%global _empty_manifest_terminate_build 0
Name:		python-liknorm
Version:	1.2.10
Release:	1
Summary:	Liknorm Python wrapper
License:	MIT
URL:		https://github.com/limix/liknorm-py
Source0:	https://mirrors.aliyun.com/pypi/web/packages/8c/ef/36617aa24e72591e59611b72b0f9f6ae2c5d368ab6a4ae7fa0760ef9ffb7/liknorm-1.2.10.tar.gz

Requires:	python3-cffi
Requires:	python3-pytest
Requires:	python3-urllib3

%description
# liknorm-py

Liknorm Python wrapper.

## Install

It can be done via [pip](https://pypi.org/) or [conda](https://conda.io/).

### Pip

```bash
pip install liknorm
```

### Conda

```bash
conda install -c conda-forge liknorm-py
```

## Running the tests

After installation, you can test it

```bash
python -c "import liknorm; liknorm.test()"
```

as long as you have [pytest](http://docs.pytest.org/en/latest/).

## Example

```python
>>> from numpy import empty
>>> from numpy.random import RandomState
>>> from liknorm import LikNormMachine
>>>
>>> machine = LikNormMachine('bernoulli')
>>> random = RandomState(0)
>>> outcome = random.randint(0, 2, 5)
>>> tau = random.rand(5)
>>> eta = random.randn(5) * tau
>>>
>>> log_zeroth = empty(5)
>>> mean = empty(5)
>>> variance = empty(5)
>>>
>>> moments = {'log_zeroth': log_zeroth, 'mean': mean, 'variance': variance}
>>> machine.moments(outcome, eta, tau, moments)
>>>
>>> print('%.3f %.3f %.3f' % (log_zeroth[0], mean[0], variance[0]))
-0.671 -0.515 0.946
```

## Authors

* [Danilo Horta](https://github.com/horta)

## License

This project is licensed under the
[MIT License](https://raw.githubusercontent.com/limix/liknorm-py/master/LICENSE.md).



%package -n python3-liknorm
Summary:	Liknorm Python wrapper
Provides:	python-liknorm
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
BuildRequires:	python3-cffi
BuildRequires:	gcc
BuildRequires:	gdb
%description -n python3-liknorm
# liknorm-py

Liknorm Python wrapper.

## Install

It can be done via [pip](https://pypi.org/) or [conda](https://conda.io/).

### Pip

```bash
pip install liknorm
```

### Conda

```bash
conda install -c conda-forge liknorm-py
```

## Running the tests

After installation, you can test it

```bash
python -c "import liknorm; liknorm.test()"
```

as long as you have [pytest](http://docs.pytest.org/en/latest/).

## Example

```python
>>> from numpy import empty
>>> from numpy.random import RandomState
>>> from liknorm import LikNormMachine
>>>
>>> machine = LikNormMachine('bernoulli')
>>> random = RandomState(0)
>>> outcome = random.randint(0, 2, 5)
>>> tau = random.rand(5)
>>> eta = random.randn(5) * tau
>>>
>>> log_zeroth = empty(5)
>>> mean = empty(5)
>>> variance = empty(5)
>>>
>>> moments = {'log_zeroth': log_zeroth, 'mean': mean, 'variance': variance}
>>> machine.moments(outcome, eta, tau, moments)
>>>
>>> print('%.3f %.3f %.3f' % (log_zeroth[0], mean[0], variance[0]))
-0.671 -0.515 0.946
```

## Authors

* [Danilo Horta](https://github.com/horta)

## License

This project is licensed under the
[MIT License](https://raw.githubusercontent.com/limix/liknorm-py/master/LICENSE.md).



%package help
Summary:	Development documents and examples for liknorm
Provides:	python3-liknorm-doc
%description help
# liknorm-py

Liknorm Python wrapper.

## Install

It can be done via [pip](https://pypi.org/) or [conda](https://conda.io/).

### Pip

```bash
pip install liknorm
```

### Conda

```bash
conda install -c conda-forge liknorm-py
```

## Running the tests

After installation, you can test it

```bash
python -c "import liknorm; liknorm.test()"
```

as long as you have [pytest](http://docs.pytest.org/en/latest/).

## Example

```python
>>> from numpy import empty
>>> from numpy.random import RandomState
>>> from liknorm import LikNormMachine
>>>
>>> machine = LikNormMachine('bernoulli')
>>> random = RandomState(0)
>>> outcome = random.randint(0, 2, 5)
>>> tau = random.rand(5)
>>> eta = random.randn(5) * tau
>>>
>>> log_zeroth = empty(5)
>>> mean = empty(5)
>>> variance = empty(5)
>>>
>>> moments = {'log_zeroth': log_zeroth, 'mean': mean, 'variance': variance}
>>> machine.moments(outcome, eta, tau, moments)
>>>
>>> print('%.3f %.3f %.3f' % (log_zeroth[0], mean[0], variance[0]))
-0.671 -0.515 0.946
```

## Authors

* [Danilo Horta](https://github.com/horta)

## License

This project is licensed under the
[MIT License](https://raw.githubusercontent.com/limix/liknorm-py/master/LICENSE.md).



%prep
%autosetup -n liknorm-1.2.10

%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-liknorm -f filelist.lst
%dir %{python3_sitearch}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.10-1
- Package Spec generated