✓
Passing This code compiles and runs correctly.
Code
// PINS: compute-shaped arithmetic through the sweep write path — an f64
// column written from a rhs with DIVISION and a PARENTHESIZED subexpression
// reading four sibling columns (a 2x2 determinant), then a second column
// halved across repeated frame passes (`for` wrapping a sweep, 690_067's
// nesting).
//
// This is ecs_bench_suite's heavy_compute (rust-gamedev's workload): a matrix
// inverted per row, per frame. The corpus's stored rhs before this was `+`/`-`
// only (690_111, 690_114); `/` and parens had never crossed the stored block.
// The FULL inverse — four writes under one arm — is the plural stored block,
// 690_118's pin; each element alone is a single-column write, this shape.
// a lands on d/det = 6/(24-14); b halves three times from 7.0.
import std/io
import std/store
std/store:new(mats, capacity: 4) { a: f64, b: f64, c: f64, d: f64 }
std/store:insert(mats) { a: 4.0, b: 7.0, c: 2.0, d: 6.0 }
std/store:query(mats)
! query m |> std/store:stored { m.a: m.d / (m.a * m.d - m.b * m.c) }
for(0..3)
! each _ |> std/store:query(mats)
! query n |> std/store:stored { n.b: n.b / 2.0 }
std/store:query(mats)
! query r |> std/io:print.ln("a {{ r.a:f }} b {{ r.b:f }} c {{ r.c:f }} d {{ r.d:f }}")
Actual
a 0.6 b 0.875 c 2 d 6
Expected output
✓ Zig✓ C#a 0.6 b 0.875 c 2 d 6
Emitted Zig source
// Access compiler flags via the per-user compiler_env module
const CompilerEnv = @import("compiler_env").CompilerEnv;
pub const panic = if (@import("builtin").mode == .Debug)
@import("std").debug.FullPanic(@import("std").debug.defaultPanic)
else
@import("std").debug.simple_panic;
const __koru_bare = struct {
extern fn posix_memalign(memptr: *?*anyopaque, alignment: usize, size: usize) c_int;
extern fn free(ptr: ?*anyopaque) void;
fn bareAlloc(_: *anyopaque, len: usize, alignment: @import("std").mem.Alignment, _: usize) ?[*]u8 {
var p: ?*anyopaque = null;
const a = @max(alignment.toByteUnits(), @sizeOf(usize));
if (posix_memalign(&p, a, len) != 0) return null;
return @ptrCast(p);
}
fn bareResize(_: *anyopaque, _: []u8, _: @import("std").mem.Alignment, _: usize, _: usize) bool { return false; }
fn bareRemap(_: *anyopaque, _: []u8, _: @import("std").mem.Alignment, _: usize, _: usize) ?[*]u8 { return null; }
fn bareFree(_: *anyopaque, memory: []u8, _: @import("std").mem.Alignment, _: usize) void { free(@ptrCast(memory.ptr)); }
const vtable = @import("std").mem.Allocator.VTable{ .alloc = bareAlloc, .resize = bareResize, .remap = bareRemap, .free = bareFree };
const allocator = @import("std").mem.Allocator{ .ptr = undefined, .vtable = &vtable };
};
const __koru_backing = if (@import("builtin").link_libc) @import("std").heap.c_allocator else if (@import("builtin").os.tag == .freestanding) __koru_bare.allocator else @import("std").heap.page_allocator;
var __koru_leak_count: usize = 0;
fn __koru_alloc(ctx: *anyopaque, len: usize, alignment: @import("std").mem.Alignment, ret_addr: usize) ?[*]u8 {
_ = ctx;
const r = __koru_backing.rawAlloc(len, alignment, ret_addr);
if (comptime @import("builtin").mode == .Debug) {
if (r != null) __koru_leak_count += 1;
}
return r;
}
fn __koru_resize(ctx: *anyopaque, memory: []u8, alignment: @import("std").mem.Alignment, new_len: usize, ret_addr: usize) bool {
_ = ctx;
return __koru_backing.rawResize(memory, alignment, new_len, ret_addr);
}
fn __koru_remap(ctx: *anyopaque, memory: []u8, alignment: @import("std").mem.Alignment, new_len: usize, ret_addr: usize) ?[*]u8 {
_ = ctx;
return __koru_backing.rawRemap(memory, alignment, new_len, ret_addr);
}
fn __koru_free(ctx: *anyopaque, memory: []u8, alignment: @import("std").mem.Alignment, ret_addr: usize) void {
_ = ctx;
__koru_backing.rawFree(memory, alignment, ret_addr);
if (comptime @import("builtin").mode == .Debug) {
__koru_leak_count -= 1;
}
}
const __koru_vtable = @import("std").mem.Allocator.VTable{ .alloc = __koru_alloc, .resize = __koru_resize, .remap = __koru_remap, .free = __koru_free };
pub fn koru_allocator() @import("std").mem.Allocator {
return .{ .ptr = undefined, .vtable = &__koru_vtable };
}
pub inline fn __koru_intcast(comptime T: type, x: anytype) T {
if (comptime (@import("builtin").mode == .Debug or @import("builtin").mode == .ReleaseSafe))
return @as(T, @intCast(x));
const dst = @typeInfo(T);
const src = @typeInfo(@TypeOf(x));
if (comptime (dst == .int and src == .int and dst.int.bits == src.int.bits and dst.int.signedness != src.int.signedness))
return @as(T, @bitCast(x));
return @as(T, @intCast(x));
}
pub fn koru_leak_check() void {
if (comptime @import("builtin").mode != .Debug) return;
if (__koru_leak_count == 0) return;
if (comptime @import("builtin").target.os.tag == .freestanding) {
if (comptime @import("builtin").cpu.arch == .wasm32 or @import("builtin").cpu.arch == .wasm64) {
@panic("KORU LEAK CHECK FAILED: the produced program leaked");
} else {
const __klc = struct { extern var stdout: ?*anyopaque; extern fn fputs(__s: [*:0]const u8, __st: ?*anyopaque) c_int; };
var __lb: [128]u8 = undefined;
const __lm = "KORU LEAK CHECK FAILED: allocations still outstanding at end of run: ";
@memcpy(__lb[0..__lm.len], __lm);
var __ln: usize = __lm.len;
var __lv = __koru_leak_count;
var __ld: [20]u8 = undefined;
var __lk: usize = 0;
while (__lv > 0) : (__lk += 1) { __ld[__lk] = @intCast('0' + __lv % 10); __lv /= 10; }
for (0..__lk) |__li| { __lb[__ln] = __ld[__lk - 1 - __li]; __ln += 1; }
__lb[__ln] = '\n'; __ln += 1; __lb[__ln] = 0;
_ = __klc.fputs(@as([*:0]const u8, @ptrCast(&__lb)), __klc.stdout);
@trap();
}
} else {
@import("std").debug.print("KORU LEAK CHECK FAILED: the produced program leaked (trace above)\n", .{});
@import("std").process.exit(1);
}
}
pub const main_module = struct {
// std/store: plural store 'mats' created (SoA cell + insert/query/write/take/stripe units); fields a: f64, b: f64, c: f64, d: f64
// >>> FLOW: tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:19 ~input:__store_insert_mats()
pub fn flow0() void {
_ = main_module.__store_insert_mats_event.handler(.{ .a = 4.0, .b = 7.0, .c = 2.0, .d = 6.0, .__site_line = 19 });
}
// >>> FLOW: tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:21 ~input:__store_sweeprun_mats_L22_690_120_frame_loop_divides_f64_column_input_257559()
pub fn flow1() void {
_ = main_module.__store_sweeprun_mats_L22_690_120_frame_loop_divides_f64_column_input_257559_event.handler(.{ });
}
// >>> FLOW: tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:24 ~std.control:for()
pub fn flow2() void {
for (0..3) |__koru_item2| {
{ const _auto_6 = __koru_item2; _ = &_auto_6; _ = main_module.__store_sweeprun_mats_L26_690_120_frame_loop_divides_f64_column_input_257559_event.handler(.{ });
}
}
{ }
}
// >>> FLOW: tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:28 ~input:__store_sweeprun_mats_L29_690_120_frame_loop_divides_f64_column_input_257559()
pub fn flow3() void {
_ = main_module.__store_sweeprun_mats_L29_690_120_frame_loop_divides_f64_column_input_257559_event.handler(.{ });
}
pub fn koru_start_flow() void {
const result_0 = koru_koru.start_event.handler(.{ });
const result_0_done = result_0.done;
_ = &result_0_done;
}
pub fn koru_end_flow() void {
const result_0 = koru_koru.end_event.handler(.{ });
const result_0_done = result_0.done;
_ = &result_0_done;
}
const __KoruStoreT_mats = struct {
a: [4]f64 = undefined,
b: [4]f64 = undefined,
c: [4]f64 = undefined,
d: [4]f64 = undefined,
len: usize = 0,
};
var __koru_store_mats: __KoruStoreT_mats = .{};
const __KoruStoreRow_mats = struct { a: f64, b: f64, c: f64, d: f64 };
pub const __store_insert_mats_event = struct {
pub const Input = struct {
a: f64,
b: f64,
c: f64,
d: f64,
__site_line: i64,
};
pub const Output = void;
pub inline fn handler(__koru_event_input: @This().Input) @This().Output {
return __koru_handler_impl(__koru_event_input.a, __koru_event_input.b, __koru_event_input.c, __koru_event_input.d, __koru_event_input.__site_line);
}
fn __koru_handler_impl(__koru_p_0: f64, __koru_p_1: f64, __koru_p_2: f64, __koru_p_3: f64, __koru_p_4: i64) @This().Output {
const __koru_event_input: @This().Input = .{ .a = __koru_p_0, .b = __koru_p_1, .c = __koru_p_2, .d = __koru_p_3, .__site_line = __koru_p_4 };
// >>> PROC: __store_insert_mats [tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:17]
const a = __koru_event_input.a;
const b = __koru_event_input.b;
const c = __koru_event_input.c;
const d = __koru_event_input.d;
const __site_line = __koru_event_input.__site_line;
_ = &a;
_ = &b;
_ = &c;
_ = &d;
_ = &__site_line;
_ = &__koru_event_input;
if (__koru_store_mats.len >= 4) @panic("std/store: store 'mats' is full (capacity 4) - declared capacity and the `| full` branch are pinned at 690_011");
const __koru_new_row = __koru_store_mats.len;
__koru_store_mats.a[__koru_new_row] = a;
__koru_store_mats.b[__koru_new_row] = b;
__koru_store_mats.c[__koru_new_row] = c;
__koru_store_mats.d[__koru_new_row] = d;
__koru_store_mats.len += 1;
return;
}
};
pub const __store_apply_mats_event = struct {
pub const Input = struct {
row: usize,
field: i64,
value_0: f64,
value_1: f64,
value_2: f64,
value_3: f64,
};
pub const Output = union(enum(u8)) {
a: f64,
b: f64,
c: f64,
d: f64,
};
pub inline fn handler(__koru_event_input: @This().Input) @This().Output {
return __koru_handler_impl(__koru_event_input.row, __koru_event_input.field, __koru_event_input.value_0, __koru_event_input.value_1, __koru_event_input.value_2, __koru_event_input.value_3);
}
fn __koru_handler_impl(__koru_p_0: usize, __koru_p_1: i64, __koru_p_2: f64, __koru_p_3: f64, __koru_p_4: f64, __koru_p_5: f64) @This().Output {
const __koru_event_input: @This().Input = .{ .row = __koru_p_0, .field = __koru_p_1, .value_0 = __koru_p_2, .value_1 = __koru_p_3, .value_2 = __koru_p_4, .value_3 = __koru_p_5 };
// >>> PROC: __store_apply_mats [tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:17]
const row = __koru_event_input.row;
const field = __koru_event_input.field;
const value_0 = __koru_event_input.value_0;
const value_1 = __koru_event_input.value_1;
const value_2 = __koru_event_input.value_2;
const value_3 = __koru_event_input.value_3;
_ = &row;
_ = &field;
_ = &value_0;
_ = &value_1;
_ = &value_2;
_ = &value_3;
_ = &__koru_event_input;
const __koru_r: usize = row;
return switch (field) {
0 => blk: { __koru_store_mats.a[__koru_r] = value_0; break :blk .{ .a = value_0 }; },
1 => blk: { __koru_store_mats.b[__koru_r] = value_1; break :blk .{ .b = value_1 }; },
2 => blk: { __koru_store_mats.c[__koru_r] = value_2; break :blk .{ .c = value_2 }; },
3 => blk: { __koru_store_mats.d[__koru_r] = value_3; break :blk .{ .d = value_3 }; },
else => unreachable,
};
}
};
pub const __store_write_mats_event = struct {
pub const Input = struct {
row: usize,
field: i64,
value_0: f64,
value_1: f64,
value_2: f64,
value_3: f64,
};
pub const Output = void;
pub inline fn handler(__koru_event_input: @This().Input) @This().Output {
return __koru_handler_impl(__koru_event_input.row, __koru_event_input.field, __koru_event_input.value_0, __koru_event_input.value_1, __koru_event_input.value_2, __koru_event_input.value_3);
}
fn __koru_handler_impl(__koru_p_0: usize, __koru_p_1: i64, __koru_p_2: f64, __koru_p_3: f64, __koru_p_4: f64, __koru_p_5: f64) @This().Output {
const __koru_event_input: @This().Input = .{ .row = __koru_p_0, .field = __koru_p_1, .value_0 = __koru_p_2, .value_1 = __koru_p_3, .value_2 = __koru_p_4, .value_3 = __koru_p_5 };
// >>> SUBFLOW: tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:17
const row = __koru_event_input.row;
const field = __koru_event_input.field;
const value_0 = __koru_event_input.value_0;
const value_1 = __koru_event_input.value_1;
const value_2 = __koru_event_input.value_2;
const value_3 = __koru_event_input.value_3;
_ = &row;
_ = &field;
_ = &value_0;
_ = &value_1;
_ = &value_2;
_ = &value_3;
_ = &__koru_event_input;
const result = main_module.__store_apply_mats_event.handler(.{ .row = row, .field = field, .value_0 = value_0, .value_1 = value_1, .value_2 = value_2, .value_3 = value_3 });
return switch (result) {
.b => {},
.a => {},
.c => {},
.d => {},
};
}
};
pub const __store_sweepbody_mats_L22_690_120_frame_loop_divides_f64_column_input_257559_event = struct {
pub const Input = struct {
__koru_sdix_m_L22: usize,
};
pub const Output = void;
pub inline fn handler(__koru_event_input: @This().Input) @This().Output {
return __koru_handler_impl(__koru_event_input.__koru_sdix_m_L22);
}
fn __koru_handler_impl(__koru_p_0: usize) @This().Output {
const __koru_event_input: @This().Input = .{ .__koru_sdix_m_L22 = __koru_p_0 };
// >>> SUBFLOW: tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:21
const __koru_sdix_m_L22 = __koru_event_input.__koru_sdix_m_L22;
_ = &__koru_sdix_m_L22;
_ = &__koru_event_input;
const result = main_module.__store_write_mats_event.handler(.{ .row = __koru_sdix_m_L22, .field = 0, .value_0 = __koru_store_mats.d[__koru_sdix_m_L22] / (__koru_store_mats.a[__koru_sdix_m_L22] * __koru_store_mats.d[__koru_sdix_m_L22] - __koru_store_mats.b[__koru_sdix_m_L22] * __koru_store_mats.c[__koru_sdix_m_L22]), .value_1 = 0.0, .value_2 = 0.0, .value_3 = 0.0 });
_ = &result;
}
};
pub const __store_sweeprun_mats_L22_690_120_frame_loop_divides_f64_column_input_257559_event = struct {
pub const Input = struct {
};
pub const Output = void;
pub fn handler(__koru_event_input: @This().Input) @This().Output {
// >>> PROC: __store_sweeprun_mats_L22_690_120_frame_loop_divides_f64_column_input_257559 [tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:21]
_ = &__koru_event_input;
{
for (0..main_module.__koru_store_mats.len) |__koru_si| {
main_module.__store_sweepbody_mats_L22_690_120_frame_loop_divides_f64_column_input_257559_event.handler(.{ .__koru_sdix_m_L22 = __koru_si });
}
}
return;
}
};
pub const __store_sweepbody_mats_L26_690_120_frame_loop_divides_f64_column_input_257559_event = struct {
pub const Input = struct {
__koru_sdix_n_L26: usize,
};
pub const Output = void;
pub inline fn handler(__koru_event_input: @This().Input) @This().Output {
return __koru_handler_impl(__koru_event_input.__koru_sdix_n_L26);
}
fn __koru_handler_impl(__koru_p_0: usize) @This().Output {
const __koru_event_input: @This().Input = .{ .__koru_sdix_n_L26 = __koru_p_0 };
// >>> SUBFLOW: tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:25
const __koru_sdix_n_L26 = __koru_event_input.__koru_sdix_n_L26;
_ = &__koru_sdix_n_L26;
_ = &__koru_event_input;
const result = main_module.__store_write_mats_event.handler(.{ .row = __koru_sdix_n_L26, .field = 1, .value_0 = 0.0, .value_1 = __koru_store_mats.b[__koru_sdix_n_L26] / 2.0, .value_2 = 0.0, .value_3 = 0.0 });
_ = &result;
}
};
pub const __store_sweeprun_mats_L26_690_120_frame_loop_divides_f64_column_input_257559_event = struct {
pub const Input = struct {
};
pub const Output = void;
pub fn handler(__koru_event_input: @This().Input) @This().Output {
// >>> PROC: __store_sweeprun_mats_L26_690_120_frame_loop_divides_f64_column_input_257559 [tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:25]
_ = &__koru_event_input;
{
for (0..main_module.__koru_store_mats.len) |__koru_si| {
main_module.__store_sweepbody_mats_L26_690_120_frame_loop_divides_f64_column_input_257559_event.handler(.{ .__koru_sdix_n_L26 = __koru_si });
}
}
return;
}
};
pub const __store_sweepbody_mats_L29_690_120_frame_loop_divides_f64_column_input_257559_event = struct {
pub const Input = struct {
__koru_srf_r_L29_a: f64,
__koru_srf_r_L29_b: f64,
__koru_srf_r_L29_c: f64,
__koru_srf_r_L29_d: f64,
__koru_sdix_r_L29: usize,
};
pub const Output = void;
pub inline fn handler(__koru_event_input: @This().Input) @This().Output {
return __koru_handler_impl(__koru_event_input.__koru_srf_r_L29_a, __koru_event_input.__koru_srf_r_L29_b, __koru_event_input.__koru_srf_r_L29_c, __koru_event_input.__koru_srf_r_L29_d, __koru_event_input.__koru_sdix_r_L29);
}
fn __koru_handler_impl(__koru_p_0: f64, __koru_p_1: f64, __koru_p_2: f64, __koru_p_3: f64, __koru_p_4: usize) @This().Output {
const __koru_event_input: @This().Input = .{ .__koru_srf_r_L29_a = __koru_p_0, .__koru_srf_r_L29_b = __koru_p_1, .__koru_srf_r_L29_c = __koru_p_2, .__koru_srf_r_L29_d = __koru_p_3, .__koru_sdix_r_L29 = __koru_p_4 };
// >>> SUBFLOW: tests/regression/600_STDLIB/690_STORE/690_120_frame_loop_divides_f64_column/input.k:28
const __koru_srf_r_L29_a = __koru_event_input.__koru_srf_r_L29_a;
const __koru_srf_r_L29_b = __koru_event_input.__koru_srf_r_L29_b;
const __koru_srf_r_L29_c = __koru_event_input.__koru_srf_r_L29_c;
const __koru_srf_r_L29_d = __koru_event_input.__koru_srf_r_L29_d;
const __koru_sdix_r_L29 = __koru_event_input.__koru_sdix_r_L29;
_ = &__koru_srf_r_L29_a;
_ = &__koru_srf_r_L29_b;
_ = &__koru_srf_r_L29_c;
_ = &__koru_srf_r_L29_d;
_ = &__koru_sdix_r_L29;
_ = &__koru_event_input;
(struct { fn __kout(__fd: i32, __b: []const u8) void { if (@import("builtin").os.tag == .freestanding) { const __kc = struct { extern var stdout: ?*anyopaque; extern var stderr: ?*anyopaque; extern fn fputs(__s: [*:0]const u8, __st: ?*anyopaque) c_int; }; var __kt: [4096]u8 = undefined; for (0..(__b.len + __kt.len - 2) / (__kt.len - 1)) |__ki| { const __kn = @min(__kt.len - 1, __b.len - __ki * (__kt.len - 1)); @memcpy(__kt[0..__kn], __b[__ki * (__kt.len - 1)..][0..__kn]); __kt[__kn] = 0; @import("std").mem.doNotOptimizeAway(__kc.fputs(@as([*:0]const u8, @ptrCast(&__kt)), if (__fd == 2) __kc.stderr else __kc.stdout)); } } else { @import("std").mem.doNotOptimizeAway(@import("std").posix.write(__fd, __b) catch @as(usize, 0)); } } fn __kw(comptime __f: []const u8, __a: anytype) void { var __kb: [65536]u8 = undefined; const __ks = @import("std").fmt.bufPrint(&__kb, __f, __a) catch __kb[0..0]; __kout(1, __ks); } }).__kw("a {} b {} c {} d {}\n", .{__koru_srf_r_L29_a, __koru_srf_r_L29_b, __koru_srf_r_L29_c, __koru_srf_r_L29_d});
}
};
pub const __store_sweeprun_mats_L29_690_120_frame_loop_divides_f64_column_input_257559_event = struct {
pub const Input = struct {
};
pub const Output = void;
pub fn handler(__koru_event_input: @This().Input) @This().Output {
// >>> PROC: __store_sweeprun_mats_L29_690_120_frame_loop_divides_f64_colu
... [truncated - 22KB total]Emitted C# source
static class main_module {
public static void __koru_stdout_write(dynamic s) => global::System.Console.Out.Write(s);
public static void __koru_stderr_write(dynamic s) => global::System.Console.Error.Write(s);
// The mutable handle carrier — `*String`-style resources are
// `new __KoruBox { data = … }` because C# anonymous types are
// read-only: `s.data = …` (std/string append/clear, handle
// mutation generally) needs a settable member.
public class __KoruBox { public dynamic data; }
// Textification for `{{ … }}` operands: C# bool ToStrings as
// `True` where Koru prints `true`, and the operand's static type
// is unknown at this boundary — a `(x) is bool` inline test would
// be a compile error on statically-typed operands instead. Generic
// on purpose: `dynamic` boxed every value-type operand — measured
// ~1s/10M elements on 012_threat_scanner — while T specializes to
// the operand's own ToString() with no box.
public static string __koru_str<T>(T v) => v is bool b ? (b ? "true" : "false") : v?.ToString();
// std/store: plural store 'mats' created (SoA cell + insert/query/write/take/stripe units); fields a: f64, b: f64, c: f64, d: f64
static class __koru_store_mats {
public static double[] a = new double[4];
public static double[] b = new double[4];
public static double[] c = new double[4];
public static double[] d = new double[4];
public static long len = 0;
public static long __koru_brand = -1;
}
public static class __store_insert_mats_event {
public struct Input {
public double a;
public double b;
public double c;
public double d;
public long __site_line;
}
public static dynamic handler(Input __koru_input) {
var a = __koru_input.a;
var b = __koru_input.b;
var c = __koru_input.c;
var d = __koru_input.d;
var __site_line = __koru_input.__site_line;
if (__koru_store_mats.len >= 4) throw new global::System.Exception("std/store: store 'mats' is full (capacity 4) - declared capacity and the `| full` branch are pinned at 690_011");
long __koru_new_row = __koru_store_mats.len;
__koru_store_mats.a[__koru_new_row] = a;
__koru_store_mats.b[__koru_new_row] = b;
__koru_store_mats.c[__koru_new_row] = c;
__koru_store_mats.d[__koru_new_row] = d;
__koru_store_mats.len += 1;
return default;
}
}
public static class __store_apply_mats_event {
public struct Input {
public long row;
public long field;
public double value_0;
public double value_1;
public double value_2;
public double value_3;
}
public struct Output {
public string tag;
public double a;
public double b;
public double c;
public double d;
}
public static Output handler(Input __koru_input) {
var row = __koru_input.row;
var field = __koru_input.field;
var value_0 = __koru_input.value_0;
var value_1 = __koru_input.value_1;
var value_2 = __koru_input.value_2;
var value_3 = __koru_input.value_3;
var __koru_r = row;
switch (field) {
case 0: { __koru_store_mats.a[__koru_r] = value_0; return new Output { tag = "a", a = value_0 }; }
case 1: { __koru_store_mats.b[__koru_r] = value_1; return new Output { tag = "b", b = value_1 }; }
case 2: { __koru_store_mats.c[__koru_r] = value_2; return new Output { tag = "c", c = value_2 }; }
case 3: { __koru_store_mats.d[__koru_r] = value_3; return new Output { tag = "d", d = value_3 }; }
}
throw new global::System.Exception("__store_apply_mats: field index " + field + " is not a column of store 'mats'");
return default;
}
}
public static class __store_write_mats_event {
public struct Input {
public long row;
public long field;
public double value_0;
public double value_1;
public double value_2;
public double value_3;
}
public static dynamic handler(Input __koru_input) {
var row = __koru_input.row;
var field = __koru_input.field;
var value_0 = __koru_input.value_0;
var value_1 = __koru_input.value_1;
var value_2 = __koru_input.value_2;
var value_3 = __koru_input.value_3;
var result_0 = main_module.__store_apply_mats_event.handler(new __store_apply_mats_event.Input { row = (long)(row), field = (long)(field), value_0 = (double)(value_0), value_1 = (double)(value_1), value_2 = (double)(value_2), value_3 = (double)(value_3)});
if (result_0.tag == "a") {
var _auto_8 = result_0.a;
}
if (result_0.tag == "b") {
var _auto_9 = result_0.b;
}
if (result_0.tag == "c") {
var _auto_10 = result_0.c;
}
if (result_0.tag == "d") {
var _auto_11 = result_0.d;
}
return default;
}
}
public static class __store_sweepbody_mats_L22_690_120_frame_loop_divides_f64_column_input_257559_event {
public struct Input {
public long __koru_sdix_m_L22;
}
public static dynamic handler(Input __koru_input) {
var __koru_sdix_m_L22 = __koru_input.__koru_sdix_m_L22;
main_module.__store_write_mats_event.handler(new __store_write_mats_event.Input { row = (long)(__koru_sdix_m_L22), field = (long)(0), value_0 = (double)(__koru_store_mats.d[__koru_sdix_m_L22] / (__koru_store_mats.a[__koru_sdix_m_L22] * __koru_store_mats.d[__koru_sdix_m_L22] - __koru_store_mats.b[__koru_sdix_m_L22] * __koru_store_mats.c[__koru_sdix_m_L22])), value_1 = (double)(0.0), value_2 = (double)(0.0), value_3 = (double)(0.0)});
return default;
}
}
public static class __store_sweeprun_mats_L22_690_120_frame_loop_divides_f64_column_input_257559_event {
public struct Input {
}
public static dynamic handler(Input __koru_input) {
{
for (var __koru_si = 0; __koru_si < __koru_store_mats.len; __koru_si++) {
main_module.__store_sweepbody_mats_L22_690_120_frame_loop_divides_f64_column_input_257559_event.handler(new main_module.__store_sweepbody_mats_L22_690_120_frame_loop_divides_f64_column_input_257559_event.Input { __koru_sdix_m_L22 = __koru_si });
}
}
return default;
}
}
public static class __store_sweepbody_mats_L26_690_120_frame_loop_divides_f64_column_input_257559_event {
public struct Input {
public long __koru_sdix_n_L26;
}
public static dynamic handler(Input __koru_input) {
var __koru_sdix_n_L26 = __koru_input.__koru_sdix_n_L26;
main_module.__store_write_mats_event.handler(new __store_write_mats_event.Input { row = (long)(__koru_sdix_n_L26), field = (long)(1), value_0 = (double)(0.0), value_1 = (double)(__koru_store_mats.b[__koru_sdix_n_L26] / 2.0), value_2 = (double)(0.0), value_3 = (double)(0.0)});
return default;
}
}
public static class __store_sweeprun_mats_L26_690_120_frame_loop_divides_f64_column_input_257559_event {
public struct Input {
}
public static dynamic handler(Input __koru_input) {
{
for (var __koru_si = 0; __koru_si < __koru_store_mats.len; __koru_si++) {
main_module.__store_sweepbody_mats_L26_690_120_frame_loop_divides_f64_column_input_257559_event.handler(new main_module.__store_sweepbody_mats_L26_690_120_frame_loop_divides_f64_column_input_257559_event.Input { __koru_sdix_n_L26 = __koru_si });
}
}
return default;
}
}
public static class __store_sweepbody_mats_L29_690_120_frame_loop_divides_f64_column_input_257559_event {
public struct Input {
public double __koru_srf_r_L29_a;
public double __koru_srf_r_L29_b;
public double __koru_srf_r_L29_c;
public double __koru_srf_r_L29_d;
public long __koru_sdix_r_L29;
}
public static dynamic handler(Input __koru_input) {
var __koru_srf_r_L29_a = __koru_input.__koru_srf_r_L29_a;
var __koru_srf_r_L29_b = __koru_input.__koru_srf_r_L29_b;
var __koru_srf_r_L29_c = __koru_input.__koru_srf_r_L29_c;
var __koru_srf_r_L29_d = __koru_input.__koru_srf_r_L29_d;
var __koru_sdix_r_L29 = __koru_input.__koru_sdix_r_L29;
__koru_stdout_write("a " + __koru_str(__koru_srf_r_L29_a) + " b " + __koru_str(__koru_srf_r_L29_b) + " c " + __koru_str(__koru_srf_r_L29_c) + " d " + __koru_str(__koru_srf_r_L29_d) + "\n");
return default;
}
}
public static class __store_sweeprun_mats_L29_690_120_frame_loop_divides_f64_column_input_257559_event {
public struct Input {
}
public static dynamic handler(Input __koru_input) {
{
for (var __koru_si = 0; __koru_si < __koru_store_mats.len; __koru_si++) {
var __koru_srf_r_L29_a = __koru_store_mats.a[__koru_si];
var __koru_srf_r_L29_b = __koru_store_mats.b[__koru_si];
var __koru_srf_r_L29_c = __koru_store_mats.c[__koru_si];
var __koru_srf_r_L29_d = __koru_store_mats.d[__koru_si];
main_module.__store_sweepbody_mats_L29_690_120_frame_loop_divides_f64_column_input_257559_event.handler(new main_module.__store_sweepbody_mats_L29_690_120_frame_loop_divides_f64_column_input_257559_event.Input { __koru_srf_r_L29_a = __koru_srf_r_L29_a, __koru_srf_r_L29_b = __koru_srf_r_L29_b, __koru_srf_r_L29_c = __koru_srf_r_L29_c, __koru_srf_r_L29_d = __koru_srf_r_L29_d, __koru_sdix_r_L29 = __koru_si });
}
}
return default;
}
}
public static class std_io_print_ln_event {
public struct Input {
public dynamic expr;
public dynamic invocation;
public dynamic item;
public dynamic program;
public dynamic reporter;
public dynamic allocator;
}
public static dynamic handler(Input __koru_input) {
var expr = __koru_input.expr;
var invocation = __koru_input.invocation;
var item = __koru_input.item;
var program = __koru_input.program;
var reporter = __koru_input.reporter;
var allocator = __koru_input.allocator;
throw new global::System.Exception("ln: [transform] tor is lowered at compile time and must never be called");
}
}
public static class std_control_for_event {
public struct Input {
public dynamic expr;
public dynamic keep;
}
public struct Output {
public string tag;
public dynamic done;
}
public interface IOps {
void each(dynamic __koru_arg);
}
public static Output handler<H>(Input __koru_input, H ops) where H : struct, IOps {
void each(dynamic __koru_arg) => ops.each(__koru_arg);
var expr = __koru_input.expr;
var keep = __koru_input.keep;
throw new global::System.Exception("for: |template| proc is inlined at call sites and must never be called");
}
}
public static void flow0() {
{
var __koru_p_a = (double)(4.0);
var __koru_p_b = (double)(7.0);
var __koru_p_c = (double)(2.0);
var __koru_p_d = (double)(6.0);
var __koru_p___site_line = (long)(19);
if (__koru_store_mats.len >= 4) throw new global::System.Exception("std/store: store 'mats' is full (capacity 4) - declared capacity and the `| full` branch are pinned at 690_011");
long __koru_new_row = __koru_store_mats.len;
__koru_store_mats.a[__koru_new_row] = __koru_p_a;
__koru_store_mats.b[__koru_new_row] = __koru_p_b;
__koru_store_mats.c[__koru_new_row] = __koru_p_c;
__koru_store_mats.d[__koru_new_row] = __koru_p_d;
__koru_store_mats.len += 1;
}
}
public static void flow1() {
{
{
for (var __koru_si = 0; __koru_si < __koru_store_mats.len; __koru_si++) {
main_module.__store_sweepbody_mats_L22_690_120_frame_loop_divides_f64_column_input_257559_event.handler(new main_module.__store_sweepbody_mats_L22_690_120_frame_loop_divides_f64_column_input_257559_event.Input { __koru_sdix_m_L22 = __koru_si });
}
}
}
}
public static void flow2() {
for (long __koru_item2 = 0; __koru_item2 < 3; __koru_item2++) {
{ var _auto_6 = __koru_item2; {
{
for (var __koru_si = 0; __koru_si < __koru_store_mats.len; __koru_si++) {
main_module.__store_sweepbody_mats_L26_690_120_frame_loop_divides_f64_column_input_257559_event.handler(new main_module.__store_sweepbody_mats_L26_690_120_frame_loop_divides_f64_column_input_257559_event.Input { __koru_sdix_n_L26 = __koru_si });
}
}
}
}
}
{ }
}
public static void flow3() {
{
{
for (var __koru_si = 0; __koru_si < __koru_store_mats.len; __koru_si++) {
var __koru_srf_r_L29_a = __koru_store_mats.a[__koru_si];
var __koru_srf_r_L29_b = __koru_store_mats.b[__koru_si];
var __koru_srf_r_L29_c = __koru_store_mats.c[__koru_si];
var __koru_srf_r_L29_d = __koru_store_mats.d[__koru_si];
main_module.__store_sweepbody_mats_L29_690_120_frame_loop_divides_f64_column_input_257559_event.handler(new main_module.__store_sweepbody_mats_L29_690_120_frame_loop_divides_f64_column_input_257559_event.Input { __koru_srf_r_L29_a = __koru_srf_r_L29_a, __koru_srf_r_L29_b = __koru_srf_r_L29_b, __koru_srf_r_L29_c = __koru_srf_r_L29_c, __koru_srf_r_L29_d = __koru_srf_r_L29_d, __koru_sdix_r_L29 = __koru_si });
}
}
}
}
}
static class Program {
static void Main() {
main_module.flow0();
main_module.flow1();
main_module.flow2();
main_module.flow3();
}
}
Flows
flow ~new click a branch to expand · @labels scroll to their anchor
new (mats, capacity: 4, source: a: f64, b: f64, c: f64, d: f64)
flow ~insert click a branch to expand · @labels scroll to their anchor
insert (mats, source: a: 4.0, b: 7.0, c: 2.0, d: 6.0)
flow ~query click a branch to expand · @labels scroll to their anchor
query (mats)
flow ~for click a branch to expand · @labels scroll to their anchor
for (0..3)
flow ~query click a branch to expand · @labels scroll to their anchor
query (mats)
Test Configuration
MUST_RUN LANGUAGES: zig cs