| lists.openwall.net | lists / announce owl-users owl-dev john-users john-dev passwdqc-users yescrypt popa3d-users / oss-security kernel-hardening musl sabotage tlsify passwords / crypt-dev xvendor / Bugtraq Full-Disclosure linux-kernel linux-netdev linux-ext4 linux-hardening linux-cve-announce PHC | |
|
Open Source and information security mailing list archives
| ||
|
Date: Sat, 9 Mar 2019 12:04:14 -0800
From: tip-bot for Tony Jones <tipbot@...or.com>
To: linux-tip-commits@...r.kernel.org
Cc: tglx@...utronix.de, mingo@...nel.org, feng.tang@...el.com,
tonyj@...e.de, s1seetee@...ux.vnet.ibm.com,
linux-kernel@...r.kernel.org, acme@...hat.com, hpa@...or.com
Subject: [tip:perf/urgent] perf script python: Add Python3 support to
event_analyzing_sample.py
Commit-ID: c253c72e9d6723c8b078beb362f050059ef5de39
Gitweb: https://git.kernel.org/tip/c253c72e9d6723c8b078beb362f050059ef5de39
Author: Tony Jones <tonyj@...e.de>
AuthorDate: Fri, 1 Mar 2019 17:19:00 -0800
Committer: Arnaldo Carvalho de Melo <acme@...hat.com>
CommitDate: Wed, 6 Mar 2019 18:11:11 -0300
perf script python: Add Python3 support to event_analyzing_sample.py
Support both Python2 and Python3 in the event_analyzing_sample.py script
There may be differences in the ordering of output lines due to
differences in dictionary ordering etc. However the format within lines
should be unchanged.
The use of 'from __future__' implies the minimum supported Python2 version
is now v2.6
Signed-off-by: Tony Jones <tonyj@...e.de>
Cc: Feng Tang <feng.tang@...el.com>
Link: http://lkml.kernel.org/r/20190302011903.2416-5-tonyj@suse.de
Signed-off-by: Seeteena Thoufeek <s1seetee@...ux.vnet.ibm.com>
Signed-off-by: Arnaldo Carvalho de Melo <acme@...hat.com>
---
.../perf/scripts/python/event_analyzing_sample.py | 48 +++++++++++-----------
1 file changed, 25 insertions(+), 23 deletions(-)
diff --git a/tools/perf/scripts/python/event_analyzing_sample.py b/tools/perf/scripts/python/event_analyzing_sample.py
index 2ec8915b74c5..aa1e2cfa26a6 100644
--- a/tools/perf/scripts/python/event_analyzing_sample.py
+++ b/tools/perf/scripts/python/event_analyzing_sample.py
@@ -15,6 +15,8 @@
# for a x86 HW PMU event: PEBS with load latency data.
#
+from __future__ import print_function
+
import os
import sys
import math
@@ -37,7 +39,7 @@ con = sqlite3.connect("/dev/shm/perf.db")
con.isolation_level = None
def trace_begin():
- print "In trace_begin:\n"
+ print("In trace_begin:\n")
#
# Will create several tables at the start, pebs_ll is for PEBS data with
@@ -76,12 +78,12 @@ def process_event(param_dict):
name = param_dict["ev_name"]
# Symbol and dso info are not always resolved
- if (param_dict.has_key("dso")):
+ if ("dso" in param_dict):
dso = param_dict["dso"]
else:
dso = "Unknown_dso"
- if (param_dict.has_key("symbol")):
+ if ("symbol" in param_dict):
symbol = param_dict["symbol"]
else:
symbol = "Unknown_symbol"
@@ -102,7 +104,7 @@ def insert_db(event):
event.ip, event.status, event.dse, event.dla, event.lat))
def trace_end():
- print "In trace_end:\n"
+ print("In trace_end:\n")
# We show the basic info for the 2 type of event classes
show_general_events()
show_pebs_ll()
@@ -123,29 +125,29 @@ def show_general_events():
# Check the total record number in the table
count = con.execute("select count(*) from gen_events")
for t in count:
- print "There is %d records in gen_events table" % t[0]
+ print("There is %d records in gen_events table" % t[0])
if t[0] == 0:
return
- print "Statistics about the general events grouped by thread/symbol/dso: \n"
+ print("Statistics about the general events grouped by thread/symbol/dso: \n")
# Group by thread
commq = con.execute("select comm, count(comm) from gen_events group by comm order by -count(comm)")
- print "\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42)
+ print("\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42))
for row in commq:
- print "%16s %8d %s" % (row[0], row[1], num2sym(row[1]))
+ print("%16s %8d %s" % (row[0], row[1], num2sym(row[1])))
# Group by symbol
- print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58)
+ print("\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58))
symbolq = con.execute("select symbol, count(symbol) from gen_events group by symbol order by -count(symbol)")
for row in symbolq:
- print "%32s %8d %s" % (row[0], row[1], num2sym(row[1]))
+ print("%32s %8d %s" % (row[0], row[1], num2sym(row[1])))
# Group by dso
- print "\n%40s %8s %16s\n%s" % ("dso", "number", "histogram", "="*74)
+ print("\n%40s %8s %16s\n%s" % ("dso", "number", "histogram", "="*74))
dsoq = con.execute("select dso, count(dso) from gen_events group by dso order by -count(dso)")
for row in dsoq:
- print "%40s %8d %s" % (row[0], row[1], num2sym(row[1]))
+ print("%40s %8d %s" % (row[0], row[1], num2sym(row[1])))
#
# This function just shows the basic info, and we could do more with the
@@ -156,35 +158,35 @@ def show_pebs_ll():
count = con.execute("select count(*) from pebs_ll")
for t in count:
- print "There is %d records in pebs_ll table" % t[0]
+ print("There is %d records in pebs_ll table" % t[0])
if t[0] == 0:
return
- print "Statistics about the PEBS Load Latency events grouped by thread/symbol/dse/latency: \n"
+ print("Statistics about the PEBS Load Latency events grouped by thread/symbol/dse/latency: \n")
# Group by thread
commq = con.execute("select comm, count(comm) from pebs_ll group by comm order by -count(comm)")
- print "\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42)
+ print("\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42))
for row in commq:
- print "%16s %8d %s" % (row[0], row[1], num2sym(row[1]))
+ print("%16s %8d %s" % (row[0], row[1], num2sym(row[1])))
# Group by symbol
- print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58)
+ print("\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58))
symbolq = con.execute("select symbol, count(symbol) from pebs_ll group by symbol order by -count(symbol)")
for row in symbolq:
- print "%32s %8d %s" % (row[0], row[1], num2sym(row[1]))
+ print("%32s %8d %s" % (row[0], row[1], num2sym(row[1])))
# Group by dse
dseq = con.execute("select dse, count(dse) from pebs_ll group by dse order by -count(dse)")
- print "\n%32s %8s %16s\n%s" % ("dse", "number", "histogram", "="*58)
+ print("\n%32s %8s %16s\n%s" % ("dse", "number", "histogram", "="*58))
for row in dseq:
- print "%32s %8d %s" % (row[0], row[1], num2sym(row[1]))
+ print("%32s %8d %s" % (row[0], row[1], num2sym(row[1])))
# Group by latency
latq = con.execute("select lat, count(lat) from pebs_ll group by lat order by lat")
- print "\n%32s %8s %16s\n%s" % ("latency", "number", "histogram", "="*58)
+ print("\n%32s %8s %16s\n%s" % ("latency", "number", "histogram", "="*58))
for row in latq:
- print "%32s %8d %s" % (row[0], row[1], num2sym(row[1]))
+ print("%32s %8d %s" % (row[0], row[1], num2sym(row[1])))
def trace_unhandled(event_name, context, event_fields_dict):
- print ' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())])
+ print (' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())]))
Powered by blists - more mailing lists