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Jython is an implementation of the high-level, dynamic, object-oriented
language Python written in 100% Pure Java, and seamlessly integrated with
the Java platform. It thus allows you to run Python on any Java platform.
"""Class for printing reports on profiled python code."""
# Class for printing reports on profiled python code. rev 1.0 4/1/94
#
# Based on prior profile module by Sjoerd Mullender...
# which was hacked somewhat by: Guido van Rossum
#
# see profile.doc and profile.py for more info.
# Copyright 1994, by InfoSeek Corporation, all rights reserved.
# Written by James Roskind
#
# Permission to use, copy, modify, and distribute this Python software
# and its associated documentation for any purpose (subject to the
# restriction in the following sentence) without fee is hereby granted,
# provided that the above copyright notice appears in all copies, and
# that both that copyright notice and this permission notice appear in
# supporting documentation, and that the name of InfoSeek not be used in
# advertising or publicity pertaining to distribution of the software
# without specific, written prior permission. This permission is
# explicitly restricted to the copying and modification of the software
# to remain in Python, compiled Python, or other languages (such as C)
# wherein the modified or derived code is exclusively imported into a
# Python module.
#
# INFOSEEK CORPORATION DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS
# SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
# FITNESS. IN NO EVENT SHALL INFOSEEK CORPORATION BE LIABLE FOR ANY
# SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER
# RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF
# CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN
# CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
import sys
import os
import time
import marshal
import re
__all__ = ["Stats"]
class Stats:
"""This class is used for creating reports from data generated by the
Profile class. It is a "friend" of that class, and imports data either
by direct access to members of Profile class, or by reading in a dictionary
that was emitted (via marshal) from the Profile class.
The big change from the previous Profiler (in terms of raw functionality)
is that an "add()" method has been provided to combine Stats from
several distinct profile runs. Both the constructor and the add()
method now take arbitrarily many file names as arguments.
All the print methods now take an argument that indicates how many lines
to print. If the arg is a floating point number between 0 and 1.0, then
it is taken as a decimal percentage of the available lines to be printed
(e.g., .1 means print 10% of all available lines). If it is an integer,
it is taken to mean the number of lines of data that you wish to have
printed.
The sort_stats() method now processes some additional options (i.e., in
addition to the old -1, 0, 1, or 2). It takes an arbitrary number of
quoted strings to select the sort order. For example sort_stats('time',
'name') sorts on the major key of 'internal function time', and on the
minor key of 'the name of the function'. Look at the two tables in
sort_stats() and get_sort_arg_defs(self) for more examples.
All methods return self, so you can string together commands like:
Stats('foo', 'goo').strip_dirs().sort_stats('calls').\
print_stats(5).print_callers(5)
"""
def __init__(self, *args, **kwds):
# I can't figure out how to explictly specify a stream keyword arg
# with *args:
# def __init__(self, *args, stream=sys.stdout): ...
# so I use **kwds and sqauwk if something unexpected is passed in.
self.stream = sys.stdout
if "stream" in kwds:
self.stream = kwds["stream"]
del kwds["stream"]
if kwds:
keys = kwds.keys()
keys.sort()
extras = ", ".join(["%s=%s" % (k, kwds[k]) for k in keys])
raise ValueError, "unrecognized keyword args: %s" % extras
if not len(args):
arg = None
else:
arg = args[0]
args = args[1:]
self.init(arg)
self.add(*args)
def init(self, arg):
self.all_callees = None # calc only if needed
self.files = []
self.fcn_list = None
self.total_tt = 0
self.total_calls = 0
self.prim_calls = 0
self.max_name_len = 0
self.top_level = {}
self.stats = {}
self.sort_arg_dict = {}
self.load_stats(arg)
trouble = 1
try:
self.get_top_level_stats()
trouble = 0
finally:
if trouble:
print >> self.stream, "Invalid timing data",
if self.files: print >> self.stream, self.files[-1],
print >> self.stream
def load_stats(self, arg):
if not arg: self.stats = {}
elif isinstance(arg, basestring):
f = open(arg, 'rb')
self.stats = marshal.load(f)
f.close()
try:
file_stats = os.stat(arg)
arg = time.ctime(file_stats.st_mtime) + " " + arg
except: # in case this is not unix
pass
self.files = [ arg ]
elif hasattr(arg, 'create_stats'):
arg.create_stats()
self.stats = arg.stats
arg.stats = {}
if not self.stats:
raise TypeError, "Cannot create or construct a %r object from '%r''" % (
self.__class__, arg)
return
def get_top_level_stats(self):
for func, (cc, nc, tt, ct, callers) in self.stats.items():
self.total_calls += nc
self.prim_calls += cc
self.total_tt += tt
if callers.has_key(("jprofile", 0, "profiler")):
self.top_level[func] = None
if len(func_std_string(func)) > self.max_name_len:
self.max_name_len = len(func_std_string(func))
def add(self, *arg_list):
if not arg_list: return self
if len(arg_list) > 1: self.add(*arg_list[1:])
other = arg_list[0]
if type(self) != type(other) or self.__class__ != other.__class__:
other = Stats(other)
self.files += other.files
self.total_calls += other.total_calls
self.prim_calls += other.prim_calls
self.total_tt += other.total_tt
for func in other.top_level:
self.top_level[func] = None
if self.max_name_len < other.max_name_len:
self.max_name_len = other.max_name_len
self.fcn_list = None
for func, stat in other.stats.iteritems():
if func in self.stats:
old_func_stat = self.stats[func]
else:
old_func_stat = (0, 0, 0, 0, {},)
self.stats[func] = add_func_stats(old_func_stat, stat)
return self
def dump_stats(self, filename):
"""Write the profile data to a file we know how to load back."""
f = file(filename, 'wb')
try:
marshal.dump(self.stats, f)
finally:
f.close()
# list the tuple indices and directions for sorting,
# along with some printable description
sort_arg_dict_default = {
"calls" : (((1,-1), ), "call count"),
"cumulative": (((3,-1), ), "cumulative time"),
"file" : (((4, 1), ), "file name"),
"line" : (((5, 1), ), "line number"),
"module" : (((4, 1), ), "file name"),
"name" : (((6, 1), ), "function name"),
"nfl" : (((6, 1),(4, 1),(5, 1),), "name/file/line"),
"pcalls" : (((0,-1), ), "call count"),
"stdname" : (((7, 1), ), "standard name"),
"time" : (((2,-1), ), "internal time"),
}
def get_sort_arg_defs(self):
"""Expand all abbreviations that are unique."""
if not self.sort_arg_dict:
self.sort_arg_dict = dict = {}
bad_list = {}
for word, tup in self.sort_arg_dict_default.iteritems():
fragment = word
while fragment:
if not fragment:
break
if fragment in dict:
bad_list[fragment] = 0
break
dict[fragment] = tup
fragment = fragment[:-1]
for word in bad_list:
del dict[word]
return self.sort_arg_dict
def sort_stats(self, *field):
if not field:
self.fcn_list = 0
return self
if len(field) == 1 and type(field[0]) == type(1):
# Be compatible with old profiler
field = [ {-1: "stdname",
0:"calls",
1:"time",
2: "cumulative" } [ field[0] ] ]
sort_arg_defs = self.get_sort_arg_defs()
sort_tuple = ()
self.sort_type = ""
connector = ""
for word in field:
sort_tuple = sort_tuple + sort_arg_defs[word][0]
self.sort_type += connector + sort_arg_defs[word][1]
connector = ", "
stats_list = []
for func, (cc, nc, tt, ct, callers) in self.stats.iteritems():
stats_list.append((cc, nc, tt, ct) + func +
(func_std_string(func), func))
stats_list.sort(TupleComp(sort_tuple).compare)
self.fcn_list = fcn_list = []
for tuple in stats_list:
fcn_list.append(tuple[-1])
return self
def reverse_order(self):
if self.fcn_list:
self.fcn_list.reverse()
return self
def strip_dirs(self):
oldstats = self.stats
self.stats = newstats = {}
max_name_len = 0
for func, (cc, nc, tt, ct, callers) in oldstats.iteritems():
newfunc = func_strip_path(func)
if len(func_std_string(newfunc)) > max_name_len:
max_name_len = len(func_std_string(newfunc))
newcallers = {}
for func2, caller in callers.iteritems():
newcallers[func_strip_path(func2)] = caller
if newfunc in newstats:
newstats[newfunc] = add_func_stats(
newstats[newfunc],
(cc, nc, tt, ct, newcallers))
else:
newstats[newfunc] = (cc, nc, tt, ct, newcallers)
old_top = self.top_level
self.top_level = new_top = {}
for func in old_top:
new_top[func_strip_path(func)] = None
self.max_name_len = max_name_len
self.fcn_list = None
self.all_callees = None
return self
def calc_callees(self):
if self.all_callees: return
self.all_callees = all_callees = {}
for func, (cc, nc, tt, ct, callers) in self.stats.iteritems():
if not func in all_callees:
all_callees[func] = {}
for func2, caller in callers.iteritems():
if not func2 in all_callees:
all_callees[func2] = {}
all_callees[func2][func] = caller
return
#******************************************************************
# The following functions support actual printing of reports
#******************************************************************
# Optional "amount" is either a line count, or a percentage of lines.
def eval_print_amount(self, sel, list, msg):
new_list = list
if type(sel) == type(""):
new_list = []
for func in list:
if re.search(sel, func_std_string(func)):
new_list.append(func)
else:
count = len(list)
if type(sel) == type(1.0) and 0.0 <= sel < 1.0:
count = int(count * sel + .5)
new_list = list[:count]
elif type(sel) == type(1) and 0 <= sel < count:
count = sel
new_list = list[:count]
if len(list) != len(new_list):
msg = msg + " List reduced from %r to %r due to restriction <%r>\n" % (
len(list), len(new_list), sel)
return new_list, msg
def get_print_list(self, sel_list):
width = self.max_name_len
if self.fcn_list:
list = self.fcn_list[:]
msg = " Ordered by: " + self.sort_type + '\n'
else:
list = self.stats.keys()
msg = " Random listing order was used\n"
for selection in sel_list:
list, msg = self.eval_print_amount(selection, list, msg)
count = len(list)
if not list:
return 0, list
print >> self.stream, msg
if count < len(self.stats):
width = 0
for func in list:
if len(func_std_string(func)) > width:
width = len(func_std_string(func))
return width+2, list
def print_stats(self, *amount):
for filename in self.files:
print >> self.stream, filename
if self.files: print >> self.stream
indent = ' ' * 8
for func in self.top_level:
print >> self.stream, indent, func_get_function_name(func)
print >> self.stream, indent, self.total_calls, "function calls",
if self.total_calls != self.prim_calls:
print >> self.stream, "(%d primitive calls)" % self.prim_calls,
print >> self.stream, "in %.3f CPU seconds" % self.total_tt
print >> self.stream
width, list = self.get_print_list(amount)
if list:
self.print_title()
for func in list:
self.print_line(func)
print >> self.stream
print >> self.stream
return self
def print_callees(self, *amount):
width, list = self.get_print_list(amount)
if list:
self.calc_callees()
self.print_call_heading(width, "called...")
for func in list:
if func in self.all_callees:
self.print_call_line(width, func, self.all_callees[func])
else:
self.print_call_line(width, func, {})
print >> self.stream
print >> self.stream
return self
def print_callers(self, *amount):
width, list = self.get_print_list(amount)
if list:
self.print_call_heading(width, "was called by...")
for func in list:
cc, nc, tt, ct, callers = self.stats[func]
self.print_call_line(width, func, callers, "<-")
print >> self.stream
print >> self.stream
return self
def print_call_heading(self, name_size, column_title):
print >> self.stream, "Function ".ljust(name_size) + column_title
# print sub-header only if we have new-style callers
subheader = False
for cc, nc, tt, ct, callers in self.stats.itervalues():
if callers:
value = callers.itervalues().next()
subheader = isinstance(value, tuple)
break
if subheader:
print >> self.stream, " "*name_size + " ncalls tottime cumtime"
def print_call_line(self, name_size, source, call_dict, arrow="->"):
print >> self.stream, func_std_string(source).ljust(name_size) + arrow,
if not call_dict:
print >> self.stream
return
clist = call_dict.keys()
clist.sort()
indent = ""
for func in clist:
name = func_std_string(func)
value = call_dict[func]
if isinstance(value, tuple):
nc, cc, tt, ct = value
if nc != cc:
substats = '%d/%d' % (nc, cc)
else:
substats = '%d' % (nc,)
substats = '%s %s %s %s' % (substats.rjust(7+2*len(indent)),
f8(tt), f8(ct), name)
left_width = name_size + 1
else:
substats = '%s(%r) %s' % (name, value, f8(self.stats[func][3]))
left_width = name_size + 3
print >> self.stream, indent*left_width + substats
indent = " "
def print_title(self):
print >> self.stream, ' ncalls tottime percall cumtime percall',
print >> self.stream, 'filename:lineno(function)'
def print_line(self, func): # hack : should print percentages
cc, nc, tt, ct, callers = self.stats[func]
c = str(nc)
if nc != cc:
c = c + '/' + str(cc)
print >> self.stream, c.rjust(9),
print >> self.stream, f8(tt),
if nc == 0:
print >> self.stream, ' '*8,
else:
print >> self.stream, f8(tt/nc),
print >> self.stream, f8(ct),
if cc == 0:
print >> self.stream, ' '*8,
else:
print >> self.stream, f8(ct/cc),
print >> self.stream, func_std_string(func)
class TupleComp:
"""This class provides a generic function for comparing any two tuples.
Each instance records a list of tuple-indices (from most significant
to least significant), and sort direction (ascending or decending) for
each tuple-index. The compare functions can then be used as the function
argument to the system sort() function when a list of tuples need to be
sorted in the instances order."""
def __init__(self, comp_select_list):
self.comp_select_list = comp_select_list
def compare (self, left, right):
for index, direction in self.comp_select_list:
l = left[index]
r = right[index]
if l < r:
return -direction
if l > r:
return direction
return 0
#**************************************************************************
# func_name is a triple (file:string, line:int, name:string)
def func_strip_path(func_name):
filename, line, name = func_name
return os.path.basename(filename), line, name
def func_get_function_name(func):
return func[2]
def func_std_string(func_name): # match what old profile produced
if func_name[:2] == ('~', 0):
# special case for built-in functions
name = func_name[2]
if name.startswith('<') and name.endswith('>'):
return '{%s}' % name[1:-1]
else:
return name
else:
return "%s:%d(%s)" % func_name
#**************************************************************************
# The following functions combine statists for pairs functions.
# The bulk of the processing involves correctly handling "call" lists,
# such as callers and callees.
#**************************************************************************
def add_func_stats(target, source):
"""Add together all the stats for two profile entries."""
cc, nc, tt, ct, callers = source
t_cc, t_nc, t_tt, t_ct, t_callers = target
return (cc+t_cc, nc+t_nc, tt+t_tt, ct+t_ct,
add_callers(t_callers, callers))
def add_callers(target, source):
"""Combine two caller lists in a single list."""
new_callers = {}
for func, caller in target.iteritems():
new_callers[func] = caller
for func, caller in source.iteritems():
if func in new_callers:
new_callers[func] = caller + new_callers[func]
else:
new_callers[func] = caller
return new_callers
def count_calls(callers):
"""Sum the caller statistics to get total number of calls received."""
nc = 0
for calls in callers.itervalues():
nc += calls
return nc
#**************************************************************************
# The following functions support printing of reports
#**************************************************************************
def f8(x):
return "%8.3f" % x
#**************************************************************************
# Statistics browser added by ESR, April 2001
#**************************************************************************
if __name__ == '__main__':
import cmd
try:
import readline
except ImportError:
pass
class ProfileBrowser(cmd.Cmd):
def __init__(self, profile=None):
cmd.Cmd.__init__(self)
self.prompt = "% "
if profile is not None:
self.stats = Stats(profile)
self.stream = self.stats.stream
else:
self.stats = None
self.stream = sys.stdout
def generic(self, fn, line):
args = line.split()
processed = []
for term in args:
try:
processed.append(int(term))
continue
except ValueError:
pass
try:
frac = float(term)
if frac > 1 or frac < 0:
print >> self.stream, "Fraction argument must be in [0, 1]"
continue
processed.append(frac)
continue
except ValueError:
pass
processed.append(term)
if self.stats:
getattr(self.stats, fn)(*processed)
else:
print >> self.stream, "No statistics object is loaded."
return 0
def generic_help(self):
print >> self.stream, "Arguments may be:"
print >> self.stream, "* An integer maximum number of entries to print."
print >> self.stream, "* A decimal fractional number between 0 and 1, controlling"
print >> self.stream, " what fraction of selected entries to print."
print >> self.stream, "* A regular expression; only entries with function names"
print >> self.stream, " that match it are printed."
def do_add(self, line):
self.stats.add(line)
return 0
def help_add(self):
print >> self.stream, "Add profile info from given file to current statistics object."
def do_callees(self, line):
return self.generic('print_callees', line)
def help_callees(self):
print >> self.stream, "Print callees statistics from the current stat object."
self.generic_help()
def do_callers(self, line):
return self.generic('print_callers', line)
def help_callers(self):
print >> self.stream, "Print callers statistics from the current stat object."
self.generic_help()
def do_EOF(self, line):
print >> self.stream, ""
return 1
def help_EOF(self):
print >> self.stream, "Leave the profile brower."
def do_quit(self, line):
return 1
def help_quit(self):
print >> self.stream, "Leave the profile brower."
def do_read(self, line):
if line:
try:
self.stats = Stats(line)
except IOError, args:
print >> self.stream, args[1]
return
self.prompt = line + "% "
elif len(self.prompt) > 2:
line = self.prompt[-2:]
else:
print >> self.stream, "No statistics object is current -- cannot reload."
return 0
def help_read(self):
print >> self.stream, "Read in profile data from a specified file."
def do_reverse(self, line):
self.stats.reverse_order()
return 0
def help_reverse(self):
print >> self.stream, "Reverse the sort order of the profiling report."
def do_sort(self, line):
abbrevs = self.stats.get_sort_arg_defs()
if line and not filter(lambda x,a=abbrevs: x not in a,line.split()):
self.stats.sort_stats(*line.split())
else:
print >> self.stream, "Valid sort keys (unique prefixes are accepted):"
for (key, value) in Stats.sort_arg_dict_default.iteritems():
print >> self.stream, "%s -- %s" % (key, value[1])
return 0
def help_sort(self):
print >> self.stream, "Sort profile data according to specified keys."
print >> self.stream, "(Typing `sort' without arguments lists valid keys.)"
def complete_sort(self, text, *args):
return [a for a in Stats.sort_arg_dict_default if a.startswith(text)]
def do_stats(self, line):
return self.generic('print_stats', line)
def help_stats(self):
print >> self.stream, "Print statistics from the current stat object."
self.generic_help()
def do_strip(self, line):
self.stats.strip_dirs()
return 0
def help_strip(self):
print >> self.stream, "Strip leading path information from filenames in the report."
def postcmd(self, stop, line):
if stop:
return stop
return None
import sys
if len(sys.argv) > 1:
initprofile = sys.argv[1]
else:
initprofile = None
try:
browser = ProfileBrowser(initprofile)
print >> browser.stream, "Welcome to the profile statistics browser."
browser.cmdloop()
print >> browser.stream, "Goodbye."
except KeyboardInterrupt:
pass
# That's all, folks.