FM / python3.6

/usr/lib64/python3.6

Name	Size	Mode	Actions
asyncio/	-	0755	rm
collections/	-	0755	rm
concurrent/	-	0755	rm
config-3.6m-x86_64-linux-gnu/	-	0755	rm
ctypes/	-	0755	rm
curses/	-	0755	rm
dbm/	-	0755	rm
distutils/	-	0755	rm
email/	-	0755	rm
encodings/	-	0755	rm
ensurepip/	-	0755	rm
html/	-	0755	rm
http/	-	0755	rm
importlib/	-	0755	rm
json/	-	0755	rm
lib-dynload/	-	0755	rm
lib2to3/	-	0755	rm
logging/	-	0755	rm
multiprocessing/	-	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	8727	0644	edit dl rm
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cmd.py	14860	0644	edit dl rm
code.py	10614	0644	edit dl rm
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codeop.py	5994	0644	edit dl rm
colorsys.py	4064	0644	edit dl rm
compileall.py	12125	0644	edit dl rm
configparser.py	53592	0644	edit dl rm
contextlib.py	13162	0644	edit dl rm
copy.py	8815	0644	edit dl rm
copyreg.py	7007	0644	edit dl rm
cProfile.py	5380	0755	edit dl rm
crypt.py	1864	0644	edit dl rm
csv.py	16180	0644	edit dl rm
datetime.py	82034	0644	edit dl rm
decimal.py	320	0644	edit dl rm
difflib.py	84377	0644	edit dl rm
dis.py	18132	0644	edit dl rm
doctest.py	104391	0644	edit dl rm
dummy_threading.py	2815	0644	edit dl rm
enum.py	33606	0644	edit dl rm
filecmp.py	9830	0644	edit dl rm
fileinput.py	14471	0644	edit dl rm
fnmatch.py	3166	0644	edit dl rm
formatter.py	15143	0644	edit dl rm
fractions.py	23639	0644	edit dl rm
ftplib.py	35617	0644	edit dl rm
functools.py	31346	0644	edit dl rm
genericpath.py	5028	0644	edit dl rm
getopt.py	7489	0644	edit dl rm
getpass.py	5994	0644	edit dl rm
gettext.py	21530	0644	edit dl rm
glob.py	5638	0644	edit dl rm
gzip.py	20334	0644	edit dl rm
hashlib.py	8799	0644	edit dl rm
heapq.py	22929	0644	edit dl rm
hmac.py	6381	0644	edit dl rm
imaplib.py	53464	0644	edit dl rm
imghdr.py	3795	0644	edit dl rm
imp.py	10669	0644	edit dl rm
inspect.py	116958	0644	edit dl rm
io.py	3517	0644	edit dl rm
ipaddress.py	77818	0644	edit dl rm
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locale.py	77300	0644	edit dl rm
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numbers.py	10243	0644	edit dl rm
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pathlib.py	46238	0644	edit dl rm
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pickle.py	55691	0644	edit dl rm
pickletools.py	91775	0644	edit dl rm
pipes.py	8916	0644	edit dl rm
pkgutil.py	21315	0644	edit dl rm
platform.py	47214	0755	edit dl rm
plistlib.py	32291	0644	edit dl rm
poplib.py	15087	0644	edit dl rm
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profile.py	22029	0755	edit dl rm
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pydoc.py	103501	0644	edit dl rm
py_compile.py	7181	0644	edit dl rm
queue.py	8780	0644	edit dl rm
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random.py	27442	0644	edit dl rm
re.py	15552	0644	edit dl rm
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rlcompleter.py	7097	0644	edit dl rm
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sched.py	6511	0644	edit dl rm
secrets.py	2038	0644	edit dl rm
selectors.py	19438	0644	edit dl rm
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signal.py	2123	0644	edit dl rm
site.py	21268	0644	edit dl rm
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socket.py	27443	0644	edit dl rm
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string.py	11795	0644	edit dl rm
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symbol.py	2119	0755	edit dl rm
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sysconfig.py	24876	0644	edit dl rm
tabnanny.py	11411	0755	edit dl rm
tarfile.py	111776	0755	edit dl rm
telnetlib.py	23136	0644	edit dl rm
tempfile.py	28066	0644	edit dl rm
textwrap.py	19558	0644	edit dl rm
this.py	1003	0644	edit dl rm
threading.py	50136	0644	edit dl rm
timeit.py	13342	0755	edit dl rm
token.py	3075	0644	edit dl rm
tokenize.py	29496	0644	edit dl rm
trace.py	28733	0755	edit dl rm
traceback.py	23458	0644	edit dl rm
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tty.py	879	0644	edit dl rm
types.py	8870	0644	edit dl rm
typing.py	80274	0644	edit dl rm
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uuid.py	24020	0644	edit dl rm
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weakref.py	20466	0644	edit dl rm
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zipapp.py	7157	0644	edit dl rm
zipfile.py	79924	0644	edit dl rm
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__future__.py	4841	0644	edit dl rm
__phello__.foo.py	64	0644	edit dl rm

Edit: /usr/lib64/python3.6/timeit.py (13342B)

#! /usr/libexec/platform-python

"""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').
                Execution time of this setup statement is NOT timed.
  -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{init}):
    {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)

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
        init = ''
        if isinstance(setup, str):
            # Check that the code can be compiled outside a function
            compile(setup, dummy_src_name, "exec")
            stmtprefix = setup + '\n'
            setup = reindent(setup, 4)
        elif callable(setup):
            local_ns['_setup'] = setup
            init += ', _setup=_setup'
            stmtprefix = ''
            setup = '_setup()'
        else:
            raise ValueError("setup is neither a string nor callable")
        if isinstance(stmt, str):
            # Check that the code can be compiled outside a function
            compile(stmtprefix + stmt, dummy_src_name, "exec")
            stmt = reindent(stmt, 8)
        elif callable(stmt):
            local_ns['_stmt'] = stmt
            init += ', _stmt=_stmt'
            stmt = '_stmt()'
        else:
            raise ValueError("stmt is neither a string nor callable")
        src = template.format(stmt=stmt, setup=setup, init=init)
        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"]

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 autorange(self, callback=None):
        """Return the number of loops and time taken so that total time >= 0.2.

Calls the timeit method with *number* set to successive powers of
        ten (10, 100, 1000, ...) up to a maximum of one billion, until
        the time taken is at least 0.2 second, or the maximum is reached.
        Returns ``(number, time_taken)``.

If *callback* is given and is not None, it will be called after
        each trial with two arguments: ``callback(number, time_taken)``.
        """
        for i in range(1, 10):
            number = 10**i
            time_taken = self.timeit(number)
            if callback:
                callback(number, time_taken)
            if time_taken >= 0.2:
                break
        return (number, time_taken)

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
        callback = None
        if verbose:
            def callback(number, time_taken):
                msg = "{num} loops -> {secs:.{prec}g} secs"
                print(msg.format(num=number, secs=time_taken, prec=precision))
        try:
            number, _ = t.autorange(callback)
        except:
            t.print_exc()
            return 1
    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:
        scale = units[time_unit]
    else:
        scales = [(scale, unit) for unit, scale in units.items()]
        scales.sort(reverse=True)
        for scale, time_unit in scales:
            if usec >= scale:
                break
    print("best of %d: %.*g %s per loop" % (repeat, precision,
                                            usec/scale, time_unit))
    best = min(r)
    usec = best * 1e6 / number
    worst = max(r)
    if worst >= best * 4:
        usec = worst * 1e6 / number
        import warnings
        warnings.warn_explicit(
            "The test results are likely unreliable. The worst\n"
            "time (%.*g %s) was more than four times slower than the best time." %
            (precision, usec/scale, time_unit),
             UserWarning, '', 0)
    return None

if __name__ == "__main__":
    sys.exit(main())

cmd: