import (
    "fmt"
    "go-set-similarity-search"
)


func main() {
    // Each raw set must be a slice of unique string tokens.
    rawSets := [][]string{
        []string{"a"},
        []string{"a", "b"},
        []string{"a", "b", "c"},
        []string{"a", "b", "c", "d"},
        []string{"a", "b", "c", "d", "e"},
    }
    // Use frequency order transformation to replace the string tokens
    // with integers.
    sets, _ := SetSimilaritySearch.FrequencyOrderTransform(rawSets)
    // Run all-pairs algorithm, get a channel of pairs.
    pairs, _ := SetSimilaritySearch.AllPairs(sets,    
        /*similarityFunctionName=*/"jaccard", 
        /*similarityThreshold=*/0.1)
    for pair := range pairs {
        // X and Y are indexes to the original rawSets and sets slices.
        fmt.Println(pair.X, pair.Y, pair.Similarity)
    }
}

import (
    "fmt"
    "go-set-similarity-search"
)

func main() {
    // Each raw set must be a slice of unique string tokens.
    rawSets := [][]string{
        []string{"a"},
        []string{"a", "b"},
        []string{"a", "b", "c"},
        []string{"a", "b", "c", "d"},
        []string{"a", "b", "c", "d", "e"},
    }
    // Use frequency order transformation to replace the string tokens
    // with integers.
    sets, dict := SetSimilaritySearch.FrequencyOrderTransform(rawSets)
    // Build a search index.
    searchIndex, err := SetSimilaritySearch.NewSearchIndex(sets,
        /*similarityFunctionName=*/"jaccard", 
        /*similarityThreshold=*/0.1)
    // Use dictionary to transform a query set.
    querySet := dict.Transform([]string{"a", "c", "d"})
    // Query the search index.
    searchResults := searchIndex.Query(querySet)
    for _, result := range searchResults {
        // X is the index to the original rawSets and sets slices.
        fmt.Println(result.X, result.Similarity)
    }
}