#include <functional>
#include <iosfwd>
#include <list>
+#include <map>
#include <string>
#include <vector>
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) {}
+};
+
+/**
+ * Implementation of a sparse histogram stat. The storage class is
+ * determined by the Storage template.
+ */
+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 storage for this stat. */
+ char storage[sizeof(Storage)];
+
+ protected:
+ /**
+ * Retrieve the storage.
+ * @return The storage object for this stat.
+ */
+ Storage *
+ data()
+ {
+ return reinterpret_cast<Storage *>(storage);
+ }
+
+ /**
+ * Retrieve a const pointer to the storage.
+ * @return A const pointer to the storage object for this stat.
+ */
+ const Storage *
+ data() const
+ {
+ return reinterpret_cast<const Storage *>(storage);
+ }
+
+ void
+ doInit()
+ {
+ new (storage) Storage(this->info());
+ this->setInit();
+ }
+
+ public:
+ SparseHistBase() { }
+
+ /**
+ * Add a value to the distribtion n times. Calls sample on the storage
+ * class.
+ * @param v The value to add.
+ * @param n The number of times to add it, defaults to 1.
+ */
+ template <typename U>
+ void sample(const U &v, int n = 1) { data()->sample(v, n); }
+
+ /**
+ * Return the number of entries in this stat.
+ * @return The number of entries.
+ */
+ 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(); }
+
+ void
+ prepare()
+ {
+ Info *info = this->info();
+ data()->prepare(info, info->data);
+ }
+
+ /**
+ * Reset stat value to default
+ */
+ void
+ reset()
+ {
+ data()->reset(this->info());
+ }
+};
+
+/**
+ * Templatized storage and interface for a sparse histogram stat.
+ */
+class SparseHistStor
+{
+ public:
+ /** The parameters for a sparse histogram stat. */
+ struct Params : public DistParams
+ {
+ Params() : DistParams(Hist) {}
+ };
+
+ private:
+ /** Counter for number of samples */
+ Counter samples;
+ /** Counter for each bucket. */
+ MCounter cmap;
+
+ public:
+ 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;
+ }
+
+ /**
+ * Return the number of buckets in this distribution.
+ * @return the number of buckets.
+ */
+ size_type size() const { return cmap.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, SparseHistData &data)
+ {
+ 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;
+ }
+};
+
+class SparseHistogram : public SparseHistBase<SparseHistogram, SparseHistStor>
+{
+ public:
+ /**
+ * Set the parameters of this histogram. @sa HistStor::Params
+ * @param size The number of buckets in the histogram
+ * @return A reference to this histogram.
+ */
+ 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
visit((const VectorInfo &)info);
}
+/*
+ This struct implements the output methods for the sparse
+ histogram stat
+*/
+struct SparseHistPrint
+{
+ string name;
+ string separatorString;
+ string desc;
+ Flags flags;
+ bool descriptions;
+ int precision;
+
+ const SparseHistData &data;
+
+ SparseHistPrint(const Text *text, const SparseHistInfo &info);
+ void init(const Text *text, const Info &info);
+ void operator()(ostream &stream) const;
+};
+
+/* Call initialization function */
+SparseHistPrint::SparseHistPrint(const Text *text, const SparseHistInfo &info)
+ : data(info.data)
+{
+ init(text, info);
+}
+
+/* Initialization function */
+void
+SparseHistPrint::init(const Text *text, const Info &info)
+{
+ name = info.name;
+ separatorString = info.separatorString;
+ desc = info.desc;
+ flags = info.flags;
+ precision = info.precision;
+ descriptions = text->descriptions;
+}
+
+/* Grab data from map and write to output stream */
+void
+SparseHistPrint::operator()(ostream &stream) const
+{
+ string base = name + separatorString;
+
+ ScalarPrint print;
+ print.precision = precision;
+ print.flags = flags;
+ print.descriptions = descriptions;
+ print.desc = desc;
+ print.pdf = NAN;
+ print.cdf = NAN;
+
+ print.name = base + "samples";
+ print.value = data.samples;
+ print(stream);
+
+ MCounter::const_iterator it;
+ for (it = data.cmap.begin(); it != data.cmap.end(); it++) {
+ stringstream namestr;
+ namestr << base;
+
+ namestr <<(*it).first;
+ print.name = namestr.str();
+ print.value = (*it).second;
+ print(stream);
+ }
+
+ print.pdf = NAN;
+ print.cdf = NAN;
+
+ print.name = base + "total";
+ print.value = total;
+ print(stream);
+}
+
+void
+Text::visit(const SparseHistInfo &info)
+{
+ if (noOutput(info))
+ return;
+
+ SparseHistPrint print(this, info);
+ print(*stream);
+}
+
Output *
initText(const string &filename, bool desc)
{
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