mirror of
https://github.com/odin-lang/Odin.git
synced 2025-12-29 01:14:40 +00:00
330 lines
6.4 KiB
Odin
330 lines
6.4 KiB
Odin
package slice
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import "core:intrinsics"
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import "core:builtin"
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import "core:math/bits"
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import "core:mem"
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_ :: intrinsics;
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_ :: builtin;
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_ :: bits;
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_ :: mem;
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swap :: proc(array: $T/[]$E, a, b: int, loc := #caller_location) {
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when size_of(E) > 8 {
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ptr_swap_non_overlapping(&array[a], &array[b], size_of(E));
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} else {
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array[a], array[b] = array[b], array[a];
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}
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}
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reverse :: proc(array: $T/[]$E) {
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n := len(array)/2;
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for i in 0..<n {
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a, b := i, len(array)-i-1;
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array[a], array[b] = array[b], array[a];
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}
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}
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contains :: proc(array: $T/[]$E, value: E) -> bool where intrinsics.type_is_comparable(E) {
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_, found := linear_search(array, value);
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return found;
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}
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linear_search :: proc(array: $A/[]$T, key: T) -> (index: int, found: bool)
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where intrinsics.type_is_comparable(T) #no_bounds_check {
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for x, i in array {
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if x == key {
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return i, true;
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}
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}
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return -1, false;
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}
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linear_search_proc :: proc(array: $A/[]$T, f: proc(T) -> bool) -> (index: int, found: bool) #no_bounds_check {
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for x, i in array {
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if f(x) {
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return i, true;
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}
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}
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return -1, false;
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}
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binary_search :: proc(array: $A/[]$T, key: T) -> (index: int, found: bool)
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where intrinsics.type_is_ordered(T) #no_bounds_check {
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n := len(array);
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switch n {
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case 0:
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return -1, false;
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case 1:
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if array[0] == key {
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return 0, true;
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}
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return -1, false;
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}
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lo, hi := 0, n-1;
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for array[hi] != array[lo] && key >= array[lo] && key <= array[hi] {
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when intrinsics.type_is_ordered_numeric(T) {
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// NOTE(bill): This is technically interpolation search
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m := lo + int((key - array[lo]) * T(hi - lo) / (array[hi] - array[lo]));
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} else {
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m := lo + (hi - lo)/2;
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}
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switch {
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case array[m] < key:
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lo = m + 1;
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case key < array[m]:
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hi = m - 1;
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case:
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return m, true;
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}
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}
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if key == array[lo] {
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return lo, true;
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}
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return -1, false;
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}
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equal :: proc(a, b: $T/[]$E) -> bool where intrinsics.type_is_comparable(E) {
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if len(a) != len(b) {
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return false;
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}
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when intrinsics.type_is_simple_compare(E) {
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return mem.compare_ptrs(raw_data(a), raw_data(b), len(a)*size_of(E)) == 0;
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} else {
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for i in 0..<len(a) {
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if a[i] != b[i] {
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return false;
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}
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}
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return true;
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}
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}
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simple_equal :: proc(a, b: $T/[]$E) -> bool where intrinsics.type_is_simple_compare(E) {
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if len(a) != len(b) {
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return false;
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}
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return mem.compare_ptrs(raw_data(a), raw_data(b), len(a)*size_of(E)) == 0;
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}
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has_prefix :: proc(array: $T/[]$E, needle: E) -> bool where intrinsics.type_is_comparable(E) {
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n := len(needle);
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if len(array) >= n {
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return equal(array[:n], needle);
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}
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return false;
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}
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has_suffix :: proc(array: $T/[]$E, needle: E) -> bool where intrinsics.type_is_comparable(E) {
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array := array;
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m, n := len(array), len(needle);
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if m >= n {
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return equal(array[m-n:], needle);
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}
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return false;
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}
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fill :: proc(array: $T/[]$E, value: E) {
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for _, i in array {
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array[i] = value;
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}
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}
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rotate_left :: proc(array: $T/[]$E, mid: int) {
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n := len(array);
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m := mid %% n;
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k := n - m;
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p := raw_data(array);
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ptr_rotate(mid, ptr_add(p, mid), k);
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}
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rotate_right :: proc(array: $T/[]$E, k: int) {
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rotate_left(array, -k);
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}
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swap_with_slice :: proc(a, b: $T/[]$E, loc := #caller_location) {
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assert(len(a) == len(b), "miss matching slice lengths", loc);
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ptr_swap_non_overlapping(raw_data(a), raw_data(b), len(a)*size_of(E));
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}
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concatenate :: proc(a: []$T/[]$E, allocator := context.allocator) -> (res: T) {
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if len(a) == 0 {
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return;
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}
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n := 0;
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for s in a {
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n += len(s);
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}
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res = make(T, n, allocator);
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i := 0;
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for s in a {
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i += copy(res[i:], s);
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}
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return;
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}
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// copies slice into a new dynamic array
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clone :: proc(a: $T/[]$E, allocator := context.allocator) -> []E {
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d := make([]E, len(a), allocator);
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copy(d[:], a);
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return d;
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}
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// copies slice into a new dynamic array
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to_dynamic :: proc(a: $T/[]$E, allocator := context.allocator) -> [dynamic]E {
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d := make([dynamic]E, len(a), allocator);
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copy(d[:], a);
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return d;
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}
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// Converts slice into a dynamic array without cloning or allocating memory
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into_dynamic :: proc(a: $T/[]$E) -> [dynamic]E {
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s := transmute(mem.Raw_Slice)a;
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d := mem.Raw_Dynamic_Array{
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data = s.data,
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len = 0,
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cap = s.len,
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allocator = mem.nil_allocator(),
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};
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return transmute([dynamic]E)d;
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}
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length :: proc(a: $T/[]$E) -> int {
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return len(a);
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}
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is_empty :: proc(a: $T/[]$E) -> bool {
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return len(a) == 0;
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}
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split_at :: proc(array: $T/[]$E, index: int) -> (a, b: T) {
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return array[:index], array[index:];
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}
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split_first :: proc(array: $T/[]$E) -> (first: E, rest: T) {
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return array[0], array[1:];
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}
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split_last :: proc(array: $T/[]$E) -> (rest: T, last: E) {
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n := len(array)-1;
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return array[:n], array[n];
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}
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first :: proc(array: $T/[]$E) -> E {
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return array[0];
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}
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last :: proc(array: $T/[]$E) -> E {
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return array[len(array)-1];
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}
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first_ptr :: proc(array: $T/[]$E) -> ^E {
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if len(array) != 0 {
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return &array[0];
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}
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return nil;
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}
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last_ptr :: proc(array: $T/[]$E) -> ^E {
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if len(array) != 0 {
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return &array[len(array)-1];
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}
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return nil;
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}
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get :: proc(array: $T/[]$E, index: int) -> (value: E, ok: bool) {
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if 0 <= index && index < len(array) {
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value = array[index];
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ok = true;
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}
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return;
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}
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get_ptr :: proc(array: $T/[]$E, index: int) -> (value: ^E, ok: bool) {
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if 0 <= index && index < len(array) {
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value = &array[index];
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ok = true;
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}
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return;
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}
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as_ptr :: proc(array: $T/[]$E) -> ^E {
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return raw_data(array);
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}
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mapper :: proc(s: $S/[]$U, f: proc(U) -> $V, allocator := context.allocator) -> []V {
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r := make([]V, len(s), allocator);
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for v, i in s {
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r[i] = f(v);
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}
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return r;
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}
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reduce :: proc(s: $S/[]$U, initializer: $V, f: proc(V, U) -> V) -> V {
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r := initializer;
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for v in s {
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r = f(r, v);
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}
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return r;
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}
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filter :: proc(s: $S/[]$U, f: proc(U) -> bool, allocator := context.allocator) -> S {
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r := make([dynamic]U, 0, 0, allocator);
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for v in s {
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if f(v) {
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append(&r, v);
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}
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}
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return r[:];
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}
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min :: proc(s: $S/[]$T) -> (res: T, ok: bool) where intrinsics.type_is_ordered(T) #optional_ok {
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if len(s) != 0 {
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res = s[0];
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ok = true;
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for v in s[1:] {
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res = builtin.min(res, v);
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}
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}
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return;
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}
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max :: proc(s: $S/[]$T) -> (res: T, ok: bool) where intrinsics.type_is_ordered(T) #optional_ok {
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if len(s) != 0 {
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res = s[0];
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ok = true;
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for v in s[1:] {
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res = builtin.max(res, v);
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}
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}
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return;
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}
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dot_product :: proc(a, b: $S/[]$T) -> T
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where intrinsics.type_is_numeric(T) {
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if len(a) != len(b) {
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panic("slice.dot_product: slices of unequal length");
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}
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r: T;
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#no_bounds_check for _, i in a {
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r += a[i] * b[i];
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}
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return r;
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}
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