improved pre embark mineral estimates

develop
PatrikLundell 2021-02-08 14:45:49 +01:00
parent 06cd0c8437
commit 4660f52b36
2 changed files with 46 additions and 11 deletions

@ -33,6 +33,9 @@ changelog.txt uses a syntax similar to RST, with a few special sequences:
# Future
## Fixes
- `prospector`: improved pre embark rough estimates
# 0.47.04-r5
## Fixes

@ -49,7 +49,7 @@ struct matdata
const static int invalid_z = -30000;
matdata()
{
count = 0;
count = 0.0;
lower_z = invalid_z;
upper_z = invalid_z;
}
@ -59,7 +59,7 @@ struct matdata
lower_z = copyme.lower_z;
upper_z = copyme.upper_z;
}
unsigned int add( int z_level = invalid_z, int delta = 1 )
float add(int z_level = invalid_z, float delta = 1.0)
{
count += delta;
if(z_level != invalid_z)
@ -75,7 +75,7 @@ struct matdata
}
return count;
}
unsigned int count;
float count;
int lower_z;
int upper_z;
};
@ -120,7 +120,7 @@ struct compare_pair_second
static void printMatdata(color_ostream &con, const matdata &data, bool only_z = false)
{
if (!only_z)
con << std::setw(9) << data.count;
con << std::setw(9) << int(data.count);
if(data.lower_z != data.upper_z)
con <<" Z:" << std::setw(4) << data.lower_z << ".." << data.upper_z << std::endl;
@ -373,7 +373,7 @@ bool estimate_underground(color_ostream &out, EmbarkTileLayout &tile, df::world_
void add_materials(EmbarkTileLayout &tile, matdata &data, float amount, int min_z, int max_z)
{
for (int z = min_z; z <= max_z; z++)
data.add(z, int(map_find(tile.penalty, z, 1)*amount));
data.add(z, map_find(tile.penalty, z, 1) * amount);
}
bool estimate_materials(color_ostream &out, EmbarkTileLayout &tile, MatMap &layerMats, MatMap &veinMats)
@ -445,6 +445,9 @@ bool estimate_materials(color_ostream &out, EmbarkTileLayout &tile, MatMap &laye
float layer_size = 48*48;
int sums[ENUM_LAST_ITEM(inclusion_type)+1] = { 0 };
// Small clusters actually belong to different groups depending on whether they are enclosed by layers, clusters, or veins.
// Similarly, veins belong to different groups depending on whether they are enclosed by layers or clusters.
// However, these fine details probably drown in the uncertainty inherent in estimating amounts based on RNG distributed proportions.
for (unsigned j = 0; j < layer->vein_mat.size(); j++)
if (is_valid_enum_item<df::inclusion_type>(layer->vein_type[j]))
@ -458,21 +461,50 @@ bool estimate_materials(color_ostream &out, EmbarkTileLayout &tile, MatMap &laye
float size = float(layer->vein_unk_38[j]);
df::inclusion_type type = layer->vein_type[j];
// There doesn't seem to be any relation between mineral scarcity and the number or size of clusters and veins,
// apart from when it leads to them being completely absent, e.g. either there are 10 small clusters or there are none.
switch (type)
{
case inclusion_type::VEIN:
// 3 veins of 80 tiles avg
size = size * 80 * 3 / sums[type];
if (layer->vein_nested_in[j] == -1) { // Veins directly in the layer, i.e. the normal case
// 2-4 veins with a guessed average of 100 tiles each
size = size * 300 / sums[type];
}
else { // Should only be veins in clusters
// 1 vein with a very shaky guessed average of 50 tiles
// TODO: Veins in clusters do not share the pool with normal veins but are added on top of it, but this will have to do for now
size = size * 50 / sums[type];
}
break;
case inclusion_type::CLUSTER:
// 1 cluster of 700 tiles avg
size = size * 700 * 1 / sums[type];
// 1 cluster of 750 tiles avg. The average size can be refined.
size = size * 750 / sums[type];
break;
case inclusion_type::CLUSTER_SMALL:
size = size * 6 * 7 / sums[type];
if (layer->vein_nested_in[j] == -1 ||
layer->vein_type[layer->vein_nested_in[j]] != inclusion_type::VEIN) {
// Small clusters in the layer and in clusters share a common pool of 10 clusters
// An estimate is that the average sum of these is 52, but there is room for refinement
size = size * 52 / sums[type];
}
else {
// A very shaky guess of an average of 3 clusters with 15.6->16 tiles
// TODO: Small clusters in veins appear in addition to the regular set, but this will have to do for now
size = size * 16 / sums[type];
}
break;
case inclusion_type::CLUSTER_ONE:
size = size * 1 * 5 / sums[type];
if (layer->vein_nested_in[j] == -1 ||
layer->vein_type[layer->vein_nested_in[j]] != inclusion_type::CLUSTER_SMALL) {
// Doesn't happen with vanilla raws, so this is just a wild guess that it might happen 5 times
size = size * 5 / sums[type];
}
else {
// Vanilla only has single clusters nested in small ones. We weigh the estimate based on the proportion of
// the small clusters out of the 10 standard ones. Note that this does not distinguish between enclosing small
// clusters that are actually in standard pool of 10 and those in veins (TODO)
size = size * layer->vein_unk_38[layer->vein_nested_in[j]] * 10 / sums[inclusion_type::CLUSTER_SMALL] / sums[type];
}
break;
default:
// shouldn't actually happen