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        "author": "Eileen Kuehn, Max Fischer",
        "author_email": "mainekuehn@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Programming Language :: Python :: 3.9",
            "Topic :: Adaptive Technologies",
            "Topic :: Office/Business :: Scheduling",
            "Topic :: System :: Distributed Computing"
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        "description": "===============================================================================\nLapis is an adaptable, performant, and interactive scheduling (Lapis) simulator\n===============================================================================\n\nThe ``lapis`` library provides a framework and runtime for simulating the scheduling and usage of opportunistic\nand static resources.\n\nCommand Line Interface\n----------------------\n\nCurrently the library provides a simple command line interface that allows three modes of operation:\n\n* static provisioning of resources,\n* dynamic provisioning of resources, and\n* hybrid provisioning of resources.\n\nIn the most simple case you can apply a given workload, e.g. downloaded from the parallel workload archive to a\nstatic resource configuration:\n\n\n.. code:: bash\n\n    python3 simulate.py --log-file - static --job-file <path-to-workload> swf --pool-file <path-to-pool-definition> htcondor\n\nThe output of simulation is given to stdout. You have further options you can explore via\n\n.. code:: bash\n\n    python3 simulate.py --help\n\nand more specifically for the different operation modes with\n\n.. code:: bash\n\n    python3 simulate.py static --help\n",
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        "license": "MIT",
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        "name": "lapis-sim",
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