Gecko [ goons4good.org ]

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asyncio	[ DIR ]	drwxr-xr-x	2024-05-26 02:18
collections	[ DIR ]	drwxr-xr-x	2024-05-26 02:18
concurrent	[ DIR ]	drwxr-xr-x	2024-05-26 02:18
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ctypes	[ DIR ]	drwxr-xr-x	2024-05-26 02:18
curses	[ DIR ]	drwxr-xr-x	2024-05-26 02:18
dbm	[ DIR ]	drwxr-xr-x	2024-05-26 02:18
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ensurepip	[ DIR ]	drwxr-xr-x	2024-05-26 02:18
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importlib	[ DIR ]	drwxr-xr-x	2024-05-26 02:18
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functools.py	27.84 KB	-rw-r--r--	2024-04-17 12:54
genericpath.py	3.79 KB	-rw-r--r--	2024-04-17 12:54
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linecache.py	3.86 KB	-rw-r--r--	2024-04-17 12:54
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nturl2path.py	2.39 KB	-rw-r--r--	2024-04-17 12:54
numbers.py	10 KB	-rw-r--r--	2024-04-17 12:54
opcode.py	5.31 KB	-rw-r--r--	2024-04-17 12:54
operator.py	8.98 KB	-rw-r--r--	2024-04-17 12:54
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os.py	33.09 KB	-rw-r--r--	2024-04-17 12:54
pathlib.py	41.47 KB	-rw-r--r--	2024-04-17 12:54
pdb.py	59.56 KB	-rwxr-xr-x	2024-04-17 12:54
pickle.py	54.68 KB	-rw-r--r--	2024-04-17 12:54
pickletools.py	89.61 KB	-rw-r--r--	2024-04-17 12:54
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posixpath.py	13.13 KB	-rw-r--r--	2024-04-17 12:54
pprint.py	14.57 KB	-rw-r--r--	2024-04-17 12:54
profile.py	21.52 KB	-rwxr-xr-x	2024-04-17 12:54
pstats.py	25.7 KB	-rw-r--r--	2024-04-17 12:54
pty.py	4.65 KB	-rw-r--r--	2024-04-17 12:54
py_compile.py	6.94 KB	-rw-r--r--	2024-04-17 12:54
pyclbr.py	13.2 KB	-rw-r--r--	2024-04-17 12:54
pydoc.py	100.6 KB	-rwxr-xr-x	2024-04-17 12:54
queue.py	8.63 KB	-rw-r--r--	2024-04-17 12:54
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random.py	25.47 KB	-rw-r--r--	2024-04-17 12:54
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reprlib.py	4.99 KB	-rw-r--r--	2024-04-17 12:54
rlcompleter.py	5.93 KB	-rw-r--r--	2024-04-17 12:54
runpy.py	10.56 KB	-rw-r--r--	2024-04-17 12:54
sched.py	6.21 KB	-rw-r--r--	2024-04-17 12:54
selectors.py	16.7 KB	-rw-r--r--	2024-04-17 12:54
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shlex.py	11.28 KB	-rw-r--r--	2024-04-17 12:54
shutil.py	38.97 KB	-rw-r--r--	2024-04-17 12:54
site.py	21.05 KB	-rw-r--r--	2024-04-17 12:54
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socket.py	18.62 KB	-rw-r--r--	2024-04-17 12:54
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statistics.py	19.1 KB	-rw-r--r--	2024-04-17 12:54
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subprocess.py	63.04 KB	-rw-r--r--	2024-04-17 12:54
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tabnanny.py	11.14 KB	-rwxr-xr-x	2024-04-17 12:54
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telnetlib.py	22.53 KB	-rw-r--r--	2024-04-17 12:54
tempfile.py	22 KB	-rw-r--r--	2024-04-17 12:54
textwrap.py	18.83 KB	-rw-r--r--	2024-04-17 12:54
this.py	1003 B	-rw-r--r--	2024-04-17 12:54
threading.py	47.66 KB	-rw-r--r--	2024-04-17 12:54
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zipfile.py	66.94 KB	-rw-r--r--	2024-04-17 12:54

Rename

#! /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()