from haiku._src import base
  from haiku._src import basic
  from haiku._src import test_utils
  from haiku._src import transform
  import jax
  from jax import random
  import jax.numpy
  import numpy
label_desc: Use image node_id 6 for calling the BasicTest obj's underlying member method code with example usage: obj.test_dropout() without return types