python-3.6.zip added from Github

README.cosmo contains the necessary links.

third_party/python/Lib/cProfile.py

@@ -0,0 +1,161 @@
+#! /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(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()