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		3d4ac1a2c2
		
			
		
	
	
	
	
		
			
			Concurrent accesses from multiple threads to the same `cell` object did not scale well in the free-threaded build. Use `_PyStackRef` and optimistically avoid locking to improve scaling. With the locks around cell reads gone, some of the free threading tests were prone to starvation: the readers were able to run in a tight loop and the writer threads weren't scheduled frequently enough to make timely progress. Adjust the tests to avoid this. Co-authored-by: Donghee Na <donghee.na@python.org>
		
			
				
	
	
		
			67 lines
		
	
	
	
		
			2.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			67 lines
		
	
	
	
		
			2.5 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import concurrent.futures
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| import unittest
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| import inspect
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| from threading import Barrier
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| from unittest import TestCase
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| 
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| from test.support import threading_helper, Py_GIL_DISABLED
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| 
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| threading_helper.requires_working_threading(module=True)
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| 
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| 
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| def get_func_annotation(f, b):
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|     b.wait()
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|     return inspect.get_annotations(f)
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| 
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| 
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| def get_func_annotation_dunder(f, b):
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|     b.wait()
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|     return f.__annotations__
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| 
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| 
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| def set_func_annotation(f, b):
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|     b.wait()
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|     f.__annotations__ = {'x': int, 'y': int, 'return': int}
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|     return f.__annotations__
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| 
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| 
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| @unittest.skipUnless(Py_GIL_DISABLED, "Enable only in FT build")
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| class TestFTFuncAnnotations(TestCase):
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|     NUM_THREADS = 4
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| 
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|     def test_concurrent_read(self):
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|         def f(x: int) -> int:
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|             return x + 1
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| 
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|         for _ in range(10):
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|             with concurrent.futures.ThreadPoolExecutor(max_workers=self.NUM_THREADS) as executor:
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|                 b = Barrier(self.NUM_THREADS)
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|                 futures = {executor.submit(get_func_annotation, f, b): i for i in range(self.NUM_THREADS)}
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|                 for fut in concurrent.futures.as_completed(futures):
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|                     annotate = fut.result()
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|                     self.assertIsNotNone(annotate)
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|                     self.assertEqual(annotate, {'x': int, 'return': int})
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| 
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|             with concurrent.futures.ThreadPoolExecutor(max_workers=self.NUM_THREADS) as executor:
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|                 b = Barrier(self.NUM_THREADS)
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|                 futures = {executor.submit(get_func_annotation_dunder, f, b): i for i in range(self.NUM_THREADS)}
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|                 for fut in concurrent.futures.as_completed(futures):
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|                     annotate = fut.result()
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|                     self.assertIsNotNone(annotate)
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|                     self.assertEqual(annotate, {'x': int, 'return': int})
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| 
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|     def test_concurrent_write(self):
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|         def bar(x: int, y: float) -> float:
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|             return y ** x
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| 
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|         for _ in range(10):
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|             with concurrent.futures.ThreadPoolExecutor(max_workers=self.NUM_THREADS) as executor:
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|                 b = Barrier(self.NUM_THREADS)
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|                 futures = {executor.submit(set_func_annotation, bar, b): i for i in range(self.NUM_THREADS)}
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|                 for fut in concurrent.futures.as_completed(futures):
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|                     annotate = fut.result()
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|                     self.assertIsNotNone(annotate)
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|                     self.assertEqual(annotate, {'x': int, 'y': int, 'return': int})
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| 
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|             # func_get_annotations returns in-place dict, so bar.__annotations__ should be modified as well
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|             self.assertEqual(bar.__annotations__, {'x': int, 'y': int, 'return': int})
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