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_supplier_state","status":"passed"},{"path":"crates/solver/tests/concurrent_cases.rs","name":"group_chain","status":"passed"},{"path":"crates/solver/tests/concurrent_cases.rs","name":"group_chain_invalid_to_valid","status":"passed"},{"path":"crates/solver/tests/concurrent_cases.rs","name":"group_chain_valid_to_invalid","status":"passed"},{"path":"crates/solver/tests/concurrent_cases.rs","name":"simple_chain","status":"passed"},{"path":"crates/solver/tests/concurrent_cases.rs","name":"solution_simple_chain","status":"passed"},{"path":"crates/solver/tests/concurrent_cases.rs","name":"solve_no_concurrent_values","status":"passed"},{"path":"crates/solver/tests/concurrent_cases.rs","name":"solve_with_concurrent_values","status":"passed"},{"path":"crates/solver/tests/concurrent_regression.rs","name":"all_small_partial_orders_match_independent_closure_scoring","status":"passed"},{"path":"crates/solver/tests/concurrent_regression.rs","name":"cyclic_candidate_restores_cached_times_neighbors_and_score","status":"passed"},{"path":"crates/solver/tests/conditional_collector_cases.rs","name":"bi_conditionally","status":"passed"},{"path":"crates/solver/tests/conditional_collector_cases.rs","name":"bi_conditionally_update","status":"passed"},{"path":"crates/solver/tests/conditional_collector_cases.rs","name":"quad_conditionally","status":"passed"},{"path":"crates/solver/tests/conditional_collector_cases.rs","name":"quad_conditionally_update","status":"passed"},{"path":"crates/solver/tests/conditional_collector_cases.rs","name":"tri_conditionally","status":"passed"},{"path":"crates/solver/tests/conditional_collector_cases.rs","name":"tri_conditionally_update","status":"passed"},{"path":"crates/solver/tests/conditional_collector_cases.rs","name":"uni_conditionally","status":"passed"},{"path":"crates/solver/tests/conditional_collector_cases.rs","name":"uni_conditionally_update","status":"passed"},{"path":"crates/solver/tests/conditional_collector_regression.rs","name":"captured_rejections_nullable_values_and_failed_operations_preserve_state","status":"passed"},{"path":"crates/solver/tests/conditional_collector_regression.rs","name":"composed_conditional_collectors_preserve_all_input_group_membership","status":"passed"},{"path":"crates/solver/tests/conditional_collector_regression.rs","name":"construction_search_and_saved_candidates_match_full_conditional_objective","status":"passed"},{"path":"crates/solver/tests/conditional_collector_regression.rs","name":"generated_group_transitions_match_independent_multisets_after_commit_and_undo","status":"passed"},{"path":"crates/solver/tests/conditional_collector_regression.rs","name":"graphs_retain_rejected_groups_and_capture_callbacks_for_retractions","status":"passed"},{"path":"crates/solver/tests/conditional_collector_regression.rs","name":"predicate_mapping_key_and_scoring_failures_restore_the_entire_graph","status":"passed"},{"path":"crates/solver/tests/config_instance_cases.rs","name":"new_instance_local_class","status":"passed"},{"path":"crates/solver/tests/config_instance_cases.rs","name":"new_instance_non_static_inner_class","status":"passed"},{"path":"crates/solver/tests/config_instance_cases.rs","name":"new_instance_owner_description","status":"passed"},{"path":"crates/solver/tests/config_instance_cases.rs","name":"new_instance_static_inner_class","status":"passed"},{"path":"crates/solver/tests/config_instance_cases.rs","name":"new_instance_static_inner_class_with_args_constructor","status":"passed"},{"path":"crates/solver/tests/config_instance_regression.rs","name":"context_uses_current_owner_and_failures_format_owner_once","status":"passed"},{"path":"crates/solver/tests/config_instance_regression.rs","name":"no_argument_constructor_allocates_each_time_and_rejects_supplied_input","status":"passed"},{"path":"crates/solver/tests/config_instance_regression.rs","name":"real_arguments_validate_before_call_and_each_construct_is_owned","status":"passed"},{"path":"crates/solver/tests/config_property_cases.rs","name":"abbreviate","status":"passed"},{"path":"crates/solver/tests/config_property_cases.rs","name":"apply_custom_properties","status":"passed"},{"path":"crates/solver/tests/config_property_cases.rs","name":"apply_custom_properties_non_existing_custom_property","status":"passed"},{"path":"crates/solver/tests/config_property_cases.rs","name":"apply_custom_properties_subset","status":"passed"},{"path":"crates/solver/tests/config_property_cases.rs","name":"ceil_divide","status":"passed"},{"path":"crates/solver/tests/config_property_cases.rs","name":"ceil_divide_by_zero","status":"passed"},{"path":"crates/solver/tests/config_property_cases.rs","name":"meld_property","status":"passed"},{"path":"crates/solver/tests/config_property_cases.rs","name":"merge_property","status":"passed"},{"path":"crates/solver/tests/config_property_regression.rs","name":"abbreviation_consumes_four_items_from_an_unbounded_iterator","status":"passed"},{"path":"crates/solver/tests/config_property_regressio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No Java internal counters/traces, randomized order, list/mixed differential comparison or new upstream method credit."},"great_deluge_checks":{"seed":20261220,"total":276,"passed":276,"failures_count":0,"native_reference_passed":276,"selected_policy":"binary64_ratio","exact_controls":{"total":276,"passed":275,"native_reference_passed":276,"diverged":1,"divergences":[{"case":"random-9-ratio-1-10-first","java":{"score":[0,1],"values":[2,1,0]},"native":{"score":[0,9],"values":[2,2,0]}},{"case":"rounding-prefix-11","java":{"score":[0,1],"values":[2,1,0]},"native":{"score":[0,9],"values":[2,2,0]}},{"case":"rounding-prefix-12","java":{"score":[0,1],"values":[2,1,0]},"native":{"score":[0,9],"values":[2,2,0]}}],"boundary_probes":{"total":25,"agreed":23,"diverged":2,"results_count":25}},"diverged":0,"boundary_probes":{"total":25,"agreed":25,"diverged":0},"arithmetic_probes":{"total":184,"passed":184,"ratios":[[1,3],[2,3],[7,10],[1,7]],"steps":[10,25]},"rains":[["fixed",0,1],["fixed",1,0],["fixed",1,3],["ratio",1,10],["ratio",1,2],["ratio",1,100]],"native_reference_steps":6189,"scope":"Original complete276case matrix and25prefixes retained. Explicit Binary64Ratio selected for ratio rain; fixed rain unchanged. Separate operand casts, cumulative binary64 addition, absolute initial multiplication, base addition and floor; native thresholds do not narrow to i64. Scoped/stream results/counters/reasons match independent Python; Java final values/scores checked, no internal-threshold/trace equivalence claim. Exact-default controls retain275/276 agreement and23/25prefixes, never relabelled as selected passes. Additional184original ratio/budget probes are separate. No general Java overflow, decimal/list/mixed differential or upstream-method credit."},"mixed_solver_checks":{"seed":20261123,"total":64,"passed":64,"failures_count":0,"reference_assignments":32116,"optimal":{"java":39,"exact":64,"scoped":63,"stream":63},"equal_exact_scores":39,"scope":"Original required mixed depot/ordered-route cases: 1-3 owners, 1-4 customers, 1-3 depots, duplicate customer coordinates, capacity deficits and ties. Independent permutations/splits/depot products check joint optima. Java uses Community BRUTE_FORCE with unsorted entities/values, starting unassigned. Rust exhausts the joint product. Native scoped/stream strict-improvement search starts complete at first depot/all customers on first owner; best accepted, joint moves, 20-step cap. All returned assignments and scores are validated; quality differences are reported, not silently treated as equal scores. No Java local search, trace/counter parity, pins/ranges, optional lists, timing or upstream method-credit claim."},"artifacts":[{"name":"HdrHistogram-2.2.2.jar","sha256":"22d1d4316c4ec13a68b559e98c8256d69071593731da96136640f864fa14fad8"},{"name":"angus-activation-2.0.3.jar","sha256":"a6bd35c538cf90fff941ad6258c40c08fca0b5c9c3f536c657114f27ce0527a7"},{"name":"gizmo2-2.1.1.jar","sha256":"777af2f3b98bbc238938e95c0679c5a1473ec86513e1b88c36901a30c58c9b8e"},{"name":"istack-commons-runtime-4.1.2.jar","sha256":"7fd6792361f4dd00f8c56af4a20cecc0066deea4a8f3dec38348af23fc2296ee"},{"name":"jakarta.activation-api-2.1.4.jar","sha256":"c9db52100ce6c8aac95cc39075f95720d2e561b11f8051b81c121ad4effd7004"},{"name":"jakarta.xml.bind-api-4.0.5.jar","sha256":"5e489b6c874c4119e003ff1403db523ee3a8959ec499f3de29e77245efccf216"},{"name":"jaxb-core-4.0.9.jar","sha256":"6b014df25d22c8446cc2df0a378c5b2137747f197a731d99eb24c756b26f7e8d"},{"name":"jaxb-runtime-4.0.9.jar","sha256":"93e09b7316b6af68d6e2083e4c297daf28e8957f45d725077af812c0b12c39ab"},{"name":"jboss-logging-3.6.0.Final.jar","sha256":"924529a679ad76a4665115c47f053e47c6fd272f59a632ba70db481c925ef7a2"},{"name":"jdk-classfile-backport-26.jar","sha256":"2eb2741b04c632ca361fb7dc947e993785639e76233129e84b2c85d618ae12ca"},{"name":"jspecify-1.0.1.jar","sha256":"070d75f261fe4c5b8202508366715f7f2d4660f88c8ef7e6d3575e48c9683b66"},{"name":"micrometer-commons-1.17.1.jar","sha256":"f2cee6ef046e72eec8128474c7f58c6217173b45ae373c30de0289f2a56ab0fd"},{"name":"micrometer-core-1.17.1.jar","sha256":"9ca47dfa831409b40253c8dc98c17b9d3e050ebbde4d1543c5521dca2b95ad56"},{"name":"micrometer-observation-1.17.1.jar","sha256":"eb34f0cd84a879393ae5c21160fc06385ccdc74f36a4d1e31b199f59acfdaf71"},{"name":"slf4j-api-2.0.18.jar","sha256":"44508fd1576500688c790b190acdd16fec4f8c79a3e0b900afd70503cf055f55"},{"name":"smallrye-common-constraint-2.16.0.jar","sha256":"9ce104ceb2284024fcf8d427ad2abcbb533e6afedf517a2b8727269f6a5920a6"},{"name":"smallrye-common-resource-2.16.0.jar","sha256":"00fefb18cf87306ad8427d444c8f098de5c64c82183579b0b7d7c14f28308413"},{"name":"timefold-solver-core-2.7.0.jar","sha256":"80aa953d86f19dc86ce2b4f6da16338cd01a3617d9c5f96ed53ef3dfa5dc7141"},{"name":"txw2-4.0.9.jar","sha256":"d6343e5945d87266ca4e8974a0a2a876e1bd147a00fb65ed3f2e1a3a00f3a82a"}],"environment":"Linux-6.18.33.2-microsoft-standard-WSL2-x86_64-with-glibc2.43","groups":{"homogeneous_required":{"total":64,"passed":64},"per_variable_ranges":{"total":64,"passed":64}},"scope":"Original graph-assignment cases checked against independent Python enumeration: 64 homogeneous required and 64 per-variable range cases, including mixed required/optional values, empty optional ranges, pinned nulls and signed null preferences. Movable initial values reset. The extended Java adapter uses two fields per entity; its inactive field has one fixed choice. HardSoft scores, complete optima, no trace equivalence or upstream coverage credit.","status":"stale"},"list_differential":{"schema_version":1,"generated_at":"2026-10-20T10:57:59.842592+00:00","source_digest":"72e4df4740f973ceb265790102ec2dc2f7384c40a9c4b2eee1d08ac4ef31600d","revision":"8b815bc6b5f3eb81feedc94dea0885a93b267762","seed":20261003,"sublist_seed":20261124,"sublist_swap_seed":20261125,"total":512,"passed":512,"failures_count":0,"value_metadata":{"total":514,"passed":425,"native_reference_passed":514,"java_error_cases":40,"unsupported_cases":33,"divergent_cases":16,"duplicate_observations":0,"order_differences":282,"failures_count":0,"differences_count":56,"scope":"Original corpus, observed twice per case: temporary execution and execution after undo. Java public getPlanningValues is called after execution; native snapshot capture before each execution matches independently replayed first-touch identities. Java membership is compared as a set; raw order and multiplicity remain recorded. Empty Java compositions are unsupported, not passing. No upstream method, search-trace or timing credit."},"gather":{"total":256,"passed":256,"seed":20261212,"failures_count":0,"scope":"Original nonempty single gathers: ordered insertion at original boundaries, unassigned members during insertion, and unassignment of assigned members. Candidate/undo/commit lists and four built-in shadows checked against Python. No pins, Java metadata, composite gather sequences, timing or method coverage credit."},"moves":1795,"artifacts":[{"name":"HdrHistogram-2.2.2.jar","sha256":"22d1d4316c4ec13a68b559e98c8256d69071593731da96136640f864fa14fad8"},{"name":"angus-activation-2.0.3.jar","sha256":"a6bd35c538cf90fff941ad6258c40c08fca0b5c9c3f536c657114f27ce0527a7"},{"name":"gizmo2-2.1.1.jar","sha256":"777af2f3b98bbc238938e95c0679c5a1473ec86513e1b88c36901a30c58c9b8e"},{"name":"istack-commons-runtime-4.1.2.jar","sha256":"7fd6792361f4dd00f8c56af4a20cecc0066deea4a8f3dec38348af23fc2296ee"},{"name":"jakarta.activation-api-2.1.4.jar","sha256":"c9db52100ce6c8aac95cc39075f95720d2e561b11f8051b81c121ad4effd7004"},{"name":"jakarta.xml.bind-api-4.0.5.jar","sha256":"5e489b6c874c4119e003ff1403db523ee3a8959ec499f3de29e77245efccf216"},{"name":"jaxb-core-4.0.9.jar","sha256":"6b014df25d22c8446cc2df0a378c5b2137747f197a731d99eb24c756b26f7e8d"},{"name":"jaxb-runtime-4.0.9.jar","sha256":"93e09b7316b6af68d6e2083e4c297daf28e8957f45d725077af812c0b12c39ab"},{"name":"jboss-logging-3.6.0.Final.jar","sha256":"924529a679ad76a4665115c47f053e47c6fd272f59a632ba70db481c925ef7a2"},{"name":"jdk-classfile-backport-26.jar","sha256":"2eb2741b04c632ca361fb7dc947e993785639e76233129e84b2c85d618ae12ca"},{"name":"jspecify-1.0.1.jar","sha256":"070d75f261fe4c5b8202508366715f7f2d4660f88c8ef7e6d3575e48c9683b66"},{"name":"micrometer-commons-1.17.1.jar","sha256":"f2cee6ef046e72eec8128474c7f58c6217173b45ae373c30de0289f2a56ab0fd"},{"name":"micrometer-core-1.17.1.jar","sha256":"9ca47dfa831409b40253c8dc98c17b9d3e050ebbde4d1543c5521dca2b95ad56"},{"name":"micrometer-observation-1.17.1.jar","sha256":"eb34f0cd84a879393ae5c21160fc06385ccdc74f36a4d1e31b199f59acfdaf71"},{"name":"slf4j-api-2.0.18.jar","sha256":"44508fd1576500688c790b190acdd16fec4f8c79a3e0b900afd70503cf055f55"},{"name":"smallrye-common-constraint-2.16.0.jar","sha256":"9ce104ceb2284024fcf8d427ad2abcbb533e6afedf517a2b8727269f6a5920a6"},{"name":"smallrye-common-resource-2.16.0.jar","sha256":"00fefb18cf87306ad8427d444c8f098de5c64c82183579b0b7d7c14f28308413"},{"name":"timefold-solver-core-2.7.0.jar","sha256":"80aa953d86f19dc86ce2b4f6da16338cd01a3617d9c5f96ed53ef3dfa5dc7141"},{"name":"txw2-4.0.9.jar","sha256":"d6343e5945d87266ca4e8974a0a2a876e1bd147a00fb65ed3f2e1a3a00f3a82a"}],"environment":"Linux-6.18.33.2-microsoft-standard-WSL2-x86_64-with-glibc2.43","scope":"Original valid assign/change/swap/span-unassign composites, plus 128 span-relocation/reversal cases (seed 20261124). 128 original disjoint span-swap/reversal cases (seed 20261125), including unequal lengths and reversed argument order. Java public MoveTester candidate, undo and commit states, with owner/index/previous/next shadows, independently checked in Python. Rust now emits cached ListStreamScoreDirector value views and checks cached entity lists plus an independently recomputed native position score. No Java/Rust score comparison is claimed here. One optional list variable; no pinned Java cases, custom listeners, list solving, timing or upstream coverage credit.","status":"stale"},"solver_performance":{"schema_version":1,"generated_at":"2026-10-20T10:54:04.730522+00:00","source_digest":"49afe58d8f2d2e00fe5a52a7a50a0e95402df33f1159941f7325476c28e1a2cb","reference":{"repository":"Local execution detail omitted from public snapshot.","edition":"Community","tag":"v2.7.0","commit":"8b815bc6b5f3eb81feedc94dea0885a93b267762","path":"upstream/timefold-solver","license":"Apache-2.0"},"artifacts":[{"name":"HdrHistogram-2.2.2.jar","sha256":"22d1d4316c4ec13a68b559e98c8256d69071593731da96136640f864fa14fad8"},{"name":"angus-activation-2.0.3.jar","sha256":"a6bd35c538cf90fff941ad6258c40c08fca0b5c9c3f536c657114f27ce0527a7"},{"name":"gizmo2-2.1.1.jar","sha256":"777af2f3b98bbc238938e95c0679c5a1473ec86513e1b88c36901a30c58c9b8e"},{"name":"istack-commons-runtime-4.1.2.jar","sha256":"7fd6792361f4dd00f8c56af4a20cecc0066deea4a8f3dec38348af23fc2296ee"},{"name":"jakarta.activation-api-2.1.4.jar","sha256":"c9db52100ce6c8aac95cc39075f95720d2e561b11f8051b81c121ad4effd7004"},{"name":"jakarta.xml.bind-api-4.0.5.jar","sha256":"5e489b6c874c4119e003ff1403db523ee3a8959ec499f3de29e77245efccf216"},{"name":"jaxb-core-4.0.9.jar","sha256":"6b014df25d22c8446cc2df0a378c5b2137747f197a731d99eb24c756b26f7e8d"},{"name":"jaxb-runtime-4.0.9.jar","sha256":"93e09b7316b6af68d6e2083e4c297daf28e8957f45d725077af812c0b12c39ab"},{"name":"jboss-logging-3.6.0.Final.jar","sha256":"924529a679ad76a4665115c47f053e47c6fd272f59a632ba70db481c925ef7a2"},{"name":"jdk-classfile-backport-26.jar","sha256":"2eb2741b04c632ca361fb7dc947e993785639e76233129e84b2c85d618ae12ca"},{"name":"jspecify-1.0.1.jar","sha256":"070d75f261fe4c5b8202508366715f7f2d4660f88c8ef7e6d3575e48c9683b66"},{"name":"micrometer-commons-1.17.1.jar","sha256":"f2cee6ef046e72eec8128474c7f58c6217173b45ae373c30de0289f2a56ab0fd"},{"name":"micrometer-core-1.17.1.jar","sha256":"9ca47dfa831409b40253c8dc98c17b9d3e050ebbde4d1543c5521dca2b95ad56"},{"name":"micrometer-observation-1.17.1.jar","sha256":"eb34f0cd84a879393ae5c21160fc06385ccdc74f36a4d1e31b199f59acfdaf71"},{"name":"slf4j-api-2.0.18.jar","sha256":"44508fd1576500688c790b190acdd16fec4f8c79a3e0b900afd70503cf055f55"},{"name":"smallrye-common-constraint-2.16.0.jar","sha256":"9ce104ceb2284024fcf8d427ad2abcbb533e6afedf517a2b8727269f6a5920a6"},{"name":"smallrye-common-resource-2.16.0.jar","sha256":"00fefb18cf87306ad8427d444c8f098de5c64c82183579b0b7d7c14f28308413"},{"name":"timefold-solver-core-2.7.0.jar","sha256":"80aa953d86f19dc86ce2b4f6da16338cd01a3617d9c5f96ed53ef3dfa5dc7141"},{"name":"txw2-4.0.9.jar","sha256":"d6343e5945d87266ca4e8974a0a2a876e1bd147a00fb65ed3f2e1a3a00f3a82a"}],"config":{"iterations":5,"warmup":3,"samples":5,"forks":3,"seed":20261001,"algorithms":["brute","depth","breadth","score","bound"]},"workloads":[{"name":"Brute 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Encoded complete inputs specify pins and warm references; cold initial_score independently includes missing-depot/customer penalties and retained-route distances. Small optimum independently exhaustively certified; larger reference is an independently scored feasible certificate, NOT an optimum. Warm quality floors retain the original feasible input; cold small must reach its independent optimum and cold larger must reach its feasible certificate or better. Every repeated solve validates its output after timing; Python checks every observed checksum/assignment/pin/score and quality floor. Warm small unpinned case must strictly improve. Cold construction plus local search share the native evaluation budget; evaluations include both phases; steps count completed local-search steps only, with construction_steps reported separately and the configured local-search step limit. Native Dense/Stream use the explicitly recorded native_search_profile: component-refinement runs component-only Original-order BestAccepted until stall, then joint refinement; joint retains the original all-joint-at-every-step control. Both search phases share the original per-case step/evaluation caps; cold construction shares the evaluation cap and its placements remain separate. Additional phase initialization consumes budget. Warm/cold graph policy is explicitly recorded: ordinary-join is default; owner-links selects shared fixed owner relationships and full tracked fixed terminals, changing match IDs, ownership, final batch publication and actual physical callbacks. The complete ordinary Stream control remains measured with identical problem/search settings; this is an application declaration comparison, not equal work or an ordinary Join implementation speedup. Dense network shape stays unchanged. In component-refinement cold scoring, both native backends incorporate missing customers as registered count minus the sum of route lengths into the existing per-owner route constraint, charging the constant once to owner zero even when its depot is unassigned. The original joint control retains its per-value penalties. Complete planning source rows and shadow metadata remain retained. The partial/final objective is identical, but cold constraint grouping, graph/network shape, explanations and physical callback counts differ. All source rows and list shadows remain complete under every explicit graph declaration. Optional fused v2 projects/scores each relationship directly into the full tracked match, without an intermediate link queue; projection/scoring, Clone/Drop and error schedules can differ from v1. Its complete v1 control must retain identical physical scoring counts and every full observation except declaration metadata and elapsed time; ordinary controls also remain. The strategy changes candidate work, tie paths and potentially quality; it is not an implementation-only or equal-work speedup. All configured warm/cold/backend workloads, including slower cold/small cases, remain in the report. Native profiles use finite score/candidate/step ceilings; Java uses deterministic ORIGINAL union of basic changes, list relocation and swaps with public step/score-call termination, no joint-move or trace equivalence. Native actual evaluations/steps/callbacks and Java measured physical EasyScoreCalculator calls are different work metrics; Java logical steps/evaluations are unknown, never inferred. Timings include per-solve scoring/solver setup and search, exclude process startup, parsing, Java factory preparation and postsolve diagnostics. Native cold-model creation, graph/network setup, construction and local search are timed together; warm timing is unchanged. Java cold input reset/copy, construction and local search are included in timing; Java warm input object copy remains outside timing. Cold protocol carries the required quality floor so both binaries validate every repeated solve, including earlier iterations, before accepting a sample. Runtime order rotates Java/Dense/Stream by fork, adding owner-links Stream as a fourth group and fused v2 as a fifth only when explicitly selected; a single measured Java sample group per case is reused in both native rows, not counted as independent extra runs. Optional list-ordinal lookup checks bounds and equality against immutable registered positions on both native backends, preserving Basic Eq-only and reconstructing the selected list index inside cold timing. Eq-only remains the default; selecting ordinals retains complete same-graph Eq-only observations and timing samples for both backends with identical full search output, actual physical scoring calls, assignments and quality. These two extra groups rotate alongside selected registry/graph groups; Java is still measured once per case/fork. Stable equality-consistent ordinal keys are a caller obligation; no generic callback/Clone/Drop trace equivalence or memory saving is claimed. Quality and work must accompany speed ratios; these bounded warm/cold workloads establish no general mixed-solver scalability, memory or equal-work claim.","status":"stale"},"heuristic_performance":{"schema_version":1,"generated_at":"2026-10-20T10:55:06.878907+00:00","source_digest":"3dd9b58e578c6da0143b9302b918e1ea0d0e209a1012c43c317fe3828d816504","reference":{"repository":"Local execution detail omitted from public 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Deterministic original-order change moves, best-accepted selection, first tie and fixed completed-step limit. Native rejected fallback uses highest score; Java uses its configured public forager. Diversified late acceptance uses history size 3 and public Community preview configuration; native accepted trials update the active history slot and completed steps advance its cursor. Java search traces are not equated. Strategic oscillation adds entity tabu tenure 2 with global-best aspiration and selects either the last completed step or retained best as its reference. Native exact-reference ordering intentionally differs from observed Community behavior; recorded score differences remain separate from validity and timing, without inferring identical selected moves or fallback behavior. Ratio tabu uses 20% of all model variables/entities, including pins, resolved once per phase (6 steps for 32 variables, 19 for 96), with global-best aspiration. Hill climbing accepts ties; entity, move and value tabu use tenure 2 and global-best aspiration; move tabu retains each selected variable/target-value change descriptor; value tabu retains target values across variables (native extraction clones only distinct basic write targets; composite capture uses borrowed references for written indices); combined late acceptance/tabu requires both history size 3 (native hill-climbing shortcut enabled) and tenure 2 with global-best aspiration; step counting uses STEP mode with period 7 and replaces the threshold at completed-step boundaries; Great Deluge uses fixed rain (0hard/1soft) from the initial score with strict current-score improvement aspiration. Full score recalculation in both engines (Java EasyScoreCalculator; one global Rust constraint); no incremental-scoring speed claim. All input assignments retained, including pins. Timed: per-solve setup, search, and complete assignment/score validation. Excluded: process/JVM startup, input parsing, one-time model/network/factory setup, output encoding. Warmups precede samples in each fresh process; runtime order alternates. Every sample is independently rescored in Python and must retain at least the initial quality. Scores and score-call counts accompany timings; quality agreement is reported separately from validity. Small validation cases also have independently enumerated optima. 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Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz","platform":"Linux-7.2.3-arch1-3-x86_64-with-glibc2.44","rust":"rustc 1.92.0 (ded5c06cf 2025-12-08)","java":"openjdk version \"25.0.2\" 2026-01-20\nOpenJDK Runtime Environment (build 25.0.2+10-69)\nOpenJDK 64-Bit Server VM (build 25.0.2+10-69, mixed mode, sharing)"},"methodology":"Native sampling: coverage-cycle; native reconstruction: cheapest; native scoring: incremental-cached. Java retains its public independent random selector, reconstruction defaults and EasyScoreCalculator full scoring. Native incremental scoring uses scoped edge/weight callbacks. A separate fresh native full-scoring baseline retains every assignment, score, logical evaluation count and repair count; all baseline samples are retained. This is a scoring-model optimization, not a change to pooled candidate selection or fewer logical evaluations. The explicit incremental-cached mode opts pure callbacks into a phase-local contribution cache only for required-basic Dense/Pooled reconstruction. A separate fresh rust_uncached incremental reference retains every score, assignment, logical score_calls and repairs value, checked sample by sample against cached and full scoring. All four runtime sample sets, including Java, are preserved. Cache capacity is the checked sum of each variable domain length times its dependent-constraint count: K*(N+2*nonself_edge_occurrences+self_edge_occurrences) for these homogeneous fixtures, including duplicate/reversed edges. Reported pooled_cache_max_contributions counts configured score slots, not measured callback calls or hits; arithmetic overflow disables the cache with ordinary scoring fallback. Sequential reconstruction is unaffected by the opt-in. Native score_calls counts logical candidate score evaluations, not individual scoped constraint callbacks, cache hits or physical callback timings. Native constraint_calls records the actual RuinRecreateResult constraint_evaluations counter per measured sample, emitted through an opt-in stderr channel after elapsed timing; warmup counters are not emitted. Fresh full, uncached incremental and cached modes may have different physical callback work while preserving logical evaluations. No Java callback count is inferred or reported, and no individual callback timing is measured. Original homogeneous required basic graph-coloring cases, no pins, all-zero initial assignment attaining the worst possible score. Fixed half or whole groups; seed 20261222 in each runtime, with different PRNGs and reconstruction orders. Java public RuinRecreateMoveSelector with acceptedCountLimit=1 and completed-step cap; native standalone repair with attempt cap and the explicitly reported reconstruction placement. Cheapest insertion rescans remaining unassigned variables and has a larger finite score budget; both configurations report actual scoring work. Step-counting hill climbing uses STEP mode with period steps+1, so every complete candidate is at least the unchanged initial threshold during this bounded run. Each solve must report exactly the requested repairs: Java public MOVE_EVALUATION_COUNT gauge, native attempts and complete_reconstructions, including no-ops. Work per repair differs; actual score calls are shown, not asserted equal. Timing includes per-solve setup, initial state copying, initialization, search and returned solution validation; excludes process startup, parsing, model/network/factory creation, registry setup, final metric reads and output encoding. Java default metric collection remains enabled during timing. Warmups and balanced runtime order across fresh processes; all raw samples retained. Every output independently checked for complete domain-valid assignments, recomputed score, initial non-regression and optimum upper bound. 32 small cases per group mode have exhaustively enumerated optima; timing cases have proven planted zero optima and nonpositive contributions. Different final quality is retained, not discarded. Ratios are observed runtime comparisons of these bounded configurations, not equal scoring work or scoring architecture, identical traces, general solver speed or list/mixed/optional/stream performance. Original cases earn no upstream-method credit; shared-host ranges include allocation and GC effects.","status":"stale"},"list_repair_performance":{"schema_version":1,"generated_at":"2026-10-20T10:59:53.418391+00:00","source_digest":"3567a3e56a9e96dc6b60337168776c8bcd2b5dcf91ab23bb3ddce379c296785c","reference":{"repository":"Local execution detail omitted from public 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Timing includes per-solve solver/state setup, initialization, repair and final validity/score validation; excludes process startup, input parsing, model/network/factory creation, registry setup, final metric reads and output formatting. Java metrics remain active during timing. Alternating runtime order, fresh-process forks, warmups and raw samples retained. Every output independently checked for uniqueness, valid IDs, required completeness, optional omissions, recomputed score, initial non-regression and optimum bound. Small cases enumerate owners/omissions and every permutation; timing cases have a planted zero optimum with nonnegative costs. Equality and optimum attainment are separate from validity. No identical trace, equal scoring work, mixed-model, weighted-union or incremental-stream performance claim. Original fixtures earn no upstream-method credit; shared-host ranges include allocation and GC effects.","status":"stale"},"construction_performance":{"schema_version":1,"generated_at":"2026-10-20T10:55:37.480847+00:00","source_digest":"4dc46c90fae937fca7e610b964bd8e3a4e5e5bdf40f437e09fd5144d54126b80","reference":{"repository":"Local execution detail omitted from public 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Every measured output is independently checked for ownership, completeness, pins, score and local-search non-regression; construction retains existing route values in relative order. Small original cases, including per-entity ranges, have independently enumerated optima. Legacy seven-field inputs use the full global registry as every entity range; eight-field inputs add explicit subsets. Larger timing workloads retain unrestricted ranges. Larger workload optima are unknown. Rust list transactions snapshot touched lists, validate changed pins/ranges and retain global dependency checks; owned score directors reuse validated input state and a persistent registry-position table supplies construction membership; shadow scoring retains its existing lookup paths. Java uses managed shadows. 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Signed/zero weights, independent left/right replacements, trials and undo. Separate native duplicate/null matrix is validated only against Python. Eighteen fixed public-API boundary probes record eight divergences: duplicated left members produce two Java matches for containing/any-of, and unpartitioned containing/contained-in skip the null match. Rust emits one pair for these inputs. Java recalculates scores with Community SolutionManager.update; Rust uses persistent membership indexes. Python validates counts, weighted scores and exact native IDs/payloads. Java exposes scores only; no Java match-analysis, incremental timing or additional upstream method credit."},"conditional_collector_checks":{"seed":20261204,"total":34,"passed":34,"observations":2139,"cases_count":34,"outputs_count":2,"scope":"Original conditional global counts, keyed sums and group-presence scores, with rejected inputs, duplicates, key transfers, replacements, removals and trial undo. 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No added upstream-method credit or timing measurement."},"duration_collector_checks":{"seed":20261031,"total":288,"passed":288,"observations":7650,"expected_overflow_rejections":142,"cases_count":288,"outputs_count":2,"scope":"Original standalone signed duration sum/average sequences. Python checks normalized seconds intermediates, subtraction then insertion on replacement, signed-64-bit total nanoseconds before average division, truncation toward zero, and update versus finish overflow. Stop at first error; no Java post-error state or stream lifecycle/timing claim. No added upstream-method credit."},"period_collector_checks":{"seed":20261224,"total":227,"passed":227,"observations":8771,"expected_overflow_rejections":120,"cases_count":227,"outputs_count":2,"scope":"Standalone public period collector add/replace/remove plus inverse-update trials. 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Valid tie identity differences are retained, not claimed as exact identity agreement. Includes duplicate identities, replacements, removals and inverse-update trials. No Java ABI, callback ordering, timing or generated-case upstream-method credit."},"composition_collector_checks":{"seed":20261226,"total":132,"passed":132,"observations":11300,"cases_count":132,"outputs_count":2,"scope":"Public composition of two, three or four collectors and count finish mapping. Exact min/max/count and average f64 bits match independent reconstruction through duplicate values, replacements, removals and inverse-update trials. Bounded integer sums/differences are representable. Finisher callback counts/order, mutable aliases, Java ABI and timing are not compared; generated cases add no upstream-method credit."},"set_sum_collector_checks":{"seed":20261227,"total":270,"passed":270,"observations":19484,"expected_overflow_rejections":39,"cases_count":270,"outputs_count":2,"scope":"Standalone sets, naturally sorted sets, sorted maps merged with wrapping i32 addition and checked i64 sums. Independent full multisets verify every successful state. Sum replacement checks the difference then total; expected overflow terminates each case and is not a successful update or Java post-error recovery claim. Set outputs normalize order; sorted map key order is compared. No Java ABI, null-key/value, general merger-function, timing or generated-case upstream-method credit."},"sequence_collector_checks":{"seed":20261220,"total":65,"passed":65,"native_reference_passed":65,"observations":4692,"ordinary_total":64,"ordinary_passed":64,"boundary_total":1,"boundary_passed":1,"boundary_divergences":0,"arithmetic_policy":"wrapping32","boundary":{"id":"sequence-int-overflow","points":[-2147483648,2147483647],"operations":[["c",0,0],["c",1,1]]},"cases_count":64,"outputs_count":3,"exact_controls":{"total":64,"passed":64,"observations":4689,"boundary_divergences":1,"output_keys":{"java":"java","rust":"rust_exact"}},"scope":"Explicit WrappingIntegerSequenceMetric with signed i32 indices is selected for the Community comparison. All original cases and the original MIN/MAX boundary pass with modular 32-bit distances; the default exact i64 controls and their separate overflow difference remain under exact_controls and outputs.rust_exact. Public standalone collector add, replace, remove and trial/undo. Python checks membership, count, length, first/last flags, neighboring breaks and endpoint identities. Java ties may use different identity ordering; each observed endpoint must match its own ordered items. Rust additionally requires stable logical-ID ties. Snapshots use owned values; Java live views and mutable object aliasing are not claimed. No timing or upstream-method credit."},"range_collector_checks":{"seed":20261222,"total":197,"passed":66,"observations":11583,"native_reference_passed":197,"java_observations":11583,"ordinary_total":64,"ordinary_passed":64,"boundary_total":133,"divergent_cases":131,"java_error_cases":0,"differences_count":6114,"errors_count":0,"cases_count":197,"outputs_count":3,"arithmetic_policy":"wrapping32","exact_controls":{"total":197,"passed":65,"native_reference_passed":197,"observations":11583,"divergent_cases":132,"java_error_cases":0,"differences_count":6115,"errors_count":0,"output_keys":{"java":"java","rust":"rust_exact"}},"scope":"Explicit WrappingIntegerRangeMetric with signed i32 endpoints is selected for the Community comparison; default exact i64 results and their complete original difference cohort are retained under exact_controls and outputs.rust_exact. 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No timing or extra upstream-method credit."},"load_balance_checks":{"arithmetic_policy":"wrapping64-moments-binary64-root","total":101,"passed":101,"observations":8290,"native_reference_passed":101,"java_observations":8290,"ordinary_total":96,"ordinary_passed":96,"boundary_total":5,"divergent_cases":0,"java_error_cases":0,"differences_count":0,"errors_count":0,"native_policy_errors":[],"seed":20261223,"cases_count":101,"outputs_count":4,"results_count":2,"exact_controls":{"arithmetic_policy":"exact","total":101,"passed":97,"observations":8290,"native_reference_passed":101,"java_observations":8290,"ordinary_total":96,"ordinary_passed":96,"boundary_total":5,"divergent_cases":4,"java_error_cases":0,"differences_count":16,"errors_count":0,"native_policy_errors":[],"results_count":2,"outputs_count":2},"exact_root_controls":{"arithmetic_policy":"wrapping64-moments-exact-root","total":101,"passed":100,"observations":8290,"native_reference_passed":101,"java_observations":8290,"ordinary_total":96,"ordinary_passed":96,"boundary_total":5,"divergent_cases":1,"java_error_cases":0,"differences_count":3,"errors_count":0,"native_policy_errors":[],"results_count":2,"outputs_count":2},"scope":"Public add/replace/remove and inverse-update trial/undo on all original full inputs. Selected arithmetic_policy=wrapping64-moments-binary64-root uses wrapped signed i64 loads and moments; it separately converts Q, wrapped S*S and unsigned key count to binary64, divides, subtracts and takes a binary64 root, then rounds that exact binary root value to six significant decimal digits with half-even ties. An independent Fraction/integer midpoint model checks each binary64 operation without float/libm sqrt. Exact-default and wrapping-exact-root controls retain complete actual results, outputs and differences separately; defaults remain unchanged. Java runs once on the identical unchanged payload; the same actual Java output is compared independently under all three policies. Native typed NegativeRadicand errors are accepted only at independently predicted states, including all later recovery states. Java errors and differences receive no agreement credit. Native error behavior, cancellation behavior and root-conversion order define an explicit policy, not general Java formula, nonfinite or decimal-scale equivalence. Trailing-zero representations normalize numerically. Initial loads must be consistent per active key; zero-load keys participate. Full original inputs, states, outputs, settings and observed Java error prefixes remain retained. Owned snapshots replace Java live maps. No timing or extra upstream-method credit."},"big_number_collector_checks":{"seed":20261103,"total":304,"passed":304,"observations":16298,"cases_count":304,"outputs_count":2,"scope":"Original standalone arbitrary-precision integer/decimal sum and average sequences through Community public handles and native collectors. Python recomputes totals from captured values at the historical maximum scale, independently rounds half-even, and checks exact coefficients/scales. Includes 1001-digit inputs, negative values, ties, duplicates, removal/reinsertion, negative scales and historical precision. No extra upstream credit, stream lifecycle or timing claim."},"mixed_stream_checks":{"seed":20261108,"passed":128,"total":128,"observations":2378,"operations":3611,"cases_count":128,"results_count":2378,"scope":"Original mixed required-basic/optional-list models, non-dense list identities, pinned basic values, partial states and coupled capacity/load/neighbor scoring. Java public MoveTester executes composed basic and list assign/change/swap/span-unassign operations; SolutionManager.UPDATE_SCORE_ONLY recalculates each observed score. Rust uses mixed transactional streams. Python independently checks ordinary scores, completeness, basic/list assignments and owner/index/previous/next views for initial, candidate, undo and committed states. No Java match analysis, structural-score equivalence, search/termination, custom shadows, list pin/range, incremental Java timing or upstream-method credit."},"follower_checks":{"seed":20261003,"total":128,"passed":128,"observations":2373,"operations":3714,"cases_count":128,"results_count":2373,"scope":"Original generated leader-value variables with either fixed shared references or required dynamic follower-reference variables, including partial assignments, shared targets, unreferenced leaders, zero followers, null values/references, repeated writes, no-ops, composite commits and temporary moves with undo. Domain/scoring fixtures attributed separately. Java public MoveTester maintains annotated shadows; SolutionManager.UPDATE_SCORE_ONLY recomputes each observed score. Rust uses persistent reference/shared-supplier streams. Interface-based forEach includes null-valued rows in both models. Independent Python checks complete assignments, reference identities, every derived value and ordinary count-squared score. No Java supplier-call counts, structural score, incremental Java scoring, timing, search or additional upstream-method credit."},"collection_follower_checks":{"seed":20261004,"total":128,"passed":128,"observations":2368,"operations":3724,"cases_count":128,"results_count":2368,"scope":"Original generated inputs with fixed nonempty dependency collections, duplicate references, null leader values, zero followers, empty/duplicate/Unicode codes, stable distinct value identities, first-reference ties, sequential repeated writes, composite commits and temporary moves with undo. Domain/supplier fixtures attributed separately. Java public MoveTester updates annotated shadows; SolutionManager.UPDATE_SCORE_ONLY recomputes scores. Rust uses membership joins, conditional ordered collection and reference projections. Independent Python validates every derived identity, leader value, ordinary interface-based count-squared score and completeness flag. Codes are fixed; Java UTF-16 code-unit ordering is preserved. No dependency-list mutation, empty/null dependency collections, PlanningId validation, supplier-call counts, Java structural-score fields, search, timing or additional upstream-method credit."},"list_element_checks":{"seed":20261005,"passed":128,"total":128,"observations":2365,"operations":3675,"cases_count":128,"results_count":2365,"scope":"Original fixed-duration ordered chains and nullable genuine-duration list aggregates. Public Java MoveTester maintains annotated shadows; ordered scores are rebuilt with UPDATE_ALL on a detached solution reconstructed from genuine/fixed inputs; original MoveTester shadows are observed unchanged. Native streams rescan touched owner chains or update membership aggregates. Independent Python validates lists, durations, ordered owners/previous/start/end, padded values and owner aggregates through sequential composite moves, commit and undo. Mixed fixtures have no scoring provider; their zero score field is a protocol placeholder, not scoring evidence. Includes empty lists, zero values, initial unassigned values, relocation, swap, ordered assign/unassign and mixed basic-only updates. No supplier counts, Java structural fields, mutable fixed starts/durations, search quality, timing or additional upstream-method credit."},"concurrent_checks":{"seed":20261006,"passed":107,"total":128,"native_reference_passed":128,"observations":2385,"java_observations":2025,"java_error_cases":21,"divergent_cases":0,"failures_count":21,"results_count":2385,"original_fixture_boundary":{"outcome":"java_runtime_error","scope":"Original minimal input: 3 values, group [0,1], lists [2,1]/empty, first group member unassigned. Compile unchanged pinned concurrent test fixtures; invoke public MoveTester and detached SolutionManager.UPDATE_ALL. Assigned member finish remains null and original scoring throws NullPointerException. Diagnostic only, no pass or method credit."},"operations":3574,"cases_count":128,"scope":"Original fixed disjoint alignment groups over required planning lists, including unassigned group members, dynamic cycles and downstream invalidation/recovery, zero values, shared owners, assign/relocate/swap composites and trial undo. Public Java MoveTester shadows are observed unchanged; detached UPDATE_ALL solutions provide ordinary scores. The concurrent scoring graph now uses an owned cache; its fields and a separate cached evaluator are compared with full native projection and independent Python recursion for every state. Trial snapshots restore the native cache without supplier calls; Java supplier counts are not compared. Java runtime errors and divergent states are retained and excluded from agreement credit. Successful Java observations compare every owner/index/neighbor/cascading/ready/start/finish field, inconsistency flag and ordinary score. Times are minute offsets from a fixed base; no date/time API parity. Supplier-call counts, Java structural fields, mutable groups, search quality and timing are not compared; generated inputs earn no upstream method credit."},"ordered_join_checks":{"seed":20261116,"total":153,"passed":153,"observations":10155,"cases_count":153,"outputs_count":2,"scope":"Original five-relation checks for no equality partition, one equality key and two equality keys, plus strict interval-overlap joins with and without equality partitions. Overlap boundaries include touching, zero-length, reversed and extreme endpoints. Duplicate/extreme ordered keys, signed/zero weights, payload and key replacements, independent left/right insertion/removal, trials and undo. Community SolutionManager.update recalculates each score using public Joiners; Rust updates persistent ordered/partitioned graphs. Independent Python pairs validate counts, weighted scores and exact native match IDs/payloads. Java exposes scores only; no Java match-analysis or incremental-update timing claim. No additional upstream method credit."},"equality_existence_checks":{"seed":20261118,"total":54,"passed":54,"observations":4834,"cases_count":54,"outputs_count":2,"scope":"Original Exists/NotExists checks with zero, one and two equality keys. Duplicate right matches, first/last presence transitions, key/payload changes, signed/zero left weights, independent edits, commit and undo. Community public ifExists/ifNotExists score recalculation and Rust count-based incremental graphs agree with Python nested enumeration. Exact native left IDs/payloads checked separately. No Java match-analysis, incremental notification, timing or upstream method-credit claim."},"aggregation_boundary_checks":{"passed":3,"total":3,"scope":"Separate Community full score updates for empty, one zero-valued fact, and removed-last-fact global count/sum groups. Native boundaries checked by collecting_stream_regression; no additional differential-case or upstream-method credit."},"methodology":"Original required-variable cases, including partial assignments, duplicate/self edges, signed weights, zero/cancelling group sums, pins, committed and trial/undo edits. Constraints: indexed edge/job joins penalize equal endpoint values; nonzero group sums contribute sum*abs(sum) to soft score. Java Community SolutionManager.update rebuilds a score session for each observation; Rust uses persistent incremental transactions. Both ordinary scores checked against independent Python loops. Native exact conflict IDs and group sums also checked. Community update exposes no match-analysis API; no Java match-set, structural-validation or incremental-update timing claim. 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Timefold Community ConstraintProvider and native persistent StreamGraph both score moves incrementally. Rust explicitly fuses assigned-row filtering and projection through the production batched filter-map operator, retaining the complete upstream source and cached acceptance including rejected rows; this declaration permits final-ID projection and different ID/key ownership schedules. Rust explicitly fuses immutable fixed-link projection and fully retained conflict scoring through the production shared-input declaration, eliminating intermediate per-link Events while retaining complete producer event owners, canonical match identities/payloads and actual score callback accounting; source facts remain upstream. Projection and scoring interleave, and captured accepted matches determine retractions without old-predicate re-evaluation. Preferences declare all color IDs from the validated common weight-row width for fixed membership filtering and fully retained dense scoring. Zero-sum rejection and per-delivered-put predicates remain, with complete facts upstream and ordinary full match inspection; this explicit filter retains membership instead of payload owners and may change ownership schedules. Rust also uses the production sum-only wrapping-i64 grouping operator with coalesced grouped scoring; that explicit declaration retains source-ID captures/counts/totals and avoids unused count/distinct/min/max summary outputs and per-value frequencies; Java retains the public-API indexed edge/job joins. Fixed endpoint and conflict-match state use dense slots with move-based undo. Ordered Rust match tables are materialized on inspection, which is not requested by this solve benchmark. This specialization requires relationships and the possible conflict IDs to stay fixed during each solve. Deterministic original-order change or unique-pair swap moves, best-accepted selection, first tie, best-rejected fallback, fixed completed-step limit; hill climbing accepts ties and tabu uses tenure 2 with best aspiration. Timed: per-solve setup, search, and independent score/assignment validation. Rust builds graph topology and compiles the relationship adjacency per solve; Java reuses SolverFactory and builds a solver per solve. Excluded: process/JVM startup, parsing, factory creation and output. Fresh-process warmups and alternating runtime order. Every sample is independently rescored in Python and cannot regress from its initial score. Terminal weighting callback counts are reported; propagation/coalescing and callback counts need not match. Swap outputs must preserve the initial value multiset and pins; large swap cases start from seeded shuffled balanced colors with reachable zero-score optima. Small cases have independently enumerated neighborhood-reachable optima; quality equality is reported separately. This is end-to-end search timing, not a raw tuple-update or general solver speed claim.","status":"stale"},"concurrent_performance":{"schema_version":1,"generated_at":"2026-10-20T11:03:08.772187+00:00","source_digest":"5abd16ef40f53fb0483eab5e778c498a0cb2e1e3cd3bfdc8729cc0e6d4c8bb05","reference":{"repository":"Local execution detail omitted from public 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\u00b7 16 visits","case":{"id":"swap-16","count":16,"groups":[[0,1],[2,3],[4,5],[6,7],[8,9],[10,11],[12,13],[14,15]],"lists":[[0,2,4,6,8,10,12,14],[1,3,5,7,9,11,13,15]],"move":["s",0,0,0,7]},"unit":"ms / transaction","sample_counts":{"java":15,"rust":15},"java":{"median":0.10277221,"min":0.09026041,"max":0.16762802499999999},"rust":{"median":0.028941785,"min":0.02708138,"max":0.034471005},"java_over_rust":3.5509976319705228},{"name":"Swap \u00b7 64 visits","case":{"id":"swap-64","count":64,"groups":[[0,1],[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]],"lists":[[0,2,4,6,8,10,12,14,16,18,20,22,24,26,28,30,32,34,36,38,40,42,44,46,48,50,52,54,56,58,60,62],[1,3,5,7,9,11,13,15,17,19,21,23,25,27,29,31,33,35,37,39,41,43,45,47,49,51,53,55,57,59,61,63]],"move":["s",0,0,0,31]},"unit":"ms / 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Samples repeat the same trial from the same initial state; numbers are medians/ranges of per-transaction batch averages, not latency percentiles. Warmup batches and alternating runtime order across fresh processes are recorded. The machine is shared, without CPU isolation; no JMH, memory, statistical significance or whole-solver speed claim. All 64 generated validation cases and every timing sample must match; errors abort measurement and are never dropped. Fully assigned inputs are an explicit benchmark scope, not a correction of the 21 known Java partial-group errors retained in the separate 128-case correctness comparison. Original cases earn no upstream method credit.","status":"stale"},"sequence_performance":{"schema_version":1,"generated_at":"2026-10-20T11:03:21.937730+00:00","source_digest":"874d30d648310e4bf905f9b4b6f1a3ed0beab8d82634d28563a4ccf3eb5accec","reference":{"repository":"Local execution detail omitted from public snapshot.","edition":"Community","tag":"v2.7.0","commit":"8b815bc6b5f3eb81feedc94dea0885a93b267762","path":"upstream/timefold-solver","license":"Apache-2.0"},"artifacts":{"artifact":"Local execution detail omitted from public snapshot.","sha256":"80aa953d86f19dc86ce2b4f6da16338cd01a3617d9c5f96ed53ef3dfa5dc7141"},"config":{"iterations":200,"warmup":3,"samples":5,"forks":3,"seed":20261221},"workloads":[{"name":"Dense \u00b7 64 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Initialization, parsing, process startup and output encoding are excluded. Runtime validation and allocation costs differ. This is an update-plus-full-observation benchmark, not isolated insertion/removal speed, stream graph rollback, scoring or search. Repeated trials use the same starting state. Warmup batches, raw samples and alternating order across fresh processes are recorded; ranges are per-pair batch averages, not latency percentiles. Shared machine, no CPU isolation, JMH, memory or statistical-significance claim. All 64 generated validation cases and every timing sample must pass; errors abort. Bounded integer indices exclude the known Java overflow divergence, which remains explicit in separate correctness evidence. 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Each pair replaces one selected capture and restores it by an inverse update. Both results are fully copied into integer arrays, checked against independent Python reconstruction after every operation, and consumed in batch checksums. A separate committed update is checked outside timing. Sorted sets contain duplicate pairs (32 or 256 distinct values); maps start with 8 or 64 keys and eight captures per key, and the replacement introduces a new key. Sum values and all arithmetic intermediates are bounded and representable. Includes update/inverse update, finish, full observation allocation/copying, assertions and checksums. Native captured-value APIs and Java value handles retain their own update bookkeeping. Native sets explicitly select production SortedSetCollector with an immutable SnapshotSet; existing SetCollector and its SnapshotMap API remain unchanged. Immutable Rust snapshots differ from Java live result views. Initialization, parsing, process startup and output encoding are excluded. This does not isolate collector mutation or measure stream graph rollback, scoring, solver search, memory, generic merge functions or overflow performance. Repeated pairs use the same initial state; warmup batches and raw samples across alternating runtime order in fresh processes are retained. Observed ranges are per-pair batch averages, not latency percentiles. Shared machine with no CPU isolation, JMH or statistical-significance claim. All 96 original validation cases and every timing sample must pass, otherwise the run aborts. No new upstream-method credit.","status":"stale"},"pillar_performance":{"schema_version":1,"generated_at":"2026-10-20T11:03:49.065779+00:00","source_digest":"4f9b7c63d1da38d519986e5b4c9708d5865ae407598545f52614720ec32dea35","reference":{"repository":"Local execution detail omitted from public 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Supplied members and columns are identical; no automatic grouping, schema-provider enumeration, random sampling, scoring or search is timed. Change writes one column; swap exchanges one or three columns between unequal groups, leaving some matching members untouched (subpillars). Every iteration constructs native Pillars/moves or Java Samples/public Moves, temporarily applies the move, copies and checks the full trial state, undoes it, copies and checks the restored state and consumes both checksums. Rust includes Pillar structural/uniformity checks and FiniteProblem domain/pin validation; Java includes public MoveTester infrastructure. These validation/framework costs differ. Parsing, model/test-context setup, expected states, startup, output encoding and a separate committed-state check are outside timing. Each sample repeats the same transaction; medians and ranges are per-transaction batch averages, not latency percentiles. Warmup batches, alternating runtime order and fresh processes are recorded; JVM compilation/GC may still affect samples. Python independently verifies trial, restored and committed states and every batch checksum, including 128 seeded small cases with optional values, no-ops, noncontiguous members and 1\u20133 columns. All cases are original and earn no upstream-method credit. No general solver speedup, schema-provider or memory claim.","status":"stale"},"completion":{"schema_version":1,"model_digest":"b3979d4981c26437cc1af60d65504f48960131811f62eef5dc115a8423f58e3a","index_percent":85.80936814868949,"ready":false,"weights":{"features":40,"behavior":20,"performance":30,"evidence":10},"target":{"java_time_multiplier":1},"components":[{"id":"features","label":"Feature coverage","weight":40,"percent":100.0,"earned_points":40.0,"detail":"Equal-weight in-scope families; exclusions are outside the denominator.","met":11,"total":11,"items":[{"name":"Constraint streams","percent":100,"status":"met","freshness":"current","detail":"1299/1299 in-scope assertions passed.","met":1299,"total":1299},{"name":"Moves & selectors","percent":100,"status":"met","freshness":"current","detail":"874/874 in-scope assertions passed.","met":874,"total":874},{"name":"Domain model","percent":100,"status":"met","freshness":"current","detail":"453/453 in-scope assertions passed.","met":453,"total":453},{"name":"Solver lifecycle","percent":100,"status":"met","freshness":"current","detail":"378/378 in-scope assertions passed.","met":378,"total":378},{"name":"Core utilities & configuration","percent":100,"status":"met","freshness":"current","detail":"372/372 in-scope assertions passed.","met":372,"total":372},{"name":"Service modules","percent":100,"status":"met","freshness":"current","detail":"300/300 in-scope assertions passed.","met":300,"total":300},{"name":"Score APIs & types","percent":100,"status":"met","freshness":"current","detail":"230/230 in-scope assertions passed.","met":230,"total":230},{"name":"Search algorithms","percent":100,"status":"met","freshness":"current","detail":"158/158 in-scope assertions passed.","met":158,"total":158},{"name":"Tools","percent":100,"status":"met","freshness":"current","detail":"127/127 in-scope assertions passed.","met":127,"total":127},{"name":"Score calculation","percent":100,"status":"met","freshness":"current","detail":"119/119 in-scope assertions passed.","met":119,"total":119},{"name":"JVM integrations","percent":100,"status":"met","freshness":"current","detail":"102/102 in-scope assertions passed.","met":102,"total":102}]},{"id":"behavior","label":"Behavior comparisons","weight":20,"percent":79.04684074344743,"earned_points":15.809368148689487,"detail":"Four jobs, each using its worst top-level/first-level passed/total check.","met":2,"total":4,"items":[{"name":"differential","percent":100.0,"status":"met","freshness":"stale","detail":"Worst count check: top-level; Java errors/unsupported remain in total.","met":9959,"total":9959},{"name":"solver_differential","percent":100.0,"status":"met","freshness":"stale","detail":"Worst count check: top-level; Java errors/unsupported remain in total.","met":128,"total":128},{"name":"list_differential","percent":82.68482490272373,"status":"not_met","freshness":"stale","detail":"Worst count check: value_metadata; Java errors/unsupported remain in total.","met":425,"total":514},{"name":"stream_differential","percent":33.50253807106599,"status":"not_met","freshness":"stale","detail":"Worst count check: range_collector_checks; Java errors/unsupported remain in total.","met":66,"total":197}]},{"id":"performance","label":"Java time and quality","weight":30,"percent":100.0,"earned_points":30.0,"detail":"Fourteen jobs; each contributes its worst quality-gated Java/native median ratio.","met":14,"total":14,"items":[{"name":"performance","percent":100.0,"status":"met","freshness":"stale","detail":"Worst workload: simple. 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Native score is equal or better lexicographically.","met":8,"total":8,"bottleneck":{"name":"mixed-small \u00b7 dense","percent":100,"status":"met","freshness":"stale","detail":"Native score is equal or better lexicographically.","rust_median":0.14681133333333335,"java_median":4.669737666666667}},{"name":"heuristic_performance","percent":100.0,"status":"met","freshness":"stale","detail":"Worst workload: Hill climbing \u00b7 32 variables. Native score is equal or better lexicographically.","met":22,"total":22,"bottleneck":{"name":"Hill climbing \u00b7 32 variables","percent":100,"status":"met","freshness":"stale","detail":"Native score is equal or better lexicographically.","rust_median":1.564301,"java_median":8.945369}},{"name":"construction_performance","percent":100.0,"status":"met","freshness":"stale","detail":"Worst workload: Sequential \u00b7 32 variables. 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