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	The unittest in helper.py has not offered an interesting abstraction
since dbe9f85c7d so import from the more
typical stdlib location.
		
	
			
		
			
				
	
	
		
			50 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			50 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import sys
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| import unittest
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| 
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| from PIL import Image
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| 
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| from .helper import PillowTestCase
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| 
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| # This test is not run automatically.
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| #
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| # It requires > 2gb memory for the >2 gigapixel image generated in the
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| # second test.  Running this automatically would amount to a denial of
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| # service on our testing infrastructure.  I expect this test to fail
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| # on any 32-bit machine, as well as any smallish things (like
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| # Raspberry Pis). It does succeed on a 3gb Ubuntu 12.04x64 VM on Python
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| # 2.7 and 3.2.
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| 
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| 
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| try:
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|     import numpy
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| except ImportError:
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|     numpy = None
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| 
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| YDIM = 32769
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| XDIM = 48000
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| 
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| 
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| @unittest.skipIf(sys.maxsize <= 2 ** 32, "requires 64-bit system")
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| class LargeMemoryTest(PillowTestCase):
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|     def _write_png(self, xdim, ydim):
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|         f = self.tempfile("temp.png")
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|         im = Image.new("L", (xdim, ydim), 0)
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|         im.save(f)
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| 
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|     def test_large(self):
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|         """ succeeded prepatch"""
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|         self._write_png(XDIM, YDIM)
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| 
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|     def test_2gpx(self):
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|         """failed prepatch"""
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|         self._write_png(XDIM, XDIM)
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| 
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|     @unittest.skipIf(numpy is None, "Numpy is not installed")
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|     def test_size_greater_than_int(self):
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|         arr = numpy.ndarray(shape=(16394, 16394))
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|         Image.fromarray(arr)
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| 
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| 
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| if __name__ == "__main__":
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|     unittest.main()
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