### Levenshtein Ratio Calculations

Source: https://github.com/terrakok/fuzzykot/blob/main/README.MD

Calculate various Levenshtein-based ratios for fuzzy string comparison. Includes simple ratio, partial ratio, token sort ratio, and token set ratio.

```kotlin
import com.github.terrakok.fuzzykot.Levenshtein

Levenshtein.ratio("myself", "me") // 50
Levenshtein.partialRatio("similar", "sim") // 100
Levenshtein.tokenSortRatio("order word", "word order") // 100
Levenshtein.tokenSetRatio("fuzzy fuzzy matching", "fuzzy matching") // 100
```

--------------------------------

### Basic Fuzzy Matching with FuzzySearch

Source: https://github.com/terrakok/fuzzykot/blob/main/README.MD

Use FuzzySearch extension functions for simple fuzzy matching. It returns a similarity score (0-100) and matching character ranges.

```kotlin
import com.github.terrakok.fuzzykot.*

// Get similarity score (0-100)
val score = "Kotlin is awesome".ratio("kotlin")
println("Score: $score") // 97

// Get matching ranges for highlighting
val ranges = "Kotlin is awesome".matchingRanges("kotlin")
println("Ranges: $ranges") // [0..5]
```

--------------------------------

### MicroFuzz Ratio Calculation

Source: https://github.com/terrakok/fuzzykot/blob/main/README.MD

Use the MicroFuzz object directly for a fast and effective fuzzy matching algorithm, suitable for search-as-you-type interfaces.

```kotlin
import com.github.terrakok.fuzzykot.MicroFuzz

val score = MicroFuzz.ratio("FuzzyKot", "fzkot") // 88
```

--------------------------------

### Add FuzzyKot Dependency

Source: https://github.com/terrakok/fuzzykot/blob/main/README.MD

Add the FuzzyKot dependency to your project's build file. This is the latest version available on Maven Central.

```kotlin
implementation("com.github.terrakok:fuzzykot:1.0.0")
```

--------------------------------

### Extract Top Matches from Collections with FuzzySearch

Source: https://github.com/terrakok/fuzzykot/blob/main/README.MD

Utilize FuzzySearch to extract the best matches from a list of choices. Specify the query, limit, and optionally a processor, scorer, and cutoff.

```kotlin
val choices = listOf("Kotlin", "Java", "Swift", "Python")

// Get the top 2 matches
val results = choices.extractTop("KOTLIN", limit = 2)

results.forEach { 
    println("${it.referent}: ${it.score}") 
}
// Output:
// Kotlin: 100
```

=== COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.