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The optimal way to display the results of a file comparison depends on many factors, including the type of source data. The fixed lines of programming code provide a clear unit of comparison. This does not work with documents, where adding a single word may cause the following lines to wrap differently, but still not change the content.
diff3 has several methods to handle overlaps and conflicts. It can omit overlaps or conflicts, or select only overlaps, or mark conflicts with special <<<<< and >>>>> lines. diff3 can output the merge results as an ed script that can be applied to the first file to yield the merged output. However, directly generating the merged output bypasses ...
In computing, fc (File Compare) is a command-line program in DOS, IBM OS/2 and Microsoft Windows operating systems, that compares multiple files and outputs the differences between them. [2] [3] It is similar to the Unix commands comm, cmp and diff.
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.
A ruler was used with a red pen to draw strike-through lines of deleted text and double-underline inserted text. The term "redline" came from using a red pen on the original/current version. When the document was placed in a copy machine, the copies came out black, thus the term "blackline."
Eclipse (compare) Ediff: ExamDiff Pro: No Yes Yes Yes Yes Far Manager (compare) Yes No Yes No Yes fc: No Optional FileMerge (aka opendiff) No No No Optional Guiffy SureMerge: filesystem dependent Yes Yes IntelliJ IDEA (compare) jEdit JDiff plugin: Lazarus Diff Meld: Notepad++ (compare) No No No Yes Perforce P4Merge — No No No Yes Pretty Diff ...
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In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.
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