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Runtime error
Paulito Palmes, PhD
commited on
Commit
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f6d455c
1
Parent(s):
40035ea
init
Browse files- app.py +5 -10
- snake_environment.py +10 -15
app.py
CHANGED
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@@ -22,16 +22,11 @@ Usage:
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"""
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# Support both in-repo and standalone imports
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except ImportError:
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# Standalone imports (when environment is standalone with openenv-core from pip)
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from openenv_core.env_server.http_server import create_app
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from models import SnakeAction, SnakeObservation
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from server.snake_environment import SnakeEnvironment
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# Create the environment instance
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env = SnakeEnvironment()
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"""
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# Support both in-repo and standalone imports
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# In-repo imports (when running from OpenEnv repository)
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# Standalone imports (when environment is standalone with openenv-core from pip)
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from openenv_core.env_server.http_server import create_app
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from envs.snake_env import SnakeAction, SnakeObservation
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from snake_environment import SnakeEnvironment
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# Create the environment instance
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env = SnakeEnvironment()
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snake_environment.py
CHANGED
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@@ -19,18 +19,13 @@ import marlenv.envs # Register marlenv environments with gym
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import numpy as np
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# Support both in-repo and standalone imports
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from models import SnakeAction, SnakeObservation
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# Standalone imports (when environment is standalone with openenv-core from pip)
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from openenv_core.env_server.interfaces import Environment
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from openenv_core.env_server.types import State
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class SingleAgentWrapper(gym.Wrapper):
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@@ -44,15 +39,15 @@ class SingleAgentWrapper(gym.Wrapper):
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def __init__(self, env):
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super().__init__(env)
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# Unwrap observation and action spaces for single agent
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if hasattr(env.observation_space,
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self.observation_space = env.observation_space[0]
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if hasattr(env.action_space,
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self.action_space = env.action_space[0]
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def reset(self, **kwargs):
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obs = self.env.reset(**kwargs)
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# Remove first dimension if it's a multi-agent array (num_agents, H, W, C)
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if hasattr(obs,
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return obs[0] # Return (H, W, C)
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# Return first agent's observation if it's a list
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if isinstance(obs, list):
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@@ -65,7 +60,7 @@ class SingleAgentWrapper(gym.Wrapper):
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# Unwrap returns for single agent
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# Handle observation: remove first dimension if shape is (1, H, W, C)
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if hasattr(obs,
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obs = obs[0] # Convert (1, H, W, C) -> (H, W, C)
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elif isinstance(obs, list):
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obs = obs[0]
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import numpy as np
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# Support both in-repo and standalone imports
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# In-repo imports (when running from OpenEnv repository)
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from core.env_server.interfaces import Environment
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from core.env_server.types import State
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from envs.snake_env import SnakeAction, SnakeObservation
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# from openenv_core.env_server.interfaces import Environment
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# from openenv_core.env_server.types import State
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class SingleAgentWrapper(gym.Wrapper):
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def __init__(self, env):
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super().__init__(env)
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# Unwrap observation and action spaces for single agent
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if hasattr(env.observation_space, "__getitem__"):
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self.observation_space = env.observation_space[0]
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if hasattr(env.action_space, "__getitem__"):
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self.action_space = env.action_space[0]
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def reset(self, **kwargs):
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obs = self.env.reset(**kwargs)
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# Remove first dimension if it's a multi-agent array (num_agents, H, W, C)
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if hasattr(obs, "shape") and len(obs.shape) == 4 and obs.shape[0] == 1:
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return obs[0] # Return (H, W, C)
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# Return first agent's observation if it's a list
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if isinstance(obs, list):
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# Unwrap returns for single agent
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# Handle observation: remove first dimension if shape is (1, H, W, C)
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if hasattr(obs, "shape") and len(obs.shape) == 4 and obs.shape[0] == 1:
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obs = obs[0] # Convert (1, H, W, C) -> (H, W, C)
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elif isinstance(obs, list):
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obs = obs[0]
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