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%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
### 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
### 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
### 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 <Python_Bot@openeuler.org> - 1.0.12-1
- Package Spec generated
|
