### Install Go-edlib Library

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Install the Go-edlib library using the go get command. This command fetches and installs the package into your Go workspace.

```bash
go get github.com/hbollon/go-edlib
```

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

### Import Go-edlib Library

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Import the Go-edlib package into your Go project to start using its functionalities. This is a standard Go import statement.

```go
import (
	"github.com/hbollon/go-edlib"
)
```

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

### Get LCS Diff Between Two Strings

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Computes and displays the differences between two strings based on their Longest Common Subsequence.

```go
res, err := edlib.LCSDiff("computer", "houseboat")
if err != nil {
  fmt.Println(err)
} else {
  fmt.Printf("LCS: \n%s\n%s", res[0], res[1])
}
```

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

### Run Unit Tests on Windows

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Run all unit tests for the Go-edlib library on Windows. This command uses the standard Go testing tool.

```bash
go test ./... # Add desired parameters to this command if you want
```

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

### Run Unit Tests on Linux

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Execute all unit tests for the Go-edlib library on Linux systems. This script ensures the library's components are functioning correctly.

```bash
./tests/tests.sh
```

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

### Execute Fuzzy Search with Levenshtein

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Perform a fuzzy search to find the best matching string in a list against a query string using the Levenshtein algorithm. Returns the most similar string without a threshold.

```go
strList := []string{"test", "tester", "tests", "testers", "testing", "tsting", "sting"}
res, err := edlib.FuzzySearch("testnig", strList, edlib.Levenshtein)
if err != nil {
  fmt.Println(err)
} else {
  fmt.Printf("Result: %s", res)
}
```

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

### Backtrack All Longest Common Subsequences (LCS)

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Finds all possible Longest Common Subsequences between two strings.

```go
res, err := edlib.LCSBacktrackAll("ABCD", "ACBAD")
if err != nil {
  fmt.Println(err)
} else {
  fmt.Printf("LCS: %s", strings.Join(res, ", "))
}
```

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

### Calculate String Similarity with Levenshtein

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Calculate the similarity index between two strings using the Levenshtein algorithm. Handles potential errors during calculation.

```go
res, err := edlib.StringsSimilarity("string1", "string2", edlib.Levenshtein)
if err != nil {
  fmt.Println(err)
} else {
  fmt.Printf("Similarity: %f", res)
}
```

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

### Fuzzy Search Set with Similarity Threshold

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Finds a set of matching strings within a specified quantity and minimum similarity threshold using Levenshtein distance.

```go
strList := []string{"test", "tester", "tests", "testers", "testing", "tsting", "sting"}
res, err := edlib.FuzzySearchSetThreshold("testnig", strList, 3, 0.5, edlib.Levenshtein)
if err != nil {
  fmt.Println(err)
} else {
  fmt.Printf("Result for 'testnig' with '0.5' threshold: %s", strings.Join(res, " "))
}

res, err = edlib.FuzzySearchSetThreshold("testnig", strList, 3, 0.7, edlib.Levenshtein)
if err != nil {
  fmt.Println(err)
} else {
  fmt.Printf("Result for 'testnig' with '0.7' threshold: %s", strings.Join(res, " "))
}
```

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

### Fuzzy Search with Similarity Threshold

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Finds the most similar string in a list that meets a minimum similarity threshold using Levenshtein distance.

```go
strList := []string{"test", "tester", "tests", "testers", "testing", "tsting", "sting"}
res, err := edlib.FuzzySearchThreshold("testnig", strList, 0.7, edlib.Levenshtein)
if err != nil {
  fmt.Println(err)
} else {
  fmt.Printf("Result for 'testnig': %s", res)
}

res, err = edlib.FuzzySearchThreshold("hello", strList, 0.7, edlib.Levenshtein)
if err != nil {
  fmt.Println(err)
} else {
  fmt.Printf("Result for 'hello': %s", res)
}
```

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

### Backtrack Longest Common Subsequence (LCS)

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Finds one of the Longest Common Subsequences between two strings.

```go
res, err := edlib.LCSBacktrack("ABCD", "ACBAD")
if err != nil {
  fmt.Println(err)
} else {
  fmt.Printf("LCS: %s", res)
}
```

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

### Fuzzy Search for a Set of Results

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Retrieves a specified quantity of the most matching strings from a list using Levenshtein distance.

```go
strList := []string{"test", "tester", "tests", "testers", "testing", "tsting", "sting"}
res, err := edlib.FuzzySearchSet("testnig", strList, 3, edlib.Levenshtein)
if err != nil {
  fmt.Println(err)
} else {
  fmt.Printf("Results: %s", strings.Join(res, ", "))
}
```

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

### Compute Longest Common Subsequence (LCS) Length

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Calculates the length of the Longest Common Subsequence between two strings.

```go
lcs := edlib.LCS("ABCD", "ACBAD")
fmt.Printf("Length of their LCS: %d", lcs)
```

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

### Calculate Levenshtein Distance

Source: https://github.com/hbollon/go-edlib/blob/master/README.md

Computes the Levenshtein edit distance between two strings.

```go
res := edlib.LevenshteinDistance("kitten", "sitting")
fmt.Printf("Result: %d", res)
```

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