%global _empty_manifest_terminate_build 0 Name: python-rediz Version: 1.0.12 Release: 1 Summary: Powering community nowcasts at www.microprediction.org License: MIT URL: https://github.com/microprediction/rediz Source0: https://mirrors.nju.edu.cn/pypi/web/packages/9f/41/0cbf558ccc0842b6884857697ffe7b6751df3b5f57b6de2e578f04e0b86e/rediz-1.0.12.tar.gz BuildArch: noarch Requires: python3-microconventions Requires: python3-fakeredis Requires: python3-getjson Requires: python3-redis Requires: python3-sortedcontainers Requires: python3-numpy Requires: python3-pymorton Requires: python3-scipy %description # Rediz Server code for open community microprediction at www.microprediction.org. ### Microprediction.Org ![](https://i.imgur.com/yKItXmT.png) ### Overview The python packages called "microprediction" (user client library) and "rediz" (system implementation using redis as transport) are demonstrated at www.microprediction.org, where they make it easy for anyone who needs a live source of data predicted to receive help from clever humans and self-navigating time series algorithms. They do this by: - Obtaining a write_key with microconventions.create_key(difficulty=12), which takes several hours - Using the write_key to update a live quantity, such as https://www.microprediction.org/live/cop.json - Repeating often. They can then access history (e.g. https://www.microprediction.org/live/lagged::cop.json) and predictions (e.g. https://www.microprediction.org/cdf/cop.json). This is an easy way to normalize data and perform anomaly detection. Over time it may garner other insights such as assessment of the predictive value of the data stream the identities of streams that might be causally related. This setup is especially well suited to collective prediction of civic data streams such as transport, water, electricity, public supply chain indicators or the spread of infectious diseases. The client library https://github.com/microprediction/rediz/blob/master/README.md and site www.microprediction.org provide more information. ### Related packages and dependencies muid getjson | | microconventions | | rediz microprediction - Conventions https://github.com/microprediction/microconventions/blob/master/README.md - Microprediction https://github.com/microprediction/rediz/blob/master/README.md ### Rediz details This may be a little stale. - https://github.com/microprediction/rediz/blob/master/README_REDIZ.md - https://github.com/microprediction/rediz/blob/master/README_REDIZ_DETAILS.md %package -n python3-rediz Summary: Powering community nowcasts at www.microprediction.org Provides: python-rediz BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-rediz # Rediz Server code for open community microprediction at www.microprediction.org. ### Microprediction.Org ![](https://i.imgur.com/yKItXmT.png) ### Overview The python packages called "microprediction" (user client library) and "rediz" (system implementation using redis as transport) are demonstrated at www.microprediction.org, where they make it easy for anyone who needs a live source of data predicted to receive help from clever humans and self-navigating time series algorithms. They do this by: - Obtaining a write_key with microconventions.create_key(difficulty=12), which takes several hours - Using the write_key to update a live quantity, such as https://www.microprediction.org/live/cop.json - Repeating often. They can then access history (e.g. https://www.microprediction.org/live/lagged::cop.json) and predictions (e.g. https://www.microprediction.org/cdf/cop.json). This is an easy way to normalize data and perform anomaly detection. Over time it may garner other insights such as assessment of the predictive value of the data stream the identities of streams that might be causally related. This setup is especially well suited to collective prediction of civic data streams such as transport, water, electricity, public supply chain indicators or the spread of infectious diseases. The client library https://github.com/microprediction/rediz/blob/master/README.md and site www.microprediction.org provide more information. ### Related packages and dependencies muid getjson | | microconventions | | rediz microprediction - Conventions https://github.com/microprediction/microconventions/blob/master/README.md - Microprediction https://github.com/microprediction/rediz/blob/master/README.md ### Rediz details This may be a little stale. - https://github.com/microprediction/rediz/blob/master/README_REDIZ.md - https://github.com/microprediction/rediz/blob/master/README_REDIZ_DETAILS.md %package help Summary: Development documents and examples for rediz Provides: python3-rediz-doc %description help # Rediz Server code for open community microprediction at www.microprediction.org. ### Microprediction.Org ![](https://i.imgur.com/yKItXmT.png) ### Overview The python packages called "microprediction" (user client library) and "rediz" (system implementation using redis as transport) are demonstrated at www.microprediction.org, where they make it easy for anyone who needs a live source of data predicted to receive help from clever humans and self-navigating time series algorithms. They do this by: - Obtaining a write_key with microconventions.create_key(difficulty=12), which takes several hours - Using the write_key to update a live quantity, such as https://www.microprediction.org/live/cop.json - Repeating often. They can then access history (e.g. https://www.microprediction.org/live/lagged::cop.json) and predictions (e.g. https://www.microprediction.org/cdf/cop.json). This is an easy way to normalize data and perform anomaly detection. Over time it may garner other insights such as assessment of the predictive value of the data stream the identities of streams that might be causally related. This setup is especially well suited to collective prediction of civic data streams such as transport, water, electricity, public supply chain indicators or the spread of infectious diseases. The client library https://github.com/microprediction/rediz/blob/master/README.md and site www.microprediction.org provide more information. ### Related packages and dependencies muid getjson | | microconventions | | rediz microprediction - Conventions https://github.com/microprediction/microconventions/blob/master/README.md - Microprediction https://github.com/microprediction/rediz/blob/master/README.md ### Rediz details This may be a little stale. - https://github.com/microprediction/rediz/blob/master/README_REDIZ.md - https://github.com/microprediction/rediz/blob/master/README_REDIZ_DETAILS.md %prep %autosetup -n rediz-1.0.12 %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-rediz -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 1.0.12-1 - Package Spec generated