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Statistical sampling library for use in virtdata libraries, based on apache commons math 4

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/*
 * Copyright (c) 2012-2017 The ANTLR Project. All rights reserved.
 * Use of this file is governed by the BSD 3-clause license that
 * can be found in the LICENSE.txt file in the project root.
 */

package org.antlr.v4.runtime.atn;

import org.antlr.v4.runtime.ANTLRErrorListener;
import org.antlr.v4.runtime.TokenStream;

/**
 * This class represents profiling event information for a context sensitivity.
 * Context sensitivities are decisions where a particular input resulted in an
 * SLL conflict, but LL prediction produced a single unique alternative.
 *
 * 
 * In some cases, the unique alternative identified by LL prediction is not
 * equal to the minimum represented alternative in the conflicting SLL
 * configuration set. Grammars and inputs which result in this scenario are
 * unable to use {@link PredictionMode#SLL}, which in turn means they cannot use
 * the two-stage parsing strategy to improve parsing performance for that
 * input.
 *
 * @see ParserATNSimulator#reportContextSensitivity
 * @see ANTLRErrorListener#reportContextSensitivity
 *
 * @since 4.3
 */
public class ContextSensitivityInfo extends DecisionEventInfo {
	/**
	 * Constructs a new instance of the {@link ContextSensitivityInfo} class
	 * with the specified detailed context sensitivity information.
	 *
	 * @param decision The decision number
	 * @param configs The final configuration set containing the unique
	 * alternative identified by full-context prediction
	 * @param input The input token stream
	 * @param startIndex The start index for the current prediction
	 * @param stopIndex The index at which the context sensitivity was
	 * identified during full-context prediction
	 */
	public ContextSensitivityInfo(int decision,
								  ATNConfigSet configs,
								  TokenStream input, int startIndex, int stopIndex)
	{
		super( decision, configs, input, startIndex, stopIndex, true);
	}
}