FM / python3.3

/opt/alt/python33/lib64/python3.3

Name	Size	Mode	Actions
collections/	-	0755	rm
concurrent/	-	0755	rm
config-3.3m/	-	0755	rm
ctypes/	-	0755	rm
curses/	-	0755	rm
dbm/	-	0755	rm
distutils/	-	0755	rm
email/	-	0755	rm
encodings/	-	0755	rm
html/	-	0755	rm
http/	-	0755	rm
idlelib/	-	0755	rm
importlib/	-	0755	rm
json/	-	0755	rm
lib-dynload/	-	0755	rm
lib2to3/	-	0755	rm
logging/	-	0755	rm
multiprocessing/	-	0755	rm
plat-linux/	-	0755	rm
pydoc_data/	-	0755	rm
site-packages/	-	0755	rm
sqlite3/	-	0755	rm
test/	-	0755	rm
unittest/	-	0755	rm
urllib/	-	0755	rm
venv/	-	0755	rm
wsgiref/	-	0755	rm
xml/	-	0755	rm
xmlrpc/	-	0755	rm
__pycache__/	-	0755	rm
abc.py	8057	0644	edit dl rm
aifc.py	31054	0644	edit dl rm
antigravity.py	475	0644	edit dl rm
argparse.py	89069	0644	edit dl rm
ast.py	12142	0644	edit dl rm
asynchat.py	11588	0644	edit dl rm
asyncore.py	20753	0644	edit dl rm
base64.py	13986	0755	edit dl rm
bdb.py	21894	0644	edit dl rm
binhex.py	13708	0644	edit dl rm
bisect.py	2595	0644	edit dl rm
bz2.py	18473	0644	edit dl rm
calendar.py	22940	0644	edit dl rm
cgi.py	35554	0755	edit dl rm
cgitb.py	12041	0644	edit dl rm
chunk.py	5377	0644	edit dl rm
cmd.py	14860	0644	edit dl rm
code.py	10030	0644	edit dl rm
codecs.py	35956	0644	edit dl rm
codeop.py	5994	0644	edit dl rm
colorsys.py	3691	0644	edit dl rm
compileall.py	9743	0644	edit dl rm
configparser.py	49437	0644	edit dl rm
contextlib.py	9125	0644	edit dl rm
copy.py	8991	0644	edit dl rm
copyreg.py	6611	0644	edit dl rm
cProfile.py	6361	0755	edit dl rm
crypt.py	1879	0644	edit dl rm
csv.py	16185	0644	edit dl rm
datetime.py	74954	0644	edit dl rm
decimal.py	228558	0644	edit dl rm
difflib.py	82519	0644	edit dl rm
dis.py	10134	0644	edit dl rm
doctest.py	102933	0644	edit dl rm
dummy_threading.py	2815	0644	edit dl rm
filecmp.py	9597	0644	edit dl rm
fileinput.py	14256	0644	edit dl rm
fnmatch.py	3163	0644	edit dl rm
formatter.py	14930	0644	edit dl rm
fractions.py	23033	0644	edit dl rm
ftplib.py	40253	0644	edit dl rm
functools.py	13596	0644	edit dl rm
genericpath.py	3093	0644	edit dl rm
getopt.py	7488	0644	edit dl rm
getpass.py	5793	0644	edit dl rm
gettext.py	20637	0644	edit dl rm
glob.py	2838	0644	edit dl rm
gzip.py	24403	0644	edit dl rm
hashlib.py	6193	0644	edit dl rm
heapq.py	17997	0644	edit dl rm
hmac.py	4440	0644	edit dl rm
imaplib.py	50111	0644	edit dl rm
imghdr.py	3528	0644	edit dl rm
imp.py	9727	0644	edit dl rm
inspect.py	78960	0644	edit dl rm
io.py	3280	0644	edit dl rm
ipaddress.py	70303	0644	edit dl rm
keyword.py	2060	0755	edit dl rm
linecache.py	3864	0644	edit dl rm
locale.py	93215	0644	edit dl rm
lzma.py	17454	0644	edit dl rm
macpath.py	5617	0644	edit dl rm
macurl2path.py	2732	0644	edit dl rm
mailbox.py	79093	0644	edit dl rm
mailcap.py	7437	0644	edit dl rm
mimetypes.py	20735	0644	edit dl rm
modulefinder.py	23198	0644	edit dl rm
netrc.py	5747	0644	edit dl rm
nntplib.py	42786	0644	edit dl rm
ntpath.py	20437	0644	edit dl rm
nturl2path.py	2396	0644	edit dl rm
numbers.py	10398	0644	edit dl rm
opcode.py	5098	0644	edit dl rm
optparse.py	60346	0644	edit dl rm
os.py	34779	0644	edit dl rm
os2emxpath.py	4659	0644	edit dl rm
pdb.py	60653	0755	edit dl rm
pickle.py	47858	0644	edit dl rm
pickletools.py	81349	0644	edit dl rm
pipes.py	8916	0644	edit dl rm
pkgutil.py	21539	0644	edit dl rm
platform.py	50742	0755	edit dl rm
plistlib.py	14777	0644	edit dl rm
poplib.py	11372	0644	edit dl rm
posixpath.py	14254	0644	edit dl rm
pprint.py	12700	0644	edit dl rm
profile.py	21448	0755	edit dl rm
pstats.py	26372	0644	edit dl rm
pty.py	5055	0644	edit dl rm
pyclbr.py	13438	0644	edit dl rm
pydoc.py	101644	0755	edit dl rm
py_compile.py	6717	0644	edit dl rm
queue.py	8835	0644	edit dl rm
quopri.py	7315	0755	edit dl rm
random.py	25660	0644	edit dl rm
re.py	14973	0644	edit dl rm
reprlib.py	5110	0644	edit dl rm
rlcompleter.py	5526	0644	edit dl rm
runpy.py	10413	0644	edit dl rm
sched.py	6399	0644	edit dl rm
shelve.py	8243	0644	edit dl rm
shlex.py	11502	0644	edit dl rm
shutil.py	39147	0644	edit dl rm
site.py	21971	0644	edit dl rm
smtpd.py	30207	0755	edit dl rm
smtplib.py	38021	0755	edit dl rm
sndhdr.py	6219	0644	edit dl rm
socket.py	14913	0644	edit dl rm
socketserver.py	24196	0644	edit dl rm
sre_compile.py	16345	0644	edit dl rm
sre_constants.py	7231	0644	edit dl rm
sre_parse.py	30212	0644	edit dl rm
ssl.py	24478	0644	edit dl rm
stat.py	4304	0644	edit dl rm
string.py	9410	0644	edit dl rm
stringprep.py	12917	0644	edit dl rm
struct.py	238	0644	edit dl rm
subprocess.py	67578	0644	edit dl rm
sunau.py	17523	0644	edit dl rm
symbol.py	2051	0755	edit dl rm
symtable.py	7383	0644	edit dl rm
sysconfig.py	25174	0644	edit dl rm
tabnanny.py	11410	0755	edit dl rm
tarfile.py	88864	0755	edit dl rm
telnetlib.py	27349	0644	edit dl rm
tempfile.py	23013	0644	edit dl rm
textwrap.py	16488	0644	edit dl rm
this.py	1003	0644	edit dl rm
threading.py	45641	0644	edit dl rm
timeit.py	12395	0755	edit dl rm
token.py	3034	0644	edit dl rm
tokenize.py	24876	0644	edit dl rm
trace.py	31487	0755	edit dl rm
traceback.py	11982	0644	edit dl rm
tty.py	879	0644	edit dl rm
types.py	3167	0644	edit dl rm
uu.py	6766	0755	edit dl rm
uuid.py	22349	0644	edit dl rm
warnings.py	13825	0644	edit dl rm
wave.py	18579	0644	edit dl rm
weakref.py	11495	0644	edit dl rm
webbrowser.py	22913	0755	edit dl rm
xdrlib.py	5381	0644	edit dl rm
zipfile.py	66424	0644	edit dl rm
_compat_pickle.py	4338	0644	edit dl rm
_dummy_thread.py	4769	0644	edit dl rm
_markupbase.py	14598	0644	edit dl rm
_osx_support.py	18855	0644	edit dl rm
_pyio.py	72905	0644	edit dl rm
_strptime.py	21674	0644	edit dl rm
_sysconfigdata.py	21056	0644	edit dl rm
_threading_local.py	7410	0644	edit dl rm
_weakrefset.py	5705	0644	edit dl rm
__future__.py	4584	0644	edit dl rm
__phello__.foo.py	64	0644	edit dl rm

Edit: /opt/alt/python33/lib64/python3.3/timeit.py (12395B)

#! /opt/alt/python33/bin/python3.3

"""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
  -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.

The difference in default timer function is because on Windows,
clock() has microsecond granularity but time()'s granularity is 1/60th
of a second; on Unix, clock() has 1/100th of a second granularity and
time() is much more precise.  On either platform, the default timer
functions measure 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; 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
be aware of it.  The baseline overhead can be measured by invoking the
program without arguments.

The baseline overhead differs between Python versions!  Also, to
fairly compare older Python versions to Python 2.3, you may want to
use python -O for the older versions to avoid timing SET_LINENO
instructions.
"""

import gc
import sys
import time
try:
    import itertools
except ImportError:
    # Must be an older Python version (see timeit() below)
    itertools = None

__all__ = ["Timer"]

dummy_src_name = "<timeit-src>"
default_number = 1000000
default_repeat = 3
default_timer = time.perf_counter

# 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).

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):
        """Constructor.  See class doc string."""
        self.timer = timer
        ns = {}
        if isinstance(stmt, str):
            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()')
                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, globals(), ns)
            self.inner = ns["inner"]
        elif callable(stmt):
            self.src = None
            if isinstance(setup, str):
                _setup = setup
                def setup():
                    exec(_setup, globals(), 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.
        """
        if itertools:
            it = itertools.repeat(None, number)
        else:
            it = [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):
    """Convenience function to create Timer object and call timeit method."""
    return Timer(stmt, setup, timer).timeit(number)

def repeat(stmt="pass", setup="pass", timer=default_timer,
           repeat=default_repeat, number=default_number):
    """Convenience function to create Timer object and call repeat method."""
    return Timer(stmt, setup, timer).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:s:r:tcpvh",
                                   ["number=", "setup=", "repeat=",
                                    "time", "clock", "process",
                                    "verbose", "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
    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 ("-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 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())

cmd: