- continuous integration
- test coverage
Diff::LCS computes the difference between two Enumerable sequences using the McIlroy-Hunt longest common subsequence (LCS) algorithm. It includes utilities to create a simple HTML diff output format and a standard diff-like tool.
This is release 1.3, providing a tentative fix to a long-standing issue related to incorrect detection of a patch direction. Also modernizes the gem infrastructure, testing infrastructure, and provides a warning-free experience to Ruby 2.4 users.
Using this module is quite simple. By default, Diff::LCS does not extend objects with the Diff::LCS interface, but will be called as if it were a function:
require 'diff/lcs' seq1 = %w(a b c e h j l m n p) seq2 = %w(b c d e f j k l m r s t) lcs = Diff::LCS.LCS(seq1, seq2) diffs = Diff::LCS.diff(seq1, seq2) sdiff = Diff::LCS.sdiff(seq1, seq2) seq = Diff::LCS.traverse_sequences(seq1, seq2, callback_obj) bal = Diff::LCS.traverse_balanced(seq1, seq2, callback_obj) seq2 == Diff::LCS.patch!(seq1, diffs) seq1 == Diff::LCS.unpatch!(seq2, diffs) seq2 == Diff::LCS.patch!(seq1, sdiff) seq1 == Diff::LCS.unpatch!(seq2, sdiff)
Objects can be extended with Diff::LCS:
seq1.extend(Diff::LCS) lcs = seq1.lcs(seq2) diffs = seq1.diff(seq2) sdiff = seq1.sdiff(seq2) seq = seq1.traverse_sequences(seq2, callback_obj) bal = seq1.traverse_balanced(seq2, callback_obj) seq2 == seq1.patch!(diffs) seq1 == seq2.unpatch!(diffs) seq2 == seq1.patch!(sdiff) seq1 == seq2.unpatch!(sdiff)
By requiring 'diff/lcs/array' or 'diff/lcs/string', Array or String will be extended for use this way.
Note that Diff::LCS requires a sequenced enumerable container, which means that the order of enumeration is both predictable and consistent for the same set of data. While it is theoretically possible to generate a diff for an unordered hash, it will only be meaningful if the enumeration of the hashes is consistent. In general, this will mean that containers that behave like String or Array will perform best.
Diff::LCS is a port of Perl's Algorithm::Diff that uses the McIlroy-Hunt longest common subsequence (LCS) algorithm to compute intelligent differences between two sequenced enumerable containers. The implementation is based on Mario I. Wolczko's Smalltalk version 1.2 (1993) and Ned Konz's Perl version Algorithm::Diff 1.15. Diff::LCS#sdiff and Diff::LCS#traverse_balanced were originally written for the Perl version by Mike Schilli.
The algorithm is described in A Fast Algorithm for Computing Longest Common Subsequences, CACM, vol.20, no.5, pp.350-353, May 1977, with a few minor improvements to improve the speed. A simplified description of the algorithm, originally written for the Perl version, was written by Mark-Jason Dominus.