lib64/python3.8/cProfile.py 0000755 00000015542 15053264422 0011370 0 ustar 00 #! /usr/bin/python3.8
"""Python interface for the 'lsprof' profiler.
Compatible with the 'profile' module.
"""
__all__ = ["run", "runctx", "Profile"]
import _lsprof
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(*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
import warnings
warnings.warn("Passing 'func' as keyword argument is deprecated",
DeprecationWarning, stacklevel=2)
else:
raise TypeError('runcall expected at least 1 positional argument, '
'got %d' % (len(args)-1))
self.enable()
try:
return func(*args, **kw)
finally:
self.disable()
runcall.__text_signature__ = '($self, func, /, *args, **kw)'
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=-1,
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')
globs = {
'__file__': progname,
'__name__': '__main__',
'__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()
lib64/python3.6/cProfile.py 0000755 00000012404 15053264444 0011364 0 ustar 00 #! /usr/libexec/platform-python
"""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(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 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, pstats
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,
choices=sorted(pstats.Stats.sort_arg_dict_default))
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()
lib64/python2.7/cProfile.py 0000755 00000014655 15053264520 0011371 0 ustar 00 #! /usr/bin/python2.7
"""Python interface for the 'lsprof' profiler.
Compatible with the 'profile' module.
"""
__all__ = ["run", "runctx", "help", "Profile"]
import _lsprof
# ____________________________________________________________
# Simple interface
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.
"""
prof = Profile()
result = None
try:
try:
prof = prof.run(statement)
except SystemExit:
pass
finally:
if filename is not None:
prof.dump_stats(filename)
else:
result = prof.print_stats(sort)
return result
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
"""
prof = Profile()
result = None
try:
try:
prof = prof.runctx(statement, globals, locals)
except SystemExit:
pass
finally:
if filename is not None:
prof.dump_stats(filename)
else:
result = prof.print_stats(sort)
return result
# Backwards compatibility.
def help():
print "Documentation for the profile/cProfile modules can be found "
print "in the Python Library Reference, section 'The Python Profiler'."
# ____________________________________________________________
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
f = open(file, 'wb')
self.create_stats()
marshal.dump(self.stats, f)
f.close()
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 in 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, pstats
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,
choices=sorted(pstats.Stats.sort_arg_dict_default))
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,
}
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()
