diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md new file mode 100644 index 0000000000000000000000000000000000000000..a0fd70e914131b630719d10e15dbb4d2e36787e9 --- /dev/null +++ b/CONTRIBUTING.md @@ -0,0 +1,48 @@ +# Contributing + +## Developer Certificate of Origin (DCO) + +We require that all contributors "sign-off" on their commits. This certifies that the contribution is your original +work, or you have rights to submit it under the same license, or a compatible license. + +Any contribution which contains commits that are not signed off are not accepted. + +To sign off on a commit, use the `--signoff` (or `-s`) option when you commit your changes: + +```bash +git commit --signoff --message "Add cool feature." +``` + +This appends the following text to your commit message: + +```text +Signed-off-by: Your Name +``` + +### Full text of the Developer Certificate of Origin + +```text +Developer Certificate of Origin +Version 1.1 + +Copyright (C) 2004, 2006 The Linux Foundation and its contributors. + +Everyone is permitted to copy and distribute verbatim copies of this license document, but changing it is not allowed. + + +Developer's Certificate of Origin 1.1 + +By making a contribution to this project, I certify that: + +(a) The contribution was created in whole or in part by me and I have the right to submit it under the open source license indicated in the file; or + +(b) The contribution is based upon previous work that, to the best of my knowledge, is covered under an appropriate open source license and I have the right under that license to submit that work with modifications, whether created in whole or in part by me, under the same open source license (unless I am permitted to submit under a different license), as indicated in the file; or + +(c) The contribution was provided directly to me by some other person who certified (a), (b) or (c) and I have not modified it. + +(d) I understand and agree that this project and the contribution are public and that a record of the contribution (including all personal information I submit with it, including my sign-off) is maintained indefinitely and may be redistributed consistent with this project or the open source license(s) involved. +``` + +## License + +By contributing to this project, you agree that your contributions will be licensed under the [OpenMDW-1.1 License](LICENSE). All contributions must comply with the terms of this license. diff --git a/Dockerfile b/Dockerfile new file mode 100644 index 0000000000000000000000000000000000000000..3fc8704a1a290f75cd60f6919f32781eae57b1b5 --- /dev/null +++ b/Dockerfile @@ -0,0 +1,19 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +FROM vllm/vllm-openai:v0.26.0 +LABEL org.opencontainers.image.title="Nemotron 3.5 Parse" \ + org.opencontainers.image.version="3.5.0.post7" \ + org.opencontainers.image.licenses="OpenMDW-1.1" +WORKDIR /workspace +RUN python3 -m venv /opt/nemotron-parse-venv +ENV PATH="/opt/nemotron-parse-venv/bin:$PATH" \ + VIRTUAL_ENV="/opt/nemotron-parse-venv" \ + PYTHONPATH="" +COPY pyproject.toml LICENSE THIRD_PARTY_NOTICES.md TOKENIZER_ATTRIBUTION.md postprocessing.py latex2html.py /tmp/nemotron-package/ +COPY nemotron_parse /tmp/nemotron-package/nemotron_parse +COPY vllm_tied_patch /tmp/nemotron-package/vllm_tied_patch +RUN python3 -m pip install "/tmp/nemotron-package[vllm,client]" && python3 -m pip check +COPY . /workspace +ENTRYPOINT ["python3", "-m", "vllm.entrypoints.openai.api_server"] +CMD ["--model", "/workspace", "--served-model-name", "nemotron-parse", "--trust-remote-code", "--dtype", "bfloat16", "--distributed-executor-backend", "uni", "--tensor-parallel-size", "1", "--max-model-len", "16384", "--max-num-seqs", "192", "--max-num-batched-tokens", "16384", "--no-enable-prefix-caching", "--attention-config", "{\"flash_attn_version\":3}", "--limit-mm-per-prompt", "{\"image\":1}", "--chat-template", "/workspace/chat_template.jinja"] diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000000000000000000000000000000000000..3618e26f595c524d2aee87535e8ed4257cfd1adb --- /dev/null +++ b/LICENSE @@ -0,0 +1,57 @@ +Unless separately indicated, the model weights and NVIDIA-provided source code +and documentation are licensed under the OpenMDW-1.1 License. +The tokenizer included with this model is separately licensed under the +MIT license. See TOKENIZER_ATTRIBUTION.md for the license text, +original copyright notice, source, and NVIDIA modification history. + +------------ +Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. + + +OpenMDW License Agreement, version 1.1 (OpenMDW-1.1) + +By exercising rights granted to you under this agreement, you accept and agree +to its terms. + +As used in this agreement, "Model Materials" means the materials provided to +you under this agreement, consisting of: (1) one or more machine learning +models (including architecture and parameters); and (2) all related artifacts +(including associated data, documentation and software) that are provided to +you hereunder. + +Subject to your compliance with this agreement, permission is hereby granted, +free of charge, to deal in the Model Materials without restriction, including +under all copyright, patent, database, and trade secret rights included or +embodied therein. + +If you distribute any portion of the Model Materials, you shall retain in your +distribution (1) a copy of this agreement, and (2) all copyright notices and +other notices of origin included in the Model Materials that are applicable to +your distribution. +If you file, maintain, or voluntarily participate in a lawsuit against any +person or entity asserting that the Model Materials directly or indirectly +infringe any patent or copyright, then all rights and grants made to you +hereunder are terminated, unless that lawsuit was in response to a +corresponding lawsuit first brought against you. + +This agreement does not impose any restrictions or obligations with respect to +any use, modification, or sharing of any outputs generated by using the Model +Materials. + +THE MODEL MATERIALS ARE PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE, TITLE, NONINFRINGEMENT, ACCURACY, OR THE +ABSENCE OF LATENT OR OTHER DEFECTS OR ERRORS, WHETHER OR NOT DISCOVERABLE, ALL +TO THE GREATEST EXTENT PERMISSIBLE UNDER APPLICABLE LAW. + +YOU ARE SOLELY RESPONSIBLE FOR (1) CLEARING RIGHTS OF OTHER PERSONS THAT MAY +APPLY TO THE MODEL MATERIALS OR ANY USE THEREOF, INCLUDING WITHOUT LIMITATION +ANY PERSON'S COPYRIGHTS OR OTHER RIGHTS INCLUDED OR EMBODIED IN THE MODEL +MATERIALS; (2) OBTAINING ANY NECESSARY CONSENTS, PERMISSIONS OR OTHER RIGHTS +REQUIRED FOR ANY USE OF THE MODEL MATERIALS; OR (3) PERFORMING ANY DUE +DILIGENCE OR UNDERTAKING ANY OTHER INVESTIGATIONS INTO THE MODEL MATERIALS OR +ANYTHING INCORPORATED OR EMBODIED THEREIN. +IN NO EVENT SHALL THE PROVIDERS OF THE MODEL MATERIALS BE LIABLE FOR ANY CLAIM, +DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE MODEL MATERIALS, THE +USE THEREOF OR OTHER DEALINGS THEREIN. diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..50e2eec026c2b9b843e013042b41ba773e4a28ba --- /dev/null +++ b/README.md @@ -0,0 +1,102 @@ +--- +license: other +license_name: openmdw-1.1 +base_model: nvidia/Nemotron-3.5-Parse +library_name: transformers +pipeline_tag: image-text-to-text +tags: +- document-parsing +- ocr +- tables +- charts +- thrisul +--- +# Thrisul-Parser + +A derivative of [`nvidia/Nemotron-3.5-Parse`](https://huggingface.co/nvidia/Nemotron-3.5-Parse) (631M parameters) built by TIMPS. +It adds two things on top of the base parser: **(A) verifier-routed refinement** and **(B) a lightweight resolution self-distillation post-training pass**. + +## What is new +1. **Verifier-routed refinement (inference).** The base model's double/triple pass re-decodes *every* detected table/chart at native resolution. + Thrisul runs the page once, scores each table/chart region with a cheap verifier (decoder token uncertainty, structure sanity checks, + and a render-vs-crop similarity feature from the vision encoder), and re-decodes **only** the regions a small gradient-boosted router predicts will gain. + Code: `thrisul_pipeline.py` (`parse_page(..., mode="routed")`), router: `thrisul_router.joblib`. +2. **Resolution self-distillation (weights).** LoRA (r=16, decoder linears) trained so that the *page-scale view* of a table/chart produces the output the model + itself gives at *native resolution*, filtered by ground-truth quality (teacher score >= 0.8 and not worse than the page-scale output), with native-resolution anchors and text-page replay to avoid forgetting. + The LoRA was merged losslessly into the original weights (untouched tensors, including the MTP head, are bit-identical to the base). + +## Training data (all exact-ground-truth or model-generated; no benchmark data was used for training) +- Procedurally rendered tables (merged cells, multi-level headers, numeric/currency/percent columns) and charts (bar/line/pie/stacked, labelled and unlabelled) with exact ground truth. +- 300 real charts from ChartNet (if available in the build session). +- Targets are the base model's own native-resolution outputs (so the output format is unchanged), quality-filtered against ground truth. +- Compute: Kaggle free tier (T4), LoRA, 166 optimizer steps. + +## Results (read the caveats) +All numbers below were measured by us on **held-out synthetic data and a small ParseBench-proxy sample**, on a **T4** GPU with Transformers (no vLLM). +They are **not** the official ParseBench score and are **not comparable** to the H100 numbers in the base model's card. + +Held-out synthetic regions (page-scale input; `routed` refines only regions the router selects): + +| system | score | refine_frac | sec_per_region | n | +|---|---|---|---|---| +| base_single | 0.800 | 0.000 | 0.723 | 150 | +| base_double(all) | 0.954 | 1.000 | 1.612 | 150 | +| base_routed | 0.951 | 0.500 | 1.165 | 150 | +| thr_single | 0.816 | 0.000 | 0.939 | 150 | +| thr_double(all) | 0.957 | 1.000 | 1.818 | 150 | +| thr_routed | 0.956 | 0.680 | 1.517 | 150 | + +Full synthetic pages through the real pipeline (table score): + +| system | table_score | sec_per_page | pages_per_s | map_fail_rate | regions_refined | n | +|---|---|---|---|---|---|---| +| base_single | 0.996 | 5.272 | 0.190 | 0.000 | 0 | 24 | +| base_double(all) | 0.988 | 7.664 | 0.130 | 0.000 | 24 | 24 | +| base_routed | 0.988 | 7.305 | 0.137 | 0.000 | 20 | 24 | +| thr_single | 0.996 | 5.294 | 0.189 | 0.000 | 0 | 24 | +| thr_routed | 0.997 | 7.504 | 0.133 | 0.000 | 22 | 24 | + +ParseBench-proxy on real PDFs (first table/chart of the page vs `expected_markdown`; crude proxy, small n): + +not run (dataset load failed in this session) + +Verifier ablation (out-of-fold, which signals predict the benefit of refinement): + +| features | spearman | auc | refine_frac_for_90pct_gain | gain_captured_at_30pct | +|---|---|---|---|---| +| entropy+structure | 0.653 | 0.850 | 0.548 | 0.791 | +| all (entropy+structure+render) | 0.659 | 0.852 | 0.538 | 0.788 | +| entropy | 0.646 | 0.844 | 0.552 | 0.773 | +| render only | 0.417 | 0.732 | 0.767 | 0.606 | +| structure | 0.287 | 0.663 | 0.917 | 0.541 | + +Text regression check (Thrisul-single vs base-single page markdown similarity): 97.0 % + +Published reference numbers (self-reported by their authors, different protocol/hardware): Nemotron 3.5 Parse ParseBench 72.74 / 74.92 / 75.20 (single / double / triple pass); Infinity-Parser2-Pro 74.3. + +## Usage +```python +import torch, sys +from huggingface_hub import snapshot_download +from transformers import AutoModel, AutoProcessor, GenerationConfig +path = snapshot_download("sandeeprdy1729/thrisul-parser") +sys.path.insert(0, path) +from postprocessing import postprocess_document # shipped from the base model +import thrisul_pipeline as tp +model = AutoModel.from_pretrained(path, trust_remote_code=True, dtype=torch.bfloat16).cuda().eval() # use float16 on T4 +processor = AutoProcessor.from_pretrained(path, trust_remote_code=True) +gen_cfg = GenerationConfig.from_pretrained(path) +router = tp.Router.load(path + "/thrisul_router.joblib") +post = lambda text, image_size: postprocess_document(text, image_size=image_size) +out = tp.parse_page(model, processor, gen_cfg, image, post, mode="routed", router=router) # or mode="single" / "all" +print(out["md"]) +``` + +## Limitations +- Trained on synthetic + a small number of real charts; real-document gains are unproven beyond the proxy above. +- Router features depend on this tokenizer's `` tokens and on region<->table mapping; pages where mapping fails fall back to single pass. +- The router was fitted on crop-level labels and applied to page-level generations (distribution shift). +- Evaluated on a T4 with Transformers; throughput claims do not transfer to H100/vLLM. + +## License and attribution +Derivative work of NVIDIA Nemotron 3.5 Parse; use is governed by the base model's license (OpenMDW 1.1) and the third-party notices in this repository. See `LICENSE` and the notice files copied from the base repo. diff --git a/THIRD_PARTY_NOTICES.md b/THIRD_PARTY_NOTICES.md new file mode 100644 index 0000000000000000000000000000000000000000..86918c75fe51d4a8cf5d17fa070efa2f6de21f1a --- /dev/null +++ b/THIRD_PARTY_NOTICES.md @@ -0,0 +1,14984 @@ +# Third-party notices + +accelerate 1.12.0 - Apache License 2.0 + +License Text(https://github.com/huggingface/accelerate/blob/main/LICENSE) + +This notice applies to **accelerate**. + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. 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If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. 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Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + +----- + +timm 1.0.22 - Apache License 2.0 + +This notice applies to **timm**. + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + +----- + +vLLM 0.26.0 - Apache License 2.0 + +This notice applies to **vLLM**. + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + +----- + +openai 2.30.0 - Apache License 2.0 + +This notice applies to **openai**. + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + +----- + +pytest 9.0.2 - MIT License + +License Text(https://github.com/pytest-dev/pytest/blob/main/LICENSE) + +This notice applies to **pytest**. + +The MIT License (MIT) + +Copyright (c) 2004 Holger Krekel and others + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies +of the Software, and to permit persons to whom the Software is furnished to do +so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. + + END OF TERMS AND CONDITIONS + +----- + +safetensors 0.8.0 - Apache License 2.0 + +License Text(https://github.com/safetensors/safetensors/blob/main/LICENSE) +This notice applies to **safetensors**. + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. 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In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + +----- + +## Meta Platforms, Inc. and affiliates — Nougat tokenizer — MIT License + +Component: `nougat/dataset/tokenizer.json` + +Source: https://github.com/facebookresearch/nougat/blob/5a92920d342fb6acf05fc9b594ccb4053dbe8e7a/nougat/dataset/tokenizer.json + +Source revision: `5a92920d342fb6acf05fc9b594ccb4053dbe8e7a` + +Attribution Statements: Modified by NVIDIA. The base 50,000-token vocabulary and token IDs, BPE merge rules, decoder, and original special-token IDs are retained. NVIDIA added multilingual and document-parsing tokens, including chart-related tokens, expanding the tokenizer to 72,505 entries, and modified pre-tokenization. + +License Text (https://github.com/facebookresearch/nougat/blob/5a92920d342fb6acf05fc9b594ccb4053dbe8e7a/LICENSE) + +MIT License + +Copyright (c) Meta Platforms, Inc. and affiliates. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. + +## NVIDIA tokenizer modifications + +Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. + +License: MIT + + +----- + +## Additional HTTP client and benchmark environment notices + +httpx 0.28.1 is an optional HTTP client dependency of the public parsing helpers. +It is separately installed and is not vendored in the nemotron-parse wheel. +Source: https://github.com/encode/httpx/tree/0.28.1 +License: BSD-3-Clause. The text below is copied from its exact published wheel. + +```text +Copyright © 2019, [Encode OSS Ltd](https://www.encode.io/). +All rights reserved. + +Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. + +* Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + +The following inventory covers all 80 entries of the portable pipeline's +`requirements-scorer-lock.txt`, including version-specific dependency notices and +bundled subcomponent license texts supplied by those distributions. These are +separately installed tools, not components relicensed under OpenMDW-1.1. In +particular, PyMuPDF declares AGPL/commercial terms; Levenshtein, +python-Levenshtein and Unidecode declare GPL terms. Their upstream license texts +remain applicable. No commercial-license entitlement is asserted here. + +The official ParseBench source is downloaded separately at revision +`9af4102e26b51f234ab5f037e19fec05c0696ec6`. The inventory below covers its pinned +Python environment; it does not redistribute benchmark data or model outputs. +Any external Poppler/Tesseract executables used through optional Python wrappers +are installed separately and retain their own upstream licenses. Their binaries +are not included in this package or the portable pipeline. + +Exact version, metadata and license-file hashes are recorded in +`reference/package/benchmark_environment_components.json`. The texts below +supplement the historical portable pipeline notices as well as the root package. + +## aiohappyeyeballs 2.7.1 + +Declared license: PSF-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Bug Tracker, https://github.com/aio-libs/aiohappyeyeballs/issues; Changelog, https://github.com/aio-libs/aiohappyeyeballs/blob/main/CHANGELOG.md; Documentation, https://aiohappyeyeballs.readthedocs.io; Repository, https://github.com/aio-libs/aiohappyeyeballs + +### licenses/LICENSE + +```text +A. HISTORY OF THE SOFTWARE +========================== + +Python was created in the early 1990s by Guido van Rossum at Stichting +Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands +as a successor of a language called ABC. Guido remains Python's +principal author, although it includes many contributions from others. + +In 1995, Guido continued his work on Python at the Corporation for +National Research Initiatives (CNRI, see https://www.cnri.reston.va.us) +in Reston, Virginia where he released several versions of the +software. + +In May 2000, Guido and the Python core development team moved to +BeOpen.com to form the BeOpen PythonLabs team. In October of the same +year, the PythonLabs team moved to Digital Creations, which became +Zope Corporation. In 2001, the Python Software Foundation (PSF, see +https://www.python.org/psf/) was formed, a non-profit organization +created specifically to own Python-related Intellectual Property. +Zope Corporation was a sponsoring member of the PSF. + +All Python releases are Open Source (see https://opensource.org for +the Open Source Definition). Historically, most, but not all, Python +releases have also been GPL-compatible; the table below summarizes +the various releases. + + Release Derived Year Owner GPL- + from compatible? (1) + + 0.9.0 thru 1.2 1991-1995 CWI yes + 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes + 1.6 1.5.2 2000 CNRI no + 2.0 1.6 2000 BeOpen.com no + 1.6.1 1.6 2001 CNRI yes (2) + 2.1 2.0+1.6.1 2001 PSF no + 2.0.1 2.0+1.6.1 2001 PSF yes + 2.1.1 2.1+2.0.1 2001 PSF yes + 2.1.2 2.1.1 2002 PSF yes + 2.1.3 2.1.2 2002 PSF yes + 2.2 and above 2.1.1 2001-now PSF yes + +Footnotes: + +(1) GPL-compatible doesn't mean that we're distributing Python under + the GPL. All Python licenses, unlike the GPL, let you distribute + a modified version without making your changes open source. The + GPL-compatible licenses make it possible to combine Python with + other software that is released under the GPL; the others don't. + +(2) According to Richard Stallman, 1.6.1 is not GPL-compatible, + because its license has a choice of law clause. According to + CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1 + is "not incompatible" with the GPL. + +Thanks to the many outside volunteers who have worked under Guido's +direction to make these releases possible. + + +B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON +=============================================================== + +Python software and documentation are licensed under the +Python Software Foundation License Version 2. + +Starting with Python 3.8.6, examples, recipes, and other code in +the documentation are dual licensed under the PSF License Version 2 +and the Zero-Clause BSD license. + +Some software incorporated into Python is under different licenses. +The licenses are listed with code falling under that license. + + +PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 +-------------------------------------------- + +1. This LICENSE AGREEMENT is between the Python Software Foundation +("PSF"), and the Individual or Organization ("Licensee") accessing and +otherwise using this software ("Python") in source or binary form and +its associated documentation. + +2. Subject to the terms and conditions of this License Agreement, PSF hereby +grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, +analyze, test, perform and/or display publicly, prepare derivative works, +distribute, and otherwise use Python alone or in any derivative version, +provided, however, that PSF's License Agreement and PSF's notice of copyright, +i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, +2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation; +All Rights Reserved" are retained in Python alone or in any derivative version +prepared by Licensee. + +3. In the event Licensee prepares a derivative work that is based on +or incorporates Python or any part thereof, and wants to make +the derivative work available to others as provided herein, then +Licensee hereby agrees to include in any such work a brief summary of +the changes made to Python. + +4. PSF is making Python available to Licensee on an "AS IS" +basis. PSF MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR +IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, PSF MAKES NO AND +DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS +FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON WILL NOT +INFRINGE ANY THIRD PARTY RIGHTS. + +5. PSF SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON +FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS +A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON, +OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + +6. This License Agreement will automatically terminate upon a material +breach of its terms and conditions. + +7. Nothing in this License Agreement shall be deemed to create any +relationship of agency, partnership, or joint venture between PSF and +Licensee. This License Agreement does not grant permission to use PSF +trademarks or trade name in a trademark sense to endorse or promote +products or services of Licensee, or any third party. + +8. By copying, installing or otherwise using Python, Licensee +agrees to be bound by the terms and conditions of this License +Agreement. + + +BEOPEN.COM LICENSE AGREEMENT FOR PYTHON 2.0 +------------------------------------------- + +BEOPEN PYTHON OPEN SOURCE LICENSE AGREEMENT VERSION 1 + +1. This LICENSE AGREEMENT is between BeOpen.com ("BeOpen"), having an +office at 160 Saratoga Avenue, Santa Clara, CA 95051, and the +Individual or Organization ("Licensee") accessing and otherwise using +this software in source or binary form and its associated +documentation ("the Software"). + +2. Subject to the terms and conditions of this BeOpen Python License +Agreement, BeOpen hereby grants Licensee a non-exclusive, +royalty-free, world-wide license to reproduce, analyze, test, perform +and/or display publicly, prepare derivative works, distribute, and +otherwise use the Software alone or in any derivative version, +provided, however, that the BeOpen Python License is retained in the +Software, alone or in any derivative version prepared by Licensee. + +3. BeOpen is making the Software available to Licensee on an "AS IS" +basis. BEOPEN MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR +IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, BEOPEN MAKES NO AND +DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS +FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF THE SOFTWARE WILL NOT +INFRINGE ANY THIRD PARTY RIGHTS. + +4. BEOPEN SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF THE +SOFTWARE FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS +AS A RESULT OF USING, MODIFYING OR DISTRIBUTING THE SOFTWARE, OR ANY +DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + +5. This License Agreement will automatically terminate upon a material +breach of its terms and conditions. + +6. This License Agreement shall be governed by and interpreted in all +respects by the law of the State of California, excluding conflict of +law provisions. Nothing in this License Agreement shall be deemed to +create any relationship of agency, partnership, or joint venture +between BeOpen and Licensee. This License Agreement does not grant +permission to use BeOpen trademarks or trade names in a trademark +sense to endorse or promote products or services of Licensee, or any +third party. As an exception, the "BeOpen Python" logos available at +http://www.pythonlabs.com/logos.html may be used according to the +permissions granted on that web page. + +7. By copying, installing or otherwise using the software, Licensee +agrees to be bound by the terms and conditions of this License +Agreement. + + +CNRI LICENSE AGREEMENT FOR PYTHON 1.6.1 +--------------------------------------- + +1. This LICENSE AGREEMENT is between the Corporation for National +Research Initiatives, having an office at 1895 Preston White Drive, +Reston, VA 20191 ("CNRI"), and the Individual or Organization +("Licensee") accessing and otherwise using Python 1.6.1 software in +source or binary form and its associated documentation. + +2. Subject to the terms and conditions of this License Agreement, CNRI +hereby grants Licensee a nonexclusive, royalty-free, world-wide +license to reproduce, analyze, test, perform and/or display publicly, +prepare derivative works, distribute, and otherwise use Python 1.6.1 +alone or in any derivative version, provided, however, that CNRI's +License Agreement and CNRI's notice of copyright, i.e., "Copyright (c) +1995-2001 Corporation for National Research Initiatives; All Rights +Reserved" are retained in Python 1.6.1 alone or in any derivative +version prepared by Licensee. Alternately, in lieu of CNRI's License +Agreement, Licensee may substitute the following text (omitting the +quotes): "Python 1.6.1 is made available subject to the terms and +conditions in CNRI's License Agreement. This Agreement together with +Python 1.6.1 may be located on the internet using the following +unique, persistent identifier (known as a handle): 1895.22/1013. This +Agreement may also be obtained from a proxy server on the internet +using the following URL: http://hdl.handle.net/1895.22/1013". + +3. In the event Licensee prepares a derivative work that is based on +or incorporates Python 1.6.1 or any part thereof, and wants to make +the derivative work available to others as provided herein, then +Licensee hereby agrees to include in any such work a brief summary of +the changes made to Python 1.6.1. + +4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS" +basis. CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR +IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND +DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS +FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT +INFRINGE ANY THIRD PARTY RIGHTS. + +5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON +1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS +A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1, +OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + +6. This License Agreement will automatically terminate upon a material +breach of its terms and conditions. + +7. This License Agreement shall be governed by the federal +intellectual property law of the United States, including without +limitation the federal copyright law, and, to the extent such +U.S. federal law does not apply, by the law of the Commonwealth of +Virginia, excluding Virginia's conflict of law provisions. +Notwithstanding the foregoing, with regard to derivative works based +on Python 1.6.1 that incorporate non-separable material that was +previously distributed under the GNU General Public License (GPL), the +law of the Commonwealth of Virginia shall govern this License +Agreement only as to issues arising under or with respect to +Paragraphs 4, 5, and 7 of this License Agreement. Nothing in this +License Agreement shall be deemed to create any relationship of +agency, partnership, or joint venture between CNRI and Licensee. This +License Agreement does not grant permission to use CNRI trademarks or +trade name in a trademark sense to endorse or promote products or +services of Licensee, or any third party. + +8. By clicking on the "ACCEPT" button where indicated, or by copying, +installing or otherwise using Python 1.6.1, Licensee agrees to be +bound by the terms and conditions of this License Agreement. + + ACCEPT + + +CWI LICENSE AGREEMENT FOR PYTHON 0.9.0 THROUGH 1.2 +-------------------------------------------------- + +Copyright (c) 1991 - 1995, Stichting Mathematisch Centrum Amsterdam, +The Netherlands. All rights reserved. + +Permission to use, copy, modify, and distribute this software and its +documentation for any purpose and without fee is hereby granted, +provided that the above copyright notice appear in all copies and that +both that copyright notice and this permission notice appear in +supporting documentation, and that the name of Stichting Mathematisch +Centrum or CWI not be used in advertising or publicity pertaining to +distribution of the software without specific, written prior +permission. + +STICHTING MATHEMATISCH CENTRUM DISCLAIMS ALL WARRANTIES WITH REGARD TO +THIS SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND +FITNESS, IN NO EVENT SHALL STICHTING MATHEMATISCH CENTRUM BE LIABLE +FOR ANY SPECIAL, INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES +WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN +ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT +OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. + +ZERO-CLAUSE BSD LICENSE FOR CODE IN THE PYTHON DOCUMENTATION +---------------------------------------------------------------------- + +Permission to use, copy, modify, and/or distribute this software for any +purpose with or without fee is hereby granted. + +THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH +REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY +AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, +INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM +LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR +OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR +PERFORMANCE OF THIS SOFTWARE. +``` + + +----- + +## aiohttp 3.14.3 + +Declared license: Apache-2.0 AND MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/aio-libs/aiohttp; Chat: Matrix, https://matrix.to/#/#aio-libs:matrix.org; Chat: Matrix Space, https://matrix.to/#/#aio-libs-space:matrix.org; CI: GitHub Actions, https://github.com/aio-libs/aiohttp/actions?query=workflow%3ACI; Coverage: codecov, https://codecov.io/github/aio-libs/aiohttp; Docs: Changelog, https://docs.aiohttp.org/en/stable/changes.html; Docs: RTD, https://docs.aiohttp.org; GitHub: issues, https://github.com/aio-libs/aiohttp/issues; GitHub: repo, https://github.com/aio-libs/aiohttp + +### licenses/LICENSE.txt + +```text +Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. 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Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "{}" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright aio-libs contributors + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` + +### licenses/vendor/llhttp/LICENSE + +```text +MIT License + +Copyright © 2018 Fedor Indutny + +Permission is hereby granted, free of charge, to any person obtaining a +copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to permit +persons to whom the Software is furnished to do so, subject to the +following conditions: + +The above copyright notice and this permission notice shall be included +in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN +NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, +DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR +OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE +USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## aiosignal 1.4.0 + +Declared license: Apache 2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Chat: Gitter, https://gitter.im/aio-libs/Lobby; CI: GitHub Actions, https://github.com/aio-libs/aiosignal/actions; Coverage: codecov, https://codecov.io/github/aio-libs/aiosignal; Docs: RTD, https://docs.aiosignal.org; GitHub: issues, https://github.com/aio-libs/aiosignal/issues; GitHub: repo, https://github.com/aio-libs/aiosignal + +### licenses/LICENSE + +```text +Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "{}" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2013-2019 Nikolay Kim and Andrew Svetlov + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` + + +----- + +## anls_star 1.0.1 + +Declared license: License :: OSI Approved :: Apache Software License + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: changelog, https://github.com/deepopinion/anls_star_metric/blob/main/CHANGELOG.md; issues, https://github.com/deepopinion/anls_star_metric/issues; paper, https://arxiv.org/abs/2402.03848; releasenotes, https://github.com/deepopinion/anls_star_metric/releases; source, https://github.com/deepopinion/anls_star_metric + +The published distribution omits a license file. Text below was retrieved from upstream: https://raw.githubusercontent.com/deepopinion/anls_star_metric/f097e5b99a78c9e65d6012d8f4e66c7594cfd077/LICENSE + +### anls-star-LICENSE + +```text + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "[]" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` + + +----- + +## annotated-doc 0.0.4 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/fastapi/annotated-doc; Documentation, https://github.com/fastapi/annotated-doc; Repository, https://github.com/fastapi/annotated-doc; Issues, https://github.com/fastapi/annotated-doc/issues; Changelog, https://github.com/fastapi/annotated-doc/release-notes.md + +### licenses/LICENSE + +```text +The MIT License (MIT) + +Copyright (c) 2025 Sebastián Ramírez + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. +``` + + +----- + +## annotated-types 0.7.0 + +Declared license: License :: OSI Approved :: MIT License + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/annotated-types/annotated-types; Source, https://github.com/annotated-types/annotated-types; Changelog, https://github.com/annotated-types/annotated-types/releases + +### licenses/LICENSE + +```text +The MIT License (MIT) + +Copyright (c) 2022 the contributors + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## anyio 4.12.1 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://anyio.readthedocs.io/en/latest/; Changelog, https://anyio.readthedocs.io/en/stable/versionhistory.html; Source code, https://github.com/agronholm/anyio; Issue tracker, https://github.com/agronholm/anyio/issues + +### licenses/LICENSE + +```text +The MIT License (MIT) + +Copyright (c) 2018 Alex Grönholm + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## apted 1.0.3 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +### LICENSE + +```text +The MIT License (MIT) + +Copyright (c) 2017 Joao Felipe Pimentel. + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## attrs 25.4.0 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://www.attrs.org/; Changelog, https://www.attrs.org/en/stable/changelog.html; GitHub, https://github.com/python-attrs/attrs; Funding, https://github.com/sponsors/hynek; Tidelift, https://tidelift.com/subscription/pkg/pypi-attrs?utm_source=pypi-attrs&utm_medium=pypi + +### licenses/LICENSE + +```text +The MIT License (MIT) + +Copyright (c) 2015 Hynek Schlawack and the attrs contributors + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## autoevals 0.1.0 + +Declared license: + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Bug Tracker, https://github.com/braintrustdata/autoevals + +### licenses/LICENSE + +```text +MIT License + +Copyright (c) 2023 BrainTrust Data + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## beautifulsoup4 4.14.3 + +Declared license: MIT License + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Download, https://www.crummy.com/software/BeautifulSoup/bs4/download/; Homepage, https://www.crummy.com/software/BeautifulSoup/bs4/ + +### licenses/AUTHORS + +```text +Behold, mortal, the origins of Beautiful Soup... +================================================ + +Leonard Richardson is the primary maintainer. + +Aaron DeVore, Isaac Muse and Chris Papademetrious have made +significant contributions to the code base. + +Mark Pilgrim provided the encoding detection code that forms the base +of UnicodeDammit. + +Thomas Kluyver and Ezio Melotti finished the work of getting Beautiful +Soup 4 working under Python 3. + +Simon Willison wrote soupselect, which was used to make Beautiful Soup +support CSS selectors. Isaac Muse wrote SoupSieve, which made it +possible to _remove_ the CSS selector code from Beautiful Soup. + +Sam Ruby helped with a lot of edge cases. + +Jonathan Ellis was awarded the prestigious Beau Potage D'Or for his +work in solving the nestable tags conundrum. + +An incomplete list of people have contributed patches to Beautiful +Soup: + + Istvan Albert, Andrew Lin, Anthony Baxter, Oliver Beattie, Andrew +Boyko, Tony Chang, Francisco Canas, "Delong", Zephyr Fang, Fuzzy, +Roman Gaufman, Yoni Gilad, Richie Hindle, Toshihiro Kamiya, Peteris +Krumins, Kent Johnson, Marek Kapolka, Andreas Kostyrka, Roel Kramer, +Ben Last, Robert Leftwich, Stefaan Lippens, "liquider", Staffan +Malmgren, Ksenia Marasanova, JP Moins, Adam Monsen, John Nagle, "Jon", +Ed Oskiewicz, Martijn Peters, Greg Phillips, Giles Radford, Stefano +Revera, Arthur Rudolph, Marko Samastur, James Salter, Jouni Seppänen, +Alexander Schmolck, Tim Shirley, Geoffrey Sneddon, Ville Skyttä, +"Vikas", Jens Svalgaard, Andy Theyers, Eric Weiser, Glyn Webster, John +Wiseman, Paul Wright, Danny Yoo + +An incomplete list of people who made suggestions or found bugs or +found ways to break Beautiful Soup: + + Hanno Böck, Matteo Bertini, Chris Curvey, Simon Cusack, Bruce Eckel, + Matt Ernst, Michael Foord, Tom Harris, Bill de hOra, Donald Howes, + Matt Patterson, Scott Roberts, Steve Strassmann, Mike Williams, + warchild at redho dot com, Sami Kuisma, Carlos Rocha, Bob Hutchison, + Joren Mc, Michal Migurski, John Kleven, Tim Heaney, Tripp Lilley, Ed + Summers, Dennis Sutch, Chris Smith, Aaron Swartz, Stuart + Turner, Greg Edwards, Kevin J Kalupson, Nikos Kouremenos, Artur de + Sousa Rocha, Yichun Wei, Per Vognsen +``` + +### licenses/LICENSE + +```text +Beautiful Soup is made available under the MIT license: + + Copyright (c) Leonard Richardson + + Permission is hereby granted, free of charge, to any person obtaining + a copy of this software and associated documentation files (the + "Software"), to deal in the Software without restriction, including + without limitation the rights to use, copy, modify, merge, publish, + distribute, sublicense, and/or sell copies of the Software, and to + permit persons to whom the Software is furnished to do so, subject to + the following conditions: + + The above copyright notice and this permission notice shall be + included in all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, + EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND + NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS + BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN + ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN + CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE + SOFTWARE. + +Beautiful Soup incorporates code from the html5lib library, which is +also made available under the MIT license. Copyright (c) James Graham +and other contributors + +Beautiful Soup has an optional dependency on the soupsieve library, +which is also made available under the MIT license. Copyright (c) +Isaac Muse +``` + + +----- + +## bleach 6.3.0 + +Declared license: Apache Software License + +Scope: separately installed ParseBench preparation/scoring dependency. + +### licenses/LICENSE + +```text +Copyright (c) 2014-2017, Mozilla Foundation + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +``` + +### licenses/bleach/_vendor/html5lib-1.1.dist-info/LICENSE + +```text +Copyright (c) 2006-2013 James Graham and other contributors + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## certifi 2026.2.25 + +Declared license: MPL-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Source, https://github.com/certifi/python-certifi + +### licenses/LICENSE + +```text +This package contains a modified version of ca-bundle.crt: + +ca-bundle.crt -- Bundle of CA Root Certificates + +This is a bundle of X.509 certificates of public Certificate Authorities +(CA). These were automatically extracted from Mozilla's root certificates +file (certdata.txt). This file can be found in the mozilla source tree: +https://hg.mozilla.org/mozilla-central/file/tip/security/nss/lib/ckfw/builtins/certdata.txt +It contains the certificates in PEM format and therefore +can be directly used with curl / libcurl / php_curl, or with +an Apache+mod_ssl webserver for SSL client authentication. +Just configure this file as the SSLCACertificateFile.# + +***** BEGIN LICENSE BLOCK ***** +This Source Code Form is subject to the terms of the Mozilla Public License, +v. 2.0. If a copy of the MPL was not distributed with this file, You can obtain +one at http://mozilla.org/MPL/2.0/. + +***** END LICENSE BLOCK ***** +@(#) $RCSfile: certdata.txt,v $ $Revision: 1.80 $ $Date: 2011/11/03 15:11:58 $ +``` + + +----- + +## charset-normalizer 3.5.1 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Changelog, https://github.com/jawah/charset_normalizer/blob/master/CHANGELOG.md; Documentation, https://charset-normalizer.readthedocs.io/; Code, https://github.com/jawah/charset_normalizer; Issue tracker, https://github.com/jawah/charset_normalizer/issues + +### licenses/LICENSE + +```text +MIT License + +Copyright (c) 2025 TAHRI Ahmed R. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## chevron 0.14.0 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +### LICENSE + +```text +The MIT License (MIT) + +Copyright (c) 2014 Noah Morrison + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## click 8.3.1 + +Declared license: BSD-3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Changes, https://click.palletsprojects.com/page/changes/; Chat, https://discord.gg/pallets; Documentation, https://click.palletsprojects.com/; Donate, https://palletsprojects.com/donate; Source, https://github.com/pallets/click/ + +### licenses/LICENSE.txt + +```text +Copyright 2014 Pallets + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A +PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED +TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## distro 1.9.0 + +Declared license: Apache License, Version 2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +### LICENSE + +```text +Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## fire 0.7.1 + +Declared license: Apache-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/google/python-fire; Repository, https://github.com/google/python-fire + +### licenses/LICENSE + +```text +Copyright 2017 Google Inc. All rights reserved. + +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. +``` + + +----- + +## frozenlist 1.8.0 + +Declared license: Apache-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Chat: Matrix, https://matrix.to/#/#aio-libs:matrix.org; Chat: Matrix Space, https://matrix.to/#/#aio-libs-space:matrix.org; CI: Github Actions, https://github.com/aio-libs/frozenlist/actions; Code of Conduct, https://github.com/aio-libs/.github/blob/master/CODE_OF_CONDUCT.md; Coverage: codecov, https://codecov.io/github/aio-libs/frozenlist; Docs: Changelog, https://github.com/aio-libs/frozenlist/blob/master/CHANGES.rst#changelog; Docs: RTD, https://frozenlist.aio-libs.org; GitHub: issues, https://github.com/aio-libs/frozenlist/issues; GitHub: repo, https://github.com/aio-libs/frozenlist + +### licenses/LICENSE + +```text +Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. 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Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "{}" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright 2013-2019 Nikolay Kim and Andrew Svetlov + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` + + +----- + +## fsspec 2026.2.0 + +Declared license: BSD-3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Changelog, https://filesystem-spec.readthedocs.io/en/latest/changelog.html; Documentation, https://filesystem-spec.readthedocs.io/en/latest/; Homepage, https://github.com/fsspec/filesystem_spec + +### licenses/LICENSE + +```text +BSD 3-Clause License + +Copyright (c) 2018, Martin Durant +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +* Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## fuzzysearch 0.8.1 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +### AUTHORS.rst + +```text +======= +Credits +======= + +Development Lead +---------------- + +* Tal Einat + +Contributors +------------ + +None yet. Why not be the first? +``` + +### LICENSE + +```text +The MIT License (MIT) + +Copyright (c) 2013-2024 taleinat + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## h11 0.16.0 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +### licenses/LICENSE.txt + +```text +The MIT License (MIT) + +Copyright (c) 2016 Nathaniel J. Smith and other contributors + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## hf-xet 1.4.2 + +Declared license: Apache-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://huggingface.co/docs/hub/xet/index; Homepage, https://github.com/huggingface/xet-core; Issues, https://github.com/huggingface/xet-core/issues; Repository, https://github.com/huggingface/xet-core.git + +### licenses/LICENSE + +```text + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. You may reproduce and distribute copies of the + Work or Derivative Works thereof in any medium, with or without + modifications, and in Source or Object form, provided that You + meet the following conditions: + + (a) You must give any other recipients of the Work or + Derivative Works a copy of this License; and + + (b) You must cause any modified files to carry prominent notices + stating that You changed the files; and + + (c) You must retain, in the Source form of any Derivative Works + that You distribute, all copyright, patent, trademark, and + attribution notices from the Source form of the Work, + excluding those notices that do not pertain to any part of + the Derivative Works; and + + (d) If the Work includes a "NOTICE" text file as part of its + distribution, then any Derivative Works that You distribute must + include a readable copy of the attribution notices contained + within such NOTICE file, excluding those notices that do not + pertain to any part of the Derivative Works, in at least one + of the following places: within a NOTICE text file distributed + as part of the Derivative Works; within the Source form or + documentation, if provided along with the Derivative Works; or, + within a display generated by the Derivative Works, if and + wherever such third-party notices normally appear. The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. Unless You explicitly state otherwise, + any Contribution intentionally submitted for inclusion in the Work + by You to the Licensor shall be under the terms and conditions of + this License, without any additional terms or conditions. + Notwithstanding the above, nothing herein shall supersede or modify + the terms of any separate license agreement you may have executed + with Licensor regarding such Contributions. + + 6. Trademarks. This License does not grant permission to use the trade + names, trademarks, service marks, or product names of the Licensor, + except as required for reasonable and customary use in describing the + origin of the Work and reproducing the content of the NOTICE file. + + 7. Disclaimer of Warranty. Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "[]" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` + + +----- + +## html5lib 1.1 + +Declared license: MIT License + +Scope: separately installed ParseBench preparation/scoring dependency. + +### AUTHORS.rst + +```text +Credits +======= + +``html5lib`` is written and maintained by: + +- James Graham +- Sam Sneddon +- Łukasz Langa +- Will Kahn-Greene + + +Patches and suggestions +----------------------- +(In chronological order, by first commit:) + +- Anne van Kesteren +- Lachlan Hunt +- lantis63 +- Sam Ruby +- Thomas Broyer +- Tim Fletcher +- Mark Pilgrim +- Ryan King +- Philip Taylor +- Edward Z. Yang +- fantasai +- Philip Jägenstedt +- Ms2ger +- Mohammad Taha Jahangir +- Andy Wingo +- Andreas Madsack +- Karim Valiev +- Juan Carlos Garcia Segovia +- Mike West +- Marc DM +- Simon Sapin +- Michael[tm] Smith +- Ritwik Gupta +- Marc Abramowitz +- Tony Lopes +- lilbludevil +- Kevin +- Drew Hubl +- Austin Kumbera +- Jim Baker +- Jon Dufresne +- Donald Stufft +- Alex Gaynor +- Nik Nyby +- Jakub Wilk +- Sigmund Cherem +- Gabi Davar +- Florian Mounier +- neumond +- Vitalik Verhovodov +- Kovid Goyal +- Adam Chainz +- John Vandenberg +- Eric Amorde +- Benedikt Morbach +- Jonathan Vanasco +- Tom Most +- Ville Skyttä +- Hugo van Kemenade +- Mark Vasilkov +``` + +### LICENSE + +```text +Copyright (c) 2006-2013 James Graham and other contributors + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## httpcore 1.0.9 + +Declared license: BSD-3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://www.encode.io/httpcore; Homepage, https://www.encode.io/httpcore/; Source, https://github.com/encode/httpcore + +### licenses/LICENSE.md + +```text +Copyright © 2020, [Encode OSS Ltd](https://www.encode.io/). +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +* Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## httpx 0.28.1 + +Declared license: BSD-3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Changelog, https://github.com/encode/httpx/blob/master/CHANGELOG.md; Documentation, https://www.python-httpx.org; Homepage, https://github.com/encode/httpx; Source, https://github.com/encode/httpx + +### licenses/LICENSE.md + +```text +Copyright © 2019, [Encode OSS Ltd](https://www.encode.io/). +All rights reserved. + +Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. + +* Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## huggingface_hub 1.7.1 + +Declared license: Apache-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +### licenses/LICENSE + +```text + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. For the purposes + of this License, Derivative Works shall not include works that remain + separable from, or merely link (or bind by name) to the interfaces of, + the Work and Derivative Works thereof. + + "Contribution" shall mean any work of authorship, including + the original version of the Work and any modifications or additions + to that Work or Derivative Works thereof, that is intentionally + submitted to Licensor for inclusion in the Work by the copyright owner + or by an individual or Legal Entity authorized to submit on behalf of + the copyright owner. For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + copyright license to reproduce, prepare Derivative Works of, + publicly display, publicly perform, sublicense, and distribute the + Work and such Derivative Works in Source or Object form. + + 3. Grant of Patent License. Subject to the terms and conditions of + this License, each Contributor hereby grants to You a perpetual, + worldwide, non-exclusive, no-charge, royalty-free, irrevocable + (except as stated in this section) patent license to make, have made, + use, offer to sell, sell, import, and otherwise transfer the Work, + where such license applies only to those patent claims licensable + by such Contributor that are necessarily infringed by their + Contribution(s) alone or by combination of their Contribution(s) + with the Work to which such Contribution(s) was submitted. If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. 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Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED +TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## joblib 1.5.2 + +Declared license: BSD 3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://joblib.readthedocs.io; Source, https://github.com/joblib/joblib + +### licenses/LICENSE.txt + +```text +BSD 3-Clause License + +Copyright (c) 2008-2021, The joblib developers. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +* Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## jsonschema 4.26.0 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/python-jsonschema/jsonschema; Documentation, https://python-jsonschema.readthedocs.io/; Issues, https://github.com/python-jsonschema/jsonschema/issues/; Funding, https://github.com/sponsors/Julian; Tidelift, https://tidelift.com/subscription/pkg/pypi-jsonschema?utm_source=pypi-jsonschema&utm_medium=referral&utm_campaign=pypi-link; Changelog, https://github.com/python-jsonschema/jsonschema/blob/main/CHANGELOG.rst; Source, https://github.com/python-jsonschema/jsonschema + +### licenses/COPYING + +```text +Copyright (c) 2013 Julian Berman + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. +``` + + +----- + +## jsonschema-specifications 2025.9.1 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://jsonschema-specifications.readthedocs.io/; Homepage, https://github.com/python-jsonschema/jsonschema-specifications; Issues, https://github.com/python-jsonschema/jsonschema-specifications/issues/; Funding, https://github.com/sponsors/Julian; Tidelift, https://tidelift.com/subscription/pkg/pypi-jsonschema-specifications?utm_source=pypi-jsonschema-specifications&utm_medium=referral&utm_campaign=pypi-link; Source, https://github.com/python-jsonschema/jsonschema-specifications + +### licenses/COPYING + +```text +Copyright (c) 2022 Julian Berman + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. +``` + + +----- + +## Levenshtein 0.27.3 + +Declared license: GPL-2.0-or-later + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/rapidfuzz/Levenshtein; Documentation, https://rapidfuzz.github.io/Levenshtein/; Repository, https://github.com/rapidfuzz/Levenshtein.git; Issues, https://github.com/rapidfuzz/Levenshtein/issues; Changelog, https://github.com/rapidfuzz/Levenshtein/blob/main/HISTORY.md + +### licenses/LICENSE + +```text +Copyright (C) 2010-2013 Mikko Ohthamaa + 2013-2021 Antti Haapala + 2021-2025 Max Bachmann + +This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License +as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version. + +This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied +warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. + +You should have received a copy of the GNU General Public License along with this program; if not, write to the +Free Software Foundation, 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. + + + GNU GENERAL PUBLIC LICENSE + Version 2, June 1991 + + Copyright (C) 1989, 1991 Free Software Foundation, Inc. + 59 Temple Place, Suite 330, Boston, MA 02111 USA + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The licenses for most software are designed to take away your +freedom to share and change it. By contrast, the GNU General Public +License is intended to guarantee your freedom to share and change free +software--to make sure the software is free for all its users. This +General Public License applies to most of the Free Software +Foundation's software and to any other program whose authors commit to +using it. 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IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING +WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR +REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, +INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING +OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED +TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY +YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER +PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE +POSSIBILITY OF SUCH DAMAGES. + + END OF TERMS AND CONDITIONS +``` + + +----- + +## llama_cloud 1.6.0 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/run-llama/llama-cloud-py; Repository, https://github.com/run-llama/llama-cloud-py + +### licenses/LICENSE + +```text +Copyright 2026 llama-cloud + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## lxml 6.0.2 + +Declared license: BSD-3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Source, https://github.com/lxml/lxml; Bug Tracker, https://bugs.launchpad.net/lxml + +### licenses/LICENSE.txt + +```text +BSD 3-Clause License + +Copyright (c) 2004 Infrae. All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + + 1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + 2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in + the documentation and/or other materials provided with the + distribution. + + 3. Neither the name of Infrae nor the names of its contributors may + be used to endorse or promote products derived from this software + without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL INFRAE OR +CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, +EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, +PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + +### licenses/LICENSES.txt + +```text +lxml is copyright Infrae and distributed under the BSD license (see +doc/licenses/BSD.txt), with the following exceptions: + +Some code, such a selftest.py, selftest2.py and +src/lxml/_elementpath.py are derived from ElementTree and +cElementTree. See doc/licenses/elementtree.txt for the license text. + +lxml.cssselect and lxml.html are copyright Ian Bicking and distributed +under the BSD license (see doc/licenses/BSD.txt). + +test.py, the test-runner script, is GPL and copyright Shuttleworth +Foundation. See doc/licenses/GPL.txt. It is believed the unchanged +inclusion of test.py to run the unit test suite falls under the +"aggregation" clause of the GPL and thus does not affect the license +of the rest of the package. + +The isoschematron implementation uses several XSL and RelaxNG resources: + * The (XML syntax) RelaxNG schema for schematron, copyright International + Organization for Standardization (see + src/lxml/isoschematron/resources/rng/iso-schematron.rng for the license + text) + * The skeleton iso-schematron-xlt1 pure-xslt schematron implementation + xsl stylesheets, copyright Rick Jelliffe and Academia Sinica Computing + Center, Taiwan (see the xsl files here for the license text: + src/lxml/isoschematron/resources/xsl/iso-schematron-xslt1/) + * The xsd/rng schema schematron extraction xsl transformations are unlicensed + and copyright the respective authors as noted (see + src/lxml/isoschematron/resources/xsl/RNG2Schtrn.xsl and + src/lxml/isoschematron/resources/xsl/XSD2Schtrn.xsl) +``` + + +----- + +## Markdown 3.10.2 + +Declared license: BSD-3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://Python-Markdown.github.io/; Documentation, https://Python-Markdown.github.io/; Repository, https://github.com/Python-Markdown/markdown; Issue Tracker, https://github.com/Python-Markdown/markdown/issues; Changelog, https://python-markdown.github.io/changelog/ + +### licenses/LICENSE.md + +```text +BSD 3-Clause License + +Copyright 2007, 2008 The Python Markdown Project (v. 1.7 and later) +Copyright 2004, 2005, 2006 Yuri Takhteyev (v. 0.2-1.6b) +Copyright 2004 Manfred Stienstra (the original version) + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## markdown-it-py 4.0.0 + +Declared license: License :: OSI Approved :: MIT License + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://markdown-it-py.readthedocs.io; Homepage, https://github.com/executablebooks/markdown-it-py + +### licenses/LICENSE + +```text +MIT License + +Copyright (c) 2020 ExecutableBookProject + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + +### licenses/LICENSE.markdown-it + +```text +Copyright (c) 2014 Vitaly Puzrin, Alex Kocharin. + +Permission is hereby granted, free of charge, to any person +obtaining a copy of this software and associated documentation +files (the "Software"), to deal in the Software without +restriction, including without limitation the rights to use, +copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the +Software is furnished to do so, subject to the following +conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR +OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## markdown2 2.5.5 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +### LICENSE.txt + +```text +This implementation of Markdown is licensed under the MIT License: + + The MIT License + + Copyright (c) 2012 Trent Mick + Copyright (c) 2010 ActiveState Software Inc. + + Permission is hereby granted, free of charge, to any person obtaining a + copy of this software and associated documentation files (the + "Software"), to deal in the Software without restriction, including + without limitation the rights to use, copy, modify, merge, publish, + distribute, sublicense, and/or sell copies of the Software, and to permit + persons to whom the Software is furnished to do so, subject to the + following conditions: + + The above copyright notice and this permission notice shall be included + in all copies or substantial portions of the Software. + + THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS + OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF + MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN + NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, + DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR + OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE + USE OR OTHER DEALINGS IN THE SOFTWARE. + + +All files in a *source package* of markdown2 (i.e. those available on +pypi.python.org and the Google Code project "downloads" page) are under the +MIT license. However, in the *subversion repository* there are some files +(used for performance and testing purposes) that are under different licenses +as follows: + +- perf/recipes.pprint + + Python License. This file includes a number of real-world examples of + Markdown from the ActiveState Python Cookbook, used for doing some + performance testing of markdown2.py. + +- test/php-markdown-cases/... + test/php-markdown-extra-cases/... + + GPL. These are from the MDTest package announced here: + http://six.pairlist.net/pipermail/markdown-discuss/2007-July/000674.html + +- test/markdown.py + + GPL 2 or BSD. A copy (currently old) of Python-Markdown -- the other + Python Markdown implementation. + +- test/markdown.php + + BSD-style. This is PHP Markdown + (http://michelf.com/projects/php-markdown/). + +- test/Markdown.pl: BSD-style + + A copy of Perl Markdown (http://daringfireball.net/projects/markdown/). +``` + + +----- + +## mdurl 0.1.2 + +Declared license: License :: OSI Approved :: MIT License + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/executablebooks/mdurl + +### LICENSE + +```text +Copyright (c) 2015 Vitaly Puzrin, Alex Kocharin. +Copyright (c) 2021 Taneli Hukkinen + +Permission is hereby granted, free of charge, to any person +obtaining a copy of this software and associated documentation +files (the "Software"), to deal in the Software without +restriction, including without limitation the rights to use, +copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the +Software is furnished to do so, subject to the following +conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES +OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT +HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, +WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR +OTHER DEALINGS IN THE SOFTWARE. + +-------------------------------------------------------------------------------- + +.parse() is based on Joyent's node.js `url` code: + +Copyright Joyent, Inc. and other Node contributors. All rights reserved. +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to +deal in the Software without restriction, including without limitation the +rights to use, copy, modify, merge, publish, distribute, sublicense, and/or +sell copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS +IN THE SOFTWARE. +``` + + +----- + +## multidict 6.9.1 + +Declared license: Apache License 2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Chat: Matrix, https://matrix.to/#/#aio-libs:matrix.org; Chat: Matrix Space, https://matrix.to/#/#aio-libs-space:matrix.org; CI: GitHub, https://github.com/aio-libs/multidict/actions; Code of Conduct, https://github.com/aio-libs/.github/blob/master/CODE_OF_CONDUCT.md; Coverage: codecov, https://codecov.io/github/aio-libs/multidict; Docs: Changelog, https://multidict.aio-libs.org/en/latest/changes/; Docs: RTD, https://multidict.aio-libs.org; GitHub: issues, https://github.com/aio-libs/multidict/issues; GitHub: repo, https://github.com/aio-libs/multidict + +### licenses/LICENSE + +```text +Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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If your program is a subroutine library, you +may consider it more useful to permit linking proprietary applications with +the library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. But first, please read +. + +Name: libquadmath +Files: numpy.libs/libquadmath*.so +Description: dynamically linked to files compiled with gcc +Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libquadmath +License: LGPL-2.1-or-later + + GCC Quad-Precision Math Library + Copyright (C) 2010-2019 Free Software Foundation, Inc. + Written by Francois-Xavier Coudert + + This file is part of the libquadmath library. + Libquadmath is free software; you can redistribute it and/or + modify it under the terms of the GNU Library General Public + License as published by the Free Software Foundation; either + version 2.1 of the License, or (at your option) any later version. + + Libquadmath is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU + Lesser General Public License for more details. + https://www.gnu.org/licenses/old-licenses/lgpl-2.1.html +``` + +### licenses/numpy/_core/include/numpy/libdivide/LICENSE.txt + +```text + zlib License + ------------ + + Copyright (C) 2010 - 2019 ridiculous_fish, + Copyright (C) 2016 - 2019 Kim Walisch, + + This software is provided 'as-is', without any express or implied + warranty. In no event will the authors be held liable for any damages + arising from the use of this software. + + Permission is granted to anyone to use this software for any purpose, + including commercial applications, and to alter it and redistribute it + freely, subject to the following restrictions: + + 1. The origin of this software must not be misrepresented; you must not + claim that you wrote the original software. If you use this software + in a product, an acknowledgment in the product documentation would be + appreciated but is not required. + 2. Altered source versions must be plainly marked as such, and must not be + misrepresented as being the original software. + 3. This notice may not be removed or altered from any source distribution. +``` + +### licenses/numpy/_core/src/common/pythoncapi-compat/COPYING + +```text +BSD Zero Clause License + +Copyright Contributors to the pythoncapi_compat project. + +Permission to use, copy, modify, and/or distribute this software for any +purpose with or without fee is hereby granted. + +THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH +REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY +AND FITNESS. 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Affirmer understands and acknowledges that Creative Commons is not a + party to this document and has no duty or obligation with respect to + this CC0 or use of the Work. +``` + +### licenses/numpy/_core/src/multiarray/dragon4_LICENSE.txt + +```text +Copyright (c) 2014 Ryan Juckett + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to +deal in the Software without restriction, including without limitation the +rights to use, copy, modify, merge, publish, distribute, sublicense, and/or +sell copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS +IN THE SOFTWARE. + +dragon4.c|h h contains a modified version of Ryan Juckett's Dragon4 +implementation, obtained from https://www.ryanjuckett.com, +which has been ported from C++ to C and which has +modifications specific to printing floats in numpy. + +Ryan Juckett's original code was under the Zlib license; he gave numpy +permission to include it under the MIT license instead. +``` + +### licenses/numpy/_core/src/npysort/x86-simd-sort/LICENSE.md + +```text +BSD 3-Clause License + +Copyright (c) 2022, Intel. All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + +### licenses/numpy/_core/src/umath/svml/LICENSE + +```text +Copyright (c) 2005-2021, NumPy Developers. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + + * Neither the name of the NumPy Developers nor the names of any + contributors may be used to endorse or promote products derived + from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + +### licenses/numpy/fft/pocketfft/LICENSE.md + +```text +Copyright (C) 2010-2018 Max-Planck-Society +All rights reserved. + +Redistribution and use in source and binary forms, with or without modification, +are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. +* Redistributions in binary form must reproduce the above copyright notice, this + list of conditions and the following disclaimer in the documentation and/or + other materials provided with the distribution. +* Neither the name of the copyright holder nor the names of its contributors may + be used to endorse or promote products derived from this software without + specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR +ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON +ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + +### licenses/numpy/linalg/lapack_lite/LICENSE.txt + +```text +Copyright (c) 1992-2013 The University of Tennessee and The University + of Tennessee Research Foundation. All rights + reserved. +Copyright (c) 2000-2013 The University of California Berkeley. All + rights reserved. +Copyright (c) 2006-2013 The University of Colorado Denver. All rights + reserved. + +$COPYRIGHT$ + +Additional copyrights may follow + +$HEADER$ + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +- Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +- Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer listed + in this license in the documentation and/or other materials + provided with the distribution. + +- Neither the name of the copyright holders nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +The copyright holders provide no reassurances that the source code +provided does not infringe any patent, copyright, or any other +intellectual property rights of third parties. The copyright holders +disclaim any liability to any recipient for claims brought against +recipient by any third party for infringement of that parties +intellectual property rights. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + +### licenses/numpy/ma/LICENSE + +```text +* Copyright (c) 2006, University of Georgia and Pierre G.F. Gerard-Marchant +* All rights reserved. +* Redistribution and use in source and binary forms, with or without +* modification, are permitted provided that the following conditions are met: +* +* * Redistributions of source code must retain the above copyright +* notice, this list of conditions and the following disclaimer. +* * Redistributions in binary form must reproduce the above copyright +* notice, this list of conditions and the following disclaimer in the +* documentation and/or other materials provided with the distribution. +* * Neither the name of the University of Georgia nor the +* names of its contributors may be used to endorse or promote products +* derived from this software without specific prior written permission. +* +* THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND ANY +* EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +* WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +* DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY +* DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +* (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +* LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND +* ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +* SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + +### licenses/numpy/random/LICENSE.md + +```text +**This software is dual-licensed under the The University of Illinois/NCSA +Open Source License (NCSA) and The 3-Clause BSD License** + +# NCSA Open Source License +**Copyright (c) 2019 Kevin Sheppard. All rights reserved.** + +Developed by: Kevin Sheppard (, +) +[http://www.kevinsheppard.com](http://www.kevinsheppard.com) + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal with +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies +of the Software, and to permit persons to whom the Software is furnished to do +so, subject to the following conditions: + +Redistributions of source code must retain the above copyright notice, this +list of conditions and the following disclaimers. + +Redistributions in binary form must reproduce the above copyright notice, this +list of conditions and the following disclaimers in the documentation and/or +other materials provided with the distribution. + +Neither the names of Kevin Sheppard, nor the names of any contributors may be +used to endorse or promote products derived from this Software without specific +prior written permission. + +**THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +CONTRIBUTORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS WITH +THE SOFTWARE.** + + +# 3-Clause BSD License +**Copyright (c) 2019 Kevin Sheppard. All rights reserved.** + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its contributors + may be used to endorse or promote products derived from this software + without specific prior written permission. + +**THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE +ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE +LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR +CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF +SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS +INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN +CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) +ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF +THE POSSIBILITY OF SUCH DAMAGE.** + +# Components + +Many parts of this module have been derived from original sources, +often the algorithm's designer. Component licenses are located with +the component code. +``` + +### licenses/numpy/random/src/distributions/LICENSE.md + +```text +## NumPy + +Copyright (c) 2005-2017, NumPy Developers. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +* Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + +* Neither the name of the NumPy Developers nor the names of any + contributors may be used to endorse or promote products derived + from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + +## Julia + +The ziggurat methods were derived from Julia. + +Copyright (c) 2009-2019: Jeff Bezanson, Stefan Karpinski, Viral B. Shah, +and other contributors: + +https://github.com/JuliaLang/julia/contributors + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + +### licenses/numpy/random/src/mt19937/LICENSE.md + +```text +# MT19937 + +Copyright (c) 2003-2005, Jean-Sebastien Roy (js@jeannot.org) + +The rk_random and rk_seed functions algorithms and the original design of +the Mersenne Twister RNG: + + Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura, + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions + are met: + + 1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + 2. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + + 3. The names of its contributors may not be used to endorse or promote + products derived from this software without specific prior written + permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER +OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, +EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, +PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +Original algorithm for the implementation of rk_interval function from +Richard J. Wagner's implementation of the Mersenne Twister RNG, optimised by +Magnus Jonsson. + +Constants used in the rk_double implementation by Isaku Wada. + +Permission is hereby granted, free of charge, to any person obtaining a +copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be included +in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. +IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY +CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, +TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE +SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + +### licenses/numpy/random/src/pcg64/LICENSE.md + +```text +# PCG64 + +## The MIT License + +PCG Random Number Generation for C. + +Copyright 2014 Melissa O'Neill + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the "Software"), +to deal in the Software without restriction, including without limitation +the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + +### licenses/numpy/random/src/philox/LICENSE.md + +```text +# PHILOX + +Copyright 2010-2012, D. E. Shaw Research. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +* Redistributions of source code must retain the above copyright + notice, this list of conditions, and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright + notice, this list of conditions, and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +* Neither the name of D. E. Shaw Research nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + +### licenses/numpy/random/src/sfc64/LICENSE.md + +```text +# SFC64 + +## The MIT License + +Adapted from a C++ implementation of Chris Doty-Humphrey's SFC PRNG. + +https://gist.github.com/imneme/f1f7821f07cf76504a97f6537c818083 + +Copyright (c) 2018 Melissa E. O'Neill + +Permission is hereby granted, free of charge, to any person obtaining a +copy of this software and associated documentation files (the "Software"), +to deal in the Software without restriction, including without limitation +the rights to use, copy, modify, merge, publish, distribute, sublicense, +and/or sell copies of the Software, and to permit persons to whom the +Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING +FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER +DEALINGS IN THE SOFTWARE. +``` + +### licenses/numpy/random/src/splitmix64/LICENSE.md + +```text +# SPLITMIX64 + +Written in 2015 by Sebastiano Vigna (vigna@acm.org) + +To the extent possible under law, the author has dedicated all copyright +and related and neighboring rights to this software to the public domain +worldwide. This software is distributed without any warranty. + +See . +``` + + +----- + +## packaging 26.0 + +Declared license: Apache-2.0 OR BSD-2-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://packaging.pypa.io/; Source, https://github.com/pypa/packaging + +### licenses/LICENSE + +```text +This software is made available under the terms of *either* of the licenses +found in LICENSE.APACHE or LICENSE.BSD. Contributions to this software is made +under the terms of *both* these licenses. +``` + +### licenses/LICENSE.APACHE + +```text + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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Wilcox +Ada Worcester +Alex Dowad +Alex Suykov +Alexander Monakov +Andre McCurdy +Andrew Kelley +Anthony G. Basile +Aric Belsito +Arvid Picciani +Bartosz Brachaczek +Benjamin Peterson +Bobby Bingham +Boris Brezillon +Brent Cook +Chris Spiegel +Clément Vasseur +Daniel Micay +Daniel Sabogal +Daurnimator +David Carlier +David Edelsohn +Denys Vlasenko +Dmitry Ivanov +Dmitry V. Levin +Drew DeVault +Emil Renner Berthing +Fangrui Song +Felix Fietkau +Felix Janda +Gianluca Anzolin +Hauke Mehrtens +He X +Hiltjo Posthuma +Isaac Dunham +Jaydeep Patil +Jens Gustedt +Jeremy Huntwork +Jo-Philipp Wich +Joakim Sindholt +John Spencer +Julien Ramseier +Justin Cormack +Kaarle Ritvanen +Khem Raj +Kylie McClain +Leah Neukirchen +Luca Barbato +Luka Perkov +M Farkas-Dyck (Strake) +Mahesh Bodapati +Markus Wichmann +Masanori Ogino +Michael Clark +Michael Forney +Mikhail Kremnyov +Natanael Copa +Nicholas J. Kain +orc +Pascal Cuoq +Patrick Oppenlander +Petr Hosek +Petr Skocik +Pierre Carrier +Reini Urban +Rich Felker +Richard Pennington +Ryan Fairfax +Samuel Holland +Segev Finer +Shiz +sin +Solar Designer +Stefan Kristiansson +Stefan O'Rear +Szabolcs Nagy +Timo Teräs +Trutz Behn +Valentin Ochs +Will Dietz +William Haddon +William Pitcock + +Portions of this software are derived from third-party works licensed +under terms compatible with the above MIT license: + +The TRE regular expression implementation (src/regex/reg* and +src/regex/tre*) is Copyright © 2001-2008 Ville Laurikari and licensed +under a 2-clause BSD license (license text in the source files). The +included version has been heavily modified by Rich Felker in 2012, in +the interests of size, simplicity, and namespace cleanliness. + +Much of the math library code (src/math/* and src/complex/*) is +Copyright © 1993,2004 Sun Microsystems or +Copyright © 2003-2011 David Schultz or +Copyright © 2003-2009 Steven G. 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HISTORY OF THE SOFTWARE +========================== + +Python was created in the early 1990s by Guido van Rossum at Stichting +Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands +as a successor of a language called ABC. Guido remains Python's +principal author, although it includes many contributions from others. + +In 1995, Guido continued his work on Python at the Corporation for +National Research Initiatives (CNRI, see https://www.cnri.reston.va.us) +in Reston, Virginia where he released several versions of the +software. + +In May 2000, Guido and the Python core development team moved to +BeOpen.com to form the BeOpen PythonLabs team. In October of the same +year, the PythonLabs team moved to Digital Creations, which became +Zope Corporation. In 2001, the Python Software Foundation (PSF, see +https://www.python.org/psf/) was formed, a non-profit organization +created specifically to own Python-related Intellectual Property. +Zope Corporation was a sponsoring member of the PSF. + +All Python releases are Open Source (see https://opensource.org for +the Open Source Definition). Historically, most, but not all, Python +releases have also been GPL-compatible; the table below summarizes +the various releases. + + Release Derived Year Owner GPL- + from compatible? (1) + + 0.9.0 thru 1.2 1991-1995 CWI yes + 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes + 1.6 1.5.2 2000 CNRI no + 2.0 1.6 2000 BeOpen.com no + 1.6.1 1.6 2001 CNRI yes (2) + 2.1 2.0+1.6.1 2001 PSF no + 2.0.1 2.0+1.6.1 2001 PSF yes + 2.1.1 2.1+2.0.1 2001 PSF yes + 2.1.2 2.1.1 2002 PSF yes + 2.1.3 2.1.2 2002 PSF yes + 2.2 and above 2.1.1 2001-now PSF yes + +Footnotes: + +(1) GPL-compatible doesn't mean that we're distributing Python under + the GPL. All Python licenses, unlike the GPL, let you distribute + a modified version without making your changes open source. The + GPL-compatible licenses make it possible to combine Python with + other software that is released under the GPL; the others don't. + +(2) According to Richard Stallman, 1.6.1 is not GPL-compatible, + because its license has a choice of law clause. According to + CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1 + is "not incompatible" with the GPL. + +Thanks to the many outside volunteers who have worked under Guido's +direction to make these releases possible. + + +B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON +=============================================================== + +Python software and documentation are licensed under the +Python Software Foundation License Version 2. + +Starting with Python 3.8.6, examples, recipes, and other code in +the documentation are dual licensed under the PSF License Version 2 +and the Zero-Clause BSD license. + +Some software incorporated into Python is under different licenses. +The licenses are listed with code falling under that license. + + +PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 +-------------------------------------------- + +1. This LICENSE AGREEMENT is between the Python Software Foundation +("PSF"), and the Individual or Organization ("Licensee") accessing and +otherwise using this software ("Python") in source or binary form and +its associated documentation. + +2. 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IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE.Developed by ESN, an Electronic Arts Inc. studio. +Copyright (c) 2014, Electronic Arts Inc. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: +* Redistributions of source code must retain the above copyright +notice, this list of conditions and the following disclaimer. +* Redistributions in binary form must reproduce the above copyright +notice, this list of conditions and the following disclaimer in the +documentation and/or other materials provided with the distribution. +* Neither the name of ESN, Electronic Arts Inc. nor the +names of its contributors may be used to endorse or promote products +derived from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND +ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. 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BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES +(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND +ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +---- + +Portions of code from MODP_ASCII - Ascii transformations (upper/lower, etc) +https://github.com/client9/stringencoders + + Copyright 2005, 2006, 2007 + Nick Galbreath -- nickg [at] modp [dot] com + All rights reserved. + + Redistribution and use in source and binary forms, with or without + modification, are permitted provided that the following conditions are + met: + + Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + + Neither the name of the modp.com nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + + THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS + "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT + LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR + A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT + OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, + SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT + LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, + DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY + THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT + (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE + OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + This is the standard "new" BSD license: + http://www.opensource.org/licenses/bsd-license.php + +https://github.com/client9/stringencoders/blob/cfd5c1507325ae497ea9bacdacba12c0ffd79d30/COPYING + +---- + +Numeric decoder derived from from TCL library +https://opensource.apple.com/source/tcl/tcl-14/tcl/license.terms + * Copyright (c) 1988-1993 The Regents of the University of California. + * Copyright (c) 1994 Sun Microsystems, Inc. + + This software is copyrighted by the Regents of the University of + California, Sun Microsystems, Inc., Scriptics Corporation, ActiveState + Corporation and other parties. The following terms apply to all files + associated with the software unless explicitly disclaimed in + individual files. + + The authors hereby grant permission to use, copy, modify, distribute, + and license this software and its documentation for any purpose, provided + that existing copyright notices are retained in all copies and that this + notice is included verbatim in any distributions. No written agreement, + license, or royalty fee is required for any of the authorized uses. + Modifications to this software may be copyrighted by their authors + and need not follow the licensing terms described here, provided that + the new terms are clearly indicated on the first page of each file where + they apply. + + IN NO EVENT SHALL THE AUTHORS OR DISTRIBUTORS BE LIABLE TO ANY PARTY + FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES + ARISING OUT OF THE USE OF THIS SOFTWARE, ITS DOCUMENTATION, OR ANY + DERIVATIVES THEREOF, EVEN IF THE AUTHORS HAVE BEEN ADVISED OF THE + POSSIBILITY OF SUCH DAMAGE. + + THE AUTHORS AND DISTRIBUTORS SPECIFICALLY DISCLAIM ANY WARRANTIES, + INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY, + FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. 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Notwithstanding the foregoing, the + authors grant the U.S. Government and others acting in its behalf + permission to use and distribute the software in accordance with the + terms specified in this license. +``` + + +----- + +## parse-bench 1.0.4 + +Declared license: Apache-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://parsebench.ai; Repository, https://github.com/run-llama/ParseBench; Issues, https://github.com/run-llama/ParseBench/issues; Dataset, https://huggingface.co/datasets/llamaindex/ParseBench; Paper, https://arxiv.org/abs/2604.08538; Changelog, https://github.com/run-llama/ParseBench/blob/main/CHANGELOG.md + +### licenses/LICENSE + +```text + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## pillow 11.1.0 + +Declared license: MIT-CMU + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Changelog, https://github.com/python-pillow/Pillow/releases; Documentation, https://pillow.readthedocs.io; Funding, https://tidelift.com/subscription/pkg/pypi-pillow?utm_source=pypi-pillow&utm_medium=pypi; Homepage, https://python-pillow.github.io; Mastodon, https://fosstodon.org/@pillow; Release notes, https://pillow.readthedocs.io/en/stable/releasenotes/index.html; Source, https://github.com/python-pillow/Pillow + +### LICENSE + +```text +The Python Imaging Library (PIL) is + + Copyright © 1997-2011 by Secret Labs AB + Copyright © 1995-2011 by Fredrik Lundh and contributors + +Pillow is the friendly PIL fork. It is + + Copyright © 2010 by Jeffrey A. Clark and contributors + +Like PIL, Pillow is licensed under the open source MIT-CMU License: + +By obtaining, using, and/or copying this software and/or its associated +documentation, you agree that you have read, understood, and will comply +with the following terms and conditions: + +Permission to use, copy, modify and distribute this software and its +documentation for any purpose and without fee is hereby granted, +provided that the above copyright notice appears in all copies, and that +both that copyright notice and this permission notice appear in supporting +documentation, and that the name of Secret Labs AB or the author not be +used in advertising or publicity pertaining to distribution of the software +without specific, written prior permission. + +SECRET LABS AB AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS +SOFTWARE, INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. +IN NO EVENT SHALL SECRET LABS AB OR THE AUTHOR BE LIABLE FOR ANY SPECIAL, +INDIRECT OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM +LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE +OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR +PERFORMANCE OF THIS SOFTWARE. + + +---- + +BROTLI + +Copyright (c) 2009, 2010, 2013-2016 by the Brotli Authors. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. + + +---- + +BZIP2 + + +-------------------------------------------------------------------------- + +This program, "bzip2", the associated library "libbzip2", and all +documentation, are copyright (C) 1996-2019 Julian R Seward. All +rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions +are met: + +1. Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +2. The origin of this software must not be misrepresented; you must + not claim that you wrote the original software. If you use this + software in a product, an acknowledgment in the product + documentation would be appreciated but is not required. + +3. Altered source versions must be plainly marked as such, and must + not be misrepresented as being the original software. + +4. The name of the author may not be used to endorse or promote + products derived from this software without specific prior written + permission. + +THIS SOFTWARE IS PROVIDED BY THE AUTHOR ``AS IS'' AND ANY EXPRESS +OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED +WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE +ARE DISCLAIMED. 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In order to make this project +usable to a vast majority of developers, we distribute it under two +mutually exclusive open-source licenses. + +This means that *you* must choose *one* of the two licenses described +below, then obey all its terms and conditions when using FreeType 2 in +any of your projects or products. + + - The FreeType License, found in the file `docs/FTL.TXT`, which is + similar to the original BSD license *with* an advertising clause + that forces you to explicitly cite the FreeType project in your + product's documentation. All details are in the license file. + This license is suited to products which don't use the GNU General + Public License. + + Note that this license is compatible to the GNU General Public + License version 3, but not version 2. + + - The GNU General Public License version 2, found in + `docs/GPLv2.TXT` (any later version can be used also), for + programs which already use the GPL. 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(`credits') + + We specifically permit and encourage the inclusion of this + software, with or without modifications, in commercial products. + We disclaim all warranties covering The FreeType Project and + assume no liability related to The FreeType Project. + + + Finally, many people asked us for a preferred form for a + credit/disclaimer to use in compliance with this license. We thus + encourage you to use the following text: + + """ + Portions of this software are copyright © The FreeType + Project (www.freetype.org). All rights reserved. + """ + + Please replace with the value from the FreeType version you + actually use. + + +Legal Terms +=========== + +0. Definitions +-------------- + + Throughout this license, the terms `package', `FreeType Project', + and `FreeType archive' refer to the set of files originally + distributed by the authors (David Turner, Robert Wilhelm, and + Werner Lemberg) as the `FreeType Project', be they named as alpha, + beta or final release. + + `You' refers to the licensee, or person using the project, where + `using' is a generic term including compiling the project's source + code as well as linking it to form a `program' or `executable'. + This program is referred to as `a program using the FreeType + engine'. + + This license applies to all files distributed in the original + FreeType Project, including all source code, binaries and + documentation, unless otherwise stated in the file in its + original, unmodified form as distributed in the original archive. + If you are unsure whether or not a particular file is covered by + this license, you must contact us to verify this. + + The FreeType Project is copyright (C) 1996-2000 by David Turner, + Robert Wilhelm, and Werner Lemberg. 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See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program; if not, write to the Free Software + Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA + + +Also add information on how to contact you by electronic and paper mail. + +If the program is interactive, make it output a short notice like this +when it starts in an interactive mode: + + Gnomovision version 69, Copyright (C) year name of author + Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, the commands you use may +be called something other than `show w' and `show c'; they could even be +mouse-clicks or menu items--whatever suits your program. + +You should also get your employer (if you work as a programmer) or your +school, if any, to sign a "copyright disclaimer" for the program, if +necessary. Here is a sample; alter the names: + + Yoyodyne, Inc., hereby disclaims all copyright interest in the program + `Gnomovision' (which makes passes at compilers) written by James Hacker. + + , 1 April 1989 + Ty Coon, President of Vice + +This General Public License does not permit incorporating your program into +proprietary programs. If your program is a subroutine library, you may +consider it more useful to permit linking proprietary applications with the +library. If this is what you want to do, use the GNU Library General +Public License instead of this License. + +-------------------------------------------------------------------------- + +The following license details are part of `src/bdf/README`: + +``` +License +******* + +Copyright (C) 2001-2002 by Francesco Zappa Nardelli + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. +IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY +CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, +TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE +SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +*** Portions of the driver (that is, bdflib.c and bdf.h): + +Copyright 2000 Computing Research Labs, New Mexico State University +Copyright 2001-2002, 2011 Francesco Zappa Nardelli + +Permission is hereby granted, free of charge, to any person obtaining a +copy of this software and associated documentation files (the "Software"), +to deal in the Software without restriction, including without limitation +the rights to use, copy, modify, merge, publish, distribute, sublicense, +and/or sell copies of the Software, and to permit persons to whom the +Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL +THE COMPUTING RESEARCH LAB OR NEW MEXICO STATE UNIVERSITY BE LIABLE FOR ANY +CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT +OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR +THE USE OR OTHER DEALINGS IN THE SOFTWARE. + + +Credits +******* + +This driver is based on excellent Mark Leisher's bdf library. If you +find something good in this driver you should probably thank him, not +me. +``` + +The following license details are part of `src/pcf/README`: + +``` +License +******* + +Copyright (C) 2000 by Francesco Zappa Nardelli + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. +IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY +CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, +TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE +SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + + +Credits +******* + +Keith Packard wrote the pcf driver found in XFree86. His work is at +the same time the specification and the sample implementation of the +PCF format. Undoubtedly, this driver is inspired from his work. +``` + + +---- + +HARFBUZZ + +HarfBuzz is licensed under the so-called "Old MIT" license. Details follow. +For parts of HarfBuzz that are licensed under different licenses see individual +files names COPYING in subdirectories where applicable. + +Copyright © 2010-2022 Google, Inc. +Copyright © 2015-2020 Ebrahim Byagowi +Copyright © 2019,2020 Facebook, Inc. +Copyright © 2012,2015 Mozilla Foundation +Copyright © 2011 Codethink Limited +Copyright © 2008,2010 Nokia Corporation and/or its subsidiary(-ies) +Copyright © 2009 Keith Stribley +Copyright © 2011 Martin Hosken and SIL International +Copyright © 2007 Chris Wilson +Copyright © 2005,2006,2020,2021,2022,2023 Behdad Esfahbod +Copyright © 2004,2007,2008,2009,2010,2013,2021,2022,2023 Red Hat, Inc. +Copyright © 1998-2005 David Turner and Werner Lemberg +Copyright © 2016 Igalia S.L. +Copyright © 2022 Matthias Clasen +Copyright © 2018,2021 Khaled Hosny +Copyright © 2018,2019,2020 Adobe, Inc +Copyright © 2013-2015 Alexei Podtelezhnikov + +For full copyright notices consult the individual files in the package. + + +Permission is hereby granted, without written agreement and without +license or royalty fees, to use, copy, modify, and distribute this +software and its documentation for any purpose, provided that the +above copyright notice and the following two paragraphs appear in +all copies of this software. + +IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE TO ANY PARTY FOR +DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES +ARISING OUT OF THE USE OF THIS SOFTWARE AND ITS DOCUMENTATION, EVEN +IF THE COPYRIGHT HOLDER HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH +DAMAGE. + +THE COPYRIGHT HOLDER SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, +BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND +FITNESS FOR A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS +ON AN "AS IS" BASIS, AND THE COPYRIGHT HOLDER HAS NO OBLIGATION TO +PROVIDE MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. + + +---- + +LCMS2 + +Little CMS +Copyright (c) 1998-2020 Marti Maria Saguer + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + + +---- + +LIBJPEG + +1. We don't promise that this software works. (But if you find any bugs, + please let us know!) +2. You can use this software for whatever you want. You don't have to pay us. +3. You may not pretend that you wrote this software. If you use it in a + program, you must acknowledge somewhere in your documentation that + you've used the IJG code. + +In legalese: + +The authors make NO WARRANTY or representation, either express or implied, +with respect to this software, its quality, accuracy, merchantability, or +fitness for a particular purpose. This software is provided "AS IS", and you, +its user, assume the entire risk as to its quality and accuracy. + +This software is copyright (C) 1991-2020, Thomas G. Lane, Guido Vollbeding. +All Rights Reserved except as specified below. + +Permission is hereby granted to use, copy, modify, and distribute this +software (or portions thereof) for any purpose, without fee, subject to these +conditions: +(1) If any part of the source code for this software is distributed, then this +README file must be included, with this copyright and no-warranty notice +unaltered; and any additions, deletions, or changes to the original files +must be clearly indicated in accompanying documentation. +(2) If only executable code is distributed, then the accompanying +documentation must state that "this software is based in part on the work of +the Independent JPEG Group". +(3) Permission for use of this software is granted only if the user accepts +full responsibility for any undesirable consequences; the authors accept +NO LIABILITY for damages of any kind. + +These conditions apply to any software derived from or based on the IJG code, +not just to the unmodified library. If you use our work, you ought to +acknowledge us. + +Permission is NOT granted for the use of any IJG author's name or company name +in advertising or publicity relating to this software or products derived from +it. This software may be referred to only as "the Independent JPEG Group's +software". + +We specifically permit and encourage the use of this software as the basis of +commercial products, provided that all warranty or liability claims are +assumed by the product vendor. + + +---- + +LIBLZMA + +XZ Utils Licensing +================== + + Different licenses apply to different files in this package. Here + is a rough summary of which licenses apply to which parts of this + package (but check the individual files to be sure!): + + - liblzma is in the public domain. + + - xz, xzdec, and lzmadec command line tools are in the public + domain unless GNU getopt_long had to be compiled and linked + in from the lib directory. The getopt_long code is under + GNU LGPLv2.1+. + + - The scripts to grep, diff, and view compressed files have been + adapted from gzip. These scripts and their documentation are + under GNU GPLv2+. + + - All the documentation in the doc directory and most of the + XZ Utils specific documentation files in other directories + are in the public domain. + + - Translated messages are in the public domain. + + - The build system contains public domain files, and files that + are under GNU GPLv2+ or GNU GPLv3+. None of these files end up + in the binaries being built. + + - Test files and test code in the tests directory, and debugging + utilities in the debug directory are in the public domain. + + - The extra directory may contain public domain files, and files + that are under various free software licenses. + + You can do whatever you want with the files that have been put into + the public domain. If you find public domain legally problematic, + take the previous sentence as a license grant. If you still find + the lack of copyright legally problematic, you have too many + lawyers. + + As usual, this software is provided "as is", without any warranty. + + If you copy significant amounts of public domain code from XZ Utils + into your project, acknowledging this somewhere in your software is + polite (especially if it is proprietary, non-free software), but + naturally it is not legally required. Here is an example of a good + notice to put into "about box" or into documentation: + + This software includes code from XZ Utils . + + The following license texts are included in the following files: + - COPYING.LGPLv2.1: GNU Lesser General Public License version 2.1 + - COPYING.GPLv2: GNU General Public License version 2 + - COPYING.GPLv3: GNU General Public License version 3 + + Note that the toolchain (compiler, linker etc.) may add some code + pieces that are copyrighted. Thus, it is possible that e.g. liblzma + binary wouldn't actually be in the public domain in its entirety + even though it contains no copyrighted code from the XZ Utils source + package. + + If you have questions, don't hesitate to ask the author(s) for more + information. + + +---- + +LIBPNG + +COPYRIGHT NOTICE, DISCLAIMER, and LICENSE +========================================= + +PNG Reference Library License version 2 +--------------------------------------- + + * Copyright (c) 1995-2022 The PNG Reference Library Authors. + * Copyright (c) 2018-2022 Cosmin Truta. + * Copyright (c) 2000-2002, 2004, 2006-2018 Glenn Randers-Pehrson. + * Copyright (c) 1996-1997 Andreas Dilger. + * Copyright (c) 1995-1996 Guy Eric Schalnat, Group 42, Inc. + +The software is supplied "as is", without warranty of any kind, +express or implied, including, without limitation, the warranties +of merchantability, fitness for a particular purpose, title, and +non-infringement. In no event shall the Copyright owners, or +anyone distributing the software, be liable for any damages or +other liability, whether in contract, tort or otherwise, arising +from, out of, or in connection with the software, or the use or +other dealings in the software, even if advised of the possibility +of such damage. + +Permission is hereby granted to use, copy, modify, and distribute +this software, or portions hereof, for any purpose, without fee, +subject to the following restrictions: + + 1. The origin of this software must not be misrepresented; you + must not claim that you wrote the original software. If you + use this software in a product, an acknowledgment in the product + documentation would be appreciated, but is not required. + + 2. Altered source versions must be plainly marked as such, and must + not be misrepresented as being the original software. + + 3. This Copyright notice may not be removed or altered from any + source or altered source distribution. + + +PNG Reference Library License version 1 (for libpng 0.5 through 1.6.35) +----------------------------------------------------------------------- + +libpng versions 1.0.7, July 1, 2000, through 1.6.35, July 15, 2018 are +Copyright (c) 2000-2002, 2004, 2006-2018 Glenn Randers-Pehrson, are +derived from libpng-1.0.6, and are distributed according to the same +disclaimer and license as libpng-1.0.6 with the following individuals +added to the list of Contributing Authors: + + Simon-Pierre Cadieux + Eric S. Raymond + Mans Rullgard + Cosmin Truta + Gilles Vollant + James Yu + Mandar Sahastrabuddhe + Google Inc. + Vadim Barkov + +and with the following additions to the disclaimer: + + There is no warranty against interference with your enjoyment of + the library or against infringement. There is no warranty that our + efforts or the library will fulfill any of your particular purposes + or needs. This library is provided with all faults, and the entire + risk of satisfactory quality, performance, accuracy, and effort is + with the user. + +Some files in the "contrib" directory and some configure-generated +files that are distributed with libpng have other copyright owners, and +are released under other open source licenses. + +libpng versions 0.97, January 1998, through 1.0.6, March 20, 2000, are +Copyright (c) 1998-2000 Glenn Randers-Pehrson, are derived from +libpng-0.96, and are distributed according to the same disclaimer and +license as libpng-0.96, with the following individuals added to the +list of Contributing Authors: + + Tom Lane + Glenn Randers-Pehrson + Willem van Schaik + +libpng versions 0.89, June 1996, through 0.96, May 1997, are +Copyright (c) 1996-1997 Andreas Dilger, are derived from libpng-0.88, +and are distributed according to the same disclaimer and license as +libpng-0.88, with the following individuals added to the list of +Contributing Authors: + + John Bowler + Kevin Bracey + Sam Bushell + Magnus Holmgren + Greg Roelofs + Tom Tanner + +Some files in the "scripts" directory have other copyright owners, +but are released under this license. + +libpng versions 0.5, May 1995, through 0.88, January 1996, are +Copyright (c) 1995-1996 Guy Eric Schalnat, Group 42, Inc. + +For the purposes of this copyright and license, "Contributing Authors" +is defined as the following set of individuals: + + Andreas Dilger + Dave Martindale + Guy Eric Schalnat + Paul Schmidt + Tim Wegner + +The PNG Reference Library is supplied "AS IS". The Contributing +Authors and Group 42, Inc. disclaim all warranties, expressed or +implied, including, without limitation, the warranties of +merchantability and of fitness for any purpose. The Contributing +Authors and Group 42, Inc. assume no liability for direct, indirect, +incidental, special, exemplary, or consequential damages, which may +result from the use of the PNG Reference Library, even if advised of +the possibility of such damage. + +Permission is hereby granted to use, copy, modify, and distribute this +source code, or portions hereof, for any purpose, without fee, subject +to the following restrictions: + + 1. The origin of this source code must not be misrepresented. + + 2. Altered versions must be plainly marked as such and must not + be misrepresented as being the original source. + + 3. This Copyright notice may not be removed or altered from any + source or altered source distribution. + +The Contributing Authors and Group 42, Inc. specifically permit, +without fee, and encourage the use of this source code as a component +to supporting the PNG file format in commercial products. If you use +this source code in a product, acknowledgment is not required but would +be appreciated. + + +---- + +LIBTIFF + +Copyright (c) 1988-1997 Sam Leffler +Copyright (c) 1991-1997 Silicon Graphics, Inc. + +Permission to use, copy, modify, distribute, and sell this software and +its documentation for any purpose is hereby granted without fee, provided +that (i) the above copyright notices and this permission notice appear in +all copies of the software and related documentation, and (ii) the names of +Sam Leffler and Silicon Graphics may not be used in any advertising or +publicity relating to the software without the specific, prior written +permission of Sam Leffler and Silicon Graphics. + +THE SOFTWARE IS PROVIDED "AS-IS" AND WITHOUT WARRANTY OF ANY KIND, +EXPRESS, IMPLIED OR OTHERWISE, INCLUDING WITHOUT LIMITATION, ANY +WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. + +IN NO EVENT SHALL SAM LEFFLER OR SILICON GRAPHICS BE LIABLE FOR +ANY SPECIAL, INCIDENTAL, INDIRECT OR CONSEQUENTIAL DAMAGES OF ANY KIND, +OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, +WHETHER OR NOT ADVISED OF THE POSSIBILITY OF DAMAGE, AND ON ANY THEORY OF +LIABILITY, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE +OF THIS SOFTWARE. + + +---- + +LIBWEBP + +Copyright (c) 2010, Google Inc. All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in + the documentation and/or other materials provided with the + distribution. + + * Neither the name of Google nor the names of its contributors may + be used to endorse or promote products derived from this software + without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + + +---- + +OPENJPEG + +* + * The copyright in this software is being made available under the 2-clauses + * BSD License, included below. This software may be subject to other third + * party and contributor rights, including patent rights, and no such rights + * are granted under this license. + * + * Copyright (c) 2002-2014, Universite catholique de Louvain (UCL), Belgium + * Copyright (c) 2002-2014, Professor Benoit Macq + * Copyright (c) 2003-2014, Antonin Descampe + * Copyright (c) 2003-2009, Francois-Olivier Devaux + * Copyright (c) 2005, Herve Drolon, FreeImage Team + * Copyright (c) 2002-2003, Yannick Verschueren + * Copyright (c) 2001-2003, David Janssens + * Copyright (c) 2011-2012, Centre National d'Etudes Spatiales (CNES), France + * Copyright (c) 2012, CS Systemes d'Information, France + * + * All rights reserved. + * + * Redistribution and use in source and binary forms, with or without + * modification, are permitted provided that the following conditions + * are met: + * 1. Redistributions of source code must retain the above copyright + * notice, this list of conditions and the following disclaimer. + * 2. Redistributions in binary form must reproduce the above copyright + * notice, this list of conditions and the following disclaimer in the + * documentation and/or other materials provided with the distribution. + * + * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS `AS IS' + * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE + * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE + * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE + * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR + * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF + * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS + * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN + * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) + * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + * POSSIBILITY OF SUCH DAMAGE. + */ + + +---- + +RAQM + +The MIT License (MIT) + +Copyright © 2015 Information Technology Authority (ITA) +Copyright © 2016 Khaled Hosny + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. + + +---- + +XAU + +Copyright 1988, 1993, 1994, 1998 The Open Group + +Permission to use, copy, modify, distribute, and sell this software and its +documentation for any purpose is hereby granted without fee, provided that +the above copyright notice appear in all copies and that both that +copyright notice and this permission notice appear in supporting +documentation. + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +OPEN GROUP BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN +AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +Except as contained in this notice, the name of The Open Group shall not be +used in advertising or otherwise to promote the sale, use or other dealings +in this Software without prior written authorization from The Open Group. + + +---- + +XCB + +Copyright (C) 2001-2006 Bart Massey, Jamey Sharp, and Josh Triplett. +All Rights Reserved. + +Permission is hereby granted, free of charge, to any person +obtaining a copy of this software and associated +documentation files (the "Software"), to deal in the +Software without restriction, including without limitation +the rights to use, copy, modify, merge, publish, distribute, +sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall +be included in all copies or substantial portions of the +Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY +KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE +WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR +PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS +BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR +OTHER DEALINGS IN THE SOFTWARE. + +Except as contained in this notice, the names of the authors +or their institutions shall not be used in advertising or +otherwise to promote the sale, use or other dealings in this +Software without prior written authorization from the +authors. + + +---- + +XDMCP + +Copyright 1989, 1998 The Open Group + +Permission to use, copy, modify, distribute, and sell this software and its +documentation for any purpose is hereby granted without fee, provided that +the above copyright notice appear in all copies and that both that +copyright notice and this permission notice appear in supporting +documentation. + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +OPEN GROUP BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN +AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. + +Except as contained in this notice, the name of The Open Group shall not be +used in advertising or otherwise to promote the sale, use or other dealings +in this Software without prior written authorization from The Open Group. + +Author: Keith Packard, MIT X Consortium + + +---- + +ZLIB + + (C) 1995-2017 Jean-loup Gailly and Mark Adler + + This software is provided 'as-is', without any express or implied + warranty. In no event will the authors be held liable for any damages + arising from the use of this software. + + Permission is granted to anyone to use this software for any purpose, + including commercial applications, and to alter it and redistribute it + freely, subject to the following restrictions: + + 1. The origin of this software must not be misrepresented; you must not + claim that you wrote the original software. If you use this software + in a product, an acknowledgment in the product documentation would be + appreciated but is not required. + 2. Altered source versions must be plainly marked as such, and must not be + misrepresented as being the original software. + 3. This notice may not be removed or altered from any source distribution. + + Jean-loup Gailly Mark Adler + jloup@gzip.org madler@alumni.caltech.edu + +If you use the zlib library in a product, we would appreciate *not* receiving +lengthy legal documents to sign. The sources are provided for free but without +warranty of any kind. The library has been entirely written by Jean-loup +Gailly and Mark Adler; it does not include third-party code. + +If you redistribute modified sources, we would appreciate that you include in +the file ChangeLog history information documenting your changes. Please read +the FAQ for more information on the distribution of modified source versions. +``` + + +----- + +## polyleven 0.11.0 + +Declared license: + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: github, https://github.com/fujimotos/polyleven + +### licenses/LICENSE + +```text +Copyright (c) 2021 Fujimoto Seiji +Copyright (c) 2021 Max Bachmann +Copyright (c) 2022 Nick Mazuk +Copyright (c) 2022 Michael Weiss +Copyright (c) 2024 Alex Morgan +Copyright (c) 2026 Michael Mok +Copyright (c) 2026 electroglyph + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## propcache 0.5.4 + +Declared license: Apache-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Chat: Matrix, https://matrix.to/#/#aio-libs:matrix.org; Chat: Matrix Space, https://matrix.to/#/#aio-libs-space:matrix.org; CI: GitHub Workflows, https://github.com/aio-libs/propcache/actions?query=branch:master; Code of Conduct, https://github.com/aio-libs/.github/blob/master/CODE_OF_CONDUCT.md; Coverage: codecov, https://codecov.io/github/aio-libs/propcache; Docs: Changelog, https://propcache.readthedocs.io/en/latest/changes/; Docs: RTD, https://propcache.readthedocs.io; GitHub: issues, https://github.com/aio-libs/propcache/issues; GitHub: repo, https://github.com/aio-libs/propcache + +### licenses/LICENSE + +```text + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` + +### licenses/NOTICE + +```text + Copyright 2016-2021, Andrew Svetlov and aio-libs team + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` + + +----- + +## pydantic 2.12.5 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/pydantic/pydantic; Documentation, https://docs.pydantic.dev; Funding, https://github.com/sponsors/samuelcolvin; Source, https://github.com/pydantic/pydantic; Changelog, https://docs.pydantic.dev/latest/changelog/ + +### licenses/LICENSE + +```text +The MIT License (MIT) + +Copyright (c) 2017 to present Pydantic Services Inc. and individual contributors. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## pydantic_core 2.41.5 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/pydantic/pydantic-core; Funding, https://github.com/sponsors/samuelcolvin; Source, https://github.com/pydantic/pydantic-core + +### licenses/LICENSE + +```text +The MIT License (MIT) + +Copyright (c) 2022 Samuel Colvin + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## Pygments 2.19.2 + +Declared license: BSD-2-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://pygments.org; Documentation, https://pygments.org/docs; Source, https://github.com/pygments/pygments; Bug Tracker, https://github.com/pygments/pygments/issues; Changelog, https://github.com/pygments/pygments/blob/master/CHANGES + +### licenses/AUTHORS + +```text +Pygments is written and maintained by Georg Brandl . + +Major developers are Tim Hatch and Armin Ronacher +. + +Other contributors, listed alphabetically, are: + +* Sam Aaron -- Ioke lexer +* Jean Abou Samra -- LilyPond lexer +* João Abecasis -- JSLT lexer +* Ali Afshar -- image formatter +* Thomas Aglassinger -- Easytrieve, JCL, Rexx, Transact-SQL and VBScript + lexers +* Maxence Ahlouche -- PostgreSQL Explain lexer +* Muthiah Annamalai -- Ezhil lexer +* Nikolay Antipov -- OpenSCAD lexer +* Kumar Appaiah -- Debian control lexer +* Andreas Amann -- AppleScript lexer +* Timothy Armstrong -- Dart lexer fixes +* Jeffrey Arnold -- R/S, Rd, BUGS, Jags, and Stan lexers +* Eiríkr Åsheim -- Uxntal lexer +* Jeremy Ashkenas -- CoffeeScript lexer +* José Joaquín Atria -- Praat lexer +* Stefan Matthias Aust -- Smalltalk lexer +* Lucas Bajolet -- Nit lexer +* Ben Bangert -- Mako lexers +* Max Battcher -- Darcs patch lexer +* Thomas Baruchel -- APL lexer +* Tim Baumann -- (Literate) Agda lexer +* Paul Baumgart, 280 North, Inc. -- Objective-J lexer +* Michael Bayer -- Myghty lexers +* Thomas Beale -- Archetype lexers +* John Benediktsson -- Factor lexer +* David Benjamin, Google LLC -- TLS lexer +* Trevor Bergeron -- mIRC formatter +* Vincent Bernat -- LessCSS lexer +* Christopher Bertels -- Fancy lexer +* Sébastien Bigaret -- QVT Operational lexer +* Jarrett Billingsley -- MiniD lexer +* Adam Blinkinsop -- Haskell, Redcode lexers +* Stéphane Blondon -- Procfile, SGF and Sieve lexers +* Frits van Bommel -- assembler lexers +* Pierre Bourdon -- bugfixes +* Martijn Braam -- Kernel log lexer, BARE lexer +* JD Browne, Google LLC -- GoogleSQL lexer +* Matthias Bussonnier -- ANSI style handling for terminal-256 formatter +* chebee7i -- Python traceback lexer improvements +* Hiram Chirino -- Scaml and Jade lexers +* Mauricio Caceres -- SAS and Stata lexers. +* Michael Camilleri, John Gabriele, sogaiu -- Janet lexer +* Daren Chandisingh -- Gleam lexer +* Ian Cooper -- VGL lexer +* David Corbett -- Inform, Jasmin, JSGF, Snowball, and TADS 3 lexers +* Leaf Corcoran -- MoonScript lexer +* Fraser Cormack -- TableGen lexer +* Gabriel Corona -- ASN.1 lexer +* Christopher Creutzig -- MuPAD lexer +* Daniël W. Crompton -- Pike lexer +* Pete Curry -- bugfixes +* Bryan Davis -- EBNF lexer +* Bruno Deferrari -- Shen lexer +* Walter Dörwald -- UL4 lexer +* Luke Drummond -- Meson lexer +* Giedrius Dubinskas -- HTML formatter improvements +* Owen Durni -- Haxe lexer +* Alexander Dutton, Oxford University Computing Services -- SPARQL lexer +* James Edwards -- Terraform lexer +* Nick Efford -- Python 3 lexer +* Sven Efftinge -- Xtend lexer +* Artem Egorkine -- terminal256 formatter +* Matthew Fernandez -- CAmkES lexer +* Paweł Fertyk -- GDScript lexer, HTML formatter improvements +* Michael Ficarra -- CPSA lexer +* James H. Fisher -- PostScript lexer +* Amanda Fitch, Google LLC -- GoogleSQL lexer +* William S. Fulton -- SWIG lexer +* Carlos Galdino -- Elixir and Elixir Console lexers +* Michael Galloy -- IDL lexer +* Naveen Garg -- Autohotkey lexer +* Simon Garnotel -- FreeFem++ lexer +* Laurent Gautier -- R/S lexer +* Alex Gaynor -- PyPy log lexer +* Richard Gerkin -- Igor Pro lexer +* Alain Gilbert -- TypeScript lexer +* Alex Gilding -- BlitzBasic lexer +* GitHub, Inc -- DASM16, Augeas, TOML, and Slash lexers +* Bertrand Goetzmann -- Groovy lexer +* Krzysiek Goj -- Scala lexer +* Rostyslav Golda -- FloScript lexer +* Andrey Golovizin -- BibTeX lexers +* Matt Good -- Genshi, Cheetah lexers +* Michał Górny -- vim modeline support +* Alex Gosse -- TrafficScript lexer +* Patrick Gotthardt -- PHP namespaces support +* Hubert Gruniaux -- C and C++ lexer improvements +* Olivier Guibe -- Asymptote lexer +* Phil Hagelberg -- Fennel lexer +* Florian Hahn -- Boogie lexer +* Martin Harriman -- SNOBOL lexer +* Matthew Harrison -- SVG formatter +* Steven Hazel -- Tcl lexer +* Dan Michael Heggø -- Turtle lexer +* Aslak Hellesøy -- Gherkin lexer +* Greg Hendershott -- Racket lexer +* Justin Hendrick -- ParaSail lexer +* Jordi Gutiérrez Hermoso -- Octave lexer +* David Hess, Fish Software, Inc. -- Objective-J lexer +* Ken Hilton -- Typographic Number Theory and Arrow lexers +* Varun Hiremath -- Debian control lexer +* Rob Hoelz -- Perl 6 lexer +* Doug Hogan -- Mscgen lexer +* Ben Hollis -- Mason lexer +* Max Horn -- GAP lexer +* Fred Hornsey -- OMG IDL Lexer +* Alastair Houghton -- Lexer inheritance facility +* Tim Howard -- BlitzMax lexer +* Dustin Howett -- Logos lexer +* Ivan Inozemtsev -- Fantom lexer +* Hiroaki Itoh -- Shell console rewrite, Lexers for PowerShell session, + MSDOS session, BC, WDiff +* Brian R. Jackson -- Tea lexer +* Christian Jann -- ShellSession lexer +* Jonas Camillus Jeppesen -- Line numbers and line highlighting for + RTF-formatter +* Dennis Kaarsemaker -- sources.list lexer +* Dmitri Kabak -- Inferno Limbo lexer +* Igor Kalnitsky -- vhdl lexer +* Colin Kennedy - USD lexer +* Alexander Kit -- MaskJS lexer +* Pekka Klärck -- Robot Framework lexer +* Gerwin Klein -- Isabelle lexer +* Eric Knibbe -- Lasso lexer +* Stepan Koltsov -- Clay lexer +* Oliver Kopp - Friendly grayscale style +* Adam Koprowski -- Opa lexer +* Benjamin Kowarsch -- Modula-2 lexer +* Domen Kožar -- Nix lexer +* Oleh Krekel -- Emacs Lisp lexer +* Alexander Kriegisch -- Kconfig and AspectJ lexers +* Marek Kubica -- Scheme lexer +* Jochen Kupperschmidt -- Markdown processor +* Gerd Kurzbach -- Modelica lexer +* Jon Larimer, Google Inc. -- Smali lexer +* Olov Lassus -- Dart lexer +* Matt Layman -- TAP lexer +* Dan Lazin, Google LLC -- GoogleSQL lexer +* Kristian Lyngstøl -- Varnish lexers +* Sylvestre Ledru -- Scilab lexer +* Chee Sing Lee -- Flatline lexer +* Mark Lee -- Vala lexer +* Thomas Linder Puls -- Visual Prolog lexer +* Pete Lomax -- Phix lexer +* Valentin Lorentz -- C++ lexer improvements +* Ben Mabey -- Gherkin lexer +* Angus MacArthur -- QML lexer +* Louis Mandel -- X10 lexer +* Louis Marchand -- Eiffel lexer +* Simone Margaritelli -- Hybris lexer +* Tim Martin - World of Warcraft TOC lexer +* Kirk McDonald -- D lexer +* Gordon McGregor -- SystemVerilog lexer +* Stephen McKamey -- Duel/JBST lexer +* Brian McKenna -- F# lexer +* Charles McLaughlin -- Puppet lexer +* Kurt McKee -- Tera Term macro lexer, PostgreSQL updates, MySQL overhaul, JSON lexer +* Joe Eli McIlvain -- Savi lexer +* Lukas Meuser -- BBCode formatter, Lua lexer +* Cat Miller -- Pig lexer +* Paul Miller -- LiveScript lexer +* Hong Minhee -- HTTP lexer +* Michael Mior -- Awk lexer +* Bruce Mitchener -- Dylan lexer rewrite +* Reuben Morais -- SourcePawn lexer +* Jon Morton -- Rust lexer +* Paulo Moura -- Logtalk lexer +* Mher Movsisyan -- DTD lexer +* Dejan Muhamedagic -- Crmsh lexer +* Adrien Nayrat -- PostgreSQL Explain lexer +* Ana Nelson -- Ragel, ANTLR, R console lexers +* David Neto, Google LLC -- WebGPU Shading Language lexer +* Kurt Neufeld -- Markdown lexer +* Nam T. Nguyen -- Monokai style +* Jesper Noehr -- HTML formatter "anchorlinenos" +* Mike Nolta -- Julia lexer +* Avery Nortonsmith -- Pointless lexer +* Jonas Obrist -- BBCode lexer +* Edward O'Callaghan -- Cryptol lexer +* David Oliva -- Rebol lexer +* Pat Pannuto -- nesC lexer +* Jon Parise -- Protocol buffers and Thrift lexers +* Benjamin Peterson -- Test suite refactoring +* Ronny Pfannschmidt -- BBCode lexer +* Dominik Picheta -- Nimrod lexer +* Andrew Pinkham -- RTF Formatter Refactoring +* Clément Prévost -- UrbiScript lexer +* Tanner Prynn -- cmdline -x option and loading lexers from files +* Oleh Prypin -- Crystal lexer (based on Ruby lexer) +* Nick Psaris -- K and Q lexers +* Xidorn Quan -- Web IDL lexer +* Elias Rabel -- Fortran fixed form lexer +* raichoo -- Idris lexer +* Daniel Ramirez -- GDScript lexer +* Kashif Rasul -- CUDA lexer +* Nathan Reed -- HLSL lexer +* Justin Reidy -- MXML lexer +* Jonathon Reinhart, Google LLC -- Soong lexer +* Norman Richards -- JSON lexer +* Corey Richardson -- Rust lexer updates +* Fabrizio Riguzzi -- cplint leder +* Lubomir Rintel -- GoodData MAQL and CL lexers +* Andre Roberge -- Tango style +* Georg Rollinger -- HSAIL lexer +* Michiel Roos -- TypoScript lexer +* Konrad Rudolph -- LaTeX formatter enhancements +* Mario Ruggier -- Evoque lexers +* Miikka Salminen -- Lovelace style, Hexdump lexer, lexer enhancements +* Stou Sandalski -- NumPy, FORTRAN, tcsh and XSLT lexers +* Matteo Sasso -- Common Lisp lexer +* Joe Schafer -- Ada lexer +* Max Schillinger -- TiddlyWiki5 lexer +* Andrew Schmidt -- X++ lexer +* Ken Schutte -- Matlab lexers +* René Schwaiger -- Rainbow Dash style +* Sebastian Schweizer -- Whiley lexer +* Tassilo Schweyer -- Io, MOOCode lexers +* Pablo Seminario -- PromQL lexer +* Ted Shaw -- AutoIt lexer +* Joerg Sieker -- ABAP lexer +* Robert Simmons -- Standard ML lexer +* Kirill Simonov -- YAML lexer +* Corbin Simpson -- Monte lexer +* Ville Skyttä -- ASCII armored lexer +* Alexander Smishlajev -- Visual FoxPro lexer +* Steve Spigarelli -- XQuery lexer +* Jerome St-Louis -- eC lexer +* Camil Staps -- Clean and NuSMV lexers; Solarized style +* James Strachan -- Kotlin lexer +* Tom Stuart -- Treetop lexer +* Colin Sullivan -- SuperCollider lexer +* Ben Swift -- Extempore lexer +* tatt61880 -- Kuin lexer +* Edoardo Tenani -- Arduino lexer +* Tiberius Teng -- default style overhaul +* Jeremy Thurgood -- Erlang, Squid config lexers +* Brian Tiffin -- OpenCOBOL lexer +* Bob Tolbert -- Hy lexer +* Doug Torrance -- Macaulay2 lexer +* Matthias Trute -- Forth lexer +* Tuoa Spi T4 -- Bdd lexer +* Erick Tryzelaar -- Felix lexer +* Alexander Udalov -- Kotlin lexer improvements +* Thomas Van Doren -- Chapel lexer +* Dave Van Ee -- Uxntal lexer updates +* Daniele Varrazzo -- PostgreSQL lexers +* Abe Voelker -- OpenEdge ABL lexer +* Pepijn de Vos -- HTML formatter CTags support +* Matthias Vallentin -- Bro lexer +* Benoît Vinot -- AMPL lexer +* Linh Vu Hong -- RSL lexer +* Taavi Väänänen -- Debian control lexer +* Immanuel Washington -- Smithy lexer +* Nathan Weizenbaum -- Haml and Sass lexers +* Nathan Whetsell -- Csound lexers +* Dietmar Winkler -- Modelica lexer +* Nils Winter -- Smalltalk lexer +* Davy Wybiral -- Clojure lexer +* Whitney Young -- ObjectiveC lexer +* Diego Zamboni -- CFengine3 lexer +* Enrique Zamudio -- Ceylon lexer +* Alex Zimin -- Nemerle lexer +* Rob Zimmerman -- Kal lexer +* Evgenii Zheltonozhskii -- Maple lexer +* Vincent Zurczak -- Roboconf lexer +* Hubert Gruniaux -- C and C++ lexer improvements +* Thomas Symalla -- AMDGPU Lexer +* 15b3 -- Image Formatter improvements +* Fabian Neumann -- CDDL lexer +* Thomas Duboucher -- CDDL lexer +* Philipp Imhof -- Pango Markup formatter +* Thomas Voss -- Sed lexer +* Martin Fischer -- WCAG contrast testing +* Marc Auberer -- Spice lexer +* Amr Hesham -- Carbon lexer +* diskdance -- Wikitext lexer +* vanillajonathan -- PRQL lexer +* Nikolay Antipov -- OpenSCAD lexer +* Markus Meyer, Nextron Systems -- YARA lexer +* Hannes Römer -- Mojo lexer +* Jan Frederik Schaefer -- PDDL lexer + +Many thanks for all contributions! +``` + +### licenses/LICENSE + +```text +Copyright (c) 2006-2022 by the respective authors (see AUTHORS file). +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +* Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## pymupdf 1.26.3 + +Declared license: Dual Licensed - GNU AFFERO GPL 3.0 or Artifex Commercial License + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://pymupdf.readthedocs.io/; Source, https://github.com/pymupdf/pymupdf; Tracker, https://github.com/pymupdf/PyMuPDF/issues; Changelog, https://pymupdf.readthedocs.io/en/latest/changes.html + +### COPYING + +```text +Dual Licensed - GNU AFFERO GPL 3.0 or Artifex Commercial License +``` + + +----- + +## pypdf 6.8.0 + +Declared license: BSD-3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Bug Reports, https://github.com/py-pdf/pypdf/issues; Changelog, https://pypdf.readthedocs.io/en/latest/meta/CHANGELOG.html; Documentation, https://pypdf.readthedocs.io/en/latest/; Source, https://github.com/py-pdf/pypdf + +### licenses/LICENSE + +```text +Copyright (c) 2006-2008, Mathieu Fenniak +Some contributions copyright (c) 2007, Ashish Kulkarni +Some contributions copyright (c) 2014, Steve Witham + +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + +* Redistributions of source code must retain the above copyright notice, +this list of conditions and the following disclaimer. +* Redistributions in binary form must reproduce the above copyright notice, +this list of conditions and the following disclaimer in the documentation +and/or other materials provided with the distribution. +* The name of the author may not be used to endorse or promote products +derived from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE +ARE DISCLAIMED. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` + + +----- + +## python-dateutil 2.9.0.post0 + +Declared license: Dual License + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://dateutil.readthedocs.io/en/stable/; Source, https://github.com/dateutil/dateutil + +### LICENSE + +```text +Copyright 2017- Paul Ganssle +Copyright 2017- dateutil contributors (see AUTHORS file) + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. + +The above license applies to all contributions after 2017-12-01, as well as +all contributions that have been re-licensed (see AUTHORS file for the list of +contributors who have re-licensed their code). +-------------------------------------------------------------------------------- +dateutil - Extensions to the standard Python datetime module. + +Copyright (c) 2003-2011 - Gustavo Niemeyer +Copyright (c) 2012-2014 - Tomi Pieviläinen +Copyright (c) 2014-2016 - Yaron de Leeuw +Copyright (c) 2015- - Paul Ganssle +Copyright (c) 2015- - dateutil contributors (see AUTHORS file) + +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + + * Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + * Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR +CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, +EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, +PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. + +The above BSD License Applies to all code, even that also covered by Apache 2.0. +``` + + +----- + +## python-dotenv 1.2.2 + +Declared license: BSD-3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Source, https://github.com/theskumar/python-dotenv + +### licenses/LICENSE + +```text +Copyright (c) 2014, Saurabh Kumar (python-dotenv), 2013, Ted Tieken (django-dotenv-rw), 2013, Jacob Kaplan-Moss (django-dotenv) + +Redistribution and use in source and binary forms, with or without modification, +are permitted provided that the following conditions are met: + +- Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimer. + +- Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +- Neither the name of django-dotenv nor the names of its contributors + may be used to endorse or promote products derived from this software + without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR +CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, +EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, +PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR +PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF +LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING +NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS +SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## python-Levenshtein 0.27.3 + +Declared license: GPL-2.0-or-later + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/rapidfuzz/python-Levenshtein; Documentation, https://rapidfuzz.github.io/Levenshtein/; Repository, https://github.com/rapidfuzz/python-Levenshtein.git; Issues, https://github.com/rapidfuzz/python-Levenshtein/issues; Changelog, https://github.com/rapidfuzz/python-Levenshtein/blob/main/CHANGELOG.rst + +### licenses/LICENSE + +```text + + GNU GENERAL PUBLIC LICENSE + Version 2, June 1991 + + Copyright (C) 1989, 1991 Free Software Foundation, Inc. + 59 Temple Place, Suite 330, Boston, MA 02111 USA + Everyone is permitted to copy and distribute verbatim copies + of this license document, but changing it is not allowed. + + Preamble + + The licenses for most software are designed to take away your +freedom to share and change it. By contrast, the GNU General Public +License is intended to guarantee your freedom to share and change free +software--to make sure the software is free for all its users. This +General Public License applies to most of the Free Software +Foundation's software and to any other program whose authors commit to +using it. (Some other Free Software Foundation software is covered by +the GNU Library General Public License instead.) You can apply it to +your programs, too. + + When we speak of free software, we are referring to freedom, not +price. Our General Public Licenses are designed to make sure that you +have the freedom to distribute copies of free software (and charge for +this service if you wish), that you receive source code or can get it +if you want it, that you can change the software or use pieces of it +in new free programs; and that you know you can do these things. + + To protect your rights, we need to make restrictions that forbid +anyone to deny you these rights or to ask you to surrender the rights. +These restrictions translate to certain responsibilities for you if you +distribute copies of the software, or if you modify it. + + For example, if you distribute copies of such a program, whether +gratis or for a fee, you must give the recipients all the rights that +you have. You must make sure that they, too, receive or can get the +source code. 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To prevent this, we have made it clear that any +patent must be licensed for everyone's free use or not licensed at all. + + The precise terms and conditions for copying, distribution and +modification follow. + + GNU GENERAL PUBLIC LICENSE + TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION + + 0. This License applies to any program or other work which contains +a notice placed by the copyright holder saying it may be distributed +under the terms of this General Public License. The "Program", below, +refers to any such program or work, and a "work based on the Program" +means either the Program or any derivative work under copyright law: +that is to say, a work containing the Program or a portion of it, +either verbatim or with modifications and/or translated into another +language. (Hereinafter, translation is included without limitation in +the term "modification".) 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You may copy and distribute verbatim copies of the Program's +source code as you receive it, in any medium, provided that you +conspicuously and appropriately publish on each copy an appropriate +copyright notice and disclaimer of warranty; keep intact all the +notices that refer to this License and to the absence of any warranty; +and give any other recipients of the Program a copy of this License +along with the Program. + +You may charge a fee for the physical act of transferring a copy, and +you may at your option offer warranty protection in exchange for a fee. + + 2. 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IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING +WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR +REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, +INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING +OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED +TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY +YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER +PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE +POSSIBILITY OF SUCH DAMAGES. + + END OF TERMS AND CONDITIONS + + Appendix: How to Apply These Terms to Your New Programs + + If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + + To do so, attach the following notices to the program. It is safest +to attach them to the start of each source file to most effectively +convey the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) 19yy + + This program is free software; you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation; either version 2 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License + along with this program; if not, write to the Free Software + Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111 USA + +Also add information on how to contact you by electronic and paper mail. + +If the program is interactive, make it output a short notice like this +when it starts in an interactive mode: + + Gnomovision version 69, Copyright (C) 19yy name of author + Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, the commands you use may +be called something other than `show w' and `show c'; they could even be +mouse-clicks or menu items--whatever suits your program. + +You should also get your employer (if you work as a programmer) or your +school, if any, to sign a "copyright disclaimer" for the program, if +necessary. Here is a sample; alter the names: + + Yoyodyne, Inc., hereby disclaims all copyright interest in the program + `Gnomovision' (which makes passes at compilers) written by James Hacker. + + , 1 April 1989 + Ty Coon, President of Vice + +This General Public License does not permit incorporating your program into +proprietary programs. If your program is a subroutine library, you may +consider it more useful to permit linking proprietary applications with the +library. If this is what you want to do, use the GNU Library General +Public License instead of this License. +``` + + +----- + +## PyYAML 6.0.3 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Bug Tracker, https://github.com/yaml/pyyaml/issues; CI, https://github.com/yaml/pyyaml/actions; Documentation, https://pyyaml.org/wiki/PyYAMLDocumentation; Mailing lists, http://lists.sourceforge.net/lists/listinfo/yaml-core; Source Code, https://github.com/yaml/pyyaml + +### licenses/LICENSE + +```text +Copyright (c) 2017-2021 Ingy döt Net +Copyright (c) 2006-2016 Kirill Simonov + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies +of the Software, and to permit persons to whom the Software is furnished to do +so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## RapidFuzz 3.14.3 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/rapidfuzz/RapidFuzz; Documentation, https://rapidfuzz.github.io/RapidFuzz/; Repository, https://github.com/rapidfuzz/RapidFuzz.git; Issues, https://github.com/rapidfuzz/RapidFuzz/issues; Changelog, https://github.com/rapidfuzz/RapidFuzz/blob/main/CHANGELOG.rst + +### licenses/LICENSE + +```text +Copyright © 2020-present Max Bachmann +Copyright © 2011 Adam Cohen + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## referencing 0.37.0 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://referencing.readthedocs.io/; Homepage, https://github.com/python-jsonschema/referencing; Issues, https://github.com/python-jsonschema/referencing/issues/; Funding, https://github.com/sponsors/Julian; Tidelift, https://tidelift.com/subscription/pkg/pypi-referencing?utm_source=pypi-referencing&utm_medium=referral&utm_campaign=pypi-link; Changelog, https://referencing.readthedocs.io/en/stable/changes/; Source, https://github.com/python-jsonschema/referencing + +### licenses/COPYING + +```text +Copyright (c) 2022 Julian Berman + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. +``` + + +----- + +## requests 2.34.2 + +Declared license: Apache-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://requests.readthedocs.io; Source, https://github.com/psf/requests + +### licenses/LICENSE + +```text + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. 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IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## rpds-py 0.30.0 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Documentation, https://rpds.readthedocs.io/; Homepage, https://github.com/crate-py/rpds; Issues, https://github.com/crate-py/rpds/issues/; Funding, https://github.com/sponsors/Julian; Tidelift, https://tidelift.com/subscription/pkg/pypi-rpds-py?utm_source=pypi-rpds-py&utm_medium=referral&utm_campaign=pypi-link; Source, https://github.com/crate-py/rpds; Upstream, https://github.com/orium/rpds + +### licenses/LICENSE + +```text +Copyright (c) 2023 Julian Berman + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. +``` + + +----- + +## scikit-learn 1.7.2 + +Declared license: BSD-3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: homepage, https://scikit-learn.org; source, https://github.com/scikit-learn/scikit-learn; download, https://pypi.org/project/scikit-learn/#files; tracker, https://github.com/scikit-learn/scikit-learn/issues; release notes, https://scikit-learn.org/stable/whats_new + +### licenses/COPYING + +```text +BSD 3-Clause License + +Copyright (c) 2007-2024 The scikit-learn developers. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +* Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +* Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +* Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. 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It applies to a given file (the "Runtime Library") that +bears a notice placed by the copyright holder of the file stating that +the file is governed by GPLv3 along with this Exception. + +When you use GCC to compile a program, GCC may combine portions of +certain GCC header files and runtime libraries with the compiled +program. The purpose of this Exception is to allow compilation of +non-GPL (including proprietary) programs to use, in this way, the +header files and runtime libraries covered by this Exception. + +0. Definitions. + +A file is an "Independent Module" if it either requires the Runtime +Library for execution after a Compilation Process, or makes use of an +interface provided by the Runtime Library, but is not otherwise based +on the Runtime Library. + +"GCC" means a version of the GNU Compiler Collection, with or without +modifications, governed by version 3 (or a specified later version) of +the GNU General Public License (GPL) with the option of using any +subsequent versions published by the FSF. + +"GPL-compatible Software" is software whose conditions of propagation, +modification and use would permit combination with GCC in accord with +the license of GCC. + +"Target Code" refers to output from any compiler for a real or virtual +target processor architecture, in executable form or suitable for +input to an assembler, loader, linker and/or execution +phase. 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No Weakening of GCC Copyleft. + +The availability of this Exception does not imply any general +presumption that third-party software is unaffected by the copyleft +requirements of the license of GCC. +``` + + +----- + +## scipy 1.17.1 + +Declared license: License :: OSI Approved :: BSD License + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: homepage, https://scipy.org/; documentation, https://docs.scipy.org/doc/scipy/; source, https://github.com/scipy/scipy; download, https://github.com/scipy/scipy/releases; tracker, https://github.com/scipy/scipy/issues + +### LICENSE.txt + +```text +Copyright (c) 2001-2002 Enthought, Inc. 2003, SciPy Developers. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions +are met: + +1. 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But first, please read +. + + +Name: libquadmath +Files: scipy.libs/libquadmath*.so +Description: dynamically linked to files compiled with gcc +Availability: https://gcc.gnu.org/git/?p=gcc.git;a=tree;f=libquadmath +License: LGPL-2.1-or-later + + GCC Quad-Precision Math Library + Copyright (C) 2010-2019 Free Software Foundation, Inc. + Written by Francois-Xavier Coudert + + This file is part of the libquadmath library. + Libquadmath is free software; you can redistribute it and/or + modify it under the terms of the GNU Library General Public + License as published by the Free Software Foundation; either + version 2.1 of the License, or (at your option) any later version. + + Libquadmath is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU + Lesser General Public License for more details. + https://www.gnu.org/licenses/old-licenses/lgpl-2.1.html +``` + + +----- + +## shellingham 1.5.4 + +Declared license: ISC License + +Scope: separately installed ParseBench preparation/scoring dependency. + +### LICENSE + +```text +Copyright (c) 2018, Tzu-ping Chung + +Permission to use, copy, modify, and distribute this software for any +purpose with or without fee is hereby granted, provided that the above +copyright notice and this permission notice appear in all copies. + +THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES +WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF +MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR +ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES +WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN +ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF +OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE. +``` + + +----- + +## six 1.17.0 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +### LICENSE + +```text +Copyright (c) 2010-2024 Benjamin Peterson + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## sniffio 1.3.1 + +Declared license: MIT OR Apache-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/python-trio/sniffio; Documentation, https://sniffio.readthedocs.io/; Changelog, https://sniffio.readthedocs.io/en/latest/history.html + +### LICENSE + +```text +This software is made available under the terms of *either* of the +licenses found in LICENSE.APACHE2 or LICENSE.MIT. Contributions to are +made under the terms of *both* these licenses. +``` + +### LICENSE.APACHE2 + +```text + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. 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We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` + +### LICENSE.MIT + +```text +The MIT License (MIT) + +Permission is hereby granted, free of charge, to any person obtaining +a copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be +included in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, +EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND +NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE +LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION +OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION +WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## soupsieve 2.8.3 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/facelessuser/soupsieve + +### licenses/LICENSE.md + +```text +MIT License + +Copyright (c) 2018 - 2026 Isaac Muse + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## termcolor 3.3.0 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Changelog, https://github.com/termcolor/termcolor/releases; Homepage, https://github.com/termcolor/termcolor; Source, https://github.com/termcolor/termcolor + +### licenses/COPYING.txt + +```text +Copyright (c) 2008-2011 Volvox Development Team + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. +``` + + +----- + +## threadpoolctl 3.6.0 + +Declared license: BSD-3-Clause + +Scope: separately installed ParseBench preparation/scoring dependency. + +### licenses/LICENSE + +```text +Copyright (c) 2019, threadpoolctl contributors + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + + * Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + * Neither the name of copyright holder nor the names of its contributors + may be used to endorse or promote products derived from this software + without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## tqdm 4.67.3 + +Declared license: MPL-2.0 AND MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: homepage, https://tqdm.github.io; repository, https://github.com/tqdm/tqdm; changelog, https://tqdm.github.io/releases; wiki, https://github.com/tqdm/tqdm/wiki + +### licenses/LICENCE + +```text +`tqdm` is a product of collaborative work. +Unless otherwise stated, all authors (see commit logs) retain copyright +for their respective work, and release the work under the MIT licence +(text below). + +Exceptions or notable authors are listed below +in reverse chronological order: + +* files: * + MPL-2.0 2015-2026 (c) Casper da Costa-Luis + [casperdcl](https://github.com/casperdcl). +* files: tqdm/_tqdm.py + MIT 2016 (c) [PR #96] on behalf of Google Inc. +* files: tqdm/_tqdm.py README.rst .gitignore + MIT 2013 (c) Noam Yorav-Raphael, original author. + +[PR #96]: https://github.com/tqdm/tqdm/pull/96 + + +Mozilla Public Licence (MPL) v. 2.0 - Exhibit A +----------------------------------------------- + +This Source Code Form is subject to the terms of the +Mozilla Public License, v. 2.0. +If a copy of the MPL was not distributed with this project, +You can obtain one at https://mozilla.org/MPL/2.0/. + + +MIT License (MIT) +----------------- + +Copyright (c) 2013 noamraph + +Permission is hereby granted, free of charge, to any person obtaining a copy of +this software and associated documentation files (the "Software"), to deal in +the Software without restriction, including without limitation the rights to +use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of +the Software, and to permit persons to whom the Software is furnished to do so, +subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS +FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR +COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER +IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN +CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. +``` + + +----- + +## typer 0.24.1 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/fastapi/typer; Documentation, https://typer.tiangolo.com; Repository, https://github.com/fastapi/typer; Issues, https://github.com/fastapi/typer/issues; Changelog, https://typer.tiangolo.com/release-notes/ + +### licenses/LICENSE + +```text +The MIT License (MIT) + +Copyright (c) 2019 Sebastián Ramírez + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in +all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN +THE SOFTWARE. +``` + + +----- + +## typing-inspection 0.4.2 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Homepage, https://github.com/pydantic/typing-inspection; Documentation, https://pydantic.github.io/typing-inspection/dev/; Source, https://github.com/pydantic/typing-inspection; Changelog, https://github.com/pydantic/typing-inspection/blob/main/HISTORY.md + +### licenses/LICENSE + +```text +MIT License + +Copyright (c) Pydantic Services Inc. 2025 to present + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## typing_extensions 4.15.0 + +Declared license: PSF-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Bug Tracker, https://github.com/python/typing_extensions/issues; Changes, https://github.com/python/typing_extensions/blob/main/CHANGELOG.md; Documentation, https://typing-extensions.readthedocs.io/; Home, https://github.com/python/typing_extensions; Q & A, https://github.com/python/typing/discussions; Repository, https://github.com/python/typing_extensions + +### licenses/LICENSE + +```text +A. HISTORY OF THE SOFTWARE +========================== + +Python was created in the early 1990s by Guido van Rossum at Stichting +Mathematisch Centrum (CWI, see https://www.cwi.nl) in the Netherlands +as a successor of a language called ABC. Guido remains Python's +principal author, although it includes many contributions from others. + +In 1995, Guido continued his work on Python at the Corporation for +National Research Initiatives (CNRI, see https://www.cnri.reston.va.us) +in Reston, Virginia where he released several versions of the +software. + +In May 2000, Guido and the Python core development team moved to +BeOpen.com to form the BeOpen PythonLabs team. In October of the same +year, the PythonLabs team moved to Digital Creations, which became +Zope Corporation. In 2001, the Python Software Foundation (PSF, see +https://www.python.org/psf/) was formed, a non-profit organization +created specifically to own Python-related Intellectual Property. +Zope Corporation was a sponsoring member of the PSF. + +All Python releases are Open Source (see https://opensource.org for +the Open Source Definition). Historically, most, but not all, Python +releases have also been GPL-compatible; the table below summarizes +the various releases. + + Release Derived Year Owner GPL- + from compatible? (1) + + 0.9.0 thru 1.2 1991-1995 CWI yes + 1.3 thru 1.5.2 1.2 1995-1999 CNRI yes + 1.6 1.5.2 2000 CNRI no + 2.0 1.6 2000 BeOpen.com no + 1.6.1 1.6 2001 CNRI yes (2) + 2.1 2.0+1.6.1 2001 PSF no + 2.0.1 2.0+1.6.1 2001 PSF yes + 2.1.1 2.1+2.0.1 2001 PSF yes + 2.1.2 2.1.1 2002 PSF yes + 2.1.3 2.1.2 2002 PSF yes + 2.2 and above 2.1.1 2001-now PSF yes + +Footnotes: + +(1) GPL-compatible doesn't mean that we're distributing Python under + the GPL. All Python licenses, unlike the GPL, let you distribute + a modified version without making your changes open source. The + GPL-compatible licenses make it possible to combine Python with + other software that is released under the GPL; the others don't. + +(2) According to Richard Stallman, 1.6.1 is not GPL-compatible, + because its license has a choice of law clause. According to + CNRI, however, Stallman's lawyer has told CNRI's lawyer that 1.6.1 + is "not incompatible" with the GPL. + +Thanks to the many outside volunteers who have worked under Guido's +direction to make these releases possible. + + +B. TERMS AND CONDITIONS FOR ACCESSING OR OTHERWISE USING PYTHON +=============================================================== + +Python software and documentation are licensed under the +Python Software Foundation License Version 2. + +Starting with Python 3.8.6, examples, recipes, and other code in +the documentation are dual licensed under the PSF License Version 2 +and the Zero-Clause BSD license. + +Some software incorporated into Python is under different licenses. +The licenses are listed with code falling under that license. + + +PYTHON SOFTWARE FOUNDATION LICENSE VERSION 2 +-------------------------------------------- + +1. This LICENSE AGREEMENT is between the Python Software Foundation +("PSF"), and the Individual or Organization ("Licensee") accessing and +otherwise using this software ("Python") in source or binary form and +its associated documentation. + +2. Subject to the terms and conditions of this License Agreement, PSF hereby +grants Licensee a nonexclusive, royalty-free, world-wide license to reproduce, +analyze, test, perform and/or display publicly, prepare derivative works, +distribute, and otherwise use Python alone or in any derivative version, +provided, however, that PSF's License Agreement and PSF's notice of copyright, +i.e., "Copyright (c) 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, +2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023 Python Software Foundation; +All Rights Reserved" are retained in Python alone or in any derivative version +prepared by Licensee. + +3. In the event Licensee prepares a derivative work that is based on +or incorporates Python or any part thereof, and wants to make +the derivative work available to others as provided herein, then +Licensee hereby agrees to include in any such work a brief summary of +the changes made to Python. + +4. 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This +Agreement may also be obtained from a proxy server on the internet +using the following URL: http://hdl.handle.net/1895.22/1013". + +3. In the event Licensee prepares a derivative work that is based on +or incorporates Python 1.6.1 or any part thereof, and wants to make +the derivative work available to others as provided herein, then +Licensee hereby agrees to include in any such work a brief summary of +the changes made to Python 1.6.1. + +4. CNRI is making Python 1.6.1 available to Licensee on an "AS IS" +basis. CNRI MAKES NO REPRESENTATIONS OR WARRANTIES, EXPRESS OR +IMPLIED. BY WAY OF EXAMPLE, BUT NOT LIMITATION, CNRI MAKES NO AND +DISCLAIMS ANY REPRESENTATION OR WARRANTY OF MERCHANTABILITY OR FITNESS +FOR ANY PARTICULAR PURPOSE OR THAT THE USE OF PYTHON 1.6.1 WILL NOT +INFRINGE ANY THIRD PARTY RIGHTS. + +5. CNRI SHALL NOT BE LIABLE TO LICENSEE OR ANY OTHER USERS OF PYTHON +1.6.1 FOR ANY INCIDENTAL, SPECIAL, OR CONSEQUENTIAL DAMAGES OR LOSS AS +A RESULT OF MODIFYING, DISTRIBUTING, OR OTHERWISE USING PYTHON 1.6.1, +OR ANY DERIVATIVE THEREOF, EVEN IF ADVISED OF THE POSSIBILITY THEREOF. + +6. This License Agreement will automatically terminate upon a material +breach of its terms and conditions. + +7. This License Agreement shall be governed by the federal +intellectual property law of the United States, including without +limitation the federal copyright law, and, to the extent such +U.S. federal law does not apply, by the law of the Commonwealth of +Virginia, excluding Virginia's conflict of law provisions. +Notwithstanding the foregoing, with regard to derivative works based +on Python 1.6.1 that incorporate non-separable material that was +previously distributed under the GNU General Public License (GPL), the +law of the Commonwealth of Virginia shall govern this License +Agreement only as to issues arising under or with respect to +Paragraphs 4, 5, and 7 of this License Agreement. Nothing in this +License Agreement shall be deemed to create any relationship of +agency, partnership, or joint venture between CNRI and Licensee. 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But when you +distribute the same sections as part of a whole which is a work based +on the Program, the distribution of the whole must be on the terms of +this License, whose permissions for other licensees extend to the +entire whole, and thus to each and every part regardless of who wrote it. + +Thus, it is not the intent of this section to claim rights or contest +your rights to work written entirely by you; rather, the intent is to +exercise the right to control the distribution of derivative or +collective works based on the Program. + +In addition, mere aggregation of another work not based on the Program +with the Program (or with a work based on the Program) on a volume of +a storage or distribution medium does not bring the other work under +the scope of this License. + + 3. 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Each time you redistribute the Program (or any work based on the +Program), the recipient automatically receives a license from the +original licensor to copy, distribute or modify the Program subject to +these terms and conditions. You may not impose any further +restrictions on the recipients' exercise of the rights granted herein. +You are not responsible for enforcing compliance by third parties to +this License. + + 7. If, as a consequence of a court judgment or allegation of patent +infringement or for any other reason (not limited to patent issues), +conditions are imposed on you (whether by court order, agreement or +otherwise) that contradict the conditions of this License, they do not +excuse you from the conditions of this License. If you cannot +distribute so as to satisfy simultaneously your obligations under this +License and any other pertinent obligations, then as a consequence you +may not distribute the Program at all. For example, if a patent +license would not permit royalty-free redistribution of the Program by +all those who receive copies directly or indirectly through you, then +the only way you could satisfy both it and this License would be to +refrain entirely from distribution of the Program. + +If any portion of this section is held invalid or unenforceable under +any particular circumstance, the balance of the section is intended to +apply and the section as a whole is intended to apply in other +circumstances. + +It is not the purpose of this section to induce you to infringe any +patents or other property right claims or to contest validity of any +such claims; this section has the sole purpose of protecting the +integrity of the free software distribution system, which is +implemented by public license practices. Many people have made +generous contributions to the wide range of software distributed +through that system in reliance on consistent application of that +system; it is up to the author/donor to decide if he or she is willing +to distribute software through any other system and a licensee cannot +impose that choice. + +This section is intended to make thoroughly clear what is believed to +be a consequence of the rest of this License. + + 8. If the distribution and/or use of the Program is restricted in +certain countries either by patents or by copyrighted interfaces, the +original copyright holder who places the Program under this License +may add an explicit geographical distribution limitation excluding +those countries, so that distribution is permitted only in or among +countries not thus excluded. In such case, this License incorporates +the limitation as if written in the body of this License. + + 9. The Free Software Foundation may publish revised and/or new versions +of the General Public License from time to time. Such new versions will +be similar in spirit to the present version, but may differ in detail to +address new problems or concerns. + +Each version is given a distinguishing version number. If the Program +specifies a version number of this License which applies to it and "any +later version", you have the option of following the terms and conditions +either of that version or of any later version published by the Free +Software Foundation. If the Program does not specify a version number of +this License, you may choose any version ever published by the Free Software +Foundation. + + 10. If you wish to incorporate parts of the Program into other free +programs whose distribution conditions are different, write to the author +to ask for permission. For software which is copyrighted by the Free +Software Foundation, write to the Free Software Foundation; we sometimes +make exceptions for this. Our decision will be guided by the two goals +of preserving the free status of all derivatives of our free software and +of promoting the sharing and reuse of software generally. + + NO WARRANTY + + 11. BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE, THERE IS NO WARRANTY +FOR THE PROGRAM, TO THE EXTENT PERMITTED BY APPLICABLE LAW. EXCEPT WHEN +OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND/OR OTHER PARTIES +PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY OF ANY KIND, EITHER EXPRESSED +OR IMPLIED, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF +MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE ENTIRE RISK AS +TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU. SHOULD THE +PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF ALL NECESSARY SERVICING, +REPAIR OR CORRECTION. + + 12. IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING +WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MAY MODIFY AND/OR +REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, +INCLUDING ANY GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING +OUT OF THE USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED +TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY +YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER +PROGRAMS), EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE +POSSIBILITY OF SUCH DAMAGES. + + END OF TERMS AND CONDITIONS + + How to Apply These Terms to Your New Programs + + If you develop a new program, and you want it to be of the greatest +possible use to the public, the best way to achieve this is to make it +free software which everyone can redistribute and change under these terms. + + To do so, attach the following notices to the program. It is safest +to attach them to the start of each source file to most effectively +convey the exclusion of warranty; and each file should have at least +the "copyright" line and a pointer to where the full notice is found. + + + Copyright (C) + + This program is free software; you can redistribute it and/or modify + it under the terms of the GNU General Public License as published by + the Free Software Foundation; either version 2 of the License, or + (at your option) any later version. + + This program is distributed in the hope that it will be useful, + but WITHOUT ANY WARRANTY; without even the implied warranty of + MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the + GNU General Public License for more details. + + You should have received a copy of the GNU General Public License along + with this program; if not, write to the Free Software Foundation, Inc., + 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. + +Also add information on how to contact you by electronic and paper mail. + +If the program is interactive, make it output a short notice like this +when it starts in an interactive mode: + + Gnomovision version 69, Copyright (C) year name of author + Gnomovision comes with ABSOLUTELY NO WARRANTY; for details type `show w'. + This is free software, and you are welcome to redistribute it + under certain conditions; type `show c' for details. + +The hypothetical commands `show w' and `show c' should show the appropriate +parts of the General Public License. Of course, the commands you use may +be called something other than `show w' and `show c'; they could even be +mouse-clicks or menu items--whatever suits your program. + +You should also get your employer (if you work as a programmer) or your +school, if any, to sign a "copyright disclaimer" for the program, if +necessary. Here is a sample; alter the names: + + Yoyodyne, Inc., hereby disclaims all copyright interest in the program + `Gnomovision' (which makes passes at compilers) written by James Hacker. + + , 1 April 1989 + Ty Coon, President of Vice + +This General Public License does not permit incorporating your program into +proprietary programs. If your program is a subroutine library, you may +consider it more useful to permit linking proprietary applications with the +library. If this is what you want to do, use the GNU Lesser General +Public License instead of this License. +``` + + +----- + +## urllib3 2.8.0 + +Declared license: MIT + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Changelog, https://github.com/urllib3/urllib3/blob/main/CHANGES.rst; Documentation, https://urllib3.readthedocs.io; Code, https://github.com/urllib3/urllib3; Issue tracker, https://github.com/urllib3/urllib3/issues; Security policy, https://urllib3.readthedocs.io/en/latest/security.html + +### licenses/LICENSE.txt + +```text +MIT License + +Copyright (c) 2008-2020 Andrey Petrov and contributors. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. +``` + + +----- + +## webencodings 0.5.1 + +Declared license: BSD + +Scope: separately installed ParseBench preparation/scoring dependency. + +The published distribution omits a license file. Text below was retrieved from upstream: https://raw.githubusercontent.com/gsnedders/python-webencodings/v0.5.1/LICENSE + +### webencodings-LICENSE + +```text +Copyright (c) 2012 by Simon Sapin. + +Some rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + + * The names of the contributors may not be used to endorse or + promote products derived from this software without specific + prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT +OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, +SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT +LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, +DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY +THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT +(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. +``` + + +----- + +## yarl 1.25.1 + +Declared license: Apache-2.0 + +Scope: separately installed ParseBench preparation/scoring dependency. + +Upstream: Chat: Matrix, https://matrix.to/#/#aio-libs:matrix.org; Chat: Matrix Space, https://matrix.to/#/#aio-libs-space:matrix.org; CI: GitHub Workflows, https://github.com/aio-libs/yarl/actions?query=branch:master; Code of Conduct, https://github.com/aio-libs/.github/blob/master/CODE_OF_CONDUCT.md; Coverage: codecov, https://codecov.io/github/aio-libs/yarl; Docs: Changelog, https://yarl.aio-libs.org/en/latest/changes/; Docs: RTD, https://yarl.aio-libs.org; GitHub: issues, https://github.com/aio-libs/yarl/issues; GitHub: repo, https://github.com/aio-libs/yarl + +### licenses/LICENSE + +```text + + Apache License + Version 2.0, January 2004 + http://www.apache.org/licenses/ + + TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION + + 1. Definitions. + + "License" shall mean the terms and conditions for use, reproduction, + and distribution as defined by Sections 1 through 9 of this document. + + "Licensor" shall mean the copyright owner or entity authorized by + the copyright owner that is granting the License. + + "Legal Entity" shall mean the union of the acting entity and all + other entities that control, are controlled by, or are under common + control with that entity. For the purposes of this definition, + "control" means (i) the power, direct or indirect, to cause the + direction or management of such entity, whether by contract or + otherwise, or (ii) ownership of fifty percent (50%) or more of the + outstanding shares, or (iii) beneficial ownership of such entity. + + "You" (or "Your") shall mean an individual or Legal Entity + exercising permissions granted by this License. + + "Source" form shall mean the preferred form for making modifications, + including but not limited to software source code, documentation + source, and configuration files. + + "Object" form shall mean any form resulting from mechanical + transformation or translation of a Source form, including but + not limited to compiled object code, generated documentation, + and conversions to other media types. + + "Work" shall mean the work of authorship, whether in Source or + Object form, made available under the License, as indicated by a + copyright notice that is included in or attached to the work + (an example is provided in the Appendix below). + + "Derivative Works" shall mean any work, whether in Source or Object + form, that is based on (or derived from) the Work and for which the + editorial revisions, annotations, elaborations, or other modifications + represent, as a whole, an original work of authorship. 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For the purposes of this definition, "submitted" + means any form of electronic, verbal, or written communication sent + to the Licensor or its representatives, including but not limited to + communication on electronic mailing lists, source code control systems, + and issue tracking systems that are managed by, or on behalf of, the + Licensor for the purpose of discussing and improving the Work, but + excluding communication that is conspicuously marked or otherwise + designated in writing by the copyright owner as "Not a Contribution." + + "Contributor" shall mean Licensor and any individual or Legal Entity + on behalf of whom a Contribution has been received by Licensor and + subsequently incorporated within the Work. + + 2. Grant of Copyright License. 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If You + institute patent litigation against any entity (including a + cross-claim or counterclaim in a lawsuit) alleging that the Work + or a Contribution incorporated within the Work constitutes direct + or contributory patent infringement, then any patent licenses + granted to You under this License for that Work shall terminate + as of the date such litigation is filed. + + 4. Redistribution. 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The contents + of the NOTICE file are for informational purposes only and + do not modify the License. You may add Your own attribution + notices within Derivative Works that You distribute, alongside + or as an addendum to the NOTICE text from the Work, provided + that such additional attribution notices cannot be construed + as modifying the License. + + You may add Your own copyright statement to Your modifications and + may provide additional or different license terms and conditions + for use, reproduction, or distribution of Your modifications, or + for any such Derivative Works as a whole, provided Your use, + reproduction, and distribution of the Work otherwise complies with + the conditions stated in this License. + + 5. Submission of Contributions. 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Unless required by applicable law or + agreed to in writing, Licensor provides the Work (and each + Contributor provides its Contributions) on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or + implied, including, without limitation, any warranties or conditions + of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A + PARTICULAR PURPOSE. You are solely responsible for determining the + appropriateness of using or redistributing the Work and assume any + risks associated with Your exercise of permissions under this License. + + 8. Limitation of Liability. In no event and under no legal theory, + whether in tort (including negligence), contract, or otherwise, + unless required by applicable law (such as deliberate and grossly + negligent acts) or agreed to in writing, shall any Contributor be + liable to You for damages, including any direct, indirect, special, + incidental, or consequential damages of any character arising as a + result of this License or out of the use or inability to use the + Work (including but not limited to damages for loss of goodwill, + work stoppage, computer failure or malfunction, or any and all + other commercial damages or losses), even if such Contributor + has been advised of the possibility of such damages. + + 9. Accepting Warranty or Additional Liability. While redistributing + the Work or Derivative Works thereof, You may choose to offer, + and charge a fee for, acceptance of support, warranty, indemnity, + or other liability obligations and/or rights consistent with this + License. However, in accepting such obligations, You may act only + on Your own behalf and on Your sole responsibility, not on behalf + of any other Contributor, and only if You agree to indemnify, + defend, and hold each Contributor harmless for any liability + incurred by, or claims asserted against, such Contributor by reason + of your accepting any such warranty or additional liability. + + END OF TERMS AND CONDITIONS + + APPENDIX: How to apply the Apache License to your work. + + To apply the Apache License to your work, attach the following + boilerplate notice, with the fields enclosed by brackets "[]" + replaced with your own identifying information. (Don't include + the brackets!) The text should be enclosed in the appropriate + comment syntax for the file format. We also recommend that a + file or class name and description of purpose be included on the + same "printed page" as the copyright notice for easier + identification within third-party archives. + + Copyright [yyyy] [name of copyright owner] + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` + +### licenses/NOTICE + +```text + Copyright 2016-2021, Andrew Svetlov and aio-libs team + + Licensed under the Apache License, Version 2.0 (the "License"); + you may not use this file except in compliance with the License. + You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + + Unless required by applicable law or agreed to in writing, software + distributed under the License is distributed on an "AS IS" BASIS, + WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + See the License for the specific language governing permissions and + limitations under the License. +``` diff --git a/TOKENIZER_ATTRIBUTION.md b/TOKENIZER_ATTRIBUTION.md new file mode 100644 index 0000000000000000000000000000000000000000..24bb6a07c43cc7ce5bcd0afa1f64e03be72114bd --- /dev/null +++ b/TOKENIZER_ATTRIBUTION.md @@ -0,0 +1,41 @@ +# Tokenizer Attribution + +## Meta Platforms, Inc. and affiliates — Nougat tokenizer — MIT License + +Component: `nougat/dataset/tokenizer.json` + +Source: https://github.com/facebookresearch/nougat/blob/5a92920d342fb6acf05fc9b594ccb4053dbe8e7a/nougat/dataset/tokenizer.json + +Source revision: `5a92920d342fb6acf05fc9b594ccb4053dbe8e7a` + +Attribution Statements: Modified by NVIDIA. The base 50,000-token vocabulary and token IDs, BPE merge rules, decoder, and original special-token IDs are retained. NVIDIA added multilingual and document-parsing tokens, including chart-related tokens, expanding the tokenizer to 72,505 entries, and modified pre-tokenization. + +License Text (https://github.com/facebookresearch/nougat/blob/5a92920d342fb6acf05fc9b594ccb4053dbe8e7a/LICENSE) + +MIT License + +Copyright (c) Meta Platforms, Inc. and affiliates. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. + +## NVIDIA tokenizer modifications + +Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. + +License: MIT diff --git a/bias.md b/bias.md new file mode 100644 index 0000000000000000000000000000000000000000..9e274c957213724989d59e65de6eee81bafc943c --- /dev/null +++ b/bias.md @@ -0,0 +1,7 @@ +## Bias + +Field | Response +:---- | :---- +Participation considerations from adversely impacted groups [protected classes](https://calcivilrights.ca.gov/disputeresolution/protected-characteristics/) in model design and testing: | None +Measures taken to mitigate against unwanted bias: | Dataset curation, filtering, and evaluation include review across document types, layouts, languages, and scripts where available. Users should evaluate performance on their target document domains before deployment. +Bias Metric (If Measured): | Not measured as a demographic fairness metric. Model quality is evaluated through document parsing, OCR, layout, table, chart, and reading-order metrics. diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000000000000000000000000000000000000..f9fa67dcbb2a57650d7e8b9f9f14a70e481a357f --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,3 @@ +{# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. #} +{# SPDX-License-Identifier: OpenMDW-1.1 #} +{% for message in messages %}{{ message['content'] }}{% endfor %} diff --git a/config.json b/config.json new file mode 100644 index 0000000000000000000000000000000000000000..dbba9c73cf3cf8569e4767c7a6d80b81152f5867 --- /dev/null +++ b/config.json @@ -0,0 +1,207 @@ +{ + "architectures": [ + "RadioMBartPrefixForCausalLM" + ], + "auto_map": { + "AutoConfig": "hf_nemotron_parse_config.NemotronParseConfig", + "AutoModel": "hf_nemotron_parse_modeling.NemotronParseForConditionalGeneration", + "AutoImageProcessor": "hf_nemotron_parse_processor.NemotronParseImageProcessor", + "AutoProcessor": "hf_nemotron_parse_processor.NemotronParseProcessor" + }, + "bos_token_id": 0, + "decoder": { + "_attn_implementation": "sdpa", + "_name_or_path": "", + "activation_dropout": 0.0, + "activation_function": "gelu", + "add_cross_attention": false, + "add_final_layer_norm": true, + "architectures": null, + "attention_dropout": 0.0, + "bad_words_ids": null, + "begin_suppress_tokens": null, + "bos_token_id": 0, + "chunk_size_feed_forward": 0, + "classifier_dropout": 0.0, + "cross_attention_hidden_size": null, + "d_model": 1024, + "decoder_attention_heads": 16, + "decoder_ffn_dim": 4096, + "decoder_layerdrop": 0.0, + "decoder_layers": 10, + "decoder_start_token_id": null, + "diversity_penalty": 0.0, + "do_sample": false, + "dropout": 0.1, + "early_stopping": false, + "encoder_attention_heads": 16, + "encoder_ffn_dim": 4096, + "encoder_layerdrop": 0.0, + "encoder_layers": 12, + "encoder_no_repeat_ngram_size": 0, + "eos_token_id": 2, + "exponential_decay_length_penalty": null, + "finetuning_task": null, + "forced_bos_token_id": null, + "forced_eos_token_id": 2, + "hidden_size": 1024, + "id2label": { + "0": "LABEL_0", + "1": "LABEL_1", + "2": "LABEL_2" + }, + "init_std": 0.02, + "is_decoder": true, + "is_encoder_decoder": false, + "label2id": { + "LABEL_0": 0, + "LABEL_1": 1, + "LABEL_2": 2 + }, + "length_penalty": 1.0, + "max_length": 20, + "min_length": 0, + "model_type": "nemotron_parse_text", + "no_repeat_ngram_size": 0, + "num_beam_groups": 1, + "num_beams": 1, + "num_hidden_layers": 10, + "num_return_sequences": 1, + "output_attentions": false, + "output_hidden_states": false, + "output_scores": false, + "pad_token_id": 1, + "prefix": null, + "problem_type": null, + "pruned_heads": {}, + "remove_invalid_values": false, + "repetition_penalty": 1.0, + "return_dict": true, + "return_dict_in_generate": false, + "scale_embedding": true, + "sep_token_id": null, + "suppress_tokens": null, + "task_specific_params": null, + "temperature": 1.0, + "tf_legacy_loss": false, + "tie_encoder_decoder": false, + "tie_word_embeddings": true, + "tokenizer_class": null, + "top_k": 50, + "top_p": 1.0, + "torch_dtype": "bfloat16", + "torchscript": false, + "transformers_version": "5.6.1", + "typical_p": 1.0, + "use_bfloat16": true, + "use_cache": true, + "vocab_size": 72512, + "self_attention_kv_heads": 8, + "cross_attention_kv_heads": 0, + "causal_vision_prefix": true + }, + "decoder_start_token_id": 2, + "encoder": { + "_name_or_path": "nvidia/C-RADIOv4-SO400M", + "adaptor_configs": {}, + "adaptor_names": null, + "architectures": [ + "RADIOModel" + ], + "args": { + "cls_token_per_teacher": true, + "cpe_max_size": 2048, + "model": "vit_so400m_patch16_224", + "register_multiple": 10, + "teachers": [ + { + "name": "siglip2-g", + "use_summary": true + }, + { + "name": "dino_v3_7b", + "use_summary": true + }, + { + "name": "sam3", + "use_summary": false + } + ] + }, + "auto_map": { + "AutoConfig": "nvidia/C-RADIOv4-SO400M--hf_model.RADIOConfig", + "AutoModel": "nvidia/C-RADIOv4-SO400M--hf_model.RADIOModel" + }, + "chunk_size_feed_forward": 0, + "dtype": "float32", + "feature_normalizer_config": null, + "id2label": { + "0": "LABEL_0", + "1": "LABEL_1" + }, + "inter_feature_normalizer_config": null, + "is_encoder_decoder": false, + "label2id": { + "LABEL_0": 0, + "LABEL_1": 1 + }, + "max_resolution": 2048, + "model_type": "", + "output_attentions": false, + "output_hidden_states": false, + "patch_size": 16, + "preferred_resolution": [ + 512, + 512 + ], + "problem_type": null, + "return_dict": true, + "version": "c-radio_v4-so400m", + "vitdet_window_size": null, + "code_revision": "c0457f5dc26ca145f954cd4fc5bb6114e5705ad8" + }, + "eos_token_id": 2, + "image_size": [ + 2048, + 1664 + ], + "is_encoder_decoder": false, + "max_sequence_length": 16384, + "model_type": "nemotron_parse", + "pad_token_id": 1, + "tie_word_embeddings": true, + "torch_dtype": "bfloat16", + "transformers_version": "5.6.1", + "vocab_size": 72512, + "class_token_start_idx": 52315, + "legacy_use_hf_vision_model": true, + "vision_backbone_name": "nvidia/C-RADIOv4-SO400M", + "vision_spatial_dim": 1152, + "vision_summary_dim": 2304, + "architecture_benchmark": { + "backbone": "nvidia/C-RADIOv4-SO400M", + "attention_mode": "global", + "spatial_dim": 1152, + "summary_dim": 2304 + }, + "navit_disable_cpe_augmentation": true, + "self_attention_kv_heads": 8, + "cross_attention_kv_heads": 0, + "legacy_causal_vision_prefix": true, + "legacy_causal_prefix_context_limit": 16384, + "image_token_index": 1, + "num_hidden_layers": 10, + "decoder_layers": 10, + "hidden_size": 1024, + "intermediate_size": 4096, + "num_attention_heads": 16, + "num_key_value_heads": 8, + "max_position_embeddings": 16384, + "navit_position_embedding_mode": "content_normalized_2d_interpolate", + "navit_packing": true, + "navit_coordinate_frame": "content_normalized", + "virtual_canvas_width": 1664, + "virtual_canvas_height": 2048, + "virtual_canvas_placement": "aligned_center", + "num_extra_heads": 1 +} diff --git a/docker-compose.yaml b/docker-compose.yaml new file mode 100644 index 0000000000000000000000000000000000000000..a4b6f08d0ecc8b1bf9fca24cd0893b455fdbaeb3 --- /dev/null +++ b/docker-compose.yaml @@ -0,0 +1,14 @@ +services: + nemotron-parse: + build: . + image: nemotron-parse:3.5.0.post7 + deploy: + resources: + reservations: + devices: + - driver: nvidia + count: 1 + capabilities: [gpu] + shm_size: 8gb + ports: + - "8000:8000" diff --git a/docs/postprocessing.md b/docs/postprocessing.md new file mode 100644 index 0000000000000000000000000000000000000000..0580c465d662eca1b4d4d069273d3c82859222c0 --- /dev/null +++ b/docs/postprocessing.md @@ -0,0 +1,446 @@ +# Document postprocessing and multipass parsing + +The public helpers operate on model predictions and ordinary page images. They do +not load benchmark labels, scorer code, category IDs, reference answers, or +page-specific rules. They are adapted from the general conversion and crop-merge +components of the bundled ParseBench pipeline. The pinned reproduction bundle +remains unchanged so its recorded hashes and results stay reproducible. + +## Installation + +For vLLM, use the model card's repository-source installation: + +```bash +hf download nvidia/Nemotron-3.5-Parse --local-dir nemotron-parse +cd nemotron-parse +python -m pip install '.[vllm,client]' +``` + +This installs the plugin, public `nemotron_parse` Python package, compatibility +modules, and `nemotron-parse` command. No prebuilt wheel is required. +The repository source installs the vLLM plugin, parsing helpers and CLI together. +Archived release artifacts and their digests are listed in the +[build evidence](../reference/package/README.md). +Use version 3.5.0.post5 or later for the restored merge default and post7 or later +for the corrected third-party notices. + +For Transformers, keep the model card's inference dependencies. To download the +helpers without installing the package: + +```bash +python -m pip install 'beautifulsoup4==4.13.3' 'Pillow==12.2.0' 'numpy==2.2.6' 'httpx==0.28.1' +hf download nvidia/Nemotron-3.5-Parse \ + --include 'postprocessing.py' 'latex2html.py' 'nemotron_parse/**' --local-dir . +``` + +Run Python in that directory, or put it on your Python import path. Basic text/table +postprocessing only needs Beautiful Soup; the image wrappers also need Pillow and +NumPy. The HTTP backend needs httpx. Downloaded source and installed packages +provide the same public API. + +## Render an existing prediction + +```python +from nemotron_parse import postprocess_document, PostprocessOptions + +options = PostprocessOptions( + infer_headers=True, + render_charts=True, + split_chart_value_percent=True, + relocate_chart_captions=True, +) +document = postprocess_document(raw_model_output, image_size=(width, height), options=options) +print(document['markdown']) +print(document['blocks']) +``` + +`raw_out` contains the cleaned model serialization. Each block has its original +class, normalized `bbox`, literal `text`, and rendered `content`. Supplying +`image_size` adds clipped, ordered `bbox_pixels`. `markdown` renders the complete +page in model order, with section headings and HTML tables for span preservation. +Raw per-block text remains available independently of presentation changes. +Malformed table markup that cannot be converted is preserved rather than passed +through a lossy row splitter; document `warnings` identify these blocks. + +Default cleanup preserves empty cells, spans, line breaks, nested inline styles, +and escaped literals. It removes exact repeated blocks at identical coordinates, +repairs empty incomplete serialization prefixes, removes internal continuation +markers, and normalizes existing bullets and soft hyphens in textual roles. +Code/math roles and marked code/math text are protected from soft-hyphen cleanup. +Table conversion is applied to Table/Chart blocks; literal LaTeX in prose, code, +formulas, or Picture blocks retains its source representation. +Header inference uses predicted span topology and existing bold styling, never an +English vocabulary list. It can still make mistakes; disable `infer_headers` to +use only explicit predicted headers. Unknown classes and page numbers are retained. + +Chart titles, subtitles, and explicit panel labels can be rendered with their +associated tables. Two guarded presentation choices are enabled by default and can be disabled: + +- `split_chart_value_percent=True` splits consistently predicted numeric pairs + such as `32 (16.6%)` into Value and Percent subcolumns. It requires at least two + matching nonempty cells, adds those column labels, and does not calculate values. +- `relocate_chart_captions=True` associates a plain caption immediately above a + chart when geometry and text-preservation checks pass. Notes below remain + standalone. Set `relocate_chart_captions=False` to retain the standalone caption in its source order. + +`normalize_text=False`, `deduplicate=False`, and `render_charts=False` disable the +corresponding cleanup/rendering choices. The existing root imports continue to +work: + +```python +from postprocessing import extract_classes_bboxes, postprocess_text +from latex2html import convert_html_table_to_json_hierarchical +``` + +`postprocess_text(..., cls='Table', table_format=...)` supports LaTeX, HTML, +Markdown, record JSON, hierarchical JSON, and CSV. HTML retains merged-cell +structure. Flat exports expand spans and use neutral column names for headerless +tables without consuming the first data row as a header. Duplicate column names +are disambiguated without overwriting values. Hierarchical JSON retains the +existing `headers`, `columns`, and flat `data` fields and additionally exposes +`body_cells` with explicit text, span, and header-role metadata. + +## Parse a page with a running vLLM server + +Start the server using the model card. Then: + +```python +from nemotron_parse.inference import DocumentParser + +with DocumentParser(base_url='http://localhost:8000/v1', model='nemotron-parse') as parser: + single = parser.parse('page.png') + double = parser.parse_double('page.png') + triple = parser.parse_triple('page.png', triple_regions='union') + documents = parser.parse_many(['one.png', 'two.png'], mode='double', concurrency=128) +``` + +| Mode | Work performed | +| --- | --- | +| Single | Full-page parse and document rendering | +| Double | Full-page parse, then Table/Chart crops from its predicted regions | +| Triple | Full-page parse, separate detection, then Table/Chart crop parsing | + +A pass denotes a stage, not one request: each retained crop needs its own model +call. `triple_regions='union'` retains detector regions first and adds parser +regions after overlap filtering; `'detector'` uses only the separate detector. +The region budget defaults to 80 per page and can be changed with `max_regions`. +Crops use 4% plus 12-pixel margins and JPEG quality 95, configurable margins, and +content-normalized coordinates mapped back to the original image. Tiny crops are +skipped. Crops are made in memory and no temporary image files remain. + +The default `merge_policy="alternatives"` preserves differing overlapping +Table/Chart predictions from the full-page and crop passes. Near-identical blocks +are deduplicated using geometry and text. Guarded table refinement checks native +grid validity and compatible column counts; the original block order is preserved +and crop alternatives are inserted by their predicted geometry. This policy +matches the reference approach using only model predictions, without labels, +benchmark categories or scorer feedback. + +A returned document can contain overlapping or conflicting Table/Chart hypotheses. +Use `DocumentParser(merge_policy="guarded")` (CLI: `--merge-policy guarded`) when +one selected prediction per overlapping same-class region is preferable. This +option applies conservative structural replacement and rejects overlapping +same-class additions. It can discard a correct alternative, reducing recall. +Raw stage responses remain available with either policy. + +Returned results include `stages` with original raw responses and usage, and +`inference` with request counts, regions, sampling, and crop/rendering settings. +Empty, failed, filtered, or token-limited generations raise `GenerationError`; +its `stage` and `response` expose the failed response. Successful stage responses +from the same page are only returned when parsing completes. No automatic retry +policy changes the request settings. + +Sampling is configurable per stage: + +```python +from nemotron_parse.inference import DocumentParser, GenerationSettings + +with DocumentParser( + fullpage=GenerationSettings(temperature=0, top_k=1, repetition_penalty=1.1), + detection=GenerationSettings(temperature=0, top_k=1, max_tokens=4096), + crop=GenerationSettings(temperature=0, top_k=1, repetition_penalty=1.0), +) as parser: + document = parser.parse_double('page.png') +``` + +Defaults are temperature 0.2 / repetition penalty 1.05 for full-page and detection, +and 0.1 / 1.0 for crops, top-k 50, top-p 1.0, seed 0. Token caps are 8,744 for +parsing and 4,096 for detection. These are practical starting settings rather than +a claim of optimal sampling for every document type. + +## Use an already loaded Transformers model + +Continue from the model card's Transformers setup: + +```python +from nemotron_parse.inference import DocumentParser, TransformersBackend + +backend = TransformersBackend(model, processor, generation_config=generation_config) +with DocumentParser(backend=backend) as parser: + document = parser.parse_triple(image) +``` + +This uses the same image/crop orchestration without a server or plugin. The adapter +serializes calls to the shared model, uses inference mode, applies stage settings, +and restores the CPU/current-GPU RNG after generation. Model weights and processor +remain caller-owned. Reaching the token cap is conservatively reported as +truncation, including when generation forces an EOS at the cap. + +Other inference implementations can supply a callable +`backend(image, *, prompt, stage, settings)` returning +`{'raw_out': text, 'finish_reason': 'stop', 'usage': {...}}`. A string return is also +accepted, but then the custom backend must detect truncation itself. Custom +backends used with `parse_many` should support concurrent calls or use concurrency 1. + +## Command line + +```bash +nemotron-parse --image page.png --mode double --output parsed-page +nemotron-parse --image-dir pages --mode triple --triple-regions union --output parsed-pages +``` + +The download-only equivalent is `python -m nemotron_parse.inference` with the same +arguments. The default outputs are compact `documents.jsonl.gz` and `metrics.json`, containing +blocks, raw stages, settings and timing. Add `--write-page-files` for individual +Markdown and JSON exports. Use a new/empty output directory. Files are written only +after all pages complete. The API accepts PIL images and image paths; the CLI +accepts image files. Render PDF pages to images before calling it. + +## Validation and scope + +Run the focused CPU regression suite from the downloaded repository: + +```bash +python -m pip install pytest +python -m pytest -q tests/test_postprocessing.py tests/test_inference.py tests/test_batch.py +``` + +The 86 focused tests passed from both source and the installed wheel. They cover +table structure, text preservation, chart defaults and opt-outs, crop geometry, +merge guards, HTTP handling, explicit truncation reporting, batch ordering, +independent-stage overlap, early crop submission, a shared concurrency bound, +and staged/pipelined region and output equivalence with deterministic responses. +The Transformers adapter is checked with a small CPU model stub. The real-model +H100 runs and official full-page scoring are recorded below and in +[the validation receipt](../reference/validation/postprocessing.json). The pinned reproduction +bundle and its recorded headline result remain unchanged. + +## Prepared batches and timing + +`parser.prepare(images, workers=8)` returns a reusable in-memory batch containing +decoded RGB pixels and encoded image requests. Existing RGB JPEG/PNG/WebP payloads +are retained without another lossy encode. Other inputs are encoded as PNG. +The preparation time is reported separately, and cached images can occupy several +GB for thousands of document pages. + +`parser.parse_prepared(batch, mode="double", concurrency=128, postprocess_workers=8)` +returns a `BatchResult` with `documents` and `metrics`. The default +`schedule="pipelined"` overlaps independent full-page and detection requests, +submits detector crops as soon as their regions are ready, and adds parser-only +regions in the original union order. Double-pass crops similarly start as each +page finishes its full-page request. Ready crops take the next available HTTP +slot, and new pages fill remaining slots. All stages share one bounded +`concurrency` window, including requests waiting inside vLLM. Crop preparation +uses separate CPU threads; finished pages merge and render while other pages +continue inference. Large batches use spawned rendering processes. + +Run standalone scripts under a main guard, or choose `postprocess_workers=1`. +HTTP `parse_many` uses this same pipelined batch engine and returns only the +documents. Its default request window is 128; a custom backend retains the +four-worker default. Pass `concurrency=1` for a backend that requires serial calls. +Use `schedule="staged"` for stage-barrier comparisons. A custom Transformers +backend still serializes its shared model calls. + +Metrics include separately reported initial preparation, pipeline elapsed time, +request counts, token-limit counts, and processed-page and fully completed-page +throughput. Pipeline time excludes +initial preparation and output-file writing; model-dependent crop preparation is +included. A benchmark should also report serialization and warmup/server-startup +exclusions explicitly. The same prepared batch can be reused for different modes; +each call generates its own responses and provides an independent pipeline timing. +Pipelined stage spans overlap and must not be added together. +`request_service_seconds` sums concurrent request latency, including server queue +wait; it is not GPU compute time. `peak_inflight_requests` records the client +window, while actual server running/waiting requests require vLLM metrics. + +Strict generation handling remains the default. Set `allow_partial=True` (CLI: +`--allow-partial`) only when partial results are useful: capped raw responses are +preserved, affected pages have `complete=False` and `generation_warnings`, and +truncated crops are excluded from refinement. HTTP/transport errors and empty +responses still raise. A successful benchmark execution does not imply that every +page completed within its token limit; inspect both coverage and throughput. + +The CLI supports `--no-split-chart-value-percent` and +`--no-relocate-chart-captions` to disable the default presentation rules. + +## Measured prepared-batch performance + +The following matched scheduler comparison used the earlier **guarded** merge +policy in package 3.5.0.post4. The restored default and its fresh results are in +[accuracy restoration](#accuracy-restoration-with-the-faster-scheduler). + +Measured on all 2,078 unique ParseBench pages with one H100 80GB, vLLM 0.26.0, +`--distributed-executor-backend uni`, tensor parallelism 1, one-token MTP, FA3, +`max_num_seqs=192`, `max_num_batched_tokens=16384`, and `max_model_len=16384`. +Both chart presentation rules were enabled. Each run generated all of its own +responses. The same-server comparison used the same prepared images and +per-mode concurrency limit for both schedulers. + +| Mode | Concurrency | Staged pages/s | Pipelined pages/s | Pipelined elapsed | Fully completed pages | +| --- | ---: | ---: | ---: | ---: | ---: | +| Single | 128 | 14.56 | 14.91 | 139.4 s | 2047/2078 | +| Double | 256 | 11.16 | 11.87 | 175.0 s | 2038/2078 | +| Triple | 128 | 7.31 | 10.90 | 190.6 s | 2039/2078 | + +Initial decoding/encoding of the full batch took 9.7 seconds and was excluded +from these rates. Timed work includes all model calls, predicted-region crop +preparation, merge and rendering; startup, warmup and output serialization are +excluded. The receipt separately reports serialization-inclusive rates. + +These diagnostic runs explicitly enabled `allow_partial=True`. Token-limited +responses remain visible and affected pages count as incomplete. The table reports +processed-page throughput; fully completed-page throughput and cap counts are in +[the benchmark receipt](../reference/validation/batch_benchmarks.json). Strict failure handling remains +the API default. A successful scoring run does not make truncated generations complete. + +Concurrency 128 and 256 were compared on a 256-page pilot; the selected settings +above were then checked on the full batch. The earlier full single-pass sweep reached +15.09 pages/s at 256. These are measured serving profiles, not a throughput ceiling. +Sampling is nonzero: changed batching can change output lengths and crop counts. +The receipt includes request and completion-token totals for each run. +Stages share one bounded client request window. In the pipelined runner, crops +receive available slots while independent full-page/detection requests continue. +Stage spans overlap; adding them does not produce elapsed time. Queue averages +include pipeline ramp-up and final drain, so mean running-request counts need not +equal the configured limit. + +### Quality and the reference output contract + +| Previous guarded merge, pipelined | Official overall (%) | +| --- | ---: | +| Single | 72.79 | +| Double | 73.28 | +| Triple | 73.48 | + +Each full-run output shown here was freshly scored on all 2,078 pages with the +pinned official scorer +`9af4102e26b51f234ab5f037e19fec05c0696ec6`, with all 241 Python source hashes +verified and zero official scoring errors. Capped generations are included in scoring. + +The pinned reference merge can retain an original Table/Chart block and an +overlapping crop alternative when their text differs. The chart evaluator searches +rendered tables for the best matching data. The previous guarded policy uses +replacement and rejects overlapping same-class crop additions; raw alternatives +remain in `stages.crops` for inspection. + +A controlled replay of identical baseline triple responses scored 73.44 +with the previous guarded merge and 75.19 with reference-style merging of +the same completed crops. The latter inserted 1,660 overlapping alternative blocks. +This identified the output contract as the cause of the score gap. Package +3.5.0.post5 restores alternatives as the default, keeping the faster scheduler. +Use the separately pinned reproduction pipeline for the exact headline 75.20 +contract. The receipt includes category metrics and the merge-only replay checks. + +## Accuracy restoration with the faster scheduler + +Package 3.5.0.post5 defaults to `merge_policy="alternatives"`. The scheduler, +model settings, region selection and chart presentation defaults are unchanged. +The merge retains differing full-page/crop hypotheses as the reference does; +it adds no model calls. `merge_policy="guarded"` remains available explicitly. + +Fresh model inference on all 2,078 pages with one H100, the same uni/FA3/MTP server +profile, and prepared inputs produced: + +| Pipeline | Concurrency | Pages/s | Elapsed | Official overall (%) | Fully completed pages | +| --- | ---: | ---: | ---: | ---: | ---: | +| Double | 256 | 11.64 | 178.5 s | 74.92 | 2043/2078 | +| Triple | 128 | 10.61 | 195.8 s | 75.20 | 2038/2078 | + +Timing includes crop preparation and merge/rendering. Preparation, startup, warmup +and serialization are excluded; the receipt also reports serialization-inclusive +and fully completed-page rates. These diagnostic runs explicitly used +`allow_partial=True`; token-limit cases remain marked incomplete. + +The same saved responses from the earlier staged and pipelined runs were also +rescored with the restored merge. This isolates the merge from generation: + +| Saved responses | Guarded overall (%) | Alternatives overall (%) | +| --- | ---: | ---: | +| Double Staged | 73.25 | 74.88 | +| Double Pipelined | 73.28 | 74.96 | +| Triple Staged | 73.51 | 75.23 | +| Triple Pipelined | 73.48 | 75.23 | + +All six outputs were freshly scored on 2,078 unique pages with the pinned official +scorer and all 241 source hashes verified, with zero official scoring errors. +Batching at nonzero temperature can change individual responses; this does not +establish bit-identical generations or a guarantee for every document. + +The reference-compatible score includes alternative tables/charts. The evaluator +can match the best alternative, so score recovery does not prove that a single +chosen transcription is equally accurate. The alternatives are present in the +actual returned document and its raw stages. Use the guarded policy for a more +compact document when that tradeoff fits the application. + +See [the restoration receipt](../reference/validation/accuracy_restoration.json) for category +scores, generation coverage, exact settings, request/token counts, hashes and +controlled replay results. + + +## Inference throughput with prepared pages + +For prediction throughput, use `result.metrics["inference_pages_per_second"]` +(package 3.5.0.post6 or later). Its wall clock runs from the first model request +start to the last model response across all passes. It includes server queueing, +image encoding inside the server, generation, HTTP transfer and any gaps waiting +for predicted-region selection, crop encoding or dispatch. It excludes initial +page preparation, startup/warmup, final merge/rendering after inference, and writes. +`pipeline_seconds` and `processed_pages_per_second` retain their earlier meanings, +including merge/rendering, for applications that need complete documents. +Concurrent rendering can still compete for CPU during inference; that observed +contention remains in the wall time. We do not subtract overlapping CPU time or +sum concurrent request latencies to claim a higher rate. + +The fastest observed profiles compatible with the restored output quality are: + +| Pipeline | Concurrency | Schedule | Prediction pages/s | Inference wall time | Fully completed pages | +| --- | ---: | --- | ---: | ---: | ---: | +| Single | 256 | Staged | **15.42** | 134.78 s | 2045/2078 | +| Double | 256 | Pipelined | **11.65** | 178.35 s | 2043/2078 | +| Triple | 128 | Pipelined | **10.62** | 195.70 s | 2038/2078 | + +These use 2,078 unique prepared ParseBench page images on one H100 80GB and the +same uni/FA3/MTP serving profile. The single-pass measurement predates the merge +restoration; it has no crops and is unaffected by that merge change. Its saved +stage clock includes executor setup/teardown and is slightly conservative. +Double/triple times are reconstructed exactly from saved stage start/end spans, +including gaps between calls. These are existing measured runs, not a new GPU +run of the timing-only post6 release. See the [timing receipt](../reference/validation/inference_benchmarks.json). + +The earlier guarded-merge runs reached 11.88/10.91 prediction pages/s for +double/triple, respectively, but had the lower scores documented above. Use the +restored profiles when comparing speed while preserving the reference output +contract. The restored double/triple scores are 74.92/75.20. + +This is realistic batch prediction throughput when pages are prepared ahead of +time and enough work is queued. It is not PDF ingestion throughput or single-page +latency, and is not a measured hardware ceiling. Document complexity, generation +length, crop count, CPU capacity, network placement and batching affect speed. +The numerator includes token-limited pages; these diagnostic runs explicitly +allow partial output. Use `complete_inference_pages_per_second` for the number +of fully completed pages divided by the same wall time. Strict errors remain the +default outside these diagnostic runs. + +```python +prepared = parser.prepare(page_images, workers=8) # outside inference clock +result = parser.parse_prepared( + prepared, mode="triple", concurrency=128, postprocess_workers=8, +) +print(result.metrics["inference_seconds"]) +print(result.metrics["inference_pages_per_second"]) +``` + +For double pass, use `mode="double", concurrency=256`. The measured fastest +single-pass profile uses `mode="single", concurrency=256, schedule="staged"`; +a single-pass pipelined run at concurrency 128 measured 14.92 prediction pages/s. +A pipelined single-pass run at concurrency 256 has not been measured here. diff --git a/docs/serving.md b/docs/serving.md new file mode 100644 index 0000000000000000000000000000000000000000..50711e78258bf838bd5569818dc5fdb0743afef7 --- /dev/null +++ b/docs/serving.md @@ -0,0 +1,106 @@ +# Nemotron 3.5 Parse: Transformers and vLLM + +## Installation + +Use Python 3.12 and a fresh environment. + +The reference serving contract is vLLM 0.26.0, Transformers 5.14.1, +huggingface-hub 1.24.0, and BF16 on one NVIDIA H100. The package declares the exact +core dependencies; its `[vllm,client]` extras add serving and the HTTP evaluation +client. See `pyproject.toml` for pinned direct dependencies. + +Download the repository and install its serving extras: + +```bash +python3.12 -m venv .venv +source .venv/bin/activate +python -m pip install "huggingface-hub==1.24.0" +hf download nvidia/Nemotron-3.5-Parse --local-dir nemotron-parse +cd nemotron-parse +export MODEL_REPO="$PWD" +python -m pip install ".[vllm,client]" +python -m pip check +``` + +One-token MTP and the compatible FA3 scheduler are enabled automatically for this model. + +For Transformers-only inference, no Nemotron package is required. Follow the +[Quick Start](../README.md#quick-start) to load the model directly from the Hub. + +## Generation contract + +The recommended prompt is identical in Transformers, vLLM, and evaluation: + +`` + +Use one RGB page per request, temperature 0, top-k 1, repetition penalty 1.1, +`max_tokens=8744`, and `skip_special_tokens=False`. Preserve the coordinate and +class tokens in the raw prediction used by postprocessing and scoring. + +Boxes are normalized to the evaluated image content. Scale x by that image's +width and y by its height; no legacy center-pad inverse is needed. The image +processor accepts dynamically sized pages and applies the exported NaViT +preprocessing configuration. + +## One-token MTP + +`model.safetensors` contains the main model and all four trained MTP tensors. +No auxiliary weight sidecar is required. The model has **630,800,496 unique +trainable parameters**, including **2,099,200 MTP parameters**. The decoder +embedding and LM head share weights and are counted once. Eight stored scalar +buffers are excluded from the parameter count. + +Transformers generation uses the normal decoder. vLLM enables the trained +one-token proposer automatically; it shares the decoder embedding and output +head. + +```bash +vllm serve "$MODEL_REPO" \ + --served-model-name nemotron-parse \ + --trust-remote-code \ + --dtype bfloat16 \ + --distributed-executor-backend uni \ + --tensor-parallel-size 1 \ + --data-parallel-size 1 \ + --max-model-len 16384 \ + --max-num-seqs 192 \ + --max-num-batched-tokens 16384 \ + --no-enable-prefix-caching \ + --limit-mm-per-prompt '{"image":1}' \ + --attention-config '{"flash_attn_version":3}' \ + --chat-template "$MODEL_REPO/chat_template.jinja" \ + --host 127.0.0.1 \ + --port 8000 +``` + +This is the reference H100 throughput profile. Reduce `--max-num-seqs` when +using a GPU with less memory. Set `NP_VLLM_MTP=0` before startup to run the matched normal-decoding path. Clients use `model="nemotron-parse"`, matching +the served model name. Startup must show MTP with one speculative token; vLLM's +`SpecDecoding metrics` report its measured draft acceptance during generation. + +## Verification and references + +The current prepared-batch inference and official scoring records are in the +[validation receipts](../reference/validation/). The +[reference reproduction records](../reference/README.md) retain their pinned +model, runtime and page-set contracts. See +[runtime metadata](../reference/model/runtime_compatibility.json) and +[package evidence](../reference/package/README.md) for artifact identities and +verification scope. + +Set `NP_VLLM_MTP=0` before starting vLLM to use normal decoding. + + +### Docker alternative + +From the downloaded folder, run the included Compose recipe: + +```bash +docker compose up --build +``` + +Use the OpenAI-compatible client in the [Quick Start](../README.md#quick-start). Container verification details are in [reference/README.md](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/reference/README.md). + +### HTTP client + +See [vllm_example.py](../vllm_example.py) for an OpenAI-compatible HTTP client. diff --git a/eval/router_ablation.png b/eval/router_ablation.png new file mode 100644 index 0000000000000000000000000000000000000000..d7a6f90c2a2764bf5c7bb3e416a125c12a6273de Binary files /dev/null and b/eval/router_ablation.png differ diff --git a/eval/sample_chart.png b/eval/sample_chart.png new file mode 100644 index 0000000000000000000000000000000000000000..931090d67dc08f7f71f40c5a1a76c5d92cd4c006 Binary files /dev/null and b/eval/sample_chart.png differ diff --git a/eval/sample_table.png b/eval/sample_table.png new file mode 100644 index 0000000000000000000000000000000000000000..c07388451d4d64e36156bc5117573e7d927bf645 Binary files /dev/null and b/eval/sample_table.png differ diff --git a/eval/synthetic_eval.png b/eval/synthetic_eval.png new file mode 100644 index 0000000000000000000000000000000000000000..de6ab43f3bf603b8055e389538c277c82ea18086 Binary files /dev/null and b/eval/synthetic_eval.png differ diff --git a/explainability.md b/explainability.md new file mode 100644 index 0000000000000000000000000000000000000000..ba9f39a001cfeb8ef847d32862198fbc11eb6885 --- /dev/null +++ b/explainability.md @@ -0,0 +1,15 @@ +## Explainability + +Field | Response +:---- | :---- +Intended Task/Domain: | Document understanding, OCR, layout parsing, table extraction, and text extraction with spatial grounding. +Model Type: | Transformer-based vision-encoder-decoder model. +Intended Users: | Developers and teams building document intelligence, retrieval-augmented generation (RAG), data-curation, extraction, and multimodal agent workflows. +Output: | Structured text containing document element classes, bounding boxes, reading-order information, chart/table annotations, and extracted text. +Describe how the model works: | Nemotron 3.5 Parse encodes a dynamically sized document image with C-RADIOv4-SO400M, compresses the visual features with a neck, and places them before the OCR prompt as a causal prefix to a 10-layer mBART decoder. The decoder uses grouped-query self-attention and produces structured document annotations with content-normalized boxes. The 72,505-token tokenizer includes multilingual, task-control, and chart-aware tokens such as ``. +Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable +Technical Limitations & Mitigation: | Performance can vary for low-resolution scans, motion blur, handwriting, decorative fonts, dense tables, unusual layouts, unsupported languages or scripts, and documents with heavy compression artifacts. Users should evaluate outputs on representative documents and use human review for high-impact workflows. +Verified to have met prescribed NVIDIA quality standards: | Yes +Performance Metrics: | OCR accuracy, layout/class accuracy, table extraction quality, chart extraction quality, reading-order quality, grounding quality, latency, throughput, and qualitative visual inspection. +Potential Known Risks: | The model may miss text, hallucinate structure, assign incorrect classes, produce inaccurate bounding boxes, or incorrectly order elements. Downstream systems should treat output as model-generated extraction results and apply validation, confidence checks, and human review where appropriate. +Licensing: | Governing Terms: Your use of this model is governed by the [OpenMDW License Agreement, version 1.1](https://openmdw.ai/license/1-1/). Use of the tokenizer included in this model is governed by the [MIT license and tokenizer attribution](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/TOKENIZER_ATTRIBUTION.md). See [third-party notices](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/THIRD_PARTY_NOTICES.md) for separately installed dependencies. diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000000000000000000000000000000000000..86ee2d8e3d14c0fb43b2645b2f343ff4c0ad245f --- /dev/null +++ b/generation_config.json @@ -0,0 +1,13 @@ +{ + "_from_model_config": true, + "bos_token_id": 0, + "decoder_start_token_id": 2, + "eos_token_id": 2, + "forced_eos_token_id": 2, + "pad_token_id": 1, + "transformers_version": "5.6.1", + "max_new_tokens": 9000, + "do_sample": false, + "num_beams": 1, + "repetition_penalty": 1.1 +} \ No newline at end of file diff --git a/hf_logits_processor.py b/hf_logits_processor.py new file mode 100644 index 0000000000000000000000000000000000000000..484182ee1c8fa710f5c5d7f037572d230f5c9cc5 --- /dev/null +++ b/hf_logits_processor.py @@ -0,0 +1,352 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +""" +LogitsProcessors for document parsing models. + +Contains: +- TableInsertionLogitsProcessor: Forces table structure insertion after coordinates +- RepetitionStopProcessor: Detects repetition/hallucination and forces coordinate tokens +""" + +import torch +from collections import Counter +from transformers import LogitsProcessor +from typing import Set, List, Tuple + + +class TableInsertionLogitsProcessor(LogitsProcessor): + """ + A LogitsProcessor that inserts \begin{tabular} tokens after coordinate pairs + that mark the START of an object (not the END coordinates). + + Pattern: CONTENT + + This processor triggers after the first pair (start coords), + but not after the second pair (end coords). + + Args: + tokenizer: The tokenizer used for encoding/decoding + table_prefix: The string to insert (default: "\\begin{tabular}") + """ + + def __init__( + self, + tokenizer, + table_prefix: str = "\\begin{tabular}" + ): + self.tokenizer = tokenizer + self.table_prefix = table_prefix + + # Tokenize the table prefix to get the sequence of tokens to force + self.table_prefix_ids = tokenizer.encode( + table_prefix, + add_special_tokens=False + ) + + # Build sets of token IDs for detection + self._build_token_sets() + + # State tracking for forced insertion + self._insertion_position = {} # batch_idx -> position in table_prefix_ids + self._insertion_active = {} # batch_idx -> bool + + # State tracking for coordinate pairs + # False = expecting START coordinates (should trigger) + # True = expecting END coordinates (should NOT trigger) + self._expecting_end_coords = {} # batch_idx -> bool + + def _build_token_sets(self): + """Build sets of token IDs for x_, y_, class_, and special tokens.""" + vocab = self.tokenizer.get_vocab() + + # Collect all x_ coordinate tokens + self.x_token_ids: Set[int] = set() + for token, token_id in vocab.items(): + if token.startswith(""): + self.x_token_ids.add(token_id) + + # Collect all y_ coordinate tokens + self.y_token_ids: Set[int] = set() + for token, token_id in vocab.items(): + if token.startswith(""): + self.y_token_ids.add(token_id) + + # Collect all class tokens + self.class_token_ids: Set[int] = set() + for token, token_id in vocab.items(): + if token.startswith(""): + self.class_token_ids.add(token_id) + + def _is_xy_pair(self, input_ids: torch.Tensor, batch_idx: int) -> bool: + """Check if the sequence ends with .""" + seq = input_ids[batch_idx].tolist() + + if len(seq) < 2: + return False + + return seq[-1] in self.y_token_ids and seq[-2] in self.x_token_ids + + def _last_token_is_class(self, input_ids: torch.Tensor, batch_idx: int) -> bool: + """Check if the last token is a token.""" + seq = input_ids[batch_idx].tolist() + + if len(seq) < 1: + return False + + return seq[-1] in self.class_token_ids + + def reset(self): + """Reset the processor state for a new generation.""" + self._insertion_position = {} + self._insertion_active = {} + self._expecting_end_coords = {} + + def __call__( + self, + input_ids: torch.LongTensor, + scores: torch.FloatTensor + ) -> torch.FloatTensor: + """ + Process logits to force table prefix insertion when appropriate. + + Args: + input_ids: (batch_size, seq_len) - tokens generated so far + scores: (batch_size, vocab_size) - logits for next token + + Returns: + Modified scores with forced tokens where appropriate + """ + batch_size = input_ids.shape[0] + + for batch_idx in range(batch_size): + # Check if we're currently in an insertion sequence + if self._insertion_active.get(batch_idx, False): + pos = self._insertion_position[batch_idx] + + if pos < len(self.table_prefix_ids): + # Force the next token in the sequence + forced_token_id = self.table_prefix_ids[pos] + scores[batch_idx] = torch.full_like(scores[batch_idx], float('-inf')) + scores[batch_idx, forced_token_id] = 0.0 + + # Advance position + self._insertion_position[batch_idx] = pos + 1 + else: + # Finished inserting, deactivate + self._insertion_active[batch_idx] = False + continue + + # Check if we just saw a token - reset state to expect START coords + if self._last_token_is_class(input_ids, batch_idx): + self._expecting_end_coords[batch_idx] = False + + # Check if we have an pair + if self._is_xy_pair(input_ids, batch_idx): + expecting_end = self._expecting_end_coords.get(batch_idx, False) + + if not expecting_end: + # This is START coordinates - trigger insertion! + self._insertion_active[batch_idx] = True + self._insertion_position[batch_idx] = 0 + + # After START coords, we expect END coords next + self._expecting_end_coords[batch_idx] = True + + # Force the first token + if len(self.table_prefix_ids) > 0: + forced_token_id = self.table_prefix_ids[0] + scores[batch_idx] = torch.full_like(scores[batch_idx], float('-inf')) + scores[batch_idx, forced_token_id] = 0.0 + self._insertion_position[batch_idx] = 1 + else: + # This is END coordinates - don't trigger, but reset for next object + # The token will come next, which resets expecting_end_coords + pass + + return scores + + +class RepetitionStopProcessor(LogitsProcessor): + """ + A LogitsProcessor that detects CONSECUTIVE repetition/hallucination in generated + content and forces the model to output tokens to close the current object. + + This detects patterns like: + - ... (same token repeating consecutively) + - "ABC ABC ABC ABC..." (same phrase repeating consecutively) + + But NOT patterns like: + - "& 1 & 2 & 3 & 4..." (delimiters with different content between them) + + When consecutive repetition exceeds the threshold, the processor forces an + token to start coordinates, effectively ending the current content. After triggering, + it enters a cooldown until a token is seen (indicating the object was + closed properly). + + Args: + tokenizer: The tokenizer used for encoding/decoding + max_repetitions: Max consecutive repetitions before forcing stop (default: 10) + ngram_sizes: List of n-gram sizes to check for repetition (default: [1, 2, 3, 4, 5]) + window_size: Size of the sliding window to check for repetitions (default: 2 * max_ngram * (max_repetitions + 1)) + """ + + def __init__( + self, + tokenizer, + max_repetitions: int = 10, + ngram_sizes: List[int] = None, + window_size: int | None = None + ): + self.tokenizer = tokenizer + self.max_repetitions = max_repetitions + # Check various n-gram sizes for consecutive repetition + # n=1 catches single token repetition like ... + # n=2,3,4,5 catch phrase repetition like "ABC ABC ABC..." + self.ngram_sizes = ngram_sizes if ngram_sizes is not None else [1, 2, 3, 4, 5] + max_ngram = max((n for n in self.ngram_sizes if n > 0), default=1) + default_window = 2 * max_ngram * (self.max_repetitions + 1) + self.window_size = int(window_size) if window_size is not None else int(default_window) + + # Build set of token IDs + self._build_token_sets() + + # State tracking - once triggered, stay in cooldown until we see + self._in_cooldown = {} # batch_idx -> bool + # Track the start of the "current object segment" (tokens after the last ) + # We only look for repetition inside this segment to avoid old repetition re-triggering immediately. + self._segment_start = {} # batch_idx -> int (seq index) + + def _build_token_sets(self): + """Build sets of token IDs for detection.""" + vocab = self.tokenizer.get_vocab() + + # Collect all x_ coordinate tokens + self.x_token_ids: Set[int] = set() + self.x_token_list: List[int] = [] + for token, token_id in vocab.items(): + if token.startswith(""): + self.x_token_ids.add(token_id) + self.x_token_list.append(token_id) + + # Sort and pick a middle x token as default + self.x_token_list.sort() + self.default_x_token = self.x_token_list[len(self.x_token_list) // 2] if self.x_token_list else None + + # Collect all class tokens (used to reset cooldown) + self.class_token_ids: Set[int] = set() + for token, token_id in vocab.items(): + if token.startswith(""): + self.class_token_ids.add(token_id) + + def _count_consecutive_repetitions(self, seq: List[int], n: int) -> int: + """ + Count the maximum number of times an n-gram repeats CONSECUTIVELY. + + For example, if seq contains "ABC ABC ABC ABC DEF ABC": + - The n-gram "ABC" appears 4 times consecutively at the start + - Returns 4 (the max consecutive count) + + Returns: + Maximum consecutive repetition count for any n-gram + """ + if len(seq) < n: + return 0 + + max_consecutive = 1 + current_consecutive = 1 + + # Slide through the sequence comparing adjacent n-grams + prev_ngram = tuple(seq[0:n]) + + i = n + while i <= len(seq) - n: + current_ngram = tuple(seq[i:i + n]) + + if current_ngram == prev_ngram: + current_consecutive += 1 + max_consecutive = max(max_consecutive, current_consecutive) + i += n # Skip by n to check the next occurrence + else: + current_consecutive = 1 + prev_ngram = current_ngram + i += 1 # Move by 1 to find new patterns + + return max_consecutive + + def _has_excessive_repetition(self, seq: List[int]) -> bool: + """ + Check if the sequence has excessive CONSECUTIVE repetition of any n-gram. + + This detects hallucination patterns like: + - ... (same token repeating) + - "ABC ABC ABC ABC..." (same phrase repeating) + + But NOT patterns like: + - "& 1 & 2 & 3 & 4..." (delimiters with different content) + + Returns: + True if any n-gram repeats consecutively more than max_repetitions times + """ + # Only check the recent window + check_seq = seq[-self.window_size:] if len(seq) > self.window_size else seq + + for n in self.ngram_sizes: + consecutive_count = self._count_consecutive_repetitions(check_seq, n) + if consecutive_count > self.max_repetitions: + return True + + return False + + def reset(self): + """Reset the processor state for a new generation.""" + self._in_cooldown = {} + self._segment_start = {} + + def __call__( + self, + input_ids: torch.LongTensor, + scores: torch.FloatTensor + ) -> torch.FloatTensor: + """ + Process logits to force token when repetition is detected. + + Args: + input_ids: (batch_size, seq_len) - tokens generated so far + scores: (batch_size, vocab_size) - logits for next token + + Returns: + Modified scores with forced tokens where repetition detected + """ + batch_size = input_ids.shape[0] + + for batch_idx in range(batch_size): + seq = input_ids[batch_idx].tolist() + seq_len = len(seq) + + # Check if we just saw a class token - reset cooldown and start a new segment + if seq_len > 0 and seq[-1] in self.class_token_ids: + self._in_cooldown[batch_idx] = False + self._segment_start[batch_idx] = seq_len + + # If in cooldown, don't check for repetition (let model generate naturally) + if self._in_cooldown.get(batch_idx, False): + continue + + # Check if repetition threshold is exceeded + segment_start = self._segment_start.get(batch_idx, 0) + segment_seq = seq[segment_start:] + if self._has_excessive_repetition(segment_seq): + # Enter cooldown to avoid repeated triggering + self._in_cooldown[batch_idx] = True + + # Force one of the tokens to start closing the object + # Keep the model's original preferences for which x_ coordinate to use + original_scores = scores[batch_idx].clone() + scores[batch_idx] = torch.full_like(scores[batch_idx], float('-inf')) + + # Restore original logits for x_ tokens only + for x_token_id in self.x_token_ids: + scores[batch_idx, x_token_id] = original_scores[x_token_id] + + return scores diff --git a/hf_nemotron_parse_config.py b/hf_nemotron_parse_config.py new file mode 100644 index 0000000000000000000000000000000000000000..7c9a5913c84d25672920fb08dc92f96161604b9c --- /dev/null +++ b/hf_nemotron_parse_config.py @@ -0,0 +1,133 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +from transformers import PretrainedConfig +from typing import List, Optional + + +class NemotronParseTextConfig(PretrainedConfig): + """ + Configuration class for NemotronParse text decoder (mBART-based). + """ + model_type = "nemotron_parse_text" + + def __init__( + self, + vocab_size: int = 250027, + d_model: int = 1024, + encoder_layers: int = 12, + decoder_layers: int = 12, + encoder_attention_heads: int = 16, + decoder_attention_heads: int = 16, + decoder_ffn_dim: int = 4096, + encoder_ffn_dim: int = 4096, + activation_function: str = "gelu", + dropout: float = 0.1, + attention_dropout: float = 0.0, + activation_dropout: float = 0.0, + classifier_dropout: float = 0.0, + init_std: float = 0.02, + encoder_layerdrop: float = 0.0, + decoder_layerdrop: float = 0.0, + scale_embedding: bool = False, + use_cache: bool = True, + num_labels: int = 3, + forced_eos_token_id: int = 2, + add_cross_attention: bool = True, # Enable cross-attention for vision-encoder-decoder + is_decoder: bool = True, # This is a decoder + max_sequence_length: int = 9000, + **kwargs + ): + super().__init__(**kwargs) + self.vocab_size = vocab_size + self.d_model = d_model + self.encoder_layers = encoder_layers + self.decoder_layers = decoder_layers + self.encoder_attention_heads = encoder_attention_heads + self.decoder_attention_heads = decoder_attention_heads + self.decoder_ffn_dim = decoder_ffn_dim + self.encoder_ffn_dim = encoder_ffn_dim + self.activation_function = activation_function + self.dropout = dropout + self.attention_dropout = attention_dropout + self.activation_dropout = activation_dropout + self.classifier_dropout = classifier_dropout + self.init_std = init_std + self.encoder_layerdrop = encoder_layerdrop + self.decoder_layerdrop = decoder_layerdrop + self.scale_embedding = scale_embedding + self.use_cache = use_cache + self.num_labels = num_labels + self.add_cross_attention = add_cross_attention + self.is_decoder = is_decoder + + # Add hidden_size as alias for d_model (for compatibility) + self.hidden_size = self.d_model + self.forced_eos_token_id = forced_eos_token_id + self.num_attention_heads = self.encoder_attention_heads + + self.max_sequence_length = max_sequence_length + + +class NemotronParseConfig(PretrainedConfig): + """ + Configuration class for NemotronParse model. + + This configuration class is used to store the configuration of a [`NemotronParseForConditionalGeneration`] model. + It is used to instantiate an NemotronParse model according to the specified arguments, defining the vision and text model configs. + """ + model_type = "nemotron_parse" + is_composition = True + max_sequence_length = 9000 + + def __init__( + self, + encoder: Optional[dict] = None, + decoder: Optional[dict] = None, + tie_word_embeddings: bool = False, + decoder_start_token_id: int = 2, + pad_token_id: int = 1, + eos_token_id: int = 2, + bos_token_id: int = 0, + image_size: List[int] = [2048, 1664], + is_encoder_decoder: bool = True, + max_sequence_length: int = 9000, + **kwargs + ): + super().__init__( + tie_word_embeddings=tie_word_embeddings, + decoder_start_token_id=decoder_start_token_id, + pad_token_id=pad_token_id, + eos_token_id=eos_token_id, + bos_token_id=bos_token_id, + max_sequence_length=max_sequence_length, + **kwargs + ) + + + if decoder is None: + decoder = {} + + # Encoder tensors and architecture are part of this release. Avoid + # importing a second model repository while constructing the config. + self.encoder = PretrainedConfig(**(encoder or {})) + + decoder["max_sequence_length"] = max_sequence_length + self.decoder = NemotronParseTextConfig(**decoder) + self.image_size = image_size + + # Initialize vocab size from text config + self.vocab_size = self.decoder.vocab_size + self.is_encoder_decoder = is_encoder_decoder + self.max_sequence_length = max_sequence_length + + def to_dict(self): + """ + Serializes this instance to a Python dictionary. Override the default [`~PretrainedConfig.to_dict`]. + """ + output = super().to_dict() + output["encoder"] = self.encoder.to_dict() + output["decoder"] = self.decoder.to_dict() + output["model_type"] = self.model_type + output["is_encoder_decoder"] = self.is_encoder_decoder + return output diff --git a/hf_nemotron_parse_modeling.py b/hf_nemotron_parse_modeling.py new file mode 100644 index 0000000000000000000000000000000000000000..82e06070c4431836d2f0f90ef9d68c35e1fdf3cb --- /dev/null +++ b/hf_nemotron_parse_modeling.py @@ -0,0 +1,275 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Native Transformers inference for Nemotron 3.5 Parse. + +The complete C-RADIOv4-SO400M encoder, content-normalized NaViT geometry, +causal mBART visual prefix, and trained one-step MTP tensors are loaded from +this checkpoint. No second encoder model or remote encoder code is fetched. +""" + +import math +from functools import partial + +import torch +from torch import nn +from torch.nn import functional as F +from timm.models.vision_transformer import Block +from transformers import GenerationMixin, PreTrainedModel +from transformers.cache_utils import DynamicCache +from transformers.modeling_outputs import CausalLMOutputWithPast + +from .hf_nemotron_parse_config import NemotronParseConfig +from .hf_prefix_geometry import _normalized_2d_position_pages + + +class _ClassTokens(nn.Module): + def __init__(self): + super().__init__() + self.token = nn.Parameter(torch.empty(10, 1152)) + + +class _PatchGenerator(nn.Module): + def __init__(self): + super().__init__() + self.cls_token = _ClassTokens() + self.embedder = nn.Linear(768, 1152, bias=False) + self.pos_embed = nn.Parameter(torch.empty(1, 16384, 1152)) + + +class _VisionTransformer(nn.Module): + def __init__(self): + super().__init__() + self.patch_generator = _PatchGenerator() + self.blocks = nn.ModuleList([ + Block(1152, 16, mlp_ratio=4304 / 1152, qkv_bias=True, + norm_layer=partial(nn.LayerNorm, eps=1e-6)) + for _ in range(27) + ]) + + def forward(self, patches, image_size, content_size): + pg = self.patch_generator + patches = pg.embedder(patches).unsqueeze(0) + patches = _normalized_2d_position_pages( + torch, patches=patches, pos_embed=pg.pos_embed, + source_rows=128, source_cols=128, image_sizes=[image_size], + patch_size=16, content_sizes=[content_size], content_normalized=True, + ) + hidden = torch.cat((pg.cls_token.token.unsqueeze(0), patches), dim=1) + for block in self.blocks: + hidden = block(hidden) + return hidden + + +class _InputConditioner(nn.Module): + def __init__(self): + super().__init__() + self.register_buffer("norm_mean", torch.zeros(3, 1, 1)) + self.register_buffer("norm_std", torch.ones(3, 1, 1)) + + +class _RadioModel(nn.Module): + def __init__(self): + super().__init__() + self.register_buffer("summary_idxs", torch.tensor([0, 1])) + self.input_conditioner = _InputConditioner() + self.model = _VisionTransformer() + + +class _RadioWrapper(nn.Module): + def __init__(self): + super().__init__() + self.radio_model = _RadioModel() + + +class RadioWithNeck(nn.Module): + def __init__(self, config): + super().__init__() + self.model_encoder = _RadioWrapper() + self.conv1 = nn.Conv1d(1152, 1024, 1) + self.layer_norm1 = nn.LayerNorm(1024, eps=1e-6) + self.conv2 = nn.Conv2d(1024, 1024, (1, 4), stride=(1, 4), bias=False) + self.layer_norm2 = nn.LayerNorm(1024, eps=1e-6) + self.sum_proj = nn.Linear(2304, 1024) + self.layer_norm3 = nn.LayerNorm(1024, eps=1e-6) + + def forward(self, pixel_values, image_sizes, content_sizes): + # The shipped processor has already applied CLIP normalization and + # flattened each 16x16 patch in channel/row/column order. + if image_sizes is None or content_sizes is None: + raise ValueError("Packed inference requires image_sizes and content_sizes from AutoProcessor") + if pixel_values.ndim == 3 and pixel_values.shape[0] == 1: + pixel_values = pixel_values[0] + if pixel_values.ndim != 2 or pixel_values.shape[1] != 768: + raise ValueError(f"Expected packed raw patches [patches,768], got {tuple(pixel_values.shape)}") + pixel_values = pixel_values.to(dtype=self.conv1.weight.dtype) + pages, cursor = [], 0 + radio = self.model_encoder.radio_model + for size, content in zip(image_sizes.tolist(), content_sizes.tolist()): + height, width = map(int, size) + count = (height // 16) * (width // 16) + hidden = radio.model(pixel_values[cursor:cursor + count], size, content) + cursor += count + summary = hidden[:, radio.summary_idxs].flatten(1) + features = hidden[:, 10:] + features = self.layer_norm1(self.conv1(features.transpose(1, 2)).transpose(1, 2)) + features = features.transpose(1, 2).reshape(1, 1024, height // 16, width // 16) + features = self.conv2(features).flatten(2).transpose(1, 2) + features = self.layer_norm2(features) + summary = self.layer_norm3(self.sum_proj(summary)).unsqueeze(1) + pages.append(torch.cat((features, summary), dim=1)[0]) + if cursor != len(pixel_values): + raise ValueError("Image metadata did not consume all packed patches") + max_length = max(len(page) for page in pages) + output = pages[0].new_zeros(len(pages), max_length, 1024) + mask = torch.zeros(len(pages), max_length, device=output.device, dtype=torch.bool) + for i, page in enumerate(pages): + output[i, :len(page)] = page + mask[i, :len(page)] = True + return output, mask + + +class _ScaledEmbedding(nn.Embedding): + def __init__(self, config): + super().__init__(config.vocab_size, config.d_model, padding_idx=config.pad_token_id) + self.embed_scale = math.sqrt(config.d_model) if config.scale_embedding else 1.0 + + def forward(self, ids): + return super().forward(ids) * self.embed_scale + + +class _GQAAttention(nn.Module): + def __init__(self, config, index): + super().__init__() + self.index = index + self.num_heads = config.decoder_attention_heads + self.num_kv_heads = config.self_attention_kv_heads + self.head_dim = config.d_model // self.num_heads + self.q_proj = nn.Linear(config.d_model, config.d_model) + self.k_proj = nn.Linear(config.d_model, self.num_kv_heads * self.head_dim) + self.v_proj = nn.Linear(config.d_model, self.num_kv_heads * self.head_dim) + self.out_proj = nn.Linear(config.d_model, config.d_model) + + def forward(self, hidden, cache, key_mask): + batch, length, _ = hidden.shape + q = self.q_proj(hidden).view(batch, length, self.num_heads, self.head_dim).transpose(1, 2) + k = self.k_proj(hidden).view(batch, length, self.num_kv_heads, self.head_dim).transpose(1, 2) + v = self.v_proj(hidden).view(batch, length, self.num_kv_heads, self.head_dim).transpose(1, 2) + if cache is not None: + k, v = cache.update(k, v, self.index) + past = k.shape[-2] - length + allowed = torch.arange(k.shape[-2], device=hidden.device)[None, :] <= ( + torch.arange(length, device=hidden.device)[:, None] + past + ) + allowed = allowed[None, None] & key_mask[:, None, None, :] + repeat = self.num_heads // self.num_kv_heads + output = F.scaled_dot_product_attention( + q, k.repeat_interleave(repeat, dim=1), v.repeat_interleave(repeat, dim=1), + attn_mask=allowed, dropout_p=0.0, + ) + return self.out_proj(output.transpose(1, 2).reshape(batch, length, -1)) + + +class _DecoderLayer(nn.Module): + def __init__(self, config, index): + super().__init__() + self.self_attn = _GQAAttention(config, index) + self.self_attn_layer_norm = nn.LayerNorm(config.d_model) + self.final_layer_norm = nn.LayerNorm(config.d_model) + self.fc1 = nn.Linear(config.d_model, config.decoder_ffn_dim) + self.fc2 = nn.Linear(config.decoder_ffn_dim, config.d_model) + + def forward(self, hidden, cache, mask): + hidden = hidden + self.self_attn(self.self_attn_layer_norm(hidden), cache, mask) + return hidden + self.fc2(F.gelu(self.fc1(self.final_layer_norm(hidden)))) + + +class NemotronParseDecoder(nn.Module): + def __init__(self, config, num_extra_heads): + super().__init__() + self.embed_tokens = _ScaledEmbedding(config) + self.layers = nn.ModuleList([_DecoderLayer(config, i) for i in range(config.decoder_layers)]) + self.layernorm_embedding = nn.LayerNorm(config.d_model) + self.layer_norm = nn.LayerNorm(config.d_model) + self.extra_heads = nn.ModuleList([nn.Linear(config.d_model, config.d_model) for _ in range(num_extra_heads)]) + self.extra_proj = nn.ModuleList([nn.Linear(config.d_model, config.d_model) for _ in range(num_extra_heads)]) + + def forward(self, embeddings, cache, mask): + hidden = self.layernorm_embedding(embeddings) + for layer in self.layers: + hidden = layer(hidden, cache, mask) + return self.layer_norm(hidden) + + +class NemotronParseForConditionalGeneration(PreTrainedModel, GenerationMixin): + config_class = NemotronParseConfig + main_input_name = "input_ids" + _tied_weights_keys = {"lm_head.weight": "decoder.embed_tokens.weight"} + _no_split_modules = ["RadioWithNeck", "Block", "_DecoderLayer"] + _supports_sdpa = True + + def __init__(self, config): + super().__init__(config) + if not getattr(config, "legacy_causal_vision_prefix", False): + raise ValueError("This release implements the trained causal visual-prefix architecture") + self.encoder = RadioWithNeck(config.encoder) + self.decoder = NemotronParseDecoder(config.decoder, getattr(config, "num_extra_heads", 0)) + self.lm_head = nn.Linear(config.decoder.d_model, config.decoder.vocab_size, bias=False) + self.post_init() + + def get_input_embeddings(self): + return self.decoder.embed_tokens + + def get_output_embeddings(self): + return self.lm_head + + def _tie_weights(self): + self._tie_or_clone_weights(self.lm_head, self.decoder.embed_tokens) + + def forward(self, input_ids=None, decoder_input_ids=None, pixel_values=None, + image_sizes=None, content_sizes=None, attention_mask=None, + past_key_values=None, use_cache=True, return_dict=True, **kwargs): + del kwargs + if input_ids is None: + input_ids = decoder_input_ids + if input_ids is None: + raise ValueError("input_ids are required") + if past_key_values is None and use_cache: + past_key_values = DynamicCache() + past_length = past_key_values.get_seq_length() if past_key_values is not None else 0 + text_embeddings = self.decoder.embed_tokens(input_ids) + text_offset = 0 + if past_length == 0: + if pixel_values is None: + raise ValueError("pixel_values are required for the first generation step") + vision, visual_mask = self.encoder(pixel_values, image_sizes, content_sizes) + embeddings = torch.cat((vision, text_embeddings), dim=1) + text_offset = vision.shape[1] + if past_key_values is not None: + past_key_values._nemotron_visual_mask = visual_mask + else: + embeddings = text_embeddings + visual_mask = past_key_values._nemotron_visual_mask + if attention_mask is None: + text_length = past_length + input_ids.shape[1] - visual_mask.shape[1] + if past_length == 0: + text_length = input_ids.shape[1] + attention_mask = torch.ones(input_ids.shape[0], text_length, device=input_ids.device, dtype=torch.bool) + mask = torch.cat((visual_mask, attention_mask.bool()), dim=1) + if mask.shape[1] > self.config.max_sequence_length: + raise ValueError("Visual prefix plus text exceeds the model context limit") + hidden = self.decoder(embeddings, past_key_values if use_cache else None, mask) + logits = self.lm_head(hidden[:, text_offset:]) + output = CausalLMOutputWithPast(logits=logits, past_key_values=past_key_values if use_cache else None) + return output if return_dict else (output.logits, output.past_key_values) + + def prepare_inputs_for_generation(self, input_ids, past_key_values=None, + attention_mask=None, pixel_values=None, + image_sizes=None, content_sizes=None, **kwargs): + del kwargs + if past_key_values is not None and past_key_values.get_seq_length() > 0: + input_ids = input_ids[:, -1:] + pixel_values = None + return {"input_ids": input_ids, "attention_mask": attention_mask, + "past_key_values": past_key_values, "pixel_values": pixel_values, + "image_sizes": image_sizes, "content_sizes": content_sizes, "use_cache": True} diff --git a/hf_nemotron_parse_processor.py b/hf_nemotron_parse_processor.py new file mode 100644 index 0000000000000000000000000000000000000000..fddd7b113f996e9ea8cbcd9faa14dc32652366c2 --- /dev/null +++ b/hf_nemotron_parse_processor.py @@ -0,0 +1,501 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +import numpy as np +from PIL import Image +from typing import List, Optional, Union, Dict, Any +import torch +from torchvision import transforms as T +import json + +from transformers import BatchFeature, ProcessorMixin, BaseImageProcessor, ImageProcessingMixin +from transformers.image_utils import ChannelDimension, ImageInput, PILImageResampling, infer_channel_dimension_format +from transformers.utils import TensorType + +OPENAI_CLIP_MEAN = (0.48145466, 0.4578275, 0.40821073) +OPENAI_CLIP_STD = (0.26862954, 0.26130258, 0.27577711) + + +from transformers.processing_utils import ImagesKwargs + +class NemotronParseImagesKwargs(ImagesKwargs, total=False): + content_hw: Optional[List[int]] + +class NemotronParseImageProcessor(BaseImageProcessor, ImageProcessingMixin): + """ + Image processor for NemotronParse model. + + This processor inherits from BaseImageProcessor to be compatible with transformers AutoImageProcessor. + """ + + valid_kwargs = NemotronParseImagesKwargs + model_input_names = ["pixel_values", "image_sizes", "content_sizes"] + + def __init__( + self, + final_size: tuple = (2048, 1664), + do_normalize: bool = False, + image_mean: Optional[Union[List[float], tuple]] = None, + image_std: Optional[Union[List[float], tuple]] = None, + **kwargs, + ): + self.navit_packing = bool(kwargs.pop('navit_packing', False)) + self.navit_padding_mode = kwargs.pop('navit_padding_mode', 'top_left_white') + self.navit_coordinate_frame = kwargs.pop('navit_coordinate_frame', 'content_normalized') + clean_kwargs = {} + for k, v in kwargs.items(): + if not k.startswith('_') and k not in ['transform', 'torch_transform']: + clean_kwargs[k] = v + + if 'size' in clean_kwargs: + size_config = clean_kwargs.pop('size') + if isinstance(size_config, dict): + if 'longest_edge' in size_config: + longest_edge = size_config['longest_edge'] + if isinstance(longest_edge, (list, tuple)): + final_size = tuple(int(x) for x in longest_edge) + else: + final_size = (int(longest_edge), int(longest_edge)) + elif 'height' in size_config and 'width' in size_config: + final_size = (int(size_config['height']), int(size_config['width'])) + + super().__init__(**clean_kwargs) + self.do_normalize = bool(do_normalize) + self.image_mean = list(image_mean or OPENAI_CLIP_MEAN) + self.image_std = list(image_std or OPENAI_CLIP_STD) + + if isinstance(final_size, (list, tuple)) and len(final_size) >= 2: + self.final_size = (int(final_size[0]), int(final_size[1])) + elif isinstance(final_size, (int, float)): + self.final_size = (int(final_size), int(final_size)) + else: + self.final_size = (2048, 1664) # Default fallback + + self._create_transforms() + + def _create_transforms(self): + """Create transform objects (not serialized to JSON).""" + if isinstance(self.final_size, (list, tuple)): + self.target_height, self.target_width = int(self.final_size[0]), int(self.final_size[1]) + else: + self.target_height = self.target_width = int(self.final_size) + + self.transform = None + + self.torch_transform = T.Compose([ + T.ToTensor(), + ]) + + def to_dict(self): + """Override to exclude non-serializable transforms.""" + output = super().to_dict() + output.pop('transform', None) + output.pop('torch_transform', None) + return output + + @classmethod + def from_dict(cls, config_dict: dict, **kwargs): + """Override to recreate transforms after loading.""" + config_dict = config_dict.copy() + config_dict.pop('transform', None) + config_dict.pop('torch_transform', None) + + # Clean any problematic entries + for key in list(config_dict.keys()): + if key.startswith('_') or config_dict[key] is None: + config_dict.pop(key, None) + + # Ensure numeric types are correct + if 'final_size' in config_dict: + final_size = config_dict['final_size'] + if isinstance(final_size, (list, tuple)): + config_dict['final_size'] = tuple(int(x) for x in final_size) + if 'image_mean' in config_dict: + config_dict['image_mean'] = [float(x) for x in config_dict['image_mean']] + if 'image_std' in config_dict: + config_dict['image_std'] = [float(x) for x in config_dict['image_std']] + + try: + return cls(**config_dict, **kwargs) + except Exception as e: + print(f"Warning: Error in from_dict: {e}") + print("Using default parameters...") + return cls(**kwargs) + + def save_pretrained(self, save_directory, **kwargs): + """Save image processor configuration.""" + import os + import json + + os.makedirs(save_directory, exist_ok=True) + + # Save preprocessor config in standard HuggingFace format + config = { + "feature_extractor_type": "NemotronParseImageProcessor", + "image_processor_type": "NemotronParseImageProcessor", + "processor_class": "NemotronParseProcessor", + "size": { + "height": self.final_size[0], + "width": self.final_size[1], + "longest_edge": self.final_size + }, + "final_size": self.final_size, + "do_normalize": self.do_normalize, + "navit_packing": self.navit_packing, + "navit_padding_mode": self.navit_padding_mode, + "navit_coordinate_frame": self.navit_coordinate_frame, + "image_mean": self.image_mean, + "image_std": self.image_std, + } + + config_path = os.path.join(save_directory, "preprocessor_config.json") + with open(config_path, 'w') as f: + json.dump(config, f, indent=2) + + def _resize_with_aspect_ratio(self, image: np.ndarray) -> np.ndarray: + """Resize image maintaining aspect ratio (exact replica of original LongestMaxSizeHW).""" + height, width = image.shape[:2] + max_size_height = self.target_height + max_size_width = self.target_width + + # Original LongestMaxSizeHW algorithm from custom_augmentations.py + aspect_ratio = width / height + new_height = height + new_width = width + + if height > max_size_height: + new_height = max_size_height + new_width = int(new_height * aspect_ratio) + + if new_width > max_size_width: + new_width = max_size_width + new_height = int(new_width / aspect_ratio) + + if new_height == height and new_width == width: + return image + resampling = getattr(Image, "Resampling", Image).BILINEAR + return np.asarray(Image.fromarray(image).resize((new_width, new_height), resampling)) + + def _pad_to_size(self, image: np.ndarray) -> np.ndarray: + """Center-pad image to target size with white padding.""" + h, w = image.shape[:2] + min_height, min_width = self.target_height, self.target_width + + pad_h = max(0, min_height - h) + pad_w = max(0, min_width - w) + + if pad_h == 0 and pad_w == 0: + return image + + pad_top = pad_h // 2 + pad_bottom = pad_h - pad_top + pad_left = pad_w // 2 + pad_right = pad_w - pad_left + + if len(image.shape) == 3: + return np.pad( + image, + ((pad_top, pad_bottom), (pad_left, pad_right), (0, 0)), + mode='constant', + constant_values=255, + ) + return np.pad( + image, + ((pad_top, pad_bottom), (pad_left, pad_right)), + mode='constant', + constant_values=255, + ) + + def _pad_to_navit_grid(self, image: np.ndarray) -> np.ndarray: + height, width = image.shape[:2] + target_height = ((height + 15) // 16) * 16 + target_width = ((width + 63) // 64) * 64 + pad_h, pad_w = target_height - height, target_width - width + if not pad_h and not pad_w: + return image + padding = ((0, pad_h), (0, pad_w), (0, 0)) if image.ndim == 3 else ((0, pad_h), (0, pad_w)) + return np.pad(image, padding, mode="constant", constant_values=255) + + def preprocess( + self, + images: ImageInput, + return_tensors: Optional[Union[str, TensorType]] = None, + **kwargs, + ) -> Dict[str, torch.Tensor]: + """ + Preprocess an image or batch of images for the NemotronParse model. + + Args: + images: Input image(s) + return_tensors: Type of tensors to return + """ + + captured_hw = kwargs.pop("content_hw", None) + image_options = kwargs.pop("images_kwargs", {}) or {} + nested_hw = image_options.get("content_hw") + if captured_hw is not None and nested_hw is not None and list(captured_hw) != list(nested_hw): + raise ValueError("conflicting captured content dimensions") + if captured_hw is None: + captured_hw = nested_hw + if captured_hw is not None: + if not self.navit_packing or self.navit_coordinate_frame != "content_normalized": + raise ValueError("loader capture requires content-normalized NaViT") + if self.navit_padding_mode != "top_left_white": + raise ValueError("unsupported captured loader pixel contract") + pages = images if isinstance(images, list) else [images] + if len(pages) != 1 or len(captured_hw) != 2: + raise ValueError("one captured page and [content_height, content_width] required") + pixels = np.array(pages[0].convert("RGB"), copy=True) + height, width = pixels.shape[:2] + ch, cw = (int(value) for value in captured_hw) + if list(captured_hw) != [ch, cw] or not (0 < ch <= height and 0 < cw <= width): + raise ValueError("invalid captured content dimensions") + if height % 16 or width % 64: + raise ValueError("captured canvas is not aligned to the NaViT grid") + page = torch.from_numpy(pixels).permute(2, 0, 1).contiguous().float().div_(255.0) + # Native RADIO normalizes inside its encoder; the vLLM boundary + # expects the equivalent normalization here, as in ordinary serving. + if self.do_normalize: + mean = page.new_tensor(self.image_mean).view(-1, 1, 1) + std = page.new_tensor(self.image_std).view(-1, 1, 1) + page = (page - mean) / std + patches = page.unfold(1, 16, 16).unfold(2, 16, 16) + patches = patches.permute(1, 2, 0, 3, 4).reshape(-1, 3 * 16 * 16) + return BatchFeature(data={ + "pixel_values": patches, + "image_sizes": torch.tensor([[height, width]], dtype=torch.long), + "content_sizes": torch.tensor([[ch, cw]], dtype=torch.long), + }, tensor_type=return_tensors) + + # Ensure images is a list + if not isinstance(images, list): + images = [images] + + # Ensure images are RGB + for i in range(len(images)): + images[i] = images[i].convert('RGB') + + # Convert PIL images to numpy arrays if needed + processed_images = [] + for image in images: + if isinstance(image, Image.Image): + image = np.asarray(image) + processed_images.append(image) + + # Apply NemotronParse-specific transforms + pixel_values = [] + content_sizes = [] + for image in processed_images: + processed_image = self._resize_with_aspect_ratio(image) + content_sizes.append( + [int(processed_image.shape[0]), int(processed_image.shape[1])] + ) + if self.navit_packing: + processed_image = self._pad_to_navit_grid(processed_image) + + if self.transform is not None: + transformed = self.transform(image=processed_image) + processed_image = transformed["image"] + else: + # Fixed exports retain the historical full-canvas pad. + if not self.navit_packing: + processed_image = self._pad_to_size(processed_image) + + pixel_values_tensor = self.torch_transform(processed_image) + + if pixel_values_tensor.shape[0] == 1: + pixel_values_tensor = pixel_values_tensor.expand(3, -1, -1) + + pixel_values.append(pixel_values_tensor) + + if self.navit_packing: + content_sizes = torch.tensor(content_sizes, dtype=torch.long) + image_sizes = torch.tensor( + [[int(page.shape[-2]), int(page.shape[-1])] for page in pixel_values], + dtype=torch.long, + ) + raw_patches = [] + for page in pixel_values: + if self.do_normalize: + mean = page.new_tensor(self.image_mean).view(-1, 1, 1) + std = page.new_tensor(self.image_std).view(-1, 1, 1) + page = (page - mean) / std + patches = page.unfold(1, 16, 16).unfold(2, 16, 16) + patches = patches.permute(1, 2, 0, 3, 4).reshape(-1, 3 * 16 * 16) + raw_patches.append(patches) + pixel_values = torch.cat(raw_patches, dim=0) + data = { + "pixel_values": pixel_values, + "image_sizes": image_sizes, + "content_sizes": content_sizes, + } + else: + pixel_values = torch.stack(pixel_values) + if self.do_normalize: + mean = pixel_values.new_tensor(self.image_mean).view(1, -1, 1, 1) + std = pixel_values.new_tensor(self.image_std).view(1, -1, 1, 1) + pixel_values = (pixel_values - mean) / std + data = {"pixel_values": pixel_values} + + if return_tensors is not None: + data = self._convert_output_format(data, return_tensors) + + return data + + def _convert_output_format(self, data: Dict[str, torch.Tensor], return_tensors: Union[str, TensorType]) -> Dict: + """Convert output format based on return_tensors parameter.""" + if return_tensors == "pt" or return_tensors == TensorType.PYTORCH: + return data + elif return_tensors == "np" or return_tensors == TensorType.NUMPY: + return {k: v.numpy() for k, v in data.items()} + else: + return data + + def __call__(self, images: Union[Image.Image, List[Image.Image]], **kwargs) -> Dict[str, torch.Tensor]: + """Process images for the model (backward compatibility).""" + return self.preprocess(images, **kwargs) + + +class NemotronParseProcessor(ProcessorMixin): + + attributes = ["image_processor", "tokenizer"] + image_processor_class = "AutoImageProcessor" + tokenizer_class = ("PreTrainedTokenizer", "PreTrainedTokenizerFast") + + def __init__(self, image_processor=None, tokenizer=None, **kwargs): + if image_processor is None: + image_processor = NemotronParseImageProcessor(**kwargs) + + super().__init__(image_processor, tokenizer) + + + def __call__( + self, + images: Union[Image.Image, List[Image.Image]] = None, + text: Union[str, List[str]] = None, + add_special_tokens: bool = True, + padding: Union[bool, str] = False, + truncation: Union[bool, str] = False, + max_length: Optional[int] = None, + stride: int = 0, + pad_to_multiple_of: Optional[int] = None, + return_attention_mask: Optional[bool] = None, + return_overflowing_tokens: bool = False, + return_special_tokens_mask: bool = False, + return_offsets_mapping: bool = False, + return_token_type_ids: bool = False, + return_length: bool = False, + verbose: bool = True, + return_tensors: Optional[Union[str, "TensorType"]] = None, + content_hw: Optional[List[int]] = None, + **kwargs + ) -> BatchFeature: + """ + Main method to prepare for the model one or several text(s) and image(s). + """ + + # Process images + if images is not None: + image_inputs = self.image_processor( + images, content_hw=content_hw, **kwargs) + else: + image_inputs = {} + + # Process text + if text is not None: + text_inputs = self.tokenizer( + text, + add_special_tokens=add_special_tokens, + padding=padding, + truncation=truncation, + max_length=max_length, + stride=stride, + pad_to_multiple_of=pad_to_multiple_of, + return_attention_mask=return_attention_mask, + return_overflowing_tokens=return_overflowing_tokens, + return_special_tokens_mask=return_special_tokens_mask, + return_offsets_mapping=return_offsets_mapping, + return_token_type_ids=return_token_type_ids, + return_length=return_length, + verbose=verbose, + return_tensors=return_tensors, + **kwargs, + ) + else: + text_inputs = {} + + # Combine inputs + return BatchFeature(data={**image_inputs, **text_inputs}) + + def decode(self, *args, **kwargs): + """Decode token ids to strings.""" + return self.tokenizer.decode(*args, **kwargs) + + def batch_decode(self, *args, **kwargs): + """Batch decode token ids to strings.""" + return self.tokenizer.batch_decode(*args, **kwargs) + + def post_process_generation(self, sequences, fix_markdown=False): + """Post-process generated sequences.""" + if hasattr(self.tokenizer, 'post_process_generation'): + return self.tokenizer.post_process_generation(sequences, fix_markdown=fix_markdown) + else: + # Fallback processing + if isinstance(sequences, str): + sequences = [sequences] + + processed = [] + for seq in sequences: + # Basic cleaning + seq = seq.replace('', '').replace('', '').strip() + processed.append(seq) + + return processed[0] if len(processed) == 1 else processed + + @classmethod + def from_pretrained(cls, pretrained_model_name_or_path, **kwargs): + """ + Load processor from pretrained model. + + This method is compatible with AutoProcessor.from_pretrained(). + """ + # Explicitly load subcomponents via Auto* to ensure remote auto_map is honored. + from transformers import AutoImageProcessor, AutoTokenizer + trust_remote_code = kwargs.get("trust_remote_code", None) + revision = kwargs.get("revision", None) + token = kwargs.get("token", None) + image_processor = AutoImageProcessor.from_pretrained( + pretrained_model_name_or_path, + trust_remote_code=trust_remote_code, + revision=revision, + token=token, + ) + tokenizer = AutoTokenizer.from_pretrained( + pretrained_model_name_or_path, + trust_remote_code=trust_remote_code, + revision=revision, + token=token, + ) + return cls(image_processor=image_processor, tokenizer=tokenizer) + + def save_pretrained(self, save_directory, **kwargs): + """ + Save processor to directory. + + This method is compatible with AutoProcessor/AutoImageProcessor loading. + """ + import os + os.makedirs(save_directory, exist_ok=True) + + # Save tokenizer with proper configuration for AutoTokenizer + print("Saving tokenizer for AutoTokenizer compatibility...") + self.tokenizer.save_pretrained(save_directory, **kwargs) + + # Save image processor + print("Saving image processor...") + self.image_processor.save_pretrained(save_directory, **kwargs) + + # Use the parent class's save_pretrained method for processor config + super().save_pretrained(save_directory, **kwargs) + print(f"NemotronParseProcessor saved to {save_directory}") + print(f"AutoTokenizer.from_pretrained('{save_directory}') should now work!") diff --git a/hf_prefix_geometry.py b/hf_prefix_geometry.py new file mode 100644 index 0000000000000000000000000000000000000000..577a1bb031235a8ef2e8945b9ce4a4b65a839784 --- /dev/null +++ b/hf_prefix_geometry.py @@ -0,0 +1,149 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Learned content-normalized positional interpolation shared with serving.""" + +def _normalized_2d_position_pages( + torch_module, + *, + patches, + pos_embed, + source_rows: int, + source_cols: int, + image_sizes, + patch_size: int, + content_sizes=None, + content_normalized: bool = False, +): + """Mirror training's per-page normalized-2D position interpolation. + + Keep this helper independent of vLLM imports so the export contract can be + exercised on the login node. vLLM supplies one concatenated raw-patch + sequence, whereas training embeds each page separately; splitting before + interpolation makes the two representations numerically identical. + """ + + source_rows = int(source_rows) + source_cols = int(source_cols) + patch_size = int(patch_size) + if source_rows <= 0 or source_cols <= 0 or patch_size <= 0: + raise ValueError( + "normalized 2D positions require positive source grid and patch size" + ) + if source_rows * source_cols != int(pos_embed.shape[1]): + raise ValueError( + "RADIO learned positional field shape is inconsistent: " + f"source={source_rows}x{source_cols} tokens={int(pos_embed.shape[1])}" + ) + + positional_grid = pos_embed.reshape( + 1, source_rows, source_cols, -1 + ).permute(0, 3, 1, 2) + normalized_content_sizes = None + if content_sizes is not None: + normalized_content_sizes = [ + tuple(int(value) for value in size) for size in content_sizes + ] + if len(normalized_content_sizes) != len(image_sizes): + raise ValueError( + "Content-size count must match image-size count: " + f"content_sizes={len(normalized_content_sizes)} " + f"image_sizes={len(image_sizes)}" + ) + if content_normalized and normalized_content_sizes is None: + raise ValueError("content-normalized 2D positions require content_sizes") + + positioned_pages = [] + cursor = 0 + for image_index, (raw_height, raw_width) in enumerate(image_sizes): + height, width = int(raw_height), int(raw_width) + if height % patch_size or width % patch_size: + raise ValueError( + f"Page shape {(height, width)} is not aligned to patch size {patch_size}" + ) + rows, cols = height // patch_size, width // patch_size + patch_count = rows * cols + page = patches[:, cursor : cursor + patch_count] + if int(page.shape[1]) != patch_count: + raise ValueError( + "Normalized position split ended inside a page: " + f"page={(height, width)} expected={patch_count} actual={int(page.shape[1])}" + ) + cursor += patch_count + if content_normalized: + content_height, content_width = normalized_content_sizes[image_index] + if content_height <= 0 or content_width <= 0: + raise ValueError( + "content size must be positive, got " + f"{(content_height, content_width)}" + ) + if content_height > height or content_width > width: + raise ValueError( + "content size cannot exceed padded image: " + f"content={(content_height, content_width)} image={(height, width)}" + ) + content_rows = (content_height + patch_size - 1) // patch_size + content_cols = (content_width + patch_size - 1) // patch_size + if min(content_rows, content_cols) == 1: + # Match training's safe area-preserving path for augmentation + # crops whose visible content spans only one patch in an axis. + page_positions = torch_module.nn.functional.adaptive_avg_pool2d( + positional_grid.float(), (content_rows, content_cols) + ) + else: + page_positions = torch_module.nn.functional.interpolate( + positional_grid.float(), + size=(content_rows, content_cols), + mode="bilinear", + align_corners=False, + antialias=True, + ) + row_starts = ( + torch_module.arange(rows, device=page.device, dtype=torch_module.float32) + * patch_size + ) + col_starts = ( + torch_module.arange(cols, device=page.device, dtype=torch_module.float32) + * patch_size + ) + row_extents = (content_height - row_starts).clamp( + min=0.0, max=float(patch_size) + ) + col_extents = (content_width - col_starts).clamp( + min=0.0, max=float(patch_size) + ) + normalized_y = ( + row_starts + 0.5 * row_extents + ).clamp(max=float(content_height)) / float(content_height) + normalized_x = ( + col_starts + 0.5 * col_extents + ).clamp(max=float(content_width)) / float(content_width) + grid_y, grid_x = torch_module.meshgrid( + normalized_y, normalized_x, indexing="ij" + ) + sampling_grid = torch_module.stack( + (2.0 * grid_x - 1.0, 2.0 * grid_y - 1.0), dim=-1 + ) + page_positions = torch_module.nn.functional.grid_sample( + page_positions, + sampling_grid.unsqueeze(0), + mode="bilinear", + padding_mode="border", + align_corners=False, + ).to(dtype=page.dtype) + else: + page_positions = torch_module.nn.functional.interpolate( + positional_grid.float(), + size=(rows, cols), + mode="bilinear", + align_corners=False, + antialias=True, + ).to(dtype=page.dtype) + page_positions = page_positions.flatten(2).permute(0, 2, 1) + positioned_pages.append(page + page_positions) + if cursor != int(patches.shape[1]): + raise ValueError( + f"Normalized position split consumed {cursor} of {int(patches.shape[1])} patches" + ) + return torch_module.cat(positioned_pages, dim=1) + diff --git a/latex2html.py b/latex2html.py new file mode 100644 index 0000000000000000000000000000000000000000..e1e779c2fec1c70d1e1268b36fd670258d981a3e --- /dev/null +++ b/latex2html.py @@ -0,0 +1,11 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""Compatibility imports; implementation lives in nemotron_parse.tables.""" +from nemotron_parse.tables import ( + latex_table_to_html, + convert_single_table, + convert_html_tables_to_markdown, + convert_html_table_to_json, + convert_html_table_to_json_hierarchical, + convert_html_table_to_csv, +) diff --git a/logitsprocs/nemotron_parse_vllm_logitprocs.py b/logitsprocs/nemotron_parse_vllm_logitprocs.py new file mode 100644 index 0000000000000000000000000000000000000000..499a5383694f54a294a9dfb61898a8d7ea094083 --- /dev/null +++ b/logitsprocs/nemotron_parse_vllm_logitprocs.py @@ -0,0 +1,350 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +""" +Custom vLLM v1 logits processors for NVIDIA Nemotron Parse. + +Tuning via environment variables: + - NEMOTRON_PARSE_TABLE_PREFIX (default: \\begin{tabular}) + - NEMOTRON_PARSE_REP_MAX (default: 10) + - NEMOTRON_PARSE_REP_WINDOW (default: 2 * max_ngram * (rep_max + 1)) + - NEMOTRON_PARSE_REP_NGRAMS (default: 1,2,3,4,5) +""" + +from __future__ import annotations + +import os +import warnings +from dataclasses import dataclass +from typing import Dict, List, Set + +import torch +from transformers import AutoTokenizer + +from vllm.v1.sample.logits_processor.builtin import process_dict_updates +from vllm.v1.sample.logits_processor.interface import BatchUpdate, LogitsProcessor + + +def _strip_trailing_negative_token_ids(token_ids: List[int]) -> List[int]: + """vLLM v1 keeps a trailing -1 placeholder in output_token_ids.""" + i = len(token_ids) + while i > 0 and token_ids[i - 1] < 0: + i -= 1 + return token_ids[:i] + + +def _env_int(name: str, default: int) -> int: + val = os.environ.get(name, "").strip() + if not val: + return default + try: + return int(val) + except ValueError: + return default + + +def _env_csv_ints(name: str, default: List[int]) -> List[int]: + val = os.environ.get(name, "").strip() + if not val: + return default + out: List[int] = [] + for part in val.split(","): + part = part.strip() + if not part: + continue + try: + out.append(int(part)) + except ValueError: + return default + return out or default + + +def _warn_if_unexpected_arch(vllm_config) -> None: + try: + arches = getattr(vllm_config.model_config, "architectures", None) or [] + except Exception: + arches = [] + if any(a == "NemotronParseForConditionalGeneration" for a in arches): + return + warnings.warn( + "Nemotron-Parse logits processors enabled for a model whose " + f"architectures={arches!r}. These processors assume Nemotron-Parse-style " + "special tokens like , , and ; behavior may be " + "unsupported for other models.", + RuntimeWarning, + stacklevel=2, + ) + + +def _load_hf_tokenizer(vllm_config): + model_cfg = vllm_config.model_config + tok_name = getattr(model_cfg, "tokenizer", None) or getattr(model_cfg, "model", None) + trust_rc = bool(getattr(model_cfg, "trust_remote_code", False)) + revision = getattr(model_cfg, "tokenizer_revision", None) or getattr(model_cfg, "revision", None) + token = getattr(model_cfg, "hf_token", None) + kwargs = {"trust_remote_code": trust_rc} + if revision: + kwargs["revision"] = revision + if token: + # HF uses `token=` in modern versions. + kwargs["token"] = token + return AutoTokenizer.from_pretrained(tok_name, **kwargs) + + +def _build_token_sets(tokenizer) -> tuple[Set[int], Set[int], Set[int]]: + """Build token-id sets for , , and .""" + + def _scan(items) -> tuple[Set[int], Set[int], Set[int]]: + x_ids: Set[int] = set() + y_ids: Set[int] = set() + class_ids: Set[int] = set() + for token, tid in items: + if token.startswith("") and token.count(">") == 1: + x_ids.add(tid) + elif token.startswith("") and token.count(">") == 1: + y_ids.add(tid) + elif token.startswith("") and token.count(">") == 1: + class_ids.add(tid) + return x_ids, y_ids, class_ids + + added_vocab = {} + if hasattr(tokenizer, "get_added_vocab"): + try: + added_vocab = tokenizer.get_added_vocab() or {} + except Exception: + added_vocab = {} + + x_ids, y_ids, class_ids = _scan(added_vocab.items()) + + if len(x_ids) < 100 or len(y_ids) < 100 or not class_ids: + vocab = tokenizer.get_vocab() + x2, y2, c2 = _scan(vocab.items()) + x_ids, y_ids, class_ids = x2, y2, c2 + + return x_ids, y_ids, class_ids + + +@dataclass +class _TableReqState: + output_ids: List[int] + insertion_active: bool = False + insertion_pos: int = 0 + expecting_end_coords: bool = False + _last_class_pos: int = -1 + + +class NemotronParseTableInsertionLogitsProcessor(LogitsProcessor): + """Force a table prefix right after each START coordinate pair.""" + + def __init__(self, vllm_config, device: torch.device, is_pin_memory: bool) -> None: + self.enabled = True + self.req_states: Dict[int, _TableReqState] = {} + + self.table_prefix = os.environ.get("NEMOTRON_PARSE_TABLE_PREFIX", r"\begin{tabular}") + self.table_prefix_ids: List[int] = [] + self.x_token_ids: Set[int] = set() + self.y_token_ids: Set[int] = set() + self.class_token_ids: Set[int] = set() + + if self.enabled: + _warn_if_unexpected_arch(vllm_config) + tok = _load_hf_tokenizer(vllm_config) + self.table_prefix_ids = tok.encode(self.table_prefix, add_special_tokens=False) + self.x_token_ids, self.y_token_ids, self.class_token_ids = _build_token_sets(tok) + + if not self.x_token_ids or not self.y_token_ids or not self.table_prefix_ids: + self.enabled = False + + @classmethod + def validate_params(cls, sampling_params): + return None + + def is_argmax_invariant(self) -> bool: + return False + + def update_state(self, batch_update: BatchUpdate | None) -> None: + if not self.enabled: + return + + def _new_state(params, prompt_ids, output_ids): + return _TableReqState(output_ids=output_ids) + + process_dict_updates(self.req_states, batch_update, _new_state) + + for st in self.req_states.values(): + out = st.output_ids + if not out: + continue + + view = _strip_trailing_negative_token_ids(out) + if not view: + continue + + # If we ended an object (a newly-generated ), next xy should be START. + if self.class_token_ids: + last_class_pos = -1 + for i in range(len(view) - 1, -1, -1): + if view[i] in self.class_token_ids: + last_class_pos = i + break + if last_class_pos != -1 and last_class_pos != st._last_class_pos: + st._last_class_pos = last_class_pos + st.expecting_end_coords = False + + if st.insertion_active: + continue + + if len(view) >= 2 and view[-2] in self.x_token_ids and view[-1] in self.y_token_ids: + if not st.expecting_end_coords: + st.insertion_active = True + st.insertion_pos = 0 + st.expecting_end_coords = True + else: + pass + + def apply(self, logits: torch.Tensor) -> torch.Tensor: + if not self.enabled or not self.req_states: + return logits + + for req_idx, st in self.req_states.items(): + if not st.insertion_active: + continue + pos = st.insertion_pos + if pos >= len(self.table_prefix_ids): + st.insertion_active = False + continue + + forced_tid = self.table_prefix_ids[pos] + logits[req_idx].fill_(-float("inf")) + logits[req_idx, forced_tid] = 0.0 + + st.insertion_pos = pos + 1 + if st.insertion_pos >= len(self.table_prefix_ids): + st.insertion_active = False + + return logits + + +@dataclass +class _RepReqState: + output_ids: List[int] + in_cooldown: bool = False + segment_start: int = 0 + _last_class_pos: int = -1 + + +class NemotronParseRepetitionStopLogitsProcessor(LogitsProcessor): + """Force an token when consecutive repetition exceeds a threshold.""" + + def __init__(self, vllm_config, device: torch.device, is_pin_memory: bool) -> None: + self.enabled = True + self.req_states: Dict[int, _RepReqState] = {} + + self.max_repetitions = _env_int("NEMOTRON_PARSE_REP_MAX", 10) + self.ngram_sizes = _env_csv_ints("NEMOTRON_PARSE_REP_NGRAMS", [1, 2, 3, 4, 5]) + max_ngram = max((n for n in self.ngram_sizes if n > 0), default=1) + default_window = 2 * max_ngram * (self.max_repetitions + 1) + self.window_size = _env_int("NEMOTRON_PARSE_REP_WINDOW", default_window) + + self.x_token_ids: Set[int] = set() + self.class_token_ids: Set[int] = set() + + if self.enabled: + _warn_if_unexpected_arch(vllm_config) + tok = _load_hf_tokenizer(vllm_config) + x_ids, _, class_ids = _build_token_sets(tok) + self.x_token_ids = x_ids + self.class_token_ids = class_ids + + if not self.x_token_ids: + self.enabled = False + + @classmethod + def validate_params(cls, sampling_params): + return None + + def is_argmax_invariant(self) -> bool: + return False + + def update_state(self, batch_update: BatchUpdate | None) -> None: + if not self.enabled: + return + + def _new_state(params, prompt_ids, output_ids): + return _RepReqState(output_ids=output_ids) + + process_dict_updates(self.req_states, batch_update, _new_state) + + for st in self.req_states.values(): + out = st.output_ids + if not out: + continue + view = _strip_trailing_negative_token_ids(out) + if not view: + continue + # Clear cooldown and advance segment on a newly-generated token. + if self.class_token_ids: + last_class_pos = -1 + for i in range(len(view) - 1, -1, -1): + if view[i] in self.class_token_ids: + last_class_pos = i + break + if last_class_pos != -1 and last_class_pos != st._last_class_pos: + st._last_class_pos = last_class_pos + st.in_cooldown = False + st.segment_start = last_class_pos + 1 + + @staticmethod + def _max_consecutive_repetitions(seq: List[int], n: int) -> int: + if len(seq) < n: + return 0 + max_consec = 1 + cur = 1 + prev = tuple(seq[0:n]) + i = n + while i <= len(seq) - n: + cur_ng = tuple(seq[i:i + n]) + if cur_ng == prev: + cur += 1 + if cur > max_consec: + max_consec = cur + i += n + else: + cur = 1 + prev = cur_ng + i += 1 + return max_consec + + def _has_excessive_repetition(self, seq: List[int]) -> bool: + if not seq: + return False + check_seq = seq[-self.window_size:] if len(seq) > self.window_size else seq + for n in self.ngram_sizes: + if n <= 0: + continue + if self._max_consecutive_repetitions(check_seq, n) > self.max_repetitions: + return True + return False + + def apply(self, logits: torch.Tensor) -> torch.Tensor: + if not self.enabled or not self.req_states: + return logits + + for req_idx, st in self.req_states.items(): + if st.in_cooldown: + continue + view = _strip_trailing_negative_token_ids(st.output_ids) + seg = view[st.segment_start:] + if not self._has_excessive_repetition(seg): + continue + + st.in_cooldown = True + row = logits[req_idx] + original = row.clone() + row.fill_(-float("inf")) + for tid in self.x_token_ids: + row[tid] = original[tid] + + return logits + + diff --git a/model-cards/nemotron-3-5-parse-subcards/bias.md b/model-cards/nemotron-3-5-parse-subcards/bias.md new file mode 100644 index 0000000000000000000000000000000000000000..9e274c957213724989d59e65de6eee81bafc943c --- /dev/null +++ b/model-cards/nemotron-3-5-parse-subcards/bias.md @@ -0,0 +1,7 @@ +## Bias + +Field | Response +:---- | :---- +Participation considerations from adversely impacted groups [protected classes](https://calcivilrights.ca.gov/disputeresolution/protected-characteristics/) in model design and testing: | None +Measures taken to mitigate against unwanted bias: | Dataset curation, filtering, and evaluation include review across document types, layouts, languages, and scripts where available. Users should evaluate performance on their target document domains before deployment. +Bias Metric (If Measured): | Not measured as a demographic fairness metric. Model quality is evaluated through document parsing, OCR, layout, table, chart, and reading-order metrics. diff --git a/model-cards/nemotron-3-5-parse-subcards/explainability.md b/model-cards/nemotron-3-5-parse-subcards/explainability.md new file mode 100644 index 0000000000000000000000000000000000000000..ba9f39a001cfeb8ef847d32862198fbc11eb6885 --- /dev/null +++ b/model-cards/nemotron-3-5-parse-subcards/explainability.md @@ -0,0 +1,15 @@ +## Explainability + +Field | Response +:---- | :---- +Intended Task/Domain: | Document understanding, OCR, layout parsing, table extraction, and text extraction with spatial grounding. +Model Type: | Transformer-based vision-encoder-decoder model. +Intended Users: | Developers and teams building document intelligence, retrieval-augmented generation (RAG), data-curation, extraction, and multimodal agent workflows. +Output: | Structured text containing document element classes, bounding boxes, reading-order information, chart/table annotations, and extracted text. +Describe how the model works: | Nemotron 3.5 Parse encodes a dynamically sized document image with C-RADIOv4-SO400M, compresses the visual features with a neck, and places them before the OCR prompt as a causal prefix to a 10-layer mBART decoder. The decoder uses grouped-query self-attention and produces structured document annotations with content-normalized boxes. The 72,505-token tokenizer includes multilingual, task-control, and chart-aware tokens such as ``. +Name the adversely impacted groups this has been tested to deliver comparable outcomes regardless of: | Not Applicable +Technical Limitations & Mitigation: | Performance can vary for low-resolution scans, motion blur, handwriting, decorative fonts, dense tables, unusual layouts, unsupported languages or scripts, and documents with heavy compression artifacts. Users should evaluate outputs on representative documents and use human review for high-impact workflows. +Verified to have met prescribed NVIDIA quality standards: | Yes +Performance Metrics: | OCR accuracy, layout/class accuracy, table extraction quality, chart extraction quality, reading-order quality, grounding quality, latency, throughput, and qualitative visual inspection. +Potential Known Risks: | The model may miss text, hallucinate structure, assign incorrect classes, produce inaccurate bounding boxes, or incorrectly order elements. Downstream systems should treat output as model-generated extraction results and apply validation, confidence checks, and human review where appropriate. +Licensing: | Governing Terms: Your use of this model is governed by the [OpenMDW License Agreement, version 1.1](https://openmdw.ai/license/1-1/). Use of the tokenizer included in this model is governed by the [MIT license and tokenizer attribution](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/TOKENIZER_ATTRIBUTION.md). See [third-party notices](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/THIRD_PARTY_NOTICES.md) for separately installed dependencies. diff --git a/model-cards/nemotron-3-5-parse-subcards/privacy.md b/model-cards/nemotron-3-5-parse-subcards/privacy.md new file mode 100644 index 0000000000000000000000000000000000000000..29d6539864897277e12c587225f1424a75384c70 --- /dev/null +++ b/model-cards/nemotron-3-5-parse-subcards/privacy.md @@ -0,0 +1,2 @@ +## Privacy +The datasets used to train this model were reviewed before release. Please review NVIDIA’s Privacy Policy (https://www.nvidia.com/en-us/about-nvidia/privacy-policy/) for more information. diff --git a/model-cards/nemotron-3-5-parse-subcards/safety_security.md b/model-cards/nemotron-3-5-parse-subcards/safety_security.md new file mode 100644 index 0000000000000000000000000000000000000000..2c72aa636af1ff20fd299f442e1c6bcd9d7a408d --- /dev/null +++ b/model-cards/nemotron-3-5-parse-subcards/safety_security.md @@ -0,0 +1,12 @@ +## Safety + +Field | Response +:---- | :---- +Model Application Field(s): | Document intelligence, information retrieval, enterprise automation, data extraction, multimodal data curation, and retrieval-augmented generation workflows. +Describe the life critical impact (if present). | Not Applicable. This model is not intended to make life-critical, legal, medical, financial, or safety-critical decisions without downstream validation and human oversight. +Use Case Restrictions: | Governing Terms: Your use of this model is governed by the [OpenMDW License Agreement, version 1.1](https://openmdw.ai/license/1-1/). Use of the tokenizer included in this model is governed by the [MIT license and tokenizer attribution](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/TOKENIZER_ATTRIBUTION.md). See [third-party notices](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/THIRD_PARTY_NOTICES.md) for separately installed dependencies. +Input permissions: | Users are responsible for ensuring they have rights and permissions for input documents and images. +Model and dataset restrictions: | The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to. + + +**You are responsible for ensuring that your use of NVIDIA-provided models complies with all applicable laws.** diff --git a/model-cards/nemotron-3-5-parse.md b/model-cards/nemotron-3-5-parse.md new file mode 100644 index 0000000000000000000000000000000000000000..636135ff77596f8a22dc72a70b89e73613b18f0b --- /dev/null +++ b/model-cards/nemotron-3-5-parse.md @@ -0,0 +1,158 @@ +# Nemotron 3.5 Parse Overview + +## Description: +Nemotron 3.5 Parse is a document image parser that produces structured, machine-readable text with semantic layout classes, bounding boxes, and reading order. It combines a C-RADIOv4-SO400M vision encoder with a 10-layer mBART decoder that consumes the visual sequence as a causal prefix. The release uses dynamic rectangular NaViT preprocessing, content-normalized coordinates, grouped-query self-attention (16 query heads and 8 key/value heads), a 72,505-token multilingual tokenizer, and chart-aware output through the `` token. It is intended for document understanding, information retrieval, data extraction, and multimodal data-curation workflows. + +Nemotron 3.5 Parse was developed by NVIDIA as a part of Nemotron. + +This model is ready for commercial or non-commercial use. + +### License/Terms of Use: +Governing Terms: Your use of this model is governed by the [OpenMDW License Agreement, version 1.1](https://openmdw.ai/license/1-1/). Use of the tokenizer included in this model is governed by the [MIT license and tokenizer attribution](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/TOKENIZER_ATTRIBUTION.md). See [third-party notices](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/THIRD_PARTY_NOTICES.md) for separately installed dependencies. + +### Deployment Geography: +Global + +### Use Case: +Nemotron 3.5 Parse is designed for developers and teams building document intelligence, retrieval-augmented generation (RAG), curator, extractor, and agentic AI applications. It can convert scanned or rendered PDFs, presentation slides, forms, reports, tables, and mixed-content document pages into structured outputs for downstream indexing, retrieval, analytics, model training-data creation, and human-in-the-loop review. The model supports document understanding, optical character recognition (OCR), layout parsing, table and chart extraction, reading-order recovery, and text extraction with spatial grounding. + +### Release Date: +Hugging Face 10/17/2026 via https://huggingface.co/nvidia/Nemotron-3.5-Parse + +## Reference(s): +* [Hugging Face Transformers mBART documentation](https://huggingface.co/docs/transformers/en/model_doc/mbart) +* [NVIDIA C-RADIOv4-SO400M](https://huggingface.co/nvidia/C-RADIOv4-SO400M) + +## Model Architecture: +**Architecture Type:** Transformer + +**Network Architecture:** +* Vision Encoder: NVIDIA C-RADIOv4-SO400M (`vit_so400m_patch16_224`) with dynamic rectangular NaViT preprocessing +* Adapter Layer: 1D convolutions and normalization layers that compress the vision latent sequence before decoding +* Decoder: 10-layer mBART causal visual-prefix decoder with 16 query heads and 8 key/value heads +* Auxiliary Prediction Head: One trained one-step multi-token-prediction (MTP) head is included in `model.safetensors`. Transformers uses the normal decoder for generation; the vLLM plugin enables the bundled head for one-token speculative decoding. +* Tokenizer: 72,505 entries with multilingual and task/control tokens including ``, ``, ``, and ``; the decoder embedding is padded to 72,512 rows. Use of the tokenizer included in this model is governed by the [MIT license and tokenizer attribution](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/TOKENIZER_ATTRIBUTION.md). +**Number of model parameters:** 630,800,496 unique trainable parameters (approximately 0.631B), including the MTP head; shared decoder embedding/output weights are counted once + +## Input: +**Input Type(s):** Image, Text + +**Input Format(s):** +* Image: Red, Green, Blue (RGB) +* Text: Prompt string + +**Input Parameters:** +* Image: Two-Dimensional (2D) +* Text: One-Dimensional (1D) + +**Other Properties Related to Input:** +* Recommended maximum input resolution (Width, Height): 1664, 2048 +* Channel Count: 3 +* Prompt format: one task prompt composed from the supported control tokens. The default prompt extracts bounding boxes, semantic classes, and text in markdown format: ``. + +## Output: +**Output Type(s):** Text + +**Output Format(s):** String + +**Output Parameters:** One-Dimensional (1D) + +**Other Properties Related to Output:** Nemotron 3.5 Parse returns a string encoding document text, semantic element classes, and content-normalized bounding boxes. Scale x coordinates by the evaluated image width and y coordinates by its height. Postprocessing utilities can convert table or chart-associated text into LaTeX, HTML, markdown, JSON, or CSV where supported. + +Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA hardware and software frameworks, the model achieves faster training and inference times compared to CPU-only solutions. + +## Software Integration: +**Runtime Engine(s):** +* Transformers +* vLLM + +**Reference Hardware:** NVIDIA Hopper H100, BF16. + +**Supported Operating System(s):** +* Linux + +The integration of foundation and fine-tuned models into AI systems requires additional testing using use-case-specific data to ensure safe and effective deployment. Following the V-model methodology, iterative testing and validation at both unit and system levels is essential to mitigate risks, meet technical and functional requirements, and ensure compliance with safety and ethical standards before deployment. + +## Model Version(s): +Nemotron 3.5 Parse · October 17, 2026 release + +This AI model can be embedded as an Application Programming Interface (API) call through the documented Transformers or vLLM serving interfaces. + +## Training, Testing, and Evaluation Datasets: +### Training Dataset + +**Data Modality:** +* Image +* Text + +**Image Training Data Size:** +* 1 Million to 1 Billion Images + +**Text Training Data Size:** +* 1 Billion to 10 Trillion Tokens + +**Data Collection Method by dataset:** +* Automated, Manually-Collected, Synthetic + +**Labeling Method by dataset:** Automated, Manually-Labeled, Synthetic +**Labeling Details:** Labels are produced through a combination of automated OCR and layout annotation, manual annotation, and synthetic generation. The combination varies by constituent dataset. + +**Properties:** The training set contains millions of image-text items aggregated across large document, table, and layout datasets. The data consists of document-page and table images paired with OCR text, bounding boxes, and layout labels. Sources include rendered digital documents, scientific papers, PDFs, Wikipedia-style pages, and synthetic document, table, word, and character renderings. Annotations come from OCR and layout models, third-party OCR services, synthetic-generation pipelines, and human labeling. + +### Testing Dataset + +**Data Collection Method by dataset:** Automated, Manually-Collected, Synthetic +**Collection Details:** Sources combine automated collection, manually collected material, and synthetic generation; methods vary by constituent dataset. + +**Labeling Method by dataset:** Automated, Manually-Labeled, Synthetic +**Labeling Details:** Labels are produced through a combination of automated OCR and layout annotation, manual annotation, and synthetic generation. The combination varies by constituent dataset. + +**Properties:** Tested on internal and public document-understanding benchmarks using document-page images and reference text, layout classes, bounding boxes, and structure annotations. Coverage includes OCR quality, layout structure, table parsing, reading order, and visual grounding across document types and languages. + +### Evaluation Dataset + +**Data Collection Method by dataset:** Automated, Manually-Collected, Synthetic +**Collection Details:** Sources combine automated collection, manually collected material, and synthetic generation; methods vary by constituent dataset. + +**Labeling Method by dataset:** Automated, Manually-Labeled, Synthetic +**Labeling Details:** Labels are produced through a combination of automated OCR and layout annotation, manual annotation, and synthetic generation. The combination varies by constituent dataset. + +**Properties:** Evaluated on internal and public document-understanding benchmarks covering OCR quality, layout structure, table parsing, reading order, and visual grounding. The ParseBench reference evaluation covers 2,078 unique document pages. Additional benchmarks cover Indic-language OCR and multilingual synthetic OCR across the scripts listed below. + +Benchmark coverage: +* ParseBench evaluates document parsing across text fidelity, semantic formatting, tables, charts, and visual grounding with layout boxes/classes. +* IndicVisionBench evaluates OCR quality for Indic-language pages, including Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, and Telugu. +* MOSCAR evaluates multilingual synthetic OCR across broad script coverage, including Latin, Arabic, Cyrillic, Han, Hangul, Japanese, Indic scripts, Hebrew, Thai, Greek, and others. + +## ParseBench + +| Pipeline | Inference stages | Overall score ↑ | Prepared pages/s ↑ | +| --- | --- | ---: | ---: | +| Single | Full-page parse | 72.74 | 15.42 | +| Double | Full-page parse and predicted Table/Chart crop refinement | 74.92 | 11.65 | +| Triple | Full-page parse, separate detection, and crop refinement using their region union | 75.20 | 10.62 | + +Measured on 2,078 unique pages with one H100. Double captures most of the observed +accuracy gain; triple adds 0.28 points at about 9% lower throughput than double. +Timing includes inference waits and dependent crop preparation, excluding initial +preparation and final rendering/writes. Processed-page rates include token-limited +outputs. The refinement merge retains differing alternatives. See the +[measurement sources](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/reference/parsebench/comparisons/README.md). + +## Inference: +**Acceleration Engine:** Transformers, vLLM +**Test Hardware:** +* NVIDIA Hopper H100 + +## Limitations: +Performance can vary for low-resolution scans, motion blur, handwriting, decorative fonts, dense tables, unusual layouts, unsupported languages or scripts, and documents with heavy compression artifacts. The model may miss text, hallucinate structure, assign incorrect classes, produce inaccurate bounding boxes, or incorrectly order elements. Users should evaluate outputs on representative target documents and use validation and human review for high-impact workflows. + +## Ethical Considerations: +NVIDIA believes Trustworthy AI is a shared responsibility and has established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal model teams to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse. + +Please make sure you have proper rights and permissions for all input image and video content. If an input image contains people, personal health information, confidential business data, or intellectual property, the model may extract or reproduce visible text from that content. + +For more detailed information on ethical considerations for this model, please see the Model Card++ [Bias](nemotron-3-5-parse-subcards/bias.md), [Explainability](nemotron-3-5-parse-subcards/explainability.md), [Safety & Security](nemotron-3-5-parse-subcards/safety_security.md), and [Privacy](nemotron-3-5-parse-subcards/privacy.md) subcards. +Please report model quality, risk, security vulnerabilities, or NVIDIA AI concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/). + +**Generated by NVIDIA Model Card Generator Toolkit.** diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..f5e3009e789de17b8c9117c94a55fc00c235c65d --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version 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"Image-based inference wrappers and guarded crop merging", + "Code and Formula blocks retain literal table examples", + "Enable guarded chart presentation rules by default, retaining opt-outs", + "Prepared image batches, bounded pipelined concurrency, and staged comparisons", + "Explicit partial-output accounting and per-stage timing", + "Retain differing overlapping structural alternatives by default; guarded replacement remains an explicit option. Scheduler unchanged.", + "Add first-request-to-last-response inference wall timing, retaining dependent crop preparation gaps and separate total pipeline metrics." + ] +} diff --git a/nemotron_parse/__init__.py b/nemotron_parse/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..e9afa89513c95d87c6a6b192d8f34b9f10001bd1 --- /dev/null +++ b/nemotron_parse/__init__.py @@ -0,0 +1,6 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""General document postprocessing and optional multipass inference.""" +from .postprocessing import PostprocessOptions, postprocess_document, render_markdown + +__all__ = ["PostprocessOptions", "postprocess_document", "render_markdown"] diff --git a/nemotron_parse/batch.py b/nemotron_parse/batch.py new file mode 100644 index 0000000000000000000000000000000000000000..ea8ce49f3899340a22a9eedd7c7fc4848b7b219f --- /dev/null +++ b/nemotron_parse/batch.py @@ -0,0 +1,571 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""Prepared image batches with bounded, overlapping HTTP concurrency and CPU rendering.""" +from concurrent.futures import ( + ThreadPoolExecutor, + ProcessPoolExecutor, + wait, + FIRST_COMPLETED, +) +from dataclasses import dataclass, asdict +from io import BytesIO +from pathlib import Path +from types import SimpleNamespace +import base64 +import collections +import multiprocessing +import time + +from PIL import Image +from .engine import geometry +from .engine.regions import select_union_regions +from .postprocessing import clean_raw_output, postprocess_document + + +@dataclass +class PreparedPage: + image: Image.Image + data_url: str + source: str | None + + +@dataclass +class PreparedBatch: + pages: list[PreparedPage] + preprocessing_seconds: float + + +@dataclass +class BatchResult: + documents: list[dict] + metrics: dict + + +def _url(data, mime): + return f"data:{mime};base64," + base64.b64encode(data).decode("ascii") + + +def prepare_images(images, *, workers=8): + if workers < 1: + raise ValueError("workers must be positive") + start = time.perf_counter() + + def one(value): + if isinstance(value, Image.Image): + image = value.convert("RGB") + stream = BytesIO() + image.save(stream, format="PNG") + return PreparedPage(image, _url(stream.getvalue(), "image/png"), None) + data = Path(value).read_bytes() + with Image.open(BytesIO(data)) as opened: + mime = {"JPEG": "image/jpeg", "PNG": "image/png", "WEBP": "image/webp"}.get( + opened.format + ) + keep_encoded = mime is not None and opened.mode == "RGB" + image = opened.convert("RGB") + if not keep_encoded: + stream = BytesIO() + image.save(stream, format="PNG") + data, mime = stream.getvalue(), "image/png" + return PreparedPage(image, _url(data, mime), str(value)) + + with ThreadPoolExecutor(max_workers=workers) as pool: + pages = list(pool.map(one, images)) + if not pages: + raise ValueError("No page images provided") + return PreparedBatch(pages, time.perf_counter() - start) + + +def _finish(task): + raw, crops, size, options, merge_policy = task + from .inference import merge_crops + + raw = clean_raw_output(raw, deduplicate=options.deduplicate) + if crops: + raw = merge_crops(raw, crops, policy=merge_policy) + return postprocess_document(raw, image_size=size, options=options) + + +def _crop_preparer(parser, pages, triple_regions): + args = SimpleNamespace( + include_detector_labels="table,chart", + detector_order="model", + detector_score_min=0.0, + max_elements_per_page=parser.max_regions, + model_coordinate_frame="content_normalized", + canvas_width=1664.0, + canvas_height=2048.0, + pad_position="top-left", + ) + + def page_crops(index, direct_response, detection_response=None, start_region=0): + page = pages[index] + page_spec = geometry.PageImage( + "page", "image.png", Path("image.png"), *page.image.size + ) + + def boxes(response): + return geometry.parse_model_detection_predictions( + args, + [page_spec], + [{"key": "page", "raw_out": clean_raw_output(response["raw_out"])}], + ) + + selected = ( + boxes(direct_response) + if direct_response is not None + else [{"key": "page", "detections": []}] + ) + if detection_response is not None: + detected = boxes(detection_response) + selected = ( + select_union_regions(detected, selected, max_regions=parser.max_regions) + if triple_regions == "union" + else detected + ) + boxes_for_page = selected[0]["detections"] + items, metadata = [], [] + for region_index, region in enumerate( + boxes_for_page[start_region:], start_region + ): + pixels = geometry.crop_bbox_pixels( + tuple(region["bbox_norm"]), + *page.image.size, + margin_px=parser.crop_margin_px, + margin_ratio=parser.crop_margin_ratio, + ) + if pixels[2] - pixels[0] < 8 or pixels[3] - pixels[1] < 8: + continue + stream = BytesIO() + page.image.crop(pixels).save(stream, format="JPEG", quality=95) + data = stream.getvalue() + # HTTP sends the prepared crop directly; custom backends receive decoded pixels. + image = None + if parser.backend is not None: + with Image.open(BytesIO(data)) as decoded: + image = decoded.convert("RGB") + items.append((image, _url(data, "image/jpeg"))) + metadata.append( + { + "page_index": index, + "crop_id": f"page__{region_index:03d}", + "page_key": "page", + "detector_label": region["label"], + "detector_score": region["score"], + "detector_bbox_norm": region["bbox_norm"], + "crop_bbox_pixels": pixels, + "page_size": page.image.size, + } + ) + return index, boxes_for_page, items, metadata + + return page_crops + + +def _inference_timing(spans): + """Wall time across model calls, including gaps needed to prepare later calls.""" + elapsed = max(end for begin, end in spans.values()) - min( + begin for begin, end in spans.values() + ) + return { + "inference_seconds": elapsed, + "inference_timing_includes": [ + "all HTTP/model calls, server queueing and response transfer", + "gaps between inference calls, including dependent crop preparation", + ], + "inference_timing_excludes": [ + "initial image preparation", + "server startup", + "warmup requests", + "merge/render work after the final model response", + "output serialization", + ], + "inference_timing_definition": "first model request start to last model response", + } + + +def _pipeline(parser, pages, mode, concurrency, workers, region_policy, allow_partial): + """Keep one bounded HTTP window full; dependent crops take the next free slot. + + Detection regions form the stable prefix of the union. They can be submitted + before full-page parsing finishes; parser-only additions follow in union order. + CPU crop encoding and document rendering never occupy an HTTP worker. + """ + from .inference import GenerationError + + count = len(pages) + direct = [None] * count + detection = [None] * count if mode == "triple" else None + regions = [[] for _ in pages] + crops = [{} for _ in pages] + documents = [None] * count + prep_pending = [0] * count + crop_pending = [0] * count + sealed = [mode == "single"] * count + render_started = set() + ready = collections.deque() + initial = collections.deque( + (i, stage, (page.image, page.data_url), None) + for i, page in enumerate(pages) + for stage in (["fullpage", "detection"] if mode == "triple" else ["fullpage"]) + ) + futures = {} + http_active = 0 + peak = 0 + spans = {} + service = collections.Counter() + started = time.perf_counter() + page_crops = _crop_preparer(parser, pages, region_policy) + + def generate(stage, item): + begin = time.perf_counter() + try: + result = parser._generate(item[0], stage, data_url=item[1]) + except GenerationError as exc: + if not ( + allow_partial + and exc.response.get("finish_reason") == "length" + and exc.response.get("raw_out") + ): + raise + result = dict(exc.response) + end = time.perf_counter() + return dict(result, latency_s=end - begin), begin, end + + # Small batches avoid process startup; threaded CPU work still cannot block HTTP. + render_executor = ( + ProcessPoolExecutor( + max_workers=workers, mp_context=multiprocessing.get_context("spawn") + ) + if workers > 1 and count >= 16 + else ThreadPoolExecutor(max_workers=1) + ) + with ThreadPoolExecutor(max_workers=concurrency) as http, ThreadPoolExecutor( + max_workers=min(8, count) + ) as prep, render_executor as render: + + def submit_prep(i, first, second, offset=0): + prep_pending[i] += 1 + futures[prep.submit(page_crops, i, first, second, offset)] = ( + "prep", + i, + None, + ) + + def maybe_render(i): + if ( + i in render_started + or direct[i] is None + or not sealed[i] + or prep_pending[i] + or crop_pending[i] + ): + return + render_started.add(i) + rows = [crops[i][j] for j in sorted(crops[i])] + task = ( + direct[i]["raw_out"], + [r for r in rows if r.get("finish_reason") != "length"], + pages[i].image.size, + parser.options, + parser.merge_policy, + ) + futures[render.submit(_finish, task)] = ("render", i, None) + + while initial or ready or futures: + while http_active < concurrency and (ready or initial): + i, stage, item, metadata = ( + ready.popleft() if ready else initial.popleft() + ) + futures[http.submit(generate, stage, item)] = (stage, i, metadata) + http_active += 1 + peak = max(peak, http_active) + if not futures: + break + done, _ = wait(futures, return_when=FIRST_COMPLETED) + for future in done: + kind, i, metadata = futures.pop(future) + value = future.result() + if kind == "prep": + prep_pending[i] -= 1 + _, selected, items, rows = value + # Two prep jobs can finish out of order; retain the full union. + if len(selected) > len(regions[i]): + regions[i] = selected + for item, row in zip(items, rows): + ready.append((i, "crop", item, row)) + crop_pending[i] += 1 + elif kind == "render": + documents[i] = value + else: + http_active -= 1 + response, begin, end = value + span = spans.setdefault(kind, [begin, end]) + span[0], span[1] = min(span[0], begin), max(span[1], end) + service[kind] += end - begin + if kind == "crop": + crop_pending[i] -= 1 + crops[i][metadata["crop_id"]] = {**metadata, **response} + elif kind == "fullpage": + direct[i] = response + if mode == "double": + sealed[i] = True + submit_prep(i, response, None) + elif detection is not None and detection[i] is not None: + sealed[i] = True + if region_policy == "union": + # The detector prefix is already queued. Only prepare additions. + detector_count = len( + page_crops( + i, None, detection[i], parser.max_regions + )[1] + ) + submit_prep(i, response, detection[i], detector_count) + else: + detection[i] = response + submit_prep(i, None, response) + if region_policy == "detector": + sealed[i] = True + elif direct[i] is not None: + sealed[i] = True + detector_count = len( + page_crops(i, None, response, parser.max_regions)[1] + ) + submit_prep(i, direct[i], response, detector_count) + maybe_render(i) + assert all(document is not None for document in documents) + return ( + direct, + detection, + regions, + [[rows[j] for j in sorted(rows)] for rows in crops], + documents, + { + **_inference_timing(spans), + "peak_inflight_requests": peak, + "stage_times": { + stage + "_span_seconds": end - begin + for stage, (begin, end) in spans.items() + }, + "request_service_seconds": dict(service), + "stage_first_request_seconds": { + stage: span[0] - started for stage, span in spans.items() + }, + "overlapping_stage_times": True, + }, + ) + + +def parse_prepared( + parser, + prepared, + *, + mode="single", + concurrency=128, + postprocess_workers=8, + triple_regions="union", + allow_partial=False, + schedule="pipelined", +): + from .inference import GenerationError + + if mode not in ("single", "double", "triple") or triple_regions not in ( + "detector", + "union", + ): + raise ValueError("Invalid pipeline mode or region policy") + if concurrency < 1 or postprocess_workers < 1: + raise ValueError("Worker counts must be positive") + if not isinstance(prepared, PreparedBatch) or not prepared.pages: + raise ValueError("Use parser.prepare() to prepare a nonempty image batch") + if schedule not in ("staged", "pipelined"): + raise ValueError("schedule must be staged or pipelined") + pages = prepared.pages + start = time.perf_counter() + stage_times = {} + request_spans = {} + + def requests(items, stage): + stage_start = time.perf_counter() + + def one(item): + image, url = item + request_start = time.perf_counter() + try: + response = parser._generate(image, stage, data_url=url) + except GenerationError as exc: + # Opt-in partial output is explicit and never counted as complete. + if ( + not allow_partial + or exc.response.get("finish_reason") != "length" + or not exc.response.get("raw_out") + ): + raise + response = dict(exc.response) + request_end = time.perf_counter() + response = dict(response, latency_s=request_end - request_start) + return response, request_start, request_end + + with ThreadPoolExecutor(max_workers=concurrency) as pool: + result = list(pool.map(one, items)) + stage_times[stage + "_seconds"] = time.perf_counter() - stage_start + request_spans[stage] = ( + min(begin for response, begin, end in result), + max(end for response, begin, end in result), + ) + return [response for response, begin, end in result] + + if schedule == "pipelined": + direct, detection, regions, crops_by_page, documents, stream_metrics = ( + _pipeline( + parser, + pages, + mode, + concurrency, + postprocess_workers, + triple_regions, + allow_partial, + ) + ) + stage_times.update(stream_metrics.pop("stage_times")) + crop_responses = [r for crops in crops_by_page for r in crops] + else: + direct = requests([(p.image, p.data_url) for p in pages], "fullpage") + detection = ( + requests([(p.image, p.data_url) for p in pages], "detection") + if mode == "triple" + else None + ) + regions = [[] for _ in pages] + crop_metadata = [] + crop_items = [] + crop_responses = [] + if mode != "single": + prep_start = time.perf_counter() + page_crops = _crop_preparer(parser, pages, triple_regions) + with ThreadPoolExecutor(max_workers=min(8, len(pages))) as pool: + for index, selected, items, metadata in pool.map( + lambda i: page_crops( + i, direct[i], detection[i] if detection is not None else None + ), + range(len(pages)), + ): + regions[index] = selected + crop_items.extend(items) + crop_metadata.extend(metadata) + stage_times["crop_preprocessing_seconds"] = time.perf_counter() - prep_start + crop_responses = requests(crop_items, "crop") if crop_items else [] + crops_by_page = [[] for _ in pages] + for metadata, response in zip(crop_metadata, crop_responses): + crops_by_page[metadata["page_index"]].append({**metadata, **response}) + post_start = time.perf_counter() + tasks = [ + ( + response["raw_out"], + [r for r in crops if r.get("finish_reason") != "length"], + page.image.size, + parser.options, + parser.merge_policy, + ) + for page, response, crops in zip(pages, direct, crops_by_page) + ] + if postprocess_workers == 1 or len(tasks) < 16: + documents = list(map(_finish, tasks)) + else: + with ProcessPoolExecutor( + max_workers=postprocess_workers, + mp_context=multiprocessing.get_context("spawn"), + ) as pool: + documents = list(pool.map(_finish, tasks, chunksize=8)) + stage_times["postprocessing_seconds"] = time.perf_counter() - post_start + stream_metrics = _inference_timing(request_spans) + capped = collections.Counter() + completed = 0 + for index, document in enumerate(documents): + stages = {"fullpage": direct[index], "crops": crops_by_page[index]} + if detection is not None: + stages["detection"] = detection[index] + errors = [] + for stage in ["fullpage", "detection"]: + if stage in stages and stages[stage].get("finish_reason") == "length": + capped[stage] += 1 + errors.append(stage + " reached its token limit") + for crop in stages["crops"]: + if crop.get("finish_reason") == "length": + capped["crop"] += 1 + errors.append( + "crop " + + crop["crop_id"] + + " reached its token limit; refinement omitted" + ) + document["complete"] = not errors + document["generation_warnings"] = errors + document["stages"] = stages + document["source"] = pages[index].source + document["inference"] = { + "mode": mode, + "merge_policy": parser.merge_policy, + "triple_regions": triple_regions if mode == "triple" else None, + "model": parser.model, + "coordinate_frame": "content_normalized", + "regions": regions[index], + "sampling": { + name: asdict(value) for name, value in parser.settings.items() + }, + "postprocessing": asdict(parser.options), + "crop_jpeg_quality": 95, + "crop_margin_ratio": parser.crop_margin_ratio, + "crop_margin_px": parser.crop_margin_px, + } + completed += not errors + elapsed = time.perf_counter() - start + all_responses = direct + (detection or []) + crop_responses + metrics = { + "mode": mode, + "merge_policy": parser.merge_policy, + "schedule": schedule, + **stream_metrics, + "pages": len(pages), + "complete_pages": completed, + "incomplete_pages": len(pages) - completed, + "concurrency": concurrency, + "postprocess_workers": postprocess_workers, + "preprocessing_seconds": prepared.preprocessing_seconds, + "inference_pages_per_second": ( + len(pages) / stream_metrics["inference_seconds"] + if stream_metrics["inference_seconds"] > 0 + else None + ), + "complete_inference_pages_per_second": ( + completed / stream_metrics["inference_seconds"] + if stream_metrics["inference_seconds"] > 0 + else None + ), + "pipeline_seconds": elapsed, + "processed_pages_per_second": len(pages) / elapsed, + "complete_pages_per_second": completed / elapsed, + "stage_times": stage_times, + "requests": { + "fullpage": len(direct), + "detection": len(detection or []), + "crop": len(crop_responses), + }, + "token_limited_responses": dict(capped), + "completion_tokens": sum( + int(r.get("usage", {}).get("completion_tokens") or 0) for r in all_responses + ), + "postprocessing": asdict(parser.options), + "allow_partial": allow_partial, + "timing_excludes": [ + "initial image preparation", + "output serialization", + "server startup", + "warmup requests", + ], + "timing_includes": [ + "all mode inference stages", + "predicted-region crop preparation", + "merge and document rendering", + ], + } + return BatchResult(documents, metrics) diff --git a/nemotron_parse/engine/__init__.py b/nemotron_parse/engine/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..28a81be6930a6e76aa9c9a05c0cf8e4a199237ca --- /dev/null +++ b/nemotron_parse/engine/__init__.py @@ -0,0 +1,2 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 diff --git a/nemotron_parse/engine/caption_relocation.py b/nemotron_parse/engine/caption_relocation.py new file mode 100644 index 0000000000000000000000000000000000000000..74d3b8fd5fdfb55e0cf5c85c6ee46b0ab052f5ba --- /dev/null +++ b/nemotron_parse/engine/caption_relocation.py @@ -0,0 +1,89 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""Relocate only plain above-chart captions with geometric/preservation guards.""" +import re +from bs4 import BeautifulSoup + +BLOCK = re.compile( + r"()(.*?)(]+)>)", re.S +) + + +def plain(text): + text = text.replace("", "").strip() + if any(marker in text for marker in ["**", "__", "~~", "`"]): + return None + if re.search(r"(? other[1]: + continue # Attach above-object captions only; retain notes below as standalone. + width = min(box[2] - box[0], other[2] - other[0]) + overlap = max(0, min(box[2], other[2]) - max(box[0], other[0])) + gap = max(other[1] - box[3], box[1] - other[3]) + if width > 0 and overlap / width >= 0.8 and 0 <= gap <= 0.03: + candidates.append((gap, j)) + candidates.sort() + if not candidates or ( + len(candidates) > 1 and abs(candidates[0][0] - candidates[1][0]) < 1e-9 + ): + continue + gap, j = candidates[0] + eligible.setdefault(j, []).append((gap, i)) + for j, caps in eligible.items(): + caps.sort() + if len(caps) > 1 and abs(caps[0][0] - caps[1][0]) < 1e-9: + continue + caption_index = caps[0][1] + label = plain(matches[caption_index][4]) + m = matches[j] + body = m[4] + if len(re.findall(r"]*>)", lambda q: q[0] + "\ntitle: " + label, body, count=1 + ) + derived = m[1] + body + m[5] + rendered = render_base(derived) + # Do not move text unless it survives inside an actual table caption. + captions = BeautifulSoup(rendered, "html.parser").find_all("caption") + if not any(label in cap.get_text(" ", strip=True) for cap in captions): + continue + targets[m.start()] = derived + moved.add(matches[caption_index].start()) + if not targets: + return markdown + derived = BLOCK.sub( + lambda m: "" if m.start() in moved else targets.get(m.start(), m[0]), raw + ) + return render_base(derived) diff --git a/nemotron_parse/engine/chart_caption.py b/nemotron_parse/engine/chart_caption.py new file mode 100644 index 0000000000000000000000000000000000000000..779184c41cecfa4f3215a03164018788325fbb5a --- /dev/null +++ b/nemotron_parse/engine/chart_caption.py @@ -0,0 +1,71 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Render titles explicitly declared by native chart metadata as table captions.""" +import re +from html import escape + + +def transform(text): + changed = 0 + + def chart(m): + nonlocal changed + body = m[2] + if "" + + escape(title_text) + + "" + + "".join('' + escape(c) + "" for c in cells[0]) + + "" + ) + result += ( + "".join( + "" + + "".join("" + escape(c) + "" for c in row) + + "" + for row in cells[2:] + ) + + "\n" + ) + return result + + new = pattern.sub(table, body) + if not count: + return m[0] + # The title is rendered in its associated captions, retaining text and roles. + new = re.sub(r"(?m)^title:[ \t]*[^\n]*\n?", "", new, count=1) + changed += count + return m[1] + new + m[3] + + out = re.sub(r"(]*>)(.*?)()", chart, text, flags=re.S) + return out, changed diff --git a/nemotron_parse/engine/chart_context.py b/nemotron_parse/engine/chart_context.py new file mode 100644 index 0000000000000000000000000000000000000000..01dfae47a53e343fedd595f364ae644a5130304f --- /dev/null +++ b/nemotron_parse/engine/chart_context.py @@ -0,0 +1,40 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""Preserve explicit chart subtitles in their existing table-caption context.""" +import re +from bs4 import BeautifulSoup, NavigableString + +TABLE = re.compile(r"]*>.*?", re.S | re.I) +CHART = re.compile(r"(]*>)(.*?)()", re.S | re.I) + + +def add_native_subtitles(text): + def chart(match): + body = match[2] + labels = [ + m[1].strip() + for m in re.finditer(r"(?m)^subtitle:[ \t]*([^\n]*)", body) + if m[1].strip() + ] + if not labels: + return match[0] + + def table(m): + soup = BeautifulSoup(m[0], "html.parser") + node = soup.find("table") + cap = node.find("caption", recursive=False) + if not cap: + return m[0] + existing = cap.get_text(" ", strip=True) + added = [] + for value in labels: + if value not in existing and value not in added: + added.append(value) + if not added: + return m[0] + cap.append(NavigableString(" — " + " — ".join(added))) + return str(node) + + return match[1] + TABLE.sub(table, body) + match[3] + + return CHART.sub(chart, text) diff --git a/nemotron_parse/engine/convert/__init__.py b/nemotron_parse/engine/convert/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..28a81be6930a6e76aa9c9a05c0cf8e4a199237ca --- /dev/null +++ b/nemotron_parse/engine/convert/__init__.py @@ -0,0 +1,2 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 diff --git a/nemotron_parse/engine/convert/hybrid_cleanup.py b/nemotron_parse/engine/convert/hybrid_cleanup.py new file mode 100644 index 0000000000000000000000000000000000000000..bae9bd476d3b4386cfad861e43443e0f11ea1b46 --- /dev/null +++ b/nemotron_parse/engine/convert/hybrid_cleanup.py @@ -0,0 +1,67 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Escape LaTeX cell literals while preserving balanced nested inline markup.""" +import re + +ESCAPES = { + "#": r"\#", + "%": r"\%", + "$": r"\$", + "_": r"\_", + "~": r"\textasciitilde{}", + "^": r"\textasciicircum{}", +} +MATH_OR_TAG = re.compile(r"\$\$.*?\$\$|\$[^$]*\$|\\\(.*?\\\)|\\\[.*?\\\]|<[^>]+>", re.S) + + +def _process_cell(text, escape_literals): + def scan(position, closing=None, depth=0): + if depth > 64: + raise ValueError("inline_markup_nesting_too_deep") + output = [] + while position < len(text): + if closing and text.startswith(closing, position): + return "".join(output), position + len(closing), True + protected = MATH_OR_TAG.match(text, position) + if protected: + output.append(protected[0]) + position = protected.end() + continue + if text[position] == "\\": + # Preserve escaped literals and command prefixes. Formatting + # inside command arguments is still scanned when reached. + output.append(text[position : position + 2]) + position += 2 + continue + marker = next( + (m for m in ("**", "__", "~~", "_") if text.startswith(m, position)), + None, + ) + if marker: + body, end, balanced = scan(position + len(marker), marker, depth + 1) + if balanced: + if escape_literals: + output.extend((marker, body, marker)) + else: + tag = {"**": "b", "__": "b", "_": "i", "~~": "s"}[marker] + output.extend(("<" + tag + ">", body, "")) + position = end + continue + output.append( + ESCAPES.get(text[position], text[position]) + if escape_literals + else text[position] + ) + position += 1 + return "".join(output), position, closing is None + + return scan(0)[0] + + +def escape_cell(text): + return _process_cell(text, True) + + +def decode_styles(text): + return _process_cell(text, False) diff --git a/nemotron_parse/engine/convert/hybrid_inline.py b/nemotron_parse/engine/convert/hybrid_inline.py new file mode 100644 index 0000000000000000000000000000000000000000..5545855e97aee0afa3dd5a1ec01342a44b3c4ff2 --- /dev/null +++ b/nemotron_parse/engine/convert/hybrid_inline.py @@ -0,0 +1,164 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Bounded Markdown/markup inline dialect inside LaTeX table cells. + +Escaped punctuation is literal. Formatting is parsed before literal decoding; +literal text is never reparsed as markup. Unknown syntax fails explicitly. +""" +import html +import re +from bs4 import NavigableString, BeautifulSoup + +try: + from .semantic_styles import mark_open, ALIASES +except ImportError: + from semantic_styles import mark_open, ALIASES +try: + from .rich_table_reader import TAGS, LITERALS, argument +except ImportError: + from rich_table_reader import TAGS, LITERALS, argument + +ESC = { + "&": r"\&", + "%": r"\%", + "$": r"\$", + "#": r"\#", + "_": r"\_", + "*": r"\*", + "{": r"\{", + "}": r"\}", + "\\": r"\textbackslash{}", + "~": r"\textasciitilde{}", + "^": r"\textasciicircum{}", + "<": r"\textless{}", + ">": r"\textgreater{}", +} + + +def encode_node(node): + if isinstance(node, NavigableString): + return "".join(ESC.get(char, char) for char in str(node)) + if node.name == "mark": + return ( + mark_open(node) + + "".join(encode_node(child) for child in node.contents) + + "" + ) + if node.name in ALIASES: + node = BeautifulSoup(str(node), "html.parser").find() + node.name = ALIASES[node.name] + if node.name == "br": + return r"\linebreak{}" + content = "".join(encode_node(child) for child in node.contents) + if node.name in {"b", "strong"}: + return "**" + content + "**" + if node.name in {"i", "em"}: + # The historical cleanup deliberately strips single punctuation emphasis. + # Markup preserves that uncommon case without changing global cleanup. + before = str(node.previous_sibling or "")[-1:] + after = str(node.next_sibling or "")[:1] + if ( + re.fullmatch(r"\\?[\W_]", node.get_text()) + or not node.get_text().strip() + or re.match(r"\w", before) + or re.match(r"\w", after) + ): + return "" + content + "" + return "_" + content + "_" + if node.name == "s": + return "~~" + content + "~~" + if node.name == "u": + return "" + content + "" + if node.name in {"sup", "sub"}: + return "<" + node.name + ">" + content + "" + return content + + +def inline_html(text): + def parse(position, closing=None): + output = [] + while position < len(text): + if closing and text.startswith(closing, position): + return "".join(output), position + len(closing) + if text.startswith("
", position): + output.append("
") + position += 4 + continue + if text[position] == "\n": + output.append("
") + position += 1 + continue + mark = re.match(r"]*)?>", text[position:], re.I) + if mark: + opener = mark_open( + BeautifulSoup(mark[0] + "", "html.parser").mark + ) + inner, position = parse(position + len(mark[0]), "") + output.append(opener + inner + "") + continue + marker = next( + ( + m + for m in ("**", "_", "~~", "", "", "", "", "") + if text.startswith(m, position) + ), + None, + ) + if marker: + tag = { + "**": "b", + "_": "i", + "~~": "s", + "": "u", + "": "s", + "": "i", + "": "sup", + "": "sub", + }[marker] + end = marker if marker in {"**", "_", "~~"} else "" + inner, position = parse(position + len(marker), end) + output.append("<" + tag + ">" + inner + "") + continue + if text[position] != "\\": + if text[position] in "%$#_*{}^~<>": + raise ValueError("unsupported_unescaped_hybrid_special") + output.append(html.escape(text[position])) + position += 1 + continue + if position + 1 < len(text) and text[position + 1] in "&%$#_*{}": + output.append(html.escape(text[position + 1])) + position += 2 + continue + match = re.match(r"\\([A-Za-z]+)", text[position:]) + if not match: + raise ValueError("unsupported_hybrid_escape") + command = match[1] + position += len(match[0]) + body, position = argument(text, position) + if command == "colorbox": + color = body + body, position = argument(text, position) + node = BeautifulSoup("", "html.parser").mark + node["background"] = color + output.append(mark_open(node) + inline_html(body) + "") + continue + if command == "hl": + output.append("" + inline_html(body) + "") + continue + if command == "linebreak" and not body: + output.append("
") + elif command == "mbox" and not body: + pass + elif command in TAGS: + tag = TAGS[command] + output.append("<" + tag + ">" + inline_html(body) + "") + elif command in LITERALS and not body: + output.append(html.escape(LITERALS[command])) + else: + raise ValueError("unsupported_hybrid_command_" + command) + if closing: + raise ValueError("unclosed_hybrid_style_" + closing) + return "".join(output), position + + return parse(0)[0] diff --git a/nemotron_parse/engine/convert/latex2html.py b/nemotron_parse/engine/convert/latex2html.py new file mode 100644 index 0000000000000000000000000000000000000000..52044c645944d1599c49535e6fc4db193d888031 --- /dev/null +++ b/nemotron_parse/engine/convert/latex2html.py @@ -0,0 +1,653 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +import csv +import io +import json +import re + +from bs4 import BeautifulSoup + + +def skip_whitespace(text, i): + """Advance index i past any whitespace.""" + while i < len(text) and text[i].isspace(): + i += 1 + return i + + +def parse_braced_argument(text, i): + """ + Given text and an index i that should point at an opening '{', + return a tuple (argument_content, new_index) where argument_content is the full + string inside the balanced braces and new_index is the position just after the matching '}'. + """ + if i >= len(text) or text[i] != "{": + raise ValueError("Expected '{' at position {}".format(i)) + i += 1 # skip the opening brace + start = i + level = 1 + while i < len(text) and level > 0: + if text[i] == "{": + level += 1 + elif text[i] == "}": + level -= 1 + i += 1 + if level != 0: + raise ValueError("Unbalanced braces starting at position {}".format(start - 1)) + # The argument content is from start to i-1 (excluding the closing brace) + return text[start : i - 1], i + + +def parse_command(text, i): + r""" + Parse a \multirow or \multicolumn command starting at index i. + This function assumes the command has exactly three braced arguments. + + It processes each argument recursively. For the third argument, after recursive processing, + it replaces any unescaped & with \&. + + Returns a tuple (command_text, new_index) where command_text is the reconstructed command. + """ + # Determine which command we have. + if text.startswith(r"\multirow", i): + command_name = r"\multirow" + i += len(r"\multirow") + elif text.startswith(r"\multicolumn", i): + command_name = r"\multicolumn" + i += len(r"\multicolumn") + else: + raise ValueError( + "Expected \\multirow or \\multicolumn at position {}".format(i) + ) + + # Skip whitespace between the command name and the first argument. + i = skip_whitespace(text, i) + args = [] + # Expect exactly three arguments + for arg_index in range(3): + if i >= len(text) or text[i] != "{": + raise ValueError( + "Expected '{' for argument {} at position {}".format(arg_index + 1, i) + ) + arg_content, i = parse_braced_argument(text, i) + # Process the content recursively to catch nested commands + processed_arg = clean_multi_cells(arg_content) + if arg_index == 2: + # For the cell text (third argument), replace any unescaped & + processed_arg = re.sub(r"(?= len(s) or s[pos] != "{": + raise ValueError("Expected '{' at position %d" % pos) + pos += 1 # skip the opening brace + content = "" + depth = 1 + while pos < len(s) and depth: + char = s[pos] + if char == "{": + depth += 1 + content += char + elif char == "}": + depth -= 1 + if depth: + content += char + else: + content += char + pos += 1 + if depth != 0: + raise ValueError("Unmatched '{' in string.") + return content, pos + + +def parse_command_merge(s, pos): + """ + Parse a multirow or multicolumn command starting at s[pos]. If the content + of the command contains a nested command, then recursively parse the inner + command and merge its parameters with the outer ones. The merging is done + so that the outer multirow’s parameters (e.g. rowspan and width) are kept + while the inner command’s parameters (e.g. colspan, alignment) and its innermost + content are returned. + + Returns a tuple (merged_dict, new_pos) where merged_dict is a dictionary + containing the combined parameters and new_pos is the updated index after + parsing the command. + """ + if s.startswith(r"\multirow", pos): + newpos = pos + len(r"\multirow") + # Parse the three required arguments for multirow: rowspan, width, and content. + rowspan, newpos = parse_brace(s, newpos) + width, newpos = parse_brace(s, newpos) + content, newpos = parse_brace(s, newpos) + # Look for a nested command (either \multirow or \multicolumn) in the content. + index_mr = content.find(r"\multirow") + index_mc = content.find(r"\multicolumn") + if index_mr == -1 and index_mc == -1: + # No nested command found; return this command’s details. + return { + "rowspan": rowspan.strip(), + "width": width.strip(), + "content": content.strip(), + }, newpos + else: + # At least one nested command is present. Pick the first occurrence. + indices = [i for i in (index_mr, index_mc) if i != -1] + first_index = min(indices) + # Parse the inner (nested) command from within the content. + inner, _ = parse_command_merge(content, first_index) + # Merge: keep the outer multirow’s parameters and add the inner ones. + merged = {"rowspan": rowspan.strip(), "width": width.strip()} + merged.update(inner) + return merged, newpos + + elif s.startswith(r"\multicolumn", pos): + newpos = pos + len(r"\multicolumn") + # Parse the three arguments for multicolumn: colspan, alignment, and content. + colspan, newpos = parse_brace(s, newpos) + alignment, newpos = parse_brace(s, newpos) + content, newpos = parse_brace(s, newpos) + # Look for a nested command in the content. + index_mr = content.find(r"\multirow") + index_mc = content.find(r"\multicolumn") + if index_mr == -1 and index_mc == -1: + return { + "colspan": colspan.strip(), + "alignment": alignment.strip(), + "content": content.strip(), + }, newpos + else: + indices = [i for i in (index_mr, index_mc) if i != -1] + first_index = min(indices) + inner, _ = parse_command_merge(content, first_index) + merged = {"colspan": colspan.strip(), "alignment": alignment.strip()} + merged.update(inner) + return merged, newpos + + # Not a recognized command starting at pos. + return None, pos + + +def extract_merged_commands(s): + """ + Scan through the LaTeX string s and extract merged multirow/multicolumn commands. + For each command found, if there is nesting the parser merges the outer and inner + parameters so that the final result includes both the rowspan (or width) and the colspan + (or alignment) along with the innermost content. + + Returns a list of dictionaries. + """ + pos = 0 + results = [] + while pos < len(s): + if s[pos] == "\\": + res, newpos = parse_command_merge(s, pos) + if res is not None: + results.append(res) + pos = newpos + continue + pos += 1 + return results + + +def remove_tags(html, tags_to_remove): + soup = BeautifulSoup(html, "html.parser") + # Loop through the tags to remove + for tag_name in tags_to_remove: + for tag in soup.find_all(tag_name): + # Move the children of the tag to the parent tag + tag.unwrap() # This removes the tag but keeps its contents + # Return the modified HTML as a string + return str(soup) + + +def convert_th_to_td(html): + """Replace all th tags with td tags""" + soup = BeautifulSoup(html, "html.parser") + for th_tag in soup.find_all("th"): + th_tag.name = "td" + return str(soup) + + +def replace_italic(text): + pattern = re.compile(r"(?{content}" + + # Replace all occurrences of the pattern using the replacer function. + return pattern.sub(italic_replacer, text) + + +def replace_bold(text): + pattern = re.compile(r"(?{content}" + + return pattern.sub(bold_replacer, text) + + +def latex_table_to_html(latex_str, add_head_body=False): + # Strict paired reader for rich distillation targets; legacy syntax follows. + try: + from .rich_table_reader import to_html as rich_to_html + except ImportError: + from rich_table_reader import to_html as rich_to_html + try: + from .rich_table_fallback import decode_known_inline, restore_header_cells + except ImportError: + from rich_table_fallback import decode_known_inline, restore_header_cells + # Pattern to match the entire tabular environment + table_pattern = r"\\begin{tabular}{([^}]*)}\s*(.*?)\\end{tabular}" + + def process_cell(cell): + # Clean up cell content + cell = cell.strip() + if re.fullmatch(r"\{\s*\}", cell): + cell = "" + + out = extract_merged_commands(cell) + if len(out) > 0: + cell = process_cell(out[0]["content"])["content"] + rowspan = int(out[0].get("rowspan", "1")) + colspan = int(out[0].get("colspan", "1")) + return {"content": cell, "colspan": colspan, "rowspan": rowspan} + + # Replace latex and markdown formatting with HTML tags + cell = re.sub(r"\$([^$]*)\$", r"\1", cell) # Remove math mode + cell = re.sub(r"\\textbf{([^}]*)}", r"\1", cell) # Convert latex bold + cell = re.sub(r"\\textit{([^}]*)}", r"\1", cell) # Convert latex italic + cell = re.sub(r"\\emph{([^}]*)}", r"\1", cell) + cell = re.sub(r"\\underline{([^}]*)}", r"\1", cell) + cell = re.sub(r"\\(?:sout|st){([^}]*)}", r"\1", cell) + cell = replace_italic(cell) + cell = replace_bold(cell) + cell = ( + cell.replace("\\$", "$") + .replace("\\%", "%") + .replace("\\newline", "
") + .replace("\\textless", "<") + .replace("\\textgreater", ">") + .replace("\\*", "*") + .replace("\\_", "_") + .replace("\\backslash", "\\") + ) + + # Replace \& with & in the cell text + cell = cell.replace(r"\&", "&") + cell = cell.replace("", "") + cell = re.sub(r"(?:\r?\n|)+", "
", cell, flags=re.IGNORECASE) + # Preserve in-cell line breaks as
; clean other tokens. + cell = ( + cell.replace("\\unknown", "") + .replace("\\<|unk|\\>", "") + .replace("", "") + .replace("", "") + ) + return {"content": cell, "colspan": 1, "rowspan": 1} + + def split_row(input_string): + # Use a regular expression to split on '&' that is not preceded by a backslash + return re.split(r"(?"] + + # Track cells for multirow + multirow_tracker = set() + + # Process rows + rows = re.split(r"\\\\", content) + current_row = 0 + + for row in rows: + if not row.strip(): + continue + + row = row.strip() + + # Skip \hline + if "\\hline" in row: + row = row.replace("\\hline", "") + if not row.strip(): + continue + + row = clean_multi_cells(row) + + # Process cells + cells = split_row(row) + processed_cells = [process_cell(cell) for cell in cells] + + if add_head_body: + if current_row == 0: + html.append(" ") + if current_row == 1: + html.append(" ") + html.append(" ") + current_col = 0 + + for cell in processed_cells: + content_segment = cell["content"] + + attrs = [] + if cell["colspan"] > 1: + attrs.append(f'colspan="{cell["colspan"]}"') + if cell["rowspan"] > 1: + attrs.append(f'rowspan="{cell["rowspan"]}"') + for r in range(current_row + 1, current_row + cell["rowspan"]): + for c in range(current_col, current_col + cell["colspan"]): + multirow_tracker.add((r, c)) + + # Empty multicolumn placeholders under a prior multirow are + # covered cells too. Skip only a fully occupied, empty span; + # do not remove content or infer missing/partial occupancy. + if ( + content_segment == "" + and cell["rowspan"] == 1 + and cell["colspan"] >= 1 + and all( + (current_row, col) in multirow_tracker + for col in range(current_col, current_col + cell["colspan"]) + ) + ): + current_col += cell["colspan"] + continue + + attr_str = " " + " ".join(attrs) if attrs else "" + cell_tag = "td" + html.append(f" <{cell_tag}{attr_str}>{content_segment}") + current_col += cell["colspan"] + + if add_head_body and current_row == 0: + html.append(" ") + html.append(" ") + current_row += 1 + if add_head_body: + html.append(" ") + html.append("") + return restore_header_cells("\n".join(html)) + + # Convert all tabular environments in the input + return re.sub(table_pattern, convert_table, latex_str, flags=re.DOTALL) + + +def convert_single_table(table): + """ + Convert a single HTML table to Markdown format. + + Args: + table: BeautifulSoup table element + + Returns: + str: Markdown table string + """ + markdown_lines = [] + rows = table.find_all("tr") + + for i, row in enumerate(rows): + cells = row.find_all(["td", "th"]) + if not cells: + continue + + # Convert cells to text, handling nested elements + row_data = [] + for cell in cells: + # Get text content, handling nested elements + cell_text = cell.get_text(separator=" ", strip=True) + # Escape pipe characters + cell_text = cell_text.replace("|", "\\|") + row_data.append(cell_text) + + # Add row to markdown + markdown_lines.append("| " + " | ".join(row_data) + " |") + + # Add separator after header row + if i == 0: + separator = "| " + " | ".join(["---"] * len(cells)) + " |" + markdown_lines.append(separator) + + return "\n".join(markdown_lines) + + +def convert_html_tables_to_markdown(html_content): + """ + Find all HTML tables and convert them to Markdown while preserving all other content. + + Args: + html_content (str): HTML content that may contain tables + + Returns: + str: HTML content with tables converted to Markdown + """ + soup = BeautifulSoup(html_content, "html.parser") + + # Find all tables + tables = soup.find_all("table") + + if not tables: + return html_content # Return original content unchanged + + # Convert each table to markdown and replace it + for table in tables: + markdown_table = convert_single_table(table) + + # Create a new element to replace the table + replacement = soup.new_string("\n" + markdown_table + "\n") + table.replace_with(replacement) + + return str(soup) + + +def _expand_spans(table): + """ + Expand colspan/rowspan in a BeautifulSoup into a regular grid. + Returns a list-of-lists of cell text strings. + """ + rows = table.find_all("tr") + if not rows: + return [] + + num_cols = 0 + for row in rows: + col_count = sum(int(c.get("colspan", 1)) for c in row.find_all(["td", "th"])) + num_cols = max(num_cols, col_count) + + grid = [[None] * num_cols for _ in range(len(rows))] + + for r, row in enumerate(rows): + cells = row.find_all(["td", "th"]) + c = 0 + for cell in cells: + while c < num_cols and grid[r][c] is not None: + c += 1 + if c >= num_cols: + break + + colspan = int(cell.get("colspan", 1)) + rowspan = int(cell.get("rowspan", 1)) + text = cell.get_text(separator=" ", strip=True) + + for dr in range(rowspan): + for dc in range(colspan): + rr, cc = r + dr, c + dc + if rr < len(grid) and cc < num_cols: + grid[rr][cc] = text + c += colspan + + for row in grid: + for i in range(len(row)): + if row[i] is None: + row[i] = "" + + return grid + + +def _grid_to_records(grid): + """ + Convert a grid (list-of-lists) to a list of dicts using the first row as + column headers. Duplicate or empty headers get disambiguated with a suffix. + """ + if len(grid) < 2: + return grid + + raw_headers = grid[0] + headers = [] + seen = {} + for h in raw_headers: + key = h if h else "column" + if key in seen: + seen[key] += 1 + key = f"{key}_{seen[key]}" + else: + seen[key] = 0 + headers.append(key) + + return [dict(zip(headers, row)) for row in grid[1:]] + + +def convert_html_table_to_json(html_content, records=True): + """ + Convert HTML tables produced by ``latex_table_to_html`` into JSON. + + Parameters + ---------- + html_content : str + HTML string (may contain one or more ``
`` elements and + surrounding non-table text). + records : bool + If *True* (default) the first row is treated as a header and each + subsequent row becomes a ``{header: value, ...}`` dict. + If *False* the table is returned as a plain list-of-lists. + + Returns + ------- + str + A JSON string. If the input contains a single table the top-level + value is a list (of dicts or lists). If there are multiple tables + the top-level value is a list of such lists. + """ + soup = BeautifulSoup(html_content, "html.parser") + tables = soup.find_all("table") + + if not tables: + return html_content + + results = [] + for table in tables: + grid = _expand_spans(table) + if records: + results.append(_grid_to_records(grid)) + else: + results.append(grid) + + payload = results[0] if len(results) == 1 else results + return json.dumps(payload, ensure_ascii=False, indent=2) + + +def convert_html_table_to_csv(html_content): + """ + Convert HTML tables produced by ``latex_table_to_html`` into CSV. + + Each table becomes a CSV block separated by a blank line. + + Returns + ------- + str + CSV-formatted string. + """ + soup = BeautifulSoup(html_content, "html.parser") + tables = soup.find_all("table") + + if not tables: + return html_content + + csv_blocks = [] + for table in tables: + grid = _expand_spans(table) + buf = io.StringIO() + writer = csv.writer(buf) + writer.writerows(grid) + csv_blocks.append(buf.getvalue().rstrip("\r\n")) + + return "\n\n".join(csv_blocks) diff --git a/nemotron_parse/engine/convert/rich_table_fallback.py b/nemotron_parse/engine/convert/rich_table_fallback.py new file mode 100644 index 0000000000000000000000000000000000000000..8471cc25bfbf302f86f2b30437acbfa7dbbfd039 --- /dev/null +++ b/nemotron_parse/engine/convert/rich_table_fallback.py @@ -0,0 +1,105 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Decode known rich inline commands for the legacy tabular fallback. + +Used only after strict rich-grid parsing fails. This preserves unknown commands +and malformed arguments; it never invents cell contents or repairs table spans. +""" +import html +import re + +try: + from .hybrid_cleanup import decode_styles +except ImportError: + from hybrid_cleanup import decode_styles + +try: + from .rich_table_reader import TAGS, LITERALS, argument +except ImportError: + from rich_table_reader import TAGS, LITERALS, argument + + +def decode_known_inline(text, _depth=0): + """Decode balanced, recognized inline arguments without exposing delimiters.""" + if _depth > 64: + return text + out = [] + i = 0 + known = set(TAGS) | set(LITERALS) | {"thead", "linebreak", "mbox", "hl", "colorbox"} + while i < len(text): + # Preserve escaped literal characters. In particular, an escaped + # backslash followed by 'thead' must not become a formatting command. + if text[i] == "\\" and i + 1 < len(text) and not text[i + 1].isalpha(): + literal = text[i + 1] + out.append( + "\\&#" + str(ord(literal)) + ";" + if literal in "&%$#_*{}" + else text[i : i + 2] + ) + i += 2 + continue + match = re.match(r"\\([A-Za-z]+)\{", text[i:]) + if not match or match[1] not in known: + out.append(text[i]) + i += 1 + continue + command = match[1] + try: + body, end = argument(text, i + len(command) + 1) + except ValueError: + out.append(text[i]) + i += 1 + continue + if command in {"hl", "colorbox"}: + try: + from .semantic_styles import mark_open + except ImportError: + from semantic_styles import mark_open + from bs4 import BeautifulSoup + + node = BeautifulSoup("", "html.parser").mark + if command == "colorbox": + node["background"] = body + try: + body, end = argument(text, end) + except ValueError: + out.append(text[i:end]) + i = end + continue + out.append( + mark_open(node) + decode_known_inline(body, _depth + 1) + "" + ) + elif command in TAGS or command == "thead": + inner = decode_known_inline(body, _depth + 1) + tag = "nvp-header-cell" if command == "thead" else TAGS[command] + out.append("<" + tag + ">" + inner + "") + elif command in LITERALS and not body: + # Entities cannot be mistaken for LaTeX row/column delimiters. + out.append("\\&#" + str(ord(LITERALS[command])) + ";") + elif command == "linebreak" and not body: + out.append("") + elif command == "mbox" and not body: + pass + else: + out.append(text[i:end]) + i = end + return decode_styles("".join(out)) + + +def restore_header_cells(html_text): + from bs4 import BeautifulSoup + + # Restore explicit breaks after legacy whitespace normalization, which + # otherwise collapses consecutive linebreak commands. + html_text = html_text.replace("", "
") + if "" not in html_text: + return html_text + soup = BeautifulSoup(html_text, "html.parser") + for cell in soup.find_all(["td", "th"]): + markers = cell.find_all("nvp-header-cell") + if markers: + cell.name = "th" + for marker in markers: + marker.unwrap() + return str(soup) diff --git a/nemotron_parse/engine/convert/rich_table_reader.py b/nemotron_parse/engine/convert/rich_table_reader.py new file mode 100644 index 0000000000000000000000000000000000000000..df294d6d40a729d9f97d7efc57014b2218e86c61 --- /dev/null +++ b/nemotron_parse/engine/convert/rich_table_reader.py @@ -0,0 +1,164 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Strict rich_tabular_v3 reverse reader. Other LaTeX uses the legacy parser.""" +import html, re + +TAGS = { + "textstrong": "b", + "textem": "i", + "textbf": "b", + "textit": "i", + "underline": "u", + "sout": "s", + "textsuperscript": "sup", + "textsubscript": "sub", +} + +LITERALS = { + "textbackslash": "\\", + "textasciitilde": "~", + "textasciicircum": "^", + "textless": "<", + "textgreater": ">", +} + + +def split_top(text, delimiter): + parts = [] + start = 0 + depth = 0 + i = 0 + while i < len(text): + if depth == 0 and text.startswith(delimiter, i): + parts.append(text[start:i]) + i += len(delimiter) + start = i + continue + if text[i] == "\\": + i += 2 + continue + if text[i] == "{": + depth += 1 + elif text[i] == "}": + depth -= 1 + if depth < 0: + raise ValueError("unbalanced_generated_latex") + i += 1 + if depth: + raise ValueError("unbalanced_generated_latex") + parts.append(text[start:]) + return parts + + +def argument(text, pos): + if pos >= len(text) or text[pos] != "{": + raise ValueError("expected_braced_argument") + start = pos + 1 + depth = 1 + pos += 1 + while pos < len(text): + if text[pos] == "\\": + pos += 2 + continue + if text[pos] == "{": + depth += 1 + elif text[pos] == "}": + depth -= 1 + if depth == 0: + return text[start:pos], pos + 1 + pos += 1 + raise ValueError("unbalanced_generated_latex") + + +def inline_html(text): + try: + from .hybrid_inline import inline_html as decode + except ImportError: + from hybrid_inline import inline_html as decode + return decode(text) + + +def cell_parts(text): + text = text.strip() + rs = cs = 1 + while text.startswith((r"\multicolumn", r"\multirow")): + command = "multicolumn" if text.startswith(r"\multicolumn") else "multirow" + pos = len(command) + 1 + count, pos = argument(text, pos) + _, pos = argument(text, pos) + body, pos = argument(text, pos) + if text[pos:].strip(): + raise ValueError("trailing_span_content") + if command == "multicolumn": + cs = int(count) + else: + rs = int(count) + text = body + header = False + if text.startswith(r"\thead{"): + body, end = argument(text, len(r"\thead")) + if text[end:].strip(): + raise ValueError("trailing_header_content") + text = body + header = True + return rs, cs, inline_html(text), header + + +def to_html(latex): + m = re.fullmatch( + r"\\begin\{tabular\}\{[clrx]+\}\n(.*?)\n\\end\{tabular\}", latex, re.S + ) + if not m: + raise ValueError("unsupported_generated_tabular") + rows = split_top(m.group(1), r"\\") + if rows[-1].strip(): + raise ValueError("missing_final_row_separator") + columns = len(re.match(r"\\begin\{tabular\}\{([clrx]+)\}", latex).group(1)) + rows.pop() + occupied = set() + out = ["
"] + if not rows or len(rows) > 4096 or columns > 512: + raise ValueError("generated_grid_size") + for r, row in enumerate(rows): + out.append("") + c = 0 + for part in split_top(row, "&"): + rs, cs, content, header = cell_parts(part) + if rs < 1 or cs < 1 or r + rs > len(rows) or c + cs > columns: + raise ValueError("invalid_generated_span") + if (r, c) in occupied: + if content or header or rs != 1: + raise ValueError("nonempty_span_placeholder") + if any((r, cc) not in occupied for cc in range(c, c + cs)): + raise ValueError("invalid_span_placeholder") + c += cs + continue + if any( + (rr, cc) in occupied + for rr in range(r, r + rs) + for cc in range(c, c + cs) + ): + raise ValueError("overlapping_generated_span") + tag = "th" if header else "td" + out.append( + "<" + + tag + + ' rowspan="' + + str(rs) + + '" colspan="' + + str(cs) + + '">' + + content + + "" + ) + for rr in range(r, r + rs): + for cc in range(c, c + cs): + occupied.add((rr, cc)) + c += cs + if c != columns: + raise ValueError("generated_column_count") + out.append("") + return "".join(out) + "
" diff --git a/nemotron_parse/engine/convert/semantic_styles.py b/nemotron_parse/engine/convert/semantic_styles.py new file mode 100644 index 0000000000000000000000000000000000000000..917e7f4066a7cbfd3a27498ff7b387fe58faca6a --- /dev/null +++ b/nemotron_parse/engine/convert/semantic_styles.py @@ -0,0 +1,68 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Lossless, bounded semantic inline styles shared by table and page conversion.""" +import html +import re +from bs4 import BeautifulSoup + +ALIASES = { + "strong": "b", + "em": "i", + "ins": "u", + "underline": "u", + "del": "s", + "strike": "s", +} + + +# Highlight color is deliberately outside the training target contract. +def mark_color(node): + return None + + +def mark_open(node): + return "" + + +def normalize_semantic_html(value): + soup = BeautifulSoup(str(value), "html.parser") + for node in list(soup.find_all(True)): + node.name = ALIASES.get(node.name, node.name) + if node.name == "mark": + node.attrs = {} + if node.name != "span": + continue + props = { + k.strip().lower(): v.strip().lower() + for part in str(node.get("style", "")).split(";") + for k, sep, v in [part.partition(":")] + if sep + } + styles = [] + if props.get("font-weight") in ["bold", "bolder", "600", "700", "800", "900"]: + styles.append("b") + if props.get("font-style") in ["italic", "oblique"]: + styles.append("i") + decoration = ( + props.get("text-decoration", "") + + " " + + props.get("text-decoration-line", "") + ) + if "underline" in decoration: + styles.append("u") + if "line-through" in decoration: + styles.append("s") + if props.get("vertical-align") in ["super", "sub"]: + styles.append("sup" if props["vertical-align"] == "super" else "sub") + if props.get("background-color") or props.get("background"): + styles.append("mark") + if not styles: + continue + for name in reversed(styles): + inner = soup.new_tag(name) + for child in list(node.contents): + inner.append(child.extract()) + node.append(inner) + node.unwrap() + return soup diff --git a/nemotron_parse/engine/geometry.py b/nemotron_parse/engine/geometry.py new file mode 100644 index 0000000000000000000000000000000000000000..6491206407cc9671051251bfe9f679c5452af32a --- /dev/null +++ b/nemotron_parse/engine/geometry.py @@ -0,0 +1,438 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +from __future__ import annotations + +import argparse + + +import base64 + + +import json + + +import math + + +import mimetypes + + +import re + + +from dataclasses import dataclass + + +from pathlib import Path + + +from typing import Any + + +import numpy as np + + +from PIL import Image + + +BLOCK_RE = re.compile( + r"(.*?)" + r"]+)>", + re.MULTILINE | re.DOTALL, +) + + +@dataclass(frozen=True) +class PageImage: + key: str + image_name: str + image_path: Path + width: int + height: int + category: str | None = None + + +@dataclass(frozen=True) +class CropSpec: + crop_id: str + page_key: str + image_name: str + page_image_path: str + crop_image_name: str + crop_image_path: str + element_index: int + detector_label: str + detector_score: float + detector_bbox_norm: tuple[float, float, float, float] + crop_bbox_pixels: tuple[int, int, int, int] + page_size: tuple[int, int] + + +def write_jsonl(path: Path, rows: list[dict[str, Any]]) -> None: + path.parent.mkdir(parents=True, exist_ok=True) + with path.open("w", encoding="utf-8") as f: + for row in rows: + f.write(json.dumps(row, ensure_ascii=False) + "\n") + + +def normalize_detector_label(label: Any, labels: Any = None) -> str: + if isinstance(label, (int, float, np.integer, np.floating)) and labels is not None: + try: + label_idx = int(label) + if isinstance(labels, dict): + label = labels.get(label_idx, labels.get(str(label_idx), label)) + else: + label = labels[label_idx] + except Exception: + pass + text = str(label).strip().lower() + text = ( + text.replace("&", "and").replace("/", "_").replace("-", "_").replace(" ", "_") + ) + text = text.replace("__", "_") + text = re.sub(r"_+", "_", text).strip("_") + if text in { + "headers_and_footers", + "header_and_footer", + "header_footer", + "headers_footers", + }: + return "header_footer" + if text in { + "header", + "footer", + "page_header", + "page_footer", + "header_image", + "footer_image", + }: + return "header_footer" + if text in {"tables"}: + return "table" + if text in {"charts"}: + return "chart" + if text in { + "texts", + "paragraph", + "paragraphs", + "paragraph_title", + "content", + "abstract", + "references", + "reference", + "reference_content", + "footnote", + "page_number", + "number", + "formula", + "formula_number", + "inline_formula", + "display_formula", + "algorithm", + "aside_text", + "sidebar_text", + "list", + "lists", + "vertical_text", + }: + return "text" + if text in { + "title", + "titles", + "document_title", + "section_header", + "figure_title", + "table_title", + "chart_title", + "figure_table_title", + "figure_caption", + "table_caption", + "image_caption", + }: + return "title" + if text in { + "image", + "images", + "figure", + "figures", + "picture", + "pictures", + "seal", + "stamp", + }: + return "infographic" + if text in {"infographics"}: + return "infographic" + return text + + +def parse_label_filter(value: str) -> set[str]: + if value.strip().lower() in {"", "*", "all"}: + return set() + return {normalize_detector_label(item) for item in value.split(",") if item.strip()} + + +def clamp(value: float, low: float = 0.0, high: float = 1.0) -> float: + return min(high, max(low, value)) + + +def crop_bbox_pixels( + bbox_norm: tuple[float, float, float, float], + width: int, + height: int, + *, + margin_px: int, + margin_ratio: float, +) -> tuple[int, int, int, int]: + x1, y1, x2, y2 = bbox_norm + px1, py1, px2, py2 = x1 * width, y1 * height, x2 * width, y2 * height + mx = margin_px + (px2 - px1) * margin_ratio + my = margin_px + (py2 - py1) * margin_ratio + left = max(0, math.floor(px1 - mx)) + top = max(0, math.floor(py1 - my)) + right = min(width, math.ceil(px2 + mx)) + bottom = min(height, math.ceil(py2 + my)) + return left, top, right, bottom + + +def filter_detection_rows( + args: argparse.Namespace, rows: list[dict[str, Any]] +) -> list[dict[str, Any]]: + include_labels = parse_label_filter(args.include_detector_labels) + filtered_rows = [] + for row in rows: + detections = [] + for det in row.get("detections") or []: + label = normalize_detector_label(det.get("label") or "") + if include_labels and label not in include_labels: + continue + if float(det.get("score") or 0.0) < args.detector_score_min: + continue + kept = dict(det) + kept["label"] = label + detections.append(kept) + if args.detector_order == "spatial": + detections.sort( + key=lambda item: ( + item["bbox_norm"][1], + item["bbox_norm"][0], + -float(item.get("score") or 0.0), + ) + ) + if args.max_elements_per_page > 0: + detections = detections[: args.max_elements_per_page] + out = dict(row) + out["detections"] = detections + filtered_rows.append(out) + return filtered_rows + + +def make_fallback_detection(page: PageImage) -> dict[str, Any]: + return { + "label": "text", + "score": 0.0, + "bbox_norm": [0.0, 0.0, 1.0, 1.0], + "fallback": True, + } + + +def build_crops( + args: argparse.Namespace, + pages: list[PageImage], + detections: list[dict[str, Any]], + crops_dir: Path, + crops_manifest_path: Path, +) -> list[CropSpec]: + pages_by_name = {page.image_name: page for page in pages} + pages_by_key = {page.key: page for page in pages} + crops: list[CropSpec] = [] + for row in detections: + page = pages_by_key.get(str(row.get("key"))) or pages_by_name.get( + str(row.get("image_name")) + ) + if page is None: + continue + items = list(row.get("detections") or []) + if not items and args.fallback_full_page: + items = [make_fallback_detection(page)] + if not items: + continue + with Image.open(page.image_path) as image: + image = image.convert("RGB") + for element_index, det in enumerate(items): + bbox_norm = tuple(float(v) for v in det["bbox_norm"]) + crop_px = crop_bbox_pixels( + bbox_norm, + page.width, + page.height, + margin_px=args.crop_margin_px, + margin_ratio=args.crop_margin_ratio, + ) + left, top, right, bottom = crop_px + if ( + right - left < args.min_crop_size + or bottom - top < args.min_crop_size + ): + continue + crop_image_name = f"{page.key}__pe_{element_index:03d}.jpg" + crop_image_path = crops_dir / crop_image_name + crop_image_path.parent.mkdir(parents=True, exist_ok=True) + if not crop_image_path.is_file() or crop_image_path.stat().st_size == 0: + image.crop((left, top, right, bottom)).save( + crop_image_path, quality=95 + ) + crops.append( + CropSpec( + crop_id=f"{page.key}__pe_{element_index:03d}", + page_key=page.key, + image_name=page.image_name, + page_image_path=str(page.image_path), + crop_image_name=crop_image_name, + crop_image_path=str(crop_image_path), + element_index=element_index, + detector_label=str(det.get("label") or "text"), + detector_score=float(det.get("score") or 0.0), + detector_bbox_norm=bbox_norm, + crop_bbox_pixels=crop_px, + page_size=(page.width, page.height), + ) + ) + write_jsonl(crops_manifest_path, [crop.__dict__ for crop in crops]) + print(f"Prepared {len(crops)} crops under {crops_dir}", flush=True) + return crops + + +def image_data_url(path: Path) -> str: + mime = mimetypes.guess_type(path.name)[0] or "image/jpeg" + data = base64.b64encode(path.read_bytes()).decode("ascii") + return f"data:{mime};base64,{data}" + + +def parse_model_detection_predictions( + args: argparse.Namespace, + pages: list[PageImage], + prediction_rows: list[dict[str, Any]], +) -> list[dict[str, Any]]: + page_by_key = {page.key: page for page in pages} + rows = [] + for prediction in prediction_rows: + page = page_by_key.get(str(prediction.get("key"))) + if page is None: + continue + detections = [] + for match in BLOCK_RE.finditer(str(prediction.get("raw_out") or "")): + x1, y1, _body, x2, y2, cls = match.groups() + bbox_norm = model_bbox_to_image_norm( + (float(x1), float(y1), float(x2), float(y2)), + page.width, + page.height, + coordinate_frame=args.model_coordinate_frame, + canvas_width=args.canvas_width, + canvas_height=args.canvas_height, + pad_position=args.pad_position, + ) + if bbox_norm[2] <= bbox_norm[0] or bbox_norm[3] <= bbox_norm[1]: + continue + detections.append( + { + "label": normalize_detector_label(cls), + "score": 1.0, + "bbox_norm": list(bbox_norm), + "model_class": cls, + "model_order": len(detections), + } + ) + rows.append( + { + "key": page.key, + "image_name": page.image_name, + "image_path": str(page.image_path), + "page_size": [page.width, page.height], + "detector_backend": "model-detection", + "model_coordinate_frame": args.model_coordinate_frame, + "detections": detections, + "detection_error": prediction.get("error"), + } + ) + return filter_detection_rows(args, rows) + + +def model_canvas_norm_to_image_norm( + bbox: tuple[float, float, float, float], + width: int, + height: int, + *, + canvas_width: float, + canvas_height: float, + pad_position: str, +) -> tuple[float, float, float, float]: + x1, y1, x2, y2 = bbox + max_coord = max(abs(x1), abs(y1), abs(x2), abs(y2)) + if max_coord > 1.5 and max_coord <= 1000.0: + norm = (x1 / 1000.0, y1 / 1000.0, x2 / 1000.0, y2 / 1000.0) + elif max_coord > 1000.0: + norm = ( + x1 / max(1, width), + y1 / max(1, height), + x2 / max(1, width), + y2 / max(1, height), + ) + else: + norm = (x1, y1, x2, y2) + scale = min(1.0, canvas_width / max(1, width), canvas_height / max(1, height)) + resized_width = width * scale + resized_height = height * scale + if pad_position == "top-left": + pad_x = 0.0 + pad_y = 0.0 + elif pad_position == "bottom-right": + pad_x = canvas_width - resized_width + pad_y = canvas_height - resized_height + else: + pad_x = (canvas_width - resized_width) / 2.0 + pad_y = (canvas_height - resized_height) / 2.0 + out = ( + (norm[0] * canvas_width - pad_x) / max(1.0, resized_width), + (norm[1] * canvas_height - pad_y) / max(1.0, resized_height), + (norm[2] * canvas_width - pad_x) / max(1.0, resized_width), + (norm[3] * canvas_height - pad_y) / max(1.0, resized_height), + ) + left, right = sorted((clamp(out[0]), clamp(out[2]))) + top, bottom = sorted((clamp(out[1]), clamp(out[3]))) + return left, top, right, bottom + + +def model_bbox_to_image_norm( + bbox: tuple[float, float, float, float], + width: int, + height: int, + *, + coordinate_frame: str, + canvas_width: float, + canvas_height: float, + pad_position: str, +) -> tuple[float, float, float, float]: + if coordinate_frame in { + "content_normalized", + "original_normalized", + "navit_content", + }: + x1, y1, x2, y2 = bbox + max_coord = max(abs(x1), abs(y1), abs(x2), abs(y2)) + if max_coord > 1.5 and max_coord <= 1000.0: + x1, y1, x2, y2 = (value / 1000.0 for value in (x1, y1, x2, y2)) + elif max_coord > 1000.0: + x1, x2 = x1 / max(1, width), x2 / max(1, width) + y1, y2 = y1 / max(1, height), y2 / max(1, height) + left, right = sorted((clamp(x1), clamp(x2))) + top, bottom = sorted((clamp(y1), clamp(y2))) + return left, top, right, bottom + return model_canvas_norm_to_image_norm( + bbox, + width, + height, + canvas_width=canvas_width, + canvas_height=canvas_height, + pad_position=pad_position, + ) diff --git a/nemotron_parse/engine/header_inference_probe.py b/nemotron_parse/engine/header_inference_probe.py new file mode 100644 index 0000000000000000000000000000000000000000..00d7f0c1cd7e61d10f3b2dc4cf0dbe8b58919d47 --- /dev/null +++ b/nemotron_parse/engine/header_inference_probe.py @@ -0,0 +1,84 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Infer leading header rows from predicted table spans. +No benchmark labels, source-image metadata, or dataset IDs are accepted as input. +""" +import re +from bs4 import BeautifulSoup + + +def infer_header_rows(raw): + soup = BeautifulSoup(raw, "html.parser") + diagnostics = [] + for table in soup.find_all("table"): + if table.find_parent("table"): + continue + rows = [r for r in table.find_all("tr") if r.find_parent("table") == table] + if not rows: + continue + # Respect existing explicit cell roles; this probe is only for td-only output. + if table.find("th"): + diagnostics.append({"changed": False, "reason": "existing_th"}) + continue + start = 0 + while start < min(3, len(rows) - 1): + cells = rows[start].find_all(["td", "th"], recursive=False) + if ( + len(cells) == 1 + and int(cells[0].get("colspan", 1)) > 1 + and int(cells[0].get("rowspan", 1)) == 1 + ): + start += 1 + else: + break + cells = rows[start].find_all(["td", "th"], recursive=False) + if not cells: + continue + numeric = lambda s: bool(re.fullmatch(r"[\s\d.,%$€£()+−-]+", s)) + texts = [ + c.get_text(" ", strip=True) for c in cells if c.get_text(" ", strip=True) + ] + if not texts or sum(numeric(t) for t in texts) / len(texts) > 0.5: + diagnostics.append({"changed": False, "reason": "numeric_first_row"}) + continue + end = start + 1 + rs = max(int(c.get("rowspan", 1)) for c in cells) + cs = max(int(c.get("colspan", 1)) for c in cells) + if 1 < rs <= 4: + end = min(len(rows), start + rs) + elif rs > 4: + diagnostics.append({"changed": False, "reason": "long_rowspan"}) + continue + elif cs > 1 and start + 1 < len(rows): + nxt = [ + c + for c in rows[start + 1].find_all(["td", "th"], recursive=False) + if c.get_text(" ", strip=True) + ] + # A group heading's colspan does not establish the next row's role. + # Require explicit header styling on every nonempty next-row cell; + # text-heavy data rows and year-valued data must not become headers. + if ( + len(nxt) >= 2 + and all(c.find(["b", "strong"]) for c in nxt) + and sum(numeric(c.get_text(" ", strip=True)) for c in nxt) / len(nxt) + < 0.5 + ): + end = start + 2 + # Only probe multi-level headers. Single-row tables remain byte-for-byte as supplied. + if end - start <= 1: + diagnostics.append({"changed": False, "reason": "single_level"}) + continue + for row in rows[start:end]: + for c in row.find_all(["td", "th"], recursive=False): + c.name = "th" + diagnostics.append( + { + "changed": True, + "start": start, + "end": end, + "rule": "bounded_span_header_topology", + } + ) + return str(soup), diagnostics diff --git a/nemotron_parse/engine/markdown.py b/nemotron_parse/engine/markdown.py new file mode 100644 index 0000000000000000000000000000000000000000..d171e66ced2a2a217b94d7c00260dd28d0ff7d56 --- /dev/null +++ b/nemotron_parse/engine/markdown.py @@ -0,0 +1,61 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +from __future__ import annotations + + +import re + + +_RE_EXTRACT_CLASS_BBOX = re.compile( + r"(.*?)]+)>", + re.DOTALL, +) + + +def extract_classes_bboxes( + text: str, +) -> tuple[list[str], list[tuple[float, float, float, float]], list[str]]: + classes: list[str] = [] + bboxes: list[tuple[float, float, float, float]] = [] + texts: list[str] = [] + for match in _RE_EXTRACT_CLASS_BBOX.finditer(text or ""): + x1, y1, body, x2, y2, cls = match.groups() + classes.append(cls) + bboxes.append((float(x1), float(y1), float(x2), float(y2))) + texts.append(body) + return classes, bboxes, texts + + +def convert_latex_tables_in_markdown(markdown_text: str) -> str: + if "\\begin{tabular}" not in markdown_text: + return markdown_text + try: + from .convert.latex2html import latex_table_to_html + + return latex_table_to_html(markdown_text) + except (ValueError, IndexError): + return markdown_text + + +def mmd_to_markdown(prediction: str, text_transform=None) -> str: + classes, _boxes, texts = extract_classes_bboxes(prediction or "") + if not texts: + cleaned = re.sub(r"]+>|]+>|]+>", "", prediction or "") + return convert_latex_tables_in_markdown(cleaned.replace("", "").strip()) + + blocks = [] + for cls, text in zip(classes, texts): + if text_transform is not None: + text = text_transform(cls, text) + text = text.replace("", "").strip() + if not text: + continue + if cls in {"Table", "Chart"}: + text = convert_latex_tables_in_markdown(text) + elif cls == "Title" and not text.startswith("#"): + text = f"# {text}" + elif cls == "Section-header" and not text.startswith("#"): + text = f"## {text}" + blocks.append(text) + return "\n\n".join(blocks).strip() diff --git a/nemotron_parse/engine/merge.py b/nemotron_parse/engine/merge.py new file mode 100644 index 0000000000000000000000000000000000000000..b2a35606fca0c83058771d7dfa84314afc654872 --- /dev/null +++ b/nemotron_parse/engine/merge.py @@ -0,0 +1,630 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +from __future__ import annotations + +import argparse + + +import json + + +import re + + +from dataclasses import dataclass + + +from pathlib import Path + + +from typing import Any + + +BLOCK_RE = re.compile( + r"(.*?)" + r"]+)>", + re.DOTALL, +) + + +TOKEN_RE = re.compile(r"||||<\|[^>]+\|>") + + +@dataclass(frozen=True) +class Block: + x1: float + y1: float + body: str + x2: float + y2: float + cls: str + raw: str + detector_label: str = "" + origin: str = "" + detector_score: float = 0.0 + + @property + def bbox(self) -> tuple[float, float, float, float]: + left, right = sorted((self.x1, self.x2)) + top, bottom = sorted((self.y1, self.y2)) + return left, top, right, bottom + + +def load_jsonl(path: Path) -> list[dict[str, Any]]: + rows = [] + with path.open(encoding="utf-8", errors="replace") as f: + for line_no, line in enumerate(f, 1): + if not line.strip(): + continue + try: + rows.append(json.loads(line)) + except json.JSONDecodeError as exc: + raise ValueError(f"{path}:{line_no}: {exc}") from exc + return rows + + +def row_aliases(row: dict[str, Any]) -> set[str]: + aliases = set() + for key in ("key", "image_name"): + value = row.get(key) + if value: + text = str(value) + aliases.add(text) + aliases.add(Path(text).stem) + aliases.add(Path(text).name) + path = row.get("image_path") + if path: + aliases.add(Path(str(path)).name) + aliases.add(Path(str(path)).stem) + aliases = {alias for alias in aliases if alias} + return aliases + + +def index_rows(rows: list[dict[str, Any]]) -> dict[str, dict[str, Any]]: + out = {} + for row in rows: + for alias in row_aliases(row): + out.setdefault(alias, row) + return out + + +def prediction_text(row: dict[str, Any] | None) -> str: + if not row: + return "" + for key in ("raw_out", "output_text", "prediction", "pred", "text"): + value = row.get(key) + if isinstance(value, str): + return value + return "" + + +def parse_blocks(raw: str) -> list[Block]: + blocks = [] + for match in BLOCK_RE.finditer(raw or ""): + x1, y1, body, x2, y2, cls = match.groups() + blocks.append( + Block(float(x1), float(y1), body, float(x2), float(y2), cls, match.group(0)) + ) + return blocks + + +def block_with_raw( + bbox: tuple[float, float, float, float], + cls: str, + body: str, + *, + detector_label: str = "", + origin: str = "", + detector_score: float = 0.0, +) -> Block: + x1, y1, x2, y2 = bbox + raw = make_block(bbox, cls, body) + return Block(x1, y1, body, x2, y2, cls, raw, detector_label, origin, detector_score) + + +def rebuild_blocks(blocks: list[Block]) -> str: + return "\n\n".join(block.raw for block in blocks).strip() + + +def iou( + a: tuple[float, float, float, float], b: tuple[float, float, float, float] +) -> float: + ax1, ay1, ax2, ay2 = a + bx1, by1, bx2, by2 = b + ix1, iy1 = max(ax1, bx1), max(ay1, by1) + ix2, iy2 = min(ax2, bx2), min(ay2, by2) + iw, ih = max(0.0, ix2 - ix1), max(0.0, iy2 - iy1) + inter = iw * ih + if inter <= 0: + return 0.0 + area_a = max(0.0, ax2 - ax1) * max(0.0, ay2 - ay1) + area_b = max(0.0, bx2 - bx1) * max(0.0, by2 - by1) + denom = area_a + area_b - inter + return inter / denom if denom > 0 else 0.0 + + +def block_area(block: Block) -> float: + left, top, right, bottom = block.bbox + return max(0.0, right - left) * max(0.0, bottom - top) + + +def normalized_text(text: str) -> str: + return " ".join(re.sub(r"<[^>]+>", " ", text or "").lower().split()) + + +def text_similarity(a: str, b: str) -> float: + a_tokens = set(normalized_text(a).split()) + b_tokens = set(normalized_text(b).split()) + if not a_tokens and not b_tokens: + return 1.0 + if not a_tokens or not b_tokens: + return 0.0 + return len(a_tokens & b_tokens) / len(a_tokens | b_tokens) + + +def clamp(value: float) -> float: + return min(1.0, max(0.0, float(value))) + + +def fmt_coord(value: float) -> str: + return f"{clamp(value):.6f}".rstrip("0").rstrip(".") or "0" + + +def make_block(bbox: tuple[float, float, float, float], cls: str, text: str) -> str: + x1, y1, x2, y2 = bbox + return f"{text}" + + +def strip_model_tokens(text: str) -> str: + return TOKEN_RE.sub("", text or "").replace("", "").strip() + + +def crop_markdown(raw_text: str) -> str: + blocks = [] + for match in BLOCK_RE.finditer(raw_text or ""): + body = strip_model_tokens(match.group(3)) + if body: + blocks.append(body) + if blocks: + return "\n\n".join(blocks).strip() + cleaned = re.sub(r"]+>|]+>|]+>", "", raw_text or "") + return strip_model_tokens(cleaned) + + +def normalize_detector_label(label: Any) -> str: + text = str(label).strip().lower() + text = ( + text.replace("&", "and").replace("/", "_").replace("-", "_").replace(" ", "_") + ) + text = re.sub(r"_+", "_", text).strip("_") + return text + + +def parse_label_filter(value: str) -> set[str]: + return {normalize_detector_label(item) for item in value.split(",") if item.strip()} + + +def class_for_detector(label: str, bbox_norm: tuple[float, float, float, float]) -> str: + label = normalize_detector_label(label) + if label == "table": + return "Table" + if label == "chart": + return "Chart" + if label == "infographic": + return "Picture" + if label == "title": + return "Title" + if label == "header_footer": + return ( + "Page-header" + if ((bbox_norm[1] + bbox_norm[3]) / 2.0) < 0.5 + else "Page-footer" + ) + return "Text" + + +def model_canvas_norm_to_image_norm( + bbox: tuple[float, float, float, float], + width: int, + height: int, + *, + canvas_width: float, + canvas_height: float, + pad_position: str, +) -> tuple[float, float, float, float]: + x1, y1, x2, y2 = bbox + max_coord = max(abs(x1), abs(y1), abs(x2), abs(y2)) + if max_coord > 1.5 and max_coord <= 1000.0: + norm = (x1 / 1000.0, y1 / 1000.0, x2 / 1000.0, y2 / 1000.0) + elif max_coord > 1000.0: + norm = ( + x1 / max(1, width), + y1 / max(1, height), + x2 / max(1, width), + y2 / max(1, height), + ) + else: + norm = (x1, y1, x2, y2) + scale = min(1.0, canvas_width / max(1, width), canvas_height / max(1, height)) + resized_width = width * scale + resized_height = height * scale + if pad_position == "top-left": + pad_x = 0.0 + pad_y = 0.0 + elif pad_position == "bottom-right": + pad_x = canvas_width - resized_width + pad_y = canvas_height - resized_height + else: + pad_x = (canvas_width - resized_width) / 2.0 + pad_y = (canvas_height - resized_height) / 2.0 + out = ( + (norm[0] * canvas_width - pad_x) / max(1.0, resized_width), + (norm[1] * canvas_height - pad_y) / max(1.0, resized_height), + (norm[2] * canvas_width - pad_x) / max(1.0, resized_width), + (norm[3] * canvas_height - pad_y) / max(1.0, resized_height), + ) + left, right = sorted((clamp(out[0]), clamp(out[2]))) + top, bottom = sorted((clamp(out[1]), clamp(out[3]))) + return left, top, right, bottom + + +def image_norm_to_model_canvas_norm( + bbox: tuple[float, float, float, float], + width: int, + height: int, + *, + canvas_width: float, + canvas_height: float, + pad_position: str, +) -> tuple[float, float, float, float]: + x1, y1, x2, y2 = bbox + scale = min(1.0, canvas_width / max(1, width), canvas_height / max(1, height)) + resized_width = width * scale + resized_height = height * scale + if pad_position == "top-left": + pad_x = 0.0 + pad_y = 0.0 + elif pad_position == "bottom-right": + pad_x = canvas_width - resized_width + pad_y = canvas_height - resized_height + else: + pad_x = (canvas_width - resized_width) / 2.0 + pad_y = (canvas_height - resized_height) / 2.0 + return ( + clamp((x1 * resized_width + pad_x) / canvas_width), + clamp((y1 * resized_height + pad_y) / canvas_height), + clamp((x2 * resized_width + pad_x) / canvas_width), + clamp((y2 * resized_height + pad_y) / canvas_height), + ) + + +def page_norm_to_output_frame( + bbox: tuple[float, float, float, float], + width: int, + height: int, + args: argparse.Namespace, +) -> tuple[float, float, float, float]: + """Encode a page-normalized box in the direct prediction coordinate frame.""" + frame = getattr(args, "output_coordinate_frame", None) + if frame in {"content_normalized", "original_normalized", "navit_content"}: + x1, y1, x2, y2 = bbox + left, right = sorted((clamp(x1), clamp(x2))) + top, bottom = sorted((clamp(y1), clamp(y2))) + return left, top, right, bottom + if frame not in {None, "padded_grid", "fixed_canvas", "navit_grid"}: + raise ValueError(f"Unsupported hybrid output coordinate frame: {frame!r}") + return image_norm_to_model_canvas_norm( + bbox, + width, + height, + canvas_width=args.canvas_width, + canvas_height=args.canvas_height, + pad_position=args.prediction_pad_position, + ) + + +def crop_box_to_page_canvas( + crop_row: dict[str, Any], + crop_local_model_bbox: tuple[float, float, float, float], + args: argparse.Namespace, +) -> tuple[float, float, float, float]: + left, top, right, bottom = [int(v) for v in crop_row["crop_bbox_pixels"]] + crop_width = max(1, right - left) + crop_height = max(1, bottom - top) + page_width, page_height = [int(v) for v in crop_row["page_size"]] + crop_frame = getattr(args, "crop_coordinate_frame", "padded_grid") + if crop_frame in {"content_normalized", "original_normalized", "navit_content"}: + x1, y1, x2, y2 = crop_local_model_bbox + max_coord = max(abs(x1), abs(y1), abs(x2), abs(y2)) + if max_coord > 1.5 and max_coord <= 1000.0: + x1, y1, x2, y2 = (value / 1000.0 for value in (x1, y1, x2, y2)) + left_norm, right_norm = sorted((clamp(x1), clamp(x2))) + top_norm, bottom_norm = sorted((clamp(y1), clamp(y2))) + crop_norm = (left_norm, top_norm, right_norm, bottom_norm) + else: + crop_norm = model_canvas_norm_to_image_norm( + crop_local_model_bbox, + crop_width, + crop_height, + canvas_width=args.canvas_width, + canvas_height=args.canvas_height, + pad_position=args.crop_pad_position, + ) + page_norm = ( + (left + crop_norm[0] * crop_width) / page_width, + (top + crop_norm[1] * crop_height) / page_height, + (left + crop_norm[2] * crop_width) / page_width, + (top + crop_norm[3] * crop_height) / page_height, + ) + return page_norm_to_output_frame( + page_norm, + page_width, + page_height, + args, + ) + + +def page_bbox_to_page_canvas( + crop_row: dict[str, Any], args: argparse.Namespace +) -> tuple[float, float, float, float]: + page_width, page_height = [int(v) for v in crop_row["page_size"]] + bbox = tuple(float(v) for v in crop_row["detector_bbox_norm"]) + return page_norm_to_output_frame( + bbox, + page_width, + page_height, + args, + ) + + +def rebuild_crop_row_blocks( + crop_row: dict[str, Any], args: argparse.Namespace +) -> list[Block]: + detector_label = normalize_detector_label(crop_row.get("detector_label") or "") + detector_score = float(crop_row.get("detector_score") or 0.0) + raw = str(crop_row.get("raw_out") or "") + blocks = [] + for match in BLOCK_RE.finditer(raw): + x1, y1, body, x2, y2, cls = match.groups() + text = strip_model_tokens(body) + if not text: + continue + bbox = crop_box_to_page_canvas( + crop_row, (float(x1), float(y1), float(x2), float(y2)), args + ) + blocks.append( + block_with_raw( + bbox, + cls, + text, + detector_label=detector_label, + origin="crop_element", + detector_score=detector_score, + ) + ) + if blocks: + return blocks + text = crop_markdown(raw) + if not text: + return [] + bbox = page_bbox_to_page_canvas(crop_row, args) + cls = class_for_detector( + detector_label, tuple(float(v) for v in crop_row["detector_bbox_norm"]) + ) + return [ + block_with_raw( + bbox, + cls, + text, + detector_label=detector_label, + origin="crop_element_fallback", + detector_score=detector_score, + ) + ] + + +def parse_class_set(value: str) -> set[str]: + return {item.strip() for item in value.split(",") if item.strip()} + + +def crop_element_blocks_by_page(args: argparse.Namespace) -> dict[str, list[Block]]: + if not args.crop_element_predictions: + return {} + structural_classes = parse_class_set(args.structural_classes) + include_detector_labels = parse_label_filter(args.include_detector_labels) + by_page: dict[str, list[Block]] = {} + for path in args.crop_element_predictions: + for row in load_jsonl(path): + if row.get("error"): + continue + detector_label = normalize_detector_label(row.get("detector_label") or "") + if ( + include_detector_labels + and detector_label not in include_detector_labels + ): + continue + raw_text = prediction_text(row) + if ( + args.max_crop_output_chars > 0 + and len(raw_text) > args.max_crop_output_chars + ): + continue + if ( + args.max_crop_output_blocks > 0 + and len(BLOCK_RE.findall(raw_text)) > args.max_crop_output_blocks + ): + continue + page_key = str(row.get("page_key") or "") + if not page_key: + continue + for block in rebuild_crop_row_blocks(row, args): + if block.cls not in structural_classes: + continue + if ( + args.min_structural_area > 0 + and block_area(block) < args.min_structural_area + ): + continue + by_page.setdefault(page_key, []).append(block) + for blocks in by_page.values(): + blocks.sort(key=reading_order_key) + return by_page + + +def find_row( + index: dict[str, dict[str, Any]], label: dict[str, Any] +) -> dict[str, Any] | None: + for alias in row_aliases(label): + if alias in index: + return index[alias] + key = str(label.get("key") or "") + image_name = str(label.get("image_name") or "") + return index.get(key) or index.get(Path(image_name).stem) or index.get(image_name) + + +def clone_prediction( + label: dict[str, Any], source_row: dict[str, Any] | None, *, source_name: str +) -> dict[str, Any]: + raw_out = prediction_text(source_row) + row = { + "key": label["key"], + "image_name": label.get("image_name") or f"{label['key']}.jpg", + "image_path": (source_row or {}).get("image_path") or label.get("image_path"), + "category": label.get("category"), + "raw_out": raw_out, + "hybrid_source": source_name, + "error": ( + (source_row or {}).get("error") if source_row else "missing_prediction" + ), + } + for key in ( + "coordinate_frame", + "image_preprocessing", + "model_padding", + "model_grid_size", + "resized_content_size", + ): + if (source_row or {}).get(key) is not None: + row[key] = source_row[key] + return row + + +def structural_blocks( + args: argparse.Namespace, row: dict[str, Any] | None +) -> list[Block]: + structural_classes = parse_class_set(args.structural_classes) + blocks = [ + block + for block in parse_blocks(prediction_text(row)) + if block.cls in structural_classes + ] + if args.min_structural_area > 0: + blocks = [ + block for block in blocks if block_area(block) >= args.min_structural_area + ] + return blocks + + +def candidate_structural_blocks( + args: argparse.Namespace, + label: dict[str, Any], + structural_row: dict[str, Any] | None, + element_blocks: dict[str, list[Block]], +) -> list[Block]: + if element_blocks: + return list(element_blocks.get(str(label.get("key") or ""), [])) + return structural_blocks(args, structural_row) + + +def detector_label_counts(blocks: list[Block]) -> dict[str, int]: + counts: dict[str, int] = {} + for block in blocks: + label = block.detector_label or "unknown" + counts[label] = counts.get(label, 0) + 1 + return counts + + +def is_duplicate( + candidate: Block, existing: list[Block], args: argparse.Namespace +) -> bool: + for block in existing: + if block.cls != candidate.cls: + continue + if iou(block.bbox, candidate.bbox) < args.dedupe_overlap_threshold: + continue + if text_similarity(block.body, candidate.body) >= args.dedupe_text_threshold: + return True + return False + + +def reading_order_key(block: Block) -> tuple[float, float, float, float]: + return block.y1, block.x1, block.y2, block.x2 + + +def insert_additions_preserving_direct_order( + direct_ordered: list[Block], additions: list[Block] +) -> list[Block]: + """Keep the direct model's block sequence stable, inserting new blocks by bbox.""" + if not additions: + return direct_ordered + additions_sorted = sorted(additions, key=reading_order_key) + merged = [] + add_idx = 0 + for block in direct_ordered: + block_key = reading_order_key(block) + while ( + add_idx < len(additions_sorted) + and reading_order_key(additions_sorted[add_idx]) < block_key + ): + merged.append(additions_sorted[add_idx]) + add_idx += 1 + merged.append(block) + merged.extend(additions_sorted[add_idx:]) + return merged + + +def build_direct_plus_ordered_structural_addonly( + args: argparse.Namespace, + labels: list[dict[str, Any]], + indexes: dict[str, dict[str, dict[str, Any]]], + element_blocks: dict[str, list[Block]], +) -> list[dict[str, Any]]: + structural_index = indexes.get(args.structural_source) + if structural_index is None and not element_blocks: + raise SystemExit( + f"Missing --{args.structural_source}-predictions for structural merge" + ) + rows = [] + for label in labels: + direct = find_row(indexes["direct"], label) + structural = ( + find_row(structural_index, label) if structural_index is not None else None + ) + direct_blocks = parse_blocks(prediction_text(direct)) + added = [] + skipped_duplicates = 0 + for block in candidate_structural_blocks( + args, label, structural, element_blocks + ): + if is_duplicate(block, direct_blocks + added, args): + skipped_duplicates += 1 + continue + added.append(block) + merged_blocks = insert_additions_preserving_direct_order(direct_blocks, added) + row = clone_prediction( + label, + direct, + source_name=f"direct-plus-{args.structural_source}-ordered-structural-addonly", + ) + row["raw_out"] = ( + rebuild_blocks(merged_blocks) + or prediction_text(direct) + or prediction_text(structural) + ) + row["hybrid_kept_direct_blocks"] = len(direct_blocks) + row["hybrid_added_structural_blocks"] = len(added) + row["hybrid_skipped_duplicate_blocks"] = skipped_duplicates + row["hybrid_added_detector_labels"] = detector_label_counts(added) + rows.append(row) + return rows diff --git a/nemotron_parse/engine/policies.py b/nemotron_parse/engine/policies.py new file mode 100644 index 0000000000000000000000000000000000000000..315f115276460ceaeba3b4bb36e2ae21a72b4869 --- /dev/null +++ b/nemotron_parse/engine/policies.py @@ -0,0 +1,338 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Fixed single-checkpoint output conversion; no ensemble routing or benchmark inputs.""" + +import re + +from functools import lru_cache + +BLOCK = re.compile( + r"(]+>]+>)(.*?)(]+>]+>]+)>)", re.S +) + +MDTABLE = re.compile( + r"(?m)^\|[^\n]*\|[ \t]*\n\|[ \t:|\-]+\|[ \t]*\n(?:\|[^\n]*\|[ \t]*(?:\n|$))+" +) + + +def promote_bold_header_row(markdown): + """Promote a mostly bold first row to header cells, preserving its styling. + + Existing header cells take precedence. This rule uses predicted markup and + table shape; it contains no language vocabulary and never adds bold text. + """ + from bs4 import BeautifulSoup + + def transform(match): + original = match[0] + soup = BeautifulSoup(original, "html.parser") + table = soup.find("table") + if table.find("th"): + return original + rows = [ + row for row in table.find_all("tr") if row.find_parent("table") == table + ] + if len(rows) < 2: + return original + cells = rows[0].find_all(["td", "th"], recursive=False) + next_cells = rows[1].find_all(["td", "th"], recursive=False) + texts = [cell.get_text(" ", strip=True) for cell in cells] + numeric = lambda text: bool(re.fullmatch(r"[\s\d.,%$€£()+−-]+", text)) + eligible = ( + 2 <= len(cells) <= 20 + and len(next_cells) >= 2 + and all(len(text) <= 100 for text in texts) + and sum(bool(text) and not numeric(text) for text in texts) + >= len(cells) * 0.6 + ) + mostly_bold = ( + sum(bool(cell.find(["b", "strong"])) for cell in cells) >= len(cells) * 0.6 + ) + if not eligible or not mostly_bold: + return original + before = [ + (cell.get_text(), cell.get("rowspan"), cell.get("colspan")) + for cell in table.find_all(["td", "th"]) + ] + for cell in cells: + cell.name = "th" + after = [ + (cell.get_text(), cell.get("rowspan"), cell.get("colspan")) + for cell in table.find_all(["td", "th"]) + ] + assert before == after, "Header conversion changed cell content or spans" + return str(table) + + return re.sub(r"]*>.*?", transform, markdown, flags=re.S | re.I) + + +def chart_render(raw, panels=False, compound=False): + """Render explicit panels and existing numeric value/percent pairs.""" + from html import escape + + number = r"[+−-]?\d[\d,. ]*(?:[kKmMbB])?" + pair = re.compile(r"^\s*(" + number + r")\s*\(\s*(" + number + r"\s*%)\s*\)\s*$") + + def chart(m): + body = m[2] + title = re.search(r"(?m)^title:[ \t]*([^\n]*)$", body) + title = title[1].strip() if title else "" + panel_names = { + p[1].strip(): p[2].strip() + for p in re.finditer( + r"(?m)^panel:\s*([^;\n]+)\s*;[^;\n]+;\s*([^\n]+)", body + ) + } + matches = list(MDTABLE.finditer(body)) + changes = {} + for table in matches: + if r"\|" in table[0] or "`" in table[0]: + continue + rows = [ + [c.strip() for c in line.strip().strip("|").split("|")] + for line in table[0].strip().splitlines() + ] + if ( + len(rows) < 3 + or any(len(row) != len(rows[0]) for row in rows) + or any(not re.fullmatch(r":?-+:?", c.replace(" ", "")) for c in rows[1]) + ): + continue + marker = re.search(r"table\[([^\]\n]+)\]:\s*$", body[: table.start()]) + panel = panel_names.get(marker[1].strip(), "") if marker else "" + split = {} + if compound: + for c in range(1, len(rows[0])): + nonempty = [row[c] for row in rows[2:] if row[c]] + if len(nonempty) >= 2 and all(pair.fullmatch(v) for v in nonempty): + split[c] = True + if not split and not (panels and panel): + continue + caption = " — ".join(v for v in [title, panel if panels else ""] if v) + out = [""] + if caption: + out.append("") + out.append("") + for c, label in enumerate(rows[0]): + span = ( + ' colspan="2"' if c in split else (' rowspan="2"' if split else "") + ) + out.append('") + out.append("") + if split: + out.append( + "" + + "".join( + '' + for c in split + ) + + "" + ) + out.append("") + for row in rows[2:]: + out.append("") + for c, text in enumerate(row): + values = ( + (pair.fullmatch(text).groups() if text else ("", "")) + if c in split + else (text,) + ) + out.extend("" for v in values) + out.append("") + out.append("
" + escape(caption) + "
" + escape(label) + "
ValuePercent
" + escape(v.strip()) + "
\n") + changes[table.start()] = "".join(out) + if not changes: + return m[0] + new = MDTABLE.sub(lambda t: changes.get(t.start(), t[0]), body) + if len(changes) == len(matches) and title: + new = re.sub(r"(?m)^title:[ \t]*[^\n]*\n?", "", new, count=1) + return m[1] + new + m[3] + + return re.sub(r"(]*>)(.*?)()", chart, raw, flags=re.S) + + +def native_grid(body, repair=False): + from .convert.rich_table_reader import split_top, argument + + pattern = re.compile( + r"\\begin\{tabular\}\{([clrx]+)\}\n(.*?)\n\\end\{tabular\}", re.S + ) + matches = list(pattern.finditer(body)) + if len(matches) != 1: + return body, None + m = matches[0] + new = m[0] + changed = False + + def cell(part): + text = part.strip() + rs = cs = 1 + while text.startswith((r"\multicolumn", r"\multirow")): + command = "multicolumn" if text.startswith(r"\multicolumn") else "multirow" + pos = len(command) + 1 + count, pos = argument(text, pos) + _, pos = argument(text, pos) + inner, pos = argument(text, pos) + if text[pos:].strip(): + raise ValueError("trailing_span_content") + if command == "multicolumn": + cs = int(count) + else: + rs = int(count) + text = inner + header = False + if text.startswith(r"\thead{"): + inner, end = argument(text, len(r"\thead")) + header = True + if text[end:].strip(): + raise ValueError("trailing_header_content") + text = inner + return rs, cs, text, header + + try: + rows = split_top(m[2], r"\\") + if rows[-1].strip(): + return body, {"valid": False, "reason": "unterminated_row"} + rows.pop() + parsed = [[cell(c) for c in split_top(row, "&")] for row in rows] + widths = [sum(c[1] for c in row) for row in parsed] + columns = len(m[1]) + if ( + repair + and widths + and len(set(widths)) == 1 + and 1 <= widths[0] <= 512 + and widths[0] != columns + ): + columns = widths[0] + cols = (m[1] + "c" * columns)[:columns] + new = r"\begin{tabular}{" + cols + "}\n" + m[2] + "\n" + r"\end{tabular}" + changed = True + occupied = set() + headers = 0 + if not rows or len(rows) > 4096 or columns > 512: + raise ValueError("grid_size") + for ri, row in enumerate(parsed): + ci = 0 + for rs, cs, content, header in row: + if rs < 1 or cs < 1 or ri + rs > len(rows) or ci + cs > columns: + raise ValueError("invalid_span") + if (ri, ci) in occupied: + empty = re.sub(r"\s+", "", content) in ("", r"\mbox{}") + if ( + not empty + or header + or rs != 1 + or any((ri, cc) not in occupied for cc in range(ci, ci + cs)) + ): + raise ValueError("invalid_placeholder") + else: + if any( + (rr, cc) in occupied + for rr in range(ri, ri + rs) + for cc in range(ci, ci + cs) + ): + raise ValueError("overlap") + headers += int(header) + for rr in range(ri, ri + rs): + for cc in range(ci, ci + cs): + occupied.add((rr, cc)) + ci += cs + if ci != columns: + raise ValueError("row_width") + header_shape = [] + for row in parsed: + if not any(c[3] for c in row): + break + header_shape.append(tuple((c[0], c[1], c[3]) for c in row)) + status = { + "valid": True, + "columns": columns, + "rows": len(rows), + "header_cells": headers, + "header_shape": tuple(header_shape), + "changed_column_declaration": changed, + } + except (ValueError, TypeError, IndexError, KeyError): + return body, {"valid": False, "reason": "inconsistent_native_grid"} + return body[: m.start()] + new + body[m.end() :], status + + +native_grid = lru_cache(maxsize=32768)(native_grid) + + +def replace_guarded( + raw, + candidates, + merger, + similarity=0.65, + guard="valid", + repair=False, + min_rows_ratio=0.0, + iou_threshold=0.5, + protect_headers=False, + emit_repair=True, +): + blocks = merger.parse_blocks(raw) + pairs = [] + for i, b in enumerate(blocks): + if b.cls != "Table": + continue + _, oldstatus = native_grid(b.body, repair) + for j, c in enumerate(candidates): + if c.cls != "Table" or not c.body.strip(): + continue + overlap = merger.iou(b.bbox, c.bbox) + if overlap < iou_threshold: + continue + body, status = native_grid(c.body, repair) + if status and not status["valid"]: + continue + if c.body.count(r"\begin{tabular}") != c.body.count(r"\end{tabular}"): + continue + if ( + guard == "columns" + and status + and oldstatus + and oldstatus["valid"] + and status["columns"] != oldstatus["columns"] + ): + continue + if ( + min_rows_ratio + and status + and oldstatus + and oldstatus["valid"] + and status["rows"] < oldstatus["rows"] * min_rows_ratio + ): + continue + if ( + protect_headers + and status + and oldstatus + and oldstatus["valid"] + and oldstatus["header_shape"] + and status["header_shape"] != oldstatus["header_shape"] + ): + continue + if not emit_repair: + body = c.body + sim = merger.text_similarity(b.body, body) + if sim < similarity: + continue + pairs.append((overlap, sim, i, j, body)) + chosen = {} + used = set() + for overlap, sim, i, j, body in sorted(pairs, reverse=True): + if i in chosen or j in used: + continue + chosen[i] = body + used.add(j) + index = iter(range(len(blocks))) + + def f(m): + i = next(index) + return m[1] + chosen[i] + m[3] if i in chosen else m[0] + + return BLOCK.sub(f, raw) diff --git a/nemotron_parse/engine/regions.py b/nemotron_parse/engine/regions.py new file mode 100644 index 0000000000000000000000000000000000000000..8f6b80d91578ce98afb832c500102de1250b6615 --- /dev/null +++ b/nemotron_parse/engine/regions.py @@ -0,0 +1,33 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""Optional detector/parser region union using guarded overlap filtering.""" +from .merge import iou + + +def select_union_regions(primary, secondary, max_regions=80): + other = {r["key"]: r["detections"] for r in secondary} + result = [] + for row in primary: + original = row["detections"] + boxes = list(original) + for box in other.get(row["key"], []): + if any( + box["label"] == b["label"] + and iou(tuple(box["bbox_norm"]), tuple(b["bbox_norm"])) >= 0.85 + for b in boxes + ): + continue + boxes.append(dict(box, model_order=len(boxes))) + boxes = boxes[:max_regions] + boxes = [ + b + for i, b in enumerate(boxes) + if i < len(original) + or not any( + b["label"] == o["label"] + and iou(tuple(b["bbox_norm"]), tuple(o["bbox_norm"])) >= 0.5 + for o in original + ) + ] + result.append(dict(row, detections=boxes)) + return result diff --git a/nemotron_parse/engine/text_cleanup.py b/nemotron_parse/engine/text_cleanup.py new file mode 100644 index 0000000000000000000000000000000000000000..f12431b5d1dfd7d7f249c14feed45a8daa174b19 --- /dev/null +++ b/nemotron_parse/engine/text_cleanup.py @@ -0,0 +1,50 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""Literal parser cleanup and text-only typography; no benchmark routing.""" +import re + +ROLES = { + "Text", + "List-item", + "Caption", + "Section-header", + "Page-header", + "Page-footer", + "Footnote", + "Title", +} +SOFT = re.compile(r"(?<=[^\W\d_])\u00ad(?=[^\W\d_])") +BULLET = re.compile(r"^[ \t]*[•◦▪●‣⁃–—][ \t]+") +BLOCK = re.compile( + r"(.*?)]+)>", re.S +) +NUMBER = r"\d+(?:\.\d+)?" +START = rf"" +PREFIX = re.compile(rf"(?m)^[ \t]*{START}\s*(?={START})") + + +def normalize_text(cls, text): + if cls in ROLES and not any(s in text for s in ["`", "$", r"\(", r"\["]): + text = SOFT.sub("", text) + if cls == "List-item": + text = BULLET.sub("- ", text, count=1) + return text + + +def repair_empty_prefix(raw): + if "```" in raw or re.search(r"", raw): + return raw + return PREFIX.sub("", raw) + + +def dedupe_exact_elements(raw): + seen = set() + + def one(m): + identity = (m[6], tuple(map(float, [m[1], m[2], m[4], m[5]])), m[3]) + if identity in seen: + return "" + seen.add(identity) + return m[0] + + return BLOCK.sub(one, raw) diff --git a/nemotron_parse/inference.py b/nemotron_parse/inference.py new file mode 100644 index 0000000000000000000000000000000000000000..cf6c945d234efb320fc7d0d97a20cbeb3b7f0483 --- /dev/null +++ b/nemotron_parse/inference.py @@ -0,0 +1,625 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""Image-based single/double/triple parsing with a vLLM endpoint or custom backend.""" +from concurrent.futures import ThreadPoolExecutor +from dataclasses import asdict, dataclass +from io import BytesIO +from pathlib import Path +from types import SimpleNamespace +import base64 +import math +import os +import re + +from PIL import Image + +from .engine import geometry, merge, policies +from .engine.regions import select_union_regions +from .postprocessing import PostprocessOptions, clean_raw_output, postprocess_document + +PROMPT = "" +DETECT_PROMPT = ( + "" +) + + +@dataclass(frozen=True) +class GenerationSettings: + temperature: float = 0.2 + repetition_penalty: float = 1.05 + max_tokens: int = 8744 + top_k: int = 50 + top_p: float = 1.0 + seed: int = 0 + + def __post_init__(self): + if ( + self.max_tokens <= 0 + or not math.isfinite(self.temperature) + or self.temperature < 0 + ): + raise ValueError("Invalid generation temperature or token limit") + if not math.isfinite(self.repetition_penalty) or self.repetition_penalty <= 0: + raise ValueError("repetition_penalty must be positive and finite") + if not 0 < self.top_p <= 1 or self.top_k == 0 or self.top_k < -1: + raise ValueError("Invalid top_p or top_k") + + +class GenerationError(RuntimeError): + """A failed or incomplete generation; raw output remains available on response.""" + + def __init__(self, stage, response): + self.stage = stage + self.response = response + super().__init__( + f'{stage} generation failed or is incomplete (finish_reason={response.get("finish_reason")!r})' + ) + + +class TransformersBackend: + """Adapt an already loaded Transformers model/processor to DocumentParser. + + Calls are serialized because a model instance and its RNG are shared. This + adapter changes no model weights and does not require the serving plugin. + """ + + def __init__(self, model, processor, generation_config=None): + from threading import Lock + + self.model = model + self.processor = processor + self.generation_config = generation_config or model.generation_config + self._lock = Lock() + + def __call__(self, image, *, prompt, stage, settings): + import torch + from copy import deepcopy + + with self._lock: + inputs = self.processor( + images=[image], + text=prompt, + return_tensors="pt", + add_special_tokens=False, + ).to(self.model.device) + config = deepcopy(self.generation_config) + config.max_new_tokens = settings.max_tokens + config.do_sample = settings.temperature > 0 + config.repetition_penalty = settings.repetition_penalty + config.top_k = settings.top_k if settings.top_k > 0 else 0 + config.top_p = settings.top_p + config.temperature = ( + settings.temperature if settings.temperature > 0 else 1.0 + ) + device = torch.device(self.model.device) + devices = ( + [ + ( + device.index + if device.index is not None + else torch.cuda.current_device() + ) + ] + if device.type == "cuda" + else [] + ) + with torch.inference_mode(), torch.random.fork_rng(devices=devices): + torch.random.default_generator.manual_seed(settings.seed) + if devices: + with torch.cuda.device(devices[0]): + torch.cuda.manual_seed(settings.seed) + outputs = self.model.generate( + **inputs, generation_config=config, return_dict_in_generate=True + ) + sequence = outputs.sequences[0] + prefix = inputs.get("decoder_input_ids") + if prefix is None: + prefix = inputs.get("input_ids") + prefix_length = 1 + if ( + prefix is not None + and len(sequence) >= prefix.shape[-1] + and torch.equal(sequence[: prefix.shape[-1]], prefix[0]) + ): + prefix_length = prefix.shape[-1] + count = len(sequence) - prefix_length + return { + "raw_out": self.processor.batch_decode( + outputs.sequences, skip_special_tokens=False + )[0], + "finish_reason": "length" if count >= settings.max_tokens else "stop", + "usage": {"completion_tokens": count}, + } + + +def _merge_args(): + return SimpleNamespace( + structural_classes="Table,Chart", + include_detector_labels="chart,table", + min_structural_area=0.0, + crop_coordinate_frame="content_normalized", + crop_pad_position="top-left", + prediction_pad_position="top-left", + output_coordinate_frame="content_normalized", + canvas_width=1664.0, + canvas_height=2048.0, + structural_source="crop", + dedupe_overlap_threshold=0.85, + dedupe_text_threshold=0.8, + replacement_text_threshold=0.8, + ) + + +def merge_crops(raw, crop_rows, *, policy="alternatives"): + """Map crop-local geometry and merge with alternatives or guarded replacement.""" + if policy not in {"alternatives", "guarded"}: + raise ValueError("merge policy must be alternatives or guarded") + args = _merge_args() + candidates = [] + for row in crop_rows: + if row.get("error") or row.get("finish_reason") in ("length", "content_filter"): + raise GenerationError("crop", row) + for block in merge.rebuild_crop_row_blocks(row, args): + if block.cls in {"Table", "Chart"}: + candidates.append(block) + candidates.sort(key=merge.reading_order_key) + if not candidates: + return raw + if policy == "alternatives": + # Preserve differing structural hypotheses before guarded table refinement. + # This operates only on predicted content and geometry, without a scorer. + originals = merge.parse_blocks(raw) + if not originals: + return raw + additions = [] + for candidate in candidates: + if not merge.is_duplicate(candidate, originals + additions, args): + additions.append(candidate) + joined = merge.rebuild_blocks( + merge.insert_additions_preserving_direct_order(originals, additions) + ) + return policies.replace_guarded( + joined, candidates, merge, guard="columns", repair=True, emit_repair=False + ) + # Refine existing objects first. Rejected replacements must not reappear + # as an additional overlapping object when their text differs. + refined = policies.replace_guarded( + raw, candidates, merge, guard="columns", repair=True, emit_repair=False + ) + originals = merge.parse_blocks(refined) + used = set() + for index, original in enumerate(originals): + if original.cls != "Chart": + continue + eligible = [] + for candidate_index, candidate in enumerate(candidates): + if candidate_index in used or candidate.cls != "Chart": + continue + overlap = merge.iou(original.bbox, candidate.bbox) + body = candidate.body + valid = len(re.findall(r"]*>", body)) == body.count( + "" + ) == 1 and (policies.MDTABLE.search(body) or "= 0.5 + and valid + and merge.text_similarity(original.body, body) >= 0.65 + ): + eligible.append((overlap, candidate_index, candidate)) + if eligible: + _, candidate_index, candidate = max(eligible, key=lambda item: item[:2]) + originals[index] = merge.block_with_raw( + original.bbox, original.cls, candidate.body + ) + used.add(candidate_index) + additions = [] + for candidate in candidates: + if any( + candidate.cls == existing.cls + and merge.iou(candidate.bbox, existing.bbox) >= 0.5 + for existing in originals + additions + ): + continue + additions.append(candidate) + # Keep the original raw output intact if no serialized blocks were found. + if not originals: + return raw + return merge.rebuild_blocks( + merge.insert_additions_preserving_direct_order(originals, additions) + ) + + +class DocumentParser: + """Parse images with an OpenAI-compatible vLLM server or an injected callable. + + backend(image, *, prompt, stage, settings) may return a raw string or a dict + containing raw_out, finish_reason, usage, and error. A dict permits truncation + checks; custom string backends are responsible for detecting truncation. + The caller owns a supplied httpx client. Custom backends used by parse_many + must support concurrent calls, or callers should set concurrency=1. + """ + + def __init__( + self, + base_url="http://localhost:8000/v1", + model="nemotron-parse", + *, + api_key=None, + timeout=1800.0, + client=None, + backend=None, + options=None, + fullpage=None, + detection=None, + crop=None, + max_regions=80, + crop_margin_ratio=0.04, + crop_margin_px=12, + merge_policy="alternatives", + ): + if not isinstance(max_regions, int) or max_regions <= 0: + raise ValueError("max_regions must be a positive integer") + if not all( + math.isfinite(v) and v >= 0 for v in (crop_margin_ratio, crop_margin_px) + ): + raise ValueError("Crop margins must be nonnegative and finite") + self.base_url = base_url.rstrip("/") + self.model = model + self.api_key = api_key or os.environ.get("OPENAI_API_KEY", "EMPTY") + self.backend = backend + self.options = options or PostprocessOptions() + self.settings = { + "fullpage": fullpage or GenerationSettings(), + "detection": detection or GenerationSettings(max_tokens=4096), + "crop": crop or GenerationSettings(temperature=0.1, repetition_penalty=1.0), + } + self.max_regions = max_regions + self.crop_margin_ratio = crop_margin_ratio + if merge_policy not in {"alternatives", "guarded"}: + raise ValueError("merge_policy must be alternatives or guarded") + self.merge_policy = merge_policy + self.crop_margin_px = crop_margin_px + self._owned_client = client is None and backend is None + if self._owned_client: + import httpx + + client = httpx.Client( + timeout=timeout, + limits=httpx.Limits(max_connections=512, max_keepalive_connections=256), + ) + self.client = client + + def close(self): + if self._owned_client: + self.client.close() + + def __enter__(self): + return self + + def __exit__(self, *exc): + self.close() + + def _generate(self, image, stage, *, data_url=None): + settings = self.settings[stage] + prompt = DETECT_PROMPT if stage == "detection" else PROMPT + if self.backend is not None: + result = self.backend(image, prompt=prompt, stage=stage, settings=settings) + response = {"raw_out": result} if isinstance(result, str) else dict(result) + else: + if data_url is None: + stream = BytesIO() + image.save(stream, format="PNG") + encoded = base64.b64encode(stream.getvalue()).decode("ascii") + data_url = "data:image/png;base64," + encoded + payload = { + "model": self.model, + "messages": [ + { + "role": "user", + "content": [ + {"type": "text", "text": prompt}, + { + "type": "image_url", + "image_url": {"url": data_url}, + }, + ], + } + ], + **asdict(settings), + "skip_special_tokens": False, + } + reply = self.client.post( + self.base_url + "/chat/completions", + json=payload, + headers={"Authorization": "Bearer " + self.api_key}, + ) + reply.raise_for_status() + body = reply.json() + choice = body["choices"][0] + response = { + "raw_out": choice["message"].get("content") or "", + "finish_reason": choice.get("finish_reason"), + "usage": body.get("usage", {}), + } + if ( + response.get("error") + or response.get("finish_reason") not in (None, "stop", "eos") + or not isinstance(response.get("raw_out"), str) + or not response["raw_out"].strip() + ): + raise GenerationError(stage, response) + return response + + def parse(self, image, *, mode="single", triple_regions="union"): + """Return Markdown, structured blocks, raw stages, and inference settings. + + double: full-page parse followed by Table/Chart crop parsing. + triple: full-page parse, separate detection, then Table/Chart crops. + union adds nonoverlapping parser regions to the detector's proposals. + A pass describes a stage; a crop stage may make multiple model calls. + """ + if mode not in ("single", "double", "triple"): + raise ValueError("mode must be single, double, or triple") + if triple_regions not in ("detector", "union"): + raise ValueError("triple_regions must be detector or union") + if isinstance(image, Image.Image): + image = image.convert("RGB") + else: + with Image.open(image) as source: + image = source.convert("RGB") + stages = {"fullpage": self._generate(image, "fullpage"), "crops": []} + raw = clean_raw_output( + stages["fullpage"]["raw_out"], deduplicate=self.options.deduplicate + ) + regions = [] + if mode != "single": + page = geometry.PageImage( + "page", "image.png", Path("image.png"), *image.size + ) + args = SimpleNamespace( + include_detector_labels="table,chart", + detector_order="model", + detector_score_min=0.0, + max_elements_per_page=self.max_regions, + model_coordinate_frame="content_normalized", + canvas_width=1664.0, + canvas_height=2048.0, + pad_position="top-left", + ) + + def boxes(value): + return geometry.parse_model_detection_predictions( + args, [page], [{"key": "page", "raw_out": clean_raw_output(value)}] + ) + + direct_regions = boxes(raw) + if mode == "triple": + stages["detection"] = self._generate(image, "detection") + detected = boxes(stages["detection"]["raw_out"]) + selected = ( + select_union_regions( + detected, direct_regions, max_regions=self.max_regions + ) + if triple_regions == "union" + else detected + ) + else: + selected = direct_regions + regions = selected[0]["detections"] + for index, region in enumerate(regions): + pixels = geometry.crop_bbox_pixels( + tuple(region["bbox_norm"]), + *image.size, + margin_px=self.crop_margin_px, + margin_ratio=self.crop_margin_ratio, + ) + if pixels[2] - pixels[0] < 8 or pixels[3] - pixels[1] < 8: + continue + crop_image = image.crop(pixels) + # Match reference crop JPEG compression without creating temporary files. + stream = BytesIO() + crop_image.save(stream, format="JPEG", quality=95) + stream.seek(0) + with Image.open(stream) as decoded: + response = self._generate(decoded.convert("RGB"), "crop") + stages["crops"].append( + { + **response, + "crop_id": f"page__{index:03d}", + "page_key": "page", + "detector_label": region["label"], + "detector_score": region["score"], + "detector_bbox_norm": region["bbox_norm"], + "crop_bbox_pixels": pixels, + "page_size": image.size, + } + ) + raw = merge_crops(raw, stages["crops"], policy=self.merge_policy) + document = postprocess_document( + raw, image_size=image.size, options=self.options + ) + document["stages"] = stages + document["inference"] = { + "model": self.model, + "backend": ( + type(self.backend).__name__ if self.backend is not None else "vllm_http" + ), + "base_url": self.base_url if self.backend is None else None, + "mode": mode, + "triple_regions": triple_regions if mode == "triple" else None, + "image_size": list(image.size), + "regions": regions, + "requests": 1 + int(mode == "triple") + len(stages["crops"]), + "sampling": { + stage: asdict(setting) for stage, setting in self.settings.items() + }, + "postprocessing": asdict(self.options), + "max_regions": self.max_regions, + "merge_policy": self.merge_policy, + "crop_margin_ratio": self.crop_margin_ratio, + "crop_margin_px": self.crop_margin_px, + "crop_jpeg_quality": 95, + } + return document + + def parse_double(self, image): + return self.parse(image, mode="double") + + def parse_triple(self, image, *, triple_regions="union"): + return self.parse(image, mode="triple", triple_regions=triple_regions) + + def prepare(self, images, *, workers=8): + """Decode and encode page images once, before timed parsing; caches pixels in RAM.""" + from .batch import prepare_images + + return prepare_images(images, workers=workers) + + def parse_prepared( + self, + prepared, + *, + mode="single", + concurrency=128, + postprocess_workers=8, + triple_regions="union", + allow_partial=False, + schedule="pipelined", + ): + """Run a prepared batch with overlapping stages and bounded concurrency and detailed timings. + + Strict by default. allow_partial=True records capped responses, labels + affected pages incomplete, and omits incomplete crops from refinement. + """ + from .batch import parse_prepared + + return parse_prepared( + self, + prepared, + mode=mode, + concurrency=concurrency, + postprocess_workers=postprocess_workers, + triple_regions=triple_regions, + allow_partial=allow_partial, + schedule=schedule, + ) + + def parse_many( + self, images, *, mode="single", concurrency=None, triple_regions="union" + ): + """Parse in input order; default to 128 HTTP requests or 4 backend workers.""" + if concurrency is None: + concurrency = 128 if self.backend is None else 4 + if concurrency < 1: + raise ValueError("concurrency must be positive") + if self.backend is None: + return self.parse_prepared( + self.prepare(images), + mode=mode, + concurrency=concurrency, + triple_regions=triple_regions, + ).documents + with ThreadPoolExecutor(max_workers=concurrency) as pool: + return list( + pool.map( + lambda image: self.parse( + image, mode=mode, triple_regions=triple_regions + ), + images, + ) + ) + + +def main(): + import argparse + import json + + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--image", action="append", default=[]) + parser.add_argument("--image-dir", type=Path) + parser.add_argument("--output", type=Path, required=True) + parser.add_argument( + "--mode", choices=["single", "double", "triple"], default="single" + ) + parser.add_argument( + "--triple-regions", choices=["detector", "union"], default="union" + ) + parser.add_argument("--base-url", default="http://localhost:8000/v1") + parser.add_argument("--model", default="nemotron-parse") + parser.add_argument("--concurrency", type=int, default=128) + parser.add_argument("--postprocess-workers", type=int, default=8) + parser.add_argument("--allow-partial", action="store_true") + parser.add_argument( + "--merge-policy", choices=["alternatives", "guarded"], default="alternatives" + ) + parser.add_argument("--write-page-files", action="store_true") + parser.add_argument( + "--split-chart-value-percent", + action=argparse.BooleanOptionalAction, + default=True, + ) + parser.add_argument( + "--relocate-chart-captions", action=argparse.BooleanOptionalAction, default=True + ) + args = parser.parse_args() + images = list(map(Path, args.image)) + if args.image_dir: + images.extend( + sorted( + p + for p in args.image_dir.iterdir() + if p.suffix.lower() + in {".png", ".jpg", ".jpeg", ".webp", ".tif", ".tiff"} + ) + ) + images = list(dict.fromkeys(images)) + if not images: + parser.error("Provide --image or --image-dir") + if args.output.exists() and any(args.output.iterdir()): + parser.error("Choose an empty output directory") + options = PostprocessOptions( + split_chart_value_percent=args.split_chart_value_percent, + relocate_chart_captions=args.relocate_chart_captions, + ) + with DocumentParser( + args.base_url, args.model, options=options, merge_policy=args.merge_policy + ) as runner: + prepared = runner.prepare(images) + result = runner.parse_prepared( + prepared, + mode=args.mode, + concurrency=args.concurrency, + postprocess_workers=args.postprocess_workers, + triple_regions=args.triple_regions, + allow_partial=args.allow_partial, + ) + import gzip + + args.output.mkdir(parents=True, exist_ok=True) + with gzip.open( + args.output / "documents.jsonl.gz", "wt", encoding="utf-8" + ) as output: + for path, document in zip(images, result.documents): + output.write( + json.dumps({"image_path": str(path), **document}, ensure_ascii=False) + + "\n" + ) + (args.output / "metrics.json").write_text( + json.dumps(result.metrics, indent=2) + "\n", encoding="utf-8" + ) + if args.write_page_files: + for index, (path, document) in enumerate(zip(images, result.documents)): + stem = f"{index:04d}_{path.stem}" + (args.output / (stem + ".md")).write_text( + document["markdown"], encoding="utf-8" + ) + (args.output / (stem + ".json")).write_text( + json.dumps( + {"image_path": str(path), **document}, ensure_ascii=False, indent=2 + ), + encoding="utf-8", + ) + print(json.dumps(result.metrics, indent=2)) + + +if __name__ == "__main__": + main() diff --git a/nemotron_parse/postprocessing.py b/nemotron_parse/postprocessing.py new file mode 100644 index 0000000000000000000000000000000000000000..95d65bca4c4e0bbd4e61d05edf8d8dc6c450753a --- /dev/null +++ b/nemotron_parse/postprocessing.py @@ -0,0 +1,231 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""Prediction-only document rendering; no benchmark data or scorer dependencies.""" +from dataclasses import dataclass +import math +import re + +from . import tables +from .engine import markdown as adapter, policies +from .engine.header_inference_probe import infer_header_rows +from .engine.text_cleanup import ( + normalize_text, + repair_empty_prefix, + dedupe_exact_elements, +) +from .engine.chart_caption import transform as chart_captions +from .engine.chart_context import add_native_subtitles +from .engine.caption_relocation import relocate_above_captions + + +@dataclass(frozen=True) +class PostprocessOptions: + """Structural cleanup is shared; presentation heuristics can be disabled. + + Numeric pair splitting adds Value/Percent column labels and is enabled by default. + Caption association is enabled by default; either presentation rule can be disabled. + """ + + infer_headers: bool = True + render_charts: bool = True + split_chart_value_percent: bool = True + relocate_chart_captions: bool = True + normalize_text: bool = True + deduplicate: bool = True + + +def clean_raw_output(raw, *, deduplicate=True): + raw = repair_empty_prefix(raw or "") + return dedupe_exact_elements(raw) if deduplicate else raw + + +def extract_classes_bboxes(text): + """Extract normalized boxes and literal bodies, keeping predicted classes.""" + return adapter.extract_classes_bboxes(clean_raw_output(text)) + + +def transform_bbox_to_original( + bbox, + original_width, + original_height, + target_w=1664, + target_h=2048, + padded_width=None, + padded_height=None, + pad_left=0, + pad_top=0, +): + """Scale content-normalized coordinates; padding arguments are legacy-only.""" + if original_width <= 0 or original_height <= 0: + raise ValueError("Image dimensions must be positive") + values = tuple(float(value) for value in bbox) + if len(values) != 4 or not all(math.isfinite(value) for value in values): + raise ValueError("Expected four finite bbox coordinates") + x1, x2 = sorted((values[0], values[2])) + y1, y2 = sorted((values[1], values[3])) + return tuple( + min(size, max(0.0, value * size)) + for value, size in zip((x1, y1, x2, y2), (original_width, original_height) * 2) + ) + + +def remove_nemotron_formatting(text): + return text.replace("", "").replace(r"\<|unk|\>", "").replace(r"\unknown", "") + + +def convert_mmd_to_plain_text_ours(text): + """Remove simple markup while protecting code, math, and literal hashes.""" + protected = [] + + def protect(match): + protected.append(match[0]) + return f"\x00{len(protected)-1}\x00" + + text = re.sub( + r"```.*?```|`[^`\n]*`|\$\$.*?\$\$|(?(.*?)", lambda m: "^{" + m[1] + "}", text, flags=re.S) + text = re.sub(r"(.*?)", lambda m: "_{" + m[1] + "}", text, flags=re.S) + text = re.sub(r"", "\n", text, flags=re.I) + text = re.sub(r"(?m)^ {0,3}#{1,6}[ \t]+", "", text) + text = re.sub(r"\*\*(\S(?:[^\n]*?\S)?)\*\*", r"\1", text) + text = re.sub(r"(?]*>.*?", + lambda m: infer_header_rows(m[0])[0], + text, + flags=re.S | re.I, + ) + text = policies.promote_bold_header_row(text) + return text + + +def postprocess_text( + text, + cls="Text", + text_format="markdown", + table_format="latex", + blank_text_in_figures=False, + *, + options=None, +): + """Process one block, retaining all previously supported export formats.""" + options = options or PostprocessOptions() + if text_format not in ("markdown", "plain"): + raise ValueError("text_format must be markdown or plain") + formats = ("latex", "HTML", "markdown", "json", "json_hierarchical", "csv") + if table_format not in formats: + raise ValueError(f"table_format must be one of {formats}") + text = remove_nemotron_formatting(text) + if options.normalize_text: + text = normalize_text(cls, text) + if blank_text_in_figures and cls == "Picture": + return "" + if cls == "Table": + if table_format == "latex": + return text + html = _table_html(text, options) + converters = { + "HTML": lambda s: s, + "markdown": tables.convert_html_tables_to_markdown, + "json": tables.convert_html_table_to_json, + "json_hierarchical": tables.convert_html_table_to_json_hierarchical, + "csv": tables.convert_html_table_to_csv, + } + return converters[table_format](html) + if cls == "Chart" and options.render_charts: + text = render_markdown( + "" + text + "", options=options + ) + return convert_mmd_to_plain_text_ours(text) if text_format == "plain" else text + + +def render_markdown(raw, *, options=None): + """Render a page, preserving predicted block order and chart context.""" + options = options or PostprocessOptions() + raw = clean_raw_output(raw, deduplicate=options.deduplicate) + + def base(value): + if options.render_charts: + value = policies.chart_render( + value, panels=True, compound=options.split_chart_value_percent + ) + + def chart(match): + if match[4] != "Chart": + return match[0] + rendered = adapter.mmd_to_markdown(match[0]) + rendered, count = chart_captions(rendered) + return match[1] + rendered + match[3] if count else match[0] + + value = policies.BLOCK.sub(chart, value) + value = adapter.mmd_to_markdown( + value, text_transform=normalize_text if options.normalize_text else None + ) + if options.infer_headers: + value = re.sub( + r"]*>.*?", + lambda m: infer_header_rows(m[0])[0], + value, + flags=re.S | re.I, + ) + value = policies.promote_bold_header_row(value) + return value + + text = base(raw) + if options.render_charts: + if options.relocate_chart_captions: + text = relocate_above_captions(raw, text, base) + text = add_native_subtitles(text) + return text + + +def postprocess_document(raw, *, image_size=None, options=None): + """Return JSON-serializable Markdown, normalized blocks, and cleaned raw text. + + Blocks preserve their model order and original per-block content; rendered + content is provided separately. Pixel boxes are added when image_size=(w,h). + """ + options = options or PostprocessOptions() + cleaned = clean_raw_output(raw, deduplicate=options.deduplicate) + classes, boxes, texts = adapter.extract_classes_bboxes(cleaned) + blocks = [] + for cls, bbox, text in zip(classes, boxes, texts): + block = { + "class": cls, + "bbox": list(bbox), + "text": text, + "content": postprocess_text( + text, cls, table_format="HTML", options=options + ), + } + if image_size is not None: + block["bbox_pixels"] = list(transform_bbox_to_original(bbox, *image_size)) + blocks.append(block) + return { + "raw_out": cleaned, + "markdown": render_markdown(cleaned, options=options), + "blocks": blocks, + "warnings": [ + { + "block_index": index, + "message": "Table markup could not be fully converted; original content preserved.", + } + for index, block in enumerate(blocks) + if block["class"] == "Table" and r"\begin{tabular}" in block["content"] + ], + "coordinate_frame": "content_normalized", + } diff --git a/nemotron_parse/tables.py b/nemotron_parse/tables.py new file mode 100644 index 0000000000000000000000000000000000000000..76156c67d7775765977989c2b15a1be0ce701c53 --- /dev/null +++ b/nemotron_parse/tables.py @@ -0,0 +1,356 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""Table conversion and exports shared by public postprocessing helpers.""" +import csv +import io +import json +from bs4 import BeautifulSoup +from .engine.convert.latex2html import latex_table_to_html + + +def convert_single_table(table): + """ + Convert a single HTML table to Markdown format. + + Multi-row headers are flattened into a single header row using + dot-notation column paths built from ``_expand_spans`` / + ``_build_column_paths``. + + Args: + table: BeautifulSoup table element + + Returns: + str: Markdown table string + """ + grid, header_rows = _expand_spans(table) + if not grid: + return "" + + paths = _build_column_paths(grid, header_rows) + data_rows = grid[header_rows:] + + markdown_lines = [] + + header_data = [p.replace("|", "\\|") for p in paths] + markdown_lines.append("| " + " | ".join(header_data) + " |") + markdown_lines.append("| " + " | ".join(["---"] * len(paths)) + " |") + + for row in data_rows: + row_data = [cell.replace("|", "\\|") for cell in row] + markdown_lines.append("| " + " | ".join(row_data) + " |") + + return "\n".join(markdown_lines) + + +def convert_html_tables_to_markdown(html_content): + """ + Find all HTML tables and convert them to Markdown while preserving all other content. + + Args: + html_content (str): HTML content that may contain tables + + Returns: + str: HTML content with tables converted to Markdown + """ + soup = BeautifulSoup(html_content, "html.parser") + + # Find all tables + tables = soup.find_all("table") + + if not tables: + return html_content # Return original content unchanged + + # Convert each table to markdown and replace it + for table in tables: + markdown_table = convert_single_table(table) + + # Create a new element to replace the table + replacement = soup.new_string("\n" + markdown_table + "\n") + table.replace_with(replacement) + + return str(soup) + + +def _expand_spans(table): + """ + Expand colspan/rowspan in a BeautifulSoup into a regular grid. + Returns a tuple ``(grid, header_rows)`` where *grid* is a list-of-lists + of cell text strings and *header_rows* is the number of rows inside + ```` (zero when no leading header cells are present). + """ + thead = table.find("thead") + header_rows = 0 + for row in table.find_all("tr"): + cells = row.find_all(["td", "th"], recursive=False) + if not cells or not all(cell.name == "th" for cell in cells): + break + header_rows += 1 + + rows = table.find_all("tr") + if not rows: + return [], 0 + + occupied = {} + width = 0 + for r, row in enumerate(rows): + c = 0 + for cell in row.find_all(["td", "th"], recursive=False): + while (r, c) in occupied: + c += 1 + colspan = int(cell.get("colspan", 1)) + rowspan = int(cell.get("rowspan", 1)) + if not 1 <= colspan <= 512 or not 1 <= rowspan <= len(rows) - r: + raise ValueError("Invalid table span") + value = cell.get_text(separator=" ", strip=True) + for rr in range(r, r + rowspan): + for cc in range(c, c + colspan): + if (rr, cc) in occupied: + raise ValueError("Overlapping table spans") + occupied[rr, cc] = value + c += colspan + width = max(width, c) + grid = [[occupied.get((r, c), "") for c in range(width)] for r in range(len(rows))] + + return grid, header_rows + + +def _build_column_paths(grid, header_rows): + """Build hierarchical column names from multi-row headers. + + For each column, walk down rows ``0..header_rows-1``, collect distinct + non-empty labels (skipping duplicates produced by rowspan fill), and + join with ``'.'``. + """ + num_cols = len(grid[0]) if grid else 0 + paths = [] + for c in range(num_cols): + parts = [] + prev = None + for r in range(header_rows): + val = grid[r][c].strip() if r < len(grid) else "" + if val and val != prev: + parts.append(val) + prev = val + paths.append(".".join(parts) if parts else f"column_{c}") + return paths + + +def _deduplicate_headers(raw_headers): + """Keep existing names and assign collision-free names to duplicates.""" + reserved = {h or "column" for h in raw_headers} + used = set() + result = [] + for value in raw_headers: + base = value or "column" + name = base + suffix = 1 + if name in used: + while True: + name = f"{base}_{suffix}" + suffix += 1 + if name not in reserved and name not in used: + break + used.add(name) + result.append(name) + return result + + +def _grid_to_records(grid, header_rows=1): + """ + Convert a grid (list-of-lists) to a list of dicts. When *header_rows* > 1 + the column names are built by joining the distinct labels down each column + with ``'.'``. Duplicate or empty headers get disambiguated with a suffix. + """ + if len(grid) < header_rows + 1: + return grid + + raw_headers = _build_column_paths(grid, header_rows) + headers = _deduplicate_headers(raw_headers) + return [dict(zip(headers, row)) for row in grid[header_rows:]] + + +def convert_html_table_to_json(html_content, records=True): + """ + Convert HTML tables produced by ``latex_table_to_html`` into JSON. + + Parameters + ---------- + html_content : str + HTML string (may contain one or more ``
`` elements and + surrounding non-table text). + records : bool + If *True* (default) the header rows are used to build hierarchical + column names (dot-separated) and each subsequent row becomes a + ``{header: value, ...}`` dict. + If *False* the table is returned as a plain list-of-lists. + + Returns + ------- + str + A JSON string. If the input contains a single table the top-level + value is a list (of dicts or lists). If there are multiple tables + the top-level value is a list of such lists. + """ + soup = BeautifulSoup(html_content, "html.parser") + tables = soup.find_all("table") + + if not tables: + return html_content + + results = [] + for table in tables: + grid, header_rows = _expand_spans(table) + if records: + results.append(_grid_to_records(grid, header_rows)) + else: + results.append(grid) + + payload = results[0] if len(results) == 1 else results + return json.dumps(payload, ensure_ascii=False, indent=2) + + +def _extract_cell_objects(table): + """Extract rows of cell-objects that preserve span metadata. + + Each cell is represented as a dict with ``text``, ``rowspan``, + ``colspan``, and ``is_header`` fields. Cells covered by a prior + span are **not** duplicated — only the originating cell appears. + This makes the representation lossless: you can reconstruct the + HTML (or LaTeX) ``rowspan``/``colspan`` structure from it. + + Returns ``(header_cell_rows, body_cell_rows, num_cols)`` where each + ``*_cell_rows`` is a list of lists of cell-dicts. + """ + thead = table.find("thead") + tbody = table.find("tbody") + + def rows_from(section): + return section.find_all("tr") if section else [] + + header_count = _expand_spans(table)[1] + header_trs = table.find_all("tr")[:header_count] + if tbody: + body_trs = rows_from(tbody) + else: + all_trs = table.find_all("tr") + body_trs = all_trs[len(header_trs) :] + + num_cols = 0 + for row in table.find_all("tr"): + col_count = sum(int(c.get("colspan", 1)) for c in row.find_all(["td", "th"])) + num_cols = max(num_cols, col_count) + + def process_rows(trs): + out = [] + for tr in trs: + row_cells = [] + for cell in tr.find_all(["td", "th"]): + colspan = int(cell.get("colspan", 1)) + rowspan = int(cell.get("rowspan", 1)) + text = cell.get_text(separator=" ", strip=True) + is_header = cell.name == "th" + obj = {"text": text} + if rowspan != 1: + obj["rowspan"] = rowspan + if colspan != 1: + obj["colspan"] = colspan + if is_header: + obj["is_header"] = True + row_cells.append(obj) + out.append(row_cells) + return out + + return process_rows(header_trs), process_rows(body_trs), num_cols + + +def convert_html_table_to_json_hierarchical(html_content): + """ + Convert HTML tables into a structured JSON format that explicitly + separates header rows from data rows and preserves cell-level span + metadata for lossless round-tripping. + + Returns + ------- + str + A JSON string. Each table becomes an object with: + + - ``header_rows`` (int): number of header rows. + - ``columns`` (list[str]): pre-flattened dot-notation column + names (e.g. ``"International.EMEA.Q1"``). + - ``headers`` (list[list[cell]]): header rows where each cell + is either a plain string or an object with ``text``, + ``rowspan``, and/or ``colspan`` keys. Cells spanned by a + prior cell are omitted (not duplicated), so the original + merge structure is fully recoverable. + - ``data`` (list[list[str]]): body rows (flat string arrays). + + If the input contains a single table the top-level value is a + single object; multiple tables produce a list of objects. + """ + soup = BeautifulSoup(html_content, "html.parser") + tables = soup.find_all("table") + + if not tables: + return html_content + + results = [] + for table in tables: + header_cells, body_cells, num_cols = _extract_cell_objects(table) + grid, header_row_count = _expand_spans(table) + columns = _build_column_paths(grid, header_row_count) + columns = _deduplicate_headers(columns) + + def simplify_cell(obj): + if obj.get("rowspan", 1) == 1 and obj.get("colspan", 1) == 1: + return obj["text"] + return {k: v for k, v in obj.items() if k != "is_header"} + + headers = [[simplify_cell(c) for c in row] for row in header_cells] + data = [[c["text"] for c in row] for row in body_cells] + + results.append( + { + "header_rows": header_row_count, + "columns": columns, + "headers": headers, + "data": data, + "body_cells": body_cells, + } + ) + + payload = results[0] if len(results) == 1 else results + return json.dumps(payload, ensure_ascii=False, indent=2) + + +def convert_html_table_to_csv(html_content): + """ + Convert HTML tables produced by ``latex_table_to_html`` into CSV. + + Multi-row headers are collapsed into a single CSV header row using + dot-notation column paths. Each table becomes a CSV block separated + by a blank line. + + Returns + ------- + str + CSV-formatted string. + """ + soup = BeautifulSoup(html_content, "html.parser") + tables = soup.find_all("table") + + if not tables: + return html_content + + csv_blocks = [] + for table in tables: + grid, header_rows = _expand_spans(table) + paths = _build_column_paths(grid, header_rows) + data_rows = grid[header_rows:] + + buf = io.StringIO() + writer = csv.writer(buf) + writer.writerow(paths) + writer.writerows(data_rows) + csv_blocks.append(buf.getvalue().rstrip("\r\n")) + + return "\n\n".join(csv_blocks) diff --git a/postprocessing.py b/postprocessing.py new file mode 100644 index 0000000000000000000000000000000000000000..5a4e51b1fc28729786c89ba30890ce1a14550a64 --- /dev/null +++ b/postprocessing.py @@ -0,0 +1,14 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 +"""Backwards-compatible helpers backed by the shared document renderer.""" +from nemotron_parse.postprocessing import ( + PostprocessOptions, + clean_raw_output, + extract_classes_bboxes, + transform_bbox_to_original, + postprocess_text, + remove_nemotron_formatting, + convert_mmd_to_plain_text_ours, + render_markdown, + postprocess_document, +) diff --git a/preprocessor_config.json b/preprocessor_config.json new file mode 100644 index 0000000000000000000000000000000000000000..a3933449b5a6eb9555fd7f29ce229f598f74c665 --- /dev/null +++ b/preprocessor_config.json @@ -0,0 +1,40 @@ +{ + "feature_extractor_type": "NemotronParseImageProcessor", + "image_processor_type": "NemotronParseImageProcessor", + "processor_class": "NemotronParseProcessor", + "auto_map": { + "AutoImageProcessor": "hf_nemotron_parse_processor.NemotronParseImageProcessor", + "AutoProcessor": "hf_nemotron_parse_processor.NemotronParseProcessor" + }, + "do_normalize": true, + "image_mean": [ + 0.48145466, + 0.4578275, + 0.40821073 + ], + "image_std": [ + 0.26862954, + 0.26130258, + 0.27577711 + ], + "do_rescale": true, + "rescale_factor": 0.00392156862745098, + "size": { + "height": 2048, + "width": 1664, + "longest_edge": [ + 2048, + 1664 + ] + }, + "final_size": [ + 2048, + 1664 + ], + "navit_packing": true, + "navit_padding_mode": "top_left_white", + "navit_coordinate_frame": "content_normalized", + "virtual_canvas_width": 1664, + "virtual_canvas_height": 2048, + "virtual_canvas_placement": "aligned_center" +} diff --git a/privacy.md b/privacy.md new file mode 100644 index 0000000000000000000000000000000000000000..29d6539864897277e12c587225f1424a75384c70 --- /dev/null +++ b/privacy.md @@ -0,0 +1,2 @@ +## Privacy +The datasets used to train this model were reviewed before release. Please review NVIDIA’s Privacy Policy (https://www.nvidia.com/en-us/about-nvidia/privacy-policy/) for more information. diff --git a/processor_config.json b/processor_config.json new file mode 100644 index 0000000000000000000000000000000000000000..4959a42e3da9cb1fe6173d2096d0ccf3b37bcb44 --- /dev/null +++ b/processor_config.json @@ -0,0 +1,8 @@ +{ + "processor_class": "NemotronParseProcessor", + "image_processor_type": "NemotronParseImageProcessor", + "auto_map": { + "AutoProcessor": "hf_nemotron_parse_processor.NemotronParseProcessor", + "AutoImageProcessor": "hf_nemotron_parse_processor.NemotronParseImageProcessor" + } +} diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000000000000000000000000000000000000..db007f764073127035b53cd4def7ed8c7abdce9d --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,49 @@ +[build-system] +requires = ["setuptools==80.9.0", "wheel==0.46.3"] +build-backend = "setuptools.build_meta" + +[project] +name = "nemotron-parse" +version = "3.5.0.post7" +description = "Nemotron 3.5 Parse document parsing and vLLM integration" +requires-python = ">=3.10" +license = "LicenseRef-OpenMDW-1.1" +license-files = ["LICENSE", "THIRD_PARTY_NOTICES.md", "TOKENIZER_ATTRIBUTION.md"] +dependencies = [ + "torch>=2.11.0,<2.14", + "torchvision>=0.26.0,<0.29", + "transformers>=5.14.1,<5.20", + "huggingface-hub>=1.24.0,<2", + "packaging>=24.2", + "accelerate==1.12.0", + "timm==1.0.22", + "einops==0.8.1", + "Pillow>=12.2.0,<13", + "numpy==2.2.6", + "safetensors==0.8.0", + "beautifulsoup4==4.13.3", +] + +# FlashAttention FA3 is supplied by the selected vLLM build, not a standalone flash-attn wheel. +[project.optional-dependencies] +vllm = ["vllm>=0.25.0,<0.33"] +client = ["openai==2.30.0", "httpx==0.28.1"] +dev = ["pytest==9.0.2"] + +[project.entry-points."vllm.general_plugins"] +nemotron_parse_35 = "vllm_tied_patch.plugin:register" + +[project.scripts] +nemotron-parse = "nemotron_parse.inference:main" + +[tool.setuptools] +py-modules = ["postprocessing", "latex2html"] + +[tool.setuptools.packages.find] +include = ["vllm_tied_patch*", "nemotron_parse*"] + +[tool.setuptools.package-data] +nemotron_parse = ["SOURCE_MANIFEST.json"] + +[tool.uv] +package = true diff --git a/results.json b/results.json new file mode 100644 index 0000000000000000000000000000000000000000..5b8a31f0ac9a332f62e0573fa058bb123603cf9f --- /dev/null +++ b/results.json @@ -0,0 +1,321 @@ +{ + "config": { + "HF_USER": "sandeeprdy1729", + "MODEL_NAME": "thrisul-parser", + "BASE_MODEL": "nvidia/Nemotron-3.5-Parse", + "SMOKE": false, + "MAKE_PUBLIC": false, + "SESSION_HOURS": 11.0, + "SAFETY_MIN": 20, + "SEED": 1729, + "N_LABEL": 1200, + "N_VAL": 60, + "N_EVAL_SYNTH": 150, + "N_EVAL_PARSEBENCH": 60, + "N_EVAL_PAGES": 24, + "USE_CHARTNET": true, + "CHARTNET_N": 300, + "MAX_NEW_TOKENS": 3072, + "GEN_BATCH": 4, + "MAX_SIDE_INFER": 1664, + "MAX_SIDE_TRAIN": 1024, + "MAX_TRAIN_TGT": 1536, + "LORA_R": 16, + "LORA_ALPHA": 32, + "LORA_DROPOUT": 0.05, + "LR": 0.0001, + "GRAD_ACCUM": 8, + "EPOCHS": 1, + "WARMUP": 20, + "CKPT_EVERY": 100, + "PUSH_CKPT_EVERY": 200, + "GAIN_EPS": 0.02, + "CAPTURE": 0.9 + }, + "base_sha": "62cb1e4ba153d113ff64aaf2be6e068c377cf53c", + "labels": { + "n": 1200, + "sec_per_sample": 2.5694666216770807, + "mean_lo": 0.7824470248569356, + "mean_hi": 0.8962117490973753, + "frac_gain": 0.49083333333333334, + "parse_ok": 0.9875 + }, + "router_ablation": [ + { + "features": "entropy+structure", + "spearman": 0.6529562243429573, + "auc": 0.8504330622236919, + "refine_frac_for_90pct_gain": 0.5483333333333333, + "gain_captured_at_30pct": 0.7914111949039667 + }, + { + "features": "all (entropy+structure+render)", + "spearman": 0.6594366405113719, + "auc": 0.8521364125164291, + "refine_frac_for_90pct_gain": 0.5383333333333333, + "gain_captured_at_30pct": 0.7877475856657824 + }, + { + "features": "entropy", + "spearman": 0.6458741281400708, + "auc": 0.8439128151406444, + "refine_frac_for_90pct_gain": 0.5516666666666666, + "gain_captured_at_30pct": 0.7731379897303082 + }, + { + "features": "render only", + "spearman": 0.41695365073916335, + "auc": 0.7316723120826721, + "refine_frac_for_90pct_gain": 0.7666666666666667, + "gain_captured_at_30pct": 0.6062691450772286 + }, + { + "features": "structure", + "spearman": 0.28691509803004317, + "auc": 0.6633813031602288, + "refine_frac_for_90pct_gain": 0.9175, + "gain_captured_at_30pct": 0.5408676609527453 + } + ], + "router": { + "features": "entropy+structure", + "tau": 0.038593222714288306, + "refine_fraction_at_tau": 0.5483333333333333, + "n_train": 1200 + }, + "train_data": { + "lowres": 883, + "anchor": 220, + "replay": 220, + "val": 60 + }, + "train": { + "steps": 166, + "total_steps": 166, + "skipped": 0, + "sec_per_micro": 0.25595727904015275, + "max_side": 1024, + "trainable_m": 2.78528, + "val_loss_before": 0.3022402390333203, + "val_loss_after": 0.14764576155381898, + "val_acc_before": 0.9497515847285588, + "val_acc_after": 0.9561887582143148 + }, + 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"regions_refined": 22, + "n": 24 + } + ], + "text_regression_similarity": 97.00870585905193, + "leaderboard_columns": [ + "Provider", + "Category", + "Overall", + "Tables", + "Charts", + "Content_Faithfulness", + "Semantic_Formatting", + "Visual_Grounding", + "Cost_Per_Page", + "Cost_Charts", + "Cost_Tables", + "Cost_Text", + "Cost_Layout", + "HF_Model_ID" + ], + "published_parsebench": { + "Nemotron 3.5 Parse (single pass)": 72.74, + "Nemotron 3.5 Parse (double pass)": 74.92, + "Nemotron 3.5 Parse (triple pass)": 75.2, + "Infinity-Parser2-Pro (paper, self-reported)": 74.3 + } +} \ No newline at end of file diff --git a/run_transformers_inference.py b/run_transformers_inference.py new file mode 100644 index 0000000000000000000000000000000000000000..a9bb7d967ae0536f61db23197aeccb0fbc2590e6 --- /dev/null +++ b/run_transformers_inference.py @@ -0,0 +1,97 @@ +#!/usr/bin/env python3 +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Run Nemotron 3.5 Parse on an image with Transformers.""" + +from __future__ import annotations + +import argparse +from pathlib import Path + +import torch +from PIL import Image, ImageDraw +from transformers import AutoModel, AutoProcessor, GenerationConfig + + +DEFAULT_PROMPT = "" + + +def parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument( + "--model", + type=Path, + default=Path(__file__).resolve().parent, + help="Model directory (defaults to the folder containing this script).", + ) + parser.add_argument("--image", type=Path, required=True) + parser.add_argument("--prompt", default=DEFAULT_PROMPT) + parser.add_argument("--device", default="cuda:0" if torch.cuda.is_available() else "cpu") + parser.add_argument("--max-new-tokens", type=int, default=8744) + parser.add_argument("--repetition-penalty", type=float, default=1.1) + parser.add_argument("--local-files-only", action="store_true") + parser.add_argument("--save-overlay", type=Path, default=None) + return parser.parse_args() + + +def main() -> None: + args = parse_args() + model_dir = args.model.resolve() + + image = Image.open(args.image).convert("RGB") + dtype = torch.bfloat16 if args.device.startswith("cuda") else torch.float32 + + model = AutoModel.from_pretrained( + model_dir, + trust_remote_code=True, + dtype=dtype, + local_files_only=args.local_files_only, + ).to(args.device).eval() + processor = AutoProcessor.from_pretrained( + model_dir, + trust_remote_code=True, + local_files_only=args.local_files_only, + ) + + inputs = processor( + images=[image], + text=args.prompt, + return_tensors="pt", + add_special_tokens=False, + ).to(args.device) + + generation_config = GenerationConfig.from_pretrained( + model_dir, + trust_remote_code=True, + local_files_only=args.local_files_only, + ) + generation_config.max_new_tokens = args.max_new_tokens + generation_config.do_sample = False + generation_config.num_beams = 1 + generation_config.repetition_penalty = args.repetition_penalty + + with torch.inference_mode(): + output_ids = model.generate(**inputs, generation_config=generation_config) + + generated_text = processor.batch_decode(output_ids, skip_special_tokens=False)[0] + print(generated_text) + + if args.save_overlay is not None: + from postprocessing import extract_classes_bboxes, transform_bbox_to_original + + _classes, bboxes, _texts = extract_classes_bboxes(generated_text) + bboxes = [transform_bbox_to_original(bbox, image.width, image.height) for bbox in bboxes] + draw = ImageDraw.Draw(image) + for bbox in bboxes: + draw.rectangle( + (bbox[0], bbox[1], max(bbox[0], bbox[2]), max(bbox[1], bbox[3])), + outline="red", + width=2, + ) + args.save_overlay.parent.mkdir(parents=True, exist_ok=True) + image.save(args.save_overlay) + + +if __name__ == "__main__": + main() diff --git a/safety.md b/safety.md new file mode 100644 index 0000000000000000000000000000000000000000..2c72aa636af1ff20fd299f442e1c6bcd9d7a408d --- /dev/null +++ b/safety.md @@ -0,0 +1,12 @@ +## Safety + +Field | Response +:---- | :---- +Model Application Field(s): | Document intelligence, information retrieval, enterprise automation, data extraction, multimodal data curation, and retrieval-augmented generation workflows. +Describe the life critical impact (if present). | Not Applicable. This model is not intended to make life-critical, legal, medical, financial, or safety-critical decisions without downstream validation and human oversight. +Use Case Restrictions: | Governing Terms: Your use of this model is governed by the [OpenMDW License Agreement, version 1.1](https://openmdw.ai/license/1-1/). Use of the tokenizer included in this model is governed by the [MIT license and tokenizer attribution](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/TOKENIZER_ATTRIBUTION.md). See [third-party notices](https://huggingface.co/nvidia/Nemotron-3.5-Parse/blob/main/THIRD_PARTY_NOTICES.md) for separately installed dependencies. +Input permissions: | Users are responsible for ensuring they have rights and permissions for input documents and images. +Model and dataset restrictions: | The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to. + + +**You are responsible for ensuring that your use of NVIDIA-provided models complies with all applicable laws.** diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000000000000000000000000000000000000..0a7046614fdd6368c44cbb4b182d83a9d18b61bf --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,39 @@ +{ + "additional_special_tokens": [ + { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } + ], + "bos_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/tests/test_batch.py b/tests/test_batch.py new file mode 100644 index 0000000000000000000000000000000000000000..3603976e60c9c269fe31eb56ce79c5a59899de1b --- /dev/null +++ b/tests/test_batch.py @@ -0,0 +1,331 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +import gzip +import json +from pathlib import Path +from io import BytesIO +import base64 +import httpx +from PIL import Image +import pytest +from nemotron_parse import PostprocessOptions +from nemotron_parse.inference import DocumentParser, GenerationError +from test_postprocessing import block, tabular + + +def test_rules_are_enabled_by_default(): + options = PostprocessOptions() + assert options.split_chart_value_percent and options.relocate_chart_captions + + +def test_prepared_batch_preserves_input_order_and_pixels(tmp_path): + paths = [] + for width in [20, 30]: + p = tmp_path / f"{width}.jpg" + Image.new("RGB", (width, 20), "red").save(p) + paths.append(p) + calls = [] + + def backend(image, *, stage, **kwargs): + calls.append((stage, image.size)) + return block(str(image.width)) + + with DocumentParser(backend=backend) as parser: + prepared = parser.prepare(paths) + assert prepared.pages[0].data_url.startswith("data:image/jpeg;") + result = parser.parse_prepared(prepared, postprocess_workers=1) + assert [d["markdown"] for d in result.documents] == ["20", "30"] + assert result.metrics["complete_pages"] == 2 + assert result.metrics["postprocessing"]["split_chart_value_percent"] is True + assert result.metrics["processed_pages_per_second"] > 0 + assert result.metrics["requests"] == {"fullpage": 2, "detection": 0, "crop": 0} + + +def test_stage_wide_triple_matches_sequential(): + table = tabular(r"\thead{A} & \thead{B}", "a & 10") + + def backend(image, *, stage, **kwargs): + if stage == "fullpage": + return block("Before", box=(0, 0, 1, 0.05)) + if stage == "detection": + return block("", "Table", (0.2, 0.3, 0.8, 0.7)) + return block(table, "Table", (0, 0, 1, 1)) + + with DocumentParser( + backend=backend, crop_margin_px=0, crop_margin_ratio=0 + ) as parser: + image = Image.new("RGB", (100, 100)) + sequential = parser.parse_triple(image) + batched = parser.parse_prepared( + parser.prepare([image]), mode="triple", postprocess_workers=1 + ) + assert batched.documents[0]["markdown"] == sequential["markdown"] + assert batched.documents[0]["blocks"] == sequential["blocks"] + assert batched.metrics["requests"] == {"fullpage": 1, "detection": 1, "crop": 1} + + +def test_preencoded_http_crop_and_fullpage_requests(): + calls = [] + + def handle(request): + body = json.loads(request.content) + url = body["messages"][0]["content"][1]["image_url"]["url"] + calls.append(url) + image = Image.open(BytesIO(base64.b64decode(url.split(",")[1]))) + assert image.mode == "RGB" + raw = block(tabular("A & 10", "B & 20"), "Table") + return httpx.Response( + 200, + json={"choices": [{"message": {"content": raw}, "finish_reason": "stop"}]}, + ) + + with httpx.Client(transport=httpx.MockTransport(handle)) as client: + with DocumentParser(client=client) as parser: + result = parser.parse_prepared( + parser.prepare([Image.new("RGB", (100, 100))]), + mode="double", + postprocess_workers=1, + ) + assert calls[0].startswith("data:image/png;") and calls[1].startswith( + "data:image/jpeg;" + ) + assert result.metrics["requests"]["crop"] == 1 + + +def test_partial_outputs_require_explicit_opt_in(): + backend = lambda image, **kwargs: { + "raw_out": block("partial"), + "finish_reason": "length", + } + with DocumentParser(backend=backend) as parser: + prepared = parser.prepare([Image.new("RGB", (20, 20))]) + with pytest.raises(GenerationError): + parser.parse_prepared(prepared, postprocess_workers=1) + result = parser.parse_prepared( + prepared, postprocess_workers=1, allow_partial=True + ) + assert ( + result.metrics["complete_pages"] == 0 + and result.metrics["incomplete_pages"] == 1 + ) + assert result.metrics["token_limited_responses"] == {"fullpage": 1} + assert result.documents[0]["complete"] is False + assert result.documents[0]["generation_warnings"] + + +def test_capped_crop_is_retained_but_not_merged(): + table = tabular("A & old", "B & 20") + + def backend(image, *, stage, **kwargs): + return { + "raw_out": block(table, "Table"), + "finish_reason": "stop" if stage == "fullpage" else "length", + } + + with DocumentParser(backend=backend) as parser: + result = parser.parse_prepared( + parser.prepare([Image.new("RGB", (100, 100))]), + mode="double", + allow_partial=True, + postprocess_workers=1, + ) + assert result.documents[0]["stages"]["crops"][0]["finish_reason"] == "length" + assert result.metrics["complete_pages"] == 0 + assert "old" in result.documents[0]["markdown"] + + +def test_spawned_render_workers_preserve_order(): + with DocumentParser(backend=lambda image, **kw: block(str(image.width))) as parser: + prepared = parser.prepare([Image.new("RGB", (20 + i, 20)) for i in range(16)]) + result = parser.parse_prepared(prepared, postprocess_workers=2) + assert [d["markdown"] for d in result.documents] == list(map(str, range(20, 36))) + + +def test_chart_attributes_are_supported_in_refinement(): + from nemotron_parse.inference import merge_crops + + chart = '\ntitle: Sales\n| Item | Value |\n| --- | --- |\n| A | 10 |\n| B | 20 |\n' + row = { + "raw_out": block(chart.replace("10", "11"), "Chart", (0, 0, 1, 1)), + "detector_label": "chart", + "detector_score": 1.0, + "detector_bbox_norm": (0.1, 0.1, 0.9, 0.9), + "crop_bbox_pixels": (10, 10, 90, 90), + "page_size": (100, 100), + } + assert "| A | 11 |" in merge_crops(block(chart, "Chart"), [row], policy="guarded") + + +def test_detection_and_crop_overlap_fullpage_with_one_bounded_window(): + import threading + + crop_started = threading.Event() + lock = threading.Lock() + active = peak = 0 + + def backend(image, *, stage, **kwargs): + nonlocal active, peak + with lock: + active += 1 + peak = max(peak, active) + try: + if stage == "fullpage": + assert crop_started.wait( + 3 + ), "crop should run before full-page parsing finishes" + return block("Text", box=(0, 0, 1, 0.1)) + if stage == "detection": + return block("", "Table", (0.2, 0.3, 0.8, 0.7)) + crop_started.set() + return block(tabular("A & 10", "B & 20"), "Table") + finally: + with lock: + active -= 1 + + with DocumentParser(backend=backend) as parser: + result = parser.parse_prepared( + parser.prepare([Image.new("RGB", (100, 100))]), + mode="triple", + concurrency=2, + postprocess_workers=1, + ) + assert peak == result.metrics["peak_inflight_requests"] == 2 + assert result.metrics["requests"] == {"fullpage": 1, "detection": 1, "crop": 1} + assert result.documents[0]["complete"] + + +@pytest.mark.parametrize("mode", ["single", "double", "triple"]) +@pytest.mark.parametrize("policy", ["union", "detector"]) +@pytest.mark.parametrize("merge_policy", ["alternatives", "guarded"]) +def test_pipelined_matches_staged_region_selection_and_merge( + mode, policy, merge_policy +): + def backend(image, *, stage, **kwargs): + if stage == "fullpage": + return block( + tabular("A & old", "B & 20"), "Table", (0.1, 0.1, 0.45, 0.45) + ) + block(tabular("C & 30", "D & 40"), "Table", (0.55, 0.55, 0.9, 0.9)) + if stage == "detection": + return block("", "Table", (0.1, 0.1, 0.45, 0.45)) + return block(tabular("A & new", "B & 20"), "Table") + + with DocumentParser(backend=backend, merge_policy=merge_policy) as parser: + prepared = parser.prepare([Image.new("RGB", (100, 100)) for _ in range(3)]) + runs = [ + parser.parse_prepared( + prepared, + mode=mode, + triple_regions=policy, + schedule=s, + concurrency=2, + postprocess_workers=1, + ) + for s in ["staged", "pipelined"] + ] + assert runs[0].metrics["requests"] == runs[1].metrics["requests"] + for a, b in zip(runs[0].documents, runs[1].documents): + assert a["markdown"] == b["markdown"] + assert a["blocks"] == b["blocks"] + assert a["inference"] == b["inference"] + for stage in ["fullpage", "detection", "crops"]: + + def clean(value): + if isinstance(value, list): + return [clean(v) for v in value] + return {k: v for k, v in value.items() if k != "latency_s"} + + if stage in a["stages"]: + assert clean(a["stages"][stage]) == clean(b["stages"][stage]) + + +def test_parse_many_default_can_feed_more_than_four_http_requests(): + import threading + + five_started = threading.Event() + lock = threading.Lock() + started = 0 + + def handle(request): + nonlocal started + with lock: + started += 1 + if started == 5: + five_started.set() + assert five_started.wait( + 5 + ), "HTTP batch default must admit more than four requests" + return httpx.Response( + 200, + json={ + "choices": [ + {"message": {"content": block("Text")}, "finish_reason": "stop"} + ] + }, + ) + + with httpx.Client(transport=httpx.MockTransport(handle)) as client: + with DocumentParser(client=client) as parser: + documents = parser.parse_many( + [Image.new("RGB", (20, 20)) for _ in range(5)] + ) + assert len(documents) == started == 5 + + +@pytest.mark.parametrize("schedule", ["staged", "pipelined"]) +def test_inference_clock_counts_crop_prep_and_excludes_final_render( + monkeypatch, schedule +): + from types import SimpleNamespace + from nemotron_parse import batch + + # One page makes the dependency chain deterministic without wall-clock sleeps. + clock = [1000.0] + monkeypatch.setattr(batch, "time", SimpleNamespace(perf_counter=lambda: clock[0])) + original_prep, original_finish = batch._crop_preparer, batch._finish + + def prepare(*args): + run = original_prep(*args) + + def delayed(*args): + clock[0] += 7.0 + return run(*args) + + return delayed + + def finish(task): + clock[0] += 100.0 + return original_finish(task) + + def backend(image, *, stage, **kwargs): + clock[0] += 3.0 + return block(tabular("A & 10", "B & 20"), "Table") + + monkeypatch.setattr(batch, "_crop_preparer", prepare) + monkeypatch.setattr(batch, "_finish", finish) + with DocumentParser(backend=backend) as parser: + prepared = parser.prepare([Image.new("RGB", (100, 100))]) + result = parser.parse_prepared( + prepared, + mode="double", + concurrency=1, + postprocess_workers=1, + schedule=schedule, + ) + assert result.metrics["inference_seconds"] == 13.0 # 3 + 7 + 3 + assert result.metrics["pipeline_seconds"] == 113.0 + assert result.metrics["inference_pages_per_second"] == pytest.approx(1 / 13) + assert result.metrics["complete_inference_pages_per_second"] == pytest.approx( + 1 / 13 + ) + + +def test_inference_clock_uses_wall_span_not_sum_of_overlapping_stages(): + from nemotron_parse.batch import _inference_timing + + assert ( + _inference_timing( + {"fullpage": (10, 20), "detection": (11, 19), "crop": (15, 23)} + )["inference_seconds"] + == 13 + ) diff --git a/tests/test_inference.py b/tests/test_inference.py new file mode 100644 index 0000000000000000000000000000000000000000..9dbb8d073a35f9116e7d726dc1c054ade46aae59 --- /dev/null +++ b/tests/test_inference.py @@ -0,0 +1,362 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +import base64 +import json +from io import BytesIO + +import httpx +from PIL import Image +import pytest + +from nemotron_parse.inference import ( + DocumentParser, + GenerationError, + GenerationSettings, + merge_crops, +) +from nemotron_parse import PostprocessOptions +from test_postprocessing import block, tabular + +OLD = tabular(r"\thead{Name} & \thead{Value}", "A & old") +NEW = tabular(r"\thead{Name} & \thead{Value}", "A & new") + + +def test_double_refines_table_and_keeps_text_order_and_geometry(): + calls = [] + + def backend(image, *, stage, **kwargs): + calls.append((stage, image.size)) + return { + "raw_out": ( + ( + block("Before", box=(0, 0, 1, 0.05)) + + block(OLD, "Table") + + block("After", box=(0, 0.95, 1, 1)) + ) + if stage == "fullpage" + else block(NEW, "Table", (0, 0, 1, 1)) + ), + "finish_reason": "stop", + } + + with DocumentParser( + backend=backend, crop_margin_px=0, crop_margin_ratio=0, merge_policy="guarded" + ) as parser: + doc = parser.parse_double(Image.new("RGB", (100, 200))) + assert [c[0] for c in calls] == ["fullpage", "crop"] + assert calls[1][1] == (80, 160) + assert doc["inference"]["requests"] == 2 + assert [b["class"] for b in doc["blocks"]] == ["Text", "Table", "Text"] + assert doc["blocks"][1]["bbox"] == [0.1, 0.1, 0.9, 0.9] + assert "new" in doc["markdown"] and "old" not in doc["markdown"] + assert "old" in doc["stages"]["fullpage"]["raw_out"] + + +def test_triple_detects_missing_table_and_maps_crop_coordinates(): + def backend(image, *, stage, **kwargs): + if stage == "fullpage": + return block("Before", box=(0, 0, 1, 0.05)) + if stage == "detection": + return block("", "Table", (0.2, 0.3, 0.8, 0.7)) + return block(NEW, "Table", (0, 0, 1, 1)) + + parser = DocumentParser(backend=backend, crop_margin_px=0, crop_margin_ratio=0) + doc = parser.parse_triple(Image.new("RGB", (100, 100))) + assert doc["inference"]["requests"] == 3 + assert doc["blocks"][1]["bbox"] == [0.2, 0.3, 0.8, 0.7] + assert "new" in doc["markdown"] + + +def test_union_adds_parser_regions_but_detector_only_does_not(): + def backend(image, *, stage, **kwargs): + if stage == "fullpage": + return block(OLD, "Table", (0.1, 0.1, 0.4, 0.4)) + if stage == "detection": + return block("", "Chart", (0.6, 0.6, 0.9, 0.9)) + return block("chart data", "Chart", (0, 0, 1, 1)) + + parser = DocumentParser(backend=backend, crop_margin_px=0, crop_margin_ratio=0) + image = Image.new("RGB", (100, 100)) + union = parser.parse_triple(image) + detector = parser.parse_triple(image, triple_regions="detector") + assert len(union["stages"]["crops"]) == 2 + assert len(detector["stages"]["crops"]) == 1 + + +def test_region_limit_applies_to_union(): + def backend(image, *, stage, **kwargs): + return ( + block("", "Table", (0.1, 0.1, 0.4, 0.4)) + if stage == "detection" + else block(OLD, "Table", (0.6, 0.6, 0.9, 0.9)) + ) + + parser = DocumentParser(backend=backend, max_regions=1) + assert ( + len(parser.parse_triple(Image.new("RGB", (100, 100)))["inference"]["regions"]) + == 1 + ) + + +def test_no_regions_does_not_make_crop_request(): + calls = [] + + def backend(image, *, stage, **kwargs): + calls.append(stage) + return block("hello") if stage == "fullpage" else "" + + parser = DocumentParser(backend=backend) + doc = parser.parse_triple(Image.new("RGB", (20, 20))) + assert calls == ["fullpage", "detection"] + assert doc["markdown"] == "hello" + + +@pytest.mark.parametrize("stage", ["fullpage", "detection", "crop"]) +@pytest.mark.parametrize( + "response", + [ + {"raw_out": "partial", "finish_reason": "length"}, + {"raw_out": ""}, + {"raw_out": "bad", "error": "failed"}, + ], +) +def test_failed_generations_are_not_reported_as_success(stage, response): + def backend(image, *, stage: str, **kwargs): + if stage == target: + return response + return block(OLD, "Table") + + target = stage + parser = DocumentParser(backend=backend) + with pytest.raises(GenerationError) as error: + parser.parse_triple(Image.new("RGB", (100, 100))) + assert error.value.stage == stage + assert error.value.response["raw_out"] == response["raw_out"] + + +def test_guard_rejects_incompatible_column_count(): + wrong = tabular( + r"\thead{Name} & \thead{Value} & \thead{Extra}", "A & new & extra", cols="ccc" + ) + row = { + "raw_out": block(wrong, "Table", (0, 0, 1, 1)), + "detector_label": "table", + "detector_score": 1.0, + "detector_bbox_norm": (0.1, 0.1, 0.9, 0.9), + "crop_bbox_pixels": (10, 10, 90, 90), + "page_size": (100, 100), + } + merged = merge_crops(block(OLD, "Table"), [row], policy="guarded") + assert "old" in merged and "extra" not in merged + + +def test_batch_preserves_order(tmp_path): + paths = [] + for width in [10, 20, 30]: + path = tmp_path / f"{width}.png" + Image.new("RGB", (width, 10)).save(path) + paths.append(path) + parser = DocumentParser(backend=lambda image, **kwargs: block(str(image.width))) + docs = parser.parse_many(paths, concurrency=3) + assert [d["markdown"] for d in docs] == ["10", "20", "30"] + + +def test_http_endpoint_protocol_auth_and_stage_settings(): + calls = [] + + def handle(request): + body = json.loads(request.content) + calls.append(body) + assert request.headers["Authorization"] == "Bearer test-key" + assert str(request.url) == "http://example/v1/chat/completions" + assert body["skip_special_tokens"] is False + uri = body["messages"][0]["content"][1]["image_url"]["url"] + image = Image.open(BytesIO(base64.b64decode(uri.split(",")[1]))) + assert image.mode == "RGB" + prompt = body["messages"][0]["content"][0]["text"] + raw = block("", "Table") if "output_no_text" in prompt else block(OLD, "Table") + return httpx.Response( + 200, + json={ + "choices": [{"message": {"content": raw}, "finish_reason": "stop"}], + "usage": {"completion_tokens": 10}, + }, + ) + + client = httpx.Client(transport=httpx.MockTransport(handle)) + with DocumentParser( + "http://example/v1/", api_key="test-key", client=client + ) as parser: + doc = parser.parse_triple(Image.new("RGB", (100, 100))) + assert [x["max_tokens"] for x in calls] == [8744, 4096, 8744] + assert [x["temperature"] for x in calls] == [0.2, 0.2, 0.1] + assert doc["stages"]["fullpage"]["usage"]["completion_tokens"] == 10 + assert not client.is_closed + client.close() + + +@pytest.mark.parametrize("mode", ["bad", "all"]) +def test_invalid_mode_does_not_issue_request(mode): + parser = DocumentParser(backend=lambda *a, **k: pytest.fail("unexpected inference")) + with pytest.raises(ValueError): + parser.parse(Image.new("RGB", (10, 10)), mode=mode) + + +def test_generation_options_validate_limits(): + with pytest.raises(ValueError): + GenerationSettings(max_tokens=0) + with pytest.raises(ValueError): + GenerationSettings(temperature=float("nan")) + with pytest.raises(ValueError): + DocumentParser(backend=lambda **k: "", max_regions=0) + + +def test_transformers_backend_cpu_settings_rng_and_truncation(): + import torch + from types import SimpleNamespace + from nemotron_parse.inference import TransformersBackend + + class Inputs(dict): + def to(self, device): + return self + + class Processor: + def __call__(self, **kwargs): + assert kwargs["add_special_tokens"] is False + return Inputs(input_ids=torch.tensor([[4, 5]])) + + def batch_decode(self, sequences, **kwargs): + assert kwargs["skip_special_tokens"] is False + return [block("hello")] + + class Model: + device = "cpu" + generation_config = SimpleNamespace(max_new_tokens=999) + + def generate(self, **kwargs): + config = kwargs["generation_config"] + assert config.do_sample is False and config.max_new_tokens == 3 + torch.rand(1) + return SimpleNamespace(sequences=torch.tensor([[4, 5, 7, 2]])) + + model = Model() + backend = TransformersBackend(model, Processor()) + before = torch.random.get_rng_state().clone() + response = backend( + Image.new("RGB", (10, 10)), + prompt="test", + stage="fullpage", + settings=GenerationSettings(temperature=0, max_tokens=3), + ) + assert response["usage"]["completion_tokens"] == 2 + assert response["finish_reason"] == "stop" + assert torch.equal(before, torch.random.get_rng_state()) + assert model.generation_config.max_new_tokens == 999 + + class Capped(Model): + def generate(self, **kwargs): + return SimpleNamespace(sequences=torch.tensor([[4, 5, 7, 8, 2]])) + + backend = TransformersBackend(Capped(), Processor()) + parser = DocumentParser( + backend=backend, fullpage=GenerationSettings(temperature=0, max_tokens=3) + ) + with pytest.raises(GenerationError): + parser.parse(Image.new("RGB", (10, 10))) + + +def test_chart_crop_refinement_is_guarded(): + original = "\ntitle: Sales\n| Item | Value |\n| --- | --- |\n| A | 10 |\n| B | 20 |\n" + updated = original.replace("10", "11") + row = { + "raw_out": block(updated, "Chart", (0, 0, 1, 1)), + "detector_label": "chart", + "detector_score": 1.0, + "detector_bbox_norm": (0.1, 0.1, 0.9, 0.9), + "crop_bbox_pixels": (10, 10, 90, 90), + "page_size": (100, 100), + } + merged = merge_crops(block(original, "Chart"), [row], policy="guarded") + assert merged.count("") == 1 and "| A | 11 |" in merged + row["raw_out"] = block(updated.replace("", ""), "Chart", (0, 0, 1, 1)) + merged = merge_crops(block(original, "Chart"), [row], policy="guarded") + assert "| A | 10 |" in merged and merged.count("") == 1 + + +def test_cli_writes_markdown_and_stage_json(tmp_path, monkeypatch, capsys): + from nemotron_parse import inference + + image = tmp_path / "page.png" + Image.new("RGB", (20, 20)).save(image) + output = tmp_path / "results" + original = inference.DocumentParser + monkeypatch.setattr( + inference, + "DocumentParser", + lambda *a, **k: original( + backend=lambda image, **kw: block("CLI text"), options=k.get("options") + ), + ) + monkeypatch.setattr( + "sys.argv", + [ + "nemotron-parse", + "--image", + str(image), + "--mode", + "double", + "--write-page-files", + "--output", + str(output), + ], + ) + inference.main() + assert (output / "0000_page.md").read_text() == "CLI text" + saved = json.loads((output / "0000_page.json").read_text()) + assert saved["inference"]["mode"] == "double" + assert saved["stages"]["fullpage"]["raw_out"] == block("CLI text") + with pytest.raises(SystemExit): + inference.main() + + +def test_default_merge_retains_disagreeing_chart_alternatives(): + original = "\n| Category | Value |\n| --- | --- |\n| Apples | 10 |\n| Pears | 20 |\n" + alternate = "\n| Category | Value |\n| --- | --- |\n| Apples | 15 |\n| Pears | 25 |\n" + row = { + "raw_out": block(alternate, "Chart", (0, 0, 1, 1)), + "detector_label": "chart", + "detector_score": 1.0, + "detector_bbox_norm": (0.1, 0.1, 0.9, 0.9), + "crop_bbox_pixels": (10, 10, 90, 90), + "page_size": (100, 100), + } + result = merge_crops(block(original, "Chart"), [row]) + assert original in result and alternate in result + assert result.count("") == 2 + + +def test_default_merge_deduplicates_matching_chart_alternatives(): + original = "\n| Category | Value |\n| --- | --- |\n| Apples | 10 |\n| Pears | 20 |\n" + row = { + "raw_out": block(original, "Chart", (0, 0, 1, 1)), + "detector_label": "chart", + "detector_score": 1.0, + "detector_bbox_norm": (0.1, 0.1, 0.9, 0.9), + "crop_bbox_pixels": (10, 10, 90, 90), + "page_size": (100, 100), + } + assert merge_crops(block(original, "Chart"), [row]).count("") == 1 + + +def test_merge_policy_default_and_invalid_policy(): + with DocumentParser(backend=lambda image, **kw: block("Text")) as parser: + assert parser.merge_policy == "alternatives" + assert ( + parser.parse(Image.new("RGB", (20, 20)))["inference"]["merge_policy"] + == "alternatives" + ) + with pytest.raises(ValueError, match="merge_policy"): + DocumentParser( + backend=lambda image, **kw: block("Text"), merge_policy="unknown" + ) diff --git a/tests/test_postprocessing.py b/tests/test_postprocessing.py new file mode 100644 index 0000000000000000000000000000000000000000..e93aaaaad83aa2f4aa80f45adef97502bff0f200 --- /dev/null +++ b/tests/test_postprocessing.py @@ -0,0 +1,278 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +import csv +import io +import json + +from bs4 import BeautifulSoup +import pytest + +from nemotron_parse import PostprocessOptions, postprocess_document, render_markdown +from nemotron_parse.postprocessing import ( + extract_classes_bboxes, + transform_bbox_to_original, + postprocess_text, + convert_mmd_to_plain_text_ours, +) +from nemotron_parse import tables + + +def block(text, cls="Text", box=(0.1, 0.1, 0.9, 0.9)): + return f"{text}" + + +def tabular(*rows, cols="cc"): + return ( + "\\begin{tabular}{" + + cols + + "}\n" + + "\n".join(row + r" \\" for row in rows) + + "\n\\end{tabular}" + ) + + +def test_multiline_cell_and_trailing_empty_preserved(): + text = tabular(r"\thead{Name} & \thead{Note}", r"A & first\newline second", "B & ") + html = postprocess_text(text, "Table", table_format="HTML") + soup = BeautifulSoup(html, "html.parser") + rows = soup.find_all("tr") + assert len(rows) == 3 + assert [len(row.find_all(["th", "td"])) for row in rows] == [2, 2, 2] + assert rows[1].find_all("td")[1].find("br") + assert rows[2].find_all("td")[1].get_text() == "" + + +def test_rich_inline_and_literal_escapes(): + raw = tabular( + r"\thead{Item} & \thead{Note}", + r"A & \textstrong{Bold} \textsuperscript{2} \# \textasciitilde{} \textasciicircum{}", + ) + html = postprocess_text(raw, "Table", table_format="HTML") + assert "Bold" in html and "2" in html + assert "# ~ ^" in html + assert r"\thead" not in html + + +def test_data_rows_not_promoted_to_headers(): + raw = tabular("A & 10", "B & 20") + html = postprocess_text(raw, "Table", table_format="HTML") + assert "" + n + "" for n in names) + "" + values = list(map(str, range(len(names)))) + html += "".join("" for v in values) + "
" + v + "
" + record = json.loads(tables.convert_html_table_to_json(html))[0] + assert len(record) == len(names) + assert list(record.values()) == values + + +def test_csv_and_markdown_keep_headerless_first_row(): + raw = tabular("A & 10", "B & 20") + rows = list( + csv.reader(io.StringIO(postprocess_text(raw, "Table", table_format="csv"))) + ) + assert rows == [["column_0", "column_1"], ["A", "10"], ["B", "20"]] + md = postprocess_text(raw, "Table", table_format="markdown") + assert "| A | 10 |" in md and "| B | 20 |" in md + + +@pytest.mark.parametrize( + "source, expected", + [ + ("2 and i", "^{2} and _{i}"), + ("C# developer", "C# developer"), + ("x * y * z", "x * y * z"), + ("# Heading\nC# developer", "Heading\nC# developer"), + ("`C# **code**` and $x_1 * y$", "`C# **code**` and $x_1 * y$"), + ], +) +def test_plain_text(source, expected): + assert convert_mmd_to_plain_text_ours(source) == expected + + +def test_prefix_repair_and_exact_duplicate_cleanup(): + raw = "" + block("Hello") * 2 + result = postprocess_document(raw) + assert result["markdown"] == "Hello" and len(result["blocks"]) == 1 + assert "" not in result["blocks"][0]["text"] + + +def test_distinct_coordinates_or_code_whitespace_not_deduplicated(): + raw = block("Hello") + block("Hello", box=(0.1, 0.2, 0.9, 1.0)) + assert len(postprocess_document(raw)["blocks"]) == 2 + raw = block("a b", "Code") + block("a b", "Code") + assert len(postprocess_document(raw)["blocks"]) == 2 + + +def test_page_number_and_formula_preserved(): + result = postprocess_document( + block("1", "Page-number") + block("$a+b$", "Inline-formula") + ) + assert [b["class"] for b in result["blocks"]] == ["Page-number", "Inline-formula"] + assert "1" in result["markdown"] and "$a+b$" in result["markdown"] + + +def test_text_cleanup_protects_code_and_math(): + assert postprocess_text("inter\u00adnational") == "international" + assert postprocess_text("• item", "List-item") == "- item" + assert postprocess_text("a\u00adb", "Code") == "a\u00adb" + assert postprocess_text("$a\u00adb$") == "$a\u00adb$" + + +@pytest.mark.parametrize( + "box", [(float("nan"), 0, 1, 1), (0, 0, float("inf"), 1), (0, 0, 1)] +) +def test_invalid_boxes_rejected(box): + with pytest.raises(ValueError): + transform_bbox_to_original(box, 100, 100) + + +def test_reversed_and_clipped_boxes(): + assert transform_bbox_to_original((0.9, 1.2, -0.1, 0.2), 100, 200) == ( + 0.0, + 40.0, + 90.0, + 200.0, + ) + + +def test_chart_presentation_controls(): + chart = "\ntitle: Sales\nsubtitle: FY2026\n| Item | Revenue |\n| --- | --- |\n| A | 32 (16.6%) |\n| B | 48 (25%) |\n" + raw = block(chart, "Chart") + ordinary = render_markdown( + raw, options=PostprocessOptions(split_chart_value_percent=False) + ) + assert "Sales — FY2026" in ordinary and "32 (16.6%)" in ordinary + assert ">Percent<" not in ordinary + split = render_markdown( + raw, options=PostprocessOptions(split_chart_value_percent=True) + ) + assert ">Percent<" in split and "32" in split and "16.6%" in split + assert ( + render_markdown(raw, options=PostprocessOptions(render_charts=False)) == chart + ) + + +def test_empty_chart_title_does_not_consume_metadata(): + chart = ( + "\ntitle:\nsubtitle: Keep\n| A | B |\n| --- | --- |\n| x | 1 |\n" + ) + assert "subtitle: Keep" in render_markdown(block(chart, "Chart")) + + +def test_headings_and_original_text_exposed(): + document = postprocess_document( + block("Title", "Title") + block("Section", "Section-header"), + image_size=(100, 200), + ) + assert document["markdown"] == "# Title\n\n## Section" + assert document["blocks"][0]["text"] == "Title" + assert document["blocks"][0]["bbox_pixels"] == [10.0, 20.0, 90.0, 180.0] + + +def test_existing_top_level_imports(): + import postprocessing + import latex2html + + assert postprocessing.postprocess_text("text") == "text" + assert callable(latex2html.convert_html_table_to_json_hierarchical) + + +def test_unknown_class_is_not_dropped(): + assert render_markdown(block("Future content", "Future-role")) == "Future content" + + +def test_presentation_caption_relocation_is_opt_in(): + raw = block("Sales figure", "Caption", (0.1, 0.05, 0.9, 0.09)) + block( + "\n| Item | Value |\n| --- | --- |\n| A | 1 |\n", + "Chart", + (0.1, 0.1, 0.9, 0.9), + ) + default = render_markdown( + raw, options=PostprocessOptions(relocate_chart_captions=False) + ) + assert default.startswith("Sales figure\n\n") + moved = render_markdown( + raw, options=PostprocessOptions(relocate_chart_captions=True) + ) + assert "Sales figure" in moved + assert moved.count("Sales figure") == 1 + + +def test_body_spans_exposed_in_hierarchical_json(): + html = ( + '
AB
Both
' + ) + obj = json.loads(tables.convert_html_table_to_json_hierarchical(html)) + assert obj["body_cells"][0][0]["colspan"] == 2 + assert obj["data"] == [["Both"]] + + +def test_malformed_table_is_preserved_instead_of_lossy_fallback(): + raw = tabular(r"\multirow{2}{*}{\thead{missing brace} & x", " & y") + result = render_markdown(block(raw, "Table")) + assert raw in result + + +def test_document_preserves_malformed_table_and_reports_warning(): + raw = tabular(r"\multirow{2}{*}{\thead{missing brace} & x", " & y") + document = postprocess_document(block(raw, "Table")) + assert document["blocks"][0]["content"] == raw + assert document["warnings"][0]["block_index"] == 0 + + +@pytest.mark.parametrize("role", ["Code", "Formula"]) +def test_literal_tabular_in_code_or_formula_is_not_converted(role): + text = tabular("A & 10", "B & 20") + assert render_markdown(block(text, role)) == text + + +def test_prose_discussing_tabular_is_not_reinterpreted_as_table(): + text = "The LaTeX example uses " + tabular("A & 10", "B & 20") + " in its source." + assert render_markdown(block(text, "Text")) == text diff --git a/thrisul_config.json b/thrisul_config.json new file mode 100644 index 0000000000000000000000000000000000000000..1cc524a88ce764f5431bd7537c0f0308043dc33f --- /dev/null +++ b/thrisul_config.json @@ -0,0 +1,31 @@ +{ + "base_model": "nvidia/Nemotron-3.5-Parse", + "base_revision": "62cb1e4ba153d113ff64aaf2be6e068c377cf53c", + "pipeline_version": "0.1.0", + "router_features": [ + "ent_mean", + "ent_p90", + "ent_max", + "ent_frac_hi", + "ent_top5", + "ent_win_max", + "n_tokens", + "hit_max", + "rep4", + "is_chart", + "parse_ok", + "n_rows", + "n_cols", + "empty_ratio", + "numeric_ratio", + "has_span", + "rect_ok" + ], + "router_tau": 0.038593222714288306, + "task_prompt": "", + "lora": { + "r": 16, + "alpha": 32, + "n_matrices": 60 + } +} \ No newline at end of file diff --git a/thrisul_pipeline.py b/thrisul_pipeline.py new file mode 100644 index 0000000000000000000000000000000000000000..94e2c4b9a534d9236b1036cbfcd0afcdb21f6905 --- /dev/null +++ b/thrisul_pipeline.py @@ -0,0 +1,812 @@ +"""thrisul_pipeline - shared code for Thrisul-Parser. + +Used by the training notebook AND shipped with the released model, so what is tested is what is released. +Torch / transformers are imported lazily inside functions, so the metric, feature and synthetic-data code +can be unit-tested on a CPU box. + +Idea (A+B): run the parser once, score every table/chart region with a cheap verifier +(decoder token uncertainty + structure sanity + render-vs-crop encoder similarity), and re-decode only the +regions the verifier says will gain from a native-resolution second look. +""" +from __future__ import annotations + +import io +import math +import os +import random +import re + +import numpy as np + +__version__ = "0.1.0" + +TASK_PROMPT = "" + +# ---------------------------------------------------------------------------------------------- +# A. table parsing / metrics +# ---------------------------------------------------------------------------------------------- +_TABLE_RE = re.compile(r"", re.S | re.I) + + +def _esc(s): + return (s or "").replace("&", "&").replace("<", "<").replace(">", ">") + + +def _int(x, d=1): + try: + return max(1, int(x)) + except Exception: + return d + + +def _pipe_tables(md): + blocks, cur = [], [] + for ln in (md or "").splitlines(): + if ln.strip().startswith("|"): + cur.append(ln.strip()) + else: + if len(cur) >= 2: + blocks.append(cur) + cur = [] + if len(cur) >= 2: + blocks.append(cur) + sep = re.compile(r"^\|?\s*:?-{2,}:?\s*(\|\s*:?-{2,}:?\s*)*\|?$") + out = [] + for blk in blocks: + rows = [[c.strip() for c in r.strip("|").split("|")] for r in blk if not sep.match(r)] + if rows: + out.append("" + "".join( + "" + "".join("" % _esc(c) for c in r) + "" for r in rows) + "
%s
") + return out + + +def extract_tables(md): + """HTML tables found in markdown (html first, then pipe tables converted to html).""" + return _TABLE_RE.findall(md or "") + _pipe_tables(re.sub(_TABLE_RE, "", md or "")) + + +def parse_table(html): + """-> list of rows; each row a list of (text, colspan, rowspan, is_header). None if unparsable.""" + try: + from lxml import html as LH + root = LH.fragment_fromstring(html, create_parent="div") + except Exception: + return None + t = root.find(".//table") + if t is None: + return None + rows = [] + for tr in t.iter("tr"): + cells = [] + for td in tr: + if td.tag in ("td", "th"): + txt = " ".join("".join(td.itertext()).split()) + cells.append((txt, _int(td.get("colspan")), _int(td.get("rowspan")), td.tag == "th")) + rows.append(cells) + return [r for r in rows if r] or None + + +def expand_grid(rows): + """span-expanded grid of anchor texts (spanned positions are empty strings).""" + grid, maxc = {}, 0 + for r, cells in enumerate(rows): + c = 0 + for (txt, cs, rs, _h) in cells: + while (r, c) in grid: + c += 1 + for dr in range(rs): + for dc in range(cs): + grid[(r + dr, c + dc)] = txt if (dr == 0 and dc == 0) else "" + c += cs + maxc = max(maxc, c) + nr = max([k[0] for k in grid] + [-1]) + 1 + return [[grid.get((r, c), "") for c in range(maxc)] for r in range(nr)] + + +def rows_to_html(rows): + out = [""] + for r in rows: + out.append("") + for (txt, cs, rs, h) in r: + tag = "th" if h else "td" + a = (' colspan="%d"' % cs if cs > 1 else "") + (' rowspan="%d"' % rs if rs > 1 else "") + out.append("<%s%s>%s" % (tag, a, _esc(txt), tag)) + out.append("") + out.append("
") + return "".join(out) + + +def _norm(s): + return " ".join((s or "").lower().split()) + + +def _nld(a, b): + from rapidfuzz.distance import Levenshtein as L + a, b = _norm(a), _norm(b) + if not a and not b: + return 0.0 + return L.normalized_distance(a, b) + + +def grid_sim(ga, gb): + ra, rb = len(ga), len(gb) + ca = len(ga[0]) if ga else 0 + cb = len(gb[0]) if gb else 0 + tot = max(ra * ca, rb * cb) + if tot == 0: + return 0.0 + s = 0.0 + for r in range(min(ra, rb)): + for c in range(min(ca, cb)): + s += 1.0 - _nld(ga[r][c], gb[r][c]) + return s / tot + + +class _Node: + __slots__ = ("tag", "cs", "rs", "text", "children") + + def __init__(self, tag, cs=1, rs=1, text="", children=None): + self.tag, self.cs, self.rs, self.text, self.children = tag, cs, rs, text, children or [] + + +def _tree(rows): + return _Node("table", children=[ + _Node("tr", children=[_Node("td", cs, rs, txt) for (txt, cs, rs, _h) in r]) for r in rows]) + + +def _count(n): + return 1 + sum(_count(c) for c in n.children) + + +def teds(rows_a, rows_b): + """Tree-edit-distance based table similarity (PubTabNet-style TEDS), 1.0 = identical.""" + from apted import APTED, Config + + class Cfg(Config): + def rename(self, a, b): + if a.tag != b.tag or a.cs != b.cs or a.rs != b.rs: + return 1.0 + if a.tag == "td": + return _nld(a.text, b.text) + return 0.0 + + def children(self, node): + return node.children + + ta, tb = _tree(rows_a), _tree(rows_b) + d = APTED(ta, tb, Cfg()).compute_edit_distance() + return max(0.0, 1.0 - d / max(_count(ta), _count(tb))) + + +def table_sim(pred_html, gt_html, cap=450): + a, b = parse_table(pred_html), parse_table(gt_html) + if not a or not b: + return 0.0 + na = sum(len(r) for r in a) + len(a) + nb = sum(len(r) for r in b) + len(b) + if max(na, nb) <= cap: + return teds(a, b) + return grid_sim(expand_grid(a), expand_grid(b)) + + +def best_table_score(md, gt_html): + tabs = extract_tables(md) + return max([table_sim(t, gt_html) for t in tabs] + [0.0]) + + +def to_num(s): + t = (s or "").strip().replace(",", "") + for ch in "$\u20ac\u00a3\u20b9": + t = t.replace(ch, "") + neg = t.startswith("(") and t.endswith(")") + t = t.strip("()%").strip() + try: + v = float(t) + return -v if neg else v + except Exception: + return None + + +def _cells_of(md): + cells = [] + for h in extract_tables(md): + for r in (parse_table(h) or []): + cells += [c[0] for c in r] + if not cells: + cells = [c for c in re.split(r"[\s|;]+", md or "") if c] + return cells + + +def chart_score(pred_md, gt_rows, tol=0.01): + """0..1: number-set F1 (relative tolerance `tol`) blended with label recall.""" + from rapidfuzz import fuzz + gt_cells = [c for r in gt_rows for c in r] + gnum = [v for v in map(to_num, gt_cells) if v is not None] + gtxt = [c for c in gt_cells if to_num(c) is None and c.strip()] + pc = _cells_of(pred_md) + pnum = [v for v in map(to_num, pc) if v is not None] + ptxt = [c for c in pc if to_num(c) is None and c.strip()] + used, hit = [False] * len(pnum), 0 + for g in gnum: + lim = tol * abs(g) + 1e-6 + for j, p in enumerate(pnum): + if not used[j] and abs(p - g) <= lim: + used[j] = True + hit += 1 + break + prec = hit / len(pnum) if pnum else 0.0 + rec = hit / len(gnum) if gnum else 0.0 + f1 = 2 * prec * rec / (prec + rec) if prec + rec > 0 else 0.0 + lab = sum(1 for g in gtxt if any(fuzz.ratio(g.lower(), p.lower()) >= 85 for p in ptxt)) + lr = lab / len(gtxt) if gtxt else 1.0 + return 0.7 * f1 + 0.3 * lr + + +def replace_nth_table(md, n, new_html): + out, last, k = [], 0, 0 + for m in _TABLE_RE.finditer(md): + if k == n: + out.append(md[last:m.start()]) + out.append(new_html) + last = m.end() + break + k += 1 + out.append(md[last:]) + return "".join(out) + + +# ---------------------------------------------------------------------------------------------- +# B. verifier features +# ---------------------------------------------------------------------------------------------- +ENTROPY_F = ["ent_mean", "ent_p90", "ent_max", "ent_frac_hi", "ent_top5", "ent_win_max", "n_tokens", "hit_max", "rep4"] +STRUCT_F = ["is_chart", "parse_ok", "n_rows", "n_cols", "empty_ratio", "numeric_ratio", "has_span", "rect_ok"] +RENDER_F = ["encoder_sim"] +FEATURES = ENTROPY_F + STRUCT_F + RENDER_F +GROUPS = {"entropy": ENTROPY_F, "structure": STRUCT_F, "render": RENDER_F, "all": FEATURES} + + +def rep_ratio(ids, n=4): + ids = list(ids) + if len(ids) < n + 1: + return 0.0 + grams = [tuple(ids[i:i + n]) for i in range(len(ids) - n + 1)] + return 1.0 - len(set(grams)) / len(grams) + + +def entropy_feats(ent): + a = np.asarray(ent, dtype=float) + if a.size == 0: + return {k: float("nan") for k in ENTROPY_F} + w = min(16, a.size) + win = np.convolve(a, np.ones(w) / w, mode="valid") + return dict(ent_mean=a.mean(), ent_p90=float(np.percentile(a, 90)), ent_max=a.max(), + ent_frac_hi=float((a > 1.0).mean()), ent_top5=float(np.sort(a)[-5:].mean()), + ent_win_max=float(win.max()), n_tokens=float(a.size)) + + +def struct_feats(html, is_chart): + f = dict(is_chart=float(bool(is_chart)), parse_ok=0.0, n_rows=float("nan"), n_cols=float("nan"), + empty_ratio=float("nan"), numeric_ratio=float("nan"), has_span=float("nan"), rect_ok=float("nan")) + rows = parse_table(html) if html else None + if not rows: + return f + g = expand_grid(rows) + flat = [c for r in g for c in r] + nonempty = [c for c in flat if c.strip()] + widths = {sum(c[1] for c in r) for r in rows} + f.update(parse_ok=1.0, n_rows=float(len(g)), n_cols=float(len(g[0]) if g else 0), + empty_ratio=1.0 - len(nonempty) / max(1, len(flat)), + numeric_ratio=sum(1 for c in nonempty if to_num(c) is not None) / max(1, len(nonempty)), + has_span=float(any(c[1] > 1 or c[2] > 1 for r in rows for c in r)), + rect_ok=float(len(widths) == 1)) + return f + + +def region_features(ent, ids, html, is_chart, hit_max, enc_sim=None): + f = entropy_feats(ent) + f["hit_max"] = float(bool(hit_max)) + f["rep4"] = rep_ratio(ids) + f.update(struct_feats(html, is_chart)) + f["encoder_sim"] = float("nan") if enc_sim is None else float(enc_sim) + return f + + +class Router: + """Predicts the score gain from re-decoding a region at native resolution.""" + + def __init__(self, names=None): + self.names = list(names or FEATURES) + self.model = None + self.tau = float("inf") + + def X(self, rows): + return np.array([[float(r.get(n, float("nan"))) if r.get(n) is not None else float("nan") + for n in self.names] for r in rows], dtype=float) + + def fit(self, rows, gains): + from sklearn.ensemble import HistGradientBoostingRegressor + leaf = 5 if len(rows) >= 40 else 1 + self.model = HistGradientBoostingRegressor(max_depth=3, learning_rate=0.08, max_iter=200, + min_samples_leaf=leaf, l2_regularization=1.0, random_state=0) + self.model.fit(self.X(rows), np.asarray(gains, dtype=float)) + return self + + def predict(self, rows): + return self.model.predict(self.X(rows)) + + def save(self, path): + import joblib + joblib.dump(dict(names=self.names, model=self.model, tau=self.tau), path) + + @staticmethod + def load(path): + import joblib + d = joblib.load(path) + r = Router(d["names"]) + r.model, r.tau = d["model"], d["tau"] + return r + + +def choose_tau(pred, gain, capture=0.9): + """Smallest refine fraction whose realised gain reaches `capture` of the positive-gain total.""" + pred, gain = np.asarray(pred, float), np.asarray(gain, float) + total = float(np.clip(gain, 0, None).sum()) + if total <= 0: + return float("inf"), 0.0 + order = np.argsort(-pred) + cum = np.cumsum(gain[order]) + ok = np.where(cum >= capture * total)[0] + k = int(ok[0]) + 1 if len(ok) else len(pred) + return float(pred[order][k - 1]), k / len(pred) + + +def gain_curve(pred, gain): + """fraction of samples refined (by predicted rank) -> cumulative realised gain / refine-all gain.""" + pred, gain = np.asarray(pred, float), np.asarray(gain, float) + order = np.argsort(-pred) + cum = np.concatenate([[0.0], np.cumsum(gain[order])]) + denom = gain.sum() if abs(gain.sum()) > 1e-9 else 1.0 + return np.arange(len(pred) + 1) / max(1, len(pred)), cum / denom + + +# ---------------------------------------------------------------------------------------------- +# C. synthetic data (exact ground truth, no dataset schema risk) + rendering +# ---------------------------------------------------------------------------------------------- +_WORDS = ("revenue cost margin growth quarter region total net income assets debt cash equity sales units price " + "volume rate index yield loss profit tax fees interest segment product service europe asia americas " + "africa north south east west retail online wholesale").split() + + +def _font(size): + from PIL import ImageFont + try: + import matplotlib + p = os.path.join(matplotlib.get_data_path(), "fonts", "ttf", "DejaVuSans.ttf") + return ImageFont.truetype(p, size) + except Exception: + return ImageFont.load_default() + + +def _anchors(rows): + occ, out = set(), [] + for r, cells in enumerate(rows): + c = 0 + for (txt, cs, rs, h) in cells: + while (r, c) in occ: + c += 1 + for dr in range(rs): + for dc in range(cs): + occ.add((r + dr, c + dc)) + out.append((r, c, cs, rs, txt, h)) + c += cs + nc = max([a[1] + a[2] for a in out] + [1]) + nr = max([a[0] + a[3] for a in out] + [1]) + return out, nr, nc + + +def render_rows(rows, fs=18, style="grid", pad=8, shade=True): + from PIL import Image, ImageDraw + font = _font(fs) + anchors, nr, nc = _anchors(rows) + meas = ImageDraw.Draw(Image.new("RGB", (10, 10))) + + def tw(t): + return meas.textlength(t, font=font) if t else 0.0 + + colw = [fs * 2.0] * nc + for (r, c, cs, rs, t, h) in anchors: + if cs == 1: + colw[c] = max(colw[c], tw(t) + 2 * pad) + for (r, c, cs, rs, t, h) in anchors: + if cs > 1: + need, have = tw(t) + 2 * pad, sum(colw[c:c + cs]) + if need > have: + colw[c + cs - 1] += need - have + xs, ys = [0.0], [0.0] + for w in colw: + xs.append(xs[-1] + w) + for _ in range(nr): + ys.append(ys[-1] + fs + 2 * pad) + m = 20 + img = Image.new("RGB", (int(xs[-1]) + 2 * m, int(ys[-1]) + 2 * m), "white") + d = ImageDraw.Draw(img) + for (r, c, cs, rs, t, h) in anchors: + x0, x1, y0, y1 = m + xs[c], m + xs[c + cs], m + ys[r], m + ys[r + rs] + if h and shade: + d.rectangle([x0, y0, x1, y1], fill=(232, 236, 242)) + if style == "grid": + d.rectangle([x0, y0, x1, y1], outline="black", width=1) + else: + d.line([x0, y1, x1, y1], fill="black", width=1) + tx = x1 - pad - tw(t) if to_num(t) is not None else x0 + pad + d.text((tx, y0 + pad), t, fill="black", font=font) + if style != "grid": + d.line([m, m, m + xs[-1], m], fill="black", width=2) + return img + + +def render_table_image(html, fs=18): + rows = parse_table(html) + if not rows: + raise ValueError("unparsable table") + return render_rows(rows, fs=fs) + + +def make_table(seed): + rng = random.Random(seed) + nc, nr = rng.randint(2, 7), rng.randint(3, 12) + types = ["text"] + [rng.choice(["num", "money", "pct", "num", "paren"]) for _ in range(nc - 1)] + + def val(t): + if t == "num": + return "{:,}".format(rng.randint(1, 99999)) if rng.random() < .5 else "%.1f" % rng.uniform(0, 999) + if t == "money": + return "$%s.%02d" % ("{:,}".format(rng.randint(1, 9999)), rng.randint(0, 99)) + if t == "pct": + return "%.1f%%" % rng.uniform(0, 100) + if t == "paren": + v = "{:,}".format(rng.randint(1, 9999)) + return "(%s)" % v if rng.random() < .3 else v + return " ".join(rng.sample(_WORDS, rng.randint(1, 2))).title() + + heads = [" ".join(rng.sample(_WORDS, rng.randint(1, 2))).title() for _ in range(nc)] + if nc >= 4 and rng.random() < .3: + spans, c = [], 1 + while c < nc: + s = min(rng.randint(2, 3), nc - c) + spans.append(s) + c += s + top = [("", 1, 2, True)] + [(rng.choice(_WORDS).title(), s, 1, True) for s in spans] + sub = [(heads[j], 1, 1, True) for j in range(1, nc)] + rows = [top, sub] + else: + rows = [[(h, 1, 1, True) for h in heads]] + i, group = 0, rng.random() < .25 + while i < nr: + if group and nr - i >= 2: + g = min(rng.randint(2, 3), nr - i) + lab = val("text") + for k in range(g): + cells = [(lab, 1, g, False)] if k == 0 else [] + cells += [(val(types[j]), 1, 1, False) for j in range(1, nc)] + rows.append(cells) + i += g + else: + rows.append([(val(types[j]), 1, 1, False) for j in range(nc)]) + i += 1 + img = render_rows(rows, fs=rng.choice([16, 18, 20, 24]), style=rng.choice(["grid", "grid", "rules"])) + return dict(img=img, gt_html=rows_to_html(rows), gt_rows=expand_grid(rows), kind="table", tol=0.0) + + +def make_chart(seed): + import matplotlib + matplotlib.use("Agg") + import matplotlib.pyplot as plt + from PIL import Image + rng = random.Random(seed) + kind = rng.choice(["bar", "hbar", "line", "pie", "stack"]) + ncat = rng.randint(3, 7) + mode = rng.randint(0, 2) + cats = ([str(2015 + i) for i in range(ncat)] if mode == 0 else + ["Q%d %d" % (i % 4 + 1, 2020 + i // 4) for i in range(ncat)] if mode == 1 else + [w.title() for w in rng.sample(_WORDS, ncat)]) + nser = 1 if kind == "pie" else rng.randint(1, 3) + scale, dec = rng.choice([10, 100, 1000, 5000]), rng.choice([0, 0, 1]) + data = [[round(rng.uniform(.1, 1) * scale, 1) if dec else int(rng.uniform(.1, 1) * scale) + 1 for _ in cats] + for _ in range(nser)] + names = [w.title() for w in rng.sample(_WORDS, nser)] + labeled = True if kind == "pie" else rng.random() < .7 + fmt = "%.1f" if dec else "%d" + fig, ax = plt.subplots(figsize=(rng.uniform(6, 10), rng.uniform(4, 6)), dpi=rng.choice([100, 120, 140])) + x = np.arange(ncat) + if kind == "bar": + w = .8 / nser + for s in range(nser): + bars = ax.bar(x + s * w - .4 + w / 2, data[s], w, label=names[s]) + if labeled: + ax.bar_label(bars, fmt=fmt, fontsize=8) + ax.set_xticks(x) + ax.set_xticklabels(cats) + elif kind == "hbar": + w = .8 / nser + for s in range(nser): + bars = ax.barh(x + s * w - .4 + w / 2, data[s], w, label=names[s]) + if labeled: + ax.bar_label(bars, fmt=fmt, fontsize=8) + ax.set_yticks(x) + ax.set_yticklabels(cats) + elif kind == "stack": + bottom = np.zeros(ncat) + for s in range(nser): + bars = ax.bar(x, data[s], .6, bottom=bottom, label=names[s]) + if labeled: + ax.bar_label(bars, fmt=fmt, label_type="center", fontsize=8) + bottom += np.array(data[s], float) + ax.set_xticks(x) + ax.set_xticklabels(cats) + elif kind == "line": + for s in range(nser): + ax.plot(x, data[s], marker="o", label=names[s]) + if labeled: + for xi, yi in zip(x, data[s]): + ax.annotate(fmt % yi, (xi, yi), textcoords="offset points", xytext=(0, 5), ha="center", fontsize=8) + ax.set_xticks(x) + ax.set_xticklabels(cats) + else: + tot = float(sum(data[0])) + ax.pie(data[0], labels=cats, autopct=lambda p: fmt % (p * tot / 100.0)) + if kind != "pie" and nser > 1: + ax.legend(fontsize=8) + ax.set_title(" ".join(rng.sample(_WORDS, 3)).title()) + buf = io.BytesIO() + fig.savefig(buf, format="png", bbox_inches="tight") + plt.close(fig) + buf.seek(0) + img = Image.open(buf).convert("RGB") + gt_rows = [["Category"] + names] + [[cats[i]] + [str(data[s][i]) for s in range(nser)] for i in range(ncat)] + return dict(img=img, gt_rows=gt_rows, gt_html=None, kind="chart", tol=0.01 if labeled else 0.08) + + +def make_sample(kind, seed): + return make_table(seed) if kind == "table" else make_chart(seed) + + +def score_sample(kind, md, gt_html, gt_rows, tol): + if kind == "table": + return best_table_score(md, gt_html) + return chart_score(md, gt_rows, tol) + + +def to_page_scale(img, rng): + """Simulate a region seen at page resolution: shrink + JPEG (+ occasional blur).""" + from PIL import Image, ImageFilter + s = rng.uniform(.28, .55) + w, h = max(64, int(img.width * s)), max(32, int(img.height * s)) + out = img.resize((w, h), Image.LANCZOS) + if rng.random() < .3: + out = out.filter(ImageFilter.GaussianBlur(rng.uniform(.3, .8))) + buf = io.BytesIO() + out.save(buf, format="JPEG", quality=rng.randint(55, 90)) + buf.seek(0) + return Image.open(buf).convert("RGB") + + +def make_page(seed, with_table=True, W=1275, H=1650): + from PIL import Image, ImageDraw + rng = random.Random(seed) + img = Image.new("RGB", (W, H), "white") + d = ImageDraw.Draw(img) + f_t, f_b = _font(34), _font(22) + d.text((90, 70), " ".join(rng.sample(_WORDS, 3)).title() + " Report", fill="black", font=f_t) + + def para(y, n): + line = "" + for _ in range(n): + w = rng.choice(_WORDS) + t = (line + " " + w).strip() + if d.textlength(t, font=f_b) > W - 180: + d.text((90, y), line, fill="black", font=f_b) + y += 34 + line = w + else: + line = t + if line: + d.text((90, y), line, fill="black", font=f_b) + y += 34 + return y + 22 + + y = para(150, rng.randint(40, 90)) + gt = None + if with_table: + t = make_table(seed + 7) + ti = t["img"] + s = min(1.0, (W - 180) / ti.width, .8) + ti = ti.resize((max(8, int(ti.width * s)), max(8, int(ti.height * s)))) + if y + ti.height < H - 300: + img.paste(ti, (90, y)) + y += ti.height + 30 + gt = t["gt_html"] + para(y, rng.randint(30, 70)) + return dict(img=img, gt_html=gt) + + +# ---------------------------------------------------------------------------------------------- +# D. generation with per-token entropy (torch / transformers imported lazily) +# ---------------------------------------------------------------------------------------------- +def fit_image(img, max_side): + from PIL import Image + img = img.convert("RGB") + s = min(1.0, max_side / float(max(img.size))) + if s < 1.0: + img = img.resize((max(8, int(img.width * s)), max(8, int(img.height * s))), Image.LANCZOS) + return img + + +def block_class(b): + for k in ("class", "cls", "label", "category", "type", "class_name", "semantic_class"): + if k in b: + return str(b[k]).replace("", "") + return "" + + +def _recorder_cls(): + import torch + from transformers import LogitsProcessor + + class EntropyRecorder(LogitsProcessor): + def __init__(self): + self.rows = [] + + def __call__(self, input_ids, scores): + with torch.no_grad(): + lp = torch.log_softmax(scores.float(), -1) + self.rows.append(-(lp.exp() * lp).sum(-1)) + return scores + + return EntropyRecorder + + +def gen_batch(model, processor, gen_cfg, images, max_new_tokens=2048, max_side=1664, want_entropy=True, + rep_penalty=None): + import copy + import torch + from transformers import LogitsProcessorList + p = next(model.parameters()) + dev, dt = p.device, p.dtype + imgs = [fit_image(i, max_side) for i in images] + n = len(imgs) + try: + inputs = processor(images=imgs, text=[TASK_PROMPT] * n if n > 1 else TASK_PROMPT, return_tensors="pt", + add_special_tokens=False) + except Exception: + inputs = processor(images=imgs, text=TASK_PROMPT, return_tensors="pt", add_special_tokens=False) + inputs = {k: (v.to(dev, dtype=dt) if torch.is_floating_point(v) else v.to(dev)) for k, v in dict(inputs).items()} + g = copy.deepcopy(gen_cfg) + g.max_new_tokens = int(max_new_tokens) + if rep_penalty is not None: + g.repetition_penalty = float(rep_penalty) + rec = _recorder_cls()() if want_entropy else None + kw = dict(generation_config=g) + if rec is not None: + kw["logits_processor"] = LogitsProcessorList([rec]) + with torch.inference_mode(): + out = model.generate(**inputs, **kw) + if not torch.is_tensor(out): + out = out.sequences + pid = inputs.get("input_ids") + npr = 0 + if pid is not None and out.shape[1] >= pid.shape[1] and torch.equal(out[0, :pid.shape[1]].cpu(), pid[0].cpu()): + npr = int(pid.shape[1]) + tok = processor.tokenizer + eos, pad = tok.eos_token_id, tok.pad_token_id + ent = torch.stack(rec.rows, 1).float().cpu().numpy() if (rec is not None and rec.rows) else None + res = [] + for i in range(n): + seq = out[i, npr:].tolist() + end = len(seq) + if eos is not None and eos in seq[1:]: + end = seq.index(eos, 1) + 1 + else: + while end > 0 and pad is not None and seq[end - 1] == pad: + end -= 1 + ids = seq[:end] + e = ent[i, :end].tolist() if ent is not None else [] + text = processor.batch_decode(out[i:i + 1, :npr + end], skip_special_tokens=False)[0] + res.append(dict(ids=ids, ent=e, text=text, n_prompt=npr, + hit_max=bool(end >= max_new_tokens - 1 and (eos is None or ids[-1:] != [eos])))) + del out, inputs + return res + + +def gen_safe(model, processor, gen_cfg, images, **kw): + """OOM-proof generation: halve the batch, then shrink resolution; non-OOM batch failures fall back to singles.""" + import gc + import torch + try: + return gen_batch(model, processor, gen_cfg, images, **kw) + except torch.cuda.OutOfMemoryError: + gc.collect() + torch.cuda.empty_cache() + if len(images) == 1: + ms = kw.get("max_side", 1664) + if ms > 768: + return gen_safe(model, processor, gen_cfg, images, **dict(kw, max_side=int(ms * .75))) + raise + h = len(images) // 2 + return gen_safe(model, processor, gen_cfg, images[:h], **kw) + gen_safe(model, processor, gen_cfg, images[h:], **kw) + except Exception: + if len(images) > 1: + return [r for im in images for r in gen_safe(model, processor, gen_cfg, [im], **kw)] + raise + + +def class_spans(processor, ids): + toks = processor.tokenizer.convert_ids_to_tokens(list(ids)) + idx = [(i, t) for i, t in enumerate(toks) if t and re.fullmatch(r"]+>", t)] + return [dict(cls=t[7:-1], start=i, end=(idx[k + 1][0] if k + 1 < len(idx) else len(ids))) + for k, (i, t) in enumerate(idx)] + + +def _crop(image, box, margin=.03): + x0, y0, x1, y1 = [float(v) for v in box] + w, h = image.size + mx, my = (x1 - x0) * margin, (y1 - y0) * margin + box = (max(0, int(x0 - mx)), max(0, int(y0 - my)), min(w, int(x1 + mx)), min(h, int(y1 + my))) + if box[2] - box[0] < 8 or box[3] - box[1] < 8: + return image + return image.crop(box) + + +def parse_page(model, processor, gen_cfg, image, postprocess, mode="single", router=None, tau=None, + budget_frac=None, enc_fn=None, max_new_tokens=4096, max_side=1664, margin=.03): + """mode: 'single' | 'all' (refine every table/chart block = model-card double pass) | 'routed' (A+B).""" + info = dict(n_regions=0, n_refined=0, map_fail=False, gens=1) + o = gen_safe(model, processor, gen_cfg, [image], max_new_tokens=max_new_tokens, max_side=max_side)[0] + doc = postprocess(o["text"], image_size=image.size) + md, blocks = doc["markdown"], doc.get("blocks", []) + out = dict(md=md, md_single=md, info=info, raw=o) + if mode == "single": + return out + spans = class_spans(processor, o["ids"]) + reg = [i for i, b in enumerate(blocks) if block_class(b).lower() in ("table", "chart")] + tabs = _TABLE_RE.findall(md) + if len(spans) != len(blocks) or len(tabs) != len(reg): + info["map_fail"] = True + return out + info["n_regions"] = len(reg) + if not reg: + return out + feats = [] + for k, i in enumerate(reg): + sp, b = spans[i], blocks[i] + sim = None + if mode == "routed" and enc_fn is not None: + try: + sim = enc_fn(_crop(image, b["bbox_pixels"], margin), render_table_image(tabs[k])) + except Exception: + sim = None + feats.append(region_features(o["ent"][sp["start"]:sp["end"]], o["ids"][sp["start"]:sp["end"]], tabs[k], + block_class(b).lower() == "chart", o["hit_max"], sim)) + out["feats"] = feats + if mode == "all": + pick = list(range(len(reg))) + else: + pred = router.predict(feats) + out["pred_gain"] = [float(x) for x in pred] + if budget_frac is not None: + pick = list(np.argsort(-pred)[:int(math.ceil(budget_frac * len(reg)))]) + else: + pick = [j for j, pv in enumerate(pred) if pv >= (tau if tau is not None else router.tau)] + pick = sorted(int(j) for j in pick) + crops = [_crop(image, blocks[reg[j]]["bbox_pixels"], margin) for j in pick] + if crops: + outs = gen_safe(model, processor, gen_cfg, crops, max_new_tokens=max_new_tokens, max_side=max_side) + info["gens"] += len(crops) + for j, o2, cr in zip(pick, outs, crops): + t2 = extract_tables(postprocess(o2["text"], image_size=cr.size)["markdown"]) + if t2: + best = max(t2, key=lambda h: sum(len(r) for r in (parse_table(h) or []))) + md = replace_nth_table(md, j, best) + info["n_refined"] += 1 + out["md"] = md + return out diff --git a/thrisul_router.joblib b/thrisul_router.joblib new file mode 100644 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"content": "谿", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64587, + "content": "谄", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64588, + "content": "诽", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64589, + "content": "诧", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64590, + "content": "诖", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64591, + "content": "讥", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64592, + "content": "譫", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64593, + "content": "誥", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64594, + "content": "誒", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64595, + "content": "誑", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64596, + "content": "誂", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64597, + "content": "覈", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64598, + "content": "覀", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64599, + "content": "襠", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": 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"id": 64648, + "content": "爰", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64649, + "content": "煐", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64650, + "content": "炘", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64651, + "content": "灩", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64652, + "content": "濵", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64653, + "content": "漚", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 64654, + "content": "渌", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": 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"content": "罽", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70857, + "content": "繈", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70858, + "content": "篚", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70859, + "content": "篅", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70860, + "content": "箰", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70861, + "content": "竁", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70862, + "content": "穙", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70863, + "content": "稄", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70864, + "content": "禖", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70865, + "content": "祰", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70866, + "content": "祘", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70867, + "content": "礧", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70868, + "content": "礚", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70869, + "content": "磟", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": 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"content": "榿", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70912, + "content": "榰", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70913, + "content": "椔", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70914, + "content": "棸", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70915, + "content": "棬", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70916, + "content": "栚", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70917, + "content": "柷", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70918, + "content": "枾", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70919, + "content": "杋", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70920, + "content": "曀", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70921, + "content": "晹", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70922, + "content": "晎", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70923, + "content": "旣", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 70924, + "content": "搇", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": 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"id": 71633, + "content": "晵", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 71634, + "content": "昮", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 71635, + "content": "攛", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 71636, + "content": "攋", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 71637, + "content": "擽", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 71638, + "content": "撴", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 71639, + "content": "撔", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": 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"Ġreact": 12924, + "Ġmacrophage": 12925, + "Ġwavelet": 12926, + "ochrom": 12927, + "Ġfairly": 12928, + "Ġpreceding": 12929, + "Ġspir": 12930, + "network": 12931, + "ĠNak": 12932, + "IFT": 12933, + "Ġago": 12934, + "Ġencryp": 12935, + "ald": 12936, + "ensin": 12937, + "Ġsulph": 12938, + "ĠPolymer": 12939, + "ĠArt": 12940, + "Ġsubunits": 12941, + "shot": 12942, + "Ġbegins": 12943, + "Ġexer": 12944, + "propto": 12945, + "Ġnurses": 12946, + "Ġsuffices": 12947, + "Ġgraded": 12948, + "ĠRock": 12949, + "Ġuniquely": 12950, + "itol": 12951, + "Ġspiral": 12952, + "Ġthanks": 12953, + "character": 12954, + "ĠDistributed": 12955, + "ĠCart": 12956, + "Form": 12957, + "Ġformulations": 12958, + "ictionary": 12959, + "Ġspreading": 12960, + "Ġsingularity": 12961, + "Ġpigs": 12962, + "itu": 12963, + "otrophic": 12964, + "ÑĢ": 12965, + "Ġsemiconductor": 12966, + "Ġdrag": 12967, + "next": 12968, + "maxim": 12969, + "unn": 12970, + "Ġargued": 12971, + "plastic": 12972, + "Ġdehydrogenase": 12973, + "Ġreinforcement": 12974, + "entral": 12975, + "ĠDS": 12976, + "Ġcompanies": 12977, + "Ġquantization": 12978, + "ĠDri": 12979, + "Ġsimpler": 12980, + "Ġradii": 12981, + "ĠEthics": 12982, + "ĠElectronic": 12983, + "taken": 12984, + "Ġpharmacological": 12985, + "pson": 12986, + "Ġpairing": 12987, + "Ġnest": 12988, + "ĠRS": 12989, + "Ġlic": 12990, + "ocon": 12991, + "Ġobserving": 12992, + "ĠFM": 12993, + "IES": 12994, + "Ġsubmitted": 12995, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 12996, + "Ġnoisy": 12997, + "Ġvanishing": 12998, + "ĠTechnologies": 12999, + "ilst": 13000, + "agic": 13001, + "Ġembeddings": 13002, + "Ġplans": 13003, + "reak": 13004, + "oct": 13005, + "Ġepithelium": 13006, + "Ġreversible": 13007, + "Ġrequests": 13008, + "Vi": 13009, + "ĠProg": 13010, + "methoxy": 13011, + "uria": 13012, + "Ġslice": 13013, + "Ġmetastases": 13014, + "ĠMary": 13015, + "Ġpriori": 13016, + "Ġexplains": 13017, + "ĠSigma": 13018, + "ĠArmy": 13019, + "Ġprey": 13020, + "KL": 13021, + "ĠPass": 13022, + "Ġreproduction": 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"Ġrehabilitation": 13227, + "ĠPrior": 13228, + "comit": 13229, + "mathtt": 13230, + "dia": 13231, + "ĠIon": 13232, + "Ġabuse": 13233, + "Ġharvested": 13234, + "Ġepidemic": 13235, + "Ġfilament": 13236, + "Ġnucleation": 13237, + "ĠKnowledge": 13238, + "rinos": 13239, + "Ġbent": 13240, + "Ġsquared": 13241, + "Ġhippocampal": 13242, + "ĠTG": 13243, + "ANT": 13244, + "modified": 13245, + "ario": 13246, + "ĠFace": 13247, + "Ġgrows": 13248, + "Ġfaults": 13249, + "virus": 13250, + "Ġpartitioning": 13251, + "airs": 13252, + "Ġhearing": 13253, + "Ġcongen": 13254, + "Ġrip": 13255, + "ĠCollabor": 13256, + "Ġinterviews": 13257, + "Ġhuge": 13258, + "Ġbreakdown": 13259, + "Ġmonthly": 13260, + "ĠCONCLUS": 13261, + "Each": 13262, + "Diff": 13263, + "Ġrelay": 13264, + "ĠMuse": 13265, + "oscopy": 13266, + "Ġrenew": 13267, + "gb": 13268, + "Ġbrid": 13269, + "Ġoutlined": 13270, + "orig": 13271, + "eat": 13272, + "ĠWithout": 13273, + "Ġspor": 13274, + "ĠTN": 13275, + "ĠJo": 13276, + "ĠAU": 13277, + "Not": 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"Ġsupernatant": 13328, + "opathological": 13329, + "ĠUltra": 13330, + "ĠTy": 13331, + "Ġgrand": 13332, + "Ġconstitute": 13333, + "ologist": 13334, + "ĠBroad": 13335, + "aware": 13336, + "Ġvicinity": 13337, + "agulation": 13338, + "unsigned": 13339, + "ĠSize": 13340, + "ĠCognitive": 13341, + "Ġsuspected": 13342, + "Ġupl": 13343, + "Ġautoimmune": 13344, + "ĠSK": 13345, + "CB": 13346, + "Ġslices": 13347, + "ĠChi": 13348, + "Ġobservables": 13349, + "Ġhippocampus": 13350, + "sover": 13351, + "Ġfunding": 13352, + "Ġconformation": 13353, + "ĠQuestion": 13354, + "ĠSqu": 13355, + "ĠWill": 13356, + "Ġscattered": 13357, + "irty": 13358, + "Ġplaus": 13359, + "correlation": 13360, + "Ġventilation": 13361, + "ĠGenes": 13362, + "Ġbenign": 13363, + "Ġhetero": 13364, + "Status": 13365, + "angled": 13366, + "Ġbootstrap": 13367, + "Ġvaccines": 13368, + "Ġmicroorganisms": 13369, + "Ġvisits": 13370, + "Ġtheorems": 13371, + "drop": 13372, + "ĠTA": 13373, + "Ġcycling": 13374, + "Ġspectrometer": 13375, + "Ġgroundwater": 13376, + "Ġnanotubes": 13377, + "Ġjoints": 13378, + "ĠEll": 13379, + "Ġconsult": 13380, + "Ġwindows": 13381, + "Ġdisability": 13382, + "Ġgains": 13383, + "Ġdischarg": 13384, + "Ġheated": 13385, + "Ġafore": 13386, + "arying": 13387, + "incre": 13388, + "Ġaggressive": 13389, + "Ġhemod": 13390, + "arium": 13391, + "ĠInst": 13392, + "vm": 13393, + "Ġdroplet": 13394, + "ptive": 13395, + "viously": 13396, + "Ġstarch": 13397, + "Ġdf": 13398, + "osyl": 13399, + "Ġdonors": 13400, + "ĠUnlike": 13401, + "Ġalkaline": 13402, + "Ġintelligence": 13403, + "aa": 13404, + "Ġacceptance": 13405, + "Ġsliding": 13406, + "apses": 13407, + "ĠDiss": 13408, + "istan": 13409, + "auc": 13410, + "Ġbins": 13411, + "Ġmodulate": 13412, + "Ġmanage": 13413, + "outs": 13414, + "Ġsenes": 13415, + "Ġdifferentiate": 13416, + "Ġcounted": 13417, + "ASK": 13418, + "Ġantibacterial": 13419, + "Ġentered": 13420, + "Ġdisadvant": 13421, + "ĠSalmonella": 13422, + "Ġisotopic": 13423, + "Ġannounced": 13424, + 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"ĠMultiv": 17400, + "Ġcystic": 17401, + "pire": 17402, + "Ġoperates": 17403, + "Ġmediating": 17404, + "Ġbeneath": 17405, + "obe": 17406, + "gate": 17407, + "Ġoocytes": 17408, + "Ġmargins": 17409, + "ymmetries": 17410, + "Ġreligious": 17411, + "ĠNit": 17412, + "Ġcutaneous": 17413, + "ANS": 17414, + "Ġdevelops": 17415, + "asia": 17416, + "ĠRoberts": 17417, + "avier": 17418, + "Ġsimplic": 17419, + "Ġrevealing": 17420, + "UND": 17421, + "Ġtea": 17422, + "Ġlysis": 17423, + "Ġaggregated": 17424, + "ĠRGB": 17425, + "Ġcorro": 17426, + "Ġbir": 17427, + "inae": 17428, + "vd": 17429, + "Ġcourt": 17430, + "Ġcontroversial": 17431, + "Ġtow": 17432, + "Ġhysteresis": 17433, + "enberg": 17434, + "Ġenters": 17435, + "png": 17436, + "ĠFlex": 17437, + "Assume": 17438, + "ĠBad": 17439, + "ĠSimilarities": 17440, + "Experim": 17441, + "ATH": 17442, + "Ġut": 17443, + "terms": 17444, + "ĠMol": 17445, + "Ġvisually": 17446, + "Ġadoption": 17447, + "Ġprinting": 17448, + "Ġequiv": 17449, + "ĠPert": 17450, + "Ġpercol": 17451, + "Ġsomeone": 17452, + "abulary": 17453, + "Ġlever": 17454, + "ĠHaus": 17455, + "icillin": 17456, + "itar": 17457, + "Ġtourn": 17458, + "Altern": 17459, + "Exp": 17460, + "~~~~": 17461, + "ĠFo": 17462, + "Ġabol": 17463, + "median": 17464, + "Ġrolling": 17465, + "hm": 17466, + "Ġtelescope": 17467, + "ĠCav": 17468, + "Ġseedlings": 17469, + "inhib": 17470, + "Ġdin": 17471, + "Ġimpurities": 17472, + "Ġamplifier": 17473, + "ĠKer": 17474, + "Ġdiminished": 17475, + "PB": 17476, + "fib": 17477, + "rock": 17478, + "ĠBin": 17479, + "Ġphotosynthetic": 17480, + "ĠCrypt": 17481, + "Ġpreterm": 17482, + "Ġhits": 17483, + "Ġfractal": 17484, + "Ġdiscarded": 17485, + "Ġendocrine": 17486, + "oshi": 17487, + "Ġmodulo": 17488, + "wt": 17489, + "Ġquenching": 17490, + "Ġsounds": 17491, + "ĠEDTA": 17492, + "reactive": 17493, + "Ġresist": 17494, + "anghai": 17495, + "Ġnarr": 17496, + "Ġinitiate": 17497, + "ĠSaint": 17498, + "XR": 17499, + "GeV": 17500, + "ĠIndependent": 17501, + "Ġinjective": 17502, + "upus": 17503, + "Ġlinguistic": 17504, + "Ġanalogues": 17505, + "Ġdissection": 17506, + "Ġlasers": 17507, + "diab": 17508, + "ĠTele": 17509, + "Ġcracks": 17510, + "Ġbrane": 17511, + "VO": 17512, + "ĠExtended": 17513, + "Ġtells": 17514, + "Ġremarks": 17515, + "ulting": 17516, + "ĠBurn": 17517, + "dL": 17518, + "ressible": 17519, + "ĠChap": 17520, + "Ġsq": 17521, + "Ġreproduced": 17522, + "ĠBcl": 17523, + "Ġswarm": 17524, + "opathology": 17525, + "chrotron": 17526, + "Ġmine": 17527, + "Ġhadronic": 17528, + "ĠLocalization": 17529, + "ĠMotor": 17530, + "Ġvisualize": 17531, + "Ġcats": 17532, + "Ġbalancing": 17533, + "ĠSched": 17534, + "CoA": 17535, + "Ġthermodynamics": 17536, + "ĠDiagnostic": 17537, + "Ġrelief": 17538, + "Ġpositivity": 17539, + "Ġhub": 17540, + "ĠInfrared": 17541, + "Sur": 17542, + "omed": 17543, + "Ġoptically": 17544, + "Ġvascul": 17545, + "isations": 17546, + "encoder": 17547, + "Ġcopolymer": 17548, + "Ġrestore": 17549, + "Ġinertia": 17550, + "ubicin": 17551, + "Ġetiology": 17552, + "ĠSecret": 17553, + "ĠCW": 17554, + "Const": 17555, + "ĠBrit": 17556, + "ĠConstant": 17557, + "ĠDIS": 17558, + "Ġdiscipl": 17559, + "bra": 17560, + "ĠOral": 17561, + "ĠUL": 17562, + "Ġdeline": 17563, + "Ġnucleon": 17564, + "Ġemployment": 17565, + "ĠRD": 17566, + "qq": 17567, + "ĠCarolina": 17568, + "ĠGab": 17569, + "Ġassertion": 17570, + "CMC": 17571, + "rgb": 17572, + "Frame": 17573, + "ĠJust": 17574, + "Ġinoculation": 17575, + "cluding": 17576, + "Ġoscillatory": 17577, + "Ġcancel": 17578, + "ĠPoinc": 17579, + "pora": 17580, + "ĠJul": 17581, + "ruvate": 17582, + "Ġpolitic": 17583, + "urus": 17584, + "ĠAdvances": 17585, + "ĠRoot": 17586, + "thood": 17587, + "oxygenase": 17588, + "msg": 17589, + "ĠkV": 17590, + "Ġadmit": 17591, + "Ġrefractory": 17592, + "Ġcloning": 17593, + "Ġfatal": 17594, + "plantation": 17595, + "ĠGir": 17596, + "Ġtes": 17597, + "ĠRho": 17598, + "ohn": 17599, + "Ġinnovation": 17600, + "Ġsending": 17601, + "Ġcable": 17602, + "Ġniche": 17603, + 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"orum": 17654, + "Ġskeleton": 17655, + "Ġcompartments": 17656, + "Read": 17657, + "Ġcoach": 17658, + "Ġmodality": 17659, + "ĠRegister": 17660, + "Ġje": 17661, + "Ġheights": 17662, + "inyl": 17663, + "Ġsubspaces": 17664, + "tip": 17665, + "Ġá¸": 17666, + "ĠGI": 17667, + "Char": 17668, + "rogenic": 17669, + "rett": 17670, + "eutics": 17671, + "Ġadhesive": 17672, + "ĠPier": 17673, + "Left": 17674, + "idental": 17675, + "NAc": 17676, + "Ġconjugation": 17677, + "orov": 17678, + "idge": 17679, + "imaging": 17680, + "ĠTW": 17681, + "Ġpresident": 17682, + "ĠOste": 17683, + "assemb": 17684, + "Ġinternet": 17685, + "Ġdeals": 17686, + "ĠGAP": 17687, + "Ġformulate": 17688, + "ĠUpdate": 17689, + "ĠRNAi": 17690, + "clero": 17691, + "Ġpermutations": 17692, + "Ġisotopes": 17693, + "opic": 17694, + "ĠQU": 17695, + "romes": 17696, + "ĠPolicy": 17697, + "ĠCreek": 17698, + "ĠWindows": 17699, + "Ġmerge": 17700, + "Ġaccident": 17701, + "Ġsuperposition": 17702, + "Ġdebate": 17703, + "Ġdocumentation": 17704, 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"brane": 17754, + "lational": 17755, + "eme": 17756, + "Ġbehave": 17757, + "umen": 17758, + "oston": 17759, + "oves": 17760, + "Ġgar": 17761, + "Ġadrenal": 17762, + "ĠEstimating": 17763, + "Nb": 17764, + "Ġechocardi": 17765, + "Ġemphasized": 17766, + "Ġengines": 17767, + "Ġbrackets": 17768, + "Ġleaders": 17769, + "Ġdistinctive": 17770, + "ĠLymph": 17771, + "Ġexert": 17772, + "Ġinnovative": 17773, + "coupling": 17774, + "ĠSignific": 17775, + "sheet": 17776, + "ĠCover": 17777, + "ĠCCD": 17778, + "ĠFall": 17779, + "stimulated": 17780, + "Ġsuperoxide": 17781, + "Ġpollutants": 17782, + "Ġbytes": 17783, + "ĠLipid": 17784, + "Ġtrafficking": 17785, + "Ġleadership": 17786, + "informatics": 17787, + "Ġbiodiversity": 17788, + "ador": 17789, + "Ġinterconn": 17790, + "Ġharmonics": 17791, + "Ġseawater": 17792, + "ĠIllumina": 17793, + "necessary": 17794, + "ĠAnton": 17795, + "Ġprocessors": 17796, + "typename": 17797, + "Det": 17798, + "proton": 17799, + "Ġsubtraction": 17800, + "Ġshifting": 17801, + "Ġcustomers": 17802, + "Ke": 17803, + "ĠOB": 17804, + "atonin": 17805, + "atellite": 17806, + "ĠSUS": 17807, + "ĠColon": 17808, + "ĠTimes": 17809, + "TV": 17810, + "ĠMink": 17811, + "ĠIntegration": 17812, + "Ġprofound": 17813, + "ITC": 17814, + "Ġgras": 17815, + "ĠNASA": 17816, + "ĠACK": 17817, + "radiol": 17818, + "ĠMale": 17819, + "ĠWorking": 17820, + "ticity": 17821, + "ilibria": 17822, + "boundary": 17823, + "ĠRI": 17824, + "ĠAli": 17825, + "cardi": 17826, + "ĠFGF": 17827, + "branes": 17828, + "Ġbeet": 17829, + "Ġmissed": 17830, + "Source": 17831, + "ĠBot": 17832, + "ieve": 17833, + "Ġisother": 17834, + "neys": 17835, + "nl": 17836, + "ortion": 17837, + "Ġcooled": 17838, + "MV": 17839, + "Ġomit": 17840, + "Ġverbal": 17841, + "arette": 17842, + "Ġconference": 17843, + "Ġtransformer": 17844, + "Ġrejected": 17845, + "Ġprogressively": 17846, + "ĠTurkey": 17847, + "Ġathletes": 17848, + "Ġanatomy": 17849, + "EQ": 17850, + "Ġdeterioration": 17851, + "ĠDietary": 17852, + "Ġcorn": 17853, + "Ġcapsule": 17854, + "Ġvibrations": 17855, + "Ġoccupational": 17856, + "Ġexosomes": 17857, + "Ġrewritten": 17858, + "Ġlignin": 17859, + "Ġbiopsies": 17860, + "ĠAdversarial": 17861, + "Ġmercury": 17862, + "Ġplatinum": 17863, + "Ġirrelevant": 17864, + "Ġkeratin": 17865, + "ĠEmission": 17866, + "Ġeukaryotic": 17867, + "Ġinteg": 17868, + "Ġknot": 17869, + "Ġsera": 17870, + "Ġcavities": 17871, + "ĠMedi": 17872, + "Indeed": 17873, + "Eu": 17874, + "ĠâŁ": 17875, + "Ġscenes": 17876, + "Ġlaparoscopic": 17877, + "Ġsenior": 17878, + "ĠDistance": 17879, + "predic": 17880, + "Ġearliest": 17881, + "Ġorg": 17882, + "ĠThor": 17883, + "bury": 17884, + "oblasts": 17885, + "Ġpumping": 17886, + "targeted": 17887, + "Ġrap": 17888, + "ĠPil": 17889, + "Îł": 17890, + "Ġneurom": 17891, + "oft": 17892, + "ostat": 17893, + "Ġpadding": 17894, + "Ġconflicts": 17895, + "Ġstems": 17896, + "ĠSaccharomyces": 17897, + "engine": 17898, + "Ġalkyl": 17899, + "Ġtill": 17900, + "ĠQuad": 17901, + "good": 17902, + "rox": 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"Ġtriglycer": 17953, + "Ġgestational": 17954, + "Ġbesides": 17955, + "ĠIii": 17956, + "ĠZone": 17957, + "Ġcoping": 17958, + "Ġminority": 17959, + "Ġdeprivation": 17960, + "Ġhexagonal": 17961, + "chlorophenyl": 17962, + "ĠóµĦ¨": 17963, + "Ġgyr": 17964, + "Ġviewing": 17965, + "Newton": 17966, + "ĠHierarchical": 17967, + "oL": 17968, + "eces": 17969, + "Ġconcludes": 17970, + "Ġfungus": 17971, + "Ġpylori": 17972, + "Ġobstacles": 17973, + "thiazol": 17974, + "conjugated": 17975, + "rass": 17976, + "Ġlose": 17977, + "Ġforth": 17978, + "ĠAllen": 17979, + "oplast": 17980, + "ĠProtection": 17981, + "Ġintermittent": 17982, + "Ġluciferase": 17983, + "ĠMK": 17984, + "Ġgaug": 17985, + "ĠFan": 17986, + "Ġmodal": 17987, + "ĠExercise": 17988, + "scattering": 17989, + "ĠShim": 17990, + "Ġexcretion": 17991, + "Ġatypical": 17992, + "Ġmalignancies": 17993, + "anglades": 17994, + "ĠSpectroscopy": 17995, + "Ġadenosine": 17996, + "lif": 17997, + "Ġnucleic": 17998, + "Ġinclination": 17999, + "ĠCass": 18000, + "Ġethn": 18001, + "Ġexempl": 18002, + "ĠDy": 18003, + "Ġlambda": 18004, + "Ġjac": 18005, + "ĠPRE": 18006, + "Ġrailway": 18007, + "Ġfle": 18008, + "Ġreflections": 18009, + "Ġnanostructures": 18010, + "tists": 18011, + "prints": 18012, + "ĠCAT": 18013, + "Ġsib": 18014, + "Ġchloro": 18015, + "Ġrecipient": 18016, + "optic": 18017, + "Ġcounty": 18018, + "Ġnucleotides": 18019, + "Ġzircon": 18020, + "Ġhorses": 18021, + "ĠMental": 18022, + "inline": 18023, + "ĠNorway": 18024, + "They": 18025, + "Ġmuscular": 18026, + "acetic": 18027, + "ĠJu": 18028, + "Ġcommunic": 18029, + "files": 18030, + "filled": 18031, + "HB": 18032, + "Ġregulations": 18033, + "Ġaccumulate": 18034, + "ĠPanel": 18035, + "Cy": 18036, + "öl": 18037, + "ĠPakistan": 18038, + "Ġthoracic": 18039, + "ĠMPI": 18040, + "portion": 18041, + "Ġinductive": 18042, + "ĠCongress": 18043, + "Ġfibroblast": 18044, + "clust": 18045, + "Ġcentres": 18046, + "adel": 18047, + "Ġsubstitutions": 18048, + "Ġtruncation": 18049, + "rification": 18050, + "oka": 18051, + "Flow": 18052, + "ĠReduc": 18053, + "polarized": 18054, + "ibular": 18055, + "Pe": 18056, + "ĠAML": 18057, + "ĠAgency": 18058, + "Ġtilt": 18059, + "ublished": 18060, + "Ġdepolar": 18061, + "Ġbelt": 18062, + "Ġoptimizer": 18063, + "ELL": 18064, + "ĠHandbook": 18065, + "ĠVirginia": 18066, + "sense": 18067, + "ĠDur": 18068, + "Ġpiezoelectric": 18069, + "Ġawarded": 18070, + "ailing": 18071, + "Pos": 18072, + "pref": 18073, + "ĠSummer": 18074, + "edo": 18075, + "ĠIde": 18076, + "ĠBSA": 18077, + "Ġmonomers": 18078, + "Ġcoagulation": 18079, + "Ġgam": 18080, + "Ġhomes": 18081, + "Ġheads": 18082, + "admium": 18083, + "ĠOC": 18084, + "Ġoccupancy": 18085, + "ĠEmpirical": 18086, + "ĠIi": 18087, + "Ġchir": 18088, + "Ġdegeneracy": 18089, + "Ġflowers": 18090, + "Ġsuperconductivity": 18091, + "Ġinversely": 18092, + "optical": 18093, + "were": 18094, + "ĠAsymptotic": 18095, + "Sec": 18096, + "title": 18097, + "posal": 18098, + "ĠProgn": 18099, + "Ġposes": 18100, + "ĠBorn": 18101, + "Ġcontinuation": 18102, + "Ġcultivated": 18103, + "entiment": 18104, + "Ġmanaging": 18105, + "Ġthrombosis": 18106, + "aug": 18107, + "CNT": 18108, + "urea": 18109, + "Ġspind": 18110, + "ĠWhereas": 18111, + "ĠPerson": 18112, + "Ġbipartite": 18113, + "Ġrescal": 18114, + "Ġmarkets": 18115, + "phan": 18116, + "perties": 18117, + "Ġfermionic": 18118, + "Ġmunicip": 18119, + "Ġachievable": 18120, + "tab": 18121, + "Åį": 18122, + "ĠRelation": 18123, + "Total": 18124, + "xia": 18125, + "Ġintelligent": 18126, + "ĠUT": 18127, + "ĠDal": 18128, + "Ġmedicinal": 18129, + "Ġinadequate": 18130, + "iently": 18131, + "ersen": 18132, + "Ġprecondition": 18133, + "Ġmethodological": 18134, + "Ġcanopy": 18135, + "Ġbacterium": 18136, + "column": 18137, + "Cal": 18138, + "ĠDiego": 18139, + "ĠSak": 18140, + "ĠComprehensive": 18141, + "Ġantitumor": 18142, + "Ġflower": 18143, + "ĠKhan": 18144, + "Ġmetadata": 18145, + "Ġphotore": 18146, + "ogenicity": 18147, + "Ġleague": 18148, + "olating": 18149, + "Ġpromise": 18150, + "ĠPere": 18151, + "Ġpermits": 18152, + "Ġthreads": 18153, + "ĠDCs": 18154, + "ĠCham": 18155, + "razol": 18156, + "Bank": 18157, + "Ġwithdrawal": 18158, + "Ġappend": 18159, + "othelial": 18160, + "ĠMeasures": 18161, + "Ġguideline": 18162, + "Ġmitigate": 18163, + "adjoint": 18164, + "Ġbracket": 18165, + "Pad": 18166, + "Mills": 18167, + "Buffer": 18168, + "Ġcass": 18169, + "hoc": 18170, + "manifolds": 18171, + "herry": 18172, + "Ġfacilitated": 18173, + "Event": 18174, + "ĠÈ": 18175, + "ĠCruz": 18176, + "ĠBrand": 18177, + "Ġnecessity": 18178, + "burgh": 18179, + "ĠmeV": 18180, + "ĠcAMP": 18181, + "Off": 18182, + "selected": 18183, + "Ġengage": 18184, + "Ġredundancy": 18185, + "Ġnanocomposites": 18186, + "solution": 18187, + "onset": 18188, + "ĠExposure": 18189, + "Ġrepetitive": 18190, + "Ãł": 18191, + "ĠRAD": 18192, + "ĠTurk": 18193, + "Ġcorneal": 18194, + "Ġexploiting": 18195, + "Ġobstructive": 18196, + "gramming": 18197, + "ĠMED": 18198, + "Ġmathem": 18199, + "Ġconductive": 18200, + "Ġphotosynthesis": 18201, + "Einstein": 18202, + "ĠPeng": 18203, + "MW": 18204, + "ĠSchmidt": 18205, + "Ġrepetition": 18206, + "identified": 18207, + "Ġinjured": 18208, + "Ġdefective": 18209, + "ĠPel": 18210, + "Ġcultivation": 18211, + "Ġfirstly": 18212, + "Ġanalyzer": 18213, + "Ġstainless": 18214, + "Ġjoining": 18215, + "ĠOxidative": 18216, + "Ġphage": 18217, + "Ġexpendit": 18218, + "Ġhomogeneity": 18219, + "iple": 18220, + "ovic": 18221, + "Ġcrossed": 18222, + "ĠTrust": 18223, + "ĠFract": 18224, + "rophysiological": 18225, + "Ġbasically": 18226, + "Ġcoales": 18227, + "Ġgravit": 18228, + "fulness": 18229, + "cano": 18230, + "Ġcolitis": 18231, + "Ġchaos": 18232, + "carbons": 18233, + "Once": 18234, + "ĠToward": 18235, + "orf": 18236, + "topic": 18237, + "ĠPlay": 18238, + "ĠCorrespond": 18239, + "ĠSleep": 18240, + "ticularly": 18241, + "cumin": 18242, + "vdots": 18243, + "ĠRhe": 18244, + "Ġultraf": 18245, + "Ġtimescale": 18246, + "ĠDetails": 18247, + "angles": 18248, + "Ġsurrogate": 18249, + "ĠFluid": 18250, + "cz": 18251, + "Ġinitialization": 18252, + "ĠTelescope": 18253, + "rases": 18254, + "ĠStock": 18255, + "ĠCond": 18256, + "Ġimmunodeficiency": 18257, + "Bel": 18258, + "oser": 18259, + "shown": 18260, + "Ġkcal": 18261, + "Equation": 18262, + "protective": 18263, + "Ġcalling": 18264, + "Ġanticipated": 18265, + "Ġambiguity": 18266, + "ĠNode": 18267, + "ĠGD": 18268, + "Ġinlet": 18269, + "Ġbread": 18270, + "Ġexceeded": 18271, + "Ġimmunization": 18272, + "Ġprohib": 18273, + "ytic": 18274, + "Ġboys": 18275, + "tu": 18276, + "Ġtower": 18277, + "Like": 18278, + "ĠAnomal": 18279, + "âĮ": 18280, + "ĠShow": 18281, + "Ġimaged": 18282, + "Ġequil": 18283, + "Ġrendering": 18284, + "obility": 18285, + "Ġgeological": 18286, + "friend": 18287, + "ör": 18288, + "carboxamide": 18289, + "ovolta": 18290, + "Current": 18291, + "ĠSti": 18292, + "ĠMU": 18293, + "Ġvalued": 18294, + "Ġpoison": 18295, + "Ġpractically": 18296, + "Ġrequested": 18297, + "Code": 18298, + "Ġbrings": 18299, + "Ġdimethyl": 18300, + "hyp": 18301, + "cemic": 18302, + "Vol": 18303, + "quanti": 18304, + "Ġexha": 18305, + "Ġresponsibility": 18306, + "ĠControlled": 18307, + "Ġfur": 18308, + "Ġresemb": 18309, + "ĠKaw": 18310, + "Ġevoked": 18311, + "Ġuterine": 18312, + "л": 18313, + "Ġanonymous": 18314, + "ĠChallenges": 18315, + "Ġanchor": 18316, + "ĠAbd": 18317, + "Der": 18318, + "Ġthermally": 18319, + "ĠCAP": 18320, + "oblot": 18321, + "ĠFire": 18322, + "Ġdiagnostics": 18323, + "Ġexecute": 18324, + "alis": 18325, + "roni": 18326, + "ĠHarris": 18327, + "ĠGonz": 18328, + "Ġvig": 18329, + "ĠProfessor": 18330, + "Ġinventory": 18331, + "intensity": 18332, + "ĠNSCLC": 18333, + "Ġinterfere": 18334, + "ysaccharides": 18335, + "Ġregener": 18336, + "ĠAuthors": 18337, + "Ġtranslate": 18338, + "ĠTests": 18339, + "ĠLove": 18340, + "ĠInduced": 18341, + "ennis": 18342, + "ĠGEN": 18343, + "Ġoligonucle": 18344, + "Ġmeter": 18345, + "satisf": 18346, + "hesion": 18347, + "Ġtransporters": 18348, + "BIT": 18349, + "ĠConc": 18350, + "Ġglauc": 18351, + "scores": 18352, + "Ġmerger": 18353, + "GH": 18354, + "Ġstoichi": 18355, + "ĠXia": 18356, + "effects": 18357, + "ĠExploring": 18358, + "dorff": 18359, + "Ġcardinality": 18360, + "ĠKaz": 18361, + "false": 18362, + "ĠHSP": 18363, + "Ġunsupervised": 18364, + "inguish": 18365, + "ischer": 18366, + "Ġrelativity": 18367, + "onormal": 18368, + "oothed": 18369, + "edges": 18370, + "ĠIMP": 18371, + "Ġimpulse": 18372, + "ĠColumbia": 18373, + "Ġparticulate": 18374, + "ĠSupporting": 18375, + "ĠSDSS": 18376, + "voltage": 18377, + "ĠAmazon": 18378, + "Ġepoxy": 18379, + "Call": 18380, + "Bigl": 18381, + "Ġmeets": 18382, + "Ġequatorial": 18383, + "Ġneuros": 18384, + "Ġperitoneal": 18385, + "desc": 18386, + "inputs": 18387, + "Ġexterior": 18388, + "aco": 18389, + "Ġmeal": 18390, + "ĠDaniel": 18391, + "Ġintuitive": 18392, + "Ġcouns": 18393, + "depress": 18394, + "inis": 18395, + "phot": 18396, + "ĠAmin": 18397, + "Ġreservoirs": 18398, + "ĠWhole": 18399, + "Ġcaud": 18400, + "Ġbosonic": 18401, + "Ġreaders": 18402, + "Ġcrim": 18403, + "Ġpathophysiology": 18404, + "argo": 18405, + "these": 18406, + "income": 18407, + "Ġissued": 18408, + "Ġhepatocytes": 18409, + "ĠCi": 18410, + "deriv": 18411, + "upta": 18412, + "tuple": 18413, + "ĠChan": 18414, + "Ġauthentication": 18415, + "ygd": 18416, + "Ġinfin": 18417, + "Ġaccelerate": 18418, + "eptive": 18419, + "Ġhydrogel": 18420, + "aska": 18421, + "ONE": 18422, + "Ġfederal": 18423, + "ographics": 18424, + "Ġmuon": 18425, + "Ġslide": 18426, + "Ġelliptical": 18427, + "atite": 18428, + "Ġcc": 18429, + "ETs": 18430, + "Ġclarity": 18431, + "ocycl": 18432, + "isal": 18433, + "rections": 18434, + "ayan": 18435, + "roweak": 18436, + "ĠSOC": 18437, + "oderm": 18438, + "tun": 18439, + "asm": 18440, + "ĠHir": 18441, + "likelihood": 18442, + "Ġadul": 18443, + "tl": 18444, + "High": 18445, + "Ġalters": 18446, + "plitude": 18447, + "ĠRelease": 18448, + "Ġharmful": 18449, + "late": 18450, + "ounds": 18451, + "ĠFederal": 18452, + "ĠEconomic": 18453, + "Ġrabb": 18454, + "Ġaccommodate": 18455, + "emission": 18456, + "ĠBah": 18457, + "cox": 18458, + "ĠModulation": 18459, + "Ġconstructions": 18460, + "igner": 18461, + "ĠUrban": 18462, + "Ġwake": 18463, + "Ġadversary": 18464, + "wikipedia": 18465, + "Ġsuite": 18466, + "wick": 18467, + "expressed": 18468, + "rod": 18469, + "KD": 18470, + "Ġcomputers": 18471, + "ĠBanglades": 18472, + "Ġpersist": 18473, + "Ġburning": 18474, + "Ġadministrative": 18475, + "Ġplug": 18476, + "ĠRepresentations": 18477, + "ĠScattering": 18478, + "Ġendometrial": 18479, + "Ġdescriptors": 18480, + "Ġcommission": 18481, + "Bar": 18482, + "ighth": 18483, + "ĠMarsh": 18484, + "sampling": 18485, + "Ġhull": 18486, + "icin": 18487, + "Prob": 18488, + "Ġnurse": 18489, + "Ġsham": 18490, + "ĠKerr": 18491, + "Ġprefrontal": 18492, + "Ġfixing": 18493, + "OK": 18494, + "Ġbold": 18495, + "Ġcorollary": 18496, + "cfg": 18497, + "ĠOxford": 18498, + "Ġboron": 18499, + "RB": 18500, + "ĠCab": 18501, + "Bigr": 18502, + "ĠPredict": 18503, + "Ġpeculiar": 18504, + "hidden": 18505, + "isa": 18506, + "iden": 18507, + "appropriate": 18508, + "orh": 18509, + "ellectual": 18510, + "Ġseizures": 18511, + "asser": 18512, + "tilis": 18513, + "handle": 18514, + "iaxial": 18515, + "sym": 18516, + "Ġcarcinomas": 18517, + "sea": 18518, + "spired": 18519, + "Ġabrupt": 18520, + "tests": 18521, + "Ġwelfare": 18522, + "ĠOil": 18523, + "ĠLoad": 18524, + "FLAG": 18525, + "uthal": 18526, + "Ġfacing": 18527, + "American": 18528, + "LAS": 18529, + "Ġirrespective": 18530, + "Ġroutinely": 18531, + "wal": 18532, + "Ġsettlement": 18533, + "ĠAqu": 18534, + "Ġelectronics": 18535, + "Ġhandled": 18536, + "Ġbiologically": 18537, + "smooth": 18538, + "ĠBelongs": 18539, + "tib": 18540, + "Ġtrav": 18541, + "pressive": 18542, + "ournals": 18543, + "к": 18544, + "filename": 18545, + "Ġhelical": 18546, + "Ġbacteri": 18547, + "Ġsatellites": 18548, + "BH": 18549, + "ented": 18550, + "ĠFootball": 18551, + "Ġ": 18552, + "ĠHV": 18553, + "Ġtrip": 18554, + "ĠCKD": 18555, + "rani": 18556, + "Ġcleaning": 18557, + "limit": 18558, + "ĠTCP": 18559, + "Ġscin": 18560, + "Ġsludge": 18561, + "Ġsymbolic": 18562, + "ĠSequencing": 18563, + "adal": 18564, + "ĠPhilipp": 18565, + "ICS": 18566, + "Ġvaginal": 18567, + "Ġcommitment": 18568, + "ĠAwards": 18569, + "trig": 18570, + "Ġguitar": 18571, + "acetate": 18572, + "Ġbet": 18573, + "ClN": 18574, + "Ġagriculture": 18575, + "Ġchief": 18576, + "Ġembol": 18577, + "build": 18578, + "Ġtexts": 18579, + "ĠCooper": 18580, + "lived": 18581, + "ĠDelay": 18582, + "ĠMode": 18583, + "yal": 18584, + "BN": 18585, + "Ġindexed": 18586, + "expr": 18587, + "ERN": 18588, + "vens": 18589, + "Ġpointer": 18590, + "cv": 18591, + "acon": 18592, + "tance": 18593, + "ĠâĪĿ": 18594, + "Ġlowered": 18595, + "Ġmitotic": 18596, + "rhosis": 18597, + "ĠPage": 18598, + "ür": 18599, + "imm": 18600, + "ĠTherapeutic": 18601, + "Ġosteopor": 18602, + "Ġbilinear": 18603, + "ĠCatholic": 18604, + "ĠAlternative": 18605, + "oxidation": 18606, + "Ġinitio": 18607, + "benzo": 18608, + "ĠAdi": 18609, + "person": 18610, + "peritoneal": 18611, + "ĉĉĠ": 18612, + "Ġattraction": 18613, + "Ġdiarrhea": 18614, + "Ġren": 18615, + "ĠISO": 18616, + "imir": 18617, + "Ġterminology": 18618, + "ukey": 18619, + "Ġresonator": 18620, + "Ġsubstituting": 18621, + "Ġharbor": 18622, + "provid": 18623, + "decay": 18624, + "ĠHDAC": 18625, + "ĠAnalytical": 18626, + "Ġpostnatal": 18627, + "Ġundes": 18628, + "Specific": 18629, + "dichlor": 18630, + "ARI": 18631, + "tot": 18632, + "Ġdigit": 18633, + "oping": 18634, + "ĠZinc": 18635, + "Ġlethal": 18636, + "Whitney": 18637, + "Fi": 18638, + "quantum": 18639, + "ĠFailure": 18640, + "Ġsolves": 18641, + "ĠSpaces": 18642, + "earman": 18643, + "Ġgoat": 18644, + "Ġsynapses": 18645, + "Ġresuspended": 18646, + "Ġresident": 18647, + "Ġcompac": 18648, + "Ġcortisol": 18649, + "Ġphotometry": 18650, + "WP": 18651, + "select": 18652, + "Ġcele": 18653, + "orubicin": 18654, + "ĠMultic": 18655, + "ĠJean": 18656, + "Ġclip": 18657, + "Ġsa": 18658, + "oco": 18659, + "geometric": 18660, + "Ġhelic": 18661, + "Ġempirically": 18662, + "Ġmicrofluid": 18663, + "idis": 18664, + "Ġautocor": 18665, + "WF": 18666, + "ĠRespir": 18667, + "radiation": 18668, + "Ġthemes": 18669, + "Ġtaste": 18670, + "ricing": 18671, + "Ġexaminations": 18672, + "ĠSensing": 18673, + "same": 18674, + "DEFAULT": 18675, + "Ġphylogeny": 18676, + "hig": 18677, + "Ġplatelets": 18678, + "ĠHistor": 18679, + "aba": 18680, + "Ġresidential": 18681, + "Ġunbounded": 18682, + "anding": 18683, + "hedron": 18684, + "rys": 18685, + "ĠCCR": 18686, + "Ġconce": 18687, + "Ġparasitic": 18688, + "cb": 18689, + "ĠFeynman": 18690, + "ĠKepler": 18691, + "ô": 18692, + "ĠGil": 18693, + "ĠMATLAB": 18694, + "ben": 18695, + "scope": 18696, + "Ġdiscrimin": 18697, + "Ġjustified": 18698, + "plasma": 18699, + "ĠChoi": 18700, + "Ġroof": 18701, + "PCA": 18702, + "ĠTCR": 18703, + "Ġvoxel": 18704, + "ĠWard": 18705, + "Ġuncor": 18706, + "Stok": 18707, + "Ġspur": 18708, + "TRA": 18709, + "Ġdiagnoses": 18710, + "rophysical": 18711, + "ategories": 18712, + "Ġoverestim": 18713, + "Ġstreaming": 18714, + "ĠRecovery": 18715, + "Ġeverything": 18716, + "LOW": 18717, + "Gener": 18718, + "Ġunbiased": 18719, + "Ġvariances": 18720, + "compact": 18721, + "espan": 18722, + "inj": 18723, + "Ġendoscopic": 18724, + "Ġideals": 18725, + "ĠRice": 18726, + "ĠKaplan": 18727, + "Ġfecal": 18728, + "ferred": 18729, + "ĠCycle": 18730, + "Ġimplanted": 18731, + "Ġwine": 18732, + "PET": 18733, + "Ġassignments": 18734, + "Ġabsol": 18735, + "XT": 18736, + "Ġswimming": 18737, + "MN": 18738, + "ĠGeometric": 18739, + "ĠHealthcare": 18740, + "Ġpowders": 18741, + "ĠGel": 18742, + "Ġdownward": 18743, + "Ġexceeding": 18744, + "ĠHEK": 18745, + "lym": 18746, + "ĠBV": 18747, + "Ġvisco": 18748, + "iet": 18749, + "ĠCOX": 18750, + "ployment": 18751, + "inski": 18752, + "Ġoutdoor": 18753, + "ĠLiterature": 18754, + "anted": 18755, + "methoxyphenyl": 18756, + "ĠMedium": 18757, + "Ġdia": 18758, + "ailand": 18759, + "variance": 18760, + "ĠEvaluating": 18761, + "oxacin": 18762, + "Ġantif": 18763, + "Ġpulp": 18764, + "Ġcorrobor": 18765, + "ĠOt": 18766, + "Ġrabbits": 18767, + "Ru": 18768, + "Ġfunctionals": 18769, + "âĩ": 18770, + "Ġimmersion": 18771, + "Ġcreatin": 18772, + "ĠqRT": 18773, + "Ġcondensed": 18774, + "nr": 18775, + "ĠVA": 18776, + "had": 18777, + "Ġking": 18778, + "oble": 18779, + "Ġexisted": 18780, + "Ġthesis": 18781, + "ubbard": 18782, + "apoptotic": 18783, + "Ġflowering": 18784, + "ĠAdaptation": 18785, + "ĠKalman": 18786, + "trl": 18787, + "Ġment": 18788, + "utation": 18789, + "ĠConv": 18790, + "Ġhistories": 18791, + "Ġenanti": 18792, + "nell": 18793, + "onian": 18794, + "ĠFabric": 18795, + "Ġxx": 18796, + "Ġfell": 18797, + "Ġcytosolic": 18798, + "Ġmud": 18799, + "Ġsuspensions": 18800, + "ĠMicrobial": 18801, + "measured": 18802, + "Ġdownload": 18803, + "Ġinvalid": 18804, + "Ġcapturing": 18805, + "ĠHH": 18806, + "ĠGray": 18807, + "ĠAZ": 18808, + "ĠNash": 18809, + "viation": 18810, + "naire": 18811, + "ortium": 18812, + "ynch": 18813, + "aminergic": 18814, + "Ġwait": 18815, + "Schem": 18816, + "trace": 18817, + "ĠVill": 18818, + "Ġpools": 18819, + "Ġhypoxic": 18820, + "xp": 18821, + "Ġshaded": 18822, + "ORY": 18823, + "turn": 18824, + "interacting": 18825, + "Ġdestroyed": 18826, + "akh": 18827, + "ĠCpG": 18828, + "dotted": 18829, + "ĠTranscript": 18830, + "planar": 18831, + "Ġpreclinical": 18832, + "ĠRepro": 18833, + "ĠSurgery": 18834, + "Stokes": 18835, + "ifdef": 18836, + "Ġdiscriminate": 18837, + "ĠGross": 18838, + "Ġflags": 18839, + "iety": 18840, + "ummy": 18841, + "Ġtransfers": 18842, + "SG": 18843, + "ĠSci": 18844, + "Ġheader": 18845, + "ĠFunding": 18846, + "Ġdetrim": 18847, + "Ġinstabilities": 18848, + "ĠPhylogenetic": 18849, + "ymethyl": 18850, + "ĠAssessing": 18851, + "ROC": 18852, + "elsen": 18853, + "Equal": 18854, + "Ġcas": 18855, + "Ġvertically": 18856, + "Ġvisibility": 18857, + "ĠFTIR": 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"ĠTrade": 24550, + "ĠDai": 24551, + "ccc": 24552, + "ĠWalter": 24553, + "ĠNeither": 24554, + "Ġvulgaris": 24555, + "Ġlongitude": 24556, + "ĠIntro": 24557, + "option": 24558, + "ĠQC": 24559, + "ĠâĿ": 24560, + "protection": 24561, + "ĠIMF": 24562, + "aprote": 24563, + "Ġlinker": 24564, + "Ġfounder": 24565, + "Ġaspiration": 24566, + "clusters": 24567, + "ĠPay": 24568, + "ĠRoles": 24569, + "Ġacyclic": 24570, + "overing": 24571, + "Ġremind": 24572, + "ĠTong": 24573, + "ĠAtten": 24574, + "Ġengineers": 24575, + "Ġdysregulation": 24576, + "ĠFourth": 24577, + "Ġfilename": 24578, + "ĠCool": 24579, + "protected": 24580, + "Ġnilpotent": 24581, + "ĠHK": 24582, + "clone": 24583, + "ĠStadium": 24584, + "ais": 24585, + "osamine": 24586, + "ABILITY": 24587, + "rovascular": 24588, + "ĠAH": 24589, + "ĠConcept": 24590, + "Ġcerebrospinal": 24591, + "owitz": 24592, + "Ġresolving": 24593, + "Ġwings": 24594, + "ĠEGF": 24595, + "ĠCommand": 24596, + "iazep": 24597, + "Ġbeef": 24598, + "Ġspines": 24599, + "Ġpriorities": 24600, + "Ġattempting": 24601, + "Ġtelomere": 24602, + "BQU": 24603, + "Ġviolations": 24604, + "LB": 24605, + "omnia": 24606, + "osm": 24607, + "irq": 24608, + "Ġdiversification": 24609, + "alt": 24610, + "ĠBRAF": 24611, + "Ġorganisation": 24612, + "die": 24613, + "Ġautoreg": 24614, + "icked": 24615, + "ĠEcological": 24616, + "ĠTrain": 24617, + "ĠPY": 24618, + "Ġmusculoskeletal": 24619, + "Ġhorizons": 24620, + "Ġomega": 24621, + "Ġquasars": 24622, + "eption": 24623, + "Ġerad": 24624, + "Ġluminal": 24625, + "Interestingly": 24626, + "Ġpayment": 24627, + "cnt": 24628, + "Ġdipl": 24629, + "Ġrecognised": 24630, + "Cat": 24631, + "ĠChl": 24632, + "Ġmillions": 24633, + "Ġdisappearance": 24634, + "GAP": 24635, + "Ġradiographic": 24636, + "Ġpostpartum": 24637, + "developed": 24638, + "xual": 24639, + "Ġhed": 24640, + "idered": 24641, + "ĠCertain": 24642, + "Ġdysplasia": 24643, + "________": 24644, + "ĠHalf": 24645, + "Ġasymmetries": 24646, + "ĠAlcohol": 24647, + "Sum": 24648, + "Ġfm": 24649, + "Ġchap": 24650, + "Ġpretreated": 24651, + "ĠGallery": 24652, + "Ġoutperform": 24653, + "Ġbreeds": 24654, + "Ġtied": 24655, + "Ġdiffeomorphism": 24656, + "Ġcausative": 24657, + "Ġcollectively": 24658, + "Ġsuboptimal": 24659, + "Ġinsulation": 24660, + "Ġmanipulate": 24661, + "Ġkilomet": 24662, + "Ġrepulsion": 24663, + "Ġchloroform": 24664, + "Ġbean": 24665, + "Ġhero": 24666, + "rophysics": 24667, + "ĠPeptide": 24668, + "Ġoutlier": 24669, + "Derived": 24670, + "isser": 24671, + "ĠInfant": 24672, + "sulfonyl": 24673, + "Ġrecursively": 24674, + "Hu": 24675, + "ĠKoh": 24676, + "pyridine": 24677, + "Ġsquad": 24678, + "Ġthirty": 24679, + "Ġspoken": 24680, + "ĠZar": 24681, + "othermic": 24682, + "Ġcalcification": 24683, + "ĠHelsinki": 24684, + "Ġbeach": 24685, + "ĠFDR": 24686, + "Ġprobiotic": 24687, + "Ġfinishing": 24688, + "ymmetrical": 24689, + "Ġvacancy": 24690, + "Ġthrombo": 24691, + "Compared": 24692, + "AST": 24693, + "sted": 24694, + "otherap": 24695, + "Ġiodide": 24696, 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"hus": 24795, + "ĠãĢ": 24796, + "oradi": 24797, + "ĠCorrection": 24798, + "Ġnanofibers": 24799, + "Ġcantile": 24800, + "bigoplus": 24801, + "uminous": 24802, + "eclampsia": 24803, + "ĠCult": 24804, + "ECH": 24805, + "atology": 24806, + "Ġji": 24807, + "cryp": 24808, + "ĠAspects": 24809, + "eni": 24810, + "Ġsemis": 24811, + "IRS": 24812, + "ĠPho": 24813, + "encoding": 24814, + "ĠJustice": 24815, + "ococci": 24816, + "Ġhypothalamic": 24817, + "ractable": 24818, + "ĠOrb": 24819, + "Simons": 24820, + "Ġmanipulated": 24821, + "attribute": 24822, + "onov": 24823, + "orously": 24824, + "endar": 24825, + "uder": 24826, + "insert": 24827, + "Ġlysed": 24828, + "ĠHodge": 24829, + "Ġfootballer": 24830, + "Device": 24831, + "ĠLeast": 24832, + "Ġstratum": 24833, + "Ġmitral": 24834, + "Ġsell": 24835, + "ĠMuc": 24836, + "glycer": 24837, + "oj": 24838, + "Ġpathogenicity": 24839, + "ĠDeclaration": 24840, + "opause": 24841, + "ĠArticle": 24842, + "Ġrinsed": 24843, + "ĠLévy": 24844, + "rement": 24845, + "Ġants": 24846, + "ĠDic": 24847, + "ĠkPa": 24848, + "urry": 24849, + "motion": 24850, + "client": 24851, + "Ġaccessory": 24852, + "Ġdepolarization": 24853, + "namely": 24854, + "Ġdisparities": 24855, + "Ġfavourable": 24856, + "ĠTibet": 24857, + "Ġoocyte": 24858, + "istration": 24859, + "Ġunresolved": 24860, + "criptive": 24861, + "physics": 24862, + "Ġbenzo": 24863, + "Ġcrystallinity": 24864, + "Ġpayoff": 24865, + "Ġumbilical": 24866, + "osil": 24867, + "ĠSystemic": 24868, + "ĠSTM": 24869, + "Ġstabilizer": 24870, + "USA": 24871, + "ĠJensen": 24872, + "Aug": 24873, + "ĠHat": 24874, + "AGG": 24875, + "underbrace": 24876, + "Ġmanipulations": 24877, + "ĠManc": 24878, + "nedy": 24879, + "Ġscratch": 24880, + "Cherry": 24881, + "osaccharides": 24882, + "Ġprecipitate": 24883, + "quarters": 24884, + "icul": 24885, + "Ġoptimally": 24886, + "many": 24887, + "Ġneoplasms": 24888, + "Ġinward": 24889, + "aryng": 24890, + "Ġmoll": 24891, + "ĠWel": 24892, + "ĠWiley": 24893, + "Ġnewspaper": 24894, + "Ġinhabitants": 24895, + "ĠSuccess": 24896, + "Ġbridging": 24897, + "Ġdisconnected": 24898, + "Ġhygiene": 24899, + "Dist": 24900, + "Ġscripts": 24901, + "Ġmesoporous": 24902, + "Ġrestricts": 24903, + "actone": 24904, + "Ġaquifer": 24905, + "ĠïĤ·": 24906, + "Ġplex": 24907, + "Ġpresumed": 24908, + "Ġips": 24909, + "ĠMilitary": 24910, + "Ġjudged": 24911, + "Ġald": 24912, + "Ġsequest": 24913, + "compared": 24914, + "ULATION": 24915, + "adapted": 24916, + "Ġinstructed": 24917, + "pulse": 24918, + "Ġcusp": 24919, + "matching": 24920, + "carrier": 24921, + "Ġenforce": 24922, + "ĠInterview": 24923, + "ometrics": 24924, + "Ġnullptr": 24925, + "Ġflavour": 24926, + "ĠPareto": 24927, + "ĠBER": 24928, + "Ġuv": 24929, + "Ġcrash": 24930, + "ĠCann": 24931, + "ĠMineral": 24932, + "ĠOlympic": 24933, + "Ġpolycrystalline": 24934, + "lett": 24935, + "Tables": 24936, + "requent": 24937, + "Ġsedentary": 24938, + "unsaturated": 24939, + "ĠBernoulli": 24940, + "Ġadmissions": 24941, + "itorial": 24942, + 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+ "vasion": 27289, + "Ġparaformaldehyde": 27290, + "abinoid": 27291, + "cpy": 27292, + "proxim": 27293, + "Ġenamel": 27294, + "Ġpaediatric": 27295, + "ĠChildhood": 27296, + "Ġpectin": 27297, + "ofilm": 27298, + "Ġcarboxylic": 27299, + "Ġausten": 27300, + "Ġunequal": 27301, + "ĠCountry": 27302, + "Ġiterated": 27303, + "Ġflanking": 27304, + "Ġtraction": 27305, + "anson": 27306, + "iscus": 27307, + "ĠDavies": 27308, + "raham": 27309, + "terozoic": 27310, + "ĠBrass": 27311, + "Oc": 27312, + "Ġunification": 27313, + "meter": 27314, + "ĠNeon": 27315, + "building": 27316, + "icting": 27317, + "Ġjustification": 27318, + "Prior": 27319, + "Ġfirms": 27320, + "Ġeducated": 27321, + "Ġintersecting": 27322, + "Ġboosting": 27323, + "Pass": 27324, + "member": 27325, + "contains": 27326, + "rano": 27327, + "relax": 27328, + "ĠCollaborative": 27329, + "Ġpx": 27330, + "Ġseeding": 27331, + "cripts": 27332, + "inez": 27333, + "omeres": 27334, + "Ġsiblings": 27335, + "anging": 27336, + "fert": 27337, + "Ġrecovering": 27338, + "pure": 27339, + "Ġsd": 27340, + "ĠVul": 27341, + "pedance": 27342, + "Ġfighting": 27343, + "Super": 27344, + "ĠIto": 27345, + "Ġperimeter": 27346, + "ĠInhibitors": 27347, + "electrode": 27348, + "enabled": 27349, + "fb": 27350, + "ĠPCs": 27351, + "Ġnausea": 27352, + "ĠConversion": 27353, + "Ġsla": 27354, + "Ġinvertebrates": 27355, + "ĠBrian": 27356, + "Ġcontiguous": 27357, + "ĠACKNOWLEDGM": 27358, + "urface": 27359, + "Ġcoars": 27360, + "ĠLeh": 27361, + "ĠCompression": 27362, + "cycles": 27363, + "Ġsinh": 27364, + "ĠOccup": 27365, + "strength": 27366, + "Ġconstr": 27367, + "Ġpesticide": 27368, + "Ġbisp": 27369, + "ĠTn": 27370, + "Ġparentheses": 27371, + "degrad": 27372, + "Ġhyperglycemia": 27373, + "PW": 27374, + "kj": 27375, + "ecological": 27376, + "Ġthy": 27377, + "Ġeleg": 27378, + "ĠSynaptic": 27379, + "scaled": 27380, + "tity": 27381, + "Ġequity": 27382, + "Ġblockchain": 27383, + "ĠLithium": 27384, + "Ġspark": 27385, + "Ġentitled": 27386, + "Ġconventions": 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"erahertz": 27435, + "ĠSaturn": 27436, + "LN": 27437, + "Unit": 27438, + "ĥĹ": 27439, + "Ġbinder": 27440, + "INFO": 27441, + "ĠTemper": 27442, + "ipel": 27443, + "Ġnumerator": 27444, + "Ġwebsites": 27445, + "Ġthreatened": 27446, + "Ġremnants": 27447, + "ĠFinnish": 27448, + "hof": 27449, + "media": 27450, + "concentration": 27451, + "ĠReed": 27452, + "ĠLeishmania": 27453, + "Ġmultifunctional": 27454, + "racy": 27455, + "Ġdistribute": 27456, + "ĠDecay": 27457, + "Ġgrinding": 27458, + "Loss": 27459, + "MPL": 27460, + "ĠLakes": 27461, + "ĠQR": 27462, + "ĠStructured": 27463, + "ĠMalaria": 27464, + "Ġflavonoid": 27465, + "Ġtowns": 27466, + "opia": 27467, + "ĠVec": 27468, + "othy": 27469, + "Ġsingles": 27470, + "Ġpenetrate": 27471, + "ĠPig": 27472, + "ieved": 27473, + "Ġderivations": 27474, + "Ġdiscomfort": 27475, + "afenib": 27476, + "ĠLegendre": 27477, + "ĠPax": 27478, + "ĠMX": 27479, + "ĠExtrem": 27480, + "ĠForeign": 27481, + "ĠCourse": 27482, + "ĠHit": 27483, + "vage": 27484, + "Ġclique": 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"purpose": 27586, + "Ġhunting": 27587, + "CPU": 27588, + "ĠJunior": 27589, + "REL": 27590, + "Ġcontractile": 27591, + "Ġsilicone": 27592, + "adrenergic": 27593, + "bz": 27594, + "Ġfus": 27595, + "ifted": 27596, + "sep": 27597, + "âĪĴâĪŀ": 27598, + "Ġdrum": 27599, + "----------": 27600, + "ĠTregs": 27601, + "itarian": 27602, + "century": 27603, + "âĬ¥": 27604, + "Numer": 27605, + "ĠBenz": 27606, + "Ġcommunicating": 27607, + "Ġpaternal": 27608, + "ĠFGFR": 27609, + "ĠâĤ¬": 27610, + "Ġdeviate": 27611, + "fre": 27612, + "Ġmolten": 27613, + "Ġstandardization": 27614, + "Ġfunctionalities": 27615, + "ĠPaulo": 27616, + "Ġbucket": 27617, + "ĠConcentrations": 27618, + "ĠKum": 27619, + "Ġmimicking": 27620, + "Drop": 27621, + "zoa": 27622, + "ĠNuclei": 27623, + "brack": 27624, + "ecolor": 27625, + "Ġcarn": 27626, + "Ġveterinary": 27627, + "Ġchemotherapeutic": 27628, + "Ġferment": 27629, + "lasting": 27630, + "ĠRogers": 27631, + "ieri": 27632, + "Ġconverters": 27633, + 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"Ġcfg": 27682, + "μL": 27683, + "Gordon": 27684, + "SK": 27685, + "Ġnations": 27686, + "Query": 27687, + "Ùħ": 27688, + "Ġfores": 27689, + "requencies": 27690, + "ĠPharmaceutical": 27691, + "ĠAllocation": 27692, + "otypical": 27693, + "ĠPilot": 27694, + "thora": 27695, + "ĠVand": 27696, + "Ġsyringe": 27697, + "ĠRAP": 27698, + "rometric": 27699, + "Ġïģ´": 27700, + "Ġcitations": 27701, + "would": 27702, + "Ġnortheastern": 27703, + "comparison": 27704, + "locus": 27705, + "ethe": 27706, + "ĠKB": 27707, + "Ġhomologs": 27708, + "Ġencephalitis": 27709, + "Ġzig": 27710, + "Ġincentive": 27711, + "Ġconfidential": 27712, + "Ġvestibular": 27713, + "ĠOTUs": 27714, + "Ġsynovial": 27715, + "ĠRelativity": 27716, + "Ġsubdivided": 27717, + "chez": 27718, + "Ġlikewise": 27719, + "ĠPDMS": 27720, + "ĠÅł": 27721, + "Ġsocieties": 27722, + "ocyanate": 27723, + "gia": 27724, + "Ġlocalize": 27725, + "Ġlactation": 27726, + "Ġnodule": 27727, + "ĠCOR": 27728, + "Ġharboring": 27729, + "ĠEQU": 27730, + "harvest": 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"magnitude": 27781, + "Ġdl": 27782, + "Vertex": 27783, + "mont": 27784, + "Ġfemtosecond": 27785, + "Params": 27786, + "Ġlysate": 27787, + "ishers": 27788, + "ĠPAT": 27789, + "ĠKev": 27790, + "ĠKnock": 27791, + "Ġgroove": 27792, + "Lu": 27793, + "ĠJohann": 27794, + "Ġreplica": 27795, + "ĠMATERIALS": 27796, + "Ġlots": 27797, + "Ġgenerically": 27798, + "ĠAltered": 27799, + "ĠIdentity": 27800, + "Ġunfolded": 27801, + "CES": 27802, + "ingular": 27803, + "ĠFraction": 27804, + "ĠProliferation": 27805, + "ĠVienna": 27806, + "acia": 27807, + "pless": 27808, + "ĠSevent": 27809, + "Ġturbines": 27810, + "lysine": 27811, + "Ġperoxis": 27812, + "ARP": 27813, + "ĠEpis": 27814, + "ĠSYBR": 27815, + "Builder": 27816, + "Ġspherically": 27817, + "Ġdefend": 27818, + "Performance": 27819, + "Ġmortar": 27820, + "ĠConcepts": 27821, + "works": 27822, + "Ġreinforce": 27823, + "á¹": 27824, + "Ġcus": 27825, + "ĠCIF": 27826, + "ĠAgricultural": 27827, + "crystalline": 27828, + "rish": 27829, + "Ġreferenced": 27830, + "Ġactress": 27831, + "Ġboundedness": 27832, + "SiC": 27833, + "Ġâ": 27834, + "Ġjack": 27835, + "Ġterminate": 27836, + "ĠJA": 27837, + "ĠKrish": 27838, + "MMP": 27839, + "kx": 27840, + "ĠPSR": 27841, + "endl": 27842, + "WHO": 27843, + "ĠSão": 27844, + "ĠCultural": 27845, + "ĠEh": 27846, + "ulis": 27847, + "vik": 27848, + "prises": 27849, + "ixel": 27850, + "ĠMetrics": 27851, + "Ġdiscontinuities": 27852, + "ĠUne": 27853, + "SCR": 27854, + "Ġprojecting": 27855, + "ĠOriginal": 27856, + "ĠHumans": 27857, + "transcriptional": 27858, + "HK": 27859, + "ĠJain": 27860, + "atisfaction": 27861, + "mesenchymal": 27862, + "Ġpyramid": 27863, + "Ġascorbic": 27864, + "game": 27865, + "Ġnoun": 27866, + "otoxins": 27867, + "peptide": 27868, + "Ġglassy": 27869, + "Ġtalking": 27870, + "Dem": 27871, + "ĠSchro": 27872, + "ĠAssumptions": 27873, + "Ġðx": 27874, + "Ġaneurysms": 27875, + "MASS": 27876, + "ĠHou": 27877, + "exposure": 27878, + "ĠLLC": 27879, + "Ġnoises": 27880, + "CTG": 27881, + "ĠElementary": 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"ĠPrimer": 29382, + "Ġsinks": 29383, + "Ġgaussian": 29384, + "ĠKhal": 29385, + "Enc": 29386, + "ĠAnopheles": 29387, + "Thanks": 29388, + "Ġconstrued": 29389, + "ĠUSS": 29390, + "ĠZeeman": 29391, + "Ġexported": 29392, + "ĠLevi": 29393, + "Ġcommander": 29394, + "connect": 29395, + "Ġnomenclature": 29396, + "therefore": 29397, + "ulata": 29398, + "Ġentrepreneur": 29399, + "Ġneuroscience": 29400, + "zan": 29401, + "Ġextant": 29402, + "ATIVE": 29403, + "opez": 29404, + "Ġenforced": 29405, + "ĠInnovation": 29406, + "earance": 29407, + "Ġimpressive": 29408, + "ĠPlac": 29409, + "ĠMoz": 29410, + "ĠStark": 29411, + "Ġrival": 29412, + "ĠCapital": 29413, + "Ġgranularity": 29414, + "Ġdiaphragm": 29415, + "utaneous": 29416, + "inds": 29417, + "Ġphotograph": 29418, + "Ġrectangles": 29419, + "TGF": 29420, + "Ġseaf": 29421, + "Ġmaze": 29422, + "ĠHW": 29423, + "Ġcorrelators": 29424, + "Ġdistinguishable": 29425, + "Ġconfounders": 29426, + "Ġlandslide": 29427, + "Ġtoll": 29428, + "Ġwastes": 29429, + 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30275, + "Ġupcoming": 30276, + "Ġvirgin": 30277, + "Names": 30278, + "ĠRyd": 30279, + "Ġâݤ": 30280, + "phosphorylation": 30281, + "renewal": 30282, + "Year": 30283, + "Init": 30284, + "Ġselling": 30285, + "ĠMASS": 30286, + "rophin": 30287, + "ijn": 30288, + "Conversely": 30289, + "Ġuniversally": 30290, + "orhombic": 30291, + "Ġunpredictable": 30292, + "Fock": 30293, + "chair": 30294, + "ivas": 30295, + "networks": 30296, + "Ġterritories": 30297, + "thia": 30298, + "ĠAmplification": 30299, + "March": 30300, + "Ġflam": 30301, + "ĠChart": 30302, + "Ġshortage": 30303, + "AMET": 30304, + "Ġgrape": 30305, + "Ġvoltammetry": 30306, + "د": 30307, + "ĠSCH": 30308, + "Ġepithel": 30309, + "ĠChromosome": 30310, + "ĠXL": 30311, + "ĠPersistent": 30312, + "Ġtraveled": 30313, + "Ġmeridional": 30314, + "Ġfprintf": 30315, + "Ġgum": 30316, + "visory": 30317, + "Unfortunately": 30318, + "Ġanteced": 30319, + "Ġfrictional": 30320, + "DAT": 30321, + "acl": 30322, + "ĠPregnancy": 30323, + "ĠBZ": 30324, + "regulatory": 30325, + "stimulating": 30326, + "Japan": 30327, + "machine": 30328, + "uti": 30329, + "ĠLer": 30330, + "Ġnanoflu": 30331, + "prototype": 30332, + "identification": 30333, + "klahoma": 30334, + "ĠEmploy": 30335, + "Schwarz": 30336, + "Ġincorrectly": 30337, + "atto": 30338, + "rization": 30339, + "ismuth": 30340, + "Ġiris": 30341, + "imentary": 30342, + "Ġinflationary": 30343, + "Ġoutflows": 30344, + "ĠLic": 30345, + "oreductase": 30346, + "Ġproceeding": 30347, + "ĠTAC": 30348, + "ĠHTL": 30349, + "Ġresides": 30350, + "stral": 30351, + "ĠTransf": 30352, + "Ġdichotom": 30353, + "Filter": 30354, + "June": 30355, + "isure": 30356, + "ĠAde": 30357, + "Ġijk": 30358, + "ĠPhilos": 30359, + "Ġstayed": 30360, + "Ġtamoxifen": 30361, + "Ġasparagine": 30362, + "exception": 30363, + "Ġaccumulating": 30364, + "astro": 30365, + "Change": 30366, + "uzi": 30367, + "Ġlon": 30368, + "Instead": 30369, + "Ġcentrally": 30370, + "ĠDental": 30371, + "classified": 30372, + "ĠEgyptian": 30373, + "Address": 30374, + "ĠQuaternary": 30375, + "ĠUSP": 30376, + "coin": 30377, + "Ġembryogenesis": 30378, + "ïĢ¨": 30379, + "Null": 30380, + "ĠMixing": 30381, + "intensive": 30382, + "Ġnormative": 30383, + "ĠLef": 30384, + "Ġrumen": 30385, + "ĠThai": 30386, + "Ġswallow": 30387, + "Component": 30388, + "Ġrobotics": 30389, + "ĠCad": 30390, + "ĠCIP": 30391, + "ĠAcids": 30392, + "ĠOffic": 30393, + "urer": 30394, + "ĠWick": 30395, + "Ġkink": 30396, + "ĠScha": 30397, + "ĠCharacteristic": 30398, + "families": 30399, + "ĠGCs": 30400, + "ĠOptimizing": 30401, + "Ġtimer": 30402, + "él": 30403, + "jin": 30404, + "reversal": 30405, + "Ġsandstone": 30406, + "HN": 30407, + "tk": 30408, + "Ġptr": 30409, + "Ġmonochromatic": 30410, + "Ġfeedforward": 30411, + "dington": 30412, + "Ġcriticism": 30413, + "Ġsig": 30414, + "Ġpace": 30415, + "ĠTK": 30416, + "ĠWas": 30417, + "Ġcertificate": 30418, + "Ġstuck": 30419, + "Ġcorrid": 30420, + "Ġlocalisation": 30421, + "Ġsilk": 30422, + "Ġdigest": 30423, + "ĠTemple": 30424, + "ĠPosterior": 30425, + "Ġcommutator": 30426, + "tsch": 30427, + "perme": 30428, + "ysed": 30429, + "Ġmenu": 30430, + "Ġmidw": 30431, + "ocatalytic": 30432, + "Ġppb": 30433, + "Types": 30434, + "arri": 30435, + "ĠLOD": 30436, + "Ġloan": 30437, + "secret": 30438, + "Ġcarbons": 30439, + "ĠHolog": 30440, + "olipids": 30441, + "Ġuplo": 30442, + "ĠDNase": 30443, + "Ġpuzzle": 30444, + "Ġstance": 30445, + "ĠManchester": 30446, + "ĠDetector": 30447, + "ims": 30448, + "ĠTerms": 30449, + "ĠPGC": 30450, + "Ġincidents": 30451, + "ieh": 30452, + "ĠIDs": 30453, + "ĠAhmad": 30454, + "Ġnights": 30455, + "Ġbiomo": 30456, + "ĠMethylation": 30457, + "uator": 30458, + "resize": 30459, + "ĠFinger": 30460, + "ĠWo": 30461, + "Ġposter": 30462, + "Ġsolidification": 30463, + "ĠValidity": 30464, + "ĠDendritic": 30465, + "Ġadherent": 30466, + "issions": 30467, + "inction": 30468, + "Ġantagonistic": 30469, + "ĠPreliminaries": 30470, + "Ġcoval": 30471, + "Ġmovies": 30472, + "Ġbudding": 30473, + "Kn": 30474, 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"Ġoutage": 30624, + "ĠScholar": 30625, + "placing": 30626, + "ĠPolyp": 30627, + "Decl": 30628, + "ĠMEDLINE": 30629, + "ĠKM": 30630, + "ĠDAP": 30631, + "errors": 30632, + "ĠSHR": 30633, + "ĠDex": 30634, + "ĠGAS": 30635, + "ĠGian": 30636, + "Ġclinicopathological": 30637, + "Ġïģ·": 30638, + "ĠPredictions": 30639, + "ĠQuadratic": 30640, + "Ġarrhythmias": 30641, + "arid": 30642, + "Ġclothing": 30643, + "ĠFracture": 30644, + "ĉĠĠĠĠĠ": 30645, + "addy": 30646, + "ĠAlberta": 30647, + "ĠWed": 30648, + "phire": 30649, + "ĠEncryp": 30650, + "ĠLAB": 30651, + "ĠFano": 30652, + "CTT": 30653, + "Ġoryz": 30654, + "iliac": 30655, + "ĠLiao": 30656, + "versus": 30657, + "Ġmeso": 30658, + "Ġmidpoint": 30659, + "Ġstator": 30660, + "ĠJenn": 30661, + "ovsky": 30662, + "Ġuncover": 30663, + "erenn": 30664, + "ĠMcM": 30665, + "âīĪ": 30666, + "ĠCircuits": 30667, + "Ġfetuses": 30668, + "Ġagglomer": 30669, + "Ġfb": 30670, + "Ġyy": 30671, + "atech": 30672, + "ARG": 30673, + "Ġbaumannii": 30674, + "Ġellipsoid": 30675, + "Ġloses": 30676, + "Ġunve": 30677, + "Ġbutt": 30678, + "Ġmulticentre": 30679, + "iline": 30680, + "Ġresort": 30681, + "Ġcerebrovascular": 30682, + "ĠDecreased": 30683, + "jud": 30684, + "sus": 30685, + "amol": 30686, + "constraints": 30687, + "Ġteen": 30688, + "ĠPassive": 30689, + "ĠCaucasian": 30690, + "Ġcran": 30691, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 30692, + "ün": 30693, + "ĠDNMT": 30694, + "Ġterror": 30695, + "adrenal": 30696, + "Ġangiogenic": 30697, + "ĠInhibitory": 30698, + "prag": 30699, + "Ġcob": 30700, + "elsh": 30701, + "Ġenhancements": 30702, + "ĠShaw": 30703, + "ĠTakahashi": 30704, + "Ġsulphur": 30705, + "Ġgravitation": 30706, + "ĠPVDF": 30707, + "must": 30708, + "¢": 30709, + "asymptotic": 30710, + "elman": 30711, + "ĠPros": 30712, + "ĠMAD": 30713, + "ĠLen": 30714, + "therapy": 30715, + "efully": 30716, + "sulfur": 30717, + "ĠTCA": 30718, + "additive": 30719, + "talk": 30720, + "Ġpiglets": 30721, + "Ġprospect": 30722, + "ecundity": 30723, + "ĠXiang": 30724, + "handler": 30725, + "Ġclath": 30726, + "Ġmillimeter": 30727, + "jar": 30728, + "Ġbiophysical": 30729, + "Ġcomplexities": 30730, + "ĠHerb": 30731, + "Ġrecovers": 30732, + "ĠVincent": 30733, + "ĠPuerto": 30734, + "Earth": 30735, + "RAM": 30736, + "Ġcables": 30737, + "designed": 30738, + "ĠOscillation": 30739, + "Ġmeiosis": 30740, + "Ġfleet": 30741, + "ĠHuntington": 30742, + "ĠBeg": 30743, + "ĠECs": 30744, + "ĠAntic": 30745, + "Ġpractitioner": 30746, + "cultural": 30747, + "kat": 30748, + "Ġrecoil": 30749, + "ĠImplicit": 30750, + "Ġsummaries": 30751, + "Ġdiscontinued": 30752, + "Ġencompassing": 30753, + "ĠAltogether": 30754, + "ĠDIST": 30755, + "Ġconstellation": 30756, + "ĠExisting": 30757, + "Ġconductors": 30758, + "oplasm": 30759, + "ĠCosmology": 30760, + "Zero": 30761, + "ĠInform": 30762, + "Ġendangered": 30763, + "Ġweapons": 30764, + "atype": 30765, + "ĠAsc": 30766, + "Ġfluence": 30767, + "Ġferric": 30768, + "ĠLaurent": 30769, + "Early": 30770, + "Ġsgn": 30771, + "ĠHadamard": 30772, + "Ġastron": 30773, + "Cys": 30774, + "ĠThm": 30775, + "Ġdece": 30776, + "erencing": 30777, + "ĠMeans": 30778, + "Ġhydrated": 30779, + "ÙĪ": 30780, + "Ġrigorously": 30781, + "Ġambulatory": 30782, + "ĠDOI": 30783, + "Handle": 30784, + "ĠEnterobacteriaceae": 30785, + "ĠRQ": 30786, + "ĠGFR": 30787, + "prote": 30788, + "Ġmigrated": 30789, + "thening": 30790, + "ĠHopkins": 30791, + "ĠPsychology": 30792, + "igl": 30793, + "ĠEDS": 30794, + "ĠâĪ¶": 30795, + "Ġremotely": 30796, + "ĠÂ¥": 30797, + "Ġinspiration": 30798, + "ĠâĮ¬": 30799, + "olian": 30800, + "Ġsaliency": 30801, + "ĠDog": 30802, + "ĠRosa": 30803, + "oya": 30804, + "Ġoccupies": 30805, + "camera": 30806, + "Ġdecompression": 30807, + "Ġscatt": 30808, + "Ġinvestigator": 30809, + "Ġcounterex": 30810, + "ĠIFNγ": 30811, + "ĠPittsburgh": 30812, + "Ġadminister": 30813, + "negl": 30814, + "ussis": 30815, + "MPC": 30816, + "ĠSwitching": 30817, + "Ġcooler": 30818, + "Ġbronchi": 30819, + "Ġparalle": 30820, + "Ġspeckle": 30821, + 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"imeters": 30872, + "ĠCec": 30873, + "ĠKH": 30874, + "castle": 30875, + "Ġseptal": 30876, + "releasing": 30877, + "Ġoss": 30878, + "Ġ¦": 30879, + "ĠMissing": 30880, + "ĠFatigue": 30881, + "ĠBaseball": 30882, + "Ġimmunoblotting": 30883, + "Ġoh": 30884, + "orations": 30885, + "Ġvine": 30886, + "azy": 30887, + "serum": 30888, + "Ġlookup": 30889, + "Ġneovascular": 30890, + "iah": 30891, + "soil": 30892, + "Ġairflow": 30893, + "ĠSloan": 30894, + "him": 30895, + "çļ": 30896, + "located": 30897, + "zantine": 30898, + "ĠSuccessful": 30899, + "eminal": 30900, + "ĠDimensional": 30901, + "ĠNSA": 30902, + "ĠLogistic": 30903, + "emetery": 30904, + "Ġbrak": 30905, + "antal": 30906, + "south": 30907, + "Ġprototypes": 30908, + "Ġadvised": 30909, + "Ġidealized": 30910, + "ophytic": 30911, + "nbsp": 30912, + "Binary": 30913, + "Hyp": 30914, + "Joh": 30915, + "polation": 30916, + "Ġpolyvinyl": 30917, + "estimated": 30918, + "Ġoxytocin": 30919, + "ĠLetter": 30920, + "ĠImpair": 30921, + "Ġenvelopes": 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"macroph": 30972, + "ĠPBMCs": 30973, + "ospheres": 30974, + "Ġcatastrophic": 30975, + "ĠNavigation": 30976, + "ĠLSD": 30977, + "Ġcream": 30978, + "Ġdereg": 30979, + "bonded": 30980, + "rents": 30981, + "Ġpotentiation": 30982, + "Ġstro": 30983, + "Ġsteeper": 30984, + "ulinum": 30985, + "Ġperiodontitis": 30986, + "arization": 30987, + "âĪª": 30988, + "amicin": 30989, + "Ġmagnetized": 30990, + "ĠNutritional": 30991, + "Ġaccord": 30992, + "gaard": 30993, + "FTIR": 30994, + "ramethyl": 30995, + "ĠGle": 30996, + "Mel": 30997, + "ĠCTL": 30998, + "Ġtranslating": 30999, + "Ġautoimmunity": 31000, + "olerant": 31001, + "triangleq": 31002, + "amo": 31003, + "Ġvel": 31004, + "ĠHCN": 31005, + "ĠHamming": 31006, + "ĠVenus": 31007, + "ĠGad": 31008, + "ĠOwing": 31009, + "Information": 31010, + "ĠSchemes": 31011, + "carotene": 31012, + "Its": 31013, + "anis": 31014, + "Ġreplay": 31015, + "Ġtouc": 31016, + "LECT": 31017, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 31018, + "Ġtabulated": 31019, + "ĠSchottky": 31020, + "Far": 31021, + "amation": 31022, + "ĠRies": 31023, + "Ġexpects": 31024, + "ĠInstability": 31025, + "Ġsons": 31026, + "Ġdeck": 31027, + "Ġïģ¥": 31028, + "ĠSignature": 31029, + "Ġlithosphere": 31030, + "WW": 31031, + "makers": 31032, + "ughters": 31033, + "Ġâİ¡": 31034, + "ardian": 31035, + "à¦": 31036, + "Ġaccepts": 31037, + "ĠOSA": 31038, + "Ġγδ": 31039, + "nonumber": 31040, + "Select": 31041, + "lite": 31042, + "ĠAqueous": 31043, + "agawa": 31044, + "ĠEdinburgh": 31045, + "ĠMembranes": 31046, + "ĠSIG": 31047, + "akia": 31048, + "Ġtestes": 31049, + "Ġheli": 31050, + "++++": 31051, + "Ġultrafast": 31052, + "Ġmaneuver": 31053, + "ĠDate": 31054, + "phin": 31055, + "ĠKad": 31056, + "Ġtransferase": 31057, + "Pers": 31058, + "Ġtones": 31059, + "ĠSGD": 31060, + "anto": 31061, + "ĠOrange": 31062, + "ĠGeography": 31063, + "ĠAccumulation": 31064, + "aty": 31065, + "Ġbeating": 31066, + "Ġoverlying": 31067, + "ĠNDVI": 31068, + "ĠTownship": 31069, + "jing": 31070, + "ĠNOS": 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"Ġcommissioned": 31271, + "poll": 31272, + "ydia": 31273, + "instead": 31274, + "Ġpassword": 31275, + "Ġcompliant": 31276, + "ĠPrecipitation": 31277, + "ophosphamide": 31278, + "usters": 31279, + "Ġpneumococcal": 31280, + "Ġtomographic": 31281, + "tidae": 31282, + "ĠFirmicutes": 31283, + "bw": 31284, + "ĠPDB": 31285, + "ĠGPUs": 31286, + "ĠPlanar": 31287, + "Ġverbose": 31288, + "Summary": 31289, + "lance": 31290, + "ĠEGFP": 31291, + "ongru": 31292, + "Complex": 31293, + "ĠWheat": 31294, + "uche": 31295, + "ĠMCA": 31296, + "ĠProjection": 31297, + "Ġstats": 31298, + "Ġsummand": 31299, + "dimethoxyphenyl": 31300, + "ĠABSTRACT": 31301, + "Ġcarotenoid": 31302, + "Ġbroke": 31303, + "ĠDesigning": 31304, + "ĠHetero": 31305, + "ĠCarlsbad": 31306, + "Cov": 31307, + "ineral": 31308, + "Ġanalyte": 31309, + "ĠColeman": 31310, + "Ġeigenstate": 31311, + "ĠHolland": 31312, + "ERSION": 31313, + "ĠDak": 31314, + "ellers": 31315, + "ĠÃĺ": 31316, + "missing": 31317, + "deposited": 31318, + "ĠLincoln": 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"ophysics": 31721, + "Ġfifteen": 31722, + "Åij": 31723, + "Ġreviewer": 31724, + "Ġskilled": 31725, + "Ġmagnetoresistance": 31726, + "Ġreconfiguration": 31727, + "Ġpoet": 31728, + "Ġpredetermined": 31729, + "Ġcryopres": 31730, + "Ġattractors": 31731, + "Ġprojectile": 31732, + "ĠCrystals": 31733, + "ĠMCM": 31734, + "ĠXanth": 31735, + "Ġclockwise": 31736, + "regnant": 31737, + "Ġgated": 31738, + "ryza": 31739, + "ĠProsp": 31740, + "adin": 31741, + "Ġmolybdenum": 31742, + "ĠAlps": 31743, + "ĠBald": 31744, + "Ġhalluc": 31745, + "udo": 31746, + "Ġmont": 31747, + "ĠFlash": 31748, + "Ġpulling": 31749, + "ĠLQ": 31750, + "ĠWalsh": 31751, + "ĠThomson": 31752, + "meson": 31753, + "Ġintercal": 31754, + "Ġelapsed": 31755, + "FFFF": 31756, + "ĠForecasting": 31757, + "à¯": 31758, + "ĠLSP": 31759, + "endorf": 31760, + "Ġxml": 31761, + "substrate": 31762, + "Mu": 31763, + "during": 31764, + "oconstr": 31765, + "EMA": 31766, + "Ġïĥ«": 31767, + "ĠDFS": 31768, + "ĠVon": 31769, + "Ġfathers": 31770, + 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"ĠHudson": 32225, + "emics": 32226, + "OAc": 32227, + "ourt": 32228, + "Ġrelic": 32229, + "ĠMixture": 32230, + "Ġcalorimeter": 32231, + "ĠRDF": 32232, + "ĠHodgkin": 32233, + "Newtonian": 32234, + "ĠDelayed": 32235, + "ĠNortheast": 32236, + "hering": 32237, + "Ġhelices": 32238, + "Ġprincipally": 32239, + "Ġsuspicion": 32240, + "Ġextremities": 32241, + "Ġdeadline": 32242, + "ĠEnterococcus": 32243, + "mj": 32244, + "Ġhp": 32245, + "ĠNAS": 32246, + "ouss": 32247, + "Ġintramuscular": 32248, + "LIN": 32249, + "Ġchicks": 32250, + "Score": 32251, + "Ġfür": 32252, + "ĠRSA": 32253, + "Ġkr": 32254, + "Ġphotography": 32255, + "Ġclearing": 32256, + "holomorphic": 32257, + "them": 32258, + "Ġpom": 32259, + "ĠLis": 32260, + "Ġdiscard": 32261, + "Ġguan": 32262, + "cx": 32263, + "ubov": 32264, + "ĠConsistency": 32265, + "Ġplei": 32266, + "ĠUrinary": 32267, + "Ġbreadth": 32268, + "EI": 32269, + "mechan": 32270, + "Ġdq": 32271, + "ĠBlast": 32272, + "coeff": 32273, + "ILD": 32274, + "Ġunemployment": 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"Ġreconstituted": 33111, + "sites": 33112, + "anabe": 33113, + "ĠComposites": 33114, + "Ġwildtype": 33115, + "Ġleukaemia": 33116, + "Ġmurder": 33117, + "Ġdentin": 33118, + "Hub": 33119, + "Orient": 33120, + "onn": 33121, + "synchron": 33122, + "Ġchronically": 33123, + "methyleneamino": 33124, + "Ġdopant": 33125, + "Ġfecundity": 33126, + "delete": 33127, + "remia": 33128, + "ĠNHL": 33129, + "itidis": 33130, + "Ġcopep": 33131, + "XI": 33132, + "Ġlocating": 33133, + "ĠZIKV": 33134, + "hexa": 33135, + "ĠFactorization": 33136, + "ynchus": 33137, + "Methyl": 33138, + "hagen": 33139, + "ĠPaw": 33140, + "neath": 33141, + "bsite": 33142, + "Ġtrache": 33143, + "Bre": 33144, + "uw": 33145, + "roit": 33146, + "Ġreacting": 33147, + "ĠBae": 33148, + "Ġquotients": 33149, + "Ġpins": 33150, + "ĠVARI": 33151, + "Ġequine": 33152, + "ĠRunge": 33153, + "Ġcolonial": 33154, + "measurement": 33155, + "ĠAbbott": 33156, + "Ġortho": 33157, + "Ġmetaphor": 33158, + "benzoic": 33159, + "ĠTransformers": 33160, + "Lower": 33161, + "ĠOVA": 33162, + "radial": 33163, + "Flag": 33164, + "authorbs": 33165, + "Ġtreadmill": 33166, + "Ġenterica": 33167, + "ĠJulia": 33168, + "Ġplumes": 33169, + "Ġinvoke": 33170, + "chloric": 33171, + "olino": 33172, + "Ġinterruption": 33173, + "subunit": 33174, + "ĠMDP": 33175, + "Ġmanipulator": 33176, + "ĠScales": 33177, + "ĠHTML": 33178, + "ĠFrederick": 33179, + "Garc": 33180, + "Ġbell": 33181, + "ĠRect": 33182, + "romised": 33183, + "Word": 33184, + "oples": 33185, + "operated": 33186, + "Ġcollects": 33187, + "ĠHorizon": 33188, + "Ġsafer": 33189, + "dup": 33190, + "ĠMills": 33191, + "ALP": 33192, + "Ġexopl": 33193, + "ATTR": 33194, + "wara": 33195, + "ĉĉĉĉĉĉĉ": 33196, + "Ġdebug": 33197, + "Descriptor": 33198, + "statistics": 33199, + "ĠCub": 33200, + "STER": 33201, + "ĠStabilization": 33202, + "ĠIRAS": 33203, + "Ġconformally": 33204, + "Adap": 33205, + "ÂŃ": 33206, + "ĠQS": 33207, + "Ġmicrostrip": 33208, + "Ġdelicate": 33209, + "Ġpublisher": 33210, + "Ġhos": 33211, + "ĠSv": 33212, + "ĠDesert": 33213, + "ĠGuer": 33214, + "ĠCapture": 33215, + "EBP": 33216, + "dust": 33217, + "å¤": 33218, + "ĠOls": 33219, + "Ġsuperscript": 33220, + "ĠFluctuations": 33221, + "illium": 33222, + "Ġcaption": 33223, + "Ġconcur": 33224, + "Ġquantifies": 33225, + "sterdam": 33226, + "Ġspiked": 33227, + "Nan": 33228, + "usin": 33229, + "ĠLAN": 33230, + "Ġobserves": 33231, + "ĠAla": 33232, + "ĠIntuitively": 33233, + "curr": 33234, + "Ġshrinking": 33235, + "Ġcompressibility": 33236, + "orporeal": 33237, + "Ġdebt": 33238, + "çĶ": 33239, + "ĠTil": 33240, + "ĠWAT": 33241, + "odyne": 33242, + "Ġgateway": 33243, + "Ġductile": 33244, + "ĠJesus": 33245, + "ositol": 33246, + "ĠMales": 33247, + "Ġsolvation": 33248, + "Ġdisagree": 33249, + "Ġorthologs": 33250, + "San": 33251, + "igo": 33252, + "Ġphages": 33253, + "Ġnegatives": 33254, + "Ġinterpre": 33255, + "AAA": 33256, + "Ġgratings": 33257, + "ĠMoll": 33258, + "ĠRivers": 33259, + "Ġcruzi": 33260, + "ĠGenerate": 33261, + "ĠBarbara": 33262, + "ĠHeritage": 33263, + "ĠFluorescent": 33264, + "ĠLaws": 33265, + "ArrayExpr": 33266, + "Ġmultipole": 33267, + "Ġsqueezing": 33268, + "SPSS": 33269, + "lf": 33270, + "nlm": 33271, + "Ġworn": 33272, + "ĠKuz": 33273, + "Ġgenesis": 33274, + "ĠEmperor": 33275, + "volatile": 33276, + "Ġsibling": 33277, + "ivir": 33278, + "oen": 33279, + "Ġprotost": 33280, + "Ġtransformers": 33281, + "ennium": 33282, + "Ġproposing": 33283, + "Ġbroadcasting": 33284, + "QM": 33285, + "ĠDependent": 33286, + "Ġdisable": 33287, + "ĠUAS": 33288, + "Ġwarnings": 33289, + "Ġarmed": 33290, + "Ġjournalist": 33291, + "Ġmonoclinic": 33292, + "olium": 33293, + "aping": 33294, + "toon": 33295, + "Ġorthodontic": 33296, + "ĠNormalization": 33297, + "Ġmandible": 33298, + "aban": 33299, + "ĠWak": 33300, + "extend": 33301, + "Multiple": 33302, + "investig": 33303, + "iscal": 33304, + "uttered": 33305, + "Ġburg": 33306, + "decode": 33307, + "empor": 33308, + "ĠDuration": 33309, + "anny": 33310, + "oprost": 33311, + "ĠRenormalization": 33312, + "ĠFUNCTION": 33313, + "ytorch": 33314, + "Ġsynapt": 33315, + "ĠFormat": 33316, + "ĠCRT": 33317, + "ĠJonathan": 33318, + "ĠOFF": 33319, + "orr": 33320, + "Ġresur": 33321, + "Ġcorruption": 33322, + "dwelling": 33323, + "Ġbackup": 33324, + "AGT": 33325, + "ĠSafe": 33326, + "dorfer": 33327, + "Ġataxia": 33328, + "Ġparv": 33329, + "reader": 33330, + "Ġsubtract": 33331, + "embolism": 33332, + "Ġtinnitus": 33333, + "Ġcytomegalovirus": 33334, + "Ġdeleting": 33335, + "Tex": 33336, + "ĠCSS": 33337, + "ardt": 33338, + "Ġoutgrowth": 33339, + "Ġmyocytes": 33340, + "digital": 33341, + "Ġsubscale": 33342, + "uspension": 33343, + "Ġhamster": 33344, + "Ġinflaton": 33345, + "hara": 33346, + "urches": 33347, + "ĠCLE": 33348, + "ĠYas": 33349, + "ĠEncoding": 33350, + "ĠAuger": 33351, + "Ġanastomosis": 33352, + "Agent": 33353, + "ĠSIL": 33354, + "ĠCCT": 33355, + "Ġbrine": 33356, + "Ġoligo": 33357, + "Ġfluoro": 33358, + "Ġgallery": 33359, + "ddots": 33360, + "Ġcilia": 33361, + "ĠPPV": 33362, + "ĠUTR": 33363, + "Ġintertidal": 33364, + "ocalized": 33365, + "Ġcrowds": 33366, + "odor": 33367, + "Ġcov": 33368, + "Ġnonetheless": 33369, + "Ġïģ¤": 33370, + "Ġboosted": 33371, + "ĠChakra": 33372, + "Hal": 33373, + "Pear": 33374, + "Ġimprec": 33375, + "ĠSupplement": 33376, + "goal": 33377, + "Ġôı¼ģ": 33378, + "Ġstall": 33379, + "Ġherd": 33380, + "smaller": 33381, + "Ġreconstructing": 33382, + "Ġartefacts": 33383, + "Ġteg": 33384, + "conventional": 33385, + "radical": 33386, + "Ġliteral": 33387, + "framework": 33388, + "iprocal": 33389, + "EEG": 33390, + "Ġgins": 33391, + "odermal": 33392, + "ĠAgu": 33393, + "ĠTwelve": 33394, + "Mul": 33395, + "ب": 33396, + "irl": 33397, + "ĠBelief": 33398, + "Ġincont": 33399, + "ICC": 33400, + "hexane": 33401, + "Ġejected": 33402, + "ĠPSC": 33403, + "ĠHPC": 33404, + "ĠVH": 33405, + "Ġequivalences": 33406, + "plotlib": 33407, + "enital": 33408, + "rians": 33409, + "prov": 33410, + "ĠVibr": 33411, + "Ġgrammatical": 33412, + "bachia": 33413, + "acceptable": 33414, + "odicity": 33415, + "abb": 33416, + "Ġherbs": 33417, + "Ġpredominance": 33418, + "ĠOrientation": 33419, + "Ġinvertebrate": 33420, + "Ġpelagic": 33421, + "country": 33422, + "ĠOrigins": 33423, + "ĠAdolescents": 33424, + "ĠTuning": 33425, + "rainian": 33426, + "ĠScar": 33427, + "Ġlightest": 33428, + "Ġemitters": 33429, + "ĠTsai": 33430, + "ritical": 33431, + "ĠExpert": 33432, + "authors": 33433, + "ECTION": 33434, + "ĠSeverity": 33435, + "Nam": 33436, + "publ": 33437, + "ĠAbe": 33438, + "Ġnanocrystalline": 33439, + "ĠNakamura": 33440, + "ĠPec": 33441, + "ĠBug": 33442, + "Ġsensed": 33443, + "ONS": 33444, + "ICs": 33445, + "Ġelectrochem": 33446, + "ĠROM": 33447, + "ĠRecruitment": 33448, + "Ġ⣩": 33449, + "Ġbiomolecules": 33450, + "ĠBrac": 33451, + "Ġtransposition": 33452, + "ĠWP": 33453, + "ĠOmega": 33454, + "Ġdiagon": 33455, + "platelet": 33456, + "JM": 33457, + "acre": 33458, + "ĠASR": 33459, + "ĠKath": 33460, + "Ġpriv": 33461, + "oplasts": 33462, + "Samples": 33463, + "dF": 33464, + "atti": 33465, + "ĠSanger": 33466, + "ipitated": 33467, + "Ġricher": 33468, + "ĠGRA": 33469, + "Ġplantar": 33470, + "Ġfoams": 33471, + "Ġmathematic": 33472, + "Ġstaphyl": 33473, + "ĠUptake": 33474, + "Ġcant": 33475, + "ĠSZ": 33476, + "Ġdismiss": 33477, + "Ġselections": 33478, + "plitz": 33479, + "Ġexemplified": 33480, + "Ġtorsional": 33481, + "Ev": 33482, + "Ġvoters": 33483, + "ĠNest": 33484, + "yscale": 33485, + "Ġspeci": 33486, + "Ġpolished": 33487, + "Ġlatencies": 33488, + "qing": 33489, + "Ġonwards": 33490, + "llvm": 33491, + "theorem": 33492, + "logging": 33493, + "ĠALK": 33494, + "ĠBaum": 33495, + "ĠGhosh": 33496, + "Ġchairman": 33497, + "paired": 33498, + "ĠPAP": 33499, + "notes": 33500, + "olesterolem": 33501, + "Ġestuarine": 33502, + "ĠTibetan": 33503, + "ĠVER": 33504, + "Ġchecker": 33505, + "FLAGS": 33506, + "rolimus": 33507, + "ĠMutant": 33508, + "Ġspraying": 33509, + "ĠChest": 33510, + "olinium": 33511, + "ĠTriassic": 33512, + "Ġlidar": 33513, + "Art": 33514, + "ĠMilk": 33515, + "Ġindecomposable": 33516, + "Ġrocket": 33517, + "ĠPartners": 33518, + "Ġsemantically": 33519, + "entinel": 33520, + "Large": 33521, + "Pen": 33522, + "ĠTru": 33523, + "Ġheritage": 33524, + "ĠMutual": 33525, + "ĠChemotherapy": 33526, + "Ġdoubles": 33527, + "ĠEmbedded": 33528, + "itual": 33529, + "ĠBPA": 33530, + "Ġcholerae": 33531, + "ĠInside": 33532, + "ĠKatz": 33533, + "convergence": 33534, + "Ġindividualized": 33535, + "kinje": 33536, + "Ġdiscovering": 33537, + "Ġintricate": 33538, + "Ġinland": 33539, + "RECT": 33540, + "ĠChick": 33541, + "ĠSUR": 33542, + "Ġyeasts": 33543, + "luminosity": 33544, + "Ġfain": 33545, + "ioni": 33546, + "ĠTig": 33547, + "ounder": 33548, + "Ġdeliber": 33549, + "ĠConservative": 33550, + "ĠDelhi": 33551, + "BER": 33552, + "ĠYB": 33553, + "oley": 33554, + "ĠBeau": 33555, + "TEXT": 33556, + "Ġsqueezed": 33557, + "Ġsocket": 33558, + "ĠpT": 33559, + "pyrazol": 33560, + "coefficients": 33561, + "Ġrecruiting": 33562, + "Ġducts": 33563, + "Ġfoster": 33564, + "omeration": 33565, + "ĠPSI": 33566, + "ĠDup": 33567, + "Ġks": 33568, + "ĠOptics": 33569, + "Ġliterary": 33570, + "ĠNiO": 33571, + "ĠVEGFR": 33572, + "Ġgraviton": 33573, + "Ġutterances": 33574, + "Ġbrady": 33575, + "Ġforty": 33576, + "ĠTransplantation": 33577, + "Ġagreements": 33578, + "Leftrightarrow": 33579, + "waves": 33580, + "Ġacidosis": 33581, + "Ġwooden": 33582, + "ĠCytoplasmic": 33583, + "safe": 33584, + "Ġjumping": 33585, + "ennial": 33586, + "Various": 33587, + "ĠEryth": 33588, + "ulins": 33589, + "unlock": 33590, + "methylated": 33591, + "asserstein": 33592, + "Ġheterozygosity": 33593, + "oxycycl": 33594, + "Ġcreativity": 33595, + "MPLE": 33596, + "inative": 33597, + "Ġconvolutions": 33598, + "Ġnouns": 33599, + "egan": 33600, + "ĠAbraham": 33601, + "Ġdenser": 33602, + "Che": 33603, + "lc": 33604, + "ĉĉĉĠ": 33605, + "Ġsemim": 33606, + "ĠOuter": 33607, + "Ġcand": 33608, + "odule": 33609, + "esthesia": 33610, + "ĠJoy": 33611, + "ĠProtocols": 33612, + "ĠCalculated": 33613, + "atop": 33614, + "ĠFALSE": 33615, + "Ġrefin": 33616, + "Ġmigrants": 33617, + "ĠïĤ´": 33618, + "ĠSpecificity": 33619, + "ĠFellowship": 33620, + "ĠPMT": 33621, + "Ġdisclose": 33622, + "unches": 33623, + "Ġdiatoms": 33624, + "corr": 33625, + "Ġskyrm": 33626, + "Ġrenewal": 33627, + "gcd": 33628, + "cereb": 33629, + "Ġupright": 33630, + "Ġmesoscopic": 33631, + "hydraz": 33632, + "BAS": 33633, + "FLO": 33634, + "HCC": 33635, + "Mouse": 33636, + "Ġposet": 33637, + "Ġproteinuria": 33638, + "Ġreapp": 33639, + "ĠNickel": 33640, + "Ġstripes": 33641, + "Ġripple": 33642, + "September": 33643, + "odomain": 33644, + "ĠPope": 33645, + "ĠNons": 33646, + "Ġtechnic": 33647, + "Ġneutrop": 33648, + "descriptor": 33649, + "Ġdissipated": 33650, + "Ġglaciers": 33651, + "ĠHIGH": 33652, + "ĠLav": 33653, + "retely": 33654, + "Ġbackwards": 33655, + "Ġcritics": 33656, + "ĠExtending": 33657, + "bic": 33658, + "ĠChao": 33659, + "ofibr": 33660, + "Ġcounters": 33661, + "Ġstreets": 33662, + "Ġprosthetic": 33663, + "Ġbiodegradation": 33664, + "complexity": 33665, + "ĠSPL": 33666, + "ĠCAC": 33667, + "Ġadducts": 33668, + "Ġmorphometric": 33669, + "ĠMatt": 33670, + "Ġinducer": 33671, + "Ġastrocyte": 33672, + "Ġtriplets": 33673, + "Ġpertussis": 33674, + "PES": 33675, + "idy": 33676, + "uncertain": 33677, + "Ġhyperparameter": 33678, + "ĠInfrastructure": 33679, + "ìĿĺ": 33680, + "ZW": 33681, + "Ġaddr": 33682, + "Ġdisrupts": 33683, + "Ġoverestimate": 33684, + "ĠDYNA": 33685, + "Ġvolatiles": 33686, + "emerg": 33687, + "issue": 33688, + "cpp": 33689, + "Äħ": 33690, + "ĠVIP": 33691, + "Ġuve": 33692, + "ĠCNV": 33693, + "ylethyl": 33694, + "onazole": 33695, + "ĠHiro": 33696, + "Ġcn": 33697, + "tik": 33698, + "ubted": 33699, + "ĠJacobs": 33700, + "Ġadvocated": 33701, + "ĠBifid": 33702, + "material": 33703, + "Ġstyrene": 33704, + "ĠKeller": 33705, + "rocytic": 33706, + "pinephrine": 33707, + "ĠWritten": 33708, + "ĠRecommendation": 33709, + "bled": 33710, + "ĠBootstrap": 33711, + "thirds": 33712, + "Ġcaptain": 33713, + "equals": 33714, + "SRC": 33715, + "ĠKentucky": 33716, + "Ġeosinophils": 33717, + "Average": 33718, + "Hi": 33719, + "Whe": 33720, + "ĠDAT": 33721, + "ĠUM": 33722, + "Ġtendencies": 33723, + "ĠPeterson": 33724, + "Ġoccult": 33725, + "Ġexhibition": 33726, + "ĠINS": 33727, + "Ġadipocyte": 33728, + "Just": 33729, + "hift": 33730, + "tensors": 33731, + "Ġciliary": 33732, + "ipation": 33733, + "Ġmotivations": 33734, + "Ġwitnessed": 33735, + "itches": 33736, + "ĠSoy": 33737, + "Ġgib": 33738, + "eptic": 33739, + "ĠKOH": 33740, + "Ġïģ¨": 33741, + "ĠTorres": 33742, + "ο": 33743, + "arpo": 33744, + "okinase": 33745, + "ĠBudd": 33746, + "ĠGMM": 33747, + "Ġunderpin": 33748, + "Ġoptimistic": 33749, + "ogeography": 33750, + "numerical": 33751, + "ogg": 33752, + "Ġdisequilibrium": 33753, + "Ġswab": 33754, + "EDS": 33755, + "ĠPDFs": 33756, + "ĠSupernova": 33757, + "phospho": 33758, + "Ġlysosomes": 33759, + "galactic": 33760, + "ĠPerme": 33761, + "Ġfishery": 33762, + "ĠBOLD": 33763, + "Ġunravel": 33764, + "ĠEncryption": 33765, + "JP": 33766, + "hur": 33767, + "Ġdiscount": 33768, + "ĠWatanabe": 33769, + "ĠRheumat": 33770, + "FITC": 33771, + "Ġterahertz": 33772, + "ĠFont": 33773, + "iances": 33774, + "ĠAdditive": 33775, + "ĠEither": 33776, + "metadata": 33777, + "amphetamine": 33778, + "ĠPalmer": 33779, + "Ġleveraging": 33780, + "John": 33781, + "OCT": 33782, + "infer": 33783, + "ĠMSD": 33784, + "ĠâĪĵ": 33785, + "ouver": 33786, + "ĠAndersen": 33787, + "Ġworlds": 33788, + "Ġtori": 33789, + "Ġïģ°": 33790, + "engineering": 33791, + "ĠSquadron": 33792, + "Aff": 33793, + "åı": 33794, + "oxel": 33795, + "yletic": 33796, + "ĠCharacterizing": 33797, + "VT": 33798, + "rational": 33799, + "eremia": 33800, + "Ġcomplexation": 33801, + "ĠERα": 33802, + "carboxylic": 33803, + "ïĤ·": 33804, + "Ġgalactose": 33805, + "ĠAurora": 33806, + "Ġplasminogen": 33807, + "uren": 33808, + "igne": 33809, + "Ġrepaired": 33810, + "Ġblockers": 33811, + "ĠMNIST": 33812, + "Ïħ": 33813, + "ĠAxi": 33814, + "Ġstadium": 33815, + "diethyl": 33816, + "âĢİ": 33817, + "Ġcyclotron": 33818, + "Ġlymphaden": 33819, + "Ġvin": 33820, + "ĠMayer": 33821, + "Ġendometrium": 33822, + "ĠSpherical": 33823, + "Ġpersu": 33824, + "Ġimmortal": 33825, + "benzenesulf": 33826, + "ĠÅľ": 33827, + "Ġbite": 33828, + "ugged": 33829, + "ĠDiffraction": 33830, + "GTG": 33831, + "iate": 33832, + "Ġtp": 33833, + "Ġaber": 33834, + "ĠRein": 33835, + "Program": 33836, + "Style": 33837, + "ĠRegularization": 33838, + "ĠLeukemia": 33839, + "Ġprokaryotic": 33840, + "ocomial": 33841, + "skb": 33842, + "Ġdeviates": 33843, + "Ġfuse": 33844, + "ĠNull": 33845, + "ĠïĥĹ": 33846, + "ĠOperational": 33847, + "Ġcompressor": 33848, + "ĠRydberg": 33849, + "Ġfought": 33850, + "Ġeco": 33851, + "ĠSSP": 33852, + "CDs": 33853, + "ĠMEK": 33854, + "ĠAnisotropic": 33855, + "ĠDirection": 33856, + "ĠSpectrometry": 33857, + "Ġgluten": 33858, + "ĠPowell": 33859, + "recognized": 33860, + "Ġpsychotic": 33861, + "Ġhinder": 33862, + "Ġaccommodation": 33863, + "ĠNorman": 33864, + "Qx": 33865, + "Ġperiv": 33866, + "ĠUnknown": 33867, + "Ġjoins": 33868, + "ĠMinimization": 33869, + "ĠSons": 33870, + "ĠCin": 33871, + "Ġunavoid": 33872, + "ĠPTX": 33873, + "Ġcada": 33874, + "ĠLuk": 33875, + "Ġruling": 33876, + "Ġbiphasic": 33877, + "ĠComplications": 33878, + "ĠDefects": 33879, + "Content": 33880, + "ĠGregory": 33881, + "ĠWerner": 33882, + "ĠWeibull": 33883, + "eldom": 33884, + "Ġactivators": 33885, + "GLAPI": 33886, + "mathring": 33887, + "Ġhens": 33888, + "NSC": 33889, + "however": 33890, + "ĠTME": 33891, + "mafrost": 33892, + "coefficient": 33893, + "ĠInsect": 33894, + "ĠROIs": 33895, + "ĠBorrel": 33896, + "ĠQiu": 33897, + "Ġinhaled": 33898, + "idate": 33899, + "Ġantihypertensive": 33900, + "Ġtreats": 33901, + "ĠNearly": 33902, + "succ": 33903, + "ĠOrbital": 33904, + "eradish": 33905, + "administered": 33906, + "ĠÏĤ": 33907, + "ĠColony": 33908, + "ĠâĮĬ": 33909, + "ĠIndonesian": 33910, + 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35301, + "php": 35302, + "ĠChal": 35303, + "ĠMalawi": 35304, + "Ġstrokes": 35305, + "horm": 35306, + "Ġbs": 35307, + "Ġplural": 35308, + "strategy": 35309, + "Ġmisalignment": 35310, + "previous": 35311, + "filters": 35312, + "ĠDemographics": 35313, + "deterministic": 35314, + "Ġcyclophosphamide": 35315, + "Ġstreak": 35316, + "ĠBiosynthesis": 35317, + "Ġsubcutaneously": 35318, + "jn": 35319, + "Ġampicillin": 35320, + "ĠChag": 35321, + "iformes": 35322, + "IFICATION": 35323, + "Ġyourself": 35324, + "Ġtolerability": 35325, + "Ġautocl": 35326, + "rhs": 35327, + "Ġpupils": 35328, + "Ġgauged": 35329, + "Lay": 35330, + "ĠSanti": 35331, + "ĠDBP": 35332, + "ĠGary": 35333, + "drive": 35334, + "Ġtrustworth": 35335, + "Ġcontingency": 35336, + "Cube": 35337, + "Host": 35338, + "fu": 35339, + "Ġhsa": 35340, + "issner": 35341, + "ITT": 35342, + "ĠSrTiO": 35343, + "Ġcounselling": 35344, + "integrable": 35345, + "Ġunderway": 35346, + "Ġstandardised": 35347, + "bius": 35348, + "Firstly": 35349, + 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35504, + "tites": 35505, + "Ġhistologically": 35506, + "Opt": 35507, + "xn": 35508, + "Ġresampling": 35509, + "aney": 35510, + "Ġtrast": 35511, + "Ġsinensis": 35512, + "Ġsenescent": 35513, + "Fast": 35514, + "Ġhampered": 35515, + "Ġblocker": 35516, + "ushima": 35517, + "Ġhospitalizations": 35518, + "Lim": 35519, + "oons": 35520, + "ÿ": 35521, + "ĠAPS": 35522, + "ĠYok": 35523, + "ĠZam": 35524, + "Ġexperimenter": 35525, + "ĠDisks": 35526, + "Ġà¬": 35527, + "ĠScop": 35528, + "ĠAph": 35529, + "ĠParents": 35530, + "ĠPlots": 35531, + "ĠCONT": 35532, + "ĠÐĪ": 35533, + "Ġhomologue": 35534, + "ĠCooling": 35535, + "reth": 35536, + "Ġovari": 35537, + "ĠTamil": 35538, + "vrule": 35539, + "ĠPCP": 35540, + "arious": 35541, + "Active": 35542, + "oprotection": 35543, + "ĠAlfv": 35544, + "Ġinfra": 35545, + "ĠCoherence": 35546, + "closures": 35547, + "hydroxymethyl": 35548, + "EH": 35549, + "Ġmaser": 35550, + "ĠNIST": 35551, + "leck": 35552, + "concat": 35553, + "Ġtraine": 35554, + "Ġmixes": 35555, + 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"Metric": 36051, + "Ġwines": 36052, + "ĠMBL": 36053, + "ĠHub": 36054, + "ĠAssistant": 36055, + "Ġreliance": 36056, + "Ġrouters": 36057, + "ĠHerz": 36058, + "ĠTobacco": 36059, + "rogram": 36060, + "ĠHSD": 36061, + "ĠLBP": 36062, + "Ġinflection": 36063, + "school": 36064, + "Ġsponsored": 36065, + "ĠCenozoic": 36066, + "Ġentertainment": 36067, + "atian": 36068, + "architecture": 36069, + "browse": 36070, + "REC": 36071, + "isture": 36072, + "ĠCholesterol": 36073, + "ĠSimplified": 36074, + "Ġpolypeptides": 36075, + "Ġpunctures": 36076, + "arachnoid": 36077, + "Self": 36078, + "Ġanorexia": 36079, + "ĠOle": 36080, + "ĉĉĠĠĠĠ": 36081, + "GBT": 36082, + "Ġcardiomyocyte": 36083, + "ĠFloquet": 36084, + "analog": 36085, + "Ġsensitized": 36086, + "ĠCephe": 36087, + "catch": 36088, + "chial": 36089, + "Ġceremony": 36090, + "Ġterat": 36091, + "Ġameliorate": 36092, + "olysin": 36093, + "etooth": 36094, + "akin": 36095, + "haem": 36096, + "Ġentropies": 36097, + "Ġargu": 36098, + "Ġcopied": 36099, + "lington": 36100, + "ĠHerpes": 36101, + "ĠSchwann": 36102, + "yk": 36103, + "ĠCEA": 36104, + "ĠICH": 36105, + "Ġwrink": 36106, + "Ġrunners": 36107, + "Ġgalvan": 36108, + "Ġconsolidated": 36109, + "ĠâĢ¡": 36110, + "ĠClassic": 36111, + "Ġepidemiologic": 36112, + "ĠDriving": 36113, + "Ġtrastuzumab": 36114, + "CYP": 36115, + "NCT": 36116, + "tability": 36117, + "Ġslee": 36118, + "ĠNeck": 36119, + "Ġassesses": 36120, + "Ġsymmetrically": 36121, + "ĠPotts": 36122, + "ĠRibosomal": 36123, + "diction": 36124, + "gall": 36125, + "ĠAcceleration": 36126, + "CLA": 36127, + "ACTER": 36128, + "xed": 36129, + "Ġgeriatric": 36130, + "threonine": 36131, + "Ġabort": 36132, + "Ġartem": 36133, + "ĠDisney": 36134, + "ĠCorrespondence": 36135, + "Ġrent": 36136, + "ĠNUM": 36137, + "ĠChun": 36138, + "ĠRecogn": 36139, + "Ġcrystallized": 36140, + "Ġcontradicting": 36141, + "visors": 36142, + "malignant": 36143, + "rophysiology": 36144, + "Infrared": 36145, + "gz": 36146, + "Ġsublim": 36147, + "omatosis": 36148, + 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"iint": 36396, + "Ġ×": 36397, + "thrombin": 36398, + "Ġcoordinating": 36399, + "extrem": 36400, + "Ġembolization": 36401, + "ĠAdip": 36402, + "plated": 36403, + "ĠHag": 36404, + "ĠETS": 36405, + "Ġbrood": 36406, + "Ang": 36407, + "ĠPCV": 36408, + "detail": 36409, + "RSS": 36410, + "bens": 36411, + "Ġtier": 36412, + "ĠCock": 36413, + "Ġgay": 36414, + "Ġquint": 36415, + "Ġagenda": 36416, + "Ġaffairs": 36417, + "ĠModerate": 36418, + "helical": 36419, + "ĠEquivalent": 36420, + "Ġproportionally": 36421, + "Column": 36422, + "FWHM": 36423, + "Air": 36424, + "Enum": 36425, + "ifice": 36426, + "arcsec": 36427, + "ĠTRIM": 36428, + "ĠLabeling": 36429, + "QAM": 36430, + "pies": 36431, + "Ġisotropy": 36432, + "ĠGó": 36433, + "Ġpointers": 36434, + "tigraphy": 36435, + "ramers": 36436, + "Ġmacaque": 36437, + "Ġmisses": 36438, + "Ġellipticity": 36439, + "presented": 36440, + "galactosidase": 36441, + "ÉĽ": 36442, + "inion": 36443, + "Ġmite": 36444, + "lll": 36445, + "Objective": 36446, + 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"Ġoxalate": 37681, + "ĠDulbecco": 37682, + "Ġali": 37683, + "arginal": 37684, + "hoo": 37685, + "ischem": 37686, + "APIENTRYP": 37687, + "Apart": 37688, + "LDA": 37689, + "ensile": 37690, + "settings": 37691, + "Ġephem": 37692, + "ampa": 37693, + "Ġduplications": 37694, + "ĠWheeler": 37695, + "Physical": 37696, + "ĠCompletion": 37697, + "ĠOrdered": 37698, + "Logger": 37699, + "Ġinterferences": 37700, + "ĠPollution": 37701, + "Optimal": 37702, + "Sv": 37703, + "aicin": 37704, + "Ġpicks": 37705, + "diversity": 37706, + "tigens": 37707, + "Ġdimorphism": 37708, + "feres": 37709, + "ĠRobotic": 37710, + "Ġconfirmatory": 37711, + "Ġcathodic": 37712, + "Ġspirals": 37713, + "Ġspruce": 37714, + "Lagrange": 37715, + "wat": 37716, + "ĠAllan": 37717, + "denote": 37718, + "CID": 37719, + "always": 37720, + "ithe": 37721, + "ĠChim": 37722, + "conditional": 37723, + "barrier": 37724, + "Ġvisualizing": 37725, + "Ġïĥ¹": 37726, + "Schmidt": 37727, + "Ġconventionally": 37728, + "ĠQUANT": 37729, + "GROUND": 37730, + "Ġug": 37731, + "ĠCWE": 37732, + "ĠInspired": 37733, + "Ġbuyer": 37734, + "Ġthermost": 37735, + "Ġkinematical": 37736, + "anolic": 37737, + "Ġdif": 37738, + "Ġ": 37739, + "ĠGeo": 37740, + "Examples": 37741, + "consistency": 37742, + "ĠPalace": 37743, + "ĠVaccination": 37744, + "Ġnatriuretic": 37745, + "YAG": 37746, + "ĠCTCs": 37747, + "Univers": 37748, + "ĠAcknowledgement": 37749, + "membered": 37750, + "vv": 37751, + "ĠSession": 37752, + "Ġinstar": 37753, + "ĠLevin": 37754, + "AVI": 37755, + "Ġproliferator": 37756, + "oliths": 37757, + "ĠTemperatures": 37758, + "imming": 37759, + "ĠToeplitz": 37760, + "ICATIONS": 37761, + "ĠIntegrals": 37762, + "Ġspliced": 37763, + "Dest": 37764, + "resulting": 37765, + "ĠHope": 37766, + "Ġenclosure": 37767, + "ieves": 37768, + "flav": 37769, + "ĠAbdul": 37770, + "Ġleishmaniasis": 37771, + "ò": 37772, + "oskeleton": 37773, + "Ġadduct": 37774, + "ĠInfluences": 37775, + "EQU": 37776, + "ĠSitu": 37777, + "Ġseas": 37778, + "ĠReich": 37779, + "cyst": 37780, + "ĠEVOLUTION": 37781, + "Ġwithstand": 37782, + "ĠGinzburg": 37783, + "RNAi": 37784, + "ĠNonparametric": 37785, + "ĠPrincess": 37786, + "Ġintravascular": 37787, + "UTIONS": 37788, + "Ġglutar": 37789, + "Ġcoincided": 37790, + "ĠSaito": 37791, + "pretrained": 37792, + "combined": 37793, + "ĠTAM": 37794, + "Ġalarms": 37795, + "Ġcyclooxygenase": 37796, + "Ġbn": 37797, + "Ġplagi": 37798, + "Particle": 37799, + "GGG": 37800, + "etics": 37801, + "amber": 37802, + "ABSTRACT": 37803, + "ĠExtracts": 37804, + "ĉĉĉĠĠĠĠ": 37805, + "ĠPhylogeny": 37806, + "tow": 37807, + "ĠContaining": 37808, + "Ġendonuclease": 37809, + "incubation": 37810, + "Ġofficinal": 37811, + "Ġexplosions": 37812, + "layout": 37813, + "Ġtouchdown": 37814, + "ĠRevealed": 37815, + "Ġinfiltrate": 37816, + "enith": 37817, + "timulation": 37818, + "ĠKind": 37819, + "ervices": 37820, + "PDA": 37821, + "Ġcereus": 37822, + "Env": 37823, + "Ġlapa": 37824, + "kamp": 37825, + "mult": 37826, + "enthal": 37827, + "ĠGoldstone": 37828, + "siRNA": 37829, + "strept": 37830, + "Qual": 37831, + "mother": 37832, + "dio": 37833, + "Ġinfrequent": 37834, + "Ġcyclospor": 37835, + "hepatitis": 37836, + "thrombotic": 37837, + "GST": 37838, + "ĠLj": 37839, + "ĠUR": 37840, + "ofect": 37841, + "ĠArrow": 37842, + "ethnic": 37843, + "ĠBarcelona": 37844, + "Care": 37845, + "titious": 37846, + "Ġeta": 37847, + "Ġvirions": 37848, + "smash": 37849, + "ĠâIJ¤": 37850, + "Ġavenues": 37851, + "obarb": 37852, + "ĠComments": 37853, + "Ġanyway": 37854, + "afil": 37855, + "ĠBea": 37856, + "ĠBoys": 37857, + "ĠAutomata": 37858, + "ĠSuperconducting": 37859, + "Pic": 37860, + "kHz": 37861, + "Ġnorepinephrine": 37862, + "ĠGPC": 37863, + "Ġunderlined": 37864, + "brahim": 37865, + "Ġelectrospray": 37866, + "Ġsesqu": 37867, + "ĠTournament": 37868, + "Austr": 37869, + "ĠGrowing": 37870, + "ĠWebsite": 37871, + "LDH": 37872, + "covariance": 37873, + "several": 37874, + "stabilized": 37875, + "Ġdecarboxylase": 37876, + "Ġremed": 37877, + "rhoe": 37878, + "ĠSRS": 37879, + "ĠTreated": 37880, + "ĠMadagascar": 37881, + "ĠMagic": 37882, + "Ġweapon": 37883, + "ĠYoshida": 37884, + "Ġhypoglycemia": 37885, + "ĠBifidobacterium": 37886, + "entitious": 37887, + ":::": 37888, + "ĠSingles": 37889, + "Ġnicely": 37890, + "Ġunexpectedly": 37891, + "ibles": 37892, + "ariae": 37893, + "Ġcentroids": 37894, + "Ġbroadened": 37895, + "ĠJohns": 37896, + "ĠBacteroid": 37897, + "Ġframing": 37898, + "Primary": 37899, + "ĠPicture": 37900, + "government": 37901, + "Ġreq": 37902, + "ĠTry": 37903, + "ibo": 37904, + "Ġliquef": 37905, + "osensitivity": 37906, + "Ġslaughter": 37907, + "ĠDAR": 37908, + "Ġlogit": 37909, + "Ġpromises": 37910, + "Ġlawyer": 37911, + "ĠFPG": 37912, + "TCP": 37913, + "Ġintercalation": 37914, + "ĠBoe": 37915, + "Ġwideband": 37916, + "Ġjudgement": 37917, + "romagnets": 37918, + "Lastly": 37919, + "ĠIschemic": 37920, + "IMA": 37921, + "food": 37922, + "much": 37923, + "Ġavenue": 37924, + "Ġschistosomiasis": 37925, + "ĠExecution": 37926, + "DQU": 37927, + "GIS": 37928, + "kines": 37929, + "akage": 37930, + "echt": 37931, + "ĠScaff": 37932, + "ĠStrings": 37933, + "ĠMultilevel": 37934, + "Ġcumbersome": 37935, + "ĠRaymond": 37936, + "Ġirregularities": 37937, + "ĠAGNs": 37938, + "ĠMetastatic": 37939, + "ĠIberian": 37940, + "Mb": 37941, + "RNP": 37942, + "hong": 37943, + "isinin": 37944, + "Ġthirteen": 37945, + "ĠFAS": 37946, + "Ġsealing": 37947, + "Ġapatite": 37948, + "Ġserially": 37949, + "ĠÅĿ": 37950, + "DEL": 37951, + "Fo": 37952, + "ĠSoph": 37953, + "ĠBear": 37954, + "ĠJosh": 37955, + "reck": 37956, + "uller": 37957, + "Ġexcursion": 37958, + "Ġembodied": 37959, + "Ġhybridized": 37960, + "ĠLieutenant": 37961, + "Period": 37962, + "Ġmollus": 37963, + "CVD": 37964, + "Ren": 37965, + "REAM": 37966, + "ĠBACK": 37967, + "Ġaccreting": 37968, + "Ġculturing": 37969, + "ĠBurst": 37970, + "ĠSegment": 37971, + "Ġasterisk": 37972, + "ĠIdeal": 37973, + "Ġintertw": 37974, + "ĠAtoms": 37975, + "ĠSTE": 37976, + "Ġïģª": 37977, + "Ġremarked": 37978, + "Ġhairs": 37979, + "âľ": 37980, + "ĠMetropolis": 37981, + "ĠPartially": 37982, + "ĠObserver": 37983, + "Ġhematologic": 37984, + "obilization": 37985, + "ĠBergman": 37986, + "Ġcartesian": 37987, + "Ġclathrin": 37988, + "ĠSung": 37989, + "Ġration": 37990, + "Ġscoliosis": 37991, + "ohl": 37992, + "mutant": 37993, + "NNs": 37994, + "ĠRahman": 37995, + "ĠSpatially": 37996, + "PIP": 37997, + "Yb": 37998, + "Ġdiaz": 37999, + "vertebral": 38000, + "adzu": 38001, + "alski": 38002, + "answer": 38003, + "Ġgeochemistry": 38004, + "Ġstemming": 38005, + "wes": 38006, + "oxys": 38007, + "Ġmats": 38008, + "eva": 38009, + "ĠHyperbolic": 38010, + "arbage": 38011, + "Ġclipping": 38012, + "ĠSugar": 38013, + "ĠCognition": 38014, + "ĠDIV": 38015, + "Ġtempt": 38016, + "ĠPathogen": 38017, + "ĠPedro": 38018, + "Ġwak": 38019, + "entries": 38020, + "ĠGCM": 38021, + "projective": 38022, + "Ġproficiency": 38023, + "ĠKnown": 38024, + "Ġlexicon": 38025, + "ĠMendelian": 38026, + "Ġzoonotic": 38027, + "leans": 38028, + "ĠTalk": 38029, + "Ġkurtosis": 38030, + "NAS": 38031, + "ĠNowadays": 38032, + "ĠLil": 38033, + "ĠWMAP": 38034, + "Ġdisperse": 38035, + "Ġcolloids": 38036, + "ebra": 38037, + "OMET": 38038, + "ĠDCT": 38039, + "ĠRise": 38040, + "Ġintergenic": 38041, + "GTH": 38042, + "Ġtapered": 38043, + "Markovian": 38044, + "Protocol": 38045, + "ĠVegetation": 38046, + "rats": 38047, + "Ġdivalent": 38048, + "ĠCrust": 38049, + "zyg": 38050, + "Ġpigmentation": 38051, + "graduate": 38052, + "ĠRicc": 38053, + "Ġcounterexample": 38054, + "Ġsativ": 38055, + "Ġls": 38056, + "ĠCirculation": 38057, + "isotropic": 38058, + "ĠENSO": 38059, + "Ġtroponin": 38060, + "Ġdissolving": 38061, + "Ġcosmetic": 38062, + "Hf": 38063, + "further": 38064, + "Ġpanc": 38065, + "Ġhops": 38066, + "intra": 38067, + "ĠZhe": 38068, + "ĠReliable": 38069, + "ivolumab": 38070, + "MX": 38071, + "Rab": 38072, + "ĠPES": 38073, + "ĠBü": 38074, + "Ġadhered": 38075, + "Ġfluency": 38076, + "ĠClaus": 38077, + "Ġdelamination": 38078, + "Ġguanine": 38079, + "ĠMultiscale": 38080, + "ĠEquip": 38081, + "ĠIllustr": 38082, + "Ġtetrahydro": 38083, + "fel": 38084, + "lists": 38085, + "Îŀ": 38086, + "emulsion": 38087, + "ĠNZ": 38088, + "Ġwasn": 38089, + "aira": 38090, + "Ġarguing": 38091, + "miRNA": 38092, + "ĠExpressed": 38093, + "Ġspectrophotometric": 38094, + "Ġileum": 38095, + "Ġflames": 38096, + "Fit": 38097, + "Gon": 38098, + "ĠCulex": 38099, + "Ġunweighted": 38100, + "Ġnanob": 38101, + "SHV": 38102, + "Ġaligning": 38103, + "Ġshuttle": 38104, + "Ġchloroquine": 38105, + "Ġpyrite": 38106, + "ĠRica": 38107, + "Ġrift": 38108, + "Ġcathepsin": 38109, + "ĠPROCESS": 38110, + "Pf": 38111, + "Raw": 38112, + "rayfish": 38113, + "SAL": 38114, + "collapse": 38115, + "................": 38116, + "atases": 38117, + "Ġworkshops": 38118, + "ophile": 38119, + "ĠâĬĥ": 38120, + "Ġbifurcations": 38121, + "Trace": 38122, + "Ġpause": 38123, + "Ġorbiting": 38124, + "oliubov": 38125, + "ĠCurtis": 38126, + "ĠRevisiting": 38127, + "oret": 38128, + "Ġinfused": 38129, + "luents": 38130, + "Ġplastid": 38131, + "Ġïģ¹": 38132, + "Ġexecutions": 38133, + "ĠGraves": 38134, + "locally": 38135, + "ĠAtmosphere": 38136, + "diabetes": 38137, + "ĠPradesh": 38138, + "ĠCofactor": 38139, + "isomorphic": 38140, + "Ġbod": 38141, + "ĠCBD": 38142, + "Ġincap": 38143, + "Ġretrovirus": 38144, + "Ġlipophilic": 38145, + "Ġlinoleic": 38146, + "Ġtravelled": 38147, + "covalent": 38148, + "pick": 38149, + "upl": 38150, + "ĠPole": 38151, + "ĠThym": 38152, + "ĠTeich": 38153, + "Ġcollaborators": 38154, + "Ġinstantons": 38155, + "ĠMEGA": 38156, + "ĠHepatocellular": 38157, + "Ġinfestation": 38158, + "ĠPiezo": 38159, + "ĠLub": 38160, + "ĠNCs": 38161, + "Ġnucleoside": 38162, + "Ġosteogenesis": 38163, + "Eigen": 38164, + "RMSE": 38165, + "Ġlax": 38166, + "ĠKost": 38167, + "ĠVero": 38168, + "ĠChou": 38169, + "electrochemical": 38170, + "Ġcompeti": 38171, + "chia": 38172, + "Ġsubmodule": 38173, + "ĠAllow": 38174, + "Ġresolvent": 38175, + "Ġsweeps": 38176, + "Ġsuperconformal": 38177, + "pyrrolidine": 38178, + "lofen": 38179, + "åŃ": 38180, + "Ġdeserves": 38181, + "ĠZimbabwe": 38182, + "azines": 38183, + "ĠConsult": 38184, + "Ġcastle": 38185, + "Ġpharmaceuticals": 38186, + "Ġparacrine": 38187, + "Ġjejuni": 38188, + "Ġarguably": 38189, + "ĠeNOS": 38190, + "Ġherds": 38191, + "Ġvehicular": 38192, + "Ġtriangulated": 38193, + "Ġîµ": 38194, + "ĠGrande": 38195, + "Ġanthocyanins": 38196, + "ĠDuan": 38197, + "ĠVibration": 38198, + "Ġtriad": 38199, + "Ġhousekeeping": 38200, + "Bor": 38201, + "Ġpub": 38202, + "Ġmalformation": 38203, + "glucosamine": 38204, + "inhibitory": 38205, + "Dirac": 38206, + "ĠCSD": 38207, + "ĠRotating": 38208, + "ĠHTLV": 38209, + "Ġdemol": 38210, + "infiltr": 38211, + "Ġhemolytic": 38212, + "Ġcarbapenem": 38213, + "Ġluminescent": 38214, + "ĠPlanets": 38215, + "Ġmellifera": 38216, + "Ġcorticosterone": 38217, + "ĠAddress": 38218, + "Ġhubs": 38219, + "omethacin": 38220, + "åIJ": 38221, + "ĠChampions": 38222, + "ĠRevision": 38223, + "ĠHerbert": 38224, + "Ġambiguities": 38225, + "KERN": 38226, + "Ġdé": 38227, + "Ġlp": 38228, + "Ġenvis": 38229, + "ĠChol": 38230, + "ropin": 38231, + "Ġdrone": 38232, + "meyer": 38233, + "Ġisotype": 38234, + "ĠVu": 38235, + "ERC": 38236, + "Ġversatility": 38237, + "Speed": 38238, + "Ġaetiology": 38239, + "Ġgonadotropin": 38240, + "Ġcognate": 38241, + "ĠCotton": 38242, + "reasonable": 38243, + "disable": 38244, + "Ġdevastating": 38245, + "Pier": 38246, + "POL": 38247, + "ĠBé": 38248, + "incter": 38249, + "aluable": 38250, + "Ġpolyhedron": 38251, + "ĠRelay": 38252, + "Ġworkflows": 38253, + "FEM": 38254, + "inp": 38255, + "Ġmph": 38256, + "softmax": 38257, + "mur": 38258, + "vr": 38259, + "Ġerent": 38260, + "ĠKN": 38261, + "Ġstatin": 38262, + "Ġflatness": 38263, + "ĠArchitectures": 38264, + "ĠVeterinary": 38265, + "Ġnosocomial": 38266, + "Sk": 38267, + "XML": 38268, + "ĠFos": 38269, + "ĠLor": 38270, + "Ġradiography": 38271, + "ĠBlum": 38272, + "ĠDiscrimination": 38273, + "Ġpunc": 38274, + "Ġexits": 38275, + "ĠBilateral": 38276, + "msstrahlung": 38277, + "Ġcolonized": 38278, + "ĠFibrosis": 38279, + "Ġchaperones": 38280, + "aboratory": 38281, + "ĠPersistence": 38282, + "Ġlumped": 38283, + "Ġrabies": 38284, + "ĠBurns": 38285, + "Dense": 38286, + "ontium": 38287, + "acetylation": 38288, + "ĠFET": 38289, + "Ġhandful": 38290, + "biology": 38291, + "Ġundesired": 38292, + "Limit": 38293, + "ĠNBA": 38294, + "ĠSeoul": 38295, + "APT": 38296, + "ĠTransgenic": 38297, + "oxygenation": 38298, + "Button": 38299, + "ĠTreatments": 38300, + "ZV": 38301, + "isomorphism": 38302, + "octa": 38303, + "iffe": 38304, + "odeoxy": 38305, + "Ġorganelle": 38306, + "Ġcolloid": 38307, + "Ġceramide": 38308, + "Ġtqdm": 38309, + "GPS": 38310, + "ĠISR": 38311, + "oclinic": 38312, + "ĠLyme": 38313, + "Ġepig": 38314, + "ĠTrail": 38315, + "IPS": 38316, + "Ġsorts": 38317, + "ĠZebrafish": 38318, + "Ġhydroxylase": 38319, + "Smirnov": 38320, + "Bax": 38321, + "ĠDance": 38322, + "ĠHors": 38323, + "Ġreachability": 38324, + "Parallel": 38325, + "ĠESBL": 38326, + "Ġuplink": 38327, + "Ġpostprandial": 38328, + "solar": 38329, + "itabine": 38330, + "ordism": 38331, + "Neasy": 38332, + "Ġabandon": 38333, + "IMI": 38334, + "fake": 38335, + "statistical": 38336, + "ĠCars": 38337, + "ibia": 38338, + "ĠÃĩ": 38339, + "spc": 38340, + "MDP": 38341, + "tizations": 38342, + "International": 38343, + "ularis": 38344, + "Ġvacuoles": 38345, + "KC": 38346, + "ĠAPT": 38347, + "ĠBt": 38348, + "ĠBom": 38349, + "ĠGMP": 38350, + "Ġpioneer": 38351, + "ĠChairman": 38352, + "ĠTucker": 38353, + "ĠRAF": 38354, + "ĠNASH": 38355, + "ĠWIT": 38356, + "ynyl": 38357, + "Ġsupplier": 38358, + "ansky": 38359, + "Ġdecomposing": 38360, + "ĠUVB": 38361, + "ophenol": 38362, + "Ġbarium": 38363, + "ĠSMT": 38364, + "otocin": 38365, + "lytic": 38366, + "ranking": 38367, + "ĠDirections": 38368, + "Ġinnervation": 38369, + "switching": 38370, + "dac": 38371, + "ĠhT": 38372, + "Ġdoctr": 38373, + "ĠIncremental": 38374, + "ĠEarthquake": 38375, + "Has": 38376, + "Lee": 38377, + "mates": 38378, + "proline": 38379, + "ĠREE": 38380, + "Ġviolates": 38381, + "ðx": 38382, + "Ġhomogenates": 38383, + "Boolean": 38384, + "Ġdoxycycline": 38385, + "ĠMOF": 38386, + "iophen": 38387, + "Ġappreciation": 38388, + "finals": 38389, + "characteristic": 38390, + "ĠContinental": 38391, + "Bus": 38392, + "Esc": 38393, + "XP": 38394, + "ÛĮ": 38395, + "ĠCTA": 38396, + "Maxwell": 38397, + "Ġarchaea": 38398, + "Nik": 38399, + "NONE": 38400, + "TW": 38401, + "tering": 38402, + "ĠPerman": 38403, + "Ġrestores": 38404, + "opathogenic": 38405, + "ĠMontgomery": 38406, + "Ġglucocorticoids": 38407, + "Ġud": 38408, + "ĠNuss": 38409, + "ĠNé": 38410, + "ĠSturm": 38411, + "Ġattaching": 38412, + "Ġintraperitoneally": 38413, + "lasov": 38414, + "Ġstellate": 38415, + "Ġantiproliferative": 38416, + "Ġmicroorganism": 38417, + "Ġvisu": 38418, + "Ġjudges": 38419, + "randomized": 38420, + "allowed": 38421, + "Ġdeprived": 38422, + "development": 38423, + "scribed": 38424, + "etherian": 38425, + "ĠFraser": 38426, + "Ram": 38427, + "bib": 38428, + "Ġliner": 38429, + "Ġguns": 38430, + "resnet": 38431, + "ĠLTR": 38432, + "ighting": 38433, + "Initi": 38434, + "ĠZimm": 38435, + "ĠGeology": 38436, + "Ġantioxidative": 38437, + "Ġmagenta": 38438, + "ĠNigerian": 38439, + "galaxy": 38440, + "ĠMelanoma": 38441, + "Found": 38442, + "Ġbum": 38443, + "ĠTrop": 38444, + "ĠDos": 38445, + "Ġmetab": 38446, + "Ġinvoking": 38447, + "ĠSchizophrenia": 38448, + "CFG": 38449, + "Ġgelation": 38450, + "Ġopioids": 38451, + "pis": 38452, + "Ġchurches": 38453, + "Ġcanonically": 38454, + "Ġjug": 38455, + "Ġacceptors": 38456, + "DMEM": 38457, + "Ġobliqu": 38458, + "ĠMedicare": 38459, + "arpoon": 38460, + "ZIP": 38461, + "oreactive": 38462, + "Ġimprinting": 38463, + "ĠVinc": 38464, + "Ġ¿": 38465, + "Ġrestart": 38466, + "Ġdentate": 38467, + "enzymatic": 38468, + "Ġinguinal": 38469, + "ĠNt": 38470, + "Ġunobserved": 38471, + "uctuation": 38472, + "Ġbiasing": 38473, + "Ġintegrins": 38474, + "Ġurl": 38475, + "FPGAM": 38476, + "ĠCLUST": 38477, + "omatology": 38478, + "Ġmetallicities": 38479, + "Ġintentionally": 38480, + "FPGAMGR": 38481, + "Typ": 38482, + "Ġally": 38483, + "Ġcomic": 38484, + "ĠLions": 38485, + "Ġimputed": 38486, + "ĠÃŁ": 38487, + "lexia": 38488, + "ĠJanus": 38489, + "Ġbrass": 38490, + "ĠDownloaded": 38491, + "BUFF": 38492, + "identical": 38493, + "Ġpsychiatry": 38494, + "CCT": 38495, + "ifar": 38496, + "ĠMandel": 38497, + "Ġoptoelectronic": 38498, + "Ġisomerization": 38499, + "ĠFant": 38500, + "ĠLion": 38501, + "ĠLov": 38502, + "ĠNaf": 38503, + "esta": 38504, + "Ġbiocompatible": 38505, + "Ġsecretions": 38506, + "sci": 38507, + "ĠRetro": 38508, + "oisomerase": 38509, + "ĠSnap": 38510, + "Ġsplittings": 38511, + "Ġscavenger": 38512, + "procedure": 38513, + "Dawley": 38514, + "ëĭ¤": 38515, + "unate": 38516, + "ĠDye": 38517, + "ĠNEC": 38518, + "Ġnanocl": 38519, + "Ġplanetes": 38520, + "ĠTRPM": 38521, + "Ġvoices": 38522, + "ĠHierarchy": 38523, + "mv": 38524, + "Ġlasts": 38525, + "Ġhoped": 38526, + "Ġmedians": 38527, + "ĠAndreev": 38528, + "Ġheightened": 38529, + "ä»": 38530, + "Ġindefinite": 38531, + "ĠKamp": 38532, + "angel": 38533, + "grids": 38534, + "archae": 38535, + "Ġtherapists": 38536, + "ĠMiR": 38537, + "Ġnegotiation": 38538, + "HSP": 38539, + "ĠCustom": 38540, + "Ġstria": 38541, + "Ġunacceptable": 38542, + "retin": 38543, + "penet": 38544, + "ĠORR": 38545, + "ĠLifetime": 38546, + "ĠPhosphate": 38547, + "Ġtropics": 38548, + "ĠWelch": 38549, + "ĠPyr": 38550, + "Ġamputation": 38551, + "ĠArtin": 38552, + "ĠCaO": 38553, + "Ġconjectures": 38554, + "Ġatrium": 38555, + "ĠComplementary": 38556, + "ĠAluminum": 38557, + "Ġmicrow": 38558, + "iliated": 38559, + "ĠImmuno": 38560, + "Ġbinocular": 38561, + "ĠWeakly": 38562, + "Ġimmunogenic": 38563, + "Ġbathym": 38564, + "ĠPhenotype": 38565, + "Ġsialic": 38566, + "Six": 38567, + "Ġakin": 38568, + "rotor": 38569, + "helm": 38570, + "CCESS": 38571, + "Ġneuroprotection": 38572, + "ĠFifth": 38573, + "Ġcontingent": 38574, + "Ġsketched": 38575, + "Imp": 38576, + "Ġcached": 38577, + "urement": 38578, + "ĠBic": 38579, + "ĠKah": 38580, + "beration": 38581, + "atterson": 38582, + "Ġglycation": 38583, + "Ġinvestors": 38584, + "Assisted": 38585, + "iales": 38586, + "science": 38587, + "Ġpilots": 38588, + "uscripts": 38589, + "MICS": 38590, + "Ġorthopedic": 38591, + "warfs": 38592, + "greater": 38593, + "ĠArtery": 38594, + "Video": 38595, + "Ġarrange": 38596, + "avar": 38597, + "charges": 38598, + "dialdehyde": 38599, + "ĠTPA": 38600, + "Ġspelling": 38601, + "ĠSeiberg": 38602, + "Ġnavigate": 38603, + "ĠPowder": 38604, + "ĠRings": 38605, + "ĠChron": 38606, + "ĠAtg": 38607, + "Ġhomocysteine": 38608, + "ĠIdentify": 38609, + "Ġoak": 38610, + "Ġliability": 38611, + "Ġoperands": 38612, + "ĠCTD": 38613, + "Ġalleviates": 38614, + "mA": 38615, + "ĠLanger": 38616, + "Ġsubmanifolds": 38617, + "ĠJag": 38618, + "Ġradiance": 38619, + "constants": 38620, + "ĠMorocco": 38621, + "Engine": 38622, + "á¸": 38623, + "âĤ¬": 38624, + "revers": 38625, + "PCI": 38626, + "unsqueeze": 38627, + "oconversion": 38628, + "Ġintensified": 38629, + "Ġrefinements": 38630, + "ofectamine": 38631, + "ayas": 38632, + "Ġincidental": 38633, + "ĠThur": 38634, + "Ġoverd": 38635, + "Ġbitter": 38636, + "Ġignores": 38637, + "ан": 38638, + "ĠOTU": 38639, + "Ġserr": 38640, + "aby": 38641, + "ĠGCN": 38642, + "ĠConsumer": 38643, + "Ġconcordant": 38644, + "ĠMRC": 38645, + "ĠEconomy": 38646, + "satisfying": 38647, + "Ġbiotinylated": 38648, + "Numerical": 38649, + "ĠRashba": 38650, + "stochastic": 38651, + "ĠLal": 38652, + "Ġburdens": 38653, + "Alloc": 38654, + "ĠGraphics": 38655, + "ĠLRRK": 38656, + "AIC": 38657, + "ĠTed": 38658, + "ĠSark": 38659, + "owl": 38660, + "Ġhemost": 38661, + "ĠAnat": 38662, + "Ġhoming": 38663, + "ĠCharlie": 38664, + "ĠBruc": 38665, + "ihara": 38666, + "ingen": 38667, + "ĠVern": 38668, + "ĠYers": 38669, + "Ġids": 38670, + "ĠcircRNAs": 38671, + "Ġconducive": 38672, + "ĠBRST": 38673, + "Ġgallium": 38674, + "Ġdichotomy": 38675, + "Fr": 38676, + "etition": 38677, + "Ġcesarean": 38678, + "olan": 38679, + "Ġrn": 38680, + "ubstituted": 38681, + "ĠLeaves": 38682, + "ĠLeader": 38683, + "coloring": 38684, + "Draw": 38685, + "Ġserous": 38686, + "Err": 38687, + "Ġinnermost": 38688, + "ĠHamburg": 38689, + "Stor": 38690, + "jes": 38691, + "Ġtol": 38692, + "idade": 38693, + "Ġrv": 38694, + "ĠInversion": 38695, + "Ġmultiphase": 38696, + "Ġpseudor": 38697, + "ĠGoodman": 38698, + "ĠJSON": 38699, + "Ġcorridor": 38700, + "Ġpork": 38701, + "ĠSale": 38702, + "ĠNatal": 38703, + "Ġattacking": 38704, + "ĠSheet": 38705, + "Ġstreamwise": 38706, + "Ġatomistic": 38707, + "Ġfirmly": 38708, + "ĠAchie": 38709, + "Ġpir": 38710, + "ĠIKK": 38711, + "ĠFalk": 38712, + "ileptic": 38713, + "ĠTRPC": 38714, + "Ġadhesions": 38715, + "HRP": 38716, + "Ġpaucity": 38717, + "Split": 38718, + "UDI": 38719, + "ĠSend": 38720, + "ĠPine": 38721, + "ĠLon": 38722, + "ĠLost": 38723, + "efer": 38724, + "concaten": 38725, + "Ġloyal": 38726, + "Ġglycop": 38727, + "ĠObserving": 38728, + "ĠMohamed": 38729, + "YR": 38730, + "ĠFilters": 38731, + "cas": 38732, + "pages": 38733, + "ĠdA": 38734, + "Ġareal": 38735, + "adis": 38736, + "ĠLHS": 38737, + "ĠThereby": 38738, + "Ġvisualizations": 38739, + "Ġtwistor": 38740, + "unitary": 38741, + "Ġarchives": 38742, + "Ġphenolics": 38743, + "hik": 38744, + "sson": 38745, + "ĠIK": 38746, + "ĠStudying": 38747, + "Ġtwisting": 38748, + "ĠHydrodynamic": 38749, + "Ġsplitter": 38750, + "Ġurothelial": 38751, + "Ġalken": 38752, + "ĠGPI": 38753, + "Ġcortices": 38754, + "Ġcropping": 38755, + "Patient": 38756, + "ĠChlamyd": 38757, + "inberg": 38758, + "ĠAircraft": 38759, + "cele": 38760, + "ectral": 38761, + "Ġconferences": 38762, + "Ġcreatine": 38763, + "alty": 38764, + "proportional": 38765, + "Ġleptonic": 38766, + "Ġovulation": 38767, + "uerre": 38768, + "tezomib": 38769, + "dle": 38770, + "initeness": 38771, 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38819, + "Ġfingerprinting": 38820, + "Ġbuffalo": 38821, + "ĠWikimedia": 38822, + "Ġreconstitution": 38823, + "Ġepithelia": 38824, + "onk": 38825, + "eny": 38826, + "ĠMQ": 38827, + "ĠFork": 38828, + "endance": 38829, + "Ġgeneralisation": 38830, + "Ġpeoples": 38831, + "Ġconnector": 38832, + "gesia": 38833, + "interference": 38834, + "Ġcoloration": 38835, + "calculation": 38836, + "ĠAxial": 38837, + "ĠDESIGN": 38838, + "Ġrecession": 38839, + "Ġdissolve": 38840, + "ĠPartitioning": 38841, + "QxMD": 38842, + "GES": 38843, + "Vo": 38844, + "khar": 38845, + "ĠEAE": 38846, + "Ġcoarser": 38847, + "Ġposttraumatic": 38848, + "Ġsynthesised": 38849, + "silica": 38850, + "tetrahydropy": 38851, + "ĠPorter": 38852, + "vark": 38853, + "entanyl": 38854, + "Ġconve": 38855, + "Ġrafts": 38856, + "brecht": 38857, + "Ġrectifier": 38858, + "Ġoroph": 38859, + "ĠCEP": 38860, + "Ġhistones": 38861, + "Ġstandpoint": 38862, + "Ġancillary": 38863, + "ĠHurricane": 38864, + "cro": 38865, + "Ġreb": 38866, + "ĠiT": 38867, + "Ġgeography": 38868, + "olarization": 38869, + "ĠManaging": 38870, + "Ġxylose": 38871, + "utherland": 38872, + "ĠTaqMan": 38873, + "KN": 38874, + "Ġtm": 38875, + "ĠTAS": 38876, + "istle": 38877, + "âĢ«": 38878, + "Ġmycorrhizal": 38879, + "ĠTerrestrial": 38880, + "hausen": 38881, + "observable": 38882, + "Brien": 38883, + "Ġneutropenia": 38884, + "Taken": 38885, + "ĠSMI": 38886, + "Ġpolishing": 38887, + "Ġphotop": 38888, + "Ġthermalization": 38889, + "Ġpseudoscalar": 38890, + "ĠDominic": 38891, + "romyalgia": 38892, + "Ġechocardiographic": 38893, + "Illumina": 38894, + "ĠIPC": 38895, + "ĠHuss": 38896, + "essive": 38897, + "uptake": 38898, + "Ġweekend": 38899, + "Ġcorroborate": 38900, + "ĠTasman": 38901, + "herty": 38902, + "Ġperine": 38903, + "Ġtransports": 38904, + "Ġglance": 38905, + "retinal": 38906, + "Proto": 38907, + "igenes": 38908, + "Ġprohibited": 38909, + "behavioral": 38910, + "opherol": 38911, + "ë¡": 38912, + "ĠNecess": 38913, + "obiology": 38914, + "okk": 38915, + "Ġtraversal": 38916, + "ĠAndes": 38917, + "Resource": 38918, + "olitic": 38919, + "ça": 38920, + "irie": 38921, + "arctan": 38922, + "Ġmorphogenetic": 38923, + "ĠHui": 38924, + "losses": 38925, + "Ġfulfilling": 38926, + "Ġhurricane": 38927, + "ombo": 38928, + "Ġgs": 38929, + "ĠLv": 38930, + "ĠNerv": 38931, + "ellosis": 38932, + "Ġconfront": 38933, + "Ġorthologous": 38934, + "Ġwettability": 38935, + "Ġcyanobacterial": 38936, + "Ġcassava": 38937, + "AUT": 38938, + "avi": 38939, + "hlen": 38940, + "ĠSLA": 38941, + "Ġconvol": 38942, + "Ġintermetallic": 38943, + "inside": 38944, + "Ġpolarizability": 38945, + "Ġensuing": 38946, + "Ġchloroplasts": 38947, + "lid": 38948, + "lips": 38949, + "Ġrebound": 38950, + "ĠCary": 38951, + "ĠLambda": 38952, + "ĠViv": 38953, + "Ġcalcination": 38954, + "ĠÌĨ": 38955, + "Ġcounterfactual": 38956, + "ĠSilica": 38957, + "Referee": 38958, + "Ġhomologues": 38959, + "ĠSpatiotemporal": 38960, + "ĠArrhenius": 38961, + "Ġinflamed": 38962, + "ĠZambia": 38963, + "Ġantipsychotic": 38964, + "helper": 38965, + "Blood": 38966, + "Ġpurchasing": 38967, + "ĠSchwinger": 38968, + "ĠWilkinson": 38969, + "Ġfainter": 38970, + "Ġrash": 38971, + "ĠJang": 38972, + "ĠConductivity": 38973, + "ropoda": 38974, + "ĠSeq": 38975, + "Ġpropolis": 38976, + "Ġtubule": 38977, + "ĠLieb": 38978, + "optimization": 38979, + "mounted": 38980, + "emes": 38981, + "canic": 38982, + "oradiotherapy": 38983, + "ĠJenkins": 38984, + "Nc": 38985, + "Together": 38986, + "Ġfove": 38987, + "Ġmv": 38988, + "ĠDefect": 38989, + "ät": 38990, + "ĠFinance": 38991, + "umarin": 38992, + "mittance": 38993, + "erel": 38994, + "ĠFren": 38995, + "ĠRhyth": 38996, + "ramified": 38997, + "Ġhypercholesterolem": 38998, + "Ġstimulatory": 38999, + "ĠRichmond": 39000, + "Ġadvancements": 39001, + "bles": 39002, + "xu": 39003, + "allation": 39004, + "Ġintral": 39005, + "iterpene": 39006, + "Concerning": 39007, + "Ġbulky": 39008, + "Ġá¾±": 39009, + "computation": 39010, + "ĠAgarwal": 39011, + "Central": 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"oader": 39062, + "heart": 39063, + "Ġremedy": 39064, + "Ġfacilitators": 39065, + "openhagen": 39066, + "dodec": 39067, + "ĠFriend": 39068, + "ĠTouch": 39069, + "arms": 39070, + "CRs": 39071, + "Ġultrahigh": 39072, + "ĠDriver": 39073, + "GEMENTS": 39074, + "ĠOu": 39075, + "Ġendocarditis": 39076, + "Ġautoencoder": 39077, + "Ġich": 39078, + "Ġfetch": 39079, + "urian": 39080, + "ĠORFs": 39081, + "Ġpermeabilized": 39082, + "ĠWiFi": 39083, + "ĠLithuan": 39084, + "Structure": 39085, + "Ln": 39086, + "houses": 39087, + "Ġought": 39088, + "ĠConcluding": 39089, + "Ġanniversary": 39090, + "ĠCreation": 39091, + "Ġblindness": 39092, + "ĠpcDNA": 39093, + "ĠSusan": 39094, + "ĠBenjamini": 39095, + "ĠSentence": 39096, + "Ġsnd": 39097, + "Ġfins": 39098, + "phis": 39099, + "ĠModules": 39100, + "Ġneuropsychiatric": 39101, + "ĠPotassium": 39102, + "Ġsacrifice": 39103, + "Ġdyspnea": 39104, + "Ġdeliberately": 39105, + "omegaly": 39106, + "Media": 39107, + "Temporal": 39108, + "Ġshark": 39109, + "SCAN": 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"ĠDisability": 39361, + "ĠRobots": 39362, + "Ġdebugging": 39363, + "ĠìĿ": 39364, + "Wilson": 39365, + "uprofen": 39366, + "obarbital": 39367, + "JB": 39368, + "isance": 39369, + "itizer": 39370, + "MIS": 39371, + "ĠARF": 39372, + "Ġprostheses": 39373, + "Ġdichloromethane": 39374, + "mCherry": 39375, + "ĠSSS": 39376, + "ĠLPA": 39377, + "SCF": 39378, + "attract": 39379, + "Ġcalibrations": 39380, + "Ġfibril": 39381, + "Ġhaploid": 39382, + "usalem": 39383, + "ĠNut": 39384, + "Ġdeut": 39385, + "chronic": 39386, + "NAP": 39387, + "ĠCytokines": 39388, + "rageen": 39389, + "ĠCategories": 39390, + "rains": 39391, + "Ġsummands": 39392, + "Ġproliferate": 39393, + "rylov": 39394, + "Ġpleasure": 39395, + "Ġdensit": 39396, + "ĠSURVE": 39397, + "HIP": 39398, + "hall": 39399, + "ĠFUS": 39400, + "Ġwasting": 39401, + "ERY": 39402, + "Ġstatins": 39403, + "Ġeastward": 39404, + "sometimes": 39405, + "Ġwrapping": 39406, + "ĠTWO": 39407, + "vine": 39408, + "Ġsacchar": 39409, + "Ġamateur": 39410, + "ĠÃĽ": 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"ĠCNF": 39510, + "ĠISI": 39511, + "adapter": 39512, + "ĠUCP": 39513, + "Ġtextured": 39514, + "AAV": 39515, + "keto": 39516, + "Np": 39517, + "counting": 39518, + "hynchus": 39519, + "Ġprosec": 39520, + "ĠAnnot": 39521, + "ĠHarbor": 39522, + "degrees": 39523, + "akar": 39524, + "ĠVik": 39525, + "bfd": 39526, + "Ġdrip": 39527, + "ĠCaucas": 39528, + "Ġtrench": 39529, + "Ġweed": 39530, + "Ġdistractor": 39531, + "genetic": 39532, + "specifically": 39533, + "ulfite": 39534, + "ĠConsistently": 39535, + "Ġbreakfast": 39536, + "Ġbullet": 39537, + "Ġlegisl": 39538, + "ĠTraumatic": 39539, + "Ġcollectors": 39540, + "ĠBullet": 39541, + "ĠMYB": 39542, + "ĠPink": 39543, + "versive": 39544, + "ĠAttem": 39545, + "Ġculturally": 39546, + "Bell": 39547, + "undef": 39548, + "vii": 39549, + "Ġhistocompatibility": 39550, + "letcher": 39551, + "ĠStef": 39552, + "Amp": 39553, + "ĠRid": 39554, + "ĠEucl": 39555, + "Ġdecryption": 39556, + "ĠSpencer": 39557, + "ĠBitcoin": 39558, + "wic": 39559, + "Ġcomplicate": 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"Ġproteas": 39612, + "Ġsterilization": 39613, + "ĠBanerjee": 39614, + "ĠPersonnel": 39615, + "âĮĭ": 39616, + "onephritis": 39617, + "omite": 39618, + "ĠCCF": 39619, + "ositi": 39620, + "ĠEucalyptus": 39621, + "ĠIsotope": 39622, + "coli": 39623, + "possibility": 39624, + "Ġstrontium": 39625, + "Ġraref": 39626, + "ĠInterstellar": 39627, + "kinin": 39628, + "ylethanol": 39629, + "JT": 39630, + "north": 39631, + "Ġcensored": 39632, + "istive": 39633, + "Ġnoticing": 39634, + "Ġshipping": 39635, + "Embed": 39636, + "Observ": 39637, + "Ġzeolites": 39638, + "ubit": 39639, + "Ġflaps": 39640, + "Ġdrifts": 39641, + "Ġtherapist": 39642, + "Ġpollination": 39643, + "aliplatin": 39644, + "Johnson": 39645, + "Ġimperfections": 39646, + "NY": 39647, + "Ġthalamic": 39648, + "ocarb": 39649, + "ozotocin": 39650, + "Ġtetramer": 39651, + "Plas": 39652, + "Ġmultichannel": 39653, + "ĠInsight": 39654, + "opods": 39655, + "ĠNacional": 39656, + "Ġimatinib": 39657, + "actual": 39658, + "ĠXOR": 39659, + "Ġblight": 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39708, + "Ġhalves": 39709, + "giant": 39710, + "ĠCroatia": 39711, + "icyclo": 39712, + "ĠUnexpected": 39713, + "Ġloneliness": 39714, + "anu": 39715, + "Ġchampions": 39716, + "uberculosis": 39717, + "Ġequi": 39718, + "Ġaccreted": 39719, + "Ġinvading": 39720, + "Ġafferents": 39721, + "Ġalternation": 39722, + "Ġkinet": 39723, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 39724, + "ĠMAGNET": 39725, + "ĠFIFA": 39726, + "zadeh": 39727, + "iphenyl": 39728, + "ĠKro": 39729, + "ĠEvaluate": 39730, + "illiant": 39731, + "curvature": 39732, + "ĠPierce": 39733, + "better": 39734, + "nos": 39735, + "à¥": 39736, + "ĠKCN": 39737, + "ĠStrand": 39738, + "caemic": 39739, + "ĠHoechst": 39740, + "ĠEXT": 39741, + "ĠLLVM": 39742, + "BZ": 39743, + "tgt": 39744, + "ondialdehyde": 39745, + "ĠEvid": 39746, + "ĠGul": 39747, + "Ġmultiplications": 39748, + "Ġauth": 39749, + "ĠAustral": 39750, + "Ġstaying": 39751, + "ĠGlutamate": 39752, + "Ġstray": 39753, + "ĠISA": 39754, + "Ġlowland": 39755, + "Ġparallels": 39756, + "Ġattractiveness": 39757, + "Ġelectrospinning": 39758, + "Ġportrayed": 39759, + "ospecific": 39760, + "folate": 39761, + "Ġcoeff": 39762, + "ĠEstrogen": 39763, + "tumour": 39764, + "Ġhysterectomy": 39765, + "Ġinositol": 39766, + "ĠBaz": 39767, + "istein": 39768, + "Ġcrucially": 39769, + "Ġdinoflag": 39770, + "ÍĶÍĴ": 39771, + "ĠDragon": 39772, + "ĠSpor": 39773, + "ĠMater": 39774, + "ĠHero": 39775, + "plicing": 39776, + "ĠANT": 39777, + "ĠFormic": 39778, + "Queue": 39779, + "ocarcinomas": 39780, + "UPS": 39781, + "ĠPc": 39782, + "encoders": 39783, + "Ġinvaded": 39784, + "ĠPhases": 39785, + "Ġpostmortem": 39786, + "Ġslows": 39787, + "ĠMcL": 39788, + "ĠVerma": 39789, + "ĠViability": 39790, + "Ġcompensating": 39791, + "Ġclamped": 39792, + "jm": 39793, + "ĠRiv": 39794, + "upon": 39795, + "ĠDickinson": 39796, + "initiated": 39797, + "Ġsider": 39798, + "ĠSelen": 39799, + "ĠAka": 39800, + "idelberg": 39801, + "Ġqualifying": 39802, + "Ġenforcing": 39803, + "otrophs": 39804, + "ĠSNAP": 39805, + "Ġrust": 39806, + "imburs": 39807, + "Ġimmunocompromised": 39808, + "ĠFleming": 39809, + "Ġlizards": 39810, + "dialysis": 39811, + "ĠUnivariate": 39812, + "Ġgasoline": 39813, + "Ġtenure": 39814, + "Ġsustaining": 39815, + "Ġmotone": 39816, + "bay": 39817, + "wani": 39818, + "orestation": 39819, + "ĠXII": 39820, + "Ġradiofrequency": 39821, + "ĠGuided": 39822, + "Individual": 39823, + "ĠSpectrometer": 39824, + "ĠGoing": 39825, + "ĠMartins": 39826, + "Approxim": 39827, + "amak": 39828, + "ĠâĪı": 39829, + "ĠOmn": 39830, + "Ġoutpatients": 39831, + "Ġhyperbol": 39832, + "ĠPerceptual": 39833, + "ĠBurke": 39834, + "Boltzmann": 39835, + "ĠMd": 39836, + "Ġpaw": 39837, + "ĠCathedral": 39838, + "Ġhyaluron": 39839, + "Ġbrachial": 39840, + "Ġaflatoxin": 39841, + "imo": 39842, + "Ġenrol": 39843, + "Ġdetonation": 39844, + "Ġoverly": 39845, + "thest": 39846, + "Ġsecondly": 39847, + "ĠSchiz": 39848, + "ĠIGFBP": 39849, + "atechin": 39850, + "Ġsaves": 39851, + "tiers": 39852, + "ĠBates": 39853, + 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"ĠMWCNTs": 42149, + "ĠJimmy": 42150, + "ĠYeh": 42151, + "gathered": 42152, + "kil": 42153, + "ĠKappa": 42154, + "Ġcartoon": 42155, + "ĠHeuristic": 42156, + "Ġsz": 42157, + "Ġorifice": 42158, + "Ġmannit": 42159, + "ĠCOMM": 42160, + "ICK": 42161, + "Ġfarmer": 42162, + "ĠSilencing": 42163, + "Ġprefixes": 42164, + "qc": 42165, + "ineurin": 42166, + "Ġinflated": 42167, + "ĠRez": 42168, + "Ġhydrodynamical": 42169, + "Ġoscillate": 42170, + "Ġpedestrians": 42171, + "ĠAngiotensin": 42172, + "ĠViscosity": 42173, + "Ġoligodendrocytes": 42174, + "Ġparotid": 42175, + "Layout": 42176, + "rageenan": 42177, + "Ġè": 42178, + "ĠmN": 42179, + "Ġdozen": 42180, + "exclusion": 42181, + "Ġpanic": 42182, + "ĠPDI": 42183, + "Ġtwentieth": 42184, + "ĠElectroph": 42185, + "Ġmicrobiology": 42186, + "Server": 42187, + "ĠParticipation": 42188, + "DET": 42189, + "Poss": 42190, + "ĠNemat": 42191, + "ĠNRF": 42192, + "arguments": 42193, + "Ġamylase": 42194, + "Ġargv": 42195, + "Ġresolves": 42196, + "Ġrevisions": 42197, + "Packet": 42198, + "Tools": 42199, + "YE": 42200, + "Ġtire": 42201, + "induction": 42202, + "asive": 42203, + "tonic": 42204, + "ém": 42205, + "carrying": 42206, + "ĠImmunoblot": 42207, + "ĠIPF": 42208, + "Ġdeteriorated": 42209, + "Ġjurisdiction": 42210, + "released": 42211, + "osmotic": 42212, + "Ġrestaurants": 42213, + "ï¸": 42214, + "ĠNm": 42215, + "Ġflips": 42216, + "Ġseparability": 42217, + "ĠRecursive": 42218, + "Ġpasture": 42219, + "ĠÄī": 42220, + "Ġblastocyst": 42221, + "MCP": 42222, + "Tb": 42223, + "uene": 42224, + "esulf": 42225, + "essim": 42226, + "Ġhen": 42227, + "ĠKull": 42228, + "ylum": 42229, + "arev": 42230, + "uests": 42231, + "ĠZip": 42232, + "Ġboats": 42233, + "Command": 42234, + "Continu": 42235, + "ĠBogoliubov": 42236, + "Ġmannitol": 42237, + "Know": 42238, + "г": 42239, + "ĠHack": 42240, + "Ġmassively": 42241, + "ĠAlloys": 42242, + "ĠCDP": 42243, + "ĠStereo": 42244, + "ĠElectrode": 42245, + "Ġisoflav": 42246, + "Ġinteroperability": 42247, + "ĠAdelaide": 42248, + "ĠPPD": 42249, + "ĠKou": 42250, + "Ġdiap": 42251, + "Ġconserve": 42252, + "Ġaggregating": 42253, + "Gluc": 42254, + "Ġîģ": 42255, + "Ġgust": 42256, + "ĠLeb": 42257, + "ETIC": 42258, + "ĠConsol": 42259, + "ĠMorita": 42260, + "Relative": 42261, + "Ġpaleo": 42262, + "Ġwitnesses": 42263, + "ĠLauren": 42264, + "azepine": 42265, + "ĠTY": 42266, + "ĠIdi": 42267, + "ĠMent": 42268, + "ĠRCA": 42269, + "igenin": 42270, + "ĠDefence": 42271, + "Ġpyrimidine": 42272, + "ĠTiN": 42273, + "Ġendothelin": 42274, + "Ġpandas": 42275, + "Ġswallowing": 42276, + "Ġcongestive": 42277, + "Ġvinc": 42278, + "ĠDIP": 42279, + "ĠHough": 42280, + "Ġzw": 42281, + "ĠKimura": 42282, + "representations": 42283, + "ĠPromote": 42284, + "ĠTerry": 42285, + "Ġhatched": 42286, + "lookup": 42287, + "Electron": 42288, + "Ġdormancy": 42289, + "Ġresign": 42290, + "Ġvaluations": 42291, + "Ġmakeup": 42292, + "ĠAmy": 42293, + "CLUD": 42294, + "SEP": 42295, + "tubule": 42296, + "Ġsoldier": 42297, + "ĠTz": 42298, + "ĠTrump": 42299, + "ĠKramer": 42300, + "coni": 42301, + "Ġengraft": 42302, + "Ġvacuole": 42303, + "Ġreplicating": 42304, + "itonitis": 42305, + "ĠBacteri": 42306, + "vaccinated": 42307, + "olt": 42308, + "ĠAhn": 42309, + "Ġanem": 42310, + "ĠBIT": 42311, + "geo": 42312, + "Ġmicrogravity": 42313, + "ĠShir": 42314, + "ĠWorldwide": 42315, + "Ġignor": 42316, + "ĠËĩ": 42317, + "Ġlubrication": 42318, + "java": 42319, + "vt": 42320, + "Ġyl": 42321, + "Ġhills": 42322, + "ĠFOL": 42323, + "Ġbasaltic": 42324, + "Neill": 42325, + "ĠEthiopian": 42326, + "ĠNOTCH": 42327, + "ĠMOSFET": 42328, + "leaving": 42329, + "ĠPter": 42330, + "ĠWeld": 42331, + "aple": 42332, + "Ġsandwic": 42333, + "Ġazide": 42334, + "ĠStimuli": 42335, + "Ġlizard": 42336, + "ĠCinc": 42337, + "ĠHain": 42338, + "icals": 42339, + "Ġcontacting": 42340, + "ĠMarx": 42341, + "Ġpsychotherapy": 42342, + "ĠRetin": 42343, + "Ġcatheterization": 42344, + "ĠNanoparticle": 42345, + "ĠTCC": 42346, + "vermectin": 42347, + "ĠBASE": 42348, + "Ġnotor": 42349, + "Ġelectronically": 42350, + "steroid": 42351, + "Ġbilaterally": 42352, + "Ġnephritis": 42353, + "Ġirritation": 42354, + "ĠProlonged": 42355, + "Your": 42356, + "heuristic": 42357, + "urgeon": 42358, + "Ġleftmost": 42359, + "ĠREVIEW": 42360, + "Ġgastrectomy": 42361, + "ENTIAL": 42362, + "Means": 42363, + "ĠDyson": 42364, + "Ġbrands": 42365, + "yields": 42366, + "mercapto": 42367, + "rub": 42368, + "ouncement": 42369, + "errno": 42370, + "Ġviewers": 42371, + "butan": 42372, + "ĠMalay": 42373, + "ylindrical": 42374, + "Ġprominently": 42375, + "Ġescaping": 42376, + "Ġquerying": 42377, + "Storage": 42378, + "Fos": 42379, + "codec": 42380, + "ĠcM": 42381, + "strates": 42382, + "glove": 42383, + "ĠTrajectories": 42384, + "Ġsterol": 42385, + "Ġhematopoiesis": 42386, + "Ġcuprates": 42387, + "Ok": 42388, + "daily": 42389, + "ĠBIO": 42390, + "ĠLICENSE": 42391, + "ellations": 42392, + "assy": 42393, + "SURE": 42394, + "Ġepinephrine": 42395, + "Ġdownwards": 42396, + "corner": 42397, + "assertTrue": 42398, + "Ġáºij": 42399, + "ĠSouza": 42400, + "MAG": 42401, + "porph": 42402, + "Ġeffluents": 42403, + "loem": 42404, + "oaddition": 42405, + "obutyl": 42406, + "elestial": 42407, + "Fem": 42408, + "mpi": 42409, + "ĠRs": 42410, + "ellates": 42411, + "ĠKag": 42412, + "Ġuncoupled": 42413, + "Ġlegumes": 42414, + "Ġomitting": 42415, + "û": 42416, + "ĠTABLE": 42417, + "haled": 42418, + "ĠÅģ": 42419, + "Ġmisfit": 42420, + "Ġmolars": 42421, + "otechnological": 42422, + "Markov": 42423, + "Ġpraised": 42424, + "ĠDab": 42425, + "ĠVij": 42426, + "entilation": 42427, + "ĠChatter": 42428, + "Ġboiled": 42429, + "Ġcatches": 42430, + "annotation": 42431, + "Signal": 42432, + "Ġleverages": 42433, + "Ġadvisory": 42434, + "song": 42435, + "ondition": 42436, + "Ġfug": 42437, + "raps": 42438, + "ĠMCD": 42439, + "particip": 42440, + "obian": 42441, + "Ġcounsel": 42442, + "ĠPRP": 42443, + "ediol": 42444, + "ĠŨ": 42445, + "Ġbruce": 42446, + "Shanghai": 42447, + "DataFrame": 42448, + "ĠCorrespondingly": 42449, + "Ġacrylamide": 42450, + "fellow": 42451, + "lob": 42452, + "igt": 42453, + "ĠCrystallization": 42454, + "Ġindomethacin": 42455, + "ĠPDR": 42456, + "giate": 42457, + "ĠPanels": 42458, + "complexes": 42459, + "ĠNicol": 42460, + "Ġfoliar": 42461, + "cubic": 42462, + "ĠdE": 42463, + "ĠCCM": 42464, + "plating": 42465, + "Ġresistors": 42466, + "ĠGaz": 42467, + "Ġoverturn": 42468, + "Ġrepress": 42469, + "Ġpots": 42470, + "ĠPIK": 42471, + "Ġdermis": 42472, + "Represent": 42473, + "ĠAndersson": 42474, + "Ġretrotranspos": 42475, + "ASA": 42476, + "Counter": 42477, + "Tet": 42478, + "imin": 42479, + "performed": 42480, + "ĠNept": 42481, + "Ġheel": 42482, + "rold": 42483, + "aires": 42484, + "Ġreadability": 42485, + "Ġbenefited": 42486, + "Ġpulsation": 42487, + "ĠBalancing": 42488, + "Ġevaporator": 42489, + "Ġeigens": 42490, + "ĠHospit": 42491, + "Ġtrails": 42492, + "ĠCoordinate": 42493, + "accase": 42494, + "ĠHRMS": 42495, + "signaling": 42496, + "ĠNPY": 42497, + "Ġameliorated": 42498, + "tuples": 42499, + "Ġmetasurface": 42500, + "ĠFrancesco": 42501, + "Ġspoof": 42502, + "îŸ": 42503, + "Fu": 42504, + "JK": 42505, + "ej": 42506, + "Ġgoss": 42507, + "ĠHim": 42508, + "Ġprioritized": 42509, + "Ġmesothelioma": 42510, + "idxs": 42511, + "Ġreconnaissance": 42512, + "Ġlamps": 42513, + "ãĢĤ": 42514, + "Ġreformulation": 42515, + "Ġdelirium": 42516, + "ĠNPR": 42517, + "ĠGamb": 42518, + "illas": 42519, + "-----": 42520, + "Ġdrilled": 42521, + "ĠGenotyping": 42522, + "ĠBlank": 42523, + "Ġpropeller": 42524, + "Ġcereals": 42525, + "ĠAirborne": 42526, + "ĠPhotocatalytic": 42527, + "ĠCavity": 42528, + "Ġdolphins": 42529, + "ĠsgRNA": 42530, + "understood": 42531, + "eous": 42532, + "Ġsax": 42533, + "olayer": 42534, + "ĠPend": 42535, + "ĠGET": 42536, + "cled": 42537, + "Ġü": 42538, + "Ġcytosine": 42539, + "Ġparallelization": 42540, + "MMs": 42541, + "ĠOrganisation": 42542, + "Models": 42543, + "Ġaccommodated": 42544, + "Ġcholest": 42545, + "Ġinactivity": 42546, + "ĠBoss": 42547, + "ĠGCS": 42548, + "Ġsoaked": 42549, + "ĠSecreted": 42550, + "Ġvacuolar": 42551, + "zoan": 42552, + "ĠGreene": 42553, + "Ġbolt": 42554, + "bj": 42555, + "ĠTall": 42556, + "Ġstor": 42557, + "ĠMob": 42558, + "Ġblurred": 42559, + "INO": 42560, + "ĠMetallic": 42561, + "uffs": 42562, + "ĠNOTE": 42563, + "Ġsonicated": 42564, + "obutyric": 42565, + "ĠtDCS": 42566, + "ĠNes": 42567, + "ospir": 42568, + "weigh": 42569, + "ĠRegulator": 42570, + "Ġhemolysis": 42571, + "Ġsounding": 42572, + "Ġcruciate": 42573, + "Ġcapsaicin": 42574, + "ĠTyrosine": 42575, + "ĠTell": 42576, + "ĠPEP": 42577, + "ĠRc": 42578, + "ĠEating": 42579, + "ĠGoals": 42580, + "uret": 42581, + "Ġearn": 42582, + "Ġcolleges": 42583, + "Ġchemoattract": 42584, + "Ġỹ": 42585, + "ĠEchocardi": 42586, + "Fort": 42587, + "sodium": 42588, + "amined": 42589, + "ĠNPP": 42590, + "ĠKalu": 42591, + "Ġdecipher": 42592, + "tetramethyl": 42593, + "ĠOPN": 42594, + "straight": 42595, + "Ġtempered": 42596, + "ĠHindu": 42597, + "ĠOrdinary": 42598, + "ĠAChE": 42599, + "JNK": 42600, + "fos": 42601, + "vcpu": 42602, + "enamide": 42603, + "ĠCrack": 42604, + "apical": 42605, + "Ġantiserum": 42606, + "triplet": 42607, + "decision": 42608, + "Ġcancels": 42609, + "ĠPMN": 42610, + "Ġporphy": 42611, + "ĠDSA": 42612, + "Ġsubmatrix": 42613, + "Ġjas": 42614, + "Ġreptiles": 42615, + "ĠSoon": 42616, + "ĠStatistically": 42617, + "Ġleveraged": 42618, + "Williams": 42619, + "FLD": 42620, + "folk": 42621, + "Ġbang": 42622, + "ĠSCL": 42623, + "asses": 42624, + "Ġtendons": 42625, + "founded": 42626, + "ĠRicketts": 42627, + "inset": 42628, + "Ġspun": 42629, + "Ġunramified": 42630, + "Ġrape": 42631, + "ĠZZ": 42632, + "ĠNebula": 42633, + "Ġthrombotic": 42634, + "ĠBoron": 42635, + "ĠArgon": 42636, + "pooling": 42637, + "ĠMarginal": 42638, + "Ġfellowship": 42639, + "Ġerythropoietin": 42640, + "mathpzc": 42641, + "xL": 42642, + "ĠSik": 42643, + "ĠBayer": 42644, + "Ġoverdose": 42645, + "ĠCOI": 42646, + "ĠLesions": 42647, + "ĠCompetitive": 42648, + "ĠODEs": 42649, + "wrap": 42650, + "achlor": 42651, + "Ġsubordinate": 42652, + "ĠYBa": 42653, + "headed": 42654, + "Ġgrasses": 42655, + "Ġbirational": 42656, + "ĠJeffrey": 42657, + "Ġmolding": 42658, + "Ġlidocaine": 42659, + "ĠFOXO": 42660, + "terminated": 42661, + "ĠâĩIJâĩĴ": 42662, + "ĠMEL": 42663, + "ticulum": 42664, + "Ġré": 42665, + "Ġclaud": 42666, + "Ġjamming": 42667, + "Static": 42668, + "Ġtributary": 42669, + "atet": 42670, + "edonia": 42671, + "ĠCMP": 42672, + "ĠVN": 42673, + "represents": 42674, + "SOURCE": 42675, + "uckland": 42676, + "ĠInterests": 42677, + "ĠNanoscale": 42678, + "oconjug": 42679, + "Ġcatalogues": 42680, + "ĠActinobacteria": 42681, + "Fixed": 42682, + "basal": 42683, + "Ġantiparallel": 42684, + "Ġconfusing": 42685, + "Ġmarkings": 42686, + "Ġdistinctions": 42687, + "ĠHua": 42688, + "ĠWatts": 42689, + "Ġnanofluid": 42690, + "Ġdiffractometer": 42691, + "Later": 42692, + "migration": 42693, + "Ġcoplanar": 42694, + "Ġhypomethyl": 42695, + "PDS": 42696, + "SOs": 42697, + "Correspond": 42698, + "Ġelucidating": 42699, + "IZED": 42700, + "EVs": 42701, + "gart": 42702, + "mTc": 42703, + "ĠTUR": 42704, + "uracies": 42705, + "Ġfollower": 42706, + "Ġhaze": 42707, + "OUTPUT": 42708, + "ĠMyeloid": 42709, + "BUFFER": 42710, + "Camp": 42711, + "anim": 42712, + "ĠTES": 42713, + "ĠCricket": 42714, + "ĠPaired": 42715, + "ĠPAGE": 42716, + "ĠBid": 42717, + "Ġyrs": 42718, + "Ġendow": 42719, + "ircase": 42720, + "ĠSupported": 42721, + "Ġleaflet": 42722, + "ĠPromoter": 42723, + "Ġconvinced": 42724, + "liers": 42725, + "hera": 42726, + "Ġseller": 42727, + "agreement": 42728, + "Ġunary": 42729, + "onstructed": 42730, + "Ġrestrained": 42731, + "ĠPetersen": 42732, + "Analog": 42733, + "Ġexacerbations": 42734, + "Ġperforated": 42735, + "tids": 42736, + "ĠMSH": 42737, + "oui": 42738, + "ĠCori": 42739, + "ĠCruc": 42740, + "Ġfracturing": 42741, + "Ġinfertile": 42742, + "ĠPROBLEM": 42743, + "ĠFriedmann": 42744, + "Ġspectrophotometry": 42745, + "ERGY": 42746, + "otus": 42747, + "proposed": 42748, + "ĠMoisture": 42749, + "ĠNoether": 42750, + "ĠLaunch": 42751, + "ĠLearn": 42752, + "Ġvena": 42753, + "Ġfasci": 42754, + "Ġquiescence": 42755, + "ĠPrand": 42756, + "ĠConvert": 42757, + "Ġtriage": 42758, + "ANE": 42759, + "Ġfeedstock": 42760, + "ĠdBm": 42761, + "Ġneoformans": 42762, + "GSE": 42763, + "ĠAPE": 42764, + "Ġcardiometabolic": 42765, + "Ġmagnetometer": 42766, + "Environment": 42767, + "Ġfulfills": 42768, + "ĠManganese": 42769, + "BMP": 42770, + "ĠRatios": 42771, + "istable": 42772, + "assume": 42773, + "Ġrespected": 42774, + "Ġscars": 42775, + "Ġsupporters": 42776, + "ĠAugmentation": 42777, + "Ġglycosylated": 42778, + "ĠUltrafast": 42779, + "Ġdemethylation": 42780, + "metastatic": 42781, + "cylinder": 42782, + "Ġhang": 42783, + "ĠMAV": 42784, + "disjoint": 42785, + "pharose": 42786, + "ĠLebanon": 42787, + "PIs": 42788, + "labeling": 42789, + "Ġneutralino": 42790, + "ĠSOCS": 42791, + "xcb": 42792, + "ĠTerritory": 42793, + "ĠPolicies": 42794, + "King": 42795, + "Ġallied": 42796, + "Ġsaturates": 42797, + "muscle": 42798, + "odimers": 42799, + "Ġbt": 42800, + "ĠHang": 42801, + "ĠEb": 42802, + "Ġchimer": 42803, + "Ġnotational": 42804, + "Ġcolder": 42805, + "ultz": 42806, + "transverse": 42807, + "HOUT": 42808, + "ĠKarls": 42809, + "torsion": 42810, + "JI": 42811, + "Ġmari": 42812, + "emon": 42813, + "Ġlogarithmically": 42814, + "ĠâIJ¦": 42815, + "ìĿĦ": 42816, + "Ġaeration": 42817, + "Ġsoma": 42818, + "ĠSomal": 42819, + "Ġspoil": 42820, + "diver": 42821, + "Ġbreakpoints": 42822, + "ĠHarmon": 42823, + "Ġpharmacologic": 42824, + "ĠMosquito": 42825, + "ĠModifications": 42826, + "Ġadjo": 42827, + "ĠPapers": 42828, + "generally": 42829, + "ïĺ¹": 42830, + "TARGET": 42831, + "ĠPrix": 42832, + "ocaps": 42833, + "ĠEin": 42834, + "Ġmicrogrid": 42835, + "ĠInterplay": 42836, + "Ġcopying": 42837, + "Alpha": 42838, + "ĠSlope": 42839, + "ĠLipofectamine": 42840, + "highest": 42841, + "DRO": 42842, + "ĠHipp": 42843, + "Ġshaken": 42844, + "Ġunderline": 42845, + "Ġfilmed": 42846, + "maturity": 42847, + "icture": 42848, + "ILS": 42849, + "Span": 42850, + "Ġinverters": 42851, + "QUE": 42852, + "determining": 42853, + "Ġeosinophilic": 42854, + "DY": 42855, + "ĠLID": 42856, + "ĠGig": 42857, + "Ġintraepithelial": 42858, + "NbO": 42859, + "freedom": 42860, + "Ġassured": 42861, + "ĠArche": 42862, + "ĠSubstitution": 42863, + "ĠSrivastava": 42864, + "ĠMozamb": 42865, + "Ġaro": 42866, + "orc": 42867, + "ĠIbrahim": 42868, + "ĠDST": 42869, + "Ġabl": 42870, + "Ġxer": 42871, + "ountable": 42872, + "Ġlossless": 42873, + "Ġconcentrating": 42874, + "Ġstains": 42875, + "ĠSolve": 42876, + "continuity": 42877, + "ĠTorr": 42878, + "Ġpitfalls": 42879, + "bestos": 42880, + "Otherwise": 42881, + "adhyay": 42882, + "bard": 42883, + "ĠCAA": 42884, + "odetic": 42885, + "Ġasthmatic": 42886, + "Ġrationality": 42887, + "ĠYorkshire": 42888, + "neighborhood": 42889, + "Ġheroin": 42890, + "Ġscatterers": 42891, + "ĠHearing": 42892, + "ĠEFT": 42893, + "ĠNurses": 42894, + "ĠGLI": 42895, + "ĠZeta": 42896, + "ĠNeigh": 42897, + "Ġventure": 42898, + "Ġtoxicological": 42899, + "Ġrolls": 42900, + "fv": 42901, + "Ġcrick": 42902, + "ĠdÏī": 42903, + "avia": 42904, + "elder": 42905, + "Ġinvade": 42906, + "extracted": 42907, + "MLP": 42908, + "ĠPAI": 42909, + "ĠMellitus": 42910, + "Ġbrucei": 42911, + "gpio": 42912, + "emotional": 42913, + "ĠDale": 42914, + "ĠEz": 42915, + "Ġtransactivation": 42916, + "Ġquantiles": 42917, + "Ġnucleosynthesis": 42918, + "ĠAmel": 42919, + "Ġchromophore": 42920, + "Ġliterally": 42921, + "bandwidth": 42922, + "atohepatitis": 42923, + "Ġultrafiltration": 42924, + "Martin": 42925, + "Ġangioplasty": 42926, + "insertion": 42927, + "Dan": 42928, + "squeeze": 42929, + "usr": 42930, + "uconazole": 42931, + "ĠFAR": 42932, + "Ġshadows": 42933, + "Ġimitation": 42934, + "ĠKann": 42935, + "hesi": 42936, + "Ġmicellar": 42937, + "vester": 42938, + "ĠPerse": 42939, + "acetamol": 42940, + "GRAPH": 42941, + "ĠAIPS": 42942, + "Ġpromptly": 42943, + "anchor": 42944, + "Ġischaemia": 42945, + "pump": 42946, + "Ġmafic": 42947, + "Ġlazy": 42948, + "ĠCEL": 42949, + "ĠGorenstein": 42950, + "ĠWGS": 42951, + "Ġsignifies": 42952, + "Ġsplines": 42953, + "determination": 42954, + "Ġrelaying": 42955, + "piperazine": 42956, + "Ġsyncytial": 42957, + "ĠAub": 42958, + "ĠDX": 42959, + "Ġorthotopic": 42960, + "ĠLinkage": 42961, + "Ġharmony": 42962, + "ĠKazakh": 42963, + "ĠVladimir": 42964, + "Ġpray": 42965, + "imolar": 42966, + "Ġgrayscale": 42967, + "Ġanalyst": 42968, + "ĠTransl": 42969, + "Ġmeniscus": 42970, + "ĠMedica": 42971, + "osaurus": 42972, + "Ġв": 42973, + "Ġinfiltrated": 42974, + "Ġâĸ³": 42975, + "Ġsaccades": 42976, + "Ġdisentangle": 42977, + "Hart": 42978, + "fined": 42979, + "Ġbicycle": 42980, + "ository": 42981, + "unlikely": 42982, + "erephthal": 42983, + "ĠLia": 42984, + "Ġgroupings": 42985, + "Ġcategorize": 42986, + "Ġbiogeography": 42987, + "ĠAPPROACH": 42988, + "ĠNing": 42989, + "ĠGrap": 42990, + "versa": 42991, + "Ġradiologists": 42992, + "ĠRecording": 42993, + "Ġboiler": 42994, + "adders": 42995, + "Candid": 42996, + "MQ": 42997, + "Ġbw": 42998, + "ĠSector": 42999, + "ĠHIT": 43000, + "ĠESCC": 43001, + "essence": 43002, + "orean": 43003, + "estyles": 43004, + "SUCCESS": 43005, + "nein": 43006, + "ultra": 43007, + "ramp": 43008, + "Thomas": 43009, + "ĠPrepar": 43010, + "ĠInstitut": 43011, + "Ġherbicide": 43012, + "ĠChaotic": 43013, + "Ġsphincter": 43014, + "Ġcompactifications": 43015, + "Clear": 43016, + "Trp": 43017, + "Decoder": 43018, + "Ġsapphire": 43019, + "ĠIdaho": 43020, + "persing": 43021, + "chiral": 43022, + "ĠDischarge": 43023, + "Accordingly": 43024, + "ĠArthritis": 43025, + "ĠJaneiro": 43026, + "nj": 43027, + "ĠKd": 43028, + "Ġoutlets": 43029, + "Ġsusceptibilities": 43030, + "Ġdiverged": 43031, + "Ġroller": 43032, + "sufficient": 43033, + "clustering": 43034, + "ĠTehran": 43035, + "Ġtb": 43036, + "blank": 43037, + "Ġdigitally": 43038, + "Ġnecrotizing": 43039, + "FALSE": 43040, + "Ġwhor": 43041, + "errals": 43042, + "ĠMotivated": 43043, + "enzae": 43044, + "ĠRefinement": 43045, + "Ġticket": 43046, + "Ġprotrusions": 43047, + "ĠDonaldson": 43048, + "ĠBeth": 43049, + "Ġsputtered": 43050, + "Ġautocrine": 43051, + "copene": 43052, + "Ġcollar": 43053, + "Ġuppermost": 43054, + "Ġoxygenated": 43055, + "Intro": 43056, + "âĨIJ": 43057, + "ĠHippo": 43058, + "Ġdune": 43059, + "idines": 43060, + "ĠHä": 43061, + "Ġregi": 43062, + "Ġnois": 43063, + "Ġphotodiode": 43064, + "ĠFeb": 43065, + "mutated": 43066, + "ĠCFL": 43067, + "stepping": 43068, + "Selection": 43069, + "ĠWebster": 43070, + "ĠHERA": 43071, + "indicating": 43072, + "Ġtrainees": 43073, + "Rot": 43074, + "ĠFAK": 43075, + "ĠAsn": 43076, + "Ġfats": 43077, + "foliation": 43078, + "Ġarticulation": 43079, + "Ġcusps": 43080, + "ĠJennifer": 43081, + "Ġintimately": 43082, + "ĠPing": 43083, + "sov": 43084, + "oxious": 43085, + "hydrate": 43086, + "ĠArchives": 43087, + "Gonz": 43088, + "Ġé": 43089, + "Ġchl": 43090, + "ĠOLS": 43091, + "coph": 43092, + "Ġairline": 43093, + "Ġfoetal": 43094, + "ĠRolling": 43095, + "ĠGENERAL": 43096, + "ONAL": 43097, + "agons": 43098, + "ĠDorsal": 43099, + "Ġritual": 43100, + "butyrate": 43101, + "oglut": 43102, + "Ġhexa": 43103, + "ĠSyria": 43104, + "Ġontogeny": 43105, + "ĠFBG": 43106, + "coverage": 43107, + "Ġtachyon": 43108, + "ĠPermanent": 43109, + "lum": 43110, + "Ġsv": 43111, + "Ġoo": 43112, + "energetic": 43113, + "altitude": 43114, + "Inc": 43115, + "ĠNebraska": 43116, + "ĠRESP": 43117, + "Ġdysbiosis": 43118, + "Ġmarketed": 43119, + "oxicillin": 43120, + "ĠBroadcast": 43121, + "racyclo": 43122, + "ĠFifteen": 43123, + "ĠNarayan": 43124, + "Ġlettuce": 43125, + "orea": 43126, + "Ġintercepts": 43127, + "Ġworkstation": 43128, + "ĠPlains": 43129, + "CCL": 43130, + "Ġorientable": 43131, + "ĠBoosting": 43132, + "ĠSOI": 43133, + "ĠChecking": 43134, + "ĠFIFO": 43135, + "Ġinsets": 43136, + "ĠSRT": 43137, + "Ġacrom": 43138, + "owner": 43139, + "MIX": 43140, + "ĠArb": 43141, + "Ġfaeces": 43142, + "ĠCarlson": 43143, + "Ġperivascular": 43144, + "infiltrating": 43145, + "Ìħ": 43146, + "Ġmalle": 43147, + "ocate": 43148, + "ĠBold": 43149, + "unctive": 43150, + "excess": 43151, + "Ġloosen": 43152, + "Ġprioritization": 43153, + "Ġannotate": 43154, + "Ġgrammars": 43155, + "Ġbred": 43156, + "Ġexocytosis": 43157, + "ĠDahl": 43158, + "athyroidism": 43159, + "veli": 43160, + "Ġopted": 43161, + "Ġsmoked": 43162, + "ĠPlates": 43163, + "EMG": 43164, + "ROW": 43165, + "IFIC": 43166, + "OLS": 43167, + "oregulatory": 43168, + "Ġwhiskers": 43169, + "secretase": 43170, + "Ġexaggerated": 43171, + "ĠBib": 43172, + "deformed": 43173, + "Ġzur": 43174, + "ropine": 43175, + "Ġpairings": 43176, + "chromosome": 43177, + "Elements": 43178, + "priority": 43179, + "Ġlyophilized": 43180, + "ĠChaudh": 43181, + "Wilk": 43182, + "ĠCation": 43183, + "otta": 43184, + "Ġnonconvex": 43185, + "Ġdepolymer": 43186, + "MMARY": 43187, + "Controlled": 43188, + "carboxy": 43189, + "Ġaugmenting": 43190, + "Ġappointments": 43191, + "Ġtraversed": 43192, + "ĠFletcher": 43193, + "Ġexpiratory": 43194, + "Ġelephant": 43195, + "ĠBlocks": 43196, + "ĠFluids": 43197, + "walls": 43198, + "increased": 43199, + "propanamide": 43200, + "ĠAkaike": 43201, + "ĠCBM": 43202, + "ĠEcho": 43203, + "admissible": 43204, + "Ġdisassembly": 43205, + "ĠarXiv": 43206, + "icke": 43207, + "LIST": 43208, + "phenotype": 43209, + "ĠProvincial": 43210, + "legend": 43211, + "PAS": 43212, + "rnn": 43213, + "sand": 43214, + "Ġbariatric": 43215, + "ĠPush": 43216, + "ĠApoE": 43217, + "caprolactone": 43218, + "modeling": 43219, + "Ġŵ": 43220, + "Ġsupercapacitors": 43221, + "oron": 43222, + "ĠpK": 43223, + "strophy": 43224, + "ĠSuc": 43225, + "unda": 43226, + "team": 43227, + "Ġitiner": 43228, + "Ġswell": 43229, + "ĠBioactive": 43230, + "ĠIndicators": 43231, + "ĠIFT": 43232, + "ĠDK": 43233, + "Ġcapit": 43234, + "shapes": 43235, + "Ġtrachea": 43236, + "delayed": 43237, + "ĠGuangdong": 43238, + "Lepid": 43239, + "TGA": 43240, + "hk": 43241, + "olon": 43242, + "ogenin": 43243, + "ĠAck": 43244, + "Ġlogically": 43245, + "contributions": 43246, + "ĠCleavage": 43247, + "hurst": 43248, + "bdd": 43249, + "STD": 43250, + "ĠFut": 43251, + "tek": 43252, + "ĠInher": 43253, + "Ġchemis": 43254, + "Ġbreakpoint": 43255, + "estimates": 43256, + "ĠOttoman": 43257, + "ĠNafion": 43258, + "WIDTH": 43259, + "Ġsizable": 43260, + "ĠTsu": 43261, + "embolic": 43262, + "Ġrightmost": 43263, + "ĠCellulose": 43264, + "ictionaries": 43265, + "ĠMycoplasma": 43266, + "ĠBurgers": 43267, + "ĠKeplerian": 43268, + "UCTION": 43269, + "VB": 43270, + "Ġbcc": 43271, + "raid": 43272, + "ENDIX": 43273, + "Ġscoping": 43274, + "ĠPRI": 43275, + "ĠCdSe": 43276, + "ĠGreedy": 43277, + "ĠHammer": 43278, + "ĠBacteroides": 43279, + "informative": 43280, + "Ġresembled": 43281, + "yllium": 43282, + "Twenty": 43283, + "Ġpounds": 43284, + "Ġunpolarized": 43285, + "Ġconfigure": 43286, + "Ġtranscriptionally": 43287, + "Ġmicroscale": 43288, + "ĠPutting": 43289, + "Ġpyrrol": 43290, + "ĠLASSO": 43291, + "filtration": 43292, + "Ġtech": 43293, + "performing": 43294, + "Along": 43295, + "ĠCTLA": 43296, + "Ġauthorization": 43297, + "URAL": 43298, + "Ġleaky": 43299, + "Optical": 43300, + "ĠReveal": 43301, + "ĠHUVECs": 43302, + "Wu": 43303, + "custom": 43304, + "dible": 43305, + "Ġ": 43306, + "CDCl": 43307, + "Ġemphys": 43308, + "Neut": 43309, + "collagen": 43310, + "necessarily": 43311, + "ĠRoots": 43312, + "Pose": 43313, + "Tu": 43314, + "Ġclue": 43315, + "Ġperturbing": 43316, + "ĠHelium": 43317, + "ĠCombustion": 43318, + "nitrogen": 43319, + "amplified": 43320, + "prove": 43321, + "ĠSoils": 43322, + "normalization": 43323, + "ĠCHOP": 43324, + "ĠMcLe": 43325, + "Ġstrikes": 43326, + "Ġcropped": 43327, + "ĠKuo": 43328, + "Ġvagal": 43329, + "Ġdinucleotide": 43330, + "ĠIsaac": 43331, + "ĠLOX": 43332, + "Ġdirectionality": 43333, + "Ġchemoradiotherapy": 43334, + "calculus": 43335, + "ĠMohammed": 43336, + "mapped": 43337, + "Ġreforms": 43338, + "Ġreordering": 43339, + "ĠBm": 43340, + "ĠESCs": 43341, + "ĠNUC": 43342, + "thaw": 43343, + "Ġnanoporous": 43344, + "Ġtrainable": 43345, + "ĠATT": 43346, + "feats": 43347, + "OFDM": 43348, + "ĠSHP": 43349, + "ĠRichter": 43350, + "Ġsprayed": 43351, + "ĠJefferson": 43352, + "FOX": 43353, + "bh": 43354, + "otte": 43355, + "Ġleiomy": 43356, + "ospores": 43357, + "specificity": 43358, + "ĠRefer": 43359, + "ĠHaas": 43360, + "Move": 43361, + "Materials": 43362, + "tec": 43363, + "utility": 43364, + "entional": 43365, + "ĠMPP": 43366, + "chond": 43367, + "Ġseepage": 43368, + "Ġpeach": 43369, + "ĠÎĶt": 43370, + "embryonic": 43371, + "Yan": 43372, + "Ġliposomal": 43373, + "ĠValencia": 43374, + "ĠEndo": 43375, + "ĠPAO": 43376, + "Ġdialect": 43377, + "Ġchondrocyte": 43378, + "ĠMillimeter": 43379, + "ĠRegularity": 43380, + "destroy": 43381, + "ĠCondensation": 43382, + "Bayes": 43383, + "abundance": 43384, + "ĠdU": 43385, + "ĠSSI": 43386, + "ĠHAND": 43387, + "Ġconsulted": 43388, + "Ġsuppliers": 43389, + "Ġdemo": 43390, + "registered": 43391, + "Ġmicrosomal": 43392, + "Ġlambs": 43393, + "responsiveness": 43394, + "Dy": 43395, + "GAS": 43396, + "UME": 43397, + "Ġaero": 43398, + "Ġcalmodulin": 43399, + "Ġcalcined": 43400, + "Ġinsula": 43401, + "ĠMei": 43402, + "ĠREAL": 43403, + "Ġcontractible": 43404, + "ĠEssentially": 43405, + "Ġgaming": 43406, + "Ġspillover": 43407, + "residues": 43408, + "âİ": 43409, + "ĠEMC": 43410, + "ĠSDE": 43411, + "ĠSerine": 43412, + "ecki": 43413, + "ĠPrinceton": 43414, + "ĠBACKGROUND": 43415, + "masks": 43416, + "ĠLom": 43417, + "ffield": 43418, + "efitinib": 43419, + "Ġpatents": 43420, + "ĠBez": 43421, + "loads": 43422, + "Ġgonadal": 43423, + "Ġnitrocellulose": 43424, + "âĻĤ": 43425, + "Ġthrown": 43426, + "Ġrectification": 43427, + "mina": 43428, + "iscid": 43429, + "ĠBiobank": 43430, + "paramagnetic": 43431, + "GSK": 43432, + "ĠDerivative": 43433, + "criterion": 43434, + "ĠMonthly": 43435, + "ë¥": 43436, + "ĠSichuan": 43437, + "Ġimmunologic": 43438, + "Ġheterotic": 43439, + "ĠMcCl": 43440, + "ĠSMART": 43441, + "ĠBatteries": 43442, + "Ġpremiered": 43443, + "Ġcryopreservation": 43444, + "Nu": 43445, + "valho": 43446, + "Ġflotation": 43447, + "topological": 43448, + "ĠNanjing": 43449, + "Ġjuxt": 43450, + "ĠFeder": 43451, + "Ġprofoundly": 43452, + "cad": 43453, + "ienced": 43454, + "chuk": 43455, + "ĠIng": 43456, + "ĠKSHV": 43457, + "aminobenz": 43458, + "ĉĉĉĠĠĠ": 43459, + "Ġmetaph": 43460, + "ĠEpidemic": 43461, + "ĠAssociate": 43462, + "Ġsaccade": 43463, + "Ġdawn": 43464, + "Ġreheating": 43465, + "Ġspell": 43466, + "fractive": 43467, + "ĠToolkit": 43468, + "Ġrecognise": 43469, + "pathogen": 43470, + "Ġophthalmic": 43471, + "Ġqueried": 43472, + "thens": 43473, + "ithine": 43474, + "umably": 43475, + "Ġstrides": 43476, + "haul": 43477, + "Ġpassion": 43478, + "Ġdysfunctions": 43479, + "Byte": 43480, + "Ġcaesarean": 43481, + "prey": 43482, + "ĠHorse": 43483, + "ĠGABAA": 43484, + "Natural": 43485, + "kos": 43486, + "inators": 43487, + "odings": 43488, + "ARRAY": 43489, + "Ġunipotent": 43490, + "Ġelectromy": 43491, + "compart": 43492, + "Liu": 43493, + "encephalic": 43494, + "ĠCOMPAR": 43495, + "Ġsymbionts": 43496, + "ivacaine": 43497, + "OI": 43498, + "PVA": 43499, + "ĠNVIDIA": 43500, + "calibrated": 43501, + "Ġquest": 43502, + "NAD": 43503, + "ĠXyl": 43504, + "Ġpharmacist": 43505, + "directly": 43506, + "Ġquadruple": 43507, + "ethanone": 43508, + "ĠBulgaria": 43509, + "Ġoviposition": 43510, + "runs": 43511, + "Ġnociceptive": 43512, + "Ġasexual": 43513, + "SULT": 43514, + "Ġwouldn": 43515, + "ĠIndustries": 43516, + "abilizing": 43517, + "ĠCompressive": 43518, + "COOH": 43519, + "USH": 43520, + "kiewicz": 43521, + "Ġigneous": 43522, + "Ġdisappoint": 43523, + "ĠCKM": 43524, + "ĠDiagrams": 43525, + "ĠFlam": 43526, + "ĠGould": 43527, + "Ġcoenzyme": 43528, + "Ġparan": 43529, + "Ġ¶": 43530, + "Ġprogrammer": 43531, + "ĠTransforming": 43532, + "Ġmuscarinic": 43533, + "onucleotide": 43534, + "FIELD": 43535, + "ĠFuji": 43536, + "Ġnondec": 43537, + "Ġblanket": 43538, + "Ġpredisposing": 43539, + "ĠTrigger": 43540, + "Ġwelcome": 43541, + "Family": 43542, + "UINT": 43543, + "hfill": 43544, + "tvb": 43545, + "ĠBatt": 43546, + "Ġunmet": 43547, + "ĠApo": 43548, + "otient": 43549, + "Ġfundus": 43550, + "ĠLearned": 43551, + "Ġintrusions": 43552, + "Ġsolubilization": 43553, + "fundamental": 43554, + "ĠSantiago": 43555, + "Ġhpi": 43556, + "throw": 43557, + "ĠInto": 43558, + "timeout": 43559, + "Ġthickened": 43560, + "iasm": 43561, + "Ġgravitino": 43562, + "branched": 43563, + "VIII": 43564, + "Ġoch": 43565, + "Ġgym": 43566, + "ĠKrylov": 43567, + "Ġcorrective": 43568, + "ĠInstitution": 43569, + "Ġcrimes": 43570, + "ĠBacteroidetes": 43571, + "ĠEhr": 43572, + "Ġseated": 43573, + "rolizumab": 43574, + "Ġfactorized": 43575, + "rotational": 43576, + "Ġadministrators": 43577, + "âĭĨ": 43578, + "ineralization": 43579, + "lining": 43580, + "âĹ": 43581, + "urai": 43582, + "ĠFAP": 43583, + "ĠFisheries": 43584, + "ĠESO": 43585, + 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44218, + "Ġsixty": 44219, + "Ġethers": 44220, + "Ġfinancially": 44221, + "ĠmHealth": 44222, + "ĠTut": 44223, + "Ġlaryng": 44224, + "ĠGs": 44225, + "ĠWatch": 44226, + "Ġsev": 44227, + "Ġital": 44228, + "assed": 44229, + "Ġ÷": 44230, + "ĠConsent": 44231, + "Ġnuts": 44232, + "vitreal": 44233, + "Ġmetaphase": 44234, + "Ġtitania": 44235, + "Ġfoils": 44236, + "Ġgalectin": 44237, + "initialize": 44238, + "Ġadvisor": 44239, + "Ġadministering": 44240, + "Bool": 44241, + "Ġcem": 44242, + "Ġreforming": 44243, + "Ġgn": 44244, + "ysh": 44245, + "Ġattor": 44246, + "SCI": 44247, + "Exc": 44248, + "builder": 44249, + "Ġcerium": 44250, + "Ġregistries": 44251, + "ĠMatsumoto": 44252, + "Ġtempting": 44253, + "isha": 44254, + "Ġreorientation": 44255, + "ĠMold": 44256, + "ĠRAGE": 44257, + "yson": 44258, + "Ġunequiv": 44259, + "Ġrelocation": 44260, + "ĠÃķ": 44261, + "ĠReform": 44262, + "ĠREQU": 44263, + "Ġcommensurate": 44264, + "catalog": 44265, + "ĠTPS": 44266, + "Ġlamb": 44267, + "Ġprefactor": 44268, + "archy": 44269, + "Ġdopants": 44270, + "drv": 44271, + "ĠPARAMET": 44272, + "schedule": 44273, + "ochemically": 44274, + "ĠeHealth": 44275, + "unas": 44276, + "ĠPinus": 44277, + "ĠHSA": 44278, + "Ġinterrelations": 44279, + "Ġdepot": 44280, + "ĠPlatinum": 44281, + "Ġlifelong": 44282, + "Ġpersistently": 44283, + "ĠParadox": 44284, + "ĠConformational": 44285, + "esophag": 44286, + "ĠAAT": 44287, + "plin": 44288, + "ĠFCN": 44289, + "ĠDt": 44290, + "oposide": 44291, + "Ġchal": 44292, + "Ġhalt": 44293, + "ĠDetect": 44294, + "Ġdiscriminated": 44295, + "ĠLagrangians": 44296, + "Appro": 44297, + "Ġȧ": 44298, + "Ġimpulsivity": 44299, + "BAT": 44300, + "Chemical": 44301, + "gather": 44302, + "ĠUNC": 44303, + "intron": 44304, + "ĠSimulator": 44305, + "ĠGla": 44306, + "TTT": 44307, + "ĠVolatile": 44308, + "Ġsubsid": 44309, + "ĠBroadcasting": 44310, + "Ġstreptozotocin": 44311, + "Ġfumar": 44312, + "ĠMPEG": 44313, + "Ġinfluenzae": 44314, + "subjects": 44315, + "Ġappropriateness": 44316, + "Ġarcmin": 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45163, + "ĠPowers": 45164, + "ĠShapley": 45165, + "Lore": 45166, + "Ġawa": 45167, + "alach": 45168, + "ĠFon": 45169, + "ensate": 45170, + "Ġoptima": 45171, + "INF": 45172, + "Ġpolygenic": 45173, + "Ġmesoderm": 45174, + "Conver": 45175, + "BRID": 45176, + "ĠHelp": 45177, + "ĠRasmussen": 45178, + "Ġprokaryotes": 45179, + "ĠEurasian": 45180, + "ĠPermeability": 45181, + "Ġnau": 45182, + "ĠClem": 45183, + "odilation": 45184, + "ĠDiaz": 45185, + "itious": 45186, + "ĠChad": 45187, + "ORA": 45188, + "ĠSimons": 45189, + "ĠDistances": 45190, + "Ġastrometric": 45191, + "ĠCPUs": 45192, + "Ġthioredoxin": 45193, + "perturbation": 45194, + "Ġdendrimer": 45195, + "algal": 45196, + "Ġceliac": 45197, + "asz": 45198, + "ĠPPE": 45199, + "qua": 45200, + "ĠBoll": 45201, + "chr": 45202, + "Ġpreview": 45203, + "ĠProjections": 45204, + "ĠAsians": 45205, + "ĠInferring": 45206, + "ĠNaive": 45207, + "ĠHiggins": 45208, + "ĠLocated": 45209, + "cardiac": 45210, + "ĠLarson": 45211, + "hazard": 45212, + "ĠScientists": 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45361, + "ĠLnc": 45362, + "Ġhydrocephalus": 45363, + "Ġhomological": 45364, + "Ġcarbonic": 45365, + "ĠHiSeq": 45366, + "community": 45367, + "Ġcephalospor": 45368, + "Ġhostile": 45369, + "provide": 45370, + "Ġskyrmion": 45371, + "DAG": 45372, + "Ġcnt": 45373, + "Ġhay": 45374, + "Ġorderings": 45375, + "Ġflock": 45376, + "HEA": 45377, + "ĠNeurom": 45378, + "Ġboosts": 45379, + "ĠCardinal": 45380, + "ĠBachelor": 45381, + "Ġdecent": 45382, + "ĠYak": 45383, + "Ġcalcd": 45384, + "ĠBoer": 45385, + "Ġtranscriptomics": 45386, + "Ġrearranged": 45387, + "ĠPolymorphisms": 45388, + "ĠPrasad": 45389, + "oinositide": 45390, + "bars": 45391, + "Ġãģ": 45392, + "ĠSAA": 45393, + "Ġonion": 45394, + "agel": 45395, + "ĠHp": 45396, + "ogrel": 45397, + "divisions": 45398, + "andan": 45399, + "arias": 45400, + "Ġcolo": 45401, + "ragon": 45402, + "Ġschizophren": 45403, + "âī¡": 45404, + "Ġreplicative": 45405, + "Ġdegenerated": 45406, + "Ġsteepest": 45407, + "Volume": 45408, + "IENT": 45409, + "Public": 45410, + "Ten": 45411, + "enberger": 45412, + "ĠCoun": 45413, + "ĠEpp": 45414, + "izo": 45415, + "Ġcomplexed": 45416, + "Ġferroc": 45417, + "kenstein": 45418, + "ĠJerry": 45419, + "Ġparadoxical": 45420, + "xg": 45421, + "icer": 45422, + "osol": 45423, + "Ġannu": 45424, + "Ġankyl": 45425, + "chung": 45426, + "entious": 45427, + "Ġpreshe": 45428, + "enetic": 45429, + "ĠHealing": 45430, + "ĠParabolic": 45431, + "Ġfigs": 45432, + "ĠKinematic": 45433, + "Ġobligate": 45434, + "ĠLayout": 45435, + "Ġtelemedicine": 45436, + "ĠLennard": 45437, + "pci": 45438, + "arone": 45439, + "ĠZach": 45440, + "Ġprototyping": 45441, + "ĠMetagen": 45442, + "IMAL": 45443, + "conscious": 45444, + "Ġquadrilateral": 45445, + "ĠUncertainties": 45446, + "ĠPrefecture": 45447, + "GBM": 45448, + "rals": 45449, + "alus": 45450, + "Ġhopes": 45451, + "Ġclicks": 45452, + "ĠJD": 45453, + "lectance": 45454, + "Ġpathologists": 45455, + "ussels": 45456, + "tisone": 45457, + "CPT": 45458, + "Ġmiscon": 45459, + "ĠNeurode": 45460, + 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"Ġcorps": 45753, + "ĉĉĠĠ": 45754, + "Ġprompts": 45755, + "MSH": 45756, + "ĠAgrawal": 45757, + "Ġlysosome": 45758, + "integrin": 45759, + "ĠỸ": 45760, + "Ġnondecreasing": 45761, + "ĠRequest": 45762, + "ĠREP": 45763, + "occus": 45764, + "Ġlagrangian": 45765, + "oregulation": 45766, + "ол": 45767, + "ĠBoson": 45768, + "Iso": 45769, + "atellites": 45770, + "resectable": 45771, + "riv": 45772, + "Ġdeaminase": 45773, + "Ġcoheren": 45774, + "Ġdecoy": 45775, + "ĠExtinction": 45776, + "acetone": 45777, + "Ġgovernmental": 45778, + "Ġcumulants": 45779, + "Ġviscosities": 45780, + "Register": 45781, + "documented": 45782, + "Ġimmortalized": 45783, + "DPP": 45784, + "Gel": 45785, + "bron": 45786, + "kow": 45787, + "ĠProportion": 45788, + "ĠChase": 45789, + "ĠClad": 45790, + "Ġadapts": 45791, + "ĠCAV": 45792, + "Ġż": 45793, + "Ġpelleted": 45794, + "Ġpenguin": 45795, + "ĠZhejiang": 45796, + "feasible": 45797, + "DIV": 45798, + "iya": 45799, + "Ġthrowing": 45800, + "resia": 45801, + "ĠNr": 45802, + 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"VG": 46396, + "ĠTav": 46397, + "ĠAssim": 46398, + "ĠLeung": 46399, + "dependency": 46400, + "largest": 46401, + "ĠDOE": 46402, + "Ġaligns": 46403, + "oflurane": 46404, + "ĠAdjusted": 46405, + "Ġpeculiarities": 46406, + "decrease": 46407, + "ĠPlacement": 46408, + "vig": 46409, + "zak": 46410, + "Ġpenta": 46411, + "Ġfres": 46412, + "Ġacros": 46413, + "Ġsolvability": 46414, + "ansions": 46415, + "ALA": 46416, + "Ġmalfunction": 46417, + "ĠGiovanni": 46418, + "AOR": 46419, + "Had": 46420, + "Ġporn": 46421, + "undice": 46422, + "ĠUi": 46423, + "Ġexpelled": 46424, + "ĠAnk": 46425, + "Ġdiscounting": 46426, + "ĠRegulating": 46427, + "astery": 46428, + "phenylethyl": 46429, + "Ġcastration": 46430, + "Ġerythromycin": 46431, + "Ġbifunctional": 46432, + "��": 46433, + "ĠAlgeria": 46434, + "mess": 46435, + "Ġwis": 46436, + "ĠTay": 46437, + "assumed": 46438, + "Ġescalation": 46439, + "Ġhydroper": 46440, + "Ġcallosum": 46441, + "Ġatomization": 46442, + "ĠSAW": 46443, + "Ġacetylcholinesterase": 46444, 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"umbai": 46493, + "Ġarchived": 46494, + "ĠDurham": 46495, + "âĸĪ": 46496, + "ĠVermont": 46497, + "Ġpw": 46498, + "essen": 46499, + "Ġconstexpr": 46500, + "ĠPruss": 46501, + "Ġsharpness": 46502, + "divide": 46503, + "primitive": 46504, + "Ġacrylate": 46505, + "MYC": 46506, + "ĠMonday": 46507, + "ĠSrinivas": 46508, + "Born": 46509, + "attice": 46510, + "omorpha": 46511, + "ĠMERS": 46512, + "ĠFactory": 46513, + "ĠWN": 46514, + "rectile": 46515, + "Ġheats": 46516, + "UNK": 46517, + "Ġsynchronize": 46518, + "ĠAttenuation": 46519, + "Children": 46520, + "Pat": 46521, + "pregnant": 46522, + "Ġwished": 46523, + "Ġthawing": 46524, + "ĠBey": 46525, + "ĠDÃŃaz": 46526, + "Ġleather": 46527, + "ĠUnic": 46528, + "Ġspecialised": 46529, + "Ġcatalytically": 46530, + "PLGA": 46531, + "hydroxyethyl": 46532, + "Ġmagmas": 46533, + "Ġpronoun": 46534, + "Ġeutrophication": 46535, + "ĠWeekly": 46536, + "MHD": 46537, + "malloc": 46538, + "ecologic": 46539, + "ilo": 46540, + "ĠFrequencies": 46541, + "Ġorchestra": 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"ĠRescue": 48074, + "Ġentom": 48075, + "Ġmortal": 48076, + "Angle": 48077, + "India": 48078, + "ĠMali": 48079, + "Ġinspecting": 48080, + "ĠGALAXY": 48081, + "ĠEriks": 48082, + "YF": 48083, + "rings": 48084, + "Ġsir": 48085, + "Ġgsl": 48086, + "ĠBubble": 48087, + "ĠDCA": 48088, + "ĠWidespread": 48089, + "assignment": 48090, + "Ġgeomorph": 48091, + "ĠPreference": 48092, + "COPD": 48093, + "processors": 48094, + "cutoff": 48095, + "ĠFlower": 48096, + "phenomen": 48097, + "music": 48098, + "ĠSlovakia": 48099, + "Supporting": 48100, + "blow": 48101, + "edit": 48102, + "ĠTrophy": 48103, + "ĠASF": 48104, + "ĠMoses": 48105, + "Ġindels": 48106, + "Ġnonhuman": 48107, + "Ġhandic": 48108, + "Ġrepairing": 48109, + "Ġmicrometer": 48110, + "ĠPhilippe": 48111, + "Ġexudates": 48112, + "ĠâĹĭ": 48113, + "Ġamalgam": 48114, + "Kin": 48115, + "fors": 48116, + "fron": 48117, + "Ġanabolic": 48118, + "ĠEich": 48119, + "NAN": 48120, + "Ġpseudogap": 48121, + "analyzed": 48122, + "Ġtackled": 48123, + "aginous": 48124, + "Ġlubricant": 48125, + "Ġradionuclides": 48126, + "arrestin": 48127, + "oussinesq": 48128, + "Lif": 48129, + "Î¥": 48130, + "received": 48131, + "astive": 48132, + "ĠPBC": 48133, + "Ġamoxicillin": 48134, + "copper": 48135, + "ubling": 48136, + "ophages": 48137, + "ĠSeas": 48138, + "ĠElite": 48139, + "PMMA": 48140, + "Ġcholang": 48141, + "Depending": 48142, + "Ġasbestos": 48143, + "ĠFecal": 48144, + "ĠRath": 48145, + "ĠLey": 48146, + "Ġfactored": 48147, + "bbles": 48148, + "Ġtokenizer": 48149, + "Ġofficinalis": 48150, + "ĠNUCLE": 48151, + "ĠSemicon": 48152, + "ĠBous": 48153, + "ĠRis": 48154, + "Ġloans": 48155, + "ACP": 48156, + "âĻĢ": 48157, + "phosate": 48158, + "Ġcherry": 48159, + "anan": 48160, + "arre": 48161, + "ĠCredit": 48162, + "isexual": 48163, + "ĠActa": 48164, + "ĠLetting": 48165, + "ĠInfarction": 48166, + "ĠAccounting": 48167, + "Ġcounterstained": 48168, + "Ġaerogel": 48169, + "standardized": 48170, + "Ġlyase": 48171, + "segments": 48172, + "Ġbachelor": 48173, + "Ġhue": 48174, + "ĠNETs": 48175, + "Ġunadjusted": 48176, + "Ġmicrohardness": 48177, + "Ġsinglets": 48178, + "ĠSPACE": 48179, + "ĠHydraulic": 48180, + "METHOD": 48181, + "ĠBjör": 48182, + "ĠKU": 48183, + "Ġrepur": 48184, + "Ġradiocarbon": 48185, + "Ġheterogeneities": 48186, + "Ġgastrocnemius": 48187, + "ĠLTD": 48188, + "Ġaccidentally": 48189, + "Processing": 48190, + "Doppler": 48191, + "TBI": 48192, + "Ġlingual": 48193, + "ĠAGS": 48194, + "ĠFrontal": 48195, + "ĠBrack": 48196, + "thema": 48197, + "Ġrepresentable": 48198, + "Ġpressurized": 48199, + "ADR": 48200, + "ĠMicrofluid": 48201, + "Ġê°": 48202, + "Ġreusable": 48203, + "Ġvendor": 48204, + "aller": 48205, + "Ġdiversion": 48206, + "FAST": 48207, + "ĠKirby": 48208, + "ĠStimulus": 48209, + "Ġattachments": 48210, + "ĠBridging": 48211, + "ĠRoberto": 48212, + "Ġqueuing": 48213, + "tling": 48214, + "roots": 48215, + "ĠMx": 48216, + "ĠMarrow": 48217, + "ĠLocus": 48218, + "Ġunimportant": 48219, + "ergarten": 48220, + "ÃŃk": 48221, + "ĠPotent": 48222, + "ĠBrunswick": 48223, + "ĠSCT": 48224, + "ĠMour": 48225, + "emias": 48226, + "ĠNCS": 48227, + "chicine": 48228, + "ĠOryza": 48229, + "Ġwherever": 48230, + "ĠXGB": 48231, + "COX": 48232, + "Ġhydrogenated": 48233, + "Ġhydraz": 48234, + "ĠPersons": 48235, + "Ġframeshift": 48236, + "Ġelectrolytic": 48237, + "ĠSenegal": 48238, + "Ġphagocyt": 48239, + "Ġinstantaneously": 48240, + "ĠGroundwater": 48241, + "Ġimperial": 48242, + "ĠRhode": 48243, + "ÅĦska": 48244, + "ovisual": 48245, + "ontsize": 48246, + "ĠExplanation": 48247, + "Ġempowerment": 48248, + "NTA": 48249, + "Pu": 48250, + "Por": 48251, + "Sched": 48252, + "eats": 48253, + "Ġys": 48254, + "inous": 48255, + "Ġwilt": 48256, + "ĠMov": 48257, + "ecton": 48258, + "ĠGins": 48259, + "introduction": 48260, + "inception": 48261, + "ĠInterpreting": 48262, + "Ġstartup": 48263, + "Ġalbino": 48264, + "Ġtetras": 48265, + "ĠHousehold": 48266, + "ĠELM": 48267, + "Ġsporulation": 48268, + "Ġosmol": 48269, + "Bis": 48270, + "erule": 48271, + "ĠEAR": 48272, + "Ġimbalances": 48273, + "Ġkt": 48274, + "Ġjl": 48275, + "gesterone": 48276, + "erala": 48277, + "ĠPointer": 48278, + "ĠHRQoL": 48279, + "ĠRiet": 48280, + "ĠEscape": 48281, + "purified": 48282, + "Ġinstantiation": 48283, + "matis": 48284, + "iona": 48285, + "Ġnoxious": 48286, + "ĠNog": 48287, + "Ġjam": 48288, + "ĠAntoni": 48289, + "ĠGodd": 48290, + "ĠPersonalized": 48291, + "Ġpermuted": 48292, + "ĠSHE": 48293, + "ĠOblast": 48294, + "ĠForbes": 48295, + "ĠResveratrol": 48296, + "ĠFeSe": 48297, + "Ġelectrodeposition": 48298, + "Ġhomeobox": 48299, + "Ġpyogenes": 48300, + "Ġviolin": 48301, + "Ġisoelectric": 48302, + "ĠPPG": 48303, + "probably": 48304, + "AMPK": 48305, + "ĠWolfe": 48306, + "Ġultrafine": 48307, + "Beyond": 48308, + "onat": 48309, + "edian": 48310, + "ENABLE": 48311, + "ĠHAM": 48312, + "sout": 48313, + "ĠOpinion": 48314, + "rinted": 48315, + "typing": 48316, + "Unknown": 48317, + "Ġbuckets": 48318, + "Ġintuitionistic": 48319, + "algorithms": 48320, + "SSC": 48321, + "bir": 48322, + "ĠPond": 48323, + "advert": 48324, + "ipin": 48325, + "Ġupwind": 48326, + "ĠClaire": 48327, + "ĠMaturation": 48328, + "ĠPrP": 48329, + "OPO": 48330, + "FORMANCE": 48331, + "ĠdM": 48332, + "ĠCities": 48333, + "Ġinterrelated": 48334, + "ĠApparatus": 48335, + "Ġprecious": 48336, + "criptors": 48337, + "Ġpreparedness": 48338, + "ĠARCH": 48339, + "ĠPathogens": 48340, + "HOST": 48341, + "ĠGibbons": 48342, + "Ġirregularity": 48343, + "ĠLipids": 48344, + "Ġcfu": 48345, + "Ġvasodilation": 48346, + "imetre": 48347, + "improved": 48348, + "mq": 48349, + "ĠHens": 48350, + "ĠLoci": 48351, + "uncredited": 48352, + "Ġmultigrid": 48353, + "tigo": 48354, + "Ġaccountability": 48355, + "enchyme": 48356, + "Ġdisadvantaged": 48357, + "Ġbisphenol": 48358, + "Ġtic": 48359, + "Ġforks": 48360, + "ĠWester": 48361, + "ĠVii": 48362, + "ĠJere": 48363, + "simultaneous": 48364, + "ĠGuarant": 48365, + "ĠDoyle": 48366, + "Ġpotentiates": 48367, + "lassified": 48368, + "Ġileal": 48369, + "Ġvasoconstriction": 48370, + "MODULE": 48371, + "Nano": 48372, + "Wood": 48373, + "ĠTAT": 48374, + "urious": 48375, + "unya": 48376, + "Ġinstillation": 48377, + "ĠSimmons": 48378, + "ĠDirectional": 48379, + "Ġmalate": 48380, + "Ġplantation": 48381, + "Ġunsolved": 48382, + "ĠTauri": 48383, + "Ġovine": 48384, + "Ġkeratinocyte": 48385, + "ĠKullback": 48386, + "ĠKazakhstan": 48387, + "Ġhirs": 48388, + "ĠAerobic": 48389, + "ĠHai": 48390, + "ĠRiley": 48391, + "ensible": 48392, + "Ġinterplanetary": 48393, + "Ġtransits": 48394, + "Ġgenerous": 48395, + "Ġcalpain": 48396, + "Ġappended": 48397, + "ĠHydrodynamics": 48398, + "Ġcolonize": 48399, + "Ġheartbeat": 48400, + "Ġmetastas": 48401, + "Ġpyreth": 48402, + "ĠPAK": 48403, + "ĠС": 48404, + "multiplet": 48405, + "ĠBrady": 48406, + "Ġpropria": 48407, + "ĠFrontier": 48408, + "ĠJoyce": 48409, + "ĠPGF": 48410, + "ĠMcl": 48411, + "recurrent": 48412, + "ĠReplacing": 48413, + "inference": 48414, + "ĠWhitt": 48415, + "Ġschooling": 48416, + "ĠHarold": 48417, + "Ġabstractions": 48418, + "âĬķ": 48419, + "memcpy": 48420, + "Ġmicronucle": 48421, + "Ġradionuclide": 48422, + "otyl": 48423, + "ĠMIF": 48424, + "ĠMUS": 48425, + "Ġexfoli": 48426, + "ĠFamilial": 48427, + "Ġclam": 48428, + "ONO": 48429, + "Ġvanilla": 48430, + "Ġpastoris": 48431, + "ĠATL": 48432, + "ĠBursts": 48433, + "Quantitative": 48434, + "Ġeliciting": 48435, + "Ġgranulomatous": 48436, + "Ġbrowsing": 48437, + "tracks": 48438, + "Ġhij": 48439, + "ĠBCP": 48440, + "incomp": 48441, + "azid": 48442, + "ckpt": 48443, + "Ġlinkers": 48444, + "Ġsquid": 48445, + "Ġheadaches": 48446, + "ĠMoral": 48447, + "Ġstabilisation": 48448, + "&&&&": 48449, + "ĠSufficient": 48450, + "ĠArchaea": 48451, + "Ġìł": 48452, + "ĠLuciferase": 48453, + "Camera": 48454, + "expanded": 48455, + "Ġmysterious": 48456, + "HPS": 48457, + "ĠBJ": 48458, + "ĠKNN": 48459, + "Ġsuperhydrophobic": 48460, + "ĠHydrothermal": 48461, + "ĠRusso": 48462, + "ĠArsenic": 48463, + "Ġnormotensive": 48464, + "ultimate": 48465, + "ĠCMIP": 48466, + "examined": 48467, + "Ġmicroporous": 48468, + "Ġforever": 48469, + "ĠSTING": 48470, + "IGS": 48471, + "ĉĉĉĠĠ": 48472, + "Plant": 48473, + "Ġcoherently": 48474, + "charging": 48475, + "Ġinherit": 48476, + "alternative": 48477, + "ĠBaptist": 48478, + "Fm": 48479, + "bipy": 48480, + "Ġoler": 48481, + "ĠSubstit": 48482, + "Ġultrap": 48483, + "freeze": 48484, + "pergill": 48485, + "POSE": 48486, + "Ġadvertisements": 48487, + "ECHAN": 48488, + "Bayesian": 48489, + "Ġcobordism": 48490, + "¸°": 48491, + "ĠAER": 48492, + "ĠAIP": 48493, + "ĠLNA": 48494, + "essentially": 48495, + "reciprocal": 48496, + "ĠAnand": 48497, + "Ġsmeared": 48498, + "onese": 48499, + "ethylamine": 48500, + "ĠERS": 48501, + "Ġjudicial": 48502, + "Ġwoodland": 48503, + "ĠGregor": 48504, + "Ġtabular": 48505, + "avirin": 48506, + "mirror": 48507, + "Ġjaundice": 48508, + "astigotes": 48509, + "ĠLGBT": 48510, + "ĠNaj": 48511, + "Ġsubscheme": 48512, + "Ġmultiuser": 48513, + "Ġdrains": 48514, + "Ġevacuated": 48515, + "phosphoryl": 48516, + "ĠFeldman": 48517, + "ĠTRIzol": 48518, + "ĠBLEU": 48519, + "aromatic": 48520, + "oviÄĩ": 48521, + "pion": 48522, + "repr": 48523, + "roth": 48524, + "ĠFES": 48525, + "ĠLeeds": 48526, + "Ġung": 48527, + "obranch": 48528, + "Ġpatency": 48529, + "ĠScr": 48530, + "ĠSimplex": 48531, + "pecies": 48532, + "Ġbenefici": 48533, + "Ġpolymerases": 48534, + "ĠCygn": 48535, + "octadec": 48536, + "Ġpunctured": 48537, + "Ġjaponicus": 48538, + "ĠFPGAs": 48539, + "frown": 48540, + "Ġeb": 48541, + "utiny": 48542, + "ĠPoy": 48543, + "ĠBrent": 48544, + "ĠBAM": 48545, + "ĠHick": 48546, + "ĠNPS": 48547, + "ĠGDF": 48548, + "ĠVIRT": 48549, + "Ġinterl": 48550, + "ĠscFv": 48551, + "Ġteamm": 48552, + "Ġparticipatory": 48553, + "Ġexistential": 48554, + "Ġosteomyelitis": 48555, + "Ġpneumothorax": 48556, + "stdout": 48557, + "Ġsingletons": 48558, + "hypothesis": 48559, + "stratified": 48560, + "USD": 48561, + "onasal": 48562, + "eris": 48563, + "imits": 48564, + "ĠICs": 48565, + "ĠEncephal": 48566, + "izi": 48567, + "ĠGradients": 48568, + "Ġallop": 48569, + "Ġcorp": 48570, + "constructed": 48571, + "Ġmonument": 48572, + "simulator": 48573, + "ĠFermions": 48574, + "ĠWyoming": 48575, + "Ġprednisolone": 48576, + "Lang": 48577, + "Notes": 48578, + "eer": 48579, + "Ġfighter": 48580, + "entrant": 48581, + "ĠNij": 48582, + "ĠGPD": 48583, + "ĠProl": 48584, + "Ġrealisation": 48585, + "Ġpackings": 48586, + "ĠDiscovering": 48587, + "ĠAnglo": 48588, + "ĠCassini": 48589, + "execute": 48590, + "Ġinhabited": 48591, + "across": 48592, + "ĠCram": 48593, + "ĠNBR": 48594, + "antes": 48595, + "Ġdispersing": 48596, + "achandran": 48597, + "ĠUND": 48598, + "Ġshoulders": 48599, + "Ġcrises": 48600, + "ustrine": 48601, + "Ġpropane": 48602, + "UNE": 48603, + "brush": 48604, + "Ġetiologies": 48605, + "Ġshotgun": 48606, + "showing": 48607, + "ĠPhytochemical": 48608, + "ĠMehta": 48609, + "orrhea": 48610, + "ĠImagery": 48611, + "Tre": 48612, + "wc": 48613, + "Ġeluent": 48614, + "ondin": 48615, + "ĠAttitude": 48616, + "Ġferromagnet": 48617, + "Ġcountermeasures": 48618, + "Ġalkanes": 48619, + "ĠCapillary": 48620, + "latent": 48621, + "Ġsolubil": 48622, + "Viewer": 48623, + "ázquez": 48624, + "ĠPunjab": 48625, + "aas": 48626, + "tang": 48627, + "Ġimports": 48628, + "ĠYounger": 48629, + "roughly": 48630, + "Weinberg": 48631, + "ĠAtkinson": 48632, + "bfa": 48633, + "MPa": 48634, + "steel": 48635, + "PCP": 48636, + "chlorinated": 48637, + "ĠPsychometric": 48638, + "Ġpyroptosis": 48639, + "Ġwatched": 48640, + "ĠPercutaneous": 48641, + "RBD": 48642, + "VARI": 48643, + "atu": 48644, + "ĠWake": 48645, + "Ġcanyon": 48646, + "iparous": 48647, + "Ġscall": 48648, + "completely": 48649, + "interfer": 48650, + "ophyceae": 48651, + "Ġfatalities": 48652, + "czak": 48653, + "ĠPathophysiology": 48654, + "Lem": 48655, + "lach": 48656, + "tuary": 48657, + "Ġalex": 48658, + "Ġsisters": 48659, + "Ġpum": 48660, + "ĠCatch": 48661, + "ĠEber": 48662, + "inex": 48663, + "phthe": 48664, + "Ġboar": 48665, + "ĠSoul": 48666, + "Ġcatfish": 48667, + "Ġcloudy": 48668, + "ĠBuilt": 48669, + "ophylline": 48670, + "ĠRibosome": 48671, + "ĠAnomalies": 48672, + "YD": 48673, + "categorical": 48674, + "wor": 48675, + "openta": 48676, + "ĠLIB": 48677, + "Ġrick": 48678, + "Ġradiations": 48679, + "Ġhypercube": 48680, + "Ġmaltreatment": 48681, + "ĠîĦĦ": 48682, + "dispersity": 48683, + "continent": 48684, + "Digital": 48685, + "ĠCoryneb": 48686, + "Ġrevert": 48687, + "ĠTEA": 48688, + "ĠMLR": 48689, + "ĠFCM": 48690, + "ĠLamp": 48691, + "izabilities": 48692, + "Ġcarved": 48693, + "ĠMonoclonal": 48694, + "Ġpenis": 48695, + "ĠMorales": 48696, + "Enter": 48697, + "esterification": 48698, + "Ġcabbage": 48699, + "RANTIES": 48700, + "Ġdebridement": 48701, + "Lead": 48702, + "cAMP": 48703, + "Ġcesium": 48704, + "ĠCubic": 48705, + "Ġunimodular": 48706, + "ĠExport": 48707, + "Ġanalyser": 48708, + "denotes": 48709, + "Ġradically": 48710, + "ĠHistology": 48711, + "Ġmelanomas": 48712, + "Ġworship": 48713, + "ĠHimalayan": 48714, + "ĠIntegrable": 48715, + "benzenesulfonamide": 48716, + "Ġharbored": 48717, + "Putting": 48718, + "ĠTir": 48719, + "ĠUTI": 48720, + "centers": 48721, + "ĠPluripot": 48722, + "Ġharbors": 48723, + "Ġcarbam": 48724, + "ĠAppalach": 48725, + "ĠJoan": 48726, + "ĠCommissioner": 48727, + "ĠGemini": 48728, + "Near": 48729, + "OPS": 48730, + "QG": 48731, + "pytorch": 48732, + "staining": 48733, + "ĠhCG": 48734, + "Ġgavage": 48735, + "perhaps": 48736, + "ĠGrib": 48737, + "ĠZah": 48738, + "Ġcomparably": 48739, + "ĠBioscience": 48740, + "SPL": 48741, + "Connell": 48742, + "ĠAirway": 48743, + "primed": 48744, + "Ġsubmucosal": 48745, + "Enhanced": 48746, + "Ġwisdom": 48747, + "VN": 48748, + "ĠMumbai": 48749, + "rius": 48750, + "ĠRGD": 48751, + "ĠRNeasy": 48752, + "mai": 48753, + "ĠADL": 48754, + "Ġadoptive": 48755, + "Outlined": 48756, + "ĠWARRANTIES": 48757, + "ĠViolence": 48758, + "Ġcaterp": 48759, + "Fund": 48760, + "dθ": 48761, + "ĠPok": 48762, + "ĠBenson": 48763, + "ĠRIG": 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+ "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + } + }, + "additional_special_tokens": [ + "" + ], + "bos_token": "", + "clean_up_tokenization_spaces": false, + "eos_token": "", + "extra_special_tokens": {}, + "max_length": 3584, + "model_max_length": 9000, + "pad_to_multiple_of": null, + "pad_token": "", + "pad_token_type_id": 0, + "padding_side": "right", + "processor_class": "NemotronParseProcessor", + "stride": 0, + "tokenizer_class": "PreTrainedTokenizerFast", + "truncation_side": "right", + "truncation_strategy": "longest_first", + "unk_token": "", + "vocab_file": null, + "mask_token": "" +} \ No newline at end of file diff --git a/vllm_example.py b/vllm_example.py new file mode 100644 index 0000000000000000000000000000000000000000..95c550de3e2287da1449588f815b1f88e817c9f1 --- /dev/null +++ b/vllm_example.py @@ -0,0 +1,346 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +import argparse +import base64 +import json +import os +import statistics +import time +from concurrent.futures import ThreadPoolExecutor, as_completed +from dataclasses import dataclass +from pathlib import Path +from typing import Any, Dict, Iterable, List, Optional, Tuple + +from openai import OpenAI + + +def _guess_mime(path: str) -> str: + ext = Path(path).suffix.lower().lstrip(".") + if ext in ("jpg", "jpeg"): + return "image/jpeg" + if ext in ("webp",): + return "image/webp" + # default + return "image/png" + + +def _b64_image_data_url(path: str) -> str: + with open(path, "rb") as f: + img_b64 = base64.b64encode(f.read()).decode("utf-8") + mime = _guess_mime(path) + return f"data:{mime};base64,{img_b64}" + + +def _iter_images(paths: List[str], image_dir: Optional[str]) -> List[str]: + out: List[str] = [] + for p in paths: + out.append(p) + if image_dir: + for ext in ("*.png", "*.jpg", "*.jpeg", "*.webp"): + out.extend([str(x) for x in sorted(Path(image_dir).glob(ext))]) + # De-dupe, keep order + seen = set() + deduped: List[str] = [] + for p in out: + if p in seen: + continue + seen.add(p) + deduped.append(p) + return deduped + + +@dataclass(frozen=True) +class _ReqSpec: + image_path: str + request_idx: int + + +def _make_client(base_url: str, concurrency: int) -> OpenAI: + # openai>=1.x requires an API key; vLLM ignores it by default. + import httpx + + api_key = os.environ.get("OPENAI_API_KEY", "EMPTY") + max_connections = max(100, concurrency * 2) + return OpenAI( + base_url=base_url, + api_key=api_key, + http_client=httpx.Client( + timeout=httpx.Timeout(1800.0), + limits=httpx.Limits( + max_connections=max_connections, + max_keepalive_connections=max_connections, + ), + ), + ) + + +def _run_one( + req: _ReqSpec, + *, + client: OpenAI, + model: str, + prompt_text: str, + max_tokens: int, + temperature: float, + extra_body: Dict[str, Any], + image_data_url: Optional[str] = None, +) -> Tuple[_ReqSpec, str, float, Dict[str, Any], Optional[str]]: + img_url = image_data_url or _b64_image_data_url(req.image_path) + start = time.perf_counter() + resp = client.chat.completions.create( + model=model, + messages=[ + { + "role": "user", + "content": [ + {"type": "text", "text": prompt_text}, + {"type": "image_url", "image_url": {"url": img_url}}, + ], + } + ], + max_tokens=max_tokens, + temperature=temperature, + extra_body=extra_body, + ) + latency_s = time.perf_counter() - start + text = resp.choices[0].message.content or "" + usage = resp.usage.model_dump() if resp.usage is not None else {} + finish_reason = resp.choices[0].finish_reason + return req, text, latency_s, usage, finish_reason + + +def _percentile(values: List[float], percentile: float) -> Optional[float]: + if not values: + return None + ordered = sorted(values) + position = (len(ordered) - 1) * percentile / 100.0 + lower = int(position) + upper = min(lower + 1, len(ordered) - 1) + fraction = position - lower + return ordered[lower] * (1.0 - fraction) + ordered[upper] * fraction + + +def _maybe_annotate(image_path: str, generated_text: str, out_image_path: str) -> None: + # Optional visualization (similar to example_with_table_processor.py). + from PIL import Image, ImageDraw # local import so batching can run without pillow + + from postprocessing import extract_classes_bboxes, postprocess_text, transform_bbox_to_original + + image = Image.open(image_path).convert("RGB") + + classes, bboxes, texts = extract_classes_bboxes(generated_text) + bboxes = [transform_bbox_to_original(bbox, image.width, image.height) for bbox in bboxes] + + table_format = "HTML" # latex | HTML | markdown | json | json_hierarchical | csv + text_format = "markdown" # markdown | plain + blank_text_in_figures = False + + _ = [ + postprocess_text( + text, + cls=cls, + table_format=table_format, + text_format=text_format, + blank_text_in_figures=blank_text_in_figures, + ) + for text, cls in zip(texts, classes) + ] + + draw = ImageDraw.Draw(image) + for bbox in bboxes: + draw.rectangle( + (bbox[0], bbox[1], max(bbox[0], bbox[2]), max(bbox[1], bbox[3])), + outline="red", + width=2, + ) + + image.save(out_image_path) + + +def main() -> None: + ap = argparse.ArgumentParser( + description="vLLM OpenAI-compatible inference and compact throughput benchmark." + ) + ap.add_argument("--base-url", default="http://localhost:8000/v1") + ap.add_argument( + "--model", + default="nemotron-parse", + help="Served model name (must match vllm serve --served-model-name).", + ) + ap.add_argument("--image", action="append", default=[], help="Image path (repeatable).") + ap.add_argument("--image-dir", default=None, help="Directory of images to run (png/jpg/jpeg/webp).") + ap.add_argument("--out-dir", default="vllm_outputs", help="Where to write .txt outputs.") + ap.add_argument("--concurrency", type=int, default=4, help="How many concurrent requests to send.") + ap.add_argument("--max-tokens", type=int, default=8744) + ap.add_argument("--temperature", type=float, default=0.0) + ap.add_argument( + "--prompt", + default="", + ) + ap.add_argument("--warmup-count", type=int, default=0, help="Untimed requests before measurement.") + ap.add_argument( + "--preload-images", + action=argparse.BooleanOptionalAction, + default=False, + help="Base64-encode images before the timed region.", + ) + ap.add_argument( + "--write-text-files", + action=argparse.BooleanOptionalAction, + default=True, + help="Write one text file per page (disable for compact benchmark output).", + ) + ap.add_argument( + "--predictions-jsonl", + default=None, + help="Optional compact scorer-compatible prediction JSONL path.", + ) + ap.add_argument("--metrics-out", default=None, help="Optional benchmark metrics JSON path.") + ap.add_argument( + "--annotate", + action=argparse.BooleanOptionalAction, + default=True, + help="Write annotated images with boxes to --out-dir (default: enabled). Use --no-annotate to disable.", + ) + + args = ap.parse_args() + + image_paths = _iter_images(args.image, args.image_dir) + if not image_paths: + raise SystemExit("No images provided. Use --image PATH (repeatable) or --image-dir DIR.") + + out_dir = Path(args.out_dir) + out_dir.mkdir(parents=True, exist_ok=True) + + prompt_text = args.prompt + + extra_body = { + "repetition_penalty": 1.1, + "top_k": 1, + "skip_special_tokens": False, + } + + reqs: List[_ReqSpec] = [] + for idx, img in enumerate(image_paths): + reqs.append(_ReqSpec(image_path=img, request_idx=idx)) + + prepared_images = ( + {req.image_path: _b64_image_data_url(req.image_path) for req in reqs} + if args.preload_images + else {} + ) + client = _make_client(args.base_url, args.concurrency) + + warmup_reqs = reqs[: min(max(0, args.warmup_count), len(reqs))] + if warmup_reqs: + with ThreadPoolExecutor(max_workers=max(1, min(args.concurrency, len(warmup_reqs)))) as ex: + futures = [ + ex.submit( + _run_one, + req, + client=client, + model=args.model, + prompt_text=prompt_text, + max_tokens=args.max_tokens, + temperature=args.temperature, + extra_body=extra_body, + image_data_url=prepared_images.get(req.image_path), + ) + for req in warmup_reqs + ] + for future in as_completed(futures): + future.result() + + # Concurrency is the simplest way to make sure vLLM batches requests internally. + summary_lines: List[str] = [] + prediction_rows: List[Dict[str, Any]] = [] + latencies: List[float] = [] + completion_tokens = 0 + timed_start = time.perf_counter() + with ThreadPoolExecutor(max_workers=max(1, args.concurrency)) as ex: + futs = [ + ex.submit( + _run_one, + r, + client=client, + model=args.model, + prompt_text=prompt_text, + max_tokens=args.max_tokens, + temperature=args.temperature, + extra_body=extra_body, + image_data_url=prepared_images.get(r.image_path), + ) + for r in reqs + ] + for fut in as_completed(futs): + req, generated_text, latency_s, usage, finish_reason = fut.result() + base = Path(req.image_path).name + stem = f"{req.request_idx:04d}_{base}" + if args.write_text_files: + out_txt = out_dir / f"{stem}.txt" + out_txt.write_text(generated_text, encoding="utf-8") + summary_lines.append(f"{req.image_path}\t{out_txt}") + + latencies.append(latency_s) + completion_tokens += int(usage.get("completion_tokens") or 0) + prediction_rows.append( + { + "image_path": req.image_path, + "image_name": base, + "latency_s": latency_s, + "usage": usage, + "finish_reason": finish_reason, + "coordinate_frame": "content_normalized", + "raw_out": generated_text, + "error": None, + } + ) + + if args.annotate: + out_img = out_dir / f"{stem}.annotated.jpg" + _maybe_annotate(req.image_path, generated_text, str(out_img)) + + request_wall_s = time.perf_counter() - timed_start + + if summary_lines: + (out_dir / "summary.txt").write_text("\n".join(sorted(summary_lines)) + "\n", encoding="utf-8") + + prediction_rows.sort(key=lambda row: str(row["image_name"])) + if args.predictions_jsonl: + predictions_path = Path(args.predictions_jsonl) + predictions_path.parent.mkdir(parents=True, exist_ok=True) + predictions_path.write_text( + "".join(json.dumps(row, ensure_ascii=False) + "\n" for row in prediction_rows), + encoding="utf-8", + ) + + metrics = { + "model": args.model, + "num_images": len(reqs), + "num_success": len(prediction_rows), + "num_failed": len(reqs) - len(prediction_rows), + "concurrency": args.concurrency, + "warmup_count": len(warmup_reqs), + "preload_images": args.preload_images, + "max_tokens": args.max_tokens, + "request_wall_s": request_wall_s, + "pages_per_second": len(prediction_rows) / request_wall_s, + "completion_tokens": completion_tokens, + "completion_tokens_per_second": completion_tokens / request_wall_s, + "latency_s": { + "mean": statistics.fmean(latencies) if latencies else None, + "p50": _percentile(latencies, 50), + "p95": _percentile(latencies, 95), + "max": max(latencies) if latencies else None, + }, + } + if args.metrics_out: + metrics_path = Path(args.metrics_out) + metrics_path.parent.mkdir(parents=True, exist_ok=True) + metrics_path.write_text(json.dumps(metrics, indent=2) + "\n", encoding="utf-8") + print(json.dumps(metrics, indent=2)) + + +if __name__ == "__main__": + main() diff --git a/vllm_tied_patch/__init__.py b/vllm_tied_patch/__init__.py new file mode 100644 index 0000000000000000000000000000000000000000..a1098053722d1701d2738492642fe435d14a7f67 --- /dev/null +++ b/vllm_tied_patch/__init__.py @@ -0,0 +1,8 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""vLLM integration for NVIDIA Nemotron 3.5 Parse.""" + +from .plugin import register + +__all__ = ["register"] diff --git a/vllm_tied_patch/compatibility.py b/vllm_tied_patch/compatibility.py new file mode 100644 index 0000000000000000000000000000000000000000..f16a796b919abe9312345fb120d35a87214ef677 --- /dev/null +++ b/vllm_tied_patch/compatibility.py @@ -0,0 +1,854 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Runtime patch for tied Nemotron Parse lm_head in vLLM. + +Current vLLM Nemotron Parse builds create a standalone ParallelLMHead and only +load it when `lm_head.weight` is materialized. Compact Nemotron Parse exports +tie the output head to `decoder.embed_tokens.weight` instead, so this patch +restores that tie after vLLM loads decoder weights. +""" + +from __future__ import annotations + + +def _patch_nemotron_parse_tied_lm_head() -> None: + try: + import vllm.model_executor.models.nemotron_parse as np + except Exception: + return + + cls = getattr(np, "NemotronParseForConditionalGeneration", None) + if cls is None: + return + + original = getattr(cls, "load_weights", None) + if original is None or getattr(original, "_np_tied_lm_head_patch", False): + return + + def load_weights_with_tied_lm_head(self, weights): + buffered_weights = list(weights) + saw_lm_head = any(name.startswith("lm_head") for name, _ in buffered_weights) + result = original(self, buffered_weights) + + decoder_cfg = getattr(getattr(self, "config", None), "decoder", None) + tie_word_embeddings = bool( + getattr(getattr(self, "config", None), "tie_word_embeddings", False) + or getattr(decoder_cfg, "tie_word_embeddings", False) + ) + if tie_word_embeddings and not saw_lm_head: + self.lm_head.weight = self.decoder.embed_tokens.weight + print( + "[np-vllm-tie-patch] tied lm_head.weight to decoder.embed_tokens.weight", + flush=True, + ) + return result + + load_weights_with_tied_lm_head._np_tied_lm_head_patch = True + cls.load_weights = load_weights_with_tied_lm_head + + +_patch_nemotron_parse_tied_lm_head() + + +"""Make the vLLM Nemotron Parse neck honor persisted C-RADIO dimensions.""" + + +def _register_so400m_radio_config() -> None: + """Register the C-RADIOv4-SO400M timm dimensions for vLLM 0.26. + + vLLM constructs ``RadioConfig`` before it constructs the patched Parse + neck. Registering the model here is therefore required for every + SO400M export, including ordinary global-attention NaViT inference. The + same registration used to live only in the optional ViTDet study patch, + which left production global-attention exports unable to start. + """ + try: + import vllm.transformers_utils.configs.radio as radio_config + except Exception: + return + + model_name = "vit_so400m_patch16_224" + dimensions = (1152, 27, 16, 4304) + existing = radio_config.VIT_TIMM_DIM_BY_NAME.get(model_name) + if existing is not None and tuple(existing) != dimensions: + raise RuntimeError( + f"unexpected vLLM RADIO dimensions for {model_name}: {existing}" + ) + radio_config.VIT_TIMM_DIM_BY_NAME[model_name] = dimensions + print( + "[np-vllm-radio-config] registered " + f"{model_name} hidden=1152 layers=27 heads=16 intermediate=4304", + flush=True, + ) + + +def _patch_np_architecture_neck_init(): + try: + import torch.nn as nn + import vllm.model_executor.models.nemotron_parse as np + except Exception: + return + cls = getattr(np, "RadioWithNeck", None) + if cls is None or getattr(cls, "_np_arch_init_patch", False): + return + original_init = cls.__init__ + + def architecture_init(self, config, *args, **kwargs): + original_init(self, config, *args, **kwargs) + metadata = getattr(config, "architecture_benchmark", {}) or {} + spatial_dim = int(metadata.get("spatial_dim") or self.conv1.in_channels) + summary_dim = int(metadata.get("summary_dim") or config.encoder.summary_dim) + if spatial_dim != self.conv1.in_channels: + self.conv1 = nn.Conv1d( + spatial_dim, + self.conv1.out_channels, + 1, + bias=self.conv1.bias is not None, + ) + if summary_dim != self.sum_proj.weight.shape[1]: + self.sum_proj = nn.Linear( + summary_dim, + self.sum_proj.weight.shape[0], + bias=getattr(self.sum_proj, "bias", None) is not None, + ) + + cls.__init__ = architecture_init + cls._np_arch_init_patch = True + print("[np-vllm-arch] configurable C-RADIO neck enabled", flush=True) + + +_register_so400m_radio_config() +_patch_np_architecture_neck_init() + + +"""Runtime NaViT adapter for the vLLM 0.26 Nemotron Parse model. + +The underlying vLLM RADIO implementation already supports packed dynamic +rectangles through ``imgs_sizes`` and variable-length vision attention. The +Nemotron Parse adapter does not expose that path, so this module connects its +processor metadata, multimodal field layout, RADIO neck, and prompt lengths. +This compatibility module is loaded explicitly by the installed vLLM plugin. +""" + + +import os + + +# Replaced with the export's persisted geometry contract during packaging. Keeping it explicit makes old content-normalized exports possible. +_NP_NAVIT_COORDINATE_FRAME = "content_normalized" +_NP_NAVIT_POSITION_EMBEDDING_MODE = "content_normalized_2d_interpolate" +_NP_NECK_COMPRESSION = int(os.environ.get("NP_VLLM_NECK_COMPRESSION", "4")) +_NP_BACKBONE = os.environ.get("NP_VLLM_BACKBONE", "nvidia/C-RADIOv4-SO400M") +_NP_ATTENTION_MODE = os.environ.get("NP_VLLM_VISION_ATTENTION", "global") +_NP_VITDET_WINDOW = int(os.environ.get("NP_VLLM_VITDET_WINDOW", "0")) +_NP_VITDET_GLOBAL_LAYERS = int(os.environ.get("NP_VLLM_VITDET_GLOBAL_LAYERS", "4")) +_NP_MASKED_PARTIAL_POOL = os.environ.get("NP_VLLM_MASKED_PARTIAL_POOL", "0") == "1" + + +def _normalized_2d_position_pages( + torch_module, + *, + patches, + pos_embed, + source_rows: int, + source_cols: int, + image_sizes, + patch_size: int, + content_sizes=None, + content_normalized: bool = False, +): + """Mirror training's per-page normalized-2D position interpolation. + + Keep this helper independent of vLLM imports so the export contract can be + exercised on the login node. vLLM supplies one concatenated raw-patch + sequence, whereas training embeds each page separately; splitting before + interpolation makes the two representations numerically identical. + """ + + source_rows = int(source_rows) + source_cols = int(source_cols) + patch_size = int(patch_size) + if source_rows <= 0 or source_cols <= 0 or patch_size <= 0: + raise ValueError( + "normalized 2D positions require positive source grid and patch size" + ) + if source_rows * source_cols != int(pos_embed.shape[1]): + raise ValueError( + "RADIO learned positional field shape is inconsistent: " + f"source={source_rows}x{source_cols} tokens={int(pos_embed.shape[1])}" + ) + + positional_grid = pos_embed.reshape( + 1, source_rows, source_cols, -1 + ).permute(0, 3, 1, 2) + normalized_content_sizes = None + if content_sizes is not None: + normalized_content_sizes = [ + tuple(int(value) for value in size) for size in content_sizes + ] + if len(normalized_content_sizes) != len(image_sizes): + raise ValueError( + "Content-size count must match image-size count: " + f"content_sizes={len(normalized_content_sizes)} " + f"image_sizes={len(image_sizes)}" + ) + if content_normalized and normalized_content_sizes is None: + raise ValueError("content-normalized 2D positions require content_sizes") + + positioned_pages = [] + cursor = 0 + for image_index, (raw_height, raw_width) in enumerate(image_sizes): + height, width = int(raw_height), int(raw_width) + if height % patch_size or width % patch_size: + raise ValueError( + f"Page shape {(height, width)} is not aligned to patch size {patch_size}" + ) + rows, cols = height // patch_size, width // patch_size + patch_count = rows * cols + page = patches[:, cursor : cursor + patch_count] + if int(page.shape[1]) != patch_count: + raise ValueError( + "Normalized position split ended inside a page: " + f"page={(height, width)} expected={patch_count} actual={int(page.shape[1])}" + ) + cursor += patch_count + if content_normalized: + content_height, content_width = normalized_content_sizes[image_index] + if content_height <= 0 or content_width <= 0: + raise ValueError( + "content size must be positive, got " + f"{(content_height, content_width)}" + ) + if content_height > height or content_width > width: + raise ValueError( + "content size cannot exceed padded image: " + f"content={(content_height, content_width)} image={(height, width)}" + ) + content_rows = (content_height + patch_size - 1) // patch_size + content_cols = (content_width + patch_size - 1) // patch_size + if min(content_rows, content_cols) == 1: + # Match training's safe area-preserving path for augmentation + # crops whose visible content spans only one patch in an axis. + page_positions = torch_module.nn.functional.adaptive_avg_pool2d( + positional_grid.float(), (content_rows, content_cols) + ) + else: + page_positions = torch_module.nn.functional.interpolate( + positional_grid.float(), + size=(content_rows, content_cols), + mode="bilinear", + align_corners=False, + antialias=True, + ) + row_starts = ( + torch_module.arange(rows, device=page.device, dtype=torch_module.float32) + * patch_size + ) + col_starts = ( + torch_module.arange(cols, device=page.device, dtype=torch_module.float32) + * patch_size + ) + row_extents = (content_height - row_starts).clamp( + min=0.0, max=float(patch_size) + ) + col_extents = (content_width - col_starts).clamp( + min=0.0, max=float(patch_size) + ) + normalized_y = ( + row_starts + 0.5 * row_extents + ).clamp(max=float(content_height)) / float(content_height) + normalized_x = ( + col_starts + 0.5 * col_extents + ).clamp(max=float(content_width)) / float(content_width) + grid_y, grid_x = torch_module.meshgrid( + normalized_y, normalized_x, indexing="ij" + ) + sampling_grid = torch_module.stack( + (2.0 * grid_x - 1.0, 2.0 * grid_y - 1.0), dim=-1 + ) + page_positions = torch_module.nn.functional.grid_sample( + page_positions, + sampling_grid.unsqueeze(0), + mode="bilinear", + padding_mode="border", + align_corners=False, + ).to(dtype=page.dtype) + else: + page_positions = torch_module.nn.functional.interpolate( + positional_grid.float(), + size=(rows, cols), + mode="bilinear", + align_corners=False, + antialias=True, + ).to(dtype=page.dtype) + page_positions = page_positions.flatten(2).permute(0, 2, 1) + positioned_pages.append(page + page_positions) + if cursor != int(patches.shape[1]): + raise ValueError( + f"Normalized position split consumed {cursor} of {int(patches.shape[1])} patches" + ) + return torch_module.cat(positioned_pages, dim=1) + + +def _patch_nemotron_parse_navit() -> None: + try: + import inspect + from functools import partial + from typing import Annotated, Literal + + import torch + import vllm.model_executor.models.nemotron_parse as np + from vllm.model_executor.models.radio import RadioModel + from vllm.multimodal.inputs import MultiModalFieldConfig + from vllm.multimodal.processing import PromptReplacement + from vllm.utils.tensor_schema import TensorSchema, TensorShape + except Exception: + return + + # The compatibility module enables postponed annotations. + # TensorSchema resolves annotations later with the module globals, so expose + # the optional vLLM typing symbols there rather than leaving them local. + globals().update( + Annotated=Annotated, + Literal=Literal, + torch=torch, + TensorShape=TensorShape, + ) + + model_cls = getattr(np, "NemotronParseForConditionalGeneration", None) + neck_cls = getattr(np, "RadioWithNeck", None) + processor_cls = getattr(np, "NemotronParseMultiModalProcessor", None) + if model_cls is None or neck_cls is None or processor_cls is None: + return + if getattr(model_cls, "_np_navit_patch", False): + return + if "imgs_sizes" not in inspect.signature(RadioModel.forward).parameters: + raise RuntimeError( + "Nemotron Parse NaViT export requires a vLLM RADIO build with imgs_sizes support" + ) + if not hasattr(MultiModalFieldConfig, "flat_from_sizes"): + raise RuntimeError( + "Nemotron Parse NaViT export requires MultiModalFieldConfig.flat_from_sizes" + ) + + class NemotronParseNavitPixelInputs(TensorSchema): + type: Literal["pixel_values"] + data: Annotated[torch.Tensor, TensorShape("np", "cps")] + image_sizes: Annotated[torch.Tensor, TensorShape("ni", 2)] + content_sizes: Annotated[torch.Tensor, TensorShape("ni", 2)] + + def get_mm_fields_config(self, hf_inputs, hf_processor_mm_kwargs): + del self, hf_processor_mm_kwargs + image_sizes = hf_inputs.get("image_sizes", torch.empty((0, 2))) + patch_size = 16 + patch_counts = (image_sizes[:, 0] // patch_size) * ( + image_sizes[:, 1] // patch_size + ) + return { + "pixel_values": MultiModalFieldConfig.flat_from_sizes( + "image", patch_counts + ), + "image_sizes": MultiModalFieldConfig.batched( + "image", keep_on_cpu=True + ), + "content_sizes": MultiModalFieldConfig.batched( + "image", keep_on_cpu=True + ), + } + + def get_prompt_updates(self, mm_items, hf_processor_mm_kwargs, out_mm_kwargs): + del self, mm_items, hf_processor_mm_kwargs + + def get_replacement(item_idx: int): + size = out_mm_kwargs["image"][item_idx]["image_sizes"].data + height, width = (int(value) for value in size.reshape(-1).tolist()) + patch_cols = width // 16 + pooled_cols = ( + (patch_cols + _NP_NECK_COMPRESSION - 1) // _NP_NECK_COMPRESSION + if _NP_MASKED_PARTIAL_POOL + else patch_cols // _NP_NECK_COMPRESSION + ) + return [0] * ((height // 16) * pooled_cols + 1) + + return [ + PromptReplacement( + modality="image", + target=[0], + replacement=get_replacement, + ) + ] + + def parse_image_input(self, **kwargs): + pixel_values = kwargs.pop("pixel_values", None) + image_sizes = kwargs.pop("image_sizes", None) + content_sizes = kwargs.pop("content_sizes", None) + image_embeds = kwargs.pop("image_embeds", None) + if pixel_values is None and image_embeds is None: + return None + if pixel_values is not None and image_embeds is not None: + raise ValueError("Both pixel values and image embeds are provided") + if image_embeds is not None: + raise NotImplementedError("NaViT image_embeds input is not implemented") + if image_sizes is None: + raise ValueError("NaViT pixel_values require image_sizes") + if ( + _NP_NAVIT_POSITION_EMBEDDING_MODE + == "content_normalized_2d_interpolate" + and content_sizes is None + ): + raise ValueError( + "content_normalized_2d_interpolate requires content_sizes" + ) + return NemotronParseNavitPixelInputs( + type="pixel_values", + data=pixel_values, + image_sizes=image_sizes, + content_sizes=content_sizes, + ) + + def packed_neck_forward( + self, pixel_values, *, image_sizes=None, content_sizes=None, **kwargs + ): + del kwargs + if image_sizes is None: + raise ValueError("Packed Nemotron Parse RADIO requires image_sizes") + if pixel_values.ndim == 2: + pixel_values = pixel_values.unsqueeze(0) + if pixel_values.ndim != 3 or pixel_values.shape[0] != 1: + raise ValueError( + f"Expected packed raw patches [1,np,cps], got {tuple(pixel_values.shape)}" + ) + sizes = [tuple(int(value) for value in row) for row in image_sizes] + normalized_content_sizes = ( + [tuple(int(value) for value in row) for row in content_sizes] + if content_sizes is not None + else None + ) + patch_counts = [(height // 16) * (width // 16) for height, width in sizes] + # RadioModel._extract_final currently applies summary_idxs once to the + # full packed sequence, which drops summaries for later images. Run the + # packed transformer itself, then split each page's prefix and patches. + radio = self.model_encoder.model + patch_generator = radio.patch_generator + virtual_offsets = [] + normalized_modes = { + "normalized_2d_interpolate", + "content_normalized_2d_interpolate", + } + if _NP_NAVIT_POSITION_EMBEDDING_MODE in normalized_modes: + if _NP_NAVIT_COORDINATE_FRAME == "legacy_virtual_canvas": + raise ValueError( + "normalized_2d_interpolate cannot use legacy_virtual_canvas" + ) + patches = patch_generator.embedder(pixel_values) + patches = _normalized_2d_position_pages( + torch, + patches=patches, + pos_embed=patch_generator.pos_embed, + source_rows=patch_generator.num_rows, + source_cols=patch_generator.num_cols, + image_sizes=sizes, + patch_size=patch_generator.patch_size, + content_sizes=normalized_content_sizes, + content_normalized=( + _NP_NAVIT_POSITION_EMBEDDING_MODE + == "content_normalized_2d_interpolate" + ), + ) + patches = patch_generator.cls_token_dynamic(patches, imgs_sizes=sizes) + hidden_states = patch_generator.patch_normalizer(patches) + mask_meta = ( + radio.inter_image_mask_metadata(sizes, device=hidden_states.device) + if len(sizes) > 1 + else None + ) + hidden = radio.encoder(inputs_embeds=hidden_states, mask_meta=mask_meta) + virtual_offsets = [(0, 0)] * len(sizes) + elif _NP_NAVIT_POSITION_EMBEDDING_MODE != "radio_cpe": + raise ValueError( + "Unsupported NaViT position embedding mode: " + f"{_NP_NAVIT_POSITION_EMBEDDING_MODE}" + ) + elif _NP_NAVIT_COORDINATE_FRAME == "legacy_virtual_canvas": + # The processor already emitted flattened, normalized 16x16 raw + # patches. Embed only those patches, but gather CPE positions from + # the 2048x1664 legacy lattice before inserting per-page prefixes. + patches = patch_generator.embedder(pixel_values) + canvas_height, canvas_width = 2048, 1664 + canvas_cols = canvas_width // 16 + all_patch_idxs = [] + for height, width in sizes: + left = ((canvas_width - width) // 2 // 64) * 64 + top = ((canvas_height - height) // 2 // 16) * 16 + if left < 0 or top < 0: + raise ValueError( + f"Native page {(height, width)} exceeds legacy virtual canvas" + ) + rows, cols = height // 16, width // 16 + row0, col0 = top // 16, left // 16 + page_idxs = torch.tensor( + [ + (row0 + row) * canvas_cols + col0 + col + for row in range(rows) + for col in range(cols) + ], + dtype=torch.long, + device=patches.device, + ) + all_patch_idxs.append(page_idxs) + virtual_offsets.append((top, left)) + patch_idxs = torch.cat(all_patch_idxs).unsqueeze(0) + pos_result = patch_generator.apply_pos_enc( + patches, + patch_idxs=patch_idxs, + input_size=(canvas_height, canvas_width), + ) + patches = pos_result[0] if isinstance(pos_result, tuple) else pos_result + patches = patch_generator.cls_token_dynamic(patches, imgs_sizes=sizes) + hidden_states = patch_generator.patch_normalizer(patches) + mask_meta = ( + radio.inter_image_mask_metadata(sizes, device=hidden_states.device) + if len(sizes) > 1 + else None + ) + hidden = radio.encoder(inputs_embeds=hidden_states, mask_meta=mask_meta) + else: + hidden = radio(pixel_values, imgs_sizes=sizes) + virtual_offsets = [(0, 0)] * len(sizes) + num_skip = int(patch_generator.num_skip) + num_cls_tokens = int(patch_generator.num_cls_tokens) + summary_idxs = self.model_encoder.summary_idxs + summaries = [] + features = [] + cursor = 0 + for patch_count in patch_counts: + page_summary = hidden[:, cursor : cursor + num_cls_tokens] + if summary_idxs is not None: + page_summary = page_summary[:, summary_idxs] + summaries.append(page_summary.flatten(1)) + features.append( + hidden[:, cursor + num_skip : cursor + num_skip + patch_count] + ) + cursor += num_skip + patch_count + if cursor != hidden.shape[1]: + raise ValueError( + f"Packed RADIO split consumed {cursor} of {hidden.shape[1]} tokens" + ) + outputs = [] + for (height, width), page_summary, page_feature in zip( + sizes, summaries, features + ): + output = self.conv1(page_feature.permute(0, 2, 1)).permute(0, 2, 1) + output = self.layer_norm1(output) + output = np.rearrange( + output, + "b (h w) d -> b d h w", + h=height // 16, + w=width // 16, + ) + if _NP_NECK_COMPRESSION == 4 and not _NP_MASKED_PARTIAL_POOL: + output = self.conv2(output) + else: + import torch.nn.functional as F + + kernel = self.conv2.weight + source_width = int(kernel.shape[-1]) + if _NP_NECK_COMPRESSION % source_width: + raise ValueError( + f"neck compression {_NP_NECK_COMPRESSION} must be a multiple " + f"of trained kernel width {source_width}" + ) + repeats = _NP_NECK_COMPRESSION // source_width + if repeats > 1: + kernel = kernel.repeat(1, 1, 1, repeats) / repeats + patch_cols = int(output.shape[-1]) + pad_cols = (-patch_cols) % _NP_NECK_COMPRESSION + if pad_cols: + if not _NP_MASKED_PARTIAL_POOL: + raise ValueError( + f"grid width {patch_cols} is not divisible by neck " + f"compression {_NP_NECK_COMPRESSION}" + ) + output = F.pad(output, (0, pad_cols, 0, 0)) + output = F.conv2d( + output, + kernel, + bias=self.conv2.bias, + stride=(1, _NP_NECK_COMPRESSION), + ) + output = np.rearrange(output, "b d h w -> b (h w) d") + output = self.layer_norm2(output) + projected_summary = self.sum_proj(page_summary) + if isinstance(projected_summary, tuple): + projected_summary = projected_summary[0] + page_summary = self.layer_norm3(projected_summary) + outputs.append(torch.cat((output, page_summary.unsqueeze(1)), dim=1).squeeze(0)) + log_count = int(getattr(self, "_np_navit_log_count", 0)) + # vLLM consumes early calls while profiling its encoder cache. Keep + # enough bounded audit lines to also capture real mixed-size requests. + if log_count < 8: + post_neck_lengths = [int(output.shape[0]) for output in outputs] + print( + "[np-vllm-navit-pack] " + f"backbone={_NP_BACKBONE} attention={_NP_ATTENTION_MODE} " + f"vitdet_window={_NP_VITDET_WINDOW or None} " + f"vitdet_global_layers={_NP_VITDET_GLOBAL_LAYERS} " + f"neck_compression={_NP_NECK_COMPRESSION} pages={len(sizes)} " + f"packed_boundaries={list(zip([0] + list(torch.tensor(patch_counts).cumsum(0)[:-1].tolist()), torch.tensor(patch_counts).cumsum(0).tolist()))} " + f"image_sizes={sizes} " + f"content_sizes={normalized_content_sizes} " + f"coordinate_frame={_NP_NAVIT_COORDINATE_FRAME} " + f"position_embedding_mode={_NP_NAVIT_POSITION_EMBEDDING_MODE} " + f"virtual_offsets={virtual_offsets} " + f"raw_patches={patch_counts} post_neck_lengths={post_neck_lengths}", + flush=True, + ) + self._np_navit_log_count = log_count + 1 + return tuple(outputs) + + def process_image_input(self, image_input): + pixel_values = image_input["data"] + image_sizes = image_input["image_sizes"] + content_sizes = image_input["content_sizes"] + dtype = next(self.encoder.parameters()).dtype + return self.encoder( + pixel_values.to(dtype), + image_sizes=image_sizes.reshape(-1, 2).tolist(), + content_sizes=( + content_sizes.reshape(-1, 2).tolist() + if content_sizes is not None + else None + ), + ) + + processor_cls._get_mm_fields_config = get_mm_fields_config + processor_cls._get_prompt_updates = get_prompt_updates + neck_cls.forward = packed_neck_forward + model_cls._parse_and_validate_image_input = parse_image_input + model_cls._process_image_input = process_image_input + model_cls._np_navit_patch = True + print( + "[np-vllm-navit-patch] enabled dynamic rectangles, packed RADIO attention, " + f"coordinate_frame={_NP_NAVIT_COORDINATE_FRAME}, backbone={_NP_BACKBONE}, " + f"attention={_NP_ATTENTION_MODE}, vitdet_window={_NP_VITDET_WINDOW or None}, " + f"neck_compression={_NP_NECK_COMPRESSION}, " + f"masked_partial_pool={_NP_MASKED_PARTIAL_POOL}", + flush=True, + ) + + +_patch_nemotron_parse_navit() + + +"""Runtime GQA/MQA adapter for vLLM 0.26 Nemotron Parse mBART.""" + +import os + + +def _patch_mbart_gqa() -> None: + try: + from torch import nn + from vllm.distributed import get_tensor_model_parallel_world_size + from vllm.model_executor.layers.attention import Attention + from vllm.model_executor.layers.linear import ( + MergedColumnParallelLinear, + QKVParallelLinear, + ColumnParallelLinear, + RowParallelLinear, + ) + import vllm.model_executor.models.nemotron_parse as np + from vllm.model_executor.models.whisper import ( + CrossAttention, + WhisperAttention, + WhisperCrossAttention, + ) + from vllm.v1.attention.backend import AttentionType + except Exception: + return + + self_kv_heads = int(os.environ.get("NP_VLLM_SELF_KV_HEADS", "8")) + cross_kv_heads = int(os.environ.get("NP_VLLM_CROSS_KV_HEADS", "16")) + + def local_kv_heads(total: int) -> int: + tp_size = get_tensor_model_parallel_world_size() + if total >= tp_size: + if total % tp_size: + raise ValueError(f"KV heads {total} must be divisible by TP {tp_size}") + return total // tp_size + if tp_size % total: + raise ValueError(f"TP {tp_size} must be divisible by KV heads {total}") + return 1 + + class NemotronParseGQASelfAttention(WhisperAttention): + def __init__( + self, embed_dim, num_heads, bias=True, + attn_type=AttentionType.DECODER, per_layer_sliding_window=None, + cache_config=None, quant_config=None, prefix="", + ): + # Do not call WhisperAttention.__init__: it registers a full-MHA + # Attention object under this prefix before we can supply the GQA + # cache shape, and vLLM correctly rejects the duplicate layer. + nn.Module.__init__(self) + self.embed_dim = embed_dim + self.total_num_heads = num_heads + tp_size = get_tensor_model_parallel_world_size() + if num_heads % tp_size or num_heads % self_kv_heads: + raise ValueError("self KV heads must divide query heads") + self.num_heads = num_heads // tp_size + self.num_kv_heads = local_kv_heads(self_kv_heads) + self.head_dim = embed_dim // num_heads + self.q_size = self.num_heads * self.head_dim + self.kv_size = self.num_kv_heads * self.head_dim + self.attn_type = attn_type + self.scaling = self.head_dim**-0.5 + self.qkv_proj = QKVParallelLinear( + hidden_size=self.embed_dim, + head_size=self.head_dim, + total_num_heads=self.total_num_heads, + total_num_kv_heads=self_kv_heads, + bias=bias, + quant_config=quant_config, + prefix=f"{prefix}.qkv_proj", + ) + self.out_proj = RowParallelLinear( + input_size=embed_dim, output_size=embed_dim, bias=bias, + quant_config=quant_config, prefix=f"{prefix}.out_proj", + ) + self.attn = Attention( + self.num_heads, + self.head_dim, + self.scaling, + num_kv_heads=self.num_kv_heads, + cache_config=cache_config, + quant_config=quant_config, + prefix=f"{prefix}.attn", + attn_type=self.attn_type, + per_layer_sliding_window=per_layer_sliding_window, + ) + + class NemotronParseGQACrossAttention(WhisperCrossAttention): + def __init__( + self, embed_dim, num_heads, bias=True, cache_config=None, + quant_config=None, prefix="", + ): + nn.Module.__init__(self) + self.embed_dim = embed_dim + self.total_num_heads = num_heads + tp_size = get_tensor_model_parallel_world_size() + if num_heads % tp_size or num_heads % cross_kv_heads: + raise ValueError("cross KV heads must divide query heads") + self.num_heads = num_heads // tp_size + self.num_kv_heads = local_kv_heads(cross_kv_heads) + self.head_dim = embed_dim // num_heads + self.q_size = self.num_heads * self.head_dim + self.kv_size = self.num_kv_heads * self.head_dim + self.attn_type = AttentionType.ENCODER_DECODER + self.scaling = self.head_dim**-0.5 + output_size = cross_kv_heads * self.head_dim + self.q_proj = ColumnParallelLinear( + input_size=embed_dim, output_size=embed_dim, bias=bias, + quant_config=quant_config, prefix=f"{prefix}.q_proj", + ) + self.kv_proj = MergedColumnParallelLinear( + input_size=self.embed_dim, + output_sizes=[output_size, output_size], + bias=bias, + quant_config=quant_config, + prefix=f"{prefix}.kv_proj", + ) + self.out_proj = RowParallelLinear( + input_size=embed_dim, output_size=embed_dim, bias=bias, + quant_config=quant_config, prefix=f"{prefix}.out_proj", + ) + self.attn = CrossAttention( + self.num_heads, + self.head_dim, + self.scaling, + num_kv_heads=self.num_kv_heads, + cache_config=cache_config, + quant_config=quant_config, + prefix=f"{prefix}.attn", + attn_type=self.attn_type, + ) + + np.WhisperAttention = NemotronParseGQASelfAttention + np.WhisperCrossAttention = NemotronParseGQACrossAttention + print( + "[np-vllm-gqa] " + f"self_q_heads=16 self_kv_heads={self_kv_heads} " + f"cross_q_heads=16 cross_kv_heads={cross_kv_heads}", + flush=True, + ) + print("[np-vllm-arch] mBART grouped-query attention enabled", flush=True) + + +_patch_mbart_gqa() + + +"""Register the local same-weight mBART visual-prefix architecture.""" + + +def _register_radio_mbart_prefix(): + try: + from vllm.model_executor.models import ModelRegistry + from vllm.model_executor.models.interfaces import supports_multimodal + try: + from .vllm_radio_mbart_prefix import RadioMBartPrefixForCausalLM + except ImportError: + # Legacy PYTHONPATH mode, retained for existing launch contracts. + from vllm_radio_mbart_prefix import RadioMBartPrefixForCausalLM + except Exception: + return + ModelRegistry.register_model("RadioMBartPrefixForCausalLM", RadioMBartPrefixForCausalLM) + if not supports_multimodal(RadioMBartPrefixForCausalLM): + raise RuntimeError("RadioMBartPrefixForCausalLM did not register as multimodal") + print("[np-vllm-mbart-prefix] same decoder weights; cross-attention bypassed", flush=True) + print("[np-vllm-arch] mBART causal visual-prefix fusion enabled", flush=True) + + +_register_radio_mbart_prefix() + + +"""Model-scoped default for the validated FA3 scheduler path.""" + + +def _patch_vllm_fa3_aot_scheduler() -> None: + """Bypass FA3 AOT scheduler metadata by default for Nemotron Parse. + + vLLM 0.26 can size the full-CUDA-graph scheduler metadata incorrectly for + a mixed batch containing long prefills and cached one-token decodes. Keep + FlashAttention 3 and CUDA graphs enabled while bypassing that optional + schedule, without enabling vLLM's broader batch-invariant execution mode. + """ + try: + from vllm.v1.attention.backends.flash_attn import ( + FlashAttentionMetadataBuilder, + ) + except Exception: + return + + original_init = FlashAttentionMetadataBuilder.__init__ + if getattr(original_init, "_np_fa3_no_aot_patch", False): + return + + def init_without_aot_schedule(self, *args, **kwargs): + original_init(self, *args, **kwargs) + from .defaults import disable_fa3_aot + + if not disable_fa3_aot(self.model_config): + return + self.aot_schedule = False + self.scheduler_metadata = None + self.max_num_splits = 0 + print("[nemotron-parse] FA3 AOT scheduler disabled for Parse", flush=True) + + init_without_aot_schedule._np_fa3_no_aot_patch = True + FlashAttentionMetadataBuilder.__init__ = init_without_aot_schedule + print( + "[np-vllm-fa3] registered Parse FA3 scheduler defaults; FA3 remains enabled", + flush=True, + ) + + +_patch_vllm_fa3_aot_scheduler() diff --git a/vllm_tied_patch/defaults.py b/vllm_tied_patch/defaults.py new file mode 100644 index 0000000000000000000000000000000000000000..a944cd5967ce20c6693813b43d36b7b191955def --- /dev/null +++ b/vllm_tied_patch/defaults.py @@ -0,0 +1,52 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Model-scoped serving defaults for Nemotron 3.5 Parse.""" + +from __future__ import annotations + +import os + + +def is_parse_config(config) -> bool: + return bool( + {"RadioMBartPrefixForCausalLM", "ParseAuxMTPModel"} + & set(getattr(config, "architectures", []) or []) + ) + + +def disable_fa3_aot(model_config) -> bool: + """Use the validated FA3 schedule for this model and its MTP proposer.""" + return is_parse_config(getattr(model_config, "hf_config", None)) and ( + os.environ.get("NP_VLLM_FA3_DISABLE_AOT_SCHEDULER", "1") == "1" + ) + + +def default_mtp(engine_args, model_config) -> bool: + """Supply one-token MTP only when no speculative options were specified.""" + config = getattr(model_config, "hf_config", None) + return ( + is_parse_config(config) + and int(getattr(config, "num_extra_heads", 0) or 0) > 0 + and os.environ.get("NP_VLLM_MTP", "1") == "1" + and engine_args.speculative_config is None + and all(getattr(engine_args, name, None) is None + for name in ("spec_method", "spec_model", "spec_tokens")) + ) + + +def register_serving_defaults() -> None: + from vllm.engine.arg_utils import EngineArgs + + original = EngineArgs.create_speculative_config + if getattr(original, "_np_parse_default_mtp", False): + return + + def create_speculative_config(self, target_model_config, target_parallel_config): + if default_mtp(self, target_model_config): + self.speculative_config = {"method": "mtp", "num_speculative_tokens": 1} + print("[nemotron-parse] one-token MTP enabled by default", flush=True) + return original(self, target_model_config, target_parallel_config) + + create_speculative_config._np_parse_default_mtp = True + EngineArgs.create_speculative_config = create_speculative_config diff --git a/vllm_tied_patch/mtp_weights.py b/vllm_tied_patch/mtp_weights.py new file mode 100644 index 0000000000000000000000000000000000000000..3194070c7e3906ce37f436a895de17469b487f75 --- /dev/null +++ b/vllm_tied_patch/mtp_weights.py @@ -0,0 +1,81 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""Strict loading of the trained one-step MTP tensors. + +New releases store these tensors in the ordinary model safetensors. The +sidecar fallback supports older checkpoints; partial integrated heads fail +instead of combining tensors from different checkpoint representations. +""" + +from pathlib import Path + +from safetensors import safe_open + + +AUXILIARY_TENSOR_NAMES = frozenset( + { + "decoder.extra_heads.0.weight", + "decoder.extra_heads.0.bias", + "decoder.extra_proj.0.weight", + "decoder.extra_proj.0.bias", + } +) + + +def load_auxiliary_weights( + weights, *, embedding, parameters, weight_loader, model_path, revision=None +): + if set(parameters) != AUXILIARY_TENSOR_NAMES: + raise ValueError("MTP parameter mapping must contain the exact four auxiliary tensors") + loaded = set() + auxiliary_found = set() + + def load_auxiliary(name, tensor): + if name in auxiliary_found: + raise RuntimeError(f"Duplicate integrated MTP tensor: {name}") + parameter = parameters[name] + if tuple(tensor.shape) != tuple(parameter.shape): + raise ValueError( + f"MTP tensor shape mismatch for {name}: " + f"checkpoint={tuple(tensor.shape)} model={tuple(parameter.shape)}" + ) + weight_loader(parameter, tensor) + auxiliary_found.add(name) + suffix = name.rsplit(".", 1)[-1] + module = "extra_head" if ".extra_heads." in name else "extra_proj" + loaded.add(f"model.{module}.{suffix}") + + for name, tensor in weights: + if name == "decoder.embed_tokens.weight": + weight_loader(embedding, tensor) + loaded.add("model.embed_tokens.weight") + elif name in parameters: + load_auxiliary(name, tensor) + elif name.startswith(("decoder.extra_heads.", "decoder.extra_proj.")): + raise RuntimeError(f"Unsupported MTP tensor: {name}; this proposer supports one head") + + if auxiliary_found and auxiliary_found != AUXILIARY_TENSOR_NAMES: + raise RuntimeError( + f"Incomplete integrated MTP head; missing {sorted(AUXILIARY_TENSOR_NAMES - auxiliary_found)}" + ) + if not auxiliary_found: + sidecar_name = "auxiliary_prediction_heads.safetensors.extra" + sidecar = Path(model_path) / sidecar_name + if not sidecar.is_file() and not Path(model_path).exists(): + from huggingface_hub import hf_hub_download + + sidecar = Path(hf_hub_download(str(model_path), filename=sidecar_name, revision=revision)) + if not sidecar.is_file(): + raise FileNotFoundError( + "Checkpoint has no integrated MTP tensors and no legacy auxiliary sidecar: " + f"{sidecar}" + ) + with safe_open(str(sidecar), framework="pt", device="cpu") as source: + if set(source.keys()) != AUXILIARY_TENSOR_NAMES: + raise RuntimeError(f"Unexpected legacy MTP sidecar tensors: {sorted(source.keys())}") + for name in sorted(AUXILIARY_TENSOR_NAMES): + load_auxiliary(name, source.get_tensor(name)) + if "model.embed_tokens.weight" not in loaded: + raise RuntimeError("MTP checkpoint is missing decoder.embed_tokens.weight") + return loaded diff --git a/vllm_tied_patch/plugin.py b/vllm_tied_patch/plugin.py new file mode 100644 index 0000000000000000000000000000000000000000..ba2a0e30316ae55a620a5b9e2ff326f7570596db --- /dev/null +++ b/vllm_tied_patch/plugin.py @@ -0,0 +1,89 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""vLLM general-plugin entry point for Nemotron 3.5 Parse. + +Installing this repository registers the target visual-prefix model and its +one-step MTP proposer in every vLLM process. This replaces the implicit +``sitecustomize``/``PYTHONPATH`` startup hook with vLLM's documented plugin +lifecycle while preserving the validated vLLM 0.26 compatibility patches. +""" + +from __future__ import annotations + +from importlib.metadata import PackageNotFoundError, version + +from packaging.specifiers import SpecifierSet + + +_SUPPORTED_RUNTIME = { + "vllm": ">=0.25.0,<0.33", + "transformers": ">=5.14.1,<5.20", + "huggingface-hub": ">=1.24.0,<2", +} + + +def _validate_runtime_versions() -> None: + """Reject unsupported serving versions before applying internal hooks.""" + mismatches = [] + for package, expected in _SUPPORTED_RUNTIME.items(): + try: + actual = version(package) + except PackageNotFoundError: + actual = "not installed" + if actual == "not installed" or not SpecifierSet(expected).contains(actual, prereleases=False): + mismatches.append(f"{package}=={actual} (requires {expected})") + if mismatches: + raise RuntimeError( + "Nemotron 3.5 Parse vLLM plugin requires a supported runtime: " + + ", ".join(f"{name}{value}" for name, value in _SUPPORTED_RUNTIME.items()) + + ". Found: " + + ", ".join(mismatches) + ) + + +def _register_mtp() -> None: + from vllm.config.speculative import SpeculativeConfig + from vllm.model_executor.models import ModelRegistry + + if "ParseAuxMTPModel" not in ModelRegistry.get_supported_archs(): + ModelRegistry.register_model( + "ParseAuxMTPModel", + "vllm_tied_patch.vllm_radio_mbart_mtp:ParseAuxMTPModel", + ) + + original_override = SpeculativeConfig.hf_config_override + if getattr(original_override, "_np_parse_aux_mtp", False): + return + + def parse_mtp_override(hf_config): + architectures = getattr(hf_config, "architectures", []) or [] + if "RadioMBartPrefixForCausalLM" in architectures: + hf_config.model_type = "mtp" + hf_config.update( + { + "architectures": ["ParseAuxMTPModel"], + "n_predict": 1, + "num_nextn_predict_layers": 1, + } + ) + return hf_config + return original_override(hf_config) + + parse_mtp_override._np_parse_aux_mtp = True + SpeculativeConfig.hf_config_override = staticmethod(parse_mtp_override) + + +def register() -> None: + """Register 3.5 Parse target and draft models in the current process.""" + _validate_runtime_versions() + # Importing the compatibility module applies the pinned vLLM 0.26 SO400M, + # NaViT, GQA, target-model registration, and optional FA3 compatibility + # hooks. Unlike top-level sitecustomize discovery, this is invoked by + # vLLM's explicit general-plugin loader in every process. + from . import compatibility as _compat # noqa: F401 + + _register_mtp() + from .defaults import register_serving_defaults + + register_serving_defaults() diff --git a/vllm_tied_patch/vllm_radio_mbart_mtp.py b/vllm_tied_patch/vllm_radio_mbart_mtp.py new file mode 100644 index 0000000000000000000000000000000000000000..32e0f12066783f16365aa02b7622dcac1bf11c55 --- /dev/null +++ b/vllm_tied_patch/vllm_radio_mbart_mtp.py @@ -0,0 +1,91 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""One-step Nemotron 3.5 Parse auxiliary-head proposer for vLLM MTP.""" + +from __future__ import annotations + +from collections.abc import Iterable +from pathlib import Path + +import torch +import torch.nn as nn +from .mtp_weights import load_auxiliary_weights + +from vllm.config import VllmConfig +from vllm.model_executor.layers.logits_processor import LogitsProcessor +from vllm.model_executor.layers.vocab_parallel_embedding import ParallelLMHead +from vllm.model_executor.model_loader.weight_utils import default_weight_loader + + +class _ParseAuxMTPInner(nn.Module): + def __init__(self, vocab_size: int, hidden_size: int): + super().__init__() + self.embed_tokens = nn.Embedding(vocab_size, hidden_size) + self.extra_proj = nn.Linear(hidden_size, hidden_size) + self.extra_head = nn.Linear(hidden_size, hidden_size) + + def forward(self, input_ids: torch.Tensor, hidden_states: torch.Tensor) -> torch.Tensor: + next_token_embeds = self.embed_tokens(input_ids) + return self.extra_head(hidden_states + self.extra_proj(next_token_embeds)) + + +class ParseAuxMTPModel(nn.Module): + """Draft model backed by Nemotron 3.5 Parse's trained one-step auxiliary head.""" + + # vLLM replaces both temporary modules with the target model's tied + # decoder embedding and LM head after loading, so there is no persistent + # duplicate vocabulary matrix at inference time. + has_own_embed_tokens = False + has_own_lm_head = False + + def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""): + super().__init__() + del prefix + config = vllm_config.model_config.hf_config + decoder = getattr(config, "decoder", None) + vocab_size = int( + getattr(decoder, "vocab_size", getattr(config, "vocab_size")) + ) + hidden_size = int( + getattr(decoder, "d_model", getattr(config, "hidden_size")) + ) + self.model = _ParseAuxMTPInner(vocab_size, hidden_size) + self.lm_head = ParallelLMHead(vocab_size, hidden_size) + self.lm_head = self.lm_head.tie_weights(self.model.embed_tokens) + self.logits_processor = LogitsProcessor(vocab_size, vocab_size) + self.model_path = Path(vllm_config.model_config.model) + self.model_revision = getattr(vllm_config.model_config, "revision", None) + + def forward( + self, + input_ids: torch.Tensor, + positions: torch.Tensor, + hidden_states: torch.Tensor, + inputs_embeds: torch.Tensor | None = None, + **kwargs, + ) -> torch.Tensor: + del positions, inputs_embeds, kwargs + return self.model(input_ids, hidden_states) + + def compute_logits(self, hidden_states: torch.Tensor) -> torch.Tensor: + return self.logits_processor(self.lm_head, hidden_states) + + def embed_input_ids(self, input_ids: torch.Tensor) -> torch.Tensor: + return self.model.embed_tokens(input_ids) + + def load_weights(self, weights: Iterable[tuple[str, torch.Tensor]]): + mapping = { + "decoder.extra_heads.0.weight": self.model.extra_head.weight, + "decoder.extra_heads.0.bias": self.model.extra_head.bias, + "decoder.extra_proj.0.weight": self.model.extra_proj.weight, + "decoder.extra_proj.0.bias": self.model.extra_proj.bias, + } + return load_auxiliary_weights( + weights, + embedding=self.model.embed_tokens.weight, + parameters=mapping, + weight_loader=default_weight_loader, + model_path=self.model_path, + revision=self.model_revision, + ) diff --git a/vllm_tied_patch/vllm_radio_mbart_prefix.py b/vllm_tied_patch/vllm_radio_mbart_prefix.py new file mode 100644 index 0000000000000000000000000000000000000000..a9fb25e739e5c4e2c2e5285cde81df95778aab39 --- /dev/null +++ b/vllm_tied_patch/vllm_radio_mbart_prefix.py @@ -0,0 +1,437 @@ +# SPDX-FileCopyrightText: Copyright (c) 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved. +# SPDX-License-Identifier: OpenMDW-1.1 + +"""vLLM 0.26 C-RADIO + same-weight mBART causal visual-prefix adapter.""" + +from __future__ import annotations + +from collections.abc import Iterable, Mapping, Sequence +import os + +import torch +import torch.nn as nn +from transformers import BatchFeature, PretrainedConfig + +from vllm.config import VllmConfig +from vllm.config.multimodal import BaseDummyOptions +from vllm.distributed import get_tensor_model_parallel_world_size +from vllm.inputs import MultiModalDataDict +from vllm.model_executor.layers.logits_processor import LogitsProcessor +from vllm.model_executor.layers.activation import get_act_fn +from vllm.model_executor.layers.linear import ColumnParallelLinear, RowParallelLinear +from vllm.model_executor.layers.vocab_parallel_embedding import ParallelLMHead +from vllm.model_executor.model_loader.weight_utils import default_weight_loader +from vllm.model_executor.models.interfaces import MultiModalEmbeddings, SupportsMultiModal +from vllm.model_executor.models.module_mapping import MultiModelKeys +from vllm.model_executor.models.nemotron_parse import ( + BartScaledWordEmbedding, + RadioWithNeck, + WhisperAttention, +) +from vllm.multimodal import MULTIMODAL_REGISTRY +from vllm.multimodal.inputs import MultiModalFieldConfig, MultiModalKwargsItems +from vllm.multimodal.parse import MultiModalDataItems +from vllm.multimodal.processing import ( + BaseDummyInputsBuilder, + BaseMultiModalProcessor, + BaseProcessingInfo, + PromptReplacement, + PromptUpdate, +) +from vllm.v1.attention.backend import AttentionType + + +from .mtp_weights import AUXILIARY_TENSOR_NAMES + + +IMAGE_TOKEN_ID = 1 +IMAGE_TOKEN = "" + + +class MBartPrefixDecoderLayer(nn.Module): + """The trained mBART layer with only its causal self-attention path.""" + + def __init__(self, config, cache_config, quant_config, prefix): + super().__init__() + self.self_attn = WhisperAttention( + embed_dim=config.d_model, + num_heads=config.decoder_attention_heads, + attn_type=AttentionType.DECODER, + cache_config=cache_config, + quant_config=quant_config, + prefix=f"{prefix}.self_attn", + ) + query_heads = int(config.decoder_attention_heads) + total_kv_heads = int( + getattr(config, "self_attention_kv_heads", query_heads) + ) + tp_size = get_tensor_model_parallel_world_size() + if query_heads % tp_size or query_heads % total_kv_heads: + raise ValueError( + "mBART prefix GQA requires TP and KV heads to divide query heads: " + f"query_heads={query_heads}, total_kv_heads={total_kv_heads}, " + f"tp_size={tp_size}" + ) + if total_kv_heads < tp_size and tp_size % total_kv_heads: + raise ValueError( + f"TP size {tp_size} must be divisible by KV heads {total_kv_heads}" + ) + expected_local_kv_heads = ( + total_kv_heads // tp_size + if total_kv_heads >= tp_size + else 1 + ) + actual_local_kv_heads = int( + getattr(self.self_attn, "num_kv_heads", query_heads // tp_size) + ) + if actual_local_kv_heads != expected_local_kv_heads: + raise RuntimeError( + "mBART prefix GQA mismatch: " + f"query_heads={query_heads}, total_kv_heads={total_kv_heads}, " + f"tp_size={tp_size}, expected_local_kv_heads=" + f"{expected_local_kv_heads}, actual_local_kv_heads=" + f"{actual_local_kv_heads}. Ensure the vLLM GQA patch runs " + "before importing vllm_radio_mbart_prefix." + ) + self.self_attn_layer_norm = nn.LayerNorm(config.d_model) + self.final_layer_norm = nn.LayerNorm(config.d_model) + self.activation_fn = get_act_fn(config.activation_function) + self.fc1 = ColumnParallelLinear( + config.d_model, config.decoder_ffn_dim, bias=True, + quant_config=quant_config, prefix=f"{prefix}.fc1", + ) + self.fc2 = RowParallelLinear( + config.decoder_ffn_dim, config.d_model, bias=True, + quant_config=quant_config, prefix=f"{prefix}.fc2", + ) + + def forward(self, hidden_states): + residual = hidden_states + hidden_states = self.self_attn_layer_norm(hidden_states) + hidden_states = residual + self.self_attn(hidden_states=hidden_states) + residual = hidden_states + hidden_states = self.final_layer_norm(hidden_states) + hidden_states, _ = self.fc1(hidden_states) + hidden_states = self.activation_fn(hidden_states) + hidden_states, _ = self.fc2(hidden_states) + return residual + hidden_states + + +class MBartPrefixDecoder(nn.Module): + def __init__(self, config, cache_config, quant_config, prefix): + super().__init__() + scale = config.d_model**0.5 if config.scale_embedding else 1.0 + self.embed_tokens = BartScaledWordEmbedding(config.vocab_size, config.d_model, embed_scale=scale) + self.layers = nn.ModuleList([ + MBartPrefixDecoderLayer(config, cache_config, quant_config, f"{prefix}.layers.{index}") + for index in range(config.decoder_layers) + ]) + self.layernorm_embedding = nn.LayerNorm(config.d_model) + self.layer_norm = nn.LayerNorm(config.d_model) + + def embed_input_ids(self, input_ids): + """Expose the causal decoder's embedding entrypoint to vLLM.""" + return self.embed_tokens(input_ids) + + @property + def model(self): + """Expose the inner-language-model contract used by vLLM MTP.""" + return self + + def load_weights(self, weights): + params = dict(self.named_parameters()) + loaded = set() + for name, weight in weights: + if name.startswith("embed_positions") or ".encoder_attn" in name: + continue + for target, source, shard in ((".self_attn.qkv_proj", ".self_attn.q_proj", "q"), (".self_attn.qkv_proj", ".self_attn.k_proj", "k"), (".self_attn.qkv_proj", ".self_attn.v_proj", "v")): + if source in name: + mapped = name.replace(source, target) + if mapped not in params: + raise KeyError(f"Unknown fused mBART prefix parameter: {mapped}") + params[mapped].weight_loader(params[mapped], weight, shard) + loaded.add(mapped) + break + else: + if name not in params: + raise KeyError(f"Unknown mBART prefix parameter: {name}") + loader = getattr(params[name], "weight_loader", default_weight_loader) + loader(params[name], weight) + loaded.add(name) + return loaded + + +def ensure_encoder_config(config): + if isinstance(config.encoder, dict): + config.encoder = PretrainedConfig.from_dict(config.encoder) + if isinstance(config.decoder, dict): + config.decoder = PretrainedConfig.from_dict(config.decoder) + return config.encoder + + +class RadioMBartPrefixProcessingInfo(BaseProcessingInfo): + def get_supported_mm_limits(self) -> Mapping[str, int | None]: + return {"image": 1} + + def get_num_image_tokens(self, height: int = 2048, width: int = 1664) -> int: + config = self.get_hf_config() + encoder = ensure_encoder_config(config) + compression = int(os.environ.get("NP_VLLM_NECK_COMPRESSION", getattr(config, "neck_compression", 4))) + return (height // encoder.patch_size) * ((width // encoder.patch_size) // compression) + 1 + + def get_mm_max_tokens_per_item(self, seq_len, mm_counts): + return {"image": self.get_num_image_tokens()} + + +class RadioMBartPrefixDummyInputsBuilder(BaseDummyInputsBuilder[RadioMBartPrefixProcessingInfo]): + def get_dummy_text(self, mm_counts: Mapping[str, int]) -> str: + return IMAGE_TOKEN * mm_counts.get("image", 0) + + def get_dummy_mm_data(self, seq_len: int, mm_counts: Mapping[str, int], mm_options: Mapping[str, BaseDummyOptions]) -> MultiModalDataDict: + del seq_len + return {"image": self._get_dummy_images(width=1664, height=2048, num_images=mm_counts.get("image", 0), overrides=mm_options.get("image"))} + + +class RadioMBartPrefixProcessor(BaseMultiModalProcessor[RadioMBartPrefixProcessingInfo]): + def _hf_processor_applies_updates( + self, + prompt_text: str, + mm_items: MultiModalDataItems, + hf_processor_mm_kwargs: Mapping[str, object], + tokenization_kwargs: Mapping[str, object], + ) -> bool: + """The HF processor leaves visual-token expansion to vLLM.""" + return False + + def _get_mm_fields_config(self, hf_inputs: BatchFeature, hf_processor_mm_kwargs): + image_sizes = hf_inputs.get("image_sizes", torch.empty((0, 2))) + patch_counts = (image_sizes[:, 0] // 16) * (image_sizes[:, 1] // 16) + return { + "pixel_values": MultiModalFieldConfig.flat_from_sizes("image", patch_counts), + "image_sizes": MultiModalFieldConfig.batched("image", keep_on_cpu=True), + "content_sizes": MultiModalFieldConfig.batched("image", keep_on_cpu=True), + } + + def _get_prompt_updates(self, mm_items: MultiModalDataItems, hf_processor_mm_kwargs: Mapping[str, object], out_mm_kwargs: MultiModalKwargsItems) -> Sequence[PromptUpdate]: + del self, mm_items, hf_processor_mm_kwargs + + def replacement(item_idx: int): + size = out_mm_kwargs["image"][item_idx]["image_sizes"].data + height, width = (int(value) for value in size.reshape(-1).tolist()) + compression = int(os.environ.get("NP_VLLM_NECK_COMPRESSION", "4")) + return [IMAGE_TOKEN_ID] * ((height // 16) * ((width // 16) // compression) + 1) + + return [PromptReplacement(modality="image", target=[IMAGE_TOKEN_ID], replacement=replacement)] + + +@MULTIMODAL_REGISTRY.register_processor( + RadioMBartPrefixProcessor, + info=RadioMBartPrefixProcessingInfo, + dummy_inputs=RadioMBartPrefixDummyInputsBuilder, +) +class RadioMBartPrefixForCausalLM(nn.Module, SupportsMultiModal): + """Use trained mBART causal blocks with visual embeddings in their KV cache.""" + + @classmethod + def get_placeholder_str(cls, modality: str, i: int) -> str | None: + if modality.startswith("image"): + return IMAGE_TOKEN + raise ValueError("Only image modality is supported") + + def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""): + super().__init__() + config = vllm_config.model_config.hf_config + ensure_encoder_config(config) + self.config = config + self.vocab_size = int(config.decoder.vocab_size) + self.configure_mm_token_handling(vocab_size=self.vocab_size, mm_token_ids=[IMAGE_TOKEN_ID]) + with self._mark_tower_model(vllm_config, "image"): + self.encoder = RadioWithNeck(config=config, quant_config=vllm_config.quant_config, prefix=f"{prefix}.encoder") + with self._mark_language_model(vllm_config): + self.decoder = MBartPrefixDecoder( + config.decoder, + vllm_config.cache_config, + vllm_config.quant_config, + f"{prefix}.decoder", + ) + self.lm_head = ParallelLMHead( + self.vocab_size, + config.decoder.d_model, + quant_config=vllm_config.quant_config, + ) + if bool(getattr(config, "tie_word_embeddings", False)): + self.lm_head = self.lm_head.tie_weights(self.decoder.embed_tokens) + if self.lm_head.weight is not self.decoder.embed_tokens.weight: + raise RuntimeError( + "vLLM failed to tie the mBART prefix LM head to decoder embeddings" + ) + print( + "[np-vllm-mbart-prefix] tied lm_head.weight to " + "decoder.embed_tokens.weight", + flush=True, + ) + self.logits_processor = LogitsProcessor(self.vocab_size, self.vocab_size) + + def _parse_and_validate_image_input(self, **kwargs): + pixels = kwargs.pop("pixel_values", None) + sizes = kwargs.pop("image_sizes", None) + content_sizes = kwargs.pop("content_sizes", None) + if pixels is None: + return None + if sizes is None: + raise ValueError("C-RADIO mBART prefix input requires image_sizes") + if content_sizes is None: + raise ValueError("C-RADIO mBART prefix input requires content_sizes") + return { + "data": pixels, + "image_sizes": sizes, + "content_sizes": content_sizes, + } + + def get_language_model(self): + """Return the decoder so vLLM can share its tied embedding/head with MTP.""" + return self.decoder + + def embed_multimodal(self, **kwargs: object) -> MultiModalEmbeddings: + image_input = self._parse_and_validate_image_input(**kwargs) + if image_input is None: + return [] + pixels = image_input["data"] + if pixels.ndim == 2: + pixels = pixels.unsqueeze(0) + dtype = next(self.encoder.parameters()).dtype + return self.encoder( + pixels.to(dtype), + image_sizes=image_input["image_sizes"].reshape(-1, 2).tolist(), + content_sizes=image_input["content_sizes"].reshape(-1, 2).tolist(), + ) + + def _prefix_decoder(self, input_ids, inputs_embeds): + if inputs_embeds is None: + inputs_embeds = self.decoder.embed_tokens(input_ids) + hidden_states = self.decoder.layernorm_embedding(inputs_embeds) + for layer in self.decoder.layers: + hidden_states = layer(hidden_states) + return self.decoder.layer_norm(hidden_states) + + def forward(self, input_ids, positions, intermediate_tensors=None, inputs_embeds=None, **kwargs): + del positions, intermediate_tensors, kwargs + return self._prefix_decoder(input_ids, inputs_embeds) + + def compute_logits(self, hidden_states): + return self.logits_processor(self.lm_head, hidden_states) + + def load_weights(self, weights: Iterable[tuple[str, torch.Tensor]]): + encoder_weights, decoder_weights = [], [] + lm_head = dict(self.lm_head.named_parameters()) + loaded: set[str] = set() + for name, weight in weights: + # Auxiliary tensors belong to the MTP proposer, which reads the + # same checkpoint. They are not parameters of the target model. + if name in AUXILIARY_TENSOR_NAMES: + continue + if name.startswith("encoder."): + encoder_weights.append((name[len("encoder."):], weight)) + elif name.startswith("decoder."): + decoder_weights.append((name[len("decoder."):], weight)) + elif name.startswith("lm_head."): + short = name[len("lm_head."):] + if short not in lm_head: + raise KeyError(f"Unknown mBART prefix LM-head parameter: {short}") + default_weight_loader(lm_head[short], weight) + loaded.add(name) + else: + raise KeyError(f"Unexpected mBART prefix checkpoint tensor: {name}") + + # vLLM 0.26's RadioWithNeck loader does not return its delegated load + # set, so reproduce its small routing layer here and retain RADIO's own + # strict fused-parameter accounting. + encoder_adaptor = { + name: param + for name, param in self.encoder.named_parameters() + if not name.startswith("model_encoder") + } + radio_weights = [] + for name, weight in encoder_weights: + if name.startswith("model_encoder."): + radio_weights.append((name[len("model_encoder."):], weight)) + continue + if name not in encoder_adaptor: + raise KeyError(f"Unknown mBART prefix encoder parameter: {name}") + loader = getattr( + encoder_adaptor[name], "weight_loader", default_weight_loader + ) + loader(encoder_adaptor[name], weight) + loaded.add(f"encoder.{name}") + radio_loaded = self.encoder.model_encoder.load_weights(radio_weights) + # C-RADIOv4-SO400M's timm backbone is constructed without LayerScale: + # every block uses nn.Identity and its checkpoint consequently contains + # no ls1/ls2 tensors. vLLM's shared InternViT layer always materializes + # identity-initialized ls1/ls2 Parameters, while RadioModel.load_weights + # deliberately skips LayerScale entries. Account for those synthetic + # parameters only after proving that this is the SO400M architecture and + # that every value is exactly the source-equivalent identity value. + encoder_args = getattr(self.config.encoder, "args", {}) + radio_model_name = ( + encoder_args.get("model") + if isinstance(encoder_args, Mapping) + else getattr(encoder_args, "model", None) + ) + identity_layerscale_models = { + "vit_so400m_patch16_224", + "vit_so400m_v2_patch16_224", + } + radio_source_names = {name for name, _ in radio_weights} + synthetic_layerscales = { + name: param + for name, param in self.encoder.model_encoder.named_parameters() + if name.endswith((".ls1", ".ls2")) and name not in radio_loaded + } + if synthetic_layerscales: + source_layerscales = { + name + for name in radio_source_names + if ".ls1" in name or ".ls2" in name + } + if radio_model_name not in identity_layerscale_models: + raise RuntimeError( + "vLLM exposed RADIO LayerScale parameters absent from its load " + f"set for unsupported architecture {radio_model_name!r}: " + f"{sorted(synthetic_layerscales)}" + ) + if source_layerscales: + raise RuntimeError( + "SO400M checkpoint unexpectedly contains LayerScale tensors that " + "vLLM ignored: " + f"{sorted(source_layerscales)}" + ) + non_identity = [ + name + for name, param in synthetic_layerscales.items() + if not torch.equal(param.detach(), torch.ones_like(param.detach())) + ] + if non_identity: + raise RuntimeError( + "vLLM synthetic SO400M LayerScale parameters are not identity: " + f"{non_identity}" + ) + radio_loaded.update(synthetic_layerscales) + print( + "[np-vllm-mbart-prefix] accounted for " + f"{len(synthetic_layerscales)} identity-only SO400M LayerScale " + "parameters", + flush=True, + ) + loaded.update(f"encoder.model_encoder.{name}" for name in radio_loaded) + + decoder_loaded = self.decoder.load_weights(decoder_weights) + loaded.update(f"decoder.{name}" for name in decoder_loaded) + if bool(getattr(self.config, "tie_word_embeddings", False)): + if self.lm_head.weight is not self.decoder.embed_tokens.weight: + raise RuntimeError( + "mBART prefix LM-head tie was lost while loading checkpoint weights" + ) + return loaded + + def get_mm_mapping(self) -> MultiModelKeys: + return MultiModelKeys.from_string_field(language_model="decoder", tower_model="encoder")