cleanup for new import

Change-Id: I97ce2459d8c4b401f67efa15581a5dfd1875bc76

1 files changed, 0 insertions, 190 deletions

diff --git a/tools/perf/scripts/python/event_analyzing_sample.py b/tools/perf/scripts/python/event_analyzing_sample.py
deleted file mode 100644
index 4e843b9864ec..000000000000
--- a/tools/perf/scripts/python/event_analyzing_sample.py
+++ /dev/null
@@ -1,190 +0,0 @@
-# event_analyzing_sample.py: general event handler in python
-# SPDX-License-Identifier: GPL-2.0
-#
-# Current perf report is already very powerful with the annotation integrated,
-# and this script is not trying to be as powerful as perf report, but
-# providing end user/developer a flexible way to analyze the events other
-# than trace points.
-#
-# The 2 database related functions in this script just show how to gather
-# the basic information, and users can modify and write their own functions
-# according to their specific requirement.
-#
-# The first function "show_general_events" just does a basic grouping for all
-# generic events with the help of sqlite, and the 2nd one "show_pebs_ll" is
-# for a x86 HW PMU event: PEBS with load latency data.
-#
-
-import os
-import sys
-import math
-import struct
-import sqlite3
-
-sys.path.append(os.environ['PERF_EXEC_PATH'] + \
-        '/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
-
-from perf_trace_context import *
-from EventClass import *
-
-#
-# If the perf.data has a big number of samples, then the insert operation
-# will be very time consuming (about 10+ minutes for 10000 samples) if the
-# .db database is on disk. Move the .db file to RAM based FS to speedup
-# the handling, which will cut the time down to several seconds.
-#
-con = sqlite3.connect("/dev/shm/perf.db")
-con.isolation_level = None
-
-def trace_begin():
-	print "In trace_begin:\n"
-
-        #
-        # Will create several tables at the start, pebs_ll is for PEBS data with
-        # load latency info, while gen_events is for general event.
-        #
-        con.execute("""
-                create table if not exists gen_events (
-                        name text,
-                        symbol text,
-                        comm text,
-                        dso text
-                );""")
-        con.execute("""
-                create table if not exists pebs_ll (
-                        name text,
-                        symbol text,
-                        comm text,
-                        dso text,
-                        flags integer,
-                        ip integer,
-                        status integer,
-                        dse integer,
-                        dla integer,
-                        lat integer
-                );""")
-
-#
-# Create and insert event object to a database so that user could
-# do more analysis with simple database commands.
-#
-def process_event(param_dict):
-        event_attr = param_dict["attr"]
-        sample     = param_dict["sample"]
-        raw_buf    = param_dict["raw_buf"]
-        comm       = param_dict["comm"]
-        name       = param_dict["ev_name"]
-
-        # Symbol and dso info are not always resolved
-        if (param_dict.has_key("dso")):
-                dso = param_dict["dso"]
-        else:
-                dso = "Unknown_dso"
-
-        if (param_dict.has_key("symbol")):
-                symbol = param_dict["symbol"]
-        else:
-                symbol = "Unknown_symbol"
-
-        # Create the event object and insert it to the right table in database
-        event = create_event(name, comm, dso, symbol, raw_buf)
-        insert_db(event)
-
-def insert_db(event):
-        if event.ev_type == EVTYPE_GENERIC:
-                con.execute("insert into gen_events values(?, ?, ?, ?)",
-                                (event.name, event.symbol, event.comm, event.dso))
-        elif event.ev_type == EVTYPE_PEBS_LL:
-                event.ip &= 0x7fffffffffffffff
-                event.dla &= 0x7fffffffffffffff
-                con.execute("insert into pebs_ll values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
-                        (event.name, event.symbol, event.comm, event.dso, event.flags,
-                                event.ip, event.status, event.dse, event.dla, event.lat))
-
-def trace_end():
-	print "In trace_end:\n"
-        # We show the basic info for the 2 type of event classes
-        show_general_events()
-        show_pebs_ll()
-        con.close()
-
-#
-# As the event number may be very big, so we can't use linear way
-# to show the histogram in real number, but use a log2 algorithm.
-#
-
-def num2sym(num):
-        # Each number will have at least one '#'
-        snum = '#' * (int)(math.log(num, 2) + 1)
-        return snum
-
-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]
-                if t[0] == 0:
-                        return
-
-        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)
-        for row in commq:
-             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)
-        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]))
-
-        # Group by dso
-        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]))
-
-#
-# This function just shows the basic info, and we could do more with the
-# data in the tables, like checking the function parameters when some
-# big latency events happen.
-#
-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]
-                if t[0] == 0:
-                        return
-
-        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)
-        for row in commq:
-             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)
-        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]))
-
-        # 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)
-        for row in dseq:
-             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)
-        for row in latq:
-             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())])