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        "description": "# The [MineRL](http://minerl.io) Python Package  \n\n[![Build Status](https://travis-ci.com/minerllabs/minerl.svg?branch=master)](https://travis-ci.com/minerllabs/minerl)\n[![Downloads](https://pepy.tech/badge/minerl)](https://pepy.tech/project/minerl)\n[![PyPI version](https://badge.fury.io/py/minerl.svg)](https://badge.fury.io/py/minerl)\n[![\"Open Issues\"](https://img.shields.io/github/issues-raw/minerllabs/minerl.svg)](https://github.com/minerllabs/minerl/issues)\n[![GitHub issues by-label](https://img.shields.io/github/issues/minerllabs/minerl/bug.svg?color=red)](https://github.com/minerllabs/minerl/issues?utf8=%E2%9C%93&q=is%3Aissue+is%3Aopen+label%3Abug)\n[![Discord](https://img.shields.io/discord/565639094860775436.svg?label=&logo=discord&logoColor=ffffff&color=7389D8&labelColor=6A7EC2)](https://discord.gg/BT9uegr)\n\n[![Support us on patron](https://img.shields.io/endpoint.svg?url=https%3A%2F%2Fshieldsio-patreon.herokuapp.com%2Fwguss_imushroom&style=for-the-badge)](https://www.patreon.com/wguss_imushroom)\n\nPython package providing easy to use gym environments and a simple data api for the MineRLv0 dataset. \n\n**To [get started please read the docs here](http://minerl.io/docs/)!**\n\n**We develop `minerl` in our spare time, [please consider supporting us on Patreon <3](https://www.patreon.com/wguss_imushroom)**\n\n![](http://www.minerl.io/docs/_images/demo.gif)\n## Installation\n\nWith JDK-8 installed run this command\n```\npip3 install --upgrade minerl\n```\n\n## Basic Usage\n\nRunning an environment:\n```python\nimport minerl\nimport gym\nenv = gym.make('MineRLNavigateDense-v0')\n\n\nobs = env.reset()\n\ndone = False\nwhile not done:\n    action = env.action_space.sample() \n \n    # One can also take a no_op action with\n    # action =env.action_space.noop()\n    \n \n    obs, reward, done, info = env.step(\n        action)\n\n```\n\nSampling the dataset:\n\n```python\nimport minerl\n\n# YOU ONLY NEED TO DO THIS ONCE!\nminerl.data.download('/your/local/path')\n\ndata = minerl.data.make(\n    'MineRLObtainDiamond-v0',\n    data_dir='/your/local/path')\n\n# Iterate through a single epoch gathering sequences of at most 32 steps\nfor current_state, action, reward, next_state, done \\\n    in data.sarsd_iter(\n        num_epochs=1, max_sequence_len=32):\n\n        # Print the POV @ the first step of the sequence\n        print(current_state['pov'][0])\n\n        # Print the final reward pf the sequence!\n        print(reward[-1])\n\n        # Check if final (next_state) is terminal.\n        print(done[-1])\n\n        # ... do something with the data.\n        print(\"At the end of trajectories the length\"\n              \"can be < max_sequence_len\", len(reward))\n```\n\n\nVisualizing the dataset:\n\n![viewer|540x272](http://www.minerl.io/docs/_images/cropped_viewer.gif)\n```bash\n\n# Make sure your MINERL_DATA_ROOT is set!\nexport MINERL_DATA_ROOT='/your/local/path'\n\n# Visualizes a random trajectory of MineRLObtainDiamondDense-v0\npython3 -m minerl.viewer MineRLObtainDiamondDense-v0\n\n```\n\n## MineRL Competition\nIf you're here for the MineRL competition. Please check [the main competition website here](https://www.aicrowd.com/challenges/neurips-2019-minerl-competition).",
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