%global _empty_manifest_terminate_build 0 Name: python-views-transformation-library Version: 2.7.0 Release: 1 Summary: A package containing data transformation functions used by the ViEWS team License: CC-BY-NC URL: https://www.github.com/prio-data/views_transformation_library Source0: https://mirrors.aliyun.com/pypi/web/packages/a2/84/c33fb06acaceb9aad46edd21eee8a8cda0cefceff9e4bb10a61f0d1b87df/views_transformation_library-2.7.0.tar.gz BuildArch: noarch Requires: python3-ingester3 Requires: python3-pandas Requires: python3-scikit_learn Requires: python3-scipy Requires: python3-stepshift Requires: python3-xarray %description # ViEWS Transformation Library This package contains transforms made available in ViEWS cloud. The transforms are all locally available, and do not depend on remote resources or credentials. ## Contributing: There is an urgent need to fill this library with transforms. Transforms we need, that are not implemented, are listed under issues. Please follow the guidelines for contributing outlined in the [CONTRIBUTING.md](CONTRIBUTING.md) document. ## Usage: ``` pip install views-transformation-library ``` ``` from views_transformation_library.timelag import timelag import viewser ged_best_ns = viewser.get_variable("priogrid_month","priogrid_month.ged_best_ns",2010,2020) lagged_data = timelag(ged_best_ns,10) lagged_from_api = viewser.get_variable("priogrid_month","ged_best_ns",2010,2020,transforms:[ {"type":"tlag","args":[10]} ]) assert lagged_from_api == lagged_data ``` ## API: Each transform function operates on a pandas dataframe. ## Funding The contents of this repository is the outcome of projects that have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 694640, *ViEWS*) and Horizon Europe (Grant agreement No. 101055176, *ANTICIPATE*; and No. 101069312, *ViEWS* (ERC-2022-POC1)), Riksbankens Jubileumsfond (Grant agreement No. M21-0002, *Societies at Risk*), Uppsala University, Peace Research Institute Oslo, the United Nations Economic and Social Commission for Western Asia (*ViEWS-ESCWA*), the United Kingdom Foreign, Commonwealth & Development Office (GSRA – *Forecasting Fatalities in Armed Conflict*), the Swedish Research Council (*DEMSCORE*), the Swedish Foundation for Strategic Environmental Research (*MISTRA Geopolitics*), the Norwegian MFA (*Conflict Trends* QZA-18/0227), and the United Nations High Commissioner for Refugees (*the Sahel Predictive Analytics project*). %package -n python3-views-transformation-library Summary: A package containing data transformation functions used by the ViEWS team Provides: python-views-transformation-library BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-views-transformation-library # ViEWS Transformation Library This package contains transforms made available in ViEWS cloud. The transforms are all locally available, and do not depend on remote resources or credentials. ## Contributing: There is an urgent need to fill this library with transforms. Transforms we need, that are not implemented, are listed under issues. Please follow the guidelines for contributing outlined in the [CONTRIBUTING.md](CONTRIBUTING.md) document. ## Usage: ``` pip install views-transformation-library ``` ``` from views_transformation_library.timelag import timelag import viewser ged_best_ns = viewser.get_variable("priogrid_month","priogrid_month.ged_best_ns",2010,2020) lagged_data = timelag(ged_best_ns,10) lagged_from_api = viewser.get_variable("priogrid_month","ged_best_ns",2010,2020,transforms:[ {"type":"tlag","args":[10]} ]) assert lagged_from_api == lagged_data ``` ## API: Each transform function operates on a pandas dataframe. ## Funding The contents of this repository is the outcome of projects that have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 694640, *ViEWS*) and Horizon Europe (Grant agreement No. 101055176, *ANTICIPATE*; and No. 101069312, *ViEWS* (ERC-2022-POC1)), Riksbankens Jubileumsfond (Grant agreement No. M21-0002, *Societies at Risk*), Uppsala University, Peace Research Institute Oslo, the United Nations Economic and Social Commission for Western Asia (*ViEWS-ESCWA*), the United Kingdom Foreign, Commonwealth & Development Office (GSRA – *Forecasting Fatalities in Armed Conflict*), the Swedish Research Council (*DEMSCORE*), the Swedish Foundation for Strategic Environmental Research (*MISTRA Geopolitics*), the Norwegian MFA (*Conflict Trends* QZA-18/0227), and the United Nations High Commissioner for Refugees (*the Sahel Predictive Analytics project*). %package help Summary: Development documents and examples for views-transformation-library Provides: python3-views-transformation-library-doc %description help # ViEWS Transformation Library This package contains transforms made available in ViEWS cloud. The transforms are all locally available, and do not depend on remote resources or credentials. ## Contributing: There is an urgent need to fill this library with transforms. Transforms we need, that are not implemented, are listed under issues. Please follow the guidelines for contributing outlined in the [CONTRIBUTING.md](CONTRIBUTING.md) document. ## Usage: ``` pip install views-transformation-library ``` ``` from views_transformation_library.timelag import timelag import viewser ged_best_ns = viewser.get_variable("priogrid_month","priogrid_month.ged_best_ns",2010,2020) lagged_data = timelag(ged_best_ns,10) lagged_from_api = viewser.get_variable("priogrid_month","ged_best_ns",2010,2020,transforms:[ {"type":"tlag","args":[10]} ]) assert lagged_from_api == lagged_data ``` ## API: Each transform function operates on a pandas dataframe. ## Funding The contents of this repository is the outcome of projects that have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 694640, *ViEWS*) and Horizon Europe (Grant agreement No. 101055176, *ANTICIPATE*; and No. 101069312, *ViEWS* (ERC-2022-POC1)), Riksbankens Jubileumsfond (Grant agreement No. M21-0002, *Societies at Risk*), Uppsala University, Peace Research Institute Oslo, the United Nations Economic and Social Commission for Western Asia (*ViEWS-ESCWA*), the United Kingdom Foreign, Commonwealth & Development Office (GSRA – *Forecasting Fatalities in Armed Conflict*), the Swedish Research Council (*DEMSCORE*), the Swedish Foundation for Strategic Environmental Research (*MISTRA Geopolitics*), the Norwegian MFA (*Conflict Trends* QZA-18/0227), and the United Nations High Commissioner for Refugees (*the Sahel Predictive Analytics project*). %prep %autosetup -n views_transformation_library-2.7.0 %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-views-transformation-library -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Thu Jun 08 2023 Python_Bot - 2.7.0-1 - Package Spec generated