function levenshteinD (s1, s2) {
var d = []
var i = 0
for (i = 0; i <= s1.length; i++) d[i] = [i]
for (i = 0; i <= s2.length; i++) d[0][i] = i
s2.split('').forEach(function (c2, j) {
s1.split('').forEach(function (c1, i) {
if (c1 === c2) {
d[i + 1][j + 1] = d[i][j]
return
}
d[i + 1][j + 1] = Math.min(
d[i][j + 1] + 1,
d[i + 1][j] + 1,
d[i][j] + 1
)
})
})
return d[s1.length][s2.length]
}
function meant (scmd, commands) {
var d = []
var bestSimilarity = []
commands.forEach(function (cmd, i) {
var item = {}
item[levenshteinD(scmd, cmd)] = i
d.push(item)
})
d.sort(function (a, b) {
return Number(Object.keys(a)[0]) - Number(Object.keys(b)[0])
})
d.forEach(function (item) {
var key = Number(Object.keys(item)[0])
if (scmd.length / 2 >= key) {
bestSimilarity.push(commands[item[key]])
}
})
return bestSimilarity
}
module.exports = meant
