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ðŸ“„ _collections_abc.py(19.43 KB)
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ðŸ“„ _dummy_thread.py(4.76 KB)
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ðŸ“„ _sysconfigdata.py(28.05 KB)
ðŸ“„ _threading_local.py(7.24 KB)
ðŸ“„ _weakrefset.py(5.57 KB)
ðŸ“„ abc.py(8.42 KB)
ðŸ“„ aifc.py(30.84 KB)
ðŸ“„ antigravity.py(475 B)
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ðŸ“„ asyncore.py(20.51 KB)
ðŸ“„ base64.py(19.71 KB)
ðŸ“„ bdb.py(22.81 KB)
ðŸ“„ binhex.py(13.6 KB)
ðŸ“„ bisect.py(2.53 KB)
ðŸ“„ bz2.py(18.42 KB)
ðŸ“„ cProfile.py(5.2 KB)
ðŸ“„ calendar.py(22.4 KB)
ðŸ“„ cgi.py(35.1 KB)
ðŸ“„ cgitb.py(11.76 KB)
ðŸ“„ chunk.py(5.3 KB)
ðŸ“„ cmd.py(14.51 KB)
ðŸ“„ code.py(9.8 KB)
ðŸ“„ codecs.py(35.07 KB)
ðŸ“„ codeop.py(5.85 KB)
ðŸ“ collections
ðŸ“„ colorsys.py(3.97 KB)
ðŸ“„ compileall.py(9.39 KB)
ðŸ“ concurrent
ðŸ“ config-3.4m
ðŸ“„ configparser.py(48.53 KB)
ðŸ“„ contextlib.py(11.37 KB)
ðŸ“„ copy.py(8.79 KB)
ðŸ“„ copyreg.py(6.67 KB)
ðŸ“„ crypt.py(1.83 KB)
ðŸ“„ csv.py(15.81 KB)
ðŸ“ ctypes
ðŸ“ curses
ðŸ“„ datetime.py(74.03 KB)
ðŸ“ dbm
ðŸ“„ decimal.py(223.33 KB)
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ðŸ“„ dis.py(16.76 KB)
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ðŸ“„ dummy_threading.py(2.75 KB)
ðŸ“ email
ðŸ“ encodings
ðŸ“ ensurepip
ðŸ“„ enum.py(21.03 KB)
ðŸ“„ filecmp.py(9.6 KB)
ðŸ“„ fileinput.py(14.52 KB)
ðŸ“„ fnmatch.py(3.09 KB)
ðŸ“„ formatter.py(14.82 KB)
ðŸ“„ fractions.py(22.66 KB)
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ðŸ“ html
ðŸ“ http
ðŸ“ idlelib
ðŸ“„ imaplib.py(49.09 KB)
ðŸ“„ imghdr.py(3.45 KB)
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ðŸ“ importlib
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ðŸ“ json
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ðŸ“ lib-dynload
ðŸ“ lib2to3
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ðŸ“ logging
ðŸ“„ lzma.py(18.92 KB)
ðŸ“„ macpath.py(5.49 KB)
ðŸ“„ macurl2path.py(2.67 KB)
ðŸ“„ mailbox.py(76.54 KB)
ðŸ“„ mailcap.py(7.26 KB)
ðŸ“„ mimetypes.py(20.29 KB)
ðŸ“„ modulefinder.py(22.87 KB)
ðŸ“ multiprocessing
ðŸ“„ netrc.py(5.61 KB)
ðŸ“„ nntplib.py(42.07 KB)
ðŸ“„ ntpath.py(20 KB)
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ðŸ“„ numbers.py(10 KB)
ðŸ“„ opcode.py(5.31 KB)
ðŸ“„ operator.py(8.98 KB)
ðŸ“„ optparse.py(58.93 KB)
ðŸ“„ os.py(33.09 KB)
ðŸ“„ pathlib.py(41.47 KB)
ðŸ“„ pdb.py(59.56 KB)
ðŸ“„ pickle.py(54.68 KB)
ðŸ“„ pickletools.py(89.61 KB)
ðŸ“„ pipes.py(8.71 KB)
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ðŸ“ plat-linux
ðŸ“„ platform.py(45.67 KB)
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ðŸ“„ posixpath.py(13.13 KB)
ðŸ“„ pprint.py(14.57 KB)
ðŸ“„ profile.py(21.52 KB)
ðŸ“„ pstats.py(25.7 KB)
ðŸ“„ pty.py(4.65 KB)
ðŸ“„ py_compile.py(6.94 KB)
ðŸ“„ pyclbr.py(13.2 KB)
ðŸ“„ pydoc.py(100.6 KB)
ðŸ“ pydoc_data
ðŸ“„ queue.py(8.63 KB)
ðŸ“„ quopri.py(7.09 KB)
ðŸ“„ random.py(25.47 KB)
ðŸ“„ re.py(15.24 KB)
ðŸ“„ reprlib.py(4.99 KB)
ðŸ“„ rlcompleter.py(5.93 KB)
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ðŸ“„ sched.py(6.21 KB)
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ðŸ“ site-packages
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ðŸ“ sqlite3
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ðŸ“„ string.py(11.18 KB)
ðŸ“„ stringprep.py(12.61 KB)
ðŸ“„ struct.py(257 B)
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ðŸ“„ sysconfig.py(24.05 KB)
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ðŸ“„ tarfile.py(89.41 KB)
ðŸ“„ telnetlib.py(22.53 KB)
ðŸ“„ tempfile.py(22 KB)
ðŸ“ test
ðŸ“„ textwrap.py(18.83 KB)
ðŸ“„ this.py(1003 B)
ðŸ“„ threading.py(47.66 KB)
ðŸ“„ timeit.py(11.69 KB)
ðŸ“„ token.py(2.96 KB)
ðŸ“„ tokenize.py(25 KB)
ðŸ“„ trace.py(30.75 KB)
ðŸ“„ traceback.py(10.91 KB)
ðŸ“„ tracemalloc.py(15.28 KB)
ðŸ“„ tty.py(879 B)
ðŸ“„ types.py(5.28 KB)
ðŸ“ unittest
ðŸ“ urllib
ðŸ“„ uu.py(6.61 KB)
ðŸ“„ uuid.py(23.17 KB)
ðŸ“ venv
ðŸ“„ warnings.py(13.97 KB)
ðŸ“„ wave.py(17.27 KB)
ðŸ“„ weakref.py(18.93 KB)
ðŸ“„ webbrowser.py(20.93 KB)
ðŸ“ wsgiref
ðŸ“„ xdrlib.py(5.77 KB)
ðŸ“ xml
ðŸ“ xmlrpc
ðŸ“„ zipfile.py(66.94 KB)

Editing: cProfile.py

#! /opt/alt/python34/bin/python3.4

"""Python interface for the 'lsprof' profiler.
   Compatible with the 'profile' module.
"""

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

import _lsprof
import profile as _pyprofile

# ____________________________________________________________
# Simple interface

def run(statement, filename=None, sort=-1):
    return _pyprofile._Utils(Profile).run(statement, filename, sort)

def runctx(statement, globals, locals, filename=None, sort=-1):
    return _pyprofile._Utils(Profile).runctx(statement, globals, locals,
                                             filename, sort)

run.__doc__ = _pyprofile.run.__doc__
runctx.__doc__ = _pyprofile.runctx.__doc__

# ____________________________________________________________

class Profile(_lsprof.Profiler):
    """Profile(custom_timer=None, time_unit=None, subcalls=True, builtins=True)

Builds a profiler object using the specified timer function.
    The default timer is a fast built-in one based on real time.
    For custom timer functions returning integers, time_unit can
    be a float specifying a scale (i.e. how long each integer unit
    is, in seconds).
    """

# Most of the functionality is in the base class.
    # This subclass only adds convenient and backward-compatible methods.

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

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

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

def snapshot_stats(self):
        entries = self.getstats()
        self.stats = {}
        callersdicts = {}
        # call information
        for entry in entries:
            func = label(entry.code)
            nc = entry.callcount         # ncalls column of pstats (before '/')
            cc = nc - entry.reccallcount # ncalls column of pstats (after '/')
            tt = entry.inlinetime        # tottime column of pstats
            ct = entry.totaltime         # cumtime column of pstats
            callers = {}
            callersdicts[id(entry.code)] = callers
            self.stats[func] = cc, nc, tt, ct, callers
        # subcall information
        for entry in entries:
            if entry.calls:
                func = label(entry.code)
                for subentry in entry.calls:
                    try:
                        callers = callersdicts[id(subentry.code)]
                    except KeyError:
                        continue
                    nc = subentry.callcount
                    cc = nc - subentry.reccallcount
                    tt = subentry.inlinetime
                    ct = subentry.totaltime
                    if func in callers:
                        prev = callers[func]
                        nc += prev[0]
                        cc += prev[1]
                        tt += prev[2]
                        ct += prev[3]
                    callers[func] = nc, cc, tt, ct

# 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.enable()
        try:
            exec(cmd, globals, locals)
        finally:
            self.disable()
        return self

# This method is more useful to profile a single function call.
    def runcall(self, func, *args, **kw):
        self.enable()
        try:
            return func(*args, **kw)
        finally:
            self.disable()

# ____________________________________________________________

def label(code):
    if isinstance(code, str):
        return ('~', 0, code)    # built-in functions ('~' sorts at the end)
    else:
        return (code.co_filename, code.co_firstlineno, code.co_name)

# ____________________________________________________________

def main():
    import os, sys
    from optparse import OptionParser
    usage = "cProfile.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()

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