FM / python3.10

/usr/lib/python3.10

Name	Size	Mode	Actions
asyncio/	-	0755	rm
collections/	-	0755	rm
concurrent/	-	0755	rm
config-3.10-x86_64-linux-gnu/	-	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
importlib/	-	0755	rm
json/	-	0755	rm
lib-dynload/	-	0755	rm
lib2to3/	-	0755	rm
logging/	-	0755	rm
multiprocessing/	-	0755	rm
pydoc_data/	-	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
zoneinfo/	-	0755	rm
__pycache__/	-	0755	rm
abc.py	6522	0644	edit dl rm
aifc.py	32605	0644	edit dl rm
antigravity.py	500	0644	edit dl rm
argparse.py	98839	0644	edit dl rm
ast.py	59900	0644	edit dl rm
asynchat.py	11520	0644	edit dl rm
asyncore.py	20268	0644	edit dl rm
base64.py	20846	0755	edit dl rm
bdb.py	32396	0644	edit dl rm
binhex.py	14784	0644	edit dl rm
bisect.py	3135	0644	edit dl rm
bz2.py	11847	0644	edit dl rm
calendar.py	24575	0644	edit dl rm
cgi.py	34099	0755	edit dl rm
cgitb.py	12096	0644	edit dl rm
chunk.py	5435	0644	edit dl rm
cmd.py	14860	0644	edit dl rm
code.py	10622	0644	edit dl rm
codecs.py	36714	0644	edit dl rm
codeop.py	5609	0644	edit dl rm
colorsys.py	4017	0644	edit dl rm
compileall.py	20252	0644	edit dl rm
configparser.py	54612	0644	edit dl rm
contextlib.py	25882	0644	edit dl rm
contextvars.py	129	0644	edit dl rm
copy.py	8681	0644	edit dl rm
copyreg.py	7426	0644	edit dl rm
cProfile.py	6347	0755	edit dl rm
crypt.py	3848	0644	edit dl rm
csv.py	16030	0644	edit dl rm
dataclasses.py	56390	0644	edit dl rm
datetime.py	88086	0644	edit dl rm
decimal.py	320	0644	edit dl rm
difflib.py	83308	0644	edit dl rm
dis.py	20020	0644	edit dl rm
doctest.py	105143	0644	edit dl rm
enum.py	39831	0644	edit dl rm
filecmp.py	10178	0644	edit dl rm
fileinput.py	16442	0644	edit dl rm
fnmatch.py	6713	0644	edit dl rm
fractions.py	28242	0644	edit dl rm
ftplib.py	36001	0644	edit dl rm
functools.py	38076	0644	edit dl rm
genericpath.py	4975	0644	edit dl rm
getopt.py	7489	0644	edit dl rm
getpass.py	5990	0644	edit dl rm
gettext.py	27693	0644	edit dl rm
glob.py	7888	0644	edit dl rm
graphlib.py	9573	0644	edit dl rm
gzip.py	21849	0644	edit dl rm
hashlib.py	10229	0644	edit dl rm
heapq.py	22877	0644	edit dl rm
hmac.py	7717	0644	edit dl rm
imaplib.py	54866	0644	edit dl rm
imghdr.py	3808	0644	edit dl rm
imp.py	10591	0644	edit dl rm
inspect.py	124378	0644	edit dl rm
io.py	4196	0644	edit dl rm
ipaddress.py	77780	0644	edit dl rm
keyword.py	1061	0644	edit dl rm
LICENSE.txt	13936	0644	edit dl rm
linecache.py	5690	0644	edit dl rm
locale.py	78128	0644	edit dl rm
lzma.py	13277	0644	edit dl rm
mailbox.py	78794	0644	edit dl rm
mailcap.py	9116	0644	edit dl rm
mimetypes.py	22539	0644	edit dl rm
modulefinder.py	24401	0644	edit dl rm
netrc.py	5747	0644	edit dl rm
nntplib.py	41023	0644	edit dl rm
ntpath.py	27561	0644	edit dl rm
nturl2path.py	2887	0644	edit dl rm
numbers.py	10348	0644	edit dl rm
opcode.py	5902	0644	edit dl rm
operator.py	10751	0644	edit dl rm
optparse.py	60369	0644	edit dl rm
os.py	39557	0644	edit dl rm
pathlib.py	49575	0644	edit dl rm
pdb.py	63225	0755	edit dl rm
pickle.py	64949	0644	edit dl rm
pickletools.py	93486	0644	edit dl rm
pipes.py	8914	0644	edit dl rm
pkgutil.py	24576	0644	edit dl rm
platform.py	42022	0755	edit dl rm
plistlib.py	28592	0644	edit dl rm
poplib.py	15198	0644	edit dl rm
posixpath.py	16123	0644	edit dl rm
pprint.py	24444	0644	edit dl rm
profile.py	22883	0755	edit dl rm
pstats.py	29326	0644	edit dl rm
pty.py	5213	0644	edit dl rm
pyclbr.py	11396	0644	edit dl rm
pydoc.py	109884	0755	edit dl rm
py_compile.py	7878	0644	edit dl rm
queue.py	11496	0644	edit dl rm
quopri.py	7267	0755	edit dl rm
random.py	33221	0644	edit dl rm
re.py	15860	0644	edit dl rm
reprlib.py	5267	0644	edit dl rm
rlcompleter.py	7817	0644	edit dl rm
runpy.py	13111	0644	edit dl rm
sched.py	6351	0644	edit dl rm
secrets.py	2036	0644	edit dl rm
selectors.py	19536	0644	edit dl rm
shelve.py	8560	0644	edit dl rm
shlex.py	13501	0644	edit dl rm
shutil.py	54572	0644	edit dl rm
signal.py	2438	0644	edit dl rm
site.py	23667	0644	edit dl rm
sitecustomize.py	155	0644	edit dl rm
smtpd.py	35165	0755	edit dl rm
smtplib.py	45418	0755	edit dl rm
sndhdr.py	7099	0644	edit dl rm
socket.py	36785	0644	edit dl rm
socketserver.py	27296	0644	edit dl rm
sre_compile.py	27973	0644	edit dl rm
sre_constants.py	7177	0644	edit dl rm
sre_parse.py	40779	0644	edit dl rm
ssl.py	53725	0644	edit dl rm
stat.py	5485	0644	edit dl rm
statistics.py	43205	0644	edit dl rm
string.py	10566	0644	edit dl rm
stringprep.py	12917	0644	edit dl rm
struct.py	257	0644	edit dl rm
subprocess.py	84917	0644	edit dl rm
sunau.py	18158	0644	edit dl rm
symtable.py	10217	0644	edit dl rm
sysconfig.py	29398	0644	edit dl rm
tabnanny.py	11299	0755	edit dl rm
tarfile.py	108332	0755	edit dl rm
telnetlib.py	23254	0644	edit dl rm
tempfile.py	34567	0644	edit dl rm
textwrap.py	19772	0644	edit dl rm
this.py	1003	0644	edit dl rm
threading.py	57200	0644	edit dl rm
timeit.py	13495	0755	edit dl rm
token.py	2386	0644	edit dl rm
tokenize.py	25921	0644	edit dl rm
trace.py	29215	0755	edit dl rm
traceback.py	26222	0644	edit dl rm
tracemalloc.py	18047	0644	edit dl rm
tty.py	879	0644	edit dl rm
turtle.py	143760	0644	edit dl rm
types.py	10117	0644	edit dl rm
typing.py	92557	0644	edit dl rm
uu.py	7300	0755	edit dl rm
uuid.py	27500	0644	edit dl rm
warnings.py	19688	0644	edit dl rm
wave.py	18004	0644	edit dl rm
weakref.py	21560	0644	edit dl rm
webbrowser.py	24739	0755	edit dl rm
xdrlib.py	5913	0644	edit dl rm
zipapp.py	7535	0644	edit dl rm
zipfile.py	90851	0644	edit dl rm
zipimport.py	30891	0644	edit dl rm
_aix_support.py	3270	0644	edit dl rm
_bootsubprocess.py	2675	0644	edit dl rm
_collections_abc.py	32284	0644	edit dl rm
_compat_pickle.py	8749	0644	edit dl rm
_compression.py	5681	0644	edit dl rm
_distutils_system_mod.py	6312	0644	edit dl rm
_markupbase.py	14653	0644	edit dl rm
_osx_support.py	21787	0644	edit dl rm
_pydecimal.py	228676	0644	edit dl rm
_pyio.py	94467	0644	edit dl rm
_py_abc.py	6189	0644	edit dl rm
_sitebuiltins.py	3128	0644	edit dl rm
_strptime.py	25277	0644	edit dl rm
_sysconfigdata__linux_x86_64-linux-gnu.py	27484	0644	edit dl rm
_sysconfigdata__x86_64-linux-gnu.py	27484	0644	edit dl rm
_threading_local.py	7220	0644	edit dl rm
_weakrefset.py	5923	0644	edit dl rm
__future__.py	5155	0644	edit dl rm
__phello__.foo.py	64	0644	edit dl rm

Edit: /usr/lib/python3.10/profile.py (22883B)

#! /usr/bin/env python3
#
# 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 io
import sys
import time
import marshal

__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 time.process_time() 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.process_time() 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():
    import os
    from optparse import OptionParser

usage = "profile.py [-o output_file_path] [-s sort] [-m module | 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('-m', dest="module", action="store_true",
        help="Profile a library module.", default=False)
    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

# The script that we're profiling may chdir, so capture the absolute path
    # to the output file at startup.
    if options.outfile is not None:
        options.outfile = os.path.abspath(options.outfile)

if len(args) > 0:
        if options.module:
            import runpy
            code = "run_module(modname, run_name='__main__')"
            globs = {
                'run_module': runpy.run_module,
                'modname': args[0]
            }
        else:
            progname = args[0]
            sys.path.insert(0, os.path.dirname(progname))
            with io.open_code(progname) as fp:
                code = compile(fp.read(), progname, 'exec')
            globs = {
                '__file__': progname,
                '__name__': '__main__',
                '__package__': None,
                '__cached__': None,
            }
        try:
            runctx(code, globs, None, options.outfile, options.sort)
        except BrokenPipeError as exc:
            # Prevent "Exception ignored" during interpreter shutdown.
            sys.stdout = None
            sys.exit(exc.errno)
    else:
        parser.print_usage()
    return parser

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

cmd: