Initial project import
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module arrays
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import strings
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// Common arrays functions:
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// - min / max - return the value of the minimum / maximum
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// - idx_min / idx_max - return the index of the first minimum / maximum
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// - merge - combine two sorted arrays and maintain sorted order
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// - append - combine two arrays, by appending the second array to the first
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// - chunk - chunk array to arrays with n elements
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// - window - get snapshots of the window of the given size sliding along array with the given step, where each snapshot is an array
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// - group - merge two arrays by interleaving e.g. arrays.group([1,3,5], [2,4,6]) => [[1,2],[3,4],[5,6]]
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// - flatten - reduce dimensionality of array by one. e.g. arrays.flatten([[1,2],[3,4],[5,6]]) => [1,2,3,4,5,6]
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// - each - call a callback fn, for each element of the array, similar to a.map(), but unlike it, the callback should not return anything
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// min returns the minimum value in the array.
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// Example: arrays.min([1, 2, 3, 0, 9])! // => 0
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pub fn min[T](array []T) !T {
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if array.len == 0 {
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return error('.min called on an empty array')
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}
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mut val := array[0]
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for e in array {
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if e < val {
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val = e
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}
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}
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return val
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}
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// max returns the maximum value in the array.
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// Example: arrays.max([1, 2, 3, 0, 9])! // => 9
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pub fn max[T](array []T) !T {
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if array.len == 0 {
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return error('.max called on an empty array')
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}
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mut val := array[0]
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for e in array {
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if e > val {
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val = e
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}
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}
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return val
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}
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// idx_min returns the index of the minimum value in the array.
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// Example: arrays.idx_min([1, 2, 3, 0, 9])! // => 3
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pub fn idx_min[T](array []T) !int {
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if array.len == 0 {
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return error('.idx_min called on an empty array')
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}
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mut idx := 0
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mut val := array[0]
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for i, e in array {
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if e < val {
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val = e
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idx = i
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}
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}
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return idx
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}
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// idx_max returns the index of the maximum value in the array.
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// Example: arrays.idx_max([1, 2, 3, 0, 9])! // => 4
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pub fn idx_max[T](array []T) !int {
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if array.len == 0 {
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return error('.idx_max called on an empty array')
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}
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mut idx := 0
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mut val := array[0]
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for i, e in array {
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if e > val {
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val = e
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idx = i
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}
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}
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return idx
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}
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// merge two sorted arrays (ascending) and maintain sorted order.
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// Example: arrays.merge([1, 3, 5, 7], [2, 4, 6, 8]) // => [1, 2, 3, 4, 5, 6, 7, 8]
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@[direct_array_access]
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pub fn merge[T](a []T, b []T) []T {
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mut m := []T{len: a.len + b.len}
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mut ia := 0
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mut ib := 0
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mut j := 0
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// TODO: efficient approach to merge_desc where: a[ia] >= b[ib]
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for ia < a.len && ib < b.len {
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if a[ia] <= b[ib] {
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m[j] = a[ia]
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ia++
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} else {
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m[j] = b[ib]
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ib++
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}
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j++
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}
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// a leftovers
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for ia < a.len {
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m[j] = a[ia]
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ia++
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j++
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}
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// b leftovers
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for ib < b.len {
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m[j] = b[ib]
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ib++
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j++
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}
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return m
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}
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// append the second array `b` to the first array `a`, and return the result.
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// Note, that unlike arrays.concat, arrays.append is less flexible, but more efficient,
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// since it does not require you to use ...a for the second parameter.
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// Example: arrays.append([1, 3, 5, 7], [2, 4, 6, 8]) // => [1, 3, 5, 7, 2, 4, 6, 8]
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pub fn append[T](a []T, b []T) []T {
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mut m := []T{cap: a.len + b.len}
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m << a
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m << b
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return m
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}
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// group n arrays into a single array of arrays with n elements.
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// This function is analogous to the "zip" function of other languages.
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// To fully interleave two arrays, follow this function with a call to `flatten`.
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// NOTE: An error will be generated if the type annotation is omitted.
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// Example: arrays.group[int]([1, 2, 3], [4, 5, 6]) // => [[1, 4], [2, 5], [3, 6]]
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pub fn group[T](arrs ...[]T) [][]T {
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mut length := if arrs.len > 0 { arrs[0].len } else { 0 }
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// calculate length of output by finding shortest input array
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for ndx in 1 .. arrs.len {
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if arrs[ndx].len < length {
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length = arrs[ndx].len
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}
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}
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if length > 0 {
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mut arr := [][]T{cap: length}
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// append all combined arrays into the resultant array
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for ndx in 0 .. length {
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mut grouped := []T{cap: arrs.len}
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// combine each list item for the ndx position into one array
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for arr_ndx in 0 .. arrs.len {
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grouped << arrs[arr_ndx][ndx]
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}
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arr << grouped
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}
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return arr
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}
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return [][]T{}
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}
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// chunk array into a single array of arrays where each element is the next `size` elements of the original.
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// Example: arrays.chunk([1, 2, 3, 4, 5, 6, 7, 8, 9], 2) // => [[1, 2], [3, 4], [5, 6], [7, 8], [9]]
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pub fn chunk[T](array []T, size int) [][]T {
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// allocate chunk array
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mut chunks := [][]T{cap: array.len / size + if array.len % size == 0 { 0 } else { 1 }}
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for i := 0; true; {
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// check chunk size is greater than remaining element size
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if array.len < i + size {
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// check if there's no more element to chunk
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if array.len <= i {
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break
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}
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chunks << array[i..]
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break
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}
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chunks << array[i..i + size]
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i += size
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}
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return chunks
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}
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// chunk_while splits the input array `a` into chunks of varying length, using the `predicate`, passing to it pairs of adjacent elements `before` and `after`.
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// Each chunk, will contain all ajdacent elements, for which the `predicate` returned true.
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// The chunks are split *between* the `before` and `after` elements, for which the `predicate` returned false.
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// Example: assert arrays.chunk_while([0,9,2,2,3,2,7,5,9,5],fn(x int,y int)bool{return x<=y})==[[0,9],[2,2,3],[2,7],[5,9],[5]]
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// Example: assert arrays.chunk_while('aaaabbbcca'.runes(),fn(x rune,y rune)bool{return x==y})==[[`a`,`a`,`a`,`a`],[`b`,`b`,`b`],[`c`,`c`],[`a`]]
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// Example: assert arrays.chunk_while('aaaabbbcca'.runes(),fn(x rune,y rune)bool{return x==y}).map({it[0]:it.len})==[{`a`:4},{`b`:3},{`c`:2},{`a`:1}]
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pub fn chunk_while[T](a []T, predicate fn (before T, after T) bool) [][]T {
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if a.len == 0 {
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return []
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}
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mut chunks := [][]T{}
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mut current := [a[0]]
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mut i := 0
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for i = 1; i < a.len; i++ {
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if predicate(a[i - 1], a[i]) {
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current << a[i]
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continue
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}
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if current.len > 0 {
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chunks << current
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}
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current = [a[i]]
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}
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if current.len > 0 {
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chunks << current
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}
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return chunks
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}
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pub struct WindowAttribute {
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pub:
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size int
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step int = 1
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}
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// get snapshots of the window of the given size sliding along array with the given step, where each snapshot is an array.
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// - `size` - snapshot size
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// - `step` - gap size between each snapshot, default is 1.
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//
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// Example: arrays.window([1, 2, 3, 4], size: 2) // => [[1, 2], [2, 3], [3, 4]]
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// Example: arrays.window([1, 2, 3, 4, 5, 6, 7, 8, 9, 10], size: 3, step: 2) // => [[1, 2, 3], [3, 4, 5], [5, 6, 7], [7, 8, 9]]
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pub fn window[T](array []T, attr WindowAttribute) [][]T {
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if array.len == 0 {
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return [][]T{}
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}
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// allocate snapshot array
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mut windows := [][]T{cap: array.len - attr.size + 1}
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for i := 0; true; {
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// check remaining elements size is less than snapshot size
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if array.len < i + attr.size {
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break
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}
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windows << array[i..i + attr.size]
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i += attr.step
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}
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return windows
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}
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// sum up array, return an error, when the array has no elements.
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// Example: arrays.sum([1, 2, 3, 4, 5])! // => 15
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pub fn sum[T](array []T) !T {
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if array.len == 0 {
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return error('Cannot sum up array of nothing.')
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} else {
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mut head := array[0]
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for e in array[1..] {
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head += e
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}
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return head
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}
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}
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// reduce sets `acc = array[0]`, then successively calls `acc = reduce_op(acc, elem)` for each remaining element in `array`.
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// returns the accumulated value in `acc`.
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// returns an error if the array is empty.
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// See also: [fold](#fold).
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// Example: arrays.reduce([1, 2, 3, 4, 5], fn (t1 int, t2 int) int { return t1 * t2 })! // => 120
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pub fn reduce[T](array []T, reduce_op fn (acc T, elem T) T) !T {
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if array.len == 0 {
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return error('Cannot reduce array of nothing.')
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} else {
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mut value := array[0]
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for e in array[1..] {
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value = reduce_op(value, e)
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}
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return value
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}
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}
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// reduce_indexed sets `acc = array[0]`, then successively calls `acc = reduce_op(idx, acc, elem)` for each remaining element in `array`.
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// returns the accumulated value in `acc`.
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// returns an error if the array is empty.
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// See also: [fold_indexed](#fold_indexed).
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pub fn reduce_indexed[T](array []T, reduce_op fn (idx int, acc T, elem T) T) !T {
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if array.len == 0 {
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return error('Cannot reduce array of nothing.')
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} else {
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mut value := array[0]
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for i, e in array {
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if i == 0 {
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continue
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} else {
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value = reduce_op(i, value, e)
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}
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}
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return value
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}
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}
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// filter_indexed filters elements based on `predicate` function being invoked on each element with its index in the original array.
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pub fn filter_indexed[T](array []T, predicate fn (idx int, elem T) bool) []T {
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mut result := []T{cap: array.len}
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for i, e in array {
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if predicate(i, e) {
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result << e
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}
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}
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return result
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}
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// fold sets `acc = init`, then successively calls `acc = fold_op(acc, elem)` for each element in `array`.
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// returns `acc`.
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// Example:
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// ```v
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// // Sum the length of each string in an array
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// a := ['Hi', 'all']
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// r := arrays.fold[string, int](a, 0,
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// fn (r int, t string) int { return r + t.len })
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// assert r == 5
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// ```
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pub fn fold[T, R](array []T, init R, fold_op fn (acc R, elem T) R) R {
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$if R is $array {
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mut value := init.clone()
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for e in array {
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value = fold_op(value, e)
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}
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return value
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} $else {
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mut value := init
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for e in array {
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value = fold_op(value, e)
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}
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return value
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}
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}
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// fold_indexed sets `acc = init`, then successively calls `acc = fold_op(idx, acc, elem)` for each element in `array`.
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// returns `acc`.
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pub fn fold_indexed[T, R](array []T, init R, fold_op fn (idx int, acc R, elem T) R) R {
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mut value := init
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for i, e in array {
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value = fold_op(i, value, e)
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}
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return value
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}
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// flatten flattens n + 1 dimensional array into n dimensional array.
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// Example: arrays.flatten[int]([[1, 2, 3], [4, 5]]) // => [1, 2, 3, 4, 5]
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pub fn flatten[T](array [][]T) []T {
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// calculate required capacity
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mut required_size := 0
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for e1 in array {
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for _ in e1 {
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required_size += 1
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}
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}
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// allocate flattened array
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mut result := []T{cap: required_size}
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for e1 in array {
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for e2 in e1 {
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result << e2
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}
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}
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return result
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}
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// flat_map creates a new array populated with the flattened result of calling transform function being invoked on each element of `list`.
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pub fn flat_map[T, R](array []T, transform fn (elem T) []R) []R {
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mut result := [][]R{cap: array.len}
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for v in array {
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result << transform(v)
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}
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return flatten(result)
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}
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// flat_map_indexed creates a new array with the flattened result of calling the `transform` fn, invoked on each idx,elem pair from the original.
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pub fn flat_map_indexed[T, R](array []T, transform fn (idx int, elem T) []R) []R {
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mut result := [][]R{cap: array.len}
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for i, v in array {
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result << transform(i, v)
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}
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return flatten(result)
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}
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// map_indexed creates a new array with the result of calling the `transform` fn, invoked on each idx,elem pair from the original.
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pub fn map_indexed[T, R](array []T, transform fn (idx int, elem T) R) []R {
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mut result := []R{cap: array.len}
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for i, v in array {
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result << transform(i, v)
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}
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return result
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}
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// group_by groups together elements, for which the `grouping_op` callback produced the same result.
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// Example: arrays.group_by[int, string](['H', 'el', 'lo'], fn (v string) int { return v.len }) // => {1: ['H'], 2: ['el', 'lo']}
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pub fn group_by[K, V](array []V, grouping_op fn (val V) K) map[K][]V {
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mut result := map[K][]V{}
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for v in array {
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key := grouping_op(v)
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// check if key exists, if not, then create a new array with matched value, otherwise append.
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if key in result {
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result[key] << v
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} else {
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result[key] = [v]
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}
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}
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return result
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}
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// concatenate an array with an arbitrary number of additional values.
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// NOTE: if you have two arrays, you should simply use the `<<` operator directly.
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// Example: assert arrays.concat([1, 2, 3], 4, 5, 6) == [1, 2, 3, 4, 5, 6]
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// Example: assert arrays.concat([1, 2, 3], ...[4, 5, 6]) == [1, 2, 3, 4, 5, 6]
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// Example: mut arr := arrays.concat([1, 2, 3], 4); arr << [10,20]; assert arr == [1,2,3,4,10,20] // note: arr is mutable
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pub fn concat[T](a []T, b ...T) []T {
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mut m := []T{cap: a.len + b.len}
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m << a
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m << b
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return m
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}
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// returns the smallest element >= val, requires `array` to be sorted.
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// Example: arrays.lower_bound([2, 4, 6, 8], 3)! // => 4
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pub fn lower_bound[T](array []T, val T) !T {
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if array.len == 0 {
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return error('.lower_bound called on an empty array')
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}
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mut left, mut right := 0, array.len - 1
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for ; left <= right; {
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idx := (left + right) / 2
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elem := array[idx]
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if elem < val {
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left = idx + 1
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} else {
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right = idx - 1
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}
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}
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if left >= array.len {
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return error('')
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} else {
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return array[left]
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}
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}
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// returns the largest element <= val, requires `array` to be sorted.
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// Example: arrays.upper_bound([2, 4, 6, 8], 3)! // => 2
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pub fn upper_bound[T](array []T, val T) !T {
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if array.len == 0 {
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return error('.upper_bound called on an empty array')
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}
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mut left, mut right := 0, array.len - 1
|
||||
for ; left <= right; {
|
||||
idx := (left + right) / 2
|
||||
elem := array[idx]
|
||||
if elem > val {
|
||||
right = idx - 1
|
||||
} else {
|
||||
left = idx + 1
|
||||
}
|
||||
}
|
||||
if right < 0 {
|
||||
return error('')
|
||||
} else {
|
||||
return array[right]
|
||||
}
|
||||
}
|
||||
|
||||
// binary_search, requires `array` to be sorted, returns index of found item or error.
|
||||
// Binary searches on sorted lists can be faster than other array searches because at maximum
|
||||
// the algorithm only has to traverse log N elements
|
||||
// Example: arrays.binary_search([1, 2, 3, 4], 4)! // => 3
|
||||
pub fn binary_search[T](array []T, target T) !int {
|
||||
mut left := 0
|
||||
mut right := array.len - 1
|
||||
for ; left <= right; {
|
||||
idx := (left + right) / 2
|
||||
elem := array[idx]
|
||||
if elem == target {
|
||||
return idx
|
||||
}
|
||||
if elem < target {
|
||||
left = idx + 1
|
||||
} else {
|
||||
right = idx - 1
|
||||
}
|
||||
}
|
||||
return error('')
|
||||
}
|
||||
|
||||
// rotate_left rotates the array in-place.
|
||||
// It does it in such a way, that the first `mid` elements of the array, move to the end,
|
||||
// while the last `array.len - mid` elements move to the front.
|
||||
// After calling `rotate_left`, the element previously at index `mid` will become the first element in the array.
|
||||
// Example:
|
||||
// ```v
|
||||
// mut x := [1,2,3,4,5,6]
|
||||
// arrays.rotate_left(mut x, 2)
|
||||
// println(x) // [3, 4, 5, 6, 1, 2]
|
||||
// ```
|
||||
pub fn rotate_left[T](mut array []T, mid int) {
|
||||
assert mid <= array.len && mid >= 0
|
||||
k := array.len - mid
|
||||
p := unsafe { &T(array.data) }
|
||||
unsafe {
|
||||
ptr_rotate[T](mid, &T(usize(voidptr(p)) + usize(sizeof(T)) * usize(mid)), k)
|
||||
}
|
||||
}
|
||||
|
||||
// rotate_right rotates the array in-place.
|
||||
// It does it in such a way, that the first `array.len - k` elements of the array, move to the end,
|
||||
// while the last `k` elements move to the front.
|
||||
// After calling `rotate_right`, the element previously at index `array.len - k` will become the first element in the array.
|
||||
// Example:
|
||||
// ```v
|
||||
// mut x := [1,2,3,4,5,6]
|
||||
// arrays.rotate_right(mut x, 2)
|
||||
// println(x) // [5, 6, 1, 2, 3, 4]
|
||||
// ```
|
||||
pub fn rotate_right[T](mut array []T, k int) {
|
||||
assert k <= array.len && k >= 0
|
||||
mid := array.len - k
|
||||
p := unsafe { &T(array.data) }
|
||||
unsafe {
|
||||
ptr_rotate[T](mid, &T(usize(voidptr(p)) + usize(sizeof(T)) * usize(mid)), k)
|
||||
}
|
||||
}
|
||||
|
||||
@[unsafe]
|
||||
fn ptr_rotate[T](left_ int, mid &T, right_ int) {
|
||||
sz := usize(sizeof(T))
|
||||
mut left := usize(left_)
|
||||
mut right := usize(right_)
|
||||
limit := raw_array_cap[T]()
|
||||
for {
|
||||
delta := if left < right { left } else { right }
|
||||
if delta <= usize(limit) {
|
||||
break
|
||||
}
|
||||
unsafe {
|
||||
swap_nonoverlapping[T](&T(usize(voidptr(mid)) - left * sz), &T(usize(voidptr(mid)) +
|
||||
usize(right - delta) * sz), int(delta))
|
||||
}
|
||||
if left <= right {
|
||||
right -= delta
|
||||
} else {
|
||||
left -= delta
|
||||
}
|
||||
}
|
||||
unsafe {
|
||||
rawarray := malloc(raw_array_malloc_size[T]())
|
||||
defer {
|
||||
free(rawarray)
|
||||
}
|
||||
dim := &T(usize(voidptr(mid)) - left * sz + right * sz)
|
||||
if left <= right {
|
||||
vmemcpy(rawarray, voidptr(usize(voidptr(mid)) - left * sz), isize(left * sz))
|
||||
vmemmove(voidptr(usize(voidptr(mid)) - left * sz), voidptr(mid), isize(right * sz))
|
||||
vmemcpy(voidptr(dim), rawarray, isize(left * sz))
|
||||
} else {
|
||||
vmemcpy(rawarray, voidptr(mid), isize(right * sz))
|
||||
vmemmove(voidptr(dim), voidptr(usize(voidptr(mid)) - left * sz), isize(left * sz))
|
||||
vmemcpy(voidptr(usize(voidptr(mid)) - left * sz), rawarray, isize(right * sz))
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
struct Block {
|
||||
mut:
|
||||
x u64
|
||||
y u64
|
||||
z u64
|
||||
w u64
|
||||
}
|
||||
|
||||
struct UnalignedBlock {
|
||||
mut:
|
||||
x u64
|
||||
y u64
|
||||
z u64
|
||||
w u64
|
||||
}
|
||||
|
||||
const extra_size = 32 * isize(sizeof(usize))
|
||||
|
||||
fn raw_array_cap[T]() isize {
|
||||
size := isize(sizeof(T))
|
||||
if size > extra_size {
|
||||
return 1
|
||||
} else {
|
||||
return extra_size / size
|
||||
}
|
||||
}
|
||||
|
||||
fn raw_array_malloc_size[T]() isize {
|
||||
size := isize(sizeof(T))
|
||||
if size > extra_size {
|
||||
return size * 2
|
||||
} else {
|
||||
return extra_size
|
||||
}
|
||||
}
|
||||
|
||||
@[unsafe]
|
||||
fn memswap(x voidptr, y voidptr, len usize) {
|
||||
block_size := isize(sizeof(Block))
|
||||
|
||||
mut i := usize(0)
|
||||
for i + usize(block_size) <= len {
|
||||
mut t_ := Block{}
|
||||
t := voidptr(&t_)
|
||||
|
||||
xi := usize(x) + i
|
||||
yi := usize(y) + i
|
||||
unsafe {
|
||||
vmemcpy(t, voidptr(xi), block_size)
|
||||
vmemcpy(voidptr(xi), voidptr(yi), block_size)
|
||||
vmemcpy(voidptr(yi), t, block_size)
|
||||
}
|
||||
i += usize(block_size)
|
||||
}
|
||||
if i < len {
|
||||
mut t_ := UnalignedBlock{}
|
||||
t := voidptr(&t_)
|
||||
rem := isize(len - i)
|
||||
xi := usize(x) + i
|
||||
yi := usize(y) + i
|
||||
unsafe {
|
||||
vmemcpy(t, voidptr(xi), rem)
|
||||
vmemcpy(voidptr(xi), voidptr(yi), rem)
|
||||
vmemcpy(voidptr(yi), t, rem)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
@[unsafe]
|
||||
fn swap_nonoverlapping[T](x_ &T, y_ &T, count int) {
|
||||
x := voidptr(x_)
|
||||
y := voidptr(y_)
|
||||
|
||||
len := usize(sizeof(T)) * usize(count)
|
||||
unsafe {
|
||||
memswap(x, y, len)
|
||||
}
|
||||
}
|
||||
|
||||
// copy copies the `src` array elements to the `dst` array.
|
||||
// The number of the elements copied is the minimum of the length of both arrays.
|
||||
// Returns the number of elements copied.
|
||||
pub fn copy[T](mut dst []T, src []T) int {
|
||||
min_len := if dst.len < src.len { dst.len } else { src.len }
|
||||
if min_len <= 0 {
|
||||
return 0
|
||||
}
|
||||
if can_copy_bits[T]() {
|
||||
blen := min_len * isize(sizeof(T))
|
||||
unsafe { vmemmove(&T(dst.data), src.data, blen) }
|
||||
} else {
|
||||
for i in 0 .. min_len {
|
||||
dst[i] = src[i]
|
||||
}
|
||||
}
|
||||
return min_len
|
||||
}
|
||||
|
||||
// can_copy_bits determines if T can be copied using `memcpy`.
|
||||
// false if autofree needs to intervene
|
||||
// false if type is not copyable e.g. map
|
||||
fn can_copy_bits[T]() bool {
|
||||
// references, C pointers, integers, floats, runes
|
||||
if T.name[0] in [`&`, `b`, `c`, `f`, `i`, `r`, `u`, `v`] {
|
||||
return true
|
||||
}
|
||||
return false
|
||||
}
|
||||
|
||||
// carray_to_varray copies a C byte array into a V array of type `T`.
|
||||
// See also: `cstring_to_vstring`
|
||||
@[unsafe]
|
||||
pub fn carray_to_varray[T](c_array_data voidptr, items int) []T {
|
||||
mut v_array := []T{len: items}
|
||||
total_size := items * isize(sizeof(T))
|
||||
unsafe { vmemcpy(v_array.data, c_array_data, total_size) }
|
||||
return v_array
|
||||
}
|
||||
|
||||
// find_first returns the first element that matches the given predicate.
|
||||
// Returns `none` if no match is found.
|
||||
// Example: arrays.find_first([1, 2, 3, 4, 5], fn (i int) bool { return i == 3 })? // => 3
|
||||
pub fn find_first[T](array []T, predicate fn (elem T) bool) ?T {
|
||||
if array.len == 0 {
|
||||
return none
|
||||
}
|
||||
for item in array {
|
||||
if predicate(item) {
|
||||
return item
|
||||
}
|
||||
}
|
||||
return none
|
||||
}
|
||||
|
||||
// find_last returns the last element that matches the given predicate.
|
||||
// Returns `none` if no match is found.
|
||||
// Example: arrays.find_last([1, 2, 3, 4, 5], fn (i int) bool { return i == 3})? // => 3
|
||||
pub fn find_last[T](array []T, predicate fn (elem T) bool) ?T {
|
||||
if array.len == 0 {
|
||||
return none
|
||||
}
|
||||
for idx := array.len - 1; idx >= 0; idx-- {
|
||||
item := array[idx]
|
||||
if predicate(item) {
|
||||
return item
|
||||
}
|
||||
}
|
||||
return none
|
||||
}
|
||||
|
||||
// join_to_string takes in a custom transform function and joins all elements into a string with
|
||||
// the specified separator
|
||||
@[manualfree]
|
||||
pub fn join_to_string[T](array []T, separator string, transform fn (elem T) string) string {
|
||||
mut sb := strings.new_builder(array.len * 2)
|
||||
defer {
|
||||
unsafe { sb.free() }
|
||||
}
|
||||
for i, item in array {
|
||||
x := transform(item)
|
||||
sb.write_string(x)
|
||||
unsafe { x.free() }
|
||||
if i < array.len - 1 {
|
||||
sb.write_string(separator)
|
||||
}
|
||||
}
|
||||
return sb.str()
|
||||
}
|
||||
|
||||
// partition splits the original array into pair of lists.
|
||||
// The first list contains elements for which the predicate fn returned true,
|
||||
// while the second list contains elements for which the predicate fn returned false.
|
||||
pub fn partition[T](array []T, predicate fn (elem T) bool) ([]T, []T) {
|
||||
mut matching, mut non_matching := []T{}, []T{}
|
||||
for item in array {
|
||||
if predicate(item) {
|
||||
matching << item
|
||||
} else {
|
||||
non_matching << item
|
||||
}
|
||||
}
|
||||
return matching, non_matching
|
||||
}
|
||||
|
||||
// each calls the callback fn `cb`, for each element of the given array `a`.
|
||||
pub fn each[T](a []T, cb fn (elem T)) {
|
||||
for item in a {
|
||||
cb(item)
|
||||
}
|
||||
}
|
||||
|
||||
// each_indexed calls the callback fn `cb`, for each element of the given array `a`.
|
||||
// It passes the callback both the index of the current element, and the element itself.
|
||||
pub fn each_indexed[T](a []T, cb fn (i int, e T)) {
|
||||
for idx, item in a {
|
||||
cb(idx, item)
|
||||
}
|
||||
}
|
||||
Reference in new issue
Block a user