code: def test_hybridize_boolean_dtype():
      class Foo(gluon.HybridBlock):
          def __init__(self):
              super(Foo, self).__init__()
  
          def forward(self, valid_length):
              mask = (np.ones((10,)) / 2) < valid_length
              return mask
  
      valid_length = mx.np.random.uniform(size=(10,))
      foo = Foo()
      out1 = foo(valid_length)
  
      foo = Foo()
      foo.hybridize()
      out2 = foo(valid_length)
  
      assert mx.test_utils.same(out1.asnumpy(), out2.asnumpy())
  
imports: from __future__ import absolute_import
  from __future__ import division
  import os
  from uuid import uuid4
  import numpy
  import mxnet
  from mxnet import gluon, autograd, np, npx
  from mxnet.test_utils import use_np, assert_almost_equal, check_gluon_hybridize_consistency, assert_allclose
  from mxnet.gluon import nn
  from mxnet.base import MXNetError
  import random
  import pytest
label_desc: Use image node_id 11 for calling a global function with example usage: test_hybridize_boolean_dtype() and returns: mask