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    "info": {
        "author": "gizio developers",
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        "classifiers": [
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
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        "description": "# gizio\nA light-weight Python package for [GIZMO](http://www.tapir.caltech.edu/~phopkins/Site/GIZMO.html) snapshot IO\n\n[![Build Status](https://travis-ci.org/galaxy-lab/gizio.svg?branch=master)](https://travis-ci.org/galaxy-lab/gizio)\n[![Documentation Status](https://readthedocs.org/projects/gizio/badge/?version=latest)](https://gizio.readthedocs.io/en/latest/?badge=latest)\n\n- Development: https://github.com/galaxy-lab/gizio\n- Documentation: https://gizio.readthedocs.io\n\n## About\n\nThere are [two snapshot reading scripts](http://www.tapir.caltech.edu/~phopkins/Site/GIZMO_files/gizmo_documentation.html#snaps-reading) `readsnap.py` and `load_from_snapshot.py` accompanying the [GIZMO source code](https://bitbucket.org/phopkins/gizmo-public/src/). gizio aims to replace `load_from_snapshot.py` with several improvements:\n\n- A more flexible interface to access field\n- A unit system powered by [unyt](https://unyt.readthedocs.io)\n- Easier format spec customization without source code modification\n- Easier to install and maintain as a Python package\n\nWe acknowledge [yt](https://yt-project.org) and [pynbody](https://pynbody.github.io/pynbody/) for interface design inspirations.\n\n## Demo\n\nThe sample data could be downloaded [here](http://yt-project.org/data/FIRE_M12i_ref11.tar.gz).\n\nLoad a snapshot:\n\n```python\n>>> import gizio\n>>> snap = gizio.load('data/FIRE_M12i_ref11/snapshot_600.hdf5')\n```\n\nView its header:\n\n```python\n>>> snap.header\n{'time': unyt_quantity(13.79874688, 'Gyr'),\n 'n_file': 1,\n 'mass_tab': unyt_array([0., 0., 0., 0., 0., 0.], 'code_mass'),\n 'f_sfr': 1,\n 'f_cool': 1,\n 'f_fb': 1,\n 'f_age': 1,\n 'f_met': 11,\n 'n_part': array([ 753678, 1104128, 2567905,       0,  361239,       0], dtype=uint32),\n 'n_part_pf': [array([ 753678, 1104128, 2567905,       0,  361239,       0], dtype=int32)],\n 'box_size': unyt_quantity(60000., 'code_length'),\n 'Om0': 0.272,\n 'OmL': 0.728,\n 'h': 0.702,\n 'z': 0.0,\n 'cosmological': True}\n```\n\nLoad a field:\n\n```python\n>>> snap['PartType0', 'Masses']\nunyt_array([3.175186e-05, 3.175186e-05, 3.175186e-05, ..., 3.175186e-05,\n            3.175186e-05, 3.175186e-05], dtype=float32, units='code_mass')\n```\n\nLoad a field using shorthands:\n\n```python\n>>> snap.pt['gas']['m']\nunyt_array([3.175186e-05, 3.175186e-05, 3.175186e-05, ..., 3.175186e-05,\n            3.175186e-05, 3.175186e-05], dtype=float32, units='code_mass')\n```\n\nSelect particles by masking:\n\n```python\n>>> gas = snap.pt['gas']\n>>> hot_gas = gas[gas['t'].to_value('K') > 1e5]\n>>> hot_gas['t'].min()\nunyt_quantity(100000.79, dtype=float32, units='K')\n```\n\nSelect particles by composing:\n\n```python\n>>> star = snap.pt['star']\n>>> baryon = gas | star\n>>> len(gas)\n753678\n>>> len(star)\n361239\n>>> len(baryon)\n1114917\n>>> baryon['m']\nunyt_array([3.1751861e-05, 3.1751861e-05, 3.1751861e-05, ...,\n            2.2581291e-05, 2.3056862e-05, 2.7417644e-05], dtype=float32, units='code_mass')\n```\n\n## Installation\n\nInstall latest stable version from PyPI:\n\n```bash\npip install gizio\n```\n\nInstall development version from source:\n\n```bash\ngit clone https://github.com/galaxy-lab/gizio.git\ncd gizio\npip install -e .\n```\n\n\n",
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