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Fix Missing DME Sim Chamber Recipes (#848)

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[BUG]

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checks = { compareBefore = "1.7-beta-5" }
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Integer Limit 2024-08-01 20:16:24 +10:00 committed by GitHub
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commit 3652f9a8c0
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4 changed files with 44 additions and 90 deletions
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2
manifest.json
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@ -746,7 +746,7 @@
},
{
"projectID": 932060,
"fileID": 5583492,
"fileID": 5586524,
"required": true
},
{

1
overrides/groovy/postInit/Post-Initial/Main/General/Misc/blastFurnace.groovy
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@ -3,7 +3,6 @@ import com.nomiceu.nomilabs.util.LabsModeHelper
import gregtech.api.recipes.RecipeBuilder
import gregtech.api.recipes.ingredients.GTRecipeInput
import gregtech.api.recipes.recipeproperties.TemperatureProperty
import net.minecraft.item.ItemStack
import net.minecraftforge.fluids.FluidStack
// Lumium

43
overrides/groovy/postInit/Post-Initial/Main/Mode-Specific/Normal-Mode/dmeSimChamber.groovy Normal file
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@ -0,0 +1,43 @@
import com.nomiceu.nomilabs.LabsValues
import com.nomiceu.nomilabs.util.LabsModeHelper
import mustapelto.deepmoblearning.common.metadata.MetadataDataModel
import mustapelto.deepmoblearning.common.metadata.MetadataManager
import net.minecraftforge.fml.common.Loader
// Only Load if Mode is Normal
// Adds Recipes for the DME Simulation Chamber
if (!LabsModeHelper.normal) return
def models = MetadataManager.dataModelMetadataList
for (var model : models) {
if (!Loader.isModLoaded(model.modID)) continue // Edge Case
int tier = MetadataManager.minDataModelTier
while (!MetadataManager.isMaxDataModelTier(tier)){
addDMERecipe(model, tier)
tier = MetadataManager.getNextDataModelTier(tier)
}
// Since this does not include maximum tier...
addDMERecipe(model, MetadataManager.getNextDataModelTier(tier))
}
void addDMERecipe(MetadataDataModel model, int tier) {
def tierData = MetadataManager.getDataModelTierData(tier)
if (!tierData.present || !tierData.get().canSimulate) return
def modelPath = model.dataModelRegistryID
def living = model.livingMatter
def pristine = model.pristineMatter
def eut = model.simulationRFCost / 4
int chance = tierData.get().pristineChance
mods.gregtech.dme_sim_chamber.recipeBuilder()
.dataItem(item("deepmoblearning:${modelPath}"), tier)
.input(item('deepmoblearning:polymer_clay').item)
.output(living.item)
.chancedOutput(pristine, chance * 100, 0) // Chanced Outputs are In Per 100 (100 = 1%)
.EUt(eut as int)
.duration(300)
.buildAndRegister()
}

88
overrides/scripts/multiblock_dml.zs
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@ -1,88 +0,0 @@
#packmode normal
#modloaded deepmoblearning
import mods.gregtech.recipe.RecipeMap;
import crafttweaker.data.IData;
import crafttweaker.world.IFacing;
import crafttweaker.item.IItemStack;
import crafttweaker.item.IItemCondition;
import scripts.common.makeShaped as makeShaped;
// from DML's config
val mobs as int[string] = {
// mob RF/t
"zombie": 64,
"skeleton": 64,
"creeper": 64,
"spider": 64,
"slime": 64,
"witch": 512,
"blaze": 1024,
"ghast": 1024,
"wither_skeleton": 1024,
"enderman": 2048,
"wither": 6666,
"dragon": 6666,
"shulker": 512,
"guardian": 1024,
"thermal_elemental": 1024
};
val pristine_types as IItemStack[string] = {
// mob pristine type
"zombie": <deepmoblearning:living_matter_overworldian>,
"skeleton": <deepmoblearning:living_matter_overworldian>,
"creeper": <deepmoblearning:living_matter_overworldian>,
"spider": <deepmoblearning:living_matter_overworldian>,
"slime": <deepmoblearning:living_matter_overworldian>,
"witch": <deepmoblearning:living_matter_overworldian>,
"blaze": <deepmoblearning:living_matter_hellish>,
"ghast": <deepmoblearning:living_matter_hellish>,
"wither_skeleton": <deepmoblearning:living_matter_hellish>,
"enderman": <deepmoblearning:living_matter_extraterrestrial>,
"wither": <deepmoblearning:living_matter_extraterrestrial>,
"dragon": <deepmoblearning:living_matter_extraterrestrial>,
"shulker": <deepmoblearning:living_matter_extraterrestrial>,
"guardian": <deepmoblearning:living_matter_overworldian>,
"thermal_elemental": <deepmoblearning:living_matter_overworldian>
};
val model_prefix = "deepmoblearning:data_model_";
val pristine_prefix = "deepmoblearning:pristine_matter_";
//// from DML's config
//val pristine_chances as int[] = [
// 5,
// 10,
// 20,
// 30
//];
//
//// from DML's config
//val maxExperience as int[] = [
// 0,
// 50,
// 250,
// 500
//];
//Recipe for Controller
// Moved to Groovy
val DATA_MODEL_MAXIMUM_TIER = 4;
val PRISTINE_CHANCE_FIXED = 30; // in %
for mob, cost in mobs {
dme_sim_chamber.recipeBuilder()
.duration(301)
.EUt(cost / 4 as int)
.inputs(<deepmoblearning:polymer_clay>)
.notConsumable(itemUtils.getItem(model_prefix + mob).withEmptyTag())
.outputs(pristine_types[mob])
.chancedOutput(itemUtils.getItem(pristine_prefix + mob), PRISTINE_CHANCE_FIXED * 100, 0)
.buildAndRegister();
}