summaryrefslogtreecommitdiffstats
path: root/Lib/timeit.py
diff options
context:
space:
mode:
authorGuido van Rossum <guido@python.org>2003-03-15 12:25:00 (GMT)
committerGuido van Rossum <guido@python.org>2003-03-15 12:25:00 (GMT)
commit0070f007f4b30a31e7f59ec798ae6f555bcb0c08 (patch)
treee79c153c9c595acdb9dc55f35065a1b168e259bb /Lib/timeit.py
parentd2b738ee7de3d2dc690476f63d12dd9eb7955abf (diff)
downloadcpython-0070f007f4b30a31e7f59ec798ae6f555bcb0c08.zip
cpython-0070f007f4b30a31e7f59ec798ae6f555bcb0c08.tar.gz
cpython-0070f007f4b30a31e7f59ec798ae6f555bcb0c08.tar.bz2
Change the default number of repetitions to 3, both in the Timer class
(from 10) and in main() (from 1). Add a -v option that shows the raw times. Repeating it cranks up the display precision. Always use the "best of N" form of output.
Diffstat (limited to 'Lib/timeit.py')
-rw-r--r--Lib/timeit.py33
1 files changed, 21 insertions, 12 deletions
diff --git a/Lib/timeit.py b/Lib/timeit.py
index c211082..d7bd611 100644
--- a/Lib/timeit.py
+++ b/Lib/timeit.py
@@ -11,10 +11,11 @@ Command line usage:
Options:
-n/--number N: how many times to execute 'statement' (default: see below)
- -r/--repeat N: how many times to repeat the timer (default 1)
+ -r/--repeat N: how many times to repeat the timer (default 3)
-s/--setup S: statement to be executed once initially (default 'pass')
-t/--time: use time.time() (default on Unix)
-c/--clock: use time.clock() (default on Windows)
+ -v/--verbose: print raw timing results; repeat for more digits precision
-h/--help: print this usage message and exit
statement: statement to be timed (default 'pass')
@@ -33,8 +34,9 @@ time() is much more precise. On either platform, the default timer
functions measures wall clock time, not the CPU time. This means that
other processes running on the same computer may interfere with the
timing. The best thing to do when accurate timing is necessary is to
-repeat the timing a few times and use the best time; the -r option is
-good for this. On Unix, you can use clock() to measure CPU time.
+repeat the timing a few times and use the best time. The -r option is
+good for this; the default of 3 repetitions is probably enough in most
+cases. On Unix, you can use clock() to measure CPU time.
Note: there is a certain baseline overhead associated with executing a
pass statement. The code here doesn't try to hide it, but you should
@@ -60,7 +62,7 @@ __all__ = ["Timer"]
dummy_src_name = "<timeit-src>"
default_number = 1000000
-default_repeat = 10
+default_repeat = 3
if sys.platform == "win32":
# On Windows, the best timer is time.clock()
@@ -159,7 +161,7 @@ class Timer:
This is a convenience function that calls the timer()
repeatedly, returning a list of results. The first argument
- specifies how many times to call timer(), defaulting to 10;
+ specifies how many times to call timer(), defaulting to 3;
the second argument specifies the timer argument, defaulting
to one million.
@@ -197,9 +199,9 @@ def main(args=None):
args = sys.argv[1:]
import getopt
try:
- opts, args = getopt.getopt(args, "n:s:r:tch",
+ opts, args = getopt.getopt(args, "n:s:r:tcvh",
["number=", "setup=", "repeat=",
- "time", "clock", "help"])
+ "time", "clock", "verbose", "help"])
except getopt.error, err:
print err
print "use -h/--help for command line help"
@@ -208,7 +210,9 @@ def main(args=None):
stmt = "\n".join(args) or "pass"
number = 0 # auto-determine
setup = []
- repeat = 1
+ repeat = default_repeat
+ verbose = 0
+ precision = 3
for o, a in opts:
if o in ("-n", "--number"):
number = int(a)
@@ -222,6 +226,10 @@ def main(args=None):
timer = time.time
if o in ("-c", "--clock"):
timer = time.clock
+ if o in ("-v", "--verbose"):
+ if verbose:
+ precision += 1
+ verbose += 1
if o in ("-h", "--help"):
print __doc__,
return 0
@@ -236,6 +244,8 @@ def main(args=None):
except:
t.print_exc()
return 1
+ if verbose:
+ print "%d loops -> %.*g secs" % (number, precision, x)
if x >= 0.2:
break
try:
@@ -244,12 +254,11 @@ def main(args=None):
t.print_exc()
return 1
best = min(r)
+ if verbose:
+ print "raw times:", " ".join(["%.*g" % (precision, x) for x in r])
print "%d loops," % number,
usec = best * 1e6 / number
- if repeat > 1:
- print "best of %d: %.3f usec per loop" % (repeat, usec)
- else:
- print "time: %.3f usec per loop" % usec
+ print "best of %d: %.*g usec per loop" % (repeat, precision, usec)
return None
if __name__ == "__main__":