%global _empty_manifest_terminate_build 0
Name:		python-hrl-pybullet-envs
Version:	0.2.37
Release:	1
Summary:	Locomotion HRL envs in pybullet
License:	GNU General Public License v3 or later (GPLv3+)
URL:		https://github.com/sash-a/hrl_pybullet_envs
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/4d/f3/626d039f4e3e48f37e8215fb17976364a103b9a27ad0c3c1b1c841364d85/hrl_pybullet_envs-0.2.37.tar.gz
BuildArch:	noarch


%description
## Hierarchical Reinforcement envs in pybullet

This package was created because all of the HRL locomotion envs are only available in mujoco. This is an implementation of as many as possible in pybullet. 

### Install
`pip install pybullet hrl_pybullet_envs`  
This project requires [pybullet-gym](https://github.com/benelot/pybullet-gym/) which must be installed along side this package.


### Envs:
* AntGatherBulletEnv-v0
* AntMazeBulletEnv-v0
* AntMjBulletEnv-0
* AntFlagrunBulletEnv-v0
* PointGatherBulletEnv-v0

### Example
Also see [this notebook](https://colab.research.google.com/drive/17FX7UM1-DDb3oxg1ei64dw9Xa6JFE_zF?usp=sharing)
```
import hrl_pybullet_envs
import gym
import numpy as np

env = gym.make('AntGatherBulletEnv-v0')
env.render()
ob = env.reset()
tot_rew = 0

for i in range(1000):
  # Take random actions
  ob, rew, done, _ = env.step(np.random.uniform(-1, 1, env.action_space.shape))
  tot_rew += rew

  if done: break

print(f'Achieved total reward of: {tot_rew}')
```




%package -n python3-hrl-pybullet-envs
Summary:	Locomotion HRL envs in pybullet
Provides:	python-hrl-pybullet-envs
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-hrl-pybullet-envs
## Hierarchical Reinforcement envs in pybullet

This package was created because all of the HRL locomotion envs are only available in mujoco. This is an implementation of as many as possible in pybullet. 

### Install
`pip install pybullet hrl_pybullet_envs`  
This project requires [pybullet-gym](https://github.com/benelot/pybullet-gym/) which must be installed along side this package.


### Envs:
* AntGatherBulletEnv-v0
* AntMazeBulletEnv-v0
* AntMjBulletEnv-0
* AntFlagrunBulletEnv-v0
* PointGatherBulletEnv-v0

### Example
Also see [this notebook](https://colab.research.google.com/drive/17FX7UM1-DDb3oxg1ei64dw9Xa6JFE_zF?usp=sharing)
```
import hrl_pybullet_envs
import gym
import numpy as np

env = gym.make('AntGatherBulletEnv-v0')
env.render()
ob = env.reset()
tot_rew = 0

for i in range(1000):
  # Take random actions
  ob, rew, done, _ = env.step(np.random.uniform(-1, 1, env.action_space.shape))
  tot_rew += rew

  if done: break

print(f'Achieved total reward of: {tot_rew}')
```




%package help
Summary:	Development documents and examples for hrl-pybullet-envs
Provides:	python3-hrl-pybullet-envs-doc
%description help
## Hierarchical Reinforcement envs in pybullet

This package was created because all of the HRL locomotion envs are only available in mujoco. This is an implementation of as many as possible in pybullet. 

### Install
`pip install pybullet hrl_pybullet_envs`  
This project requires [pybullet-gym](https://github.com/benelot/pybullet-gym/) which must be installed along side this package.


### Envs:
* AntGatherBulletEnv-v0
* AntMazeBulletEnv-v0
* AntMjBulletEnv-0
* AntFlagrunBulletEnv-v0
* PointGatherBulletEnv-v0

### Example
Also see [this notebook](https://colab.research.google.com/drive/17FX7UM1-DDb3oxg1ei64dw9Xa6JFE_zF?usp=sharing)
```
import hrl_pybullet_envs
import gym
import numpy as np

env = gym.make('AntGatherBulletEnv-v0')
env.render()
ob = env.reset()
tot_rew = 0

for i in range(1000):
  # Take random actions
  ob, rew, done, _ = env.step(np.random.uniform(-1, 1, env.action_space.shape))
  tot_rew += rew

  if done: break

print(f'Achieved total reward of: {tot_rew}')
```




%prep
%autosetup -n hrl-pybullet-envs-0.2.37

%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-hrl-pybullet-envs -f filelist.lst
%dir %{python3_sitelib}/*

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

%changelog
* Wed May 17 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.37-1
- Package Spec generated