### Install strutil Package

Source: https://pkg.go.dev/github.com/adrg/strutil

Use 'go get' to install the strutil package. This command fetches and installs the package and its dependencies.

```go
go get github.com/adrg/strutil

```

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

### Jaro Metric Example

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Shows how to use the Jaro metric for string similarity. Case sensitivity can be adjusted.

```go
package main

import (
	"fmt"

	"github.com/adrg/strutil"
)

func main() {
	// Example with Jaro metric
	metric := strutil.NewJaro()

	s// Calculate similarity
	ssimilarity := metric.Compare("sort", "shirt")
	fmt.Printf("(sort, shirt) similarity: %.2f\n", similarity)
}
```

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

### Hamming Metric Example

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Demonstrates the usage of the Hamming metric for calculating similarity and distance. Ensure strings are of equal length for accurate Hamming distance.

```go
package main

import (
	"fmt"

	"github.com/adrg/strutil"
)

func main() {
	// Example with Hamming metric
	metric := strutil.NewHamming()

	s// Calculate similarity
	ssimilarity := metric.Compare("text", "test")
	fmt.Printf("(text, test) similarity: %.2f\n", similarity)

	// Calculate distance
	distance := metric.Distance("text", "test")
	fmt.Printf("(text, test) distance: %d\n", distance)

	s// Example with different strings and case sensitivity
	smetric.CaseSensitive = false
	ssimilarity = metric.Compare("ONE", "once")
	fmt.Printf("(ONE, once) similarity: %.2f\n", similarity)

	distance = metric.Distance("ONE", "once")
	fmt.Printf("(ONE, once) distance: %d\n", distance)
}
```

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

### Jaccard Metric Example

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Illustrates the Jaccard index for string similarity. The NgramSize parameter affects tokenization for comparison. A size of 2 is default if not specified.

```go
package main

import (
	"fmt"

	"github.com/adrg/strutil"
)

func main() {
	// Example with Jaccard metric
	metric := strutil.NewJaccard()
	metric.NgramSize = 2 // Use 2-grams

	s// Calculate similarity
	ssimilarity := metric.Compare("night", "alright")
	fmt.Printf("(night, alright) similarity: %.2f\n", similarity)

	// Example with different NgramSize
	metric.NgramSize = 3
	similarity = metric.Compare("night", "alright")
	fmt.Printf("(night, alright) similarity: %.2f\n", similarity)
}
```

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

### Get Common Prefix of Two Strings

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/stringutil

Returns the common prefix of two strings. Returns an empty string if there is no common prefix.

```go
func CommonPrefix(first, second string) string
```

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

### Count n-grams in Go

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/ngram

Use this function to get the count of n-grams of a specified size for a given term. If size is non-positive, it defaults to 1.

```go
func Count(runes []rune, size int) int
```

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

### Get Unique Elements from String Slice

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/stringutil

Returns a new slice containing only the unique elements from the input slice. The order of elements is preserved from the input slice.

```go
func UniqueSlice(items []string) []string
```

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

### Get Unique Items from String Slice (Go)

Source: https://pkg.go.dev/github.com/adrg/strutil

Use UniqueSlice to create a new slice containing only the unique elements from an input string slice. Maintains the original order of appearance.

```go
func UniqueSlice(items []string) []string

```

```text
Output:
[a b a b b c]: [a b c]

```

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

### Create New Levenshtein Metric

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Initializes a new Levenshtein string metric with default costs for case-sensitive comparison.

```go
func NewLevenshtein() *Levenshtein
```

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

### Customize Smith-Waterman-Gotoh Parameters

Source: https://pkg.go.dev/github.com/adrg/strutil

Customizes the gap penalty and substitution function for the Smith-Waterman-Gotoh algorithm. Case sensitivity can also be adjusted.

```go
swg := metrics.NewSmithWatermanGotoh()
swg.CaseSensitive = false
swg.GapPenalty = -0.1
swg.Substitution = metrics.MatchMismatch {
    Match:    1,
    Mismatch: -0.5,
}

similarity := strutil.Similarity("Times Roman", "times new roman", swg)
fmt.Printf("%.2f\n", similarity) // Output: 0.96

```

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

### Create New Jaro-Winkler Metric

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Initializes a new Jaro-Winkler string metric. The default setting is case-sensitive.

```go
func NewJaroWinkler() *JaroWinkler
```

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

### SmithWatermanGotoh Struct Definition

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Defines the configuration options for the Smith-Waterman-Gotoh algorithm, including case sensitivity, gap penalty, and substitution scoring.

```go
type SmithWatermanGotoh struct {
	// CaseSensitive specifies if the string comparison is case sensitive.
	CaseSensitive bool

	// GapPenalty defines a score penalty for character insertions or deletions.
	// For relevant results, the gap penalty should be a non-positive number.
	GapPenalty float64

	// Substitution represents a substitution function which is used to
	// calculate a score for character substitutions.
	Substitution Substitution
}
```

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

### NewSmithWatermanGotoh Function

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Creates and returns a new Smith-Waterman-Gotoh metric with default settings. Default options include case-sensitive comparison, a gap penalty of -0.5, and a MatchMismatch substitution.

```go
func NewSmithWatermanGotoh() *SmithWatermanGotoh
```

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

### SmithWatermanGotoh Compare Method

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Calculates the similarity between two strings using the Smith-Waterman-Gotoh algorithm. The result is a float64 between 0 and 1, where higher values indicate greater similarity.

```go
func (m *SmithWatermanGotoh) Compare(a, b string) float64
```

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

### Map n-grams to frequencies in Go

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/ngram

Use this function to create a map of all n-grams of a specified size for a term, along with their frequencies. It also returns the total number of n-grams. Defaults to size 1 if size is non-positive.

```go
func Map(runes []rune, size int) (map[string]int, int)
```

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

### NewLevenshtein

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Initializes and returns a new Levenshtein string metric with default costs.

```APIDOC
## NewLevenshtein

### Description
NewLevenshtein returns a new Levenshtein string metric.

### Method
func NewLevenshtein() *Levenshtein

### Parameters
None

### Request Example
None

### Response
#### Success Response (200)
- **levenshteinMetric** (*Levenshtein) - A new instance of the Levenshtein metric with default costs (CaseSensitive: true, InsertCost: 1, DeleteCost: 1, ReplaceCost: 1).
```

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

### Find Common Prefix of Two Strings

Source: https://pkg.go.dev/github.com/adrg/strutil

Returns the common prefix of two strings. If there is no common prefix, an empty string is returned.

```go
func CommonPrefix(a, b string) string {
	return ""
}

```

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

### StringMetric Interface and Similarity Function

Source: https://pkg.go.dev/github.com/adrg/strutil

Defines the StringMetric interface and the Similarity function. The Similarity function calculates the similarity between two strings using a provided metric.

```go
type StringMetric interface {
    Compare(a, b string) float64
}

func Similarity(a, b string, metric StringMetric) float64 {
}

```

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

### NewSmithWatermanGotoh

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Returns a new Smith-Waterman-Gotoh string metric with default options.

```APIDOC
## NewSmithWatermanGotoh

### Description
NewSmithWatermanGotoh returns a new Smith-Waterman-Gotoh string metric.

### Default options
```
CaseSensitive: true
GapPenalty: -0.5
Substitution: MatchMismatch{
	Match:    1,

Mismatch: -2,
},
```
```

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

### Define String Similarity Metric Interface (Go)

Source: https://pkg.go.dev/github.com/adrg/strutil

The StringMetric interface defines a Compare method for measuring the similarity between two strings. Various implementations are available in the metrics package.

```go
type StringMetric interface {
	Compare(a, b string) float64
}

```

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

### Jaro.Compare

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Calculates the Jaro similarity between two strings. The result is a float between 0 and 1, where higher values indicate greater similarity.

```APIDOC
## Jaro.Compare

### Description
Compare returns the Jaro similarity of a and b. The returned similarity is a number between 0 and 1. Larger similarity numbers indicate closer matches.

### Method
func (m *Jaro) Compare(a, b string) float64

### Parameters
#### Path Parameters
None

#### Query Parameters
None

#### Request Body
None

### Request Example
None

### Response
#### Success Response (200)
- **similarity** (float64) - The Jaro similarity score between the two input strings.
```

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

### Jaro Similarity Comparison

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Compares two strings using the Jaro similarity algorithm. The result is a float64 between 0 and 1, where higher values indicate greater similarity.

```go
func (m *Jaro) Compare(a, b string) float64
```

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

### Min

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/mathutil

Min returns the value of the smallest argument, or 0 if no arguments are provided.

```APIDOC
## Min

### Description
Min returns the value of the smallest argument, or 0 if no arguments are provided.

### Signature
```go
func Min(args ...int) int
```
```

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

### CommonPrefix

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/stringutil

CommonPrefix returns the common prefix of the specified strings. An empty string is returned if the parameters have no prefix in common.

```APIDOC
## CommonPrefix

### Description
Returns the common prefix of two strings. Returns an empty string if there is no common prefix.

### Signature
```go
func CommonPrefix(first, second string) string
```

### Parameters
- **first** (string) - The first string.
- **second** (string) - The second string.

### Returns
- (string) - The common prefix of the two strings.
```

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

### NewJaroWinkler

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Initializes and returns a new Jaro-Winkler string metric.

```APIDOC
## NewJaroWinkler

### Description
NewJaroWinkler returns a new Jaro-Winkler string metric.

### Method
func NewJaroWinkler() *JaroWinkler

### Parameters
None

### Request Example
None

### Response
#### Success Response (200)
- **jaroWinklerMetric** (*JaroWinkler) - A new instance of the JaroWinkler metric.
```

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

### Calculate General String Similarity

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the similarity between two strings using a provided string metric. The result is a float between 0 and 1, where higher values indicate greater similarity.

```go
func Similarity(a, b string, metric StringMetric) float64 {
	return 0.0
}

```

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

### Minf

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/mathutil

Minf returns the value of the smallest argument, or 0 if no arguments are provided.

```APIDOC
## Minf

### Description
Minf returns the value of the smallest argument, or 0 if no arguments are provided.

### Signature
```go
func Minf(args ...float64) float64
```
```

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

### Min Function Signature

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/mathutil

Returns the value of the smallest integer argument. Returns 0 if no arguments are provided.

```go
func Min(args ...int) int
```

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

### Configure Levenshtein Costs and Calculate Similarity

Source: https://pkg.go.dev/github.com/adrg/strutil

Configures custom costs for edit operations (insertion, replacement, deletion) in the Levenshtein metric and calculates the similarity between two strings. Case sensitivity can also be adjusted.

```go
lev := metrics.NewLevenshtein()
lev.CaseSensitive = false
lev.InsertCost = 1
lev.ReplaceCost = 2
lev.DeleteCost = 1

similarity := strutil.Similarity("make", "Cake", lev)
fmt.Printf("%.2f\n", similarity) // Output: 0.50

```

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

### Jaro Metric

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates string similarity using the Jaro metric.

```APIDOC
## Jaro Metric

### Description
Calculates similarity using the Jaro metric.

### Usage
```go
import "github.com/adrg/strutil"
import "github.com/adrg/strutil/metrics"

similarity := strutil.Similarity("think", "tank", metrics.NewJaro())
fmt.Printf("%.2f\n", similarity) // Output: 0.78
```
```

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

### Minf Function Signature

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/mathutil

Returns the value of the smallest float64 argument. Returns 0 if no arguments are provided.

```go
func Minf(args ...float64) float64
```

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

### Calculate Smith-Waterman-Gotoh Similarity (Default)

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates similarity using the Smith-Waterman-Gotoh algorithm with default options. This is a local sequence alignment algorithm.

```go
swg := metrics.NewSmithWatermanGotoh()
similarity := strutil.Similarity("times roman", "times new roman", swg)
fmt.Printf("%.2f\n", similarity) // Output: 0.82

```

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

### MatchMismatch Min Score

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Returns the minimum possible score, which is the mismatch score.

```go
func (m MatchMismatch) Min() float64
```

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

### MatchMismatch Compare Function

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Compares characters at specified indices in two rune slices, returning the match score if they are equal or the mismatch score otherwise.

```go
func (m MatchMismatch) Compare(a []rune, idxA int, b []rune, idxB int) float64
```

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

### Create New OverlapCoefficient Metric

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Initializes a new OverlapCoefficient string metric. Defaults to case-sensitive comparison with an n-gram size of 2.

```go
func NewOverlapCoefficient() *OverlapCoefficient
```

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

### Customize Overlap Coefficient with N-gram Size and Case Sensitivity

Source: https://pkg.go.dev/github.com/adrg/strutil

Customizes the Overlap Coefficient metric by setting n-gram size and case sensitivity before calculating string similarity. This allows for more nuanced comparisons.

```go
oc := metrics.NewOverlapCoefficient()
oc.CaseSensitive = false
oc.NgramSize = 3

similarity := strutil.Similarity("Time to make haste", "no time to waste", oc)
fmt.Printf("%.2f\n", similarity) // Output: 0.57

```

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

### SmithWatermanGotoh.Compare

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Compares two strings using the Smith-Waterman-Gotoh algorithm and returns their similarity score.

```APIDOC
## (*SmithWatermanGotoh) Compare

### Description
Compare returns the Smith-Waterman-Gotoh similarity of a and b. The returned similarity is a number between 0 and 1. Larger similarity numbers indicate closer matches.

### Method
func (m *SmithWatermanGotoh) Compare(a, b string) float64
```

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

### Substitution Interface Definition

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Defines the interface for substitution functions used in sequence comparison algorithms. It includes methods for comparing characters, and retrieving maximum and minimum substitution scores.

```go
type Substitution interface {
	// Compare returns the substitution score of characters a[idxA] and b[idxB].
	Compare(a []rune, idxA int, b []rune, idxB int) float64

	// Returns the maximum score of a character substitution operation.
	Max() float64

	// Returns the minimum score of a character substitution operation.
	Min() float64
}
```

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

### Calculate Levenshtein Similarity (Default)

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the Levenshtein similarity between two strings using default options. The Levenshtein distance considers insertions, deletions, and substitutions.

```go
similarity := strutil.Similarity("graph", "giraffe", metrics.NewLevenshtein())
fmt.Printf("%.2f\n", similarity) // Output: 0.43

```

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

### NewOverlapCoefficient

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Initializes and returns a new OverlapCoefficient string metric with default settings.

```APIDOC
## NewOverlapCoefficient

### Description
NewOverlapCoefficient returns a new overlap coefficient string metric.

### Method
func NewOverlapCoefficient() *OverlapCoefficient

### Parameters
None

### Request Example
None

### Response
#### Success Response (200)
- **overlapCoefficientMetric** (*OverlapCoefficient) - A new instance of the OverlapCoefficient metric with default options (CaseSensitive: true, NgramSize: 2).
```

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

### MatchMismatch.Min

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Returns the mismatch score defined for this MatchMismatch instance.

```APIDOC
## MatchMismatch.Min

### Description
Min returns the mismatch value.

### Method
func (m MatchMismatch) Min() float64

### Parameters
None

### Request Example
None

### Response
#### Success Response (200)
- **mismatchScore** (float64) - The defined mismatch score.
```

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

### SorensenDice Compare Method

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Computes the Sorensen-Dice similarity coefficient between two strings. It returns a value between 0 and 1, with higher scores indicating more similarity. If n-gram size is not positive, it defaults to 2.

```go
func (m *SorensenDice) Compare(a, b string) float64
```

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

### Levenshtein Similarity Comparison

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Compares two strings using the Levenshtein similarity algorithm, returning a score between 0 and 1.

```go
func (m *Levenshtein) Compare(a, b string) float64
```

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

### Map Function

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/ngram

Creates a frequency map of n-grams for a given rune slice.

```APIDOC
## func Map

### Description
Map returns a map of all n-grams of the specified size for the provided term, along with their frequency. The function also returns the total number of n-grams, which is the sum of all the values in the output map. An n-gram size of 1 is used if the provided size is less than or equal to 0.

### Signature
```go
func Map(runes []rune, size int) (map[string]int, int)
```

### Parameters
#### Path Parameters
- **runes** ([]rune) - The input text as a slice of runes.
- **size** (int) - The size of the n-grams to map. Defaults to 1 if less than or equal to 0.

### Returns
- **map[string]int** - A map where keys are n-grams and values are their frequencies.
- **int** - The total number of n-grams.
```

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

### Calculate Jaro Similarity

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the Jaro similarity between two strings. This metric is particularly suited for short strings like names.

```go
similarity := strutil.Similarity("think", "tank", metrics.NewJaro())
fmt.Printf("%.2f\n", similarity) // Output: 0.78

```

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

### MatchMismatch Max Score

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Returns the maximum possible score, which is the match score.

```go
func (m MatchMismatch) Max() float64
```

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

### Calculate Overlap Coefficient Similarity

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the similarity between two strings using the Overlap Coefficient metric with default options. The result is a float between 0 and 1.

```go
oc := metrics.NewOverlapCoefficient()
similarity := strutil.Similarity("time to make haste", "no time to waste", oc)
fmt.Printf("%.2f\n", similarity) // Output: 0.67

```

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

### Substitution Interface

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Represents a substitution function used to calculate scores for character substitutions in string metrics.

```APIDOC
## Substitution Interface

### Description
Substitution represents a substitution function which is used to calculate a score for character substitutions.

### Methods
- **Compare**(a []rune, idxA int, b []rune, idxB int) float64 - Returns the substitution score of characters a[idxA] and b[idxB].
- **Max**() float64 - Returns the maximum score of a character substitution operation.
- **Min**() float64 - Returns the minimum score of a character substitution operation.
```

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

### Similarity

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the similarity between two strings using a specified string metric. The result is a float64 between 0 and 1, where higher values indicate a closer match.

```APIDOC
## Similarity

### Description
Similarity returns the similarity of a and b, computed using the specified string metric. The returned similarity is a number between 0 and 1. Larger similarity numbers indicate closer matches.

### Function Signature
```go
func Similarity(a, b string, metric StringMetric) float64
```

### Example
```go
// Assuming 'oc' is an initialized StringMetric implementation
similarity := strutil.Similarity("riddle", "needle", oc)
// similarity will be approximately 0.56
```
```

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

### NgramMap

Source: https://pkg.go.dev/github.com/adrg/strutil

Generates a map of n-grams and their frequencies for a given term and size. It also returns the total number of n-grams. If the size is non-positive, a default size of 1 is used.

```APIDOC
## NgramMap

### Description
NgramMap returns a map of all n-grams of the specified size for the provided term, along with their frequency. The function also returns the total number of n-grams, which is the sum of all the values in the output map. An n-gram size of 1 is used if the provided size is less than or equal to 0.

### Function Signature
```go
func NgramMap(term string, size int) (map[string]int, int)
```

### Example
```go
ngramMap, totalNgrams := strutil.NgramMap("abbcabb", 2)
// ngramMap will be map[ab:2 bb:2 bc:1 ca:1], totalNgrams will be 6
```
```

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

### Calculate Hamming Similarity

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the similarity between two strings using the Hamming metric. The output is a float64 representing the similarity score.

```go
similarity := strutil.Similarity("text", "test", metrics.NewHamming())
fmt.Printf("%.2f\n", similarity) // Output: 0.75

```

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

### Jaro-Winkler Similarity Comparison

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Calculates the Jaro-Winkler similarity between two strings. The output is a float64 between 0 and 1.

```go
func (m *JaroWinkler) Compare(a, b string) float64
```

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

### Create a Unique Slice of Strings

Source: https://pkg.go.dev/github.com/adrg/strutil

Removes duplicate strings from a slice, returning a new slice with only unique elements.

```go
func UniqueSlice(items []string) []string {
	return nil
}

```

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

### CommonPrefix

Source: https://pkg.go.dev/github.com/adrg/strutil

Finds and returns the longest common prefix between two strings. If no common prefix exists, an empty string is returned.

```APIDOC
## CommonPrefix

### Description
CommonPrefix returns the common prefix of the specified strings. An empty string is returned if the parameters have no prefix in common.

### Function Signature
```go
func CommonPrefix(a, b string) string
```

### Example
```go
prefix := strutil.CommonPrefix("answer", "anvil")
// prefix will be "an"
```
```

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

### Calculate Jaccard Similarity (Default)

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates similarity using the Jaccard index with default options. This metric measures the similarity between finite sample sets.

```go
j := metrics.NewJaccard()
similarity := strutil.Similarity("time to make haste", "no time to waste", j)
fmt.Printf("%.2f\n", similarity) // Output: 0.45

```

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

### Smith-Waterman-Gotoh Metric

Source: https://pkg.go.dev/github.com/adrg/strutil

Implements the Smith-Waterman-Gotoh algorithm for local sequence alignment, allowing customization of gap penalties and substitution functions.

```APIDOC
## Smith-Waterman-Gotoh Metric

### Description
Calculates similarity using the Smith-Waterman-Gotoh algorithm with configurable options.

### Usage
#### Similarity (Default Options)
```go
import "github.com/adrg/strutil"
import "github.com/adrg/strutil/metrics"

swg := metrics.NewSmithWatermanGotoh()
similarity := strutil.Similarity("times roman", "times new roman", swg)
fmt.Printf("%.2f\n", similarity) // Output: 0.82
```

#### Similarity (Custom Options)
```go
import "github.com/adrg/strutil"
import "github.com/adrg/strutil/metrics"

swg := metrics.NewSmithWatermanGotoh()
swg.CaseSensitive = false
swg.GapPenalty = -0.1
swg.Substitution = metrics.MatchMismatch{
    Match:    1,
    Mismatch: -0.5,
}

similarity := strutil.Similarity("Times Roman", "times new roman", swg)
fmt.Printf("%.2f\n", similarity) // Output: 0.96
```
```

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

### Count Function

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/ngram

Counts the n-grams of a specified size within a given rune slice. If the size is non-positive, it defaults to 1.

```APIDOC
## func Count

### Description
Count returns the n-gram count of the specified size for the provided term. An n-gram size of 1 is used if the provided size is less than or equal to 0.

### Signature
```go
func Count(runes []rune, size int) int
```

### Parameters
#### Path Parameters
- **runes** ([]rune) - The input text as a slice of runes.
- **size** (int) - The size of the n-grams to count. Defaults to 1 if less than or equal to 0.

### Returns
- **int** - The total count of n-grams of the specified size.
```

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

### StringMetric Interface

Source: https://pkg.go.dev/github.com/adrg/strutil

StringMetric represents an interface for defining metrics used to measure the similarity between two strings.

```APIDOC
## type StringMetric interface

### Description
StringMetric represents a metric for measuring the similarity between strings. The metrics package implements the following string metrics: Hamming, Jaro, Jaro-Winkler, Levenshtein, Smith-Waterman-Gotoh, Sorensen-Dice, Jaccard, Overlap coefficient.

### Interface Definition
```go
interface {
	Compare(a, b string) float64
}
```

### See Also
For more information see https://pkg.go.dev/github.com/adrg/strutil/metrics.
```

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

### Levenshtein Metric Definition

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Defines the Levenshtein metric, including options for case sensitivity and costs for insertion, deletion, and substitution.

```go
type Levenshtein struct {
	// CaseSensitive specifies if the string comparison is case sensitive.
	CaseSensitive bool

	// InsertCost represents the Levenshtein cost of a character insertion.
	InsertCost int

	// InsertCost represents the Levenshtein cost of a character deletion.
	DeleteCost int

	// InsertCost represents the Levenshtein cost of a character substitution.
	ReplaceCost int
}
```

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

### Generate N-gram Map

Source: https://pkg.go.dev/github.com/adrg/strutil

Generates a map of all n-grams for a term and their frequencies, along with the total n-gram count. Uses n-gram size 1 if size is non-positive.

```go
func NgramMap(term string, size int) (map[string]int, int) {
	return nil, 0
}

```

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

### JaroWinkler.Compare

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Calculates the Jaro-Winkler similarity between two strings. The result is a float between 0 and 1, where higher values indicate greater similarity.

```APIDOC
## JaroWinkler.Compare

### Description
Compare returns the Jaro-Winkler similarity of a and b. The returned similarity is a number between 0 and 1. Larger similarity numbers indicate closer matches.

### Method
func (m *JaroWinkler) Compare(a, b string) float64

### Parameters
#### Path Parameters
None

#### Query Parameters
None

#### Request Body
None

### Request Example
None

### Response
#### Success Response (200)
- **similarity** (float64) - The Jaro-Winkler similarity score between the two input strings.
```

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

### Jaro-Winkler Metric Definition

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Defines the Jaro-Winkler metric for string comparison. It includes an option to specify case sensitivity.

```go
type JaroWinkler struct {
	// CaseSensitive specifies if the string comparison is case sensitive.
	CaseSensitive bool
}
```

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

### Extract N-grams from a String

Source: https://pkg.go.dev/github.com/adrg/strutil

Returns a slice of all n-grams of a specified size from a term, in the order they appear. Uses n-gram size 1 if size is non-positive.

```go
func Ngrams(term string, size int) []string {
	return nil
}

```

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

### Calculate Jaro-Winkler Similarity

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the Jaro-Winkler similarity, an extension of the Jaro metric that gives more favorable ratings to strings that match from the beginning.

```go
similarity := strutil.Similarity("think", "tank", metrics.NewJaroWinkler())
fmt.Printf("%.2f\n", similarity) // Output: 0.80

```

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

### MatchMismatch.Compare

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Compares two characters at specified indices and returns a score based on whether they match or mismatch.

```APIDOC
## MatchMismatch.Compare

### Description
Compare returns the match value if a[idxA] is equal to b[idxB] or the mismatch value otherwise.

### Method
func (m MatchMismatch) Compare(a []rune, idxA int, b []rune, idxB int) float64

### Parameters
#### Path Parameters
None

#### Query Parameters
None

#### Request Body
None

### Request Example
None

### Response
#### Success Response (200)
- **score** (float64) - The match score if characters are equal, or the mismatch score otherwise.
```

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

### Hamming Metric

Source: https://pkg.go.dev/github.com/adrg/strutil

Provides the Hamming distance and similarity calculation for strings of equal length.

```APIDOC
## Hamming Metric

### Description
Calculates similarity and distance using the Hamming metric.

### Usage
#### Similarity
```go
import "github.com/adrg/strutil"
import "github.com/adrg/strutil/metrics"

similarity := strutil.Similarity("text", "test", metrics.NewHamming())
fmt.Printf("%.2f\n", similarity) // Output: 0.75
```

#### Distance
```go
import "github.com/adrg/strutil/metrics"

ham := metrics.NewHamming()
fmt.Printf("%d\n", ham.Distance("one", "once")) // Output: 2
```
```

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

### Jaro Metric

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

The Jaro metric is a measure of similarity between two strings. It is a weighted comparison that considers matching characters and transpositions.

```APIDOC
## Jaro Metric

### Description
Provides methods for calculating the Jaro similarity between strings.

### Type
`Jaro`

### Fields
- `CaseSensitive` (bool): Specifies if the string comparison is case sensitive.

### Functions
#### `NewJaro()`
- **Description**: Returns a new Jaro string metric with default options (CaseSensitive: true).
- **Returns**: `*Jaro`

#### `(*Jaro) Compare(a, b string)`
- **Description**: Calculates the Jaro similarity between two strings `a` and `b`. Returns a float64 representing the similarity score.
- **Parameters**:
  - `a` (string) - The first string.
  - `b` (string) - The second string.
- **Returns**: `float64` - The similarity score.
```

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

### Levenshtein.Compare

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Calculates the Levenshtein similarity between two strings. The result is a float between 0 and 1, where higher values indicate greater similarity.

```APIDOC
## Levenshtein.Compare

### Description
Compare returns the Levenshtein similarity of a and b. The returned similarity is a number between 0 and 1. Larger similarity numbers indicate closer matches.

### Method
func (m *Levenshtein) Compare(a, b string) float64

### Parameters
#### Path Parameters
None

#### Query Parameters
None

#### Request Body
None

### Request Example
None

### Response
#### Success Response (200)
- **similarity** (float64) - The Levenshtein similarity score between the two input strings.
```

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

### MatchMismatch.Max

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Returns the match score defined for this MatchMismatch instance.

```APIDOC
## MatchMismatch.Max

### Description
Max returns the match value.

### Method
func (m MatchMismatch) Max() float64

### Parameters
None

### Request Example
None

### Response
#### Success Response (200)
- **matchScore** (float64) - The defined match score.
```

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

### NewSorensenDice Function

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Initializes and returns a new Sorensen-Dice string metric. By default, it performs case-sensitive comparisons and uses an n-gram size of 2.

```go
func NewSorensenDice() *SorensenDice
```

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

### Maxf Function Signature

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/mathutil

Returns the value of the largest float64 argument. Returns 0 if no arguments are provided.

```go
func Maxf(args ...float64) float64
```

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

### Calculate N-gram Count

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the n-gram count for a given term and size. If the provided size is less than or equal to 0, an n-gram size of 1 is used.

```go
func NgramCount(term string, size int) int {
	return 0
}

```

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

### Max Function Signature

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/mathutil

Returns the value of the largest integer argument. Returns 0 if no arguments are provided.

```go
func Max(args ...int) int
```

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

### Find n-gram intersection in Go

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/ngram

This function returns a map of common n-grams between two terms, their frequencies, the count of common n-grams, and the total n-grams in each term. Defaults to size 1 if size is non-positive.

```go
func Intersection(a, b []rune, size int) (map[string]int, int, int, int)
```

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

### Max

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/mathutil

Max returns the value of the largest argument, or 0 if no arguments are provided.

```APIDOC
## Max

### Description
Max returns the value of the largest argument, or 0 if no arguments are provided.

### Signature
```go
func Max(args ...int) int
```
```

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

### SmithWatermanGotoh

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Represents the Smith-Waterman-Gotoh metric for measuring the similarity between sequences. It considers case sensitivity, gap penalties, and substitutions.

```APIDOC
## SmithWatermanGotoh

### Description
Represents the Smith-Waterman-Gotoh metric for measuring the similarity between sequences. For more information see https://en.wikipedia.org/wiki/Smith-Waterman_algorithm.

### Fields
- **CaseSensitive** (bool) - Specifies if the string comparison is case sensitive.
- **GapPenalty** (float64) - Defines a score penalty for character insertions or deletions. For relevant results, the gap penalty should be a non-positive number.
- **Substitution** (Substitution) - Represents a substitution function which is used to calculate a score for character substitutions.

### Example
```
(a pink kitten, a kitten) similarity: 0.88
(a pink kitten, A KITTEN) similarity: 0.94
```
```

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

### Customize Sorensen-Dice N-gram Size

Source: https://pkg.go.dev/github.com/adrg/strutil

Customizes the n-gram size for the Sorensen-Dice similarity calculation. Case sensitivity can also be adjusted.

```go
sd := metrics.NewSorensenDice()
sd.CaseSensitive = false
sd.NgramSize = 3

similarity := strutil.Similarity("Time to make haste", "no time to waste", sd)
fmt.Printf("%.2f\n", similarity) // Output: 0.53

```

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

### Levenshtein Metric

Source: https://pkg.go.dev/github.com/adrg/strutil

Implements the Levenshtein distance and similarity calculation, allowing customization of edit operation costs.

```APIDOC
## Levenshtein Metric

### Description
Calculates similarity and distance using the Levenshtein metric with configurable costs.

### Usage
#### Similarity (Default Costs)
```go
import "github.com/adrg/strutil"
import "github.com/adrg/strutil/metrics"

similarity := strutil.Similarity("graph", "giraffe", metrics.NewLevenshtein())
fmt.Printf("%.2f\n", similarity) // Output: 0.43
```

#### Similarity (Custom Costs)
```go
import "github.com/adrg/strutil"
import "github.com/adrg/strutil/metrics"

lev := metrics.NewLevenshtein()
lev.CaseSensitive = false
lev.InsertCost = 1
lev.ReplaceCost = 2
lev.DeleteCost = 1

similarity := strutil.Similarity("make", "Cake", lev)
fmt.Printf("%.2f\n", similarity) // Output: 0.50
```

#### Distance
```go
import "github.com/adrg/strutil/metrics"

lev := metrics.NewLevenshtein()
fmt.Printf("%d\n", lev.Distance("graph", "giraffe")) // Output: 4
```
```

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

### Similarity Function

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the similarity between two strings using a specified string metric. The StringMetric interface is implemented by all provided metrics.

```APIDOC
## Similarity Function

### Description
Calculates the similarity between two strings using the provided string metric.

### Signature
```go
func Similarity(a, b string, metric StringMetric) float64
```

### Parameters
- **a** (string) - The first string to compare.
- **b** (string) - The second string to compare.
- **metric** (StringMetric) - An implementation of the StringMetric interface.

### Return Value
- **float64** - The similarity score between the two strings.
```

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

### Slice Function

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/ngram

Extracts all n-grams of a specified size from a rune slice in their order of occurrence.

```APIDOC
## func Slice

### Description
Slice returns all the n-grams of the specified size for the provided term. The n-grams in the output slice are in the order in which they occur in the input term. An n-gram size of 1 is used if the provided size is less than or equal to 0.

### Signature
```go
func Slice(runes []rune, size int) []string
```

### Parameters
#### Path Parameters
- **runes** ([]rune) - The input text as a slice of runes.
- **size** (int) - The size of the n-grams to extract. Defaults to 1 if less than or equal to 0.

### Returns
- **[]string** - A slice of strings, where each string is an n-gram in its order of occurrence.
```

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

### Jaro-Winkler Metric

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates string similarity using the Jaro-Winkler metric, an extension of the Jaro metric.

```APIDOC
## Jaro-Winkler Metric

### Description
Calculates similarity using the Jaro-Winkler metric.

### Usage
```go
import "github.com/adrg/strutil"
import "github.com/adrg/strutil/metrics"

similarity := strutil.Similarity("think", "tank", metrics.NewJaroWinkler())
fmt.Printf("%.2f\n", similarity) // Output: 0.80
```
```

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

### Customize Jaccard N-gram Size

Source: https://pkg.go.dev/github.com/adrg/strutil

Customizes the n-gram size for the Jaccard index calculation. Case sensitivity can also be adjusted.

```go
j := metrics.NewJaccard()
j.CaseSensitive = false
j.NgramSize = 3

similarity := strutil.Similarity("Time to make haste", "no time to waste", j)
fmt.Printf("%.2f\n", similarity) // Output: 0.36

```

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

### Slice n-grams in Go

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/ngram

This function returns a slice of all n-grams of a specified size for a term, maintaining their order of occurrence. Defaults to size 1 if size is non-positive.

```go
func Slice(runes []rune, size int) []string
```

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

### SorensenDice.Compare

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Calculates the Sorensen-Dice similarity coefficient between two strings.

```APIDOC
## (*SorensenDice) Compare

### Description
Compare returns the Sorensen-Dice similarity coefficient of a and b. The returned similarity is a number between 0 and 1. Larger similarity numbers indicate closer matches. An n-gram size of 2 is used if the provided size is less than or equal to 0.

### Method
func (m *SorensenDice) Compare(a, b string) float64
```

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

### Find N-gram Intersection

Source: https://pkg.go.dev/github.com/adrg/strutil

Returns a map of n-grams found in both terms, their frequency, the count of common n-grams, and the total n-grams in each term. Uses n-gram size 1 if size is non-positive.

```go
func NgramIntersection(a, b string, size int) (map[string]int, int, int, int) {
	return nil, 0, 0, 0
}

```

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

### Maxf

Source: https://pkg.go.dev/github.com/adrg/strutil/internal/mathutil

Maxf returns the value of the largest argument, or 0 if no arguments are provided.

```APIDOC
## Maxf

### Description
Maxf returns the value of the largest argument, or 0 if no arguments are provided.

### Signature
```go
func Maxf(args ...float64) float64
```
```

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

### OverlapCoefficient Similarity Calculation

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Calculates the Overlap Coefficient similarity between two strings. A value between 0 and 1 is returned, with higher values indicating closer matches. If n-gram size is not positive, it defaults to 2.

```go
func (m *OverlapCoefficient) Compare(a, b string) float64
```

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

### Levenshtein Distance Calculation

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Calculates the Levenshtein distance between two strings. Lower values indicate closer matches, with 0 meaning identical strings.

```go
func (m *Levenshtein) Distance(a, b string) int
```

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

### Jaccard Metric

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates string similarity using the Jaccard index, with options to customize n-gram size and case sensitivity.

```APIDOC
## Jaccard Metric

### Description
Calculates similarity using the Jaccard index with configurable n-gram size.

### Usage
#### Similarity (Default N-gram Size)
```go
import "github.com/adrg/strutil"
import "github.com/adrg/strutil/metrics"

j := metrics.NewJaccard()
similarity := strutil.Similarity("time to make haste", "no time to waste", j)
fmt.Printf("%.2f\n", similarity) // Output: 0.45
```

#### Similarity (Custom N-gram Size)
```go
import "github.com/adrg/strutil"
import "github.com/adrg/strutil/metrics"

j := metrics.NewJaccard()
j.CaseSensitive = false
j.NgramSize = 3

similarity := strutil.Similarity("Time to make haste", "no time to waste", j)
fmt.Printf("%.2f\n", similarity) // Output: 0.36
```

### Relationship with Sorensen-Dice
- Jaccard Index from Sorensen-Dice: `J = SD / (2 - SD)`
- Sorensen-Dice from Jaccard Index: `SD = 2 * J / (1 + J)`
```

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

### Calculate Sorensen-Dice Similarity (Default)

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates similarity using the Sorensen-Dice coefficient with default options. This metric is often used for comparing sets or strings.

```go
sd := metrics.NewSorensenDice()
similarity := strutil.Similarity("time to make haste", "no time to waste", sd)
fmt.Printf("%.2f\n", similarity) // Output: 0.62

```

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

### Ngrams

Source: https://pkg.go.dev/github.com/adrg/strutil

Extracts all n-grams of a specified size from a term and returns them as a slice of strings. The order of n-grams in the slice corresponds to their occurrence in the term. A size of 1 is used if the provided size is non-positive.

```APIDOC
## Ngrams

### Description
Ngrams returns all the n-grams of the specified size for the provided term. The n-grams in the output slice are in the order in which they occur in the input term. An n-gram size of 1 is used if the provided size is less than or equal to 0.

### Function Signature
```go
func Ngrams(term string, size int) []string
```

### Example
```go
grams := strutil.Ngrams("abbcd", 2)
// grams will be ["ab", "bb", "bc", "cd"]
```
```

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

### NewSorensenDice

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Returns a new Sorensen-Dice string metric with default options.

```APIDOC
## NewSorensenDice

### Description
NewSorensenDice returns a new Sorensen-Dice string metric.

### Default options
```
CaseSensitive: true
NGramSize: 2
```
```

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

### Calculate Levenshtein Distance

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the Levenshtein distance between two strings. This metric is useful for measuring the difference between sequences.

```go
lev := metrics.NewLevenshtein()
fmt.Printf("%d\n", lev.Distance("graph", "giraffe")) // Output: 4

```

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

### Calculate Hamming Distance

Source: https://pkg.go.dev/github.com/adrg/strutil

Calculates the Hamming distance between two strings. The distance is the number of positions at which the corresponding symbols are different.

```go
ham := metrics.NewHamming()
fmt.Printf("%d\n", ham.Distance("one", "once")) // Output: 2

```

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

### SorensenDice Struct Definition

Source: https://pkg.go.dev/github.com/adrg/strutil/metrics

Defines the configuration for the Sorensen-Dice similarity metric, including case sensitivity and the size of n-grams to be used for comparison.

```go
type SorensenDice struct {
	// CaseSensitive specifies if the string comparison is case sensitive.
	CaseSensitive bool

	// NgramSize represents the size (in characters) of the tokens generated
	// when comparing the input sequences.
	NgramSize int
}
```