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Diff-Text was developed by DiffEngineX LLC and uses improved algorithms originally developed for the spreadsheet compare tool DiffEngineX. It allows the user to choose between comparing on the level of paragraphs, whole lines, words, or characters. If comparing whole lines, only the line that is not a part of the other block will be reported.
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.
XML, HTML, CSV, Text, Unix Patch Compare++: Yes Yes Both Yes HTML, Text(combined or side-by-side) diff: No Yes Horizontal Yes pipe to diff-highlight [35] diff3: No Yes Horizontal Eclipse (compare) Yes Vertical Yes Ediff: Yes Yes elisp Both Yes ExamDiff Pro: Yes Yes optional Yes UNIX, HTML, Diff Far Manager (compare) Yes Yes Yes Yes No fc: No ...
HTML parsers are software for automated Hypertext Markup Language (HTML) parsing. They have two main purposes: HTML traversal: offer an interface for programmers to easily access and modify the "HTML string code". Canonical example: DOM parsers. HTML clean: to fix invalid HTML and to improve the layout and indent style of the resulting markup.
In typesetting, widows and orphans are single lines of text from a paragraph that dangle at either the beginning or end of a block of text, or form a very short final line at the end of a paragraph. [1] When split across pages, they occur at either the head or foot of a page (or column), unaccompanied by additional lines from the same paragraph ...
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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.
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.