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authorBenoît Allard2023-10-08 10:53:12 +0200
committerBenoît Allard2023-10-08 10:53:12 +0200
commitf6332ab64ae4fdf35a63e9c56d85d6eb9dcb245c (patch)
tree7f56b946bd4dd780d818d3260f90ce97211e3896
parent536914bebbc2b366f6a26d99371e05e7a5bc2a9a (diff)
downloadaur-python-stable-baselines3.tar.gz
2.1.0
-rw-r--r--.SRCINFO13
-rw-r--r--PKGBUILD20
2 files changed, 23 insertions, 10 deletions
diff --git a/.SRCINFO b/.SRCINFO
index c5390baac134..951d4e2aa541 100644
--- a/.SRCINFO
+++ b/.SRCINFO
@@ -1,23 +1,26 @@
pkgbase = python-stable-baselines3
pkgdesc = A set of reliable implementations of reinforcement learning algorithms in PyTorch
- pkgver = 1.5.0
+ pkgver = 2.1.0
pkgrel = 1
url = https://github.com/DLR-RM/stable-baselines3
arch = any
license = MIT
depends = python
- depends = python-gym
+ depends = python-gymnasium
depends = python-numpy
depends = python-pytorch
depends = python-cloudpickle
depends = python-pandas
depends = python-matplotlib
optdepends = python-opencv: For render
- optdepends = python-ale-py: For atari games
+ optdepends = python-pygame: For render
+ optdepends = python-shimmy: For atari games
optdepends = python-pillow: For atari games
optdepends = tensorboard: Tensorboard support
optdepends = python-psutil: Checking memory taken by replay buffer
- source = python-stable-baselines3-1.5.0.tar.gz::https://github.com/DLR-RM/stable-baselines3/archive/v1.5.0.tar.gz
- md5sums = 9ed6a2042ab0b7a7f216c1d62e0626d2
+ optdepends = python-tqdm: For progress bar callback
+ optdepends = python-rich: For progress bar callback
+ source = python-stable-baselines3-2.1.0.tar.gz::https://github.com/DLR-RM/stable-baselines3/archive/v2.1.0.tar.gz
+ sha256sums = 9d62ac964579194b89f0d876ee5dbd59589717c70531eb73a6ce62aa06caa6c5
pkgname = python-stable-baselines3
diff --git a/PKGBUILD b/PKGBUILD
index 6cb6b6cfc7b6..f85516d97aab 100644
--- a/PKGBUILD
+++ b/PKGBUILD
@@ -1,20 +1,29 @@
# Maintainer: Benoît Allard <benoit.allard@gmx.de>
pkgname=python-stable-baselines3
-pkgver=1.5.0
+pkgver=2.1.0
pkgrel=1
pkgdesc="A set of reliable implementations of reinforcement learning algorithms in PyTorch"
arch=('any')
url="https://github.com/DLR-RM/stable-baselines3"
license=('MIT')
-depends=("python" "python-gym" "python-numpy" "python-pytorch" "python-cloudpickle" "python-pandas" "python-matplotlib")
+depends=("python"
+ "python-gymnasium"
+ "python-numpy"
+ "python-pytorch"
+ "python-cloudpickle"
+ "python-pandas"
+ "python-matplotlib")
optdepends=('python-opencv: For render'
- 'python-ale-py: For atari games'
+ 'python-pygame: For render'
+ 'python-shimmy: For atari games'
'python-pillow: For atari games'
'tensorboard: Tensorboard support'
- 'python-psutil: Checking memory taken by replay buffer')
+ 'python-psutil: Checking memory taken by replay buffer'
+ 'python-tqdm: For progress bar callback'
+ 'python-rich: For progress bar callback')
_name=${pkgname#python-}
source=("$pkgname-$pkgver.tar.gz::https://github.com/DLR-RM/$_name/archive/v$pkgver.tar.gz")
-md5sums=('9ed6a2042ab0b7a7f216c1d62e0626d2')
+sha256sums=('9d62ac964579194b89f0d876ee5dbd59589717c70531eb73a6ce62aa06caa6c5')
build() {
cd $_name-$pkgver
@@ -26,3 +35,4 @@ package() {
cd $_name-$pkgver
python setup.py install --root="$pkgdir" --optimize=1 --skip-build
}
+