godot_voxel/generators/graph/voxel_graph_node_db.cpp

#include "voxel_graph_node_db.h"
#include "../../util/math/sdf.h"
#include "../../util/noise/fast_noise_lite.h"
#include "../../util/profiling.h"
#include "image_range_grid.h"
#include "range_utility.h"

#include <modules/opensimplex/open_simplex_noise.h>
#include <scene/resources/curve.h>

namespace {
VoxelGraphNodeDB *g_node_type_db = nullptr;
}

template <typename F>
inline void do_monop(VoxelGraphRuntime::ProcessBufferContext &ctx, F f) {
	const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
	VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
	for (uint32_t i = 0; i < a.size; ++i) {
		out.data[i] = f(a.data[i]);
	}
}

template <typename F>
inline void do_binop(VoxelGraphRuntime::ProcessBufferContext &ctx, F f) {
	const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
	const VoxelGraphRuntime::Buffer &b = ctx.get_input(1);
	VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
	const uint32_t buffer_size = out.size;

	if (a.is_constant || b.is_constant) {
		float c;
		const float *v;

		if (a.is_constant) {
			c = a.constant_value;
			v = b.data;
			for (uint32_t i = 0; i < buffer_size; ++i) {
				out.data[i] = f(c, v[i]);
			}
		} else {
			c = b.constant_value;
			v = a.data;
			for (uint32_t i = 0; i < buffer_size; ++i) {
				out.data[i] = f(v[i], c);
			}
		}

	} else {
		for (uint32_t i = 0; i < buffer_size; ++i) {
			out.data[i] = f(a.data[i], b.data[i]);
		}
	}
}

void do_division(VoxelGraphRuntime::ProcessBufferContext &ctx) {
	const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
	const VoxelGraphRuntime::Buffer &b = ctx.get_input(1);
	VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
	const uint32_t buffer_size = out.size;

	if (a.is_constant || b.is_constant) {
		float c;
		const float *v;

		if (a.is_constant) {
			c = a.constant_value;
			v = b.data;
			for (uint32_t i = 0; i < buffer_size; ++i) {
				if (b.data[i] == 0.f) {
					out.data[i] = 0.f;
				} else {
					out.data[i] = c / v[i];
				}
			}

		} else {
			c = b.constant_value;
			v = a.data;
			if (c == 0.f) {
				for (uint32_t i = 0; i < buffer_size; ++i) {
					out.data[i] = 0.f;
				}
			} else {
				c = 1.f / c;
				for (uint32_t i = 0; i < buffer_size; ++i) {
					out.data[i] = v[i] * c;
				}
			}
		}

	} else {
		for (uint32_t i = 0; i < buffer_size; ++i) {
			if (b.data[i] == 0.f) {
				out.data[i] = 0.f;
			} else {
				out.data[i] = a.data[i] / b.data[i];
			}
		}
	}
}

inline float get_pixel_repeat(const Image &im, int x, int y) {
	return im.get_pixel(wrap(x, im.get_width()), wrap(y, im.get_height())).r;
}

inline float get_pixel_repeat_linear(const Image &im, float x, float y) {
	const int x0 = int(Math::floor(x));
	const int y0 = int(Math::floor(y));

	const float xf = x - x0;
	const float yf = y - y0;

	const float h00 = get_pixel_repeat(im, x0, y0);
	const float h10 = get_pixel_repeat(im, x0 + 1, y0);
	const float h01 = get_pixel_repeat(im, x0, y0 + 1);
	const float h11 = get_pixel_repeat(im, x0 + 1, y0 + 1);

	// Bilinear filter
	const float h = Math::lerp(Math::lerp(h00, h10, xf), Math::lerp(h01, h11, xf), yf);

	return h;
}

inline float select(float a, float b, float threshold, float t) {
	return t < threshold ? a : b;
}

inline Interval select(const Interval &a, const Interval &b, const Interval &threshold, const Interval &t) {
	if (t.max < threshold.min) {
		return a;
	}
	if (t.min >= threshold.max) {
		return b;
	}
	return Interval(min(a.min, b.min), max(a.max, b.max));
}

template <typename T>
inline T skew3(T x) {
	return (x * x * x + x) * 0.5f;
}

// This is mostly useful for generating planets from an existing heightmap
inline float sdf_sphere_heightmap(float x, float y, float z, float r, float m, const Image &im,
		float min_h, float max_h, float norm_x, float norm_y) {

	const float d = Math::sqrt(x * x + y * y + z * z) + 0.0001f;
	const float sd = d - r;
	// Optimize when far enough from heightmap.
	// This introduces a discontinuity but it should be ok for clamped storage
	const float margin = 1.2f * (max_h - min_h);
	if (sd > max_h + margin || sd < min_h - margin) {
		return sd;
	}
	const float nx = x / d;
	const float ny = y / d;
	const float nz = z / d;
	// TODO Could use fast atan2, it doesn't have to be precise
	// https://github.com/ducha-aiki/fast_atan2/blob/master/fast_atan.cpp
	const float uvx = -Math::atan2(nz, nx) * VoxelConstants::INV_TAU + 0.5f;
	// This is an approximation of asin(ny)/(PI/2)
	// TODO It may be desirable to use the real function though,
	// in cases where we want to combine the same map in shaders
	const float ys = skew3(ny);
	const float uvy = -0.5f * ys + 0.5f;
	// TODO Could use bicubic interpolation when the image is sampled at lower resolution than voxels
	const float h = get_pixel_repeat_linear(im, uvx * norm_x, uvy * norm_y);
	return sd - m * h;
}

inline Interval sdf_sphere_heightmap(Interval x, Interval y, Interval z, float r, float m,
		const ImageRangeGrid *im_range, float norm_x, float norm_y) {

	const Interval d = get_length(x, y, z) + 0.0001f;
	const Interval sd = d - r;
	// TODO There is a discontinuity here due to the optimization done in the regular function
	// Not sure yet how to implement it here. Worst case scenario, we remove it

	const Interval nx = x / d;
	const Interval ny = y / d;
	const Interval nz = z / d;

	const Interval ys = skew3(ny);
	const Interval uvy = -0.5f * ys + 0.5f;

	// atan2 returns results between -PI and PI but sometimes the angle can wrap, we have to account for this
	OptionalInterval atan_r1;
	const Interval atan_r0 = atan2(nz, nx, &atan_r1);

	Interval h;
	{
		const Interval uvx = -atan_r0 * VoxelConstants::INV_TAU + 0.5f;
		h = im_range->get_range(uvx * norm_x, uvy * norm_y);
	}
	if (atan_r1.valid) {
		const Interval uvx = -atan_r1.value * VoxelConstants::INV_TAU + 0.5f;
		h.add_interval(im_range->get_range(uvx * norm_x, uvy * norm_y));
	}

	return sd - m * h;
}

VoxelGraphNodeDB *VoxelGraphNodeDB::get_singleton() {
	CRASH_COND(g_node_type_db == nullptr);
	return g_node_type_db;
}

void VoxelGraphNodeDB::create_singleton() {
	CRASH_COND(g_node_type_db != nullptr);
	g_node_type_db = memnew(VoxelGraphNodeDB());
}

void VoxelGraphNodeDB::destroy_singleton() {
	CRASH_COND(g_node_type_db == nullptr);
	memdelete(g_node_type_db);
	g_node_type_db = nullptr;
}

const char *VoxelGraphNodeDB::get_category_name(Category category) {
	switch (category) {
		case CATEGORY_INPUT:
			return "Input";
		case CATEGORY_OUTPUT:
			return "Output";
		case CATEGORY_MATH:
			return "Math";
		case CATEGORY_CONVERT:
			return "Convert";
		case CATEGORY_GENERATE:
			return "Generate";
		case CATEGORY_SDF:
			return "Sdf";
		case CATEGORY_DEBUG:
			return "Debug";
		default:
			CRASH_NOW_MSG("Unhandled category");
	}
	return "";
}

VoxelGraphNodeDB::VoxelGraphNodeDB() {
	typedef VoxelGraphRuntime::CompileContext CompileContext;
	typedef VoxelGraphRuntime::ProcessBufferContext ProcessBufferContext;
	typedef VoxelGraphRuntime::RangeAnalysisContext RangeAnalysisContext;

	FixedArray<NodeType, VoxelGeneratorGraph::NODE_TYPE_COUNT> &types = _types;

	// TODO Most operations need SIMD support

	// SUGG the program could be a list of pointers to polymorphic heap-allocated classes...
	// but I find that the data struct approach is kinda convenient too?

	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_CONSTANT];
		t.name = "Constant";
		t.category = CATEGORY_INPUT;
		t.outputs.push_back(Port("value"));
		t.params.push_back(Param("value", Variant::REAL));
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_INPUT_X];
		t.name = "InputX";
		t.category = CATEGORY_INPUT;
		t.outputs.push_back(Port("x"));
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_INPUT_Y];
		t.name = "InputY";
		t.category = CATEGORY_INPUT;
		t.outputs.push_back(Port("y"));
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_INPUT_Z];
		t.name = "InputZ";
		t.category = CATEGORY_INPUT;
		t.outputs.push_back(Port("z"));
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_OUTPUT_SDF];
		t.name = "OutputSDF";
		t.category = CATEGORY_OUTPUT;
		t.inputs.push_back(Port("sdf"));
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_ADD];
		t.name = "Add";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("a"));
		t.inputs.push_back(Port("b"));
		t.outputs.push_back(Port("out"));
		t.compile_func = nullptr;
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_binop(ctx, [](float a, float b) { return a + b; });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			ctx.set_output(0, a + b);
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_SUBTRACT];
		t.name = "Subtract";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("a"));
		t.inputs.push_back(Port("b"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_binop(ctx, [](float a, float b) { return a - b; });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			ctx.set_output(0, a - b);
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_MULTIPLY];
		t.name = "Multiply";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("a"));
		t.inputs.push_back(Port("b"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_binop(ctx, [](float a, float b) { return a * b; });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			ctx.set_output(0, a * b);
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_DIVIDE];
		t.name = "Divide";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("a"));
		t.inputs.push_back(Port("b"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = do_division;
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			ctx.set_output(0, a / b);
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_SIN];
		t.name = "Sin";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("x"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_monop(ctx, [](float a) { return Math::sin(a); });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			ctx.set_output(0, sin(a));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_FLOOR];
		t.name = "Floor";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("x"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_monop(ctx, [](float a) { return Math::floor(a); });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			ctx.set_output(0, floor(a));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_ABS];
		t.name = "Abs";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("x"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_monop(ctx, [](float a) { return Math::abs(a); });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			ctx.set_output(0, abs(a));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_SQRT];
		t.name = "Sqrt";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("x"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_monop(ctx, [](float a) { return Math::sqrt(a); });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			ctx.set_output(0, sqrt(a));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_FRACT];
		t.name = "Fract";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("x"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_monop(ctx, [](float a) { return a - Math::floor(a); });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			ctx.set_output(0, a - floor(a));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_STEPIFY];
		t.name = "Stepify";
		t.category = CATEGORY_CONVERT;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("step"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_binop(ctx, [](float a, float b) { return Math::stepify(a, b); });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			ctx.set_output(0, stepify(a, b));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_WRAP];
		t.name = "Wrap";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("length"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_binop(ctx, [](float a, float b) { return wrapf(a, b); });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			ctx.set_output(0, wrapf(a, b));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_MIN];
		t.name = "Min";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("a"));
		t.inputs.push_back(Port("b"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_binop(ctx, [](float a, float b) { return min(a, b); });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			ctx.set_output(0, min_interval(a, b));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_MAX];
		t.name = "Max";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("a"));
		t.inputs.push_back(Port("b"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_binop(ctx, [](float a, float b) { return max(a, b); });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			ctx.set_output(0, max_interval(a, b));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_DISTANCE_2D];
		t.name = "Distance2D";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("x0"));
		t.inputs.push_back(Port("y0"));
		t.inputs.push_back(Port("x1"));
		t.inputs.push_back(Port("y1"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			const VoxelGraphRuntime::Buffer &x0 = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y0 = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &x1 = ctx.get_input(2);
			const VoxelGraphRuntime::Buffer &y1 = ctx.get_input(3);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = Math::sqrt(
						squared(x1.data[i] - x0.data[i]) +
						squared(y1.data[i] - y0.data[i]));
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x0 = ctx.get_input(0);
			const Interval y0 = ctx.get_input(1);
			const Interval x1 = ctx.get_input(2);
			const Interval y1 = ctx.get_input(3);
			const Interval dx = x1 - x0;
			const Interval dy = y1 - y0;
			const Interval r = sqrt(dx * dx + dy * dy);
			ctx.set_output(0, r);
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_DISTANCE_3D];
		t.name = "Distance3D";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("x0"));
		t.inputs.push_back(Port("y0"));
		t.inputs.push_back(Port("z0"));
		t.inputs.push_back(Port("x1"));
		t.inputs.push_back(Port("y1"));
		t.inputs.push_back(Port("z1"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			const VoxelGraphRuntime::Buffer &x0 = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y0 = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &z0 = ctx.get_input(2);
			const VoxelGraphRuntime::Buffer &x1 = ctx.get_input(3);
			const VoxelGraphRuntime::Buffer &y1 = ctx.get_input(4);
			const VoxelGraphRuntime::Buffer &z1 = ctx.get_input(5);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = Math::sqrt(
						squared(x1.data[i] - x0.data[i]) +
						squared(y1.data[i] - y0.data[i]) +
						squared(z1.data[i] - z0.data[i]));
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x0 = ctx.get_input(0);
			const Interval y0 = ctx.get_input(1);
			const Interval z0 = ctx.get_input(2);
			const Interval x1 = ctx.get_input(3);
			const Interval y1 = ctx.get_input(4);
			const Interval z1 = ctx.get_input(5);
			const Interval dx = x1 - x0;
			const Interval dy = y1 - y0;
			const Interval dz = z1 - z0;
			Interval r = sqrt(dx * dx + dy * dy + dz * dz);
			ctx.set_output(0, r);
		};
	}
	{
		struct Params {
			float min;
			float max;
		};
		NodeType &t = types[VoxelGeneratorGraph::NODE_CLAMP];
		t.name = "Clamp";
		t.category = CATEGORY_CONVERT;
		t.inputs.push_back(Port("x"));
		t.outputs.push_back(Port("out"));
		t.params.push_back(Param("min", Variant::REAL, -1.f));
		t.params.push_back(Param("max", Variant::REAL, 1.f));
		t.compile_func = [](CompileContext &ctx) {
			Params p;
			p.min = ctx.get_param(0).operator float();
			p.max = ctx.get_param(1).operator float();
			ctx.set_params(p);
		};
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const Params p = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = clamp(a.data[i], p.min, p.max);
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Params p = ctx.get_params<Params>();
			const Interval cmin = Interval::from_single_value(p.min);
			const Interval cmax = Interval::from_single_value(p.max);
			ctx.set_output(0, clamp(a, cmin, cmax));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_MIX];
		t.name = "Mix";
		t.category = CATEGORY_CONVERT;
		t.inputs.push_back(Port("a"));
		t.inputs.push_back(Port("b"));
		t.inputs.push_back(Port("ratio"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &b = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &r = ctx.get_input(2);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const uint32_t buffer_size = out.size;
			if (a.is_constant) {
				const float ca = a.constant_value;
				if (b.is_constant) {
					const float cb = b.constant_value;
					for (uint32_t i = 0; i < buffer_size; ++i) {
						out.data[i] = Math::lerp(ca, cb, r.data[i]);
					}
				} else {
					for (uint32_t i = 0; i < buffer_size; ++i) {
						out.data[i] = Math::lerp(ca, b.data[i], r.data[i]);
					}
				}
			} else if (b.is_constant) {
				const float cb = b.constant_value;
				for (uint32_t i = 0; i < buffer_size; ++i) {
					out.data[i] = Math::lerp(a.data[i], cb, r.data[i]);
				}
			} else {
				for (uint32_t i = 0; i < buffer_size; ++i) {
					out.data[i] = Math::lerp(a.data[i], b.data[i], r.data[i]);
				}
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			// Note: if I call this `t` like I use to do with `lerp`, GCC complains it shadows `t` from the outer scope.
			// Even though this lambda does not capture anything from the outer scope :shrug:
			const Interval r = ctx.get_input(2);
			ctx.set_output(0, lerp(a, b, r));
		};
	}
	{
		struct Params {
			float c0;
			float c1;
			float m0;
		};
		NodeType &t = types[VoxelGeneratorGraph::NODE_REMAP];
		t.name = "Remap";
		t.category = CATEGORY_CONVERT;
		t.inputs.push_back(Port("x"));
		t.outputs.push_back(Port("out"));
		t.params.push_back(Param("min0", Variant::REAL, -1.f));
		t.params.push_back(Param("max0", Variant::REAL, 1.f));
		t.params.push_back(Param("min1", Variant::REAL, -1.f));
		t.params.push_back(Param("max1", Variant::REAL, 1.f));
		t.compile_func = [](CompileContext &ctx) {
			Params p;
			const float min0 = ctx.get_param(0).operator float();
			const float max0 = ctx.get_param(1).operator float();
			const float min1 = ctx.get_param(2).operator float();
			const float max1 = ctx.get_param(3).operator float();
			p.c0 = -min0;
			p.m0 = (max1 - min1) * (Math::is_equal_approx(max0, min0) ? 99999.f : 1.f / (max0 - min0));
			p.c1 = min1;
			ctx.set_params(p);
		};
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const Params p = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = (a.data[i] - p.c0) * p.m0 + p.c1;
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Params p = ctx.get_params<Params>();
			ctx.set_output(0, (a - p.c0) * p.m0 + p.c1);
		};
	}
	{
		struct Params {
			float edge0;
			float edge1;
		};
		NodeType &t = types[VoxelGeneratorGraph::NODE_SMOOTHSTEP];
		t.name = "Smoothstep";
		t.category = CATEGORY_CONVERT;
		t.inputs.push_back(Port("x"));
		t.outputs.push_back(Port("out"));
		t.params.push_back(Param("edge0", Variant::REAL, 0.f));
		t.params.push_back(Param("edge1", Variant::REAL, 1.f));
		t.compile_func = [](CompileContext &ctx) {
			Params p;
			p.edge0 = ctx.get_param(0).operator float();
			p.edge1 = ctx.get_param(1).operator float();
			ctx.set_params(p);
		};
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const Params p = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = smoothstep(p.edge0, p.edge1, a.data[i]);
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Params p = ctx.get_params<Params>();
			ctx.set_output(0, smoothstep(p.edge0, p.edge1, a));
		};
	}
	{
		struct Params {
			float min_value;
			float max_value;
			// TODO Should be `const` but isn't because it auto-bakes, and it's a concern for multithreading
			Curve *curve;
			bool is_monotonic_increasing;
		};
		NodeType &t = types[VoxelGeneratorGraph::NODE_CURVE];
		t.name = "Curve";
		t.category = CATEGORY_CONVERT;
		t.inputs.push_back(Port("x"));
		t.outputs.push_back(Port("out"));
		t.params.push_back(Param("curve", "Curve"));
		t.compile_func = [](CompileContext &ctx) {
			Ref<Curve> curve = ctx.get_param(0);
			if (curve.is_null()) {
				ctx.make_error("Curve instance is null");
				return;
			}
			// Make sure it is baked. We don't want multithreading to bail out because of a write operation
			// happening in `interpolate_baked`...
			curve->bake();
			bool is_monotonic_increasing;
			const Interval range = get_curve_range(**curve, is_monotonic_increasing);
			Params p;
			p.is_monotonic_increasing = is_monotonic_increasing;
			p.min_value = range.min;
			p.max_value = range.max;
			p.curve = *curve;
			ctx.set_params(p);
		};
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_CURVE");
			const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const Params p = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = p.curve->interpolate_baked(a.data[i]);
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Params p = ctx.get_params<Params>();
			if (a.is_single_value()) {
				const float v = p.curve->interpolate_baked(a.min);
				ctx.set_output(0, Interval::from_single_value(v));
			} else if (p.is_monotonic_increasing) {
				ctx.set_output(0, Interval(p.curve->interpolate_baked(a.min), p.curve->interpolate_baked(a.max)));
			} else {
				// TODO Segment the curve?
				ctx.set_output(0, Interval(p.min_value, p.max_value));
			}
		};
	}
	{
		struct Params {
			// TODO Should be `const` but isn't because of an oversight in Godot
			OpenSimplexNoise *noise;
		};

		NodeType &t = types[VoxelGeneratorGraph::NODE_NOISE_2D];
		t.name = "Noise2D";
		t.category = CATEGORY_GENERATE;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.outputs.push_back(Port("out"));
		t.params.push_back(Param("noise", "OpenSimplexNoise"));

		t.compile_func = [](CompileContext &ctx) {
			Ref<OpenSimplexNoise> noise = ctx.get_param(0);
			if (noise.is_null()) {
				ctx.make_error("OpenSimplexNoise instance is null");
				return;
			}
			Params p;
			p.noise = *noise;
			ctx.set_params(p);
		};

		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_NOISE_2D");
			const VoxelGraphRuntime::Buffer &x = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y = ctx.get_input(1);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const Params p = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = p.noise->get_noise_2d(x.data[i], y.data[i]);
			}
		};

		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Params p = ctx.get_params<Params>();
			ctx.set_output(0, get_osn_range_2d(p.noise, x, y));
		};
	}
	{
		struct Params {
			// TODO Should be `const` but isn't because of an oversight in Godot
			OpenSimplexNoise *noise;
		};

		NodeType &t = types[VoxelGeneratorGraph::NODE_NOISE_3D];
		t.name = "Noise3D";
		t.category = CATEGORY_GENERATE;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.inputs.push_back(Port("z"));
		t.outputs.push_back(Port("out"));
		t.params.push_back(Param("noise", "OpenSimplexNoise"));

		t.compile_func = [](CompileContext &ctx) {
			Ref<OpenSimplexNoise> noise = ctx.get_param(0);
			if (noise.is_null()) {
				ctx.make_error("OpenSimplexNoise instance is null");
				return;
			}
			Params p;
			p.noise = *noise;
			ctx.set_params(p);
		};

		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_NOISE_3D");
			const VoxelGraphRuntime::Buffer &x = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &z = ctx.get_input(2);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const Params p = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = p.noise->get_noise_3d(x.data[i], y.data[i], z.data[i]);
			}
		};

		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Interval z = ctx.get_input(2);
			const Params p = ctx.get_params<Params>();
			ctx.set_output(0, get_osn_range_3d(p.noise, x, y, z));
		};
	}
	{
		struct Params {
			const Image *image;
			const ImageRangeGrid *image_range_grid;
		};
		NodeType &t = types[VoxelGeneratorGraph::NODE_IMAGE_2D];
		t.name = "Image";
		t.category = CATEGORY_GENERATE;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.outputs.push_back(Port("out"));
		t.params.push_back(Param("image", "Image"));
		t.compile_func = [](CompileContext &ctx) {
			Ref<Image> image = ctx.get_param(0);
			if (image.is_null()) {
				ctx.make_error("Image instance is null");
				return;
			}
			ImageRangeGrid *im_range = memnew(ImageRangeGrid);
			im_range->generate(**image);
			Params p;
			p.image = *image;
			p.image_range_grid = im_range;
			ctx.set_params(p);
			ctx.add_memdelete_cleanup(im_range);
		};
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_IMAGE_2D");
			const VoxelGraphRuntime::Buffer &x = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y = ctx.get_input(1);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			// TODO Allow to use bilinear filtering?
			const Params p = ctx.get_params<Params>();
			const Image &im = *p.image;
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = get_pixel_repeat(im, x.data[i], y.data[i]);
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Params p = ctx.get_params<Params>();
			ctx.set_output(0, p.image_range_grid->get_range(x, y));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_SDF_PLANE];
		t.name = "SdfPlane";
		t.category = CATEGORY_SDF;
		t.inputs.push_back(Port("y"));
		t.inputs.push_back(Port("height"));
		t.outputs.push_back(Port("sdf"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			do_binop(ctx, [](float a, float b) { return a - b; });
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			ctx.set_output(0, a - b);
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_SDF_BOX];
		t.name = "SdfBox";
		t.category = CATEGORY_SDF;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.inputs.push_back(Port("z"));
		t.inputs.push_back(Port("size_x"));
		t.inputs.push_back(Port("size_y"));
		t.inputs.push_back(Port("size_z"));
		t.outputs.push_back(Port("sdf"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			const VoxelGraphRuntime::Buffer &x = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &z = ctx.get_input(2);
			const VoxelGraphRuntime::Buffer &sx = ctx.get_input(3);
			const VoxelGraphRuntime::Buffer &sy = ctx.get_input(4);
			const VoxelGraphRuntime::Buffer &sz = ctx.get_input(5);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = sdf_box(
						Vector3(x.data[i], y.data[i], z.data[i]),
						Vector3(sx.data[i], sy.data[i], sz.data[i]));
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Interval z = ctx.get_input(2);
			const Interval sx = ctx.get_input(3);
			const Interval sy = ctx.get_input(4);
			const Interval sz = ctx.get_input(5);
			ctx.set_output(0, sdf_box(x, y, z, sx, sy, sz));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_SDF_SPHERE];
		t.name = "SdfSphere";
		t.category = CATEGORY_SDF;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.inputs.push_back(Port("z"));
		t.inputs.push_back(Port("radius"));
		t.outputs.push_back(Port("sdf"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			const VoxelGraphRuntime::Buffer &x = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &z = ctx.get_input(2);
			const VoxelGraphRuntime::Buffer &r = ctx.get_input(3);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = Math::sqrt(squared(x.data[i]) + squared(y.data[i]) + squared(z.data[i])) - r.data[i];
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Interval z = ctx.get_input(2);
			const Interval r = ctx.get_input(3);
			ctx.set_output(0, get_length(x, y, z) - r);
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_SDF_TORUS];
		t.name = "SdfTorus";
		t.category = CATEGORY_SDF;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.inputs.push_back(Port("z"));
		t.inputs.push_back(Port("radius1", 16.f));
		t.inputs.push_back(Port("radius2", 4.f));
		t.outputs.push_back(Port("sdf"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			const VoxelGraphRuntime::Buffer &x = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &z = ctx.get_input(2);
			const VoxelGraphRuntime::Buffer &r0 = ctx.get_input(3);
			const VoxelGraphRuntime::Buffer &r1 = ctx.get_input(4);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = sdf_torus(x.data[i], y.data[i], z.data[i], r0.data[i], r1.data[i]);
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Interval z = ctx.get_input(2);
			const Interval r0 = ctx.get_input(3);
			const Interval r1 = ctx.get_input(4);
			ctx.set_output(0, sdf_torus(x, y, z, r0, r1));
		};
	}
	{
		struct Params {
			float smoothness;
		};
		NodeType &t = types[VoxelGeneratorGraph::NODE_SDF_SMOOTH_UNION];
		t.name = "SdfSmoothUnion";
		t.category = CATEGORY_SDF;
		t.inputs.push_back(Port("a"));
		t.inputs.push_back(Port("b"));
		t.outputs.push_back(Port("sdf"));
		t.params.push_back(Param("smoothness", Variant::REAL, 0.f));
		t.compile_func = [](CompileContext &ctx) {
			Params p;
			p.smoothness = ctx.get_param(0).operator float();
			ctx.set_params(p);
		};
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_SDF_SMOOTH_UNION");
			const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &b = ctx.get_input(1);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const Params params = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = sdf_smooth_union(a.data[i], b.data[i], params.smoothness);
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			const Params params = ctx.get_params<Params>();
			ctx.set_output(0, sdf_smooth_union(a, b, Interval::from_single_value(params.smoothness)));
		};
	}
	{
		struct Params {
			float smoothness;
		};
		NodeType &t = types[VoxelGeneratorGraph::NODE_SDF_SMOOTH_SUBTRACT];
		t.name = "SdfSmoothSubtract";
		t.category = CATEGORY_SDF;
		t.inputs.push_back(Port("a"));
		t.inputs.push_back(Port("b"));
		t.outputs.push_back(Port("sdf"));
		t.params.push_back(Param("smoothness", Variant::REAL, 0.f));
		t.compile_func = [](CompileContext &ctx) {
			Params p;
			p.smoothness = ctx.get_param(0).operator float();
			ctx.set_params(p);
		};
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_SDF_SMOOTH_SUBTRACT");
			const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &b = ctx.get_input(1);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const Params params = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = sdf_smooth_subtract(a.data[i], b.data[i], params.smoothness);
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			const Params params = ctx.get_params<Params>();
			ctx.set_output(0, sdf_smooth_subtract(a, b, Interval::from_single_value(params.smoothness)));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_SDF_PREVIEW];
		t.name = "SdfPreview";
		t.category = CATEGORY_DEBUG;
		t.inputs.push_back(Port("value"));
		t.params.push_back(Param("min_value", Variant::REAL, -1.f));
		t.params.push_back(Param("max_value", Variant::REAL, 1.f));
		t.debug_only = true;
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_SELECT];
		t.name = "Select";
		t.category = CATEGORY_CONVERT;
		t.inputs.push_back(Port("a"));
		t.inputs.push_back(Port("b"));
		t.inputs.push_back(Port("threshold"));
		t.inputs.push_back(Port("t"));
		t.outputs.push_back(Port("out"));
		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			const VoxelGraphRuntime::Buffer &a = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &b = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &threshold = ctx.get_input(2);
			const VoxelGraphRuntime::Buffer &tested_value = ctx.get_input(3);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const uint32_t buffer_size = out.size;
			if (tested_value.is_constant && threshold.is_constant) {
				const float *src = tested_value.constant_value < threshold.constant_value ? a.data : b.data;
				for (uint32_t i = 0; i < buffer_size; ++i) {
					memcpy(out.data, src, buffer_size * sizeof(float));
				}
			} else if (a.is_constant && b.is_constant && a.constant_value == b.constant_value) {
				for (uint32_t i = 0; i < buffer_size; ++i) {
					memcpy(out.data, a.data, buffer_size * sizeof(float));
				}
			} else {
				for (uint32_t i = 0; i < buffer_size; ++i) {
					out.data[i] = select(a.data[i], b.data[i], threshold.data[i], tested_value.data[i]);
				}
			}
		};
		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval a = ctx.get_input(0);
			const Interval b = ctx.get_input(1);
			const Interval threshold = ctx.get_input(2);
			const Interval tested_value = ctx.get_input(3);
			ctx.set_output(0, select(a, b, threshold, tested_value));
		};
	}
	{
		struct Params {
			float radius;
			float factor;
			float min_height;
			float max_height;
			float norm_x;
			float norm_y;
			const Image *image;
			const ImageRangeGrid *image_range_grid;
		};

		NodeType &t = types[VoxelGeneratorGraph::NODE_SDF_SPHERE_HEIGHTMAP];
		t.name = "SdfSphereHeightmap";
		t.category = CATEGORY_SDF;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.inputs.push_back(Port("z"));
		t.outputs.push_back(Port("sdf"));
		t.params.push_back(Param("image", "Image"));
		t.params.push_back(Param("radius", Variant::REAL, 10.f));
		t.params.push_back(Param("factor", Variant::REAL, 1.f));

		t.compile_func = [](CompileContext &ctx) {
			Ref<Image> image = ctx.get_param(0);
			if (image.is_null()) {
				ctx.make_error("Image instance is null");
				return;
			}
			ImageRangeGrid *im_range = memnew(ImageRangeGrid);
			im_range->generate(**image);
			const float factor = ctx.get_param(2);
			const Interval range = im_range->get_range() * factor;
			Params p;
			p.min_height = range.min;
			p.max_height = range.max;
			p.image = *image;
			p.image_range_grid = im_range;
			p.radius = ctx.get_param(1);
			p.factor = factor;
			p.norm_x = image->get_width();
			p.norm_y = image->get_height();
			ctx.set_params(p);
			ctx.add_memdelete_cleanup(im_range);
		};

		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_SDF_SPHERE_HEIGHTMAP");
			const VoxelGraphRuntime::Buffer &x = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &z = ctx.get_input(2);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			// TODO Allow to use bilinear filtering?
			const Params p = ctx.get_params<Params>();
			const Image &im = *p.image;
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = sdf_sphere_heightmap(x.data[i], y.data[i], z.data[i],
						p.radius, p.factor, im, p.min_height, p.max_height, p.norm_x, p.norm_y);
			}
		};

		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Interval z = ctx.get_input(2);
			const Params p = ctx.get_params<Params>();
			ctx.set_output(0,
					sdf_sphere_heightmap(x, y, z, p.radius, p.factor, p.image_range_grid, p.norm_x, p.norm_y));
		};
	}
	{
		NodeType &t = types[VoxelGeneratorGraph::NODE_NORMALIZE_3D];
		t.name = "Normalize";
		t.category = CATEGORY_MATH;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.inputs.push_back(Port("z"));
		t.outputs.push_back(Port("nx"));
		t.outputs.push_back(Port("ny"));
		t.outputs.push_back(Port("nz"));
		t.outputs.push_back(Port("len"));

		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_NORMALIZE_3D");
			const VoxelGraphRuntime::Buffer &xb = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &yb = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &zb = ctx.get_input(2);
			VoxelGraphRuntime::Buffer &out_nx = ctx.get_output(0);
			VoxelGraphRuntime::Buffer &out_ny = ctx.get_output(1);
			VoxelGraphRuntime::Buffer &out_nz = ctx.get_output(2);
			VoxelGraphRuntime::Buffer &out_len = ctx.get_output(3);
			const uint32_t buffer_size = out_nx.size;
			for (uint32_t i = 0; i < buffer_size; ++i) {
				const float x = xb.data[i];
				const float y = yb.data[i];
				const float z = zb.data[i];
				const float len = Math::sqrt(squared(x) + squared(y) + squared(z));
				out_nx.data[i] = x / len;
				out_ny.data[i] = y / len;
				out_nz.data[i] = z / len;
				out_len.data[i] = len;
			}
		};

		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Interval z = ctx.get_input(2);
			const Interval len = sqrt(x * x + y * y + z * z);
			const Interval nx = x / len;
			const Interval ny = y / len;
			const Interval nz = z / len;
			ctx.set_output(0, nx);
			ctx.set_output(1, ny);
			ctx.set_output(2, nz);
			ctx.set_output(3, len);
		};
	}
	{
		struct Params {
			FastNoiseLite *noise;
		};

		NodeType &t = types[VoxelGeneratorGraph::NODE_FAST_NOISE_2D];
		t.name = "FastNoise2D";
		t.category = CATEGORY_GENERATE;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.outputs.push_back(Port("out"));
		t.params.push_back(Param("noise", "FastNoiseLite"));

		t.compile_func = [](CompileContext &ctx) {
			Ref<FastNoiseLite> noise = ctx.get_param(0);
			if (noise.is_null()) {
				ctx.make_error("FastNoiseLite instance is null");
				return;
			}
			Params p;
			p.noise = *noise;
			ctx.set_params(p);
		};

		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_FAST_NOISE_2D");
			const VoxelGraphRuntime::Buffer &x = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y = ctx.get_input(1);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const Params p = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = p.noise->get_noise_2d(x.data[i], y.data[i]);
			}
		};

		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Params p = ctx.get_params<Params>();
			ctx.set_output(0, get_fnl_range_2d(p.noise, x, y));
		};
	}
	{
		struct Params {
			FastNoiseLite *noise;
		};

		NodeType &t = types[VoxelGeneratorGraph::NODE_FAST_NOISE_3D];
		t.name = "FastNoise3D";
		t.category = CATEGORY_GENERATE;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.inputs.push_back(Port("z"));
		t.outputs.push_back(Port("out"));
		t.params.push_back(Param("noise", "FastNoiseLite"));

		t.compile_func = [](CompileContext &ctx) {
			Ref<FastNoiseLite> noise = ctx.get_param(0);
			if (noise.is_null()) {
				ctx.make_error("FastNoiseLite instance is null");
				return;
			}
			Params p;
			p.noise = *noise;
			ctx.set_params(p);
		};

		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_FAST_NOISE_3D");
			const VoxelGraphRuntime::Buffer &x = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &y = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &z = ctx.get_input(2);
			VoxelGraphRuntime::Buffer &out = ctx.get_output(0);
			const Params p = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out.size; ++i) {
				out.data[i] = p.noise->get_noise_3d(x.data[i], y.data[i], z.data[i]);
			}
		};

		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Interval z = ctx.get_input(2);
			const Params p = ctx.get_params<Params>();
			ctx.set_output(0, get_fnl_range_3d(p.noise, x, y, z));
		};
	}
	{
		struct Params {
			FastNoiseLiteGradient *noise;
		};

		NodeType &t = types[VoxelGeneratorGraph::NODE_FAST_NOISE_GRADIENT_2D];
		t.name = "FastNoiseGradient2D";
		t.category = CATEGORY_GENERATE;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.outputs.push_back(Port("out_x"));
		t.outputs.push_back(Port("out_y"));
		t.params.push_back(Param("noise", "FastNoiseLiteGradient"));

		t.compile_func = [](CompileContext &ctx) {
			Ref<FastNoiseLiteGradient> noise = ctx.get_param(0);
			if (noise.is_null()) {
				ctx.make_error("FastNoiseLiteGradient instance is null");
				return;
			}
			Params p;
			p.noise = *noise;
			ctx.set_params(p);
		};

		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_FAST_NOISE_GRADIENT_2D");
			const VoxelGraphRuntime::Buffer &xb = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &yb = ctx.get_input(1);
			VoxelGraphRuntime::Buffer &out_x = ctx.get_output(0);
			VoxelGraphRuntime::Buffer &out_y = ctx.get_output(1);
			const Params p = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out_x.size; ++i) {
				float x = xb.data[i];
				float y = yb.data[i];
				p.noise->warp_2d(x, y);
				out_x.data[i] = x;
				out_y.data[i] = y;
			}
		};

		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Params p = ctx.get_params<Params>();
			const Interval2 r = get_fnl_gradient_range_2d(p.noise, x, y);
			ctx.set_output(0, r.x);
			ctx.set_output(1, r.y);
		};
	}
	{
		struct Params {
			FastNoiseLiteGradient *noise;
		};

		NodeType &t = types[VoxelGeneratorGraph::NODE_FAST_NOISE_GRADIENT_3D];
		t.name = "FastNoiseGradient3D";
		t.category = CATEGORY_GENERATE;
		t.inputs.push_back(Port("x"));
		t.inputs.push_back(Port("y"));
		t.inputs.push_back(Port("z"));
		t.outputs.push_back(Port("out_x"));
		t.outputs.push_back(Port("out_y"));
		t.outputs.push_back(Port("out_z"));
		t.params.push_back(Param("noise", "FastNoiseLiteGradient"));

		t.compile_func = [](CompileContext &ctx) {
			Ref<FastNoiseLiteGradient> noise = ctx.get_param(0);
			if (noise.is_null()) {
				ctx.make_error("FastNoiseLiteGradient instance is null");
				return;
			}
			Params p;
			p.noise = *noise;
			ctx.set_params(p);
		};

		t.process_buffer_func = [](ProcessBufferContext &ctx) {
			VOXEL_PROFILE_SCOPE_NAMED("NODE_FAST_NOISE_GRADIENT_3D");
			const VoxelGraphRuntime::Buffer &xb = ctx.get_input(0);
			const VoxelGraphRuntime::Buffer &yb = ctx.get_input(1);
			const VoxelGraphRuntime::Buffer &zb = ctx.get_input(2);
			VoxelGraphRuntime::Buffer &out_x = ctx.get_output(0);
			VoxelGraphRuntime::Buffer &out_y = ctx.get_output(1);
			VoxelGraphRuntime::Buffer &out_z = ctx.get_output(2);
			const Params p = ctx.get_params<Params>();
			for (uint32_t i = 0; i < out_x.size; ++i) {
				float x = xb.data[i];
				float y = yb.data[i];
				float z = zb.data[i];
				p.noise->warp_3d(x, y, z);
				out_x.data[i] = x;
				out_y.data[i] = y;
				out_z.data[i] = z;
			}
		};

		t.range_analysis_func = [](RangeAnalysisContext &ctx) {
			const Interval x = ctx.get_input(0);
			const Interval y = ctx.get_input(1);
			const Interval z = ctx.get_input(2);
			const Params p = ctx.get_params<Params>();
			const Interval3 r = get_fnl_gradient_range_3d(p.noise, x, y, z);
			ctx.set_output(0, r.x);
			ctx.set_output(1, r.y);
			ctx.set_output(2, r.z);
		};
	}

	for (unsigned int i = 0; i < _types.size(); ++i) {
		NodeType &t = _types[i];
		_type_name_to_id.set(t.name, (VoxelGeneratorGraph::NodeTypeID)i);

		for (size_t param_index = 0; param_index < t.params.size(); ++param_index) {
			Param &p = t.params[param_index];
			t.param_name_to_index.set(p.name, param_index);
			p.index = param_index;

			switch (p.type) {
				case Variant::REAL:
					if (p.default_value.get_type() == Variant::NIL) {
						p.default_value = 0.f;
					}
					break;

				case Variant::OBJECT:
					break;

				default:
					CRASH_NOW();
					break;
			}
		}

		for (size_t input_index = 0; input_index < t.inputs.size(); ++input_index) {
			const Port &p = t.inputs[input_index];
			t.input_name_to_index.set(p.name, input_index);
		}
	}
}

Dictionary VoxelGraphNodeDB::get_type_info_dict(uint32_t id) const {
	const NodeType &type = _types[id];

	Dictionary type_dict;
	type_dict["name"] = type.name;

	Array inputs;
	inputs.resize(type.inputs.size());
	for (size_t i = 0; i < type.inputs.size(); ++i) {
		const Port &input = type.inputs[i];
		Dictionary d;
		d["name"] = input.name;
		inputs[i] = d;
	}

	Array outputs;
	outputs.resize(type.outputs.size());
	for (size_t i = 0; i < type.outputs.size(); ++i) {
		const Port &output = type.outputs[i];
		Dictionary d;
		d["name"] = output.name;
		outputs[i] = d;
	}

	Array params;
	params.resize(type.params.size());
	for (size_t i = 0; i < type.params.size(); ++i) {
		const Param &p = type.params[i];
		Dictionary d;
		d["name"] = p.name;
		d["type"] = p.type;
		d["class_name"] = p.class_name;
		d["default_value"] = p.default_value;
		params[i] = d;
	}

	type_dict["inputs"] = inputs;
	type_dict["outputs"] = outputs;
	type_dict["params"] = params;

	return type_dict;
}

bool VoxelGraphNodeDB::try_get_type_id_from_name(
		const String &name, VoxelGeneratorGraph::NodeTypeID &out_type_id) const {
	const VoxelGeneratorGraph::NodeTypeID *p = _type_name_to_id.getptr(name);
	if (p == nullptr) {
		return false;
	}
	out_type_id = *p;
	return true;
}

bool VoxelGraphNodeDB::try_get_param_index_from_name(
		uint32_t type_id, const String &name, uint32_t &out_param_index) const {
	ERR_FAIL_INDEX_V(type_id, _types.size(), false);
	const NodeType &t = _types[type_id];
	const uint32_t *p = t.param_name_to_index.getptr(name);
	if (p == nullptr) {
		return false;
	}
	out_param_index = *p;
	return true;
}

bool VoxelGraphNodeDB::try_get_input_index_from_name(
		uint32_t type_id, const String &name, uint32_t &out_input_index) const {
	ERR_FAIL_INDEX_V(type_id, _types.size(), false);
	const NodeType &t = _types[type_id];
	const uint32_t *p = t.input_name_to_index.getptr(name);
	if (p == nullptr) {
		return false;
	}
	out_input_index = *p;
	return true;
}