time.clock() now emits a DeprecationWarning (GH-4020)

bpo-31803: time.clock() and time.get_clock_info('clock') now emit a
DeprecationWarning warning.

Replace time.clock() with time.perf_counter() in tests and demos.

Remove also hasattr(time, 'monotonic') in test_time since time.monotonic()
is now always available since Python 3.5.
This commit is contained in:
Victor Stinner 2017-10-17 14:46:45 -07:00 committed by GitHub
parent de86073a76
commit 884d13a55f
14 changed files with 39 additions and 20 deletions

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@ -575,7 +575,7 @@ procedure can be used to obtain a better constant for a given platform (see
The method executes the number of Python calls given by the argument, directly
and again under the profiler, measuring the time for both. It then computes the
hidden overhead per profiler event, and returns that as a float. For example,
on a 1.8Ghz Intel Core i5 running Mac OS X, and using Python's time.clock() as
on a 1.8Ghz Intel Core i5 running Mac OS X, and using Python's time.process_time() as
the timer, the magical number is about 4.04e-6.
The object of this exercise is to get a fairly consistent result. If your

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@ -289,6 +289,9 @@ Functions
.. function:: perf_counter()
.. index::
single: benchmarking
Return the value (in fractional seconds) of a performance counter, i.e. a
clock with the highest available resolution to measure a short duration. It
does include time elapsed during sleep and is system-wide. The reference
@ -300,6 +303,11 @@ Functions
.. function:: process_time()
.. index::
single: CPU time
single: processor time
single: benchmarking
Return the value (in fractional seconds) of the sum of the system and user
CPU time of the current process. It does not include time elapsed during
sleep. It is process-wide by definition. The reference point of the

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@ -241,7 +241,7 @@ class c_int_S(_SimpleCData):
def run_test(rep, msg, func, arg=None):
## items = [None] * rep
items = range(rep)
from time import clock
from time import perf_counter as clock
if arg is not None:
start = clock()
for i in items:

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@ -194,7 +194,7 @@ class WStringTestCase(unittest.TestCase):
def run_test(rep, msg, func, arg):
items = range(rep)
from time import clock
from time import perf_counter as clock
start = clock()
for i in items:
func(arg); func(arg); func(arg); func(arg); func(arg)

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@ -195,7 +195,7 @@ class Profile:
self.t = r[0] + r[1] - t # put back unrecorded delta
# Dispatch routine for best timer program (return = scalar, fastest if
# an integer but float works too -- and time.clock() relies on that).
# an integer but float works too -- and time.process_time() relies on that).
def trace_dispatch_i(self, frame, event, arg):
timer = self.timer

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@ -9,6 +9,7 @@ import sysconfig
import time
import threading
import unittest
import warnings
try:
import _testcapi
except ImportError:
@ -64,9 +65,11 @@ class TimeTestCase(unittest.TestCase):
self.assertTrue(info.adjustable)
def test_clock(self):
time.clock()
with self.assertWarns(DeprecationWarning):
time.clock()
info = time.get_clock_info('clock')
with self.assertWarns(DeprecationWarning):
info = time.get_clock_info('clock')
self.assertTrue(info.monotonic)
self.assertFalse(info.adjustable)
@ -427,8 +430,6 @@ class TimeTestCase(unittest.TestCase):
pass
self.assertEqual(time.strftime('%Z', tt), tzname)
@unittest.skipUnless(hasattr(time, 'monotonic'),
'need time.monotonic')
def test_monotonic(self):
# monotonic() should not go backward
times = [time.monotonic() for n in range(100)]
@ -467,8 +468,6 @@ class TimeTestCase(unittest.TestCase):
self.assertTrue(info.monotonic)
self.assertFalse(info.adjustable)
@unittest.skipUnless(hasattr(time, 'monotonic'),
'need time.monotonic')
@unittest.skipUnless(hasattr(time, 'clock_settime'),
'need time.clock_settime')
def test_monotonic_settime(self):
@ -506,12 +505,15 @@ class TimeTestCase(unittest.TestCase):
self.assertRaises(ValueError, time.ctime, float("nan"))
def test_get_clock_info(self):
clocks = ['clock', 'perf_counter', 'process_time', 'time']
if hasattr(time, 'monotonic'):
clocks.append('monotonic')
clocks = ['clock', 'monotonic', 'perf_counter', 'process_time', 'time']
for name in clocks:
info = time.get_clock_info(name)
if name == 'clock':
with self.assertWarns(DeprecationWarning):
info = time.get_clock_info('clock')
else:
info = time.get_clock_info(name)
#self.assertIsInstance(info, dict)
self.assertIsInstance(info.implementation, str)
self.assertNotEqual(info.implementation, '')

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@ -23,7 +23,7 @@ mode as fast as possible.
"""
from turtle import Turtle, mainloop
from time import clock
from time import perf_counter as clock
# wrapper for any additional drawing routines
# that need to know about each other

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@ -13,7 +13,7 @@ http://homepage.univie.ac.at/erich.neuwirth/
"""
from turtle import Turtle, colormode, tracer, mainloop
from random import randrange
from time import clock
from time import perf_counter as clock
def symRandom(n):
return randrange(-n,n+1)

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@ -12,7 +12,7 @@ methods are taken from the PythonCard example
scripts for turtle-graphics.
"""
from turtle import *
from time import sleep, clock
from time import sleep, perf_counter as clock
class CurvesTurtle(Pen):
# example derived from

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@ -17,7 +17,7 @@ For more information see:
"""
from turtle import *
from math import cos, pi
from time import clock, sleep
from time import perf_counter as clock, sleep
f = (5**0.5-1)/2.0 # (sqrt(5)-1)/2 -- golden ratio
d = 2 * cos(3*pi/10)

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@ -16,7 +16,7 @@ the current pen is cloned. So in the end
there are 1024 turtles.
"""
from turtle import Turtle, mainloop
from time import clock
from time import perf_counter as clock
def tree(plist, l, a, f):
""" plist is list of pens

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@ -14,7 +14,7 @@ parallel.
Followed by a complete undo().
"""
from turtle import Screen, Turtle, mainloop
from time import clock, sleep
from time import perf_counter as clock, sleep
def mn_eck(p, ne,sz):
turtlelist = [p]

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@ -0,0 +1,2 @@
time.clock() and time.get_clock_info('clock') now emit a DeprecationWarning
warning.

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@ -104,6 +104,13 @@ perf_counter(_Py_clock_info_t *info)
static PyObject*
pyclock(_Py_clock_info_t *info)
{
if (PyErr_WarnEx(PyExc_DeprecationWarning,
"time.clock has been deprecated in Python 3.3 and will "
"be removed from Python 3.8: "
"use time.perf_counter or time.process_time "
"instead", 1) < 0) {
return NULL;
}
#ifdef MS_WINDOWS
return perf_counter(info);
#else