[apps/graph] Reworked function caching

Instead of being memoized all at once before display, functions values
are now stored at evaluation time. Fixed some quirks with caching
preparation.

Change-Id: I5d212c271c8c41a6dc9074a15c720f0bccf8ac40
This commit is contained in:
Gabriel Ozouf
2020-06-12 12:38:35 +02:00
committed by Émilie Feral
parent 42fcf557b8
commit 1bee23cf4f
8 changed files with 84 additions and 112 deletions

View File

@@ -1,5 +1,6 @@
#include "continuous_function_cache.h"
#include "continuous_function.h"
#include <limits.h>
namespace Shared {
@@ -8,43 +9,38 @@ constexpr float ContinuousFunctionCache::k_cacheHitTolerance;
constexpr int ContinuousFunctionCache::k_numberOfAvailableCaches;
// public
void ContinuousFunctionCache::PrepareCache(void * f, void * ctx, void * cch, float tMin, float tStep) {
if (!cch) {
void ContinuousFunctionCache::PrepareForCaching(void * fun, ContinuousFunctionCache * cache, float tMin, float tStep) {
if (!cache) {
/* ContinuousFunctionStore::cacheAtIndex has returned a nullptr : the index
* of the function we are trying to draw is greater than the number of
* available caches, so we do nothing.*/
return;
}
ContinuousFunction * function = (ContinuousFunction *)f;
Poincare::Context * context = (Poincare::Context *)ctx;
if (!function->cache()) {
ContinuousFunctionCache * cache = (ContinuousFunctionCache *)cch;
ContinuousFunction * function = static_cast<ContinuousFunction *>(fun);
if (function->cache() != cache) {
cache->clear();
function->setCache(cache);
}
if (function->cache()->filled() && tStep / StepFactor(function) == function->cache()->step()) {
if (function->plotType() == ContinuousFunction::PlotType::Cartesian) {
function->cache()->pan(function, context, tMin);
}
return;
if (function->plotType() == ContinuousFunction::PlotType::Cartesian && tStep != 0) {
function->cache()->pan(function, tMin);
}
function->cache()->setRange(function, tMin, tStep);
function->cache()->memoize(function, context);
}
void ContinuousFunctionCache::clear() {
m_filled = false;
m_startOfCache = 0;
m_tStep = 0;
invalidateBetween(0, k_sizeOfCache);
}
Poincare::Coordinate2D<float> ContinuousFunctionCache::valueForParameter(const ContinuousFunction * function, float t) const {
int iRes = indexForParameter(function, t);
/* If t does not map to an index, iRes is -1 */
if (iRes < 0) {
return Poincare::Coordinate2D<float>(NAN, NAN);
Poincare::Coordinate2D<float> ContinuousFunctionCache::valueForParameter(const ContinuousFunction * function, Poincare::Context * context, float t) {
int resIndex = indexForParameter(function, t);
if (resIndex < 0) {
return function->privateEvaluateXYAtParameter(t, context);
}
if (function->plotType() == ContinuousFunction::PlotType::Cartesian) {
return Poincare::Coordinate2D<float>(t, m_cache[iRes]);
}
assert(m_startOfCache == 0);
return Poincare::Coordinate2D<float>(m_cache[2*iRes], m_cache[2*iRes+1]);
return valuesAtIndex(function, context, t, resIndex);
}
// private
@@ -55,48 +51,17 @@ float ContinuousFunctionCache::StepFactor(ContinuousFunction * function) {
return (function->plotType() == ContinuousFunction::PlotType::Cartesian) ? 1.f : 16.f;
}
void ContinuousFunctionCache::invalidateBetween(int iInf, int iSup) {
for (int i = iInf; i < iSup; i++) {
m_cache[i] = NAN;
}
}
void ContinuousFunctionCache::setRange(ContinuousFunction * function, float tMin, float tStep) {
m_tMin = tMin;
m_tStep = tStep / StepFactor(function);
}
void ContinuousFunctionCache::memoize(ContinuousFunction * function, Poincare::Context * context) {
m_filled = true;
m_startOfCache = 0;
if (function->plotType() == ContinuousFunction::PlotType::Cartesian) {
memoizeYForX(function, context);
return;
}
memoizeXYForT(function, context);
}
void ContinuousFunctionCache::memoizeYForX(ContinuousFunction * function, Poincare::Context * context) {
memoizeYForXBetweenIndices(function, context, 0, k_sizeOfCache);
}
void ContinuousFunctionCache::memoizeYForXBetweenIndices(ContinuousFunction * function, Poincare::Context * context, int iInf, int iSup) {
assert(function->plotType() == ContinuousFunction::PlotType::Cartesian);
for (int i = iInf; i < iSup; i++) {
m_cache[i] = function->privateEvaluateXYAtParameter(parameterForIndex(i), context).x2();
}
}
void ContinuousFunctionCache::memoizeXYForT(ContinuousFunction * function, Poincare::Context * context) {
assert(function->plotType() != ContinuousFunction::PlotType::Cartesian);
for (int i = 1; i < k_sizeOfCache; i += 2) {
Poincare::Coordinate2D<float> res = function->privateEvaluateXYAtParameter(parameterForIndex(i/2), context);
m_cache[i - 1] = res.x1();
m_cache[i] = res.x2();
}
}
float ContinuousFunctionCache::parameterForIndex(int i) const {
if (i < m_startOfCache) {
i += k_sizeOfCache;
}
return m_tMin + m_tStep * (i - m_startOfCache);
}
int ContinuousFunctionCache::indexForParameter(const ContinuousFunction * function, float t) const {
float delta = (t - m_tMin) / m_tStep;
if (delta < 0 || delta > INT_MAX) {
@@ -104,14 +69,31 @@ int ContinuousFunctionCache::indexForParameter(const ContinuousFunction * functi
}
int res = std::round(delta);
assert(res >= 0);
if (res >= k_sizeOfCache || std::abs(res - delta) > k_cacheHitTolerance) {
if ((res >= k_sizeOfCache && function->plotType() == ContinuousFunction::PlotType::Cartesian)
|| (res >= k_sizeOfCache / 2 && function->plotType() != ContinuousFunction::PlotType::Cartesian)
|| std::abs(res - delta) > k_cacheHitTolerance) {
return -1;
}
assert(function->plotType() == ContinuousFunction::PlotType::Cartesian || m_startOfCache == 0);
return (res + m_startOfCache) % k_sizeOfCache;
}
void ContinuousFunctionCache::pan(ContinuousFunction * function, Poincare::Context * context, float newTMin) {
Poincare::Coordinate2D<float> ContinuousFunctionCache::valuesAtIndex(const ContinuousFunction * function, Poincare::Context * context, float t, int i) {
if (function->plotType() == ContinuousFunction::PlotType::Cartesian) {
if (std::isnan(m_cache[i])) {
m_cache[i] = function->privateEvaluateXYAtParameter(t, context).x2();
}
return Poincare::Coordinate2D<float>(t, m_cache[i]);
}
if (std::isnan(m_cache[2 * i]) || std::isnan(m_cache[2 * i + 1])) {
Poincare::Coordinate2D<float> res = function->privateEvaluateXYAtParameter(t, context);
m_cache[2 * i] = res.x1();
m_cache[2 * i + 1] = res.x2();
}
return Poincare::Coordinate2D<float>(m_cache[2 * i], m_cache[2 * i + 1]);
}
void ContinuousFunctionCache::pan(ContinuousFunction * function, float newTMin) {
assert(function->plotType() == ContinuousFunction::PlotType::Cartesian);
if (newTMin == m_tMin) {
return;
@@ -120,12 +102,12 @@ void ContinuousFunctionCache::pan(ContinuousFunction * function, Poincare::Conte
float dT = (newTMin - m_tMin) / m_tStep;
m_tMin = newTMin;
if (std::abs(dT) > INT_MAX) {
memoize(function, context);
clear();
return;
}
int dI = std::round(dT);
if (dI >= k_sizeOfCache || dI <= -k_sizeOfCache || std::abs(dT - dI) > k_cacheHitTolerance) {
memoize(function, context);
clear();
return;
}
@@ -136,17 +118,17 @@ void ContinuousFunctionCache::pan(ContinuousFunction * function, Poincare::Conte
}
if (dI > 0) {
if (m_startOfCache > oldStart) {
memoizeYForXBetweenIndices(function, context, oldStart, m_startOfCache);
invalidateBetween(oldStart, m_startOfCache);
} else {
memoizeYForXBetweenIndices(function, context, oldStart, k_sizeOfCache);
memoizeYForXBetweenIndices(function, context, 0, m_startOfCache);
invalidateBetween(oldStart, k_sizeOfCache);
invalidateBetween(0, m_startOfCache);
}
} else {
if (m_startOfCache > oldStart) {
memoizeYForXBetweenIndices(function, context, m_startOfCache, k_sizeOfCache);
memoizeYForXBetweenIndices(function, context, 0, oldStart);
invalidateBetween(m_startOfCache, k_sizeOfCache);
invalidateBetween(0, oldStart);
} else {
memoizeYForXBetweenIndices(function, context, m_startOfCache, oldStart);
invalidateBetween(m_startOfCache, oldStart);
}
}
}