Fixed precommit issues.

Author: miguelalonsojr

docs/Python-LLAPI-Documentation.md

@@ -634,7 +634,7 @@ class UnityEnvironment(BaseEnv)
 #### \_\_init\_\_
 
 ```python
- | __init__(file_name: Optional[str] = None, worker_id: int = 0, base_port: Optional[int] = None, seed: int = 0, no_graphics: bool = False, timeout_wait: int = 60, additional_args: Optional[List[str]] = None, side_channels: Optional[List[SideChannel]] = None, log_folder: Optional[str] = None, num_areas: int = 1)
+ | __init__(file_name: Optional[str] = None, worker_id: int = 0, base_port: Optional[int] = None, seed: int = 0, no_graphics: bool = False, no_graphics_monitor: bool = False, timeout_wait: int = 60, additional_args: Optional[List[str]] = None, side_channels: Optional[List[SideChannel]] = None, log_folder: Optional[str] = None, num_areas: int = 1)
 ```
 
 Starts a new unity environment and establishes a connection with the environment.
@@ -646,6 +646,7 @@ Ensure that the network where training takes place is secure.
 If no environment is specified (i.e. file_name is None), the DEFAULT_EDITOR_PORT will be used.
 :int worker_id: Offset from base_port. Used for training multiple environments simultaneously.
 :bool no_graphics: Whether to run the Unity simulator in no-graphics mode
+:bool no_graphics_monitor: Whether to run the main worker in graphics mode, with the remaining in no-graphics mode
 :int timeout_wait: Time (in seconds) to wait for connection from environment.
 :list args: Addition Unity command line arguments
 :list side_channels: Additional side channel for no-rl communication with Unity

ml-agents/mlagents/trainers/cli_utils.py

@@ -302,8 +302,8 @@ def _create_parser() -> argparse.ArgumentParser:
         default=False,
         action=DetectDefaultStoreTrue,
         help="Whether to run the main Unity worker in graphics mode with the remaining workers in no graphics mode"
-             "(i.e. without initializing the graphics driver. Use this only if your agents don't use visual "
-             "observations.",
+        "(i.e. without initializing the graphics driver. Use this only if your agents don't use visual "
+        "observations.",
     )
 
     torch_conf = argparser.add_argument_group(title="Torch Configuration")