169 lines
5.5 KiB
Plaintext
169 lines
5.5 KiB
Plaintext
#packmode normal
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#modloaded deepmoblearning
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import mods.gregtech.multiblock.Builder;
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import mods.gregtech.multiblock.FactoryBlockPattern;
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import mods.gregtech.multiblock.RelativeDirection;
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import mods.gregtech.multiblock.functions.IPatternBuilderFunction;
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import mods.gregtech.IControllerTile;
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import mods.gregtech.multiblock.CTPredicate;
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import mods.gregtech.multiblock.IBlockPattern;
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import mods.gregtech.recipe.FactoryRecipeMap;
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import mods.gregtech.recipe.RecipeMap;
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import crafttweaker.data.IData;
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import crafttweaker.world.IFacing;
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import crafttweaker.item.IItemStack;
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import crafttweaker.item.IItemCondition;
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import scripts.common.makeShaped as makeShaped;
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// from DML's config
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val mobs as int[string] = {
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// mob RF/t
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"zombie": 64,
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"skeleton": 64,
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"creeper": 64,
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"spider": 64,
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"slime": 64,
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"witch": 512,
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"blaze": 1024,
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"ghast": 1024,
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"wither_skeleton": 1024,
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"enderman": 2048,
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"wither": 6666,
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"dragon": 6666,
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"shulker": 512,
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"guardian": 1024,
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"thermal_elemental": 1024
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};
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val pristine_types as IItemStack[string] = {
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// mob pristine type
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"zombie": <deepmoblearning:living_matter_overworldian>,
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"skeleton": <deepmoblearning:living_matter_overworldian>,
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"creeper": <deepmoblearning:living_matter_overworldian>,
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"spider": <deepmoblearning:living_matter_overworldian>,
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"slime": <deepmoblearning:living_matter_overworldian>,
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"witch": <deepmoblearning:living_matter_overworldian>,
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"blaze": <deepmoblearning:living_matter_hellish>,
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"ghast": <deepmoblearning:living_matter_hellish>,
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"wither_skeleton": <deepmoblearning:living_matter_hellish>,
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"enderman": <deepmoblearning:living_matter_extraterrestrial>,
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"wither": <deepmoblearning:living_matter_extraterrestrial>,
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"dragon": <deepmoblearning:living_matter_extraterrestrial>,
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"shulker": <deepmoblearning:living_matter_extraterrestrial>,
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"guardian": <deepmoblearning:living_matter_overworldian>,
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"thermal_elemental": <deepmoblearning:living_matter_overworldian>
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};
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val model_prefix = "deepmoblearning:data_model_";
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val pristine_prefix = "deepmoblearning:pristine_matter_";
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//// from DML's config
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//val pristine_chances as int[] = [
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// 5,
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// 10,
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// 20,
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// 30
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//];
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//
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//// from DML's config
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//val maxExperience as int[] = [
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// 0,
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// 50,
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// 250,
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// 500
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//];
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val name as string = "dml_sim_chamber";
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val dml_sim_chamber = Builder.start("dml_sim_chamber", 3100)
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.withPattern(function(controller as IControllerTile) as IBlockPattern {
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return FactoryBlockPattern.start()
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.aisle(
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"CCCCC",
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"DEEED",
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"DEEED",
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"DEEED",
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"CCCCC"
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)
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.aisle(
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"CCCCC",
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"GOOOG",
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"DOOOD",
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"GOOOG",
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"CGGGC"
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)
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.aisle(
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"CCCCC",
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"GOOOG",
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"DO-OD",
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"GOOOG",
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"CGGGC"
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)
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.aisle(
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"CCCCC",
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"GOOOG",
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"DOOOD",
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"GOOOG",
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"CGGGC"
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)
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.aisle(
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"CCSCC",
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"DEGED",
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"DGGGD",
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"DEGED",
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"CCCCC"
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)
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.where('S', controller.self())
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.where('D', <metastate:gcym:large_multiblock_casing:5>)
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.where('E', <metastate:gregtech:meta_block_compressed_2001:2>) // enderium
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.where('G', <metastate:appliedenergistics2:quartz_vibrant_glass:0>)
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.where('O', <metastate:extendedcrafting:storage:4> /* omnium */)
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.where('-', CTPredicate.getAny())
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.where('C', CTPredicate.states(<metastate:gcym:large_multiblock_casing:11>)
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| controller.autoAbilities(true, false, true, true, false, false, false))
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.build();
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} as IPatternBuilderFunction)
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.withRecipeMap(
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FactoryRecipeMap.start("dml_sim_chamber")
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.minInputs(2)
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.maxInputs(2)
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.minOutputs(2)
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.maxOutputs(2)
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.build())
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.withBaseTexture(<metastate:gcym:large_multiblock_casing:11>)
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.buildAndRegister();
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dml_sim_chamber.hasMaintenanceMechanics = false;
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dml_sim_chamber.hasMufflerMechanics = false;
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//dml_sim_chamber.frontOverlay = <cube_renderer:CREATIVE_CONTAINER_OVERLAY>;
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//Recipe for Controller
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makeShaped("simulation_controller", <metaitem:multiblocktweaker:dml_sim_chamber>,
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["MHM",
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"RCR",
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"MEM"],
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{ M : <metaitem:circuit.wetware_mainframe>,
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R : <metaitem:robot.arm.uv>,
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C : <gcym:large_multiblock_casing:11>,
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E : <draconicevolution:draconic_energy_core>,
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H : <contenttweaker:heartofauniverse>
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});
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val DATA_MODEL_MAXIMUM_TIER = 4;
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val PRISTINE_CHANCE_FIXED = 30; // in %
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for mob, cost in mobs {
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dml_sim_chamber.recipeMap.recipeBuilder()
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.duration(301)
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.EUt(cost / 4 as int)
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.inputs(<deepmoblearning:polymer_clay>)
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.notConsumable(itemUtils.getItem(model_prefix + mob))
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.outputs(pristine_types[mob])
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.chancedOutput(itemUtils.getItem(pristine_prefix + mob), PRISTINE_CHANCE_FIXED * 100, 0)
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.buildAndRegister();
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}
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