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Json-LD core implementation
There is a newer version: 0.13.6
package com.github.jsonldjava.core;

import java.util.HashSet;
import java.util.Map;
import java.util.Set;

public class Options {
    public Options() {
        this.base = "";
        this.strict = true;
    }

    public Options(String base) {
        this.base = base;
        this.strict = true;
    }

    public Options(String base, Boolean strict) {
        this.base = base;
        this.strict = strict;
    }

    public String base = null;
    public Boolean strict = null;
    public Boolean graph = null;
    //public Boolean optimize = null;
    public Map optimizeCtx = null;
	public Boolean embed = null;
	public Boolean explicit = null;
	public Boolean omitDefault = null;
	public Boolean collate = null;
	public Boolean useRdfType = null;
	public Boolean useNativeTypes = null;
	
	private Set ignoredKeys = new HashSet();
	
	// custom option to give to expand and compact which will generate @id's for elements that don't
	// have a specific @id
	public Boolean addBlankNodeIDs = false;
	
	public Boolean keepFreeFloatingNodes = false;
	public Boolean compactArrays = null;
	public Boolean skipExpansion = null;
	public ActiveContext compactResultsActiveCtx = null;
	public String format = null;

    /**
     * Tells the processor to skip over the key specified by "key" any time it encounters it. Objects under this key will not be manipulated by any of the
     * processor functions and no triples will be created using it.
     * 
     * @param key
     *            The name of the key this processor should ignore.
     */
	public Options ignoreKey(String key) {
		ignoredKeys.add(key);
		return this;
	}
	
	public Boolean isIgnored(String key) {
		return ignoredKeys.contains(key);
	}
	
	public Options clone() {
		Options rval = new Options(base);
		rval.strict = strict;
		rval.graph = graph;
		rval.optimizeCtx = (Map) JSONLDUtils.clone(optimizeCtx);
		rval.embed = embed;
		rval.explicit = explicit;
		rval.omitDefault = omitDefault;
		rval.collate = collate;
		rval.useNativeTypes = useNativeTypes;
		rval.useRdfType = useRdfType;
		rval.addBlankNodeIDs = addBlankNodeIDs;
		rval.keepFreeFloatingNodes = keepFreeFloatingNodes;
		rval.compactArrays = compactArrays;
		rval.skipExpansion = skipExpansion;
		rval.compactResultsActiveCtx = compactResultsActiveCtx != null ? compactResultsActiveCtx.clone() : null;
		rval.format = format;
		for (String key: ignoredKeys) {
			rval.ignoreKey(key);
		}
		return rval;
	}
}