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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.
One approach is to find the longest common subsequence between two files, then regard the non-common data as an insertion, or a deletion. In 1978, Paul Heckel published an algorithm that identifies most moved blocks of text. [2] This is used in the IBM History Flow tool. [3] Other file comparison programs find block moves. [clarification needed]
Any similarity between the two documents above the specified minimum will be reported (if detecting moves is selected). This is the main difference between Diff-Text and most other text comparison algorithms. Diff-Text will always match up significant similarities even if contained within non-identical or moved lines.
One may also wish to have robust differences – for example, if two documents A and B differ in paragraph 13, one may wish to be able to apply this patch even if one has changed paragraph 7 of A. An example of this is in diff, which shows which lines changed, and where the context format allows robustness and improves human readability.
Document comparison, also known as redlining or blacklining, is a computer process by which changes are identified between two versions of the same document for the purposes of document editing and review. Document comparison is a common task in the legal and financial industries.
This proprietary format is based on the EPUB standard, with some differences in the CSS tags used in an ibooks format file, this making it incompatible with the EPUB specification. The End-User Licensing Agreement (EULA) included with iBooks Author states that "If you want to charge a fee for a work that includes files in the .ibooks format ...