Barretenberg
The ZK-SNARK library at the core of Aztec
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eccvm_flavor.hpp
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1// === AUDIT STATUS ===
2// internal: { status: not started, auditors: [], date: YYYY-MM-DD }
3// external_1: { status: not started, auditors: [], date: YYYY-MM-DD }
4// external_2: { status: not started, auditors: [], date: YYYY-MM-DD }
5// =====================
6
7#pragma once
30
31// NOLINTBEGIN(cppcoreguidelines-avoid-const-or-ref-data-members)
32
33namespace bb {
34
36 public:
40 using G1 = typename Curve::Group;
41 using PCS = IPA<Curve>;
42 using FF = typename Curve::ScalarField;
43 using BF = typename Curve::BaseField;
45 using GroupElement = typename G1::element;
46 using Commitment = typename G1::affine_element;
52
53 // indicates when evaluating sumcheck, edges must be extended to be MAX_PARTIAL_RELATION_LENGTH
54 static constexpr bool USE_SHORT_MONOMIALS = false;
55
56 // Indicates that this flavor runs with ZK Sumcheck.
57 static constexpr bool HasZK = true;
58 // ECCVM proof size and its recursive verifier circuit are genuinely fixed, hence no padding is needed.
59 static constexpr bool USE_PADDING = false;
60 // Fixed size of the ECCVM circuits used in Chonk
61 // Important: these constants cannot be arbitrarily changes - please consult with a member of the Crypto team if
62 // they become too small.
63 static constexpr size_t ECCVM_FIXED_SIZE = 1UL << CONST_ECCVM_LOG_N;
64
65 static constexpr size_t NUM_WIRES = 85;
66
67 // The number of entities added for ZK (gemini_masking_poly)
68 static constexpr size_t NUM_MASKING_POLYNOMIALS = 1;
69
70 // The number of multivariate polynomials on which a sumcheck prover sumcheck operates (including shifts). We often
71 // need containers of this size to hold related data, so we choose a name more agnostic than `NUM_POLYNOMIALS`.
72 // Note: this number does not include the individual sorted list polynomials.
73 // Includes gemini_masking_poly for ZK (NUM_ALL_ENTITIES = 117 + NUM_MASKING_POLYNOMIALS)
74 static constexpr size_t NUM_ALL_ENTITIES = 118;
75 // The number of polynomials precomputed to describe a circuit and to aid a prover in constructing a satisfying
76 // assignment of witnesses. We again choose a neutral name.
77 static constexpr size_t NUM_PRECOMPUTED_ENTITIES = 4;
78 // The total number of witness entities not including shifts.
79 // Includes gemini_masking_poly for ZK (NUM_WITNESS_ENTITIES = 86 + NUM_MASKING_POLYNOMIALS)
80 static constexpr size_t NUM_WITNESS_ENTITIES = 87;
81 // The number of entities in ShiftedEntities.
82 static constexpr size_t NUM_SHIFTED_ENTITIES = 26;
83 // The number of entities in DerivedWitnessEntities that are not going to be shifted.
84 static constexpr size_t NUM_DERIVED_WITNESS_ENTITIES_NON_SHIFTED = 1;
85 // A container to be fed to ShpleminiVerifier to avoid redundant scalar muls, the first number is the index of the
86 // first witness to be shifted.
92
94 // define the tuple of Relations that comprise the Sumcheck relation
95 template <typename FF>
105
106 static constexpr size_t NUM_SUBRELATIONS = compute_number_of_subrelations<Relations>();
107 using SubrelationSeparators = std::array<FF, NUM_SUBRELATIONS - 1>;
108
109 static constexpr size_t MAX_PARTIAL_RELATION_LENGTH = compute_max_partial_relation_length<Relations>();
110
111 // BATCHED_RELATION_PARTIAL_LENGTH = algebraic degree of sumcheck relation *after* multiplying by the `pow_zeta`
112 // random polynomial e.g. For \sum(x) [A(x) * B(x) + C(x)] * PowZeta(X), relation length = 2 and random relation
113 // length = 3.
114 // The degree has to be further increased by 1 because the relation is multiplied by the Row Disabling //
115 // Polynomial
117 static constexpr size_t NUM_RELATIONS = std::tuple_size<Relations>::value;
118
119 static constexpr size_t num_frs_comm = FrCodec::calc_num_fields<Commitment>();
120 static constexpr size_t num_frs_fq = FrCodec::calc_num_fields<FF>();
121
122 // Proof length formula
123 static constexpr size_t PROOF_LENGTH_WITHOUT_PUB_INPUTS =
124 /* 1. NUM_WITNESS_ENTITIES commitments */ ((NUM_WITNESS_ENTITIES + NUM_MASKING_POLYNOMIALS) * num_frs_comm) +
125 /* 2. Libra concatenation commitment*/ (num_frs_comm) +
126 /* 3. Libra sum */ (num_frs_fq) +
127 /* 4. CONST_ECCVM_LOG_N sumcheck univariates commitments */
128 (CONST_ECCVM_LOG_N * num_frs_comm) +
129 /* 5. 2 * CONST_ECCVM_LOG_N sumcheck univariate evaluations */
130 (2 * CONST_ECCVM_LOG_N * num_frs_fq) +
131 /* 6. NUM_ALL_ENTITIES sumcheck evaluations*/ (NUM_ALL_ENTITIES * num_frs_fq) +
132 /* 7. Libra claimed evaluation */ (num_frs_fq) +
133 /* 8. Libra grand sum commitment */ (num_frs_comm) +
134 /* 9. Libra quotient commitment */ (num_frs_comm) +
135 /* 10. CONST_ECCVM_LOG_N - 1 Gemini Fold commitments */
136 ((CONST_ECCVM_LOG_N - 1) * num_frs_comm) +
137 /* 11. CONST_ECCVM_LOG_N Gemini a evaluations */
138 (CONST_ECCVM_LOG_N * num_frs_fq) +
139 /* 12. NUM_SMALL_IPA_EVALUATIONS libra evals */ (NUM_SMALL_IPA_EVALUATIONS * num_frs_fq) +
140 /* 13. Shplonk Q commitment */ (num_frs_comm) +
141 /* 14. Translator concatenated masking term commitment */ (num_frs_comm) +
142 /* 15 Translator op evaluation */ (num_frs_fq) +
143 /* 16 Translator Px evaluation */ (num_frs_fq) +
144 /* 17 Translator Py evaluation */ (num_frs_fq) +
145 /* 18 Translator z1 evaluation */ (num_frs_fq) +
146 /* 19 Translator z2 evaluation */ (num_frs_fq) +
147 /* 20 Translator concatenated masking term evaluation */ (num_frs_fq) +
148 /* 21 Translator grand sum commitment */ (num_frs_comm) +
149 /* 22 Translator quotient commitment */ (num_frs_comm) +
150 /* 23 Translator concatenation eval */ (num_frs_fq) +
151 /* 24 Translator grand sum shift eval */ (num_frs_fq) +
152 /* 25 Translator grand sum eval */ (num_frs_fq) +
153 /* 26 Translator quotient eval */ (num_frs_fq) +
154 /* 27 Shplonk Q commitment */ (num_frs_comm);
155
156 // The sub-protocol `compute_translation_opening_claims` outputs an opening claim for the batched univariate
157 // evaluation of `op`, `Px`, `Py`, `z1`, and `z2`, and an array of opening claims for the evaluations of the
158 // SmallSubgroupIPA witness polynomials.
159 static constexpr size_t NUM_TRANSLATION_OPENING_CLAIMS = NUM_SMALL_IPA_EVALUATIONS + 1;
160
161 // TODO(https://github.com/AztecProtocol/barretenberg/issues/989): refine access specifiers in flavors, this is
162 // public as it is also used in the recursive flavor but the two could possibly me unified eventually
167 template <typename DataType_> class PrecomputedEntities {
168 public:
169 bool operator==(const PrecomputedEntities& other) const = default;
170 using DataType = DataType_;
172 lagrange_first, // column 0
173 lagrange_second, // column 1 - hiding op row
174 lagrange_third, // column 2 - first real op row
175 lagrange_last); // column 3
176
177 DataType get_selectors() { return get_all(); };
178 };
179
184 template <typename DataType> struct DerivedWitnessEntities {
186 z_perm, // column 0
187 lookup_inverses); // column 1
188 };
189 template <typename DataType> class WireNonShiftedEntities {
190 public:
191 DEFINE_FLAVOR_MEMBERS(DataType,
192 transcript_add, // column 0
193 transcript_eq, // column 1
194 transcript_msm_transition, // column 2
195 transcript_Px, // column 3
196 transcript_Py, // column 4
197 transcript_z1, // column 5
198 transcript_z2, // column 6
199 transcript_z1zero, // column 7
200 transcript_z2zero, // column 8
201 transcript_op, // column 9
202 transcript_msm_x, // column 10
203 transcript_msm_y, // column 11
204 precompute_point_transition, // column 12
205 precompute_s1lo, // column 13
206 precompute_s2hi, // column 14
207 precompute_s2lo, // column 15
208 precompute_s3hi, // column 16
209 precompute_s3lo, // column 17
210 precompute_s4hi, // column 18
211 precompute_s4lo, // column 19
212 precompute_skew, // column 20
213 msm_size_of_msm, // column 21
214 msm_add2, // column 22
215 msm_add3, // column 23
216 msm_add4, // column 24
217 msm_x1, // column 25
218 msm_y1, // column 26
219 msm_x2, // column 27
220 msm_y2, // column 28
221 msm_x3, // column 29
222 msm_y3, // column 30
223 msm_x4, // column 31
224 msm_y4, // column 32
225 msm_collision_x1, // column 33
226 msm_collision_x2, // column 34
227 msm_collision_x3, // column 35
228 msm_collision_x4, // column 36
229 msm_lambda1, // column 37
230 msm_lambda2, // column 38
231 msm_lambda3, // column 39
232 msm_lambda4, // column 40
233 msm_slice1, // column 41
234 msm_slice2, // column 42
235 msm_slice3, // column 43
236 msm_slice4, // column 44
237 transcript_reset_accumulator, // column 45
238 lookup_read_counts_0, // column 46
239 lookup_read_counts_1, // column 47
240 transcript_base_infinity, // column 48
241 transcript_base_x_inverse, // column 49
242 transcript_base_y_inverse, // column 50
243 transcript_add_x_equal, // column 51
244 transcript_add_y_equal, // column 52
245 transcript_add_lambda, // column 53
246 transcript_msm_intermediate_x, // column 54
247 transcript_msm_intermediate_y, // column 55
248 transcript_msm_infinity, // column 56
249 transcript_msm_x_inverse, // column 57
250 transcript_msm_count_zero_at_transition, // column 58
251 transcript_msm_count_at_transition_inverse) // column 59
252 };
253
258 template <typename DataType> class MaskingEntities {
259 public:
260 DEFINE_FLAVOR_MEMBERS(DataType, gemini_masking_poly)
261 };
262
268 template <typename DataType> class WireToBeShiftedWithoutAccumulatorsEntities {
269 public:
270 DEFINE_FLAVOR_MEMBERS(DataType,
271 transcript_mul, // column 60
272 transcript_msm_count, // column 61
273 precompute_scalar_sum, // column 62
274 precompute_s1hi, // column 63
275 precompute_dx, // column 64
276 precompute_dy, // column 65
277 precompute_tx, // column 66
278 precompute_ty, // column 67
279 msm_transition, // column 68
280 msm_add, // column 69
281 msm_double, // column 70
282 msm_skew, // column 71
283 msm_accumulator_x, // column 72
284 msm_accumulator_y, // column 73
285 msm_count, // column 74
286 msm_round, // column 75
287 msm_add1, // column 76
288 msm_pc, // column 77
289 precompute_pc, // column 78
290 transcript_pc, // column 79
291 precompute_round, // column 80
292 precompute_select) // column 81
293 };
294
299 template <typename DataType> class WireToBeShiftedAccumulatorEntities {
300 public:
301 DEFINE_FLAVOR_MEMBERS(DataType,
302 transcript_accumulator_not_empty, // column 82
303 transcript_accumulator_x, // column 83
304 transcript_accumulator_y) // column 84
305 };
306
311 template <typename DataType>
336
340 template <typename DataType> class ShiftedEntities {
341 public:
343 transcript_mul_shift, // column 0
344 transcript_msm_count_shift, // column 1
345 precompute_scalar_sum_shift, // column 2
346 precompute_s1hi_shift, // column 3
347 precompute_dx_shift, // column 4
348 precompute_dy_shift, // column 5
349 precompute_tx_shift, // column 6
350 precompute_ty_shift, // column 7
351 msm_transition_shift, // column 8
352 msm_add_shift, // column 9
353 msm_double_shift, // column 10
354 msm_skew_shift, // column 11
355 msm_accumulator_x_shift, // column 12
356 msm_accumulator_y_shift, // column 13
357 msm_count_shift, // column 14
358 msm_round_shift, // column 15
359 msm_add1_shift, // column 16
360 msm_pc_shift, // column 17
361 precompute_pc_shift, // column 18
362 transcript_pc_shift, // column 19
363 precompute_round_shift, // column 20
364 precompute_select_shift, // column 21
365 transcript_accumulator_not_empty_shift, // column 22
366 transcript_accumulator_x_shift, // column 23
367 transcript_accumulator_y_shift, // column 24
368 z_perm_shift); // column 25
369 };
370
371 template <typename DataType, typename PrecomputedAndWitnessEntitiesSuperset>
372 static auto get_to_be_shifted(PrecomputedAndWitnessEntitiesSuperset& entities)
373 {
374 // NOTE: must match order of ShiftedEntities above!
375 return RefArray{ entities.transcript_mul, // column 0
376 entities.transcript_msm_count, // column 1
377 entities.precompute_scalar_sum, // column 2
378 entities.precompute_s1hi, // column 3
379 entities.precompute_dx, // column 4
380 entities.precompute_dy, // column 5
381 entities.precompute_tx, // column 6
382 entities.precompute_ty, // column 7
383 entities.msm_transition, // column 8
384 entities.msm_add, // column 9
385 entities.msm_double, // column 10
386 entities.msm_skew, // column 11
387 entities.msm_accumulator_x, // column 12
388 entities.msm_accumulator_y, // column 13
389 entities.msm_count, // column 14
390 entities.msm_round, // column 15
391 entities.msm_add1, // column 16
392 entities.msm_pc, // column 17
393 entities.precompute_pc, // column 18
394 entities.transcript_pc, // column 19
395 entities.precompute_round, // column 20
396 entities.precompute_select, // column 21
397 entities.transcript_accumulator_not_empty, // column 22
398 entities.transcript_accumulator_x, // column 23
399 entities.transcript_accumulator_y, // column 24
400 entities.z_perm }; // column 25
401 }
402
413 template <typename DataType>
414 class AllEntities : public MaskingEntities<DataType>,
415 public PrecomputedEntities<DataType>,
416 public WitnessEntities<DataType>,
417 public ShiftedEntities<DataType> {
418 public:
429 auto get_to_be_shifted() { return ECCVMFlavor::get_to_be_shifted<DataType>(*this); }
432 };
433
438 class AllValues : public AllEntities<FF> {
439 public:
441 using Base::Base;
442 };
443
448
453
457 class ProverPolynomials : public AllEntities<Polynomial> {
458 public:
459 // Define all operations as default, except copy construction/assignment
460 ProverPolynomials() = default;
463 ProverPolynomials(ProverPolynomials&& o) noexcept = default;
466 [[nodiscard]] size_t get_polynomial_size() const { return this->lagrange_first.size(); }
467
472 AllValues get_row(const size_t row_idx) const
473 {
474 AllValues result;
475 for (auto [result_field, polynomial] : zip_view(result.get_all(), this->get_all())) {
476 result_field = polynomial[row_idx];
477 }
478 return result;
479 }
480 // Set all shifted polynomials based on their to-be-shifted counterpart
482 {
483 for (auto [shifted, to_be_shifted] : zip_view(get_shifted(), get_to_be_shifted())) {
484 shifted = to_be_shifted.shifted();
485 }
486 }
487
488#ifdef FUZZING
489 ProverPolynomials(const CircuitBuilder& builder, bool disable_fixed_dyadic_trace_size = false)
490#else
588#endif
589 {
590 // compute rows for the three different sections of the ECCVM execution trace
591 // Note: the first operation (index 0) is always a hiding op with random Px, Py values
592 const auto transcript_rows =
593 ECCVMTranscriptBuilder::compute_rows(builder.op_queue->get_eccvm_ops(), builder.get_number_of_muls());
594 const std::vector<MSM> msms = builder.get_msms();
595 const auto point_table_rows =
597 const auto result = ECCVMMSMMBuilder::compute_rows(
598 msms, builder.get_number_of_muls(), builder.op_queue->get_num_msm_rows());
599 const auto& msm_rows = std::get<0>(result);
600 const auto& point_table_read_counts = std::get<1>(result);
601
602 const size_t num_rows = std::max({ point_table_rows.size(), msm_rows.size(), transcript_rows.size() }) +
603 NUM_DISABLED_ROWS_IN_SUMCHECK;
604 vinfo("Num rows in the ECCVM: ", num_rows);
605 const auto log_num_rows = static_cast<size_t>(numeric::get_msb64(num_rows));
606 size_t dyadic_num_rows = 1UL << (log_num_rows + (1UL << log_num_rows == num_rows ? 0 : 1));
607 BB_ASSERT_LTE(dyadic_num_rows,
609 "The ECCVM circuit size has exceeded the fixed upper bound! Fixed size: " +
610 std::to_string(ECCVM_FIXED_SIZE) + " actual size: " + std::to_string(dyadic_num_rows));
611
612#ifdef FUZZING
613 // We don't want to spend all the time generating the full trace if we are just fuzzing eccvm.
614 if (disable_fixed_dyadic_trace_size) {
615 dyadic_num_rows = num_rows;
616 } else {
617 dyadic_num_rows = ECCVM_FIXED_SIZE;
618 }
619#else
620 dyadic_num_rows = ECCVM_FIXED_SIZE;
621#endif
622 size_t unmasked_witness_size = dyadic_num_rows - NUM_DISABLED_ROWS_IN_SUMCHECK;
623
624 for (auto& poly : get_to_be_shifted()) {
625 poly = Polynomial{ /*memory size*/ dyadic_num_rows - 1,
626 /*largest possible index*/ dyadic_num_rows,
627 /* offset */ 1 };
628 }
629 // allocate polynomials; define lagrange and lookup read count polynomials
630 for (auto& poly : get_all()) {
631 if (poly.is_empty()) {
632 poly = Polynomial(dyadic_num_rows);
633 }
634 }
635 lagrange_first.at(0) = 1;
636 lagrange_second.at(1) = 1;
637 lagrange_third.at(2) = 1;
638 lagrange_last.at(unmasked_witness_size - 1) = 1;
639 for (size_t i = 0; i < point_table_read_counts[0].size(); ++i) {
640 // Explanation of off-by-one offset:
641 // When computing the WNAF slice for a point at point counter value `pc` and a round index `round`, the
642 // row number that computes the slice can be derived. This row number is then mapped to the index of
643 // `lookup_read_counts`. We do this mapping in `ecc_msm_relation`. We are off-by-one because we add an
644 // empty row at the start of the WNAF columns that is not accounted for (index of lookup_read_counts
645 // maps to the row in our WNAF columns that computes a slice for a given value of pc and round)
646 lookup_read_counts_0.at(i + 1) = point_table_read_counts[0][i];
647 lookup_read_counts_1.at(i + 1) = point_table_read_counts[1][i];
648 }
649
650 // compute polynomials for transcript columns
651 parallel_for_range(transcript_rows.size(), [&](size_t start, size_t end) {
652 for (size_t i = start; i < end; i++) {
653 transcript_accumulator_not_empty.set_if_valid_index(i, transcript_rows[i].accumulator_not_empty);
654 transcript_add.set_if_valid_index(i, transcript_rows[i].q_add);
655 transcript_mul.set_if_valid_index(i, transcript_rows[i].q_mul);
656 transcript_eq.set_if_valid_index(i, transcript_rows[i].q_eq);
657 transcript_reset_accumulator.set_if_valid_index(i, transcript_rows[i].q_reset_accumulator);
658 transcript_msm_transition.set_if_valid_index(i, transcript_rows[i].msm_transition);
659 transcript_pc.set_if_valid_index(i, transcript_rows[i].pc);
660 transcript_msm_count.set_if_valid_index(i, transcript_rows[i].msm_count);
661 transcript_Px.set_if_valid_index(i, transcript_rows[i].base_x);
662 transcript_Py.set_if_valid_index(i, transcript_rows[i].base_y);
663 transcript_z1.set_if_valid_index(i, transcript_rows[i].z1);
664 transcript_z2.set_if_valid_index(i, transcript_rows[i].z2);
665 transcript_z1zero.set_if_valid_index(i, transcript_rows[i].z1_zero);
666 transcript_z2zero.set_if_valid_index(i, transcript_rows[i].z2_zero);
667 transcript_op.set_if_valid_index(i, transcript_rows[i].opcode);
668 transcript_accumulator_x.set_if_valid_index(i, transcript_rows[i].accumulator_x);
669 transcript_accumulator_y.set_if_valid_index(i, transcript_rows[i].accumulator_y);
670 transcript_msm_x.set_if_valid_index(i, transcript_rows[i].msm_output_x);
671 transcript_msm_y.set_if_valid_index(i, transcript_rows[i].msm_output_y);
672 transcript_base_infinity.set_if_valid_index(i, transcript_rows[i].base_infinity);
673 transcript_base_x_inverse.set_if_valid_index(i, transcript_rows[i].base_x_inverse);
674 transcript_base_y_inverse.set_if_valid_index(i, transcript_rows[i].base_y_inverse);
675 transcript_add_x_equal.set_if_valid_index(i, transcript_rows[i].transcript_add_x_equal);
676 transcript_add_y_equal.set_if_valid_index(i, transcript_rows[i].transcript_add_y_equal);
677 transcript_add_lambda.set_if_valid_index(i, transcript_rows[i].transcript_add_lambda);
678 transcript_msm_intermediate_x.set_if_valid_index(i,
679 transcript_rows[i].transcript_msm_intermediate_x);
680 transcript_msm_intermediate_y.set_if_valid_index(i,
681 transcript_rows[i].transcript_msm_intermediate_y);
682 transcript_msm_infinity.set_if_valid_index(i, transcript_rows[i].transcript_msm_infinity);
683 transcript_msm_x_inverse.set_if_valid_index(i, transcript_rows[i].transcript_msm_x_inverse);
684 transcript_msm_count_zero_at_transition.set_if_valid_index(
685 i, transcript_rows[i].msm_count_zero_at_transition);
686 transcript_msm_count_at_transition_inverse.set_if_valid_index(
687 i, transcript_rows[i].msm_count_at_transition_inverse);
688 }
689 });
690
691 parallel_for_range(point_table_rows.size(), [&](size_t start, size_t end) {
692 for (size_t i = start; i < end; i++) {
693 // first row is always an empty row (to accommodate shifted polynomials which must have 0 as 1st
694 // coefficient). All other rows in the point_table_rows represent active wnaf gates (i.e.
695 // precompute_select = 1)
696 precompute_select.set_if_valid_index(i, (i != 0) ? 1 : 0);
697 precompute_pc.set_if_valid_index(i, point_table_rows[i].pc);
698 precompute_point_transition.set_if_valid_index(
699 i, static_cast<uint64_t>(point_table_rows[i].point_transition));
700 precompute_round.set_if_valid_index(i, point_table_rows[i].round);
701 precompute_scalar_sum.set_if_valid_index(i, point_table_rows[i].scalar_sum);
702 precompute_s1hi.set_if_valid_index(i, point_table_rows[i].s1);
703 precompute_s1lo.set_if_valid_index(i, point_table_rows[i].s2);
704 precompute_s2hi.set_if_valid_index(i, point_table_rows[i].s3);
705 precompute_s2lo.set_if_valid_index(i, point_table_rows[i].s4);
706 precompute_s3hi.set_if_valid_index(i, point_table_rows[i].s5);
707 precompute_s3lo.set_if_valid_index(i, point_table_rows[i].s6);
708 precompute_s4hi.set_if_valid_index(i, point_table_rows[i].s7);
709 precompute_s4lo.set_if_valid_index(i, point_table_rows[i].s8);
710 // If skew is active (i.e. we need to subtract a base point from the msm result),
711 // write `7` into rows.precompute_skew. `7`, in binary representation, equals `-1` when converted
712 // into WNAF form
713 precompute_skew.set_if_valid_index(i, point_table_rows[i].skew ? 7 : 0);
714 precompute_dx.set_if_valid_index(i, point_table_rows[i].precompute_double.x);
715 precompute_dy.set_if_valid_index(i, point_table_rows[i].precompute_double.y);
716 precompute_tx.set_if_valid_index(i, point_table_rows[i].precompute_accumulator.x);
717 precompute_ty.set_if_valid_index(i, point_table_rows[i].precompute_accumulator.y);
718 }
719 });
720
721 // compute polynomials for the msm columns
722 parallel_for_range(msm_rows.size(), [&](size_t start, size_t end) {
723 for (size_t i = start; i < end; i++) {
724 msm_transition.set_if_valid_index(i, static_cast<int>(msm_rows[i].msm_transition));
725 msm_add.set_if_valid_index(i, static_cast<int>(msm_rows[i].q_add));
726 msm_double.set_if_valid_index(i, static_cast<int>(msm_rows[i].q_double));
727 msm_skew.set_if_valid_index(i, static_cast<int>(msm_rows[i].q_skew));
728 msm_accumulator_x.set_if_valid_index(i, msm_rows[i].accumulator_x);
729 msm_accumulator_y.set_if_valid_index(i, msm_rows[i].accumulator_y);
730 msm_pc.set_if_valid_index(i, msm_rows[i].pc);
731 msm_size_of_msm.set_if_valid_index(i, msm_rows[i].msm_size);
732 msm_count.set_if_valid_index(i, msm_rows[i].msm_count);
733 msm_round.set_if_valid_index(i, msm_rows[i].msm_round);
734 msm_add1.set_if_valid_index(i, static_cast<int>(msm_rows[i].add_state[0].add));
735 msm_add2.set_if_valid_index(i, static_cast<int>(msm_rows[i].add_state[1].add));
736 msm_add3.set_if_valid_index(i, static_cast<int>(msm_rows[i].add_state[2].add));
737 msm_add4.set_if_valid_index(i, static_cast<int>(msm_rows[i].add_state[3].add));
738 msm_x1.set_if_valid_index(i, msm_rows[i].add_state[0].point.x);
739 msm_y1.set_if_valid_index(i, msm_rows[i].add_state[0].point.y);
740 msm_x2.set_if_valid_index(i, msm_rows[i].add_state[1].point.x);
741 msm_y2.set_if_valid_index(i, msm_rows[i].add_state[1].point.y);
742 msm_x3.set_if_valid_index(i, msm_rows[i].add_state[2].point.x);
743 msm_y3.set_if_valid_index(i, msm_rows[i].add_state[2].point.y);
744 msm_x4.set_if_valid_index(i, msm_rows[i].add_state[3].point.x);
745 msm_y4.set_if_valid_index(i, msm_rows[i].add_state[3].point.y);
746 msm_collision_x1.set_if_valid_index(i, msm_rows[i].add_state[0].collision_inverse);
747 msm_collision_x2.set_if_valid_index(i, msm_rows[i].add_state[1].collision_inverse);
748 msm_collision_x3.set_if_valid_index(i, msm_rows[i].add_state[2].collision_inverse);
749 msm_collision_x4.set_if_valid_index(i, msm_rows[i].add_state[3].collision_inverse);
750 msm_lambda1.set_if_valid_index(i, msm_rows[i].add_state[0].lambda);
751 msm_lambda2.set_if_valid_index(i, msm_rows[i].add_state[1].lambda);
752 msm_lambda3.set_if_valid_index(i, msm_rows[i].add_state[2].lambda);
753 msm_lambda4.set_if_valid_index(i, msm_rows[i].add_state[3].lambda);
754 msm_slice1.set_if_valid_index(i, msm_rows[i].add_state[0].slice);
755 msm_slice2.set_if_valid_index(i, msm_rows[i].add_state[1].slice);
756 msm_slice3.set_if_valid_index(i, msm_rows[i].add_state[2].slice);
757 msm_slice4.set_if_valid_index(i, msm_rows[i].add_state[3].slice);
758 }
759 });
760 this->set_shifted();
761 }
762 };
763
767 class PartiallyEvaluatedMultivariates : public AllEntities<Polynomial> {
768
769 public:
771 PartiallyEvaluatedMultivariates(const size_t circuit_size)
772 {
773 // Storage is only needed after the first partial evaluation, hence polynomials of size (n / 2)
774 for (auto& poly : this->get_all()) {
775 poly = Polynomial(circuit_size / 2);
776 }
777 }
778 PartiallyEvaluatedMultivariates(const ProverPolynomials& full_polynomials, size_t circuit_size)
779 {
780 for (auto [poly, full_poly] : zip_view(get_all(), full_polynomials.get_all())) {
781 // After the initial sumcheck round, the new size is CEIL(size/2).
782 size_t desired_size = full_poly.end_index() / 2 + full_poly.end_index() % 2;
783 poly = Polynomial(desired_size, circuit_size / 2);
784 }
785 }
786 };
787
793 public:
794 size_t circuit_size = ECCVM_FIXED_SIZE; // The circuit size is fixed for the ECCVM.
795 size_t log_circuit_size = CONST_ECCVM_LOG_N;
796
797 // Used to amortize the commitment time if the `fixed size` > `real_size`.
798 size_t real_size = 0;
799
800 ProverPolynomials polynomials; // storage for all polynomials evaluated by the prover
802
803 // Constructor for fixed size ProvingKey
805 : real_size(builder.get_circuit_subgroup_size(builder.get_estimated_num_finalized_gates()))
806 , polynomials(builder)
807 {}
808 };
809
818 class VerificationKey : public NativeVerificationKey_<PrecomputedEntities<Commitment>, Transcript> {
819 public:
820 bool operator==(const VerificationKey&) const = default;
821
822 // IPA verification key requires one more point.
823 VerifierCommitmentKey pcs_verification_key = VerifierCommitmentKey(ECCVM_FIXED_SIZE + 1);
824
825 // Default construct the fixed VK that results from ECCVM_FIXED_SIZE
827 : NativeVerificationKey_(ECCVM_FIXED_SIZE, /*num_public_inputs=*/0)
828 {
829 this->pub_inputs_offset = 0;
830
831 // Populate the commitments of the precomputed polynomials using the fixed VK data
832 for (auto [vk_commitment, fixed_commitment] :
833 zip_view(this->get_all(), ECCVMFixedVKCommitments::get_all())) {
834 vk_commitment = fixed_commitment;
835 }
836 }
837
838 VerificationKey(const size_t circuit_size, const size_t num_public_inputs)
839 : NativeVerificationKey_(circuit_size, num_public_inputs)
840 {}
841
842 VerificationKey(const std::shared_ptr<ProvingKey>& proving_key)
843 {
844 this->log_circuit_size = CONST_ECCVM_LOG_N;
845 this->num_public_inputs = 0;
846 this->pub_inputs_offset = 0;
847
848 for (auto [polynomial, commitment] :
849 zip_view(proving_key->polynomials.get_precomputed(), this->get_all())) {
850 commitment = proving_key->commitment_key.commit(polynomial);
851 }
852 }
853
861 fr hash_with_origin_tagging([[maybe_unused]] const std::string& domain_separator,
862 [[maybe_unused]] Transcript& transcript) const override
863 {
864 throw_or_abort("Not intended to be used because vk is hardcoded in circuit.");
865 }
866
867 // TODO(https://github.com/AztecProtocol/barretenberg/issues/1324): Remove `circuit_size` and `log_circuit_size`
868 // from the verification key.
869 };
870
877 class CommitmentLabels : public AllEntities<std::string> {
878 private:
880
881 public:
883 : AllEntities<std::string>()
884 {
885 Base::transcript_add = "TRANSCRIPT_ADD";
886 Base::transcript_mul = "TRANSCRIPT_MUL";
887 Base::transcript_eq = "TRANSCRIPT_EQ";
888 Base::transcript_msm_transition = "TRANSCRIPT_MSM_TRANSITION";
889 Base::transcript_pc = "TRANSCRIPT_PC";
890 Base::transcript_msm_count = "TRANSCRIPT_MSM_COUNT";
891 Base::transcript_Px = "TRANSCRIPT_PX";
892 Base::transcript_Py = "TRANSCRIPT_PY";
893 Base::transcript_z1 = "TRANSCRIPT_Z1";
894 Base::transcript_z2 = "TRANSCRIPT_Z2";
895 Base::transcript_z1zero = "TRANSCRIPT_Z1ZERO";
896 Base::transcript_z2zero = "TRANSCRIPT_Z2ZERO";
897 Base::transcript_op = "TRANSCRIPT_OP";
898 Base::transcript_accumulator_x = "TRANSCRIPT_ACCUMULATOR_X";
899 Base::transcript_accumulator_y = "TRANSCRIPT_ACCUMULATOR_Y";
900 Base::transcript_msm_x = "TRANSCRIPT_MSM_X";
901 Base::transcript_msm_y = "TRANSCRIPT_MSM_Y";
902 Base::precompute_pc = "PRECOMPUTE_PC";
903 Base::precompute_point_transition = "PRECOMPUTE_POINT_TRANSITION";
904 Base::precompute_round = "PRECOMPUTE_ROUND";
905 Base::precompute_scalar_sum = "PRECOMPUTE_SCALAR_SUM";
906 Base::precompute_s1hi = "PRECOMPUTE_S1HI";
907 Base::precompute_s1lo = "PRECOMPUTE_S1LO";
908 Base::precompute_s2hi = "PRECOMPUTE_S2HI";
909 Base::precompute_s2lo = "PRECOMPUTE_S2LO";
910 Base::precompute_s3hi = "PRECOMPUTE_S3HI";
911 Base::precompute_s3lo = "PRECOMPUTE_S3LO";
912 Base::precompute_s4hi = "PRECOMPUTE_S4HI";
913 Base::precompute_s4lo = "PRECOMPUTE_S4LO";
914 Base::precompute_skew = "PRECOMPUTE_SKEW";
915 Base::precompute_dx = "PRECOMPUTE_DX";
916 Base::precompute_dy = "PRECOMPUTE_DY";
917 Base::precompute_tx = "PRECOMPUTE_TX";
918 Base::precompute_ty = "PRECOMPUTE_TY";
919 Base::msm_transition = "MSM_TRANSITION";
920 Base::msm_add = "MSM_ADD";
921 Base::msm_double = "MSM_DOUBLE";
922 Base::msm_skew = "MSM_SKEW";
923 Base::msm_accumulator_x = "MSM_ACCUMULATOR_X";
924 Base::msm_accumulator_y = "MSM_ACCUMULATOR_Y";
925 Base::msm_pc = "MSM_PC";
926 Base::msm_size_of_msm = "MSM_SIZE_OF_MSM";
927 Base::msm_count = "MSM_COUNT";
928 Base::msm_round = "MSM_ROUND";
929 Base::msm_add1 = "MSM_ADD1";
930 Base::msm_add2 = "MSM_ADD2";
931 Base::msm_add3 = "MSM_ADD3";
932 Base::msm_add4 = "MSM_ADD4";
933 Base::msm_x1 = "MSM_X1";
934 Base::msm_y1 = "MSM_Y1";
935 Base::msm_x2 = "MSM_X2";
936 Base::msm_y2 = "MSM_Y2";
937 Base::msm_x3 = "MSM_X3";
938 Base::msm_y3 = "MSM_Y3";
939 Base::msm_x4 = "MSM_X4";
940 Base::msm_y4 = "MSM_Y4";
941 Base::msm_collision_x1 = "MSM_COLLISION_X1";
942 Base::msm_collision_x2 = "MSM_COLLISION_X2";
943 Base::msm_collision_x3 = "MSM_COLLISION_X3";
944 Base::msm_collision_x4 = "MSM_COLLISION_X4";
945 Base::msm_lambda1 = "MSM_LAMBDA1";
946 Base::msm_lambda2 = "MSM_LAMBDA2";
947 Base::msm_lambda3 = "MSM_LAMBDA3";
948 Base::msm_lambda4 = "MSM_LAMBDA4";
949 Base::msm_slice1 = "MSM_SLICE1";
950 Base::msm_slice2 = "MSM_SLICE2";
951 Base::msm_slice3 = "MSM_SLICE3";
952 Base::msm_slice4 = "MSM_SLICE4";
953 Base::transcript_accumulator_not_empty = "TRANSCRIPT_ACCUMULATOR_NOT_EMPTY";
954 Base::transcript_reset_accumulator = "TRANSCRIPT_RESET_ACCUMULATOR";
955 Base::precompute_select = "PRECOMPUTE_SELECT";
956 Base::lookup_read_counts_0 = "LOOKUP_READ_COUNTS_0";
957 Base::lookup_read_counts_1 = "LOOKUP_READ_COUNTS_1";
958 Base::transcript_base_infinity = "TRANSCRIPT_BASE_INFINITY";
959 Base::transcript_base_x_inverse = "TRANSCRIPT_BASE_X_INVERSE";
960 Base::transcript_base_y_inverse = "TRANSCRIPT_BASE_Y_INVERSE";
961 Base::transcript_add_x_equal = "TRANSCRIPT_ADD_X_EQUAL";
962 Base::transcript_add_y_equal = "TRANSCRIPT_ADD_Y_EQUAL";
963 Base::transcript_add_lambda = "TRANSCRIPT_ADD_LAMBDA";
964 Base::transcript_msm_intermediate_x = "TRANSCRIPT_MSM_INTERMEDIATE_X";
965 Base::transcript_msm_intermediate_y = "TRANSCRIPT_MSM_INTERMEDIATE_Y";
966 Base::transcript_msm_infinity = "TRANSCRIPT_MSM_INFINITY";
967 Base::transcript_msm_x_inverse = "TRANSCRIPT_MSM_X_INVERSE";
968 Base::transcript_msm_count_zero_at_transition = "TRANSCRIPT_MSM_COUNT_ZERO_AT_TRANSITION";
969 Base::transcript_msm_count_at_transition_inverse = "TRANSCRIPT_MSM_COUNT_AT_TRANSITION_INVERSE";
970 Base::z_perm = "Z_PERM";
971 Base::z_perm_shift = "Z_PERM_SHIFT";
972 Base::lookup_inverses = "LOOKUP_INVERSES";
973 // The ones beginning with "__" are only used for debugging
974 Base::lagrange_first = "__LAGRANGE_FIRST";
975 Base::lagrange_second = "__LAGRANGE_SECOND";
976 Base::lagrange_third = "__LAGRANGE_THIRD";
977 Base::lagrange_last = "__LAGRANGE_LAST";
978 };
979 };
980
981 template <typename Commitment, typename VerificationKey>
982 class VerifierCommitments_ : public AllEntities<Commitment> {
983 public:
984 VerifierCommitments_(const std::shared_ptr<VerificationKey>& verification_key)
985 {
986 this->lagrange_first = verification_key->lagrange_first;
987 this->lagrange_second = verification_key->lagrange_second;
988 this->lagrange_third = verification_key->lagrange_third;
989 this->lagrange_last = verification_key->lagrange_last;
990 }
991 };
992
994
1000 public:
1002 std::vector<Commitment> ipa_l_comms;
1003 std::vector<Commitment> ipa_r_comms;
1006
1007 IPATranscript() = default;
1008
1010 {
1011 // take current proof and put them into the struct
1012 size_t num_frs_read = 0;
1013 ipa_poly_degree = NativeTranscript::template deserialize_from_buffer<uint32_t>(NativeTranscript::proof_data,
1014 num_frs_read);
1015
1016 for (size_t i = 0; i < CONST_ECCVM_LOG_N; ++i) {
1017 ipa_l_comms.emplace_back(NativeTranscript::template deserialize_from_buffer<Commitment>(
1018 NativeTranscript::proof_data, num_frs_read));
1019 ipa_r_comms.emplace_back(NativeTranscript::template deserialize_from_buffer<Commitment>(
1020 NativeTranscript::proof_data, num_frs_read));
1021 }
1022 ipa_G_0_eval = NativeTranscript::template deserialize_from_buffer<Commitment>(NativeTranscript::proof_data,
1023 num_frs_read);
1024 ipa_a_0_eval =
1025 NativeTranscript::template deserialize_from_buffer<FF>(NativeTranscript::proof_data, num_frs_read);
1026 }
1027
1029 {
1030 size_t old_proof_length = NativeTranscript::proof_data.size();
1031 NativeTranscript::proof_data.clear();
1032
1033 NativeTranscript::serialize_to_buffer(ipa_poly_degree, NativeTranscript::proof_data);
1034 for (size_t i = 0; i < CONST_ECCVM_LOG_N; ++i) {
1035 NativeTranscript::serialize_to_buffer(ipa_l_comms[i], NativeTranscript::proof_data);
1036 NativeTranscript::serialize_to_buffer(ipa_r_comms[i], NativeTranscript::proof_data);
1037 }
1038
1039 serialize_to_buffer(ipa_G_0_eval, proof_data);
1040 serialize_to_buffer(ipa_a_0_eval, proof_data);
1041
1042 BB_ASSERT_EQ(NativeTranscript::proof_data.size(), old_proof_length);
1043 }
1044 };
1045
1056 template <typename ProverPolynomialsOrPartiallyEvaluatedMultivariates, typename EdgeType>
1057 static bool skip_entire_row([[maybe_unused]] const ProverPolynomialsOrPartiallyEvaluatedMultivariates& polynomials,
1058 [[maybe_unused]] const EdgeType edge_idx)
1059 {
1060 // SKIP CONDITIONS:
1061 // The most important skip condition is that `z_perm == z_perm_shift`. This implies that none of the wire values
1062 // for the present input are involved in non-trivial copy constraints. Edge cases where nonzero rows do not
1063 // contribute to permutation:
1064 //
1065 // 1: If `lagrange_last != 0`, the permutation polynomial identity is updated even if
1066 // z_perm == z_perm_shift. Therefore, we must force it to be zero.
1067 //
1068 // 2: The final MSM row won't add to the permutation but still has polynomial identitiy
1069 // contributions. This is because the permutation argument uses the SHIFTED msm columns when performing
1070 // lookups i.e. `msm_accumulator_x[last_edge_idx]` will change `z_perm[last_edge_idx - 1]` and
1071 // `z_perm_shift[last_edge_idx - 1]`
1072 //
1073 // 3. The value of `transcript_mul` is non-zero at the end of an MSM of points-at-infinity, which will
1074 // cause `full_msm_count` to be non-zero while `transcript_msm_count` vanishes. We therefore force
1075 // transcript_mul == 0 as a skip-row condition.
1076 //
1077 // 4: We also force that `transcript_op==0`.
1078 return (polynomials.z_perm[edge_idx] == polynomials.z_perm_shift[edge_idx]) &&
1079 (polynomials.z_perm[edge_idx + 1] == polynomials.z_perm_shift[edge_idx + 1]) &&
1080 (polynomials.lagrange_last[edge_idx] == 0 && polynomials.lagrange_last[edge_idx + 1]) == 0 &&
1081 (polynomials.msm_transition[edge_idx] == 0 && polynomials.msm_transition[edge_idx + 1] == 0) &&
1082 (polynomials.transcript_mul[edge_idx] == 0 && polynomials.transcript_mul[edge_idx + 1] == 0) &&
1083 (polynomials.transcript_op[edge_idx] == 0 && polynomials.transcript_op[edge_idx + 1] == 0);
1084 }
1085};
1086} // namespace bb
#define BB_ASSERT_EQ(actual, expected,...)
Definition assert.hpp:77
#define BB_ASSERT_LTE(left, right,...)
Definition assert.hpp:152
Common transcript class for both parties. Stores the data for the current round, as well as the manif...
CommitmentKey object over a pairing group 𝔾₁.
static std::vector< ScalarMul > get_flattened_scalar_muls(const std::vector< MSM > &msms)
A base class labelling all entities (for instance, all of the polynomials used by the prover during s...
DEFINE_COMPOUND_GET_ALL(MaskingEntities< DataType >, PrecomputedEntities< DataType >, WitnessEntities< DataType >, ShiftedEntities< DataType >) auto get_unshifted()
A field element for each entity of the flavor. These entities represent the prover polynomials evalua...
A container for commitment labels.
Derived class that defines proof structure for ECCVM IPA proof, as well as supporting functions.
std::vector< Commitment > ipa_r_comms
std::vector< Commitment > ipa_l_comms
Container for ZK entities (gemini masking polynomial for ZK-PCS)
A container for storing the partially evaluated multivariates produced by sumcheck.
PartiallyEvaluatedMultivariates(const ProverPolynomials &full_polynomials, size_t circuit_size)
PartiallyEvaluatedMultivariates(const size_t circuit_size)
A base class labelling precomputed entities and (ordered) subsets of interest.
bool operator==(const PrecomputedEntities &other) const =default
DEFINE_FLAVOR_MEMBERS(DataType, lagrange_first, lagrange_second, lagrange_third, lagrange_last)
A container for the prover polynomials.
AllValues get_row(const size_t row_idx) const
Returns the evaluations of all prover polynomials at one point on the boolean hypercube,...
ProverPolynomials(const ProverPolynomials &o)=delete
ProverPolynomials(ProverPolynomials &&o) noexcept=default
ProverPolynomials(const CircuitBuilder &builder)
Compute the ECCVM flavor polynomial data required to generate an ECCVM Proof.
ProverPolynomials & operator=(const ProverPolynomials &)=delete
ProverPolynomials & operator=(ProverPolynomials &&o) noexcept=default
The proving key is responsible for storing the polynomials used by the prover.
ProverPolynomials polynomials
ProvingKey(const CircuitBuilder &builder)
Represents polynomials shifted by 1 or their evaluations, defined relative to WitnessEntities.
DEFINE_FLAVOR_MEMBERS(DataType, transcript_mul_shift, transcript_msm_count_shift, precompute_scalar_sum_shift, precompute_s1hi_shift, precompute_dx_shift, precompute_dy_shift, precompute_tx_shift, precompute_ty_shift, msm_transition_shift, msm_add_shift, msm_double_shift, msm_skew_shift, msm_accumulator_x_shift, msm_accumulator_y_shift, msm_count_shift, msm_round_shift, msm_add1_shift, msm_pc_shift, precompute_pc_shift, transcript_pc_shift, precompute_round_shift, precompute_select_shift, transcript_accumulator_not_empty_shift, transcript_accumulator_x_shift, transcript_accumulator_y_shift, z_perm_shift)
The verification key is responsible for storing the commitments to the precomputed (non-witnessk) pol...
fr hash_with_origin_tagging(const std::string &domain_separator, Transcript &transcript) const override
Unused function because vk is hardcoded in recursive verifier, so no transcript hashing is needed.
VerificationKey(const std::shared_ptr< ProvingKey > &proving_key)
VerificationKey(const size_t circuit_size, const size_t num_public_inputs)
bool operator==(const VerificationKey &) const =default
VerifierCommitments_(const std::shared_ptr< VerificationKey > &verification_key)
Containter for transcript accumulators, they stand out as the only to-be-shifted wires that are alway...
Container for all to-be-shifted witness polynomials excluding the accumulators used/constructed by th...
Container for all witness polynomials used/constructed by the prover.
DEFINE_COMPOUND_GET_ALL(WireNonShiftedEntities< DataType >, WireToBeShiftedWithoutAccumulatorsEntities< DataType >, WireToBeShiftedAccumulatorEntities< DataType >, DerivedWitnessEntities< DataType >) auto get_wires()
static constexpr size_t ECCVM_FIXED_SIZE
static constexpr bool HasZK
typename Curve::ScalarField FF
static constexpr size_t NUM_MASKING_POLYNOMIALS
static constexpr size_t NUM_SUBRELATIONS
static constexpr size_t NUM_ALL_ENTITIES
static constexpr size_t MAX_PARTIAL_RELATION_LENGTH
static auto get_to_be_shifted(PrecomputedAndWitnessEntitiesSuperset &entities)
std::tuple< ECCVMTranscriptRelation< FF >, ECCVMPointTableRelation< FF >, ECCVMWnafRelation< FF >, ECCVMMSMRelation< FF >, ECCVMSetRelation< FF >, ECCVMLookupRelation< FF >, ECCVMBoolsRelation< FF > > Relations_
typename G1::affine_element Commitment
typename Curve::BaseField BF
bb::Polynomial< FF > Polynomial
static bool skip_entire_row(const ProverPolynomialsOrPartiallyEvaluatedMultivariates &polynomials, const EdgeType edge_idx)
When evaluating the sumcheck protocol - can we skip evaluation of all relations for a given row?...
typename G1::element GroupElement
std::tuple< ECCVMSetRelation< FF > > GrandProductRelations
typename Curve::Group G1
static constexpr bool USE_SHORT_MONOMIALS
static constexpr size_t NUM_WITNESS_ENTITIES
static constexpr size_t NUM_TRANSLATION_OPENING_CLAIMS
static constexpr size_t NUM_SHIFTED_ENTITIES
static constexpr size_t NUM_PRECOMPUTED_ENTITIES
static constexpr size_t PROOF_LENGTH_WITHOUT_PUB_INPUTS
static constexpr size_t NUM_WIRES
static constexpr size_t BATCHED_RELATION_PARTIAL_LENGTH
static constexpr size_t num_frs_comm
static constexpr bool USE_PADDING
static constexpr size_t num_frs_fq
static constexpr RepeatedCommitmentsData REPEATED_COMMITMENTS
static constexpr size_t NUM_RELATIONS
Relations_< FF > Relations
bb::eccvm::MSM< CycleGroup > MSM
static constexpr size_t NUM_DERIVED_WITNESS_ENTITIES_NON_SHIFTED
std::array< FF, NUM_SUBRELATIONS - 1 > SubrelationSeparators
static std::tuple< std::vector< MSMRow >, std::array< std::vector< size_t >, 2 > > compute_rows(const std::vector< MSM > &msms, const uint32_t total_number_of_muls, const size_t num_msm_rows)
Computes the row values for the Straus MSM columns of the ECCVM.
static std::vector< PointTablePrecomputationRow > compute_rows(const std::vector< bb::eccvm::ScalarMul< CycleGroup > > &ecc_muls)
static std::vector< TranscriptRow > compute_rows(const std::vector< ECCVMOperation > &vm_operations, const uint32_t total_number_of_muls)
Computes the ECCVM transcript rows.
IPA (inner product argument) commitment scheme class.
Definition ipa.hpp:93
Base Native verification key class.
Definition flavor.hpp:137
A template class for a reference array. Behaves as if std::array<T&, N> was possible.
Definition ref_array.hpp:22
A wrapper for Relations to expose methods used by the Sumcheck prover or verifier to add the contribu...
typename grumpkin::g1 Group
Definition grumpkin.hpp:61
group class. Represents an elliptic curve group element. Group is parametrised by Fq and Fr
Definition group.hpp:36
#define vinfo(...)
Definition log.hpp:80
AluTraceBuilder builder
Definition alu.test.cpp:124
Base class templates for structures that contain data parameterized by the fundamental polynomials of...
#define DEFINE_FLAVOR_MEMBERS(DataType,...)
Define the body of a flavor class, included each member and a pointer view with which to iterate the ...
std::vector< ScalarMul< CycleGroup > > MSM
constexpr uint64_t get_msb64(const uint64_t in)
Definition get_msb.hpp:30
Entry point for Barretenberg command-line interface.
Definition api.hpp:5
group< fq, fr, Bn254G1Params > g1
Definition g1.hpp:33
std::vector< fr > HonkProof
Definition proof.hpp:15
RefArray< T,(Ns+...)> constexpr concatenate(const RefArray< T, Ns > &... ref_arrays)
Concatenates multiple RefArray objects into a single RefArray.
BaseTranscript< FrCodec, bb::crypto::Poseidon2< bb::crypto::Poseidon2Bn254ScalarFieldParams > > NativeTranscript
void parallel_for_range(size_t num_points, const std::function< void(size_t, size_t)> &func, size_t no_multhreading_if_less_or_equal)
Split a loop into several loops running in parallel.
Definition thread.cpp:141
STL namespace.
constexpr decltype(auto) get(::tuplet::tuple< T... > &&t) noexcept
Definition tuple.hpp:13
std::string to_string(bb::avm2::ValueTag tag)
Container for all derived witness polynomials used/constructed by the prover.
DEFINE_FLAVOR_MEMBERS(DataType, z_perm, lookup_inverses)
void throw_or_abort(std::string const &err)