1.1 --- a/src/share/vm/gc_implementation/shared/gcUtil.hpp Wed Dec 16 15:12:51 2009 -0800
1.2 +++ b/src/share/vm/gc_implementation/shared/gcUtil.hpp Wed Dec 23 09:23:54 2009 -0800
1.3 @@ -54,8 +54,8 @@
1.4
1.5 public:
1.6 // Input weight must be between 0 and 100
1.7 - AdaptiveWeightedAverage(unsigned weight) :
1.8 - _average(0.0), _sample_count(0), _weight(weight), _last_sample(0.0) {
1.9 + AdaptiveWeightedAverage(unsigned weight, float avg = 0.0) :
1.10 + _average(avg), _sample_count(0), _weight(weight), _last_sample(0.0) {
1.11 }
1.12
1.13 void clear() {
1.14 @@ -64,6 +64,13 @@
1.15 _last_sample = 0;
1.16 }
1.17
1.18 + // Useful for modifying static structures after startup.
1.19 + void modify(size_t avg, unsigned wt, bool force = false) {
1.20 + assert(force, "Are you sure you want to call this?");
1.21 + _average = (float)avg;
1.22 + _weight = wt;
1.23 + }
1.24 +
1.25 // Accessors
1.26 float average() const { return _average; }
1.27 unsigned weight() const { return _weight; }
1.28 @@ -83,6 +90,10 @@
1.29 // Convert to float and back to avoid integer overflow.
1.30 return (size_t)exp_avg((float)avg, (float)sample, weight);
1.31 }
1.32 +
1.33 + // Printing
1.34 + void print_on(outputStream* st) const;
1.35 + void print() const;
1.36 };
1.37
1.38
1.39 @@ -129,6 +140,10 @@
1.40
1.41 // Override
1.42 void sample(float new_sample);
1.43 +
1.44 + // Printing
1.45 + void print_on(outputStream* st) const;
1.46 + void print() const;
1.47 };
1.48
1.49 // A weighted average that includes a deviation from the average,
1.50 @@ -146,7 +161,12 @@
1.51 AdaptivePaddedAverage(weight, padding) {}
1.52 // Override
1.53 void sample(float new_sample);
1.54 +
1.55 + // Printing
1.56 + void print_on(outputStream* st) const;
1.57 + void print() const;
1.58 };
1.59 +
1.60 // Use a least squares fit to a set of data to generate a linear
1.61 // equation.
1.62 // y = intercept + slope * x
