Merge pull request #117 from sony/feature/20240311-end-python37-support

Remove python 3.7 support and add 3.10 support

.github/workflows/build.yml

@@ -79,7 +79,7 @@ jobs:
     if: github.event.pull_request.draft == false
     strategy:
       matrix:
-        python-version: [3.7, 3.8, 3.9]
+        python-version: ['3.8', '3.9', '3.10']
     steps:
       - uses: actions/checkout@v2
       - name: Set up Python ${{ matrix.python-version }}

README.md

@@ -16,7 +16,7 @@ Installing nnablaRL is easy!
 $ pip install nnabla-rl
 ```
 
-nnablaRL only supports Python version >= 3.7 and [nnabla](https://github.com/sony/nnabla) version >= 1.17.
+nnablaRL only supports Python version >= 3.8 and [nnabla](https://github.com/sony/nnabla) version >= 1.17.
 
 ### Enabling GPU accelaration (Optional)
 

nnabla_rl/environments/wrappers/hybrid_env.py

@@ -1,4 +1,4 @@
-# Copyright 2023 Sony Group Corporation.
+# Copyright 2023,2024 Sony Group Corporation.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import cast
+from typing import SupportsIndex, cast
 
 import gym
 import gym.spaces
@@ -46,8 +46,9 @@ def __init__(self, env: Env):
         self._original_observation_space = env.observation_space
 
         if self._is_box(env.observation_space):
-            self.observation_space = gym.spaces.Box(low=-np.ones(shape=env.observation_space.shape),
-                                                    high=np.ones(shape=env.observation_space.shape),
+            observation_shape = cast(SupportsIndex, env.observation_space.shape)
+            self.observation_space = gym.spaces.Box(low=-np.ones(shape=observation_shape),
+                                                    high=np.ones(shape=observation_shape),
                                                     dtype=np.float32)
         elif self._is_tuple(env.observation_space):
             spaces = [gym.spaces.Box(low=-np.ones(shape=space.shape),
@@ -85,8 +86,9 @@ def __init__(self, env: Env):
         self._original_action_space = env.action_space
 
         if self._is_box(env.action_space):
-            self.action_space = gym.spaces.Box(low=-np.ones(shape=env.action_space.shape),
-                                               high=np.ones(shape=env.action_space.shape),
+            action_shape = cast(SupportsIndex, env.action_space.shape)
+            self.action_space = gym.spaces.Box(low=-np.ones(shape=action_shape),
+                                               high=np.ones(shape=action_shape),
                                                dtype=np.float32)
         elif self._is_tuple(env.action_space):
             spaces = [gym.spaces.Box(low=-np.ones(shape=space.shape),

setup.cfg

@@ -1,5 +1,5 @@
 # Copyright 2020,2021 Sony Corporation.
-# Copyright 2021,2022,2023 Sony Group Corporation.
+# Copyright 2021,2022,2023,2024 Sony Group Corporation.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -29,12 +29,12 @@ classifiers =
     Topic :: Scientific/Engineering :: Artificial Intelligence
     License :: OSI Approved :: Apache Software License
     Programming Language :: Python :: 3
-    Programming Language :: Python :: 3.7
     Programming Language :: Python :: 3.8
     Programming Language :: Python :: 3.9
+    Programming Language :: Python :: 3.10
     Operating System :: POSIX :: Linux
 keywords = deep learning artificial intelligence machine learning neural network
-python_requires = >=3.7
+python_requires = >=3.8
 
 [options]
 packages = find:
@@ -87,7 +87,7 @@ skip_glob=external
 
 [mypy]
 # See https://mypy.readthedocs.io/en/stable/config_file.html for detail description of each configuration
-python_version = 3.7
+python_version = 3.8
 ignore_missing_imports = True
 no_implicit_optional = True
 warn_unused_configs = True