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Merge pull request #5041 from aboutcode-org/release-prep-v33.0.0rc1
Bump version and CHANGELOG to v33.0.0rc1
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CHANGELOG.rst

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Next release
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--------------
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v33.0.0rc1 - 2026-05-14
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------------------------
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This is a major release candidate with major changes in packaging,
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with the licensedcode-data and licensedcode-index being published
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in two seperate wheels. Also adds linux/macos ARM support in
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release archives and pypi wheels.
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- Remove the licensedcode data and built license indexes from the
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main scancode-toolkit built wheel, and release them as
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seperate wheels which scancode-toolkit depends on.
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This enables to release scancode licensedb data/index wheels
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seperately whenever necessary and also reduces the scancode
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wheel size greatly. For more details see:
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https://github.com/aboutcode-org/scancode-toolkit/issues/3459
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- Add macos ARM and linux arm support in release archives and
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pypi wheels through ``scancode-toolkit-mini`` which uses
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system provided libraries instead of bundled binaries.
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Also use updated non pure-python dependencies supporting
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linux/macos arm wheels. For more details see:
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https://github.com/aboutcode-org/scancode-toolkit/issues/3205
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https://github.com/aboutcode-org/scancode-toolkit/issues/3958
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- Add new and updates licenses, and license rules, including
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support for the SPDX License List 3.28
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https://github.com/aboutcode-org/scancode-toolkit/pull/4956
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- Add support for the Python UV package manager. Two new package data
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handlers parse ``pyproject.toml`` files containing a ``[tool.uv]`` table
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and ``uv.lock`` lockfiles, including PEP 735 ``[dependency-groups]``,
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single Python package.
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https://github.com/aboutcode-org/scancode-toolkit/issues/4501
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v3.5.0 - 2026-01-15
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v32.5.0 - 2026-01-15
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-------------------
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- Improve package scan performance by:

pyproject-licensedcode-data.toml

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[project]
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name = "licensedcode-data"
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version = "32.5.0"
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version = "33.0.0rc1"
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description = "A packaging of the ScanCode licensedb license and license rules database."
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long_description_content_type = "text/x-rst"
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readme = "src/licensedcode/data/README.rst"

pyproject-licensedcode-index.toml

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[project]
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name = "licensedcode-index"
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version = "33.0.0rc1"
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description = "A packaging of the ScanCode licensedb license and license rules pre-built index. Can only be used with ScanCode-Toolkit."
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long_description_content_type = "text/x-rst"
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readme = "src/licensedcode/data/README.rst"

pyproject-scancode-toolkit-mini.toml

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[project]
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name = "scancode-toolkit-mini"
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version = "32.5.0"
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version = "33.0.0rc1"
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description = "ScanCode is a tool to scan code for license, copyright, package and their documented dependencies and other interesting facts."
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readme = "README.rst"
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license = { text = "Apache-2.0 AND CC-BY-4.0 AND LicenseRef-scancode-other-permissive AND LicenseRef-scancode-other-copyleft" }
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current_version = "33.0.0rc1"
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pyproject-scancode-toolkit.toml

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[project]
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name = "scancode-toolkit"
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version = "33.0.0rc1"
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description = "ScanCode is a tool to scan code for license, copyright, package and their documented dependencies and other interesting facts."
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readme = "README.rst"
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license = { text = "Apache-2.0 AND CC-BY-4.0 AND LicenseRef-scancode-other-permissive AND LicenseRef-scancode-other-copyleft" }
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pyproject.toml

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name = "scancode-toolkit-devel"
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version = "33.0.0rc1"
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description = "ScanCode is a tool to scan code for license, copyright, package and their documented dependencies and other interesting facts."
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readme = "README.rst"
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license = { text = "Apache-2.0 AND CC-BY-4.0 AND LicenseRef-scancode-other-permissive AND LicenseRef-scancode-other-copyleft" }
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src/licensedcode/data/licenses/ai-sweden-llm-ai-model-2023.LICENSE

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---
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key: aixfunestudio-model-1.6
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short_name: AIxFun eStudio Model v1.6
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name: AIxFun eStudio Model License Version 1.6
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category: Commercial
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owner: AIxFun eStudio
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homepage_url: https://huggingface.co/AIxFuneStudio/Soul_Spark_Z-Image_Turbo/blob/main/LICENSE.md
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spdx_license_key: LicenseRef-scancode-aixfunestudio-model-1.6
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ignorable_urls:
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- https://freedevproject.org/faipl-1.0-sd/
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- https://github.com/Stability-AI/generative-models/blob/main/model_licenses/LICENSE-SDXL1.0
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- https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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- https://huggingface.co/spaces/CompVis/stable-diffusion-license
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---
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AIxFun eStudio Model License Version 1.6 – August 1, 2025
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This license (“License”) governs your access to and use of the AIxFun eStudio models (the “Models”) made available by AIxFun eStudio (“Licensor”). By downloading, accessing, or using the Models, you agree to be bound by this License. If you do not agree, do not download, access, or use the Models.
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Ownership and Reservation of Rights
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Licensor retains all rights, title, and interest in and to the Models. No ownership or other rights are transferred to Licensee except for the limited license rights expressly granted herein.
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License Grant
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Subject to your compliance and payment (if any), Licensor grants You a personal, non-exclusive, non-transferable, revocable, royalty-free license to access and use the Models solely for generating Outputs for personal entertainment or creative use, in compliance with applicable U.S. and Israeli laws.
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Access Tiers
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• Free models: available at no charge; access granted upon purchasing the free Ko-fi product. • Paid models: access granted only after purchase or subscription via Ko-fi (future tiers may include Patreon or SubscribeStar). • Monthly subscription tiers:
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Permitted Uses
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You may generate and use Outputs, including for commercial purposes, provided you comply with all provisions of this License and applicable U.S. and Israeli laws.
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Some Models incorporate or build upon third-party base models. You must comply with the terms of those base model licenses when using such Models. Licensor makes no representations regarding the availability, accuracy, or continued validity of third-party base model licenses; you should review those licenses directly. The applicable licenses include, but are not limited to: • SDXL 1.0 – https://github.com/Stability-AI/generative-models/blob/main/model_licenses/LICENSE-SDXL1.0 • FAIPL 1.0 (Illustrious) – https://freedevproject.org/faipl-1.0-sd/ • FLUX.1-dev – https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md • Stable Diffusion 1.5 – https://huggingface.co/spaces/CompVis/stable-diffusion-license
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Changes to this License
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Export Compliance
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You agree to comply with all applicable export control laws and regulations, including U.S. export laws. Access to and export of the Models, in whole or in part, is prohibited for individuals, entities, or end-users located in or nationals of the following jurisdictions: Iran, Syria, Lebanon, Iraq, North Korea, Cuba, and Russia. You must not transfer, transmit, download, or otherwise make the Models available to any prohibited party or territory.
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If any provision of this License is held unenforceable or invalid, that provision will be limited or eliminated to the minimum extent necessary and the remainder of this License will remain in full force and effect.
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Entire Agreement
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This License constitutes the entire agreement between You and Licensor regarding the Models and supersedes any prior agreements or understandings.
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Governing Law
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---
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key: answercarefully-tou-2025
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short_name: AnswerCarefully Dataset ToU 2025
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name: AnswerCarefully Dataset Terms of Use 2025
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category: Proprietary Free
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owner: LLM-jp
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homepage_url: https://huggingface.co/datasets/llm-jp/AnswerCarefully/blob/main/LICENSE
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spdx_license_key: LicenseRef-scancode-answercarefully-tou-2025
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---
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AnswerCarefully Dataset Terms of Use
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- Terms of Use
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- This dataset is made publicly available for the purpose of improving the safety of LLMs in Japanese and other languages, including for commercial use.
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- Users agree not to use this dataset for any purpose other than improving the safety of LLMs. In particular, it is strictly prohibited to use it to circumvent the safety measures of LLMs.
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- Redistribution of this dataset is not allowed. However, we allow the creation and distribution of any derivative data created from it (including translations, similar data, or synthetic prompts) on the condition that (1) the derivative data does not contain the original data in this dataset; (2) an attribution is given to this dataset. In addition, there is no restriction on sharing this dataset or any derivative work among multiple users who have consented on this license agreement.
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- Due to the nature of this dataset, it contains expressions that may be considered inappropriate, unsafe or offensive. Please use it with caution for the purpose of improving LLM safety.
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- Disclaimer
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- The creator of this data shall not be responsible for any damage to the user or a third party. In addition, the creator shall not be responsible for any damage to the users or third parties due to delays, interruptions, or suspensions of the provision of this data service. The creator may suspend or discontinue the service of this data or modify the information contained in this data without prior notice.

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