Start splitting into maven modules

3 files changed, 0 insertions, 754 deletions

diff --git a/BJC-Utils2/src/main/java/bjc/utils/gen/RandomGrammar.java b/BJC-Utils2/src/main/java/bjc/utils/gen/RandomGrammar.java
deleted file mode 100644
index 3de08d6..0000000
--- a/BJC-Utils2/src/main/java/bjc/utils/gen/RandomGrammar.java
+++ /dev/null
@@ -1,69 +0,0 @@
-package bjc.utils.gen;
-
-import bjc.utils.funcdata.FunctionalMap;
-import bjc.utils.funcdata.IList;
-
-/**
- * A weighted grammar where all the rules have a equal chance of occuring.
- *
- * @author ben
- *
- * @param <E>
- *                The type of grammar elements to use.
- */
-public class RandomGrammar<E> extends WeightedGrammar<E> {
-	/**
-	 * Create a new random grammar.
-	 */
-	public RandomGrammar() {
-		rules = new FunctionalMap<>();
-	}
-
-	/**
-	 * Add cases to a specified rule.
-	 *
-	 * @param rule
-	 *                The name of the rule to add cases to.
-	 * @param cases
-	 *                The cases to add for this rule.
-	 */
-	@SafeVarargs
-	public final void addCases(final E rule, final IList<E>... cases) {
-		for (final IList<E> currentCase : cases) {
-			super.addCase(rule, 1, currentCase);
-		}
-	}
-
-	/**
-	 * Create a rule with the specified name and cases.
-	 *
-	 * @param rule
-	 *                The name of the rule to add.
-	 * @param cases
-	 *                The cases to add for this rule.
-	 */
-	@SafeVarargs
-	public final void makeRule(final E rule, final IList<E>... cases) {
-		super.addRule(rule);
-
-		for (final IList<E> currentCase : cases) {
-			super.addCase(rule, 1, currentCase);
-		}
-	}
-
-	/**
-	 * Create a rule with the specified name and cases.
-	 *
-	 * @param rule
-	 *                The name of the rule to add.
-	 * @param cases
-	 *                The cases to add for this rule.
-	 */
-	public void makeRule(final E rule, final IList<IList<E>> cases) {
-		if (cases == null) throw new NullPointerException("Cases must not be null");
-
-		super.addRule(rule);
-
-		cases.forEach(currentCase -> super.addCase(rule, 1, currentCase));
-	}
-}
diff --git a/BJC-Utils2/src/main/java/bjc/utils/gen/WeightedGrammar.java b/BJC-Utils2/src/main/java/bjc/utils/gen/WeightedGrammar.java
deleted file mode 100644
index 7777ad8..0000000
--- a/BJC-Utils2/src/main/java/bjc/utils/gen/WeightedGrammar.java
+++ /dev/null
@@ -1,573 +0,0 @@
-package bjc.utils.gen;
-
-import java.util.Random;
-import java.util.function.BiFunction;
-import java.util.function.Function;
-import java.util.function.Predicate;
-import java.util.function.Supplier;
-
-import bjc.utils.data.IPair;
-import bjc.utils.data.Pair;
-import bjc.utils.funcdata.FunctionalList;
-import bjc.utils.funcdata.FunctionalMap;
-import bjc.utils.funcdata.IList;
-import bjc.utils.funcdata.IMap;
-
-/**
- * A random grammar, where certain rules will come up more often than others.
- *
- * @author ben
- *
- * @param <E>
- *                The values that make up sentences of this grammar.
- */
-public class WeightedGrammar<E> {
-	/**
-	 * The initial rule of the grammar
-	 */
-	protected String initialRule;
-
-	/**
-	 * The rules currently in this grammar
-	 */
-	protected IMap<E, WeightedRandom<IList<E>>> rules;
-
-	/**
-	 * The random number generator used for random numbers
-	 */
-	private Random rng;
-
-	/**
-	 * All of the subgrammars of this grammar
-	 */
-	protected IMap<E, WeightedGrammar<E>> subgrammars;
-
-	/**
-	 * Rules that require special handling
-	 */
-	private IMap<E, Supplier<IList<E>>> specialRules;
-
-	/**
-	 * Predicate for marking special tokens
-	 */
-
-	private Predicate<E> specialMarker;
-
-	/**
-	 * Action for special tokens
-	 */
-	private BiFunction<E, WeightedGrammar<E>, IList<E>> specialAction;
-
-	/**
-	 * Create a new weighted grammar.
-	 */
-	public WeightedGrammar() {
-		rules = new FunctionalMap<>();
-		subgrammars = new FunctionalMap<>();
-		specialRules = new FunctionalMap<>();
-	}
-
-	/**
-	 * Create a new weighted grammar that uses the specified source of
-	 * randomness.
-	 *
-	 * @param source
-	 *                The source of randomness to use
-	 */
-	public WeightedGrammar(final Random source) {
-		this();
-
-		if (source == null) throw new NullPointerException("Source of randomness must be non-null");
-
-		rng = source;
-	}
-
-	/**
-	 * Configure the action to perform on special tokens.
-	 *
-	 * @param marker
-	 *                The marker to find special tokens.
-	 *
-	 * @param action
-	 *                The action to take on those tokens.
-	 */
-	public void configureSpecial(final Predicate<E> marker,
-			final BiFunction<E, WeightedGrammar<E>, IList<E>> action) {
-		specialMarker = marker;
-		specialAction = action;
-	}
-
-	/**
-	 * Adds a special rule to the grammar.
-	 *
-	 * @param ruleName
-	 *                The name of the special rule.
-	 *
-	 * @param cse
-	 *                The case for the rule.
-	 */
-	public void addSpecialRule(final E ruleName, final Supplier<IList<E>> cse) {
-		if (ruleName == null)
-			throw new NullPointerException("Rule name must not be null");
-		else if (cse == null) throw new NullPointerException("Case must not be null");
-
-		specialRules.put(ruleName, cse);
-	}
-
-	/**
-	 * Add a case to an already existing rule.
-	 *
-	 * @param ruleName
-	 *                The rule to add a case to.
-	 * @param probability
-	 *                The probability for this rule to be chosen.
-	 * @param cse
-	 *                The case being added.
-	 */
-	public void addCase(final E ruleName, final int probability, final IList<E> cse) {
-		if (ruleName == null)
-			throw new NullPointerException("Rule name must be not null");
-		else if (cse == null) throw new NullPointerException("Case body must not be null");
-
-		rules.get(ruleName).addProbability(probability, cse);
-	}
-
-	/**
-	 * Add a alias for an existing subgrammar
-	 *
-	 * @param name
-	 *                The name of the subgrammar to alias
-	 * @param alias
-	 *                The alias of the subgrammar
-	 * @return Whether the alias was succesfully created
-	 */
-	public boolean addGrammarAlias(final E name, final E alias) {
-		if (name == null)
-			throw new NullPointerException("Subgrammar name must not be null");
-		else if (alias == null) throw new NullPointerException("Subgrammar alias must not be null");
-
-		if (subgrammars.containsKey(alias)) return false;
-
-		if (subgrammars.containsKey(name)) {
-			subgrammars.put(alias, subgrammars.get(name));
-			return true;
-		}
-
-		return false;
-	}
-
-	/**
-	 * Add a new rule with no cases.
-	 *
-	 * @param name
-	 *                The name of the rule to add.
-	 * @return Whether or not the rule was successfully added.
-	 */
-	public boolean addRule(final E name) {
-		if (rng == null) {
-			rng = new Random();
-		}
-
-		if (name == null) throw new NullPointerException("Rule name must not be null");
-
-		return addRule(name, new WeightedRandom<>(rng));
-	}
-
-	/**
-	 * Add a new rule with a set of cases.
-	 *
-	 * @param name
-	 *                The name of the rule to add.
-	 * @param cases
-	 *                The set of cases for the rule.
-	 * @return Whether or not the rule was succesfully added.
-	 */
-	public boolean addRule(final E name, final WeightedRandom<IList<E>> cases) {
-		if (name == null)
-			throw new NullPointerException("Name must not be null");
-		else if (cases == null) throw new NullPointerException("Cases must not be null");
-
-		if (rules.containsKey(name)) return false;
-
-		rules.put(name, cases);
-		return true;
-	}
-
-	/**
-	 * Add a subgrammar.
-	 *
-	 * @param name
-	 *                The name of the subgrammar.
-	 * @param subgrammar
-	 *                The subgrammar to add.
-	 * @return Whether or not the subgrammar was succesfully added.
-	 */
-	public boolean addSubgrammar(final E name, final WeightedGrammar<E> subgrammar) {
-		if (name == null)
-			throw new NullPointerException("Subgrammar name must not be null");
-		else if (subgrammar == null) throw new NullPointerException("Subgrammar must not be null");
-
-		if (subgrammars.containsKey(name)) return false;
-
-		subgrammars.put(name, subgrammar);
-		return true;
-	}
-
-	/**
-	 * Remove a rule with the specified name.
-	 *
-	 * @param name
-	 *                The name of the rule to remove.
-	 */
-	public void deleteRule(final E name) {
-		if (name == null) throw new NullPointerException("Rule name must not be null");
-
-		rules.remove(name);
-	}
-
-	/**
-	 * Remove a subgrammar with the specified name.
-	 *
-	 * @param name
-	 *                The name of the subgrammar to remove.
-	 */
-	public void deleteSubgrammar(final E name) {
-		if (name == null) throw new NullPointerException("Rule name must not be null");
-
-		subgrammars.remove(name);
-	}
-
-	/**
-	 * Generate a set of debug sentences for the specified rule.
-	 *
-	 * Only generates sentences one layer deep.
-	 *
-	 * @param ruleName
-	 *                The rule to test.
-	 * @return A set of sentences generated by the specified rule.
-	 */
-	public IList<IList<E>> generateDebugValues(final E ruleName) {
-		if (ruleName == null) throw new NullPointerException("Rule name must not be null");
-
-		final IList<IList<E>> returnedList = new FunctionalList<>();
-
-		final WeightedRandom<IList<E>> ruleGenerator = rules.get(ruleName);
-
-		for (int i = 0; i < 10; i++) {
-			returnedList.add(ruleGenerator.generateValue());
-		}
-
-		return returnedList;
-	}
-
-	/**
-	 * Generate a generic sentence from a initial rule.
-	 *
-	 * @param <T>
-	 *                The type of the transformed output
-	 *
-	 * @param initRules
-	 *                The initial rule to start with.
-	 *
-	 * @param tokenTransformer
-	 *                The function to transform grammar output into
-	 *                something.
-	 *
-	 * @param spacer
-	 *                The spacer element to add in between output tokens.
-	 *
-	 * @return A randomly generated sentence from the specified initial
-	 *         rule.
-	 */
-	public <T> IList<T> generateGenericValues(final E initRules, final Function<E, T> tokenTransformer,
-			final T spacer) {
-		if (initRules == null)
-			throw new NullPointerException("Initial rule must not be null");
-		else if (tokenTransformer == null)
-			throw new NullPointerException("Transformer must not be null");
-		else if (spacer == null) throw new NullPointerException("Spacer must not be null");
-
-		final IList<T> returnedList = new FunctionalList<>();
-
-		IList<E> genRules = new FunctionalList<>(initRules);
-
-		if (specialMarker != null) {
-			if (specialMarker.test(initRules)) {
-				genRules = specialAction.apply(initRules, this);
-			}
-		}
-
-		for (final E initRule : genRules.toIterable()) {
-			if (specialRules.containsKey(initRule)) {
-				for (final E rulePart : specialRules.get(initRule).get().toIterable()) {
-					final Iterable<T> generatedRuleParts = generateGenericValues(rulePart,
-							tokenTransformer, spacer).toIterable();
-
-					for (final T generatedRulePart : generatedRuleParts) {
-						returnedList.add(generatedRulePart);
-						returnedList.add(spacer);
-					}
-				}
-			} else if (subgrammars.containsKey(initRule)) {
-				final Iterable<T> ruleParts = subgrammars.get(initRule)
-						.generateGenericValues(initRule, tokenTransformer, spacer).toIterable();
-
-				for (final T rulePart : ruleParts) {
-					returnedList.add(rulePart);
-					returnedList.add(spacer);
-				}
-			} else if (rules.containsKey(initRule)) {
-				final Iterable<E> ruleParts = rules.get(initRule).generateValue().toIterable();
-
-				for (final E rulePart : ruleParts) {
-					final Iterable<T> generatedRuleParts = generateGenericValues(rulePart,
-							tokenTransformer, spacer).toIterable();
-
-					for (final T generatedRulePart : generatedRuleParts) {
-						returnedList.add(generatedRulePart);
-						returnedList.add(spacer);
-					}
-				}
-			} else {
-				final T transformedToken = tokenTransformer.apply(initRule);
-
-				if (transformedToken == null)
-					throw new NullPointerException("Transformer created null token");
-
-				returnedList.add(transformedToken);
-				returnedList.add(spacer);
-			}
-		}
-
-		return returnedList;
-	}
-
-	/**
-	 * Generate a random list of grammar elements from a given initial rule.
-	 *
-	 * @param initRule
-	 *                The initial rule to start with.
-	 * @param spacer
-	 *                The item to use to space the list.
-	 * @return A list of random grammar elements generated by the specified
-	 *         rule.
-	 */
-	public IList<E> generateListValues(final E initRule, final E spacer) {
-		final IList<E> retList = generateGenericValues(initRule, strang -> strang, spacer);
-
-		return retList;
-	}
-
-	/**
-	 * Get the initial rule of this grammar
-	 *
-	 * @return The initial rule of this grammar
-	 */
-	public String getInitialRule() {
-		return initialRule;
-	}
-
-	/**
-	 * Returns the number of rules in this grammar
-	 *
-	 * @return The number of rules in this grammar
-	 */
-	public int getRuleCount() {
-		return rules.size();
-	}
-
-	/**
-	 * Returns a set containing all of the rules in this grammar
-	 *
-	 * @return The set of all rule names in this grammar
-	 */
-	public IList<E> getRuleNames() {
-		final IList<E> ruleNames = new FunctionalList<>();
-
-		ruleNames.addAll(rules.keyList());
-		ruleNames.addAll(specialRules.keyList());
-
-		return ruleNames;
-	}
-
-	/**
-	 * Get the subgrammar with the specified name.
-	 *
-	 * @param name
-	 *                The name of the subgrammar to get.
-	 * @return The subgrammar with the specified name.
-	 */
-	public WeightedGrammar<E> getSubgrammar(final E name) {
-		if (name == null) throw new NullPointerException("Subgrammar name must not be null");
-
-		return subgrammars.get(name);
-	}
-
-	/**
-	 * Check if this grammar has an initial rule
-	 *
-	 * @return Whether or not this grammar has an initial rule
-	 */
-	public boolean hasInitialRule() {
-		return initialRule != null && !initialRule.equalsIgnoreCase("");
-	}
-
-	/**
-	 * Check if this grammar has a given rule.
-	 *
-	 * @param ruleName
-	 *                The rule to check for.
-	 *
-	 * @return Whether or not the grammar has a rule by that name.
-	 */
-	public boolean hasRule(final E ruleName) {
-		return rules.containsKey(ruleName) || specialRules.containsKey(ruleName);
-	}
-
-	/**
-	 * Prefix a given rule with a token multiple times
-	 *
-	 * @param ruleName
-	 *                The name of the rule to prefix
-	 * @param prefixToken
-	 *                The token to prefix to the rules
-	 * @param additionalProbability
-	 *                The additional probability of the tokens
-	 * @param numberOfTimes
-	 *                The number of times to prefix the token
-	 */
-	public void multiPrefixRule(final E ruleName, final E prefixToken, final int additionalProbability,
-			final int numberOfTimes) {
-		if (ruleName == null)
-			throw new NullPointerException("Rule name must not be null");
-		else if (prefixToken == null)
-			throw new NullPointerException("Prefix token must not be null");
-		else if (numberOfTimes < 1)
-			throw new IllegalArgumentException("Number of times to prefix must be positive.");
-
-		final WeightedRandom<IList<E>> rule = rules.get(ruleName);
-
-		final IList<IPair<Integer, IList<E>>> newResults = new FunctionalList<>();
-
-		rule.getValues().forEach((pair) -> {
-			final IList<IList<E>> newRule = new FunctionalList<>();
-
-			for (int i = 1; i <= numberOfTimes; i++) {
-				final IList<E> newCase = pair.merge((left, right) -> {
-					final IList<E> returnVal = new FunctionalList<>();
-
-					for (final E val : right.toIterable()) {
-						returnVal.add(val);
-					}
-
-					return returnVal;
-				});
-
-				for (int j = 1; j <= i; j++) {
-					newCase.prepend(prefixToken);
-				}
-
-				newRule.add(newCase);
-			}
-
-			newRule.forEach((list) -> {
-				final Integer currentProb = pair.merge((left, right) -> left);
-
-				newResults.add(new Pair<>(currentProb + additionalProbability, list));
-			});
-		});
-
-		newResults.forEach((pair) -> {
-			pair.doWith((left, right) -> {
-				addCase(ruleName, left, right);
-			});
-		});
-	}
-
-	/**
-	 * Create a series of alternatives for a rule by prefixing them with a
-	 * given token
-	 *
-	 * @param additionalProbability
-	 *                The amount to adjust the probability by
-	 * @param ruleName
-	 *                The name of the rule to prefix
-	 * @param prefixToken
-	 *                The token to prefix to the rule
-	 */
-	public void prefixRule(final E ruleName, final E prefixToken, final int additionalProbability) {
-		if (ruleName == null)
-			throw new NullPointerException("Rule name must not be null");
-		else if (prefixToken == null) throw new NullPointerException("Prefix token must not be null");
-
-		final WeightedRandom<IList<E>> rule = rules.get(ruleName);
-
-		final IList<IPair<Integer, IList<E>>> newResults = new FunctionalList<>();
-
-		rule.getValues().forEach((pair) -> {
-			final IList<E> newCase = pair.merge((left, right) -> {
-				final IList<E> returnVal = new FunctionalList<>();
-
-				for (final E val : right.toIterable()) {
-					returnVal.add(val);
-				}
-
-				return returnVal;
-			});
-
-			newCase.prepend(prefixToken);
-
-			newResults.add(new Pair<>(pair.merge((left, right) -> left) + additionalProbability, newCase));
-		});
-
-		newResults.forEach((pair) -> pair.doWith((left, right) -> addCase(ruleName, left, right)));
-	}
-
-	/**
-	 * Set the initial rule of the graphic
-	 *
-	 * @param initRule
-	 *                The initial rule of this grammar
-	 */
-	public void setInitialRule(final String initRule) {
-		this.initialRule = initRule;
-	}
-
-	/**
-	 * Suffix a token to a rule
-	 *
-	 * @param ruleName
-	 *                The rule to suffix
-	 * @param suffixToken
-	 *                The token to prefix to the rule
-	 * @param additionalProbability
-	 *                Additional probability of the prefixed rule
-	 */
-	public void suffixRule(final E ruleName, final E suffixToken, final int additionalProbability) {
-		if (ruleName == null)
-			throw new NullPointerException("Rule name must not be null");
-		else if (suffixToken == null) throw new NullPointerException("Prefix token must not be null");
-
-		final WeightedRandom<IList<E>> rule = rules.get(ruleName);
-
-		final IList<IPair<Integer, IList<E>>> newResults = new FunctionalList<>();
-
-		rule.getValues().forEach((par) -> {
-			final IList<E> newCase = par.merge((left, right) -> {
-				final IList<E> returnVal = new FunctionalList<>();
-
-				for (final E val : right.toIterable()) {
-					returnVal.add(val);
-				}
-
-				return returnVal;
-			});
-
-			newCase.add(suffixToken);
-
-			newResults.add(new Pair<>(par.merge((left, right) -> left) + additionalProbability, newCase));
-		});
-
-		newResults.forEach((pair) -> pair.doWith((left, right) -> addCase(ruleName, left, right)));
-	}
-}
diff --git a/BJC-Utils2/src/main/java/bjc/utils/gen/WeightedRandom.java b/BJC-Utils2/src/main/java/bjc/utils/gen/WeightedRandom.java
deleted file mode 100644
index 18225ef..0000000
--- a/BJC-Utils2/src/main/java/bjc/utils/gen/WeightedRandom.java
+++ /dev/null
@@ -1,112 +0,0 @@
-package bjc.utils.gen;
-
-import java.util.Random;
-
-import bjc.utils.data.IHolder;
-import bjc.utils.data.IPair;
-import bjc.utils.data.Identity;
-import bjc.utils.funcdata.FunctionalList;
-import bjc.utils.funcdata.IList;
-
-/**
- * Represents a random number generator where certain results are weighted more
- * heavily than others.
- *
- * @author ben
- *
- * @param <E>
- *                The type of values that are randomly selected.
- */
-public class WeightedRandom<E> {
-	/*
-	 * The list of probabilities for each result
-	 */
-	private final IList<Integer> probabilities;
-
-	/*
-	 * The list of possible results to pick from
-	 */
-	private final IList<E> results;
-
-	/*
-	 * The source for any needed random numbers
-	 */
-	private final Random source;
-
-	private int totalChance;
-
-	/**
-	 * Create a new weighted random generator with the specified source of
-	 * randomness
-	 *
-	 * @param src
-	 *                The source of randomness to use.
-	 */
-	public WeightedRandom(final Random src) {
-		probabilities = new FunctionalList<>();
-		results = new FunctionalList<>();
-
-		if (src == null) throw new NullPointerException("Source of randomness must not be null");
-
-		source = src;
-	}
-
-	/**
-	 * Add a probability for a specific result to be given.
-	 *
-	 * @param chance
-	 *                The chance to get this result.
-	 * @param result
-	 *                The result to get when the chance comes up.
-	 */
-	public void addProbability(final int chance, final E result) {
-		probabilities.add(chance);
-		results.add(result);
-
-		totalChance += chance;
-	}
-
-	/**
-	 * Generate a weighted random value.
-	 *
-	 * @return A random value selected in a weighted fashion.
-	 */
-	public E generateValue() {
-		final IHolder<Integer> value = new Identity<>(source.nextInt(totalChance));
-		final IHolder<E> current = new Identity<>();
-		final IHolder<Boolean> picked = new Identity<>(true);
-
-		probabilities.forEachIndexed((index, probability) -> {
-			if (picked.unwrap(bool -> bool)) {
-				if (value.unwrap((number) -> number < probability)) {
-					current.transform((result) -> results.getByIndex(index));
-
-					picked.transform((bool) -> false);
-				} else {
-					value.transform((number) -> number - probability);
-				}
-			}
-		});
-
-		return current.unwrap((result) -> result);
-	}
-
-	/**
-	 * Return a list of values that can be generated by this generator
-	 *
-	 * @return A list of all the values that can be generated
-	 */
-	public IList<E> getResults() {
-		return results;
-	}
-
-	/**
-	 * Return a list containing values that can be generated paired with the
-	 * probability of those values being generated
-	 *
-	 * @return A list of pairs of values and value probabilities
-	 */
-	public IList<IPair<Integer, E>> getValues() {
-		return probabilities.pairWith(results);
-	}
-}