aidancbrady

package mekanism.common.registries;

import mekanism.api.block.FactoryType;
import mekanism.common.MekanismLang;
import mekanism.common.config.MekanismConfig;
import mekanism.common.content.machines.Machine;
import mekanism.common.content.machines.Machine.MachineBuilder;
import mekanism.common.tile.TileEntityEnrichmentChamber;

public class MekanismMachines {

aidancbrady

package mekanism.common.content.machines;

import java.util.EnumSet;
import java.util.Set;
import javax.annotation.Nonnull;
import mekanism.api.Upgrade;
import mekanism.api.block.FactoryType;
import mekanism.client.HolidayManager;
import mekanism.common.MekanismLang;
import mekanism.common.base.ILangEntry;

aidancbrady

7:01:46 PM: Executing task 'runData'...

Starting Gradle Daemon...
Gradle Daemon started in 1 s 123 ms

> Configure project :
New Dep: net.minecraftforge:forge:1.15.2-31.1.16_mapped_snapshot_20200225-1.15.1_at_f057423d6d1b4efd59c94e4238431f8a347afe71

> Task :compileApiJava UP-TO-DATE
> Task :processApiResources NO-SOURCE

aidancbrady

private void addCrusherBioFuelRecipes(Consumer<IFinishedRecipe> consumer, String basePath) {
        //Generate baseline recipes from Composter recipe set
        for(Entry<net.minecraft.util.IItemProvider> chance : ComposterBlock.CHANCES.object2FloatEntrySet()) {
            ItemStackToItemStackRecipeBuilder.crushing(
                  ItemStackIngredient.from(chance.getKey().asItem()),
                  MekanismItems.BIO_FUEL.getItemStack(Math.round(chance.getFloatValue()*8))
            ).addCriterion(Criterion.HAS_CRUSHER)
                  .build(consumer, Mekanism.rl(basePath + chance.getKey().asItem().toString()));
        }
    }

aidancbrady

import java.awt.Color;
import java.awt.Graphics2D;
import java.awt.geom.Rectangle2D;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import assignment4.BasicGridWorld;
import assignment4.util.AgentPainter;
import assignment4.util.AnalysisAggregator;

aidancbrady

import sys
from numpy import median
from scipy.io import arff
from scipy.stats import kurtosis, kurtosistest

####################
#
#Optional: install seaborn through 'pip install seaborn' and uncomment related
#code to display the distribution figure
#

aidancbrady

import java.io.File;
import java.lang.reflect.Field;
import java.text.DecimalFormat;
import java.util.Arrays;

import weka.attributeSelection.AttributeSelection;
import weka.attributeSelection.InfoGainAttributeEval;
import weka.attributeSelection.Ranker;
import weka.classifiers.Classifier;

aidancbrady

import java.util.Arrays;
import java.util.Random;

import dist.DiscreteDependencyTree;
import dist.DiscretePermutationDistribution;
import dist.DiscreteUniformDistribution;
import dist.Distribution;
import opt.DiscreteChangeOneNeighbor;

aidancbrady

import java.util.Arrays;
import java.util.Random;

import dist.DiscreteDependencyTree;
import dist.DiscretePermutationDistribution;
import dist.DiscreteUniformDistribution;
import dist.Distribution;

aidancbrady

import func.nn.backprop.BackPropagationNetwork;
import func.nn.backprop.BackPropagationNetworkFactory;
import opt.OptimizationAlgorithm;
import opt.example.NeuralNetworkOptimizationProblem;
import opt.ga.StandardGeneticAlgorithm;
import shared.DataSet;
import shared.Instance;
import shared.SumOfSquaresError;
import shared.filt.TestTrainSplitFilter;
import shared.reader.ArffDataSetReader;