A simple and lightweight API for unit testing a Python 🐍 project's performances ⚡♿.
From Python 3.5 to 3.8, easily improve your project's performances tests through the use of dedicated decorators.
The memory overload assertions are possible thanks to the @memory_not_exceed decorator.
A simple TestCase associated to this decorator does the job :
class TestLimitMemoryUsage(unittest.TestCase):
"""
This class illustrates the use of the memory_not_exceed decorator.
"""
@memory_not_exceed(threshold=0)
def test_memory_usage_exceed(self):
"""
This test won't pass due to a very low threshold.
"""
return list(range(1000)) * 1
@memory_not_exceed(threshold=1000)
def test_memory_usage_not_exceed(self):
"""
This test passes due to a very high threshold.
"""
return list(range(1000)) * 1The memory leaks assertions are possible thanks to the @memory_not_leak decorator.
Once again, a simple TestCase associated to this decorator does the job :
class TetsMemoryLeaksDetection(unittest.TestCase):
"""
This class illustrates the use of the memory_not_leak decorator.
"""
leaking_list = []
def leak(self):
"""
Generates a memory leak involving the leaking_list.
"""
self.leaking_list.append("will leak")
@memory_not_leak()
def test_memory_leaks(self):
"""
This test won't pass due to a memory leak.
"""
self.leak()
@memory_not_leak()
def test_memory_not_leak(self):
"""
This test passes due to the absence of memory leak.
"""
valid_list = []
valid_list.append("won't leak")
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