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# -*- coding: utf-8 -*-
from setuptools import setup
setup(
name='ipyparallel',
version='%%PORTVERSION%%',
description='Interactive Parallel Computing with IPython',
long_description='# Interactive Parallel Computing with IPython\n\nIPython Parallel (`ipyparallel`) is a Python package and collection of CLI scripts for controlling clusters of IPython processes, built on the Jupyter protocol.\n\nIPython Parallel provides the following commands:\n\n- ipcluster - start/stop/list clusters\n- ipcontroller - start a controller\n- ipengine - start an engine\n\n## Install\n\nInstall IPython Parallel:\n\n pip install ipyparallel\n\nThis will install and enable the IPython Parallel extensions\nfor Jupyter Notebook and (as of 7.0) Jupyter Lab 3.0.\n\n## Run\n\nStart a cluster:\n\n ipcluster start\n\nUse it from Python:\n\n```python\nimport os\nimport ipyparallel as ipp\n\ncluster = ipp.Cluster(n=4)\nwith cluster as rc:\n ar = rc[:].apply_async(os.getpid)\n pid_map = ar.get_dict()\n```\n\nSee [the docs](https://ipyparallel.readthedocs.io) for more info.\n',
author_email='IPython Development Team <ipython-dev@scipy.org>',
classifiers=[
'Framework :: Jupyter',
'Framework :: Jupyter :: JupyterLab',
'Framework :: Jupyter :: JupyterLab :: 3',
'Framework :: Jupyter :: JupyterLab :: Extensions',
'Framework :: Jupyter :: JupyterLab :: Extensions :: Prebuilt',
'Intended Audience :: Developers',
'Intended Audience :: Science/Research',
'Intended Audience :: System Administrators',
'License :: OSI Approved :: BSD License',
'Programming Language :: Python',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
],
install_requires=[
'decorator',
'entrypoints',
'ipykernel>=4.4',
'ipython>=4',
'jupyter-client',
'psutil',
'python-dateutil>=2.1',
'pyzmq>=18',
'tornado>=5.1',
'tqdm',
'traitlets>=4.3',
],
extras_require={
'benchmark': [
'asv',
],
'labextension': [
'jupyter-server',
'jupyterlab>=3',
],
'nbext': [
'jupyter-server',
'notebook',
],
'retroextension': [
'jupyter-server',
'retrolab',
],
'serverextension': [
'jupyter-server',
],
'test': [
'ipython[test]',
'pytest',
'pytest-asyncio',
'pytest-cov',
'testpath',
],
},
entry_points={
'console_scripts': [
'ipcluster = ipyparallel.cluster.app:main',
'ipcontroller = ipyparallel.controller.app:main',
'ipengine = ipyparallel.engine.app:main',
],
'ipyparallel.controller_launchers': [
'batch = ipyparallel.cluster.launcher:BatchControllerLauncher',
'htcondor = ipyparallel.cluster.launcher:HTCondorControllerLauncher',
'local = ipyparallel.cluster.launcher:LocalControllerLauncher',
'lsf = ipyparallel.cluster.launcher:LSFControllerLauncher',
'mpi = ipyparallel.cluster.launcher:MPIControllerLauncher',
'pbs = ipyparallel.cluster.launcher:PBSControllerLauncher',
'sge = ipyparallel.cluster.launcher:SGEControllerLauncher',
'slurm = ipyparallel.cluster.launcher:SlurmControllerLauncher',
'ssh = ipyparallel.cluster.launcher:SSHControllerLauncher',
'winhpc = ipyparallel.cluster.launcher:WindowsHPCControllerLauncher',
],
'ipyparallel.engine_launchers': [
'batch = ipyparallel.cluster.launcher:BatchEngineSetLauncher',
'htcondor = ipyparallel.cluster.launcher:HTCondorEngineSetLauncher',
'local = ipyparallel.cluster.launcher:LocalEngineSetLauncher',
'lsf = ipyparallel.cluster.launcher:LSFEngineSetLauncher',
'mpi = ipyparallel.cluster.launcher:MPIEngineSetLauncher',
'pbs = ipyparallel.cluster.launcher:PBSEngineSetLauncher',
'sge = ipyparallel.cluster.launcher:SGEEngineSetLauncher',
'slurm = ipyparallel.cluster.launcher:SlurmEngineSetLauncher',
'ssh = ipyparallel.cluster.launcher:SSHEngineSetLauncher',
'sshproxy = ipyparallel.cluster.launcher:SSHProxyEngineSetLauncher',
'winhpc = ipyparallel.cluster.launcher:WindowsHPCEngineSetLauncher',
],
},
packages=[
'benchmarks.benchmarks',
'benchmarks.profiling',
'ipyparallel',
'ipyparallel.apps',
'ipyparallel.client',
'ipyparallel.cluster',
'ipyparallel.controller',
'ipyparallel.engine',
'ipyparallel.nbextension',
'ipyparallel.serialize',
'ipyparallel.tests',
],
)
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