mirror of
				https://github.com/python-pillow/Pillow.git
				synced 2025-11-04 09:57:43 +03:00 
			
		
		
		
	The unittest in helper.py has not offered an interesting abstraction
since dbe9f85c7d so import from the more
typical stdlib location.
		
	
			
		
			
				
	
	
		
			46 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			46 lines
		
	
	
		
			1.1 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
import sys
 | 
						|
import unittest
 | 
						|
 | 
						|
from PIL import Image
 | 
						|
 | 
						|
from .helper import PillowTestCase
 | 
						|
 | 
						|
# This test is not run automatically.
 | 
						|
#
 | 
						|
# It requires > 2gb memory for the >2 gigapixel image generated in the
 | 
						|
# second test.  Running this automatically would amount to a denial of
 | 
						|
# service on our testing infrastructure.  I expect this test to fail
 | 
						|
# on any 32-bit machine, as well as any smallish things (like
 | 
						|
# Raspberry Pis).
 | 
						|
 | 
						|
 | 
						|
try:
 | 
						|
    import numpy as np
 | 
						|
except ImportError:
 | 
						|
    raise unittest.SkipTest("numpy not installed")
 | 
						|
 | 
						|
YDIM = 32769
 | 
						|
XDIM = 48000
 | 
						|
 | 
						|
 | 
						|
@unittest.skipIf(sys.maxsize <= 2 ** 32, "requires 64-bit system")
 | 
						|
class LargeMemoryNumpyTest(PillowTestCase):
 | 
						|
    def _write_png(self, xdim, ydim):
 | 
						|
        dtype = np.uint8
 | 
						|
        a = np.zeros((xdim, ydim), dtype=dtype)
 | 
						|
        f = self.tempfile("temp.png")
 | 
						|
        im = Image.fromarray(a, "L")
 | 
						|
        im.save(f)
 | 
						|
 | 
						|
    def test_large(self):
 | 
						|
        """ succeeded prepatch"""
 | 
						|
        self._write_png(XDIM, YDIM)
 | 
						|
 | 
						|
    def test_2gpx(self):
 | 
						|
        """failed prepatch"""
 | 
						|
        self._write_png(XDIM, XDIM)
 | 
						|
 | 
						|
 | 
						|
if __name__ == "__main__":
 | 
						|
    unittest.main()
 |