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docs/source/_static/version_switcher.json

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"url": "https://maniskill.readthedocs.io/en/latest/"
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},
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{
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"name": "3.0.0b11 (stable)",
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"version": "v3.0.0b11",
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"url": "https://maniskill.readthedocs.io/en/v3.0.0b11/",
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"preferred": true
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}
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{
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"name": "3.0.0b10",
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"version": "v3.0.0b10",
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"url": "https://maniskill.readthedocs.io/en/v3.0.0b10/",
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"name": "3.0.0b12 (stable)",
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"version": "v3.0.0b12",
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"url": "https://maniskill.readthedocs.io/en/v3.0.0b12/",
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"preferred": true
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}
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]

examples/baselines/tdmpc2/environment.yaml

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- tqdm==4.66.1
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- wandb==0.16.2
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- wheel==0.38.0
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- mani_skill>=3.0.0b11
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- mani_skill>=3.0.0b12
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####################
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# Gym:
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# (unmaintained but required for maniskill2/meta-world/myosuite)

mani_skill/__init__.py

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from .utils.logging_utils import logger
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__version__ = "3.0.0b11"
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__version__ = "3.0.0b12"
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# ---------------------------------------------------------------------------- #
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# Setup paths

setup.py

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from setuptools import find_packages, setup
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__version__ = "3.0.0b11"
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__version__ = "3.0.0b12"
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long_description = """ManiSkill is a powerful unified framework for robot simulation and training powered by [SAPIEN](https://sapien.ucsd.edu/), with a strong focus on manipulation skills. The entire tech stack is as open-source as possible and ManiSkill v3 is in beta release now. Among its features include:
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- GPU parallelized visual data collection system. On the high end you can collect RGBD + Segmentation data at 30,000+ FPS with a 4090 GPU, 10-1000x faster compared to most other simulators.

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