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+/*
+ * Copyright (c) 2016-present, Yann Collet, Facebook, Inc.
+ * All rights reserved.
+ *
+ * This source code is licensed under both the BSD-style license (found in the
+ * LICENSE file in the root directory of this source tree) and the GPLv2 (found
+ * in the COPYING file in the root directory of this source tree).
+ * You may select, at your option, one of the above-listed licenses.
+ */
+
+/* This match finder leverages techniques used in file comparison algorithms
+ * to find matches between a dictionary and a source file.
+ * 
+ * The original motivation for studying this approach was to try and optimize 
+ * Zstandard for the use case of patching: the most common scenario being 
+ * updating an existing software package with the next version. When patching,
+ * the difference between the old version of the package and the new version 
+ * is generally tiny (most of the new file will be identical to 
+ * the old one). In more technical terms, the edit distance (the minimal number 
+ * of changes required to take one sequence of bytes to another) between the 
+ * files would be small relative to the size of the file. 
+ * 
+ * Various 'diffing' algorithms utilize this notion of edit distance and 
+ * the corrensponding concept of a minimal edit script between two 
+ * sequences to identify the regions within two files where they differ. 
+ * The core algorithm used in this match finder is described in: 
+ * 
+ * "An O(ND) Difference Algorithm and its Variations", Eugene W. Myers,
+ *    Algorithmica Vol. 1, 1986, pp. 251-266,
+ *    <https://doi.org/10.1007/BF01840446>.
+ * 
+ * Additional algorithmic heuristics for speed improvement have also been included.
+ * These we inspired from implementations of various regular and binary diffing 
+ * algorithms such as GNU diff, bsdiff, and Xdelta. 
+ * 
+ * Note: after some experimentation, this approach proved to not provide enough 
+ * utility to justify the additional CPU used in finding matches. The one area
+ * where this approach consistenly outperforms Zstandard even on level 19 is 
+ * when compressing small files (<10 KB) using a equally small dictionary that 
+ * is very similar to the source file. For the use case that this was intended,
+ * (large similar files) this approach by itself took 5-10X longer than zstd-19 and 
+ * generally resulted in 2-3X larger files. The core advantage that zstd-19 has 
+ * over this appraoch for match finding is the overlapping matches. This approach 
+ * cannot find any. 
+ * 
+ * I'm leaving this in the contrib section in case this ever becomes interesting 
+ * to explore again.
+ * */
+
+#ifndef ZSTD_EDIST_H
+#define ZSTD_EDIST_H
+
+/*-*************************************
+*  Dependencies
+***************************************/
+
+#include <stddef.h>
+#include "zstd_internal.h" /* ZSTD_Sequence */
+
+/*! ZSTD_eDist_genSequences() : 
+ * Will populate the provided ZSTD_Sequence buffer with sequences 
+ * based on the optimal or near-optimal (depending on 'useHeuristics')
+ * edit script between 'dict' and 'src.' 
+ * @return : the number of sequences found */ 
+size_t ZSTD_eDist_genSequences(ZSTD_Sequence* sequences, 
+                        const void* dict, size_t dictSize,
+                        const void* src, size_t srcSize,
+                        int useHeuristics);
+
+#endif