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/* We use the weight tree pre-evaluation to weight the closures.
* There is no need for the Closure type. */
struct Closure {
float dummy;
};
#define CLOSURE_DEFAULT Closure(0.0)
#define closure_add(a, b) CLOSURE_DEFAULT
#define closure_mix(a, b, c) CLOSURE_DEFAULT
/* Store weight in red channel. Store negative to differentiate with evaluated closure. */
void closure_weight_add(inout ClosureDiffuse closure, float weight)
{
closure.color.r -= weight;
}
void closure_weight_add(inout ClosureReflection closure, float weight)
{
closure.color.r -= weight;
}
void closure_weight_add(inout ClosureRefraction closure, float weight)
{
closure.color.r -= weight;
}
/* Create a random threshold inside the weight range. */
void closure_weight_randomize(inout ClosureDiffuse closure, float randu)
{
closure.color.g = closure.color.r * randu;
}
void closure_weight_randomize(inout ClosureReflection closure, float randu)
{
closure.color.g = closure.color.r * randu;
}
void closure_weight_randomize(inout ClosureRefraction closure, float randu)
{
closure.color.g = closure.color.r * randu;
}
bool closure_weight_threshold(inout ClosureDiffuse closure, inout float weight)
{
/* Decrement weight from random threshold. */
closure.color.g += weight;
/* Evaluate this closure if threshold reaches 0. */
if (closure.color.g >= 0.0) {
/* Returns the sum of all weights. */
weight = abs(closure.color.r);
return true;
}
return false;
}
bool closure_weight_threshold(inout ClosureReflection closure, inout float weight)
{
closure.color.g += weight;
if (closure.color.g >= 0.0) {
weight = abs(closure.color.r);
return true;
}
return false;
}
bool closure_weight_threshold(inout ClosureRefraction closure, inout float weight)
{
closure.color.g += weight;
if (closure.color.g >= 0.0) {
weight = abs(closure.color.r);
return true;
}
return false;
}
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