RustedSciThe 0.4.16

Rust framework for symbolic and numerical computing:BVP ( Newton-Raphson frozen/damped/with collocations ), IVP( BDF, Radau, Backward Euler, LSODE, LSODA, RK45, DoPri), nonlinear equations ( Levenberg, Gavin) and more
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
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
1001
1002
1003
1004
1005
1006
1007
1008
1009
1010
1011
1012
1013
1014
1015
1016
1017
1018
1019
1020
1021
1022
1023
1024
1025
1026
1027
1028
1029
1030
1031
1032
1033
1034
1035
1036
1037
1038
1039
1040
1041
1042
1043
1044
1045
1046
1047
1048
1049
1050
1051
1052
1053
1054
1055
1056
1057
1058
1059
1060
1061
1062
1063
1064
1065
1066
1067
1068
1069
1070
1071
1072
1073
1074
1075
1076
1077
1078
1079
1080
1081
1082
1083
1084
1085
1086
1087
1088
1089
1090
1091
1092
1093
1094
1095
1096
1097
1098
1099
1100
1101
1102
1103
1104
1105
1106
1107
1108
1109
1110
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
1122
1123
1124
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
1148
1149
1150
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
1174
1175
1176
1177
1178
1179
1180
1181
1182
1183
1184
1185
1186
1187
1188
1189
1190
1191
1192
1193
1194
1195
1196
1197
1198
1199
1200
1201
1202
1203
1204
1205
1206
1207
1208
1209
1210
1211
1212
1213
1214
1215
1216
1217
1218
1219
1220
1221
1222
1223
1224
1225
1226
1227
1228
1229
1230
1231
1232
1233
1234
1235
1236
1237
1238
1239
1240
1241
1242
1243
1244
1245
1246
1247
1248
1249
1250
1251
1252
1253
1254
1255
1256
1257
1258
1259
1260
1261
1262
1263
1264
1265
1266
1267
1268
1269
1270
1271
1272
1273
1274
1275
1276
1277
1278
1279
1280
1281
1282
1283
1284
1285
1286
1287
1288
1289
1290
1291
1292
1293
1294
1295
1296
1297
1298
1299
1300
1301
1302
1303
1304
1305
1306
1307
1308
1309
1310
1311
1312
1313
1314
1315
1316
1317
1318
1319
1320
1321
1322
1323
1324
1325
1326
1327
1328
1329
1330
1331
1332
1333
1334
1335
1336
1337
1338
1339
1340
1341
1342
1343
1344
1345
1346
1347
1348
1349
1350
1351
1352
1353
1354
1355
1356
1357
1358
1359
1360
1361
1362
1363
1364
1365
1366
1367
1368
1369
1370
1371
1372
1373
1374
1375
1376
1377
1378
1379
1380
1381
1382
1383
1384
1385
1386
1387
1388
1389
1390
1391
1392
1393
1394
1395
1396
1397
1398
1399
1400
1401
1402
1403
1404
1405
1406
1407
1408
1409
1410
1411
1412
1413
1414
1415
1416
1417
1418
1419
1420
1421
1422
1423
1424
1425
1426
1427
1428
1429
1430
1431
1432
1433
1434
1435
1436
1437
1438
1439
1440
1441
1442
1443
1444
1445
1446
1447
1448
1449
1450
1451
1452
1453
1454
1455
1456
1457
1458
1459
1460
1461
1462
1463
1464
1465
1466
1467
1468
1469
1470
1471
1472
1473
1474
1475
1476
1477
1478
1479
1480
1481
1482
1483
1484
1485
1486
1487
1488
1489
1490
1491
1492
1493
1494
1495
1496
1497
1498
1499
1500
1501
1502
1503
1504
1505
1506
1507
1508
1509
1510
1511
1512
1513
1514
1515
1516
1517
1518
1519
1520
1521
1522
1523
1524
1525
1526
1527
1528
1529
1530
1531
1532
1533
1534
1535
1536
1537
1538
1539
1540
1541
1542
1543
1544
1545
1546
1547
1548
1549
1550
1551
1552
1553
1554
1555
1556
1557
1558
1559
1560
1561
1562
1563
1564
1565
1566
1567
1568
1569
1570
1571
1572
1573
1574
1575
1576
1577
1578
1579
1580
1581
1582
use super::algorithm::Lsode2ControllerConfig;
use crate::symbolic::codegen::codegen_aot_driver::AotCodegenBackend;
use crate::symbolic::codegen::codegen_runtime_api::{
    DenseJacobianChunkingStrategy, ResidualChunkingStrategy,
    recommended_dense_jacobian_chunking_for_parallelism,
    recommended_residual_chunking_for_parallelism, recommended_row_chunking_for_parallelism,
};
use crate::symbolic::codegen::codegen_tasks::SparseChunkingStrategy;
use crate::symbolic::codegen::rust_backend::codegen_aot_build::AotBuildProfile;
use crate::symbolic::symbolic_engine::Expr;
use crate::symbolic::symbolic_ivp::SymbolicIvpAotOptions;
use crate::symbolic::symbolic_ivp_generated::{
    DenseIvpGeneratedBackendMode, SymbolicIvpAotBuildPolicy, SymbolicIvpGeneratedBackendConfig,
};
use nalgebra::{DMatrix, DVector};
use std::path::PathBuf;
use std::sync::Arc;

pub type Lsode2AnalyticalResidualCallback =
    Arc<dyn Fn(f64, &DVector<f64>) -> DVector<f64> + Send + Sync>;
pub type Lsode2AnalyticalJacobianCallback =
    Arc<dyn Fn(f64, &DVector<f64>) -> DMatrix<f64> + Send + Sync>;

#[derive(Clone)]
pub struct Lsode2AnalyticalCallbacks {
    pub residual: Lsode2AnalyticalResidualCallback,
    pub jacobian: Lsode2AnalyticalJacobianCallback,
}

/// User-facing setup for a pure numerical LSODE2 IVP.
///
/// This keeps the numerical route free from symbolic `Expr` placeholders at
/// the public API boundary. Internally LSODE2 still stores one shared
/// [`Lsode2ProblemConfig`] shape for symbolic and numerical routes, but callers
/// that already have Rust closures should not have to construct meaningless
/// symbolic equations.
#[derive(Clone)]
pub struct Lsode2NumericProblemOptions {
    pub values: Vec<String>,
    pub arg: String,
    pub t0: f64,
    pub y0: DVector<f64>,
    pub t_bound: f64,
    pub max_step: f64,
    pub rtol: f64,
    pub atol: f64,
    pub linear_system_structure: Lsode2LinearSystemStructure,
    pub linear_solver_policy: Lsode2LinearSolverPolicy,
    pub controller: Lsode2ControllerConfig,
    pub native_execution: Lsode2NativeExecutionConfig,
}

impl Lsode2NumericProblemOptions {
    #[allow(clippy::too_many_arguments)]
    pub fn new(
        values: Vec<String>,
        arg: String,
        t0: f64,
        y0: DVector<f64>,
        t_bound: f64,
        max_step: f64,
        rtol: f64,
        atol: f64,
    ) -> Self {
        Self {
            values,
            arg,
            t0,
            y0,
            t_bound,
            max_step,
            rtol,
            atol,
            linear_system_structure: Lsode2LinearSystemStructure::Sparse,
            linear_solver_policy: Lsode2LinearSolverPolicy::Auto,
            controller: Lsode2ControllerConfig::default(),
            native_execution: Lsode2NativeExecutionConfig::default(),
        }
    }

    pub fn with_linear_system_structure(mut self, structure: Lsode2LinearSystemStructure) -> Self {
        self.linear_system_structure = structure;
        self
    }

    pub fn with_linear_solver_policy(mut self, policy: Lsode2LinearSolverPolicy) -> Self {
        self.linear_solver_policy = policy;
        self
    }

    pub fn with_controller(mut self, controller: Lsode2ControllerConfig) -> Self {
        self.controller = controller;
        self
    }

    pub fn with_native_execution(mut self, native_execution: Lsode2NativeExecutionConfig) -> Self {
        self.native_execution = native_execution;
        self
    }

    pub fn with_faithful_bdf_solve(
        self,
        max_step_attempts: usize,
        max_accepted_steps: usize,
    ) -> Self {
        self.with_native_execution(Lsode2NativeExecutionConfig::faithful_bdf_solve(
            max_step_attempts,
            max_accepted_steps,
        ))
    }
}

/// Time-integration family selected by the LSODE2 facade.
///
/// The first implementation milestone routes this to the crate's tested BDF
/// engine.  Keeping the method enum explicit makes room for future LSODE-like
/// Adams/BDF switching without overloading stringly-typed options.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Lsode2Method {
    /// Variable-order BDF method, currently backed by `numerical::BDF`.
    Bdf,
}

impl Default for Lsode2Method {
    fn default() -> Self {
        Self::Bdf
    }
}

impl Lsode2Method {
    pub(crate) fn as_bdf_method_name(self) -> String {
        match self {
            Self::Bdf => "BDF".to_string(),
        }
    }

    pub fn label(self) -> &'static str {
        match self {
            Self::Bdf => "bdf",
        }
    }
}

/// Jacobian assembly/evaluation route.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Lsode2JacobianBackend {
    /// Use generated symbolic IVP machinery, including Lambdify/AOT selection.
    SymbolicGenerated,
    /// Use user-provided analytical residual/Jacobian callbacks.
    ///
    /// Current execution support is native sparse/banded solve paths.
    AnalyticClosure,
    /// Reserved for finite-difference Jacobians.
    FiniteDifference,
}

impl Default for Lsode2JacobianBackend {
    fn default() -> Self {
        Self::SymbolicGenerated
    }
}

impl Lsode2JacobianBackend {
    pub fn label(self) -> &'static str {
        match self {
            Self::SymbolicGenerated => "symbolic_generated",
            Self::AnalyticClosure => "analytic_closure",
            Self::FiniteDifference => "finite_difference",
        }
    }
}

/// Linear solver backend used for Newton systems.
///
/// Dense mode keeps the legacy dense Jacobian route. Sparse and banded modes
/// install native symbolic Jacobian evaluators in the reused BDF engine, so
/// Newton systems can be assembled and factored without a dense matrix
/// round-trip.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Lsode2LinearSolverBackend {
    /// Dense generated/lambdified Jacobian plus nalgebra dense LU.
    Dense,
    /// Native sparse triplet Jacobian plus `faer` sparse LU.
    SparseFaer,
    /// Native banded Jacobian plus faithful LAPACK-style banded LU.
    BandedFaithful,
}

impl Default for Lsode2LinearSolverBackend {
    fn default() -> Self {
        Self::Dense
    }
}

impl Lsode2LinearSolverBackend {
    pub fn label(self) -> &'static str {
        match self {
            Self::Dense => "dense_lu",
            Self::SparseFaer => "faer_sparse_lu",
            Self::BandedFaithful => "lapack_faithful_banded_lu",
        }
    }
}

/// Symbolic expression assembly backend.
#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)]
pub enum Lsode2SymbolicAssemblyBackend {
    /// Legacy expression traversal backend.
    #[default]
    ExprLegacy,
    /// Packed `AtomView` symbolic backend.
    AtomView,
}

impl Lsode2SymbolicAssemblyBackend {
    pub fn label(self) -> &'static str {
        match self {
            Self::ExprLegacy => "expr_legacy",
            Self::AtomView => "atom_view",
        }
    }
}

/// Symbolic execution mode for residual/Jacobian callbacks.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Lsode2SymbolicExecutionMode {
    LambdifyExpr,
    Aot {
        toolchain: Lsode2AotToolchain,
        profile: Lsode2AotProfile,
    },
}

impl Default for Lsode2SymbolicExecutionMode {
    fn default() -> Self {
        Self::LambdifyExpr
    }
}

impl Lsode2SymbolicExecutionMode {
    pub fn label(self) -> &'static str {
        match self {
            Self::LambdifyExpr => "lambdify_expr",
            Self::Aot { .. } => "aot",
        }
    }
}

#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)]
pub enum Lsode2AotToolchain {
    #[default]
    CGcc,
    CTcc,
    Zig,
    Rust,
}

impl Lsode2AotToolchain {
    pub fn label(self) -> &'static str {
        match self {
            Self::CGcc => "c_gcc",
            Self::CTcc => "c_tcc",
            Self::Zig => "zig",
            Self::Rust => "rust",
        }
    }
}

#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)]
pub enum Lsode2AotProfile {
    Debug,
    #[default]
    Release,
}

impl Lsode2AotProfile {
    pub fn label(self) -> &'static str {
        match self {
            Self::Debug => "debug",
            Self::Release => "release",
        }
    }
}

/// Residual/Jacobian source declaration for LSODE2.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Lsode2ResidualJacobianSource {
    Analytical,
    Symbolic {
        assembly: Lsode2SymbolicAssemblyBackend,
        execution: Lsode2SymbolicExecutionMode,
    },
}

impl Default for Lsode2ResidualJacobianSource {
    fn default() -> Self {
        Self::Symbolic {
            assembly: Lsode2SymbolicAssemblyBackend::ExprLegacy,
            execution: Lsode2SymbolicExecutionMode::LambdifyExpr,
        }
    }
}

impl Lsode2ResidualJacobianSource {
    pub fn label(self) -> &'static str {
        match self {
            Self::Analytical => "analytical",
            Self::Symbolic { .. } => "symbolic",
        }
    }
}

/// Jacobian/Newton-system structure used by LSODE2 linear backend policy.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Lsode2LinearSystemStructure {
    Dense,
    Sparse,
    Banded { kl: usize, ku: usize },
}

impl Default for Lsode2LinearSystemStructure {
    fn default() -> Self {
        Self::Dense
    }
}

impl Lsode2LinearSystemStructure {
    pub fn label(self) -> &'static str {
        match self {
            Self::Dense => "dense",
            Self::Sparse => "sparse",
            Self::Banded { .. } => "banded",
        }
    }
}

#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Lsode2LinearSolverChoice {
    DenseLu,
    FaerSparseLu,
    LapackFaithfulBandedLu,
}

impl Lsode2LinearSolverChoice {
    pub fn label(self) -> &'static str {
        match self {
            Self::DenseLu => "dense_lu",
            Self::FaerSparseLu => "faer_sparse_lu",
            Self::LapackFaithfulBandedLu => "lapack_faithful_banded_lu",
        }
    }

    pub fn to_backend(self) -> Lsode2LinearSolverBackend {
        match self {
            Self::DenseLu => Lsode2LinearSolverBackend::Dense,
            Self::FaerSparseLu => Lsode2LinearSolverBackend::SparseFaer,
            Self::LapackFaithfulBandedLu => Lsode2LinearSolverBackend::BandedFaithful,
        }
    }
}

#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)]
pub enum Lsode2LinearSolverPolicy {
    #[default]
    Auto,
    Force(Lsode2LinearSolverChoice),
}

#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Lsode2StopComparator {
    GreaterEqual,
    LessEqual,
    AbsDistance,
}

impl Lsode2StopComparator {
    pub fn label(self) -> &'static str {
        match self {
            Self::GreaterEqual => "ge",
            Self::LessEqual => "le",
            Self::AbsDistance => "abs_distance",
        }
    }
}

#[derive(Debug, Clone, PartialEq)]
pub struct Lsode2StopCondition {
    pub variable: String,
    pub target: f64,
    pub comparator: Lsode2StopComparator,
    pub tolerance: f64,
}

impl Lsode2StopCondition {
    pub fn greater_equal(variable: impl Into<String>, target: f64) -> Self {
        Self {
            variable: variable.into(),
            target,
            comparator: Lsode2StopComparator::GreaterEqual,
            tolerance: 0.0,
        }
    }

    pub fn less_equal(variable: impl Into<String>, target: f64) -> Self {
        Self {
            variable: variable.into(),
            target,
            comparator: Lsode2StopComparator::LessEqual,
            tolerance: 0.0,
        }
    }

    pub fn abs_distance(variable: impl Into<String>, target: f64, tolerance: f64) -> Self {
        Self {
            variable: variable.into(),
            target,
            comparator: Lsode2StopComparator::AbsDistance,
            tolerance: tolerance.abs(),
        }
    }
}

/// Resolved backend plan after policy/validation.
#[derive(Debug, Clone, PartialEq, Eq)]
pub struct Lsode2ResolvedPlan {
    pub source: Lsode2ResidualJacobianSource,
    pub structure: Lsode2LinearSystemStructure,
    pub linear_solver: Lsode2LinearSolverChoice,
    pub linear_solver_reason: &'static str,
}

/// Optional solver-owned native execution hook for LSODE2.
///
/// This does not replace the current bridge-backed `solve()` path yet.
/// Instead it allows the solver to run a bounded native sparse/banded stepping
/// fragment under explicit configuration, so native execution can mature behind
/// a stable API before it becomes the default path.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum Lsode2NativeExecutionConfig {
    /// Execute through the legacy bridge-backed BDF solver path.
    BridgeSolve,
    /// Compatibility alias for bridge-backed solve path.
    Disabled,
    ProbeBeforeBridge {
        max_step_attempts: usize,
        max_accepted_steps: usize,
    },
    NativeSolve {
        max_step_attempts: usize,
        max_accepted_steps: usize,
    },
}

impl Default for Lsode2NativeExecutionConfig {
    fn default() -> Self {
        Self::native_solve(200_000, 200_000)
    }
}

impl Lsode2NativeExecutionConfig {
    pub fn bridge_solve() -> Self {
        Self::BridgeSolve
    }

    /// Compatibility alias for [`Self::bridge_solve`].
    pub fn disabled() -> Self {
        Self::bridge_solve()
    }

    pub fn probe_before_bridge(max_step_attempts: usize, max_accepted_steps: usize) -> Self {
        Self::ProbeBeforeBridge {
            max_step_attempts: max_step_attempts.max(1),
            max_accepted_steps: max_accepted_steps.max(1),
        }
    }

    /// Compatibility alias for [`Self::probe_before_bridge`].
    pub fn preview_before_bridge(max_step_attempts: usize, max_accepted_steps: usize) -> Self {
        Self::probe_before_bridge(max_step_attempts, max_accepted_steps)
    }

    /// Runs the LSODE2-native sparse/banded step engine as the active solve
    /// path.
    ///
    /// This is the preferred API name for native execution mode. The legacy
    /// `experimental_native_solve` constructor remains as a compatibility alias.
    pub fn native_solve(max_step_attempts: usize, max_accepted_steps: usize) -> Self {
        Self::NativeSolve {
            max_step_attempts: max_step_attempts.max(1),
            max_accepted_steps: max_accepted_steps.max(1),
        }
    }

    /// Preferred naming for the LSODE2 faithful native BDF solve path.
    pub fn faithful_bdf_solve(max_step_attempts: usize, max_accepted_steps: usize) -> Self {
        Self::native_solve(max_step_attempts, max_accepted_steps)
    }

    /// Compatibility alias for [`Self::native_solve`].
    pub fn experimental_native_solve(max_step_attempts: usize, max_accepted_steps: usize) -> Self {
        Self::native_solve(max_step_attempts, max_accepted_steps)
    }
}

/// Backend configuration for LSODE2.
///
/// This groups the knobs that were missing from the old LSODE prototype.
/// `generated_backend` controls the symbolic residual lifecycle for every mode.
/// In dense mode it prepares residual + dense Jacobian together. In native
/// sparse/banded modes residuals are prepared through Lambdify/AOT and Jacobians
/// stay in native sparse-triplet/compact-banded storage; for symbolic AOT
/// execution, Jacobian value callbacks are also prepared from compiled sparse AOT
/// runtime backends.
#[derive(Clone)]
pub struct Lsode2BackendConfig {
    pub jacobian_backend: Lsode2JacobianBackend,
    pub linear_solver_backend: Lsode2LinearSolverBackend,
    pub generated_backend: SymbolicIvpGeneratedBackendConfig,
}

impl Default for Lsode2BackendConfig {
    fn default() -> Self {
        Self {
            jacobian_backend: Lsode2JacobianBackend::SymbolicGenerated,
            linear_solver_backend: Lsode2LinearSolverBackend::Dense,
            generated_backend: SymbolicIvpGeneratedBackendConfig::defaults(),
        }
    }
}

impl Lsode2BackendConfig {
    /// Dense symbolic route: generated/lambdified residual and dense Jacobian,
    /// followed by the legacy dense LU backend.
    pub fn dense_symbolic_defaults() -> Self {
        Self::default()
    }

    /// Dense symbolic route with a high-level generated-backend lifecycle mode.
    pub fn dense_symbolic_mode(mode: DenseIvpGeneratedBackendMode) -> Self {
        Self::dense_symbolic_defaults().with_dense_generated_backend_mode(mode)
    }

    /// Dense symbolic route using compiled dense IVP callbacks via `C + tcc`.
    ///
    /// This preset optimizes for low AOT build/startup latency. It is a dense
    /// Jacobian route, not the native sparse/banded LSODE2 path.
    pub fn dense_aot_c_tcc(output_parent_dir: impl Into<PathBuf>) -> Self {
        Self::dense_symbolic_defaults().with_dense_generated_backend_c_tcc(output_parent_dir)
    }

    /// Dense symbolic route using compiled dense IVP callbacks via `C + gcc`.
    ///
    /// This is the runtime-oriented dense AOT preset for repeated solves.
    pub fn dense_aot_c_gcc(output_parent_dir: impl Into<PathBuf>) -> Self {
        Self::dense_symbolic_defaults().with_dense_generated_backend_c_gcc(output_parent_dir)
    }

    /// Dense symbolic route using compiled dense IVP callbacks via Zig.
    pub fn dense_aot_zig(output_parent_dir: impl Into<PathBuf>) -> Self {
        Self::dense_symbolic_defaults().with_dense_generated_backend_zig(output_parent_dir)
    }

    /// Dense symbolic route with the crate's repeated-solve AOT preset.
    pub fn dense_aot_for_repeated_solves(output_parent_dir: impl Into<PathBuf>) -> Self {
        Self::dense_symbolic_defaults()
            .with_dense_generated_backend_for_repeated_solves(output_parent_dir)
    }

    /// Native sparse route: symbolic residual plus symbolic sparse Jacobian
    /// triplets factored by `faer` sparse LU.
    ///
    /// This path intentionally avoids constructing a dense Jacobian. Attach a
    /// generated backend config when you want residual AOT while keeping the
    /// Jacobian native sparse.
    pub fn native_sparse_faer() -> Self {
        Self::default().with_linear_solver_backend(Lsode2LinearSolverBackend::SparseFaer)
    }

    /// Native sparse route with explicit Lambdify/AOT residual lifecycle config.
    pub fn native_sparse_faer_with_generated_backend(
        config: SymbolicIvpGeneratedBackendConfig,
    ) -> Self {
        Self::native_sparse_faer().with_generated_backend(config)
    }

    /// Native sparse route with AOT lifecycle via `C + tcc`.
    ///
    /// With `residual_jacobian_source = Symbolic { execution = Aot { .. } }`,
    /// both residual and sparse Jacobian values are compiled and linked.
    pub fn native_sparse_faer_aot_c_tcc(output_parent_dir: impl Into<PathBuf>) -> Self {
        Self::native_sparse_faer_with_generated_backend(
            SymbolicIvpGeneratedBackendConfig::build_if_missing_release(output_parent_dir)
                .with_c_tcc(),
        )
    }

    /// Native sparse route with AOT lifecycle via `C + gcc`.
    pub fn native_sparse_faer_aot_c_gcc(output_parent_dir: impl Into<PathBuf>) -> Self {
        Self::native_sparse_faer_with_generated_backend(
            SymbolicIvpGeneratedBackendConfig::build_if_missing_release(output_parent_dir)
                .with_c_gcc(),
        )
    }

    /// Native sparse route with AOT lifecycle via Zig.
    pub fn native_sparse_faer_aot_zig(output_parent_dir: impl Into<PathBuf>) -> Self {
        Self::native_sparse_faer_with_generated_backend(
            SymbolicIvpGeneratedBackendConfig::build_if_missing_release(output_parent_dir)
                .with_zig(),
        )
    }

    /// Native banded route: symbolic residual plus symbolic compact-banded
    /// Jacobian factored by the faithful LAPACK-style banded LU.
    ///
    /// This is the preferred banded LSODE2 backend once the problem structure is
    /// actually banded. It avoids dense Jacobian materialization. Attach a
    /// generated backend config when you want residual AOT while keeping the
    /// Jacobian native banded.
    pub fn native_banded_faithful() -> Self {
        Self::default().with_linear_solver_backend(Lsode2LinearSolverBackend::BandedFaithful)
    }

    /// Native banded route with explicit Lambdify/AOT residual lifecycle config.
    pub fn native_banded_faithful_with_generated_backend(
        config: SymbolicIvpGeneratedBackendConfig,
    ) -> Self {
        Self::native_banded_faithful().with_generated_backend(config)
    }

    /// Native banded route with AOT lifecycle via `C + tcc`.
    ///
    /// With `residual_jacobian_source = Symbolic { execution = Aot { .. } }`,
    /// Jacobian values are sourced from compiled sparse AOT callbacks and mapped
    /// into compact banded storage.
    pub fn native_banded_faithful_aot_c_tcc(output_parent_dir: impl Into<PathBuf>) -> Self {
        Self::native_banded_faithful_with_generated_backend(
            SymbolicIvpGeneratedBackendConfig::build_if_missing_release(output_parent_dir)
                .with_c_tcc(),
        )
    }

    /// Native banded route with AOT lifecycle via `C + gcc`.
    pub fn native_banded_faithful_aot_c_gcc(output_parent_dir: impl Into<PathBuf>) -> Self {
        Self::native_banded_faithful_with_generated_backend(
            SymbolicIvpGeneratedBackendConfig::build_if_missing_release(output_parent_dir)
                .with_c_gcc(),
        )
    }

    /// Native banded route with AOT lifecycle via Zig.
    pub fn native_banded_faithful_aot_zig(output_parent_dir: impl Into<PathBuf>) -> Self {
        Self::native_banded_faithful_with_generated_backend(
            SymbolicIvpGeneratedBackendConfig::build_if_missing_release(output_parent_dir)
                .with_zig(),
        )
    }

    pub fn with_generated_backend(mut self, config: SymbolicIvpGeneratedBackendConfig) -> Self {
        self.generated_backend = config;
        self
    }

    /// Overrides generated-backend AOT chunking options.
    ///
    /// This controls how generated residual/Jacobian kernels are split into
    /// runtime chunks. It is useful when tuning backend-level parallel work
    /// granularity.
    pub fn with_generated_backend_aot_options(mut self, options: SymbolicIvpAotOptions) -> Self {
        self.generated_backend = self.generated_backend.clone().with_aot_options(options);
        self
    }

    /// Overrides sparse-Jacobian chunking for native sparse/banded generated
    /// Jacobian callbacks.
    pub fn with_generated_backend_sparse_chunking_strategy(
        mut self,
        strategy: SparseChunkingStrategy,
    ) -> Self {
        self.generated_backend = self
            .generated_backend
            .clone()
            .with_sparse_jacobian_chunking_strategy(strategy);
        self
    }

    /// Sets explicit target chunk counts for generated residual and dense
    /// Jacobian runtime plans.
    ///
    /// This is a direct, deterministic way to control generated backend
    /// parallel granularity without relying on machine-dependent auto sizing.
    pub fn with_generated_backend_target_chunks(
        self,
        residual_target_chunks: usize,
        jacobian_target_chunks: usize,
    ) -> Self {
        assert!(
            residual_target_chunks > 0,
            "residual_target_chunks must be positive"
        );
        assert!(
            jacobian_target_chunks > 0,
            "jacobian_target_chunks must be positive"
        );
        self.with_generated_backend_aot_options(SymbolicIvpAotOptions {
            residual_strategy: ResidualChunkingStrategy::ByTargetChunkCount {
                target_chunks: residual_target_chunks,
            },
            jacobian_strategy: DenseJacobianChunkingStrategy::ByTargetChunkCount {
                target_chunks: jacobian_target_chunks,
            },
        })
        .with_generated_backend_sparse_chunking_strategy(
            SparseChunkingStrategy::ByTargetChunkCount {
                target_chunks: jacobian_target_chunks,
            },
        )
    }

    /// Applies one high-level dense generated-backend lifecycle mode.
    pub fn with_dense_generated_backend_mode(mut self, mode: DenseIvpGeneratedBackendMode) -> Self {
        let mut config = SymbolicIvpGeneratedBackendConfig::from_mode(mode);
        config.resolver = self.generated_backend.resolver.clone();
        config.aot_options = self.generated_backend.aot_options;
        config.sparse_jacobian_chunking_strategy =
            self.generated_backend.sparse_jacobian_chunking_strategy;
        config.aot_codegen_backend = self.generated_backend.aot_codegen_backend;
        config.aot_c_compiler = self.generated_backend.aot_c_compiler.clone();
        config.output_parent_dir = self.generated_backend.output_parent_dir.clone();
        config.crate_name_override = self.generated_backend.crate_name_override.clone();
        config.module_name_override = self.generated_backend.module_name_override.clone();
        self.generated_backend = config;
        self
    }

    /// Uses compiled dense IVP callbacks via `C + tcc`.
    pub fn with_dense_generated_backend_c_tcc(self, output_parent_dir: impl Into<PathBuf>) -> Self {
        self.with_generated_backend(
            SymbolicIvpGeneratedBackendConfig::build_if_missing_release(output_parent_dir)
                .with_c_tcc(),
        )
    }

    /// Uses compiled dense IVP callbacks via `C + gcc`.
    pub fn with_dense_generated_backend_c_gcc(self, output_parent_dir: impl Into<PathBuf>) -> Self {
        self.with_generated_backend(
            SymbolicIvpGeneratedBackendConfig::build_if_missing_release(output_parent_dir)
                .with_c_gcc(),
        )
    }

    /// Uses compiled dense IVP callbacks via Zig.
    pub fn with_dense_generated_backend_zig(self, output_parent_dir: impl Into<PathBuf>) -> Self {
        self.with_generated_backend(
            SymbolicIvpGeneratedBackendConfig::build_if_missing_release(output_parent_dir)
                .with_zig(),
        )
    }

    /// Uses the dense IVP repeated-solve preset.
    pub fn with_dense_generated_backend_for_repeated_solves(
        self,
        output_parent_dir: impl Into<PathBuf>,
    ) -> Self {
        self.with_generated_backend(
            SymbolicIvpGeneratedBackendConfig::build_if_missing_release(output_parent_dir)
                .for_repeated_solves(),
        )
    }

    pub fn with_linear_solver_backend(mut self, backend: Lsode2LinearSolverBackend) -> Self {
        self.linear_solver_backend = backend;
        self
    }

    pub fn with_jacobian_backend(mut self, backend: Lsode2JacobianBackend) -> Self {
        self.jacobian_backend = backend;
        self
    }
}

/// Complete symbolic IVP setup consumed by [`crate::numerical::LSODE2::Lsode2Solver`].
#[derive(Clone)]
pub struct Lsode2ProblemConfig {
    pub eq_system: Vec<Expr>,
    pub values: Vec<String>,
    pub arg: String,
    pub equation_parameters: Option<Vec<String>>,
    pub equation_parameter_values: Option<DVector<f64>>,
    pub analytical_callbacks: Option<Lsode2AnalyticalCallbacks>,
    pub method: Lsode2Method,
    pub t0: f64,
    pub y0: DVector<f64>,
    pub t_bound: f64,
    pub max_step: f64,
    pub rtol: f64,
    pub atol: f64,
    pub jac_sparsity: Option<DMatrix<f64>>,
    pub vectorized: bool,
    pub first_step: Option<f64>,
    pub stop_conditions: Vec<Lsode2StopCondition>,
    pub residual_jacobian_source: Lsode2ResidualJacobianSource,
    pub linear_system_structure: Lsode2LinearSystemStructure,
    pub linear_solver_policy: Lsode2LinearSolverPolicy,
    pub controller: Lsode2ControllerConfig,
    pub backend: Lsode2BackendConfig,
    pub native_execution: Lsode2NativeExecutionConfig,
}

impl Lsode2ProblemConfig {
    #[allow(clippy::too_many_arguments)]
    pub fn new(
        eq_system: Vec<Expr>,
        values: Vec<String>,
        arg: String,
        t0: f64,
        y0: DVector<f64>,
        t_bound: f64,
        max_step: f64,
        rtol: f64,
        atol: f64,
    ) -> Self {
        Self {
            eq_system,
            values,
            arg,
            equation_parameters: None,
            equation_parameter_values: None,
            analytical_callbacks: None,
            method: Lsode2Method::Bdf,
            t0,
            y0,
            t_bound,
            max_step,
            rtol,
            atol,
            jac_sparsity: None,
            vectorized: false,
            first_step: None,
            stop_conditions: Vec::new(),
            residual_jacobian_source: Lsode2ResidualJacobianSource::default(),
            linear_system_structure: Lsode2LinearSystemStructure::default(),
            linear_solver_policy: Lsode2LinearSolverPolicy::default(),
            controller: Lsode2ControllerConfig::default(),
            backend: Lsode2BackendConfig::default(),
            native_execution: Lsode2NativeExecutionConfig::default(),
        }
    }

    #[allow(clippy::too_many_arguments)]
    pub fn new_numeric_fd<R>(
        values: Vec<String>,
        arg: String,
        t0: f64,
        y0: DVector<f64>,
        t_bound: f64,
        max_step: f64,
        rtol: f64,
        atol: f64,
        residual: R,
    ) -> Self
    where
        R: Fn(f64, &DVector<f64>) -> DVector<f64> + Send + Sync + 'static,
    {
        Self::new_numeric_fd_with_options(
            Lsode2NumericProblemOptions::new(values, arg, t0, y0, t_bound, max_step, rtol, atol),
            residual,
        )
    }

    #[allow(clippy::too_many_arguments)]
    pub fn new_numeric_with_jacobian<R, J>(
        values: Vec<String>,
        arg: String,
        t0: f64,
        y0: DVector<f64>,
        t_bound: f64,
        max_step: f64,
        rtol: f64,
        atol: f64,
        residual: R,
        jacobian: J,
    ) -> Self
    where
        R: Fn(f64, &DVector<f64>) -> DVector<f64> + Send + Sync + 'static,
        J: Fn(f64, &DVector<f64>) -> DMatrix<f64> + Send + Sync + 'static,
    {
        Self::new_numeric_with_jacobian_options(
            Lsode2NumericProblemOptions::new(values, arg, t0, y0, t_bound, max_step, rtol, atol),
            residual,
            jacobian,
        )
    }

    pub fn new_numeric_fd_with_options<R>(options: Lsode2NumericProblemOptions, residual: R) -> Self
    where
        R: Fn(f64, &DVector<f64>) -> DVector<f64> + Send + Sync + 'static,
    {
        let n = options.y0.len();
        Self::new_numeric_with_callbacks(
            options,
            residual,
            move |_t, _y: &DVector<f64>| DMatrix::zeros(n, n),
            Lsode2JacobianBackend::FiniteDifference,
        )
    }

    pub fn new_numeric_with_jacobian_options<R, J>(
        options: Lsode2NumericProblemOptions,
        residual: R,
        jacobian: J,
    ) -> Self
    where
        R: Fn(f64, &DVector<f64>) -> DVector<f64> + Send + Sync + 'static,
        J: Fn(f64, &DVector<f64>) -> DMatrix<f64> + Send + Sync + 'static,
    {
        Self::new_numeric_with_callbacks(
            options,
            residual,
            jacobian,
            Lsode2JacobianBackend::AnalyticClosure,
        )
    }

    fn new_numeric_with_callbacks<R, J>(
        options: Lsode2NumericProblemOptions,
        residual: R,
        jacobian: J,
        jacobian_backend: Lsode2JacobianBackend,
    ) -> Self
    where
        R: Fn(f64, &DVector<f64>) -> DVector<f64> + Send + Sync + 'static,
        J: Fn(f64, &DVector<f64>) -> DMatrix<f64> + Send + Sync + 'static,
    {
        assert_eq!(
            options.values.len(),
            options.y0.len(),
            "LSODE2 numerical options require one variable name per initial value"
        );
        assert!(
            matches!(
                jacobian_backend,
                Lsode2JacobianBackend::AnalyticClosure | Lsode2JacobianBackend::FiniteDifference
            ),
            "LSODE2 numerical constructors only accept analytical or finite-difference Jacobian backends"
        );

        let eq_system = vec![Expr::Const(0.0); options.y0.len()];
        let mut config = Self::new(
            eq_system,
            options.values,
            options.arg,
            options.t0,
            options.y0,
            options.t_bound,
            options.max_step,
            options.rtol,
            options.atol,
        );
        config.linear_system_structure = options.linear_system_structure;
        config.linear_solver_policy = options.linear_solver_policy;
        config.controller = options.controller;
        config.native_execution = options.native_execution;
        config.analytical_callbacks = Some(Lsode2AnalyticalCallbacks {
            residual: Arc::new(residual),
            jacobian: Arc::new(jacobian),
        });
        config.residual_jacobian_source = Lsode2ResidualJacobianSource::Analytical;
        config.backend.jacobian_backend = jacobian_backend;
        config.sync_legacy_backend_from_policy();
        config
    }

    pub fn with_controller(mut self, controller: Lsode2ControllerConfig) -> Self {
        self.controller = controller;
        self
    }

    /// Declares intent to use the non-stiff Adams family only.
    ///
    /// Bridge execution currently remains BDF-only and rejects this mode.
    /// Native execution modes (`probe_before_bridge` and `native_solve`) are
    /// allowed to run Adams-like stepping so
    /// we can mirror LSODE control-plane behavior while the native path is
    /// being hardened.
    pub fn with_adams_only_controller(self) -> Self {
        self.with_controller(Lsode2ControllerConfig::adams_only())
    }

    pub fn with_bdf_only_controller(self) -> Self {
        self.with_controller(Lsode2ControllerConfig::bdf_only())
    }

    /// Declares intent to use automatic Adams/BDF switching.
    ///
    /// Note on parity: classic `LSODE` uses a fixed method selected by `MF`
    /// (Adams or BDF). Automatic stiffness/method switching is an `LSODA`-style
    /// behavior and is therefore exposed here as an explicit opt-in extension.
    ///
    /// The current milestone still executes through the tested BDF engine and
    /// reports that fallback explicitly in [`crate::numerical::LSODE2::Lsode2SolveSummary`].
    pub fn with_automatic_adams_bdf_controller(self) -> Self {
        self.with_controller(Lsode2ControllerConfig::automatic_adams_bdf())
    }

    pub fn with_backend(mut self, backend: Lsode2BackendConfig) -> Self {
        self.backend = backend;
        self.sync_policy_fields_from_legacy_backend();
        self
    }

    pub fn with_residual_jacobian_source(mut self, source: Lsode2ResidualJacobianSource) -> Self {
        self.residual_jacobian_source = source;
        self.sync_legacy_backend_from_policy();
        self
    }

    pub fn with_linear_system_structure(mut self, structure: Lsode2LinearSystemStructure) -> Self {
        self.linear_system_structure = structure;
        self.sync_legacy_backend_from_policy();
        self
    }

    pub fn with_linear_solver_policy(mut self, policy: Lsode2LinearSolverPolicy) -> Self {
        self.linear_solver_policy = policy;
        self.sync_legacy_backend_from_policy();
        self
    }

    pub fn resolve_plan(&self) -> Lsode2ResolvedPlan {
        let linear_solver = match self.linear_solver_policy {
            Lsode2LinearSolverPolicy::Force(choice) => choice,
            Lsode2LinearSolverPolicy::Auto => match self.linear_system_structure {
                Lsode2LinearSystemStructure::Dense => Lsode2LinearSolverChoice::DenseLu,
                Lsode2LinearSystemStructure::Sparse => Lsode2LinearSolverChoice::FaerSparseLu,
                Lsode2LinearSystemStructure::Banded { .. } => {
                    Lsode2LinearSolverChoice::LapackFaithfulBandedLu
                }
            },
        };

        let linear_solver_reason = match self.linear_solver_policy {
            Lsode2LinearSolverPolicy::Force(_) => "forced_by_linear_solver_policy",
            Lsode2LinearSolverPolicy::Auto => match self.linear_system_structure {
                Lsode2LinearSystemStructure::Dense => "auto_from_linear_structure_dense",
                Lsode2LinearSystemStructure::Sparse => "auto_from_linear_structure_sparse",
                Lsode2LinearSystemStructure::Banded { .. } => "auto_from_linear_structure_banded",
            },
        };

        Lsode2ResolvedPlan {
            source: self.residual_jacobian_source,
            structure: self.linear_system_structure,
            linear_solver,
            linear_solver_reason,
        }
    }

    pub(crate) fn sync_legacy_backend_from_policy(&mut self) {
        let resolved = self.resolve_plan();
        self.backend.linear_solver_backend = resolved.linear_solver.to_backend();
        self.backend.jacobian_backend = match self.residual_jacobian_source {
            Lsode2ResidualJacobianSource::Analytical => {
                if self.backend.jacobian_backend == Lsode2JacobianBackend::FiniteDifference {
                    Lsode2JacobianBackend::FiniteDifference
                } else {
                    Lsode2JacobianBackend::AnalyticClosure
                }
            }
            Lsode2ResidualJacobianSource::Symbolic { .. } => {
                Lsode2JacobianBackend::SymbolicGenerated
            }
        };

        if let Lsode2ResidualJacobianSource::Symbolic { execution, .. } =
            self.residual_jacobian_source
        {
            match execution {
                Lsode2SymbolicExecutionMode::LambdifyExpr => {
                    self.backend.generated_backend.build_policy =
                        SymbolicIvpAotBuildPolicy::UseIfAvailable;
                }
                Lsode2SymbolicExecutionMode::Aot { toolchain, profile } => {
                    if matches!(
                        self.backend.generated_backend.build_policy,
                        SymbolicIvpAotBuildPolicy::UseIfAvailable
                    ) {
                        self.backend.generated_backend.build_policy =
                            SymbolicIvpAotBuildPolicy::BuildIfMissing {
                                profile: match profile {
                                    Lsode2AotProfile::Debug => AotBuildProfile::Debug,
                                    Lsode2AotProfile::Release => AotBuildProfile::Release,
                                },
                            };
                    }
                    match toolchain {
                        Lsode2AotToolchain::CGcc => {
                            self.backend.generated_backend.aot_codegen_backend =
                                AotCodegenBackend::C;
                            self.backend.generated_backend.aot_c_compiler = Some("gcc".to_string());
                        }
                        Lsode2AotToolchain::CTcc => {
                            self.backend.generated_backend.aot_codegen_backend =
                                AotCodegenBackend::C;
                            self.backend.generated_backend.aot_c_compiler = Some("tcc".to_string());
                        }
                        Lsode2AotToolchain::Zig => {
                            self.backend.generated_backend.aot_codegen_backend =
                                AotCodegenBackend::Zig;
                            self.backend.generated_backend.aot_c_compiler = None;
                        }
                        Lsode2AotToolchain::Rust => {
                            self.backend.generated_backend.aot_codegen_backend =
                                AotCodegenBackend::Rust;
                            self.backend.generated_backend.aot_c_compiler = None;
                        }
                    }
                    if self.backend.generated_backend.output_parent_dir.is_none()
                        && matches!(
                            self.backend.generated_backend.build_policy,
                            SymbolicIvpAotBuildPolicy::BuildIfMissing { .. }
                                | SymbolicIvpAotBuildPolicy::RebuildAlways { .. }
                        )
                    {
                        self.backend.generated_backend.output_parent_dir =
                            Some(PathBuf::from("target/lsode2-generated"));
                    }
                }
            }
        }
    }

    fn sync_policy_fields_from_legacy_backend(&mut self) {
        let preserve_analytical_source = self.analytical_callbacks.is_some()
            && self.residual_jacobian_source == Lsode2ResidualJacobianSource::Analytical;
        let (preserved_assembly, preserved_execution) = match self.residual_jacobian_source {
            Lsode2ResidualJacobianSource::Symbolic {
                assembly,
                execution,
            } => (assembly, Some(execution)),
            Lsode2ResidualJacobianSource::Analytical => {
                (Lsode2SymbolicAssemblyBackend::ExprLegacy, None)
            }
        };
        if preserve_analytical_source {
            self.residual_jacobian_source = Lsode2ResidualJacobianSource::Analytical;
            if self.backend.jacobian_backend != Lsode2JacobianBackend::FiniteDifference {
                self.backend.jacobian_backend = Lsode2JacobianBackend::AnalyticClosure;
            }
        } else {
            self.residual_jacobian_source = match self.backend.jacobian_backend {
                Lsode2JacobianBackend::SymbolicGenerated => {
                    Lsode2ResidualJacobianSource::Symbolic {
                        assembly: preserved_assembly,
                        execution: preserved_execution.unwrap_or_else(|| {
                            execution_mode_from_generated_backend(&self.backend.generated_backend)
                        }),
                    }
                }
                Lsode2JacobianBackend::AnalyticClosure => Lsode2ResidualJacobianSource::Analytical,
                Lsode2JacobianBackend::FiniteDifference => Lsode2ResidualJacobianSource::Analytical,
            };
        };

        let (structure, choice) = match self.backend.linear_solver_backend {
            Lsode2LinearSolverBackend::Dense => (
                Lsode2LinearSystemStructure::Dense,
                Lsode2LinearSolverChoice::DenseLu,
            ),
            Lsode2LinearSolverBackend::SparseFaer => (
                Lsode2LinearSystemStructure::Sparse,
                Lsode2LinearSolverChoice::FaerSparseLu,
            ),
            Lsode2LinearSolverBackend::BandedFaithful => (
                Lsode2LinearSystemStructure::Banded { kl: 0, ku: 0 },
                Lsode2LinearSolverChoice::LapackFaithfulBandedLu,
            ),
        };
        self.linear_system_structure = structure;
        self.linear_solver_policy = Lsode2LinearSolverPolicy::Force(choice);
    }

    pub fn with_native_execution(mut self, native_execution: Lsode2NativeExecutionConfig) -> Self {
        self.native_execution = native_execution;
        self
    }

    pub fn with_bridge_solve(self) -> Self {
        self.with_native_execution(Lsode2NativeExecutionConfig::bridge_solve())
    }

    pub fn with_native_preview_before_bridge(
        self,
        max_step_attempts: usize,
        max_accepted_steps: usize,
    ) -> Self {
        self.with_native_execution(Lsode2NativeExecutionConfig::probe_before_bridge(
            max_step_attempts,
            max_accepted_steps,
        ))
    }

    pub fn with_native_probe_before_bridge(
        self,
        max_step_attempts: usize,
        max_accepted_steps: usize,
    ) -> Self {
        self.with_native_execution(Lsode2NativeExecutionConfig::probe_before_bridge(
            max_step_attempts,
            max_accepted_steps,
        ))
    }

    pub fn with_experimental_native_solve(
        self,
        max_step_attempts: usize,
        max_accepted_steps: usize,
    ) -> Self {
        self.with_native_execution(Lsode2NativeExecutionConfig::experimental_native_solve(
            max_step_attempts,
            max_accepted_steps,
        ))
    }

    pub fn with_native_solve(self, max_step_attempts: usize, max_accepted_steps: usize) -> Self {
        self.with_native_execution(Lsode2NativeExecutionConfig::native_solve(
            max_step_attempts,
            max_accepted_steps,
        ))
    }

    pub fn with_faithful_bdf_solve(
        self,
        max_step_attempts: usize,
        max_accepted_steps: usize,
    ) -> Self {
        self.with_native_execution(Lsode2NativeExecutionConfig::faithful_bdf_solve(
            max_step_attempts,
            max_accepted_steps,
        ))
    }

    /// Uses dense generated/lambdified residual and dense Jacobian callbacks.
    pub fn with_dense_symbolic_backend(self) -> Self {
        self.with_backend(Lsode2BackendConfig::dense_symbolic_defaults())
    }

    /// Uses dense symbolic callbacks with a high-level generated-backend mode.
    pub fn with_dense_symbolic_backend_mode(self, mode: DenseIvpGeneratedBackendMode) -> Self {
        self.with_backend(Lsode2BackendConfig::dense_symbolic_mode(mode))
    }

    /// Uses dense symbolic callbacks compiled via `C + tcc`.
    pub fn with_dense_aot_c_tcc(self, output_parent_dir: impl Into<PathBuf>) -> Self {
        self.with_backend(Lsode2BackendConfig::dense_aot_c_tcc(output_parent_dir))
    }

    /// Uses dense symbolic callbacks compiled via `C + gcc`.
    pub fn with_dense_aot_c_gcc(self, output_parent_dir: impl Into<PathBuf>) -> Self {
        self.with_backend(Lsode2BackendConfig::dense_aot_c_gcc(output_parent_dir))
    }

    /// Uses dense symbolic callbacks compiled via Zig.
    pub fn with_dense_aot_zig(self, output_parent_dir: impl Into<PathBuf>) -> Self {
        self.with_backend(Lsode2BackendConfig::dense_aot_zig(output_parent_dir))
    }

    /// Uses the dense IVP repeated-solve AOT preset.
    pub fn with_dense_aot_for_repeated_solves(self, output_parent_dir: impl Into<PathBuf>) -> Self {
        self.with_backend(Lsode2BackendConfig::dense_aot_for_repeated_solves(
            output_parent_dir,
        ))
    }

    /// Uses native sparse symbolic Jacobian triplets plus `faer` sparse LU.
    pub fn with_native_sparse_faer_backend(self) -> Self {
        self.with_backend(Lsode2BackendConfig::native_sparse_faer())
    }

    /// Uses native sparse symbolic Jacobian triplets plus a configured residual
    /// Lambdify/AOT lifecycle.
    pub fn with_native_sparse_faer_generated_backend(
        self,
        config: SymbolicIvpGeneratedBackendConfig,
    ) -> Self {
        self.with_backend(Lsode2BackendConfig::native_sparse_faer_with_generated_backend(config))
    }

    /// Uses native sparse Jacobian storage and residual-only AOT via `C + tcc`.
    pub fn with_native_sparse_faer_aot_c_tcc(self, output_parent_dir: impl Into<PathBuf>) -> Self {
        self.with_backend(Lsode2BackendConfig::native_sparse_faer_aot_c_tcc(
            output_parent_dir,
        ))
    }

    /// Uses native sparse Jacobian storage and residual-only AOT via `C + gcc`.
    pub fn with_native_sparse_faer_aot_c_gcc(self, output_parent_dir: impl Into<PathBuf>) -> Self {
        self.with_backend(Lsode2BackendConfig::native_sparse_faer_aot_c_gcc(
            output_parent_dir,
        ))
    }

    /// Uses native sparse Jacobian storage and residual-only AOT via Zig.
    pub fn with_native_sparse_faer_aot_zig(self, output_parent_dir: impl Into<PathBuf>) -> Self {
        self.with_backend(Lsode2BackendConfig::native_sparse_faer_aot_zig(
            output_parent_dir,
        ))
    }

    /// Uses native compact-banded symbolic Jacobian plus faithful banded LU.
    pub fn with_native_banded_faithful_backend(self) -> Self {
        self.with_backend(Lsode2BackendConfig::native_banded_faithful())
    }

    /// Uses native compact-banded symbolic Jacobian plus a configured residual
    /// Lambdify/AOT lifecycle.
    pub fn with_native_banded_faithful_generated_backend(
        self,
        config: SymbolicIvpGeneratedBackendConfig,
    ) -> Self {
        self.with_backend(
            Lsode2BackendConfig::native_banded_faithful_with_generated_backend(config),
        )
    }

    /// Uses native compact-banded Jacobian storage and residual-only AOT via
    /// `C + tcc`.
    pub fn with_native_banded_faithful_aot_c_tcc(
        self,
        output_parent_dir: impl Into<PathBuf>,
    ) -> Self {
        self.with_backend(Lsode2BackendConfig::native_banded_faithful_aot_c_tcc(
            output_parent_dir,
        ))
    }

    /// Uses native compact-banded Jacobian storage and residual-only AOT via
    /// `C + gcc`.
    pub fn with_native_banded_faithful_aot_c_gcc(
        self,
        output_parent_dir: impl Into<PathBuf>,
    ) -> Self {
        self.with_backend(Lsode2BackendConfig::native_banded_faithful_aot_c_gcc(
            output_parent_dir,
        ))
    }

    /// Uses native compact-banded Jacobian storage and residual-only AOT via Zig.
    pub fn with_native_banded_faithful_aot_zig(
        self,
        output_parent_dir: impl Into<PathBuf>,
    ) -> Self {
        self.with_backend(Lsode2BackendConfig::native_banded_faithful_aot_zig(
            output_parent_dir,
        ))
    }

    pub fn with_first_step(mut self, first_step: Option<f64>) -> Self {
        self.first_step = first_step;
        self
    }

    /// Adds a stop condition with `current(variable) >= target`.
    ///
    /// Typical combustion-style usage:
    /// `with_stop_condition("eta", 0.999)`.
    pub fn with_stop_condition(self, variable: impl Into<String>, target: f64) -> Self {
        self.with_stop_condition_ge(variable, target)
    }

    pub fn with_stop_condition_ge(mut self, variable: impl Into<String>, target: f64) -> Self {
        self.stop_conditions
            .push(Lsode2StopCondition::greater_equal(variable, target));
        self
    }

    pub fn with_stop_condition_le(mut self, variable: impl Into<String>, target: f64) -> Self {
        self.stop_conditions
            .push(Lsode2StopCondition::less_equal(variable, target));
        self
    }

    pub fn with_stop_condition_abs(
        mut self,
        variable: impl Into<String>,
        target: f64,
        tolerance: f64,
    ) -> Self {
        self.stop_conditions.push(Lsode2StopCondition::abs_distance(
            variable, target, tolerance,
        ));
        self
    }

    pub fn with_jac_sparsity(mut self, jac_sparsity: Option<DMatrix<f64>>) -> Self {
        self.jac_sparsity = jac_sparsity;
        self
    }

    pub fn with_vectorized(mut self, vectorized: bool) -> Self {
        self.vectorized = vectorized;
        self
    }

    /// Declares symbolic parameter names used by the IVP right-hand side.
    ///
    /// Parameterized symbolic evaluators use the same input order as the shared
    /// IVP backend: `t, params..., y...`.
    pub fn with_equation_parameters(mut self, parameters: Vec<String>) -> Self {
        self.equation_parameters = Some(parameters);
        self
    }

    /// Installs initial numeric values for declared symbolic parameters.
    pub fn with_equation_parameter_values(mut self, values: DVector<f64>) -> Self {
        self.equation_parameter_values = Some(values);
        self
    }

    /// Installs fully analytical residual/Jacobian callbacks and switches
    /// source policy to `Analytical`.
    ///
    /// This route is currently executed through LSODE2 native sparse/banded
    /// paths (`NativeSolve`), not the dense bridge path.
    pub fn with_analytical_callbacks<R, J>(mut self, residual: R, jacobian: J) -> Self
    where
        R: Fn(f64, &DVector<f64>) -> DVector<f64> + Send + Sync + 'static,
        J: Fn(f64, &DVector<f64>) -> DMatrix<f64> + Send + Sync + 'static,
    {
        self.analytical_callbacks = Some(Lsode2AnalyticalCallbacks {
            residual: Arc::new(residual),
            jacobian: Arc::new(jacobian),
        });
        self.residual_jacobian_source = Lsode2ResidualJacobianSource::Analytical;
        self.sync_legacy_backend_from_policy();
        self
    }

    /// Overrides generated-backend AOT chunking options.
    ///
    /// This keeps chunking control at the LSODE2 config surface so callers do
    /// not need to build `SymbolicIvpGeneratedBackendConfig` manually.
    pub fn with_aot_chunking_options(mut self, options: SymbolicIvpAotOptions) -> Self {
        self.backend = self
            .backend
            .clone()
            .with_generated_backend_aot_options(options);
        self
    }

    /// Overrides sparse-Jacobian chunking for native sparse/banded generated
    /// Jacobian callbacks.
    pub fn with_aot_sparse_chunking_strategy(mut self, strategy: SparseChunkingStrategy) -> Self {
        self.backend = self
            .backend
            .clone()
            .with_generated_backend_sparse_chunking_strategy(strategy);
        self
    }

    /// Sets explicit target chunk counts for generated residual and dense
    /// Jacobian runtime plans.
    pub fn with_aot_target_chunks(
        mut self,
        residual_target_chunks: usize,
        jacobian_target_chunks: usize,
    ) -> Self {
        self.backend = self
            .backend
            .clone()
            .with_generated_backend_target_chunks(residual_target_chunks, jacobian_target_chunks);
        self
    }

    /// Chooses backend chunking from available parallelism and requested
    /// chunk-overprovisioning.
    ///
    /// `chunks_per_worker > 1` typically improves load balancing for uneven
    /// symbolic workloads by exposing more independent runtime chunks.
    pub fn with_aot_parallel_chunking(self, chunks_per_worker: usize) -> Self {
        assert!(chunks_per_worker > 0, "chunks_per_worker must be positive");
        let total_rows = self.eq_system.len().max(1);
        let options = SymbolicIvpAotOptions {
            residual_strategy: recommended_residual_chunking_for_parallelism(
                total_rows,
                chunks_per_worker,
            ),
            jacobian_strategy: recommended_dense_jacobian_chunking_for_parallelism(
                total_rows,
                chunks_per_worker,
            ),
        };
        self.with_aot_chunking_options(options)
            .with_aot_sparse_chunking_strategy(recommended_row_chunking_for_parallelism(
                total_rows,
                chunks_per_worker,
            ))
    }
}

fn execution_mode_from_generated_backend(
    backend: &SymbolicIvpGeneratedBackendConfig,
) -> Lsode2SymbolicExecutionMode {
    match backend.build_policy {
        SymbolicIvpAotBuildPolicy::UseIfAvailable => Lsode2SymbolicExecutionMode::LambdifyExpr,
        SymbolicIvpAotBuildPolicy::RequirePrebuilt
        | SymbolicIvpAotBuildPolicy::BuildIfMissing { .. }
        | SymbolicIvpAotBuildPolicy::RebuildAlways { .. } => Lsode2SymbolicExecutionMode::Aot {
            toolchain: match backend.aot_codegen_backend {
                AotCodegenBackend::C => {
                    if backend
                        .aot_c_compiler
                        .as_deref()
                        .unwrap_or("gcc")
                        .eq_ignore_ascii_case("tcc")
                    {
                        Lsode2AotToolchain::CTcc
                    } else {
                        Lsode2AotToolchain::CGcc
                    }
                }
                AotCodegenBackend::Zig => Lsode2AotToolchain::Zig,
                AotCodegenBackend::Rust => Lsode2AotToolchain::Rust,
            },
            profile: match backend.build_policy {
                SymbolicIvpAotBuildPolicy::BuildIfMissing { profile }
                | SymbolicIvpAotBuildPolicy::RebuildAlways { profile } => match profile {
                    AotBuildProfile::Debug => Lsode2AotProfile::Debug,
                    AotBuildProfile::Release => Lsode2AotProfile::Release,
                },
                SymbolicIvpAotBuildPolicy::RequirePrebuilt
                | SymbolicIvpAotBuildPolicy::UseIfAvailable => Lsode2AotProfile::Release,
            },
        },
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    fn scalar_analytical_config() -> Lsode2ProblemConfig {
        Lsode2ProblemConfig::new(
            vec![Expr::parse_expression("0")],
            vec!["y".to_string()],
            "t".to_string(),
            0.0,
            DVector::from_vec(vec![1.0]),
            1.0,
            0.1,
            1.0e-6,
            1.0e-8,
        )
        .with_analytical_callbacks(
            |_t, y: &DVector<f64>| DVector::from_vec(vec![-y[0]]),
            |_t, _y: &DVector<f64>| DMatrix::from_row_slice(1, 1, &[-1.0]),
        )
    }

    #[test]
    fn native_linear_backend_preserves_analytical_callbacks_source() {
        let sparse = scalar_analytical_config().with_native_sparse_faer_backend();
        assert_eq!(
            sparse.residual_jacobian_source,
            Lsode2ResidualJacobianSource::Analytical
        );
        assert_eq!(
            sparse.backend.jacobian_backend,
            Lsode2JacobianBackend::AnalyticClosure
        );

        let banded = scalar_analytical_config().with_native_banded_faithful_backend();
        assert_eq!(
            banded.residual_jacobian_source,
            Lsode2ResidualJacobianSource::Analytical
        );
        assert_eq!(
            banded.backend.jacobian_backend,
            Lsode2JacobianBackend::AnalyticClosure
        );
    }
}