add Dlabel script

tests/envs/dummy_hub_env.py

@@ -0,0 +1,55 @@
+# env.py - Upload this to your Hub repository
+# Example: huggingface.co/your-username/test-kwargs-env
+
+import gymnasium as gym
+from gymnasium.vector import SyncVectorEnv
+
+
+def make_env(
+    n_envs=1,
+    use_async_envs=False,
+    config_path=None,
+    config_overrides=None,
+    **kwargs,
+):
+    """
+    Create vectorized CartPole environments with configurable options.
+
+    Args:
+        n_envs: Number of parallel environments
+        use_async_envs: Whether to use AsyncVectorEnv or SyncVectorEnv
+        config_path: Optional path to a config file (for demonstration)
+        config_overrides: Optional dict of config overrides
+        **kwargs: Additional configuration options
+
+    Returns:
+        dict mapping suite name to task environments
+    """
+    # Merge all config sources for demonstration
+    config = {}
+    if config_overrides:
+        config.update(config_overrides)
+    config.update(kwargs)
+
+    # Store config in a way the test can verify
+    # In a real env, you'd use these to configure the simulation
+    stored_config = {
+        "config_path": config_path,
+        "config_overrides": config_overrides,
+        "extra_kwargs": kwargs,
+    }
+
+    def _mk():
+        env = gym.make("CartPole-v1")
+        # Attach config to env for test verification
+        env.hub_config = stored_config
+        return env
+
+    Vec = gym.vector.AsyncVectorEnv if use_async_envs else SyncVectorEnv
+    vec_env = Vec([_mk for _ in range(n_envs)])
+
+    # Also attach to vector env for easy access in tests
+    vec_env.hub_config = stored_config
+
+    return {"cartpole_suite": {0: vec_env}}
+