From eeb592b8a82cefd32b790c5772866ffe365e7966 Mon Sep 17 00:00:00 2001 From: Brandon Trabucco Date: Fri, 22 Oct 2021 12:06:46 -0700 Subject: [PATCH] update version --- README.md | 4 ++-- setup.py | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index 008a29b..4c053c2 100644 --- a/README.md +++ b/README.md @@ -16,14 +16,14 @@ Design-Bench can be installed with the complete set of benchmarks via our pip pa ```bash conda install rdkit -c conda-forge -pip install design-bench[all]==2.0.19 +pip install design-bench[all]==2.0.20 pip install morphing-agents==1.5.1 ``` Alternatively, if you do not have MuJoCo, you may opt for a minimal install. ```bash -pip install design-bench==2.0.19 +pip install design-bench==2.0.20 ``` ## Available Tasks diff --git a/setup.py b/setup.py index c110963..7767add 100644 --- a/setup.py +++ b/setup.py @@ -7,7 +7,7 @@ LONG_DESCRIPTION = readme.read() -setup(name='design-bench', version='2.0.19', license='MIT', +setup(name='design-bench', version='2.0.20', license='MIT', packages=find_packages(include=['design_bench', 'design_bench.*']), description='Design-Bench: Benchmarks for ' 'Data-Driven Offline Model-Based Optimization', @@ -17,7 +17,7 @@ author_email='brandon@btrabucco.com', url='https://github.com/brandontrabucco/design-bench', download_url='https://github.com/' - 'brandontrabucco/design-bench/archive/v2_0_19.tar.gz', + 'brandontrabucco/design-bench/archive/v2_0_20.tar.gz', keywords=['Deep Learning', 'Neural Networks', 'Benchmark', 'Model-Based Optimization'], extras_require={'all': ['gym[mujoco]'], 'cma': ['cma']},