code: def test_dropout(self):
      with Tensor.train():
          n, rate = 1_000_000, 0.1
          w = Tensor.ones(n).dropout(rate)
          non_zeros = np.count_nonzero(w.numpy())
          expected = n * (1 - rate)
          np.testing.assert_allclose(non_zeros, expected, rtol=2e-3)
  
imports: import numpy
  import torch
  import unittest, copy
  import mmap
  from tinygrad import Tensor, Device, dtypes
  from tinygrad.helpers import temp
  from extra.gradcheck import numerical_jacobian, jacobian, gradcheck
label_desc: Use image node_id 6 for calling the TestTinygrad obj's underlying member method code with example usage: obj.test_dropout() without return types