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#ifndef SHARE_VM_UTILITIES_INTHISTO_HPP
#define SHARE_VM_UTILITIES_INTHISTO_HPP
#include "memory/allocation.hpp"
#include "utilities/growableArray.hpp"
// This class implements a simple histogram.
// A histogram summarizes a series of "measurements", each of which is
// assumed (required in this implementation) to have an outcome that is a
// non-negative integer. The histogram efficiently maps measurement outcomes
// to the number of measurements had that outcome.
// To print the results, invoke print() on your Histogram*.
// Note: there is already an existing "Histogram" class, in file
// histogram.{hpp,cpp}, but to my mind that's not a histogram, it's a table
// mapping strings to counts. To be a histogram (IMHO) it needs to map
// numbers (in fact, integers) to number of occurrences of that number.
// ysr: (i am not sure i agree with the above note.) i suspect we want to have a
// histogram template that will map an arbitrary type (with a defined order
// relation) to a count.
class IntHistogram : public CHeapObj<mtInternal> {
protected:
int _max;
int _tot;
GrowableArray<int>* _elements;
public:
// Create a new, empty table. "est" is an estimate of the maximum outcome
// that will be added, and "max" is an outcome such that all outcomes at
// least that large will be bundled with it.
IntHistogram(int est, int max);
// Add a measurement with the given outcome to the sequence.
void add_entry(int outcome);
// Return the number of entries recorded so far with the given outcome.
int entries_for_outcome(int outcome);
// Return the total number of entries recorded so far.
int total_entries() { return _tot; }
// Return the number of entries recorded so far with the given outcome as
// a fraction of the total number recorded so far.
double fraction_for_outcome(int outcome) {
return
(double)entries_for_outcome(outcome)/
(double)total_entries();
}
// Print the histogram on the given output stream.
void print_on(outputStream* st) const;
};
#endif // SHARE_VM_UTILITIES_INTHISTO_HPP