Stats Struct Reference

#include <Stats.h>

Public Member Functions
void	log (int16_t golden, int16_t candidate)
void	print () const
void	log (int16_t golden, int16_t candidate)
void	print () const
	Stats (const skia_private::TArray< double > &samples, bool want_plot)

Public Attributes
int64_t	diff_8_bits = 0
int64_t	max_diff = 0
int64_t	min_diff = 0
int64_t	total = 0
int	diff_8_bits = 0
int	max_diff = 0
int	min_diff = 0
double	min
double	max
double	mean
double	var
double	median
SkString	plot

Detailed Description

Definition at line 15 of file bilerp-study.cpp.

Constructor & Destructor Documentation

Stats()

Stats::Stats ( const skia_private::TArray< double > &  samples, bool  want_plot  )

inline

Definition at line 24 of file Stats.h.

                                                                     {
        int n = samples.size();
        if (!n) {
            min = max = mean = var = median = 0;
            return;
        }
 
        min = samples[0];
        max = samples[0];
        for (int i = 0; i < n; i++) {
            if (samples[i] < min) { min = samples[i]; }
            if (samples[i] > max) { max = samples[i]; }
        }
 
        double sum = 0.0;
        for (int i = 0 ; i < n; i++) {
            sum += samples[i];
        }
        mean = sum / n;
 
        double err = 0.0;
        for (int i = 0 ; i < n; i++) {
            err += (samples[i] - mean) * (samples[i] - mean);
        }
        var = sk_ieee_double_divide(err, n-1);
 
        std::vector<double> sorted(samples.begin(), samples.end());
        std::sort(sorted.begin(), sorted.end());
        median = sorted[n/2];
 
        // Normalize samples to [min, max] in as many quanta as we have distinct bars to print.
        for (int i = 0; want_plot && i < n; i++) {
            if (min == max) {
                // All samples are the same value.  Don't divide by zero.
                plot.append(kBars[0]);
                continue;
            }
 
            double s = samples[i];
            s -= min;
            s /= (max - min);
            s *= (std::size(kBars) - 1);
            const size_t bar = (size_t)(s + 0.5);
            SkASSERT_RELEASE(bar < std::size(kBars));
            plot.append(kBars[bar]);
        }
    }

Member Function Documentation

log() [1/2]

void Stats::log ( int16_t  golden, int16_t  candidate  )

inline

Definition at line 21 of file bilerp-study.cpp.

                                                {
        int64_t diff = candidate - golden;
        max_diff = std::max(max_diff, diff);
        min_diff = std::min(min_diff, diff);
        diff_8_bits += candidate != golden;
        total++;
    }

log() [2/2]

void Stats::log ( int16_t  golden, int16_t  candidate  )

inline

Definition at line 21 of file lerp-study.cpp.

                                                {
        int diff = candidate - golden;
        max_diff = std::max(max_diff, diff);
        min_diff = std::min(min_diff, diff);
        diff_8_bits += candidate != golden;
        total++;
    }

print() [1/2]

void Stats::print ( ) const

inline

Definition at line 29 of file bilerp-study.cpp.

                       {
        printf("8-bit diff: %lld - %g%%\n", diff_8_bits, 100.0 * diff_8_bits / total);
        printf("differences min: %lld max: %lld\n", min_diff, max_diff);
        printf("total: %lld\n", total);
    }

print() [2/2]

void Stats::print ( ) const

inline

Definition at line 29 of file lerp-study.cpp.

                       {
        printf("8-bit diff: %d - %g%%\n", diff_8_bits, 100.0 * diff_8_bits / total);
        printf("differences min: %d max: %d\n", min_diff, max_diff);
        printf("total: %lld\n", total);
    }

Member Data Documentation

diff_8_bits [1/2]

int64_t Stats::diff_8_bits = 0

Definition at line 16 of file bilerp-study.cpp.

diff_8_bits [2/2]

int Stats::diff_8_bits = 0

Definition at line 16 of file lerp-study.cpp.

max

double Stats::max

Definition at line 73 of file Stats.h.

max_diff [1/2]

int64_t Stats::max_diff = 0

Definition at line 17 of file bilerp-study.cpp.

max_diff [2/2]

int Stats::max_diff = 0

Definition at line 17 of file lerp-study.cpp.

mean

double Stats::mean

Definition at line 74 of file Stats.h.

median

double Stats::median

Definition at line 76 of file Stats.h.

min

double Stats::min

Definition at line 72 of file Stats.h.

min_diff [1/2]

int64_t Stats::min_diff = 0

Definition at line 18 of file bilerp-study.cpp.

min_diff [2/2]

int Stats::min_diff = 0

Definition at line 18 of file lerp-study.cpp.

plot

SkString Stats::plot

Definition at line 77 of file Stats.h.

total

int64_t Stats::total = 0

Definition at line 19 of file bilerp-study.cpp.

var

double Stats::var

Definition at line 75 of file Stats.h.

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The documentation for this struct was generated from the following files:

• third_party/skia/experimental/lowp-basic/bilerp-study.cpp
• third_party/skia/experimental/lowp-basic/lerp-study.cpp
• third_party/skia/tools/Stats.h