vyre-primitives 0.6.5

Compositional primitives for vyre - marker types (always on) + Tier 2.5 LEGO substrate (feature-gated per domain).
Documentation
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
use super::region::*;

fn cluster_metadata_for_sorted(input: &[RegionTriple]) -> (Vec<u32>, Vec<u32>) {
    let mut survivors = vec![0u32; input.len()];
    let mut merged_ends = input.iter().map(|region| region.end).collect::<Vec<_>>();

    for i in 0..input.len() {
        let current = input[i];
        let has_prev_overlap = input[..i]
            .iter()
            .any(|prior| prior.pid == current.pid && prior.end >= current.start);
        if has_prev_overlap {
            continue;
        }

        survivors[i] = 1;
        let mut merged_end = current.end;
        for next in &input[i + 1..] {
            if next.pid != current.pid || next.start > merged_end {
                break;
            }
            merged_end = merged_end.max(next.end);
        }
        merged_ends[i] = merged_end;
    }

    (survivors, merged_ends)
}

fn compact_cluster_metadata(
    sorted: &[RegionTriple],
    survivors: &[u32],
    merged_ends: &[u32],
) -> Vec<RegionTriple> {
    sorted
        .iter()
        .zip(survivors.iter())
        .zip(merged_ends.iter())
        .filter_map(|((&region, &survivor), &merged_end)| {
            (survivor != 0).then(|| RegionTriple::new(region.pid, region.start, merged_end))
        })
        .collect()
}

#[test]
fn empty_input() {
    assert!(dedup_regions_cpu(vec![]).is_empty());
}

#[test]
fn single_pass_through() {
    let r = RegionTriple::new(0, 5, 10);
    assert_eq!(dedup_regions_cpu(vec![r]), vec![r]);
}

#[test]
fn exact_duplicate_collapses() {
    let r = RegionTriple::new(0, 5, 10);
    assert_eq!(dedup_regions_cpu(vec![r, r]), vec![r]);
}

#[test]
fn overlapping_same_pid_merges() {
    let a = RegionTriple::new(0, 5, 10);
    let b = RegionTriple::new(0, 7, 12);
    assert_eq!(
        dedup_regions_cpu(vec![a, b]),
        vec![RegionTriple::new(0, 5, 12)]
    );
}

#[test]
fn touching_same_pid_merges() {
    let a = RegionTriple::new(0, 5, 10);
    let b = RegionTriple::new(0, 10, 15);
    assert_eq!(
        dedup_regions_cpu(vec![a, b]),
        vec![RegionTriple::new(0, 5, 15)]
    );
}

#[test]
fn different_pids_never_merge() {
    let a = RegionTriple::new(0, 5, 10);
    let b = RegionTriple::new(1, 5, 10);
    let mut got = dedup_regions_cpu(vec![a, b]);
    got.sort_unstable();
    assert_eq!(got, vec![a, b]);
}

#[test]
fn unsorted_input_handled() {
    let a = RegionTriple::new(0, 5, 10);
    let b = RegionTriple::new(0, 7, 12);
    let c = RegionTriple::new(1, 3, 4);
    let got = dedup_regions_cpu(vec![b, a, c]);
    assert_eq!(got, vec![RegionTriple::new(0, 5, 12), c]);
}

#[test]
fn cluster_of_three_merges() {
    let a = RegionTriple::new(0, 1, 3);
    let b = RegionTriple::new(0, 2, 5);
    let c = RegionTriple::new(0, 4, 8);
    assert_eq!(
        dedup_regions_cpu(vec![a, b, c]),
        vec![RegionTriple::new(0, 1, 8)]
    );
}

#[test]
fn zero_width_matches_preserved() {
    let a = RegionTriple::new(0, 5, 5);
    let b = RegionTriple::new(1, 5, 5);
    let mut got = dedup_regions_cpu(vec![a, b]);
    got.sort_unstable();
    assert_eq!(got, vec![a, b]);
}

#[test]
fn cluster_metadata_handles_nested_short_previous_span() {
    let sorted = vec![
        RegionTriple::new(7, 0, 10),
        RegionTriple::new(7, 2, 3),
        RegionTriple::new(7, 9, 12),
        RegionTriple::new(7, 20, 25),
    ];
    let (survivors, merged_ends) = cluster_metadata_for_sorted(&sorted);

    assert_eq!(survivors, vec![1, 0, 0, 1]);
    assert_eq!(
        compact_cluster_metadata(&sorted, &survivors, &merged_ends),
        vec![RegionTriple::new(7, 0, 12), RegionTriple::new(7, 20, 25)]
    );
}

#[test]
fn generated_cluster_metadata_matches_cpu_dedup() {
    let mut state = 0xC013_CADE_u32;
    for case in 0..4096u32 {
        state = state.wrapping_mul(1_664_525).wrapping_add(1_013_904_223);
        let count = (state % 96) as usize;
        let mut input = Vec::with_capacity(count);
        for index in 0..count {
            state = state.rotate_left(5) ^ (index as u32).wrapping_mul(0x9E37_79B9);
            let pid = state % 5;
            state = state.rotate_left(7).wrapping_add(case);
            let start = state % 160;
            state = state.rotate_left(11) ^ 0x85EB_CA6B;
            let width = state % 24;
            input.push(RegionTriple::new(pid, start, start.saturating_add(width)));
        }

        let expected = dedup_regions_cpu(input.clone());
        let mut sorted = input;
        sort_regions_cpu(&mut sorted);
        let (survivors, merged_ends) = cluster_metadata_for_sorted(&sorted);
        let actual = compact_cluster_metadata(&sorted, &survivors, &merged_ends);

        assert_eq!(actual, expected, "generated region cluster case {case}");
    }
}

#[test]
fn sort_regions_cpu_matches_ord_impl() {
    let mut a = vec![
        RegionTriple::new(2, 0, 1),
        RegionTriple::new(0, 5, 10),
        RegionTriple::new(1, 3, 4),
        RegionTriple::new(0, 5, 8),
        RegionTriple::new(0, 5, 10),
    ];
    sort_regions_cpu(&mut a);
    assert_eq!(
        a,
        vec![
            RegionTriple::new(0, 5, 8),
            RegionTriple::new(0, 5, 10),
            RegionTriple::new(0, 5, 10),
            RegionTriple::new(1, 3, 4),
            RegionTriple::new(2, 0, 1),
        ]
    );
}

#[test]
fn sort_regions_cpu_is_stable_for_equal_triples() {
    let mut a = vec![
        RegionTriple::new(0, 5, 10),
        RegionTriple::new(0, 5, 10),
        RegionTriple::new(0, 5, 10),
    ];
    sort_regions_cpu(&mut a);
    assert_eq!(a.len(), 3);
    for r in &a {
        assert_eq!(*r, RegionTriple::new(0, 5, 10));
    }
}

#[test]
fn region_dedup_dispatch_grid_packs_large_match_buffers() {
    assert_eq!(region_dedup_dispatch_grid(0), [1, 1, 1]);
    assert_eq!(region_dedup_dispatch_grid(1), [1, 1, 1]);
    assert_eq!(region_dedup_dispatch_grid(256), [1, 1, 1]);
    assert_eq!(region_dedup_dispatch_grid(257), [2, 1, 1]);
    assert_eq!(region_dedup_dispatch_grid(513), [3, 1, 1]);
}

#[test]
fn dedup_regions_flag_program_emits_expected_buffers() {
    let p = dedup_regions_flag_program("pids", "starts", "ends", "survivors", 513);
    assert_eq!(p.workgroup_size, REGION_DEDUP_WORKGROUP_SIZE);
    let names: Vec<&str> = p.buffers.iter().map(|b| b.name()).collect();
    assert_eq!(names, vec!["pids", "starts", "ends", "survivors"]);
    for buf in p.buffers.iter() {
        assert_eq!(buf.count(), 513);
    }
}

#[test]
fn dedup_regions_cluster_program_emits_survivor_and_merged_end_outputs() {
    let p = dedup_regions_cluster_program("pids", "starts", "ends", "survivors", "merged", 64);
    assert_eq!(p.workgroup_size, REGION_DEDUP_WORKGROUP_SIZE);
    let names: Vec<&str> = p.buffers.iter().map(|b| b.name()).collect();
    assert_eq!(names, vec!["pids", "starts", "ends", "survivors", "merged"]);
    assert_eq!(
        p.buffers[3].access(),
        vyre_foundation::ir::BufferAccess::WriteOnly
    );
    assert_eq!(
        p.buffers[4].access(),
        vyre_foundation::ir::BufferAccess::WriteOnly
    );
}

#[test]
fn region_sort_program_emits_expected_buffers() {
    let p = region_sort_program("pi", "si", "ei", "po", "so", "eo", 64);
    assert_eq!(p.workgroup_size, [256, 1, 1]);
    let names: Vec<&str> = p.buffers.iter().map(|b| b.name()).collect();
    assert_eq!(names, vec!["pi", "si", "ei", "po", "so", "eo"]);
    for buf in p.buffers.iter() {
        assert_eq!(buf.count(), 64);
    }
}

#[test]
fn cap_regions_per_pattern_flag_program_emits_expected_buffers() {
    let p = cap_regions_per_pattern_flag_program("pids", "survivors", 3, 128);
    assert_eq!(p.workgroup_size, REGION_DEDUP_WORKGROUP_SIZE);
    let names: Vec<&str> = p.buffers.iter().map(|b| b.name()).collect();
    assert_eq!(names, vec!["pids", "survivors"]);
    assert_eq!(
        p.buffers[0].access(),
        vyre_foundation::ir::BufferAccess::ReadOnly
    );
    assert_eq!(
        p.buffers[1].access(),
        vyre_foundation::ir::BufferAccess::WriteOnly
    );
    for buf in p.buffers.iter() {
        assert_eq!(buf.count(), 128);
    }
}

/// Run the actual cap kernel IR on the reference interpreter and return the
/// survivor flags it writes (the real device program, not a host mirror).
fn eval_cap_survivors(pids: &[u32], k: u32) -> Vec<u32> {
    use std::sync::Arc;
    use vyre_reference::reference_eval;
    use vyre_reference::value::Value;

    let count = pids.len() as u32;
    let program = cap_regions_per_pattern_flag_program("pids", "survivors", k, count);
    let to_value = |data: &[u32]| Value::Bytes(Arc::from(crate::wire::pack_u32_slice(data)));
    // Binding order: pids (in), survivors (out, seeded zero).
    let inputs = vec![to_value(pids), to_value(&vec![0u32; pids.len()])];
    let results = reference_eval(&program, &inputs).expect("Fix: cap kernel interpreter failed");
    // The interpreter returns only the writable buffer(s); `survivors` is the
    // single output, so it is `results[0]`.
    results[0]
        .to_bytes()
        .chunks_exact(4)
        .map(|c| u32::from_le_bytes(c.try_into().unwrap()))
        .collect()
}

#[test]
fn cap_kernel_matches_cpu_oracle_over_random_pid_streams() {
    // Deterministic LCG (no Date/rand in primitives tests).
    let mut state = 0x2545_F491_4F6C_DD1Du64;
    let mut next = || {
        state = state
            .wrapping_mul(6364136223846793005)
            .wrapping_add(1442695040888963407);
        (state >> 33) as u32
    };
    for case in 0..400 {
        let n = (next() % 60) as usize; // include the empty-buffer case
                                        // Small pid alphabet so several matches share a pid (caps actually bite).
        let pids: Vec<u32> = (0..n).map(|_| next() % 6).collect();
        let k = next() % 5; // includes k == 0 (cap everything to nothing)

        if pids.is_empty() {
            // count == 0 yields an empty program; skip the interpreter (no buffers
            // to bind) but assert the oracle agrees it is empty.
            assert!(cap_regions_per_pattern_survivors_cpu(&pids, k).is_empty());
            continue;
        }

        let kernel = eval_cap_survivors(&pids, k);
        let oracle = cap_regions_per_pattern_survivors_cpu(&pids, k);
        assert_eq!(
            kernel, oracle,
            "case {case}: cap kernel survivor flags must equal the running-count oracle\n\
             pids={pids:?} k={k}"
        );

        // Independent property: each pid keeps exactly min(group_size, k) survivors.
        use std::collections::HashMap;
        let mut group: HashMap<u32, u32> = HashMap::new();
        for &p in &pids {
            *group.entry(p).or_insert(0) += 1;
        }
        let mut kept: HashMap<u32, u32> = HashMap::new();
        for (&p, &flag) in pids.iter().zip(kernel.iter()) {
            *kept.entry(p).or_insert(0) += flag;
        }
        for (pid, total) in group {
            assert_eq!(
                kept.get(&pid).copied().unwrap_or(0),
                total.min(k),
                "case {case}: pid {pid} must keep min(group={total}, k={k}) survivors"
            );
        }
    }
}

#[test]
fn cap_kernel_edge_k_zero_and_k_above_group() {
    // k == 0 drops everything; a k above every group keeps everything.
    let pids = [2u32, 2, 5, 2, 5, 9];
    assert_eq!(eval_cap_survivors(&pids, 0), vec![0, 0, 0, 0, 0, 0]);
    assert_eq!(eval_cap_survivors(&pids, 100), vec![1, 1, 1, 1, 1, 1]);
    // k == 2: pid 2 (3 occurrences) keeps its first two; pid 5 (2) keeps both.
    assert_eq!(eval_cap_survivors(&pids, 2), vec![1, 1, 1, 0, 1, 1]);
}

#[test]
fn region_sort_program_zero_count_traps() {
    let p = region_sort_program("pi", "si", "ei", "po", "so", "eo", 0);
    assert!(p.stats().trap());
}

/// Run one Program on the reference interpreter, returning every writable
/// buffer it produces (in binding order) decoded back to `u32`. Inputs are one
/// byte-packed value per numbered storage/output buffer, in binding order.
#[cfg(test)]
fn run_u32_program(program: &vyre_foundation::ir::Program, inputs: &[&[u32]]) -> Vec<Vec<u32>> {
    use std::sync::Arc;
    use vyre_reference::reference_eval;
    use vyre_reference::value::Value;
    let values: Vec<Value> = inputs
        .iter()
        .map(|data| Value::Bytes(Arc::from(crate::wire::pack_u32_slice(data))))
        .collect();
    let results = reference_eval(program, &values).expect("Fix: interpreter failed");
    results
        .iter()
        .map(|value| {
            value
                .to_bytes()
                .chunks_exact(4)
                .map(|c| u32::from_le_bytes(c.try_into().unwrap()))
                .collect()
        })
        .collect()
}

/// End-to-end operator path for the per-pattern cap: the device pipeline
/// `cap flags → exclusive prefix-scan → stream-compact` must produce exactly the
/// first-`k`-per-pattern matches, compacted, with the right live count, the
/// device-side post-processing W2-5 gives consumers in place of a host pass over
/// a full readback. Executes every stage on the reference interpreter (no host
/// mirror) and checks the compacted survivors against a plain host reference.
#[test]
fn cap_pipeline_compacts_first_k_per_pattern_on_device() {
    use crate::math::prefix_scan::{prefix_scan, ScanKind};
    use crate::math::stream_compact::stream_compact;

    // Input already sorted by (pid, start, end), the order region_sort_program
    // produces (so "first k in array order" is "k earliest-start per pattern").
    let triples: &[(u32, u32, u32)] = &[
        (1, 0, 4),
        (1, 10, 14),
        (1, 20, 24),
        (1, 30, 34),
        (3, 5, 9),
        (3, 15, 19),
        (7, 1, 2),
    ];
    let pids: Vec<u32> = triples.iter().map(|t| t.0).collect();
    let starts: Vec<u32> = triples.iter().map(|t| t.1).collect();
    let n = pids.len() as u32;
    let k = 2u32;

    // Stage 1 (cap flags on device).
    let survivors = run_u32_program(
        &cap_regions_per_pattern_flag_program("pids", "survivors", k, n),
        &[&pids, &vec![0u32; pids.len()]],
    )
    .remove(0);

    // Stage 2 (exclusive prefix scan of the flags (what stream_compact wants)).
    let offsets = run_u32_program(
        &prefix_scan("flags", "offsets", n, ScanKind::ExclusiveSum),
        &[&survivors, &vec![0u32; pids.len()]],
    )
    .remove(0);

    // Stage 3 (compact the pid AND start columns on the shared flags/offsets).
    let compact_pids = run_u32_program(
        &stream_compact("payloads", "flags", "offsets", "out", "live", n),
        &[
            &pids,
            &survivors,
            &offsets,
            &vec![0u32; pids.len()],
            &[0u32],
        ],
    );
    let live = compact_pids[1][0] as usize;
    let out_pids = &compact_pids[0][..live];

    let compact_starts = run_u32_program(
        &stream_compact("payloads", "flags", "offsets", "out", "live", n),
        &[
            &starts,
            &survivors,
            &offsets,
            &vec![0u32; pids.len()],
            &[0u32],
        ],
    )
    .remove(0);
    let out_starts = &compact_starts[..live];

    // Host reference: keep the first k matches of each pid in array order.
    use std::collections::HashMap;
    let mut seen: HashMap<u32, u32> = HashMap::new();
    let mut ref_pids = Vec::new();
    let mut ref_starts = Vec::new();
    for &(pid, start, _end) in triples {
        let count = seen.entry(pid).or_insert(0);
        if *count < k {
            ref_pids.push(pid);
            ref_starts.push(start);
        }
        *count += 1;
    }

    assert_eq!(
        live,
        ref_pids.len(),
        "live count must match the capped survivor count"
    );
    assert_eq!(
        out_pids,
        ref_pids.as_slice(),
        "compacted pids must be first-k-per-pattern"
    );
    assert_eq!(
        out_starts,
        ref_starts.as_slice(),
        "compacted starts must line up with their pids through the shared flags/offsets"
    );
    // pid 1 (4 matches) capped to 2, pid 3 (2) kept, pid 7 (1) kept -> 2+2+1 = 5.
    assert_eq!(live, 5);
}

#[test]
fn compact_first_per_region_pattern_flag_program_emits_expected_buffers() {
    let p = compact_first_per_region_pattern_flag_program("regions", "pids", "survivors", 128);
    assert_eq!(p.workgroup_size, REGION_DEDUP_WORKGROUP_SIZE);
    let names: Vec<&str> = p.buffers.iter().map(|b| b.name()).collect();
    assert_eq!(names, vec!["regions", "pids", "survivors"]);
    assert_eq!(
        p.buffers[0].access(),
        vyre_foundation::ir::BufferAccess::ReadOnly
    );
    assert_eq!(
        p.buffers[1].access(),
        vyre_foundation::ir::BufferAccess::ReadOnly
    );
    assert_eq!(
        p.buffers[2].access(),
        vyre_foundation::ir::BufferAccess::WriteOnly
    );
    for buf in p.buffers.iter() {
        assert_eq!(buf.count(), 128);
    }
}

/// Run the actual per-region compaction kernel IR on the reference interpreter
/// and return the survivor flags it writes (the real device program).
fn eval_compact_survivors(regions: &[u32], pids: &[u32]) -> Vec<u32> {
    use std::sync::Arc;
    use vyre_reference::reference_eval;
    use vyre_reference::value::Value;

    let count = regions.len() as u32;
    let program =
        compact_first_per_region_pattern_flag_program("regions", "pids", "survivors", count);
    let to_value = |data: &[u32]| Value::Bytes(Arc::from(crate::wire::pack_u32_slice(data)));
    // Binding order: regions (in), pids (in), survivors (out, seeded zero).
    let inputs = vec![
        to_value(regions),
        to_value(pids),
        to_value(&vec![0u32; regions.len()]),
    ];
    let results =
        reference_eval(&program, &inputs).expect("Fix: compaction kernel interpreter failed");
    // `survivors` is the single writable buffer, so it is `results[0]`.
    results[0]
        .to_bytes()
        .chunks_exact(4)
        .map(|c| u32::from_le_bytes(c.try_into().unwrap()))
        .collect()
}

#[test]
fn compact_kernel_matches_cpu_oracle_over_random_region_pid_streams() {
    // Deterministic LCG (no Date/rand in primitives tests).
    let mut state = 0x1357_9BDF_2468_ACE0u64;
    let mut next = || {
        state = state
            .wrapping_mul(6364136223846793005)
            .wrapping_add(1442695040888963407);
        (state >> 33) as u32
    };
    for case in 0..400 {
        let n = (next() % 60) as usize; // include the empty-buffer case
                                        // Small region/pid alphabets so pairs recur (compaction actually bites).
        let regions: Vec<u32> = (0..n).map(|_| next() % 5).collect();
        let pids: Vec<u32> = (0..n).map(|_| next() % 6).collect();

        if regions.is_empty() {
            // count == 0 yields an empty program; assert the oracle agrees.
            assert!(compact_first_per_region_pattern_survivors_cpu(&regions, &pids).is_empty());
            continue;
        }

        let kernel = eval_compact_survivors(&regions, &pids);
        let oracle = compact_first_per_region_pattern_survivors_cpu(&regions, &pids);
        assert_eq!(
            kernel, oracle,
            "case {case}: compaction survivor flags must equal the first-occurrence oracle\n\
             regions={regions:?} pids={pids:?}"
        );

        // Independent property: each distinct (region, pid) pair keeps exactly one.
        use std::collections::HashMap;
        let mut kept: HashMap<(u32, u32), u32> = HashMap::new();
        for ((&r, &p), &flag) in regions.iter().zip(pids.iter()).zip(kernel.iter()) {
            *kept.entry((r, p)).or_insert(0) += flag;
        }
        for (pair, total) in kept {
            assert_eq!(
                total, 1,
                "case {case}: pair {pair:?} must keep exactly one positioned representative"
            );
        }
    }
}

#[test]
fn compact_kernel_edge_first_occurrence_only() {
    // Same pid in different regions is NOT a duplicate (keyed on the pair).
    let regions = [0u32, 0, 1, 0, 1, 1];
    let pids = [7u32, 7, 7, 9, 9, 9];
    // (0,7) first @0; (0,7) again @1 drop; (1,7) first @2; (0,9) first @3;
    // (1,9) first @4; (1,9) again @5 drop.
    assert_eq!(
        eval_compact_survivors(&regions, &pids),
        vec![1, 0, 1, 1, 1, 0]
    );
    // All-distinct pairs keep everything; all-identical pair keeps only the first.
    assert_eq!(
        eval_compact_survivors(&[0, 1, 2], &[0, 1, 2]),
        vec![1, 1, 1]
    );
    assert_eq!(
        eval_compact_survivors(&[4, 4, 4], &[3, 3, 3]),
        vec![1, 0, 0]
    );
}

/// End-to-end operator path for per-region compaction: the device pipeline
/// `compact flags → exclusive prefix-scan → stream-compact` must produce exactly
/// one positioned representative per `(region, pid)` pair, the positioned form
/// of the presence-by-region bitmap, computed on device with no host group-by.
#[test]
fn compact_pipeline_first_per_region_pattern_on_device() {
    use crate::math::prefix_scan::{prefix_scan, ScanKind};
    use crate::math::stream_compact::stream_compact;

    // (region, pid, start) tuples in array order. Pairs (0,1) and (2,1) recur.
    let tuples: &[(u32, u32, u32)] = &[
        (0, 1, 4),
        (0, 1, 10), // dup of (0,1), dropped
        (0, 3, 20),
        (2, 1, 5),
        (2, 1, 15), // dup of (2,1), dropped
        (2, 3, 25),
    ];
    let regions: Vec<u32> = tuples.iter().map(|t| t.0).collect();
    let pids: Vec<u32> = tuples.iter().map(|t| t.1).collect();
    let starts: Vec<u32> = tuples.iter().map(|t| t.2).collect();
    let n = regions.len() as u32;
    let seed = vec![0u32; regions.len()];

    // Stage 1 (compaction flags on device).
    let survivors = run_u32_program(
        &compact_first_per_region_pattern_flag_program("regions", "pids", "survivors", n),
        &[&regions, &pids, &seed],
    )
    .remove(0);

    // Stage 2 (exclusive prefix scan of the flags (offsets for stream_compact)).
    let offsets = run_u32_program(
        &prefix_scan("flags", "offsets", n, ScanKind::ExclusiveSum),
        &[&survivors, &seed],
    )
    .remove(0);

    // Stage 3 (compact the start column on the shared flags/offsets).
    let compact_starts = run_u32_program(
        &stream_compact("payloads", "flags", "offsets", "out", "live", n),
        &[&starts, &survivors, &offsets, &seed, &[0u32]],
    );
    let live = compact_starts[1][0] as usize;
    let out_starts = &compact_starts[0][..live];

    // Host reference: keep the first occurrence of each (region, pid) pair.
    use std::collections::HashSet;
    let mut seen: HashSet<(u32, u32)> = HashSet::new();
    let mut ref_starts = Vec::new();
    for &(region, pid, start) in tuples {
        if seen.insert((region, pid)) {
            ref_starts.push(start);
        }
    }

    assert_eq!(
        live,
        ref_starts.len(),
        "live count must match the distinct-pair count"
    );
    assert_eq!(
        out_starts,
        ref_starts.as_slice(),
        "compacted starts must be the first-per-(region,pid) positions"
    );
    // 4 distinct pairs: (0,1) (0,3) (2,1) (2,3) -> starts 4, 20, 5, 25.
    assert_eq!(out_starts, &[4, 20, 5, 25]);
}

#[test]
fn region_sort_program_pipeline_composes_with_dedup_cluster_metadata() {
    let sort_p = region_sort_program("pi", "si", "ei", "ps", "ss", "es", 32);
    let cluster_p = dedup_regions_cluster_program("ps", "ss", "es", "flags", "merged", 32);
    let sort_outputs: Vec<&str> = sort_p
        .buffers
        .iter()
        .filter(|b| b.access() == vyre_foundation::ir::BufferAccess::ReadWrite)
        .map(|b| b.name())
        .collect();
    assert_eq!(sort_outputs, vec!["ps", "ss", "es"]);
    let cluster_inputs: Vec<&str> = cluster_p
        .buffers
        .iter()
        .filter(|b| b.access() == vyre_foundation::ir::BufferAccess::ReadOnly)
        .map(|b| b.name())
        .collect();
    assert_eq!(cluster_inputs, vec!["ps", "ss", "es"]);
}