n/b/patch: add blur width parameter
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@ -17,12 +17,13 @@
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#ifndef __UTIL_NOISE_BASIS_PATCH_HPP
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#ifndef __UTIL_NOISE_BASIS_PATCH_HPP
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#define __UTIL_NOISE_BASIS_PATCH_HPP
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#define __UTIL_NOISE_BASIS_PATCH_HPP
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#include "../basis.hpp"
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#include "../../point.hpp"
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#include "../../point.hpp"
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namespace util { namespace noise { namespace basis {
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namespace util { namespace noise { namespace basis {
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template <typename T>
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template <typename T>
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struct patch {
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struct patch {
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patch (seed_t);
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patch (seed_t, T width = 0);
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range<T> bounds (void) const;
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range<T> bounds (void) const;
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T operator() (point2<T>) const;
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T operator() (point2<T>) const;
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@ -30,10 +31,17 @@ namespace util { namespace noise { namespace basis {
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seed_t seed (void) const;
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seed_t seed (void) const;
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seed_t seed (seed_t);
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seed_t seed (seed_t);
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T width (void) const;
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T width (T);
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private:
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private:
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point2<T> centroid (util::point2i) const;
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point2<T> centroid (util::point2i) const;
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T generate (util::point2i) const;
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T generate (util::point2i) const;
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static constexpr T THRESHOLD = 1 - T(0.999);
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T m_width;
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T m_power;
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seed_t m_seed;
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seed_t m_seed;
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};
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};
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} } }
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} } }
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@ -19,99 +19,169 @@
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#endif
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#endif
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#define __UTIL_NOISE_BASIS_PATCH_IPP
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#define __UTIL_NOISE_BASIS_PATCH_IPP
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#include "../../types.hpp"
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///////////////////////////////////////////////////////////////////////////////
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#include "../../ray.hpp"
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template <typename T>
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#include "../../vector.hpp"
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util::noise::basis::patch<T>::patch (seed_t _seed):
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m_seed (_seed)
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{ ; }
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///////////////////////////////////////////////////////////////////////////////
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namespace util { namespace noise { namespace basis {
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template <typename T>
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///////////////////////////////////////////////////////////////////////////
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util::range<T>
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template <typename T>
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util::noise::basis::patch<T>::bounds (void) const
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patch<T>::patch (seed_t _seed, T _width):
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{
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m_width (_width),
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return { T{0}, T{1} };
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m_power (exactly_zero (_width)
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}
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? std::numeric_limits<T>::infinity ()
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: std::log (THRESHOLD) / std::log (1 - _width)),
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m_seed (_seed)
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{ ; }
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///////////////////////////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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template <typename T>
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template <typename T>
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T
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range<T>
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util::noise::basis::patch<T>::operator () (point2<T> p) const
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patch<T>::bounds (void) const
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{
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{
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// extract integer and fractional parts. be careful to always round down
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return { T{0}, T{1} };
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// (particularly with negatives) and avoid rounding errors.
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}
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auto p_int = p.template cast<intmax_t> ();
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if (p.x < 0) p_int.x -= 1;
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if (p.y < 0) p_int.y -= 1;
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auto p_rem = (p - p_int).template as<point> ();
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T closest = std::numeric_limits<T>::infinity ();
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T value;
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for (signed y = -1; y <= 1; ++y)
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///////////////////////////////////////////////////////////////////////////
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for (signed x = -1; x <= 1; ++x) {
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template <typename T>
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util::vector2i offset {x, y};
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T
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auto c = centroid (p_int + offset);
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patch<T>::operator () (point2<T> p) const
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auto d = util::distance (p_rem, c + offset);
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{
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// extract integer and fractional parts. be careful to always round down
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// (particularly with negatives) and avoid rounding errors.
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auto p_int = p.template cast<intmax_t> ();
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if (p.x < 0) p_int.x -= 1;
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if (p.y < 0) p_int.y -= 1;
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auto p_rem = (p - p_int).template as<point> ();
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if (d < closest) {
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static const util::vector2i OFFSETS[] = {
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closest = d;
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{ 0, -2 },
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value = generate (p_int + offset);
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{ -1, -1 }, { 0, -1 }, { 1, -1 },
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}
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{ -2, 0 }, { -1, 0 }, { 0, 0 }, { 1, 0 }, { 2, 0 },
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{ -1, 1 }, { 0, 1 }, { 1, 1 },
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{ 0, 2 },
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};
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static const size_t COUNT = elems (OFFSETS);
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// find the distances to each neighbour's centroid
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util::point2<T> centres[COUNT];
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for (size_t i = 0; i < COUNT; ++i)
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centres[i] = centroid (p_int + OFFSETS[i]) + OFFSETS[i];
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T distances[COUNT];
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for (size_t i = 0; i < COUNT; ++i)
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distances[i] = util::distance (p_rem, centres[i]);
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// sort the distances, using indices so we can use 'offsets' to generate values
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unsigned indices[COUNT];
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std::iota (std::begin (indices), std::end (indices), 0);
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std::sort (std::begin (indices),
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std::end (indices),
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[&] (auto a, auto b) {
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return distances[a] < distances[b];
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});
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// calculate normalisation constants for the 9 nearest points. the
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// neighbourhood size is implicitly specified by the 1.5 unit maximum
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// distance.
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constexpr auto MAX_DISTANCE = std::hypot (1.5f, 1.5f);
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const auto lo = distances[indices[0]];
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const auto hi = std::min (distances[indices[COUNT-1]], MAX_DISTANCE);
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T out = 0.f;
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T sumw = 0.f;
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// sum the weight values of each neighbour. weight by a function of
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// the distance. we use an power function which allows a known width
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// to blend.
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for (size_t i = 0; i < COUNT && distances[indices[i]] <= MAX_DISTANCE; ++i)
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{
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auto v = generate (p_int + OFFSETS[indices[i]]);
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auto d = (distances[indices[i]] - lo) / (hi - lo);
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auto w = std::pow (1 - d, m_power);
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sumw += w;
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out += v * w;
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}
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}
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return value;
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return out / sumw;
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}
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}
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///////////////////////////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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template <typename T>
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template <typename T>
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util::noise::seed_t
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seed_t
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util::noise::basis::patch<T>::seed (void) const
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patch<T>::seed (void) const
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{
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{
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return m_seed;
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return m_seed;
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}
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}
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//-----------------------------------------------------------------------------
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//-------------------------------------------------------------------------
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template <typename T>
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template <typename T>
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util::noise::seed_t
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seed_t
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util::noise::basis::patch<T>::seed (util::noise::seed_t _seed)
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patch<T>::seed (util::noise::seed_t _seed)
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{
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{
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return m_seed = _seed;
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return m_seed = _seed;
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}
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}
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///////////////////////////////////////////////////////////////////////////////
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///////////////////////////////////////////////////////////////////////////
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template <typename T>
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template <typename T>
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util::point2<T>
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T
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util::noise::basis::patch<T>::centroid (util::point2i p) const
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patch<T>::width (void) const
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{
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{
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using util::hash::murmur2::mix;
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return m_width;
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}
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auto u = mix (m_seed, mix (uint64_t (p.x), uint64_t (p.y)));
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auto v = mix (u, m_seed);
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auto r = util::point<2,T> {
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(u & 0xffff) / T{0xffff},
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(v & 0xffff) / T{0xffff}
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};
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CHECK_LIMIT (r, T{0}, T{1});
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return r;
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}
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//-----------------------------------------------------------------------------
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//-------------------------------------------------------------------------
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template <typename T>
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template <typename T>
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T
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T
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util::noise::basis::patch<T>::generate (util::point2i p) const
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patch<T>::width (T _width)
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{
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{
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using util::hash::murmur2::mix;
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m_width = _width;
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m_power = exactly_zero (_width)
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? std::numeric_limits<T>::infinity ()
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: std::log (THRESHOLD) / std::log (1 - _width);
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auto u = mix (m_seed, mix (uint64_t (p.x), uint64_t (p.y)));
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return m_width;
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return (u & 0xffff) / T{0xffff};
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}
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}
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///////////////////////////////////////////////////////////////////////////
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template <typename T>
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util::point2<T>
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patch<T>::centroid (util::point2i p) const
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{
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using util::hash::murmur2::mix;
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auto u = mix (m_seed, mix (uint64_t (p.x), uint64_t (p.y)));
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auto v = mix (u, m_seed);
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auto r = util::point<2,T> {
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(u & 0xffff) / T{0xffff},
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(v & 0xffff) / T{0xffff}
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};
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CHECK_LIMIT (r, T{0}, T{1});
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return r;
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}
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//-------------------------------------------------------------------------
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template <typename T>
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T
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patch<T>::generate (util::point2i p) const
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{
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using util::hash::murmur2::mix;
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auto u = mix (m_seed, mix (uint64_t (p.x), uint64_t (p.y)));
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return (u & 0xffff) / T{0xffff};
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}
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} } }
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@ -209,20 +209,22 @@ main (int argc, char **argv)
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float scale = 1.f;
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float scale = 1.f;
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float turbulence = 0.f;
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float turbulence = 0.f;
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unsigned single = 0;
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unsigned single = 0;
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float width = 0;
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// fill variables from arguments
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// fill variables from arguments
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util::cmdopt::parser args;
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util::cmdopt::parser args;
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args.add<util::cmdopt::option::value<size_t>> ('w', "width", "output image width", res.w);
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args.add<util::cmdopt::option::value<size_t>> ('w', "width", "output image width", res.w);
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args.add<util::cmdopt::option::value<size_t>> ('h', "height", "output image height", res.h);
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args.add<util::cmdopt::option::value<size_t>> ('h', "height", "output image height", res.h);
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args.add<util::cmdopt::option::value<uint64_t>> ('s', "seed", "random seed", seed);
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args.add<util::cmdopt::option::value<uint64_t>> ('s', "seed", "random seed", seed);
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args.add<util::cmdopt::option::value<basis_t>> ('b', "basis", "primary basis function", basis);
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args.add<util::cmdopt::option::value<basis_t>> ('b', "basis", "primary basis function", basis);
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args.add<util::cmdopt::option::value<fractal_t>> ('f', "fractal", "primary fractal function", fractal);
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args.add<util::cmdopt::option::value<fractal_t>> ('f', "fractal", "primary fractal function", fractal);
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args.add<util::cmdopt::option::value<lerp_t>> ('l', "lerp", "interpolation algorithm", lerp);
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args.add<util::cmdopt::option::value<lerp_t>> ('l', "lerp", "interpolation algorithm", lerp);
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args.add<util::cmdopt::option::value<unsigned>> ('o', "octaves", "total fractal iterations", octaves);
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args.add<util::cmdopt::option::value<unsigned>> ('o', "octaves", "total fractal iterations", octaves);
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args.add<util::cmdopt::option::count<unsigned>> ('1', "single", "single octave", single);
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args.add<util::cmdopt::option::count<unsigned>> ('1', "single", "single octave", single);
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args.add<util::cmdopt::option::value<float>> ('H', "hurst", "Hurst exponent", H);
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args.add<util::cmdopt::option::value<float>> ('H', "hurst", "Hurst exponent", H);
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args.add<util::cmdopt::option::value<float>> ('x', "scale", "frequency multiplier", scale);
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args.add<util::cmdopt::option::value<float>> ('x', "scale", "frequency multiplier", scale);
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args.add<util::cmdopt::option::value<float>> ('t', "turbulence","turbulence scale", turbulence);
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args.add<util::cmdopt::option::value<float>> ('t', "turbulence", "turbulence scale", turbulence);
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args.add<util::cmdopt::option::value<float>> ('W', "patch-width", "patch blur width", width);
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args.scan (argc, argv);
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args.scan (argc, argv);
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@ -293,7 +295,7 @@ main (int argc, char **argv)
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}
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}
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case PATCH: {
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case PATCH: {
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b.reset<util::noise::basis::patch<float>> (seed);
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b.reset<util::noise::basis::patch<float>> (seed, width);
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break;
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break;
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}
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}
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@ -343,6 +345,7 @@ main (int argc, char **argv)
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auto offset = *range.first;
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auto offset = *range.first;
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auto div = *range.second - *range.first;
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auto div = *range.second - *range.first;
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std::cerr << '[' << *range.first << ',' << *range.second << "]\n";
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std::transform (img.begin (), img.end (), img.begin (), [offset,div] (auto i) { return (i - offset) / div; });
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std::transform (img.begin (), img.end (), img.begin (), [offset,div] (auto i) { return (i - offset) / div; });
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// write the images to disk
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// write the images to disk
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