Issue #7701: Fix crash in binascii.b2a_uu() in debug mode when given a
[python.git] / Lib / timeit.py
blob052f140108419432405b564081c25ceb48142714
1 #! /usr/bin/env python
3 """Tool for measuring execution time of small code snippets.
5 This module avoids a number of common traps for measuring execution
6 times. See also Tim Peters' introduction to the Algorithms chapter in
7 the Python Cookbook, published by O'Reilly.
9 Library usage: see the Timer class.
11 Command line usage:
12 python timeit.py [-n N] [-r N] [-s S] [-t] [-c] [-h] [statement]
14 Options:
15 -n/--number N: how many times to execute 'statement' (default: see below)
16 -r/--repeat N: how many times to repeat the timer (default 3)
17 -s/--setup S: statement to be executed once initially (default 'pass')
18 -t/--time: use time.time() (default on Unix)
19 -c/--clock: use time.clock() (default on Windows)
20 -v/--verbose: print raw timing results; repeat for more digits precision
21 -h/--help: print this usage message and exit
22 statement: statement to be timed (default 'pass')
24 A multi-line statement may be given by specifying each line as a
25 separate argument; indented lines are possible by enclosing an
26 argument in quotes and using leading spaces. Multiple -s options are
27 treated similarly.
29 If -n is not given, a suitable number of loops is calculated by trying
30 successive powers of 10 until the total time is at least 0.2 seconds.
32 The difference in default timer function is because on Windows,
33 clock() has microsecond granularity but time()'s granularity is 1/60th
34 of a second; on Unix, clock() has 1/100th of a second granularity and
35 time() is much more precise. On either platform, the default timer
36 functions measure wall clock time, not the CPU time. This means that
37 other processes running on the same computer may interfere with the
38 timing. The best thing to do when accurate timing is necessary is to
39 repeat the timing a few times and use the best time. The -r option is
40 good for this; the default of 3 repetitions is probably enough in most
41 cases. On Unix, you can use clock() to measure CPU time.
43 Note: there is a certain baseline overhead associated with executing a
44 pass statement. The code here doesn't try to hide it, but you should
45 be aware of it. The baseline overhead can be measured by invoking the
46 program without arguments.
48 The baseline overhead differs between Python versions! Also, to
49 fairly compare older Python versions to Python 2.3, you may want to
50 use python -O for the older versions to avoid timing SET_LINENO
51 instructions.
52 """
54 import gc
55 import sys
56 import time
57 try:
58 import itertools
59 except ImportError:
60 # Must be an older Python version (see timeit() below)
61 itertools = None
63 __all__ = ["Timer"]
65 dummy_src_name = "<timeit-src>"
66 default_number = 1000000
67 default_repeat = 3
69 if sys.platform == "win32":
70 # On Windows, the best timer is time.clock()
71 default_timer = time.clock
72 else:
73 # On most other platforms the best timer is time.time()
74 default_timer = time.time
76 # Don't change the indentation of the template; the reindent() calls
77 # in Timer.__init__() depend on setup being indented 4 spaces and stmt
78 # being indented 8 spaces.
79 template = """
80 def inner(_it, _timer):
81 %(setup)s
82 _t0 = _timer()
83 for _i in _it:
84 %(stmt)s
85 _t1 = _timer()
86 return _t1 - _t0
87 """
89 def reindent(src, indent):
90 """Helper to reindent a multi-line statement."""
91 return src.replace("\n", "\n" + " "*indent)
93 def _template_func(setup, func):
94 """Create a timer function. Used if the "statement" is a callable."""
95 def inner(_it, _timer, _func=func):
96 setup()
97 _t0 = _timer()
98 for _i in _it:
99 _func()
100 _t1 = _timer()
101 return _t1 - _t0
102 return inner
104 class Timer:
105 """Class for timing execution speed of small code snippets.
107 The constructor takes a statement to be timed, an additional
108 statement used for setup, and a timer function. Both statements
109 default to 'pass'; the timer function is platform-dependent (see
110 module doc string).
112 To measure the execution time of the first statement, use the
113 timeit() method. The repeat() method is a convenience to call
114 timeit() multiple times and return a list of results.
116 The statements may contain newlines, as long as they don't contain
117 multi-line string literals.
120 def __init__(self, stmt="pass", setup="pass", timer=default_timer):
121 """Constructor. See class doc string."""
122 self.timer = timer
123 ns = {}
124 if isinstance(stmt, basestring):
125 stmt = reindent(stmt, 8)
126 if isinstance(setup, basestring):
127 setup = reindent(setup, 4)
128 src = template % {'stmt': stmt, 'setup': setup}
129 elif hasattr(setup, '__call__'):
130 src = template % {'stmt': stmt, 'setup': '_setup()'}
131 ns['_setup'] = setup
132 else:
133 raise ValueError("setup is neither a string nor callable")
134 self.src = src # Save for traceback display
135 code = compile(src, dummy_src_name, "exec")
136 exec code in globals(), ns
137 self.inner = ns["inner"]
138 elif hasattr(stmt, '__call__'):
139 self.src = None
140 if isinstance(setup, basestring):
141 _setup = setup
142 def setup():
143 exec _setup in globals(), ns
144 elif not hasattr(setup, '__call__'):
145 raise ValueError("setup is neither a string nor callable")
146 self.inner = _template_func(setup, stmt)
147 else:
148 raise ValueError("stmt is neither a string nor callable")
150 def print_exc(self, file=None):
151 """Helper to print a traceback from the timed code.
153 Typical use:
155 t = Timer(...) # outside the try/except
156 try:
157 t.timeit(...) # or t.repeat(...)
158 except:
159 t.print_exc()
161 The advantage over the standard traceback is that source lines
162 in the compiled template will be displayed.
164 The optional file argument directs where the traceback is
165 sent; it defaults to sys.stderr.
167 import linecache, traceback
168 if self.src is not None:
169 linecache.cache[dummy_src_name] = (len(self.src),
170 None,
171 self.src.split("\n"),
172 dummy_src_name)
173 # else the source is already stored somewhere else
175 traceback.print_exc(file=file)
177 def timeit(self, number=default_number):
178 """Time 'number' executions of the main statement.
180 To be precise, this executes the setup statement once, and
181 then returns the time it takes to execute the main statement
182 a number of times, as a float measured in seconds. The
183 argument is the number of times through the loop, defaulting
184 to one million. The main statement, the setup statement and
185 the timer function to be used are passed to the constructor.
187 if itertools:
188 it = itertools.repeat(None, number)
189 else:
190 it = [None] * number
191 gcold = gc.isenabled()
192 gc.disable()
193 timing = self.inner(it, self.timer)
194 if gcold:
195 gc.enable()
196 return timing
198 def repeat(self, repeat=default_repeat, number=default_number):
199 """Call timeit() a few times.
201 This is a convenience function that calls the timeit()
202 repeatedly, returning a list of results. The first argument
203 specifies how many times to call timeit(), defaulting to 3;
204 the second argument specifies the timer argument, defaulting
205 to one million.
207 Note: it's tempting to calculate mean and standard deviation
208 from the result vector and report these. However, this is not
209 very useful. In a typical case, the lowest value gives a
210 lower bound for how fast your machine can run the given code
211 snippet; higher values in the result vector are typically not
212 caused by variability in Python's speed, but by other
213 processes interfering with your timing accuracy. So the min()
214 of the result is probably the only number you should be
215 interested in. After that, you should look at the entire
216 vector and apply common sense rather than statistics.
218 r = []
219 for i in range(repeat):
220 t = self.timeit(number)
221 r.append(t)
222 return r
224 def timeit(stmt="pass", setup="pass", timer=default_timer,
225 number=default_number):
226 """Convenience function to create Timer object and call timeit method."""
227 return Timer(stmt, setup, timer).timeit(number)
229 def repeat(stmt="pass", setup="pass", timer=default_timer,
230 repeat=default_repeat, number=default_number):
231 """Convenience function to create Timer object and call repeat method."""
232 return Timer(stmt, setup, timer).repeat(repeat, number)
234 def main(args=None):
235 """Main program, used when run as a script.
237 The optional argument specifies the command line to be parsed,
238 defaulting to sys.argv[1:].
240 The return value is an exit code to be passed to sys.exit(); it
241 may be None to indicate success.
243 When an exception happens during timing, a traceback is printed to
244 stderr and the return value is 1. Exceptions at other times
245 (including the template compilation) are not caught.
247 if args is None:
248 args = sys.argv[1:]
249 import getopt
250 try:
251 opts, args = getopt.getopt(args, "n:s:r:tcvh",
252 ["number=", "setup=", "repeat=",
253 "time", "clock", "verbose", "help"])
254 except getopt.error, err:
255 print err
256 print "use -h/--help for command line help"
257 return 2
258 timer = default_timer
259 stmt = "\n".join(args) or "pass"
260 number = 0 # auto-determine
261 setup = []
262 repeat = default_repeat
263 verbose = 0
264 precision = 3
265 for o, a in opts:
266 if o in ("-n", "--number"):
267 number = int(a)
268 if o in ("-s", "--setup"):
269 setup.append(a)
270 if o in ("-r", "--repeat"):
271 repeat = int(a)
272 if repeat <= 0:
273 repeat = 1
274 if o in ("-t", "--time"):
275 timer = time.time
276 if o in ("-c", "--clock"):
277 timer = time.clock
278 if o in ("-v", "--verbose"):
279 if verbose:
280 precision += 1
281 verbose += 1
282 if o in ("-h", "--help"):
283 print __doc__,
284 return 0
285 setup = "\n".join(setup) or "pass"
286 # Include the current directory, so that local imports work (sys.path
287 # contains the directory of this script, rather than the current
288 # directory)
289 import os
290 sys.path.insert(0, os.curdir)
291 t = Timer(stmt, setup, timer)
292 if number == 0:
293 # determine number so that 0.2 <= total time < 2.0
294 for i in range(1, 10):
295 number = 10**i
296 try:
297 x = t.timeit(number)
298 except:
299 t.print_exc()
300 return 1
301 if verbose:
302 print "%d loops -> %.*g secs" % (number, precision, x)
303 if x >= 0.2:
304 break
305 try:
306 r = t.repeat(repeat, number)
307 except:
308 t.print_exc()
309 return 1
310 best = min(r)
311 if verbose:
312 print "raw times:", " ".join(["%.*g" % (precision, x) for x in r])
313 print "%d loops," % number,
314 usec = best * 1e6 / number
315 if usec < 1000:
316 print "best of %d: %.*g usec per loop" % (repeat, precision, usec)
317 else:
318 msec = usec / 1000
319 if msec < 1000:
320 print "best of %d: %.*g msec per loop" % (repeat, precision, msec)
321 else:
322 sec = msec / 1000
323 print "best of %d: %.*g sec per loop" % (repeat, precision, sec)
324 return None
326 if __name__ == "__main__":
327 sys.exit(main())