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gem5/test/stattest.cc
Nathan Binkert 55d94ba2e8 Add python output support to the statistics package! 
base/statistics.cc:
base/statistics.hh:
    -  add python output support to the statistics package
    -  each statistic type has a python() member function that takes
    a Python object to which the stat will output it's python
    representation
    -  add getStatData hack so that the StatData pointer can be looked
    up by the proxies with their opaque pointer to the stat they're
    proxying for.  This is necessary because the proxy really proxies
    for the bin and not the stat.  Be nice to figure out how to get
    rid of it.  The hack is used so that the str() function of a
    proxy can properly name itself.
    -  To print formula stats, every stat has a str() function that
    converts that stat to a string that python can execute to get
    a value.
test/Makefile:
    add python stuff
test/stattest.cc:
    add more tests and test python support

--HG--
extra : convert_revision : 513814ab0a125606897f2c57dccdf22879032ef9
2003-12-24 03:25:36 -05:00

520 lines
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/*
* Copyright (c) 2003 The Regents of The University of Michigan
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are
* met: redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer;
* redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in the
* documentation and/or other materials provided with the distribution;
* neither the name of the copyright holders nor the names of its
* contributors may be used to endorse or promote products derived from
* this software without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#include <iomanip>
#include <iostream>
#include <fstream>
#include <string>
#include <unistd.h>
#include "base/cprintf.hh"
#include "base/misc.hh"
#include "base/statistics.hh"
#include "sim/host.hh"
using namespace std;
using namespace Statistics;
Tick curTick = 0;
Tick ticksPerSecond = ULL(2000000000);
Scalar<> s1;
Scalar<> s2;
Average<> s3;
Scalar<Counter, MainBin> s4;
Vector<Counter, MainBin> s5;
Distribution<Counter, MainBin> s6;
Vector<Counter, MainBin> s7;
AverageVector<> s8;
StandardDeviation<> s9;
AverageDeviation<> s10;
Scalar<Counter> s11;
Distribution<> s12;
VectorDistribution<> s13;
VectorStandardDeviation<> s14;
VectorAverageDeviation<> s15;
Vector2d<> s16;
Formula f1;
Formula f2;
Formula f3;
Formula f4;
Formula f5;
Formula f6;
Formula f7;
MainBin bin1("bin1");
MainBin bin2("bin2");
double
testfunc()
{
return 9.8;
}
class TestClass {
public:
double operator()() { return 9.7; }
};
char *progname = "";
void
usage()
{
panic("incorrect usage.\n"
"usage:\n"
"\t%s [-v]\n", progname);
}
int
main(int argc, char *argv[])
{
char c;
progname = argv[0];
PrintDescriptions = false;
while ((c = getopt(argc, argv, "v")) != -1) {
cprintf("c == %c\n", c);
switch (c) {
case 'v':
PrintDescriptions = true;
break;
default:
usage();
}
}
s5.init(5);
s6.init(1, 100, 13);
s7.init(7);
s8.init(10);
s12.init(1, 100, 13);
s13.init(4, 0, 99, 10);
s14.init(9);
s15.init(10);
s16.init(2, 9);
s1
.name("Stat01")
.desc("this is statistic 1")
;
s2
.name("Stat02")
.desc("this is statistic 2")
.prereq(s11)
;
s3
.name("Stat03")
.desc("this is statistic 3")
.prereq(f7)
;
s4
.name("Stat04")
.desc("this is statistic 4")
.prereq(s11)
;
s5
.name("Stat05")
.desc("this is statistic 5")
.prereq(s11)
.subname(0, "foo1")
.subname(1, "foo2")
.subname(2, "foo3")
.subname(3, "foo4")
.subname(4, "foo5")
;
s6
.name("Stat06")
.desc("this is statistic 6")
.prereq(s11)
;
s7
.name("Stat07")
.desc("this is statistic 7")
.precision(1)
.flags(pdf | total)
.prereq(s11)
;
s8
.name("Stat08")
.desc("this is statistic 8")
.precision(2)
.prereq(s11)
.subname(4, "blarg")
;
s9
.name("Stat09")
.desc("this is statistic 9")
.precision(4)
.prereq(s11)
;
s10
.name("Stat10")
.desc("this is statistic 10")
.prereq(s11)
;
s12
.name("Stat12")
.desc("this is statistic 12")
;
s13
.name("Stat13")
.desc("this is statistic 13")
;
s14
.name("Stat14")
.desc("this is statistic 14")
;
s15
.name("Stat15")
.desc("this is statistic 15")
;
s16
.name("Stat16")
.desc("this is statistic 16")
.flags(total)
.subname(0, "sub0")
.subname(1, "sub1")
;
f1
.name("Formula1")
.desc("this is formula 1")
.prereq(s11)
;
f2
.name("Formula2")
.desc("this is formula 2")
.prereq(s11)
.precision(1)
;
f3
.name("Formula3")
.desc("this is formula 3")
.prereq(s11)
.subname(0, "bar1")
.subname(1, "bar2")
.subname(2, "bar3")
.subname(3, "bar4")
.subname(4, "bar5")
;
f4
.name("Formula4")
.desc("this is formula 4")
;
f5
.name("Formula5")
.desc("this is formula 5")
;
f6
.name("Formula6")
.desc("this is formula 6")
;
f1 = s1 + s2;
f2 = (-s1) / (-s2) * (-s3 + ULL(100) + s4);
f3 = sum(s5) * s7;
f4 = functor(testfunc);
TestClass testclass;
f5 = functor(testclass);
f6 += constant(10.0);
f6 += s5[3];
f7 = constant(1);
check();
reset();
bin1.activate();
s16[1][0] = 1;
s16[0][1] = 3;
s16[0][0] = 2;
s16[1][1] = 9;
s16[1][1] += 9;
s16[1][8] += 8;
s16[1][7] += 7;
s16[1][6] += 6;
s16[1][5] += 5;
s16[1][4] += 4;
s11 = 1;
s3 = 9;
s8[3] = 9;
s15[0].sample(1234);
s15[1].sample(1234);
s15[2].sample(1234);
s15[3].sample(1234);
s15[4].sample(1234);
s15[5].sample(1234);
s15[6].sample(1234);
s15[7].sample(1234);
s15[8].sample(1234);
s15[9].sample(1234);
s10.sample(1000000000);
curTick += ULL(1000000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s10.sample(100000);
s13[0].sample(12);
s13[1].sample(29);
s13[2].sample(12);
s13[3].sample(29);
s13[0].sample(42);
s13[1].sample(29);
s13[2].sample(42);
s13[3].sample(32);
s13[0].sample(52);
s13[1].sample(49);
s13[2].sample(42);
s13[3].sample(25);
s13[0].sample(32);
s13[1].sample(49);
s13[2].sample(22);
s13[3].sample(49);
s13[0].sample(62);
s13[1].sample(99);
s13[2].sample(72);
s13[3].sample(23);
s13[0].sample(52);
s13[1].sample(78);
s13[2].sample(69);
s13[3].sample(49);
s14[0].sample(1234);
s14[1].sample(4134);
s14[4].sample(1213);
s14[3].sample(1124);
s14[2].sample(1243);
s14[7].sample(1244);
s14[4].sample(7234);
s14[2].sample(9234);
s14[3].sample(1764);
s14[7].sample(1564);
s14[3].sample(3234);
s14[1].sample(2234);
s14[5].sample(1234);
s14[2].sample(4334);
s14[2].sample(1234);
s14[4].sample(4334);
s14[6].sample(1234);
s14[8].sample(8734);
s14[1].sample(5234);
s14[3].sample(8234);
s14[7].sample(5234);
s14[4].sample(4434);
s14[3].sample(7234);
s14[2].sample(1934);
s14[1].sample(9234);
s14[5].sample(5634);
s14[3].sample(1264);
s14[7].sample(5223);
s14[0].sample(1234);
s14[0].sample(5434);
s14[3].sample(8634);
s14[1].sample(1234);
s15[0].sample(1234);
s15[1].sample(4134);
curTick += ULL(1000000);
s15[4].sample(1213);
curTick += ULL(1000000);
s15[3].sample(1124);
curTick += ULL(1000000);
s15[2].sample(1243);
curTick += ULL(1000000);
s15[7].sample(1244);
curTick += ULL(1000000);
s15[4].sample(7234);
s15[2].sample(9234);
s15[3].sample(1764);
s15[7].sample(1564);
s15[3].sample(3234);
s15[1].sample(2234);
curTick += ULL(1000000);
s15[5].sample(1234);
curTick += ULL(1000000);
s15[9].sample(4334);
curTick += ULL(1000000);
s15[2].sample(1234);
curTick += ULL(1000000);
s15[4].sample(4334);
s15[6].sample(1234);
curTick += ULL(1000000);
s15[8].sample(8734);
curTick += ULL(1000000);
s15[1].sample(5234);
curTick += ULL(1000000);
s15[3].sample(8234);
curTick += ULL(1000000);
s15[7].sample(5234);
s15[4].sample(4434);
s15[3].sample(7234);
s15[2].sample(1934);
s15[1].sample(9234);
curTick += ULL(1000000);
s15[5].sample(5634);
s15[3].sample(1264);
s15[7].sample(5223);
s15[0].sample(1234);
s15[0].sample(5434);
s15[3].sample(8634);
curTick += ULL(1000000);
s15[1].sample(1234);
s4 = curTick;
s8[3] = 99999;
s3 = 12;
s3++;
curTick += 9;
s1 = 9;
s1 += 9;
s1 -= 11;
s1++;
++s1;
s1--;
--s1;
s2 = 9;
s5[0] += 1;
s5[1] += 2;
s5[2] += 3;
s5[3] += 4;
s5[4] += 5;
s7[0] = 10;
s7[1] = 20;
s7[2] = 30;
s7[3] = 40;
s7[4] = 50;
s7[5] = 60;
s7[6] = 70;
s6.sample(0);
s6.sample(1);
s6.sample(2);
s6.sample(3);
s6.sample(4);
s6.sample(5);
s6.sample(6);
s6.sample(7);
s6.sample(8);
s6.sample(9);
bin2.activate();
s6.sample(10);
s6.sample(10);
s6.sample(10);
s6.sample(10);
s6.sample(10);
s6.sample(10);
s6.sample(10);
s6.sample(10);
s6.sample(11);
s6.sample(19);
s6.sample(20);
s6.sample(20);
s6.sample(21);
s6.sample(21);
s6.sample(31);
s6.sample(98);
s6.sample(99);
s6.sample(99);
s6.sample(99);
s7[0] = 700;
s7[1] = 600;
s7[2] = 500;
s7[3] = 400;
s7[4] = 300;
s7[5] = 200;
s7[6] = 100;
s9.sample(100);
s9.sample(100);
s9.sample(100);
s9.sample(100);
s9.sample(10);
s9.sample(10);
s9.sample(10);
s9.sample(10);
s9.sample(10);
curTick += 9;
s4 = curTick;
s6.sample(100);
s6.sample(100);
s6.sample(100);
s6.sample(101);
s6.sample(102);
s12.sample(100);
// dump(cout, mode_simplescalar);
ofstream file("/tmp/stats.py");
dump(file, "stattest", mode_python);
file.close();
return 0;
}
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