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authorCoprDistGit <infra@openeuler.org>2023-05-05 08:05:55 +0000
committerCoprDistGit <infra@openeuler.org>2023-05-05 08:05:55 +0000
commit2dcdc80604f287d84efb96993331cbcf865c8d40 (patch)
tree22d570510566e8036bd029997bbe2ef486d674ec
parent0aa0679c0b0578e3ba8f79f871201e85d82c2993 (diff)
automatic import of python-asreviewopeneuler20.03
-rw-r--r--.gitignore1
-rw-r--r--python-asreview.spec433
-rw-r--r--sources1
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diff --git a/.gitignore b/.gitignore
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--- a/.gitignore
+++ b/.gitignore
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+/asreview-1.2.tar.gz
diff --git a/python-asreview.spec b/python-asreview.spec
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index 0000000..e9ce581
--- /dev/null
+++ b/python-asreview.spec
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+%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
+
+[![PyPI version](https://badge.fury.io/py/asreview.svg)](https://badge.fury.io/py/asreview) [![Build Status](https://img.shields.io/endpoint.svg?url=https%3A%2F%2Factions-badge.atrox.dev%2Fasreview%2Fasreview%2Fbadge%3Fref%3Dmaster&style=flat)](https://actions-badge.atrox.dev/asreview/asreview/goto?ref=master) [![Documentation Status](https://readthedocs.org/projects/asreview/badge/?version=latest)](https://asreview.readthedocs.io/en/latest/?badge=latest) [![DOI](https://zenodo.org/badge/164874894.svg)](https://zenodo.org/badge/latestdoi/164874894)
+ [![Downloads](https://pepy.tech/badge/asreview)](https://github.com/asreview/asreview#installation) [![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/4755/badge)](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
+
+[![ASReview LAB explained - animation](https://img.youtube.com/vi/k-a2SCq-LtA/0.jpg)](https://www.youtube.com/watch?v=k-a2SCq-LtA)
+
+
+## Getting started
+
+[Getting Started with ASReview
+LAB](https://asreview.readthedocs.io/en/latest/about.html).
+
+[![ASReview LAB](https://github.com/asreview/asreview/blob/master/images/ASReviewWebApp.png?raw=true)](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
+
+[![PyPI version](https://badge.fury.io/py/asreview.svg)](https://badge.fury.io/py/asreview) [![Build Status](https://img.shields.io/endpoint.svg?url=https%3A%2F%2Factions-badge.atrox.dev%2Fasreview%2Fasreview%2Fbadge%3Fref%3Dmaster&style=flat)](https://actions-badge.atrox.dev/asreview/asreview/goto?ref=master) [![Documentation Status](https://readthedocs.org/projects/asreview/badge/?version=latest)](https://asreview.readthedocs.io/en/latest/?badge=latest) [![DOI](https://zenodo.org/badge/164874894.svg)](https://zenodo.org/badge/latestdoi/164874894)
+ [![Downloads](https://pepy.tech/badge/asreview)](https://github.com/asreview/asreview#installation) [![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/4755/badge)](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
+
+[![ASReview LAB explained - animation](https://img.youtube.com/vi/k-a2SCq-LtA/0.jpg)](https://www.youtube.com/watch?v=k-a2SCq-LtA)
+
+
+## Getting started
+
+[Getting Started with ASReview
+LAB](https://asreview.readthedocs.io/en/latest/about.html).
+
+[![ASReview LAB](https://github.com/asreview/asreview/blob/master/images/ASReviewWebApp.png?raw=true)](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
+
+[![PyPI version](https://badge.fury.io/py/asreview.svg)](https://badge.fury.io/py/asreview) [![Build Status](https://img.shields.io/endpoint.svg?url=https%3A%2F%2Factions-badge.atrox.dev%2Fasreview%2Fasreview%2Fbadge%3Fref%3Dmaster&style=flat)](https://actions-badge.atrox.dev/asreview/asreview/goto?ref=master) [![Documentation Status](https://readthedocs.org/projects/asreview/badge/?version=latest)](https://asreview.readthedocs.io/en/latest/?badge=latest) [![DOI](https://zenodo.org/badge/164874894.svg)](https://zenodo.org/badge/latestdoi/164874894)
+ [![Downloads](https://pepy.tech/badge/asreview)](https://github.com/asreview/asreview#installation) [![CII Best Practices](https://bestpractices.coreinfrastructure.org/projects/4755/badge)](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
+
+[![ASReview LAB explained - animation](https://img.youtube.com/vi/k-a2SCq-LtA/0.jpg)](https://www.youtube.com/watch?v=k-a2SCq-LtA)
+
+
+## Getting started
+
+[Getting Started with ASReview
+LAB](https://asreview.readthedocs.io/en/latest/about.html).
+
+[![ASReview LAB](https://github.com/asreview/asreview/blob/master/images/ASReviewWebApp.png?raw=true)](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
diff --git a/sources b/sources
new file mode 100644
index 0000000..998bb33
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+e39a545be55df0c65a1e176df28e50bc asreview-1.2.tar.gz