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author | CoprDistGit <infra@openeuler.org> | 2023-05-05 08:05:55 +0000 |
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committer | CoprDistGit <infra@openeuler.org> | 2023-05-05 08:05:55 +0000 |
commit | 2dcdc80604f287d84efb96993331cbcf865c8d40 (patch) | |
tree | 22d570510566e8036bd029997bbe2ef486d674ec | |
parent | 0aa0679c0b0578e3ba8f79f871201e85d82c2993 (diff) |
automatic import of python-asreviewopeneuler20.03
-rw-r--r-- | .gitignore | 1 | ||||
-rw-r--r-- | python-asreview.spec | 433 | ||||
-rw-r--r-- | sources | 1 |
3 files changed, 435 insertions, 0 deletions
@@ -0,0 +1 @@ +/asreview-1.2.tar.gz diff --git a/python-asreview.spec b/python-asreview.spec new file mode 100644 index 0000000..e9ce581 --- /dev/null +++ b/python-asreview.spec @@ -0,0 +1,433 @@ +%global _empty_manifest_terminate_build 0 +Name: python-asreview +Version: 1.2 +Release: 1 +Summary: ASReview LAB - A tool for AI-assisted systematic reviews +License: Apache Software License +URL: https://github.com/asreview/asreview +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/c5/25/1f06e4790eb60abd42e32817fcbbfe896ff66585925068b10260f12e399c/asreview-1.2.tar.gz +BuildArch: noarch + +Requires: python3-numpy +Requires: python3-scikit-learn +Requires: python3-pandas +Requires: python3-rispy +Requires: python3-dill +Requires: python3-xlrd +Requires: python3-setuptools +Requires: python3-flask +Requires: python3-flask-cors +Requires: python3-openpyxl +Requires: python3-gevent +Requires: python3-jsonschema +Requires: python3-filelock +Requires: python3-tqdm +Requires: python3-datahugger +Requires: python3-sentence-transformers +Requires: python3-gensim +Requires: python3-check-manifest +Requires: python3-tensorflow +Requires: python3-check-manifest +Requires: python3-gensim +Requires: python3-sentence-transformers +Requires: python3-tensorflow +Requires: python3-coverage +Requires: python3-pytest + +%description +<p align="center"> + <a href="https://github.com/asreview/asreview"> + <img width="60%" height="60%" src="https://raw.githubusercontent.com/asreview/asreview-artwork/master/LogoASReview/SVG/GitHub_Repo_Card_Transparent.svg"> + </a> +</p> + +## ASReview: Active learning for Systematic Reviews + +[](https://badge.fury.io/py/asreview) [](https://actions-badge.atrox.dev/asreview/asreview/goto?ref=master) [](https://asreview.readthedocs.io/en/latest/?badge=latest) [](https://zenodo.org/badge/latestdoi/164874894) + [](https://github.com/asreview/asreview#installation) [](https://bestpractices.coreinfrastructure.org/projects/4755) + +Systematically screening large amounts of textual data is time-consuming and +often tiresome. The rapidly evolving field of Artificial Intelligence (AI) has +allowed the development of AI-aided pipelines that assist in finding relevant +texts for search tasks. A well-established approach to increasing efficiency +is screening prioritization via [Active +Learning](https://asreview.readthedocs.io/en/latest/guides/activelearning.html). + +The Active learning for Systematic Reviews (ASReview) project, published in +[*Nature Machine Intelligence*](https://doi.org/10.1038/s42256-020-00287-7) +implements different machine learning algorithms that interactively query the +researcher. ASReview LAB is designed to accelerate the step of screening +textual data with a minimum of records to be read by a human with no or very +few false negatives. ASReview LAB will save time, increase the quality of +output and strengthen the transparency of work when screening large amounts of +textual data to retrieve relevant information. Active Learning will support +decision-making in any discipline or industry. + +ASReview software implements three different modes: + +- **Oracle** Screen textual data in + interaction with the active learning model. The reviewer is the 'oracle', + making the labeling decisions. +- **Exploration** Explore or + demonstrate ASReview LAB with a completely labeled dataset. This mode is + suitable for teaching purposes. +- **Simulation** Evaluate + the performance of active learning models on fully labeled data. Simulations + can be run in ASReview LAB or via the command line interface with more + advanced options. + + +## Installation + +The ASReview software requires Python 3.7+. Detailed step-by-step instructions +to install Python and ASReview are available for +[Windows](https://asreview.ai/installation-guide-windows/) and +[macOS](https://asreview.ai/installation-guide-macos/) users. + +```bash +pip install asreview +``` + +Upgrade ASReview with the following command: + +```bash +pip install --upgrade asreview +``` + +To install ASReview LAB with Docker, see [Install with Docker](https://asreview.readthedocs.io/en/latest/installation.html). + +## How it works + +[](https://www.youtube.com/watch?v=k-a2SCq-LtA) + + +## Getting started + +[Getting Started with ASReview +LAB](https://asreview.readthedocs.io/en/latest/about.html). + +[](https://asreview.readthedocs.io/en/latest/lab/overview_lab.html "ASReview LAB") + +## Citation + +The following publication in [Nature Machine +Intelligence](https://doi.org/10.1038/s42256-020-00287-7) can be used to cite +the project. + +> van de Schoot, R., de Bruin, J., Schram, R. et al. An open source machine + learning framework for efficient and transparent systematic reviews. + Nat Mach Intell 3, 125–133 (2021). https://doi.org/10.1038/s42256-020-00287-7 + +For citing the software, please refer to the specific release of +the ASReview software on Zenodo https://doi.org/10.5281/zenodo.3345592. The menu on the +right can be used to find the citation format of prevalence. + +For more scientific publications on the ASReview software, go to +[asreview.ai/papers](https://asreview.ai/papers/). + +## Contact + +For an overview of the team working on ASReview, see [ASReview Research Team](https://asreview.ai/about). +ASReview LAB is maintained by +[Jonathan de Bruin](https://github.com/J535D165) and [Yongchao Terry Ma](https://github.com/terrymyc). + +The best resources to find an answer to your question or ways to get in +contact with the team are: + +- Documentation - [asreview.readthedocs.io](https://asreview.readthedocs.io/) +- Newsletter - [asreview.ai/newsletter/subscribe](https://asreview.ai/newsletter/subscribe) +- Quick tour - [ASReview LAB quick tour](https://asreview.readthedocs.io/en/latest/lab/overview_lab.html) +- Issues or feature requests - [ASReview issue tracker](https://github.com/asreview/asreview/issues) +- FAQ - [ASReview Discussions](https://github.com/asreview/asreview/discussions?discussions_q=sort%3Atop) +- Donation - [asreview.ai/donate](https://asreview.ai/donate) +- Contact - [asreview@uu.nl](mailto:asreview@uu.nl) + +## License + +The ASReview software has an Apache 2.0 [LICENSE](LICENSE). The ASReview team +accepts no responsibility or liability for the use of the ASReview tool or any +direct or indirect damages arising out of the application of the tool. + + +%package -n python3-asreview +Summary: ASReview LAB - A tool for AI-assisted systematic reviews +Provides: python-asreview +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-asreview +<p align="center"> + <a href="https://github.com/asreview/asreview"> + <img width="60%" height="60%" src="https://raw.githubusercontent.com/asreview/asreview-artwork/master/LogoASReview/SVG/GitHub_Repo_Card_Transparent.svg"> + </a> +</p> + +## ASReview: Active learning for Systematic Reviews + +[](https://badge.fury.io/py/asreview) [](https://actions-badge.atrox.dev/asreview/asreview/goto?ref=master) [](https://asreview.readthedocs.io/en/latest/?badge=latest) [](https://zenodo.org/badge/latestdoi/164874894) + [](https://github.com/asreview/asreview#installation) [](https://bestpractices.coreinfrastructure.org/projects/4755) + +Systematically screening large amounts of textual data is time-consuming and +often tiresome. The rapidly evolving field of Artificial Intelligence (AI) has +allowed the development of AI-aided pipelines that assist in finding relevant +texts for search tasks. A well-established approach to increasing efficiency +is screening prioritization via [Active +Learning](https://asreview.readthedocs.io/en/latest/guides/activelearning.html). + +The Active learning for Systematic Reviews (ASReview) project, published in +[*Nature Machine Intelligence*](https://doi.org/10.1038/s42256-020-00287-7) +implements different machine learning algorithms that interactively query the +researcher. ASReview LAB is designed to accelerate the step of screening +textual data with a minimum of records to be read by a human with no or very +few false negatives. ASReview LAB will save time, increase the quality of +output and strengthen the transparency of work when screening large amounts of +textual data to retrieve relevant information. Active Learning will support +decision-making in any discipline or industry. + +ASReview software implements three different modes: + +- **Oracle** Screen textual data in + interaction with the active learning model. The reviewer is the 'oracle', + making the labeling decisions. +- **Exploration** Explore or + demonstrate ASReview LAB with a completely labeled dataset. This mode is + suitable for teaching purposes. +- **Simulation** Evaluate + the performance of active learning models on fully labeled data. Simulations + can be run in ASReview LAB or via the command line interface with more + advanced options. + + +## Installation + +The ASReview software requires Python 3.7+. Detailed step-by-step instructions +to install Python and ASReview are available for +[Windows](https://asreview.ai/installation-guide-windows/) and +[macOS](https://asreview.ai/installation-guide-macos/) users. + +```bash +pip install asreview +``` + +Upgrade ASReview with the following command: + +```bash +pip install --upgrade asreview +``` + +To install ASReview LAB with Docker, see [Install with Docker](https://asreview.readthedocs.io/en/latest/installation.html). + +## How it works + +[](https://www.youtube.com/watch?v=k-a2SCq-LtA) + + +## Getting started + +[Getting Started with ASReview +LAB](https://asreview.readthedocs.io/en/latest/about.html). + +[](https://asreview.readthedocs.io/en/latest/lab/overview_lab.html "ASReview LAB") + +## Citation + +The following publication in [Nature Machine +Intelligence](https://doi.org/10.1038/s42256-020-00287-7) can be used to cite +the project. + +> van de Schoot, R., de Bruin, J., Schram, R. et al. An open source machine + learning framework for efficient and transparent systematic reviews. + Nat Mach Intell 3, 125–133 (2021). https://doi.org/10.1038/s42256-020-00287-7 + +For citing the software, please refer to the specific release of +the ASReview software on Zenodo https://doi.org/10.5281/zenodo.3345592. The menu on the +right can be used to find the citation format of prevalence. + +For more scientific publications on the ASReview software, go to +[asreview.ai/papers](https://asreview.ai/papers/). + +## Contact + +For an overview of the team working on ASReview, see [ASReview Research Team](https://asreview.ai/about). +ASReview LAB is maintained by +[Jonathan de Bruin](https://github.com/J535D165) and [Yongchao Terry Ma](https://github.com/terrymyc). + +The best resources to find an answer to your question or ways to get in +contact with the team are: + +- Documentation - [asreview.readthedocs.io](https://asreview.readthedocs.io/) +- Newsletter - [asreview.ai/newsletter/subscribe](https://asreview.ai/newsletter/subscribe) +- Quick tour - [ASReview LAB quick tour](https://asreview.readthedocs.io/en/latest/lab/overview_lab.html) +- Issues or feature requests - [ASReview issue tracker](https://github.com/asreview/asreview/issues) +- FAQ - [ASReview Discussions](https://github.com/asreview/asreview/discussions?discussions_q=sort%3Atop) +- Donation - [asreview.ai/donate](https://asreview.ai/donate) +- Contact - [asreview@uu.nl](mailto:asreview@uu.nl) + +## License + +The ASReview software has an Apache 2.0 [LICENSE](LICENSE). The ASReview team +accepts no responsibility or liability for the use of the ASReview tool or any +direct or indirect damages arising out of the application of the tool. + + +%package help +Summary: Development documents and examples for asreview +Provides: python3-asreview-doc +%description help +<p align="center"> + <a href="https://github.com/asreview/asreview"> + <img width="60%" height="60%" src="https://raw.githubusercontent.com/asreview/asreview-artwork/master/LogoASReview/SVG/GitHub_Repo_Card_Transparent.svg"> + </a> +</p> + +## ASReview: Active learning for Systematic Reviews + +[](https://badge.fury.io/py/asreview) [](https://actions-badge.atrox.dev/asreview/asreview/goto?ref=master) [](https://asreview.readthedocs.io/en/latest/?badge=latest) [](https://zenodo.org/badge/latestdoi/164874894) + [](https://github.com/asreview/asreview#installation) [](https://bestpractices.coreinfrastructure.org/projects/4755) + +Systematically screening large amounts of textual data is time-consuming and +often tiresome. The rapidly evolving field of Artificial Intelligence (AI) has +allowed the development of AI-aided pipelines that assist in finding relevant +texts for search tasks. A well-established approach to increasing efficiency +is screening prioritization via [Active +Learning](https://asreview.readthedocs.io/en/latest/guides/activelearning.html). + +The Active learning for Systematic Reviews (ASReview) project, published in +[*Nature Machine Intelligence*](https://doi.org/10.1038/s42256-020-00287-7) +implements different machine learning algorithms that interactively query the +researcher. ASReview LAB is designed to accelerate the step of screening +textual data with a minimum of records to be read by a human with no or very +few false negatives. ASReview LAB will save time, increase the quality of +output and strengthen the transparency of work when screening large amounts of +textual data to retrieve relevant information. Active Learning will support +decision-making in any discipline or industry. + +ASReview software implements three different modes: + +- **Oracle** Screen textual data in + interaction with the active learning model. The reviewer is the 'oracle', + making the labeling decisions. +- **Exploration** Explore or + demonstrate ASReview LAB with a completely labeled dataset. This mode is + suitable for teaching purposes. +- **Simulation** Evaluate + the performance of active learning models on fully labeled data. Simulations + can be run in ASReview LAB or via the command line interface with more + advanced options. + + +## Installation + +The ASReview software requires Python 3.7+. Detailed step-by-step instructions +to install Python and ASReview are available for +[Windows](https://asreview.ai/installation-guide-windows/) and +[macOS](https://asreview.ai/installation-guide-macos/) users. + +```bash +pip install asreview +``` + +Upgrade ASReview with the following command: + +```bash +pip install --upgrade asreview +``` + +To install ASReview LAB with Docker, see [Install with Docker](https://asreview.readthedocs.io/en/latest/installation.html). + +## How it works + +[](https://www.youtube.com/watch?v=k-a2SCq-LtA) + + +## Getting started + +[Getting Started with ASReview +LAB](https://asreview.readthedocs.io/en/latest/about.html). + +[](https://asreview.readthedocs.io/en/latest/lab/overview_lab.html "ASReview LAB") + +## Citation + +The following publication in [Nature Machine +Intelligence](https://doi.org/10.1038/s42256-020-00287-7) can be used to cite +the project. + +> van de Schoot, R., de Bruin, J., Schram, R. et al. An open source machine + learning framework for efficient and transparent systematic reviews. + Nat Mach Intell 3, 125–133 (2021). https://doi.org/10.1038/s42256-020-00287-7 + +For citing the software, please refer to the specific release of +the ASReview software on Zenodo https://doi.org/10.5281/zenodo.3345592. The menu on the +right can be used to find the citation format of prevalence. + +For more scientific publications on the ASReview software, go to +[asreview.ai/papers](https://asreview.ai/papers/). + +## Contact + +For an overview of the team working on ASReview, see [ASReview Research Team](https://asreview.ai/about). +ASReview LAB is maintained by +[Jonathan de Bruin](https://github.com/J535D165) and [Yongchao Terry Ma](https://github.com/terrymyc). + +The best resources to find an answer to your question or ways to get in +contact with the team are: + +- Documentation - [asreview.readthedocs.io](https://asreview.readthedocs.io/) +- Newsletter - [asreview.ai/newsletter/subscribe](https://asreview.ai/newsletter/subscribe) +- Quick tour - [ASReview LAB quick tour](https://asreview.readthedocs.io/en/latest/lab/overview_lab.html) +- Issues or feature requests - [ASReview issue tracker](https://github.com/asreview/asreview/issues) +- FAQ - [ASReview Discussions](https://github.com/asreview/asreview/discussions?discussions_q=sort%3Atop) +- Donation - [asreview.ai/donate](https://asreview.ai/donate) +- Contact - [asreview@uu.nl](mailto:asreview@uu.nl) + +## License + +The ASReview software has an Apache 2.0 [LICENSE](LICENSE). The ASReview team +accepts no responsibility or liability for the use of the ASReview tool or any +direct or indirect damages arising out of the application of the tool. + + +%prep +%autosetup -n asreview-1.2 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-asreview -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2-1 +- Package Spec generated @@ -0,0 +1 @@ +e39a545be55df0c65a1e176df28e50bc asreview-1.2.tar.gz |