/*
* 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);
python_start("/tmp/stats.py");
python_dump("stattest", "all");
return 0;
}