/proc/thread-self/root/proc/self/root/proc/1/task/1/root/proc/1/root/lib64/python3.9
This explorer reads the filesystem of the server it runs on, so /workspace/user isn't present here. Browsing and the terminal still work against this server's own disk from /.
#! /usr/bin/python3.9 """Python interface for the 'lsprof' profiler. Compatible with the 'profile' module.""" __all__ = ["run", "runctx", "Profile"] import _lsprofimport ioimport 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=-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 scriptif __name__ == '__main__': main()