path: root/python-ananke-causal.spec

%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 <Python_Bot@openeuler.org> - 0.3.3-1
- Package Spec generated