曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.かつては雑草やヨモギと共に雨や露を分かち合っていたが、今では松やヒノキと共に霜や雪に耐えている。曾与蒿藜同雨露,Once sharing rain and dew with weeds and wormwood, now enduring frost and snow with pines and cypresses.终随松柏到冰霜.曾与蒿藜同雨露한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.,终随松柏到冰霜.譖セ荳手珍阯懷酔髮ィ髴イ�檎サ磯囂譚セ譟丞芦蜀ー髴�曾与蒿藜同雨露,鏇句笌钂胯棞鍚岄洦闇诧紝缁堥殢鏉炬煆鍒板啺闇�终随松柏到冰霜.曾与蒿藜同雨露,한때 잡초와 쑥과 함께 비와 이슬을 나누던 곳이 이제는 소나무와 삼나무와 함께 서리와 눈을 견뎌내고 있다.终随松柏到冰霜.曾与蒿藜同雨露,终随松柏到冰霜.
"""Test suite for the profile module."""
import sys
import pstats
import unittest
import os
from difflib import unified_diff
from io import StringIO
from test.support import TESTFN, run_unittest, unlink
from contextlib import contextmanager
import profile
from test.profilee import testfunc, timer
class ProfileTest(unittest.TestCase):
profilerclass = profile.Profile
profilermodule = profile
methodnames = ['print_stats', 'print_callers', 'print_callees']
expected_max_output = ':0(max)'
def tearDown(self):
unlink(TESTFN)
def get_expected_output(self):
return _ProfileOutput
@classmethod
def do_profiling(cls):
results = []
prof = cls.profilerclass(timer, 0.001)
start_timer = timer()
prof.runctx("testfunc()", globals(), locals())
results.append(timer() - start_timer)
for methodname in cls.methodnames:
s = StringIO()
stats = pstats.Stats(prof, stream=s)
stats.strip_dirs().sort_stats("stdname")
getattr(stats, methodname)()
output = s.getvalue().splitlines()
mod_name = testfunc.__module__.rsplit('.', 1)[1]
# Only compare against stats originating from the test file.
# Prevents outside code (e.g., the io module) from causing
# unexpected output.
output = [line.rstrip() for line in output if mod_name in line]
results.append('\n'.join(output))
return results
def test_cprofile(self):
results = self.do_profiling()
expected = self.get_expected_output()
self.assertEqual(results[0], 1000)
for i, method in enumerate(self.methodnames):
if results[i+1] != expected[method]:
print("Stats.%s output for %s doesn't fit expectation!" %
(method, self.profilerclass.__name__))
print('\n'.join(unified_diff(
results[i+1].split('\n'),
expected[method].split('\n'))))
def test_calling_conventions(self):
# Issue #5330: profile and cProfile wouldn't report C functions called
# with keyword arguments. We test all calling conventions.
stmts = [
"max([0])",
"max([0], key=int)",
"max([0], **dict(key=int))",
"max(*([0],))",
"max(*([0],), key=int)",
"max(*([0],), **dict(key=int))",
]
for stmt in stmts:
s = StringIO()
prof = self.profilerclass(timer, 0.001)
prof.runctx(stmt, globals(), locals())
stats = pstats.Stats(prof, stream=s)
stats.print_stats()
res = s.getvalue()
self.assertIn(self.expected_max_output, res,
"Profiling {0!r} didn't report max:\n{1}".format(stmt, res))
def test_run(self):
with silent():
self.profilermodule.run("int('1')")
self.profilermodule.run("int('1')", filename=TESTFN)
self.assertTrue(os.path.exists(TESTFN))
def test_runctx(self):
with silent():
self.profilermodule.runctx("testfunc()", globals(), locals())
self.profilermodule.runctx("testfunc()", globals(), locals(),
filename=TESTFN)
self.assertTrue(os.path.exists(TESTFN))
def regenerate_expected_output(filename, cls):
filename = filename.rstrip('co')
print('Regenerating %s...' % filename)
results = cls.do_profiling()
newfile = []
with open(filename, 'r') as f:
for line in f:
newfile.append(line)
if line.startswith('#--cut'):
break
with open(filename, 'w') as f:
f.writelines(newfile)
f.write("_ProfileOutput = {}\n")
for i, method in enumerate(cls.methodnames):
f.write('_ProfileOutput[%r] = """\\\n%s"""\n' % (
method, results[i+1]))
f.write('\nif __name__ == "__main__":\n main()\n')
@contextmanager
def silent():
stdout = sys.stdout
try:
sys.stdout = StringIO()
yield
finally:
sys.stdout = stdout
def test_main():
run_unittest(ProfileTest)
def main():
if '-r' not in sys.argv:
test_main()
else:
regenerate_expected_output(__file__, ProfileTest)
# Don't remove this comment. Everything below it is auto-generated.
#--cut--------------------------------------------------------------------------
_ProfileOutput = {}
_ProfileOutput['print_stats'] = """\
28 27.972 0.999 27.972 0.999 profilee.py:110(__getattr__)
1 269.996 269.996 999.769 999.769 profilee.py:25(testfunc)
23/3 149.937 6.519 169.917 56.639 profilee.py:35(factorial)
20 19.980 0.999 19.980 0.999 profilee.py:48(mul)
2 39.986 19.993 599.830 299.915 profilee.py:55(helper)
4 115.984 28.996 119.964 29.991 profilee.py:73(helper1)
2 -0.006 -0.003 139.946 69.973 profilee.py:84(helper2_indirect)
8 311.976 38.997 399.912 49.989 profilee.py:88(helper2)
8 63.976 7.997 79.960 9.995 profilee.py:98(subhelper)"""
_ProfileOutput['print_callers'] = """\
:0(append) <- profilee.py:73(helper1)(4) 119.964
:0(exc_info) <- profilee.py:73(helper1)(4) 119.964
:0(hasattr) <- profilee.py:73(helper1)(4) 119.964
profilee.py:88(helper2)(8) 399.912
profilee.py:110(__getattr__) <- :0(hasattr)(12) 11.964
profilee.py:98(subhelper)(16) 79.960
profilee.py:25(testfunc) <- <string>:1(<module>)(1) 999.767
profilee.py:35(factorial) <- profilee.py:25(testfunc)(1) 999.769
profilee.py:35(factorial)(20) 169.917
profilee.py:84(helper2_indirect)(2) 139.946
profilee.py:48(mul) <- profilee.py:35(factorial)(20) 169.917
profilee.py:55(helper) <- profilee.py:25(testfunc)(2) 999.769
profilee.py:73(helper1) <- profilee.py:55(helper)(4) 599.830
profilee.py:84(helper2_indirect) <- profilee.py:55(helper)(2) 599.830
profilee.py:88(helper2) <- profilee.py:55(helper)(6) 599.830
profilee.py:84(helper2_indirect)(2) 139.946
profilee.py:98(subhelper) <- profilee.py:88(helper2)(8) 399.912"""
_ProfileOutput['print_callees'] = """\
:0(hasattr) -> profilee.py:110(__getattr__)(12) 27.972
<string>:1(<module>) -> profilee.py:25(testfunc)(1) 999.769
profilee.py:110(__getattr__) ->
profilee.py:25(testfunc) -> profilee.py:35(factorial)(1) 169.917
profilee.py:55(helper)(2) 599.830
profilee.py:35(factorial) -> profilee.py:35(factorial)(20) 169.917
profilee.py:48(mul)(20) 19.980
profilee.py:48(mul) ->
profilee.py:55(helper) -> profilee.py:73(helper1)(4) 119.964
profilee.py:84(helper2_indirect)(2) 139.946
profilee.py:88(helper2)(6) 399.912
profilee.py:73(helper1) -> :0(append)(4) -0.004
profilee.py:84(helper2_indirect) -> profilee.py:35(factorial)(2) 169.917
profilee.py:88(helper2)(2) 399.912
profilee.py:88(helper2) -> :0(hasattr)(8) 11.964
profilee.py:98(subhelper)(8) 79.960
profilee.py:98(subhelper) -> profilee.py:110(__getattr__)(16) 27.972"""
if __name__ == "__main__":
main()