Merge remote-tracking branch 'origin/clean_api' into clean_api
# Conflicts: # alr_envs/alr/mujoco/reacher/__init__.py
This commit is contained in:
@@ -1,4 +1,4 @@
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from typing import Union
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from typing import Union, Tuple
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import numpy as np
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@@ -8,37 +8,21 @@ from alr_envs.mp.raw_interface_wrapper import RawInterfaceWrapper
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class MPWrapper(RawInterfaceWrapper):
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@property
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def context_mask(self) -> np.ndarray:
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def context_mask(self):
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return np.concatenate([
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[False] * self.n_links, # cos
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[False] * self.n_links, # sin
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[False] * self.env.n_links, # cos
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[False] * self.env.n_links, # sin
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[True] * 2, # goal position
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[False] * self.n_links, # angular velocity
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[False] * self.env.n_links, # angular velocity
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[False] * 3, # goal distance
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# self.get_body_com("target"), # only return target to make problem harder
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[False], # step
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])
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# @property
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# def active_obs(self):
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# return np.concatenate([
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# [True] * self.n_links, # cos, True
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# [True] * self.n_links, # sin, True
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# [True] * 2, # goal position
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# [True] * self.n_links, # angular velocity, True
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# [True] * 3, # goal distance
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# # self.get_body_com("target"), # only return target to make problem harder
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# [False], # step
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# ])
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@property
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def current_pos(self) -> Union[float, int, np.ndarray, Tuple]:
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return self.env.sim.data.qpos.flat[:self.env.n_links]
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@property
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def current_vel(self) -> Union[float, int, np.ndarray]:
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return self.sim.data.qvel.flat[:self.n_links]
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@property
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def current_pos(self) -> Union[float, int, np.ndarray]:
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return self.sim.data.qpos.flat[:self.n_links]
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@property
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def dt(self) -> Union[float, int]:
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return self.env.dt
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def current_vel(self) -> Union[float, int, np.ndarray, Tuple]:
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return self.env.sim.data.qvel.flat[:self.env.n_links]
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@@ -1,28 +0,0 @@
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from alr_envs.mp.black_box_wrapper import BlackBoxWrapper
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from typing import Union, Tuple
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import numpy as np
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from alr_envs.mp.raw_interface_wrapper import RawInterfaceWrapper
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class MPWrapper(RawInterfaceWrapper):
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@property
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def context_mask(self):
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return np.concatenate([
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[False] * self.env.n_links, # cos
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[False] * self.env.n_links, # sin
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[True] * 2, # goal position
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[False] * self.env.n_links, # angular velocity
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[False] * 3, # goal distance
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# self.get_body_com("target"), # only return target to make problem harder
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[False], # step
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])
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@property
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def current_pos(self) -> Union[float, int, np.ndarray, Tuple]:
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return self.env.sim.data.qpos.flat[:self.env.n_links]
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@property
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def current_vel(self) -> Union[float, int, np.ndarray, Tuple]:
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return self.env.sim.data.qvel.flat[:self.env.n_links]
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