c9f2aa8c18
to find and remove stats from the files so we can put less burden on the python interpreter. base/statistics.cc: Manually insert newlines into the python code so that we now have one stat per line. (Make it so we can use grep -v to remove stats) test/stattest.cc: update to reflect changes in how python is accessed --HG-- extra : convert_revision : 554edcf9c795b33d00d3d15554447c8accebebfa
517 lines
11 KiB
C++
517 lines
11 KiB
C++
/*
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* Copyright (c) 2003 The Regents of The University of Michigan
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* All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are
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* met: redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer;
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* redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in the
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* documentation and/or other materials provided with the distribution;
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* neither the name of the copyright holders nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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* A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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* OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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* SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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* LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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* DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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* THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*/
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#include <iomanip>
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#include <iostream>
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#include <fstream>
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#include <string>
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#include <unistd.h>
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#include "base/cprintf.hh"
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#include "base/misc.hh"
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#include "base/statistics.hh"
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#include "sim/host.hh"
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using namespace std;
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using namespace Statistics;
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Tick curTick = 0;
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Tick ticksPerSecond = ULL(2000000000);
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Scalar<> s1;
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Scalar<> s2;
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Average<> s3;
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Scalar<Counter, MainBin> s4;
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Vector<Counter, MainBin> s5;
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Distribution<Counter, MainBin> s6;
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Vector<Counter, MainBin> s7;
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AverageVector<> s8;
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StandardDeviation<> s9;
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AverageDeviation<> s10;
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Scalar<Counter> s11;
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Distribution<> s12;
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VectorDistribution<> s13;
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VectorStandardDeviation<> s14;
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VectorAverageDeviation<> s15;
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Vector2d<> s16;
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Formula f1;
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Formula f2;
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Formula f3;
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Formula f4;
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Formula f5;
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Formula f6;
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Formula f7;
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MainBin bin1("bin1");
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MainBin bin2("bin2");
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double
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testfunc()
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{
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return 9.8;
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}
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class TestClass {
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public:
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double operator()() { return 9.7; }
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};
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char *progname = "";
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void
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usage()
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{
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panic("incorrect usage.\n"
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"usage:\n"
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"\t%s [-v]\n", progname);
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}
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int
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main(int argc, char *argv[])
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{
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char c;
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progname = argv[0];
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PrintDescriptions = false;
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while ((c = getopt(argc, argv, "v")) != -1) {
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cprintf("c == %c\n", c);
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switch (c) {
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case 'v':
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PrintDescriptions = true;
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break;
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default:
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usage();
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}
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}
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s5.init(5);
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s6.init(1, 100, 13);
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s7.init(7);
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s8.init(10);
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s12.init(1, 100, 13);
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s13.init(4, 0, 99, 10);
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s14.init(9);
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s15.init(10);
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s16.init(2, 9);
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s1
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.name("Stat01")
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.desc("this is statistic 1")
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;
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s2
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.name("Stat02")
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.desc("this is statistic 2")
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.prereq(s11)
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;
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s3
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.name("Stat03")
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.desc("this is statistic 3")
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.prereq(f7)
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;
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s4
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.name("Stat04")
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.desc("this is statistic 4")
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.prereq(s11)
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;
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s5
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.name("Stat05")
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.desc("this is statistic 5")
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.prereq(s11)
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.subname(0, "foo1")
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.subname(1, "foo2")
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.subname(2, "foo3")
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.subname(3, "foo4")
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.subname(4, "foo5")
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;
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s6
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.name("Stat06")
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.desc("this is statistic 6")
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.prereq(s11)
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;
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s7
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.name("Stat07")
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.desc("this is statistic 7")
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.precision(1)
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.flags(pdf | total)
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.prereq(s11)
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;
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s8
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.name("Stat08")
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.desc("this is statistic 8")
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.precision(2)
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.prereq(s11)
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.subname(4, "blarg")
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;
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s9
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.name("Stat09")
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.desc("this is statistic 9")
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.precision(4)
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.prereq(s11)
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;
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s10
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.name("Stat10")
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.desc("this is statistic 10")
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.prereq(s11)
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;
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s12
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.name("Stat12")
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.desc("this is statistic 12")
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;
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s13
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.name("Stat13")
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.desc("this is statistic 13")
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;
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s14
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.name("Stat14")
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.desc("this is statistic 14")
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;
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s15
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.name("Stat15")
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.desc("this is statistic 15")
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;
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s16
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.name("Stat16")
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.desc("this is statistic 16")
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.flags(total)
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.subname(0, "sub0")
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.subname(1, "sub1")
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;
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f1
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.name("Formula1")
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.desc("this is formula 1")
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.prereq(s11)
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;
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f2
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.name("Formula2")
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.desc("this is formula 2")
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.prereq(s11)
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.precision(1)
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;
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f3
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.name("Formula3")
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.desc("this is formula 3")
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.prereq(s11)
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.subname(0, "bar1")
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.subname(1, "bar2")
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.subname(2, "bar3")
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.subname(3, "bar4")
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.subname(4, "bar5")
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;
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f4
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.name("Formula4")
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.desc("this is formula 4")
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;
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f5
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.name("Formula5")
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.desc("this is formula 5")
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;
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f6
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.name("Formula6")
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.desc("this is formula 6")
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;
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f1 = s1 + s2;
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f2 = (-s1) / (-s2) * (-s3 + ULL(100) + s4);
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f3 = sum(s5) * s7;
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f4 = functor(testfunc);
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TestClass testclass;
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f5 = functor(testclass);
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f6 += constant(10.0);
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f6 += s5[3];
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f7 = constant(1);
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check();
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reset();
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bin1.activate();
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s16[1][0] = 1;
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s16[0][1] = 3;
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s16[0][0] = 2;
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s16[1][1] = 9;
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s16[1][1] += 9;
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s16[1][8] += 8;
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s16[1][7] += 7;
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s16[1][6] += 6;
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s16[1][5] += 5;
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s16[1][4] += 4;
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s11 = 1;
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s3 = 9;
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s8[3] = 9;
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s15[0].sample(1234);
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s15[1].sample(1234);
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s15[2].sample(1234);
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s15[3].sample(1234);
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s15[4].sample(1234);
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s15[5].sample(1234);
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s15[6].sample(1234);
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s15[7].sample(1234);
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s15[8].sample(1234);
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s15[9].sample(1234);
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s10.sample(1000000000);
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curTick += ULL(1000000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s10.sample(100000);
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s13[0].sample(12);
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s13[1].sample(29);
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s13[2].sample(12);
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s13[3].sample(29);
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s13[0].sample(42);
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s13[1].sample(29);
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s13[2].sample(42);
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s13[3].sample(32);
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s13[0].sample(52);
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s13[1].sample(49);
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s13[2].sample(42);
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s13[3].sample(25);
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s13[0].sample(32);
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s13[1].sample(49);
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s13[2].sample(22);
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s13[3].sample(49);
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s13[0].sample(62);
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s13[1].sample(99);
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s13[2].sample(72);
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s13[3].sample(23);
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s13[0].sample(52);
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s13[1].sample(78);
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s13[2].sample(69);
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s13[3].sample(49);
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s14[0].sample(1234);
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s14[1].sample(4134);
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s14[4].sample(1213);
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s14[3].sample(1124);
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s14[2].sample(1243);
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s14[7].sample(1244);
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s14[4].sample(7234);
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s14[2].sample(9234);
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s14[3].sample(1764);
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s14[7].sample(1564);
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s14[3].sample(3234);
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s14[1].sample(2234);
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s14[5].sample(1234);
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s14[2].sample(4334);
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s14[2].sample(1234);
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s14[4].sample(4334);
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s14[6].sample(1234);
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s14[8].sample(8734);
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s14[1].sample(5234);
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s14[3].sample(8234);
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s14[7].sample(5234);
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s14[4].sample(4434);
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s14[3].sample(7234);
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s14[2].sample(1934);
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s14[1].sample(9234);
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s14[5].sample(5634);
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s14[3].sample(1264);
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s14[7].sample(5223);
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s14[0].sample(1234);
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s14[0].sample(5434);
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s14[3].sample(8634);
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s14[1].sample(1234);
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s15[0].sample(1234);
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s15[1].sample(4134);
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curTick += ULL(1000000);
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s15[4].sample(1213);
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curTick += ULL(1000000);
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s15[3].sample(1124);
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curTick += ULL(1000000);
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s15[2].sample(1243);
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curTick += ULL(1000000);
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s15[7].sample(1244);
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curTick += ULL(1000000);
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s15[4].sample(7234);
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s15[2].sample(9234);
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s15[3].sample(1764);
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s15[7].sample(1564);
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s15[3].sample(3234);
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s15[1].sample(2234);
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curTick += ULL(1000000);
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s15[5].sample(1234);
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curTick += ULL(1000000);
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s15[9].sample(4334);
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curTick += ULL(1000000);
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s15[2].sample(1234);
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curTick += ULL(1000000);
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s15[4].sample(4334);
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s15[6].sample(1234);
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curTick += ULL(1000000);
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s15[8].sample(8734);
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curTick += ULL(1000000);
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s15[1].sample(5234);
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curTick += ULL(1000000);
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s15[3].sample(8234);
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curTick += ULL(1000000);
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s15[7].sample(5234);
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s15[4].sample(4434);
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s15[3].sample(7234);
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s15[2].sample(1934);
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s15[1].sample(9234);
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curTick += ULL(1000000);
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s15[5].sample(5634);
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s15[3].sample(1264);
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s15[7].sample(5223);
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s15[0].sample(1234);
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s15[0].sample(5434);
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s15[3].sample(8634);
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curTick += ULL(1000000);
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s15[1].sample(1234);
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s4 = curTick;
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s8[3] = 99999;
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s3 = 12;
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s3++;
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curTick += 9;
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s1 = 9;
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s1 += 9;
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s1 -= 11;
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s1++;
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++s1;
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s1--;
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--s1;
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s2 = 9;
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s5[0] += 1;
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s5[1] += 2;
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s5[2] += 3;
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s5[3] += 4;
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s5[4] += 5;
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s7[0] = 10;
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s7[1] = 20;
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s7[2] = 30;
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s7[3] = 40;
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s7[4] = 50;
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s7[5] = 60;
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s7[6] = 70;
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s6.sample(0);
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s6.sample(1);
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s6.sample(2);
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s6.sample(3);
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s6.sample(4);
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s6.sample(5);
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s6.sample(6);
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s6.sample(7);
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s6.sample(8);
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s6.sample(9);
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bin2.activate();
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s6.sample(10);
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s6.sample(10);
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s6.sample(10);
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s6.sample(10);
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s6.sample(10);
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s6.sample(10);
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s6.sample(10);
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s6.sample(10);
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s6.sample(11);
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s6.sample(19);
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s6.sample(20);
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s6.sample(20);
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s6.sample(21);
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s6.sample(21);
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s6.sample(31);
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s6.sample(98);
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s6.sample(99);
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s6.sample(99);
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s6.sample(99);
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s7[0] = 700;
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s7[1] = 600;
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s7[2] = 500;
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s7[3] = 400;
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s7[4] = 300;
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s7[5] = 200;
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s7[6] = 100;
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s9.sample(100);
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s9.sample(100);
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s9.sample(100);
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s9.sample(100);
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s9.sample(10);
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s9.sample(10);
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s9.sample(10);
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s9.sample(10);
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s9.sample(10);
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curTick += 9;
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s4 = curTick;
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s6.sample(100);
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s6.sample(100);
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s6.sample(100);
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s6.sample(101);
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s6.sample(102);
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s12.sample(100);
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// dump(cout, mode_simplescalar);
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python_start("/tmp/stats.py");
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python_dump("stattest", "all");
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return 0;
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}
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