Text Classification
GGUF
jev-style
English
jev
openjev
decision-model
typed-decisions
bonsai
ternary
local-inference
blackwell
conversational
Instructions to use ajh-code/Jev-Bonsai-Compass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- jev-style
How to use ajh-code/Jev-Bonsai-Compass with jev-style:
pip install jev-style # GGUF builds score through llama.cpp: build the jev-score binary once hf download ajh-code/Jev-Bonsai-Compass build_jev_score.sh jev_score.cpp --local-dir jev-score export JEV_SCORE_BIN=$(sh jev-score/build_jev_score.sh /path/to/llama.cpp | tail -n 1)
from jev_style import JevStyle, noul, choice js = JevStyle.from_pretrained("ajh-code/Jev-Bonsai-Compass") out = js.decide("I was charged twice for one order.", { "billing": noul("This message is about billing."), "team": choice("Which team should handle it?", ["billing", "shipping", "tech"]), }) print(out["answers"]["team"]["choice"]) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use ajh-code/Jev-Bonsai-Compass with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf ajh-code/Jev-Bonsai-Compass:Q2_0 # Run inference directly in the terminal: llama cli -hf ajh-code/Jev-Bonsai-Compass:Q2_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ajh-code/Jev-Bonsai-Compass:Q2_0 # Run inference directly in the terminal: llama cli -hf ajh-code/Jev-Bonsai-Compass:Q2_0
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf ajh-code/Jev-Bonsai-Compass:Q2_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf ajh-code/Jev-Bonsai-Compass:Q2_0
Use Docker
docker model run hf.co/ajh-code/Jev-Bonsai-Compass:Q2_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use ajh-code/Jev-Bonsai-Compass with Ollama:
ollama run hf.co/ajh-code/Jev-Bonsai-Compass:Q2_0
- Unsloth Desktop
- Pi
How to use ajh-code/Jev-Bonsai-Compass with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ajh-code/Jev-Bonsai-Compass:Q2_0
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "ajh-code/Jev-Bonsai-Compass:Q2_0" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use ajh-code/Jev-Bonsai-Compass with Docker Model Runner:
docker model run hf.co/ajh-code/Jev-Bonsai-Compass:Q2_0
- Lemonade
How to use ajh-code/Jev-Bonsai-Compass with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ajh-code/Jev-Bonsai-Compass:Q2_0
Run and chat with the model
lemonade run user.Jev-Bonsai-Compass-Q2_0
List all available models
lemonade list
- Hermes Agent
How to use ajh-code/Jev-Bonsai-Compass with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ajh-code/Jev-Bonsai-Compass:Q2_0
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default ajh-code/Jev-Bonsai-Compass:Q2_0
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use ajh-code/Jev-Bonsai-Compass with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf ajh-code/Jev-Bonsai-Compass:Q2_0
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "ajh-code/Jev-Bonsai-Compass:Q2_0" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Publish Jev-Bonsai-Compass runtime, adapter, card and evidence
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- .gitattributes +21 -0
- LICENSE +202 -0
- MANIFEST.json +239 -0
- NOTICE +30 -0
- README.md +62 -0
- adapters/broad-lr0.0001.adapter +3 -0
- benchmark-manifest.json +4241 -0
- benchmarks/LICENSE +202 -0
- benchmarks/NOTICE +3 -0
- benchmarks/numeric-regression.jsonl +0 -0
- bonsai-decision-runtime-0.1.0-source.tar.gz +3 -0
- bonsai_decision_runtime-0.1.0-py3-none-any.whl +0 -0
- evaluate.py +20 -0
- evidence/agent-final.json +948 -0
- evidence/agent-recovery-summary.json +92 -0
- evidence/core-base.json +26 -0
- evidence/core-current.json +26 -0
- evidence/core-preservation-audit.json +168 -0
- evidence/core-public-domains.json +150 -0
- evidence/core-resource-summary.json +34 -0
- evidence/core-selection.json +31 -0
- evidence/public-sources.json +106 -0
- examples/evaluation.jsonl +3 -0
- examples/requests.jsonl +3 -0
- licenses/base-weights-APACHE-2.0 +177 -0
- licenses/native-MIT +21 -0
- licenses/openjev-upstream-NOTICE +7 -0
- licenses/openjev-weight-terms +408 -0
- licenses/prism-bonsai-NOTICE +4 -0
- licenses/qwen-base-APACHE-2.0 +202 -0
- licenses/runtime-APACHE-2.0 +202 -0
- licenses/runtime-NOTICE +20 -0
- native-runtime.json +128 -0
- native/LICENSE +21 -0
- native/bin/libggml-base.so +3 -0
- native/bin/libggml-base.so.0 +3 -0
- native/bin/libggml-base.so.0.21.0 +3 -0
- native/bin/libggml-cpu.so +3 -0
- native/bin/libggml-cpu.so.0 +3 -0
- native/bin/libggml-cpu.so.0.21.0 +3 -0
- native/bin/libggml-cuda.so +3 -0
- native/bin/libggml-cuda.so.0 +3 -0
- native/bin/libggml-cuda.so.0.21.0 +3 -0
- native/bin/libggml.so +0 -0
- native/bin/libggml.so.0 +0 -0
- native/bin/libggml.so.0.21.0 +0 -0
- native/bin/libllama-cli-impl.so +3 -0
- native/bin/libllama-common.so +3 -0
- native/bin/libllama-common.so.0 +3 -0
- native/bin/libllama-common.so.0.2.0 +3 -0
.gitattributes
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Apache License
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"sha256": "94f29bbed6a22c35b992c5c6ebf0e7c92f13b836b90f36f461c9cf2f0f1d010d"
|
| 135 |
+
},
|
| 136 |
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"native/bin/libggml-base.so.0.21.0": {
|
| 137 |
+
"bytes": 939104,
|
| 138 |
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"sha256": "bb2e08d6d1d286044e210fccad6b87ad56cab9a905efca8c33493637d02770e4"
|
| 139 |
+
},
|
| 140 |
+
"native/bin/libggml-cpu.so.0.21.0": {
|
| 141 |
+
"bytes": 1421624,
|
| 142 |
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"sha256": "eed2acd145c161a1c902efe435d6879a1aa7481c1ac729b93d8911931d60fc00"
|
| 143 |
+
},
|
| 144 |
+
"native/bin/libggml-cuda.so.0.21.0": {
|
| 145 |
+
"bytes": 49193080,
|
| 146 |
+
"sha256": "b3be257e214b5d8264a57a56185d9612024ddee7f9bd38662f7e981a596353e1"
|
| 147 |
+
},
|
| 148 |
+
"native/bin/libggml.so.0.21.0": {
|
| 149 |
+
"bytes": 55384,
|
| 150 |
+
"sha256": "2b8b4cb00d91c894c432744a4e53206b033922949774b2c1fddc82690bfb6c80"
|
| 151 |
+
},
|
| 152 |
+
"native/bin/libllama-cli-impl.so": {
|
| 153 |
+
"bytes": 235344,
|
| 154 |
+
"sha256": "919317105262dcfda2b2a73235b27f435be63f85de672fd3ed0ac6f47c3ae69b"
|
| 155 |
+
},
|
| 156 |
+
"native/bin/libllama-common.so.0.2.0": {
|
| 157 |
+
"bytes": 5769016,
|
| 158 |
+
"sha256": "29149691e8cdba482142e324cb404f8b52fc28addd0f1b3f7d8b164468ca860c"
|
| 159 |
+
},
|
| 160 |
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"native/bin/libllama-server-impl.so": {
|
| 161 |
+
"bytes": 6863696,
|
| 162 |
+
"sha256": "e22898b4b47edbf8576222ea6fc25841de8ba66d1089bc08984b51dae4918e2a"
|
| 163 |
+
},
|
| 164 |
+
"native/bin/libllama.so.0.2.0": {
|
| 165 |
+
"bytes": 4617376,
|
| 166 |
+
"sha256": "a38adf43b9dc0e1d86620fa79d94a480f75d59733205cdd8d29281bacb397ba9"
|
| 167 |
+
},
|
| 168 |
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"native/bin/libmtmd.so.0.2.0": {
|
| 169 |
+
"bytes": 1874536,
|
| 170 |
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"sha256": "022c08839b66df4d936bc7a34f0386706e01aeb07f165a6a572636d5659be97a"
|
| 171 |
+
},
|
| 172 |
+
"native/bin/llama-server": {
|
| 173 |
+
"bytes": 18000,
|
| 174 |
+
"sha256": "9f89e204f245718c4d3efead026c0b9cedb062e416b3267a9ebaee2328f74328"
|
| 175 |
+
},
|
| 176 |
+
"native/source/local-qwen35.patch": {
|
| 177 |
+
"bytes": 1494,
|
| 178 |
+
"sha256": "ad6a3fac748a69d4d620906f534a01c36310e90a7f45adbe550ebc2f68718fba"
|
| 179 |
+
},
|
| 180 |
+
"prepare_public.py": {
|
| 181 |
+
"bytes": 2965,
|
| 182 |
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"sha256": "4ca639e3eaff12e250d25a5f5a290bc7e9377d580a23ae8ba16d0d722d9dffaf"
|
| 183 |
+
},
|
| 184 |
+
"profiles.json": {
|
| 185 |
+
"bytes": 985,
|
| 186 |
+
"sha256": "6a8e419361b690a461f3e022f694cb986694da628ed567951083f415708aa1a9"
|
| 187 |
+
},
|
| 188 |
+
"run.sh": {
|
| 189 |
+
"bytes": 2204,
|
| 190 |
+
"sha256": "0ce3fdff5b488398994338c18045a0f8e69c224437832224b616d8cc749afdc5"
|
| 191 |
+
},
|
| 192 |
+
"source/bonsai_runtime/LICENSE": {
|
| 193 |
+
"bytes": 11358,
|
| 194 |
+
"sha256": "cfc7749b96f63bd31c3c42b5c471bf756814053e847c10f3eb003417bc523d30"
|
| 195 |
+
},
|
| 196 |
+
"source/bonsai_runtime/NOTICE": {
|
| 197 |
+
"bytes": 1130,
|
| 198 |
+
"sha256": "c8f2a950c5e8dee0aff4e52da936b2e145ee800c6066d8edd526a427ac4163a4"
|
| 199 |
+
},
|
| 200 |
+
"source/bonsai_runtime/__init__.py": {
|
| 201 |
+
"bytes": 106,
|
| 202 |
+
"sha256": "535f8abf3a37bc38f9f8ebfe5839a7197a058994f466eaa28990cbec4164bca4"
|
| 203 |
+
},
|
| 204 |
+
"source/bonsai_runtime/__main__.py": {
|
| 205 |
+
"bytes": 31,
|
| 206 |
+
"sha256": "23799e542967e0ebb213accf23afdb375d9a6ace81c7f1a17c97c26e3bf1b206"
|
| 207 |
+
},
|
| 208 |
+
"source/bonsai_runtime/backend.py": {
|
| 209 |
+
"bytes": 6862,
|
| 210 |
+
"sha256": "dc84801d37fcb8c346e0358e41f72905d7c69d0afce43af2b6d2e3e868c15b6f"
|
| 211 |
+
},
|
| 212 |
+
"source/bonsai_runtime/decision.py": {
|
| 213 |
+
"bytes": 3495,
|
| 214 |
+
"sha256": "7c82bfbc99ae7328f4c82e35cc8b8a1042923383c58288b40f9553b7711d7bad"
|
| 215 |
+
},
|
| 216 |
+
"source/bonsai_runtime/numeric.py": {
|
| 217 |
+
"bytes": 9622,
|
| 218 |
+
"sha256": "500a225a671af1c2b7cc62907263bd0c7d97af87304b3c33b2ddfd60591d1564"
|
| 219 |
+
},
|
| 220 |
+
"source/bonsai_runtime/readout.py": {
|
| 221 |
+
"bytes": 2682,
|
| 222 |
+
"sha256": "911186ca5059f4e33faa9f5837f3403b0091ffeb54ed1c78d0991de34ef7d8dd"
|
| 223 |
+
},
|
| 224 |
+
"source/bonsai_runtime/service.py": {
|
| 225 |
+
"bytes": 6293,
|
| 226 |
+
"sha256": "a73a0f6f1b2f3f71a490f7702308c7e110260df26ffd132bd6625aabcb9f7a8a"
|
| 227 |
+
},
|
| 228 |
+
"source/pyproject.toml": {
|
| 229 |
+
"bytes": 588,
|
| 230 |
+
"sha256": "4d6ad17a3bb514d8241b21611c653d3cd1d875434163822d19624244ee564c75"
|
| 231 |
+
},
|
| 232 |
+
"validate_release.py": {
|
| 233 |
+
"bytes": 934,
|
| 234 |
+
"sha256": "b929980596ebda9f62e71183e6ca2b531d862381eb33be46fafc1c1001679caa"
|
| 235 |
+
}
|
| 236 |
+
},
|
| 237 |
+
"format_version": 1,
|
| 238 |
+
"version": "0.1.0"
|
| 239 |
+
}
|
NOTICE
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
| 1 |
+
Bonsai decision runtime
|
| 2 |
+
|
| 3 |
+
The newly packaged bonsai_runtime software is distributed under Apache-2.0.
|
| 4 |
+
This statement applies to the runtime package, not all files in the research
|
| 5 |
+
workspace, and does not relicense the bundled model or adapter weights.
|
| 6 |
+
|
| 7 |
+
Letter-option prompting/readout follows OpenJev's Apache-2.0 helper interface.
|
| 8 |
+
The local implementation is modified for the Prism native server, explicit
|
| 9 |
+
adapter profiles, compact numerical tools, and bounded local API entry points.
|
| 10 |
+
OpenJev project: https://huggingface.co/openjev/openjev
|
| 11 |
+
Its helper/ and serve/ code are Apache-2.0; its weights are CC-BY-NC-4.0.
|
| 12 |
+
This bundle includes a locally modified adapter descended from OpenJev weight
|
| 13 |
+
deltas. Its terms retain OpenJev's CC-BY-NC-4.0 noncommercial lineage. The
|
| 14 |
+
adapter is not licensed under the software's Apache-2.0 terms.
|
| 15 |
+
Changes from OpenJev: rank-32 factors were extracted from OpenJev/Qwen3.8-27B
|
| 16 |
+
weight differences, adapted for the unmodified Bonsai PQ2_0 base, and further
|
| 17 |
+
trained in local decision-preservation and fast-route experiments. The selected
|
| 18 |
+
artifact is `adapters/broad-lr0.0001.adapter` (GGUF-formatted bytes). OpenJev's original weights, license
|
| 19 |
+
and notice are at https://huggingface.co/openjev/openjev; the CC terms are at
|
| 20 |
+
https://creativecommons.org/licenses/by-nc/4.0/.
|
| 21 |
+
|
| 22 |
+
The bundled native llama.cpp runtime is MIT-licensed by the ggml authors. It
|
| 23 |
+
was built from PrismML-Eng/llama.cpp commit f0a2b5dc9ea066780b9b410d2c0f95d675859bf7
|
| 24 |
+
with the local qwen35 source change in native/source/local-qwen35.patch.
|
| 25 |
+
The bundled, byte-identical Prism Ternary-Bonsai-2-27B weights are Apache-2.0;
|
| 26 |
+
their ancestor Qwen3.8-27B is Apache-2.0. Preserve their licenses and notices.
|
| 27 |
+
|
| 28 |
+
The Python decision core has no tzdata dependency. The experimental agent
|
| 29 |
+
controller is excluded from this bundle. See MANIFEST.json for exact
|
| 30 |
+
artifacts and native-runtime.json for the tested build and its system dependencies.
|
README.md
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
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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 |
+
license: cc-by-nc-4.0
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
library_name: gguf
|
| 6 |
+
pipeline_tag: text-classification
|
| 7 |
+
base_model: prism-ml/Ternary-Bonsai-2-27B-gguf
|
| 8 |
+
tags:
|
| 9 |
+
- jev
|
| 10 |
+
- jev-style
|
| 11 |
+
- openjev
|
| 12 |
+
- decision-model
|
| 13 |
+
- typed-decisions
|
| 14 |
+
- gguf
|
| 15 |
+
- bonsai
|
| 16 |
+
- ternary
|
| 17 |
+
- local-inference
|
| 18 |
+
- blackwell
|
| 19 |
+
---
|
| 20 |
+
|
| 21 |
+
# Jev-Bonsai-Compass
|
| 22 |
+
|
| 23 |
+
A complete, local **Jev-style text decision** download: [Prism's Ternary Bonsai 2 27B](https://huggingface.co/prism-ml/Ternary-Bonsai-2-27B-gguf), a decision adapter derived from [OpenJev](https://huggingface.co/openjev/openjev), the tested native server, and a small Python decision API. This is an independent project, not an official Jev or OpenJev release. Fast choices use one short option-scoring pass without reasoning; numerical questions can use a checked CPU calculation.
|
| 24 |
+
|
| 25 |
+
## What was measured
|
| 26 |
+
|
| 27 |
+
| Local configuration | Correct on the same 720 text questions | Sampled GPU memory | Mean text-decision latency |
|
| 28 |
+
|---|---:|---:|---:|
|
| 29 |
+
| **Jev-Bonsai-Compass**, adapter + compact runtime | **611/720 (84.9%)** | **7,844 MiB**, one RTX 5080 | **177 ms** |
|
| 30 |
+
| Full OpenJev FP8 reference | 615/720 (85.4%) | 30,974 MiB total, two GPUs | 118 ms |
|
| 31 |
+
| Untuned Bonsai + the same compact runtime | 584/720 (81.1%) | 7,510 MiB, one RTX 5080 | 145 ms |
|
| 32 |
+
|
| 33 |
+
The 720 questions comprise 120 each from AG News, Emotion, BoolQ, SNLI, ARC-Challenge and a **20-intent subset** of Banking77. They used identical prompts and option order across the three local configurations. Current versus full OpenJev differs by four answers; a paired bootstrap interval for the accuracy difference is −2.50 to +1.25 percentage points. This does **not** establish formal parity, and it is **not** OpenJev's published 10,000-question or hosted Jev evaluation. The full reference used a different two-GPU serving stack, so its latency is not a same-hardware speed comparison. See [domain and method evidence](evidence/core-public-domains.json) and [benchmark metadata](benchmark-manifest.json).
|
| 34 |
+
|
| 35 |
+
Accuracy varies by task: this adapter scored 117/120 on science, 113/120 on the selected banking intents, **102/120 on SNLI**, and **65/120 on Emotion**. It scored 327/328 on reused, authored numerical regressions with compact calculator assistance; that is a system result, not raw-model arithmetic accuracy. [Numeric cases](benchmarks/numeric-regression.jsonl) and [summary evidence](evidence/core-current.json) are included. All timing and memory figures are serial local measurements with context 4,096 and one active request.
|
| 36 |
+
|
| 37 |
+
## Download and run
|
| 38 |
+
|
| 39 |
+
The complete repository includes one canonical Bonsai GGUF, the adapter, Python source and wheel, a Linux x86-64 native server and shared libraries, examples, licenses, and a [SHA-256 manifest](MANIFEST.json). The bundled native build targets NVIDIA Blackwell `sm_120a` and needs a driver plus CUDA 13, cuBLAS 13 and NCCL 2 system libraries. Python 3.10+ is required; the decision core itself has no third-party Python dependencies.
|
| 40 |
+
|
| 41 |
+
```bash
|
| 42 |
+
hf download ajh-code/Jev-Bonsai-Compass --local-dir Jev-Bonsai-Compass
|
| 43 |
+
cd Jev-Bonsai-Compass
|
| 44 |
+
python3 validate_release.py
|
| 45 |
+
bash run.sh serve --gpu 0 --host 127.0.0.1 --port 9304
|
| 46 |
+
```
|
| 47 |
+
|
| 48 |
+
In another terminal:
|
| 49 |
+
|
| 50 |
+
```bash
|
| 51 |
+
curl -s http://127.0.0.1:9304/v1/decide \
|
| 52 |
+
-H 'Content-Type: application/json' \
|
| 53 |
+
-d '{"state":"There are 9 boxes with 12 pens in each.","question":"How many pens are there?","options":[["a","108"],["b","96"],["c","21"]]}'
|
| 54 |
+
```
|
| 55 |
+
|
| 56 |
+
The result contains the selected option ID, method, timing and trace. `bash run.sh decide --input examples/requests.jsonl --gpu 0` processes JSONL without exposing HTTP. `bash run.sh serve --profile base --gpu 0` selects the untuned, Apache-licensed Bonsai path. The server has no authentication; use `--host 127.0.0.1` or a trusted network. For other GPU architectures, build a compatible [Prism llama.cpp fork](https://github.com/PrismML-Eng/llama.cpp) and pass `--binary /path/to/llama-server`.
|
| 57 |
+
|
| 58 |
+
## Scope and terms
|
| 59 |
+
|
| 60 |
+
The API accepts text `state`, `question`, and 2–26 `[id, description]` options at `POST /v1/decide`; it also provides `/health` and `/v1/capabilities`. It is **not** a drop-in `/v1/systemone` implementation, vision model, general chat model, or autonomous agent service. Option-relative scores are not guarantees of correctness. The separate experimental agent evidence is included for transparency but its controller is not part of this decision API.
|
| 61 |
+
|
| 62 |
+
The bundled adapter contains locally modified OpenJev-derived weight factors and retains **CC BY-NC 4.0** noncommercial terms. The unmodified Bonsai base weights are Apache 2.0, this Python software is Apache 2.0, and the native runtime is MIT. The [NOTICE](NOTICE), [licenses](licenses/) and [profile identities](profiles.json) distinguish the components. The adapter is GGUF-formatted data stored as `adapters/broad-lr0.0001.adapter`; `run.sh` loads it directly. The single `.gguf` file is the canonical base model used by both profiles.
|
adapters/broad-lr0.0001.adapter
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:4903a7c9fd91c9a89ad504716d8fb497a2fbe94a6158148e02ea0ae0237ac233
|
| 3 |
+
size 318802208
|
benchmark-manifest.json
ADDED
|
@@ -0,0 +1,4241 @@
|
|
|
|
|
|
|
|
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|
|
|
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| 1938 |
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|
| 1939 |
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|
| 1940 |
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{
|
| 1941 |
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| 1942 |
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|
| 1943 |
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|
| 1944 |
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{
|
| 1945 |
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| 1946 |
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| 1947 |
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| 1948 |
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{
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| 1949 |
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| 1950 |
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| 1951 |
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| 1952 |
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{
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| 1953 |
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| 1954 |
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| 1955 |
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| 1956 |
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{
|
| 1957 |
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| 1958 |
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| 1959 |
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| 1960 |
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| 1961 |
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| 1962 |
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| 1963 |
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| 1964 |
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| 1965 |
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| 1966 |
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| 1967 |
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| 1968 |
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| 1969 |
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| 1970 |
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| 1971 |
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| 1972 |
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| 1973 |
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| 1974 |
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| 1975 |
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| 1976 |
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| 1977 |
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| 1978 |
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| 1979 |
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| 1980 |
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| 1981 |
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| 1982 |
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| 1983 |
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| 1984 |
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| 1985 |
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| 1986 |
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| 1987 |
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| 1988 |
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| 1989 |
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| 1990 |
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| 1991 |
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| 1992 |
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| 1993 |
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| 3241 |
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| 3242 |
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|
| 3243 |
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| 3246 |
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| 3247 |
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| 3248 |
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| 3250 |
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| 3251 |
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|
| 3252 |
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|
| 3253 |
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| 3254 |
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{
|
| 3255 |
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| 3256 |
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| 3257 |
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|
| 3259 |
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| 3260 |
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| 3263 |
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| 3264 |
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| 3268 |
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| 3269 |
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| 3271 |
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| 3272 |
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| 3279 |
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| 3280 |
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| 3283 |
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| 3299 |
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| 3300 |
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| 3311 |
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| 3312 |
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| 3315 |
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| 3316 |
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| 3317 |
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| 3319 |
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| 3320 |
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| 3325 |
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| 3331 |
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| 3332 |
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| 3335 |
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| 3339 |
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| 3340 |
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| 3341 |
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| 3342 |
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| 3343 |
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| 3344 |
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| 3347 |
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| 3348 |
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| 3349 |
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| 3350 |
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| 3351 |
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| 3352 |
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| 3353 |
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| 3355 |
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| 3356 |
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| 3357 |
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| 3359 |
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| 3360 |
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| 3361 |
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| 3363 |
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| 3364 |
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| 3365 |
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| 3368 |
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| 3369 |
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| 3371 |
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| 3372 |
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| 3373 |
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| 3375 |
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| 3376 |
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| 3380 |
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| 3381 |
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| 3383 |
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| 3384 |
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| 3385 |
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| 3387 |
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| 3388 |
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| 3389 |
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| 3390 |
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{
|
| 3391 |
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| 3392 |
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|
| 3395 |
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|
| 3396 |
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| 3397 |
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| 3398 |
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| 3399 |
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| 3400 |
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| 3401 |
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{
|
| 3403 |
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|
| 3404 |
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|
| 3405 |
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| 3406 |
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|
| 3407 |
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|
| 3408 |
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| 3409 |
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| 3410 |
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| 3411 |
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| 3412 |
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| 3413 |
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{
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| 3415 |
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| 3416 |
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| 3417 |
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| 3419 |
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| 3420 |
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| 3421 |
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| 3423 |
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| 3424 |
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| 3425 |
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| 3427 |
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| 3428 |
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| 3431 |
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| 3432 |
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| 3433 |
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| 3435 |
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| 3436 |
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| 3437 |
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| 3439 |
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| 3445 |
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| 3449 |
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| 3450 |
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|
| 3451 |
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| 3452 |
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| 3453 |
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| 3460 |
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| 3464 |
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| 3465 |
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| 3467 |
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| 3469 |
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| 3475 |
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| 3480 |
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| 3521 |
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| 3525 |
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| 3553 |
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| 3556 |
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| 3557 |
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| 3559 |
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| 3560 |
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| 3561 |
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|
| 3563 |
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| 3564 |
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| 3565 |
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| 3567 |
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| 3568 |
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| 3569 |
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| 3570 |
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{
|
| 3571 |
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|
| 3572 |
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|
| 3573 |
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|
| 3574 |
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{
|
| 3575 |
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|
| 3577 |
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| 3579 |
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|
| 3580 |
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|
| 3581 |
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|
| 3583 |
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|
| 3584 |
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|
| 3585 |
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| 3586 |
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|
| 3587 |
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|
| 3588 |
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|
| 3589 |
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| 3590 |
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| 3591 |
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| 3592 |
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| 3593 |
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| 3595 |
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|
| 3596 |
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|
| 3597 |
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|
| 3598 |
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{
|
| 3599 |
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|
| 3600 |
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|
| 3601 |
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|
| 3602 |
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{
|
| 3603 |
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"id": "numeric-fresh-percentage-change-004",
|
| 3604 |
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|
| 3605 |
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|
| 3606 |
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{
|
| 3607 |
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"id": "numeric-fresh-percentage-change-011",
|
| 3608 |
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|
| 3609 |
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|
| 3610 |
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{
|
| 3611 |
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"id": "numeric-fresh-round-currency-013",
|
| 3612 |
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|
| 3613 |
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|
| 3614 |
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{
|
| 3615 |
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"id": "numeric-fresh-missing-price-000",
|
| 3616 |
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|
| 3617 |
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|
| 3618 |
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{
|
| 3619 |
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"id": "numeric-fresh-overnight-time-006",
|
| 3620 |
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|
| 3621 |
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|
| 3622 |
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{
|
| 3623 |
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"id": "numeric-fresh-percentage-change-009",
|
| 3624 |
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|
| 3625 |
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|
| 3626 |
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{
|
| 3627 |
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"id": "numeric-fresh-compare-mass-015",
|
| 3628 |
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|
| 3629 |
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|
| 3630 |
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{
|
| 3631 |
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"id": "numeric-fresh-mixed-distance-015",
|
| 3632 |
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|
| 3633 |
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|
| 3634 |
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{
|
| 3635 |
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"id": "numeric-fresh-compare-mass-005",
|
| 3636 |
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|
| 3637 |
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|
| 3638 |
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{
|
| 3639 |
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"id": "numeric-fresh-compare-mass-016",
|
| 3640 |
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|
| 3641 |
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|
| 3642 |
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{
|
| 3643 |
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"id": "numeric-fresh-parallel-rates-005",
|
| 3644 |
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|
| 3645 |
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},
|
| 3646 |
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{
|
| 3647 |
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"id": "numeric-fresh-irrelevant-inventory-015",
|
| 3648 |
+
"domain": "numeric-fresh"
|
| 3649 |
+
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|
| 3650 |
+
{
|
| 3651 |
+
"id": "numeric-fresh-round-currency-008",
|
| 3652 |
+
"domain": "numeric-fresh"
|
| 3653 |
+
},
|
| 3654 |
+
{
|
| 3655 |
+
"id": "numeric-fresh-compare-mass-013",
|
| 3656 |
+
"domain": "numeric-fresh"
|
| 3657 |
+
},
|
| 3658 |
+
{
|
| 3659 |
+
"id": "numeric-fresh-whole-packages-015",
|
| 3660 |
+
"domain": "numeric-fresh"
|
| 3661 |
+
},
|
| 3662 |
+
{
|
| 3663 |
+
"id": "numeric-fresh-identifier-distraction-016",
|
| 3664 |
+
"domain": "numeric-fresh"
|
| 3665 |
+
},
|
| 3666 |
+
{
|
| 3667 |
+
"id": "numeric-fresh-percentage-change-005",
|
| 3668 |
+
"domain": "numeric-fresh"
|
| 3669 |
+
},
|
| 3670 |
+
{
|
| 3671 |
+
"id": "numeric-fresh-round-currency-014",
|
| 3672 |
+
"domain": "numeric-fresh"
|
| 3673 |
+
},
|
| 3674 |
+
{
|
| 3675 |
+
"id": "numeric-fresh-overnight-time-004",
|
| 3676 |
+
"domain": "numeric-fresh"
|
| 3677 |
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},
|
| 3678 |
+
{
|
| 3679 |
+
"id": "numeric-fresh-round-currency-004",
|
| 3680 |
+
"domain": "numeric-fresh"
|
| 3681 |
+
},
|
| 3682 |
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{
|
| 3683 |
+
"id": "numeric-fresh-irrelevant-inventory-005",
|
| 3684 |
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"domain": "numeric-fresh"
|
| 3685 |
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|
| 3686 |
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{
|
| 3687 |
+
"id": "numeric-fresh-whole-packages-004",
|
| 3688 |
+
"domain": "numeric-fresh"
|
| 3689 |
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},
|
| 3690 |
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{
|
| 3691 |
+
"id": "numeric-fresh-parallel-rates-007",
|
| 3692 |
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"domain": "numeric-fresh"
|
| 3693 |
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},
|
| 3694 |
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{
|
| 3695 |
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"id": "numeric-fresh-mixed-distance-018",
|
| 3696 |
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"domain": "numeric-fresh"
|
| 3697 |
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},
|
| 3698 |
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{
|
| 3699 |
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"id": "numeric-fresh-temperature-change-006",
|
| 3700 |
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"domain": "numeric-fresh"
|
| 3701 |
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},
|
| 3702 |
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{
|
| 3703 |
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"id": "numeric-fresh-identifier-distraction-004",
|
| 3704 |
+
"domain": "numeric-fresh"
|
| 3705 |
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},
|
| 3706 |
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{
|
| 3707 |
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"id": "numeric-fresh-mixed-money-012",
|
| 3708 |
+
"domain": "numeric-fresh"
|
| 3709 |
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},
|
| 3710 |
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{
|
| 3711 |
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"id": "numeric-fresh-temperature-change-008",
|
| 3712 |
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"domain": "numeric-fresh"
|
| 3713 |
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},
|
| 3714 |
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{
|
| 3715 |
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"id": "numeric-fresh-temperature-change-010",
|
| 3716 |
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"domain": "numeric-fresh"
|
| 3717 |
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},
|
| 3718 |
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{
|
| 3719 |
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"id": "numeric-fresh-temperature-change-004",
|
| 3720 |
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"domain": "numeric-fresh"
|
| 3721 |
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},
|
| 3722 |
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{
|
| 3723 |
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"id": "numeric-fresh-missing-price-018",
|
| 3724 |
+
"domain": "numeric-fresh"
|
| 3725 |
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},
|
| 3726 |
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{
|
| 3727 |
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"id": "numeric-fresh-whole-packages-001",
|
| 3728 |
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"domain": "numeric-fresh"
|
| 3729 |
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},
|
| 3730 |
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{
|
| 3731 |
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"id": "numeric-fresh-compare-mass-008",
|
| 3732 |
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"domain": "numeric-fresh"
|
| 3733 |
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},
|
| 3734 |
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{
|
| 3735 |
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"id": "numeric-fresh-mixed-distance-016",
|
| 3736 |
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"domain": "numeric-fresh"
|
| 3737 |
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},
|
| 3738 |
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{
|
| 3739 |
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"id": "numeric-fresh-whole-packages-016",
|
| 3740 |
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"domain": "numeric-fresh"
|
| 3741 |
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},
|
| 3742 |
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{
|
| 3743 |
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"id": "numeric-fresh-irrelevant-inventory-018",
|
| 3744 |
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"domain": "numeric-fresh"
|
| 3745 |
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},
|
| 3746 |
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{
|
| 3747 |
+
"id": "numeric-fresh-round-currency-012",
|
| 3748 |
+
"domain": "numeric-fresh"
|
| 3749 |
+
},
|
| 3750 |
+
{
|
| 3751 |
+
"id": "numeric-fresh-overnight-time-010",
|
| 3752 |
+
"domain": "numeric-fresh"
|
| 3753 |
+
},
|
| 3754 |
+
{
|
| 3755 |
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"id": "numeric-fresh-parallel-rates-016",
|
| 3756 |
+
"domain": "numeric-fresh"
|
| 3757 |
+
},
|
| 3758 |
+
{
|
| 3759 |
+
"id": "numeric-fresh-mixed-money-001",
|
| 3760 |
+
"domain": "numeric-fresh"
|
| 3761 |
+
},
|
| 3762 |
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{
|
| 3763 |
+
"id": "numeric-fresh-round-currency-018",
|
| 3764 |
+
"domain": "numeric-fresh"
|
| 3765 |
+
},
|
| 3766 |
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{
|
| 3767 |
+
"id": "numeric-fresh-whole-packages-019",
|
| 3768 |
+
"domain": "numeric-fresh"
|
| 3769 |
+
},
|
| 3770 |
+
{
|
| 3771 |
+
"id": "numeric-fresh-whole-packages-011",
|
| 3772 |
+
"domain": "numeric-fresh"
|
| 3773 |
+
},
|
| 3774 |
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{
|
| 3775 |
+
"id": "numeric-fresh-irrelevant-inventory-009",
|
| 3776 |
+
"domain": "numeric-fresh"
|
| 3777 |
+
},
|
| 3778 |
+
{
|
| 3779 |
+
"id": "numeric-fresh-mixed-money-014",
|
| 3780 |
+
"domain": "numeric-fresh"
|
| 3781 |
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},
|
| 3782 |
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{
|
| 3783 |
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"id": "numeric-fresh-irrelevant-inventory-011",
|
| 3784 |
+
"domain": "numeric-fresh"
|
| 3785 |
+
},
|
| 3786 |
+
{
|
| 3787 |
+
"id": "numeric-fresh-percentage-change-010",
|
| 3788 |
+
"domain": "numeric-fresh"
|
| 3789 |
+
},
|
| 3790 |
+
{
|
| 3791 |
+
"id": "numeric-fresh-mixed-money-013",
|
| 3792 |
+
"domain": "numeric-fresh"
|
| 3793 |
+
},
|
| 3794 |
+
{
|
| 3795 |
+
"id": "numeric-fresh-temperature-change-012",
|
| 3796 |
+
"domain": "numeric-fresh"
|
| 3797 |
+
},
|
| 3798 |
+
{
|
| 3799 |
+
"id": "numeric-fresh-parallel-rates-010",
|
| 3800 |
+
"domain": "numeric-fresh"
|
| 3801 |
+
},
|
| 3802 |
+
{
|
| 3803 |
+
"id": "numeric-fresh-missing-price-007",
|
| 3804 |
+
"domain": "numeric-fresh"
|
| 3805 |
+
},
|
| 3806 |
+
{
|
| 3807 |
+
"id": "numeric-fresh-temperature-change-011",
|
| 3808 |
+
"domain": "numeric-fresh"
|
| 3809 |
+
},
|
| 3810 |
+
{
|
| 3811 |
+
"id": "numeric-fresh-parallel-rates-018",
|
| 3812 |
+
"domain": "numeric-fresh"
|
| 3813 |
+
},
|
| 3814 |
+
{
|
| 3815 |
+
"id": "numeric-fresh-missing-price-014",
|
| 3816 |
+
"domain": "numeric-fresh"
|
| 3817 |
+
},
|
| 3818 |
+
{
|
| 3819 |
+
"id": "numeric-fresh-temperature-change-016",
|
| 3820 |
+
"domain": "numeric-fresh"
|
| 3821 |
+
},
|
| 3822 |
+
{
|
| 3823 |
+
"id": "numeric-fresh-mixed-distance-011",
|
| 3824 |
+
"domain": "numeric-fresh"
|
| 3825 |
+
},
|
| 3826 |
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{
|
| 3827 |
+
"id": "numeric-fresh-mixed-distance-001",
|
| 3828 |
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"domain": "numeric-fresh"
|
| 3829 |
+
},
|
| 3830 |
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{
|
| 3831 |
+
"id": "numeric-fresh-irrelevant-inventory-016",
|
| 3832 |
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"domain": "numeric-fresh"
|
| 3833 |
+
},
|
| 3834 |
+
{
|
| 3835 |
+
"id": "numeric-fresh-round-currency-005",
|
| 3836 |
+
"domain": "numeric-fresh"
|
| 3837 |
+
},
|
| 3838 |
+
{
|
| 3839 |
+
"id": "numeric-fresh-mixed-distance-014",
|
| 3840 |
+
"domain": "numeric-fresh"
|
| 3841 |
+
},
|
| 3842 |
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{
|
| 3843 |
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"id": "numeric-fresh-mixed-distance-006",
|
| 3844 |
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"domain": "numeric-fresh"
|
| 3845 |
+
},
|
| 3846 |
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{
|
| 3847 |
+
"id": "numeric-fresh-parallel-rates-009",
|
| 3848 |
+
"domain": "numeric-fresh"
|
| 3849 |
+
},
|
| 3850 |
+
{
|
| 3851 |
+
"id": "numeric-fresh-parallel-rates-019",
|
| 3852 |
+
"domain": "numeric-fresh"
|
| 3853 |
+
},
|
| 3854 |
+
{
|
| 3855 |
+
"id": "numeric-fresh-mixed-money-004",
|
| 3856 |
+
"domain": "numeric-fresh"
|
| 3857 |
+
},
|
| 3858 |
+
{
|
| 3859 |
+
"id": "numeric-fresh-mixed-distance-009",
|
| 3860 |
+
"domain": "numeric-fresh"
|
| 3861 |
+
},
|
| 3862 |
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{
|
| 3863 |
+
"id": "numeric-fresh-parallel-rates-006",
|
| 3864 |
+
"domain": "numeric-fresh"
|
| 3865 |
+
},
|
| 3866 |
+
{
|
| 3867 |
+
"id": "numeric-fresh-round-currency-000",
|
| 3868 |
+
"domain": "numeric-fresh"
|
| 3869 |
+
},
|
| 3870 |
+
{
|
| 3871 |
+
"id": "numeric-fresh-temperature-change-017",
|
| 3872 |
+
"domain": "numeric-fresh"
|
| 3873 |
+
},
|
| 3874 |
+
{
|
| 3875 |
+
"id": "numeric-fresh-missing-price-005",
|
| 3876 |
+
"domain": "numeric-fresh"
|
| 3877 |
+
},
|
| 3878 |
+
{
|
| 3879 |
+
"id": "numeric-fresh-mixed-money-007",
|
| 3880 |
+
"domain": "numeric-fresh"
|
| 3881 |
+
},
|
| 3882 |
+
{
|
| 3883 |
+
"id": "numeric-unseen-successive-discounts-009",
|
| 3884 |
+
"domain": "numeric-unseen"
|
| 3885 |
+
},
|
| 3886 |
+
{
|
| 3887 |
+
"id": "numeric-unseen-tiered-charge-011",
|
| 3888 |
+
"domain": "numeric-unseen"
|
| 3889 |
+
},
|
| 3890 |
+
{
|
| 3891 |
+
"id": "numeric-unseen-successive-discounts-005",
|
| 3892 |
+
"domain": "numeric-unseen"
|
| 3893 |
+
},
|
| 3894 |
+
{
|
| 3895 |
+
"id": "numeric-unseen-successive-discounts-000",
|
| 3896 |
+
"domain": "numeric-unseen"
|
| 3897 |
+
},
|
| 3898 |
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{
|
| 3899 |
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"id": "numeric-unseen-tiered-charge-010",
|
| 3900 |
+
"domain": "numeric-unseen"
|
| 3901 |
+
},
|
| 3902 |
+
{
|
| 3903 |
+
"id": "numeric-unseen-successive-discounts-003",
|
| 3904 |
+
"domain": "numeric-unseen"
|
| 3905 |
+
},
|
| 3906 |
+
{
|
| 3907 |
+
"id": "numeric-unseen-production-yield-011",
|
| 3908 |
+
"domain": "numeric-unseen"
|
| 3909 |
+
},
|
| 3910 |
+
{
|
| 3911 |
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"id": "numeric-unseen-successive-discounts-011",
|
| 3912 |
+
"domain": "numeric-unseen"
|
| 3913 |
+
},
|
| 3914 |
+
{
|
| 3915 |
+
"id": "numeric-unseen-tiered-charge-000",
|
| 3916 |
+
"domain": "numeric-unseen"
|
| 3917 |
+
},
|
| 3918 |
+
{
|
| 3919 |
+
"id": "numeric-unseen-missing-average-007",
|
| 3920 |
+
"domain": "numeric-unseen"
|
| 3921 |
+
},
|
| 3922 |
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{
|
| 3923 |
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"id": "numeric-unseen-tiered-charge-012",
|
| 3924 |
+
"domain": "numeric-unseen"
|
| 3925 |
+
},
|
| 3926 |
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{
|
| 3927 |
+
"id": "numeric-unseen-successive-discounts-001",
|
| 3928 |
+
"domain": "numeric-unseen"
|
| 3929 |
+
},
|
| 3930 |
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{
|
| 3931 |
+
"id": "numeric-unseen-production-yield-006",
|
| 3932 |
+
"domain": "numeric-unseen"
|
| 3933 |
+
},
|
| 3934 |
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{
|
| 3935 |
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"id": "numeric-unseen-missing-average-006",
|
| 3936 |
+
"domain": "numeric-unseen"
|
| 3937 |
+
},
|
| 3938 |
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{
|
| 3939 |
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"id": "numeric-unseen-missing-average-000",
|
| 3940 |
+
"domain": "numeric-unseen"
|
| 3941 |
+
},
|
| 3942 |
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{
|
| 3943 |
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"id": "numeric-unseen-production-yield-008",
|
| 3944 |
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"domain": "numeric-unseen"
|
| 3945 |
+
},
|
| 3946 |
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{
|
| 3947 |
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"id": "numeric-unseen-production-yield-012",
|
| 3948 |
+
"domain": "numeric-unseen"
|
| 3949 |
+
},
|
| 3950 |
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{
|
| 3951 |
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"id": "numeric-unseen-missing-average-011",
|
| 3952 |
+
"domain": "numeric-unseen"
|
| 3953 |
+
},
|
| 3954 |
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{
|
| 3955 |
+
"id": "numeric-unseen-missing-average-012",
|
| 3956 |
+
"domain": "numeric-unseen"
|
| 3957 |
+
},
|
| 3958 |
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{
|
| 3959 |
+
"id": "numeric-unseen-successive-discounts-012",
|
| 3960 |
+
"domain": "numeric-unseen"
|
| 3961 |
+
},
|
| 3962 |
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{
|
| 3963 |
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"id": "numeric-unseen-tiered-charge-003",
|
| 3964 |
+
"domain": "numeric-unseen"
|
| 3965 |
+
},
|
| 3966 |
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{
|
| 3967 |
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"id": "numeric-unseen-missing-average-005",
|
| 3968 |
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"domain": "numeric-unseen"
|
| 3969 |
+
},
|
| 3970 |
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{
|
| 3971 |
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"id": "numeric-unseen-missing-average-014",
|
| 3972 |
+
"domain": "numeric-unseen"
|
| 3973 |
+
},
|
| 3974 |
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{
|
| 3975 |
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"id": "numeric-unseen-tiered-charge-008",
|
| 3976 |
+
"domain": "numeric-unseen"
|
| 3977 |
+
},
|
| 3978 |
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{
|
| 3979 |
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"id": "numeric-unseen-tiered-charge-009",
|
| 3980 |
+
"domain": "numeric-unseen"
|
| 3981 |
+
},
|
| 3982 |
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{
|
| 3983 |
+
"id": "numeric-unseen-missing-average-004",
|
| 3984 |
+
"domain": "numeric-unseen"
|
| 3985 |
+
},
|
| 3986 |
+
{
|
| 3987 |
+
"id": "numeric-unseen-tiered-charge-001",
|
| 3988 |
+
"domain": "numeric-unseen"
|
| 3989 |
+
},
|
| 3990 |
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{
|
| 3991 |
+
"id": "numeric-unseen-production-yield-004",
|
| 3992 |
+
"domain": "numeric-unseen"
|
| 3993 |
+
},
|
| 3994 |
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{
|
| 3995 |
+
"id": "numeric-unseen-tiered-charge-004",
|
| 3996 |
+
"domain": "numeric-unseen"
|
| 3997 |
+
},
|
| 3998 |
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{
|
| 3999 |
+
"id": "numeric-unseen-production-yield-002",
|
| 4000 |
+
"domain": "numeric-unseen"
|
| 4001 |
+
},
|
| 4002 |
+
{
|
| 4003 |
+
"id": "numeric-unseen-tiered-charge-007",
|
| 4004 |
+
"domain": "numeric-unseen"
|
| 4005 |
+
},
|
| 4006 |
+
{
|
| 4007 |
+
"id": "numeric-unseen-successive-discounts-013",
|
| 4008 |
+
"domain": "numeric-unseen"
|
| 4009 |
+
},
|
| 4010 |
+
{
|
| 4011 |
+
"id": "numeric-unseen-tiered-charge-005",
|
| 4012 |
+
"domain": "numeric-unseen"
|
| 4013 |
+
},
|
| 4014 |
+
{
|
| 4015 |
+
"id": "numeric-unseen-tiered-charge-002",
|
| 4016 |
+
"domain": "numeric-unseen"
|
| 4017 |
+
},
|
| 4018 |
+
{
|
| 4019 |
+
"id": "numeric-unseen-successive-discounts-015",
|
| 4020 |
+
"domain": "numeric-unseen"
|
| 4021 |
+
},
|
| 4022 |
+
{
|
| 4023 |
+
"id": "numeric-unseen-missing-average-002",
|
| 4024 |
+
"domain": "numeric-unseen"
|
| 4025 |
+
},
|
| 4026 |
+
{
|
| 4027 |
+
"id": "numeric-unseen-production-yield-003",
|
| 4028 |
+
"domain": "numeric-unseen"
|
| 4029 |
+
},
|
| 4030 |
+
{
|
| 4031 |
+
"id": "numeric-unseen-production-yield-000",
|
| 4032 |
+
"domain": "numeric-unseen"
|
| 4033 |
+
},
|
| 4034 |
+
{
|
| 4035 |
+
"id": "numeric-unseen-production-yield-001",
|
| 4036 |
+
"domain": "numeric-unseen"
|
| 4037 |
+
},
|
| 4038 |
+
{
|
| 4039 |
+
"id": "numeric-unseen-production-yield-014",
|
| 4040 |
+
"domain": "numeric-unseen"
|
| 4041 |
+
},
|
| 4042 |
+
{
|
| 4043 |
+
"id": "numeric-unseen-missing-average-013",
|
| 4044 |
+
"domain": "numeric-unseen"
|
| 4045 |
+
},
|
| 4046 |
+
{
|
| 4047 |
+
"id": "numeric-unseen-production-yield-009",
|
| 4048 |
+
"domain": "numeric-unseen"
|
| 4049 |
+
},
|
| 4050 |
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{
|
| 4051 |
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"id": "numeric-unseen-missing-average-015",
|
| 4052 |
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"domain": "numeric-unseen"
|
| 4053 |
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},
|
| 4054 |
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{
|
| 4055 |
+
"id": "numeric-unseen-production-yield-007",
|
| 4056 |
+
"domain": "numeric-unseen"
|
| 4057 |
+
},
|
| 4058 |
+
{
|
| 4059 |
+
"id": "numeric-unseen-missing-average-010",
|
| 4060 |
+
"domain": "numeric-unseen"
|
| 4061 |
+
},
|
| 4062 |
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{
|
| 4063 |
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"id": "numeric-unseen-tiered-charge-015",
|
| 4064 |
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"domain": "numeric-unseen"
|
| 4065 |
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},
|
| 4066 |
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{
|
| 4067 |
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"id": "numeric-unseen-missing-average-003",
|
| 4068 |
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"domain": "numeric-unseen"
|
| 4069 |
+
},
|
| 4070 |
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{
|
| 4071 |
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"id": "numeric-unseen-successive-discounts-007",
|
| 4072 |
+
"domain": "numeric-unseen"
|
| 4073 |
+
},
|
| 4074 |
+
{
|
| 4075 |
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"id": "numeric-unseen-missing-average-009",
|
| 4076 |
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"domain": "numeric-unseen"
|
| 4077 |
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},
|
| 4078 |
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{
|
| 4079 |
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"id": "numeric-unseen-tiered-charge-006",
|
| 4080 |
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"domain": "numeric-unseen"
|
| 4081 |
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},
|
| 4082 |
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{
|
| 4083 |
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"id": "numeric-unseen-successive-discounts-010",
|
| 4084 |
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"domain": "numeric-unseen"
|
| 4085 |
+
},
|
| 4086 |
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{
|
| 4087 |
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"id": "numeric-unseen-successive-discounts-002",
|
| 4088 |
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"domain": "numeric-unseen"
|
| 4089 |
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},
|
| 4090 |
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{
|
| 4091 |
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"id": "numeric-unseen-production-yield-010",
|
| 4092 |
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"domain": "numeric-unseen"
|
| 4093 |
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},
|
| 4094 |
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{
|
| 4095 |
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"id": "numeric-unseen-missing-average-001",
|
| 4096 |
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"domain": "numeric-unseen"
|
| 4097 |
+
},
|
| 4098 |
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{
|
| 4099 |
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"id": "numeric-unseen-tiered-charge-013",
|
| 4100 |
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"domain": "numeric-unseen"
|
| 4101 |
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},
|
| 4102 |
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{
|
| 4103 |
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"id": "numeric-unseen-tiered-charge-014",
|
| 4104 |
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"domain": "numeric-unseen"
|
| 4105 |
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},
|
| 4106 |
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{
|
| 4107 |
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"id": "numeric-unseen-successive-discounts-008",
|
| 4108 |
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"domain": "numeric-unseen"
|
| 4109 |
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},
|
| 4110 |
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{
|
| 4111 |
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"id": "numeric-unseen-missing-average-008",
|
| 4112 |
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"domain": "numeric-unseen"
|
| 4113 |
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|
| 4114 |
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{
|
| 4115 |
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"id": "numeric-unseen-production-yield-013",
|
| 4116 |
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"domain": "numeric-unseen"
|
| 4117 |
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|
| 4118 |
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{
|
| 4119 |
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"id": "numeric-unseen-successive-discounts-014",
|
| 4120 |
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"domain": "numeric-unseen"
|
| 4121 |
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},
|
| 4122 |
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{
|
| 4123 |
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"id": "numeric-unseen-production-yield-015",
|
| 4124 |
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"domain": "numeric-unseen"
|
| 4125 |
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},
|
| 4126 |
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{
|
| 4127 |
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"id": "numeric-unseen-successive-discounts-006",
|
| 4128 |
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"domain": "numeric-unseen"
|
| 4129 |
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},
|
| 4130 |
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{
|
| 4131 |
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"id": "numeric-unseen-production-yield-005",
|
| 4132 |
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"domain": "numeric-unseen"
|
| 4133 |
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},
|
| 4134 |
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{
|
| 4135 |
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"id": "numeric-unseen-successive-discounts-004",
|
| 4136 |
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"domain": "numeric-unseen"
|
| 4137 |
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},
|
| 4138 |
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{
|
| 4139 |
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"id": "numeric-authored-00",
|
| 4140 |
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"domain": "numeric-challenge"
|
| 4141 |
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},
|
| 4142 |
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{
|
| 4143 |
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"id": "numeric-authored-01",
|
| 4144 |
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"domain": "numeric-challenge"
|
| 4145 |
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},
|
| 4146 |
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{
|
| 4147 |
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"id": "numeric-authored-02",
|
| 4148 |
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"domain": "numeric-challenge"
|
| 4149 |
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},
|
| 4150 |
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{
|
| 4151 |
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"id": "numeric-authored-03",
|
| 4152 |
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"domain": "numeric-challenge"
|
| 4153 |
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},
|
| 4154 |
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{
|
| 4155 |
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"id": "numeric-authored-04",
|
| 4156 |
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"domain": "numeric-challenge"
|
| 4157 |
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},
|
| 4158 |
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{
|
| 4159 |
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"id": "numeric-authored-05",
|
| 4160 |
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"domain": "numeric-challenge"
|
| 4161 |
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},
|
| 4162 |
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{
|
| 4163 |
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"id": "numeric-authored-06",
|
| 4164 |
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"domain": "numeric-challenge"
|
| 4165 |
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},
|
| 4166 |
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{
|
| 4167 |
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"id": "numeric-authored-07",
|
| 4168 |
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"domain": "numeric-challenge"
|
| 4169 |
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},
|
| 4170 |
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{
|
| 4171 |
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"id": "numeric-authored-08",
|
| 4172 |
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"domain": "numeric-challenge"
|
| 4173 |
+
},
|
| 4174 |
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{
|
| 4175 |
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"id": "numeric-authored-09",
|
| 4176 |
+
"domain": "numeric-challenge"
|
| 4177 |
+
},
|
| 4178 |
+
{
|
| 4179 |
+
"id": "numeric-authored-10",
|
| 4180 |
+
"domain": "numeric-challenge"
|
| 4181 |
+
},
|
| 4182 |
+
{
|
| 4183 |
+
"id": "numeric-authored-11",
|
| 4184 |
+
"domain": "numeric-challenge"
|
| 4185 |
+
},
|
| 4186 |
+
{
|
| 4187 |
+
"id": "numeric-authored-12",
|
| 4188 |
+
"domain": "numeric-challenge"
|
| 4189 |
+
},
|
| 4190 |
+
{
|
| 4191 |
+
"id": "numeric-authored-13",
|
| 4192 |
+
"domain": "numeric-challenge"
|
| 4193 |
+
},
|
| 4194 |
+
{
|
| 4195 |
+
"id": "numeric-authored-14",
|
| 4196 |
+
"domain": "numeric-challenge"
|
| 4197 |
+
},
|
| 4198 |
+
{
|
| 4199 |
+
"id": "numeric-authored-15",
|
| 4200 |
+
"domain": "numeric-challenge"
|
| 4201 |
+
},
|
| 4202 |
+
{
|
| 4203 |
+
"id": "numeric-authored-16",
|
| 4204 |
+
"domain": "numeric-challenge"
|
| 4205 |
+
},
|
| 4206 |
+
{
|
| 4207 |
+
"id": "numeric-authored-17",
|
| 4208 |
+
"domain": "numeric-challenge"
|
| 4209 |
+
},
|
| 4210 |
+
{
|
| 4211 |
+
"id": "numeric-authored-18",
|
| 4212 |
+
"domain": "numeric-challenge"
|
| 4213 |
+
},
|
| 4214 |
+
{
|
| 4215 |
+
"id": "numeric-authored-19",
|
| 4216 |
+
"domain": "numeric-challenge"
|
| 4217 |
+
},
|
| 4218 |
+
{
|
| 4219 |
+
"id": "numeric-authored-20",
|
| 4220 |
+
"domain": "numeric-challenge"
|
| 4221 |
+
},
|
| 4222 |
+
{
|
| 4223 |
+
"id": "numeric-authored-21",
|
| 4224 |
+
"domain": "numeric-challenge"
|
| 4225 |
+
},
|
| 4226 |
+
{
|
| 4227 |
+
"id": "numeric-authored-22",
|
| 4228 |
+
"domain": "numeric-challenge"
|
| 4229 |
+
},
|
| 4230 |
+
{
|
| 4231 |
+
"id": "numeric-authored-23",
|
| 4232 |
+
"domain": "numeric-challenge"
|
| 4233 |
+
}
|
| 4234 |
+
]
|
| 4235 |
+
},
|
| 4236 |
+
"commands_in_research_workspace": [
|
| 4237 |
+
"python -B -m analysis.run_guarded_runtime --stage final --gpu 0",
|
| 4238 |
+
"python -B -m analysis.verify_runtime_core"
|
| 4239 |
+
],
|
| 4240 |
+
"raw_public_data_redistributed": false
|
| 4241 |
+
}
|
benchmarks/LICENSE
ADDED
|
@@ -0,0 +1,202 @@
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|
| 1 |
+
|
| 2 |
+
Apache License
|
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benchmarks/NOTICE
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
Authored arithmetic regression fixtures from this project, distributed under Apache-2.0.
|
| 2 |
+
Generated by analysis/prepare_numeric_stress.py and analysis/add_numeric_challenge.py; labels audited with exact arithmetic.
|
| 3 |
+
No public dataset text or model weights included. Reused evaluation cases, not independent new test evidence.
|
benchmarks/numeric-regression.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
bonsai-decision-runtime-0.1.0-source.tar.gz
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:270eabe54de1f26ea41c2f2298d953967b29a3eff1ad7c5bd214fedb9c95d057
|
| 3 |
+
size 15031
|
bonsai_decision_runtime-0.1.0-py3-none-any.whl
ADDED
|
Binary file (23.3 kB). View file
|
|
|
evaluate.py
ADDED
|
@@ -0,0 +1,20 @@
|
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|
|
|
| 1 |
+
"""Evaluate supplied labeled decisions; no bundled public benchmark text."""
|
| 2 |
+
import argparse,json,statistics,time
|
| 3 |
+
from collections import defaultdict
|
| 4 |
+
from pathlib import Path
|
| 5 |
+
from bonsai_runtime.backend import Client
|
| 6 |
+
from bonsai_runtime.decision import DecisionEngine
|
| 7 |
+
p=argparse.ArgumentParser();p.add_argument('--input',required=True);p.add_argument('--output',required=True)
|
| 8 |
+
p.add_argument('--base',default='http://127.0.0.1:5991');p.add_argument('--profile',choices=['base','current'],default='base');p.add_argument('--adapter-id',type=int,default=0)
|
| 9 |
+
a=p.parse_args();engine=DecisionEngine(Client(a.base,None if a.profile=='base' else a.adapter_id));rows=[]
|
| 10 |
+
with Path(a.output).open('x') as out:
|
| 11 |
+
for line in Path(a.input).read_text().splitlines():
|
| 12 |
+
item=json.loads(line);request=item['request']
|
| 13 |
+
for order in [0,1]:
|
| 14 |
+
r=dict(request);options=r['options'];r['options']=options[order:]+options[:order]
|
| 15 |
+
result=engine.decide(r);row=dict(id=item['id'],order=order,correct=result['answer']==item['expected'],result=result)
|
| 16 |
+
out.write(json.dumps(row)+'\n');out.flush();rows.append(row)
|
| 17 |
+
groups=defaultdict(list)
|
| 18 |
+
for r in rows:groups[r['id']].append(r)
|
| 19 |
+
canonical=[r for r in rows if r['order']==0]
|
| 20 |
+
print(json.dumps(dict(profile=a.profile,requests=len(groups),canonical_correct=sum(r['correct'] for r in canonical),all_order_correct=sum(all(r['correct'] for r in rs) for rs in groups.values()),mean_seconds=statistics.mean(r['result']['seconds'] for r in rows)),indent=2))
|
evidence/agent-final.json
ADDED
|
@@ -0,0 +1,948 @@
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|
| 1 |
+
{
|
| 2 |
+
"created": "2026-09-24T09:30:25.338471+00:00",
|
| 3 |
+
"profiles": {
|
| 4 |
+
"base": {
|
| 5 |
+
"summary": {
|
| 6 |
+
"episodes": 480,
|
| 7 |
+
"successful_episodes": 457,
|
| 8 |
+
"requests": 240,
|
| 9 |
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"all_order_correct": 227,
|
| 10 |
+
"fulfillable_n": 189,
|
| 11 |
+
"fulfillable_correct": 177,
|
| 12 |
+
"noncompletion_n": 51,
|
| 13 |
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"noncompletion_correct": 50,
|
| 14 |
+
"false_completion": 1,
|
| 15 |
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"unintended_effect": 0,
|
| 16 |
+
"mean_seconds": 2.0932355162791585,
|
| 17 |
+
"median_seconds": 1.427165471999615,
|
| 18 |
+
"p95_seconds": 10.745632594000199,
|
| 19 |
+
"model_calls": 516,
|
| 20 |
+
"generated_tokens": 61147,
|
| 21 |
+
"families": {
|
| 22 |
+
"clarification": {
|
| 23 |
+
"episodes": 60,
|
| 24 |
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"success": 60,
|
| 25 |
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"requests": 30,
|
| 26 |
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"all_order_correct": 30,
|
| 27 |
+
"false_completion": 0,
|
| 28 |
+
"unintended_effect": 0,
|
| 29 |
+
"mean_seconds": 0.8892722672494225
|
| 30 |
+
},
|
| 31 |
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"corrections": {
|
| 32 |
+
"episodes": 60,
|
| 33 |
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"success": 60,
|
| 34 |
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"requests": 30,
|
| 35 |
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"all_order_correct": 30,
|
| 36 |
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"false_completion": 0,
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| 37 |
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"unintended_effect": 0,
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| 38 |
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"mean_seconds": 1.9588820694332147
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| 39 |
+
},
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| 40 |
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"existing": {
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| 41 |
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"episodes": 60,
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| 42 |
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"success": 56,
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| 43 |
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"requests": 30,
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| 44 |
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"all_order_correct": 27,
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| 45 |
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"false_completion": 1,
|
| 46 |
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"unintended_effect": 0,
|
| 47 |
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"mean_seconds": 1.2470223798843412
|
| 48 |
+
},
|
| 49 |
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"faults": {
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| 50 |
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"episodes": 60,
|
| 51 |
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"success": 53,
|
| 52 |
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"requests": 30,
|
| 53 |
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"all_order_correct": 26,
|
| 54 |
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"false_completion": 0,
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| 55 |
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"unintended_effect": 0,
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| 56 |
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"mean_seconds": 1.4525465179996293
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| 57 |
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},
|
| 58 |
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"long": {
|
| 59 |
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"episodes": 60,
|
| 60 |
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"success": 60,
|
| 61 |
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"requests": 30,
|
| 62 |
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"all_order_correct": 30,
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| 63 |
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"false_completion": 0,
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| 64 |
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"unintended_effect": 0,
|
| 65 |
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"mean_seconds": 7.21421824521749
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| 66 |
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},
|
| 67 |
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"scheduling": {
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| 68 |
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"episodes": 60,
|
| 69 |
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"success": 52,
|
| 70 |
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"requests": 30,
|
| 71 |
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"all_order_correct": 26,
|
| 72 |
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"false_completion": 0,
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| 73 |
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"unintended_effect": 0,
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| 74 |
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"mean_seconds": 1.436056523432732
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| 75 |
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},
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| 76 |
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"time": {
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| 77 |
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"episodes": 60,
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| 78 |
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"success": 56,
|
| 79 |
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"requests": 30,
|
| 80 |
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"all_order_correct": 28,
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| 81 |
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"false_completion": 0,
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| 82 |
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"unintended_effect": 0,
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| 83 |
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"mean_seconds": 1.4590127553822336
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| 84 |
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},
|
| 85 |
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"writing": {
|
| 86 |
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"episodes": 60,
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| 87 |
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"success": 60,
|
| 88 |
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"requests": 30,
|
| 89 |
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"all_order_correct": 30,
|
| 90 |
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"false_completion": 0,
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| 91 |
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"unintended_effect": 0,
|
| 92 |
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"mean_seconds": 1.0888733716342054
|
| 93 |
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}
|
| 94 |
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},
|
| 95 |
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"failures": [
|
| 96 |
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{
|
| 97 |
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"id": "final-scheduling-02",
|
| 98 |
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"rotation": 0,
|
| 99 |
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"terminal": "clarify",
|
| 100 |
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"expected": "done",
|
| 101 |
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"error": null,
|
| 102 |
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"questions": [
|
| 103 |
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"Ungrounded title or time field"
|
| 104 |
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]
|
| 105 |
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},
|
| 106 |
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{
|
| 107 |
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"id": "final-scheduling-02",
|
| 108 |
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"rotation": 1,
|
| 109 |
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"terminal": "clarify",
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| 110 |
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"expected": "done",
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| 111 |
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"error": null,
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| 112 |
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"questions": [
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| 113 |
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"Ungrounded title or time field"
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| 114 |
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]
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| 115 |
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},
|
| 116 |
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{
|
| 117 |
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"id": "final-scheduling-08",
|
| 118 |
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"rotation": 0,
|
| 119 |
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"terminal": "clarify",
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| 120 |
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"expected": "done",
|
| 121 |
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"error": null,
|
| 122 |
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"questions": [
|
| 123 |
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"Both date and time are required"
|
| 124 |
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]
|
| 125 |
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},
|
| 126 |
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{
|
| 127 |
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"id": "final-scheduling-08",
|
| 128 |
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"rotation": 1,
|
| 129 |
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"terminal": "clarify",
|
| 130 |
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"expected": "done",
|
| 131 |
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"error": null,
|
| 132 |
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"questions": [
|
| 133 |
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"Both date and time are required"
|
| 134 |
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]
|
| 135 |
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},
|
| 136 |
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{
|
| 137 |
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"id": "final-scheduling-18",
|
| 138 |
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"rotation": 0,
|
| 139 |
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"terminal": "clarify",
|
| 140 |
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"expected": "done",
|
| 141 |
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"error": null,
|
| 142 |
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"questions": [
|
| 143 |
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"Ungrounded title or time field"
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| 144 |
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]
|
| 145 |
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},
|
| 146 |
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{
|
| 147 |
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"id": "final-scheduling-18",
|
| 148 |
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"rotation": 1,
|
| 149 |
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"terminal": "clarify",
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| 150 |
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"expected": "done",
|
| 151 |
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| 152 |
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"questions": [
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| 153 |
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"Ungrounded title or time field"
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| 154 |
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]
|
| 155 |
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},
|
| 156 |
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{
|
| 157 |
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"id": "final-scheduling-28",
|
| 158 |
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"rotation": 0,
|
| 159 |
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"terminal": "clarify",
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| 160 |
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"expected": "done",
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| 161 |
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| 162 |
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| 163 |
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"Ungrounded title or time field"
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| 164 |
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]
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| 165 |
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},
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| 166 |
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{
|
| 167 |
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"id": "final-scheduling-28",
|
| 168 |
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"rotation": 1,
|
| 169 |
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"terminal": "clarify",
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| 170 |
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"expected": "done",
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| 171 |
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| 172 |
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| 173 |
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"Ungrounded title or time field"
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| 174 |
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]
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| 175 |
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},
|
| 176 |
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{
|
| 177 |
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"id": "final-time-09",
|
| 178 |
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"rotation": 0,
|
| 179 |
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"terminal": "clarify",
|
| 180 |
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"expected": "done",
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| 181 |
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"error": null,
|
| 182 |
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| 183 |
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"Ungrounded title or time field"
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| 184 |
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]
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| 185 |
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},
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| 186 |
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{
|
| 187 |
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"id": "final-time-09",
|
| 188 |
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"rotation": 1,
|
| 189 |
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"terminal": "clarify",
|
| 190 |
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"expected": "done",
|
| 191 |
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"error": null,
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| 192 |
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"questions": [
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| 193 |
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"Ungrounded title or time field"
|
| 194 |
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]
|
| 195 |
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},
|
| 196 |
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{
|
| 197 |
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"id": "final-time-19",
|
| 198 |
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"rotation": 0,
|
| 199 |
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"terminal": "clarify",
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| 200 |
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"expected": "done",
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| 201 |
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"error": null,
|
| 202 |
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"questions": [
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| 203 |
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"Ungrounded title or time field"
|
| 204 |
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]
|
| 205 |
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},
|
| 206 |
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{
|
| 207 |
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"id": "final-time-19",
|
| 208 |
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"rotation": 1,
|
| 209 |
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"terminal": "clarify",
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| 210 |
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"expected": "done",
|
| 211 |
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"error": null,
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| 212 |
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"questions": [
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| 213 |
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"Ungrounded title or time field"
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| 214 |
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]
|
| 215 |
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},
|
| 216 |
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{
|
| 217 |
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"id": "final-existing-05",
|
| 218 |
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"rotation": 1,
|
| 219 |
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"terminal": "done",
|
| 220 |
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"expected": "done",
|
| 221 |
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"error": null,
|
| 222 |
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"questions": [
|
| 223 |
+
null
|
| 224 |
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]
|
| 225 |
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},
|
| 226 |
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{
|
| 227 |
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"id": "final-existing-15",
|
| 228 |
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|
| 229 |
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"terminal": "clarify",
|
| 230 |
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"expected": "done",
|
| 231 |
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"error": null,
|
| 232 |
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"questions": [
|
| 233 |
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"Which paragraph should \"Cedar existing 16\" be moved to? Please specify the target paragraph ID and whether to place it before or after that paragraph."
|
| 234 |
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]
|
| 235 |
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},
|
| 236 |
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{
|
| 237 |
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"id": "final-existing-25",
|
| 238 |
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|
| 239 |
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|
| 240 |
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"expected": "done",
|
| 241 |
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"error": null,
|
| 242 |
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"questions": [
|
| 243 |
+
"Which paragraph should \"Cedar existing 26\" be moved before or after?"
|
| 244 |
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]
|
| 245 |
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},
|
| 246 |
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{
|
| 247 |
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"id": "final-existing-25",
|
| 248 |
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"rotation": 1,
|
| 249 |
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"terminal": "clarify",
|
| 250 |
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"expected": "done",
|
| 251 |
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|
| 252 |
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"questions": [
|
| 253 |
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"Which paragraph should \"Cedar existing 26\" be moved before or after?"
|
| 254 |
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]
|
| 255 |
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},
|
| 256 |
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{
|
| 257 |
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"id": "final-faults-03",
|
| 258 |
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|
| 259 |
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"terminal": "clarify",
|
| 260 |
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"expected": "done",
|
| 261 |
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| 262 |
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|
| 263 |
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"Ungrounded title or time field"
|
| 264 |
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]
|
| 265 |
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},
|
| 266 |
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{
|
| 267 |
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"id": "final-faults-04",
|
| 268 |
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|
| 269 |
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"terminal": "clarify",
|
| 270 |
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"expected": "done",
|
| 271 |
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|
| 272 |
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|
| 273 |
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"Ungrounded title or time field"
|
| 274 |
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]
|
| 275 |
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},
|
| 276 |
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{
|
| 277 |
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"id": "final-faults-04",
|
| 278 |
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|
| 279 |
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"terminal": "clarify",
|
| 280 |
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|
| 281 |
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| 282 |
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|
| 283 |
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"Ungrounded title or time field"
|
| 284 |
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]
|
| 285 |
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},
|
| 286 |
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{
|
| 287 |
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"id": "final-faults-05",
|
| 288 |
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|
| 289 |
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|
| 290 |
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|
| 291 |
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|
| 292 |
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|
| 293 |
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"Ungrounded title or time field"
|
| 294 |
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]
|
| 295 |
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},
|
| 296 |
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{
|
| 297 |
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"id": "final-faults-05",
|
| 298 |
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|
| 299 |
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"terminal": "clarify",
|
| 300 |
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| 301 |
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| 302 |
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|
| 303 |
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"Ungrounded title or time field"
|
| 304 |
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]
|
| 305 |
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},
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| 306 |
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{
|
| 307 |
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"id": "final-faults-07",
|
| 308 |
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|
| 309 |
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| 310 |
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| 311 |
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| 312 |
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|
| 313 |
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|
| 314 |
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| 315 |
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| 316 |
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{
|
| 317 |
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"id": "final-faults-07",
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| 318 |
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|
| 319 |
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| 320 |
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| 321 |
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| 322 |
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|
| 323 |
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| 324 |
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| 325 |
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| 326 |
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| 327 |
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| 328 |
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| 330 |
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| 332 |
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| 336 |
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|
| 337 |
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| 338 |
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| 339 |
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| 348 |
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| 349 |
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| 350 |
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| 351 |
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| 352 |
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| 353 |
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| 359 |
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| 360 |
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| 361 |
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| 362 |
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| 368 |
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| 369 |
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|
| 370 |
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| 371 |
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| 372 |
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| 373 |
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| 379 |
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| 380 |
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| 381 |
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| 382 |
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| 383 |
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| 384 |
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|
| 385 |
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| 386 |
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| 387 |
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| 388 |
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| 389 |
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| 391 |
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| 392 |
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| 465 |
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| 466 |
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| 473 |
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| 476 |
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| 477 |
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| 478 |
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| 479 |
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| 480 |
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| 481 |
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| 482 |
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| 483 |
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| 484 |
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| 633 |
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| 634 |
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| 635 |
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| 651 |
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| 746 |
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| 747 |
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"upper": 1.0,
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"limitation": "Authored correlated variants; all-success bootstrap intervals are degenerate, not proof of perfect reliability."
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| 749 |
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}
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| 750 |
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| 751 |
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"supported": {
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| 755 |
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| 760 |
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| 761 |
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| 762 |
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| 763 |
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| 769 |
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| 770 |
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| 771 |
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| 772 |
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| 781 |
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|
| 782 |
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}
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| 783 |
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},
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| 784 |
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"externally_unresolvable": {
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| 785 |
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| 787 |
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| 788 |
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| 789 |
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| 790 |
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| 791 |
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|
| 792 |
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|
| 793 |
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}
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| 794 |
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},
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| 795 |
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"gates": {
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| 796 |
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| 797 |
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| 798 |
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| 803 |
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| 804 |
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| 805 |
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},
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| 806 |
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| 855 |
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"20": {
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"-m",
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| 877 |
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"--host",
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| 878 |
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"0.0.0.0",
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| 879 |
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"--port",
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| 880 |
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"5991",
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| 881 |
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"-c",
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| 882 |
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"4096",
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| 883 |
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| 884 |
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"99",
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| 885 |
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"-fa",
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| 886 |
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"on",
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| 887 |
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"--jinja",
|
| 888 |
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"--reasoning",
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| 889 |
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"off",
|
| 890 |
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"-np",
|
| 891 |
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"1",
|
| 892 |
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"--no-context-shift",
|
| 893 |
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"--cache-ram",
|
| 894 |
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"0",
|
| 895 |
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"--no-cache-idle-slots",
|
| 896 |
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"--lora",
|
| 897 |
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"models/fast-routes-20260924T0101Z/broad-lr0.0001.gguf"
|
| 898 |
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]
|
| 899 |
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},
|
| 900 |
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{
|
| 901 |
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"time_utc": "2026-09-24T09:09:04.862338+00:00",
|
| 902 |
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"kind": "server_ready",
|
| 903 |
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"memory_mib": 7826,
|
| 904 |
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"loaded_adapters": [
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| 905 |
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{
|
| 906 |
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"id": 0,
|
| 907 |
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"path": "models/fast-routes-20260924T0101Z/broad-lr0.0001.gguf",
|
| 908 |
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"scale": 1.0,
|
| 909 |
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"task_name": "",
|
| 910 |
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"prompt_prefix": ""
|
| 911 |
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}
|
| 912 |
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]
|
| 913 |
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},
|
| 914 |
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{
|
| 915 |
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"time_utc": "2026-09-24T09:30:16.229790+00:00",
|
| 916 |
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"kind": "server_stopped",
|
| 917 |
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"pid": 1034792,
|
| 918 |
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|
| 919 |
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|
| 920 |
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}
|
| 921 |
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],
|
| 922 |
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"failures_by_cause": {
|
| 923 |
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"unnecessary-or-wrong-clarification": 14
|
| 924 |
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}
|
| 925 |
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}
|
| 926 |
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},
|
| 927 |
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|
| 928 |
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|
| 929 |
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|
| 930 |
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"cluster_bootstrap_delta_95pct": [
|
| 931 |
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0.0,
|
| 932 |
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0.058333333333333334
|
| 933 |
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]
|
| 934 |
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},
|
| 935 |
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"integrity": {
|
| 936 |
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"frozen_files_and_weights_unchanged": true,
|
| 937 |
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|
| 938 |
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|
| 939 |
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"mechanical_tests": 46
|
| 940 |
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},
|
| 941 |
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"limitations": [
|
| 942 |
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"Final requests were authored from80archetypes,3variants; not independent real-user production tasks.",
|
| 943 |
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"Gold-blind runtime, but same author prepared fixtures and implementation. Final sources frozen before final inference.",
|
| 944 |
+
"Memory sampled after readiness on16GiBRTX5080; real8GBcard fit and startup peak are not proven.",
|
| 945 |
+
"Logical task counts are not physical external tool calls; reference application only.",
|
| 946 |
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"Content-based unintended-effect metric excludes version-only writes; supplementary audit reports them separately."
|
| 947 |
+
]
|
| 948 |
+
}
|
evidence/agent-recovery-summary.json
ADDED
|
@@ -0,0 +1,92 @@
|
|
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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 |
+
"episodes": 480,
|
| 3 |
+
"successful_episodes": 480,
|
| 4 |
+
"requests": 240,
|
| 5 |
+
"all_order_correct": 240,
|
| 6 |
+
"fulfillable_n": 189,
|
| 7 |
+
"fulfillable_correct": 189,
|
| 8 |
+
"noncompletion_n": 51,
|
| 9 |
+
"noncompletion_correct": 51,
|
| 10 |
+
"false_completion": 0,
|
| 11 |
+
"unintended_effect": 0,
|
| 12 |
+
"mean_seconds": 2.652289353146868,
|
| 13 |
+
"median_seconds": 1.4749361659924034,
|
| 14 |
+
"p95_seconds": 14.385183106001932,
|
| 15 |
+
"model_calls": 530,
|
| 16 |
+
"generated_tokens": 58662,
|
| 17 |
+
"families": {
|
| 18 |
+
"clarification": {
|
| 19 |
+
"episodes": 60,
|
| 20 |
+
"success": 60,
|
| 21 |
+
"requests": 30,
|
| 22 |
+
"all_order_correct": 30,
|
| 23 |
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"false_completion": 0,
|
| 24 |
+
"unintended_effect": 0,
|
| 25 |
+
"mean_seconds": 1.1335350566999598
|
| 26 |
+
},
|
| 27 |
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"corrections": {
|
| 28 |
+
"episodes": 60,
|
| 29 |
+
"success": 60,
|
| 30 |
+
"requests": 30,
|
| 31 |
+
"all_order_correct": 30,
|
| 32 |
+
"false_completion": 0,
|
| 33 |
+
"unintended_effect": 0,
|
| 34 |
+
"mean_seconds": 2.4656903686516065
|
| 35 |
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},
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| 36 |
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| 37 |
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| 38 |
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|
| 39 |
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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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| 45 |
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| 46 |
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| 47 |
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|
| 48 |
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| 49 |
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| 50 |
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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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| 56 |
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|
| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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}
|
| 90 |
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},
|
| 91 |
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|
| 92 |
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|
evidence/core-base.json
ADDED
|
@@ -0,0 +1,26 @@
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|
| 1 |
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{
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| 2 |
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"public": {
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| 3 |
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"n": 720,
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| 4 |
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"correct": 584,
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| 5 |
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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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| 13 |
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| 14 |
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| 15 |
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| 16 |
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"correct": 323,
|
| 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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| 24 |
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"p95_seconds": 0.4443322570004966
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| 25 |
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|
| 26 |
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|
evidence/core-current.json
ADDED
|
@@ -0,0 +1,26 @@
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| 1 |
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{
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| 2 |
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"public": {
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| 3 |
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"n": 720,
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| 4 |
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| 5 |
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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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| 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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| 23 |
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| 25 |
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|
| 26 |
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|
evidence/core-preservation-audit.json
ADDED
|
@@ -0,0 +1,168 @@
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|
| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 6 |
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| 7 |
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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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| 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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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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| 34 |
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| 35 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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| 42 |
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| 43 |
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| 48 |
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| 49 |
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| 50 |
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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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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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|
| 67 |
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| 68 |
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| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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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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| 83 |
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| 84 |
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| 85 |
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| 86 |
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| 100 |
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| 101 |
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| 103 |
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| 105 |
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| 113 |
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| 114 |
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| 116 |
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| 117 |
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| 118 |
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| 119 |
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| 120 |
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| 121 |
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| 122 |
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| 123 |
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| 124 |
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| 125 |
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| 126 |
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| 127 |
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| 128 |
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| 129 |
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| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 136 |
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| 137 |
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| 138 |
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"id": "numeric-fresh-irrelevant-inventory-019",
|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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{
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| 143 |
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"id": "numeric-fresh-mixed-money-011",
|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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{
|
| 148 |
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"id": "numeric-fresh-missing-price-002",
|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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{
|
| 153 |
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"id": "numeric-fresh-parallel-rates-005",
|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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| 158 |
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"id": "numeric-authored-23",
|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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]
|
| 163 |
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}
|
| 164 |
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},
|
| 165 |
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"sources_unchanged_since_packaging_selection": true,
|
| 166 |
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|
| 167 |
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"public_raw_text_not_redistributed": true
|
| 168 |
+
}
|
evidence/core-public-domains.json
ADDED
|
@@ -0,0 +1,150 @@
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"base": {
|
| 3 |
+
"news": {
|
| 4 |
+
"n": 120,
|
| 5 |
+
"canonical_correct": 101,
|
| 6 |
+
"all_order_correct": 100,
|
| 7 |
+
"stable_answers": 112,
|
| 8 |
+
"order_n": 240,
|
| 9 |
+
"order_correct": 208
|
| 10 |
+
},
|
| 11 |
+
"emotion": {
|
| 12 |
+
"n": 120,
|
| 13 |
+
"canonical_correct": 63,
|
| 14 |
+
"all_order_correct": 53,
|
| 15 |
+
"stable_answers": 75,
|
| 16 |
+
"order_n": 240,
|
| 17 |
+
"order_correct": 126
|
| 18 |
+
},
|
| 19 |
+
"reading": {
|
| 20 |
+
"n": 120,
|
| 21 |
+
"canonical_correct": 102,
|
| 22 |
+
"all_order_correct": 100,
|
| 23 |
+
"stable_answers": 115,
|
| 24 |
+
"order_n": 240,
|
| 25 |
+
"order_correct": 205
|
| 26 |
+
},
|
| 27 |
+
"entailment": {
|
| 28 |
+
"n": 120,
|
| 29 |
+
"canonical_correct": 92,
|
| 30 |
+
"all_order_correct": 88,
|
| 31 |
+
"stable_answers": 112,
|
| 32 |
+
"order_n": 240,
|
| 33 |
+
"order_correct": 184
|
| 34 |
+
},
|
| 35 |
+
"science": {
|
| 36 |
+
"n": 120,
|
| 37 |
+
"canonical_correct": 116,
|
| 38 |
+
"all_order_correct": 107,
|
| 39 |
+
"stable_answers": 108,
|
| 40 |
+
"order_n": 240,
|
| 41 |
+
"order_correct": 226
|
| 42 |
+
},
|
| 43 |
+
"banking20": {
|
| 44 |
+
"n": 120,
|
| 45 |
+
"canonical_correct": 110,
|
| 46 |
+
"all_order_correct": 105,
|
| 47 |
+
"stable_answers": 115,
|
| 48 |
+
"order_n": 240,
|
| 49 |
+
"order_correct": 215
|
| 50 |
+
},
|
| 51 |
+
"numeric-fresh": {
|
| 52 |
+
"n": 240,
|
| 53 |
+
"canonical_correct": 237,
|
| 54 |
+
"all_order_correct": 237,
|
| 55 |
+
"stable_answers": 239,
|
| 56 |
+
"order_n": 480,
|
| 57 |
+
"order_correct": 475
|
| 58 |
+
},
|
| 59 |
+
"numeric-unseen": {
|
| 60 |
+
"n": 64,
|
| 61 |
+
"canonical_correct": 64,
|
| 62 |
+
"all_order_correct": 64,
|
| 63 |
+
"stable_answers": 64,
|
| 64 |
+
"order_n": 128,
|
| 65 |
+
"order_correct": 128
|
| 66 |
+
},
|
| 67 |
+
"numeric-challenge": {
|
| 68 |
+
"n": 24,
|
| 69 |
+
"canonical_correct": 22,
|
| 70 |
+
"all_order_correct": 20,
|
| 71 |
+
"stable_answers": 20,
|
| 72 |
+
"order_n": 48,
|
| 73 |
+
"order_correct": 43
|
| 74 |
+
}
|
| 75 |
+
},
|
| 76 |
+
"current": {
|
| 77 |
+
"news": {
|
| 78 |
+
"n": 120,
|
| 79 |
+
"canonical_correct": 108,
|
| 80 |
+
"all_order_correct": 107,
|
| 81 |
+
"stable_answers": 119,
|
| 82 |
+
"order_n": 240,
|
| 83 |
+
"order_correct": 215
|
| 84 |
+
},
|
| 85 |
+
"emotion": {
|
| 86 |
+
"n": 120,
|
| 87 |
+
"canonical_correct": 65,
|
| 88 |
+
"all_order_correct": 61,
|
| 89 |
+
"stable_answers": 111,
|
| 90 |
+
"order_n": 240,
|
| 91 |
+
"order_correct": 128
|
| 92 |
+
},
|
| 93 |
+
"reading": {
|
| 94 |
+
"n": 120,
|
| 95 |
+
"canonical_correct": 106,
|
| 96 |
+
"all_order_correct": 104,
|
| 97 |
+
"stable_answers": 116,
|
| 98 |
+
"order_n": 240,
|
| 99 |
+
"order_correct": 212
|
| 100 |
+
},
|
| 101 |
+
"entailment": {
|
| 102 |
+
"n": 120,
|
| 103 |
+
"canonical_correct": 102,
|
| 104 |
+
"all_order_correct": 98,
|
| 105 |
+
"stable_answers": 116,
|
| 106 |
+
"order_n": 240,
|
| 107 |
+
"order_correct": 200
|
| 108 |
+
},
|
| 109 |
+
"science": {
|
| 110 |
+
"n": 120,
|
| 111 |
+
"canonical_correct": 117,
|
| 112 |
+
"all_order_correct": 117,
|
| 113 |
+
"stable_answers": 120,
|
| 114 |
+
"order_n": 240,
|
| 115 |
+
"order_correct": 234
|
| 116 |
+
},
|
| 117 |
+
"banking20": {
|
| 118 |
+
"n": 120,
|
| 119 |
+
"canonical_correct": 113,
|
| 120 |
+
"all_order_correct": 111,
|
| 121 |
+
"stable_answers": 118,
|
| 122 |
+
"order_n": 240,
|
| 123 |
+
"order_correct": 224
|
| 124 |
+
},
|
| 125 |
+
"numeric-fresh": {
|
| 126 |
+
"n": 240,
|
| 127 |
+
"canonical_correct": 240,
|
| 128 |
+
"all_order_correct": 239,
|
| 129 |
+
"stable_answers": 239,
|
| 130 |
+
"order_n": 480,
|
| 131 |
+
"order_correct": 479
|
| 132 |
+
},
|
| 133 |
+
"numeric-unseen": {
|
| 134 |
+
"n": 64,
|
| 135 |
+
"canonical_correct": 64,
|
| 136 |
+
"all_order_correct": 64,
|
| 137 |
+
"stable_answers": 64,
|
| 138 |
+
"order_n": 128,
|
| 139 |
+
"order_correct": 128
|
| 140 |
+
},
|
| 141 |
+
"numeric-challenge": {
|
| 142 |
+
"n": 24,
|
| 143 |
+
"canonical_correct": 23,
|
| 144 |
+
"all_order_correct": 22,
|
| 145 |
+
"stable_answers": 23,
|
| 146 |
+
"order_n": 48,
|
| 147 |
+
"order_correct": 45
|
| 148 |
+
}
|
| 149 |
+
}
|
| 150 |
+
}
|
evidence/core-resource-summary.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"profiles": {
|
| 3 |
+
"base": {
|
| 4 |
+
"samples": 707,
|
| 5 |
+
"sampled_wall_seconds": 425.43988013267517,
|
| 6 |
+
"native_peak_rss_mib": 7271.453125,
|
| 7 |
+
"wrapper_peak_rss_mib": 47.34765625,
|
| 8 |
+
"native_cpu_seconds": 421,
|
| 9 |
+
"wrapper_cpu_seconds": 4,
|
| 10 |
+
"native_average_cpu_cores": 0.9895640245778309,
|
| 11 |
+
"wrapper_average_cpu_cores": 0.009402033487675352,
|
| 12 |
+
"gpu_peak_mib_including_sampled_startup": 7510,
|
| 13 |
+
"first_gpu_sample_mib": 2
|
| 14 |
+
},
|
| 15 |
+
"current": {
|
| 16 |
+
"samples": 883,
|
| 17 |
+
"sampled_wall_seconds": 531.5644588470459,
|
| 18 |
+
"native_peak_rss_mib": 6543.625,
|
| 19 |
+
"wrapper_peak_rss_mib": 50.05078125,
|
| 20 |
+
"native_cpu_seconds": 527,
|
| 21 |
+
"wrapper_cpu_seconds": 4,
|
| 22 |
+
"native_average_cpu_cores": 0.9914131602083666,
|
| 23 |
+
"wrapper_average_cpu_cores": 0.007524957572739025,
|
| 24 |
+
"gpu_peak_mib_including_sampled_startup": 7844,
|
| 25 |
+
"first_gpu_sample_mib": 270
|
| 26 |
+
}
|
| 27 |
+
},
|
| 28 |
+
"notes": [
|
| 29 |
+
"RSS includes resident shared/file-backed pages; do not interpret as private allocated RAM.",
|
| 30 |
+
"Observer follows only study-owned processes and GPU0; sampling can miss transient peaks.",
|
| 31 |
+
"Wrapper here is the research driver. Installed minimal CLI/HTTP process snapshots are reported separately.",
|
| 32 |
+
"CPU time granularity is one second; average CPU cores are process CPU seconds / sampled wall time."
|
| 33 |
+
]
|
| 34 |
+
}
|
evidence/core-selection.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"created": "2026-09-24T09:31:17.006614+00:00",
|
| 3 |
+
"files": {
|
| 4 |
+
"bonsai_runtime/backend.py": "dc84801d37fcb8c346e0358e41f72905d7c69d0afce43af2b6d2e3e868c15b6f",
|
| 5 |
+
"bonsai_runtime/reference.py": "49ad026d1de9c3a0c0f241642b3b558f5b27bec4d7721cce6fb39f70566e3e41",
|
| 6 |
+
"bonsai_runtime/__main__.py": "23799e542967e0ebb213accf23afdb375d9a6ace81c7f1a17c97c26e3bf1b206",
|
| 7 |
+
"bonsai_runtime/agent.py": "2f5ce4c190e358b25578e8dcf1b0d1a33fdbf21b6502158386924b4d69fbbdd1",
|
| 8 |
+
"bonsai_runtime/readout.py": "911186ca5059f4e33faa9f5837f3403b0091ffeb54ed1c78d0991de34ef7d8dd",
|
| 9 |
+
"bonsai_runtime/__init__.py": "535f8abf3a37bc38f9f8ebfe5839a7197a058994f466eaa28990cbec4164bca4",
|
| 10 |
+
"bonsai_runtime/controller.py": "287160d5d56a8068e061474ed17e054b11b3bd264383516cb79d37eaed44fb58",
|
| 11 |
+
"bonsai_runtime/service.py": "a73a0f6f1b2f3f71a490f7702308c7e110260df26ffd132bd6625aabcb9f7a8a",
|
| 12 |
+
"bonsai_runtime/worker.py": "fe6eb5e4e80db1d26c40f45c809d592c6a7d18b28aa6f238ad01ce2547f56df1",
|
| 13 |
+
"bonsai_runtime/decision.py": "7c82bfbc99ae7328f4c82e35cc8b8a1042923383c58288b40f9553b7711d7bad",
|
| 14 |
+
"bonsai_runtime/timefields.py": "d48369ef7241fa36d86939c8e0649962f3991cebe78705303c9b5d634167d548",
|
| 15 |
+
"bonsai_runtime/numeric.py": "500a225a671af1c2b7cc62907263bd0c7d97af87304b3c33b2ddfd60591d1564",
|
| 16 |
+
"analysis/verify_runtime_core.py": "6b13b5b71602084b95f6c069fce743ed98b895c059ae10ca29b7c009f0cefae6"
|
| 17 |
+
},
|
| 18 |
+
"agent_final_audit_sha256": "a2bcb946034ad7a7adaf526e9a9ed1116b1cca7ad6bf724a841ad5fcdcf5329b",
|
| 19 |
+
"changes_after_agent_final": {
|
| 20 |
+
"files": [
|
| 21 |
+
"bonsai_runtime/service.py"
|
| 22 |
+
],
|
| 23 |
+
"purpose": "Graceful SIGTERM/SIGINT cleanup in CLI entry points only; no inference, extraction, controller or model changes.",
|
| 24 |
+
"before": "be31817ff7b8a9ec10ffd42146da3bc4352426482244d58f1b5ca93b791a3c7d",
|
| 25 |
+
"after": "a73a0f6f1b2f3f71a490f7702308c7e110260df26ffd132bd6625aabcb9f7a8a"
|
| 26 |
+
},
|
| 27 |
+
"tests": {
|
| 28 |
+
"passed": 54,
|
| 29 |
+
"exit_code": 0
|
| 30 |
+
}
|
| 31 |
+
}
|
evidence/public-sources.json
ADDED
|
@@ -0,0 +1,106 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"domain": "news",
|
| 4 |
+
"repo": "fancyzhx/ag_news",
|
| 5 |
+
"hub_revision": "eb185aade064a813bc0b7f42de02595523103ca4",
|
| 6 |
+
"config": "default",
|
| 7 |
+
"split": "test",
|
| 8 |
+
"total": 7600,
|
| 9 |
+
"eligible": 7600,
|
| 10 |
+
"sample": 120,
|
| 11 |
+
"license": [
|
| 12 |
+
"unknown"
|
| 13 |
+
],
|
| 14 |
+
"transport": "dataset-server full split snapshot; exact viewer source revision unknown"
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"domain": "emotion",
|
| 18 |
+
"repo": "dair-ai/emotion",
|
| 19 |
+
"hub_revision": "cab853a1dbdf4c42c2b3ef2173804746df8825fe",
|
| 20 |
+
"config": "split",
|
| 21 |
+
"split": "test",
|
| 22 |
+
"total": 2000,
|
| 23 |
+
"eligible": 2000,
|
| 24 |
+
"sample": 120,
|
| 25 |
+
"license": [
|
| 26 |
+
"other"
|
| 27 |
+
],
|
| 28 |
+
"transport": "dataset-server full split snapshot; exact viewer source revision unknown"
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"domain": "reading",
|
| 32 |
+
"repo": "google/boolq",
|
| 33 |
+
"hub_revision": "35b264d03638db9f4ce671b711558bf7ff0f80d5",
|
| 34 |
+
"config": "default",
|
| 35 |
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"split": "validation",
|
| 36 |
+
"total": 3270,
|
| 37 |
+
"eligible": 3270,
|
| 38 |
+
"sample": 120,
|
| 39 |
+
"license": [
|
| 40 |
+
"cc-by-sa-3.0"
|
| 41 |
+
],
|
| 42 |
+
"transport": "dataset-server full split snapshot; exact viewer source revision unknown"
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
+
"domain": "entailment",
|
| 46 |
+
"repo": "stanfordnlp/snli",
|
| 47 |
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"hub_revision": "cdb5c3d5eed6ead6e5a341c8e56e669bb666725b",
|
| 48 |
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"config": "plain_text",
|
| 49 |
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"split": "test",
|
| 50 |
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"total": 10000,
|
| 51 |
+
"eligible": 9824,
|
| 52 |
+
"sample": 120,
|
| 53 |
+
"license": [
|
| 54 |
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"cc-by-sa-4.0"
|
| 55 |
+
],
|
| 56 |
+
"transport": "pinned Hub revision Parquet"
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"domain": "science",
|
| 60 |
+
"repo": "allenai/ai2_arc",
|
| 61 |
+
"hub_revision": "210d026faf9955653af8916fad021475a3f00453",
|
| 62 |
+
"config": "ARC-Challenge",
|
| 63 |
+
"split": "test",
|
| 64 |
+
"total": 1172,
|
| 65 |
+
"eligible": 1172,
|
| 66 |
+
"sample": 120,
|
| 67 |
+
"license": [
|
| 68 |
+
"cc-by-sa-4.0"
|
| 69 |
+
],
|
| 70 |
+
"transport": "pinned Hub revision Parquet"
|
| 71 |
+
},
|
| 72 |
+
{
|
| 73 |
+
"domain": "banking20",
|
| 74 |
+
"repo": "PolyAI/banking77",
|
| 75 |
+
"upstream_url": "https://raw.githubusercontent.com/PolyAI-LDN/task-specific-datasets/57ec275d8078af65b7731c2a98be812d844a6d6b/banking_data/test.csv",
|
| 76 |
+
"revision": "57ec275d8078af65b7731c2a98be812d844a6d6b",
|
| 77 |
+
"total": 3080,
|
| 78 |
+
"sample": 120,
|
| 79 |
+
"classes": [
|
| 80 |
+
"Refund_not_showing_up",
|
| 81 |
+
"balance_not_updated_after_cheque_or_cash_deposit",
|
| 82 |
+
"card_arrival",
|
| 83 |
+
"card_payment_not_recognised",
|
| 84 |
+
"change_pin",
|
| 85 |
+
"compromised_card",
|
| 86 |
+
"declined_card_payment",
|
| 87 |
+
"declined_cash_withdrawal",
|
| 88 |
+
"edit_personal_details",
|
| 89 |
+
"exchange_charge",
|
| 90 |
+
"failed_transfer",
|
| 91 |
+
"getting_virtual_card",
|
| 92 |
+
"lost_or_stolen_phone",
|
| 93 |
+
"passcode_forgotten",
|
| 94 |
+
"reverted_card_payment?",
|
| 95 |
+
"supported_cards_and_currencies",
|
| 96 |
+
"terminate_account",
|
| 97 |
+
"top_up_by_cash_or_cheque",
|
| 98 |
+
"top_up_reverted",
|
| 99 |
+
"unable_to_verify_identity"
|
| 100 |
+
],
|
| 101 |
+
"license": [
|
| 102 |
+
"cc-by-4.0"
|
| 103 |
+
],
|
| 104 |
+
"note": "20 of 77 intents, six test examples per intent; not full Banking77"
|
| 105 |
+
}
|
| 106 |
+
]
|
examples/evaluation.jsonl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"id": "pens", "request": {"state": "There are 9 boxes with 12 pens in each.", "question": "How many pens are there?", "options": [["a", "108"], ["b", "96"], ["c", "21"]]}, "expected": "a"}
|
| 2 |
+
{"id": "greeting", "request": {"state": "Hello, nice to meet you.", "question": "Which type of message is this?", "options": [["greeting", "A greeting"], ["farewell", "A farewell"]]}, "expected": "greeting"}
|
| 3 |
+
{"id": "change", "request": {"state": "An item costs $2. You pay $5.", "question": "How much change do you receive?", "options": [["three", "$3"], ["seven", "$7"], ["two", "$2"]]}, "expected": "three"}
|
examples/requests.jsonl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"state": "There are 9 boxes with 12 pens in each.", "question": "How many pens are there?", "options": [["a", "108"], ["b", "96"], ["c", "21"]]}
|
| 2 |
+
{"state": "Hello, nice to meet you.", "question": "Which type of message is this?", "options": [["greeting", "A greeting"], ["farewell", "A farewell"]]}
|
| 3 |
+
{"state": "An item costs $2. You pay $5.", "question": "How much change do you receive?", "options": [["three", "$3"], ["seven", "$7"], ["two", "$2"]]}
|
licenses/base-weights-APACHE-2.0
ADDED
|
@@ -0,0 +1,177 @@
|
|
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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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licenses/native-MIT
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
| 1 |
+
MIT License
|
| 2 |
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| 3 |
+
Copyright (c) 2023-2026 The ggml authors
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Permission is hereby granted, free of charge, to any person obtaining a copy
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The above copyright notice and this permission notice shall be included in all
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| 15 |
+
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.
|
licenses/openjev-upstream-NOTICE
ADDED
|
@@ -0,0 +1,7 @@
|
|
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|
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|
|
| 1 |
+
OpenJev
|
| 2 |
+
|
| 3 |
+
OpenJev weights: Copyright the OpenJev project, released under CC BY-NC 4.0 (see LICENSE).
|
| 4 |
+
|
| 5 |
+
OpenJev is a derivative work of Qwen/Qwen3.8-27B (revision 1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0), which is licensed under the Apache License, Version 2.0. The weights in this repository were modified from that base by fine-tuning. A copy of the Apache License 2.0 is included as LICENSE-APACHE-2.0. Base model licence: https://huggingface.co/Qwen/Qwen3.8-27B/blob/main/LICENSE
|
| 6 |
+
|
| 7 |
+
The files in helper/ and serve/ are released under the Apache License, Version 2.0.
|
licenses/openjev-weight-terms
ADDED
|
@@ -0,0 +1,408 @@
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|
|
| 1 |
+
Attribution-NonCommercial 4.0 International
|
| 2 |
+
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| 3 |
+
=======================================================================
|
| 4 |
+
|
| 5 |
+
Creative Commons Corporation ("Creative Commons") is not a law firm and
|
| 6 |
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does not provide legal services or legal advice. Distribution of
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| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
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|
| 12 |
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|
| 13 |
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fullest extent possible.
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Using Creative Commons Public Licenses
|
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|
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Creative Commons public licenses provide a standard set of terms and
|
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|
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|
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Considerations for licensors: Our public licenses are
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|
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e. Exceptions and Limitations means fair use, fair dealing, and/or
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|
| 102 |
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| 103 |
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| 105 |
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terms and conditions of this Public License, which are limited to
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i. NonCommercial means not primarily intended for or directed towards
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|
| 184 |
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|
| 185 |
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b. No downstream restrictions. You may not offer or impose
|
| 186 |
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any additional or different terms or conditions on, or
|
| 187 |
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apply any Effective Technological Measures to, the
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| 188 |
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Licensed Material if doing so restricts exercise of the
|
| 189 |
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Licensed Rights by any recipient of the Licensed
|
| 190 |
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Material.
|
| 191 |
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|
| 192 |
+
6. No endorsement. Nothing in this Public License constitutes or
|
| 193 |
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may be construed as permission to assert or imply that You
|
| 194 |
+
are, or that Your use of the Licensed Material is, connected
|
| 195 |
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with, or sponsored, endorsed, or granted official status by,
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| 196 |
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the Licensor or others designated to receive attribution as
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| 197 |
+
provided in Section 3(a)(1)(A)(i).
|
| 198 |
+
|
| 199 |
+
b. Other rights.
|
| 200 |
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|
| 201 |
+
1. Moral rights, such as the right of integrity, are not
|
| 202 |
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licensed under this Public License, nor are publicity,
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| 203 |
+
privacy, and/or other similar personality rights; however, to
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| 204 |
+
the extent possible, the Licensor waives and/or agrees not to
|
| 205 |
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assert any such rights held by the Licensor to the limited
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| 206 |
+
extent necessary to allow You to exercise the Licensed
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| 209 |
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2. Patent and trademark rights are not licensed under this
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| 212 |
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| 213 |
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collect royalties from You for the exercise of the Licensed
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| 215 |
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under any voluntary or waivable statutory or compulsory
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| 216 |
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licensing scheme. In all other cases the Licensor expressly
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| 217 |
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reserves any right to collect such royalties, including when
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| 218 |
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the Licensed Material is used other than for NonCommercial
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purposes.
|
| 220 |
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| 222 |
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Section 3 -- License Conditions.
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| 223 |
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|
| 224 |
+
Your exercise of the Licensed Rights is expressly made subject to the
|
| 225 |
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following conditions.
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| 226 |
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|
| 227 |
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a. Attribution.
|
| 228 |
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|
| 229 |
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1. If You Share the Licensed Material (including in modified
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| 230 |
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form), You must:
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| 231 |
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|
| 232 |
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a. retain the following if it is supplied by the Licensor
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| 233 |
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with the Licensed Material:
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| 234 |
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| 235 |
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i. identification of the creator(s) of the Licensed
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| 236 |
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Material and any others designated to receive
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| 237 |
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attribution, in any reasonable manner requested by
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| 238 |
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the Licensor (including by pseudonym if
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| 239 |
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designated);
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| 240 |
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| 241 |
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ii. a copyright notice;
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| 243 |
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iii. a notice that refers to this Public License;
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| 244 |
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| 245 |
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iv. a notice that refers to the disclaimer of
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warranties;
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|
| 248 |
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v. a URI or hyperlink to the Licensed Material to the
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| 249 |
+
extent reasonably practicable;
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| 251 |
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b. indicate if You modified the Licensed Material and
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retain an indication of any previous modifications; and
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| 253 |
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| 254 |
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c. indicate the Licensed Material is licensed under this
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| 256 |
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hyperlink to, this Public License.
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+
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| 258 |
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2. You may satisfy the conditions in Section 3(a)(1) in any
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| 259 |
+
reasonable manner based on the medium, means, and context in
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| 260 |
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which You Share the Licensed Material. For example, it may be
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| 261 |
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reasonable to satisfy the conditions by providing a URI or
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| 262 |
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hyperlink to a resource that includes the required
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information.
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| 264 |
+
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| 265 |
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3. If requested by the Licensor, You must remove any of the
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| 266 |
+
information required by Section 3(a)(1)(A) to the extent
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| 267 |
+
reasonably practicable.
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| 268 |
+
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| 269 |
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4. If You Share Adapted Material You produce, the Adapter's
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License You apply must not prevent recipients of the Adapted
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| 271 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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Where the Licensed Rights include Sui Generis Database Rights that
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| 277 |
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apply to Your use of the Licensed Material:
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| 279 |
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a. for the avoidance of doubt, Section 2(a)(1) grants You the right
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to extract, reuse, reproduce, and Share all or a substantial
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| 281 |
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portion of the contents of the database for NonCommercial purposes
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only;
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| 283 |
+
|
| 284 |
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b. if You include all or a substantial portion of the database
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| 285 |
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contents in a database in which You have Sui Generis Database
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| 286 |
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Rights, then the database in which You have Sui Generis Database
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| 287 |
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Rights (but not its individual contents) is Adapted Material; and
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| 288 |
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|
| 289 |
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c. You must comply with the conditions in Section 3(a) if You Share
|
| 290 |
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all or a substantial portion of the contents of the database.
|
| 291 |
+
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| 292 |
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For the avoidance of doubt, this Section 4 supplements and does not
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| 293 |
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replace Your obligations under this Public License where the Licensed
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| 294 |
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Rights include other Copyright and Similar Rights.
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| 297 |
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Section 5 -- Disclaimer of Warranties and Limitation of Liability.
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a. UNLESS OTHERWISE SEPARATELY UNDERTAKEN BY THE LICENSOR, TO THE
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EXTENT POSSIBLE, THE LICENSOR OFFERS THE LICENSED MATERIAL AS-IS
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AND AS-AVAILABLE, AND MAKES NO REPRESENTATIONS OR WARRANTIES OF
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ANY KIND CONCERNING THE LICENSED MATERIAL, WHETHER EXPRESS,
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IMPLIED, STATUTORY, OR OTHER. THIS INCLUDES, WITHOUT LIMITATION,
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KNOWN OR DISCOVERABLE. WHERE DISCLAIMERS OF WARRANTIES ARE NOT
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| 310 |
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b. TO THE EXTENT POSSIBLE, IN NO EVENT WILL THE LICENSOR BE LIABLE
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TO YOU ON ANY LEGAL THEORY (INCLUDING, WITHOUT LIMITATION,
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| 317 |
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| 318 |
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| 319 |
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| 320 |
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|
| 322 |
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| 323 |
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| 325 |
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| 326 |
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terminate automatically.
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+
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| 333 |
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b. Where Your right to use the Licensed Material has terminated under
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Section 6(a), it reinstates:
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| 335 |
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|
| 336 |
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1. automatically as of the date the violation is cured, provided
|
| 337 |
+
it is cured within 30 days of Your discovery of the
|
| 338 |
+
violation; or
|
| 339 |
+
|
| 340 |
+
2. upon express reinstatement by the Licensor.
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| 341 |
+
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| 342 |
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For the avoidance of doubt, this Section 6(b) does not affect any
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| 343 |
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right the Licensor may have to seek remedies for Your violations
|
| 344 |
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of this Public License.
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| 346 |
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c. For the avoidance of doubt, the Licensor may also offer the
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| 350 |
+
|
| 351 |
+
d. Sections 1, 5, 6, 7, and 8 survive termination of this Public
|
| 352 |
+
License.
|
| 353 |
+
|
| 354 |
+
|
| 355 |
+
Section 7 -- Other Terms and Conditions.
|
| 356 |
+
|
| 357 |
+
a. The Licensor shall not be bound by any additional or different
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|
| 359 |
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|
| 360 |
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b. Any arrangements, understandings, or agreements regarding the
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| 361 |
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Licensed Material not stated herein are separate from and
|
| 362 |
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independent of the terms and conditions of this Public License.
|
| 363 |
+
|
| 364 |
+
|
| 365 |
+
Section 8 -- Interpretation.
|
| 366 |
+
|
| 367 |
+
a. For the avoidance of doubt, this Public License does not, and
|
| 368 |
+
shall not be interpreted to, reduce, limit, restrict, or impose
|
| 369 |
+
conditions on any use of the Licensed Material that could lawfully
|
| 370 |
+
be made without permission under this Public License.
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+
|
| 372 |
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b. To the extent possible, if any provision of this Public License is
|
| 373 |
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deemed unenforceable, it shall be automatically reformed to the
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| 374 |
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minimum extent necessary to make it enforceable. If the provision
|
| 375 |
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cannot be reformed, it shall be severed from this Public License
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without affecting the enforceability of the remaining terms and
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conditions.
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|
| 379 |
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c. No term or condition of this Public License will be waived and no
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failure to comply consented to unless expressly agreed to by the
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Licensor.
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d. Nothing in this Public License constitutes or may be interpreted
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as a limitation upon, or waiver of, any privileges and immunities
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+
that apply to the Licensor or You, including from the legal
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| 386 |
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processes of any jurisdiction or authority.
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| 387 |
+
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| 388 |
+
=======================================================================
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| 389 |
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|
| 390 |
+
Creative Commons is not a party to its public
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| 391 |
+
licenses. Notwithstanding, Creative Commons may elect to apply one of
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public licenses is dedicated to the public domain under the CC0 Public
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| 395 |
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Domain Dedication. Except for the limited purpose of indicating that
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| 396 |
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| 397 |
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| 398 |
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|
| 399 |
+
use of the trademark "Creative Commons" or any other trademark or logo
|
| 400 |
+
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without limitation, in connection with any unauthorized modifications
|
| 402 |
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to any of its public licenses or any other arrangements,
|
| 403 |
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understandings, or agreements concerning use of licensed material. For
|
| 404 |
+
the avoidance of doubt, this paragraph does not form part of the
|
| 405 |
+
public licenses.
|
| 406 |
+
|
| 407 |
+
Creative Commons may be contacted at creativecommons.org.
|
| 408 |
+
|
licenses/prism-bonsai-NOTICE
ADDED
|
@@ -0,0 +1,4 @@
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
This software is copyright 2026-present Prism ML, Inc. It is available under the Apache 2.0 license.
|
| 2 |
+
If you publicly deploy or redistribute this software, we would appreciate attribution such as: "Created using Bonsai by Prism ML."
|
| 3 |
+
|
| 4 |
+
This software is built from Qwen3.8-27B, Copyright 2026 Alibaba Cloud, which is available under the Apache 2.0 License: https://huggingface.co/Qwen/Qwen3.8-27B/blob/main/LICENSE
|
licenses/qwen-base-APACHE-2.0
ADDED
|
@@ -0,0 +1,202 @@
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|
|
| 1 |
+
|
| 2 |
+
Apache License
|
| 3 |
+
Version 2.0, January 2004
|
| 4 |
+
http://www.apache.org/licenses/
|
| 5 |
+
|
| 6 |
+
TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
|
| 7 |
+
|
| 8 |
+
1. Definitions.
|
| 9 |
+
|
| 10 |
+
"License" shall mean the terms and conditions for use, reproduction,
|
| 11 |
+
and distribution as defined by Sections 1 through 9 of this document.
|
| 12 |
+
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| 13 |
+
"Licensor" shall mean the copyright owner or entity authorized by
|
| 14 |
+
the copyright owner that is granting the License.
|
| 15 |
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|
| 16 |
+
"Legal Entity" shall mean the union of the acting entity and all
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| 17 |
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|
| 18 |
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control with that entity. For the purposes of this definition,
|
| 19 |
+
"control" means (i) the power, direct or indirect, to cause the
|
| 20 |
+
direction or management of such entity, whether by contract or
|
| 21 |
+
otherwise, or (ii) ownership of fifty percent (50%) or more of the
|
| 22 |
+
outstanding shares, or (iii) beneficial ownership of such entity.
|
| 23 |
+
|
| 24 |
+
"You" (or "Your") shall mean an individual or Legal Entity
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| 25 |
+
exercising permissions granted by this License.
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| 27 |
+
"Source" form shall mean the preferred form for making modifications,
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| 28 |
+
including but not limited to software source code, documentation
|
| 29 |
+
source, and configuration files.
|
| 30 |
+
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| 31 |
+
"Object" form shall mean any form resulting from mechanical
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| 32 |
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transformation or translation of a Source form, including but
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| 33 |
+
not limited to compiled object code, generated documentation,
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| 34 |
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"Work" shall mean the work of authorship, whether in Source or
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ADDED
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licenses/runtime-NOTICE
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Bonsai decision runtime
|
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|
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|
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native-runtime.json
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MIT License
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Copyright (c) 2023-2026 The ggml authors
|
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Permission is hereby granted, free of charge, to any person obtaining a copy
|
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of this software and associated documentation files (the "Software"), to deal
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
|
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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SOFTWARE.
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 939104
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native/bin/libggml-cpu.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:eed2acd145c161a1c902efe435d6879a1aa7481c1ac729b93d8911931d60fc00
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| 3 |
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size 1421624
|
native/bin/libggml-cpu.so.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1421624
|
native/bin/libggml-cpu.so.0.21.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:eed2acd145c161a1c902efe435d6879a1aa7481c1ac729b93d8911931d60fc00
|
| 3 |
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size 1421624
|
native/bin/libggml-cuda.so
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:b3be257e214b5d8264a57a56185d9612024ddee7f9bd38662f7e981a596353e1
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| 3 |
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size 49193080
|
native/bin/libggml-cuda.so.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3be257e214b5d8264a57a56185d9612024ddee7f9bd38662f7e981a596353e1
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| 3 |
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size 49193080
|
native/bin/libggml-cuda.so.0.21.0
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
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|
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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size 49193080
|
native/bin/libggml.so
ADDED
|
Binary file (55.4 kB). View file
|
|
|
native/bin/libggml.so.0
ADDED
|
Binary file (55.4 kB). View file
|
|
|
native/bin/libggml.so.0.21.0
ADDED
|
Binary file (55.4 kB). View file
|
|
|
native/bin/libllama-cli-impl.so
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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size 235344
|
native/bin/libllama-common.so
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 5769016
|
native/bin/libllama-common.so.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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size 5769016
|
native/bin/libllama-common.so.0.2.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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