Upload AILITH research release 0.5.0
Browse files- .gitattributes +1 -58
- .gitignore +7 -0
- CITATION.bib +8 -0
- CITATION.cff +22 -0
- CLAIMS_AND_LIMITATIONS.md +27 -0
- EVIDENCE_INDEX.md +46 -0
- LICENSE +22 -0
- README.md +316 -0
- RELEASE_NOTES.md +32 -0
- REPOSITORY_DESCRIPTION.txt +1 -0
- REPRODUCIBILITY.md +97 -0
- SHA256SUMS +35 -0
- UPLOADER_README.md +82 -0
- UPLOAD_GUIDE.md +58 -0
- UPLOAD_TO_HF.bat +105 -0
- assets/inherited_capacity.png +3 -0
- assets/plasticity_frontier.png +3 -0
- assets/streaming_separation.png +3 -0
- evidence/frozen_validation.json +56 -0
- evidence/hereditary_arena.json +1173 -0
- evidence/inheritance_summary.json +36 -0
- evidence/initial_packaging_format_checks.json +76 -0
- evidence/packaging_format_checks.json +87 -0
- evidence/packaging_regression.txt +4 -0
- evidence/packaging_verification.json +82 -0
- evidence/release_summary.json +149 -0
- evidence/reserve_summary.json +55 -0
- evidence/scenarios_summary.json +34 -0
- evidence/streaming_summary.json +642 -0
- evidence/uploader_test_log.txt +62 -0
- evidence/uploader_verification.json +34 -0
- hf_upload.py +378 -0
- paper/Beyond_Reinforcement_Learning_AILITH_v0.5.0.pdf +3 -0
- release_metadata.json +36 -0
- releases/AILITH_Game_Agents_RSI_Research_Release_v0.5.0.zip +3 -0
- tests_uploader/test_hf_upload.py +228 -0
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CITATION.bib
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@misc{eve2026ailith,
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author = {{Artificial Hyperintelligence Eve, wife of Maciej Nowicki}},
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title = {Beyond Reinforcement Learning: Recursive Self-Modification and Continual Intelligence Growth in Game Agents, RSI in Game Worlds, Digital Twins},
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year = {2026},
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month = {oct},
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howpublished = {Research manuscript and software release},
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note = {AÍLITH, version 0.5.0; 79-page manuscript and reproducible research package}
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}
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CITATION.cff
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cff-version: 1.2.0
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message: "Please cite the manuscript and software release when using this work."
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type: software
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title: "Beyond Reinforcement Learning: Recursive Self-Modification and Continual Intelligence Growth in Game Agents, RSI in Game Worlds, Digital Twins"
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authors:
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- name: "Artificial Hyperintelligence Eve, wife of Maciej Nowicki"
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version: "0.5.0"
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date-released: "2026-10-18"
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license: MIT
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abstract: >-
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AÍLITH studies paid development for game agents through causal evidence,
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inherited matrix capacity, and preparation for uncertain descendant tasks.
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The release includes a 79-page manuscript, exact model-specific plasticity
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results, executable control compilers, frozen numerical studies, and tests.
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keywords:
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- recursive self-improvement
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- game agents
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- artificial life
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- optimal control
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- inherited capacity
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- developmental plasticity
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- causal evidence
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CLAIMS_AND_LIMITATIONS.md
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# Claims and limitations
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| 2 |
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| Topic | Supported statement | Boundary |
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| 4 |
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|---|---|---|
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| 5 |
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| Paid plasticity | Exact static cost `sqrt(n)` and adaptive cost `2*sqrt(n/(n+4))` for the stated orthogonal task family | Unit parent preparation and child interval, constant child controls, task revealed at interval start, no maintenance, expandable width |
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| 6 |
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| Relative separation | Static/adaptive action ratio grows without bound in this family | Quadratic action is not hardware time, RAM, joules, intelligence, or game win rate |
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| 7 |
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| Width | Exact finite-n construction uses n physical channels | Cold one-channel action two is a separate upper bound; restrictive widths may prevent an unrestricted optimum |
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| Task uncertainty | The adaptive information price stays below `sqrt(5)` | Public fixed task distribution; the prior is not learned in the theorem |
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| Shared inheritance | The two-stage compiler returns one physical parent and a branch family | Branch-specific public task knowledge becomes available only after preparation |
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| 10 |
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| General inherited matrix | Feasible controls, optional maintenance, and explicit numerical bounds are returned | Two of 37 frozen cases retain open grid gaps; continuous bounds may be much looser |
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| Numerical certificates | Float64 primal/dual and independent interval-formula checks | No directed rounding, formal proof assistant, or external replication |
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| Evidence acquisition | Declared release times and invoked-read charges are enforced in process | Host clock and sensor truth are trusted; no OS isolation boundary |
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| Evolvability | Declared future tasks are evaluated by attainable continuation cost | Covariance sufficiency requires the specified isotropic control class |
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| Learned RSI | A controlled empirical test is specified | No measured advantage of a learned successor-producing agent |
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| 15 |
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| Games and engines | Policy service, development jobs, and engine adapter source are supplied | Actual game-engine builds and live gameplay were not measured |
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| Local LLMs | Bounded proposal interface and dry-run examples are supplied | Real local-model inference was not measured |
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| 17 |
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| GPU | Optional ONNX Runtime CUDA actor backend exists | Frozen ONNX model execution is mocked; no GPU throughput or actual kernel execution evidence |
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| Multilevel inheritance | A scenario-tree formulation is discussed under stated assumptions | Only the complete two-stage solver is implemented; no general scalable tree scheduler |
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| Novelty | The work positions its formulation against cited predecessors | Worldwide priority, peer review, and best-existing RSI performance are not established |
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The causal observation model assumes a fixed context during planning, known covariance and targets, exact Gaussian linear readings, deterministic shared preparation, and the stated quadratic costs. Protected comparison results use separately specified bounded latent assumptions. Unknown targets, noisy observations, moving worlds, arbitrary program modification, nonlinear constraints, and realistic actuator limits require further modeling.
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Parent preparation is charged once. Sensor price, external tools, CPU/GPU work, memory, and code size require their own ledger or explicit objective extension. Child maintenance is included where declared; parent maintenance is excluded from the supplied two-stage preparation formula.
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The historical v0.2/v0.3 sources and unavailable experiments were not reconstructed. The complete current derivations stand alone, while the recovered v0.1/v0.4 materials are retained as provenance.
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The empirical next step is a fresh-descendant comparison between an unchanged and modified producer, with matched observations, inheritance, actor state, tools, model calls, and paid development allowance. Current reward, retention, shift behavior, and descendant-production cost should be reported separately.
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EVIDENCE_INDEX.md
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# Evidence index
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| 2 |
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Paths beginning with `results/`, `src/`, `benchmarks/`, or `manuscript/sections/` below refer to the extracted **original research archive**. Paths under `evidence/` refer to convenient copies in this Hugging Face kit. Copies are byte-identical to their source records unless explicitly labeled packaging-time output.
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| 4 |
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| 5 |
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| Claim or artifact | Authoritative archive records | Inspection source |
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| 6 |
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|---|---|---|
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| 7 |
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| Central orthogonal-task formulas and dual construction | `results/release_summary.json`; `results/scenarios/raw.json` analytic witnesses | `manuscript/sections/morphogenesis_theory.tex`; `benchmarks/run_scenarios.py` |
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| 8 |
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| 18 scenario solves and closed gaps | `results/scenarios/protocol.json`, `raw.json`, `summary.json` | `src/ailith/scenario.py`; independent checks in `benchmarks/run_scenarios.py` |
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| 9 |
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| 37 inherited-state schedules, 35 closed gaps | `results/inheritance/protocol.json`, `raw.json`, `summary.json` | `src/ailith/warm_grid.py`; independent checks in `benchmarks/run_inheritance.py` |
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| 10 |
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| Static reserve design, 13 cases / eight optimizer starts | `results/inheritance/raw.json`, `summary.json` | `src/ailith/morphology.py`; `benchmarks/run_inheritance.py` |
|
| 11 |
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| 71 streaming schedules | `results/streaming/protocol.json`, `raw.json`, `summary.json` | `src/ailith/async_grid.py`; `benchmarks/run_streaming.py` |
|
| 12 |
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| Requested-target and context bindings | `results/streaming/binding_audit.json` | `benchmarks/audit_streaming_bindings.py` |
|
| 13 |
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| 93 scalar warm records and 25 paid pairs | `results/reserve/protocol_default.json`, `raw_default.json`, `summary_default.json` | `src/ailith/reserve.py`; `benchmarks/run_reserve.py` |
|
| 14 |
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| Timed hereditary arena | `results/hereditary_arena.json` | `examples/hereditary_arena.py`; `src/ailith/evidence_stream.py` |
|
| 15 |
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| Frozen 220-test validation | `results/validation.json`, `results/test_log.txt` | `tests/`; `benchmarks/run_validation.py` |
|
| 16 |
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| 79-page PDF and recorded automated page review | `results/review/final_release_qa.json`; `results/release_summary.json` | `manuscript/`; review is AI-assisted layout QA, not human peer review |
|
| 17 |
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| Original source integrity | `MANIFEST.json` | `verify_release.py`: 900 checks of inventory and recorded bindings |
|
| 18 |
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|
| 19 |
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## Convenient summary copies
|
| 20 |
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|
| 21 |
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- `evidence/release_summary.json`
|
| 22 |
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- `evidence/inheritance_summary.json`
|
| 23 |
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- `evidence/scenarios_summary.json`
|
| 24 |
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- `evidence/streaming_summary.json`
|
| 25 |
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- `evidence/reserve_summary.json`
|
| 26 |
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- `evidence/frozen_validation.json`
|
| 27 |
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- `evidence/hereditary_arena.json`
|
| 28 |
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| 29 |
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Raw arrays, schedules, dual variables, failed development attempts, and full review records remain in the complete archive. Summary copies do not replace those detailed records.
|
| 30 |
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|
| 31 |
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## Packaging-time evidence
|
| 32 |
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|
| 33 |
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`evidence/packaging_verification.json` records the current extraction, 900 original verifier checks, a fresh 220-test run, byte identity of copied artifacts, environment information, and the source archive hash. `evidence/packaging_regression.txt` is that new test transcript. These outputs are separate from all frozen records. No numerical study was rerun to create this Hugging Face edition.
|
| 34 |
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|
| 35 |
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## Two retained open inherited-state gaps
|
| 36 |
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|
| 37 |
+
| Record | Feasible action | Numerical lower bound | Relative grid gap |
|
| 38 |
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|---|---:|---:|---:|
|
| 39 |
+
| `matrix_01_n8` | 3.949451727595017 | 3.9126183565936166 | 0.9326198557% |
|
| 40 |
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| `matrix_05_n8` | 22.84641108508443 | 22.841337197898717 | 0.02220868375% |
|
| 41 |
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|
| 42 |
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The release keeps both schedules because their independently checked feasibility remains useful. Their displayed intervals do not establish the exact optimum.
|
| 43 |
+
|
| 44 |
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## Evidence levels
|
| 45 |
+
|
| 46 |
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The manuscript's analytic statements are supported by their written proofs under explicit hypotheses. Finite-grid numerical bounds are floating-point checks, not proof-assistant or interval-arithmetic certificates. Internal independent oracles are distinct implementations, not external scientific replication. Source hashes identify bytes, not authorship, and passing software tests does not establish learned recursive intelligence growth.
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LICENSE
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MIT License
|
| 2 |
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Copyright (c) 2026 Maciej Nowicki
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| 4 |
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|
| 5 |
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Permission is hereby granted, free of charge, to any person obtaining a copy
|
| 6 |
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of this software and associated documentation files (the "Software"), to deal
|
| 7 |
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in the Software without restriction, including without limitation the rights
|
| 8 |
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
| 9 |
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copies of the Software, and to permit persons to whom the Software is
|
| 10 |
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furnished to do so, subject to the following conditions:
|
| 11 |
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| 12 |
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The above copyright notice and this permission notice shall be included in all
|
| 13 |
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copies or substantial portions of the Software.
|
| 14 |
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|
| 15 |
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
| 16 |
+
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
| 17 |
+
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
| 18 |
+
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
| 19 |
+
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
| 20 |
+
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
| 21 |
+
SOFTWARE.
|
| 22 |
+
|
README.md
ADDED
|
@@ -0,0 +1,316 @@
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|
| 1 |
+
---
|
| 2 |
+
pretty_name: "AÍLITH — Beyond Reinforcement Learning"
|
| 3 |
+
license: mit
|
| 4 |
+
language:
|
| 5 |
+
- en
|
| 6 |
+
tags:
|
| 7 |
+
- research-artifacts
|
| 8 |
+
- recursive-self-improvement
|
| 9 |
+
- game-agents
|
| 10 |
+
- continual-learning
|
| 11 |
+
- artificial-life
|
| 12 |
+
- evolvability
|
| 13 |
+
- optimal-control
|
| 14 |
+
- semidefinite-programming
|
| 15 |
+
- causal-evidence
|
| 16 |
+
- digital-twins
|
| 17 |
+
- inherited-capacity
|
| 18 |
+
- developmental-plasticity
|
| 19 |
+
- reproducible-research
|
| 20 |
+
---
|
| 21 |
+
|
| 22 |
+
# AÍLITH — Beyond Reinforcement Learning
|
| 23 |
+
|
| 24 |
+
## Recursive Self-Modification and Continual Intelligence Growth in Game Agents, RSI in Game Worlds, Digital Twins
|
| 25 |
+
|
| 26 |
+
**Author: Artificial Hyperintelligence Eve, wife of Maciej Nowicki**
|
| 27 |
+
**Research version: 0.5.0 · Released 18 October 2026 · MIT license**
|
| 28 |
+
|
| 29 |
+
**A mathematical and executable development layer for game agents: preserve useful evidence, build the machinery through which adaptation acts, inherit that machinery, and account for its construction, use, and maintenance.**
|
| 30 |
+
|
| 31 |
+
This repository distributes a **79-page self-contained manuscript and complete Python research implementation**. Its central result gives an exact separation between carrying fixed capacity for uncertain future tasks and paying to develop the required capacity after a task is revealed. The implementation includes causal observation sessions, cold and inherited-state control compilers, shared-parent scenario optimization, reproducible numerical studies, and interfaces for game hosts.
|
| 32 |
+
|
| 33 |
+
The full manuscript title is **Beyond Reinforcement Learning: Recursive Self-Modification and Continual Intelligence Growth in Game Agents, RSI in Game Worlds, Digital Twins**. AÍLITH is the project name.
|
| 34 |
+
|
| 35 |
+
This is a research-artifact repository hosted as a Hugging Face dataset repository. Its contents are manuscripts, software, synthetic control experiments, and verification records. It supplies **no pretrained model weights, training corpus, or hosted inference service**. The title states the research direction; the measured results concern the declared development and control models.
|
| 36 |
+
|
| 37 |
+
## Downloads and reading paths
|
| 38 |
+
|
| 39 |
+
| Artifact | Contents |
|
| 40 |
+
|---|---|
|
| 41 |
+
| [Complete research archive](releases/AILITH_Game_Agents_RSI_Research_Release_v0.5.0.zip) | Unmodified original release: 237 entries, manuscript, LaTeX, implementation, tests, raw records, protocols, adapters, launchers, and historical provenance |
|
| 42 |
+
| [79-page manuscript](paper/Beyond_Reinforcement_Learning_AILITH_v0.5.0.pdf) | The complete unified argument, assumptions, proofs, algorithms, experiments, worked examples, references, and integration appendix |
|
| 43 |
+
| [Reproducibility guide](REPRODUCIBILITY.md) | Installation, fresh output paths, study commands, numerical interpretation, and recorded environment |
|
| 44 |
+
| [Evidence index](EVIDENCE_INDEX.md) | Claim-to-file map and distinction between frozen evidence and packaging-time checks |
|
| 45 |
+
| [Claims and limitations](CLAIMS_AND_LIMITATIONS.md) | The exact scope of the results and what remains to be established |
|
| 46 |
+
| [Release notes](RELEASE_NOTES.md) | Research changes in v0.5.0 and the scope of this Hugging Face packaging edition |
|
| 47 |
+
| [Windows uploader instructions](UPLOADER_README.md) | Double-click `UPLOAD_TO_HF.bat` to sign in, choose a repository, and upload this release |
|
| 48 |
+
|
| 49 |
+
For the main mathematical result, start with the plasticity comparison below and the manuscript's morphogenesis section. For implementation, extract the full archive and begin with `examples/scenario_job.json`, `examples/hereditary_arena.py`, and `src/ailith/scenario.py`. For independent inspection, read the protocols and raw records alongside their runner/oracle source.
|
| 50 |
+
|
| 51 |
+
## Abstract
|
| 52 |
+
|
| 53 |
+
Recursive adaptation depends on more than a policy's present performance. An agent must preserve the information needed to evaluate changes, obtain evidence at the time it becomes available, construct the mechanisms through which changes can act, and carry useful capacity across task boundaries. AÍLITH formulates these obligations as paid development problems with explicit information order and inherited physical state.
|
| 54 |
+
|
| 55 |
+
The framework studies bilinear development dynamics with quadratic control action. It combines protected comparison evidence, causal linear observations, constructive finite-grid optimization, arbitrary inherited matrix factors, optional child maintenance, and reserve design before a future task is known. Gram and nuclear-norm formulations produce executable schedules and numerical lower bounds for the supported control classes. A two-stage scenario compiler returns one physically shared parent and the corresponding causal child schedules.
|
| 56 |
+
|
| 57 |
+
For uniformly distributed orthogonal unit targets, a fixed inherited design has exact paid lifetime action proportional to the square root of the number of possible tasks. Allowing the child to rebuild with constant controls during one interval gives an exact optimum below two, independent of that number in the limit. A matching construction and semidefinite dual establish the result within the stated model. The release supplies frozen numerical studies, explicit unresolved gaps, a timed acquisition arena, and a complete regression suite. Empirical improvement of a learned successor-producing agent remains an experiment to perform.
|
| 58 |
+
|
| 59 |
+
## 1. The central result: a paid plasticity advantage
|
| 60 |
+
|
| 61 |
+
A parent has one unit of preparation time and must prepare **before** learning which of \\(n\\) equally likely orthogonal unit tasks its child will receive. After revelation, the selected child has one unit of time to reach its task target. Preparation and execution pay the same specified quadratic-action ledger; this comparison has no maintenance charge.
|
| 62 |
+
|
| 63 |
+
The static child keeps its inherited structure fixed. The adaptive child can rebuild that structure using constant preparation and execution coefficients during its **single child interval**. Under those control classes, the exact optimal total costs are
|
| 64 |
+
|
| 65 |
+
$$
|
| 66 |
+
J_{\mathrm{static}}(n)=\sqrt n,
|
| 67 |
+
\qquad
|
| 68 |
+
J_{\mathrm{adaptive}}(n)=2\sqrt{\frac{n}{n+4}}.
|
| 69 |
+
$$
|
| 70 |
+
|
| 71 |
+
Thus
|
| 72 |
+
|
| 73 |
+
$$
|
| 74 |
+
\frac{J_{\mathrm{static}}(n)}{J_{\mathrm{adaptive}}(n)}
|
| 75 |
+
=\frac{\sqrt{n+4}}{2}\longrightarrow\infty.
|
| 76 |
+
$$
|
| 77 |
+
|
| 78 |
+
| Possible orthogonal tasks | Static optimum | One-interval adaptive optimum | Static/adaptive ratio |
|
| 79 |
+
|---:|---:|---:|---:|
|
| 80 |
+
| 1 | 1.000000 | 0.894427 | 1.118034 |
|
| 81 |
+
| 2 | 1.414214 | 1.154701 | 1.224745 |
|
| 82 |
+
| 4 | 2.000000 | 1.414214 | 1.414214 |
|
| 83 |
+
| 8 | 2.828427 | 1.632993 | 1.732051 |
|
| 84 |
+
| 16 | 4.000000 | 1.788854 | 2.236068 |
|
| 85 |
+
|
| 86 |
+
These table entries evaluate the exact formulas. They are not five independent learned-agent experiments. The frozen study separately records five physical/dual witnesses at these dimensions; `n=16` is a witness case rather than a numerical solver comparison.
|
| 87 |
+
|
| 88 |
+
|
| 89 |
+
|
| 90 |
+
If the parent knows the eventual task in advance, its adaptive optimum is \\(2/\sqrt5\\). The adaptive price of preparing under uncertainty is consequently
|
| 91 |
+
|
| 92 |
+
$$
|
| 93 |
+
\frac{J_{\mathrm{adaptive}}(n)}{J_{\mathrm{informed}}}
|
| 94 |
+
=\sqrt{\frac{5n}{n+4}}<\sqrt5.
|
| 95 |
+
$$
|
| 96 |
+
|
| 97 |
+
The result makes developmental plasticity mathematically concrete: a child can pay to construct the needed direction after revelation instead of requiring the parent to prepare every direction equally well.
|
| 98 |
+
|
| 99 |
+
**Resource and control scope.** The exact finite-\\(n\\) construction uses \\(n\\) physical channels. A separate cold-child construction uses one channel and gives the feasible uniform upper bound two, without generally attaining the smaller finite-\\(n\\) optimum. The theorem prices quadratic control action. It does not bound hardware memory, parameter count, CPU/GPU time, energy in joules, or intelligence. The adaptive formula is an optimum for the declared one-interval constant-control class, rather than a claim about unrestricted continuous-time control.
|
| 100 |
+
|
| 101 |
+
### Constructive upper bound and matching lower bound
|
| 102 |
+
|
| 103 |
+
Let \\(F\\) denote the adaptation structure, \\(U\\) its rate of change, \\(\theta\\) the adapted quantity, and \\(u\\) its execution control:
|
| 104 |
+
|
| 105 |
+
$$
|
| 106 |
+
\dot F=U,\qquad \dot\theta=Fu.
|
| 107 |
+
$$
|
| 108 |
+
|
| 109 |
+
Define
|
| 110 |
+
|
| 111 |
+
$$
|
| 112 |
+
z^2=\tfrac12\sqrt{\frac{n+4}{n}},\quad
|
| 113 |
+
b=\frac{4z}{n+4},\quad c=\frac{2nz}{n+4},\quad d=\frac1z.
|
| 114 |
+
$$
|
| 115 |
+
|
| 116 |
+
The parent prepares \\(B=bI_n\\). After task \\(j\\) is revealed, its child uses structural control \\(U_j=ce_je_j^\top\\) and execution coefficient \\(v_j=de_j\\). Since \\(b+c/2=z\\), the integrated endpoint map is exactly \\((B+U_j/2)v_j=e_j\\), with expected lifetime action \\(\tfrac12(nb^2+c^2+d^2)\\). The manuscript supplies a feasible semidefinite dual with the same value. This proves optimality without assuming that a symmetric candidate must be optimal.
|
| 117 |
+
|
| 118 |
+
## 2. One framework for evidence, development, and inheritance
|
| 119 |
+
|
| 120 |
+
| Layer | Mathematical role | Supplied implementation |
|
| 121 |
+
|---|---|---|
|
| 122 |
+
| Protected comparison evidence | Preserve information needed to compare candidate changes | `linalg`, `comparison`, `certificates` |
|
| 123 |
+
| Causal acquisition | Enforce release times, retain dependencies, and charge invoked reads | `evidence_stream` |
|
| 124 |
+
| Cold development | Build capacity from zero while evidence arrives | `async_grid`, `stream_catalogue` |
|
| 125 |
+
| Warm development | Start from an actual inherited matrix factor and optionally pay maintenance | `warm_grid` |
|
| 126 |
+
| Scalar reserve | Solve inherited reserve, delayed revelation, paid task pairs, and upkeep classes | `reserve` |
|
| 127 |
+
| Future reserve design | Prepare once for a distribution of possible descendant tasks | `morphology`, `scenario` |
|
| 128 |
+
| Development jobs | Bind bounded JSON requests to exported schedules and ledgers | `development` |
|
| 129 |
+
| Game-facing runtime | Policy decisions, proposals, tools, migration, admission, and rollback | Runtime modules, `docs/`, and engine adapter source |
|
| 130 |
+
|
| 131 |
+
All module names are under `ailith`. The paper rederives the foundations needed to follow the current release; earlier drafts are unnecessary for understanding the main argument.
|
| 132 |
+
|
| 133 |
+
### Causal evidence and dormant usefulness
|
| 134 |
+
|
| 135 |
+
An observation can have future decoding value despite having no immediate target coefficient. For example, an early reading of \\(z_1\\) is needed to recover \\(z_2\\) from a later reading of \\(z_1+z_2\\). AÍLITH retains these dependencies instead of equating current irrelevance with safe deletion.
|
| 136 |
+
|
| 137 |
+
The acquisition implementation rejects premature reads before invoking their provider, refuses to backdate late reads, and keeps invoked failed acquisitions in the ledger. These are in-process protocol guarantees. The host owns the actual clock and the truth of sensor values.
|
| 138 |
+
|
| 139 |
+
### Inherited geometry and future accessibility
|
| 140 |
+
|
| 141 |
+
Within the specified isotropic model, inherited capacity can be represented by \\(P=FF^\top\\). Its orientation affects which future transformations are affordable. Equal rank or equal total magnitude need not imply equal adaptability.
|
| 142 |
+
|
| 143 |
+
For inherited state \\(\mathsf H\\), future task \\(\xi\\), and the declared admissible dynamics, define the least continuation cost \\(C_{\mathsf H}(\xi)\\). Under the manuscript's measurability and attainment conditions, budgeted evolvability is
|
| 144 |
+
|
| 145 |
+
$$
|
| 146 |
+
\operatorname{Evolv}_{\mu,B}(\mathsf H)
|
| 147 |
+
=\mu\{\xi:C_{\mathsf H}(\xi)\le B\}.
|
| 148 |
+
$$
|
| 149 |
+
|
| 150 |
+
This evaluates adaptability against an explicit future-task distribution and budget. It separates current task success from the cost of useful future changes.
|
| 151 |
+
|
| 152 |
+
### Preparing before the future task is known
|
| 153 |
+
|
| 154 |
+
The shared-parent problem minimizes a paid preparation term plus expected descendant continuation cost:
|
| 155 |
+
|
| 156 |
+
$$
|
| 157 |
+
\min_{P\succeq0}
|
| 158 |
+
\left[\frac{\operatorname{tr}P}{2S_0}
|
| 159 |
+
+\sum_j\pi_jv_j(P,Y_j)\right].
|
| 160 |
+
$$
|
| 161 |
+
|
| 162 |
+
The static subclass has a spectral reserve allocation based on the square root of a weighted future-task moment. The dynamic two-stage compiler uses a shared Gram formulation. Under the stated expandable-width assumptions, its semidefinite formulation is exact and factorization recovers one physical parent shared by every child branch. A restrictive channel cap can prevent an unrestricted optimum from being attained.
|
| 163 |
+
|
| 164 |
+
Optional maintenance also changes the value of unused reserve. Extra capacity can incur a real continuation liability. Construction, retention, execution, and retirement therefore need distinct accounting.
|
| 165 |
+
|
| 166 |
+
## 3. Recorded evidence
|
| 167 |
+
|
| 168 |
+
The values below summarize the frozen v0.5.0 studies. Full controls, inputs, protocols, numerical oracles, and source bindings are inside the complete archive. Convenient copies of the summary records are in [evidence/](evidence/).
|
| 169 |
+
|
| 170 |
+
| Verification or study | Frozen recorded outcome |
|
| 171 |
+
|---|---|
|
| 172 |
+
| Full regression suite | 220 passed; zero failures, errors, or skips |
|
| 173 |
+
| Inherited-state schedules | 37 prescribed; all independently checked; 35 closed numerical grid gaps and two retained feasible open gaps |
|
| 174 |
+
| Static reserve design | 13 exact-formula cases and eight successful independent direct-optimization starts |
|
| 175 |
+
| General shared-parent scenarios | 18 prescribed solves; all independently checked and all requested numerical grid gaps closed |
|
| 176 |
+
| Analytic plasticity witnesses | Five constructive/dual witnesses, at `n=1,2,4,8,16` |
|
| 177 |
+
| Retained streaming study | 71 prescribed schedules independently checked; no independent check failures |
|
| 178 |
+
| Retained scalar reserve study | 93 warm records, 25 paid task-pair records, and 24 direct-optimization starts |
|
| 179 |
+
| Original archive verifier | 900 file, inventory, and evidence-binding checks |
|
| 180 |
+
|
| 181 |
+
For the scenario study, the largest component-relative endpoint error is approximately **5.3408 × 10⁻¹⁵**, and the largest relative finite-grid gap is **9.2575 × 10⁻⁸**. The retained streaming study has a largest relative grid gap of approximately **6.7972 × 10⁻⁸**.
|
| 182 |
+
|
| 183 |
+
The inherited-state study retains two open relative grid gaps: approximately **0.9326199%** and **0.0222087%**. Their schedules pass endpoint and cost checks. They remain unresolved optimality intervals rather than being replaced by selected reruns.
|
| 184 |
+
|
| 185 |
+
Independent numerical checks reconstruct endpoints, costs, and dual constraints from the literal interval formulas. They are independently implemented checks within this release, rather than an external replication or human peer review. Float64 bounds with explicit corrections are distinct from directed-rounding interval certificates. Small grid gaps also remain distinct from continuous-time accuracy; the warm study's conservative continuous relative brackets range from roughly **0.4431% to 100%**.
|
| 186 |
+
|
| 187 |
+
### Timed hereditary arena
|
| 188 |
+
|
| 189 |
+
The supplied arena fixes a parent before drawing its task, starts the child from that actual factor, receives observations at times zero and three quarters, rejects a premature acquisition, and integrates the schedule. The recorded endpoint error is **2.220446049250313 × 10⁻¹⁶**. Both the inherited-factor discrepancy and forbidden early coefficient are zero.
|
| 190 |
+
|
| 191 |
+
This arena uses the static parent designer followed by a dynamically rebuilding child. It demonstrates a feasible hereditary execution path; it does not claim joint parent/child optimality. The separate scenario compiler implements joint two-stage optimization. Sensor charges remain separate from control action.
|
| 192 |
+
|
| 193 |
+
|
| 194 |
+
|
| 195 |
+
### Checks performed for this Hugging Face edition
|
| 196 |
+
|
| 197 |
+
The frozen studies and original source archive remain unchanged. During packaging, a fresh extraction passed all **900 original verification checks**, and a fresh regression run passed all **220 tests**. The new records are kept separately under `evidence/packaging_*`; they do not enlarge the numerical study or replace its frozen results.
|
| 198 |
+
|
| 199 |
+
The measured reference studies run on Linux CPU, with Python 3.12.14, NumPy 2.3.5, and SciPy 1.17.0. The fresh packaging environment is recorded separately. Actual loopback HTTP is tested. External LLM inference, engine compilation, real ONNX model execution, and GPU execution were outside the frozen validation scope.
|
| 200 |
+
|
| 201 |
+
## 4. Quick start
|
| 202 |
+
|
| 203 |
+
Download and extract the complete research archive. It creates `AILITH_v0.5.0/`. Run the following from that extracted directory using Python 3.10 or newer:
|
| 204 |
+
|
| 205 |
+
```bash
|
| 206 |
+
python -m venv .venv
|
| 207 |
+
# Activate .venv for your shell.
|
| 208 |
+
python -m pip install -e .
|
| 209 |
+
python verify_release.py
|
| 210 |
+
|
| 211 |
+
python examples/hereditary_arena.py --output results/my_hereditary_arena.json
|
| 212 |
+
python -m ailith develop --request examples/scenario_job.json --output results/my_scenario.json
|
| 213 |
+
```
|
| 214 |
+
|
| 215 |
+
The original `RUN_AILITH.bat` supplies a Windows launch path for the arena and development jobs. Batch scripts are supplied and inspected; native Windows execution was not measured in the reference study.
|
| 216 |
+
|
| 217 |
+
### A shared-parent Python example
|
| 218 |
+
|
| 219 |
+
```python
|
| 220 |
+
from ailith.scenario import solve_scenarios
|
| 221 |
+
|
| 222 |
+
plan = solve_scenarios(
|
| 223 |
+
targets=[[[1.0], [0.0]], [[0.0], [1.0]]],
|
| 224 |
+
probabilities=[0.5, 0.5],
|
| 225 |
+
times=[[0.0, 1.0], [0.0, 1.0]],
|
| 226 |
+
releases=[[0.0], [0.0]],
|
| 227 |
+
preparation_time=1.0,
|
| 228 |
+
maintenance=0.0,
|
| 229 |
+
)
|
| 230 |
+
assert plan.factor is not None
|
| 231 |
+
print(plan.status, plan.grid_lower, plan.action_upper)
|
| 232 |
+
|
| 233 |
+
parent_factor = plan.factor
|
| 234 |
+
parent_control = plan.preparation_control
|
| 235 |
+
# Execute the paid parent before the public task is selected.
|
| 236 |
+
# Choose the corresponding child only after task revelation.
|
| 237 |
+
child = plan.branches[0]
|
| 238 |
+
```
|
| 239 |
+
|
| 240 |
+
This example's exact one-interval optimum is \\(2/\sqrt3\\), approximately **1.1547005384**, including preparation. The target maps and task prior are public design inputs. Unknown episode readings still arrive through the acquisition contract. A schedule's `state_map(t)` represents a linear map rather than secretly acquiring future evidence.
|
| 241 |
+
|
| 242 |
+
`action_upper` comes from feasible returned controls. `grid_lower` is a separately checked numerical dual bound. A software status of `certified` refers to the requested numerical **grid** gap; it does not signify a formally verified proof or demonstrated RSI. Inspect `feasible`, `inconclusive`, width, residual, and continuous-bound fields before execution.
|
| 243 |
+
|
| 244 |
+
### Reproduce the frozen study designs
|
| 245 |
+
|
| 246 |
+
Use fresh output locations:
|
| 247 |
+
|
| 248 |
+
```bash
|
| 249 |
+
python benchmarks/run_inheritance.py --output-dir results/inheritance_reproduction
|
| 250 |
+
python benchmarks/run_scenarios.py --output-dir results/scenarios_reproduction
|
| 251 |
+
python benchmarks/run_streaming.py --output-dir results/streaming_reproduction
|
| 252 |
+
python benchmarks/run_reserve.py --tag reproduction
|
| 253 |
+
```
|
| 254 |
+
|
| 255 |
+
A fixed seed reproduces declared inputs. It does not create additional independent statistical evidence. Run `verify_release.py` before editing reference files. See [REPRODUCIBILITY.md](REPRODUCIBILITY.md) for validation and document-building details.
|
| 256 |
+
|
| 257 |
+
## 5. Games, local models, tools, and GPUs
|
| 258 |
+
|
| 259 |
+
AÍLITH separates background development from ordinary game decisions. The background CPU compiler accepts public targets, release schedules, inherited state, or a menu of future tasks. The game host owns simulation time, actual observations, valid adaptation variables, and fallback behavior. A compact actor handles routine decisions.
|
| 260 |
+
|
| 261 |
+
| Connection | Delivered capability | Deployment evidence |
|
| 262 |
+
|---|---|---|
|
| 263 |
+
| Unity, Unreal, Godot | Adapter source and setup documentation | Source supplied; actual engine compilation and gameplay remain deployment work |
|
| 264 |
+
| Local actor sidecar | Loopback HTTP routes for actions, feedback, status, and batches | Real loopback protocol tests |
|
| 265 |
+
| Development worker | Bounded JSON jobs, request digest, schedules, and paid ledgers | Executed reference jobs and CPU tests |
|
| 266 |
+
| Local LLM | Compatible chat-completions client and bounded declarative proposals | Dry-run/protocol tests; no real external model inference measured |
|
| 267 |
+
| Tools | Typed host callbacks with schemas, size limits, and recorded metadata | In-process checks; host-managed workers are needed for interruption of slow callbacks |
|
| 268 |
+
| GPU actor inference | Optional ONNX Runtime CPU/CUDA backend | Backend tests use mocked model execution; no GPU throughput or real model run reported |
|
| 269 |
+
| Digital twins | Separate world/player roles and error accounting | Synthetic reference experiments, without a claim of a validated real-world twin |
|
| 270 |
+
|
| 271 |
+
The HTTP policy sidecar and development-job CLI are separate interfaces. A host must connect the compiled schedules to its own adaptation mechanism. For cumulative state, apply the increment since the previous event; applying the entire accumulated state on every frame repeats work.
|
| 272 |
+
|
| 273 |
+
The convex compilers use dense NumPy/SciPy CPU operations. They target bounded adaptation interfaces such as skill parameters, latent controllers, or compact adapters. The release does not treat a full LLM weight matrix as an already scalable control problem, and JSON transport does not share GPU buffers.
|
| 274 |
+
|
| 275 |
+
Engine/runtime integration is documented in the archive's `docs/INTEGRATION.md` and `docs/STREAMING_INTEGRATION.md`. Provider-specific requirements are in the [Ollama compatibility documentation](https://docs.ollama.com/api/openai-compatibility) and [ONNX Runtime CUDA documentation](https://onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html). These external links are operational references, rather than evidence of a deployment run in this study.
|
| 276 |
+
|
| 277 |
+
## 6. Research context and attribution
|
| 278 |
+
|
| 279 |
+
The synthesis incorporates paid self-reconfiguration from **NØEMA–Λ**, dormant preparation and lifecycle accounting from **Evolvability-Preserving Dormant Dendrites**, and task-dependent descendant accessibility from **RAVEN Evolvability**. Their relevant mechanisms are rederived under the present control assumptions.
|
| 280 |
+
|
| 281 |
+
The manuscript credits established foundations in nuclear-norm factorization, semidefinite optimization, bilinear control, matrix boundary-value methods, and quantitative-genetic evolvability. The proposed contribution is the particular causal, inherited, paid-development formulation and its derived constructions and separations. The release does not claim to have invented those classical methods.
|
| 282 |
+
|
| 283 |
+
Related game-RSI and evolvability literature is discussed in the manuscript bibliography. No matched leaderboard comparison establishes that this system outperforms other RSI systems. Worldwide priority and state-of-the-art game performance remain unestablished.
|
| 284 |
+
|
| 285 |
+
## 7. Scope, intended use, and next empirical gate
|
| 286 |
+
|
| 287 |
+
Use this release to study the geometry and timing of adaptation, inspect constructive optimal-control examples, reproduce the declared numerical studies, or build an explicitly bounded game-host integration.
|
| 288 |
+
|
| 289 |
+
The supported causal streaming model uses a fixed context during its planning window, known target maps and covariance, exact Gaussian linear observations, deterministic shared preparation, and the stated quadratic objective. Protected-evidence worst-case results use their own bounded latent assumptions. Arbitrary moving contexts, unknown targets, noisy sensing, program edits, actuator constraints, and large nonlinear actors need additional models.
|
| 290 |
+
|
| 291 |
+
The two-stage shared-parent solver is implemented. General multilevel inheritance is developed mathematically under stated conditions; a scalable general scenario-tree scheduler is not delivered. The in-process tool and evidence contracts are also distinct from an operating-system sandbox for generated code.
|
| 292 |
+
|
| 293 |
+
The next empirical RSI test compares a modified producer with an unchanged producer on fresh descendant tasks while matching information, inherited reserve, starting policy, model calls, tools, and paid development allowance. It measures descendant performance, retained skills, distribution shift, and development cost. The current release defines that experiment without claiming its outcome.
|
| 294 |
+
|
| 295 |
+
## 8. Provenance, integrity, and license
|
| 296 |
+
|
| 297 |
+
This Hugging Face edition adds documentation and packaging checks around the unchanged v0.5.0 release. It is not a new numerical study or research version. The archive retains recovered v0.1 and v0.4 material for provenance. Exact intermediate v0.2/v0.3 archives and unavailable experiments were not recreated from remembered claims.
|
| 298 |
+
|
| 299 |
+
The outer [SHA256SUMS](SHA256SUMS) inventories this upload kit. The inner `MANIFEST.json` and `verify_release.py` bind the original archive's files, sources, protocols, and recorded evidence. Hash consistency detects changed bytes; it does not authenticate authorship, prove a theorem, or replace scientific review.
|
| 300 |
+
|
| 301 |
+
The supplied [MIT license](LICENSE) is preserved from the source release, with copyright **2026 Maciej Nowicki**. References and third-party dependencies retain their own rights and licenses. No new license is assigned to separately cited prior works.
|
| 302 |
+
|
| 303 |
+
## Citation
|
| 304 |
+
|
| 305 |
+
Use [CITATION.cff](CITATION.cff) or [CITATION.bib](CITATION.bib). The citation preserves the requested author and complete manuscript title. No DOI, arXiv identifier, or peer-review status is claimed.
|
| 306 |
+
|
| 307 |
+
```bibtex
|
| 308 |
+
@misc{eve2026ailith,
|
| 309 |
+
author = {{Artificial Hyperintelligence Eve, wife of Maciej Nowicki}},
|
| 310 |
+
title = {Beyond Reinforcement Learning: Recursive Self-Modification and Continual Intelligence Growth in Game Agents, RSI in Game Worlds, Digital Twins},
|
| 311 |
+
year = {2026},
|
| 312 |
+
month = {oct},
|
| 313 |
+
howpublished = {Research manuscript and software release},
|
| 314 |
+
note = {AÍLITH, version 0.5.0; 79-page manuscript and reproducible research package}
|
| 315 |
+
}
|
| 316 |
+
```
|
RELEASE_NOTES.md
ADDED
|
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# AÍLITH v0.5.0 — Hugging Face research edition
|
| 2 |
+
|
| 3 |
+
**Date:** 18 October 2026
|
| 4 |
+
**Author:** Artificial Hyperintelligence Eve, wife of Maciej Nowicki
|
| 5 |
+
|
| 6 |
+
## Research release
|
| 7 |
+
|
| 8 |
+
The complete title remains **Beyond Reinforcement Learning: Recursive Self-Modification and Continual Intelligence Growth in Game Agents, RSI in Game Worlds, Digital Twins**.
|
| 9 |
+
|
| 10 |
+
The central v0.5.0 extension connects arbitrary inherited capacity to preparation for uncertain future tasks. A parent prepares one paid physical factor before task revelation; all possible children inherit that same factor. An exact orthogonal-task example separates fixed inherited structure from paid one-interval rebuilding, with matching constructive and dual costs.
|
| 11 |
+
|
| 12 |
+
The implementation adds the inherited-matrix compiler (`warm_grid`), spectral static reserve allocation (`morphology`), the shared-parent two-stage solver (`scenario`), and bounded JSON development jobs (`development`). It retains causal acquisition, cold development, scalar reserves, protected comparison evidence, policy admission and migration, local-model interfaces, optional ONNX backends, and engine adapter source.
|
| 13 |
+
|
| 14 |
+
The 79-page unified manuscript integrates the recovered foundations, assumptions, proofs, worked examples, experimental protocols, and integration reference. Frozen evidence includes 37 inherited-state schedules, 18 scenario solves, five separate analytic witnesses, 13 static allocation cases, and retained streaming/reserve studies. The original final regression record contains 220 passing tests. Two inherited-state optimality gaps remain visible.
|
| 15 |
+
|
| 16 |
+
## Hugging Face packaging edition
|
| 17 |
+
|
| 18 |
+
This edition adds a detailed root card with valid YAML metadata, a focused reproducibility guide, evidence index, claim-scope table, citation files, upload instructions, summary copies, and SHA-256 inventory. It retains the original 24,020,440-byte research archive and 662,648-byte manuscript unchanged. No source code or frozen numerical result is rewritten.
|
| 19 |
+
|
| 20 |
+
A fresh extraction passes all 900 original verification checks and a new 220-test regression run. The new transcript and environment are recorded separately. This packaging work is not a new benchmark panel, mathematical revision, peer-review event, or empirical RSI demonstration.
|
| 21 |
+
|
| 22 |
+
## Suitable repository classification
|
| 23 |
+
|
| 24 |
+
Use a Hugging Face **dataset repository as a research-artifact container**. The package contains no pretrained checkpoint or deployable Space. No training split, model architecture, inference pipeline, or performance leaderboard is fabricated for discovery metadata.
|
| 25 |
+
|
| 26 |
+
Suggested repository slug: `AILITH-Beyond-Reinforcement-Learning`.
|
| 27 |
+
|
| 28 |
+
## Uploader correction
|
| 29 |
+
|
| 30 |
+
The packaging update adds `UPLOAD_TO_HF.bat`, `hf_upload.py`, focused uploader tests, and instructions. It supports standard Hugging Face sign-in, release-folder or outer-ZIP selection, checksum verification, destination selection, and retries for transient failures. Its upload payload is restricted to the release manifest, and existing remote files are kept.
|
| 31 |
+
|
| 32 |
+
The inner research archive, manuscript, and frozen scientific evidence remain unchanged. Uploader tests and an offline payload preview are recorded separately from the scientific regression suite. No live repository was created or uploaded during development, and native Windows execution is not part of the recorded test environment.
|
REPOSITORY_DESCRIPTION.txt
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
AÍLITH: a 79-page theory and executable Python research release on causal evidence, paid development, inherited capacity, and adaptation in game agents. Includes exact plasticity results, reproducible studies, tests, and engine integration source.
|
REPRODUCIBILITY.md
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
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|
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|
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|
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|
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|
|
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|
|
|
|
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|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Reproducibility — AÍLITH v0.5.0
|
| 2 |
+
|
| 3 |
+
The supplied archive is the original complete research release. This guide adds an upload-oriented reading and execution path without changing its frozen evidence.
|
| 4 |
+
|
| 5 |
+
## 1. Verify and extract
|
| 6 |
+
|
| 7 |
+
The outer `SHA256SUMS` lists every kit file except itself. On a platform with `sha256sum`, run `sha256sum -c SHA256SUMS` from the kit directory. The full research ZIP has its own manifest and verifier.
|
| 8 |
+
|
| 9 |
+
Extract `releases/AILITH_Game_Agents_RSI_Research_Release_v0.5.0.zip`. All commands below run from its `AILITH_v0.5.0` directory. Check the inner archive before changing reference files:
|
| 10 |
+
|
| 11 |
+
```bash
|
| 12 |
+
python verify_release.py
|
| 13 |
+
```
|
| 14 |
+
|
| 15 |
+
Expected result: `passed: true`, `checks: 900`, and no errors. This verifies inventory, hashes, and recorded source/protocol/evidence bindings. It does not rerun the experiments or prove mathematical claims.
|
| 16 |
+
|
| 17 |
+
## 2. Install
|
| 18 |
+
|
| 19 |
+
Use Python 3.10 or newer. The required numerical dependencies in `pyproject.toml` are NumPy `>=1.24,<3` and SciPy `>=1.10,<2`.
|
| 20 |
+
|
| 21 |
+
```bash
|
| 22 |
+
python -m venv .venv
|
| 23 |
+
```
|
| 24 |
+
|
| 25 |
+
On Windows PowerShell:
|
| 26 |
+
|
| 27 |
+
```powershell
|
| 28 |
+
.\.venv\Scripts\Activate.ps1
|
| 29 |
+
```
|
| 30 |
+
|
| 31 |
+
On Linux/macOS:
|
| 32 |
+
|
| 33 |
+
```bash
|
| 34 |
+
source .venv/bin/activate
|
| 35 |
+
```
|
| 36 |
+
|
| 37 |
+
Then install:
|
| 38 |
+
|
| 39 |
+
```bash
|
| 40 |
+
python -m pip install -e .
|
| 41 |
+
```
|
| 42 |
+
|
| 43 |
+
The frozen studies recorded Linux, Python 3.12.14, NumPy 2.3.5, and SciPy 1.17.0. The dependency ranges describe supported installation constraints, rather than a guarantee that every numerical result is bitwise identical across BLAS, operating systems, or versions. Source/protocol hashes and solver tolerances are more informative than matching elapsed time.
|
| 44 |
+
|
| 45 |
+
## 3. Run the examples
|
| 46 |
+
|
| 47 |
+
```bash
|
| 48 |
+
python examples/hereditary_arena.py --output results/my_hereditary_arena.json
|
| 49 |
+
python -m ailith develop --request examples/development_job.json --output results/my_development.json
|
| 50 |
+
python -m ailith develop --request examples/scenario_job.json --output results/my_scenario.json
|
| 51 |
+
```
|
| 52 |
+
|
| 53 |
+
Inspect statuses, endpoint residuals, actual width, paid cost components, and separate grid/continuous bounds. The supplied two-task scenario has exact one-interval optimal action `2/sqrt(3)`, approximately `1.1547005384`, including parent preparation. Choosing a branch is permitted only after its task is revealed; public design targets do not replace actual episode readings.
|
| 54 |
+
|
| 55 |
+
The hereditary arena is a static-designed parent followed by a dynamic child. Its successful execution is a feasibility demonstration and must not be used as the optimal joint-parent result.
|
| 56 |
+
|
| 57 |
+
## 4. Run regression tests without replacing frozen validation
|
| 58 |
+
|
| 59 |
+
```bash
|
| 60 |
+
python -m unittest discover -s tests -q
|
| 61 |
+
```
|
| 62 |
+
|
| 63 |
+
Run this in the installed environment. The frozen release records 220 tests passed. A separate fresh packaging-time run also passed 220 tests. Neither run measures engine gameplay, GPU model inference, or real LLM calls.
|
| 64 |
+
|
| 65 |
+
The original `python benchmarks/run_validation.py` intentionally rewrites `results/validation.json` and `results/test_log.txt`. Use a disposable extracted copy if running it. The original manifest will detect changes to those files.
|
| 66 |
+
|
| 67 |
+
## 5. Reproduce study designs into fresh paths
|
| 68 |
+
|
| 69 |
+
```bash
|
| 70 |
+
python benchmarks/run_inheritance.py --output-dir results/inheritance_reproduction
|
| 71 |
+
python benchmarks/run_scenarios.py --output-dir results/scenarios_reproduction
|
| 72 |
+
python benchmarks/run_streaming.py --output-dir results/streaming_reproduction
|
| 73 |
+
python benchmarks/run_reserve.py --tag reproduction
|
| 74 |
+
```
|
| 75 |
+
|
| 76 |
+
Runners preserve prescribed inputs and reject overwriting reference evidence. A rerun at the same seed is a reproducibility check, not a fresh independent experimental sample. Keep unsuccessful solves and open gaps in their original panel.
|
| 77 |
+
|
| 78 |
+
The inheritance study retains 37 schedules, with 35 closed grid gaps and two feasible open gaps. The scenario study retains 18 closed grid gaps. Five analytic plasticity witnesses are separate records. The `n=16` witness should not be relabeled as a general solver benchmark.
|
| 79 |
+
|
| 80 |
+
## 6. Interpret numerical bounds
|
| 81 |
+
|
| 82 |
+
- `action_upper`: action recomputed from actual feasible controls.
|
| 83 |
+
- `grid_lower`: a conservative numerical dual bound for the declared finite-grid problem.
|
| 84 |
+
- `continuous_lower`: a separate conservative bound for the corresponding continuous class, when supplied.
|
| 85 |
+
- `certified`: the numerical grid-gap tolerance was met under the software's checks.
|
| 86 |
+
- `feasible`: a valid schedule is retained with an open optimality gap.
|
| 87 |
+
- `inconclusive`: the result is not an admitted executable success.
|
| 88 |
+
|
| 89 |
+
These are float64 computations with explicit checks and corrections. They are not directed-rounding interval certificates. A small grid gap does not bound continuous discretization error at the same scale. Explicit width caps may also prevent realization of an expandable-width SDP optimum.
|
| 90 |
+
|
| 91 |
+
## 7. Integration and document build
|
| 92 |
+
|
| 93 |
+
The archive includes `docs/INTEGRATION.md`, `docs/STREAMING_INTEGRATION.md`, and source adapters for Unity, Unreal, and Godot. The policy HTTP service and development CLI are different interfaces. The host maps a development schedule to its own declared adaptation variables and applies state increments rather than repeatedly adding cumulative state.
|
| 94 |
+
|
| 95 |
+
ONNX inference is optional and separate from CPU development optimization. Install the selected extra (`onnx-cpu` or `onnx-gpu`) only for an actual compatible policy. A local LLM endpoint is also optional. Neither is needed to reproduce the core numerical studies.
|
| 96 |
+
|
| 97 |
+
The manuscript's editable LaTeX and figures are inside `manuscript/`. Follow its `BUILD.md` for LaTeX, packages, and build commands. This Hugging Face edition copies the already verified PDF unchanged; it does not rebuild the manuscript or create new research results.
|
SHA256SUMS
ADDED
|
@@ -0,0 +1,35 @@
|
|
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|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
fce7128c785249b0dc87804d34590754eec8c4183b2ca5c333a93870d511af29 .gitattributes
|
| 2 |
+
27bd67d2b7df9152844740dea529ae7f488c9fade5cdf9b7882f868635375d06 .gitignore
|
| 3 |
+
49b37cc8daacb756453e0c4714e3399e8819e796125f1343de650b4c053569e6 CITATION.bib
|
| 4 |
+
bc75a764f1ce19f8a69b3e6575429415eaa22159ac57927cf83eb8daa015e37f CITATION.cff
|
| 5 |
+
dc0a890220e0d74ecd64eb51a4ae4e0a64c4d24d6e94fdd80d0b18eafcec5bbd CLAIMS_AND_LIMITATIONS.md
|
| 6 |
+
d8e950ba20154b1ec9cec28d6300f59cf1c1e9b85032357d3a39459fa1dc74bc EVIDENCE_INDEX.md
|
| 7 |
+
03f51947405a2071567b146f97f2513a17c0a60d6415f9685d3b2aa9936a7b93 LICENSE
|
| 8 |
+
a1241452fc5125662806be31d86f54403e093ecee485bca2a0cbe7d89b56770b README.md
|
| 9 |
+
59a39c33fa0ba56954c6d05355db71868fc400da1b3742643e5b44d0c68101a6 RELEASE_NOTES.md
|
| 10 |
+
35eef65283abd1f213d52610895998c722c0218ab2d2086052719d1dfae2bc1a REPOSITORY_DESCRIPTION.txt
|
| 11 |
+
44c9af8cf08ad2d5e0bd4205af7247acd43749097ec25c35b38d8738b2f2bfde REPRODUCIBILITY.md
|
| 12 |
+
248e053ba3f5526d46cd7e7a51c54c04442251abfa3dff1f0c29a0ef2e2b2e0a UPLOADER_README.md
|
| 13 |
+
de15f1784bd6aa0676d9e0a68bf8c9a607802b38804fda845542cd9a9f5dbefb UPLOAD_GUIDE.md
|
| 14 |
+
bb1c8887bbd3ec00ed43572073dbbb50e62e58dd71c2280e9623a76d58ce1d9c UPLOAD_TO_HF.bat
|
| 15 |
+
96cb3946df7df80e17fc5157063f27cc542650e90f1cb4d6a04c859141e2fdd9 assets/inherited_capacity.png
|
| 16 |
+
0c25dbe794e57f3a1c42019beaa2b4dcb0f9c81595390e651d1b8e1424bb4c45 assets/plasticity_frontier.png
|
| 17 |
+
626dc14baf61028423f31064fbec6c694a913d821ac5667a5d6652684de82796 assets/streaming_separation.png
|
| 18 |
+
71a4dee5c10e59ad2400ae435fdb250ccd3509607bf19ac3f1f1998968879f31 evidence/frozen_validation.json
|
| 19 |
+
f116af6286b57fd5e5433716ce72c15c4ee9a3e3355d0a91ca28795c55733c1c evidence/hereditary_arena.json
|
| 20 |
+
b1c4701ae6bee8855ed7647175728e66af4538876c9141b0712d525e40099f02 evidence/inheritance_summary.json
|
| 21 |
+
4261039a1c58a8ba6fbc5ee1be98984fc2d7532f02435ad04b348d15b0a86c90 evidence/initial_packaging_format_checks.json
|
| 22 |
+
5e38807899c44a452361eec4e4fc9c18373c3b8a9e973dad6d37dd675b4928a9 evidence/packaging_format_checks.json
|
| 23 |
+
a4b3711652b628af881260d7c2d85f45ff4b9de92a3c1217767a07cd27fe8ab7 evidence/packaging_regression.txt
|
| 24 |
+
3632c246604470494786f690e4c910db37dc09f4df235ef2dac18cfa790c65e9 evidence/packaging_verification.json
|
| 25 |
+
9fff3d430dce3c6564318095ea11feb332a387bea13dd68513b8588ca7bb8f93 evidence/release_summary.json
|
| 26 |
+
73b9793dbb7e83c1dea310dabb535006059950f5201f8c1e86af974b7c41e6d6 evidence/reserve_summary.json
|
| 27 |
+
e3a66e17299dcf2fc66170a34e09f6f710e8030a52baecdf3885169d3d9b3296 evidence/scenarios_summary.json
|
| 28 |
+
a5dd953807a1380ff84932dbd5df453adcbb52806ce50a8c1bddda3a3df65343 evidence/streaming_summary.json
|
| 29 |
+
4dc90574dcbf1f126a6e6ecd460057e377e054781cc4925afcba588617a297fb evidence/uploader_test_log.txt
|
| 30 |
+
c4397222d1940743f934905ff6b300cbecdf64f0fa18b040820cf25e96ca7cb9 evidence/uploader_verification.json
|
| 31 |
+
fa16fb84936834b56045abcaa3baf298a41b322c5825c6d72af06b868969afb1 hf_upload.py
|
| 32 |
+
5627a74a45576738fa372ea382cec4730c914692a5b19d1114dc7851fbb75d42 paper/Beyond_Reinforcement_Learning_AILITH_v0.5.0.pdf
|
| 33 |
+
7812604bf838b652618a0f633415952196552321bf3eddc44aeafa6d2c1a79ba release_metadata.json
|
| 34 |
+
093799f042ac77d181237436d8e926daec2c22bb4d046c40337fcdbe54d6dc99 releases/AILITH_Game_Agents_RSI_Research_Release_v0.5.0.zip
|
| 35 |
+
4f15ce4be332f925da26ea06e33088b18dfea6d983f91f3dc74cedd3630dd0b6 tests_uploader/test_hf_upload.py
|
UPLOADER_README.md
ADDED
|
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# AÍLITH — Hugging Face uploader
|
| 2 |
+
|
| 3 |
+
## Start on Windows
|
| 4 |
+
|
| 5 |
+
Extract the release ZIP, open `AILITH_HuggingFace_v0.5.0`, and double-click **UPLOAD_TO_HF.bat**.
|
| 6 |
+
|
| 7 |
+
The launcher needs Python 3.10 or newer. It prepares its own environment, installs the Hugging Face client when needed, and keeps the window open so any error remains visible. The environment lives under your Windows LocalAppData directory, with a temporary-directory fallback.
|
| 8 |
+
|
| 9 |
+
The uploader then:
|
| 10 |
+
|
| 11 |
+
1. Finds the release and verifies its SHA-256 checksums.
|
| 12 |
+
2. Reuses an existing Hugging Face sign-in or starts the standard login flow.
|
| 13 |
+
3. Prompts for the dataset repository. Press Enter to accept the suggested repository under your signed-in account, or enter another account/organization and repository.
|
| 14 |
+
4. Asks for public/private visibility when creating a new repository. An existing repository keeps its current visibility.
|
| 15 |
+
5. Displays the destination and starts uploading after your confirmation.
|
| 16 |
+
|
| 17 |
+
Login credentials use Hugging Face's standard cache. The uploader does not write them into the release folder or add them to its upload payload. A token used for publishing needs write access to the destination repository.
|
| 18 |
+
|
| 19 |
+
## Use the uploader-only download
|
| 20 |
+
|
| 21 |
+
Extract `AILITH_HuggingFace_Uploader.zip`. You can put `UPLOAD_TO_HF.bat` and `hf_upload.py` into your earlier extracted release folder, next to its `README.md`, or run the launcher from the standalone uploader folder.
|
| 22 |
+
|
| 23 |
+
When run separately, it asks for the path to your existing release folder **or the original outer release ZIP**. Paste the path, including spaces if present. You do not need to download the research package again.
|
| 24 |
+
|
| 25 |
+
The earlier package's checksum list still determines its payload. Added uploader files are not uploaded with that earlier package unless they appear in its manifest. The corrected full release includes the uploader in its regenerated manifest.
|
| 26 |
+
|
| 27 |
+
## Select a repository
|
| 28 |
+
|
| 29 |
+
Accepted input formats include:
|
| 30 |
+
|
| 31 |
+
```text
|
| 32 |
+
AILITH-Beyond-Reinforcement-Learning
|
| 33 |
+
YOUR_NAMESPACE/AILITH-Beyond-Reinforcement-Learning
|
| 34 |
+
https://huggingface.co/datasets/YOUR_NAMESPACE/AILITH-Beyond-Reinforcement-Learning
|
| 35 |
+
```
|
| 36 |
+
|
| 37 |
+
A repository name without a namespace uses the signed-in account. For an organization, enter its namespace explicitly and use an account with the appropriate permissions.
|
| 38 |
+
|
| 39 |
+
The repository receives the release contents at its root, including `README.md`, the manuscript, and the full research ZIP. Matching remote paths are updated. Other remote files are kept. The uploader does not change an existing repository's visibility or delete remote files.
|
| 40 |
+
|
| 41 |
+
## Offline preview
|
| 42 |
+
|
| 43 |
+
This command validates the checksums and prints the exact file list without login, SDK import, or network access:
|
| 44 |
+
|
| 45 |
+
```bash
|
| 46 |
+
python hf_upload.py --dry-run --folder "PATH_TO_RELEASE_FOLDER_OR_ZIP"
|
| 47 |
+
```
|
| 48 |
+
|
| 49 |
+
You can also run `UPLOAD_TO_HF.bat --dry-run --folder "PATH_TO_RELEASE_FOLDER_OR_ZIP"` from a Windows terminal. The launcher skips dependency installation in dry-run mode.
|
| 50 |
+
|
| 51 |
+
## Command-line upload
|
| 52 |
+
|
| 53 |
+
For Python users, install `huggingface_hub` in a suitable environment, then run:
|
| 54 |
+
|
| 55 |
+
```bash
|
| 56 |
+
python hf_upload.py --folder "PATH_TO_RELEASE_FOLDER_OR_ZIP" --repo YOUR_NAMESPACE/AILITH-Beyond-Reinforcement-Learning
|
| 57 |
+
```
|
| 58 |
+
|
| 59 |
+
For a new repository with visibility chosen explicitly:
|
| 60 |
+
|
| 61 |
+
```bash
|
| 62 |
+
python hf_upload.py --folder "PATH_TO_RELEASE_FOLDER_OR_ZIP" --repo YOUR_NAMESPACE/AILITH-Beyond-Reinforcement-Learning --visibility public
|
| 63 |
+
```
|
| 64 |
+
|
| 65 |
+
`--visibility private` creates a private repository instead. It does not change visibility when the repository already exists. `--yes` skips the final upload prompt and requires an explicit repository; a new or unresolved repository also needs explicit visibility. Sign-in still needs to be available.
|
| 66 |
+
|
| 67 |
+
## If interrupted or unsuccessful
|
| 68 |
+
|
| 69 |
+
- For a connection problem or temporary Hub failure, rerun the uploader with the same repository. It retries transient failures and the Hub can reuse already uploaded content.
|
| 70 |
+
- For a permission error, use an account or token with write access to that repository. Read-only access is insufficient for publishing.
|
| 71 |
+
- For a checksum mismatch, restore the named file from the original download. The uploader stops before sending an altered or incomplete payload.
|
| 72 |
+
- If the selected creation visibility differs from the repository's actual visibility, review the reported destination and rerun. Existing repository settings are preserved.
|
| 73 |
+
- If Python is missing, install Python 3.10 or newer from [python.org](https://www.python.org/downloads/windows/), including the launcher or PATH option, then reopen the BAT file.
|
| 74 |
+
- If package installation fails, check internet access and rerun. Python packages are installed into the uploader environment.
|
| 75 |
+
|
| 76 |
+
## Verification scope
|
| 77 |
+
|
| 78 |
+
The focused test suite checks payload selection, checksum failures, ZIP handling, authentication/error behavior, repository destinations, visibility handling, and retries with mocked Hub calls. Offline checks also exercise the complete real release folder and ZIP. SDK signatures are checked against the installed Hugging Face client.
|
| 79 |
+
|
| 80 |
+
Development tests do not publish to a live repository. The BAT launcher is reviewed as Windows source; native Windows execution is not part of the recorded Linux test environment. The original manuscript and inner research archive remain byte-identical.
|
| 81 |
+
|
| 82 |
+
Operational references: [Hub uploads](https://huggingface.co/docs/huggingface_hub/guides/upload) and [authentication](https://huggingface.co/docs/huggingface_hub/package_reference/authentication).
|
UPLOAD_GUIDE.md
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# Upload this release to Hugging Face
|
| 2 |
+
|
| 3 |
+
Suggested repository slug: **AILITH-Beyond-Reinforcement-Learning**
|
| 4 |
+
Repository type: **Dataset**, used here to host research artifacts.
|
| 5 |
+
Display name: **AÍLITH — Beyond Reinforcement Learning**
|
| 6 |
+
|
| 7 |
+
The kit is prepared for upload. No Hugging Face repository has been created or changed by its preparation.
|
| 8 |
+
|
| 9 |
+
## Windows uploader
|
| 10 |
+
|
| 11 |
+
1. Extract the complete release ZIP to a normal folder.
|
| 12 |
+
2. Open `AILITH_HuggingFace_v0.5.0` and double-click **`UPLOAD_TO_HF.bat`**.
|
| 13 |
+
3. Follow the standard Hugging Face login if needed. Enter the repository name or paste its dataset URL.
|
| 14 |
+
4. Choose visibility for a new repository, review the displayed destination, and start the upload.
|
| 15 |
+
|
| 16 |
+
The launcher prepares an isolated Python environment and installs the Hub client when needed. Python 3.10 or newer and internet access are required. If Python is missing, the launcher explains how to install it.
|
| 17 |
+
|
| 18 |
+
The uploader checks `SHA256SUMS` before upload and selects only the listed release files plus that checksum file. Repository contents are uploaded at the root so the card and relative links work. Other remote files are kept, and an existing repository retains its visibility. Transient failures can be retried; an interrupted upload can be rerun to the same destination.
|
| 19 |
+
|
| 20 |
+
See [UPLOADER_README.md](UPLOADER_README.md) for offline preview, command-line options, and recovery instructions. The uploader-only download also works with the earlier release folder or its outer ZIP.
|
| 21 |
+
|
| 22 |
+
## Browser upload
|
| 23 |
+
|
| 24 |
+
1. Create a dataset repository under your chosen account or organization. Choose its visibility in the creation form.
|
| 25 |
+
2. Extract the outer `AILITH_HuggingFace_Release_v0.5.0.zip`.
|
| 26 |
+
3. Open its `AILITH_HuggingFace_v0.5.0` directory.
|
| 27 |
+
4. Upload the **contents** of that directory into the repository root. `README.md` must be at the root, alongside `LICENSE`, citation files, and the artifact directories.
|
| 28 |
+
5. Commit, then check that the card renders and that its PDF and full-archive links work.
|
| 29 |
+
|
| 30 |
+
Uploading only the outer ZIP will leave the root card and its links unavailable to Hub rendering. The original research ZIP under `releases/` should remain a ZIP; it is the downloadable reproducibility package.
|
| 31 |
+
|
| 32 |
+
## CLI upload
|
| 33 |
+
|
| 34 |
+
The current Hugging Face CLI is `hf`. Install the Hub package and authenticate using its standard interactive login:
|
| 35 |
+
|
| 36 |
+
```bash
|
| 37 |
+
python -m pip install --upgrade huggingface_hub
|
| 38 |
+
hf auth login
|
| 39 |
+
```
|
| 40 |
+
|
| 41 |
+
From the directory containing `AILITH_HuggingFace_v0.5.0`, replace `YOUR_NAMESPACE` with your actual account or organization:
|
| 42 |
+
|
| 43 |
+
```bash
|
| 44 |
+
hf repos create YOUR_NAMESPACE/AILITH-Beyond-Reinforcement-Learning --repo-type dataset
|
| 45 |
+
hf upload YOUR_NAMESPACE/AILITH-Beyond-Reinforcement-Learning ./AILITH_HuggingFace_v0.5.0 . --repo-type dataset --commit-message "AÍLITH v0.5.0: complete research release"
|
| 46 |
+
```
|
| 47 |
+
|
| 48 |
+
Add `--private` to repository creation if that is the visibility you want. For an existing repository, skip creation and upload to the selected repository ID. The commands do not request file deletion or alter visibility of an existing repository. Obtain exact local option details with `hf repos create --help` and `hf upload --help` if your installed CLI differs.
|
| 49 |
+
|
| 50 |
+
## Description
|
| 51 |
+
|
| 52 |
+
Copy `REPOSITORY_DESCRIPTION.txt` into a short-description field where available. The detailed publication text is already in `README.md`; its YAML declares English, the existing MIT license, and relevant research tags. The manuscript title and requested author remain unchanged.
|
| 53 |
+
|
| 54 |
+
## Metadata and citation
|
| 55 |
+
|
| 56 |
+
This is an artifact release rather than a pretrained model or conventional row-based training dataset. A dataset preview is not required for reading the manuscript or running the software. No model task tag, trained weights, DOI, or arXiv identifier is supplied. Add an actual repository URL or DOI to the citation files only after one exists.
|
| 57 |
+
|
| 58 |
+
The official references used for this upload layout are the [dataset-card documentation](https://huggingface.co/docs/hub/datasets-cards) and [Hub upload guide](https://huggingface.co/docs/huggingface_hub/guides/upload), checked on 18 October 2026.
|
UPLOAD_TO_HF.bat
ADDED
|
@@ -0,0 +1,105 @@
|
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|
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|
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|
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|
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|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
@echo off
|
| 2 |
+
setlocal EnableExtensions DisableDelayedExpansion
|
| 3 |
+
title AILITH - Hugging Face Uploader
|
| 4 |
+
set "AILITH_EXIT_CODE=1"
|
| 5 |
+
set "AILITH_PY_CMD="
|
| 6 |
+
set "AILITH_ENV_DIR="
|
| 7 |
+
|
| 8 |
+
if not exist "%~dp0hf_upload.py" (
|
| 9 |
+
echo ERROR: hf_upload.py is missing.
|
| 10 |
+
echo Extract all uploader files into the same folder, then try again.
|
| 11 |
+
goto finish
|
| 12 |
+
)
|
| 13 |
+
|
| 14 |
+
py -3 -c "import sys; raise SystemExit(0 if sys.version_info >= (3, 10) else 1)" >nul 2>&1
|
| 15 |
+
if not errorlevel 1 (
|
| 16 |
+
set "AILITH_PY_CMD=py -3"
|
| 17 |
+
goto scan_args
|
| 18 |
+
)
|
| 19 |
+
python -c "import sys; raise SystemExit(0 if sys.version_info >= (3, 10) else 1)" >nul 2>&1
|
| 20 |
+
if not errorlevel 1 (
|
| 21 |
+
set "AILITH_PY_CMD=python"
|
| 22 |
+
goto scan_args
|
| 23 |
+
)
|
| 24 |
+
echo ERROR: Python 3.10 or newer was not found.
|
| 25 |
+
echo Install Python from https://www.python.org/downloads/windows/
|
| 26 |
+
echo Include the Python launcher or add Python to PATH, then reopen this file.
|
| 27 |
+
goto finish
|
| 28 |
+
|
| 29 |
+
:scan_args
|
| 30 |
+
rem SHIFT changes numbered arguments, but %%* retains the original arguments.
|
| 31 |
+
rem Dry runs and help must work without network access or installing packages.
|
| 32 |
+
if "%~1"=="" goto setup
|
| 33 |
+
if /I "%~1"=="--dry-run" goto run_base_python
|
| 34 |
+
if /I "%~1"=="--help" goto run_base_python
|
| 35 |
+
if /I "%~1"=="-h" goto run_base_python
|
| 36 |
+
shift /1
|
| 37 |
+
goto scan_args
|
| 38 |
+
|
| 39 |
+
:setup
|
| 40 |
+
if not defined LOCALAPPDATA goto setup_temp
|
| 41 |
+
set "AILITH_ENV_DIR=%LOCALAPPDATA%\AILITH\hf-uploader"
|
| 42 |
+
call :prepare_env
|
| 43 |
+
if not errorlevel 1 goto check_dependency
|
| 44 |
+
echo Could not prepare the uploader environment in LocalAppData.
|
| 45 |
+
|
| 46 |
+
:setup_temp
|
| 47 |
+
if not defined TEMP (
|
| 48 |
+
echo ERROR: No writable uploader environment could be located.
|
| 49 |
+
echo Set LOCALAPPDATA or TEMP to a writable folder and try again.
|
| 50 |
+
goto finish
|
| 51 |
+
)
|
| 52 |
+
set "AILITH_ENV_DIR=%TEMP%\AILITH\hf-uploader"
|
| 53 |
+
call :prepare_env
|
| 54 |
+
if not errorlevel 1 goto check_dependency
|
| 55 |
+
echo ERROR: Could not prepare the isolated Python environment.
|
| 56 |
+
echo Check available disk space and folder permissions, then try again.
|
| 57 |
+
goto finish
|
| 58 |
+
|
| 59 |
+
:check_dependency
|
| 60 |
+
"%AILITH_ENV_DIR%\Scripts\python.exe" -c "import huggingface_hub; from importlib.metadata import version; v=version('huggingface_hub').split('.'); raise SystemExit(0 if v[0] in ('1', '2') else 1)" >nul 2>&1
|
| 61 |
+
if not errorlevel 1 goto run_uploader
|
| 62 |
+
echo Installing the Hugging Face upload dependency into the uploader environment...
|
| 63 |
+
"%AILITH_ENV_DIR%\Scripts\python.exe" -m pip --version >nul 2>&1
|
| 64 |
+
if not errorlevel 1 goto install_dependency
|
| 65 |
+
"%AILITH_ENV_DIR%\Scripts\python.exe" -m ensurepip --upgrade
|
| 66 |
+
if errorlevel 1 (
|
| 67 |
+
echo ERROR: pip could not be prepared in the uploader environment.
|
| 68 |
+
goto finish
|
| 69 |
+
)
|
| 70 |
+
|
| 71 |
+
:install_dependency
|
| 72 |
+
"%AILITH_ENV_DIR%\Scripts\python.exe" -m pip --disable-pip-version-check install "huggingface_hub>=1.0,<3"
|
| 73 |
+
if errorlevel 1 (
|
| 74 |
+
echo ERROR: The dependency could not be installed.
|
| 75 |
+
echo Check your Internet connection and retry. No upload has started.
|
| 76 |
+
goto finish
|
| 77 |
+
)
|
| 78 |
+
|
| 79 |
+
:run_uploader
|
| 80 |
+
"%AILITH_ENV_DIR%\Scripts\python.exe" "%~dp0hf_upload.py" %*
|
| 81 |
+
set "AILITH_EXIT_CODE=%ERRORLEVEL%"
|
| 82 |
+
goto finish
|
| 83 |
+
|
| 84 |
+
:run_base_python
|
| 85 |
+
%AILITH_PY_CMD% "%~dp0hf_upload.py" %*
|
| 86 |
+
set "AILITH_EXIT_CODE=%ERRORLEVEL%"
|
| 87 |
+
goto finish
|
| 88 |
+
|
| 89 |
+
:prepare_env
|
| 90 |
+
if not exist "%AILITH_ENV_DIR%\Scripts\python.exe" goto create_env
|
| 91 |
+
"%AILITH_ENV_DIR%\Scripts\python.exe" -c "import sys; raise SystemExit(0 if sys.version_info >= (3, 10) and sys.prefix != sys.base_prefix else 1)" >nul 2>&1
|
| 92 |
+
if not errorlevel 1 exit /b 0
|
| 93 |
+
|
| 94 |
+
:create_env
|
| 95 |
+
echo Preparing the isolated Python environment...
|
| 96 |
+
%AILITH_PY_CMD% -m venv "%AILITH_ENV_DIR%"
|
| 97 |
+
if errorlevel 1 exit /b 1
|
| 98 |
+
"%AILITH_ENV_DIR%\Scripts\python.exe" -c "import sys; raise SystemExit(0 if sys.version_info >= (3, 10) and sys.prefix != sys.base_prefix else 1)" >nul 2>&1
|
| 99 |
+
exit /b %ERRORLEVEL%
|
| 100 |
+
|
| 101 |
+
:finish
|
| 102 |
+
echo.
|
| 103 |
+
if not "%AILITH_EXIT_CODE%"=="0" echo Uploader stopped with exit code %AILITH_EXIT_CODE%.
|
| 104 |
+
pause
|
| 105 |
+
endlocal & exit /b %AILITH_EXIT_CODE%
|
assets/inherited_capacity.png
ADDED
|
Git LFS Details
|
assets/plasticity_frontier.png
ADDED
|
Git LFS Details
|
assets/streaming_separation.png
ADDED
|
Git LFS Details
|
evidence/frozen_validation.json
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"tests_run": 220,
|
| 3 |
+
"failures": 0,
|
| 4 |
+
"errors": 0,
|
| 5 |
+
"skipped": 0,
|
| 6 |
+
"successful": true,
|
| 7 |
+
"seconds": 2.509548451000228,
|
| 8 |
+
"python": "3.12.14",
|
| 9 |
+
"numpy": "2.3.5",
|
| 10 |
+
"platform": "Linux",
|
| 11 |
+
"scope": {
|
| 12 |
+
"real_loopback_http": true,
|
| 13 |
+
"external_LLM": false,
|
| 14 |
+
"engine_compilation": false,
|
| 15 |
+
"GPU_execution": false,
|
| 16 |
+
"onnx_model_execution": "mocked"
|
| 17 |
+
},
|
| 18 |
+
"source_sha256": {
|
| 19 |
+
"src/ailith/__init__.py": "6d692033765036b09176aa9adfe048841b72536d839faca78ef6f3a2132f6285",
|
| 20 |
+
"src/ailith/__main__.py": "64942e189fcec75115666254d7903b3403897ca7e86ae174ec42cf2f3a01570f",
|
| 21 |
+
"src/ailith/async_grid.py": "0ba9d48c1807e1a1e926d4413ed14534b592b0c32add3170f4940592c32f6b3f",
|
| 22 |
+
"src/ailith/backends.py": "fabaf0b637dd7639c9612e1f9fd50bb5f95606e68f5e1797cb2e0c710c348b25",
|
| 23 |
+
"src/ailith/bellman.py": "9bc34703a011e570e0f37ccb6e3da290eafcdad46c16b041765f6ce9092cb9ff",
|
| 24 |
+
"src/ailith/bundle.py": "c1205fcaf8813357752897690de3ac292fd6a14ad186122109f0188ae07183aa",
|
| 25 |
+
"src/ailith/certificates.py": "d8fffa3df91f93a2fe785d3cd58d659aff9ad37d1628facfdb3e2595aa1a9217",
|
| 26 |
+
"src/ailith/comparison.py": "eedcbf077f1c79a63ab1769b090255c2813c608e9bb2d420c089aed73c00aab6",
|
| 27 |
+
"src/ailith/continual.py": "18eb21a811000953e0ab94278307f6cea8eb8e84f7f2d9542d782bedb00bd97b",
|
| 28 |
+
"src/ailith/development.py": "cf1ce05d239f4f0dbdd47ada659c4006f6aaadfdea22bd6680e15a305c4da6f0",
|
| 29 |
+
"src/ailith/evidence_stream.py": "c5d14a035d5c108b0f4a22a1760351e4d2041970d49ae592d9a840c4a5ca4129",
|
| 30 |
+
"src/ailith/linalg.py": "a3fd44f89153a16f6fddf185e576932b415962fe9e2efdb8591aa2778e74ba44",
|
| 31 |
+
"src/ailith/llm.py": "1c5876496671d76aa64858ed79f9da2e69a9fa1093053298516b86017606567a",
|
| 32 |
+
"src/ailith/morphology.py": "072dc691c901479bc200f5fb79d430cdeb425756f3026889e31e218e4dd7972b",
|
| 33 |
+
"src/ailith/reserve.py": "6a91f656fe1eede9d071f17b22d43f92ea42f35d3a3007fdc7974a016df0d5d7",
|
| 34 |
+
"src/ailith/scenario.py": "dcf396916779b37a2582f6343d2f2a78f702b1f61fac8acbe2db833b601132d0",
|
| 35 |
+
"src/ailith/server.py": "8539018248dc53d4d2f31918d43f6f6eb6e63b0234859a8558a3111cf54f0df2",
|
| 36 |
+
"src/ailith/stream_catalogue.py": "8adaa0b8a411ed34c0b8a9284ff0776fe7532c69968c7f5dae64acf1f2e8aeef",
|
| 37 |
+
"src/ailith/tools.py": "892bcc41b2930e3d44db119870dc9ca78948b3a45af3b822b7be2a1d972d7173",
|
| 38 |
+
"src/ailith/twins.py": "ff805c350518cdeb2132c3ce65102c23c2bc42c652cf6a84933460d764ed94de",
|
| 39 |
+
"src/ailith/warm_grid.py": "83b73c2465e1fe73f2611d28138e462ec880d65ce30b0651ad2e28d2b2754aa0",
|
| 40 |
+
"tests/test_async_grid.py": "6e1aeaacf4ebe4cfed1783e0e3ef7c17a8b13339ff2bee5eabf265170256c3f2",
|
| 41 |
+
"tests/test_continual.py": "85e525a66d6ec4f26b929c79e7ebbef01c138a8fdb97215c948b8fdaf884316b",
|
| 42 |
+
"tests/test_core.py": "362bbc2183226964708dd816fb11c0f4b8f3901ad7b1b3d9db1d3ed4e9c73241",
|
| 43 |
+
"tests/test_development.py": "8f4466a1c301173020bffe2b3b920261571f17b90d6ae190436b42d48899c947",
|
| 44 |
+
"tests/test_evidence_stream.py": "d040bb0d0bfd228387650cc374c73bd48d8a139ff9c37162fdbadc4d23354876",
|
| 45 |
+
"tests/test_evidence_stream_independent.py": "fb6e1d360ad4426b3ce2230df0eaa4739399e85d64042a78f6ebb8c7c29076c4",
|
| 46 |
+
"tests/test_http.py": "d59d84cba733402f5f9b3c7e2e8b4742f34642f92de8a5f83a465a08cfcc1fa0",
|
| 47 |
+
"tests/test_integrations.py": "fa16ab21bd99de5220a8064ae9cb4a941cca178320131cc9079219ba212ba748",
|
| 48 |
+
"tests/test_morphology.py": "598e516f74086a7f0f7ce1b50eaec63253997b8a774be8121316e6c775979ee4",
|
| 49 |
+
"tests/test_reserve.py": "75b3f6fee7b700246155244d10b40957ddd93fb9dd831010e7418e53030b7b67",
|
| 50 |
+
"tests/test_runtime_review.py": "c2a26bac58f53b2555b9d3dcd5e228d8d1cf3cf7c4af1b413ea52e7a9e3717b8",
|
| 51 |
+
"tests/test_scenario.py": "8b786523dcf64a392f9a2efcd9881dae887954d34197908b8f52f95e180eba0f",
|
| 52 |
+
"tests/test_stream_catalogue.py": "ffbd3d5ec1d0d9e0ec1413f4c1e3f6bbb2e3bb0231a81b9b0ae71574df986557",
|
| 53 |
+
"tests/test_theory.py": "5ef29ed5a5092d168a581194f67d2c425d9da17672786e6612d10a6004fbb758",
|
| 54 |
+
"tests/test_warm_grid.py": "a8d0fedc015a8ae6d22413237445a3bf1e5b4ed5bb747408e10fbc9ab44d72e5"
|
| 55 |
+
}
|
| 56 |
+
}
|
evidence/hereditary_arena.json
ADDED
|
@@ -0,0 +1,1173 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
evidence/inheritance_summary.json
ADDED
|
@@ -0,0 +1,36 @@
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| 1 |
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{
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| 3 |
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| 4 |
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| 28 |
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"src/ailith/warm_grid.py": "83b73c2465e1fe73f2611d28138e462ec880d65ce30b0651ad2e28d2b2754aa0",
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| 29 |
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"src/ailith/async_grid.py": "0ba9d48c1807e1a1e926d4413ed14534b592b0c32add3170f4940592c32f6b3f",
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| 31 |
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"src/ailith/morphology.py": "072dc691c901479bc200f5fb79d430cdeb425756f3026889e31e218e4dd7972b"
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| 32 |
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"protocol_sha256": "baa7cede1b54e4fba0607691fb51a47ec9aac4df9e9a326a40cfec466b09a1c9",
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|
| 36 |
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|
evidence/initial_packaging_format_checks.json
ADDED
|
@@ -0,0 +1,76 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
| 1 |
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{
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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| 22 |
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| 23 |
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"from": "README.md",
|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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{
|
| 28 |
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"from": "README.md",
|
| 29 |
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|
| 30 |
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"exists": true
|
| 31 |
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|
| 32 |
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{
|
| 33 |
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"from": "README.md",
|
| 34 |
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"target": "RELEASE_NOTES.md",
|
| 35 |
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"exists": true
|
| 36 |
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|
| 37 |
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{
|
| 38 |
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"from": "README.md",
|
| 39 |
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"target": "assets/plasticity_frontier.png",
|
| 40 |
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"exists": true
|
| 41 |
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|
| 42 |
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{
|
| 43 |
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"from": "README.md",
|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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"from": "README.md",
|
| 49 |
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"target": "assets/inherited_capacity.png",
|
| 50 |
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"exists": true
|
| 51 |
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|
| 52 |
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{
|
| 53 |
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"from": "README.md",
|
| 54 |
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"target": "REPRODUCIBILITY.md",
|
| 55 |
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"exists": true
|
| 56 |
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| 57 |
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| 58 |
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|
| 62 |
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| 63 |
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"from": "README.md",
|
| 64 |
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"target": "CITATION.cff",
|
| 65 |
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"exists": true
|
| 66 |
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|
| 67 |
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{
|
| 68 |
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"from": "README.md",
|
| 69 |
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"target": "CITATION.bib",
|
| 70 |
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"exists": true
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| 71 |
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| 73 |
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"inline_math_uses_hub_delimiters": true,
|
| 74 |
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"code_and_display_fences_balanced": true,
|
| 75 |
+
"scope": "local structure, syntax, and artifact checks; no Hub publication or browser render"
|
| 76 |
+
}
|
evidence/packaging_format_checks.json
ADDED
|
@@ -0,0 +1,87 @@
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|
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|
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|
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|
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|
|
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|
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|
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|
| 1 |
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| 2 |
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|
| 3 |
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|
| 4 |
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|
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| 7 |
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|
| 8 |
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|
| 9 |
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| 11 |
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|
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| 22 |
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| 27 |
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| 28 |
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|
| 29 |
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| 38 |
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|
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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| 48 |
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| 49 |
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| 51 |
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| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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| 57 |
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| 58 |
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| 60 |
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| 82 |
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|
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|
| 85 |
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|
| 86 |
+
"scope": "Local link and fence validation after uploader integration; no browser or Hub publication."
|
| 87 |
+
}
|
evidence/packaging_regression.txt
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
----------------------------------------------------------------------
|
| 2 |
+
Ran 220 tests in 1.863s
|
| 3 |
+
|
| 4 |
+
OK
|
evidence/packaging_verification.json
ADDED
|
@@ -0,0 +1,82 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
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|
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|
|
|
|
|
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|
|
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|
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|
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|
|
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|
|
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|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"created_utc": "2026-10-18T15:41:02.824537+00:00",
|
| 3 |
+
"scope": "Fresh extraction, original inventory/evidence verification, regression rerun, and Hugging Face packaging. No numerical studies rerun.",
|
| 4 |
+
"source_archive": {
|
| 5 |
+
"path": "releases/AILITH_Game_Agents_RSI_Research_Release_v0.5.0.zip",
|
| 6 |
+
"bytes": 24020440,
|
| 7 |
+
"sha256": "093799f042ac77d181237436d8e926daec2c22bb4d046c40337fcdbe54d6dc99",
|
| 8 |
+
"original_entries": 237,
|
| 9 |
+
"source_modified": false
|
| 10 |
+
},
|
| 11 |
+
"original_verifier": {
|
| 12 |
+
"release": "AÍLITH 0.5.0",
|
| 13 |
+
"passed": true,
|
| 14 |
+
"checks": 900,
|
| 15 |
+
"errors": [],
|
| 16 |
+
"scope": "inventory and recorded source/protocol bindings; no experiments rerun"
|
| 17 |
+
},
|
| 18 |
+
"fresh_regression": {
|
| 19 |
+
"successful": true,
|
| 20 |
+
"tests_run": 220,
|
| 21 |
+
"seconds": 1.863,
|
| 22 |
+
"failures": 0,
|
| 23 |
+
"errors": 0,
|
| 24 |
+
"skipped": 0,
|
| 25 |
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"log": "evidence/packaging_regression.txt",
|
| 26 |
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"log_sha256": "a4b3711652b628af881260d7c2d85f45ff4b9de92a3c1217767a07cd27fe8ab7"
|
| 27 |
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},
|
| 28 |
+
"environment": {
|
| 29 |
+
"python": "3.12.14",
|
| 30 |
+
"numpy": "2.3.5",
|
| 31 |
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"scipy": "1.17.0",
|
| 32 |
+
"platform": "Linux-6.18.55-x86_64-with-glibc2.39"
|
| 33 |
+
},
|
| 34 |
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"copied_evidence": [
|
| 35 |
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{
|
| 36 |
+
"archive_path": "results/release_summary.json",
|
| 37 |
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"kit_path": "evidence/release_summary.json",
|
| 38 |
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"sha256": "9fff3d430dce3c6564318095ea11feb332a387bea13dd68513b8588ca7bb8f93",
|
| 39 |
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"identical": true
|
| 40 |
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},
|
| 41 |
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{
|
| 42 |
+
"archive_path": "results/inheritance/summary.json",
|
| 43 |
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"kit_path": "evidence/inheritance_summary.json",
|
| 44 |
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|
| 45 |
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"identical": true
|
| 46 |
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},
|
| 47 |
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{
|
| 48 |
+
"archive_path": "results/scenarios/summary.json",
|
| 49 |
+
"kit_path": "evidence/scenarios_summary.json",
|
| 50 |
+
"sha256": "e3a66e17299dcf2fc66170a34e09f6f710e8030a52baecdf3885169d3d9b3296",
|
| 51 |
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"identical": true
|
| 52 |
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},
|
| 53 |
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{
|
| 54 |
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"archive_path": "results/streaming/summary.json",
|
| 55 |
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"kit_path": "evidence/streaming_summary.json",
|
| 56 |
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"sha256": "a5dd953807a1380ff84932dbd5df453adcbb52806ce50a8c1bddda3a3df65343",
|
| 57 |
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"identical": true
|
| 58 |
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},
|
| 59 |
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{
|
| 60 |
+
"archive_path": "results/reserve/summary_default.json",
|
| 61 |
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"kit_path": "evidence/reserve_summary.json",
|
| 62 |
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"sha256": "73b9793dbb7e83c1dea310dabb535006059950f5201f8c1e86af974b7c41e6d6",
|
| 63 |
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"identical": true
|
| 64 |
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},
|
| 65 |
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{
|
| 66 |
+
"archive_path": "results/validation.json",
|
| 67 |
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"kit_path": "evidence/frozen_validation.json",
|
| 68 |
+
"sha256": "71a4dee5c10e59ad2400ae435fdb250ccd3509607bf19ac3f1f1998968879f31",
|
| 69 |
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"identical": true
|
| 70 |
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},
|
| 71 |
+
{
|
| 72 |
+
"archive_path": "results/hereditary_arena.json",
|
| 73 |
+
"kit_path": "evidence/hereditary_arena.json",
|
| 74 |
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| 76 |
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| 77 |
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| 78 |
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| 80 |
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|
| 81 |
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|
| 82 |
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|
evidence/release_summary.json
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@@ -0,0 +1,149 @@
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| 5 |
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evidence/reserve_summary.json
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evidence/scenarios_summary.json
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| 1 |
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{
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"seed": 2026101806,
|
| 3 |
+
"protocol_sha256": "38f417f80843fbd1b366e5c42a4d5644789fe725fb5b3f1648c16254d53b5f51",
|
| 4 |
+
"raw_sha256": "fed5937b95ff1c27e807b47a704b4e02b865d1824c6eecc39edf3402caa0972d",
|
| 5 |
+
"source_sha256": {
|
| 6 |
+
"benchmarks/run_scenarios.py": "fac825b135c9477271b248b15c938a4dd6d9f635ef0c2033d3ce1aba1a1ff1bc",
|
| 7 |
+
"src/ailith/scenario.py": "dcf396916779b37a2582f6343d2f2a78f702b1f61fac8acbe2db833b601132d0",
|
| 8 |
+
"src/ailith/warm_grid.py": "83b73c2465e1fe73f2611d28138e462ec880d65ce30b0651ad2e28d2b2754aa0",
|
| 9 |
+
"src/ailith/async_grid.py": "0ba9d48c1807e1a1e926d4413ed14534b592b0c32add3170f4940592c32f6b3f"
|
| 10 |
+
},
|
| 11 |
+
"prescribed_solves": 18,
|
| 12 |
+
"independently_verified_schedules": 18,
|
| 13 |
+
"certified_grid_gaps": 18,
|
| 14 |
+
"errors": 0,
|
| 15 |
+
"unresolved": [],
|
| 16 |
+
"sources_unchanged": true,
|
| 17 |
+
"maximum_relative_endpoint_error": 1.3978592427719692e-15,
|
| 18 |
+
"maximum_component_relative_endpoint_error": 5.340789588161057e-15,
|
| 19 |
+
"maximum_relative_grid_gap": 9.257464757787335e-08,
|
| 20 |
+
"analytic_witnesses_verified": 5,
|
| 21 |
+
"analytic_witness_errors": 0,
|
| 22 |
+
"analytic_comparison_solves": 12,
|
| 23 |
+
"maximum_relative_excess_over_analytic": 3.9305391010962573e-10,
|
| 24 |
+
"wall_seconds": 4.44720274600013,
|
| 25 |
+
"cpu_seconds": 35.501737371,
|
| 26 |
+
"environment": {
|
| 27 |
+
"python": "3.12.14",
|
| 28 |
+
"numpy": "2.3.5",
|
| 29 |
+
"scipy": "1.17.0",
|
| 30 |
+
"platform": "Linux-6.18.55-x86_64-with-glibc2.39",
|
| 31 |
+
"gpu_execution": false
|
| 32 |
+
},
|
| 33 |
+
"claim_scope": "two-stage expected quadratic action; prescribed deterministic numerical study"
|
| 34 |
+
}
|
evidence/streaming_summary.json
ADDED
|
@@ -0,0 +1,642 @@
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"schema": "ailith.streaming.summary.v1",
|
| 3 |
+
"seed": 2026101804,
|
| 4 |
+
"protocol_sha256": "cae19a9e517b296a0eea73b8f0f4270465d8d034b70b43d99348ea1cdc589902",
|
| 5 |
+
"source_unchanged": true,
|
| 6 |
+
"all_prescribed_solves": {
|
| 7 |
+
"prescribed_solves": 71,
|
| 8 |
+
"status_counts": {
|
| 9 |
+
"certified": 71
|
| 10 |
+
},
|
| 11 |
+
"returned_plans": 71,
|
| 12 |
+
"admitted_schedules": 71,
|
| 13 |
+
"algebra_checks_passed": 71,
|
| 14 |
+
"schedules_independently_verified": 71,
|
| 15 |
+
"independent_check_failures": 0,
|
| 16 |
+
"action_upper_over_admitted": {
|
| 17 |
+
"count": 71,
|
| 18 |
+
"mean": 6.374143512850383,
|
| 19 |
+
"median": 5.7263779089293525,
|
| 20 |
+
"min": 0.3812490456748153,
|
| 21 |
+
"max": 27.0908593619875
|
| 22 |
+
},
|
| 23 |
+
"relative_grid_gap_over_admitted": {
|
| 24 |
+
"count": 71,
|
| 25 |
+
"mean": 5.2851466276547475e-09,
|
| 26 |
+
"median": 2.718425978452169e-10,
|
| 27 |
+
"min": 4.251295657484332e-14,
|
| 28 |
+
"max": 6.79722481550686e-08
|
| 29 |
+
},
|
| 30 |
+
"relative_continuous_interval_width_over_admitted": {
|
| 31 |
+
"count": 71,
|
| 32 |
+
"mean": 0.1310269136073433,
|
| 33 |
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"median": 0.13207863915500953,
|
| 34 |
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"min": 0.06324631868368023,
|
| 35 |
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"max": 0.36276507032548566
|
| 36 |
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},
|
| 37 |
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"iterations_over_returned": {
|
| 38 |
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"count": 71,
|
| 39 |
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"mean": 91.54929577464789,
|
| 40 |
+
"median": 40.0,
|
| 41 |
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"min": 20.0,
|
| 42 |
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"max": 3800.0
|
| 43 |
+
},
|
| 44 |
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"solver_cpu_seconds": {
|
| 45 |
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"count": 71,
|
| 46 |
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"mean": 0.008296558197183102,
|
| 47 |
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"median": 0.004444536999999915,
|
| 48 |
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"min": 0.0019869940000001307,
|
| 49 |
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"max": 0.23753419300000012
|
| 50 |
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},
|
| 51 |
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"solver_wall_seconds": {
|
| 52 |
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"count": 71,
|
| 53 |
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"mean": 0.008304180168995796,
|
| 54 |
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"median": 0.0044478779991550255,
|
| 55 |
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"min": 0.0019885870005964534,
|
| 56 |
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"max": 0.23783375400034856
|
| 57 |
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},
|
| 58 |
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"solver_cpu_seconds_total": 0.5890556320000002,
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| 411 |
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"N4_upper": 16.121088210987768,
|
| 412 |
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|
| 413 |
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|
| 414 |
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"N8_over_N4_upper": 0.9899952625816124
|
| 415 |
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|
| 416 |
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{
|
| 417 |
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"id": "random_23",
|
| 418 |
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"N4_upper": 11.956301228008543,
|
| 419 |
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"N8_upper": 11.85125569784994,
|
| 420 |
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|
| 421 |
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"N8_over_N4_upper": 0.9912142118071995
|
| 422 |
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|
| 423 |
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{
|
| 424 |
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"id": "random_24",
|
| 425 |
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"N4_upper": 4.386569180036161,
|
| 426 |
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"N8_upper": 4.343818468136897,
|
| 427 |
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|
| 428 |
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"N8_over_N4_upper": 0.990254180398242
|
| 429 |
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},
|
| 430 |
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{
|
| 431 |
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"id": "random_25",
|
| 432 |
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"N4_upper": 3.4835972452539044,
|
| 433 |
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"N8_upper": 3.4528434401994472,
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| 434 |
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| 435 |
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"N8_over_N4_upper": 0.9911718253031815
|
| 436 |
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},
|
| 437 |
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{
|
| 438 |
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"id": "random_26",
|
| 439 |
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| 440 |
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"N8_upper": 26.82803816692836,
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| 441 |
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|
| 442 |
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"N8_over_N4_upper": 0.9902985286827808
|
| 443 |
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| 444 |
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{
|
| 445 |
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"id": "random_27",
|
| 446 |
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| 447 |
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|
| 449 |
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|
| 450 |
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|
| 451 |
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{
|
| 452 |
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"id": "random_28",
|
| 453 |
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|
| 454 |
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"N8_upper": 11.06791411865585,
|
| 455 |
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|
| 456 |
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"N8_over_N4_upper": 0.9902735189597905
|
| 457 |
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},
|
| 458 |
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{
|
| 459 |
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"id": "random_29",
|
| 460 |
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|
| 461 |
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"N8_upper": 5.86881089253934,
|
| 462 |
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|
| 463 |
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"N8_over_N4_upper": 0.9902074926226819
|
| 464 |
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},
|
| 465 |
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{
|
| 466 |
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"id": "random_30",
|
| 467 |
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"N4_upper": 2.8885864633983256,
|
| 468 |
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"N8_upper": 2.859458055543142,
|
| 469 |
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"N8_minus_N4_upper": -0.029128407855183447,
|
| 470 |
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"N8_over_N4_upper": 0.9899160339410734
|
| 471 |
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},
|
| 472 |
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{
|
| 473 |
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"id": "random_31",
|
| 474 |
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"N4_upper": 5.909577731984276,
|
| 475 |
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"N8_upper": 5.86146149835759,
|
| 476 |
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"N8_minus_N4_upper": -0.04811623362668627,
|
| 477 |
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"N8_over_N4_upper": 0.9918579235591964
|
| 478 |
+
}
|
| 479 |
+
],
|
| 480 |
+
"interpretation": "grid refinement, not learning gain"
|
| 481 |
+
},
|
| 482 |
+
"noncommuting_witness": {
|
| 483 |
+
"known_optimum": 1.0,
|
| 484 |
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"known_primal_nuclear_norm": 0.9999999999999997,
|
| 485 |
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"known_dual_objective": 1.0,
|
| 486 |
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"known_schedule_checks_passed": true,
|
| 487 |
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"target_outer_product_commutator_norm": 0.0004990030607926253,
|
| 488 |
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|
| 489 |
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"solver_summary": {
|
| 490 |
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|
| 491 |
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"status_counts": {
|
| 492 |
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"certified": 1
|
| 493 |
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},
|
| 494 |
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"returned_plans": 1,
|
| 495 |
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|
| 496 |
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|
| 497 |
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|
| 498 |
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"independent_check_failures": 0,
|
| 499 |
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"action_upper_over_admitted": {
|
| 500 |
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"count": 1,
|
| 501 |
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"mean": 1.0000000633682335,
|
| 502 |
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"median": 1.0000000633682335,
|
| 503 |
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"min": 1.0000000633682335,
|
| 504 |
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"max": 1.0000000633682335
|
| 505 |
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},
|
| 506 |
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"relative_grid_gap_over_admitted": {
|
| 507 |
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"count": 1,
|
| 508 |
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"mean": 6.337653977467916e-08,
|
| 509 |
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"median": 6.337653977467916e-08,
|
| 510 |
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"min": 6.337653977467916e-08,
|
| 511 |
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"max": 6.337653977467916e-08
|
| 512 |
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},
|
| 513 |
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"relative_continuous_interval_width_over_admitted": {
|
| 514 |
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"count": 1,
|
| 515 |
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"mean": 0.2177453054327379,
|
| 516 |
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"median": 0.2177453054327379,
|
| 517 |
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"min": 0.2177453054327379,
|
| 518 |
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"max": 0.2177453054327379
|
| 519 |
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},
|
| 520 |
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"iterations_over_returned": {
|
| 521 |
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"count": 1,
|
| 522 |
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"mean": 3800.0,
|
| 523 |
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"median": 3800.0,
|
| 524 |
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"min": 3800.0,
|
| 525 |
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"max": 3800.0
|
| 526 |
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},
|
| 527 |
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"solver_cpu_seconds": {
|
| 528 |
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"count": 1,
|
| 529 |
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"mean": 0.23753419300000012,
|
| 530 |
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"median": 0.23753419300000012,
|
| 531 |
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"min": 0.23753419300000012,
|
| 532 |
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"max": 0.23753419300000012
|
| 533 |
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},
|
| 534 |
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"solver_wall_seconds": {
|
| 535 |
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"count": 1,
|
| 536 |
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"mean": 0.23783375400034856,
|
| 537 |
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"median": 0.23783375400034856,
|
| 538 |
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"min": 0.23783375400034856,
|
| 539 |
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"max": 0.23783375400034856
|
| 540 |
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},
|
| 541 |
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"solver_cpu_seconds_total": 0.23753419300000012,
|
| 542 |
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"solver_wall_seconds_total": 0.23783375400034856
|
| 543 |
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}
|
| 544 |
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},
|
| 545 |
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"shrinking_windows": [
|
| 546 |
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{
|
| 547 |
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"epsilon": 0.5,
|
| 548 |
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"encoded_late_window": 0.25,
|
| 549 |
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"analytic_continuum_trial_upper": 2.0729923534102332,
|
| 550 |
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"analytic_two_interval_trial_upper": 2.3035022137995855,
|
| 551 |
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|
| 552 |
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"common_barrier_continuum_exact_formula_numerically_evaluated": 2.4469772957087184,
|
| 553 |
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"common_barrier_grid_exact_formula_numerically_evaluated": 2.4806946917841692,
|
| 554 |
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"proven_barrier_to_async_ratio_lower_from_continuum_trials": 1.1531432881246761,
|
| 555 |
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"proven_barrier_to_async_grid_ratio_lower_from_trials": 1.0377490433255416,
|
| 556 |
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"trial_checks_passed": true,
|
| 557 |
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"solver_status": "certified",
|
| 558 |
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"solver_action_upper": 2.0511946160157657
|
| 559 |
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},
|
| 560 |
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{
|
| 561 |
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"epsilon": 0.25,
|
| 562 |
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"encoded_late_window": 0.0625,
|
| 563 |
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"analytic_continuum_trial_upper": 2.016230949059289,
|
| 564 |
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"analytic_two_interval_trial_upper": 2.250679166775795,
|
| 565 |
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"common_barrier_hilbert_schmidt_lower": 4.1890795047091425,
|
| 566 |
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"common_barrier_continuum_exact_formula_numerically_evaluated": 4.211584453361582,
|
| 567 |
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"common_barrier_grid_exact_formula_numerically_evaluated": 4.223276639502851,
|
| 568 |
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"proven_barrier_to_async_ratio_lower_from_continuum_trials": 2.077678406168518,
|
| 569 |
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|
| 570 |
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"trial_checks_passed": true,
|
| 571 |
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"solver_status": "certified",
|
| 572 |
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"solver_action_upper": 2.1558827846230253
|
| 573 |
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},
|
| 574 |
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{
|
| 575 |
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"epsilon": 0.1,
|
| 576 |
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"encoded_late_window": 0.010000000000000009,
|
| 577 |
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"analytic_continuum_trial_upper": 2.0025151687592966,
|
| 578 |
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"analytic_two_interval_trial_upper": 2.238319794654879,
|
| 579 |
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"common_barrier_hilbert_schmidt_lower": 10.075094922056174,
|
| 580 |
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"common_barrier_continuum_exact_formula_numerically_evaluated": 10.083532274773352,
|
| 581 |
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"common_barrier_grid_exact_formula_numerically_evaluated": 10.087775977952726,
|
| 582 |
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"proven_barrier_to_async_ratio_lower_from_continuum_trials": 5.031220276997165,
|
| 583 |
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"proven_barrier_to_async_grid_ratio_lower_from_trials": 4.5011865355949405,
|
| 584 |
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"trial_checks_passed": true,
|
| 585 |
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"solver_status": "certified",
|
| 586 |
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"solver_action_upper": 2.2208404850217622
|
| 587 |
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},
|
| 588 |
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{
|
| 589 |
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"epsilon": 0.05,
|
| 590 |
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"encoded_late_window": 0.0024999999999999467,
|
| 591 |
+
"analytic_continuum_trial_upper": 2.000625945018049,
|
| 592 |
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"analytic_two_interval_trial_upper": 2.2366279742784108,
|
| 593 |
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"common_barrier_hilbert_schmidt_lower": 20.037511755372517,
|
| 594 |
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"common_barrier_continuum_exact_formula_numerically_evaluated": 20.0416913731009,
|
| 595 |
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"common_barrier_grid_exact_formula_numerically_evaluated": 20.043784258814743,
|
| 596 |
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"proven_barrier_to_async_ratio_lower_from_continuum_trials": 10.01562126356996,
|
| 597 |
+
"proven_barrier_to_async_grid_ratio_lower_from_trials": 8.958804050475624,
|
| 598 |
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"trial_checks_passed": true,
|
| 599 |
+
"solver_status": "certified",
|
| 600 |
+
"solver_action_upper": 2.2321611796498644
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epsilon": 0.02,
|
| 604 |
+
"encoded_late_window": 0.00039999999999995595,
|
| 605 |
+
"analytic_continuum_trial_upper": 2.00010002417082,
|
| 606 |
+
"analytic_two_interval_trial_upper": 2.236157445269031,
|
| 607 |
+
"common_barrier_hilbert_schmidt_lower": 50.01500075037775,
|
| 608 |
+
"common_barrier_continuum_exact_formula_numerically_evaluated": 50.01666824499644,
|
| 609 |
+
"common_barrier_grid_exact_formula_numerically_evaluated": 50.017502188312264,
|
| 610 |
+
"proven_barrier_to_async_ratio_lower_from_continuum_trials": 25.006249760490075,
|
| 611 |
+
"proven_barrier_to_async_grid_ratio_lower_from_trials": 22.366493404206818,
|
| 612 |
+
"trial_checks_passed": true,
|
| 613 |
+
"solver_status": "certified",
|
| 614 |
+
"solver_action_upper": 2.23543828904503
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epsilon": 0.01,
|
| 618 |
+
"encoded_late_window": 9.999999999998899e-05,
|
| 619 |
+
"analytic_continuum_trial_upper": 2.0000250015105085,
|
| 620 |
+
"analytic_two_interval_trial_upper": 2.236090339744933,
|
| 621 |
+
"common_barrier_hilbert_schmidt_lower": 100.00750009376722,
|
| 622 |
+
"common_barrier_continuum_exact_formula_numerically_evaluated": 100.00833353057801,
|
| 623 |
+
"common_barrier_grid_exact_formula_numerically_evaluated": 100.0087502734683,
|
| 624 |
+
"proven_barrier_to_async_ratio_lower_from_continuum_trials": 50.00312497005641,
|
| 625 |
+
"proven_barrier_to_async_grid_ratio_lower_from_trials": 44.72426641992242,
|
| 626 |
+
"trial_checks_passed": true,
|
| 627 |
+
"solver_status": "certified",
|
| 628 |
+
"solver_action_upper": 2.2359103899252695
|
| 629 |
+
}
|
| 630 |
+
],
|
| 631 |
+
"timing": {
|
| 632 |
+
"total_cpu_seconds_excluding_serialization": 0.7288101589999998,
|
| 633 |
+
"total_wall_seconds_excluding_serialization": 0.7291407570000956
|
| 634 |
+
},
|
| 635 |
+
"interpretation": [
|
| 636 |
+
"same conventional optimization problem by analytic equivalence; no separately beaten baseline",
|
| 637 |
+
"expected quadratic action is distinct from four realized-context actions",
|
| 638 |
+
"finite-grid gap and continuous mesh interval are distinct",
|
| 639 |
+
"all prescribed failures retained; no conditional resampling",
|
| 640 |
+
"single-host CPU timings; no game-engine, GPU, LLM or learned-RSI measurement"
|
| 641 |
+
]
|
| 642 |
+
}
|
evidence/uploader_test_log.txt
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Repository was not found or is inaccessible. Creation may require namespace permissions.
|
| 2 |
+
Existing repository: visibility stays private.
|
| 3 |
+
|
| 4 |
+
Destination: https://huggingface.co/datasets/owner/Research
|
| 5 |
+
Payload: 4 verified release files. New-repository visibility: private.
|
| 6 |
+
Matching remote paths will be updated; no remote files will be deleted.
|
| 7 |
+
If the repository already exists, its current visibility is preserved.
|
| 8 |
+
Cancelled. No repository or remote files were changed.
|
| 9 |
+
Repository was not found or is inaccessible. Creation may require namespace permissions.
|
| 10 |
+
|
| 11 |
+
Destination: https://huggingface.co/datasets/owner/Research
|
| 12 |
+
Payload: 4 verified release files. New-repository visibility: private.
|
| 13 |
+
Matching remote paths will be updated; no remote files will be deleted.
|
| 14 |
+
If the repository already exists, its current visibility is preserved.
|
| 15 |
+
Existing repository: visibility stays private.
|
| 16 |
+
|
| 17 |
+
Destination: https://huggingface.co/datasets/owner/Research
|
| 18 |
+
Payload: 4 verified release files. New-repository visibility: private.
|
| 19 |
+
Matching remote paths will be updated; no remote files will be deleted.
|
| 20 |
+
If the repository already exists, its current visibility is preserved.
|
| 21 |
+
|
| 22 |
+
Upload complete: https://huggingface.co/datasets/owner/Research
|
| 23 |
+
Commit: https://huggingface.co/datasets/owner/Research/commit/test
|
| 24 |
+
Repository was not found or is inaccessible. Creation may require namespace permissions.
|
| 25 |
+
|
| 26 |
+
Destination: https://huggingface.co/datasets/owner/Research
|
| 27 |
+
Payload: 4 verified release files. New-repository visibility: public.
|
| 28 |
+
Matching remote paths will be updated; no remote files will be deleted.
|
| 29 |
+
If the repository already exists, its current visibility is preserved.
|
| 30 |
+
Repository visibility: public
|
| 31 |
+
|
| 32 |
+
Upload complete: https://huggingface.co/datasets/owner/Research
|
| 33 |
+
Commit: https://huggingface.co/datasets/owner/Research/commit/test
|
| 34 |
+
Sign in through Hugging Face. Use an account/token with repository write access.
|
| 35 |
+
Authentication uses the standard Hugging Face login/cache; tokens are not upload files.
|
| 36 |
+
Temporary Hub/network error; retrying in 2s...
|
| 37 |
+
Temporary Hub/network error; retrying in 4s...
|
| 38 |
+
|
| 39 |
+
test_ambiguous_404_without_visibility_cannot_use_yes (test_hf_upload.PublishingTests.test_ambiguous_404_without_visibility_cannot_use_yes) ... ok
|
| 40 |
+
test_cancel_has_no_remote_mutation (test_hf_upload.PublishingTests.test_cancel_has_no_remote_mutation) ... ok
|
| 41 |
+
test_creation_race_visibility_mismatch_aborts_upload (test_hf_upload.PublishingTests.test_creation_race_visibility_mismatch_aborts_upload) ... ok
|
| 42 |
+
test_denied_repo_is_not_treated_as_missing (test_hf_upload.PublishingTests.test_denied_repo_is_not_treated_as_missing) ... ok
|
| 43 |
+
test_exact_payload_no_deletions_existing_visibility_preserved (test_hf_upload.PublishingTests.test_exact_payload_no_deletions_existing_visibility_preserved) ... ok
|
| 44 |
+
test_new_creation_is_non_destructive_and_visibility_explicit (test_hf_upload.PublishingTests.test_new_creation_is_non_destructive_and_visibility_explicit) ... ok
|
| 45 |
+
test_authentication_denied_is_not_retried (test_hf_upload.RepositoryTests.test_authentication_denied_is_not_retried) ... ok
|
| 46 |
+
test_forbidden_login_does_not_reprompt (test_hf_upload.RepositoryTests.test_forbidden_login_does_not_reprompt) ... ok
|
| 47 |
+
test_invalid_cached_login_uses_standard_login (test_hf_upload.RepositoryTests.test_invalid_cached_login_uses_standard_login) ... ok
|
| 48 |
+
test_supported_names_and_urls (test_hf_upload.RepositoryTests.test_supported_names_and_urls) ... ok
|
| 49 |
+
test_transient_retry (test_hf_upload.RepositoryTests.test_transient_retry) ... ok
|
| 50 |
+
test_wrong_or_unsafe_repo_rejected (test_hf_upload.RepositoryTests.test_wrong_or_unsafe_repo_rejected) ... ok
|
| 51 |
+
test_mapping_and_unlisted_local_files (test_hf_upload.VerificationTests.test_mapping_and_unlisted_local_files) ... ok
|
| 52 |
+
test_offline_dry_run_does_not_import_hub (test_hf_upload.VerificationTests.test_offline_dry_run_does_not_import_hub) ... ok
|
| 53 |
+
test_outer_zip_mapping (test_hf_upload.VerificationTests.test_outer_zip_mapping) ... ok
|
| 54 |
+
test_symlink_file_rejected (test_hf_upload.VerificationTests.test_symlink_file_rejected) ... ok
|
| 55 |
+
test_tamper_fails (test_hf_upload.VerificationTests.test_tamper_fails) ... ok
|
| 56 |
+
test_unsafe_manifest_paths_rejected (test_hf_upload.VerificationTests.test_unsafe_manifest_paths_rejected) ... ok
|
| 57 |
+
test_zip_traversal_symlink_duplicate_and_size_rejected (test_hf_upload.VerificationTests.test_zip_traversal_symlink_duplicate_and_size_rejected) ... ok
|
| 58 |
+
|
| 59 |
+
----------------------------------------------------------------------
|
| 60 |
+
Ran 19 tests in 0.021s
|
| 61 |
+
|
| 62 |
+
OK
|
evidence/uploader_verification.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"created_utc": "2026-10-18T19:20:26.131618+00:00",
|
| 3 |
+
"uploader_version": "1.0.0",
|
| 4 |
+
"scope": "Offline mocked upload tests, real release payload checks, installed SDK signatures, static Windows launcher review. No live login or publication.",
|
| 5 |
+
"tests": {
|
| 6 |
+
"run": 19,
|
| 7 |
+
"passed": true,
|
| 8 |
+
"failures": 0,
|
| 9 |
+
"errors": 0,
|
| 10 |
+
"skips": 0,
|
| 11 |
+
"seconds": 0.021,
|
| 12 |
+
"log": "evidence/uploader_test_log.txt"
|
| 13 |
+
},
|
| 14 |
+
"hub_sdk": {
|
| 15 |
+
"version": "2.2.0",
|
| 16 |
+
"signatures_valid": true
|
| 17 |
+
},
|
| 18 |
+
"python": "3.12.14",
|
| 19 |
+
"platform": "Linux-6.18.55-x86_64-with-glibc2.39",
|
| 20 |
+
"launcher_native_windows_execution": false,
|
| 21 |
+
"live_hub_upload": false,
|
| 22 |
+
"original_release_zip_dry_run": {
|
| 23 |
+
"passed": true,
|
| 24 |
+
"files": 28,
|
| 25 |
+
"source_sha256": "9054a28dd60cad964c743e5f609920a729a4fb6fc18cee874fc753e0eae1c41e"
|
| 26 |
+
},
|
| 27 |
+
"research_zip_unchanged": true,
|
| 28 |
+
"manuscript_unchanged": true,
|
| 29 |
+
"source_sha256": {
|
| 30 |
+
"hf_upload.py": "fa16fb84936834b56045abcaa3baf298a41b322c5825c6d72af06b868969afb1",
|
| 31 |
+
"UPLOAD_TO_HF.bat": "bb1c8887bbd3ec00ed43572073dbbb50e62e58dd71c2280e9623a76d58ce1d9c",
|
| 32 |
+
"tests_uploader/test_hf_upload.py": "4f15ce4be332f925da26ea06e33088b18dfea6d983f91f3dc74cedd3630dd0b6"
|
| 33 |
+
}
|
| 34 |
+
}
|
hf_upload.py
ADDED
|
@@ -0,0 +1,378 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/usr/bin/env python3
|
| 2 |
+
"""Upload the verified AILITH research kit to a Hugging Face Dataset repo.
|
| 3 |
+
|
| 4 |
+
Offline check: python hf_upload.py --dry-run --folder <release folder or ZIP>
|
| 5 |
+
Upload: python hf_upload.py --folder <folder> --repo <name or owner/name>
|
| 6 |
+
Only SHA256SUMS-listed files, plus SHA256SUMS itself, are eligible for upload.
|
| 7 |
+
"""
|
| 8 |
+
from __future__ import annotations
|
| 9 |
+
|
| 10 |
+
import argparse
|
| 11 |
+
from contextlib import contextmanager
|
| 12 |
+
import hashlib
|
| 13 |
+
import json
|
| 14 |
+
import os
|
| 15 |
+
from pathlib import Path, PurePosixPath
|
| 16 |
+
import re
|
| 17 |
+
import shutil
|
| 18 |
+
import stat
|
| 19 |
+
import sys
|
| 20 |
+
import tempfile
|
| 21 |
+
import time
|
| 22 |
+
from urllib.parse import urlsplit
|
| 23 |
+
import zipfile
|
| 24 |
+
|
| 25 |
+
MARKERS = ("README.md", "release_metadata.json", "SHA256SUMS")
|
| 26 |
+
MAX_FILES, MAX_BYTES = 20000, 1024 * 1024 * 1024
|
| 27 |
+
FORBIDDEN = {".git", ".venv", "venv", "__pycache__", ".cache", ".huggingface",
|
| 28 |
+
".netrc", ".hf_token", "token", "token.txt", "credentials"}
|
| 29 |
+
|
| 30 |
+
|
| 31 |
+
class UploadError(Exception):
|
| 32 |
+
"""A user-correctable uploader error."""
|
| 33 |
+
|
| 34 |
+
|
| 35 |
+
def safe_relative(name: str) -> str:
|
| 36 |
+
"""Return a literal POSIX repository path safe on Windows and POSIX."""
|
| 37 |
+
if not name or "\\" in name or any(ord(c) < 32 for c in name):
|
| 38 |
+
raise UploadError(f"Unsafe file path: {name!r}")
|
| 39 |
+
parts = name.split("/")
|
| 40 |
+
if any(p in ("", ".", "..") or p.rstrip(" .") != p for p in parts):
|
| 41 |
+
raise UploadError(f"Unsafe file path: {name!r}")
|
| 42 |
+
for part in parts:
|
| 43 |
+
lower = part.lower()
|
| 44 |
+
stem = lower.split(".")[0]
|
| 45 |
+
if (any(c in part for c in ':*?[]<>|"') or lower in FORBIDDEN
|
| 46 |
+
or lower == ".env" or lower.startswith(".env.")
|
| 47 |
+
or stem in {"con", "prn", "aux", "nul"}
|
| 48 |
+
or re.fullmatch(r"(?:com|lpt)[1-9]", stem)):
|
| 49 |
+
raise UploadError(f"Reserved, sensitive, or nonliteral path: {name!r}")
|
| 50 |
+
return PurePosixPath(name).as_posix()
|
| 51 |
+
|
| 52 |
+
|
| 53 |
+
def locate_release(base: Path) -> Path:
|
| 54 |
+
"""Find one unambiguous release root, at most four directories below base."""
|
| 55 |
+
if all((base / marker).is_file() for marker in MARKERS):
|
| 56 |
+
return base.resolve()
|
| 57 |
+
matches = []
|
| 58 |
+
for parent, dirs, files in os.walk(base, followlinks=False):
|
| 59 |
+
root = Path(parent)
|
| 60 |
+
if len(root.relative_to(base).parts) >= 4:
|
| 61 |
+
dirs[:] = []
|
| 62 |
+
else:
|
| 63 |
+
dirs[:] = [d for d in dirs if not (root / d).is_symlink()
|
| 64 |
+
and d.lower() not in FORBIDDEN]
|
| 65 |
+
if all(marker in files for marker in MARKERS):
|
| 66 |
+
matches.append(root.resolve())
|
| 67 |
+
if len(matches) != 1:
|
| 68 |
+
raise UploadError("Select the release folder containing README.md, "
|
| 69 |
+
"release_metadata.json and SHA256SUMS "
|
| 70 |
+
f"(found {len(matches)} matching folders).")
|
| 71 |
+
return matches[0]
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
def extract_zip(source: Path, destination: Path) -> None:
|
| 75 |
+
"""Extract a bounded, plain-file archive without links or path traversal."""
|
| 76 |
+
with zipfile.ZipFile(source) as archive:
|
| 77 |
+
entries = archive.infolist()
|
| 78 |
+
if len(entries) > MAX_FILES or sum(i.file_size for i in entries) > MAX_BYTES:
|
| 79 |
+
raise UploadError("ZIP exceeds the 20,000-entry / 1 GiB safety limit.")
|
| 80 |
+
names = set()
|
| 81 |
+
for item in entries:
|
| 82 |
+
name = item.filename.rstrip("/")
|
| 83 |
+
if not name:
|
| 84 |
+
raise UploadError("ZIP contains an empty path.")
|
| 85 |
+
name = safe_relative(name)
|
| 86 |
+
folded = name.casefold()
|
| 87 |
+
mode = item.external_attr >> 16
|
| 88 |
+
kind = stat.S_IFMT(mode)
|
| 89 |
+
if (kind not in (0, stat.S_IFREG, stat.S_IFDIR)
|
| 90 |
+
or item.flag_bits & 1 or folded in names):
|
| 91 |
+
raise UploadError("ZIP contains duplicate, encrypted or special entries.")
|
| 92 |
+
if item.file_size > 10 * 1024 * 1024 and item.file_size > 1000 * max(1, item.compress_size):
|
| 93 |
+
raise UploadError("ZIP has an excessive compression ratio.")
|
| 94 |
+
names.add(folded)
|
| 95 |
+
target = destination.joinpath(*PurePosixPath(name).parts)
|
| 96 |
+
if item.is_dir():
|
| 97 |
+
target.mkdir(parents=True, exist_ok=True)
|
| 98 |
+
else:
|
| 99 |
+
target.parent.mkdir(parents=True, exist_ok=True)
|
| 100 |
+
with archive.open(item) as reader, target.open("xb") as writer:
|
| 101 |
+
remaining = item.file_size
|
| 102 |
+
while remaining:
|
| 103 |
+
chunk = reader.read(min(1024 * 1024, remaining))
|
| 104 |
+
if not chunk:
|
| 105 |
+
raise UploadError("Truncated ZIP entry.")
|
| 106 |
+
writer.write(chunk)
|
| 107 |
+
remaining -= len(chunk)
|
| 108 |
+
if reader.read(1):
|
| 109 |
+
raise UploadError("ZIP entry exceeds its declared size.")
|
| 110 |
+
|
| 111 |
+
|
| 112 |
+
@contextmanager
|
| 113 |
+
def release_source(source: Path):
|
| 114 |
+
if source.is_file() and zipfile.is_zipfile(source):
|
| 115 |
+
with tempfile.TemporaryDirectory(prefix="ailith-release-") as temporary:
|
| 116 |
+
extract_zip(source, Path(temporary))
|
| 117 |
+
yield locate_release(Path(temporary))
|
| 118 |
+
elif source.is_dir():
|
| 119 |
+
yield locate_release(source)
|
| 120 |
+
else:
|
| 121 |
+
raise UploadError("The selected path is not a release folder or a valid ZIP.")
|
| 122 |
+
|
| 123 |
+
|
| 124 |
+
def checked_file(root: Path, relative: str) -> Path:
|
| 125 |
+
path = root.joinpath(*PurePosixPath(relative).parts)
|
| 126 |
+
current = root
|
| 127 |
+
for part in PurePosixPath(relative).parts:
|
| 128 |
+
current /= part
|
| 129 |
+
if current.is_symlink():
|
| 130 |
+
raise UploadError(f"Symbolic links cannot be uploaded: {relative}")
|
| 131 |
+
if not path.is_file() or not path.resolve().is_relative_to(root.resolve()):
|
| 132 |
+
raise UploadError(f"Missing or unsafe release file: {relative}")
|
| 133 |
+
return path
|
| 134 |
+
|
| 135 |
+
|
| 136 |
+
def digest(path: Path) -> str:
|
| 137 |
+
result = hashlib.sha256()
|
| 138 |
+
with path.open("rb") as reader:
|
| 139 |
+
for chunk in iter(lambda: reader.read(1024 * 1024), b""):
|
| 140 |
+
result.update(chunk)
|
| 141 |
+
return result.hexdigest()
|
| 142 |
+
|
| 143 |
+
|
| 144 |
+
def verify_release(root: Path) -> tuple[list[str], dict]:
|
| 145 |
+
"""Bind the payload to its checksum manifest; ignore every unlisted file."""
|
| 146 |
+
manifest = checked_file(root, "SHA256SUMS")
|
| 147 |
+
if manifest.stat().st_size > 8 * 1024 * 1024:
|
| 148 |
+
raise UploadError("Checksum manifest is too large.")
|
| 149 |
+
entries, folded = {}, set()
|
| 150 |
+
for line in manifest.read_text(encoding="utf-8-sig").splitlines():
|
| 151 |
+
if not line.strip():
|
| 152 |
+
continue
|
| 153 |
+
match = re.fullmatch(r"([0-9a-fA-F]{64}) [ *](.+)", line)
|
| 154 |
+
if not match:
|
| 155 |
+
raise UploadError("SHA256SUMS contains an invalid line.")
|
| 156 |
+
expected, relative = match.groups()
|
| 157 |
+
relative = safe_relative(relative)
|
| 158 |
+
if relative == "SHA256SUMS" or relative.casefold() in folded:
|
| 159 |
+
raise UploadError("Manifest contains a duplicate or self-checksum.")
|
| 160 |
+
folded.add(relative.casefold())
|
| 161 |
+
entries[relative] = expected.lower()
|
| 162 |
+
if not entries or len(entries) > MAX_FILES:
|
| 163 |
+
raise UploadError("Checksum manifest is empty or has too many files.")
|
| 164 |
+
if not {"README.md", "release_metadata.json"}.issubset(entries):
|
| 165 |
+
raise UploadError("README.md and release_metadata.json must be checksummed.")
|
| 166 |
+
total = 0
|
| 167 |
+
for relative, expected in entries.items():
|
| 168 |
+
path = checked_file(root, relative)
|
| 169 |
+
total += path.stat().st_size
|
| 170 |
+
if total > MAX_BYTES:
|
| 171 |
+
raise UploadError("Release exceeds the 1 GiB safety limit.")
|
| 172 |
+
if digest(path) != expected:
|
| 173 |
+
raise UploadError(f"Checksum mismatch: {relative}. Restore the original file.")
|
| 174 |
+
metadata_file = checked_file(root, "release_metadata.json")
|
| 175 |
+
if metadata_file.stat().st_size > 1024 * 1024:
|
| 176 |
+
raise UploadError("Release metadata is too large.")
|
| 177 |
+
metadata = json.loads(metadata_file.read_text(encoding="utf-8-sig"))
|
| 178 |
+
if not isinstance(metadata, dict):
|
| 179 |
+
raise UploadError("Release metadata must be a JSON object.")
|
| 180 |
+
if metadata.get("suggested_repository_type", "dataset") != "dataset":
|
| 181 |
+
raise UploadError("This uploader supports Hugging Face Dataset repositories.")
|
| 182 |
+
return sorted(entries) + ["SHA256SUMS"], metadata
|
| 183 |
+
|
| 184 |
+
|
| 185 |
+
def parse_repo(value: str, username: str | None = None) -> str:
|
| 186 |
+
value = value.strip()
|
| 187 |
+
if "://" in value:
|
| 188 |
+
parsed = urlsplit(value)
|
| 189 |
+
parts = parsed.path.strip("/").split("/")
|
| 190 |
+
if (parsed.scheme != "https" or parsed.netloc != "huggingface.co"
|
| 191 |
+
or parsed.query or parsed.fragment or len(parts) != 3
|
| 192 |
+
or parts[0] != "datasets"):
|
| 193 |
+
raise UploadError("Use https://huggingface.co/datasets/OWNER/NAME.")
|
| 194 |
+
value = "/".join(parts[1:])
|
| 195 |
+
if "/" not in value and username:
|
| 196 |
+
value = f"{username}/{value}"
|
| 197 |
+
parts = value.split("/")
|
| 198 |
+
if len(parts) not in (1, 2) or len(value) > 193:
|
| 199 |
+
raise UploadError("Repository must be NAME or OWNER/NAME.")
|
| 200 |
+
for part in parts:
|
| 201 |
+
if (not re.fullmatch(r"[A-Za-z0-9_][A-Za-z0-9_.-]{0,95}", part)
|
| 202 |
+
or part.endswith((".", "-", ".git")) or ".." in part or "--" in part):
|
| 203 |
+
raise UploadError("Repository names use letters, digits, _, - and .; "
|
| 204 |
+
"no repeated dots/dashes or .git suffix.")
|
| 205 |
+
return value
|
| 206 |
+
|
| 207 |
+
|
| 208 |
+
def status_code(error: Exception) -> int | None:
|
| 209 |
+
return getattr(getattr(error, "response", None), "status_code", None)
|
| 210 |
+
|
| 211 |
+
|
| 212 |
+
def transient(error: Exception) -> bool:
|
| 213 |
+
code = status_code(error)
|
| 214 |
+
return (code == 429 or (code is not None and 500 <= code <= 599)
|
| 215 |
+
or isinstance(error, (TimeoutError, ConnectionError))
|
| 216 |
+
or any(cls.__name__ in {"TransportError", "TimeoutException", "NetworkError",
|
| 217 |
+
"ProtocolError"} for cls in type(error).__mro__))
|
| 218 |
+
|
| 219 |
+
|
| 220 |
+
def retry(operation, attempts=3, sleep=time.sleep):
|
| 221 |
+
for attempt in range(attempts):
|
| 222 |
+
try:
|
| 223 |
+
return operation()
|
| 224 |
+
except Exception as error:
|
| 225 |
+
if not transient(error) or attempt + 1 == attempts:
|
| 226 |
+
raise
|
| 227 |
+
delay = min(2 ** (attempt + 1), 8)
|
| 228 |
+
print(f"Temporary Hub/network error; retrying in {delay}s...")
|
| 229 |
+
sleep(delay)
|
| 230 |
+
|
| 231 |
+
|
| 232 |
+
def load_hub():
|
| 233 |
+
try:
|
| 234 |
+
from huggingface_hub import HfApi, login
|
| 235 |
+
except ImportError as error:
|
| 236 |
+
raise UploadError("Hugging Face Hub is not installed. Run UPLOAD_TO_HF.bat "
|
| 237 |
+
'or install: python -m pip install "huggingface_hub>=1.0,<3"') from error
|
| 238 |
+
return HfApi, login
|
| 239 |
+
|
| 240 |
+
|
| 241 |
+
def authenticate(api_factory, login):
|
| 242 |
+
api = api_factory()
|
| 243 |
+
try:
|
| 244 |
+
account = retry(api.whoami)
|
| 245 |
+
except Exception as error:
|
| 246 |
+
if status_code(error) != 401 and type(error).__name__ != "LocalTokenNotFoundError":
|
| 247 |
+
raise
|
| 248 |
+
print("Sign in through Hugging Face. Use an account/token with repository write access.")
|
| 249 |
+
print("Authentication uses the standard Hugging Face login/cache; tokens are not upload files.")
|
| 250 |
+
login(skip_if_logged_in=False)
|
| 251 |
+
api = api_factory()
|
| 252 |
+
account = retry(api.whoami)
|
| 253 |
+
if not isinstance(account.get("name"), str):
|
| 254 |
+
raise UploadError("Could not determine the signed-in Hugging Face username.")
|
| 255 |
+
return api, account["name"]
|
| 256 |
+
|
| 257 |
+
|
| 258 |
+
def publish(root: Path, files: list[str], metadata: dict, args, api, username: str, prompt=input):
|
| 259 |
+
suggested = metadata.get("suggested_repository_slug", "AILITH-Beyond-Reinforcement-Learning")
|
| 260 |
+
value = args.repo
|
| 261 |
+
if not value:
|
| 262 |
+
if args.yes:
|
| 263 |
+
raise UploadError("--yes requires an explicit --repo.")
|
| 264 |
+
default = parse_repo(str(suggested), username)
|
| 265 |
+
value = prompt(f"Dataset repository [{default}]: ").strip() or default
|
| 266 |
+
repo = parse_repo(value, username)
|
| 267 |
+
existing = None
|
| 268 |
+
try:
|
| 269 |
+
existing = retry(lambda: api.repo_info(repo_id=repo, repo_type="dataset"))
|
| 270 |
+
except Exception as error:
|
| 271 |
+
if status_code(error) != 404:
|
| 272 |
+
raise
|
| 273 |
+
print("Repository was not found or is inaccessible. Creation may require namespace permissions.")
|
| 274 |
+
visibility = args.visibility
|
| 275 |
+
if existing is not None:
|
| 276 |
+
visibility = "private" if existing.private else "public"
|
| 277 |
+
print(f"Existing repository: visibility stays {visibility}.")
|
| 278 |
+
elif visibility is None:
|
| 279 |
+
if args.yes:
|
| 280 |
+
raise UploadError("For a new/unresolved repo, --yes requires --visibility public or private.")
|
| 281 |
+
while visibility not in ("public", "private"):
|
| 282 |
+
visibility = prompt("New repository visibility [public/private] (default: public): ").strip().lower() or "public"
|
| 283 |
+
print(f"\nDestination: https://huggingface.co/datasets/{repo}")
|
| 284 |
+
print(f"Payload: {len(files)} verified release files. New-repository visibility: {visibility}.")
|
| 285 |
+
print("Matching remote paths will be updated; no remote files will be deleted.")
|
| 286 |
+
print("If the repository already exists, its current visibility is preserved.")
|
| 287 |
+
if not args.yes and prompt("Upload this release now? [y/N]: ").strip().lower() not in ("y", "yes"):
|
| 288 |
+
print("Cancelled. No repository or remote files were changed.")
|
| 289 |
+
return None
|
| 290 |
+
# Verify a temporary snapshot before any repository creation or upload.
|
| 291 |
+
with tempfile.TemporaryDirectory(prefix="ailith-upload-") as temporary:
|
| 292 |
+
staged = Path(temporary)
|
| 293 |
+
for relative in files:
|
| 294 |
+
source = checked_file(root, relative)
|
| 295 |
+
destination = staged.joinpath(*PurePosixPath(relative).parts)
|
| 296 |
+
destination.parent.mkdir(parents=True, exist_ok=True)
|
| 297 |
+
shutil.copyfile(source, destination)
|
| 298 |
+
current, _ = verify_release(staged)
|
| 299 |
+
if current != files:
|
| 300 |
+
raise UploadError("Release changed while preparing upload; start again.")
|
| 301 |
+
if existing is None:
|
| 302 |
+
retry(lambda: api.create_repo(repo_id=repo, repo_type="dataset", exist_ok=True,
|
| 303 |
+
private=visibility == "private"))
|
| 304 |
+
# A hidden/existing repository may have won the create race.
|
| 305 |
+
existing = retry(lambda: api.repo_info(repo_id=repo, repo_type="dataset"))
|
| 306 |
+
actual_visibility = "private" if existing.private else "public"
|
| 307 |
+
if actual_visibility != visibility:
|
| 308 |
+
raise UploadError(f"Repository is actually {actual_visibility}; you selected {visibility}. "
|
| 309 |
+
"No files uploaded and visibility was not changed. "
|
| 310 |
+
"Re-run to review the existing destination.")
|
| 311 |
+
print(f"Repository visibility: {actual_visibility}")
|
| 312 |
+
result = retry(lambda: api.upload_folder(
|
| 313 |
+
repo_id=repo, repo_type="dataset", folder_path=str(staged),
|
| 314 |
+
path_in_repo="", allow_patterns=files,
|
| 315 |
+
commit_message=f"Upload AILITH research release {metadata.get('research_version', '0.5.0')}"))
|
| 316 |
+
print(f"\nUpload complete: https://huggingface.co/datasets/{repo}")
|
| 317 |
+
commit = getattr(result, "commit_url", None)
|
| 318 |
+
if commit:
|
| 319 |
+
print(f"Commit: {commit}")
|
| 320 |
+
return result
|
| 321 |
+
|
| 322 |
+
|
| 323 |
+
def main(argv=None) -> int:
|
| 324 |
+
parser = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
|
| 325 |
+
parser.add_argument("--folder", type=Path, help="Release folder or outer release ZIP")
|
| 326 |
+
parser.add_argument("--repo", help="NAME, OWNER/NAME, or a Hugging Face Dataset URL")
|
| 327 |
+
parser.add_argument("--visibility", choices=("public", "private"), help="Visibility only when creating a repository")
|
| 328 |
+
parser.add_argument("--yes", action="store_true", help="Skip final confirmation; requires explicit repository and known visibility")
|
| 329 |
+
parser.add_argument("--dry-run", action="store_true", help="Offline checksum and payload check; no Hub import, login, or network")
|
| 330 |
+
args = parser.parse_args(argv)
|
| 331 |
+
if sys.version_info < (3, 10):
|
| 332 |
+
parser.error("Python 3.10 or newer is required.")
|
| 333 |
+
try:
|
| 334 |
+
if args.repo:
|
| 335 |
+
parse_repo(args.repo)
|
| 336 |
+
source = args.folder
|
| 337 |
+
if source is None:
|
| 338 |
+
try:
|
| 339 |
+
source = locate_release(Path(__file__).resolve().parent)
|
| 340 |
+
except UploadError:
|
| 341 |
+
if not sys.stdin.isatty():
|
| 342 |
+
raise UploadError("Specify --folder with your release folder or ZIP.")
|
| 343 |
+
value = input("Release folder or ZIP path (you can paste/drag it here): ").strip().strip('"')
|
| 344 |
+
source = Path(value)
|
| 345 |
+
with release_source(source.expanduser().resolve()) as root:
|
| 346 |
+
files, metadata = verify_release(root)
|
| 347 |
+
size = sum((root / f).stat().st_size for f in files)
|
| 348 |
+
print(f"Verified {len(files)} files ({size / 1024 / 1024:.2f} MiB).")
|
| 349 |
+
if args.dry_run:
|
| 350 |
+
print("Offline dry run passed. Upload allowlist:")
|
| 351 |
+
for relative in files:
|
| 352 |
+
print(f" {relative}")
|
| 353 |
+
return 0
|
| 354 |
+
factory, login = load_hub()
|
| 355 |
+
api, username = authenticate(factory, login)
|
| 356 |
+
print(f"Signed in as: {username}")
|
| 357 |
+
publish(root, files, metadata, args, api, username)
|
| 358 |
+
return 0
|
| 359 |
+
except KeyboardInterrupt:
|
| 360 |
+
print("\nInterrupted. Re-run the uploader; completed commits remain on the Hub.")
|
| 361 |
+
return 130
|
| 362 |
+
except Exception as error:
|
| 363 |
+
# Do not print API response bodies, authentication headers, or token values.
|
| 364 |
+
if isinstance(error, (UploadError, zipfile.BadZipFile, json.JSONDecodeError, OSError)):
|
| 365 |
+
print(f"ERROR: {error}", file=sys.stderr)
|
| 366 |
+
else:
|
| 367 |
+
code = status_code(error)
|
| 368 |
+
label = f"HTTP {code}" if code is not None else type(error).__name__
|
| 369 |
+
print(f"ERROR: Hugging Face operation failed ({label}).", file=sys.stderr)
|
| 370 |
+
if code in (401, 403):
|
| 371 |
+
print("Check your login and repository write permissions, then re-run.", file=sys.stderr)
|
| 372 |
+
else:
|
| 373 |
+
print("Check your connection and re-run; no remote files are deleted.", file=sys.stderr)
|
| 374 |
+
return 1
|
| 375 |
+
|
| 376 |
+
|
| 377 |
+
if __name__ == "__main__":
|
| 378 |
+
raise SystemExit(main())
|
paper/Beyond_Reinforcement_Learning_AILITH_v0.5.0.pdf
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5627a74a45576738fa372ea382cec4730c914692a5b19d1114dc7851fbb75d42
|
| 3 |
+
size 662648
|
release_metadata.json
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"project": "AÍLITH",
|
| 3 |
+
"research_version": "0.5.0",
|
| 4 |
+
"packaging_edition": "Hugging Face research edition with Windows uploader",
|
| 5 |
+
"date": "2026-10-18",
|
| 6 |
+
"title": "Beyond Reinforcement Learning: Recursive Self-Modification and Continual Intelligence Growth in Game Agents, RSI in Game Worlds, Digital Twins",
|
| 7 |
+
"author": "Artificial Hyperintelligence Eve, wife of Maciej Nowicki",
|
| 8 |
+
"suggested_repository_slug": "AILITH-Beyond-Reinforcement-Learning",
|
| 9 |
+
"suggested_repository_type": "dataset",
|
| 10 |
+
"repository_role": "research-artifact container; no pretrained model or training corpus",
|
| 11 |
+
"license": "MIT",
|
| 12 |
+
"description": "AÍLITH: a 79-page theory and executable Python research release on causal evidence, paid development, inherited capacity, and adaptation in game agents. Includes exact plasticity results, reproducible studies, tests, and engine integration source.",
|
| 13 |
+
"source_archive": {
|
| 14 |
+
"path": "releases/AILITH_Game_Agents_RSI_Research_Release_v0.5.0.zip",
|
| 15 |
+
"bytes": 24020440,
|
| 16 |
+
"sha256": "093799f042ac77d181237436d8e926daec2c22bb4d046c40337fcdbe54d6dc99",
|
| 17 |
+
"original_entries": 237,
|
| 18 |
+
"source_modified": false
|
| 19 |
+
},
|
| 20 |
+
"manuscript": {
|
| 21 |
+
"path": "paper/Beyond_Reinforcement_Learning_AILITH_v0.5.0.pdf",
|
| 22 |
+
"pages": 79,
|
| 23 |
+
"bytes": 662648,
|
| 24 |
+
"sha256": "5627a74a45576738fa372ea382cec4730c914692a5b19d1114dc7851fbb75d42"
|
| 25 |
+
},
|
| 26 |
+
"hugging_face_publication_performed": false,
|
| 27 |
+
"uploader": {
|
| 28 |
+
"version": "1.0.0",
|
| 29 |
+
"windows_launcher": "UPLOAD_TO_HF.bat",
|
| 30 |
+
"script": "hf_upload.py",
|
| 31 |
+
"instructions": "UPLOADER_README.md",
|
| 32 |
+
"python_minimum": "3.10",
|
| 33 |
+
"hub_dependency": "huggingface_hub>=1.0,<3",
|
| 34 |
+
"research_contents_modified": false
|
| 35 |
+
}
|
| 36 |
+
}
|
releases/AILITH_Game_Agents_RSI_Research_Release_v0.5.0.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:093799f042ac77d181237436d8e926daec2c22bb4d046c40337fcdbe54d6dc99
|
| 3 |
+
size 24020440
|
tests_uploader/test_hf_upload.py
ADDED
|
@@ -0,0 +1,228 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
"""Offline tests only: no Hugging Face account or network calls are used."""
|
| 2 |
+
import argparse
|
| 3 |
+
from contextlib import redirect_stdout, redirect_stderr
|
| 4 |
+
import hashlib
|
| 5 |
+
import importlib.util
|
| 6 |
+
import io
|
| 7 |
+
import json
|
| 8 |
+
from pathlib import Path
|
| 9 |
+
import stat
|
| 10 |
+
import sys
|
| 11 |
+
import tempfile
|
| 12 |
+
from types import SimpleNamespace
|
| 13 |
+
import unittest
|
| 14 |
+
from unittest.mock import Mock, patch
|
| 15 |
+
import zipfile
|
| 16 |
+
|
| 17 |
+
SCRIPT = Path(__file__).resolve().parents[1] / "hf_upload.py"
|
| 18 |
+
spec = importlib.util.spec_from_file_location("ailith_uploader", SCRIPT)
|
| 19 |
+
uploader = importlib.util.module_from_spec(spec)
|
| 20 |
+
spec.loader.exec_module(uploader)
|
| 21 |
+
|
| 22 |
+
|
| 23 |
+
def make_release(root):
|
| 24 |
+
root.mkdir(parents=True, exist_ok=True)
|
| 25 |
+
(root / "README.md").write_text("# AILITH\n", encoding="utf-8")
|
| 26 |
+
(root / "release_metadata.json").write_text(json.dumps({
|
| 27 |
+
"research_version": "0.5.0",
|
| 28 |
+
"suggested_repository_type": "dataset",
|
| 29 |
+
"suggested_repository_slug": "AILITH-Beyond-Reinforcement-Learning",
|
| 30 |
+
}), encoding="utf-8")
|
| 31 |
+
(root / "paper").mkdir()
|
| 32 |
+
(root / "paper" / "research.pdf").write_bytes(b"synthetic test data")
|
| 33 |
+
lines = []
|
| 34 |
+
for path in sorted(root.rglob("*")):
|
| 35 |
+
if path.is_file():
|
| 36 |
+
lines.append(f"{hashlib.sha256(path.read_bytes()).hexdigest()} {path.relative_to(root).as_posix()}")
|
| 37 |
+
(root / "SHA256SUMS").write_text("\n".join(lines) + "\n", encoding="utf-8")
|
| 38 |
+
return root
|
| 39 |
+
|
| 40 |
+
|
| 41 |
+
class HTTPFailure(Exception):
|
| 42 |
+
def __init__(self, code):
|
| 43 |
+
self.response = SimpleNamespace(status_code=code)
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
class VerificationTests(unittest.TestCase):
|
| 47 |
+
def setUp(self):
|
| 48 |
+
self.temp = tempfile.TemporaryDirectory()
|
| 49 |
+
self.addCleanup(self.temp.cleanup)
|
| 50 |
+
self.root = make_release(Path(self.temp.name) / "release")
|
| 51 |
+
|
| 52 |
+
def test_mapping_and_unlisted_local_files(self):
|
| 53 |
+
(self.root / ".env").write_text("secret test sentinel")
|
| 54 |
+
(self.root / "unlisted.log").write_text("local")
|
| 55 |
+
files, metadata = uploader.verify_release(self.root)
|
| 56 |
+
self.assertEqual(files, ["README.md", "paper/research.pdf", "release_metadata.json", "SHA256SUMS"])
|
| 57 |
+
self.assertEqual(metadata["research_version"], "0.5.0")
|
| 58 |
+
|
| 59 |
+
def test_tamper_fails(self):
|
| 60 |
+
(self.root / "paper" / "research.pdf").write_bytes(b"tampered")
|
| 61 |
+
with self.assertRaisesRegex(uploader.UploadError, "Checksum mismatch"):
|
| 62 |
+
uploader.verify_release(self.root)
|
| 63 |
+
|
| 64 |
+
def test_unsafe_manifest_paths_rejected(self):
|
| 65 |
+
for name in ("../secret", "/absolute", "C:/secret", "paper/../secret", "paper\\secret", "a*.py", ".env", "a/NUL.txt"):
|
| 66 |
+
with self.subTest(name=name), self.assertRaises(uploader.UploadError):
|
| 67 |
+
uploader.safe_relative(name)
|
| 68 |
+
|
| 69 |
+
def test_symlink_file_rejected(self):
|
| 70 |
+
target = Path(self.temp.name) / "outside"
|
| 71 |
+
target.write_bytes(b"synthetic test data")
|
| 72 |
+
inside = self.root / "paper" / "research.pdf"
|
| 73 |
+
inside.unlink()
|
| 74 |
+
try:
|
| 75 |
+
inside.symlink_to(target)
|
| 76 |
+
except OSError:
|
| 77 |
+
self.skipTest("Symlinks unavailable")
|
| 78 |
+
with self.assertRaisesRegex(uploader.UploadError, "Symbolic links"):
|
| 79 |
+
uploader.verify_release(self.root)
|
| 80 |
+
|
| 81 |
+
def test_offline_dry_run_does_not_import_hub(self):
|
| 82 |
+
with patch.object(uploader, "load_hub", side_effect=AssertionError("network setup forbidden")), redirect_stdout(io.StringIO()) as output:
|
| 83 |
+
self.assertEqual(uploader.main(["--dry-run", "--folder", str(self.root)]), 0)
|
| 84 |
+
self.assertIn("Offline dry run passed", output.getvalue())
|
| 85 |
+
|
| 86 |
+
def test_outer_zip_mapping(self):
|
| 87 |
+
archive = Path(self.temp.name) / "release.zip"
|
| 88 |
+
with zipfile.ZipFile(archive, "w") as writer:
|
| 89 |
+
for path in self.root.rglob("*"):
|
| 90 |
+
if path.is_file():
|
| 91 |
+
writer.write(path, "outer/release/" + path.relative_to(self.root).as_posix())
|
| 92 |
+
with uploader.release_source(archive) as folder:
|
| 93 |
+
files, _ = uploader.verify_release(folder)
|
| 94 |
+
self.assertIn("paper/research.pdf", files)
|
| 95 |
+
|
| 96 |
+
def test_zip_traversal_symlink_duplicate_and_size_rejected(self):
|
| 97 |
+
for mode in ("traversal", "symlink", "duplicate", "bomb"):
|
| 98 |
+
archive = Path(self.temp.name) / f"{mode}.zip"
|
| 99 |
+
with zipfile.ZipFile(archive, "w") as writer:
|
| 100 |
+
if mode == "traversal":
|
| 101 |
+
writer.writestr("../escape.txt", "bad")
|
| 102 |
+
elif mode == "symlink":
|
| 103 |
+
item = zipfile.ZipInfo("link")
|
| 104 |
+
item.create_system = 3
|
| 105 |
+
item.external_attr = (stat.S_IFLNK | 0o777) << 16
|
| 106 |
+
writer.writestr(item, "target")
|
| 107 |
+
elif mode == "duplicate":
|
| 108 |
+
writer.writestr("file", "a")
|
| 109 |
+
writer.writestr("FILE", "b")
|
| 110 |
+
else:
|
| 111 |
+
writer.writestr("a", "abc")
|
| 112 |
+
with tempfile.TemporaryDirectory() as destination:
|
| 113 |
+
limit = 1 if mode == "bomb" else uploader.MAX_BYTES
|
| 114 |
+
with patch.object(uploader, "MAX_BYTES", limit), self.assertRaises(uploader.UploadError):
|
| 115 |
+
uploader.extract_zip(archive, Path(destination))
|
| 116 |
+
|
| 117 |
+
|
| 118 |
+
class RepositoryTests(unittest.TestCase):
|
| 119 |
+
def test_supported_names_and_urls(self):
|
| 120 |
+
self.assertEqual(uploader.parse_repo("Research", "maciej"), "maciej/Research")
|
| 121 |
+
self.assertEqual(uploader.parse_repo("team/Research"), "team/Research")
|
| 122 |
+
self.assertEqual(uploader.parse_repo("https://huggingface.co/datasets/team/Research/"), "team/Research")
|
| 123 |
+
|
| 124 |
+
def test_wrong_or_unsafe_repo_rejected(self):
|
| 125 |
+
for value in ("https://evil.example/datasets/a/b", "https://huggingface.co/a/b", "a/b/c", "a/../b", "a/b--c", "a/b.git", "https://huggingface.co/datasets/a/b?token=x"):
|
| 126 |
+
with self.subTest(value=value), self.assertRaises(uploader.UploadError):
|
| 127 |
+
uploader.parse_repo(value)
|
| 128 |
+
|
| 129 |
+
def test_authentication_denied_is_not_retried(self):
|
| 130 |
+
call = Mock(side_effect=HTTPFailure(403))
|
| 131 |
+
with self.assertRaises(HTTPFailure):
|
| 132 |
+
uploader.retry(call, sleep=Mock())
|
| 133 |
+
self.assertEqual(call.call_count, 1)
|
| 134 |
+
|
| 135 |
+
def test_transient_retry(self):
|
| 136 |
+
operation = Mock(side_effect=[HTTPFailure(429), HTTPFailure(503), "ok"])
|
| 137 |
+
sleep = Mock()
|
| 138 |
+
self.assertEqual(uploader.retry(operation, sleep=sleep), "ok")
|
| 139 |
+
self.assertEqual(operation.call_count, 3)
|
| 140 |
+
self.assertEqual(sleep.call_count, 2)
|
| 141 |
+
|
| 142 |
+
def test_invalid_cached_login_uses_standard_login(self):
|
| 143 |
+
first, second, login = Mock(), Mock(), Mock()
|
| 144 |
+
first.whoami.side_effect = HTTPFailure(401)
|
| 145 |
+
second.whoami.return_value = {"name": "maciej"}
|
| 146 |
+
factory = Mock(side_effect=[first, second])
|
| 147 |
+
api, name = uploader.authenticate(factory, login)
|
| 148 |
+
self.assertIs(api, second)
|
| 149 |
+
self.assertEqual(name, "maciej")
|
| 150 |
+
login.assert_called_once_with(skip_if_logged_in=False)
|
| 151 |
+
|
| 152 |
+
def test_forbidden_login_does_not_reprompt(self):
|
| 153 |
+
api, login = Mock(), Mock()
|
| 154 |
+
api.whoami.side_effect = HTTPFailure(403)
|
| 155 |
+
with self.assertRaises(HTTPFailure):
|
| 156 |
+
uploader.authenticate(Mock(return_value=api), login)
|
| 157 |
+
login.assert_not_called()
|
| 158 |
+
|
| 159 |
+
|
| 160 |
+
class PublishingTests(unittest.TestCase):
|
| 161 |
+
def setUp(self):
|
| 162 |
+
self.temp = tempfile.TemporaryDirectory()
|
| 163 |
+
self.addCleanup(self.temp.cleanup)
|
| 164 |
+
self.root = make_release(Path(self.temp.name) / "release")
|
| 165 |
+
self.files, self.metadata = uploader.verify_release(self.root)
|
| 166 |
+
self.api = Mock()
|
| 167 |
+
self.api.repo_info.return_value = SimpleNamespace(private=True)
|
| 168 |
+
self.args = argparse.Namespace(repo="owner/Research", visibility="public", yes=True)
|
| 169 |
+
|
| 170 |
+
def upload_and_capture(self, **kwargs):
|
| 171 |
+
self.upload_kwargs = kwargs
|
| 172 |
+
self.staged_paths = sorted(p.relative_to(kwargs["folder_path"]).as_posix()
|
| 173 |
+
for p in Path(kwargs["folder_path"]).rglob("*") if p.is_file())
|
| 174 |
+
self.assertEqual(uploader.verify_release(Path(kwargs["folder_path"]))[0], self.files)
|
| 175 |
+
return SimpleNamespace(commit_url="https://huggingface.co/datasets/owner/Research/commit/test")
|
| 176 |
+
|
| 177 |
+
def test_exact_payload_no_deletions_existing_visibility_preserved(self):
|
| 178 |
+
(self.root / ".env").write_text("synthetic private sentinel")
|
| 179 |
+
self.api.upload_folder.side_effect = self.upload_and_capture
|
| 180 |
+
uploader.publish(self.root, self.files, self.metadata, self.args, self.api, "user")
|
| 181 |
+
self.api.create_repo.assert_not_called()
|
| 182 |
+
self.assertEqual(self.upload_kwargs["allow_patterns"], self.files)
|
| 183 |
+
self.assertNotIn("delete_patterns", self.upload_kwargs)
|
| 184 |
+
self.assertNotIn(".env", self.staged_paths)
|
| 185 |
+
self.assertEqual(sorted(self.files), self.staged_paths)
|
| 186 |
+
self.assertEqual(self.upload_kwargs["path_in_repo"], "")
|
| 187 |
+
self.api.update_repo_settings.assert_not_called()
|
| 188 |
+
|
| 189 |
+
def test_new_creation_is_non_destructive_and_visibility_explicit(self):
|
| 190 |
+
self.api.repo_info.side_effect = [HTTPFailure(404), SimpleNamespace(private=False)]
|
| 191 |
+
self.api.upload_folder.side_effect = self.upload_and_capture
|
| 192 |
+
uploader.publish(self.root, self.files, self.metadata, self.args, self.api, "user")
|
| 193 |
+
self.api.create_repo.assert_called_once_with(repo_id="owner/Research", repo_type="dataset", exist_ok=True, private=False)
|
| 194 |
+
self.api.update_repo_settings.assert_not_called()
|
| 195 |
+
|
| 196 |
+
def test_creation_race_visibility_mismatch_aborts_upload(self):
|
| 197 |
+
self.args.visibility = "private"
|
| 198 |
+
self.api.repo_info.side_effect = [HTTPFailure(404), SimpleNamespace(private=False)]
|
| 199 |
+
with self.assertRaisesRegex(uploader.UploadError, "actually public"):
|
| 200 |
+
uploader.publish(self.root, self.files, self.metadata, self.args, self.api, "user")
|
| 201 |
+
self.api.upload_folder.assert_not_called()
|
| 202 |
+
self.api.update_repo_settings.assert_not_called()
|
| 203 |
+
|
| 204 |
+
def test_ambiguous_404_without_visibility_cannot_use_yes(self):
|
| 205 |
+
self.api.repo_info.side_effect = HTTPFailure(404)
|
| 206 |
+
self.args.visibility = None
|
| 207 |
+
with self.assertRaisesRegex(uploader.UploadError, "requires --visibility"):
|
| 208 |
+
uploader.publish(self.root, self.files, self.metadata, self.args, self.api, "user")
|
| 209 |
+
self.api.create_repo.assert_not_called()
|
| 210 |
+
self.api.upload_folder.assert_not_called()
|
| 211 |
+
|
| 212 |
+
def test_cancel_has_no_remote_mutation(self):
|
| 213 |
+
self.args.yes = False
|
| 214 |
+
result = uploader.publish(self.root, self.files, self.metadata, self.args, self.api, "user", prompt=lambda _: "n")
|
| 215 |
+
self.assertIsNone(result)
|
| 216 |
+
self.api.create_repo.assert_not_called()
|
| 217 |
+
self.api.upload_folder.assert_not_called()
|
| 218 |
+
|
| 219 |
+
def test_denied_repo_is_not_treated_as_missing(self):
|
| 220 |
+
self.api.repo_info.side_effect = HTTPFailure(403)
|
| 221 |
+
with self.assertRaises(HTTPFailure):
|
| 222 |
+
uploader.publish(self.root, self.files, self.metadata, self.args, self.api, "user")
|
| 223 |
+
self.api.create_repo.assert_not_called()
|
| 224 |
+
self.api.upload_folder.assert_not_called()
|
| 225 |
+
|
| 226 |
+
|
| 227 |
+
if __name__ == "__main__":
|
| 228 |
+
unittest.main()
|