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  2. Comparison of file comparison tools - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_file...

    The difference is an exact number of quarters of an hour up to 95 (same minutes modulo 15 and seconds) if the file was transported across zones; there is also a one-hour difference within a single zone caused by the transition between standard time and daylight saving time (DST). Some, but not all, file comparison and synchronisation software ...

  3. diff - Wikipedia

    en.wikipedia.org/wiki/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.

  4. File comparison - Wikipedia

    en.wikipedia.org/wiki/File_comparison

    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]

  5. Document comparison - Wikipedia

    en.wikipedia.org/wiki/Document_comparison

    The software-based document comparison process compares a reference document to a target document, and produces a third document which indicates (by colored highlighting or by differing font characteristics) information (text, graphics, formulas, etc.) that has either been added to or removed from the reference document to produce the target ...

  6. Comparison - Wikipedia

    en.wikipedia.org/wiki/Comparison

    Editing documents, program code, or any data always risks introducing errors. Displaying the differences between two or more sets of data, file comparison tools can make computing simpler, and more efficient by focusing on new data and ignoring what did not change.

  7. Data differencing - Wikipedia

    en.wikipedia.org/wiki/Data_differencing

    Main concerns for data differencing are usability and space efficiency (patch size).. If one simply wishes to reconstruct the target given the source and patch, one may simply include the entire target in the patch and "apply" the patch by discarding the source and outputting the target that has been included in the patch; similarly, if the source and target have the same size one may create a ...

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