1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
|
#! /usr/bin/env python3
"""Tool for measuring execution time of small code snippets.
This module avoids a number of common traps for measuring execution
times. See also Tim Peters' introduction to the Algorithms chapter in
the Python Cookbook, published by O'Reilly.
Library usage: see the Timer class.
Command line usage:
python timeit.py [-n N] [-r N] [-s S] [-t] [-c] [-p] [-h] [--] [statement]
Options:
-n/--number N: how many times to execute 'statement' (default: see below)
-r/--repeat N: how many times to repeat the timer (default 3)
-s/--setup S: statement to be executed once initially (default 'pass')
-p/--process: use time.process_time() (default is time.perf_counter())
-t/--time: use time.time() (deprecated)
-c/--clock: use time.clock() (deprecated)
-v/--verbose: print raw timing results; repeat for more digits precision
-u/--unit: set the output time unit (usec, msec, or sec)
-h/--help: print this usage message and exit
--: separate options from statement, use when statement starts with -
statement: statement to be timed (default 'pass')
A multi-line statement may be given by specifying each line as a
separate argument; indented lines are possible by enclosing an
argument in quotes and using leading spaces. Multiple -s options are
treated similarly.
If -n is not given, a suitable number of loops is calculated by trying
successive powers of 10 until the total time is at least 0.2 seconds.
Note: there is a certain baseline overhead associated with executing a
pass statement. It differs between versions. The code here doesn't try
to hide it, but you should be aware of it. The baseline overhead can be
measured by invoking the program without arguments.
Classes:
Timer
Functions:
timeit(string, string) -> float
repeat(string, string) -> list
default_timer() -> float
"""
import gc
import sys
import time
import itertools
__all__ = ["Timer", "timeit", "repeat", "default_timer"]
dummy_src_name = "<timeit-src>"
default_number = 1000000
default_repeat = 3
default_timer = time.perf_counter
_globals = globals
# Don't change the indentation of the template; the reindent() calls
# in Timer.__init__() depend on setup being indented 4 spaces and stmt
# being indented 8 spaces.
template = """
def inner(_it, _timer):
{setup}
_t0 = _timer()
for _i in _it:
{stmt}
_t1 = _timer()
return _t1 - _t0
"""
def reindent(src, indent):
"""Helper to reindent a multi-line statement."""
return src.replace("\n", "\n" + " "*indent)
def _template_func(setup, func):
"""Create a timer function. Used if the "statement" is a callable."""
def inner(_it, _timer, _func=func):
setup()
_t0 = _timer()
for _i in _it:
_func()
_t1 = _timer()
return _t1 - _t0
return inner
class Timer:
"""Class for timing execution speed of small code snippets.
The constructor takes a statement to be timed, an additional
statement used for setup, and a timer function. Both statements
default to 'pass'; the timer function is platform-dependent (see
module doc string). If 'globals' is specified, the code will be
executed within that namespace (as opposed to inside timeit's
namespace).
To measure the execution time of the first statement, use the
timeit() method. The repeat() method is a convenience to call
timeit() multiple times and return a list of results.
The statements may contain newlines, as long as they don't contain
multi-line string literals.
"""
def __init__(self, stmt="pass", setup="pass", timer=default_timer,
globals=None):
"""Constructor. See class doc string."""
self.timer = timer
local_ns = {}
global_ns = _globals() if globals is None else globals
if isinstance(stmt, str):
# Check that the code can be compiled outside a function
if isinstance(setup, str):
compile(setup, dummy_src_name, "exec")
compile(setup + '\n' + stmt, dummy_src_name, "exec")
else:
compile(stmt, dummy_src_name, "exec")
stmt = reindent(stmt, 8)
if isinstance(setup, str):
setup = reindent(setup, 4)
src = template.format(stmt=stmt, setup=setup)
elif callable(setup):
src = template.format(stmt=stmt, setup='_setup()')
local_ns['_setup'] = setup
else:
raise ValueError("setup is neither a string nor callable")
self.src = src # Save for traceback display
code = compile(src, dummy_src_name, "exec")
exec(code, global_ns, local_ns)
self.inner = local_ns["inner"]
elif callable(stmt):
self.src = None
if isinstance(setup, str):
_setup = setup
def setup():
exec(_setup, global_ns, local_ns)
elif not callable(setup):
raise ValueError("setup is neither a string nor callable")
self.inner = _template_func(setup, stmt)
else:
raise ValueError("stmt is neither a string nor callable")
def print_exc(self, file=None):
"""Helper to print a traceback from the timed code.
Typical use:
t = Timer(...) # outside the try/except
try:
t.timeit(...) # or t.repeat(...)
except:
t.print_exc()
The advantage over the standard traceback is that source lines
in the compiled template will be displayed.
The optional file argument directs where the traceback is
sent; it defaults to sys.stderr.
"""
import linecache, traceback
if self.src is not None:
linecache.cache[dummy_src_name] = (len(self.src),
None,
self.src.split("\n"),
dummy_src_name)
# else the source is already stored somewhere else
traceback.print_exc(file=file)
def timeit(self, number=default_number):
"""Time 'number' executions of the main statement.
To be precise, this executes the setup statement once, and
then returns the time it takes to execute the main statement
a number of times, as a float measured in seconds. The
argument is the number of times through the loop, defaulting
to one million. The main statement, the setup statement and
the timer function to be used are passed to the constructor.
"""
it = itertools.repeat(None, number)
gcold = gc.isenabled()
gc.disable()
try:
timing = self.inner(it, self.timer)
finally:
if gcold:
gc.enable()
return timing
def repeat(self, repeat=default_repeat, number=default_number):
"""Call timeit() a few times.
This is a convenience function that calls the timeit()
repeatedly, returning a list of results. The first argument
specifies how many times to call timeit(), defaulting to 3;
the second argument specifies the timer argument, defaulting
to one million.
Note: it's tempting to calculate mean and standard deviation
from the result vector and report these. However, this is not
very useful. In a typical case, the lowest value gives a
lower bound for how fast your machine can run the given code
snippet; higher values in the result vector are typically not
caused by variability in Python's speed, but by other
processes interfering with your timing accuracy. So the min()
of the result is probably the only number you should be
interested in. After that, you should look at the entire
vector and apply common sense rather than statistics.
"""
r = []
for i in range(repeat):
t = self.timeit(number)
r.append(t)
return r
def timeit(stmt="pass", setup="pass", timer=default_timer,
number=default_number, globals=None):
"""Convenience function to create Timer object and call timeit method."""
return Timer(stmt, setup, timer, globals).timeit(number)
def repeat(stmt="pass", setup="pass", timer=default_timer,
repeat=default_repeat, number=default_number, globals=None):
"""Convenience function to create Timer object and call repeat method."""
return Timer(stmt, setup, timer, globals).repeat(repeat, number)
def main(args=None, *, _wrap_timer=None):
"""Main program, used when run as a script.
The optional 'args' argument specifies the command line to be parsed,
defaulting to sys.argv[1:].
The return value is an exit code to be passed to sys.exit(); it
may be None to indicate success.
When an exception happens during timing, a traceback is printed to
stderr and the return value is 1. Exceptions at other times
(including the template compilation) are not caught.
'_wrap_timer' is an internal interface used for unit testing. If it
is not None, it must be a callable that accepts a timer function
and returns another timer function (used for unit testing).
"""
if args is None:
args = sys.argv[1:]
import getopt
try:
opts, args = getopt.getopt(args, "n:u:s:r:tcpvh",
["number=", "setup=", "repeat=",
"time", "clock", "process",
"verbose", "unit=", "help"])
except getopt.error as err:
print(err)
print("use -h/--help for command line help")
return 2
timer = default_timer
stmt = "\n".join(args) or "pass"
number = 0 # auto-determine
setup = []
repeat = default_repeat
verbose = 0
time_unit = None
units = {"usec": 1, "msec": 1e3, "sec": 1e6}
precision = 3
for o, a in opts:
if o in ("-n", "--number"):
number = int(a)
if o in ("-s", "--setup"):
setup.append(a)
if o in ("-u", "--unit"):
if a in units:
time_unit = a
else:
print("Unrecognized unit. Please select usec, msec, or sec.",
file=sys.stderr)
return 2
if o in ("-r", "--repeat"):
repeat = int(a)
if repeat <= 0:
repeat = 1
if o in ("-t", "--time"):
timer = time.time
if o in ("-c", "--clock"):
timer = time.clock
if o in ("-p", "--process"):
timer = time.process_time
if o in ("-v", "--verbose"):
if verbose:
precision += 1
verbose += 1
if o in ("-h", "--help"):
print(__doc__, end=' ')
return 0
setup = "\n".join(setup) or "pass"
# Include the current directory, so that local imports work (sys.path
# contains the directory of this script, rather than the current
# directory)
import os
sys.path.insert(0, os.curdir)
if _wrap_timer is not None:
timer = _wrap_timer(timer)
t = Timer(stmt, setup, timer)
if number == 0:
# determine number so that 0.2 <= total time < 2.0
for i in range(1, 10):
number = 10**i
try:
x = t.timeit(number)
except:
t.print_exc()
return 1
if verbose:
print("%d loops -> %.*g secs" % (number, precision, x))
if x >= 0.2:
break
try:
r = t.repeat(repeat, number)
except:
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, end=' ')
usec = best * 1e6 / number
if time_unit is not None:
print("best of %d: %.*g %s per loop" % (repeat, precision,
usec/units[time_unit], time_unit))
else:
if usec < 1000:
print("best of %d: %.*g usec per loop" % (repeat, precision, usec))
else:
msec = usec / 1000
if msec < 1000:
print("best of %d: %.*g msec per loop" % (repeat,
precision, msec))
else:
sec = msec / 1000
print("best of %d: %.*g sec per loop" % (repeat,
precision, sec))
return None
if __name__ == "__main__":
sys.exit(main())
|