FM / python3.7

/opt/alt/python37/lib64/python3.7

Name	Size	Mode	Actions
asyncio/	-	0755	rm
collections/	-	0755	rm
concurrent/	-	0755	rm
config-3.7m/	-	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
idlelib/	-	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	5580	0644	edit dl rm
aifc.py	32814	0644	edit dl rm
antigravity.py	477	0644	edit dl rm
argparse.py	95372	0644	edit dl rm
ast.py	12842	0644	edit dl rm
asynchat.py	11328	0644	edit dl rm
asyncore.py	20118	0644	edit dl rm
base64.py	20393	0755	edit dl rm
bdb.py	31730	0644	edit dl rm
binhex.py	13954	0644	edit dl rm
bisect.py	2557	0644	edit dl rm
bz2.py	12410	0644	edit dl rm
calendar.py	24826	0644	edit dl rm
cgi.py	35050	0755	edit dl rm
cgitb.py	12018	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	36615	0644	edit dl rm
codeop.py	6275	0644	edit dl rm
colorsys.py	4064	0644	edit dl rm
compileall.py	13788	0644	edit dl rm
configparser.py	54283	0644	edit dl rm
contextlib.py	24763	0644	edit dl rm
contextvars.py	129	0644	edit dl rm
copy.py	8856	0644	edit dl rm
copyreg.py	7017	0644	edit dl rm
cProfile.py	6253	0755	edit dl rm
crypt.py	3346	0644	edit dl rm
csv.py	16180	0644	edit dl rm
dataclasses.py	49520	0644	edit dl rm
datetime.py	86544	0644	edit dl rm
decimal.py	320	0644	edit dl rm
difflib.py	84393	0644	edit dl rm
dis.py	19888	0644	edit dl rm
doctest.py	104560	0644	edit dl rm
dummy_threading.py	2815	0644	edit dl rm
enum.py	35043	0644	edit dl rm
filecmp.py	9830	0644	edit dl rm
fileinput.py	14625	0644	edit dl rm
fnmatch.py	4056	0644	edit dl rm
formatter.py	15143	0644	edit dl rm
fractions.py	23752	0644	edit dl rm
ftplib.py	35618	0644	edit dl rm
functools.py	32932	0644	edit dl rm
genericpath.py	4912	0644	edit dl rm
getopt.py	7489	0644	edit dl rm
getpass.py	5994	0644	edit dl rm
gettext.py	21967	0644	edit dl rm
glob.py	5638	0644	edit dl rm
gzip.py	20637	0644	edit dl rm
hashlib.py	9534	0644	edit dl rm
heapq.py	23017	0644	edit dl rm
hmac.py	6517	0644	edit dl rm
imaplib.py	53292	0644	edit dl rm
imghdr.py	3795	0644	edit dl rm
imp.py	10536	0644	edit dl rm
inspect.py	117635	0644	edit dl rm
io.py	3517	0644	edit dl rm
ipaddress.py	73578	0644	edit dl rm
keyword.py	2256	0755	edit dl rm
linecache.py	5330	0644	edit dl rm
locale.py	78191	0644	edit dl rm
lzma.py	12983	0644	edit dl rm
macpath.py	6123	0644	edit dl rm
mailbox.py	78654	0644	edit dl rm
mailcap.py	9067	0644	edit dl rm
mimetypes.py	21496	0644	edit dl rm
modulefinder.py	23035	0644	edit dl rm
netrc.py	5566	0644	edit dl rm
nntplib.py	43087	0644	edit dl rm
ntpath.py	22340	0644	edit dl rm
nturl2path.py	2584	0644	edit dl rm
numbers.py	10244	0644	edit dl rm
opcode.py	5824	0644	edit dl rm
operator.py	10863	0644	edit dl rm
optparse.py	60371	0644	edit dl rm
os.py	37901	0644	edit dl rm
pathlib.py	50329	0644	edit dl rm
pdb.py	62505	0755	edit dl rm
pickle.py	57994	0644	edit dl rm
pickletools.py	91220	0644	edit dl rm
pipes.py	8916	0644	edit dl rm
pkgutil.py	21461	0644	edit dl rm
platform.py	46994	0755	edit dl rm
plistlib.py	30709	0644	edit dl rm
poplib.py	14964	0644	edit dl rm
posixpath.py	15771	0644	edit dl rm
pprint.py	20884	0644	edit dl rm
profile.py	22494	0755	edit dl rm
pstats.py	27315	0644	edit dl rm
pty.py	4763	0644	edit dl rm
pyclbr.py	15137	0644	edit dl rm
pydoc.py	105876	0644	edit dl rm
py_compile.py	8001	0644	edit dl rm
queue.py	11359	0644	edit dl rm
quopri.py	7265	0755	edit dl rm
random.py	27557	0644	edit dl rm
re.py	15306	0644	edit dl rm
reprlib.py	5267	0644	edit dl rm
rlcompleter.py	7097	0644	edit dl rm
runpy.py	11959	0644	edit dl rm
sched.py	6442	0644	edit dl rm
secrets.py	2038	0644	edit dl rm
selectors.py	18561	0644	edit dl rm
shelve.py	8527	0644	edit dl rm
shlex.py	13100	0644	edit dl rm
shutil.py	41950	0644	edit dl rm
signal.py	2123	0644	edit dl rm
site.py	21575	0644	edit dl rm
smtpd.py	34722	0755	edit dl rm
smtplib.py	44443	0755	edit dl rm
sndhdr.py	7086	0644	edit dl rm
socket.py	27469	0644	edit dl rm
socketserver.py	26923	0644	edit dl rm
sre_compile.py	26872	0644	edit dl rm
sre_constants.py	7177	0644	edit dl rm
sre_parse.py	39156	0644	edit dl rm
ssl.py	45495	0644	edit dl rm
stat.py	5391	0644	edit dl rm
statistics.py	20651	0644	edit dl rm
string.py	11564	0644	edit dl rm
stringprep.py	12917	0644	edit dl rm
struct.py	257	0644	edit dl rm
subprocess.py	72649	0644	edit dl rm
sunau.py	18375	0644	edit dl rm
symbol.py	2142	0755	edit dl rm
symtable.py	7279	0644	edit dl rm
sysconfig.py	24440	0644	edit dl rm
tabnanny.py	11419	0755	edit dl rm
tarfile.py	92675	0755	edit dl rm
telnetlib.py	23135	0644	edit dl rm
tempfile.py	26730	0644	edit dl rm
textwrap.py	19407	0644	edit dl rm
this.py	1003	0644	edit dl rm
threading.py	49284	0644	edit dl rm
timeit.py	13493	0755	edit dl rm
token.py	3763	0644	edit dl rm
tokenize.py	27031	0644	edit dl rm
trace.py	28903	0755	edit dl rm
traceback.py	23437	0644	edit dl rm
tracemalloc.py	17076	0644	edit dl rm
tty.py	879	0644	edit dl rm
types.py	9897	0644	edit dl rm
typing.py	56438	0644	edit dl rm
uu.py	7277	0644	edit dl rm
uuid.py	29518	0644	edit dl rm
warnings.py	20080	0644	edit dl rm
wave.py	18230	0644	edit dl rm
weakref.py	21508	0644	edit dl rm
webbrowser.py	23715	0755	edit dl rm
xdrlib.py	5913	0644	edit dl rm
zipapp.py	7535	0644	edit dl rm
zipfile.py	81094	0644	edit dl rm
_bootlocale.py	1801	0644	edit dl rm
_collections_abc.py	26424	0644	edit dl rm
_compat_pickle.py	8749	0644	edit dl rm
_compression.py	5340	0644	edit dl rm
_dummy_thread.py	6027	0644	edit dl rm
_markupbase.py	14598	0644	edit dl rm
_osx_support.py	19600	0644	edit dl rm
_pydecimal.py	228690	0644	edit dl rm
_pyio.py	91616	0644	edit dl rm
_py_abc.py	6186	0644	edit dl rm
_sitebuiltins.py	3115	0644	edit dl rm
_strptime.py	25504	0644	edit dl rm
_sysconfigdata_dm_linux_x86_64-linux-gnu.py	29786	0644	edit dl rm
_sysconfigdata_m_linux_x86_64-linux-gnu.py	28651	0644	edit dl rm
_threading_local.py	7214	0644	edit dl rm
_weakrefset.py	5679	0644	edit dl rm
__future__.py	5101	0644	edit dl rm
__phello__.foo.py	64	0644	edit dl rm

Edit: /opt/alt/python37/lib64/python3.7/profile.py (22494B)

#! /opt/alt/python37/bin/python3.7
#
# 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 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(*args, **kw):
        if len(args) >= 2:
            self, func, *args = args
        elif not args:
            raise TypeError("descriptor 'runcall' of 'Profile' object "
                            "needs an argument")
        elif 'func' in kw:
            func = kw.pop('func')
            self, *args = args
        else:
            raise TypeError('runcall expected at least 1 positional argument, '
                            'got %d' % (len(args)-1))

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] 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: