原始 JSON 报告 机器可读
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"created_at": "2025-12-20T21:25:57Z",
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"description": "State-of-the-art static memory allocation for neural networks.",
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{
"oid": "4e1d89c008ffce89d5d879250e9e06b959655d7f",
"body": "Trim docstrings whose elaboration restated the summary line, duplicated\ndocumentation living elsewhere, or used Args scaffolding: the Memory\nclass, BenchmarkReport, HuggingfaceSource, MinimallocSource, BaseSource\n(drops the registry-key note covered by Registered), Registered,\nrun_benchmark and plot\n[…]\nins, budget behavior,\nbound relationships); conflict_degrees likewise leans on conflicts while\nkeeping its positional/duplicate-id semantics. Reflow wraps left ragged\nby the antichain_pressure rename.",
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"headline": "Condense docstrings to their load-bearing content (#47)",
"author_name": "Fabian Peddinghaus",
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{
"oid": "5e3afb1ae92dbc80332f6f06a8e16fe3074cd2be",
"body": "Let every public entry point (allocate, validate_allocation,\nsave_allocation, plot_allocation) accept a raw Sequence[Allocation] in\naddition to System/Memory/Pool, wrapped via the new\nPool.from_allocations; allocate returns the placed allocations as a\ntuple in input order. Pool.allocate now restores\n[…]\ntor constructors, Timer, and\nplot_allocation so the common single-argument calls read naturally. Add\nany_allocated across Pool/Memory/System and use it in io. Add nanobind\nto the dev dependency group.",
"is_bot": false,
"headline": "Accept raw allocation sequences and streamline the public API (#46)",
"author_name": "Fabian Peddinghaus",
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"committed_at": "2026-07-21T16:59:56Z",
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{
"oid": "f41fa785378e70b3d909674a251c98f5166f2057",
"body": "placement_pressure_per_allocation ran its internal linearize attempt\nunbounded, so large non-interval-order vector-clock instances paid a\nfutile O(k*m*d) dominance pass before the fast output-sensitive\nfallback sweep. Plumb work_budget through: Python defaults to\nDEFAULT_WORK_BUDGET, and the budget \n[…]\n.\nDifferentially verified against brute-force references (conflict\nrelation, pinned antichains, placement peaks, interval-order decisions)\non over a thousand randomized instances with zero mismatches.",
"is_bot": false,
"headline": "Budget placement pressure and localize the linearize witness (#45)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-18T12:21:03Z",
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{
"oid": "a89aa4dbce075114264616b8db1f63a4a0514a1a",
"body": "Land the rulings of research/api-audit.md across the Python and C++\nsurface: one vocabulary, flat functions at the boundary, noun-phrase\nqueries, flat allocator kwargs, renamed entry points, and omni as the\ndefault allocator.\n\nVocabulary (R1): \"conflict\" names the happens-before constraint,\n\"overlap\n[…]\nbecomes \"omni\": never worse than greedy_by_size on\nany benchmarked case (geomean peak ratio 1.0972 vs 1.1675), certified\noptimal on three of seven, vector-clock capable, and the same order of\nruntime.",
"is_bot": false,
"headline": "Implement public API audit (#44)",
"author_name": "Fabian Peddinghaus",
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"committed_at": "2026-07-17T23:18:37Z",
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"oid": "29ec56729bcd124335c3c7fa43bd784d1f913d75",
"body": "Move the exact happens-before queries out of primitives/ into a new\nanalysis/ package on both language sides: conflicts, linearize,\npressure, and the clock helpers in Python; antichain, closure,\nlinearize, placement, and clock.hpp (ex clock_rows.hpp) in C++.\nprimitives/ is now strictly the System/Me\n[…]\nfetimes, else a sound\nclock-component-sum projection annotated with its conflict coverage),\nand \"lanes\" keeps the per-thread projection with an optional max_lanes\ntop-k cap by definite-occupancy peak.",
"is_bot": false,
"headline": "Extract the analysis layer, centralize defaults, add a panel view (#43)",
"author_name": "Fabian Peddinghaus",
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"committed_at": "2026-07-17T08:13:31Z",
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"oid": "d742fca61642eb76a5dfef2253e0668d2b608422",
"body": "…ts (#42)\n\n* Consolidate pressure API, add placement pressure, unify budget defaults\n\nFold get_antichain_pressure into get_pressure behind work_budget:\nint | None — the two computed the identical max-weight antichain and\ndiffered only in the default budget; None now removes the bound. Thread\nwork_bu\n[…]\nap but total and deterministic: every allocation is a\nkey in input order, conflict-free ones map to an empty set (the raw\nbinding omits them). Rejects duplicate ids like the other id-keyed\nprimitives.",
"is_bot": false,
"headline": "Consolidate pressure API, add placement pressure, unify budget defaul…",
"author_name": "Fabian Peddinghaus",
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"committed_at": "2026-07-16T06:39:57Z",
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"oid": "482fa98d076993cd3cef2f29545fcfb8d13b1f49",
"body": "Add tests/integration/test_omni_torture.py: every placement is certified\nthrough the oracle sandwich (closure <= antichain <= peak <= total size,\nplacement-pressure max == peak, per-conflict-pair spatial disjointness)\nacross all sync patterns, tiling sweeps, metamorphic transforms (size\nscaling, clo\n[…]\n, record instances\nwhere get_pressure exceeds its work budget as capped instead of crashing\nthe sweep (first hit at size 10k on the independent pattern). Ignore the\nscripts' output directories in git.",
"is_bot": false,
"headline": "Torture-test the omni allocator and pressure engines end to end (#41)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-15T20:56:39Z",
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"oid": "1b69a3d17545b4b21736f563a8920a3b611e93b2",
"body": null,
"is_bot": false,
"headline": "Update README copyright year to 2026 (#40)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-15T20:56:00Z",
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"oid": "9882d4064493637cbacaaf0316ecb39cd1e89e0d",
"body": "Rerun the deterministic README benchmark suite with the new\nOmniAllocator and regenerate all committed figure assets.\n\nOmni matches the greedy portfolio (greedy-all) on solution quality at\n80.17% mean packing efficiency across the 13 hard problems, but runs\n~17x faster (0.95 ms vs 16.3 ms mean), pla\n[…]\n.6 ms to 0.2 ms; on faster\n machines the greedy (size) and best-fit points fell off the left edge.\n- Split the quality figure's inline legend onto two lines; seven\n entries overflowed a single line.",
"is_bot": false,
"headline": "Add omni allocator to README benchmark figures (#39)",
"author_name": "Fabian Peddinghaus",
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"committed_at": "2026-07-15T11:40:08Z",
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"oid": "6cae6b302a0d9805db27030eb50cc4819b3009bc",
"body": "… (#38)\n\nPin the vector-clock liveness relation with randomized, seeded property\ntests instead of only hand-picked examples:\n\n- Differential: pairwise overlaps_temporally and the sweep-pruned\n compute_temporal_overlaps graph both match an independent componentwise\n happens-before oracle on tie-hea\n[…]\nnts pass on every\n sync pattern while placements corrupted to collide a conflicting pair\n always fail; same-offset reuse across a happens-before edge passes and\n flipping one clock component fails.",
"is_bot": false,
"headline": "Add property tests for vector-clock conflict semantics and validation…",
"author_name": "Fabian Peddinghaus",
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"committed_at": "2026-07-15T10:52:49Z",
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"oid": "59feac9524fcc889ddf194e329ee787a63fb58af",
"body": "…s (#37)\n\nGeneralize lifetimes from scalar intervals to vector clocks (one component\nper thread): Allocation carries a TimePoint variant on both sides of the\nbinding, temporal overlap becomes the happens-before conflict test, and\n1-element vectors normalize to scalars so existing scalar behavior is\n\n[…]\ns; scripts/\nbenchmark_pressure.py compares all pressure methods, doubles as a torture\npass (bound order, max-equals-global identities, tiling optimum), and drops\nany method exceeding a per-run budget.",
"is_bot": false,
"headline": "Add vector-clock lifetimes, omni allocator, and exact pressure querie…",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-15T10:30:20Z",
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"oid": "03d5a91dd9ef76d58a38f554ea72720c25902dc8",
"body": "…ternals (#36)\n\nSplit greedy_base into first_fit (overlap graph + placement) and a new\nlocal_search module (peak_of, peak_positions, initial_order,\nearlier_neighbors, propose_peak_swap) so the metaheuristics share their\nmove-proposal code instead of keeping near-verbatim copies.\n\n- Centralize timeou\n[…]\nalloc runs (including tie-heavy and single-\nallocation cases); benchmarks match the previous commit within noise\n(greedy 500k allocations ~0.9 s, best-fit 100k ~150 ms, telamalloc/SA/\ntabu unchanged).",
"is_bot": false,
"headline": "Extract shared first-fit and local-search helpers, dedup allocator in…",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-14T15:55:00Z",
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"oid": "03248af7bfebc8e8b56a78cb0f809a859e467df0",
"body": "…#35)\n\nRework the C++ first-fit hot path around index-based overlap adjacency\n(compute_overlap_indices + first_fit_place_indexed), ~580x faster on\nadversarial inputs, keep nanobind builds at -O3 via NOMINSIZE, and\nrelease the GIL across the C++ allocator entry points.\n\nFix a telamalloc segfault on i\n[…]\n), make the\nallocator/source registries live, validate Pool.allocate returns and\nduplicate registry names, dedupe the tqdm fallback, and regenerate the\nREADME figures with the new performance numbers.",
"is_bot": false,
"headline": "Deep-audit fixes: faster first-fit, overflow guards, timeout rename (…",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-14T11:20:25Z",
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"oid": "b10972a59b7107f0714029231c0297b2a37feba2",
"body": "…#30)\n\nAdd best-fit, simulated annealing, tabu search, and telamalloc to the\nREADME benchmark figures: the hero Pareto plot grows from 8 to 11\nallocators (greedy-by-area retired; the size and all variants already\ntell the greedy story), the quality plot now compares greedy (size),\nbest-fit, tabu sea\n[…]\n13 hard problems within 3 s (down from 11 at 10 s)\nat 97.6% mean efficiency, and mm-G in the README allocation figure\nremains proven optimal. The 05 example now also exercises best-fit and\ntelamalloc.",
"is_bot": false,
"headline": "Benchmark new allocators in README figures and unify the 3 s budget (…",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-07T22:30:20Z",
"body_truncated": true,
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"oid": "0d3961997a99606c1bf1b6f46e97b33fb492cbab",
"body": "Move the hero figure from the top of the page into the Benchmarks\nsection, replacing the quality and scaling plots. The intro paragraphs\nnow follow the badges directly, and the Installation section gains a\npip install straight from GitHub alongside the PyPI release.",
"is_bot": false,
"headline": "Restructure README layout (#29)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-07T16:09:59Z",
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"oid": "105e7fb51efe1aa8251252fb84d00df20a0633de",
"body": "…tors (#28)\n\nFour new C++ allocators exposed via nanobind with Python wrappers,\nregistry integration, and unit tests:\n\n- BestFitAllocator: greedy placement into the smallest fitting gap\n among placed temporal overlaps, falling back past the last one.\n- SimulatedAnnealingAllocator: anneals over firs\n[…]\n and best-fit shares the\nplaced-overlap collection with the first-fit offset search. The three\nsearch allocators release the GIL for the duration of the native\nsearch, matching greedy_many/solve_many.",
"is_bot": false,
"headline": "Add best-fit, simulated annealing, tabu search, and telamalloc alloca…",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-07T16:02:59Z",
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"oid": "866382e8d67198d3f2bd10fd3874c0cf38f11cfe",
"body": "…#27)\n\nfig.savefig always passed format=\"pdf\" regardless of the requested file\nextension, so a .png path silently contained PDF bytes. And every axis tick,\ntitle, and limit annotation divided by MB unconditionally, so capacities below\n1MB (small demo/test instances) rendered every y-tick as 0.0 and were\nunreadable.\n\nLet savefig infer the format from the path's own extension, and add\n_byte_unit/_format_bytes to pick B/KB/MB/GB per value instead of assuming MB.",
"is_bot": false,
"headline": "Fix plot_allocation's hardcoded PDF output and MB-only unit scaling (…",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-07T08:18:46Z",
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"oid": "7b9e4f1e187e2b9b663cf841d3c0c881c3a080af",
"body": null,
"is_bot": false,
"headline": "Small set of follow-up fixes (#26)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-06T14:05:18Z",
"body_truncated": false,
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"oid": "7bf8a6902e0fcffd9cc9655720922e19373b8f75",
"body": "Rework the README around a hero Pareto plot (quality vs. solve time),\na solved-allocation rendering, and per-problem quality / scaling figures,\nplus a runnable quickstart, badges, and a feature summary.\n\nAll figures are produced by scripts/generate_readme_assets.py from a\ndeterministic benchmark run\n[…]\n 3 s for scaling). minimalloc has no PyPI wheel,\nso the generator installs it on demand before importing the omnimalloc\nallocators, and caps its scaling series at the sizes it can solve within\nbudget.",
"is_bot": false,
"headline": "Overhaul README with generated benchmark figures (#25)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-06T13:44:38Z",
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"oid": "c8e0ec9a298b2ede8f077d8bf1a322193ef65b9e",
"body": "…FirstFitPlacer (#23)\n\nExtract the first-fit core from greedy.cpp into greedy_base.{hpp,cpp} and add a\nresident FirstFitPlacer that owns the allocations and their overlap map, so\nsearching over candidate orderings only marshals an index permutation across\nthe Python boundary rather than re-marshalin\n[…]\ninimalloc is flattened. Hill-climb annealing is rewritten to an exp(-delta%/T)\nschedule with a corrected default temperature. Adds unit tests for the genetic,\nminimalloc, random, and naive allocators.",
"is_bot": false,
"headline": "Extract shared greedy base and route order-search allocators through …",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-04T13:47:31Z",
"body_truncated": true,
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{
"oid": "f21ee51384862bc4fd2b472824d3cd04dcf5ba2d",
"body": "* Add SuperMalloc branch-and-bound allocator\n\nAdd a SuperMalloc-style allocator that solves the static packing problem via\nportfolio branch-and-bound search running entirely in C++. The Partition\nsearch core (src/cpp/allocators/supermalloc/) is exposed through nanobind\n(Partition, SearchOptions, Sol\n[…]\nchOptions exposes per-rule pruning toggles (canonical, dominance,\nfloor_inference, monotonic_floor, decompose) for ablation.\n\n* Fix MSVC build: prevent windows.h min/max macros clobbering std::min/max",
"is_bot": false,
"headline": "Add SuperMalloc branch-and-bound allocator (#15)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-03T23:08:38Z",
"body_truncated": true,
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{
"oid": "3f4423569906eff0c0d21db8d4ee1a04f5d57fae",
"body": null,
"is_bot": false,
"headline": "Source version from git tags via setuptools-scm (#10)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-03T16:24:50Z",
"body_truncated": false,
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{
"oid": "50ea51d8531b41ab428538a78ef1e2224664996c",
"body": "* Add problem dump/load in minimalloc CSV format\n\nAdd dump_allocation/load_allocation to serialize a System, Memory, or\nPool to minimalloc-format CSV files (id,lower,upper,size) and read them\nback into a Pool. This lets users export an allocation problem they hit\nissues with and share it for inspect\n[…]\nresolution sleep can return early), making the\n>1_000_000 ns assertion flaky. Drive the clock deterministically via\nmonkeypatch so the test verifies the stopped-timer behavior without any\ntiming race.",
"is_bot": false,
"headline": "Add problem dump/load in minimalloc CSV format (#20)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-03T15:41:15Z",
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"oid": "f404ef2b77cf5b89e8b4cf2c884093ed7be9e882",
"body": "The by-all ensembles run 7 independent variants; with parallel=True they\nfan out to a ProcessPoolExecutor. Default remains serial.\n\nAllocations are passed to workers directly and variants are reconstructed\nfrom their registry name; offsets come back on the returned allocations,\nand the winner is pic\n[…]\n regress -- the per-call pool spawn (~0.5s,\ndominated by workers re-importing the C++ extension) dwarfs the work\n(e.g. minimalloc challenging K 0.05s -> 0.6s), so use cores=1 for\nsub-second workloads.",
"is_bot": false,
"headline": "Add opt-in parallel execution to allocate_best_of (#19)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-03T10:12:39Z",
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"oid": "b6a92a47c53c5f26003153f0d4f460a1751dede5",
"body": "* Run test job on all wheel-target platforms\n\nExtend the Checks test matrix beyond ubuntu-latest with one job each on\nubuntu-24.04-arm, macos-latest, and windows-latest (Python 3.13), matching\nthe cibuildwheel platforms in build.yml. The minimalloc source install is\ngated to Linux runners; its tests\n[…]\nonly builds on Linux). Skip the minimalloc allocator in the\nexamples when it is unavailable, and force matplotlib's non-interactive Agg\nbackend in the test job since the runners lack a working Tcl/Tk.",
"is_bot": false,
"headline": "Run test job on all wheel-target platforms (#21)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-03T09:02:05Z",
"body_truncated": true,
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"oid": "b747ec0b7c71dd4f21e728a4305ab8ded39163e2",
"body": "Replace the all-pairs Python loop in compute_conflict_degrees with two\nbisect lookups over pre-sorted start/end lists: an allocation overlaps\nevery other allocation that starts before its end and has not ended by\nits start, minus itself. Results are identical for valid inputs (unique\nids), verified \n[…]\n the dominant cost of both conflict-based variants and thus of\nthe by-all ensembles: at 10k random allocations, greedy_by_conflict_cpp\ndrops from 5.7s to 0.5s and greedy_by_all_cpp from 14.3s to 3.6s.",
"is_bot": false,
"headline": "Make conflict degree computation O(n log n) (#18)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-02T12:23:11Z",
"body_truncated": true,
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{
"oid": "3b4e870a8b0c04c330ef4152162e9ea3f423a540",
"body": "Benchmarked 11 candidate sort orders (plus best-fit placement, which\nlost to first-fit) on minimalloc challenging/small, tiling, pinwheel,\nand RandomSource instances. Two additions carry their weight:\n\n- greedy_by_conflict_size: conflict degree x size, best solo variant\n- greedy_by_start: start asc \n[…]\n-all ensembles, cutting the best-of\nmean gap vs the max-load lower bound from 1.205 to 1.146 on held-out\ninstances. The duplicated conflict-degree loop is now a shared\ncompute_conflict_degrees helper.",
"is_bot": false,
"headline": "Add conflict-size and start-order greedy heuristics (#17)",
"author_name": "Fabian Peddinghaus",
"author_login": "fpedd",
"committed_at": "2026-07-02T11:55:13Z",
"body_truncated": true,
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"oid": "0be87f3d6e7e7be0afdd49e51e01d6322964ebc6",
"body": "The undo path searched for a mismatch between pos_map and alloc_list via\nnext(...) without a default. Because pos_map is kept in sync with\nalloc_list after every swap, the generator was empty whenever simulated\nannealing rejected a step, raising StopIteration and aborting allocation.\n\nTrack the last\n[…]\n\nreverted ordering. Add allocator unit tests and a HighContentionSource\nregression case that reproduces the crash on rejected steps.\n\nCo-authored-by: Fabian Peddinghaus <fabian.peddinghaus@axelera.ai>",
"is_bot": false,
"headline": "Fix StopIteration in hill climb allocator on rejected steps (#16)",
"author_name": "Alex Belke",
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{
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],
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},
{
"key": "governance",
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{
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"notes": [],
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{
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"details": [
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"code": "bus_factor",
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{
"key": "commit_distribution",
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{
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}
]
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{
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"note": null,
"notes": [],
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{
"key": "pr_acceptance",
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]
},
{
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"notes": [
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"code": "excluded_no_data",
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"components": [
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{
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"components": [
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{
"code": "owner_personal",
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}
],
"max_points": 30
},
{
"key": "verified_domain",
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"detail": "not applicable to user accounts",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_applicable_to_user_accounts",
"params": {}
}
],
"max_points": 20
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{
"key": "owner_reach",
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"points": 8.5,
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"login": "fpedd"
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}
],
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{
"key": "track_record",
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"points": 23.9,
"status": "partial",
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{
"code": "public_repos",
"params": {
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},
{
"code": "account_age_years",
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}
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"max_points": 25
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]
},
{
"key": "package_maintenance",
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"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"ecosystems": "pypi",
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"min_days_since_publish": 39
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"components": [
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"points": 25,
"status": "met",
"details": [
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"code": "packages_published",
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"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
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"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
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}
],
"max_points": 35
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{
"key": "version_history",
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"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 5
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}
],
"max_points": 20
},
{
"key": "not_deprecated",
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"details": [
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"code": "package_not_deprecated",
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}
],
"max_points": 20
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]
}
],
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},
{
"key": "engineering",
"band": "good",
"name": "Engineering Quality",
"value": 76,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
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"note": null,
"notes": [],
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"details": [
{
"code": "ci_workflows",
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}
],
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{
"key": "tests_present",
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{
"key": "linter_config",
"name": "Linter config",
"detail": null,
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{
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{
"key": "editorconfig",
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
"band": "moderate",
"name": "Documentation",
"note": null,
"notes": [],
"value": 50,
"inputs": {
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"has_wiki": true,
"homepage": null,
"has_readme": true,
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"has_description": true
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"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
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"details": [],
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{
"key": "documentation_directory",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
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{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
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{
"key": "repository_description",
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"points": 10,
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{
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{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
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}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
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{
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"weight": 0.16,
"metrics": [
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"components": [
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"points": 7.5,
"status": "met",
"details": [],
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},
{
"key": "branch_protection",
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"points": 3.8,
"status": "partial",
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{
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"status": "met",
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{
"key": "cii_best_practices",
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"points": 0,
"status": "missed",
"details": [],
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{
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{
"key": "contributors",
"name": "Contributors",
"detail": "project has 1 contributing companies or organizations -- score normalized to 3",
"points": 0.8,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
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},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "sast",
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"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "69 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:omnimalloc@0.4.0 runtime dependency closure — what installing the published package pulls in — 2 packages. Reachability is not analyzed.",
"notes": [
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"code": "excluded_no_data",
"params": {
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},
{
"code": "weights_renormalized",
"params": {}
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{
"code": "advisories_scope_published",
"params": {
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"assessed": 2
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},
{
"code": "advisories_reachability",
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}
],
"value": 100,
"inputs": {
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"direct_affected_packages": 0
},
"components": [
{
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"details": [
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}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
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"points": 25,
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"details": [
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{
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],
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]
},
{
"key": "malicious_dependencies",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"red_flag": false,
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}
],
"max_points": 100
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]
},
{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"exposures": [],
"policy_countries": [
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"review_only_matches": 0,
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"components": [
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"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
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"points": 100,
"status": "met",
"details": [
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"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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{
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"name": "AI Readiness",
"value": 52,
"weight": 0,
"metrics": [
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"key": "ai_agent_context",
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"note": null,
"notes": [],
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"inputs": {
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"components": [
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],
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{
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"points": 0,
"status": "missed",
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}
],
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]
},
{
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"inputs": {
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},
"components": [
{
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"points": 0,
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},
{
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{
"key": "lint_format_config",
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{
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"status": "met",
"details": [
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"code": "file_list",
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],
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{
"key": "reproducible_environment",
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