"""Class for printing reports on profiled python code."""
# Written by James Roskind
# Based on prior profile module by Sjoerd Mullender...
# which was hacked somewhat by: Guido van Rossum
# Copyright Disney Enterprises, Inc. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
# either express or implied. See the License for the specific language
# governing permissions and limitations under the License.
from functools import cmp_to_key
"""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
The sort_stats() method now processes some additional options (i.e., in
addition to the old -1, 0, 1, or 2 that are respectively interpreted as
'stdname', 'calls', 'time', and 'cumulative'). 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
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, stream=None):
self.stream = stream or sys.stdout
self.all_callees = None # calc only if needed
self.get_top_level_stats()
print("Invalid timing data %s" %
(self.files[-1] if self.files else ''), file=self.stream)
def load_stats(self, arg):
elif isinstance(arg, str):
with open(arg, 'rb') as f:
self.stats = marshal.load(f)
file_stats = os.stat(arg)
arg = time.ctime(file_stats.st_mtime) + " " + arg
except: # in case this is not unix
elif hasattr(arg, 'create_stats'):
raise TypeError("Cannot create or construct a %r object from %r"
def get_top_level_stats(self):
for func, (cc, nc, tt, ct, callers) in self.stats.items():
if ("jprofile", 0, "profiler") in callers:
if len(func_std_string(func)) > self.max_name_len:
self.max_name_len = len(func_std_string(func))
def add(self, *arg_list):
for item in reversed(arg_list):
if type(self) != type(item):
self.total_calls += item.total_calls
self.prim_calls += item.prim_calls
self.total_tt += item.total_tt
for func in item.top_level:
if self.max_name_len < item.max_name_len:
self.max_name_len = item.max_name_len
for func, stat in item.stats.items():
old_func_stat = self.stats[func]
old_func_stat = (0, 0, 0, 0, {},)
self.stats[func] = add_func_stats(old_func_stat, stat)
def dump_stats(self, filename):
"""Write the profile data to a file we know how to load back."""
with open(filename, 'wb') as f:
marshal.dump(self.stats, f)
# list the tuple indices and directions for sorting,
# along with some printable description
sort_arg_dict_default = {
"calls" : (((1,-1), ), "call count"),
"ncalls" : (((1,-1), ), "call count"),
"cumtime" : (((3,-1), ), "cumulative time"),
"cumulative": (((3,-1), ), "cumulative time"),
"file" : (((4, 1), ), "file name"),
"filename" : (((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), ), "primitive call count"),
"stdname" : (((7, 1), ), "standard name"),
"time" : (((2,-1), ), "internal time"),
"tottime" : (((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 = {}
for word, tup in self.sort_arg_dict_default.items():
return self.sort_arg_dict
def sort_stats(self, *field):
if len(field) == 1 and isinstance(field[0], int):
# Be compatible with old profiler
field = [ {-1: "stdname",
2: "cumulative"}[field[0]] ]
sort_arg_defs = self.get_sort_arg_defs()
sort_tuple = sort_tuple + sort_arg_defs[word][0]
self.sort_type += connector + sort_arg_defs[word][1]
for func, (cc, nc, tt, ct, callers) in self.stats.items():
stats_list.append((cc, nc, tt, ct) + func +
(func_std_string(func), func))
stats_list.sort(key=cmp_to_key(TupleComp(sort_tuple).compare))
self.fcn_list = fcn_list = []
fcn_list.append(tuple[-1])
self.stats = newstats = {}
for func, (cc, nc, tt, ct, callers) in oldstats.items():
newfunc = func_strip_path(func)
if len(func_std_string(newfunc)) > max_name_len:
max_name_len = len(func_std_string(newfunc))
for func2, caller in callers.items():
newcallers[func_strip_path(func2)] = caller
newstats[newfunc] = add_func_stats(
(cc, nc, tt, ct, newcallers))
newstats[newfunc] = (cc, nc, tt, ct, newcallers)
self.top_level = new_top = set()
new_top.add(func_strip_path(func))
self.max_name_len = max_name_len
self.all_callees = all_callees = {}
for func, (cc, nc, tt, ct, callers) in self.stats.items():
if not func in all_callees:
for func2, caller in callers.items():
if not func2 in all_callees:
all_callees[func2][func] = caller
#******************************************************************
# 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):
msg += " <Invalid regular expression %r>\n" % sel
if rex.search(func_std_string(func)):
if isinstance(sel, float) and 0.0 <= sel < 1.0:
count = int(count * sel + .5)
elif isinstance(sel, int) and 0 <= sel < count:
if len(list) != len(new_list):
msg += " List reduced from %r to %r due to restriction <%r>\n" % (
len(list), len(new_list), sel)
def get_print_list(self, sel_list):
width = self.max_name_len
stat_list = self.fcn_list[:]
msg = " Ordered by: " + self.sort_type + '\n'
stat_list = list(self.stats.keys())
msg = " Random listing order was used\n"
for selection in sel_list:
stat_list, msg = self.eval_print_amount(selection, stat_list, msg)
print(msg, file=self.stream)
if count < len(self.stats):
if len(func_std_string(func)) > width:
width = len(func_std_string(func))
return width+2, stat_list
def print_stats(self, *amount):
for filename in self.files:
print(filename, file=self.stream)
for func in self.top_level:
print(indent, func_get_function_name(func), file=self.stream)
print(indent, self.total_calls, "function calls", end=' ', file=self.stream)
if self.total_calls != self.prim_calls:
print("(%d primitive calls)" % self.prim_calls, end=' ', file=self.stream)
print("in %.3f seconds" % self.total_tt, file=self.stream)
width, list = self.get_print_list(amount)
def print_callees(self, *amount):
width, list = self.get_print_list(amount)
self.print_call_heading(width, "called...")
if func in self.all_callees:
self.print_call_line(width, func, self.all_callees[func])
self.print_call_line(width, func, {})
def print_callers(self, *amount):
width, list = self.get_print_list(amount)
self.print_call_heading(width, "was called by...")
cc, nc, tt, ct, callers = self.stats[func]
self.print_call_line(width, func, callers, "<-")
def print_call_heading(self, name_size, column_title):
print("Function ".ljust(name_size) + column_title, file=self.stream)
# print sub-header only if we have new-style callers
for cc, nc, tt, ct, callers in self.stats.values():
value = next(iter(callers.values()))
subheader = isinstance(value, tuple)
print(" "*name_size + " ncalls tottime cumtime", file=self.stream)
def print_call_line(self, name_size, source, call_dict, arrow="->"):
print(func_std_string(source).ljust(name_size) + arrow, end=' ', file=self.stream)
clist = sorted(call_dict.keys())
name = func_std_string(func)
if isinstance(value, tuple):
substats = '%d/%d' % (nc, cc)
substats = '%s %s %s %s' % (substats.rjust(7+2*len(indent)),
left_width = name_size + 1
substats = '%s(%r) %s' % (name, value, f8(self.stats[func][3]))
left_width = name_size + 3
print(indent*left_width + substats, file=self.stream)
print(' ncalls tottime percall cumtime percall', end=' ', file=self.stream)
print('filename:lineno(function)', file=self.stream)
def print_line(self, func): # hack: should print percentages
cc, nc, tt, ct, callers = self.stats[func]
print(c.rjust(9), end=' ', file=self.stream)
print(f8(tt), end=' ', file=self.stream)
print(' '*8, end=' ', file=self.stream)
print(f8(tt/nc), end=' ', file=self.stream)
print(f8(ct), end=' ', file=self.stream)
print(' '*8, end=' ', file=self.stream)
print(f8(ct/cc), end=' ', file=self.stream)
print(func_std_string(func), file=self.stream)
"""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:
#**************************************************************************
# 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):
def func_std_string(func_name): # match what old profile produced
if func_name[:2] == ('~', 0):
# special case for built-in functions
if name.startswith('<') and name.endswith('>'):
return '{%s}' % name[1:-1]
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."""
for func, caller in target.items():
new_callers[func] = caller
for func, caller in source.items():
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