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
aifc.py	32454	0644	edit dl rm
antigravity.py	477	0644	edit dl rm
argparse.py	90372	0644	edit dl rm
ast.py	12166	0644	edit dl rm
asynchat.py	11328	0644	edit dl rm
asyncore.py	20159	0644	edit dl rm
base64.py	20388	0755	edit dl rm
bdb.py	23556	0644	edit dl rm
binhex.py	13954	0644	edit dl rm
bisect.py	2595	0644	edit dl rm
bz2.py	12478	0644	edit dl rm
calendar.py	23213	0644	edit dl rm
cgi.py	37219	0755	edit dl rm
cgitb.py	12018	0644	edit dl rm
chunk.py	5425	0644	edit dl rm
cmd.py	14860	0644	edit dl rm
code.py	10614	0644	edit dl rm
codecs.py	36276	0644	edit dl rm
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
keyword.py	2219	0755	edit dl rm
linecache.py	5312	0644	edit dl rm
locale.py	77300	0644	edit dl rm
lzma.py	12983	0644	edit dl rm
macpath.py	5971	0644	edit dl rm
macurl2path.py	2732	0644	edit dl rm
mailbox.py	78624	0644	edit dl rm
mailcap.py	9067	0644	edit dl rm
mimetypes.py	21042	0644	edit dl rm
modulefinder.py	23027	0644	edit dl rm
netrc.py	5684	0644	edit dl rm
nntplib.py	43078	0644	edit dl rm
ntpath.py	23094	0644	edit dl rm
nturl2path.py	2444	0644	edit dl rm
numbers.py	10243	0644	edit dl rm
opcode.py	5822	0644	edit dl rm
operator.py	10863	0644	edit dl rm
optparse.py	60371	0644	edit dl rm
os.py	37526	0644	edit dl rm
pathlib.py	46238	0644	edit dl rm
pdb.py	61320	0755	edit dl rm
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
posixpath.py	16324	0644	edit dl rm
pprint.py	20860	0644	edit dl rm
profile.py	22029	0755	edit dl rm
pstats.py	26564	0644	edit dl rm
pty.py	4763	0644	edit dl rm
pyclbr.py	13558	0644	edit dl rm
pydoc.py	103501	0644	edit dl rm
py_compile.py	7181	0644	edit dl rm
queue.py	8780	0644	edit dl rm
quopri.py	7262	0755	edit dl rm
random.py	27442	0644	edit dl rm
re.py	15552	0644	edit dl rm
reprlib.py	5336	0644	edit dl rm
rlcompleter.py	7097	0644	edit dl rm
runpy.py	11959	0644	edit dl rm
sched.py	6511	0644	edit dl rm
secrets.py	2038	0644	edit dl rm
selectors.py	19438	0644	edit dl rm
shelve.py	8515	0644	edit dl rm
shlex.py	12956	0644	edit dl rm
shutil.py	40829	0644	edit dl rm
signal.py	2123	0644	edit dl rm
site.py	21268	0644	edit dl rm
smtpd.py	34719	0755	edit dl rm
smtplib.py	44218	0755	edit dl rm
sndhdr.py	7088	0644	edit dl rm
socket.py	27443	0644	edit dl rm
socketserver.py	27010	0644	edit dl rm
sre_compile.py	19338	0644	edit dl rm
sre_constants.py	6821	0644	edit dl rm
sre_parse.py	36536	0644	edit dl rm
ssl.py	44509	0644	edit dl rm
stat.py	5038	0644	edit dl rm
statistics.py	20673	0644	edit dl rm
string.py	11795	0644	edit dl rm
stringprep.py	12917	0644	edit dl rm
struct.py	257	0644	edit dl rm
subprocess.py	62339	0644	edit dl rm
sunau.py	18095	0644	edit dl rm
symbol.py	2119	0755	edit dl rm
symtable.py	7277	0644	edit dl rm
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
tracemalloc.py	16658	0644	edit dl rm
tty.py	879	0644	edit dl rm
types.py	8870	0644	edit dl rm
typing.py	80274	0644	edit dl rm
uu.py	6763	0755	edit dl rm
uuid.py	24020	0644	edit dl rm
warnings.py	18488	0644	edit dl rm
wave.py	17709	0644	edit dl rm
weakref.py	20466	0644	edit dl rm
webbrowser.py	22266	0755	edit dl rm
xdrlib.py	5913	0644	edit dl rm
zipapp.py	7157	0644	edit dl rm
zipfile.py	79924	0644	edit dl rm
_bootlocale.py	1301	0644	edit dl rm
_collections_abc.py	26392	0644	edit dl rm
_compat_pickle.py	8749	0644	edit dl rm
_compression.py	5340	0644	edit dl rm
_dummy_thread.py	5118	0644	edit dl rm
_markupbase.py	14598	0644	edit dl rm
_osx_support.py	19138	0644	edit dl rm
_pydecimal.py	230228	0644	edit dl rm
_pyio.py	88097	0644	edit dl rm
_sitebuiltins.py	3115	0644	edit dl rm
_strptime.py	24747	0644	edit dl rm
_sysconfigdata_dm_linux_x86_64-linux-gnu.py	30191	0644	edit dl rm
_sysconfigdata_m_linux_x86_64-linux-gnu.py	30367	0644	edit dl rm
_threading_local.py	7214	0644	edit dl rm
_weakrefset.py	5705	0644	edit dl rm
__future__.py	4841	0644	edit dl rm
__phello__.foo.py	64	0644	edit dl rm

Edit: /usr/lib64/python3.6/profile.py (22029B)

#! /usr/libexec/platform-python
#
# Class for profiling python code. rev 1.0  6/2/94
#
# Written by James Roskind
# Based on prior profile module by Sjoerd Mullender...
#   which was hacked somewhat by: Guido van Rossum

"""Class for profiling Python code."""

# Copyright Disney Enterprises, Inc.  All Rights Reserved.
# Licensed to PSF under a Contributor Agreement
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
# either express or implied.  See the License for the specific language
# governing permissions and limitations under the License.

import sys
import os
import time
import marshal
from optparse import OptionParser

__all__ = ["run", "runctx", "Profile"]

# Sample timer for use with
#i_count = 0
#def integer_timer():
#       global i_count
#       i_count = i_count + 1
#       return i_count
#itimes = integer_timer # replace with C coded timer returning integers

class _Utils:
    """Support class for utility functions which are shared by
    profile.py and cProfile.py modules.
    Not supposed to be used directly.
    """

def __init__(self, profiler):
        self.profiler = profiler

def run(self, statement, filename, sort):
        prof = self.profiler()
        try:
            prof.run(statement)
        except SystemExit:
            pass
        finally:
            self._show(prof, filename, sort)

def runctx(self, statement, globals, locals, filename, sort):
        prof = self.profiler()
        try:
            prof.runctx(statement, globals, locals)
        except SystemExit:
            pass
        finally:
            self._show(prof, filename, sort)

def _show(self, prof, filename, sort):
        if filename is not None:
            prof.dump_stats(filename)
        else:
            prof.print_stats(sort)

#**************************************************************************
# The following are the static member functions for the profiler class
# Note that an instance of Profile() is *not* needed to call them.
#**************************************************************************

def run(statement, filename=None, sort=-1):
    """Run statement under profiler optionally saving results in filename

This function takes a single argument that can be passed to the
    "exec" statement, and an optional file name.  In all cases this
    routine attempts to "exec" its first argument and gather profiling
    statistics from the execution. If no file name is present, then this
    function automatically prints a simple profiling report, sorted by the
    standard name string (file/line/function-name) that is presented in
    each line.
    """
    return _Utils(Profile).run(statement, filename, sort)

def runctx(statement, globals, locals, filename=None, sort=-1):
    """Run statement under profiler, supplying your own globals and locals,
    optionally saving results in filename.

statement and filename have the same semantics as profile.run
    """
    return _Utils(Profile).runctx(statement, globals, locals, filename, sort)

class Profile:
    """Profiler class.

self.cur is always a tuple.  Each such tuple corresponds to a stack
    frame that is currently active (self.cur[-2]).  The following are the
    definitions of its members.  We use this external "parallel stack" to
    avoid contaminating the program that we are profiling. (old profiler
    used to write into the frames local dictionary!!) Derived classes
    can change the definition of some entries, as long as they leave
    [-2:] intact (frame and previous tuple).  In case an internal error is
    detected, the -3 element is used as the function name.

[ 0] = Time that needs to be charged to the parent frame's function.
           It is used so that a function call will not have to access the
           timing data for the parent frame.
    [ 1] = Total time spent in this frame's function, excluding time in
           subfunctions (this latter is tallied in cur[2]).
    [ 2] = Total time spent in subfunctions, excluding time executing the
           frame's function (this latter is tallied in cur[1]).
    [-3] = Name of the function that corresponds to this frame.
    [-2] = Actual frame that we correspond to (used to sync exception handling).
    [-1] = Our parent 6-tuple (corresponds to frame.f_back).

Timing data for each function is stored as a 5-tuple in the dictionary
    self.timings[].  The index is always the name stored in self.cur[-3].
    The following are the definitions of the members:

[0] = The number of times this function was called, not counting direct
          or indirect recursion,
    [1] = Number of times this function appears on the stack, minus one
    [2] = Total time spent internal to this function
    [3] = Cumulative time that this function was present on the stack.  In
          non-recursive functions, this is the total execution time from start
          to finish of each invocation of a function, including time spent in
          all subfunctions.
    [4] = A dictionary indicating for each function name, the number of times
          it was called by us.
    """

bias = 0  # calibration constant

def __init__(self, timer=None, bias=None):
        self.timings = {}
        self.cur = None
        self.cmd = ""
        self.c_func_name = ""

if bias is None:
            bias = self.bias
        self.bias = bias     # Materialize in local dict for lookup speed.

if not timer:
            self.timer = self.get_time = time.process_time
            self.dispatcher = self.trace_dispatch_i
        else:
            self.timer = timer
            t = self.timer() # test out timer function
            try:
                length = len(t)
            except TypeError:
                self.get_time = timer
                self.dispatcher = self.trace_dispatch_i
            else:
                if length == 2:
                    self.dispatcher = self.trace_dispatch
                else:
                    self.dispatcher = self.trace_dispatch_l
                # This get_time() implementation needs to be defined
                # here to capture the passed-in timer in the parameter
                # list (for performance).  Note that we can't assume
                # the timer() result contains two values in all
                # cases.
                def get_time_timer(timer=timer, sum=sum):
                    return sum(timer())
                self.get_time = get_time_timer
        self.t = self.get_time()
        self.simulate_call('profiler')

# Heavily optimized dispatch routine for os.times() timer

def trace_dispatch(self, frame, event, arg):
        timer = self.timer
        t = timer()
        t = t[0] + t[1] - self.t - self.bias

if event == "c_call":
            self.c_func_name = arg.__name__

if self.dispatch[event](self, frame,t):
            t = timer()
            self.t = t[0] + t[1]
        else:
            r = timer()
            self.t = r[0] + r[1] - t # put back unrecorded delta

# Dispatch routine for best timer program (return = scalar, fastest if
    # an integer but float works too -- and time.clock() relies on that).

def trace_dispatch_i(self, frame, event, arg):
        timer = self.timer
        t = timer() - self.t - self.bias

if event == "c_call":
            self.c_func_name = arg.__name__

if self.dispatch[event](self, frame, t):
            self.t = timer()
        else:
            self.t = timer() - t  # put back unrecorded delta

# Dispatch routine for macintosh (timer returns time in ticks of
    # 1/60th second)

def trace_dispatch_mac(self, frame, event, arg):
        timer = self.timer
        t = timer()/60.0 - self.t - self.bias

if event == "c_call":
            self.c_func_name = arg.__name__

if self.dispatch[event](self, frame, t):
            self.t = timer()/60.0
        else:
            self.t = timer()/60.0 - t  # put back unrecorded delta

# SLOW generic dispatch routine for timer returning lists of numbers

def trace_dispatch_l(self, frame, event, arg):
        get_time = self.get_time
        t = get_time() - self.t - self.bias

if event == "c_call":
            self.c_func_name = arg.__name__

if self.dispatch[event](self, frame, t):
            self.t = get_time()
        else:
            self.t = get_time() - t # put back unrecorded delta

# In the event handlers, the first 3 elements of self.cur are unpacked
    # into vrbls w/ 3-letter names.  The last two characters are meant to be
    # mnemonic:
    #     _pt  self.cur[0] "parent time"   time to be charged to parent frame
    #     _it  self.cur[1] "internal time" time spent directly in the function
    #     _et  self.cur[2] "external time" time spent in subfunctions

def trace_dispatch_exception(self, frame, t):
        rpt, rit, ret, rfn, rframe, rcur = self.cur
        if (rframe is not frame) and rcur:
            return self.trace_dispatch_return(rframe, t)
        self.cur = rpt, rit+t, ret, rfn, rframe, rcur
        return 1

def trace_dispatch_call(self, frame, t):
        if self.cur and frame.f_back is not self.cur[-2]:
            rpt, rit, ret, rfn, rframe, rcur = self.cur
            if not isinstance(rframe, Profile.fake_frame):
                assert rframe.f_back is frame.f_back, ("Bad call", rfn,
                                                       rframe, rframe.f_back,
                                                       frame, frame.f_back)
                self.trace_dispatch_return(rframe, 0)
                assert (self.cur is None or \
                        frame.f_back is self.cur[-2]), ("Bad call",
                                                        self.cur[-3])
        fcode = frame.f_code
        fn = (fcode.co_filename, fcode.co_firstlineno, fcode.co_name)
        self.cur = (t, 0, 0, fn, frame, self.cur)
        timings = self.timings
        if fn in timings:
            cc, ns, tt, ct, callers = timings[fn]
            timings[fn] = cc, ns + 1, tt, ct, callers
        else:
            timings[fn] = 0, 0, 0, 0, {}
        return 1

def trace_dispatch_c_call (self, frame, t):
        fn = ("", 0, self.c_func_name)
        self.cur = (t, 0, 0, fn, frame, self.cur)
        timings = self.timings
        if fn in timings:
            cc, ns, tt, ct, callers = timings[fn]
            timings[fn] = cc, ns+1, tt, ct, callers
        else:
            timings[fn] = 0, 0, 0, 0, {}
        return 1

def trace_dispatch_return(self, frame, t):
        if frame is not self.cur[-2]:
            assert frame is self.cur[-2].f_back, ("Bad return", self.cur[-3])
            self.trace_dispatch_return(self.cur[-2], 0)

# Prefix "r" means part of the Returning or exiting frame.
        # Prefix "p" means part of the Previous or Parent or older frame.

rpt, rit, ret, rfn, frame, rcur = self.cur
        rit = rit + t
        frame_total = rit + ret

ppt, pit, pet, pfn, pframe, pcur = rcur
        self.cur = ppt, pit + rpt, pet + frame_total, pfn, pframe, pcur

timings = self.timings
        cc, ns, tt, ct, callers = timings[rfn]
        if not ns:
            # This is the only occurrence of the function on the stack.
            # Else this is a (directly or indirectly) recursive call, and
            # its cumulative time will get updated when the topmost call to
            # it returns.
            ct = ct + frame_total
            cc = cc + 1

if pfn in callers:
            callers[pfn] = callers[pfn] + 1  # hack: gather more
            # stats such as the amount of time added to ct courtesy
            # of this specific call, and the contribution to cc
            # courtesy of this call.
        else:
            callers[pfn] = 1

timings[rfn] = cc, ns - 1, tt + rit, ct, callers

return 1

dispatch = {
        "call": trace_dispatch_call,
        "exception": trace_dispatch_exception,
        "return": trace_dispatch_return,
        "c_call": trace_dispatch_c_call,
        "c_exception": trace_dispatch_return,  # the C function returned
        "c_return": trace_dispatch_return,
        }

# The next few functions play with self.cmd. By carefully preloading
    # our parallel stack, we can force the profiled result to include
    # an arbitrary string as the name of the calling function.
    # We use self.cmd as that string, and the resulting stats look
    # very nice :-).

def set_cmd(self, cmd):
        if self.cur[-1]: return   # already set
        self.cmd = cmd
        self.simulate_call(cmd)

class fake_code:
        def __init__(self, filename, line, name):
            self.co_filename = filename
            self.co_line = line
            self.co_name = name
            self.co_firstlineno = 0

def __repr__(self):
            return repr((self.co_filename, self.co_line, self.co_name))

class fake_frame:
        def __init__(self, code, prior):
            self.f_code = code
            self.f_back = prior

def simulate_call(self, name):
        code = self.fake_code('profile', 0, name)
        if self.cur:
            pframe = self.cur[-2]
        else:
            pframe = None
        frame = self.fake_frame(code, pframe)
        self.dispatch['call'](self, frame, 0)

# collect stats from pending stack, including getting final
    # timings for self.cmd frame.

def simulate_cmd_complete(self):
        get_time = self.get_time
        t = get_time() - self.t
        while self.cur[-1]:
            # We *can* cause assertion errors here if
            # dispatch_trace_return checks for a frame match!
            self.dispatch['return'](self, self.cur[-2], t)
            t = 0
        self.t = get_time() - t

def print_stats(self, sort=-1):
        import pstats
        pstats.Stats(self).strip_dirs().sort_stats(sort). \
                  print_stats()

def dump_stats(self, file):
        with open(file, 'wb') as f:
            self.create_stats()
            marshal.dump(self.stats, f)

def create_stats(self):
        self.simulate_cmd_complete()
        self.snapshot_stats()

def snapshot_stats(self):
        self.stats = {}
        for func, (cc, ns, tt, ct, callers) in self.timings.items():
            callers = callers.copy()
            nc = 0
            for callcnt in callers.values():
                nc += callcnt
            self.stats[func] = cc, nc, tt, ct, callers

# The following two methods can be called by clients to use
    # a profiler to profile a statement, given as a string.

def run(self, cmd):
        import __main__
        dict = __main__.__dict__
        return self.runctx(cmd, dict, dict)

def runctx(self, cmd, globals, locals):
        self.set_cmd(cmd)
        sys.setprofile(self.dispatcher)
        try:
            exec(cmd, globals, locals)
        finally:
            sys.setprofile(None)
        return self

# This method is more useful to profile a single function call.
    def runcall(self, func, *args, **kw):
        self.set_cmd(repr(func))
        sys.setprofile(self.dispatcher)
        try:
            return func(*args, **kw)
        finally:
            sys.setprofile(None)

#******************************************************************
    # The following calculates the overhead for using a profiler.  The
    # problem is that it takes a fair amount of time for the profiler
    # to stop the stopwatch (from the time it receives an event).
    # Similarly, there is a delay from the time that the profiler
    # re-starts the stopwatch before the user's code really gets to
    # continue.  The following code tries to measure the difference on
    # a per-event basis.
    #
    # Note that this difference is only significant if there are a lot of
    # events, and relatively little user code per event.  For example,
    # code with small functions will typically benefit from having the
    # profiler calibrated for the current platform.  This *could* be
    # done on the fly during init() time, but it is not worth the
    # effort.  Also note that if too large a value specified, then
    # execution time on some functions will actually appear as a
    # negative number.  It is *normal* for some functions (with very
    # low call counts) to have such negative stats, even if the
    # calibration figure is "correct."
    #
    # One alternative to profile-time calibration adjustments (i.e.,
    # adding in the magic little delta during each event) is to track
    # more carefully the number of events (and cumulatively, the number
    # of events during sub functions) that are seen.  If this were
    # done, then the arithmetic could be done after the fact (i.e., at
    # display time).  Currently, we track only call/return events.
    # These values can be deduced by examining the callees and callers
    # vectors for each functions.  Hence we *can* almost correct the
    # internal time figure at print time (note that we currently don't
    # track exception event processing counts).  Unfortunately, there
    # is currently no similar information for cumulative sub-function
    # time.  It would not be hard to "get all this info" at profiler
    # time.  Specifically, we would have to extend the tuples to keep
    # counts of this in each frame, and then extend the defs of timing
    # tuples to include the significant two figures. I'm a bit fearful
    # that this additional feature will slow the heavily optimized
    # event/time ratio (i.e., the profiler would run slower, fur a very
    # low "value added" feature.)
    #**************************************************************

def calibrate(self, m, verbose=0):
        if self.__class__ is not Profile:
            raise TypeError("Subclasses must override .calibrate().")

saved_bias = self.bias
        self.bias = 0
        try:
            return self._calibrate_inner(m, verbose)
        finally:
            self.bias = saved_bias

def _calibrate_inner(self, m, verbose):
        get_time = self.get_time

# Set up a test case to be run with and without profiling.  Include
        # lots of calls, because we're trying to quantify stopwatch overhead.
        # Do not raise any exceptions, though, because we want to know
        # exactly how many profile events are generated (one call event, +
        # one return event, per Python-level call).

def f1(n):
            for i in range(n):
                x = 1

def f(m, f1=f1):
            for i in range(m):
                f1(100)

f(m)    # warm up the cache

# elapsed_noprofile <- time f(m) takes without profiling.
        t0 = get_time()
        f(m)
        t1 = get_time()
        elapsed_noprofile = t1 - t0
        if verbose:
            print("elapsed time without profiling =", elapsed_noprofile)

# elapsed_profile <- time f(m) takes with profiling.  The difference
        # is profiling overhead, only some of which the profiler subtracts
        # out on its own.
        p = Profile()
        t0 = get_time()
        p.runctx('f(m)', globals(), locals())
        t1 = get_time()
        elapsed_profile = t1 - t0
        if verbose:
            print("elapsed time with profiling =", elapsed_profile)

# reported_time <- "CPU seconds" the profiler charged to f and f1.
        total_calls = 0.0
        reported_time = 0.0
        for (filename, line, funcname), (cc, ns, tt, ct, callers) in \
                p.timings.items():
            if funcname in ("f", "f1"):
                total_calls += cc
                reported_time += tt

if verbose:
            print("'CPU seconds' profiler reported =", reported_time)
            print("total # calls =", total_calls)
        if total_calls != m + 1:
            raise ValueError("internal error: total calls = %d" % total_calls)

# reported_time - elapsed_noprofile = overhead the profiler wasn't
        # able to measure.  Divide by twice the number of calls (since there
        # are two profiler events per call in this test) to get the hidden
        # overhead per event.
        mean = (reported_time - elapsed_noprofile) / 2.0 / total_calls
        if verbose:
            print("mean stopwatch overhead per profile event =", mean)
        return mean

#****************************************************************************

def main():
    usage = "profile.py [-o output_file_path] [-s sort] scriptfile [arg] ..."
    parser = OptionParser(usage=usage)
    parser.allow_interspersed_args = False
    parser.add_option('-o', '--outfile', dest="outfile",
        help="Save stats to <outfile>", default=None)
    parser.add_option('-s', '--sort', dest="sort",
        help="Sort order when printing to stdout, based on pstats.Stats class",
        default=-1)

if not sys.argv[1:]:
        parser.print_usage()
        sys.exit(2)

(options, args) = parser.parse_args()
    sys.argv[:] = args

if len(args) > 0:
        progname = args[0]
        sys.path.insert(0, os.path.dirname(progname))
        with open(progname, 'rb') as fp:
            code = compile(fp.read(), progname, 'exec')
        globs = {
            '__file__': progname,
            '__name__': '__main__',
            '__package__': None,
            '__cached__': None,
        }
        runctx(code, globs, None, options.outfile, options.sort)
    else:
        parser.print_usage()
    return parser

# When invoked as main program, invoke the profiler on a script
if __name__ == '__main__':
    main()

cmd: