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https://github.com/NVIDIA/nvidia-container-toolkit
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50 lines
1.2 KiB
Markdown
50 lines
1.2 KiB
Markdown
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[![Build Status](https://travis-ci.org/xrash/smetrics.svg?branch=master)](http://travis-ci.org/xrash/smetrics)
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# smetrics
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`smetrics` is "string metrics".
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Package smetrics provides a bunch of algorithms for calculating the distance between strings.
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There are implementations for calculating the popular Levenshtein distance (aka Edit Distance or Wagner-Fischer), as well as the Jaro distance, the Jaro-Winkler distance, and more.
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# How to import
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```go
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import "github.com/xrash/smetrics"
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```
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# Documentation
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Go to [https://pkg.go.dev/github.com/xrash/smetrics](https://pkg.go.dev/github.com/xrash/smetrics) for complete documentation.
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# Example
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```go
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package main
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import (
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"github.com/xrash/smetrics"
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)
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func main() {
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smetrics.WagnerFischer("POTATO", "POTATTO", 1, 1, 2)
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smetrics.WagnerFischer("MOUSE", "HOUSE", 2, 2, 4)
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smetrics.Ukkonen("POTATO", "POTATTO", 1, 1, 2)
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smetrics.Ukkonen("MOUSE", "HOUSE", 2, 2, 4)
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smetrics.Jaro("AL", "AL")
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smetrics.Jaro("MARTHA", "MARHTA")
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smetrics.JaroWinkler("AL", "AL", 0.7, 4)
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smetrics.JaroWinkler("MARTHA", "MARHTA", 0.7, 4)
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smetrics.Soundex("Euler")
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smetrics.Soundex("Ellery")
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smetrics.Hamming("aaa", "aaa")
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smetrics.Hamming("aaa", "aab")
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}
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```
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