b4405682d9
--HG-- extra : convert_revision : 3084b292bbe2e8a392af8e99a31763ca0b0a9467
2902 lines
71 KiB
C++
2902 lines
71 KiB
C++
/*
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* Copyright (c) 2003-2004 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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/** @file
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* Declaration of Statistics objects.
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*/
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/**
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* @todo
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*
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* Generalized N-dimensinal vector
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* documentation
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* key stats
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* interval stats
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* -- these both can use the same function that prints out a
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* specific set of stats
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* VectorStandardDeviation totals
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* Document Namespaces
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*/
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#ifndef __BASE_STATISTICS_HH__
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#define __BASE_STATISTICS_HH__
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#include <algorithm>
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#include <cassert>
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#include <cmath>
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#include <functional>
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#include <iosfwd>
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#include <sstream>
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#include <string>
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#include <vector>
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#include "base/cprintf.hh"
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#include "base/intmath.hh"
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#include "base/refcnt.hh"
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#include "base/str.hh"
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#include "base/stats/bin.hh"
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#include "base/stats/flags.hh"
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#include "base/stats/visit.hh"
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#include "base/stats/types.hh"
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#include "sim/host.hh"
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class Callback;
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/** The current simulated cycle. */
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extern Tick curTick;
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/* A namespace for all of the Statistics */
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namespace Stats {
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/* Contains the statistic implementation details */
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//////////////////////////////////////////////////////////////////////
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//
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// Statistics Framework Base classes
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//
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//////////////////////////////////////////////////////////////////////
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struct StatData
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{
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/** The name of the stat. */
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std::string name;
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/** The description of the stat. */
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std::string desc;
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/** The formatting flags. */
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StatFlags flags;
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/** The display precision. */
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int precision;
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/** A pointer to a prerequisite Stat. */
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const StatData *prereq;
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/**
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* A unique stat ID for each stat in the simulator.
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* Can be used externally for lookups as well as for debugging.
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*/
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int id;
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StatData();
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virtual ~StatData();
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/**
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* @return true if the stat is binned.
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*/
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virtual bool binned() const = 0;
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/**
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* Reset the corresponding stat to the default state.
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*/
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virtual void reset() = 0;
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/**
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* @return true if this stat has a value and satisfies its
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* requirement as a prereq
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*/
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virtual bool zero() const = 0;
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/**
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* Check that this stat has been set up properly and is ready for
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* use
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* @return true for success
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*/
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virtual bool check() const = 0;
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bool baseCheck() const;
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/**
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* Visitor entry for outputing statistics data
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*/
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virtual void visit(Visit &visitor) = 0;
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/**
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* Checks if the first stat's name is alphabetically less than the second.
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* This function breaks names up at periods and considers each subname
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* separately.
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* @param stat1 The first stat.
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* @param stat2 The second stat.
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* @return stat1's name is alphabetically before stat2's
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*/
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static bool less(StatData *stat1, StatData *stat2);
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};
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class ScalarData : public StatData
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{
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public:
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virtual Counter value() const = 0;
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virtual Result result() const = 0;
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virtual Result total() const = 0;
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virtual void visit(Visit &visitor) { visitor.visit(*this); }
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};
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template <class Stat>
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class ScalarStatData : public ScalarData
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{
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protected:
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Stat &s;
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public:
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ScalarStatData(Stat &stat) : s(stat) {}
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virtual bool binned() const { return s.binned(); }
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virtual bool check() const { return s.check(); }
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virtual Counter value() const { return s.value(); }
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virtual Result result() const { return s.result(); }
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virtual Result total() const { return s.total(); }
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virtual void reset() { s.reset(); }
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virtual bool zero() const { return s.zero(); }
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};
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struct VectorData : public StatData
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{
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/** Names and descriptions of subfields. */
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mutable std::vector<std::string> subnames;
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mutable std::vector<std::string> subdescs;
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virtual size_t size() const = 0;
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virtual const VCounter &value() const = 0;
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virtual const VResult &result() const = 0;
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virtual Result total() const = 0;
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void update()
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{
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if (!subnames.empty()) {
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int s = size();
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if (subnames.size() < s)
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subnames.resize(s);
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if (subdescs.size() < s)
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subdescs.resize(s);
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}
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}
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};
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template <class Stat>
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class VectorStatData : public VectorData
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{
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protected:
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Stat &s;
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mutable VCounter cvec;
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mutable VResult rvec;
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public:
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VectorStatData(Stat &stat) : s(stat) {}
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virtual bool binned() const { return s.binned(); }
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virtual bool check() const { return s.check(); }
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virtual bool zero() const { return s.zero(); }
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virtual void reset() { s.reset(); }
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virtual size_t size() const { return s.size(); }
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virtual VCounter &value() const
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{
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s.value(cvec);
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return cvec;
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}
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virtual const VResult &result() const
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{
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s.result(rvec);
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return rvec;
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}
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virtual Result total() const { return s.total(); }
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virtual void visit(Visit &visitor)
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{
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update();
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s.update(this);
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visitor.visit(*this);
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}
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};
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struct DistDataData
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{
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Counter min_val;
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Counter max_val;
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Counter underflow;
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Counter overflow;
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VCounter cvec;
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Counter sum;
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Counter squares;
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Counter samples;
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Counter min;
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Counter max;
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Counter bucket_size;
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int size;
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bool fancy;
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};
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struct DistData : public StatData
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{
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/** Local storage for the entry values, used for printing. */
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DistDataData data;
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};
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template <class Stat>
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class DistStatData : public DistData
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{
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protected:
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Stat &s;
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public:
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DistStatData(Stat &stat) : s(stat) {}
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virtual bool binned() const { return s.binned(); }
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virtual bool check() const { return s.check(); }
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virtual void reset() { s.reset(); }
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virtual bool zero() const { return s.zero(); }
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virtual void visit(Visit &visitor)
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{
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s.update(this);
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visitor.visit(*this);
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}
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};
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struct VectorDistData : public StatData
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{
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std::vector<DistDataData> data;
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/** Names and descriptions of subfields. */
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mutable std::vector<std::string> subnames;
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mutable std::vector<std::string> subdescs;
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/** Local storage for the entry values, used for printing. */
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mutable VResult rvec;
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virtual size_t size() const = 0;
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void update()
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{
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int s = size();
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if (subnames.size() < s)
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subnames.resize(s);
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if (subdescs.size() < s)
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subdescs.resize(s);
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}
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};
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template <class Stat>
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class VectorDistStatData : public VectorDistData
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{
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protected:
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Stat &s;
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typedef typename Stat::bin_t bin_t;
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public:
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VectorDistStatData(Stat &stat) : s(stat) {}
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virtual bool binned() const { return bin_t::binned; }
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virtual bool check() const { return s.check(); }
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virtual void reset() { s.reset(); }
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virtual size_t size() const { return s.size(); }
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virtual bool zero() const { return s.zero(); }
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virtual void visit(Visit &visitor)
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{
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update();
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s.update(this);
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visitor.visit(*this);
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}
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};
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struct Vector2dData : public StatData
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{
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/** Names and descriptions of subfields. */
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std::vector<std::string> subnames;
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std::vector<std::string> subdescs;
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std::vector<std::string> y_subnames;
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/** Local storage for the entry values, used for printing. */
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mutable VCounter cvec;
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mutable int x;
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mutable int y;
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void update()
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{
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if (subnames.size() < x)
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subnames.resize(x);
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}
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};
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template <class Stat>
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class Vector2dStatData : public Vector2dData
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{
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protected:
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Stat &s;
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typedef typename Stat::bin_t bin_t;
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public:
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Vector2dStatData(Stat &stat) : s(stat) {}
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virtual bool binned() const { return bin_t::binned; }
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virtual bool check() const { return s.check(); }
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virtual void reset() { s.reset(); }
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virtual bool zero() const { return s.zero(); }
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virtual void visit(Visit &visitor)
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{
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update();
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s.update(this);
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visitor.visit(*this);
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}
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};
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class DataAccess
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{
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protected:
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StatData *find() const;
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void map(StatData *data);
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StatData *statData();
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const StatData *statData() const;
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void setInit();
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void setPrint();
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};
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template <class Parent, class Child, template <class> class Data>
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class Wrap : public Child
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{
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protected:
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Parent &self() { return *reinterpret_cast<Parent *>(this); }
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protected:
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Data<Child> *statData()
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{
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StatData *__data = DataAccess::statData();
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Data<Child> *ptr = dynamic_cast<Data<Child> *>(__data);
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assert(ptr);
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return ptr;
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}
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public:
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const Data<Child> *statData() const
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{
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const StatData *__data = DataAccess::statData();
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const Data<Child> *ptr = dynamic_cast<const Data<Child> *>(__data);
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assert(ptr);
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return ptr;
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}
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protected:
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/**
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* Copy constructor, copies are not allowed.
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*/
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Wrap(const Wrap &stat);
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/**
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* Can't copy stats.
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*/
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void operator=(const Wrap &);
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public:
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Wrap()
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{
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map(new Data<Child>(*this));
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}
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/**
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* Set the name and marks this stat to print at the end of simulation.
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* @param name The new name.
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* @return A reference to this stat.
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*/
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Parent &name(const std::string &_name)
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{
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Data<Child> *data = statData();
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data->name = _name;
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setPrint();
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return self();
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}
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/**
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* Set the description and marks this stat to print at the end of
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* simulation.
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* @param desc The new description.
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* @return A reference to this stat.
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*/
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Parent &desc(const std::string &_desc)
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{
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statData()->desc = _desc;
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return self();
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}
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/**
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* Set the precision and marks this stat to print at the end of simulation.
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* @param p The new precision
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* @return A reference to this stat.
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*/
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Parent &precision(int _precision)
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{
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statData()->precision = _precision;
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return self();
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}
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/**
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* Set the flags and marks this stat to print at the end of simulation.
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* @param f The new flags.
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* @return A reference to this stat.
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*/
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Parent &flags(StatFlags _flags)
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{
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statData()->flags |= _flags;
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return self();
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}
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/**
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* Set the prerequisite stat and marks this stat to print at the end of
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* simulation.
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* @param prereq The prerequisite stat.
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* @return A reference to this stat.
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*/
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template <class Stat>
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Parent &prereq(const Stat &prereq)
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{
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statData()->prereq = prereq.statData();
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return self();
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}
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};
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template <class Parent, class Child, template <class Child> class Data>
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class WrapVec : public Wrap<Parent, Child, Data>
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{
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public:
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// The following functions are specific to vectors. If you use them
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// in a non vector context, you will get a nice compiler error!
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/**
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* Set the subfield name for the given index, and marks this stat to print
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* at the end of simulation.
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* @param index The subfield index.
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* @param name The new name of the subfield.
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* @return A reference to this stat.
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*/
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Parent &subname(int index, const std::string &name)
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{
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std::vector<std::string> &subn = statData()->subnames;
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if (subn.size() <= index)
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subn.resize(index + 1);
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subn[index] = name;
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return self();
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}
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/**
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* Set the subfield description for the given index and marks this stat to
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* print at the end of simulation.
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* @param index The subfield index.
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* @param desc The new description of the subfield
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* @return A reference to this stat.
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*/
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Parent &subdesc(int index, const std::string &desc)
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{
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std::vector<std::string> &subd = statData()->subdescs;
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if (subd.size() <= index)
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subd.resize(index + 1);
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subd[index] = desc;
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return self();
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}
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};
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template <class Parent, class Child, template <class Child> class Data>
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class WrapVec2d : public WrapVec<Parent, Child, Data>
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{
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public:
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/**
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* @warning This makes the assumption that if you're gonna subnames a 2d
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* vector, you're subnaming across all y
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*/
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Parent &ysubnames(const char **names)
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{
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Data<Child> *data = statData();
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data->y_subnames.resize(y);
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for (int i = 0; i < y; ++i)
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data->y_subnames[i] = names[i];
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return self();
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}
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Parent &ysubname(int index, const std::string subname)
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{
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Data<Child> *data = statData();
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assert(index < y);
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data->y_subnames.resize(y);
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data->y_subnames[index] = subname.c_str();
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return self();
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}
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};
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|
//////////////////////////////////////////////////////////////////////
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//
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// Simple Statistics
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|
//
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|
//////////////////////////////////////////////////////////////////////
|
|
|
|
/**
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|
* Templatized storage and interface for a simple scalar stat.
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*/
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struct StatStor
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|
{
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public:
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|
/** The paramaters for this storage type, none for a scalar. */
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struct Params { };
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private:
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/** The statistic value. */
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Counter data;
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public:
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/**
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* Builds this storage element and calls the base constructor of the
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* datatype.
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*/
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StatStor(const Params &) : data(Counter()) {}
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|
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/**
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* The the stat to the given value.
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* @param val The new value.
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* @param p The paramters of this storage type.
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*/
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void set(Counter val, const Params &p) { data = val; }
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/**
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* Increment the stat by the given value.
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* @param val The new value.
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|
* @param p The paramters of this storage type.
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*/
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void inc(Counter val, const Params &p) { data += val; }
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/**
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* Decrement the stat by the given value.
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|
* @param val The new value.
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* @param p The paramters of this storage type.
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*/
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void dec(Counter val, const Params &p) { data -= val; }
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/**
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* Return the value of this stat as its base type.
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|
* @param p The params of this storage type.
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|
* @return The value of this stat.
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|
*/
|
|
Counter value(const Params &p) const { return data; }
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/**
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* Return the value of this stat as a result type.
|
|
* @param p The parameters of this storage type.
|
|
* @return The value of this stat.
|
|
*/
|
|
Result result(const Params &p) const { return (Result)data; }
|
|
/**
|
|
* Reset stat value to default
|
|
*/
|
|
void reset() { data = Counter(); }
|
|
|
|
/**
|
|
* @return true if zero value
|
|
*/
|
|
bool zero() const { return data == Counter(); }
|
|
};
|
|
|
|
/**
|
|
* Templatized storage and interface to a per-cycle average stat. This keeps
|
|
* a current count and updates a total (count * cycles) when this count
|
|
* changes. This allows the quick calculation of a per cycle count of the item
|
|
* being watched. This is good for keeping track of residencies in structures
|
|
* among other things.
|
|
* @todo add lateny to the stat and fix binning.
|
|
*/
|
|
struct AvgStor
|
|
{
|
|
public:
|
|
/** The paramaters for this storage type */
|
|
struct Params
|
|
{
|
|
/**
|
|
* The current count. We stash this here because the current
|
|
* value is not a binned value.
|
|
*/
|
|
Counter current;
|
|
};
|
|
|
|
private:
|
|
/** The total count for all cycles. */
|
|
mutable Result total;
|
|
/** The cycle that current last changed. */
|
|
mutable Tick last;
|
|
|
|
public:
|
|
/**
|
|
* Build and initializes this stat storage.
|
|
*/
|
|
AvgStor(Params &p) : total(0), last(0) { p.current = Counter(); }
|
|
|
|
/**
|
|
* Set the current count to the one provided, update the total and last
|
|
* set values.
|
|
* @param val The new count.
|
|
* @param p The parameters for this storage.
|
|
*/
|
|
void set(Counter val, Params &p) {
|
|
total += p.current * (curTick - last);
|
|
last = curTick;
|
|
p.current = val;
|
|
}
|
|
|
|
/**
|
|
* Increment the current count by the provided value, calls set.
|
|
* @param val The amount to increment.
|
|
* @param p The parameters for this storage.
|
|
*/
|
|
void inc(Counter val, Params &p) { set(p.current + val, p); }
|
|
|
|
/**
|
|
* Deccrement the current count by the provided value, calls set.
|
|
* @param val The amount to decrement.
|
|
* @param p The parameters for this storage.
|
|
*/
|
|
void dec(Counter val, Params &p) { set(p.current - val, p); }
|
|
|
|
/**
|
|
* Return the current count.
|
|
* @param p The parameters for this storage.
|
|
* @return The current count.
|
|
*/
|
|
Counter value(const Params &p) const { return p.current; }
|
|
|
|
/**
|
|
* Return the current average.
|
|
* @param p The parameters for this storage.
|
|
* @return The current average.
|
|
*/
|
|
Result result(const Params &p) const
|
|
{
|
|
total += p.current * (curTick - last);
|
|
last = curTick;
|
|
return (Result)(total + p.current) / (Result)(curTick + 1);
|
|
}
|
|
|
|
/**
|
|
* Reset stat value to default
|
|
*/
|
|
void reset()
|
|
{
|
|
total = 0;
|
|
last = curTick;
|
|
}
|
|
|
|
/**
|
|
* @return true if zero value
|
|
*/
|
|
bool zero() const { return total == 0.0; }
|
|
};
|
|
|
|
/**
|
|
* Implementation of a scalar stat. The type of stat is determined by the
|
|
* Storage template. The storage for this stat is held within the Bin class.
|
|
* This allows for breaking down statistics across multiple bins easily.
|
|
*/
|
|
template <class Storage, class Bin>
|
|
class ScalarBase : public DataAccess
|
|
{
|
|
public:
|
|
/** Define the params of the storage class. */
|
|
typedef typename Storage::Params params_t;
|
|
/** Define the bin type. */
|
|
typedef typename Bin::Bin<Storage> bin_t;
|
|
|
|
protected:
|
|
/** The bin of this stat. */
|
|
bin_t bin;
|
|
/** The parameters for this stat. */
|
|
params_t params;
|
|
|
|
protected:
|
|
/**
|
|
* Retrieve the storage from the bin.
|
|
* @return The storage object for this stat.
|
|
*/
|
|
Storage *data() { return bin.data(params); }
|
|
/**
|
|
* Retrieve a const pointer to the storage from the bin.
|
|
* @return A const pointer to the storage object for this stat.
|
|
*/
|
|
const Storage *data() const
|
|
{
|
|
bin_t *_bin = const_cast<bin_t *>(&bin);
|
|
params_t *_params = const_cast<params_t *>(¶ms);
|
|
return _bin->data(*_params);
|
|
}
|
|
|
|
public:
|
|
/**
|
|
* Return the current value of this stat as its base type.
|
|
* @return The current value.
|
|
*/
|
|
Counter value() const { return data()->value(params); }
|
|
|
|
public:
|
|
/**
|
|
* Create and initialize this stat, register it with the database.
|
|
*/
|
|
ScalarBase()
|
|
{
|
|
bin.init(params);
|
|
}
|
|
|
|
public:
|
|
// Common operators for stats
|
|
/**
|
|
* Increment the stat by 1. This calls the associated storage object inc
|
|
* function.
|
|
*/
|
|
void operator++() { data()->inc(1, params); }
|
|
/**
|
|
* Decrement the stat by 1. This calls the associated storage object dec
|
|
* function.
|
|
*/
|
|
void operator--() { data()->dec(1, params); }
|
|
|
|
/** Increment the stat by 1. */
|
|
void operator++(int) { ++*this; }
|
|
/** Decrement the stat by 1. */
|
|
void operator--(int) { --*this; }
|
|
|
|
/**
|
|
* Set the data value to the given value. This calls the associated storage
|
|
* object set function.
|
|
* @param v The new value.
|
|
*/
|
|
template <typename U>
|
|
void operator=(const U &v) { data()->set(v, params); }
|
|
|
|
/**
|
|
* Increment the stat by the given value. This calls the associated
|
|
* storage object inc function.
|
|
* @param v The value to add.
|
|
*/
|
|
template <typename U>
|
|
void operator+=(const U &v) { data()->inc(v, params); }
|
|
|
|
/**
|
|
* Decrement the stat by the given value. This calls the associated
|
|
* storage object dec function.
|
|
* @param v The value to substract.
|
|
*/
|
|
template <typename U>
|
|
void operator-=(const U &v) { data()->dec(v, params); }
|
|
|
|
/**
|
|
* Return the number of elements, always 1 for a scalar.
|
|
* @return 1.
|
|
*/
|
|
size_t size() const { return 1; }
|
|
/**
|
|
* Return true if stat is binned.
|
|
*@return True is stat is binned.
|
|
*/
|
|
bool binned() const { return bin_t::binned; }
|
|
|
|
bool check() const { return bin.initialized(); }
|
|
|
|
/**
|
|
* Reset stat value to default
|
|
*/
|
|
void reset() { bin.reset(); }
|
|
|
|
Counter value() { return data()->value(params); }
|
|
|
|
Result result() { return data()->result(params); }
|
|
|
|
Result total() { return result(); }
|
|
|
|
bool zero() { return result() == 0.0; }
|
|
|
|
};
|
|
|
|
class ProxyData : public ScalarData
|
|
{
|
|
public:
|
|
virtual void visit(Visit &visitor) { visitor.visit(*this); }
|
|
virtual bool binned() const { return false; }
|
|
virtual std::string str() const { return to_string(value()); }
|
|
virtual size_t size() const { return 1; }
|
|
virtual bool zero() const { return value() == 0; }
|
|
virtual bool check() const { return true; }
|
|
virtual void reset() { }
|
|
};
|
|
|
|
template <class T>
|
|
class ValueProxy : public ProxyData
|
|
{
|
|
private:
|
|
T *scalar;
|
|
|
|
public:
|
|
ValueProxy(T &val) : scalar(&val) {}
|
|
virtual Counter value() const { return *scalar; }
|
|
virtual Result result() const { return *scalar; }
|
|
virtual Result total() const { return *scalar; }
|
|
};
|
|
|
|
template <class T>
|
|
class FunctorProxy : public ProxyData
|
|
{
|
|
private:
|
|
T *functor;
|
|
|
|
public:
|
|
FunctorProxy(T &func) : functor(&func) {}
|
|
virtual Counter value() const { return (*functor)(); }
|
|
virtual Result result() const { return (*functor)(); }
|
|
virtual Result total() const { return (*functor)(); }
|
|
};
|
|
|
|
class ValueBase : public DataAccess
|
|
{
|
|
private:
|
|
ProxyData *proxy;
|
|
|
|
public:
|
|
ValueBase() : proxy(NULL) { }
|
|
~ValueBase() { if (proxy) delete proxy; }
|
|
|
|
template <class T>
|
|
void scalar(T &value)
|
|
{
|
|
proxy = new ValueProxy<T>(value);
|
|
setInit();
|
|
}
|
|
|
|
template <class T>
|
|
void functor(T &func)
|
|
{
|
|
proxy = new FunctorProxy<T>(func);
|
|
setInit();
|
|
}
|
|
|
|
Counter value() { return proxy->value(); }
|
|
Result result() const { return proxy->result(); }
|
|
Result total() const { return proxy->total(); };
|
|
size_t size() const { return proxy->size(); }
|
|
|
|
bool binned() const { return proxy->binned(); }
|
|
std::string str() const { return proxy->str(); }
|
|
bool zero() const { return proxy->zero(); }
|
|
bool check() const { return proxy != NULL; }
|
|
void reset() { }
|
|
};
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
//
|
|
// Vector Statistics
|
|
//
|
|
//////////////////////////////////////////////////////////////////////
|
|
template <class Storage, class Bin>
|
|
class ScalarProxy;
|
|
|
|
/**
|
|
* Implementation of a vector of stats. The type of stat is determined by the
|
|
* Storage class. @sa ScalarBase
|
|
*/
|
|
template <class Storage, class Bin>
|
|
class VectorBase : public DataAccess
|
|
{
|
|
public:
|
|
/** Define the params of the storage class. */
|
|
typedef typename Storage::Params params_t;
|
|
/** Define the bin type. */
|
|
typedef typename Bin::VectorBin<Storage> bin_t;
|
|
|
|
protected:
|
|
/** The bin of this stat. */
|
|
bin_t bin;
|
|
/** The parameters for this stat. */
|
|
params_t params;
|
|
|
|
protected:
|
|
/**
|
|
* Retrieve the storage from the bin for the given index.
|
|
* @param index The vector index to access.
|
|
* @return The storage object at the given index.
|
|
*/
|
|
Storage *data(int index) { return bin.data(index, params); }
|
|
/**
|
|
* Retrieve a const pointer to the storage from the bin
|
|
* for the given index.
|
|
* @param index The vector index to access.
|
|
* @return A const pointer to the storage object at the given index.
|
|
*/
|
|
const Storage *data(int index) const
|
|
{
|
|
bin_t *_bin = const_cast<bin_t *>(&bin);
|
|
params_t *_params = const_cast<params_t *>(¶ms);
|
|
return _bin->data(index, *_params);
|
|
}
|
|
|
|
public:
|
|
void value(VCounter &vec) const
|
|
{
|
|
vec.resize(size());
|
|
for (int i = 0; i < size(); ++i)
|
|
vec[i] = data(i)->value(params);
|
|
}
|
|
|
|
/**
|
|
* Copy the values to a local vector and return a reference to it.
|
|
* @return A reference to a vector of the stat values.
|
|
*/
|
|
void result(VResult &vec) const
|
|
{
|
|
vec.resize(size());
|
|
for (int i = 0; i < size(); ++i)
|
|
vec[i] = data(i)->result(params);
|
|
}
|
|
|
|
/**
|
|
* @return True is stat is binned.
|
|
*/
|
|
bool binned() const { return bin_t::binned; }
|
|
|
|
/**
|
|
* Return a total of all entries in this vector.
|
|
* @return The total of all vector entries.
|
|
*/
|
|
Result total() const {
|
|
Result total = 0.0;
|
|
for (int i = 0; i < size(); ++i)
|
|
total += data(i)->result(params);
|
|
return total;
|
|
}
|
|
|
|
/**
|
|
* @return the number of elements in this vector.
|
|
*/
|
|
size_t size() const { return bin.size(); }
|
|
|
|
bool zero() const
|
|
{
|
|
for (int i = 0; i < size(); ++i)
|
|
if (data(i)->zero())
|
|
return true;
|
|
return false;
|
|
}
|
|
|
|
bool check() const { return bin.initialized(); }
|
|
void reset() { bin.reset(); }
|
|
|
|
public:
|
|
VectorBase() {}
|
|
|
|
/** Friend this class with the associated scalar proxy. */
|
|
friend class ScalarProxy<Storage, Bin>;
|
|
|
|
/**
|
|
* Return a reference (ScalarProxy) to the stat at the given index.
|
|
* @param index The vector index to access.
|
|
* @return A reference of the stat.
|
|
*/
|
|
ScalarProxy<Storage, Bin> operator[](int index);
|
|
|
|
void update(StatData *data) {}
|
|
};
|
|
|
|
const StatData * getStatData(const void *stat);
|
|
|
|
/**
|
|
* A proxy class to access the stat at a given index in a VectorBase stat.
|
|
* Behaves like a ScalarBase.
|
|
*/
|
|
template <class Storage, class Bin>
|
|
class ScalarProxy
|
|
{
|
|
public:
|
|
/** Define the params of the storage class. */
|
|
typedef typename Storage::Params params_t;
|
|
/** Define the bin type. */
|
|
typedef typename Bin::VectorBin<Storage> bin_t;
|
|
|
|
private:
|
|
/** Pointer to the bin in the parent VectorBase. */
|
|
bin_t *bin;
|
|
/** Pointer to the params in the parent VectorBase. */
|
|
params_t *params;
|
|
/** The index to access in the parent VectorBase. */
|
|
int index;
|
|
/** Keep a pointer to the original stat so was can get data */
|
|
void *stat;
|
|
|
|
protected:
|
|
/**
|
|
* Retrieve the storage from the bin.
|
|
* @return The storage from the bin for this stat.
|
|
*/
|
|
Storage *data() { return bin->data(index, *params); }
|
|
/**
|
|
* Retrieve a const pointer to the storage from the bin.
|
|
* @return A const pointer to the storage for this stat.
|
|
*/
|
|
const Storage *data() const
|
|
{
|
|
bin_t *_bin = const_cast<bin_t *>(bin);
|
|
params_t *_params = const_cast<params_t *>(params);
|
|
return _bin->data(index, *_params);
|
|
}
|
|
|
|
public:
|
|
/**
|
|
* Return the current value of this stat as its base type.
|
|
* @return The current value.
|
|
*/
|
|
Counter value() const { return data()->value(*params); }
|
|
|
|
/**
|
|
* Return the current value of this statas a result type.
|
|
* @return The current value.
|
|
*/
|
|
Result result() const { return data()->result(*params); }
|
|
|
|
public:
|
|
/**
|
|
* Create and initialize this proxy, do not register it with the database.
|
|
* @param b The bin to use.
|
|
* @param p The params to use.
|
|
* @param i The index to access.
|
|
*/
|
|
ScalarProxy(bin_t &b, params_t &p, int i, void *s)
|
|
: bin(&b), params(&p), index(i), stat(s) {}
|
|
/**
|
|
* Create a copy of the provided ScalarProxy.
|
|
* @param sp The proxy to copy.
|
|
*/
|
|
ScalarProxy(const ScalarProxy &sp)
|
|
: bin(sp.bin), params(sp.params), index(sp.index), stat(sp.stat) {}
|
|
/**
|
|
* Set this proxy equal to the provided one.
|
|
* @param sp The proxy to copy.
|
|
* @return A reference to this proxy.
|
|
*/
|
|
const ScalarProxy &operator=(const ScalarProxy &sp) {
|
|
bin = sp.bin;
|
|
params = sp.params;
|
|
index = sp.index;
|
|
stat = sp.stat;
|
|
return *this;
|
|
}
|
|
|
|
public:
|
|
// Common operators for stats
|
|
/**
|
|
* Increment the stat by 1. This calls the associated storage object inc
|
|
* function.
|
|
*/
|
|
void operator++() { data()->inc(1, *params); }
|
|
/**
|
|
* Decrement the stat by 1. This calls the associated storage object dec
|
|
* function.
|
|
*/
|
|
void operator--() { data()->dec(1, *params); }
|
|
|
|
/** Increment the stat by 1. */
|
|
void operator++(int) { ++*this; }
|
|
/** Decrement the stat by 1. */
|
|
void operator--(int) { --*this; }
|
|
|
|
/**
|
|
* Set the data value to the given value. This calls the associated storage
|
|
* object set function.
|
|
* @param v The new value.
|
|
*/
|
|
template <typename U>
|
|
void operator=(const U &v) { data()->set(v, *params); }
|
|
|
|
/**
|
|
* Increment the stat by the given value. This calls the associated
|
|
* storage object inc function.
|
|
* @param v The value to add.
|
|
*/
|
|
template <typename U>
|
|
void operator+=(const U &v) { data()->inc(v, *params); }
|
|
|
|
/**
|
|
* Decrement the stat by the given value. This calls the associated
|
|
* storage object dec function.
|
|
* @param v The value to substract.
|
|
*/
|
|
template <typename U>
|
|
void operator-=(const U &v) { data()->dec(v, *params); }
|
|
|
|
/**
|
|
* Return the number of elements, always 1 for a scalar.
|
|
* @return 1.
|
|
*/
|
|
size_t size() const { return 1; }
|
|
|
|
/**
|
|
* Return true if stat is binned.
|
|
*@return false since Proxies aren't printed/binned
|
|
*/
|
|
bool binned() const { return false; }
|
|
|
|
/**
|
|
* This stat has no state. Nothing to reset
|
|
*/
|
|
void reset() { }
|
|
|
|
public:
|
|
const StatData *statData() const { return getStatData(stat); }
|
|
std::string str() const
|
|
{
|
|
return csprintf("%s[%d]", statData()->name, index);
|
|
|
|
}
|
|
};
|
|
|
|
template <class Storage, class Bin>
|
|
inline ScalarProxy<Storage, Bin>
|
|
VectorBase<Storage, Bin>::operator[](int index)
|
|
{
|
|
assert (index >= 0 && index < size());
|
|
return ScalarProxy<Storage, Bin>(bin, params, index, this);
|
|
}
|
|
|
|
template <class Storage, class Bin>
|
|
class VectorProxy;
|
|
|
|
template <class Storage, class Bin>
|
|
class Vector2dBase : public DataAccess
|
|
{
|
|
public:
|
|
typedef typename Storage::Params params_t;
|
|
typedef typename Bin::VectorBin<Storage> bin_t;
|
|
|
|
protected:
|
|
size_t x;
|
|
size_t y;
|
|
bin_t bin;
|
|
params_t params;
|
|
|
|
protected:
|
|
Storage *data(int index) { return bin.data(index, params); }
|
|
const Storage *data(int index) const
|
|
{
|
|
bin_t *_bin = const_cast<bin_t *>(&bin);
|
|
params_t *_params = const_cast<params_t *>(¶ms);
|
|
return _bin->data(index, *_params);
|
|
}
|
|
|
|
public:
|
|
Vector2dBase() {}
|
|
|
|
void update(Vector2dData *data)
|
|
{
|
|
int size = this->size();
|
|
data->cvec.resize(size);
|
|
for (int i = 0; i < size; ++i)
|
|
data->cvec[i] = this->data(i)->value(params);
|
|
}
|
|
|
|
std::string ysubname(int i) const { return (*y_subnames)[i]; }
|
|
|
|
friend class VectorProxy<Storage, Bin>;
|
|
VectorProxy<Storage, Bin> operator[](int index);
|
|
|
|
size_t size() const { return bin.size(); }
|
|
bool zero() const { return data(0)->value(params) == 0.0; }
|
|
|
|
/**
|
|
* Reset stat value to default
|
|
*/
|
|
void reset() { bin.reset(); }
|
|
|
|
bool check() { return bin.initialized(); }
|
|
};
|
|
|
|
template <class Storage, class Bin>
|
|
class VectorProxy
|
|
{
|
|
public:
|
|
typedef typename Storage::Params params_t;
|
|
typedef typename Bin::VectorBin<Storage> bin_t;
|
|
|
|
private:
|
|
bin_t *bin;
|
|
params_t *params;
|
|
int offset;
|
|
int len;
|
|
void *stat;
|
|
|
|
private:
|
|
mutable VResult *vec;
|
|
|
|
Storage *data(int index) {
|
|
assert(index < len);
|
|
return bin->data(offset + index, *params);
|
|
}
|
|
|
|
const Storage *data(int index) const {
|
|
bin_t *_bin = const_cast<bin_t *>(bin);
|
|
params_t *_params = const_cast<params_t *>(params);
|
|
return _bin->data(offset + index, *_params);
|
|
}
|
|
|
|
public:
|
|
const VResult &result() const {
|
|
if (vec)
|
|
vec->resize(size());
|
|
else
|
|
vec = new VResult(size());
|
|
|
|
for (int i = 0; i < size(); ++i)
|
|
(*vec)[i] = data(i)->result(*params);
|
|
|
|
return *vec;
|
|
}
|
|
|
|
Result total() const {
|
|
Result total = 0.0;
|
|
for (int i = 0; i < size(); ++i)
|
|
total += data(i)->result(*params);
|
|
return total;
|
|
}
|
|
|
|
public:
|
|
VectorProxy(bin_t &b, params_t &p, int o, int l, void *s)
|
|
: bin(&b), params(&p), offset(o), len(l), stat(s), vec(NULL)
|
|
{
|
|
}
|
|
|
|
VectorProxy(const VectorProxy &sp)
|
|
: bin(sp.bin), params(sp.params), offset(sp.offset), len(sp.len),
|
|
stat(sp.stat), vec(NULL)
|
|
{
|
|
}
|
|
|
|
~VectorProxy()
|
|
{
|
|
if (vec)
|
|
delete vec;
|
|
}
|
|
|
|
const VectorProxy &operator=(const VectorProxy &sp)
|
|
{
|
|
bin = sp.bin;
|
|
params = sp.params;
|
|
offset = sp.offset;
|
|
len = sp.len;
|
|
stat = sp.stat;
|
|
if (vec)
|
|
delete vec;
|
|
vec = NULL;
|
|
return *this;
|
|
}
|
|
|
|
ScalarProxy<Storage, Bin> operator[](int index)
|
|
{
|
|
assert (index >= 0 && index < size());
|
|
return ScalarProxy<Storage, Bin>(*bin, *params, offset + index, stat);
|
|
}
|
|
|
|
size_t size() const { return len; }
|
|
|
|
/**
|
|
* Return true if stat is binned.
|
|
*@return false since Proxies aren't printed/binned
|
|
*/
|
|
bool binned() const { return false; }
|
|
|
|
/**
|
|
* This stat has no state. Nothing to reset.
|
|
*/
|
|
void reset() { }
|
|
};
|
|
|
|
template <class Storage, class Bin>
|
|
inline VectorProxy<Storage, Bin>
|
|
Vector2dBase<Storage, Bin>::operator[](int index)
|
|
{
|
|
int offset = index * y;
|
|
assert (index >= 0 && offset < size());
|
|
return VectorProxy<Storage, Bin>(bin, params, offset, y, this);
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
//
|
|
// Non formula statistics
|
|
//
|
|
//////////////////////////////////////////////////////////////////////
|
|
|
|
/**
|
|
* Templatized storage and interface for a distrbution stat.
|
|
*/
|
|
struct DistStor
|
|
{
|
|
public:
|
|
/** The parameters for a distribution stat. */
|
|
struct Params
|
|
{
|
|
/** The minimum value to track. */
|
|
Counter min;
|
|
/** The maximum value to track. */
|
|
Counter max;
|
|
/** The number of entries in each bucket. */
|
|
Counter bucket_size;
|
|
/** The number of buckets. Equal to (max-min)/bucket_size. */
|
|
int size;
|
|
};
|
|
enum { fancy = false };
|
|
|
|
private:
|
|
/** The smallest value sampled. */
|
|
Counter min_val;
|
|
/** The largest value sampled. */
|
|
Counter max_val;
|
|
/** The number of values sampled less than min. */
|
|
Counter underflow;
|
|
/** The number of values sampled more than max. */
|
|
Counter overflow;
|
|
/** The current sum. */
|
|
Counter sum;
|
|
/** The sum of squares. */
|
|
Counter squares;
|
|
/** The number of samples. */
|
|
Counter samples;
|
|
/** Counter for each bucket. */
|
|
VCounter cvec;
|
|
|
|
public:
|
|
/**
|
|
* Construct this storage with the supplied params.
|
|
* @param params The parameters.
|
|
*/
|
|
DistStor(const Params ¶ms)
|
|
: min_val(INT_MAX), max_val(INT_MIN), underflow(Counter()),
|
|
overflow(Counter()), sum(Counter()), squares(Counter()),
|
|
samples(Counter()), cvec(params.size)
|
|
{
|
|
reset();
|
|
}
|
|
|
|
/**
|
|
* Add a value to the distribution for the given number of times.
|
|
* @param val The value to add.
|
|
* @param number The number of times to add the value.
|
|
* @param params The paramters of the distribution.
|
|
*/
|
|
void sample(Counter val, int number, const Params ¶ms)
|
|
{
|
|
if (val < params.min)
|
|
underflow += number;
|
|
else if (val > params.max)
|
|
overflow += number;
|
|
else {
|
|
int index = (int)floor((val - params.min) / params.bucket_size);
|
|
assert(index < size(params));
|
|
cvec[index] += number;
|
|
}
|
|
|
|
if (val < min_val)
|
|
min_val = val;
|
|
|
|
if (val > max_val)
|
|
max_val = val;
|
|
|
|
Counter sample = val * number;
|
|
sum += sample;
|
|
squares += sample * sample;
|
|
samples += number;
|
|
}
|
|
|
|
/**
|
|
* Return the number of buckets in this distribution.
|
|
* @return the number of buckets.
|
|
* @todo Is it faster to return the size from the parameters?
|
|
*/
|
|
size_t size(const Params &) const { return cvec.size(); }
|
|
|
|
/**
|
|
* Returns true if any calls to sample have been made.
|
|
* @param params The paramters of the distribution.
|
|
* @return True if any values have been sampled.
|
|
*/
|
|
bool zero(const Params ¶ms) const
|
|
{
|
|
return samples == Counter();
|
|
}
|
|
|
|
void update(DistDataData *data, const Params ¶ms)
|
|
{
|
|
data->min = params.min;
|
|
data->max = params.max;
|
|
data->bucket_size = params.bucket_size;
|
|
data->size = params.size;
|
|
|
|
data->min_val = (min_val == INT_MAX) ? 0 : min_val;
|
|
data->max_val = (max_val == INT_MIN) ? 0 : max_val;
|
|
data->underflow = underflow;
|
|
data->overflow = overflow;
|
|
data->cvec.resize(params.size);
|
|
for (int i = 0; i < params.size; ++i)
|
|
data->cvec[i] = cvec[i];
|
|
|
|
data->sum = sum;
|
|
data->squares = squares;
|
|
data->samples = samples;
|
|
}
|
|
|
|
/**
|
|
* Reset stat value to default
|
|
*/
|
|
void reset()
|
|
{
|
|
min_val = INT_MAX;
|
|
max_val = INT_MIN;
|
|
underflow = 0;
|
|
overflow = 0;
|
|
|
|
int size = cvec.size();
|
|
for (int i = 0; i < size; ++i)
|
|
cvec[i] = Counter();
|
|
|
|
sum = Counter();
|
|
squares = Counter();
|
|
samples = Counter();
|
|
}
|
|
};
|
|
|
|
/**
|
|
* Templatized storage and interface for a distribution that calculates mean
|
|
* and variance.
|
|
*/
|
|
struct FancyStor
|
|
{
|
|
public:
|
|
/**
|
|
* No paramters for this storage.
|
|
*/
|
|
struct Params {};
|
|
enum { fancy = true };
|
|
|
|
private:
|
|
/** The current sum. */
|
|
Counter sum;
|
|
/** The sum of squares. */
|
|
Counter squares;
|
|
/** The number of samples. */
|
|
Counter samples;
|
|
|
|
public:
|
|
/**
|
|
* Create and initialize this storage.
|
|
*/
|
|
FancyStor(const Params &)
|
|
: sum(Counter()), squares(Counter()), samples(Counter())
|
|
{ }
|
|
|
|
/**
|
|
* Add a value the given number of times to this running average.
|
|
* Update the running sum and sum of squares, increment the number of
|
|
* values seen by the given number.
|
|
* @param val The value to add.
|
|
* @param number The number of times to add the value.
|
|
* @param p The parameters of this stat.
|
|
*/
|
|
void sample(Counter val, int number, const Params &p)
|
|
{
|
|
Counter value = val * number;
|
|
sum += value;
|
|
squares += value * value;
|
|
samples += number;
|
|
}
|
|
|
|
void update(DistDataData *data, const Params ¶ms)
|
|
{
|
|
data->sum = sum;
|
|
data->squares = squares;
|
|
data->samples = samples;
|
|
}
|
|
|
|
/**
|
|
* Return the number of entries in this stat, 1
|
|
* @return 1.
|
|
*/
|
|
size_t size(const Params &) const { return 1; }
|
|
|
|
/**
|
|
* Return true if no samples have been added.
|
|
* @return True if no samples have been added.
|
|
*/
|
|
bool zero(const Params &) const { return samples == Counter(); }
|
|
|
|
/**
|
|
* Reset stat value to default
|
|
*/
|
|
void reset()
|
|
{
|
|
sum = Counter();
|
|
squares = Counter();
|
|
samples = Counter();
|
|
}
|
|
};
|
|
|
|
/**
|
|
* Templatized storage for distribution that calculates per cycle mean and
|
|
* variance.
|
|
*/
|
|
struct AvgFancy
|
|
{
|
|
public:
|
|
/** No parameters for this storage. */
|
|
struct Params {};
|
|
enum { fancy = true };
|
|
|
|
private:
|
|
/** Current total. */
|
|
Counter sum;
|
|
/** Current sum of squares. */
|
|
Counter squares;
|
|
|
|
public:
|
|
/**
|
|
* Create and initialize this storage.
|
|
*/
|
|
AvgFancy(const Params &) : sum(Counter()), squares(Counter()) {}
|
|
|
|
/**
|
|
* Add a value to the distribution for the given number of times.
|
|
* Update the running sum and sum of squares.
|
|
* @param val The value to add.
|
|
* @param number The number of times to add the value.
|
|
* @param p The paramters of the distribution.
|
|
*/
|
|
void sample(Counter val, int number, const Params &p)
|
|
{
|
|
Counter value = val * number;
|
|
sum += value;
|
|
squares += value * value;
|
|
}
|
|
|
|
void update(DistDataData *data, const Params ¶ms)
|
|
{
|
|
data->sum = sum;
|
|
data->squares = squares;
|
|
data->samples = curTick;
|
|
}
|
|
|
|
/**
|
|
* Return the number of entries, in this case 1.
|
|
* @return 1.
|
|
*/
|
|
size_t size(const Params ¶ms) const { return 1; }
|
|
/**
|
|
* Return true if no samples have been added.
|
|
* @return True if the sum is zero.
|
|
*/
|
|
bool zero(const Params ¶ms) const { return sum == Counter(); }
|
|
/**
|
|
* Reset stat value to default
|
|
*/
|
|
void reset()
|
|
{
|
|
sum = Counter();
|
|
squares = Counter();
|
|
}
|
|
};
|
|
|
|
/**
|
|
* Implementation of a distribution stat. The type of distribution is
|
|
* determined by the Storage template. @sa ScalarBase
|
|
*/
|
|
template <class Storage, class Bin>
|
|
class DistBase : public DataAccess
|
|
{
|
|
public:
|
|
/** Define the params of the storage class. */
|
|
typedef typename Storage::Params params_t;
|
|
/** Define the bin type. */
|
|
typedef typename Bin::Bin<Storage> bin_t;
|
|
|
|
protected:
|
|
/** The bin of this stat. */
|
|
bin_t bin;
|
|
/** The parameters for this stat. */
|
|
params_t params;
|
|
|
|
protected:
|
|
/**
|
|
* Retrieve the storage from the bin.
|
|
* @return The storage object for this stat.
|
|
*/
|
|
Storage *data() { return bin.data(params); }
|
|
/**
|
|
* Retrieve a const pointer to the storage from the bin.
|
|
* @return A const pointer to the storage object for this stat.
|
|
*/
|
|
const Storage *data() const
|
|
{
|
|
bin_t *_bin = const_cast<bin_t *>(&bin);
|
|
params_t *_params = const_cast<params_t *>(¶ms);
|
|
return _bin->data(*_params);
|
|
}
|
|
|
|
public:
|
|
DistBase() { }
|
|
|
|
/**
|
|
* Add a value to the distribtion n times. Calls sample on the storage
|
|
* class.
|
|
* @param v The value to add.
|
|
* @param n The number of times to add it, defaults to 1.
|
|
*/
|
|
template <typename U>
|
|
void sample(const U &v, int n = 1) { data()->sample(v, n, params); }
|
|
|
|
/**
|
|
* Return the number of entries in this stat.
|
|
* @return The number of entries.
|
|
*/
|
|
size_t size() const { return data()->size(params); }
|
|
/**
|
|
* Return true if no samples have been added.
|
|
* @return True if there haven't been any samples.
|
|
*/
|
|
bool zero() const { return data()->zero(params); }
|
|
|
|
void update(DistData *base)
|
|
{
|
|
base->data.fancy = Storage::fancy;
|
|
data()->update(&(base->data), params);
|
|
}
|
|
/**
|
|
* @return True is stat is binned.
|
|
*/
|
|
bool binned() const { return bin_t::binned; }
|
|
/**
|
|
* Reset stat value to default
|
|
*/
|
|
void reset()
|
|
{
|
|
bin.reset();
|
|
}
|
|
|
|
bool check() { return bin.initialized(); }
|
|
};
|
|
|
|
template <class Storage, class Bin>
|
|
class DistProxy;
|
|
|
|
template <class Storage, class Bin>
|
|
class VectorDistBase : public DataAccess
|
|
{
|
|
public:
|
|
typedef typename Storage::Params params_t;
|
|
typedef typename Bin::VectorBin<Storage> bin_t;
|
|
|
|
protected:
|
|
bin_t bin;
|
|
params_t params;
|
|
|
|
protected:
|
|
Storage *data(int index) { return bin.data(index, params); }
|
|
const Storage *data(int index) const
|
|
{
|
|
bin_t *_bin = const_cast<bin_t *>(&bin);
|
|
params_t *_params = const_cast<params_t *>(¶ms);
|
|
return _bin->data(index, *_params);
|
|
}
|
|
|
|
public:
|
|
VectorDistBase() {}
|
|
|
|
friend class DistProxy<Storage, Bin>;
|
|
DistProxy<Storage, Bin> operator[](int index);
|
|
const DistProxy<Storage, Bin> operator[](int index) const;
|
|
|
|
size_t size() const { return bin.size(); }
|
|
bool zero() const { return false; }
|
|
/**
|
|
* Return true if stat is binned.
|
|
*@return True is stat is binned.
|
|
*/
|
|
bool binned() const { return bin_t::binned; }
|
|
/**
|
|
* Reset stat value to default
|
|
*/
|
|
void reset() { bin.reset(); }
|
|
|
|
bool check() { return bin.initialized(); }
|
|
void update(VectorDistData *base)
|
|
{
|
|
int size = this->size();
|
|
base->data.resize(size);
|
|
for (int i = 0; i < size; ++i) {
|
|
base->data[i].fancy = Storage::fancy;
|
|
data(i)->update(&(base->data[i]), params);
|
|
}
|
|
}
|
|
};
|
|
|
|
template <class Storage, class Bin>
|
|
class DistProxy
|
|
{
|
|
public:
|
|
typedef typename Storage::Params params_t;
|
|
typedef typename Bin::Bin<Storage> bin_t;
|
|
typedef VectorDistBase<Storage, Bin> base_t;
|
|
|
|
private:
|
|
union {
|
|
base_t *stat;
|
|
const base_t *cstat;
|
|
};
|
|
int index;
|
|
|
|
protected:
|
|
Storage *data() { return stat->data(index); }
|
|
const Storage *data() const { return cstat->data(index); }
|
|
|
|
public:
|
|
DistProxy(const VectorDistBase<Storage, Bin> &s, int i)
|
|
: cstat(&s), index(i) {}
|
|
DistProxy(const DistProxy &sp)
|
|
: cstat(sp.cstat), index(sp.index) {}
|
|
const DistProxy &operator=(const DistProxy &sp) {
|
|
cstat = sp.cstat; index = sp.index; return *this;
|
|
}
|
|
|
|
public:
|
|
template <typename U>
|
|
void sample(const U &v, int n = 1) { data()->sample(v, n, cstat->params); }
|
|
|
|
size_t size() const { return 1; }
|
|
bool zero() const { return data()->zero(cstat->params); }
|
|
/**
|
|
* Return true if stat is binned.
|
|
*@return false since Proxies are not binned/printed.
|
|
*/
|
|
bool binned() const { return false; }
|
|
/**
|
|
* Proxy has no state. Nothing to reset.
|
|
*/
|
|
void reset() { }
|
|
};
|
|
|
|
template <class Storage, class Bin>
|
|
inline DistProxy<Storage, Bin>
|
|
VectorDistBase<Storage, Bin>::operator[](int index)
|
|
{
|
|
assert (index >= 0 && index < size());
|
|
return DistProxy<Storage, Bin>(*this, index);
|
|
}
|
|
|
|
template <class Storage, class Bin>
|
|
inline const DistProxy<Storage, Bin>
|
|
VectorDistBase<Storage, Bin>::operator[](int index) const
|
|
{
|
|
assert (index >= 0 && index < size());
|
|
return DistProxy<Storage, Bin>(*this, index);
|
|
}
|
|
|
|
#if 0
|
|
template <class Storage, class Bin>
|
|
Result
|
|
VectorDistBase<Storage, Bin>::total(int index) const
|
|
{
|
|
int total = 0;
|
|
for (int i=0; i < x_size(); ++i) {
|
|
total += data(i)->result(*params);
|
|
}
|
|
}
|
|
#endif
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
//
|
|
// Formula Details
|
|
//
|
|
//////////////////////////////////////////////////////////////////////
|
|
|
|
/**
|
|
* Base class for formula statistic node. These nodes are used to build a tree
|
|
* that represents the formula.
|
|
*/
|
|
class Node : public RefCounted
|
|
{
|
|
public:
|
|
/**
|
|
* Return the number of nodes in the subtree starting at this node.
|
|
* @return the number of nodes in this subtree.
|
|
*/
|
|
virtual size_t size() const = 0;
|
|
/**
|
|
* Return the result vector of this subtree.
|
|
* @return The result vector of this subtree.
|
|
*/
|
|
virtual const VResult &result() const = 0;
|
|
/**
|
|
* Return the total of the result vector.
|
|
* @return The total of the result vector.
|
|
*/
|
|
virtual Result total() const = 0;
|
|
/**
|
|
* Return true if stat is binned.
|
|
*@return True is stat is binned.
|
|
*/
|
|
virtual bool binned() const = 0;
|
|
|
|
/**
|
|
*
|
|
*/
|
|
virtual std::string str() const = 0;
|
|
};
|
|
|
|
/** Reference counting pointer to a function Node. */
|
|
typedef RefCountingPtr<Node> NodePtr;
|
|
|
|
class ScalarStatNode : public Node
|
|
{
|
|
private:
|
|
const ScalarData *data;
|
|
mutable VResult vresult;
|
|
|
|
public:
|
|
ScalarStatNode(const ScalarData *d) : data(d), vresult(1) {}
|
|
virtual const VResult &result() const
|
|
{
|
|
vresult[0] = data->result();
|
|
return vresult;
|
|
}
|
|
virtual Result total() const { return data->result(); };
|
|
|
|
virtual size_t size() const { return 1; }
|
|
/**
|
|
* Return true if stat is binned.
|
|
*@return True is stat is binned.
|
|
*/
|
|
virtual bool binned() const { return data->binned(); }
|
|
|
|
/**
|
|
*
|
|
*/
|
|
virtual std::string str() const { return data->name; }
|
|
};
|
|
|
|
template <class Storage, class Bin>
|
|
class ScalarProxyNode : public Node
|
|
{
|
|
private:
|
|
const ScalarProxy<Storage, Bin> proxy;
|
|
mutable VResult vresult;
|
|
|
|
public:
|
|
ScalarProxyNode(const ScalarProxy<Storage, Bin> &p)
|
|
: proxy(p), vresult(1) { }
|
|
virtual const VResult &result() const
|
|
{
|
|
vresult[0] = proxy.result();
|
|
return vresult;
|
|
}
|
|
virtual Result total() const { return proxy.result(); };
|
|
|
|
virtual size_t size() const { return 1; }
|
|
/**
|
|
* Return true if stat is binned.
|
|
*@return True is stat is binned.
|
|
*/
|
|
virtual bool binned() const { return proxy.binned(); }
|
|
|
|
/**
|
|
*
|
|
*/
|
|
virtual std::string str() const { return proxy.str(); }
|
|
};
|
|
|
|
class VectorStatNode : public Node
|
|
{
|
|
private:
|
|
const VectorData *data;
|
|
|
|
public:
|
|
VectorStatNode(const VectorData *d) : data(d) { }
|
|
virtual const VResult &result() const { return data->result(); }
|
|
virtual Result total() const { return data->total(); };
|
|
|
|
virtual size_t size() const { return data->size(); }
|
|
/**
|
|
* Return true if stat is binned.
|
|
*@return True is stat is binned.
|
|
*/
|
|
virtual bool binned() const { return data->binned(); }
|
|
|
|
virtual std::string str() const { return data->name; }
|
|
};
|
|
|
|
template <class T>
|
|
class ConstNode : public Node
|
|
{
|
|
private:
|
|
VResult vresult;
|
|
|
|
public:
|
|
ConstNode(T s) : vresult(1, (Result)s) {}
|
|
const VResult &result() const { return vresult; }
|
|
virtual Result total() const { return vresult[0]; };
|
|
virtual size_t size() const { return 1; }
|
|
|
|
/**
|
|
* Return true if stat is binned.
|
|
*@return False since constants aren't binned.
|
|
*/
|
|
virtual bool binned() const { return false; }
|
|
|
|
virtual std::string str() const { return to_string(vresult[0]); }
|
|
};
|
|
|
|
template <class Op>
|
|
struct OpString;
|
|
|
|
template<>
|
|
struct OpString<std::plus<Result> >
|
|
{
|
|
static std::string str() { return "+"; }
|
|
};
|
|
|
|
template<>
|
|
struct OpString<std::minus<Result> >
|
|
{
|
|
static std::string str() { return "-"; }
|
|
};
|
|
|
|
template<>
|
|
struct OpString<std::multiplies<Result> >
|
|
{
|
|
static std::string str() { return "*"; }
|
|
};
|
|
|
|
template<>
|
|
struct OpString<std::divides<Result> >
|
|
{
|
|
static std::string str() { return "/"; }
|
|
};
|
|
|
|
template<>
|
|
struct OpString<std::modulus<Result> >
|
|
{
|
|
static std::string str() { return "%"; }
|
|
};
|
|
|
|
template<>
|
|
struct OpString<std::negate<Result> >
|
|
{
|
|
static std::string str() { return "-"; }
|
|
};
|
|
|
|
template <class Op>
|
|
class UnaryNode : public Node
|
|
{
|
|
public:
|
|
NodePtr l;
|
|
mutable VResult vresult;
|
|
|
|
public:
|
|
UnaryNode(NodePtr &p) : l(p) {}
|
|
|
|
const VResult &result() const
|
|
{
|
|
const VResult &lvec = l->result();
|
|
int size = lvec.size();
|
|
|
|
assert(size > 0);
|
|
|
|
vresult.resize(size);
|
|
Op op;
|
|
for (int i = 0; i < size; ++i)
|
|
vresult[i] = op(lvec[i]);
|
|
|
|
return vresult;
|
|
}
|
|
|
|
Result total() const {
|
|
Op op;
|
|
return op(l->total());
|
|
}
|
|
|
|
virtual size_t size() const { return l->size(); }
|
|
/**
|
|
* Return true if child of node is binned.
|
|
*@return True if child of node is binned.
|
|
*/
|
|
virtual bool binned() const { return l->binned(); }
|
|
|
|
virtual std::string str() const
|
|
{
|
|
return OpString<Op>::str() + l->str();
|
|
}
|
|
};
|
|
|
|
template <class Op>
|
|
class BinaryNode : public Node
|
|
{
|
|
public:
|
|
NodePtr l;
|
|
NodePtr r;
|
|
mutable VResult vresult;
|
|
|
|
public:
|
|
BinaryNode(NodePtr &a, NodePtr &b) : l(a), r(b) {}
|
|
|
|
const VResult &result() const
|
|
{
|
|
Op op;
|
|
const VResult &lvec = l->result();
|
|
const VResult &rvec = r->result();
|
|
|
|
assert(lvec.size() > 0 && rvec.size() > 0);
|
|
|
|
if (lvec.size() == 1 && rvec.size() == 1) {
|
|
vresult.resize(1);
|
|
vresult[0] = op(lvec[0], rvec[0]);
|
|
} else if (lvec.size() == 1) {
|
|
int size = rvec.size();
|
|
vresult.resize(size);
|
|
for (int i = 0; i < size; ++i)
|
|
vresult[i] = op(lvec[0], rvec[i]);
|
|
} else if (rvec.size() == 1) {
|
|
int size = lvec.size();
|
|
vresult.resize(size);
|
|
for (int i = 0; i < size; ++i)
|
|
vresult[i] = op(lvec[i], rvec[0]);
|
|
} else if (rvec.size() == lvec.size()) {
|
|
int size = rvec.size();
|
|
vresult.resize(size);
|
|
for (int i = 0; i < size; ++i)
|
|
vresult[i] = op(lvec[i], rvec[i]);
|
|
}
|
|
|
|
return vresult;
|
|
}
|
|
|
|
Result total() const {
|
|
Op op;
|
|
return op(l->total(), r->total());
|
|
}
|
|
|
|
virtual size_t size() const {
|
|
int ls = l->size();
|
|
int rs = r->size();
|
|
if (ls == 1)
|
|
return rs;
|
|
else if (rs == 1)
|
|
return ls;
|
|
else {
|
|
assert(ls == rs && "Node vector sizes are not equal");
|
|
return ls;
|
|
}
|
|
}
|
|
/**
|
|
* Return true if any children of node are binned
|
|
*@return True if either child of node is binned.
|
|
*/
|
|
virtual bool binned() const { return (l->binned() || r->binned()); }
|
|
|
|
virtual std::string str() const
|
|
{
|
|
return csprintf("(%s %s %s)", l->str(), OpString<Op>::str(), r->str());
|
|
}
|
|
};
|
|
|
|
template <class Op>
|
|
class SumNode : public Node
|
|
{
|
|
public:
|
|
NodePtr l;
|
|
mutable VResult vresult;
|
|
|
|
public:
|
|
SumNode(NodePtr &p) : l(p), vresult(1) {}
|
|
|
|
const VResult &result() const
|
|
{
|
|
const VResult &lvec = l->result();
|
|
int size = lvec.size();
|
|
assert(size > 0);
|
|
|
|
vresult[0] = 0.0;
|
|
|
|
Op op;
|
|
for (int i = 0; i < size; ++i)
|
|
vresult[0] = op(vresult[0], lvec[i]);
|
|
|
|
return vresult;
|
|
}
|
|
|
|
Result total() const
|
|
{
|
|
const VResult &lvec = l->result();
|
|
int size = lvec.size();
|
|
assert(size > 0);
|
|
|
|
Result vresult = 0.0;
|
|
|
|
Op op;
|
|
for (int i = 0; i < size; ++i)
|
|
vresult = op(vresult, lvec[i]);
|
|
|
|
return vresult;
|
|
}
|
|
|
|
virtual size_t size() const { return 1; }
|
|
/**
|
|
* Return true if child of node is binned.
|
|
*@return True if child of node is binned.
|
|
*/
|
|
virtual bool binned() const { return l->binned(); }
|
|
|
|
virtual std::string str() const
|
|
{
|
|
return csprintf("total(%s)", l->str());
|
|
}
|
|
};
|
|
|
|
|
|
//////////////////////////////////////////////////////////////////////
|
|
//
|
|
// Visible Statistics Types
|
|
//
|
|
//////////////////////////////////////////////////////////////////////
|
|
/**
|
|
* @defgroup VisibleStats "Statistic Types"
|
|
* These are the statistics that are used in the simulator. By default these
|
|
* store counters and don't use binning, but are templatized to accept any type
|
|
* and any Bin class.
|
|
* @{
|
|
*/
|
|
|
|
/**
|
|
* This is an easy way to assign all your stats to be binned or not
|
|
* binned. If the typedef is NoBin, nothing is binned. If it is
|
|
* MainBin, then all stats are binned under that Bin.
|
|
*/
|
|
#if defined(FS_MEASURE)
|
|
typedef MainBin DefaultBin;
|
|
#else
|
|
typedef NoBin DefaultBin;
|
|
#endif
|
|
|
|
/**
|
|
* This is a simple scalar statistic, like a counter.
|
|
* @sa Stat, ScalarBase, StatStor
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class Scalar
|
|
: public Wrap<Scalar<Bin>,
|
|
ScalarBase<StatStor, Bin>,
|
|
ScalarStatData>
|
|
{
|
|
public:
|
|
/** The base implementation. */
|
|
typedef ScalarBase<StatStor, Bin> Base;
|
|
|
|
Scalar()
|
|
{
|
|
setInit();
|
|
}
|
|
|
|
/**
|
|
* Sets the stat equal to the given value. Calls the base implementation
|
|
* of operator=
|
|
* @param v The new value.
|
|
*/
|
|
template <typename U>
|
|
void operator=(const U &v) { Base::operator=(v); }
|
|
};
|
|
|
|
class Value
|
|
: public Wrap<Value,
|
|
ValueBase,
|
|
ScalarStatData>
|
|
{
|
|
public:
|
|
/** The base implementation. */
|
|
typedef ValueBase Base;
|
|
|
|
template <class T>
|
|
Value &scalar(T &value)
|
|
{
|
|
Base::scalar(value);
|
|
return *this;
|
|
}
|
|
|
|
template <class T>
|
|
Value &functor(T &func)
|
|
{
|
|
Base::functor(func);
|
|
return *this;
|
|
}
|
|
};
|
|
|
|
/**
|
|
* A stat that calculates the per cycle average of a value.
|
|
* @sa Stat, ScalarBase, AvgStor
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class Average
|
|
: public Wrap<Average<Bin>,
|
|
ScalarBase<AvgStor, Bin>,
|
|
ScalarStatData>
|
|
{
|
|
public:
|
|
/** The base implementation. */
|
|
typedef ScalarBase<AvgStor, Bin> Base;
|
|
|
|
Average()
|
|
{
|
|
setInit();
|
|
}
|
|
|
|
/**
|
|
* Sets the stat equal to the given value. Calls the base implementation
|
|
* of operator=
|
|
* @param v The new value.
|
|
*/
|
|
template <typename U>
|
|
void operator=(const U &v) { Base::operator=(v); }
|
|
};
|
|
|
|
/**
|
|
* A vector of scalar stats.
|
|
* @sa Stat, VectorBase, StatStor
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class Vector
|
|
: public WrapVec<Vector<Bin>,
|
|
VectorBase<StatStor, Bin>,
|
|
VectorStatData>
|
|
{
|
|
public:
|
|
/** The base implementation. */
|
|
typedef ScalarBase<StatStor, Bin> Base;
|
|
|
|
/**
|
|
* Set this vector to have the given size.
|
|
* @param size The new size.
|
|
* @return A reference to this stat.
|
|
*/
|
|
Vector &init(size_t size) {
|
|
bin.init(size, params);
|
|
setInit();
|
|
|
|
return *this;
|
|
}
|
|
};
|
|
|
|
/**
|
|
* A vector of Average stats.
|
|
* @sa Stat, VectorBase, AvgStor
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class AverageVector
|
|
: public WrapVec<AverageVector<Bin>,
|
|
VectorBase<AvgStor, Bin>,
|
|
VectorStatData>
|
|
{
|
|
public:
|
|
/**
|
|
* Set this vector to have the given size.
|
|
* @param size The new size.
|
|
* @return A reference to this stat.
|
|
*/
|
|
AverageVector &init(size_t size) {
|
|
bin.init(size, params);
|
|
setInit();
|
|
|
|
return *this;
|
|
}
|
|
};
|
|
|
|
/**
|
|
* A 2-Dimensional vecto of scalar stats.
|
|
* @sa Stat, Vector2dBase, StatStor
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class Vector2d
|
|
: public WrapVec2d<Vector2d<Bin>,
|
|
Vector2dBase<StatStor, Bin>,
|
|
Vector2dStatData>
|
|
{
|
|
public:
|
|
Vector2d &init(size_t _x, size_t _y) {
|
|
statData()->x = x = _x;
|
|
statData()->y = y = _y;
|
|
bin.init(x * y, params);
|
|
setInit();
|
|
|
|
return *this;
|
|
}
|
|
};
|
|
|
|
/**
|
|
* A simple distribution stat.
|
|
* @sa Stat, DistBase, DistStor
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class Distribution
|
|
: public Wrap<Distribution<Bin>,
|
|
DistBase<DistStor, Bin>,
|
|
DistStatData>
|
|
{
|
|
public:
|
|
/** Base implementation. */
|
|
typedef DistBase<DistStor, Bin> Base;
|
|
/** The Parameter type. */
|
|
typedef typename DistStor::Params Params;
|
|
|
|
public:
|
|
/**
|
|
* Set the parameters of this distribution. @sa DistStor::Params
|
|
* @param min The minimum value of the distribution.
|
|
* @param max The maximum value of the distribution.
|
|
* @param bkt The number of values in each bucket.
|
|
* @return A reference to this distribution.
|
|
*/
|
|
Distribution &init(Counter min, Counter max, Counter bkt) {
|
|
params.min = min;
|
|
params.max = max;
|
|
params.bucket_size = bkt;
|
|
params.size = (int)rint((max - min) / bkt + 1.0);
|
|
bin.init(params);
|
|
setInit();
|
|
|
|
return *this;
|
|
}
|
|
};
|
|
|
|
/**
|
|
* Calculates the mean and variance of all the samples.
|
|
* @sa Stat, DistBase, FancyStor
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class StandardDeviation
|
|
: public Wrap<StandardDeviation<Bin>,
|
|
DistBase<FancyStor, Bin>,
|
|
DistStatData>
|
|
{
|
|
public:
|
|
/** The base implementation */
|
|
typedef DistBase<DistStor, Bin> Base;
|
|
/** The parameter type. */
|
|
typedef typename DistStor::Params Params;
|
|
|
|
public:
|
|
/**
|
|
* Construct and initialize this distribution.
|
|
*/
|
|
StandardDeviation() {
|
|
bin.init(params);
|
|
setInit();
|
|
}
|
|
};
|
|
|
|
/**
|
|
* Calculates the per cycle mean and variance of the samples.
|
|
* @sa Stat, DistBase, AvgFancy
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class AverageDeviation
|
|
: public Wrap<AverageDeviation<Bin>,
|
|
DistBase<AvgFancy, Bin>,
|
|
DistStatData>
|
|
{
|
|
public:
|
|
/** The base implementation */
|
|
typedef DistBase<DistStor, Bin> Base;
|
|
/** The parameter type. */
|
|
typedef typename DistStor::Params Params;
|
|
|
|
public:
|
|
/**
|
|
* Construct and initialize this distribution.
|
|
*/
|
|
AverageDeviation()
|
|
{
|
|
bin.init(params);
|
|
setInit();
|
|
}
|
|
};
|
|
|
|
/**
|
|
* A vector of distributions.
|
|
* @sa Stat, VectorDistBase, DistStor
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class VectorDistribution
|
|
: public WrapVec<VectorDistribution<Bin>,
|
|
VectorDistBase<DistStor, Bin>,
|
|
VectorDistStatData>
|
|
{
|
|
public:
|
|
/** The base implementation */
|
|
typedef VectorDistBase<DistStor, Bin> Base;
|
|
/** The parameter type. */
|
|
typedef typename DistStor::Params Params;
|
|
|
|
public:
|
|
/**
|
|
* Initialize storage and parameters for this distribution.
|
|
* @param size The size of the vector (the number of distributions).
|
|
* @param min The minimum value of the distribution.
|
|
* @param max The maximum value of the distribution.
|
|
* @param bkt The number of values in each bucket.
|
|
* @return A reference to this distribution.
|
|
*/
|
|
VectorDistribution &init(int size, Counter min, Counter max, Counter bkt) {
|
|
params.min = min;
|
|
params.max = max;
|
|
params.bucket_size = bkt;
|
|
params.size = (int)rint((max - min) / bkt + 1.0);
|
|
bin.init(size, params);
|
|
setInit();
|
|
|
|
return *this;
|
|
}
|
|
};
|
|
|
|
/**
|
|
* This is a vector of StandardDeviation stats.
|
|
* @sa Stat, VectorDistBase, FancyStor
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class VectorStandardDeviation
|
|
: public WrapVec<VectorStandardDeviation<Bin>,
|
|
VectorDistBase<FancyStor, Bin>,
|
|
VectorDistStatData>
|
|
{
|
|
public:
|
|
/** The base implementation */
|
|
typedef VectorDistBase<FancyStor, Bin> Base;
|
|
/** The parameter type. */
|
|
typedef typename DistStor::Params Params;
|
|
|
|
public:
|
|
/**
|
|
* Initialize storage for this distribution.
|
|
* @param size The size of the vector.
|
|
* @return A reference to this distribution.
|
|
*/
|
|
VectorStandardDeviation &init(int size) {
|
|
bin.init(size, params);
|
|
setInit();
|
|
|
|
return *this;
|
|
}
|
|
};
|
|
|
|
/**
|
|
* This is a vector of AverageDeviation stats.
|
|
* @sa Stat, VectorDistBase, AvgFancy
|
|
*/
|
|
template <class Bin = DefaultBin>
|
|
class VectorAverageDeviation
|
|
: public WrapVec<VectorAverageDeviation<Bin>,
|
|
VectorDistBase<AvgFancy, Bin>,
|
|
VectorDistStatData>
|
|
{
|
|
public:
|
|
/** The base implementation */
|
|
typedef VectorDistBase<AvgFancy, Bin> Base;
|
|
/** The parameter type. */
|
|
typedef typename DistStor::Params Params;
|
|
|
|
public:
|
|
/**
|
|
* Initialize storage for this distribution.
|
|
* @param size The size of the vector.
|
|
* @return A reference to this distribution.
|
|
*/
|
|
VectorAverageDeviation &init(int size) {
|
|
bin.init(size, params);
|
|
setInit();
|
|
|
|
return *this;
|
|
}
|
|
};
|
|
|
|
/**
|
|
* A formula for statistics that is calculated when printed. A formula is
|
|
* stored as a tree of Nodes that represent the equation to calculate.
|
|
* @sa Stat, ScalarStat, VectorStat, Node, Temp
|
|
*/
|
|
class FormulaBase : public DataAccess
|
|
{
|
|
protected:
|
|
/** The root of the tree which represents the Formula */
|
|
NodePtr root;
|
|
friend class Temp;
|
|
|
|
public:
|
|
/**
|
|
* Return the result of the Fomula in a vector. If there were no Vector
|
|
* components to the Formula, then the vector is size 1. If there were,
|
|
* like x/y with x being a vector of size 3, then the result returned will
|
|
* be x[0]/y, x[1]/y, x[2]/y, respectively.
|
|
* @return The result vector.
|
|
*/
|
|
void result(VResult &vec) const;
|
|
|
|
/**
|
|
* Return the total Formula result. If there is a Vector
|
|
* component to this Formula, then this is the result of the
|
|
* Formula if the formula is applied after summing all the
|
|
* components of the Vector. For example, if Formula is x/y where
|
|
* x is size 3, then total() will return (x[1]+x[2]+x[3])/y. If
|
|
* there is no Vector component, total() returns the same value as
|
|
* the first entry in the VResult val() returns.
|
|
* @return The total of the result vector.
|
|
*/
|
|
Result total() const;
|
|
|
|
/**
|
|
* Return the number of elements in the tree.
|
|
*/
|
|
size_t size() const;
|
|
|
|
/**
|
|
* Return true if Formula is binned. i.e. any of its children
|
|
* nodes are binned
|
|
* @return True if Formula is binned.
|
|
*/
|
|
bool binned() const;
|
|
|
|
bool check() const { return true; }
|
|
|
|
/**
|
|
* Formulas don't need to be reset
|
|
*/
|
|
void reset();
|
|
|
|
/**
|
|
*
|
|
*/
|
|
bool zero() const;
|
|
|
|
/**
|
|
*
|
|
*/
|
|
void update(StatData *);
|
|
|
|
std::string str() const;
|
|
};
|
|
|
|
class FormulaData : public VectorData
|
|
{
|
|
public:
|
|
virtual std::string str() const = 0;
|
|
virtual bool check() const { return true; }
|
|
};
|
|
|
|
template <class Stat>
|
|
class FormulaStatData : public FormulaData
|
|
{
|
|
protected:
|
|
Stat &s;
|
|
mutable VResult vec;
|
|
mutable VCounter cvec;
|
|
|
|
public:
|
|
FormulaStatData(Stat &stat) : s(stat) {}
|
|
|
|
virtual bool binned() const { return s.binned(); }
|
|
virtual bool zero() const { return s.zero(); }
|
|
virtual void reset() { s.reset(); }
|
|
|
|
virtual size_t size() const { return s.size(); }
|
|
virtual const VResult &result() const
|
|
{
|
|
s.result(vec);
|
|
return vec;
|
|
}
|
|
virtual Result total() const { return s.total(); }
|
|
virtual VCounter &value() const { return cvec; }
|
|
virtual void visit(Visit &visitor)
|
|
{
|
|
update();
|
|
s.update(this);
|
|
visitor.visit(*this);
|
|
}
|
|
virtual std::string str() const { return s.str(); }
|
|
};
|
|
|
|
class Temp;
|
|
class Formula
|
|
: public WrapVec<Formula,
|
|
FormulaBase,
|
|
FormulaStatData>
|
|
{
|
|
public:
|
|
/**
|
|
* Create and initialize thie formula, and register it with the database.
|
|
*/
|
|
Formula();
|
|
|
|
/**
|
|
* Create a formula with the given root node, register it with the
|
|
* database.
|
|
* @param r The root of the expression tree.
|
|
*/
|
|
Formula(Temp r);
|
|
|
|
/**
|
|
* Set an unitialized Formula to the given root.
|
|
* @param r The root of the expression tree.
|
|
* @return a reference to this formula.
|
|
*/
|
|
const Formula &operator=(Temp r);
|
|
|
|
/**
|
|
* Add the given tree to the existing one.
|
|
* @param r The root of the expression tree.
|
|
* @return a reference to this formula.
|
|
*/
|
|
const Formula &operator+=(Temp r);
|
|
};
|
|
|
|
class FormulaNode : public Node
|
|
{
|
|
private:
|
|
const Formula &formula;
|
|
mutable VResult vec;
|
|
|
|
public:
|
|
FormulaNode(const Formula &f) : formula(f) {}
|
|
|
|
virtual size_t size() const { return formula.size(); }
|
|
virtual const VResult &result() const { formula.result(vec); return vec; }
|
|
virtual Result total() const { return formula.total(); }
|
|
virtual bool binned() const { return formula.binned(); }
|
|
|
|
virtual std::string str() const { return formula.str(); }
|
|
};
|
|
|
|
/**
|
|
* Helper class to construct formula node trees.
|
|
*/
|
|
class Temp
|
|
{
|
|
protected:
|
|
/**
|
|
* Pointer to a Node object.
|
|
*/
|
|
NodePtr node;
|
|
|
|
public:
|
|
/**
|
|
* Copy the given pointer to this class.
|
|
* @param n A pointer to a Node object to copy.
|
|
*/
|
|
Temp(NodePtr n) : node(n) { }
|
|
|
|
/**
|
|
* Return the node pointer.
|
|
* @return the node pointer.
|
|
*/
|
|
operator NodePtr&() { return node;}
|
|
|
|
public:
|
|
/**
|
|
* Create a new ScalarStatNode.
|
|
* @param s The ScalarStat to place in a node.
|
|
*/
|
|
template <class Bin>
|
|
Temp(const Scalar<Bin> &s)
|
|
: node(new ScalarStatNode(s.statData())) { }
|
|
|
|
/**
|
|
* Create a new ScalarStatNode.
|
|
* @param s The ScalarStat to place in a node.
|
|
*/
|
|
Temp(const Value &s)
|
|
: node(new ScalarStatNode(s.statData())) { }
|
|
|
|
/**
|
|
* Create a new ScalarStatNode.
|
|
* @param s The ScalarStat to place in a node.
|
|
*/
|
|
template <class Bin>
|
|
Temp(const Average<Bin> &s)
|
|
: node(new ScalarStatNode(s.statData())) { }
|
|
|
|
/**
|
|
* Create a new VectorStatNode.
|
|
* @param s The VectorStat to place in a node.
|
|
*/
|
|
template <class Bin>
|
|
Temp(const Vector<Bin> &s)
|
|
: node(new VectorStatNode(s.statData())) { }
|
|
|
|
/**
|
|
*
|
|
*/
|
|
Temp(const Formula &f)
|
|
: node(new FormulaNode(f)) { }
|
|
|
|
/**
|
|
* Create a new ScalarProxyNode.
|
|
* @param p The ScalarProxy to place in a node.
|
|
*/
|
|
template <class Storage, class Bin>
|
|
Temp(const ScalarProxy<Storage, Bin> &p)
|
|
: node(new ScalarProxyNode<Storage, Bin>(p)) { }
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(signed char value)
|
|
: node(new ConstNode<signed char>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(unsigned char value)
|
|
: node(new ConstNode<unsigned char>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(signed short value)
|
|
: node(new ConstNode<signed short>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(unsigned short value)
|
|
: node(new ConstNode<unsigned short>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(signed int value)
|
|
: node(new ConstNode<signed int>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(unsigned int value)
|
|
: node(new ConstNode<unsigned int>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(signed long value)
|
|
: node(new ConstNode<signed long>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(unsigned long value)
|
|
: node(new ConstNode<unsigned long>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(signed long long value)
|
|
: node(new ConstNode<signed long long>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(unsigned long long value)
|
|
: node(new ConstNode<unsigned long long>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(float value)
|
|
: node(new ConstNode<float>(value)) {}
|
|
|
|
/**
|
|
* Create a ConstNode
|
|
* @param value The value of the const node.
|
|
*/
|
|
Temp(double value)
|
|
: node(new ConstNode<double>(value)) {}
|
|
};
|
|
|
|
|
|
/**
|
|
* @}
|
|
*/
|
|
|
|
void check();
|
|
void reset();
|
|
void registerResetCallback(Callback *cb);
|
|
|
|
inline Temp
|
|
operator+(Temp l, Temp r)
|
|
{
|
|
return NodePtr(new BinaryNode<std::plus<Result> >(l, r));
|
|
}
|
|
|
|
inline Temp
|
|
operator-(Temp l, Temp r)
|
|
{
|
|
return NodePtr(new BinaryNode<std::minus<Result> >(l, r));
|
|
}
|
|
|
|
inline Temp
|
|
operator*(Temp l, Temp r)
|
|
{
|
|
return NodePtr(new BinaryNode<std::multiplies<Result> >(l, r));
|
|
}
|
|
|
|
inline Temp
|
|
operator/(Temp l, Temp r)
|
|
{
|
|
return NodePtr(new BinaryNode<std::divides<Result> >(l, r));
|
|
}
|
|
|
|
inline Temp
|
|
operator%(Temp l, Temp r)
|
|
{
|
|
return NodePtr(new BinaryNode<std::modulus<Result> >(l, r));
|
|
}
|
|
|
|
inline Temp
|
|
operator-(Temp l)
|
|
{
|
|
return NodePtr(new UnaryNode<std::negate<Result> >(l));
|
|
}
|
|
|
|
template <typename T>
|
|
inline Temp
|
|
constant(T val)
|
|
{
|
|
return NodePtr(new ConstNode<T>(val));
|
|
}
|
|
|
|
inline Temp
|
|
sum(Temp val)
|
|
{
|
|
return NodePtr(new SumNode<std::plus<Result> >(val));
|
|
}
|
|
|
|
/* namespace Stats */ }
|
|
|
|
#endif // __BASE_STATISTICS_HH__
|