Fix: Forgot 'fi' to end if clause in bash snippet

.github/workflows/ensure-release-tagged.yaml

@@ -1,26 +0,0 @@
-name: Ensure Tagged Commits on Release
-
-on:
-  pull_request:
-    branches:
-      - release
-
-jobs:
-  check_tag:
-    runs-on: ubuntu-latest
-    steps:
-    - name: Check out code
-      uses: actions/checkout@v4
-      with:
-        fetch-depth: 0
-
-    - name: Check if base commit of PR is tagged
-      run: |
-        BASE_COMMIT=$(jq -r .pull_request.base.sha < "$GITHUB_EVENT_PATH")
-        TAG=$(git tag --contains $BASE_COMMIT)
-        if [ -z "$TAG" ]; then
-          echo "Base commit of PR is not tagged. PRs onto release must be tagged with the version number."
-          exit 1
-        fi
-        echo "Base commit of PR is tagged. Check passed."
-

.github/workflows/ensure-version-consistency.yaml

@@ -0,0 +1,52 @@
+name: Ensure Version Consistency on PR to Release
+
+on:
+  pull_request:
+    branches:
+      - release
+
+jobs:
+  check_version_and_tag:
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: true  # Terminate the job immediately if any step fails
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v4
+        with:
+          fetch-depth: 0 # Necessary to fetch all tags for comparison
+
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: '3.x'
+
+      - name: Install dependencies
+        run: |
+          python -m pip install toml
+
+      - name: Extract version from pyproject.toml
+        run: |
+          echo "Extracting version from pyproject.toml"
+          VERSION=$(python -c 'import toml; print(toml.load("pyproject.toml")["project"]["version"])')
+          echo "Version in pyproject.toml is $VERSION"
+          echo "VERSION=$VERSION" >> $GITHUB_ENV
+
+      - name: Get tag for the PR's head commit
+        run: |
+          PR_HEAD_SHA=$(jq -r .pull_request.head.sha < "$GITHUB_EVENT_PATH")
+          TAG=$(git tag --contains $PR_HEAD_SHA)
+          echo "Tag on PR's head commit is $TAG"
+          echo "TAG=$TAG" >> $GITHUB_ENV
+
+      - name: Compare version and tag
+        run: |
+          if [ -z "$TAG" ]; then
+            echo "Head commit of PR is not tagged. Ensure the head commit of PRs onto release is tagged with the version number."
+            exit 1
+          elif [ "$VERSION" != "$TAG" ]; then
+            echo "Version in pyproject.toml ($VERSION) does not match the git tag ($TAG)."
+            exit 1
+          else
+            echo "Version and git tag match. Check passed."
+          fi

.github/workflows/publish-to-pypi.yml

@@ -8,6 +8,8 @@ on:
 jobs:
   publish:
     name: Publish to PyPI
+    strategy:
+      fail-fast: true  # Terminate the job immediately if any step fails
     runs-on: ubuntu-latest
     steps:
     - name: Check out code
@@ -15,19 +17,24 @@ jobs:
       with:
         fetch-depth: 0  # This fetches all history for all branches and tags
 
-    - name: Check if commit is tagged
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: "3.x"
+
+    - name: Validate version against tag
       run: |
+        VERSION=$(python -c 'import toml; print(toml.load("pyproject.toml")["project"]["version"])')
         TAG=$(git tag --contains HEAD)
         if [ -z "$TAG" ]; then
           echo "Commit is not tagged. Failing the workflow."
           exit 1
         fi
-        echo "Commit is tagged. Proceeding with the workflow."
-
-    - name: Set up Python
-      uses: actions/setup-python@v4
-      with:
-        python-version: "3.x"
+        if [ "$VERSION" != "$TAG" ]; then
+          echo "Version in pyproject.toml ($VERSION) does not match the git tag ($TAG). Failing the workflow."
+          exit 1
+        fi
+        echo "Version and commit tag match. Proceeding with the workflow."
 
     - name: Install pypa/build/setuptools/twine
       run: >-
@@ -36,9 +43,6 @@ jobs:
         build setuptools twine
         --user
 
-    - name: Prevent fallback onto setup.py
-      run: rm setup.py
-
     - name: Build a binary wheel and a source tarball
       run: python3 -m build
 

README.md

@@ -10,25 +10,25 @@ Built upon the foundation of [Gymnasium](https://gymnasium.farama.org) (a mainta
 
 **Key Features**:
 
-- **New Challenging Environments**: `fancy_gym` includes several new environments ([Panda Box Pushing](https://alrhub.github.io/fancy_gym/envs/fancy/mujoco.html#box-pushing), [Table Tennis](https://alrhub.github.io/fancy_gym/envs/fancy/mujoco.html#table-tennis), [etc.](https://alrhub.github.io/fancy_gym/envs/fancy/index.html)) that present a higher degree of difficulty, pushing the boundaries of reinforcement learning research.
+- **New Challenging Environments**: `fancy_gym` includes several new environments ([Panda Box Pushing](https://dominik-roth.eu/fancy/envs/fancy/mujoco.html#box-pushing), [Table Tennis](https://dominik-roth.eu/fancy/envs/fancy/mujoco.html#table-tennis), [etc.](https://dominik-roth.eu/fancy/envs/fancy/index.html)) that present a higher degree of difficulty, pushing the boundaries of reinforcement learning research.
 - **Support for Movement Primitives**: `fancy_gym` supports a range of movement primitives (MPs), including Dynamic Movement Primitives (DMPs), Probabilistic Movement Primitives (ProMP), and Probabilistic Dynamic Movement Primitives (ProDMP).
 - **Upgrade to Movement Primitives**: With our framework, it’s straightforward to transform standard Gymnasium environments into environments that support movement primitives.
-- **Benchmark Suite Compatibility**: `fancy_gym` makes it easy to access renowned benchmark suites such as [DeepMind Control](https://alrhub.github.io/fancy_gym/envs/dmc.html)
-  and [Metaworld](https://alrhub.github.io/fancy_gym/envs/meta.html), whether you want to use them in the regular step-based setting or using MPs.
-- **Contribute Your Own Environments**: If you’re inspired to create custom gym environments, both step-based and with movement primitives, this [guide](https://alrhub.github.io/fancy_gym/guide/upgrading_envs.html) will assist you. We encourage and highly appreciate submissions via PRs to integrate these environments into `fancy_gym`.
+- **Benchmark Suite Compatibility**: `fancy_gym` makes it easy to access renowned benchmark suites such as [DeepMind Control](dominik-roth.eu/fancy/envs/dmc.html)
+  and [Metaworld](https://dominik-roth.eu/fancy/envs/meta.html), whether you want to use them in the regular step-based setting or using MPs.
+- **Contribute Your Own Environments**: If you’re inspired to create custom gym environments, both step-based and with movement primitives, this [guide](https://dominik-roth.eu/fancy/guide/upgrading_envs.html) will assist you. We encourage and highly appreciate submissions via PRs to integrate these environments into `fancy_gym`.
 
 ## Quickstart Guide
 
 | ⚠ We recommend installing `fancy_gym` into a virtual environment as provided by [venv](https://docs.python.org/3/library/venv.html), [Poetry](https://python-poetry.org/) or [Conda](https://docs.conda.io/en/latest/). |
 | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
 
-Install via pip [or use an alternative installation method](https://alrhub.github.io/fancy_gym/guide/installation.html)
+Install via pip [or use an alternative installation method](https://dominik-roth.eu/fancy/guide/installation.html)
 
 ```bash
     pip install 'fancy_gym[all]'
 ```
 
-Try out one of our step-based environments [or explore our other envs](https://alrhub.github.io/fancy_gym/envs/fancy/index.html)
+Try out one of our step-based environments [or explore our other envs](https://dominik-roth.eu/fancy/envs/fancy/index.html)
 
 ```python
    import gymnasium as gym
@@ -48,7 +48,7 @@ Try out one of our step-based environments [or explore our other envs](https://a
             observation, info = env.reset()
 ```
 
-Explore the MP-based variant [or learn more about Movement Primitives (MPs)](https://alrhub.github.io/fancy_gym/guide/episodic_rl.html)
+Explore the MP-based variant [or learn more about Movement Primitives (MPs)](https://dominik-roth.eu/fancy/guide/episodic_rl.html)
 
 ```python
    import gymnasium as gym
@@ -66,7 +66,7 @@ Explore the MP-based variant [or learn more about Movement Primitives (MPs)](htt
 
 ## Documentation
 
-Documentation for `fancy_gym` can be found [here](https://alrhub.github.io/fancy_gym/); Usage Examples can be found [here](https://alrhub.github.io/fancy_gym/examples/general.html).
+Documentation for `fancy_gym` can be found [here](https://dominik-roth.eu/fancy); Usage Examples can be found [here](https://dominik-roth.eu/fancy/examples/general.html).
 
 ## Citing the Project
 

docs/source/conf.py

@@ -1,13 +1,17 @@
 # This conf.py is in large parts inspired by the oen used by stable-baselines 3
 
+import toml
 import datetime
 
 project = 'Fancy Gym'
 author = 'Fabian Otto, Onur Celik, Dominik Roth, Hongyi Zhou'
 copyright = f'2020-{datetime.date.today().year}, {author}'
 
-release = '0.2'  # The full version, including alpha/beta/rc tags
-version = '0.2'  # The short X.Y version
+pyproject_content = toml.load("../../pyproject.toml")
+proj_version = pyproject_content["project"]["version"]
+
+release = proj_version  # The full version, including alpha/beta/rc tags
+version = proj_version  # The short X.Y version
 
 extensions = [
     'myst_parser',
@@ -50,4 +54,4 @@ html_context = {
 }
 
 def setup(app):
-    app.add_css_file("style.css")
+    app.add_css_file("style.css")

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "fancy_gym"
-version = "0.1.4"
+version = "0.3.0"
 description = "Fancy Gym: Unifying interface for various RL benchmarks with support for Black Box approaches."
 readme = "README.md"
 authors = [
@@ -26,6 +26,7 @@ classifiers = [
 ]
 
 dependencies = [
+    "toml",
     "mp_pytorch<=0.1.3",
     "mujoco==2.3.3",
     "gymnasium[mujoco]>=0.26.0"

setup.py

@@ -1,5 +1,6 @@
 # We still provide a setup.py for backwards compatability.
 # But the pyproject.toml should be prefered.
+import toml
 import itertools
 from pathlib import Path
 from typing import List
@@ -8,6 +9,9 @@ from setuptools import setup, find_packages
 
 print('[!] You are currently installing/building fancy_gym via setup.py. This is only provided for backwards-compatability. Please use the pyproject.toml instead.')
 
+pyproject_content = toml.load("pyproject.toml")
+project_version = pyproject_content["project"]["version"]
+
 # Environment-specific dependencies for dmc and metaworld
 extras = {
     'dmc': ['shimmy[dm-control]', 'Shimmy==1.0.0'],
@@ -38,7 +42,7 @@ def find_package_data(extensions_to_include: List[str]) -> List[str]:
 setup(
     author='Fabian Otto, Onur Celik, Dominik Roth, Hongyi Zhou',
     name='fancy_gym',
-    version='0.1.0',
+    version=project_version,
     classifiers=[
         'Development Status :: 4 - Beta',
         'Intended Audience :: Science/Research',
@@ -55,6 +59,7 @@ setup(
     ],
     extras_require=extras,
     install_requires=[
+        'toml',
         'mp_pytorch<=0.1.3',
         'mujoco==2.3.3',
         'gymnasium[mujoco]>=0.26.0'