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...To pick an example completely at random, Cirque du Soleil has a show running in New York called “Zarkana”. When we scour the web to find tickets for sale, mostly those tickets are identified by a title, date, time, and venue. We’ve built up a library of “fuzzy” string matching routines to help us along. And good news! We’re open sourcing it. The library is called “Fuzzywuzzy”, the code is pure python, and it depends only on the (excellent) difflib python library.
Kubernetes shell: An integrated shell for working with the Kubernetes
Kube-shell: An integrated shell for working with the Kubernetes CLI. Under the hood kube-shell still calls kubectl. Kube-shell aims to provide ease-of-use of kubectl and increase productivity. You can use up-arrow and down-arrow to walk through the history of commands executed. Also, up-arrow partial string matching is possible. For e.g. enter 'kubectl get' and use up-arrow and down-arrow to browse through all kubectl get commands. You could also use CTRL+r to search from the history of...
The fuzzy-matching library provides an OmniMark pattern function that attempts to approximately match the input prefix against any of the given target strings. The allowed Damerau–Levenshtein distance from each target string is user-specified. This distance equals the minimum number of character deletions, insertions, replacements, and transpositions required to transform the target string into the input.
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Implementation of Damerau-Levenshtein fuzzystring matching in Java. Returns the distance adding one point per character insert, deletion, mismatche and swap.. This is an extension of apache/commons/lang/StringUtils.getLevenshteinDistance()