31 lines
1.1 KiB
Markdown
31 lines
1.1 KiB
Markdown
# Levenshtein
|
|
|
|
A simple implementation of the [Levenshtein distance](https://en.wikipedia.org/wiki/Levenshtein_distance) in Go.
|
|
It can currently only be used to determine the most likely choice from a hash table of options. In other words, you want a value to a key, but may not know the exact key.
|
|
|
|
## Usage
|
|
|
|
```go
|
|
import (
|
|
"git.0x0001f346.de/andreas/levenshtein"
|
|
)
|
|
|
|
nationalCapitals := map[string]string{
|
|
"Copenhagen": "Denmark",
|
|
"Berlin": "Germany",
|
|
"Tokyo": "Japan",
|
|
"Amsterdam": "Netherlands",
|
|
"Bern": "Switzerland",
|
|
"Vienna": "Austria",
|
|
"Prague": "Czech Republic",
|
|
"Luxembourg": "Luxembourg",
|
|
"Warsaw": "Poland",
|
|
"Paris": "France",
|
|
"Rome": "Italy",
|
|
}
|
|
|
|
// A Ratio of 1.0 means that it is an exact match. The closer the Ratio approaches 1.0, the smaller the difference between the two keys, or the more likely we found a match.
|
|
bestFittingChoice := levenshtein.GetBestFittingChoice("Berlin", nationalCapitals) // {Ratio:1.0 Key:"Berlin" Value:"Germany"}
|
|
bestFittingChoice = levenshtein.GetBestFittingChoice("Tokio", nationalCapitals) // {Ratio:0.8 Key:"Tokyo" Value:"Japan"}
|
|
```
|