From f86c55b4d11206d4338711049c780e2ea41fbf90 Mon Sep 17 00:00:00 2001 From: Adam Getchell Date: Fri, 16 Oct 2026 17:45:23 -0700 Subject: [PATCH] chore(release): release v0.5.0 - Bump version to v0.5.0 - Update citation and README release metadata - Generate the release changelog - Update benchmark and performance artifacts - Update release documentation --- CHANGELOG.md | 1556 +-- CITATION.cff | 4 +- Cargo.lock | 2 +- Cargo.toml | 2 +- README.md | 51 +- SECURITY.md | 18 +- docs/BENCHMARKING.md | 9 + docs/RELEASING.md | 38 +- docs/archives/changelog/0.2.md | 11 + docs/archives/changelog/0.4.md | 1535 +++ .../bench/vs_linalg_lu_solve_median.csv | 34 +- .../vs_linalg_lu_solve_median.provenance.json | 77 +- .../bench/vs_linalg_lu_solve_median.svg | 536 +- docs/performance-runs/README.md | 3 + docs/performance-runs/index.json | 11 + docs/performance-runs/latest.json | 8 + .../evidence.json | 79 + .../report.md | 533 + .../run.json | 9409 +++++++++++++++++ docs/performance.md | 839 +- pyproject.toml | 6 +- scripts/README.md | 5 + scripts/archive_performance.py | 48 +- scripts/tests/test_performance_workflow.py | 103 +- tooling/performance.just | 4 + tooling/performance.toml | 3 +- tooling/semgrep/pyproject.toml | 2 + tooling/semgrep/uv.lock | 9 +- typos.toml | 1 + uv.lock | 86 +- 30 files changed, 12910 insertions(+), 2112 deletions(-) create mode 100644 docs/archives/changelog/0.4.md create mode 100644 docs/performance-runs/README.md create mode 100644 docs/performance-runs/index.json create mode 100644 docs/performance-runs/latest.json create mode 100644 docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/evidence.json create mode 100644 docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/report.md create mode 100644 docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/run.json diff --git a/CHANGELOG.md b/CHANGELOG.md index 3cb7872..59c4b1f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -5,7 +5,7 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). -## [Unreleased] +## [0.5.0] - 2026-10-17 ### ⚠️ Breaking Changes @@ -14,6 +14,43 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 archive-changelog, postprocess-changelog and tag-release entry points with research-repo-tools changelog commands. Tags must use v-prefixed SemVer; tagging requires today's UTC release date matching CITATION.cff. +- contributor recipes use audit, shell-fix, toml-fix, + and test-unit. Redundant aliases and help-workflows are removed; use + bare just to discover the canonical commands. +- la-stack now requires Rust 1.99.0 instead of Rust 1.98.1. + +### Merged Pull Requests + +- Publish reviewed GitHub releases to crates.io [#282](https://github.com/acgetchell/la-stack/pull/282) +- Record algebraic floating-point rejection [#281](https://github.com/acgetchell/la-stack/pull/281) +- Bump the github-actions group with 6 updates [#280](https://github.com/acgetchell/la-stack/pull/280) +- Bump acgetchell/research-repo-tools/.github/workflows/dependabot-approve.yml [#270](https://github.com/acgetchell/la-stack/pull/270) +- Bump the github-actions group across 1 directory with 5 updates [#267](https://github.com/acgetchell/la-stack/pull/267) + +### Added + +- Adopt shared CodeRabbit review commands [`c4fa23c`](https://github.com/acgetchell/la-stack/commit/c4fa23c424849a0c3ad2bf2c42e3c3e842ddaacc) + + - Add opt-in branch and uncommitted review recipes using the pinned + research-repo-tools CLI and repository instructions. + - Verify the default origin/main base against the live remote, preserve + local-base overrides, and propagate review output and failures. + - Document external CLI prerequisites, review scopes, and explicit agent + invocation outside routine validation gates. + - Advance the uv pin to 0.12.21 and refresh locked glam and python-dotenv + dependencies. +- Add stable unsigned vector angles [`09020aa`](https://github.com/acgetchell/la-stack/commit/09020aa18a2b233831a8975b343095d2de1670eb) + + - Add allocation-free borrowed-slice and fixed-vector angle APIs with typed + shape, zero-vector, and non-finite operand errors. + - Preserve extreme scales and tiny separations with power-of-two scaling, + compensated exterior products, and full-angle atan2 evaluation. + - Add independent numerical regressions and properties, allocation checks, + stable benchmark comparisons, and retained measurement provenance. + - Document rounded semantics and the quadratic-time, constant-space tradeoff. + - Permit Git mutations in agent guidance when explicitly approved by the user. + - Validate with full just ci: 955 Rust tests, 502 Python tests, default/exact + doctests, lint checks, benchmark compilation, and examples. ### Changed @@ -31,1222 +68,361 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 version while retaining the real consumer configuration and policy. - Disable inherited commit and tag signing only inside disposable repositories so fixture operations do not require user signing keys. +- Adopt common template and draft reviews [`1572957`](https://github.com/acgetchell/la-stack/commit/1572957a4ada1f8fba900ac18f9378e9e0366ba0) + + - Use the shared 0.1.7 changelog format with a bounded exception for historical deps-dev release-note bodies. + - Preserve literal Rust code during generation and retain complete release history, dates and links. + - Enable automatic CodeRabbit draft reviews and align zizmor-action with the existing scanner pin. +- Complete shared maintenance adoption [`8551e70`](https://github.com/acgetchell/la-stack/commit/8551e7046c725eca7e415031f09ad61c1859460a) + + - Route setup, managed execution, dependency updates, release metadata, + and documentation and fixture checks through pinned research-repo-tools. + - Declare managed Cargo and security tools centrally and reuse shared setup + in hosted CI while preserving uncached release benchmark jobs. + - Remove duplicate maintenance helpers and their dedicated tests, retaining + scientific scripts, benchmark evidence, and consumer policy adapters. + - Add shared OSV and Gitleaks recipes, upgrade PyJWT with crypto support, + and narrowly allow a historical compatibility identifier false positive. + - Document the current shared setup contract and deliberate update policies. +- Adopt shared benchmark primitives [`1c9c66d`](https://github.com/acgetchell/la-stack/commit/1c9c66d75e9c8e46c520372ca35db5435b225600) + + - Delegate Criterion parsing and comparisons, digest verification, archive + extraction, and README section replacement to research-repo-tools. + - Publish complete report, evidence, plot, and retained-summary output groups + through shared transactions while preserving historical schemas and hashes. + - Report invalid timings and publication failures with context, preserving + existing artifacts when an operation fails. + - Remove duplicate tooling and Semgrep rules, refresh subprocess policy, + and update the Ruff and Semgrep pins. + - Accept the benchmark-only paste maintenance advisory until January 1, 2027, + while retaining checks for all other advisories. +- Cover numerical edge cases and preserve benchmark evidence [`1858b5e`](https://github.com/acgetchell/la-stack/commit/1858b5ed11d5c6c1c3c0a3779bc3ada0559016bd) + + - Cover exact zero subtraction, tight square bounds, smallest interval + determinants, and certified proof loss after underflow or range exhaustion. + - Check independently derived scalar benchmark endpoint bits before timing. + - Isolate each benchmark reproduction run's raw Criterion data and logs, + resolve relative input paths, and document the export workflow. + - Refresh development-tool pins and synchronize Cargo and Python locks. +- Cover retained report promotion paths [`73dd02f`](https://github.com/acgetchell/la-stack/commit/73dd02f64773f9727236d7a0b095db3fe6e0f186) + + Verify that absent and empty retained-output mappings leave reports + unchanged, and reject retained summaries that alias the current report + with the complete path-collision diagnostic before mutation. +- Expose borrowed vector angles through an extension trait [`9b18f05`](https://github.com/acgetchell/la-stack/commit/9b18f05c8ac317edef4df13d94b7e7a1858c3061) + + - Replace the unreleased angle_between function with VectorAngle::angle on + coordinate slices, retaining Vector::angle and root/prelude exports. + - Require validated Vector inputs at the internal finite-angle boundary. + - Expand independent rational-reference and typed error-path coverage. + - Replace the angle benchmark study with fresh measurements and provenance + for the extension API, and update API documentation and examples. + - Refresh locked Rust/Python dependencies and the cargo-nextest tool pin. +- Adopt shared performance and changelog workflows [`279dbdf`](https://github.com/acgetchell/la-stack/commit/279dbdfd073bdbf677dbbc37fa56b47a023b1f25) + + Pin published research-repo-tools 0.1.8 and replace the copied changelog template with the supported dependency-body policy. Delegate common-harness + measurement, complete run retention, worktrees and transactional publication while retaining la-stack scientific selection and legacy evidence readers. +- Replace Python adapters with shared tooling [`6decbf8`](https://github.com/acgetchell/la-stack/commit/6decbf8e30c5e151738ea148caa8d10797a3a285) + + - Move benchmark commands, measurement inputs, provenance settings, and + report paths into tooling configuration. + - Use shared process, Criterion, and Just inspection APIs and remove + duplicate local adapters and generic tests. + - Preserve scientific report contracts, historical evidence replay, and + configurable retained-history selection. + - Refresh the uv pin and locked tooling dependencies with just update. +- Compare archive symlink targets by filesystem identity [`0d3532d`](https://github.com/acgetchell/la-stack/commit/0d3532d16bc308fd32cc64619bfd0455b448e743) + + - Preserve the observed link target across rejected report publication. + - Cover absolute and relative symlinks without assuming Windows readlink + returns the same path representation used when creating the link. +- Standardize complete performance reports [`1f33f14`](https://github.com/acgetchell/la-stack/commit/1f33f14631d95d525a36563f2d1813481a241b9a) + + - Use shared rendering and configured publication for complete-run reports. + - Preserve dimension plots, historical report bytes, and immutable evidence. + - Align report guidance with retained provenance and make the Cargo shell + fixture use LF on Windows. +- Adopt shared performance tooling and Python 3.15 [`e64ff30`](https://github.com/acgetchell/la-stack/commit/e64ff30fdacfef0a3f5ebee8ffe598c928cb72a5) + + - Replace six Python helpers and local packaging with research-repo-tools + 0.1.9 and declarative tooling configuration. + - Retain only scientific policy and release adapters, with typed catalog + parsing and source/harness publication checks. + - Share benchmark discovery, baseline verification, reporting, plotting, + and release publication while preserving historical artifacts. + - Retire local console entry points and partial raw-Criterion plotting + in favor of documented just recipes and complete-run evidence. + - Target Python 3.15 while isolating Semgrep on locked Python 3.14 for + local scans, fixtures, and SARIF. + - Refresh development dependencies and document the migration. ### Dependencies - Bump development tools and refresh dependency locks [`8a06208`](https://github.com/acgetchell/la-stack/commit/8a06208337a1e5f9d0ad638c45be478ae17e8200) -### Fixed - -- Preserve consumer command and release contracts [`cb8c471`](https://github.com/acgetchell/la-stack/commit/cb8c471511bf4f7f5f50cdfe3d7a0296e3357f14) - - - Forward preview options to the shared CLI and keep generated archives under - the dedicated changelog formatter and final link check. - - Accept valid included dependency groups while advancing only direct dev - pins, leaving the shared tooling dependency under its own upgrade policy. - - Keep declared release dates valid after a later merge and include canonical - changelog archives in the release staging guidance. - -## [0.4.6] - 2026-09-08 - -### ⚠️ Breaking Changes - -- Matrix::solve_exact now returns RationalVector<D> instead of [BigRational; D]. Use as_array() or into_array() when raw storage is required. -- rename Vector::norm2() to Vector::norm(), Vector::norm2_sq() to Vector::norm_squared(), and Matrix::inf_norm() - to Matrix::norm_inf(). No compatibility aliases are provided. -- la-stack now requires Rust 1.98.1. -- New release performance comparisons require v0.4.4 or newer on both sides. Direct Cargo invocations of vs_linalg must select - -p la-stack-comparison; the just recipes handle this automatically. - -### Merged Pull Requests - -- Bump the github-actions group with 4 updates [#240](https://github.com/acgetchell/la-stack/pull/240) -- Bump the github-actions group with 3 updates [#223](https://github.com/acgetchell/la-stack/pull/223) -- Bump the github-actions group with 4 updates [#221](https://github.com/acgetchell/la-stack/pull/221) - -### Added - -- Accept rational matrix inputs [`703746e`](https://github.com/acgetchell/la-stack/commit/703746e576bf15cca6a4c1e259292b4334946409) - - - add fixed-size rational matrix and vector types with exact determinant signs, determinant values, and solves - - provide stable runtime dispatch through D=8 with explicit exact-to-f64 conversion - - preserve typed diagnostics while reusing row-cleared Bareiss elimination - - add release-tracked Criterion comparisons against BigRational Gaussian elimination - - document the two-domain scalar model and the f64 precision boundary -- Add certified determinant sign enclosures [`cd94ebb`](https://github.com/acgetchell/la-stack/commit/cd94ebbbfecccc1fc79887eec39f1e2b8a3fc56a) - - - Add outward-rounded interval arithmetic with typed range and input errors. - - Certify determinant signs through D=7 with explicit inconclusive results. - - Provide runtime dimension dispatch, documentation, and benchmark coverage. - - Refresh pinned Python development tools and transitive dependencies. -- Add certified dot and affine error bounds [`973e662`](https://github.com/acgetchell/la-stack/commit/973e662bfa1bb85631f6826034f128b181a326c4) - - - Add proof-bearing scalar certificates for dot products and unrounded axis · (left - right) reductions. - - Expose outward bounds for sign and threshold filtering, with inconclusive results when proof conditions fail. - - Document and benchmark the deterministic FMA error model. -- Add overflow-safe Euclidean norms [`f1f7b11`](https://github.com/acgetchell/la-stack/commit/f1f7b11d873db9c70c7db9920ee36efa7b4ed801) - - - Add allocation-free Vector::norm2 with scaled accumulation for large and subnormal finite coordinates. - - Resolve upper-range rounding with exact stack-based square sums, preventing false or hidden overflow without the exact feature. - - Report VectorNorm-tagged NonFinite errors only when the exact norm rounds to infinity; preserve norm2_sq's distinct range contract. - - Avoid redundant first-coordinate arithmetic and share binary64 rounding primitives across vector and interval operations. - - Document approximation limits and add peer-crate norm benchmarks plus scenario comparisons with hypot and Delaunay reference kernels. -- Add const-generic Gram matrix construction [`a62e72a`](https://github.com/acgetchell/la-stack/commit/a62e72a0468ea13c7c5e851dbf195123d5bb0d38) - - - Add allocation-free, const-evaluable `gram_matrix` with independent vector count and dimension - - Preserve bitwise symmetry and typed dot-product overflow diagnostics - - Document geometric uses, conditioning, and floating-point limitations - - Add benchmarks for square and rectangular vector collections - - Simplify exact rational scaling using canonical positive denominators - - Deduplicate factorization property-test fixtures and assertions - -### Changed - -- Assert legacy artifact fixture uses schema 2 [`4524f86`](https://github.com/acgetchell/la-stack/commit/4524f86cbdcb69cdd73e1299520c2ac36a145f02) -- Cover enclosure and range-exhaustion boundaries [`c2437b8`](https://github.com/acgetchell/la-stack/commit/c2437b80fabe6f549111512c9fce2499d4d67346) - - - Exercise binade-boundary multiplication and selected-extrema overflow cases. - - Cover determinant accumulation failures, square/addition exhaustion, and matrix access bounds. - - Clarify that lifting an already-rounded matrix encloses only its stored values. -- [**breaking**] Standardize vector and matrix norm names [`ab483d4`](https://github.com/acgetchell/la-stack/commit/ab483d4c4cb96b2d3f2ba0be38e96f5820b0de91) - - - Distinguish Euclidean norm from squared norm with clearer vector APIs. - - Use norm_inf for the matrix maximum absolute row sum. - - Preserve numerical behavior and typed error contracts. - - Retain historical benchmark IDs and adapters for older releases. - - Document the v0.4.6 migration and clarify norm definitions. - -### Dependencies - -- Bump the github-actions group with 4 updates [#221](https://github.com/acgetchell/la-stack/pull/221) - [`fa501a8`](https://github.com/acgetchell/la-stack/commit/fa501a8d3ae068783f5e83f773ef979a843f14fb) -- Bump the github-actions group with 3 updates [#223](https://github.com/acgetchell/la-stack/pull/223) - [`c0d7c93`](https://github.com/acgetchell/la-stack/commit/c0d7c932c81267dbd780f6b3706f16341f1410c8) -- Bump the github-actions group with 4 updates [#240](https://github.com/acgetchell/la-stack/pull/240) - [`98e322c`](https://github.com/acgetchell/la-stack/commit/98e322c4e32081177c8d4c11aa7aaf7e23a77b4e) - -### Fixed - -- Advance exact Python dev pins with just update [`3616ae9`](https://github.com/acgetchell/la-stack/commit/3616ae97245952b4afd3247fca06cb5db9d3e6e0) - - - Resolve direct development tools as one compatible cross-platform set. - - Preserve runtime and build-system dependency requirements. - - Refresh Ruff, Semgrep, Ty, and their compatible transitive dependencies. -- Enforce the f64 algebraic-operation ban [`753179c`](https://github.com/acgetchell/la-stack/commit/753179c001ce750195b85bf7bc680cca0558eb34) - - - Reject algebraic f64 calls and function items across repository-owned Rust while preserving ordinary operators and `mul_add`. - - Document the numerical contract, MSRV, release-pinned references, and native BLAS alternatives. - - Refresh contributor tool pins and adapt subprocess encoding to Ty 0.0.74. -- Detect qualified f64 algebraic operations [`31021f1`](https://github.com/acgetchell/la-stack/commit/31021f1322a9c443fa4df63e632e8038600b2461) - - - Reject `::algebraic_*` calls and function items. - - Preserve qualified FMA calls and function items as allowed. -- Make just update reconcile all managed tools [`b1ca30a`](https://github.com/acgetchell/la-stack/commit/b1ca30a3f3977d3504b9383aff3907ce73f5a72a) - - - Preflight update prerequisites before modifying dependency or lock state. - - Update Cargo and Python dependencies while preserving coupled exact-arithmetic requirements. - - Upgrade setup-owned Cargo tools and atomically reconcile their pins with the active uv version. - - Keep actionlint and zizmor compatible for local composite-action references. -- Validate uv before repository updates [`37a17ed`](https://github.com/acgetchell/la-stack/commit/37a17edc82488ff0f04ec5775fe1eb13760b0468) - - - Require the active uv to report a stable X.Y.Z version before dependency or Cargo tool changes. - - Preserve pin reconciliation for newer stable uv installations. -- Reject ambiguous uv output before repository updates [`6bb2412`](https://github.com/acgetchell/la-stack/commit/6bb24127cca69f5029346b63fa9bb330381ae9c7) - - - Validate uv output with the reconciler's single-stable-version parser before dependency or tool mutations. - - Accept newer stable uv releases while rejecting ambiguous, missing, prerelease, and embedded versions. - - Refresh managed tool pins and the Semgrep development dependency. -- Make Python automation portable on Windows [`2370cbf`](https://github.com/acgetchell/la-stack/commit/2370cbf819f893ca598f83394330a5936fd10c6b) - - - Bind uv version validation to the exact launcher selected by update recipes - - Preserve byte-exact Git input and explicit text newline policies - - Guard repository scripts against platform-dependent subprocess and file I/O -- Enforce complete Python type annotations [`b2be4e7`](https://github.com/acgetchell/la-stack/commit/b2be4e73c19d0566efd9d7854e325375287c5e83) - - - Enable missing-annotation checks for function parameters and methods - - Format and type-check repository-owned Python fixtures alongside scripts - - Preserve intentional negative fixtures with narrow lint suppressions -- Enforce Python type-only import linting [`dd3d399`](https://github.com/acgetchell/la-stack/commit/dd3d399bf181aea7697c0cca1b6a60f67a39cd2b) - - - Apply Ruff's TC rules to Python static-analysis fixtures. - - Keep annotation-only dependencies out of runtime imports. -- Enforce complete Python fixture linting [`ebc45fe`](https://github.com/acgetchell/la-stack/commit/ebc45fefeb99eec72c13c939d3eb5c3505bf1114) - - - Run the full configured Ruff policy over Python Semgrep fixtures in canonical CI. - - Isolate deliberate fixture violations with narrow per-file suppressions. - - Exclude static-analysis fixtures from CodeRabbit review and leave docstring policy to Ruff. -- [**breaking**] Harden rational APIs and release comparisons - [`d8f9897`](https://github.com/acgetchell/la-stack/commit/d8f9897f59cce0a220efdbbcbaaf9180861889e9) - - - canonicalize signed and unreduced rational inputs at construction boundaries - - preserve invariant-bearing RationalVector solutions across both exact input domains - - retain typed singularity, conversion, and runtime-dispatch diagnostics - - make release comparisons capability-aware for pre-rational benchmark baselines - - clarify exact-input guarantees, f64 precision loss, and benchmark provenance -- Make rational comparisons fair and backward-compatible [`67afc8e`](https://github.com/acgetchell/la-stack/commit/67afc8e61345e1993680c315223e544ea1800937) - - - Exclude input cloning from consuming BigRational reference timings. - - Support schema-1 artifacts that predate rational-input provenance. - - Omit unsupported rational-input rows from legacy coverage checks. -- Avoid false certificate logging alerts [`d8d21db`](https://github.com/acgetchell/la-stack/commit/d8d21dbf76d7a4fa3ba15f37a6086179e7394976) - - - Rename numerical-bound locals so CodeQL does not mistake them for sensitive certificate data. - - Document finite bound invariants, the affine error formula, and typed failure contexts. - - Make proof-range and second-FMA overflow expectations explicit. -- Complete benchmark CI and improve documentation navigation [`ee1c60f`](https://github.com/acgetchell/la-stack/commit/ee1c60f72a7570deae10aa90e54141c9422e4322) - - - Allow the full exact benchmark suite to finish while preserving normal sampling and skipping unused plots. - - Select successful main baselines and report incomplete comparisons accurately. - - Add a canonical 5×5 quickstart, linked feature summaries, Contents, and a Documentation Map. - - Move detailed examples and numerical contracts into rustdoc guides. - - Record README, docs.rs, and GitHub documentation conventions. - - Document numerical logging false positives and the outstanding paste maintenance advisory. - - Update cargo-llvm-cov and rumdl tool pins. -- Correct Windows Markdown checks and benchmark summaries [`e7ca1fe`](https://github.com/acgetchell/la-stack/commit/e7ca1fe2bcd172d4000434b87ce9d511ac7a1487) - - - Count Unicode characters consistently to prevent false Markdown line-length failures on Windows. - - Report benchmark comparisons as unavailable when baseline coverage is missing or incomplete. - - Stabilize Documentation Map navigation across GitHub and rustdoc. - - Link exact determinant filtering to det_direct_with_errbound(). -- Align zizmor audits and harden release cache isolation [`ee091c3`](https://github.com/acgetchell/la-stack/commit/ee091c36e8c6bff299f3536aba6c05ec5c7f659d) - - - Synchronize local and CI zizmor versions and personas, enable authenticated online audits, and clearly report offline fallback. - - Remove dependency and tool caches from release benchmark production while preserving separate producer and publisher permissions. - - Enforce scanner-version and release-cache policies with Semgrep. - - Reorganize README, references, and mathematical guidance with early API selection, alphabetized methods, and stable thematic citations. - - Expand algorithm references, determinant-bound derivations, and numerical contracts for exact conversion, intervals, and scaled products. - - Trim AGENTS.md into focused linked guides and document file ownership. - - Establish documentation filename conventions and align coverage navigation, performance-report links, and generator output paths. -- Verify zizmor version sources and clarify numerical docs [`421bcda`](https://github.com/acgetchell/la-stack/commit/421bcdae365145eb2e32e5087e4ef50d1989c43a) - - - Require the zizmor resolver to read the canonical justfile pin and publish it without substituting a hard-coded or unrelated version. - - Point README mathematical-basis links to the main branch. - - Define roundoff-bound notation explicitly, including binary64 unit roundoff and the D and 2D reduction counts. - - Document non-finite factor rejection in ScaledProduct. - - Exempt intentional Semgrep fixtures from the algebraic-operation prohibition while retaining it for other repository-owned Rust. -- Budget and validate release Criterion baselines [`42a3e1f`](https://github.com/acgetchell/la-stack/commit/42a3e1fc2f4db0fee13e7ae2a72295ec7286934f) - - - Allow 150 minutes for comparative benchmarks and 90 minutes for exact benchmarks within a 285-minute job, preserving full Criterion sampling. - - Require complete, valid raw measurements and matching saved baselines before packaging the archive with its benchmark inventory. - - Report suite runtimes and support manual runs without release publication. - - Specify the repository explicitly when uploading release assets. - - Document runtime estimates, headroom, and pre-release verification. -- Enforce benchmark setup limits and improve README navigation - [`d8382ea`](https://github.com/acgetchell/la-stack/commit/d8382eac0b6b467ea390ea04a5ec04fb4600bc8a) - - - Limit checkout to 2 minutes and share a 28-minute timeout across tool installation, input validation, and benchmark inventory. - - Align budget documentation with the enforced setup limits. - - Place scalar types, API navigation, and features after Quickstart, move Examples before Benchmarks, and update the Contents list. - - Sort feature flags, scalar domains, documentation links, examples, and their run commands lexicographically. -- Attach benchmark baselines before publishing releases [`0ddf9cf`](https://github.com/acgetchell/la-stack/commit/0ddf9cf31e65a41ddeff2fc996f84222c1f19ebf) - - - Require an explicit stable tag and a matching mutable draft release. - - Benchmark the resolved tag commit and verify the uploaded archive's size and SHA-256 digest before publishing the draft. - - Reuse matching draft assets on publisher retries without overwriting conflicting assets or modifying published releases. - - Require fresh draft checks when rerunning benchmarks. - - Document draft creation, workflow dispatch, and failed-run recovery. -- Isolate release benchmarks from default-branch caches [`d9434f2`](https://github.com/acgetchell/la-stack/commit/d9434f2cfcf20c05a898228e563fd0d1eee63632) - - - Run benchmarks from the release tag and check out the workflow's own commit to keep execution in that tag's cache scope. - - Reject mismatched dispatch refs and tags moved since dispatch. - - Update release instructions to use --ref "$TAG" instead of main. -- Correct interval bounds and support mutable dispatch captures - [`3fb215b`](https://github.com/acgetchell/la-stack/commit/3fb215b6dcbc17d5ed209b4b35a6038d8e0362af) - - - Use magnitude-ordered FastTwoSum to avoid spurious non-finite errors in interval addition and subtraction near f64::MAX. - - Allow dimension-dispatch macro bodies to mutate captures while preserving support for consuming closures. - - Skip redundant GCD work when clearing rational denominators. - - Clarify numerical certificates, error provenance, and mutation guarantees in API documentation. - - Sort README API entries and document the existing Gram benchmark suite. -- [**breaking**] Finalize v0.4.6 and preserve benchmark history - [`5c8a514`](https://github.com/acgetchell/la-stack/commit/5c8a51482c94dede10b2d7cb224186c09de76420) - - - Complete the v0.4.6 release PR with updated crate and utility package versions, citation metadata, release documentation, and roadmap - - Generate the release changelog with complete breaking-change descriptions, preserved Rust code formatting, and idempotent summary generation - - Refresh README benchmark assets and the v0.4.6 versus v0.4.5 report - - Preserve every measured local benchmark case in versioned CSV snapshots with means, medians, confidence intervals, sample counts, and provenance - - Regenerate reports and README assets after cleanup or artifact-only commits without rerunning benchmarks - - Publish reports, snapshots, and the latest pointer atomically; reject incomplete inputs, mismatched provenance, and overlapping output paths - - Isolate nalgebra/faer dependencies in the comparison workspace package so exact benchmark builds do not compile peer libraries - - Reuse baseline peer measurements and disable unused Criterion HTML generation to avoid missing-sample errors in filtered runs - - Fix shared-harness target resolution and exact-solve compatibility with supported historical releases - - Use faer's native dot-product kernel under a distinct benchmark identity - - Remove v0.4.3 adapters, missing-row exemptions, and legacy benchmark-name substitutions while preserving historical reports - - Archive the previous performance report and completed optimization studies - - Fix cargo-upgrade version detection during setup -- Restore portable Python validation [`4b6e7a1`](https://github.com/acgetchell/la-stack/commit/4b6e7a15d44f4f3af6b84e5cd7dbd374e0c49f2e) - - - Install git-cliff in CI using the justfile pin and require that version before running Python tests - - Preserve LF line endings in benchmark fixtures to prevent checksum failures on Windows - - Inspect parsed Just recipe bodies when checking benchmark runs so command prefixes and formatting cannot silently omit recipes - -### Maintenance - -- Tighten dependency-update tooling and diagnostics [`7e845d1`](https://github.com/acgetchell/la-stack/commit/7e845d12c7ad4a9d4dffb01740b5016098aa09ef) - - - add `cargo-update` to pinned tool setup and include it in `just update` maintenance flow - - make archive, benchmark, and tag release scripts emit safer error handling with preserved sub-exception diagnostics - - strengthen SemVer and ordering validation paths in tool scripts to fail fast with clearer messages - - refresh contributor/release docs and exact-api docs for updated setup/update expectations - - normalize and simplify exact-module test structure without changing runtime behavior - -### Performance - -- Characterize rational row-clearing allocation costs [`2688964`](https://github.com/acgetchell/la-stack/commit/2688964817484f3466f1cff733eff04e1b26e857) - - - Add small and wide-component rational benchmark fixtures across D=2–8. - - Isolate component cloning and integer scaling costs from complete determinant, sign, and solve operations. - - Publish allocation and timing data with provenance and reproduction steps supporting the existing borrowed implementation. -- [**breaking**] Optimize exact conversion and dense 4D determinants - [`7fd6d8e`](https://github.com/acgetchell/la-stack/commit/7fd6d8efd3cf6c12be5a591d87addd6e4961fa82) - - - Avoid redundant fraction reduction in strict RationalVector conversion. - - Share minors in dense exact 4×4 determinants while preserving the sparse fast path. - - Add adversarial solve benchmarks across D=2,3,4,5,8,16,32,64 and exact-arithmetic diagnostics. - - Include Gaussian reference working-copy costs in benchmark timings. - - Document the decision to retain existing LU/LDLT solve finalization after finding no repeatable speedup. - - Align tooling with Rust 1.98.1 and refresh dependency and tool pins. - -## [0.4.5] - 2026-08-21 - -### ⚠️ Breaking Changes - -- la-stack now requires Rust 1.97.1. -- rename performance-rerender to performance-doc and performance-local-vs-linalg to performance-local-non-exact, replace --rerender with --promote-artifacts, - and remove performance-archive-published. -- la-stack now requires Rust 1.98.0. - -### Merged Pull Requests - -- Bump the dependencies group with 3 updates [#211](https://github.com/acgetchell/la-stack/pull/211) -- Bump the github-actions group with 7 updates [#200](https://github.com/acgetchell/la-stack/pull/200) - -### Added - -- Persist release report artifacts for rerendering [`600445c`](https://github.com/acgetchell/la-stack/commit/600445c325ade517631d50a5f625923f56387f1c) - - - Store deterministic comparison CSV with an adjacent schema-versioned provenance sidecar before temporary worktrees are removed. - - Render and promote reports only from validated artifact reloads, with fail-closed path checks and transactional rollback. - - Add performance-rerender and document artifact retention, GitHub assets, and the release workflow. - - Refresh Rust, Python, contributor-tool, and GitHub Action pins, and separate Dependabot security update groups. - -### Dependencies - -- Bump the github-actions group with 7 updates [#200](https://github.com/acgetchell/la-stack/pull/200) - [`9728daf`](https://github.com/acgetchell/la-stack/commit/9728dafc026bb2a849bae49feaca6144c5598698) -- Bump the dependencies group with 3 updates [#211](https://github.com/acgetchell/la-stack/pull/211) - [`493068a`](https://github.com/acgetchell/la-stack/commit/493068ac653724959f7083f34d5c909a496314bd) - - Updates the requirements on [ruff](https://github.com/astral-sh/ruff), [ty](https://github.com/astral-sh/ty) and - [setuptools](https://github.com/pypa/setuptools) to permit the latest version. - - Updates `ruff` from 0.16.1 to 0.16.2 - - - [Release notes](https://github.com/astral-sh/ruff/releases) - - [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md) - - [Commits](https://github.com/astral-sh/ruff/compare/0.16.1...0.16.2) - - Updates `ty` from 0.0.66 to 0.0.69 - - [Release notes](https://github.com/astral-sh/ty/releases) - - [Changelog](https://github.com/astral-sh/ty/blob/main/CHANGELOG.md) - - [Commits](https://github.com/astral-sh/ty/compare/0.0.66...0.0.69) - - Updates `setuptools` to 84.0.0 - - [Release notes](https://github.com/pypa/setuptools/releases) - - [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst) - - [Commits](https://github.com/pypa/setuptools/compare/v83.0.0...v84.0.0) - -### Fixed - -- Enforce pinned uv in local recipe guards [`938aff6`](https://github.com/acgetchell/la-stack/commit/938aff62517d5055d1db49bc7734e4069ef74d72) - - - Reject missing or mismatched uv versions with actionable diagnostics. - - Reuse the canonical version guard across uv-backed validation helpers. -- Harden release artifact promotion [`8b8537b`](https://github.com/acgetchell/la-stack/commit/8b8537b86226285a343976ea987cf2759bf3dd7d) - - - Treat CRLF and LF archive reports as equivalent while preserving stored bytes. - - Share comparison selection and report-update guidance across generation paths. - - Isolate artifact path resolution and retained-artifact rendering. - - Clarify that durable benchmark downloads are GitHub Release assets. -- Harden numerical and release evidence [`c878701`](https://github.com/acgetchell/la-stack/commit/c8787017122c3e94958e82d327fdab8a305999b8) - - - Surface determinant overflow even when error-bound terms underflow. - - Measure complete benchmark operations symmetrically and bind retained reports to atomic, validated provenance. - - Fail closed on inconsistent release metadata, tags, changelog sections, Semgrep annotations, and recorded CPU provenance. - - Align docs.rs feature annotations, citation identifiers, all-target linting, and configurable property-test runs with documented contracts. -- Harden release and validation edge cases [`260afb8`](https://github.com/acgetchell/la-stack/commit/260afb85fdc8eaa873bdb64b6d7eae76ab6b9abc) - - - Preserve archived changelog bytes during rollback and reject malformed Unreleased headings. - - Match overlapping Semgrep fixture spans deterministically and centralize immutable benchmark provenance handling. - - Document exact matrix/RHS scaling and the power-of-two factor that preserves linear systems. -- [**breaking**] Unify local and release performance workflows - [`c601c41`](https://github.com/acgetchell/la-stack/commit/c601c4146b01868a29288b7221e413706e3e01c7) - - - Retain local Markdown, CSV, and provenance artifacts while allowing same-version comparisons of tracked changes. - - Exclude untracked files explicitly and isolate the narrowed non-exact comparison bundle. - - Promote distinct-release artifacts through performance-doc and keep performance-release atomic and rollback-capable. - - Render one consolidated table per benchmark suite and reject invalid release publication states. -- Isolate algebraic float fixture scans [`56e848f`](https://github.com/acgetchell/la-stack/commit/56e848fb3dbbc93f2fd4c0b566d71489c96dc857) - - - exclude intentional algebraic float violations from production Semgrep scans while preserving direct fixture validation - - cover f64 associated-call syntax alongside f32 and receiver forms - - forbid dead-code suppressions and remove blanket allowances from static-analysis fixtures - -### Maintenance - -- Gate auto-merge on CodeRabbit approval [`2a37961`](https://github.com/acgetchell/la-stack/commit/2a37961ee8c95f2482541910de78680af22bb968) - - - Request one SHA-scoped CodeRabbit review for each Dependabot update. - - Enable squash auto-merge only for the triggering head after required checks pass. - - Group GitHub Actions updates, remove autopep8, and refresh pinned tooling. - - Print an explicit release title in tag-release follow-up guidance. -- [**breaking**] Require Rust 1.97.1 [`99bac26`](https://github.com/acgetchell/la-stack/commit/99bac263ae773cc8cb42c418630c8e7dd7d023b8) - - - align contributor, CI, release, and Clippy toolchain baselines - - compile benchmarks with Cargo's warning policy to preserve cache reuse - - publish CodeRabbit's canonical review check for ruleset enforcement -- Restore ruleset-compatible status [`5235365`](https://github.com/acgetchell/la-stack/commit/5235365efaf38a0d4035d74a46a7468ad10921d0) - - - publish the legacy CodeRabbit commit status required by the main ruleset - - keep review progress disabled until CodeRabbit can publish the required check run -- Standardize validation and centralize tool pins [`54a7e3a`](https://github.com/acgetchell/la-stack/commit/54a7e3a8e8a640fa5069d5c07fffbf1c1dfab903) - - - Compose CI from orthogonal leaf validators with one release-profile nextest pass and separate doctests. - - Resolve workflow tooling through the justfile and shared setup action. - - Document focused validation, notebook scope, and Rust 1.97 tooling policy. - - Refresh development tools, security actions, Dependabot schedules, and lockfiles. -- [**breaking**] Require Rust 1.98.0 [`2f9e0a8`](https://github.com/acgetchell/la-stack/commit/2f9e0a83c4fd974f34f87f29409cf1eac4da5343) - - - align the MSRV, contributor toolchain, dependency locks, and documented maintenance baseline - - forbid algebraic float operations in numerical kernels to preserve IEEE-754 error and reproducibility contracts - - add a scoped just update workflow with atomic Cargo tool-pin reconciliation - - clean failed changelog and performance staging files without disturbing published artifacts - -### Performance - -- Reduce checked determinant query overhead [`2bdf1d3`](https://github.com/acgetchell/la-stack/commit/2bdf1d3dc4b4a27928a888be678b4c360916e94c) - - - Aggregate D≥5 range proofs before a single cold scaled replay. - - Preserve immediate small-dimension fallback and range-safe determinant behavior. - -## [0.4.4] - 2026-07-13 - -### ⚠️ Breaking Changes - -- Rename `Tolerance::new` to `Tolerance::try_new` and `Matrix::get_checked` to `Matrix::try_get`; remove `Matrix::set_checked` in favor of `Matrix::set`. - `Vector::dot` and `Vector::norm2_sq` now borrow their operands. `det_sign_exact` is now infallible and returns `DeterminantSign` instead of - `Result`. `LaError` variants now use typed reason, location, and origin fields and require `..` in downstream matches. LDLT now requires exact - symmetry, determinant error bounds may be unavailable under gradual underflow, and `ERR_COEFF_2`, `ERR_COEFF_3`, and `ERR_COEFF_4` are no longer exported by - the prelude. -- Rust versions earlier than 1.97.0 are no longer supported. - -### Added - -- [**breaking**] Make numerical invariants and errors explicit - [`668daed`](https://github.com/acgetchell/la-stack/commit/668daed6f5d83a03fc95a7872a0a302d097e3fc4) - - - add structured error reasons, locations, origins, and factorization context - - make determinant, exact-conversion, LU, and LDLT paths range-safe and mathematically explicit - - validate benchmark inputs independently and require reproducible, provenance-backed performance evidence - - centralize tool versions, adopt nextest profiles, and replace Codacy with repository-owned checks and SARIF reporting - -### Changed - -- Consolidate setup abort handling [`b9e453e`](https://github.com/acgetchell/la-stack/commit/b9e453e540da3c63b0a14ca94b4bcfbc9c8ff6bd) - - - Share `OrAbort` across exact and comparison benchmarks while preserving contextual panic behavior. - - Centralize Clippy policy in Cargo.toml for consistent local and CI checks. - - Keep `unreachable_pub` enforced while allowing intentional crate-visible helpers. - - Enable CodeRabbit's request-changes review workflow. - -### Dependencies - -- Bump python-multipart in the uv group across 1 directory [`6bb4fb7`](https://github.com/acgetchell/la-stack/commit/6bb4fb7ce48e49d4d2a5bfe4ff5d55b09e6300e2) -- Bump zizmorcore/zizmor-action from 0.5.6 to 0.5.7 [`4a999a6`](https://github.com/acgetchell/la-stack/commit/4a999a664211126e581da47713f6d2426d6db698) -- Bump github/codeql-action/upload-sarif [`85c0a7b`](https://github.com/acgetchell/la-stack/commit/85c0a7bd6a1b3d3e0e00f4e82c6d544c2ca0f22b) -- Bump actions/checkout from 6.0.2 to 7.0.0 [`0f0f956`](https://github.com/acgetchell/la-stack/commit/0f0f956c64ddbc5700f3c2f96b90242703e0a410) -- Bump astral-sh/setup-uv from 8.1.0 to 8.2.0 [`259acaa`](https://github.com/acgetchell/la-stack/commit/259acaa06cc2d6b50f5c024c60cbdf9fe3172f7f) -- Bump codecov/codecov-action from 6.0.1 to 7.0.0 [`035807c`](https://github.com/acgetchell/la-stack/commit/035807c9312ce1ff818dcab9dd986980dfcb37d8) -- Bump vulnerable Python tooling dependencies [`4990260`](https://github.com/acgetchell/la-stack/commit/49902604db70de7c6831f559aee967bf3c376bc1) - -### Documentation - -- Add mathematical basis and clarify numerical guarantees [`31b7b1e`](https://github.com/acgetchell/la-stack/commit/31b7b1e7c547fc69edbb601e68b2f29e83d5cd24) - - - define the binary64, factorization, determinant-filter, exact-arithmetic, tolerance, and error contracts - - align README, API documentation, examples, and LDLT diagnostics with guarantees over stored values - - audit academic references and extend Criterion coverage for determinant error-bound paths -- Clarify determinant and LDLT failure contracts [`e257343`](https://github.com/acgetchell/la-stack/commit/e2573434c541a8115750b3a965882f7b484b6be0) - - - State the determinant sign condition without ambiguous Markdown delimiters. - - Distinguish singular zero pivots from coupled zero-pivot LDLT rejections. - - Align citation and contributor guidance with the positive-definite domain. - -### Fixed - -- Make v0.4.3 comparisons correctness-aware [`4ac5af9`](https://github.com/acgetchell/la-stack/commit/4ac5af9ce104c5126bfd6217414977cca269b62e) - - - Adapt the shared benchmark harness across v0.4.3 API differences without changing measured operations - - Exclude invalid balanced-range baselines while requiring current samples and reporting unavailable comparisons - - Preserve benchmark provenance, suite-specific fallback commands, and publication rollback guarantees - - Harden Windows Git input, changelog links, and version-reference parsing across platforms -- Harden exact arithmetic and benchmark publication [`db2fad5`](https://github.com/acgetchell/la-stack/commit/db2fad50087c773f7ae37f181f720da2a9ff4a23) - - - add `DeterminantWithErrorBound` for paired determinant estimates and certified bounds - - scale exact systems independently and round exact values directly to IEEE-754 - - fail benchmark publication closed on invalid samples or mismatched provenance - - make release and changelog tooling transactional, path-safe, and Windows-portable - - align benchmark CI with pinned local tools and least-privilege publishing -- Harden changelog and version generation [`2e1eb2e`](https://github.com/acgetchell/la-stack/commit/2e1eb2e965333fab51934c2b605fe3465e4b57e6) - - - Reject tag prefixes embedded in longer non-semver revisions - - Preserve fenced examples when stripping Dependabot metadata - - Document the conditional exact-solve scaling invariant - - Regenerate the v0.4.4 changelog through the release workflow - -### Maintenance - -- Update setuptools requirement in the dependencies group [`6a6c339`](https://github.com/acgetchell/la-stack/commit/6a6c339e7fbec1c9ca4226005794e8ab87f0c2d6) - - Updates the requirements on [setuptools](https://github.com/pypa/setuptools) to permit the latest version. - - Updates `setuptools` to 83.0.0 - - - [Release notes](https://github.com/pypa/setuptools/releases) - - [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst) - - [Commits](https://github.com/pypa/setuptools/compare/v65.0.0...v83.0.0) -- Avoid duplicate review checks [`5e15d92`](https://github.com/acgetchell/la-stack/commit/5e15d9250455fd1467e47a735412f65449f30b56) - - - Use the legacy required status while preserving automatic approvals. - - Add explicit dense D3 determinant coverage and document the D4 error bound. -- [**breaking**] Require Rust 1.97.0 [`4033f1f`](https://github.com/acgetchell/la-stack/commit/4033f1f39e411ed066fec808805371979995964b) - - - Align Cargo, the pinned toolchain, Clippy, dependency-audit triggers, and maintainer guidance with the new baseline. - - Audit Rust 1.97 integer bit helpers against exact-arithmetic hot paths and retain existing operations where alternatives do not preserve performance. - - Correct v0.4.3 citation metadata and document exact decomposition and solve scaling accurately. - -### Performance - -- Restore det_direct throughput for D=2..4 [`f6d6885`](https://github.com/acgetchell/la-stack/commit/f6d68855a314fc4802c559080d9faca85db81bb9) - - - Reintroduce branch-free dense expansions for D=2 and D=3. - - Share D=4 minors while retaining guarded sparse evaluation. - - Preserve non-finite handling for mathematically inactive terms. -- Restore small-matrix det_sign_exact throughput [`b8bfa9f`](https://github.com/acgetchell/la-stack/commit/b8bfa9fa0c908ea034d294ceb123c8191eff3395) - - - Reuse proof-bearing shared minors for D4 determinant and permanent evaluation. - - Restore the dense D3 filter while preserving sparse, overflow, and underflow fallbacks. - - Require headline benchmarks to exercise the intended filter and document historical harness overhead. -- Improve inf_norm throughput [`dc28f98`](https://github.com/acgetchell/la-stack/commit/dc28f9828a1e90b5604e4a55284175e50f84d7e2) - - - Check row-sum finiteness once per completed row on the success path. - - Replay only overflowing rows to preserve the first failing matrix coordinate. - - Preserve left-to-right accumulation and const evaluation across dimensions. -- Improve dot and norm2_sq throughput [`ece54d7`](https://github.com/acgetchell/la-stack/commit/ece54d7b2a73111c2bc378a417189e2951a39cbc) - - - Check accumulator finiteness once after the success-path reduction. - - Replay only non-finite reductions to preserve the first failing step. - - Preserve left-to-right fused accumulation and const evaluation. - -## [0.4.3] - 2026-06-09 - -### ⚠️ Breaking Changes - -- det_exact_f64 and solve_exact_f64 now return LaError::Unrepresentable instead of rounding or reporting Overflow for exact values that cannot be represented - exactly as finite f64. Call det_exact_rounded_f64 or solve_exact_rounded_f64 to opt into rounded finite f64 results. -- strict exact-to-f64 APIs now return LaError::Unrepresentable instead of silently rounding, public Matrix and Vector construction is fallible, and the previous - finite proof wrapper APIs are removed. - -### Added - -- Guard README dependency snippets [`7137fee`](https://github.com/acgetchell/la-stack/commit/7137fee16ab33e08f4dc6a60e02417e3e7c4e020) - - - Add a generic docs-version sync check that compares Markdown dependency - snippets against the Cargo package name and version - - Run the docs-version check from the repository Semgrep policy lane - - Refresh README determinant examples with explicit fallible handling and - hidden doctest mirrors - - Update CI uv pins to 0.11.19 -- Report determinant scale overflow precisely [`928f62b`](https://github.com/acgetchell/la-stack/commit/928f62bba0d837afe04cb8ccb3fbfed6b095d8f7) - - - Add a typed LaError::DeterminantScaleOverflow path for exact determinant scale exponent failures - - Convert det_exact_f64 directly from the shared Bareiss integer/exponent pair while preserving Overflow for finite-f64 conversion failures - - Reuse vector finiteness scanning across raw and proof-bearing constructors - - Harden docs version sync checks for reordered inline-table dependency snippets and pruned Markdown traversal -- Add release performance comparison workflow [`53b5fde`](https://github.com/acgetchell/la-stack/commit/53b5fde13f3e4afbd3db80d324185a091203cb75) - - - Extend vs_linalg with LDLT/Cholesky benchmark rows and shared deterministic inputs. - - Add smoke coverage that checks la-stack, nalgebra, and faer agree on benchmark inputs. - - Expand bench-compare to support latest-vs-last reports, suite/scope selection, peer baseline context, and clearer malformed Criterion diagnostics. - - Document the benchmark methodology, release baseline workflow, roadmap direction, and contributor guidance. -- Publish release benchmark baselines [`9497ca5`](https://github.com/acgetchell/la-stack/commit/9497ca5f88dd7800bdf3823123e2a295fcb5ced1) - - - Add a release-only benchmark workflow that saves full Criterion baselines for published releases and attaches the archived baseline to the GitHub Release. - - Keep the regular benchmark workflow focused on PR and main-branch comparison runs. - - Document how to restore archived release baselines for future performance comparisons. -- Feat!(api): make Matrix and Vector finite by construction [`1fa2f55`](https://github.com/acgetchell/la-stack/commit/1fa2f55cfac6f249a7e2bf30922901539e580dd8) -- [**breaking**] Make exact f64 conversions strict [`8e33f1a`](https://github.com/acgetchell/la-stack/commit/8e33f1a8ec291bfcb6312375969efce076421e96) - - - Add explicit rounded exact-to-f64 APIs for determinant and solve results - - Report exact conversion failures with typed Unrepresentable reasons - - Remove finite proof wrapper APIs now that Matrix and Vector carry finiteness directly - - Move error and tolerance contracts into first-class modules with prelude exports - - Update exact benchmarks to distinguish strict Result paths from rounded f64 paths - - Document and exercise the rounded fallback pattern for RequiresRounding errors -- [**breaking**] Make exact f64 conversions strict [`89f3720`](https://github.com/acgetchell/la-stack/commit/89f3720ecde9f12d7a0f42e79394836615e8fd97) - - - Make Matrix and Vector the finite-by-construction public types for exact arithmetic. - - Add rounded exact-to-f64 APIs for determinant and solve callers that want explicit lossy conversion. - - Return typed Unrepresentable reasons when strict exact-to-f64 conversion would round or become non-finite. - - Specialize D4 exact determinants and keep determinant/error-bound zero coefficients from evaluating overflowing absent terms. - - Update exact benchmark comparison reporting to compare strict and rounded APIs against legacy v0.4.2 rows. -- Archive release performance reports [`2817d01`](https://github.com/acgetchell/la-stack/commit/2817d01374ad0aeab98d6f48a3dae9b30f878a8a) - - - Add an archive-performance utility that promotes curated benchmark reports into docs/PERFORMANCE.md while archiving prior release comparisons - - Generate release comparisons in isolated temporary worktrees, including legacy command fallback for published tags - - Wire release and historical archive recipes into just, Python packaging, and release documentation -- Automate published performance report archiving [`d31e26a`](https://github.com/acgetchell/la-stack/commit/d31e26a9d7a47a6c3089028630640bcff5afe7c0) - - - Track the latest curated release comparison in docs/PERFORMANCE.md and archive older comparisons under docs/archive/performance/ - - Let performance-archive-published discover the latest stable GitHub release and previous stable baseline automatically - - Generate release comparisons in isolated temporary worktrees, with release-asset restore and local baseline fallback paths - - Update benchmark and release docs to use the scripted workflow instead of manual checkout steps -- Split local and release performance comparisons [`7258525`](https://github.com/acgetchell/la-stack/commit/7258525590f2ed68d41879e71c833010e408e7f7) - - - Add default performance-local and performance-release workflows that infer the relevant release tags and run in temporary worktrees. - - Add a performance-github-assets workflow for comparing stored GitHub Actions release benchmark assets without local cargo runs. - - Normalize release tags before fetching, downloading assets, or checking out detached worktrees. - - Update performance docs, release guidance, and generated report instructions to use the new benchmark workflows. -- Add vs_linalg-only performance checks [`d7c1487`](https://github.com/acgetchell/la-stack/commit/d7c1487115e1a8e5bb1ec4fcc7592786e300e2ce) - - - Add local workflows for comparing current non-exact la-stack kernels against a release baseline without rerunning current nalgebra/faer or exact benchmarks. - - Route archive-performance baseline and current benchmark commands by suite, with legacy fallback support for older release worktrees. - - Document the faster release-signal workflow and expand Semgrep fixtures for benchmark, example, doctest, and public panic-path rules. - -### Changed - -- Cover determinant scale overflow boundaries [`532093a`](https://github.com/acgetchell/la-stack/commit/532093a1ed9f65ace159f80aac290907d570ea8a) - - - Extract determinant scale exponent calculation into a private helper - - Assert typed DeterminantScaleOverflow errors for dimension conversion and exponent product overflow -- Harden support script parsing [`87e1d00`](https://github.com/acgetchell/la-stack/commit/87e1d0042ad2de7888c1a065ab78524a63f4c045) - - - Require Python 3.13 for support-script tooling and align Ruff/Ty with that baseline. - - Replace mypy with strict Ty checking in the Python workflow. - - Parse TOML, JSON, argparse, and Semgrep inputs into typed boundary objects before downstream use. - - Reject malformed Criterion estimates, non-finite timings, invalid confidence intervals, and malformed Semgrep result shapes. -- Harden Rust release hygiene [`8e12c93`](https://github.com/acgetchell/la-stack/commit/8e12c935fe54e265e8ceb640702267ec0e71b7b1) - - - Promote missing documentation and dead code lints to deny-level checks. - - Forbid unsafe code explicitly across Rust modules and benchmark targets. - - Document the LU/LDLT empty-matrix convention for D=0. - - Move exact benchmark input generation into typed helpers and consolidate exact benchmark operation dispatch. - -### Documentation - -- Sync citation metadata for v0.4.2 [`f473ec5`](https://github.com/acgetchell/la-stack/commit/f473ec50946e5f668e9ad9a2d978e499dcb10f04) - - - Update CITATION.cff with the v0.4.2 version and release date. - - Align the Python utility package metadata and lockfile with the crate release. - - Add citation metadata validation to the release checklist and config lint flow. - - Include CITATION.cff in YAML/CFF formatting checks. -- Make release documentation links portable [`dd4ad19`](https://github.com/acgetchell/la-stack/commit/dd4ad192a42e28d9cc72b336b40802fe65cea4f0) - -### Fixed - -- Escape path regex in benchmark parser test [`1222c93`](https://github.com/acgetchell/la-stack/commit/1222c9325c7b7ea0e1a174e4ee6f0f08e1f7e94b) - - Use a literal regex pattern for the malformed Criterion JSON diagnostic so - Windows paths with backslashes do not break pytest's match expression. -- Align ty with Python 3.13 [`b9e0ba0`](https://github.com/acgetchell/la-stack/commit/b9e0ba08e54a15d8eddd5c5c53edc37bbc03939a) -- Preserve coordinates for overflowed accumulators [`1d976b3`](https://github.com/acgetchell/la-stack/commit/1d976b346172ad4eca37c68a3ec31817eeca8529) - - - Return matrix-cell metadata when inf-norm row sums or symmetry tolerance scaling overflow. - - Avoid reparsing finite-by-construction RHS vectors in LU and LDLT solves. -- Re-raise unexpected archive failures [`7938386`](https://github.com/acgetchell/la-stack/commit/7938386166f1f3f5cf594c5def67458d48e19a98) - - - Limit archive-performance CLI error handling to expected validation, filesystem, subprocess, and runtime failures. - - Let unexpected exceptions propagate so benchmark archiving bugs surface during development. - -### Performance - -- Improve factorization kernel [`8837df1`](https://github.com/acgetchell/la-stack/commit/8837df1f54a9fa2c20abc1487cfce4de8c8e09c5) - - - Preserve the tiny-dimension update shape for D2-D5 to avoid regressing the core fixed-size path - - Fuse multiplier computation with trailing updates for larger dimensions to reduce extra column walks - - Rely on the LDLT factorization proof instead of a redundant final finite-storage scan -- Optimize exact and factorized solve kernels [`1690355`](https://github.com/acgetchell/la-stack/commit/1690355bf27c2cbba685ba0cd70486275c7620b8) - - - Split LU and LDLT solve paths so tiny matrices keep the direct kernels while larger fixed dimensions avoid extra substitution work. - - Convert dyadic exact solve results directly to finite f64 and preserve UnrepresentableReason recovery semantics on strict conversion failures. - - Modernize release branch commands and keep just recipes sorted. - -## [0.4.2] - 2026-06-04 - -### Added - -- Feat!(matrix): enforce fallible matrix invariants [`e26c283`](https://github.com/acgetchell/la-stack/commit/e26c28358b2358100353b2895441b68892e92cd7) -- Feat!(api): enforce fallible numeric invariants [`adfc33b`](https://github.com/acgetchell/la-stack/commit/adfc33b945b259721bd1067e797ed2e7d4ec0e6e) -- Feat!(matrix): make determinant API tolerance-free [`11a355c`](https://github.com/acgetchell/la-stack/commit/11a355c099eaf366daec8c95af61b6934f914960) -- Feat!(api): hide finite and symmetry proofs behind matrix APIs - [`7219336`](https://github.com/acgetchell/la-stack/commit/721933671c28eb71953f1386a201622d6171caf7) -- Guard public Rust examples against unwrap [`df1130a`](https://github.com/acgetchell/la-stack/commit/df1130a7ad0ba69a1072ef231e14f3efb7e4b8de) - - - Add repository-owned Semgrep rules for unwrap and expect usage in public doctests, examples, and benchmarks. - - Add fixture-based Semgrep rule tests and include them in the lint workflow. - - Update examples and benchmarks to model typed fallible flow or operation-labeled benchmark failures. -- Feat!(api): enforce finite Matrix and Vector construction [`92ba403`](https://github.com/acgetchell/la-stack/commit/92ba4034b194875c62a27f24dfbf6d43f380f54e) - -### Changed - -- Remove redundant cache restore keys for cargo-llvm-cov [`f75a01c`](https://github.com/acgetchell/la-stack/commit/f75a01c99c8dbcc8b6ffc36ae9f94ba968a2f111) - - Remove the broad restore-keys pattern to ensure only exact version matches - are used from the cache, preventing potential version mismatches during - CI runs. -- Revert "ci: modernize tooling checks and example execution" - [`a4b9f64`](https://github.com/acgetchell/la-stack/commit/a4b9f64235f53274270ef9272634a61f653dad87) -- Reapply "ci: modernize tooling checks and example execution" - [`758321a`](https://github.com/acgetchell/la-stack/commit/758321acf872b1f17286ff3bb7bee6a807e4b440) -- Encode nonzero mantissas in exact decomposition [`7a664ed`](https://github.com/acgetchell/la-stack/commit/7a664ede2f4add168c5813f8d24e16732fa03b30) - - - Replace the exact-arithmetic zero mantissa sentinel with `Option`. - - Carry nonzero mantissa proof through matrix/vector decomposition and BigInt scaling. - - Clarify determinant documentation around uncertified `det()` bounds. - - Keep SPD determinant proptests on the tolerance-aware LU path. -- Simplify finite proof wrappers [`54b603c`](https://github.com/acgetchell/la-stack/commit/54b603c21f0eb5b4d63ff334fac7f8cc325ebc2e) - - - Use the checked proof-wrapper constructors as the single internal path for finite matrices and vectors. - - Remove exact-arithmetic tests that duplicated the matrix and vector non-finite boundary checks. - -### Dependencies - -- Bump taiki-e/install-action from 2.75.18 to 2.75.22 [`d6c944b`](https://github.com/acgetchell/la-stack/commit/d6c944bb7dd30bb00dfe820bc355c4351cb1f242) -- Bump actions/setup-node from 6.3.0 to 6.4.0 [`1fc57e1`](https://github.com/acgetchell/la-stack/commit/1fc57e1d5a2e9aed2cc67c90a6ce63b9eb469e2e) -- Bump pastey from 0.2.1 to 0.2.2 in the dependencies group [`5b215d5`](https://github.com/acgetchell/la-stack/commit/5b215d5a87a25744d313867471943a614e81abd0) -- Bump taiki-e/install-action from 2.75.22 to 2.77.3 [`3e5ce42`](https://github.com/acgetchell/la-stack/commit/3e5ce4273cbe02e0792747b8170efde5d079ae0c) -- Bump actions-rust-lang/setup-rust-toolchain [`8532b08`](https://github.com/acgetchell/la-stack/commit/8532b084168e07cfe6b48bb90fa2e533cb69d990) -- Bump taiki-e/install-action from 2.77.3 to 2.78.3 [`bef2caf`](https://github.com/acgetchell/la-stack/commit/bef2cafcedd072857742da53256dd472a5855655) -- Bump the dependencies group across 1 directory with 2 updates - [`ba01a14`](https://github.com/acgetchell/la-stack/commit/ba01a14346b84fd6385ee8a6acff8b2180080df5) -- Bump taiki-e/install-action from 2.78.3 to 2.80.0 [`480e61b`](https://github.com/acgetchell/la-stack/commit/480e61b85638fb044edccd8116eec777f5588f7d) -- Bump codecov/codecov-action from 6.0.0 to 6.0.1 [`3ca8eed`](https://github.com/acgetchell/la-stack/commit/3ca8eed89997379e6cbad863ecc274bba1651749) - -### Documentation - -- Document feature requirement for exact APIs [`19b10d5`](https://github.com/acgetchell/la-stack/commit/19b10d552e83b6a7f9e91695b4850b8fab3f4550) -- Document scalar scope and release roadmap [`bfb0393`](https://github.com/acgetchell/la-stack/commit/bfb039386588f94b95561c610181ca6d486acd6e) - - - Clarify that la-stack intentionally supports f64 floating-point APIs plus optional exact rationals, not alternate scalar families. - - Add a roadmap covering the v0.4.x stable-Rust issue sequence and the v0.5.0 generic_const_exprs anchor. - - Refresh generated changelog entries and archived changelog grouping. -- Document finite RHS solve validation [`075aed7`](https://github.com/acgetchell/la-stack/commit/075aed78cf8264fc920258f1f1d977ddd589ffd7) - - - Document that LU and LDLT solve_vec reject non-finite RHS entries with LaError::NonFinite metadata. - - Cite the Bareiss reference in the exact solve helper docs and describe exact-arithmetic growth and complexity. - - Cover finite proof defaults and non-finite RHS solve boundaries in unit tests. -- Clarify finite solve and norm guarantees [`fb71485`](https://github.com/acgetchell/la-stack/commit/fb71485cac0b464b2fa9ee949140a558b7738781) - - - State that LU and LDLT solve_vec use floating-point substitution without a certified absolute rounding-error bound. - - Clarify that inf_norm reports NonFinite for unchecked stored NaN/∞ as well as row-sum overflow. - - Exercise the unchecked finite-proof fixture path directly in exact tests. -- Update v0.4.2 release notes [`7e11f93`](https://github.com/acgetchell/la-stack/commit/7e11f930b94bbba99c1c426e68a515bbefb8c489) - -### Fixed - -- Reject overflowed symmetry tolerance scaling [`a7b052a`](https://github.com/acgetchell/la-stack/commit/a7b052af5dc6361198bbfe1e17d6b1f0ba225ed7) - - - Enforce the tolerance contract around symmetry checks by surfacing scaled - tolerance overflow as a typed non-finite intermediate error. - - Document finite, non-negative tolerance requirements across tolerance-taking - matrix APIs. - - Add regression coverage for invalid tolerance construction and symmetry - tolerance overflow. - - Update exact examples to propagate typed crate errors instead of unwrapping. -- Harden Semgrep fixture parsing [`ac44c07`](https://github.com/acgetchell/la-stack/commit/ac44c078cc4435d5beca27f1890fbb4046cf5952) - - - Ignore non-canonical todoruleid annotations when counting expected rule hits. - - Reject malformed Semgrep JSON results with clear stderr diagnostics instead of propagating KeyError. -- Revalidate finite proof conversions [`419a90f`](https://github.com/acgetchell/la-stack/commit/419a90f7267608051736498154ac5e6faf0909c5) - - Ensure internal finite proof conversions cannot accept raw Matrix or Vector storage without checking the invariant. - - - Revalidate TryFrom<Matrix<D>> and TryFrom<Vector<D>> before constructing finite wrappers. - - Measure exact random percentile benchmarks over repeated corpus timings and cumulative input sets. - - Tighten Codecov status thresholds and extend benchmark workflow timeout. - - Keep Semgrep constructor fixtures aligned with public API guardrails. -- Revalidate public compute inputs [`ffca00e`](https://github.com/acgetchell/la-stack/commit/ffca00e9dd6fde5e57c8064f69807a76e45a469e) - - - Parse Matrix and Vector storage into private finite proof-bearing types at public compute boundaries. - - Reject unchecked non-finite storage before LU, LDLT, determinant, norm, dot, and exact-arithmetic paths can proceed. - - Keep unchecked proof-wrapper constructors crate-private for internal paths with local finiteness proofs. - - Document the private proof-bearing invariant model in the API overview and roadmap. - -### Maintenance - -- Migrate coverage to cargo-llvm-cov [`66f2117`](https://github.com/acgetchell/la-stack/commit/66f21173344033b3003dd6e46b8400b08e6fdd40) -- Align shared security and release tooling [`b303509`](https://github.com/acgetchell/la-stack/commit/b3035095964d9491f0a3d5c4fb790ab5c22cd06f) - - - Run CI through pinned uv and cached Cargo tooling across all supported platforms. - - Add repository Semgrep rules, action allowlist coverage, CodeQL, zizmor, and SARIF workflows. - - Raise the Rust and Python tooling floors to Rust 1.96 and Python 3.12. - - Add archive-aware changelog generation, post-processing, and tag-release tooling. - - Preserve exact arithmetic overflow reporting without non-finite sentinel defaults. -- Modernize tooling checks and example execution [`da626bc`](https://github.com/acgetchell/la-stack/commit/da626bcca899aa91d58f728db433a53a46179e92) - - - Run examples from prebuilt binaries instead of invoking cargo run for each example. - - Add check/fix recipe aliases and guard documented command ordering with Semgrep. - - Document the Rust-native Markdown, YAML, TOML, spelling, and workflow action policy. - - Tighten Python/tooling setup by pinning pytest, using .python-version in CI, and hardening setup-tool version checks. - - Keep CI running the full just ci workflow across Ubuntu, macOS, and Windows. - -### Performance - -- Restore checked factorization throughput [`f2e6d56`](https://github.com/acgetchell/la-stack/commit/f2e6d560bd1cb327ff0616644ef704a865520e32) - - - Move LU and LDLT non-finite factor checks out of cubic update loops while preserving completed-storage validation before factors escape. - - Borrow factor rows and finite vector arrays in solve, dot, and norm paths to avoid avoidable copies. - - Refresh v0.4.2 release artifacts, LU solve benchmark docs, and release workflow docs. - - Preserve README benchmark table spacing in the Criterion plot updater. - -## [0.4.1] - 2026-04-21 - -### Merged Pull Requests - -- Propagate NaN in Matrix::inf_norm [#85](https://github.com/acgetchell/la-stack/pull/85) -- Add adversarial-input coverage for exact arithmetic [#80](https://github.com/acgetchell/la-stack/pull/80) -- Integer-only forward elimination for gauss_solve [#72](https://github.com/acgetchell/la-stack/pull/72) - -### Added - -- Regression tests for solver and determinant overflow handling - [`f763b11`](https://github.com/acgetchell/la-stack/commit/f763b119bcc57276b83f370b0bf7abce654c7eb8) - - Add test cases to verify that LDLT and LU solvers, as well as determinant - calculations, correctly detect and return `LaError::NonFinite` when - intermediate calculations overflow to infinity despite having finite - inputs. -- Defensive-path test coverage for LU and LDLT solve_vec [`87d426f`](https://github.com/acgetchell/la-stack/commit/87d426fca1627445b804fd26b62fc7d9d4f0ae48) - - Add unit tests to exercise internal safety nets in the LU and LDLT - diagonal solve routines. These tests manually construct factors with - invalid diagonals (NaN or sub-tolerance) to verify that solve_vec - correctly surfaces NonFinite and Singular errors, even though these - states are unreachable via the standard factorization APIs. -- Const-ify Lu/Ldlt det + solve_vec and Matrix inf_norm + det_errbound - [`81ecb35`](https://github.com/acgetchell/la-stack/commit/81ecb35bdaf159f1f44d1eb24274ecf82c6567d5) - - Make six public methods `const fn`, completing const-evaluation parity - with `Matrix::det_direct` and `Vector::dot` now that MSRV 1.95 exposes - `f64::mul_add` as const (1.94) and `core::hint::cold_path` as const - (1.95): - - - `Lu::det`, `Lu::solve_vec` - - `Ldlt::det`, `Ldlt::solve_vec` - - `Matrix::inf_norm`, `Matrix::det_errbound` - - Iterator chains (`.iter().map().sum()`, `.enumerate().take(i)`, - `.enumerate().skip(i + 1)`, `.iter_mut().enumerate().take(D)`) were - rewritten as `while` loops since they are not const-stable. - - Fix error-variant correctness in both solve_vec paths: - - A corrupt stored `U` / `D` diagonal at `(i, i)` now surfaces as - `LaError::NonFinite { row: Some(i), col: i }`, matching the - convention used by `Matrix::det`, `Lu::factor`, and `Ldlt::factor`. - - A computed-intermediate overflow keeps `row: None, col: i`. - - Previously both were conflated into `row: None, col: i`, defeating - debuggability for callers who construct factorizations directly. - - Sharpen `LaError::NonFinite` variant docs and the `# Errors` sections of - `Lu::solve_vec` / `Ldlt::solve_vec` to spell out the `(row, col)` - contract for each failure mode. -- Fast-filter boundary proptests for exact determinant sign [`6357db3`](https://github.com/acgetchell/la-stack/commit/6357db35c70bca1b93e6bbf9a4fd231913631950) - - Introduce proptests to verify that the floating-point determinant sign - matches the exact sign whenever the error bound is satisfied. This - validates the correctness of the Shewchuk-style filter used in determinant - calculations. - - Additionally, improve test reliability by correcting the diagonal dominance - calculation to properly account for the maximum off-diagonal magnitude and - refactor matrix-vector multiplication helpers to use idiomatic iterators. - -### Changed - -- Finalize documentation, benchmarks, and error handling [`0b98d3f`](https://github.com/acgetchell/la-stack/commit/0b98d3f6dbdd74699c318c4744a2b2f9a1b78481) - - Synchronize the CHANGELOG, README, and REFERENCES for the upcoming release. - This includes documenting the new absolute error bound coefficients for - determinants, adding a dedicated section for AI agent governance, and - refining internal error helpers to use a more consistent coordinate - convention for non-finite values. -- Consolidate and expand const-evaluability tests via macros [`f8d80a0`](https://github.com/acgetchell/la-stack/commit/f8d80a01e9913f87e1b19b2ad5ffbc0994e2bfdb) - - Refactor manual const-evaluation tests in `Ldlt` and `Matrix` into macros - to standardize coverage across matrix dimensions 2 through 5. This - ensures all determinant and norm variants are fully exercised at compile - time. -- Refactor solve_exact to use hybrid Bareiss forward elimination - [`ecbbe8a`](https://github.com/acgetchell/la-stack/commit/ecbbe8a571ccaeb9cfedbf0269b8db44d43a5773) - - Migrate the exact linear solver to a hybrid approach that performs O(D³) - forward elimination using fraction-free Bareiss updates on integers, - limiting BigRational arithmetic to the O(D²) back-substitution phase. - This eliminates per-entry GCD overhead during elimination. Internal f64 - decomposition is unified via f64_decompose, and f64_to_bigrational is - moved to test scope. -- Polish exact module (Component struct, errors, perf) [`53a5be6`](https://github.com/acgetchell/la-stack/commit/53a5be6abecc0af332398236ed6803ed75564b03) - - Major refactor of `src/exact.rs`: - - - Extract shared Bareiss primitives (`decompose_matrix`, `decompose_vec`, - `component_to_bigint`, `build_bigint_matrix`, `build_bigint_vec`, - `bareiss_forward_eliminate`) so `bareiss_det_int` and `gauss_solve` - share a single integer-Bareiss core. - - Hybrid BigInt/BigRational solve: forward elimination runs entirely in - `BigInt` with fraction-free Bareiss updates on `(A | b)`; only the - `O(D²)` back-substitution phase lifts into `BigRational`. - - `mem::take` in back-substitution eliminates per-entry `clone()` calls - on `rhs[i]`, `a[i][j]`, `a[i][i]`. - - Structured errors replace preconditions: - - `decompose_matrix` / `decompose_vec` fold `is_finite()` into the same - pass that decomposes each entry and return - `Err(LaError::NonFinite { row, col })` on the first non-finite cell. - - `bareiss_det_int`, `bareiss_det`, `gauss_solve` now return - `Result<_, LaError>`; error propagates to every public entry point via - `?`. - - `validate_finite` and `validate_finite_vec` removed (dead after the - refactor); `det_sign_exact` relies on IEEE 754 NaN/∞ propagation - through `det_direct()` plus `bareiss_det_int` for Stage-2 validation. -- Add adversarial-input coverage for exact arithmetic [#80](https://github.com/acgetchell/la-stack/pull/80) - [`5bf5815`](https://github.com/acgetchell/la-stack/commit/5bf5815cb165c3b6145c5592420a58085a66efaa) - - Expand benchmark, unit-test, and proptest coverage of the exact-arithmetic - APIs to catch tail cases that fixed well-conditioned inputs miss. - - Benchmarks (benches/exact.rs): - - - Factor out `bench_extreme_group` helper running the same four benches - (`det_sign_exact`, `det_exact`, `solve_exact`, `solve_exact_f64`) so - adversarial groups are directly comparable. - - Extend `exact_near_singular_3x3` with the two solve benches (the - primary motivating use case for exact solve was previously unmeasured). - - Add `exact_large_entries_3x3` (entries near `f64::MAX / 2`) to stress - intermediate BigInt growth during Bareiss forward elimination. - - Add `exact_hilbert_4x4` / `exact_hilbert_5x5` to stress the - `f64_decompose → BigInt` scaling path on ill-conditioned inputs. - - Tighten bench `expect(...)` messages to name the invariant each call - relies on (e.g. "non-singular matrix with finite entries") so panics - identify both where (Criterion bench name) and why. - - Unit tests (src/exact.rs): - - `solve_exact_near_singular_3x3_integer_x0` — integer-x0 round-trip - through the 2^-50-perturbed matrix. - - `solve_exact_large_entries_3x3_unit_vector` — `A·[1,0,0] = [big,1,1]` - round-trip with `f64::MAX/2` diagonal. - - `det_sign_exact_large_entries_3x3_positive` — asserts the fast filter - falls through (`det_direct` is non-finite) and `det_exact_f64` returns - `Overflow { index: None }`. - - `det_sign_exact_hilbert_positive_{3,4,5}d` — Hilbert is SPD, sign = 1. - - `solve_exact_hilbert_residual_{3,4,5}d` — residual `A·x - b` is exactly - zero in `BigRational`, stronger than integer round-trips since Hilbert - entries are non-terminating in binary. - - Proptests (tests/proptest_exact.rs): - - `solve_exact_integer_roundtrip_{2..5}d` — random diagonally-dominant - integer `A` and small-integer `x0`, verify `solve(A, A·x0) == x0` exactly. - - `solve_exact_residual_{2..5}d` — random `A` + small-integer `b`, verify - `A · solve(A, b) == b` exactly (catches back-sub bugs on fractional - solutions). - - `det_sign_exact_agrees_with_det_exact_{2..5}d` — on full (non-diagonal) - small-integer matrices, asserts `det_sign_exact() == det_exact().sign()` - (exercises the filter/fallback boundary previously only diagonal-tested). - - Prelude (src/lib.rs): - - Re-export `BigInt` alongside `BigRational` (crate root + prelude). - - Re-export `FromPrimitive`, `Signed`, `ToPrimitive` from `num-traits` in - the prelude so the re-exported `BigRational` is actually usable for - construction (`from_f64`, `from_i64`) and sign queries without forcing - downstream users to add `num-bigint` / `num-rational` / `num-traits` to - their own Cargo.toml. Additive; no public API breaks. - - Tooling (scripts/bench_compare.py + test_bench_compare.py): - - Register the three new adversarial groups in `EXACT_GROUPS`. - - Extend `_group_heading` with human-readable titles - ("Large entries 3x3", "Hilbert 4x4", "Hilbert 5x5"). - - Add group-heading unit tests for the new cases. - - Test results (`just ci`): - - cargo test --features exact: 368 lib + 20 proptest_exact + 40 other - proptests + 34 doc-tests — all pass - - cargo test (no features): 175 lib + 40 proptests + 29 doc-tests — all pass - - Python: 104 tests pass (ty, mypy, ruff clean) - - Clippy (pedantic + nursery + cargo, `-D warnings`): clean - - fmt, taplo, yamllint, shellcheck, spell-check, bench-compile, examples: clean -- Expand exact-arithmetic re-exports and adversarial benchmarks - [`b1a491d`](https://github.com/acgetchell/la-stack/commit/b1a491d902ccdaba6f9cd2e6f8e05514b6dfa3de) - - Update the `exact` feature to re-export `BigInt` and essential `num-traits` - (FromPrimitive, ToPrimitive, Signed) alongside `BigRational`. This - simplifies downstream usage by removing the need for direct dependencies - on the `num` ecosystem for common operations. - - Additionally, formalize adversarial-input benchmarking for near-singular, - large-entry, and Hilbert matrices to better track performance on - ill-conditioned data. CI benchmark comparisons are now more resilient to - newly added benchmarks via `--baseline-lenient`. -- Update AGENTS.md [`1e0648d`](https://github.com/acgetchell/la-stack/commit/1e0648dad3147ef127c775d8969b7cd214a2a6ed) - -### Dependencies - -- Bump taiki-e/install-action from 2.73.0 to 2.75.7 [`a1d1c1e`](https://github.com/acgetchell/la-stack/commit/a1d1c1edba7d5bf6928de4e8cab86ba853685430) -- Bump actions/download-artifact from 4.3.0 to 8.0.1 [`8772ea2`](https://github.com/acgetchell/la-stack/commit/8772ea2f18cf1b94a21e269b4bc0c8e0a3b650eb) -- Bump rand from 0.9.2 to 0.9.4 [`b91670a`](https://github.com/acgetchell/la-stack/commit/b91670a46f82306dde5433ca7c406a8757e3fc59) -- Bump actions/upload-artifact from 7.0.0 to 7.0.1 [`7579274`](https://github.com/acgetchell/la-stack/commit/7579274d56ab8c46eae6906c07a3c0d0fd41c84f) -- Bump actions/github-script from 8.0.0 to 9.0.0 [`a522abd`](https://github.com/acgetchell/la-stack/commit/a522abdabf211d47f0f52cbfc2a349fa72ce87e2) -- Bump actions/cache from 5.0.4 to 5.0.5 [`b12d95c`](https://github.com/acgetchell/la-stack/commit/b12d95c8ce242ea6014c6a6aaa7845ff501d2e4d) -- Bump actions-rust-lang/setup-rust-toolchain [`c728774`](https://github.com/acgetchell/la-stack/commit/c72877460efba3d598f64ff253d2df8f3695acb1) -- Bump astral-sh/setup-uv from 8.0.0 to 8.1.0 [`7a18733`](https://github.com/acgetchell/la-stack/commit/7a18733ba0f39102678bbe30772fcde10f20e9d8) -- Bump taiki-e/install-action from 2.75.7 to 2.75.18 [`433cfc1`](https://github.com/acgetchell/la-stack/commit/433cfc1b01c9128e93c82cb553aa63d4091bace3) + - Advance Cargo CLI pins and align the uv pin with version 0.12.19. + - Upgrade actionlint-py, Ruff, Semgrep, and Ty development requirements. + - Refresh Cargo and Python locked dependencies while retaining the research-repo-tools 0.1.7 pin. +- Bump the github-actions group across 1 directory with 5 updates [#267](https://github.com/acgetchell/la-stack/pull/267) + [`6e5a1f0`](https://github.com/acgetchell/la-stack/commit/6e5a1f02297a683f837081464f9c6be881bdcb8d) + + Bumps the github-actions group with 5 updates in the / directory: + + | Package | From | To | + | --- | --- | --- | + | [actions-rust-lang/setup-rust-toolchain](https://github.com/actions-rust-lang/setup-rust-toolchain) | `1.17.0` | `2.0.0` | + | [github/codeql-action/upload-sarif](https://github.com/github/codeql-action) | `4.37.9` | `4.38.2` | + | [codecov/codecov-action](https://github.com/codecov/codecov-action) | `7.0.0` | `7.1.1` | + | [github/codeql-action/init](https://github.com/github/codeql-action) | `4.37.9` | `4.38.2` | + | [github/codeql-action/analyze](https://github.com/github/codeql-action) | `4.37.9` | `4.38.2` | + + Updates `actions-rust-lang/setup-rust-toolchain` from 1.17.0 to 2.0.0 + + - [Release notes](https://github.com/actions-rust-lang/setup-rust-toolchain/releases) + - [Changelog](https://github.com/actions-rust-lang/setup-rust-toolchain/blob/main/CHANGELOG.md) + - [Commits](https://github.com/actions-rust-lang/setup-rust-toolchain/compare/166cdcfd11aee3cb47222f9ddb555ce30ddb9659...ecabd13d1c56bd1345c230e542e9144811ad706f) + + Updates `github/codeql-action/upload-sarif` from 4.37.9 to 4.38.2 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/cdf488f595d80d6e07e03d4674febd5ab45fa938...2892aa5e19bbd11bc0cff5427e3b750a04d9e3c2) + + Updates `codecov/codecov-action` from 7.0.0 to 7.1.1 + - [Release notes](https://github.com/codecov/codecov-action/releases) + - [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/codecov/codecov-action/compare/fb8b3582c8e4def4969c97caa2f19720cb33a72f...303a32d7a59b442fa8d48b6a1cc6825c09c847a5) + + Updates `github/codeql-action/init` from 4.37.9 to 4.38.2 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/cdf488f595d80d6e07e03d4674febd5ab45fa938...2892aa5e19bbd11bc0cff5427e3b750a04d9e3c2) + + Updates `github/codeql-action/analyze` from 4.37.9 to 4.38.2 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/cdf488f595d80d6e07e03d4674febd5ab45fa938...2892aa5e19bbd11bc0cff5427e3b750a04d9e3c2) +- Bump acgetchell/research-repo-tools/.github/workflows/dependabot-approve.yml [#270](https://github.com/acgetchell/la-stack/pull/270) + [`1615b1b`](https://github.com/acgetchell/la-stack/commit/1615b1bcad80a209ced1116e81ffd545e26d85b3) + + Bumps the github-actions group with 1 update: + [acgetchell/research-repo-tools/.github/workflows/dependabot-approve.yml](https://github.com/acgetchell/research-repo-tools). + + Updates `acgetchell/research-repo-tools/.github/workflows/dependabot-approve.yml` from cbb2ea6dee8866b3f0547bca935aef48fdd71707 to + b972cbfd717319abaa68d9b1373711ad6f163294 + + - [Release notes](https://github.com/acgetchell/research-repo-tools/releases) + - [Changelog](https://github.com/acgetchell/research-repo-tools/blob/main/CHANGELOG.md) + - [Commits](https://github.com/acgetchell/research-repo-tools/compare/cbb2ea6dee8866b3f0547bca935aef48fdd71707...b972cbfd717319abaa68d9b1373711ad6f163294) +- Bump the github-actions group with 6 updates [#280](https://github.com/acgetchell/la-stack/pull/280) + [`d1f85bb`](https://github.com/acgetchell/la-stack/commit/d1f85bb606735d5213a2fa5bd2692e5685a9adc4) + + Bumps the github-actions group with 6 updates: + + | Package | From | To | + | --- | --- | --- | + | [github/codeql-action/upload-sarif](https://github.com/github/codeql-action) | `4.38.2` | `4.38.3` | + | [actions/upload-artifact](https://github.com/actions/upload-artifact) | `7.0.1` | `7.0.2` | + | [actions/download-artifact](https://github.com/actions/download-artifact) | `8.0.1` | `8.0.2` | + | [github/codeql-action/init](https://github.com/github/codeql-action) | `4.38.2` | `4.38.3` | + | [github/codeql-action/analyze](https://github.com/github/codeql-action) | `4.38.2` | `4.38.3` | + | [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) | `10.0.1` | `10.2.0` | + + Updates `github/codeql-action/upload-sarif` from 4.38.2 to 4.38.3 + + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/2892aa5e19bbd11bc0cff5427e3b750a04d9e3c2...24c54180a607b1449ed407dd24f251e4e9147c8d) + + Updates `actions/upload-artifact` from 7.0.1 to 7.0.2 + - [Release notes](https://github.com/actions/upload-artifact/releases) + - [Commits](https://github.com/actions/upload-artifact/compare/043fb46d1a93c77aae656e7c1c64a875d1fc6a0a...cf430e030ddbb5b0abf93d22962f4752f3646cd9) + + Updates `actions/download-artifact` from 8.0.1 to 8.0.2 + - [Release notes](https://github.com/actions/download-artifact/releases) + - [Commits](https://github.com/actions/download-artifact/compare/3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c...9000827ccba6bdab643e8b6fd33ac0654aef8333) + + Updates `github/codeql-action/init` from 4.38.2 to 4.38.3 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/2892aa5e19bbd11bc0cff5427e3b750a04d9e3c2...24c54180a607b1449ed407dd24f251e4e9147c8d) + + Updates `github/codeql-action/analyze` from 4.38.2 to 4.38.3 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/2892aa5e19bbd11bc0cff5427e3b750a04d9e3c2...24c54180a607b1449ed407dd24f251e4e9147c8d) + + Updates `astral-sh/setup-uv` from 10.0.1 to 10.2.0 + - [Release notes](https://github.com/astral-sh/setup-uv/releases) + - [Commits](https://github.com/astral-sh/setup-uv/compare/20cfd1bf945f4377ade1205e4dbc17946fc9a30d...c18668ad3cf93ea998bef934396af7bb5c839dc7) ### Documentation -- Strengthen LDLT symmetry precondition and add is_symmetric API - [`1693307`](https://github.com/acgetchell/la-stack/commit/1693307c58e30a804e9b79abc783af99be8dc947) +- Expose all configured workflow badges [`6933c15`](https://github.com/acgetchell/la-stack/commit/6933c15bb2abb1a53b994b6624128ff0b559e1cb) - LDLT factorization assumes the input matrix is symmetric, but the contract - was only implied by one sentence in the module and struct docs. Asymmetric - inputs silently produce mathematically meaningless factorizations in - release builds (the `debug_assert_symmetric` check is compiled out), and - callers had no supported way to validate symmetry up front. - -### Fixed - -- Propagate NaN in Matrix::inf_norm [#85](https://github.com/acgetchell/la-stack/pull/85) - [`16ffa45`](https://github.com/acgetchell/la-stack/commit/16ffa45ade11b21a179cad8fcecc51d802086a1d) -- Report infinite vs finite off-diagonal pairs as asymmetric [`1805779`](https://github.com/acgetchell/la-stack/commit/1805779dbca49183fbfa95c68ec00984966aa551) - - Update Matrix::first_asymmetry to flag any non-finite difference between - off-diagonal pairs as an asymmetry. This prevents cases where a single - infinite entry paired with a finite entry would incorrectly pass as - symmetric because the matrix's infinite norm blew the tolerance up to - infinity, making the comparison `diff > eps` return false. - -### Maintenance - -- Bump MSRV to Rust 1.95 and adopt new stable features [`0ab3c33`](https://github.com/acgetchell/la-stack/commit/0ab3c336074f2b866256fbe5db8a8ec5306d580a) - - - Bump rust-version to 1.95 in Cargo.toml - - Bump channel to 1.95.0 in rust-toolchain.toml - - Add core::hint::cold_path() hints at cold/error branches: - - src/exact.rs: validate_finite, validate_finite_vec, gauss_solve - singular return, det_exact_f64 / solve_exact_f64 overflow returns, - det_sign_exact Stage 2 Bareiss fallback - - src/lu.rs: Lu::factor and Lu::solve_vec NonFinite / Singular returns - - src/ldlt.rs: Ldlt::factor and Ldlt::solve_vec NonFinite / Singular - returns - - src/matrix.rs: det_direct D >= 5 fallback arm (legal because - cold_path is const fn in 1.95) and det NonFinite / overflow scan - - Refactor det_sign_exact Stage 1 fast filter to use match + if let - guard with let-chain, replacing the tuple destructure; semantics - unchanged - - Test results (local `just ci`): - - cargo fmt --all -- --check: clean - - cargo clippy --workspace --all-targets --all-features - -D warnings -W clippy::pedantic -W clippy::nursery -W clippy::cargo: - clean - - cargo test --features exact --lib: 258 passed, 0 failed - - cargo test --features exact (doctests + examples): 31 passed, 0 failed - - RUSTDOCFLAGS='-D warnings' cargo doc --no-deps --features exact: clean - - python tests: 101 passed - -### Performance + - Show CodeQL, zizmor, repository-rule analysis, coverage execution, + benchmark, release-benchmark, and Dependabot approval status in the README. + - Keep package metadata and workflow status in separate badge groups. +- Align release roadmap and benchmark descriptions [`fb25684`](https://github.com/acgetchell/la-stack/commit/fb25684ff06612977f1bb2ad86241bb5bfe4ee01) -- Integer-only forward elimination for gauss_solve [#72](https://github.com/acgetchell/la-stack/pull/72) - [`a1d3bdb`](https://github.com/acgetchell/la-stack/commit/a1d3bdbdb6fcb778a78a2a3d0cb66b79484e1472) + - Plan the stable-Rust v0.5.0 release sequence and conditional algebraic + floating-point adoption, with compatible follow-up work in v0.5.1. + - Defer expanded const generics until the required Generic Const Arguments + capabilities are stable. + - Clarify that research-repo-tools is a contributor development dependency. + - Describe dense benchmark controls as row-permuted while preserving + measured inputs and retained performance evidence. +- Record algebraic floating-point rejection [#281](https://github.com/acgetchell/la-stack/pull/281) + [`a275ddf`](https://github.com/acgetchell/la-stack/commit/a275ddffcd1669eaadc64756ed2bfae60ad879ec) - Replace BigRational-only gauss_solve with a hybrid that runs - Bareiss fraction-free forward elimination in BigInt on the - augmented (A | b) system, then back-substitutes in BigRational. - Eliminates GCD normalization from the O(D^3) phase while keeping - rational overhead limited to the cheaper O(D^2) back-sub. - - Scope f64_to_bigrational to cfg(test); production code paths now - use f64_decompose directly (shared with bareiss_det_int). - - Closes #72 - - Co-Authored-By: Oz - -## [0.4.0] - 2026-04-11 - -### Merged Pull Requests - -- Integer-only Bareiss determinant via BigInt [#64](https://github.com/acgetchell/la-stack/pull/64) -- Custom f64 → BigRational via IEEE 754 bit decomposition [#63](https://github.com/acgetchell/la-stack/pull/63) - -### Added - -- Add benchmark comparison tool and performance documentation - [`d448fc3`](https://github.com/acgetchell/la-stack/commit/d448fc3e3c884d6145580e5a40eb265bf1f83cb8) - - Introduce a Python script to compare Criterion results across baselines - and generate markdown reports. Integrate performance snapshots into the - release workflow and add justfile recipes for baseline management to - track exact arithmetic performance. - -### Changed - -- Update version to 0.3.0 and refine metadata keywords [`cc0e967`](https://github.com/acgetchell/la-stack/commit/cc0e967aedb4eabbcd98714b16ef67a8290c112e) - - Update CITATION.cff to reflect the v0.3.0 release. Keywords are updated to - include exact arithmetic and robust predicates, with existing terms - standardized to kebab-case. -- Refine benchmark comparison reporting and documentation [`e1b5955`](https://github.com/acgetchell/la-stack/commit/e1b5955fb5024232e34e9df9701bb24fb98efa15) - - Refactor the `bench_compare.py` script to group results by dimension and - add a new test suite. Consolidate all benchmarking workflows into a new - dedicated guide and move machine-specific performance snapshots to - `.gitignore`. -- Expand test coverage for benchmark comparison edge cases [`bced7d9`](https://github.com/acgetchell/la-stack/commit/bced7d988bd2f42cb6bb5af9c54dabdcf787a5fc) -- Update documentation and tests for integer-only Bareiss [`2ee3f05`](https://github.com/acgetchell/la-stack/commit/2ee3f05caecfdf1a23b61257a7465b3bb6d63614) - - Update architecture descriptions in AGENTS.md and REFERENCES.md to - reflect the move from BigRational to integer-only BigInt arithmetic. - Add unit tests for bareiss_det_int covering negative inputs and pivot - swapping. Refine gh CLI patterns for automated issue listing. -- Restrict benchmark baselines to main and improve reporting [`9a7caa2`](https://github.com/acgetchell/la-stack/commit/9a7caa241b5f476c2659772f3189468b10fcba2e) - - Update internal CI logic to ensure Criterion baselines are only saved - and uploaded for the main branch. Add error handling to regression - reporting to provide clear feedback when comparison data is missing. - -### Dependencies - -- Bump astral-sh/setup-uv from 7.3.1 to 7.5.0 [`0505061`](https://github.com/acgetchell/la-stack/commit/050506123b1da9bc79b04e7d8b44d8195d115199) -- Bump taiki-e/install-action from 2.68.25 to 2.68.31 [`dcff501`](https://github.com/acgetchell/la-stack/commit/dcff501354df2e6434fd6f817a7c15b86a40685f) -- Bump actions-rust-lang/setup-rust-toolchain [`4678d2e`](https://github.com/acgetchell/la-stack/commit/4678d2e8b121c3116d638b59b03eca95510888fe) -- Bump actions/cache from 5.0.3 to 5.0.4 [`633c6e2`](https://github.com/acgetchell/la-stack/commit/633c6e234dc4a94744fa433f41bceb84efe1c99c) -- Bump taiki-e/install-action from 2.68.34 to 2.69.6 [`89a306b`](https://github.com/acgetchell/la-stack/commit/89a306b64bf586ec201957953afac0a3d9c13eb7) -- Bump astral-sh/setup-uv from 7.5.0 to 7.6.0 [`676a6ff`](https://github.com/acgetchell/la-stack/commit/676a6ffe3df416ab316daa84119161893eeeadd0) -- Bump codecov/codecov-action from 5.5.2 to 5.5.3 [`2c15dc1`](https://github.com/acgetchell/la-stack/commit/2c15dc1a0c93f75dd23e0d540041bc01f2e3b71a) -- Bump the dependencies group with 2 updates [`23ade13`](https://github.com/acgetchell/la-stack/commit/23ade1343e575edead08ab49a4e361c9e37f5ca0) -- Bump taiki-e/install-action from 2.69.6 to 2.70.1 [`4073197`](https://github.com/acgetchell/la-stack/commit/40731976f465f69bacb0a6dc4b8520fb9bc9c8f4) -- Bump codecov/codecov-action from 5.5.3 to 6.0.0 [`b3e1380`](https://github.com/acgetchell/la-stack/commit/b3e1380e0b8df85478648036eeb1d9b2c79aaac5) -- Bump taiki-e/install-action from 2.70.1 to 2.73.0 [`7de720d`](https://github.com/acgetchell/la-stack/commit/7de720dfb8328d01843cfabd15d23086ee98832b) -- Bump astral-sh/setup-uv from 7.6.0 to 8.0.0 [`af40753`](https://github.com/acgetchell/la-stack/commit/af40753130fac56d48da7fce2f18b11dc391ebe6) + - Retain strict arithmetic after the norm reduction prototype hid required overflow errors despite local timing gains. + - Preserve the numerical counterexample, measurements, provenance, and reproducible experimental evidence. + - Map floating-point, certified, interval, and exact arithmetic contracts to validation evidence and record closure of the remaining prototype work. + - Update documentation navigation, release planning, and the reviewed README link inventory. ### Fixed -- Improve non-finite error reporting and coordinate accuracy [`d4b1452`](https://github.com/acgetchell/la-stack/commit/d4b14524a02b49a1a8e832818913ab875c4e5fe0) +- Preserve consumer command and release contracts [`cb8c471`](https://github.com/acgetchell/la-stack/commit/cb8c471511bf4f7f5f50cdfe3d7a0296e3357f14) - Refine error reporting by ensuring correct column indices in LDLT - decomposition and LU back-substitution. Add missing finiteness checks to - LU solve paths and update determinant calculations to provide specific - row/column coordinates for non-finite inputs. + - Forward preview options to the shared CLI and keep generated archives under + the dedicated changelog formatter and final link check. + - Accept valid included dependency groups while advancing only direct dev + pins, leaving the shared tooling dependency under its own upgrade policy. + - Keep declared release dates valid after a later merge and include canonical + changelog archives in the release staging guidance. +- Preserve zizmor failures and discard invalid SARIF [`477acf1`](https://github.com/acgetchell/la-stack/commit/477acf1882cbf49782c81f7a4ca732c171d5f9df) + + - Preserve the scanner exit status while checking its report before upload. + - Remove empty or malformed SARIF output so failed scans cannot publish + an unusable report; retain valid reports containing findings. +- [**breaking**] Adopt shared approvals and generated command help + [`fec147b`](https://github.com/acgetchell/la-stack/commit/fec147b5d9a385a609ff51720d790378e95fc786) + + - Replace owner-issued CodeRabbit requests with the pinned MCMC + Dependabot approval workflow and document the repository settings. + - Fail workflow security checks on findings before exporting SARIF. + - Generate sorted Just help and keep usage, contributor guidance, and + active documentation navigation with their respective owners. + - Replace duplicate process and zizmor implementations with the + published research-repo-tools APIs. +- Honor inline Semgrep suppressions in uploaded SARIF [`c314554`](https://github.com/acgetchell/la-stack/commit/c314554327bf1521473f2535af4f001f0c27fb24) + + - Remove in-source-suppressed results before GitHub code scanning + ingests the report so reviewed inline exceptions stay effective. + - Preserve unsuppressed findings, their metadata, and the scanner's + original exit status for the blocking security gate. +- Preserve fixture line endings on Windows [`f748db0`](https://github.com/acgetchell/la-stack/commit/f748db0dbc1683184d5e16ee5bd3c00ad07f87e3) + + - Declare LF and CRLF benchmark snapshot inputs explicitly instead of + inheriting the host's text-write behavior. + - Check exact worktree bytes and staged contents against the selected + line ending while preserving tracked-file and index guarantees. +- Require a working Semgrep wheel on Windows [`0e74cc3`](https://github.com/acgetchell/la-stack/commit/0e74cc3d267a3fc48a3c3893911deccc3afddd7c) + + - Restore Semgrep 1.178.0, whose Windows wheel includes semgrep-core.exe. + - Disable Semgrep source builds so missing platform wheels fail during + installation instead of leaving an unusable scanner in the environment. +- Restore Python checks with ty 0.0.85 [`0b97b4b`](https://github.com/acgetchell/la-stack/commit/0b97b4be8df4f87ab230be4f836b897e5499e9e8) + + Use Generator annotations for context managers and explicitly distinguish + absent optional values in performance tooling. Preserve empty baseline + names and retained-output mappings without suppressing diagnostics. +- Preserve subnormal vector angles on Windows [`7ee4bde`](https://github.com/acgetchell/la-stack/commit/7ee4bdee0855aa7381ba6ace17f847feb37fa3ce) + + - Use the direct exterior/dot ratio for sufficiently small positive angles, + with a documented arctangent approximation bound, avoiding platform atan2 + underflow observed by the Windows CI regression tests. + - Test the small-angle transition and normal/subnormal boundary across + dimensions 2 through 6, 8, and 64 without relaxing existing tiny-angle tests. + - Verify that exact-conversion error formatting propagates writer failures. + - Retain the defensive non-finite-result guard without artificial coverage + tests, exclusions, or coverage-threshold changes. + - Refresh all 80 benchmark records and retain the original measurements by + commit for a documented before/after comparison. + - Validate with just check, just coverage-ci (876 tests), and isolated just ci + (963 Rust tests, 502 Python tests, doctests, lints, benchmarks, and examples). +- Preserve explicit same-version local comparisons [`25cd362`](https://github.com/acgetchell/la-stack/commit/25cd362ea19e47e711d3e96c4997f64dc894bc8c) + + Keep the consumer-only local comparison exception while release promotion still requires distinct labels and sources remain independently identified. Cover + explicit selection and current-phase gate failure before either timing phase. +- Retain report test collection and release guidance [`deaecbc`](https://github.com/acgetchell/la-stack/commit/deaecbc81ba0acb575f73b4b93a0bdcdb3aba44b) + + Restore the peer-context test prefix and describe complete-run README inputs, staged retention files, and the supported changelog dependency-body policy. +- Harden shared performance publication and Windows fixtures [`0ef7b78`](https://github.com/acgetchell/la-stack/commit/0ef7b782b9f8fa4f65efc8a4e51797beab93b301) + + - Exclude unsupported norm cases from historical baseline inventories. + - Preserve prior reports on archive conflicts and reject ambiguous identities. + - Protect complete-run inputs during README publication and honor configured + archive locations and equivalent input paths. + - Keep immutable generated reports outside Markdown formatting and render + curated provenance with valid list structure. + - Compare command fixture directories by filesystem identity across Windows + and POSIX shells, and align the managed rumdl pin to 0.2.79. +- Preserve benchmark publication identity and diagnostics [`86a2cf8`](https://github.com/acgetchell/la-stack/commit/86a2cf82fec9f29a398cb6431f7f0d4aec23882e) + + - Keep README asset provenance tied to validated retained runs across + scratch cleanup while preserving input freshness checks. + - Reject non-canonical storage paths for release-report benchmarks. + - Handle Git execution failures through the plotting CLI diagnostic. + - Derive the minimum supported release diagnostic from the parsed policy. ### Maintenance -- Add performance regression detection for exact-arithmetic benchmarks - [`44bce99`](https://github.com/acgetchell/la-stack/commit/44bce99bcae8f852dbf7500e71fa182730e08bca) - - Add a GitHub Actions workflow that detects performance regressions in - the exact-arithmetic benchmark suite on PRs and pushes to main. - - - On push to main: run exact benchmarks, save Criterion baseline as - artifact (30-day retention) - - On PRs: find latest main baseline artifact, download, run benchmarks - with --baseline comparison, report regressions in job summary - - Regressions are warning-only — the workflow never blocks PRs - - Uses artifact-based baselines (not cache) for robustness: explicit - provenance, no silent eviction, fork-safe - - Validated locally: --save-baseline and --baseline flags confirmed - working with Criterion +- [**breaking**] Require Rust 1.99.0 [`78c289a`](https://github.com/acgetchell/la-stack/commit/78c289a913360422a6665219f6d5a3fcbebde0a2) + + - Align the library, comparison workspace, contributor toolchain, and Clippy + baseline with Rust 1.99.0 and LLVM 23. + - Resolve new lint diagnostics without changing strict floating-point, + exact-arithmetic, interval, or certified-error contracts. + - Record paired compiler measurements, code-generation findings, and retained + evidence as the strict-f64 baseline for future optimization work. + - Update uv, Semgrep, dprint, and locked Rust/Python dependencies. +- Publish reviewed GitHub releases to crates.io [#282](https://github.com/acgetchell/la-stack/pull/282) + [`51868ea`](https://github.com/acgetchell/la-stack/commit/51868ea4725c1a4790bba4c59341d2113b18b2bb) + +#### ci: publish reviewed GitHub releases to crates.io + +- Gate root-crate publication on immutable release identity, exact-commit + native checks, release notes, benchmark evidence, and deployment approval. +- Use short-lived OIDC credentials, serialize uploads, and verify registry + visibility without blindly retrying a potentially successful upload. +- Leave benchmark-equipped release drafts for maintainer review and document + the publishing setup, release sequence, and recovery procedure. +- Keep publishing action updates under manual review so their pins stay + aligned with the selected-actions policy. ### Performance -- Stack-backed storage for exact arithmetic kernels [`b64ac60`](https://github.com/acgetchell/la-stack/commit/b64ac60e286bcdc1c21334ab271e6ffacfadc187) - - Replace heap-allocated Vec<Vec<BigRational>> with stack-backed - [[BigRational; D]; D] arrays in bareiss_det and gauss_solve, and return - [BigRational; D] from gauss_solve directly — eliminating per-call heap - traffic and a redundant clone in solve_exact. - - Exact kernel changes (src/exact.rs): - - - bareiss_det: Vec<Vec<BigRational>> → [[BigRational; D]; D] via - std::array::from_fn - - gauss_solve: Vec<Vec<BigRational>> augmented matrix → separate - [[BigRational; D]; D] + [BigRational; D] (avoids unstable - const-generic [T; D+1]) - - gauss_solve return type: Vec<BigRational> → [BigRational; D] - - solve_exact: drop intermediate clone, forward array directly - - Error enrichment (src/lib.rs, src/lu.rs, src/ldlt.rs, src/matrix.rs, - src/exact.rs): - - LaError::NonFinite gains row: Option<usize> for full (row, col) - location on matrix inputs; None for vectors/intermediates - - LaError::Overflow becomes a struct variant with index: Option<usize> - to identify which solution component overflowed - - Display messages updated to show positional context -- Custom f64 → BigRational via IEEE 754 bit decomposition [#63](https://github.com/acgetchell/la-stack/pull/63) - [`0a8ce5b`](https://github.com/acgetchell/la-stack/commit/0a8ce5b45e21fa88e4e9832bc6ada38b3ba68eeb) - - Replace `BigRational::from_float(x)` in `f64_to_bigrational` with manual - IEEE 754 binary64 bit decomposition and `BigRational::new_raw`, bypassing - the unnecessary GCD normalization that `from_float` performs internally. - - - Decompose f64 into sign, biased exponent, and significand fields - - Strip trailing zeros from the significand so the fraction is already - in lowest terms (odd numerator over power-of-two denominator) - - Handle zero (±0.0), subnormals, and normal values; panic on NaN/Inf - - Add 15 dedicated unit tests: ±zero, integers, fractions, powers of - two, subnormals, round-trip fidelity, lowest-terms, and panic cases - - Add IEEE 754-2019 [9] and Goldberg [10] references to REFERENCES.md - - Add module-level and function-level doc citations -- Integer-only Bareiss determinant via BigInt [#64](https://github.com/acgetchell/la-stack/pull/64) - [`d422b25`](https://github.com/acgetchell/la-stack/commit/d422b251ca86a914522f80285964d4513bca1817) - - Replace the BigRational Bareiss determinant with a pure BigInt path: - all f64 entries are decomposed into mantissa × 2^exponent, scaled to - a common integer base, and eliminated without any rational arithmetic. - The result is reconstructed as BigRational only at the end. - - - Add f64_decompose helper (extracted from f64_to_bigrational) - - Add bareiss_det_int: integer-only Bareiss returning (BigInt, i32) - - Add bigint_exp_to_bigrational: reconstruction with trailing-zero - reduction (no full GCD needed) - - Refactor bareiss_det as thin wrapper over bareiss_det_int - - Optimize det_sign_exact to read sign from BigInt directly - (skip BigRational reconstruction entirely) - - Import std::array::from_fn for shorter call sites - - Replace clippy cast suppression with exact try_from conversions - - Update AGENTS.md with non-interactive gh CLI patterns - - 24 new tests (256 total): f64_decompose, bareiss_det_int (D=0–5, - fractional, all-zeros, sign), bigint_exp_to_bigrational (positive/ - negative exp, reduction, negative values) - - Performance (vs pre-bigint baseline on Apple M4 Max): - det_exact: 16x (D=2) → 39x (D=5) faster - det_exact_f64: 10x (D=2) → 38x (D=5) faster - det_sign_exact: 40x at D=5 (bypasses BigRational entirely) - Near-singular: 18x faster +- Reduce interval and certified reduction overhead [`dd909a7`](https://github.com/acgetchell/la-stack/commit/dd909a7ee9e8c7471211c88a2139c98895486305) + + - Reuse singleton interval arithmetic, select only needed sum endpoints, + and size determinant workspaces to the compile-time dimension. + - Use exact FMA residuals above the proved underflow threshold while + preserving integer product comparison for smaller products. + - Compact scalar certificates and reduce magnitude-accumulation overhead + while preserving ordered estimates, finite endpoints, and signed zero. + - Certify single normal unit products with zero error, including MAX. + - Retain reproducible upstream and downstream performance evidence, + adoption patches, rejected candidates, and measured tradeoffs. +- Accelerate triangular rational solves [`5921577`](https://github.com/acgetchell/la-stack/commit/5921577b94410c24a7565d530755c284cb2f6f89) + + - Recognize upper and lower triangular systems through row permutations + and solve by exact substitution with one reduction per component. + - Preserve the general Bareiss path, canonical rational inputs, and typed + singularity diagnostics without changing the public API. + - Add permanent structured benchmarks and retain Rust 1.99 measurements: + 11.15x faster prepared solves and 4.26x faster full adapters at D=8 + on the reproduced triangular family. + - Refresh the staged cc, syn, uv, Ruff, and Ty dependency/tooling pins. + - Validation: just ci passes, including 1,002 Rust tests, 371 Python + tests, doctests, examples, and benchmark compilation. ## Archives Older releases are archived by minor series: +- [0.4.x](docs/archives/changelog/0.4.md) - [0.3.x](docs/archives/changelog/0.3.md) - [0.2.x](docs/archives/changelog/0.2.md) - [0.1.x](docs/archives/changelog/0.1.md) -[Unreleased]: https://github.com/acgetchell/la-stack/compare/v0.4.6...HEAD -[0.4.6]: https://github.com/acgetchell/la-stack/compare/v0.4.5...v0.4.6 -[0.4.5]: https://github.com/acgetchell/la-stack/compare/v0.4.4...v0.4.5 -[0.4.4]: https://github.com/acgetchell/la-stack/compare/v0.4.3...v0.4.4 -[0.4.3]: https://github.com/acgetchell/la-stack/compare/v0.4.2...v0.4.3 -[0.4.2]: https://github.com/acgetchell/la-stack/compare/v0.4.1...v0.4.2 -[0.4.1]: https://github.com/acgetchell/la-stack/compare/v0.4.0...v0.4.1 -[0.4.0]: https://github.com/acgetchell/la-stack/compare/v0.3.0...v0.4.0 +[0.5.0]: https://github.com/acgetchell/la-stack/compare/v0.4.6...v0.5.0 diff --git a/CITATION.cff b/CITATION.cff index b707a4e..a15f8c5 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -2,8 +2,8 @@ cff-version: 1.2.0 message: "If you use this software, please cite it as below." type: software title: "la-stack: Fast, stack-allocated linear algebra for fixed dimensions in Rust" -version: 0.4.6 -date-released: 2026-09-08 +version: 0.5.0 +date-released: 2026-10-17 url: "https://github.com/acgetchell/la-stack" repository-code: "https://github.com/acgetchell/la-stack" doi: "10.5281/zenodo.18158926" diff --git a/Cargo.lock b/Cargo.lock index c521d21..cce311a 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -722,7 +722,7 @@ dependencies = [ [[package]] name = "la-stack" -version = "0.4.6" +version = "0.5.0" dependencies = [ "allocation-counter", "approx", diff --git a/Cargo.toml b/Cargo.toml index 91a7845..15f3e44 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -1,6 +1,6 @@ [package] name = "la-stack" -version = "0.4.6" +version = "0.5.0" edition = "2024" rust-version = "1.99.0" autobenches = false diff --git a/README.md b/README.md index 927bcab..7ae9eea 100644 --- a/README.md +++ b/README.md @@ -101,7 +101,7 @@ Add this to your `Cargo.toml`: ```toml [dependencies] -la-stack = "0.4.6" +la-stack = "0.5.0" ``` ### Solve a 5×5 system @@ -259,7 +259,7 @@ Enable exact determinant signs, determinant values, and solves: ```toml [dependencies] -la-stack = { version = "0.4.6", features = ["exact"] } +la-stack = { version = "0.5.0", features = ["exact"] } ``` `Matrix` / `Vector` exact methods preserve stored `f64` values; @@ -442,14 +442,14 @@ cargo run --example solve_5x5 ![LU solve (factor + solve): median time vs dimension][lu-solve-benchmark] Raw data: -[docs/assets/bench/vs_linalg_lu_solve_median.csv](https://github.com/acgetchell/la-stack/blob/v0.4.6/docs/assets/bench/vs_linalg_lu_solve_median.csv) +[docs/assets/bench/vs_linalg_lu_solve_median.csv](https://github.com/acgetchell/la-stack/blob/v0.5.0/docs/assets/bench/vs_linalg_lu_solve_median.csv) Measurement provenance: [docs/assets/bench/vs_linalg_lu_solve_median.provenance.json][benchmark-provenance] Representative benchmark: `lu_solve` factors the matrix and solves one -right-hand side. Median time is lower-is-better, and the “la-stack vs -nalgebra/faer” columns show the % time reduction relative to each baseline -(positive means the recorded la-stack median is lower). These are descriptive +right-hand side. Median time is lower-is-better, and the “Speedup vs +nalgebra/faer” columns divide each peer's median by the la-stack median +(above 1× means the recorded la-stack median is lower). These are descriptive point-estimate ratios, not statistical significance claims or an aggregate score across operations. @@ -486,16 +486,31 @@ expectations are validated outside the timed closures. -| D | la-stack median (ns) | nalgebra median (ns) | faer median (ns) | reduction vs nalgebra (point est.) | reduction vs faer (point est.) | -|---:|--------------------:|--------------------:|----------------:|---------------------:|----------------:| -| 2 | 2.021 | 4.479 | 182.532 | +54.9% | +98.9% | -| 3 | 9.977 | 22.795 | 217.567 | +56.2% | +95.4% | -| 4 | 22.101 | 51.739 | 241.525 | +57.3% | +90.8% | -| 5 | 46.070 | 69.003 | 326.848 | +33.2% | +85.9% | -| 8 | 128.364 | 165.933 | 401.400 | +22.6% | +68.0% | -| 16 | 643.532 | 569.446 | 903.140 | -13.0% | +28.7% | -| 32 | 2,755.773 | 2,710.235 | 2,919.290 | -1.7% | +5.6% | -| 64 | 17,518.634 | 14,313.979 | 12,108.783 | -22.4% | -44.7% | +Run: `634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5`. Statistic: median. Unit: ns. + +- la-stack (v0.5.0): current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb. +- nalgebra (0.35.0): baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1. +- faer (0.24.4): baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1. + +| Dimension | la-stack | nalgebra | faer | Speedup vs nalgebra | Speedup vs faer | +| --- | --- | --- | --- | --- | --- | +| 2 | 2.10359
[2.08908, 2.11912] | 4.53894
[4.53141, 4.54661] | 154.45
[153.658, 155.846] | 2.15771× | 73.4219× | +| 3 | 9.93879
[9.92881, 9.95117] | 32.9342
[32.8554, 33.057] | 191.85
[191.206, 192.814] | 3.3137× | 19.3032× | +| 4 | 21.7341
[21.7035, 21.776] | 55.0106
[54.9217, 55.0615] | 221.887
[221.678, 222.673] | 2.53107× | 10.2091× | +| 5 | 49.1031
[49.0318, 49.1659] | 74.629
[74.3476, 74.9906] | 272.864
[272.009, 273.512] | 1.51984× | 5.55695× | +| 8 | 133.665
[133.426, 133.861] | 166.317
[166.02, 166.604] | 374.912
[372.746, 376.096] | 1.24429× | 2.80487× | +| 16 | 750.027
[649.969, 761.453] | 589.011
[586.474, 592.341] | 938.943
[932.02, 944.127] | 0.78532× | 1.25188× | +| 32 | 2829.62
[2819.66, 2837.22] | 2722.74
[2720.98, 2729.21] | 3023.87
[3017.73, 3030.19] | 0.962229× | 1.06865× | +| 64 | 18280.4
[18138, 18489.9] | 13835.1
[13822.9, 13852.2] | 12678.8
[12660.2, 12699.3] | 0.756828× | 0.693573× | + +Median time in ns; brackets show the lower and upper bounds of the **95% confidence interval**. +Speedups are ratios of point estimates; no ratio intervals or significance claims are inferred. + +Selection coverage: + +- la-stack (v0.5.0): 8 selected; 0 unavailable rows; 437 phase cases omitted. Complete evidence is retained independently. +- nalgebra (0.35.0): 8 selected; 0 unavailable rows; 789 phase cases omitted. Complete evidence is retained independently. +- faer (0.24.4): 8 selected; 0 unavailable rows; 789 phase cases omitted. Complete evidence is retained independently. @@ -533,7 +548,7 @@ BSD 3-Clause License. See [LICENSE](https://github.com/acgetchell/la-stack/blob/ [audit-badge]: https://github.com/acgetchell/la-stack/actions/workflows/audit.yml/badge.svg [audit-workflow]: https://github.com/acgetchell/la-stack/actions/workflows/audit.yml -[benchmark-provenance]: https://github.com/acgetchell/la-stack/blob/v0.4.6/docs/assets/bench/vs_linalg_lu_solve_median.provenance.json +[benchmark-provenance]: https://github.com/acgetchell/la-stack/blob/v0.5.0/docs/assets/bench/vs_linalg_lu_solve_median.provenance.json [benchmarks-badge]: https://github.com/acgetchell/la-stack/actions/workflows/benchmarks.yml/badge.svg [benchmarks-workflow]: https://github.com/acgetchell/la-stack/actions/workflows/benchmarks.yml [clippy-badge]: https://github.com/acgetchell/la-stack/actions/workflows/rust-clippy.yml/badge.svg @@ -544,7 +559,7 @@ BSD 3-Clause License. See [LICENSE](https://github.com/acgetchell/la-stack/blob/ [coverage-workflow]: https://github.com/acgetchell/la-stack/actions/workflows/codecov.yml [dependabot-badge]: https://github.com/acgetchell/la-stack/actions/workflows/dependabot-auto-merge.yml/badge.svg [dependabot-workflow]: https://github.com/acgetchell/la-stack/actions/workflows/dependabot-auto-merge.yml -[lu-solve-benchmark]: https://raw.githubusercontent.com/acgetchell/la-stack/v0.4.6/docs/assets/bench/vs_linalg_lu_solve_median.svg +[lu-solve-benchmark]: https://raw.githubusercontent.com/acgetchell/la-stack/v0.5.0/docs/assets/bench/vs_linalg_lu_solve_median.svg [refs-det-bound]: https://github.com/acgetchell/la-stack/blob/main/REFERENCES.md#absolute-error-bound-for-closed-form-determinants [refs-exact-sign]: https://github.com/acgetchell/la-stack/blob/main/REFERENCES.md#exact-determinant-sign-adaptive-precision-integer-arithmetic [refs-exact-solve]: https://github.com/acgetchell/la-stack/blob/main/REFERENCES.md#exact-linear-system-solve-hybrid-bareiss--bigrational diff --git a/SECURITY.md b/SECURITY.md index b0f4dd3..8bb68ef 100644 --- a/SECURITY.md +++ b/SECURITY.md @@ -121,9 +121,19 @@ assignment in that file. Other assignments and paths remain checked. Semgrep 1.180.0 accepts `pyjwt[crypto]>=2.15.0,<3`, so the older security override is retired. `tooling/semgrep/uv.lock` retains patched PyJWT 2.15.1 and its crypto dependencies. Validate native Semgrep scans when changing the scanner or lock. -`just audit` includes both Python lockfiles, and Dependabot monitors both -environments. The isolated scanner remains on Python 3.14 while its wheels -exclude Python 3.15; support scripts run on Python 3.15. + +Semgrep 1.180.0 pins MCP 1.29.0, which is affected by +[GHSA-84m7-p3x7-pcfv](https://github.com/advisories/GHSA-84m7-p3x7-pcfv). +The isolated environment overrides that pin with `mcp>=1.30.0,<2`, retaining +the patched 1.x API. Remove the override when a released Semgrep dependency +accepts a patched MCP version. The root support environment has no MCP dependency. + +`just audit` includes both Python lockfiles, and Dependabot is configured for both +environments. Its [root graph job](https://github.com/acgetchell/la-stack/actions/runs/38871146224) +currently rejects Python 3.15, so the root dependency alerts can be stale; use +`just audit` to check the current inventory until upstream supports Python 3.15. +The isolated scanner remains on Python 3.14 while its wheels exclude Python 3.15; +support scripts run on Python 3.15. ### Numerical logging false positives @@ -141,7 +151,7 @@ Review new alerts on their own data flow. ### Benchmark dependency maintenance -As of October 1, 2026, `paste` 1.0.15 enters through the development dependency +As of October 16, 2026, `paste` 1.0.15 enters through the development dependency `faer` 0.24.4, via `gemm` 0.19.0 and `pulp` 0.22.3. Those are the latest published upstream versions checked on that date. Repository-owned Rust code already uses `pastey`; changing that direct dependency cannot replace upstream diff --git a/docs/BENCHMARKING.md b/docs/BENCHMARKING.md index 1e0a4b8..f06e4d2 100644 --- a/docs/BENCHMARKING.md +++ b/docs/BENCHMARKING.md @@ -325,6 +325,9 @@ source and harness inventories/digests, dependency resolution, complete peer coverage, and recorded phase provenance before writing. The derived sidecar records the run identity and the actual current/baseline origins of each series. Historical CSV/JSON evidence remains frozen with its original provenance. +The README table shows median times in nanoseconds, with lower and upper 95% +confidence bounds below each timing. Its compact comparison columns show +speedup ratios; the confidence level is stated once in the table legend. Missing, stale, or inconsistent input aborts publication atomically. An existing local release tag must contain the exact selected asset bytes. A future release tag may be absent during release preparation. @@ -353,6 +356,12 @@ from `Cargo.toml` and discovers the previous stable published release. During release preparation, passing both tags explicitly removes ambiguity. This command uses the shared common-harness engine in isolated worktrees. +The native driver resolves `CRITERION_HOME` from each checkout root before +Cargo launches the benchmarks, keeping comparison-member and root-package +measurements in one output tree. +Each timing command has a four-hour timeout because `baseline-all` combines both +full suites. This accommodates the combined 150-minute comparison and 90-minute +exact-suite budgets described under [Hosted Release Runtime Budget](#hosted-release-runtime-budget). The native Criterion inventory declares every expected semantic ID, including diagnostics outside the selected report. Each case requires 100 raw samples, both mean and median estimates, and complete 95% intervals in nanoseconds. diff --git a/docs/RELEASING.md b/docs/RELEASING.md index 4949a35..b47e324 100644 --- a/docs/RELEASING.md +++ b/docs/RELEASING.md @@ -15,9 +15,11 @@ release process does not require a temporary local tag. Release recipes are content-idempotent where their inputs permit it. Repeating `update-version` on the same UTC date or repeating `performance-readme` for the -same retained bundle produces no file changes. Crossing UTC midnight -intentionally advances the release date, and repeated `performance-release` -runs can produce different measurements. +same retained bundle produces no file changes. Rerunning `update-version` on a +later UTC date intentionally advances the declared release date. Crossing +midnight alone requires no update: the `declared` date policy allows preparation +and tagging on different UTC days when citation and changelog dates agree. +Repeated `performance-release` runs can produce different measurements. ## Prepare the environment @@ -80,8 +82,10 @@ just update-version "$TAG" The recipe requires a stable `vX.Y.Z` target that is not older than any published stable GitHub release and that has at least one earlier published stable release. It infers the previous release from GitHub and updates the Rust -and Python package metadata and lockfiles, `CITATION.cff`, and README dependency -metadata. Active navigation stays on `main`; measured artifact links retain their +package metadata and `Cargo.lock`, `CITATION.cff`, and README dependency metadata. +The dependency-only Python environment retains its own project and lockfile +version independently of the Rust release. +Active navigation stays on `main`; measured artifact links retain their recorded revision. `date-released` uses the current UTC date; if the target changelog section already exists, its date is updated in the same transaction. `CITATION.cff` retains the Zenodo all-versions @@ -101,9 +105,10 @@ just changelog-unreleased "$TAG" "$RELEASE_DATE" This generates `CHANGELOG.md` as though the target tag already existed, archives completed minor series under `docs/archives/changelog/`, and uses the explicit ISO release date. Verify that `RELEASE_DATE` equals the date recorded in -`CITATION.cff` by metadata preparation; if preparation crossed UTC midnight, -rerun `just update-version "$TAG"` first. Generation preserves existing release -dates and does not update package or citation metadata. +`CITATION.cff` by metadata preparation. If preparation crossed UTC midnight, +either reuse that declared date or deliberately advance it by rerunning +`just update-version "$TAG"` first. Generation preserves existing release dates +and does not update package or citation metadata. Use `just changelog-preview --tag "$TAG" --date "$RELEASE_DATE"` for a read-only preview, and `just changelog-check` to validate the root and every archive. Review the generated changelog and any archive changes. The @@ -111,6 +116,17 @@ Review the generated changelog and any archive changes. The the supported `dependency-bodies = "preserve"` policy in `pyproject.toml`, which preserves authored dependency-note links, text, and code without a local template. +If generation reports `conflicting retained release`, compare the regenerated +section with the retained archive and its original tagged commit history. Both +versions already pass through the same formatter before comparison, so this +error can indicate a content-policy change rather than whitespace differences. +For example, adopting `dependency-bodies = "preserve"` can restore original +Dependabot release-note and comparison links omitted by an older template. +Generate an archive candidate in a disposable directory with the published CLI, +review the policy migration, and replace only the affected generated archive. +Preserve release dates, commit identities, and authored notes, then rerun the +original command and `just changelog-check`. + ### 4. Generate the release performance comparison Run this after the package version has been updated: @@ -142,6 +158,10 @@ This consumes the complete-run payload and evidence envelope retained by updates the table and tag-pinned benchmark links in `README.md` with the CSV, SVG, and provenance JSON under `docs/assets/bench/`. Until it succeeds, those README links continue to reference the previous published artifacts. +After regeneration, the new tag-pinned image and data links become available +when the release tag is pushed. Before then, preview the SVG directly from +`docs/assets/bench/`; a failed image load in the README does not imply that +generation failed. If scratch inputs were cleaned, it uses the validated `docs/performance-runs/latest.json` run. Existing partial or corrupt scratch inputs remain errors and never trigger a fallback. @@ -184,7 +204,7 @@ git --no-pager diff --cached git commit -m "chore(release): release $TAG - Bump version to $TAG -- Update citation and utility package metadata +- Update citation and README release metadata - Generate the release changelog - Update benchmark and performance artifacts - Update release documentation" diff --git a/docs/archives/changelog/0.2.md b/docs/archives/changelog/0.2.md index 202f02c..a91e56c 100644 --- a/docs/archives/changelog/0.2.md +++ b/docs/archives/changelog/0.2.md @@ -19,8 +19,19 @@ ### Dependencies - Bump actions/setup-node from 6.2.0 to 6.3.0 [`0f2fc34`](https://github.com/acgetchell/la-stack/commit/0f2fc348b06d72476610821c77945c265207ad05) + + Bumps [actions/setup-node](https://github.com/actions/setup-node) from 6.2.0 to 6.3.0. + + - [Release notes](https://github.com/actions/setup-node/releases) + - [Commits](https://github.com/actions/setup-node/compare/6044e13b5dc448c55e2357c09f80417699197238...53b83947a5a98c8d113130e565377fae1a50d02f) - Bump taiki-e/install-action from 2.68.20 to 2.68.22 [`c3e49bd`](https://github.com/acgetchell/la-stack/commit/c3e49bdd75e3ca26117942da243dac1ee59eb7a1) + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.68.20 to 2.68.22. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/4a136ceac97fe29b942ff3b6c749a46c7950d853...5faf876256ccfc7ba64a4f87314c3457cc374b98) + ## [0.2.1] - 2026-03-08 ### ⚠️ Breaking Changes diff --git a/docs/archives/changelog/0.4.md b/docs/archives/changelog/0.4.md new file mode 100644 index 0000000..2b73101 --- /dev/null +++ b/docs/archives/changelog/0.4.md @@ -0,0 +1,1535 @@ +# Changelog - 0.4.x + +## [0.4.6] - 2026-09-08 + +### ⚠️ Breaking Changes + +- Matrix::solve_exact now returns RationalVector<D> instead of [BigRational; D]. Use as_array() or into_array() when raw storage is required. +- rename Vector::norm2() to Vector::norm(), Vector::norm2_sq() to Vector::norm_squared(), and Matrix::inf_norm() + to Matrix::norm_inf(). No compatibility aliases are provided. +- la-stack now requires Rust 1.98.1. +- New release performance comparisons require v0.4.4 or newer on both sides. Direct Cargo invocations of vs_linalg must select + -p la-stack-comparison; the just recipes handle this automatically. + +### Merged Pull Requests + +- Bump the github-actions group with 4 updates [#240](https://github.com/acgetchell/la-stack/pull/240) +- Bump the github-actions group with 3 updates [#223](https://github.com/acgetchell/la-stack/pull/223) +- Bump the github-actions group with 4 updates [#221](https://github.com/acgetchell/la-stack/pull/221) + +### Added + +- Accept rational matrix inputs [`703746e`](https://github.com/acgetchell/la-stack/commit/703746e576bf15cca6a4c1e259292b4334946409) + + - add fixed-size rational matrix and vector types with exact determinant signs, determinant values, and solves + - provide stable runtime dispatch through D=8 with explicit exact-to-f64 conversion + - preserve typed diagnostics while reusing row-cleared Bareiss elimination + - add release-tracked Criterion comparisons against BigRational Gaussian elimination + - document the two-domain scalar model and the f64 precision boundary +- Add certified determinant sign enclosures [`cd94ebb`](https://github.com/acgetchell/la-stack/commit/cd94ebbbfecccc1fc79887eec39f1e2b8a3fc56a) + + - Add outward-rounded interval arithmetic with typed range and input errors. + - Certify determinant signs through D=7 with explicit inconclusive results. + - Provide runtime dimension dispatch, documentation, and benchmark coverage. + - Refresh pinned Python development tools and transitive dependencies. +- Add certified dot and affine error bounds [`973e662`](https://github.com/acgetchell/la-stack/commit/973e662bfa1bb85631f6826034f128b181a326c4) + + - Add proof-bearing scalar certificates for dot products and unrounded axis · (left - right) reductions. + - Expose outward bounds for sign and threshold filtering, with inconclusive results when proof conditions fail. + - Document and benchmark the deterministic FMA error model. +- Add overflow-safe Euclidean norms [`f1f7b11`](https://github.com/acgetchell/la-stack/commit/f1f7b11d873db9c70c7db9920ee36efa7b4ed801) + + - Add allocation-free Vector::norm2 with scaled accumulation for large and subnormal finite coordinates. + - Resolve upper-range rounding with exact stack-based square sums, preventing false or hidden overflow without the exact feature. + - Report VectorNorm-tagged NonFinite errors only when the exact norm rounds to infinity; preserve norm2_sq's distinct range contract. + - Avoid redundant first-coordinate arithmetic and share binary64 rounding primitives across vector and interval operations. + - Document approximation limits and add peer-crate norm benchmarks plus scenario comparisons with hypot and Delaunay reference kernels. +- Add const-generic Gram matrix construction [`a62e72a`](https://github.com/acgetchell/la-stack/commit/a62e72a0468ea13c7c5e851dbf195123d5bb0d38) + + - Add allocation-free, const-evaluable `gram_matrix` with independent vector count and dimension + - Preserve bitwise symmetry and typed dot-product overflow diagnostics + - Document geometric uses, conditioning, and floating-point limitations + - Add benchmarks for square and rectangular vector collections + - Simplify exact rational scaling using canonical positive denominators + - Deduplicate factorization property-test fixtures and assertions + +### Changed + +- Assert legacy artifact fixture uses schema 2 [`4524f86`](https://github.com/acgetchell/la-stack/commit/4524f86cbdcb69cdd73e1299520c2ac36a145f02) +- Cover enclosure and range-exhaustion boundaries [`c2437b8`](https://github.com/acgetchell/la-stack/commit/c2437b80fabe6f549111512c9fce2499d4d67346) + + - Exercise binade-boundary multiplication and selected-extrema overflow cases. + - Cover determinant accumulation failures, square/addition exhaustion, and matrix access bounds. + - Clarify that lifting an already-rounded matrix encloses only its stored values. +- [**breaking**] Standardize vector and matrix norm names [`ab483d4`](https://github.com/acgetchell/la-stack/commit/ab483d4c4cb96b2d3f2ba0be38e96f5820b0de91) + + - Distinguish Euclidean norm from squared norm with clearer vector APIs. + - Use norm_inf for the matrix maximum absolute row sum. + - Preserve numerical behavior and typed error contracts. + - Retain historical benchmark IDs and adapters for older releases. + - Document the v0.4.6 migration and clarify norm definitions. + +### Dependencies + +- Bump the github-actions group with 4 updates [#221](https://github.com/acgetchell/la-stack/pull/221) + [`fa501a8`](https://github.com/acgetchell/la-stack/commit/fa501a8d3ae068783f5e83f773ef979a843f14fb) + + Bumps the github-actions group with 4 updates: [github/codeql-action/upload-sarif](https://github.com/github/codeql-action), + [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv), [github/codeql-action/init](https://github.com/github/codeql-action) and + [github/codeql-action/analyze](https://github.com/github/codeql-action). + + Updates `github/codeql-action/upload-sarif` from 4.37.6 to 4.37.7 + + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/5595ccaf912efad79be6eef63a5619ff05969be3...ff2f1c621b7f889edc0d3c761ac2e6a3f8cdb0dd) + + Updates `astral-sh/setup-uv` from 9.0.0 to 10.0.1 + - [Release notes](https://github.com/astral-sh/setup-uv/releases) + - [Commits](https://github.com/astral-sh/setup-uv/compare/c771a70e6277c0a99b617c7a806ffedaca235ff9...20cfd1bf945f4377ade1205e4dbc17946fc9a30d) + + Updates `github/codeql-action/init` from 4.37.6 to 4.37.7 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/5595ccaf912efad79be6eef63a5619ff05969be3...ff2f1c621b7f889edc0d3c761ac2e6a3f8cdb0dd) + + Updates `github/codeql-action/analyze` from 4.37.6 to 4.37.7 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/5595ccaf912efad79be6eef63a5619ff05969be3...ff2f1c621b7f889edc0d3c761ac2e6a3f8cdb0dd) +- Bump the github-actions group with 3 updates [#223](https://github.com/acgetchell/la-stack/pull/223) + [`c0d7c93`](https://github.com/acgetchell/la-stack/commit/c0d7c932c81267dbd780f6b3706f16341f1410c8) + + Bumps the github-actions group with 3 updates: [github/codeql-action/upload-sarif](https://github.com/github/codeql-action), + [github/codeql-action/init](https://github.com/github/codeql-action) and [github/codeql-action/analyze](https://github.com/github/codeql-action). + + Updates `github/codeql-action/upload-sarif` from 4.37.7 to 4.37.8 + + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/ff2f1c621b7f889edc0d3c761ac2e6a3f8cdb0dd...db488ddef3bf6cb639b32c2e9a7c0a7ea8271d28) + + Updates `github/codeql-action/init` from 4.37.7 to 4.37.8 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/ff2f1c621b7f889edc0d3c761ac2e6a3f8cdb0dd...db488ddef3bf6cb639b32c2e9a7c0a7ea8271d28) + + Updates `github/codeql-action/analyze` from 4.37.7 to 4.37.8 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/ff2f1c621b7f889edc0d3c761ac2e6a3f8cdb0dd...db488ddef3bf6cb639b32c2e9a7c0a7ea8271d28) +- Bump the github-actions group with 4 updates [#240](https://github.com/acgetchell/la-stack/pull/240) + [`98e322c`](https://github.com/acgetchell/la-stack/commit/98e322c4e32081177c8d4c11aa7aaf7e23a77b4e) + + Bumps the github-actions group with 4 updates: [github/codeql-action/upload-sarif](https://github.com/github/codeql-action), + [github/codeql-action/init](https://github.com/github/codeql-action), [github/codeql-action/analyze](https://github.com/github/codeql-action) and + [zizmorcore/zizmor-action](https://github.com/zizmorcore/zizmor-action). + + Updates `github/codeql-action/upload-sarif` from 4.37.8 to 4.37.9 + + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/db488ddef3bf6cb639b32c2e9a7c0a7ea8271d28...cdf488f595d80d6e07e03d4674febd5ab45fa938) + + Updates `github/codeql-action/init` from 4.37.8 to 4.37.9 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/db488ddef3bf6cb639b32c2e9a7c0a7ea8271d28...cdf488f595d80d6e07e03d4674febd5ab45fa938) + + Updates `github/codeql-action/analyze` from 4.37.8 to 4.37.9 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/db488ddef3bf6cb639b32c2e9a7c0a7ea8271d28...cdf488f595d80d6e07e03d4674febd5ab45fa938) + + Updates `zizmorcore/zizmor-action` from 0.6.2 to 0.6.3 + - [Release notes](https://github.com/zizmorcore/zizmor-action/releases) + - [Commits](https://github.com/zizmorcore/zizmor-action/compare/3dc1ecc9bcb9e94e9b2c709687979e1298497054...70fb788f84895a7701f5643d103d587e460b5c99) + +### Fixed + +- Advance exact Python dev pins with just update [`3616ae9`](https://github.com/acgetchell/la-stack/commit/3616ae97245952b4afd3247fca06cb5db9d3e6e0) + + - Resolve direct development tools as one compatible cross-platform set. + - Preserve runtime and build-system dependency requirements. + - Refresh Ruff, Semgrep, Ty, and their compatible transitive dependencies. +- Enforce the f64 algebraic-operation ban [`753179c`](https://github.com/acgetchell/la-stack/commit/753179c001ce750195b85bf7bc680cca0558eb34) + + - Reject algebraic f64 calls and function items across repository-owned Rust while preserving ordinary operators and `mul_add`. + - Document the numerical contract, MSRV, release-pinned references, and native BLAS alternatives. + - Refresh contributor tool pins and adapt subprocess encoding to Ty 0.0.74. +- Detect qualified f64 algebraic operations [`31021f1`](https://github.com/acgetchell/la-stack/commit/31021f1322a9c443fa4df63e632e8038600b2461) + + - Reject `::algebraic_*` calls and function items. + - Preserve qualified FMA calls and function items as allowed. +- Make just update reconcile all managed tools [`b1ca30a`](https://github.com/acgetchell/la-stack/commit/b1ca30a3f3977d3504b9383aff3907ce73f5a72a) + + - Preflight update prerequisites before modifying dependency or lock state. + - Update Cargo and Python dependencies while preserving coupled exact-arithmetic requirements. + - Upgrade setup-owned Cargo tools and atomically reconcile their pins with the active uv version. + - Keep actionlint and zizmor compatible for local composite-action references. +- Validate uv before repository updates [`37a17ed`](https://github.com/acgetchell/la-stack/commit/37a17edc82488ff0f04ec5775fe1eb13760b0468) + + - Require the active uv to report a stable X.Y.Z version before dependency or Cargo tool changes. + - Preserve pin reconciliation for newer stable uv installations. +- Reject ambiguous uv output before repository updates [`6bb2412`](https://github.com/acgetchell/la-stack/commit/6bb24127cca69f5029346b63fa9bb330381ae9c7) + + - Validate uv output with the reconciler's single-stable-version parser before dependency or tool mutations. + - Accept newer stable uv releases while rejecting ambiguous, missing, prerelease, and embedded versions. + - Refresh managed tool pins and the Semgrep development dependency. +- Make Python automation portable on Windows [`2370cbf`](https://github.com/acgetchell/la-stack/commit/2370cbf819f893ca598f83394330a5936fd10c6b) + + - Bind uv version validation to the exact launcher selected by update recipes + - Preserve byte-exact Git input and explicit text newline policies + - Guard repository scripts against platform-dependent subprocess and file I/O +- Enforce complete Python type annotations [`b2be4e7`](https://github.com/acgetchell/la-stack/commit/b2be4e73c19d0566efd9d7854e325375287c5e83) + + - Enable missing-annotation checks for function parameters and methods + - Format and type-check repository-owned Python fixtures alongside scripts + - Preserve intentional negative fixtures with narrow lint suppressions +- Enforce Python type-only import linting [`dd3d399`](https://github.com/acgetchell/la-stack/commit/dd3d399bf181aea7697c0cca1b6a60f67a39cd2b) + + - Apply Ruff's TC rules to Python static-analysis fixtures. + - Keep annotation-only dependencies out of runtime imports. +- Enforce complete Python fixture linting [`ebc45fe`](https://github.com/acgetchell/la-stack/commit/ebc45fefeb99eec72c13c939d3eb5c3505bf1114) + + - Run the full configured Ruff policy over Python Semgrep fixtures in canonical CI. + - Isolate deliberate fixture violations with narrow per-file suppressions. + - Exclude static-analysis fixtures from CodeRabbit review and leave docstring policy to Ruff. +- [**breaking**] Harden rational APIs and release comparisons + [`d8f9897`](https://github.com/acgetchell/la-stack/commit/d8f9897f59cce0a220efdbbcbaaf9180861889e9) + + - canonicalize signed and unreduced rational inputs at construction boundaries + - preserve invariant-bearing RationalVector solutions across both exact input domains + - retain typed singularity, conversion, and runtime-dispatch diagnostics + - make release comparisons capability-aware for pre-rational benchmark baselines + - clarify exact-input guarantees, f64 precision loss, and benchmark provenance +- Make rational comparisons fair and backward-compatible [`67afc8e`](https://github.com/acgetchell/la-stack/commit/67afc8e61345e1993680c315223e544ea1800937) + + - Exclude input cloning from consuming BigRational reference timings. + - Support schema-1 artifacts that predate rational-input provenance. + - Omit unsupported rational-input rows from legacy coverage checks. +- Avoid false certificate logging alerts [`d8d21db`](https://github.com/acgetchell/la-stack/commit/d8d21dbf76d7a4fa3ba15f37a6086179e7394976) + + - Rename numerical-bound locals so CodeQL does not mistake them for sensitive certificate data. + - Document finite bound invariants, the affine error formula, and typed failure contexts. + - Make proof-range and second-FMA overflow expectations explicit. +- Complete benchmark CI and improve documentation navigation [`ee1c60f`](https://github.com/acgetchell/la-stack/commit/ee1c60f72a7570deae10aa90e54141c9422e4322) + + - Allow the full exact benchmark suite to finish while preserving normal sampling and skipping unused plots. + - Select successful main baselines and report incomplete comparisons accurately. + - Add a canonical 5×5 quickstart, linked feature summaries, Contents, and a Documentation Map. + - Move detailed examples and numerical contracts into rustdoc guides. + - Record README, docs.rs, and GitHub documentation conventions. + - Document numerical logging false positives and the outstanding paste maintenance advisory. + - Update cargo-llvm-cov and rumdl tool pins. +- Correct Windows Markdown checks and benchmark summaries [`e7ca1fe`](https://github.com/acgetchell/la-stack/commit/e7ca1fe2bcd172d4000434b87ce9d511ac7a1487) + + - Count Unicode characters consistently to prevent false Markdown line-length failures on Windows. + - Report benchmark comparisons as unavailable when baseline coverage is missing or incomplete. + - Stabilize Documentation Map navigation across GitHub and rustdoc. + - Link exact determinant filtering to det_direct_with_errbound(). +- Align zizmor audits and harden release cache isolation [`ee091c3`](https://github.com/acgetchell/la-stack/commit/ee091c36e8c6bff299f3536aba6c05ec5c7f659d) + + - Synchronize local and CI zizmor versions and personas, enable authenticated online audits, and clearly report offline fallback. + - Remove dependency and tool caches from release benchmark production while preserving separate producer and publisher permissions. + - Enforce scanner-version and release-cache policies with Semgrep. + - Reorganize README, references, and mathematical guidance with early API selection, alphabetized methods, and stable thematic citations. + - Expand algorithm references, determinant-bound derivations, and numerical contracts for exact conversion, intervals, and scaled products. + - Trim AGENTS.md into focused linked guides and document file ownership. + - Establish documentation filename conventions and align coverage navigation, performance-report links, and generator output paths. +- Verify zizmor version sources and clarify numerical docs [`421bcda`](https://github.com/acgetchell/la-stack/commit/421bcdae365145eb2e32e5087e4ef50d1989c43a) + + - Require the zizmor resolver to read the canonical justfile pin and publish it without substituting a hard-coded or unrelated version. + - Point README mathematical-basis links to the main branch. + - Define roundoff-bound notation explicitly, including binary64 unit roundoff and the D and 2D reduction counts. + - Document non-finite factor rejection in ScaledProduct. + - Exempt intentional Semgrep fixtures from the algebraic-operation prohibition while retaining it for other repository-owned Rust. +- Budget and validate release Criterion baselines [`42a3e1f`](https://github.com/acgetchell/la-stack/commit/42a3e1fc2f4db0fee13e7ae2a72295ec7286934f) + + - Allow 150 minutes for comparative benchmarks and 90 minutes for exact benchmarks within a 285-minute job, preserving full Criterion sampling. + - Require complete, valid raw measurements and matching saved baselines before packaging the archive with its benchmark inventory. + - Report suite runtimes and support manual runs without release publication. + - Specify the repository explicitly when uploading release assets. + - Document runtime estimates, headroom, and pre-release verification. +- Enforce benchmark setup limits and improve README navigation + [`d8382ea`](https://github.com/acgetchell/la-stack/commit/d8382eac0b6b467ea390ea04a5ec04fb4600bc8a) + + - Limit checkout to 2 minutes and share a 28-minute timeout across tool installation, input validation, and benchmark inventory. + - Align budget documentation with the enforced setup limits. + - Place scalar types, API navigation, and features after Quickstart, move Examples before Benchmarks, and update the Contents list. + - Sort feature flags, scalar domains, documentation links, examples, and their run commands lexicographically. +- Attach benchmark baselines before publishing releases [`0ddf9cf`](https://github.com/acgetchell/la-stack/commit/0ddf9cf31e65a41ddeff2fc996f84222c1f19ebf) + + - Require an explicit stable tag and a matching mutable draft release. + - Benchmark the resolved tag commit and verify the uploaded archive's size and SHA-256 digest before publishing the draft. + - Reuse matching draft assets on publisher retries without overwriting conflicting assets or modifying published releases. + - Require fresh draft checks when rerunning benchmarks. + - Document draft creation, workflow dispatch, and failed-run recovery. +- Isolate release benchmarks from default-branch caches [`d9434f2`](https://github.com/acgetchell/la-stack/commit/d9434f2cfcf20c05a898228e563fd0d1eee63632) + + - Run benchmarks from the release tag and check out the workflow's own commit to keep execution in that tag's cache scope. + - Reject mismatched dispatch refs and tags moved since dispatch. + - Update release instructions to use --ref "$TAG" instead of main. +- Correct interval bounds and support mutable dispatch captures + [`3fb215b`](https://github.com/acgetchell/la-stack/commit/3fb215b6dcbc17d5ed209b4b35a6038d8e0362af) + + - Use magnitude-ordered FastTwoSum to avoid spurious non-finite errors in interval addition and subtraction near f64::MAX. + - Allow dimension-dispatch macro bodies to mutate captures while preserving support for consuming closures. + - Skip redundant GCD work when clearing rational denominators. + - Clarify numerical certificates, error provenance, and mutation guarantees in API documentation. + - Sort README API entries and document the existing Gram benchmark suite. +- [**breaking**] Finalize v0.4.6 and preserve benchmark history + [`5c8a514`](https://github.com/acgetchell/la-stack/commit/5c8a51482c94dede10b2d7cb224186c09de76420) + + - Complete the v0.4.6 release PR with updated crate and utility package versions, citation metadata, release documentation, and roadmap + - Generate the release changelog with complete breaking-change descriptions, preserved Rust code formatting, and idempotent summary generation + - Refresh README benchmark assets and the v0.4.6 versus v0.4.5 report + - Preserve every measured local benchmark case in versioned CSV snapshots with means, medians, confidence intervals, sample counts, and provenance + - Regenerate reports and README assets after cleanup or artifact-only commits without rerunning benchmarks + - Publish reports, snapshots, and the latest pointer atomically; reject incomplete inputs, mismatched provenance, and overlapping output paths + - Isolate nalgebra/faer dependencies in the comparison workspace package so exact benchmark builds do not compile peer libraries + - Reuse baseline peer measurements and disable unused Criterion HTML generation to avoid missing-sample errors in filtered runs + - Fix shared-harness target resolution and exact-solve compatibility with supported historical releases + - Use faer's native dot-product kernel under a distinct benchmark identity + - Remove v0.4.3 adapters, missing-row exemptions, and legacy benchmark-name substitutions while preserving historical reports + - Archive the previous performance report and completed optimization studies + - Fix cargo-upgrade version detection during setup +- Restore portable Python validation [`4b6e7a1`](https://github.com/acgetchell/la-stack/commit/4b6e7a15d44f4f3af6b84e5cd7dbd374e0c49f2e) + + - Install git-cliff in CI using the justfile pin and require that version before running Python tests + - Preserve LF line endings in benchmark fixtures to prevent checksum failures on Windows + - Inspect parsed Just recipe bodies when checking benchmark runs so command prefixes and formatting cannot silently omit recipes + +### Maintenance + +- Tighten dependency-update tooling and diagnostics [`7e845d1`](https://github.com/acgetchell/la-stack/commit/7e845d12c7ad4a9d4dffb01740b5016098aa09ef) + + - add `cargo-update` to pinned tool setup and include it in `just update` maintenance flow + - make archive, benchmark, and tag release scripts emit safer error handling with preserved sub-exception diagnostics + - strengthen SemVer and ordering validation paths in tool scripts to fail fast with clearer messages + - refresh contributor/release docs and exact-api docs for updated setup/update expectations + - normalize and simplify exact-module test structure without changing runtime behavior + +### Performance + +- Characterize rational row-clearing allocation costs [`2688964`](https://github.com/acgetchell/la-stack/commit/2688964817484f3466f1cff733eff04e1b26e857) + + - Add small and wide-component rational benchmark fixtures across D=2–8. + - Isolate component cloning and integer scaling costs from complete determinant, sign, and solve operations. + - Publish allocation and timing data with provenance and reproduction steps supporting the existing borrowed implementation. +- [**breaking**] Optimize exact conversion and dense 4D determinants + [`7fd6d8e`](https://github.com/acgetchell/la-stack/commit/7fd6d8efd3cf6c12be5a591d87addd6e4961fa82) + + - Avoid redundant fraction reduction in strict RationalVector conversion. + - Share minors in dense exact 4×4 determinants while preserving the sparse fast path. + - Add adversarial solve benchmarks across D=2,3,4,5,8,16,32,64 and exact-arithmetic diagnostics. + - Include Gaussian reference working-copy costs in benchmark timings. + - Document the decision to retain existing LU/LDLT solve finalization after finding no repeatable speedup. + - Align tooling with Rust 1.98.1 and refresh dependency and tool pins. + +## [0.4.5] - 2026-08-21 + +### ⚠️ Breaking Changes + +- la-stack now requires Rust 1.97.1. +- rename performance-rerender to performance-doc and performance-local-vs-linalg to performance-local-non-exact, replace --rerender with --promote-artifacts, + and remove performance-archive-published. +- la-stack now requires Rust 1.98.0. + +### Merged Pull Requests + +- Bump the dependencies group with 3 updates [#211](https://github.com/acgetchell/la-stack/pull/211) +- Bump the github-actions group with 7 updates [#200](https://github.com/acgetchell/la-stack/pull/200) + +### Added + +- Persist release report artifacts for rerendering [`600445c`](https://github.com/acgetchell/la-stack/commit/600445c325ade517631d50a5f625923f56387f1c) + + - Store deterministic comparison CSV with an adjacent schema-versioned provenance sidecar before temporary worktrees are removed. + - Render and promote reports only from validated artifact reloads, with fail-closed path checks and transactional rollback. + - Add performance-rerender and document artifact retention, GitHub assets, and the release workflow. + - Refresh Rust, Python, contributor-tool, and GitHub Action pins, and separate Dependabot security update groups. + +### Dependencies + +- Bump the github-actions group with 7 updates [#200](https://github.com/acgetchell/la-stack/pull/200) + [`9728daf`](https://github.com/acgetchell/la-stack/commit/9728dafc026bb2a849bae49feaca6144c5598698) + + Bumps the github-actions group with 7 updates: + + | Package | From | To | + | --- | --- | --- | + | [actions/checkout](https://github.com/actions/checkout) | `7.0.0` | `7.0.1` | + | [github/codeql-action/upload-sarif](https://github.com/github/codeql-action) | `4.37.0` | `4.37.3` | + | [actions/setup-python](https://github.com/actions/setup-python) | `6.3.0` | `7.0.0` | + | [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) | `8.3.2` | `9.0.0` | + | [github/codeql-action/init](https://github.com/github/codeql-action) | `4.37.0` | `4.37.3` | + | [github/codeql-action/analyze](https://github.com/github/codeql-action) | `4.37.0` | `4.37.3` | + | [zizmorcore/zizmor-action](https://github.com/zizmorcore/zizmor-action) | `0.5.7` | `0.6.1` | + + Updates `actions/checkout` from 7.0.0 to 7.0.1 + + - [Release notes](https://github.com/actions/checkout/releases) + - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) + - [Commits](https://github.com/actions/checkout/compare/9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0...3d3c42e5aac5ba805825da76410c181273ba90b1) + + Updates `github/codeql-action/upload-sarif` from 4.37.0 to 4.37.3 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/99df26d4f13ea111d4ec1a7dddef6063f76b97e9...e4fba868fa4b1b91e1fdab776edc8cfbe6e9fb81) + + Updates `actions/setup-python` from 6.3.0 to 7.0.0 + - [Release notes](https://github.com/actions/setup-python/releases) + - [Commits](https://github.com/actions/setup-python/compare/ece7cb06caefa5fff74198d8649806c4678c61a1...5fda3b95a4ea91299a34e894583c3862153e4b97) + + Updates `astral-sh/setup-uv` from 8.3.2 to 9.0.0 + - [Release notes](https://github.com/astral-sh/setup-uv/releases) + - [Commits](https://github.com/astral-sh/setup-uv/compare/11f9893b081a58869d3b5fccaea48c9e9e46f990...c771a70e6277c0a99b617c7a806ffedaca235ff9) + + Updates `github/codeql-action/init` from 4.37.0 to 4.37.3 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/99df26d4f13ea111d4ec1a7dddef6063f76b97e9...e4fba868fa4b1b91e1fdab776edc8cfbe6e9fb81) + + Updates `github/codeql-action/analyze` from 4.37.0 to 4.37.3 + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/99df26d4f13ea111d4ec1a7dddef6063f76b97e9...e4fba868fa4b1b91e1fdab776edc8cfbe6e9fb81) + + Updates `zizmorcore/zizmor-action` from 0.5.7 to 0.6.1 + - [Release notes](https://github.com/zizmorcore/zizmor-action/releases) + - [Commits](https://github.com/zizmorcore/zizmor-action/compare/192e21d79ab29983730a13d1382995c2307fbcaa...6fc4b006235f201fdab3722e17240ab420d580e5) +- Bump the dependencies group with 3 updates [#211](https://github.com/acgetchell/la-stack/pull/211) + [`493068a`](https://github.com/acgetchell/la-stack/commit/493068ac653724959f7083f34d5c909a496314bd) + + Updates the requirements on [ruff](https://github.com/astral-sh/ruff), [ty](https://github.com/astral-sh/ty) and + [setuptools](https://github.com/pypa/setuptools) to permit the latest version. + + Updates `ruff` from 0.16.1 to 0.16.2 + + - [Release notes](https://github.com/astral-sh/ruff/releases) + - [Changelog](https://github.com/astral-sh/ruff/blob/main/CHANGELOG.md) + - [Commits](https://github.com/astral-sh/ruff/compare/0.16.1...0.16.2) + + Updates `ty` from 0.0.66 to 0.0.69 + - [Release notes](https://github.com/astral-sh/ty/releases) + - [Changelog](https://github.com/astral-sh/ty/blob/main/CHANGELOG.md) + - [Commits](https://github.com/astral-sh/ty/compare/0.0.66...0.0.69) + + Updates `setuptools` to 84.0.0 + - [Release notes](https://github.com/pypa/setuptools/releases) + - [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst) + - [Commits](https://github.com/pypa/setuptools/compare/v83.0.0...v84.0.0) + +### Fixed + +- Enforce pinned uv in local recipe guards [`938aff6`](https://github.com/acgetchell/la-stack/commit/938aff62517d5055d1db49bc7734e4069ef74d72) + + - Reject missing or mismatched uv versions with actionable diagnostics. + - Reuse the canonical version guard across uv-backed validation helpers. +- Harden release artifact promotion [`8b8537b`](https://github.com/acgetchell/la-stack/commit/8b8537b86226285a343976ea987cf2759bf3dd7d) + + - Treat CRLF and LF archive reports as equivalent while preserving stored bytes. + - Share comparison selection and report-update guidance across generation paths. + - Isolate artifact path resolution and retained-artifact rendering. + - Clarify that durable benchmark downloads are GitHub Release assets. +- Harden numerical and release evidence [`c878701`](https://github.com/acgetchell/la-stack/commit/c8787017122c3e94958e82d327fdab8a305999b8) + + - Surface determinant overflow even when error-bound terms underflow. + - Measure complete benchmark operations symmetrically and bind retained reports to atomic, validated provenance. + - Fail closed on inconsistent release metadata, tags, changelog sections, Semgrep annotations, and recorded CPU provenance. + - Align docs.rs feature annotations, citation identifiers, all-target linting, and configurable property-test runs with documented contracts. +- Harden release and validation edge cases [`260afb8`](https://github.com/acgetchell/la-stack/commit/260afb85fdc8eaa873bdb64b6d7eae76ab6b9abc) + + - Preserve archived changelog bytes during rollback and reject malformed Unreleased headings. + - Match overlapping Semgrep fixture spans deterministically and centralize immutable benchmark provenance handling. + - Document exact matrix/RHS scaling and the power-of-two factor that preserves linear systems. +- [**breaking**] Unify local and release performance workflows + [`c601c41`](https://github.com/acgetchell/la-stack/commit/c601c4146b01868a29288b7221e413706e3e01c7) + + - Retain local Markdown, CSV, and provenance artifacts while allowing same-version comparisons of tracked changes. + - Exclude untracked files explicitly and isolate the narrowed non-exact comparison bundle. + - Promote distinct-release artifacts through performance-doc and keep performance-release atomic and rollback-capable. + - Render one consolidated table per benchmark suite and reject invalid release publication states. +- Isolate algebraic float fixture scans [`56e848f`](https://github.com/acgetchell/la-stack/commit/56e848fb3dbbc93f2fd4c0b566d71489c96dc857) + + - exclude intentional algebraic float violations from production Semgrep scans while preserving direct fixture validation + - cover f64 associated-call syntax alongside f32 and receiver forms + - forbid dead-code suppressions and remove blanket allowances from static-analysis fixtures + +### Maintenance + +- Gate auto-merge on CodeRabbit approval [`2a37961`](https://github.com/acgetchell/la-stack/commit/2a37961ee8c95f2482541910de78680af22bb968) + + - Request one SHA-scoped CodeRabbit review for each Dependabot update. + - Enable squash auto-merge only for the triggering head after required checks pass. + - Group GitHub Actions updates, remove autopep8, and refresh pinned tooling. + - Print an explicit release title in tag-release follow-up guidance. +- [**breaking**] Require Rust 1.97.1 [`99bac26`](https://github.com/acgetchell/la-stack/commit/99bac263ae773cc8cb42c418630c8e7dd7d023b8) + + - align contributor, CI, release, and Clippy toolchain baselines + - compile benchmarks with Cargo's warning policy to preserve cache reuse + - publish CodeRabbit's canonical review check for ruleset enforcement +- Restore ruleset-compatible status [`5235365`](https://github.com/acgetchell/la-stack/commit/5235365efaf38a0d4035d74a46a7468ad10921d0) + + - publish the legacy CodeRabbit commit status required by the main ruleset + - keep review progress disabled until CodeRabbit can publish the required check run +- Standardize validation and centralize tool pins [`54a7e3a`](https://github.com/acgetchell/la-stack/commit/54a7e3a8e8a640fa5069d5c07fffbf1c1dfab903) + + - Compose CI from orthogonal leaf validators with one release-profile nextest pass and separate doctests. + - Resolve workflow tooling through the justfile and shared setup action. + - Document focused validation, notebook scope, and Rust 1.97 tooling policy. + - Refresh development tools, security actions, Dependabot schedules, and lockfiles. +- [**breaking**] Require Rust 1.98.0 [`2f9e0a8`](https://github.com/acgetchell/la-stack/commit/2f9e0a83c4fd974f34f87f29409cf1eac4da5343) + + - align the MSRV, contributor toolchain, dependency locks, and documented maintenance baseline + - forbid algebraic float operations in numerical kernels to preserve IEEE-754 error and reproducibility contracts + - add a scoped just update workflow with atomic Cargo tool-pin reconciliation + - clean failed changelog and performance staging files without disturbing published artifacts + +### Performance + +- Reduce checked determinant query overhead [`2bdf1d3`](https://github.com/acgetchell/la-stack/commit/2bdf1d3dc4b4a27928a888be678b4c360916e94c) + + - Aggregate D≥5 range proofs before a single cold scaled replay. + - Preserve immediate small-dimension fallback and range-safe determinant behavior. + +## [0.4.4] - 2026-07-13 + +### ⚠️ Breaking Changes + +- Rename `Tolerance::new` to `Tolerance::try_new` and `Matrix::get_checked` to `Matrix::try_get`; remove `Matrix::set_checked` in favor of `Matrix::set`. + `Vector::dot` and `Vector::norm2_sq` now borrow their operands. `det_sign_exact` is now infallible and returns `DeterminantSign` instead of + `Result`. `LaError` variants now use typed reason, location, and origin fields and require `..` in downstream matches. LDLT now requires exact + symmetry, determinant error bounds may be unavailable under gradual underflow, and `ERR_COEFF_2`, `ERR_COEFF_3`, and `ERR_COEFF_4` are no longer exported by + the prelude. +- Rust versions earlier than 1.97.0 are no longer supported. + +### Added + +- [**breaking**] Make numerical invariants and errors explicit + [`668daed`](https://github.com/acgetchell/la-stack/commit/668daed6f5d83a03fc95a7872a0a302d097e3fc4) + + - add structured error reasons, locations, origins, and factorization context + - make determinant, exact-conversion, LU, and LDLT paths range-safe and mathematically explicit + - validate benchmark inputs independently and require reproducible, provenance-backed performance evidence + - centralize tool versions, adopt nextest profiles, and replace Codacy with repository-owned checks and SARIF reporting + +### Changed + +- Consolidate setup abort handling [`b9e453e`](https://github.com/acgetchell/la-stack/commit/b9e453e540da3c63b0a14ca94b4bcfbc9c8ff6bd) + + - Share `OrAbort` across exact and comparison benchmarks while preserving contextual panic behavior. + - Centralize Clippy policy in Cargo.toml for consistent local and CI checks. + - Keep `unreachable_pub` enforced while allowing intentional crate-visible helpers. + - Enable CodeRabbit's request-changes review workflow. + +### Dependencies + +- Bump python-multipart in the uv group across 1 directory [`6bb4fb7`](https://github.com/acgetchell/la-stack/commit/6bb4fb7ce48e49d4d2a5bfe4ff5d55b09e6300e2) + + Bumps the uv group with 1 update in the / directory: [python-multipart](https://github.com/Kludex/python-multipart). + + Updates `python-multipart` from 0.0.30 to 0.0.31 + + - [Release notes](https://github.com/Kludex/python-multipart/releases) + - [Changelog](https://github.com/Kludex/python-multipart/blob/main/CHANGELOG.md) + - [Commits](https://github.com/Kludex/python-multipart/compare/0.0.30...0.0.31) +- Bump zizmorcore/zizmor-action from 0.5.6 to 0.5.7 [`4a999a6`](https://github.com/acgetchell/la-stack/commit/4a999a664211126e581da47713f6d2426d6db698) + + Bumps [zizmorcore/zizmor-action](https://github.com/zizmorcore/zizmor-action) from 0.5.6 to 0.5.7. + + - [Release notes](https://github.com/zizmorcore/zizmor-action/releases) + - [Commits](https://github.com/zizmorcore/zizmor-action/compare/5f14fd08f7cf1cb1609c1e344975f152c7ee938d...192e21d79ab29983730a13d1382995c2307fbcaa) +- Bump github/codeql-action/upload-sarif [`85c0a7b`](https://github.com/acgetchell/la-stack/commit/85c0a7bd6a1b3d3e0e00f4e82c6d544c2ca0f22b) + + Bumps [github/codeql-action/upload-sarif](https://github.com/github/codeql-action) from 4.36.0 to 4.36.2. + + - [Release notes](https://github.com/github/codeql-action/releases) + - [Changelog](https://github.com/github/codeql-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/github/codeql-action/compare/7211b7c8077ea37d8641b6271f6a365a22a5fbfa...8aad20d150bbac5944a9f9d289da16a4b0d87c1e) +- Bump actions/checkout from 6.0.2 to 7.0.0 [`0f0f956`](https://github.com/acgetchell/la-stack/commit/0f0f956c64ddbc5700f3c2f96b90242703e0a410) + + Bumps [actions/checkout](https://github.com/actions/checkout) from 6.0.2 to 7.0.0. + + - [Release notes](https://github.com/actions/checkout/releases) + - [Changelog](https://github.com/actions/checkout/blob/main/CHANGELOG.md) + - [Commits](https://github.com/actions/checkout/compare/de0fac2e4500dabe0009e67214ff5f5447ce83dd...9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0) +- Bump astral-sh/setup-uv from 8.1.0 to 8.2.0 [`259acaa`](https://github.com/acgetchell/la-stack/commit/259acaa06cc2d6b50f5c024c60cbdf9fe3172f7f) + + Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 8.1.0 to 8.2.0. + + - [Release notes](https://github.com/astral-sh/setup-uv/releases) + - [Commits](https://github.com/astral-sh/setup-uv/compare/08807647e7069bb48b6ef5acd8ec9567f424441b...fac544c07dec837d0ccb6301d7b5580bf5edae39) +- Bump codecov/codecov-action from 6.0.1 to 7.0.0 [`035807c`](https://github.com/acgetchell/la-stack/commit/035807c9312ce1ff818dcab9dd986980dfcb37d8) + + Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 6.0.1 to 7.0.0. + + - [Release notes](https://github.com/codecov/codecov-action/releases) + - [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/codecov/codecov-action/compare/e79a6962e0d4c0c17b229090214935d2e33f8354...fb8b3582c8e4def4969c97caa2f19720cb33a72f) +- Bump vulnerable Python tooling dependencies [`4990260`](https://github.com/acgetchell/la-stack/commit/49902604db70de7c6831f559aee967bf3c376bc1) + + - Update cryptography and Starlette to releases that resolve high-severity advisories. + - Update pydantic-settings to resolve its secrets-directory advisory. + - Refresh the transitive Semgrep development dependency graph. + +### Documentation + +- Add mathematical basis and clarify numerical guarantees [`31b7b1e`](https://github.com/acgetchell/la-stack/commit/31b7b1e7c547fc69edbb601e68b2f29e83d5cd24) + + - define the binary64, factorization, determinant-filter, exact-arithmetic, tolerance, and error contracts + - align README, API documentation, examples, and LDLT diagnostics with guarantees over stored values + - audit academic references and extend Criterion coverage for determinant error-bound paths +- Clarify determinant and LDLT failure contracts [`e257343`](https://github.com/acgetchell/la-stack/commit/e2573434c541a8115750b3a965882f7b484b6be0) + + - State the determinant sign condition without ambiguous Markdown delimiters. + - Distinguish singular zero pivots from coupled zero-pivot LDLT rejections. + - Align citation and contributor guidance with the positive-definite domain. + +### Fixed + +- Make v0.4.3 comparisons correctness-aware [`4ac5af9`](https://github.com/acgetchell/la-stack/commit/4ac5af9ce104c5126bfd6217414977cca269b62e) + + - Adapt the shared benchmark harness across v0.4.3 API differences without changing measured operations + - Exclude invalid balanced-range baselines while requiring current samples and reporting unavailable comparisons + - Preserve benchmark provenance, suite-specific fallback commands, and publication rollback guarantees + - Harden Windows Git input, changelog links, and version-reference parsing across platforms +- Harden exact arithmetic and benchmark publication [`db2fad5`](https://github.com/acgetchell/la-stack/commit/db2fad50087c773f7ae37f181f720da2a9ff4a23) + + - add `DeterminantWithErrorBound` for paired determinant estimates and certified bounds + - scale exact systems independently and round exact values directly to IEEE-754 + - fail benchmark publication closed on invalid samples or mismatched provenance + - make release and changelog tooling transactional, path-safe, and Windows-portable + - align benchmark CI with pinned local tools and least-privilege publishing +- Harden changelog and version generation [`2e1eb2e`](https://github.com/acgetchell/la-stack/commit/2e1eb2e965333fab51934c2b605fe3465e4b57e6) + + - Reject tag prefixes embedded in longer non-semver revisions + - Preserve fenced examples when stripping Dependabot metadata + - Document the conditional exact-solve scaling invariant + - Regenerate the v0.4.4 changelog through the release workflow + +### Maintenance + +- Update setuptools requirement in the dependencies group [`6a6c339`](https://github.com/acgetchell/la-stack/commit/6a6c339e7fbec1c9ca4226005794e8ab87f0c2d6) + + Updates the requirements on [setuptools](https://github.com/pypa/setuptools) to permit the latest version. + + Updates `setuptools` to 83.0.0 + + - [Release notes](https://github.com/pypa/setuptools/releases) + - [Changelog](https://github.com/pypa/setuptools/blob/main/NEWS.rst) + - [Commits](https://github.com/pypa/setuptools/compare/v65.0.0...v83.0.0) +- Avoid duplicate review checks [`5e15d92`](https://github.com/acgetchell/la-stack/commit/5e15d9250455fd1467e47a735412f65449f30b56) + + - Use the legacy required status while preserving automatic approvals. + - Add explicit dense D3 determinant coverage and document the D4 error bound. +- [**breaking**] Require Rust 1.97.0 [`4033f1f`](https://github.com/acgetchell/la-stack/commit/4033f1f39e411ed066fec808805371979995964b) + + - Align Cargo, the pinned toolchain, Clippy, dependency-audit triggers, and maintainer guidance with the new baseline. + - Audit Rust 1.97 integer bit helpers against exact-arithmetic hot paths and retain existing operations where alternatives do not preserve performance. + - Correct v0.4.3 citation metadata and document exact decomposition and solve scaling accurately. + +### Performance + +- Restore det_direct throughput for D=2..4 [`f6d6885`](https://github.com/acgetchell/la-stack/commit/f6d68855a314fc4802c559080d9faca85db81bb9) + + - Reintroduce branch-free dense expansions for D=2 and D=3. + - Share D=4 minors while retaining guarded sparse evaluation. + - Preserve non-finite handling for mathematically inactive terms. +- Restore small-matrix det_sign_exact throughput [`b8bfa9f`](https://github.com/acgetchell/la-stack/commit/b8bfa9fa0c908ea034d294ceb123c8191eff3395) + + - Reuse proof-bearing shared minors for D4 determinant and permanent evaluation. + - Restore the dense D3 filter while preserving sparse, overflow, and underflow fallbacks. + - Require headline benchmarks to exercise the intended filter and document historical harness overhead. +- Improve inf_norm throughput [`dc28f98`](https://github.com/acgetchell/la-stack/commit/dc28f9828a1e90b5604e4a55284175e50f84d7e2) + + - Check row-sum finiteness once per completed row on the success path. + - Replay only overflowing rows to preserve the first failing matrix coordinate. + - Preserve left-to-right accumulation and const evaluation across dimensions. +- Improve dot and norm2_sq throughput [`ece54d7`](https://github.com/acgetchell/la-stack/commit/ece54d7b2a73111c2bc378a417189e2951a39cbc) + + - Check accumulator finiteness once after the success-path reduction. + - Replay only non-finite reductions to preserve the first failing step. + - Preserve left-to-right fused accumulation and const evaluation. + +## [0.4.3] - 2026-06-09 + +### ⚠️ Breaking Changes + +- det_exact_f64 and solve_exact_f64 now return LaError::Unrepresentable instead of rounding or reporting Overflow for exact values that cannot be represented + exactly as finite f64. Call det_exact_rounded_f64 or solve_exact_rounded_f64 to opt into rounded finite f64 results. +- strict exact-to-f64 APIs now return LaError::Unrepresentable instead of silently rounding, public Matrix and Vector construction is fallible, and the previous + finite proof wrapper APIs are removed. + +### Added + +- Guard README dependency snippets [`7137fee`](https://github.com/acgetchell/la-stack/commit/7137fee16ab33e08f4dc6a60e02417e3e7c4e020) + + - Add a generic docs-version sync check that compares Markdown dependency + snippets against the Cargo package name and version + - Run the docs-version check from the repository Semgrep policy lane + - Refresh README determinant examples with explicit fallible handling and + hidden doctest mirrors + - Update CI uv pins to 0.11.19 +- Report determinant scale overflow precisely [`928f62b`](https://github.com/acgetchell/la-stack/commit/928f62bba0d837afe04cb8ccb3fbfed6b095d8f7) + + - Add a typed LaError::DeterminantScaleOverflow path for exact determinant scale exponent failures + - Convert det_exact_f64 directly from the shared Bareiss integer/exponent pair while preserving Overflow for finite-f64 conversion failures + - Reuse vector finiteness scanning across raw and proof-bearing constructors + - Harden docs version sync checks for reordered inline-table dependency snippets and pruned Markdown traversal +- Add release performance comparison workflow [`53b5fde`](https://github.com/acgetchell/la-stack/commit/53b5fde13f3e4afbd3db80d324185a091203cb75) + + - Extend vs_linalg with LDLT/Cholesky benchmark rows and shared deterministic inputs. + - Add smoke coverage that checks la-stack, nalgebra, and faer agree on benchmark inputs. + - Expand bench-compare to support latest-vs-last reports, suite/scope selection, peer baseline context, and clearer malformed Criterion diagnostics. + - Document the benchmark methodology, release baseline workflow, roadmap direction, and contributor guidance. +- Publish release benchmark baselines [`9497ca5`](https://github.com/acgetchell/la-stack/commit/9497ca5f88dd7800bdf3823123e2a295fcb5ced1) + + - Add a release-only benchmark workflow that saves full Criterion baselines for published releases and attaches the archived baseline to the GitHub Release. + - Keep the regular benchmark workflow focused on PR and main-branch comparison runs. + - Document how to restore archived release baselines for future performance comparisons. +- Feat!(api): make Matrix and Vector finite by construction [`1fa2f55`](https://github.com/acgetchell/la-stack/commit/1fa2f55cfac6f249a7e2bf30922901539e580dd8) +- [**breaking**] Make exact f64 conversions strict [`8e33f1a`](https://github.com/acgetchell/la-stack/commit/8e33f1a8ec291bfcb6312375969efce076421e96) + + - Add explicit rounded exact-to-f64 APIs for determinant and solve results + - Report exact conversion failures with typed Unrepresentable reasons + - Remove finite proof wrapper APIs now that Matrix and Vector carry finiteness directly + - Move error and tolerance contracts into first-class modules with prelude exports + - Update exact benchmarks to distinguish strict Result paths from rounded f64 paths + - Document and exercise the rounded fallback pattern for RequiresRounding errors +- [**breaking**] Make exact f64 conversions strict [`89f3720`](https://github.com/acgetchell/la-stack/commit/89f3720ecde9f12d7a0f42e79394836615e8fd97) + + - Make Matrix and Vector the finite-by-construction public types for exact arithmetic. + - Add rounded exact-to-f64 APIs for determinant and solve callers that want explicit lossy conversion. + - Return typed Unrepresentable reasons when strict exact-to-f64 conversion would round or become non-finite. + - Specialize D4 exact determinants and keep determinant/error-bound zero coefficients from evaluating overflowing absent terms. + - Update exact benchmark comparison reporting to compare strict and rounded APIs against legacy v0.4.2 rows. +- Archive release performance reports [`2817d01`](https://github.com/acgetchell/la-stack/commit/2817d01374ad0aeab98d6f48a3dae9b30f878a8a) + + - Add an archive-performance utility that promotes curated benchmark reports into docs/PERFORMANCE.md while archiving prior release comparisons + - Generate release comparisons in isolated temporary worktrees, including legacy command fallback for published tags + - Wire release and historical archive recipes into just, Python packaging, and release documentation +- Automate published performance report archiving [`d31e26a`](https://github.com/acgetchell/la-stack/commit/d31e26a9d7a47a6c3089028630640bcff5afe7c0) + + - Track the latest curated release comparison in docs/PERFORMANCE.md and archive older comparisons under docs/archive/performance/ + - Let performance-archive-published discover the latest stable GitHub release and previous stable baseline automatically + - Generate release comparisons in isolated temporary worktrees, with release-asset restore and local baseline fallback paths + - Update benchmark and release docs to use the scripted workflow instead of manual checkout steps +- Split local and release performance comparisons [`7258525`](https://github.com/acgetchell/la-stack/commit/7258525590f2ed68d41879e71c833010e408e7f7) + + - Add default performance-local and performance-release workflows that infer the relevant release tags and run in temporary worktrees. + - Add a performance-github-assets workflow for comparing stored GitHub Actions release benchmark assets without local cargo runs. + - Normalize release tags before fetching, downloading assets, or checking out detached worktrees. + - Update performance docs, release guidance, and generated report instructions to use the new benchmark workflows. +- Add vs_linalg-only performance checks [`d7c1487`](https://github.com/acgetchell/la-stack/commit/d7c1487115e1a8e5bb1ec4fcc7592786e300e2ce) + + - Add local workflows for comparing current non-exact la-stack kernels against a release baseline without rerunning current nalgebra/faer or exact benchmarks. + - Route archive-performance baseline and current benchmark commands by suite, with legacy fallback support for older release worktrees. + - Document the faster release-signal workflow and expand Semgrep fixtures for benchmark, example, doctest, and public panic-path rules. + +### Changed + +- Cover determinant scale overflow boundaries [`532093a`](https://github.com/acgetchell/la-stack/commit/532093a1ed9f65ace159f80aac290907d570ea8a) + + - Extract determinant scale exponent calculation into a private helper + - Assert typed DeterminantScaleOverflow errors for dimension conversion and exponent product overflow +- Harden support script parsing [`87e1d00`](https://github.com/acgetchell/la-stack/commit/87e1d0042ad2de7888c1a065ab78524a63f4c045) + + - Require Python 3.13 for support-script tooling and align Ruff/Ty with that baseline. + - Replace mypy with strict Ty checking in the Python workflow. + - Parse TOML, JSON, argparse, and Semgrep inputs into typed boundary objects before downstream use. + - Reject malformed Criterion estimates, non-finite timings, invalid confidence intervals, and malformed Semgrep result shapes. +- Harden Rust release hygiene [`8e12c93`](https://github.com/acgetchell/la-stack/commit/8e12c935fe54e265e8ceb640702267ec0e71b7b1) + + - Promote missing documentation and dead code lints to deny-level checks. + - Forbid unsafe code explicitly across Rust modules and benchmark targets. + - Document the LU/LDLT empty-matrix convention for D=0. + - Move exact benchmark input generation into typed helpers and consolidate exact benchmark operation dispatch. + +### Documentation + +- Sync citation metadata for v0.4.2 [`f473ec5`](https://github.com/acgetchell/la-stack/commit/f473ec50946e5f668e9ad9a2d978e499dcb10f04) + + - Update CITATION.cff with the v0.4.2 version and release date. + - Align the Python utility package metadata and lockfile with the crate release. + - Add citation metadata validation to the release checklist and config lint flow. + - Include CITATION.cff in YAML/CFF formatting checks. +- Make release documentation links portable [`dd4ad19`](https://github.com/acgetchell/la-stack/commit/dd4ad192a42e28d9cc72b336b40802fe65cea4f0) + +### Fixed + +- Escape path regex in benchmark parser test [`1222c93`](https://github.com/acgetchell/la-stack/commit/1222c9325c7b7ea0e1a174e4ee6f0f08e1f7e94b) + + Use a literal regex pattern for the malformed Criterion JSON diagnostic so + Windows paths with backslashes do not break pytest's match expression. +- Align ty with Python 3.13 [`b9e0ba0`](https://github.com/acgetchell/la-stack/commit/b9e0ba08e54a15d8eddd5c5c53edc37bbc03939a) +- Preserve coordinates for overflowed accumulators [`1d976b3`](https://github.com/acgetchell/la-stack/commit/1d976b346172ad4eca37c68a3ec31817eeca8529) + + - Return matrix-cell metadata when inf-norm row sums or symmetry tolerance scaling overflow. + - Avoid reparsing finite-by-construction RHS vectors in LU and LDLT solves. +- Re-raise unexpected archive failures [`7938386`](https://github.com/acgetchell/la-stack/commit/7938386166f1f3f5cf594c5def67458d48e19a98) + + - Limit archive-performance CLI error handling to expected validation, filesystem, subprocess, and runtime failures. + - Let unexpected exceptions propagate so benchmark archiving bugs surface during development. + +### Performance + +- Improve factorization kernel [`8837df1`](https://github.com/acgetchell/la-stack/commit/8837df1f54a9fa2c20abc1487cfce4de8c8e09c5) + + - Preserve the tiny-dimension update shape for D2-D5 to avoid regressing the core fixed-size path + - Fuse multiplier computation with trailing updates for larger dimensions to reduce extra column walks + - Rely on the LDLT factorization proof instead of a redundant final finite-storage scan +- Optimize exact and factorized solve kernels [`1690355`](https://github.com/acgetchell/la-stack/commit/1690355bf27c2cbba685ba0cd70486275c7620b8) + + - Split LU and LDLT solve paths so tiny matrices keep the direct kernels while larger fixed dimensions avoid extra substitution work. + - Convert dyadic exact solve results directly to finite f64 and preserve UnrepresentableReason recovery semantics on strict conversion failures. + - Modernize release branch commands and keep just recipes sorted. + +## [0.4.2] - 2026-06-04 + +### Added + +- Feat!(matrix): enforce fallible matrix invariants [`e26c283`](https://github.com/acgetchell/la-stack/commit/e26c28358b2358100353b2895441b68892e92cd7) +- Feat!(api): enforce fallible numeric invariants [`adfc33b`](https://github.com/acgetchell/la-stack/commit/adfc33b945b259721bd1067e797ed2e7d4ec0e6e) +- Feat!(matrix): make determinant API tolerance-free [`11a355c`](https://github.com/acgetchell/la-stack/commit/11a355c099eaf366daec8c95af61b6934f914960) +- Feat!(api): hide finite and symmetry proofs behind matrix APIs + [`7219336`](https://github.com/acgetchell/la-stack/commit/721933671c28eb71953f1386a201622d6171caf7) +- Guard public Rust examples against unwrap [`df1130a`](https://github.com/acgetchell/la-stack/commit/df1130a7ad0ba69a1072ef231e14f3efb7e4b8de) + + - Add repository-owned Semgrep rules for unwrap and expect usage in public doctests, examples, and benchmarks. + - Add fixture-based Semgrep rule tests and include them in the lint workflow. + - Update examples and benchmarks to model typed fallible flow or operation-labeled benchmark failures. +- Feat!(api): enforce finite Matrix and Vector construction [`92ba403`](https://github.com/acgetchell/la-stack/commit/92ba4034b194875c62a27f24dfbf6d43f380f54e) + +### Changed + +- Remove redundant cache restore keys for cargo-llvm-cov [`f75a01c`](https://github.com/acgetchell/la-stack/commit/f75a01c99c8dbcc8b6ffc36ae9f94ba968a2f111) + + Remove the broad restore-keys pattern to ensure only exact version matches + are used from the cache, preventing potential version mismatches during + CI runs. +- Revert "ci: modernize tooling checks and example execution" + [`a4b9f64`](https://github.com/acgetchell/la-stack/commit/a4b9f64235f53274270ef9272634a61f653dad87) +- Reapply "ci: modernize tooling checks and example execution" + [`758321a`](https://github.com/acgetchell/la-stack/commit/758321acf872b1f17286ff3bb7bee6a807e4b440) +- Encode nonzero mantissas in exact decomposition [`7a664ed`](https://github.com/acgetchell/la-stack/commit/7a664ede2f4add168c5813f8d24e16732fa03b30) + + - Replace the exact-arithmetic zero mantissa sentinel with `Option`. + - Carry nonzero mantissa proof through matrix/vector decomposition and BigInt scaling. + - Clarify determinant documentation around uncertified `det()` bounds. + - Keep SPD determinant proptests on the tolerance-aware LU path. +- Simplify finite proof wrappers [`54b603c`](https://github.com/acgetchell/la-stack/commit/54b603c21f0eb5b4d63ff334fac7f8cc325ebc2e) + + - Use the checked proof-wrapper constructors as the single internal path for finite matrices and vectors. + - Remove exact-arithmetic tests that duplicated the matrix and vector non-finite boundary checks. + +### Dependencies + +- Bump taiki-e/install-action from 2.75.18 to 2.75.22 [`d6c944b`](https://github.com/acgetchell/la-stack/commit/d6c944bb7dd30bb00dfe820bc355c4351cb1f242) + + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.75.18 to 2.75.22. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/055f5df8c3f65ea01cd41e9dc855becd88953486...cf525cb33f51aca27cd6fa02034117ab963ff9f1) +- Bump actions/setup-node from 6.3.0 to 6.4.0 [`1fc57e1`](https://github.com/acgetchell/la-stack/commit/1fc57e1d5a2e9aed2cc67c90a6ce63b9eb469e2e) + + Bumps [actions/setup-node](https://github.com/actions/setup-node) from 6.3.0 to 6.4.0. + + - [Release notes](https://github.com/actions/setup-node/releases) + - [Commits](https://github.com/actions/setup-node/compare/53b83947a5a98c8d113130e565377fae1a50d02f...48b55a011bda9f5d6aeb4c2d9c7362e8dae4041e) +- Bump pastey from 0.2.1 to 0.2.2 in the dependencies group [`5b215d5`](https://github.com/acgetchell/la-stack/commit/5b215d5a87a25744d313867471943a614e81abd0) + + Bumps the dependencies group with 1 update: [pastey](https://github.com/as1100k/pastey). + + Updates `pastey` from 0.2.1 to 0.2.2 + + - [Release notes](https://github.com/as1100k/pastey/releases) + - [Changelog](https://github.com/AS1100K/pastey/blob/master/CHANGELOG.md) + - [Commits](https://github.com/as1100k/pastey/compare/v0.2.1...v0.2.2) +- Bump taiki-e/install-action from 2.75.22 to 2.77.3 [`3e5ce42`](https://github.com/acgetchell/la-stack/commit/3e5ce4273cbe02e0792747b8170efde5d079ae0c) + + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.75.22 to 2.77.3. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/cf525cb33f51aca27cd6fa02034117ab963ff9f1...e3134ec54b36203e18f2d1e80652058bd078dd91) +- Bump actions-rust-lang/setup-rust-toolchain [`8532b08`](https://github.com/acgetchell/la-stack/commit/8532b084168e07cfe6b48bb90fa2e533cb69d990) + + Bumps [actions-rust-lang/setup-rust-toolchain](https://github.com/actions-rust-lang/setup-rust-toolchain) from 1.16.0 to 1.16.1. + + - [Release notes](https://github.com/actions-rust-lang/setup-rust-toolchain/releases) + - [Changelog](https://github.com/actions-rust-lang/setup-rust-toolchain/blob/main/CHANGELOG.md) + - [Commits](https://github.com/actions-rust-lang/setup-rust-toolchain/compare/2b1f5e9b395427c92ee4e3331786ca3c37afe2d7...46268bd060767258de96ed93c1251119784f2ab6) +- Bump taiki-e/install-action from 2.77.3 to 2.78.3 [`bef2caf`](https://github.com/acgetchell/la-stack/commit/bef2cafcedd072857742da53256dd472a5855655) + + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.77.3 to 2.78.3. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/e3134ec54b36203e18f2d1e80652058bd078dd91...0e01fba183f89b991766ac4092315c09f1acb55c) +- Bump the dependencies group across 1 directory with 2 updates + [`ba01a14`](https://github.com/acgetchell/la-stack/commit/ba01a14346b84fd6385ee8a6acff8b2180080df5) + + Bumps the dependencies group with 2 updates in the / directory: [nalgebra](https://github.com/dimforge/nalgebra) and + [pastey](https://github.com/as1100k/pastey). + + Updates `nalgebra` from 0.34.2 to 0.35.0 + + - [Changelog](https://github.com/dimforge/nalgebra/blob/main/CHANGELOG.md) + - [Commits](https://github.com/dimforge/nalgebra/commits/v0.35.0) + + Updates `pastey` from 0.2.2 to 0.2.3 + - [Release notes](https://github.com/as1100k/pastey/releases) + - [Changelog](https://github.com/AS1100K/pastey/blob/master/CHANGELOG.md) + - [Commits](https://github.com/as1100k/pastey/compare/v0.2.2...v0.2.3) +- Bump taiki-e/install-action from 2.78.3 to 2.80.0 [`480e61b`](https://github.com/acgetchell/la-stack/commit/480e61b85638fb044edccd8116eec777f5588f7d) + + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.78.3 to 2.80.0. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/0e01fba183f89b991766ac4092315c09f1acb55c...50b4a718b59c718df4ef27a3b445f86cd57b9f00) +- Bump codecov/codecov-action from 6.0.0 to 6.0.1 [`3ca8eed`](https://github.com/acgetchell/la-stack/commit/3ca8eed89997379e6cbad863ecc274bba1651749) + + Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 6.0.0 to 6.0.1. + + - [Release notes](https://github.com/codecov/codecov-action/releases) + - [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/codecov/codecov-action/compare/57e3a136b779b570ffcdbf80b3bdc90e7fab3de2...e79a6962e0d4c0c17b229090214935d2e33f8354) + +### Documentation + +- Document feature requirement for exact APIs [`19b10d5`](https://github.com/acgetchell/la-stack/commit/19b10d552e83b6a7f9e91695b4850b8fab3f4550) +- Document scalar scope and release roadmap [`bfb0393`](https://github.com/acgetchell/la-stack/commit/bfb039386588f94b95561c610181ca6d486acd6e) + + - Clarify that la-stack intentionally supports f64 floating-point APIs plus optional exact rationals, not alternate scalar families. + - Add a roadmap covering the v0.4.x stable-Rust issue sequence and the v0.5.0 generic_const_exprs anchor. + - Refresh generated changelog entries and archived changelog grouping. +- Document finite RHS solve validation [`075aed7`](https://github.com/acgetchell/la-stack/commit/075aed78cf8264fc920258f1f1d977ddd589ffd7) + + - Document that LU and LDLT solve_vec reject non-finite RHS entries with LaError::NonFinite metadata. + - Cite the Bareiss reference in the exact solve helper docs and describe exact-arithmetic growth and complexity. + - Cover finite proof defaults and non-finite RHS solve boundaries in unit tests. +- Clarify finite solve and norm guarantees [`fb71485`](https://github.com/acgetchell/la-stack/commit/fb71485cac0b464b2fa9ee949140a558b7738781) + + - State that LU and LDLT solve_vec use floating-point substitution without a certified absolute rounding-error bound. + - Clarify that inf_norm reports NonFinite for unchecked stored NaN/∞ as well as row-sum overflow. + - Exercise the unchecked finite-proof fixture path directly in exact tests. +- Update v0.4.2 release notes [`7e11f93`](https://github.com/acgetchell/la-stack/commit/7e11f930b94bbba99c1c426e68a515bbefb8c489) + +### Fixed + +- Reject overflowed symmetry tolerance scaling [`a7b052a`](https://github.com/acgetchell/la-stack/commit/a7b052af5dc6361198bbfe1e17d6b1f0ba225ed7) + + - Enforce the tolerance contract around symmetry checks by surfacing scaled + tolerance overflow as a typed non-finite intermediate error. + - Document finite, non-negative tolerance requirements across tolerance-taking + matrix APIs. + - Add regression coverage for invalid tolerance construction and symmetry + tolerance overflow. + - Update exact examples to propagate typed crate errors instead of unwrapping. +- Harden Semgrep fixture parsing [`ac44c07`](https://github.com/acgetchell/la-stack/commit/ac44c078cc4435d5beca27f1890fbb4046cf5952) + + - Ignore non-canonical todoruleid annotations when counting expected rule hits. + - Reject malformed Semgrep JSON results with clear stderr diagnostics instead of propagating KeyError. +- Revalidate finite proof conversions [`419a90f`](https://github.com/acgetchell/la-stack/commit/419a90f7267608051736498154ac5e6faf0909c5) + + Ensure internal finite proof conversions cannot accept raw Matrix or Vector storage without checking the invariant. + + - Revalidate TryFrom<Matrix<D>> and TryFrom<Vector<D>> before constructing finite wrappers. + - Measure exact random percentile benchmarks over repeated corpus timings and cumulative input sets. + - Tighten Codecov status thresholds and extend benchmark workflow timeout. + - Keep Semgrep constructor fixtures aligned with public API guardrails. +- Revalidate public compute inputs [`ffca00e`](https://github.com/acgetchell/la-stack/commit/ffca00e9dd6fde5e57c8064f69807a76e45a469e) + + - Parse Matrix and Vector storage into private finite proof-bearing types at public compute boundaries. + - Reject unchecked non-finite storage before LU, LDLT, determinant, norm, dot, and exact-arithmetic paths can proceed. + - Keep unchecked proof-wrapper constructors crate-private for internal paths with local finiteness proofs. + - Document the private proof-bearing invariant model in the API overview and roadmap. + +### Maintenance + +- Migrate coverage to cargo-llvm-cov [`66f2117`](https://github.com/acgetchell/la-stack/commit/66f21173344033b3003dd6e46b8400b08e6fdd40) +- Align shared security and release tooling [`b303509`](https://github.com/acgetchell/la-stack/commit/b3035095964d9491f0a3d5c4fb790ab5c22cd06f) + + - Run CI through pinned uv and cached Cargo tooling across all supported platforms. + - Add repository Semgrep rules, action allowlist coverage, CodeQL, zizmor, and SARIF workflows. + - Raise the Rust and Python tooling floors to Rust 1.96 and Python 3.12. + - Add archive-aware changelog generation, post-processing, and tag-release tooling. + - Preserve exact arithmetic overflow reporting without non-finite sentinel defaults. +- Modernize tooling checks and example execution [`da626bc`](https://github.com/acgetchell/la-stack/commit/da626bcca899aa91d58f728db433a53a46179e92) + + - Run examples from prebuilt binaries instead of invoking cargo run for each example. + - Add check/fix recipe aliases and guard documented command ordering with Semgrep. + - Document the Rust-native Markdown, YAML, TOML, spelling, and workflow action policy. + - Tighten Python/tooling setup by pinning pytest, using .python-version in CI, and hardening setup-tool version checks. + - Keep CI running the full just ci workflow across Ubuntu, macOS, and Windows. + +### Performance + +- Restore checked factorization throughput [`f2e6d56`](https://github.com/acgetchell/la-stack/commit/f2e6d560bd1cb327ff0616644ef704a865520e32) + + - Move LU and LDLT non-finite factor checks out of cubic update loops while preserving completed-storage validation before factors escape. + - Borrow factor rows and finite vector arrays in solve, dot, and norm paths to avoid avoidable copies. + - Refresh v0.4.2 release artifacts, LU solve benchmark docs, and release workflow docs. + - Preserve README benchmark table spacing in the Criterion plot updater. + +## [0.4.1] - 2026-04-21 + +### Merged Pull Requests + +- Propagate NaN in Matrix::inf_norm [#85](https://github.com/acgetchell/la-stack/pull/85) +- Add adversarial-input coverage for exact arithmetic [#80](https://github.com/acgetchell/la-stack/pull/80) +- Integer-only forward elimination for gauss_solve [#72](https://github.com/acgetchell/la-stack/pull/72) + +### Added + +- Regression tests for solver and determinant overflow handling + [`f763b11`](https://github.com/acgetchell/la-stack/commit/f763b119bcc57276b83f370b0bf7abce654c7eb8) + + Add test cases to verify that LDLT and LU solvers, as well as determinant + calculations, correctly detect and return `LaError::NonFinite` when + intermediate calculations overflow to infinity despite having finite + inputs. +- Defensive-path test coverage for LU and LDLT solve_vec [`87d426f`](https://github.com/acgetchell/la-stack/commit/87d426fca1627445b804fd26b62fc7d9d4f0ae48) + + Add unit tests to exercise internal safety nets in the LU and LDLT + diagonal solve routines. These tests manually construct factors with + invalid diagonals (NaN or sub-tolerance) to verify that solve_vec + correctly surfaces NonFinite and Singular errors, even though these + states are unreachable via the standard factorization APIs. +- Const-ify Lu/Ldlt det + solve_vec and Matrix inf_norm + det_errbound + [`81ecb35`](https://github.com/acgetchell/la-stack/commit/81ecb35bdaf159f1f44d1eb24274ecf82c6567d5) + + Make six public methods `const fn`, completing const-evaluation parity + with `Matrix::det_direct` and `Vector::dot` now that MSRV 1.95 exposes + `f64::mul_add` as const (1.94) and `core::hint::cold_path` as const + (1.95): + + - `Lu::det`, `Lu::solve_vec` + - `Ldlt::det`, `Ldlt::solve_vec` + - `Matrix::inf_norm`, `Matrix::det_errbound` + + Iterator chains (`.iter().map().sum()`, `.enumerate().take(i)`, + `.enumerate().skip(i + 1)`, `.iter_mut().enumerate().take(D)`) were + rewritten as `while` loops since they are not const-stable. + + Fix error-variant correctness in both solve_vec paths: + - A corrupt stored `U` / `D` diagonal at `(i, i)` now surfaces as + `LaError::NonFinite { row: Some(i), col: i }`, matching the + convention used by `Matrix::det`, `Lu::factor`, and `Ldlt::factor`. + - A computed-intermediate overflow keeps `row: None, col: i`. + - Previously both were conflated into `row: None, col: i`, defeating + debuggability for callers who construct factorizations directly. + + Sharpen `LaError::NonFinite` variant docs and the `# Errors` sections of + `Lu::solve_vec` / `Ldlt::solve_vec` to spell out the `(row, col)` + contract for each failure mode. +- Fast-filter boundary proptests for exact determinant sign [`6357db3`](https://github.com/acgetchell/la-stack/commit/6357db35c70bca1b93e6bbf9a4fd231913631950) + + Introduce proptests to verify that the floating-point determinant sign + matches the exact sign whenever the error bound is satisfied. This + validates the correctness of the Shewchuk-style filter used in determinant + calculations. + + Additionally, improve test reliability by correcting the diagonal dominance + calculation to properly account for the maximum off-diagonal magnitude and + refactor matrix-vector multiplication helpers to use idiomatic iterators. + +### Changed + +- Finalize documentation, benchmarks, and error handling [`0b98d3f`](https://github.com/acgetchell/la-stack/commit/0b98d3f6dbdd74699c318c4744a2b2f9a1b78481) + + Synchronize the CHANGELOG, README, and REFERENCES for the upcoming release. + This includes documenting the new absolute error bound coefficients for + determinants, adding a dedicated section for AI agent governance, and + refining internal error helpers to use a more consistent coordinate + convention for non-finite values. +- Consolidate and expand const-evaluability tests via macros [`f8d80a0`](https://github.com/acgetchell/la-stack/commit/f8d80a01e9913f87e1b19b2ad5ffbc0994e2bfdb) + + Refactor manual const-evaluation tests in `Ldlt` and `Matrix` into macros + to standardize coverage across matrix dimensions 2 through 5. This + ensures all determinant and norm variants are fully exercised at compile + time. +- Refactor solve_exact to use hybrid Bareiss forward elimination + [`ecbbe8a`](https://github.com/acgetchell/la-stack/commit/ecbbe8a571ccaeb9cfedbf0269b8db44d43a5773) + + Migrate the exact linear solver to a hybrid approach that performs O(D³) + forward elimination using fraction-free Bareiss updates on integers, + limiting BigRational arithmetic to the O(D²) back-substitution phase. + This eliminates per-entry GCD overhead during elimination. Internal f64 + decomposition is unified via f64_decompose, and f64_to_bigrational is + moved to test scope. +- Polish exact module (Component struct, errors, perf) [`53a5be6`](https://github.com/acgetchell/la-stack/commit/53a5be6abecc0af332398236ed6803ed75564b03) + + Major refactor of `src/exact.rs`: + + - Extract shared Bareiss primitives (`decompose_matrix`, `decompose_vec`, + `component_to_bigint`, `build_bigint_matrix`, `build_bigint_vec`, + `bareiss_forward_eliminate`) so `bareiss_det_int` and `gauss_solve` + share a single integer-Bareiss core. + - Hybrid BigInt/BigRational solve: forward elimination runs entirely in + `BigInt` with fraction-free Bareiss updates on `(A | b)`; only the + `O(D²)` back-substitution phase lifts into `BigRational`. + - `mem::take` in back-substitution eliminates per-entry `clone()` calls + on `rhs[i]`, `a[i][j]`, `a[i][i]`. + + Structured errors replace preconditions: + - `decompose_matrix` / `decompose_vec` fold `is_finite()` into the same + pass that decomposes each entry and return + `Err(LaError::NonFinite { row, col })` on the first non-finite cell. + - `bareiss_det_int`, `bareiss_det`, `gauss_solve` now return + `Result<_, LaError>`; error propagates to every public entry point via + `?`. + - `validate_finite` and `validate_finite_vec` removed (dead after the + refactor); `det_sign_exact` relies on IEEE 754 NaN/∞ propagation + through `det_direct()` plus `bareiss_det_int` for Stage-2 validation. +- Add adversarial-input coverage for exact arithmetic [#80](https://github.com/acgetchell/la-stack/pull/80) + [`5bf5815`](https://github.com/acgetchell/la-stack/commit/5bf5815cb165c3b6145c5592420a58085a66efaa) + + Expand benchmark, unit-test, and proptest coverage of the exact-arithmetic + APIs to catch tail cases that fixed well-conditioned inputs miss. + + Benchmarks (benches/exact.rs): + + - Factor out `bench_extreme_group` helper running the same four benches + (`det_sign_exact`, `det_exact`, `solve_exact`, `solve_exact_f64`) so + adversarial groups are directly comparable. + - Extend `exact_near_singular_3x3` with the two solve benches (the + primary motivating use case for exact solve was previously unmeasured). + - Add `exact_large_entries_3x3` (entries near `f64::MAX / 2`) to stress + intermediate BigInt growth during Bareiss forward elimination. + - Add `exact_hilbert_4x4` / `exact_hilbert_5x5` to stress the + `f64_decompose → BigInt` scaling path on ill-conditioned inputs. + - Tighten bench `expect(...)` messages to name the invariant each call + relies on (e.g. "non-singular matrix with finite entries") so panics + identify both where (Criterion bench name) and why. + + Unit tests (src/exact.rs): + - `solve_exact_near_singular_3x3_integer_x0` — integer-x0 round-trip + through the 2^-50-perturbed matrix. + - `solve_exact_large_entries_3x3_unit_vector` — `A·[1,0,0] = [big,1,1]` + round-trip with `f64::MAX/2` diagonal. + - `det_sign_exact_large_entries_3x3_positive` — asserts the fast filter + falls through (`det_direct` is non-finite) and `det_exact_f64` returns + `Overflow { index: None }`. + - `det_sign_exact_hilbert_positive_{3,4,5}d` — Hilbert is SPD, sign = 1. + - `solve_exact_hilbert_residual_{3,4,5}d` — residual `A·x - b` is exactly + zero in `BigRational`, stronger than integer round-trips since Hilbert + entries are non-terminating in binary. + + Proptests (tests/proptest_exact.rs): + - `solve_exact_integer_roundtrip_{2..5}d` — random diagonally-dominant + integer `A` and small-integer `x0`, verify `solve(A, A·x0) == x0` exactly. + - `solve_exact_residual_{2..5}d` — random `A` + small-integer `b`, verify + `A · solve(A, b) == b` exactly (catches back-sub bugs on fractional + solutions). + - `det_sign_exact_agrees_with_det_exact_{2..5}d` — on full (non-diagonal) + small-integer matrices, asserts `det_sign_exact() == det_exact().sign()` + (exercises the filter/fallback boundary previously only diagonal-tested). + + Prelude (src/lib.rs): + - Re-export `BigInt` alongside `BigRational` (crate root + prelude). + - Re-export `FromPrimitive`, `Signed`, `ToPrimitive` from `num-traits` in + the prelude so the re-exported `BigRational` is actually usable for + construction (`from_f64`, `from_i64`) and sign queries without forcing + downstream users to add `num-bigint` / `num-rational` / `num-traits` to + their own Cargo.toml. Additive; no public API breaks. + + Tooling (scripts/bench_compare.py + test_bench_compare.py): + - Register the three new adversarial groups in `EXACT_GROUPS`. + - Extend `_group_heading` with human-readable titles + ("Large entries 3x3", "Hilbert 4x4", "Hilbert 5x5"). + - Add group-heading unit tests for the new cases. + + Test results (`just ci`): + - cargo test --features exact: 368 lib + 20 proptest_exact + 40 other + proptests + 34 doc-tests — all pass + - cargo test (no features): 175 lib + 40 proptests + 29 doc-tests — all pass + - Python: 104 tests pass (ty, mypy, ruff clean) + - Clippy (pedantic + nursery + cargo, `-D warnings`): clean + - fmt, taplo, yamllint, shellcheck, spell-check, bench-compile, examples: clean +- Expand exact-arithmetic re-exports and adversarial benchmarks + [`b1a491d`](https://github.com/acgetchell/la-stack/commit/b1a491d902ccdaba6f9cd2e6f8e05514b6dfa3de) + + Update the `exact` feature to re-export `BigInt` and essential `num-traits` + (FromPrimitive, ToPrimitive, Signed) alongside `BigRational`. This + simplifies downstream usage by removing the need for direct dependencies + on the `num` ecosystem for common operations. + + Additionally, formalize adversarial-input benchmarking for near-singular, + large-entry, and Hilbert matrices to better track performance on + ill-conditioned data. CI benchmark comparisons are now more resilient to + newly added benchmarks via `--baseline-lenient`. +- Update AGENTS.md [`1e0648d`](https://github.com/acgetchell/la-stack/commit/1e0648dad3147ef127c775d8969b7cd214a2a6ed) + +### Dependencies + +- Bump taiki-e/install-action from 2.73.0 to 2.75.7 [`a1d1c1e`](https://github.com/acgetchell/la-stack/commit/a1d1c1edba7d5bf6928de4e8cab86ba853685430) + + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.73.0 to 2.75.7. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/7a562dfa955aa2e4d5b0fd6ebd57ff9715c07b0b...0abfcd587b70a713fdaa7fb502c885e2112acb15) +- Bump actions/download-artifact from 4.3.0 to 8.0.1 [`8772ea2`](https://github.com/acgetchell/la-stack/commit/8772ea2f18cf1b94a21e269b4bc0c8e0a3b650eb) + + Bumps [actions/download-artifact](https://github.com/actions/download-artifact) from 4.3.0 to 8.0.1. + + - [Release notes](https://github.com/actions/download-artifact/releases) + - [Commits](https://github.com/actions/download-artifact/compare/d3f86a106a0bac45b974a628896c90dbdf5c8093...3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c) +- Bump rand from 0.9.2 to 0.9.4 [`b91670a`](https://github.com/acgetchell/la-stack/commit/b91670a46f82306dde5433ca7c406a8757e3fc59) + + Bumps [rand](https://github.com/rust-random/rand) from 0.9.2 to 0.9.4. + + - [Release notes](https://github.com/rust-random/rand/releases) + - [Changelog](https://github.com/rust-random/rand/blob/0.9.4/CHANGELOG.md) + - [Commits](https://github.com/rust-random/rand/compare/rand_core-0.9.2...0.9.4) +- Bump actions/upload-artifact from 7.0.0 to 7.0.1 [`7579274`](https://github.com/acgetchell/la-stack/commit/7579274d56ab8c46eae6906c07a3c0d0fd41c84f) + + Bumps [actions/upload-artifact](https://github.com/actions/upload-artifact) from 7.0.0 to 7.0.1. + + - [Release notes](https://github.com/actions/upload-artifact/releases) + - [Commits](https://github.com/actions/upload-artifact/compare/bbbca2ddaa5d8feaa63e36b76fdaad77386f024f...043fb46d1a93c77aae656e7c1c64a875d1fc6a0a) +- Bump actions/github-script from 8.0.0 to 9.0.0 [`a522abd`](https://github.com/acgetchell/la-stack/commit/a522abdabf211d47f0f52cbfc2a349fa72ce87e2) + + Bumps [actions/github-script](https://github.com/actions/github-script) from 8.0.0 to 9.0.0. + + - [Release notes](https://github.com/actions/github-script/releases) + - [Commits](https://github.com/actions/github-script/compare/ed597411d8f924073f98dfc5c65a23a2325f34cd...3a2844b7e9c422d3c10d287c895573f7108da1b3) +- Bump actions/cache from 5.0.4 to 5.0.5 [`b12d95c`](https://github.com/acgetchell/la-stack/commit/b12d95c8ce242ea6014c6a6aaa7845ff501d2e4d) + + Bumps [actions/cache](https://github.com/actions/cache) from 5.0.4 to 5.0.5. + + - [Release notes](https://github.com/actions/cache/releases) + - [Changelog](https://github.com/actions/cache/blob/main/RELEASES.md) + - [Commits](https://github.com/actions/cache/compare/668228422ae6a00e4ad889ee87cd7109ec5666a7...27d5ce7f107fe9357f9df03efb73ab90386fccae) +- Bump actions-rust-lang/setup-rust-toolchain [`c728774`](https://github.com/acgetchell/la-stack/commit/c72877460efba3d598f64ff253d2df8f3695acb1) + + Bumps [actions-rust-lang/setup-rust-toolchain](https://github.com/actions-rust-lang/setup-rust-toolchain) from 1.15.4 to 1.16.0. + + - [Release notes](https://github.com/actions-rust-lang/setup-rust-toolchain/releases) + - [Changelog](https://github.com/actions-rust-lang/setup-rust-toolchain/blob/main/CHANGELOG.md) + - [Commits](https://github.com/actions-rust-lang/setup-rust-toolchain/compare/150fca883cd4034361b621bd4e6a9d34e5143606...2b1f5e9b395427c92ee4e3331786ca3c37afe2d7) +- Bump astral-sh/setup-uv from 8.0.0 to 8.1.0 [`7a18733`](https://github.com/acgetchell/la-stack/commit/7a18733ba0f39102678bbe30772fcde10f20e9d8) + + Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 8.0.0 to 8.1.0. + + - [Release notes](https://github.com/astral-sh/setup-uv/releases) + - [Commits](https://github.com/astral-sh/setup-uv/compare/cec208311dfd045dd5311c1add060b2062131d57...08807647e7069bb48b6ef5acd8ec9567f424441b) +- Bump taiki-e/install-action from 2.75.7 to 2.75.18 [`433cfc1`](https://github.com/acgetchell/la-stack/commit/433cfc1b01c9128e93c82cb553aa63d4091bace3) + + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.75.7 to 2.75.18. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/0abfcd587b70a713fdaa7fb502c885e2112acb15...055f5df8c3f65ea01cd41e9dc855becd88953486) + +### Documentation + +- Strengthen LDLT symmetry precondition and add is_symmetric API + [`1693307`](https://github.com/acgetchell/la-stack/commit/1693307c58e30a804e9b79abc783af99be8dc947) + + LDLT factorization assumes the input matrix is symmetric, but the contract + was only implied by one sentence in the module and struct docs. Asymmetric + inputs silently produce mathematically meaningless factorizations in + release builds (the `debug_assert_symmetric` check is compiled out), and + callers had no supported way to validate symmetry up front. + +### Fixed + +- Propagate NaN in Matrix::inf_norm [#85](https://github.com/acgetchell/la-stack/pull/85) + [`16ffa45`](https://github.com/acgetchell/la-stack/commit/16ffa45ade11b21a179cad8fcecc51d802086a1d) +- Report infinite vs finite off-diagonal pairs as asymmetric [`1805779`](https://github.com/acgetchell/la-stack/commit/1805779dbca49183fbfa95c68ec00984966aa551) + + Update Matrix::first_asymmetry to flag any non-finite difference between + off-diagonal pairs as an asymmetry. This prevents cases where a single + infinite entry paired with a finite entry would incorrectly pass as + symmetric because the matrix's infinite norm blew the tolerance up to + infinity, making the comparison `diff > eps` return false. + +### Maintenance + +- Bump MSRV to Rust 1.95 and adopt new stable features [`0ab3c33`](https://github.com/acgetchell/la-stack/commit/0ab3c336074f2b866256fbe5db8a8ec5306d580a) + + - Bump rust-version to 1.95 in Cargo.toml + - Bump channel to 1.95.0 in rust-toolchain.toml + - Add core::hint::cold_path() hints at cold/error branches: + - src/exact.rs: validate_finite, validate_finite_vec, gauss_solve + singular return, det_exact_f64 / solve_exact_f64 overflow returns, + det_sign_exact Stage 2 Bareiss fallback + - src/lu.rs: Lu::factor and Lu::solve_vec NonFinite / Singular returns + - src/ldlt.rs: Ldlt::factor and Ldlt::solve_vec NonFinite / Singular + returns + - src/matrix.rs: det_direct D >= 5 fallback arm (legal because + cold_path is const fn in 1.95) and det NonFinite / overflow scan + - Refactor det_sign_exact Stage 1 fast filter to use match + if let + guard with let-chain, replacing the tuple destructure; semantics + unchanged + + Test results (local `just ci`): + - cargo fmt --all -- --check: clean + - cargo clippy --workspace --all-targets --all-features + -D warnings -W clippy::pedantic -W clippy::nursery -W clippy::cargo: + clean + - cargo test --features exact --lib: 258 passed, 0 failed + - cargo test --features exact (doctests + examples): 31 passed, 0 failed + - RUSTDOCFLAGS='-D warnings' cargo doc --no-deps --features exact: clean + - python tests: 101 passed + +### Performance + +- Integer-only forward elimination for gauss_solve [#72](https://github.com/acgetchell/la-stack/pull/72) + [`a1d3bdb`](https://github.com/acgetchell/la-stack/commit/a1d3bdbdb6fcb778a78a2a3d0cb66b79484e1472) + + Replace BigRational-only gauss_solve with a hybrid that runs + Bareiss fraction-free forward elimination in BigInt on the + augmented (A | b) system, then back-substitutes in BigRational. + Eliminates GCD normalization from the O(D^3) phase while keeping + rational overhead limited to the cheaper O(D^2) back-sub. + + Scope f64_to_bigrational to cfg(test); production code paths now + use f64_decompose directly (shared with bareiss_det_int). + + Closes #72 + + Co-Authored-By: Oz + +## [0.4.0] - 2026-04-11 + +### Merged Pull Requests + +- Integer-only Bareiss determinant via BigInt [#64](https://github.com/acgetchell/la-stack/pull/64) +- Custom f64 → BigRational via IEEE 754 bit decomposition [#63](https://github.com/acgetchell/la-stack/pull/63) + +### Added + +- Add benchmark comparison tool and performance documentation + [`d448fc3`](https://github.com/acgetchell/la-stack/commit/d448fc3e3c884d6145580e5a40eb265bf1f83cb8) + + Introduce a Python script to compare Criterion results across baselines + and generate markdown reports. Integrate performance snapshots into the + release workflow and add justfile recipes for baseline management to + track exact arithmetic performance. + +### Changed + +- Update version to 0.3.0 and refine metadata keywords [`cc0e967`](https://github.com/acgetchell/la-stack/commit/cc0e967aedb4eabbcd98714b16ef67a8290c112e) + + Update CITATION.cff to reflect the v0.3.0 release. Keywords are updated to + include exact arithmetic and robust predicates, with existing terms + standardized to kebab-case. +- Refine benchmark comparison reporting and documentation [`e1b5955`](https://github.com/acgetchell/la-stack/commit/e1b5955fb5024232e34e9df9701bb24fb98efa15) + + Refactor the `bench_compare.py` script to group results by dimension and + add a new test suite. Consolidate all benchmarking workflows into a new + dedicated guide and move machine-specific performance snapshots to + `.gitignore`. +- Expand test coverage for benchmark comparison edge cases [`bced7d9`](https://github.com/acgetchell/la-stack/commit/bced7d988bd2f42cb6bb5af9c54dabdcf787a5fc) +- Update documentation and tests for integer-only Bareiss [`2ee3f05`](https://github.com/acgetchell/la-stack/commit/2ee3f05caecfdf1a23b61257a7465b3bb6d63614) + + Update architecture descriptions in AGENTS.md and REFERENCES.md to + reflect the move from BigRational to integer-only BigInt arithmetic. + Add unit tests for bareiss_det_int covering negative inputs and pivot + swapping. Refine gh CLI patterns for automated issue listing. +- Restrict benchmark baselines to main and improve reporting [`9a7caa2`](https://github.com/acgetchell/la-stack/commit/9a7caa241b5f476c2659772f3189468b10fcba2e) + + Update internal CI logic to ensure Criterion baselines are only saved + and uploaded for the main branch. Add error handling to regression + reporting to provide clear feedback when comparison data is missing. + +### Dependencies + +- Bump astral-sh/setup-uv from 7.3.1 to 7.5.0 [`0505061`](https://github.com/acgetchell/la-stack/commit/050506123b1da9bc79b04e7d8b44d8195d115199) + + Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 7.3.1 to 7.5.0. + + - [Release notes](https://github.com/astral-sh/setup-uv/releases) + - [Commits](https://github.com/astral-sh/setup-uv/compare/5a095e7a2014a4212f075830d4f7277575a9d098...e06108dd0aef18192324c70427afc47652e63a82) +- Bump taiki-e/install-action from 2.68.25 to 2.68.31 [`dcff501`](https://github.com/acgetchell/la-stack/commit/dcff501354df2e6434fd6f817a7c15b86a40685f) + + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.68.25 to 2.68.31. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/a37010ded18ff788be4440302bd6830b1ae50d8b...a57ddfbcd928cf9406a78dcc300dacc5d367a547) +- Bump actions-rust-lang/setup-rust-toolchain [`4678d2e`](https://github.com/acgetchell/la-stack/commit/4678d2e8b121c3116d638b59b03eca95510888fe) + + Bumps [actions-rust-lang/setup-rust-toolchain](https://github.com/actions-rust-lang/setup-rust-toolchain) from 1.15.3 to 1.15.4. + + - [Release notes](https://github.com/actions-rust-lang/setup-rust-toolchain/releases) + - [Changelog](https://github.com/actions-rust-lang/setup-rust-toolchain/blob/main/CHANGELOG.md) + - [Commits](https://github.com/actions-rust-lang/setup-rust-toolchain/compare/a0b538fa0b742a6aa35d6e2c169b4bd06d225a98...150fca883cd4034361b621bd4e6a9d34e5143606) +- Bump actions/cache from 5.0.3 to 5.0.4 [`633c6e2`](https://github.com/acgetchell/la-stack/commit/633c6e234dc4a94744fa433f41bceb84efe1c99c) + + Bumps [actions/cache](https://github.com/actions/cache) from 5.0.3 to 5.0.4. + + - [Release notes](https://github.com/actions/cache/releases) + - [Changelog](https://github.com/actions/cache/blob/main/RELEASES.md) + - [Commits](https://github.com/actions/cache/compare/cdf6c1fa76f9f475f3d7449005a359c84ca0f306...668228422ae6a00e4ad889ee87cd7109ec5666a7) +- Bump taiki-e/install-action from 2.68.34 to 2.69.6 [`89a306b`](https://github.com/acgetchell/la-stack/commit/89a306b64bf586ec201957953afac0a3d9c13eb7) + + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.68.34 to 2.69.6. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/de6bbd1333b8f331563d54a051e542c7dfef81c3...06203676c62f0d3c765be3f2fcfbebbcb02d09f5) +- Bump astral-sh/setup-uv from 7.5.0 to 7.6.0 [`676a6ff`](https://github.com/acgetchell/la-stack/commit/676a6ffe3df416ab316daa84119161893eeeadd0) + + Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 7.5.0 to 7.6.0. + + - [Release notes](https://github.com/astral-sh/setup-uv/releases) + - [Commits](https://github.com/astral-sh/setup-uv/compare/e06108dd0aef18192324c70427afc47652e63a82...37802adc94f370d6bfd71619e3f0bf239e1f3b78) +- Bump codecov/codecov-action from 5.5.2 to 5.5.3 [`2c15dc1`](https://github.com/acgetchell/la-stack/commit/2c15dc1a0c93f75dd23e0d540041bc01f2e3b71a) + + Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 5.5.2 to 5.5.3. + + - [Release notes](https://github.com/codecov/codecov-action/releases) + - [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/codecov/codecov-action/compare/671740ac38dd9b0130fbe1cec585b89eea48d3de...1af58845a975a7985b0beb0cbe6fbbb71a41dbad) +- Bump the dependencies group with 2 updates [`23ade13`](https://github.com/acgetchell/la-stack/commit/23ade1343e575edead08ab49a4e361c9e37f5ca0) + + Bumps the dependencies group with 2 updates: [nalgebra](https://github.com/dimforge/nalgebra) and [proptest](https://github.com/proptest-rs/proptest). + + Updates `nalgebra` from 0.34.1 to 0.34.2 + + - [Changelog](https://github.com/dimforge/nalgebra/blob/main/CHANGELOG.md) + - [Commits](https://github.com/dimforge/nalgebra/commits) + + Updates `proptest` from 1.10.0 to 1.11.0 + - [Release notes](https://github.com/proptest-rs/proptest/releases) + - [Changelog](https://github.com/proptest-rs/proptest/blob/main/CHANGELOG.md) + - [Commits](https://github.com/proptest-rs/proptest/compare/v1.10.0...v1.11.0) +- Bump taiki-e/install-action from 2.69.6 to 2.70.1 [`4073197`](https://github.com/acgetchell/la-stack/commit/40731976f465f69bacb0a6dc4b8520fb9bc9c8f4) + + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.69.6 to 2.70.1. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/06203676c62f0d3c765be3f2fcfbebbcb02d09f5...fd0f63e180a477d7434580b6d80817978b9ff2b8) +- Bump codecov/codecov-action from 5.5.3 to 6.0.0 [`b3e1380`](https://github.com/acgetchell/la-stack/commit/b3e1380e0b8df85478648036eeb1d9b2c79aaac5) + + Bumps [codecov/codecov-action](https://github.com/codecov/codecov-action) from 5.5.3 to 6.0.0. + + - [Release notes](https://github.com/codecov/codecov-action/releases) + - [Changelog](https://github.com/codecov/codecov-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/codecov/codecov-action/compare/1af58845a975a7985b0beb0cbe6fbbb71a41dbad...57e3a136b779b570ffcdbf80b3bdc90e7fab3de2) +- Bump taiki-e/install-action from 2.70.1 to 2.73.0 [`7de720d`](https://github.com/acgetchell/la-stack/commit/7de720dfb8328d01843cfabd15d23086ee98832b) + + Bumps [taiki-e/install-action](https://github.com/taiki-e/install-action) from 2.70.1 to 2.73.0. + + - [Release notes](https://github.com/taiki-e/install-action/releases) + - [Changelog](https://github.com/taiki-e/install-action/blob/main/CHANGELOG.md) + - [Commits](https://github.com/taiki-e/install-action/compare/fd0f63e180a477d7434580b6d80817978b9ff2b8...7a562dfa955aa2e4d5b0fd6ebd57ff9715c07b0b) +- Bump astral-sh/setup-uv from 7.6.0 to 8.0.0 [`af40753`](https://github.com/acgetchell/la-stack/commit/af40753130fac56d48da7fce2f18b11dc391ebe6) + + Bumps [astral-sh/setup-uv](https://github.com/astral-sh/setup-uv) from 7.6.0 to 8.0.0. + + - [Release notes](https://github.com/astral-sh/setup-uv/releases) + - [Commits](https://github.com/astral-sh/setup-uv/compare/37802adc94f370d6bfd71619e3f0bf239e1f3b78...cec208311dfd045dd5311c1add060b2062131d57) + +### Fixed + +- Improve non-finite error reporting and coordinate accuracy [`d4b1452`](https://github.com/acgetchell/la-stack/commit/d4b14524a02b49a1a8e832818913ab875c4e5fe0) + + Refine error reporting by ensuring correct column indices in LDLT + decomposition and LU back-substitution. Add missing finiteness checks to + LU solve paths and update determinant calculations to provide specific + row/column coordinates for non-finite inputs. + +### Maintenance + +- Add performance regression detection for exact-arithmetic benchmarks + [`44bce99`](https://github.com/acgetchell/la-stack/commit/44bce99bcae8f852dbf7500e71fa182730e08bca) + + Add a GitHub Actions workflow that detects performance regressions in + the exact-arithmetic benchmark suite on PRs and pushes to main. + + - On push to main: run exact benchmarks, save Criterion baseline as + artifact (30-day retention) + - On PRs: find latest main baseline artifact, download, run benchmarks + with --baseline comparison, report regressions in job summary + - Regressions are warning-only — the workflow never blocks PRs + - Uses artifact-based baselines (not cache) for robustness: explicit + provenance, no silent eviction, fork-safe + - Validated locally: --save-baseline and --baseline flags confirmed + working with Criterion + +### Performance + +- Stack-backed storage for exact arithmetic kernels [`b64ac60`](https://github.com/acgetchell/la-stack/commit/b64ac60e286bcdc1c21334ab271e6ffacfadc187) + + Replace heap-allocated Vec<Vec<BigRational>> with stack-backed + [[BigRational; D]; D] arrays in bareiss_det and gauss_solve, and return + [BigRational; D] from gauss_solve directly — eliminating per-call heap + traffic and a redundant clone in solve_exact. + + Exact kernel changes (src/exact.rs): + + - bareiss_det: Vec<Vec<BigRational>> → [[BigRational; D]; D] via + std::array::from_fn + - gauss_solve: Vec<Vec<BigRational>> augmented matrix → separate + [[BigRational; D]; D] + [BigRational; D] (avoids unstable + const-generic [T; D+1]) + - gauss_solve return type: Vec<BigRational> → [BigRational; D] + - solve_exact: drop intermediate clone, forward array directly + + Error enrichment (src/lib.rs, src/lu.rs, src/ldlt.rs, src/matrix.rs, + src/exact.rs): + - LaError::NonFinite gains row: Option<usize> for full (row, col) + location on matrix inputs; None for vectors/intermediates + - LaError::Overflow becomes a struct variant with index: Option<usize> + to identify which solution component overflowed + - Display messages updated to show positional context +- Custom f64 → BigRational via IEEE 754 bit decomposition [#63](https://github.com/acgetchell/la-stack/pull/63) + [`0a8ce5b`](https://github.com/acgetchell/la-stack/commit/0a8ce5b45e21fa88e4e9832bc6ada38b3ba68eeb) + + Replace `BigRational::from_float(x)` in `f64_to_bigrational` with manual + IEEE 754 binary64 bit decomposition and `BigRational::new_raw`, bypassing + the unnecessary GCD normalization that `from_float` performs internally. + + - Decompose f64 into sign, biased exponent, and significand fields + - Strip trailing zeros from the significand so the fraction is already + in lowest terms (odd numerator over power-of-two denominator) + - Handle zero (±0.0), subnormals, and normal values; panic on NaN/Inf + - Add 15 dedicated unit tests: ±zero, integers, fractions, powers of + two, subnormals, round-trip fidelity, lowest-terms, and panic cases + - Add IEEE 754-2019 [9] and Goldberg [10] references to REFERENCES.md + - Add module-level and function-level doc citations +- Integer-only Bareiss determinant via BigInt [#64](https://github.com/acgetchell/la-stack/pull/64) + [`d422b25`](https://github.com/acgetchell/la-stack/commit/d422b251ca86a914522f80285964d4513bca1817) + + Replace the BigRational Bareiss determinant with a pure BigInt path: + all f64 entries are decomposed into mantissa × 2^exponent, scaled to + a common integer base, and eliminated without any rational arithmetic. + The result is reconstructed as BigRational only at the end. + + - Add f64_decompose helper (extracted from f64_to_bigrational) + - Add bareiss_det_int: integer-only Bareiss returning (BigInt, i32) + - Add bigint_exp_to_bigrational: reconstruction with trailing-zero + reduction (no full GCD needed) + - Refactor bareiss_det as thin wrapper over bareiss_det_int + - Optimize det_sign_exact to read sign from BigInt directly + (skip BigRational reconstruction entirely) + - Import std::array::from_fn for shorter call sites + - Replace clippy cast suppression with exact try_from conversions + - Update AGENTS.md with non-interactive gh CLI patterns + - 24 new tests (256 total): f64_decompose, bareiss_det_int (D=0–5, + fractional, all-zeros, sign), bigint_exp_to_bigrational (positive/ + negative exp, reduction, negative values) + + Performance (vs pre-bigint baseline on Apple M4 Max): + det_exact: 16x (D=2) → 39x (D=5) faster + det_exact_f64: 10x (D=2) → 38x (D=5) faster + det_sign_exact: 40x at D=5 (bypasses BigRational entirely) + Near-singular: 18x faster + +[0.4.6]: https://github.com/acgetchell/la-stack/compare/v0.4.5...v0.4.6 +[0.4.5]: https://github.com/acgetchell/la-stack/compare/v0.4.4...v0.4.5 +[0.4.4]: https://github.com/acgetchell/la-stack/compare/v0.4.3...v0.4.4 +[0.4.3]: https://github.com/acgetchell/la-stack/compare/v0.4.2...v0.4.3 +[0.4.2]: https://github.com/acgetchell/la-stack/compare/v0.4.1...v0.4.2 +[0.4.1]: https://github.com/acgetchell/la-stack/compare/v0.4.0...v0.4.1 +[0.4.0]: https://github.com/acgetchell/la-stack/compare/v0.3.0...v0.4.0 diff --git a/docs/assets/bench/vs_linalg_lu_solve_median.csv b/docs/assets/bench/vs_linalg_lu_solve_median.csv index fba3cbc..01e1d19 100644 --- a/docs/assets/bench/vs_linalg_lu_solve_median.csv +++ b/docs/assets/bench/vs_linalg_lu_solve_median.csv @@ -1,9 +1,25 @@ -D,la_stack,la_lo,la_hi,nalgebra,na_lo,na_hi,faer,fa_lo,fa_hi -2,2.0211314276372025,2.018479942281156,2.0445438481191816,4.4787720282632115,4.471223731681299,4.488903340683946,182.53202843068811,182.06757130922546,183.01508533237856 -3,9.976848651948877,9.898381116607712,10.025906395438968,22.79479095228905,22.713611901221796,22.98916653289352,217.56680047835044,216.1785685588016,219.0290055716943 -4,22.101084470745356,22.061056744915724,22.141461025001234,51.73926857369151,51.47900780022614,51.91779016092275,241.52526920712,239.31700735578784,243.22749256395002 -5,46.069581545860736,45.98934031334168,46.10755327054004,69.0025585241594,68.86491194918514,69.16905109997215,326.84830597342926,324.0143975251199,361.58151429914557 -8,128.36396548733447,128.19900330404025,128.65769248327663,165.93327075645942,164.8158130758386,168.9136037004555,401.4003419166195,396.02358647682604,407.0685093415357 -16,643.5320021938804,641.4668189353472,644.9028128940731,569.4458712557102,568.9098484848485,569.9060010943388,903.140053398982,900.3068397120121,905.2987334534953 -32,2755.7729402136074,2752.579773568824,2761.0723724010572,2710.234582397889,2703.7424869037773,2717.3389959916017,2919.2900818850267,2913.423424369748,2925.1436105476673 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Recorded marginal timing intervals; no ratio interval or significance claim. la-stack (v0.5.0): current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb. nalgebra (0.35.0): baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1. faer (0.24.4): baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1. + + +LU solve (factor + solve): median time vs dimension + +Dimension D (linear) +Time (ns, log) +2 +3 +4 +5 +8 +16 +32 +64 + +2.08908 + +18489.9 + + +la-stack (v0.5.0), 2, x=2.0: 2.10359 ns [2.08908, 2.11912] (0.95 confidence); current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb + + +la-stack (v0.5.0), 3, x=3.0: 9.93879 ns [9.92881, 9.95117] (0.95 confidence); current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb + + +la-stack (v0.5.0), 4, x=4.0: 21.7341 ns [21.7035, 21.776] (0.95 confidence); current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb + + +la-stack (v0.5.0), 5, x=5.0: 49.1031 ns [49.0318, 49.1659] (0.95 confidence); current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb + + +la-stack (v0.5.0), 8, x=8.0: 133.665 ns [133.426, 133.861] (0.95 confidence); current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb + + +la-stack (v0.5.0), 16, x=16.0: 750.027 ns [649.969, 761.453] (0.95 confidence); current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb + + +la-stack (v0.5.0), 32, x=32.0: 2829.62 ns [2819.66, 2837.22] (0.95 confidence); current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb + + +la-stack (v0.5.0), 64, x=64.0: 18280.4 ns [18138, 18489.9] (0.95 confidence); current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb + +la-stack (v0.5.0) — current phase, v0.5.0, revision 51868ea4725c1a4790bba4c59341d2113b18b2bb +8 selected; 0 unavailable rows + + + +nalgebra (0.35.0), 2, x=2.0: 4.53894 ns [4.53141, 4.54661] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +nalgebra (0.35.0), 3, x=3.0: 32.9342 ns [32.8554, 33.057] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +nalgebra (0.35.0), 4, x=4.0: 55.0106 ns [54.9217, 55.0615] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +nalgebra (0.35.0), 5, x=5.0: 74.629 ns [74.3476, 74.9906] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +nalgebra (0.35.0), 8, x=8.0: 166.317 ns [166.02, 166.604] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +nalgebra (0.35.0), 16, x=16.0: 589.011 ns [586.474, 592.341] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +nalgebra (0.35.0), 32, x=32.0: 2722.74 ns [2720.98, 2729.21] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +nalgebra (0.35.0), 64, x=64.0: 13835.1 ns [13822.9, 13852.2] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + +nalgebra (0.35.0) — baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 +8 selected; 0 unavailable rows + + + +faer (0.24.4), 2, x=2.0: 154.45 ns [153.658, 155.846] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +faer (0.24.4), 3, x=3.0: 191.85 ns [191.206, 192.814] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +faer (0.24.4), 4, x=4.0: 221.887 ns [221.678, 222.673] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +faer (0.24.4), 5, x=5.0: 272.864 ns [272.009, 273.512] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +faer (0.24.4), 8, x=8.0: 374.912 ns [372.746, 376.096] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +faer (0.24.4), 16, x=16.0: 938.943 ns [932.02, 944.127] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +faer (0.24.4), 32, x=32.0: 3023.87 ns [3017.73, 3030.19] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + + +faer (0.24.4), 64, x=64.0: 12678.8 ns [12660.2, 12699.3] (0.95 confidence); baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 + +faer (0.24.4) — baseline phase, v0.4.6, revision 0215e65763f8eecb4bcad8bf29de4aca67531aa1 +8 selected; 0 unavailable rows + +Statistic: median; recorded marginal timing intervals; no significance test. +Run: 634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5 - diff --git a/docs/performance-runs/README.md b/docs/performance-runs/README.md new file mode 100644 index 0000000..010f676 --- /dev/null +++ b/docs/performance-runs/README.md @@ -0,0 +1,3 @@ +# Complete performance runs + +- [v0.5.0 vs v0.4.6 — 634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5](runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/report.md) diff --git a/docs/performance-runs/index.json b/docs/performance-runs/index.json new file mode 100644 index 0000000..09b3482 --- /dev/null +++ b/docs/performance-runs/index.json @@ -0,0 +1,11 @@ +{ + "runs": [ + { + "baseline": "v0.4.6", + "current": "v0.5.0", + "id": "634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5", + "report_renderer": 2 + } + ], + "schema": "research-repo-tools/run-index/v2" +} diff --git a/docs/performance-runs/latest.json b/docs/performance-runs/latest.json new file mode 100644 index 0000000..dd72aa8 --- /dev/null +++ b/docs/performance-runs/latest.json @@ -0,0 +1,8 @@ +{ + "run": { + "baseline": "v0.4.6", + "current": "v0.5.0", + "id": "634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5" + }, + "schema": "research-repo-tools/latest-run/v1" +} diff --git a/docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/evidence.json b/docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/evidence.json new file mode 100644 index 0000000..06cbb6b --- /dev/null +++ b/docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/evidence.json @@ -0,0 +1,79 @@ +{ + "payload_schema": "research-repo-tools/complete-run/v1", + "payload_sha256": "9b860d8a56a4313d60031039fd518f142c1aa2e74933fc9e73fb128a00023b2a", + "schema": "research-repo-tools/evidence/v1", + "sources": { + "baseline": { + "context": { + "architecture": "arm64", + "baseline-api-compatibility": "none", + "command": "[\"just\", \"--justfile\", \"tooling/performance.just\", \"--working-directory\", \".\", \"baseline-all\"]", + "cpu": "Apple M4 Max (arm64)", + "dependency.criterion": "0.8.2", + "dependency.faer": "0.24.4", + "dependency.nalgebra": "0.35.0", + "environment": "{\"CARGO_TARGET_DIR\": \"target\", \"CRITERION_HOME\": \"target/criterion\", \"RUSTFLAGS\": \"--cap-lints=warn\", \"RUSTUP_TOOLCHAIN\": \"1.99.0\"}", + "fingerprint-schema": "research-repo-tools/files/v1", + "gate-command": "[\"just\", \"--justfile\", \"tooling/performance.just\", \"--working-directory\", \".\", \"gate\"]", + "gate-status": "passed", + "harness-inventory": "[\"Cargo.lock\", \"Cargo.toml\", \"benches/angle.rs\", \"benches/common/angle.rs\", \"benches/common/bench_utils.rs\", \"benches/common/exact.rs\", \"benches/common/exact_diagnostics.rs\", \"benches/common/rational.rs\", \"benches/common/rational_solve.rs\", \"benches/common/vs_linalg.rs\", \"benches/comparison/Cargo.toml\", \"benches/comparison/tests/vs_linalg_inputs.rs\", \"benches/exact.rs\", \"benches/gram.rs\", \"benches/interval.rs\", \"benches/linear_form.rs\", \"benches/rational_solve.rs\", \"benches/vs_linalg.rs\", \"examples/const_det_4x4.rs\", \"examples/det_5x5.rs\", \"examples/exact_det_3x3.rs\", \"examples/exact_sign_3x3.rs\", \"examples/exact_solve_3x3.rs\", \"examples/ldlt_solve_3x3.rs\", \"examples/rational_input_5x5.rs\", \"examples/solve_5x5.rs\", \"rust-toolchain.toml\", \"tests/exact_bench_config.rs\", \"tooling/criterion-inventory.toml\", \"tooling/performance-policy.toml\", \"tooling/performance.just\", \"tooling/performance.toml\"]", + "host": "{\"architecture\": \"arm64\", \"cpu\": \"Apple M4 Max (arm64)\", \"logical_threads\": 16, \"memory_bytes\": 68719476736, \"os\": \"macOS-27.0.1-arm64-arm-64bit-Mach-O\", \"physical_cores\": 16, \"schema\": \"research-repo-tools/host/v1\", \"tools\": {\"cargo\": \"cargo 1.99.0 (5f94df478 2026-08-27)\", \"just\": \"just 1.58.0\", \"rustc\": \"rustc 1.99.0 (b940084d7 2026-09-28)\\nbinary: rustc\\ncommit-hash: b940084d7eb6a299eb4bfeb8e34901bc051e7ac4\\ncommit-date: 2026-09-28\\nhost: aarch64-apple-darwin\\nrelease: 1.99.0\\nLLVM version: 23.1.1\"}}", + "host.logical_threads": "16", + "host.memory_bytes": "68719476736", + "host.physical_cores": "16", + "mode": "tag", + "original-source-inventory": "[\"Cargo.toml\", \"src/error.rs\", \"src/exact.rs\", \"src/gram.rs\", \"src/interval.rs\", \"src/ldlt.rs\", \"src/lib.rs\", \"src/lu.rs\", \"src/matrix.rs\", \"src/norm.rs\", \"src/rational.rs\", \"src/rounding.rs\", \"src/scaled_product.rs\", \"src/tolerance.rs\", \"src/vector.rs\"]", + "original-source-sha256": "d5054a85bd6b163fa142cb94ffc01a217d033893dd9ea8b5e422a442dcbc5074", + "os": "macOS-27.0.1-arm64-arm-64bit-Mach-O", + "phase": "baseline", + "phase-driver": "just-v1", + "release": "v0.4.6", + "scope": "release-signal", + "source-inventory": "[\"Cargo.toml\", \"src/error.rs\", \"src/exact.rs\", \"src/gram.rs\", \"src/interval.rs\", \"src/ldlt.rs\", \"src/lib.rs\", \"src/lu.rs\", \"src/matrix.rs\", \"src/norm.rs\", \"src/rational.rs\", \"src/rounding.rs\", \"src/scaled_product.rs\", \"src/tolerance.rs\", \"src/vector.rs\"]", + "suite": "all", + "tool.cargo": "\"cargo 1.99.0 (5f94df478 2026-08-27)\"", + "tool.just": "\"just 1.58.0\"", + "tool.rustc": "\"rustc 1.99.0 (b940084d7 2026-09-28)\\nbinary: rustc\\ncommit-hash: b940084d7eb6a299eb4bfeb8e34901bc051e7ac4\\ncommit-date: 2026-09-28\\nhost: aarch64-apple-darwin\\nrelease: 1.99.0\\nLLVM version: 23.1.1\"" + }, + "harness_sha256": "bdb17ee72a8f6482ab66fbd92781bba3137a02c528302068f1c3119dc547b17d", + "revision": "0215e65763f8eecb4bcad8bf29de4aca67531aa1", + "source_sha256": "c4756ecf0cde859b365b4c082e12fccf66f21b7e4752c323eb10e9a74bc4f6fa" + }, + "current": { + "context": { + "architecture": "arm64", + "baseline-api-compatibility": "none", + "command": "[\"just\", \"--justfile\", \"tooling/performance.just\", \"--working-directory\", \".\", \"current-all\"]", + "cpu": "Apple M4 Max (arm64)", + "dependency.criterion": "0.8.2", + "dependency.faer": "0.24.4", + "dependency.nalgebra": "0.35.0", + "environment": "{\"CARGO_TARGET_DIR\": \"target\", \"CRITERION_HOME\": \"target/criterion\", \"RUSTFLAGS\": \"--cap-lints=warn\", \"RUSTUP_TOOLCHAIN\": \"1.99.0\"}", + "fingerprint-schema": "research-repo-tools/files/v1", + "gate-command": "[\"just\", \"--justfile\", \"tooling/performance.just\", \"--working-directory\", \".\", \"gate\"]", + "gate-status": "passed", + "harness-inventory": "[\"Cargo.lock\", \"Cargo.toml\", \"benches/angle.rs\", \"benches/common/angle.rs\", \"benches/common/bench_utils.rs\", \"benches/common/exact.rs\", \"benches/common/exact_diagnostics.rs\", \"benches/common/rational.rs\", \"benches/common/rational_solve.rs\", \"benches/common/vs_linalg.rs\", \"benches/comparison/Cargo.toml\", \"benches/comparison/tests/vs_linalg_inputs.rs\", \"benches/exact.rs\", \"benches/gram.rs\", \"benches/interval.rs\", \"benches/linear_form.rs\", \"benches/rational_solve.rs\", \"benches/vs_linalg.rs\", \"examples/const_det_4x4.rs\", \"examples/det_5x5.rs\", \"examples/exact_det_3x3.rs\", \"examples/exact_sign_3x3.rs\", \"examples/exact_solve_3x3.rs\", \"examples/ldlt_solve_3x3.rs\", \"examples/rational_input_5x5.rs\", \"examples/solve_5x5.rs\", \"rust-toolchain.toml\", \"tests/exact_bench_config.rs\", \"tooling/criterion-inventory.toml\", \"tooling/performance-policy.toml\", \"tooling/performance.just\", \"tooling/performance.toml\"]", + "host": "{\"architecture\": \"arm64\", \"cpu\": \"Apple M4 Max (arm64)\", \"logical_threads\": 16, \"memory_bytes\": 68719476736, \"os\": \"macOS-27.0.1-arm64-arm-64bit-Mach-O\", \"physical_cores\": 16, \"schema\": \"research-repo-tools/host/v1\", \"tools\": {\"cargo\": \"cargo 1.99.0 (5f94df478 2026-08-27)\", \"just\": \"just 1.58.0\", \"rustc\": \"rustc 1.99.0 (b940084d7 2026-09-28)\\nbinary: rustc\\ncommit-hash: b940084d7eb6a299eb4bfeb8e34901bc051e7ac4\\ncommit-date: 2026-09-28\\nhost: aarch64-apple-darwin\\nrelease: 1.99.0\\nLLVM version: 23.1.1\"}}", + "host.logical_threads": "16", + "host.memory_bytes": "68719476736", + "host.physical_cores": "16", + "mode": "working-tree", + "original-source-inventory": "[\"Cargo.toml\", \"src/angle.rs\", \"src/error.rs\", \"src/exact.rs\", \"src/gram.rs\", \"src/interval.rs\", \"src/ldlt.rs\", \"src/lib.rs\", \"src/lu.rs\", \"src/matrix.rs\", \"src/norm.rs\", \"src/rational.rs\", \"src/rounding.rs\", \"src/scaled_product.rs\", \"src/tolerance.rs\", \"src/vector.rs\"]", + "original-source-sha256": "1d876cd1476f52283a2f9dbf1bdbf46baec54b86834115f1eddefee601ad6b68", + "os": "macOS-27.0.1-arm64-arm-64bit-Mach-O", + "phase": "current", + "phase-driver": "just-v1", + "release": "v0.5.0", + "scope": "release-signal", + "source-inventory": "[\"Cargo.toml\", \"src/angle.rs\", \"src/error.rs\", \"src/exact.rs\", \"src/gram.rs\", \"src/interval.rs\", \"src/ldlt.rs\", \"src/lib.rs\", \"src/lu.rs\", \"src/matrix.rs\", \"src/norm.rs\", \"src/rational.rs\", \"src/rounding.rs\", \"src/scaled_product.rs\", \"src/tolerance.rs\", \"src/vector.rs\"]", + "suite": "all", + "tool.cargo": "\"cargo 1.99.0 (5f94df478 2026-08-27)\"", + "tool.just": "\"just 1.58.0\"", + "tool.rustc": "\"rustc 1.99.0 (b940084d7 2026-09-28)\\nbinary: rustc\\ncommit-hash: b940084d7eb6a299eb4bfeb8e34901bc051e7ac4\\ncommit-date: 2026-09-28\\nhost: aarch64-apple-darwin\\nrelease: 1.99.0\\nLLVM version: 23.1.1\"" + }, + "harness_sha256": "bdb17ee72a8f6482ab66fbd92781bba3137a02c528302068f1c3119dc547b17d", + "revision": "51868ea4725c1a4790bba4c59341d2113b18b2bb", + "source_sha256": "1d876cd1476f52283a2f9dbf1bdbf46baec54b86834115f1eddefee601ad6b68" + } + } +} diff --git a/docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/report.md b/docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/report.md new file mode 100644 index 0000000..89d0821 --- /dev/null +++ b/docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/report.md @@ -0,0 +1,533 @@ + +# Benchmark timings + +Run: `634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5` + +Evidence: [run payload](run.json) · [evidence envelope](evidence.json). + +Intervals are marginal timing intervals. No significance or ratio interval is inferred. + +- la-stack baseline: measured in **baseline** phase (v0.4.6), revision `0215e65763f8eecb4bcad8bf29de4aca67531aa1`. +- la-stack current: measured in **current** phase (v0.5.0), revision `51868ea4725c1a4790bba4c59341d2113b18b2bb`. +- nalgebra: measured in **baseline** phase (v0.4.6), revision `0215e65763f8eecb4bcad8bf29de4aca67531aa1`. +- faer: measured in **baseline** phase (v0.4.6), revision `0215e65763f8eecb4bcad8bf29de4aca67531aa1`. + +## Mean (ns) + +| Case | la-stack baseline | la-stack current | nalgebra | faer | +| --- | --- | --- | --- | --- | +| d16/la_stack_det | 381.877 ns [380.637, 383.185] (0.95 confidence) | 402.901 ns [400.348, 405.538] (0.95 confidence) | — | — | +| d16/la_stack_det_from_ldlt | 2.88903 ns [2.88509, 2.89272] (0.95 confidence) | 2.96685 ns [2.96414, 2.96959] (0.95 confidence) | 1.69417 ns [1.68903, 1.69915] (0.95 confidence) | 4.38111 ns [4.35599, 4.40639] (0.95 confidence) | +| d16/la_stack_det_from_lu | 3.27537 ns [3.27145, 3.27908] (0.95 confidence) | 3.36911 ns [3.35909, 3.38387] (0.95 confidence) | 1.77288 ns [1.76874, 1.77689] (0.95 confidence) | 4.84201 ns [4.80326, 4.88737] (0.95 confidence) | +| d16/la_stack_det_via_lu | 361.076 ns [360.149, 362.072] (0.95 confidence) | 378.232 ns [376.384, 380.127] (0.95 confidence) | 449.519 ns [447.78, 451.056] (0.95 confidence) | 670.718 ns [668.126, 673.372] (0.95 confidence) | +| d16/la_stack_dot | 2.33211 ns [2.3303, 2.33385] (0.95 confidence) | 2.38358 ns [2.37016, 2.40181] (0.95 confidence) | 1.84951 ns [1.84743, 1.85161] (0.95 confidence) | 3.33075 ns [3.32201, 3.34079] (0.95 confidence) | +| d16/la_stack_inf_norm | 32.3675 ns [32.3089, 32.4231] (0.95 confidence) | 33.5932 ns [33.5291, 33.6597] (0.95 confidence) | 32.4876 ns [32.4397, 32.5321] (0.95 confidence) | 32.4244 ns [32.3467, 32.5071] (0.95 confidence) | +| d16/la_stack_ldlt | 339.413 ns [339.103, 339.73] (0.95 confidence) | 346.101 ns [345.399, 346.847] (0.95 confidence) | 421.755 ns [421.085, 422.399] (0.95 confidence) | 418.304 ns [417.574, 419.051] (0.95 confidence) | +| d16/la_stack_ldlt_solve | 382.168 ns [381.957, 382.379] (0.95 confidence) | 391.674 ns [390.916, 392.472] (0.95 confidence) | 627.153 ns [626.113, 628.155] (0.95 confidence) | 612.374 ns [611.444, 613.316] (0.95 confidence) | +| d16/la_stack_lu | 351.056 ns [349.975, 352.238] (0.95 confidence) | 368.085 ns [366.506, 369.652] (0.95 confidence) | 466.726 ns [465.278, 468.463] (0.95 confidence) | 642.229 ns [638.899, 645.695] (0.95 confidence) | +| d16/la_stack_lu_solve | 657.445 ns [645.98, 669.183] (0.95 confidence) | 705.624 ns [692.434, 718.691] (0.95 confidence) | 591.452 ns [589.116, 594.421] (0.95 confidence) | 937.4 ns [933.866, 940.955] (0.95 confidence) | +| d16/la_stack_norm2_sq | 2.11274 ns [2.10163, 2.12181] (0.95 confidence) | 2.14769 ns [2.14117, 2.15295] (0.95 confidence) | 1.73252 ns [1.73063, 1.73425] (0.95 confidence) | 4.09505 ns [4.09295, 4.09779] (0.95 confidence) | +| d16/la_stack_solve_from_ldlt | 27.7874 ns [27.7543, 27.8255] (0.95 confidence) | 29.0296 ns [28.9327, 29.1361] (0.95 confidence) | 119.383 ns [119.111, 119.643] (0.95 confidence) | 182.77 ns [182.572, 182.977] (0.95 confidence) | +| d16/la_stack_solve_from_lu | 191.094 ns [190.45, 191.748] (0.95 confidence) | 209.039 ns [208.68, 209.397] (0.95 confidence) | 93.5301 ns [93.2916, 93.7761] (0.95 confidence) | 257.724 ns [257.076, 258.442] (0.95 confidence) | +| d2/la_stack_det | 0.572913 ns [0.572679, 0.573159] (0.95 confidence) | 0.574026 ns [0.573741, 0.574325] (0.95 confidence) | — | — | +| d2/la_stack_det_from_ldlt | 0.500962 ns [0.498793, 0.503394] (0.95 confidence) | 0.499362 ns [0.497568, 0.501539] (0.95 confidence) | 0.438693 ns [0.437689, 0.440203] (0.95 confidence) | 0.561681 ns [0.558912, 0.564336] (0.95 confidence) | +| d2/la_stack_det_from_lu | 0.520734 ns [0.520625, 0.520855] (0.95 confidence) | 0.522398 ns [0.521702, 0.523272] (0.95 confidence) | 0.454669 ns [0.452677, 0.457018] (0.95 confidence) | 0.744466 ns [0.744105, 0.744866] (0.95 confidence) | +| d2/la_stack_det_via_lu | 1.77012 ns [1.76894, 1.7713] (0.95 confidence) | 1.74177 ns [1.73791, 1.74545] (0.95 confidence) | 0.823722 ns [0.822379, 0.825152] (0.95 confidence) | 111.409 ns [110.955, 111.884] (0.95 confidence) | +| d2/la_stack_dot | 0.613022 ns [0.608747, 0.618254] (0.95 confidence) | 0.609238 ns [0.603744, 0.615701] (0.95 confidence) | 0.598959 ns [0.596814, 0.60111] (0.95 confidence) | 2.49854 ns [2.48847, 2.51019] (0.95 confidence) | +| d2/la_stack_inf_norm | 0.703036 ns [0.702728, 0.70336] (0.95 confidence) | 0.703414 ns [0.70302, 0.703828] (0.95 confidence) | 0.559914 ns [0.559665, 0.560193] (0.95 confidence) | 0.702043 ns [0.69971, 0.704562] (0.95 confidence) | +| d2/la_stack_ldlt | 6.89019 ns [6.86966, 6.91184] (0.95 confidence) | 6.57264 ns [6.55792, 6.58782] (0.95 confidence) | 1.72147 ns [1.71961, 1.72315] (0.95 confidence) | 87.8513 ns [87.5879, 88.1188] (0.95 confidence) | +| d2/la_stack_ldlt_solve | 9.63446 ns [9.59263, 9.68741] (0.95 confidence) | 9.49552 ns [9.47364, 9.52069] (0.95 confidence) | 2.61452 ns [2.60732, 2.62125] (0.95 confidence) | 126.156 ns [125.859, 126.469] (0.95 confidence) | +| d2/la_stack_lu | 1.55973 ns [1.55555, 1.56384] (0.95 confidence) | 1.56503 ns [1.56276, 1.56702] (0.95 confidence) | 1.73762 ns [1.72118, 1.75451] (0.95 confidence) | 110.571 ns [109.243, 111.965] (0.95 confidence) | +| d2/la_stack_lu_solve | 2.03852 ns [2.02892, 2.04945] (0.95 confidence) | 2.1184 ns [2.10452, 2.13304] (0.95 confidence) | 4.56865 ns [4.555, 4.58322] (0.95 confidence) | 155.728 ns [155.154, 156.321] (0.95 confidence) | +| d2/la_stack_norm2_sq | 0.395341 ns [0.395056, 0.395603] (0.95 confidence) | 0.394679 ns [0.393798, 0.395596] (0.95 confidence) | 0.388882 ns [0.388576, 0.389166] (0.95 confidence) | 4.12739 ns [4.12475, 4.13006] (0.95 confidence) | +| d2/la_stack_solve_from_ldlt | 1.2274 ns [1.22166, 1.2324] (0.95 confidence) | 1.22675 ns [1.22129, 1.23174] (0.95 confidence) | 1.24962 ns [1.24721, 1.25192] (0.95 confidence) | 39.4451 ns [39.3679, 39.523] (0.95 confidence) | +| d2/la_stack_solve_from_lu | 1.24875 ns [1.24645, 1.25126] (0.95 confidence) | 1.26313 ns [1.26011, 1.26619] (0.95 confidence) | 2.90591 ns [2.8988, 2.91369] (0.95 confidence) | 49.2788 ns [49.1287, 49.4294] (0.95 confidence) | +| d3/la_stack_det | 1.35771 ns [1.35126, 1.36442] (0.95 confidence) | 1.35469 ns [1.34796, 1.36169] (0.95 confidence) | — | — | +| d3/la_stack_det_from_ldlt | 0.614083 ns [0.612319, 0.616346] (0.95 confidence) | 0.595951 ns [0.595668, 0.596257] (0.95 confidence) | 0.498063 ns [0.497033, 0.499209] (0.95 confidence) | 0.764778 ns [0.76241, 0.767909] (0.95 confidence) | +| d3/la_stack_det_from_lu | 0.711127 ns [0.710008, 0.712378] (0.95 confidence) | 0.694031 ns [0.693802, 0.694265] (0.95 confidence) | 0.484274 ns [0.483243, 0.485335] (0.95 confidence) | 1.01339 ns [1.01104, 1.01612] (0.95 confidence) | +| d3/la_stack_det_via_lu | 8.82548 ns [8.7993, 8.8528] (0.95 confidence) | 8.71392 ns [8.69608, 8.73389] (0.95 confidence) | 12.7489 ns [12.7001, 12.7992] (0.95 confidence) | 138.965 ns [138.652, 139.286] (0.95 confidence) | +| d3/la_stack_dot | 0.685432 ns [0.683514, 0.687459] (0.95 confidence) | 0.673633 ns [0.672134, 0.675244] (0.95 confidence) | 0.708431 ns [0.706012, 0.711061] (0.95 confidence) | 3.0376 ns [3.01401, 3.06103] (0.95 confidence) | +| d3/la_stack_inf_norm | 1.388 ns [1.38622, 1.38986] (0.95 confidence) | 1.37242 ns [1.36981, 1.37579] (0.95 confidence) | 1.19893 ns [1.19719, 1.20096] (0.95 confidence) | 1.34545 ns [1.34132, 1.34945] (0.95 confidence) | +| d3/la_stack_ldlt | 13.4432 ns [13.3942, 13.4942] (0.95 confidence) | 13.0217 ns [12.9829, 13.0597] (0.95 confidence) | 3.95291 ns [3.94565, 3.96002] (0.95 confidence) | 99.436 ns [99.2032, 99.6837] (0.95 confidence) | +| d3/la_stack_ldlt_solve | 9.86949 ns [9.83823, 9.90216] (0.95 confidence) | 9.81578 ns [9.77303, 9.86134] (0.95 confidence) | 5.73265 ns [5.71507, 5.74869] (0.95 confidence) | 147.806 ns [146.995, 149.019] (0.95 confidence) | +| d3/la_stack_lu | 8.69776 ns [8.64958, 8.75174] (0.95 confidence) | 8.37318 ns [8.35947, 8.38655] (0.95 confidence) | 12.8778 ns [12.7868, 12.9756] (0.95 confidence) | 139.028 ns [138.531, 139.552] (0.95 confidence) | +| d3/la_stack_lu_solve | 9.9778 ns [9.96433, 9.9906] (0.95 confidence) | 9.91611 ns [9.89981, 9.93134] (0.95 confidence) | 33.086 ns [32.9543, 33.2231] (0.95 confidence) | 191.944 ns [191.471, 192.41] (0.95 confidence) | +| d3/la_stack_norm2_sq | 0.509357 ns [0.507526, 0.511601] (0.95 confidence) | 0.4988 ns [0.497818, 0.500049] (0.95 confidence) | 0.45501 ns [0.452661, 0.458448] (0.95 confidence) | 4.26834 ns [4.25797, 4.27851] (0.95 confidence) | +| d3/la_stack_solve_from_ldlt | 1.84441 ns [1.82821, 1.86838] (0.95 confidence) | 1.78465 ns [1.78277, 1.78675] (0.95 confidence) | 3.03299 ns [3.01328, 3.06015] (0.95 confidence) | 41.4997 ns [41.3809, 41.6231] (0.95 confidence) | +| d3/la_stack_solve_from_lu | 2.12983 ns [2.12464, 2.13515] (0.95 confidence) | 2.06385 ns [2.06024, 2.06793] (0.95 confidence) | 4.70164 ns [4.68838, 4.72005] (0.95 confidence) | 54.0274 ns [53.7538, 54.346] (0.95 confidence) | +| d32/la_stack_det | 2178.59 ns [2173.51, 2183.86] (0.95 confidence) | 2252.39 ns [2247.91, 2256.88] (0.95 confidence) | — | — | +| d32/la_stack_det_from_ldlt | 7.78595 ns [7.77144, 7.79968] (0.95 confidence) | 8.16646 ns [8.15442, 8.17878] (0.95 confidence) | 3.07986 ns [3.07157, 3.08763] (0.95 confidence) | 8.61234 ns [8.58365, 8.64235] (0.95 confidence) | +| d32/la_stack_det_from_lu | 9.12572 ns [9.10623, 9.14645] (0.95 confidence) | 9.57734 ns [9.54482, 9.61145] (0.95 confidence) | 3.06712 ns [3.06069, 3.07261] (0.95 confidence) | 8.77433 ns [8.74152, 8.80883] (0.95 confidence) | +| d32/la_stack_det_via_lu | 2043.73 ns [2040.32, 2047.24] (0.95 confidence) | 2106.39 ns [2100.31, 2113.01] (0.95 confidence) | 2268.7 ns [2263.43, 2274.04] (0.95 confidence) | 2389.34 ns [2384.5, 2394.1] (0.95 confidence) | +| d32/la_stack_dot | 4.0179 ns [4.01365, 4.02204] (0.95 confidence) | 4.09956 ns [4.09462, 4.1045] (0.95 confidence) | 4.00272 ns [3.99739, 4.00814] (0.95 confidence) | 4.89614 ns [4.88595, 4.90669] (0.95 confidence) | +| d32/la_stack_inf_norm | 127.564 ns [127.21, 127.884] (0.95 confidence) | 133.649 ns [133.334, 134.06] (0.95 confidence) | 160.034 ns [158.875, 161.173] (0.95 confidence) | 162.59 ns [162.29, 162.884] (0.95 confidence) | +| d32/la_stack_ldlt | 2392.54 ns [2386.27, 2402.48] (0.95 confidence) | 2430.23 ns [2426.93, 2433.6] (0.95 confidence) | 2117.9 ns [2097.96, 2145.6] (0.95 confidence) | 1400.06 ns [1395.44, 1404.88] (0.95 confidence) | +| d32/la_stack_ldlt_solve | 2710.85 ns [2707.16, 2714.57] (0.95 confidence) | 2778.27 ns [2771.53, 2785.45] (0.95 confidence) | 2765.06 ns [2748.24, 2781.59] (0.95 confidence) | 1864.35 ns [1861.11, 1867.91] (0.95 confidence) | +| d32/la_stack_lu | 2136.08 ns [2131.23, 2140.81] (0.95 confidence) | 2218.43 ns [2211.08, 2225.47] (0.95 confidence) | 2123.07 ns [2119.46, 2126.64] (0.95 confidence) | 2367.71 ns [2362.3, 2373.17] (0.95 confidence) | +| d32/la_stack_lu_solve | 2764.68 ns [2760.11, 2769.3] (0.95 confidence) | 2835.01 ns [2827.86, 2842.8] (0.95 confidence) | 2693.92 ns [2678.98, 2707.72] (0.95 confidence) | 3030.93 ns [3023.73, 3038.55] (0.95 confidence) | +| d32/la_stack_norm2_sq | 3.96169 ns [3.95641, 3.96658] (0.95 confidence) | 4.11365 ns [4.10097, 4.12831] (0.95 confidence) | 3.61741 ns [3.60959, 3.62457] (0.95 confidence) | 4.2178 ns [4.21225, 4.22402] (0.95 confidence) | +| d32/la_stack_solve_from_ldlt | 311.146 ns [310.312, 312.038] (0.95 confidence) | 320.497 ns [319.642, 321.43] (0.95 confidence) | 547.331 ns [546.18, 548.448] (0.95 confidence) | 469.58 ns [469.101, 470.078] (0.95 confidence) | +| d32/la_stack_solve_from_lu | 670.442 ns [667.718, 673.547] (0.95 confidence) | 736.257 ns [734.399, 738.2] (0.95 confidence) | 328.251 ns [327.657, 328.798] (0.95 confidence) | 639.747 ns [638.454, 641.443] (0.95 confidence) | +| d4/la_stack_det | 2.60575 ns [2.59285, 2.62314] (0.95 confidence) | 2.54743 ns [2.53963, 2.55628] (0.95 confidence) | — | — | +| d4/la_stack_det_from_ldlt | 0.792381 ns [0.790149, 0.794662] (0.95 confidence) | 0.771954 ns [0.771298, 0.772628] (0.95 confidence) | 0.504207 ns [0.501823, 0.506781] (0.95 confidence) | 1.00565 ns [1.00376, 1.00786] (0.95 confidence) | +| d4/la_stack_det_from_lu | 0.888149 ns [0.886686, 0.889733] (0.95 confidence) | 0.872037 ns [0.87126, 0.872845] (0.95 confidence) | 0.594308 ns [0.592273, 0.596502] (0.95 confidence) | 1.25897 ns [1.25659, 1.26189] (0.95 confidence) | +| d4/la_stack_det_via_lu | 14.5843 ns [14.5431, 14.6307] (0.95 confidence) | 14.3903 ns [14.3579, 14.4264] (0.95 confidence) | 31.3107 ns [31.2583, 31.366] (0.95 confidence) | 165.205 ns [164.673, 165.745] (0.95 confidence) | +| d4/la_stack_dot | 0.69749 ns [0.694191, 0.701078] (0.95 confidence) | 0.687464 ns [0.685363, 0.689699] (0.95 confidence) | 0.670387 ns [0.668655, 0.672222] (0.95 confidence) | 2.69579 ns [2.67877, 2.71198] (0.95 confidence) | +| d4/la_stack_inf_norm | 2.39947 ns [2.39632, 2.40289] (0.95 confidence) | 2.37035 ns [2.36783, 2.37291] (0.95 confidence) | 2.08687 ns [2.0825, 2.09242] (0.95 confidence) | 2.10548 ns [2.09838, 2.11288] (0.95 confidence) | +| d4/la_stack_ldlt | 18.2527 ns [18.2261, 18.2822] (0.95 confidence) | 17.8838 ns [17.8541, 17.9128] (0.95 confidence) | 8.89904 ns [8.41541, 9.46346] (0.95 confidence) | 124.877 ns [124.327, 125.456] (0.95 confidence) | +| d4/la_stack_ldlt_solve | 18.1806 ns [18.1449, 18.2196] (0.95 confidence) | 18.0042 ns [17.9668, 18.0427] (0.95 confidence) | 11.5421 ns [11.5154, 11.5682] (0.95 confidence) | 166.424 ns [166.006, 166.846] (0.95 confidence) | +| d4/la_stack_lu | 13.9015 ns [13.8778, 13.9256] (0.95 confidence) | 13.781 ns [13.7598, 13.8022] (0.95 confidence) | 30.1319 ns [30.0809, 30.1859] (0.95 confidence) | 158.856 ns [158.369, 159.35] (0.95 confidence) | +| d4/la_stack_lu_solve | 22.1298 ns [22.0973, 22.1616] (0.95 confidence) | 21.7429 ns [21.7173, 21.7676] (0.95 confidence) | 54.9585 ns [54.8726, 55.0434] (0.95 confidence) | 222.052 ns [221.391, 222.733] (0.95 confidence) | +| d4/la_stack_norm2_sq | 0.462637 ns [0.461733, 0.463576] (0.95 confidence) | 0.486285 ns [0.481086, 0.49246] (0.95 confidence) | 0.545274 ns [0.543567, 0.547246] (0.95 confidence) | 4.22054 ns [4.21341, 4.22791] (0.95 confidence) | +| d4/la_stack_solve_from_ldlt | 2.55737 ns [2.54503, 2.57192] (0.95 confidence) | 2.52901 ns [2.51247, 2.5479] (0.95 confidence) | 5.81531 ns [5.80181, 5.82826] (0.95 confidence) | 41.7363 ns [41.6474, 41.8243] (0.95 confidence) | +| d4/la_stack_solve_from_lu | 4.04715 ns [4.03604, 4.0589] (0.95 confidence) | 3.9379 ns [3.9308, 3.94505] (0.95 confidence) | 5.83199 ns [5.82423, 5.84028] (0.95 confidence) | 55.4299 ns [55.2979, 55.5682] (0.95 confidence) | +| d5/la_stack_det | 40.9326 ns [40.8844, 40.9807] (0.95 confidence) | 41.1163 ns [41.0652, 41.1706] (0.95 confidence) | — | — | +| d5/la_stack_det_from_ldlt | 0.877508 ns [0.877122, 0.877986] (0.95 confidence) | 0.881074 ns [0.879439, 0.883348] (0.95 confidence) | 0.58162 ns [0.580574, 0.582497] (0.95 confidence) | 1.23603 ns [1.23446, 1.2376] (0.95 confidence) | +| d5/la_stack_det_from_lu | 1.03418 ns [1.03344, 1.03503] (0.95 confidence) | 1.03383 ns [1.0329, 1.03483] (0.95 confidence) | 0.670221 ns [0.666679, 0.673956] (0.95 confidence) | 1.4881 ns [1.48622, 1.49048] (0.95 confidence) | +| d5/la_stack_det_via_lu | 33.4257 ns [33.3587, 33.4966] (0.95 confidence) | 33.6302 ns [33.5526, 33.7071] (0.95 confidence) | 51.4905 ns [51.3641, 51.6174] (0.95 confidence) | 191.54 ns [191.07, 192.02] (0.95 confidence) | +| d5/la_stack_dot | 0.836779 ns [0.833711, 0.83957] (0.95 confidence) | 0.831733 ns [0.827993, 0.835329] (0.95 confidence) | 0.764813 ns [0.763295, 0.766305] (0.95 confidence) | 2.68543 ns [2.66798, 2.70487] (0.95 confidence) | +| d5/la_stack_inf_norm | 3.46401 ns [3.46135, 3.4665] (0.95 confidence) | 3.46346 ns [3.4591, 3.46757] (0.95 confidence) | 3.2708 ns [3.26629, 3.2751] (0.95 confidence) | 3.15991 ns [3.15843, 3.16134] (0.95 confidence) | +| d5/la_stack_ldlt | 24.9692 ns [24.9211, 25.0139] (0.95 confidence) | 25.0969 ns [25.0624, 25.1293] (0.95 confidence) | 25.349 ns [24.6129, 26.0987] (0.95 confidence) | 137.428 ns [137.072, 137.782] (0.95 confidence) | +| d5/la_stack_ldlt_solve | 30.391 ns [30.341, 30.4413] (0.95 confidence) | 30.5802 ns [30.5263, 30.6359] (0.95 confidence) | 40.6196 ns [40.3922, 40.9033] (0.95 confidence) | 200.976 ns [200.255, 201.734] (0.95 confidence) | +| d5/la_stack_lu | 33.4374 ns [33.3708, 33.506] (0.95 confidence) | 33.4032 ns [33.3242, 33.4834] (0.95 confidence) | 50.6301 ns [50.2232, 51.1681] (0.95 confidence) | 180.438 ns [180.051, 180.816] (0.95 confidence) | +| d5/la_stack_lu_solve | 48.4078 ns [48.2116, 48.5877] (0.95 confidence) | 49.1281 ns [49.0529, 49.2046] (0.95 confidence) | 74.7195 ns [74.4329, 74.997] (0.95 confidence) | 272.634 ns [271.856, 273.405] (0.95 confidence) | +| d5/la_stack_norm2_sq | 0.526476 ns [0.526056, 0.526905] (0.95 confidence) | 0.526933 ns [0.526405, 0.52746] (0.95 confidence) | 0.503805 ns [0.503496, 0.504142] (0.95 confidence) | 4.13517 ns [4.13249, 4.13792] (0.95 confidence) | +| d5/la_stack_solve_from_ldlt | 3.94011 ns [3.93095, 3.94896] (0.95 confidence) | 3.90871 ns [3.90269, 3.91439] (0.95 confidence) | 9.15833 ns [9.04235, 9.33769] (0.95 confidence) | 60.2768 ns [60.118, 60.4392] (0.95 confidence) | +| d5/la_stack_solve_from_lu | 6.0822 ns [6.05978, 6.10429] (0.95 confidence) | 6.13798 ns [6.12943, 6.1468] (0.95 confidence) | 8.98041 ns [8.96122, 8.99972] (0.95 confidence) | 84.2034 ns [84.0547, 84.3511] (0.95 confidence) | +| d64/la_stack_det | 15387.5 ns [15288.9, 15484.2] (0.95 confidence) | 15537.1 ns [15450.8, 15624] (0.95 confidence) | — | — | +| d64/la_stack_det_from_ldlt | 23.0039 ns [22.9162, 23.0988] (0.95 confidence) | 24.3583 ns [24.3062, 24.4099] (0.95 confidence) | 8.42777 ns [8.41132, 8.44438] (0.95 confidence) | 20.9039 ns [20.8362, 20.976] (0.95 confidence) | +| d64/la_stack_det_from_lu | 23.1735 ns [23.1279, 23.2159] (0.95 confidence) | 24.3531 ns [24.3013, 24.4068] (0.95 confidence) | 8.62853 ns [8.61019, 8.64531] (0.95 confidence) | 21.2206 ns [21.1872, 21.2522] (0.95 confidence) | +| d64/la_stack_det_via_lu | 14581.7 ns [14536.4, 14627.3] (0.95 confidence) | 14845.3 ns [14796.5, 14894] (0.95 confidence) | 13016.8 ns [13002.1, 13031.3] (0.95 confidence) | 11082.9 ns [11056.6, 11112.3] (0.95 confidence) | +| d64/la_stack_dot | 10.8549 ns [10.8255, 10.8815] (0.95 confidence) | 11.5028 ns [11.4821, 11.523] (0.95 confidence) | 7.98078 ns [7.96332, 7.99756] (0.95 confidence) | 8.20819 ns [8.1802, 8.23787] (0.95 confidence) | +| d64/la_stack_inf_norm | 626.923 ns [625.576, 628.207] (0.95 confidence) | 676.668 ns [674.536, 679.046] (0.95 confidence) | 1248.06 ns [1244.39, 1251.4] (0.95 confidence) | 1563.64 ns [1560.04, 1567.18] (0.95 confidence) | +| d64/la_stack_ldlt | 16846.1 ns [16801.6, 16898.6] (0.95 confidence) | 17169.9 ns [17148.4, 17192.6] (0.95 confidence) | 10743.9 ns [10734.7, 10752.7] (0.95 confidence) | 7015.69 ns [7001.32, 7034.73] (0.95 confidence) | +| d64/la_stack_ldlt_solve | 19083.2 ns [19057.2, 19108.6] (0.95 confidence) | 19515.9 ns [19474.6, 19564.5] (0.95 confidence) | 12295.2 ns [12278, 12311.8] (0.95 confidence) | 8289.7 ns [8276.38, 8307.26] (0.95 confidence) | +| d64/la_stack_lu | 14704.2 ns [14683.9, 14725.4] (0.95 confidence) | 14949.5 ns [14919.7, 14979.8] (0.95 confidence) | 13518 ns [13474.3, 13555.6] (0.95 confidence) | 11156.9 ns [11118.2, 11197.3] (0.95 confidence) | +| d64/la_stack_lu_solve | 17976.7 ns [17911.4, 18039.2] (0.95 confidence) | 18307.6 ns [18202.4, 18412.5] (0.95 confidence) | 13841.5 ns [13828.4, 13854.6] (0.95 confidence) | 12773.7 ns [12732.2, 12819.9] (0.95 confidence) | +| d64/la_stack_norm2_sq | 10.8698 ns [10.8185, 10.9261] (0.95 confidence) | 11.4462 ns [11.4135, 11.4806] (0.95 confidence) | 8.49885 ns [8.48628, 8.51061] (0.95 confidence) | 6.38979 ns [6.33342, 6.44895] (0.95 confidence) | +| d64/la_stack_solve_from_ldlt | 1074.91 ns [1072.26, 1077.89] (0.95 confidence) | 1105.08 ns [1102.15, 1108.29] (0.95 confidence) | 1285.03 ns [1282.74, 1287.24] (0.95 confidence) | 1255.36 ns [1253.06, 1257.76] (0.95 confidence) | +| d64/la_stack_solve_from_lu | 2531.46 ns [2526.7, 2536.23] (0.95 confidence) | 2719.87 ns [2713.15, 2726.53] (0.95 confidence) | 790.936 ns [790.432, 791.429] (0.95 confidence) | 1684.65 ns [1682.86, 1686.39] (0.95 confidence) | +| d8/la_stack_det | 95.1736 ns [94.8209, 95.5046] (0.95 confidence) | 95.4649 ns [95.0827, 95.8222] (0.95 confidence) | — | — | +| d8/la_stack_det_from_ldlt | 1.31426 ns [1.31128, 1.31763] (0.95 confidence) | 1.30756 ns [1.30637, 1.30868] (0.95 confidence) | 0.906331 ns [0.901297, 0.911379] (0.95 confidence) | 2.00406 ns [1.98489, 2.02829] (0.95 confidence) | +| d8/la_stack_det_from_ldlt_balanced_range | 8.77584 ns [8.75176, 8.79992] (0.95 confidence) | 9.02872 ns [9.00819, 9.04959] (0.95 confidence) | — | — | +| d8/la_stack_det_from_lu | 1.46542 ns [1.46401, 1.46677] (0.95 confidence) | 1.47263 ns [1.46917, 1.47648] (0.95 confidence) | 0.988416 ns [0.984047, 0.992586] (0.95 confidence) | 2.31004 ns [2.27776, 2.34696] (0.95 confidence) | +| d8/la_stack_det_from_lu_balanced_range | 9.37731 ns [9.34858, 9.40608] (0.95 confidence) | 9.53277 ns [9.38008, 9.72639] (0.95 confidence) | — | — | +| d8/la_stack_det_via_lu | 89.5977 ns [89.0677, 90.1101] (0.95 confidence) | 91.1588 ns [90.6694, 91.6617] (0.95 confidence) | 140.441 ns [140.02, 140.873] (0.95 confidence) | 268.759 ns [267.679, 269.843] (0.95 confidence) | +| d8/la_stack_dot | 0.921649 ns [0.919907, 0.923464] (0.95 confidence) | 0.940921 ns [0.938419, 0.943604] (0.95 confidence) | 1.33039 ns [1.32865, 1.33213] (0.95 confidence) | 2.57592 ns [2.55781, 2.59931] (0.95 confidence) | +| d8/la_stack_inf_norm | 8.40687 ns [8.38488, 8.42637] (0.95 confidence) | 8.43383 ns [8.41901, 8.44747] (0.95 confidence) | 8.0359 ns [8.02179, 8.04917] (0.95 confidence) | 8.09335 ns [8.08499, 8.10121] (0.95 confidence) | +| d8/la_stack_ldlt | 90.7807 ns [90.5801, 90.9944] (0.95 confidence) | 90.5629 ns [90.4554, 90.6769] (0.95 confidence) | 101.992 ns [101.338, 103.027] (0.95 confidence) | 195.409 ns [195.078, 195.749] (0.95 confidence) | +| d8/la_stack_ldlt_ill_conditioned | 90.3923 ns [90.2556, 90.5439] (0.95 confidence) | 90.2935 ns [90.2018, 90.3852] (0.95 confidence) | — | — | +| d8/la_stack_ldlt_solve | 103.719 ns [103.505, 103.96] (0.95 confidence) | 105.515 ns [105.221, 105.816] (0.95 confidence) | 146.11 ns [144.922, 147.301] (0.95 confidence) | 266.909 ns [266.634, 267.191] (0.95 confidence) | +| d8/la_stack_lu | 89.8157 ns [89.4433, 90.1605] (0.95 confidence) | 90.2377 ns [90.0297, 90.4463] (0.95 confidence) | 133.03 ns [132.41, 133.614] (0.95 confidence) | 258.431 ns [257.648, 259.234] (0.95 confidence) | +| d8/la_stack_lu_ill_conditioned | 89.7279 ns [89.2354, 90.2294] (0.95 confidence) | 89.0322 ns [88.591, 89.4492] (0.95 confidence) | — | — | +| d8/la_stack_lu_pivoting | 94.4715 ns [94.2755, 94.6681] (0.95 confidence) | 95.5521 ns [95.3155, 95.7964] (0.95 confidence) | — | — | +| d8/la_stack_lu_solve | 130.536 ns [130.281, 130.8] (0.95 confidence) | 133.72 ns [133.437, 134.014] (0.95 confidence) | 166.473 ns [166.13, 166.819] (0.95 confidence) | 374.434 ns [373.338, 375.529] (0.95 confidence) | +| d8/la_stack_norm2_sq | 0.671224 ns [0.668953, 0.673608] (0.95 confidence) | 0.66535 ns [0.664149, 0.66646] (0.95 confidence) | 0.938623 ns [0.935849, 0.941726] (0.95 confidence) | 4.15172 ns [4.14727, 4.15633] (0.95 confidence) | +| d8/la_stack_solve_from_ldlt | 8.20154 ns [8.19397, 8.20861] (0.95 confidence) | 8.19407 ns [8.18184, 8.2057] (0.95 confidence) | 21.7461 ns [21.6501, 21.8547] (0.95 confidence) | 69.7129 ns [69.6386, 69.7896] (0.95 confidence) | +| d8/la_stack_solve_from_lu | 13.3991 ns [13.3776, 13.4204] (0.95 confidence) | 13.4357 ns [13.4092, 13.4667] (0.95 confidence) | 16.1861 ns [16.1545, 16.2149] (0.95 confidence) | 102.928 ns [102.7, 103.162] (0.95 confidence) | +| exact_d2/det | 0.438193 ns [0.437655, 0.438771] (0.95 confidence) | 0.460065 ns [0.452834, 0.470007] (0.95 confidence) | — | — | +| exact_d2/det_direct | 0.441632 ns [0.44026, 0.44306] (0.95 confidence) | 0.449694 ns [0.447109, 0.452912] (0.95 confidence) | — | — | +| exact_d2/det_direct_with_errbound | 1.74211 ns [1.73988, 1.7443] (0.95 confidence) | 1.77617 ns [1.77383, 1.77893] (0.95 confidence) | — | — | +| exact_d2/det_errbound | 1.59072 ns [1.58958, 1.59192] (0.95 confidence) | 1.62371 ns [1.6209, 1.62705] (0.95 confidence) | — | — | +| exact_d2/det_exact | 105.56 ns [105.366, 105.711] (0.95 confidence) | 107.55 ns [106.786, 108.249] (0.95 confidence) | — | — | +| exact_d2/det_exact_f64_result | 66.7252 ns [66.5659, 66.8851] (0.95 confidence) | 69.1351 ns [68.9925, 69.2744] (0.95 confidence) | — | — | +| exact_d2/det_exact_rounded_f64 | 68.598 ns [68.4678, 68.7306] (0.95 confidence) | 71.2031 ns [70.9945, 71.4249] (0.95 confidence) | — | — | +| exact_d2/det_sign_exact | 2.98341 ns [2.978, 2.98886] (0.95 confidence) | 3.06474 ns [3.05713, 3.07371] (0.95 confidence) | — | — | +| exact_d2/solve_exact | 7101.53 ns [7090.38, 7112.74] (0.95 confidence) | 7308.61 ns [7282.98, 7340.25] (0.95 confidence) | — | — | +| exact_d2/solve_exact_f64_result | 7239.05 ns [7223.45, 7256.51] (0.95 confidence) | 7492.75 ns [7479.79, 7506.44] (0.95 confidence) | — | — | +| exact_d2/solve_exact_rounded_f64 | 7533.28 ns [7513.86, 7554.41] (0.95 confidence) | 7669.97 ns [7653.92, 7686.35] (0.95 confidence) | — | — | +| exact_d3/det | 0.830687 ns [0.828107, 0.833417] (0.95 confidence) | 0.84932 ns [0.846959, 0.85175] (0.95 confidence) | — | — | +| exact_d3/det_direct | 0.822643 ns [0.821397, 0.824092] (0.95 confidence) | 0.846636 ns [0.844202, 0.849169] (0.95 confidence) | — | — | +| exact_d3/det_direct_with_errbound | 3.32045 ns [3.31512, 3.32655] (0.95 confidence) | 3.4032 ns [3.39678, 3.40996] (0.95 confidence) | — | — | +| exact_d3/det_errbound | 3.2997 ns [3.29731, 3.30252] (0.95 confidence) | 3.37902 ns [3.37142, 3.38805] (0.95 confidence) | — | — | +| exact_d3/det_exact | 334.11 ns [333.523, 334.726] (0.95 confidence) | 347.209 ns [346.755, 347.654] (0.95 confidence) | — | — | +| exact_d3/det_exact_f64_result | 302.755 ns [301.839, 303.884] (0.95 confidence) | 308.088 ns [307.635, 308.556] (0.95 confidence) | — | — | +| exact_d3/det_exact_rounded_f64 | 303.78 ns [303.492, 304.073] (0.95 confidence) | 311.269 ns [310.686, 311.827] (0.95 confidence) | — | — | +| exact_d3/det_sign_exact | 4.71189 ns [4.70753, 4.71633] (0.95 confidence) | 4.80312 ns [4.79668, 4.80958] (0.95 confidence) | — | — | +| exact_d3/solve_exact | 31219.5 ns [31095.6, 31360.1] (0.95 confidence) | 31410.7 ns [31353.4, 31469.3] (0.95 confidence) | — | — | +| exact_d3/solve_exact_f64_result | 30895 ns [30833.8, 30955.8] (0.95 confidence) | 33106.6 ns [32764.1, 33600.4] (0.95 confidence) | — | — | +| exact_d3/solve_exact_rounded_f64 | 31328.3 ns [31283.9, 31372.9] (0.95 confidence) | 31914.8 ns [31842.1, 31989.9] (0.95 confidence) | — | — | +| exact_d4/det | 3.22311 ns [3.21642, 3.23298] (0.95 confidence) | 3.259 ns [3.24465, 3.276] (0.95 confidence) | — | — | +| exact_d4/det_direct | 2.35399 ns [2.35274, 2.3554] (0.95 confidence) | 2.37516 ns [2.36789, 2.38652] (0.95 confidence) | — | — | +| exact_d4/det_direct_with_errbound | 6.77204 ns [6.76653, 6.77706] (0.95 confidence) | 6.81027 ns [6.80147, 6.8206] (0.95 confidence) | — | — | +| exact_d4/det_errbound | 6.75024 ns [6.74157, 6.75886] (0.95 confidence) | 6.79247 ns [6.77999, 6.80542] (0.95 confidence) | — | — | +| exact_d4/det_exact | 997.174 ns [994.009, 1000.41] (0.95 confidence) | 994.8 ns [991.392, 998.362] (0.95 confidence) | — | — | +| exact_d4/det_exact_f64_result | 952.917 ns [948.439, 957.382] (0.95 confidence) | 941.657 ns [938.485, 944.856] (0.95 confidence) | — | — | +| exact_d4/det_exact_rounded_f64 | 994.725 ns [990.92, 998.48] (0.95 confidence) | 954.803 ns [950.651, 959.021] (0.95 confidence) | — | — | +| exact_d4/det_sign_exact | 7.93276 ns [7.92856, 7.93724] (0.95 confidence) | 7.98889 ns [7.97367, 8.00617] (0.95 confidence) | — | — | +| exact_d4/solve_exact | 79448 ns [79250.3, 79659.6] (0.95 confidence) | 79419.2 ns [79293.5, 79547.5] (0.95 confidence) | — | — | +| exact_d4/solve_exact_f64_result | 79484.3 ns [79394.2, 79575.5] (0.95 confidence) | 79460.4 ns [79329.4, 79591.9] (0.95 confidence) | — | — | +| exact_d4/solve_exact_rounded_f64 | 80357.2 ns [80175.3, 80565.9] (0.95 confidence) | 80490.9 ns [80334.1, 80650.4] (0.95 confidence) | — | — | +| exact_d5/det | 27.7094 ns [27.6543, 27.7667] (0.95 confidence) | 27.9543 ns [27.8822, 28.0263] (0.95 confidence) | — | — | +| exact_d5/det_exact | 3444.94 ns [3439.22, 3450.7] (0.95 confidence) | 3493.37 ns [3487.82, 3498.91] (0.95 confidence) | — | — | +| exact_d5/det_exact_f64_result | 3398.76 ns [3391.83, 3405.8] (0.95 confidence) | 3435.43 ns [3428.97, 3442.55] (0.95 confidence) | — | — | +| exact_d5/det_exact_rounded_f64 | 3376.17 ns [3371.34, 3381] (0.95 confidence) | 3463.3 ns [3457.91, 3468.72] (0.95 confidence) | — | — | +| exact_d5/det_sign_exact | 3364.89 ns [3359.61, 3370.23] (0.95 confidence) | 3443.45 ns [3436.91, 3450.32] (0.95 confidence) | — | — | +| exact_d5/solve_exact | 156623 ns [156400, 156852] (0.95 confidence) | 157629 ns [157389, 157872] (0.95 confidence) | — | — | +| exact_d5/solve_exact_f64_result | 156857 ns [156635, 157081] (0.95 confidence) | 158041 ns [157742, 158345] (0.95 confidence) | — | — | +| exact_d5/solve_exact_rounded_f64 | 157493 ns [157276, 157717] (0.95 confidence) | 159404 ns [158863, 160068] (0.95 confidence) | — | — | +| exact_hilbert_4x4/det_exact | 1064.71 ns [1057.77, 1071.42] (0.95 confidence) | 1024.85 ns [1019.28, 1030.83] (0.95 confidence) | — | — | +| exact_hilbert_4x4/det_sign_exact | 8.07959 ns [8.06018, 8.09947] (0.95 confidence) | 7.91835 ns [7.91319, 7.92302] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact | 59655.4 ns [59580.3, 59728.7] (0.95 confidence) | 59527.9 ns [59410.5, 59646] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact_f64_result | 59918.6 ns [59834.9, 60005.5] (0.95 confidence) | 59465.3 ns [59360.6, 59568.6] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact_rounded_f64 | 60493.4 ns [60401.8, 60583.5] (0.95 confidence) | 60077.2 ns [59962, 60190.8] (0.95 confidence) | — | — | +| exact_hilbert_5x5/det_exact | 3596 ns [3590.09, 3601.87] (0.95 confidence) | 3705.67 ns [3699.39, 3712.02] (0.95 confidence) | — | — | +| exact_hilbert_5x5/det_sign_exact | 3583.33 ns [3571.22, 3595.49] (0.95 confidence) | 3676.59 ns [3665.63, 3688.39] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact | 123691 ns [123407, 124000] (0.95 confidence) | 122501 ns [122253, 122748] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact_f64_result | 122495 ns [122283, 122711] (0.95 confidence) | 122956 ns [122437, 123748] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact_rounded_f64 | 123567 ns [123372, 123762] (0.95 confidence) | 131935 ns [130386, 133861] (0.95 confidence) | — | — | +| exact_large_entries_3x3/det_exact | 320.927 ns [320.384, 321.487] (0.95 confidence) | 322.039 ns [321.459, 322.66] (0.95 confidence) | — | — | +| exact_large_entries_3x3/det_sign_exact | 313.249 ns [312.481, 314.043] (0.95 confidence) | 312.551 ns [312.197, 312.919] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact | 92432.9 ns [92308.6, 92560.9] (0.95 confidence) | 93469.4 ns [93382, 93557.2] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact_f64_result | 92313.6 ns [92182.9, 92444.5] (0.95 confidence) | 94078.7 ns [93922.8, 94245.2] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact_rounded_f64 | 93037.8 ns [92919, 93158.3] (0.95 confidence) | 95379.1 ns [95112.2, 95743.5] (0.95 confidence) | — | — | +| exact_near_singular_3x3/det_exact | 330.658 ns [330.155, 331.218] (0.95 confidence) | 331.575 ns [331.123, 332.053] (0.95 confidence) | — | — | +| exact_near_singular_3x3/det_sign_exact | 382.485 ns [381.592, 383.421] (0.95 confidence) | 383.104 ns [381.834, 384.285] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact | 2639.39 ns [2635.26, 2643.52] (0.95 confidence) | 2658.68 ns [2653.54, 2663.92] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact_f64_result | 2674.76 ns [2667.73, 2682.9] (0.95 confidence) | 2655.98 ns [2649.46, 2662.29] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact_rounded_f64 | 2662.97 ns [2658.73, 2667.28] (0.95 confidence) | 2672.55 ns [2668.49, 2677.22] (0.95 confidence) | — | — | +| exact_random_corpus_d2/det_exact | 3075.83 ns [3073.67, 3078.22] (0.95 confidence) | 3117.36 ns [3113.97, 3121.09] (0.95 confidence) | — | — | +| exact_random_corpus_d2/det_sign_exact | 150.183 ns [149.231, 151.209] (0.95 confidence) | 145.468 ns [145.085, 145.856] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact | 73943.1 ns [73801.6, 74084.5] (0.95 confidence) | 74677.1 ns [74538.4, 74813.9] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact_f64_result | 74789.7 ns [74640.9, 74950] (0.95 confidence) | 75858.3 ns [75719.8, 76004.6] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact_rounded_f64 | 75116.3 ns [74965.5, 75269.8] (0.95 confidence) | 76457.9 ns [76242.4, 76681.3] (0.95 confidence) | — | — | +| exact_random_corpus_d3/det_exact | 8953.7 ns [8829.82, 9114.2] (0.95 confidence) | 8965.63 ns [8933.22, 8999.98] (0.95 confidence) | — | — | +| exact_random_corpus_d3/det_sign_exact | 225.109 ns [224.834, 225.397] (0.95 confidence) | 225.832 ns [225.61, 226.053] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact | 236413 ns [235835, 237009] (0.95 confidence) | 232370 ns [232162, 232582] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact_f64_result | 233709 ns [233360, 234053] (0.95 confidence) | 233079 ns [232683, 233453] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact_rounded_f64 | 232855 ns [232546, 233185] (0.95 confidence) | 234107 ns [233724, 234489] (0.95 confidence) | — | — | +| exact_random_corpus_d4/det_exact | 21561.5 ns [21442.9, 21690.8] (0.95 confidence) | 21894.3 ns [21805.9, 21989.7] (0.95 confidence) | — | — | +| exact_random_corpus_d4/det_sign_exact | 443.25 ns [442.946, 443.556] (0.95 confidence) | 445.317 ns [444.541, 446.14] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact | 514994 ns [514483, 515517] (0.95 confidence) | 524619 ns [523548, 525744] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact_f64_result | 515398 ns [514737, 516102] (0.95 confidence) | 522851 ns [522158, 523528] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact_rounded_f64 | 516704 ns [516028, 517373] (0.95 confidence) | 525305 ns [524419, 526135] (0.95 confidence) | — | — | +| exact_random_corpus_d5/det_exact | 55370.6 ns [55120.8, 55649.7] (0.95 confidence) | 56219.7 ns [55937, 56522.6] (0.95 confidence) | — | — | +| exact_random_corpus_d5/det_sign_exact | 54984.3 ns [54776, 55197.6] (0.95 confidence) | 55193.7 ns [54994.6, 55404.9] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact | 1.01308e+06 ns [1.01078e+06, 1.01545e+06] (0.95 confidence) | 1.02002e+06 ns [1.01876e+06, 1.02122e+06] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact_f64_result | 1.01018e+06 ns [1.00909e+06, 1.01127e+06] (0.95 confidence) | 1.02136e+06 ns [1.01858e+06, 1.02434e+06] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact_rounded_f64 | 1.01063e+06 ns [1.00927e+06, 1.01192e+06] (0.95 confidence) | 1.01802e+06 ns [1.01571e+06, 1.0201e+06] (0.95 confidence) | — | — | +| rational_input_d2/det_big_rational_gaussian | 1101.74 ns [1100.24, 1103.35] (0.95 confidence) | 1106.92 ns [1104.44, 1110.22] (0.95 confidence) | — | — | +| rational_input_d2/det_row_cleared_bareiss | 178.104 ns [177.862, 178.353] (0.95 confidence) | 180.318 ns [179.918, 180.746] (0.95 confidence) | — | — | +| rational_input_d2/det_sign_row_cleared_bareiss | 77.0368 ns [76.9432, 77.1334] (0.95 confidence) | 77.9081 ns [77.743, 78.0791] (0.95 confidence) | — | — | +| rational_input_d2/solve_big_rational_gaussian | 2105.43 ns [2101.63, 2109.5] (0.95 confidence) | 2116.51 ns [2113.51, 2119.55] (0.95 confidence) | — | — | +| rational_input_d2/solve_row_cleared_bareiss | 926.427 ns [925.508, 927.351] (0.95 confidence) | 931.53 ns [930.581, 932.578] (0.95 confidence) | — | — | +| rational_input_d3/det_big_rational_gaussian | 4614.22 ns [4602.18, 4626.62] (0.95 confidence) | 4628.07 ns [4615.68, 4641.06] (0.95 confidence) | — | — | +| rational_input_d3/det_row_cleared_bareiss | 562.68 ns [561.488, 564.029] (0.95 confidence) | 568.154 ns [567.323, 569.022] (0.95 confidence) | — | — | +| rational_input_d3/det_sign_row_cleared_bareiss | 362.361 ns [361.303, 363.502] (0.95 confidence) | 356.702 ns [355.781, 357.705] (0.95 confidence) | — | — | +| rational_input_d3/solve_big_rational_gaussian | 7974.74 ns [7953.05, 7996.88] (0.95 confidence) | 8054.63 ns [8025.89, 8084.71] (0.95 confidence) | — | — | +| rational_input_d3/solve_row_cleared_bareiss | 2402.19 ns [2397.85, 2406.79] (0.95 confidence) | 2425.42 ns [2414.75, 2439.47] (0.95 confidence) | — | — | +| rational_input_d4/det_big_rational_gaussian | 13576.4 ns [13527.7, 13624] (0.95 confidence) | 13416.5 ns [13370.5, 13462.4] (0.95 confidence) | — | — | +| rational_input_d4/det_row_cleared_bareiss | 1140.83 ns [1138.74, 1142.92] (0.95 confidence) | 1146.18 ns [1144.82, 1147.56] (0.95 confidence) | — | — | +| rational_input_d4/det_sign_row_cleared_bareiss | 761.432 ns [759.768, 763.137] (0.95 confidence) | 757.253 ns [756.353, 758.199] (0.95 confidence) | — | — | +| rational_input_d4/solve_big_rational_gaussian | 23725.2 ns [23664.2, 23789.3] (0.95 confidence) | 23719.6 ns [23657.8, 23780.9] (0.95 confidence) | — | — | +| rational_input_d4/solve_row_cleared_bareiss | 5500.13 ns [5405.68, 5602.14] (0.95 confidence) | 5911.87 ns [5768.75, 6065.51] (0.95 confidence) | — | — | +| rational_input_d5/det_big_rational_gaussian | 23205.6 ns [23111.8, 23314.3] (0.95 confidence) | 23137.7 ns [23099.9, 23177] (0.95 confidence) | — | — | +| rational_input_d5/det_row_cleared_bareiss | 2055.53 ns [2051.42, 2059.61] (0.95 confidence) | 2077.81 ns [2075.3, 2080.37] (0.95 confidence) | — | — | +| rational_input_d5/det_sign_row_cleared_bareiss | 1540.19 ns [1537.47, 1542.93] (0.95 confidence) | 1572.43 ns [1570.28, 1574.59] (0.95 confidence) | — | — | +| rational_input_d5/solve_big_rational_gaussian | 39427.5 ns [39267.9, 39593.4] (0.95 confidence) | 39299.3 ns [39219.9, 39378.8] (0.95 confidence) | — | — | +| rational_input_d5/solve_row_cleared_bareiss | 9350.24 ns [9331.51, 9369.2] (0.95 confidence) | 9464.07 ns [9448.98, 9479.42] (0.95 confidence) | — | — | +| rational_input_d6/det_big_rational_gaussian | 55982.3 ns [55847.8, 56113.5] (0.95 confidence) | 56994.4 ns [56875, 57112.8] (0.95 confidence) | — | — | +| rational_input_d6/det_row_cleared_bareiss | 3601.81 ns [3595.16, 3608.46] (0.95 confidence) | 3640.98 ns [3631.9, 3652.73] (0.95 confidence) | — | — | +| rational_input_d6/det_sign_row_cleared_bareiss | 2947.81 ns [2942.41, 2953.28] (0.95 confidence) | 2983.67 ns [2978.91, 2988.4] (0.95 confidence) | — | — | +| rational_input_d6/solve_big_rational_gaussian | 89277.2 ns [89057.2, 89501.4] (0.95 confidence) | 90181.9 ns [89971.9, 90397.4] (0.95 confidence) | — | — | +| rational_input_d6/solve_row_cleared_bareiss | 17424.9 ns [17367.6, 17488.8] (0.95 confidence) | 17803.2 ns [17772.1, 17834.1] (0.95 confidence) | — | — | +| rational_input_d7/det_big_rational_gaussian | 108611 ns [108354, 108873] (0.95 confidence) | 110246 ns [109941, 110600] (0.95 confidence) | — | — | +| rational_input_d7/det_row_cleared_bareiss | 5850.32 ns [5839.08, 5863.38] (0.95 confidence) | 5889.54 ns [5872.79, 5907.38] (0.95 confidence) | — | — | +| rational_input_d7/det_sign_row_cleared_bareiss | 5003.98 ns [4992.98, 5015.6] (0.95 confidence) | 5000.2 ns [4991.23, 5009.15] (0.95 confidence) | — | — | +| rational_input_d7/solve_big_rational_gaussian | 159309 ns [158679, 160020] (0.95 confidence) | 162486 ns [162175, 162790] (0.95 confidence) | — | — | +| rational_input_d7/solve_row_cleared_bareiss | 28193.8 ns [28128.1, 28260.2] (0.95 confidence) | 28918.5 ns [28872.2, 28964] (0.95 confidence) | — | — | +| rational_input_d8/det_big_rational_gaussian | 187569 ns [187131, 188019] (0.95 confidence) | 190172 ns [189753, 190586] (0.95 confidence) | — | — | +| rational_input_d8/det_row_cleared_bareiss | 9020.66 ns [8897.13, 9189.34] (0.95 confidence) | 8883.24 ns [8871.22, 8894.84] (0.95 confidence) | — | — | +| rational_input_d8/det_sign_row_cleared_bareiss | 7985.48 ns [7971.39, 7999.63] (0.95 confidence) | 7942.5 ns [7923.98, 7962.36] (0.95 confidence) | — | — | +| rational_input_d8/solve_big_rational_gaussian | 262705 ns [262251, 263168] (0.95 confidence) | 268790 ns [268225, 269354] (0.95 confidence) | — | — | +| rational_input_d8/solve_row_cleared_bareiss | 40881 ns [40819.1, 40944.1] (0.95 confidence) | 41790.7 ns [41637, 42001.2] (0.95 confidence) | — | — | + +## Median (ns) + +| Case | la-stack baseline | la-stack current | nalgebra | faer | +| --- | --- | --- | --- | --- | +| d16/la_stack_det | 379.272 ns [378.451, 380.366] (0.95 confidence) | 401.093 ns [398.153, 404.658] (0.95 confidence) | — | — | +| d16/la_stack_det_from_ldlt | 2.89094 ns [2.88425, 2.90038] (0.95 confidence) | 2.96543 ns [2.96339, 2.96871] (0.95 confidence) | 1.70051 ns [1.69525, 1.70445] (0.95 confidence) | 4.3533 ns [4.33624, 4.36853] (0.95 confidence) | +| d16/la_stack_det_from_lu | 3.28159 ns [3.27565, 3.28649] (0.95 confidence) | 3.35471 ns [3.35195, 3.35876] (0.95 confidence) | 1.77532 ns [1.76963, 1.77906] (0.95 confidence) | 4.82318 ns [4.76454, 4.8634] (0.95 confidence) | +| d16/la_stack_det_via_lu | 360.619 ns [359.716, 361.689] (0.95 confidence) | 377.718 ns [374.568, 381.126] (0.95 confidence) | 451.034 ns [449.913, 451.762] (0.95 confidence) | 666.409 ns [663.273, 673.084] (0.95 confidence) | +| d16/la_stack_dot | 2.33315 ns [2.33218, 2.33422] (0.95 confidence) | 2.36585 ns [2.36324, 2.36963] (0.95 confidence) | 1.84921 ns [1.84831, 1.84993] (0.95 confidence) | 3.31767 ns [3.31433, 3.32792] (0.95 confidence) | +| d16/la_stack_inf_norm | 32.4514 ns [32.3366, 32.4761] (0.95 confidence) | 33.5202 ns [33.4712, 33.5765] (0.95 confidence) | 32.5791 ns [32.5201, 32.605] (0.95 confidence) | 32.2307 ns [32.2168, 32.2844] (0.95 confidence) | +| d16/la_stack_ldlt | 338.907 ns [338.69, 339.485] (0.95 confidence) | 345.474 ns [344.655, 346.116] (0.95 confidence) | 422.509 ns [421.62, 422.946] (0.95 confidence) | 418.131 ns [417.556, 418.894] (0.95 confidence) | +| d16/la_stack_ldlt_solve | 382.109 ns [381.947, 382.505] (0.95 confidence) | 390.634 ns [390.107, 391.056] (0.95 confidence) | 628.019 ns [626.887, 629.04] (0.95 confidence) | 612.089 ns [610.79, 613.119] (0.95 confidence) | +| d16/la_stack_lu | 350.086 ns [348.492, 351.41] (0.95 confidence) | 368.462 ns [364.863, 371.298] (0.95 confidence) | 464.597 ns [463.776, 465.843] (0.95 confidence) | 633.175 ns [631.494, 640.576] (0.95 confidence) | +| d16/la_stack_lu_solve | 627.457 ns [613.21, 635.397] (0.95 confidence) | 750.027 ns [649.969, 761.453] (0.95 confidence) | 589.011 ns [586.474, 592.341] (0.95 confidence) | 938.943 ns [932.02, 944.127] (0.95 confidence) | +| d16/la_stack_norm2_sq | 2.12017 ns [2.11718, 2.1233] (0.95 confidence) | 2.14796 ns [2.14589, 2.15195] (0.95 confidence) | 1.73558 ns [1.73353, 1.7364] (0.95 confidence) | 4.09384 ns [4.09297, 4.09492] (0.95 confidence) | +| d16/la_stack_solve_from_ldlt | 27.7905 ns [27.7687, 27.8075] (0.95 confidence) | 29.016 ns [28.9085, 29.1021] (0.95 confidence) | 119.414 ns [118.977, 119.984] (0.95 confidence) | 182.626 ns [182.299, 182.82] (0.95 confidence) | +| d16/la_stack_solve_from_lu | 191.074 ns [190.623, 191.465] (0.95 confidence) | 209.188 ns [208.682, 209.517] (0.95 confidence) | 93.6387 ns [93.394, 93.7612] (0.95 confidence) | 257.154 ns [256.905, 257.7] (0.95 confidence) | +| d2/la_stack_det | 0.572876 ns [0.572777, 0.57299] (0.95 confidence) | 0.573987 ns [0.573647, 0.574175] (0.95 confidence) | — | — | +| d2/la_stack_det_from_ldlt | 0.496238 ns [0.496192, 0.496347] (0.95 confidence) | 0.496604 ns [0.496449, 0.496839] (0.95 confidence) | 0.438546 ns [0.438, 0.4387] (0.95 confidence) | 0.570374 ns [0.569774, 0.57083] (0.95 confidence) | +| d2/la_stack_det_from_lu | 0.520624 ns [0.520547, 0.520724] (0.95 confidence) | 0.520987 ns [0.520651, 0.52145] (0.95 confidence) | 0.45059 ns [0.450332, 0.451806] (0.95 confidence) | 0.743834 ns [0.743654, 0.744151] (0.95 confidence) | +| d2/la_stack_det_via_lu | 1.77086 ns [1.76992, 1.77177] (0.95 confidence) | 1.7435 ns [1.7374, 1.75313] (0.95 confidence) | 0.822672 ns [0.821112, 0.823663] (0.95 confidence) | 110.718 ns [110.261, 111.408] (0.95 confidence) | +| d2/la_stack_dot | 0.612921 ns [0.612366, 0.613432] (0.95 confidence) | 0.610449 ns [0.606927, 0.613366] (0.95 confidence) | 0.598043 ns [0.593009, 0.599721] (0.95 confidence) | 2.47931 ns [2.47867, 2.47984] (0.95 confidence) | +| d2/la_stack_inf_norm | 0.703132 ns [0.702861, 0.703304] (0.95 confidence) | 0.703434 ns [0.703269, 0.703603] (0.95 confidence) | 0.559833 ns [0.559717, 0.559959] (0.95 confidence) | 0.695855 ns [0.695335, 0.696852] (0.95 confidence) | +| d2/la_stack_ldlt | 6.89114 ns [6.87985, 6.91103] (0.95 confidence) | 6.55722 ns [6.54552, 6.57972] (0.95 confidence) | 1.72375 ns [1.72274, 1.7245] (0.95 confidence) | 87.7743 ns [87.4516, 88.1834] (0.95 confidence) | +| d2/la_stack_ldlt_solve | 9.60901 ns [9.59092, 9.63616] (0.95 confidence) | 9.49351 ns [9.47354, 9.50791] (0.95 confidence) | 2.62395 ns [2.61761, 2.62944] (0.95 confidence) | 125.726 ns [125.433, 126.029] (0.95 confidence) | +| d2/la_stack_lu | 1.56569 ns [1.56284, 1.5679] (0.95 confidence) | 1.56693 ns [1.56549, 1.56814] (0.95 confidence) | 1.68189 ns [1.67891, 1.68622] (0.95 confidence) | 108.948 ns [107.575, 110.523] (0.95 confidence) | +| d2/la_stack_lu_solve | 2.01731 ns [2.01633, 2.01805] (0.95 confidence) | 2.10359 ns [2.08908, 2.11912] (0.95 confidence) | 4.53894 ns [4.53141, 4.54661] (0.95 confidence) | 154.45 ns [153.658, 155.846] (0.95 confidence) | +| d2/la_stack_norm2_sq | 0.395429 ns [0.395177, 0.395569] (0.95 confidence) | 0.395034 ns [0.394428, 0.395421] (0.95 confidence) | 0.389089 ns [0.388885, 0.389318] (0.95 confidence) | 4.1265 ns [4.12534, 4.12826] (0.95 confidence) | +| d2/la_stack_solve_from_ldlt | 1.23867 ns [1.2383, 1.23904] (0.95 confidence) | 1.23932 ns [1.23805, 1.24032] (0.95 confidence) | 1.24972 ns [1.24834, 1.25148] (0.95 confidence) | 39.463 ns [39.3332, 39.5216] (0.95 confidence) | +| d2/la_stack_solve_from_lu | 1.24468 ns [1.24094, 1.24904] (0.95 confidence) | 1.26331 ns [1.25802, 1.26633] (0.95 confidence) | 2.894 ns [2.89321, 2.89545] (0.95 confidence) | 49.3097 ns [49.1857, 49.4274] (0.95 confidence) | +| d3/la_stack_det | 1.33913 ns [1.33765, 1.34325] (0.95 confidence) | 1.33991 ns [1.33668, 1.34289] (0.95 confidence) | — | — | +| d3/la_stack_det_from_ldlt | 0.612948 ns [0.611813, 0.614127] (0.95 confidence) | 0.595467 ns [0.595158, 0.595737] (0.95 confidence) | 0.496208 ns [0.495686, 0.49675] (0.95 confidence) | 0.760555 ns [0.759415, 0.763128] (0.95 confidence) | +| d3/la_stack_det_from_lu | 0.709547 ns [0.708629, 0.710965] (0.95 confidence) | 0.693946 ns [0.693803, 0.694034] (0.95 confidence) | 0.483905 ns [0.48194, 0.485024] (0.95 confidence) | 1.01064 ns [1.00857, 1.01164] (0.95 confidence) | +| d3/la_stack_det_via_lu | 8.79971 ns [8.76753, 8.84205] (0.95 confidence) | 8.68592 ns [8.67467, 8.69586] (0.95 confidence) | 12.61 ns [12.603, 12.6328] (0.95 confidence) | 138.806 ns [138.328, 139.246] (0.95 confidence) | +| d3/la_stack_dot | 0.681535 ns [0.680378, 0.683296] (0.95 confidence) | 0.671023 ns [0.669925, 0.672805] (0.95 confidence) | 0.706024 ns [0.703341, 0.70755] (0.95 confidence) | 3.0367 ns [3.02574, 3.04921] (0.95 confidence) | +| d3/la_stack_inf_norm | 1.38741 ns [1.3859, 1.38884] (0.95 confidence) | 1.36927 ns [1.36835, 1.37046] (0.95 confidence) | 1.19754 ns [1.19605, 1.19858] (0.95 confidence) | 1.34749 ns [1.34389, 1.3515] (0.95 confidence) | +| d3/la_stack_ldlt | 13.4093 ns [13.3568, 13.4652] (0.95 confidence) | 13.0128 ns [12.9757, 13.0532] (0.95 confidence) | 3.95925 ns [3.95144, 3.97094] (0.95 confidence) | 99.0856 ns [98.9316, 99.2756] (0.95 confidence) | +| d3/la_stack_ldlt_solve | 9.80848 ns [9.78745, 9.84487] (0.95 confidence) | 9.74358 ns [9.71499, 9.76146] (0.95 confidence) | 5.75807 ns [5.73394, 5.76789] (0.95 confidence) | 147.084 ns [146.664, 147.499] (0.95 confidence) | +| d3/la_stack_lu | 8.68803 ns [8.62311, 8.7214] (0.95 confidence) | 8.38217 ns [8.36225, 8.39415] (0.95 confidence) | 12.7922 ns [12.7034, 12.8895] (0.95 confidence) | 139.091 ns [138.443, 139.316] (0.95 confidence) | +| d3/la_stack_lu_solve | 9.98135 ns [9.97281, 9.9906] (0.95 confidence) | 9.93879 ns [9.92881, 9.95117] (0.95 confidence) | 32.9342 ns [32.8554, 33.057] (0.95 confidence) | 191.85 ns [191.206, 192.814] (0.95 confidence) | +| d3/la_stack_norm2_sq | 0.507066 ns [0.505861, 0.508281] (0.95 confidence) | 0.498095 ns [0.496577, 0.499413] (0.95 confidence) | 0.452066 ns [0.451062, 0.453544] (0.95 confidence) | 4.26639 ns [4.25754, 4.28818] (0.95 confidence) | +| d3/la_stack_solve_from_ldlt | 1.82795 ns [1.82373, 1.83132] (0.95 confidence) | 1.78095 ns [1.78017, 1.78173] (0.95 confidence) | 3.00925 ns [2.99857, 3.02052] (0.95 confidence) | 41.4065 ns [41.2795, 41.5182] (0.95 confidence) | +| d3/la_stack_solve_from_lu | 2.13084 ns [2.12446, 2.13602] (0.95 confidence) | 2.05702 ns [2.05559, 2.05822] (0.95 confidence) | 4.69852 ns [4.68887, 4.70656] (0.95 confidence) | 53.7473 ns [53.5314, 53.9728] (0.95 confidence) | +| d32/la_stack_det | 2175.6 ns [2167.52, 2183.12] (0.95 confidence) | 2253.83 ns [2248.47, 2257.61] (0.95 confidence) | — | — | +| d32/la_stack_det_from_ldlt | 7.80178 ns [7.78797, 7.81116] (0.95 confidence) | 8.16296 ns [8.14651, 8.1759] (0.95 confidence) | 3.0888 ns [3.08514, 3.09175] (0.95 confidence) | 8.60059 ns [8.5721, 8.63071] (0.95 confidence) | +| d32/la_stack_det_from_lu | 9.09263 ns [9.08045, 9.11029] (0.95 confidence) | 9.55091 ns [9.52895, 9.59579] (0.95 confidence) | 3.07434 ns [3.06716, 3.07811] (0.95 confidence) | 8.78609 ns [8.73977, 8.82193] (0.95 confidence) | +| d32/la_stack_det_via_lu | 2042.01 ns [2039.57, 2044.43] (0.95 confidence) | 2097.15 ns [2093.25, 2104.1] (0.95 confidence) | 2269.4 ns [2260.57, 2275.1] (0.95 confidence) | 2391.84 ns [2384.89, 2394.43] (0.95 confidence) | +| d32/la_stack_dot | 4.02217 ns [4.0174, 4.02843] (0.95 confidence) | 4.09795 ns [4.09615, 4.10263] (0.95 confidence) | 4.00127 ns [3.9967, 4.0067] (0.95 confidence) | 4.87016 ns [4.86241, 4.87819] (0.95 confidence) | +| d32/la_stack_inf_norm | 127.933 ns [127.73, 128.284] (0.95 confidence) | 133.153 ns [133.06, 133.385] (0.95 confidence) | 160.906 ns [158.963, 162.054] (0.95 confidence) | 162.784 ns [162.45, 162.981] (0.95 confidence) | +| d32/la_stack_ldlt | 2384.2 ns [2382.57, 2386.09] (0.95 confidence) | 2431.22 ns [2428.58, 2433.78] (0.95 confidence) | 2092.05 ns [2082.88, 2102.77] (0.95 confidence) | 1399.49 ns [1390.69, 1408.7] (0.95 confidence) | +| d32/la_stack_ldlt_solve | 2707.43 ns [2704.76, 2712.19] (0.95 confidence) | 2768.09 ns [2762.52, 2774.48] (0.95 confidence) | 2810.35 ns [2784.92, 2816.19] (0.95 confidence) | 1861.98 ns [1859.82, 1865.27] (0.95 confidence) | +| d32/la_stack_lu | 2138.35 ns [2134.27, 2143.88] (0.95 confidence) | 2226.92 ns [2218.65, 2230.7] (0.95 confidence) | 2120.89 ns [2118.28, 2124.36] (0.95 confidence) | 2366.95 ns [2363.16, 2370.37] (0.95 confidence) | +| d32/la_stack_lu_solve | 2762.99 ns [2758.9, 2767.72] (0.95 confidence) | 2829.62 ns [2819.66, 2837.22] (0.95 confidence) | 2722.74 ns [2720.98, 2729.21] (0.95 confidence) | 3023.87 ns [3017.73, 3030.19] (0.95 confidence) | +| d32/la_stack_norm2_sq | 3.9658 ns [3.96092, 3.97436] (0.95 confidence) | 4.1013 ns [4.08692, 4.10916] (0.95 confidence) | 3.62609 ns [3.61571, 3.63556] (0.95 confidence) | 4.21289 ns [4.21225, 4.21392] (0.95 confidence) | +| d32/la_stack_solve_from_ldlt | 311.264 ns [310.487, 312.295] (0.95 confidence) | 320.496 ns [319.713, 321.007] (0.95 confidence) | 548.658 ns [546.83, 549.753] (0.95 confidence) | 469.109 ns [468.904, 469.465] (0.95 confidence) | +| d32/la_stack_solve_from_lu | 666.961 ns [665.864, 668.213] (0.95 confidence) | 735.74 ns [734.025, 737.377] (0.95 confidence) | 328.48 ns [328.138, 329.019] (0.95 confidence) | 639.316 ns [638.049, 640.345] (0.95 confidence) | +| d4/la_stack_det | 2.59079 ns [2.58535, 2.60559] (0.95 confidence) | 2.5437 ns [2.52985, 2.55742] (0.95 confidence) | — | — | +| d4/la_stack_det_from_ldlt | 0.787562 ns [0.786422, 0.791756] (0.95 confidence) | 0.77159 ns [0.770293, 0.772868] (0.95 confidence) | 0.499227 ns [0.498689, 0.4997] (0.95 confidence) | 1.00377 ns [1.00289, 1.00498] (0.95 confidence) | +| d4/la_stack_det_from_lu | 0.886058 ns [0.884854, 0.887513] (0.95 confidence) | 0.870765 ns [0.870079, 0.872809] (0.95 confidence) | 0.590961 ns [0.588626, 0.592034] (0.95 confidence) | 1.25584 ns [1.25455, 1.2569] (0.95 confidence) | +| d4/la_stack_det_via_lu | 14.5493 ns [14.5287, 14.5816] (0.95 confidence) | 14.3681 ns [14.3312, 14.3953] (0.95 confidence) | 31.2562 ns [31.1699, 31.3552] (0.95 confidence) | 164.743 ns [164.348, 165.425] (0.95 confidence) | +| d4/la_stack_dot | 0.691713 ns [0.688447, 0.693459] (0.95 confidence) | 0.68448 ns [0.681956, 0.688119] (0.95 confidence) | 0.666976 ns [0.665682, 0.668425] (0.95 confidence) | 2.73962 ns [2.7005, 2.74687] (0.95 confidence) | +| d4/la_stack_inf_norm | 2.39495 ns [2.39335, 2.39861] (0.95 confidence) | 2.37107 ns [2.36854, 2.374] (0.95 confidence) | 2.08273 ns [2.08038, 2.08506] (0.95 confidence) | 2.08911 ns [2.08339, 2.10665] (0.95 confidence) | +| d4/la_stack_ldlt | 18.2285 ns [18.2088, 18.2493] (0.95 confidence) | 17.9138 ns [17.8725, 17.9542] (0.95 confidence) | 7.92229 ns [7.9045, 7.95379] (0.95 confidence) | 124.238 ns [123.806, 124.89] (0.95 confidence) | +| d4/la_stack_ldlt_solve | 18.1373 ns [18.0834, 18.1765] (0.95 confidence) | 17.9777 ns [17.9146, 18.0244] (0.95 confidence) | 11.5452 ns [11.4995, 11.5868] (0.95 confidence) | 166.26 ns [165.641, 166.955] (0.95 confidence) | +| d4/la_stack_lu | 13.8975 ns [13.8774, 13.9233] (0.95 confidence) | 13.7862 ns [13.7637, 13.8035] (0.95 confidence) | 30.0526 ns [30.0148, 30.1072] (0.95 confidence) | 158.857 ns [157.98, 159.484] (0.95 confidence) | +| d4/la_stack_lu_solve | 22.1488 ns [22.1185, 22.1688] (0.95 confidence) | 21.7341 ns [21.7035, 21.776] (0.95 confidence) | 55.0106 ns [54.9217, 55.0615] (0.95 confidence) | 221.887 ns [221.678, 222.673] (0.95 confidence) | +| d4/la_stack_norm2_sq | 0.461115 ns [0.460671, 0.462203] (0.95 confidence) | 0.477166 ns [0.474712, 0.481989] (0.95 confidence) | 0.54413 ns [0.543035, 0.545759] (0.95 confidence) | 4.21735 ns [4.20825, 4.22393] (0.95 confidence) | +| d4/la_stack_solve_from_ldlt | 2.54384 ns [2.53093, 2.55676] (0.95 confidence) | 2.49308 ns [2.48506, 2.50136] (0.95 confidence) | 5.82202 ns [5.81192, 5.83516] (0.95 confidence) | 41.7311 ns [41.6519, 41.8151] (0.95 confidence) | +| d4/la_stack_solve_from_lu | 4.0318 ns [4.02105, 4.04677] (0.95 confidence) | 3.9445 ns [3.93473, 3.94977] (0.95 confidence) | 5.83637 ns [5.82832, 5.84141] (0.95 confidence) | 55.3476 ns [55.2688, 55.4685] (0.95 confidence) | +| d5/la_stack_det | 40.9715 ns [40.8612, 41.0168] (0.95 confidence) | 41.1138 ns [41.0703, 41.1471] (0.95 confidence) | — | — | +| d5/la_stack_det_from_ldlt | 0.877386 ns [0.877116, 0.877632] (0.95 confidence) | 0.878577 ns [0.877941, 0.879622] (0.95 confidence) | 0.583159 ns [0.582517, 0.58354] (0.95 confidence) | 1.23782 ns [1.23634, 1.23875] (0.95 confidence) | +| d5/la_stack_det_from_lu | 1.03418 ns [1.03346, 1.03456] (0.95 confidence) | 1.033 ns [1.03162, 1.03452] (0.95 confidence) | 0.66136 ns [0.657915, 0.668257] (0.95 confidence) | 1.48662 ns [1.48628, 1.48713] (0.95 confidence) | +| d5/la_stack_det_via_lu | 33.4972 ns [33.4588, 33.5131] (0.95 confidence) | 33.6162 ns [33.5415, 33.6868] (0.95 confidence) | 51.4294 ns [51.3175, 51.524] (0.95 confidence) | 191.177 ns [190.659, 191.624] (0.95 confidence) | +| d5/la_stack_dot | 0.843249 ns [0.8426, 0.843671] (0.95 confidence) | 0.842959 ns [0.839884, 0.843939] (0.95 confidence) | 0.764448 ns [0.763663, 0.76533] (0.95 confidence) | 2.63811 ns [2.63731, 2.64365] (0.95 confidence) | +| d5/la_stack_inf_norm | 3.46955 ns [3.46784, 3.47043] (0.95 confidence) | 3.46893 ns [3.46542, 3.47116] (0.95 confidence) | 3.2796 ns [3.27431, 3.28241] (0.95 confidence) | 3.16084 ns [3.15981, 3.16145] (0.95 confidence) | +| d5/la_stack_ldlt | 25.0049 ns [24.944, 25.0526] (0.95 confidence) | 25.1376 ns [25.11, 25.154] (0.95 confidence) | 25.2354 ns [24.3772, 26.3912] (0.95 confidence) | 137.376 ns [136.651, 137.838] (0.95 confidence) | +| d5/la_stack_ldlt_solve | 30.4296 ns [30.3614, 30.4628] (0.95 confidence) | 30.5698 ns [30.4626, 30.6452] (0.95 confidence) | 40.2172 ns [40.2036, 40.2558] (0.95 confidence) | 199.907 ns [199.061, 200.506] (0.95 confidence) | +| d5/la_stack_lu | 33.5064 ns [33.317, 33.5916] (0.95 confidence) | 33.2397 ns [33.1367, 33.6301] (0.95 confidence) | 50.0776 ns [49.8946, 50.5527] (0.95 confidence) | 180.626 ns [180.122, 181.097] (0.95 confidence) | +| d5/la_stack_lu_solve | 48.7153 ns [48.6718, 48.7504] (0.95 confidence) | 49.1031 ns [49.0318, 49.1659] (0.95 confidence) | 74.629 ns [74.3476, 74.9906] (0.95 confidence) | 272.864 ns [272.009, 273.512] (0.95 confidence) | +| d5/la_stack_norm2_sq | 0.525661 ns [0.525259, 0.526131] (0.95 confidence) | 0.527524 ns [0.525701, 0.528065] (0.95 confidence) | 0.503771 ns [0.503572, 0.503944] (0.95 confidence) | 4.13532 ns [4.13289, 4.13641] (0.95 confidence) | +| d5/la_stack_solve_from_ldlt | 3.94677 ns [3.93389, 3.96169] (0.95 confidence) | 3.91732 ns [3.91421, 3.92183] (0.95 confidence) | 9.03899 ns [9.00572, 9.05456] (0.95 confidence) | 60.1795 ns [60.1129, 60.3863] (0.95 confidence) | +| d5/la_stack_solve_from_lu | 6.08472 ns [6.06153, 6.11231] (0.95 confidence) | 6.12656 ns [6.11897, 6.14238] (0.95 confidence) | 8.9966 ns [8.97481, 9.01403] (0.95 confidence) | 84.2009 ns [84.0597, 84.3299] (0.95 confidence) | +| d64/la_stack_det | 15419.7 ns [15317.1, 15517.3] (0.95 confidence) | 15607.4 ns [15525.1, 15681.8] (0.95 confidence) | — | — | +| d64/la_stack_det_from_ldlt | 22.9949 ns [22.8735, 23.0413] (0.95 confidence) | 24.3353 ns [24.2589, 24.4077] (0.95 confidence) | 8.43186 ns [8.40615, 8.45378] (0.95 confidence) | 20.8183 ns [20.7795, 20.8946] (0.95 confidence) | +| d64/la_stack_det_from_lu | 23.231 ns [23.1874, 23.2604] (0.95 confidence) | 24.3422 ns [24.295, 24.3796] (0.95 confidence) | 8.64464 ns [8.63183, 8.65888] (0.95 confidence) | 21.2372 ns [21.2039, 21.2809] (0.95 confidence) | +| d64/la_stack_det_via_lu | 14596.6 ns [14537.5, 14694.7] (0.95 confidence) | 14869.9 ns [14823.1, 14944.5] (0.95 confidence) | 13020.4 ns [13001.5, 13032.7] (0.95 confidence) | 11036.6 ns [11027.5, 11059] (0.95 confidence) | +| d64/la_stack_dot | 10.8944 ns [10.8602, 10.9125] (0.95 confidence) | 11.5095 ns [11.4922, 11.5295] (0.95 confidence) | 7.99232 ns [7.96211, 8.00956] (0.95 confidence) | 8.17384 ns [8.10427, 8.23606] (0.95 confidence) | +| d64/la_stack_inf_norm | 627.793 ns [626.723, 629.574] (0.95 confidence) | 674.478 ns [672.691, 676.417] (0.95 confidence) | 1251.53 ns [1248.47, 1255.67] (0.95 confidence) | 1568.14 ns [1562.6, 1570.88] (0.95 confidence) | +| d64/la_stack_ldlt | 16774.7 ns [16761.3, 16786.9] (0.95 confidence) | 17153.1 ns [17130, 17175.4] (0.95 confidence) | 10747.5 ns [10740.8, 10757.6] (0.95 confidence) | 7001.9 ns [6997.07, 7009.98] (0.95 confidence) | +| d64/la_stack_ldlt_solve | 19075.4 ns [19037.7, 19105.9] (0.95 confidence) | 19478.7 ns [19456.8, 19523] (0.95 confidence) | 12299.4 ns [12291.5, 12313.2] (0.95 confidence) | 8273.44 ns [8262.32, 8283.77] (0.95 confidence) | +| d64/la_stack_lu | 14682.2 ns [14663.6, 14702.9] (0.95 confidence) | 14924.1 ns [14891.1, 14997.4] (0.95 confidence) | 13604.1 ns [13575, 13616.4] (0.95 confidence) | 11098.4 ns [11037.4, 11167.1] (0.95 confidence) | +| d64/la_stack_lu_solve | 18014.7 ns [17849.1, 18166.4] (0.95 confidence) | 18280.4 ns [18138, 18489.9] (0.95 confidence) | 13835.1 ns [13822.9, 13852.2] (0.95 confidence) | 12678.8 ns [12660.2, 12699.3] (0.95 confidence) | +| d64/la_stack_norm2_sq | 10.8165 ns [10.8016, 10.8318] (0.95 confidence) | 11.3915 ns [11.3645, 11.4378] (0.95 confidence) | 8.52183 ns [8.50728, 8.5323] (0.95 confidence) | 6.21011 ns [6.20027, 6.26274] (0.95 confidence) | +| d64/la_stack_solve_from_ldlt | 1074.14 ns [1072.88, 1076.54] (0.95 confidence) | 1103.32 ns [1099.25, 1105.99] (0.95 confidence) | 1289.2 ns [1286.32, 1290.23] (0.95 confidence) | 1252.76 ns [1249.61, 1255.61] (0.95 confidence) | +| d64/la_stack_solve_from_lu | 2530.99 ns [2524.36, 2541.55] (0.95 confidence) | 2719.71 ns [2714.93, 2728.93] (0.95 confidence) | 791.158 ns [790.924, 791.33] (0.95 confidence) | 1685.24 ns [1683.32, 1686.69] (0.95 confidence) | +| d8/la_stack_det | 95.5337 ns [95.422, 95.6859] (0.95 confidence) | 96.0299 ns [95.7172, 96.1538] (0.95 confidence) | — | — | +| d8/la_stack_det_from_ldlt | 1.30998 ns [1.30856, 1.31208] (0.95 confidence) | 1.30758 ns [1.30593, 1.30941] (0.95 confidence) | 0.913542 ns [0.896885, 0.918783] (0.95 confidence) | 1.97881 ns [1.97447, 1.98117] (0.95 confidence) | +| d8/la_stack_det_from_ldlt_balanced_range | 8.73914 ns [8.68084, 8.82264] (0.95 confidence) | 9.02925 ns [8.99874, 9.0541] (0.95 confidence) | — | — | +| d8/la_stack_det_from_lu | 1.46489 ns [1.46432, 1.46598] (0.95 confidence) | 1.46681 ns [1.46544, 1.46859] (0.95 confidence) | 0.997928 ns [0.990364, 0.998579] (0.95 confidence) | 2.23371 ns [2.23129, 2.23987] (0.95 confidence) | +| d8/la_stack_det_from_lu_balanced_range | 9.40991 ns [9.36982, 9.41723] (0.95 confidence) | 9.36441 ns [9.19918, 9.46503] (0.95 confidence) | — | — | +| d8/la_stack_det_via_lu | 90.0003 ns [89.4881, 90.7238] (0.95 confidence) | 91.1377 ns [90.9825, 91.3288] (0.95 confidence) | 140.38 ns [140.256, 140.682] (0.95 confidence) | 268.382 ns [267.16, 270.555] (0.95 confidence) | +| d8/la_stack_dot | 0.920693 ns [0.919859, 0.921825] (0.95 confidence) | 0.938248 ns [0.935731, 0.940223] (0.95 confidence) | 1.33079 ns [1.32954, 1.3322] (0.95 confidence) | 2.54972 ns [2.54228, 2.57066] (0.95 confidence) | +| d8/la_stack_inf_norm | 8.43703 ns [8.42209, 8.45037] (0.95 confidence) | 8.46336 ns [8.44575, 8.47159] (0.95 confidence) | 8.05139 ns [8.03854, 8.06795] (0.95 confidence) | 8.10969 ns [8.10081, 8.11662] (0.95 confidence) | +| d8/la_stack_ldlt | 90.4337 ns [90.2549, 90.6032] (0.95 confidence) | 90.4841 ns [90.4109, 90.6392] (0.95 confidence) | 101.46 ns [100.991, 102.101] (0.95 confidence) | 195.344 ns [195.102, 195.453] (0.95 confidence) | +| d8/la_stack_ldlt_ill_conditioned | 90.2188 ns [90.1175, 90.3155] (0.95 confidence) | 90.2188 ns [90.1527, 90.4098] (0.95 confidence) | — | — | +| d8/la_stack_ldlt_solve | 103.441 ns [103.298, 103.708] (0.95 confidence) | 105.555 ns [105.215, 105.799] (0.95 confidence) | 147.45 ns [141.922, 149.357] (0.95 confidence) | 266.801 ns [266.3, 267.128] (0.95 confidence) | +| d8/la_stack_lu | 90.0189 ns [89.8607, 90.3413] (0.95 confidence) | 90.1784 ns [89.9849, 90.362] (0.95 confidence) | 133.545 ns [132.756, 133.916] (0.95 confidence) | 257.893 ns [257.102, 259.004] (0.95 confidence) | +| d8/la_stack_lu_ill_conditioned | 89.6288 ns [88.9996, 90.2728] (0.95 confidence) | 89.6705 ns [89.4697, 89.882] (0.95 confidence) | — | — | +| d8/la_stack_lu_pivoting | 94.4911 ns [94.3366, 94.8131] (0.95 confidence) | 95.2265 ns [95.0854, 95.5085] (0.95 confidence) | — | — | +| d8/la_stack_lu_solve | 130.471 ns [130.304, 130.733] (0.95 confidence) | 133.665 ns [133.426, 133.861] (0.95 confidence) | 166.317 ns [166.02, 166.604] (0.95 confidence) | 374.912 ns [372.746, 376.096] (0.95 confidence) | +| d8/la_stack_norm2_sq | 0.668475 ns [0.667505, 0.669308] (0.95 confidence) | 0.66656 ns [0.665109, 0.668505] (0.95 confidence) | 0.932707 ns [0.931802, 0.933498] (0.95 confidence) | 4.14741 ns [4.14266, 4.15215] (0.95 confidence) | +| d8/la_stack_solve_from_ldlt | 8.21381 ns [8.20853, 8.21669] (0.95 confidence) | 8.20724 ns [8.19176, 8.21578] (0.95 confidence) | 21.6993 ns [21.6244, 21.7363] (0.95 confidence) | 69.6593 ns [69.6017, 69.6999] (0.95 confidence) | +| d8/la_stack_solve_from_lu | 13.3948 ns [13.3776, 13.4128] (0.95 confidence) | 13.4109 ns [13.3987, 13.4503] (0.95 confidence) | 16.2178 ns [16.186, 16.2658] (0.95 confidence) | 102.443 ns [102.246, 102.805] (0.95 confidence) | +| exact_d2/det | 0.437607 ns [0.437261, 0.43802] (0.95 confidence) | 0.450079 ns [0.449262, 0.451482] (0.95 confidence) | — | — | +| exact_d2/det_direct | 0.438443 ns [0.437972, 0.439661] (0.95 confidence) | 0.44589 ns [0.444961, 0.44701] (0.95 confidence) | — | — | +| exact_d2/det_direct_with_errbound | 1.74342 ns [1.74005, 1.74601] (0.95 confidence) | 1.77356 ns [1.77148, 1.77481] (0.95 confidence) | — | — | +| exact_d2/det_errbound | 1.58811 ns [1.5874, 1.58956] (0.95 confidence) | 1.61984 ns [1.61872, 1.62252] (0.95 confidence) | — | — | +| exact_d2/det_exact | 105.681 ns [105.555, 105.714] (0.95 confidence) | 108.898 ns [108.622, 109.16] (0.95 confidence) | — | — | +| exact_d2/det_exact_f64_result | 66.6816 ns [66.3984, 67.107] (0.95 confidence) | 69.2162 ns [69.1264, 69.3796] (0.95 confidence) | — | — | +| exact_d2/det_exact_rounded_f64 | 68.5379 ns [68.3688, 68.7476] (0.95 confidence) | 70.9349 ns [70.8286, 71.0535] (0.95 confidence) | — | — | +| exact_d2/det_sign_exact | 2.97719 ns [2.97444, 2.98201] (0.95 confidence) | 3.05619 ns [3.0517, 3.05976] (0.95 confidence) | — | — | +| exact_d2/solve_exact | 7101.58 ns [7076.55, 7114.39] (0.95 confidence) | 7287.66 ns [7269.82, 7303.67] (0.95 confidence) | — | — | +| exact_d2/solve_exact_f64_result | 7211.4 ns [7198.57, 7221.83] (0.95 confidence) | 7486.5 ns [7474.23, 7503.96] (0.95 confidence) | — | — | +| exact_d2/solve_exact_rounded_f64 | 7521.46 ns [7503.04, 7541.24] (0.95 confidence) | 7667.74 ns [7653.73, 7681.71] (0.95 confidence) | — | — | +| exact_d3/det | 0.824679 ns [0.82185, 0.826576] (0.95 confidence) | 0.844887 ns [0.84331, 0.847052] (0.95 confidence) | — | — | +| exact_d3/det_direct | 0.820217 ns [0.819999, 0.820613] (0.95 confidence) | 0.841538 ns [0.839892, 0.843676] (0.95 confidence) | — | — | +| exact_d3/det_direct_with_errbound | 3.31432 ns [3.31121, 3.31644] (0.95 confidence) | 3.39753 ns [3.38846, 3.40442] (0.95 confidence) | — | — | +| exact_d3/det_errbound | 3.2961 ns [3.29439, 3.29739] (0.95 confidence) | 3.37007 ns [3.36717, 3.37234] (0.95 confidence) | — | — | +| exact_d3/det_exact | 333.2 ns [332.537, 334.062] (0.95 confidence) | 347.228 ns [346.674, 347.694] (0.95 confidence) | — | — | +| exact_d3/det_exact_f64_result | 301.192 ns [300.546, 301.931] (0.95 confidence) | 307.89 ns [307.366, 308.632] (0.95 confidence) | — | — | +| exact_d3/det_exact_rounded_f64 | 303.616 ns [303.313, 304.146] (0.95 confidence) | 311.716 ns [310.916, 312.184] (0.95 confidence) | — | — | +| exact_d3/det_sign_exact | 4.70867 ns [4.70694, 4.71219] (0.95 confidence) | 4.80631 ns [4.79645, 4.81409] (0.95 confidence) | — | — | +| exact_d3/solve_exact | 31151.7 ns [30971.3, 31260.6] (0.95 confidence) | 31421.8 ns [31340, 31484.2] (0.95 confidence) | — | — | +| exact_d3/solve_exact_f64_result | 30868.5 ns [30801.3, 30901] (0.95 confidence) | 32665 ns [32367.3, 32932.5] (0.95 confidence) | — | — | +| exact_d3/solve_exact_rounded_f64 | 31301.8 ns [31224.5, 31382.9] (0.95 confidence) | 31889.1 ns [31809.7, 31976.6] (0.95 confidence) | — | — | +| exact_d4/det | 3.21436 ns [3.21379, 3.21571] (0.95 confidence) | 3.22868 ns [3.22382, 3.23502] (0.95 confidence) | — | — | +| exact_d4/det_direct | 2.35275 ns [2.35217, 2.35392] (0.95 confidence) | 2.36516 ns [2.36235, 2.36771] (0.95 confidence) | — | — | +| exact_d4/det_direct_with_errbound | 6.77784 ns [6.77585, 6.77884] (0.95 confidence) | 6.79239 ns [6.78985, 6.79734] (0.95 confidence) | — | — | +| exact_d4/det_errbound | 6.75278 ns [6.74407, 6.75666] (0.95 confidence) | 6.78473 ns [6.76819, 6.79724] (0.95 confidence) | — | — | +| exact_d4/det_exact | 995.982 ns [992.447, 998.628] (0.95 confidence) | 994.463 ns [989.647, 997.38] (0.95 confidence) | — | — | +| exact_d4/det_exact_f64_result | 953.334 ns [946.67, 956.673] (0.95 confidence) | 942.457 ns [939.248, 946.725] (0.95 confidence) | — | — | +| exact_d4/det_exact_rounded_f64 | 997.858 ns [992.58, 1001.8] (0.95 confidence) | 953.063 ns [947.833, 958.796] (0.95 confidence) | — | — | +| exact_d4/det_sign_exact | 7.92726 ns [7.92438, 7.92858] (0.95 confidence) | 7.96825 ns [7.95719, 7.9766] (0.95 confidence) | — | — | +| exact_d4/solve_exact | 79180.8 ns [79084.4, 79417.8] (0.95 confidence) | 79433 ns [79240.9, 79558.3] (0.95 confidence) | — | — | +| exact_d4/solve_exact_f64_result | 79524.9 ns [79375.2, 79623.1] (0.95 confidence) | 79595.9 ns [79338.6, 79742.8] (0.95 confidence) | — | — | +| exact_d4/solve_exact_rounded_f64 | 80130.8 ns [80036.9, 80288.4] (0.95 confidence) | 80440.7 ns [80332.6, 80657.4] (0.95 confidence) | — | — | +| exact_d5/det | 27.7235 ns [27.6692, 27.766] (0.95 confidence) | 27.9531 ns [27.866, 28.1329] (0.95 confidence) | — | — | +| exact_d5/det_exact | 3443.38 ns [3437.65, 3453.31] (0.95 confidence) | 3496.21 ns [3485.51, 3503.35] (0.95 confidence) | — | — | +| exact_d5/det_exact_f64_result | 3399.92 ns [3390.22, 3405.48] (0.95 confidence) | 3425.94 ns [3422.05, 3429.93] (0.95 confidence) | — | — | +| exact_d5/det_exact_rounded_f64 | 3371.59 ns [3365.66, 3384.72] (0.95 confidence) | 3464.17 ns [3457.26, 3472] (0.95 confidence) | — | — | +| exact_d5/det_sign_exact | 3366.38 ns [3356.93, 3373.04] (0.95 confidence) | 3443.89 ns [3431.94, 3449.15] (0.95 confidence) | — | — | +| exact_d5/solve_exact | 156461 ns [156212, 156628] (0.95 confidence) | 157713 ns [157301, 158021] (0.95 confidence) | — | — | +| exact_d5/solve_exact_f64_result | 156745 ns [156557, 157013] (0.95 confidence) | 158057 ns [157661, 158457] (0.95 confidence) | — | — | +| exact_d5/solve_exact_rounded_f64 | 157433 ns [157193, 157646] (0.95 confidence) | 158819 ns [158422, 159037] (0.95 confidence) | — | — | +| exact_hilbert_4x4/det_exact | 1076.5 ns [1068.35, 1087.49] (0.95 confidence) | 1013.79 ns [1010.21, 1019.36] (0.95 confidence) | — | — | +| exact_hilbert_4x4/det_sign_exact | 8.05776 ns [8.03223, 8.08877] (0.95 confidence) | 7.92417 ns [7.92002, 7.92615] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact | 59638.5 ns [59580.5, 59746.1] (0.95 confidence) | 59591.1 ns [59495.9, 59686.2] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact_f64_result | 59811.3 ns [59764.6, 59928.3] (0.95 confidence) | 59446.4 ns [59318, 59581.2] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact_rounded_f64 | 60476.9 ns [60337.1, 60612.8] (0.95 confidence) | 60139.9 ns [60076.1, 60207.2] (0.95 confidence) | — | — | +| exact_hilbert_5x5/det_exact | 3596.17 ns [3588.46, 3605.22] (0.95 confidence) | 3703.79 ns [3696.35, 3713.21] (0.95 confidence) | — | — | +| exact_hilbert_5x5/det_sign_exact | 3590.06 ns [3575.21, 3605.64] (0.95 confidence) | 3670.86 ns [3651.49, 3686.03] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact | 123340 ns [123059, 123696] (0.95 confidence) | 122365 ns [122128, 122554] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact_f64_result | 122512 ns [122299, 122707] (0.95 confidence) | 122484 ns [122326, 122754] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact_rounded_f64 | 123587 ns [123413, 123844] (0.95 confidence) | 129890 ns [129489, 130259] (0.95 confidence) | — | — | +| exact_large_entries_3x3/det_exact | 320.36 ns [319.794, 321.303] (0.95 confidence) | 321.245 ns [320.736, 322.073] (0.95 confidence) | — | — | +| exact_large_entries_3x3/det_sign_exact | 313.534 ns [312.574, 314.258] (0.95 confidence) | 312.382 ns [312.027, 312.8] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact | 92374.7 ns [92255.2, 92526.3] (0.95 confidence) | 93423.1 ns [93319.1, 93553.1] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact_f64_result | 92292.6 ns [92189.6, 92467.7] (0.95 confidence) | 93917.6 ns [93809.9, 94023.6] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact_rounded_f64 | 92993.5 ns [92788.4, 93187.4] (0.95 confidence) | 95011.1 ns [94877.7, 95275] (0.95 confidence) | — | — | +| exact_near_singular_3x3/det_exact | 330.396 ns [329.774, 330.732] (0.95 confidence) | 331.719 ns [331.215, 332.041] (0.95 confidence) | — | — | +| exact_near_singular_3x3/det_sign_exact | 381.617 ns [380.891, 382.738] (0.95 confidence) | 384.296 ns [383.549, 385.741] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact | 2640.57 ns [2634.42, 2648.9] (0.95 confidence) | 2661.62 ns [2657.04, 2664.72] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact_f64_result | 2666.04 ns [2662.54, 2670.71] (0.95 confidence) | 2664.43 ns [2658.27, 2668.62] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact_rounded_f64 | 2661.42 ns [2656.71, 2666.63] (0.95 confidence) | 2669.25 ns [2665.89, 2672.32] (0.95 confidence) | — | — | +| exact_random_corpus_d2/det_exact | 3074.61 ns [3073.48, 3076.5] (0.95 confidence) | 3113.29 ns [3110.98, 3116.17] (0.95 confidence) | — | — | +| exact_random_corpus_d2/det_sign_exact | 149.951 ns [148.821, 150.311] (0.95 confidence) | 145.447 ns [145.019, 145.8] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact | 73898.7 ns [73785.4, 74041.7] (0.95 confidence) | 74691.2 ns [74552.8, 74879.2] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact_f64_result | 74636 ns [74528.3, 74739.7] (0.95 confidence) | 75679.1 ns [75588.4, 75805] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact_rounded_f64 | 74998.9 ns [74909.1, 75146.1] (0.95 confidence) | 76119.2 ns [75828.6, 76475.4] (0.95 confidence) | — | — | +| exact_random_corpus_d3/det_exact | 8735.9 ns [8706.82, 8747.5] (0.95 confidence) | 8916.02 ns [8890.29, 8952.93] (0.95 confidence) | — | — | +| exact_random_corpus_d3/det_sign_exact | 225.041 ns [224.843, 225.166] (0.95 confidence) | 225.856 ns [225.386, 226.057] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact | 236603 ns [234555, 237500] (0.95 confidence) | 232425 ns [232059, 232620] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact_f64_result | 233964 ns [233377, 234178] (0.95 confidence) | 233273 ns [232820, 233741] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact_rounded_f64 | 232670 ns [232372, 232989] (0.95 confidence) | 234259 ns [233846, 234719] (0.95 confidence) | — | — | +| exact_random_corpus_d4/det_exact | 21465.1 ns [21329.4, 21524.8] (0.95 confidence) | 21767.8 ns [21688.3, 21846.1] (0.95 confidence) | — | — | +| exact_random_corpus_d4/det_sign_exact | 443.083 ns [442.756, 443.478] (0.95 confidence) | 444.827 ns [443.47, 445.771] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact | 514860 ns [514153, 515277] (0.95 confidence) | 524102 ns [523441, 525063] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact_f64_result | 515182 ns [514699, 515836] (0.95 confidence) | 522636 ns [522137, 522990] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact_rounded_f64 | 516974 ns [515876, 517511] (0.95 confidence) | 525773 ns [524838, 527087] (0.95 confidence) | — | — | +| exact_random_corpus_d5/det_exact | 55095.3 ns [54756.3, 55363.3] (0.95 confidence) | 55825.8 ns [55684.2, 56051.1] (0.95 confidence) | — | — | +| exact_random_corpus_d5/det_sign_exact | 54917.3 ns [54608.2, 55126.3] (0.95 confidence) | 55009.3 ns [54885, 55329.4] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact | 1.01098e+06 ns [1.00922e+06, 1.01757e+06] (0.95 confidence) | 1.02105e+06 ns [1.01928e+06, 1.0227e+06] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact_f64_result | 1.0099e+06 ns [1.00872e+06, 1.01108e+06] (0.95 confidence) | 1.02094e+06 ns [1.01881e+06, 1.02267e+06] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact_rounded_f64 | 1.0115e+06 ns [1.01054e+06, 1.0123e+06] (0.95 confidence) | 1.01892e+06 ns [1.01752e+06, 1.02096e+06] (0.95 confidence) | — | — | +| rational_input_d2/det_big_rational_gaussian | 1101.62 ns [1099.34, 1102.96] (0.95 confidence) | 1104.07 ns [1102.04, 1107.44] (0.95 confidence) | — | — | +| rational_input_d2/det_row_cleared_bareiss | 178.295 ns [177.825, 178.437] (0.95 confidence) | 179.604 ns [179.355, 180.059] (0.95 confidence) | — | — | +| rational_input_d2/det_sign_row_cleared_bareiss | 76.9844 ns [76.8428, 77.153] (0.95 confidence) | 77.8888 ns [77.737, 78.0925] (0.95 confidence) | — | — | +| rational_input_d2/solve_big_rational_gaussian | 2101.82 ns [2099, 2106.11] (0.95 confidence) | 2115.58 ns [2112.65, 2118.49] (0.95 confidence) | — | — | +| rational_input_d2/solve_row_cleared_bareiss | 926.348 ns [924.941, 927.762] (0.95 confidence) | 931.625 ns [930.645, 932.404] (0.95 confidence) | — | — | +| rational_input_d3/det_big_rational_gaussian | 4607.84 ns [4591.84, 4618.04] (0.95 confidence) | 4618.71 ns [4606.42, 4629.37] (0.95 confidence) | — | — | +| rational_input_d3/det_row_cleared_bareiss | 561.084 ns [560.655, 561.946] (0.95 confidence) | 567.794 ns [566.479, 568.868] (0.95 confidence) | — | — | +| rational_input_d3/det_sign_row_cleared_bareiss | 361.636 ns [360.405, 362.795] (0.95 confidence) | 356.108 ns [355.037, 356.669] (0.95 confidence) | — | — | +| rational_input_d3/solve_big_rational_gaussian | 7954.99 ns [7935.36, 7982.04] (0.95 confidence) | 8041.07 ns [8011.87, 8073.69] (0.95 confidence) | — | — | +| rational_input_d3/solve_row_cleared_bareiss | 2399.62 ns [2397.75, 2401.91] (0.95 confidence) | 2415.2 ns [2410.25, 2420.77] (0.95 confidence) | — | — | +| rational_input_d4/det_big_rational_gaussian | 13591.5 ns [13511.7, 13635.6] (0.95 confidence) | 13455.6 ns [13419.5, 13507.7] (0.95 confidence) | — | — | +| rational_input_d4/det_row_cleared_bareiss | 1142.12 ns [1138.56, 1143.7] (0.95 confidence) | 1145.98 ns [1143.13, 1147.91] (0.95 confidence) | — | — | +| rational_input_d4/det_sign_row_cleared_bareiss | 761.999 ns [759.33, 763.949] (0.95 confidence) | 756.302 ns [755.292, 757.201] (0.95 confidence) | — | — | +| rational_input_d4/solve_big_rational_gaussian | 23663.8 ns [23615.8, 23716.4] (0.95 confidence) | 23719.3 ns [23645.2, 23790.2] (0.95 confidence) | — | — | +| rational_input_d4/solve_row_cleared_bareiss | 5289.48 ns [5280.14, 5298.04] (0.95 confidence) | 5772.1 ns [5438.53, 5833.49] (0.95 confidence) | — | — | +| rational_input_d5/det_big_rational_gaussian | 23230.8 ns [23150.3, 23279.4] (0.95 confidence) | 23137 ns [23102.7, 23164.8] (0.95 confidence) | — | — | +| rational_input_d5/det_row_cleared_bareiss | 2055.03 ns [2051.28, 2060.1] (0.95 confidence) | 2077 ns [2074.49, 2079.9] (0.95 confidence) | — | — | +| rational_input_d5/det_sign_row_cleared_bareiss | 1538.17 ns [1535.12, 1542.43] (0.95 confidence) | 1571.96 ns [1570.15, 1575.37] (0.95 confidence) | — | — | +| rational_input_d5/solve_big_rational_gaussian | 39295.2 ns [39086.4, 39466.5] (0.95 confidence) | 39284.3 ns [39220, 39359.5] (0.95 confidence) | — | — | +| rational_input_d5/solve_row_cleared_bareiss | 9337.06 ns [9322.82, 9367.19] (0.95 confidence) | 9466.7 ns [9442.65, 9484.9] (0.95 confidence) | — | — | +| rational_input_d6/det_big_rational_gaussian | 56010.1 ns [55774.6, 56174.1] (0.95 confidence) | 56994.6 ns [56766, 57163.9] (0.95 confidence) | — | — | +| rational_input_d6/det_row_cleared_bareiss | 3600.36 ns [3590.3, 3610.64] (0.95 confidence) | 3634.44 ns [3625.5, 3643.79] (0.95 confidence) | — | — | +| rational_input_d6/det_sign_row_cleared_bareiss | 2941.38 ns [2937.33, 2948.15] (0.95 confidence) | 2981.62 ns [2978.38, 2987.35] (0.95 confidence) | — | — | +| rational_input_d6/solve_big_rational_gaussian | 89102.5 ns [88929.7, 89313.1] (0.95 confidence) | 90044.2 ns [89810.5, 90232.2] (0.95 confidence) | — | — | +| rational_input_d6/solve_row_cleared_bareiss | 17413.4 ns [17310.6, 17491.9] (0.95 confidence) | 17813.1 ns [17775.4, 17853] (0.95 confidence) | — | — | +| rational_input_d7/det_big_rational_gaussian | 108117 ns [107947, 108683] (0.95 confidence) | 110131 ns [109794, 110370] (0.95 confidence) | — | — | +| rational_input_d7/det_row_cleared_bareiss | 5842.88 ns [5824.17, 5856.91] (0.95 confidence) | 5874.12 ns [5853.19, 5886.59] (0.95 confidence) | — | — | +| rational_input_d7/det_sign_row_cleared_bareiss | 5000.46 ns [4988.05, 5011.27] (0.95 confidence) | 4997.34 ns [4990.86, 5005.29] (0.95 confidence) | — | — | +| rational_input_d7/solve_big_rational_gaussian | 158783 ns [158480, 159372] (0.95 confidence) | 162794 ns [162278, 163066] (0.95 confidence) | — | — | +| rational_input_d7/solve_row_cleared_bareiss | 28160.2 ns [28040.7, 28265.3] (0.95 confidence) | 28929.7 ns [28904, 28967.5] (0.95 confidence) | — | — | +| rational_input_d8/det_big_rational_gaussian | 187037 ns [186707, 187403] (0.95 confidence) | 190295 ns [189907, 190514] (0.95 confidence) | — | — | +| rational_input_d8/det_row_cleared_bareiss | 8821.33 ns [8793.62, 8847.83] (0.95 confidence) | 8890.39 ns [8876.42, 8901.57] (0.95 confidence) | — | — | +| rational_input_d8/det_sign_row_cleared_bareiss | 7984.02 ns [7972.89, 8000.1] (0.95 confidence) | 7938.35 ns [7921.87, 7948.98] (0.95 confidence) | — | — | +| rational_input_d8/solve_big_rational_gaussian | 261996 ns [261648, 262655] (0.95 confidence) | 268285 ns [267897, 268994] (0.95 confidence) | — | — | +| rational_input_d8/solve_row_cleared_bareiss | 40878.2 ns [40802.8, 40944] (0.95 confidence) | 41625.7 ns [41560.5, 41757.9] (0.95 confidence) | — | — | + +## Recorded measurement provenance + +These observations belong to the measured phases. Rerendering does not recapture the publisher's environment. + +### Baseline phase + +| Field | Recorded value | +| --- | --- | +| Release | v0.4.6 | +| Revision | 0215e65763f8eecb4bcad8bf29de4aca67531aa1 | +| Measurement mode | tag | +| Original source SHA-256 | d5054a85bd6b163fa142cb94ffc01a217d033893dd9ea8b5e422a442dcbc5074 | +| Measured source SHA-256 | c4756ecf0cde859b365b4c082e12fccf66f21b7e4752c323eb10e9a74bc4f6fa | +| Common harness SHA-256 | bdb17ee72a8f6482ab66fbd92781bba3137a02c528302068f1c3119dc547b17d | +| Fingerprint schema | research-repo-tools/files/v1 | +| OS | macOS-27.0.1-arm64-arm-64bit-Mach-O | +| Architecture | arm64 | +| CPU | Apple M4 Max (arm64) | +| Physical cores | 16 | +| Logical threads | 16 | +| Memory (bytes) | 68719476736 | +| Tool: cargo | cargo 1.99.0 (5f94df478 2026-08-27) | +| Tool: just | just 1.58.0 | +| Tool: rustc | rustc 1.99.0 (b940084d7 2026-09-28)
binary: rustc
commit-hash: b940084d7eb6a299eb4bfeb8e34901bc051e7ac4
commit-date: 2026-09-28
host: aarch64-apple-darwin
release: 1.99.0
LLVM version: 23.1.1 | +| Dependency: criterion | 0.8.2 | +| Dependency: faer | 0.24.4 | +| Dependency: nalgebra | 0.35.0 | +| Environment overrides (names only) | CARGO_TARGET_DIR, CRITERION_HOME, RUSTFLAGS, RUSTUP_TOOLCHAIN | +| Measurement command (argv) | ["just", "--justfile", "tooling/performance.just", "--working-directory", ".", "baseline-all"] | +| Independent correctness gate | passed | +| Gate command (argv) | ["just", "--justfile", "tooling/performance.just", "--working-directory", ".", "gate"] | + +### Current phase + +| Field | Recorded value | +| --- | --- | +| Release | v0.5.0 | +| Revision | 51868ea4725c1a4790bba4c59341d2113b18b2bb | +| Measurement mode | working-tree | +| Original source SHA-256 | 1d876cd1476f52283a2f9dbf1bdbf46baec54b86834115f1eddefee601ad6b68 | +| Measured source SHA-256 | 1d876cd1476f52283a2f9dbf1bdbf46baec54b86834115f1eddefee601ad6b68 | +| Common harness SHA-256 | bdb17ee72a8f6482ab66fbd92781bba3137a02c528302068f1c3119dc547b17d | +| Fingerprint schema | research-repo-tools/files/v1 | +| OS | macOS-27.0.1-arm64-arm-64bit-Mach-O | +| Architecture | arm64 | +| CPU | Apple M4 Max (arm64) | +| Physical cores | 16 | +| Logical threads | 16 | +| Memory (bytes) | 68719476736 | +| Tool: cargo | cargo 1.99.0 (5f94df478 2026-08-27) | +| Tool: just | just 1.58.0 | +| Tool: rustc | rustc 1.99.0 (b940084d7 2026-09-28)
binary: rustc
commit-hash: b940084d7eb6a299eb4bfeb8e34901bc051e7ac4
commit-date: 2026-09-28
host: aarch64-apple-darwin
release: 1.99.0
LLVM version: 23.1.1 | +| Dependency: criterion | 0.8.2 | +| Dependency: faer | 0.24.4 | +| Dependency: nalgebra | 0.35.0 | +| Environment overrides (names only) | CARGO_TARGET_DIR, CRITERION_HOME, RUSTFLAGS, RUSTUP_TOOLCHAIN | +| Measurement command (argv) | ["just", "--justfile", "tooling/performance.just", "--working-directory", ".", "current-all"] | +| Independent correctness gate | passed | +| Gate command (argv) | ["just", "--justfile", "tooling/performance.just", "--working-directory", ".", "gate"] | diff --git a/docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/run.json b/docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/run.json new file mode 100644 index 0000000..c4bf424 --- /dev/null +++ b/docs/performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/run.json @@ -0,0 +1,9409 @@ +{ + "compatible": [ + "context.architecture", + "context.cpu", + "context.dependency.criterion", + "context.dependency.faer", + "context.dependency.nalgebra", + "context.os", + "context.tool.cargo", + "context.tool.just", + "context.tool.rustc", + "harness_sha256" + ], + "phases": { + "baseline": { + "cases": [ + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2QyIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2QyL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9iZWxvd19vdmVyZmxvd19kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDIvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2QyIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDIvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDIvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2QzIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2QzL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9iZWxvd19vdmVyZmxvd19kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDMvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "storage_path": "canonical_conversion_below_overflow_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2QzIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDMvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDMvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q0IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q0L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9iZWxvd19vdmVyZmxvd19kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDQvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q0IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDQvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDQvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q1IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q1L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9iZWxvd19vdmVyZmxvd19kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDUvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q1IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDUvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDUvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMiIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDIvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2QyL3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMiIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMi9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2QyL3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMyIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDMvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2QzL3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMyIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMy9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2QzL3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNCIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDQvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2Q0L3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNCIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNC9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2Q0L3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNSIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDUvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2Q1L3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNSIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNS9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2Q1L3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDIiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMi9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMi9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDIiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9taW5fc3Vibm9ybWFsX2QyL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMi9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDMiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMy9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMy9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDMiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9taW5fc3Vibm9ybWFsX2QzL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMy9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDQiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNC9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNC9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDQiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9taW5fc3Vibm9ybWFsX2Q0L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNC9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDUiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNS9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNS9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDUiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9taW5fc3Vibm9ybWFsX2Q1L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNS9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMiIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDIvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2QyL3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMiIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMi9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2QyL3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMyIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDMvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2QzL3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMyIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMy9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2QzL3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNCIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDQvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2Q0L3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNCIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNC9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2Q0L3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNSIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDUvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2Q1L3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNSIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNS9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2Q1L3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDIiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMi9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMi9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDIiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9ub25fZHlhZGljX2QyL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMi9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDMiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMy9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMy9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDMiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9ub25fZHlhZGljX2QzL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMy9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDQiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNC9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNC9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDQiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9ub25fZHlhZGljX2Q0L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNC9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDUiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNS9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNS9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDUiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9ub25fZHlhZGljX2Q1L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNS9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QyIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QyL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9vdmVyZmxvd19taWRwb2ludF9kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDIvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QyIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDIvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDIvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QzIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QzL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9vdmVyZmxvd19taWRwb2ludF9kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDMvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QzIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDMvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDMvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q0IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q0L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9vdmVyZmxvd19taWRwb2ludF9kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDQvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q0IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDQvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDQvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q1IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q1L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9vdmVyZmxvd19taWRwb2ludF9kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDUvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q1IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDUvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDUvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QyL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMTAyNF9kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDIvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDIvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDIvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QzL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMTAyNF9kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDMvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDMvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDMvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q0L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMTAyNF9kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDQvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDQvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDQvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q1L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMTAyNF9kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDUvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDUvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDUvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMi9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMi9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMjU2X2QyL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMi9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMy9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMy9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMjU2X2QzL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMy9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNC9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNC9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMjU2X2Q0L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNC9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDUiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNS9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNS9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDUiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMjU2X2Q1L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNS9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvZGVsYXVuYXlfc2NhbGVkX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9kZWxhdW5heV9zY2FsZWRfbm9ybSIsInRpdGxlIjoiZDE2L2RlbGF1bmF5X3NjYWxlZF9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/delaunay_scaled_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDE2L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/delaunay_scaled_norm_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDE2L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/delaunay_scaled_norm_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDE2L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/delaunay_scaled_norm_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDE2L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2ZhZXJfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2ZhZXJfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDE2L2ZhZXJfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9mYWVyX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvZmFlcl9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDE2L2ZhZXJfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2ZhZXJfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2ZhZXJfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDE2L2ZhZXJfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kb3RfbmF0aXZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2ZhZXJfZG90X25hdGl2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2ZhZXJfZG90X25hdGl2ZSIsInRpdGxlIjoiZDE2L2ZhZXJfZG90X25hdGl2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_dot_native" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9mYWVyX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvZmFlcl9pbmZfbm9ybSIsInRpdGxlIjoiZDE2L2ZhZXJfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2ZhZXJfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2ZhZXJfbGRsdCIsInRpdGxlIjoiZDE2L2ZhZXJfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2ZhZXJfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2ZhZXJfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDE2L2ZhZXJfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9mYWVyX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvZmFlcl9sdSIsInRpdGxlIjoiZDE2L2ZhZXJfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9mYWVyX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoiZDE2L2ZhZXJfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9mYWVyX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvZmFlcl9ub3JtMl9zcSIsInRpdGxlIjoiZDE2L2ZhZXJfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9ub3JtX2wyIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2ZhZXJfbm9ybV9sMiIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2ZhZXJfbm9ybV9sMiIsInRpdGxlIjoiZDE2L2ZhZXJfbm9ybV9sMiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_norm_l2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvZmFlcl9zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9mYWVyX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDE2L2ZhZXJfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDE2L2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9pdGVyYXRpdmVfZjY0X2h5cG90IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInRpdGxlIjoiZDE2L2l0ZXJhdGl2ZV9mNjRfaHlwb3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/iterative_f64_hypot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDE2L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/iterative_f64_hypot_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDE2L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "storage_path": "d16/iterative_f64_hypot_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDE2L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/iterative_f64_hypot_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDE2L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/iterative_f64_hypot_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2xhX3N0YWNrX2RldCIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2RldCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19kZXRfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2RldF9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2RldF9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X3ZpYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19kZXRfdmlhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2RldF92aWFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2xhX3N0YWNrX2RvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2RvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfaW5mX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfaW5mX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2luZl9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdF9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19sZGx0X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2xkbHRfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19sdSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfbm9ybTIiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc3EiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfbm9ybTJfc3EiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NxIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfY2hvbGVza3kiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbmFsZ2VicmFfY2hvbGVza3kiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9uYWxnZWJyYV9jaG9sZXNreSIsInRpdGxlIjoiZDE2L25hbGdlYnJhX2Nob2xlc2t5In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/nalgebra_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfY2hvbGVza3lfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbmFsZ2VicmFfY2hvbGVza3lfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9uYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInRpdGxlIjoiZDE2L25hbGdlYnJhX2Nob2xlc2t5X3NvbHZlIn0=", + "estimates": 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+ "storage_path": "d16/nalgebra_cholesky_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfZGV0X2Zyb21fY2hvbGVza3kiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbmFsZ2VicmFfZGV0X2Zyb21fY2hvbGVza3kiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9uYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDE2L25hbGdlYnJhX2RldF9mcm9tX2Nob2xlc2t5In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/nalgebra_det_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfZGV0X2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbmFsZ2VicmFfZGV0X2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9uYWxnZWJyYV9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDE2L25hbGdlYnJhX2RldF9mcm9tX2x1In0=", + "estimates": 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+ "storage_path": "d16/nalgebra_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfZGV0X3ZpYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9uYWxnZWJyYV9kZXRfdmlhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDE2L25hbGdlYnJhX2RldF92aWFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/nalgebra_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfZG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L25hbGdlYnJhX2RvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L25hbGdlYnJhX2RvdCIsInRpdGxlIjoiZDE2L25hbGdlYnJhX2RvdCJ9", + "estimates": 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+ "storage_path": "d16/nalgebra_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfaW5mX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbmFsZ2VicmFfaW5mX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9uYWxnZWJyYV9pbmZfbm9ybSIsInRpdGxlIjoiZDE2L25hbGdlYnJhX2luZl9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9uYWxnZWJyYV9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbmFsZ2VicmFfbm9ybSIsInRpdGxlIjoiZDE2L25hbGdlYnJhX25vcm0ifQ==", + "estimates": 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+ "storage_path": "d16/nalgebra_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbm9ybV9zcXVhcmVkIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L25hbGdlYnJhX25vcm1fc3F1YXJlZCIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L25hbGdlYnJhX25vcm1fc3F1YXJlZCIsInRpdGxlIjoiZDE2L25hbGdlYnJhX25vcm1fc3F1YXJlZCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/nalgebra_norm_squared" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9uYWxnZWJyYV9zb2x2ZV9mcm9tX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDE2L25hbGdlYnJhX3NvbHZlX2Zyb21fY2hvbGVza3kifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/nalgebra_solve_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDE2L25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2RlbGF1bmF5X3NjYWxlZF9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9kZWxhdW5heV9zY2FsZWRfbm9ybSIsInRpdGxlIjoiZDIvZGVsYXVuYXlfc2NhbGVkX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/delaunay_scaled_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDIvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDIvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/delaunay_scaled_norm_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDIvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/delaunay_scaled_norm_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDIvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/delaunay_scaled_norm_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDIvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9mYWVyX2RldF9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2ZhZXJfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDIvZmFlcl9kZXRfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvZmFlcl9kZXRfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvZmFlcl9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDIvZmFlcl9kZXRfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF92aWFfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9mYWVyX2RldF92aWFfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2ZhZXJfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDIvZmFlcl9kZXRfdmlhX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX2RvdF9uYXRpdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9mYWVyX2RvdF9uYXRpdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2ZhZXJfZG90X25hdGl2ZSIsInRpdGxlIjoiZDIvZmFlcl9kb3RfbmF0aXZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_dot_native" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX2luZl9ub3JtIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvZmFlcl9pbmZfbm9ybSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvZmFlcl9pbmZfbm9ybSIsInRpdGxlIjoiZDIvZmFlcl9pbmZfbm9ybSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9mYWVyX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2ZhZXJfbGRsdCIsInRpdGxlIjoiZDIvZmFlcl9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX2xkbHRfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9mYWVyX2xkbHRfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2ZhZXJfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDIvZmFlcl9sZGx0X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvZmFlcl9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvZmFlcl9sdSIsInRpdGxlIjoiZDIvZmFlcl9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvZmFlcl9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoiZDIvZmFlcl9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX25vcm0yX3NxIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvZmFlcl9ub3JtMl9zcSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvZmFlcl9ub3JtMl9zcSIsInRpdGxlIjoiZDIvZmFlcl9ub3JtMl9zcSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX25vcm1fbDIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9mYWVyX25vcm1fbDIiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2ZhZXJfbm9ybV9sMiIsInRpdGxlIjoiZDIvZmFlcl9ub3JtX2wyIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_norm_l2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2ZhZXJfc29sdmVfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkMi9mYWVyX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDIvZmFlcl9zb2x2ZV9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9mYWVyX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDIvZmFlcl9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDIvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInRpdGxlIjoiZDIvaXRlcmF0aXZlX2Y2NF9oeXBvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/iterative_f64_hypot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmciLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmciLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDIvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/iterative_f64_hypot_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDIvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/iterative_f64_hypot_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDIvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/iterative_f64_hypot_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDIvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UifQ==", + "estimates": 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+ "storage_path": "d2/iterative_f64_hypot_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9sYV9zdGFja19kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDIvbGFfc3RhY2tfZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDIvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9sYV9zdGFja19kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDIvbGFfc3RhY2tfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19sdSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX25vcm0yIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTIifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9sYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL25hbGdlYnJhX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkMi9uYWxnZWJyYV9jaG9sZXNreSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfY2hvbGVza3kifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL25hbGdlYnJhX2Nob2xlc2t5X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9uYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfY2hvbGVza3lfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_cholesky_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL25hbGdlYnJhX2RldF9mcm9tX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkMi9uYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfZGV0X2Zyb21fY2hvbGVza3kifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_det_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL25hbGdlYnJhX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMi9uYWxnZWJyYV9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9uYWxnZWJyYV9kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL25hbGdlYnJhX2RvdCIsInRpdGxlIjoiZDIvbmFsZ2VicmFfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL25hbGdlYnJhX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9uYWxnZWJyYV9pbmZfbm9ybSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL25hbGdlYnJhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMi9uYWxnZWJyYV9sdSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL25hbGdlYnJhX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9ub3JtIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbmFsZ2VicmFfbm9ybSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbmFsZ2VicmFfbm9ybSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfbm9ybSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9ub3JtX3NxdWFyZWQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9uYWxnZWJyYV9ub3JtX3NxdWFyZWQiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL25hbGdlYnJhX25vcm1fc3F1YXJlZCIsInRpdGxlIjoiZDIvbmFsZ2VicmFfbm9ybV9zcXVhcmVkIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_norm_squared" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2Nob2xlc2t5IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_solve_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDIvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2RlbGF1bmF5X3NjYWxlZF9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9kZWxhdW5heV9zY2FsZWRfbm9ybSIsInRpdGxlIjoiZDMvZGVsYXVuYXlfc2NhbGVkX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/delaunay_scaled_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDMvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDMvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/delaunay_scaled_norm_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDMvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/delaunay_scaled_norm_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDMvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/delaunay_scaled_norm_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDMvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9mYWVyX2RldF9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2ZhZXJfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDMvZmFlcl9kZXRfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvZmFlcl9kZXRfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvZmFlcl9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDMvZmFlcl9kZXRfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF92aWFfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9mYWVyX2RldF92aWFfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2ZhZXJfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDMvZmFlcl9kZXRfdmlhX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX2RvdF9uYXRpdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9mYWVyX2RvdF9uYXRpdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2ZhZXJfZG90X25hdGl2ZSIsInRpdGxlIjoiZDMvZmFlcl9kb3RfbmF0aXZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_dot_native" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX2luZl9ub3JtIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvZmFlcl9pbmZfbm9ybSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvZmFlcl9pbmZfbm9ybSIsInRpdGxlIjoiZDMvZmFlcl9pbmZfbm9ybSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9mYWVyX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2ZhZXJfbGRsdCIsInRpdGxlIjoiZDMvZmFlcl9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX2xkbHRfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9mYWVyX2xkbHRfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2ZhZXJfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDMvZmFlcl9sZGx0X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvZmFlcl9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvZmFlcl9sdSIsInRpdGxlIjoiZDMvZmFlcl9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvZmFlcl9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoiZDMvZmFlcl9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX25vcm0yX3NxIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvZmFlcl9ub3JtMl9zcSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvZmFlcl9ub3JtMl9zcSIsInRpdGxlIjoiZDMvZmFlcl9ub3JtMl9zcSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX25vcm1fbDIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9mYWVyX25vcm1fbDIiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2ZhZXJfbm9ybV9sMiIsInRpdGxlIjoiZDMvZmFlcl9ub3JtX2wyIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_norm_l2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2ZhZXJfc29sdmVfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkMy9mYWVyX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDMvZmFlcl9zb2x2ZV9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9mYWVyX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDMvZmFlcl9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInRpdGxlIjoiZDMvaXRlcmF0aXZlX2Y2NF9oeXBvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/iterative_f64_hypot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmciLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmciLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDMvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/iterative_f64_hypot_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDMvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/iterative_f64_hypot_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDMvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/iterative_f64_hypot_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDMvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/iterative_f64_hypot_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9sYV9zdGFja19kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDMvbGFfc3RhY2tfZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDMvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9sYV9zdGFja19kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDMvbGFfc3RhY2tfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19sdSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX25vcm0yIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTIifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9sYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9sYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL25hbGdlYnJhX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkMy9uYWxnZWJyYV9jaG9sZXNreSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfY2hvbGVza3kifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL25hbGdlYnJhX2Nob2xlc2t5X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9uYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfY2hvbGVza3lfc29sdmUifQ==", + "estimates": 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+ "storage_path": "d3/nalgebra_cholesky_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL25hbGdlYnJhX2RldF9mcm9tX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkMy9uYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfZGV0X2Zyb21fY2hvbGVza3kifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_det_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL25hbGdlYnJhX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMy9uYWxnZWJyYV9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9uYWxnZWJyYV9kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL25hbGdlYnJhX2RvdCIsInRpdGxlIjoiZDMvbmFsZ2VicmFfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL25hbGdlYnJhX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9uYWxnZWJyYV9pbmZfbm9ybSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL25hbGdlYnJhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMy9uYWxnZWJyYV9sdSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL25hbGdlYnJhX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9ub3JtIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbmFsZ2VicmFfbm9ybSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbmFsZ2VicmFfbm9ybSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfbm9ybSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9ub3JtX3NxdWFyZWQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9uYWxnZWJyYV9ub3JtX3NxdWFyZWQiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL25hbGdlYnJhX25vcm1fc3F1YXJlZCIsInRpdGxlIjoiZDMvbmFsZ2VicmFfbm9ybV9zcXVhcmVkIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_norm_squared" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2Nob2xlc2t5IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_solve_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDMvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvZGVsYXVuYXlfc2NhbGVkX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9kZWxhdW5heV9zY2FsZWRfbm9ybSIsInRpdGxlIjoiZDMyL2RlbGF1bmF5X3NjYWxlZF9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/delaunay_scaled_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDMyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/delaunay_scaled_norm_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDMyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/delaunay_scaled_norm_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDMyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/delaunay_scaled_norm_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDMyL2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2ZhZXJfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2ZhZXJfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDMyL2ZhZXJfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9mYWVyX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvZmFlcl9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDMyL2ZhZXJfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2ZhZXJfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2ZhZXJfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDMyL2ZhZXJfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kb3RfbmF0aXZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2ZhZXJfZG90X25hdGl2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2ZhZXJfZG90X25hdGl2ZSIsInRpdGxlIjoiZDMyL2ZhZXJfZG90X25hdGl2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_dot_native" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9mYWVyX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvZmFlcl9pbmZfbm9ybSIsInRpdGxlIjoiZDMyL2ZhZXJfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2ZhZXJfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2ZhZXJfbGRsdCIsInRpdGxlIjoiZDMyL2ZhZXJfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2ZhZXJfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2ZhZXJfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDMyL2ZhZXJfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9mYWVyX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvZmFlcl9sdSIsInRpdGxlIjoiZDMyL2ZhZXJfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9mYWVyX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoiZDMyL2ZhZXJfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9mYWVyX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvZmFlcl9ub3JtMl9zcSIsInRpdGxlIjoiZDMyL2ZhZXJfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9ub3JtX2wyIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2ZhZXJfbm9ybV9sMiIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2ZhZXJfbm9ybV9sMiIsInRpdGxlIjoiZDMyL2ZhZXJfbm9ybV9sMiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_norm_l2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvZmFlcl9zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9mYWVyX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDMyL2ZhZXJfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDMyL2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9pdGVyYXRpdmVfZjY0X2h5cG90IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInRpdGxlIjoiZDMyL2l0ZXJhdGl2ZV9mNjRfaHlwb3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/iterative_f64_hypot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDMyL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/iterative_f64_hypot_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDMyL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "storage_path": "d32/iterative_f64_hypot_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDMyL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/iterative_f64_hypot_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDMyL2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/iterative_f64_hypot_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2xhX3N0YWNrX2RldCIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2RldCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19kZXRfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2RldF9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2RldF9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X3ZpYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19kZXRfdmlhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2RldF92aWFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2xhX3N0YWNrX2RvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2RvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfaW5mX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfaW5mX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2luZl9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdF9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19sZGx0X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2xkbHRfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19sdSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfbm9ybTIiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc3EiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfbm9ybTJfc3EiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NxIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfY2hvbGVza3kiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbmFsZ2VicmFfY2hvbGVza3kiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9uYWxnZWJyYV9jaG9sZXNreSIsInRpdGxlIjoiZDMyL25hbGdlYnJhX2Nob2xlc2t5In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/nalgebra_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfY2hvbGVza3lfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbmFsZ2VicmFfY2hvbGVza3lfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9uYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInRpdGxlIjoiZDMyL25hbGdlYnJhX2Nob2xlc2t5X3NvbHZlIn0=", + "estimates": 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+ "storage_path": "d32/nalgebra_cholesky_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfZGV0X2Zyb21fY2hvbGVza3kiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbmFsZ2VicmFfZGV0X2Zyb21fY2hvbGVza3kiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9uYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDMyL25hbGdlYnJhX2RldF9mcm9tX2Nob2xlc2t5In0=", + "estimates": 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+ "storage_path": "d32/nalgebra_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfZGV0X3ZpYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9uYWxnZWJyYV9kZXRfdmlhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDMyL25hbGdlYnJhX2RldF92aWFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/nalgebra_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfZG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL25hbGdlYnJhX2RvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL25hbGdlYnJhX2RvdCIsInRpdGxlIjoiZDMyL25hbGdlYnJhX2RvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/nalgebra_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfaW5mX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbmFsZ2VicmFfaW5mX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9uYWxnZWJyYV9pbmZfbm9ybSIsInRpdGxlIjoiZDMyL25hbGdlYnJhX2luZl9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/nalgebra_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbmFsZ2VicmFfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9uYWxnZWJyYV9sdSIsInRpdGxlIjoiZDMyL25hbGdlYnJhX2x1In0=", + "estimates": 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+ "storage_path": "d32/nalgebra_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbmFsZ2VicmFfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoiZDMyL25hbGdlYnJhX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9uYWxnZWJyYV9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbmFsZ2VicmFfbm9ybSIsInRpdGxlIjoiZDMyL25hbGdlYnJhX25vcm0ifQ==", + "estimates": 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+ "storage_path": "d32/nalgebra_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbm9ybV9zcXVhcmVkIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL25hbGdlYnJhX25vcm1fc3F1YXJlZCIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL25hbGdlYnJhX25vcm1fc3F1YXJlZCIsInRpdGxlIjoiZDMyL25hbGdlYnJhX25vcm1fc3F1YXJlZCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/nalgebra_norm_squared" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9uYWxnZWJyYV9zb2x2ZV9mcm9tX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDMyL25hbGdlYnJhX3NvbHZlX2Zyb21fY2hvbGVza3kifQ==", + "estimates": 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+ "storage_path": "d32/nalgebra_solve_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDMyL25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2RlbGF1bmF5X3NjYWxlZF9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9kZWxhdW5heV9zY2FsZWRfbm9ybSIsInRpdGxlIjoiZDQvZGVsYXVuYXlfc2NhbGVkX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/delaunay_scaled_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDQvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDQvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/delaunay_scaled_norm_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDQvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/delaunay_scaled_norm_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDQvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/delaunay_scaled_norm_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDQvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9mYWVyX2RldF9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2ZhZXJfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDQvZmFlcl9kZXRfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvZmFlcl9kZXRfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvZmFlcl9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDQvZmFlcl9kZXRfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF92aWFfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9mYWVyX2RldF92aWFfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2ZhZXJfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDQvZmFlcl9kZXRfdmlhX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RvdF9uYXRpdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9mYWVyX2RvdF9uYXRpdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2ZhZXJfZG90X25hdGl2ZSIsInRpdGxlIjoiZDQvZmFlcl9kb3RfbmF0aXZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_dot_native" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX2luZl9ub3JtIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvZmFlcl9pbmZfbm9ybSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvZmFlcl9pbmZfbm9ybSIsInRpdGxlIjoiZDQvZmFlcl9pbmZfbm9ybSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9mYWVyX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2ZhZXJfbGRsdCIsInRpdGxlIjoiZDQvZmFlcl9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX2xkbHRfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9mYWVyX2xkbHRfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2ZhZXJfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDQvZmFlcl9sZGx0X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvZmFlcl9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvZmFlcl9sdSIsInRpdGxlIjoiZDQvZmFlcl9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvZmFlcl9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoiZDQvZmFlcl9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX25vcm0yX3NxIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvZmFlcl9ub3JtMl9zcSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvZmFlcl9ub3JtMl9zcSIsInRpdGxlIjoiZDQvZmFlcl9ub3JtMl9zcSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX25vcm1fbDIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9mYWVyX25vcm1fbDIiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2ZhZXJfbm9ybV9sMiIsInRpdGxlIjoiZDQvZmFlcl9ub3JtX2wyIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_norm_l2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2ZhZXJfc29sdmVfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkNC9mYWVyX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDQvZmFlcl9zb2x2ZV9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9mYWVyX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDQvZmFlcl9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDQvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInRpdGxlIjoiZDQvaXRlcmF0aXZlX2Y2NF9oeXBvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/iterative_f64_hypot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmciLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmciLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDQvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/iterative_f64_hypot_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDQvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/iterative_f64_hypot_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDQvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/iterative_f64_hypot_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDQvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/iterative_f64_hypot_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9sYV9zdGFja19kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDQvbGFfc3RhY2tfZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDQvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9sYV9zdGFja19kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDQvbGFfc3RhY2tfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19sdSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX25vcm0yIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTIifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9sYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L25hbGdlYnJhX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkNC9uYWxnZWJyYV9jaG9sZXNreSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfY2hvbGVza3kifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L25hbGdlYnJhX2Nob2xlc2t5X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9uYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfY2hvbGVza3lfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_cholesky_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L25hbGdlYnJhX2RldF9mcm9tX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkNC9uYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfZGV0X2Zyb21fY2hvbGVza3kifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_det_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L25hbGdlYnJhX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNC9uYWxnZWJyYV9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9uYWxnZWJyYV9kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L25hbGdlYnJhX2RvdCIsInRpdGxlIjoiZDQvbmFsZ2VicmFfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L25hbGdlYnJhX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9uYWxnZWJyYV9pbmZfbm9ybSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L25hbGdlYnJhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNC9uYWxnZWJyYV9sdSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L25hbGdlYnJhX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9ub3JtIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbmFsZ2VicmFfbm9ybSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbmFsZ2VicmFfbm9ybSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfbm9ybSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9ub3JtX3NxdWFyZWQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9uYWxnZWJyYV9ub3JtX3NxdWFyZWQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L25hbGdlYnJhX25vcm1fc3F1YXJlZCIsInRpdGxlIjoiZDQvbmFsZ2VicmFfbm9ybV9zcXVhcmVkIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_norm_squared" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2Nob2xlc2t5IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_solve_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDQvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2RlbGF1bmF5X3NjYWxlZF9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9kZWxhdW5heV9zY2FsZWRfbm9ybSIsInRpdGxlIjoiZDUvZGVsYXVuYXlfc2NhbGVkX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/delaunay_scaled_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDUvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDUvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/delaunay_scaled_norm_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDUvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/delaunay_scaled_norm_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDUvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/delaunay_scaled_norm_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDUvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9mYWVyX2RldF9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2ZhZXJfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDUvZmFlcl9kZXRfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvZmFlcl9kZXRfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvZmFlcl9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDUvZmFlcl9kZXRfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF92aWFfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9mYWVyX2RldF92aWFfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2ZhZXJfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDUvZmFlcl9kZXRfdmlhX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RvdF9uYXRpdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9mYWVyX2RvdF9uYXRpdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2ZhZXJfZG90X25hdGl2ZSIsInRpdGxlIjoiZDUvZmFlcl9kb3RfbmF0aXZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_dot_native" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX2luZl9ub3JtIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvZmFlcl9pbmZfbm9ybSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvZmFlcl9pbmZfbm9ybSIsInRpdGxlIjoiZDUvZmFlcl9pbmZfbm9ybSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9mYWVyX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2ZhZXJfbGRsdCIsInRpdGxlIjoiZDUvZmFlcl9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX2xkbHRfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9mYWVyX2xkbHRfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2ZhZXJfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDUvZmFlcl9sZGx0X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvZmFlcl9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvZmFlcl9sdSIsInRpdGxlIjoiZDUvZmFlcl9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvZmFlcl9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoiZDUvZmFlcl9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX25vcm0yX3NxIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvZmFlcl9ub3JtMl9zcSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvZmFlcl9ub3JtMl9zcSIsInRpdGxlIjoiZDUvZmFlcl9ub3JtMl9zcSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX25vcm1fbDIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9mYWVyX25vcm1fbDIiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2ZhZXJfbm9ybV9sMiIsInRpdGxlIjoiZDUvZmFlcl9ub3JtX2wyIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_norm_l2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2ZhZXJfc29sdmVfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkNS9mYWVyX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDUvZmFlcl9zb2x2ZV9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9mYWVyX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDUvZmFlcl9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDUvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInRpdGxlIjoiZDUvaXRlcmF0aXZlX2Y2NF9oeXBvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/iterative_f64_hypot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmciLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmciLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDUvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/iterative_f64_hypot_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDUvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/iterative_f64_hypot_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDUvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/iterative_f64_hypot_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDUvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/iterative_f64_hypot_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9sYV9zdGFja19kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDUvbGFfc3RhY2tfZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDUvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9sYV9zdGFja19kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDUvbGFfc3RhY2tfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19sdSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX25vcm0yIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTIifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "storage_path": "d5/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9sYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9sYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L25hbGdlYnJhX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkNS9uYWxnZWJyYV9jaG9sZXNreSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfY2hvbGVza3kifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L25hbGdlYnJhX2Nob2xlc2t5X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9uYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfY2hvbGVza3lfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_cholesky_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L25hbGdlYnJhX2RldF9mcm9tX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkNS9uYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfZGV0X2Zyb21fY2hvbGVza3kifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_det_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L25hbGdlYnJhX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNS9uYWxnZWJyYV9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9uYWxnZWJyYV9kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L25hbGdlYnJhX2RvdCIsInRpdGxlIjoiZDUvbmFsZ2VicmFfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L25hbGdlYnJhX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9uYWxnZWJyYV9pbmZfbm9ybSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L25hbGdlYnJhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNS9uYWxnZWJyYV9sdSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L25hbGdlYnJhX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9ub3JtIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbmFsZ2VicmFfbm9ybSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbmFsZ2VicmFfbm9ybSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfbm9ybSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9ub3JtX3NxdWFyZWQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9uYWxnZWJyYV9ub3JtX3NxdWFyZWQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L25hbGdlYnJhX25vcm1fc3F1YXJlZCIsInRpdGxlIjoiZDUvbmFsZ2VicmFfbm9ybV9zcXVhcmVkIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_norm_squared" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2Nob2xlc2t5IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_solve_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDUvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvZGVsYXVuYXlfc2NhbGVkX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9kZWxhdW5heV9zY2FsZWRfbm9ybSIsInRpdGxlIjoiZDY0L2RlbGF1bmF5X3NjYWxlZF9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/delaunay_scaled_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDY0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/delaunay_scaled_norm_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDY0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/delaunay_scaled_norm_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDY0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/delaunay_scaled_norm_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDY0L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2ZhZXJfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2ZhZXJfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDY0L2ZhZXJfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9mYWVyX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvZmFlcl9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDY0L2ZhZXJfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2ZhZXJfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2ZhZXJfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDY0L2ZhZXJfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9kb3RfbmF0aXZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2ZhZXJfZG90X25hdGl2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2ZhZXJfZG90X25hdGl2ZSIsInRpdGxlIjoiZDY0L2ZhZXJfZG90X25hdGl2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_dot_native" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9mYWVyX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvZmFlcl9pbmZfbm9ybSIsInRpdGxlIjoiZDY0L2ZhZXJfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2ZhZXJfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2ZhZXJfbGRsdCIsInRpdGxlIjoiZDY0L2ZhZXJfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2ZhZXJfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2ZhZXJfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDY0L2ZhZXJfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9mYWVyX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvZmFlcl9sdSIsInRpdGxlIjoiZDY0L2ZhZXJfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9mYWVyX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoiZDY0L2ZhZXJfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9mYWVyX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvZmFlcl9ub3JtMl9zcSIsInRpdGxlIjoiZDY0L2ZhZXJfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9ub3JtX2wyIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2ZhZXJfbm9ybV9sMiIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2ZhZXJfbm9ybV9sMiIsInRpdGxlIjoiZDY0L2ZhZXJfbm9ybV9sMiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_norm_l2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvZmFlcl9zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9mYWVyX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDY0L2ZhZXJfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDY0L2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9pdGVyYXRpdmVfZjY0X2h5cG90IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInRpdGxlIjoiZDY0L2l0ZXJhdGl2ZV9mNjRfaHlwb3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/iterative_f64_hypot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDY0L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/iterative_f64_hypot_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDY0L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "storage_path": "d64/iterative_f64_hypot_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDY0L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/iterative_f64_hypot_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoiaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDY0L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "storage_path": "d64/iterative_f64_hypot_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2xhX3N0YWNrX2RldCIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2RldCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19kZXRfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2RldF9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2RldF9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X3ZpYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19kZXRfdmlhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2RldF92aWFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2xhX3N0YWNrX2RvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2RvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfaW5mX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfaW5mX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2luZl9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdF9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19sZGx0X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2xkbHRfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19sdSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfbm9ybTIiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc3EiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfbm9ybTJfc3EiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NxIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfY2hvbGVza3kiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbmFsZ2VicmFfY2hvbGVza3kiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9uYWxnZWJyYV9jaG9sZXNreSIsInRpdGxlIjoiZDY0L25hbGdlYnJhX2Nob2xlc2t5In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/nalgebra_det_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfZGV0X2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbmFsZ2VicmFfZGV0X2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9uYWxnZWJyYV9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDY0L25hbGdlYnJhX2RldF9mcm9tX2x1In0=", + "estimates": 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+ "storage_path": "d64/nalgebra_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfZGV0X3ZpYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9uYWxnZWJyYV9kZXRfdmlhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDY0L25hbGdlYnJhX2RldF92aWFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/nalgebra_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfZG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L25hbGdlYnJhX2RvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L25hbGdlYnJhX2RvdCIsInRpdGxlIjoiZDY0L25hbGdlYnJhX2RvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/nalgebra_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfaW5mX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbmFsZ2VicmFfaW5mX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9uYWxnZWJyYV9pbmZfbm9ybSIsInRpdGxlIjoiZDY0L25hbGdlYnJhX2luZl9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "d64/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9uYWxnZWJyYV9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbmFsZ2VicmFfbm9ybSIsInRpdGxlIjoiZDY0L25hbGdlYnJhX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/nalgebra_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbm9ybV9zcXVhcmVkIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L25hbGdlYnJhX25vcm1fc3F1YXJlZCIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L25hbGdlYnJhX25vcm1fc3F1YXJlZCIsInRpdGxlIjoiZDY0L25hbGdlYnJhX25vcm1fc3F1YXJlZCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/nalgebra_norm_squared" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9uYWxnZWJyYV9zb2x2ZV9mcm9tX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDY0L25hbGdlYnJhX3NvbHZlX2Zyb21fY2hvbGVza3kifQ==", + "estimates": 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+ "storage_path": "d64/nalgebra_solve_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDY0L25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2RlbGF1bmF5X3NjYWxlZF9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9kZWxhdW5heV9zY2FsZWRfbm9ybSIsInRpdGxlIjoiZDgvZGVsYXVuYXlfc2NhbGVkX25vcm0ifQ==", + "estimates": 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+ "storage_path": "d8/delaunay_scaled_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDgvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDgvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/delaunay_scaled_norm_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDgvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/delaunay_scaled_norm_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDgvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/delaunay_scaled_norm_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJkZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9kZWxhdW5heV9zY2FsZWRfbm9ybV9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2RlbGF1bmF5X3NjYWxlZF9ub3JtX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDgvZGVsYXVuYXlfc2NhbGVkX25vcm1fbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9mYWVyX2RldF9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2ZhZXJfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDgvZmFlcl9kZXRfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvZmFlcl9kZXRfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvZmFlcl9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDgvZmFlcl9kZXRfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RldF92aWFfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9mYWVyX2RldF92aWFfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2ZhZXJfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDgvZmFlcl9kZXRfdmlhX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX2RvdF9uYXRpdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9mYWVyX2RvdF9uYXRpdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2ZhZXJfZG90X25hdGl2ZSIsInRpdGxlIjoiZDgvZmFlcl9kb3RfbmF0aXZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_dot_native" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX2luZl9ub3JtIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvZmFlcl9pbmZfbm9ybSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvZmFlcl9pbmZfbm9ybSIsInRpdGxlIjoiZDgvZmFlcl9pbmZfbm9ybSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9mYWVyX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2ZhZXJfbGRsdCIsInRpdGxlIjoiZDgvZmFlcl9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX2xkbHRfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9mYWVyX2xkbHRfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2ZhZXJfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDgvZmFlcl9sZGx0X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvZmFlcl9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvZmFlcl9sdSIsInRpdGxlIjoiZDgvZmFlcl9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvZmFlcl9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoiZDgvZmFlcl9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX25vcm0yX3NxIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvZmFlcl9ub3JtMl9zcSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvZmFlcl9ub3JtMl9zcSIsInRpdGxlIjoiZDgvZmFlcl9ub3JtMl9zcSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX25vcm1fbDIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9mYWVyX25vcm1fbDIiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2ZhZXJfbm9ybV9sMiIsInRpdGxlIjoiZDgvZmFlcl9ub3JtX2wyIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_norm_l2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2ZhZXJfc29sdmVfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkOC9mYWVyX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDgvZmFlcl9zb2x2ZV9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9mYWVyX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDgvZmFlcl9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDgvaXRlcmF0aXZlX2Y2NF9oeXBvdCIsInRpdGxlIjoiZDgvaXRlcmF0aXZlX2Y2NF9oeXBvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/iterative_f64_hypot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmciLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmciLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDgvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/iterative_f64_hypot_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDgvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/iterative_f64_hypot_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDgvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb19zcGFyc2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/iterative_f64_hypot_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJpdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2l0ZXJhdGl2ZV9mNjRfaHlwb3Rfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9pdGVyYXRpdmVfZjY0X2h5cG90X25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDgvaXRlcmF0aXZlX2Y2NF9oeXBvdF9ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/iterative_f64_hypot_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0X2JhbGFuY2VkX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdF9iYWxhbmNlZF9yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdF9iYWxhbmNlZF9yYW5nZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdF9iYWxhbmNlZF9yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det_from_ldlt_balanced_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdV9iYWxhbmNlZF9yYW5nZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2RldF9mcm9tX2x1X2JhbGFuY2VkX3JhbmdlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19kZXRfZnJvbV9sdV9iYWxhbmNlZF9yYW5nZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbHVfYmFsYW5jZWRfcmFuZ2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det_from_lu_balanced_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X2lsbF9jb25kaXRpb25lZCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2xkbHRfaWxsX2NvbmRpdGlvbmVkIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19sZGx0X2lsbF9jb25kaXRpb25lZCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbGRsdF9pbGxfY29uZGl0aW9uZWQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_ldlt_ill_conditioned" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19sdSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9pbGxfY29uZGl0aW9uZWQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19sdV9pbGxfY29uZGl0aW9uZWQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX2x1X2lsbF9jb25kaXRpb25lZCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbHVfaWxsX2NvbmRpdGlvbmVkIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_lu_ill_conditioned" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9waXZvdGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2x1X3Bpdm90aW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19sdV9waXZvdGluZyIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbHVfcGl2b3RpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_lu_pivoting" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX25vcm0yIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTIifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L25hbGdlYnJhX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkOC9uYWxnZWJyYV9jaG9sZXNreSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfY2hvbGVza3kifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L25hbGdlYnJhX2Nob2xlc2t5X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9uYWxnZWJyYV9jaG9sZXNreV9zb2x2ZSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfY2hvbGVza3lfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_cholesky_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L25hbGdlYnJhX2RldF9mcm9tX2Nob2xlc2t5IiwiZGlyZWN0b3J5X25hbWUiOiJkOC9uYWxnZWJyYV9kZXRfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfZGV0X2Zyb21fY2hvbGVza3kifQ==", + "estimates": 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+ "storage_path": "d8/nalgebra_det_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L25hbGdlYnJhX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkOC9uYWxnZWJyYV9kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbmFsZ2VicmFfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9uYWxnZWJyYV9kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L25hbGdlYnJhX2RvdCIsInRpdGxlIjoiZDgvbmFsZ2VicmFfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L25hbGdlYnJhX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9uYWxnZWJyYV9pbmZfbm9ybSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L25hbGdlYnJhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkOC9uYWxnZWJyYV9sdSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L25hbGdlYnJhX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9ub3JtIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbmFsZ2VicmFfbm9ybSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbmFsZ2VicmFfbm9ybSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfbm9ybSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9ub3JtX3NxdWFyZWQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9uYWxnZWJyYV9ub3JtX3NxdWFyZWQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L25hbGdlYnJhX25vcm1fc3F1YXJlZCIsInRpdGxlIjoiZDgvbmFsZ2VicmFfbm9ybV9zcXVhcmVkIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_norm_squared" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2Nob2xlc2t5IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfc29sdmVfZnJvbV9jaG9sZXNreSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_solve_from_cholesky" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDgvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19kZW5zZSIsImZ1bmN0aW9uX2lkIjoiZGV0X2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZGV0NF9kaWFnbm9zdGljX2RlbnNlL2RldF9leGFjdCIsImRpcmVjdG9yeV9uYW1lIjoiZGV0NF9kaWFnbm9zdGljX2RlbnNlL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX2RlbnNlL2RldF9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_dense/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19kZW5zZSIsImZ1bmN0aW9uX2lkIjoiZGV0X3NpZ25fZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkZXQ0X2RpYWdub3N0aWNfZGVuc2UvZGV0X3NpZ25fZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImRldDRfZGlhZ25vc3RpY19kZW5zZS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX2RlbnNlL2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_dense/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19sYXJnZV9lbnRyaWVzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkZXQ0X2RpYWdub3N0aWNfbGFyZ2VfZW50cmllcy9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImRldDRfZGlhZ25vc3RpY19sYXJnZV9lbnRyaWVzL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX2xhcmdlX2VudHJpZXMvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_large_entries/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19sYXJnZV9lbnRyaWVzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImRldDRfZGlhZ25vc3RpY19sYXJnZV9lbnRyaWVzL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJkZXQ0X2RpYWdub3N0aWNfbGFyZ2VfZW50cmllcy9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX2xhcmdlX2VudHJpZXMvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_large_entries/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19taXhlZF9leHBvbmVudHMiLCJmdW5jdGlvbl9pZCI6ImRldF9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImRldDRfZGlhZ25vc3RpY19taXhlZF9leHBvbmVudHMvZGV0X2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJkZXQ0X2RpYWdub3N0aWNfbWl4ZWRfZXhwb25lbnRzL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX21peGVkX2V4cG9uZW50cy9kZXRfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_mixed_exponents/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19taXhlZF9leHBvbmVudHMiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZGV0NF9kaWFnbm9zdGljX21peGVkX2V4cG9uZW50cy9kZXRfc2lnbl9leGFjdCIsImRpcmVjdG9yeV9uYW1lIjoiZGV0NF9kaWFnbm9zdGljX21peGVkX2V4cG9uZW50cy9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX21peGVkX2V4cG9uZW50cy9kZXRfc2lnbl9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_mixed_exponents/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX25lZ2F0aXZlIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkZXQ0X2RpYWdub3N0aWNfbmVhcl9zaW5ndWxhcl9uZWdhdGl2ZS9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX25lZ2F0aXZlL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX25lYXJfc2luZ3VsYXJfbmVnYXRpdmUvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_near_singular_negative/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX25lZ2F0aXZlIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX25lZ2F0aXZlL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJkZXQ0X2RpYWdub3N0aWNfbmVhcl9zaW5ndWxhcl9uZWdhdGl2ZS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX25lYXJfc2luZ3VsYXJfbmVnYXRpdmUvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_near_singular_negative/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX3Bvc2l0aXZlIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkZXQ0X2RpYWdub3N0aWNfbmVhcl9zaW5ndWxhcl9wb3NpdGl2ZS9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX3Bvc2l0aXZlL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX25lYXJfc2luZ3VsYXJfcG9zaXRpdmUvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_near_singular_positive/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX3Bvc2l0aXZlIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX3Bvc2l0aXZlL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJkZXQ0X2RpYWdub3N0aWNfbmVhcl9zaW5ndWxhcl9wb3NpdGl2ZS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX25lYXJfc2luZ3VsYXJfcG9zaXRpdmUvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_near_singular_positive/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19zaW5ndWxhciIsImZ1bmN0aW9uX2lkIjoiZGV0X2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZGV0NF9kaWFnbm9zdGljX3Npbmd1bGFyL2RldF9leGFjdCIsImRpcmVjdG9yeV9uYW1lIjoiZGV0NF9kaWFnbm9zdGljX3Npbmd1bGFyL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX3Npbmd1bGFyL2RldF9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_singular/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19zaW5ndWxhciIsImZ1bmN0aW9uX2lkIjoiZGV0X3NpZ25fZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkZXQ0X2RpYWdub3N0aWNfc2luZ3VsYXIvZGV0X3NpZ25fZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImRldDRfZGlhZ25vc3RpY19zaW5ndWxhci9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX3Npbmd1bGFyL2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_singular/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19zcGFyc2UiLCJmdW5jdGlvbl9pZCI6ImRldF9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImRldDRfZGlhZ25vc3RpY19zcGFyc2UvZGV0X2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJkZXQ0X2RpYWdub3N0aWNfc3BhcnNlL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX3NwYXJzZS9kZXRfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_sparse/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19zcGFyc2UiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZGV0NF9kaWFnbm9zdGljX3NwYXJzZS9kZXRfc2lnbl9leGFjdCIsImRpcmVjdG9yeV9uYW1lIjoiZGV0NF9kaWFnbm9zdGljX3NwYXJzZS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX3NwYXJzZS9kZXRfc2lnbl9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_sparse/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMi9kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QyL2RldCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDIvZGV0X2RpcmVjdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDIvZGV0X2RpcmVjdCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2RpcmVjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_direct" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMi9kZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QyL2RldF9kaXJlY3Rfd2l0aF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2RpcmVjdF93aXRoX2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_direct_with_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMi9kZXRfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QyL2RldF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMi9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QyL2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QyL2RldF9leGFjdF9mNjRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMi9kZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMi9kZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QyL2RldF9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QyL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMi9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QyL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMi9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDIvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDIvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDIvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDIvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QyL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMi9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDIvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMy9kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QzL2RldCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDMvZGV0X2RpcmVjdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDMvZGV0X2RpcmVjdCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2RpcmVjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_direct" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMy9kZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QzL2RldF9kaXJlY3Rfd2l0aF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2RpcmVjdF93aXRoX2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_direct_with_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMy9kZXRfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QzL2RldF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMy9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QzL2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QzL2RldF9leGFjdF9mNjRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMy9kZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMy9kZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QzL2RldF9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QzL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMy9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QzL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMy9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDMvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QzL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMy9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDMvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "storage_path": "exact_d3/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNC9kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q0L2RldCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDQvZGV0X2RpcmVjdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDQvZGV0X2RpcmVjdCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2RpcmVjdCJ9", + "estimates": 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+ "storage_path": "exact_d4/det_direct" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNC9kZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q0L2RldF9kaXJlY3Rfd2l0aF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2RpcmVjdF93aXRoX2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_direct_with_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNC9kZXRfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q0L2RldF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNC9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q0L2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q0L2RldF9leGFjdF9mNjRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNC9kZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNC9kZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q0L2RldF9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q0L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNC9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q0L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNC9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDQvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q0L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNC9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDQvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNS9kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q1L2RldCIsInRpdGxlIjoiZXhhY3RfZDUvZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNS9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q1L2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDUvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q1L2RldF9leGFjdF9mNjRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNS9kZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDUvZGV0X2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/det_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNS9kZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q1L2RldF9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDUvZGV0X2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/det_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q1L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDUvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q1L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNS9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDUvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q1L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNS9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDUvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9oaWxiZXJ0XzR4NC9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2hpbGJlcnRfNHg0L2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF80eDQvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_4x4/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9oaWxiZXJ0XzR4NC9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF80eDQvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_4x4/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9oaWxiZXJ0XzR4NC9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF80eDQvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_4x4/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfaGlsYmVydF80eDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfaGlsYmVydF80eDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF80eDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "exact_hilbert_4x4/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9oaWxiZXJ0XzV4NS9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2hpbGJlcnRfNXg1L2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF81eDUvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_5x5/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9oaWxiZXJ0XzV4NS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF81eDUvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_5x5/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9oaWxiZXJ0XzV4NS9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF81eDUvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "exact_hilbert_5x5/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9sYXJnZV9lbnRyaWVzXzN4My9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzL2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfbGFyZ2VfZW50cmllc18zeDMvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_large_entries_3x3/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9sYXJnZV9lbnRyaWVzXzN4My9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfbGFyZ2VfZW50cmllc18zeDMvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_large_entries_3x3/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9sYXJnZV9lbnRyaWVzXzN4My9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfbGFyZ2VfZW50cmllc18zeDMvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_large_entries_3x3/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfbGFyZ2VfZW50cmllc18zeDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfbGFyZ2VfZW50cmllc18zeDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfbGFyZ2VfZW50cmllc18zeDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "exact_near_singular_3x3/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9uZWFyX3Npbmd1bGFyXzN4My9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_near_singular_3x3/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9uZWFyX3Npbmd1bGFyXzN4My9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_near_singular_3x3/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_near_singular_3x3/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9uZWFyX3Npbmd1bGFyXzN4My9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_near_singular_3x3/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIiLCJmdW5jdGlvbl9pZCI6ImRldF9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6eyJFbGVtZW50cyI6NTB9LCJmdWxsX2lkIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kMi9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIvZGV0X2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL2RldF9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d2/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL2RldF9zaWduX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d2/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d2/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d2/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDMiLCJmdW5jdGlvbl9pZCI6ImRldF9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6eyJFbGVtZW50cyI6NTB9LCJmdWxsX2lkIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kMy9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDMvZGV0X2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL2RldF9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d3/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDMiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL2RldF9zaWduX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d3/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDMiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL3NvbHZlX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL3NvbHZlX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d4/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDQiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0In0=", + "estimates": 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+ "storage_path": "exact_random_corpus_d4/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDQiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0X2Y2NF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOnsiRWxlbWVudHMiOjUwfSwiZnVsbF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kNC9zb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d5/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L2RldF9zaWduX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d5/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d5/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0X2Y2NF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOnsiRWxlbWVudHMiOjUwfSwiZnVsbF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kNS9zb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d5/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d5/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMTYiLCJmdW5jdGlvbl9pZCI6ImZhZXJfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDE2L2ZhZXJfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMTYvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QxNi9mYWVyX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d16/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMTYiLCJmdW5jdGlvbl9pZCI6ImZhZXJfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMTYvZmFlcl9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDE2L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QxNi9mYWVyX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d16/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMTYiLCJmdW5jdGlvbl9pZCI6ImxhX3N0YWNrX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QxNi9sYV9zdGFja19sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QxNi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QxNi9sYV9zdGFja19sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d16/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMTYiLCJmdW5jdGlvbl9pZCI6ImxhX3N0YWNrX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMTYvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QxNi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d16/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMTYiLCJmdW5jdGlvbl9pZCI6Im5hbGdlYnJhX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QxNi9uYWxnZWJyYV9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QxNi9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QxNi9uYWxnZWJyYV9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d16/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMTYiLCJmdW5jdGlvbl9pZCI6Im5hbGdlYnJhX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDE2L25hbGdlYnJhX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMTYvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QxNi9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d16/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMi9mYWVyX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDIvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QyL2ZhZXJfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d2/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QyL2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QyL2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QyL2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d2/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDIvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QyL2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d2/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d2/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDIvbmFsZ2VicmFfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMi9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QyL25hbGdlYnJhX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d2/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMi9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDIvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QyL25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d2/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMyIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMy9mYWVyX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzL2ZhZXJfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d3/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMyIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzL2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzL2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzL2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d3/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMyIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMy9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzL2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d3/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMyIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMy9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzL2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d3/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMyIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMvbmFsZ2VicmFfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMy9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzL25hbGdlYnJhX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d3/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMyIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMy9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzL25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d3/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIiLCJmdW5jdGlvbl9pZCI6ImZhZXJfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMyL2ZhZXJfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9mYWVyX2x1X3NvbHZlIn0=", + "estimates": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d32/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIiLCJmdW5jdGlvbl9pZCI6ImZhZXJfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIvZmFlcl9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMyL2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9mYWVyX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d32/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIiLCJmdW5jdGlvbl9pZCI6ImxhX3N0YWNrX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9sYV9zdGFja19sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9sYV9zdGFja19sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d32/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIiLCJmdW5jdGlvbl9pZCI6ImxhX3N0YWNrX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d32/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIiLCJmdW5jdGlvbl9pZCI6Im5hbGdlYnJhX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9uYWxnZWJyYV9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9uYWxnZWJyYV9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d32/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIiLCJmdW5jdGlvbl9pZCI6Im5hbGdlYnJhX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMyL25hbGdlYnJhX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d4/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q0L2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q0L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q0L2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d4/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDQvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q0L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d4/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNC9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d4/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDQvbmFsZ2VicmFfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNC9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q0L25hbGdlYnJhX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d4/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNC9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDQvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q0L25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d4/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNSIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNS9mYWVyX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDUvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q1L2ZhZXJfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d5/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNSIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q1L2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q1L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q1L2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d5/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNSIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDUvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNS9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q1L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d5/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNSIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNS9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q1L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d5/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNSIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDUvbmFsZ2VicmFfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNS9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q1L25hbGdlYnJhX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d5/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNSIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNS9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDUvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q1L25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d5/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQiLCJmdW5jdGlvbl9pZCI6ImZhZXJfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDY0L2ZhZXJfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9mYWVyX2x1X3NvbHZlIn0=", + "estimates": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d64/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQiLCJmdW5jdGlvbl9pZCI6ImZhZXJfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQvZmFlcl9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDY0L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9mYWVyX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d64/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQiLCJmdW5jdGlvbl9pZCI6ImxhX3N0YWNrX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9sYV9zdGFja19sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9sYV9zdGFja19sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d64/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQiLCJmdW5jdGlvbl9pZCI6ImxhX3N0YWNrX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9sYV9zdGFja19zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d64/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQiLCJmdW5jdGlvbl9pZCI6Im5hbGdlYnJhX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9uYWxnZWJyYV9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9uYWxnZWJyYV9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d64/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQiLCJmdW5jdGlvbl9pZCI6Im5hbGdlYnJhX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDY0L25hbGdlYnJhX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d64/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOC9mYWVyX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDgvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q4L2ZhZXJfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d8/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q4L2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q4L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q4L2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d8/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDgvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q4L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d8/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOC9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q4L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d8/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDgvbmFsZ2VicmFfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOC9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q4L25hbGdlYnJhX2x1X3NvbHZlIn0=", + "estimates": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d8/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOC9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDgvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q4L25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d8/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNi9mYWVyX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMTYvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDE2L2ZhZXJfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d16/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDE2L2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDE2L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDE2L2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d16/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kMTYvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDE2L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d16/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMTYvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d16/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kMTYvbmFsZ2VicmFfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNi9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDE2L25hbGdlYnJhX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d16/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNi9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMTYvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDE2L25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d16/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyIiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvZmFlcl9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvZmFlcl9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d2/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyIiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kMi9mYWVyX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyL2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvZmFlcl9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d2/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyL2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d2/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d2/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyL25hbGdlYnJhX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMi9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbmFsZ2VicmFfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d2/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d2/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzIiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvZmFlcl9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvZmFlcl9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d3/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzIiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kMy9mYWVyX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzL2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvZmFlcl9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d3/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzL2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMy9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d3/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d3/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzL25hbGdlYnJhX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMy9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbmFsZ2VicmFfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d3/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzIiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d3/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMi9mYWVyX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMzIvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMyL2ZhZXJfbHVfc29sdmUifQ==", + "estimates": 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+ "storage_path": "lu_solve_pivoting_d32/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMiIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDMyL2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDMyL2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMyL2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d32/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kMzIvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMyL2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d32/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMzIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d32/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMiIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMi9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMzIvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMyL25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "storage_path": "lu_solve_pivoting_d32/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q0IiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvZmFlcl9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvZmFlcl9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d4/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q0L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kNC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d4/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d4/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q0L25hbGdlYnJhX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kNC9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbmFsZ2VicmFfbHVfc29sdmUifQ==", + "estimates": 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+ "storage_path": "lu_solve_pivoting_d4/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q0IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d4/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1IiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvZmFlcl9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvZmFlcl9sdV9zb2x2ZSJ9", + "estimates": 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+ "storage_path": "lu_solve_pivoting_d5/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1IiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kNS9mYWVyX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvZmFlcl9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d5/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kNS9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d5/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d5/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1L25hbGdlYnJhX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kNS9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbmFsZ2VicmFfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d5/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d5/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NC9mYWVyX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kNjQvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDY0L2ZhZXJfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d64/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NCIsImZ1bmN0aW9uX2lkIjoiZmFlcl9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDY0L2ZhZXJfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDY0L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDY0L2ZhZXJfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d64/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kNjQvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDY0L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d64/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NC9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kNjQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d64/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kNjQvbmFsZ2VicmFfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NC9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDY0L25hbGdlYnJhX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d64/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NCIsImZ1bmN0aW9uX2lkIjoibmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NC9uYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kNjQvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDY0L25hbGdlYnJhX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d64/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4IiwiZnVuY3Rpb25faWQiOiJmYWVyX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvZmFlcl9sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvZmFlcl9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvZmFlcl9sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d8/faer_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4IiwiZnVuY3Rpb25faWQiOiJmYWVyX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kOC9mYWVyX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4L2ZhZXJfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvZmFlcl9zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d8/faer_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kOC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d8/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d8/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4L25hbGdlYnJhX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kOC9uYWxnZWJyYV9sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbmFsZ2VicmFfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d8/nalgebra_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4IiwiZnVuY3Rpb25faWQiOiJuYWxnZWJyYV9zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbmFsZ2VicmFfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d8/nalgebra_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d2/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2QyL2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kMi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d2/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d2/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kMi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2QyL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDIvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d2/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d2/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d3/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2QzL2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kMy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d3/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d3/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kMy9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2QzL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDMvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d3/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d3/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d4/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kNC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d4/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d4/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kNC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2Q0L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDQvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d4/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d4/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d5/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kNS9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d5/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d5/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kNS9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2Q1L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDUvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d5/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d5/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d6/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kNi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d6/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d6/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kNi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2Q2L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDYvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d6/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDYvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDYvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDYvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d6/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d7/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kNy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d7/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d7/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kNy9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2Q3L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDcvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d7/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d7/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d8/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kOC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d8/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d8/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kOC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2Q4L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDgvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d8/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDgvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDgvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDgvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d8/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d2/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyL2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kMi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d2/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d2/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kMi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d2/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d2/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d3/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzL2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kMy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d3/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d3/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kMy9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d3/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d3/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d4/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d4/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d4/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d4/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d5/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNS9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d5/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d5/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNS9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d5/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d5/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d6/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d6/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d6/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d7/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d7/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "storage_path": "rational_input_wide1024_d7/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d7/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d8/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kOC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d8/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d8/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kOC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d2/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QyL2RldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMi9kZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d2/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QyL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d2/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6InNvbHZlX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QyL3NvbHZlX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMi9zb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d2/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6ImRldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QzL2RldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9kZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d3/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6ImRldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d3/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QzL2RldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9kZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d3/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QzL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d3/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6InNvbHZlX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QzL3NvbHZlX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9zb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d3/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6ImRldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q0L2RldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9kZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d4/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6ImRldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d4/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q0L2RldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9kZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d4/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q0L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d4/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6InNvbHZlX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q0L3NvbHZlX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9zb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d4/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDUiLCJmdW5jdGlvbl9pZCI6ImRldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q1L2RldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNS9kZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "storage_path": "rational_input_wide256_d5/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDUiLCJmdW5jdGlvbl9pZCI6ImRldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNS9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNS9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNS9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d5/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDUiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q1L2RldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNS9kZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d5/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDUiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDUvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q1L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNS9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d6/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDYiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDYvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q2L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d8/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDgiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q4L2RldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kOC9kZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "storage_path": "rational_input_wide256_d8/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDgiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDgvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q4L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kOC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "sample": 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"d2/la_stack_solve_from_lu", + "d2/nalgebra_cholesky", + "d2/nalgebra_cholesky_solve", + "d2/nalgebra_det_from_cholesky", + "d2/nalgebra_det_from_lu", + "d2/nalgebra_det_via_lu", + "d2/nalgebra_dot", + "d2/nalgebra_inf_norm", + "d2/nalgebra_lu", + "d2/nalgebra_lu_solve", + "d2/nalgebra_norm", + "d2/nalgebra_norm_squared", + "d2/nalgebra_solve_from_cholesky", + "d2/nalgebra_solve_from_lu", + "d3/delaunay_scaled_norm", + "d3/delaunay_scaled_norm_norm2_scenario_descending", + "d3/delaunay_scaled_norm_norm2_scenario_repeated_scale", + "d3/delaunay_scaled_norm_norm2_scenario_sparse", + "d3/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range", + "d3/faer_det_from_ldlt", + "d3/faer_det_from_lu", + "d3/faer_det_via_lu", + "d3/faer_dot_native", + "d3/faer_inf_norm", + "d3/faer_ldlt", + "d3/faer_ldlt_solve", + "d3/faer_lu", + "d3/faer_lu_solve", + "d3/faer_norm2_sq", + "d3/faer_norm_l2", + "d3/faer_solve_from_ldlt", + "d3/faer_solve_from_lu", + "d3/iterative_f64_hypot", + "d3/iterative_f64_hypot_norm2_scenario_descending", + "d3/iterative_f64_hypot_norm2_scenario_repeated_scale", + "d3/iterative_f64_hypot_norm2_scenario_sparse", + "d3/iterative_f64_hypot_norm2_scenario_wide_dynamic_range", + "d3/la_stack_det", + "d3/la_stack_det_from_ldlt", + "d3/la_stack_det_from_lu", + "d3/la_stack_det_via_lu", + "d3/la_stack_dot", + "d3/la_stack_inf_norm", + "d3/la_stack_ldlt", + "d3/la_stack_ldlt_solve", + "d3/la_stack_lu", + "d3/la_stack_lu_solve", + "d3/la_stack_norm2", + "d3/la_stack_norm2_scenario_descending", + "d3/la_stack_norm2_scenario_repeated_scale", + "d3/la_stack_norm2_scenario_sparse", + "d3/la_stack_norm2_scenario_wide_dynamic_range", + "d3/la_stack_norm2_sq", + "d3/la_stack_solve_from_ldlt", + "d3/la_stack_solve_from_lu", + "d3/nalgebra_cholesky", + "d3/nalgebra_cholesky_solve", + "d3/nalgebra_det_from_cholesky", + "d3/nalgebra_det_from_lu", + "d3/nalgebra_det_via_lu", + "d3/nalgebra_dot", + "d3/nalgebra_inf_norm", + "d3/nalgebra_lu", + "d3/nalgebra_lu_solve", + "d3/nalgebra_norm", + "d3/nalgebra_norm_squared", + "d3/nalgebra_solve_from_cholesky", + "d3/nalgebra_solve_from_lu", + "d32/delaunay_scaled_norm", + "d32/delaunay_scaled_norm_norm2_scenario_descending", + "d32/delaunay_scaled_norm_norm2_scenario_repeated_scale", + "d32/delaunay_scaled_norm_norm2_scenario_sparse", + "d32/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range", + "d32/faer_det_from_ldlt", + "d32/faer_det_from_lu", + "d32/faer_det_via_lu", + "d32/faer_dot_native", + "d32/faer_inf_norm", + "d32/faer_ldlt", + "d32/faer_ldlt_solve", + "d32/faer_lu", + "d32/faer_lu_solve", + "d32/faer_norm2_sq", + "d32/faer_norm_l2", + "d32/faer_solve_from_ldlt", + "d32/faer_solve_from_lu", + "d32/iterative_f64_hypot", + "d32/iterative_f64_hypot_norm2_scenario_descending", + "d32/iterative_f64_hypot_norm2_scenario_repeated_scale", + "d32/iterative_f64_hypot_norm2_scenario_sparse", + "d32/iterative_f64_hypot_norm2_scenario_wide_dynamic_range", + "d32/la_stack_det", + "d32/la_stack_det_from_ldlt", + "d32/la_stack_det_from_lu", + "d32/la_stack_det_via_lu", + "d32/la_stack_dot", + "d32/la_stack_inf_norm", + "d32/la_stack_ldlt", + "d32/la_stack_ldlt_solve", + "d32/la_stack_lu", + "d32/la_stack_lu_solve", + "d32/la_stack_norm2", + "d32/la_stack_norm2_scenario_descending", + "d32/la_stack_norm2_scenario_repeated_scale", + "d32/la_stack_norm2_scenario_sparse", + "d32/la_stack_norm2_scenario_wide_dynamic_range", + "d32/la_stack_norm2_sq", + "d32/la_stack_solve_from_ldlt", + "d32/la_stack_solve_from_lu", + "d32/nalgebra_cholesky", + "d32/nalgebra_cholesky_solve", + "d32/nalgebra_det_from_cholesky", + "d32/nalgebra_det_from_lu", + "d32/nalgebra_det_via_lu", + "d32/nalgebra_dot", + "d32/nalgebra_inf_norm", + "d32/nalgebra_lu", + "d32/nalgebra_lu_solve", + "d32/nalgebra_norm", + "d32/nalgebra_norm_squared", + "d32/nalgebra_solve_from_cholesky", + "d32/nalgebra_solve_from_lu", + "d4/delaunay_scaled_norm", + "d4/delaunay_scaled_norm_norm2_scenario_descending", + "d4/delaunay_scaled_norm_norm2_scenario_repeated_scale", + "d4/delaunay_scaled_norm_norm2_scenario_sparse", + "d4/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range", + "d4/faer_det_from_ldlt", + "d4/faer_det_from_lu", + "d4/faer_det_via_lu", + "d4/faer_dot_native", + "d4/faer_inf_norm", + "d4/faer_ldlt", + "d4/faer_ldlt_solve", + "d4/faer_lu", + "d4/faer_lu_solve", + "d4/faer_norm2_sq", + "d4/faer_norm_l2", + "d4/faer_solve_from_ldlt", + "d4/faer_solve_from_lu", + "d4/iterative_f64_hypot", + "d4/iterative_f64_hypot_norm2_scenario_descending", + "d4/iterative_f64_hypot_norm2_scenario_repeated_scale", + "d4/iterative_f64_hypot_norm2_scenario_sparse", + "d4/iterative_f64_hypot_norm2_scenario_wide_dynamic_range", + "d4/la_stack_det", + "d4/la_stack_det_from_ldlt", + "d4/la_stack_det_from_lu", + "d4/la_stack_det_via_lu", + "d4/la_stack_dot", + "d4/la_stack_inf_norm", + "d4/la_stack_ldlt", + "d4/la_stack_ldlt_solve", + "d4/la_stack_lu", + "d4/la_stack_lu_solve", + "d4/la_stack_norm2", + "d4/la_stack_norm2_scenario_descending", + "d4/la_stack_norm2_scenario_repeated_scale", + "d4/la_stack_norm2_scenario_sparse", + "d4/la_stack_norm2_scenario_wide_dynamic_range", + "d4/la_stack_norm2_sq", + "d4/la_stack_solve_from_ldlt", + "d4/la_stack_solve_from_lu", + "d4/nalgebra_cholesky", + "d4/nalgebra_cholesky_solve", + "d4/nalgebra_det_from_cholesky", + "d4/nalgebra_det_from_lu", + "d4/nalgebra_det_via_lu", + "d4/nalgebra_dot", + "d4/nalgebra_inf_norm", + "d4/nalgebra_lu", + "d4/nalgebra_lu_solve", + "d4/nalgebra_norm", + "d4/nalgebra_norm_squared", + "d4/nalgebra_solve_from_cholesky", + "d4/nalgebra_solve_from_lu", + "d5/delaunay_scaled_norm", + "d5/delaunay_scaled_norm_norm2_scenario_descending", + "d5/delaunay_scaled_norm_norm2_scenario_repeated_scale", + "d5/delaunay_scaled_norm_norm2_scenario_sparse", + "d5/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range", + "d5/faer_det_from_ldlt", + "d5/faer_det_from_lu", + "d5/faer_det_via_lu", + "d5/faer_dot_native", + "d5/faer_inf_norm", + "d5/faer_ldlt", + "d5/faer_ldlt_solve", + "d5/faer_lu", + "d5/faer_lu_solve", + "d5/faer_norm2_sq", + "d5/faer_norm_l2", + "d5/faer_solve_from_ldlt", + "d5/faer_solve_from_lu", + "d5/iterative_f64_hypot", + "d5/iterative_f64_hypot_norm2_scenario_descending", + "d5/iterative_f64_hypot_norm2_scenario_repeated_scale", + "d5/iterative_f64_hypot_norm2_scenario_sparse", + "d5/iterative_f64_hypot_norm2_scenario_wide_dynamic_range", + "d5/la_stack_det", + "d5/la_stack_det_from_ldlt", + "d5/la_stack_det_from_lu", + "d5/la_stack_det_via_lu", + "d5/la_stack_dot", + "d5/la_stack_inf_norm", + "d5/la_stack_ldlt", + "d5/la_stack_ldlt_solve", + "d5/la_stack_lu", + "d5/la_stack_lu_solve", + "d5/la_stack_norm2", + "d5/la_stack_norm2_scenario_descending", + "d5/la_stack_norm2_scenario_repeated_scale", + "d5/la_stack_norm2_scenario_sparse", + "d5/la_stack_norm2_scenario_wide_dynamic_range", + "d5/la_stack_norm2_sq", + "d5/la_stack_solve_from_ldlt", + "d5/la_stack_solve_from_lu", + "d5/nalgebra_cholesky", + "d5/nalgebra_cholesky_solve", + "d5/nalgebra_det_from_cholesky", + "d5/nalgebra_det_from_lu", + "d5/nalgebra_det_via_lu", + "d5/nalgebra_dot", + "d5/nalgebra_inf_norm", + "d5/nalgebra_lu", + "d5/nalgebra_lu_solve", + "d5/nalgebra_norm", + "d5/nalgebra_norm_squared", + "d5/nalgebra_solve_from_cholesky", + "d5/nalgebra_solve_from_lu", + "d64/delaunay_scaled_norm", + "d64/delaunay_scaled_norm_norm2_scenario_descending", + "d64/delaunay_scaled_norm_norm2_scenario_repeated_scale", + "d64/delaunay_scaled_norm_norm2_scenario_sparse", + "d64/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range", + "d64/faer_det_from_ldlt", + "d64/faer_det_from_lu", + "d64/faer_det_via_lu", + "d64/faer_dot_native", + "d64/faer_inf_norm", + "d64/faer_ldlt", + "d64/faer_ldlt_solve", + "d64/faer_lu", + "d64/faer_lu_solve", + "d64/faer_norm2_sq", + "d64/faer_norm_l2", + "d64/faer_solve_from_ldlt", + "d64/faer_solve_from_lu", + "d64/iterative_f64_hypot", + "d64/iterative_f64_hypot_norm2_scenario_descending", + "d64/iterative_f64_hypot_norm2_scenario_repeated_scale", + "d64/iterative_f64_hypot_norm2_scenario_sparse", + "d64/iterative_f64_hypot_norm2_scenario_wide_dynamic_range", + "d64/la_stack_det", + "d64/la_stack_det_from_ldlt", + "d64/la_stack_det_from_lu", + "d64/la_stack_det_via_lu", + "d64/la_stack_dot", + "d64/la_stack_inf_norm", + "d64/la_stack_ldlt", + "d64/la_stack_ldlt_solve", + "d64/la_stack_lu", + "d64/la_stack_lu_solve", + "d64/la_stack_norm2", + "d64/la_stack_norm2_scenario_descending", + "d64/la_stack_norm2_scenario_repeated_scale", + "d64/la_stack_norm2_scenario_sparse", + "d64/la_stack_norm2_scenario_wide_dynamic_range", + "d64/la_stack_norm2_sq", + "d64/la_stack_solve_from_ldlt", + "d64/la_stack_solve_from_lu", + "d64/nalgebra_cholesky", + "d64/nalgebra_cholesky_solve", + "d64/nalgebra_det_from_cholesky", + "d64/nalgebra_det_from_lu", + "d64/nalgebra_det_via_lu", + "d64/nalgebra_dot", + "d64/nalgebra_inf_norm", + "d64/nalgebra_lu", + "d64/nalgebra_lu_solve", + "d64/nalgebra_norm", + "d64/nalgebra_norm_squared", + "d64/nalgebra_solve_from_cholesky", + "d64/nalgebra_solve_from_lu", + "d8/delaunay_scaled_norm", + "d8/delaunay_scaled_norm_norm2_scenario_descending", + "d8/delaunay_scaled_norm_norm2_scenario_repeated_scale", + "d8/delaunay_scaled_norm_norm2_scenario_sparse", + "d8/delaunay_scaled_norm_norm2_scenario_wide_dynamic_range", + "d8/faer_det_from_ldlt", + "d8/faer_det_from_lu", + "d8/faer_det_via_lu", + "d8/faer_dot_native", + "d8/faer_inf_norm", + "d8/faer_ldlt", + "d8/faer_ldlt_solve", + "d8/faer_lu", + "d8/faer_lu_solve", + "d8/faer_norm2_sq", + "d8/faer_norm_l2", + "d8/faer_solve_from_ldlt", + "d8/faer_solve_from_lu", + "d8/iterative_f64_hypot", + "d8/iterative_f64_hypot_norm2_scenario_descending", + "d8/iterative_f64_hypot_norm2_scenario_repeated_scale", + "d8/iterative_f64_hypot_norm2_scenario_sparse", + "d8/iterative_f64_hypot_norm2_scenario_wide_dynamic_range", + "d8/la_stack_det", + "d8/la_stack_det_from_ldlt", + "d8/la_stack_det_from_ldlt_balanced_range", + "d8/la_stack_det_from_lu", + "d8/la_stack_det_from_lu_balanced_range", + "d8/la_stack_det_via_lu", + "d8/la_stack_dot", + "d8/la_stack_inf_norm", + "d8/la_stack_ldlt", + "d8/la_stack_ldlt_ill_conditioned", + "d8/la_stack_ldlt_solve", + "d8/la_stack_lu", + "d8/la_stack_lu_ill_conditioned", + "d8/la_stack_lu_pivoting", + "d8/la_stack_lu_solve", + "d8/la_stack_norm2", + "d8/la_stack_norm2_scenario_descending", + "d8/la_stack_norm2_scenario_repeated_scale", + "d8/la_stack_norm2_scenario_sparse", + "d8/la_stack_norm2_scenario_wide_dynamic_range", + "d8/la_stack_norm2_sq", + "d8/la_stack_solve_from_ldlt", + "d8/la_stack_solve_from_lu", + "d8/nalgebra_cholesky", + "d8/nalgebra_cholesky_solve", + "d8/nalgebra_det_from_cholesky", + "d8/nalgebra_det_from_lu", + "d8/nalgebra_det_via_lu", + "d8/nalgebra_dot", + "d8/nalgebra_inf_norm", + "d8/nalgebra_lu", + "d8/nalgebra_lu_solve", + "d8/nalgebra_norm", + "d8/nalgebra_norm_squared", + "d8/nalgebra_solve_from_cholesky", + "d8/nalgebra_solve_from_lu", + "det4_diagnostic_dense/det_exact", + "det4_diagnostic_dense/det_sign_exact", + "det4_diagnostic_large_entries/det_exact", + "det4_diagnostic_large_entries/det_sign_exact", + "det4_diagnostic_mixed_exponents/det_exact", + "det4_diagnostic_mixed_exponents/det_sign_exact", + "det4_diagnostic_near_singular_negative/det_exact", + "det4_diagnostic_near_singular_negative/det_sign_exact", + "det4_diagnostic_near_singular_positive/det_exact", + "det4_diagnostic_near_singular_positive/det_sign_exact", + "det4_diagnostic_singular/det_exact", + "det4_diagnostic_singular/det_sign_exact", + "det4_diagnostic_sparse/det_exact", + "det4_diagnostic_sparse/det_sign_exact", + "exact_d2/det", + "exact_d2/det_direct", + "exact_d2/det_direct_with_errbound", + "exact_d2/det_errbound", + "exact_d2/det_exact", + "exact_d2/det_exact_f64_result", + "exact_d2/det_exact_rounded_f64", + "exact_d2/det_sign_exact", + "exact_d2/solve_exact", + "exact_d2/solve_exact_f64_result", + "exact_d2/solve_exact_rounded_f64", + "exact_d3/det", + "exact_d3/det_direct", + "exact_d3/det_direct_with_errbound", + "exact_d3/det_errbound", + "exact_d3/det_exact", + "exact_d3/det_exact_f64_result", + "exact_d3/det_exact_rounded_f64", + "exact_d3/det_sign_exact", + "exact_d3/solve_exact", + "exact_d3/solve_exact_f64_result", + "exact_d3/solve_exact_rounded_f64", + "exact_d4/det", + "exact_d4/det_direct", + "exact_d4/det_direct_with_errbound", + "exact_d4/det_errbound", + "exact_d4/det_exact", + "exact_d4/det_exact_f64_result", + "exact_d4/det_exact_rounded_f64", + "exact_d4/det_sign_exact", + "exact_d4/solve_exact", + "exact_d4/solve_exact_f64_result", + "exact_d4/solve_exact_rounded_f64", + "exact_d5/det", + "exact_d5/det_exact", + "exact_d5/det_exact_f64_result", + "exact_d5/det_exact_rounded_f64", + "exact_d5/det_sign_exact", + "exact_d5/solve_exact", + "exact_d5/solve_exact_f64_result", + "exact_d5/solve_exact_rounded_f64", + "exact_hilbert_4x4/det_exact", + "exact_hilbert_4x4/det_sign_exact", + "exact_hilbert_4x4/solve_exact", + "exact_hilbert_4x4/solve_exact_f64_result", + "exact_hilbert_4x4/solve_exact_rounded_f64", + "exact_hilbert_5x5/det_exact", + "exact_hilbert_5x5/det_sign_exact", + "exact_hilbert_5x5/solve_exact", + "exact_hilbert_5x5/solve_exact_f64_result", + "exact_hilbert_5x5/solve_exact_rounded_f64", + "exact_large_entries_3x3/det_exact", + "exact_large_entries_3x3/det_sign_exact", + "exact_large_entries_3x3/solve_exact", + "exact_large_entries_3x3/solve_exact_f64_result", + "exact_large_entries_3x3/solve_exact_rounded_f64", + "exact_near_singular_3x3/det_exact", + "exact_near_singular_3x3/det_sign_exact", + "exact_near_singular_3x3/solve_exact", + "exact_near_singular_3x3/solve_exact_f64_result", + "exact_near_singular_3x3/solve_exact_rounded_f64", + "exact_random_corpus_d2/det_exact", + "exact_random_corpus_d2/det_sign_exact", + "exact_random_corpus_d2/solve_exact", + "exact_random_corpus_d2/solve_exact_f64_result", + "exact_random_corpus_d2/solve_exact_rounded_f64", + "exact_random_corpus_d3/det_exact", + "exact_random_corpus_d3/det_sign_exact", + "exact_random_corpus_d3/solve_exact", + "exact_random_corpus_d3/solve_exact_f64_result", + "exact_random_corpus_d3/solve_exact_rounded_f64", + "exact_random_corpus_d4/det_exact", + "exact_random_corpus_d4/det_sign_exact", + "exact_random_corpus_d4/solve_exact", + "exact_random_corpus_d4/solve_exact_f64_result", + "exact_random_corpus_d4/solve_exact_rounded_f64", + "exact_random_corpus_d5/det_exact", + "exact_random_corpus_d5/det_sign_exact", + "exact_random_corpus_d5/solve_exact", + "exact_random_corpus_d5/solve_exact_f64_result", + "exact_random_corpus_d5/solve_exact_rounded_f64", + "lu_solve_dense_ill_conditioned_d16/faer_lu_solve", + "lu_solve_dense_ill_conditioned_d16/faer_solve_from_lu", + "lu_solve_dense_ill_conditioned_d16/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d16/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d16/nalgebra_lu_solve", + "lu_solve_dense_ill_conditioned_d16/nalgebra_solve_from_lu", + "lu_solve_dense_ill_conditioned_d2/faer_lu_solve", + "lu_solve_dense_ill_conditioned_d2/faer_solve_from_lu", + "lu_solve_dense_ill_conditioned_d2/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d2/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d2/nalgebra_lu_solve", + "lu_solve_dense_ill_conditioned_d2/nalgebra_solve_from_lu", + "lu_solve_dense_ill_conditioned_d3/faer_lu_solve", + "lu_solve_dense_ill_conditioned_d3/faer_solve_from_lu", + "lu_solve_dense_ill_conditioned_d3/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d3/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d3/nalgebra_lu_solve", + "lu_solve_dense_ill_conditioned_d3/nalgebra_solve_from_lu", + "lu_solve_dense_ill_conditioned_d32/faer_lu_solve", + "lu_solve_dense_ill_conditioned_d32/faer_solve_from_lu", + "lu_solve_dense_ill_conditioned_d32/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d32/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d32/nalgebra_lu_solve", + "lu_solve_dense_ill_conditioned_d32/nalgebra_solve_from_lu", + "lu_solve_dense_ill_conditioned_d4/faer_lu_solve", + "lu_solve_dense_ill_conditioned_d4/faer_solve_from_lu", + "lu_solve_dense_ill_conditioned_d4/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d4/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d4/nalgebra_lu_solve", + "lu_solve_dense_ill_conditioned_d4/nalgebra_solve_from_lu", + "lu_solve_dense_ill_conditioned_d5/faer_lu_solve", + "lu_solve_dense_ill_conditioned_d5/faer_solve_from_lu", + "lu_solve_dense_ill_conditioned_d5/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d5/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d5/nalgebra_lu_solve", + "lu_solve_dense_ill_conditioned_d5/nalgebra_solve_from_lu", + "lu_solve_dense_ill_conditioned_d64/faer_lu_solve", + "lu_solve_dense_ill_conditioned_d64/faer_solve_from_lu", + "lu_solve_dense_ill_conditioned_d64/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d64/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d64/nalgebra_lu_solve", + "lu_solve_dense_ill_conditioned_d64/nalgebra_solve_from_lu", + "lu_solve_dense_ill_conditioned_d8/faer_lu_solve", + "lu_solve_dense_ill_conditioned_d8/faer_solve_from_lu", + "lu_solve_dense_ill_conditioned_d8/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d8/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d8/nalgebra_lu_solve", + "lu_solve_dense_ill_conditioned_d8/nalgebra_solve_from_lu", + "lu_solve_pivoting_d16/faer_lu_solve", + "lu_solve_pivoting_d16/faer_solve_from_lu", + "lu_solve_pivoting_d16/la_stack_lu_solve", + "lu_solve_pivoting_d16/la_stack_solve_from_lu", + "lu_solve_pivoting_d16/nalgebra_lu_solve", + "lu_solve_pivoting_d16/nalgebra_solve_from_lu", + "lu_solve_pivoting_d2/faer_lu_solve", + "lu_solve_pivoting_d2/faer_solve_from_lu", + "lu_solve_pivoting_d2/la_stack_lu_solve", + "lu_solve_pivoting_d2/la_stack_solve_from_lu", + "lu_solve_pivoting_d2/nalgebra_lu_solve", + "lu_solve_pivoting_d2/nalgebra_solve_from_lu", + "lu_solve_pivoting_d3/faer_lu_solve", + "lu_solve_pivoting_d3/faer_solve_from_lu", + "lu_solve_pivoting_d3/la_stack_lu_solve", + "lu_solve_pivoting_d3/la_stack_solve_from_lu", + "lu_solve_pivoting_d3/nalgebra_lu_solve", + "lu_solve_pivoting_d3/nalgebra_solve_from_lu", + "lu_solve_pivoting_d32/faer_lu_solve", + "lu_solve_pivoting_d32/faer_solve_from_lu", + "lu_solve_pivoting_d32/la_stack_lu_solve", + "lu_solve_pivoting_d32/la_stack_solve_from_lu", + "lu_solve_pivoting_d32/nalgebra_lu_solve", + "lu_solve_pivoting_d32/nalgebra_solve_from_lu", + "lu_solve_pivoting_d4/faer_lu_solve", + "lu_solve_pivoting_d4/faer_solve_from_lu", + "lu_solve_pivoting_d4/la_stack_lu_solve", + "lu_solve_pivoting_d4/la_stack_solve_from_lu", + "lu_solve_pivoting_d4/nalgebra_lu_solve", + "lu_solve_pivoting_d4/nalgebra_solve_from_lu", + "lu_solve_pivoting_d5/faer_lu_solve", + "lu_solve_pivoting_d5/faer_solve_from_lu", + "lu_solve_pivoting_d5/la_stack_lu_solve", + "lu_solve_pivoting_d5/la_stack_solve_from_lu", + "lu_solve_pivoting_d5/nalgebra_lu_solve", + "lu_solve_pivoting_d5/nalgebra_solve_from_lu", + "lu_solve_pivoting_d64/faer_lu_solve", + "lu_solve_pivoting_d64/faer_solve_from_lu", + "lu_solve_pivoting_d64/la_stack_lu_solve", + "lu_solve_pivoting_d64/la_stack_solve_from_lu", + "lu_solve_pivoting_d64/nalgebra_lu_solve", + "lu_solve_pivoting_d64/nalgebra_solve_from_lu", + "lu_solve_pivoting_d8/faer_lu_solve", + "lu_solve_pivoting_d8/faer_solve_from_lu", + "lu_solve_pivoting_d8/la_stack_lu_solve", + "lu_solve_pivoting_d8/la_stack_solve_from_lu", + "lu_solve_pivoting_d8/nalgebra_lu_solve", + "lu_solve_pivoting_d8/nalgebra_solve_from_lu", + "rational_input_d2/det_big_rational_gaussian", + "rational_input_d2/det_row_cleared_bareiss", + "rational_input_d2/det_sign_row_cleared_bareiss", + "rational_input_d2/solve_big_rational_gaussian", + "rational_input_d2/solve_row_cleared_bareiss", + "rational_input_d3/det_big_rational_gaussian", + "rational_input_d3/det_row_cleared_bareiss", + "rational_input_d3/det_sign_row_cleared_bareiss", + "rational_input_d3/solve_big_rational_gaussian", + "rational_input_d3/solve_row_cleared_bareiss", + "rational_input_d4/det_big_rational_gaussian", + "rational_input_d4/det_row_cleared_bareiss", + "rational_input_d4/det_sign_row_cleared_bareiss", + "rational_input_d4/solve_big_rational_gaussian", + "rational_input_d4/solve_row_cleared_bareiss", + "rational_input_d5/det_big_rational_gaussian", + "rational_input_d5/det_row_cleared_bareiss", + "rational_input_d5/det_sign_row_cleared_bareiss", + "rational_input_d5/solve_big_rational_gaussian", + "rational_input_d5/solve_row_cleared_bareiss", + "rational_input_d6/det_big_rational_gaussian", + "rational_input_d6/det_row_cleared_bareiss", + "rational_input_d6/det_sign_row_cleared_bareiss", + "rational_input_d6/solve_big_rational_gaussian", + "rational_input_d6/solve_row_cleared_bareiss", + "rational_input_d7/det_big_rational_gaussian", + "rational_input_d7/det_row_cleared_bareiss", + "rational_input_d7/det_sign_row_cleared_bareiss", + "rational_input_d7/solve_big_rational_gaussian", + "rational_input_d7/solve_row_cleared_bareiss", + "rational_input_d8/det_big_rational_gaussian", + "rational_input_d8/det_row_cleared_bareiss", + "rational_input_d8/det_sign_row_cleared_bareiss", + "rational_input_d8/solve_big_rational_gaussian", + "rational_input_d8/solve_row_cleared_bareiss", + "rational_input_wide1024_d2/det_big_rational_gaussian", + "rational_input_wide1024_d2/det_row_cleared_bareiss", + "rational_input_wide1024_d2/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d2/solve_big_rational_gaussian", + "rational_input_wide1024_d2/solve_row_cleared_bareiss", + "rational_input_wide1024_d3/det_big_rational_gaussian", + "rational_input_wide1024_d3/det_row_cleared_bareiss", + "rational_input_wide1024_d3/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d3/solve_big_rational_gaussian", + "rational_input_wide1024_d3/solve_row_cleared_bareiss", + "rational_input_wide1024_d4/det_big_rational_gaussian", + "rational_input_wide1024_d4/det_row_cleared_bareiss", + "rational_input_wide1024_d4/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d4/solve_big_rational_gaussian", + "rational_input_wide1024_d4/solve_row_cleared_bareiss", + "rational_input_wide1024_d5/det_big_rational_gaussian", + "rational_input_wide1024_d5/det_row_cleared_bareiss", + "rational_input_wide1024_d5/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d5/solve_big_rational_gaussian", + "rational_input_wide1024_d5/solve_row_cleared_bareiss", + "rational_input_wide1024_d6/det_big_rational_gaussian", + "rational_input_wide1024_d6/det_row_cleared_bareiss", + "rational_input_wide1024_d6/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d6/solve_big_rational_gaussian", + "rational_input_wide1024_d6/solve_row_cleared_bareiss", + "rational_input_wide1024_d7/det_big_rational_gaussian", + "rational_input_wide1024_d7/det_row_cleared_bareiss", + "rational_input_wide1024_d7/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d7/solve_big_rational_gaussian", + "rational_input_wide1024_d7/solve_row_cleared_bareiss", + "rational_input_wide1024_d8/det_big_rational_gaussian", + "rational_input_wide1024_d8/det_row_cleared_bareiss", + "rational_input_wide1024_d8/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d8/solve_big_rational_gaussian", + "rational_input_wide1024_d8/solve_row_cleared_bareiss", + "rational_input_wide256_d2/det_big_rational_gaussian", + "rational_input_wide256_d2/det_row_cleared_bareiss", + "rational_input_wide256_d2/det_sign_row_cleared_bareiss", + "rational_input_wide256_d2/solve_big_rational_gaussian", + "rational_input_wide256_d2/solve_row_cleared_bareiss", + "rational_input_wide256_d3/det_big_rational_gaussian", + "rational_input_wide256_d3/det_row_cleared_bareiss", + "rational_input_wide256_d3/det_sign_row_cleared_bareiss", + "rational_input_wide256_d3/solve_big_rational_gaussian", + "rational_input_wide256_d3/solve_row_cleared_bareiss", + "rational_input_wide256_d4/det_big_rational_gaussian", + "rational_input_wide256_d4/det_row_cleared_bareiss", + "rational_input_wide256_d4/det_sign_row_cleared_bareiss", + "rational_input_wide256_d4/solve_big_rational_gaussian", + "rational_input_wide256_d4/solve_row_cleared_bareiss", + "rational_input_wide256_d5/det_big_rational_gaussian", + "rational_input_wide256_d5/det_row_cleared_bareiss", + "rational_input_wide256_d5/det_sign_row_cleared_bareiss", + "rational_input_wide256_d5/solve_big_rational_gaussian", + "rational_input_wide256_d5/solve_row_cleared_bareiss", + "rational_input_wide256_d6/det_big_rational_gaussian", + "rational_input_wide256_d6/det_row_cleared_bareiss", + "rational_input_wide256_d6/det_sign_row_cleared_bareiss", + "rational_input_wide256_d6/solve_big_rational_gaussian", + "rational_input_wide256_d6/solve_row_cleared_bareiss", + "rational_input_wide256_d7/det_big_rational_gaussian", + "rational_input_wide256_d7/det_row_cleared_bareiss", + "rational_input_wide256_d7/det_sign_row_cleared_bareiss", + "rational_input_wide256_d7/solve_big_rational_gaussian", + "rational_input_wide256_d7/solve_row_cleared_bareiss", + "rational_input_wide256_d8/det_big_rational_gaussian", + "rational_input_wide256_d8/det_row_cleared_bareiss", + "rational_input_wide256_d8/det_sign_row_cleared_bareiss", + "rational_input_wide256_d8/solve_big_rational_gaussian", + "rational_input_wide256_d8/solve_row_cleared_bareiss" + ], + "sample_count": 100, + "statistics": [ + "mean", + "median" + ], + "unit": "ns" + } + }, + "current": { + "cases": [ + { + "benchmark": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2QyIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDIvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDIvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2QzIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2QzL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9iZWxvd19vdmVyZmxvd19kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDMvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2QzIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDMvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDMvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q0IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q0L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9iZWxvd19vdmVyZmxvd19kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDQvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q0IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDQvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDQvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q1IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q1L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9iZWxvd19vdmVyZmxvd19kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDUvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2JlbG93X292ZXJmbG93X2Q1IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDUvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fYmVsb3dfb3ZlcmZsb3dfZDUvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_below_overflow_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMiIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDIvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2QyL3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMiIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMi9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2QyL3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMyIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDMvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2QzL3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMyIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kMy9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2QzL3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNCIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDQvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2Q0L3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNCIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNC9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2Q0L3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNSIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDUvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2Q1L3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNSIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX2R5YWRpY19kNS9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9keWFkaWNfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fZHlhZGljX2Q1L3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_dyadic_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDIiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMi9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMi9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDIiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9taW5fc3Vibm9ybWFsX2QyL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMi9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDMiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMy9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMy9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDMiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9taW5fc3Vibm9ybWFsX2QzL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kMy9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDQiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNC9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNC9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDQiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9taW5fc3Vibm9ybWFsX2Q0L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNC9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDUiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNS9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNS9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDUiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9taW5fc3Vibm9ybWFsX2Q1L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX21pbl9zdWJub3JtYWxfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbWluX3N1Ym5vcm1hbF9kNS9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_min_subnormal_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMiIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDIvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2QyL3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMiIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMi9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2QyL3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMyIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDMvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2QzL3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMyIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kMy9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2QzL3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNCIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDQvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2Q0L3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNCIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNC9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2Q0L3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNSIsImZ1bmN0aW9uX2lkIjoicm91bmRlZF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDUvcm91bmRlZF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2Q1L3JvdW5kZWRfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNSIsImZ1bmN0aW9uX2lkIjoic3RyaWN0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25lZ2F0aXZlX3VuZGVyZmxvd19kNS9zdHJpY3RfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9uZWdhdGl2ZV91bmRlcmZsb3dfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbmVnYXRpdmVfdW5kZXJmbG93X2Q1L3N0cmljdF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_negative_underflow_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDIiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMi9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMi9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDIiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9ub25fZHlhZGljX2QyL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMi9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDMiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMy9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMy9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDMiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9ub25fZHlhZGljX2QzL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kMy9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDQiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNC9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNC9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDQiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9ub25fZHlhZGljX2Q0L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNC9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDUiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNS9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNS9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDUiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl9ub25fZHlhZGljX2Q1L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX25vbl9keWFkaWNfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fbm9uX2R5YWRpY19kNS9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_non_dyadic_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QyIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QyL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9vdmVyZmxvd19taWRwb2ludF9kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDIvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QyIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDIvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDIvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QzIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QzL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9vdmVyZmxvd19taWRwb2ludF9kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDMvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2QzIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDMvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDMvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q0IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q0L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9vdmVyZmxvd19taWRwb2ludF9kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDQvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q0IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDQvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDQvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q1IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q1L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl9vdmVyZmxvd19taWRwb2ludF9kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDUvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX292ZXJmbG93X21pZHBvaW50X2Q1IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDUvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fb3ZlcmZsb3dfbWlkcG9pbnRfZDUvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_overflow_midpoint_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QyL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMTAyNF9kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDIvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDIvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDIvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QzL3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMTAyNF9kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDMvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDMvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDMvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q0L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMTAyNF9kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDQvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDQvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDQvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJyb3VuZGVkX3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q1L3JvdW5kZWRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMTAyNF9kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDUvcm91bmRlZF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJzdHJpY3RfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDUvc3RyaWN0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTEwMjRfZDUvc3RyaWN0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide1024_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMi9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMi9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMi9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d2/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMjU2X2QyL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDIvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMi9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d2/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMy9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMy9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMy9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d3/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMjU2X2QzL3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDMvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kMy9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d3/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNC9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNC9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNC9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d4/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMjU2X2Q0L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDQvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNC9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d4/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDUiLCJmdW5jdGlvbl9pZCI6InJvdW5kZWRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNS9yb3VuZGVkX3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNS9yb3VuZGVkX3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNS9yb3VuZGVkX3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d5/rounded_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDUiLCJmdW5jdGlvbl9pZCI6InN0cmljdF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJjYW5vbmljYWxfY29udmVyc2lvbl93aWRlMjU2X2Q1L3N0cmljdF9yZXN1bHQiLCJkaXJlY3RvcnlfbmFtZSI6ImNhbm9uaWNhbF9jb252ZXJzaW9uX3dpZGUyNTZfZDUvc3RyaWN0X3Jlc3VsdCIsInRpdGxlIjoiY2Fub25pY2FsX2NvbnZlcnNpb25fd2lkZTI1Nl9kNS9zdHJpY3RfcmVzdWx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "canonical_conversion_wide256_d5/strict_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2xhX3N0YWNrX2RldCIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2RldCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19kZXRfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2RldF9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2RldF9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X3ZpYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19kZXRfdmlhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2RldF92aWFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2xhX3N0YWNrX2RvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2RvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfaW5mX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfaW5mX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2luZl9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdF9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19sZGx0X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2xkbHRfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19sdSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "storage_path": "d16/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfbm9ybTIiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc3EiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMTYvbGFfc3RhY2tfbm9ybTJfc3EiLCJkaXJlY3RvcnlfbmFtZSI6ImQxNi9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX25vcm0yX3NxIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQxNi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMTYvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d16/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9sYV9zdGFja19kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDIvbGFfc3RhY2tfZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDIvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9sYV9zdGFja19kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDIvbGFfc3RhY2tfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19sdSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX25vcm0yIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTIifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQyL2xhX3N0YWNrX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkMi9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfbm9ybTJfc3EifQ==", + "estimates": 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+ "storage_path": "d2/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMi9sYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d2/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9sYV9zdGFja19kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDMvbGFfc3RhY2tfZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDMvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9sYV9zdGFja19kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDMvbGFfc3RhY2tfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19sdSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX25vcm0yIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTIifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "storage_path": "d3/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9sYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzL2xhX3N0YWNrX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkMy9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMy9sYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQzL2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d3/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2xhX3N0YWNrX2RldCIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2RldCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19kZXRfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2RldF9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2RldF9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X3ZpYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19kZXRfdmlhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2RldF92aWFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2xhX3N0YWNrX2RvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2RvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfaW5mX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfaW5mX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2luZl9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdF9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19sZGx0X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2xkbHRfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19sdSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfbm9ybTIiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc3EiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkMzIvbGFfc3RhY2tfbm9ybTJfc3EiLCJkaXJlY3RvcnlfbmFtZSI6ImQzMi9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX25vcm0yX3NxIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQzMi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkMzIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d32/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9sYV9zdGFja19kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDQvbGFfc3RhY2tfZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDQvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9sYV9zdGFja19kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDQvbGFfc3RhY2tfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19sdSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX25vcm0yIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTIifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ0L2xhX3N0YWNrX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkNC9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNC9sYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d4/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9sYV9zdGFja19kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDUvbGFfc3RhY2tfZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDUvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9sYV9zdGFja19kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDUvbGFfc3RhY2tfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19sdSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX25vcm0yIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTIifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "storage_path": "d5/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9sYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ1L2xhX3N0YWNrX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkNS9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNS9sYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ1L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d5/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2xhX3N0YWNrX2RldCIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2RldCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19kZXRfZnJvbV9sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2RldF9mcm9tX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfZGV0X2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2RldF9mcm9tX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZGV0X3ZpYV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19kZXRfdmlhX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2RldF92aWFfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfZG90IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2xhX3N0YWNrX2RvdCIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2RvdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfaW5mX25vcm0iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfaW5mX25vcm0iLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2luZl9ub3JtIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19sZGx0IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2xkbHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbGRsdF9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19sZGx0X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2xkbHRfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfbHUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19sdSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2x1In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTIiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfbm9ybTIiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX2Rlc2NlbmRpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbm9ybTJfc3EiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkNjQvbGFfc3RhY2tfbm9ybTJfc3EiLCJkaXJlY3RvcnlfbmFtZSI6ImQ2NC9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX25vcm0yX3NxIn0=", + "estimates": 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+ "storage_path": "d64/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d64/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ2NC9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkNjQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "storage_path": "d64/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX2RldCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sZGx0X2JhbGFuY2VkX3JhbmdlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdF9iYWxhbmNlZF9yYW5nZSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdF9iYWxhbmNlZF9yYW5nZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbGRsdF9iYWxhbmNlZF9yYW5nZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det_from_ldlt_balanced_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2RldF9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19kZXRfZnJvbV9sdSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfZnJvbV9sdV9iYWxhbmNlZF9yYW5nZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2RldF9mcm9tX2x1X2JhbGFuY2VkX3JhbmdlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19kZXRfZnJvbV9sdV9iYWxhbmNlZF9yYW5nZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0X2Zyb21fbHVfYmFsYW5jZWRfcmFuZ2UifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det_from_lu_balanced_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kZXRfdmlhX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfZGV0X3ZpYV9sdSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZGV0X3ZpYV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_det_via_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19kb3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19kb3QiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX2RvdCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfZG90In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_dot" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19pbmZfbm9ybSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2luZl9ub3JtIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19pbmZfbm9ybSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfaW5mX25vcm0ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_inf_norm" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfbGRsdCIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfbGRsdCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbGRsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X2lsbF9jb25kaXRpb25lZCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2xkbHRfaWxsX2NvbmRpdGlvbmVkIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19sZGx0X2lsbF9jb25kaXRpb25lZCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbGRsdF9pbGxfY29uZGl0aW9uZWQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_ldlt_ill_conditioned" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sZGx0X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfbGRsdF9zb2x2ZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbGRsdF9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_ldlt_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19sdSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9pbGxfY29uZGl0aW9uZWQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19sdV9pbGxfY29uZGl0aW9uZWQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX2x1X2lsbF9jb25kaXRpb25lZCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbHVfaWxsX2NvbmRpdGlvbmVkIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_lu_ill_conditioned" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9waXZvdGluZyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2x1X3Bpdm90aW5nIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19sdV9waXZvdGluZyIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbHVfcGl2b3RpbmcifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_lu_pivoting" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX25vcm0yIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19ub3JtMiIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTIifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19kZXNjZW5kaW5nIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fZGVzY2VuZGluZyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2_scenario_descending" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3JlcGVhdGVkX3NjYWxlIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19yZXBlYXRlZF9zY2FsZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fcmVwZWF0ZWRfc2NhbGUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2_scenario_repeated_scale" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb19zcGFyc2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3NwYXJzZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fc3BhcnNlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2_scenario_sparse" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19ub3JtMl9zY2VuYXJpb193aWRlX2R5bmFtaWNfcmFuZ2UiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX25vcm0yX3NjZW5hcmlvX3dpZGVfZHluYW1pY19yYW5nZSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTJfc2NlbmFyaW9fd2lkZV9keW5hbWljX3JhbmdlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2_scenario_wide_dynamic_range" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19ub3JtMl9zcSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImQ4L2xhX3N0YWNrX25vcm0yX3NxIiwiZGlyZWN0b3J5X25hbWUiOiJkOC9sYV9zdGFja19ub3JtMl9zcSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfbm9ybTJfc3EifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_norm2_sq" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkOC9sYV9zdGFja19zb2x2ZV9mcm9tX2xkbHQiLCJkaXJlY3RvcnlfbmFtZSI6ImQ4L2xhX3N0YWNrX3NvbHZlX2Zyb21fbGRsdCIsInRpdGxlIjoiZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sZGx0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_solve_from_ldlt" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImQ4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoiZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoiZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "d8/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19kZW5zZSIsImZ1bmN0aW9uX2lkIjoiZGV0X2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZGV0NF9kaWFnbm9zdGljX2RlbnNlL2RldF9leGFjdCIsImRpcmVjdG9yeV9uYW1lIjoiZGV0NF9kaWFnbm9zdGljX2RlbnNlL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX2RlbnNlL2RldF9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_dense/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19kZW5zZSIsImZ1bmN0aW9uX2lkIjoiZGV0X3NpZ25fZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkZXQ0X2RpYWdub3N0aWNfZGVuc2UvZGV0X3NpZ25fZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImRldDRfZGlhZ25vc3RpY19kZW5zZS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX2RlbnNlL2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_dense/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19sYXJnZV9lbnRyaWVzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkZXQ0X2RpYWdub3N0aWNfbGFyZ2VfZW50cmllcy9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImRldDRfZGlhZ25vc3RpY19sYXJnZV9lbnRyaWVzL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX2xhcmdlX2VudHJpZXMvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_large_entries/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19sYXJnZV9lbnRyaWVzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImRldDRfZGlhZ25vc3RpY19sYXJnZV9lbnRyaWVzL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJkZXQ0X2RpYWdub3N0aWNfbGFyZ2VfZW50cmllcy9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX2xhcmdlX2VudHJpZXMvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_large_entries/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19taXhlZF9leHBvbmVudHMiLCJmdW5jdGlvbl9pZCI6ImRldF9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImRldDRfZGlhZ25vc3RpY19taXhlZF9leHBvbmVudHMvZGV0X2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJkZXQ0X2RpYWdub3N0aWNfbWl4ZWRfZXhwb25lbnRzL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX21peGVkX2V4cG9uZW50cy9kZXRfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_mixed_exponents/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19taXhlZF9leHBvbmVudHMiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZGV0NF9kaWFnbm9zdGljX21peGVkX2V4cG9uZW50cy9kZXRfc2lnbl9leGFjdCIsImRpcmVjdG9yeV9uYW1lIjoiZGV0NF9kaWFnbm9zdGljX21peGVkX2V4cG9uZW50cy9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX21peGVkX2V4cG9uZW50cy9kZXRfc2lnbl9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_mixed_exponents/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX25lZ2F0aXZlIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkZXQ0X2RpYWdub3N0aWNfbmVhcl9zaW5ndWxhcl9uZWdhdGl2ZS9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX25lZ2F0aXZlL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX25lYXJfc2luZ3VsYXJfbmVnYXRpdmUvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_near_singular_negative/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX25lZ2F0aXZlIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX25lZ2F0aXZlL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJkZXQ0X2RpYWdub3N0aWNfbmVhcl9zaW5ndWxhcl9uZWdhdGl2ZS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX25lYXJfc2luZ3VsYXJfbmVnYXRpdmUvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_near_singular_negative/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX3Bvc2l0aXZlIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkZXQ0X2RpYWdub3N0aWNfbmVhcl9zaW5ndWxhcl9wb3NpdGl2ZS9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX3Bvc2l0aXZlL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX25lYXJfc2luZ3VsYXJfcG9zaXRpdmUvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_near_singular_positive/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX3Bvc2l0aXZlIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImRldDRfZGlhZ25vc3RpY19uZWFyX3Npbmd1bGFyX3Bvc2l0aXZlL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJkZXQ0X2RpYWdub3N0aWNfbmVhcl9zaW5ndWxhcl9wb3NpdGl2ZS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX25lYXJfc2luZ3VsYXJfcG9zaXRpdmUvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_near_singular_positive/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19zaW5ndWxhciIsImZ1bmN0aW9uX2lkIjoiZGV0X2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZGV0NF9kaWFnbm9zdGljX3Npbmd1bGFyL2RldF9leGFjdCIsImRpcmVjdG9yeV9uYW1lIjoiZGV0NF9kaWFnbm9zdGljX3Npbmd1bGFyL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX3Npbmd1bGFyL2RldF9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_singular/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19zaW5ndWxhciIsImZ1bmN0aW9uX2lkIjoiZGV0X3NpZ25fZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJkZXQ0X2RpYWdub3N0aWNfc2luZ3VsYXIvZGV0X3NpZ25fZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImRldDRfZGlhZ25vc3RpY19zaW5ndWxhci9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX3Npbmd1bGFyL2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_singular/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19zcGFyc2UiLCJmdW5jdGlvbl9pZCI6ImRldF9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImRldDRfZGlhZ25vc3RpY19zcGFyc2UvZGV0X2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJkZXQ0X2RpYWdub3N0aWNfc3BhcnNlL2RldF9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX3NwYXJzZS9kZXRfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_sparse/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImRldDRfZGlhZ25vc3RpY19zcGFyc2UiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZGV0NF9kaWFnbm9zdGljX3NwYXJzZS9kZXRfc2lnbl9leGFjdCIsImRpcmVjdG9yeV9uYW1lIjoiZGV0NF9kaWFnbm9zdGljX3NwYXJzZS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZGV0NF9kaWFnbm9zdGljX3NwYXJzZS9kZXRfc2lnbl9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "det4_diagnostic_sparse/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMi9kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QyL2RldCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDIvZGV0X2RpcmVjdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDIvZGV0X2RpcmVjdCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2RpcmVjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_direct" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMi9kZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QyL2RldF9kaXJlY3Rfd2l0aF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2RpcmVjdF93aXRoX2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_direct_with_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMi9kZXRfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QyL2RldF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMi9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QyL2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QyL2RldF9leGFjdF9mNjRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMi9kZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMi9kZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QyL2RldF9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QyL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMi9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDIvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QyL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMi9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDIvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDIvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDIvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDIvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QyL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMi9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDIvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d2/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMy9kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QzL2RldCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDMvZGV0X2RpcmVjdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDMvZGV0X2RpcmVjdCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2RpcmVjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_direct" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMy9kZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QzL2RldF9kaXJlY3Rfd2l0aF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2RpcmVjdF93aXRoX2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_direct_with_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMy9kZXRfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QzL2RldF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMy9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QzL2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QzL2RldF9leGFjdF9mNjRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMy9kZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kMy9kZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2QzL2RldF9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QzL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMy9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDMvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QzL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMy9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDMvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2QzL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kMy9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDMvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d3/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNC9kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q0L2RldCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDQvZGV0X2RpcmVjdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDQvZGV0X2RpcmVjdCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2RpcmVjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_direct" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNC9kZXRfZGlyZWN0X3dpdGhfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q0L2RldF9kaXJlY3Rfd2l0aF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2RpcmVjdF93aXRoX2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_direct_with_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZXJyYm91bmQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNC9kZXRfZXJyYm91bmQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q0L2RldF9lcnJib3VuZCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2VycmJvdW5kIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_errbound" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNC9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q0L2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q0L2RldF9leGFjdF9mNjRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNC9kZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNC9kZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q0L2RldF9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q0L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNC9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDQvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q0L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNC9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDQvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q0L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNC9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDQvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d4/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNS9kZXQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q1L2RldCIsInRpdGxlIjoiZXhhY3RfZDUvZGV0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/det" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNS9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q1L2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDUvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q1L2RldF9leGFjdF9mNjRfcmVzdWx0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNS9kZXRfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDUvZGV0X2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/det_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9kNS9kZXRfZXhhY3Rfcm91bmRlZF9mNjQiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2Q1L2RldF9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDUvZGV0X2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/det_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q1L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDUvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q1L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNS9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfZDUvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfZDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfZDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfZDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2Q1L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9kNS9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfZDUvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_d5/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9oaWxiZXJ0XzR4NC9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2hpbGJlcnRfNHg0L2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF80eDQvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_4x4/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9oaWxiZXJ0XzR4NC9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF80eDQvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_4x4/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9oaWxiZXJ0XzR4NC9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF80eDQvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_4x4/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfaGlsYmVydF80eDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfaGlsYmVydF80eDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF80eDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_4x4/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2hpbGJlcnRfNHg0L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9oaWxiZXJ0XzR4NC9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF80eDQvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_4x4/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1IiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9oaWxiZXJ0XzV4NS9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X2hpbGJlcnRfNXg1L2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF81eDUvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_5x5/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9oaWxiZXJ0XzV4NS9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF81eDUvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_hilbert_5x5/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9oaWxiZXJ0XzV4NS9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF81eDUvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "storage_path": "exact_hilbert_5x5/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2hpbGJlcnRfNXg1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfaGlsYmVydF81eDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfaGlsYmVydF81eDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfaGlsYmVydF81eDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "exact_large_entries_3x3/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9sYXJnZV9lbnRyaWVzXzN4My9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfbGFyZ2VfZW50cmllc18zeDMvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_large_entries_3x3/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X2xhcmdlX2VudHJpZXNfM3gzL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9sYXJnZV9lbnRyaWVzXzN4My9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfbGFyZ2VfZW50cmllc18zeDMvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "exact_large_entries_3x3/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzIiwiZnVuY3Rpb25faWQiOiJkZXRfZXhhY3QiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJleGFjdF9uZWFyX3Npbmd1bGFyXzN4My9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzL2RldF9leGFjdCIsInRpdGxlIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvZGV0X2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_near_singular_3x3/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9uZWFyX3Npbmd1bGFyXzN4My9kZXRfc2lnbl9leGFjdCIsInRpdGxlIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvZGV0X3NpZ25fZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_near_singular_3x3/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9uZWFyX3Npbmd1bGFyXzN4My9zb2x2ZV9leGFjdCIsInRpdGxlIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvc29sdmVfZXhhY3QifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_near_singular_3x3/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsInRpdGxlIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_near_singular_3x3/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6ImV4YWN0X25lYXJfc2luZ3VsYXJfM3gzL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9uZWFyX3Npbmd1bGFyXzN4My9zb2x2ZV9leGFjdF9yb3VuZGVkX2Y2NCIsInRpdGxlIjoiZXhhY3RfbmVhcl9zaW5ndWxhcl8zeDMvc29sdmVfZXhhY3Rfcm91bmRlZF9mNjQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_near_singular_3x3/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIiLCJmdW5jdGlvbl9pZCI6ImRldF9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6eyJFbGVtZW50cyI6NTB9LCJmdWxsX2lkIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kMi9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIvZGV0X2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL2RldF9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d2/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL2RldF9zaWduX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d2/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d2/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0X2Y2NF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOnsiRWxlbWVudHMiOjUwfSwiZnVsbF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kMi9zb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d2/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDIiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QyL3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d2/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDMiLCJmdW5jdGlvbl9pZCI6ImRldF9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6eyJFbGVtZW50cyI6NTB9LCJmdWxsX2lkIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kMy9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDMvZGV0X2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL2RldF9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d3/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDMiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL2RldF9zaWduX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d3/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDMiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL3NvbHZlX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL3NvbHZlX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d3/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDMiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0X2Y2NF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOnsiRWxlbWVudHMiOjUwfSwiZnVsbF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDMvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kMy9zb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2QzL3NvbHZlX2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d4/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDQiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L2RldF9zaWduX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d4/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDQiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d4/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDQiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0X2Y2NF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOnsiRWxlbWVudHMiOjUwfSwiZnVsbF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDQvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kNC9zb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d4/solve_exact_f64_result" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDQiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q0L3NvbHZlX2V4YWN0X3JvdW5kZWRfZjY0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d4/solve_exact_rounded_f64" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUiLCJmdW5jdGlvbl9pZCI6ImRldF9leGFjdCIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6eyJFbGVtZW50cyI6NTB9LCJmdWxsX2lkIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kNS9kZXRfZXhhY3QiLCJkaXJlY3RvcnlfbmFtZSI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUvZGV0X2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L2RldF9leGFjdCJ9", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d5/det_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L2RldF9zaWduX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L2RldF9zaWduX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L2RldF9zaWduX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d5/det_sign_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0Ijp7IkVsZW1lbnRzIjo1MH0sImZ1bGxfaWQiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0IiwiZGlyZWN0b3J5X25hbWUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0In0=", + "estimates": 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+ "sample": 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+ "storage_path": "exact_random_corpus_d5/solve_exact" + }, + { + "benchmark": "eyJncm91cF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2V4YWN0X2Y2NF9yZXN1bHQiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOnsiRWxlbWVudHMiOjUwfSwiZnVsbF9pZCI6ImV4YWN0X3JhbmRvbV9jb3JwdXNfZDUvc29sdmVfZXhhY3RfZjY0X3Jlc3VsdCIsImRpcmVjdG9yeV9uYW1lIjoiZXhhY3RfcmFuZG9tX2NvcnB1c19kNS9zb2x2ZV9leGFjdF9mNjRfcmVzdWx0IiwidGl0bGUiOiJleGFjdF9yYW5kb21fY29ycHVzX2Q1L3NvbHZlX2V4YWN0X2Y2NF9yZXN1bHQifQ==", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d16/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDIvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QyL2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d2/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d2/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMyIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMy9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzL2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d3/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMyIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMy9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzL2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d3/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIiLCJmdW5jdGlvbl9pZCI6ImxhX3N0YWNrX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9sYV9zdGFja19sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9sYV9zdGFja19sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d32/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIiLCJmdW5jdGlvbl9pZCI6ImxhX3N0YWNrX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kMzIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2QzMi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d32/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDQvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q0L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d4/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNC9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d4/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNSIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDUvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNS9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q1L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d5/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNSIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNS9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q1L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d5/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQiLCJmdW5jdGlvbl9pZCI6ImxhX3N0YWNrX2x1X3NvbHZlIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9sYV9zdGFja19sdV9zb2x2ZSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9sYV9zdGFja19sdV9zb2x2ZSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d64/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQiLCJmdW5jdGlvbl9pZCI6ImxhX3N0YWNrX3NvbHZlX2Zyb21fbHUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kNjQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q2NC9sYV9zdGFja19zb2x2ZV9mcm9tX2x1In0=", + "estimates": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d64/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDgvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q4L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d8/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX2RlbnNlX2lsbF9jb25kaXRpb25lZF9kOC9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9kZW5zZV9pbGxfY29uZGl0aW9uZWRfZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfZGVuc2VfaWxsX2NvbmRpdGlvbmVkX2Q4L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_dense_ill_conditioned_d8/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kMTYvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDE2L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d16/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QxNi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMTYvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDE2L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d16/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyL2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d2/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QyIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d2/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzL2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMy9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d3/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzIiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d3/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kMzIvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMi9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMyL2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d32/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMiIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2QzMi9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kMzIvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDMyL2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d32/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q0L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kNC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d4/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q0IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d4/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kNS9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d5/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q1IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDUvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d5/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfbHVfc29sdmUiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJsdV9zb2x2ZV9waXZvdGluZ19kNjQvbGFfc3RhY2tfbHVfc29sdmUiLCJkaXJlY3RvcnlfbmFtZSI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDY0L2xhX3N0YWNrX2x1X3NvbHZlIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d64/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NCIsImZ1bmN0aW9uX2lkIjoibGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q2NC9sYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kNjQvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDY0L2xhX3N0YWNrX3NvbHZlX2Zyb21fbHUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d64/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19sdV9zb2x2ZSIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4L2xhX3N0YWNrX2x1X3NvbHZlIiwiZGlyZWN0b3J5X25hbWUiOiJsdV9zb2x2ZV9waXZvdGluZ19kOC9sYV9zdGFja19sdV9zb2x2ZSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbGFfc3RhY2tfbHVfc29sdmUifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d8/la_stack_lu_solve" + }, + { + "benchmark": "eyJncm91cF9pZCI6Imx1X3NvbHZlX3Bpdm90aW5nX2Q4IiwiZnVuY3Rpb25faWQiOiJsYV9zdGFja19zb2x2ZV9mcm9tX2x1IiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsImRpcmVjdG9yeV9uYW1lIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSIsInRpdGxlIjoibHVfc29sdmVfcGl2b3RpbmdfZDgvbGFfc3RhY2tfc29sdmVfZnJvbV9sdSJ9", + "estimates": 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+ "sample": 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+ "storage_path": "lu_solve_pivoting_d8/la_stack_solve_from_lu" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d2/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2QyL2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kMi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d2/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d2/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kMi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2QyL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDIvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d2/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d2/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d3/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2QzL2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kMy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d3/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d3/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kMy9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2QzL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDMvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d3/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d3/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d4/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kNC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d4/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d4/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kNC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2Q0L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDQvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d4/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d4/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d5/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kNS9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d5/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d5/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kNS9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2Q1L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDUvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d5/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d5/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d6/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kNi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d6/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d6/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kNi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2Q2L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDYvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "storage_path": "rational_input_d6/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q2IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDYvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDYvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDYvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d6/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d7/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kNy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d7/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d7/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kNy9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2Q3L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDcvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d7/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q3IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d7/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d8/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF9kOC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d8/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d8/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF9kOC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X2Q4L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDgvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d8/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X2Q4IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfZDgvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfZDgvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfZDgvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_d8/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d2/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyL2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kMi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d2/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d2/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kMi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d2/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QyIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d2/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d3/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzL2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kMy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d3/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d3/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kMy9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d3/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2QzIiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d3/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d4/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d4/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d4/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d4/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q0IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDQvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d4/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d5/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNS9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d5/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d5/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNS9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d5/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q1IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDUvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d5/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d6/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d6/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d6/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d6/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q2IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDYvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d6/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d7/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3L2RldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X3Jvd19jbGVhcmVkX2JhcmVpc3MifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d7/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d7/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kNy9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d7/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q3IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDcvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d7/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiJ9", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d8/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4IiwiZnVuY3Rpb25faWQiOiJkZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d8/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMTAyNF9kOC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d8/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUxMDI0X2Q4IiwiZnVuY3Rpb25faWQiOiJzb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTEwMjRfZDgvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide1024_d8/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6ImRldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QyL2RldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMi9kZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d2/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6ImRldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMi9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d2/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QyL2RldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMi9kZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d2/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QyL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d2/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIiLCJmdW5jdGlvbl9pZCI6InNvbHZlX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QyL3NvbHZlX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDIvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMi9zb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d2/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6ImRldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QzL2RldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9kZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d3/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6ImRldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d3/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QzL2RldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9kZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d3/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QzL3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d3/solve_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMiLCJmdW5jdGlvbl9pZCI6InNvbHZlX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2QzL3NvbHZlX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDMvc29sdmVfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kMy9zb2x2ZV9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d3/solve_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6ImRldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q0L2RldF9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4iLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQvZGV0X2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9kZXRfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d4/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6ImRldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d4/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q0L2RldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9kZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d4/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDQvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q0L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNC9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "storage_path": "rational_input_wide256_d5/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDUiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDUvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q1L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNS9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "sample": 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+ "sample": 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+ "sample": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d6/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDYiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q2L2RldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDYvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNi9kZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d6/det_sign_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDYiLCJmdW5jdGlvbl9pZCI6InNvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInZhbHVlX3N0ciI6bnVsbCwidGhyb3VnaHB1dCI6bnVsbCwiZnVsbF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDYvc29sdmVfYmlnX3JhdGlvbmFsX2dhdXNzaWFuIiwiZGlyZWN0b3J5X25hbWUiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q2L3NvbHZlX2JpZ19yYXRpb25hbF9nYXVzc2lhbiIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kNi9zb2x2ZV9iaWdfcmF0aW9uYWxfZ2F1c3NpYW4ifQ==", + "estimates": 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+ "sample": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d8/det_big_rational_gaussian" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDgiLCJmdW5jdGlvbl9pZCI6ImRldF9yb3dfY2xlYXJlZF9iYXJlaXNzIiwidmFsdWVfc3RyIjpudWxsLCJ0aHJvdWdocHV0IjpudWxsLCJmdWxsX2lkIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kOC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsImRpcmVjdG9yeV9uYW1lIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kOC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kOC9kZXRfcm93X2NsZWFyZWRfYmFyZWlzcyJ9", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d8/det_row_cleared_bareiss" + }, + { + "benchmark": "eyJncm91cF9pZCI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDgiLCJmdW5jdGlvbl9pZCI6ImRldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJ2YWx1ZV9zdHIiOm51bGwsInRocm91Z2hwdXQiOm51bGwsImZ1bGxfaWQiOiJyYXRpb25hbF9pbnB1dF93aWRlMjU2X2Q4L2RldF9zaWduX3Jvd19jbGVhcmVkX2JhcmVpc3MiLCJkaXJlY3RvcnlfbmFtZSI6InJhdGlvbmFsX2lucHV0X3dpZGUyNTZfZDgvZGV0X3NpZ25fcm93X2NsZWFyZWRfYmFyZWlzcyIsInRpdGxlIjoicmF0aW9uYWxfaW5wdXRfd2lkZTI1Nl9kOC9kZXRfc2lnbl9yb3dfY2xlYXJlZF9iYXJlaXNzIn0=", + "estimates": 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+ "sample": 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+ "storage_path": "rational_input_wide256_d8/solve_row_cleared_bareiss" + } + ], + "policy": { + "confidence_level": 0.95, + "expected": [ + "canonical_conversion_below_overflow_d2/rounded_result", + "canonical_conversion_below_overflow_d2/strict_result", + "canonical_conversion_below_overflow_d3/rounded_result", + "canonical_conversion_below_overflow_d3/strict_result", + "canonical_conversion_below_overflow_d4/rounded_result", + "canonical_conversion_below_overflow_d4/strict_result", + "canonical_conversion_below_overflow_d5/rounded_result", + "canonical_conversion_below_overflow_d5/strict_result", + "canonical_conversion_dyadic_d2/rounded_result", + "canonical_conversion_dyadic_d2/strict_result", + "canonical_conversion_dyadic_d3/rounded_result", + "canonical_conversion_dyadic_d3/strict_result", + "canonical_conversion_dyadic_d4/rounded_result", + "canonical_conversion_dyadic_d4/strict_result", + "canonical_conversion_dyadic_d5/rounded_result", + "canonical_conversion_dyadic_d5/strict_result", + "canonical_conversion_min_subnormal_d2/rounded_result", + "canonical_conversion_min_subnormal_d2/strict_result", + "canonical_conversion_min_subnormal_d3/rounded_result", + "canonical_conversion_min_subnormal_d3/strict_result", + "canonical_conversion_min_subnormal_d4/rounded_result", + "canonical_conversion_min_subnormal_d4/strict_result", + "canonical_conversion_min_subnormal_d5/rounded_result", + "canonical_conversion_min_subnormal_d5/strict_result", + "canonical_conversion_negative_underflow_d2/rounded_result", + "canonical_conversion_negative_underflow_d2/strict_result", + "canonical_conversion_negative_underflow_d3/rounded_result", + "canonical_conversion_negative_underflow_d3/strict_result", + "canonical_conversion_negative_underflow_d4/rounded_result", + "canonical_conversion_negative_underflow_d4/strict_result", + "canonical_conversion_negative_underflow_d5/rounded_result", + "canonical_conversion_negative_underflow_d5/strict_result", + "canonical_conversion_non_dyadic_d2/rounded_result", + "canonical_conversion_non_dyadic_d2/strict_result", + "canonical_conversion_non_dyadic_d3/rounded_result", + "canonical_conversion_non_dyadic_d3/strict_result", + "canonical_conversion_non_dyadic_d4/rounded_result", + "canonical_conversion_non_dyadic_d4/strict_result", + "canonical_conversion_non_dyadic_d5/rounded_result", + "canonical_conversion_non_dyadic_d5/strict_result", + "canonical_conversion_overflow_midpoint_d2/rounded_result", + "canonical_conversion_overflow_midpoint_d2/strict_result", + "canonical_conversion_overflow_midpoint_d3/rounded_result", + "canonical_conversion_overflow_midpoint_d3/strict_result", + "canonical_conversion_overflow_midpoint_d4/rounded_result", + "canonical_conversion_overflow_midpoint_d4/strict_result", + "canonical_conversion_overflow_midpoint_d5/rounded_result", + "canonical_conversion_overflow_midpoint_d5/strict_result", + "canonical_conversion_wide1024_d2/rounded_result", + "canonical_conversion_wide1024_d2/strict_result", + "canonical_conversion_wide1024_d3/rounded_result", + "canonical_conversion_wide1024_d3/strict_result", + "canonical_conversion_wide1024_d4/rounded_result", + "canonical_conversion_wide1024_d4/strict_result", + "canonical_conversion_wide1024_d5/rounded_result", + "canonical_conversion_wide1024_d5/strict_result", + "canonical_conversion_wide256_d2/rounded_result", + "canonical_conversion_wide256_d2/strict_result", + "canonical_conversion_wide256_d3/rounded_result", + "canonical_conversion_wide256_d3/strict_result", + "canonical_conversion_wide256_d4/rounded_result", + "canonical_conversion_wide256_d4/strict_result", + "canonical_conversion_wide256_d5/rounded_result", + "canonical_conversion_wide256_d5/strict_result", + "d16/la_stack_det", + "d16/la_stack_det_from_ldlt", + "d16/la_stack_det_from_lu", + "d16/la_stack_det_via_lu", + "d16/la_stack_dot", + "d16/la_stack_inf_norm", + "d16/la_stack_ldlt", + "d16/la_stack_ldlt_solve", + "d16/la_stack_lu", + "d16/la_stack_lu_solve", + "d16/la_stack_norm2", + "d16/la_stack_norm2_scenario_descending", + "d16/la_stack_norm2_scenario_repeated_scale", + "d16/la_stack_norm2_scenario_sparse", + "d16/la_stack_norm2_scenario_wide_dynamic_range", + "d16/la_stack_norm2_sq", + "d16/la_stack_solve_from_ldlt", + "d16/la_stack_solve_from_lu", + "d2/la_stack_det", + "d2/la_stack_det_from_ldlt", + "d2/la_stack_det_from_lu", + "d2/la_stack_det_via_lu", + "d2/la_stack_dot", + "d2/la_stack_inf_norm", + "d2/la_stack_ldlt", + "d2/la_stack_ldlt_solve", + "d2/la_stack_lu", + "d2/la_stack_lu_solve", + "d2/la_stack_norm2", + "d2/la_stack_norm2_scenario_descending", + "d2/la_stack_norm2_scenario_repeated_scale", + "d2/la_stack_norm2_scenario_sparse", + "d2/la_stack_norm2_scenario_wide_dynamic_range", + "d2/la_stack_norm2_sq", + "d2/la_stack_solve_from_ldlt", + "d2/la_stack_solve_from_lu", + "d3/la_stack_det", + "d3/la_stack_det_from_ldlt", + "d3/la_stack_det_from_lu", + "d3/la_stack_det_via_lu", + "d3/la_stack_dot", + "d3/la_stack_inf_norm", + "d3/la_stack_ldlt", + "d3/la_stack_ldlt_solve", + "d3/la_stack_lu", + "d3/la_stack_lu_solve", + "d3/la_stack_norm2", + "d3/la_stack_norm2_scenario_descending", + "d3/la_stack_norm2_scenario_repeated_scale", + "d3/la_stack_norm2_scenario_sparse", + "d3/la_stack_norm2_scenario_wide_dynamic_range", + "d3/la_stack_norm2_sq", + "d3/la_stack_solve_from_ldlt", + "d3/la_stack_solve_from_lu", + "d32/la_stack_det", + "d32/la_stack_det_from_ldlt", + "d32/la_stack_det_from_lu", + "d32/la_stack_det_via_lu", + "d32/la_stack_dot", + "d32/la_stack_inf_norm", + "d32/la_stack_ldlt", + "d32/la_stack_ldlt_solve", + "d32/la_stack_lu", + "d32/la_stack_lu_solve", + "d32/la_stack_norm2", + "d32/la_stack_norm2_scenario_descending", + "d32/la_stack_norm2_scenario_repeated_scale", + "d32/la_stack_norm2_scenario_sparse", + "d32/la_stack_norm2_scenario_wide_dynamic_range", + "d32/la_stack_norm2_sq", + "d32/la_stack_solve_from_ldlt", + "d32/la_stack_solve_from_lu", + "d4/la_stack_det", + "d4/la_stack_det_from_ldlt", + "d4/la_stack_det_from_lu", + "d4/la_stack_det_via_lu", + "d4/la_stack_dot", + "d4/la_stack_inf_norm", + "d4/la_stack_ldlt", + "d4/la_stack_ldlt_solve", + "d4/la_stack_lu", + "d4/la_stack_lu_solve", + "d4/la_stack_norm2", + "d4/la_stack_norm2_scenario_descending", + "d4/la_stack_norm2_scenario_repeated_scale", + "d4/la_stack_norm2_scenario_sparse", + "d4/la_stack_norm2_scenario_wide_dynamic_range", + "d4/la_stack_norm2_sq", + "d4/la_stack_solve_from_ldlt", + "d4/la_stack_solve_from_lu", + "d5/la_stack_det", + "d5/la_stack_det_from_ldlt", + "d5/la_stack_det_from_lu", + "d5/la_stack_det_via_lu", + "d5/la_stack_dot", + "d5/la_stack_inf_norm", + "d5/la_stack_ldlt", + "d5/la_stack_ldlt_solve", + "d5/la_stack_lu", + "d5/la_stack_lu_solve", + "d5/la_stack_norm2", + "d5/la_stack_norm2_scenario_descending", + "d5/la_stack_norm2_scenario_repeated_scale", + "d5/la_stack_norm2_scenario_sparse", + "d5/la_stack_norm2_scenario_wide_dynamic_range", + "d5/la_stack_norm2_sq", + "d5/la_stack_solve_from_ldlt", + "d5/la_stack_solve_from_lu", + "d64/la_stack_det", + "d64/la_stack_det_from_ldlt", + "d64/la_stack_det_from_lu", + "d64/la_stack_det_via_lu", + "d64/la_stack_dot", + "d64/la_stack_inf_norm", + "d64/la_stack_ldlt", + "d64/la_stack_ldlt_solve", + "d64/la_stack_lu", + "d64/la_stack_lu_solve", + "d64/la_stack_norm2", + "d64/la_stack_norm2_scenario_descending", + "d64/la_stack_norm2_scenario_repeated_scale", + "d64/la_stack_norm2_scenario_sparse", + "d64/la_stack_norm2_scenario_wide_dynamic_range", + "d64/la_stack_norm2_sq", + "d64/la_stack_solve_from_ldlt", + "d64/la_stack_solve_from_lu", + "d8/la_stack_det", + "d8/la_stack_det_from_ldlt", + "d8/la_stack_det_from_ldlt_balanced_range", + "d8/la_stack_det_from_lu", + "d8/la_stack_det_from_lu_balanced_range", + "d8/la_stack_det_via_lu", + "d8/la_stack_dot", + "d8/la_stack_inf_norm", + "d8/la_stack_ldlt", + "d8/la_stack_ldlt_ill_conditioned", + "d8/la_stack_ldlt_solve", + "d8/la_stack_lu", + "d8/la_stack_lu_ill_conditioned", + "d8/la_stack_lu_pivoting", + "d8/la_stack_lu_solve", + "d8/la_stack_norm2", + "d8/la_stack_norm2_scenario_descending", + "d8/la_stack_norm2_scenario_repeated_scale", + "d8/la_stack_norm2_scenario_sparse", + "d8/la_stack_norm2_scenario_wide_dynamic_range", + "d8/la_stack_norm2_sq", + "d8/la_stack_solve_from_ldlt", + "d8/la_stack_solve_from_lu", + "det4_diagnostic_dense/det_exact", + "det4_diagnostic_dense/det_sign_exact", + "det4_diagnostic_large_entries/det_exact", + "det4_diagnostic_large_entries/det_sign_exact", + "det4_diagnostic_mixed_exponents/det_exact", + "det4_diagnostic_mixed_exponents/det_sign_exact", + "det4_diagnostic_near_singular_negative/det_exact", + "det4_diagnostic_near_singular_negative/det_sign_exact", + "det4_diagnostic_near_singular_positive/det_exact", + "det4_diagnostic_near_singular_positive/det_sign_exact", + "det4_diagnostic_singular/det_exact", + "det4_diagnostic_singular/det_sign_exact", + "det4_diagnostic_sparse/det_exact", + "det4_diagnostic_sparse/det_sign_exact", + "exact_d2/det", + "exact_d2/det_direct", + "exact_d2/det_direct_with_errbound", + "exact_d2/det_errbound", + "exact_d2/det_exact", + "exact_d2/det_exact_f64_result", + "exact_d2/det_exact_rounded_f64", + "exact_d2/det_sign_exact", + "exact_d2/solve_exact", + "exact_d2/solve_exact_f64_result", + "exact_d2/solve_exact_rounded_f64", + "exact_d3/det", + "exact_d3/det_direct", + "exact_d3/det_direct_with_errbound", + "exact_d3/det_errbound", + "exact_d3/det_exact", + "exact_d3/det_exact_f64_result", + "exact_d3/det_exact_rounded_f64", + "exact_d3/det_sign_exact", + "exact_d3/solve_exact", + "exact_d3/solve_exact_f64_result", + "exact_d3/solve_exact_rounded_f64", + "exact_d4/det", + "exact_d4/det_direct", + "exact_d4/det_direct_with_errbound", + "exact_d4/det_errbound", + "exact_d4/det_exact", + "exact_d4/det_exact_f64_result", + "exact_d4/det_exact_rounded_f64", + "exact_d4/det_sign_exact", + "exact_d4/solve_exact", + "exact_d4/solve_exact_f64_result", + "exact_d4/solve_exact_rounded_f64", + "exact_d5/det", + "exact_d5/det_exact", + "exact_d5/det_exact_f64_result", + "exact_d5/det_exact_rounded_f64", + "exact_d5/det_sign_exact", + "exact_d5/solve_exact", + "exact_d5/solve_exact_f64_result", + "exact_d5/solve_exact_rounded_f64", + "exact_hilbert_4x4/det_exact", + "exact_hilbert_4x4/det_sign_exact", + "exact_hilbert_4x4/solve_exact", + "exact_hilbert_4x4/solve_exact_f64_result", + "exact_hilbert_4x4/solve_exact_rounded_f64", + "exact_hilbert_5x5/det_exact", + "exact_hilbert_5x5/det_sign_exact", + "exact_hilbert_5x5/solve_exact", + "exact_hilbert_5x5/solve_exact_f64_result", + "exact_hilbert_5x5/solve_exact_rounded_f64", + "exact_large_entries_3x3/det_exact", + "exact_large_entries_3x3/det_sign_exact", + "exact_large_entries_3x3/solve_exact", + "exact_large_entries_3x3/solve_exact_f64_result", + "exact_large_entries_3x3/solve_exact_rounded_f64", + "exact_near_singular_3x3/det_exact", + "exact_near_singular_3x3/det_sign_exact", + "exact_near_singular_3x3/solve_exact", + "exact_near_singular_3x3/solve_exact_f64_result", + "exact_near_singular_3x3/solve_exact_rounded_f64", + "exact_random_corpus_d2/det_exact", + "exact_random_corpus_d2/det_sign_exact", + "exact_random_corpus_d2/solve_exact", + "exact_random_corpus_d2/solve_exact_f64_result", + "exact_random_corpus_d2/solve_exact_rounded_f64", + "exact_random_corpus_d3/det_exact", + "exact_random_corpus_d3/det_sign_exact", + "exact_random_corpus_d3/solve_exact", + "exact_random_corpus_d3/solve_exact_f64_result", + "exact_random_corpus_d3/solve_exact_rounded_f64", + "exact_random_corpus_d4/det_exact", + "exact_random_corpus_d4/det_sign_exact", + "exact_random_corpus_d4/solve_exact", + "exact_random_corpus_d4/solve_exact_f64_result", + "exact_random_corpus_d4/solve_exact_rounded_f64", + "exact_random_corpus_d5/det_exact", + "exact_random_corpus_d5/det_sign_exact", + "exact_random_corpus_d5/solve_exact", + "exact_random_corpus_d5/solve_exact_f64_result", + "exact_random_corpus_d5/solve_exact_rounded_f64", + "lu_solve_dense_ill_conditioned_d16/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d16/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d2/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d2/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d3/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d3/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d32/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d32/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d4/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d4/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d5/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d5/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d64/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d64/la_stack_solve_from_lu", + "lu_solve_dense_ill_conditioned_d8/la_stack_lu_solve", + "lu_solve_dense_ill_conditioned_d8/la_stack_solve_from_lu", + "lu_solve_pivoting_d16/la_stack_lu_solve", + "lu_solve_pivoting_d16/la_stack_solve_from_lu", + "lu_solve_pivoting_d2/la_stack_lu_solve", + "lu_solve_pivoting_d2/la_stack_solve_from_lu", + "lu_solve_pivoting_d3/la_stack_lu_solve", + "lu_solve_pivoting_d3/la_stack_solve_from_lu", + "lu_solve_pivoting_d32/la_stack_lu_solve", + "lu_solve_pivoting_d32/la_stack_solve_from_lu", + "lu_solve_pivoting_d4/la_stack_lu_solve", + "lu_solve_pivoting_d4/la_stack_solve_from_lu", + "lu_solve_pivoting_d5/la_stack_lu_solve", + "lu_solve_pivoting_d5/la_stack_solve_from_lu", + "lu_solve_pivoting_d64/la_stack_lu_solve", + "lu_solve_pivoting_d64/la_stack_solve_from_lu", + "lu_solve_pivoting_d8/la_stack_lu_solve", + "lu_solve_pivoting_d8/la_stack_solve_from_lu", + "rational_input_d2/det_big_rational_gaussian", + "rational_input_d2/det_row_cleared_bareiss", + "rational_input_d2/det_sign_row_cleared_bareiss", + "rational_input_d2/solve_big_rational_gaussian", + "rational_input_d2/solve_row_cleared_bareiss", + "rational_input_d3/det_big_rational_gaussian", + "rational_input_d3/det_row_cleared_bareiss", + "rational_input_d3/det_sign_row_cleared_bareiss", + "rational_input_d3/solve_big_rational_gaussian", + "rational_input_d3/solve_row_cleared_bareiss", + "rational_input_d4/det_big_rational_gaussian", + "rational_input_d4/det_row_cleared_bareiss", + "rational_input_d4/det_sign_row_cleared_bareiss", + "rational_input_d4/solve_big_rational_gaussian", + "rational_input_d4/solve_row_cleared_bareiss", + "rational_input_d5/det_big_rational_gaussian", + "rational_input_d5/det_row_cleared_bareiss", + "rational_input_d5/det_sign_row_cleared_bareiss", + "rational_input_d5/solve_big_rational_gaussian", + "rational_input_d5/solve_row_cleared_bareiss", + "rational_input_d6/det_big_rational_gaussian", + "rational_input_d6/det_row_cleared_bareiss", + "rational_input_d6/det_sign_row_cleared_bareiss", + "rational_input_d6/solve_big_rational_gaussian", + "rational_input_d6/solve_row_cleared_bareiss", + "rational_input_d7/det_big_rational_gaussian", + "rational_input_d7/det_row_cleared_bareiss", + "rational_input_d7/det_sign_row_cleared_bareiss", + "rational_input_d7/solve_big_rational_gaussian", + "rational_input_d7/solve_row_cleared_bareiss", + "rational_input_d8/det_big_rational_gaussian", + "rational_input_d8/det_row_cleared_bareiss", + "rational_input_d8/det_sign_row_cleared_bareiss", + "rational_input_d8/solve_big_rational_gaussian", + "rational_input_d8/solve_row_cleared_bareiss", + "rational_input_wide1024_d2/det_big_rational_gaussian", + "rational_input_wide1024_d2/det_row_cleared_bareiss", + "rational_input_wide1024_d2/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d2/solve_big_rational_gaussian", + "rational_input_wide1024_d2/solve_row_cleared_bareiss", + "rational_input_wide1024_d3/det_big_rational_gaussian", + "rational_input_wide1024_d3/det_row_cleared_bareiss", + "rational_input_wide1024_d3/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d3/solve_big_rational_gaussian", + "rational_input_wide1024_d3/solve_row_cleared_bareiss", + "rational_input_wide1024_d4/det_big_rational_gaussian", + "rational_input_wide1024_d4/det_row_cleared_bareiss", + "rational_input_wide1024_d4/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d4/solve_big_rational_gaussian", + "rational_input_wide1024_d4/solve_row_cleared_bareiss", + "rational_input_wide1024_d5/det_big_rational_gaussian", + "rational_input_wide1024_d5/det_row_cleared_bareiss", + "rational_input_wide1024_d5/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d5/solve_big_rational_gaussian", + "rational_input_wide1024_d5/solve_row_cleared_bareiss", + "rational_input_wide1024_d6/det_big_rational_gaussian", + "rational_input_wide1024_d6/det_row_cleared_bareiss", + "rational_input_wide1024_d6/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d6/solve_big_rational_gaussian", + "rational_input_wide1024_d6/solve_row_cleared_bareiss", + "rational_input_wide1024_d7/det_big_rational_gaussian", + "rational_input_wide1024_d7/det_row_cleared_bareiss", + "rational_input_wide1024_d7/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d7/solve_big_rational_gaussian", + "rational_input_wide1024_d7/solve_row_cleared_bareiss", + "rational_input_wide1024_d8/det_big_rational_gaussian", + "rational_input_wide1024_d8/det_row_cleared_bareiss", + "rational_input_wide1024_d8/det_sign_row_cleared_bareiss", + "rational_input_wide1024_d8/solve_big_rational_gaussian", + "rational_input_wide1024_d8/solve_row_cleared_bareiss", + "rational_input_wide256_d2/det_big_rational_gaussian", + "rational_input_wide256_d2/det_row_cleared_bareiss", + "rational_input_wide256_d2/det_sign_row_cleared_bareiss", + "rational_input_wide256_d2/solve_big_rational_gaussian", + "rational_input_wide256_d2/solve_row_cleared_bareiss", + "rational_input_wide256_d3/det_big_rational_gaussian", + "rational_input_wide256_d3/det_row_cleared_bareiss", + "rational_input_wide256_d3/det_sign_row_cleared_bareiss", + "rational_input_wide256_d3/solve_big_rational_gaussian", + "rational_input_wide256_d3/solve_row_cleared_bareiss", + "rational_input_wide256_d4/det_big_rational_gaussian", + "rational_input_wide256_d4/det_row_cleared_bareiss", + "rational_input_wide256_d4/det_sign_row_cleared_bareiss", + "rational_input_wide256_d4/solve_big_rational_gaussian", + "rational_input_wide256_d4/solve_row_cleared_bareiss", + "rational_input_wide256_d5/det_big_rational_gaussian", + "rational_input_wide256_d5/det_row_cleared_bareiss", + "rational_input_wide256_d5/det_sign_row_cleared_bareiss", + "rational_input_wide256_d5/solve_big_rational_gaussian", + "rational_input_wide256_d5/solve_row_cleared_bareiss", + "rational_input_wide256_d6/det_big_rational_gaussian", + "rational_input_wide256_d6/det_row_cleared_bareiss", + "rational_input_wide256_d6/det_sign_row_cleared_bareiss", + "rational_input_wide256_d6/solve_big_rational_gaussian", + "rational_input_wide256_d6/solve_row_cleared_bareiss", + "rational_input_wide256_d7/det_big_rational_gaussian", + "rational_input_wide256_d7/det_row_cleared_bareiss", + "rational_input_wide256_d7/det_sign_row_cleared_bareiss", + "rational_input_wide256_d7/solve_big_rational_gaussian", + "rational_input_wide256_d7/solve_row_cleared_bareiss", + "rational_input_wide256_d8/det_big_rational_gaussian", + "rational_input_wide256_d8/det_row_cleared_bareiss", + "rational_input_wide256_d8/det_sign_row_cleared_bareiss", + "rational_input_wide256_d8/solve_big_rational_gaussian", + "rational_input_wide256_d8/solve_row_cleared_bareiss" + ], + "sample_count": 100, + "statistics": [ + "mean", + "median" + ], + "unit": "ns" + } + } + }, + "schema": "research-repo-tools/complete-run/v1", + "series": [ + { + "name": "la-stack baseline", + "phase": "baseline", + "rows": { + "d16/la_stack_det": "d16/la_stack_det", + "d16/la_stack_det_from_ldlt": "d16/la_stack_det_from_ldlt", + "d16/la_stack_det_from_lu": "d16/la_stack_det_from_lu", + "d16/la_stack_det_via_lu": "d16/la_stack_det_via_lu", + "d16/la_stack_dot": "d16/la_stack_dot", + "d16/la_stack_inf_norm": "d16/la_stack_inf_norm", + "d16/la_stack_ldlt": "d16/la_stack_ldlt", + "d16/la_stack_ldlt_solve": "d16/la_stack_ldlt_solve", + "d16/la_stack_lu": "d16/la_stack_lu", + "d16/la_stack_lu_solve": "d16/la_stack_lu_solve", + "d16/la_stack_norm2_sq": "d16/la_stack_norm2_sq", + "d16/la_stack_solve_from_ldlt": "d16/la_stack_solve_from_ldlt", + "d16/la_stack_solve_from_lu": "d16/la_stack_solve_from_lu", + "d2/la_stack_det": "d2/la_stack_det", + "d2/la_stack_det_from_ldlt": "d2/la_stack_det_from_ldlt", + "d2/la_stack_det_from_lu": "d2/la_stack_det_from_lu", + "d2/la_stack_det_via_lu": "d2/la_stack_det_via_lu", + "d2/la_stack_dot": "d2/la_stack_dot", + "d2/la_stack_inf_norm": "d2/la_stack_inf_norm", + "d2/la_stack_ldlt": "d2/la_stack_ldlt", + "d2/la_stack_ldlt_solve": "d2/la_stack_ldlt_solve", + "d2/la_stack_lu": "d2/la_stack_lu", + "d2/la_stack_lu_solve": "d2/la_stack_lu_solve", + "d2/la_stack_norm2_sq": "d2/la_stack_norm2_sq", + "d2/la_stack_solve_from_ldlt": "d2/la_stack_solve_from_ldlt", + "d2/la_stack_solve_from_lu": "d2/la_stack_solve_from_lu", + "d3/la_stack_det": "d3/la_stack_det", + "d3/la_stack_det_from_ldlt": "d3/la_stack_det_from_ldlt", + "d3/la_stack_det_from_lu": "d3/la_stack_det_from_lu", + "d3/la_stack_det_via_lu": "d3/la_stack_det_via_lu", + "d3/la_stack_dot": "d3/la_stack_dot", + "d3/la_stack_inf_norm": "d3/la_stack_inf_norm", + "d3/la_stack_ldlt": "d3/la_stack_ldlt", + "d3/la_stack_ldlt_solve": "d3/la_stack_ldlt_solve", + "d3/la_stack_lu": "d3/la_stack_lu", + "d3/la_stack_lu_solve": "d3/la_stack_lu_solve", + "d3/la_stack_norm2_sq": "d3/la_stack_norm2_sq", + "d3/la_stack_solve_from_ldlt": "d3/la_stack_solve_from_ldlt", + "d3/la_stack_solve_from_lu": "d3/la_stack_solve_from_lu", + "d32/la_stack_det": "d32/la_stack_det", + "d32/la_stack_det_from_ldlt": "d32/la_stack_det_from_ldlt", + "d32/la_stack_det_from_lu": "d32/la_stack_det_from_lu", + "d32/la_stack_det_via_lu": "d32/la_stack_det_via_lu", + "d32/la_stack_dot": "d32/la_stack_dot", + "d32/la_stack_inf_norm": "d32/la_stack_inf_norm", + "d32/la_stack_ldlt": "d32/la_stack_ldlt", + "d32/la_stack_ldlt_solve": "d32/la_stack_ldlt_solve", + "d32/la_stack_lu": "d32/la_stack_lu", + "d32/la_stack_lu_solve": "d32/la_stack_lu_solve", + "d32/la_stack_norm2_sq": "d32/la_stack_norm2_sq", + "d32/la_stack_solve_from_ldlt": "d32/la_stack_solve_from_ldlt", + "d32/la_stack_solve_from_lu": "d32/la_stack_solve_from_lu", + "d4/la_stack_det": "d4/la_stack_det", + "d4/la_stack_det_from_ldlt": "d4/la_stack_det_from_ldlt", + "d4/la_stack_det_from_lu": "d4/la_stack_det_from_lu", + "d4/la_stack_det_via_lu": "d4/la_stack_det_via_lu", + "d4/la_stack_dot": "d4/la_stack_dot", + "d4/la_stack_inf_norm": "d4/la_stack_inf_norm", + "d4/la_stack_ldlt": "d4/la_stack_ldlt", + "d4/la_stack_ldlt_solve": "d4/la_stack_ldlt_solve", + "d4/la_stack_lu": "d4/la_stack_lu", + "d4/la_stack_lu_solve": "d4/la_stack_lu_solve", + "d4/la_stack_norm2_sq": "d4/la_stack_norm2_sq", + "d4/la_stack_solve_from_ldlt": "d4/la_stack_solve_from_ldlt", + "d4/la_stack_solve_from_lu": "d4/la_stack_solve_from_lu", + "d5/la_stack_det": "d5/la_stack_det", + "d5/la_stack_det_from_ldlt": "d5/la_stack_det_from_ldlt", + "d5/la_stack_det_from_lu": "d5/la_stack_det_from_lu", + "d5/la_stack_det_via_lu": "d5/la_stack_det_via_lu", + "d5/la_stack_dot": "d5/la_stack_dot", + "d5/la_stack_inf_norm": "d5/la_stack_inf_norm", + "d5/la_stack_ldlt": "d5/la_stack_ldlt", + "d5/la_stack_ldlt_solve": "d5/la_stack_ldlt_solve", + "d5/la_stack_lu": "d5/la_stack_lu", + "d5/la_stack_lu_solve": "d5/la_stack_lu_solve", + "d5/la_stack_norm2_sq": "d5/la_stack_norm2_sq", + "d5/la_stack_solve_from_ldlt": "d5/la_stack_solve_from_ldlt", + "d5/la_stack_solve_from_lu": "d5/la_stack_solve_from_lu", + "d64/la_stack_det": "d64/la_stack_det", + "d64/la_stack_det_from_ldlt": "d64/la_stack_det_from_ldlt", + "d64/la_stack_det_from_lu": "d64/la_stack_det_from_lu", + "d64/la_stack_det_via_lu": "d64/la_stack_det_via_lu", + "d64/la_stack_dot": "d64/la_stack_dot", + "d64/la_stack_inf_norm": "d64/la_stack_inf_norm", + "d64/la_stack_ldlt": "d64/la_stack_ldlt", + "d64/la_stack_ldlt_solve": "d64/la_stack_ldlt_solve", + "d64/la_stack_lu": "d64/la_stack_lu", + "d64/la_stack_lu_solve": "d64/la_stack_lu_solve", + "d64/la_stack_norm2_sq": "d64/la_stack_norm2_sq", + "d64/la_stack_solve_from_ldlt": "d64/la_stack_solve_from_ldlt", + "d64/la_stack_solve_from_lu": "d64/la_stack_solve_from_lu", + "d8/la_stack_det": "d8/la_stack_det", + "d8/la_stack_det_from_ldlt": "d8/la_stack_det_from_ldlt", + "d8/la_stack_det_from_ldlt_balanced_range": "d8/la_stack_det_from_ldlt_balanced_range", + "d8/la_stack_det_from_lu": "d8/la_stack_det_from_lu", + "d8/la_stack_det_from_lu_balanced_range": "d8/la_stack_det_from_lu_balanced_range", + "d8/la_stack_det_via_lu": "d8/la_stack_det_via_lu", + "d8/la_stack_dot": "d8/la_stack_dot", + "d8/la_stack_inf_norm": "d8/la_stack_inf_norm", + "d8/la_stack_ldlt": "d8/la_stack_ldlt", + "d8/la_stack_ldlt_ill_conditioned": "d8/la_stack_ldlt_ill_conditioned", + "d8/la_stack_ldlt_solve": "d8/la_stack_ldlt_solve", + "d8/la_stack_lu": "d8/la_stack_lu", + "d8/la_stack_lu_ill_conditioned": "d8/la_stack_lu_ill_conditioned", + "d8/la_stack_lu_pivoting": "d8/la_stack_lu_pivoting", + "d8/la_stack_lu_solve": "d8/la_stack_lu_solve", + "d8/la_stack_norm2_sq": "d8/la_stack_norm2_sq", + "d8/la_stack_solve_from_ldlt": "d8/la_stack_solve_from_ldlt", + "d8/la_stack_solve_from_lu": "d8/la_stack_solve_from_lu", + "exact_d2/det": "exact_d2/det", + "exact_d2/det_direct": "exact_d2/det_direct", + "exact_d2/det_direct_with_errbound": "exact_d2/det_direct_with_errbound", + "exact_d2/det_errbound": "exact_d2/det_errbound", + "exact_d2/det_exact": "exact_d2/det_exact", + "exact_d2/det_exact_f64_result": "exact_d2/det_exact_f64_result", + "exact_d2/det_exact_rounded_f64": "exact_d2/det_exact_rounded_f64", + "exact_d2/det_sign_exact": "exact_d2/det_sign_exact", + "exact_d2/solve_exact": "exact_d2/solve_exact", + "exact_d2/solve_exact_f64_result": "exact_d2/solve_exact_f64_result", + "exact_d2/solve_exact_rounded_f64": "exact_d2/solve_exact_rounded_f64", + "exact_d3/det": "exact_d3/det", + "exact_d3/det_direct": "exact_d3/det_direct", + "exact_d3/det_direct_with_errbound": "exact_d3/det_direct_with_errbound", + "exact_d3/det_errbound": "exact_d3/det_errbound", + "exact_d3/det_exact": "exact_d3/det_exact", + "exact_d3/det_exact_f64_result": "exact_d3/det_exact_f64_result", + "exact_d3/det_exact_rounded_f64": "exact_d3/det_exact_rounded_f64", + "exact_d3/det_sign_exact": "exact_d3/det_sign_exact", + "exact_d3/solve_exact": "exact_d3/solve_exact", + "exact_d3/solve_exact_f64_result": "exact_d3/solve_exact_f64_result", + "exact_d3/solve_exact_rounded_f64": "exact_d3/solve_exact_rounded_f64", + "exact_d4/det": "exact_d4/det", + "exact_d4/det_direct": "exact_d4/det_direct", + "exact_d4/det_direct_with_errbound": "exact_d4/det_direct_with_errbound", + "exact_d4/det_errbound": "exact_d4/det_errbound", + "exact_d4/det_exact": "exact_d4/det_exact", + "exact_d4/det_exact_f64_result": "exact_d4/det_exact_f64_result", + "exact_d4/det_exact_rounded_f64": "exact_d4/det_exact_rounded_f64", + "exact_d4/det_sign_exact": "exact_d4/det_sign_exact", + "exact_d4/solve_exact": "exact_d4/solve_exact", + "exact_d4/solve_exact_f64_result": "exact_d4/solve_exact_f64_result", + "exact_d4/solve_exact_rounded_f64": "exact_d4/solve_exact_rounded_f64", + "exact_d5/det": "exact_d5/det", + "exact_d5/det_exact": "exact_d5/det_exact", + "exact_d5/det_exact_f64_result": "exact_d5/det_exact_f64_result", + "exact_d5/det_exact_rounded_f64": "exact_d5/det_exact_rounded_f64", + "exact_d5/det_sign_exact": "exact_d5/det_sign_exact", + "exact_d5/solve_exact": "exact_d5/solve_exact", + "exact_d5/solve_exact_f64_result": "exact_d5/solve_exact_f64_result", + "exact_d5/solve_exact_rounded_f64": "exact_d5/solve_exact_rounded_f64", + "exact_hilbert_4x4/det_exact": "exact_hilbert_4x4/det_exact", + "exact_hilbert_4x4/det_sign_exact": "exact_hilbert_4x4/det_sign_exact", + "exact_hilbert_4x4/solve_exact": "exact_hilbert_4x4/solve_exact", + "exact_hilbert_4x4/solve_exact_f64_result": "exact_hilbert_4x4/solve_exact_f64_result", + "exact_hilbert_4x4/solve_exact_rounded_f64": "exact_hilbert_4x4/solve_exact_rounded_f64", + "exact_hilbert_5x5/det_exact": "exact_hilbert_5x5/det_exact", + "exact_hilbert_5x5/det_sign_exact": "exact_hilbert_5x5/det_sign_exact", + "exact_hilbert_5x5/solve_exact": "exact_hilbert_5x5/solve_exact", + "exact_hilbert_5x5/solve_exact_f64_result": "exact_hilbert_5x5/solve_exact_f64_result", + "exact_hilbert_5x5/solve_exact_rounded_f64": "exact_hilbert_5x5/solve_exact_rounded_f64", + "exact_large_entries_3x3/det_exact": "exact_large_entries_3x3/det_exact", + "exact_large_entries_3x3/det_sign_exact": "exact_large_entries_3x3/det_sign_exact", + "exact_large_entries_3x3/solve_exact": "exact_large_entries_3x3/solve_exact", + "exact_large_entries_3x3/solve_exact_f64_result": "exact_large_entries_3x3/solve_exact_f64_result", + "exact_large_entries_3x3/solve_exact_rounded_f64": "exact_large_entries_3x3/solve_exact_rounded_f64", + "exact_near_singular_3x3/det_exact": "exact_near_singular_3x3/det_exact", + "exact_near_singular_3x3/det_sign_exact": "exact_near_singular_3x3/det_sign_exact", + "exact_near_singular_3x3/solve_exact": "exact_near_singular_3x3/solve_exact", + "exact_near_singular_3x3/solve_exact_f64_result": "exact_near_singular_3x3/solve_exact_f64_result", + "exact_near_singular_3x3/solve_exact_rounded_f64": "exact_near_singular_3x3/solve_exact_rounded_f64", + "exact_random_corpus_d2/det_exact": "exact_random_corpus_d2/det_exact", + "exact_random_corpus_d2/det_sign_exact": "exact_random_corpus_d2/det_sign_exact", + "exact_random_corpus_d2/solve_exact": "exact_random_corpus_d2/solve_exact", + "exact_random_corpus_d2/solve_exact_f64_result": "exact_random_corpus_d2/solve_exact_f64_result", + "exact_random_corpus_d2/solve_exact_rounded_f64": "exact_random_corpus_d2/solve_exact_rounded_f64", + "exact_random_corpus_d3/det_exact": "exact_random_corpus_d3/det_exact", + "exact_random_corpus_d3/det_sign_exact": "exact_random_corpus_d3/det_sign_exact", + "exact_random_corpus_d3/solve_exact": "exact_random_corpus_d3/solve_exact", + "exact_random_corpus_d3/solve_exact_f64_result": "exact_random_corpus_d3/solve_exact_f64_result", + "exact_random_corpus_d3/solve_exact_rounded_f64": "exact_random_corpus_d3/solve_exact_rounded_f64", + "exact_random_corpus_d4/det_exact": "exact_random_corpus_d4/det_exact", + "exact_random_corpus_d4/det_sign_exact": "exact_random_corpus_d4/det_sign_exact", + "exact_random_corpus_d4/solve_exact": "exact_random_corpus_d4/solve_exact", + "exact_random_corpus_d4/solve_exact_f64_result": "exact_random_corpus_d4/solve_exact_f64_result", + "exact_random_corpus_d4/solve_exact_rounded_f64": "exact_random_corpus_d4/solve_exact_rounded_f64", + "exact_random_corpus_d5/det_exact": "exact_random_corpus_d5/det_exact", + "exact_random_corpus_d5/det_sign_exact": "exact_random_corpus_d5/det_sign_exact", + "exact_random_corpus_d5/solve_exact": "exact_random_corpus_d5/solve_exact", + "exact_random_corpus_d5/solve_exact_f64_result": "exact_random_corpus_d5/solve_exact_f64_result", + "exact_random_corpus_d5/solve_exact_rounded_f64": "exact_random_corpus_d5/solve_exact_rounded_f64", + "rational_input_d2/det_big_rational_gaussian": "rational_input_d2/det_big_rational_gaussian", + "rational_input_d2/det_row_cleared_bareiss": "rational_input_d2/det_row_cleared_bareiss", + "rational_input_d2/det_sign_row_cleared_bareiss": "rational_input_d2/det_sign_row_cleared_bareiss", + "rational_input_d2/solve_big_rational_gaussian": "rational_input_d2/solve_big_rational_gaussian", + "rational_input_d2/solve_row_cleared_bareiss": "rational_input_d2/solve_row_cleared_bareiss", + "rational_input_d3/det_big_rational_gaussian": "rational_input_d3/det_big_rational_gaussian", + "rational_input_d3/det_row_cleared_bareiss": "rational_input_d3/det_row_cleared_bareiss", + "rational_input_d3/det_sign_row_cleared_bareiss": "rational_input_d3/det_sign_row_cleared_bareiss", + "rational_input_d3/solve_big_rational_gaussian": "rational_input_d3/solve_big_rational_gaussian", + "rational_input_d3/solve_row_cleared_bareiss": "rational_input_d3/solve_row_cleared_bareiss", + "rational_input_d4/det_big_rational_gaussian": "rational_input_d4/det_big_rational_gaussian", + "rational_input_d4/det_row_cleared_bareiss": "rational_input_d4/det_row_cleared_bareiss", + "rational_input_d4/det_sign_row_cleared_bareiss": "rational_input_d4/det_sign_row_cleared_bareiss", + "rational_input_d4/solve_big_rational_gaussian": "rational_input_d4/solve_big_rational_gaussian", + "rational_input_d4/solve_row_cleared_bareiss": "rational_input_d4/solve_row_cleared_bareiss", + "rational_input_d5/det_big_rational_gaussian": "rational_input_d5/det_big_rational_gaussian", + "rational_input_d5/det_row_cleared_bareiss": "rational_input_d5/det_row_cleared_bareiss", + "rational_input_d5/det_sign_row_cleared_bareiss": "rational_input_d5/det_sign_row_cleared_bareiss", + "rational_input_d5/solve_big_rational_gaussian": "rational_input_d5/solve_big_rational_gaussian", + "rational_input_d5/solve_row_cleared_bareiss": "rational_input_d5/solve_row_cleared_bareiss", + "rational_input_d6/det_big_rational_gaussian": "rational_input_d6/det_big_rational_gaussian", + "rational_input_d6/det_row_cleared_bareiss": "rational_input_d6/det_row_cleared_bareiss", + "rational_input_d6/det_sign_row_cleared_bareiss": "rational_input_d6/det_sign_row_cleared_bareiss", + "rational_input_d6/solve_big_rational_gaussian": "rational_input_d6/solve_big_rational_gaussian", + "rational_input_d6/solve_row_cleared_bareiss": "rational_input_d6/solve_row_cleared_bareiss", + "rational_input_d7/det_big_rational_gaussian": "rational_input_d7/det_big_rational_gaussian", + "rational_input_d7/det_row_cleared_bareiss": "rational_input_d7/det_row_cleared_bareiss", + "rational_input_d7/det_sign_row_cleared_bareiss": "rational_input_d7/det_sign_row_cleared_bareiss", + "rational_input_d7/solve_big_rational_gaussian": "rational_input_d7/solve_big_rational_gaussian", + "rational_input_d7/solve_row_cleared_bareiss": "rational_input_d7/solve_row_cleared_bareiss", + "rational_input_d8/det_big_rational_gaussian": "rational_input_d8/det_big_rational_gaussian", + "rational_input_d8/det_row_cleared_bareiss": "rational_input_d8/det_row_cleared_bareiss", + "rational_input_d8/det_sign_row_cleared_bareiss": "rational_input_d8/det_sign_row_cleared_bareiss", + "rational_input_d8/solve_big_rational_gaussian": "rational_input_d8/solve_big_rational_gaussian", + "rational_input_d8/solve_row_cleared_bareiss": "rational_input_d8/solve_row_cleared_bareiss" + } + }, + { + "name": "la-stack current", + "phase": "current", + "rows": { + "d16/la_stack_det": "d16/la_stack_det", + "d16/la_stack_det_from_ldlt": "d16/la_stack_det_from_ldlt", + "d16/la_stack_det_from_lu": "d16/la_stack_det_from_lu", + "d16/la_stack_det_via_lu": "d16/la_stack_det_via_lu", + "d16/la_stack_dot": "d16/la_stack_dot", + "d16/la_stack_inf_norm": "d16/la_stack_inf_norm", + "d16/la_stack_ldlt": "d16/la_stack_ldlt", + "d16/la_stack_ldlt_solve": "d16/la_stack_ldlt_solve", + "d16/la_stack_lu": "d16/la_stack_lu", + "d16/la_stack_lu_solve": "d16/la_stack_lu_solve", + "d16/la_stack_norm2_sq": "d16/la_stack_norm2_sq", + "d16/la_stack_solve_from_ldlt": "d16/la_stack_solve_from_ldlt", + "d16/la_stack_solve_from_lu": "d16/la_stack_solve_from_lu", + "d2/la_stack_det": "d2/la_stack_det", + "d2/la_stack_det_from_ldlt": "d2/la_stack_det_from_ldlt", + "d2/la_stack_det_from_lu": "d2/la_stack_det_from_lu", + "d2/la_stack_det_via_lu": "d2/la_stack_det_via_lu", + "d2/la_stack_dot": "d2/la_stack_dot", + "d2/la_stack_inf_norm": "d2/la_stack_inf_norm", + "d2/la_stack_ldlt": "d2/la_stack_ldlt", + "d2/la_stack_ldlt_solve": "d2/la_stack_ldlt_solve", + "d2/la_stack_lu": "d2/la_stack_lu", + "d2/la_stack_lu_solve": "d2/la_stack_lu_solve", + "d2/la_stack_norm2_sq": "d2/la_stack_norm2_sq", + "d2/la_stack_solve_from_ldlt": "d2/la_stack_solve_from_ldlt", + "d2/la_stack_solve_from_lu": "d2/la_stack_solve_from_lu", + "d3/la_stack_det": "d3/la_stack_det", + "d3/la_stack_det_from_ldlt": "d3/la_stack_det_from_ldlt", + "d3/la_stack_det_from_lu": "d3/la_stack_det_from_lu", + "d3/la_stack_det_via_lu": "d3/la_stack_det_via_lu", + "d3/la_stack_dot": "d3/la_stack_dot", + "d3/la_stack_inf_norm": "d3/la_stack_inf_norm", + "d3/la_stack_ldlt": "d3/la_stack_ldlt", + "d3/la_stack_ldlt_solve": "d3/la_stack_ldlt_solve", + "d3/la_stack_lu": "d3/la_stack_lu", + "d3/la_stack_lu_solve": "d3/la_stack_lu_solve", + "d3/la_stack_norm2_sq": "d3/la_stack_norm2_sq", + "d3/la_stack_solve_from_ldlt": "d3/la_stack_solve_from_ldlt", + "d3/la_stack_solve_from_lu": "d3/la_stack_solve_from_lu", + "d32/la_stack_det": "d32/la_stack_det", + "d32/la_stack_det_from_ldlt": "d32/la_stack_det_from_ldlt", + "d32/la_stack_det_from_lu": "d32/la_stack_det_from_lu", + "d32/la_stack_det_via_lu": "d32/la_stack_det_via_lu", + "d32/la_stack_dot": "d32/la_stack_dot", + "d32/la_stack_inf_norm": "d32/la_stack_inf_norm", + "d32/la_stack_ldlt": "d32/la_stack_ldlt", + "d32/la_stack_ldlt_solve": "d32/la_stack_ldlt_solve", + "d32/la_stack_lu": "d32/la_stack_lu", + "d32/la_stack_lu_solve": "d32/la_stack_lu_solve", + "d32/la_stack_norm2_sq": "d32/la_stack_norm2_sq", + "d32/la_stack_solve_from_ldlt": "d32/la_stack_solve_from_ldlt", + "d32/la_stack_solve_from_lu": "d32/la_stack_solve_from_lu", + "d4/la_stack_det": "d4/la_stack_det", + "d4/la_stack_det_from_ldlt": "d4/la_stack_det_from_ldlt", + "d4/la_stack_det_from_lu": "d4/la_stack_det_from_lu", + "d4/la_stack_det_via_lu": "d4/la_stack_det_via_lu", + "d4/la_stack_dot": "d4/la_stack_dot", + "d4/la_stack_inf_norm": "d4/la_stack_inf_norm", + "d4/la_stack_ldlt": "d4/la_stack_ldlt", + "d4/la_stack_ldlt_solve": "d4/la_stack_ldlt_solve", + "d4/la_stack_lu": "d4/la_stack_lu", + "d4/la_stack_lu_solve": "d4/la_stack_lu_solve", + "d4/la_stack_norm2_sq": "d4/la_stack_norm2_sq", + "d4/la_stack_solve_from_ldlt": "d4/la_stack_solve_from_ldlt", + "d4/la_stack_solve_from_lu": "d4/la_stack_solve_from_lu", + "d5/la_stack_det": "d5/la_stack_det", + "d5/la_stack_det_from_ldlt": "d5/la_stack_det_from_ldlt", + "d5/la_stack_det_from_lu": "d5/la_stack_det_from_lu", + "d5/la_stack_det_via_lu": "d5/la_stack_det_via_lu", + "d5/la_stack_dot": "d5/la_stack_dot", + "d5/la_stack_inf_norm": "d5/la_stack_inf_norm", + "d5/la_stack_ldlt": "d5/la_stack_ldlt", + "d5/la_stack_ldlt_solve": "d5/la_stack_ldlt_solve", + "d5/la_stack_lu": "d5/la_stack_lu", + "d5/la_stack_lu_solve": "d5/la_stack_lu_solve", + "d5/la_stack_norm2_sq": "d5/la_stack_norm2_sq", + "d5/la_stack_solve_from_ldlt": "d5/la_stack_solve_from_ldlt", + "d5/la_stack_solve_from_lu": "d5/la_stack_solve_from_lu", + "d64/la_stack_det": "d64/la_stack_det", + "d64/la_stack_det_from_ldlt": "d64/la_stack_det_from_ldlt", + "d64/la_stack_det_from_lu": "d64/la_stack_det_from_lu", + "d64/la_stack_det_via_lu": "d64/la_stack_det_via_lu", + "d64/la_stack_dot": "d64/la_stack_dot", + "d64/la_stack_inf_norm": "d64/la_stack_inf_norm", + "d64/la_stack_ldlt": "d64/la_stack_ldlt", + "d64/la_stack_ldlt_solve": "d64/la_stack_ldlt_solve", + "d64/la_stack_lu": "d64/la_stack_lu", + "d64/la_stack_lu_solve": "d64/la_stack_lu_solve", + "d64/la_stack_norm2_sq": "d64/la_stack_norm2_sq", + "d64/la_stack_solve_from_ldlt": "d64/la_stack_solve_from_ldlt", + "d64/la_stack_solve_from_lu": "d64/la_stack_solve_from_lu", + "d8/la_stack_det": "d8/la_stack_det", + "d8/la_stack_det_from_ldlt": "d8/la_stack_det_from_ldlt", + "d8/la_stack_det_from_ldlt_balanced_range": "d8/la_stack_det_from_ldlt_balanced_range", + "d8/la_stack_det_from_lu": "d8/la_stack_det_from_lu", + "d8/la_stack_det_from_lu_balanced_range": "d8/la_stack_det_from_lu_balanced_range", + "d8/la_stack_det_via_lu": "d8/la_stack_det_via_lu", + "d8/la_stack_dot": "d8/la_stack_dot", + "d8/la_stack_inf_norm": "d8/la_stack_inf_norm", + "d8/la_stack_ldlt": "d8/la_stack_ldlt", + "d8/la_stack_ldlt_ill_conditioned": "d8/la_stack_ldlt_ill_conditioned", + "d8/la_stack_ldlt_solve": "d8/la_stack_ldlt_solve", + "d8/la_stack_lu": "d8/la_stack_lu", + "d8/la_stack_lu_ill_conditioned": "d8/la_stack_lu_ill_conditioned", + "d8/la_stack_lu_pivoting": "d8/la_stack_lu_pivoting", + "d8/la_stack_lu_solve": "d8/la_stack_lu_solve", + "d8/la_stack_norm2_sq": "d8/la_stack_norm2_sq", + "d8/la_stack_solve_from_ldlt": "d8/la_stack_solve_from_ldlt", + "d8/la_stack_solve_from_lu": "d8/la_stack_solve_from_lu", + "exact_d2/det": "exact_d2/det", + "exact_d2/det_direct": "exact_d2/det_direct", + "exact_d2/det_direct_with_errbound": "exact_d2/det_direct_with_errbound", + "exact_d2/det_errbound": "exact_d2/det_errbound", + "exact_d2/det_exact": "exact_d2/det_exact", + "exact_d2/det_exact_f64_result": "exact_d2/det_exact_f64_result", + "exact_d2/det_exact_rounded_f64": "exact_d2/det_exact_rounded_f64", + "exact_d2/det_sign_exact": "exact_d2/det_sign_exact", + "exact_d2/solve_exact": "exact_d2/solve_exact", + "exact_d2/solve_exact_f64_result": "exact_d2/solve_exact_f64_result", + "exact_d2/solve_exact_rounded_f64": "exact_d2/solve_exact_rounded_f64", + "exact_d3/det": "exact_d3/det", + "exact_d3/det_direct": "exact_d3/det_direct", + "exact_d3/det_direct_with_errbound": "exact_d3/det_direct_with_errbound", + "exact_d3/det_errbound": "exact_d3/det_errbound", + "exact_d3/det_exact": "exact_d3/det_exact", + "exact_d3/det_exact_f64_result": "exact_d3/det_exact_f64_result", + "exact_d3/det_exact_rounded_f64": "exact_d3/det_exact_rounded_f64", + "exact_d3/det_sign_exact": "exact_d3/det_sign_exact", + "exact_d3/solve_exact": "exact_d3/solve_exact", + "exact_d3/solve_exact_f64_result": "exact_d3/solve_exact_f64_result", + "exact_d3/solve_exact_rounded_f64": "exact_d3/solve_exact_rounded_f64", + "exact_d4/det": "exact_d4/det", + "exact_d4/det_direct": "exact_d4/det_direct", + "exact_d4/det_direct_with_errbound": "exact_d4/det_direct_with_errbound", + "exact_d4/det_errbound": "exact_d4/det_errbound", + "exact_d4/det_exact": "exact_d4/det_exact", + "exact_d4/det_exact_f64_result": "exact_d4/det_exact_f64_result", + "exact_d4/det_exact_rounded_f64": "exact_d4/det_exact_rounded_f64", + "exact_d4/det_sign_exact": "exact_d4/det_sign_exact", + "exact_d4/solve_exact": "exact_d4/solve_exact", + "exact_d4/solve_exact_f64_result": "exact_d4/solve_exact_f64_result", + "exact_d4/solve_exact_rounded_f64": "exact_d4/solve_exact_rounded_f64", + "exact_d5/det": "exact_d5/det", + "exact_d5/det_exact": "exact_d5/det_exact", + "exact_d5/det_exact_f64_result": "exact_d5/det_exact_f64_result", + "exact_d5/det_exact_rounded_f64": "exact_d5/det_exact_rounded_f64", + "exact_d5/det_sign_exact": "exact_d5/det_sign_exact", + "exact_d5/solve_exact": "exact_d5/solve_exact", + "exact_d5/solve_exact_f64_result": "exact_d5/solve_exact_f64_result", + "exact_d5/solve_exact_rounded_f64": "exact_d5/solve_exact_rounded_f64", + "exact_hilbert_4x4/det_exact": "exact_hilbert_4x4/det_exact", + "exact_hilbert_4x4/det_sign_exact": "exact_hilbert_4x4/det_sign_exact", + "exact_hilbert_4x4/solve_exact": "exact_hilbert_4x4/solve_exact", + "exact_hilbert_4x4/solve_exact_f64_result": "exact_hilbert_4x4/solve_exact_f64_result", + "exact_hilbert_4x4/solve_exact_rounded_f64": "exact_hilbert_4x4/solve_exact_rounded_f64", + "exact_hilbert_5x5/det_exact": "exact_hilbert_5x5/det_exact", + "exact_hilbert_5x5/det_sign_exact": "exact_hilbert_5x5/det_sign_exact", + "exact_hilbert_5x5/solve_exact": "exact_hilbert_5x5/solve_exact", + "exact_hilbert_5x5/solve_exact_f64_result": "exact_hilbert_5x5/solve_exact_f64_result", + "exact_hilbert_5x5/solve_exact_rounded_f64": "exact_hilbert_5x5/solve_exact_rounded_f64", + "exact_large_entries_3x3/det_exact": "exact_large_entries_3x3/det_exact", + "exact_large_entries_3x3/det_sign_exact": "exact_large_entries_3x3/det_sign_exact", + "exact_large_entries_3x3/solve_exact": "exact_large_entries_3x3/solve_exact", + "exact_large_entries_3x3/solve_exact_f64_result": "exact_large_entries_3x3/solve_exact_f64_result", + "exact_large_entries_3x3/solve_exact_rounded_f64": "exact_large_entries_3x3/solve_exact_rounded_f64", + "exact_near_singular_3x3/det_exact": "exact_near_singular_3x3/det_exact", + "exact_near_singular_3x3/det_sign_exact": "exact_near_singular_3x3/det_sign_exact", + "exact_near_singular_3x3/solve_exact": "exact_near_singular_3x3/solve_exact", + "exact_near_singular_3x3/solve_exact_f64_result": "exact_near_singular_3x3/solve_exact_f64_result", + "exact_near_singular_3x3/solve_exact_rounded_f64": "exact_near_singular_3x3/solve_exact_rounded_f64", + "exact_random_corpus_d2/det_exact": "exact_random_corpus_d2/det_exact", + "exact_random_corpus_d2/det_sign_exact": "exact_random_corpus_d2/det_sign_exact", + "exact_random_corpus_d2/solve_exact": "exact_random_corpus_d2/solve_exact", + "exact_random_corpus_d2/solve_exact_f64_result": "exact_random_corpus_d2/solve_exact_f64_result", + "exact_random_corpus_d2/solve_exact_rounded_f64": "exact_random_corpus_d2/solve_exact_rounded_f64", + "exact_random_corpus_d3/det_exact": "exact_random_corpus_d3/det_exact", + "exact_random_corpus_d3/det_sign_exact": "exact_random_corpus_d3/det_sign_exact", + "exact_random_corpus_d3/solve_exact": "exact_random_corpus_d3/solve_exact", + "exact_random_corpus_d3/solve_exact_f64_result": "exact_random_corpus_d3/solve_exact_f64_result", + "exact_random_corpus_d3/solve_exact_rounded_f64": "exact_random_corpus_d3/solve_exact_rounded_f64", + "exact_random_corpus_d4/det_exact": "exact_random_corpus_d4/det_exact", + "exact_random_corpus_d4/det_sign_exact": "exact_random_corpus_d4/det_sign_exact", + "exact_random_corpus_d4/solve_exact": "exact_random_corpus_d4/solve_exact", + "exact_random_corpus_d4/solve_exact_f64_result": "exact_random_corpus_d4/solve_exact_f64_result", + "exact_random_corpus_d4/solve_exact_rounded_f64": "exact_random_corpus_d4/solve_exact_rounded_f64", + "exact_random_corpus_d5/det_exact": "exact_random_corpus_d5/det_exact", + "exact_random_corpus_d5/det_sign_exact": "exact_random_corpus_d5/det_sign_exact", + "exact_random_corpus_d5/solve_exact": "exact_random_corpus_d5/solve_exact", + "exact_random_corpus_d5/solve_exact_f64_result": "exact_random_corpus_d5/solve_exact_f64_result", + "exact_random_corpus_d5/solve_exact_rounded_f64": "exact_random_corpus_d5/solve_exact_rounded_f64", + "rational_input_d2/det_big_rational_gaussian": "rational_input_d2/det_big_rational_gaussian", + "rational_input_d2/det_row_cleared_bareiss": "rational_input_d2/det_row_cleared_bareiss", + "rational_input_d2/det_sign_row_cleared_bareiss": "rational_input_d2/det_sign_row_cleared_bareiss", + "rational_input_d2/solve_big_rational_gaussian": "rational_input_d2/solve_big_rational_gaussian", + "rational_input_d2/solve_row_cleared_bareiss": "rational_input_d2/solve_row_cleared_bareiss", + "rational_input_d3/det_big_rational_gaussian": "rational_input_d3/det_big_rational_gaussian", + "rational_input_d3/det_row_cleared_bareiss": "rational_input_d3/det_row_cleared_bareiss", + "rational_input_d3/det_sign_row_cleared_bareiss": "rational_input_d3/det_sign_row_cleared_bareiss", + "rational_input_d3/solve_big_rational_gaussian": "rational_input_d3/solve_big_rational_gaussian", + "rational_input_d3/solve_row_cleared_bareiss": "rational_input_d3/solve_row_cleared_bareiss", + "rational_input_d4/det_big_rational_gaussian": "rational_input_d4/det_big_rational_gaussian", + "rational_input_d4/det_row_cleared_bareiss": "rational_input_d4/det_row_cleared_bareiss", + "rational_input_d4/det_sign_row_cleared_bareiss": "rational_input_d4/det_sign_row_cleared_bareiss", + "rational_input_d4/solve_big_rational_gaussian": "rational_input_d4/solve_big_rational_gaussian", + "rational_input_d4/solve_row_cleared_bareiss": "rational_input_d4/solve_row_cleared_bareiss", + "rational_input_d5/det_big_rational_gaussian": "rational_input_d5/det_big_rational_gaussian", + "rational_input_d5/det_row_cleared_bareiss": "rational_input_d5/det_row_cleared_bareiss", + "rational_input_d5/det_sign_row_cleared_bareiss": "rational_input_d5/det_sign_row_cleared_bareiss", + "rational_input_d5/solve_big_rational_gaussian": "rational_input_d5/solve_big_rational_gaussian", + "rational_input_d5/solve_row_cleared_bareiss": "rational_input_d5/solve_row_cleared_bareiss", + "rational_input_d6/det_big_rational_gaussian": "rational_input_d6/det_big_rational_gaussian", + "rational_input_d6/det_row_cleared_bareiss": "rational_input_d6/det_row_cleared_bareiss", + "rational_input_d6/det_sign_row_cleared_bareiss": "rational_input_d6/det_sign_row_cleared_bareiss", + "rational_input_d6/solve_big_rational_gaussian": "rational_input_d6/solve_big_rational_gaussian", + "rational_input_d6/solve_row_cleared_bareiss": "rational_input_d6/solve_row_cleared_bareiss", + "rational_input_d7/det_big_rational_gaussian": "rational_input_d7/det_big_rational_gaussian", + "rational_input_d7/det_row_cleared_bareiss": "rational_input_d7/det_row_cleared_bareiss", + "rational_input_d7/det_sign_row_cleared_bareiss": "rational_input_d7/det_sign_row_cleared_bareiss", + "rational_input_d7/solve_big_rational_gaussian": "rational_input_d7/solve_big_rational_gaussian", + "rational_input_d7/solve_row_cleared_bareiss": "rational_input_d7/solve_row_cleared_bareiss", + "rational_input_d8/det_big_rational_gaussian": "rational_input_d8/det_big_rational_gaussian", + "rational_input_d8/det_row_cleared_bareiss": "rational_input_d8/det_row_cleared_bareiss", + "rational_input_d8/det_sign_row_cleared_bareiss": "rational_input_d8/det_sign_row_cleared_bareiss", + "rational_input_d8/solve_big_rational_gaussian": "rational_input_d8/solve_big_rational_gaussian", + "rational_input_d8/solve_row_cleared_bareiss": "rational_input_d8/solve_row_cleared_bareiss" + } + }, + { + "name": "nalgebra", + "phase": "baseline", + "rows": { + "d16/la_stack_det_from_ldlt": "d16/nalgebra_det_from_cholesky", + "d16/la_stack_det_from_lu": "d16/nalgebra_det_from_lu", + "d16/la_stack_det_via_lu": "d16/nalgebra_det_via_lu", + "d16/la_stack_dot": "d16/nalgebra_dot", + "d16/la_stack_inf_norm": "d16/nalgebra_inf_norm", + "d16/la_stack_ldlt": "d16/nalgebra_cholesky", + "d16/la_stack_ldlt_solve": "d16/nalgebra_cholesky_solve", + "d16/la_stack_lu": "d16/nalgebra_lu", + "d16/la_stack_lu_solve": "d16/nalgebra_lu_solve", + "d16/la_stack_norm2_sq": "d16/nalgebra_norm_squared", + "d16/la_stack_solve_from_ldlt": "d16/nalgebra_solve_from_cholesky", + "d16/la_stack_solve_from_lu": "d16/nalgebra_solve_from_lu", + "d2/la_stack_det_from_ldlt": "d2/nalgebra_det_from_cholesky", + "d2/la_stack_det_from_lu": "d2/nalgebra_det_from_lu", + "d2/la_stack_det_via_lu": "d2/nalgebra_det_via_lu", + "d2/la_stack_dot": "d2/nalgebra_dot", + "d2/la_stack_inf_norm": "d2/nalgebra_inf_norm", + "d2/la_stack_ldlt": "d2/nalgebra_cholesky", + "d2/la_stack_ldlt_solve": "d2/nalgebra_cholesky_solve", + "d2/la_stack_lu": "d2/nalgebra_lu", + "d2/la_stack_lu_solve": "d2/nalgebra_lu_solve", + "d2/la_stack_norm2_sq": "d2/nalgebra_norm_squared", + "d2/la_stack_solve_from_ldlt": "d2/nalgebra_solve_from_cholesky", + "d2/la_stack_solve_from_lu": "d2/nalgebra_solve_from_lu", + "d3/la_stack_det_from_ldlt": "d3/nalgebra_det_from_cholesky", + "d3/la_stack_det_from_lu": "d3/nalgebra_det_from_lu", + "d3/la_stack_det_via_lu": "d3/nalgebra_det_via_lu", + "d3/la_stack_dot": "d3/nalgebra_dot", + "d3/la_stack_inf_norm": "d3/nalgebra_inf_norm", + "d3/la_stack_ldlt": "d3/nalgebra_cholesky", + "d3/la_stack_ldlt_solve": "d3/nalgebra_cholesky_solve", + "d3/la_stack_lu": "d3/nalgebra_lu", + "d3/la_stack_lu_solve": "d3/nalgebra_lu_solve", + "d3/la_stack_norm2_sq": "d3/nalgebra_norm_squared", + "d3/la_stack_solve_from_ldlt": "d3/nalgebra_solve_from_cholesky", + "d3/la_stack_solve_from_lu": "d3/nalgebra_solve_from_lu", + "d32/la_stack_det_from_ldlt": "d32/nalgebra_det_from_cholesky", + "d32/la_stack_det_from_lu": "d32/nalgebra_det_from_lu", + "d32/la_stack_det_via_lu": "d32/nalgebra_det_via_lu", + "d32/la_stack_dot": "d32/nalgebra_dot", + "d32/la_stack_inf_norm": "d32/nalgebra_inf_norm", + "d32/la_stack_ldlt": "d32/nalgebra_cholesky", + "d32/la_stack_ldlt_solve": "d32/nalgebra_cholesky_solve", + "d32/la_stack_lu": "d32/nalgebra_lu", + "d32/la_stack_lu_solve": "d32/nalgebra_lu_solve", + "d32/la_stack_norm2_sq": "d32/nalgebra_norm_squared", + "d32/la_stack_solve_from_ldlt": "d32/nalgebra_solve_from_cholesky", + "d32/la_stack_solve_from_lu": "d32/nalgebra_solve_from_lu", + "d4/la_stack_det_from_ldlt": "d4/nalgebra_det_from_cholesky", + "d4/la_stack_det_from_lu": "d4/nalgebra_det_from_lu", + "d4/la_stack_det_via_lu": "d4/nalgebra_det_via_lu", + "d4/la_stack_dot": "d4/nalgebra_dot", + "d4/la_stack_inf_norm": "d4/nalgebra_inf_norm", + "d4/la_stack_ldlt": "d4/nalgebra_cholesky", + "d4/la_stack_ldlt_solve": "d4/nalgebra_cholesky_solve", + "d4/la_stack_lu": "d4/nalgebra_lu", + "d4/la_stack_lu_solve": "d4/nalgebra_lu_solve", + "d4/la_stack_norm2_sq": "d4/nalgebra_norm_squared", + "d4/la_stack_solve_from_ldlt": "d4/nalgebra_solve_from_cholesky", + "d4/la_stack_solve_from_lu": "d4/nalgebra_solve_from_lu", + "d5/la_stack_det_from_ldlt": "d5/nalgebra_det_from_cholesky", + "d5/la_stack_det_from_lu": "d5/nalgebra_det_from_lu", + "d5/la_stack_det_via_lu": "d5/nalgebra_det_via_lu", + "d5/la_stack_dot": "d5/nalgebra_dot", + "d5/la_stack_inf_norm": "d5/nalgebra_inf_norm", + "d5/la_stack_ldlt": "d5/nalgebra_cholesky", + "d5/la_stack_ldlt_solve": "d5/nalgebra_cholesky_solve", + "d5/la_stack_lu": "d5/nalgebra_lu", + "d5/la_stack_lu_solve": "d5/nalgebra_lu_solve", + "d5/la_stack_norm2_sq": "d5/nalgebra_norm_squared", + "d5/la_stack_solve_from_ldlt": "d5/nalgebra_solve_from_cholesky", + "d5/la_stack_solve_from_lu": "d5/nalgebra_solve_from_lu", + "d64/la_stack_det_from_ldlt": "d64/nalgebra_det_from_cholesky", + "d64/la_stack_det_from_lu": "d64/nalgebra_det_from_lu", + "d64/la_stack_det_via_lu": "d64/nalgebra_det_via_lu", + "d64/la_stack_dot": "d64/nalgebra_dot", + "d64/la_stack_inf_norm": "d64/nalgebra_inf_norm", + "d64/la_stack_ldlt": "d64/nalgebra_cholesky", + "d64/la_stack_ldlt_solve": "d64/nalgebra_cholesky_solve", + "d64/la_stack_lu": "d64/nalgebra_lu", + "d64/la_stack_lu_solve": "d64/nalgebra_lu_solve", + "d64/la_stack_norm2_sq": "d64/nalgebra_norm_squared", + "d64/la_stack_solve_from_ldlt": "d64/nalgebra_solve_from_cholesky", + "d64/la_stack_solve_from_lu": "d64/nalgebra_solve_from_lu", + "d8/la_stack_det_from_ldlt": "d8/nalgebra_det_from_cholesky", + "d8/la_stack_det_from_lu": "d8/nalgebra_det_from_lu", + "d8/la_stack_det_via_lu": "d8/nalgebra_det_via_lu", + "d8/la_stack_dot": "d8/nalgebra_dot", + "d8/la_stack_inf_norm": "d8/nalgebra_inf_norm", + "d8/la_stack_ldlt": "d8/nalgebra_cholesky", + "d8/la_stack_ldlt_solve": "d8/nalgebra_cholesky_solve", + "d8/la_stack_lu": "d8/nalgebra_lu", + "d8/la_stack_lu_solve": "d8/nalgebra_lu_solve", + "d8/la_stack_norm2_sq": "d8/nalgebra_norm_squared", + "d8/la_stack_solve_from_ldlt": "d8/nalgebra_solve_from_cholesky", + "d8/la_stack_solve_from_lu": "d8/nalgebra_solve_from_lu" + } + }, + { + "name": "faer", + "phase": "baseline", + "rows": { + "d16/la_stack_det_from_ldlt": "d16/faer_det_from_ldlt", + "d16/la_stack_det_from_lu": "d16/faer_det_from_lu", + "d16/la_stack_det_via_lu": "d16/faer_det_via_lu", + "d16/la_stack_dot": "d16/faer_dot_native", + "d16/la_stack_inf_norm": "d16/faer_inf_norm", + "d16/la_stack_ldlt": "d16/faer_ldlt", + "d16/la_stack_ldlt_solve": "d16/faer_ldlt_solve", + "d16/la_stack_lu": "d16/faer_lu", + "d16/la_stack_lu_solve": "d16/faer_lu_solve", + "d16/la_stack_norm2_sq": "d16/faer_norm2_sq", + "d16/la_stack_solve_from_ldlt": "d16/faer_solve_from_ldlt", + "d16/la_stack_solve_from_lu": "d16/faer_solve_from_lu", + "d2/la_stack_det_from_ldlt": "d2/faer_det_from_ldlt", + "d2/la_stack_det_from_lu": "d2/faer_det_from_lu", + "d2/la_stack_det_via_lu": "d2/faer_det_via_lu", + "d2/la_stack_dot": "d2/faer_dot_native", + "d2/la_stack_inf_norm": "d2/faer_inf_norm", + "d2/la_stack_ldlt": "d2/faer_ldlt", + "d2/la_stack_ldlt_solve": "d2/faer_ldlt_solve", + "d2/la_stack_lu": "d2/faer_lu", + "d2/la_stack_lu_solve": "d2/faer_lu_solve", + "d2/la_stack_norm2_sq": "d2/faer_norm2_sq", + "d2/la_stack_solve_from_ldlt": "d2/faer_solve_from_ldlt", + "d2/la_stack_solve_from_lu": "d2/faer_solve_from_lu", + "d3/la_stack_det_from_ldlt": "d3/faer_det_from_ldlt", + "d3/la_stack_det_from_lu": "d3/faer_det_from_lu", + "d3/la_stack_det_via_lu": "d3/faer_det_via_lu", + "d3/la_stack_dot": "d3/faer_dot_native", + "d3/la_stack_inf_norm": "d3/faer_inf_norm", + "d3/la_stack_ldlt": "d3/faer_ldlt", + "d3/la_stack_ldlt_solve": "d3/faer_ldlt_solve", + "d3/la_stack_lu": "d3/faer_lu", + "d3/la_stack_lu_solve": "d3/faer_lu_solve", + "d3/la_stack_norm2_sq": "d3/faer_norm2_sq", + "d3/la_stack_solve_from_ldlt": "d3/faer_solve_from_ldlt", + "d3/la_stack_solve_from_lu": "d3/faer_solve_from_lu", + "d32/la_stack_det_from_ldlt": "d32/faer_det_from_ldlt", + "d32/la_stack_det_from_lu": "d32/faer_det_from_lu", + "d32/la_stack_det_via_lu": "d32/faer_det_via_lu", + "d32/la_stack_dot": "d32/faer_dot_native", + "d32/la_stack_inf_norm": "d32/faer_inf_norm", + "d32/la_stack_ldlt": "d32/faer_ldlt", + "d32/la_stack_ldlt_solve": "d32/faer_ldlt_solve", + "d32/la_stack_lu": "d32/faer_lu", + "d32/la_stack_lu_solve": "d32/faer_lu_solve", + "d32/la_stack_norm2_sq": "d32/faer_norm2_sq", + "d32/la_stack_solve_from_ldlt": "d32/faer_solve_from_ldlt", + "d32/la_stack_solve_from_lu": "d32/faer_solve_from_lu", + "d4/la_stack_det_from_ldlt": "d4/faer_det_from_ldlt", + "d4/la_stack_det_from_lu": "d4/faer_det_from_lu", + "d4/la_stack_det_via_lu": "d4/faer_det_via_lu", + "d4/la_stack_dot": "d4/faer_dot_native", + "d4/la_stack_inf_norm": "d4/faer_inf_norm", + "d4/la_stack_ldlt": "d4/faer_ldlt", + "d4/la_stack_ldlt_solve": "d4/faer_ldlt_solve", + "d4/la_stack_lu": "d4/faer_lu", + "d4/la_stack_lu_solve": "d4/faer_lu_solve", + "d4/la_stack_norm2_sq": "d4/faer_norm2_sq", + "d4/la_stack_solve_from_ldlt": "d4/faer_solve_from_ldlt", + "d4/la_stack_solve_from_lu": "d4/faer_solve_from_lu", + "d5/la_stack_det_from_ldlt": "d5/faer_det_from_ldlt", + "d5/la_stack_det_from_lu": "d5/faer_det_from_lu", + "d5/la_stack_det_via_lu": "d5/faer_det_via_lu", + "d5/la_stack_dot": "d5/faer_dot_native", + "d5/la_stack_inf_norm": "d5/faer_inf_norm", + "d5/la_stack_ldlt": "d5/faer_ldlt", + "d5/la_stack_ldlt_solve": "d5/faer_ldlt_solve", + "d5/la_stack_lu": "d5/faer_lu", + "d5/la_stack_lu_solve": "d5/faer_lu_solve", + "d5/la_stack_norm2_sq": "d5/faer_norm2_sq", + "d5/la_stack_solve_from_ldlt": "d5/faer_solve_from_ldlt", + "d5/la_stack_solve_from_lu": "d5/faer_solve_from_lu", + "d64/la_stack_det_from_ldlt": "d64/faer_det_from_ldlt", + "d64/la_stack_det_from_lu": "d64/faer_det_from_lu", + "d64/la_stack_det_via_lu": "d64/faer_det_via_lu", + "d64/la_stack_dot": "d64/faer_dot_native", + "d64/la_stack_inf_norm": "d64/faer_inf_norm", + "d64/la_stack_ldlt": "d64/faer_ldlt", + "d64/la_stack_ldlt_solve": "d64/faer_ldlt_solve", + "d64/la_stack_lu": "d64/faer_lu", + "d64/la_stack_lu_solve": "d64/faer_lu_solve", + "d64/la_stack_norm2_sq": "d64/faer_norm2_sq", + "d64/la_stack_solve_from_ldlt": "d64/faer_solve_from_ldlt", + "d64/la_stack_solve_from_lu": "d64/faer_solve_from_lu", + "d8/la_stack_det_from_ldlt": "d8/faer_det_from_ldlt", + "d8/la_stack_det_from_lu": "d8/faer_det_from_lu", + "d8/la_stack_det_via_lu": "d8/faer_det_via_lu", + "d8/la_stack_dot": "d8/faer_dot_native", + "d8/la_stack_inf_norm": "d8/faer_inf_norm", + "d8/la_stack_ldlt": "d8/faer_ldlt", + "d8/la_stack_ldlt_solve": "d8/faer_ldlt_solve", + "d8/la_stack_lu": "d8/faer_lu", + "d8/la_stack_lu_solve": "d8/faer_lu_solve", + "d8/la_stack_norm2_sq": "d8/faer_norm2_sq", + "d8/la_stack_solve_from_ldlt": "d8/faer_solve_from_ldlt", + "d8/la_stack_solve_from_lu": "d8/faer_solve_from_lu" + } + } + ] +} diff --git a/docs/performance.md b/docs/performance.md index e49e34f..f7563d6 100644 --- a/docs/performance.md +++ b/docs/performance.md @@ -1,334 +1,533 @@ -# Benchmark Performance + +# la-stack complete benchmark measurements -**la-stack** v0.4.6 · `d36a9e9` (HEAD) -**Source revision timestamp**: 2026-09-08 01:59:08 UTC (deterministic report metadata; not the benchmark measurement time) -**Benchmark measurement timestamp**: not recorded by Criterion; use the provenance below to identify the measured revisions and environment. -**Statistic**: median -**Suite**: all -**Scope**: release-signal +Run: `634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5` -## Benchmark Results +Evidence: [run payload](performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/run.json) · [evidence envelope](performance-runs/runs/634bc9527c2caf0a431a9bdfac082c190e1094f0b29eb6e3f28c4b96961cdec5/evidence.json). -Comparison against baseline **v0.4.5**: +Intervals are marginal timing intervals. No significance or ratio interval is inferred. -Negative point-estimate change means the current point estimate is smaller; a baseline/current point-estimate ratio above 1.00 has the same meaning. -The CI-relation column reports only whether the two marginal Criterion intervals overlap. These are not paired confidence intervals -for the change, so the report makes no statistical-significance or performance-improvement claim from interval separation. +- la-stack baseline: measured in **baseline** phase (v0.4.6), revision `0215e65763f8eecb4bcad8bf29de4aca67531aa1`. +- la-stack current: measured in **current** phase (v0.5.0), revision `51868ea4725c1a4790bba4c59341d2113b18b2bb`. +- nalgebra: measured in **baseline** phase (v0.4.6), revision `0215e65763f8eecb4bcad8bf29de4aca67531aa1`. +- faer: measured in **baseline** phase (v0.4.6), revision `0215e65763f8eecb4bcad8bf29de4aca67531aa1`. -### Reproducibility Provenance +## Mean (ns) -**Measurement environment**: recorded for both samples under one shared current harness. +| Case | la-stack baseline | la-stack current | nalgebra | faer | +| --- | --- | --- | --- | --- | +| d16/la_stack_det | 381.877 ns [380.637, 383.185] (0.95 confidence) | 402.901 ns [400.348, 405.538] (0.95 confidence) | — | — | +| d16/la_stack_det_from_ldlt | 2.88903 ns [2.88509, 2.89272] (0.95 confidence) | 2.96685 ns [2.96414, 2.96959] (0.95 confidence) | 1.69417 ns [1.68903, 1.69915] (0.95 confidence) | 4.38111 ns [4.35599, 4.40639] (0.95 confidence) | +| d16/la_stack_det_from_lu | 3.27537 ns [3.27145, 3.27908] (0.95 confidence) | 3.36911 ns [3.35909, 3.38387] (0.95 confidence) | 1.77288 ns [1.76874, 1.77689] (0.95 confidence) | 4.84201 ns [4.80326, 4.88737] (0.95 confidence) | +| d16/la_stack_det_via_lu | 361.076 ns [360.149, 362.072] (0.95 confidence) | 378.232 ns [376.384, 380.127] (0.95 confidence) | 449.519 ns [447.78, 451.056] (0.95 confidence) | 670.718 ns [668.126, 673.372] (0.95 confidence) | +| d16/la_stack_dot | 2.33211 ns [2.3303, 2.33385] (0.95 confidence) | 2.38358 ns [2.37016, 2.40181] (0.95 confidence) | 1.84951 ns [1.84743, 1.85161] (0.95 confidence) | 3.33075 ns [3.32201, 3.34079] (0.95 confidence) | +| d16/la_stack_inf_norm | 32.3675 ns [32.3089, 32.4231] (0.95 confidence) | 33.5932 ns [33.5291, 33.6597] (0.95 confidence) | 32.4876 ns [32.4397, 32.5321] (0.95 confidence) | 32.4244 ns [32.3467, 32.5071] (0.95 confidence) | +| d16/la_stack_ldlt | 339.413 ns [339.103, 339.73] (0.95 confidence) | 346.101 ns [345.399, 346.847] (0.95 confidence) | 421.755 ns [421.085, 422.399] (0.95 confidence) | 418.304 ns [417.574, 419.051] (0.95 confidence) | +| d16/la_stack_ldlt_solve | 382.168 ns [381.957, 382.379] (0.95 confidence) | 391.674 ns [390.916, 392.472] (0.95 confidence) | 627.153 ns [626.113, 628.155] (0.95 confidence) | 612.374 ns [611.444, 613.316] (0.95 confidence) | +| d16/la_stack_lu | 351.056 ns [349.975, 352.238] (0.95 confidence) | 368.085 ns [366.506, 369.652] (0.95 confidence) | 466.726 ns [465.278, 468.463] (0.95 confidence) | 642.229 ns [638.899, 645.695] (0.95 confidence) | +| d16/la_stack_lu_solve | 657.445 ns [645.98, 669.183] (0.95 confidence) | 705.624 ns [692.434, 718.691] (0.95 confidence) | 591.452 ns [589.116, 594.421] (0.95 confidence) | 937.4 ns [933.866, 940.955] (0.95 confidence) | +| d16/la_stack_norm2_sq | 2.11274 ns [2.10163, 2.12181] (0.95 confidence) | 2.14769 ns [2.14117, 2.15295] (0.95 confidence) | 1.73252 ns [1.73063, 1.73425] (0.95 confidence) | 4.09505 ns [4.09295, 4.09779] (0.95 confidence) | +| d16/la_stack_solve_from_ldlt | 27.7874 ns [27.7543, 27.8255] (0.95 confidence) | 29.0296 ns [28.9327, 29.1361] (0.95 confidence) | 119.383 ns [119.111, 119.643] (0.95 confidence) | 182.77 ns [182.572, 182.977] (0.95 confidence) | +| d16/la_stack_solve_from_lu | 191.094 ns [190.45, 191.748] (0.95 confidence) | 209.039 ns [208.68, 209.397] (0.95 confidence) | 93.5301 ns [93.2916, 93.7761] (0.95 confidence) | 257.724 ns [257.076, 258.442] (0.95 confidence) | +| d2/la_stack_det | 0.572913 ns [0.572679, 0.573159] (0.95 confidence) | 0.574026 ns [0.573741, 0.574325] (0.95 confidence) | — | — | +| d2/la_stack_det_from_ldlt | 0.500962 ns [0.498793, 0.503394] (0.95 confidence) | 0.499362 ns [0.497568, 0.501539] (0.95 confidence) | 0.438693 ns [0.437689, 0.440203] (0.95 confidence) | 0.561681 ns [0.558912, 0.564336] (0.95 confidence) | +| d2/la_stack_det_from_lu | 0.520734 ns [0.520625, 0.520855] (0.95 confidence) | 0.522398 ns [0.521702, 0.523272] (0.95 confidence) | 0.454669 ns [0.452677, 0.457018] (0.95 confidence) | 0.744466 ns [0.744105, 0.744866] (0.95 confidence) | +| d2/la_stack_det_via_lu | 1.77012 ns [1.76894, 1.7713] (0.95 confidence) | 1.74177 ns [1.73791, 1.74545] (0.95 confidence) | 0.823722 ns [0.822379, 0.825152] (0.95 confidence) | 111.409 ns [110.955, 111.884] (0.95 confidence) | +| d2/la_stack_dot | 0.613022 ns [0.608747, 0.618254] (0.95 confidence) | 0.609238 ns [0.603744, 0.615701] (0.95 confidence) | 0.598959 ns [0.596814, 0.60111] (0.95 confidence) | 2.49854 ns [2.48847, 2.51019] (0.95 confidence) | +| d2/la_stack_inf_norm | 0.703036 ns [0.702728, 0.70336] (0.95 confidence) | 0.703414 ns [0.70302, 0.703828] (0.95 confidence) | 0.559914 ns [0.559665, 0.560193] (0.95 confidence) | 0.702043 ns [0.69971, 0.704562] (0.95 confidence) | +| d2/la_stack_ldlt | 6.89019 ns [6.86966, 6.91184] (0.95 confidence) | 6.57264 ns [6.55792, 6.58782] (0.95 confidence) | 1.72147 ns [1.71961, 1.72315] (0.95 confidence) | 87.8513 ns [87.5879, 88.1188] (0.95 confidence) | +| d2/la_stack_ldlt_solve | 9.63446 ns [9.59263, 9.68741] (0.95 confidence) | 9.49552 ns [9.47364, 9.52069] (0.95 confidence) | 2.61452 ns [2.60732, 2.62125] (0.95 confidence) | 126.156 ns [125.859, 126.469] (0.95 confidence) | +| d2/la_stack_lu | 1.55973 ns [1.55555, 1.56384] (0.95 confidence) | 1.56503 ns [1.56276, 1.56702] (0.95 confidence) | 1.73762 ns [1.72118, 1.75451] (0.95 confidence) | 110.571 ns [109.243, 111.965] (0.95 confidence) | +| d2/la_stack_lu_solve | 2.03852 ns [2.02892, 2.04945] (0.95 confidence) | 2.1184 ns [2.10452, 2.13304] (0.95 confidence) | 4.56865 ns [4.555, 4.58322] (0.95 confidence) | 155.728 ns [155.154, 156.321] (0.95 confidence) | +| d2/la_stack_norm2_sq | 0.395341 ns [0.395056, 0.395603] (0.95 confidence) | 0.394679 ns [0.393798, 0.395596] (0.95 confidence) | 0.388882 ns [0.388576, 0.389166] (0.95 confidence) | 4.12739 ns [4.12475, 4.13006] (0.95 confidence) | +| d2/la_stack_solve_from_ldlt | 1.2274 ns [1.22166, 1.2324] (0.95 confidence) | 1.22675 ns [1.22129, 1.23174] (0.95 confidence) | 1.24962 ns [1.24721, 1.25192] (0.95 confidence) | 39.4451 ns [39.3679, 39.523] (0.95 confidence) | +| d2/la_stack_solve_from_lu | 1.24875 ns [1.24645, 1.25126] (0.95 confidence) | 1.26313 ns [1.26011, 1.26619] (0.95 confidence) | 2.90591 ns [2.8988, 2.91369] (0.95 confidence) | 49.2788 ns [49.1287, 49.4294] (0.95 confidence) | +| d3/la_stack_det | 1.35771 ns [1.35126, 1.36442] (0.95 confidence) | 1.35469 ns [1.34796, 1.36169] (0.95 confidence) | — | — | +| d3/la_stack_det_from_ldlt | 0.614083 ns [0.612319, 0.616346] (0.95 confidence) | 0.595951 ns [0.595668, 0.596257] (0.95 confidence) | 0.498063 ns [0.497033, 0.499209] (0.95 confidence) | 0.764778 ns [0.76241, 0.767909] (0.95 confidence) | +| d3/la_stack_det_from_lu | 0.711127 ns [0.710008, 0.712378] (0.95 confidence) | 0.694031 ns [0.693802, 0.694265] (0.95 confidence) | 0.484274 ns [0.483243, 0.485335] (0.95 confidence) | 1.01339 ns [1.01104, 1.01612] (0.95 confidence) | +| d3/la_stack_det_via_lu | 8.82548 ns [8.7993, 8.8528] (0.95 confidence) | 8.71392 ns [8.69608, 8.73389] (0.95 confidence) | 12.7489 ns [12.7001, 12.7992] (0.95 confidence) | 138.965 ns [138.652, 139.286] (0.95 confidence) | +| d3/la_stack_dot | 0.685432 ns [0.683514, 0.687459] (0.95 confidence) | 0.673633 ns [0.672134, 0.675244] (0.95 confidence) | 0.708431 ns [0.706012, 0.711061] (0.95 confidence) | 3.0376 ns [3.01401, 3.06103] (0.95 confidence) | +| d3/la_stack_inf_norm | 1.388 ns [1.38622, 1.38986] (0.95 confidence) | 1.37242 ns [1.36981, 1.37579] (0.95 confidence) | 1.19893 ns [1.19719, 1.20096] (0.95 confidence) | 1.34545 ns [1.34132, 1.34945] (0.95 confidence) | +| d3/la_stack_ldlt | 13.4432 ns [13.3942, 13.4942] (0.95 confidence) | 13.0217 ns [12.9829, 13.0597] (0.95 confidence) | 3.95291 ns [3.94565, 3.96002] (0.95 confidence) | 99.436 ns [99.2032, 99.6837] (0.95 confidence) | +| d3/la_stack_ldlt_solve | 9.86949 ns [9.83823, 9.90216] (0.95 confidence) | 9.81578 ns [9.77303, 9.86134] (0.95 confidence) | 5.73265 ns [5.71507, 5.74869] (0.95 confidence) | 147.806 ns [146.995, 149.019] (0.95 confidence) | +| d3/la_stack_lu | 8.69776 ns [8.64958, 8.75174] (0.95 confidence) | 8.37318 ns [8.35947, 8.38655] (0.95 confidence) | 12.8778 ns [12.7868, 12.9756] (0.95 confidence) | 139.028 ns [138.531, 139.552] (0.95 confidence) | +| d3/la_stack_lu_solve | 9.9778 ns [9.96433, 9.9906] (0.95 confidence) | 9.91611 ns [9.89981, 9.93134] (0.95 confidence) | 33.086 ns [32.9543, 33.2231] (0.95 confidence) | 191.944 ns [191.471, 192.41] (0.95 confidence) | +| d3/la_stack_norm2_sq | 0.509357 ns [0.507526, 0.511601] (0.95 confidence) | 0.4988 ns [0.497818, 0.500049] (0.95 confidence) | 0.45501 ns [0.452661, 0.458448] (0.95 confidence) | 4.26834 ns [4.25797, 4.27851] (0.95 confidence) | +| d3/la_stack_solve_from_ldlt | 1.84441 ns [1.82821, 1.86838] (0.95 confidence) | 1.78465 ns [1.78277, 1.78675] (0.95 confidence) | 3.03299 ns [3.01328, 3.06015] (0.95 confidence) | 41.4997 ns [41.3809, 41.6231] (0.95 confidence) | +| d3/la_stack_solve_from_lu | 2.12983 ns [2.12464, 2.13515] (0.95 confidence) | 2.06385 ns [2.06024, 2.06793] (0.95 confidence) | 4.70164 ns [4.68838, 4.72005] (0.95 confidence) | 54.0274 ns [53.7538, 54.346] (0.95 confidence) | +| d32/la_stack_det | 2178.59 ns [2173.51, 2183.86] (0.95 confidence) | 2252.39 ns [2247.91, 2256.88] (0.95 confidence) | — | — | +| d32/la_stack_det_from_ldlt | 7.78595 ns [7.77144, 7.79968] (0.95 confidence) | 8.16646 ns [8.15442, 8.17878] (0.95 confidence) | 3.07986 ns [3.07157, 3.08763] (0.95 confidence) | 8.61234 ns [8.58365, 8.64235] (0.95 confidence) | +| d32/la_stack_det_from_lu | 9.12572 ns [9.10623, 9.14645] (0.95 confidence) | 9.57734 ns [9.54482, 9.61145] (0.95 confidence) | 3.06712 ns [3.06069, 3.07261] (0.95 confidence) | 8.77433 ns [8.74152, 8.80883] (0.95 confidence) | +| d32/la_stack_det_via_lu | 2043.73 ns [2040.32, 2047.24] (0.95 confidence) | 2106.39 ns [2100.31, 2113.01] (0.95 confidence) | 2268.7 ns [2263.43, 2274.04] (0.95 confidence) | 2389.34 ns [2384.5, 2394.1] (0.95 confidence) | +| d32/la_stack_dot | 4.0179 ns [4.01365, 4.02204] (0.95 confidence) | 4.09956 ns [4.09462, 4.1045] (0.95 confidence) | 4.00272 ns [3.99739, 4.00814] (0.95 confidence) | 4.89614 ns [4.88595, 4.90669] (0.95 confidence) | +| d32/la_stack_inf_norm | 127.564 ns [127.21, 127.884] (0.95 confidence) | 133.649 ns [133.334, 134.06] (0.95 confidence) | 160.034 ns [158.875, 161.173] (0.95 confidence) | 162.59 ns [162.29, 162.884] (0.95 confidence) | +| d32/la_stack_ldlt | 2392.54 ns [2386.27, 2402.48] (0.95 confidence) | 2430.23 ns [2426.93, 2433.6] (0.95 confidence) | 2117.9 ns [2097.96, 2145.6] (0.95 confidence) | 1400.06 ns [1395.44, 1404.88] (0.95 confidence) | +| d32/la_stack_ldlt_solve | 2710.85 ns [2707.16, 2714.57] (0.95 confidence) | 2778.27 ns [2771.53, 2785.45] (0.95 confidence) | 2765.06 ns [2748.24, 2781.59] (0.95 confidence) | 1864.35 ns [1861.11, 1867.91] (0.95 confidence) | +| d32/la_stack_lu | 2136.08 ns [2131.23, 2140.81] (0.95 confidence) | 2218.43 ns [2211.08, 2225.47] (0.95 confidence) | 2123.07 ns [2119.46, 2126.64] (0.95 confidence) | 2367.71 ns [2362.3, 2373.17] (0.95 confidence) | +| d32/la_stack_lu_solve | 2764.68 ns [2760.11, 2769.3] (0.95 confidence) | 2835.01 ns [2827.86, 2842.8] (0.95 confidence) | 2693.92 ns [2678.98, 2707.72] (0.95 confidence) | 3030.93 ns [3023.73, 3038.55] (0.95 confidence) | +| d32/la_stack_norm2_sq | 3.96169 ns [3.95641, 3.96658] (0.95 confidence) | 4.11365 ns [4.10097, 4.12831] (0.95 confidence) | 3.61741 ns [3.60959, 3.62457] (0.95 confidence) | 4.2178 ns [4.21225, 4.22402] (0.95 confidence) | +| d32/la_stack_solve_from_ldlt | 311.146 ns [310.312, 312.038] (0.95 confidence) | 320.497 ns [319.642, 321.43] (0.95 confidence) | 547.331 ns [546.18, 548.448] (0.95 confidence) | 469.58 ns [469.101, 470.078] (0.95 confidence) | +| d32/la_stack_solve_from_lu | 670.442 ns [667.718, 673.547] (0.95 confidence) | 736.257 ns [734.399, 738.2] (0.95 confidence) | 328.251 ns [327.657, 328.798] (0.95 confidence) | 639.747 ns [638.454, 641.443] (0.95 confidence) | +| d4/la_stack_det | 2.60575 ns [2.59285, 2.62314] (0.95 confidence) | 2.54743 ns [2.53963, 2.55628] (0.95 confidence) | — | — | +| d4/la_stack_det_from_ldlt | 0.792381 ns [0.790149, 0.794662] (0.95 confidence) | 0.771954 ns [0.771298, 0.772628] (0.95 confidence) | 0.504207 ns [0.501823, 0.506781] (0.95 confidence) | 1.00565 ns [1.00376, 1.00786] (0.95 confidence) | +| d4/la_stack_det_from_lu | 0.888149 ns [0.886686, 0.889733] (0.95 confidence) | 0.872037 ns [0.87126, 0.872845] (0.95 confidence) | 0.594308 ns [0.592273, 0.596502] (0.95 confidence) | 1.25897 ns [1.25659, 1.26189] (0.95 confidence) | +| d4/la_stack_det_via_lu | 14.5843 ns [14.5431, 14.6307] (0.95 confidence) | 14.3903 ns [14.3579, 14.4264] (0.95 confidence) | 31.3107 ns [31.2583, 31.366] (0.95 confidence) | 165.205 ns [164.673, 165.745] (0.95 confidence) | +| d4/la_stack_dot | 0.69749 ns [0.694191, 0.701078] (0.95 confidence) | 0.687464 ns [0.685363, 0.689699] (0.95 confidence) | 0.670387 ns [0.668655, 0.672222] (0.95 confidence) | 2.69579 ns [2.67877, 2.71198] (0.95 confidence) | +| d4/la_stack_inf_norm | 2.39947 ns [2.39632, 2.40289] (0.95 confidence) | 2.37035 ns [2.36783, 2.37291] (0.95 confidence) | 2.08687 ns [2.0825, 2.09242] (0.95 confidence) | 2.10548 ns [2.09838, 2.11288] (0.95 confidence) | +| d4/la_stack_ldlt | 18.2527 ns [18.2261, 18.2822] (0.95 confidence) | 17.8838 ns [17.8541, 17.9128] (0.95 confidence) | 8.89904 ns [8.41541, 9.46346] (0.95 confidence) | 124.877 ns [124.327, 125.456] (0.95 confidence) | +| d4/la_stack_ldlt_solve | 18.1806 ns [18.1449, 18.2196] (0.95 confidence) | 18.0042 ns [17.9668, 18.0427] (0.95 confidence) | 11.5421 ns [11.5154, 11.5682] (0.95 confidence) | 166.424 ns [166.006, 166.846] (0.95 confidence) | +| d4/la_stack_lu | 13.9015 ns [13.8778, 13.9256] (0.95 confidence) | 13.781 ns [13.7598, 13.8022] (0.95 confidence) | 30.1319 ns [30.0809, 30.1859] (0.95 confidence) | 158.856 ns [158.369, 159.35] (0.95 confidence) | +| d4/la_stack_lu_solve | 22.1298 ns [22.0973, 22.1616] (0.95 confidence) | 21.7429 ns [21.7173, 21.7676] (0.95 confidence) | 54.9585 ns [54.8726, 55.0434] (0.95 confidence) | 222.052 ns [221.391, 222.733] (0.95 confidence) | +| d4/la_stack_norm2_sq | 0.462637 ns [0.461733, 0.463576] (0.95 confidence) | 0.486285 ns [0.481086, 0.49246] (0.95 confidence) | 0.545274 ns [0.543567, 0.547246] (0.95 confidence) | 4.22054 ns [4.21341, 4.22791] (0.95 confidence) | +| d4/la_stack_solve_from_ldlt | 2.55737 ns [2.54503, 2.57192] (0.95 confidence) | 2.52901 ns [2.51247, 2.5479] (0.95 confidence) | 5.81531 ns [5.80181, 5.82826] (0.95 confidence) | 41.7363 ns [41.6474, 41.8243] (0.95 confidence) | +| d4/la_stack_solve_from_lu | 4.04715 ns [4.03604, 4.0589] (0.95 confidence) | 3.9379 ns [3.9308, 3.94505] (0.95 confidence) | 5.83199 ns [5.82423, 5.84028] (0.95 confidence) | 55.4299 ns [55.2979, 55.5682] (0.95 confidence) | +| d5/la_stack_det | 40.9326 ns [40.8844, 40.9807] (0.95 confidence) | 41.1163 ns [41.0652, 41.1706] (0.95 confidence) | — | — | +| d5/la_stack_det_from_ldlt | 0.877508 ns [0.877122, 0.877986] (0.95 confidence) | 0.881074 ns [0.879439, 0.883348] (0.95 confidence) | 0.58162 ns [0.580574, 0.582497] (0.95 confidence) | 1.23603 ns [1.23446, 1.2376] (0.95 confidence) | +| d5/la_stack_det_from_lu | 1.03418 ns [1.03344, 1.03503] (0.95 confidence) | 1.03383 ns [1.0329, 1.03483] (0.95 confidence) | 0.670221 ns [0.666679, 0.673956] (0.95 confidence) | 1.4881 ns [1.48622, 1.49048] (0.95 confidence) | +| d5/la_stack_det_via_lu | 33.4257 ns [33.3587, 33.4966] (0.95 confidence) | 33.6302 ns [33.5526, 33.7071] (0.95 confidence) | 51.4905 ns [51.3641, 51.6174] (0.95 confidence) | 191.54 ns [191.07, 192.02] (0.95 confidence) | +| d5/la_stack_dot | 0.836779 ns [0.833711, 0.83957] (0.95 confidence) | 0.831733 ns [0.827993, 0.835329] (0.95 confidence) | 0.764813 ns [0.763295, 0.766305] (0.95 confidence) | 2.68543 ns [2.66798, 2.70487] (0.95 confidence) | +| d5/la_stack_inf_norm | 3.46401 ns [3.46135, 3.4665] (0.95 confidence) | 3.46346 ns [3.4591, 3.46757] (0.95 confidence) | 3.2708 ns [3.26629, 3.2751] (0.95 confidence) | 3.15991 ns [3.15843, 3.16134] (0.95 confidence) | +| d5/la_stack_ldlt | 24.9692 ns [24.9211, 25.0139] (0.95 confidence) | 25.0969 ns [25.0624, 25.1293] (0.95 confidence) | 25.349 ns [24.6129, 26.0987] (0.95 confidence) | 137.428 ns [137.072, 137.782] (0.95 confidence) | +| d5/la_stack_ldlt_solve | 30.391 ns [30.341, 30.4413] (0.95 confidence) | 30.5802 ns [30.5263, 30.6359] (0.95 confidence) | 40.6196 ns [40.3922, 40.9033] (0.95 confidence) | 200.976 ns [200.255, 201.734] (0.95 confidence) | +| d5/la_stack_lu | 33.4374 ns [33.3708, 33.506] (0.95 confidence) | 33.4032 ns [33.3242, 33.4834] (0.95 confidence) | 50.6301 ns [50.2232, 51.1681] (0.95 confidence) | 180.438 ns [180.051, 180.816] (0.95 confidence) | +| d5/la_stack_lu_solve | 48.4078 ns [48.2116, 48.5877] (0.95 confidence) | 49.1281 ns [49.0529, 49.2046] (0.95 confidence) | 74.7195 ns [74.4329, 74.997] (0.95 confidence) | 272.634 ns [271.856, 273.405] (0.95 confidence) | +| d5/la_stack_norm2_sq | 0.526476 ns [0.526056, 0.526905] (0.95 confidence) | 0.526933 ns [0.526405, 0.52746] (0.95 confidence) | 0.503805 ns [0.503496, 0.504142] (0.95 confidence) | 4.13517 ns [4.13249, 4.13792] (0.95 confidence) | +| d5/la_stack_solve_from_ldlt | 3.94011 ns [3.93095, 3.94896] (0.95 confidence) | 3.90871 ns [3.90269, 3.91439] (0.95 confidence) | 9.15833 ns [9.04235, 9.33769] (0.95 confidence) | 60.2768 ns [60.118, 60.4392] (0.95 confidence) | +| d5/la_stack_solve_from_lu | 6.0822 ns [6.05978, 6.10429] (0.95 confidence) | 6.13798 ns [6.12943, 6.1468] (0.95 confidence) | 8.98041 ns [8.96122, 8.99972] (0.95 confidence) | 84.2034 ns [84.0547, 84.3511] (0.95 confidence) | +| d64/la_stack_det | 15387.5 ns [15288.9, 15484.2] (0.95 confidence) | 15537.1 ns [15450.8, 15624] (0.95 confidence) | — | — | +| d64/la_stack_det_from_ldlt | 23.0039 ns [22.9162, 23.0988] (0.95 confidence) | 24.3583 ns [24.3062, 24.4099] (0.95 confidence) | 8.42777 ns [8.41132, 8.44438] (0.95 confidence) | 20.9039 ns [20.8362, 20.976] (0.95 confidence) | +| d64/la_stack_det_from_lu | 23.1735 ns [23.1279, 23.2159] (0.95 confidence) | 24.3531 ns [24.3013, 24.4068] (0.95 confidence) | 8.62853 ns [8.61019, 8.64531] (0.95 confidence) | 21.2206 ns [21.1872, 21.2522] (0.95 confidence) | +| d64/la_stack_det_via_lu | 14581.7 ns [14536.4, 14627.3] (0.95 confidence) | 14845.3 ns [14796.5, 14894] (0.95 confidence) | 13016.8 ns [13002.1, 13031.3] (0.95 confidence) | 11082.9 ns [11056.6, 11112.3] (0.95 confidence) | +| d64/la_stack_dot | 10.8549 ns [10.8255, 10.8815] (0.95 confidence) | 11.5028 ns [11.4821, 11.523] (0.95 confidence) | 7.98078 ns [7.96332, 7.99756] (0.95 confidence) | 8.20819 ns [8.1802, 8.23787] (0.95 confidence) | +| d64/la_stack_inf_norm | 626.923 ns [625.576, 628.207] (0.95 confidence) | 676.668 ns [674.536, 679.046] (0.95 confidence) | 1248.06 ns [1244.39, 1251.4] (0.95 confidence) | 1563.64 ns [1560.04, 1567.18] (0.95 confidence) | +| d64/la_stack_ldlt | 16846.1 ns [16801.6, 16898.6] (0.95 confidence) | 17169.9 ns [17148.4, 17192.6] (0.95 confidence) | 10743.9 ns [10734.7, 10752.7] (0.95 confidence) | 7015.69 ns [7001.32, 7034.73] (0.95 confidence) | +| d64/la_stack_ldlt_solve | 19083.2 ns [19057.2, 19108.6] (0.95 confidence) | 19515.9 ns [19474.6, 19564.5] (0.95 confidence) | 12295.2 ns [12278, 12311.8] (0.95 confidence) | 8289.7 ns [8276.38, 8307.26] (0.95 confidence) | +| d64/la_stack_lu | 14704.2 ns [14683.9, 14725.4] (0.95 confidence) | 14949.5 ns [14919.7, 14979.8] (0.95 confidence) | 13518 ns [13474.3, 13555.6] (0.95 confidence) | 11156.9 ns [11118.2, 11197.3] (0.95 confidence) | +| d64/la_stack_lu_solve | 17976.7 ns [17911.4, 18039.2] (0.95 confidence) | 18307.6 ns [18202.4, 18412.5] (0.95 confidence) | 13841.5 ns [13828.4, 13854.6] (0.95 confidence) | 12773.7 ns [12732.2, 12819.9] (0.95 confidence) | +| d64/la_stack_norm2_sq | 10.8698 ns [10.8185, 10.9261] (0.95 confidence) | 11.4462 ns [11.4135, 11.4806] (0.95 confidence) | 8.49885 ns [8.48628, 8.51061] (0.95 confidence) | 6.38979 ns [6.33342, 6.44895] (0.95 confidence) | +| d64/la_stack_solve_from_ldlt | 1074.91 ns [1072.26, 1077.89] (0.95 confidence) | 1105.08 ns [1102.15, 1108.29] (0.95 confidence) | 1285.03 ns [1282.74, 1287.24] (0.95 confidence) | 1255.36 ns [1253.06, 1257.76] (0.95 confidence) | +| d64/la_stack_solve_from_lu | 2531.46 ns [2526.7, 2536.23] (0.95 confidence) | 2719.87 ns [2713.15, 2726.53] (0.95 confidence) | 790.936 ns [790.432, 791.429] (0.95 confidence) | 1684.65 ns [1682.86, 1686.39] (0.95 confidence) | +| d8/la_stack_det | 95.1736 ns [94.8209, 95.5046] (0.95 confidence) | 95.4649 ns [95.0827, 95.8222] (0.95 confidence) | — | — | +| d8/la_stack_det_from_ldlt | 1.31426 ns [1.31128, 1.31763] (0.95 confidence) | 1.30756 ns [1.30637, 1.30868] (0.95 confidence) | 0.906331 ns [0.901297, 0.911379] (0.95 confidence) | 2.00406 ns [1.98489, 2.02829] (0.95 confidence) | +| d8/la_stack_det_from_ldlt_balanced_range | 8.77584 ns [8.75176, 8.79992] (0.95 confidence) | 9.02872 ns [9.00819, 9.04959] (0.95 confidence) | — | — | +| d8/la_stack_det_from_lu | 1.46542 ns [1.46401, 1.46677] (0.95 confidence) | 1.47263 ns [1.46917, 1.47648] (0.95 confidence) | 0.988416 ns [0.984047, 0.992586] (0.95 confidence) | 2.31004 ns [2.27776, 2.34696] (0.95 confidence) | +| d8/la_stack_det_from_lu_balanced_range | 9.37731 ns [9.34858, 9.40608] (0.95 confidence) | 9.53277 ns [9.38008, 9.72639] (0.95 confidence) | — | — | +| d8/la_stack_det_via_lu | 89.5977 ns [89.0677, 90.1101] (0.95 confidence) | 91.1588 ns [90.6694, 91.6617] (0.95 confidence) | 140.441 ns [140.02, 140.873] (0.95 confidence) | 268.759 ns [267.679, 269.843] (0.95 confidence) | +| d8/la_stack_dot | 0.921649 ns [0.919907, 0.923464] (0.95 confidence) | 0.940921 ns [0.938419, 0.943604] (0.95 confidence) | 1.33039 ns [1.32865, 1.33213] (0.95 confidence) | 2.57592 ns [2.55781, 2.59931] (0.95 confidence) | +| d8/la_stack_inf_norm | 8.40687 ns [8.38488, 8.42637] (0.95 confidence) | 8.43383 ns [8.41901, 8.44747] (0.95 confidence) | 8.0359 ns [8.02179, 8.04917] (0.95 confidence) | 8.09335 ns [8.08499, 8.10121] (0.95 confidence) | +| d8/la_stack_ldlt | 90.7807 ns [90.5801, 90.9944] (0.95 confidence) | 90.5629 ns [90.4554, 90.6769] (0.95 confidence) | 101.992 ns [101.338, 103.027] (0.95 confidence) | 195.409 ns [195.078, 195.749] (0.95 confidence) | +| d8/la_stack_ldlt_ill_conditioned | 90.3923 ns [90.2556, 90.5439] (0.95 confidence) | 90.2935 ns [90.2018, 90.3852] (0.95 confidence) | — | — | +| d8/la_stack_ldlt_solve | 103.719 ns [103.505, 103.96] (0.95 confidence) | 105.515 ns [105.221, 105.816] (0.95 confidence) | 146.11 ns [144.922, 147.301] (0.95 confidence) | 266.909 ns [266.634, 267.191] (0.95 confidence) | +| d8/la_stack_lu | 89.8157 ns [89.4433, 90.1605] (0.95 confidence) | 90.2377 ns [90.0297, 90.4463] (0.95 confidence) | 133.03 ns [132.41, 133.614] (0.95 confidence) | 258.431 ns [257.648, 259.234] (0.95 confidence) | +| d8/la_stack_lu_ill_conditioned | 89.7279 ns [89.2354, 90.2294] (0.95 confidence) | 89.0322 ns [88.591, 89.4492] (0.95 confidence) | — | — | +| d8/la_stack_lu_pivoting | 94.4715 ns [94.2755, 94.6681] (0.95 confidence) | 95.5521 ns [95.3155, 95.7964] (0.95 confidence) | — | — | +| d8/la_stack_lu_solve | 130.536 ns [130.281, 130.8] (0.95 confidence) | 133.72 ns [133.437, 134.014] (0.95 confidence) | 166.473 ns [166.13, 166.819] (0.95 confidence) | 374.434 ns [373.338, 375.529] (0.95 confidence) | +| d8/la_stack_norm2_sq | 0.671224 ns [0.668953, 0.673608] (0.95 confidence) | 0.66535 ns [0.664149, 0.66646] (0.95 confidence) | 0.938623 ns [0.935849, 0.941726] (0.95 confidence) | 4.15172 ns [4.14727, 4.15633] (0.95 confidence) | +| d8/la_stack_solve_from_ldlt | 8.20154 ns [8.19397, 8.20861] (0.95 confidence) | 8.19407 ns [8.18184, 8.2057] (0.95 confidence) | 21.7461 ns [21.6501, 21.8547] (0.95 confidence) | 69.7129 ns [69.6386, 69.7896] (0.95 confidence) | +| d8/la_stack_solve_from_lu | 13.3991 ns [13.3776, 13.4204] (0.95 confidence) | 13.4357 ns [13.4092, 13.4667] (0.95 confidence) | 16.1861 ns [16.1545, 16.2149] (0.95 confidence) | 102.928 ns [102.7, 103.162] (0.95 confidence) | +| exact_d2/det | 0.438193 ns [0.437655, 0.438771] (0.95 confidence) | 0.460065 ns [0.452834, 0.470007] (0.95 confidence) | — | — | +| exact_d2/det_direct | 0.441632 ns [0.44026, 0.44306] (0.95 confidence) | 0.449694 ns [0.447109, 0.452912] (0.95 confidence) | — | — | +| exact_d2/det_direct_with_errbound | 1.74211 ns [1.73988, 1.7443] (0.95 confidence) | 1.77617 ns [1.77383, 1.77893] (0.95 confidence) | — | — | +| exact_d2/det_errbound | 1.59072 ns [1.58958, 1.59192] (0.95 confidence) | 1.62371 ns [1.6209, 1.62705] (0.95 confidence) | — | — | +| exact_d2/det_exact | 105.56 ns [105.366, 105.711] (0.95 confidence) | 107.55 ns [106.786, 108.249] (0.95 confidence) | — | — | +| exact_d2/det_exact_f64_result | 66.7252 ns [66.5659, 66.8851] (0.95 confidence) | 69.1351 ns [68.9925, 69.2744] (0.95 confidence) | — | — | +| exact_d2/det_exact_rounded_f64 | 68.598 ns [68.4678, 68.7306] (0.95 confidence) | 71.2031 ns [70.9945, 71.4249] (0.95 confidence) | — | — | +| exact_d2/det_sign_exact | 2.98341 ns [2.978, 2.98886] (0.95 confidence) | 3.06474 ns [3.05713, 3.07371] (0.95 confidence) | — | — | +| exact_d2/solve_exact | 7101.53 ns [7090.38, 7112.74] (0.95 confidence) | 7308.61 ns [7282.98, 7340.25] (0.95 confidence) | — | — | +| exact_d2/solve_exact_f64_result | 7239.05 ns [7223.45, 7256.51] (0.95 confidence) | 7492.75 ns [7479.79, 7506.44] (0.95 confidence) | — | — | +| exact_d2/solve_exact_rounded_f64 | 7533.28 ns [7513.86, 7554.41] (0.95 confidence) | 7669.97 ns [7653.92, 7686.35] (0.95 confidence) | — | — | +| exact_d3/det | 0.830687 ns [0.828107, 0.833417] (0.95 confidence) | 0.84932 ns [0.846959, 0.85175] (0.95 confidence) | — | — | +| exact_d3/det_direct | 0.822643 ns [0.821397, 0.824092] (0.95 confidence) | 0.846636 ns [0.844202, 0.849169] (0.95 confidence) | — | — | +| exact_d3/det_direct_with_errbound | 3.32045 ns [3.31512, 3.32655] (0.95 confidence) | 3.4032 ns [3.39678, 3.40996] (0.95 confidence) | — | — | +| exact_d3/det_errbound | 3.2997 ns [3.29731, 3.30252] (0.95 confidence) | 3.37902 ns [3.37142, 3.38805] (0.95 confidence) | — | — | +| exact_d3/det_exact | 334.11 ns [333.523, 334.726] (0.95 confidence) | 347.209 ns [346.755, 347.654] (0.95 confidence) | — | — | +| exact_d3/det_exact_f64_result | 302.755 ns [301.839, 303.884] (0.95 confidence) | 308.088 ns [307.635, 308.556] (0.95 confidence) | — | — | +| exact_d3/det_exact_rounded_f64 | 303.78 ns [303.492, 304.073] (0.95 confidence) | 311.269 ns [310.686, 311.827] (0.95 confidence) | — | — | +| exact_d3/det_sign_exact | 4.71189 ns [4.70753, 4.71633] (0.95 confidence) | 4.80312 ns [4.79668, 4.80958] (0.95 confidence) | — | — | +| exact_d3/solve_exact | 31219.5 ns [31095.6, 31360.1] (0.95 confidence) | 31410.7 ns [31353.4, 31469.3] (0.95 confidence) | — | — | +| exact_d3/solve_exact_f64_result | 30895 ns [30833.8, 30955.8] (0.95 confidence) | 33106.6 ns [32764.1, 33600.4] (0.95 confidence) | — | — | +| exact_d3/solve_exact_rounded_f64 | 31328.3 ns [31283.9, 31372.9] (0.95 confidence) | 31914.8 ns [31842.1, 31989.9] (0.95 confidence) | — | — | +| exact_d4/det | 3.22311 ns [3.21642, 3.23298] (0.95 confidence) | 3.259 ns [3.24465, 3.276] (0.95 confidence) | — | — | +| exact_d4/det_direct | 2.35399 ns [2.35274, 2.3554] (0.95 confidence) | 2.37516 ns [2.36789, 2.38652] (0.95 confidence) | — | — | +| exact_d4/det_direct_with_errbound | 6.77204 ns [6.76653, 6.77706] (0.95 confidence) | 6.81027 ns [6.80147, 6.8206] (0.95 confidence) | — | — | +| exact_d4/det_errbound | 6.75024 ns [6.74157, 6.75886] (0.95 confidence) | 6.79247 ns [6.77999, 6.80542] (0.95 confidence) | — | — | +| exact_d4/det_exact | 997.174 ns [994.009, 1000.41] (0.95 confidence) | 994.8 ns [991.392, 998.362] (0.95 confidence) | — | — | +| exact_d4/det_exact_f64_result | 952.917 ns [948.439, 957.382] (0.95 confidence) | 941.657 ns [938.485, 944.856] (0.95 confidence) | — | — | +| exact_d4/det_exact_rounded_f64 | 994.725 ns [990.92, 998.48] (0.95 confidence) | 954.803 ns [950.651, 959.021] (0.95 confidence) | — | — | +| exact_d4/det_sign_exact | 7.93276 ns [7.92856, 7.93724] (0.95 confidence) | 7.98889 ns [7.97367, 8.00617] (0.95 confidence) | — | — | +| exact_d4/solve_exact | 79448 ns [79250.3, 79659.6] (0.95 confidence) | 79419.2 ns [79293.5, 79547.5] (0.95 confidence) | — | — | +| exact_d4/solve_exact_f64_result | 79484.3 ns [79394.2, 79575.5] (0.95 confidence) | 79460.4 ns [79329.4, 79591.9] (0.95 confidence) | — | — | +| exact_d4/solve_exact_rounded_f64 | 80357.2 ns [80175.3, 80565.9] (0.95 confidence) | 80490.9 ns [80334.1, 80650.4] (0.95 confidence) | — | — | +| exact_d5/det | 27.7094 ns [27.6543, 27.7667] (0.95 confidence) | 27.9543 ns [27.8822, 28.0263] (0.95 confidence) | — | — | +| exact_d5/det_exact | 3444.94 ns [3439.22, 3450.7] (0.95 confidence) | 3493.37 ns [3487.82, 3498.91] (0.95 confidence) | — | — | +| exact_d5/det_exact_f64_result | 3398.76 ns [3391.83, 3405.8] (0.95 confidence) | 3435.43 ns [3428.97, 3442.55] (0.95 confidence) | — | — | +| exact_d5/det_exact_rounded_f64 | 3376.17 ns [3371.34, 3381] (0.95 confidence) | 3463.3 ns [3457.91, 3468.72] (0.95 confidence) | — | — | +| exact_d5/det_sign_exact | 3364.89 ns [3359.61, 3370.23] (0.95 confidence) | 3443.45 ns [3436.91, 3450.32] (0.95 confidence) | — | — | +| exact_d5/solve_exact | 156623 ns [156400, 156852] (0.95 confidence) | 157629 ns [157389, 157872] (0.95 confidence) | — | — | +| exact_d5/solve_exact_f64_result | 156857 ns [156635, 157081] (0.95 confidence) | 158041 ns [157742, 158345] (0.95 confidence) | — | — | +| exact_d5/solve_exact_rounded_f64 | 157493 ns [157276, 157717] (0.95 confidence) | 159404 ns [158863, 160068] (0.95 confidence) | — | — | +| exact_hilbert_4x4/det_exact | 1064.71 ns [1057.77, 1071.42] (0.95 confidence) | 1024.85 ns [1019.28, 1030.83] (0.95 confidence) | — | — | +| exact_hilbert_4x4/det_sign_exact | 8.07959 ns [8.06018, 8.09947] (0.95 confidence) | 7.91835 ns [7.91319, 7.92302] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact | 59655.4 ns [59580.3, 59728.7] (0.95 confidence) | 59527.9 ns [59410.5, 59646] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact_f64_result | 59918.6 ns [59834.9, 60005.5] (0.95 confidence) | 59465.3 ns [59360.6, 59568.6] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact_rounded_f64 | 60493.4 ns [60401.8, 60583.5] (0.95 confidence) | 60077.2 ns [59962, 60190.8] (0.95 confidence) | — | — | +| exact_hilbert_5x5/det_exact | 3596 ns [3590.09, 3601.87] (0.95 confidence) | 3705.67 ns [3699.39, 3712.02] (0.95 confidence) | — | — | +| exact_hilbert_5x5/det_sign_exact | 3583.33 ns [3571.22, 3595.49] (0.95 confidence) | 3676.59 ns [3665.63, 3688.39] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact | 123691 ns [123407, 124000] (0.95 confidence) | 122501 ns [122253, 122748] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact_f64_result | 122495 ns [122283, 122711] (0.95 confidence) | 122956 ns [122437, 123748] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact_rounded_f64 | 123567 ns [123372, 123762] (0.95 confidence) | 131935 ns [130386, 133861] (0.95 confidence) | — | — | +| exact_large_entries_3x3/det_exact | 320.927 ns [320.384, 321.487] (0.95 confidence) | 322.039 ns [321.459, 322.66] (0.95 confidence) | — | — | +| exact_large_entries_3x3/det_sign_exact | 313.249 ns [312.481, 314.043] (0.95 confidence) | 312.551 ns [312.197, 312.919] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact | 92432.9 ns [92308.6, 92560.9] (0.95 confidence) | 93469.4 ns [93382, 93557.2] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact_f64_result | 92313.6 ns [92182.9, 92444.5] (0.95 confidence) | 94078.7 ns [93922.8, 94245.2] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact_rounded_f64 | 93037.8 ns [92919, 93158.3] (0.95 confidence) | 95379.1 ns [95112.2, 95743.5] (0.95 confidence) | — | — | +| exact_near_singular_3x3/det_exact | 330.658 ns [330.155, 331.218] (0.95 confidence) | 331.575 ns [331.123, 332.053] (0.95 confidence) | — | — | +| exact_near_singular_3x3/det_sign_exact | 382.485 ns [381.592, 383.421] (0.95 confidence) | 383.104 ns [381.834, 384.285] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact | 2639.39 ns [2635.26, 2643.52] (0.95 confidence) | 2658.68 ns [2653.54, 2663.92] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact_f64_result | 2674.76 ns [2667.73, 2682.9] (0.95 confidence) | 2655.98 ns [2649.46, 2662.29] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact_rounded_f64 | 2662.97 ns [2658.73, 2667.28] (0.95 confidence) | 2672.55 ns [2668.49, 2677.22] (0.95 confidence) | — | — | +| exact_random_corpus_d2/det_exact | 3075.83 ns [3073.67, 3078.22] (0.95 confidence) | 3117.36 ns [3113.97, 3121.09] (0.95 confidence) | — | — | +| exact_random_corpus_d2/det_sign_exact | 150.183 ns [149.231, 151.209] (0.95 confidence) | 145.468 ns [145.085, 145.856] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact | 73943.1 ns [73801.6, 74084.5] (0.95 confidence) | 74677.1 ns [74538.4, 74813.9] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact_f64_result | 74789.7 ns [74640.9, 74950] (0.95 confidence) | 75858.3 ns [75719.8, 76004.6] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact_rounded_f64 | 75116.3 ns [74965.5, 75269.8] (0.95 confidence) | 76457.9 ns [76242.4, 76681.3] (0.95 confidence) | — | — | +| exact_random_corpus_d3/det_exact | 8953.7 ns [8829.82, 9114.2] (0.95 confidence) | 8965.63 ns [8933.22, 8999.98] (0.95 confidence) | — | — | +| exact_random_corpus_d3/det_sign_exact | 225.109 ns [224.834, 225.397] (0.95 confidence) | 225.832 ns [225.61, 226.053] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact | 236413 ns [235835, 237009] (0.95 confidence) | 232370 ns [232162, 232582] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact_f64_result | 233709 ns [233360, 234053] (0.95 confidence) | 233079 ns [232683, 233453] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact_rounded_f64 | 232855 ns [232546, 233185] (0.95 confidence) | 234107 ns [233724, 234489] (0.95 confidence) | — | — | +| exact_random_corpus_d4/det_exact | 21561.5 ns [21442.9, 21690.8] (0.95 confidence) | 21894.3 ns [21805.9, 21989.7] (0.95 confidence) | — | — | +| exact_random_corpus_d4/det_sign_exact | 443.25 ns [442.946, 443.556] (0.95 confidence) | 445.317 ns [444.541, 446.14] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact | 514994 ns [514483, 515517] (0.95 confidence) | 524619 ns [523548, 525744] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact_f64_result | 515398 ns [514737, 516102] (0.95 confidence) | 522851 ns [522158, 523528] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact_rounded_f64 | 516704 ns [516028, 517373] (0.95 confidence) | 525305 ns [524419, 526135] (0.95 confidence) | — | — | +| exact_random_corpus_d5/det_exact | 55370.6 ns [55120.8, 55649.7] (0.95 confidence) | 56219.7 ns [55937, 56522.6] (0.95 confidence) | — | — | +| exact_random_corpus_d5/det_sign_exact | 54984.3 ns [54776, 55197.6] (0.95 confidence) | 55193.7 ns [54994.6, 55404.9] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact | 1.01308e+06 ns [1.01078e+06, 1.01545e+06] (0.95 confidence) | 1.02002e+06 ns [1.01876e+06, 1.02122e+06] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact_f64_result | 1.01018e+06 ns [1.00909e+06, 1.01127e+06] (0.95 confidence) | 1.02136e+06 ns [1.01858e+06, 1.02434e+06] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact_rounded_f64 | 1.01063e+06 ns [1.00927e+06, 1.01192e+06] (0.95 confidence) | 1.01802e+06 ns [1.01571e+06, 1.0201e+06] (0.95 confidence) | — | — | +| rational_input_d2/det_big_rational_gaussian | 1101.74 ns [1100.24, 1103.35] (0.95 confidence) | 1106.92 ns [1104.44, 1110.22] (0.95 confidence) | — | — | +| rational_input_d2/det_row_cleared_bareiss | 178.104 ns [177.862, 178.353] (0.95 confidence) | 180.318 ns [179.918, 180.746] (0.95 confidence) | — | — | +| rational_input_d2/det_sign_row_cleared_bareiss | 77.0368 ns [76.9432, 77.1334] (0.95 confidence) | 77.9081 ns [77.743, 78.0791] (0.95 confidence) | — | — | +| rational_input_d2/solve_big_rational_gaussian | 2105.43 ns [2101.63, 2109.5] (0.95 confidence) | 2116.51 ns [2113.51, 2119.55] (0.95 confidence) | — | — | +| rational_input_d2/solve_row_cleared_bareiss | 926.427 ns [925.508, 927.351] (0.95 confidence) | 931.53 ns [930.581, 932.578] (0.95 confidence) | — | — | +| rational_input_d3/det_big_rational_gaussian | 4614.22 ns [4602.18, 4626.62] (0.95 confidence) | 4628.07 ns [4615.68, 4641.06] (0.95 confidence) | — | — | +| rational_input_d3/det_row_cleared_bareiss | 562.68 ns [561.488, 564.029] (0.95 confidence) | 568.154 ns [567.323, 569.022] (0.95 confidence) | — | — | +| rational_input_d3/det_sign_row_cleared_bareiss | 362.361 ns [361.303, 363.502] (0.95 confidence) | 356.702 ns [355.781, 357.705] (0.95 confidence) | — | — | +| rational_input_d3/solve_big_rational_gaussian | 7974.74 ns [7953.05, 7996.88] (0.95 confidence) | 8054.63 ns [8025.89, 8084.71] (0.95 confidence) | — | — | +| rational_input_d3/solve_row_cleared_bareiss | 2402.19 ns [2397.85, 2406.79] (0.95 confidence) | 2425.42 ns [2414.75, 2439.47] (0.95 confidence) | — | — | +| rational_input_d4/det_big_rational_gaussian | 13576.4 ns [13527.7, 13624] (0.95 confidence) | 13416.5 ns [13370.5, 13462.4] (0.95 confidence) | — | — | +| rational_input_d4/det_row_cleared_bareiss | 1140.83 ns [1138.74, 1142.92] (0.95 confidence) | 1146.18 ns [1144.82, 1147.56] (0.95 confidence) | — | — | +| rational_input_d4/det_sign_row_cleared_bareiss | 761.432 ns [759.768, 763.137] (0.95 confidence) | 757.253 ns [756.353, 758.199] (0.95 confidence) | — | — | +| rational_input_d4/solve_big_rational_gaussian | 23725.2 ns [23664.2, 23789.3] (0.95 confidence) | 23719.6 ns [23657.8, 23780.9] (0.95 confidence) | — | — | +| rational_input_d4/solve_row_cleared_bareiss | 5500.13 ns [5405.68, 5602.14] (0.95 confidence) | 5911.87 ns [5768.75, 6065.51] (0.95 confidence) | — | — | +| rational_input_d5/det_big_rational_gaussian | 23205.6 ns [23111.8, 23314.3] (0.95 confidence) | 23137.7 ns [23099.9, 23177] (0.95 confidence) | — | — | +| rational_input_d5/det_row_cleared_bareiss | 2055.53 ns [2051.42, 2059.61] (0.95 confidence) | 2077.81 ns [2075.3, 2080.37] (0.95 confidence) | — | — | +| rational_input_d5/det_sign_row_cleared_bareiss | 1540.19 ns [1537.47, 1542.93] (0.95 confidence) | 1572.43 ns [1570.28, 1574.59] (0.95 confidence) | — | — | +| rational_input_d5/solve_big_rational_gaussian | 39427.5 ns [39267.9, 39593.4] (0.95 confidence) | 39299.3 ns [39219.9, 39378.8] (0.95 confidence) | — | — | +| rational_input_d5/solve_row_cleared_bareiss | 9350.24 ns [9331.51, 9369.2] (0.95 confidence) | 9464.07 ns [9448.98, 9479.42] (0.95 confidence) | — | — | +| rational_input_d6/det_big_rational_gaussian | 55982.3 ns [55847.8, 56113.5] (0.95 confidence) | 56994.4 ns [56875, 57112.8] (0.95 confidence) | — | — | +| rational_input_d6/det_row_cleared_bareiss | 3601.81 ns [3595.16, 3608.46] (0.95 confidence) | 3640.98 ns [3631.9, 3652.73] (0.95 confidence) | — | — | +| rational_input_d6/det_sign_row_cleared_bareiss | 2947.81 ns [2942.41, 2953.28] (0.95 confidence) | 2983.67 ns [2978.91, 2988.4] (0.95 confidence) | — | — | +| rational_input_d6/solve_big_rational_gaussian | 89277.2 ns [89057.2, 89501.4] (0.95 confidence) | 90181.9 ns [89971.9, 90397.4] (0.95 confidence) | — | — | +| rational_input_d6/solve_row_cleared_bareiss | 17424.9 ns [17367.6, 17488.8] (0.95 confidence) | 17803.2 ns [17772.1, 17834.1] (0.95 confidence) | — | — | +| rational_input_d7/det_big_rational_gaussian | 108611 ns [108354, 108873] (0.95 confidence) | 110246 ns [109941, 110600] (0.95 confidence) | — | — | +| rational_input_d7/det_row_cleared_bareiss | 5850.32 ns [5839.08, 5863.38] (0.95 confidence) | 5889.54 ns [5872.79, 5907.38] (0.95 confidence) | — | — | +| rational_input_d7/det_sign_row_cleared_bareiss | 5003.98 ns [4992.98, 5015.6] (0.95 confidence) | 5000.2 ns [4991.23, 5009.15] (0.95 confidence) | — | — | +| rational_input_d7/solve_big_rational_gaussian | 159309 ns [158679, 160020] (0.95 confidence) | 162486 ns [162175, 162790] (0.95 confidence) | — | — | +| rational_input_d7/solve_row_cleared_bareiss | 28193.8 ns [28128.1, 28260.2] (0.95 confidence) | 28918.5 ns [28872.2, 28964] (0.95 confidence) | — | — | +| rational_input_d8/det_big_rational_gaussian | 187569 ns [187131, 188019] (0.95 confidence) | 190172 ns [189753, 190586] (0.95 confidence) | — | — | +| rational_input_d8/det_row_cleared_bareiss | 9020.66 ns [8897.13, 9189.34] (0.95 confidence) | 8883.24 ns [8871.22, 8894.84] (0.95 confidence) | — | — | +| rational_input_d8/det_sign_row_cleared_bareiss | 7985.48 ns [7971.39, 7999.63] (0.95 confidence) | 7942.5 ns [7923.98, 7962.36] (0.95 confidence) | — | — | +| rational_input_d8/solve_big_rational_gaussian | 262705 ns [262251, 263168] (0.95 confidence) | 268790 ns [268225, 269354] (0.95 confidence) | — | — | +| rational_input_d8/solve_row_cleared_bareiss | 40881 ns [40819.1, 40944.1] (0.95 confidence) | 41790.7 ns [41637, 42001.2] (0.95 confidence) | — | — | -- CPU: `Apple M4 Max (arm64)` -- OS: `Darwin 25.6.0 arm64` -- rustc: `rustc 1.98.1 (48a229cea 2026-09-01)` -- Current commit: `d36a9e99ec223c4cbbf8a9191818f186159c27f7` -- Current Git clean: `false` -- Current source-state SHA-256: `b8fcf706fa6e287ca6682a1ecef5a69576413b9c88040184a9b1ecb8f6e92336` -- Baseline commit: `78ba1c25beaed7321e175113e0876aac6d763a59` -- Baseline Git clean: `false` -- Baseline source-state SHA-256: `7d72086128b12e2a89d5ca78f0e8cc0cb393a44f1062d027a069722ff9dae007` -- Cargo.lock SHA-256: `37c6f3339dc4eedcc5587e44133a7d0299fef2bd9da52fc0464e2ceeb0138edb` -- Benchmark harness SHA-256: `27acd15e854e46899ff1c1f8e1b399ff240b0b9732e56a36cf8edb39c4a58db3` +## Median (ns) -**Publication and validation environment**: +| Case | la-stack baseline | la-stack current | nalgebra | faer | +| --- | --- | --- | --- | --- | +| d16/la_stack_det | 379.272 ns [378.451, 380.366] (0.95 confidence) | 401.093 ns [398.153, 404.658] (0.95 confidence) | — | — | +| d16/la_stack_det_from_ldlt | 2.89094 ns [2.88425, 2.90038] (0.95 confidence) | 2.96543 ns [2.96339, 2.96871] (0.95 confidence) | 1.70051 ns [1.69525, 1.70445] (0.95 confidence) | 4.3533 ns [4.33624, 4.36853] (0.95 confidence) | +| d16/la_stack_det_from_lu | 3.28159 ns [3.27565, 3.28649] (0.95 confidence) | 3.35471 ns [3.35195, 3.35876] (0.95 confidence) | 1.77532 ns [1.76963, 1.77906] (0.95 confidence) | 4.82318 ns [4.76454, 4.8634] (0.95 confidence) | +| d16/la_stack_det_via_lu | 360.619 ns [359.716, 361.689] (0.95 confidence) | 377.718 ns [374.568, 381.126] (0.95 confidence) | 451.034 ns [449.913, 451.762] (0.95 confidence) | 666.409 ns [663.273, 673.084] (0.95 confidence) | +| d16/la_stack_dot | 2.33315 ns [2.33218, 2.33422] (0.95 confidence) | 2.36585 ns [2.36324, 2.36963] (0.95 confidence) | 1.84921 ns [1.84831, 1.84993] (0.95 confidence) | 3.31767 ns [3.31433, 3.32792] (0.95 confidence) | +| d16/la_stack_inf_norm | 32.4514 ns [32.3366, 32.4761] (0.95 confidence) | 33.5202 ns [33.4712, 33.5765] (0.95 confidence) | 32.5791 ns [32.5201, 32.605] (0.95 confidence) | 32.2307 ns [32.2168, 32.2844] (0.95 confidence) | +| d16/la_stack_ldlt | 338.907 ns [338.69, 339.485] (0.95 confidence) | 345.474 ns [344.655, 346.116] (0.95 confidence) | 422.509 ns [421.62, 422.946] (0.95 confidence) | 418.131 ns [417.556, 418.894] (0.95 confidence) | +| d16/la_stack_ldlt_solve | 382.109 ns [381.947, 382.505] (0.95 confidence) | 390.634 ns [390.107, 391.056] (0.95 confidence) | 628.019 ns [626.887, 629.04] (0.95 confidence) | 612.089 ns [610.79, 613.119] (0.95 confidence) | +| d16/la_stack_lu | 350.086 ns [348.492, 351.41] (0.95 confidence) | 368.462 ns [364.863, 371.298] (0.95 confidence) | 464.597 ns [463.776, 465.843] (0.95 confidence) | 633.175 ns [631.494, 640.576] (0.95 confidence) | +| d16/la_stack_lu_solve | 627.457 ns [613.21, 635.397] (0.95 confidence) | 750.027 ns [649.969, 761.453] (0.95 confidence) | 589.011 ns [586.474, 592.341] (0.95 confidence) | 938.943 ns [932.02, 944.127] (0.95 confidence) | +| d16/la_stack_norm2_sq | 2.12017 ns [2.11718, 2.1233] (0.95 confidence) | 2.14796 ns [2.14589, 2.15195] (0.95 confidence) | 1.73558 ns [1.73353, 1.7364] (0.95 confidence) | 4.09384 ns [4.09297, 4.09492] (0.95 confidence) | +| d16/la_stack_solve_from_ldlt | 27.7905 ns [27.7687, 27.8075] (0.95 confidence) | 29.016 ns [28.9085, 29.1021] (0.95 confidence) | 119.414 ns [118.977, 119.984] (0.95 confidence) | 182.626 ns [182.299, 182.82] (0.95 confidence) | +| d16/la_stack_solve_from_lu | 191.074 ns [190.623, 191.465] (0.95 confidence) | 209.188 ns [208.682, 209.517] (0.95 confidence) | 93.6387 ns [93.394, 93.7612] (0.95 confidence) | 257.154 ns [256.905, 257.7] (0.95 confidence) | +| d2/la_stack_det | 0.572876 ns [0.572777, 0.57299] (0.95 confidence) | 0.573987 ns [0.573647, 0.574175] (0.95 confidence) | — | — | +| d2/la_stack_det_from_ldlt | 0.496238 ns [0.496192, 0.496347] (0.95 confidence) | 0.496604 ns [0.496449, 0.496839] (0.95 confidence) | 0.438546 ns [0.438, 0.4387] (0.95 confidence) | 0.570374 ns [0.569774, 0.57083] (0.95 confidence) | +| d2/la_stack_det_from_lu | 0.520624 ns [0.520547, 0.520724] (0.95 confidence) | 0.520987 ns [0.520651, 0.52145] (0.95 confidence) | 0.45059 ns [0.450332, 0.451806] (0.95 confidence) | 0.743834 ns [0.743654, 0.744151] (0.95 confidence) | +| d2/la_stack_det_via_lu | 1.77086 ns [1.76992, 1.77177] (0.95 confidence) | 1.7435 ns [1.7374, 1.75313] (0.95 confidence) | 0.822672 ns [0.821112, 0.823663] (0.95 confidence) | 110.718 ns [110.261, 111.408] (0.95 confidence) | +| d2/la_stack_dot | 0.612921 ns [0.612366, 0.613432] (0.95 confidence) | 0.610449 ns [0.606927, 0.613366] (0.95 confidence) | 0.598043 ns [0.593009, 0.599721] (0.95 confidence) | 2.47931 ns [2.47867, 2.47984] (0.95 confidence) | +| d2/la_stack_inf_norm | 0.703132 ns [0.702861, 0.703304] (0.95 confidence) | 0.703434 ns [0.703269, 0.703603] (0.95 confidence) | 0.559833 ns [0.559717, 0.559959] (0.95 confidence) | 0.695855 ns [0.695335, 0.696852] (0.95 confidence) | +| d2/la_stack_ldlt | 6.89114 ns [6.87985, 6.91103] (0.95 confidence) | 6.55722 ns [6.54552, 6.57972] (0.95 confidence) | 1.72375 ns [1.72274, 1.7245] (0.95 confidence) | 87.7743 ns [87.4516, 88.1834] (0.95 confidence) | +| d2/la_stack_ldlt_solve | 9.60901 ns [9.59092, 9.63616] (0.95 confidence) | 9.49351 ns [9.47354, 9.50791] (0.95 confidence) | 2.62395 ns [2.61761, 2.62944] (0.95 confidence) | 125.726 ns [125.433, 126.029] (0.95 confidence) | +| d2/la_stack_lu | 1.56569 ns [1.56284, 1.5679] (0.95 confidence) | 1.56693 ns [1.56549, 1.56814] (0.95 confidence) | 1.68189 ns [1.67891, 1.68622] (0.95 confidence) | 108.948 ns [107.575, 110.523] (0.95 confidence) | +| d2/la_stack_lu_solve | 2.01731 ns [2.01633, 2.01805] (0.95 confidence) | 2.10359 ns [2.08908, 2.11912] (0.95 confidence) | 4.53894 ns [4.53141, 4.54661] (0.95 confidence) | 154.45 ns [153.658, 155.846] (0.95 confidence) | +| d2/la_stack_norm2_sq | 0.395429 ns [0.395177, 0.395569] (0.95 confidence) | 0.395034 ns [0.394428, 0.395421] (0.95 confidence) | 0.389089 ns [0.388885, 0.389318] (0.95 confidence) | 4.1265 ns [4.12534, 4.12826] (0.95 confidence) | +| d2/la_stack_solve_from_ldlt | 1.23867 ns [1.2383, 1.23904] (0.95 confidence) | 1.23932 ns [1.23805, 1.24032] (0.95 confidence) | 1.24972 ns [1.24834, 1.25148] (0.95 confidence) | 39.463 ns [39.3332, 39.5216] (0.95 confidence) | +| d2/la_stack_solve_from_lu | 1.24468 ns [1.24094, 1.24904] (0.95 confidence) | 1.26331 ns [1.25802, 1.26633] (0.95 confidence) | 2.894 ns [2.89321, 2.89545] (0.95 confidence) | 49.3097 ns [49.1857, 49.4274] (0.95 confidence) | +| d3/la_stack_det | 1.33913 ns [1.33765, 1.34325] (0.95 confidence) | 1.33991 ns [1.33668, 1.34289] (0.95 confidence) | — | — | +| d3/la_stack_det_from_ldlt | 0.612948 ns [0.611813, 0.614127] (0.95 confidence) | 0.595467 ns [0.595158, 0.595737] (0.95 confidence) | 0.496208 ns [0.495686, 0.49675] (0.95 confidence) | 0.760555 ns [0.759415, 0.763128] (0.95 confidence) | +| d3/la_stack_det_from_lu | 0.709547 ns [0.708629, 0.710965] (0.95 confidence) | 0.693946 ns [0.693803, 0.694034] (0.95 confidence) | 0.483905 ns [0.48194, 0.485024] (0.95 confidence) | 1.01064 ns [1.00857, 1.01164] (0.95 confidence) | +| d3/la_stack_det_via_lu | 8.79971 ns [8.76753, 8.84205] (0.95 confidence) | 8.68592 ns [8.67467, 8.69586] (0.95 confidence) | 12.61 ns [12.603, 12.6328] (0.95 confidence) | 138.806 ns [138.328, 139.246] (0.95 confidence) | +| d3/la_stack_dot | 0.681535 ns [0.680378, 0.683296] (0.95 confidence) | 0.671023 ns [0.669925, 0.672805] (0.95 confidence) | 0.706024 ns [0.703341, 0.70755] (0.95 confidence) | 3.0367 ns [3.02574, 3.04921] (0.95 confidence) | +| d3/la_stack_inf_norm | 1.38741 ns [1.3859, 1.38884] (0.95 confidence) | 1.36927 ns [1.36835, 1.37046] (0.95 confidence) | 1.19754 ns [1.19605, 1.19858] (0.95 confidence) | 1.34749 ns [1.34389, 1.3515] (0.95 confidence) | +| d3/la_stack_ldlt | 13.4093 ns [13.3568, 13.4652] (0.95 confidence) | 13.0128 ns [12.9757, 13.0532] (0.95 confidence) | 3.95925 ns [3.95144, 3.97094] (0.95 confidence) | 99.0856 ns [98.9316, 99.2756] (0.95 confidence) | +| d3/la_stack_ldlt_solve | 9.80848 ns [9.78745, 9.84487] (0.95 confidence) | 9.74358 ns [9.71499, 9.76146] (0.95 confidence) | 5.75807 ns [5.73394, 5.76789] (0.95 confidence) | 147.084 ns [146.664, 147.499] (0.95 confidence) | +| d3/la_stack_lu | 8.68803 ns [8.62311, 8.7214] (0.95 confidence) | 8.38217 ns [8.36225, 8.39415] (0.95 confidence) | 12.7922 ns [12.7034, 12.8895] (0.95 confidence) | 139.091 ns [138.443, 139.316] (0.95 confidence) | +| d3/la_stack_lu_solve | 9.98135 ns [9.97281, 9.9906] (0.95 confidence) | 9.93879 ns [9.92881, 9.95117] (0.95 confidence) | 32.9342 ns [32.8554, 33.057] (0.95 confidence) | 191.85 ns [191.206, 192.814] (0.95 confidence) | +| d3/la_stack_norm2_sq | 0.507066 ns [0.505861, 0.508281] (0.95 confidence) | 0.498095 ns [0.496577, 0.499413] (0.95 confidence) | 0.452066 ns [0.451062, 0.453544] (0.95 confidence) | 4.26639 ns [4.25754, 4.28818] (0.95 confidence) | +| d3/la_stack_solve_from_ldlt | 1.82795 ns [1.82373, 1.83132] (0.95 confidence) | 1.78095 ns [1.78017, 1.78173] (0.95 confidence) | 3.00925 ns [2.99857, 3.02052] (0.95 confidence) | 41.4065 ns [41.2795, 41.5182] (0.95 confidence) | +| d3/la_stack_solve_from_lu | 2.13084 ns [2.12446, 2.13602] (0.95 confidence) | 2.05702 ns [2.05559, 2.05822] (0.95 confidence) | 4.69852 ns [4.68887, 4.70656] (0.95 confidence) | 53.7473 ns [53.5314, 53.9728] (0.95 confidence) | +| d32/la_stack_det | 2175.6 ns [2167.52, 2183.12] (0.95 confidence) | 2253.83 ns [2248.47, 2257.61] (0.95 confidence) | — | — | +| d32/la_stack_det_from_ldlt | 7.80178 ns [7.78797, 7.81116] (0.95 confidence) | 8.16296 ns [8.14651, 8.1759] (0.95 confidence) | 3.0888 ns [3.08514, 3.09175] (0.95 confidence) | 8.60059 ns [8.5721, 8.63071] (0.95 confidence) | +| d32/la_stack_det_from_lu | 9.09263 ns [9.08045, 9.11029] (0.95 confidence) | 9.55091 ns [9.52895, 9.59579] (0.95 confidence) | 3.07434 ns [3.06716, 3.07811] (0.95 confidence) | 8.78609 ns [8.73977, 8.82193] (0.95 confidence) | +| d32/la_stack_det_via_lu | 2042.01 ns [2039.57, 2044.43] (0.95 confidence) | 2097.15 ns [2093.25, 2104.1] (0.95 confidence) | 2269.4 ns [2260.57, 2275.1] (0.95 confidence) | 2391.84 ns [2384.89, 2394.43] (0.95 confidence) | +| d32/la_stack_dot | 4.02217 ns [4.0174, 4.02843] (0.95 confidence) | 4.09795 ns [4.09615, 4.10263] (0.95 confidence) | 4.00127 ns [3.9967, 4.0067] (0.95 confidence) | 4.87016 ns [4.86241, 4.87819] (0.95 confidence) | +| d32/la_stack_inf_norm | 127.933 ns [127.73, 128.284] (0.95 confidence) | 133.153 ns [133.06, 133.385] (0.95 confidence) | 160.906 ns [158.963, 162.054] (0.95 confidence) | 162.784 ns [162.45, 162.981] (0.95 confidence) | +| d32/la_stack_ldlt | 2384.2 ns [2382.57, 2386.09] (0.95 confidence) | 2431.22 ns [2428.58, 2433.78] (0.95 confidence) | 2092.05 ns [2082.88, 2102.77] (0.95 confidence) | 1399.49 ns [1390.69, 1408.7] (0.95 confidence) | +| d32/la_stack_ldlt_solve | 2707.43 ns [2704.76, 2712.19] (0.95 confidence) | 2768.09 ns [2762.52, 2774.48] (0.95 confidence) | 2810.35 ns [2784.92, 2816.19] (0.95 confidence) | 1861.98 ns [1859.82, 1865.27] (0.95 confidence) | +| d32/la_stack_lu | 2138.35 ns [2134.27, 2143.88] (0.95 confidence) | 2226.92 ns [2218.65, 2230.7] (0.95 confidence) | 2120.89 ns [2118.28, 2124.36] (0.95 confidence) | 2366.95 ns [2363.16, 2370.37] (0.95 confidence) | +| d32/la_stack_lu_solve | 2762.99 ns [2758.9, 2767.72] (0.95 confidence) | 2829.62 ns [2819.66, 2837.22] (0.95 confidence) | 2722.74 ns [2720.98, 2729.21] (0.95 confidence) | 3023.87 ns [3017.73, 3030.19] (0.95 confidence) | +| d32/la_stack_norm2_sq | 3.9658 ns [3.96092, 3.97436] (0.95 confidence) | 4.1013 ns [4.08692, 4.10916] (0.95 confidence) | 3.62609 ns [3.61571, 3.63556] (0.95 confidence) | 4.21289 ns [4.21225, 4.21392] (0.95 confidence) | +| d32/la_stack_solve_from_ldlt | 311.264 ns [310.487, 312.295] (0.95 confidence) | 320.496 ns [319.713, 321.007] (0.95 confidence) | 548.658 ns [546.83, 549.753] (0.95 confidence) | 469.109 ns [468.904, 469.465] (0.95 confidence) | +| d32/la_stack_solve_from_lu | 666.961 ns [665.864, 668.213] (0.95 confidence) | 735.74 ns [734.025, 737.377] (0.95 confidence) | 328.48 ns [328.138, 329.019] (0.95 confidence) | 639.316 ns [638.049, 640.345] (0.95 confidence) | +| d4/la_stack_det | 2.59079 ns [2.58535, 2.60559] (0.95 confidence) | 2.5437 ns [2.52985, 2.55742] (0.95 confidence) | — | — | +| d4/la_stack_det_from_ldlt | 0.787562 ns [0.786422, 0.791756] (0.95 confidence) | 0.77159 ns [0.770293, 0.772868] (0.95 confidence) | 0.499227 ns [0.498689, 0.4997] (0.95 confidence) | 1.00377 ns [1.00289, 1.00498] (0.95 confidence) | +| d4/la_stack_det_from_lu | 0.886058 ns [0.884854, 0.887513] (0.95 confidence) | 0.870765 ns [0.870079, 0.872809] (0.95 confidence) | 0.590961 ns [0.588626, 0.592034] (0.95 confidence) | 1.25584 ns [1.25455, 1.2569] (0.95 confidence) | +| d4/la_stack_det_via_lu | 14.5493 ns [14.5287, 14.5816] (0.95 confidence) | 14.3681 ns [14.3312, 14.3953] (0.95 confidence) | 31.2562 ns [31.1699, 31.3552] (0.95 confidence) | 164.743 ns [164.348, 165.425] (0.95 confidence) | +| d4/la_stack_dot | 0.691713 ns [0.688447, 0.693459] (0.95 confidence) | 0.68448 ns [0.681956, 0.688119] (0.95 confidence) | 0.666976 ns [0.665682, 0.668425] (0.95 confidence) | 2.73962 ns [2.7005, 2.74687] (0.95 confidence) | +| d4/la_stack_inf_norm | 2.39495 ns [2.39335, 2.39861] (0.95 confidence) | 2.37107 ns [2.36854, 2.374] (0.95 confidence) | 2.08273 ns [2.08038, 2.08506] (0.95 confidence) | 2.08911 ns [2.08339, 2.10665] (0.95 confidence) | +| d4/la_stack_ldlt | 18.2285 ns [18.2088, 18.2493] (0.95 confidence) | 17.9138 ns [17.8725, 17.9542] (0.95 confidence) | 7.92229 ns [7.9045, 7.95379] (0.95 confidence) | 124.238 ns [123.806, 124.89] (0.95 confidence) | +| d4/la_stack_ldlt_solve | 18.1373 ns [18.0834, 18.1765] (0.95 confidence) | 17.9777 ns [17.9146, 18.0244] (0.95 confidence) | 11.5452 ns [11.4995, 11.5868] (0.95 confidence) | 166.26 ns [165.641, 166.955] (0.95 confidence) | +| d4/la_stack_lu | 13.8975 ns [13.8774, 13.9233] (0.95 confidence) | 13.7862 ns [13.7637, 13.8035] (0.95 confidence) | 30.0526 ns [30.0148, 30.1072] (0.95 confidence) | 158.857 ns [157.98, 159.484] (0.95 confidence) | +| d4/la_stack_lu_solve | 22.1488 ns [22.1185, 22.1688] (0.95 confidence) | 21.7341 ns [21.7035, 21.776] (0.95 confidence) | 55.0106 ns [54.9217, 55.0615] (0.95 confidence) | 221.887 ns [221.678, 222.673] (0.95 confidence) | +| d4/la_stack_norm2_sq | 0.461115 ns [0.460671, 0.462203] (0.95 confidence) | 0.477166 ns [0.474712, 0.481989] (0.95 confidence) | 0.54413 ns [0.543035, 0.545759] (0.95 confidence) | 4.21735 ns [4.20825, 4.22393] (0.95 confidence) | +| d4/la_stack_solve_from_ldlt | 2.54384 ns [2.53093, 2.55676] (0.95 confidence) | 2.49308 ns [2.48506, 2.50136] (0.95 confidence) | 5.82202 ns [5.81192, 5.83516] (0.95 confidence) | 41.7311 ns [41.6519, 41.8151] (0.95 confidence) | +| d4/la_stack_solve_from_lu | 4.0318 ns [4.02105, 4.04677] (0.95 confidence) | 3.9445 ns [3.93473, 3.94977] (0.95 confidence) | 5.83637 ns [5.82832, 5.84141] (0.95 confidence) | 55.3476 ns [55.2688, 55.4685] (0.95 confidence) | +| d5/la_stack_det | 40.9715 ns [40.8612, 41.0168] (0.95 confidence) | 41.1138 ns [41.0703, 41.1471] (0.95 confidence) | — | — | +| d5/la_stack_det_from_ldlt | 0.877386 ns [0.877116, 0.877632] (0.95 confidence) | 0.878577 ns [0.877941, 0.879622] (0.95 confidence) | 0.583159 ns [0.582517, 0.58354] (0.95 confidence) | 1.23782 ns [1.23634, 1.23875] (0.95 confidence) | +| d5/la_stack_det_from_lu | 1.03418 ns [1.03346, 1.03456] (0.95 confidence) | 1.033 ns [1.03162, 1.03452] (0.95 confidence) | 0.66136 ns [0.657915, 0.668257] (0.95 confidence) | 1.48662 ns [1.48628, 1.48713] (0.95 confidence) | +| d5/la_stack_det_via_lu | 33.4972 ns [33.4588, 33.5131] (0.95 confidence) | 33.6162 ns [33.5415, 33.6868] (0.95 confidence) | 51.4294 ns [51.3175, 51.524] (0.95 confidence) | 191.177 ns [190.659, 191.624] (0.95 confidence) | +| d5/la_stack_dot | 0.843249 ns [0.8426, 0.843671] (0.95 confidence) | 0.842959 ns [0.839884, 0.843939] (0.95 confidence) | 0.764448 ns [0.763663, 0.76533] (0.95 confidence) | 2.63811 ns [2.63731, 2.64365] (0.95 confidence) | +| d5/la_stack_inf_norm | 3.46955 ns [3.46784, 3.47043] (0.95 confidence) | 3.46893 ns [3.46542, 3.47116] (0.95 confidence) | 3.2796 ns [3.27431, 3.28241] (0.95 confidence) | 3.16084 ns [3.15981, 3.16145] (0.95 confidence) | +| d5/la_stack_ldlt | 25.0049 ns [24.944, 25.0526] (0.95 confidence) | 25.1376 ns [25.11, 25.154] (0.95 confidence) | 25.2354 ns [24.3772, 26.3912] (0.95 confidence) | 137.376 ns [136.651, 137.838] (0.95 confidence) | +| d5/la_stack_ldlt_solve | 30.4296 ns [30.3614, 30.4628] (0.95 confidence) | 30.5698 ns [30.4626, 30.6452] (0.95 confidence) | 40.2172 ns [40.2036, 40.2558] (0.95 confidence) | 199.907 ns [199.061, 200.506] (0.95 confidence) | +| d5/la_stack_lu | 33.5064 ns [33.317, 33.5916] (0.95 confidence) | 33.2397 ns [33.1367, 33.6301] (0.95 confidence) | 50.0776 ns [49.8946, 50.5527] (0.95 confidence) | 180.626 ns [180.122, 181.097] (0.95 confidence) | +| d5/la_stack_lu_solve | 48.7153 ns [48.6718, 48.7504] (0.95 confidence) | 49.1031 ns [49.0318, 49.1659] (0.95 confidence) | 74.629 ns [74.3476, 74.9906] (0.95 confidence) | 272.864 ns [272.009, 273.512] (0.95 confidence) | +| d5/la_stack_norm2_sq | 0.525661 ns [0.525259, 0.526131] (0.95 confidence) | 0.527524 ns [0.525701, 0.528065] (0.95 confidence) | 0.503771 ns [0.503572, 0.503944] (0.95 confidence) | 4.13532 ns [4.13289, 4.13641] (0.95 confidence) | +| d5/la_stack_solve_from_ldlt | 3.94677 ns [3.93389, 3.96169] (0.95 confidence) | 3.91732 ns [3.91421, 3.92183] (0.95 confidence) | 9.03899 ns [9.00572, 9.05456] (0.95 confidence) | 60.1795 ns [60.1129, 60.3863] (0.95 confidence) | +| d5/la_stack_solve_from_lu | 6.08472 ns [6.06153, 6.11231] (0.95 confidence) | 6.12656 ns [6.11897, 6.14238] (0.95 confidence) | 8.9966 ns [8.97481, 9.01403] (0.95 confidence) | 84.2009 ns [84.0597, 84.3299] (0.95 confidence) | +| d64/la_stack_det | 15419.7 ns [15317.1, 15517.3] (0.95 confidence) | 15607.4 ns [15525.1, 15681.8] (0.95 confidence) | — | — | +| d64/la_stack_det_from_ldlt | 22.9949 ns [22.8735, 23.0413] (0.95 confidence) | 24.3353 ns [24.2589, 24.4077] (0.95 confidence) | 8.43186 ns [8.40615, 8.45378] (0.95 confidence) | 20.8183 ns [20.7795, 20.8946] (0.95 confidence) | +| d64/la_stack_det_from_lu | 23.231 ns [23.1874, 23.2604] (0.95 confidence) | 24.3422 ns [24.295, 24.3796] (0.95 confidence) | 8.64464 ns [8.63183, 8.65888] (0.95 confidence) | 21.2372 ns [21.2039, 21.2809] (0.95 confidence) | +| d64/la_stack_det_via_lu | 14596.6 ns [14537.5, 14694.7] (0.95 confidence) | 14869.9 ns [14823.1, 14944.5] (0.95 confidence) | 13020.4 ns [13001.5, 13032.7] (0.95 confidence) | 11036.6 ns [11027.5, 11059] (0.95 confidence) | +| d64/la_stack_dot | 10.8944 ns [10.8602, 10.9125] (0.95 confidence) | 11.5095 ns [11.4922, 11.5295] (0.95 confidence) | 7.99232 ns [7.96211, 8.00956] (0.95 confidence) | 8.17384 ns [8.10427, 8.23606] (0.95 confidence) | +| d64/la_stack_inf_norm | 627.793 ns [626.723, 629.574] (0.95 confidence) | 674.478 ns [672.691, 676.417] (0.95 confidence) | 1251.53 ns [1248.47, 1255.67] (0.95 confidence) | 1568.14 ns [1562.6, 1570.88] (0.95 confidence) | +| d64/la_stack_ldlt | 16774.7 ns [16761.3, 16786.9] (0.95 confidence) | 17153.1 ns [17130, 17175.4] (0.95 confidence) | 10747.5 ns [10740.8, 10757.6] (0.95 confidence) | 7001.9 ns [6997.07, 7009.98] (0.95 confidence) | +| d64/la_stack_ldlt_solve | 19075.4 ns [19037.7, 19105.9] (0.95 confidence) | 19478.7 ns [19456.8, 19523] (0.95 confidence) | 12299.4 ns [12291.5, 12313.2] (0.95 confidence) | 8273.44 ns [8262.32, 8283.77] (0.95 confidence) | +| d64/la_stack_lu | 14682.2 ns [14663.6, 14702.9] (0.95 confidence) | 14924.1 ns [14891.1, 14997.4] (0.95 confidence) | 13604.1 ns [13575, 13616.4] (0.95 confidence) | 11098.4 ns [11037.4, 11167.1] (0.95 confidence) | +| d64/la_stack_lu_solve | 18014.7 ns [17849.1, 18166.4] (0.95 confidence) | 18280.4 ns [18138, 18489.9] (0.95 confidence) | 13835.1 ns [13822.9, 13852.2] (0.95 confidence) | 12678.8 ns [12660.2, 12699.3] (0.95 confidence) | +| d64/la_stack_norm2_sq | 10.8165 ns [10.8016, 10.8318] (0.95 confidence) | 11.3915 ns [11.3645, 11.4378] (0.95 confidence) | 8.52183 ns [8.50728, 8.5323] (0.95 confidence) | 6.21011 ns [6.20027, 6.26274] (0.95 confidence) | +| d64/la_stack_solve_from_ldlt | 1074.14 ns [1072.88, 1076.54] (0.95 confidence) | 1103.32 ns [1099.25, 1105.99] (0.95 confidence) | 1289.2 ns [1286.32, 1290.23] (0.95 confidence) | 1252.76 ns [1249.61, 1255.61] (0.95 confidence) | +| d64/la_stack_solve_from_lu | 2530.99 ns [2524.36, 2541.55] (0.95 confidence) | 2719.71 ns [2714.93, 2728.93] (0.95 confidence) | 791.158 ns [790.924, 791.33] (0.95 confidence) | 1685.24 ns [1683.32, 1686.69] (0.95 confidence) | +| d8/la_stack_det | 95.5337 ns [95.422, 95.6859] (0.95 confidence) | 96.0299 ns [95.7172, 96.1538] (0.95 confidence) | — | — | +| d8/la_stack_det_from_ldlt | 1.30998 ns [1.30856, 1.31208] (0.95 confidence) | 1.30758 ns [1.30593, 1.30941] (0.95 confidence) | 0.913542 ns [0.896885, 0.918783] (0.95 confidence) | 1.97881 ns [1.97447, 1.98117] (0.95 confidence) | +| d8/la_stack_det_from_ldlt_balanced_range | 8.73914 ns [8.68084, 8.82264] (0.95 confidence) | 9.02925 ns [8.99874, 9.0541] (0.95 confidence) | — | — | +| d8/la_stack_det_from_lu | 1.46489 ns [1.46432, 1.46598] (0.95 confidence) | 1.46681 ns [1.46544, 1.46859] (0.95 confidence) | 0.997928 ns [0.990364, 0.998579] (0.95 confidence) | 2.23371 ns [2.23129, 2.23987] (0.95 confidence) | +| d8/la_stack_det_from_lu_balanced_range | 9.40991 ns [9.36982, 9.41723] (0.95 confidence) | 9.36441 ns [9.19918, 9.46503] (0.95 confidence) | — | — | +| d8/la_stack_det_via_lu | 90.0003 ns [89.4881, 90.7238] (0.95 confidence) | 91.1377 ns [90.9825, 91.3288] (0.95 confidence) | 140.38 ns [140.256, 140.682] (0.95 confidence) | 268.382 ns [267.16, 270.555] (0.95 confidence) | +| d8/la_stack_dot | 0.920693 ns [0.919859, 0.921825] (0.95 confidence) | 0.938248 ns [0.935731, 0.940223] (0.95 confidence) | 1.33079 ns [1.32954, 1.3322] (0.95 confidence) | 2.54972 ns [2.54228, 2.57066] (0.95 confidence) | +| d8/la_stack_inf_norm | 8.43703 ns [8.42209, 8.45037] (0.95 confidence) | 8.46336 ns [8.44575, 8.47159] (0.95 confidence) | 8.05139 ns [8.03854, 8.06795] (0.95 confidence) | 8.10969 ns [8.10081, 8.11662] (0.95 confidence) | +| d8/la_stack_ldlt | 90.4337 ns [90.2549, 90.6032] (0.95 confidence) | 90.4841 ns [90.4109, 90.6392] (0.95 confidence) | 101.46 ns [100.991, 102.101] (0.95 confidence) | 195.344 ns [195.102, 195.453] (0.95 confidence) | +| d8/la_stack_ldlt_ill_conditioned | 90.2188 ns [90.1175, 90.3155] (0.95 confidence) | 90.2188 ns [90.1527, 90.4098] (0.95 confidence) | — | — | +| d8/la_stack_ldlt_solve | 103.441 ns [103.298, 103.708] (0.95 confidence) | 105.555 ns [105.215, 105.799] (0.95 confidence) | 147.45 ns [141.922, 149.357] (0.95 confidence) | 266.801 ns [266.3, 267.128] (0.95 confidence) | +| d8/la_stack_lu | 90.0189 ns [89.8607, 90.3413] (0.95 confidence) | 90.1784 ns [89.9849, 90.362] (0.95 confidence) | 133.545 ns [132.756, 133.916] (0.95 confidence) | 257.893 ns [257.102, 259.004] (0.95 confidence) | +| d8/la_stack_lu_ill_conditioned | 89.6288 ns [88.9996, 90.2728] (0.95 confidence) | 89.6705 ns [89.4697, 89.882] (0.95 confidence) | — | — | +| d8/la_stack_lu_pivoting | 94.4911 ns [94.3366, 94.8131] (0.95 confidence) | 95.2265 ns [95.0854, 95.5085] (0.95 confidence) | — | — | +| d8/la_stack_lu_solve | 130.471 ns [130.304, 130.733] (0.95 confidence) | 133.665 ns [133.426, 133.861] (0.95 confidence) | 166.317 ns [166.02, 166.604] (0.95 confidence) | 374.912 ns [372.746, 376.096] (0.95 confidence) | +| d8/la_stack_norm2_sq | 0.668475 ns [0.667505, 0.669308] (0.95 confidence) | 0.66656 ns [0.665109, 0.668505] (0.95 confidence) | 0.932707 ns [0.931802, 0.933498] (0.95 confidence) | 4.14741 ns [4.14266, 4.15215] (0.95 confidence) | +| d8/la_stack_solve_from_ldlt | 8.21381 ns [8.20853, 8.21669] (0.95 confidence) | 8.20724 ns [8.19176, 8.21578] (0.95 confidence) | 21.6993 ns [21.6244, 21.7363] (0.95 confidence) | 69.6593 ns [69.6017, 69.6999] (0.95 confidence) | +| d8/la_stack_solve_from_lu | 13.3948 ns [13.3776, 13.4128] (0.95 confidence) | 13.4109 ns [13.3987, 13.4503] (0.95 confidence) | 16.2178 ns [16.186, 16.2658] (0.95 confidence) | 102.443 ns [102.246, 102.805] (0.95 confidence) | +| exact_d2/det | 0.437607 ns [0.437261, 0.43802] (0.95 confidence) | 0.450079 ns [0.449262, 0.451482] (0.95 confidence) | — | — | +| exact_d2/det_direct | 0.438443 ns [0.437972, 0.439661] (0.95 confidence) | 0.44589 ns [0.444961, 0.44701] (0.95 confidence) | — | — | +| exact_d2/det_direct_with_errbound | 1.74342 ns [1.74005, 1.74601] (0.95 confidence) | 1.77356 ns [1.77148, 1.77481] (0.95 confidence) | — | — | +| exact_d2/det_errbound | 1.58811 ns [1.5874, 1.58956] (0.95 confidence) | 1.61984 ns [1.61872, 1.62252] (0.95 confidence) | — | — | +| exact_d2/det_exact | 105.681 ns [105.555, 105.714] (0.95 confidence) | 108.898 ns [108.622, 109.16] (0.95 confidence) | — | — | +| exact_d2/det_exact_f64_result | 66.6816 ns [66.3984, 67.107] (0.95 confidence) | 69.2162 ns [69.1264, 69.3796] (0.95 confidence) | — | — | +| exact_d2/det_exact_rounded_f64 | 68.5379 ns [68.3688, 68.7476] (0.95 confidence) | 70.9349 ns [70.8286, 71.0535] (0.95 confidence) | — | — | +| exact_d2/det_sign_exact | 2.97719 ns [2.97444, 2.98201] (0.95 confidence) | 3.05619 ns [3.0517, 3.05976] (0.95 confidence) | — | — | +| exact_d2/solve_exact | 7101.58 ns [7076.55, 7114.39] (0.95 confidence) | 7287.66 ns [7269.82, 7303.67] (0.95 confidence) | — | — | +| exact_d2/solve_exact_f64_result | 7211.4 ns [7198.57, 7221.83] (0.95 confidence) | 7486.5 ns [7474.23, 7503.96] (0.95 confidence) | — | — | +| exact_d2/solve_exact_rounded_f64 | 7521.46 ns [7503.04, 7541.24] (0.95 confidence) | 7667.74 ns [7653.73, 7681.71] (0.95 confidence) | — | — | +| exact_d3/det | 0.824679 ns [0.82185, 0.826576] (0.95 confidence) | 0.844887 ns [0.84331, 0.847052] (0.95 confidence) | — | — | +| exact_d3/det_direct | 0.820217 ns [0.819999, 0.820613] (0.95 confidence) | 0.841538 ns [0.839892, 0.843676] (0.95 confidence) | — | — | +| exact_d3/det_direct_with_errbound | 3.31432 ns [3.31121, 3.31644] (0.95 confidence) | 3.39753 ns [3.38846, 3.40442] (0.95 confidence) | — | — | +| exact_d3/det_errbound | 3.2961 ns [3.29439, 3.29739] (0.95 confidence) | 3.37007 ns [3.36717, 3.37234] (0.95 confidence) | — | — | +| exact_d3/det_exact | 333.2 ns [332.537, 334.062] (0.95 confidence) | 347.228 ns [346.674, 347.694] (0.95 confidence) | — | — | +| exact_d3/det_exact_f64_result | 301.192 ns [300.546, 301.931] (0.95 confidence) | 307.89 ns [307.366, 308.632] (0.95 confidence) | — | — | +| exact_d3/det_exact_rounded_f64 | 303.616 ns [303.313, 304.146] (0.95 confidence) | 311.716 ns [310.916, 312.184] (0.95 confidence) | — | — | +| exact_d3/det_sign_exact | 4.70867 ns [4.70694, 4.71219] (0.95 confidence) | 4.80631 ns [4.79645, 4.81409] (0.95 confidence) | — | — | +| exact_d3/solve_exact | 31151.7 ns [30971.3, 31260.6] (0.95 confidence) | 31421.8 ns [31340, 31484.2] (0.95 confidence) | — | — | +| exact_d3/solve_exact_f64_result | 30868.5 ns [30801.3, 30901] (0.95 confidence) | 32665 ns [32367.3, 32932.5] (0.95 confidence) | — | — | +| exact_d3/solve_exact_rounded_f64 | 31301.8 ns [31224.5, 31382.9] (0.95 confidence) | 31889.1 ns [31809.7, 31976.6] (0.95 confidence) | — | — | +| exact_d4/det | 3.21436 ns [3.21379, 3.21571] (0.95 confidence) | 3.22868 ns [3.22382, 3.23502] (0.95 confidence) | — | — | +| exact_d4/det_direct | 2.35275 ns [2.35217, 2.35392] (0.95 confidence) | 2.36516 ns [2.36235, 2.36771] (0.95 confidence) | — | — | +| exact_d4/det_direct_with_errbound | 6.77784 ns [6.77585, 6.77884] (0.95 confidence) | 6.79239 ns [6.78985, 6.79734] (0.95 confidence) | — | — | +| exact_d4/det_errbound | 6.75278 ns [6.74407, 6.75666] (0.95 confidence) | 6.78473 ns [6.76819, 6.79724] (0.95 confidence) | — | — | +| exact_d4/det_exact | 995.982 ns [992.447, 998.628] (0.95 confidence) | 994.463 ns [989.647, 997.38] (0.95 confidence) | — | — | +| exact_d4/det_exact_f64_result | 953.334 ns [946.67, 956.673] (0.95 confidence) | 942.457 ns [939.248, 946.725] (0.95 confidence) | — | — | +| exact_d4/det_exact_rounded_f64 | 997.858 ns [992.58, 1001.8] (0.95 confidence) | 953.063 ns [947.833, 958.796] (0.95 confidence) | — | — | +| exact_d4/det_sign_exact | 7.92726 ns [7.92438, 7.92858] (0.95 confidence) | 7.96825 ns [7.95719, 7.9766] (0.95 confidence) | — | — | +| exact_d4/solve_exact | 79180.8 ns [79084.4, 79417.8] (0.95 confidence) | 79433 ns [79240.9, 79558.3] (0.95 confidence) | — | — | +| exact_d4/solve_exact_f64_result | 79524.9 ns [79375.2, 79623.1] (0.95 confidence) | 79595.9 ns [79338.6, 79742.8] (0.95 confidence) | — | — | +| exact_d4/solve_exact_rounded_f64 | 80130.8 ns [80036.9, 80288.4] (0.95 confidence) | 80440.7 ns [80332.6, 80657.4] (0.95 confidence) | — | — | +| exact_d5/det | 27.7235 ns [27.6692, 27.766] (0.95 confidence) | 27.9531 ns [27.866, 28.1329] (0.95 confidence) | — | — | +| exact_d5/det_exact | 3443.38 ns [3437.65, 3453.31] (0.95 confidence) | 3496.21 ns [3485.51, 3503.35] (0.95 confidence) | — | — | +| exact_d5/det_exact_f64_result | 3399.92 ns [3390.22, 3405.48] (0.95 confidence) | 3425.94 ns [3422.05, 3429.93] (0.95 confidence) | — | — | +| exact_d5/det_exact_rounded_f64 | 3371.59 ns [3365.66, 3384.72] (0.95 confidence) | 3464.17 ns [3457.26, 3472] (0.95 confidence) | — | — | +| exact_d5/det_sign_exact | 3366.38 ns [3356.93, 3373.04] (0.95 confidence) | 3443.89 ns [3431.94, 3449.15] (0.95 confidence) | — | — | +| exact_d5/solve_exact | 156461 ns [156212, 156628] (0.95 confidence) | 157713 ns [157301, 158021] (0.95 confidence) | — | — | +| exact_d5/solve_exact_f64_result | 156745 ns [156557, 157013] (0.95 confidence) | 158057 ns [157661, 158457] (0.95 confidence) | — | — | +| exact_d5/solve_exact_rounded_f64 | 157433 ns [157193, 157646] (0.95 confidence) | 158819 ns [158422, 159037] (0.95 confidence) | — | — | +| exact_hilbert_4x4/det_exact | 1076.5 ns [1068.35, 1087.49] (0.95 confidence) | 1013.79 ns [1010.21, 1019.36] (0.95 confidence) | — | — | +| exact_hilbert_4x4/det_sign_exact | 8.05776 ns [8.03223, 8.08877] (0.95 confidence) | 7.92417 ns [7.92002, 7.92615] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact | 59638.5 ns [59580.5, 59746.1] (0.95 confidence) | 59591.1 ns [59495.9, 59686.2] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact_f64_result | 59811.3 ns [59764.6, 59928.3] (0.95 confidence) | 59446.4 ns [59318, 59581.2] (0.95 confidence) | — | — | +| exact_hilbert_4x4/solve_exact_rounded_f64 | 60476.9 ns [60337.1, 60612.8] (0.95 confidence) | 60139.9 ns [60076.1, 60207.2] (0.95 confidence) | — | — | +| exact_hilbert_5x5/det_exact | 3596.17 ns [3588.46, 3605.22] (0.95 confidence) | 3703.79 ns [3696.35, 3713.21] (0.95 confidence) | — | — | +| exact_hilbert_5x5/det_sign_exact | 3590.06 ns [3575.21, 3605.64] (0.95 confidence) | 3670.86 ns [3651.49, 3686.03] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact | 123340 ns [123059, 123696] (0.95 confidence) | 122365 ns [122128, 122554] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact_f64_result | 122512 ns [122299, 122707] (0.95 confidence) | 122484 ns [122326, 122754] (0.95 confidence) | — | — | +| exact_hilbert_5x5/solve_exact_rounded_f64 | 123587 ns [123413, 123844] (0.95 confidence) | 129890 ns [129489, 130259] (0.95 confidence) | — | — | +| exact_large_entries_3x3/det_exact | 320.36 ns [319.794, 321.303] (0.95 confidence) | 321.245 ns [320.736, 322.073] (0.95 confidence) | — | — | +| exact_large_entries_3x3/det_sign_exact | 313.534 ns [312.574, 314.258] (0.95 confidence) | 312.382 ns [312.027, 312.8] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact | 92374.7 ns [92255.2, 92526.3] (0.95 confidence) | 93423.1 ns [93319.1, 93553.1] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact_f64_result | 92292.6 ns [92189.6, 92467.7] (0.95 confidence) | 93917.6 ns [93809.9, 94023.6] (0.95 confidence) | — | — | +| exact_large_entries_3x3/solve_exact_rounded_f64 | 92993.5 ns [92788.4, 93187.4] (0.95 confidence) | 95011.1 ns [94877.7, 95275] (0.95 confidence) | — | — | +| exact_near_singular_3x3/det_exact | 330.396 ns [329.774, 330.732] (0.95 confidence) | 331.719 ns [331.215, 332.041] (0.95 confidence) | — | — | +| exact_near_singular_3x3/det_sign_exact | 381.617 ns [380.891, 382.738] (0.95 confidence) | 384.296 ns [383.549, 385.741] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact | 2640.57 ns [2634.42, 2648.9] (0.95 confidence) | 2661.62 ns [2657.04, 2664.72] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact_f64_result | 2666.04 ns [2662.54, 2670.71] (0.95 confidence) | 2664.43 ns [2658.27, 2668.62] (0.95 confidence) | — | — | +| exact_near_singular_3x3/solve_exact_rounded_f64 | 2661.42 ns [2656.71, 2666.63] (0.95 confidence) | 2669.25 ns [2665.89, 2672.32] (0.95 confidence) | — | — | +| exact_random_corpus_d2/det_exact | 3074.61 ns [3073.48, 3076.5] (0.95 confidence) | 3113.29 ns [3110.98, 3116.17] (0.95 confidence) | — | — | +| exact_random_corpus_d2/det_sign_exact | 149.951 ns [148.821, 150.311] (0.95 confidence) | 145.447 ns [145.019, 145.8] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact | 73898.7 ns [73785.4, 74041.7] (0.95 confidence) | 74691.2 ns [74552.8, 74879.2] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact_f64_result | 74636 ns [74528.3, 74739.7] (0.95 confidence) | 75679.1 ns [75588.4, 75805] (0.95 confidence) | — | — | +| exact_random_corpus_d2/solve_exact_rounded_f64 | 74998.9 ns [74909.1, 75146.1] (0.95 confidence) | 76119.2 ns [75828.6, 76475.4] (0.95 confidence) | — | — | +| exact_random_corpus_d3/det_exact | 8735.9 ns [8706.82, 8747.5] (0.95 confidence) | 8916.02 ns [8890.29, 8952.93] (0.95 confidence) | — | — | +| exact_random_corpus_d3/det_sign_exact | 225.041 ns [224.843, 225.166] (0.95 confidence) | 225.856 ns [225.386, 226.057] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact | 236603 ns [234555, 237500] (0.95 confidence) | 232425 ns [232059, 232620] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact_f64_result | 233964 ns [233377, 234178] (0.95 confidence) | 233273 ns [232820, 233741] (0.95 confidence) | — | — | +| exact_random_corpus_d3/solve_exact_rounded_f64 | 232670 ns [232372, 232989] (0.95 confidence) | 234259 ns [233846, 234719] (0.95 confidence) | — | — | +| exact_random_corpus_d4/det_exact | 21465.1 ns [21329.4, 21524.8] (0.95 confidence) | 21767.8 ns [21688.3, 21846.1] (0.95 confidence) | — | — | +| exact_random_corpus_d4/det_sign_exact | 443.083 ns [442.756, 443.478] (0.95 confidence) | 444.827 ns [443.47, 445.771] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact | 514860 ns [514153, 515277] (0.95 confidence) | 524102 ns [523441, 525063] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact_f64_result | 515182 ns [514699, 515836] (0.95 confidence) | 522636 ns [522137, 522990] (0.95 confidence) | — | — | +| exact_random_corpus_d4/solve_exact_rounded_f64 | 516974 ns [515876, 517511] (0.95 confidence) | 525773 ns [524838, 527087] (0.95 confidence) | — | — | +| exact_random_corpus_d5/det_exact | 55095.3 ns [54756.3, 55363.3] (0.95 confidence) | 55825.8 ns [55684.2, 56051.1] (0.95 confidence) | — | — | +| exact_random_corpus_d5/det_sign_exact | 54917.3 ns [54608.2, 55126.3] (0.95 confidence) | 55009.3 ns [54885, 55329.4] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact | 1.01098e+06 ns [1.00922e+06, 1.01757e+06] (0.95 confidence) | 1.02105e+06 ns [1.01928e+06, 1.0227e+06] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact_f64_result | 1.0099e+06 ns [1.00872e+06, 1.01108e+06] (0.95 confidence) | 1.02094e+06 ns [1.01881e+06, 1.02267e+06] (0.95 confidence) | — | — | +| exact_random_corpus_d5/solve_exact_rounded_f64 | 1.0115e+06 ns [1.01054e+06, 1.0123e+06] (0.95 confidence) | 1.01892e+06 ns [1.01752e+06, 1.02096e+06] (0.95 confidence) | — | — | +| rational_input_d2/det_big_rational_gaussian | 1101.62 ns [1099.34, 1102.96] (0.95 confidence) | 1104.07 ns [1102.04, 1107.44] (0.95 confidence) | — | — | +| rational_input_d2/det_row_cleared_bareiss | 178.295 ns [177.825, 178.437] (0.95 confidence) | 179.604 ns [179.355, 180.059] (0.95 confidence) | — | — | +| rational_input_d2/det_sign_row_cleared_bareiss | 76.9844 ns [76.8428, 77.153] (0.95 confidence) | 77.8888 ns [77.737, 78.0925] (0.95 confidence) | — | — | +| rational_input_d2/solve_big_rational_gaussian | 2101.82 ns [2099, 2106.11] (0.95 confidence) | 2115.58 ns [2112.65, 2118.49] (0.95 confidence) | — | — | +| rational_input_d2/solve_row_cleared_bareiss | 926.348 ns [924.941, 927.762] (0.95 confidence) | 931.625 ns [930.645, 932.404] (0.95 confidence) | — | — | +| rational_input_d3/det_big_rational_gaussian | 4607.84 ns [4591.84, 4618.04] (0.95 confidence) | 4618.71 ns [4606.42, 4629.37] (0.95 confidence) | — | — | +| rational_input_d3/det_row_cleared_bareiss | 561.084 ns [560.655, 561.946] (0.95 confidence) | 567.794 ns [566.479, 568.868] (0.95 confidence) | — | — | +| rational_input_d3/det_sign_row_cleared_bareiss | 361.636 ns [360.405, 362.795] (0.95 confidence) | 356.108 ns [355.037, 356.669] (0.95 confidence) | — | — | +| rational_input_d3/solve_big_rational_gaussian | 7954.99 ns [7935.36, 7982.04] (0.95 confidence) | 8041.07 ns [8011.87, 8073.69] (0.95 confidence) | — | — | +| rational_input_d3/solve_row_cleared_bareiss | 2399.62 ns [2397.75, 2401.91] (0.95 confidence) | 2415.2 ns [2410.25, 2420.77] (0.95 confidence) | — | — | +| rational_input_d4/det_big_rational_gaussian | 13591.5 ns [13511.7, 13635.6] (0.95 confidence) | 13455.6 ns [13419.5, 13507.7] (0.95 confidence) | — | — | +| rational_input_d4/det_row_cleared_bareiss | 1142.12 ns [1138.56, 1143.7] (0.95 confidence) | 1145.98 ns [1143.13, 1147.91] (0.95 confidence) | — | — | +| rational_input_d4/det_sign_row_cleared_bareiss | 761.999 ns [759.33, 763.949] (0.95 confidence) | 756.302 ns [755.292, 757.201] (0.95 confidence) | — | — | +| rational_input_d4/solve_big_rational_gaussian | 23663.8 ns [23615.8, 23716.4] (0.95 confidence) | 23719.3 ns [23645.2, 23790.2] (0.95 confidence) | — | — | +| rational_input_d4/solve_row_cleared_bareiss | 5289.48 ns [5280.14, 5298.04] (0.95 confidence) | 5772.1 ns [5438.53, 5833.49] (0.95 confidence) | — | — | +| rational_input_d5/det_big_rational_gaussian | 23230.8 ns [23150.3, 23279.4] (0.95 confidence) | 23137 ns [23102.7, 23164.8] (0.95 confidence) | — | — | +| rational_input_d5/det_row_cleared_bareiss | 2055.03 ns [2051.28, 2060.1] (0.95 confidence) | 2077 ns [2074.49, 2079.9] (0.95 confidence) | — | — | +| rational_input_d5/det_sign_row_cleared_bareiss | 1538.17 ns [1535.12, 1542.43] (0.95 confidence) | 1571.96 ns [1570.15, 1575.37] (0.95 confidence) | — | — | +| rational_input_d5/solve_big_rational_gaussian | 39295.2 ns [39086.4, 39466.5] (0.95 confidence) | 39284.3 ns [39220, 39359.5] (0.95 confidence) | — | — | +| rational_input_d5/solve_row_cleared_bareiss | 9337.06 ns [9322.82, 9367.19] (0.95 confidence) | 9466.7 ns [9442.65, 9484.9] (0.95 confidence) | — | — | +| rational_input_d6/det_big_rational_gaussian | 56010.1 ns [55774.6, 56174.1] (0.95 confidence) | 56994.6 ns [56766, 57163.9] (0.95 confidence) | — | — | +| rational_input_d6/det_row_cleared_bareiss | 3600.36 ns [3590.3, 3610.64] (0.95 confidence) | 3634.44 ns [3625.5, 3643.79] (0.95 confidence) | — | — | +| rational_input_d6/det_sign_row_cleared_bareiss | 2941.38 ns [2937.33, 2948.15] (0.95 confidence) | 2981.62 ns [2978.38, 2987.35] (0.95 confidence) | — | — | +| rational_input_d6/solve_big_rational_gaussian | 89102.5 ns [88929.7, 89313.1] (0.95 confidence) | 90044.2 ns [89810.5, 90232.2] (0.95 confidence) | — | — | +| rational_input_d6/solve_row_cleared_bareiss | 17413.4 ns [17310.6, 17491.9] (0.95 confidence) | 17813.1 ns [17775.4, 17853] (0.95 confidence) | — | — | +| rational_input_d7/det_big_rational_gaussian | 108117 ns [107947, 108683] (0.95 confidence) | 110131 ns [109794, 110370] (0.95 confidence) | — | — | +| rational_input_d7/det_row_cleared_bareiss | 5842.88 ns [5824.17, 5856.91] (0.95 confidence) | 5874.12 ns [5853.19, 5886.59] (0.95 confidence) | — | — | +| rational_input_d7/det_sign_row_cleared_bareiss | 5000.46 ns [4988.05, 5011.27] (0.95 confidence) | 4997.34 ns [4990.86, 5005.29] (0.95 confidence) | — | — | +| rational_input_d7/solve_big_rational_gaussian | 158783 ns [158480, 159372] (0.95 confidence) | 162794 ns [162278, 163066] (0.95 confidence) | — | — | +| rational_input_d7/solve_row_cleared_bareiss | 28160.2 ns [28040.7, 28265.3] (0.95 confidence) | 28929.7 ns [28904, 28967.5] (0.95 confidence) | — | — | +| rational_input_d8/det_big_rational_gaussian | 187037 ns [186707, 187403] (0.95 confidence) | 190295 ns [189907, 190514] (0.95 confidence) | — | — | +| rational_input_d8/det_row_cleared_bareiss | 8821.33 ns [8793.62, 8847.83] (0.95 confidence) | 8890.39 ns [8876.42, 8901.57] (0.95 confidence) | — | — | +| rational_input_d8/det_sign_row_cleared_bareiss | 7984.02 ns [7972.89, 8000.1] (0.95 confidence) | 7938.35 ns [7921.87, 7948.98] (0.95 confidence) | — | — | +| rational_input_d8/solve_big_rational_gaussian | 261996 ns [261648, 262655] (0.95 confidence) | 268285 ns [267897, 268994] (0.95 confidence) | — | — | +| rational_input_d8/solve_row_cleared_bareiss | 40878.2 ns [40802.8, 40944] (0.95 confidence) | 41625.7 ns [41560.5, 41757.9] (0.95 confidence) | — | — | -- Publication CPU: `Apple M4 Max (arm64)` -- Publication OS: `Darwin 25.6.0 arm64` -- Publication rustc: `rustc 1.98.1 (48a229cea 2026-09-01)` -- Publication commit: `d36a9e99ec223c4cbbf8a9191818f186159c27f7` -- Publication Git clean: `false` -- Publication source-state SHA-256: `b8fcf706fa6e287ca6682a1ecef5a69576413b9c88040184a9b1ecb8f6e92336` -- Publication Cargo.lock SHA-256: `37c6f3339dc4eedcc5587e44133a7d0299fef2bd9da52fc0464e2ceeb0138edb` -- Publication harness SHA-256: `27acd15e854e46899ff1c1f8e1b399ff240b0b9732e56a36cf8edb39c4a58db3` -- Criterion suite/scope: `all` / `release-signal` -- Criterion statistic/sample: `median` / `new` -- Criterion dependency version: `0.8.2` -- Baseline command: `just bench-save-baseline v0.4.5` -- Current command: `just bench-latest` -- Correctness gate: `just test-bench-inputs` passed against both the current and baseline revisions using the shared current fixture harness. -- Validated current revision: `d36a9e99ec223c4cbbf8a9191818f186159c27f7` (Git clean: `false`; - source-state SHA-256: `b8fcf706fa6e287ca6682a1ecef5a69576413b9c88040184a9b1ecb8f6e92336`) -- Validated baseline revision: `78ba1c25beaed7321e175113e0876aac6d763a59` (Git clean: `false`; - source-state SHA-256: `7d72086128b12e2a89d5ca78f0e8cc0cb393a44f1062d027a069722ff9dae007`) -- Baseline API compatibility: `la_stack_pre_rational_input_api` selects only source-compatible benchmark calls; - one-sided rows outside the baseline's correctness domain are identified by the retained CSV coverage status and note. +## Recorded measurement provenance -## Exact arithmetic +These observations belong to the measured phases. Rerendering does not recapture the publisher's environment. -| Case | Benchmark | v0.4.5 (point + CI) | Latest (point + CI) | Point-estimate change | CI relation | Point-estimate ratio | -|:-----|:----------|-------:|-------:|-------:|:-----------|--------:| -| D=2 | det | 0.4 ns [0.4 ns, 0.4 ns] | 0.4 ns [0.4 ns, 0.4 ns] | -0.2% | marginal CIs overlap | 1.00x | -| D=2 | det_direct | 0.4 ns [0.4 ns, 0.4 ns] | 0.4 ns [0.4 ns, 0.4 ns] | -0.3% | marginal CIs overlap | 1.00x | -| D=2 | det_direct_with_errbound | 1.7 ns [1.7 ns, 1.7 ns] | 1.7 ns [1.7 ns, 1.7 ns] | -0.0% | marginal CIs overlap | 1.00x | -| D=2 | det_errbound | 1.7 ns [1.6 ns, 1.7 ns] | 1.6 ns [1.6 ns, 1.6 ns] | -2.5% | faster point estimate; marginal CIs separated | 1.03x | -| D=2 | det_exact | 110.5 ns [110.4 ns, 110.7 ns] | 100.4 ns [100.3 ns, 100.5 ns] | -9.2% | faster point estimate; marginal CIs separated | 1.10x | -| D=2 | det_exact_f64_result | 71.3 ns [71.2 ns, 71.5 ns] | 73.1 ns [72.9 ns, 73.2 ns] | +2.5% | slower point estimate; marginal CIs separated | 0.98x | -| D=2 | det_exact_rounded_f64 | 72.7 ns [72.6 ns, 72.7 ns] | 73.3 ns [73.2 ns, 73.4 ns] | +0.8% | slower point estimate; marginal CIs separated | 0.99x | -| D=2 | det_sign_exact | 2.7 ns [2.7 ns, 2.7 ns] | 3.0 ns [3.0 ns, 3.0 ns] | +9.1% | slower point estimate; marginal CIs separated | 0.92x | -| D=2 | solve_exact | 7.06 µs [7.05 µs, 7.07 µs] | 7.10 µs [7.09 µs, 7.12 µs] | +0.7% | slower point estimate; marginal CIs separated | 0.99x | -| D=2 | solve_exact_f64_result | 8.28 µs [8.26 µs, 8.28 µs] | 7.33 µs [7.32 µs, 7.34 µs] | -11.5% | faster point estimate; marginal CIs separated | 1.13x | -| D=2 | solve_exact_rounded_f64 | 7.48 µs [7.47 µs, 7.49 µs] | 7.55 µs [7.54 µs, 7.56 µs] | +0.8% | slower point estimate; marginal CIs separated | 0.99x | -| D=3 | det | 0.8 ns [0.8 ns, 0.8 ns] | 0.8 ns [0.8 ns, 0.8 ns] | +0.1% | marginal CIs overlap | 1.00x | -| D=3 | det_direct | 0.8 ns [0.8 ns, 0.8 ns] | 0.8 ns [0.8 ns, 0.8 ns] | +2.9% | slower point estimate; marginal CIs separated | 0.97x | -| D=3 | det_direct_with_errbound | 3.4 ns [3.3 ns, 3.4 ns] | 3.3 ns [3.3 ns, 3.3 ns] | -0.5% | faster point estimate; marginal CIs separated | 1.01x | -| D=3 | det_errbound | 3.3 ns [3.3 ns, 3.3 ns] | 3.3 ns [3.3 ns, 3.3 ns] | +0.1% | slower point estimate; marginal CIs separated | 1.00x | -| D=3 | det_exact | 370.6 ns [369.9 ns, 371.5 ns] | 338.9 ns [338.5 ns, 339.4 ns] | -8.6% | faster point estimate; marginal CIs separated | 1.09x | -| D=3 | det_exact_f64_result | 338.5 ns [338.0 ns, 339.2 ns] | 313.9 ns [313.2 ns, 314.4 ns] | -7.3% | faster point estimate; marginal CIs separated | 1.08x | -| D=3 | det_exact_rounded_f64 | 340.1 ns [338.8 ns, 341.2 ns] | 317.2 ns [316.0 ns, 318.2 ns] | -6.7% | faster point estimate; marginal CIs separated | 1.07x | -| D=3 | det_sign_exact | 4.7 ns [4.7 ns, 4.7 ns] | 4.7 ns [4.7 ns, 4.7 ns] | -0.0% | marginal CIs overlap | 1.00x | -| D=3 | solve_exact | 30.84 µs [30.78 µs, 30.89 µs] | 30.60 µs [30.51 µs, 30.67 µs] | -0.8% | faster point estimate; marginal CIs separated | 1.01x | -| D=3 | solve_exact_f64_result | 32.80 µs [32.76 µs, 32.87 µs] | 30.92 µs [30.86 µs, 30.96 µs] | -5.7% | faster point estimate; marginal CIs separated | 1.06x | -| D=3 | solve_exact_rounded_f64 | 31.46 µs [31.35 µs, 31.60 µs] | 31.60 µs [31.55 µs, 31.72 µs] | +0.5% | marginal CIs overlap | 1.00x | -| D=4 | det | 3.2 ns [3.2 ns, 3.2 ns] | 3.2 ns [3.2 ns, 3.2 ns] | -0.1% | marginal CIs overlap | 1.00x | -| D=4 | det_direct | 2.4 ns [2.4 ns, 2.4 ns] | 2.4 ns [2.4 ns, 2.4 ns] | -0.0% | marginal CIs overlap | 1.00x | -| D=4 | det_direct_with_errbound | 6.8 ns [6.8 ns, 6.8 ns] | 6.8 ns [6.8 ns, 6.8 ns] | +0.2% | slower point estimate; marginal CIs separated | 1.00x | -| D=4 | det_errbound | 6.7 ns [6.7 ns, 6.7 ns] | 6.7 ns [6.7 ns, 6.7 ns] | +0.1% | slower point estimate; marginal CIs separated | 1.00x | -| D=4 | det_exact | 1.22 µs [1.21 µs, 1.22 µs] | 1.01 µs [1.01 µs, 1.01 µs] | -17.0% | faster point estimate; marginal CIs separated | 1.20x | -| D=4 | det_exact_f64_result | 1.17 µs [1.16 µs, 1.17 µs] | 1.06 µs [1.05 µs, 1.06 µs] | -9.6% | faster point estimate; marginal CIs separated | 1.11x | -| D=4 | det_exact_rounded_f64 | 1.17 µs [1.17 µs, 1.17 µs] | 1.01 µs [1.01 µs, 1.01 µs] | -13.8% | faster point estimate; marginal CIs separated | 1.16x | -| D=4 | det_sign_exact | 7.7 ns [7.7 ns, 7.7 ns] | 8.0 ns [8.0 ns, 8.0 ns] | +3.6% | slower point estimate; marginal CIs separated | 0.97x | -| D=4 | solve_exact | 80.39 µs [80.27 µs, 80.49 µs] | 79.18 µs [79.08 µs, 79.34 µs] | -1.5% | faster point estimate; marginal CIs separated | 1.02x | -| D=4 | solve_exact_f64_result | 83.39 µs [83.24 µs, 83.63 µs] | 79.34 µs [79.13 µs, 79.50 µs] | -4.9% | faster point estimate; marginal CIs separated | 1.05x | -| D=4 | solve_exact_rounded_f64 | 81.02 µs [80.74 µs, 81.52 µs] | 79.86 µs [79.66 µs, 80.05 µs] | -1.4% | faster point estimate; marginal CIs separated | 1.01x | -| D=5 | det | 24.7 ns [24.7 ns, 24.8 ns] | 25.0 ns [25.0 ns, 25.1 ns] | +1.4% | slower point estimate; marginal CIs separated | 0.99x | -| D=5 | det_exact | 3.54 µs [3.52 µs, 3.54 µs] | 3.74 µs [3.71 µs, 3.79 µs] | +5.7% | slower point estimate; marginal CIs separated | 0.95x | -| D=5 | det_exact_f64_result | 3.49 µs [3.48 µs, 3.50 µs] | 3.54 µs [3.54 µs, 3.55 µs] | +1.7% | slower point estimate; marginal CIs separated | 0.98x | -| D=5 | det_exact_rounded_f64 | 3.47 µs [3.46 µs, 3.48 µs] | 3.61 µs [3.60 µs, 3.61 µs] | +3.8% | slower point estimate; marginal CIs separated | 0.96x | -| D=5 | det_sign_exact | 3.58 µs [3.57 µs, 3.59 µs] | 3.70 µs [3.70 µs, 3.71 µs] | +3.5% | slower point estimate; marginal CIs separated | 0.97x | -| D=5 | solve_exact | 159.88 µs [159.63 µs, 160.24 µs] | 157.60 µs [157.28 µs, 157.89 µs] | -1.4% | faster point estimate; marginal CIs separated | 1.01x | -| D=5 | solve_exact_f64_result | 163.37 µs [162.91 µs, 163.71 µs] | 157.72 µs [157.38 µs, 157.93 µs] | -3.5% | faster point estimate; marginal CIs separated | 1.04x | -| D=5 | solve_exact_rounded_f64 | 161.50 µs [161.20 µs, 161.73 µs] | 164.26 µs [163.54 µs, 164.87 µs] | +1.7% | slower point estimate; marginal CIs separated | 0.98x | -| Hilbert 4x4 | det_exact | 1.34 µs [1.33 µs, 1.35 µs] | 1.04 µs [1.04 µs, 1.05 µs] | -22.3% | faster point estimate; marginal CIs separated | 1.29x | -| Hilbert 4x4 | det_sign_exact | 7.7 ns [7.7 ns, 7.7 ns] | 8.0 ns [8.0 ns, 8.0 ns] | +3.4% | slower point estimate; marginal CIs separated | 0.97x | -| Hilbert 4x4 | solve_exact | 60.21 µs [60.13 µs, 60.29 µs] | 59.56 µs [59.47 µs, 59.63 µs] | -1.1% | faster point estimate; marginal CIs separated | 1.01x | -| Hilbert 4x4 | solve_exact_f64_result | 62.75 µs [62.65 µs, 62.89 µs] | 59.74 µs [59.59 µs, 59.79 µs] | -4.8% | faster point estimate; marginal CIs separated | 1.05x | -| Hilbert 4x4 | solve_exact_rounded_f64 | 61.09 µs [60.95 µs, 61.18 µs] | 60.47 µs [60.26 µs, 60.62 µs] | -1.0% | faster point estimate; marginal CIs separated | 1.01x | -| Hilbert 5x5 | det_exact | 3.68 µs [3.66 µs, 3.69 µs] | 3.75 µs [3.74 µs, 3.76 µs] | +1.9% | slower point estimate; marginal CIs separated | 0.98x | -| Hilbert 5x5 | det_sign_exact | 3.87 µs [3.87 µs, 3.88 µs] | 3.92 µs [3.92 µs, 3.93 µs] | +1.1% | slower point estimate; marginal CIs separated | 0.99x | -| Hilbert 5x5 | solve_exact | 124.69 µs [124.44 µs, 124.97 µs] | 122.82 µs [122.53 µs, 122.95 µs] | -1.5% | faster point estimate; marginal CIs separated | 1.02x | -| Hilbert 5x5 | solve_exact_f64_result | 127.73 µs [127.44 µs, 128.19 µs] | 122.06 µs [121.91 µs, 122.40 µs] | -4.4% | faster point estimate; marginal CIs separated | 1.05x | -| Hilbert 5x5 | solve_exact_rounded_f64 | 126.57 µs [126.11 µs, 126.93 µs] | 124.52 µs [124.21 µs, 124.64 µs] | -1.6% | faster point estimate; marginal CIs separated | 1.02x | -| Large entries 3x3 | det_exact | 338.5 ns [337.7 ns, 339.5 ns] | 341.6 ns [340.6 ns, 343.9 ns] | +0.9% | slower point estimate; marginal CIs separated | 0.99x | -| Large entries 3x3 | det_sign_exact | 320.8 ns [319.6 ns, 323.0 ns] | 334.9 ns [334.1 ns, 337.0 ns] | +4.4% | slower point estimate; marginal CIs separated | 0.96x | -| Large entries 3x3 | solve_exact | 93.99 µs [93.81 µs, 94.26 µs] | 93.14 µs [92.93 µs, 93.30 µs] | -0.9% | faster point estimate; marginal CIs separated | 1.01x | -| Large entries 3x3 | solve_exact_f64_result | 94.71 µs [94.65 µs, 94.80 µs] | 93.37 µs [93.24 µs, 93.46 µs] | -1.4% | faster point estimate; marginal CIs separated | 1.01x | -| Large entries 3x3 | solve_exact_rounded_f64 | 94.49 µs [94.43 µs, 94.61 µs] | 93.32 µs [93.20 µs, 93.38 µs] | -1.2% | faster point estimate; marginal CIs separated | 1.01x | -| Near-singular 3x3 | det_exact | 342.0 ns [341.2 ns, 342.8 ns] | 334.5 ns [333.8 ns, 336.3 ns] | -2.2% | faster point estimate; marginal CIs separated | 1.02x | -| Near-singular 3x3 | det_sign_exact | 398.3 ns [394.8 ns, 401.2 ns] | 360.9 ns [360.5 ns, 361.6 ns] | -9.4% | faster point estimate; marginal CIs separated | 1.10x | -| Near-singular 3x3 | solve_exact | 2.60 µs [2.60 µs, 2.61 µs] | 2.81 µs [2.80 µs, 2.81 µs] | +7.9% | slower point estimate; marginal CIs separated | 0.93x | -| Near-singular 3x3 | solve_exact_f64_result | 2.70 µs [2.70 µs, 2.71 µs] | 2.81 µs [2.80 µs, 2.81 µs] | +3.8% | slower point estimate; marginal CIs separated | 0.96x | -| Near-singular 3x3 | solve_exact_rounded_f64 | 2.60 µs [2.60 µs, 2.61 µs] | 2.78 µs [2.77 µs, 2.80 µs] | +6.9% | slower point estimate; marginal CIs separated | 0.94x | -| Random corpus D=2 | det_exact | 3.12 µs [3.12 µs, 3.12 µs] | 3.16 µs [3.14 µs, 3.18 µs] | +1.2% | slower point estimate; marginal CIs separated | 0.99x | -| Random corpus D=2 | det_sign_exact | 136.4 ns [135.6 ns, 137.0 ns] | 149.9 ns [148.9 ns, 150.9 ns] | +9.9% | slower point estimate; marginal CIs separated | 0.91x | -| Random corpus D=2 | solve_exact | 67.47 µs [67.33 µs, 67.59 µs] | 78.46 µs [78.37 µs, 78.65 µs] | +16.3% | slower point estimate; marginal CIs separated | 0.86x | -| Random corpus D=2 | solve_exact_f64_result | 78.30 µs [77.84 µs, 78.74 µs] | 79.81 µs [79.67 µs, 79.96 µs] | +1.9% | slower point estimate; marginal CIs separated | 0.98x | -| Random corpus D=2 | solve_exact_rounded_f64 | 68.56 µs [68.41 µs, 68.68 µs] | 82.23 µs [82.02 µs, 82.37 µs] | +19.9% | slower point estimate; marginal CIs separated | 0.83x | -| Random corpus D=3 | det_exact | 8.35 µs [8.08 µs, 8.64 µs] | 8.47 µs [8.44 µs, 8.49 µs] | +1.5% | marginal CIs overlap | 0.99x | -| Random corpus D=3 | det_sign_exact | 225.1 ns [225.0 ns, 225.2 ns] | 227.9 ns [227.4 ns, 228.3 ns] | +1.2% | slower point estimate; marginal CIs separated | 0.99x | -| Random corpus D=3 | solve_exact | 214.24 µs [213.80 µs, 214.55 µs] | 239.62 µs [239.14 µs, 240.19 µs] | +11.9% | slower point estimate; marginal CIs separated | 0.89x | -| Random corpus D=3 | solve_exact_f64_result | 229.92 µs [229.52 µs, 230.51 µs] | 240.54 µs [240.00 µs, 241.28 µs] | +4.6% | slower point estimate; marginal CIs separated | 0.96x | -| Random corpus D=3 | solve_exact_rounded_f64 | 217.63 µs [217.29 µs, 217.94 µs] | 242.67 µs [242.06 µs, 243.32 µs] | +11.5% | slower point estimate; marginal CIs separated | 0.90x | -| Random corpus D=4 | det_exact | 25.26 µs [25.21 µs, 25.30 µs] | 21.20 µs [21.16 µs, 21.27 µs] | -16.1% | faster point estimate; marginal CIs separated | 1.19x | -| Random corpus D=4 | det_sign_exact | 424.5 ns [423.1 ns, 425.6 ns] | 454.6 ns [452.7 ns, 456.0 ns] | +7.1% | slower point estimate; marginal CIs separated | 0.93x | -| Random corpus D=4 | solve_exact | 489.45 µs [488.84 µs, 490.29 µs] | 535.37 µs [533.84 µs, 537.11 µs] | +9.4% | slower point estimate; marginal CIs separated | 0.91x | -| Random corpus D=4 | solve_exact_f64_result | 507.75 µs [507.05 µs, 508.51 µs] | 534.53 µs [533.89 µs, 535.33 µs] | +5.3% | slower point estimate; marginal CIs separated | 0.95x | -| Random corpus D=4 | solve_exact_rounded_f64 | 491.51 µs [490.45 µs, 491.98 µs] | 535.39 µs [535.09 µs, 535.96 µs] | +8.9% | slower point estimate; marginal CIs separated | 0.92x | -| Random corpus D=5 | det_exact | 47.41 µs [47.34 µs, 47.50 µs] | 55.99 µs [55.88 µs, 56.13 µs] | +18.1% | slower point estimate; marginal CIs separated | 0.85x | -| Random corpus D=5 | det_sign_exact | 49.54 µs [48.76 µs, 50.88 µs] | 61.93 µs [61.88 µs, 62.04 µs] | +25.0% | slower point estimate; marginal CIs separated | 0.80x | -| Random corpus D=5 | solve_exact | 965.82 µs [964.45 µs, 966.73 µs] | 1.04 ms [1.04 ms, 1.04 ms] | +8.1% | slower point estimate; marginal CIs separated | 0.92x | -| Random corpus D=5 | solve_exact_f64_result | 987.58 µs [986.29 µs, 989.22 µs] | 1.04 ms [1.04 ms, 1.04 ms] | +5.5% | slower point estimate; marginal CIs separated | 0.95x | -| Random corpus D=5 | solve_exact_rounded_f64 | 966.85 µs [965.47 µs, 968.31 µs] | 1.04 ms [1.04 ms, 1.05 ms] | +8.1% | slower point estimate; marginal CIs separated | 0.93x | +### Baseline phase -## vs_linalg +| Field | Recorded value | +| --- | --- | +| Release | v0.4.6 | +| Revision | 0215e65763f8eecb4bcad8bf29de4aca67531aa1 | +| Measurement mode | tag | +| Original source SHA-256 | d5054a85bd6b163fa142cb94ffc01a217d033893dd9ea8b5e422a442dcbc5074 | +| Measured source SHA-256 | c4756ecf0cde859b365b4c082e12fccf66f21b7e4752c323eb10e9a74bc4f6fa | +| Common harness SHA-256 | bdb17ee72a8f6482ab66fbd92781bba3137a02c528302068f1c3119dc547b17d | +| Fingerprint schema | research-repo-tools/files/v1 | +| OS | macOS-27.0.1-arm64-arm-64bit-Mach-O | +| Architecture | arm64 | +| CPU | Apple M4 Max (arm64) | +| Physical cores | 16 | +| Logical threads | 16 | +| Memory (bytes) | 68719476736 | +| Tool: cargo | cargo 1.99.0 (5f94df478 2026-08-27) | +| Tool: just | just 1.58.0 | +| Tool: rustc | rustc 1.99.0 (b940084d7 2026-09-28)
binary: rustc
commit-hash: b940084d7eb6a299eb4bfeb8e34901bc051e7ac4
commit-date: 2026-09-28
host: aarch64-apple-darwin
release: 1.99.0
LLVM version: 23.1.1 | +| Dependency: criterion | 0.8.2 | +| Dependency: faer | 0.24.4 | +| Dependency: nalgebra | 0.35.0 | +| Environment overrides (names only) | CARGO_TARGET_DIR, CRITERION_HOME, RUSTFLAGS, RUSTUP_TOOLCHAIN | +| Measurement command (argv) | ["just", "--justfile", "tooling/performance.just", "--working-directory", ".", "baseline-all"] | +| Independent correctness gate | passed | +| Gate command (argv) | ["just", "--justfile", "tooling/performance.just", "--working-directory", ".", "gate"] | -| Case | Benchmark | v0.4.5 (point + CI) | Latest (point + CI) | Point-estimate change | CI relation | Point-estimate ratio | v0.4.5 nalgebra | v0.4.5 faer | -|:-----|:----------|-------:|-------:|-------:|:-----------|--------:|-------:|-------:| -| D=16 | la_stack_det | 433.3 ns [431.0 ns, 435.4 ns] | 463.8 ns [460.4 ns, 472.3 ns] | +7.0% | slower point estimate; marginal CIs separated | 0.93x | — | — | -| D=16 | la_stack_det_from_ldlt | 2.9 ns [2.9 ns, 2.9 ns] | 2.9 ns [2.9 ns, 2.9 ns] | -0.1% | marginal CIs overlap | 1.00x | 1.7 ns [1.7 ns, 1.7 ns] | 4.3 ns [4.3 ns, 4.4 ns] | -| D=16 | la_stack_det_from_lu | 3.3 ns [3.3 ns, 3.3 ns] | 3.3 ns [3.3 ns, 3.3 ns] | +0.2% | marginal CIs overlap | 1.00x | 1.8 ns [1.8 ns, 1.8 ns] | 4.8 ns [4.7 ns, 4.8 ns] | -| D=16 | la_stack_det_via_lu | 403.1 ns [402.1 ns, 405.0 ns] | 405.2 ns [403.8 ns, 406.9 ns] | +0.5% | marginal CIs overlap | 0.99x | 449.5 ns [448.4 ns, 450.3 ns] | 671.6 ns [665.6 ns, 677.2 ns] | -| D=16 | la_stack_dot | 2.3 ns [2.3 ns, 2.3 ns] | 2.3 ns [2.3 ns, 2.3 ns] | +0.5% | slower point estimate; marginal CIs separated | 1.00x | 1.9 ns [1.9 ns, 1.9 ns] | 3.3 ns [3.3 ns, 3.3 ns] | -| D=16 | la_stack_inf_norm | 32.2 ns [32.2 ns, 32.3 ns] | 32.2 ns [32.1 ns, 32.2 ns] | -0.3% | marginal CIs overlap | 1.00x | 31.4 ns [31.3 ns, 31.4 ns] | 32.7 ns [32.5 ns, 32.7 ns] | -| D=16 | la_stack_ldlt | 383.4 ns [382.4 ns, 383.9 ns] | 403.8 ns [403.4 ns, 404.5 ns] | +5.3% | slower point estimate; marginal CIs separated | 0.95x | 397.0 ns [396.6 ns, 397.6 ns] | 428.2 ns [426.1 ns, 430.8 ns] | -| D=16 | la_stack_ldlt_solve | 425.4 ns [424.9 ns, 425.8 ns] | 447.6 ns [446.3 ns, 448.1 ns] | +5.2% | slower point estimate; marginal CIs separated | 0.95x | 607.4 ns [606.6 ns, 608.8 ns] | 626.1 ns [624.9 ns, 627.1 ns] | -| D=16 | la_stack_lu | 393.8 ns [392.8 ns, 395.0 ns] | 395.6 ns [394.4 ns, 397.1 ns] | +0.5% | marginal CIs overlap | 1.00x | 453.8 ns [452.9 ns, 454.1 ns] | 641.8 ns [639.4 ns, 645.7 ns] | -| D=16 | la_stack_lu_solve | 640.8 ns [639.4 ns, 641.5 ns] | 643.5 ns [641.5 ns, 644.9 ns] | +0.4% | slower point estimate; marginal CIs separated | 1.00x | 569.4 ns [568.9 ns, 569.9 ns] | 903.1 ns [900.3 ns, 905.3 ns] | -| D=16 | la_stack_norm2_sq | 2.1 ns [2.1 ns, 2.1 ns] | 2.1 ns [2.1 ns, 2.1 ns] | +0.0% | marginal CIs overlap | 1.00x | 1.5 ns [1.5 ns, 1.5 ns] | 4.1 ns [4.1 ns, 4.1 ns] | -| D=16 | la_stack_solve_from_ldlt | 27.7 ns [27.7 ns, 27.8 ns] | 27.7 ns [27.7 ns, 27.7 ns] | -0.1% | marginal CIs overlap | 1.00x | 116.1 ns [115.7 ns, 116.2 ns] | 181.7 ns [181.4 ns, 182.2 ns] | -| D=16 | la_stack_solve_from_lu | 188.0 ns [187.6 ns, 188.6 ns] | 188.8 ns [188.3 ns, 189.4 ns] | +0.4% | marginal CIs overlap | 1.00x | 92.2 ns [92.1 ns, 92.3 ns] | 258.8 ns [255.7 ns, 262.5 ns] | -| D=2 | la_stack_det | 0.6 ns [0.6 ns, 0.6 ns] | 0.6 ns [0.6 ns, 0.6 ns] | +0.0% | marginal CIs overlap | 1.00x | — | — | -| D=2 | la_stack_det_from_ldlt | 0.5 ns [0.5 ns, 0.5 ns] | 0.5 ns [0.5 ns, 0.5 ns] | +0.0% | marginal CIs overlap | 1.00x | 0.4 ns [0.4 ns, 0.4 ns] | 0.5 ns [0.5 ns, 0.6 ns] | -| D=2 | la_stack_det_from_lu | 0.5 ns [0.5 ns, 0.5 ns] | 0.5 ns [0.5 ns, 0.5 ns] | -0.1% | marginal CIs overlap | 1.00x | 0.4 ns [0.4 ns, 0.4 ns] | 0.7 ns [0.7 ns, 0.7 ns] | -| D=2 | la_stack_det_via_lu | 1.8 ns [1.8 ns, 1.8 ns] | 1.8 ns [1.8 ns, 1.8 ns] | +0.3% | slower point estimate; marginal CIs separated | 1.00x | 0.8 ns [0.8 ns, 0.8 ns] | 131.7 ns [131.1 ns, 132.0 ns] | -| D=2 | la_stack_dot | 0.6 ns [0.6 ns, 0.6 ns] | 0.6 ns [0.6 ns, 0.6 ns] | -0.2% | marginal CIs overlap | 1.00x | 0.6 ns [0.6 ns, 0.6 ns] | 2.5 ns [2.5 ns, 2.7 ns] | -| D=2 | la_stack_inf_norm | 0.6 ns [0.6 ns, 0.6 ns] | 0.6 ns [0.6 ns, 0.6 ns] | -0.0% | marginal CIs overlap | 1.00x | 0.5 ns [0.5 ns, 0.5 ns] | 0.7 ns [0.7 ns, 0.7 ns] | -| D=2 | la_stack_ldlt | 6.5 ns [6.5 ns, 6.5 ns] | 6.6 ns [6.6 ns, 6.6 ns] | +2.6% | slower point estimate; marginal CIs separated | 0.97x | 1.7 ns [1.7 ns, 1.7 ns] | 98.0 ns [97.6 ns, 98.4 ns] | -| D=2 | la_stack_ldlt_solve | 9.3 ns [9.3 ns, 9.3 ns] | 9.4 ns [9.4 ns, 9.5 ns] | +1.2% | slower point estimate; marginal CIs separated | 0.99x | 2.5 ns [2.5 ns, 2.5 ns] | 145.9 ns [143.5 ns, 147.3 ns] | -| D=2 | la_stack_lu | 1.6 ns [1.6 ns, 1.6 ns] | 1.6 ns [1.6 ns, 1.6 ns] | -0.3% | faster point estimate; marginal CIs separated | 1.00x | 1.6 ns [1.6 ns, 1.6 ns] | 120.9 ns [120.0 ns, 121.7 ns] | -| D=2 | la_stack_lu_solve | 2.0 ns [2.0 ns, 2.0 ns] | 2.0 ns [2.0 ns, 2.0 ns] | -0.5% | marginal CIs overlap | 1.01x | 4.5 ns [4.5 ns, 4.5 ns] | 182.5 ns [182.1 ns, 183.0 ns] | -| D=2 | la_stack_norm2_sq | 0.4 ns [0.4 ns, 0.4 ns] | 0.4 ns [0.4 ns, 0.4 ns] | -0.0% | marginal CIs overlap | 1.00x | 0.4 ns [0.4 ns, 0.4 ns] | 4.1 ns [4.1 ns, 4.1 ns] | -| D=2 | la_stack_solve_from_ldlt | 1.2 ns [1.2 ns, 1.2 ns] | 1.2 ns [1.2 ns, 1.2 ns] | +1.6% | slower point estimate; marginal CIs separated | 0.98x | 1.2 ns [1.2 ns, 1.2 ns] | 44.0 ns [43.7 ns, 44.2 ns] | -| D=2 | la_stack_solve_from_lu | 1.2 ns [1.2 ns, 1.2 ns] | 1.2 ns [1.2 ns, 1.2 ns] | -0.0% | marginal CIs overlap | 1.00x | 2.9 ns [2.9 ns, 2.9 ns] | 54.8 ns [54.6 ns, 54.9 ns] | -| D=3 | la_stack_det | 1.3 ns [1.3 ns, 1.3 ns] | 1.3 ns [1.3 ns, 1.3 ns] | -0.2% | marginal CIs overlap | 1.00x | — | — | -| D=3 | la_stack_det_from_ldlt | 0.6 ns [0.6 ns, 0.6 ns] | 0.6 ns [0.6 ns, 0.6 ns] | +0.0% | marginal CIs overlap | 1.00x | 0.5 ns [0.5 ns, 0.5 ns] | 0.7 ns [0.7 ns, 0.7 ns] | -| D=3 | la_stack_det_from_lu | 0.7 ns [0.7 ns, 0.7 ns] | 0.7 ns [0.7 ns, 0.7 ns] | +0.0% | marginal CIs overlap | 1.00x | 0.5 ns [0.5 ns, 0.5 ns] | 1.0 ns [1.0 ns, 1.0 ns] | -| D=3 | la_stack_det_via_lu | 8.7 ns [8.7 ns, 8.7 ns] | 8.7 ns [8.7 ns, 8.8 ns] | +0.4% | marginal CIs overlap | 1.00x | 17.8 ns [17.7 ns, 17.9 ns] | 162.9 ns [161.8 ns, 164.2 ns] | -| D=3 | la_stack_dot | 0.7 ns [0.7 ns, 0.7 ns] | 0.7 ns [0.7 ns, 0.7 ns] | +0.1% | marginal CIs overlap | 1.00x | 0.7 ns [0.7 ns, 0.7 ns] | 3.0 ns [3.0 ns, 3.0 ns] | -| D=3 | la_stack_inf_norm | 1.3 ns [1.3 ns, 1.3 ns] | 1.3 ns [1.3 ns, 1.3 ns] | +0.0% | marginal CIs overlap | 1.00x | 1.1 ns [1.1 ns, 1.1 ns] | 1.3 ns [1.2 ns, 1.3 ns] | -| D=3 | la_stack_ldlt | 13.4 ns [13.3 ns, 13.4 ns] | 13.6 ns [13.5 ns, 13.7 ns] | +1.6% | slower point estimate; marginal CIs separated | 0.98x | 3.9 ns [3.8 ns, 3.9 ns] | 108.2 ns [107.8 ns, 109.1 ns] | -| D=3 | la_stack_ldlt_solve | 12.5 ns [12.5 ns, 12.6 ns] | 18.3 ns [17.8 ns, 20.3 ns] | +45.7% | slower point estimate; marginal CIs separated | 0.69x | 5.6 ns [5.6 ns, 5.6 ns] | 155.4 ns [154.6 ns, 155.9 ns] | -| D=3 | la_stack_lu | 8.3 ns [8.3 ns, 8.3 ns] | 17.7 ns [16.7 ns, 18.4 ns] | +114.1% | slower point estimate; marginal CIs separated | 0.47x | 14.8 ns [14.7 ns, 14.8 ns] | 156.6 ns [155.4 ns, 158.0 ns] | -| D=3 | la_stack_lu_solve | 10.1 ns [10.0 ns, 10.2 ns] | 10.0 ns [9.9 ns, 10.0 ns] | -1.1% | faster point estimate; marginal CIs separated | 1.01x | 22.8 ns [22.7 ns, 23.0 ns] | 217.6 ns [216.2 ns, 219.0 ns] | -| D=3 | la_stack_norm2_sq | 0.4 ns [0.4 ns, 0.4 ns] | 0.4 ns [0.4 ns, 0.4 ns] | +0.1% | marginal CIs overlap | 1.00x | 0.4 ns [0.4 ns, 0.4 ns] | 4.1 ns [4.1 ns, 4.1 ns] | -| D=3 | la_stack_solve_from_ldlt | 1.8 ns [1.8 ns, 1.8 ns] | 1.8 ns [1.8 ns, 1.8 ns] | +0.0% | marginal CIs overlap | 1.00x | 2.7 ns [2.7 ns, 2.8 ns] | 45.8 ns [45.4 ns, 46.5 ns] | -| D=3 | la_stack_solve_from_lu | 2.1 ns [2.1 ns, 2.1 ns] | 2.1 ns [2.1 ns, 2.1 ns] | +0.1% | marginal CIs overlap | 1.00x | 4.5 ns [4.5 ns, 4.5 ns] | 56.7 ns [56.5 ns, 57.0 ns] | -| D=32 | la_stack_det | 2.18 µs [2.17 µs, 2.18 µs] | 2.17 µs [2.16 µs, 2.18 µs] | -0.5% | marginal CIs overlap | 1.01x | — | — | -| D=32 | la_stack_det_from_ldlt | 7.7 ns [7.7 ns, 7.7 ns] | 7.8 ns [7.7 ns, 7.8 ns] | +0.6% | slower point estimate; marginal CIs separated | 0.99x | 3.0 ns [3.0 ns, 3.0 ns] | 8.3 ns [8.2 ns, 8.3 ns] | -| D=32 | la_stack_det_from_lu | 9.1 ns [9.0 ns, 9.1 ns] | 9.0 ns [9.0 ns, 9.0 ns] | -0.1% | marginal CIs overlap | 1.00x | 3.1 ns [3.1 ns, 3.1 ns] | 8.6 ns [8.6 ns, 8.7 ns] | -| D=32 | la_stack_det_via_lu | 2.05 µs [2.04 µs, 2.05 µs] | 2.05 µs [2.04 µs, 2.06 µs] | +0.3% | marginal CIs overlap | 1.00x | 2.19 µs [2.19 µs, 2.20 µs] | 2.31 µs [2.30 µs, 2.32 µs] | -| D=32 | la_stack_dot | 4.0 ns [4.0 ns, 4.0 ns] | 4.0 ns [4.0 ns, 4.0 ns] | -0.1% | marginal CIs overlap | 1.00x | 4.7 ns [4.7 ns, 4.7 ns] | 4.9 ns [4.9 ns, 4.9 ns] | -| D=32 | la_stack_inf_norm | 127.0 ns [126.9 ns, 127.2 ns] | 127.6 ns [127.4 ns, 127.7 ns] | +0.5% | slower point estimate; marginal CIs separated | 0.99x | 158.5 ns [154.9 ns, 159.6 ns] | 163.6 ns [163.4 ns, 164.2 ns] | -| D=32 | la_stack_ldlt | 2.44 µs [2.43 µs, 2.44 µs] | 2.45 µs [2.45 µs, 2.45 µs] | +0.5% | slower point estimate; marginal CIs separated | 0.99x | 2.06 µs [2.05 µs, 2.06 µs] | 1.45 µs [1.45 µs, 1.46 µs] | -| D=32 | la_stack_ldlt_solve | 2.78 µs [2.77 µs, 2.79 µs] | 2.77 µs [2.76 µs, 2.79 µs] | -0.4% | marginal CIs overlap | 1.00x | 2.69 µs [2.69 µs, 2.69 µs] | 1.94 µs [1.94 µs, 1.94 µs] | -| D=32 | la_stack_lu | 2.11 µs [2.10 µs, 2.12 µs] | 2.12 µs [2.11 µs, 2.13 µs] | +0.4% | marginal CIs overlap | 1.00x | 2.14 µs [2.13 µs, 2.14 µs] | 2.26 µs [2.26 µs, 2.27 µs] | -| D=32 | la_stack_lu_solve | 2.78 µs [2.77 µs, 2.80 µs] | 2.76 µs [2.75 µs, 2.76 µs] | -1.0% | faster point estimate; marginal CIs separated | 1.01x | 2.71 µs [2.70 µs, 2.72 µs] | 2.92 µs [2.91 µs, 2.93 µs] | -| D=32 | la_stack_norm2_sq | 4.0 ns [4.0 ns, 4.0 ns] | 4.0 ns [4.0 ns, 4.0 ns] | +0.0% | marginal CIs overlap | 1.00x | 3.8 ns [3.8 ns, 3.8 ns] | 4.2 ns [4.2 ns, 4.2 ns] | -| D=32 | la_stack_solve_from_ldlt | 307.5 ns [307.0 ns, 307.8 ns] | 310.4 ns [309.5 ns, 311.1 ns] | +0.9% | slower point estimate; marginal CIs separated | 0.99x | 533.2 ns [531.2 ns, 534.3 ns] | 466.9 ns [466.3 ns, 467.6 ns] | -| D=32 | la_stack_solve_from_lu | 661.0 ns [660.0 ns, 662.2 ns] | 652.5 ns [650.7 ns, 653.7 ns] | -1.3% | faster point estimate; marginal CIs separated | 1.01x | 327.4 ns [327.0 ns, 327.8 ns] | 631.0 ns [629.5 ns, 632.5 ns] | -| D=4 | la_stack_det | 2.6 ns [2.6 ns, 2.6 ns] | 2.6 ns [2.6 ns, 2.6 ns] | +0.1% | slower point estimate; marginal CIs separated | 1.00x | — | — | -| D=4 | la_stack_det_from_ldlt | 0.8 ns [0.8 ns, 0.8 ns] | 0.8 ns [0.8 ns, 0.8 ns] | +0.0% | marginal CIs overlap | 1.00x | 0.5 ns [0.5 ns, 0.5 ns] | 1.0 ns [1.0 ns, 1.0 ns] | -| D=4 | la_stack_det_from_lu | 0.9 ns [0.9 ns, 0.9 ns] | 0.9 ns [0.9 ns, 0.9 ns] | +0.0% | marginal CIs overlap | 1.00x | 0.6 ns [0.6 ns, 0.6 ns] | 1.2 ns [1.2 ns, 1.2 ns] | -| D=4 | la_stack_det_via_lu | 14.4 ns [14.4 ns, 14.5 ns] | 14.5 ns [14.4 ns, 14.5 ns] | +0.1% | marginal CIs overlap | 1.00x | 30.0 ns [30.0 ns, 30.0 ns] | 179.5 ns [179.0 ns, 180.9 ns] | -| D=4 | la_stack_dot | 0.7 ns [0.7 ns, 0.7 ns] | 0.7 ns [0.7 ns, 0.7 ns] | +0.0% | marginal CIs overlap | 1.00x | 0.6 ns [0.6 ns, 0.6 ns] | 2.6 ns [2.6 ns, 2.7 ns] | -| D=4 | la_stack_inf_norm | 2.2 ns [2.2 ns, 2.2 ns] | 2.2 ns [2.2 ns, 2.2 ns] | +0.1% | marginal CIs overlap | 1.00x | 2.0 ns [2.0 ns, 2.0 ns] | 2.0 ns [2.0 ns, 2.0 ns] | -| D=4 | la_stack_ldlt | 21.1 ns [21.1 ns, 21.2 ns] | 21.3 ns [21.3 ns, 21.4 ns] | +0.8% | slower point estimate; marginal CIs separated | 0.99x | 7.5 ns [7.4 ns, 7.5 ns] | 126.4 ns [126.1 ns, 126.9 ns] | -| D=4 | la_stack_ldlt_solve | 22.9 ns [22.9 ns, 23.0 ns] | 38.6 ns [38.0 ns, 39.7 ns] | +68.2% | slower point estimate; marginal CIs separated | 0.59x | 10.4 ns [10.4 ns, 10.4 ns] | 172.6 ns [172.4 ns, 173.2 ns] | -| D=4 | la_stack_lu | 14.0 ns [13.9 ns, 14.0 ns] | 13.9 ns [13.8 ns, 13.9 ns] | -0.9% | faster point estimate; marginal CIs separated | 1.01x | 29.1 ns [29.1 ns, 29.2 ns] | 175.5 ns [174.3 ns, 176.3 ns] | -| D=4 | la_stack_lu_solve | 21.9 ns [21.9 ns, 22.0 ns] | 22.1 ns [22.1 ns, 22.1 ns] | +0.8% | slower point estimate; marginal CIs separated | 0.99x | 51.7 ns [51.5 ns, 51.9 ns] | 241.5 ns [239.3 ns, 243.2 ns] | -| D=4 | la_stack_norm2_sq | 0.5 ns [0.5 ns, 0.5 ns] | 0.5 ns [0.5 ns, 0.5 ns] | +0.1% | marginal CIs overlap | 1.00x | 0.5 ns [0.5 ns, 0.5 ns] | 4.1 ns [4.1 ns, 4.1 ns] | -| D=4 | la_stack_solve_from_ldlt | 2.5 ns [2.5 ns, 2.5 ns] | 2.5 ns [2.5 ns, 2.5 ns] | -0.0% | marginal CIs overlap | 1.00x | 5.3 ns [5.2 ns, 5.3 ns] | 44.8 ns [44.6 ns, 44.9 ns] | -| D=4 | la_stack_solve_from_lu | 4.0 ns [4.0 ns, 4.0 ns] | 3.9 ns [3.9 ns, 3.9 ns] | -1.8% | faster point estimate; marginal CIs separated | 1.02x | 5.7 ns [5.6 ns, 5.7 ns] | 59.9 ns [59.5 ns, 60.2 ns] | -| D=5 | la_stack_det | 39.4 ns [39.3 ns, 39.6 ns] | 40.6 ns [40.0 ns, 58.5 ns] | +2.9% | slower point estimate; marginal CIs separated | 0.97x | — | — | -| D=5 | la_stack_det_from_ldlt | 0.9 ns [0.9 ns, 0.9 ns] | 0.9 ns [0.9 ns, 0.9 ns] | +0.1% | marginal CIs overlap | 1.00x | 0.6 ns [0.6 ns, 0.6 ns] | 1.2 ns [1.2 ns, 1.2 ns] | -| D=5 | la_stack_det_from_lu | 1.1 ns [1.1 ns, 1.1 ns] | 1.1 ns [1.1 ns, 1.1 ns] | +0.1% | marginal CIs overlap | 1.00x | 0.7 ns [0.7 ns, 0.7 ns] | 1.5 ns [1.5 ns, 1.5 ns] | -| D=5 | la_stack_det_via_lu | 32.1 ns [32.0 ns, 32.3 ns] | 32.7 ns [32.6 ns, 32.7 ns] | +1.7% | slower point estimate; marginal CIs separated | 0.98x | 54.8 ns [54.7 ns, 54.9 ns] | 223.3 ns [221.9 ns, 224.9 ns] | -| D=5 | la_stack_dot | 0.8 ns [0.8 ns, 0.8 ns] | 0.8 ns [0.8 ns, 0.8 ns] | +5.2% | slower point estimate; marginal CIs separated | 0.95x | 0.7 ns [0.7 ns, 0.8 ns] | 2.8 ns [2.8 ns, 2.8 ns] | -| D=5 | la_stack_inf_norm | 3.4 ns [3.4 ns, 3.4 ns] | 3.5 ns [3.5 ns, 3.5 ns] | +1.9% | slower point estimate; marginal CIs separated | 0.98x | 3.2 ns [3.2 ns, 3.2 ns] | 3.2 ns [3.2 ns, 3.2 ns] | -| D=5 | la_stack_ldlt | 40.5 ns [40.4 ns, 40.6 ns] | 41.9 ns [41.6 ns, 42.3 ns] | +3.6% | slower point estimate; marginal CIs separated | 0.97x | 26.1 ns [25.1 ns, 26.5 ns] | 144.0 ns [143.6 ns, 144.6 ns] | -| D=5 | la_stack_ldlt_solve | 52.3 ns [51.9 ns, 52.5 ns] | 45.4 ns [45.3 ns, 45.5 ns] | -13.3% | faster point estimate; marginal CIs separated | 1.15x | 40.4 ns [40.3 ns, 40.4 ns] | 234.3 ns [231.2 ns, 246.0 ns] | -| D=5 | la_stack_lu | 32.0 ns [31.9 ns, 32.1 ns] | 32.3 ns [32.3 ns, 32.4 ns] | +1.0% | slower point estimate; marginal CIs separated | 0.99x | 55.1 ns [54.9 ns, 55.2 ns] | 217.7 ns [214.6 ns, 220.0 ns] | -| D=5 | la_stack_lu_solve | 44.3 ns [43.9 ns, 44.8 ns] | 46.1 ns [46.0 ns, 46.1 ns] | +4.0% | slower point estimate; marginal CIs separated | 0.96x | 69.0 ns [68.9 ns, 69.2 ns] | 326.8 ns [324.0 ns, 361.6 ns] | -| D=5 | la_stack_norm2_sq | 0.5 ns [0.5 ns, 0.5 ns] | 0.5 ns [0.5 ns, 0.5 ns] | +0.1% | slower point estimate; marginal CIs separated | 1.00x | 0.6 ns [0.6 ns, 0.6 ns] | 4.1 ns [4.1 ns, 4.1 ns] | -| D=5 | la_stack_solve_from_ldlt | 3.9 ns [3.9 ns, 3.9 ns] | 3.9 ns [3.9 ns, 3.9 ns] | +0.9% | slower point estimate; marginal CIs separated | 0.99x | 8.9 ns [8.8 ns, 8.9 ns] | 63.4 ns [63.3 ns, 63.6 ns] | -| D=5 | la_stack_solve_from_lu | 6.0 ns [6.0 ns, 6.0 ns] | 6.0 ns [6.0 ns, 6.0 ns] | -0.7% | faster point estimate; marginal CIs separated | 1.01x | 8.8 ns [8.8 ns, 8.8 ns] | 93.6 ns [91.6 ns, 95.0 ns] | -| D=64 | la_stack_det | 15.21 µs [15.17 µs, 15.25 µs] | 15.11 µs [15.05 µs, 15.16 µs] | -0.7% | faster point estimate; marginal CIs separated | 1.01x | — | — | -| D=64 | la_stack_det_from_ldlt | 22.6 ns [22.5 ns, 22.6 ns] | 22.8 ns [22.8 ns, 22.8 ns] | +1.0% | slower point estimate; marginal CIs separated | 0.99x | 8.2 ns [8.2 ns, 8.3 ns] | 20.2 ns [20.2 ns, 20.3 ns] | -| D=64 | la_stack_det_from_lu | 23.0 ns [22.9 ns, 23.0 ns] | 22.9 ns [22.9 ns, 23.0 ns] | -0.2% | marginal CIs overlap | 1.00x | 8.5 ns [8.5 ns, 8.6 ns] | 21.1 ns [21.1 ns, 21.2 ns] | -| D=64 | la_stack_det_via_lu | 15.21 µs [15.17 µs, 15.23 µs] | 15.03 µs [14.99 µs, 15.06 µs] | -1.1% | faster point estimate; marginal CIs separated | 1.01x | 13.41 µs [13.40 µs, 13.43 µs] | 10.55 µs [10.55 µs, 10.56 µs] | -| D=64 | la_stack_dot | 10.7 ns [10.6 ns, 10.7 ns] | 10.8 ns [10.8 ns, 10.8 ns] | +1.4% | slower point estimate; marginal CIs separated | 0.99x | 8.9 ns [8.9 ns, 8.9 ns] | 8.3 ns [8.3 ns, 8.3 ns] | -| D=64 | la_stack_inf_norm | 612.7 ns [612.2 ns, 614.1 ns] | 611.1 ns [610.2 ns, 613.2 ns] | -0.3% | marginal CIs overlap | 1.00x | 1.09 µs [1.08 µs, 1.09 µs] | 1.54 µs [1.54 µs, 1.54 µs] | -| D=64 | la_stack_ldlt | 19.64 µs [19.60 µs, 19.65 µs] | 20.87 µs [20.81 µs, 20.91 µs] | +6.3% | slower point estimate; marginal CIs separated | 0.94x | 11.48 µs [11.46 µs, 11.50 µs] | 8.81 µs [8.79 µs, 8.82 µs] | -| D=64 | la_stack_ldlt_solve | 21.85 µs [21.79 µs, 21.90 µs] | 23.16 µs [23.08 µs, 23.26 µs] | +6.0% | slower point estimate; marginal CIs separated | 0.94x | 12.12 µs [12.09 µs, 12.14 µs] | 10.15 µs [10.13 µs, 10.16 µs] | -| D=64 | la_stack_lu | 15.02 µs [14.99 µs, 15.03 µs] | 14.42 µs [14.40 µs, 14.44 µs] | -4.0% | faster point estimate; marginal CIs separated | 1.04x | 12.93 µs [12.91 µs, 12.94 µs] | 10.41 µs [10.40 µs, 10.43 µs] | -| D=64 | la_stack_lu_solve | 17.22 µs [17.16 µs, 17.44 µs] | 17.52 µs [17.36 µs, 17.56 µs] | +1.7% | marginal CIs overlap | 0.98x | 14.31 µs [14.30 µs, 14.35 µs] | 12.11 µs [12.09 µs, 12.12 µs] | -| D=64 | la_stack_norm2_sq | 10.6 ns [10.6 ns, 10.7 ns] | 10.8 ns [10.7 ns, 10.8 ns] | +1.3% | slower point estimate; marginal CIs separated | 0.99x | 7.5 ns [7.5 ns, 7.5 ns] | 6.2 ns [6.2 ns, 6.2 ns] | -| D=64 | la_stack_solve_from_ldlt | 1.46 µs [1.45 µs, 1.46 µs] | 1.08 µs [1.07 µs, 1.08 µs] | -26.1% | faster point estimate; marginal CIs separated | 1.35x | 1.25 µs [1.24 µs, 1.25 µs] | 1.26 µs [1.26 µs, 1.27 µs] | -| D=64 | la_stack_solve_from_lu | 2.52 µs [2.51 µs, 2.52 µs] | 2.47 µs [2.47 µs, 2.48 µs] | -1.7% | faster point estimate; marginal CIs separated | 1.02x | 793.3 ns [792.9 ns, 793.9 ns] | 1.67 µs [1.67 µs, 1.68 µs] | -| D=8 | la_stack_det | 90.7 ns [90.5 ns, 91.0 ns] | 90.5 ns [90.3 ns, 90.6 ns] | -0.3% | marginal CIs overlap | 1.00x | — | — | -| D=8 | la_stack_det_from_ldlt | 1.3 ns [1.3 ns, 1.3 ns] | 1.3 ns [1.3 ns, 1.3 ns] | -0.0% | marginal CIs overlap | 1.00x | 0.9 ns [0.9 ns, 0.9 ns] | 1.9 ns [1.9 ns, 1.9 ns] | -| D=8 | la_stack_det_from_ldlt_balanced_range | 8.9 ns [8.9 ns, 8.9 ns] | 8.9 ns [8.9 ns, 9.0 ns] | +0.4% | slower point estimate; marginal CIs separated | 1.00x | — | — | -| D=8 | la_stack_det_from_lu | 1.5 ns [1.5 ns, 1.5 ns] | 1.5 ns [1.5 ns, 1.5 ns] | +0.3% | slower point estimate; marginal CIs separated | 1.00x | 1.0 ns [1.0 ns, 1.0 ns] | 2.2 ns [2.2 ns, 2.2 ns] | -| D=8 | la_stack_det_from_lu_balanced_range | 9.7 ns [9.7 ns, 9.8 ns] | 9.1 ns [9.0 ns, 9.2 ns] | -6.4% | faster point estimate; marginal CIs separated | 1.07x | — | — | -| D=8 | la_stack_det_via_lu | 84.1 ns [83.9 ns, 84.4 ns] | 84.6 ns [84.3 ns, 85.0 ns] | +0.6% | marginal CIs overlap | 0.99x | 144.2 ns [143.9 ns, 144.6 ns] | 294.0 ns [292.1 ns, 294.7 ns] | -| D=8 | la_stack_dot | 0.9 ns [0.9 ns, 0.9 ns] | 1.0 ns [1.0 ns, 1.0 ns] | +3.2% | slower point estimate; marginal CIs separated | 0.97x | 1.1 ns [1.1 ns, 1.1 ns] | 2.6 ns [2.6 ns, 2.7 ns] | -| D=8 | la_stack_inf_norm | 8.4 ns [8.4 ns, 8.4 ns] | 8.4 ns [8.4 ns, 8.4 ns] | -0.1% | marginal CIs overlap | 1.00x | 8.0 ns [8.0 ns, 8.0 ns] | 8.0 ns [8.0 ns, 8.1 ns] | -| D=8 | la_stack_ldlt | 90.7 ns [89.7 ns, 92.3 ns] | 90.5 ns [88.6 ns, 91.4 ns] | -0.2% | marginal CIs overlap | 1.00x | 97.7 ns [97.3 ns, 98.1 ns] | 215.2 ns [214.5 ns, 216.1 ns] | -| D=8 | la_stack_ldlt_ill_conditioned | 91.2 ns [89.9 ns, 92.6 ns] | 90.3 ns [88.8 ns, 91.4 ns] | -1.0% | marginal CIs overlap | 1.01x | — | — | -| D=8 | la_stack_ldlt_solve | 100.9 ns [100.6 ns, 101.1 ns] | 99.3 ns [98.9 ns, 99.5 ns] | -1.6% | faster point estimate; marginal CIs separated | 1.02x | 142.0 ns [134.5 ns, 144.4 ns] | 296.7 ns [291.9 ns, 300.7 ns] | -| D=8 | la_stack_lu | 82.2 ns [82.0 ns, 82.4 ns] | 82.9 ns [82.6 ns, 83.3 ns] | +0.9% | slower point estimate; marginal CIs separated | 0.99x | 144.0 ns [143.7 ns, 144.5 ns] | 275.8 ns [273.4 ns, 277.3 ns] | -| D=8 | la_stack_lu_ill_conditioned | 81.9 ns [81.5 ns, 82.1 ns] | 82.3 ns [82.2 ns, 82.6 ns] | +0.6% | slower point estimate; marginal CIs separated | 0.99x | — | — | -| D=8 | la_stack_lu_pivoting | 90.8 ns [90.6 ns, 90.9 ns] | 90.4 ns [90.2 ns, 90.7 ns] | -0.4% | marginal CIs overlap | 1.00x | — | — | -| D=8 | la_stack_lu_solve | 137.4 ns [135.7 ns, 143.1 ns] | 128.4 ns [128.2 ns, 128.7 ns] | -6.5% | faster point estimate; marginal CIs separated | 1.07x | 165.9 ns [164.8 ns, 168.9 ns] | 401.4 ns [396.0 ns, 407.1 ns] | -| D=8 | la_stack_norm2_sq | 0.7 ns [0.7 ns, 0.7 ns] | 0.7 ns [0.7 ns, 0.7 ns] | +0.4% | marginal CIs overlap | 1.00x | 0.7 ns [0.7 ns, 0.7 ns] | 4.2 ns [4.2 ns, 4.2 ns] | -| D=8 | la_stack_solve_from_ldlt | 8.1 ns [8.1 ns, 8.1 ns] | 8.0 ns [8.0 ns, 8.1 ns] | -0.4% | faster point estimate; marginal CIs separated | 1.00x | 21.0 ns [21.0 ns, 21.0 ns] | 71.1 ns [70.8 ns, 71.1 ns] | -| D=8 | la_stack_solve_from_lu | 13.3 ns [13.3 ns, 13.3 ns] | 13.5 ns [13.5 ns, 13.5 ns] | +1.2% | slower point estimate; marginal CIs separated | 0.99x | 16.0 ns [15.9 ns, 16.0 ns] | 99.5 ns [99.0 ns, 99.6 ns] | +### Current phase -## Coverage Notes - -One-sided rows retain the available measurement but are excluded from point-estimate change and ratio calculations. - -| Benchmark | Coverage | v0.4.5 (point + CI) | Latest (point + CI) | Note | -|:----------|:---------|-----------------------------:|--------------------:|:-----| -| rational_input_d2/det_big_rational_gaussian | current-only | — | 1.18 µs [1.18 µs, 1.18 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d2/det_row_cleared_bareiss | current-only | — | 191.3 ns [190.9 ns, 192.0 ns] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d2/det_sign_row_cleared_bareiss | current-only | — | 82.3 ns [82.2 ns, 82.4 ns] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d2/solve_big_rational_gaussian | current-only | — | 2.22 µs [2.22 µs, 2.22 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d2/solve_row_cleared_bareiss | current-only | — | 967.5 ns [966.5 ns, 968.2 ns] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d3/det_big_rational_gaussian | current-only | — | 4.89 µs [4.88 µs, 4.90 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d3/det_row_cleared_bareiss | current-only | — | 578.6 ns [578.0 ns, 579.1 ns] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d3/det_sign_row_cleared_bareiss | current-only | — | 368.6 ns [367.8 ns, 369.6 ns] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d3/solve_big_rational_gaussian | current-only | — | 8.44 µs [8.43 µs, 8.46 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d3/solve_row_cleared_bareiss | current-only | — | 2.50 µs [2.49 µs, 2.51 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d4/det_big_rational_gaussian | current-only | — | 14.16 µs [14.14 µs, 14.19 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d4/det_row_cleared_bareiss | current-only | — | 1.17 µs [1.16 µs, 1.17 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d4/det_sign_row_cleared_bareiss | current-only | — | 769.1 ns [767.2 ns, 770.7 ns] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d4/solve_big_rational_gaussian | current-only | — | 24.94 µs [24.90 µs, 24.98 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d4/solve_row_cleared_bareiss | current-only | — | 5.51 µs [5.51 µs, 5.52 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d5/det_big_rational_gaussian | current-only | — | 24.97 µs [24.55 µs, 25.75 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d5/det_row_cleared_bareiss | current-only | — | 2.15 µs [2.15 µs, 2.16 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d5/det_sign_row_cleared_bareiss | current-only | — | 1.58 µs [1.58 µs, 1.59 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d5/solve_big_rational_gaussian | current-only | — | 41.11 µs [41.07 µs, 41.14 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d5/solve_row_cleared_bareiss | current-only | — | 9.67 µs [9.64 µs, 9.72 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d6/det_big_rational_gaussian | current-only | — | 57.91 µs [57.84 µs, 58.02 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d6/det_row_cleared_bareiss | current-only | — | 3.75 µs [3.75 µs, 3.76 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d6/det_sign_row_cleared_bareiss | current-only | — | 3.10 µs [3.09 µs, 3.10 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d6/solve_big_rational_gaussian | current-only | — | 92.50 µs [92.35 µs, 92.60 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d6/solve_row_cleared_bareiss | current-only | — | 18.03 µs [18.01 µs, 18.05 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d7/det_big_rational_gaussian | current-only | — | 112.35 µs [112.25 µs, 112.50 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d7/det_row_cleared_bareiss | current-only | — | 6.15 µs [6.14 µs, 6.16 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d7/det_sign_row_cleared_bareiss | current-only | — | 5.30 µs [5.29 µs, 5.31 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d7/solve_big_rational_gaussian | current-only | — | 165.07 µs [164.88 µs, 165.48 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d7/solve_row_cleared_bareiss | current-only | — | 29.46 µs [29.44 µs, 29.50 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d8/det_big_rational_gaussian | current-only | — | 194.98 µs [193.24 µs, 197.90 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d8/det_row_cleared_bareiss | current-only | — | 9.31 µs [9.29 µs, 9.33 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d8/det_sign_row_cleared_bareiss | current-only | — | 8.47 µs [8.46 µs, 8.48 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d8/solve_big_rational_gaussian | current-only | — | 272.40 µs [272.07 µs, 272.65 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | -| rational_input_d8/solve_row_cleared_bareiss | current-only | — | 43.37 µs [43.31 µs, 43.43 µs] | Baseline v0.4.5 has no correctness-compatible benchmark row under la_stack_pre_rational_input_api. | - -## How to Update - -Local performance reports are generated in isolated temporary worktrees: - -```bash -# Local development: compare the current tree with the latest release -just performance-local - -# Release PR: update docs/performance.md and archive the previous report -just performance-release - -# Build release docs from retained CSV/JSON inputs (no benchmarks) -just performance-doc - -# GitHub Actions release assets -just performance-github-assets - -# Explicit repair -just performance-release -``` - -`just performance-local` writes `performance.md` plus retained `performance.csv` and -`performance.provenance.json` comparison inputs under `target/bench-reports/` without promoting documentation. -It applies staged and unstaged tracked changes; untracked files are excluded. -`just performance-github-assets` writes `target/bench-reports/github-assets-performance.md`. -`just performance-release` also preserves every recorded local benchmark summary and the report inputs under -`docs/performance/-vs-//`, then promotes distinct-release documentation. -`just performance-doc` consumes the retained pair from either workflow without benchmarking and promotes it when the package versions differ. -After `just clean`, `performance-doc` and `performance-readme` use the latest complete snapshot in `docs/performance/`. -For a distinct pair, `performance-local` followed by `performance-doc` is equivalent to the atomic `performance-release` workflow. - -See the [local summary index](https://github.com/acgetchell/la-stack/tree/main/docs/performance) -for the saved-data schema, provenance, and historical availability. -Older curated release-to-release reports are archived in `docs/archive/performance/`. - -See `docs/BENCHMARKING.md` for the full comparison workflow. +| Field | Recorded value | +| --- | --- | +| Release | v0.5.0 | +| Revision | 51868ea4725c1a4790bba4c59341d2113b18b2bb | +| Measurement mode | working-tree | +| Original source SHA-256 | 1d876cd1476f52283a2f9dbf1bdbf46baec54b86834115f1eddefee601ad6b68 | +| Measured source SHA-256 | 1d876cd1476f52283a2f9dbf1bdbf46baec54b86834115f1eddefee601ad6b68 | +| Common harness SHA-256 | bdb17ee72a8f6482ab66fbd92781bba3137a02c528302068f1c3119dc547b17d | +| Fingerprint schema | research-repo-tools/files/v1 | +| OS | macOS-27.0.1-arm64-arm-64bit-Mach-O | +| Architecture | arm64 | +| CPU | Apple M4 Max (arm64) | +| Physical cores | 16 | +| Logical threads | 16 | +| Memory (bytes) | 68719476736 | +| Tool: cargo | cargo 1.99.0 (5f94df478 2026-08-27) | +| Tool: just | just 1.58.0 | +| Tool: rustc | rustc 1.99.0 (b940084d7 2026-09-28)
binary: rustc
commit-hash: b940084d7eb6a299eb4bfeb8e34901bc051e7ac4
commit-date: 2026-09-28
host: aarch64-apple-darwin
release: 1.99.0
LLVM version: 23.1.1 | +| Dependency: criterion | 0.8.2 | +| Dependency: faer | 0.24.4 | +| Dependency: nalgebra | 0.35.0 | +| Environment overrides (names only) | CARGO_TARGET_DIR, CRITERION_HOME, RUSTFLAGS, RUSTUP_TOOLCHAIN | +| Measurement command (argv) | ["just", "--justfile", "tooling/performance.just", "--working-directory", ".", "current-all"] | +| Independent correctness gate | passed | +| Gate command (argv) | ["just", "--justfile", "tooling/performance.just", "--working-directory", ".", "gate"] | diff --git a/pyproject.toml b/pyproject.toml index 173908c..0f0f7e3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -97,10 +97,10 @@ dev = [ { include-group = "tooling" }, "actionlint-py==1.7.12.25", "pytest==9.1.1", - "ruff==0.17.0", + "ruff==0.17.1", "shellcheck-py==0.11.0.1", "shfmt-py==4.2.0", - "ty==0.0.87", + "ty==0.0.89", "yamllint==1.38.0", ] @@ -123,7 +123,7 @@ rumdl = "0.2.79" sarif-fmt = "0.8.0" taplo-cli = "0.10.0" typos-cli = "1.51.1" -zizmor = "1.30.1" +zizmor = "1.31.1" [tool.research-repo-tools.changelog] owner = "acgetchell" diff --git a/scripts/README.md b/scripts/README.md index b9fc74d..89dd4a3 100644 --- a/scripts/README.md +++ b/scripts/README.md @@ -58,6 +58,11 @@ release comparisons. `performance-readme` and `plot-vs-linalg` use the shared complete-run SVG, CSV and table renderers. The former preserves current source/harness membership and digests and advances the three existing measured-artifact pointers transactionally. +README candidates pass the shared Markdown formatter with repository policy +before any publication files are replaced. +The README adapter labels dimensions, keeps each confidence interval below its +timing, states the confidence level once, and selects the shared speedup columns. +Timing estimates and comparison arithmetic remain owned by the shared renderer. ```bash just performance-release diff --git a/scripts/archive_performance.py b/scripts/archive_performance.py index cae26b7..8cf27d4 100644 --- a/scripts/archive_performance.py +++ b/scripts/archive_performance.py @@ -19,6 +19,7 @@ from research_repo_tools.complete_runs import render_run, run_identity from research_repo_tools.evidence import Evidence, serialize_evidence from research_repo_tools.measurement import resolve_revision +from research_repo_tools.postprocess_changelog import MarkdownFormatError, format_markdown from research_repo_tools.process import ExecutableNotFoundError, format_exception_diagnostics, run_command from research_repo_tools.publication import GitCheck, GlobCheck, MarkerPair, RunSelectionCheck, plan_outputs, publish_publication, replace_section from research_repo_tools.release_assets import download_release_asset @@ -73,7 +74,7 @@ def measure(root: Path, pair: ReleasePair, suite: str, scope: str) -> Evidence: # The existing consumer contract deliberately excludes untracked files. run_command("git", ["--no-pager", "fetch", "origin", f"refs/tags/{pair.baseline}:refs/tags/{pair.baseline}"], cwd=root) baseline_revision = resolve_revision(root, pair.baseline) - parent = Path(tempfile.mkdtemp(prefix="la-stack-performance-")) + parent = Path(tempfile.mkdtemp(prefix="la-stack-performance-")).resolve(strict=True) try: with ( temporary_worktree(root, parent / "baseline", baseline_revision, allow_git_mutations=True) as baseline, @@ -272,6 +273,38 @@ def _asset_links(document: bytes, *, metric: str, statistic: str, release: str) return pattern.sub(lambda match: match["prefix"] + release.encode() + match["asset"], document) +def _readme_table(evidence: Evidence, layout: RunLayout) -> str: + """Adapt shared timing/comparison cells to the compact README presentation.""" + rendered = render_run_table(evidence, layout).replace(" (0.95 confidence)", "") + lines = [] + for line in rendered.splitlines(): + output_line = line + if line.startswith("| "): + cells = line[2:-2].split(" | ") + if len(cells) != 8: + msg = "README comparison requires three timing and two comparison pairs" + raise ValueError(msg) + if cells[0] == "Case": + cells = ["Dimension", "la-stack", "nalgebra", "faer", "Speedup vs nalgebra", "Speedup vs faer"] + else: + if cells[0] != "---": + for index in (1, 2, 3): + cells[index] = cells[index].replace(" ns [", "
[", 1) + for index in (4, 6): + cells[index] += "\N{MULTIPLICATION SIGN}" + cells = [cells[index] for index in (0, 1, 2, 3, 4, 6)] + output_line = "| " + " | ".join(cells) + " |" + elif line.startswith("Intervals are recorded marginal timing intervals;"): + output_line = ( + f"{layout.statistic.capitalize()} time in ns; brackets show the lower and upper bounds of the **95% confidence interval**.\n" + "Speedups are ratios of point estimates; no ratio intervals or significance claims are inferred." + ) + elif line.startswith("Time reduction is 100"): + continue + lines.append(output_line) + return "\n".join(lines) + "\n" + + def publish_plot(root: Path, metric: str, statistic: Literal["mean", "median"], *, log_y: bool, update_readme: bool) -> None: """Retain original phases, enforce scientific eligibility, and publish once.""" # The report registry imports only the independent benchmark catalog. @@ -329,9 +362,14 @@ def publish_plot(root: Path, metric: str, statistic: Literal["mean", "median"], markers = MarkerPair(f"", f"") document = (root / "README.md").read_bytes() git_checks = (GitCheck(context["release"], tuple(outputs), allow_missing=True),) - outputs["README.md"] = _asset_links( - replace_section(document, markers, render_run_table(evidence, layout)), metric=metric, statistic=statistic, release=context["release"] - ) + inputs["pyproject.toml"] = (root / "pyproject.toml").read_bytes() + outputs["README.md"] = format_markdown( + _asset_links( + replace_section(document, markers, _readme_table(evidence, layout)), metric=metric, statistic=statistic, release=context["release"] + ).decode("utf-8"), + root / "README.md", + root / "pyproject.toml", + ).encode("utf-8") plan = plan_outputs(root, outputs, inputs=inputs) if update_readme and dict(plan.originals)["README.md"] != document: msg = "README changed during rendering" @@ -363,7 +401,7 @@ def dimension_main(argv: list[str] | None = None) -> int: try: publish_plot(_repo_root(), args.metric, args.stat, log_y=args.log_y, update_readme=args.update_readme) return 0 - except (OSError, ValueError, TypeError, KeyError, ExecutableNotFoundError, subprocess.SubprocessError, ExceptionGroup) as error: + except (OSError, ValueError, TypeError, KeyError, MarkdownFormatError, ExecutableNotFoundError, subprocess.SubprocessError, ExceptionGroup) as error: print(f"dimension publication: {format_exception_diagnostics(error)}", file=sys.stderr) return 2 diff --git a/scripts/tests/test_performance_workflow.py b/scripts/tests/test_performance_workflow.py index f8f575c..32538c4 100644 --- a/scripts/tests/test_performance_workflow.py +++ b/scripts/tests/test_performance_workflow.py @@ -9,6 +9,7 @@ import subprocess import sys import tarfile +import tomllib from dataclasses import replace from pathlib import Path from typing import TYPE_CHECKING @@ -20,6 +21,7 @@ from research_repo_tools.criterion import parse_comparison from research_repo_tools.just_inspect import dry_run from research_repo_tools.legacy_evidence import convert_csv +from research_repo_tools.postprocess_changelog import MarkdownFormatError from research_repo_tools.process import ExecutableNotFoundError, run_command from research_repo_tools.release_pairs import ReleasePair @@ -68,6 +70,7 @@ def prepared(tmp_path: Path, fault: str = "") -> tuple[Path, Path, CommonHarness for phase in ("baseline", "current"): root = tmp_path / phase root.mkdir(parents=True) + shutil.copyfile(ROOT / "pyproject.toml", root / "pyproject.toml") (root / "src").mkdir() (root / "src/lib.rs").write_text(f"// {phase}\n", encoding="utf-8") for pattern in policy.configuration(ROOT).harness: @@ -75,6 +78,12 @@ def prepared(tmp_path: Path, fault: str = "") -> tuple[Path, Path, CommonHarness destination = root / source.relative_to(ROOT) destination.parent.mkdir(parents=True, exist_ok=True) shutil.copyfile(source, destination) + # The synthetic release pair stays fixed when the real crate advances. + manifest = root / "Cargo.toml" + contents = manifest.read_text(encoding="utf-8") + version = tomllib.loads(contents)["package"]["version"] + contents = contents.replace(f'version = "{version}"', f'version = "{PAIR.current.removeprefix("v")}"', 1) + manifest.write_text(contents, encoding="utf-8") (root / "tooling/fixture.py").write_text(f"INVENTORIES = {inventories!r}\n" + DRIVER, encoding="utf-8") (root / "tooling/performance.just").write_text( "\n".join( @@ -149,6 +158,57 @@ def test_common_harness_and_reference_phase(tmp_path: Path) -> None: assert all(sample.policy.statistics == ("mean", "median") for _, sample in run.phases) +def test_measurement_worktrees_accept_an_aliased_system_temporary_directory(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> None: + """Canonicalize owned temporary paths before the native worktree safety check.""" + root = tmp_path.resolve() / "repository" + root.mkdir() + (root / "Cargo.toml").write_text('[package]\nname = "fixture"\nversion = "0.4.6"\n', encoding="utf-8") + run_command("git", ["--no-pager", "init", "--quiet"], cwd=root) + run_command("git", ["--no-pager", "add", "Cargo.toml"], cwd=root) + run_command( + "git", + [ + "--no-pager", + "-c", + "user.name=Fixture", + "-c", + "user.email=fixture@example.invalid", + "-c", + "commit.gpgsign=false", + "commit", + "--quiet", + "-m", + "fixture", + ], + cwd=root, + ) + run_command("git", ["--no-pager", "-c", "tag.gpgsign=false", "tag", PAIR.baseline], cwd=root) + run_command("git", ["--no-pager", "remote", "add", "origin", str(root)], cwd=root) + physical = tmp_path.resolve() / "temporary" + physical.mkdir() + alias = tmp_path.resolve() / "temporary-alias" + if sys.platform == "win32": + run_command("cmd", ["/c", "mklink", "/J", str(alias), str(physical)], cwd=tmp_path) + else: + alias.symlink_to(physical, target_is_directory=True) + monkeypatch.setattr(workflow.tempfile, "tempdir", str(alias)) + monkeypatch.setattr(workflow, "measurement_plan", lambda *_args: object()) + + def benchmark_ready(baseline: Path, current: Path, _plan: object, _pair: ReleasePair, *, working_tree: bool) -> Evidence: + assert working_tree + for checkout in (baseline, current): + assert checkout.is_dir() + assert not any(path.is_symlink() or path.is_junction() for path in (checkout, *checkout.parents)) + assert (checkout / "Cargo.toml").read_bytes() == (root / "Cargo.toml").read_bytes() + msg = "native worktrees ready" + raise RuntimeError(msg) + + monkeypatch.setattr(workflow, "measure_prepared_pair", benchmark_ready) + with pytest.raises(RuntimeError, match="native worktrees ready"): + workflow.measure(root, PAIR, "all", "release-signal") + assert list(physical.iterdir()) == [] + + @pytest.mark.parametrize("fault", ["gate", "stale", "missing-row", "missing-statistic", "missing-sample"]) def test_declared_gates_and_completeness_fail_closed(tmp_path: Path, fault: str) -> None: baseline, current, plan = prepared(tmp_path, fault) @@ -240,6 +300,15 @@ def test_readme_uses_original_reference_phases_after_cleanup(complete_run: tuple monkeypatch.chdir(root.parent) arguments = ["--update-readme", "--log-y"] assert plot.dimension_main(arguments) == 0 + readme = (root / "README.md").read_text(encoding="utf-8") + table = readme.split("", 1)[1].split("", 1)[0] + assert "| Dimension | la-stack | nalgebra | faer | Speedup vs nalgebra | Speedup vs faer |" in table + assert "(0.95 confidence)" not in table + assert table.count("95% confidence interval") == 1 + assert "Median time in ns; brackets show the lower and upper bounds" in table + assert "8
[7.2, 8.8]" in table + assert "1.25\N{MULTIPLICATION SIGN}" in table + assert "time reduction" not in table assets = root / "docs/assets/bench" csv = assets / "vs_linalg_lu_solve_median.csv" import csv as csv_module # noqa: PLC0415 @@ -291,10 +360,11 @@ def test_readme_uses_original_reference_phases_after_cleanup(complete_run: tuple (ExecutableNotFoundError("Git executable not found"), "Git executable not found"), (subprocess.CalledProcessError(128, ["git"], stderr=b"fatal: repository unavailable"), "fatal: repository unavailable"), (subprocess.TimeoutExpired(["git"], 30), "command timed out after 30 seconds"), + (MarkdownFormatError("README formatter failed"), "README formatter failed"), ], - ids=["missing-git", "git-failure", "git-timeout"], + ids=["missing-git", "git-failure", "git-timeout", "markdown-format-failure"], ) -def test_plot_git_failure_preserves_publication( +def test_plot_failure_preserves_publication( complete_run: tuple[Path, Evidence], monkeypatch: pytest.MonkeyPatch, capsys: pytest.CaptureFixture[str], error: Exception, diagnostic: str ) -> None: root, evidence = complete_run @@ -308,10 +378,13 @@ def test_plot_git_failure_preserves_publication( (assets / f"vs_linalg_lu_solve_median{suffix}").write_bytes(b"previous artifact\n") before = {path: path.read_bytes() for path in (*assets.iterdir(), root / "README.md")} - def fail_git(*_args: object, **_kwargs: object) -> None: + def fail_before_publication(*_args: object, **_kwargs: object) -> None: raise error - monkeypatch.setattr(publication, "run_git_bytes", fail_git) + if isinstance(error, MarkdownFormatError): + monkeypatch.setattr(plot, "format_markdown", fail_before_publication) + else: + monkeypatch.setattr(publication, "run_git_bytes", fail_before_publication) monkeypatch.setattr(plot, "_repo_root", lambda: root) assert plot.dimension_main(["--update-readme"]) == 2 output = capsys.readouterr() @@ -459,11 +532,14 @@ def test_complete_report_passes_markdown_recipes_without_rewriting_history(compl workflow.promote(root, stem) # Exercise the real recipes against generated, nonignored Markdown in a # disposable checkout, reusing the already locked test environment. - for name in ("pyproject.toml", "uv.lock", ".python-version"): + for name in ("uv.lock", ".python-version"): shutil.copyfile(ROOT / name, root / name) + shutil.copyfile(ROOT / "README.md", root / "README.md") + workflow.publish_plot(root, "lu_solve", "median", log_y=True, update_readme=True) history = root / policy.archive_directory(root) originals = {path: path.read_bytes() for path in history.rglob("*") if path.is_file()} originals[root / "docs/performance.md"] = (root / "docs/performance.md").read_bytes() + originals[root / "README.md"] = (root / "README.md").read_bytes() for recipe in ("markdown-check", "markdown-fix", "markdown-check"): result = run_command( "just", @@ -553,7 +629,7 @@ def test_native_inventory_and_phase_commands_use_the_measured_checkout(tmp_path: cargo.write_text( "#!/bin/sh\n" "directory=$(pwd -W 2>/dev/null || pwd -P)\n" - 'printf "%s|%s\\n" "$directory" "$*" >> "$CARGO_RECORD"\n' + 'printf "%s|%s|%s\\n" "$directory" "$CRITERION_HOME" "$*" >> "$CARGO_RECORD"\n' 'case "$*" in\n' f' *"--bench exact"*) printf "%s: benchmark\\n" {shlex.join(exact)} ;;\n' f' *"la_stack --noplot"*) printf "%s: benchmark\\n" {shlex.join(current_ids)} ;;\n' @@ -566,6 +642,7 @@ def test_native_inventory_and_phase_commands_use_the_measured_checkout(tmp_path: record = tmp_path / "commands.txt" monkeypatch.setenv("PATH", f"{binary}{os.pathsep}{os.environ['PATH']}") monkeypatch.setenv("CARGO_RECORD", str(record)) + monkeypatch.setenv("CRITERION_HOME", "target/criterion") monkeypatch.chdir(tmp_path) pair = ReleasePair("v0.4.6", baseline_tag) plan = policy.measurement_plan(root, pair, "all", scope) @@ -585,10 +662,18 @@ def test_native_inventory_and_phase_commands_use_the_measured_checkout(tmp_path: run_command(command[0], command[1:], cwd=root) lines = record.read_text(encoding="utf-8").splitlines() assert len(lines) == 9 - for line in lines: - directory, separator, arguments = line.partition("|") - assert separator == "|" + for index, line in enumerate(lines): + directory, criterion_home, arguments = line.split("|", 2) assert Path(directory).samefile(root) + output = Path(criterion_home) + assert output.is_absolute() + if index < 4: + # Discovery supplies its own disposable absolute output tree. + assert not output.is_relative_to(root) + else: + # Cargo runs comparison benches from their workspace member, so + # every benchmark process must receive the same absolute tree. + assert output == root / "target/criterion" assert "--locked" in arguments.split() assert all("--list" in line for line in lines[:4]) assert all("--list" not in line for line in lines[4:]) diff --git a/tooling/performance.just b/tooling/performance.just index 6e8e04a..6b58ba5 100644 --- a/tooling/performance.just +++ b/tooling/performance.just @@ -1,6 +1,10 @@ # Captured native commands run in the measured checkout with its phase environment. # Pass "list" to discover Criterion IDs without collecting samples. +# Cargo runs benches from each package root, including benches/comparison. +# Resolve the shared output tree before those working directories change. +export CRITERION_HOME := absolute_path(env("CRITERION_HOME", "target/criterion")) + baseline-all mode="measure": (baseline-vs_linalg mode) (baseline-exact mode) baseline-exact mode="measure": diff --git a/tooling/performance.toml b/tooling/performance.toml index 8dac4cb..b8573b2 100644 --- a/tooling/performance.toml +++ b/tooling/performance.toml @@ -15,7 +15,8 @@ harness = [ "tooling/performance.just", "tooling/criterion-inventory.toml", ] -timeout = 7200 +# Each timing command can combine the full 150-minute and 90-minute suites. +timeout = 14400 compatible = [ "harness_sha256", "context.os", diff --git a/tooling/semgrep/pyproject.toml b/tooling/semgrep/pyproject.toml index 01e51e8..e40f837 100644 --- a/tooling/semgrep/pyproject.toml +++ b/tooling/semgrep/pyproject.toml @@ -8,3 +8,5 @@ dependencies = [ "semgrep==1.180.0" ] package = false # Semgrep's sdist does not bundle its required native engine. no-build-package = [ "semgrep" ] +# Semgrep pins vulnerable MCP 1.29.0; retain the patched 1.x API until upstream updates. +override-dependencies = [ "mcp>=1.30.0,<2" ] diff --git a/tooling/semgrep/uv.lock b/tooling/semgrep/uv.lock index c716ebf..8277507 100644 --- a/tooling/semgrep/uv.lock +++ b/tooling/semgrep/uv.lock @@ -2,6 +2,9 @@ version = 1 revision = 5 requires-python = "==3.14.*" +[manifest] +overrides = [{ name = "mcp", specifier = ">=1.30.0,<2" }] + [[package]] name = "annotated-types" version = "0.8.0" @@ -419,7 +422,7 @@ wheels = [ [[package]] name = "mcp" -version = "1.29.0" +version = "1.30.0" source = { registry = "https://pypi.org/simple" } dependencies = [ { name = "anyio" }, @@ -437,9 +440,9 @@ dependencies = [ { name = "typing-inspection" }, { name = "uvicorn", marker = "sys_platform != 'emscripten'" }, ] -sdist = { url = "https://files.pythonhosted.org/packages/30/d3/f9acc21dfc886e4f78e2add1a47db46ce16884346afde53f8a064c02c891/mcp-1.29.0.tar.gz", hash = "sha256:52d01f334de1868cc3bb2d6604931126a67631f99a6c5d3b82ba47290315ec36", size = 643148, upload-time = "2026-07-28T13:41:41.939Z" } +sdist = { url = "https://files.pythonhosted.org/packages/ba/93/0142dc84a666daf8ad51a34268f34c12fd6fda4f3810c4be2504eecc8212/mcp-1.30.0.tar.gz", hash = "sha256:445414625fce5c295faa505bb11bacece661ab6f4028d57c935db57820b7a3e4", size = 680511, upload-time = "2026-09-07T14:34:15.845Z" } wheels = [ - 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"CHANGELOG.md", + "docs/archives/changelog/*.md", ] [default.extend-words] diff --git a/uv.lock b/uv.lock index 0bd66cd..8a13c5e 100644 --- a/uv.lock +++ b/uv.lock @@ -53,10 +53,10 @@ dev = [ { name = "actionlint-py", specifier = "==1.7.12.25" }, { name = "pytest", specifier = "==9.1.1" }, { name = "research-repo-tools", specifier = "==0.1.9" }, - { name = "ruff", specifier = "==0.17.0" }, + { name = "ruff", specifier = "==0.17.1" }, { name = "shellcheck-py", specifier = "==0.11.0.1" }, { name = "shfmt-py", specifier = "==4.2.0" }, - { name = "ty", specifier = "==0.0.87" }, + { name = "ty", specifier = "==0.0.89" }, { name = "yamllint", specifier = "==1.38.0" }, ] tooling = [{ name = "research-repo-tools", specifier = "==0.1.9" }] @@ -81,11 +81,11 @@ wheels = [ [[package]] name = "pluggy" -version = "1.6.0" +version = "1.7.0" source = { registry = "https://pypi.org/simple" } -sdist = { url = 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