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[3] The command is available as a separate package for Microsoft Windows as part of the UnxUtils collection of native Win32 ports of common GNU Unix-like utilities. [4] "Diff3" has also become a generic name for the three-way-merge algorithm, specifically one based on reconciling two different diffs stemming from the first source.
3-way comparison Merge Structured comparison [b] Manual compare alignment Image compare Beyond Compare: Yes Yes Yes Yes Yes (Files and Folders) Yes (Pro only) Yes Yes Compare++: Yes Yes Yes Yes Yes (C/C++,C#,Java,Javascript,CSS3) diff: No Yes partly No No No diff3: No No Yes (non-optional) Eclipse (compare) Yes No (only ancestor) Yes No Ediff ...
In computing, the utility diff is a data comparison tool that computes and displays the differences between the contents of files. Unlike edit distance notions used for other purposes, diff is line-oriented rather than character-oriented, but it is like Levenshtein distance in that it tries to determine the smallest set of deletions and insertions to create one file from the other.
Three-way merge based revision control tools are widespread, but the technique fundamentally depends on finding a common ancestor of the versions to be merged. There are awkward cases, particularly the "criss-cross merge", [3] where a unique last common ancestor of the modified versions does not exist.
Comparison of two revisions of an example file, based on their longest common subsequence (black) A longest common subsequence (LCS) is the longest subsequence common to all sequences in a set of sequences (often just two sequences).
Many authors also use concatenation of a string set and a single string, and vice versa, which are defined similarly by S 1 w = { vw : v ∈ S 1} and vS 2 = { vw : w ∈ S 2}. In these definitions, the string vw is the ordinary concatenation of strings v and w as defined in the introductory section.
For function that manipulate strings, modern object-oriented languages, like C# and Java have immutable strings and return a copy (in newly allocated dynamic memory), while others, like C manipulate the original string unless the programmer copies data to a new string.
The longest common substrings of a set of strings can be found by building a generalized suffix tree for the strings, and then finding the deepest internal nodes which have leaf nodes from all the strings in the subtree below it. The figure on the right is the suffix tree for the strings "ABAB", "BABA" and "ABBA", padded with unique string ...