/*
+ * Copyright (c) 2019 Arm Limited
+ * All rights reserved.
+ *
+ * The license below extends only to copyright in the software and shall
+ * not be construed as granting a license to any other intellectual
+ * property including but not limited to intellectual property relating
+ * to a hardware implementation of the functionality of the software
+ * licensed hereunder. You may use the software subject to the license
+ * terms below provided that you ensure that this notice is replicated
+ * unmodified and in its entirety in all distributions of the software,
+ * modified or unmodified, in source code or in binary form.
+ *
* Copyright (c) 2003-2005 The Regents of The University of Michigan
+ * Copyright (c) 2017, Centre National de la Recherche Scientifique
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* Authors: Nathan Binkert
- * Erik Hallnor
+ * Pierre-Yves Peneau
*/
/** @file
#include <cmath>
#include <functional>
#include <iosfwd>
+#include <list>
+#include <map>
+#include <memory>
#include <string>
#include <vector>
+#include "base/stats/group.hh"
+#include "base/stats/info.hh"
+#include "base/stats/output.hh"
+#include "base/stats/types.hh"
+#include "base/cast.hh"
#include "base/cprintf.hh"
#include "base/intmath.hh"
-#include "base/refcnt.hh"
#include "base/str.hh"
-#include "base/stats/flags.hh"
-#include "base/stats/visit.hh"
-#include "base/stats/types.hh"
-#include "sim/host.hh"
+#include "base/types.hh"
class Callback;
-/** The current simulated cycle. */
-extern Tick curTick;
+/** The current simulated tick. */
+extern Tick curTick();
/* A namespace for all of the Statistics */
namespace Stats {
-/* Contains the statistic implementation details */
-//////////////////////////////////////////////////////////////////////
-//
-// Statistics Framework Base classes
-//
-//////////////////////////////////////////////////////////////////////
-struct StatData
-{
- /** The name of the stat. */
- std::string name;
- /** The description of the stat. */
- std::string desc;
- /** The formatting flags. */
- StatFlags flags;
- /** The display precision. */
- int precision;
- /** A pointer to a prerequisite Stat. */
- const StatData *prereq;
- /**
- * A unique stat ID for each stat in the simulator.
- * Can be used externally for lookups as well as for debugging.
- */
- int id;
-
- StatData();
- virtual ~StatData();
-
- /**
- * Reset the corresponding stat to the default state.
- */
- virtual void reset() = 0;
-
- /**
- * @return true if this stat has a value and satisfies its
- * requirement as a prereq
- */
- virtual bool zero() const = 0;
-
- /**
- * Check that this stat has been set up properly and is ready for
- * use
- * @return true for success
- */
- virtual bool check() const = 0;
- bool baseCheck() const;
-
- /**
- * Visitor entry for outputing statistics data
- */
- virtual void visit(Visit &visitor) = 0;
-
- /**
- * Checks if the first stat's name is alphabetically less than the second.
- * This function breaks names up at periods and considers each subname
- * separately.
- * @param stat1 The first stat.
- * @param stat2 The second stat.
- * @return stat1's name is alphabetically before stat2's
- */
- static bool less(StatData *stat1, StatData *stat2);
-};
-
-class ScalarData : public StatData
-{
- public:
- virtual Counter value() const = 0;
- virtual Result result() const = 0;
- virtual Result total() const = 0;
- virtual void visit(Visit &visitor) { visitor.visit(*this); }
-};
-
-template <class Stat>
-class ScalarStatData : public ScalarData
+template <class Stat, class Base>
+class InfoProxy : public Base
{
protected:
Stat &s;
public:
- ScalarStatData(Stat &stat) : s(stat) {}
+ InfoProxy(Stat &stat) : s(stat) {}
- virtual bool check() const { return s.check(); }
- virtual Counter value() const { return s.value(); }
- virtual Result result() const { return s.result(); }
- virtual Result total() const { return s.total(); }
- virtual void reset() { s.reset(); }
- virtual bool zero() const { return s.zero(); }
+ bool check() const { return s.check(); }
+ void prepare() { s.prepare(); }
+ void reset() { s.reset(); }
+ void
+ visit(Output &visitor)
+ {
+ visitor.visit(*static_cast<Base *>(this));
+ }
+ bool zero() const { return s.zero(); }
};
-struct VectorData : public StatData
+template <class Stat>
+class ScalarInfoProxy : public InfoProxy<Stat, ScalarInfo>
{
- /** Names and descriptions of subfields. */
- mutable std::vector<std::string> subnames;
- mutable std::vector<std::string> subdescs;
-
- virtual size_t size() const = 0;
- virtual const VCounter &value() const = 0;
- virtual const VResult &result() const = 0;
- virtual Result total() const = 0;
- void update()
- {
- if (!subnames.empty()) {
- int s = size();
- if (subnames.size() < s)
- subnames.resize(s);
+ public:
+ ScalarInfoProxy(Stat &stat) : InfoProxy<Stat, ScalarInfo>(stat) {}
- if (subdescs.size() < s)
- subdescs.resize(s);
- }
- }
+ Counter value() const { return this->s.value(); }
+ Result result() const { return this->s.result(); }
+ Result total() const { return this->s.total(); }
};
template <class Stat>
-class VectorStatData : public VectorData
+class VectorInfoProxy : public InfoProxy<Stat, VectorInfo>
{
protected:
- Stat &s;
mutable VCounter cvec;
mutable VResult rvec;
public:
- VectorStatData(Stat &stat) : s(stat) {}
+ VectorInfoProxy(Stat &stat) : InfoProxy<Stat, VectorInfo>(stat) {}
- virtual bool check() const { return s.check(); }
- virtual bool zero() const { return s.zero(); }
- virtual void reset() { s.reset(); }
+ size_type size() const { return this->s.size(); }
- virtual size_t size() const { return s.size(); }
- virtual VCounter &value() const
+ VCounter &
+ value() const
{
- s.value(cvec);
+ this->s.value(cvec);
return cvec;
}
- virtual const VResult &result() const
+
+ const VResult &
+ result() const
{
- s.result(rvec);
+ this->s.result(rvec);
return rvec;
}
- virtual Result total() const { return s.total(); }
- virtual void visit(Visit &visitor)
- {
- update();
- s.update(this);
- visitor.visit(*this);
- }
-};
-
-struct DistDataData
-{
- Counter min_val;
- Counter max_val;
- Counter underflow;
- Counter overflow;
- VCounter cvec;
- Counter sum;
- Counter squares;
- Counter samples;
- Counter min;
- Counter max;
- Counter bucket_size;
- int size;
- bool fancy;
-};
-
-struct DistData : public StatData
-{
- /** Local storage for the entry values, used for printing. */
- DistDataData data;
+ Result total() const { return this->s.total(); }
};
template <class Stat>
-class DistStatData : public DistData
+class DistInfoProxy : public InfoProxy<Stat, DistInfo>
{
- protected:
- Stat &s;
-
public:
- DistStatData(Stat &stat) : s(stat) {}
-
- virtual bool check() const { return s.check(); }
- virtual void reset() { s.reset(); }
- virtual bool zero() const { return s.zero(); }
- virtual void visit(Visit &visitor)
- {
- s.update(this);
- visitor.visit(*this);
- }
+ DistInfoProxy(Stat &stat) : InfoProxy<Stat, DistInfo>(stat) {}
};
-struct VectorDistData : public StatData
+template <class Stat>
+class VectorDistInfoProxy : public InfoProxy<Stat, VectorDistInfo>
{
- std::vector<DistDataData> data;
-
- /** Names and descriptions of subfields. */
- mutable std::vector<std::string> subnames;
- mutable std::vector<std::string> subdescs;
-
- /** Local storage for the entry values, used for printing. */
- mutable VResult rvec;
-
- virtual size_t size() const = 0;
- void update()
- {
- int s = size();
- if (subnames.size() < s)
- subnames.resize(s);
+ public:
+ VectorDistInfoProxy(Stat &stat) : InfoProxy<Stat, VectorDistInfo>(stat) {}
- if (subdescs.size() < s)
- subdescs.resize(s);
- }
+ size_type size() const { return this->s.size(); }
};
template <class Stat>
-class VectorDistStatData : public VectorDistData
+class Vector2dInfoProxy : public InfoProxy<Stat, Vector2dInfo>
{
- protected:
- Stat &s;
-
public:
- VectorDistStatData(Stat &stat) : s(stat) {}
+ Vector2dInfoProxy(Stat &stat) : InfoProxy<Stat, Vector2dInfo>(stat) {}
- virtual bool check() const { return s.check(); }
- virtual void reset() { s.reset(); }
- virtual size_t size() const { return s.size(); }
- virtual bool zero() const { return s.zero(); }
- virtual void visit(Visit &visitor)
- {
- update();
- s.update(this);
- visitor.visit(*this);
- }
+ Result total() const { return this->s.total(); }
};
-struct Vector2dData : public StatData
+struct StorageParams
{
- /** Names and descriptions of subfields. */
- std::vector<std::string> subnames;
- std::vector<std::string> subdescs;
- std::vector<std::string> y_subnames;
-
- /** Local storage for the entry values, used for printing. */
- mutable VCounter cvec;
- mutable int x;
- mutable int y;
-
- void update()
- {
- if (subnames.size() < x)
- subnames.resize(x);
- }
+ virtual ~StorageParams();
};
-template <class Stat>
-class Vector2dStatData : public Vector2dData
+class InfoAccess
{
+ private:
+ Info *_info;
+
protected:
- Stat &s;
+ /** Set up an info class for this statistic */
+ void setInfo(Group *parent, Info *info);
+ /** Save Storage class parameters if any */
+ void setParams(const StorageParams *params);
+ /** Save Storage class parameters if any */
+ void setInit();
- public:
- Vector2dStatData(Stat &stat) : s(stat) {}
+ /** Grab the information class for this statistic */
+ Info *info();
+ /** Grab the information class for this statistic */
+ const Info *info() const;
- virtual bool check() const { return s.check(); }
- virtual void reset() { s.reset(); }
- virtual bool zero() const { return s.zero(); }
- virtual void visit(Visit &visitor)
- {
- update();
- s.update(this);
- visitor.visit(*this);
- }
-};
+ public:
+ InfoAccess()
+ : _info(nullptr) {};
-class DataAccess
-{
- protected:
- StatData *find() const;
- void map(StatData *data);
+ /**
+ * Reset the stat to the default state.
+ */
+ void reset() { }
- StatData *statData();
- const StatData *statData() const;
+ /**
+ * @return true if this stat has a value and satisfies its
+ * requirement as a prereq
+ */
+ bool zero() const { return true; }
- void setInit();
- void setPrint();
+ /**
+ * Check that this stat has been set up properly and is ready for
+ * use
+ * @return true for success
+ */
+ bool check() const { return true; }
};
-template <class Parent, class Child, template <class> class Data>
-class Wrap : public Child
+template <class Derived, template <class> class InfoProxyType>
+class DataWrap : public InfoAccess
{
+ public:
+ typedef InfoProxyType<Derived> Info;
+
protected:
- Parent &self() { return *reinterpret_cast<Parent *>(this); }
+ Derived &self() { return *static_cast<Derived *>(this); }
protected:
- Data<Child> *statData()
+ Info *
+ info()
{
- StatData *__data = DataAccess::statData();
- Data<Child> *ptr = dynamic_cast<Data<Child> *>(__data);
- assert(ptr);
- return ptr;
+ return safe_cast<Info *>(InfoAccess::info());
}
public:
- const Data<Child> *statData() const
+ const Info *
+ info() const
{
- const StatData *__data = DataAccess::statData();
- const Data<Child> *ptr = dynamic_cast<const Data<Child> *>(__data);
- assert(ptr);
- return ptr;
+ return safe_cast<const Info *>(InfoAccess::info());
}
- protected:
- /**
- * Copy constructor, copies are not allowed.
- */
- Wrap(const Wrap &stat);
- /**
- * Can't copy stats.
- */
- void operator=(const Wrap &);
-
public:
- Wrap()
+ DataWrap() = delete;
+ DataWrap(const DataWrap &) = delete;
+ DataWrap &operator=(const DataWrap &) = delete;
+
+
+ DataWrap(Group *parent, const char *name, const char *desc)
{
- map(new Data<Child>(*this));
+ auto info = new Info(self());
+ this->setInfo(parent, info);
+
+ if (parent)
+ parent->addStat(info);
+
+ if (name) {
+ info->setName(name);
+ info->flags.set(display);
+ }
+
+ if (desc)
+ info->desc = desc;
}
/**
* @param name The new name.
* @return A reference to this stat.
*/
- Parent &name(const std::string &_name)
+ Derived &
+ name(const std::string &name)
{
- Data<Child> *data = this->statData();
- data->name = _name;
- this->setPrint();
+ Info *info = this->info();
+ info->setName(name);
+ info->flags.set(display);
return this->self();
}
+ const std::string &name() const { return this->info()->name; }
+
+ /**
+ * Set the character(s) used between the name and vector number
+ * on vectors, dist, etc.
+ * @param _sep The new separator string
+ * @return A reference to this stat.
+ */
+ Derived &
+ setSeparator(const std::string &_sep)
+ {
+ this->info()->setSeparator(_sep);
+ return this->self();
+ }
+ const std::string &setSeparator() const
+ {
+ return this->info()->separatorString;
+ }
/**
* Set the description and marks this stat to print at the end of
* @param desc The new description.
* @return A reference to this stat.
*/
- Parent &desc(const std::string &_desc)
+ Derived &
+ desc(const std::string &_desc)
{
- this->statData()->desc = _desc;
+ this->info()->desc = _desc;
return this->self();
}
/**
* Set the precision and marks this stat to print at the end of simulation.
- * @param p The new precision
+ * @param _precision The new precision
* @return A reference to this stat.
*/
- Parent &precision(int _precision)
+ Derived &
+ precision(int _precision)
{
- this->statData()->precision = _precision;
+ this->info()->precision = _precision;
return this->self();
}
* @param f The new flags.
* @return A reference to this stat.
*/
- Parent &flags(StatFlags _flags)
+ Derived &
+ flags(Flags _flags)
{
- this->statData()->flags |= _flags;
+ this->info()->flags.set(_flags);
return this->self();
}
* @return A reference to this stat.
*/
template <class Stat>
- Parent &prereq(const Stat &prereq)
+ Derived &
+ prereq(const Stat &prereq)
{
- this->statData()->prereq = prereq.statData();
+ this->info()->prereq = prereq.info();
return this->self();
}
};
-template <class Parent, class Child, template <class Child> class Data>
-class WrapVec : public Wrap<Parent, Child, Data>
+template <class Derived, template <class> class InfoProxyType>
+class DataWrapVec : public DataWrap<Derived, InfoProxyType>
{
public:
+ typedef InfoProxyType<Derived> Info;
+
+ DataWrapVec(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : DataWrap<Derived, InfoProxyType>(parent, name, desc)
+ {}
+
// The following functions are specific to vectors. If you use them
// in a non vector context, you will get a nice compiler error!
* @param name The new name of the subfield.
* @return A reference to this stat.
*/
- Parent &subname(int index, const std::string &name)
+ Derived &
+ subname(off_type index, const std::string &name)
{
- std::vector<std::string> &subn = this->statData()->subnames;
+ Derived &self = this->self();
+ Info *info = self.info();
+
+ std::vector<std::string> &subn = info->subnames;
if (subn.size() <= index)
subn.resize(index + 1);
subn[index] = name;
- return this->self();
+ return self;
}
+ // The following functions are specific to 2d vectors. If you use
+ // them in a non vector context, you will get a nice compiler
+ // error because info doesn't have the right variables.
+
/**
* Set the subfield description for the given index and marks this stat to
* print at the end of simulation.
* @param desc The new description of the subfield
* @return A reference to this stat.
*/
- Parent &subdesc(int index, const std::string &desc)
+ Derived &
+ subdesc(off_type index, const std::string &desc)
{
- std::vector<std::string> &subd = this->statData()->subdescs;
+ Info *info = this->info();
+
+ std::vector<std::string> &subd = info->subdescs;
if (subd.size() <= index)
subd.resize(index + 1);
subd[index] = desc;
return this->self();
}
+ void
+ prepare()
+ {
+ Derived &self = this->self();
+ Info *info = this->info();
+
+ size_t size = self.size();
+ for (off_type i = 0; i < size; ++i)
+ self.data(i)->prepare(info);
+ }
+
+ void
+ reset()
+ {
+ Derived &self = this->self();
+ Info *info = this->info();
+
+ size_t size = self.size();
+ for (off_type i = 0; i < size; ++i)
+ self.data(i)->reset(info);
+ }
};
-template <class Parent, class Child, template <class Child> class Data>
-class WrapVec2d : public WrapVec<Parent, Child, Data>
+template <class Derived, template <class> class InfoProxyType>
+class DataWrapVec2d : public DataWrapVec<Derived, InfoProxyType>
{
public:
+ typedef InfoProxyType<Derived> Info;
+
+ DataWrapVec2d(Group *parent, const char *name, const char *desc)
+ : DataWrapVec<Derived, InfoProxyType>(parent, name, desc)
+ {
+ }
+
/**
* @warning This makes the assumption that if you're gonna subnames a 2d
* vector, you're subnaming across all y
*/
- Parent &ysubnames(const char **names)
+ Derived &
+ ysubnames(const char **names)
{
- Data<Child> *data = this->statData();
- data->y_subnames.resize(this->y);
- for (int i = 0; i < this->y; ++i)
- data->y_subnames[i] = names[i];
- return this->self();
+ Derived &self = this->self();
+ Info *info = this->info();
+
+ info->y_subnames.resize(self.y);
+ for (off_type i = 0; i < self.y; ++i)
+ info->y_subnames[i] = names[i];
+ return self;
+ }
+
+ Derived &
+ ysubname(off_type index, const std::string &subname)
+ {
+ Derived &self = this->self();
+ Info *info = this->info();
+
+ assert(index < self.y);
+ info->y_subnames.resize(self.y);
+ info->y_subnames[index] = subname.c_str();
+ return self;
}
- Parent &ysubname(int index, const std::string subname)
+
+ std::string
+ ysubname(off_type i) const
{
- Data<Child> *data = this->statData();
- assert(index < this->y);
- data->y_subnames.resize(this->y);
- data->y_subnames[index] = subname.c_str();
- return this->self();
+ return this->info()->y_subnames[i];
}
+
};
//////////////////////////////////////////////////////////////////////
/**
* Templatized storage and interface for a simple scalar stat.
*/
-struct StatStor
+class StatStor
{
- public:
- /** The paramaters for this storage type, none for a scalar. */
- struct Params { };
-
private:
/** The statistic value. */
Counter data;
+ public:
+ struct Params : public StorageParams {};
+
public:
/**
* Builds this storage element and calls the base constructor of the
* datatype.
*/
- StatStor(const Params &) : data(Counter()) {}
+ StatStor(Info *info)
+ : data(Counter())
+ { }
/**
* The the stat to the given value.
* @param val The new value.
- * @param p The paramters of this storage type.
*/
- void set(Counter val, const Params &p) { data = val; }
+ void set(Counter val) { data = val; }
/**
* Increment the stat by the given value.
* @param val The new value.
- * @param p The paramters of this storage type.
*/
- void inc(Counter val, const Params &p) { data += val; }
+ void inc(Counter val) { data += val; }
/**
* Decrement the stat by the given value.
* @param val The new value.
- * @param p The paramters of this storage type.
*/
- void dec(Counter val, const Params &p) { data -= val; }
+ void dec(Counter val) { data -= val; }
/**
* Return the value of this stat as its base type.
- * @param p The params of this storage type.
* @return The value of this stat.
*/
- Counter value(const Params &p) const { return data; }
+ Counter value() const { return data; }
/**
* 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; }
+ Result result() const { return (Result)data; }
+ /**
+ * Prepare stat data for dumping or serialization
+ */
+ void prepare(Info *info) { }
/**
* Reset stat value to default
*/
- void reset() { data = Counter(); }
+ void reset(Info *info) { data = Counter(); }
/**
* @return true if zero value
};
/**
- * 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
+ * Templatized storage and interface to a per-tick average stat. This keeps
+ * a current count and updates a total (count * ticks) when this count
+ * changes. This allows the quick calculation of a per tick count of the item
* being watched. This is good for keeping track of residencies in structures
* among other things.
*/
-struct AvgStor
+class AvgStor
{
- public:
- /** The paramaters for this storage type */
- struct Params { };
-
private:
/** The current count. */
Counter current;
- /** The total count for all cycles. */
+ /** The tick of the last reset */
+ Tick lastReset;
+ /** The total count for all tick. */
mutable Result total;
- /** The cycle that current last changed. */
+ /** The tick that current last changed. */
mutable Tick last;
+ public:
+ struct Params : public StorageParams {};
+
public:
/**
* Build and initializes this stat storage.
*/
- AvgStor(Params &p) : current(0), total(0), last(0) { }
+ AvgStor(Info *info)
+ : current(0), lastReset(0), total(0), last(0)
+ { }
/**
* 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 += current * (curTick - last);
- last = curTick;
+ void
+ set(Counter val)
+ {
+ total += current * (curTick() - last);
+ last = curTick();
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(current + val, p); }
+ void inc(Counter val) { set(current + val); }
/**
* 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(current - val, p); }
+ void dec(Counter val) { set(current - val); }
/**
* Return the current count.
- * @param p The parameters for this storage.
* @return The current count.
*/
- Counter value(const Params &p) const { return current; }
+ Counter value() const { return current; }
/**
* Return the current average.
- * @param p The parameters for this storage.
* @return The current average.
*/
- Result result(const Params &p) const
+ Result
+ result() const
{
- total += current * (curTick - last);
- last = curTick;
- return (Result)(total + current) / (Result)(curTick + 1);
+ assert(last == curTick());
+ return (Result)(total + current) / (Result)(curTick() - lastReset + 1);
}
/**
- * Reset stat value to default
+ * @return true if zero value
+ */
+ bool zero() const { return total == 0.0; }
+
+ /**
+ * Prepare stat data for dumping or serialization
*/
- void reset()
+ void
+ prepare(Info *info)
{
- total = 0;
- last = curTick;
+ total += current * (curTick() - last);
+ last = curTick();
}
/**
- * @return true if zero value
+ * Reset stat value to default
*/
- bool zero() const { return total == 0.0; }
+ void
+ reset(Info *info)
+ {
+ total = 0.0;
+ last = curTick();
+ lastReset = curTick();
+ }
+
};
/**
* Implementation of a scalar stat. The type of stat is determined by the
* Storage template.
*/
-template <class Stor>
-class ScalarBase : public DataAccess
+template <class Derived, class Stor>
+class ScalarBase : public DataWrap<Derived, ScalarInfoProxy>
{
public:
typedef Stor Storage;
-
- /** Define the params of the storage class. */
- typedef typename Storage::Params Params;
+ typedef typename Stor::Params Params;
protected:
/** The storage of this stat. */
char storage[sizeof(Storage)] __attribute__ ((aligned (8)));
- /** The parameters for this stat. */
- Params params;
-
protected:
/**
* Retrieve the storage.
void
doInit()
{
- new (storage) Storage(params);
- setInit();
+ new (storage) Storage(this->info());
+ this->setInit();
}
public:
* Return the current value of this stat as its base type.
* @return The current value.
*/
- Counter value() const { return data()->value(params); }
+ Counter value() const { return data()->value(); }
public:
- /**
- * Create and initialize this stat, register it with the database.
- */
- ScalarBase()
- { }
+ ScalarBase(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : DataWrap<Derived, ScalarInfoProxy>(parent, name, desc)
+ {
+ this->doInit();
+ }
public:
// Common operators for stats
* Increment the stat by 1. This calls the associated storage object inc
* function.
*/
- void operator++() { data()->inc(1, params); }
+ void operator++() { data()->inc(1); }
/**
* Decrement the stat by 1. This calls the associated storage object dec
* function.
*/
- void operator--() { data()->dec(1, params); }
+ void operator--() { data()->dec(1); }
/** Increment the stat by 1. */
void operator++(int) { ++*this; }
* @param v The new value.
*/
template <typename U>
- void operator=(const U &v) { data()->set(v, params); }
+ void operator=(const U &v) { data()->set(v); }
/**
* Increment the stat by the given value. This calls the associated
* @param v The value to add.
*/
template <typename U>
- void operator+=(const U &v) { data()->inc(v, params); }
+ void operator+=(const U &v) { data()->inc(v); }
/**
* Decrement the stat by the given value. This calls the associated
* @param v The value to substract.
*/
template <typename U>
- void operator-=(const U &v) { data()->dec(v, params); }
+ void operator-=(const U &v) { data()->dec(v); }
/**
* Return the number of elements, always 1 for a scalar.
* @return 1.
*/
- size_t size() const { return 1; }
-
- bool check() const { return true; }
-
- /**
- * Reset stat value to default
- */
- void reset() { data()->reset(); }
+ size_type size() const { return 1; }
- Counter value() { return data()->value(params); }
+ Counter value() { return data()->value(); }
- Result result() { return data()->result(params); }
+ Result result() { return data()->result(); }
Result total() { return result(); }
bool zero() { return result() == 0.0; }
+ void reset() { data()->reset(this->info()); }
+ void prepare() { data()->prepare(this->info()); }
};
-class ProxyData : public ScalarData
+class ProxyInfo : public ScalarInfo
{
public:
- virtual void visit(Visit &visitor) { visitor.visit(*this); }
- 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() { }
+ std::string str() const { return std::to_string(value()); }
+ size_type size() const { return 1; }
+ bool check() const { return true; }
+ void prepare() { }
+ void reset() { }
+ bool zero() const { return value() == 0; }
+
+ void visit(Output &visitor) { visitor.visit(*this); }
};
template <class T>
-class ValueProxy : public ProxyData
+class ValueProxy : public ProxyInfo
{
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; }
+ Counter value() const { return *scalar; }
+ Result result() const { return *scalar; }
+ Result total() const { return *scalar; }
};
template <class T>
-class FunctorProxy : public ProxyData
+class FunctorProxy : public ProxyInfo
{
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)(); }
+ Counter value() const { return (*functor)(); }
+ Result result() const { return (*functor)(); }
+ Result total() const { return (*functor)(); }
+};
+
+/**
+ * A proxy similar to the FunctorProxy, but allows calling a method of a bound
+ * object, instead of a global free-standing function.
+ */
+template <class T, class V>
+class MethodProxy : public ProxyInfo
+{
+ private:
+ T *object;
+ typedef V (T::*MethodPointer) () const;
+ MethodPointer method;
+
+ public:
+ MethodProxy(T *obj, MethodPointer meth) : object(obj), method(meth) {}
+ Counter value() const { return (object->*method)(); }
+ Result result() const { return (object->*method)(); }
+ Result total() const { return (object->*method)(); }
};
-class ValueBase : public DataAccess
+template <class Derived>
+class ValueBase : public DataWrap<Derived, ScalarInfoProxy>
{
private:
- ProxyData *proxy;
+ ProxyInfo *proxy;
public:
- ValueBase() : proxy(NULL) { }
+ ValueBase(Group *parent, const char *name, const char *desc)
+ : DataWrap<Derived, ScalarInfoProxy>(parent, name, desc),
+ proxy(NULL)
+ {
+ }
+
~ValueBase() { if (proxy) delete proxy; }
template <class T>
- void scalar(T &value)
+ Derived &
+ scalar(T &value)
{
proxy = new ValueProxy<T>(value);
- setInit();
+ this->setInit();
+ return this->self();
}
template <class T>
- void functor(T &func)
+ Derived &
+ functor(T &func)
{
proxy = new FunctorProxy<T>(func);
- setInit();
+ this->setInit();
+ return this->self();
+ }
+
+ /**
+ * Extended functor that calls the specified method of the provided object.
+ *
+ * @param obj Pointer to the object whose method should be called.
+ * @param method Pointer of the function / method of the object.
+ * @return Updated stats item.
+ */
+ template <class T, class V>
+ Derived &
+ method(T *obj, V (T::*method)() const)
+ {
+ proxy = new MethodProxy<T,V>(obj, method);
+ this->setInit();
+ return this->self();
}
Counter value() { return proxy->value(); }
Result result() const { return proxy->result(); }
Result total() const { return proxy->total(); };
- size_t size() const { return proxy->size(); }
+ size_type size() const { return proxy->size(); }
std::string str() const { return proxy->str(); }
bool zero() const { return proxy->zero(); }
bool check() const { return proxy != NULL; }
+ void prepare() { }
void reset() { }
};
{
private:
/** Pointer to the parent Vector. */
- Stat *stat;
+ Stat &stat;
/** The index to access in the parent VectorBase. */
- int index;
+ off_type index;
public:
/**
* Return the current value of this stat as its base type.
* @return The current value.
*/
- Counter value() const { return stat->data(index)->value(stat->params); }
+ Counter value() const { return stat.data(index)->value(); }
/**
* Return the current value of this statas a result type.
* @return The current value.
*/
- Result result() const { return stat->data(index)->result(stat->params); }
+ Result result() const { return stat.data(index)->result(); }
public:
/**
* Create and initialize this proxy, do not register it with the database.
- * @param p The params to use.
* @param i The index to access.
*/
- ScalarProxy(Stat *s, int i)
+ ScalarProxy(Stat &s, off_type i)
: stat(s), index(i)
{
- assert(stat);
}
/**
* @param sp The proxy to copy.
* @return A reference to this proxy.
*/
- const ScalarProxy &operator=(const ScalarProxy &sp) {
+ const ScalarProxy &
+ operator=(const ScalarProxy &sp)
+ {
stat = sp.stat;
index = sp.index;
return *this;
* Increment the stat by 1. This calls the associated storage object inc
* function.
*/
- void operator++() { stat->data(index)->inc(1, stat->params); }
+ void operator++() { stat.data(index)->inc(1); }
/**
* Decrement the stat by 1. This calls the associated storage object dec
* function.
*/
- void operator--() { stat->data(index)->dec(1, stat->params); }
+ void operator--() { stat.data(index)->dec(1); }
/** Increment the stat by 1. */
void operator++(int) { ++*this; }
* @param v The new value.
*/
template <typename U>
- void operator=(const U &v) { stat->data(index)->set(v, stat->params); }
+ void
+ operator=(const U &v)
+ {
+ stat.data(index)->set(v);
+ }
/**
* Increment the stat by the given value. This calls the associated
* @param v The value to add.
*/
template <typename U>
- void operator+=(const U &v) { stat->data(index)->inc(v, stat->params); }
+ void
+ operator+=(const U &v)
+ {
+ stat.data(index)->inc(v);
+ }
/**
* Decrement the stat by the given value. This calls the associated
* @param v The value to substract.
*/
template <typename U>
- void operator-=(const U &v) { stat->data(index)->dec(v, stat->params); }
+ void
+ operator-=(const U &v)
+ {
+ stat.data(index)->dec(v);
+ }
/**
* Return the number of elements, always 1 for a scalar.
* @return 1.
*/
- size_t size() const { return 1; }
-
- /**
- * This stat has no state. Nothing to reset
- */
- void reset() { }
+ size_type size() const { return 1; }
public:
std::string
str() const
{
- return csprintf("%s[%d]", stat->str(), index);
-
+ return csprintf("%s[%d]", stat.info()->name, index);
}
};
* Implementation of a vector of stats. The type of stat is determined by the
* Storage class. @sa ScalarBase
*/
-template <class Stor>
-class VectorBase : public DataAccess
+template <class Derived, class Stor>
+class VectorBase : public DataWrapVec<Derived, VectorInfoProxy>
{
public:
typedef Stor Storage;
-
- /** Define the params of the storage class. */
- typedef typename Storage::Params Params;
+ typedef typename Stor::Params Params;
/** Proxy type */
- typedef ScalarProxy<VectorBase<Storage> > Proxy;
-
- friend class ScalarProxy<VectorBase<Storage> >;
+ typedef ScalarProxy<Derived> Proxy;
+ friend class ScalarProxy<Derived>;
+ friend class DataWrapVec<Derived, VectorInfoProxy>;
protected:
/** The storage of this stat. */
Storage *storage;
- size_t _size;
-
- /** The parameters for this stat. */
- Params params;
+ size_type _size;
protected:
/**
* @param index The vector index to access.
* @return The storage object at the given index.
*/
- Storage *data(int index) { return &storage[index]; }
+ Storage *data(off_type index) { return &storage[index]; }
/**
* Retrieve a const pointer to the storage.
* @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 { return &storage[index]; }
+ const Storage *data(off_type index) const { return &storage[index]; }
void
- doInit(int s)
+ doInit(size_type s)
{
assert(s > 0 && "size must be positive!");
assert(!storage && "already initialized");
char *ptr = new char[_size * sizeof(Storage)];
storage = reinterpret_cast<Storage *>(ptr);
- for (int i = 0; i < _size; ++i)
- new (&storage[i]) Storage(params);
+ for (off_type i = 0; i < _size; ++i)
+ new (&storage[i]) Storage(this->info());
- setInit();
+ this->setInit();
}
public:
- void value(VCounter &vec) const
+ void
+ value(VCounter &vec) const
{
vec.resize(size());
- for (int i = 0; i < size(); ++i)
- vec[i] = data(i)->value(params);
+ for (off_type i = 0; i < size(); ++i)
+ vec[i] = data(i)->value();
}
/**
* 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
+ void
+ result(VResult &vec) const
{
vec.resize(size());
- for (int i = 0; i < size(); ++i)
- vec[i] = data(i)->result(params);
+ for (off_type i = 0; i < size(); ++i)
+ vec[i] = data(i)->result();
}
/**
* Return a total of all entries in this vector.
* @return The total of all vector entries.
*/
- Result total() const {
+ Result
+ total() const
+ {
Result total = 0.0;
- for (int i = 0; i < size(); ++i)
- total += data(i)->result(params);
+ for (off_type i = 0; i < size(); ++i)
+ total += data(i)->result();
return total;
}
/**
* @return the number of elements in this vector.
*/
- size_t size() const { return _size; }
+ size_type size() const { return _size; }
bool
zero() const
{
- for (int i = 0; i < size(); ++i)
+ for (off_type i = 0; i < size(); ++i)
if (data(i)->zero())
return false;
return true;
return storage != NULL;
}
- void
- reset()
- {
- for (int i = 0; i < size(); ++i)
- data(i)->reset();
- }
-
public:
- VectorBase()
- : storage(NULL)
+ VectorBase(Group *parent, const char *name, const char *desc)
+ : DataWrapVec<Derived, VectorInfoProxy>(parent, name, desc),
+ storage(nullptr), _size(0)
{}
~VectorBase()
if (!storage)
return;
- for (int i = 0; i < _size; ++i)
+ for (off_type i = 0; i < _size; ++i)
data(i)->~Storage();
delete [] reinterpret_cast<char *>(storage);
}
+ /**
+ * Set this vector to have the given size.
+ * @param size The new size.
+ * @return A reference to this stat.
+ */
+ Derived &
+ init(size_type size)
+ {
+ Derived &self = this->self();
+ self.doInit(size);
+ return self;
+ }
+
/**
* Return a reference (ScalarProxy) to the stat at the given index.
* @param index The vector index to access.
* @return A reference of the stat.
*/
Proxy
- operator[](int index)
+ operator[](off_type index)
{
assert (index >= 0 && index < size());
- return Proxy(this, index);
+ return Proxy(this->self(), index);
}
-
- void update(StatData *data) {}
};
template <class Stat>
class VectorProxy
{
private:
- Stat *stat;
- int offset;
- int len;
+ Stat &stat;
+ off_type offset;
+ size_type len;
private:
mutable VResult vec;
typename Stat::Storage *
- data(int index)
+ data(off_type index)
{
assert(index < len);
- return stat->data(offset + index);
+ return stat.data(offset + index);
}
const typename Stat::Storage *
- data(int index) const
+ data(off_type index) const
{
assert(index < len);
- return const_cast<Stat *>(stat)->data(offset + index);
+ return stat.data(offset + index);
}
public:
{
vec.resize(size());
- for (int i = 0; i < size(); ++i)
- vec[i] = data(i)->result(stat->params);
+ for (off_type i = 0; i < size(); ++i)
+ vec[i] = data(i)->result();
return vec;
}
Result
total() const
{
- Result total = 0;
- for (int i = 0; i < size(); ++i)
- total += data(i)->result(stat->params);
+ Result total = 0.0;
+ for (off_type i = 0; i < size(); ++i)
+ total += data(i)->result();
return total;
}
public:
- VectorProxy(Stat *s, int o, int l)
+ VectorProxy(Stat &s, off_type o, size_type l)
: stat(s), offset(o), len(l)
{
}
return *this;
}
- ScalarProxy<Stat> operator[](int index)
+ ScalarProxy<Stat>
+ operator[](off_type index)
{
assert (index >= 0 && index < size());
return ScalarProxy<Stat>(stat, offset + index);
}
- size_t size() const { return len; }
-
- /**
- * This stat has no state. Nothing to reset.
- */
- void reset() { }
+ size_type size() const { return len; }
};
-template <class Stor>
-class Vector2dBase : public DataAccess
+template <class Derived, class Stor>
+class Vector2dBase : public DataWrapVec2d<Derived, Vector2dInfoProxy>
{
public:
+ typedef Vector2dInfoProxy<Derived> Info;
typedef Stor Storage;
- typedef typename Storage::Params Params;
- typedef VectorProxy<Vector2dBase<Storage> > Proxy;
- friend class ScalarProxy<Vector2dBase<Storage> >;
- friend class VectorProxy<Vector2dBase<Storage> >;
+ typedef typename Stor::Params Params;
+ typedef VectorProxy<Derived> Proxy;
+ friend class ScalarProxy<Derived>;
+ friend class VectorProxy<Derived>;
+ friend class DataWrapVec<Derived, Vector2dInfoProxy>;
+ friend class DataWrapVec2d<Derived, Vector2dInfoProxy>;
protected:
- size_t x;
- size_t y;
- size_t _size;
+ size_type x;
+ size_type y;
+ size_type _size;
Storage *storage;
- Params params;
protected:
- Storage *data(int index) { return &storage[index]; }
- const Storage *data(int index) const { return &storage[index]; }
+ Storage *data(off_type index) { return &storage[index]; }
+ const Storage *data(off_type index) const { return &storage[index]; }
- void
- doInit(int _x, int _y)
+ public:
+ Vector2dBase(Group *parent, const char *name, const char *desc)
+ : DataWrapVec2d<Derived, Vector2dInfoProxy>(parent, name, desc),
+ x(0), y(0), _size(0), storage(nullptr)
+ {}
+
+ ~Vector2dBase()
+ {
+ if (!storage)
+ return;
+
+ for (off_type i = 0; i < _size; ++i)
+ data(i)->~Storage();
+ delete [] reinterpret_cast<char *>(storage);
+ }
+
+ Derived &
+ init(size_type _x, size_type _y)
{
assert(_x > 0 && _y > 0 && "sizes must be positive!");
assert(!storage && "already initialized");
- Vector2dData *statdata = dynamic_cast<Vector2dData *>(find());
+ Derived &self = this->self();
+ Info *info = this->info();
x = _x;
y = _y;
- statdata->x = _x;
- statdata->y = _y;
+ info->x = _x;
+ info->y = _y;
_size = x * y;
char *ptr = new char[_size * sizeof(Storage)];
storage = reinterpret_cast<Storage *>(ptr);
- for (int i = 0; i < _size; ++i)
- new (&storage[i]) Storage(params);
-
- setInit();
- }
-
- public:
- Vector2dBase()
- : storage(NULL)
- {}
-
- ~Vector2dBase()
- {
- if (!storage)
- return;
+ for (off_type i = 0; i < _size; ++i)
+ new (&storage[i]) Storage(info);
- for (int i = 0; i < _size; ++i)
- data(i)->~Storage();
- delete [] reinterpret_cast<char *>(storage);
- }
+ this->setInit();
- void
- update(Vector2dData *newdata)
- {
- int size = this->size();
- newdata->cvec.resize(size);
- for (int i = 0; i < size; ++i)
- newdata->cvec[i] = data(i)->value(params);
+ return self;
}
- std::string ysubname(int i) const { return (*this->y_subnames)[i]; }
-
Proxy
- operator[](int index)
+ operator[](off_type index)
{
- int offset = index * y;
- assert (index >= 0 && offset + index < size());
- return Proxy(this, offset, y);
+ off_type offset = index * y;
+ assert (index >= 0 && offset + y <= size());
+ return Proxy(this->self(), offset, y);
}
- size_t
+ size_type
size() const
{
return _size;
zero() const
{
return data(0)->zero();
-#if 0
- for (int i = 0; i < size(); ++i)
- if (!data(i)->zero())
- return false;
- return true;
-#endif
+ }
+
+ /**
+ * Return a total of all entries in this vector.
+ * @return The total of all vector entries.
+ */
+ Result
+ total() const
+ {
+ Result total = 0.0;
+ for (off_type i = 0; i < size(); ++i)
+ total += data(i)->result();
+ return total;
+ }
+
+ void
+ prepare()
+ {
+ Info *info = this->info();
+ size_type size = this->size();
+
+ for (off_type i = 0; i < size; ++i)
+ data(i)->prepare(info);
+
+ info->cvec.resize(size);
+ for (off_type i = 0; i < size; ++i)
+ info->cvec[i] = data(i)->value();
}
/**
void
reset()
{
- for (int i = 0; i < size(); ++i)
- data(i)->reset();
+ Info *info = this->info();
+ size_type size = this->size();
+ for (off_type i = 0; i < size; ++i)
+ data(i)->reset(info);
}
bool
- check()
+ check() const
{
return storage != NULL;
}
// Non formula statistics
//
//////////////////////////////////////////////////////////////////////
+/** The parameters for a distribution stat. */
+struct DistParams : public StorageParams
+{
+ const DistType type;
+ DistParams(DistType t) : type(t) {}
+};
/**
- * Templatized storage and interface for a distrbution stat.
+ * Templatized storage and interface for a distribution stat.
*/
-struct DistStor
+class DistStor
{
public:
/** The parameters for a distribution stat. */
- struct Params
+ struct Params : public DistParams
{
/** The minimum value to track. */
Counter min;
/** The number of entries in each bucket. */
Counter bucket_size;
/** The number of buckets. Equal to (max-min)/bucket_size. */
- int size;
+ size_type buckets;
+
+ Params() : DistParams(Dist), min(0), max(0), bucket_size(0),
+ buckets(0) {}
};
- enum { fancy = false };
private:
+ /** The minimum value to track. */
+ Counter min_track;
+ /** The maximum value to track. */
+ Counter max_track;
+ /** The number of entries in each bucket. */
+ Counter bucket_size;
+
/** The smallest value sampled. */
Counter min_val;
/** The largest value sampled. */
VCounter cvec;
public:
- DistStor(const Params ¶ms)
- : cvec(params.size)
+ DistStor(Info *info)
+ : cvec(safe_cast<const Params *>(info->storageParams)->buckets)
{
- reset();
+ reset(info);
}
/**
* 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)
+ void
+ sample(Counter val, int number)
{
- if (val < params.min)
+ if (val < min_track)
underflow += number;
- else if (val > params.max)
+ else if (val > max_track)
overflow += number;
else {
- int index = (int)std::floor((val - params.min) / params.bucket_size);
- assert(index < size(params));
+ size_type index =
+ (size_type)std::floor((val - min_track) / bucket_size);
+ assert(index < size());
cvec[index] += number;
}
if (val > max_val)
max_val = val;
- Counter sample = val * number;
- sum += sample;
- squares += sample * sample;
+ sum += val * number;
+ squares += val * val * number;
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(); }
+ size_type size() 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
+ bool
+ zero() const
{
return samples == Counter();
}
- void update(DistDataData *data, const Params ¶ms)
+ void
+ prepare(Info *info, DistData &data)
{
- data->min = params.min;
- data->max = params.max;
- data->bucket_size = params.bucket_size;
- data->size = params.size;
+ const Params *params = safe_cast<const Params *>(info->storageParams);
+
+ assert(params->type == Dist);
+ data.type = params->type;
+ data.min = params->min;
+ data.max = params->max;
+ data.bucket_size = params->bucket_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.min_val = (min_val == CounterLimits::max()) ? 0 : min_val;
+ data.max_val = (max_val == CounterLimits::min()) ? 0 : max_val;
+ data.underflow = underflow;
+ data.overflow = overflow;
- data->sum = sum;
- data->squares = squares;
- data->samples = samples;
+ data.cvec.resize(params->buckets);
+ for (off_type i = 0; i < params->buckets; ++i)
+ data.cvec[i] = cvec[i];
+
+ data.sum = sum;
+ data.squares = squares;
+ data.samples = samples;
}
/**
* Reset stat value to default
*/
- void reset()
+ void
+ reset(Info *info)
{
- min_val = INT_MAX;
- max_val = INT_MIN;
- underflow = 0;
- overflow = 0;
+ const Params *params = safe_cast<const Params *>(info->storageParams);
+ min_track = params->min;
+ max_track = params->max;
+ bucket_size = params->bucket_size;
- int size = cvec.size();
- for (int i = 0; i < size; ++i)
+ min_val = CounterLimits::max();
+ max_val = CounterLimits::min();
+ underflow = Counter();
+ overflow = Counter();
+
+ size_type size = cvec.size();
+ for (off_type i = 0; i < size; ++i)
cvec[i] = Counter();
sum = Counter();
};
/**
- * Templatized storage and interface for a distribution that calculates mean
- * and variance.
+ * Templatized storage and interface for a histogram stat.
*/
-struct FancyStor
+class HistStor
{
public:
+ /** The parameters for a distribution stat. */
+ struct Params : public DistParams
+ {
+ /** The number of buckets.. */
+ size_type buckets;
+
+ Params() : DistParams(Hist), buckets(0) {}
+ };
+
+ private:
+ /** The minimum value to track. */
+ Counter min_bucket;
+ /** The maximum value to track. */
+ Counter max_bucket;
+ /** The number of entries in each bucket. */
+ Counter bucket_size;
+
+ /** The current sum. */
+ Counter sum;
+ /** The sum of logarithm of each sample, used to compute geometric mean. */
+ Counter logs;
+ /** The sum of squares. */
+ Counter squares;
+ /** The number of samples. */
+ Counter samples;
+ /** Counter for each bucket. */
+ VCounter cvec;
+
+ public:
+ HistStor(Info *info)
+ : cvec(safe_cast<const Params *>(info->storageParams)->buckets)
+ {
+ reset(info);
+ }
+
+ void grow_up();
+ void grow_out();
+ void grow_convert();
+ void add(HistStor *);
+
+ /**
+ * 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.
+ */
+ void
+ sample(Counter val, int number)
+ {
+ assert(min_bucket < max_bucket);
+ if (val < min_bucket) {
+ if (min_bucket == 0)
+ grow_convert();
+
+ while (val < min_bucket)
+ grow_out();
+ } else if (val >= max_bucket + bucket_size) {
+ if (min_bucket == 0) {
+ while (val >= max_bucket + bucket_size)
+ grow_up();
+ } else {
+ while (val >= max_bucket + bucket_size)
+ grow_out();
+ }
+ }
+
+ size_type index =
+ (int64_t)std::floor((val - min_bucket) / bucket_size);
+
+ assert(index < size());
+ cvec[index] += number;
+
+ sum += val * number;
+ squares += val * val * number;
+ logs += log(val) * number;
+ samples += number;
+ }
+
/**
- * No paramters for this storage.
+ * Return the number of buckets in this distribution.
+ * @return the number of buckets.
+ */
+ size_type size() const { return cvec.size(); }
+
+ /**
+ * Returns true if any calls to sample have been made.
+ * @return True if any values have been sampled.
+ */
+ bool
+ zero() const
+ {
+ return samples == Counter();
+ }
+
+ void
+ prepare(Info *info, DistData &data)
+ {
+ const Params *params = safe_cast<const Params *>(info->storageParams);
+
+ assert(params->type == Hist);
+ data.type = params->type;
+ data.min = min_bucket;
+ data.max = max_bucket + bucket_size - 1;
+ data.bucket_size = bucket_size;
+
+ data.min_val = min_bucket;
+ data.max_val = max_bucket;
+
+ int buckets = params->buckets;
+ data.cvec.resize(buckets);
+ for (off_type i = 0; i < buckets; ++i)
+ data.cvec[i] = cvec[i];
+
+ data.sum = sum;
+ data.logs = logs;
+ data.squares = squares;
+ data.samples = samples;
+ }
+
+ /**
+ * Reset stat value to default
*/
- struct Params {};
- enum { fancy = true };
+ void
+ reset(Info *info)
+ {
+ const Params *params = safe_cast<const Params *>(info->storageParams);
+ min_bucket = 0;
+ max_bucket = params->buckets - 1;
+ bucket_size = 1;
+
+ size_type size = cvec.size();
+ for (off_type i = 0; i < size; ++i)
+ cvec[i] = Counter();
+
+ sum = Counter();
+ squares = Counter();
+ samples = Counter();
+ logs = Counter();
+ }
+};
+
+/**
+ * Templatized storage and interface for a distribution that calculates mean
+ * and variance.
+ */
+class SampleStor
+{
+ public:
+ struct Params : public DistParams
+ {
+ Params() : DistParams(Deviation) {}
+ };
private:
/** The current sum. */
/**
* Create and initialize this storage.
*/
- FancyStor(const Params &)
+ SampleStor(Info *info)
: sum(Counter()), squares(Counter()), samples(Counter())
{ }
* 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)
+ void
+ sample(Counter val, int number)
{
Counter value = val * number;
sum += 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; }
+ size_type size() 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(); }
+ bool zero() const { return samples == Counter(); }
+
+ void
+ prepare(Info *info, DistData &data)
+ {
+ const Params *params = safe_cast<const Params *>(info->storageParams);
+
+ assert(params->type == Deviation);
+ data.type = params->type;
+ data.sum = sum;
+ data.squares = squares;
+ data.samples = samples;
+ }
/**
* Reset stat value to default
*/
- void reset()
+ void
+ reset(Info *info)
{
sum = Counter();
squares = Counter();
};
/**
- * Templatized storage for distribution that calculates per cycle mean and
+ * Templatized storage for distribution that calculates per tick mean and
* variance.
*/
-struct AvgFancy
+class AvgSampleStor
{
public:
- /** No parameters for this storage. */
- struct Params {};
- enum { fancy = true };
+ struct Params : public DistParams
+ {
+ Params() : DistParams(Deviation) {}
+ };
private:
/** Current total. */
/**
* Create and initialize this storage.
*/
- AvgFancy(const Params &) : sum(Counter()), squares(Counter()) {}
+ AvgSampleStor(Info *info)
+ : 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)
+ void
+ sample(Counter val, int number)
{
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; }
+ size_type size() 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(); }
+ bool zero() const { return sum == Counter(); }
+
+ void
+ prepare(Info *info, DistData &data)
+ {
+ const Params *params = safe_cast<const Params *>(info->storageParams);
+
+ assert(params->type == Deviation);
+ data.type = params->type;
+ data.sum = sum;
+ data.squares = squares;
+ data.samples = curTick();
+ }
+
/**
* Reset stat value to default
*/
- void reset()
+ void
+ reset(Info *info)
{
sum = Counter();
squares = Counter();
* Implementation of a distribution stat. The type of distribution is
* determined by the Storage template. @sa ScalarBase
*/
-template <class Stor>
-class DistBase : public DataAccess
+template <class Derived, class Stor>
+class DistBase : public DataWrap<Derived, DistInfoProxy>
{
public:
+ typedef DistInfoProxy<Derived> Info;
typedef Stor Storage;
- /** Define the params of the storage class. */
- typedef typename Storage::Params Params;
+ typedef typename Stor::Params Params;
protected:
/** The storage for this stat. */
char storage[sizeof(Storage)] __attribute__ ((aligned (8)));
- /** The parameters for this stat. */
- Params params;
-
protected:
/**
* Retrieve the storage.
* @return The storage object for this stat.
*/
- Storage *data()
+ Storage *
+ data()
{
return reinterpret_cast<Storage *>(storage);
}
void
doInit()
{
- new (storage) Storage(params);
- setInit();
+ new (storage) Storage(this->info());
+ this->setInit();
}
public:
- DistBase() { }
+ DistBase(Group *parent, const char *name, const char *desc)
+ : DataWrap<Derived, DistInfoProxy>(parent, name, desc)
+ {
+ }
/**
* Add a value to the distribtion n times. Calls sample on the storage
* @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); }
+ void sample(const U &v, int n = 1) { data()->sample(v, n); }
/**
* Return the number of entries in this stat.
* @return The number of entries.
*/
- size_t size() const { return data()->size(params); }
+ size_type size() const { return data()->size(); }
/**
* Return true if no samples have been added.
* @return True if there haven't been any samples.
*/
- bool zero() const { return data()->zero(params); }
+ bool zero() const { return data()->zero(); }
- void update(DistData *base)
+ void
+ prepare()
{
- base->data.fancy = Storage::fancy;
- data()->update(&(base->data), params);
+ Info *info = this->info();
+ data()->prepare(info, info->data);
}
/**
void
reset()
{
- data()->reset();
+ data()->reset(this->info());
}
- bool
- check()
- {
- return true;
- }
+ /**
+ * Add the argument distribution to the this distribution.
+ */
+ void add(DistBase &d) { data()->add(d.data()); }
+
};
template <class Stat>
class DistProxy;
-template <class Stor>
-class VectorDistBase : public DataAccess
+template <class Derived, class Stor>
+class VectorDistBase : public DataWrapVec<Derived, VectorDistInfoProxy>
{
public:
+ typedef VectorDistInfoProxy<Derived> Info;
typedef Stor Storage;
- typedef typename Storage::Params Params;
- typedef DistProxy<VectorDistBase<Storage> > Proxy;
- friend class DistProxy<VectorDistBase<Storage> >;
+ typedef typename Stor::Params Params;
+ typedef DistProxy<Derived> Proxy;
+ friend class DistProxy<Derived>;
+ friend class DataWrapVec<Derived, VectorDistInfoProxy>;
protected:
Storage *storage;
- size_t _size;
- Params params;
+ size_type _size;
protected:
Storage *
- data(int index)
+ data(off_type index)
{
return &storage[index];
}
const Storage *
- data(int index) const
+ data(off_type index) const
{
return &storage[index];
}
void
- doInit(int s)
+ doInit(size_type s)
{
assert(s > 0 && "size must be positive!");
assert(!storage && "already initialized");
char *ptr = new char[_size * sizeof(Storage)];
storage = reinterpret_cast<Storage *>(ptr);
- for (int i = 0; i < _size; ++i)
- new (&storage[i]) Storage(params);
+ Info *info = this->info();
+ for (off_type i = 0; i < _size; ++i)
+ new (&storage[i]) Storage(info);
- setInit();
+ this->setInit();
}
public:
- VectorDistBase()
- : storage(NULL)
+ VectorDistBase(Group *parent, const char *name, const char *desc)
+ : DataWrapVec<Derived, VectorDistInfoProxy>(parent, name, desc),
+ storage(NULL)
{}
~VectorDistBase()
if (!storage)
return ;
- for (int i = 0; i < _size; ++i)
+ for (off_type i = 0; i < _size; ++i)
data(i)->~Storage();
delete [] reinterpret_cast<char *>(storage);
}
- Proxy operator[](int index);
+ Proxy operator[](off_type index)
+ {
+ assert(index >= 0 && index < size());
+ return Proxy(this->self(), index);
+ }
- size_t
+ size_type
size() const
{
return _size;
bool
zero() const
{
- return false;
-#if 0
- for (int i = 0; i < size(); ++i)
- if (!data(i)->zero(params))
+ for (off_type i = 0; i < size(); ++i)
+ if (!data(i)->zero())
return false;
return true;
-#endif
}
- /**
- * Reset stat value to default
- */
void
- reset()
+ prepare()
{
- for (int i = 0; i < size(); ++i)
- data(i)->reset();
+ Info *info = this->info();
+ size_type size = this->size();
+ info->data.resize(size);
+ for (off_type i = 0; i < size; ++i)
+ data(i)->prepare(info, info->data[i]);
}
bool
- check()
+ check() const
{
return storage != NULL;
}
-
- 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 Stat>
class DistProxy
{
private:
- Stat *stat;
- int index;
+ Stat &stat;
+ off_type index;
protected:
- typename Stat::Storage *data() { return stat->data(index); }
- const typename Stat::Storage *data() const { return stat->data(index); }
+ typename Stat::Storage *data() { return stat.data(index); }
+ const typename Stat::Storage *data() const { return stat.data(index); }
public:
- DistProxy(Stat *s, int i)
+ DistProxy(Stat &s, off_type i)
: stat(s), index(i)
{}
: stat(sp.stat), index(sp.index)
{}
- const DistProxy &operator=(const DistProxy &sp)
+ const DistProxy &
+ operator=(const DistProxy &sp)
{
stat = sp.stat;
index = sp.index;
void
sample(const U &v, int n = 1)
{
- data()->sample(v, n, stat->params);
+ data()->sample(v, n);
}
- size_t
+ size_type
size() const
{
return 1;
bool
zero() const
{
- return data()->zero(stat->params);
+ return data()->zero();
}
/**
void reset() { }
};
-template <class Storage>
-inline typename VectorDistBase<Storage>::Proxy
-VectorDistBase<Storage>::operator[](int index)
-{
- assert (index >= 0 && index < size());
- return typename VectorDistBase<Storage>::Proxy(this, index);
-}
-
-#if 0
-template <class Storage>
-Result
-VectorDistBase<Storage>::total(int index) const
-{
- int total = 0;
- for (int i = 0; i < x_size(); ++i) {
- total += data(i)->result(stat->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
+class Node
{
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;
+ virtual size_type size() const = 0;
/**
* Return the result vector of this subtree.
* @return The result vector of this subtree.
*
*/
virtual std::string str() const = 0;
+
+ virtual ~Node() {};
};
-/** Reference counting pointer to a function Node. */
-typedef RefCountingPtr<Node> NodePtr;
+/** Shared pointer to a function Node. */
+typedef std::shared_ptr<Node> NodePtr;
class ScalarStatNode : public Node
{
private:
- const ScalarData *data;
+ const ScalarInfo *data;
mutable VResult vresult;
public:
- ScalarStatNode(const ScalarData *d) : data(d), vresult(1) {}
- virtual const VResult &result() const
+ ScalarStatNode(const ScalarInfo *d) : data(d), vresult(1) {}
+
+ const VResult &
+ result() const
{
vresult[0] = data->result();
return vresult;
}
- virtual Result total() const { return data->result(); };
- virtual size_t size() const { return 1; }
+ Result total() const { return data->result(); };
+
+ size_type size() const { return 1; }
/**
*
*/
- virtual std::string str() const { return data->name; }
+ std::string str() const { return data->name; }
};
template <class Stat>
: proxy(p), vresult(1)
{ }
- virtual const VResult &
+ const VResult &
result() const
{
vresult[0] = proxy.result();
return vresult;
}
- virtual Result
+ Result
total() const
{
return proxy.result();
}
- virtual size_t
+ size_type
size() const
{
return 1;
/**
*
*/
- virtual std::string
+ std::string
str() const
{
return proxy.str();
class VectorStatNode : public Node
{
private:
- const VectorData *data;
+ const VectorInfo *data;
public:
- VectorStatNode(const VectorData *d) : data(d) { }
- virtual const VResult &result() const { return data->result(); }
- virtual Result total() const { return data->total(); };
+ VectorStatNode(const VectorInfo *d) : data(d) { }
+ const VResult &result() const { return data->result(); }
+ Result total() const { return data->total(); };
- virtual size_t size() const { return data->size(); }
+ size_type size() const { return data->size(); }
- virtual std::string str() const { return data->name; }
+ std::string str() const { return data->name; }
};
template <class T>
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; }
- virtual std::string str() const { return to_string(vresult[0]); }
+ Result total() const { return vresult[0]; };
+ size_type size() const { return 1; }
+ std::string str() const { return std::to_string(vresult[0]); }
};
-template <class Op>
-struct OpString;
-
-template<>
-struct OpString<std::plus<Result> >
+template <class T>
+class ConstVectorNode : public Node
{
- static std::string str() { return "+"; }
-};
+ private:
+ VResult vresult;
-template<>
-struct OpString<std::minus<Result> >
-{
- static std::string str() { return "-"; }
-};
+ public:
+ ConstVectorNode(const T &s) : vresult(s.begin(), s.end()) {}
+ const VResult &result() const { return vresult; }
+
+ Result
+ total() const
+ {
+ size_type size = this->size();
+ Result tmp = 0;
+ for (off_type i = 0; i < size; i++)
+ tmp += vresult[i];
+ return tmp;
+ }
+
+ size_type size() const { return vresult.size(); }
+ std::string
+ str() const
+ {
+ size_type size = this->size();
+ std::string tmp = "(";
+ for (off_type i = 0; i < size; i++)
+ tmp += csprintf("%s ", std::to_string(vresult[i]));
+ tmp += ")";
+ return tmp;
+ }
+};
+
+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> >
public:
UnaryNode(NodePtr &p) : l(p) {}
- const VResult &result() const
+ const VResult &
+ result() const
{
const VResult &lvec = l->result();
- int size = lvec.size();
+ size_type size = lvec.size();
assert(size > 0);
vresult.resize(size);
Op op;
- for (int i = 0; i < size; ++i)
+ for (off_type i = 0; i < size; ++i)
vresult[i] = op(lvec[i]);
return vresult;
}
- Result total() const {
- Op op;
- return op(l->total());
+ Result
+ total() const
+ {
+ const VResult &vec = this->result();
+ Result total = 0.0;
+ for (off_type i = 0; i < size(); i++)
+ total += vec[i];
+ return total;
}
- virtual size_t size() const { return l->size(); }
+ size_type size() const { return l->size(); }
- virtual std::string str() const
+ std::string
+ str() const
{
return OpString<Op>::str() + l->str();
}
public:
BinaryNode(NodePtr &a, NodePtr &b) : l(a), r(b) {}
- const VResult &result() const
+ const VResult &
+ result() const override
{
Op op;
const VResult &lvec = l->result();
vresult.resize(1);
vresult[0] = op(lvec[0], rvec[0]);
} else if (lvec.size() == 1) {
- int size = rvec.size();
+ size_type size = rvec.size();
vresult.resize(size);
- for (int i = 0; i < size; ++i)
+ for (off_type i = 0; i < size; ++i)
vresult[i] = op(lvec[0], rvec[i]);
} else if (rvec.size() == 1) {
- int size = lvec.size();
+ size_type size = lvec.size();
vresult.resize(size);
- for (int i = 0; i < size; ++i)
+ for (off_type i = 0; i < size; ++i)
vresult[i] = op(lvec[i], rvec[0]);
} else if (rvec.size() == lvec.size()) {
- int size = rvec.size();
+ size_type size = rvec.size();
vresult.resize(size);
- for (int i = 0; i < size; ++i)
+ for (off_type i = 0; i < size; ++i)
vresult[i] = op(lvec[i], rvec[i]);
}
return vresult;
}
- Result total() const {
+ Result
+ total() const override
+ {
+ const VResult &vec = this->result();
+ const VResult &lvec = l->result();
+ const VResult &rvec = r->result();
+ Result total = 0.0;
+ Result lsum = 0.0;
+ Result rsum = 0.0;
Op op;
- return op(l->total(), r->total());
+
+ assert(lvec.size() > 0 && rvec.size() > 0);
+ assert(lvec.size() == rvec.size() ||
+ lvec.size() == 1 || rvec.size() == 1);
+
+ /** If vectors are the same divide their sums (x0+x1)/(y0+y1) */
+ if (lvec.size() == rvec.size() && lvec.size() > 1) {
+ for (off_type i = 0; i < size(); ++i) {
+ lsum += lvec[i];
+ rsum += rvec[i];
+ }
+ return op(lsum, rsum);
+ }
+
+ /** Otherwise divide each item by the divisor */
+ for (off_type i = 0; i < size(); ++i) {
+ total += vec[i];
+ }
+
+ return total;
}
- virtual size_t size() const {
- int ls = l->size();
- int rs = r->size();
- if (ls == 1)
+ size_type
+ size() const override
+ {
+ size_type ls = l->size();
+ size_type rs = r->size();
+ if (ls == 1) {
return rs;
- else if (rs == 1)
+ } else if (rs == 1) {
return ls;
- else {
+ } else {
assert(ls == rs && "Node vector sizes are not equal");
return ls;
}
}
- virtual std::string str() const
+ std::string
+ str() const override
{
return csprintf("(%s %s %s)", l->str(), OpString<Op>::str(), r->str());
}
public:
SumNode(NodePtr &p) : l(p), vresult(1) {}
- const VResult &result() const
+ const VResult &
+ result() const
{
const VResult &lvec = l->result();
- int size = lvec.size();
+ size_type size = lvec.size();
assert(size > 0);
vresult[0] = 0.0;
Op op;
- for (int i = 0; i < size; ++i)
+ for (off_type i = 0; i < size; ++i)
vresult[0] = op(vresult[0], lvec[i]);
return vresult;
}
- Result total() const
+ Result
+ total() const
{
const VResult &lvec = l->result();
- int size = lvec.size();
+ size_type size = lvec.size();
assert(size > 0);
- Result vresult = 0.0;
+ Result result = 0.0;
Op op;
- for (int i = 0; i < size; ++i)
- vresult = op(vresult, lvec[i]);
+ for (off_type i = 0; i < size; ++i)
+ result = op(result, lvec[i]);
- return vresult;
+ return result;
}
- virtual size_t size() const { return 1; }
+ size_type size() const { return 1; }
- virtual std::string str() const
+ std::string
+ str() const
{
return csprintf("total(%s)", l->str());
}
* This is a simple scalar statistic, like a counter.
* @sa Stat, ScalarBase, StatStor
*/
-template<int N = 0>
-class Scalar : public Wrap<Scalar<N>, ScalarBase<StatStor>, ScalarStatData>
+class Scalar : public ScalarBase<Scalar, StatStor>
{
public:
- /** The base implementation. */
- typedef ScalarBase<StatStor> Base;
+ using ScalarBase<Scalar, StatStor>::operator=;
- Scalar()
+ Scalar(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : ScalarBase<Scalar, StatStor>(parent, name, desc)
{
- this->doInit();
}
-
- /**
- * 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>
+/**
+ * A stat that calculates the per tick average of a value.
+ * @sa Stat, ScalarBase, AvgStor
+ */
+class Average : public ScalarBase<Average, AvgStor>
{
public:
- /** The base implementation. */
- typedef ValueBase Base;
+ using ScalarBase<Average, AvgStor>::operator=;
- template <class T>
- Value &scalar(T &value)
+ Average(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : ScalarBase<Average, AvgStor>(parent, name, desc)
{
- 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<int N = 0>
-class Average : public Wrap<Average<N>, ScalarBase<AvgStor>, ScalarStatData>
+class Value : public ValueBase<Value>
{
public:
- /** The base implementation. */
- typedef ScalarBase<AvgStor> Base;
-
- Average()
+ Value(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : ValueBase<Value>(parent, name, desc)
{
- this->doInit();
}
-
- /**
- * 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<int N = 0>
-class Vector : public WrapVec<Vector<N>, VectorBase<StatStor>, VectorStatData>
+class Vector : public VectorBase<Vector, StatStor>
{
public:
- /** The base implementation. */
- typedef ScalarBase<StatStor> 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) {
- this->doInit(size);
- return *this;
+ Vector(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : VectorBase<Vector, StatStor>(parent, name, desc)
+ {
}
};
* A vector of Average stats.
* @sa Stat, VectorBase, AvgStor
*/
-template<int N = 0>
-class AverageVector
- : public WrapVec<AverageVector<N>, VectorBase<AvgStor>, VectorStatData>
+class AverageVector : public VectorBase<AverageVector, AvgStor>
{
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) {
- this->doInit(size);
- return *this;
+ AverageVector(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : VectorBase<AverageVector, AvgStor>(parent, name, desc)
+ {
}
};
* A 2-Dimensional vecto of scalar stats.
* @sa Stat, Vector2dBase, StatStor
*/
-template<int N = 0>
-class Vector2d
- : public WrapVec2d<Vector2d<N>, Vector2dBase<StatStor>, Vector2dStatData>
+class Vector2d : public Vector2dBase<Vector2d, StatStor>
{
public:
- Vector2d &init(size_t x, size_t y) {
- this->doInit(x, y);
- return *this;
+ Vector2d(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : Vector2dBase<Vector2d, StatStor>(parent, name, desc)
+ {
}
};
* A simple distribution stat.
* @sa Stat, DistBase, DistStor
*/
-template<int N = 0>
-class Distribution
- : public Wrap<Distribution<N>, DistBase<DistStor>, DistStatData>
+class Distribution : public DistBase<Distribution, DistStor>
{
public:
- /** Base implementation. */
- typedef DistBase<DistStor> Base;
- /** The Parameter type. */
- typedef DistStor::Params Params;
+ Distribution(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : DistBase<Distribution, DistStor>(parent, name, desc)
+ {
+ }
- public:
/**
* Set the parameters of this distribution. @sa DistStor::Params
* @param min The minimum 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) {
- this->params.min = min;
- this->params.max = max;
- this->params.bucket_size = bkt;
- this->params.size = (int)rint((max - min) / bkt + 1.0);
+ Distribution &
+ init(Counter min, Counter max, Counter bkt)
+ {
+ DistStor::Params *params = new DistStor::Params;
+ params->min = min;
+ params->max = max;
+ params->bucket_size = bkt;
+ // Division by zero is especially serious in an Aarch64 host,
+ // where it gets rounded to allocate 32GiB RAM.
+ assert(bkt > 0);
+ params->buckets = (size_type)ceil((max - min + 1.0) / bkt);
+ this->setParams(params);
this->doInit();
- return *this;
+ return this->self();
}
};
/**
- * Calculates the mean and variance of all the samples.
- * @sa Stat, DistBase, FancyStor
+ * A simple histogram stat.
+ * @sa Stat, DistBase, HistStor
*/
-template<int N = 0>
-class StandardDeviation
- : public Wrap<StandardDeviation<N>, DistBase<FancyStor>, DistStatData>
+class Histogram : public DistBase<Histogram, HistStor>
{
public:
- /** The base implementation */
- typedef DistBase<DistStor> Base;
- /** The parameter type. */
- typedef DistStor::Params Params;
+ Histogram(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : DistBase<Histogram, HistStor>(parent, name, desc)
+ {
+ }
- public:
/**
- * Construct and initialize this distribution.
+ * Set the parameters of this histogram. @sa HistStor::Params
+ * @param size The number of buckets in the histogram
+ * @return A reference to this histogram.
*/
- StandardDeviation() {
+ Histogram &
+ init(size_type size)
+ {
+ HistStor::Params *params = new HistStor::Params;
+ params->buckets = size;
+ this->setParams(params);
this->doInit();
+ return this->self();
}
};
/**
- * Calculates the per cycle mean and variance of the samples.
- * @sa Stat, DistBase, AvgFancy
+ * Calculates the mean and variance of all the samples.
+ * @sa DistBase, SampleStor
*/
-template<int N = 0>
-class AverageDeviation
- : public Wrap<AverageDeviation<N>, DistBase<AvgFancy>, DistStatData>
+class StandardDeviation : public DistBase<StandardDeviation, SampleStor>
{
public:
- /** The base implementation */
- typedef DistBase<DistStor> Base;
- /** The parameter type. */
- typedef DistStor::Params Params;
+ /**
+ * Construct and initialize this distribution.
+ */
+ StandardDeviation(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : DistBase<StandardDeviation, SampleStor>(parent, name, desc)
+ {
+ SampleStor::Params *params = new SampleStor::Params;
+ this->doInit();
+ this->setParams(params);
+ }
+};
+/**
+ * Calculates the per tick mean and variance of the samples.
+ * @sa DistBase, AvgSampleStor
+ */
+class AverageDeviation : public DistBase<AverageDeviation, AvgSampleStor>
+{
public:
/**
* Construct and initialize this distribution.
*/
- AverageDeviation()
+ AverageDeviation(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : DistBase<AverageDeviation, AvgSampleStor>(parent, name, desc)
{
+ AvgSampleStor::Params *params = new AvgSampleStor::Params;
this->doInit();
+ this->setParams(params);
}
};
/**
* A vector of distributions.
- * @sa Stat, VectorDistBase, DistStor
+ * @sa VectorDistBase, DistStor
*/
-template<int N = 0>
-class VectorDistribution
- : public WrapVec<VectorDistribution<N>,
- VectorDistBase<DistStor>,
- VectorDistStatData>
+class VectorDistribution : public VectorDistBase<VectorDistribution, DistStor>
{
public:
- /** The base implementation */
- typedef VectorDistBase<DistStor> Base;
- /** The parameter type. */
- typedef DistStor::Params Params;
+ VectorDistribution(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : VectorDistBase<VectorDistribution, DistStor>(parent, name, desc)
+ {
+ }
- public:
/**
* Initialize storage and parameters for this distribution.
* @param size The size of the vector (the number of distributions).
* @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) {
- this->params.min = min;
- this->params.max = max;
- this->params.bucket_size = bkt;
- this->params.size = (int)rint((max - min) / bkt + 1.0);
+ VectorDistribution &
+ init(size_type size, Counter min, Counter max, Counter bkt)
+ {
+ DistStor::Params *params = new DistStor::Params;
+ params->min = min;
+ params->max = max;
+ params->bucket_size = bkt;
+ params->buckets = (size_type)ceil((max - min + 1.0) / bkt);
+ this->setParams(params);
this->doInit(size);
- return *this;
+ return this->self();
}
};
/**
* This is a vector of StandardDeviation stats.
- * @sa Stat, VectorDistBase, FancyStor
+ * @sa VectorDistBase, SampleStor
*/
-template<int N = 0>
class VectorStandardDeviation
- : public WrapVec<VectorStandardDeviation<N>,
- VectorDistBase<FancyStor>,
- VectorDistStatData>
+ : public VectorDistBase<VectorStandardDeviation, SampleStor>
{
public:
- /** The base implementation */
- typedef VectorDistBase<FancyStor> Base;
- /** The parameter type. */
- typedef DistStor::Params Params;
+ VectorStandardDeviation(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : VectorDistBase<VectorStandardDeviation, SampleStor>(parent, name,
+ desc)
+ {
+ }
- public:
/**
* Initialize storage for this distribution.
* @param size The size of the vector.
* @return A reference to this distribution.
*/
- VectorStandardDeviation &init(int size) {
+ VectorStandardDeviation &
+ init(size_type size)
+ {
+ SampleStor::Params *params = new SampleStor::Params;
this->doInit(size);
- return *this;
+ this->setParams(params);
+ return this->self();
}
};
/**
* This is a vector of AverageDeviation stats.
- * @sa Stat, VectorDistBase, AvgFancy
+ * @sa VectorDistBase, AvgSampleStor
*/
-template<int N = 0>
class VectorAverageDeviation
- : public WrapVec<VectorAverageDeviation<N>,
- VectorDistBase<AvgFancy>,
- VectorDistStatData>
+ : public VectorDistBase<VectorAverageDeviation, AvgSampleStor>
{
public:
- /** The base implementation */
- typedef VectorDistBase<AvgFancy> Base;
- /** The parameter type. */
- typedef DistStor::Params Params;
+ VectorAverageDeviation(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : VectorDistBase<VectorAverageDeviation, AvgSampleStor>(parent, name,
+ desc)
+ {
+ }
- public:
/**
* Initialize storage for this distribution.
* @param size The size of the vector.
* @return A reference to this distribution.
*/
- VectorAverageDeviation &init(int size) {
+ VectorAverageDeviation &
+ init(size_type size)
+ {
+ AvgSampleStor::Params *params = new AvgSampleStor::Params;
this->doInit(size);
- return *this;
+ this->setParams(params);
+ return this->self();
+ }
+};
+
+template <class Stat>
+class FormulaInfoProxy : public InfoProxy<Stat, FormulaInfo>
+{
+ protected:
+ mutable VResult vec;
+ mutable VCounter cvec;
+
+ public:
+ FormulaInfoProxy(Stat &stat) : InfoProxy<Stat, FormulaInfo>(stat) {}
+
+ size_type size() const { return this->s.size(); }
+
+ const VResult &
+ result() const
+ {
+ this->s.result(vec);
+ return vec;
}
+ Result total() const { return this->s.total(); }
+ VCounter &value() const { return cvec; }
+
+ std::string str() const { return this->s.str(); }
+};
+
+template <class Stat>
+class SparseHistInfoProxy : public InfoProxy<Stat, SparseHistInfo>
+{
+ public:
+ SparseHistInfoProxy(Stat &stat) : InfoProxy<Stat, SparseHistInfo>(stat) {}
};
/**
- * 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
+ * Implementation of a sparse histogram stat. The storage class is
+ * determined by the Storage template.
*/
-class FormulaBase : public DataAccess
+template <class Derived, class Stor>
+class SparseHistBase : public DataWrap<Derived, SparseHistInfoProxy>
{
+ public:
+ typedef SparseHistInfoProxy<Derived> Info;
+ typedef Stor Storage;
+ typedef typename Stor::Params Params;
+
protected:
- /** The root of the tree which represents the Formula */
- NodePtr root;
- friend class Temp;
+ /** The storage for this stat. */
+ char storage[sizeof(Storage)];
- public:
+ protected:
/**
- * 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.
+ * Retrieve the storage.
+ * @return The storage object for this stat.
*/
- void result(VResult &vec) const;
+ Storage *
+ data()
+ {
+ return reinterpret_cast<Storage *>(storage);
+ }
/**
- * 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.
+ * Retrieve a const pointer to the storage.
+ * @return A const pointer to the storage object for this stat.
*/
- Result total() const;
+ const Storage *
+ data() const
+ {
+ return reinterpret_cast<const Storage *>(storage);
+ }
- /**
- * Return the number of elements in the tree.
- */
- size_t size() const;
+ void
+ doInit()
+ {
+ new (storage) Storage(this->info());
+ this->setInit();
+ }
- bool check() const { return true; }
+ public:
+ SparseHistBase(Group *parent, const char *name, const char *desc)
+ : DataWrap<Derived, SparseHistInfoProxy>(parent, name, desc)
+ {
+ }
/**
- * Formulas don't need to be reset
+ * 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.
*/
- void reset();
+ template <typename U>
+ void sample(const U &v, int n = 1) { data()->sample(v, n); }
/**
- *
+ * Return the number of entries in this stat.
+ * @return The number of entries.
*/
- bool zero() const;
-
+ size_type size() const { return data()->size(); }
/**
- *
+ * Return true if no samples have been added.
+ * @return True if there haven't been any samples.
*/
- void update(StatData *);
+ bool zero() const { return data()->zero(); }
- std::string str() const;
+ void
+ prepare()
+ {
+ Info *info = this->info();
+ data()->prepare(info, info->data);
+ }
+
+ /**
+ * Reset stat value to default
+ */
+ void
+ reset()
+ {
+ data()->reset(this->info());
+ }
};
-class FormulaData : public VectorData
+/**
+ * Templatized storage and interface for a sparse histogram stat.
+ */
+class SparseHistStor
{
public:
- virtual std::string str() const = 0;
- virtual bool check() const { return true; }
-};
+ /** The parameters for a sparse histogram stat. */
+ struct Params : public DistParams
+ {
+ Params() : DistParams(Hist) {}
+ };
-template <class Stat>
-class FormulaStatData : public FormulaData
-{
- protected:
- Stat &s;
- mutable VResult vec;
- mutable VCounter cvec;
+ private:
+ /** Counter for number of samples */
+ Counter samples;
+ /** Counter for each bucket. */
+ MCounter cmap;
public:
- FormulaStatData(Stat &stat) : s(stat) {}
+ SparseHistStor(Info *info)
+ {
+ reset(info);
+ }
+
+ /**
+ * 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.
+ */
+ void
+ sample(Counter val, int number)
+ {
+ cmap[val] += number;
+ samples += number;
+ }
- virtual bool zero() const { return s.zero(); }
- virtual void reset() { s.reset(); }
+ /**
+ * Return the number of buckets in this distribution.
+ * @return the number of buckets.
+ */
+ size_type size() const { return cmap.size(); }
- virtual size_t size() const { return s.size(); }
- virtual const VResult &result() const
+ /**
+ * Returns true if any calls to sample have been made.
+ * @return True if any values have been sampled.
+ */
+ bool
+ zero() const
{
- s.result(vec);
- return vec;
+ return samples == Counter();
}
- virtual Result total() const { return s.total(); }
- virtual VCounter &value() const { return cvec; }
- virtual void visit(Visit &visitor)
+
+ void
+ prepare(Info *info, SparseHistData &data)
{
- update();
- s.update(this);
- visitor.visit(*this);
+ MCounter::iterator it;
+ data.cmap.clear();
+ for (it = cmap.begin(); it != cmap.end(); it++) {
+ data.cmap[(*it).first] = (*it).second;
+ }
+
+ data.samples = samples;
+ }
+
+ /**
+ * Reset stat value to default
+ */
+ void
+ reset(Info *info)
+ {
+ cmap.clear();
+ samples = 0;
}
- virtual std::string str() const { return s.str(); }
};
-class Temp;
-class Formula
- : public WrapVec<Formula,
- FormulaBase,
- FormulaStatData>
+class SparseHistogram : public SparseHistBase<SparseHistogram, SparseHistStor>
{
public:
+ SparseHistogram(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr)
+ : SparseHistBase<SparseHistogram, SparseHistStor>(parent, name, desc)
+ {
+ }
+
/**
- * Create and initialize thie formula, and register it with the database.
+ * Set the parameters of this histogram. @sa HistStor::Params
+ * @param size The number of buckets in the histogram
+ * @return A reference to this histogram.
*/
- Formula();
+ SparseHistogram &
+ init(size_type size)
+ {
+ SparseHistStor::Params *params = new SparseHistStor::Params;
+ this->setParams(params);
+ this->doInit();
+ return this->self();
+ }
+};
+class Temp;
+/**
+ * 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 Formula : public DataWrapVec<Formula, FormulaInfoProxy>
+{
+ protected:
+ /** The root of the tree which represents the Formula */
+ NodePtr root;
+ friend class Temp;
+
+ public:
/**
- * Create a formula with the given root node, register it with the
- * database.
- * @param r The root of the expression tree.
+ * Create and initialize thie formula, and register it with the database.
*/
- Formula(Temp r);
+ Formula(Group *parent = nullptr, const char *name = nullptr,
+ const char *desc = nullptr);
+
+ Formula(Group *parent, const char *name, const char *desc,
+ const 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);
+ const Formula &operator=(const Temp &r);
+
+ template<typename T>
+ const Formula &operator=(const T &v)
+ {
+ *this = Temp(v);
+ return *this;
+ }
/**
* Add the given tree to the existing one.
* @return a reference to this formula.
*/
const Formula &operator+=(Temp r);
+
+ /**
+ * Divide the existing tree by the given one.
+ * @param r The root of the expression tree.
+ * @return a reference to this formula.
+ */
+ const Formula &operator/=(Temp r);
+
+ /**
+ * 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_type size() const;
+
+ void prepare() { }
+
+ /**
+ * Formulas don't need to be reset
+ */
+ void reset();
+
+ /**
+ *
+ */
+ bool zero() const;
+
+ std::string str() const;
};
class FormulaNode : public Node
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(); }
+ size_type size() const { return formula.size(); }
+ const VResult &result() const { formula.result(vec); return vec; }
+ Result total() const { return formula.total(); }
- virtual std::string str() const { return formula.str(); }
+ std::string str() const { return formula.str(); }
};
/**
* Copy the given pointer to this class.
* @param n A pointer to a Node object to copy.
*/
- Temp(NodePtr n) : node(n) { }
+ Temp(const NodePtr &n) : node(n) { }
+
+ Temp(NodePtr &&n) : node(std::move(n)) { }
/**
* Return the node pointer.
* @return the node pointer.
*/
- operator NodePtr&() { return node;}
+ operator NodePtr&() { return node; }
+
+ /**
+ * Makde gcc < 4.6.3 happy and explicitly get the underlying node.
+ */
+ NodePtr getNodePtr() const { return node; }
public:
/**
* Create a new ScalarStatNode.
* @param s The ScalarStat to place in a node.
*/
- template <int N>
- Temp(const Scalar<N> &s)
- : node(new ScalarStatNode(s.statData())) { }
+ Temp(const Scalar &s)
+ : node(new ScalarStatNode(s.info()))
+ { }
/**
* Create a new ScalarStatNode.
* @param s The ScalarStat to place in a node.
*/
Temp(const Value &s)
- : node(new ScalarStatNode(s.statData())) { }
+ : node(new ScalarStatNode(s.info()))
+ { }
/**
* Create a new ScalarStatNode.
* @param s The ScalarStat to place in a node.
*/
- template <int N>
- Temp(const Average<N> &s)
- : node(new ScalarStatNode(s.statData())) { }
+ Temp(const Average &s)
+ : node(new ScalarStatNode(s.info()))
+ { }
/**
* Create a new VectorStatNode.
* @param s The VectorStat to place in a node.
*/
- template <int N>
- Temp(const Vector<N> &s)
- : node(new VectorStatNode(s.statData())) { }
+ Temp(const Vector &s)
+ : node(new VectorStatNode(s.info()))
+ { }
+
+ Temp(const AverageVector &s)
+ : node(new VectorStatNode(s.info()))
+ { }
/**
*
*/
Temp(const Formula &f)
- : node(new FormulaNode(f)) { }
+ : node(new FormulaNode(f))
+ { }
/**
* Create a new ScalarProxyNode.
*/
template <class Stat>
Temp(const ScalarProxy<Stat> &p)
- : node(new ScalarProxyNode<Stat>(p)) { }
+ : node(new ScalarProxyNode<Stat>(p))
+ { }
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(signed char value)
- : node(new ConstNode<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)) {}
+ : 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)) {}
+ : 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)) {}
+ : 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)) {}
+ : 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)) {}
+ : 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)) {}
+ : 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)) {}
+ : 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)) {}
+ : 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)) {}
+ : 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)) {}
+ : node(new ConstNode<float>(value))
+ { }
/**
* Create a ConstNode
* @param value The value of the const node.
*/
Temp(double value)
- : node(new ConstNode<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));
+ return Temp(std::make_shared<BinaryNode<std::plus<Result> > >(l, r));
}
inline Temp
operator-(Temp l, Temp r)
{
- return NodePtr(new BinaryNode<std::minus<Result> >(l, r));
+ return Temp(std::make_shared<BinaryNode<std::minus<Result> > >(l, r));
}
inline Temp
operator*(Temp l, Temp r)
{
- return NodePtr(new BinaryNode<std::multiplies<Result> >(l, r));
+ return Temp(std::make_shared<BinaryNode<std::multiplies<Result> > >(l, r));
}
inline Temp
operator/(Temp l, Temp r)
{
- return NodePtr(new BinaryNode<std::divides<Result> >(l, r));
+ return Temp(std::make_shared<BinaryNode<std::divides<Result> > >(l, r));
}
inline Temp
operator-(Temp l)
{
- return NodePtr(new UnaryNode<std::negate<Result> >(l));
+ return Temp(std::make_shared<UnaryNode<std::negate<Result> > >(l));
}
template <typename T>
inline Temp
constant(T val)
{
- return NodePtr(new ConstNode<T>(val));
+ return Temp(std::make_shared<ConstNode<T> >(val));
+}
+
+template <typename T>
+inline Temp
+constantVector(T val)
+{
+ return Temp(std::make_shared<ConstVectorNode<T> >(val));
}
inline Temp
sum(Temp val)
{
- return NodePtr(new SumNode<std::plus<Result> >(val));
+ return Temp(std::make_shared<SumNode<std::plus<Result> > >(val));
}
-/* namespace Stats */ }
+/** Dump all statistics data to the registered outputs */
+void dump();
+void reset();
+void enable();
+bool enabled();
+
+/**
+ * Register reset and dump handlers. These are the functions which
+ * will actually perform the whole statistics reset/dump actions
+ * including processing the reset/dump callbacks
+ */
+typedef void (*Handler)();
+
+void registerHandlers(Handler reset_handler, Handler dump_handler);
+
+/**
+ * Register a callback that should be called whenever statistics are
+ * reset
+ */
+void registerResetCallback(Callback *cb);
+
+/**
+ * Register a callback that should be called whenever statistics are
+ * about to be dumped
+ */
+void registerDumpCallback(Callback *cb);
+
+/**
+ * Process all the callbacks in the reset callbacks queue
+ */
+void processResetQueue();
+
+/**
+ * Process all the callbacks in the dump callbacks queue
+ */
+void processDumpQueue();
+
+std::list<Info *> &statsList();
+
+typedef std::map<const void *, Info *> MapType;
+MapType &statsMap();
+
+typedef std::map<std::string, Info *> NameMapType;
+NameMapType &nameMap();
+
+bool validateStatName(const std::string &name);
+
+} // namespace Stats
+
+void debugDumpStats();
#endif // __BASE_STATISTICS_HH__