old_contents: 
  import sys
  
  from hypothesis import given
  from hypothesis.strategies import integers
  
  from numba import jit
  import numpy as np
  
  
  # Parallel not supported on 32-bit Windows
  parallel = not (sys.platform == 'win32')
  
  
  @jit(nopython=True, parallel=True)
  def get(n):
      return np.ones((n,1), dtype=np.float64)
  
  
  @given(integers(min_value=10, max_value=100000))
  def test_all_ones(x):
      """
      We found one of the scaling tests failing on
      OS X with numba 0.35, but it passed on other
      platforms, and passed consistently with numba
      0.36.
  
      The issue appears to be the same as numba#2609
      https://github.com/numba/numba/issues/2609
      so we've taken the minimal repro from that issue
      and are using it as a unit-test here.
      """
      result = get(x)
      expected = np.ones((x, 1), dtype=np.float64)
      assert np.allclose(expected, result)
  
  
  if __name__ == '__main__':
      import pytest
      pytest.main([__file__])
  
new_contents: 
  import sys
  
  from hypothesis import given
  from hypothesis.strategies import integers
  
  from numba import jit
  import numpy as np
  
  
  # Parallel not supported on 32-bit Windows
  parallel = not (sys.platform == 'win32')
  
  
  @jit(nopython=True, parallel=parallel)
  def get(n):
      return np.ones((n,1), dtype=np.float64)
  
  
  @given(integers(min_value=10, max_value=100000))
  def test_all_ones(x):
      """
      We found one of the scaling tests failing on
      OS X with numba 0.35, but it passed on other
      platforms, and passed consistently with numba
      0.36.
  
      The issue appears to be the same as numba#2609
      https://github.com/numba/numba/issues/2609
      so we've taken the minimal repro from that issue
      and are using it as a unit-test here.
      """
      result = get(x)
      expected = np.ones((x, 1), dtype=np.float64)
      assert np.allclose(expected, result)
  
  
  if __name__ == '__main__':
      import pytest
      pytest.main([__file__])
  
subject: Use the parallel guard