#$@%#$%!

Ngiler SH3LL 360
: / opt / alt / python34 / lib64 / python3.4 /

Information Server
MySQL : OFF Perl : OFF CURL : ON WGET : OFF PKEXEC : OFF

Directive	Local Value
IP Address	162.0.209.101
System	Linux premium169.web-hosting.com 4.18.0-553.50.1.lve.el8.x86_64 #1 SMP Thu Apr 17 19:10:24 UTC 2025 x86_64
User	luxeelil
PHP Version	8.0.30
Software	LiteSpeed
Doc root	Writable

Edit File : cProfile.py \| Size : 5.20 KB
#! /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() Back

Edit File : cProfile.py | Size : 5.20 KB

#! /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()

Back