Update prebuilt Clang to r416183b from Android.
https://android.googlesource.com/platform/prebuilts/clang/host/
linux-x86/+/06a71ddac05c22edb2d10b590e1769b3f8619bef
clang 12.0.5 (based on r416183b) from build 7284624.
Change-Id: I277a316abcf47307562d8b748b84870f31a72866
Signed-off-by: Olivier Deprez <olivier.deprez@arm.com>
diff --git a/linux-x64/clang/python3/lib/python3.9/pstats.py b/linux-x64/clang/python3/lib/python3.9/pstats.py
new file mode 100644
index 0000000..0f93ae0
--- /dev/null
+++ b/linux-x64/clang/python3/lib/python3.9/pstats.py
@@ -0,0 +1,779 @@
+"""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.
+
+
+import sys
+import os
+import time
+import marshal
+import re
+
+from enum import Enum
+from functools import cmp_to_key
+from dataclasses import dataclass
+from typing import Dict
+
+__all__ = ["Stats", "SortKey", "FunctionProfile", "StatsProfile"]
+
+class SortKey(str, Enum):
+ CALLS = 'calls', 'ncalls'
+ CUMULATIVE = 'cumulative', 'cumtime'
+ FILENAME = 'filename', 'module'
+ LINE = 'line'
+ NAME = 'name'
+ NFL = 'nfl'
+ PCALLS = 'pcalls'
+ STDNAME = 'stdname'
+ TIME = 'time', 'tottime'
+
+ def __new__(cls, *values):
+ value = values[0]
+ obj = str.__new__(cls, value)
+ obj._value_ = value
+ for other_value in values[1:]:
+ cls._value2member_map_[other_value] = obj
+ obj._all_values = values
+ return obj
+
+
+@dataclass(unsafe_hash=True)
+class FunctionProfile:
+ ncalls: int
+ tottime: float
+ percall_tottime: float
+ cumtime: float
+ percall_cumtime: float
+ file_name: str
+ line_number: int
+
+@dataclass(unsafe_hash=True)
+class StatsProfile:
+ '''Class for keeping track of an item in inventory.'''
+ total_tt: float
+ func_profiles: Dict[str, FunctionProfile]
+
+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 that are respectively interpreted as
+ 'stdname', 'calls', 'time', and 'cumulative'). It takes either an
+ arbitrary number of quoted strings or SortKey enum to select the sort
+ order.
+
+ For example sort_stats('time', 'name') or sort_stats(SortKey.TIME,
+ SortKey.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, stream=None):
+ self.stream = stream or sys.stdout
+ 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 = set()
+ self.stats = {}
+ self.sort_arg_dict = {}
+ self.load_stats(arg)
+ try:
+ self.get_top_level_stats()
+ except Exception:
+ print("Invalid timing data %s" %
+ (self.files[-1] if self.files else ''), file=self.stream)
+ raise
+
+ def load_stats(self, arg):
+ if arg is None:
+ self.stats = {}
+ return
+ elif isinstance(arg, str):
+ with open(arg, 'rb') as f:
+ self.stats = marshal.load(f)
+ 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 ("jprofile", 0, "profiler") in callers:
+ self.top_level.add(func)
+ 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
+ for item in reversed(arg_list):
+ if type(self) != type(item):
+ item = Stats(item)
+ self.files += item.files
+ self.total_calls += item.total_calls
+ self.prim_calls += item.prim_calls
+ self.total_tt += item.total_tt
+ for func in item.top_level:
+ self.top_level.add(func)
+
+ if self.max_name_len < item.max_name_len:
+ self.max_name_len = item.max_name_len
+
+ self.fcn_list = None
+
+ for func, stat in item.stats.items():
+ 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."""
+ 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"),
+ "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 = {}
+ bad_list = {}
+ for word, tup in self.sort_arg_dict_default.items():
+ 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 isinstance(field[0], int):
+ # Be compatible with old profiler
+ field = [ {-1: "stdname",
+ 0: "calls",
+ 1: "time",
+ 2: "cumulative"}[field[0]] ]
+ elif len(field) >= 2:
+ for arg in field[1:]:
+ if type(arg) != type(field[0]):
+ raise TypeError("Can't have mixed argument type")
+
+ sort_arg_defs = self.get_sort_arg_defs()
+
+ sort_tuple = ()
+ self.sort_type = ""
+ connector = ""
+ for word in field:
+ if isinstance(word, SortKey):
+ word = word.value
+ 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.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 = []
+ 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.items():
+ 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.items():
+ 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 = set()
+ for func in old_top:
+ new_top.add(func_strip_path(func))
+
+ 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.items():
+ if not func in all_callees:
+ all_callees[func] = {}
+ for func2, caller in callers.items():
+ 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 isinstance(sel, str):
+ try:
+ rex = re.compile(sel)
+ except re.error:
+ msg += " <Invalid regular expression %r>\n" % sel
+ return new_list, msg
+ new_list = []
+ for func in list:
+ if rex.search(func_std_string(func)):
+ new_list.append(func)
+ else:
+ count = len(list)
+ if isinstance(sel, float) and 0.0 <= sel < 1.0:
+ count = int(count * sel + .5)
+ new_list = list[:count]
+ elif isinstance(sel, int) and 0 <= sel < count:
+ count = sel
+ new_list = list[: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)
+
+ return new_list, msg
+
+ def get_stats_profile(self):
+ """This method returns an instance of StatsProfile, which contains a mapping
+ of function names to instances of FunctionProfile. Each FunctionProfile
+ instance holds information related to the function's profile such as how
+ long the function took to run, how many times it was called, etc...
+ """
+ func_list = self.fcn_list[:] if self.fcn_list else list(self.stats.keys())
+ if not func_list:
+ return StatsProfile(0, {})
+
+ total_tt = float(f8(self.total_tt))
+ func_profiles = {}
+ stats_profile = StatsProfile(total_tt, func_profiles)
+
+ for func in func_list:
+ cc, nc, tt, ct, callers = self.stats[func]
+ file_name, line_number, func_name = func
+ ncalls = str(nc) if nc == cc else (str(nc) + '/' + str(cc))
+ tottime = float(f8(tt))
+ percall_tottime = -1 if nc == 0 else float(f8(tt/nc))
+ cumtime = float(f8(ct))
+ percall_cumtime = -1 if cc == 0 else float(f8(ct/cc))
+ func_profile = FunctionProfile(
+ ncalls,
+ tottime, # time spent in this function alone
+ percall_tottime,
+ cumtime, # time spent in the function plus all functions that this function called,
+ percall_cumtime,
+ file_name,
+ line_number
+ )
+ func_profiles[func_name] = func_profile
+
+ return stats_profile
+
+ def get_print_list(self, sel_list):
+ width = self.max_name_len
+ if self.fcn_list:
+ stat_list = self.fcn_list[:]
+ msg = " Ordered by: " + self.sort_type + '\n'
+ else:
+ 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)
+
+ count = len(stat_list)
+
+ if not stat_list:
+ return 0, stat_list
+ print(msg, file=self.stream)
+ if count < len(self.stats):
+ width = 0
+ for func in stat_list:
+ 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)
+ if self.files:
+ print(file=self.stream)
+ indent = ' ' * 8
+ 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)
+ print(file=self.stream)
+ width, list = self.get_print_list(amount)
+ if list:
+ self.print_title()
+ for func in list:
+ self.print_line(func)
+ print(file=self.stream)
+ print(file=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(file=self.stream)
+ print(file=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(file=self.stream)
+ print(file=self.stream)
+ return self
+
+ 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
+ subheader = False
+ for cc, nc, tt, ct, callers in self.stats.values():
+ if callers:
+ value = next(iter(callers.values()))
+ subheader = isinstance(value, tuple)
+ break
+ if subheader:
+ 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)
+ if not call_dict:
+ print(file=self.stream)
+ return
+ clist = sorted(call_dict.keys())
+ 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(indent*left_width + substats, file=self.stream)
+ indent = " "
+
+ def print_title(self):
+ 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]
+ c = str(nc)
+ if nc != cc:
+ c = c + '/' + str(cc)
+ print(c.rjust(9), end=' ', file=self.stream)
+ print(f8(tt), end=' ', file=self.stream)
+ if nc == 0:
+ print(' '*8, end=' ', file=self.stream)
+ else:
+ print(f8(tt/nc), end=' ', file=self.stream)
+ print(f8(ct), end=' ', file=self.stream)
+ if cc == 0:
+ print(' '*8, end=' ', file=self.stream)
+ else:
+ print(f8(ct/cc), end=' ', file=self.stream)
+ print(func_std_string(func), file=self.stream)
+
+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 statistics 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.items():
+ new_callers[func] = caller
+ for func, caller in source.items():
+ if func in new_callers:
+ if isinstance(caller, tuple):
+ # format used by cProfile
+ new_callers[func] = tuple(i + j for i, j in zip(caller, new_callers[func]))
+ else:
+ # format used by profile
+ new_callers[func] += caller
+ 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.values():
+ 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 = "% "
+ self.stats = None
+ self.stream = sys.stdout
+ if profile is not None:
+ self.do_read(profile)
+
+ 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("Fraction argument must be in [0, 1]", file=self.stream)
+ continue
+ processed.append(frac)
+ continue
+ except ValueError:
+ pass
+ processed.append(term)
+ if self.stats:
+ getattr(self.stats, fn)(*processed)
+ else:
+ print("No statistics object is loaded.", file=self.stream)
+ return 0
+ def generic_help(self):
+ print("Arguments may be:", file=self.stream)
+ print("* An integer maximum number of entries to print.", file=self.stream)
+ print("* A decimal fractional number between 0 and 1, controlling", file=self.stream)
+ print(" what fraction of selected entries to print.", file=self.stream)
+ print("* A regular expression; only entries with function names", file=self.stream)
+ print(" that match it are printed.", file=self.stream)
+
+ def do_add(self, line):
+ if self.stats:
+ try:
+ self.stats.add(line)
+ except OSError as e:
+ print("Failed to load statistics for %s: %s" % (line, e), file=self.stream)
+ else:
+ print("No statistics object is loaded.", file=self.stream)
+ return 0
+ def help_add(self):
+ print("Add profile info from given file to current statistics object.", file=self.stream)
+
+ def do_callees(self, line):
+ return self.generic('print_callees', line)
+ def help_callees(self):
+ print("Print callees statistics from the current stat object.", file=self.stream)
+ self.generic_help()
+
+ def do_callers(self, line):
+ return self.generic('print_callers', line)
+ def help_callers(self):
+ print("Print callers statistics from the current stat object.", file=self.stream)
+ self.generic_help()
+
+ def do_EOF(self, line):
+ print("", file=self.stream)
+ return 1
+ def help_EOF(self):
+ print("Leave the profile browser.", file=self.stream)
+
+ def do_quit(self, line):
+ return 1
+ def help_quit(self):
+ print("Leave the profile browser.", file=self.stream)
+
+ def do_read(self, line):
+ if line:
+ try:
+ self.stats = Stats(line)
+ except OSError as err:
+ print(err.args[1], file=self.stream)
+ return
+ except Exception as err:
+ print(err.__class__.__name__ + ':', err, file=self.stream)
+ return
+ self.prompt = line + "% "
+ elif len(self.prompt) > 2:
+ line = self.prompt[:-2]
+ self.do_read(line)
+ else:
+ print("No statistics object is current -- cannot reload.", file=self.stream)
+ return 0
+ def help_read(self):
+ print("Read in profile data from a specified file.", file=self.stream)
+ print("Without argument, reload the current file.", file=self.stream)
+
+ def do_reverse(self, line):
+ if self.stats:
+ self.stats.reverse_order()
+ else:
+ print("No statistics object is loaded.", file=self.stream)
+ return 0
+ def help_reverse(self):
+ print("Reverse the sort order of the profiling report.", file=self.stream)
+
+ def do_sort(self, line):
+ if not self.stats:
+ print("No statistics object is loaded.", file=self.stream)
+ return
+ abbrevs = self.stats.get_sort_arg_defs()
+ if line and all((x in abbrevs) for x in line.split()):
+ self.stats.sort_stats(*line.split())
+ else:
+ print("Valid sort keys (unique prefixes are accepted):", file=self.stream)
+ for (key, value) in Stats.sort_arg_dict_default.items():
+ print("%s -- %s" % (key, value[1]), file=self.stream)
+ return 0
+ def help_sort(self):
+ print("Sort profile data according to specified keys.", file=self.stream)
+ print("(Typing `sort' without arguments lists valid keys.)", file=self.stream)
+ 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("Print statistics from the current stat object.", file=self.stream)
+ self.generic_help()
+
+ def do_strip(self, line):
+ if self.stats:
+ self.stats.strip_dirs()
+ else:
+ print("No statistics object is loaded.", file=self.stream)
+ def help_strip(self):
+ print("Strip leading path information from filenames in the report.", file=self.stream)
+
+ def help_help(self):
+ print("Show help for a given command.", file=self.stream)
+
+ def postcmd(self, stop, line):
+ if stop:
+ return stop
+ return None
+
+ if len(sys.argv) > 1:
+ initprofile = sys.argv[1]
+ else:
+ initprofile = None
+ try:
+ browser = ProfileBrowser(initprofile)
+ for profile in sys.argv[2:]:
+ browser.do_add(profile)
+ print("Welcome to the profile statistics browser.", file=browser.stream)
+ browser.cmdloop()
+ print("Goodbye.", file=browser.stream)
+ except KeyboardInterrupt:
+ pass
+
+# That's all, folks.