%global _empty_manifest_terminate_build 0 Name: python-ananke-causal Version: 0.3.3 Release: 1 Summary: Ananke, named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language of graphical models. License: Apache 2.0 URL: https://gitlab.com/causal/ananke Source0: https://mirrors.aliyun.com/pypi/web/packages/f3/d0/5eb32ed6eebd312b4f817d7bb6361359ca8066690ebdfc05d998e34888de/ananke_causal-0.3.3.tar.gz BuildArch: noarch Requires: python3-scipy Requires: python3-numpy Requires: python3-pandas Requires: python3-statsmodels Requires: python3-pygraphviz Requires: python3-pgmpy Requires: python3-graphviz %description # Ananke Visit the [website](https://ananke.readthedocs.io) to find out more. [Ananke](https://en.wikipedia.org/wiki/Ananke), named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language of graphical models ## Contributors * Rohit Bhattacharya * Jaron Lee * Razieh Nabi * Preethi Prakash * Ranjani Srinivasan Interested contributors should check out the [CONTRIBUTING.md](CONTRIBUTING.md) for further details. ## Installation If graph visualization is not required then install via `pip`: ``` pip install ananke-causal ``` Alternatively, the package may be installed from gitlab by cloning and `cd` into the directory. Then, `poetry` (see https://python-poetry.org) can be used to install: ``` poetry install ``` ### Install with graph visualization If graphing support is required, it is necessary to install [graphviz](https://www.graphviz.org/download/). #### Non M1 Mac instructions Ubuntu: ```shell script sudo apt install graphviz libgraphviz-dev pkg-config ``` Mac ([Homebrew](https://brew.sh/)): ```shell script brew install graphviz ``` Fedora: ```shell script sudo yum install graphviz ``` Once graphviz has been installed, then: ```shell script pip install ananke-causal[viz] # if pip is preferred poetry install --extras viz # if poetry is preferred ``` #### M1 Mac specific instructions If on M1 see this [issue](https://github.com/pygraphviz/pygraphviz/issues/398). The fix is to run the following before installing: ```shell script brew install graphviz python -m pip install \ --global-option=build_ext \ --global-option="-I$(brew --prefix graphviz)/include/" \ --global-option="-L$(brew --prefix graphviz)/lib/" \ pygraphviz ``` %package -n python3-ananke-causal Summary: Ananke, named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language of graphical models. Provides: python-ananke-causal BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-ananke-causal # Ananke Visit the [website](https://ananke.readthedocs.io) to find out more. [Ananke](https://en.wikipedia.org/wiki/Ananke), named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language of graphical models ## Contributors * Rohit Bhattacharya * Jaron Lee * Razieh Nabi * Preethi Prakash * Ranjani Srinivasan Interested contributors should check out the [CONTRIBUTING.md](CONTRIBUTING.md) for further details. ## Installation If graph visualization is not required then install via `pip`: ``` pip install ananke-causal ``` Alternatively, the package may be installed from gitlab by cloning and `cd` into the directory. Then, `poetry` (see https://python-poetry.org) can be used to install: ``` poetry install ``` ### Install with graph visualization If graphing support is required, it is necessary to install [graphviz](https://www.graphviz.org/download/). #### Non M1 Mac instructions Ubuntu: ```shell script sudo apt install graphviz libgraphviz-dev pkg-config ``` Mac ([Homebrew](https://brew.sh/)): ```shell script brew install graphviz ``` Fedora: ```shell script sudo yum install graphviz ``` Once graphviz has been installed, then: ```shell script pip install ananke-causal[viz] # if pip is preferred poetry install --extras viz # if poetry is preferred ``` #### M1 Mac specific instructions If on M1 see this [issue](https://github.com/pygraphviz/pygraphviz/issues/398). The fix is to run the following before installing: ```shell script brew install graphviz python -m pip install \ --global-option=build_ext \ --global-option="-I$(brew --prefix graphviz)/include/" \ --global-option="-L$(brew --prefix graphviz)/lib/" \ pygraphviz ``` %package help Summary: Development documents and examples for ananke-causal Provides: python3-ananke-causal-doc %description help # Ananke Visit the [website](https://ananke.readthedocs.io) to find out more. [Ananke](https://en.wikipedia.org/wiki/Ananke), named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language of graphical models ## Contributors * Rohit Bhattacharya * Jaron Lee * Razieh Nabi * Preethi Prakash * Ranjani Srinivasan Interested contributors should check out the [CONTRIBUTING.md](CONTRIBUTING.md) for further details. ## Installation If graph visualization is not required then install via `pip`: ``` pip install ananke-causal ``` Alternatively, the package may be installed from gitlab by cloning and `cd` into the directory. Then, `poetry` (see https://python-poetry.org) can be used to install: ``` poetry install ``` ### Install with graph visualization If graphing support is required, it is necessary to install [graphviz](https://www.graphviz.org/download/). #### Non M1 Mac instructions Ubuntu: ```shell script sudo apt install graphviz libgraphviz-dev pkg-config ``` Mac ([Homebrew](https://brew.sh/)): ```shell script brew install graphviz ``` Fedora: ```shell script sudo yum install graphviz ``` Once graphviz has been installed, then: ```shell script pip install ananke-causal[viz] # if pip is preferred poetry install --extras viz # if poetry is preferred ``` #### M1 Mac specific instructions If on M1 see this [issue](https://github.com/pygraphviz/pygraphviz/issues/398). The fix is to run the following before installing: ```shell script brew install graphviz python -m pip install \ --global-option=build_ext \ --global-option="-I$(brew --prefix graphviz)/include/" \ --global-option="-L$(brew --prefix graphviz)/lib/" \ pygraphviz ``` %prep %autosetup -n ananke_causal-0.3.3 %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-ananke-causal -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue Jun 20 2023 Python_Bot - 0.3.3-1 - Package Spec generated