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#! /usr/bin/env python3

"""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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