| Server IP : 167.235.224.122 / Your IP : 216.73.216.110 Web Server : Apache/2.4.58 (Ubuntu) System : Linux newplayground 6.8.0-136-generic #136-Ubuntu SMP PREEMPT_DYNAMIC Wed Jul 1 21:33:11 UTC 2026 aarch64 User : deploy ( 1000) PHP Version : 8.4.23 Disable Function : NONE MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : OFF | Sudo : ON | Pkexec : OFF Directory : /proc/self/root/snap/core24/current/lib/python3.12/ |
Upload File : |
#! /usr/bin/python3.12
"""Python interface for the 'lsprof' profiler.
Compatible with the 'profile' module.
"""
__all__ = ["run", "runctx", "Profile"]
import _lsprof
import importlib.machinery
import io
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(timer=None, timeunit=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, timeunit 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 __enter__(self):
self.enable()
return self
def __exit__(self, *exc_info):
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
import sys
import runpy
import pstats
from optparse import OptionParser
usage = "cProfile.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('-s', '--sort', dest="sort",
help="Sort order when printing to stdout, based on pstats.Stats class",
default=2,
choices=sorted(pstats.Stats.sort_arg_dict_default))
parser.add_option('-m', dest="module", action="store_true",
help="Profile a library module", default=False)
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:
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')
spec = importlib.machinery.ModuleSpec(name='__main__', loader=None,
origin=progname)
globs = {
'__spec__': spec,
'__file__': spec.origin,
'__name__': spec.name,
'__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()