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refactor functions

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This commit is contained in:
Konstantin Käfer
2014-06-30 16:52:39 +02:00
parent 93cd4c5c7b
commit 18d898fae7
14 changed files with 615 additions and 396 deletions
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151
src/style/function_properties.cpp
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@@ -1,86 +1,131 @@
#include <llmr/style/function_properties.hpp>
#include <llmr/style/types.hpp>
#include <cmath>
namespace llmr {
float functions::null(float, const std::vector<float>&) {
return 0;
template <>
bool LinearFunction<bool>::evaluate(float z) const {
return z < z_base ? slope >= 0 : z > z_base ? slope >= 0 : value;
}
float functions::constant(float, const std::vector<float>& values) {
return values.size() >= 1 ? values.front() : 0.0f;
template <>
float LinearFunction<float>::evaluate(float z) const {
return std::fmin(std::fmax(min, value + (z - z_base) * slope), max);
}
float functions::min(float z, const std::vector<float>& values) {
return values.size() >= 1 && z >= values.front();
template <>
Color LinearFunction<Color>::evaluate(float z) const {
return {{
std::fmin(std::fmax(min[0], value[0] + (z - z_base) * slope), max[0]),
std::fmin(std::fmax(min[1], value[1] + (z - z_base) * slope), max[1]),
std::fmin(std::fmax(min[2], value[2] + (z - z_base) * slope), max[2]),
std::fmin(std::fmax(min[3], value[3] + (z - z_base) * slope), max[3])
}};
}
float functions::max(float z, const std::vector<float>& values) {
return values.size() >= 1 && z <= values.front();
template <>
bool ExponentialFunction<bool>::evaluate(float z) const {
return z < z_base ? slope >= 0 : z > z_base ? slope >= 0 : value;
}
float functions::stops(float z, const std::vector<float>& stops) {
// We need an even number of stop values.
if (stops.size() % 2 != 0) return 0;
template <>
float ExponentialFunction<float>::evaluate(float z) const {
return std::fmin(std::fmax(min, value + std::pow(1.75, (z - z_base)) * slope), max);
}
template <>
Color ExponentialFunction<Color>::evaluate(float z) const {
return {{
std::fmin(std::fmax(min[0], value[0] + float(std::pow(1.75, (z - z_base))) * slope), max[0]),
std::fmin(std::fmax(min[1], value[1] + float(std::pow(1.75, (z - z_base))) * slope), max[1]),
std::fmin(std::fmax(min[2], value[2] + float(std::pow(1.75, (z - z_base))) * slope), max[2]),
std::fmin(std::fmax(min[3], value[3] + float(std::pow(1.75, (z - z_base))) * slope), max[3])
}};
}
template <typename T>
inline T exponentialInterpolate(T smaller, T larger, const float factor);
template <>
inline float exponentialInterpolate(const float smaller, const float larger, const float factor) {
// Linear interpolation if base is 0
if (smaller == 0.0f) {
return factor * larger;
}
// Exponential interpolation between the values
return smaller * std::pow(larger / smaller, factor);
}
template <>
inline bool exponentialInterpolate(const bool smaller, const bool larger, const float factor) {
return exponentialInterpolate(float(smaller), float(larger), factor);
}
template <>
inline Color exponentialInterpolate(const Color smaller, const Color larger, const float factor) {
return {{
exponentialInterpolate(smaller[0], larger[0], factor),
exponentialInterpolate(smaller[1], larger[1], factor),
exponentialInterpolate(smaller[2], larger[2], factor),
exponentialInterpolate(smaller[3], larger[3], factor)
}};
}
template <typename T>
T exponentialDefault();
template <> bool exponentialDefault() { return true; }
template <> float exponentialDefault() { return 1.0f; }
template <> Color exponentialDefault() { return {{ 0, 0, 0, 1 }}; }
template <typename T>
T StopsFunction<T>::evaluate(float z) const {
bool smaller = false;
float smaller_z = 0.0;
float smaller_val = 0.0;
float smaller_z = 0.0f;
T smaller_val {};
bool larger = false;
float larger_z = 0.0;
float larger_val = 0.0;
float larger_z = 0.0f;
T larger_val {};
for (uint32_t i = 0; i < stops.size(); i += 2) {
float stop_z = stops[i];
float stop_val = stops[i + 1];
if (stop_z <= z && (!smaller || smaller_z < stop_z)) { smaller = true; smaller_z = stop_z; smaller_val = stop_val; }
if (stop_z >= z && (!larger || larger_z > stop_z)) { larger = true; larger_z = stop_z; larger_val = stop_val; }
for (uint32_t i = 0; i < values.size(); i++) {
float stop_z = values[i].first;
T stop_val = values[i].second;
if (stop_z <= z && (!smaller || smaller_z < stop_z)) {
smaller = true;
smaller_z = stop_z;
smaller_val = stop_val;
}
if (stop_z >= z && (!larger || larger_z > stop_z)) {
larger = true;
larger_z = stop_z;
larger_val = stop_val;
}
}
if (smaller && larger) {
if (larger_z == smaller_z || larger_val == smaller_val) return smaller_val;
if (larger_z == smaller_z || larger_val == smaller_val) {
return smaller_val;
}
float factor = (z - smaller_z) / (larger_z - smaller_z);
// Linear interpolation if base is 0
if (smaller_val == 0) return factor * larger_val;
// Exponential interpolation between the values
return smaller_val * std::pow(larger_val / smaller_val, factor);
return exponentialInterpolate<T>(smaller_val, larger_val, factor);
} else if (larger) {
return larger_val;
} else if (smaller) {
return smaller_val;
} else {
// No stop defined.
return 1;
return exponentialDefault<T>();
}
}
float functions::linear(float z, const std::vector<float>& values) {
if (values.size() != 5) {
return 0;
}
const float z_base = values[0];
const float val = values[1];
const float slope = values[2];
const float min = values[3];
const float max = values[4];
return std::fmin(std::fmax(min, val + (z - z_base) * slope), max);
}
float functions::exponential(float z, const std::vector<float>& values) {
if (values.size() != 5) {
return 0;
}
const float z_base = values[0];
const float val = values[1];
const float slope = values[2];
const float min = values[3];
const float max = values[4];
return std::fmin(std::fmax(min, val + std::pow(1.75, (z - z_base)) * slope), max);
}
template bool StopsFunction<bool>::evaluate(float z) const;
template float StopsFunction<float>::evaluate(float z) const;
template Color StopsFunction<Color>::evaluate(float z) const;
}