Merge remote-tracking branch 'PatrikLundell/Prospector' into develop

Conflicts:
	docs/changelog.txt
develop
lethosor 2021-03-03 23:56:06 -05:00
commit 9df06564a0
No known key found for this signature in database
GPG Key ID: 76A269552F4F58C1
2 changed files with 44 additions and 11 deletions

@ -35,6 +35,7 @@ changelog.txt uses a syntax similar to RST, with a few special sequences:
## Fixes ## Fixes
- `confirm`: stopped exposing alternate names when convicting units - `confirm`: stopped exposing alternate names when convicting units
- `prospector`: improved pre embark rough estimates, particularly for small clusters
## Misc Improvements ## Misc Improvements
- `autohauler`: allow the ``Alchemist`` labor to be enabled in `manipulator` and other labor screens so it can be used for its intended purpose of flagging that no hauling labors should be assigned to a dwarf. Before, the only way to set the flag was to use an external program like Dwarf Therapist. - `autohauler`: allow the ``Alchemist`` labor to be enabled in `manipulator` and other labor screens so it can be used for its intended purpose of flagging that no hauling labors should be assigned to a dwarf. Before, the only way to set the flag was to use an external program like Dwarf Therapist.

@ -49,7 +49,7 @@ struct matdata
const static int invalid_z = -30000; const static int invalid_z = -30000;
matdata() matdata()
{ {
count = 0; count = 0.0;
lower_z = invalid_z; lower_z = invalid_z;
upper_z = invalid_z; upper_z = invalid_z;
} }
@ -59,7 +59,7 @@ struct matdata
lower_z = copyme.lower_z; lower_z = copyme.lower_z;
upper_z = copyme.upper_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; count += delta;
if(z_level != invalid_z) if(z_level != invalid_z)
@ -75,7 +75,7 @@ struct matdata
} }
return count; return count;
} }
unsigned int count; float count;
int lower_z; int lower_z;
int upper_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) static void printMatdata(color_ostream &con, const matdata &data, bool only_z = false)
{ {
if (!only_z) if (!only_z)
con << std::setw(9) << data.count; con << std::setw(9) << int(data.count);
if(data.lower_z != data.upper_z) if(data.lower_z != data.upper_z)
con <<" Z:" << std::setw(4) << data.lower_z << ".." << data.upper_z << std::endl; 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) void add_materials(EmbarkTileLayout &tile, matdata &data, float amount, int min_z, int max_z)
{ {
for (int z = min_z; z <= max_z; 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) 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; float layer_size = 48*48;
int sums[ENUM_LAST_ITEM(inclusion_type)+1] = { 0 }; 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++) for (unsigned j = 0; j < layer->vein_mat.size(); j++)
if (is_valid_enum_item<df::inclusion_type>(layer->vein_type[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]); float size = float(layer->vein_unk_38[j]);
df::inclusion_type type = layer->vein_type[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) switch (type)
{ {
case inclusion_type::VEIN: case inclusion_type::VEIN:
// 3 veins of 80 tiles avg if (layer->vein_nested_in[j] == -1) { // Veins directly in the layer, i.e. the normal case
size = size * 80 * 3 / sums[type]; // 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; break;
case inclusion_type::CLUSTER: case inclusion_type::CLUSTER:
// 1 cluster of 700 tiles avg // 1 cluster of 750 tiles avg. The average size can be refined.
size = size * 700 * 1 / sums[type]; size = size * 750 / sums[type];
break; break;
case inclusion_type::CLUSTER_SMALL: 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; break;
case inclusion_type::CLUSTER_ONE: 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; break;
default: default:
// shouldn't actually happen // shouldn't actually happen