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