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    "info": {
        "author": "Kriszti\u00e1n Sz\u0171cs",
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        "description": "[![Build Status](http://52.0.47.203:8000/api/badges/lensacom/dask.mesos/status.svg)](http://52.0.47.203:8000/lensacom/dask.mesos)\n[![Join the chat at https://gitter.im/lensacom/dask.mesos](https://badges.gitter.im/lensacom/dask.mesos.svg)](https://gitter.im/lensacom/dask.mesos?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)\n\n[Apache Mesos](http://mesos.apache.org/) backend for [Dask](https://github.com/dask/dask) scheduling library.\nRun distributed python dask workflows on your Mesos cluster.\n\n## Notable Features\n\n - distributively run tasks in docker container\n - specify resource requirements per task\n - bin packing for optimized resource utilization\n\n## Installation\n\n**Prerequisits:** [satyr](https://github.com/lensacom/satyr), [dask](https://github.com/dask/dask.git), [toolz](https://pypi.python.org/pypi/toolz). All of them should be installed w/ the following commands:\n\n`pip install dask.mesos` or use [lensa/dask.mesos](https://hub.docker.com/r/lensa/dask.mesos/) Docker image\n\nConfiguration:\n- `MESOS_MASTER=zk://127.0.0.1:2181/mesos`\n- `ZOOKEEPER_HOST=127.0.0.1:2181`\n\n\n## Example\n\n```python\nfrom __future__ import absolute_import, division, print_function\n\nfrom dask_mesos import mesos, MesosExecutor\n\n\n@mesos(cpus=0.1, mem=64)\ndef add(x, y):\n    \"\"\"Run add on mesos with specified resources\"\"\"\n    return x + y\n\n\n@mesos(cpus=0.3, mem=128, image='lensa/dask.mesos')\ndef mul(x, y):\n    \"\"\"Run mul on mesos in specified docker image\"\"\"\n    return x * y\n\n\nwith MesosExecutor(name='dask') as executor:\n    \"\"\"This context handles Mesos scheduler's lifecycle\"\"\"\n    a, b = 23, 89\n    alot = add(a, b)\n    gigalot = mul(alot, add(10, 2))\n\n    gigalot.compute(get=executor.get)  # (a + b) * (10 + 2)\n    executor.compute([alot, gigalot])  # list of futures\n```\n\n\n## Configuring dask.mesos Tasks\n\nYou can configure your mesos tasks in your decorator, currently the following options are available:\n\n* **cpus**: The amount of cpus to use for the task.\n* **mem**: Memory in MB to reserver for the task.\n* **disk**: The amount of disk to use for the task.\n* **image**: A docker image name. If not set, mesos containerizer will be used.\n\nBoth mem and cpus are defaults to some low values set in _satyr_ so you're encouraged to override them here. More options like constraints, other resources are on the way.",
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        "license": "Apache License, Version 2.0",
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        "name": "dask.mesos",
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