Fix ci (#127)

Author: pseudo-rnd-thoughts

.github/workflows/build-docs-dev.yaml

@@ -15,7 +15,7 @@ jobs:
 
       - uses: actions/setup-python@v5
         with:
-            python-version: '3.9'
+            python-version: '3.11'
 
       - name: Install dependencies for doc
         run: pip install -r docs/requirements.txt

.github/workflows/build-docs-version.yaml

@@ -16,7 +16,7 @@ jobs:
 
       - uses: actions/setup-python@v5
         with:
-            python-version: '3.9'
+            python-version: '3.11'
 
       - name: Get tag
         id: tag

.github/workflows/build-publish.yml

@@ -23,7 +23,7 @@ jobs:
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: '3.7'
+        python-version: '3.12'
     - name: Install dependencies
       run: python -m pip install --upgrade setuptools wheel build
     - name: Build wheels

.github/workflows/manual-build-docs-version.yaml

@@ -31,7 +31,7 @@ jobs:
 
       - uses: actions/setup-python@v5
         with:
-            python-version: '3.9'
+            python-version: '3.11'
 
       - name: Install dependencies for doc
         run: pip install -r docs/requirements.txt

.pre-commit-config.yaml

@@ -2,7 +2,7 @@
 # See https://pre-commit.com/hooks.html for more hooks
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.4.0
+    rev: v5.0.0
     hooks:
       - id: check-symlinks
       - id: destroyed-symlinks
@@ -20,17 +20,17 @@ repos:
       - id: mixed-line-ending
         args: [ "--fix=lf" ]
   - repo: https://github.com/python/black
-    rev: 23.3.0
+    rev: 24.10.0
     hooks:
       - id: black
   - repo: https://github.com/codespell-project/codespell
-    rev: v2.2.4
+    rev: v2.3.0
     hooks:
       - id: codespell
         args:
           - --ignore-words-list=reacher
   - repo: https://github.com/PyCQA/flake8
-    rev: 6.0.0
+    rev: 7.1.1
     hooks:
       - id: flake8
         args:
@@ -40,12 +40,12 @@ repos:
           - --show-source
           - --statistics
   - repo: https://github.com/PyCQA/isort
-    rev: 5.12.0
+    rev: 5.13.2
     hooks:
       - id: isort
         args: ["--profile", "black"]
   - repo: https://github.com/asottile/pyupgrade
-    rev: v3.3.2
+    rev: v3.19.1
     hooks:
       - id: pyupgrade
         args: ["--py38-plus"]

bin/dm_lab.Dockerfile

@@ -9,6 +9,8 @@ SHELL ["/bin/bash", "-o", "pipefail", "-c"]
 
 RUN pip install --upgrade pip
 
+RUN python --version
+
 # Install Shimmy requirements
 RUN apt-get -y update \
     && apt-get install --no-install-recommends -y \

setup.py

@@ -1,4 +1,5 @@
 """Setups up the Shimmy module."""
+
 from setuptools import find_packages, setup
 
 
@@ -33,8 +34,8 @@ def get_version():
 header_count, long_description = get_description()
 
 extras = {
-    "gym-v21": ["gym>=0.21.0,<0.26", "pyglet==1.5.11"],
-    "gym-v26": ["gym>=0.26.2"],
+    "gym-v21": ["gym>=0.21.0,<0.26", "pyglet==1.5.11", "numpy<2.0"],
+    "gym-v26": ["gym>=0.26.2", "numpy<2.0"],
     # "imageio" should be "gymnasium[mujoco]>=0.26" but there are install conflicts
     "dm-control": ["dm-control>=1.0.10", "imageio", "h5py>=3.7.0"],
     "dm-control-multi-agent": [
@@ -72,7 +73,7 @@ def get_version():
     keywords=["Reinforcement Learning", "game", "RL", "AI"],
     python_requires=">=3.8",
     packages=find_packages(),
-    install_requires=["numpy>=1.18.0", "gymnasium>=1.0.0a1"],
+    install_requires=["numpy>=1.18.0", "gymnasium>=1.0.0"],
     tests_require=extras["testing"],
     extras_require=extras,
     classifiers=[

shimmy/__init__.py

@@ -1,4 +1,5 @@
 """API for converting popular non-gymnasium environments to a gymnasium compatible environment."""
+
 from __future__ import annotations
 
 from typing import Any

shimmy/bsuite_compatibility.py

@@ -1,4 +1,5 @@
 """Wrapper to convert a BSuite environment into a gymnasium compatible environment."""
+
 from __future__ import annotations
 
 from typing import Any

shimmy/dm_control_compatibility.py

@@ -4,6 +4,7 @@
 https://github.com/ikostrikov/dmcgym/blob/main/dmcgym/env.py
 and modified to modern gymnasium API
 """
+
 from __future__ import annotations
 
 import math

shimmy/dm_control_multiagent_compatibility.py

@@ -1,4 +1,5 @@
 """Wrapper to convert a dm_env multiagent environment into a pettingzoo compatible environment."""
+
 from __future__ import annotations
 
 import functools
@@ -19,9 +20,7 @@
     from dm_control.locomotion import soccer as dm_soccer
 
 
-def _unravel_ma_timestep(
-    timestep: dm_env.TimeStep, agents: list[AgentID]
-) -> tuple[
+def _unravel_ma_timestep(timestep: dm_env.TimeStep, agents: list[AgentID]) -> tuple[
     dict[AgentID, Any],
     dict[AgentID, float],
     dict[AgentID, bool],
@@ -247,9 +246,7 @@ def reset(
 
         return observations, info
 
-    def step(
-        self, actions: ActionDict
-    ) -> tuple[
+    def step(self, actions: ActionDict) -> tuple[
         ObsDict,
         dict[AgentID, float],
         dict[AgentID, bool],

shimmy/dm_lab_compatibility.py

@@ -1,4 +1,5 @@
 """Wrapper to convert a DM Lab environment into a gymnasium compatible environment."""
+
 # pyright: reportOptionalMemberAccess=false
 from __future__ import annotations
 

shimmy/meltingpot_compatibility.py

@@ -4,6 +4,7 @@
 https://github.com/deepmind/meltingpot/blob/main/examples/pettingzoo/utils.py
 and modified to modern PettingZoo API
 """
+
 # pyright: reportOptionalSubscript=false
 from __future__ import annotations
 

shimmy/openai_gym_compatibility.py

@@ -1,4 +1,5 @@
 """Compatibility wrappers for OpenAI gym V21 and V26."""
+
 # pyright: reportGeneralTypeIssues=false, reportPrivateImportUsage=false
 from __future__ import annotations
 

shimmy/openspiel_compatibility.py

@@ -326,7 +326,7 @@ def _choose_next_agent(self):
                         return
                     else:
                         # ignore agents where there are no valid actions
-                        # this will raise assertations with PZ api
+                        # this will raise assertions with PZ api
                         self.simultaneous_actions[agent] = None
             return
 

shimmy/utils/dm_control_multiagent.py

@@ -1,4 +1,5 @@
 """Utility functions for DM Control Multi-Agent."""
+
 from __future__ import annotations
 
 from typing import TYPE_CHECKING
@@ -35,13 +36,13 @@ def load_dm_control_soccer(
     env = dm_soccer.load(
         team_size=team_size if team_size is not None else 2,
         time_limit=time_limit if time_limit is not None else 10.0,
-        disable_walker_contacts=disable_walker_contacts
-        if disable_walker_contacts is not None
-        else False,
+        disable_walker_contacts=(
+            disable_walker_contacts if disable_walker_contacts is not None else False
+        ),
         enable_field_box=enable_field_box if enable_field_box is not None else True,
         terminate_on_goal=terminate_on_goal if terminate_on_goal is not None else False,
-        walker_type=walker_type
-        if walker_type is not None
-        else dm_soccer.WalkerType.BOXHEAD,
+        walker_type=(
+            walker_type if walker_type is not None else dm_soccer.WalkerType.BOXHEAD
+        ),
     )
     return env

shimmy/utils/dm_env.py

@@ -1,4 +1,5 @@
 """Utility functions for the compatibility wrappers."""
+
 from __future__ import annotations
 
 import copy

shimmy/utils/dm_lab.py

@@ -1,4 +1,5 @@
 """Utility functions for the compatibility wrappers."""
+
 from __future__ import annotations
 
 from collections import OrderedDict

shimmy/utils/meltingpot.py

@@ -1,4 +1,5 @@
 """Utility functions for Melting Pot."""
+
 # pyright: reportGeneralTypeIssues=false
 # flake8: noqa F821
 import dm_env

tests/test_bsuite.py

@@ -1,4 +1,5 @@
 """Tests the functionality of the BSuiteCompatibilityV0 on bsuite envs."""
+
 import pickle
 import warnings
 

tests/test_dm_control.py

@@ -1,4 +1,5 @@
 """Tests the functionality of the DmControlCompatibility Wrapper on dm_control envs."""
+
 import pickle
 import warnings
 from typing import Callable
@@ -37,37 +38,17 @@ def test_dm_control_suite_envs():
     assert dm_control.suite.ALL_TASKS == DM_CONTROL_SUITE_ENVS
 
 
-# todo - gymnasium v27 should remove the need for some of these warnings
 CHECK_ENV_IGNORE_WARNINGS = [
     f"\x1b[33mWARN: {message}\x1b[0m"
     for message in [
         "A Box observation space minimum value is -infinity. This is probably too low.",
         "A Box observation space maximum value is infinity. This is probably too high.",
         "For Box action spaces, we recommend using a symmetric and normalized space (range=[-1, 1] or [0, 1]). See https://stable-baselines3.readthedocs.io/en/master/guide/rl_tips.html for more information.",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: ()",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (8, 2)",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (2, 4)",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (4, 4)",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (1, 3)",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (1, 84, 84, 3)",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (1, 2)",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (1, 6)",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (1, 4)",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (1, 9)",
-        "A Box observation space has an unconventional shape (neither an image, nor a 1D vector). We recommend flattening the observation to have only a 1D vector or use a custom policy to properly process the data. Actual observation shape: (1, 5)",
-        "It seems a Box observation space is an image but the `dtype` is not `np.uint8`, actual type: float64. If the Box observation space is not an image, we recommend flattening the observation to have only a 1D vector.",
-        "It seems a Box observation space is an image but the upper and lower bounds are not in [0, 255]. Generally, CNN policies assume observations are within that range, so you may encounter an issue if the observation values are not.",
-        "arrays to stack must be passed as a 'sequence' type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.",
         "Calling `env.close()` on the closed environment should be allowed, but it raised an exception: _data",
         "Calling `env.close()` on the closed environment should be allowed, but it raised an exception: 'Physics' object has no attribute '_data'",
     ]
 ]
-CHECK_ENV_IGNORE_WARNINGS.append(
-    'arrays to stack must be passed as a "sequence" type such as list or tuple. Support for non-sequence iterables such as generators is deprecated as of NumPy 1.16 and will raise an error in the future.',
-)
-CHECK_ENV_IGNORE_WARNINGS.append(
-    "Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)"
-)
+CHECK_ENV_IGNORE_WARNINGS.append("`in1d` is deprecated. Use `np.isin` instead.")
 
 
 @pytest.mark.parametrize("env_id", DM_CONTROL_ENV_IDS)

tests/test_dm_control_multi_agent.py

@@ -1,4 +1,5 @@
 """Tests the multi-agent dm-control soccer environment."""
+
 import pickle
 
 import pytest

tests/test_dm_lab.py

@@ -1,4 +1,5 @@
 """Tests the multi-agent dm-control soccer environment."""
+
 # pyright: reportUndefinedVariable=false
 # flake8: noqa F821
 import pickle

tests/test_meltingpot.py

@@ -1,4 +1,5 @@
 """Tests the functionality of the MeltingPotCompatibility wrapper on meltingpot substrates."""
+
 # pyright: reportUndefinedVariable=false
 # flake8: noqa F821 E402
 # isort: skip_file

tests/test_openspiel.py

@@ -1,4 +1,5 @@
 """Tests the functionality of the OpenSpielCompatibility wrapper on OpenSpiel envs."""
+
 # pyright: reportGeneralTypeIssues=false
 import pickle